Namespace(accumulate=1, batch_norm=False, batch_size=16, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, freeze_bn=False, hard_weight=0.5, hashtag='', input_5d=False, input_size=112, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='c3d_seg1_k400_b16_g8_f16s2_cosine_epoch196_lr01_warm_24_warmlr_001_run1.log', lr=0.01, lr_decay=0.1, lr_decay_epoch='40,60', lr_decay_period=0, lr_mode='cosine', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='c3d_kinetics400', momentum=0.9, new_height=128, new_length=16, new_step=2, new_width=171, no_wd=False, num_classes=400, num_crop=1, num_epochs=196, num_gpus=8, num_segments=1, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/kinetics400/c3d/c3d_seg1_k400_b16_g8_f16s2_cosine_epoch196_lr01_warm_24_warmlr_001_run1', save_frequency=10, scale_ratios='1.0,0.8', slow_temporal_stride=16, slowfast=False, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=24, warmup_lr=0.001, wd=0.0001) Total batch size is set to 128 on 8 GPUs C3D( (conv1): Conv3D(3 -> 64, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (pool1): MaxPool3D(size=(1, 2, 2), stride=(1, 2, 2), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (conv2): Conv3D(64 -> 128, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (pool2): MaxPool3D(size=(2, 2, 2), stride=(2, 2, 2), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (conv3a): Conv3D(128 -> 256, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (conv3b): Conv3D(256 -> 256, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (pool3): MaxPool3D(size=(2, 2, 2), stride=(2, 2, 2), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (conv4a): Conv3D(256 -> 512, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (conv4b): Conv3D(512 -> 512, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (pool4): MaxPool3D(size=(2, 2, 2), stride=(2, 2, 2), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (conv5a): Conv3D(512 -> 512, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (conv5b): Conv3D(512 -> 512, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1)) (pool5): MaxPool3D(size=(2, 2, 2), stride=(2, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (fc6): Dense(8192 -> 4096, linear) (fc7): Dense(4096 -> 4096, linear) (fc8): Dense(4096 -> 400, linear) (dropout): Dropout(p = 0.5, axes=()) (relu): Activation(relu) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[1879] Speed: 120.284654 samples/sec accuracy=0.406250 loss=5.991394 lr=0.001010 Epoch[000] Batch [0099]/[1879] Speed: 183.732160 samples/sec accuracy=0.406250 loss=5.991297 lr=0.001020 Epoch[000] Batch [0149]/[1879] Speed: 173.429860 samples/sec accuracy=0.395833 loss=5.991208 lr=0.001030 Epoch[000] Batch [0199]/[1879] Speed: 188.830194 samples/sec accuracy=0.414062 loss=5.991099 lr=0.001040 Epoch[000] Batch [0249]/[1879] Speed: 166.127279 samples/sec accuracy=0.415625 loss=5.990989 lr=0.001050 Epoch[000] Batch [0299]/[1879] Speed: 185.177215 samples/sec accuracy=0.416667 loss=5.990880 lr=0.001060 Epoch[000] Batch [0349]/[1879] Speed: 176.930465 samples/sec accuracy=0.408482 loss=5.990773 lr=0.001070 Epoch[000] Batch [0399]/[1879] Speed: 180.445300 samples/sec accuracy=0.408203 loss=5.990675 lr=0.001080 Epoch[000] Batch [0449]/[1879] Speed: 169.927883 samples/sec accuracy=0.404514 loss=5.990564 lr=0.001090 Epoch[000] Batch [0499]/[1879] Speed: 185.080067 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samples/sec accuracy=0.390086 loss=5.988360 lr=0.001289 Epoch[000] Batch [1499]/[1879] Speed: 168.754698 samples/sec accuracy=0.387500 loss=5.988239 lr=0.001299 Epoch[000] Batch [1549]/[1879] Speed: 186.702059 samples/sec accuracy=0.383065 loss=5.988122 lr=0.001309 Epoch[000] Batch [1599]/[1879] Speed: 170.377753 samples/sec accuracy=0.382812 loss=5.988015 lr=0.001319 Epoch[000] Batch [1649]/[1879] Speed: 185.052552 samples/sec accuracy=0.381629 loss=5.987893 lr=0.001329 Epoch[000] Batch [1699]/[1879] Speed: 165.070500 samples/sec accuracy=0.382353 loss=5.987778 lr=0.001339 Epoch[000] Batch [1749]/[1879] Speed: 182.945427 samples/sec accuracy=0.381250 loss=5.987650 lr=0.001349 Epoch[000] Batch [1799]/[1879] Speed: 172.335155 samples/sec accuracy=0.382378 loss=5.987538 lr=0.001359 Epoch[000] Batch [1849]/[1879] Speed: 176.532599 samples/sec accuracy=0.380912 loss=5.987423 lr=0.001369 Batch [0049]/[0151]: acc-top1=0.000000 acc-top5=0.781250 Batch [0099]/[0151]: acc-top1=0.390625 acc-top5=1.554688 Batch [0149]/[0151]: acc-top1=0.260417 acc-top5=1.291667 [Epoch 000] training: accuracy=0.377944 loss=5.987356 [Epoch 000] speed: 176 samples/sec time cost: 1480.921621 [Epoch 000] validation: acc-top1=0.258692 acc-top5=1.283113 loss=5.991671 Epoch[001] Batch [0049]/[1880] Speed: 134.206028 samples/sec accuracy=0.375000 loss=5.982825 lr=0.001385 Epoch[001] Batch [0099]/[1880] Speed: 189.470513 samples/sec accuracy=0.398438 loss=5.982607 lr=0.001395 Epoch[001] Batch [0149]/[1880] Speed: 172.080517 samples/sec accuracy=0.421875 loss=5.982371 lr=0.001405 Epoch[001] Batch [0199]/[1880] Speed: 195.486393 samples/sec accuracy=0.398438 loss=5.982192 lr=0.001415 Epoch[001] Batch [0249]/[1880] Speed: 167.958698 samples/sec accuracy=0.387500 loss=5.982114 lr=0.001425 Epoch[001] Batch [0299]/[1880] Speed: 200.596650 samples/sec accuracy=0.382812 loss=5.982036 lr=0.001435 Epoch[001] Batch [0349]/[1880] Speed: 177.508733 samples/sec accuracy=0.379464 loss=5.981969 lr=0.001445 Epoch[001] Batch [0399]/[1880] Speed: 182.257831 samples/sec accuracy=0.382812 loss=5.981836 lr=0.001455 Epoch[001] Batch [0449]/[1880] Speed: 176.157107 samples/sec accuracy=0.381944 loss=5.981697 lr=0.001465 Epoch[001] Batch [0499]/[1880] Speed: 179.953716 samples/sec accuracy=0.376562 loss=5.981541 lr=0.001475 Epoch[001] Batch [0549]/[1880] Speed: 181.390690 samples/sec accuracy=0.377841 loss=5.981446 lr=0.001485 Epoch[001] Batch [0599]/[1880] Speed: 175.175277 samples/sec accuracy=0.376302 loss=5.981321 lr=0.001495 Epoch[001] Batch [0649]/[1880] Speed: 201.666189 samples/sec accuracy=0.368990 loss=5.981210 lr=0.001505 Epoch[001] Batch [0699]/[1880] Speed: 162.149114 samples/sec accuracy=0.373884 loss=5.981067 lr=0.001515 Epoch[001] Batch [0749]/[1880] Speed: 196.565151 samples/sec accuracy=0.372917 loss=5.980933 lr=0.001525 Epoch[001] Batch [0799]/[1880] Speed: 171.118464 samples/sec accuracy=0.374023 loss=5.980864 lr=0.001535 Epoch[001] Batch [0849]/[1880] Speed: 184.974548 samples/sec accuracy=0.374081 loss=5.980663 lr=0.001545 Epoch[001] Batch [0899]/[1880] Speed: 193.891353 samples/sec accuracy=0.373264 loss=5.980528 lr=0.001555 Epoch[001] Batch [0949]/[1880] Speed: 176.401427 samples/sec accuracy=0.375822 loss=5.980398 lr=0.001565 Epoch[001] Batch [0999]/[1880] Speed: 186.672470 samples/sec accuracy=0.373437 loss=5.980247 lr=0.001575 Epoch[001] Batch [1049]/[1880] Speed: 194.635184 samples/sec accuracy=0.372024 loss=5.980108 lr=0.001585 Epoch[001] Batch [1099]/[1880] Speed: 175.369436 samples/sec accuracy=0.374290 loss=5.979943 lr=0.001595 Epoch[001] Batch [1149]/[1880] Speed: 184.005020 samples/sec accuracy=0.368886 loss=5.979748 lr=0.001605 Epoch[001] Batch [1199]/[1880] Speed: 184.671584 samples/sec accuracy=0.373047 loss=5.979589 lr=0.001615 Epoch[001] Batch [1249]/[1880] Speed: 184.392491 samples/sec accuracy=0.375625 loss=5.979409 lr=0.001624 Epoch[001] Batch [1299]/[1880] Speed: 179.100734 samples/sec accuracy=0.374399 loss=5.979234 lr=0.001634 Epoch[001] Batch [1349]/[1880] Speed: 199.499837 samples/sec accuracy=0.374421 loss=5.979049 lr=0.001644 Epoch[001] Batch [1399]/[1880] Speed: 183.329249 samples/sec accuracy=0.377790 loss=5.978786 lr=0.001654 Epoch[001] Batch [1449]/[1880] Speed: 174.675781 samples/sec accuracy=0.382543 loss=5.978350 lr=0.001664 Epoch[001] Batch [1499]/[1880] Speed: 201.051906 samples/sec accuracy=0.384375 loss=5.977131 lr=0.001674 Epoch[001] Batch [1549]/[1880] Speed: 164.558996 samples/sec accuracy=0.384577 loss=5.975376 lr=0.001684 Epoch[001] Batch [1599]/[1880] Speed: 205.164665 samples/sec accuracy=0.382324 loss=5.973843 lr=0.001694 Epoch[001] Batch [1649]/[1880] Speed: 158.407164 samples/sec accuracy=0.388731 loss=5.972197 lr=0.001704 Epoch[001] Batch [1699]/[1880] Speed: 206.640054 samples/sec accuracy=0.393842 loss=5.970628 lr=0.001714 Epoch[001] Batch [1749]/[1880] Speed: 186.460753 samples/sec accuracy=0.392857 loss=5.968948 lr=0.001724 Epoch[001] Batch [1799]/[1880] Speed: 172.710196 samples/sec accuracy=0.395833 loss=5.967439 lr=0.001734 Epoch[001] Batch [1849]/[1880] Speed: 192.271073 samples/sec accuracy=0.394426 loss=5.965850 lr=0.001744 Batch [0049]/[0151]: acc-top1=0.000000 acc-top5=0.765625 Batch [0099]/[0151]: acc-top1=0.000000 acc-top5=1.226562 Batch [0149]/[0151]: acc-top1=0.255208 acc-top5=1.328125 [Epoch 001] training: accuracy=0.394781 loss=5.965015 [Epoch 001] speed: 181 samples/sec time cost: 1437.580429 [Epoch 001] validation: acc-top1=0.253518 acc-top5=1.319329 loss=6.056046 Epoch[002] Batch [0049]/[1880] Speed: 136.633213 samples/sec accuracy=0.390625 loss=5.905790 lr=0.001760 Epoch[002] Batch [0099]/[1880] Speed: 173.948796 samples/sec accuracy=0.367188 loss=5.906373 lr=0.001770 Epoch[002] Batch [0149]/[1880] Speed: 200.609193 samples/sec accuracy=0.359375 loss=5.907905 lr=0.001780 Epoch[002] Batch [0199]/[1880] Speed: 156.809790 samples/sec accuracy=0.386719 loss=5.908779 lr=0.001790 Epoch[002] Batch [0249]/[1880] Speed: 204.570009 samples/sec accuracy=0.403125 loss=5.909281 lr=0.001800 Epoch[002] Batch [0299]/[1880] Speed: 199.803910 samples/sec accuracy=0.403646 loss=5.909624 lr=0.001810 Epoch[002] Batch [0349]/[1880] Speed: 170.667756 samples/sec accuracy=0.408482 loss=5.908553 lr=0.001820 Epoch[002] Batch [0399]/[1880] Speed: 178.844523 samples/sec accuracy=0.412109 loss=5.908618 lr=0.001830 Epoch[002] Batch [0449]/[1880] Speed: 184.853326 samples/sec accuracy=0.416667 loss=5.909257 lr=0.001840 Epoch[002] Batch [0499]/[1880] Speed: 193.461807 samples/sec accuracy=0.410938 loss=5.909671 lr=0.001850 Epoch[002] Batch [0549]/[1880] Speed: 180.274021 samples/sec accuracy=0.417614 loss=5.909278 lr=0.001860 Epoch[002] Batch [0599]/[1880] Speed: 182.266779 samples/sec accuracy=0.410156 loss=5.909257 lr=0.001870 Epoch[002] Batch [0649]/[1880] Speed: 175.341283 samples/sec accuracy=0.413462 loss=5.907982 lr=0.001880 Epoch[002] Batch [0699]/[1880] Speed: 203.323839 samples/sec accuracy=0.418527 loss=5.907454 lr=0.001890 Epoch[002] 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accuracy=0.417969 loss=5.902223 lr=0.001990 Epoch[002] Batch [1249]/[1880] Speed: 174.251913 samples/sec accuracy=0.418750 loss=5.901846 lr=0.002000 Epoch[002] Batch [1299]/[1880] Speed: 179.278080 samples/sec accuracy=0.423678 loss=5.901104 lr=0.002010 Epoch[002] Batch [1349]/[1880] Speed: 199.566216 samples/sec accuracy=0.429398 loss=5.900387 lr=0.002020 Epoch[002] Batch [1399]/[1880] Speed: 167.706781 samples/sec accuracy=0.433036 loss=5.899638 lr=0.002030 Epoch[002] Batch [1449]/[1880] Speed: 183.975109 samples/sec accuracy=0.436961 loss=5.898983 lr=0.002040 Epoch[002] Batch [1499]/[1880] Speed: 198.086277 samples/sec accuracy=0.440104 loss=5.898340 lr=0.002050 Epoch[002] Batch [1549]/[1880] Speed: 166.676117 samples/sec accuracy=0.449597 loss=5.897547 lr=0.002060 Epoch[002] Batch [1599]/[1880] Speed: 191.863932 samples/sec accuracy=0.451660 loss=5.896863 lr=0.002070 Epoch[002] Batch [1649]/[1880] Speed: 175.723609 samples/sec accuracy=0.457860 loss=5.896046 lr=0.002080 Epoch[002] Batch [1699]/[1880] Speed: 184.791315 samples/sec accuracy=0.467831 loss=5.895258 lr=0.002089 Epoch[002] Batch [1749]/[1880] Speed: 177.983075 samples/sec accuracy=0.472768 loss=5.894306 lr=0.002099 Epoch[002] Batch [1799]/[1880] Speed: 191.879457 samples/sec accuracy=0.482205 loss=5.893554 lr=0.002109 Epoch[002] Batch [1849]/[1880] Speed: 173.563530 samples/sec accuracy=0.486064 loss=5.893010 lr=0.002119 Batch [0049]/[0151]: acc-top1=0.750000 acc-top5=1.546875 Batch [0099]/[0151]: acc-top1=0.375000 acc-top5=1.609375 Batch [0149]/[0151]: acc-top1=0.479167 acc-top5=2.276042 [Epoch 002] training: accuracy=0.487866 loss=5.892543 [Epoch 002] speed: 181 samples/sec time cost: 1441.592008 [Epoch 002] validation: acc-top1=0.475993 acc-top5=2.260969 loss=5.957815 Epoch[003] Batch [0049]/[1880] Speed: 129.743267 samples/sec accuracy=0.656250 loss=5.862195 lr=0.002135 Epoch[003] Batch [0099]/[1880] Speed: 182.837518 samples/sec accuracy=0.781250 loss=5.862228 lr=0.002145 Epoch[003] Batch 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accuracy=0.792969 loss=5.857038 lr=0.002245 Epoch[003] Batch [0649]/[1880] Speed: 187.036721 samples/sec accuracy=0.782452 loss=5.855240 lr=0.002255 Epoch[003] Batch [0699]/[1880] Speed: 182.078471 samples/sec accuracy=0.789062 loss=5.855206 lr=0.002265 Epoch[003] Batch [0749]/[1880] Speed: 178.827813 samples/sec accuracy=0.790625 loss=5.854708 lr=0.002275 Epoch[003] Batch [0799]/[1880] Speed: 189.499417 samples/sec accuracy=0.781250 loss=5.854194 lr=0.002285 Epoch[003] Batch [0849]/[1880] Speed: 172.651873 samples/sec accuracy=0.772978 loss=5.853549 lr=0.002295 Epoch[003] Batch [0899]/[1880] Speed: 187.272304 samples/sec accuracy=0.770833 loss=5.852512 lr=0.002305 Epoch[003] Batch [0949]/[1880] Speed: 188.140922 samples/sec accuracy=0.763980 loss=5.851766 lr=0.002315 Epoch[003] Batch [0999]/[1880] Speed: 169.207573 samples/sec accuracy=0.757031 loss=5.851635 lr=0.002325 Epoch[003] Batch [1049]/[1880] Speed: 185.247346 samples/sec accuracy=0.760417 loss=5.851080 lr=0.002335 Epoch[003] 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accuracy=0.754536 loss=5.847618 lr=0.002435 Epoch[003] Batch [1599]/[1880] Speed: 190.843765 samples/sec accuracy=0.754883 loss=5.847142 lr=0.002445 Epoch[003] Batch [1649]/[1880] Speed: 175.025352 samples/sec accuracy=0.752367 loss=5.846734 lr=0.002455 Epoch[003] Batch [1699]/[1880] Speed: 186.706539 samples/sec accuracy=0.760570 loss=5.846044 lr=0.002465 Epoch[003] Batch [1749]/[1880] Speed: 171.772456 samples/sec accuracy=0.760268 loss=5.845500 lr=0.002475 Epoch[003] Batch [1799]/[1880] Speed: 195.629541 samples/sec accuracy=0.763889 loss=5.844909 lr=0.002485 Epoch[003] Batch [1849]/[1880] Speed: 176.363378 samples/sec accuracy=0.766470 loss=5.844273 lr=0.002495 Batch [0049]/[0151]: acc-top1=0.109375 acc-top5=0.984375 Batch [0099]/[0151]: acc-top1=0.703125 acc-top5=2.242188 Batch [0149]/[0151]: acc-top1=0.604167 acc-top5=2.776042 [Epoch 003] training: accuracy=0.765459 loss=5.843731 [Epoch 003] speed: 182 samples/sec time cost: 1437.207751 [Epoch 003] validation: acc-top1=0.600166 acc-top5=2.757657 loss=5.922608 Epoch[004] Batch [0049]/[1880] Speed: 132.809742 samples/sec accuracy=0.781250 loss=5.789082 lr=0.002511 Epoch[004] Batch [0099]/[1880] Speed: 178.240004 samples/sec accuracy=0.796875 loss=5.754781 lr=0.002521 Epoch[004] Batch [0149]/[1880] Speed: 198.592084 samples/sec accuracy=0.781250 loss=5.734475 lr=0.002531 Epoch[004] Batch [0199]/[1880] Speed: 162.880131 samples/sec accuracy=0.789062 loss=5.720745 lr=0.002541 Epoch[004] Batch [0249]/[1880] Speed: 198.230613 samples/sec accuracy=0.775000 loss=5.716206 lr=0.002551 Epoch[004] Batch [0299]/[1880] Speed: 180.410558 samples/sec accuracy=0.781250 loss=5.709666 lr=0.002561 Epoch[004] Batch [0349]/[1880] Speed: 181.363747 samples/sec accuracy=0.801339 loss=5.703169 lr=0.002570 Epoch[004] Batch [0399]/[1880] Speed: 183.664452 samples/sec accuracy=0.808594 loss=5.697592 lr=0.002580 Epoch[004] Batch [0449]/[1880] Speed: 179.572043 samples/sec accuracy=0.824653 loss=5.695172 lr=0.002590 Epoch[004] Batch 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accuracy=0.878289 loss=5.667199 lr=0.002690 Epoch[004] Batch [0999]/[1880] Speed: 177.959355 samples/sec accuracy=0.878125 loss=5.664970 lr=0.002700 Epoch[004] Batch [1049]/[1880] Speed: 177.202435 samples/sec accuracy=0.877232 loss=5.661491 lr=0.002710 Epoch[004] Batch [1099]/[1880] Speed: 181.073792 samples/sec accuracy=0.888494 loss=5.659176 lr=0.002720 Epoch[004] Batch [1149]/[1880] Speed: 199.144513 samples/sec accuracy=0.887228 loss=5.657429 lr=0.002730 Epoch[004] Batch [1199]/[1880] Speed: 158.997579 samples/sec accuracy=0.900391 loss=5.654451 lr=0.002740 Epoch[004] Batch [1249]/[1880] Speed: 199.050353 samples/sec accuracy=0.905625 loss=5.650522 lr=0.002750 Epoch[004] Batch [1299]/[1880] Speed: 177.157699 samples/sec accuracy=0.921274 loss=5.647876 lr=0.002760 Epoch[004] Batch [1349]/[1880] Speed: 178.116971 samples/sec accuracy=0.934606 loss=5.643977 lr=0.002770 Epoch[004] Batch [1399]/[1880] Speed: 197.036192 samples/sec accuracy=0.942522 loss=5.641191 lr=0.002780 Epoch[004] Batch [1449]/[1880] Speed: 180.929199 samples/sec accuracy=0.959052 loss=5.637818 lr=0.002790 Epoch[004] Batch [1499]/[1880] Speed: 177.355460 samples/sec accuracy=0.968750 loss=5.634572 lr=0.002800 Epoch[004] Batch [1549]/[1880] Speed: 198.427174 samples/sec accuracy=0.983367 loss=5.630983 lr=0.002810 Epoch[004] Batch [1599]/[1880] Speed: 166.282320 samples/sec accuracy=0.999512 loss=5.627674 lr=0.002820 Epoch[004] Batch [1649]/[1880] Speed: 191.844903 samples/sec accuracy=1.026989 loss=5.623592 lr=0.002830 Epoch[004] Batch [1699]/[1880] Speed: 198.894189 samples/sec accuracy=1.037684 loss=5.620912 lr=0.002840 Epoch[004] Batch [1749]/[1880] Speed: 166.613131 samples/sec accuracy=1.051786 loss=5.617768 lr=0.002850 Epoch[004] Batch [1799]/[1880] Speed: 199.341793 samples/sec accuracy=1.065972 loss=5.614672 lr=0.002860 Epoch[004] Batch [1849]/[1880] Speed: 180.154083 samples/sec accuracy=1.081081 loss=5.610978 lr=0.002870 Batch [0049]/[0151]: acc-top1=1.500000 acc-top5=6.000000 Batch [0099]/[0151]: acc-top1=1.570312 acc-top5=6.281250 Batch [0149]/[0151]: acc-top1=1.406250 acc-top5=5.604167 [Epoch 004] training: accuracy=1.092503 loss=5.608572 [Epoch 004] speed: 181 samples/sec time cost: 1438.715891 [Epoch 004] validation: acc-top1=1.396937 acc-top5=5.572227 loss=5.577246 Epoch[005] Batch [0049]/[1879] Speed: 127.533689 samples/sec accuracy=1.921875 loss=5.457291 lr=0.002886 Epoch[005] Batch [0099]/[1879] Speed: 203.466547 samples/sec accuracy=1.906250 loss=5.447238 lr=0.002896 Epoch[005] Batch [0149]/[1879] Speed: 173.295791 samples/sec accuracy=1.875000 loss=5.455813 lr=0.002906 Epoch[005] Batch [0199]/[1879] Speed: 185.273927 samples/sec accuracy=1.882812 loss=5.449240 lr=0.002916 Epoch[005] Batch [0249]/[1879] Speed: 166.522555 samples/sec accuracy=1.862500 loss=5.442224 lr=0.002926 Epoch[005] Batch [0299]/[1879] Speed: 194.614912 samples/sec accuracy=1.890625 loss=5.439181 lr=0.002936 Epoch[005] Batch [0349]/[1879] Speed: 189.216751 samples/sec accuracy=1.892857 loss=5.438248 lr=0.002946 Epoch[005] Batch [0399]/[1879] Speed: 161.949296 samples/sec accuracy=1.896484 loss=5.431076 lr=0.002956 Epoch[005] Batch [0449]/[1879] Speed: 195.658040 samples/sec accuracy=1.866319 loss=5.427997 lr=0.002966 Epoch[005] Batch [0499]/[1879] Speed: 176.458194 samples/sec accuracy=1.885938 loss=5.424376 lr=0.002976 Epoch[005] Batch [0549]/[1879] Speed: 191.354525 samples/sec accuracy=1.903409 loss=5.420295 lr=0.002986 Epoch[005] Batch [0599]/[1879] Speed: 180.556732 samples/sec accuracy=1.944010 loss=5.416831 lr=0.002996 Epoch[005] Batch [0649]/[1879] Speed: 184.176436 samples/sec accuracy=1.935096 loss=5.412286 lr=0.003006 Epoch[005] Batch [0699]/[1879] Speed: 171.135916 samples/sec accuracy=1.933036 loss=5.407592 lr=0.003016 Epoch[005] Batch [0749]/[1879] Speed: 199.185195 samples/sec accuracy=1.946875 loss=5.403927 lr=0.003026 Epoch[005] Batch [0799]/[1879] Speed: 172.828423 samples/sec accuracy=1.967773 loss=5.401198 lr=0.003036 Epoch[005] 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accuracy=2.112981 loss=5.371097 lr=0.003135 Epoch[005] Batch [1349]/[1879] Speed: 189.704183 samples/sec accuracy=2.130787 loss=5.367218 lr=0.003145 Epoch[005] Batch [1399]/[1879] Speed: 197.436723 samples/sec accuracy=2.145647 loss=5.364686 lr=0.003155 Epoch[005] Batch [1449]/[1879] Speed: 156.492883 samples/sec accuracy=2.150323 loss=5.361870 lr=0.003165 Epoch[005] Batch [1499]/[1879] Speed: 200.667469 samples/sec accuracy=2.183854 loss=5.358985 lr=0.003175 Epoch[005] Batch [1549]/[1879] Speed: 200.653395 samples/sec accuracy=2.192540 loss=5.356705 lr=0.003185 Epoch[005] Batch [1599]/[1879] Speed: 161.164893 samples/sec accuracy=2.201660 loss=5.354741 lr=0.003195 Epoch[005] Batch [1649]/[1879] Speed: 195.385760 samples/sec accuracy=2.227273 loss=5.351341 lr=0.003205 Epoch[005] Batch [1699]/[1879] Speed: 182.122723 samples/sec accuracy=2.256434 loss=5.348546 lr=0.003215 Epoch[005] Batch [1749]/[1879] Speed: 179.156096 samples/sec accuracy=2.261161 loss=5.345726 lr=0.003225 Epoch[005] Batch [1799]/[1879] Speed: 180.482855 samples/sec accuracy=2.272135 loss=5.342926 lr=0.003235 Epoch[005] Batch [1849]/[1879] Speed: 186.831712 samples/sec accuracy=2.282939 loss=5.339729 lr=0.003245 Batch [0049]/[0151]: acc-top1=1.890625 acc-top5=6.171875 Batch [0099]/[0151]: acc-top1=2.234375 acc-top5=8.421875 Batch [0149]/[0151]: acc-top1=2.177083 acc-top5=8.541667 [Epoch 005] training: accuracy=2.296767 loss=5.337913 [Epoch 005] speed: 181 samples/sec time cost: 1442.763654 [Epoch 005] validation: acc-top1=2.162666 acc-top5=8.521316 loss=5.425755 Epoch[006] Batch [0049]/[1880] Speed: 133.047162 samples/sec accuracy=2.718750 loss=5.257901 lr=0.003261 Epoch[006] Batch [0099]/[1880] Speed: 194.197036 samples/sec accuracy=2.648438 loss=5.270681 lr=0.003271 Epoch[006] Batch [0149]/[1880] Speed: 173.434099 samples/sec accuracy=2.755208 loss=5.253206 lr=0.003281 Epoch[006] Batch [0199]/[1880] Speed: 188.296332 samples/sec accuracy=2.820312 loss=5.249625 lr=0.003291 Epoch[006] Batch 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accuracy=2.984375 loss=5.211364 lr=0.003391 Epoch[006] Batch [0749]/[1880] Speed: 190.770294 samples/sec accuracy=2.996875 loss=5.209997 lr=0.003401 Epoch[006] Batch [0799]/[1880] Speed: 192.870977 samples/sec accuracy=2.999023 loss=5.206521 lr=0.003411 Epoch[006] Batch [0849]/[1880] Speed: 186.607238 samples/sec accuracy=3.035846 loss=5.203414 lr=0.003420 Epoch[006] Batch [0899]/[1880] Speed: 163.055295 samples/sec accuracy=3.077257 loss=5.201166 lr=0.003430 Epoch[006] Batch [0949]/[1880] Speed: 208.083000 samples/sec accuracy=3.094572 loss=5.199314 lr=0.003440 Epoch[006] Batch [0999]/[1880] Speed: 167.974568 samples/sec accuracy=3.133594 loss=5.195260 lr=0.003450 Epoch[006] Batch [1049]/[1880] Speed: 187.060289 samples/sec accuracy=3.155506 loss=5.191445 lr=0.003460 Epoch[006] Batch [1099]/[1880] Speed: 203.102803 samples/sec accuracy=3.169744 loss=5.189421 lr=0.003470 Epoch[006] Batch [1149]/[1880] Speed: 169.582131 samples/sec accuracy=3.173913 loss=5.187611 lr=0.003480 Epoch[006] Batch [1199]/[1880] Speed: 188.832051 samples/sec accuracy=3.201823 loss=5.183896 lr=0.003490 Epoch[006] Batch [1249]/[1880] Speed: 187.530964 samples/sec accuracy=3.213750 loss=5.182442 lr=0.003500 Epoch[006] Batch [1299]/[1880] Speed: 172.892570 samples/sec accuracy=3.241587 loss=5.179172 lr=0.003510 Epoch[006] Batch [1349]/[1880] Speed: 193.437570 samples/sec accuracy=3.255208 loss=5.176807 lr=0.003520 Epoch[006] Batch [1399]/[1880] Speed: 183.149487 samples/sec accuracy=3.274554 loss=5.174148 lr=0.003530 Epoch[006] Batch [1449]/[1880] Speed: 176.127047 samples/sec accuracy=3.309267 loss=5.170641 lr=0.003540 Epoch[006] Batch [1499]/[1880] Speed: 206.843751 samples/sec accuracy=3.328125 loss=5.167775 lr=0.003550 Epoch[006] Batch [1549]/[1880] Speed: 170.952015 samples/sec accuracy=3.343750 loss=5.165068 lr=0.003560 Epoch[006] Batch [1599]/[1880] Speed: 186.029743 samples/sec accuracy=3.358398 loss=5.162970 lr=0.003570 Epoch[006] Batch [1649]/[1880] Speed: 195.308230 samples/sec accuracy=3.392045 loss=5.159232 lr=0.003580 Epoch[006] Batch [1699]/[1880] Speed: 175.596955 samples/sec accuracy=3.413143 loss=5.156289 lr=0.003590 Epoch[006] Batch [1749]/[1880] Speed: 183.190066 samples/sec accuracy=3.441518 loss=5.153824 lr=0.003600 Epoch[006] Batch [1799]/[1880] Speed: 190.592958 samples/sec accuracy=3.474826 loss=5.151090 lr=0.003610 Epoch[006] Batch [1849]/[1880] Speed: 176.767729 samples/sec accuracy=3.503378 loss=5.148569 lr=0.003620 Batch [0049]/[0151]: acc-top1=2.781250 acc-top5=9.937500 Batch [0099]/[0151]: acc-top1=3.781250 acc-top5=12.703125 Batch [0149]/[0151]: acc-top1=4.010417 acc-top5=13.322917 [Epoch 006] training: accuracy=3.526430 loss=5.147143 [Epoch 006] speed: 182 samples/sec time cost: 1432.169304 [Epoch 006] validation: acc-top1=4.004553 acc-top5=13.312293 loss=5.098560 Epoch[007] Batch [0049]/[1880] Speed: 130.520239 samples/sec accuracy=4.578125 loss=5.039050 lr=0.003636 Epoch[007] Batch [0099]/[1880] Speed: 190.544892 samples/sec accuracy=4.554688 loss=5.046587 lr=0.003646 Epoch[007] Batch [0149]/[1880] Speed: 187.213196 samples/sec accuracy=4.562500 loss=5.045539 lr=0.003656 Epoch[007] Batch [0199]/[1880] Speed: 181.242263 samples/sec accuracy=4.597656 loss=5.036655 lr=0.003666 Epoch[007] Batch [0249]/[1880] Speed: 189.836911 samples/sec accuracy=4.603125 loss=5.034076 lr=0.003676 Epoch[007] Batch [0299]/[1880] Speed: 183.193765 samples/sec accuracy=4.703125 loss=5.030264 lr=0.003686 Epoch[007] Batch [0349]/[1880] Speed: 176.812046 samples/sec accuracy=4.756696 loss=5.029700 lr=0.003696 Epoch[007] Batch [0399]/[1880] Speed: 186.008601 samples/sec accuracy=4.734375 loss=5.027824 lr=0.003706 Epoch[007] Batch [0449]/[1880] Speed: 193.803859 samples/sec accuracy=4.703125 loss=5.027425 lr=0.003716 Epoch[007] Batch [0499]/[1880] Speed: 181.171663 samples/sec accuracy=4.734375 loss=5.019059 lr=0.003726 Epoch[007] Batch [0549]/[1880] Speed: 171.323449 samples/sec accuracy=4.742898 loss=5.016937 lr=0.003736 Epoch[007] 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accuracy=4.845238 loss=4.989527 lr=0.003836 Epoch[007] Batch [1099]/[1880] Speed: 191.360440 samples/sec accuracy=4.869318 loss=4.985937 lr=0.003846 Epoch[007] Batch [1149]/[1880] Speed: 178.338149 samples/sec accuracy=4.877717 loss=4.983528 lr=0.003856 Epoch[007] Batch [1199]/[1880] Speed: 178.332617 samples/sec accuracy=4.909505 loss=4.979358 lr=0.003866 Epoch[007] Batch [1249]/[1880] Speed: 196.486478 samples/sec accuracy=4.940625 loss=4.977018 lr=0.003876 Epoch[007] Batch [1299]/[1880] Speed: 183.692172 samples/sec accuracy=4.962740 loss=4.973630 lr=0.003886 Epoch[007] Batch [1349]/[1880] Speed: 169.322456 samples/sec accuracy=4.968750 loss=4.971497 lr=0.003895 Epoch[007] Batch [1399]/[1880] Speed: 193.081727 samples/sec accuracy=4.987723 loss=4.969615 lr=0.003905 Epoch[007] Batch [1449]/[1880] Speed: 179.563105 samples/sec accuracy=5.038254 loss=4.967584 lr=0.003915 Epoch[007] Batch [1499]/[1880] Speed: 186.301477 samples/sec accuracy=5.066667 loss=4.965978 lr=0.003925 Epoch[007] Batch [1549]/[1880] Speed: 190.322272 samples/sec accuracy=5.069556 loss=4.965271 lr=0.003935 Epoch[007] Batch [1599]/[1880] Speed: 167.867295 samples/sec accuracy=5.095703 loss=4.962387 lr=0.003945 Epoch[007] Batch [1649]/[1880] Speed: 203.424979 samples/sec accuracy=5.122633 loss=4.959987 lr=0.003955 Epoch[007] Batch [1699]/[1880] Speed: 173.104101 samples/sec accuracy=5.143842 loss=4.957504 lr=0.003965 Epoch[007] Batch [1749]/[1880] Speed: 180.628740 samples/sec accuracy=5.171875 loss=4.954512 lr=0.003975 Epoch[007] Batch [1799]/[1880] Speed: 187.575660 samples/sec accuracy=5.205295 loss=4.951684 lr=0.003985 Epoch[007] Batch [1849]/[1880] Speed: 181.416810 samples/sec accuracy=5.214527 loss=4.950015 lr=0.003995 Batch [0049]/[0151]: acc-top1=3.078125 acc-top5=11.515625 Batch [0099]/[0151]: acc-top1=4.656250 acc-top5=15.312500 Batch [0149]/[0151]: acc-top1=4.744792 acc-top5=16.026042 [Epoch 007] training: accuracy=5.230635 loss=4.948583 [Epoch 007] speed: 182 samples/sec time cost: 1434.149469 [Epoch 007] validation: acc-top1=4.765108 acc-top5=16.007864 loss=4.978508 Epoch[008] Batch [0049]/[1880] Speed: 127.001847 samples/sec accuracy=6.656250 loss=4.847928 lr=0.004011 Epoch[008] Batch [0099]/[1880] Speed: 197.394147 samples/sec accuracy=6.703125 loss=4.839477 lr=0.004021 Epoch[008] Batch [0149]/[1880] Speed: 193.472333 samples/sec accuracy=6.406250 loss=4.840328 lr=0.004031 Epoch[008] Batch [0199]/[1880] Speed: 176.558802 samples/sec accuracy=6.527344 loss=4.826034 lr=0.004041 Epoch[008] Batch [0249]/[1880] Speed: 176.178017 samples/sec accuracy=6.459375 loss=4.825836 lr=0.004051 Epoch[008] Batch [0299]/[1880] Speed: 195.295894 samples/sec accuracy=6.481771 loss=4.819956 lr=0.004061 Epoch[008] Batch [0349]/[1880] Speed: 161.283113 samples/sec accuracy=6.444196 loss=4.821315 lr=0.004071 Epoch[008] Batch [0399]/[1880] Speed: 197.992617 samples/sec accuracy=6.386719 loss=4.822597 lr=0.004081 Epoch[008] Batch [0449]/[1880] Speed: 195.432120 samples/sec accuracy=6.447917 loss=4.819069 lr=0.004091 Epoch[008] Batch [0499]/[1880] Speed: 169.067889 samples/sec accuracy=6.470313 loss=4.818531 lr=0.004101 Epoch[008] Batch [0549]/[1880] Speed: 189.204857 samples/sec accuracy=6.495739 loss=4.816440 lr=0.004111 Epoch[008] Batch [0599]/[1880] Speed: 186.864278 samples/sec accuracy=6.488281 loss=4.815699 lr=0.004121 Epoch[008] Batch [0649]/[1880] Speed: 176.673580 samples/sec accuracy=6.491587 loss=4.813858 lr=0.004131 Epoch[008] Batch [0699]/[1880] Speed: 189.224163 samples/sec accuracy=6.502232 loss=4.814079 lr=0.004141 Epoch[008] Batch [0749]/[1880] Speed: 179.431782 samples/sec accuracy=6.534375 loss=4.812721 lr=0.004151 Epoch[008] Batch [0799]/[1880] Speed: 187.242254 samples/sec accuracy=6.548828 loss=4.810883 lr=0.004161 Epoch[008] Batch [0849]/[1880] Speed: 177.002596 samples/sec accuracy=6.556066 loss=4.808321 lr=0.004171 Epoch[008] Batch [0899]/[1880] Speed: 192.160703 samples/sec accuracy=6.585069 loss=4.804975 lr=0.004181 Epoch[008] Batch [0949]/[1880] Speed: 168.020537 samples/sec accuracy=6.604441 loss=4.801692 lr=0.004191 Epoch[008] Batch [0999]/[1880] Speed: 206.155942 samples/sec accuracy=6.625781 loss=4.798230 lr=0.004201 Epoch[008] Batch [1049]/[1880] Speed: 167.816748 samples/sec accuracy=6.663690 loss=4.795601 lr=0.004211 Epoch[008] Batch [1099]/[1880] Speed: 184.381448 samples/sec accuracy=6.713068 loss=4.791942 lr=0.004221 Epoch[008] Batch [1149]/[1880] Speed: 184.417673 samples/sec accuracy=6.758832 loss=4.788472 lr=0.004231 Epoch[008] Batch [1199]/[1880] Speed: 182.990128 samples/sec accuracy=6.774089 loss=4.787071 lr=0.004241 Epoch[008] Batch [1249]/[1880] Speed: 193.602072 samples/sec accuracy=6.813750 loss=4.785276 lr=0.004251 Epoch[008] Batch [1299]/[1880] Speed: 173.866890 samples/sec accuracy=6.813101 loss=4.784889 lr=0.004261 Epoch[008] Batch [1349]/[1880] Speed: 188.532397 samples/sec accuracy=6.822917 loss=4.783841 lr=0.004271 Epoch[008] Batch [1399]/[1880] Speed: 185.514863 samples/sec accuracy=6.848772 loss=4.781695 lr=0.004281 Epoch[008] Batch [1449]/[1880] Speed: 182.915631 samples/sec accuracy=6.866918 loss=4.780331 lr=0.004291 Epoch[008] Batch [1499]/[1880] Speed: 178.581333 samples/sec accuracy=6.880729 loss=4.778312 lr=0.004301 Epoch[008] Batch [1549]/[1880] Speed: 180.358582 samples/sec accuracy=6.899194 loss=4.775915 lr=0.004311 Epoch[008] Batch [1599]/[1880] Speed: 199.857539 samples/sec accuracy=6.939941 loss=4.774498 lr=0.004321 Epoch[008] Batch [1649]/[1880] Speed: 163.101731 samples/sec accuracy=6.960227 loss=4.773183 lr=0.004331 Epoch[008] Batch [1699]/[1880] Speed: 195.866317 samples/sec accuracy=6.982077 loss=4.771635 lr=0.004341 Epoch[008] Batch [1749]/[1880] Speed: 189.423416 samples/sec accuracy=6.992857 loss=4.770157 lr=0.004351 Epoch[008] Batch [1799]/[1880] Speed: 178.810238 samples/sec accuracy=7.020833 loss=4.768784 lr=0.004361 Epoch[008] Batch [1849]/[1880] Speed: 174.229346 samples/sec accuracy=7.025760 loss=4.767815 lr=0.004370 Batch [0049]/[0151]: acc-top1=5.531250 acc-top5=16.421875 Batch [0099]/[0151]: acc-top1=7.187500 acc-top5=19.812500 Batch [0149]/[0151]: acc-top1=6.359375 acc-top5=19.489583 [Epoch 008] training: accuracy=7.031666 loss=4.766894 [Epoch 008] speed: 182 samples/sec time cost: 1438.057145 [Epoch 008] validation: acc-top1=6.327608 acc-top5=19.443295 loss=4.805480 Epoch[009] Batch [0049]/[1880] Speed: 133.594974 samples/sec accuracy=8.109375 loss=4.678725 lr=0.004386 Epoch[009] Batch [0099]/[1880] Speed: 184.352661 samples/sec accuracy=8.210938 loss=4.682622 lr=0.004396 Epoch[009] Batch [0149]/[1880] Speed: 179.947178 samples/sec accuracy=8.192708 loss=4.677528 lr=0.004406 Epoch[009] Batch [0199]/[1880] Speed: 194.393879 samples/sec accuracy=8.066406 loss=4.670573 lr=0.004416 Epoch[009] Batch [0249]/[1880] Speed: 178.565858 samples/sec accuracy=7.962500 loss=4.675948 lr=0.004426 Epoch[009] Batch [0299]/[1880] Speed: 175.984063 samples/sec accuracy=7.950521 loss=4.672663 lr=0.004436 Epoch[009] Batch [0349]/[1880] Speed: 198.532480 samples/sec accuracy=8.008929 loss=4.663960 lr=0.004446 Epoch[009] Batch [0399]/[1880] Speed: 183.109972 samples/sec accuracy=8.050781 loss=4.662161 lr=0.004456 Epoch[009] Batch [0449]/[1880] Speed: 173.847936 samples/sec accuracy=8.121528 loss=4.654236 lr=0.004466 Epoch[009] Batch [0499]/[1880] Speed: 188.088893 samples/sec accuracy=8.100000 loss=4.654753 lr=0.004476 Epoch[009] Batch [0549]/[1880] Speed: 171.714100 samples/sec accuracy=8.109375 loss=4.654863 lr=0.004486 Epoch[009] Batch [0599]/[1880] Speed: 195.269652 samples/sec accuracy=8.109375 loss=4.654290 lr=0.004496 Epoch[009] Batch [0649]/[1880] Speed: 183.937648 samples/sec accuracy=8.156250 loss=4.653311 lr=0.004506 Epoch[009] Batch [0699]/[1880] Speed: 180.270557 samples/sec accuracy=8.148438 loss=4.652010 lr=0.004516 Epoch[009] Batch [0749]/[1880] Speed: 196.693483 samples/sec accuracy=8.169792 loss=4.650535 lr=0.004526 Epoch[009] Batch [0799]/[1880] Speed: 177.665895 samples/sec accuracy=8.234375 loss=4.646100 lr=0.004536 Epoch[009] Batch [0849]/[1880] Speed: 186.262262 samples/sec accuracy=8.232537 loss=4.645179 lr=0.004546 Epoch[009] Batch [0899]/[1880] Speed: 182.456146 samples/sec accuracy=8.237847 loss=4.642647 lr=0.004556 Epoch[009] Batch [0949]/[1880] Speed: 175.304056 samples/sec accuracy=8.265625 loss=4.642058 lr=0.004566 Epoch[009] Batch [0999]/[1880] Speed: 194.590726 samples/sec accuracy=8.271875 loss=4.639776 lr=0.004576 Epoch[009] Batch [1049]/[1880] Speed: 182.288532 samples/sec accuracy=8.310268 loss=4.638861 lr=0.004586 Epoch[009] Batch [1099]/[1880] Speed: 182.604812 samples/sec accuracy=8.328125 loss=4.635882 lr=0.004596 Epoch[009] Batch [1149]/[1880] Speed: 181.989634 samples/sec accuracy=8.368886 loss=4.633916 lr=0.004606 Epoch[009] Batch [1199]/[1880] Speed: 175.764604 samples/sec accuracy=8.396484 loss=4.631296 lr=0.004616 Epoch[009] Batch [1249]/[1880] Speed: 189.969515 samples/sec accuracy=8.423750 loss=4.628070 lr=0.004626 Epoch[009] Batch [1299]/[1880] Speed: 177.031405 samples/sec accuracy=8.456130 loss=4.625386 lr=0.004636 Epoch[009] Batch [1349]/[1880] Speed: 193.957685 samples/sec accuracy=8.465856 loss=4.622872 lr=0.004646 Epoch[009] Batch [1399]/[1880] Speed: 180.886245 samples/sec accuracy=8.498884 loss=4.620902 lr=0.004656 Epoch[009] Batch [1449]/[1880] Speed: 177.645640 samples/sec accuracy=8.515086 loss=4.617936 lr=0.004666 Epoch[009] Batch [1499]/[1880] Speed: 200.300744 samples/sec accuracy=8.521875 loss=4.615931 lr=0.004676 Epoch[009] Batch [1549]/[1880] Speed: 168.710886 samples/sec accuracy=8.531754 loss=4.613934 lr=0.004686 Epoch[009] Batch [1599]/[1880] Speed: 183.969934 samples/sec accuracy=8.549316 loss=4.611881 lr=0.004696 Epoch[009] Batch [1649]/[1880] Speed: 197.897203 samples/sec accuracy=8.553504 loss=4.611349 lr=0.004706 Epoch[009] Batch [1699]/[1880] Speed: 165.379662 samples/sec accuracy=8.581801 loss=4.608424 lr=0.004716 Epoch[009] Batch [1749]/[1880] Speed: 187.479922 samples/sec accuracy=8.594643 loss=4.607007 lr=0.004726 Epoch[009] Batch [1799]/[1880] Speed: 199.867390 samples/sec accuracy=8.610677 loss=4.605153 lr=0.004736 Epoch[009] Batch [1849]/[1880] Speed: 169.056700 samples/sec accuracy=8.633446 loss=4.603530 lr=0.004746 Batch [0049]/[0151]: acc-top1=6.312500 acc-top5=20.234375 Batch [0099]/[0151]: acc-top1=8.257812 acc-top5=23.265625 Batch [0149]/[0151]: acc-top1=7.833333 acc-top5=22.947917 [Epoch 009] training: accuracy=8.639461 loss=4.602776 [Epoch 009] speed: 182 samples/sec time cost: 1433.954679 [Epoch 009] validation: acc-top1=7.859065 acc-top5=22.920116 loss=4.665106 Epoch[010] Batch [0049]/[1880] Speed: 130.812527 samples/sec accuracy=9.671875 loss=4.501360 lr=0.004762 Epoch[010] Batch [0099]/[1880] Speed: 195.655089 samples/sec accuracy=9.656250 loss=4.501244 lr=0.004772 Epoch[010] Batch [0149]/[1880] Speed: 194.405498 samples/sec accuracy=9.791667 loss=4.496525 lr=0.004782 Epoch[010] Batch [0199]/[1880] Speed: 173.138728 samples/sec accuracy=9.718750 loss=4.507245 lr=0.004792 Epoch[010] Batch [0249]/[1880] Speed: 195.884308 samples/sec accuracy=9.696875 loss=4.505611 lr=0.004802 Epoch[010] Batch [0299]/[1880] Speed: 183.256597 samples/sec accuracy=9.768229 loss=4.509590 lr=0.004812 Epoch[010] Batch [0349]/[1880] Speed: 180.662890 samples/sec accuracy=9.732143 loss=4.510230 lr=0.004822 Epoch[010] Batch [0399]/[1880] Speed: 195.542891 samples/sec accuracy=9.718750 loss=4.506492 lr=0.004832 Epoch[010] Batch [0449]/[1880] Speed: 167.890815 samples/sec accuracy=9.763889 loss=4.505274 lr=0.004841 Epoch[010] Batch [0499]/[1880] Speed: 203.301169 samples/sec accuracy=9.800000 loss=4.502314 lr=0.004851 Epoch[010] Batch [0549]/[1880] Speed: 170.293463 samples/sec accuracy=9.822443 loss=4.501961 lr=0.004861 Epoch[010] Batch [0599]/[1880] Speed: 200.380945 samples/sec accuracy=9.904948 loss=4.495750 lr=0.004871 Epoch[010] Batch [0649]/[1880] Speed: 176.968413 samples/sec accuracy=9.897837 loss=4.491597 lr=0.004881 Epoch[010] Batch [0699]/[1880] Speed: 193.980534 samples/sec accuracy=9.905134 loss=4.490994 lr=0.004891 Epoch[010] Batch [0749]/[1880] Speed: 175.957950 samples/sec accuracy=9.903125 loss=4.488741 lr=0.004901 Epoch[010] Batch [0799]/[1880] Speed: 185.483758 samples/sec accuracy=9.958984 loss=4.484389 lr=0.004911 Epoch[010] Batch [0849]/[1880] Speed: 196.843425 samples/sec accuracy=10.005515 loss=4.480783 lr=0.004921 Epoch[010] Batch [0899]/[1880] Speed: 174.819801 samples/sec accuracy=10.045139 loss=4.479057 lr=0.004931 Epoch[010] Batch [0949]/[1880] Speed: 186.724462 samples/sec accuracy=10.087993 loss=4.476659 lr=0.004941 Epoch[010] Batch [0999]/[1880] Speed: 179.360513 samples/sec accuracy=10.113281 loss=4.475009 lr=0.004951 Epoch[010] Batch [1049]/[1880] Speed: 189.657302 samples/sec accuracy=10.145089 loss=4.472586 lr=0.004961 Epoch[010] Batch [1099]/[1880] Speed: 204.108623 samples/sec accuracy=10.150568 loss=4.469329 lr=0.004971 Epoch[010] Batch [1149]/[1880] Speed: 169.339165 samples/sec accuracy=10.182745 loss=4.466470 lr=0.004981 Epoch[010] Batch [1199]/[1880] Speed: 186.782076 samples/sec accuracy=10.199870 loss=4.466473 lr=0.004991 Epoch[010] Batch [1249]/[1880] Speed: 191.862726 samples/sec accuracy=10.197500 loss=4.464170 lr=0.005001 Epoch[010] Batch [1299]/[1880] Speed: 175.906374 samples/sec accuracy=10.202524 loss=4.463180 lr=0.005011 Epoch[010] Batch [1349]/[1880] Speed: 183.650050 samples/sec accuracy=10.223958 loss=4.461211 lr=0.005021 Epoch[010] Batch [1399]/[1880] Speed: 190.022691 samples/sec accuracy=10.246094 loss=4.460301 lr=0.005031 Epoch[010] Batch [1449]/[1880] Speed: 175.824601 samples/sec accuracy=10.250539 loss=4.459058 lr=0.005041 Epoch[010] Batch [1499]/[1880] Speed: 190.259110 samples/sec accuracy=10.281771 loss=4.457857 lr=0.005051 Epoch[010] Batch [1549]/[1880] Speed: 174.526151 samples/sec accuracy=10.284274 loss=4.457817 lr=0.005061 Epoch[010] Batch [1599]/[1880] Speed: 198.059408 samples/sec accuracy=10.310059 loss=4.454960 lr=0.005071 Epoch[010] Batch [1649]/[1880] Speed: 188.086086 samples/sec accuracy=10.350379 loss=4.452682 lr=0.005081 Epoch[010] Batch [1699]/[1880] Speed: 176.018058 samples/sec accuracy=10.367188 loss=4.451122 lr=0.005091 Epoch[010] Batch [1749]/[1880] Speed: 188.698674 samples/sec accuracy=10.396875 loss=4.448414 lr=0.005101 Epoch[010] Batch [1799]/[1880] Speed: 174.790394 samples/sec accuracy=10.417535 loss=4.447739 lr=0.005111 Epoch[010] Batch [1849]/[1880] Speed: 196.126649 samples/sec accuracy=10.443834 loss=4.445315 lr=0.005121 Batch [0049]/[0151]: acc-top1=8.375000 acc-top5=24.281250 Batch [0099]/[0151]: acc-top1=11.226562 acc-top5=28.625000 Batch [0149]/[0151]: acc-top1=10.750000 acc-top5=29.005208 [Epoch 010] training: accuracy=10.461270 loss=4.443696 [Epoch 010] speed: 183 samples/sec time cost: 1424.702768 [Epoch 010] validation: acc-top1=10.725373 acc-top5=28.942467 loss=4.371145 Epoch[011] Batch [0049]/[1879] Speed: 134.703634 samples/sec accuracy=11.296875 loss=4.377466 lr=0.005137 Epoch[011] Batch [0099]/[1879] Speed: 183.719306 samples/sec accuracy=11.984375 loss=4.361652 lr=0.005147 Epoch[011] Batch [0149]/[1879] Speed: 184.196744 samples/sec accuracy=11.614583 loss=4.352211 lr=0.005157 Epoch[011] Batch [0199]/[1879] Speed: 187.147284 samples/sec accuracy=11.519531 loss=4.343288 lr=0.005167 Epoch[011] Batch [0249]/[1879] Speed: 181.940866 samples/sec accuracy=11.525000 loss=4.346544 lr=0.005177 Epoch[011] Batch [0299]/[1879] Speed: 188.372766 samples/sec accuracy=11.664062 loss=4.341721 lr=0.005187 Epoch[011] Batch [0349]/[1879] Speed: 195.618685 samples/sec accuracy=11.551339 loss=4.342928 lr=0.005197 Epoch[011] Batch [0399]/[1879] Speed: 165.910578 samples/sec accuracy=11.486328 loss=4.347723 lr=0.005207 Epoch[011] Batch [0449]/[1879] Speed: 187.437947 samples/sec accuracy=11.505208 loss=4.344507 lr=0.005217 Epoch[011] Batch [0499]/[1879] Speed: 199.267209 samples/sec accuracy=11.573438 loss=4.343426 lr=0.005227 Epoch[011] Batch [0549]/[1879] Speed: 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loss=4.326939 lr=0.005326 Epoch[011] Batch [1049]/[1879] Speed: 173.351848 samples/sec accuracy=11.831845 loss=4.325435 lr=0.005336 Epoch[011] Batch [1099]/[1879] Speed: 192.986031 samples/sec accuracy=11.876420 loss=4.322235 lr=0.005346 Epoch[011] Batch [1149]/[1879] Speed: 185.123819 samples/sec accuracy=11.934783 loss=4.320119 lr=0.005356 Epoch[011] Batch [1199]/[1879] Speed: 176.831871 samples/sec accuracy=11.967448 loss=4.319837 lr=0.005366 Epoch[011] Batch [1249]/[1879] Speed: 199.444433 samples/sec accuracy=11.962500 loss=4.319542 lr=0.005376 Epoch[011] Batch [1299]/[1879] Speed: 164.759423 samples/sec accuracy=11.960938 loss=4.318618 lr=0.005386 Epoch[011] Batch [1349]/[1879] Speed: 201.192437 samples/sec accuracy=11.991898 loss=4.316053 lr=0.005396 Epoch[011] Batch [1399]/[1879] Speed: 177.277962 samples/sec accuracy=11.977121 loss=4.316973 lr=0.005406 Epoch[011] Batch [1449]/[1879] Speed: 182.734900 samples/sec accuracy=11.989224 loss=4.314811 lr=0.005416 Epoch[011] Batch [1499]/[1879] Speed: 198.421246 samples/sec accuracy=12.036458 loss=4.312401 lr=0.005426 Epoch[011] Batch [1549]/[1879] Speed: 179.840362 samples/sec accuracy=12.029738 loss=4.311535 lr=0.005436 Epoch[011] Batch [1599]/[1879] Speed: 166.715362 samples/sec accuracy=12.073730 loss=4.309898 lr=0.005446 Epoch[011] Batch [1649]/[1879] Speed: 204.283985 samples/sec accuracy=12.094697 loss=4.309080 lr=0.005456 Epoch[011] Batch [1699]/[1879] Speed: 175.051393 samples/sec accuracy=12.130055 loss=4.307146 lr=0.005466 Epoch[011] Batch [1749]/[1879] Speed: 191.040606 samples/sec accuracy=12.157589 loss=4.304832 lr=0.005476 Epoch[011] Batch [1799]/[1879] Speed: 181.127281 samples/sec accuracy=12.172309 loss=4.303845 lr=0.005486 Epoch[011] Batch [1849]/[1879] Speed: 186.029105 samples/sec accuracy=12.172720 loss=4.303414 lr=0.005496 Batch [0049]/[0151]: acc-top1=10.468750 acc-top5=28.828125 Batch [0099]/[0151]: acc-top1=12.273438 acc-top5=30.765625 Batch [0149]/[0151]: acc-top1=12.046875 acc-top5=31.229167 [Epoch 011] training: accuracy=12.194402 loss=4.301996 [Epoch 011] speed: 183 samples/sec time cost: 1426.617644 [Epoch 011] validation: acc-top1=12.034354 acc-top5=31.208609 loss=4.275014 Epoch[012] Batch [0049]/[1880] Speed: 134.203369 samples/sec accuracy=13.656250 loss=4.190672 lr=0.005512 Epoch[012] Batch [0099]/[1880] Speed: 186.495311 samples/sec accuracy=13.640625 loss=4.177137 lr=0.005522 Epoch[012] Batch [0149]/[1880] Speed: 193.883475 samples/sec accuracy=13.291667 loss=4.195902 lr=0.005532 Epoch[012] Batch [0199]/[1880] Speed: 170.903749 samples/sec accuracy=13.074219 loss=4.213919 lr=0.005542 Epoch[012] Batch [0249]/[1880] Speed: 198.120526 samples/sec accuracy=13.131250 loss=4.216562 lr=0.005552 Epoch[012] Batch [0299]/[1880] Speed: 170.966007 samples/sec accuracy=13.286458 loss=4.206086 lr=0.005562 Epoch[012] Batch [0349]/[1880] Speed: 178.361751 samples/sec accuracy=13.236607 loss=4.209099 lr=0.005572 Epoch[012] Batch [0399]/[1880] Speed: 196.807500 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lr=0.005672 Epoch[012] Batch [0899]/[1880] Speed: 190.221772 samples/sec accuracy=13.480903 loss=4.195109 lr=0.005682 Epoch[012] Batch [0949]/[1880] Speed: 172.057252 samples/sec accuracy=13.498355 loss=4.192490 lr=0.005691 Epoch[012] Batch [0999]/[1880] Speed: 198.568780 samples/sec accuracy=13.460156 loss=4.193078 lr=0.005701 Epoch[012] Batch [1049]/[1880] Speed: 184.656229 samples/sec accuracy=13.470982 loss=4.192974 lr=0.005711 Epoch[012] Batch [1099]/[1880] Speed: 184.924905 samples/sec accuracy=13.492898 loss=4.190707 lr=0.005721 Epoch[012] Batch [1149]/[1880] Speed: 180.228651 samples/sec accuracy=13.499321 loss=4.189153 lr=0.005731 Epoch[012] Batch [1199]/[1880] Speed: 196.042302 samples/sec accuracy=13.544922 loss=4.185872 lr=0.005741 Epoch[012] Batch [1249]/[1880] Speed: 177.683560 samples/sec accuracy=13.577500 loss=4.183754 lr=0.005751 Epoch[012] Batch [1299]/[1880] Speed: 181.437506 samples/sec accuracy=13.596154 loss=4.181347 lr=0.005761 Epoch[012] Batch [1349]/[1880] Speed: 196.532955 samples/sec accuracy=13.622685 loss=4.179233 lr=0.005771 Epoch[012] Batch [1399]/[1880] Speed: 179.252442 samples/sec accuracy=13.631138 loss=4.178014 lr=0.005781 Epoch[012] Batch [1449]/[1880] Speed: 183.476759 samples/sec accuracy=13.629310 loss=4.177824 lr=0.005791 Epoch[012] Batch [1499]/[1880] Speed: 194.001534 samples/sec accuracy=13.669792 loss=4.175533 lr=0.005801 Epoch[012] Batch [1549]/[1880] Speed: 176.350868 samples/sec accuracy=13.689012 loss=4.173199 lr=0.005811 Epoch[012] Batch [1599]/[1880] Speed: 182.309475 samples/sec accuracy=13.704590 loss=4.171845 lr=0.005821 Epoch[012] Batch [1649]/[1880] Speed: 202.416665 samples/sec accuracy=13.741004 loss=4.169963 lr=0.005831 Epoch[012] Batch [1699]/[1880] Speed: 182.280803 samples/sec accuracy=13.758732 loss=4.170143 lr=0.005841 Epoch[012] Batch [1749]/[1880] Speed: 187.308194 samples/sec accuracy=13.759375 loss=4.169330 lr=0.005851 Epoch[012] Batch [1799]/[1880] Speed: 172.802650 samples/sec accuracy=13.794271 loss=4.167330 lr=0.005861 Epoch[012] Batch [1849]/[1880] Speed: 190.177776 samples/sec accuracy=13.796875 loss=4.166998 lr=0.005871 Batch [0049]/[0151]: acc-top1=10.078125 acc-top5=29.218750 Batch [0099]/[0151]: acc-top1=13.671875 acc-top5=33.671875 Batch [0149]/[0151]: acc-top1=13.609375 acc-top5=34.375000 [Epoch 012] training: accuracy=13.804023 loss=4.167193 [Epoch 012] speed: 183 samples/sec time cost: 1424.110193 [Epoch 012] validation: acc-top1=13.700331 acc-top5=34.364652 loss=4.149439 Epoch[013] Batch [0049]/[1880] Speed: 130.501274 samples/sec accuracy=14.968750 loss=4.062014 lr=0.005887 Epoch[013] Batch [0099]/[1880] Speed: 197.763055 samples/sec accuracy=15.343750 loss=4.059343 lr=0.005897 Epoch[013] Batch [0149]/[1880] Speed: 179.402321 samples/sec accuracy=15.192708 loss=4.061784 lr=0.005907 Epoch[013] Batch [0199]/[1880] Speed: 183.783249 samples/sec accuracy=15.109375 loss=4.067018 lr=0.005917 Epoch[013] Batch [0249]/[1880] Speed: 184.560897 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lr=0.006017 Epoch[013] Batch [0749]/[1880] Speed: 174.039016 samples/sec accuracy=15.032292 loss=4.071132 lr=0.006027 Epoch[013] Batch [0799]/[1880] Speed: 191.989362 samples/sec accuracy=15.046875 loss=4.070149 lr=0.006037 Epoch[013] Batch [0849]/[1880] Speed: 182.222193 samples/sec accuracy=15.136949 loss=4.067179 lr=0.006047 Epoch[013] Batch [0899]/[1880] Speed: 184.613175 samples/sec accuracy=15.188368 loss=4.064862 lr=0.006057 Epoch[013] Batch [0949]/[1880] Speed: 185.965181 samples/sec accuracy=15.190789 loss=4.065702 lr=0.006067 Epoch[013] Batch [0999]/[1880] Speed: 181.917129 samples/sec accuracy=15.168750 loss=4.066256 lr=0.006077 Epoch[013] Batch [1049]/[1880] Speed: 178.125345 samples/sec accuracy=15.171131 loss=4.067067 lr=0.006087 Epoch[013] Batch [1099]/[1880] Speed: 195.576956 samples/sec accuracy=15.229403 loss=4.064932 lr=0.006097 Epoch[013] Batch [1149]/[1880] Speed: 186.232736 samples/sec accuracy=15.273777 loss=4.064359 lr=0.006107 Epoch[013] Batch [1199]/[1880] Speed: 180.547722 samples/sec accuracy=15.282552 loss=4.062794 lr=0.006117 Epoch[013] Batch [1249]/[1880] Speed: 192.522798 samples/sec accuracy=15.325625 loss=4.060537 lr=0.006127 Epoch[013] Batch [1299]/[1880] Speed: 173.327627 samples/sec accuracy=15.331130 loss=4.060005 lr=0.006137 Epoch[013] Batch [1349]/[1880] Speed: 190.869453 samples/sec accuracy=15.349537 loss=4.058924 lr=0.006147 Epoch[013] Batch [1399]/[1880] Speed: 187.511887 samples/sec accuracy=15.355469 loss=4.059358 lr=0.006157 Epoch[013] Batch [1449]/[1880] Speed: 172.712567 samples/sec accuracy=15.355603 loss=4.058461 lr=0.006166 Epoch[013] Batch [1499]/[1880] Speed: 193.338627 samples/sec accuracy=15.390104 loss=4.057358 lr=0.006176 Epoch[013] Batch [1549]/[1880] Speed: 179.895258 samples/sec accuracy=15.422379 loss=4.055482 lr=0.006186 Epoch[013] Batch [1599]/[1880] Speed: 199.863865 samples/sec accuracy=15.432129 loss=4.055359 lr=0.006196 Epoch[013] Batch [1649]/[1880] Speed: 174.520608 samples/sec accuracy=15.448864 loss=4.053539 lr=0.006206 Epoch[013] Batch [1699]/[1880] Speed: 190.099789 samples/sec accuracy=15.468290 loss=4.051965 lr=0.006216 Epoch[013] Batch [1749]/[1880] Speed: 187.303152 samples/sec accuracy=15.470982 loss=4.050733 lr=0.006226 Epoch[013] Batch [1799]/[1880] Speed: 181.236882 samples/sec accuracy=15.486979 loss=4.049593 lr=0.006236 Epoch[013] Batch [1849]/[1880] Speed: 188.685624 samples/sec accuracy=15.488598 loss=4.049104 lr=0.006246 Batch [0049]/[0151]: acc-top1=13.953125 acc-top5=33.671875 Batch [0099]/[0151]: acc-top1=16.039062 acc-top5=37.000000 Batch [0149]/[0151]: acc-top1=15.791667 acc-top5=37.828125 [Epoch 013] training: accuracy=15.492021 loss=4.048108 [Epoch 013] speed: 183 samples/sec time cost: 1426.318520 [Epoch 013] validation: acc-top1=15.795737 acc-top5=37.800083 loss=4.006591 Epoch[014] Batch [0049]/[1880] Speed: 136.114908 samples/sec accuracy=16.515625 loss=3.970697 lr=0.006262 Epoch[014] Batch [0099]/[1880] Speed: 191.198752 samples/sec accuracy=16.101562 loss=3.995024 lr=0.006272 Epoch[014] Batch [0149]/[1880] Speed: 184.790095 samples/sec accuracy=16.604167 loss=3.977498 lr=0.006282 Epoch[014] Batch [0199]/[1880] Speed: 182.117439 samples/sec accuracy=16.410156 loss=3.982286 lr=0.006292 Epoch[014] Batch [0249]/[1880] Speed: 175.967094 samples/sec accuracy=16.368750 loss=3.985871 lr=0.006302 Epoch[014] Batch [0299]/[1880] Speed: 193.670941 samples/sec accuracy=16.354167 loss=3.986388 lr=0.006312 Epoch[014] Batch [0349]/[1880] Speed: 177.871623 samples/sec accuracy=16.354911 loss=3.984327 lr=0.006322 Epoch[014] Batch [0399]/[1880] Speed: 196.362142 samples/sec accuracy=16.380859 loss=3.980458 lr=0.006332 Epoch[014] Batch [0449]/[1880] Speed: 187.397571 samples/sec accuracy=16.381944 loss=3.981474 lr=0.006342 Epoch[014] Batch [0499]/[1880] Speed: 177.455294 samples/sec accuracy=16.429688 loss=3.980005 lr=0.006352 Epoch[014] Batch [0549]/[1880] Speed: 193.615335 samples/sec accuracy=16.389205 loss=3.979137 lr=0.006362 Epoch[014] Batch [0599]/[1880] Speed: 175.520328 samples/sec accuracy=16.466146 loss=3.974968 lr=0.006372 Epoch[014] Batch [0649]/[1880] Speed: 191.547648 samples/sec accuracy=16.473558 loss=3.975633 lr=0.006382 Epoch[014] Batch [0699]/[1880] Speed: 185.209232 samples/sec accuracy=16.483259 loss=3.973936 lr=0.006392 Epoch[014] Batch [0749]/[1880] Speed: 177.677015 samples/sec accuracy=16.468750 loss=3.972923 lr=0.006402 Epoch[014] Batch [0799]/[1880] Speed: 177.258270 samples/sec accuracy=16.478516 loss=3.971660 lr=0.006412 Epoch[014] Batch [0849]/[1880] Speed: 196.045888 samples/sec accuracy=16.503676 loss=3.970477 lr=0.006422 Epoch[014] Batch [0899]/[1880] Speed: 175.497498 samples/sec accuracy=16.557292 loss=3.965957 lr=0.006432 Epoch[014] Batch [0949]/[1880] Speed: 190.784208 samples/sec accuracy=16.550164 loss=3.966473 lr=0.006442 Epoch[014] Batch [0999]/[1880] Speed: 182.194593 samples/sec accuracy=16.524219 loss=3.966897 lr=0.006452 Epoch[014] Batch [1049]/[1880] Speed: 188.126103 samples/sec accuracy=16.567708 loss=3.964930 lr=0.006462 Epoch[014] Batch [1099]/[1880] Speed: 188.311973 samples/sec accuracy=16.577415 loss=3.964981 lr=0.006472 Epoch[014] Batch [1149]/[1880] Speed: 175.351404 samples/sec accuracy=16.622962 loss=3.962416 lr=0.006482 Epoch[014] Batch [1199]/[1880] Speed: 185.708486 samples/sec accuracy=16.638672 loss=3.961412 lr=0.006492 Epoch[014] Batch [1249]/[1880] Speed: 187.863233 samples/sec accuracy=16.651875 loss=3.960743 lr=0.006502 Epoch[014] Batch [1299]/[1880] Speed: 197.555353 samples/sec accuracy=16.672476 loss=3.959508 lr=0.006512 Epoch[014] Batch [1349]/[1880] Speed: 165.099918 samples/sec accuracy=16.682292 loss=3.958347 lr=0.006522 Epoch[014] Batch [1399]/[1880] Speed: 202.719785 samples/sec accuracy=16.684152 loss=3.959264 lr=0.006532 Epoch[014] Batch [1449]/[1880] Speed: 178.489187 samples/sec accuracy=16.709052 loss=3.957103 lr=0.006542 Epoch[014] Batch [1499]/[1880] Speed: 176.156917 samples/sec accuracy=16.735938 loss=3.955861 lr=0.006552 Epoch[014] Batch [1549]/[1880] Speed: 202.577314 samples/sec accuracy=16.766129 loss=3.954030 lr=0.006562 Epoch[014] Batch [1599]/[1880] Speed: 176.061317 samples/sec accuracy=16.806152 loss=3.952779 lr=0.006572 Epoch[014] Batch [1649]/[1880] Speed: 176.785229 samples/sec accuracy=16.813447 loss=3.951923 lr=0.006582 Epoch[014] Batch [1699]/[1880] Speed: 205.245956 samples/sec accuracy=16.829044 loss=3.950954 lr=0.006592 Epoch[014] Batch [1749]/[1880] Speed: 166.631688 samples/sec accuracy=16.807589 loss=3.951496 lr=0.006602 Epoch[014] Batch [1799]/[1880] Speed: 202.445417 samples/sec accuracy=16.847656 loss=3.949061 lr=0.006612 Epoch[014] Batch [1849]/[1880] Speed: 192.648495 samples/sec accuracy=16.864865 loss=3.947817 lr=0.006622 Batch [0049]/[0151]: acc-top1=16.265625 acc-top5=37.140625 Batch [0099]/[0151]: acc-top1=17.664062 acc-top5=39.539062 Batch [0149]/[0151]: acc-top1=17.223958 acc-top5=39.729167 [Epoch 014] training: accuracy=16.879571 loss=3.947045 [Epoch 014] speed: 183 samples/sec time cost: 1425.259819 [Epoch 014] validation: acc-top1=17.244412 acc-top5=39.714404 loss=3.932234 Epoch[015] Batch [0049]/[1880] Speed: 135.361085 samples/sec accuracy=18.343750 loss=3.868145 lr=0.006637 Epoch[015] Batch [0099]/[1880] Speed: 199.720090 samples/sec accuracy=18.273438 loss=3.878122 lr=0.006647 Epoch[015] Batch [0149]/[1880] Speed: 174.946737 samples/sec accuracy=18.276042 loss=3.879197 lr=0.006657 Epoch[015] Batch [0199]/[1880] Speed: 181.720559 samples/sec accuracy=18.335938 loss=3.880164 lr=0.006667 Epoch[015] Batch [0249]/[1880] Speed: 199.972991 samples/sec accuracy=18.184375 loss=3.883194 lr=0.006677 Epoch[015] Batch [0299]/[1880] Speed: 181.195266 samples/sec accuracy=18.242188 loss=3.882686 lr=0.006687 Epoch[015] Batch [0349]/[1880] Speed: 189.393251 samples/sec accuracy=18.308036 loss=3.880455 lr=0.006697 Epoch[015] Batch [0399]/[1880] Speed: 172.983747 samples/sec accuracy=18.261719 loss=3.876527 lr=0.006707 Epoch[015] Batch [0449]/[1880] Speed: 183.166822 samples/sec accuracy=18.331597 loss=3.872126 lr=0.006717 Epoch[015] Batch [0499]/[1880] Speed: 196.694940 samples/sec accuracy=18.296875 loss=3.872948 lr=0.006727 Epoch[015] Batch [0549]/[1880] Speed: 192.109795 samples/sec accuracy=18.363636 loss=3.870667 lr=0.006737 Epoch[015] Batch [0599]/[1880] Speed: 168.532266 samples/sec accuracy=18.307292 loss=3.872829 lr=0.006747 Epoch[015] Batch [0649]/[1880] Speed: 202.050785 samples/sec accuracy=18.262019 loss=3.870145 lr=0.006757 Epoch[015] Batch [0699]/[1880] Speed: 182.629934 samples/sec accuracy=18.296875 loss=3.869500 lr=0.006767 Epoch[015] Batch [0749]/[1880] Speed: 170.321523 samples/sec accuracy=18.257292 loss=3.871910 lr=0.006777 Epoch[015] Batch [0799]/[1880] Speed: 208.974760 samples/sec accuracy=18.276367 loss=3.871607 lr=0.006787 Epoch[015] Batch [0849]/[1880] Speed: 171.148278 samples/sec accuracy=18.258272 loss=3.871145 lr=0.006797 Epoch[015] Batch 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accuracy=18.476273 loss=3.853802 lr=0.006897 Epoch[015] Batch [1399]/[1880] Speed: 181.545069 samples/sec accuracy=18.511161 loss=3.851379 lr=0.006907 Epoch[015] Batch [1449]/[1880] Speed: 202.656910 samples/sec accuracy=18.523707 loss=3.849977 lr=0.006917 Epoch[015] Batch [1499]/[1880] Speed: 164.304095 samples/sec accuracy=18.534375 loss=3.849773 lr=0.006927 Epoch[015] Batch [1549]/[1880] Speed: 203.366877 samples/sec accuracy=18.560988 loss=3.847782 lr=0.006937 Epoch[015] Batch [1599]/[1880] Speed: 186.556402 samples/sec accuracy=18.561523 loss=3.846484 lr=0.006947 Epoch[015] Batch [1649]/[1880] Speed: 174.639284 samples/sec accuracy=18.588068 loss=3.845195 lr=0.006957 Epoch[015] Batch [1699]/[1880] Speed: 194.760582 samples/sec accuracy=18.599265 loss=3.844893 lr=0.006967 Epoch[015] Batch [1749]/[1880] Speed: 179.578308 samples/sec accuracy=18.630357 loss=3.843716 lr=0.006977 Epoch[015] Batch [1799]/[1880] Speed: 174.396111 samples/sec accuracy=18.635417 loss=3.843926 lr=0.006987 Epoch[015] Batch [1849]/[1880] Speed: 197.855378 samples/sec accuracy=18.644848 loss=3.843431 lr=0.006997 Batch [0049]/[0151]: acc-top1=14.812500 acc-top5=35.640625 Batch [0099]/[0151]: acc-top1=17.953125 acc-top5=40.125000 Batch [0149]/[0151]: acc-top1=17.432292 acc-top5=40.416667 [Epoch 015] training: accuracy=18.666473 loss=3.842278 [Epoch 015] speed: 184 samples/sec time cost: 1421.675599 [Epoch 015] validation: acc-top1=17.420323 acc-top5=40.412873 loss=3.908426 Epoch[016] Batch [0049]/[1880] Speed: 131.592977 samples/sec accuracy=19.109375 loss=3.791429 lr=0.007013 Epoch[016] Batch [0099]/[1880] Speed: 195.860427 samples/sec accuracy=19.273438 loss=3.777017 lr=0.007023 Epoch[016] Batch [0149]/[1880] Speed: 186.300339 samples/sec accuracy=19.187500 loss=3.782182 lr=0.007033 Epoch[016] Batch [0199]/[1880] Speed: 183.366824 samples/sec accuracy=19.300781 loss=3.781028 lr=0.007043 Epoch[016] Batch [0249]/[1880] Speed: 194.272033 samples/sec accuracy=19.221875 loss=3.787535 lr=0.007053 Epoch[016] Batch [0299]/[1880] Speed: 179.355863 samples/sec accuracy=19.359375 loss=3.782882 lr=0.007063 Epoch[016] Batch [0349]/[1880] Speed: 192.567444 samples/sec accuracy=19.361607 loss=3.778414 lr=0.007073 Epoch[016] Batch [0399]/[1880] Speed: 173.215495 samples/sec accuracy=19.406250 loss=3.775846 lr=0.007083 Epoch[016] Batch [0449]/[1880] Speed: 181.127454 samples/sec accuracy=19.454861 loss=3.773377 lr=0.007093 Epoch[016] Batch [0499]/[1880] Speed: 201.357793 samples/sec accuracy=19.453125 loss=3.774872 lr=0.007103 Epoch[016] Batch [0549]/[1880] Speed: 164.273827 samples/sec accuracy=19.517045 loss=3.773498 lr=0.007112 Epoch[016] Batch [0599]/[1880] Speed: 201.325454 samples/sec accuracy=19.468750 loss=3.774755 lr=0.007122 Epoch[016] Batch [0649]/[1880] Speed: 184.009348 samples/sec accuracy=19.512019 loss=3.775314 lr=0.007132 Epoch[016] Batch [0699]/[1880] Speed: 186.631538 samples/sec accuracy=19.508929 loss=3.774254 lr=0.007142 Epoch[016] Batch [0749]/[1880] Speed: 198.177991 samples/sec accuracy=19.544792 loss=3.773433 lr=0.007152 Epoch[016] Batch [0799]/[1880] Speed: 171.707563 samples/sec accuracy=19.547852 loss=3.772063 lr=0.007162 Epoch[016] Batch [0849]/[1880] Speed: 194.334835 samples/sec accuracy=19.559743 loss=3.769943 lr=0.007172 Epoch[016] Batch [0899]/[1880] Speed: 184.001559 samples/sec accuracy=19.629340 loss=3.766699 lr=0.007182 Epoch[016] Batch [0949]/[1880] Speed: 180.296018 samples/sec accuracy=19.606086 loss=3.766249 lr=0.007192 Epoch[016] Batch [0999]/[1880] Speed: 198.905126 samples/sec accuracy=19.622656 loss=3.765708 lr=0.007202 Epoch[016] Batch [1049]/[1880] Speed: 166.560166 samples/sec accuracy=19.604167 loss=3.767320 lr=0.007212 Epoch[016] Batch [1099]/[1880] Speed: 205.024690 samples/sec accuracy=19.635653 loss=3.765329 lr=0.007222 Epoch[016] Batch [1149]/[1880] Speed: 167.759670 samples/sec accuracy=19.628397 loss=3.764445 lr=0.007232 Epoch[016] Batch [1199]/[1880] Speed: 204.402058 samples/sec accuracy=19.670573 loss=3.761619 lr=0.007242 Epoch[016] Batch [1249]/[1880] Speed: 170.088469 samples/sec accuracy=19.686250 loss=3.761903 lr=0.007252 Epoch[016] Batch [1299]/[1880] Speed: 199.233230 samples/sec accuracy=19.697716 loss=3.761465 lr=0.007262 Epoch[016] Batch [1349]/[1880] Speed: 185.713004 samples/sec accuracy=19.725116 loss=3.759630 lr=0.007272 Epoch[016] Batch [1399]/[1880] Speed: 178.204137 samples/sec accuracy=19.772321 loss=3.757621 lr=0.007282 Epoch[016] Batch [1449]/[1880] Speed: 198.666807 samples/sec accuracy=19.805496 loss=3.756216 lr=0.007292 Epoch[016] Batch [1499]/[1880] Speed: 171.321253 samples/sec accuracy=19.838542 loss=3.755506 lr=0.007302 Epoch[016] Batch [1549]/[1880] Speed: 200.786057 samples/sec accuracy=19.827117 loss=3.755856 lr=0.007312 Epoch[016] Batch [1599]/[1880] Speed: 176.107266 samples/sec accuracy=19.863281 loss=3.754992 lr=0.007322 Epoch[016] Batch [1649]/[1880] Speed: 199.456605 samples/sec accuracy=19.849432 loss=3.754946 lr=0.007332 Epoch[016] Batch [1699]/[1880] Speed: 167.360156 samples/sec accuracy=19.857996 loss=3.753206 lr=0.007342 Epoch[016] Batch [1749]/[1880] Speed: 198.211455 samples/sec accuracy=19.886161 loss=3.752247 lr=0.007352 Epoch[016] Batch [1799]/[1880] Speed: 185.935631 samples/sec accuracy=19.914931 loss=3.751619 lr=0.007362 Epoch[016] Batch [1849]/[1880] Speed: 185.460932 samples/sec accuracy=19.936233 loss=3.751118 lr=0.007372 Batch [0049]/[0151]: acc-top1=17.484375 acc-top5=39.734375 Batch [0099]/[0151]: acc-top1=19.359375 acc-top5=42.171875 Batch [0149]/[0151]: acc-top1=19.395833 acc-top5=43.010417 [Epoch 016] training: accuracy=19.948055 loss=3.750373 [Epoch 016] speed: 184 samples/sec time cost: 1419.457372 [Epoch 016] validation: acc-top1=19.355339 acc-top5=42.922185 loss=3.765145 Epoch[017] Batch [0049]/[1879] Speed: 131.714184 samples/sec accuracy=20.390625 loss=3.719667 lr=0.007388 Epoch[017] Batch [0099]/[1879] Speed: 205.735479 samples/sec accuracy=20.453125 loss=3.729545 lr=0.007398 Epoch[017] Batch [0149]/[1879] Speed: 172.330563 samples/sec accuracy=20.526042 loss=3.719049 lr=0.007408 Epoch[017] Batch [0199]/[1879] Speed: 193.060840 samples/sec accuracy=20.957031 loss=3.702860 lr=0.007418 Epoch[017] Batch [0249]/[1879] Speed: 176.951902 samples/sec accuracy=20.850000 loss=3.695492 lr=0.007428 Epoch[017] Batch [0299]/[1879] Speed: 183.069464 samples/sec accuracy=20.934896 loss=3.693625 lr=0.007438 Epoch[017] Batch [0349]/[1879] Speed: 207.072737 samples/sec accuracy=20.973214 loss=3.688970 lr=0.007448 Epoch[017] Batch [0399]/[1879] Speed: 174.281108 samples/sec accuracy=21.031250 loss=3.687096 lr=0.007458 Epoch[017] Batch [0449]/[1879] Speed: 199.406178 samples/sec accuracy=21.085069 loss=3.685649 lr=0.007468 Epoch[017] Batch [0499]/[1879] Speed: 164.964567 samples/sec accuracy=21.039062 loss=3.684585 lr=0.007478 Epoch[017] Batch [0549]/[1879] Speed: 203.526855 samples/sec accuracy=21.015625 loss=3.685562 lr=0.007488 Epoch[017] Batch [0599]/[1879] Speed: 195.022197 samples/sec accuracy=21.096354 loss=3.681063 lr=0.007498 Epoch[017] Batch [0649]/[1879] Speed: 168.982451 samples/sec accuracy=21.152644 loss=3.679575 lr=0.007508 Epoch[017] Batch [0699]/[1879] Speed: 205.124412 samples/sec accuracy=21.100446 loss=3.679846 lr=0.007518 Epoch[017] Batch [0749]/[1879] Speed: 165.936908 samples/sec accuracy=21.100000 loss=3.682910 lr=0.007528 Epoch[017] Batch [0799]/[1879] Speed: 207.362022 samples/sec accuracy=21.053711 loss=3.683084 lr=0.007538 Epoch[017] Batch [0849]/[1879] Speed: 179.151535 samples/sec accuracy=21.085478 loss=3.682414 lr=0.007548 Epoch[017] Batch [0899]/[1879] Speed: 177.860038 samples/sec accuracy=21.105035 loss=3.679830 lr=0.007558 Epoch[017] Batch [0949]/[1879] Speed: 203.464076 samples/sec accuracy=21.081414 loss=3.679752 lr=0.007568 Epoch[017] Batch [0999]/[1879] Speed: 174.776623 samples/sec accuracy=21.078125 loss=3.679370 lr=0.007578 Epoch[017] Batch [1049]/[1879] Speed: 202.823521 samples/sec accuracy=21.118304 loss=3.677198 lr=0.007587 Epoch[017] Batch [1099]/[1879] Speed: 174.227299 samples/sec accuracy=21.115767 loss=3.675584 lr=0.007597 Epoch[017] Batch [1149]/[1879] Speed: 190.187549 samples/sec accuracy=21.126359 loss=3.675450 lr=0.007607 Epoch[017] Batch [1199]/[1879] Speed: 187.213039 samples/sec accuracy=21.111979 loss=3.675139 lr=0.007617 Epoch[017] Batch [1249]/[1879] Speed: 171.488410 samples/sec accuracy=21.143125 loss=3.672905 lr=0.007627 Epoch[017] Batch [1299]/[1879] Speed: 198.374711 samples/sec accuracy=21.132812 loss=3.672619 lr=0.007637 Epoch[017] Batch [1349]/[1879] Speed: 196.229293 samples/sec accuracy=21.153935 loss=3.671614 lr=0.007647 Epoch[017] Batch [1399]/[1879] Speed: 162.299719 samples/sec accuracy=21.224888 loss=3.669536 lr=0.007657 Epoch[017] Batch [1449]/[1879] Speed: 200.657752 samples/sec accuracy=21.229526 loss=3.669188 lr=0.007667 Epoch[017] Batch [1499]/[1879] Speed: 180.958575 samples/sec accuracy=21.252604 loss=3.667590 lr=0.007677 Epoch[017] Batch [1549]/[1879] Speed: 182.661617 samples/sec accuracy=21.273690 loss=3.666617 lr=0.007687 Epoch[017] Batch [1599]/[1879] Speed: 187.169434 samples/sec accuracy=21.277344 loss=3.666423 lr=0.007697 Epoch[017] Batch [1649]/[1879] Speed: 202.487985 samples/sec accuracy=21.300663 loss=3.665500 lr=0.007707 Epoch[017] Batch [1699]/[1879] Speed: 167.508149 samples/sec accuracy=21.297794 loss=3.665882 lr=0.007717 Epoch[017] Batch [1749]/[1879] Speed: 201.284368 samples/sec accuracy=21.310714 loss=3.664246 lr=0.007727 Epoch[017] Batch [1799]/[1879] Speed: 186.953692 samples/sec accuracy=21.311198 loss=3.664652 lr=0.007737 Epoch[017] Batch [1849]/[1879] Speed: 174.089786 samples/sec accuracy=21.339105 loss=3.662692 lr=0.007747 Batch [0049]/[0151]: acc-top1=20.656250 acc-top5=44.718750 Batch [0099]/[0151]: acc-top1=23.531250 acc-top5=47.585938 Batch [0149]/[0151]: acc-top1=23.052083 acc-top5=48.098958 [Epoch 017] training: accuracy=21.349870 loss=3.662484 [Epoch 017] speed: 184 samples/sec time cost: 1417.719726 [Epoch 017] validation: acc-top1=23.064983 acc-top5=48.044288 loss=3.540544 Epoch[018] Batch [0049]/[1880] Speed: 135.672827 samples/sec accuracy=21.671875 loss=3.594474 lr=0.007763 Epoch[018] Batch [0099]/[1880] Speed: 174.510332 samples/sec accuracy=22.382812 loss=3.573800 lr=0.007773 Epoch[018] Batch [0149]/[1880] Speed: 205.816642 samples/sec accuracy=22.369792 loss=3.572306 lr=0.007783 Epoch[018] Batch [0199]/[1880] Speed: 165.459949 samples/sec accuracy=22.386719 loss=3.570958 lr=0.007793 Epoch[018] Batch [0249]/[1880] Speed: 202.446003 samples/sec accuracy=22.321875 loss=3.577537 lr=0.007803 Epoch[018] Batch [0299]/[1880] Speed: 186.104436 samples/sec accuracy=22.466146 loss=3.577974 lr=0.007813 Epoch[018] Batch [0349]/[1880] Speed: 174.485343 samples/sec accuracy=22.426339 loss=3.580196 lr=0.007823 Epoch[018] Batch [0399]/[1880] Speed: 191.640801 samples/sec accuracy=22.458984 loss=3.577230 lr=0.007833 Epoch[018] Batch [0449]/[1880] Speed: 184.599972 samples/sec accuracy=22.447917 loss=3.578064 lr=0.007843 Epoch[018] Batch [0499]/[1880] Speed: 184.058182 samples/sec accuracy=22.478125 loss=3.578724 lr=0.007853 Epoch[018] Batch [0549]/[1880] Speed: 196.559723 samples/sec accuracy=22.498580 loss=3.579605 lr=0.007863 Epoch[018] Batch [0599]/[1880] Speed: 167.159631 samples/sec accuracy=22.595052 loss=3.577917 lr=0.007873 Epoch[018] Batch [0649]/[1880] Speed: 203.087186 samples/sec accuracy=22.556490 loss=3.582157 lr=0.007883 Epoch[018] Batch [0699]/[1880] Speed: 184.641655 samples/sec accuracy=22.572545 loss=3.580433 lr=0.007893 Epoch[018] Batch [0749]/[1880] Speed: 173.387494 samples/sec accuracy=22.557292 loss=3.579627 lr=0.007903 Epoch[018] Batch [0799]/[1880] Speed: 203.091979 samples/sec accuracy=22.584961 loss=3.578023 lr=0.007913 Epoch[018] Batch [0849]/[1880] Speed: 172.183781 samples/sec accuracy=22.574449 loss=3.578733 lr=0.007923 Epoch[018] Batch [0899]/[1880] Speed: 186.629061 samples/sec accuracy=22.586806 loss=3.579455 lr=0.007933 Epoch[018] Batch [0949]/[1880] Speed: 188.206670 samples/sec accuracy=22.603618 loss=3.578283 lr=0.007943 Epoch[018] Batch [0999]/[1880] Speed: 189.386724 samples/sec accuracy=22.596094 loss=3.578196 lr=0.007953 Epoch[018] Batch [1049]/[1880] Speed: 178.160185 samples/sec accuracy=22.663690 loss=3.575482 lr=0.007963 Epoch[018] Batch [1099]/[1880] Speed: 192.604031 samples/sec accuracy=22.666903 loss=3.574426 lr=0.007972 Epoch[018] Batch [1149]/[1880] Speed: 172.540856 samples/sec accuracy=22.678668 loss=3.573812 lr=0.007982 Epoch[018] Batch [1199]/[1880] Speed: 200.792868 samples/sec accuracy=22.711589 loss=3.573664 lr=0.007992 Epoch[018] Batch [1249]/[1880] Speed: 182.487302 samples/sec accuracy=22.713750 loss=3.573976 lr=0.008002 Epoch[018] Batch [1299]/[1880] Speed: 182.986312 samples/sec accuracy=22.728365 loss=3.573481 lr=0.008012 Epoch[018] Batch [1349]/[1880] Speed: 202.433487 samples/sec accuracy=22.788194 loss=3.571760 lr=0.008022 Epoch[018] Batch [1399]/[1880] Speed: 170.374285 samples/sec accuracy=22.813616 loss=3.571869 lr=0.008032 Epoch[018] Batch [1449]/[1880] Speed: 188.727982 samples/sec accuracy=22.816272 loss=3.570269 lr=0.008042 Epoch[018] Batch [1499]/[1880] Speed: 198.154734 samples/sec accuracy=22.830208 loss=3.569333 lr=0.008052 Epoch[018] Batch [1549]/[1880] Speed: 172.404369 samples/sec accuracy=22.834173 loss=3.568209 lr=0.008062 Epoch[018] Batch [1599]/[1880] Speed: 198.680668 samples/sec accuracy=22.842285 loss=3.568327 lr=0.008072 Epoch[018] Batch [1649]/[1880] Speed: 165.261101 samples/sec accuracy=22.823864 loss=3.568916 lr=0.008082 Epoch[018] Batch [1699]/[1880] Speed: 206.234443 samples/sec accuracy=22.809283 loss=3.568072 lr=0.008092 Epoch[018] Batch [1749]/[1880] Speed: 187.922407 samples/sec accuracy=22.831250 loss=3.567707 lr=0.008102 Epoch[018] Batch [1799]/[1880] Speed: 174.066649 samples/sec accuracy=22.845052 loss=3.567795 lr=0.008112 Epoch[018] Batch [1849]/[1880] Speed: 189.642966 samples/sec accuracy=22.853463 loss=3.566897 lr=0.008122 Batch [0049]/[0151]: acc-top1=21.687500 acc-top5=46.906250 Batch [0099]/[0151]: acc-top1=24.218750 acc-top5=48.914062 Batch [0149]/[0151]: acc-top1=24.052083 acc-top5=49.583333 [Epoch 018] training: accuracy=22.854471 loss=3.566478 [Epoch 018] speed: 184 samples/sec time cost: 1421.610856 [Epoch 018] validation: acc-top1=24.053187 acc-top5=49.544702 loss=3.474062 Epoch[019] Batch [0049]/[1880] Speed: 129.674948 samples/sec accuracy=23.546875 loss=3.528910 lr=0.008138 Epoch[019] Batch [0099]/[1880] Speed: 200.464107 samples/sec accuracy=23.882812 loss=3.497185 lr=0.008148 Epoch[019] Batch [0149]/[1880] Speed: 180.141863 samples/sec accuracy=23.604167 loss=3.515368 lr=0.008158 Epoch[019] Batch [0199]/[1880] Speed: 176.431590 samples/sec accuracy=23.765625 loss=3.511037 lr=0.008168 Epoch[019] Batch [0249]/[1880] Speed: 198.798131 samples/sec accuracy=23.696875 loss=3.507226 lr=0.008178 Epoch[019] Batch [0299]/[1880] Speed: 186.346977 samples/sec accuracy=23.833333 loss=3.495196 lr=0.008188 Epoch[019] Batch [0349]/[1880] Speed: 175.312087 samples/sec accuracy=23.667411 loss=3.502997 lr=0.008198 Epoch[019] Batch [0399]/[1880] Speed: 193.981215 samples/sec accuracy=23.654297 loss=3.504444 lr=0.008208 Epoch[019] Batch [0449]/[1880] Speed: 180.337199 samples/sec accuracy=23.619792 loss=3.505701 lr=0.008218 Epoch[019] Batch [0499]/[1880] Speed: 187.200306 samples/sec accuracy=23.640625 loss=3.506331 lr=0.008228 Epoch[019] Batch [0549]/[1880] Speed: 181.798245 samples/sec accuracy=23.650568 loss=3.504869 lr=0.008238 Epoch[019] Batch [0599]/[1880] Speed: 183.337672 samples/sec accuracy=23.716146 loss=3.502322 lr=0.008248 Epoch[019] Batch [0649]/[1880] Speed: 199.883152 samples/sec accuracy=23.771635 loss=3.501312 lr=0.008258 Epoch[019] Batch [0699]/[1880] Speed: 183.932473 samples/sec accuracy=23.781250 loss=3.502571 lr=0.008268 Epoch[019] Batch [0749]/[1880] Speed: 175.789178 samples/sec accuracy=23.834375 loss=3.499915 lr=0.008278 Epoch[019] Batch [0799]/[1880] Speed: 199.847597 samples/sec accuracy=23.879883 loss=3.500721 lr=0.008288 Epoch[019] Batch [0849]/[1880] Speed: 174.444459 samples/sec accuracy=23.918199 loss=3.499620 lr=0.008298 Epoch[019] Batch [0899]/[1880] Speed: 185.112494 samples/sec accuracy=23.930556 loss=3.498986 lr=0.008308 Epoch[019] Batch [0949]/[1880] Speed: 190.065666 samples/sec accuracy=23.951480 loss=3.497017 lr=0.008318 Epoch[019] Batch [0999]/[1880] Speed: 178.899453 samples/sec accuracy=23.964063 loss=3.496327 lr=0.008328 Epoch[019] Batch [1049]/[1880] Speed: 202.381529 samples/sec accuracy=23.972470 loss=3.497271 lr=0.008338 Epoch[019] Batch [1099]/[1880] Speed: 169.812387 samples/sec accuracy=23.960227 loss=3.497679 lr=0.008348 Epoch[019] Batch [1149]/[1880] Speed: 198.081819 samples/sec accuracy=23.925951 loss=3.499696 lr=0.008358 Epoch[019] Batch [1199]/[1880] Speed: 193.487248 samples/sec accuracy=23.966146 loss=3.498323 lr=0.008368 Epoch[019] Batch [1249]/[1880] Speed: 172.738884 samples/sec accuracy=23.970000 loss=3.497240 lr=0.008378 Epoch[019] Batch [1299]/[1880] Speed: 188.332418 samples/sec accuracy=24.034856 loss=3.495342 lr=0.008388 Epoch[019] Batch [1349]/[1880] Speed: 189.677007 samples/sec accuracy=24.068866 loss=3.494071 lr=0.008398 Epoch[019] Batch [1399]/[1880] Speed: 172.310994 samples/sec accuracy=24.104353 loss=3.493044 lr=0.008408 Epoch[019] Batch [1449]/[1880] Speed: 200.467588 samples/sec accuracy=24.083513 loss=3.493756 lr=0.008418 Epoch[019] Batch [1499]/[1880] Speed: 182.532354 samples/sec accuracy=24.130729 loss=3.493353 lr=0.008428 Epoch[019] Batch [1549]/[1880] Speed: 183.693054 samples/sec accuracy=24.172883 loss=3.491378 lr=0.008437 Epoch[019] Batch [1599]/[1880] Speed: 195.702361 samples/sec accuracy=24.171387 loss=3.492196 lr=0.008447 Epoch[019] Batch [1649]/[1880] Speed: 182.565930 samples/sec accuracy=24.181345 loss=3.492037 lr=0.008457 Epoch[019] Batch [1699]/[1880] Speed: 176.063336 samples/sec accuracy=24.218750 loss=3.490182 lr=0.008467 Epoch[019] Batch [1749]/[1880] Speed: 203.862607 samples/sec accuracy=24.223661 loss=3.489394 lr=0.008477 Epoch[019] Batch [1799]/[1880] Speed: 173.881224 samples/sec accuracy=24.233941 loss=3.488868 lr=0.008487 Epoch[019] Batch [1849]/[1880] Speed: 191.696477 samples/sec accuracy=24.260980 loss=3.486041 lr=0.008497 Batch [0049]/[0151]: acc-top1=21.578125 acc-top5=46.265625 Batch [0099]/[0151]: acc-top1=24.632812 acc-top5=49.312500 Batch [0149]/[0151]: acc-top1=24.619792 acc-top5=50.109375 [Epoch 019] training: accuracy=24.274435 loss=3.486047 [Epoch 019] speed: 184 samples/sec time cost: 1419.960955 [Epoch 019] validation: acc-top1=24.637831 acc-top5=50.098303 loss=3.446971 Epoch[020] Batch [0049]/[1880] Speed: 130.740912 samples/sec accuracy=24.359375 loss=3.451808 lr=0.008513 Epoch[020] Batch [0099]/[1880] Speed: 202.324580 samples/sec accuracy=24.445312 loss=3.443925 lr=0.008523 Epoch[020] Batch [0149]/[1880] Speed: 173.662232 samples/sec accuracy=24.687500 loss=3.443489 lr=0.008533 Epoch[020] Batch [0199]/[1880] Speed: 188.267908 samples/sec accuracy=24.906250 loss=3.428395 lr=0.008543 Epoch[020] Batch [0249]/[1880] Speed: 185.438368 samples/sec accuracy=24.965625 loss=3.427851 lr=0.008553 Epoch[020] Batch [0299]/[1880] Speed: 178.933527 samples/sec accuracy=24.986979 loss=3.428089 lr=0.008563 Epoch[020] Batch [0349]/[1880] Speed: 190.391429 samples/sec accuracy=24.883929 loss=3.434275 lr=0.008573 Epoch[020] Batch [0399]/[1880] Speed: 180.379114 samples/sec accuracy=25.091797 loss=3.428525 lr=0.008583 Epoch[020] Batch [0449]/[1880] Speed: 174.884191 samples/sec accuracy=25.185764 loss=3.426057 lr=0.008593 Epoch[020] Batch [0499]/[1880] Speed: 206.929641 samples/sec accuracy=25.098437 loss=3.428750 lr=0.008603 Epoch[020] Batch [0549]/[1880] Speed: 177.340650 samples/sec accuracy=25.066761 loss=3.429101 lr=0.008613 Epoch[020] Batch [0599]/[1880] Speed: 179.332033 samples/sec accuracy=24.994792 loss=3.430284 lr=0.008623 Epoch[020] Batch [0649]/[1880] Speed: 203.391610 samples/sec accuracy=25.082933 loss=3.427072 lr=0.008633 Epoch[020] Batch [0699]/[1880] Speed: 162.960015 samples/sec accuracy=25.131696 loss=3.425811 lr=0.008643 Epoch[020] Batch [0749]/[1880] Speed: 207.121478 samples/sec accuracy=25.121875 loss=3.428410 lr=0.008653 Epoch[020] Batch [0799]/[1880] Speed: 176.805020 samples/sec accuracy=25.172852 loss=3.427707 lr=0.008663 Epoch[020] Batch [0849]/[1880] Speed: 190.385546 samples/sec accuracy=25.140625 loss=3.429301 lr=0.008673 Epoch[020] Batch [0899]/[1880] Speed: 192.849996 samples/sec accuracy=25.202257 loss=3.426418 lr=0.008683 Epoch[020] Batch [0949]/[1880] Speed: 179.285099 samples/sec accuracy=25.231086 loss=3.423190 lr=0.008693 Epoch[020] Batch [0999]/[1880] Speed: 187.097304 samples/sec accuracy=25.191406 loss=3.423110 lr=0.008703 Epoch[020] Batch [1049]/[1880] Speed: 177.104292 samples/sec accuracy=25.186012 loss=3.423354 lr=0.008713 Epoch[020] Batch [1099]/[1880] Speed: 207.485427 samples/sec accuracy=25.178267 loss=3.425775 lr=0.008723 Epoch[020] Batch [1149]/[1880] Speed: 170.861417 samples/sec accuracy=25.205842 loss=3.423244 lr=0.008733 Epoch[020] Batch [1199]/[1880] Speed: 195.912909 samples/sec accuracy=25.187500 loss=3.423759 lr=0.008743 Epoch[020] Batch [1249]/[1880] Speed: 185.486390 samples/sec accuracy=25.240000 loss=3.421704 lr=0.008753 Epoch[020] Batch [1299]/[1880] Speed: 172.414064 samples/sec accuracy=25.248798 loss=3.421295 lr=0.008763 Epoch[020] Batch [1349]/[1880] Speed: 189.010525 samples/sec accuracy=25.276620 loss=3.418912 lr=0.008773 Epoch[020] Batch [1399]/[1880] Speed: 189.164971 samples/sec accuracy=25.304688 loss=3.418150 lr=0.008783 Epoch[020] Batch [1449]/[1880] Speed: 179.728837 samples/sec accuracy=25.320582 loss=3.416985 lr=0.008793 Epoch[020] Batch [1499]/[1880] Speed: 202.063224 samples/sec accuracy=25.336458 loss=3.416573 lr=0.008803 Epoch[020] Batch [1549]/[1880] Speed: 176.347698 samples/sec accuracy=25.346270 loss=3.417210 lr=0.008813 Epoch[020] Batch [1599]/[1880] Speed: 186.940158 samples/sec accuracy=25.330078 loss=3.417885 lr=0.008823 Epoch[020] Batch [1649]/[1880] Speed: 180.481489 samples/sec accuracy=25.338068 loss=3.416813 lr=0.008833 Epoch[020] Batch [1699]/[1880] Speed: 179.220671 samples/sec accuracy=25.354320 loss=3.415506 lr=0.008843 Epoch[020] Batch [1749]/[1880] Speed: 201.372416 samples/sec accuracy=25.344643 loss=3.415031 lr=0.008853 Epoch[020] Batch [1799]/[1880] Speed: 179.808296 samples/sec accuracy=25.326389 loss=3.415985 lr=0.008863 Epoch[020] Batch [1849]/[1880] Speed: 187.653882 samples/sec accuracy=25.361486 loss=3.414900 lr=0.008873 Batch [0049]/[0151]: acc-top1=23.062500 acc-top5=48.468750 Batch [0099]/[0151]: acc-top1=26.703125 acc-top5=51.906250 Batch [0149]/[0151]: acc-top1=26.151042 acc-top5=52.161458 [Epoch 020] training: accuracy=25.363614 loss=3.414208 [Epoch 020] speed: 184 samples/sec time cost: 1421.608146 [Epoch 020] validation: acc-top1=26.164114 acc-top5=52.141970 loss=3.340460 Epoch[021] Batch [0049]/[1880] Speed: 134.199569 samples/sec accuracy=26.062500 loss=3.335717 lr=0.008889 Epoch[021] Batch [0099]/[1880] Speed: 186.120939 samples/sec accuracy=26.414062 loss=3.332115 lr=0.008899 Epoch[021] Batch [0149]/[1880] Speed: 198.669971 samples/sec accuracy=26.890625 loss=3.316979 lr=0.008909 Epoch[021] Batch [0199]/[1880] Speed: 172.598909 samples/sec accuracy=26.898438 loss=3.318852 lr=0.008918 Epoch[021] Batch [0249]/[1880] Speed: 188.926017 samples/sec accuracy=26.715625 loss=3.326361 lr=0.008928 Epoch[021] Batch [0299]/[1880] Speed: 184.500713 samples/sec accuracy=26.651042 loss=3.334394 lr=0.008938 Epoch[021] Batch [0349]/[1880] Speed: 181.057833 samples/sec accuracy=26.633929 loss=3.337749 lr=0.008948 Epoch[021] Batch [0399]/[1880] Speed: 198.765851 samples/sec accuracy=26.714844 loss=3.339114 lr=0.008958 Epoch[021] Batch [0449]/[1880] Speed: 178.429255 samples/sec accuracy=26.671875 loss=3.340898 lr=0.008968 Epoch[021] Batch [0499]/[1880] Speed: 186.217199 samples/sec accuracy=26.742187 loss=3.340141 lr=0.008978 Epoch[021] Batch [0549]/[1880] Speed: 176.589257 samples/sec accuracy=26.678977 loss=3.340565 lr=0.008988 Epoch[021] Batch [0599]/[1880] Speed: 195.221544 samples/sec accuracy=26.623698 loss=3.346312 lr=0.008998 Epoch[021] Batch [0649]/[1880] Speed: 179.524531 samples/sec accuracy=26.664663 loss=3.344537 lr=0.009008 Epoch[021] Batch [0699]/[1880] Speed: 190.103293 samples/sec accuracy=26.710938 loss=3.342902 lr=0.009018 Epoch[021] Batch [0749]/[1880] Speed: 197.625871 samples/sec accuracy=26.709375 loss=3.340259 lr=0.009028 Epoch[021] Batch [0799]/[1880] Speed: 166.345763 samples/sec accuracy=26.774414 loss=3.341199 lr=0.009038 Epoch[021] Batch [0849]/[1880] Speed: 201.030648 samples/sec accuracy=26.718750 loss=3.343848 lr=0.009048 Epoch[021] Batch [0899]/[1880] Speed: 175.509917 samples/sec accuracy=26.729167 loss=3.344624 lr=0.009058 Epoch[021] Batch [0949]/[1880] Speed: 184.179143 samples/sec accuracy=26.689967 loss=3.346855 lr=0.009068 Epoch[021] Batch [0999]/[1880] Speed: 201.096293 samples/sec accuracy=26.706250 loss=3.346320 lr=0.009078 Epoch[021] Batch [1049]/[1880] Speed: 168.924529 samples/sec accuracy=26.718006 loss=3.344557 lr=0.009088 Epoch[021] Batch [1099]/[1880] Speed: 186.810145 samples/sec accuracy=26.737926 loss=3.344018 lr=0.009098 Epoch[021] Batch [1149]/[1880] Speed: 188.704274 samples/sec accuracy=26.724185 loss=3.345337 lr=0.009108 Epoch[021] Batch [1199]/[1880] Speed: 178.915456 samples/sec accuracy=26.714844 loss=3.343896 lr=0.009118 Epoch[021] Batch [1249]/[1880] Speed: 200.423002 samples/sec accuracy=26.740625 loss=3.344849 lr=0.009128 Epoch[021] Batch [1299]/[1880] Speed: 175.765542 samples/sec accuracy=26.766226 loss=3.342659 lr=0.009138 Epoch[021] Batch [1349]/[1880] Speed: 195.925980 samples/sec accuracy=26.793981 loss=3.341369 lr=0.009148 Epoch[021] Batch [1399]/[1880] Speed: 181.752960 samples/sec accuracy=26.770089 loss=3.342549 lr=0.009158 Epoch[021] Batch [1449]/[1880] Speed: 173.286178 samples/sec accuracy=26.772629 loss=3.341726 lr=0.009168 Epoch[021] Batch [1499]/[1880] Speed: 202.576222 samples/sec accuracy=26.751042 loss=3.342438 lr=0.009178 Epoch[021] Batch [1549]/[1880] Speed: 176.946822 samples/sec accuracy=26.783266 loss=3.341326 lr=0.009188 Epoch[021] Batch [1599]/[1880] Speed: 193.204012 samples/sec accuracy=26.770020 loss=3.341048 lr=0.009198 Epoch[021] Batch [1649]/[1880] Speed: 163.751823 samples/sec accuracy=26.773201 loss=3.340466 lr=0.009208 Epoch[021] Batch [1699]/[1880] Speed: 208.218079 samples/sec accuracy=26.793658 loss=3.338723 lr=0.009218 Epoch[021] Batch [1749]/[1880] Speed: 184.091749 samples/sec accuracy=26.769196 loss=3.338582 lr=0.009228 Epoch[021] Batch [1799]/[1880] Speed: 179.258087 samples/sec accuracy=26.751736 loss=3.338549 lr=0.009238 Epoch[021] Batch [1849]/[1880] Speed: 192.821476 samples/sec accuracy=26.763936 loss=3.337256 lr=0.009248 Batch [0049]/[0151]: acc-top1=25.796875 acc-top5=50.593750 Batch [0099]/[0151]: acc-top1=28.250000 acc-top5=53.414062 Batch [0149]/[0151]: acc-top1=27.473958 acc-top5=54.088542 [Epoch 021] training: accuracy=26.757397 loss=3.336548 [Epoch 021] speed: 184 samples/sec time cost: 1423.918554 [Epoch 021] validation: acc-top1=27.498965 acc-top5=54.066639 loss=3.267139 Epoch[022] Batch [0049]/[1880] Speed: 132.278669 samples/sec accuracy=27.984375 loss=3.268206 lr=0.009264 Epoch[022] Batch [0099]/[1880] Speed: 209.730714 samples/sec accuracy=27.671875 loss=3.275662 lr=0.009274 Epoch[022] Batch [0149]/[1880] Speed: 172.241348 samples/sec accuracy=27.572917 loss=3.270181 lr=0.009284 Epoch[022] Batch [0199]/[1880] Speed: 191.180745 samples/sec accuracy=27.957031 loss=3.262231 lr=0.009294 Epoch[022] Batch [0249]/[1880] Speed: 174.645213 samples/sec accuracy=27.921875 loss=3.268780 lr=0.009304 Epoch[022] Batch [0299]/[1880] Speed: 199.332087 samples/sec accuracy=28.085938 loss=3.266617 lr=0.009314 Epoch[022] Batch [0349]/[1880] Speed: 196.613529 samples/sec accuracy=28.044643 loss=3.267112 lr=0.009324 Epoch[022] Batch [0399]/[1880] Speed: 178.208402 samples/sec accuracy=27.982422 loss=3.268780 lr=0.009334 Epoch[022] Batch [0449]/[1880] Speed: 184.814617 samples/sec accuracy=27.940972 loss=3.269276 lr=0.009344 Epoch[022] Batch [0499]/[1880] Speed: 183.086225 samples/sec accuracy=27.968750 loss=3.268210 lr=0.009354 Epoch[022] Batch [0549]/[1880] Speed: 177.439860 samples/sec accuracy=27.950284 loss=3.270088 lr=0.009364 Epoch[022] Batch [0599]/[1880] Speed: 193.703675 samples/sec accuracy=27.962240 loss=3.270434 lr=0.009374 Epoch[022] Batch [0649]/[1880] Speed: 188.261955 samples/sec accuracy=27.896635 loss=3.272083 lr=0.009384 Epoch[022] Batch [0699]/[1880] Speed: 187.568172 samples/sec accuracy=27.816964 loss=3.274652 lr=0.009393 Epoch[022] Batch [0749]/[1880] Speed: 179.399090 samples/sec accuracy=27.894792 loss=3.272149 lr=0.009403 Epoch[022] Batch [0799]/[1880] Speed: 193.756426 samples/sec accuracy=27.913086 loss=3.270187 lr=0.009413 Epoch[022] Batch [0849]/[1880] Speed: 181.645961 samples/sec accuracy=27.861213 loss=3.272149 lr=0.009423 Epoch[022] Batch [0899]/[1880] Speed: 199.737166 samples/sec accuracy=27.809028 loss=3.274962 lr=0.009433 Epoch[022] Batch [0949]/[1880] Speed: 174.869532 samples/sec accuracy=27.782895 loss=3.276374 lr=0.009443 Epoch[022] Batch [0999]/[1880] Speed: 181.381643 samples/sec accuracy=27.753125 loss=3.277084 lr=0.009453 Epoch[022] Batch [1049]/[1880] Speed: 190.300710 samples/sec accuracy=27.776786 loss=3.277052 lr=0.009463 Epoch[022] Batch [1099]/[1880] Speed: 196.371645 samples/sec accuracy=27.734375 loss=3.278773 lr=0.009473 Epoch[022] Batch [1149]/[1880] Speed: 179.367129 samples/sec accuracy=27.710598 loss=3.278486 lr=0.009483 Epoch[022] Batch [1199]/[1880] Speed: 182.163027 samples/sec accuracy=27.684896 loss=3.279378 lr=0.009493 Epoch[022] Batch [1249]/[1880] Speed: 196.365262 samples/sec accuracy=27.737500 loss=3.277321 lr=0.009503 Epoch[022] Batch [1299]/[1880] Speed: 187.326247 samples/sec accuracy=27.733774 loss=3.277878 lr=0.009513 Epoch[022] Batch [1349]/[1880] Speed: 175.159176 samples/sec accuracy=27.753472 loss=3.277617 lr=0.009523 Epoch[022] Batch [1399]/[1880] Speed: 191.350885 samples/sec accuracy=27.755022 loss=3.276692 lr=0.009533 Epoch[022] Batch [1449]/[1880] Speed: 184.706383 samples/sec accuracy=27.771552 loss=3.275720 lr=0.009543 Epoch[022] Batch [1499]/[1880] Speed: 187.202510 samples/sec accuracy=27.786979 loss=3.275336 lr=0.009553 Epoch[022] Batch [1549]/[1880] Speed: 185.488321 samples/sec accuracy=27.762097 loss=3.276432 lr=0.009563 Epoch[022] Batch [1599]/[1880] Speed: 190.146271 samples/sec accuracy=27.771973 loss=3.276414 lr=0.009573 Epoch[022] Batch [1649]/[1880] Speed: 177.149391 samples/sec accuracy=27.795455 loss=3.275829 lr=0.009583 Epoch[022] Batch [1699]/[1880] Speed: 189.379013 samples/sec accuracy=27.812500 loss=3.275096 lr=0.009593 Epoch[022] Batch [1749]/[1880] Speed: 181.724847 samples/sec accuracy=27.829911 loss=3.274294 lr=0.009603 Epoch[022] Batch [1799]/[1880] Speed: 187.684974 samples/sec accuracy=27.855035 loss=3.273384 lr=0.009613 Epoch[022] Batch [1849]/[1880] Speed: 186.133315 samples/sec accuracy=27.856841 loss=3.273337 lr=0.009623 Batch [0049]/[0151]: acc-top1=26.906250 acc-top5=53.328125 Batch [0099]/[0151]: acc-top1=29.218750 acc-top5=55.390625 Batch [0149]/[0151]: acc-top1=28.598958 acc-top5=55.447917 [Epoch 022] training: accuracy=27.860289 loss=3.273112 [Epoch 022] speed: 185 samples/sec time cost: 1415.074652 [Epoch 022] validation: acc-top1=28.606167 acc-top5=55.411838 loss=3.214687 Epoch[023] Batch [0049]/[1879] Speed: 138.149267 samples/sec accuracy=28.734375 loss=3.222673 lr=0.009639 Epoch[023] Batch [0099]/[1879] Speed: 179.551888 samples/sec accuracy=28.515625 loss=3.214285 lr=0.009649 Epoch[023] Batch [0149]/[1879] Speed: 194.693984 samples/sec accuracy=28.963542 loss=3.211329 lr=0.009659 Epoch[023] Batch [0199]/[1879] Speed: 174.724575 samples/sec accuracy=28.988281 loss=3.211150 lr=0.009669 Epoch[023] Batch [0249]/[1879] Speed: 195.269964 samples/sec accuracy=28.837500 loss=3.213297 lr=0.009679 Epoch[023] Batch [0299]/[1879] Speed: 179.082093 samples/sec accuracy=28.888021 loss=3.208097 lr=0.009689 Epoch[023] Batch [0349]/[1879] Speed: 183.062725 samples/sec accuracy=28.868304 loss=3.212319 lr=0.009699 Epoch[023] Batch [0399]/[1879] Speed: 197.250858 samples/sec accuracy=28.890625 loss=3.217776 lr=0.009709 Epoch[023] Batch [0449]/[1879] Speed: 167.523553 samples/sec accuracy=28.855903 loss=3.219643 lr=0.009719 Epoch[023] Batch [0499]/[1879] Speed: 202.571086 samples/sec accuracy=28.917188 loss=3.216863 lr=0.009729 Epoch[023] Batch [0549]/[1879] Speed: 176.501212 samples/sec accuracy=28.924716 loss=3.217563 lr=0.009739 Epoch[023] Batch [0599]/[1879] Speed: 196.463403 samples/sec accuracy=28.973958 loss=3.216004 lr=0.009749 Epoch[023] Batch [0649]/[1879] Speed: 169.807213 samples/sec accuracy=28.983173 loss=3.213933 lr=0.009759 Epoch[023] Batch [0699]/[1879] Speed: 202.616308 samples/sec accuracy=28.973214 loss=3.214422 lr=0.009769 Epoch[023] Batch [0749]/[1879] Speed: 174.808615 samples/sec accuracy=28.980208 loss=3.210968 lr=0.009779 Epoch[023] Batch [0799]/[1879] Speed: 193.141879 samples/sec accuracy=29.068359 loss=3.209722 lr=0.009789 Epoch[023] Batch [0849]/[1879] Speed: 174.795571 samples/sec accuracy=29.074449 loss=3.210054 lr=0.009799 Epoch[023] Batch [0899]/[1879] Speed: 201.809821 samples/sec accuracy=29.070312 loss=3.210017 lr=0.009809 Epoch[023] Batch [0949]/[1879] Speed: 186.740576 samples/sec accuracy=29.042763 loss=3.211549 lr=0.009819 Epoch[023] Batch [0999]/[1879] Speed: 171.450582 samples/sec accuracy=29.053906 loss=3.210318 lr=0.009829 Epoch[023] Batch [1049]/[1879] Speed: 206.123789 samples/sec accuracy=29.033482 loss=3.211633 lr=0.009839 Epoch[023] Batch [1099]/[1879] Speed: 169.189058 samples/sec accuracy=29.002841 loss=3.212303 lr=0.009849 Epoch[023] Batch [1149]/[1879] Speed: 192.121973 samples/sec accuracy=28.987772 loss=3.211965 lr=0.009858 Epoch[023] Batch [1199]/[1879] Speed: 189.635034 samples/sec accuracy=28.968099 loss=3.211560 lr=0.009868 Epoch[023] Batch [1249]/[1879] Speed: 181.593984 samples/sec accuracy=28.980625 loss=3.211936 lr=0.009878 Epoch[023] Batch [1299]/[1879] Speed: 181.315287 samples/sec accuracy=29.003005 loss=3.210691 lr=0.009888 Epoch[023] Batch [1349]/[1879] Speed: 187.962834 samples/sec accuracy=28.979167 loss=3.210989 lr=0.009898 Epoch[023] Batch [1399]/[1879] Speed: 183.309707 samples/sec accuracy=28.994420 loss=3.211126 lr=0.009908 Epoch[023] Batch [1449]/[1879] Speed: 200.847842 samples/sec accuracy=29.030711 loss=3.211221 lr=0.009918 Epoch[023] Batch [1499]/[1879] Speed: 174.636294 samples/sec accuracy=29.035937 loss=3.211013 lr=0.009928 Epoch[023] Batch [1549]/[1879] Speed: 189.794520 samples/sec accuracy=29.014617 loss=3.211454 lr=0.009938 Epoch[023] Batch [1599]/[1879] Speed: 170.526256 samples/sec accuracy=29.036133 loss=3.209976 lr=0.009948 Epoch[023] Batch [1649]/[1879] Speed: 206.577569 samples/sec accuracy=29.021780 loss=3.211438 lr=0.009958 Epoch[023] Batch [1699]/[1879] Speed: 172.118093 samples/sec accuracy=29.035846 loss=3.210768 lr=0.009968 Epoch[023] Batch [1749]/[1879] Speed: 196.498408 samples/sec accuracy=29.033482 loss=3.211551 lr=0.009978 Epoch[023] Batch [1799]/[1879] Speed: 183.861677 samples/sec accuracy=29.045139 loss=3.212527 lr=0.009988 Epoch[023] Batch [1849]/[1879] Speed: 192.271784 samples/sec accuracy=29.061233 loss=3.211774 lr=0.009998 Batch [0049]/[0151]: acc-top1=26.781250 acc-top5=52.359375 Batch [0099]/[0151]: acc-top1=29.921875 acc-top5=55.539062 Batch [0149]/[0151]: acc-top1=29.536458 acc-top5=55.802083 [Epoch 023] training: accuracy=29.069236 loss=3.211682 [Epoch 023] speed: 184 samples/sec time cost: 1420.816398 [Epoch 023] validation: acc-top1=29.511589 acc-top5=55.779180 loss=3.192585 Epoch[024] Batch [0049]/[1880] Speed: 134.026983 samples/sec accuracy=29.328125 loss=3.194800 lr=0.010000 Epoch[024] Batch [0099]/[1880] Speed: 199.099297 samples/sec accuracy=30.031250 loss=3.155545 lr=0.010000 Epoch[024] Batch [0149]/[1880] Speed: 177.318246 samples/sec accuracy=30.218750 loss=3.149540 lr=0.010000 Epoch[024] Batch [0199]/[1880] Speed: 187.544941 samples/sec accuracy=30.121094 loss=3.157131 lr=0.010000 Epoch[024] Batch [0249]/[1880] Speed: 188.835608 samples/sec accuracy=30.140625 loss=3.163363 lr=0.010000 Epoch[024] Batch [0299]/[1880] Speed: 172.279146 samples/sec accuracy=30.070312 loss=3.161172 lr=0.010000 Epoch[024] Batch [0349]/[1880] Speed: 203.768042 samples/sec accuracy=30.274554 loss=3.156798 lr=0.010000 Epoch[024] Batch [0399]/[1880] Speed: 173.295045 samples/sec accuracy=30.134766 loss=3.158201 lr=0.010000 Epoch[024] Batch [0449]/[1880] Speed: 190.990976 samples/sec accuracy=30.145833 loss=3.158412 lr=0.010000 Epoch[024] Batch [0499]/[1880] Speed: 189.822033 samples/sec accuracy=30.056250 loss=3.162244 lr=0.010000 Epoch[024] Batch [0549]/[1880] Speed: 179.423882 samples/sec accuracy=30.018466 loss=3.165047 lr=0.010000 Epoch[024] Batch [0599]/[1880] Speed: 194.567462 samples/sec accuracy=29.996094 loss=3.165414 lr=0.010000 Epoch[024] Batch [0649]/[1880] Speed: 180.536070 samples/sec accuracy=30.066106 loss=3.163282 lr=0.010000 Epoch[024] Batch [0699]/[1880] Speed: 185.320391 samples/sec accuracy=30.100446 loss=3.163155 lr=0.010000 Epoch[024] Batch [0749]/[1880] Speed: 184.150750 samples/sec accuracy=30.081250 loss=3.162796 lr=0.010000 Epoch[024] Batch [0799]/[1880] Speed: 183.357997 samples/sec accuracy=30.027344 loss=3.164440 lr=0.010000 Epoch[024] Batch [0849]/[1880] Speed: 192.932255 samples/sec accuracy=30.079963 loss=3.162285 lr=0.010000 Epoch[024] Batch [0899]/[1880] Speed: 184.444929 samples/sec accuracy=30.074653 loss=3.164195 lr=0.010000 Epoch[024] Batch [0949]/[1880] Speed: 192.067472 samples/sec accuracy=30.101151 loss=3.162935 lr=0.010000 Epoch[024] Batch [0999]/[1880] Speed: 175.946897 samples/sec accuracy=30.047656 loss=3.162764 lr=0.010000 Epoch[024] Batch [1049]/[1880] Speed: 187.033109 samples/sec accuracy=30.090774 loss=3.160498 lr=0.010000 Epoch[024] Batch [1099]/[1880] Speed: 195.077188 samples/sec accuracy=30.090199 loss=3.162326 lr=0.010000 Epoch[024] Batch [1149]/[1880] Speed: 190.705713 samples/sec accuracy=30.082880 loss=3.163792 lr=0.010000 Epoch[024] Batch [1199]/[1880] Speed: 179.560740 samples/sec accuracy=30.047526 loss=3.164770 lr=0.010000 Epoch[024] Batch [1249]/[1880] Speed: 180.792276 samples/sec accuracy=30.041875 loss=3.163741 lr=0.010000 Epoch[024] Batch [1299]/[1880] Speed: 186.131945 samples/sec accuracy=30.064904 loss=3.161872 lr=0.010000 Epoch[024] Batch [1349]/[1880] Speed: 182.925892 samples/sec accuracy=30.075231 loss=3.161542 lr=0.010000 Epoch[024] Batch [1399]/[1880] Speed: 192.924267 samples/sec accuracy=30.073661 loss=3.159953 lr=0.010000 Epoch[024] Batch [1449]/[1880] Speed: 186.446482 samples/sec accuracy=30.104526 loss=3.159474 lr=0.009999 Epoch[024] Batch [1499]/[1880] Speed: 175.373912 samples/sec accuracy=30.090104 loss=3.159343 lr=0.009999 Epoch[024] Batch [1549]/[1880] Speed: 197.362967 samples/sec accuracy=30.110887 loss=3.157530 lr=0.009999 Epoch[024] Batch [1599]/[1880] Speed: 194.159555 samples/sec accuracy=30.100586 loss=3.158089 lr=0.009999 Epoch[024] Batch [1649]/[1880] Speed: 173.178784 samples/sec accuracy=30.140625 loss=3.155643 lr=0.009999 Epoch[024] Batch [1699]/[1880] Speed: 196.451923 samples/sec accuracy=30.143842 loss=3.156038 lr=0.009999 Epoch[024] Batch [1749]/[1880] Speed: 177.157546 samples/sec accuracy=30.148214 loss=3.156124 lr=0.009999 Epoch[024] Batch [1799]/[1880] Speed: 186.265130 samples/sec accuracy=30.138889 loss=3.156613 lr=0.009999 Epoch[024] Batch [1849]/[1880] Speed: 204.876213 samples/sec accuracy=30.138936 loss=3.156576 lr=0.009999 Batch [0049]/[0151]: acc-top1=28.968750 acc-top5=55.296875 Batch [0099]/[0151]: acc-top1=31.679687 acc-top5=57.531250 Batch [0149]/[0151]: acc-top1=30.718750 acc-top5=57.250000 [Epoch 024] training: accuracy=30.145445 loss=3.155556 [Epoch 024] speed: 184 samples/sec time cost: 1418.122028 [Epoch 024] validation: acc-top1=30.706747 acc-top5=57.217508 loss=3.107537 Epoch[025] Batch [0049]/[1880] Speed: 136.421106 samples/sec accuracy=32.296875 loss=3.076328 lr=0.009999 Epoch[025] Batch [0099]/[1880] Speed: 188.428823 samples/sec accuracy=32.023438 loss=3.070253 lr=0.009999 Epoch[025] Batch [0149]/[1880] Speed: 194.517279 samples/sec accuracy=31.531250 loss=3.074976 lr=0.009999 Epoch[025] Batch [0199]/[1880] Speed: 174.790415 samples/sec accuracy=31.582031 loss=3.068220 lr=0.009999 Epoch[025] Batch [0249]/[1880] Speed: 195.740954 samples/sec accuracy=31.384375 loss=3.078459 lr=0.009999 Epoch[025] Batch [0299]/[1880] Speed: 183.189729 samples/sec accuracy=31.567708 loss=3.068926 lr=0.009999 Epoch[025] Batch [0349]/[1880] Speed: 182.169862 samples/sec accuracy=31.647321 loss=3.069770 lr=0.009999 Epoch[025] Batch [0399]/[1880] Speed: 186.158462 samples/sec accuracy=31.453125 loss=3.076908 lr=0.009999 Epoch[025] Batch [0449]/[1880] Speed: 179.086088 samples/sec accuracy=31.364583 loss=3.079136 lr=0.009999 Epoch[025] Batch [0499]/[1880] Speed: 203.973866 samples/sec accuracy=31.421875 loss=3.079512 lr=0.009999 Epoch[025] Batch [0549]/[1880] Speed: 173.512247 samples/sec accuracy=31.338068 loss=3.081754 lr=0.009999 Epoch[025] Batch [0599]/[1880] Speed: 194.353089 samples/sec accuracy=31.292969 loss=3.086031 lr=0.009999 Epoch[025] Batch [0649]/[1880] Speed: 179.064076 samples/sec accuracy=31.317308 loss=3.084228 lr=0.009998 Epoch[025] Batch [0699]/[1880] Speed: 191.633202 samples/sec accuracy=31.324777 loss=3.082189 lr=0.009998 Epoch[025] Batch [0749]/[1880] Speed: 192.546113 samples/sec accuracy=31.385417 loss=3.082330 lr=0.009998 Epoch[025] Batch [0799]/[1880] Speed: 174.127913 samples/sec accuracy=31.312500 loss=3.084506 lr=0.009998 Epoch[025] Batch [0849]/[1880] Speed: 192.345001 samples/sec accuracy=31.277574 loss=3.085522 lr=0.009998 Epoch[025] Batch [0899]/[1880] Speed: 187.126726 samples/sec accuracy=31.286458 loss=3.084809 lr=0.009998 Epoch[025] Batch [0949]/[1880] Speed: 173.362457 samples/sec accuracy=31.261513 loss=3.085702 lr=0.009998 Epoch[025] Batch [0999]/[1880] Speed: 207.816234 samples/sec accuracy=31.264063 loss=3.085532 lr=0.009998 Epoch[025] Batch [1049]/[1880] Speed: 171.174366 samples/sec accuracy=31.291667 loss=3.085323 lr=0.009998 Epoch[025] Batch [1099]/[1880] Speed: 191.399428 samples/sec accuracy=31.262784 loss=3.087351 lr=0.009998 Epoch[025] Batch [1149]/[1880] Speed: 187.717756 samples/sec accuracy=31.312500 loss=3.086260 lr=0.009998 Epoch[025] Batch [1199]/[1880] Speed: 181.145468 samples/sec accuracy=31.292318 loss=3.088328 lr=0.009998 Epoch[025] Batch [1249]/[1880] Speed: 186.237123 samples/sec accuracy=31.261875 loss=3.089244 lr=0.009998 Epoch[025] Batch [1299]/[1880] Speed: 187.723750 samples/sec accuracy=31.253005 loss=3.089528 lr=0.009998 Epoch[025] Batch [1349]/[1880] Speed: 191.521447 samples/sec accuracy=31.310185 loss=3.087777 lr=0.009998 Epoch[025] Batch [1399]/[1880] Speed: 178.351131 samples/sec accuracy=31.298549 loss=3.088648 lr=0.009997 Epoch[025] Batch [1449]/[1880] Speed: 193.190920 samples/sec accuracy=31.290409 loss=3.088221 lr=0.009997 Epoch[025] Batch [1499]/[1880] Speed: 175.870746 samples/sec accuracy=31.321354 loss=3.087682 lr=0.009997 Epoch[025] Batch [1549]/[1880] Speed: 191.887344 samples/sec accuracy=31.288810 loss=3.088620 lr=0.009997 Epoch[025] Batch [1599]/[1880] Speed: 185.194244 samples/sec accuracy=31.295410 loss=3.089031 lr=0.009997 Epoch[025] Batch [1649]/[1880] Speed: 185.402740 samples/sec accuracy=31.276515 loss=3.089303 lr=0.009997 Epoch[025] Batch [1699]/[1880] Speed: 184.595606 samples/sec accuracy=31.281710 loss=3.089189 lr=0.009997 Epoch[025] Batch [1749]/[1880] Speed: 192.141801 samples/sec accuracy=31.277679 loss=3.088860 lr=0.009997 Epoch[025] Batch [1799]/[1880] Speed: 184.233863 samples/sec accuracy=31.281250 loss=3.088367 lr=0.009997 Epoch[025] Batch [1849]/[1880] Speed: 183.916509 samples/sec accuracy=31.262669 loss=3.088767 lr=0.009997 Batch [0049]/[0151]: acc-top1=29.000000 acc-top5=54.843750 Batch [0099]/[0151]: acc-top1=32.351562 acc-top5=57.515625 Batch [0149]/[0151]: acc-top1=31.682292 acc-top5=57.562500 [Epoch 025] training: accuracy=31.276180 loss=3.088218 [Epoch 025] speed: 184 samples/sec time cost: 1416.517156 [Epoch 025] validation: acc-top1=31.700124 acc-top5=57.548634 loss=3.102716 Epoch[026] Batch [0049]/[1880] Speed: 132.614197 samples/sec accuracy=32.500000 loss=3.000433 lr=0.009997 Epoch[026] Batch [0099]/[1880] Speed: 204.731663 samples/sec accuracy=31.585938 loss=3.039340 lr=0.009996 Epoch[026] Batch [0149]/[1880] Speed: 181.353182 samples/sec accuracy=31.859375 loss=3.028854 lr=0.009996 Epoch[026] Batch [0199]/[1880] Speed: 181.998968 samples/sec accuracy=32.089844 loss=3.024687 lr=0.009996 Epoch[026] Batch [0249]/[1880] Speed: 187.587326 samples/sec accuracy=32.153125 loss=3.018686 lr=0.009996 Epoch[026] Batch [0299]/[1880] Speed: 173.738564 samples/sec accuracy=32.242188 loss=3.016296 lr=0.009996 Epoch[026] Batch [0349]/[1880] Speed: 185.008163 samples/sec accuracy=32.162946 loss=3.018830 lr=0.009996 Epoch[026] Batch [0399]/[1880] Speed: 196.186720 samples/sec accuracy=32.181641 loss=3.022622 lr=0.009996 Epoch[026] Batch [0449]/[1880] Speed: 180.751496 samples/sec accuracy=32.133681 loss=3.025621 lr=0.009996 Epoch[026] Batch [0499]/[1880] Speed: 203.966317 samples/sec accuracy=32.070312 loss=3.028756 lr=0.009996 Epoch[026] Batch [0549]/[1880] Speed: 168.454232 samples/sec accuracy=32.071023 loss=3.028613 lr=0.009996 Epoch[026] Batch [0599]/[1880] Speed: 191.652061 samples/sec accuracy=32.052083 loss=3.028387 lr=0.009995 Epoch[026] Batch [0649]/[1880] Speed: 181.430355 samples/sec accuracy=32.092548 loss=3.028110 lr=0.009995 Epoch[026] Batch [0699]/[1880] Speed: 194.452957 samples/sec accuracy=32.120536 loss=3.027959 lr=0.009995 Epoch[026] Batch [0749]/[1880] Speed: 183.493883 samples/sec accuracy=32.096875 loss=3.029144 lr=0.009995 Epoch[026] Batch [0799]/[1880] Speed: 184.458777 samples/sec accuracy=32.048828 loss=3.033001 lr=0.009995 Epoch[026] Batch [0849]/[1880] Speed: 194.795318 samples/sec accuracy=32.119485 loss=3.032174 lr=0.009995 Epoch[026] Batch [0899]/[1880] Speed: 181.235539 samples/sec accuracy=32.138021 loss=3.031491 lr=0.009995 Epoch[026] Batch [0949]/[1880] Speed: 175.523155 samples/sec accuracy=32.087171 loss=3.033492 lr=0.009995 Epoch[026] Batch [0999]/[1880] Speed: 188.559177 samples/sec accuracy=32.096094 loss=3.032341 lr=0.009995 Epoch[026] Batch [1049]/[1880] Speed: 193.680573 samples/sec accuracy=32.136161 loss=3.030472 lr=0.009994 Epoch[026] Batch [1099]/[1880] Speed: 178.123486 samples/sec accuracy=32.159801 loss=3.029573 lr=0.009994 Epoch[026] Batch [1149]/[1880] Speed: 191.642566 samples/sec accuracy=32.190217 loss=3.029182 lr=0.009994 Epoch[026] Batch [1199]/[1880] Speed: 170.994685 samples/sec accuracy=32.161458 loss=3.029677 lr=0.009994 Epoch[026] Batch [1249]/[1880] Speed: 198.450969 samples/sec accuracy=32.142500 loss=3.031320 lr=0.009994 Epoch[026] Batch [1299]/[1880] Speed: 189.873082 samples/sec accuracy=32.126803 loss=3.033082 lr=0.009994 Epoch[026] Batch [1349]/[1880] Speed: 163.524434 samples/sec accuracy=32.114005 loss=3.032925 lr=0.009994 Epoch[026] Batch [1399]/[1880] Speed: 203.720373 samples/sec accuracy=32.108817 loss=3.033519 lr=0.009994 Epoch[026] Batch [1449]/[1880] Speed: 190.672251 samples/sec accuracy=32.155172 loss=3.033154 lr=0.009994 Epoch[026] Batch [1499]/[1880] Speed: 178.497679 samples/sec accuracy=32.180208 loss=3.032480 lr=0.009993 Epoch[026] Batch [1549]/[1880] Speed: 185.838347 samples/sec accuracy=32.181452 loss=3.032066 lr=0.009993 Epoch[026] Batch [1599]/[1880] Speed: 184.773187 samples/sec accuracy=32.207520 loss=3.031765 lr=0.009993 Epoch[026] Batch [1649]/[1880] Speed: 184.771277 samples/sec accuracy=32.241477 loss=3.031235 lr=0.009993 Epoch[026] Batch [1699]/[1880] Speed: 185.328875 samples/sec accuracy=32.271599 loss=3.030861 lr=0.009993 Epoch[026] Batch [1749]/[1880] Speed: 179.887039 samples/sec accuracy=32.279911 loss=3.029820 lr=0.009993 Epoch[026] Batch [1799]/[1880] Speed: 201.330591 samples/sec accuracy=32.273872 loss=3.029794 lr=0.009993 Epoch[026] Batch [1849]/[1880] Speed: 168.662364 samples/sec accuracy=32.306588 loss=3.028423 lr=0.009993 Batch [0049]/[0151]: acc-top1=30.921875 acc-top5=57.515625 Batch [0099]/[0151]: acc-top1=34.125000 acc-top5=59.687500 Batch [0149]/[0151]: acc-top1=33.052083 acc-top5=59.661458 [Epoch 026] training: accuracy=32.342503 loss=3.027383 [Epoch 026] speed: 184 samples/sec time cost: 1421.359815 [Epoch 026] validation: acc-top1=33.034975 acc-top5=59.571606 loss=2.996882 Epoch[027] Batch [0049]/[1880] Speed: 133.444067 samples/sec accuracy=33.718750 loss=2.969091 lr=0.009992 Epoch[027] Batch [0099]/[1880] Speed: 189.550786 samples/sec accuracy=33.437500 loss=2.970180 lr=0.009992 Epoch[027] Batch [0149]/[1880] Speed: 186.186316 samples/sec accuracy=33.390625 loss=2.973046 lr=0.009992 Epoch[027] Batch [0199]/[1880] Speed: 174.893704 samples/sec accuracy=33.304688 loss=2.969442 lr=0.009992 Epoch[027] Batch [0249]/[1880] Speed: 203.360544 samples/sec accuracy=33.490625 loss=2.959136 lr=0.009992 Epoch[027] Batch [0299]/[1880] Speed: 185.147063 samples/sec accuracy=33.437500 loss=2.959556 lr=0.009992 Epoch[027] Batch [0349]/[1880] Speed: 174.847260 samples/sec accuracy=33.372768 loss=2.961963 lr=0.009991 Epoch[027] Batch [0399]/[1880] Speed: 197.941681 samples/sec accuracy=33.525391 loss=2.956573 lr=0.009991 Epoch[027] Batch [0449]/[1880] Speed: 173.175944 samples/sec accuracy=33.473958 loss=2.958144 lr=0.009991 Epoch[027] Batch [0499]/[1880] Speed: 186.571278 samples/sec accuracy=33.496875 loss=2.958585 lr=0.009991 Epoch[027] Batch [0549]/[1880] Speed: 199.814584 samples/sec accuracy=33.448864 loss=2.960784 lr=0.009991 Epoch[027] Batch [0599]/[1880] Speed: 178.570924 samples/sec accuracy=33.484375 loss=2.960621 lr=0.009991 Epoch[027] Batch [0649]/[1880] Speed: 191.978963 samples/sec accuracy=33.551683 loss=2.958332 lr=0.009991 Epoch[027] Batch [0699]/[1880] Speed: 163.806785 samples/sec accuracy=33.470982 loss=2.964218 lr=0.009990 Epoch[027] Batch [0749]/[1880] Speed: 201.258724 samples/sec accuracy=33.463542 loss=2.965917 lr=0.009990 Epoch[027] Batch [0799]/[1880] Speed: 193.362103 samples/sec accuracy=33.414062 loss=2.967965 lr=0.009990 Epoch[027] Batch [0849]/[1880] Speed: 171.669757 samples/sec accuracy=33.431985 loss=2.968076 lr=0.009990 Epoch[027] Batch [0899]/[1880] Speed: 201.468570 samples/sec accuracy=33.465278 loss=2.967165 lr=0.009990 Epoch[027] Batch [0949]/[1880] Speed: 178.169105 samples/sec accuracy=33.450658 loss=2.968817 lr=0.009990 Epoch[027] Batch [0999]/[1880] Speed: 173.905855 samples/sec accuracy=33.382812 loss=2.972109 lr=0.009990 Epoch[027] Batch [1049]/[1880] Speed: 198.030497 samples/sec accuracy=33.330357 loss=2.973135 lr=0.009989 Epoch[027] Batch [1099]/[1880] Speed: 180.852805 samples/sec accuracy=33.338778 loss=2.972888 lr=0.009989 Epoch[027] Batch [1149]/[1880] Speed: 185.408543 samples/sec accuracy=33.329484 loss=2.973262 lr=0.009989 Epoch[027] Batch [1199]/[1880] Speed: 179.241702 samples/sec accuracy=33.341797 loss=2.971937 lr=0.009989 Epoch[027] Batch [1249]/[1880] Speed: 194.890289 samples/sec accuracy=33.353750 loss=2.971892 lr=0.009989 Epoch[027] Batch [1299]/[1880] Speed: 177.913620 samples/sec accuracy=33.365986 loss=2.971754 lr=0.009989 Epoch[027] Batch [1349]/[1880] Speed: 176.710603 samples/sec accuracy=33.377315 loss=2.970647 lr=0.009988 Epoch[027] Batch [1399]/[1880] Speed: 200.907801 samples/sec accuracy=33.426339 loss=2.969788 lr=0.009988 Epoch[027] Batch [1449]/[1880] Speed: 185.494193 samples/sec accuracy=33.412716 loss=2.970716 lr=0.009988 Epoch[027] Batch [1499]/[1880] Speed: 188.473496 samples/sec accuracy=33.391667 loss=2.971315 lr=0.009988 Epoch[027] Batch [1549]/[1880] Speed: 184.104996 samples/sec accuracy=33.394153 loss=2.970483 lr=0.009988 Epoch[027] Batch [1599]/[1880] Speed: 176.676836 samples/sec accuracy=33.417969 loss=2.970142 lr=0.009988 Epoch[027] Batch [1649]/[1880] Speed: 200.120280 samples/sec accuracy=33.387311 loss=2.970476 lr=0.009987 Epoch[027] Batch [1699]/[1880] Speed: 183.092989 samples/sec accuracy=33.385570 loss=2.971145 lr=0.009987 Epoch[027] Batch [1749]/[1880] Speed: 176.042862 samples/sec accuracy=33.377679 loss=2.971997 lr=0.009987 Epoch[027] Batch [1799]/[1880] Speed: 202.512955 samples/sec accuracy=33.387153 loss=2.970947 lr=0.009987 Epoch[027] Batch [1849]/[1880] Speed: 170.583341 samples/sec accuracy=33.374578 loss=2.972854 lr=0.009987 Batch [0049]/[0151]: acc-top1=29.656250 acc-top5=55.453125 Batch [0099]/[0151]: acc-top1=33.734375 acc-top5=59.000000 Batch [0149]/[0151]: acc-top1=32.781250 acc-top5=58.947917 [Epoch 027] training: accuracy=33.376413 loss=2.972833 [Epoch 027] speed: 184 samples/sec time cost: 1422.622888 [Epoch 027] validation: acc-top1=32.771109 acc-top5=58.873137 loss=3.026363 Epoch[028] Batch [0049]/[1880] Speed: 135.084190 samples/sec accuracy=34.843750 loss=2.865180 lr=0.009986 Epoch[028] Batch [0099]/[1880] Speed: 195.348651 samples/sec accuracy=35.000000 loss=2.872178 lr=0.009986 Epoch[028] Batch [0149]/[1880] Speed: 167.035556 samples/sec accuracy=34.880208 loss=2.887857 lr=0.009986 Epoch[028] Batch [0199]/[1880] Speed: 201.338167 samples/sec accuracy=34.937500 loss=2.896195 lr=0.009986 Epoch[028] Batch [0249]/[1880] Speed: 174.548830 samples/sec accuracy=34.671875 loss=2.904999 lr=0.009986 Epoch[028] Batch [0299]/[1880] Speed: 190.703259 samples/sec accuracy=34.796875 loss=2.902023 lr=0.009985 Epoch[028] Batch [0349]/[1880] Speed: 196.152499 samples/sec accuracy=34.754464 loss=2.907304 lr=0.009985 Epoch[028] Batch [0399]/[1880] Speed: 165.369563 samples/sec accuracy=34.583984 loss=2.914160 lr=0.009985 Epoch[028] Batch [0449]/[1880] Speed: 198.219799 samples/sec accuracy=34.612847 loss=2.910131 lr=0.009985 Epoch[028] Batch [0499]/[1880] Speed: 179.952892 samples/sec accuracy=34.571875 loss=2.915014 lr=0.009985 Epoch[028] Batch [0549]/[1880] Speed: 188.816525 samples/sec accuracy=34.518466 loss=2.915819 lr=0.009985 Epoch[028] Batch [0599]/[1880] Speed: 189.007727 samples/sec accuracy=34.561198 loss=2.912673 lr=0.009984 Epoch[028] Batch [0649]/[1880] Speed: 175.453261 samples/sec accuracy=34.588942 loss=2.912617 lr=0.009984 Epoch[028] Batch [0699]/[1880] Speed: 199.364197 samples/sec accuracy=34.598214 loss=2.912692 lr=0.009984 Epoch[028] Batch [0749]/[1880] Speed: 182.652506 samples/sec accuracy=34.633333 loss=2.911623 lr=0.009984 Epoch[028] Batch [0799]/[1880] Speed: 169.919880 samples/sec accuracy=34.611328 loss=2.913478 lr=0.009984 Epoch[028] Batch [0849]/[1880] Speed: 200.465076 samples/sec accuracy=34.603860 loss=2.914043 lr=0.009983 Epoch[028] Batch [0899]/[1880] Speed: 184.268073 samples/sec accuracy=34.578125 loss=2.915181 lr=0.009983 Epoch[028] Batch [0949]/[1880] Speed: 185.352429 samples/sec accuracy=34.544408 loss=2.915687 lr=0.009983 Epoch[028] Batch [0999]/[1880] Speed: 177.093953 samples/sec accuracy=34.585938 loss=2.914066 lr=0.009983 Epoch[028] Batch [1049]/[1880] Speed: 184.150068 samples/sec accuracy=34.543155 loss=2.917249 lr=0.009983 Epoch[028] Batch [1099]/[1880] Speed: 202.582940 samples/sec accuracy=34.514915 loss=2.918447 lr=0.009982 Epoch[028] Batch [1149]/[1880] Speed: 178.900055 samples/sec accuracy=34.483696 loss=2.921763 lr=0.009982 Epoch[028] Batch [1199]/[1880] Speed: 181.850704 samples/sec accuracy=34.484375 loss=2.921367 lr=0.009982 Epoch[028] Batch [1249]/[1880] Speed: 176.316819 samples/sec accuracy=34.528125 loss=2.920377 lr=0.009982 Epoch[028] Batch [1299]/[1880] Speed: 189.853823 samples/sec accuracy=34.532452 loss=2.920341 lr=0.009982 Epoch[028] Batch [1349]/[1880] Speed: 194.691615 samples/sec accuracy=34.509838 loss=2.919599 lr=0.009981 Epoch[028] Batch [1399]/[1880] Speed: 181.405139 samples/sec accuracy=34.496652 loss=2.919260 lr=0.009981 Epoch[028] Batch [1449]/[1880] Speed: 181.580408 samples/sec accuracy=34.473599 loss=2.920222 lr=0.009981 Epoch[028] Batch [1499]/[1880] Speed: 191.032414 samples/sec accuracy=34.480208 loss=2.919648 lr=0.009981 Epoch[028] Batch [1549]/[1880] Speed: 170.810958 samples/sec accuracy=34.496472 loss=2.919826 lr=0.009980 Epoch[028] Batch [1599]/[1880] Speed: 204.446763 samples/sec accuracy=34.455566 loss=2.921128 lr=0.009980 Epoch[028] Batch [1649]/[1880] Speed: 176.536690 samples/sec accuracy=34.440814 loss=2.921483 lr=0.009980 Epoch[028] Batch [1699]/[1880] Speed: 195.078644 samples/sec accuracy=34.428309 loss=2.921531 lr=0.009980 Epoch[028] Batch [1749]/[1880] Speed: 182.256729 samples/sec accuracy=34.418304 loss=2.921185 lr=0.009980 Epoch[028] Batch [1799]/[1880] Speed: 175.495637 samples/sec accuracy=34.436198 loss=2.919891 lr=0.009979 Epoch[028] Batch [1849]/[1880] Speed: 204.723819 samples/sec accuracy=34.434966 loss=2.919299 lr=0.009979 Batch [0049]/[0151]: acc-top1=33.187500 acc-top5=59.203125 Batch [0099]/[0151]: acc-top1=36.351562 acc-top5=61.468750 Batch [0149]/[0151]: acc-top1=34.869792 acc-top5=61.338542 [Epoch 028] training: accuracy=34.441905 loss=2.919288 [Epoch 028] speed: 184 samples/sec time cost: 1423.635471 [Epoch 028] validation: acc-top1=34.830298 acc-top5=61.299669 loss=2.891845 Epoch[029] Batch [0049]/[1879] Speed: 133.811226 samples/sec accuracy=35.781250 loss=2.824802 lr=0.009979 Epoch[029] Batch [0099]/[1879] Speed: 198.801663 samples/sec accuracy=35.804688 loss=2.828562 lr=0.009979 Epoch[029] Batch [0149]/[1879] Speed: 163.746846 samples/sec accuracy=35.833333 loss=2.827131 lr=0.009978 Epoch[029] Batch [0199]/[1879] Speed: 206.171746 samples/sec accuracy=35.679688 loss=2.834868 lr=0.009978 Epoch[029] Batch [0249]/[1879] Speed: 186.186755 samples/sec accuracy=35.503125 loss=2.839399 lr=0.009978 Epoch[029] Batch [0299]/[1879] Speed: 184.358508 samples/sec accuracy=35.484375 loss=2.847700 lr=0.009978 Epoch[029] Batch [0349]/[1879] Speed: 173.213957 samples/sec accuracy=35.254464 loss=2.854676 lr=0.009977 Epoch[029] Batch [0399]/[1879] Speed: 196.258709 samples/sec accuracy=35.251953 loss=2.854704 lr=0.009977 Epoch[029] Batch [0449]/[1879] Speed: 195.362132 samples/sec accuracy=35.295139 loss=2.856065 lr=0.009977 Epoch[029] Batch [0499]/[1879] Speed: 174.116455 samples/sec accuracy=35.250000 loss=2.858269 lr=0.009977 Epoch[029] Batch [0549]/[1879] Speed: 199.581799 samples/sec accuracy=35.345170 loss=2.856341 lr=0.009977 Epoch[029] Batch [0599]/[1879] Speed: 175.583760 samples/sec accuracy=35.348958 loss=2.855982 lr=0.009976 Epoch[029] Batch [0649]/[1879] Speed: 200.020472 samples/sec accuracy=35.360577 loss=2.856465 lr=0.009976 Epoch[029] Batch [0699]/[1879] Speed: 171.320089 samples/sec accuracy=35.439732 loss=2.854928 lr=0.009976 Epoch[029] Batch [0749]/[1879] Speed: 193.319097 samples/sec accuracy=35.433333 loss=2.856335 lr=0.009976 Epoch[029] Batch [0799]/[1879] Speed: 192.142306 samples/sec accuracy=35.434570 loss=2.857317 lr=0.009975 Epoch[029] Batch [0849]/[1879] Speed: 182.342201 samples/sec accuracy=35.375919 loss=2.861266 lr=0.009975 Epoch[029] Batch [0899]/[1879] Speed: 179.805123 samples/sec accuracy=35.341146 loss=2.863485 lr=0.009975 Epoch[029] Batch [0949]/[1879] Speed: 200.671948 samples/sec accuracy=35.314145 loss=2.863893 lr=0.009975 Epoch[029] Batch [0999]/[1879] Speed: 169.136145 samples/sec accuracy=35.322656 loss=2.863716 lr=0.009974 Epoch[029] Batch [1049]/[1879] Speed: 201.561933 samples/sec accuracy=35.320685 loss=2.864674 lr=0.009974 Epoch[029] Batch [1099]/[1879] Speed: 169.483208 samples/sec accuracy=35.343040 loss=2.864076 lr=0.009974 Epoch[029] Batch [1149]/[1879] Speed: 203.390028 samples/sec accuracy=35.351902 loss=2.864813 lr=0.009974 Epoch[029] Batch [1199]/[1879] Speed: 173.846811 samples/sec accuracy=35.336589 loss=2.865403 lr=0.009973 Epoch[029] Batch [1249]/[1879] Speed: 183.853726 samples/sec accuracy=35.356875 loss=2.865167 lr=0.009973 Epoch[029] Batch [1299]/[1879] Speed: 190.783969 samples/sec accuracy=35.355769 loss=2.864788 lr=0.009973 Epoch[029] Batch [1349]/[1879] Speed: 179.111175 samples/sec accuracy=35.334491 loss=2.865356 lr=0.009973 Epoch[029] Batch [1399]/[1879] Speed: 188.472202 samples/sec accuracy=35.331473 loss=2.864959 lr=0.009972 Epoch[029] Batch [1449]/[1879] Speed: 187.449265 samples/sec accuracy=35.319504 loss=2.866000 lr=0.009972 Epoch[029] Batch [1499]/[1879] Speed: 194.161777 samples/sec accuracy=35.296875 loss=2.867485 lr=0.009972 Epoch[029] Batch [1549]/[1879] Speed: 175.584654 samples/sec accuracy=35.285786 loss=2.869013 lr=0.009972 Epoch[029] Batch [1599]/[1879] Speed: 186.004364 samples/sec accuracy=35.300781 loss=2.867971 lr=0.009971 Epoch[029] Batch [1649]/[1879] Speed: 184.704154 samples/sec accuracy=35.286458 loss=2.868771 lr=0.009971 Epoch[029] Batch [1699]/[1879] Speed: 199.242231 samples/sec accuracy=35.278033 loss=2.868712 lr=0.009971 Epoch[029] Batch [1749]/[1879] Speed: 174.145258 samples/sec accuracy=35.286161 loss=2.868868 lr=0.009971 Epoch[029] Batch [1799]/[1879] Speed: 188.557772 samples/sec accuracy=35.277778 loss=2.869212 lr=0.009970 Epoch[029] Batch [1849]/[1879] Speed: 188.881257 samples/sec accuracy=35.266892 loss=2.869417 lr=0.009970 Batch [0049]/[0151]: acc-top1=31.828125 acc-top5=57.375000 Batch [0099]/[0151]: acc-top1=35.976562 acc-top5=61.039062 Batch [0149]/[0151]: acc-top1=34.947917 acc-top5=61.500000 [Epoch 029] training: accuracy=35.274747 loss=2.869081 [Epoch 029] speed: 184 samples/sec time cost: 1418.091405 [Epoch 029] validation: acc-top1=34.959644 acc-top5=61.480753 loss=2.892898 Epoch[030] Batch [0049]/[1880] Speed: 134.384259 samples/sec accuracy=36.703125 loss=2.806138 lr=0.009970 Epoch[030] Batch [0099]/[1880] Speed: 186.278758 samples/sec accuracy=36.085938 loss=2.829339 lr=0.009969 Epoch[030] Batch [0149]/[1880] Speed: 190.672414 samples/sec accuracy=36.234375 loss=2.820487 lr=0.009969 Epoch[030] Batch [0199]/[1880] Speed: 180.838967 samples/sec accuracy=36.218750 loss=2.814430 lr=0.009969 Epoch[030] Batch [0249]/[1880] Speed: 190.624908 samples/sec accuracy=36.284375 loss=2.812699 lr=0.009969 Epoch[030] Batch [0299]/[1880] Speed: 193.165122 samples/sec accuracy=36.260417 loss=2.811412 lr=0.009968 Epoch[030] Batch [0349]/[1880] Speed: 176.283849 samples/sec accuracy=36.247768 loss=2.810199 lr=0.009968 Epoch[030] Batch [0399]/[1880] Speed: 189.772181 samples/sec accuracy=36.304688 loss=2.808364 lr=0.009968 Epoch[030] Batch [0449]/[1880] Speed: 177.884142 samples/sec accuracy=36.428819 loss=2.806619 lr=0.009967 Epoch[030] Batch [0499]/[1880] Speed: 200.153992 samples/sec accuracy=36.401563 loss=2.806467 lr=0.009967 Epoch[030] Batch [0549]/[1880] Speed: 173.644157 samples/sec accuracy=36.436080 loss=2.805447 lr=0.009967 Epoch[030] Batch [0599]/[1880] Speed: 185.862842 samples/sec accuracy=36.307292 loss=2.813164 lr=0.009967 Epoch[030] Batch [0649]/[1880] Speed: 202.200342 samples/sec accuracy=36.236779 loss=2.816809 lr=0.009966 Epoch[030] Batch [0699]/[1880] Speed: 165.790545 samples/sec accuracy=36.266741 loss=2.814713 lr=0.009966 Epoch[030] Batch [0749]/[1880] Speed: 205.560529 samples/sec accuracy=36.238542 loss=2.819003 lr=0.009966 Epoch[030] Batch [0799]/[1880] Speed: 183.668514 samples/sec accuracy=36.178711 loss=2.821903 lr=0.009965 Epoch[030] Batch [0849]/[1880] Speed: 181.220640 samples/sec accuracy=36.158088 loss=2.823746 lr=0.009965 Epoch[030] Batch [0899]/[1880] Speed: 192.761025 samples/sec accuracy=36.175347 loss=2.823229 lr=0.009965 Epoch[030] Batch [0949]/[1880] Speed: 169.667781 samples/sec accuracy=36.204770 loss=2.822494 lr=0.009965 Epoch[030] Batch [0999]/[1880] Speed: 197.184426 samples/sec accuracy=36.212500 loss=2.821240 lr=0.009964 Epoch[030] Batch [1049]/[1880] Speed: 178.791887 samples/sec accuracy=36.227679 loss=2.819253 lr=0.009964 Epoch[030] Batch [1099]/[1880] Speed: 199.525277 samples/sec accuracy=36.208807 loss=2.818404 lr=0.009964 Epoch[030] Batch [1149]/[1880] Speed: 172.981433 samples/sec accuracy=36.234375 loss=2.817803 lr=0.009963 Epoch[030] Batch [1199]/[1880] Speed: 193.876357 samples/sec accuracy=36.233724 loss=2.818130 lr=0.009963 Epoch[030] Batch [1249]/[1880] Speed: 180.893512 samples/sec accuracy=36.230625 loss=2.818763 lr=0.009963 Epoch[030] Batch [1299]/[1880] Speed: 186.740829 samples/sec accuracy=36.172476 loss=2.821472 lr=0.009963 Epoch[030] Batch [1349]/[1880] Speed: 200.743705 samples/sec accuracy=36.175926 loss=2.821992 lr=0.009962 Epoch[030] Batch [1399]/[1880] Speed: 166.555787 samples/sec accuracy=36.170201 loss=2.822682 lr=0.009962 Epoch[030] Batch [1449]/[1880] Speed: 206.886356 samples/sec accuracy=36.208513 loss=2.821165 lr=0.009962 Epoch[030] Batch [1499]/[1880] Speed: 168.313258 samples/sec accuracy=36.194271 loss=2.821313 lr=0.009961 Epoch[030] Batch [1549]/[1880] Speed: 197.624457 samples/sec accuracy=36.151714 loss=2.822934 lr=0.009961 Epoch[030] Batch [1599]/[1880] Speed: 175.148869 samples/sec accuracy=36.146973 loss=2.822506 lr=0.009961 Epoch[030] Batch [1649]/[1880] Speed: 201.281420 samples/sec accuracy=36.158617 loss=2.821893 lr=0.009960 Epoch[030] Batch [1699]/[1880] Speed: 183.107299 samples/sec accuracy=36.179228 loss=2.821423 lr=0.009960 Epoch[030] Batch [1749]/[1880] Speed: 175.490900 samples/sec accuracy=36.162946 loss=2.822050 lr=0.009960 Epoch[030] Batch [1799]/[1880] Speed: 194.632241 samples/sec accuracy=36.153212 loss=2.823681 lr=0.009960 Epoch[030] Batch [1849]/[1880] Speed: 174.902430 samples/sec accuracy=36.165541 loss=2.823193 lr=0.009959 Batch [0049]/[0151]: acc-top1=34.125000 acc-top5=59.796875 Batch [0099]/[0151]: acc-top1=36.453125 acc-top5=61.984375 Batch [0149]/[0151]: acc-top1=35.661458 acc-top5=62.182292 [Epoch 030] training: accuracy=36.166057 loss=2.823214 [Epoch 030] speed: 184 samples/sec time cost: 1419.920814 [Epoch 030] validation: acc-top1=35.564983 acc-top5=62.086093 loss=2.849744 Epoch[031] Batch [0049]/[1880] Speed: 134.425227 samples/sec accuracy=36.718750 loss=2.783850 lr=0.009959 Epoch[031] Batch [0099]/[1880] Speed: 184.860252 samples/sec accuracy=36.531250 loss=2.796949 lr=0.009958 Epoch[031] Batch [0149]/[1880] Speed: 196.034969 samples/sec accuracy=36.635417 loss=2.784789 lr=0.009958 Epoch[031] Batch [0199]/[1880] Speed: 176.154679 samples/sec accuracy=36.761719 loss=2.774973 lr=0.009958 Epoch[031] Batch [0249]/[1880] Speed: 203.966470 samples/sec accuracy=36.871875 loss=2.777634 lr=0.009957 Epoch[031] Batch [0299]/[1880] Speed: 168.037176 samples/sec accuracy=36.838542 loss=2.781178 lr=0.009957 Epoch[031] Batch [0349]/[1880] Speed: 200.463752 samples/sec accuracy=36.926339 loss=2.778371 lr=0.009957 Epoch[031] Batch [0399]/[1880] Speed: 169.946628 samples/sec accuracy=36.955078 loss=2.776628 lr=0.009957 Epoch[031] Batch [0449]/[1880] Speed: 209.175037 samples/sec accuracy=36.986111 loss=2.777540 lr=0.009956 Epoch[031] Batch [0499]/[1880] Speed: 180.791503 samples/sec accuracy=37.010938 loss=2.775922 lr=0.009956 Epoch[031] Batch [0549]/[1880] Speed: 189.416922 samples/sec accuracy=36.943182 loss=2.778145 lr=0.009956 Epoch[031] Batch [0599]/[1880] Speed: 176.225538 samples/sec accuracy=36.957031 loss=2.778472 lr=0.009955 Epoch[031] Batch [0649]/[1880] Speed: 197.587083 samples/sec accuracy=36.920673 loss=2.777468 lr=0.009955 Epoch[031] Batch [0699]/[1880] Speed: 177.480037 samples/sec accuracy=36.866071 loss=2.780970 lr=0.009955 Epoch[031] Batch [0749]/[1880] Speed: 180.739228 samples/sec accuracy=36.867708 loss=2.782562 lr=0.009954 Epoch[031] Batch [0799]/[1880] Speed: 196.600683 samples/sec accuracy=36.912109 loss=2.782245 lr=0.009954 Epoch[031] Batch [0849]/[1880] Speed: 190.935603 samples/sec accuracy=36.896140 loss=2.782059 lr=0.009954 Epoch[031] Batch [0899]/[1880] Speed: 179.429970 samples/sec accuracy=36.860243 loss=2.783906 lr=0.009953 Epoch[031] Batch [0949]/[1880] Speed: 197.017722 samples/sec accuracy=36.877467 loss=2.783993 lr=0.009953 Epoch[031] Batch [0999]/[1880] Speed: 180.986643 samples/sec accuracy=36.860156 loss=2.786015 lr=0.009953 Epoch[031] Batch [1049]/[1880] Speed: 183.090616 samples/sec accuracy=36.880208 loss=2.785826 lr=0.009952 Epoch[031] Batch [1099]/[1880] Speed: 172.926279 samples/sec accuracy=36.902699 loss=2.786076 lr=0.009952 Epoch[031] Batch [1149]/[1880] Speed: 204.893224 samples/sec accuracy=36.896060 loss=2.787258 lr=0.009952 Epoch[031] Batch [1199]/[1880] Speed: 188.706009 samples/sec accuracy=36.913411 loss=2.785802 lr=0.009951 Epoch[031] Batch [1249]/[1880] Speed: 172.762108 samples/sec accuracy=36.873125 loss=2.786866 lr=0.009951 Epoch[031] Batch [1299]/[1880] Speed: 199.483906 samples/sec accuracy=36.878005 loss=2.786489 lr=0.009951 Epoch[031] Batch [1349]/[1880] Speed: 166.970744 samples/sec accuracy=36.866319 loss=2.786881 lr=0.009950 Epoch[031] Batch [1399]/[1880] Speed: 205.282650 samples/sec accuracy=36.891741 loss=2.786010 lr=0.009950 Epoch[031] Batch [1449]/[1880] Speed: 179.054952 samples/sec accuracy=36.857759 loss=2.788276 lr=0.009950 Epoch[031] Batch [1499]/[1880] Speed: 195.750461 samples/sec accuracy=36.877604 loss=2.787933 lr=0.009949 Epoch[031] Batch [1549]/[1880] Speed: 189.121127 samples/sec accuracy=36.887601 loss=2.787123 lr=0.009949 Epoch[031] Batch [1599]/[1880] Speed: 178.718852 samples/sec accuracy=36.877930 loss=2.787465 lr=0.009948 Epoch[031] Batch [1649]/[1880] Speed: 186.633300 samples/sec accuracy=36.901515 loss=2.788295 lr=0.009948 Epoch[031] Batch [1699]/[1880] Speed: 197.249168 samples/sec accuracy=36.866268 loss=2.788824 lr=0.009948 Epoch[031] Batch [1749]/[1880] Speed: 162.870124 samples/sec accuracy=36.887054 loss=2.787814 lr=0.009947 Epoch[031] Batch [1799]/[1880] Speed: 200.828645 samples/sec accuracy=36.890191 loss=2.788155 lr=0.009947 Epoch[031] Batch [1849]/[1880] Speed: 186.345536 samples/sec accuracy=36.902027 loss=2.788119 lr=0.009947 Batch [0049]/[0151]: acc-top1=34.812500 acc-top5=60.015625 Batch [0099]/[0151]: acc-top1=37.671875 acc-top5=62.843750 Batch [0149]/[0151]: acc-top1=36.416667 acc-top5=63.119792 [Epoch 031] training: accuracy=36.899102 loss=2.788451 [Epoch 031] speed: 184 samples/sec time cost: 1417.413950 [Epoch 031] validation: acc-top1=36.403146 acc-top5=63.115687 loss=2.809298 Epoch[032] Batch [0049]/[1880] Speed: 134.861437 samples/sec accuracy=38.015625 loss=2.707019 lr=0.009946 Epoch[032] Batch [0099]/[1880] Speed: 186.210500 samples/sec accuracy=37.851562 loss=2.718522 lr=0.009946 Epoch[032] Batch [0149]/[1880] Speed: 194.436167 samples/sec accuracy=37.500000 loss=2.726038 lr=0.009945 Epoch[032] Batch [0199]/[1880] Speed: 181.247695 samples/sec accuracy=37.644531 loss=2.726763 lr=0.009945 Epoch[032] Batch [0249]/[1880] Speed: 181.329252 samples/sec accuracy=37.746875 loss=2.721677 lr=0.009945 Epoch[032] Batch [0299]/[1880] Speed: 181.373117 samples/sec accuracy=37.859375 loss=2.725568 lr=0.009944 Epoch[032] Batch [0349]/[1880] Speed: 197.041650 samples/sec accuracy=37.714286 loss=2.735534 lr=0.009944 Epoch[032] Batch [0399]/[1880] Speed: 182.523739 samples/sec accuracy=37.720703 loss=2.730000 lr=0.009944 Epoch[032] Batch [0449]/[1880] Speed: 183.066313 samples/sec accuracy=37.750000 loss=2.729656 lr=0.009943 Epoch[032] Batch [0499]/[1880] Speed: 194.641069 samples/sec accuracy=37.767187 loss=2.731780 lr=0.009943 Epoch[032] Batch [0549]/[1880] Speed: 172.229050 samples/sec accuracy=37.732955 loss=2.733204 lr=0.009943 Epoch[032] Batch [0599]/[1880] Speed: 193.375865 samples/sec accuracy=37.720052 loss=2.734559 lr=0.009942 Epoch[032] Batch [0649]/[1880] Speed: 201.222909 samples/sec accuracy=37.753606 loss=2.736066 lr=0.009942 Epoch[032] Batch [0699]/[1880] Speed: 172.800364 samples/sec accuracy=37.776786 loss=2.735778 lr=0.009941 Epoch[032] Batch [0749]/[1880] Speed: 195.835743 samples/sec accuracy=37.813542 loss=2.736174 lr=0.009941 Epoch[032] Batch [0799]/[1880] Speed: 172.174580 samples/sec accuracy=37.845703 loss=2.734485 lr=0.009941 Epoch[032] Batch [0849]/[1880] Speed: 198.316668 samples/sec accuracy=37.823529 loss=2.736444 lr=0.009940 Epoch[032] Batch [0899]/[1880] Speed: 175.744211 samples/sec accuracy=37.795139 loss=2.737201 lr=0.009940 Epoch[032] Batch [0949]/[1880] Speed: 189.613114 samples/sec accuracy=37.704770 loss=2.740045 lr=0.009940 Epoch[032] Batch [0999]/[1880] Speed: 183.873421 samples/sec accuracy=37.702344 loss=2.740239 lr=0.009939 Epoch[032] Batch [1049]/[1880] Speed: 195.729807 samples/sec accuracy=37.662946 loss=2.741218 lr=0.009939 Epoch[032] Batch [1099]/[1880] Speed: 174.488000 samples/sec accuracy=37.656960 loss=2.743059 lr=0.009938 Epoch[032] Batch [1149]/[1880] Speed: 205.443700 samples/sec accuracy=37.670516 loss=2.743279 lr=0.009938 Epoch[032] Batch [1199]/[1880] Speed: 168.736892 samples/sec accuracy=37.670573 loss=2.744488 lr=0.009938 Epoch[032] Batch [1249]/[1880] Speed: 190.178107 samples/sec accuracy=37.672500 loss=2.745658 lr=0.009937 Epoch[032] Batch [1299]/[1880] Speed: 182.968432 samples/sec accuracy=37.652644 loss=2.745510 lr=0.009937 Epoch[032] Batch [1349]/[1880] Speed: 192.380199 samples/sec accuracy=37.637153 loss=2.746246 lr=0.009937 Epoch[032] Batch [1399]/[1880] Speed: 173.877803 samples/sec accuracy=37.646763 loss=2.746080 lr=0.009936 Epoch[032] Batch [1449]/[1880] Speed: 186.960865 samples/sec accuracy=37.676724 loss=2.745600 lr=0.009936 Epoch[032] Batch [1499]/[1880] Speed: 201.912750 samples/sec accuracy=37.689062 loss=2.745659 lr=0.009935 Epoch[032] Batch [1549]/[1880] Speed: 175.538836 samples/sec accuracy=37.671371 loss=2.746545 lr=0.009935 Epoch[032] Batch [1599]/[1880] Speed: 189.090673 samples/sec accuracy=37.681641 loss=2.746531 lr=0.009935 Epoch[032] Batch [1649]/[1880] Speed: 183.693407 samples/sec accuracy=37.687027 loss=2.747550 lr=0.009934 Epoch[032] Batch [1699]/[1880] Speed: 196.471040 samples/sec accuracy=37.682904 loss=2.746662 lr=0.009934 Epoch[032] Batch [1749]/[1880] Speed: 167.245602 samples/sec accuracy=37.692411 loss=2.746039 lr=0.009933 Epoch[032] Batch [1799]/[1880] Speed: 206.306051 samples/sec accuracy=37.704861 loss=2.745733 lr=0.009933 Epoch[032] Batch [1849]/[1880] Speed: 182.323603 samples/sec accuracy=37.701436 loss=2.746251 lr=0.009933 Batch [0049]/[0151]: acc-top1=34.656250 acc-top5=60.859375 Batch [0099]/[0151]: acc-top1=38.226562 acc-top5=63.921875 Batch [0149]/[0151]: acc-top1=37.338542 acc-top5=64.072917 [Epoch 032] training: accuracy=37.698221 loss=2.746917 [Epoch 032] speed: 184 samples/sec time cost: 1418.150218 [Epoch 032] validation: acc-top1=37.287873 acc-top5=64.052152 loss=2.758167 Epoch[033] Batch [0049]/[1880] Speed: 131.264300 samples/sec accuracy=38.234375 loss=2.668429 lr=0.009932 Epoch[033] Batch [0099]/[1880] Speed: 186.540368 samples/sec accuracy=38.421875 loss=2.674318 lr=0.009932 Epoch[033] Batch [0149]/[1880] Speed: 193.491527 samples/sec accuracy=38.744792 loss=2.679104 lr=0.009931 Epoch[033] Batch [0199]/[1880] Speed: 167.235417 samples/sec accuracy=38.765625 loss=2.675743 lr=0.009931 Epoch[033] Batch [0249]/[1880] Speed: 206.988270 samples/sec accuracy=38.812500 loss=2.678867 lr=0.009930 Epoch[033] Batch [0299]/[1880] Speed: 191.777355 samples/sec accuracy=38.593750 loss=2.683674 lr=0.009930 Epoch[033] Batch [0349]/[1880] Speed: 171.610816 samples/sec accuracy=38.580357 loss=2.691350 lr=0.009930 Epoch[033] Batch [0399]/[1880] Speed: 209.156196 samples/sec accuracy=38.576172 loss=2.691677 lr=0.009929 Epoch[033] Batch [0449]/[1880] Speed: 167.096212 samples/sec accuracy=38.503472 loss=2.695396 lr=0.009929 Epoch[033] Batch [0499]/[1880] Speed: 191.614813 samples/sec accuracy=38.429688 loss=2.699921 lr=0.009928 Epoch[033] Batch [0549]/[1880] Speed: 180.226676 samples/sec accuracy=38.413352 loss=2.703019 lr=0.009928 Epoch[033] Batch [0599]/[1880] Speed: 199.819884 samples/sec accuracy=38.380208 loss=2.702669 lr=0.009928 Epoch[033] Batch [0649]/[1880] Speed: 168.919446 samples/sec accuracy=38.388221 loss=2.702799 lr=0.009927 Epoch[033] Batch [0699]/[1880] Speed: 199.685332 samples/sec accuracy=38.358259 loss=2.704823 lr=0.009927 Epoch[033] Batch [0749]/[1880] Speed: 195.914528 samples/sec accuracy=38.372917 loss=2.704065 lr=0.009926 Epoch[033] Batch [0799]/[1880] Speed: 177.222065 samples/sec accuracy=38.420898 loss=2.702911 lr=0.009926 Epoch[033] Batch [0849]/[1880] Speed: 191.387774 samples/sec accuracy=38.453125 loss=2.703309 lr=0.009925 Epoch[033] Batch [0899]/[1880] Speed: 180.710007 samples/sec accuracy=38.452257 loss=2.704822 lr=0.009925 Epoch[033] Batch [0949]/[1880] Speed: 189.841708 samples/sec accuracy=38.444901 loss=2.705216 lr=0.009925 Epoch[033] Batch [0999]/[1880] Speed: 181.636794 samples/sec accuracy=38.517187 loss=2.701652 lr=0.009924 Epoch[033] Batch [1049]/[1880] Speed: 179.046262 samples/sec accuracy=38.505952 loss=2.701470 lr=0.009924 Epoch[033] Batch [1099]/[1880] Speed: 184.654998 samples/sec accuracy=38.471591 loss=2.702570 lr=0.009923 Epoch[033] Batch [1149]/[1880] Speed: 188.758844 samples/sec accuracy=38.449049 loss=2.701798 lr=0.009923 Epoch[033] Batch [1199]/[1880] Speed: 187.792840 samples/sec accuracy=38.456380 loss=2.702888 lr=0.009922 Epoch[033] Batch [1249]/[1880] Speed: 180.951384 samples/sec accuracy=38.441250 loss=2.704999 lr=0.009922 Epoch[033] Batch [1299]/[1880] Speed: 187.595573 samples/sec accuracy=38.442909 loss=2.703966 lr=0.009922 Epoch[033] Batch [1349]/[1880] Speed: 178.395811 samples/sec accuracy=38.454861 loss=2.703582 lr=0.009921 Epoch[033] Batch [1399]/[1880] Speed: 203.737135 samples/sec accuracy=38.434152 loss=2.703748 lr=0.009921 Epoch[033] Batch [1449]/[1880] Speed: 171.636670 samples/sec accuracy=38.414332 loss=2.704078 lr=0.009920 Epoch[033] Batch [1499]/[1880] Speed: 189.839157 samples/sec accuracy=38.427083 loss=2.703937 lr=0.009920 Epoch[033] Batch [1549]/[1880] Speed: 190.543997 samples/sec accuracy=38.407762 loss=2.705268 lr=0.009919 Epoch[033] Batch [1599]/[1880] Speed: 187.485055 samples/sec accuracy=38.395508 loss=2.705328 lr=0.009919 Epoch[033] Batch [1649]/[1880] Speed: 192.890271 samples/sec accuracy=38.342803 loss=2.708145 lr=0.009919 Epoch[033] Batch [1699]/[1880] Speed: 163.522176 samples/sec accuracy=38.354320 loss=2.708398 lr=0.009918 Epoch[033] Batch [1749]/[1880] Speed: 206.891420 samples/sec accuracy=38.362500 loss=2.709572 lr=0.009918 Epoch[033] Batch [1799]/[1880] Speed: 170.719264 samples/sec accuracy=38.361979 loss=2.710354 lr=0.009917 Epoch[033] Batch [1849]/[1880] Speed: 197.472733 samples/sec accuracy=38.342483 loss=2.710757 lr=0.009917 Batch [0049]/[0151]: acc-top1=33.875000 acc-top5=59.984375 Batch [0099]/[0151]: acc-top1=37.890625 acc-top5=63.335937 Batch [0149]/[0151]: acc-top1=37.041667 acc-top5=63.562500 [Epoch 033] training: accuracy=38.352726 loss=2.710155 [Epoch 033] speed: 184 samples/sec time cost: 1420.680752 [Epoch 033] validation: acc-top1=37.008485 acc-top5=63.508899 loss=2.782272 Epoch[034] Batch [0049]/[1879] Speed: 135.052361 samples/sec accuracy=39.375000 loss=2.653139 lr=0.009916 Epoch[034] Batch [0099]/[1879] Speed: 201.595216 samples/sec accuracy=38.984375 loss=2.666283 lr=0.009916 Epoch[034] Batch [0149]/[1879] Speed: 167.325276 samples/sec accuracy=39.375000 loss=2.657973 lr=0.009915 Epoch[034] Batch [0199]/[1879] Speed: 204.032208 samples/sec accuracy=39.390625 loss=2.649396 lr=0.009915 Epoch[034] Batch [0249]/[1879] Speed: 177.719723 samples/sec accuracy=39.325000 loss=2.656523 lr=0.009914 Epoch[034] Batch [0299]/[1879] Speed: 172.392621 samples/sec accuracy=39.140625 loss=2.664654 lr=0.009914 Epoch[034] Batch [0349]/[1879] Speed: 202.476062 samples/sec accuracy=39.171875 loss=2.669840 lr=0.009913 Epoch[034] Batch [0399]/[1879] Speed: 166.096655 samples/sec accuracy=39.164062 loss=2.670345 lr=0.009913 Epoch[034] Batch [0449]/[1879] Speed: 203.929884 samples/sec accuracy=39.152778 loss=2.671692 lr=0.009913 Epoch[034] Batch [0499]/[1879] Speed: 187.178401 samples/sec accuracy=39.121875 loss=2.669054 lr=0.009912 Epoch[034] Batch [0549]/[1879] Speed: 175.259756 samples/sec accuracy=39.186080 loss=2.667903 lr=0.009912 Epoch[034] Batch [0599]/[1879] Speed: 193.698775 samples/sec accuracy=39.203125 loss=2.665940 lr=0.009911 Epoch[034] Batch [0649]/[1879] Speed: 170.256686 samples/sec accuracy=39.158654 loss=2.667946 lr=0.009911 Epoch[034] Batch [0699]/[1879] Speed: 196.591655 samples/sec accuracy=39.190848 loss=2.667557 lr=0.009910 Epoch[034] Batch [0749]/[1879] Speed: 204.711491 samples/sec accuracy=39.185417 loss=2.667656 lr=0.009910 Epoch[034] Batch [0799]/[1879] Speed: 170.062732 samples/sec accuracy=39.109375 loss=2.669389 lr=0.009909 Epoch[034] Batch [0849]/[1879] Speed: 192.221624 samples/sec accuracy=39.107537 loss=2.667922 lr=0.009909 Epoch[034] Batch 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accuracy=39.008102 loss=2.674659 lr=0.009904 Epoch[034] Batch [1399]/[1879] Speed: 200.722926 samples/sec accuracy=38.998884 loss=2.675513 lr=0.009904 Epoch[034] Batch [1449]/[1879] Speed: 169.752041 samples/sec accuracy=39.017780 loss=2.675919 lr=0.009903 Epoch[034] Batch [1499]/[1879] Speed: 207.533551 samples/sec accuracy=39.001042 loss=2.676027 lr=0.009903 Epoch[034] Batch [1549]/[1879] Speed: 163.047091 samples/sec accuracy=39.007056 loss=2.675516 lr=0.009902 Epoch[034] Batch [1599]/[1879] Speed: 209.828114 samples/sec accuracy=38.975586 loss=2.676993 lr=0.009902 Epoch[034] Batch [1649]/[1879] Speed: 180.507927 samples/sec accuracy=38.950758 loss=2.678016 lr=0.009901 Epoch[034] Batch [1699]/[1879] Speed: 185.006888 samples/sec accuracy=38.935202 loss=2.678843 lr=0.009901 Epoch[034] Batch [1749]/[1879] Speed: 195.028937 samples/sec accuracy=38.938839 loss=2.678995 lr=0.009900 Epoch[034] Batch [1799]/[1879] Speed: 171.785025 samples/sec accuracy=38.943142 loss=2.678276 lr=0.009900 Epoch[034] Batch [1849]/[1879] Speed: 196.563661 samples/sec accuracy=38.921030 loss=2.679716 lr=0.009899 Batch [0049]/[0151]: acc-top1=35.203125 acc-top5=61.343750 Batch [0099]/[0151]: acc-top1=39.468750 acc-top5=64.578125 Batch [0149]/[0151]: acc-top1=38.442708 acc-top5=64.578125 [Epoch 034] training: accuracy=38.912819 loss=2.679596 [Epoch 034] speed: 184 samples/sec time cost: 1418.386647 [Epoch 034] validation: acc-top1=38.410596 acc-top5=64.554015 loss=2.724377 Epoch[035] Batch [0049]/[1880] Speed: 135.796725 samples/sec accuracy=40.500000 loss=2.613915 lr=0.009899 Epoch[035] Batch [0099]/[1880] Speed: 184.058642 samples/sec accuracy=40.585938 loss=2.613066 lr=0.009898 Epoch[035] Batch [0149]/[1880] Speed: 200.019989 samples/sec accuracy=40.588542 loss=2.599969 lr=0.009898 Epoch[035] Batch [0199]/[1880] Speed: 167.156590 samples/sec accuracy=40.312500 loss=2.611777 lr=0.009897 Epoch[035] Batch [0249]/[1880] Speed: 197.769967 samples/sec accuracy=40.265625 loss=2.616756 lr=0.009897 Epoch[035] Batch [0299]/[1880] Speed: 180.318635 samples/sec accuracy=40.273438 loss=2.611100 lr=0.009896 Epoch[035] Batch [0349]/[1880] Speed: 184.745650 samples/sec accuracy=40.283482 loss=2.610800 lr=0.009896 Epoch[035] Batch [0399]/[1880] Speed: 195.924300 samples/sec accuracy=40.257812 loss=2.612554 lr=0.009895 Epoch[035] Batch [0449]/[1880] Speed: 171.835916 samples/sec accuracy=40.250000 loss=2.612394 lr=0.009895 Epoch[035] Batch [0499]/[1880] Speed: 203.376350 samples/sec accuracy=40.181250 loss=2.617436 lr=0.009894 Epoch[035] Batch [0549]/[1880] Speed: 174.994904 samples/sec accuracy=40.088068 loss=2.621339 lr=0.009894 Epoch[035] Batch [0599]/[1880] Speed: 183.070903 samples/sec accuracy=40.117188 loss=2.621238 lr=0.009893 Epoch[035] Batch [0649]/[1880] Speed: 200.528051 samples/sec accuracy=40.055288 loss=2.627037 lr=0.009893 Epoch[035] Batch [0699]/[1880] Speed: 181.866965 samples/sec accuracy=40.010045 loss=2.626489 lr=0.009892 Epoch[035] Batch [0749]/[1880] Speed: 174.678820 samples/sec accuracy=39.975000 loss=2.631081 lr=0.009892 Epoch[035] Batch [0799]/[1880] Speed: 196.801625 samples/sec accuracy=39.937500 loss=2.630084 lr=0.009891 Epoch[035] Batch [0849]/[1880] Speed: 174.531770 samples/sec accuracy=39.931066 loss=2.630245 lr=0.009891 Epoch[035] Batch [0899]/[1880] Speed: 194.313239 samples/sec accuracy=39.871528 loss=2.632620 lr=0.009890 Epoch[035] Batch [0949]/[1880] Speed: 186.828934 samples/sec accuracy=39.828947 loss=2.635764 lr=0.009890 Epoch[035] Batch [0999]/[1880] Speed: 174.400396 samples/sec accuracy=39.800000 loss=2.636144 lr=0.009889 Epoch[035] Batch [1049]/[1880] Speed: 194.688206 samples/sec accuracy=39.785714 loss=2.636741 lr=0.009889 Epoch[035] Batch [1099]/[1880] Speed: 189.143994 samples/sec accuracy=39.802557 loss=2.636450 lr=0.009888 Epoch[035] Batch [1149]/[1880] Speed: 178.777091 samples/sec accuracy=39.745245 loss=2.639308 lr=0.009888 Epoch[035] Batch [1199]/[1880] Speed: 199.125597 samples/sec accuracy=39.774740 loss=2.639115 lr=0.009887 Epoch[035] Batch [1249]/[1880] Speed: 167.821561 samples/sec accuracy=39.771250 loss=2.639292 lr=0.009887 Epoch[035] Batch [1299]/[1880] Speed: 184.679778 samples/sec accuracy=39.740986 loss=2.640581 lr=0.009886 Epoch[035] Batch [1349]/[1880] Speed: 189.673498 samples/sec accuracy=39.704282 loss=2.641390 lr=0.009886 Epoch[035] Batch [1399]/[1880] Speed: 190.302870 samples/sec accuracy=39.669643 loss=2.642897 lr=0.009885 Epoch[035] Batch [1449]/[1880] Speed: 193.328023 samples/sec accuracy=39.650862 loss=2.643289 lr=0.009885 Epoch[035] Batch [1499]/[1880] Speed: 183.383863 samples/sec accuracy=39.647396 loss=2.643718 lr=0.009884 Epoch[035] Batch [1549]/[1880] Speed: 179.379392 samples/sec accuracy=39.644657 loss=2.643897 lr=0.009884 Epoch[035] Batch [1599]/[1880] Speed: 177.529342 samples/sec accuracy=39.650391 loss=2.644670 lr=0.009883 Epoch[035] Batch [1649]/[1880] Speed: 208.692308 samples/sec accuracy=39.631155 loss=2.646332 lr=0.009882 Epoch[035] Batch [1699]/[1880] Speed: 169.113767 samples/sec accuracy=39.617647 loss=2.647177 lr=0.009882 Epoch[035] Batch [1749]/[1880] Speed: 190.748039 samples/sec accuracy=39.597768 loss=2.648432 lr=0.009881 Epoch[035] Batch [1799]/[1880] Speed: 184.936130 samples/sec accuracy=39.600694 loss=2.647592 lr=0.009881 Epoch[035] Batch [1849]/[1880] Speed: 193.048883 samples/sec accuracy=39.573480 loss=2.649220 lr=0.009880 Batch [0049]/[0151]: acc-top1=35.421875 acc-top5=60.546875 Batch [0099]/[0151]: acc-top1=38.703125 acc-top5=63.742188 Batch [0149]/[0151]: acc-top1=37.864583 acc-top5=63.682292 [Epoch 035] training: accuracy=39.557430 loss=2.649738 [Epoch 035] speed: 184 samples/sec time cost: 1420.346558 [Epoch 035] validation: acc-top1=37.789735 acc-top5=63.622724 loss=2.768818 Epoch[036] Batch [0049]/[1880] Speed: 131.461549 samples/sec accuracy=40.859375 loss=2.587852 lr=0.009880 Epoch[036] Batch [0099]/[1880] Speed: 208.536200 samples/sec accuracy=40.164062 loss=2.602764 lr=0.009879 Epoch[036] Batch [0149]/[1880] Speed: 165.537314 samples/sec accuracy=40.161458 loss=2.606995 lr=0.009878 Epoch[036] Batch [0199]/[1880] Speed: 211.262084 samples/sec accuracy=40.171875 loss=2.612870 lr=0.009878 Epoch[036] Batch [0249]/[1880] Speed: 165.433946 samples/sec accuracy=40.162500 loss=2.610808 lr=0.009877 Epoch[036] Batch [0299]/[1880] Speed: 201.553048 samples/sec accuracy=40.169271 loss=2.603125 lr=0.009877 Epoch[036] Batch [0349]/[1880] Speed: 180.358837 samples/sec accuracy=40.162946 loss=2.606469 lr=0.009876 Epoch[036] Batch [0399]/[1880] Speed: 185.703592 samples/sec accuracy=40.289062 loss=2.604608 lr=0.009876 Epoch[036] Batch [0449]/[1880] Speed: 190.724930 samples/sec accuracy=40.326389 loss=2.601976 lr=0.009875 Epoch[036] Batch [0499]/[1880] Speed: 182.980027 samples/sec accuracy=40.337500 loss=2.602526 lr=0.009875 Epoch[036] Batch [0549]/[1880] Speed: 177.874072 samples/sec accuracy=40.389205 loss=2.601445 lr=0.009874 Epoch[036] Batch [0599]/[1880] Speed: 199.435349 samples/sec accuracy=40.308594 loss=2.603028 lr=0.009874 Epoch[036] Batch [0649]/[1880] Speed: 177.391943 samples/sec accuracy=40.265625 loss=2.605311 lr=0.009873 Epoch[036] Batch [0699]/[1880] Speed: 185.580606 samples/sec accuracy=40.319196 loss=2.603622 lr=0.009873 Epoch[036] Batch [0749]/[1880] Speed: 191.188513 samples/sec accuracy=40.332292 loss=2.603382 lr=0.009872 Epoch[036] Batch [0799]/[1880] Speed: 174.784083 samples/sec accuracy=40.274414 loss=2.606163 lr=0.009871 Epoch[036] Batch [0849]/[1880] Speed: 183.359517 samples/sec accuracy=40.317096 loss=2.604370 lr=0.009871 Epoch[036] Batch [0899]/[1880] Speed: 192.406990 samples/sec accuracy=40.264757 loss=2.605809 lr=0.009870 Epoch[036] Batch [0949]/[1880] Speed: 170.603741 samples/sec accuracy=40.231908 loss=2.607850 lr=0.009870 Epoch[036] Batch [0999]/[1880] Speed: 190.056080 samples/sec accuracy=40.208594 loss=2.608642 lr=0.009869 Epoch[036] Batch [1049]/[1880] Speed: 201.279748 samples/sec accuracy=40.212798 loss=2.606437 lr=0.009869 Epoch[036] Batch [1099]/[1880] Speed: 170.141250 samples/sec accuracy=40.174716 loss=2.608121 lr=0.009868 Epoch[036] Batch [1149]/[1880] Speed: 203.196475 samples/sec accuracy=40.084918 loss=2.611725 lr=0.009868 Epoch[036] Batch [1199]/[1880] Speed: 178.720785 samples/sec accuracy=40.091146 loss=2.611548 lr=0.009867 Epoch[036] Batch [1249]/[1880] Speed: 186.351459 samples/sec accuracy=40.065000 loss=2.612654 lr=0.009866 Epoch[036] Batch [1299]/[1880] Speed: 177.201428 samples/sec accuracy=40.075721 loss=2.612325 lr=0.009866 Epoch[036] Batch [1349]/[1880] Speed: 199.377675 samples/sec accuracy=40.045139 loss=2.613264 lr=0.009865 Epoch[036] Batch [1399]/[1880] Speed: 174.552845 samples/sec accuracy=40.016741 loss=2.615042 lr=0.009865 Epoch[036] Batch [1449]/[1880] Speed: 185.283272 samples/sec accuracy=40.015086 loss=2.615257 lr=0.009864 Epoch[036] Batch [1499]/[1880] Speed: 202.029569 samples/sec accuracy=39.988021 loss=2.615017 lr=0.009864 Epoch[036] Batch [1549]/[1880] Speed: 182.264848 samples/sec accuracy=39.986391 loss=2.615677 lr=0.009863 Epoch[036] Batch [1599]/[1880] Speed: 183.318802 samples/sec accuracy=39.998047 loss=2.616529 lr=0.009863 Epoch[036] Batch [1649]/[1880] Speed: 191.198123 samples/sec accuracy=39.982481 loss=2.616890 lr=0.009862 Epoch[036] Batch [1699]/[1880] Speed: 177.155777 samples/sec accuracy=39.988511 loss=2.616188 lr=0.009861 Epoch[036] Batch [1749]/[1880] Speed: 201.595671 samples/sec accuracy=40.013839 loss=2.615872 lr=0.009861 Epoch[036] Batch [1799]/[1880] Speed: 178.841414 samples/sec accuracy=40.017361 loss=2.615190 lr=0.009860 Epoch[036] Batch [1849]/[1880] Speed: 192.321228 samples/sec accuracy=40.026182 loss=2.615485 lr=0.009860 Batch [0049]/[0151]: acc-top1=36.546875 acc-top5=62.687500 Batch [0099]/[0151]: acc-top1=39.859375 acc-top5=65.171875 Batch [0149]/[0151]: acc-top1=39.208333 acc-top5=65.348958 [Epoch 036] training: accuracy=40.015791 loss=2.616193 [Epoch 036] speed: 184 samples/sec time cost: 1420.381128 [Epoch 036] validation: acc-top1=39.176325 acc-top5=65.278353 loss=2.664457 Epoch[037] Batch [0049]/[1880] Speed: 131.422238 samples/sec accuracy=40.437500 loss=2.575354 lr=0.009859 Epoch[037] Batch [0099]/[1880] Speed: 207.440639 samples/sec accuracy=40.625000 loss=2.570290 lr=0.009858 Epoch[037] Batch [0149]/[1880] Speed: 171.235133 samples/sec accuracy=40.968750 loss=2.554430 lr=0.009858 Epoch[037] Batch [0199]/[1880] Speed: 193.296632 samples/sec accuracy=41.019531 loss=2.558586 lr=0.009857 Epoch[037] Batch [0249]/[1880] Speed: 188.991473 samples/sec accuracy=40.937500 loss=2.565382 lr=0.009856 Epoch[037] Batch [0299]/[1880] Speed: 174.582874 samples/sec accuracy=40.828125 loss=2.566805 lr=0.009856 Epoch[037] Batch [0349]/[1880] Speed: 201.188154 samples/sec accuracy=40.843750 loss=2.566001 lr=0.009855 Epoch[037] Batch [0399]/[1880] Speed: 183.296254 samples/sec accuracy=40.880859 loss=2.567002 lr=0.009855 Epoch[037] Batch [0449]/[1880] Speed: 171.233074 samples/sec accuracy=40.876736 loss=2.568742 lr=0.009854 Epoch[037] Batch [0499]/[1880] Speed: 206.430321 samples/sec accuracy=40.885938 loss=2.568959 lr=0.009854 Epoch[037] Batch [0549]/[1880] Speed: 171.464313 samples/sec accuracy=40.843750 loss=2.572447 lr=0.009853 Epoch[037] Batch [0599]/[1880] Speed: 196.626244 samples/sec accuracy=40.837240 loss=2.571919 lr=0.009852 Epoch[037] Batch [0649]/[1880] Speed: 185.273408 samples/sec accuracy=40.806490 loss=2.571125 lr=0.009852 Epoch[037] Batch [0699]/[1880] Speed: 176.362152 samples/sec accuracy=40.747768 loss=2.574765 lr=0.009851 Epoch[037] Batch [0749]/[1880] Speed: 191.157180 samples/sec accuracy=40.770833 loss=2.576186 lr=0.009851 Epoch[037] Batch [0799]/[1880] Speed: 186.104143 samples/sec accuracy=40.754883 loss=2.578444 lr=0.009850 Epoch[037] Batch [0849]/[1880] Speed: 187.067360 samples/sec accuracy=40.737132 loss=2.578056 lr=0.009849 Epoch[037] Batch [0899]/[1880] Speed: 186.130506 samples/sec accuracy=40.690972 loss=2.579727 lr=0.009849 Epoch[037] Batch [0949]/[1880] Speed: 182.933086 samples/sec accuracy=40.668586 loss=2.578781 lr=0.009848 Epoch[037] Batch [0999]/[1880] Speed: 199.997224 samples/sec accuracy=40.732031 loss=2.577403 lr=0.009848 Epoch[037] Batch [1049]/[1880] Speed: 176.706163 samples/sec accuracy=40.762649 loss=2.576520 lr=0.009847 Epoch[037] Batch [1099]/[1880] Speed: 186.847981 samples/sec accuracy=40.730114 loss=2.579719 lr=0.009846 Epoch[037] Batch [1149]/[1880] Speed: 187.288795 samples/sec accuracy=40.724864 loss=2.581609 lr=0.009846 Epoch[037] Batch [1199]/[1880] Speed: 182.299469 samples/sec accuracy=40.744141 loss=2.581216 lr=0.009845 Epoch[037] Batch [1249]/[1880] Speed: 193.941159 samples/sec accuracy=40.772500 loss=2.580205 lr=0.009845 Epoch[037] Batch [1299]/[1880] Speed: 182.440657 samples/sec accuracy=40.742788 loss=2.582239 lr=0.009844 Epoch[037] Batch [1349]/[1880] Speed: 190.710642 samples/sec accuracy=40.754630 loss=2.581932 lr=0.009843 Epoch[037] Batch [1399]/[1880] Speed: 180.644727 samples/sec accuracy=40.759487 loss=2.582344 lr=0.009843 Epoch[037] Batch [1449]/[1880] Speed: 185.514357 samples/sec accuracy=40.764547 loss=2.582230 lr=0.009842 Epoch[037] Batch [1499]/[1880] Speed: 186.255055 samples/sec accuracy=40.753646 loss=2.582346 lr=0.009842 Epoch[037] Batch [1549]/[1880] Speed: 187.082152 samples/sec accuracy=40.711694 loss=2.584034 lr=0.009841 Epoch[037] Batch [1599]/[1880] Speed: 183.284297 samples/sec accuracy=40.698730 loss=2.584273 lr=0.009840 Epoch[037] Batch [1649]/[1880] Speed: 194.422323 samples/sec accuracy=40.675189 loss=2.585531 lr=0.009840 Epoch[037] Batch [1699]/[1880] Speed: 164.160913 samples/sec accuracy=40.697151 loss=2.585557 lr=0.009839 Epoch[037] Batch [1749]/[1880] Speed: 208.219058 samples/sec accuracy=40.706250 loss=2.585729 lr=0.009839 Epoch[037] Batch [1799]/[1880] Speed: 180.213669 samples/sec accuracy=40.695747 loss=2.587511 lr=0.009838 Epoch[037] Batch [1849]/[1880] Speed: 190.324366 samples/sec accuracy=40.684122 loss=2.587324 lr=0.009837 Batch [0049]/[0151]: acc-top1=36.140625 acc-top5=62.921875 Batch [0099]/[0151]: acc-top1=40.109375 acc-top5=65.531250 Batch [0149]/[0151]: acc-top1=39.197917 acc-top5=65.651042 [Epoch 037] training: accuracy=40.698554 loss=2.587302 [Epoch 037] speed: 184 samples/sec time cost: 1417.335842 [Epoch 037] validation: acc-top1=39.176325 acc-top5=65.609478 loss=2.676981 Epoch[038] Batch [0049]/[1880] Speed: 129.135321 samples/sec accuracy=40.734375 loss=2.557762 lr=0.009836 Epoch[038] Batch [0099]/[1880] Speed: 204.894084 samples/sec accuracy=41.234375 loss=2.536422 lr=0.009836 Epoch[038] Batch [0149]/[1880] Speed: 192.721965 samples/sec accuracy=41.484375 loss=2.530912 lr=0.009835 Epoch[038] Batch [0199]/[1880] Speed: 170.250750 samples/sec accuracy=41.636719 loss=2.530798 lr=0.009835 Epoch[038] Batch [0249]/[1880] Speed: 199.452228 samples/sec accuracy=41.743750 loss=2.528562 lr=0.009834 Epoch[038] Batch [0299]/[1880] Speed: 177.982695 samples/sec accuracy=41.604167 loss=2.534132 lr=0.009833 Epoch[038] Batch [0349]/[1880] Speed: 182.789525 samples/sec accuracy=41.511161 loss=2.536112 lr=0.009833 Epoch[038] Batch [0399]/[1880] Speed: 195.669355 samples/sec accuracy=41.441406 loss=2.538442 lr=0.009832 Epoch[038] Batch [0449]/[1880] Speed: 184.418998 samples/sec accuracy=41.397569 loss=2.541005 lr=0.009831 Epoch[038] Batch [0499]/[1880] Speed: 183.553561 samples/sec accuracy=41.379688 loss=2.544065 lr=0.009831 Epoch[038] Batch [0549]/[1880] Speed: 187.966574 samples/sec accuracy=41.420455 loss=2.544055 lr=0.009830 Epoch[038] Batch [0599]/[1880] Speed: 177.818159 samples/sec accuracy=41.378906 loss=2.547587 lr=0.009830 Epoch[038] Batch [0649]/[1880] Speed: 195.340826 samples/sec accuracy=41.294471 loss=2.550650 lr=0.009829 Epoch[038] Batch [0699]/[1880] Speed: 180.767424 samples/sec accuracy=41.258929 loss=2.554209 lr=0.009828 Epoch[038] Batch [0749]/[1880] Speed: 182.697419 samples/sec accuracy=41.248958 loss=2.555189 lr=0.009828 Epoch[038] Batch [0799]/[1880] Speed: 182.858726 samples/sec accuracy=41.241211 loss=2.556073 lr=0.009827 Epoch[038] Batch [0849]/[1880] Speed: 196.264654 samples/sec accuracy=41.181066 loss=2.558631 lr=0.009826 Epoch[038] Batch [0899]/[1880] Speed: 188.048292 samples/sec accuracy=41.214410 loss=2.557904 lr=0.009826 Epoch[038] Batch [0949]/[1880] Speed: 182.429582 samples/sec accuracy=41.217928 loss=2.558149 lr=0.009825 Epoch[038] Batch [0999]/[1880] Speed: 193.559656 samples/sec accuracy=41.291406 loss=2.555221 lr=0.009825 Epoch[038] Batch [1049]/[1880] Speed: 168.216189 samples/sec accuracy=41.302083 loss=2.556589 lr=0.009824 Epoch[038] Batch [1099]/[1880] Speed: 201.585163 samples/sec accuracy=41.314631 loss=2.555522 lr=0.009823 Epoch[038] Batch [1149]/[1880] Speed: 186.506426 samples/sec accuracy=41.245245 loss=2.557508 lr=0.009823 Epoch[038] Batch [1199]/[1880] Speed: 176.463330 samples/sec accuracy=41.226562 loss=2.558868 lr=0.009822 Epoch[038] Batch [1249]/[1880] Speed: 203.348694 samples/sec accuracy=41.204375 loss=2.560033 lr=0.009821 Epoch[038] Batch [1299]/[1880] Speed: 168.087143 samples/sec accuracy=41.204327 loss=2.560426 lr=0.009821 Epoch[038] Batch [1349]/[1880] Speed: 193.076360 samples/sec accuracy=41.166088 loss=2.562191 lr=0.009820 Epoch[038] Batch [1399]/[1880] Speed: 186.481739 samples/sec accuracy=41.224330 loss=2.561145 lr=0.009819 Epoch[038] Batch [1449]/[1880] Speed: 183.638214 samples/sec accuracy=41.202586 loss=2.562139 lr=0.009819 Epoch[038] Batch [1499]/[1880] Speed: 184.787539 samples/sec accuracy=41.160417 loss=2.563632 lr=0.009818 Epoch[038] Batch [1549]/[1880] Speed: 184.816692 samples/sec accuracy=41.148185 loss=2.564589 lr=0.009817 Epoch[038] Batch [1599]/[1880] Speed: 186.270031 samples/sec accuracy=41.156250 loss=2.564272 lr=0.009817 Epoch[038] Batch [1649]/[1880] Speed: 196.428519 samples/sec accuracy=41.118371 loss=2.566417 lr=0.009816 Epoch[038] Batch [1699]/[1880] Speed: 170.668535 samples/sec accuracy=41.104320 loss=2.567269 lr=0.009815 Epoch[038] Batch [1749]/[1880] Speed: 202.091902 samples/sec accuracy=41.104911 loss=2.567928 lr=0.009815 Epoch[038] Batch [1799]/[1880] Speed: 176.364356 samples/sec accuracy=41.092882 loss=2.568784 lr=0.009814 Epoch[038] Batch [1849]/[1880] Speed: 194.416917 samples/sec accuracy=41.083193 loss=2.569364 lr=0.009813 Batch [0049]/[0151]: acc-top1=37.171875 acc-top5=63.343750 Batch [0099]/[0151]: acc-top1=41.171875 acc-top5=66.320312 Batch [0149]/[0151]: acc-top1=40.057292 acc-top5=65.973958 [Epoch 038] training: accuracy=41.075050 loss=2.570204 [Epoch 038] speed: 184 samples/sec time cost: 1417.519881 [Epoch 038] validation: acc-top1=40.019661 acc-top5=65.935430 loss=2.653584 Epoch[039] Batch [0049]/[1880] Speed: 135.164061 samples/sec accuracy=41.531250 loss=2.500378 lr=0.009812 Epoch[039] Batch [0099]/[1880] Speed: 184.869476 samples/sec accuracy=41.421875 loss=2.524770 lr=0.009812 Epoch[039] Batch [0149]/[1880] Speed: 181.583212 samples/sec accuracy=41.479167 loss=2.531826 lr=0.009811 Epoch[039] Batch [0199]/[1880] Speed: 188.640865 samples/sec accuracy=41.734375 loss=2.520082 lr=0.009810 Epoch[039] Batch [0249]/[1880] Speed: 189.042733 samples/sec accuracy=41.712500 loss=2.524834 lr=0.009810 Epoch[039] Batch [0299]/[1880] Speed: 187.231377 samples/sec accuracy=41.742188 loss=2.524043 lr=0.009809 Epoch[039] Batch [0349]/[1880] Speed: 184.730126 samples/sec accuracy=41.779018 loss=2.524889 lr=0.009808 Epoch[039] Batch [0399]/[1880] Speed: 185.054372 samples/sec accuracy=41.857422 loss=2.521662 lr=0.009808 Epoch[039] Batch [0449]/[1880] Speed: 190.506391 samples/sec accuracy=41.772569 loss=2.523649 lr=0.009807 Epoch[039] Batch [0499]/[1880] Speed: 174.476145 samples/sec accuracy=41.837500 loss=2.521081 lr=0.009806 Epoch[039] Batch [0549]/[1880] Speed: 187.299270 samples/sec accuracy=41.892045 loss=2.519710 lr=0.009806 Epoch[039] Batch [0599]/[1880] Speed: 190.154401 samples/sec accuracy=41.910156 loss=2.521399 lr=0.009805 Epoch[039] Batch [0649]/[1880] Speed: 175.963756 samples/sec accuracy=41.990385 loss=2.519661 lr=0.009804 Epoch[039] Batch [0699]/[1880] Speed: 197.916118 samples/sec accuracy=41.863839 loss=2.522786 lr=0.009804 Epoch[039] Batch [0749]/[1880] Speed: 185.831933 samples/sec accuracy=41.817708 loss=2.524619 lr=0.009803 Epoch[039] Batch [0799]/[1880] Speed: 185.359610 samples/sec accuracy=41.797852 loss=2.524596 lr=0.009802 Epoch[039] Batch [0849]/[1880] Speed: 176.027737 samples/sec accuracy=41.787684 loss=2.525442 lr=0.009802 Epoch[039] Batch [0899]/[1880] Speed: 195.901757 samples/sec accuracy=41.725694 loss=2.528619 lr=0.009801 Epoch[039] Batch [0949]/[1880] Speed: 185.633374 samples/sec accuracy=41.662007 loss=2.530613 lr=0.009800 Epoch[039] Batch [0999]/[1880] Speed: 174.265640 samples/sec accuracy=41.671875 loss=2.530027 lr=0.009800 Epoch[039] Batch [1049]/[1880] Speed: 194.523290 samples/sec accuracy=41.617560 loss=2.533834 lr=0.009799 Epoch[039] Batch [1099]/[1880] Speed: 182.928884 samples/sec accuracy=41.641335 loss=2.532879 lr=0.009798 Epoch[039] Batch [1149]/[1880] Speed: 191.359296 samples/sec accuracy=41.624321 loss=2.532993 lr=0.009798 Epoch[039] Batch [1199]/[1880] Speed: 172.412593 samples/sec accuracy=41.580078 loss=2.535040 lr=0.009797 Epoch[039] Batch [1249]/[1880] Speed: 199.353503 samples/sec accuracy=41.575000 loss=2.534701 lr=0.009796 Epoch[039] Batch [1299]/[1880] Speed: 189.278002 samples/sec accuracy=41.568510 loss=2.535192 lr=0.009796 Epoch[039] Batch [1349]/[1880] Speed: 179.865166 samples/sec accuracy=41.590856 loss=2.534743 lr=0.009795 Epoch[039] Batch [1399]/[1880] Speed: 192.548566 samples/sec accuracy=41.579241 loss=2.535770 lr=0.009794 Epoch[039] Batch [1449]/[1880] Speed: 170.270302 samples/sec accuracy=41.560884 loss=2.536049 lr=0.009794 Epoch[039] Batch [1499]/[1880] Speed: 192.194239 samples/sec accuracy=41.550000 loss=2.537074 lr=0.009793 Epoch[039] Batch [1549]/[1880] Speed: 198.589576 samples/sec accuracy=41.568044 loss=2.535452 lr=0.009792 Epoch[039] Batch [1599]/[1880] Speed: 180.926759 samples/sec accuracy=41.563477 loss=2.536533 lr=0.009791 Epoch[039] Batch [1649]/[1880] Speed: 177.888218 samples/sec accuracy=41.564394 loss=2.537829 lr=0.009791 Epoch[039] Batch [1699]/[1880] Speed: 192.557451 samples/sec accuracy=41.531250 loss=2.538812 lr=0.009790 Epoch[039] Batch [1749]/[1880] Speed: 195.076626 samples/sec accuracy=41.494643 loss=2.539273 lr=0.009789 Epoch[039] Batch [1799]/[1880] Speed: 170.574539 samples/sec accuracy=41.467014 loss=2.540458 lr=0.009789 Epoch[039] Batch [1849]/[1880] Speed: 193.906625 samples/sec accuracy=41.466639 loss=2.540562 lr=0.009788 Batch [0049]/[0151]: acc-top1=36.765625 acc-top5=63.468750 Batch [0099]/[0151]: acc-top1=40.921875 acc-top5=66.078125 Batch [0149]/[0151]: acc-top1=40.239583 acc-top5=66.197917 [Epoch 039] training: accuracy=41.467753 loss=2.540594 [Epoch 039] speed: 184 samples/sec time cost: 1419.966083 [Epoch 039] validation: acc-top1=40.216267 acc-top5=66.157906 loss=2.616333 Epoch[040] Batch [0049]/[1879] Speed: 133.842817 samples/sec accuracy=43.703125 loss=2.468194 lr=0.009787 Epoch[040] Batch [0099]/[1879] Speed: 188.078133 samples/sec accuracy=43.609375 loss=2.456416 lr=0.009786 Epoch[040] Batch [0149]/[1879] Speed: 183.836766 samples/sec accuracy=43.463542 loss=2.463597 lr=0.009785 Epoch[040] Batch [0199]/[1879] Speed: 189.900279 samples/sec accuracy=43.203125 loss=2.474597 lr=0.009785 Epoch[040] Batch [0249]/[1879] Speed: 180.626280 samples/sec accuracy=42.990625 loss=2.476044 lr=0.009784 Epoch[040] Batch [0299]/[1879] Speed: 201.455920 samples/sec accuracy=42.726562 loss=2.484803 lr=0.009783 Epoch[040] Batch [0349]/[1879] Speed: 167.679708 samples/sec accuracy=42.578125 loss=2.489848 lr=0.009783 Epoch[040] Batch [0399]/[1879] Speed: 196.440455 samples/sec accuracy=42.673828 loss=2.489208 lr=0.009782 Epoch[040] Batch [0449]/[1879] Speed: 166.350004 samples/sec accuracy=42.659722 loss=2.489525 lr=0.009781 Epoch[040] Batch [0499]/[1879] Speed: 199.041293 samples/sec accuracy=42.498438 loss=2.493657 lr=0.009780 Epoch[040] Batch [0549]/[1879] Speed: 191.242328 samples/sec accuracy=42.475852 loss=2.497477 lr=0.009780 Epoch[040] Batch [0599]/[1879] Speed: 170.545265 samples/sec accuracy=42.484375 loss=2.497754 lr=0.009779 Epoch[040] Batch [0649]/[1879] Speed: 199.937801 samples/sec accuracy=42.479567 loss=2.497935 lr=0.009778 Epoch[040] Batch [0699]/[1879] Speed: 183.736403 samples/sec accuracy=42.467634 loss=2.497575 lr=0.009778 Epoch[040] Batch [0749]/[1879] Speed: 180.661202 samples/sec accuracy=42.501042 loss=2.497952 lr=0.009777 Epoch[040] Batch [0799]/[1879] Speed: 197.460274 samples/sec accuracy=42.414062 loss=2.499944 lr=0.009776 Epoch[040] Batch [0849]/[1879] Speed: 165.747682 samples/sec accuracy=42.434743 loss=2.499809 lr=0.009775 Epoch[040] Batch [0899]/[1879] Speed: 199.065627 samples/sec accuracy=42.394965 loss=2.500662 lr=0.009775 Epoch[040] Batch [0949]/[1879] Speed: 196.332147 samples/sec accuracy=42.326480 loss=2.503751 lr=0.009774 Epoch[040] Batch [0999]/[1879] Speed: 170.694478 samples/sec accuracy=42.307031 loss=2.503889 lr=0.009773 Epoch[040] Batch [1049]/[1879] Speed: 192.779426 samples/sec accuracy=42.305804 loss=2.505786 lr=0.009773 Epoch[040] Batch [1099]/[1879] Speed: 193.431886 samples/sec accuracy=42.303977 loss=2.505315 lr=0.009772 Epoch[040] Batch [1149]/[1879] Speed: 174.737747 samples/sec accuracy=42.261549 loss=2.507121 lr=0.009771 Epoch[040] Batch [1199]/[1879] Speed: 199.174873 samples/sec accuracy=42.231120 loss=2.509327 lr=0.009770 Epoch[040] Batch [1249]/[1879] Speed: 180.612908 samples/sec accuracy=42.218125 loss=2.509496 lr=0.009770 Epoch[040] Batch [1299]/[1879] Speed: 178.432428 samples/sec accuracy=42.191106 loss=2.511049 lr=0.009769 Epoch[040] Batch [1349]/[1879] Speed: 189.365584 samples/sec accuracy=42.166088 loss=2.511623 lr=0.009768 Epoch[040] Batch [1399]/[1879] Speed: 183.674711 samples/sec accuracy=42.174665 loss=2.510065 lr=0.009767 Epoch[040] Batch [1449]/[1879] Speed: 175.484193 samples/sec accuracy=42.148707 loss=2.510650 lr=0.009767 Epoch[040] Batch [1499]/[1879] Speed: 195.390397 samples/sec accuracy=42.157813 loss=2.511081 lr=0.009766 Epoch[040] Batch [1549]/[1879] Speed: 187.447254 samples/sec accuracy=42.119456 loss=2.513034 lr=0.009765 Epoch[040] Batch [1599]/[1879] Speed: 196.203906 samples/sec accuracy=42.145996 loss=2.510851 lr=0.009765 Epoch[040] Batch [1649]/[1879] Speed: 172.354515 samples/sec accuracy=42.126420 loss=2.511548 lr=0.009764 Epoch[040] Batch [1699]/[1879] Speed: 197.573812 samples/sec accuracy=42.119026 loss=2.512346 lr=0.009763 Epoch[040] Batch [1749]/[1879] Speed: 178.438573 samples/sec accuracy=42.110268 loss=2.513103 lr=0.009762 Epoch[040] Batch [1799]/[1879] Speed: 185.208958 samples/sec accuracy=42.123264 loss=2.513757 lr=0.009762 Epoch[040] Batch [1849]/[1879] Speed: 197.005216 samples/sec accuracy=42.111486 loss=2.513413 lr=0.009761 Batch [0049]/[0151]: acc-top1=37.078125 acc-top5=62.593750 Batch [0099]/[0151]: acc-top1=40.937500 acc-top5=65.585938 Batch [0149]/[0151]: acc-top1=40.468750 acc-top5=66.083333 [Epoch 040] training: accuracy=42.094365 loss=2.514398 [Epoch 040] speed: 184 samples/sec time cost: 1422.138216 [Epoch 040] validation: acc-top1=40.418046 acc-top5=66.044081 loss=2.635417 Epoch[041] Batch [0049]/[1880] Speed: 133.316222 samples/sec accuracy=42.546875 loss=2.482128 lr=0.009760 Epoch[041] Batch [0099]/[1880] Speed: 191.618198 samples/sec accuracy=42.789062 loss=2.477254 lr=0.009759 Epoch[041] Batch [0149]/[1880] Speed: 172.360346 samples/sec accuracy=42.828125 loss=2.476287 lr=0.009758 Epoch[041] Batch [0199]/[1880] Speed: 195.418641 samples/sec accuracy=42.937500 loss=2.469219 lr=0.009757 Epoch[041] Batch [0249]/[1880] Speed: 176.479584 samples/sec accuracy=42.984375 loss=2.470095 lr=0.009757 Epoch[041] Batch [0299]/[1880] Speed: 190.122173 samples/sec accuracy=43.151042 loss=2.464340 lr=0.009756 Epoch[041] Batch [0349]/[1880] Speed: 193.139799 samples/sec accuracy=43.212054 loss=2.461738 lr=0.009755 Epoch[041] Batch [0399]/[1880] Speed: 187.776587 samples/sec accuracy=43.281250 loss=2.460808 lr=0.009754 Epoch[041] Batch [0449]/[1880] Speed: 180.028923 samples/sec accuracy=43.251736 loss=2.464490 lr=0.009754 Epoch[041] Batch [0499]/[1880] Speed: 189.049996 samples/sec accuracy=43.246875 loss=2.464041 lr=0.009753 Epoch[041] Batch [0549]/[1880] Speed: 185.900055 samples/sec accuracy=43.313920 loss=2.462062 lr=0.009752 Epoch[041] Batch [0599]/[1880] Speed: 192.165209 samples/sec accuracy=43.278646 loss=2.461892 lr=0.009751 Epoch[041] Batch [0649]/[1880] Speed: 177.065935 samples/sec accuracy=43.288462 loss=2.460971 lr=0.009751 Epoch[041] Batch [0699]/[1880] Speed: 182.223040 samples/sec accuracy=43.263393 loss=2.460029 lr=0.009750 Epoch[041] Batch [0749]/[1880] Speed: 192.068052 samples/sec accuracy=43.287500 loss=2.460102 lr=0.009749 Epoch[041] Batch [0799]/[1880] Speed: 197.871899 samples/sec accuracy=43.280273 loss=2.461347 lr=0.009748 Epoch[041] Batch [0849]/[1880] Speed: 166.401422 samples/sec accuracy=43.238051 loss=2.463218 lr=0.009748 Epoch[041] Batch [0899]/[1880] Speed: 196.445473 samples/sec accuracy=43.194444 loss=2.465330 lr=0.009747 Epoch[041] Batch [0949]/[1880] Speed: 171.401786 samples/sec accuracy=43.069079 loss=2.469175 lr=0.009746 Epoch[041] Batch [0999]/[1880] Speed: 200.652904 samples/sec accuracy=43.001562 loss=2.471959 lr=0.009745 Epoch[041] Batch [1049]/[1880] Speed: 188.547921 samples/sec accuracy=42.962054 loss=2.473285 lr=0.009745 Epoch[041] Batch [1099]/[1880] Speed: 176.901603 samples/sec accuracy=42.970881 loss=2.473228 lr=0.009744 Epoch[041] Batch [1149]/[1880] Speed: 194.859175 samples/sec accuracy=42.903533 loss=2.475753 lr=0.009743 Epoch[041] Batch [1199]/[1880] Speed: 190.716541 samples/sec accuracy=42.890625 loss=2.477472 lr=0.009742 Epoch[041] Batch [1249]/[1880] Speed: 175.969560 samples/sec accuracy=42.855625 loss=2.478659 lr=0.009741 Epoch[041] Batch [1299]/[1880] Speed: 198.856576 samples/sec accuracy=42.816707 loss=2.479852 lr=0.009741 Epoch[041] Batch [1349]/[1880] Speed: 182.728008 samples/sec accuracy=42.811343 loss=2.480563 lr=0.009740 Epoch[041] Batch [1399]/[1880] Speed: 187.153009 samples/sec accuracy=42.795201 loss=2.481073 lr=0.009739 Epoch[041] Batch [1449]/[1880] Speed: 183.575116 samples/sec accuracy=42.771013 loss=2.481241 lr=0.009738 Epoch[041] Batch [1499]/[1880] Speed: 188.107861 samples/sec accuracy=42.768750 loss=2.481435 lr=0.009738 Epoch[041] Batch [1549]/[1880] Speed: 190.512611 samples/sec accuracy=42.772681 loss=2.481659 lr=0.009737 Epoch[041] Batch [1599]/[1880] Speed: 183.640220 samples/sec accuracy=42.752441 loss=2.483114 lr=0.009736 Epoch[041] Batch [1649]/[1880] Speed: 189.676669 samples/sec accuracy=42.719223 loss=2.485256 lr=0.009735 Epoch[041] Batch [1699]/[1880] Speed: 181.691498 samples/sec accuracy=42.668658 loss=2.486743 lr=0.009734 Epoch[041] Batch [1749]/[1880] Speed: 177.949577 samples/sec accuracy=42.629464 loss=2.488922 lr=0.009734 Epoch[041] Batch [1799]/[1880] Speed: 191.780509 samples/sec accuracy=42.616319 loss=2.489141 lr=0.009733 Epoch[041] Batch [1849]/[1880] Speed: 187.158285 samples/sec accuracy=42.589527 loss=2.490568 lr=0.009732 Batch [0049]/[0151]: acc-top1=37.828125 acc-top5=64.140625 Batch [0099]/[0151]: acc-top1=41.445312 acc-top5=66.367188 Batch [0149]/[0151]: acc-top1=40.973958 acc-top5=66.630208 [Epoch 041] training: accuracy=42.595994 loss=2.490978 [Epoch 041] speed: 184 samples/sec time cost: 1418.922420 [Epoch 041] validation: acc-top1=40.919909 acc-top5=66.566639 loss=2.610145 Epoch[042] Batch [0049]/[1880] Speed: 129.894450 samples/sec accuracy=42.890625 loss=2.461664 lr=0.009731 Epoch[042] Batch [0099]/[1880] Speed: 194.657018 samples/sec accuracy=43.320312 loss=2.447552 lr=0.009730 Epoch[042] Batch [0149]/[1880] Speed: 200.867934 samples/sec accuracy=43.614583 loss=2.446299 lr=0.009729 Epoch[042] Batch [0199]/[1880] Speed: 166.801648 samples/sec accuracy=43.320312 loss=2.458192 lr=0.009729 Epoch[042] Batch [0249]/[1880] Speed: 204.703794 samples/sec accuracy=43.287500 loss=2.459281 lr=0.009728 Epoch[042] Batch [0299]/[1880] Speed: 176.322514 samples/sec accuracy=43.182292 loss=2.461349 lr=0.009727 Epoch[042] Batch [0349]/[1880] Speed: 178.094424 samples/sec accuracy=43.216518 loss=2.458126 lr=0.009726 Epoch[042] Batch [0399]/[1880] Speed: 202.786454 samples/sec accuracy=43.392578 loss=2.452694 lr=0.009725 Epoch[042] Batch [0449]/[1880] Speed: 170.391049 samples/sec accuracy=43.383681 loss=2.451449 lr=0.009725 Epoch[042] Batch [0499]/[1880] Speed: 205.830558 samples/sec accuracy=43.423437 loss=2.449627 lr=0.009724 Epoch[042] Batch [0549]/[1880] Speed: 179.111628 samples/sec accuracy=43.492898 loss=2.448580 lr=0.009723 Epoch[042] Batch [0599]/[1880] Speed: 183.360852 samples/sec accuracy=43.492188 loss=2.445687 lr=0.009722 Epoch[042] Batch [0649]/[1880] Speed: 199.664741 samples/sec accuracy=43.426683 loss=2.449539 lr=0.009721 Epoch[042] Batch [0699]/[1880] Speed: 170.194139 samples/sec accuracy=43.427455 loss=2.448663 lr=0.009721 Epoch[042] Batch [0749]/[1880] Speed: 201.611913 samples/sec accuracy=43.334375 loss=2.449854 lr=0.009720 Epoch[042] Batch [0799]/[1880] Speed: 177.802578 samples/sec accuracy=43.296875 loss=2.451612 lr=0.009719 Epoch[042] Batch [0849]/[1880] Speed: 189.001031 samples/sec accuracy=43.245404 loss=2.454395 lr=0.009718 Epoch[042] Batch [0899]/[1880] Speed: 183.176584 samples/sec accuracy=43.230035 loss=2.455098 lr=0.009717 Epoch[042] Batch [0949]/[1880] Speed: 195.360660 samples/sec accuracy=43.209704 loss=2.458349 lr=0.009717 Epoch[042] Batch [0999]/[1880] Speed: 178.095045 samples/sec accuracy=43.216406 loss=2.459448 lr=0.009716 Epoch[042] Batch [1049]/[1880] Speed: 180.522811 samples/sec accuracy=43.175595 loss=2.461312 lr=0.009715 Epoch[042] Batch [1099]/[1880] Speed: 193.621062 samples/sec accuracy=43.145597 loss=2.463316 lr=0.009714 Epoch[042] Batch [1149]/[1880] Speed: 185.122272 samples/sec accuracy=43.120245 loss=2.463449 lr=0.009713 Epoch[042] Batch [1199]/[1880] Speed: 185.776575 samples/sec accuracy=43.126302 loss=2.463469 lr=0.009712 Epoch[042] Batch [1249]/[1880] Speed: 178.131058 samples/sec accuracy=43.166875 loss=2.461825 lr=0.009712 Epoch[042] Batch [1299]/[1880] Speed: 197.644843 samples/sec accuracy=43.169471 loss=2.462230 lr=0.009711 Epoch[042] Batch [1349]/[1880] Speed: 186.824318 samples/sec accuracy=43.159722 loss=2.462326 lr=0.009710 Epoch[042] Batch [1399]/[1880] Speed: 179.828294 samples/sec accuracy=43.141741 loss=2.462695 lr=0.009709 Epoch[042] Batch [1449]/[1880] Speed: 180.479706 samples/sec accuracy=43.141164 loss=2.463059 lr=0.009708 Epoch[042] Batch [1499]/[1880] Speed: 182.615467 samples/sec accuracy=43.102604 loss=2.464442 lr=0.009708 Epoch[042] Batch [1549]/[1880] Speed: 202.036066 samples/sec accuracy=43.087198 loss=2.464847 lr=0.009707 Epoch[042] Batch [1599]/[1880] Speed: 178.418040 samples/sec accuracy=43.043945 loss=2.465761 lr=0.009706 Epoch[042] Batch [1649]/[1880] Speed: 174.668251 samples/sec accuracy=43.028409 loss=2.466058 lr=0.009705 Epoch[042] Batch [1699]/[1880] Speed: 202.140576 samples/sec accuracy=43.033088 loss=2.466061 lr=0.009704 Epoch[042] Batch [1749]/[1880] Speed: 187.558788 samples/sec accuracy=43.042411 loss=2.466459 lr=0.009703 Epoch[042] Batch [1799]/[1880] Speed: 175.769072 samples/sec accuracy=43.040799 loss=2.467553 lr=0.009703 Epoch[042] Batch [1849]/[1880] Speed: 195.885000 samples/sec accuracy=43.014358 loss=2.468689 lr=0.009702 Batch [0049]/[0151]: acc-top1=38.859375 acc-top5=63.875000 Batch [0099]/[0151]: acc-top1=41.718750 acc-top5=66.304688 Batch [0149]/[0151]: acc-top1=40.437500 acc-top5=66.234375 [Epoch 042] training: accuracy=42.992852 loss=2.469204 [Epoch 042] speed: 184 samples/sec time cost: 1418.519566 [Epoch 042] validation: acc-top1=40.361134 acc-top5=66.142384 loss=2.632647 Epoch[043] Batch [0049]/[1880] Speed: 131.206569 samples/sec accuracy=44.640625 loss=2.387462 lr=0.009701 Epoch[043] Batch [0099]/[1880] Speed: 201.541910 samples/sec accuracy=44.585938 loss=2.379997 lr=0.009700 Epoch[043] Batch [0149]/[1880] Speed: 185.548388 samples/sec accuracy=44.218750 loss=2.394764 lr=0.009699 Epoch[043] Batch [0199]/[1880] Speed: 175.054407 samples/sec accuracy=43.992188 loss=2.405895 lr=0.009698 Epoch[043] Batch [0249]/[1880] Speed: 201.326512 samples/sec accuracy=43.840625 loss=2.412049 lr=0.009697 Epoch[043] Batch [0299]/[1880] Speed: 160.205160 samples/sec accuracy=43.981771 loss=2.407678 lr=0.009696 Epoch[043] Batch [0349]/[1880] Speed: 205.120407 samples/sec accuracy=44.026786 loss=2.416951 lr=0.009696 Epoch[043] Batch [0399]/[1880] Speed: 196.160373 samples/sec accuracy=44.048828 loss=2.415857 lr=0.009695 Epoch[043] Batch [0449]/[1880] Speed: 172.005308 samples/sec accuracy=44.010417 loss=2.420121 lr=0.009694 Epoch[043] Batch [0499]/[1880] Speed: 190.614322 samples/sec accuracy=43.982813 loss=2.422379 lr=0.009693 Epoch[043] Batch [0549]/[1880] Speed: 198.269983 samples/sec accuracy=43.859375 loss=2.427337 lr=0.009692 Epoch[043] Batch [0599]/[1880] Speed: 168.332142 samples/sec accuracy=43.805990 loss=2.431245 lr=0.009691 Epoch[043] Batch [0649]/[1880] Speed: 196.518785 samples/sec accuracy=43.701923 loss=2.433134 lr=0.009690 Epoch[043] Batch [0699]/[1880] Speed: 176.320913 samples/sec accuracy=43.658482 loss=2.434964 lr=0.009690 Epoch[043] Batch [0749]/[1880] Speed: 188.133795 samples/sec accuracy=43.554167 loss=2.439668 lr=0.009689 Epoch[043] Batch [0799]/[1880] Speed: 199.047851 samples/sec accuracy=43.525391 loss=2.440354 lr=0.009688 Epoch[043] Batch [0849]/[1880] Speed: 172.948814 samples/sec accuracy=43.470588 loss=2.443293 lr=0.009687 Epoch[043] Batch [0899]/[1880] Speed: 193.165404 samples/sec accuracy=43.435764 loss=2.443592 lr=0.009686 Epoch[043] Batch [0949]/[1880] Speed: 190.472713 samples/sec accuracy=43.408717 loss=2.443908 lr=0.009685 Epoch[043] Batch [0999]/[1880] Speed: 177.483785 samples/sec accuracy=43.439062 loss=2.443766 lr=0.009685 Epoch[043] Batch [1049]/[1880] Speed: 176.594069 samples/sec accuracy=43.384673 loss=2.446552 lr=0.009684 Epoch[043] Batch [1099]/[1880] Speed: 207.061682 samples/sec accuracy=43.362216 loss=2.448429 lr=0.009683 Epoch[043] Batch [1149]/[1880] Speed: 176.826674 samples/sec accuracy=43.343071 loss=2.448975 lr=0.009682 Epoch[043] Batch [1199]/[1880] Speed: 185.078991 samples/sec accuracy=43.321615 loss=2.449213 lr=0.009681 Epoch[043] Batch [1249]/[1880] Speed: 185.216120 samples/sec accuracy=43.375000 loss=2.447619 lr=0.009680 Epoch[043] Batch [1299]/[1880] Speed: 180.115669 samples/sec accuracy=43.335938 loss=2.449483 lr=0.009679 Epoch[043] Batch [1349]/[1880] Speed: 199.049969 samples/sec accuracy=43.360532 loss=2.448135 lr=0.009679 Epoch[043] Batch [1399]/[1880] Speed: 184.905467 samples/sec accuracy=43.325335 loss=2.449856 lr=0.009678 Epoch[043] Batch [1449]/[1880] Speed: 179.689299 samples/sec accuracy=43.317349 loss=2.451307 lr=0.009677 Epoch[043] Batch [1499]/[1880] Speed: 186.850333 samples/sec accuracy=43.272917 loss=2.453281 lr=0.009676 Epoch[043] Batch [1549]/[1880] Speed: 177.543024 samples/sec accuracy=43.279738 loss=2.453422 lr=0.009675 Epoch[043] Batch [1599]/[1880] Speed: 190.824335 samples/sec accuracy=43.302246 loss=2.453504 lr=0.009674 Epoch[043] Batch [1649]/[1880] Speed: 174.450453 samples/sec accuracy=43.263731 loss=2.454934 lr=0.009673 Epoch[043] Batch [1699]/[1880] Speed: 198.396349 samples/sec accuracy=43.276654 loss=2.454625 lr=0.009673 Epoch[043] Batch [1749]/[1880] Speed: 196.976490 samples/sec accuracy=43.265625 loss=2.454935 lr=0.009672 Epoch[043] Batch [1799]/[1880] Speed: 171.784319 samples/sec accuracy=43.279080 loss=2.454591 lr=0.009671 Epoch[043] Batch [1849]/[1880] Speed: 192.081886 samples/sec accuracy=43.285051 loss=2.455264 lr=0.009670 Batch [0049]/[0151]: acc-top1=38.765625 acc-top5=63.656250 Batch [0099]/[0151]: acc-top1=42.101562 acc-top5=66.593750 Batch [0149]/[0151]: acc-top1=41.020833 acc-top5=66.463542 [Epoch 043] training: accuracy=43.302859 loss=2.454530 [Epoch 043] speed: 184 samples/sec time cost: 1421.237068 [Epoch 043] validation: acc-top1=40.997517 acc-top5=66.437293 loss=2.601713 Epoch[044] Batch [0049]/[1880] Speed: 134.338389 samples/sec accuracy=44.000000 loss=2.410198 lr=0.009669 Epoch[044] Batch [0099]/[1880] Speed: 200.991184 samples/sec accuracy=43.914062 loss=2.409278 lr=0.009668 Epoch[044] Batch [0149]/[1880] Speed: 171.999435 samples/sec accuracy=43.817708 loss=2.400990 lr=0.009667 Epoch[044] Batch [0199]/[1880] Speed: 200.305082 samples/sec accuracy=43.792969 loss=2.403036 lr=0.009666 Epoch[044] Batch [0249]/[1880] Speed: 180.728413 samples/sec accuracy=43.731250 loss=2.406510 lr=0.009665 Epoch[044] Batch [0299]/[1880] Speed: 180.986013 samples/sec accuracy=43.906250 loss=2.399178 lr=0.009664 Epoch[044] Batch [0349]/[1880] Speed: 183.698199 samples/sec accuracy=43.964286 loss=2.402770 lr=0.009663 Epoch[044] Batch [0399]/[1880] Speed: 197.156552 samples/sec accuracy=43.998047 loss=2.404075 lr=0.009662 Epoch[044] Batch [0449]/[1880] Speed: 176.112088 samples/sec accuracy=44.097222 loss=2.400294 lr=0.009662 Epoch[044] Batch [0499]/[1880] Speed: 190.326941 samples/sec accuracy=44.181250 loss=2.398724 lr=0.009661 Epoch[044] Batch [0549]/[1880] Speed: 195.019784 samples/sec accuracy=44.180398 loss=2.399515 lr=0.009660 Epoch[044] Batch [0599]/[1880] Speed: 159.370238 samples/sec accuracy=44.161458 loss=2.403343 lr=0.009659 Epoch[044] Batch [0649]/[1880] Speed: 199.333969 samples/sec accuracy=44.110577 loss=2.407439 lr=0.009658 Epoch[044] Batch [0699]/[1880] Speed: 204.061901 samples/sec accuracy=44.071429 loss=2.409395 lr=0.009657 Epoch[044] Batch [0749]/[1880] Speed: 167.607935 samples/sec accuracy=43.982292 loss=2.414110 lr=0.009656 Epoch[044] Batch [0799]/[1880] Speed: 201.962835 samples/sec accuracy=43.944336 loss=2.415896 lr=0.009655 Epoch[044] Batch [0849]/[1880] Speed: 168.861425 samples/sec accuracy=43.931985 loss=2.416941 lr=0.009655 Epoch[044] Batch [0899]/[1880] Speed: 201.418693 samples/sec accuracy=43.973090 loss=2.415940 lr=0.009654 Epoch[044] Batch [0949]/[1880] Speed: 195.471589 samples/sec accuracy=43.935855 loss=2.416723 lr=0.009653 Epoch[044] Batch [0999]/[1880] Speed: 181.259287 samples/sec accuracy=43.931250 loss=2.417467 lr=0.009652 Epoch[044] Batch [1049]/[1880] Speed: 184.297010 samples/sec accuracy=43.881696 loss=2.419108 lr=0.009651 Epoch[044] Batch [1099]/[1880] Speed: 176.327802 samples/sec accuracy=43.887074 loss=2.418950 lr=0.009650 Epoch[044] Batch [1149]/[1880] Speed: 205.576974 samples/sec accuracy=43.833560 loss=2.422073 lr=0.009649 Epoch[044] Batch [1199]/[1880] Speed: 168.618557 samples/sec accuracy=43.809896 loss=2.423810 lr=0.009648 Epoch[044] Batch [1249]/[1880] Speed: 207.797706 samples/sec accuracy=43.776250 loss=2.426360 lr=0.009647 Epoch[044] Batch [1299]/[1880] Speed: 168.020835 samples/sec accuracy=43.791466 loss=2.426951 lr=0.009646 Epoch[044] Batch [1349]/[1880] Speed: 205.834955 samples/sec accuracy=43.799769 loss=2.426141 lr=0.009646 Epoch[044] Batch [1399]/[1880] Speed: 171.641496 samples/sec accuracy=43.809152 loss=2.426304 lr=0.009645 Epoch[044] Batch [1449]/[1880] Speed: 195.064997 samples/sec accuracy=43.803879 loss=2.426992 lr=0.009644 Epoch[044] Batch [1499]/[1880] Speed: 191.134511 samples/sec accuracy=43.785938 loss=2.427256 lr=0.009643 Epoch[044] Batch [1549]/[1880] Speed: 175.606985 samples/sec accuracy=43.786290 loss=2.428313 lr=0.009642 Epoch[044] Batch [1599]/[1880] Speed: 193.411156 samples/sec accuracy=43.770020 loss=2.428069 lr=0.009641 Epoch[044] Batch [1649]/[1880] Speed: 180.517253 samples/sec accuracy=43.795455 loss=2.426759 lr=0.009640 Epoch[044] Batch [1699]/[1880] Speed: 179.098913 samples/sec accuracy=43.781250 loss=2.427514 lr=0.009639 Epoch[044] Batch [1749]/[1880] Speed: 202.072374 samples/sec accuracy=43.787054 loss=2.427436 lr=0.009638 Epoch[044] Batch [1799]/[1880] Speed: 177.018544 samples/sec accuracy=43.795573 loss=2.426906 lr=0.009637 Epoch[044] Batch [1849]/[1880] Speed: 192.059327 samples/sec accuracy=43.772382 loss=2.428605 lr=0.009637 Batch [0049]/[0151]: acc-top1=38.828125 acc-top5=64.578125 Batch [0099]/[0151]: acc-top1=42.531250 acc-top5=67.156250 Batch [0149]/[0151]: acc-top1=40.984375 acc-top5=66.510417 [Epoch 044] training: accuracy=43.759558 loss=2.428758 [Epoch 044] speed: 184 samples/sec time cost: 1418.444918 [Epoch 044] validation: acc-top1=40.940604 acc-top5=66.463162 loss=2.630672 Epoch[045] Batch [0049]/[1880] Speed: 135.080242 samples/sec accuracy=43.781250 loss=2.399444 lr=0.009635 Epoch[045] Batch [0099]/[1880] Speed: 193.849258 samples/sec accuracy=44.125000 loss=2.387317 lr=0.009634 Epoch[045] Batch [0149]/[1880] Speed: 189.316974 samples/sec accuracy=44.307292 loss=2.389702 lr=0.009633 Epoch[045] Batch [0199]/[1880] Speed: 182.714542 samples/sec accuracy=44.300781 loss=2.394232 lr=0.009632 Epoch[045] Batch [0249]/[1880] Speed: 188.503225 samples/sec accuracy=44.062500 loss=2.400412 lr=0.009631 Epoch[045] Batch [0299]/[1880] Speed: 192.914559 samples/sec accuracy=44.231771 loss=2.400574 lr=0.009631 Epoch[045] Batch [0349]/[1880] Speed: 170.976241 samples/sec accuracy=44.308036 loss=2.399303 lr=0.009630 Epoch[045] Batch [0399]/[1880] Speed: 200.002262 samples/sec accuracy=44.330078 loss=2.396698 lr=0.009629 Epoch[045] Batch [0449]/[1880] Speed: 172.684180 samples/sec accuracy=44.211806 loss=2.402161 lr=0.009628 Epoch[045] Batch [0499]/[1880] Speed: 200.886303 samples/sec accuracy=44.226562 loss=2.402805 lr=0.009627 Epoch[045] Batch [0549]/[1880] Speed: 179.439576 samples/sec accuracy=44.241477 loss=2.401740 lr=0.009626 Epoch[045] Batch [0599]/[1880] Speed: 186.991726 samples/sec accuracy=44.222656 loss=2.402720 lr=0.009625 Epoch[045] Batch [0649]/[1880] Speed: 182.044970 samples/sec accuracy=44.194712 loss=2.401511 lr=0.009624 Epoch[045] Batch [0699]/[1880] Speed: 186.362001 samples/sec accuracy=44.205357 loss=2.400387 lr=0.009623 Epoch[045] Batch [0749]/[1880] Speed: 200.797076 samples/sec accuracy=44.210417 loss=2.401635 lr=0.009622 Epoch[045] Batch [0799]/[1880] Speed: 172.442353 samples/sec accuracy=44.235352 loss=2.401965 lr=0.009621 Epoch[045] Batch [0849]/[1880] Speed: 206.179893 samples/sec accuracy=44.282169 loss=2.401832 lr=0.009620 Epoch[045] Batch [0899]/[1880] Speed: 171.996137 samples/sec accuracy=44.235243 loss=2.404312 lr=0.009619 Epoch[045] Batch [0949]/[1880] Speed: 192.489919 samples/sec accuracy=44.173520 loss=2.406173 lr=0.009619 Epoch[045] Batch [0999]/[1880] Speed: 171.761131 samples/sec accuracy=44.250000 loss=2.404221 lr=0.009618 Epoch[045] Batch [1049]/[1880] Speed: 197.885560 samples/sec accuracy=44.232887 loss=2.403515 lr=0.009617 Epoch[045] Batch [1099]/[1880] Speed: 190.555436 samples/sec accuracy=44.191051 loss=2.406492 lr=0.009616 Epoch[045] Batch [1149]/[1880] Speed: 176.261881 samples/sec accuracy=44.185462 loss=2.406099 lr=0.009615 Epoch[045] Batch [1199]/[1880] Speed: 196.210525 samples/sec accuracy=44.181641 loss=2.406577 lr=0.009614 Epoch[045] Batch [1249]/[1880] Speed: 165.851460 samples/sec accuracy=44.188750 loss=2.406582 lr=0.009613 Epoch[045] Batch [1299]/[1880] Speed: 203.957866 samples/sec accuracy=44.146635 loss=2.407791 lr=0.009612 Epoch[045] Batch [1349]/[1880] Speed: 172.591116 samples/sec accuracy=44.106481 loss=2.409832 lr=0.009611 Epoch[045] Batch [1399]/[1880] Speed: 189.278459 samples/sec accuracy=44.134487 loss=2.409609 lr=0.009610 Epoch[045] Batch [1449]/[1880] Speed: 190.000570 samples/sec accuracy=44.152478 loss=2.409330 lr=0.009609 Epoch[045] Batch [1499]/[1880] Speed: 178.767525 samples/sec accuracy=44.145313 loss=2.409380 lr=0.009608 Epoch[045] Batch [1549]/[1880] Speed: 194.115091 samples/sec accuracy=44.096270 loss=2.412231 lr=0.009607 Epoch[045] Batch [1599]/[1880] Speed: 181.039984 samples/sec accuracy=44.129395 loss=2.411454 lr=0.009606 Epoch[045] Batch [1649]/[1880] Speed: 182.575017 samples/sec accuracy=44.127367 loss=2.411535 lr=0.009605 Epoch[045] Batch [1699]/[1880] Speed: 191.363044 samples/sec accuracy=44.153952 loss=2.410491 lr=0.009604 Epoch[045] Batch [1749]/[1880] Speed: 196.614556 samples/sec accuracy=44.187054 loss=2.409215 lr=0.009603 Epoch[045] Batch [1799]/[1880] Speed: 177.303782 samples/sec accuracy=44.167101 loss=2.409776 lr=0.009603 Epoch[045] Batch [1849]/[1880] Speed: 188.111051 samples/sec accuracy=44.145693 loss=2.410641 lr=0.009602 Batch [0049]/[0151]: acc-top1=39.140625 acc-top5=65.046875 Batch [0099]/[0151]: acc-top1=42.804688 acc-top5=67.828125 Batch [0149]/[0151]: acc-top1=42.093750 acc-top5=67.791667 [Epoch 045] training: accuracy=44.131067 loss=2.410616 [Epoch 045] speed: 184 samples/sec time cost: 1417.458872 [Epoch 045] validation: acc-top1=42.073675 acc-top5=67.772144 loss=2.534240 Epoch[046] Batch [0049]/[1879] Speed: 127.885413 samples/sec accuracy=46.265625 loss=2.289871 lr=0.009600 Epoch[046] Batch [0099]/[1879] Speed: 202.919111 samples/sec accuracy=45.812500 loss=2.308287 lr=0.009599 Epoch[046] Batch [0149]/[1879] Speed: 176.252703 samples/sec accuracy=45.765625 loss=2.324610 lr=0.009598 Epoch[046] Batch [0199]/[1879] Speed: 187.290752 samples/sec accuracy=45.792969 loss=2.324366 lr=0.009597 Epoch[046] Batch [0249]/[1879] Speed: 196.136931 samples/sec accuracy=45.740625 loss=2.329379 lr=0.009596 Epoch[046] Batch [0299]/[1879] Speed: 177.383053 samples/sec accuracy=45.708333 loss=2.333971 lr=0.009595 Epoch[046] Batch [0349]/[1879] Speed: 182.759479 samples/sec accuracy=45.531250 loss=2.342904 lr=0.009594 Epoch[046] Batch [0399]/[1879] Speed: 193.606150 samples/sec accuracy=45.408203 loss=2.348755 lr=0.009593 Epoch[046] Batch [0449]/[1879] Speed: 179.031733 samples/sec accuracy=45.256944 loss=2.356580 lr=0.009592 Epoch[046] Batch [0499]/[1879] Speed: 182.869144 samples/sec accuracy=45.293750 loss=2.355742 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Speed: 176.551893 samples/sec accuracy=44.867969 loss=2.376925 lr=0.009582 Epoch[046] Batch [1049]/[1879] Speed: 200.735797 samples/sec accuracy=44.851935 loss=2.375624 lr=0.009581 Epoch[046] Batch [1099]/[1879] Speed: 187.522059 samples/sec accuracy=44.821023 loss=2.375515 lr=0.009580 Epoch[046] Batch [1149]/[1879] Speed: 176.194111 samples/sec accuracy=44.821332 loss=2.375270 lr=0.009579 Epoch[046] Batch [1199]/[1879] Speed: 191.948830 samples/sec accuracy=44.800130 loss=2.375894 lr=0.009578 Epoch[046] Batch [1249]/[1879] Speed: 171.877451 samples/sec accuracy=44.795000 loss=2.376702 lr=0.009577 Epoch[046] Batch [1299]/[1879] Speed: 195.456015 samples/sec accuracy=44.748798 loss=2.379262 lr=0.009576 Epoch[046] Batch [1349]/[1879] Speed: 185.503720 samples/sec accuracy=44.750000 loss=2.379612 lr=0.009575 Epoch[046] Batch [1399]/[1879] Speed: 187.024209 samples/sec accuracy=44.695312 loss=2.381029 lr=0.009574 Epoch[046] Batch [1449]/[1879] Speed: 198.904758 samples/sec accuracy=44.674569 loss=2.381762 lr=0.009573 Epoch[046] Batch [1499]/[1879] Speed: 178.737921 samples/sec accuracy=44.670312 loss=2.382002 lr=0.009572 Epoch[046] Batch [1549]/[1879] Speed: 186.542548 samples/sec accuracy=44.644657 loss=2.383291 lr=0.009571 Epoch[046] Batch [1599]/[1879] Speed: 186.058844 samples/sec accuracy=44.625977 loss=2.383838 lr=0.009570 Epoch[046] Batch [1649]/[1879] Speed: 194.918034 samples/sec accuracy=44.591383 loss=2.385821 lr=0.009569 Epoch[046] Batch [1699]/[1879] Speed: 177.605924 samples/sec accuracy=44.595588 loss=2.386008 lr=0.009568 Epoch[046] Batch [1749]/[1879] Speed: 190.998431 samples/sec accuracy=44.577679 loss=2.387331 lr=0.009567 Epoch[046] Batch [1799]/[1879] Speed: 177.742331 samples/sec accuracy=44.569010 loss=2.387944 lr=0.009566 Epoch[046] Batch [1849]/[1879] Speed: 194.309035 samples/sec accuracy=44.527872 loss=2.388977 lr=0.009565 Batch [0049]/[0151]: acc-top1=38.375000 acc-top5=64.000000 Batch [0099]/[0151]: acc-top1=42.195312 acc-top5=67.226562 Batch [0149]/[0151]: acc-top1=41.213542 acc-top5=67.104167 [Epoch 046] training: accuracy=44.522103 loss=2.389295 [Epoch 046] speed: 184 samples/sec time cost: 1417.338878 [Epoch 046] validation: acc-top1=41.163079 acc-top5=67.078849 loss=2.584171 Epoch[047] Batch [0049]/[1880] Speed: 129.174929 samples/sec accuracy=45.484375 loss=2.342954 lr=0.009563 Epoch[047] Batch [0099]/[1880] Speed: 194.515685 samples/sec accuracy=45.226562 loss=2.351437 lr=0.009563 Epoch[047] Batch [0149]/[1880] Speed: 186.138865 samples/sec accuracy=45.328125 loss=2.348615 lr=0.009562 Epoch[047] Batch [0199]/[1880] Speed: 186.752154 samples/sec accuracy=45.562500 loss=2.339016 lr=0.009561 Epoch[047] Batch [0249]/[1880] Speed: 196.278128 samples/sec accuracy=45.403125 loss=2.338538 lr=0.009560 Epoch[047] Batch [0299]/[1880] Speed: 179.380198 samples/sec accuracy=45.419271 loss=2.340754 lr=0.009559 Epoch[047] Batch [0349]/[1880] Speed: 186.527512 samples/sec accuracy=45.468750 loss=2.339168 lr=0.009558 Epoch[047] Batch [0399]/[1880] Speed: 194.909552 samples/sec accuracy=45.392578 loss=2.342703 lr=0.009557 Epoch[047] Batch [0449]/[1880] Speed: 182.944427 samples/sec accuracy=45.262153 loss=2.346718 lr=0.009556 Epoch[047] Batch [0499]/[1880] Speed: 178.176768 samples/sec accuracy=45.164062 loss=2.351863 lr=0.009555 Epoch[047] Batch [0549]/[1880] Speed: 186.985257 samples/sec accuracy=45.096591 loss=2.355467 lr=0.009554 Epoch[047] Batch [0599]/[1880] Speed: 193.867447 samples/sec accuracy=45.045573 loss=2.355742 lr=0.009553 Epoch[047] Batch [0649]/[1880] Speed: 185.763863 samples/sec accuracy=45.024038 loss=2.356667 lr=0.009552 Epoch[047] Batch [0699]/[1880] Speed: 176.980507 samples/sec accuracy=45.017857 loss=2.355966 lr=0.009550 Epoch[047] Batch [0749]/[1880] Speed: 199.952812 samples/sec accuracy=45.039583 loss=2.357350 lr=0.009549 Epoch[047] Batch [0799]/[1880] Speed: 173.130936 samples/sec accuracy=45.042969 loss=2.356172 lr=0.009548 Epoch[047] Batch [0849]/[1880] Speed: 194.151667 samples/sec accuracy=44.989890 loss=2.361504 lr=0.009547 Epoch[047] Batch [0899]/[1880] Speed: 189.038721 samples/sec accuracy=44.941840 loss=2.362100 lr=0.009546 Epoch[047] Batch [0949]/[1880] Speed: 180.395794 samples/sec accuracy=44.921875 loss=2.364245 lr=0.009545 Epoch[047] Batch [0999]/[1880] Speed: 189.676972 samples/sec accuracy=44.896875 loss=2.365158 lr=0.009544 Epoch[047] Batch [1049]/[1880] Speed: 186.850812 samples/sec accuracy=44.869792 loss=2.366153 lr=0.009543 Epoch[047] Batch [1099]/[1880] Speed: 181.618192 samples/sec accuracy=44.867898 loss=2.365521 lr=0.009542 Epoch[047] Batch [1149]/[1880] Speed: 181.600550 samples/sec accuracy=44.864130 loss=2.365611 lr=0.009541 Epoch[047] Batch [1199]/[1880] Speed: 197.020769 samples/sec accuracy=44.838542 loss=2.367653 lr=0.009540 Epoch[047] Batch [1249]/[1880] Speed: 190.540098 samples/sec accuracy=44.893750 loss=2.366284 lr=0.009539 Epoch[047] Batch [1299]/[1880] Speed: 185.093954 samples/sec accuracy=44.889423 loss=2.367501 lr=0.009538 Epoch[047] Batch [1349]/[1880] Speed: 178.452770 samples/sec accuracy=44.854167 loss=2.369226 lr=0.009537 Epoch[047] Batch [1399]/[1880] Speed: 193.506068 samples/sec accuracy=44.866629 loss=2.368962 lr=0.009536 Epoch[047] Batch [1449]/[1880] Speed: 183.953376 samples/sec accuracy=44.855065 loss=2.369521 lr=0.009535 Epoch[047] Batch [1499]/[1880] Speed: 179.504210 samples/sec accuracy=44.866146 loss=2.369491 lr=0.009534 Epoch[047] Batch [1549]/[1880] Speed: 200.397065 samples/sec accuracy=44.863407 loss=2.369026 lr=0.009533 Epoch[047] Batch [1599]/[1880] Speed: 174.616055 samples/sec accuracy=44.861816 loss=2.369631 lr=0.009532 Epoch[047] Batch [1649]/[1880] Speed: 197.429478 samples/sec accuracy=44.830019 loss=2.371386 lr=0.009531 Epoch[047] Batch [1699]/[1880] Speed: 194.386165 samples/sec accuracy=44.813879 loss=2.372706 lr=0.009530 Epoch[047] Batch [1749]/[1880] Speed: 165.728916 samples/sec accuracy=44.804911 loss=2.373553 lr=0.009529 Epoch[047] Batch [1799]/[1880] Speed: 202.252017 samples/sec accuracy=44.824219 loss=2.372516 lr=0.009528 Epoch[047] Batch [1849]/[1880] Speed: 170.656743 samples/sec accuracy=44.809122 loss=2.372627 lr=0.009527 Batch [0049]/[0151]: acc-top1=39.671875 acc-top5=65.531250 Batch [0099]/[0151]: acc-top1=43.195312 acc-top5=67.835938 Batch [0149]/[0151]: acc-top1=42.078125 acc-top5=67.598958 [Epoch 047] training: accuracy=44.827543 loss=2.372252 [Epoch 047] speed: 184 samples/sec time cost: 1417.887143 [Epoch 047] validation: acc-top1=41.990894 acc-top5=67.560017 loss=2.545151 Epoch[048] Batch [0049]/[1880] Speed: 136.499576 samples/sec accuracy=45.453125 loss=2.311653 lr=0.009525 Epoch[048] Batch [0099]/[1880] Speed: 183.829315 samples/sec accuracy=45.789062 loss=2.292559 lr=0.009524 Epoch[048] Batch [0149]/[1880] Speed: 181.772437 samples/sec accuracy=45.567708 loss=2.305589 lr=0.009523 Epoch[048] Batch [0199]/[1880] Speed: 194.580825 samples/sec accuracy=45.488281 loss=2.316506 lr=0.009522 Epoch[048] Batch [0249]/[1880] Speed: 169.944544 samples/sec accuracy=45.834375 loss=2.310024 lr=0.009521 Epoch[048] Batch [0299]/[1880] Speed: 191.122280 samples/sec accuracy=45.734375 loss=2.316923 lr=0.009520 Epoch[048] Batch [0349]/[1880] Speed: 204.544396 samples/sec accuracy=45.792411 loss=2.317647 lr=0.009519 Epoch[048] Batch [0399]/[1880] Speed: 177.885344 samples/sec accuracy=45.734375 loss=2.325927 lr=0.009518 Epoch[048] Batch [0449]/[1880] Speed: 178.207538 samples/sec accuracy=45.800347 loss=2.323478 lr=0.009517 Epoch[048] Batch [0499]/[1880] Speed: 205.079504 samples/sec accuracy=45.825000 loss=2.321639 lr=0.009516 Epoch[048] Batch [0549]/[1880] Speed: 170.635819 samples/sec accuracy=45.856534 loss=2.320307 lr=0.009515 Epoch[048] Batch [0599]/[1880] Speed: 194.243358 samples/sec accuracy=45.813802 loss=2.322624 lr=0.009514 Epoch[048] Batch [0649]/[1880] Speed: 193.174723 samples/sec accuracy=45.817308 loss=2.324492 lr=0.009513 Epoch[048] Batch [0699]/[1880] Speed: 172.683081 samples/sec accuracy=45.825893 loss=2.324114 lr=0.009512 Epoch[048] Batch [0749]/[1880] Speed: 205.898155 samples/sec accuracy=45.758333 loss=2.326810 lr=0.009511 Epoch[048] Batch [0799]/[1880] Speed: 173.731349 samples/sec accuracy=45.692383 loss=2.329372 lr=0.009510 Epoch[048] Batch [0849]/[1880] Speed: 195.858380 samples/sec accuracy=45.602022 loss=2.332376 lr=0.009509 Epoch[048] Batch [0899]/[1880] Speed: 174.438486 samples/sec accuracy=45.597222 loss=2.334452 lr=0.009508 Epoch[048] Batch [0949]/[1880] Speed: 197.114588 samples/sec accuracy=45.593750 loss=2.336265 lr=0.009507 Epoch[048] Batch [0999]/[1880] Speed: 194.276805 samples/sec accuracy=45.575781 loss=2.338278 lr=0.009506 Epoch[048] Batch [1049]/[1880] Speed: 173.771727 samples/sec accuracy=45.531250 loss=2.339800 lr=0.009505 Epoch[048] Batch [1099]/[1880] Speed: 203.666711 samples/sec accuracy=45.489347 loss=2.342351 lr=0.009503 Epoch[048] Batch [1149]/[1880] Speed: 169.596950 samples/sec accuracy=45.494565 loss=2.340279 lr=0.009502 Epoch[048] Batch [1199]/[1880] Speed: 193.008133 samples/sec accuracy=45.506510 loss=2.339634 lr=0.009501 Epoch[048] Batch [1249]/[1880] Speed: 184.831012 samples/sec accuracy=45.470000 loss=2.341209 lr=0.009500 Epoch[048] Batch [1299]/[1880] Speed: 175.437327 samples/sec accuracy=45.436899 loss=2.342242 lr=0.009499 Epoch[048] Batch [1349]/[1880] Speed: 198.888314 samples/sec accuracy=45.416667 loss=2.343157 lr=0.009498 Epoch[048] Batch [1399]/[1880] Speed: 194.194040 samples/sec accuracy=45.389509 loss=2.344844 lr=0.009497 Epoch[048] Batch [1449]/[1880] Speed: 171.456060 samples/sec accuracy=45.385237 loss=2.345353 lr=0.009496 Epoch[048] Batch [1499]/[1880] Speed: 193.096663 samples/sec accuracy=45.373958 loss=2.346887 lr=0.009495 Epoch[048] Batch [1549]/[1880] Speed: 193.461283 samples/sec accuracy=45.347782 loss=2.349625 lr=0.009494 Epoch[048] Batch [1599]/[1880] Speed: 179.379627 samples/sec accuracy=45.316895 loss=2.350558 lr=0.009493 Epoch[048] Batch [1649]/[1880] Speed: 197.417526 samples/sec accuracy=45.294034 loss=2.352227 lr=0.009492 Epoch[048] Batch [1699]/[1880] Speed: 174.486425 samples/sec accuracy=45.271140 loss=2.353006 lr=0.009491 Epoch[048] Batch [1749]/[1880] Speed: 194.343926 samples/sec accuracy=45.255804 loss=2.353701 lr=0.009490 Epoch[048] Batch [1799]/[1880] Speed: 181.515999 samples/sec accuracy=45.230903 loss=2.354436 lr=0.009489 Epoch[048] Batch [1849]/[1880] Speed: 183.195665 samples/sec accuracy=45.198902 loss=2.356147 lr=0.009488 Batch [0049]/[0151]: acc-top1=39.578125 acc-top5=65.015625 Batch [0099]/[0151]: acc-top1=43.328125 acc-top5=67.679688 Batch [0149]/[0151]: acc-top1=42.343750 acc-top5=67.614583 [Epoch 048] training: accuracy=45.194897 loss=2.356994 [Epoch 048] speed: 185 samples/sec time cost: 1416.011686 [Epoch 048] validation: acc-top1=42.316846 acc-top5=67.575538 loss=2.540025 Epoch[049] Batch [0049]/[1880] Speed: 137.669457 samples/sec accuracy=46.593750 loss=2.301550 lr=0.009486 Epoch[049] Batch [0099]/[1880] Speed: 192.000559 samples/sec accuracy=46.585938 loss=2.295851 lr=0.009485 Epoch[049] Batch [0149]/[1880] Speed: 174.768779 samples/sec accuracy=46.786458 loss=2.293668 lr=0.009484 Epoch[049] Batch [0199]/[1880] Speed: 182.559776 samples/sec accuracy=46.640625 loss=2.298609 lr=0.009483 Epoch[049] Batch [0249]/[1880] Speed: 194.263211 samples/sec accuracy=46.453125 loss=2.304485 lr=0.009481 Epoch[049] Batch [0299]/[1880] Speed: 187.652426 samples/sec accuracy=46.453125 loss=2.304928 lr=0.009480 Epoch[049] Batch [0349]/[1880] Speed: 176.351271 samples/sec accuracy=46.345982 loss=2.307653 lr=0.009479 Epoch[049] Batch [0399]/[1880] Speed: 188.814376 samples/sec accuracy=46.330078 loss=2.308731 lr=0.009478 Epoch[049] Batch [0449]/[1880] Speed: 198.345575 samples/sec accuracy=46.260417 loss=2.310316 lr=0.009477 Epoch[049] Batch [0499]/[1880] Speed: 188.618990 samples/sec accuracy=46.084375 loss=2.316619 lr=0.009476 Epoch[049] Batch [0549]/[1880] Speed: 165.266890 samples/sec accuracy=46.034091 loss=2.320032 lr=0.009475 Epoch[049] Batch [0599]/[1880] Speed: 204.525978 samples/sec accuracy=46.033854 loss=2.320080 lr=0.009474 Epoch[049] Batch [0649]/[1880] Speed: 180.813980 samples/sec accuracy=46.039663 loss=2.320248 lr=0.009473 Epoch[049] Batch [0699]/[1880] Speed: 189.133249 samples/sec accuracy=45.955357 loss=2.323023 lr=0.009472 Epoch[049] Batch [0749]/[1880] Speed: 190.128742 samples/sec accuracy=45.898958 loss=2.323921 lr=0.009471 Epoch[049] Batch [0799]/[1880] Speed: 178.548422 samples/sec accuracy=45.868164 loss=2.324907 lr=0.009470 Epoch[049] Batch [0849]/[1880] Speed: 191.253572 samples/sec accuracy=45.827206 loss=2.326532 lr=0.009468 Epoch[049] Batch [0899]/[1880] Speed: 175.314114 samples/sec accuracy=45.768229 loss=2.327150 lr=0.009467 Epoch[049] Batch [0949]/[1880] Speed: 186.075590 samples/sec accuracy=45.740132 loss=2.329240 lr=0.009466 Epoch[049] Batch [0999]/[1880] Speed: 193.281767 samples/sec accuracy=45.754688 loss=2.328390 lr=0.009465 Epoch[049] Batch [1049]/[1880] Speed: 185.348725 samples/sec accuracy=45.766369 loss=2.327150 lr=0.009464 Epoch[049] Batch [1099]/[1880] Speed: 183.404717 samples/sec accuracy=45.739347 loss=2.328477 lr=0.009463 Epoch[049] Batch [1149]/[1880] Speed: 184.019061 samples/sec accuracy=45.686141 loss=2.329915 lr=0.009462 Epoch[049] Batch [1199]/[1880] Speed: 190.672934 samples/sec accuracy=45.659505 loss=2.330285 lr=0.009461 Epoch[049] Batch [1249]/[1880] Speed: 183.436003 samples/sec accuracy=45.678750 loss=2.329819 lr=0.009460 Epoch[049] Batch [1299]/[1880] Speed: 184.519602 samples/sec accuracy=45.637019 loss=2.331001 lr=0.009459 Epoch[049] Batch [1349]/[1880] Speed: 180.151409 samples/sec accuracy=45.640625 loss=2.330187 lr=0.009458 Epoch[049] Batch [1399]/[1880] Speed: 199.912507 samples/sec accuracy=45.615513 loss=2.332160 lr=0.009456 Epoch[049] Batch [1449]/[1880] Speed: 183.133088 samples/sec accuracy=45.607759 loss=2.333838 lr=0.009455 Epoch[049] Batch [1499]/[1880] Speed: 180.948445 samples/sec accuracy=45.583854 loss=2.335034 lr=0.009454 Epoch[049] Batch [1549]/[1880] Speed: 202.902155 samples/sec accuracy=45.600806 loss=2.334669 lr=0.009453 Epoch[049] Batch [1599]/[1880] Speed: 170.837608 samples/sec accuracy=45.600098 loss=2.334650 lr=0.009452 Epoch[049] Batch [1649]/[1880] Speed: 193.358486 samples/sec accuracy=45.617424 loss=2.335087 lr=0.009451 Epoch[049] Batch [1699]/[1880] Speed: 188.487362 samples/sec accuracy=45.596967 loss=2.335905 lr=0.009450 Epoch[049] Batch [1749]/[1880] Speed: 178.325566 samples/sec accuracy=45.583482 loss=2.336493 lr=0.009449 Epoch[049] Batch [1799]/[1880] Speed: 205.418322 samples/sec accuracy=45.577691 loss=2.337143 lr=0.009448 Epoch[049] Batch [1849]/[1880] Speed: 171.205863 samples/sec accuracy=45.592483 loss=2.336661 lr=0.009446 Batch [0049]/[0151]: acc-top1=39.656250 acc-top5=65.968750 Batch [0099]/[0151]: acc-top1=43.593750 acc-top5=68.296875 Batch [0149]/[0151]: acc-top1=42.546875 acc-top5=68.229167 [Epoch 049] training: accuracy=45.559757 loss=2.338121 [Epoch 049] speed: 185 samples/sec time cost: 1416.937498 [Epoch 049] validation: acc-top1=42.477235 acc-top5=68.180877 loss=2.518658 Epoch[050] Batch [0049]/[1880] Speed: 135.975887 samples/sec accuracy=46.984375 loss=2.280706 lr=0.009445 Epoch[050] Batch [0099]/[1880] Speed: 181.424386 samples/sec accuracy=47.062500 loss=2.270698 lr=0.009444 Epoch[050] Batch [0149]/[1880] Speed: 202.797836 samples/sec accuracy=46.973958 loss=2.276349 lr=0.009442 Epoch[050] Batch [0199]/[1880] Speed: 168.145304 samples/sec accuracy=46.738281 loss=2.290568 lr=0.009441 Epoch[050] Batch [0249]/[1880] Speed: 200.198540 samples/sec accuracy=46.662500 loss=2.288059 lr=0.009440 Epoch[050] Batch [0299]/[1880] Speed: 170.424424 samples/sec accuracy=46.635417 loss=2.289049 lr=0.009439 Epoch[050] Batch [0349]/[1880] Speed: 196.895112 samples/sec accuracy=46.571429 loss=2.291033 lr=0.009438 Epoch[050] Batch [0399]/[1880] Speed: 190.281549 samples/sec accuracy=46.541016 loss=2.292889 lr=0.009437 Epoch[050] Batch [0449]/[1880] Speed: 179.945199 samples/sec accuracy=46.416667 loss=2.296327 lr=0.009436 Epoch[050] Batch [0499]/[1880] Speed: 195.159100 samples/sec accuracy=46.389063 loss=2.296820 lr=0.009435 Epoch[050] Batch [0549]/[1880] Speed: 176.788274 samples/sec accuracy=46.431818 loss=2.296848 lr=0.009433 Epoch[050] Batch [0599]/[1880] Speed: 192.236064 samples/sec accuracy=46.377604 loss=2.297502 lr=0.009432 Epoch[050] Batch [0649]/[1880] Speed: 179.177219 samples/sec accuracy=46.301683 loss=2.300824 lr=0.009431 Epoch[050] Batch [0699]/[1880] Speed: 193.290223 samples/sec accuracy=46.203125 loss=2.302947 lr=0.009430 Epoch[050] Batch [0749]/[1880] Speed: 191.005909 samples/sec accuracy=46.109375 loss=2.306730 lr=0.009429 Epoch[050] Batch [0799]/[1880] Speed: 179.218741 samples/sec accuracy=46.100586 loss=2.308385 lr=0.009428 Epoch[050] Batch [0849]/[1880] Speed: 182.924039 samples/sec accuracy=46.087316 loss=2.309670 lr=0.009427 Epoch[050] Batch [0899]/[1880] Speed: 192.854356 samples/sec accuracy=46.100694 loss=2.308191 lr=0.009426 Epoch[050] Batch [0949]/[1880] Speed: 183.891285 samples/sec accuracy=46.088816 loss=2.310105 lr=0.009424 Epoch[050] Batch [0999]/[1880] Speed: 199.615308 samples/sec accuracy=46.043750 loss=2.313360 lr=0.009423 Epoch[050] Batch [1049]/[1880] Speed: 165.246675 samples/sec accuracy=46.052827 loss=2.313961 lr=0.009422 Epoch[050] Batch [1099]/[1880] Speed: 202.263806 samples/sec accuracy=46.040483 loss=2.315365 lr=0.009421 Epoch[050] Batch [1149]/[1880] Speed: 194.227035 samples/sec accuracy=46.063179 loss=2.314530 lr=0.009420 Epoch[050] Batch [1199]/[1880] Speed: 173.094027 samples/sec accuracy=45.986979 loss=2.316734 lr=0.009419 Epoch[050] Batch [1249]/[1880] Speed: 198.504380 samples/sec accuracy=45.984375 loss=2.316787 lr=0.009418 Epoch[050] Batch [1299]/[1880] Speed: 179.400222 samples/sec accuracy=45.956130 loss=2.317839 lr=0.009417 Epoch[050] Batch [1349]/[1880] Speed: 184.590804 samples/sec accuracy=45.936343 loss=2.319100 lr=0.009415 Epoch[050] Batch [1399]/[1880] Speed: 188.584199 samples/sec accuracy=45.889509 loss=2.321305 lr=0.009414 Epoch[050] Batch [1449]/[1880] Speed: 179.670456 samples/sec accuracy=45.885237 loss=2.321387 lr=0.009413 Epoch[050] Batch [1499]/[1880] Speed: 186.237121 samples/sec accuracy=45.877604 loss=2.321575 lr=0.009412 Epoch[050] Batch [1549]/[1880] Speed: 188.249573 samples/sec accuracy=45.851310 loss=2.322740 lr=0.009411 Epoch[050] Batch [1599]/[1880] Speed: 195.724475 samples/sec accuracy=45.845703 loss=2.324295 lr=0.009410 Epoch[050] Batch [1649]/[1880] Speed: 171.092515 samples/sec accuracy=45.860795 loss=2.323670 lr=0.009409 Epoch[050] Batch [1699]/[1880] Speed: 201.254481 samples/sec accuracy=45.856618 loss=2.324006 lr=0.009407 Epoch[050] Batch [1749]/[1880] Speed: 179.185205 samples/sec accuracy=45.860268 loss=2.324466 lr=0.009406 Epoch[050] Batch [1799]/[1880] Speed: 191.134853 samples/sec accuracy=45.832899 loss=2.324777 lr=0.009405 Epoch[050] Batch [1849]/[1880] Speed: 175.411378 samples/sec accuracy=45.817990 loss=2.324973 lr=0.009404 Batch [0049]/[0151]: acc-top1=38.906250 acc-top5=64.609375 Batch [0099]/[0151]: acc-top1=43.179688 acc-top5=67.890625 Batch [0149]/[0151]: acc-top1=41.911458 acc-top5=67.796875 [Epoch 050] training: accuracy=45.804937 loss=2.325042 [Epoch 050] speed: 185 samples/sec time cost: 1416.604374 [Epoch 050] validation: acc-top1=41.866722 acc-top5=67.782492 loss=2.541581 Epoch[051] Batch [0049]/[1880] Speed: 127.667336 samples/sec accuracy=47.671875 loss=2.248689 lr=0.009402 Epoch[051] Batch [0099]/[1880] Speed: 203.176622 samples/sec accuracy=47.679688 loss=2.243859 lr=0.009401 Epoch[051] Batch [0149]/[1880] Speed: 187.547805 samples/sec accuracy=47.593750 loss=2.246394 lr=0.009400 Epoch[051] Batch [0199]/[1880] Speed: 178.926437 samples/sec accuracy=47.312500 loss=2.255488 lr=0.009399 Epoch[051] Batch [0249]/[1880] Speed: 204.868226 samples/sec accuracy=47.090625 loss=2.263604 lr=0.009397 Epoch[051] Batch [0299]/[1880] Speed: 170.072874 samples/sec accuracy=46.783854 loss=2.279548 lr=0.009396 Epoch[051] Batch [0349]/[1880] Speed: 192.570350 samples/sec accuracy=46.736607 loss=2.286225 lr=0.009395 Epoch[051] Batch [0399]/[1880] Speed: 184.682294 samples/sec accuracy=46.660156 loss=2.288120 lr=0.009394 Epoch[051] Batch [0449]/[1880] Speed: 176.839251 samples/sec accuracy=46.762153 loss=2.284339 lr=0.009393 Epoch[051] Batch [0499]/[1880] Speed: 204.549787 samples/sec accuracy=46.634375 loss=2.290229 lr=0.009392 Epoch[051] Batch [0549]/[1880] Speed: 174.189307 samples/sec accuracy=46.744318 loss=2.282960 lr=0.009391 Epoch[051] Batch [0599]/[1880] Speed: 187.318926 samples/sec accuracy=46.733073 loss=2.283427 lr=0.009389 Epoch[051] Batch [0649]/[1880] Speed: 190.787161 samples/sec accuracy=46.730769 loss=2.281162 lr=0.009388 Epoch[051] Batch [0699]/[1880] Speed: 182.076682 samples/sec accuracy=46.693080 loss=2.284772 lr=0.009387 Epoch[051] Batch [0749]/[1880] Speed: 183.109064 samples/sec accuracy=46.681250 loss=2.285891 lr=0.009386 Epoch[051] Batch [0799]/[1880] Speed: 192.012711 samples/sec accuracy=46.648438 loss=2.288597 lr=0.009385 Epoch[051] Batch [0849]/[1880] Speed: 186.380162 samples/sec accuracy=46.650735 loss=2.288863 lr=0.009384 Epoch[051] Batch [0899]/[1880] Speed: 182.035946 samples/sec accuracy=46.681424 loss=2.287576 lr=0.009382 Epoch[051] Batch [0949]/[1880] Speed: 193.479501 samples/sec accuracy=46.641447 loss=2.288140 lr=0.009381 Epoch[051] Batch [0999]/[1880] Speed: 176.600268 samples/sec accuracy=46.652344 loss=2.287948 lr=0.009380 Epoch[051] Batch [1049]/[1880] Speed: 186.239407 samples/sec accuracy=46.636905 loss=2.289975 lr=0.009379 Epoch[051] Batch [1099]/[1880] Speed: 194.861091 samples/sec accuracy=46.664773 loss=2.289627 lr=0.009378 Epoch[051] Batch [1149]/[1880] Speed: 193.354723 samples/sec accuracy=46.650136 loss=2.290985 lr=0.009376 Epoch[051] Batch [1199]/[1880] Speed: 169.703950 samples/sec accuracy=46.589844 loss=2.292190 lr=0.009375 Epoch[051] Batch [1249]/[1880] Speed: 200.970632 samples/sec accuracy=46.580000 loss=2.292676 lr=0.009374 Epoch[051] Batch [1299]/[1880] Speed: 170.422074 samples/sec accuracy=46.525841 loss=2.295906 lr=0.009373 Epoch[051] Batch [1349]/[1880] Speed: 193.195633 samples/sec accuracy=46.493634 loss=2.297132 lr=0.009372 Epoch[051] Batch [1399]/[1880] Speed: 189.000292 samples/sec accuracy=46.438616 loss=2.299089 lr=0.009371 Epoch[051] Batch [1449]/[1880] Speed: 176.872690 samples/sec accuracy=46.455280 loss=2.299522 lr=0.009369 Epoch[051] Batch [1499]/[1880] Speed: 199.470311 samples/sec accuracy=46.404688 loss=2.300407 lr=0.009368 Epoch[051] Batch [1549]/[1880] Speed: 186.968225 samples/sec accuracy=46.371976 loss=2.301185 lr=0.009367 Epoch[051] Batch [1599]/[1880] Speed: 174.883612 samples/sec accuracy=46.364258 loss=2.301750 lr=0.009366 Epoch[051] Batch [1649]/[1880] Speed: 198.786985 samples/sec accuracy=46.348011 loss=2.302485 lr=0.009365 Epoch[051] Batch [1699]/[1880] Speed: 180.678486 samples/sec accuracy=46.338695 loss=2.302641 lr=0.009363 Epoch[051] Batch [1749]/[1880] Speed: 178.829046 samples/sec accuracy=46.332589 loss=2.303022 lr=0.009362 Epoch[051] Batch [1799]/[1880] Speed: 203.457649 samples/sec accuracy=46.313368 loss=2.303062 lr=0.009361 Epoch[051] Batch [1849]/[1880] Speed: 183.323687 samples/sec accuracy=46.305743 loss=2.303031 lr=0.009360 Batch [0049]/[0151]: acc-top1=39.640625 acc-top5=65.390625 Batch [0099]/[0151]: acc-top1=43.671875 acc-top5=67.992188 Batch [0149]/[0151]: acc-top1=43.015625 acc-top5=68.317708 [Epoch 051] training: accuracy=46.281167 loss=2.303932 [Epoch 051] speed: 184 samples/sec time cost: 1418.117531 [Epoch 051] validation: acc-top1=42.973924 acc-top5=68.294702 loss=2.500103 Epoch[052] Batch [0049]/[1879] Speed: 133.582039 samples/sec accuracy=47.906250 loss=2.221650 lr=0.009358 Epoch[052] Batch [0099]/[1879] Speed: 194.130150 samples/sec accuracy=47.609375 loss=2.227047 lr=0.009357 Epoch[052] Batch [0149]/[1879] Speed: 173.979375 samples/sec accuracy=47.442708 loss=2.240012 lr=0.009356 Epoch[052] Batch [0199]/[1879] Speed: 202.062065 samples/sec accuracy=47.453125 loss=2.234268 lr=0.009354 Epoch[052] Batch [0249]/[1879] Speed: 174.056359 samples/sec accuracy=47.346875 loss=2.237667 lr=0.009353 Epoch[052] Batch [0299]/[1879] Speed: 192.972044 samples/sec accuracy=47.234375 loss=2.247084 lr=0.009352 Epoch[052] Batch [0349]/[1879] Speed: 188.757591 samples/sec accuracy=47.169643 loss=2.251887 lr=0.009351 Epoch[052] Batch [0399]/[1879] Speed: 181.006783 samples/sec accuracy=46.972656 loss=2.256335 lr=0.009350 Epoch[052] Batch [0449]/[1879] Speed: 196.687489 samples/sec accuracy=47.072917 loss=2.255911 lr=0.009348 Epoch[052] Batch [0499]/[1879] Speed: 166.217048 samples/sec accuracy=47.037500 loss=2.257907 lr=0.009347 Epoch[052] Batch [0549]/[1879] Speed: 207.316149 samples/sec accuracy=47.063920 loss=2.259211 lr=0.009346 Epoch[052] Batch [0599]/[1879] Speed: 167.372930 samples/sec accuracy=46.990885 loss=2.261506 lr=0.009345 Epoch[052] Batch [0649]/[1879] Speed: 202.220935 samples/sec accuracy=46.996394 loss=2.263620 lr=0.009344 Epoch[052] Batch [0699]/[1879] Speed: 182.495976 samples/sec accuracy=46.890625 loss=2.269275 lr=0.009342 Epoch[052] Batch [0749]/[1879] Speed: 187.180488 samples/sec accuracy=46.850000 loss=2.271264 lr=0.009341 Epoch[052] Batch [0799]/[1879] Speed: 191.423361 samples/sec accuracy=46.894531 loss=2.268544 lr=0.009340 Epoch[052] Batch [0849]/[1879] Speed: 173.121897 samples/sec accuracy=46.841912 loss=2.269606 lr=0.009339 Epoch[052] Batch [0899]/[1879] Speed: 203.621511 samples/sec accuracy=46.848958 loss=2.269843 lr=0.009338 Epoch[052] Batch [0949]/[1879] Speed: 170.988714 samples/sec accuracy=46.913651 loss=2.267363 lr=0.009336 Epoch[052] Batch [0999]/[1879] Speed: 195.995596 samples/sec accuracy=46.765625 loss=2.274243 lr=0.009335 Epoch[052] Batch [1049]/[1879] Speed: 175.931510 samples/sec accuracy=46.783482 loss=2.274272 lr=0.009334 Epoch[052] Batch [1099]/[1879] Speed: 186.621899 samples/sec accuracy=46.749290 loss=2.275625 lr=0.009333 Epoch[052] Batch [1149]/[1879] Speed: 200.359801 samples/sec accuracy=46.710598 loss=2.276407 lr=0.009332 Epoch[052] Batch [1199]/[1879] Speed: 172.693265 samples/sec accuracy=46.736328 loss=2.275922 lr=0.009330 Epoch[052] Batch [1249]/[1879] Speed: 199.589977 samples/sec accuracy=46.721250 loss=2.276561 lr=0.009329 Epoch[052] Batch [1299]/[1879] Speed: 173.378275 samples/sec accuracy=46.705529 loss=2.278054 lr=0.009328 Epoch[052] Batch [1349]/[1879] Speed: 191.384167 samples/sec accuracy=46.697917 loss=2.279254 lr=0.009327 Epoch[052] Batch [1399]/[1879] Speed: 190.711540 samples/sec accuracy=46.707031 loss=2.279630 lr=0.009325 Epoch[052] Batch [1449]/[1879] Speed: 178.005000 samples/sec accuracy=46.711207 loss=2.280491 lr=0.009324 Epoch[052] Batch [1499]/[1879] Speed: 192.814244 samples/sec accuracy=46.697396 loss=2.280273 lr=0.009323 Epoch[052] Batch [1549]/[1879] Speed: 180.887305 samples/sec accuracy=46.650202 loss=2.281247 lr=0.009322 Epoch[052] Batch [1599]/[1879] Speed: 180.767514 samples/sec accuracy=46.615234 loss=2.283192 lr=0.009321 Epoch[052] Batch [1649]/[1879] Speed: 201.362080 samples/sec accuracy=46.571970 loss=2.284625 lr=0.009319 Epoch[052] Batch [1699]/[1879] Speed: 184.799736 samples/sec accuracy=46.548713 loss=2.286886 lr=0.009318 Epoch[052] Batch [1749]/[1879] Speed: 177.141765 samples/sec accuracy=46.535714 loss=2.287638 lr=0.009317 Epoch[052] Batch [1799]/[1879] Speed: 197.543086 samples/sec accuracy=46.544705 loss=2.287629 lr=0.009316 Epoch[052] Batch [1849]/[1879] Speed: 169.647503 samples/sec accuracy=46.537584 loss=2.288122 lr=0.009314 Batch [0049]/[0151]: acc-top1=40.234375 acc-top5=65.203125 Batch [0099]/[0151]: acc-top1=43.539062 acc-top5=68.343750 Batch [0149]/[0151]: acc-top1=43.015625 acc-top5=68.515625 [Epoch 052] training: accuracy=46.539882 loss=2.288276 [Epoch 052] speed: 184 samples/sec time cost: 1417.764931 [Epoch 052] validation: acc-top1=42.968750 acc-top5=68.491308 loss=2.506141 Epoch[053] Batch [0049]/[1880] Speed: 134.015132 samples/sec accuracy=47.359375 loss=2.231637 lr=0.009313 Epoch[053] Batch [0099]/[1880] Speed: 184.384918 samples/sec accuracy=47.000000 loss=2.259538 lr=0.009311 Epoch[053] Batch [0149]/[1880] Speed: 191.053270 samples/sec accuracy=46.901042 loss=2.268635 lr=0.009310 Epoch[053] Batch [0199]/[1880] Speed: 183.159764 samples/sec accuracy=47.128906 loss=2.265341 lr=0.009309 Epoch[053] Batch [0249]/[1880] Speed: 186.919064 samples/sec accuracy=47.262500 loss=2.258350 lr=0.009308 Epoch[053] Batch [0299]/[1880] Speed: 180.973588 samples/sec accuracy=47.234375 loss=2.257598 lr=0.009306 Epoch[053] Batch [0349]/[1880] Speed: 201.402229 samples/sec accuracy=47.330357 loss=2.255408 lr=0.009305 Epoch[053] Batch [0399]/[1880] Speed: 175.658600 samples/sec accuracy=47.343750 loss=2.252442 lr=0.009304 Epoch[053] Batch [0449]/[1880] Speed: 190.348614 samples/sec accuracy=47.227431 loss=2.254664 lr=0.009303 Epoch[053] Batch [0499]/[1880] Speed: 185.837357 samples/sec accuracy=47.156250 loss=2.257802 lr=0.009301 Epoch[053] Batch [0549]/[1880] Speed: 191.816243 samples/sec accuracy=47.174716 loss=2.256279 lr=0.009300 Epoch[053] Batch [0599]/[1880] Speed: 190.470778 samples/sec accuracy=47.201823 loss=2.255771 lr=0.009299 Epoch[053] Batch [0649]/[1880] Speed: 178.538092 samples/sec accuracy=47.188702 loss=2.255401 lr=0.009298 Epoch[053] Batch [0699]/[1880] Speed: 198.206085 samples/sec accuracy=47.155134 loss=2.257164 lr=0.009296 Epoch[053] Batch [0749]/[1880] Speed: 172.415209 samples/sec accuracy=47.107292 loss=2.260269 lr=0.009295 Epoch[053] Batch [0799]/[1880] Speed: 197.990037 samples/sec accuracy=47.085938 loss=2.259731 lr=0.009294 Epoch[053] Batch [0849]/[1880] Speed: 178.134700 samples/sec accuracy=47.081801 loss=2.258915 lr=0.009293 Epoch[053] Batch [0899]/[1880] Speed: 196.145235 samples/sec accuracy=47.011285 loss=2.261069 lr=0.009291 Epoch[053] Batch [0949]/[1880] Speed: 179.709650 samples/sec accuracy=47.028783 loss=2.260669 lr=0.009290 Epoch[053] Batch [0999]/[1880] Speed: 185.576340 samples/sec accuracy=47.007031 loss=2.260815 lr=0.009289 Epoch[053] Batch [1049]/[1880] Speed: 193.211231 samples/sec accuracy=46.968750 loss=2.262170 lr=0.009288 Epoch[053] Batch [1099]/[1880] Speed: 170.971106 samples/sec accuracy=46.955256 loss=2.262819 lr=0.009286 Epoch[053] Batch [1149]/[1880] Speed: 193.463189 samples/sec accuracy=46.965353 loss=2.263557 lr=0.009285 Epoch[053] Batch [1199]/[1880] Speed: 195.448784 samples/sec accuracy=47.009766 loss=2.261943 lr=0.009284 Epoch[053] Batch [1249]/[1880] Speed: 179.577019 samples/sec accuracy=46.994375 loss=2.262705 lr=0.009283 Epoch[053] Batch [1299]/[1880] Speed: 197.213781 samples/sec accuracy=46.990385 loss=2.263570 lr=0.009281 Epoch[053] Batch [1349]/[1880] Speed: 174.995259 samples/sec accuracy=46.973958 loss=2.265209 lr=0.009280 Epoch[053] Batch [1399]/[1880] Speed: 189.993553 samples/sec accuracy=46.938058 loss=2.266492 lr=0.009279 Epoch[053] Batch [1449]/[1880] Speed: 184.446081 samples/sec accuracy=46.942349 loss=2.266994 lr=0.009278 Epoch[053] Batch [1499]/[1880] Speed: 192.446987 samples/sec accuracy=46.903646 loss=2.269149 lr=0.009276 Epoch[053] Batch [1549]/[1880] Speed: 188.801090 samples/sec accuracy=46.867440 loss=2.270665 lr=0.009275 Epoch[053] Batch [1599]/[1880] Speed: 167.903183 samples/sec accuracy=46.871094 loss=2.270283 lr=0.009274 Epoch[053] Batch [1649]/[1880] Speed: 202.330026 samples/sec accuracy=46.820549 loss=2.271946 lr=0.009273 Epoch[053] Batch [1699]/[1880] Speed: 173.565752 samples/sec accuracy=46.806526 loss=2.272250 lr=0.009271 Epoch[053] Batch [1749]/[1880] Speed: 187.628658 samples/sec accuracy=46.814732 loss=2.271174 lr=0.009270 Epoch[053] Batch [1799]/[1880] Speed: 199.649271 samples/sec accuracy=46.810764 loss=2.271855 lr=0.009269 Epoch[053] Batch [1849]/[1880] Speed: 178.754295 samples/sec accuracy=46.826014 loss=2.272202 lr=0.009268 Batch [0049]/[0151]: acc-top1=41.031250 acc-top5=66.593750 Batch [0099]/[0151]: acc-top1=44.187500 acc-top5=68.812500 Batch [0149]/[0151]: acc-top1=43.640625 acc-top5=68.807292 [Epoch 053] training: accuracy=46.821809 loss=2.272288 [Epoch 053] speed: 185 samples/sec time cost: 1415.247626 [Epoch 053] validation: acc-top1=43.574089 acc-top5=68.760348 loss=2.480933 Epoch[054] Batch [0049]/[1880] Speed: 136.453597 samples/sec accuracy=47.984375 loss=2.243364 lr=0.009266 Epoch[054] Batch [0099]/[1880] Speed: 185.462205 samples/sec accuracy=48.132812 loss=2.228887 lr=0.009264 Epoch[054] Batch [0149]/[1880] Speed: 185.521065 samples/sec accuracy=48.156250 loss=2.224684 lr=0.009263 Epoch[054] Batch [0199]/[1880] Speed: 188.796671 samples/sec accuracy=48.292969 loss=2.226932 lr=0.009262 Epoch[054] Batch [0249]/[1880] Speed: 179.458535 samples/sec accuracy=48.356250 loss=2.224519 lr=0.009260 Epoch[054] Batch [0299]/[1880] Speed: 198.423100 samples/sec accuracy=48.179688 loss=2.231959 lr=0.009259 Epoch[054] Batch [0349]/[1880] Speed: 186.172171 samples/sec accuracy=48.142857 loss=2.230397 lr=0.009258 Epoch[054] Batch [0399]/[1880] Speed: 188.009981 samples/sec accuracy=48.042969 loss=2.231217 lr=0.009257 Epoch[054] Batch [0449]/[1880] Speed: 167.440853 samples/sec accuracy=48.034722 loss=2.229565 lr=0.009255 Epoch[054] Batch [0499]/[1880] Speed: 203.519763 samples/sec accuracy=47.973437 loss=2.235622 lr=0.009254 Epoch[054] Batch [0549]/[1880] Speed: 194.809603 samples/sec accuracy=47.897727 loss=2.236217 lr=0.009253 Epoch[054] Batch [0599]/[1880] Speed: 175.452635 samples/sec accuracy=47.841146 loss=2.239923 lr=0.009252 Epoch[054] Batch [0649]/[1880] Speed: 188.827187 samples/sec accuracy=47.759615 loss=2.241643 lr=0.009250 Epoch[054] Batch [0699]/[1880] Speed: 184.307536 samples/sec accuracy=47.698661 loss=2.243712 lr=0.009249 Epoch[054] Batch [0749]/[1880] 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accuracy=47.462891 loss=2.250266 lr=0.009236 Epoch[054] Batch [1249]/[1880] Speed: 184.999242 samples/sec accuracy=47.446875 loss=2.251660 lr=0.009235 Epoch[054] Batch [1299]/[1880] Speed: 178.694922 samples/sec accuracy=47.478966 loss=2.251205 lr=0.009234 Epoch[054] Batch [1349]/[1880] Speed: 200.976309 samples/sec accuracy=47.446181 loss=2.252304 lr=0.009232 Epoch[054] Batch [1399]/[1880] Speed: 175.684675 samples/sec accuracy=47.417411 loss=2.253596 lr=0.009231 Epoch[054] Batch [1449]/[1880] Speed: 190.119456 samples/sec accuracy=47.376078 loss=2.256799 lr=0.009230 Epoch[054] Batch [1499]/[1880] Speed: 191.406251 samples/sec accuracy=47.351042 loss=2.258281 lr=0.009228 Epoch[054] Batch [1549]/[1880] Speed: 178.586290 samples/sec accuracy=47.311996 loss=2.259824 lr=0.009227 Epoch[054] Batch [1599]/[1880] Speed: 193.877980 samples/sec accuracy=47.313965 loss=2.259667 lr=0.009226 Epoch[054] Batch [1649]/[1880] Speed: 169.527392 samples/sec accuracy=47.304924 loss=2.259689 lr=0.009224 Epoch[054] Batch [1699]/[1880] Speed: 203.953681 samples/sec accuracy=47.293199 loss=2.259160 lr=0.009223 Epoch[054] Batch [1749]/[1880] Speed: 190.102764 samples/sec accuracy=47.282589 loss=2.260113 lr=0.009222 Epoch[054] Batch [1799]/[1880] Speed: 179.239848 samples/sec accuracy=47.284288 loss=2.260000 lr=0.009221 Epoch[054] Batch [1849]/[1880] Speed: 189.208162 samples/sec accuracy=47.297297 loss=2.259026 lr=0.009219 Batch [0049]/[0151]: acc-top1=39.765625 acc-top5=65.187500 Batch [0099]/[0151]: acc-top1=43.453125 acc-top5=67.976562 Batch [0149]/[0151]: acc-top1=42.760417 acc-top5=67.848958 [Epoch 054] training: accuracy=47.276845 loss=2.259376 [Epoch 054] speed: 185 samples/sec time cost: 1415.807933 [Epoch 054] validation: acc-top1=42.689363 acc-top5=67.834230 loss=2.536628 Epoch[055] Batch [0049]/[1880] Speed: 133.887707 samples/sec accuracy=48.062500 loss=2.199905 lr=0.009217 Epoch[055] Batch [0099]/[1880] Speed: 188.448615 samples/sec accuracy=48.023438 loss=2.198605 lr=0.009216 Epoch[055] Batch [0149]/[1880] Speed: 182.562089 samples/sec accuracy=48.114583 loss=2.202098 lr=0.009215 Epoch[055] Batch [0199]/[1880] Speed: 192.372416 samples/sec accuracy=48.226562 loss=2.200687 lr=0.009213 Epoch[055] Batch [0249]/[1880] Speed: 187.432005 samples/sec accuracy=48.368750 loss=2.203267 lr=0.009212 Epoch[055] Batch [0299]/[1880] Speed: 186.831456 samples/sec accuracy=48.145833 loss=2.211053 lr=0.009211 Epoch[055] Batch [0349]/[1880] Speed: 177.868509 samples/sec accuracy=48.089286 loss=2.213549 lr=0.009209 Epoch[055] Batch [0399]/[1880] Speed: 208.976167 samples/sec accuracy=48.181641 loss=2.214032 lr=0.009208 Epoch[055] Batch [0449]/[1880] Speed: 162.626100 samples/sec accuracy=48.046875 loss=2.218399 lr=0.009207 Epoch[055] Batch [0499]/[1880] Speed: 204.213247 samples/sec accuracy=47.946875 loss=2.222707 lr=0.009205 Epoch[055] Batch [0549]/[1880] Speed: 189.565216 samples/sec accuracy=47.934659 loss=2.222691 lr=0.009204 Epoch[055] Batch [0599]/[1880] Speed: 177.767085 samples/sec accuracy=47.971354 loss=2.221998 lr=0.009203 Epoch[055] Batch [0649]/[1880] Speed: 199.019744 samples/sec accuracy=47.908654 loss=2.223542 lr=0.009201 Epoch[055] Batch [0699]/[1880] Speed: 172.542502 samples/sec accuracy=47.794643 loss=2.225922 lr=0.009200 Epoch[055] Batch [0749]/[1880] Speed: 202.487694 samples/sec accuracy=47.775000 loss=2.226453 lr=0.009199 Epoch[055] Batch [0799]/[1880] Speed: 170.597259 samples/sec accuracy=47.785156 loss=2.226249 lr=0.009198 Epoch[055] Batch [0849]/[1880] Speed: 198.250949 samples/sec accuracy=47.715074 loss=2.227409 lr=0.009196 Epoch[055] Batch [0899]/[1880] Speed: 184.921946 samples/sec accuracy=47.668403 loss=2.230565 lr=0.009195 Epoch[055] Batch [0949]/[1880] Speed: 175.172297 samples/sec accuracy=47.583059 loss=2.232368 lr=0.009194 Epoch[055] Batch [0999]/[1880] Speed: 201.474022 samples/sec accuracy=47.600781 loss=2.232587 lr=0.009192 Epoch[055] Batch [1049]/[1880] Speed: 167.554095 samples/sec accuracy=47.602679 loss=2.233002 lr=0.009191 Epoch[055] Batch [1099]/[1880] Speed: 208.831474 samples/sec accuracy=47.566051 loss=2.235628 lr=0.009190 Epoch[055] Batch [1149]/[1880] Speed: 181.199668 samples/sec accuracy=47.565897 loss=2.236817 lr=0.009188 Epoch[055] Batch [1199]/[1880] Speed: 180.451367 samples/sec accuracy=47.553385 loss=2.237513 lr=0.009187 Epoch[055] Batch [1249]/[1880] Speed: 202.033389 samples/sec accuracy=47.484375 loss=2.240569 lr=0.009186 Epoch[055] Batch [1299]/[1880] Speed: 179.608374 samples/sec accuracy=47.485577 loss=2.241240 lr=0.009184 Epoch[055] Batch [1349]/[1880] Speed: 179.169321 samples/sec accuracy=47.445602 loss=2.242765 lr=0.009183 Epoch[055] Batch [1399]/[1880] Speed: 197.697907 samples/sec accuracy=47.409598 loss=2.243499 lr=0.009182 Epoch[055] Batch [1449]/[1880] Speed: 176.551567 samples/sec accuracy=47.441810 loss=2.241645 lr=0.009180 Epoch[055] Batch [1499]/[1880] Speed: 188.354794 samples/sec accuracy=47.466667 loss=2.241020 lr=0.009179 Epoch[055] Batch [1549]/[1880] Speed: 203.143492 samples/sec accuracy=47.459677 loss=2.240929 lr=0.009178 Epoch[055] Batch [1599]/[1880] Speed: 163.945114 samples/sec accuracy=47.437988 loss=2.242907 lr=0.009176 Epoch[055] Batch [1649]/[1880] Speed: 211.291625 samples/sec accuracy=47.414299 loss=2.244370 lr=0.009175 Epoch[055] Batch [1699]/[1880] Speed: 177.596234 samples/sec accuracy=47.384191 loss=2.245365 lr=0.009174 Epoch[055] Batch [1749]/[1880] Speed: 182.932843 samples/sec accuracy=47.385714 loss=2.245463 lr=0.009172 Epoch[055] Batch [1799]/[1880] Speed: 191.235664 samples/sec accuracy=47.386719 loss=2.246118 lr=0.009171 Epoch[055] Batch [1849]/[1880] Speed: 174.886458 samples/sec accuracy=47.356841 loss=2.247462 lr=0.009170 Batch [0049]/[0151]: acc-top1=39.687500 acc-top5=65.328125 Batch [0099]/[0151]: acc-top1=44.265625 acc-top5=68.218750 Batch [0149]/[0151]: acc-top1=43.484375 acc-top5=68.437500 [Epoch 055] training: accuracy=47.344581 loss=2.248008 [Epoch 055] speed: 185 samples/sec time cost: 1415.382204 [Epoch 055] validation: acc-top1=43.470613 acc-top5=68.418874 loss=2.491628 Epoch[056] Batch [0049]/[1880] Speed: 136.637954 samples/sec accuracy=48.718750 loss=2.196727 lr=0.009167 Epoch[056] Batch [0099]/[1880] Speed: 179.994903 samples/sec accuracy=48.390625 loss=2.203722 lr=0.009166 Epoch[056] Batch [0149]/[1880] Speed: 192.881797 samples/sec accuracy=48.208333 loss=2.213293 lr=0.009165 Epoch[056] Batch [0199]/[1880] Speed: 181.327035 samples/sec accuracy=48.113281 loss=2.221605 lr=0.009163 Epoch[056] Batch [0249]/[1880] Speed: 193.055264 samples/sec accuracy=48.021875 loss=2.218899 lr=0.009162 Epoch[056] Batch [0299]/[1880] Speed: 198.186040 samples/sec accuracy=48.166667 loss=2.209265 lr=0.009161 Epoch[056] Batch [0349]/[1880] Speed: 168.936364 samples/sec accuracy=48.225446 loss=2.208112 lr=0.009159 Epoch[056] Batch [0399]/[1880] Speed: 203.936295 samples/sec accuracy=48.216797 loss=2.205111 lr=0.009158 Epoch[056] Batch [0449]/[1880] Speed: 174.430555 samples/sec accuracy=48.137153 loss=2.206133 lr=0.009157 Epoch[056] Batch [0499]/[1880] Speed: 193.448070 samples/sec accuracy=48.007812 loss=2.210495 lr=0.009155 Epoch[056] Batch [0549]/[1880] Speed: 172.728525 samples/sec accuracy=48.103693 loss=2.209566 lr=0.009154 Epoch[056] Batch [0599]/[1880] Speed: 196.365654 samples/sec accuracy=48.222656 loss=2.205100 lr=0.009153 Epoch[056] Batch [0649]/[1880] Speed: 185.926291 samples/sec accuracy=48.253606 loss=2.202838 lr=0.009151 Epoch[056] Batch [0699]/[1880] Speed: 180.307517 samples/sec accuracy=48.273438 loss=2.203583 lr=0.009150 Epoch[056] Batch [0749]/[1880] Speed: 185.452965 samples/sec accuracy=48.272917 loss=2.200984 lr=0.009149 Epoch[056] Batch [0799]/[1880] Speed: 179.689429 samples/sec accuracy=48.243164 loss=2.201787 lr=0.009147 Epoch[056] Batch [0849]/[1880] Speed: 179.137209 samples/sec accuracy=48.226103 loss=2.201159 lr=0.009146 Epoch[056] Batch [0899]/[1880] Speed: 201.358902 samples/sec accuracy=48.155382 loss=2.205940 lr=0.009144 Epoch[056] Batch [0949]/[1880] Speed: 188.307323 samples/sec accuracy=48.091283 loss=2.208395 lr=0.009143 Epoch[056] Batch [0999]/[1880] Speed: 173.346220 samples/sec accuracy=48.037500 loss=2.211929 lr=0.009142 Epoch[056] Batch [1049]/[1880] Speed: 198.988471 samples/sec accuracy=48.014137 loss=2.212892 lr=0.009140 Epoch[056] Batch [1099]/[1880] Speed: 180.720272 samples/sec accuracy=48.002841 loss=2.213014 lr=0.009139 Epoch[056] Batch [1149]/[1880] Speed: 183.299142 samples/sec accuracy=47.986413 loss=2.213305 lr=0.009138 Epoch[056] Batch [1199]/[1880] Speed: 187.749927 samples/sec accuracy=47.942057 loss=2.215266 lr=0.009136 Epoch[056] Batch [1249]/[1880] Speed: 184.479886 samples/sec accuracy=47.889375 loss=2.216997 lr=0.009135 Epoch[056] Batch [1299]/[1880] Speed: 194.550095 samples/sec accuracy=47.896034 loss=2.216760 lr=0.009134 Epoch[056] Batch [1349]/[1880] Speed: 177.029302 samples/sec accuracy=47.893519 loss=2.216809 lr=0.009132 Epoch[056] Batch [1399]/[1880] Speed: 190.541081 samples/sec accuracy=47.844308 loss=2.218904 lr=0.009131 Epoch[056] Batch [1449]/[1880] Speed: 197.642753 samples/sec accuracy=47.844828 loss=2.219557 lr=0.009129 Epoch[056] Batch [1499]/[1880] Speed: 166.382798 samples/sec accuracy=47.866146 loss=2.219355 lr=0.009128 Epoch[056] Batch [1549]/[1880] Speed: 194.690952 samples/sec accuracy=47.872984 loss=2.219580 lr=0.009127 Epoch[056] Batch [1599]/[1880] Speed: 185.397320 samples/sec accuracy=47.842285 loss=2.221611 lr=0.009125 Epoch[056] Batch [1649]/[1880] Speed: 199.716266 samples/sec accuracy=47.800663 loss=2.223250 lr=0.009124 Epoch[056] Batch [1699]/[1880] Speed: 185.236096 samples/sec accuracy=47.789982 loss=2.223186 lr=0.009123 Epoch[056] Batch [1749]/[1880] Speed: 166.261107 samples/sec accuracy=47.747321 loss=2.224434 lr=0.009121 Epoch[056] Batch [1799]/[1880] Speed: 195.616460 samples/sec accuracy=47.721788 loss=2.225497 lr=0.009120 Epoch[056] Batch [1849]/[1880] Speed: 182.838872 samples/sec accuracy=47.716216 loss=2.226171 lr=0.009118 Batch [0049]/[0151]: acc-top1=41.796875 acc-top5=66.890625 Batch [0099]/[0151]: acc-top1=45.265625 acc-top5=69.695312 Batch [0149]/[0151]: acc-top1=44.296875 acc-top5=69.593750 [Epoch 056] training: accuracy=47.708610 loss=2.227059 [Epoch 056] speed: 184 samples/sec time cost: 1420.435397 [Epoch 056] validation: acc-top1=44.246689 acc-top5=69.536424 loss=2.436705 Epoch[057] Batch [0049]/[1880] Speed: 135.674510 samples/sec accuracy=48.281250 loss=2.168916 lr=0.009116 Epoch[057] Batch [0099]/[1880] Speed: 179.321269 samples/sec accuracy=48.609375 loss=2.158993 lr=0.009115 Epoch[057] Batch [0149]/[1880] Speed: 200.517966 samples/sec accuracy=48.578125 loss=2.163538 lr=0.009113 Epoch[057] Batch [0199]/[1880] Speed: 164.044627 samples/sec accuracy=48.453125 loss=2.176010 lr=0.009112 Epoch[057] Batch [0249]/[1880] Speed: 201.585033 samples/sec accuracy=48.415625 loss=2.177899 lr=0.009111 Epoch[057] Batch [0299]/[1880] Speed: 167.212952 samples/sec accuracy=48.507812 loss=2.172583 lr=0.009109 Epoch[057] Batch [0349]/[1880] Speed: 206.213940 samples/sec accuracy=48.477679 loss=2.174517 lr=0.009108 Epoch[057] Batch [0399]/[1880] Speed: 195.887317 samples/sec accuracy=48.306641 loss=2.184861 lr=0.009107 Epoch[057] Batch [0449]/[1880] Speed: 178.041083 samples/sec accuracy=48.369792 loss=2.186718 lr=0.009105 Epoch[057] Batch [0499]/[1880] Speed: 195.451247 samples/sec accuracy=48.301563 loss=2.190334 lr=0.009104 Epoch[057] Batch [0549]/[1880] Speed: 168.586507 samples/sec accuracy=48.204545 loss=2.196527 lr=0.009102 Epoch[057] Batch [0599]/[1880] Speed: 206.591676 samples/sec accuracy=48.114583 loss=2.199132 lr=0.009101 Epoch[057] Batch [0649]/[1880] Speed: 172.541305 samples/sec accuracy=48.068510 loss=2.202496 lr=0.009100 Epoch[057] Batch [0699]/[1880] Speed: 188.611180 samples/sec accuracy=48.098214 loss=2.203230 lr=0.009098 Epoch[057] Batch [0749]/[1880] Speed: 189.419107 samples/sec accuracy=48.066667 loss=2.204457 lr=0.009097 Epoch[057] Batch [0799]/[1880] Speed: 187.530009 samples/sec accuracy=48.034180 loss=2.205943 lr=0.009095 Epoch[057] Batch [0849]/[1880] Speed: 183.421579 samples/sec accuracy=48.082721 loss=2.204587 lr=0.009094 Epoch[057] Batch [0899]/[1880] Speed: 178.576317 samples/sec accuracy=48.082465 loss=2.204020 lr=0.009093 Epoch[057] Batch [0949]/[1880] Speed: 191.620109 samples/sec accuracy=48.080592 loss=2.204353 lr=0.009091 Epoch[057] Batch [0999]/[1880] Speed: 199.972811 samples/sec accuracy=48.084375 loss=2.205443 lr=0.009090 Epoch[057] Batch [1049]/[1880] Speed: 172.255657 samples/sec accuracy=48.104911 loss=2.206455 lr=0.009088 Epoch[057] Batch [1099]/[1880] Speed: 195.959589 samples/sec accuracy=48.112926 loss=2.206854 lr=0.009087 Epoch[057] Batch [1149]/[1880] Speed: 174.198201 samples/sec accuracy=48.095109 loss=2.208563 lr=0.009086 Epoch[057] Batch [1199]/[1880] Speed: 190.815396 samples/sec accuracy=48.099609 loss=2.209389 lr=0.009084 Epoch[057] Batch [1249]/[1880] Speed: 190.740847 samples/sec accuracy=48.112500 loss=2.207960 lr=0.009083 Epoch[057] Batch [1299]/[1880] Speed: 178.570507 samples/sec accuracy=48.129808 loss=2.206529 lr=0.009081 Epoch[057] Batch [1349]/[1880] Speed: 198.005980 samples/sec accuracy=48.115741 loss=2.207167 lr=0.009080 Epoch[057] Batch [1399]/[1880] Speed: 181.665209 samples/sec accuracy=48.136719 loss=2.206861 lr=0.009079 Epoch[057] Batch [1449]/[1880] Speed: 177.361644 samples/sec accuracy=48.110453 loss=2.207074 lr=0.009077 Epoch[057] Batch [1499]/[1880] Speed: 202.452689 samples/sec accuracy=48.101042 loss=2.207518 lr=0.009076 Epoch[057] Batch [1549]/[1880] Speed: 182.846323 samples/sec accuracy=48.070060 loss=2.208423 lr=0.009074 Epoch[057] Batch [1599]/[1880] Speed: 174.249785 samples/sec accuracy=48.023438 loss=2.210538 lr=0.009073 Epoch[057] Batch [1649]/[1880] Speed: 188.766177 samples/sec accuracy=48.030303 loss=2.210583 lr=0.009072 Epoch[057] Batch [1699]/[1880] Speed: 202.320590 samples/sec accuracy=48.008272 loss=2.211676 lr=0.009070 Epoch[057] Batch [1749]/[1880] Speed: 185.364692 samples/sec accuracy=47.991071 loss=2.212752 lr=0.009069 Epoch[057] Batch [1799]/[1880] Speed: 174.646336 samples/sec accuracy=47.985677 loss=2.213689 lr=0.009067 Epoch[057] Batch [1849]/[1880] Speed: 202.206953 samples/sec accuracy=47.932432 loss=2.215884 lr=0.009066 Batch [0049]/[0151]: acc-top1=40.843750 acc-top5=66.859375 Batch [0099]/[0151]: acc-top1=44.570312 acc-top5=69.093750 Batch [0149]/[0151]: acc-top1=43.765625 acc-top5=69.260417 [Epoch 057] training: accuracy=47.928856 loss=2.216122 [Epoch 057] speed: 184 samples/sec time cost: 1418.181845 [Epoch 057] validation: acc-top1=43.755174 acc-top5=69.231167 loss=2.468621 Epoch[058] Batch [0049]/[1879] Speed: 131.901622 samples/sec accuracy=49.421875 loss=2.138273 lr=0.009064 Epoch[058] Batch [0099]/[1879] Speed: 183.553828 samples/sec accuracy=49.054688 loss=2.147740 lr=0.009062 Epoch[058] Batch [0149]/[1879] Speed: 210.447658 samples/sec accuracy=48.963542 loss=2.163097 lr=0.009061 Epoch[058] Batch [0199]/[1879] Speed: 165.449667 samples/sec accuracy=48.710938 loss=2.166030 lr=0.009059 Epoch[058] Batch [0249]/[1879] Speed: 200.582208 samples/sec accuracy=48.765625 loss=2.166902 lr=0.009058 Epoch[058] Batch [0299]/[1879] Speed: 176.563984 samples/sec accuracy=48.473958 loss=2.177289 lr=0.009057 Epoch[058] Batch [0349]/[1879] Speed: 188.640671 samples/sec accuracy=48.580357 loss=2.176281 lr=0.009055 Epoch[058] Batch [0399]/[1879] Speed: 184.421683 samples/sec accuracy=48.542969 loss=2.181344 lr=0.009054 Epoch[058] Batch [0449]/[1879] Speed: 191.643401 samples/sec accuracy=48.489583 loss=2.181778 lr=0.009052 Epoch[058] Batch [0499]/[1879] Speed: 194.042462 samples/sec accuracy=48.414062 loss=2.184225 lr=0.009051 Epoch[058] Batch [0549]/[1879] Speed: 161.559144 samples/sec accuracy=48.474432 loss=2.186235 lr=0.009049 Epoch[058] Batch [0599]/[1879] Speed: 202.209860 samples/sec accuracy=48.557292 loss=2.186209 lr=0.009048 Epoch[058] Batch [0649]/[1879] Speed: 198.519298 samples/sec accuracy=48.548077 loss=2.186008 lr=0.009047 Epoch[058] Batch [0699]/[1879] Speed: 171.670040 samples/sec accuracy=48.562500 loss=2.185571 lr=0.009045 Epoch[058] Batch [0749]/[1879] Speed: 196.315629 samples/sec accuracy=48.583333 loss=2.185224 lr=0.009044 Epoch[058] Batch [0799]/[1879] Speed: 176.049239 samples/sec accuracy=48.554688 loss=2.186548 lr=0.009042 Epoch[058] Batch [0849]/[1879] Speed: 184.992170 samples/sec accuracy=48.516544 loss=2.187472 lr=0.009041 Epoch[058] Batch [0899]/[1879] Speed: 204.370426 samples/sec accuracy=48.472222 loss=2.189836 lr=0.009039 Epoch[058] Batch [0949]/[1879] Speed: 179.136225 samples/sec accuracy=48.413651 loss=2.192822 lr=0.009038 Epoch[058] Batch [0999]/[1879] Speed: 189.858347 samples/sec accuracy=48.419531 loss=2.192420 lr=0.009037 Epoch[058] Batch [1049]/[1879] Speed: 173.031372 samples/sec accuracy=48.365327 loss=2.193771 lr=0.009035 Epoch[058] Batch [1099]/[1879] Speed: 193.143204 samples/sec accuracy=48.324574 loss=2.195738 lr=0.009034 Epoch[058] Batch [1149]/[1879] Speed: 183.498453 samples/sec accuracy=48.319973 loss=2.194897 lr=0.009032 Epoch[058] Batch [1199]/[1879] Speed: 193.305886 samples/sec accuracy=48.315755 loss=2.195109 lr=0.009031 Epoch[058] Batch [1249]/[1879] Speed: 181.849015 samples/sec accuracy=48.296250 loss=2.196464 lr=0.009029 Epoch[058] Batch [1299]/[1879] Speed: 189.133374 samples/sec accuracy=48.272236 loss=2.197333 lr=0.009028 Epoch[058] Batch [1349]/[1879] Speed: 181.857031 samples/sec accuracy=48.203704 loss=2.198924 lr=0.009027 Epoch[058] Batch [1399]/[1879] Speed: 185.984588 samples/sec accuracy=48.215960 loss=2.199040 lr=0.009025 Epoch[058] Batch [1449]/[1879] Speed: 197.767933 samples/sec accuracy=48.184267 loss=2.200017 lr=0.009024 Epoch[058] Batch [1499]/[1879] Speed: 189.614962 samples/sec accuracy=48.163542 loss=2.201383 lr=0.009022 Epoch[058] Batch [1549]/[1879] Speed: 171.444069 samples/sec accuracy=48.201613 loss=2.201682 lr=0.009021 Epoch[058] Batch [1599]/[1879] Speed: 201.688212 samples/sec accuracy=48.195312 loss=2.202969 lr=0.009019 Epoch[058] Batch [1649]/[1879] Speed: 175.946033 samples/sec accuracy=48.178030 loss=2.203603 lr=0.009018 Epoch[058] Batch [1699]/[1879] Speed: 197.430162 samples/sec accuracy=48.150735 loss=2.204446 lr=0.009016 Epoch[058] Batch [1749]/[1879] Speed: 173.383358 samples/sec accuracy=48.157143 loss=2.204644 lr=0.009015 Epoch[058] Batch [1799]/[1879] Speed: 195.439951 samples/sec accuracy=48.171875 loss=2.203992 lr=0.009014 Epoch[058] Batch [1849]/[1879] Speed: 175.978138 samples/sec accuracy=48.176943 loss=2.203303 lr=0.009012 Batch [0049]/[0151]: acc-top1=40.296875 acc-top5=66.093750 Batch [0099]/[0151]: acc-top1=44.437500 acc-top5=68.671875 Batch [0149]/[0151]: acc-top1=43.395833 acc-top5=68.656250 [Epoch 058] training: accuracy=48.156433 loss=2.204342 [Epoch 058] speed: 185 samples/sec time cost: 1415.807806 [Epoch 058] validation: acc-top1=43.351614 acc-top5=68.620654 loss=2.485465 Epoch[059] Batch [0049]/[1880] Speed: 136.346675 samples/sec accuracy=49.015625 loss=2.168323 lr=0.009010 Epoch[059] Batch [0099]/[1880] Speed: 173.862471 samples/sec accuracy=49.273438 loss=2.185014 lr=0.009008 Epoch[059] Batch [0149]/[1880] Speed: 206.750995 samples/sec accuracy=49.338542 loss=2.171348 lr=0.009007 Epoch[059] Batch [0199]/[1880] Speed: 171.796304 samples/sec accuracy=49.148438 loss=2.176570 lr=0.009005 Epoch[059] Batch [0249]/[1880] Speed: 184.298415 samples/sec accuracy=49.146875 loss=2.170021 lr=0.009004 Epoch[059] Batch [0299]/[1880] Speed: 204.899379 samples/sec accuracy=49.088542 loss=2.170410 lr=0.009003 Epoch[059] Batch [0349]/[1880] Speed: 173.394171 samples/sec accuracy=48.970982 loss=2.175192 lr=0.009001 Epoch[059] Batch [0399]/[1880] Speed: 191.166355 samples/sec accuracy=48.908203 loss=2.175099 lr=0.009000 Epoch[059] Batch [0449]/[1880] Speed: 186.660320 samples/sec accuracy=48.960069 loss=2.174164 lr=0.008998 Epoch[059] Batch [0499]/[1880] Speed: 185.993914 samples/sec accuracy=48.868750 loss=2.173854 lr=0.008997 Epoch[059] Batch [0549]/[1880] Speed: 181.182130 samples/sec accuracy=48.934659 loss=2.173849 lr=0.008995 Epoch[059] Batch [0599]/[1880] Speed: 195.186601 samples/sec accuracy=48.865885 loss=2.174314 lr=0.008994 Epoch[059] Batch [0649]/[1880] Speed: 173.762126 samples/sec accuracy=48.884615 loss=2.171704 lr=0.008992 Epoch[059] Batch [0699]/[1880] Speed: 195.550783 samples/sec accuracy=48.871652 loss=2.173659 lr=0.008991 Epoch[059] Batch [0749]/[1880] Speed: 196.351331 samples/sec accuracy=48.894792 loss=2.171791 lr=0.008989 Epoch[059] Batch [0799]/[1880] Speed: 177.395848 samples/sec accuracy=48.880859 loss=2.173118 lr=0.008988 Epoch[059] Batch [0849]/[1880] Speed: 196.747347 samples/sec accuracy=48.862132 loss=2.175098 lr=0.008986 Epoch[059] Batch [0899]/[1880] Speed: 177.248107 samples/sec accuracy=48.809896 loss=2.176018 lr=0.008985 Epoch[059] Batch [0949]/[1880] Speed: 186.129019 samples/sec accuracy=48.755757 loss=2.178720 lr=0.008984 Epoch[059] Batch [0999]/[1880] Speed: 190.879929 samples/sec accuracy=48.763281 loss=2.178855 lr=0.008982 Epoch[059] Batch [1049]/[1880] Speed: 182.878937 samples/sec accuracy=48.747768 loss=2.180058 lr=0.008981 Epoch[059] Batch [1099]/[1880] Speed: 190.219243 samples/sec accuracy=48.771307 loss=2.179540 lr=0.008979 Epoch[059] Batch [1149]/[1880] Speed: 177.178195 samples/sec accuracy=48.697690 loss=2.183042 lr=0.008978 Epoch[059] Batch [1199]/[1880] Speed: 197.392745 samples/sec accuracy=48.689453 loss=2.184041 lr=0.008976 Epoch[059] Batch [1249]/[1880] Speed: 187.563366 samples/sec accuracy=48.658750 loss=2.185179 lr=0.008975 Epoch[059] Batch [1299]/[1880] Speed: 184.741012 samples/sec accuracy=48.643029 loss=2.185182 lr=0.008973 Epoch[059] Batch [1349]/[1880] Speed: 175.145971 samples/sec accuracy=48.637153 loss=2.185822 lr=0.008972 Epoch[059] Batch [1399]/[1880] Speed: 198.006116 samples/sec accuracy=48.669643 loss=2.184071 lr=0.008970 Epoch[059] Batch [1449]/[1880] Speed: 186.220444 samples/sec accuracy=48.642241 loss=2.184944 lr=0.008969 Epoch[059] Batch [1499]/[1880] Speed: 182.673324 samples/sec accuracy=48.618229 loss=2.185686 lr=0.008967 Epoch[059] Batch [1549]/[1880] Speed: 204.234098 samples/sec accuracy=48.644657 loss=2.184812 lr=0.008966 Epoch[059] Batch [1599]/[1880] Speed: 165.503286 samples/sec accuracy=48.628906 loss=2.185953 lr=0.008964 Epoch[059] Batch [1649]/[1880] Speed: 200.590963 samples/sec accuracy=48.598485 loss=2.186716 lr=0.008963 Epoch[059] Batch [1699]/[1880] Speed: 178.925283 samples/sec accuracy=48.580882 loss=2.186757 lr=0.008961 Epoch[059] Batch [1749]/[1880] Speed: 180.612558 samples/sec accuracy=48.560268 loss=2.188486 lr=0.008960 Epoch[059] Batch [1799]/[1880] Speed: 201.681436 samples/sec accuracy=48.548177 loss=2.189017 lr=0.008958 Epoch[059] Batch [1849]/[1880] Speed: 173.261639 samples/sec accuracy=48.543919 loss=2.189409 lr=0.008957 Batch [0049]/[0151]: acc-top1=40.625000 acc-top5=67.078125 Batch [0099]/[0151]: acc-top1=44.320312 acc-top5=69.484375 Batch [0149]/[0151]: acc-top1=43.828125 acc-top5=69.572917 [Epoch 059] training: accuracy=48.541805 loss=2.189941 [Epoch 059] speed: 185 samples/sec time cost: 1415.892972 [Epoch 059] validation: acc-top1=43.806912 acc-top5=69.557119 loss=2.455745 Epoch[060] Batch [0049]/[1880] Speed: 131.984015 samples/sec accuracy=48.968750 loss=2.134011 lr=0.008955 Epoch[060] Batch [0099]/[1880] Speed: 188.439507 samples/sec accuracy=48.992188 loss=2.141851 lr=0.008953 Epoch[060] Batch [0149]/[1880] Speed: 193.891897 samples/sec accuracy=49.041667 loss=2.149738 lr=0.008952 Epoch[060] Batch [0199]/[1880] Speed: 184.599092 samples/sec accuracy=49.230469 loss=2.144690 lr=0.008950 Epoch[060] Batch [0249]/[1880] Speed: 181.106412 samples/sec accuracy=49.181250 loss=2.147804 lr=0.008949 Epoch[060] Batch [0299]/[1880] Speed: 187.919474 samples/sec accuracy=49.294271 loss=2.150853 lr=0.008947 Epoch[060] Batch [0349]/[1880] Speed: 194.323975 samples/sec accuracy=49.419643 loss=2.146262 lr=0.008946 Epoch[060] Batch [0399]/[1880] Speed: 182.478204 samples/sec accuracy=49.466797 loss=2.146058 lr=0.008944 Epoch[060] Batch [0449]/[1880] Speed: 187.289431 samples/sec accuracy=49.432292 loss=2.148334 lr=0.008943 Epoch[060] Batch [0499]/[1880] Speed: 184.336330 samples/sec accuracy=49.346875 loss=2.150060 lr=0.008941 Epoch[060] Batch [0549]/[1880] Speed: 182.100969 samples/sec accuracy=49.227273 loss=2.153280 lr=0.008940 Epoch[060] Batch [0599]/[1880] Speed: 195.765026 samples/sec accuracy=49.186198 loss=2.156624 lr=0.008938 Epoch[060] Batch [0649]/[1880] Speed: 175.510254 samples/sec accuracy=49.139423 loss=2.158006 lr=0.008937 Epoch[060] Batch [0699]/[1880] Speed: 189.977806 samples/sec accuracy=49.085938 loss=2.158896 lr=0.008935 Epoch[060] Batch [0749]/[1880] Speed: 188.309437 samples/sec accuracy=49.027083 loss=2.160671 lr=0.008934 Epoch[060] Batch [0799]/[1880] Speed: 186.413708 samples/sec accuracy=48.909180 loss=2.163641 lr=0.008932 Epoch[060] Batch [0849]/[1880] Speed: 192.145909 samples/sec accuracy=48.912684 loss=2.165147 lr=0.008931 Epoch[060] Batch [0899]/[1880] Speed: 181.464751 samples/sec accuracy=48.907118 loss=2.165089 lr=0.008929 Epoch[060] Batch [0949]/[1880] Speed: 188.297773 samples/sec accuracy=48.903783 loss=2.166556 lr=0.008928 Epoch[060] Batch [0999]/[1880] Speed: 184.508731 samples/sec accuracy=48.939063 loss=2.165408 lr=0.008926 Epoch[060] Batch [1049]/[1880] Speed: 193.230741 samples/sec accuracy=48.898065 loss=2.166998 lr=0.008925 Epoch[060] Batch [1099]/[1880] Speed: 179.712615 samples/sec accuracy=48.924716 loss=2.166756 lr=0.008923 Epoch[060] Batch [1149]/[1880] Speed: 193.453691 samples/sec accuracy=48.878397 loss=2.169742 lr=0.008922 Epoch[060] Batch [1199]/[1880] Speed: 181.887164 samples/sec accuracy=48.890625 loss=2.168364 lr=0.008920 Epoch[060] Batch [1249]/[1880] Speed: 178.740336 samples/sec accuracy=48.853125 loss=2.168804 lr=0.008919 Epoch[060] Batch [1299]/[1880] Speed: 194.812259 samples/sec accuracy=48.843149 loss=2.170008 lr=0.008917 Epoch[060] Batch [1349]/[1880] Speed: 180.427371 samples/sec accuracy=48.817708 loss=2.171495 lr=0.008916 Epoch[060] Batch [1399]/[1880] Speed: 188.199732 samples/sec accuracy=48.830357 loss=2.170648 lr=0.008914 Epoch[060] Batch [1449]/[1880] Speed: 193.468648 samples/sec accuracy=48.831897 loss=2.171900 lr=0.008913 Epoch[060] Batch [1499]/[1880] Speed: 177.597070 samples/sec accuracy=48.819792 loss=2.173068 lr=0.008911 Epoch[060] Batch [1549]/[1880] Speed: 195.849093 samples/sec accuracy=48.782762 loss=2.174312 lr=0.008910 Epoch[060] Batch [1599]/[1880] Speed: 175.967378 samples/sec accuracy=48.777832 loss=2.175003 lr=0.008908 Epoch[060] Batch [1649]/[1880] Speed: 196.565161 samples/sec accuracy=48.767992 loss=2.175485 lr=0.008906 Epoch[060] Batch [1699]/[1880] Speed: 187.295509 samples/sec accuracy=48.748162 loss=2.176362 lr=0.008905 Epoch[060] Batch [1749]/[1880] Speed: 183.988424 samples/sec accuracy=48.751339 loss=2.176463 lr=0.008903 Epoch[060] Batch [1799]/[1880] Speed: 185.738600 samples/sec accuracy=48.714844 loss=2.179602 lr=0.008902 Epoch[060] Batch [1849]/[1880] Speed: 184.160530 samples/sec accuracy=48.693834 loss=2.179741 lr=0.008900 Batch [0049]/[0151]: acc-top1=40.515625 acc-top5=65.546875 Batch [0099]/[0151]: acc-top1=44.843750 acc-top5=68.984375 Batch [0149]/[0151]: acc-top1=43.838542 acc-top5=68.947917 [Epoch 060] training: accuracy=48.684757 loss=2.179259 [Epoch 060] speed: 185 samples/sec time cost: 1414.467482 [Epoch 060] validation: acc-top1=43.786217 acc-top5=68.905215 loss=2.476371 Epoch[061] Batch [0049]/[1880] Speed: 133.253316 samples/sec accuracy=49.890625 loss=2.131696 lr=0.008898 Epoch[061] Batch [0099]/[1880] Speed: 190.720446 samples/sec accuracy=49.914062 loss=2.116794 lr=0.008896 Epoch[061] Batch [0149]/[1880] Speed: 182.349092 samples/sec accuracy=49.859375 loss=2.113548 lr=0.008895 Epoch[061] Batch [0199]/[1880] Speed: 183.057309 samples/sec accuracy=49.832031 loss=2.118294 lr=0.008893 Epoch[061] Batch [0249]/[1880] Speed: 200.833936 samples/sec accuracy=49.896875 loss=2.116768 lr=0.008892 Epoch[061] Batch [0299]/[1880] Speed: 187.788748 samples/sec accuracy=49.906250 loss=2.119845 lr=0.008890 Epoch[061] Batch [0349]/[1880] Speed: 179.093054 samples/sec accuracy=50.015625 loss=2.117322 lr=0.008889 Epoch[061] Batch [0399]/[1880] Speed: 201.455758 samples/sec accuracy=50.023438 loss=2.118143 lr=0.008887 Epoch[061] Batch [0449]/[1880] Speed: 169.433096 samples/sec accuracy=50.064236 loss=2.114772 lr=0.008886 Epoch[061] Batch [0499]/[1880] Speed: 201.222547 samples/sec accuracy=49.975000 loss=2.118873 lr=0.008884 Epoch[061] Batch [0549]/[1880] Speed: 171.233994 samples/sec accuracy=50.036932 loss=2.118913 lr=0.008883 Epoch[061] Batch [0599]/[1880] Speed: 200.677019 samples/sec accuracy=49.998698 loss=2.121404 lr=0.008881 Epoch[061] Batch [0649]/[1880] Speed: 183.462518 samples/sec accuracy=49.960337 loss=2.122360 lr=0.008880 Epoch[061] Batch [0699]/[1880] Speed: 181.435671 samples/sec accuracy=49.907366 loss=2.124964 lr=0.008878 Epoch[061] Batch [0749]/[1880] Speed: 190.587519 samples/sec accuracy=49.906250 loss=2.125375 lr=0.008877 Epoch[061] Batch [0799]/[1880] Speed: 184.336881 samples/sec accuracy=49.839844 loss=2.128091 lr=0.008875 Epoch[061] Batch [0849]/[1880] Speed: 189.649798 samples/sec accuracy=49.775735 loss=2.133008 lr=0.008873 Epoch[061] Batch [0899]/[1880] Speed: 184.867682 samples/sec accuracy=49.738715 loss=2.133444 lr=0.008872 Epoch[061] Batch [0949]/[1880] Speed: 174.196237 samples/sec accuracy=49.693257 loss=2.136193 lr=0.008870 Epoch[061] Batch [0999]/[1880] Speed: 198.165247 samples/sec accuracy=49.642969 loss=2.138111 lr=0.008869 Epoch[061] Batch [1049]/[1880] Speed: 185.949208 samples/sec accuracy=49.644345 loss=2.136902 lr=0.008867 Epoch[061] Batch [1099]/[1880] Speed: 180.606725 samples/sec accuracy=49.604403 loss=2.138265 lr=0.008866 Epoch[061] Batch [1149]/[1880] Speed: 185.125163 samples/sec accuracy=49.560462 loss=2.140135 lr=0.008864 Epoch[061] Batch [1199]/[1880] Speed: 180.288261 samples/sec accuracy=49.512370 loss=2.141520 lr=0.008863 Epoch[061] Batch [1249]/[1880] Speed: 198.056525 samples/sec accuracy=49.489375 loss=2.143008 lr=0.008861 Epoch[061] Batch [1299]/[1880] Speed: 184.029347 samples/sec accuracy=49.504808 loss=2.142982 lr=0.008860 Epoch[061] Batch [1349]/[1880] Speed: 184.971537 samples/sec accuracy=49.504051 loss=2.143673 lr=0.008858 Epoch[061] Batch [1399]/[1880] Speed: 181.985434 samples/sec accuracy=49.436384 loss=2.145748 lr=0.008857 Epoch[061] Batch [1449]/[1880] Speed: 184.416587 samples/sec accuracy=49.389009 loss=2.146992 lr=0.008855 Epoch[061] Batch [1499]/[1880] Speed: 183.237310 samples/sec accuracy=49.390625 loss=2.146874 lr=0.008853 Epoch[061] Batch [1549]/[1880] Speed: 199.227456 samples/sec accuracy=49.368952 loss=2.147853 lr=0.008852 Epoch[061] Batch [1599]/[1880] Speed: 182.267910 samples/sec accuracy=49.364746 loss=2.148498 lr=0.008850 Epoch[061] Batch [1649]/[1880] Speed: 185.562303 samples/sec accuracy=49.350852 loss=2.149550 lr=0.008849 Epoch[061] Batch [1699]/[1880] Speed: 179.455255 samples/sec accuracy=49.310202 loss=2.151568 lr=0.008847 Epoch[061] Batch [1749]/[1880] Speed: 198.316125 samples/sec accuracy=49.296429 loss=2.153009 lr=0.008846 Epoch[061] Batch [1799]/[1880] Speed: 191.095582 samples/sec accuracy=49.287326 loss=2.152859 lr=0.008844 Epoch[061] Batch [1849]/[1880] Speed: 170.911906 samples/sec accuracy=49.283361 loss=2.153754 lr=0.008843 Batch [0049]/[0151]: acc-top1=41.062500 acc-top5=66.015625 Batch [0099]/[0151]: acc-top1=44.992188 acc-top5=69.390625 Batch [0149]/[0151]: acc-top1=44.468750 acc-top5=69.625000 [Epoch 061] training: accuracy=49.273188 loss=2.153808 [Epoch 061] speed: 185 samples/sec time cost: 1415.423264 [Epoch 061] validation: acc-top1=44.432947 acc-top5=69.593336 loss=2.443206 Epoch[062] Batch [0049]/[1880] Speed: 134.608207 samples/sec accuracy=50.890625 loss=2.091519 lr=0.008840 Epoch[062] Batch [0099]/[1880] Speed: 199.179919 samples/sec accuracy=50.468750 loss=2.088585 lr=0.008839 Epoch[062] Batch [0149]/[1880] Speed: 176.409151 samples/sec accuracy=50.010417 loss=2.109666 lr=0.008837 Epoch[062] Batch [0199]/[1880] Speed: 191.929306 samples/sec accuracy=50.042969 loss=2.109215 lr=0.008835 Epoch[062] Batch [0249]/[1880] Speed: 187.052555 samples/sec accuracy=49.903125 loss=2.104409 lr=0.008834 Epoch[062] Batch [0299]/[1880] Speed: 170.909745 samples/sec accuracy=50.044271 loss=2.100587 lr=0.008832 Epoch[062] Batch [0349]/[1880] Speed: 193.205691 samples/sec accuracy=49.834821 loss=2.109007 lr=0.008831 Epoch[062] Batch [0399]/[1880] Speed: 207.817114 samples/sec accuracy=49.783203 loss=2.115825 lr=0.008829 Epoch[062] Batch [0449]/[1880] Speed: 165.005092 samples/sec accuracy=49.692708 loss=2.122231 lr=0.008828 Epoch[062] Batch [0499]/[1880] Speed: 202.316892 samples/sec accuracy=49.642187 loss=2.125015 lr=0.008826 Epoch[062] Batch [0549]/[1880] Speed: 171.762140 samples/sec accuracy=49.616477 loss=2.125965 lr=0.008824 Epoch[062] Batch [0599]/[1880] Speed: 195.285663 samples/sec accuracy=49.697917 loss=2.126799 lr=0.008823 Epoch[062] Batch [0649]/[1880] Speed: 169.570319 samples/sec accuracy=49.603365 loss=2.130659 lr=0.008821 Epoch[062] Batch [0699]/[1880] Speed: 198.561291 samples/sec accuracy=49.574777 loss=2.133800 lr=0.008820 Epoch[062] Batch [0749]/[1880] Speed: 195.042792 samples/sec accuracy=49.568750 loss=2.135224 lr=0.008818 Epoch[062] Batch [0799]/[1880] Speed: 180.043631 samples/sec accuracy=49.547852 loss=2.136696 lr=0.008817 Epoch[062] Batch [0849]/[1880] Speed: 198.769549 samples/sec accuracy=49.507353 loss=2.136515 lr=0.008815 Epoch[062] Batch [0899]/[1880] Speed: 170.033835 samples/sec accuracy=49.492188 loss=2.138723 lr=0.008813 Epoch[062] Batch [0949]/[1880] Speed: 192.660899 samples/sec accuracy=49.433388 loss=2.141478 lr=0.008812 Epoch[062] Batch [0999]/[1880] Speed: 173.970701 samples/sec accuracy=49.428906 loss=2.142615 lr=0.008810 Epoch[062] Batch [1049]/[1880] Speed: 195.650703 samples/sec accuracy=49.459077 loss=2.142308 lr=0.008809 Epoch[062] Batch [1099]/[1880] Speed: 201.182363 samples/sec accuracy=49.485795 loss=2.142558 lr=0.008807 Epoch[062] Batch [1149]/[1880] Speed: 159.885963 samples/sec accuracy=49.487772 loss=2.142564 lr=0.008806 Epoch[062] Batch [1199]/[1880] Speed: 205.133556 samples/sec accuracy=49.481771 loss=2.143736 lr=0.008804 Epoch[062] Batch [1249]/[1880] Speed: 190.054028 samples/sec accuracy=49.476875 loss=2.144028 lr=0.008802 Epoch[062] Batch [1299]/[1880] Speed: 174.914782 samples/sec accuracy=49.479567 loss=2.144759 lr=0.008801 Epoch[062] Batch [1349]/[1880] Speed: 192.212600 samples/sec accuracy=49.456019 loss=2.145262 lr=0.008799 Epoch[062] Batch [1399]/[1880] Speed: 189.900776 samples/sec accuracy=49.443638 loss=2.146448 lr=0.008798 Epoch[062] Batch [1449]/[1880] Speed: 175.927627 samples/sec accuracy=49.425647 loss=2.147171 lr=0.008796 Epoch[062] Batch [1499]/[1880] Speed: 200.491511 samples/sec accuracy=49.415625 loss=2.148502 lr=0.008795 Epoch[062] Batch [1549]/[1880] Speed: 166.406401 samples/sec accuracy=49.421371 loss=2.148328 lr=0.008793 Epoch[062] Batch [1599]/[1880] Speed: 193.997695 samples/sec accuracy=49.418945 loss=2.148698 lr=0.008791 Epoch[062] Batch [1649]/[1880] Speed: 193.847436 samples/sec accuracy=49.419981 loss=2.148462 lr=0.008790 Epoch[062] Batch [1699]/[1880] Speed: 170.132671 samples/sec accuracy=49.401654 loss=2.149568 lr=0.008788 Epoch[062] Batch [1749]/[1880] Speed: 202.857838 samples/sec accuracy=49.408482 loss=2.149633 lr=0.008787 Epoch[062] Batch [1799]/[1880] Speed: 168.179047 samples/sec accuracy=49.411024 loss=2.150170 lr=0.008785 Epoch[062] Batch [1849]/[1880] Speed: 200.949661 samples/sec accuracy=49.386402 loss=2.151656 lr=0.008783 Batch [0049]/[0151]: acc-top1=41.109375 acc-top5=66.671875 Batch [0099]/[0151]: acc-top1=44.812500 acc-top5=69.406250 Batch [0149]/[0151]: acc-top1=44.343750 acc-top5=69.390625 [Epoch 062] training: accuracy=49.369182 loss=2.152688 [Epoch 062] speed: 184 samples/sec time cost: 1419.601854 [Epoch 062] validation: acc-top1=44.293253 acc-top5=69.339818 loss=2.453003 Epoch[063] Batch [0049]/[1880] Speed: 127.750736 samples/sec accuracy=50.953125 loss=2.077219 lr=0.008781 Epoch[063] Batch [0099]/[1880] Speed: 211.536611 samples/sec accuracy=50.250000 loss=2.102483 lr=0.008779 Epoch[063] Batch [0149]/[1880] Speed: 180.981457 samples/sec accuracy=50.020833 loss=2.107220 lr=0.008778 Epoch[063] Batch [0199]/[1880] Speed: 176.100480 samples/sec accuracy=50.167969 loss=2.108649 lr=0.008776 Epoch[063] Batch [0249]/[1880] Speed: 201.071933 samples/sec accuracy=50.265625 loss=2.101173 lr=0.008775 Epoch[063] Batch [0299]/[1880] Speed: 171.408463 samples/sec accuracy=50.166667 loss=2.104365 lr=0.008773 Epoch[063] Batch [0349]/[1880] Speed: 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loss=2.124487 lr=0.008757 Epoch[063] Batch [0849]/[1880] Speed: 186.641330 samples/sec accuracy=49.895221 loss=2.124469 lr=0.008755 Epoch[063] Batch [0899]/[1880] Speed: 195.903616 samples/sec accuracy=49.906250 loss=2.124349 lr=0.008754 Epoch[063] Batch [0949]/[1880] Speed: 177.820802 samples/sec accuracy=49.897204 loss=2.124171 lr=0.008752 Epoch[063] Batch [0999]/[1880] Speed: 183.897348 samples/sec accuracy=49.895313 loss=2.124661 lr=0.008751 Epoch[063] Batch [1049]/[1880] Speed: 196.016852 samples/sec accuracy=49.837054 loss=2.126844 lr=0.008749 Epoch[063] Batch [1099]/[1880] Speed: 185.465097 samples/sec accuracy=49.771307 loss=2.129954 lr=0.008747 Epoch[063] Batch [1149]/[1880] Speed: 176.012112 samples/sec accuracy=49.779212 loss=2.130268 lr=0.008746 Epoch[063] Batch [1199]/[1880] Speed: 197.962426 samples/sec accuracy=49.747396 loss=2.131875 lr=0.008744 Epoch[063] Batch [1249]/[1880] Speed: 174.408599 samples/sec accuracy=49.692500 loss=2.134221 lr=0.008743 Epoch[063] Batch [1299]/[1880] Speed: 191.653087 samples/sec accuracy=49.683894 loss=2.133589 lr=0.008741 Epoch[063] Batch [1349]/[1880] Speed: 189.391706 samples/sec accuracy=49.704861 loss=2.132600 lr=0.008739 Epoch[063] Batch [1399]/[1880] Speed: 179.053405 samples/sec accuracy=49.680804 loss=2.133773 lr=0.008738 Epoch[063] Batch [1449]/[1880] Speed: 205.783792 samples/sec accuracy=49.634159 loss=2.134018 lr=0.008736 Epoch[063] Batch [1499]/[1880] Speed: 169.677079 samples/sec accuracy=49.619792 loss=2.134224 lr=0.008734 Epoch[063] Batch [1549]/[1880] Speed: 198.088773 samples/sec accuracy=49.644657 loss=2.133656 lr=0.008733 Epoch[063] Batch [1599]/[1880] Speed: 167.748787 samples/sec accuracy=49.636230 loss=2.134458 lr=0.008731 Epoch[063] Batch [1649]/[1880] Speed: 188.726524 samples/sec accuracy=49.636837 loss=2.135112 lr=0.008730 Epoch[063] Batch [1699]/[1880] Speed: 201.480042 samples/sec accuracy=49.632812 loss=2.135487 lr=0.008728 Epoch[063] Batch [1749]/[1880] Speed: 175.833542 samples/sec accuracy=49.626339 loss=2.136100 lr=0.008726 Epoch[063] Batch [1799]/[1880] Speed: 185.146728 samples/sec accuracy=49.591580 loss=2.137171 lr=0.008725 Epoch[063] Batch [1849]/[1880] Speed: 185.274280 samples/sec accuracy=49.597128 loss=2.136964 lr=0.008723 Batch [0049]/[0151]: acc-top1=43.218750 acc-top5=67.375000 Batch [0099]/[0151]: acc-top1=46.445312 acc-top5=69.945312 Batch [0149]/[0151]: acc-top1=45.354167 acc-top5=70.020833 [Epoch 063] training: accuracy=49.571559 loss=2.137565 [Epoch 063] speed: 184 samples/sec time cost: 1419.716646 [Epoch 063] validation: acc-top1=45.271109 acc-top5=69.986548 loss=2.406845 Epoch[064] Batch [0049]/[1879] Speed: 132.850744 samples/sec accuracy=49.984375 loss=2.137488 lr=0.008721 Epoch[064] Batch [0099]/[1879] Speed: 193.107684 samples/sec accuracy=50.078125 loss=2.125908 lr=0.008719 Epoch[064] Batch [0149]/[1879] Speed: 170.844958 samples/sec accuracy=49.843750 loss=2.128978 lr=0.008717 Epoch[064] Batch [0199]/[1879] Speed: 202.885930 samples/sec accuracy=49.808594 loss=2.133039 lr=0.008716 Epoch[064] Batch [0249]/[1879] Speed: 180.373397 samples/sec accuracy=50.050000 loss=2.123176 lr=0.008714 Epoch[064] Batch [0299]/[1879] Speed: 195.891582 samples/sec accuracy=50.031250 loss=2.122804 lr=0.008712 Epoch[064] Batch [0349]/[1879] Speed: 188.606286 samples/sec accuracy=50.062500 loss=2.122266 lr=0.008711 Epoch[064] Batch [0399]/[1879] Speed: 177.359644 samples/sec accuracy=50.132812 loss=2.121573 lr=0.008709 Epoch[064] Batch [0449]/[1879] Speed: 190.600071 samples/sec accuracy=50.112847 loss=2.124052 lr=0.008707 Epoch[064] Batch [0499]/[1879] Speed: 179.405498 samples/sec accuracy=50.123438 loss=2.122809 lr=0.008706 Epoch[064] Batch [0549]/[1879] Speed: 198.252997 samples/sec accuracy=50.140625 loss=2.120483 lr=0.008704 Epoch[064] Batch [0599]/[1879] Speed: 177.768089 samples/sec accuracy=50.106771 loss=2.119566 lr=0.008703 Epoch[064] Batch [0649]/[1879] Speed: 191.536760 samples/sec accuracy=49.992788 loss=2.121583 lr=0.008701 Epoch[064] Batch [0699]/[1879] Speed: 182.131178 samples/sec accuracy=49.964286 loss=2.120674 lr=0.008699 Epoch[064] Batch [0749]/[1879] Speed: 181.681658 samples/sec accuracy=49.963542 loss=2.119460 lr=0.008698 Epoch[064] Batch [0799]/[1879] Speed: 193.585625 samples/sec accuracy=49.895508 loss=2.120806 lr=0.008696 Epoch[064] Batch [0849]/[1879] Speed: 181.021038 samples/sec accuracy=49.887868 loss=2.121657 lr=0.008694 Epoch[064] Batch [0899]/[1879] Speed: 202.332468 samples/sec accuracy=49.837674 loss=2.123648 lr=0.008693 Epoch[064] Batch [0949]/[1879] Speed: 170.736164 samples/sec accuracy=49.901316 loss=2.123302 lr=0.008691 Epoch[064] Batch [0999]/[1879] Speed: 191.346725 samples/sec accuracy=49.889844 loss=2.124824 lr=0.008690 Epoch[064] Batch [1049]/[1879] Speed: 193.728741 samples/sec accuracy=49.903274 loss=2.125113 lr=0.008688 Epoch[064] Batch [1099]/[1879] Speed: 175.772253 samples/sec accuracy=49.928267 loss=2.123919 lr=0.008686 Epoch[064] Batch [1149]/[1879] Speed: 200.138408 samples/sec accuracy=49.928668 loss=2.123457 lr=0.008685 Epoch[064] Batch [1199]/[1879] Speed: 179.630950 samples/sec accuracy=49.900391 loss=2.123847 lr=0.008683 Epoch[064] Batch [1249]/[1879] Speed: 180.797316 samples/sec accuracy=49.880625 loss=2.123514 lr=0.008681 Epoch[064] Batch [1299]/[1879] Speed: 200.906488 samples/sec accuracy=49.887019 loss=2.123753 lr=0.008680 Epoch[064] Batch [1349]/[1879] Speed: 173.256447 samples/sec accuracy=49.879051 loss=2.123786 lr=0.008678 Epoch[064] Batch [1399]/[1879] Speed: 190.176982 samples/sec accuracy=49.811384 loss=2.126458 lr=0.008676 Epoch[064] Batch [1449]/[1879] Speed: 190.635586 samples/sec accuracy=49.777478 loss=2.127910 lr=0.008675 Epoch[064] Batch [1499]/[1879] Speed: 175.746099 samples/sec accuracy=49.776562 loss=2.128694 lr=0.008673 Epoch[064] Batch [1549]/[1879] Speed: 185.837670 samples/sec accuracy=49.743448 loss=2.129700 lr=0.008671 Epoch[064] Batch [1599]/[1879] Speed: 198.863749 samples/sec accuracy=49.718262 loss=2.129526 lr=0.008670 Epoch[064] Batch [1649]/[1879] Speed: 184.265609 samples/sec accuracy=49.705966 loss=2.130056 lr=0.008668 Epoch[064] Batch [1699]/[1879] Speed: 179.375309 samples/sec accuracy=49.698529 loss=2.130808 lr=0.008666 Epoch[064] Batch [1749]/[1879] Speed: 188.382343 samples/sec accuracy=49.698214 loss=2.131240 lr=0.008665 Epoch[064] Batch [1799]/[1879] Speed: 174.838187 samples/sec accuracy=49.655816 loss=2.132565 lr=0.008663 Epoch[064] Batch [1849]/[1879] Speed: 200.717892 samples/sec accuracy=49.646115 loss=2.133018 lr=0.008661 Batch [0049]/[0151]: acc-top1=41.328125 acc-top5=67.062500 Batch [0099]/[0151]: acc-top1=45.890625 acc-top5=69.921875 Batch [0149]/[0151]: acc-top1=45.296875 acc-top5=70.151042 [Epoch 064] training: accuracy=49.661971 loss=2.132263 [Epoch 064] speed: 184 samples/sec time cost: 1416.495004 [Epoch 064] validation: acc-top1=45.276283 acc-top5=70.131416 loss=2.406429 Epoch[065] Batch [0049]/[1880] Speed: 131.374951 samples/sec accuracy=51.140625 loss=2.069059 lr=0.008659 Epoch[065] Batch [0099]/[1880] Speed: 193.461175 samples/sec accuracy=50.671875 loss=2.076570 lr=0.008657 Epoch[065] Batch [0149]/[1880] Speed: 197.365909 samples/sec accuracy=50.932292 loss=2.076590 lr=0.008656 Epoch[065] Batch [0199]/[1880] Speed: 181.131993 samples/sec accuracy=50.871094 loss=2.078113 lr=0.008654 Epoch[065] Batch [0249]/[1880] Speed: 182.042416 samples/sec accuracy=50.893750 loss=2.075007 lr=0.008652 Epoch[065] Batch [0299]/[1880] Speed: 193.747395 samples/sec accuracy=50.955729 loss=2.070327 lr=0.008651 Epoch[065] Batch [0349]/[1880] Speed: 175.971533 samples/sec accuracy=50.787946 loss=2.076856 lr=0.008649 Epoch[065] Batch [0399]/[1880] Speed: 189.231859 samples/sec accuracy=50.775391 loss=2.076953 lr=0.008647 Epoch[065] Batch [0449]/[1880] Speed: 179.872257 samples/sec accuracy=50.786458 loss=2.075696 lr=0.008646 Epoch[065] Batch [0499]/[1880] Speed: 184.582852 samples/sec accuracy=50.734375 loss=2.076267 lr=0.008644 Epoch[065] Batch [0549]/[1880] Speed: 202.958924 samples/sec accuracy=50.762784 loss=2.077443 lr=0.008642 Epoch[065] Batch [0599]/[1880] Speed: 171.368083 samples/sec accuracy=50.760417 loss=2.078723 lr=0.008641 Epoch[065] Batch [0649]/[1880] Speed: 188.887054 samples/sec accuracy=50.806490 loss=2.078724 lr=0.008639 Epoch[065] Batch [0699]/[1880] Speed: 200.853288 samples/sec accuracy=50.690848 loss=2.083331 lr=0.008637 Epoch[065] Batch [0749]/[1880] Speed: 168.496561 samples/sec accuracy=50.544792 loss=2.088173 lr=0.008636 Epoch[065] Batch [0799]/[1880] Speed: 200.618599 samples/sec accuracy=50.534180 loss=2.089135 lr=0.008634 Epoch[065] Batch [0849]/[1880] Speed: 167.832259 samples/sec accuracy=50.514706 loss=2.090657 lr=0.008632 Epoch[065] Batch [0899]/[1880] Speed: 200.670676 samples/sec accuracy=50.456597 loss=2.092275 lr=0.008631 Epoch[065] Batch [0949]/[1880] Speed: 189.562905 samples/sec accuracy=50.436678 loss=2.092769 lr=0.008629 Epoch[065] Batch [0999]/[1880] Speed: 177.397319 samples/sec accuracy=50.434375 loss=2.093470 lr=0.008627 Epoch[065] Batch [1049]/[1880] Speed: 203.706684 samples/sec accuracy=50.406250 loss=2.094953 lr=0.008626 Epoch[065] Batch [1099]/[1880] Speed: 164.483881 samples/sec accuracy=50.375000 loss=2.096064 lr=0.008624 Epoch[065] Batch [1149]/[1880] Speed: 200.094311 samples/sec accuracy=50.365489 loss=2.097604 lr=0.008622 Epoch[065] Batch [1199]/[1880] Speed: 188.293575 samples/sec accuracy=50.347656 loss=2.098432 lr=0.008621 Epoch[065] Batch [1249]/[1880] Speed: 175.832364 samples/sec accuracy=50.292500 loss=2.099965 lr=0.008619 Epoch[065] Batch [1299]/[1880] Speed: 204.539134 samples/sec accuracy=50.257812 loss=2.101550 lr=0.008617 Epoch[065] Batch [1349]/[1880] Speed: 172.461385 samples/sec accuracy=50.246528 loss=2.101809 lr=0.008616 Epoch[065] Batch [1399]/[1880] Speed: 192.018833 samples/sec accuracy=50.204241 loss=2.104039 lr=0.008614 Epoch[065] Batch [1449]/[1880] Speed: 182.980941 samples/sec accuracy=50.184806 loss=2.105371 lr=0.008612 Epoch[065] Batch [1499]/[1880] Speed: 174.155701 samples/sec accuracy=50.164062 loss=2.106158 lr=0.008610 Epoch[065] Batch [1549]/[1880] Speed: 209.538091 samples/sec accuracy=50.176915 loss=2.105954 lr=0.008609 Epoch[065] Batch [1599]/[1880] Speed: 179.462085 samples/sec accuracy=50.151367 loss=2.106536 lr=0.008607 Epoch[065] Batch [1649]/[1880] Speed: 183.100355 samples/sec accuracy=50.149148 loss=2.106625 lr=0.008605 Epoch[065] Batch [1699]/[1880] Speed: 185.705121 samples/sec accuracy=50.133272 loss=2.107563 lr=0.008604 Epoch[065] Batch [1749]/[1880] Speed: 202.863060 samples/sec accuracy=50.112946 loss=2.109537 lr=0.008602 Epoch[065] Batch [1799]/[1880] Speed: 169.361845 samples/sec accuracy=50.059028 loss=2.110791 lr=0.008600 Epoch[065] Batch [1849]/[1880] Speed: 199.849195 samples/sec accuracy=50.046453 loss=2.111759 lr=0.008599 Batch [0049]/[0151]: acc-top1=41.343750 acc-top5=67.953125 Batch [0099]/[0151]: acc-top1=45.359375 acc-top5=70.632812 Batch [0149]/[0151]: acc-top1=44.796875 acc-top5=70.520833 [Epoch 065] training: accuracy=50.054438 loss=2.111241 [Epoch 065] speed: 184 samples/sec time cost: 1417.377499 [Epoch 065] validation: acc-top1=44.753725 acc-top5=70.488411 loss=2.418421 Epoch[066] Batch [0049]/[1880] Speed: 132.301949 samples/sec accuracy=50.625000 loss=2.068606 lr=0.008596 Epoch[066] Batch [0099]/[1880] Speed: 191.837040 samples/sec accuracy=50.585938 loss=2.073185 lr=0.008594 Epoch[066] Batch [0149]/[1880] Speed: 182.208779 samples/sec accuracy=50.609375 loss=2.081002 lr=0.008593 Epoch[066] Batch [0199]/[1880] Speed: 181.828017 samples/sec accuracy=50.488281 loss=2.087272 lr=0.008591 Epoch[066] Batch [0249]/[1880] Speed: 198.851572 samples/sec accuracy=50.409375 loss=2.092738 lr=0.008589 Epoch[066] Batch [0299]/[1880] Speed: 171.654734 samples/sec accuracy=50.367188 loss=2.093979 lr=0.008588 Epoch[066] Batch [0349]/[1880] Speed: 191.168700 samples/sec accuracy=50.334821 loss=2.095329 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accuracy=50.396034 loss=2.092401 lr=0.008554 Epoch[066] Batch [1349]/[1880] Speed: 193.012449 samples/sec accuracy=50.390046 loss=2.092172 lr=0.008552 Epoch[066] Batch [1399]/[1880] Speed: 187.161972 samples/sec accuracy=50.366629 loss=2.094359 lr=0.008550 Epoch[066] Batch [1449]/[1880] Speed: 181.219281 samples/sec accuracy=50.348060 loss=2.095231 lr=0.008548 Epoch[066] Batch [1499]/[1880] Speed: 196.744160 samples/sec accuracy=50.323438 loss=2.096244 lr=0.008547 Epoch[066] Batch [1549]/[1880] Speed: 180.227559 samples/sec accuracy=50.267641 loss=2.098096 lr=0.008545 Epoch[066] Batch [1599]/[1880] Speed: 180.927582 samples/sec accuracy=50.302246 loss=2.096764 lr=0.008543 Epoch[066] Batch [1649]/[1880] Speed: 194.210460 samples/sec accuracy=50.314867 loss=2.095290 lr=0.008542 Epoch[066] Batch [1699]/[1880] Speed: 175.666786 samples/sec accuracy=50.301930 loss=2.096309 lr=0.008540 Epoch[066] Batch [1749]/[1880] Speed: 190.898369 samples/sec accuracy=50.266518 loss=2.097665 lr=0.008538 Epoch[066] Batch [1799]/[1880] Speed: 184.219093 samples/sec accuracy=50.256076 loss=2.097502 lr=0.008536 Epoch[066] Batch [1849]/[1880] Speed: 191.225202 samples/sec accuracy=50.250000 loss=2.097603 lr=0.008535 Batch [0049]/[0151]: acc-top1=41.796875 acc-top5=67.453125 Batch [0099]/[0151]: acc-top1=45.796875 acc-top5=70.039062 Batch [0149]/[0151]: acc-top1=44.937500 acc-top5=69.854167 [Epoch 066] training: accuracy=50.246011 loss=2.098068 [Epoch 066] speed: 184 samples/sec time cost: 1419.601475 [Epoch 066] validation: acc-top1=44.852028 acc-top5=69.789942 loss=2.430068 Epoch[067] Batch [0049]/[1880] Speed: 131.012339 samples/sec accuracy=52.312500 loss=2.007905 lr=0.008532 Epoch[067] Batch [0099]/[1880] Speed: 206.047778 samples/sec accuracy=51.937500 loss=2.016495 lr=0.008530 Epoch[067] Batch [0149]/[1880] Speed: 180.364920 samples/sec accuracy=51.828125 loss=2.028532 lr=0.008528 Epoch[067] Batch [0199]/[1880] Speed: 177.992648 samples/sec accuracy=51.523438 loss=2.045405 lr=0.008527 Epoch[067] Batch [0249]/[1880] Speed: 200.314327 samples/sec accuracy=51.643750 loss=2.044587 lr=0.008525 Epoch[067] Batch [0299]/[1880] Speed: 166.031137 samples/sec accuracy=51.601562 loss=2.046721 lr=0.008523 Epoch[067] Batch [0349]/[1880] Speed: 198.477956 samples/sec accuracy=51.470982 loss=2.049340 lr=0.008522 Epoch[067] Batch [0399]/[1880] Speed: 193.941665 samples/sec accuracy=51.300781 loss=2.056501 lr=0.008520 Epoch[067] Batch [0449]/[1880] Speed: 166.747655 samples/sec accuracy=51.250000 loss=2.055699 lr=0.008518 Epoch[067] Batch [0499]/[1880] Speed: 203.295843 samples/sec accuracy=51.117188 loss=2.065024 lr=0.008516 Epoch[067] Batch [0549]/[1880] Speed: 193.810646 samples/sec accuracy=51.150568 loss=2.064215 lr=0.008515 Epoch[067] Batch [0599]/[1880] Speed: 166.832700 samples/sec accuracy=51.019531 loss=2.069478 lr=0.008513 Epoch[067] Batch [0649]/[1880] Speed: 203.909241 samples/sec accuracy=50.955529 loss=2.071265 lr=0.008511 Epoch[067] Batch [0699]/[1880] Speed: 181.156625 samples/sec accuracy=50.864955 loss=2.073512 lr=0.008509 Epoch[067] Batch [0749]/[1880] Speed: 179.941752 samples/sec accuracy=50.858333 loss=2.072569 lr=0.008508 Epoch[067] Batch [0799]/[1880] Speed: 182.007661 samples/sec accuracy=50.802734 loss=2.074247 lr=0.008506 Epoch[067] Batch [0849]/[1880] Speed: 183.791009 samples/sec accuracy=50.736213 loss=2.076870 lr=0.008504 Epoch[067] Batch [0899]/[1880] Speed: 203.972451 samples/sec accuracy=50.664931 loss=2.080596 lr=0.008503 Epoch[067] Batch [0949]/[1880] Speed: 173.450159 samples/sec accuracy=50.663651 loss=2.081147 lr=0.008501 Epoch[067] Batch [0999]/[1880] Speed: 190.187840 samples/sec accuracy=50.665625 loss=2.079738 lr=0.008499 Epoch[067] Batch [1049]/[1880] Speed: 188.237203 samples/sec accuracy=50.668899 loss=2.079636 lr=0.008497 Epoch[067] Batch [1099]/[1880] Speed: 184.288325 samples/sec accuracy=50.693182 loss=2.079652 lr=0.008496 Epoch[067] Batch [1149]/[1880] Speed: 189.373240 samples/sec accuracy=50.683424 loss=2.079531 lr=0.008494 Epoch[067] Batch [1199]/[1880] Speed: 186.358278 samples/sec accuracy=50.686849 loss=2.079497 lr=0.008492 Epoch[067] Batch [1249]/[1880] Speed: 180.298542 samples/sec accuracy=50.690625 loss=2.079815 lr=0.008490 Epoch[067] Batch [1299]/[1880] Speed: 186.251949 samples/sec accuracy=50.704928 loss=2.079652 lr=0.008489 Epoch[067] Batch [1349]/[1880] Speed: 186.953297 samples/sec accuracy=50.711806 loss=2.079079 lr=0.008487 Epoch[067] Batch [1399]/[1880] Speed: 189.046172 samples/sec accuracy=50.652344 loss=2.080571 lr=0.008485 Epoch[067] Batch [1449]/[1880] Speed: 182.811450 samples/sec accuracy=50.661638 loss=2.080110 lr=0.008483 Epoch[067] Batch [1499]/[1880] Speed: 186.980832 samples/sec accuracy=50.640625 loss=2.080245 lr=0.008482 Epoch[067] Batch [1549]/[1880] Speed: 190.387627 samples/sec accuracy=50.628528 loss=2.080981 lr=0.008480 Epoch[067] Batch [1599]/[1880] Speed: 174.817101 samples/sec accuracy=50.623535 loss=2.081961 lr=0.008478 Epoch[067] Batch [1649]/[1880] Speed: 199.695742 samples/sec accuracy=50.625000 loss=2.082076 lr=0.008476 Epoch[067] Batch [1699]/[1880] Speed: 176.546650 samples/sec accuracy=50.609835 loss=2.082007 lr=0.008475 Epoch[067] Batch [1749]/[1880] Speed: 186.159197 samples/sec accuracy=50.575893 loss=2.083863 lr=0.008473 Epoch[067] Batch [1799]/[1880] Speed: 182.861419 samples/sec accuracy=50.559462 loss=2.084241 lr=0.008471 Epoch[067] Batch [1849]/[1880] Speed: 198.675355 samples/sec accuracy=50.544764 loss=2.084852 lr=0.008469 Batch [0049]/[0151]: acc-top1=42.468750 acc-top5=67.671875 Batch [0099]/[0151]: acc-top1=45.609375 acc-top5=70.164062 Batch [0149]/[0151]: acc-top1=44.921875 acc-top5=70.333333 [Epoch 067] training: accuracy=50.537317 loss=2.085433 [Epoch 067] speed: 184 samples/sec time cost: 1418.024353 [Epoch 067] validation: acc-top1=44.852028 acc-top5=70.240066 loss=2.416240 Epoch[068] Batch [0049]/[1880] Speed: 133.487601 samples/sec accuracy=51.984375 loss=2.025608 lr=0.008467 Epoch[068] Batch [0099]/[1880] Speed: 199.035864 samples/sec accuracy=51.687500 loss=2.035875 lr=0.008465 Epoch[068] Batch [0149]/[1880] Speed: 168.854918 samples/sec accuracy=51.822917 loss=2.034644 lr=0.008463 Epoch[068] Batch [0199]/[1880] Speed: 200.798705 samples/sec accuracy=51.964844 loss=2.034511 lr=0.008461 Epoch[068] Batch [0249]/[1880] Speed: 178.313257 samples/sec accuracy=51.915625 loss=2.034130 lr=0.008460 Epoch[068] Batch [0299]/[1880] Speed: 180.825026 samples/sec accuracy=51.830729 loss=2.037333 lr=0.008458 Epoch[068] Batch [0349]/[1880] Speed: 198.489997 samples/sec accuracy=51.723214 loss=2.037753 lr=0.008456 Epoch[068] Batch [0399]/[1880] Speed: 185.471257 samples/sec accuracy=51.531250 loss=2.042253 lr=0.008454 Epoch[068] Batch [0449]/[1880] Speed: 176.722310 samples/sec accuracy=51.562500 loss=2.040804 lr=0.008453 Epoch[068] Batch [0499]/[1880] Speed: 197.275177 samples/sec accuracy=51.492188 loss=2.043751 lr=0.008451 Epoch[068] Batch [0549]/[1880] Speed: 164.683446 samples/sec accuracy=51.426136 loss=2.048072 lr=0.008449 Epoch[068] Batch [0599]/[1880] Speed: 205.547907 samples/sec accuracy=51.316406 loss=2.052322 lr=0.008447 Epoch[068] Batch [0649]/[1880] Speed: 194.454120 samples/sec accuracy=51.300481 loss=2.052777 lr=0.008446 Epoch[068] Batch [0699]/[1880] Speed: 173.523145 samples/sec accuracy=51.244420 loss=2.054602 lr=0.008444 Epoch[068] Batch [0749]/[1880] Speed: 197.438256 samples/sec accuracy=51.185417 loss=2.057001 lr=0.008442 Epoch[068] Batch [0799]/[1880] Speed: 175.886560 samples/sec accuracy=51.161133 loss=2.058882 lr=0.008440 Epoch[068] Batch [0849]/[1880] Speed: 182.480375 samples/sec accuracy=51.090993 loss=2.061669 lr=0.008439 Epoch[068] Batch [0899]/[1880] Speed: 185.068106 samples/sec accuracy=51.109375 loss=2.061726 lr=0.008437 Epoch[068] Batch [0949]/[1880] Speed: 189.844426 samples/sec accuracy=51.094572 loss=2.062141 lr=0.008435 Epoch[068] Batch [0999]/[1880] Speed: 184.269010 samples/sec accuracy=51.042969 loss=2.063386 lr=0.008433 Epoch[068] Batch [1049]/[1880] Speed: 189.612099 samples/sec accuracy=51.018601 loss=2.062711 lr=0.008431 Epoch[068] Batch [1099]/[1880] Speed: 180.484375 samples/sec accuracy=50.997159 loss=2.063861 lr=0.008430 Epoch[068] Batch [1149]/[1880] Speed: 189.277296 samples/sec accuracy=50.985734 loss=2.063689 lr=0.008428 Epoch[068] Batch [1199]/[1880] Speed: 191.119566 samples/sec accuracy=50.980469 loss=2.064517 lr=0.008426 Epoch[068] Batch [1249]/[1880] Speed: 175.993489 samples/sec accuracy=50.962500 loss=2.066570 lr=0.008424 Epoch[068] Batch [1299]/[1880] Speed: 200.683383 samples/sec accuracy=50.929087 loss=2.067701 lr=0.008423 Epoch[068] Batch [1349]/[1880] Speed: 166.187169 samples/sec accuracy=50.897569 loss=2.068205 lr=0.008421 Epoch[068] Batch [1399]/[1880] Speed: 198.682045 samples/sec accuracy=50.837612 loss=2.069672 lr=0.008419 Epoch[068] Batch [1449]/[1880] Speed: 197.296192 samples/sec accuracy=50.802802 loss=2.070139 lr=0.008417 Epoch[068] Batch [1499]/[1880] Speed: 164.518581 samples/sec accuracy=50.813021 loss=2.070325 lr=0.008416 Epoch[068] Batch [1549]/[1880] Speed: 193.057750 samples/sec accuracy=50.815524 loss=2.070586 lr=0.008414 Epoch[068] Batch [1599]/[1880] Speed: 199.242974 samples/sec accuracy=50.796387 loss=2.070723 lr=0.008412 Epoch[068] Batch [1649]/[1880] Speed: 171.247550 samples/sec accuracy=50.780303 loss=2.072295 lr=0.008410 Epoch[068] Batch [1699]/[1880] Speed: 191.692007 samples/sec accuracy=50.759191 loss=2.074017 lr=0.008408 Epoch[068] Batch [1749]/[1880] Speed: 169.318025 samples/sec accuracy=50.752679 loss=2.074190 lr=0.008407 Epoch[068] Batch [1799]/[1880] Speed: 199.215182 samples/sec accuracy=50.733073 loss=2.074051 lr=0.008405 Epoch[068] Batch [1849]/[1880] Speed: 194.656897 samples/sec accuracy=50.707348 loss=2.074962 lr=0.008403 Batch [0049]/[0151]: acc-top1=42.828125 acc-top5=67.609375 Batch [0099]/[0151]: acc-top1=45.750000 acc-top5=69.992188 Batch [0149]/[0151]: acc-top1=45.104167 acc-top5=70.161458 [Epoch 068] training: accuracy=50.716838 loss=2.074693 [Epoch 068] speed: 184 samples/sec time cost: 1421.119354 [Epoch 068] validation: acc-top1=45.027939 acc-top5=70.115894 loss=2.409160 Epoch[069] Batch [0049]/[1879] Speed: 133.013468 samples/sec accuracy=52.734375 loss=2.005820 lr=0.008400 Epoch[069] Batch [0099]/[1879] Speed: 185.021594 samples/sec accuracy=52.289063 loss=2.017107 lr=0.008398 Epoch[069] Batch [0149]/[1879] Speed: 177.765065 samples/sec accuracy=52.109375 loss=2.020425 lr=0.008397 Epoch[069] Batch [0199]/[1879] Speed: 205.755678 samples/sec accuracy=52.039062 loss=2.024011 lr=0.008395 Epoch[069] Batch [0249]/[1879] Speed: 191.711556 samples/sec accuracy=51.893750 loss=2.028013 lr=0.008393 Epoch[069] Batch [0299]/[1879] Speed: 173.508688 samples/sec accuracy=51.906250 loss=2.025267 lr=0.008391 Epoch[069] Batch [0349]/[1879] Speed: 189.284620 samples/sec accuracy=51.812500 loss=2.034957 lr=0.008390 Epoch[069] Batch [0399]/[1879] Speed: 185.136219 samples/sec accuracy=51.667969 loss=2.039025 lr=0.008388 Epoch[069] Batch [0449]/[1879] Speed: 184.025479 samples/sec accuracy=51.595486 loss=2.038464 lr=0.008386 Epoch[069] Batch [0499]/[1879] Speed: 185.336019 samples/sec accuracy=51.539062 loss=2.044394 lr=0.008384 Epoch[069] Batch [0549]/[1879] Speed: 193.720117 samples/sec accuracy=51.588068 loss=2.042824 lr=0.008382 Epoch[069] Batch [0599]/[1879] Speed: 184.474259 samples/sec accuracy=51.613281 loss=2.041426 lr=0.008381 Epoch[069] Batch [0649]/[1879] Speed: 185.867345 samples/sec accuracy=51.638221 loss=2.039642 lr=0.008379 Epoch[069] Batch [0699]/[1879] Speed: 188.132103 samples/sec accuracy=51.665179 loss=2.040999 lr=0.008377 Epoch[069] Batch [0749]/[1879] Speed: 190.451794 samples/sec accuracy=51.687500 loss=2.039916 lr=0.008375 Epoch[069] Batch [0799]/[1879] Speed: 169.954144 samples/sec accuracy=51.675781 loss=2.040921 lr=0.008373 Epoch[069] Batch [0849]/[1879] Speed: 205.003438 samples/sec accuracy=51.646140 loss=2.041013 lr=0.008372 Epoch[069] Batch [0899]/[1879] Speed: 185.531805 samples/sec accuracy=51.620660 loss=2.042620 lr=0.008370 Epoch[069] Batch [0949]/[1879] Speed: 179.128424 samples/sec accuracy=51.606086 loss=2.043707 lr=0.008368 Epoch[069] Batch [0999]/[1879] Speed: 186.363413 samples/sec accuracy=51.587500 loss=2.044768 lr=0.008366 Epoch[069] Batch [1049]/[1879] Speed: 189.073840 samples/sec accuracy=51.592262 loss=2.043685 lr=0.008364 Epoch[069] Batch [1099]/[1879] Speed: 179.415608 samples/sec accuracy=51.553977 loss=2.045408 lr=0.008363 Epoch[069] Batch [1149]/[1879] Speed: 194.057481 samples/sec accuracy=51.546196 loss=2.045820 lr=0.008361 Epoch[069] Batch [1199]/[1879] Speed: 177.448042 samples/sec accuracy=51.521484 loss=2.045672 lr=0.008359 Epoch[069] Batch [1249]/[1879] Speed: 196.524007 samples/sec accuracy=51.460625 loss=2.047741 lr=0.008357 Epoch[069] Batch [1299]/[1879] Speed: 171.494978 samples/sec accuracy=51.436298 loss=2.048008 lr=0.008355 Epoch[069] Batch [1349]/[1879] Speed: 196.862152 samples/sec accuracy=51.453704 loss=2.047469 lr=0.008354 Epoch[069] Batch [1399]/[1879] Speed: 181.560750 samples/sec accuracy=51.404018 loss=2.049280 lr=0.008352 Epoch[069] Batch [1449]/[1879] Speed: 193.710304 samples/sec accuracy=51.408944 loss=2.049474 lr=0.008350 Epoch[069] Batch [1499]/[1879] Speed: 173.328298 samples/sec accuracy=51.380729 loss=2.050320 lr=0.008348 Epoch[069] Batch [1549]/[1879] Speed: 193.431113 samples/sec accuracy=51.361895 loss=2.051468 lr=0.008346 Epoch[069] Batch [1599]/[1879] Speed: 193.629566 samples/sec accuracy=51.344727 loss=2.052356 lr=0.008345 Epoch[069] Batch [1649]/[1879] Speed: 181.100377 samples/sec accuracy=51.333333 loss=2.053204 lr=0.008343 Epoch[069] Batch [1699]/[1879] Speed: 190.984626 samples/sec accuracy=51.287684 loss=2.055405 lr=0.008341 Epoch[069] Batch [1749]/[1879] Speed: 178.501347 samples/sec accuracy=51.232143 loss=2.057376 lr=0.008339 Epoch[069] Batch [1799]/[1879] Speed: 188.647950 samples/sec accuracy=51.210503 loss=2.058612 lr=0.008337 Epoch[069] Batch [1849]/[1879] Speed: 183.178366 samples/sec accuracy=51.192990 loss=2.059023 lr=0.008336 Batch [0049]/[0151]: acc-top1=42.687500 acc-top5=68.078125 Batch [0099]/[0151]: acc-top1=46.171875 acc-top5=70.414062 Batch [0149]/[0151]: acc-top1=45.411458 acc-top5=70.296875 [Epoch 069] training: accuracy=51.183309 loss=2.059561 [Epoch 069] speed: 184 samples/sec time cost: 1417.744703 [Epoch 069] validation: acc-top1=45.379760 acc-top5=70.302152 loss=2.386910 Epoch[070] Batch [0049]/[1880] Speed: 130.619763 samples/sec accuracy=52.343750 loss=2.033445 lr=0.008333 Epoch[070] Batch [0099]/[1880] Speed: 201.454728 samples/sec accuracy=51.531250 loss=2.047930 lr=0.008331 Epoch[070] Batch [0149]/[1880] Speed: 182.059577 samples/sec accuracy=51.651042 loss=2.044329 lr=0.008329 Epoch[070] Batch [0199]/[1880] Speed: 179.580236 samples/sec accuracy=51.367188 loss=2.056557 lr=0.008327 Epoch[070] Batch [0249]/[1880] 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accuracy=51.454241 loss=2.041542 lr=0.008309 Epoch[070] Batch [0749]/[1880] Speed: 181.747518 samples/sec accuracy=51.451042 loss=2.041212 lr=0.008307 Epoch[070] Batch [0799]/[1880] Speed: 183.587887 samples/sec accuracy=51.373047 loss=2.045218 lr=0.008305 Epoch[070] Batch [0849]/[1880] Speed: 188.875643 samples/sec accuracy=51.363971 loss=2.044213 lr=0.008304 Epoch[070] Batch [0899]/[1880] Speed: 181.226853 samples/sec accuracy=51.374132 loss=2.043152 lr=0.008302 Epoch[070] Batch [0949]/[1880] Speed: 181.313938 samples/sec accuracy=51.370888 loss=2.043781 lr=0.008300 Epoch[070] Batch [0999]/[1880] Speed: 200.929297 samples/sec accuracy=51.404688 loss=2.044214 lr=0.008298 Epoch[070] Batch [1049]/[1880] Speed: 169.367213 samples/sec accuracy=51.429315 loss=2.043364 lr=0.008296 Epoch[070] Batch [1099]/[1880] Speed: 208.964715 samples/sec accuracy=51.438920 loss=2.042983 lr=0.008294 Epoch[070] Batch [1149]/[1880] Speed: 182.441977 samples/sec accuracy=51.393342 loss=2.043473 lr=0.008293 Epoch[070] Batch [1199]/[1880] Speed: 175.181942 samples/sec accuracy=51.388672 loss=2.044155 lr=0.008291 Epoch[070] Batch [1249]/[1880] Speed: 206.139341 samples/sec accuracy=51.376875 loss=2.045007 lr=0.008289 Epoch[070] Batch [1299]/[1880] Speed: 167.897122 samples/sec accuracy=51.364183 loss=2.046169 lr=0.008287 Epoch[070] Batch [1349]/[1880] Speed: 200.453265 samples/sec accuracy=51.349537 loss=2.047255 lr=0.008285 Epoch[070] Batch [1399]/[1880] Speed: 192.287215 samples/sec accuracy=51.310826 loss=2.048453 lr=0.008284 Epoch[070] Batch [1449]/[1880] Speed: 175.025018 samples/sec accuracy=51.262931 loss=2.050281 lr=0.008282 Epoch[070] Batch [1499]/[1880] Speed: 195.443170 samples/sec accuracy=51.252604 loss=2.050510 lr=0.008280 Epoch[070] Batch [1549]/[1880] Speed: 172.978778 samples/sec accuracy=51.231855 loss=2.052140 lr=0.008278 Epoch[070] Batch [1599]/[1880] Speed: 190.188239 samples/sec accuracy=51.223145 loss=2.052768 lr=0.008276 Epoch[070] Batch [1649]/[1880] Speed: 193.603404 samples/sec accuracy=51.203598 loss=2.054368 lr=0.008274 Epoch[070] Batch [1699]/[1880] Speed: 180.162540 samples/sec accuracy=51.244485 loss=2.053283 lr=0.008273 Epoch[070] Batch [1749]/[1880] Speed: 184.194012 samples/sec accuracy=51.218304 loss=2.055281 lr=0.008271 Epoch[070] Batch [1799]/[1880] Speed: 190.480450 samples/sec accuracy=51.196181 loss=2.055579 lr=0.008269 Epoch[070] Batch [1849]/[1880] Speed: 180.984670 samples/sec accuracy=51.155405 loss=2.056583 lr=0.008267 Batch [0049]/[0151]: acc-top1=42.359375 acc-top5=67.515625 Batch [0099]/[0151]: acc-top1=46.234375 acc-top5=70.312500 Batch [0149]/[0151]: acc-top1=45.250000 acc-top5=70.156250 [Epoch 070] training: accuracy=51.156499 loss=2.055728 [Epoch 070] speed: 184 samples/sec time cost: 1417.552036 [Epoch 070] validation: acc-top1=45.209023 acc-top5=70.095199 loss=2.398440 Epoch[071] Batch [0049]/[1880] Speed: 130.095767 samples/sec accuracy=53.031250 loss=1.968442 lr=0.008264 Epoch[071] Batch [0099]/[1880] Speed: 200.606178 samples/sec accuracy=52.445312 loss=1.979145 lr=0.008262 Epoch[071] Batch [0149]/[1880] Speed: 172.560785 samples/sec accuracy=52.036458 loss=1.998660 lr=0.008260 Epoch[071] Batch [0199]/[1880] Speed: 201.001143 samples/sec accuracy=51.890625 loss=2.009147 lr=0.008259 Epoch[071] Batch [0249]/[1880] Speed: 175.674939 samples/sec accuracy=51.871875 loss=2.016182 lr=0.008257 Epoch[071] Batch [0299]/[1880] Speed: 200.852879 samples/sec accuracy=51.921875 loss=2.015111 lr=0.008255 Epoch[071] Batch [0349]/[1880] Speed: 176.817183 samples/sec accuracy=52.058036 loss=2.013223 lr=0.008253 Epoch[071] Batch [0399]/[1880] Speed: 195.475806 samples/sec accuracy=52.011719 loss=2.015147 lr=0.008251 Epoch[071] Batch [0449]/[1880] Speed: 180.345185 samples/sec accuracy=51.914931 loss=2.018083 lr=0.008249 Epoch[071] Batch [0499]/[1880] Speed: 180.090123 samples/sec accuracy=51.884375 loss=2.019307 lr=0.008247 Epoch[071] Batch [0549]/[1880] Speed: 197.825449 samples/sec accuracy=51.862216 loss=2.020624 lr=0.008246 Epoch[071] Batch [0599]/[1880] Speed: 191.121576 samples/sec accuracy=51.845052 loss=2.018505 lr=0.008244 Epoch[071] Batch [0649]/[1880] Speed: 175.376608 samples/sec accuracy=51.810096 loss=2.021269 lr=0.008242 Epoch[071] Batch [0699]/[1880] Speed: 183.030384 samples/sec accuracy=51.825893 loss=2.022076 lr=0.008240 Epoch[071] Batch [0749]/[1880] Speed: 184.551058 samples/sec accuracy=51.760417 loss=2.025137 lr=0.008238 Epoch[071] Batch [0799]/[1880] Speed: 199.050373 samples/sec accuracy=51.751953 loss=2.026450 lr=0.008236 Epoch[071] Batch [0849]/[1880] Speed: 182.099640 samples/sec accuracy=51.743566 loss=2.027973 lr=0.008234 Epoch[071] Batch [0899]/[1880] Speed: 176.496892 samples/sec accuracy=51.774306 loss=2.027150 lr=0.008233 Epoch[071] Batch [0949]/[1880] Speed: 188.750855 samples/sec accuracy=51.776316 loss=2.026176 lr=0.008231 Epoch[071] Batch [0999]/[1880] Speed: 194.187020 samples/sec accuracy=51.741406 loss=2.029882 lr=0.008229 Epoch[071] Batch [1049]/[1880] Speed: 179.893616 samples/sec accuracy=51.731399 loss=2.031724 lr=0.008227 Epoch[071] Batch [1099]/[1880] Speed: 184.887393 samples/sec accuracy=51.771307 loss=2.031107 lr=0.008225 Epoch[071] Batch [1149]/[1880] Speed: 182.982964 samples/sec accuracy=51.753397 loss=2.033107 lr=0.008223 Epoch[071] Batch [1199]/[1880] Speed: 195.558368 samples/sec accuracy=51.750000 loss=2.032249 lr=0.008221 Epoch[071] Batch [1249]/[1880] Speed: 185.771224 samples/sec accuracy=51.725000 loss=2.033726 lr=0.008220 Epoch[071] Batch [1299]/[1880] Speed: 186.063629 samples/sec accuracy=51.733173 loss=2.033834 lr=0.008218 Epoch[071] Batch [1349]/[1880] Speed: 177.297746 samples/sec accuracy=51.764468 loss=2.032964 lr=0.008216 Epoch[071] Batch [1399]/[1880] Speed: 196.889199 samples/sec accuracy=51.751674 loss=2.033029 lr=0.008214 Epoch[071] Batch [1449]/[1880] Speed: 182.243780 samples/sec accuracy=51.733836 loss=2.034441 lr=0.008212 Epoch[071] Batch [1499]/[1880] Speed: 190.627292 samples/sec accuracy=51.736979 loss=2.035170 lr=0.008210 Epoch[071] Batch [1549]/[1880] Speed: 172.130504 samples/sec accuracy=51.686492 loss=2.037373 lr=0.008208 Epoch[071] Batch [1599]/[1880] Speed: 192.393714 samples/sec accuracy=51.675293 loss=2.037775 lr=0.008207 Epoch[071] Batch [1649]/[1880] Speed: 195.639050 samples/sec accuracy=51.636837 loss=2.038797 lr=0.008205 Epoch[071] Batch [1699]/[1880] Speed: 169.135269 samples/sec accuracy=51.610754 loss=2.039475 lr=0.008203 Epoch[071] Batch [1749]/[1880] Speed: 202.106783 samples/sec accuracy=51.579464 loss=2.040604 lr=0.008201 Epoch[071] Batch [1799]/[1880] Speed: 192.649817 samples/sec accuracy=51.589410 loss=2.040930 lr=0.008199 Epoch[071] Batch [1849]/[1880] Speed: 166.761222 samples/sec accuracy=51.606419 loss=2.040795 lr=0.008197 Batch [0049]/[0151]: acc-top1=42.359375 acc-top5=67.828125 Batch [0099]/[0151]: acc-top1=46.445312 acc-top5=70.289062 Batch [0149]/[0151]: acc-top1=45.848958 acc-top5=70.359375 [Epoch 071] training: accuracy=51.575798 loss=2.041713 [Epoch 071] speed: 184 samples/sec time cost: 1418.198465 [Epoch 071] validation: acc-top1=45.819536 acc-top5=70.343543 loss=2.386294 Epoch[072] Batch [0049]/[1880] Speed: 135.404510 samples/sec accuracy=53.156250 loss=1.966624 lr=0.008194 Epoch[072] Batch [0099]/[1880] Speed: 182.063669 samples/sec accuracy=52.890625 loss=1.979293 lr=0.008192 Epoch[072] Batch [0149]/[1880] Speed: 184.089350 samples/sec accuracy=53.057292 loss=1.969600 lr=0.008191 Epoch[072] Batch [0199]/[1880] Speed: 192.867021 samples/sec accuracy=53.000000 loss=1.970926 lr=0.008189 Epoch[072] Batch [0249]/[1880] Speed: 181.213289 samples/sec accuracy=52.931250 loss=1.973705 lr=0.008187 Epoch[072] Batch [0299]/[1880] Speed: 183.987864 samples/sec accuracy=52.567708 loss=1.983408 lr=0.008185 Epoch[072] Batch [0349]/[1880] Speed: 180.631245 samples/sec accuracy=52.395089 loss=1.992811 lr=0.008183 Epoch[072] Batch [0399]/[1880] Speed: 200.543900 samples/sec accuracy=52.597656 loss=1.987732 lr=0.008181 Epoch[072] Batch [0449]/[1880] Speed: 177.762323 samples/sec accuracy=52.503472 loss=1.994533 lr=0.008179 Epoch[072] Batch [0499]/[1880] Speed: 183.683444 samples/sec accuracy=52.410937 loss=1.998126 lr=0.008177 Epoch[072] Batch [0549]/[1880] Speed: 188.492750 samples/sec accuracy=52.437500 loss=1.996668 lr=0.008176 Epoch[072] Batch [0599]/[1880] Speed: 192.362458 samples/sec accuracy=52.398437 loss=1.999640 lr=0.008174 Epoch[072] Batch [0649]/[1880] Speed: 173.852305 samples/sec accuracy=52.342548 loss=2.001746 lr=0.008172 Epoch[072] Batch [0699]/[1880] Speed: 198.921244 samples/sec accuracy=52.334821 loss=2.002279 lr=0.008170 Epoch[072] Batch [0749]/[1880] Speed: 172.607792 samples/sec accuracy=52.262500 loss=2.004128 lr=0.008168 Epoch[072] Batch [0799]/[1880] Speed: 183.398853 samples/sec accuracy=52.211914 loss=2.005796 lr=0.008166 Epoch[072] Batch [0849]/[1880] Speed: 198.742527 samples/sec accuracy=52.239890 loss=2.004823 lr=0.008164 Epoch[072] Batch [0899]/[1880] Speed: 186.193345 samples/sec accuracy=52.260417 loss=2.003972 lr=0.008162 Epoch[072] Batch [0949]/[1880] Speed: 176.220958 samples/sec accuracy=52.276316 loss=2.005172 lr=0.008161 Epoch[072] Batch [0999]/[1880] Speed: 200.021843 samples/sec accuracy=52.203906 loss=2.009086 lr=0.008159 Epoch[072] Batch [1049]/[1880] Speed: 169.483666 samples/sec accuracy=52.138393 loss=2.012294 lr=0.008157 Epoch[072] Batch [1099]/[1880] Speed: 191.966001 samples/sec accuracy=52.123580 loss=2.013721 lr=0.008155 Epoch[072] Batch [1149]/[1880] Speed: 193.038247 samples/sec accuracy=52.087636 loss=2.015023 lr=0.008153 Epoch[072] Batch [1199]/[1880] Speed: 180.391109 samples/sec accuracy=52.043620 loss=2.016716 lr=0.008151 Epoch[072] Batch [1249]/[1880] Speed: 202.713879 samples/sec accuracy=52.038125 loss=2.017426 lr=0.008149 Epoch[072] Batch [1299]/[1880] Speed: 165.015589 samples/sec accuracy=52.045673 loss=2.018516 lr=0.008147 Epoch[072] Batch [1349]/[1880] Speed: 198.587012 samples/sec accuracy=52.032407 loss=2.019637 lr=0.008145 Epoch[072] Batch [1399]/[1880] Speed: 190.055289 samples/sec accuracy=52.035156 loss=2.019907 lr=0.008144 Epoch[072] Batch [1449]/[1880] Speed: 172.596790 samples/sec accuracy=51.995690 loss=2.020681 lr=0.008142 Epoch[072] Batch [1499]/[1880] Speed: 198.298537 samples/sec accuracy=51.975000 loss=2.022709 lr=0.008140 Epoch[072] Batch [1549]/[1880] Speed: 177.242924 samples/sec accuracy=51.987903 loss=2.022790 lr=0.008138 Epoch[072] Batch [1599]/[1880] Speed: 185.037201 samples/sec accuracy=51.965332 loss=2.023396 lr=0.008136 Epoch[072] Batch [1649]/[1880] Speed: 188.778449 samples/sec accuracy=51.964962 loss=2.024359 lr=0.008134 Epoch[072] Batch [1699]/[1880] Speed: 185.967688 samples/sec accuracy=51.957261 loss=2.025207 lr=0.008132 Epoch[072] Batch [1749]/[1880] Speed: 186.077469 samples/sec accuracy=51.938839 loss=2.025879 lr=0.008130 Epoch[072] Batch [1799]/[1880] Speed: 177.229750 samples/sec accuracy=51.928385 loss=2.026831 lr=0.008128 Epoch[072] Batch [1849]/[1880] Speed: 204.555311 samples/sec accuracy=51.869510 loss=2.028196 lr=0.008126 Batch [0049]/[0151]: acc-top1=41.875000 acc-top5=67.125000 Batch [0099]/[0151]: acc-top1=45.640625 acc-top5=69.976562 Batch [0149]/[0151]: acc-top1=44.718750 acc-top5=69.854167 [Epoch 072] training: accuracy=51.876662 loss=2.028315 [Epoch 072] speed: 184 samples/sec time cost: 1419.863265 [Epoch 072] validation: acc-top1=44.645075 acc-top5=69.815811 loss=2.444318 Epoch[073] Batch [0049]/[1880] Speed: 135.869181 samples/sec accuracy=52.968750 loss=1.982936 lr=0.008123 Epoch[073] Batch [0099]/[1880] Speed: 182.342734 samples/sec accuracy=52.765625 loss=1.982875 lr=0.008122 Epoch[073] Batch [0149]/[1880] Speed: 194.077702 samples/sec accuracy=52.598958 loss=1.990751 lr=0.008120 Epoch[073] Batch [0199]/[1880] Speed: 173.379888 samples/sec accuracy=52.476562 loss=1.991553 lr=0.008118 Epoch[073] Batch [0249]/[1880] Speed: 196.642911 samples/sec accuracy=52.759375 loss=1.979675 lr=0.008116 Epoch[073] Batch [0299]/[1880] Speed: 191.002936 samples/sec accuracy=52.817708 loss=1.980456 lr=0.008114 Epoch[073] Batch [0349]/[1880] Speed: 169.708393 samples/sec accuracy=52.805804 loss=1.981379 lr=0.008112 Epoch[073] Batch [0399]/[1880] Speed: 196.668152 samples/sec accuracy=52.707031 loss=1.985799 lr=0.008110 Epoch[073] Batch [0449]/[1880] Speed: 198.378998 samples/sec accuracy=52.604167 loss=1.990478 lr=0.008108 Epoch[073] Batch [0499]/[1880] Speed: 166.485389 samples/sec accuracy=52.610937 loss=1.991099 lr=0.008106 Epoch[073] Batch [0549]/[1880] Speed: 201.801673 samples/sec accuracy=52.606534 loss=1.991607 lr=0.008104 Epoch[073] Batch [0599]/[1880] Speed: 187.847534 samples/sec accuracy=52.536458 loss=1.992153 lr=0.008103 Epoch[073] Batch [0649]/[1880] Speed: 169.343250 samples/sec accuracy=52.491587 loss=1.995086 lr=0.008101 Epoch[073] Batch [0699]/[1880] Speed: 196.967412 samples/sec accuracy=52.494420 loss=1.997369 lr=0.008099 Epoch[073] Batch [0749]/[1880] Speed: 193.143582 samples/sec accuracy=52.410417 loss=1.998511 lr=0.008097 Epoch[073] Batch [0799]/[1880] Speed: 180.346063 samples/sec accuracy=52.404297 loss=1.998759 lr=0.008095 Epoch[073] Batch [0849]/[1880] Speed: 188.852338 samples/sec accuracy=52.356618 loss=2.000640 lr=0.008093 Epoch[073] Batch [0899]/[1880] Speed: 177.845853 samples/sec accuracy=52.368056 loss=2.000002 lr=0.008091 Epoch[073] Batch [0949]/[1880] Speed: 191.468578 samples/sec accuracy=52.356086 loss=2.001078 lr=0.008089 Epoch[073] Batch [0999]/[1880] Speed: 185.059473 samples/sec accuracy=52.301562 loss=2.003253 lr=0.008087 Epoch[073] Batch [1049]/[1880] Speed: 182.398015 samples/sec accuracy=52.334821 loss=2.002557 lr=0.008085 Epoch[073] Batch [1099]/[1880] Speed: 194.809418 samples/sec accuracy=52.360085 loss=2.002563 lr=0.008083 Epoch[073] Batch [1149]/[1880] Speed: 170.003628 samples/sec accuracy=52.348505 loss=2.003047 lr=0.008082 Epoch[073] Batch [1199]/[1880] Speed: 192.178187 samples/sec accuracy=52.326172 loss=2.004542 lr=0.008080 Epoch[073] Batch [1249]/[1880] Speed: 191.882048 samples/sec accuracy=52.261250 loss=2.006378 lr=0.008078 Epoch[073] Batch [1299]/[1880] Speed: 189.454696 samples/sec accuracy=52.233774 loss=2.007994 lr=0.008076 Epoch[073] Batch [1349]/[1880] Speed: 181.661308 samples/sec accuracy=52.216435 loss=2.009298 lr=0.008074 Epoch[073] Batch [1399]/[1880] Speed: 190.015342 samples/sec accuracy=52.186942 loss=2.009894 lr=0.008072 Epoch[073] Batch [1449]/[1880] Speed: 182.881812 samples/sec accuracy=52.135776 loss=2.011363 lr=0.008070 Epoch[073] Batch [1499]/[1880] Speed: 179.324471 samples/sec accuracy=52.140625 loss=2.011375 lr=0.008068 Epoch[073] Batch [1549]/[1880] Speed: 204.642844 samples/sec accuracy=52.111391 loss=2.012681 lr=0.008066 Epoch[073] Batch [1599]/[1880] Speed: 160.909705 samples/sec accuracy=52.085938 loss=2.013339 lr=0.008064 Epoch[073] Batch [1649]/[1880] Speed: 203.894149 samples/sec accuracy=52.086174 loss=2.012961 lr=0.008062 Epoch[073] Batch [1699]/[1880] Speed: 199.206219 samples/sec accuracy=52.062500 loss=2.014292 lr=0.008060 Epoch[073] Batch [1749]/[1880] Speed: 173.466065 samples/sec accuracy=52.046429 loss=2.014794 lr=0.008059 Epoch[073] Batch [1799]/[1880] Speed: 194.052446 samples/sec accuracy=52.023872 loss=2.016063 lr=0.008057 Epoch[073] Batch [1849]/[1880] Speed: 178.881909 samples/sec accuracy=51.992821 loss=2.017157 lr=0.008055 Batch [0049]/[0151]: acc-top1=43.250000 acc-top5=68.625000 Batch [0099]/[0151]: acc-top1=47.234375 acc-top5=71.328125 Batch [0149]/[0151]: acc-top1=46.609375 acc-top5=71.119792 [Epoch 073] training: accuracy=51.956865 loss=2.018225 [Epoch 073] speed: 184 samples/sec time cost: 1417.748445 [Epoch 073] validation: acc-top1=46.549048 acc-top5=71.067881 loss=2.354699 Epoch[074] Batch [0049]/[1880] Speed: 134.418806 samples/sec accuracy=52.859375 loss=1.976388 lr=0.008052 Epoch[074] Batch [0099]/[1880] Speed: 198.601931 samples/sec accuracy=53.046875 loss=1.959099 lr=0.008050 Epoch[074] Batch [0149]/[1880] Speed: 181.420421 samples/sec accuracy=52.890625 loss=1.958023 lr=0.008048 Epoch[074] Batch [0199]/[1880] Speed: 185.045401 samples/sec accuracy=52.832031 loss=1.961066 lr=0.008046 Epoch[074] Batch [0249]/[1880] Speed: 178.763522 samples/sec accuracy=52.937500 loss=1.960647 lr=0.008044 Epoch[074] Batch [0299]/[1880] Speed: 193.985874 samples/sec accuracy=53.023438 loss=1.962278 lr=0.008042 Epoch[074] Batch [0349]/[1880] Speed: 177.080185 samples/sec accuracy=52.924107 loss=1.965536 lr=0.008040 Epoch[074] Batch [0399]/[1880] Speed: 202.381927 samples/sec accuracy=52.812500 loss=1.974138 lr=0.008038 Epoch[074] Batch [0449]/[1880] Speed: 169.197532 samples/sec accuracy=52.751736 loss=1.976279 lr=0.008036 Epoch[074] Batch [0499]/[1880] Speed: 196.154661 samples/sec accuracy=52.684375 loss=1.983632 lr=0.008034 Epoch[074] Batch [0549]/[1880] Speed: 188.589998 samples/sec accuracy=52.725852 loss=1.984729 lr=0.008032 Epoch[074] Batch [0599]/[1880] Speed: 178.939778 samples/sec accuracy=52.696615 loss=1.984304 lr=0.008030 Epoch[074] Batch [0649]/[1880] Speed: 204.114682 samples/sec accuracy=52.593750 loss=1.988501 lr=0.008028 Epoch[074] Batch [0699]/[1880] Speed: 173.192217 samples/sec accuracy=52.514509 loss=1.992214 lr=0.008026 Epoch[074] Batch [0749]/[1880] Speed: 183.717874 samples/sec accuracy=52.531250 loss=1.994119 lr=0.008025 Epoch[074] Batch [0799]/[1880] Speed: 197.983705 samples/sec accuracy=52.492188 loss=1.995010 lr=0.008023 Epoch[074] Batch [0849]/[1880] Speed: 178.687535 samples/sec accuracy=52.569853 loss=1.993448 lr=0.008021 Epoch[074] Batch [0899]/[1880] Speed: 178.818236 samples/sec accuracy=52.614583 loss=1.992174 lr=0.008019 Epoch[074] Batch [0949]/[1880] Speed: 204.216286 samples/sec accuracy=52.615132 loss=1.992442 lr=0.008017 Epoch[074] Batch [0999]/[1880] Speed: 169.307736 samples/sec accuracy=52.581250 loss=1.992609 lr=0.008015 Epoch[074] Batch [1049]/[1880] Speed: 191.448596 samples/sec accuracy=52.508185 loss=1.994002 lr=0.008013 Epoch[074] Batch [1099]/[1880] Speed: 192.402641 samples/sec accuracy=52.472301 loss=1.994685 lr=0.008011 Epoch[074] Batch [1149]/[1880] Speed: 171.532359 samples/sec accuracy=52.477582 loss=1.992913 lr=0.008009 Epoch[074] Batch [1199]/[1880] Speed: 192.729553 samples/sec accuracy=52.431641 loss=1.994362 lr=0.008007 Epoch[074] Batch [1249]/[1880] Speed: 188.370801 samples/sec accuracy=52.411875 loss=1.994505 lr=0.008005 Epoch[074] Batch [1299]/[1880] Speed: 183.871134 samples/sec accuracy=52.401442 loss=1.996543 lr=0.008003 Epoch[074] Batch [1349]/[1880] Speed: 187.954826 samples/sec accuracy=52.377894 loss=1.996869 lr=0.008001 Epoch[074] Batch [1399]/[1880] Speed: 191.241511 samples/sec accuracy=52.321987 loss=1.999085 lr=0.007999 Epoch[074] Batch [1449]/[1880] Speed: 173.535540 samples/sec accuracy=52.321659 loss=1.999157 lr=0.007997 Epoch[074] Batch [1499]/[1880] Speed: 197.279378 samples/sec accuracy=52.325000 loss=2.000331 lr=0.007995 Epoch[074] Batch [1549]/[1880] Speed: 184.772346 samples/sec accuracy=52.322581 loss=2.000705 lr=0.007994 Epoch[074] Batch [1599]/[1880] Speed: 190.149462 samples/sec accuracy=52.308105 loss=2.001873 lr=0.007992 Epoch[074] Batch [1649]/[1880] Speed: 175.085331 samples/sec accuracy=52.283617 loss=2.002508 lr=0.007990 Epoch[074] Batch [1699]/[1880] Speed: 194.472989 samples/sec accuracy=52.255515 loss=2.004047 lr=0.007988 Epoch[074] Batch [1749]/[1880] Speed: 193.734988 samples/sec accuracy=52.212054 loss=2.005332 lr=0.007986 Epoch[074] Batch [1799]/[1880] Speed: 172.943797 samples/sec accuracy=52.220486 loss=2.005637 lr=0.007984 Epoch[074] Batch [1849]/[1880] Speed: 198.677745 samples/sec accuracy=52.204814 loss=2.006356 lr=0.007982 Batch [0049]/[0151]: acc-top1=42.593750 acc-top5=68.328125 Batch [0099]/[0151]: acc-top1=47.070312 acc-top5=70.890625 Batch [0149]/[0151]: acc-top1=46.307292 acc-top5=70.953125 [Epoch 074] training: accuracy=52.202460 loss=2.006322 [Epoch 074] speed: 184 samples/sec time cost: 1418.121888 [Epoch 074] validation: acc-top1=46.274834 acc-top5=70.943709 loss=2.364278 Epoch[075] Batch [0049]/[1879] Speed: 133.175901 samples/sec accuracy=53.390625 loss=1.935772 lr=0.007979 Epoch[075] Batch [0099]/[1879] Speed: 199.540370 samples/sec accuracy=52.679688 loss=1.951000 lr=0.007977 Epoch[075] Batch [0149]/[1879] Speed: 178.588866 samples/sec accuracy=52.901042 loss=1.956392 lr=0.007975 Epoch[075] Batch [0199]/[1879] Speed: 186.672776 samples/sec accuracy=53.003906 loss=1.955798 lr=0.007973 Epoch[075] Batch [0249]/[1879] Speed: 182.226002 samples/sec accuracy=53.268750 loss=1.947899 lr=0.007971 Epoch[075] Batch [0299]/[1879] Speed: 192.370033 samples/sec accuracy=53.411458 loss=1.942694 lr=0.007969 Epoch[075] Batch [0349]/[1879] Speed: 194.070586 samples/sec accuracy=53.450893 loss=1.942812 lr=0.007967 Epoch[075] Batch [0399]/[1879] Speed: 166.666691 samples/sec accuracy=53.355469 loss=1.946639 lr=0.007965 Epoch[075] Batch [0449]/[1879] Speed: 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loss=1.969078 lr=0.007945 Epoch[075] Batch [0949]/[1879] Speed: 177.474385 samples/sec accuracy=52.890625 loss=1.971541 lr=0.007943 Epoch[075] Batch [0999]/[1879] Speed: 183.400664 samples/sec accuracy=52.878125 loss=1.972512 lr=0.007941 Epoch[075] Batch [1049]/[1879] Speed: 197.236971 samples/sec accuracy=52.841518 loss=1.974952 lr=0.007940 Epoch[075] Batch [1099]/[1879] Speed: 171.650591 samples/sec accuracy=52.801847 loss=1.977118 lr=0.007938 Epoch[075] Batch [1149]/[1879] Speed: 193.729304 samples/sec accuracy=52.801630 loss=1.976004 lr=0.007936 Epoch[075] Batch [1199]/[1879] Speed: 184.717031 samples/sec accuracy=52.820964 loss=1.975813 lr=0.007934 Epoch[075] Batch [1249]/[1879] Speed: 184.959888 samples/sec accuracy=52.791250 loss=1.977725 lr=0.007932 Epoch[075] Batch [1299]/[1879] Speed: 177.285106 samples/sec accuracy=52.783654 loss=1.978269 lr=0.007930 Epoch[075] Batch [1349]/[1879] Speed: 185.124691 samples/sec accuracy=52.759838 loss=1.979745 lr=0.007928 Epoch[075] Batch [1399]/[1879] Speed: 200.609469 samples/sec accuracy=52.722098 loss=1.981622 lr=0.007926 Epoch[075] Batch [1449]/[1879] Speed: 177.299938 samples/sec accuracy=52.695582 loss=1.982849 lr=0.007924 Epoch[075] Batch [1499]/[1879] Speed: 185.876567 samples/sec accuracy=52.648438 loss=1.984746 lr=0.007922 Epoch[075] Batch [1549]/[1879] Speed: 186.032834 samples/sec accuracy=52.652722 loss=1.984646 lr=0.007920 Epoch[075] Batch [1599]/[1879] Speed: 196.018157 samples/sec accuracy=52.645996 loss=1.986392 lr=0.007918 Epoch[075] Batch [1649]/[1879] Speed: 174.761042 samples/sec accuracy=52.630682 loss=1.987080 lr=0.007916 Epoch[075] Batch [1699]/[1879] Speed: 194.745725 samples/sec accuracy=52.629596 loss=1.986934 lr=0.007914 Epoch[075] Batch [1749]/[1879] Speed: 180.837798 samples/sec accuracy=52.627679 loss=1.986862 lr=0.007912 Epoch[075] Batch [1799]/[1879] Speed: 191.864873 samples/sec accuracy=52.587240 loss=1.988396 lr=0.007910 Epoch[075] Batch [1849]/[1879] Speed: 191.604744 samples/sec accuracy=52.560811 loss=1.989310 lr=0.007908 Batch [0049]/[0151]: acc-top1=42.984375 acc-top5=68.375000 Batch [0099]/[0151]: acc-top1=46.781250 acc-top5=70.867188 Batch [0149]/[0151]: acc-top1=46.130208 acc-top5=70.890625 [Epoch 075] training: accuracy=52.525446 loss=1.990570 [Epoch 075] speed: 184 samples/sec time cost: 1418.299591 [Epoch 075] validation: acc-top1=46.062707 acc-top5=70.835058 loss=2.378293 Epoch[076] Batch [0049]/[1880] Speed: 133.259974 samples/sec accuracy=53.515625 loss=1.941744 lr=0.007905 Epoch[076] Batch [0099]/[1880] Speed: 196.394712 samples/sec accuracy=53.281250 loss=1.949040 lr=0.007903 Epoch[076] Batch [0149]/[1880] Speed: 175.062165 samples/sec accuracy=53.421875 loss=1.942910 lr=0.007901 Epoch[076] Batch [0199]/[1880] Speed: 197.630405 samples/sec accuracy=53.445312 loss=1.936038 lr=0.007899 Epoch[076] Batch [0249]/[1880] Speed: 173.720541 samples/sec accuracy=53.256250 loss=1.944083 lr=0.007897 Epoch[076] Batch [0299]/[1880] Speed: 198.090174 samples/sec accuracy=53.195312 loss=1.944752 lr=0.007895 Epoch[076] Batch [0349]/[1880] Speed: 173.376365 samples/sec accuracy=53.142857 loss=1.948622 lr=0.007893 Epoch[076] Batch [0399]/[1880] Speed: 195.774153 samples/sec accuracy=53.132813 loss=1.951787 lr=0.007891 Epoch[076] Batch [0449]/[1880] Speed: 199.489321 samples/sec accuracy=53.137153 loss=1.953488 lr=0.007889 Epoch[076] Batch [0499]/[1880] Speed: 169.236898 samples/sec accuracy=53.134375 loss=1.955250 lr=0.007887 Epoch[076] Batch [0549]/[1880] Speed: 197.123519 samples/sec accuracy=53.140625 loss=1.955232 lr=0.007885 Epoch[076] Batch [0599]/[1880] Speed: 169.854098 samples/sec accuracy=53.022135 loss=1.959298 lr=0.007883 Epoch[076] Batch [0649]/[1880] Speed: 195.747724 samples/sec accuracy=52.978365 loss=1.962016 lr=0.007881 Epoch[076] Batch [0699]/[1880] Speed: 197.648180 samples/sec accuracy=52.885045 loss=1.965840 lr=0.007879 Epoch[076] Batch [0749]/[1880] Speed: 161.673215 samples/sec accuracy=52.857292 loss=1.967684 lr=0.007877 Epoch[076] Batch [0799]/[1880] Speed: 202.634477 samples/sec accuracy=52.850586 loss=1.967825 lr=0.007875 Epoch[076] Batch [0849]/[1880] Speed: 172.870055 samples/sec accuracy=52.874081 loss=1.968975 lr=0.007873 Epoch[076] Batch [0899]/[1880] Speed: 200.899856 samples/sec accuracy=52.834201 loss=1.970318 lr=0.007871 Epoch[076] Batch [0949]/[1880] Speed: 182.840909 samples/sec accuracy=52.842928 loss=1.971458 lr=0.007869 Epoch[076] Batch [0999]/[1880] Speed: 180.012848 samples/sec accuracy=52.874219 loss=1.972104 lr=0.007867 Epoch[076] Batch [1049]/[1880] Speed: 200.739048 samples/sec accuracy=52.889881 loss=1.971067 lr=0.007865 Epoch[076] Batch [1099]/[1880] Speed: 167.853695 samples/sec accuracy=52.860085 loss=1.973082 lr=0.007863 Epoch[076] Batch [1149]/[1880] Speed: 196.539293 samples/sec accuracy=52.879076 loss=1.974446 lr=0.007861 Epoch[076] Batch [1199]/[1880] Speed: 173.050324 samples/sec accuracy=52.858073 loss=1.974276 lr=0.007859 Epoch[076] Batch [1249]/[1880] Speed: 199.927079 samples/sec accuracy=52.875625 loss=1.973627 lr=0.007857 Epoch[076] Batch [1299]/[1880] Speed: 170.007276 samples/sec accuracy=52.854567 loss=1.975407 lr=0.007855 Epoch[076] Batch [1349]/[1880] Speed: 204.192998 samples/sec accuracy=52.785301 loss=1.977284 lr=0.007853 Epoch[076] Batch [1399]/[1880] Speed: 182.960176 samples/sec accuracy=52.837612 loss=1.976272 lr=0.007851 Epoch[076] Batch [1449]/[1880] Speed: 181.429717 samples/sec accuracy=52.829741 loss=1.976295 lr=0.007849 Epoch[076] Batch [1499]/[1880] Speed: 197.201585 samples/sec accuracy=52.830729 loss=1.975967 lr=0.007847 Epoch[076] Batch [1549]/[1880] Speed: 181.912984 samples/sec accuracy=52.822581 loss=1.977126 lr=0.007845 Epoch[076] Batch [1599]/[1880] Speed: 187.014341 samples/sec accuracy=52.794922 loss=1.978205 lr=0.007843 Epoch[076] Batch [1649]/[1880] Speed: 184.050464 samples/sec accuracy=52.786458 loss=1.978393 lr=0.007841 Epoch[076] Batch [1699]/[1880] Speed: 185.214945 samples/sec accuracy=52.761489 loss=1.980046 lr=0.007839 Epoch[076] Batch [1749]/[1880] Speed: 190.781305 samples/sec accuracy=52.747768 loss=1.981509 lr=0.007837 Epoch[076] Batch [1799]/[1880] Speed: 177.630758 samples/sec accuracy=52.733507 loss=1.981775 lr=0.007835 Epoch[076] Batch [1849]/[1880] Speed: 188.025227 samples/sec accuracy=52.743243 loss=1.981400 lr=0.007833 Batch [0049]/[0151]: acc-top1=42.531250 acc-top5=68.375000 Batch [0099]/[0151]: acc-top1=47.015625 acc-top5=71.195312 Batch [0149]/[0151]: acc-top1=46.197917 acc-top5=71.093750 [Epoch 076] training: accuracy=52.732713 loss=1.982072 [Epoch 076] speed: 184 samples/sec time cost: 1419.446069 [Epoch 076] validation: acc-top1=46.145488 acc-top5=71.047185 loss=2.375016 Epoch[077] Batch [0049]/[1880] Speed: 138.033323 samples/sec accuracy=54.078125 loss=1.930155 lr=0.007830 Epoch[077] Batch [0099]/[1880] Speed: 173.792705 samples/sec accuracy=53.890625 loss=1.938504 lr=0.007828 Epoch[077] Batch [0149]/[1880] Speed: 194.231802 samples/sec accuracy=53.765625 loss=1.939105 lr=0.007826 Epoch[077] Batch [0199]/[1880] Speed: 194.556369 samples/sec accuracy=53.781250 loss=1.936921 lr=0.007824 Epoch[077] Batch [0249]/[1880] Speed: 174.926838 samples/sec accuracy=53.806250 loss=1.933136 lr=0.007822 Epoch[077] Batch [0299]/[1880] Speed: 200.451721 samples/sec accuracy=53.744792 loss=1.936361 lr=0.007820 Epoch[077] Batch [0349]/[1880] Speed: 183.985159 samples/sec accuracy=53.727679 loss=1.939136 lr=0.007818 Epoch[077] Batch [0399]/[1880] Speed: 182.166621 samples/sec accuracy=53.861328 loss=1.933329 lr=0.007816 Epoch[077] Batch [0449]/[1880] Speed: 177.764942 samples/sec accuracy=53.730903 loss=1.937334 lr=0.007814 Epoch[077] Batch [0499]/[1880] Speed: 201.344224 samples/sec accuracy=53.720312 loss=1.940779 lr=0.007812 Epoch[077] Batch [0549]/[1880] Speed: 180.006570 samples/sec accuracy=53.592330 loss=1.945347 lr=0.007810 Epoch[077] Batch [0599]/[1880] Speed: 175.663360 samples/sec accuracy=53.582031 loss=1.944649 lr=0.007808 Epoch[077] Batch [0649]/[1880] Speed: 202.707060 samples/sec accuracy=53.566106 loss=1.947241 lr=0.007806 Epoch[077] Batch [0699]/[1880] Speed: 170.155351 samples/sec accuracy=53.579241 loss=1.948158 lr=0.007804 Epoch[077] Batch [0749]/[1880] Speed: 205.943419 samples/sec accuracy=53.511458 loss=1.950551 lr=0.007802 Epoch[077] Batch [0799]/[1880] Speed: 175.397966 samples/sec accuracy=53.489258 loss=1.952974 lr=0.007800 Epoch[077] Batch [0849]/[1880] Speed: 183.847100 samples/sec accuracy=53.451287 loss=1.953540 lr=0.007798 Epoch[077] Batch [0899]/[1880] Speed: 192.173812 samples/sec accuracy=53.411458 loss=1.955545 lr=0.007796 Epoch[077] Batch [0949]/[1880] Speed: 183.549504 samples/sec accuracy=53.411184 loss=1.954127 lr=0.007794 Epoch[077] Batch [0999]/[1880] Speed: 188.847752 samples/sec accuracy=53.350781 loss=1.957022 lr=0.007792 Epoch[077] Batch [1049]/[1880] Speed: 173.486960 samples/sec accuracy=53.304315 loss=1.958351 lr=0.007790 Epoch[077] Batch [1099]/[1880] Speed: 193.593366 samples/sec accuracy=53.240767 loss=1.960213 lr=0.007788 Epoch[077] Batch [1149]/[1880] Speed: 193.934393 samples/sec accuracy=53.212636 loss=1.961427 lr=0.007786 Epoch[077] Batch [1199]/[1880] Speed: 183.176447 samples/sec accuracy=53.158854 loss=1.963034 lr=0.007784 Epoch[077] Batch [1249]/[1880] Speed: 192.034261 samples/sec accuracy=53.140000 loss=1.962441 lr=0.007782 Epoch[077] Batch [1299]/[1880] Speed: 180.285996 samples/sec accuracy=53.079327 loss=1.964166 lr=0.007780 Epoch[077] Batch [1349]/[1880] Speed: 197.143793 samples/sec accuracy=53.013889 loss=1.966476 lr=0.007778 Epoch[077] Batch [1399]/[1880] Speed: 174.499944 samples/sec accuracy=52.992746 loss=1.967577 lr=0.007776 Epoch[077] Batch [1449]/[1880] Speed: 188.460258 samples/sec accuracy=52.959591 loss=1.968659 lr=0.007774 Epoch[077] Batch [1499]/[1880] Speed: 177.587836 samples/sec accuracy=52.982813 loss=1.967279 lr=0.007772 Epoch[077] Batch [1549]/[1880] Speed: 194.541780 samples/sec accuracy=52.957661 loss=1.968340 lr=0.007770 Epoch[077] Batch [1599]/[1880] Speed: 187.917077 samples/sec accuracy=52.959473 loss=1.967634 lr=0.007768 Epoch[077] Batch [1649]/[1880] Speed: 171.945677 samples/sec accuracy=52.989583 loss=1.966818 lr=0.007766 Epoch[077] Batch [1699]/[1880] Speed: 204.720301 samples/sec accuracy=52.963235 loss=1.967085 lr=0.007764 Epoch[077] Batch [1749]/[1880] Speed: 167.196883 samples/sec accuracy=52.928571 loss=1.968621 lr=0.007762 Epoch[077] Batch [1799]/[1880] Speed: 205.074416 samples/sec accuracy=52.914497 loss=1.969512 lr=0.007759 Epoch[077] Batch [1849]/[1880] Speed: 167.496237 samples/sec accuracy=52.894426 loss=1.971466 lr=0.007757 Batch [0049]/[0151]: acc-top1=43.062500 acc-top5=68.109375 Batch [0099]/[0151]: acc-top1=46.679688 acc-top5=70.648438 Batch [0149]/[0151]: acc-top1=45.942708 acc-top5=70.645833 [Epoch 077] training: accuracy=52.888132 loss=1.972110 [Epoch 077] speed: 184 samples/sec time cost: 1418.945885 [Epoch 077] validation: acc-top1=45.871275 acc-top5=70.602235 loss=2.373189 Epoch[078] Batch [0049]/[1880] Speed: 133.487637 samples/sec accuracy=53.031250 loss=1.922704 lr=0.007754 Epoch[078] Batch [0099]/[1880] Speed: 188.275130 samples/sec accuracy=53.976562 loss=1.911026 lr=0.007752 Epoch[078] Batch [0149]/[1880] Speed: 193.876805 samples/sec accuracy=53.859375 loss=1.920540 lr=0.007750 Epoch[078] Batch [0199]/[1880] Speed: 173.262376 samples/sec accuracy=53.820312 loss=1.919569 lr=0.007748 Epoch[078] Batch [0249]/[1880] Speed: 196.815110 samples/sec accuracy=53.618750 loss=1.928606 lr=0.007746 Epoch[078] Batch [0299]/[1880] Speed: 178.003574 samples/sec accuracy=53.695312 loss=1.934479 lr=0.007744 Epoch[078] Batch [0349]/[1880] Speed: 193.444638 samples/sec accuracy=53.707589 loss=1.934655 lr=0.007742 Epoch[078] Batch [0399]/[1880] Speed: 178.992163 samples/sec accuracy=53.720703 loss=1.934356 lr=0.007740 Epoch[078] Batch [0449]/[1880] Speed: 198.466477 samples/sec accuracy=53.621528 loss=1.937162 lr=0.007738 Epoch[078] Batch [0499]/[1880] Speed: 186.792196 samples/sec accuracy=53.579687 loss=1.941585 lr=0.007736 Epoch[078] Batch [0549]/[1880] Speed: 189.307698 samples/sec accuracy=53.501420 loss=1.941011 lr=0.007734 Epoch[078] Batch [0599]/[1880] Speed: 175.047753 samples/sec accuracy=53.446615 loss=1.944301 lr=0.007732 Epoch[078] Batch [0649]/[1880] Speed: 197.864485 samples/sec accuracy=53.451923 loss=1.946081 lr=0.007730 Epoch[078] Batch [0699]/[1880] Speed: 174.565472 samples/sec accuracy=53.435268 loss=1.947126 lr=0.007728 Epoch[078] Batch [0749]/[1880] Speed: 206.893673 samples/sec accuracy=53.350000 loss=1.949825 lr=0.007726 Epoch[078] Batch [0799]/[1880] Speed: 180.359723 samples/sec accuracy=53.257812 loss=1.954273 lr=0.007724 Epoch[078] Batch [0849]/[1880] Speed: 176.930928 samples/sec accuracy=53.184743 loss=1.956520 lr=0.007722 Epoch[078] Batch [0899]/[1880] Speed: 191.033898 samples/sec accuracy=53.220486 loss=1.953462 lr=0.007720 Epoch[078] Batch [0949]/[1880] Speed: 188.545688 samples/sec accuracy=53.214638 loss=1.953498 lr=0.007718 Epoch[078] Batch [0999]/[1880] Speed: 186.031486 samples/sec accuracy=53.232813 loss=1.954029 lr=0.007716 Epoch[078] Batch [1049]/[1880] Speed: 186.055276 samples/sec accuracy=53.236607 loss=1.954835 lr=0.007714 Epoch[078] Batch [1099]/[1880] Speed: 174.422625 samples/sec accuracy=53.217330 loss=1.956308 lr=0.007711 Epoch[078] Batch [1149]/[1880] Speed: 196.010779 samples/sec accuracy=53.205842 loss=1.956622 lr=0.007709 Epoch[078] Batch [1199]/[1880] Speed: 201.942050 samples/sec accuracy=53.225260 loss=1.955955 lr=0.007707 Epoch[078] Batch [1249]/[1880] Speed: 162.954057 samples/sec accuracy=53.260625 loss=1.954440 lr=0.007705 Epoch[078] Batch [1299]/[1880] Speed: 204.799288 samples/sec accuracy=53.241587 loss=1.956279 lr=0.007703 Epoch[078] Batch [1349]/[1880] Speed: 178.178939 samples/sec accuracy=53.280671 loss=1.954735 lr=0.007701 Epoch[078] Batch [1399]/[1880] Speed: 190.689643 samples/sec accuracy=53.288504 loss=1.953660 lr=0.007699 Epoch[078] Batch [1449]/[1880] Speed: 172.934861 samples/sec accuracy=53.272629 loss=1.954492 lr=0.007697 Epoch[078] Batch [1499]/[1880] Speed: 201.006213 samples/sec accuracy=53.276042 loss=1.955068 lr=0.007695 Epoch[078] Batch [1549]/[1880] Speed: 195.401582 samples/sec accuracy=53.265625 loss=1.955713 lr=0.007693 Epoch[078] Batch [1599]/[1880] Speed: 165.553513 samples/sec accuracy=53.261230 loss=1.956276 lr=0.007691 Epoch[078] Batch [1649]/[1880] Speed: 205.726457 samples/sec accuracy=53.243845 loss=1.956953 lr=0.007689 Epoch[078] Batch [1699]/[1880] Speed: 171.888479 samples/sec accuracy=53.222886 loss=1.956564 lr=0.007687 Epoch[078] Batch [1749]/[1880] Speed: 190.992753 samples/sec accuracy=53.177232 loss=1.958873 lr=0.007685 Epoch[078] Batch [1799]/[1880] Speed: 192.831699 samples/sec accuracy=53.194878 loss=1.958139 lr=0.007683 Epoch[078] Batch [1849]/[1880] Speed: 169.295858 samples/sec accuracy=53.170608 loss=1.959456 lr=0.007681 Batch [0049]/[0151]: acc-top1=44.218750 acc-top5=69.562500 Batch [0099]/[0151]: acc-top1=47.750000 acc-top5=71.742188 Batch [0149]/[0151]: acc-top1=46.447917 acc-top5=71.416667 [Epoch 078] training: accuracy=53.166556 loss=1.959596 [Epoch 078] speed: 185 samples/sec time cost: 1416.892164 [Epoch 078] validation: acc-top1=46.373137 acc-top5=71.378311 loss=2.354544 Epoch[079] Batch [0049]/[1880] Speed: 134.845698 samples/sec accuracy=54.953125 loss=1.875729 lr=0.007677 Epoch[079] Batch [0099]/[1880] Speed: 182.472553 samples/sec accuracy=54.281250 loss=1.904770 lr=0.007675 Epoch[079] Batch [0149]/[1880] Speed: 199.049190 samples/sec accuracy=54.119792 loss=1.906539 lr=0.007673 Epoch[079] Batch [0199]/[1880] Speed: 166.658616 samples/sec accuracy=53.882812 loss=1.920097 lr=0.007671 Epoch[079] Batch [0249]/[1880] Speed: 206.531860 samples/sec accuracy=53.809375 loss=1.922177 lr=0.007669 Epoch[079] Batch [0299]/[1880] Speed: 176.097520 samples/sec accuracy=53.721354 loss=1.930022 lr=0.007667 Epoch[079] Batch [0349]/[1880] Speed: 188.029360 samples/sec accuracy=53.799107 loss=1.931170 lr=0.007665 Epoch[079] Batch [0399]/[1880] Speed: 187.857629 samples/sec accuracy=53.673828 loss=1.933723 lr=0.007663 Epoch[079] Batch [0449]/[1880] Speed: 187.774703 samples/sec accuracy=53.718750 loss=1.932125 lr=0.007661 Epoch[079] Batch [0499]/[1880] Speed: 190.235193 samples/sec accuracy=53.721875 loss=1.934649 lr=0.007659 Epoch[079] Batch [0549]/[1880] Speed: 179.189129 samples/sec accuracy=53.636364 loss=1.939140 lr=0.007657 Epoch[079] Batch [0599]/[1880] Speed: 190.634621 samples/sec accuracy=53.601562 loss=1.943214 lr=0.007655 Epoch[079] Batch [0649]/[1880] Speed: 192.880315 samples/sec accuracy=53.594952 loss=1.942718 lr=0.007653 Epoch[079] Batch [0699]/[1880] Speed: 177.326980 samples/sec accuracy=53.635045 loss=1.941158 lr=0.007651 Epoch[079] Batch [0749]/[1880] Speed: 189.552001 samples/sec accuracy=53.651042 loss=1.940927 lr=0.007649 Epoch[079] Batch [0799]/[1880] Speed: 186.428311 samples/sec accuracy=53.581055 loss=1.943247 lr=0.007647 Epoch[079] Batch [0849]/[1880] Speed: 182.583756 samples/sec accuracy=53.615809 loss=1.940176 lr=0.007645 Epoch[079] Batch [0899]/[1880] Speed: 190.774043 samples/sec accuracy=53.611111 loss=1.939474 lr=0.007643 Epoch[079] Batch [0949]/[1880] Speed: 176.925653 samples/sec accuracy=53.619243 loss=1.939338 lr=0.007640 Epoch[079] Batch [0999]/[1880] Speed: 193.916028 samples/sec accuracy=53.584375 loss=1.941787 lr=0.007638 Epoch[079] Batch [1049]/[1880] Speed: 198.020712 samples/sec accuracy=53.522321 loss=1.944023 lr=0.007636 Epoch[079] Batch [1099]/[1880] Speed: 164.685497 samples/sec accuracy=53.507812 loss=1.945924 lr=0.007634 Epoch[079] Batch [1149]/[1880] Speed: 208.227388 samples/sec accuracy=53.493886 loss=1.944523 lr=0.007632 Epoch[079] Batch [1199]/[1880] Speed: 175.597649 samples/sec accuracy=53.466146 loss=1.946120 lr=0.007630 Epoch[079] Batch [1249]/[1880] Speed: 190.721991 samples/sec accuracy=53.461875 loss=1.946236 lr=0.007628 Epoch[079] Batch [1299]/[1880] Speed: 188.393152 samples/sec accuracy=53.477163 loss=1.946464 lr=0.007626 Epoch[079] Batch [1349]/[1880] Speed: 179.071158 samples/sec accuracy=53.448495 loss=1.947589 lr=0.007624 Epoch[079] Batch [1399]/[1880] Speed: 207.407540 samples/sec accuracy=53.392299 loss=1.950056 lr=0.007622 Epoch[079] Batch [1449]/[1880] Speed: 172.816067 samples/sec accuracy=53.406789 loss=1.949721 lr=0.007620 Epoch[079] Batch [1499]/[1880] Speed: 191.270933 samples/sec accuracy=53.377604 loss=1.951119 lr=0.007618 Epoch[079] Batch [1549]/[1880] Speed: 173.354559 samples/sec accuracy=53.379536 loss=1.950809 lr=0.007616 Epoch[079] Batch [1599]/[1880] Speed: 198.952645 samples/sec accuracy=53.355957 loss=1.951144 lr=0.007614 Epoch[079] Batch [1649]/[1880] Speed: 188.542549 samples/sec accuracy=53.323390 loss=1.951627 lr=0.007611 Epoch[079] Batch [1699]/[1880] Speed: 175.591601 samples/sec accuracy=53.346048 loss=1.951089 lr=0.007609 Epoch[079] Batch [1749]/[1880] Speed: 198.018612 samples/sec accuracy=53.354911 loss=1.951621 lr=0.007607 Epoch[079] Batch [1799]/[1880] Speed: 179.535715 samples/sec accuracy=53.320747 loss=1.953352 lr=0.007605 Epoch[079] Batch [1849]/[1880] Speed: 178.736892 samples/sec accuracy=53.275338 loss=1.954579 lr=0.007603 Batch [0049]/[0151]: acc-top1=43.703125 acc-top5=68.359375 Batch [0099]/[0151]: acc-top1=47.398438 acc-top5=71.000000 Batch [0149]/[0151]: acc-top1=46.651042 acc-top5=71.062500 [Epoch 079] training: accuracy=53.282497 loss=1.954163 [Epoch 079] speed: 185 samples/sec time cost: 1415.745259 [Epoch 079] validation: acc-top1=46.605960 acc-top5=71.010969 loss=2.363776 Epoch[080] Batch [0049]/[1880] Speed: 131.312567 samples/sec accuracy=55.000000 loss=1.887166 lr=0.007600 Epoch[080] Batch [0099]/[1880] Speed: 203.326714 samples/sec accuracy=54.429688 loss=1.905843 lr=0.007598 Epoch[080] Batch [0149]/[1880] Speed: 165.519338 samples/sec accuracy=54.500000 loss=1.901928 lr=0.007596 Epoch[080] Batch [0199]/[1880] Speed: 202.147417 samples/sec accuracy=54.628906 loss=1.890827 lr=0.007594 Epoch[080] Batch [0249]/[1880] Speed: 189.653089 samples/sec accuracy=54.412500 loss=1.902075 lr=0.007592 Epoch[080] Batch [0299]/[1880] Speed: 171.789073 samples/sec accuracy=54.164062 loss=1.909241 lr=0.007589 Epoch[080] Batch [0349]/[1880] Speed: 199.293106 samples/sec accuracy=54.229911 loss=1.906938 lr=0.007587 Epoch[080] Batch [0399]/[1880] Speed: 173.729567 samples/sec accuracy=54.152344 loss=1.911980 lr=0.007585 Epoch[080] Batch [0449]/[1880] Speed: 199.243545 samples/sec accuracy=54.072917 loss=1.912463 lr=0.007583 Epoch[080] Batch [0499]/[1880] Speed: 186.351046 samples/sec accuracy=54.115625 loss=1.910413 lr=0.007581 Epoch[080] Batch [0549]/[1880] Speed: 174.753286 samples/sec accuracy=54.017045 loss=1.915795 lr=0.007579 Epoch[080] Batch [0599]/[1880] Speed: 202.566226 samples/sec accuracy=54.019531 loss=1.915738 lr=0.007577 Epoch[080] Batch [0649]/[1880] Speed: 181.587315 samples/sec accuracy=53.937500 loss=1.918957 lr=0.007575 Epoch[080] Batch [0699]/[1880] Speed: 181.072590 samples/sec accuracy=53.805804 loss=1.922651 lr=0.007573 Epoch[080] Batch [0749]/[1880] Speed: 198.892313 samples/sec accuracy=53.768750 loss=1.922931 lr=0.007571 Epoch[080] Batch [0799]/[1880] Speed: 161.955132 samples/sec accuracy=53.731445 loss=1.923518 lr=0.007569 Epoch[080] Batch [0849]/[1880] Speed: 201.054475 samples/sec accuracy=53.732537 loss=1.924377 lr=0.007567 Epoch[080] Batch [0899]/[1880] Speed: 193.909390 samples/sec accuracy=53.677951 loss=1.928167 lr=0.007564 Epoch[080] Batch [0949]/[1880] Speed: 178.021705 samples/sec accuracy=53.658717 loss=1.929243 lr=0.007562 Epoch[080] Batch [0999]/[1880] Speed: 192.678584 samples/sec accuracy=53.685156 loss=1.928786 lr=0.007560 Epoch[080] Batch [1049]/[1880] Speed: 172.974689 samples/sec accuracy=53.681548 loss=1.930175 lr=0.007558 Epoch[080] Batch [1099]/[1880] Speed: 200.762371 samples/sec accuracy=53.666903 loss=1.929556 lr=0.007556 Epoch[080] Batch [1149]/[1880] Speed: 187.027571 samples/sec accuracy=53.670516 loss=1.930054 lr=0.007554 Epoch[080] Batch [1199]/[1880] Speed: 171.820550 samples/sec accuracy=53.628255 loss=1.931100 lr=0.007552 Epoch[080] Batch [1249]/[1880] Speed: 203.986032 samples/sec accuracy=53.617500 loss=1.931368 lr=0.007550 Epoch[080] Batch [1299]/[1880] Speed: 175.808787 samples/sec accuracy=53.625601 loss=1.931206 lr=0.007548 Epoch[080] Batch [1349]/[1880] Speed: 196.794861 samples/sec accuracy=53.604167 loss=1.932910 lr=0.007546 Epoch[080] Batch [1399]/[1880] Speed: 175.520565 samples/sec accuracy=53.583705 loss=1.933828 lr=0.007544 Epoch[080] Batch [1449]/[1880] Speed: 196.150399 samples/sec accuracy=53.635776 loss=1.932682 lr=0.007542 Epoch[080] Batch [1499]/[1880] Speed: 171.006976 samples/sec accuracy=53.598958 loss=1.934129 lr=0.007539 Epoch[080] Batch [1549]/[1880] Speed: 205.080444 samples/sec accuracy=53.598286 loss=1.934143 lr=0.007537 Epoch[080] Batch [1599]/[1880] Speed: 187.376479 samples/sec accuracy=53.596680 loss=1.934350 lr=0.007535 Epoch[080] Batch [1649]/[1880] Speed: 171.961448 samples/sec accuracy=53.568655 loss=1.935804 lr=0.007533 Epoch[080] Batch [1699]/[1880] Speed: 202.659095 samples/sec accuracy=53.555147 loss=1.936322 lr=0.007531 Epoch[080] Batch [1749]/[1880] Speed: 170.248245 samples/sec accuracy=53.552232 loss=1.937043 lr=0.007529 Epoch[080] Batch [1799]/[1880] Speed: 196.203318 samples/sec accuracy=53.547309 loss=1.937340 lr=0.007527 Epoch[080] Batch [1849]/[1880] Speed: 183.280525 samples/sec accuracy=53.544764 loss=1.937538 lr=0.007525 Batch [0049]/[0151]: acc-top1=43.593750 acc-top5=69.421875 Batch [0099]/[0151]: acc-top1=47.625000 acc-top5=71.375000 Batch [0149]/[0151]: acc-top1=46.208333 acc-top5=70.968750 [Epoch 080] training: accuracy=53.544299 loss=1.938445 [Epoch 080] speed: 184 samples/sec time cost: 1418.765686 [Epoch 080] validation: acc-top1=46.186879 acc-top5=70.933361 loss=2.370362 Epoch[081] Batch [0049]/[1879] Speed: 134.535783 samples/sec accuracy=55.140625 loss=1.877913 lr=0.007521 Epoch[081] Batch [0099]/[1879] Speed: 189.147111 samples/sec accuracy=54.718750 loss=1.883739 lr=0.007519 Epoch[081] Batch [0149]/[1879] Speed: 184.871006 samples/sec accuracy=54.807292 loss=1.881832 lr=0.007517 Epoch[081] Batch [0199]/[1879] Speed: 184.598818 samples/sec accuracy=54.605469 loss=1.892536 lr=0.007515 Epoch[081] Batch [0249]/[1879] Speed: 181.300866 samples/sec accuracy=54.503125 loss=1.898375 lr=0.007513 Epoch[081] Batch [0299]/[1879] Speed: 199.219047 samples/sec accuracy=54.328125 loss=1.904535 lr=0.007511 Epoch[081] Batch [0349]/[1879] Speed: 169.934836 samples/sec accuracy=54.392857 loss=1.897653 lr=0.007509 Epoch[081] Batch [0399]/[1879] Speed: 194.631856 samples/sec accuracy=54.332031 loss=1.898210 lr=0.007507 Epoch[081] Batch [0449]/[1879] Speed: 181.349833 samples/sec accuracy=54.456597 loss=1.893913 lr=0.007505 Epoch[081] Batch [0499]/[1879] Speed: 199.187058 samples/sec accuracy=54.415625 loss=1.896705 lr=0.007502 Epoch[081] Batch [0549]/[1879] Speed: 170.535407 samples/sec accuracy=54.404830 loss=1.898048 lr=0.007500 Epoch[081] Batch [0599]/[1879] Speed: 195.775330 samples/sec accuracy=54.411458 loss=1.900165 lr=0.007498 Epoch[081] Batch [0649]/[1879] Speed: 176.204795 samples/sec accuracy=54.294471 loss=1.906660 lr=0.007496 Epoch[081] Batch [0699]/[1879] Speed: 188.125420 samples/sec accuracy=54.207589 loss=1.910412 lr=0.007494 Epoch[081] Batch [0749]/[1879] Speed: 200.567261 samples/sec accuracy=54.185417 loss=1.911410 lr=0.007492 Epoch[081] Batch [0799]/[1879] Speed: 177.664952 samples/sec accuracy=54.120117 loss=1.913577 lr=0.007490 Epoch[081] Batch [0849]/[1879] Speed: 188.974811 samples/sec accuracy=54.234375 loss=1.910038 lr=0.007488 Epoch[081] Batch [0899]/[1879] Speed: 170.377589 samples/sec accuracy=54.167535 loss=1.913822 lr=0.007486 Epoch[081] Batch [0949]/[1879] Speed: 206.419811 samples/sec accuracy=54.152138 loss=1.914378 lr=0.007484 Epoch[081] Batch [0999]/[1879] Speed: 180.735530 samples/sec accuracy=54.146094 loss=1.915211 lr=0.007481 Epoch[081] Batch [1049]/[1879] Speed: 186.362117 samples/sec accuracy=54.106399 loss=1.915537 lr=0.007479 Epoch[081] Batch [1099]/[1879] Speed: 181.446396 samples/sec accuracy=54.103693 loss=1.916627 lr=0.007477 Epoch[081] Batch [1149]/[1879] Speed: 178.482553 samples/sec accuracy=54.101902 loss=1.917120 lr=0.007475 Epoch[081] Batch [1199]/[1879] Speed: 199.345938 samples/sec accuracy=54.095052 loss=1.916671 lr=0.007473 Epoch[081] Batch [1249]/[1879] Speed: 174.151907 samples/sec accuracy=54.083125 loss=1.917826 lr=0.007471 Epoch[081] Batch [1299]/[1879] Speed: 191.919666 samples/sec accuracy=54.064904 loss=1.918045 lr=0.007469 Epoch[081] Batch [1349]/[1879] Speed: 198.383550 samples/sec accuracy=54.045718 loss=1.918625 lr=0.007467 Epoch[081] Batch [1399]/[1879] Speed: 165.656042 samples/sec accuracy=54.069196 loss=1.917595 lr=0.007465 Epoch[081] Batch [1449]/[1879] Speed: 199.199259 samples/sec accuracy=54.071121 loss=1.918236 lr=0.007462 Epoch[081] Batch [1499]/[1879] Speed: 182.128849 samples/sec accuracy=54.047396 loss=1.920179 lr=0.007460 Epoch[081] Batch [1549]/[1879] Speed: 177.904579 samples/sec accuracy=54.008065 loss=1.921443 lr=0.007458 Epoch[081] Batch [1599]/[1879] Speed: 199.545711 samples/sec accuracy=53.987305 loss=1.922537 lr=0.007456 Epoch[081] Batch [1649]/[1879] Speed: 179.991380 samples/sec accuracy=53.987216 loss=1.922023 lr=0.007454 Epoch[081] Batch [1699]/[1879] Speed: 181.161261 samples/sec accuracy=53.987132 loss=1.922577 lr=0.007452 Epoch[081] Batch [1749]/[1879] Speed: 194.290030 samples/sec accuracy=53.980357 loss=1.922901 lr=0.007450 Epoch[081] Batch [1799]/[1879] Speed: 196.507036 samples/sec accuracy=53.973524 loss=1.922685 lr=0.007448 Epoch[081] Batch [1849]/[1879] Speed: 171.442399 samples/sec accuracy=53.946368 loss=1.923500 lr=0.007445 Batch [0049]/[0151]: acc-top1=43.828125 acc-top5=68.343750 Batch [0099]/[0151]: acc-top1=47.132812 acc-top5=70.976562 Batch [0149]/[0151]: acc-top1=45.906250 acc-top5=70.786458 [Epoch 081] training: accuracy=53.954480 loss=1.923620 [Epoch 081] speed: 184 samples/sec time cost: 1420.149205 [Epoch 081] validation: acc-top1=45.902318 acc-top5=70.767798 loss=2.385727 Epoch[082] Batch [0049]/[1880] Speed: 130.324861 samples/sec accuracy=55.421875 loss=1.883101 lr=0.007442 Epoch[082] Batch [0099]/[1880] Speed: 195.173163 samples/sec accuracy=54.898438 loss=1.886592 lr=0.007440 Epoch[082] Batch [0149]/[1880] Speed: 182.659340 samples/sec accuracy=54.786458 loss=1.892337 lr=0.007438 Epoch[082] Batch [0199]/[1880] Speed: 175.589976 samples/sec accuracy=54.851562 loss=1.886431 lr=0.007436 Epoch[082] Batch [0249]/[1880] Speed: 208.079829 samples/sec accuracy=54.868750 loss=1.885176 lr=0.007434 Epoch[082] Batch [0299]/[1880] Speed: 182.474285 samples/sec accuracy=54.807292 loss=1.890351 lr=0.007432 Epoch[082] Batch [0349]/[1880] Speed: 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loss=1.905932 lr=0.007410 Epoch[082] Batch [0849]/[1880] Speed: 200.528853 samples/sec accuracy=54.403493 loss=1.905515 lr=0.007408 Epoch[082] Batch [0899]/[1880] Speed: 183.330623 samples/sec accuracy=54.368924 loss=1.907409 lr=0.007406 Epoch[082] Batch [0949]/[1880] Speed: 178.292868 samples/sec accuracy=54.341283 loss=1.907158 lr=0.007404 Epoch[082] Batch [0999]/[1880] Speed: 196.127661 samples/sec accuracy=54.325000 loss=1.907838 lr=0.007402 Epoch[082] Batch [1049]/[1880] Speed: 180.725400 samples/sec accuracy=54.372768 loss=1.906681 lr=0.007400 Epoch[082] Batch [1099]/[1880] Speed: 185.451010 samples/sec accuracy=54.347301 loss=1.907092 lr=0.007397 Epoch[082] Batch [1149]/[1880] Speed: 196.678697 samples/sec accuracy=54.275815 loss=1.911018 lr=0.007395 Epoch[082] Batch [1199]/[1880] Speed: 178.536888 samples/sec accuracy=54.248047 loss=1.912324 lr=0.007393 Epoch[082] Batch [1249]/[1880] Speed: 190.387047 samples/sec accuracy=54.267500 loss=1.911619 lr=0.007391 Epoch[082] Batch 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accuracy=54.272321 loss=1.911597 lr=0.007370 Epoch[082] Batch [1799]/[1880] Speed: 180.003886 samples/sec accuracy=54.269097 loss=1.911792 lr=0.007368 Epoch[082] Batch [1849]/[1880] Speed: 200.940890 samples/sec accuracy=54.253801 loss=1.913015 lr=0.007365 Batch [0049]/[0151]: acc-top1=44.406250 acc-top5=68.921875 Batch [0099]/[0151]: acc-top1=48.109375 acc-top5=71.921875 Batch [0149]/[0151]: acc-top1=47.302083 acc-top5=71.921875 [Epoch 082] training: accuracy=54.234957 loss=1.914246 [Epoch 082] speed: 184 samples/sec time cost: 1418.766313 [Epoch 082] validation: acc-top1=47.231995 acc-top5=71.869826 loss=2.310230 Epoch[083] Batch [0049]/[1880] Speed: 135.705832 samples/sec accuracy=54.875000 loss=1.850051 lr=0.007362 Epoch[083] Batch [0099]/[1880] Speed: 180.667155 samples/sec accuracy=55.031250 loss=1.854517 lr=0.007360 Epoch[083] Batch [0149]/[1880] Speed: 191.439219 samples/sec accuracy=55.062500 loss=1.853537 lr=0.007358 Epoch[083] Batch [0199]/[1880] Speed: 192.674511 samples/sec accuracy=55.195313 loss=1.854091 lr=0.007356 Epoch[083] Batch [0249]/[1880] Speed: 176.579601 samples/sec accuracy=55.165625 loss=1.862449 lr=0.007353 Epoch[083] Batch [0299]/[1880] Speed: 199.486856 samples/sec accuracy=55.252604 loss=1.857827 lr=0.007351 Epoch[083] Batch [0349]/[1880] Speed: 177.221301 samples/sec accuracy=55.247768 loss=1.860763 lr=0.007349 Epoch[083] Batch [0399]/[1880] Speed: 187.653055 samples/sec accuracy=55.257812 loss=1.862767 lr=0.007347 Epoch[083] Batch [0449]/[1880] Speed: 183.824460 samples/sec accuracy=55.187500 loss=1.865890 lr=0.007345 Epoch[083] Batch [0499]/[1880] Speed: 198.471100 samples/sec accuracy=55.087500 loss=1.868165 lr=0.007343 Epoch[083] Batch [0549]/[1880] Speed: 169.062145 samples/sec accuracy=55.029830 loss=1.869768 lr=0.007341 Epoch[083] Batch [0599]/[1880] Speed: 191.139363 samples/sec accuracy=54.983073 loss=1.872926 lr=0.007338 Epoch[083] Batch [0649]/[1880] Speed: 191.966163 samples/sec accuracy=55.013221 loss=1.870349 lr=0.007336 Epoch[083] Batch [0699]/[1880] Speed: 175.778149 samples/sec accuracy=54.966518 loss=1.870420 lr=0.007334 Epoch[083] Batch [0749]/[1880] Speed: 198.809444 samples/sec accuracy=54.873958 loss=1.871831 lr=0.007332 Epoch[083] Batch [0799]/[1880] Speed: 171.351304 samples/sec accuracy=54.878906 loss=1.872779 lr=0.007330 Epoch[083] Batch [0849]/[1880] Speed: 194.277819 samples/sec accuracy=54.823529 loss=1.876802 lr=0.007328 Epoch[083] Batch [0899]/[1880] Speed: 187.026307 samples/sec accuracy=54.784722 loss=1.877341 lr=0.007325 Epoch[083] Batch [0949]/[1880] Speed: 179.187898 samples/sec accuracy=54.744243 loss=1.880066 lr=0.007323 Epoch[083] Batch [0999]/[1880] Speed: 192.678600 samples/sec accuracy=54.724219 loss=1.880798 lr=0.007321 Epoch[083] Batch [1049]/[1880] Speed: 204.860635 samples/sec accuracy=54.737351 loss=1.880855 lr=0.007319 Epoch[083] Batch [1099]/[1880] Speed: 170.417747 samples/sec accuracy=54.682528 loss=1.882884 lr=0.007317 Epoch[083] Batch [1149]/[1880] Speed: 191.893164 samples/sec accuracy=54.635870 loss=1.885527 lr=0.007315 Epoch[083] Batch [1199]/[1880] Speed: 184.649332 samples/sec accuracy=54.572917 loss=1.888399 lr=0.007313 Epoch[083] Batch [1249]/[1880] Speed: 185.225380 samples/sec accuracy=54.533125 loss=1.890459 lr=0.007310 Epoch[083] Batch [1299]/[1880] Speed: 196.114701 samples/sec accuracy=54.516827 loss=1.891716 lr=0.007308 Epoch[083] Batch [1349]/[1880] Speed: 175.586221 samples/sec accuracy=54.512153 loss=1.892643 lr=0.007306 Epoch[083] Batch [1399]/[1880] Speed: 195.479524 samples/sec accuracy=54.480469 loss=1.894803 lr=0.007304 Epoch[083] Batch [1449]/[1880] Speed: 181.504770 samples/sec accuracy=54.451509 loss=1.896476 lr=0.007302 Epoch[083] Batch [1499]/[1880] Speed: 184.824667 samples/sec accuracy=54.418229 loss=1.897958 lr=0.007300 Epoch[083] Batch [1549]/[1880] Speed: 193.614939 samples/sec accuracy=54.401714 loss=1.898734 lr=0.007297 Epoch[083] Batch [1599]/[1880] Speed: 172.072573 samples/sec accuracy=54.427734 loss=1.898677 lr=0.007295 Epoch[083] Batch [1649]/[1880] Speed: 199.419208 samples/sec accuracy=54.383996 loss=1.900587 lr=0.007293 Epoch[083] Batch [1699]/[1880] Speed: 175.167375 samples/sec accuracy=54.363051 loss=1.901873 lr=0.007291 Epoch[083] Batch [1749]/[1880] Speed: 183.937140 samples/sec accuracy=54.363839 loss=1.901738 lr=0.007289 Epoch[083] Batch [1799]/[1880] Speed: 199.775685 samples/sec accuracy=54.345486 loss=1.902470 lr=0.007287 Epoch[083] Batch [1849]/[1880] Speed: 189.677602 samples/sec accuracy=54.336993 loss=1.902564 lr=0.007285 Batch [0049]/[0151]: acc-top1=44.609375 acc-top5=69.390625 Batch [0099]/[0151]: acc-top1=48.359375 acc-top5=72.000000 Batch [0149]/[0151]: acc-top1=47.609375 acc-top5=72.031250 [Epoch 083] training: accuracy=54.344249 loss=1.902300 [Epoch 083] speed: 185 samples/sec time cost: 1415.578071 [Epoch 083] validation: acc-top1=47.552773 acc-top5=72.014694 loss=2.314949 Epoch[084] Batch [0049]/[1880] Speed: 129.266654 samples/sec accuracy=55.812500 loss=1.820470 lr=0.007281 Epoch[084] Batch [0099]/[1880] Speed: 206.733282 samples/sec accuracy=55.398438 loss=1.847754 lr=0.007279 Epoch[084] Batch [0149]/[1880] Speed: 190.280814 samples/sec accuracy=55.119792 loss=1.855481 lr=0.007277 Epoch[084] Batch [0199]/[1880] Speed: 174.061473 samples/sec accuracy=54.949219 loss=1.861140 lr=0.007275 Epoch[084] Batch [0249]/[1880] Speed: 191.491422 samples/sec accuracy=55.203125 loss=1.849808 lr=0.007272 Epoch[084] Batch [0299]/[1880] Speed: 189.029305 samples/sec accuracy=55.145833 loss=1.846935 lr=0.007270 Epoch[084] Batch [0349]/[1880] Speed: 169.984856 samples/sec accuracy=54.975446 loss=1.854418 lr=0.007268 Epoch[084] Batch [0399]/[1880] Speed: 202.996866 samples/sec accuracy=54.900391 loss=1.860003 lr=0.007266 Epoch[084] Batch [0449]/[1880] Speed: 173.096886 samples/sec accuracy=54.866319 loss=1.859909 lr=0.007264 Epoch[084] Batch [0499]/[1880] Speed: 190.382467 samples/sec accuracy=54.832813 loss=1.863653 lr=0.007262 Epoch[084] Batch [0549]/[1880] Speed: 199.714012 samples/sec accuracy=54.779830 loss=1.866494 lr=0.007259 Epoch[084] Batch [0599]/[1880] Speed: 168.965897 samples/sec accuracy=54.756510 loss=1.869782 lr=0.007257 Epoch[084] Batch [0649]/[1880] Speed: 195.478374 samples/sec accuracy=54.776442 loss=1.870181 lr=0.007255 Epoch[084] Batch [0699]/[1880] Speed: 197.843929 samples/sec accuracy=54.710938 loss=1.873209 lr=0.007253 Epoch[084] Batch [0749]/[1880] Speed: 169.004628 samples/sec accuracy=54.708333 loss=1.875424 lr=0.007251 Epoch[084] Batch [0799]/[1880] Speed: 198.399688 samples/sec accuracy=54.678711 loss=1.875863 lr=0.007249 Epoch[084] Batch [0849]/[1880] Speed: 184.465303 samples/sec accuracy=54.667279 loss=1.877768 lr=0.007246 Epoch[084] Batch [0899]/[1880] Speed: 185.878204 samples/sec accuracy=54.569444 loss=1.882923 lr=0.007244 Epoch[084] Batch [0949]/[1880] Speed: 192.027767 samples/sec accuracy=54.560033 loss=1.882782 lr=0.007242 Epoch[084] Batch [0999]/[1880] Speed: 178.968480 samples/sec accuracy=54.527344 loss=1.883269 lr=0.007240 Epoch[084] Batch [1049]/[1880] Speed: 192.476729 samples/sec accuracy=54.527530 loss=1.883688 lr=0.007238 Epoch[084] Batch [1099]/[1880] Speed: 181.542867 samples/sec accuracy=54.502131 loss=1.884642 lr=0.007236 Epoch[084] Batch [1149]/[1880] Speed: 197.442569 samples/sec accuracy=54.487092 loss=1.884760 lr=0.007233 Epoch[084] Batch [1199]/[1880] Speed: 176.512201 samples/sec accuracy=54.475911 loss=1.885886 lr=0.007231 Epoch[084] Batch [1249]/[1880] Speed: 179.042478 samples/sec accuracy=54.449375 loss=1.887912 lr=0.007229 Epoch[084] Batch [1299]/[1880] Speed: 208.010392 samples/sec accuracy=54.462139 loss=1.889130 lr=0.007227 Epoch[084] Batch [1349]/[1880] Speed: 169.437546 samples/sec accuracy=54.429977 loss=1.890056 lr=0.007225 Epoch[084] Batch [1399]/[1880] Speed: 206.482610 samples/sec accuracy=54.468750 loss=1.889653 lr=0.007222 Epoch[084] Batch [1449]/[1880] Speed: 165.564200 samples/sec accuracy=54.432651 loss=1.890806 lr=0.007220 Epoch[084] Batch [1499]/[1880] Speed: 204.361843 samples/sec accuracy=54.430729 loss=1.891711 lr=0.007218 Epoch[084] Batch [1549]/[1880] Speed: 173.337046 samples/sec accuracy=54.464214 loss=1.892162 lr=0.007216 Epoch[084] Batch [1599]/[1880] Speed: 199.256596 samples/sec accuracy=54.447754 loss=1.893049 lr=0.007214 Epoch[084] Batch [1649]/[1880] Speed: 181.645969 samples/sec accuracy=54.418087 loss=1.893793 lr=0.007212 Epoch[084] Batch [1699]/[1880] Speed: 181.315636 samples/sec accuracy=54.414063 loss=1.893593 lr=0.007209 Epoch[084] Batch [1749]/[1880] Speed: 201.349842 samples/sec accuracy=54.418750 loss=1.892849 lr=0.007207 Epoch[084] Batch [1799]/[1880] Speed: 173.133450 samples/sec accuracy=54.426649 loss=1.892647 lr=0.007205 Epoch[084] Batch [1849]/[1880] Speed: 195.697848 samples/sec accuracy=54.413429 loss=1.893100 lr=0.007203 Batch [0049]/[0151]: acc-top1=45.093750 acc-top5=69.843750 Batch [0099]/[0151]: acc-top1=48.101562 acc-top5=72.015625 Batch [0149]/[0151]: acc-top1=47.317708 acc-top5=71.927083 [Epoch 084] training: accuracy=54.420296 loss=1.892690 [Epoch 084] speed: 185 samples/sec time cost: 1415.785776 [Epoch 084] validation: acc-top1=47.273386 acc-top5=71.906043 loss=2.340436 Epoch[085] Batch [0049]/[1880] Speed: 136.679751 samples/sec accuracy=54.812500 loss=1.865741 lr=0.007199 Epoch[085] Batch [0099]/[1880] Speed: 191.410388 samples/sec accuracy=55.140625 loss=1.859727 lr=0.007197 Epoch[085] Batch [0149]/[1880] Speed: 177.628823 samples/sec accuracy=54.968750 loss=1.865839 lr=0.007195 Epoch[085] Batch [0199]/[1880] Speed: 203.113288 samples/sec accuracy=54.960937 loss=1.866910 lr=0.007193 Epoch[085] Batch [0249]/[1880] Speed: 173.399243 samples/sec accuracy=55.106250 loss=1.862838 lr=0.007191 Epoch[085] Batch [0299]/[1880] Speed: 187.800622 samples/sec accuracy=55.166667 loss=1.861806 lr=0.007188 Epoch[085] Batch [0349]/[1880] Speed: 192.280202 samples/sec accuracy=55.390625 loss=1.858860 lr=0.007186 Epoch[085] Batch [0399]/[1880] Speed: 177.380476 samples/sec accuracy=55.277344 loss=1.860227 lr=0.007184 Epoch[085] Batch [0449]/[1880] Speed: 189.623765 samples/sec accuracy=55.321181 loss=1.857953 lr=0.007182 Epoch[085] Batch [0499]/[1880] Speed: 175.419497 samples/sec accuracy=55.321875 loss=1.858337 lr=0.007180 Epoch[085] Batch [0549]/[1880] Speed: 192.551677 samples/sec accuracy=55.345170 loss=1.855311 lr=0.007178 Epoch[085] Batch [0599]/[1880] Speed: 188.827547 samples/sec accuracy=55.218750 loss=1.859786 lr=0.007175 Epoch[085] Batch [0649]/[1880] Speed: 186.331788 samples/sec accuracy=55.103365 loss=1.866232 lr=0.007173 Epoch[085] Batch [0699]/[1880] Speed: 189.840943 samples/sec accuracy=55.049107 loss=1.866153 lr=0.007171 Epoch[085] Batch [0749]/[1880] Speed: 184.900197 samples/sec accuracy=55.012500 loss=1.869686 lr=0.007169 Epoch[085] Batch [0799]/[1880] Speed: 186.477481 samples/sec accuracy=55.038086 loss=1.869136 lr=0.007167 Epoch[085] Batch [0849]/[1880] 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accuracy=54.882812 loss=1.875491 lr=0.007145 Epoch[085] Batch [1349]/[1880] Speed: 203.904296 samples/sec accuracy=54.859954 loss=1.876725 lr=0.007142 Epoch[085] Batch [1399]/[1880] Speed: 169.373025 samples/sec accuracy=54.846540 loss=1.877790 lr=0.007140 Epoch[085] Batch [1449]/[1880] Speed: 196.396045 samples/sec accuracy=54.822737 loss=1.878715 lr=0.007138 Epoch[085] Batch [1499]/[1880] Speed: 197.704107 samples/sec accuracy=54.807812 loss=1.878961 lr=0.007136 Epoch[085] Batch [1549]/[1880] Speed: 185.152240 samples/sec accuracy=54.767641 loss=1.879929 lr=0.007134 Epoch[085] Batch [1599]/[1880] Speed: 174.920123 samples/sec accuracy=54.764648 loss=1.880143 lr=0.007131 Epoch[085] Batch [1649]/[1880] Speed: 190.571365 samples/sec accuracy=54.774148 loss=1.879477 lr=0.007129 Epoch[085] Batch [1699]/[1880] Speed: 177.679931 samples/sec accuracy=54.783088 loss=1.879468 lr=0.007127 Epoch[085] Batch [1749]/[1880] Speed: 205.280330 samples/sec accuracy=54.772768 loss=1.879428 lr=0.007125 Epoch[085] Batch [1799]/[1880] Speed: 173.885082 samples/sec accuracy=54.756944 loss=1.880091 lr=0.007123 Epoch[085] Batch [1849]/[1880] Speed: 192.078164 samples/sec accuracy=54.725929 loss=1.881115 lr=0.007120 Batch [0049]/[0151]: acc-top1=44.078125 acc-top5=69.031250 Batch [0099]/[0151]: acc-top1=47.914062 acc-top5=71.234375 Batch [0149]/[0151]: acc-top1=47.062500 acc-top5=71.322917 [Epoch 085] training: accuracy=54.719914 loss=1.881470 [Epoch 085] speed: 185 samples/sec time cost: 1416.114210 [Epoch 085] validation: acc-top1=47.004346 acc-top5=71.300704 loss=2.344302 Epoch[086] Batch [0049]/[1880] Speed: 130.179363 samples/sec accuracy=55.859375 loss=1.817741 lr=0.007117 Epoch[086] Batch [0099]/[1880] Speed: 206.469615 samples/sec accuracy=55.609375 loss=1.830280 lr=0.007115 Epoch[086] Batch [0149]/[1880] Speed: 168.265838 samples/sec accuracy=55.484375 loss=1.841751 lr=0.007113 Epoch[086] Batch [0199]/[1880] Speed: 193.433079 samples/sec accuracy=55.167969 loss=1.848999 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accuracy=55.352582 loss=1.851244 lr=0.007068 Epoch[086] Batch [1199]/[1880] Speed: 191.359796 samples/sec accuracy=55.347005 loss=1.852511 lr=0.007066 Epoch[086] Batch [1249]/[1880] Speed: 171.044841 samples/sec accuracy=55.295000 loss=1.854991 lr=0.007064 Epoch[086] Batch [1299]/[1880] Speed: 199.165735 samples/sec accuracy=55.248798 loss=1.856253 lr=0.007062 Epoch[086] Batch [1349]/[1880] Speed: 173.356272 samples/sec accuracy=55.226273 loss=1.857103 lr=0.007060 Epoch[086] Batch [1399]/[1880] Speed: 203.174694 samples/sec accuracy=55.232701 loss=1.857475 lr=0.007057 Epoch[086] Batch [1449]/[1880] Speed: 175.785098 samples/sec accuracy=55.230065 loss=1.858352 lr=0.007055 Epoch[086] Batch [1499]/[1880] Speed: 193.322607 samples/sec accuracy=55.223438 loss=1.858121 lr=0.007053 Epoch[086] Batch [1549]/[1880] Speed: 179.305780 samples/sec accuracy=55.200605 loss=1.858766 lr=0.007051 Epoch[086] Batch [1599]/[1880] Speed: 190.735175 samples/sec accuracy=55.198242 loss=1.859144 lr=0.007048 Epoch[086] Batch [1649]/[1880] Speed: 197.237995 samples/sec accuracy=55.218277 loss=1.860174 lr=0.007046 Epoch[086] Batch [1699]/[1880] Speed: 171.414294 samples/sec accuracy=55.185202 loss=1.861586 lr=0.007044 Epoch[086] Batch [1749]/[1880] Speed: 197.271194 samples/sec accuracy=55.147768 loss=1.863449 lr=0.007042 Epoch[086] Batch [1799]/[1880] Speed: 180.981041 samples/sec accuracy=55.120226 loss=1.863914 lr=0.007040 Epoch[086] Batch [1849]/[1880] Speed: 189.155448 samples/sec accuracy=55.124578 loss=1.864845 lr=0.007037 Batch [0049]/[0151]: acc-top1=44.375000 acc-top5=69.718750 Batch [0099]/[0151]: acc-top1=47.921875 acc-top5=72.140625 Batch [0149]/[0151]: acc-top1=47.328125 acc-top5=71.901042 [Epoch 086] training: accuracy=55.116772 loss=1.866171 [Epoch 086] speed: 184 samples/sec time cost: 1416.863543 [Epoch 086] validation: acc-top1=47.252690 acc-top5=71.859478 loss=2.312091 Epoch[087] Batch [0049]/[1879] Speed: 134.458743 samples/sec accuracy=55.531250 loss=1.826990 lr=0.007034 Epoch[087] Batch [0099]/[1879] Speed: 189.544151 samples/sec accuracy=55.906250 loss=1.827500 lr=0.007032 Epoch[087] Batch [0149]/[1879] Speed: 189.845873 samples/sec accuracy=55.947917 loss=1.838967 lr=0.007029 Epoch[087] Batch [0199]/[1879] Speed: 180.492756 samples/sec accuracy=55.742187 loss=1.842848 lr=0.007027 Epoch[087] Batch [0249]/[1879] Speed: 185.042682 samples/sec accuracy=55.628125 loss=1.846306 lr=0.007025 Epoch[087] Batch [0299]/[1879] Speed: 180.434549 samples/sec accuracy=55.682292 loss=1.846890 lr=0.007023 Epoch[087] Batch [0349]/[1879] Speed: 197.561720 samples/sec accuracy=55.660714 loss=1.845581 lr=0.007020 Epoch[087] Batch [0399]/[1879] Speed: 183.969696 samples/sec accuracy=55.697266 loss=1.842309 lr=0.007018 Epoch[087] Batch [0449]/[1879] Speed: 181.535922 samples/sec accuracy=55.656250 loss=1.841535 lr=0.007016 Epoch[087] Batch [0499]/[1879] Speed: 187.663943 samples/sec accuracy=55.653125 loss=1.841183 lr=0.007014 Epoch[087] Batch [0549]/[1879] Speed: 185.708448 samples/sec accuracy=55.634943 loss=1.843739 lr=0.007012 Epoch[087] Batch [0599]/[1879] Speed: 193.209939 samples/sec accuracy=55.658854 loss=1.842741 lr=0.007009 Epoch[087] Batch [0649]/[1879] Speed: 172.001226 samples/sec accuracy=55.635817 loss=1.843324 lr=0.007007 Epoch[087] Batch [0699]/[1879] Speed: 186.557107 samples/sec accuracy=55.590402 loss=1.844648 lr=0.007005 Epoch[087] Batch [0749]/[1879] Speed: 203.094156 samples/sec accuracy=55.546875 loss=1.847249 lr=0.007003 Epoch[087] Batch [0799]/[1879] Speed: 180.398538 samples/sec accuracy=55.519531 loss=1.848901 lr=0.007000 Epoch[087] Batch [0849]/[1879] Speed: 180.749839 samples/sec accuracy=55.535846 loss=1.850038 lr=0.006998 Epoch[087] Batch [0899]/[1879] Speed: 179.639527 samples/sec accuracy=55.478299 loss=1.850502 lr=0.006996 Epoch[087] Batch [0949]/[1879] Speed: 189.052254 samples/sec accuracy=55.495066 loss=1.849202 lr=0.006994 Epoch[087] Batch [0999]/[1879] Speed: 192.243086 samples/sec accuracy=55.525000 loss=1.848884 lr=0.006992 Epoch[087] Batch [1049]/[1879] Speed: 176.278346 samples/sec accuracy=55.466518 loss=1.851028 lr=0.006989 Epoch[087] Batch [1099]/[1879] Speed: 179.861854 samples/sec accuracy=55.437500 loss=1.850866 lr=0.006987 Epoch[087] Batch [1149]/[1879] Speed: 202.456595 samples/sec accuracy=55.362772 loss=1.853960 lr=0.006985 Epoch[087] Batch [1199]/[1879] Speed: 181.293213 samples/sec accuracy=55.384766 loss=1.853340 lr=0.006983 Epoch[087] Batch [1249]/[1879] Speed: 189.399561 samples/sec accuracy=55.395000 loss=1.853777 lr=0.006980 Epoch[087] Batch [1299]/[1879] Speed: 181.629016 samples/sec accuracy=55.370192 loss=1.855102 lr=0.006978 Epoch[087] Batch [1349]/[1879] Speed: 185.099111 samples/sec accuracy=55.311921 loss=1.856607 lr=0.006976 Epoch[087] Batch [1399]/[1879] Speed: 188.354163 samples/sec accuracy=55.318638 loss=1.857163 lr=0.006974 Epoch[087] Batch [1449]/[1879] Speed: 184.987512 samples/sec accuracy=55.287716 loss=1.857579 lr=0.006971 Epoch[087] Batch [1499]/[1879] Speed: 194.344529 samples/sec accuracy=55.241146 loss=1.859016 lr=0.006969 Epoch[087] Batch [1549]/[1879] Speed: 175.089524 samples/sec accuracy=55.222782 loss=1.859071 lr=0.006967 Epoch[087] Batch [1599]/[1879] Speed: 195.513038 samples/sec accuracy=55.187988 loss=1.860327 lr=0.006965 Epoch[087] Batch [1649]/[1879] Speed: 189.265089 samples/sec accuracy=55.210227 loss=1.859872 lr=0.006963 Epoch[087] Batch [1699]/[1879] Speed: 164.689874 samples/sec accuracy=55.198529 loss=1.859783 lr=0.006960 Epoch[087] Batch [1749]/[1879] Speed: 202.419015 samples/sec accuracy=55.184821 loss=1.859867 lr=0.006958 Epoch[087] Batch [1799]/[1879] Speed: 183.538054 samples/sec accuracy=55.138889 loss=1.861766 lr=0.006956 Epoch[087] Batch [1849]/[1879] Speed: 183.235695 samples/sec accuracy=55.140203 loss=1.862039 lr=0.006954 Batch [0049]/[0151]: acc-top1=44.656250 acc-top5=69.468750 Batch [0099]/[0151]: acc-top1=48.492188 acc-top5=72.000000 Batch [0149]/[0151]: acc-top1=47.609375 acc-top5=72.088542 [Epoch 087] training: accuracy=55.126148 loss=1.862198 [Epoch 087] speed: 184 samples/sec time cost: 1418.770062 [Epoch 087] validation: acc-top1=47.552773 acc-top5=72.014694 loss=2.307701 Epoch[088] Batch [0049]/[1880] Speed: 134.198845 samples/sec accuracy=56.765625 loss=1.815103 lr=0.006950 Epoch[088] Batch [0099]/[1880] Speed: 197.282477 samples/sec accuracy=56.828125 loss=1.814073 lr=0.006948 Epoch[088] Batch [0149]/[1880] Speed: 173.143481 samples/sec accuracy=56.567708 loss=1.814510 lr=0.006946 Epoch[088] Batch [0199]/[1880] Speed: 193.178050 samples/sec accuracy=56.582031 loss=1.809885 lr=0.006943 Epoch[088] Batch [0249]/[1880] Speed: 180.567361 samples/sec accuracy=56.356250 loss=1.813947 lr=0.006941 Epoch[088] Batch [0299]/[1880] Speed: 194.678939 samples/sec accuracy=56.161458 loss=1.820508 lr=0.006939 Epoch[088] Batch [0349]/[1880] Speed: 188.759084 samples/sec accuracy=56.093750 loss=1.822466 lr=0.006937 Epoch[088] Batch [0399]/[1880] Speed: 168.418920 samples/sec accuracy=56.050781 loss=1.822381 lr=0.006934 Epoch[088] Batch [0449]/[1880] Speed: 197.749415 samples/sec accuracy=56.097222 loss=1.821562 lr=0.006932 Epoch[088] Batch [0499]/[1880] Speed: 195.450150 samples/sec accuracy=56.034375 loss=1.822733 lr=0.006930 Epoch[088] Batch [0549]/[1880] Speed: 178.835077 samples/sec accuracy=56.024148 loss=1.823406 lr=0.006928 Epoch[088] Batch [0599]/[1880] Speed: 177.195440 samples/sec accuracy=56.014323 loss=1.823924 lr=0.006925 Epoch[088] Batch [0649]/[1880] Speed: 195.688559 samples/sec accuracy=55.986779 loss=1.823872 lr=0.006923 Epoch[088] Batch [0699]/[1880] Speed: 193.010454 samples/sec accuracy=55.959821 loss=1.827111 lr=0.006921 Epoch[088] Batch [0749]/[1880] Speed: 172.243785 samples/sec accuracy=55.963542 loss=1.826450 lr=0.006919 Epoch[088] Batch [0799]/[1880] Speed: 200.021888 samples/sec accuracy=55.912109 loss=1.829152 lr=0.006916 Epoch[088] Batch [0849]/[1880] Speed: 184.313970 samples/sec accuracy=55.840074 loss=1.831814 lr=0.006914 Epoch[088] Batch [0899]/[1880] Speed: 172.451066 samples/sec accuracy=55.846354 loss=1.831275 lr=0.006912 Epoch[088] Batch [0949]/[1880] Speed: 203.412064 samples/sec accuracy=55.773849 loss=1.833969 lr=0.006910 Epoch[088] Batch [0999]/[1880] Speed: 169.415437 samples/sec accuracy=55.807812 loss=1.832732 lr=0.006907 Epoch[088] Batch [1049]/[1880] Speed: 188.489241 samples/sec accuracy=55.808780 loss=1.833438 lr=0.006905 Epoch[088] Batch [1099]/[1880] Speed: 198.956420 samples/sec accuracy=55.789062 loss=1.833466 lr=0.006903 Epoch[088] Batch [1149]/[1880] Speed: 183.234898 samples/sec accuracy=55.780571 loss=1.834141 lr=0.006901 Epoch[088] Batch [1199]/[1880] Speed: 176.630618 samples/sec accuracy=55.755859 loss=1.835660 lr=0.006898 Epoch[088] Batch [1249]/[1880] Speed: 193.272567 samples/sec accuracy=55.786250 loss=1.835249 lr=0.006896 Epoch[088] Batch [1299]/[1880] Speed: 175.992246 samples/sec accuracy=55.811298 loss=1.835122 lr=0.006894 Epoch[088] Batch [1349]/[1880] Speed: 193.604109 samples/sec accuracy=55.773727 loss=1.837197 lr=0.006892 Epoch[088] Batch [1399]/[1880] Speed: 181.374741 samples/sec accuracy=55.766183 loss=1.836415 lr=0.006889 Epoch[088] Batch [1449]/[1880] Speed: 190.799874 samples/sec accuracy=55.740841 loss=1.837600 lr=0.006887 Epoch[088] Batch [1499]/[1880] Speed: 185.227283 samples/sec accuracy=55.734896 loss=1.837562 lr=0.006885 Epoch[088] Batch [1549]/[1880] Speed: 189.155400 samples/sec accuracy=55.720262 loss=1.838131 lr=0.006883 Epoch[088] Batch [1599]/[1880] Speed: 189.681423 samples/sec accuracy=55.718750 loss=1.838031 lr=0.006880 Epoch[088] Batch [1649]/[1880] Speed: 177.017876 samples/sec accuracy=55.688447 loss=1.839481 lr=0.006878 Epoch[088] Batch [1699]/[1880] Speed: 197.471703 samples/sec accuracy=55.677849 loss=1.840045 lr=0.006876 Epoch[088] Batch [1749]/[1880] Speed: 189.314497 samples/sec accuracy=55.654464 loss=1.841114 lr=0.006874 Epoch[088] Batch [1799]/[1880] Speed: 171.064607 samples/sec accuracy=55.655382 loss=1.841428 lr=0.006871 Epoch[088] Batch [1849]/[1880] Speed: 197.583674 samples/sec accuracy=55.593328 loss=1.844248 lr=0.006869 Batch [0049]/[0151]: acc-top1=44.078125 acc-top5=69.859375 Batch [0099]/[0151]: acc-top1=48.140625 acc-top5=72.234375 Batch [0149]/[0151]: acc-top1=47.755208 acc-top5=72.015625 [Epoch 088] training: accuracy=55.564328 loss=1.845508 [Epoch 088] speed: 184 samples/sec time cost: 1418.368150 [Epoch 088] validation: acc-top1=47.676945 acc-top5=71.962955 loss=2.325270 Epoch[089] Batch [0049]/[1880] Speed: 135.949330 samples/sec accuracy=56.890625 loss=1.783227 lr=0.006866 Epoch[089] Batch [0099]/[1880] Speed: 186.370691 samples/sec accuracy=56.929688 loss=1.776025 lr=0.006863 Epoch[089] Batch [0149]/[1880] Speed: 195.919079 samples/sec accuracy=57.156250 loss=1.768277 lr=0.006861 Epoch[089] Batch [0199]/[1880] Speed: 176.926181 samples/sec accuracy=56.863281 loss=1.782122 lr=0.006859 Epoch[089] Batch [0249]/[1880] 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accuracy=56.290179 loss=1.802181 lr=0.006836 Epoch[089] Batch [0749]/[1880] Speed: 181.010822 samples/sec accuracy=56.193750 loss=1.806699 lr=0.006834 Epoch[089] Batch [0799]/[1880] Speed: 183.172880 samples/sec accuracy=56.132812 loss=1.808392 lr=0.006832 Epoch[089] Batch [0849]/[1880] Speed: 190.585092 samples/sec accuracy=56.134191 loss=1.809024 lr=0.006829 Epoch[089] Batch [0899]/[1880] Speed: 183.239574 samples/sec accuracy=56.112847 loss=1.810543 lr=0.006827 Epoch[089] Batch [0949]/[1880] Speed: 182.795168 samples/sec accuracy=56.093750 loss=1.812265 lr=0.006825 Epoch[089] Batch [0999]/[1880] Speed: 199.502293 samples/sec accuracy=56.074219 loss=1.814996 lr=0.006823 Epoch[089] Batch [1049]/[1880] Speed: 174.286404 samples/sec accuracy=55.991815 loss=1.819969 lr=0.006820 Epoch[089] Batch [1099]/[1880] Speed: 191.397383 samples/sec accuracy=55.985085 loss=1.821195 lr=0.006818 Epoch[089] Batch [1149]/[1880] Speed: 187.054900 samples/sec accuracy=55.999321 loss=1.820890 lr=0.006816 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179.043008 samples/sec accuracy=55.852746 loss=1.829105 lr=0.006793 Epoch[089] Batch [1699]/[1880] Speed: 189.818837 samples/sec accuracy=55.837316 loss=1.828581 lr=0.006791 Epoch[089] Batch [1749]/[1880] Speed: 176.915371 samples/sec accuracy=55.843750 loss=1.828936 lr=0.006789 Epoch[089] Batch [1799]/[1880] Speed: 183.628605 samples/sec accuracy=55.822483 loss=1.830078 lr=0.006786 Epoch[089] Batch [1849]/[1880] Speed: 201.712477 samples/sec accuracy=55.815456 loss=1.830494 lr=0.006784 Batch [0049]/[0151]: acc-top1=43.296875 acc-top5=69.046875 Batch [0099]/[0151]: acc-top1=47.734375 acc-top5=71.726562 Batch [0149]/[0151]: acc-top1=47.072917 acc-top5=71.567708 [Epoch 089] training: accuracy=55.781666 loss=1.831641 [Epoch 089] speed: 184 samples/sec time cost: 1417.501912 [Epoch 089] validation: acc-top1=47.019868 acc-top5=71.554222 loss=2.341962 Epoch[090] Batch [0049]/[1880] Speed: 139.202589 samples/sec accuracy=56.046875 loss=1.817597 lr=0.006781 Epoch[090] Batch [0099]/[1880] Speed: 177.048905 samples/sec accuracy=56.117188 loss=1.828889 lr=0.006778 Epoch[090] Batch [0149]/[1880] Speed: 202.611942 samples/sec accuracy=56.088542 loss=1.824732 lr=0.006776 Epoch[090] Batch [0199]/[1880] Speed: 166.443256 samples/sec accuracy=55.875000 loss=1.832951 lr=0.006774 Epoch[090] Batch [0249]/[1880] Speed: 206.503231 samples/sec accuracy=56.168750 loss=1.816663 lr=0.006771 Epoch[090] Batch [0299]/[1880] Speed: 173.111032 samples/sec accuracy=56.367188 loss=1.809167 lr=0.006769 Epoch[090] Batch [0349]/[1880] Speed: 198.707281 samples/sec accuracy=56.321429 loss=1.813183 lr=0.006767 Epoch[090] Batch [0399]/[1880] Speed: 192.361614 samples/sec accuracy=56.328125 loss=1.811223 lr=0.006765 Epoch[090] Batch [0449]/[1880] Speed: 163.096915 samples/sec accuracy=56.248264 loss=1.813058 lr=0.006762 Epoch[090] Batch [0499]/[1880] Speed: 202.494250 samples/sec accuracy=56.231250 loss=1.813852 lr=0.006760 Epoch[090] Batch [0549]/[1880] Speed: 182.594882 samples/sec accuracy=56.221591 loss=1.815448 lr=0.006758 Epoch[090] Batch [0599]/[1880] Speed: 174.799989 samples/sec accuracy=56.255208 loss=1.815947 lr=0.006756 Epoch[090] Batch [0649]/[1880] Speed: 205.047917 samples/sec accuracy=56.245192 loss=1.814578 lr=0.006753 Epoch[090] Batch [0699]/[1880] Speed: 173.233906 samples/sec accuracy=56.277902 loss=1.815098 lr=0.006751 Epoch[090] Batch [0749]/[1880] Speed: 202.518473 samples/sec accuracy=56.328125 loss=1.811778 lr=0.006749 Epoch[090] Batch [0799]/[1880] Speed: 178.030581 samples/sec accuracy=56.260742 loss=1.813928 lr=0.006746 Epoch[090] Batch [0849]/[1880] Speed: 194.909092 samples/sec accuracy=56.271140 loss=1.814868 lr=0.006744 Epoch[090] Batch [0899]/[1880] Speed: 170.273983 samples/sec accuracy=56.302951 loss=1.815043 lr=0.006742 Epoch[090] Batch [0949]/[1880] Speed: 196.912601 samples/sec accuracy=56.233553 loss=1.818489 lr=0.006740 Epoch[090] Batch [0999]/[1880] Speed: 190.306327 samples/sec accuracy=56.265625 loss=1.816022 lr=0.006737 Epoch[090] Batch [1049]/[1880] Speed: 166.419220 samples/sec accuracy=56.276042 loss=1.816516 lr=0.006735 Epoch[090] Batch [1099]/[1880] Speed: 206.150389 samples/sec accuracy=56.310369 loss=1.815770 lr=0.006733 Epoch[090] Batch [1149]/[1880] Speed: 170.870816 samples/sec accuracy=56.326766 loss=1.815269 lr=0.006730 Epoch[090] Batch [1199]/[1880] Speed: 201.479260 samples/sec accuracy=56.276693 loss=1.817559 lr=0.006728 Epoch[090] Batch [1249]/[1880] Speed: 174.305969 samples/sec accuracy=56.254375 loss=1.818819 lr=0.006726 Epoch[090] Batch [1299]/[1880] Speed: 196.604385 samples/sec accuracy=56.233774 loss=1.820221 lr=0.006724 Epoch[090] Batch [1349]/[1880] Speed: 196.844013 samples/sec accuracy=56.245949 loss=1.820411 lr=0.006721 Epoch[090] Batch [1399]/[1880] Speed: 165.220398 samples/sec accuracy=56.251674 loss=1.820351 lr=0.006719 Epoch[090] Batch [1449]/[1880] Speed: 201.555708 samples/sec accuracy=56.237069 loss=1.819597 lr=0.006717 Epoch[090] Batch [1499]/[1880] Speed: 180.283774 samples/sec accuracy=56.244792 loss=1.819914 lr=0.006714 Epoch[090] Batch [1549]/[1880] Speed: 186.095266 samples/sec accuracy=56.226815 loss=1.820639 lr=0.006712 Epoch[090] Batch [1599]/[1880] Speed: 201.547780 samples/sec accuracy=56.201660 loss=1.821873 lr=0.006710 Epoch[090] Batch [1649]/[1880] Speed: 169.185849 samples/sec accuracy=56.169034 loss=1.823266 lr=0.006708 Epoch[090] Batch [1699]/[1880] Speed: 200.916802 samples/sec accuracy=56.161765 loss=1.823853 lr=0.006705 Epoch[090] Batch [1749]/[1880] Speed: 174.084985 samples/sec accuracy=56.140179 loss=1.824756 lr=0.006703 Epoch[090] Batch [1799]/[1880] Speed: 193.078406 samples/sec accuracy=56.134983 loss=1.825556 lr=0.006701 Epoch[090] Batch [1849]/[1880] Speed: 183.063740 samples/sec accuracy=56.130490 loss=1.826530 lr=0.006698 Batch [0049]/[0151]: acc-top1=44.859375 acc-top5=69.890625 Batch [0099]/[0151]: acc-top1=48.781250 acc-top5=72.468750 Batch [0149]/[0151]: acc-top1=47.968750 acc-top5=72.322917 [Epoch 090] training: accuracy=56.119099 loss=1.827003 [Epoch 090] speed: 184 samples/sec time cost: 1417.456849 [Epoch 090] validation: acc-top1=47.899421 acc-top5=72.283733 loss=2.300315 Epoch[091] Batch [0049]/[1880] Speed: 137.485621 samples/sec accuracy=57.406250 loss=1.743511 lr=0.006695 Epoch[091] Batch [0099]/[1880] Speed: 184.129534 samples/sec accuracy=57.226562 loss=1.763515 lr=0.006693 Epoch[091] Batch [0149]/[1880] Speed: 193.441464 samples/sec accuracy=56.859375 loss=1.772200 lr=0.006690 Epoch[091] Batch [0199]/[1880] Speed: 169.892940 samples/sec accuracy=56.710938 loss=1.775614 lr=0.006688 Epoch[091] Batch [0249]/[1880] Speed: 201.858515 samples/sec accuracy=56.753125 loss=1.776608 lr=0.006686 Epoch[091] Batch [0299]/[1880] Speed: 171.618155 samples/sec accuracy=56.742188 loss=1.774339 lr=0.006683 Epoch[091] Batch [0349]/[1880] Speed: 195.726026 samples/sec accuracy=56.720982 loss=1.774067 lr=0.006681 Epoch[091] Batch [0399]/[1880] Speed: 179.984666 samples/sec accuracy=56.695312 loss=1.775735 lr=0.006679 Epoch[091] Batch [0449]/[1880] Speed: 193.073954 samples/sec accuracy=56.659722 loss=1.778320 lr=0.006677 Epoch[091] Batch [0499]/[1880] Speed: 171.858847 samples/sec accuracy=56.735937 loss=1.776723 lr=0.006674 Epoch[091] Batch [0549]/[1880] Speed: 208.686196 samples/sec accuracy=56.754261 loss=1.775956 lr=0.006672 Epoch[091] Batch [0599]/[1880] Speed: 174.978459 samples/sec accuracy=56.733073 loss=1.778882 lr=0.006670 Epoch[091] Batch [0649]/[1880] Speed: 189.812040 samples/sec accuracy=56.718750 loss=1.780681 lr=0.006667 Epoch[091] Batch [0699]/[1880] Speed: 193.647134 samples/sec accuracy=56.744420 loss=1.782854 lr=0.006665 Epoch[091] Batch [0749]/[1880] Speed: 173.091940 samples/sec accuracy=56.716667 loss=1.785156 lr=0.006663 Epoch[091] Batch [0799]/[1880] Speed: 205.052171 samples/sec accuracy=56.727539 loss=1.785818 lr=0.006660 Epoch[091] Batch [0849]/[1880] Speed: 183.981218 samples/sec accuracy=56.716912 loss=1.785450 lr=0.006658 Epoch[091] Batch [0899]/[1880] Speed: 171.219298 samples/sec accuracy=56.631944 loss=1.789210 lr=0.006656 Epoch[091] Batch [0949]/[1880] Speed: 204.908063 samples/sec accuracy=56.584704 loss=1.792449 lr=0.006654 Epoch[091] Batch [0999]/[1880] Speed: 174.400845 samples/sec accuracy=56.543750 loss=1.794179 lr=0.006651 Epoch[091] Batch [1049]/[1880] Speed: 189.934871 samples/sec accuracy=56.515625 loss=1.796093 lr=0.006649 Epoch[091] Batch [1099]/[1880] Speed: 181.131415 samples/sec accuracy=56.524858 loss=1.796644 lr=0.006647 Epoch[091] Batch [1149]/[1880] Speed: 181.749528 samples/sec accuracy=56.518342 loss=1.796961 lr=0.006644 Epoch[091] Batch [1199]/[1880] Speed: 204.956854 samples/sec accuracy=56.463542 loss=1.798785 lr=0.006642 Epoch[091] Batch [1249]/[1880] Speed: 166.904406 samples/sec accuracy=56.461875 loss=1.799314 lr=0.006640 Epoch[091] Batch [1299]/[1880] Speed: 205.521251 samples/sec accuracy=56.480769 loss=1.799713 lr=0.006638 Epoch[091] Batch [1349]/[1880] Speed: 179.964860 samples/sec accuracy=56.418981 loss=1.801219 lr=0.006635 Epoch[091] Batch [1399]/[1880] Speed: 176.152238 samples/sec accuracy=56.392299 loss=1.802951 lr=0.006633 Epoch[091] Batch [1449]/[1880] Speed: 198.015017 samples/sec accuracy=56.350216 loss=1.803910 lr=0.006631 Epoch[091] Batch [1499]/[1880] Speed: 176.628597 samples/sec accuracy=56.348438 loss=1.804465 lr=0.006628 Epoch[091] Batch [1549]/[1880] Speed: 188.925299 samples/sec accuracy=56.309980 loss=1.806196 lr=0.006626 Epoch[091] Batch [1599]/[1880] Speed: 198.919824 samples/sec accuracy=56.298340 loss=1.806874 lr=0.006624 Epoch[091] Batch [1649]/[1880] Speed: 172.496750 samples/sec accuracy=56.241004 loss=1.808880 lr=0.006621 Epoch[091] Batch [1699]/[1880] Speed: 196.400882 samples/sec accuracy=56.251379 loss=1.809011 lr=0.006619 Epoch[091] Batch [1749]/[1880] Speed: 178.587060 samples/sec accuracy=56.250893 loss=1.810319 lr=0.006617 Epoch[091] Batch [1799]/[1880] Speed: 198.425332 samples/sec accuracy=56.230035 loss=1.811114 lr=0.006615 Epoch[091] Batch [1849]/[1880] Speed: 181.088035 samples/sec accuracy=56.198057 loss=1.813154 lr=0.006612 Batch [0049]/[0151]: acc-top1=45.093750 acc-top5=70.093750 Batch [0099]/[0151]: acc-top1=48.429688 acc-top5=72.289062 Batch [0149]/[0151]: acc-top1=47.833333 acc-top5=72.276042 [Epoch 091] training: accuracy=56.201795 loss=1.813007 [Epoch 091] speed: 184 samples/sec time cost: 1417.453215 [Epoch 091] validation: acc-top1=47.770075 acc-top5=72.242343 loss=2.302172 Epoch[092] Batch [0049]/[1880] Speed: 133.507112 samples/sec accuracy=57.281250 loss=1.726028 lr=0.006609 Epoch[092] Batch [0099]/[1880] Speed: 189.048514 samples/sec accuracy=56.773438 loss=1.768249 lr=0.006606 Epoch[092] Batch [0149]/[1880] Speed: 186.361003 samples/sec accuracy=56.718750 loss=1.776333 lr=0.006604 Epoch[092] Batch [0199]/[1880] Speed: 184.303595 samples/sec accuracy=56.843750 loss=1.777672 lr=0.006602 Epoch[092] Batch [0249]/[1880] Speed: 178.060162 samples/sec accuracy=57.059375 loss=1.772266 lr=0.006599 Epoch[092] Batch [0299]/[1880] Speed: 201.948078 samples/sec accuracy=57.018229 loss=1.775685 lr=0.006597 Epoch[092] Batch [0349]/[1880] Speed: 171.538500 samples/sec accuracy=56.830357 loss=1.779842 lr=0.006595 Epoch[092] Batch [0399]/[1880] Speed: 195.310292 samples/sec accuracy=56.683594 loss=1.783201 lr=0.006592 Epoch[092] Batch [0449]/[1880] Speed: 187.885382 samples/sec accuracy=56.817708 loss=1.780363 lr=0.006590 Epoch[092] Batch [0499]/[1880] Speed: 187.408699 samples/sec accuracy=56.925000 loss=1.778289 lr=0.006588 Epoch[092] Batch [0549]/[1880] Speed: 192.565939 samples/sec accuracy=56.909091 loss=1.781871 lr=0.006586 Epoch[092] Batch [0599]/[1880] Speed: 170.456818 samples/sec accuracy=56.869792 loss=1.784728 lr=0.006583 Epoch[092] Batch [0649]/[1880] Speed: 194.293979 samples/sec accuracy=56.858173 loss=1.784817 lr=0.006581 Epoch[092] Batch [0699]/[1880] Speed: 193.444669 samples/sec accuracy=56.911830 loss=1.783089 lr=0.006579 Epoch[092] Batch [0749]/[1880] Speed: 165.828011 samples/sec accuracy=56.843750 loss=1.785995 lr=0.006576 Epoch[092] Batch [0799]/[1880] Speed: 206.019864 samples/sec accuracy=56.824219 loss=1.787346 lr=0.006574 Epoch[092] Batch [0849]/[1880] Speed: 182.688726 samples/sec accuracy=56.820772 loss=1.788922 lr=0.006572 Epoch[092] Batch [0899]/[1880] Speed: 176.086591 samples/sec accuracy=56.835069 loss=1.788969 lr=0.006569 Epoch[092] Batch [0949]/[1880] Speed: 201.299535 samples/sec accuracy=56.782072 loss=1.790558 lr=0.006567 Epoch[092] Batch [0999]/[1880] Speed: 170.987613 samples/sec accuracy=56.735156 loss=1.790200 lr=0.006565 Epoch[092] Batch [1049]/[1880] Speed: 199.870820 samples/sec accuracy=56.726190 loss=1.792293 lr=0.006562 Epoch[092] Batch [1099]/[1880] Speed: 178.820700 samples/sec accuracy=56.701705 loss=1.793363 lr=0.006560 Epoch[092] Batch [1149]/[1880] Speed: 183.282317 samples/sec accuracy=56.675272 loss=1.795017 lr=0.006558 Epoch[092] Batch [1199]/[1880] Speed: 202.389450 samples/sec accuracy=56.692057 loss=1.793794 lr=0.006556 Epoch[092] Batch [1249]/[1880] Speed: 168.212242 samples/sec accuracy=56.630625 loss=1.795925 lr=0.006553 Epoch[092] Batch [1299]/[1880] Speed: 197.802809 samples/sec accuracy=56.635216 loss=1.796745 lr=0.006551 Epoch[092] Batch [1349]/[1880] Speed: 187.693715 samples/sec accuracy=56.585648 loss=1.797619 lr=0.006549 Epoch[092] Batch [1399]/[1880] Speed: 177.423464 samples/sec accuracy=56.603237 loss=1.797012 lr=0.006546 Epoch[092] Batch [1449]/[1880] Speed: 197.095528 samples/sec accuracy=56.572737 loss=1.798303 lr=0.006544 Epoch[092] Batch [1499]/[1880] Speed: 187.481905 samples/sec accuracy=56.578646 loss=1.798862 lr=0.006542 Epoch[092] Batch [1549]/[1880] Speed: 179.954117 samples/sec accuracy=56.594758 loss=1.798062 lr=0.006539 Epoch[092] Batch [1599]/[1880] Speed: 200.189821 samples/sec accuracy=56.594238 loss=1.797914 lr=0.006537 Epoch[092] Batch [1649]/[1880] Speed: 168.658972 samples/sec accuracy=56.576231 loss=1.797750 lr=0.006535 Epoch[092] Batch [1699]/[1880] Speed: 198.504810 samples/sec accuracy=56.549632 loss=1.799317 lr=0.006532 Epoch[092] Batch [1749]/[1880] Speed: 179.448808 samples/sec accuracy=56.509821 loss=1.801862 lr=0.006530 Epoch[092] Batch [1799]/[1880] Speed: 176.755126 samples/sec accuracy=56.500868 loss=1.802283 lr=0.006528 Epoch[092] Batch [1849]/[1880] Speed: 198.451461 samples/sec accuracy=56.478041 loss=1.802077 lr=0.006526 Batch [0049]/[0151]: acc-top1=45.078125 acc-top5=70.656250 Batch [0099]/[0151]: acc-top1=48.523438 acc-top5=72.351562 Batch [0149]/[0151]: acc-top1=47.380208 acc-top5=71.906250 [Epoch 092] training: accuracy=56.455701 loss=1.803377 [Epoch 092] speed: 184 samples/sec time cost: 1418.344070 [Epoch 092] validation: acc-top1=47.309603 acc-top5=71.818088 loss=2.309937 Epoch[093] Batch [0049]/[1879] Speed: 133.016132 samples/sec accuracy=56.656250 loss=1.784550 lr=0.006522 Epoch[093] Batch [0099]/[1879] Speed: 194.302680 samples/sec accuracy=56.984375 loss=1.770291 lr=0.006519 Epoch[093] Batch [0149]/[1879] Speed: 177.056840 samples/sec accuracy=57.484375 loss=1.756682 lr=0.006517 Epoch[093] Batch [0199]/[1879] Speed: 197.147378 samples/sec accuracy=57.480469 loss=1.765860 lr=0.006515 Epoch[093] Batch [0249]/[1879] Speed: 179.287115 samples/sec accuracy=57.568750 loss=1.763534 lr=0.006513 Epoch[093] Batch [0299]/[1879] Speed: 185.558990 samples/sec accuracy=57.343750 loss=1.768017 lr=0.006510 Epoch[093] Batch [0349]/[1879] Speed: 183.340512 samples/sec accuracy=57.325893 loss=1.768443 lr=0.006508 Epoch[093] Batch [0399]/[1879] Speed: 182.433405 samples/sec accuracy=57.361328 loss=1.764458 lr=0.006506 Epoch[093] Batch [0449]/[1879] Speed: 196.893666 samples/sec accuracy=57.265625 loss=1.768517 lr=0.006503 Epoch[093] Batch [0499]/[1879] Speed: 181.678860 samples/sec accuracy=57.257813 loss=1.769964 lr=0.006501 Epoch[093] Batch [0549]/[1879] Speed: 176.291409 samples/sec accuracy=57.257102 loss=1.770392 lr=0.006499 Epoch[093] Batch [0599]/[1879] Speed: 197.329009 samples/sec accuracy=57.238281 loss=1.772199 lr=0.006496 Epoch[093] Batch [0649]/[1879] Speed: 196.335474 samples/sec accuracy=57.277644 loss=1.769084 lr=0.006494 Epoch[093] Batch [0699]/[1879] Speed: 170.084807 samples/sec accuracy=57.200893 loss=1.774403 lr=0.006492 Epoch[093] Batch [0749]/[1879] Speed: 192.490337 samples/sec accuracy=57.239583 loss=1.774157 lr=0.006489 Epoch[093] Batch [0799]/[1879] Speed: 187.722345 samples/sec accuracy=57.155273 loss=1.775669 lr=0.006487 Epoch[093] Batch [0849]/[1879] Speed: 183.244926 samples/sec accuracy=57.113971 loss=1.777449 lr=0.006485 Epoch[093] Batch [0899]/[1879] Speed: 192.592254 samples/sec accuracy=57.131076 loss=1.777801 lr=0.006482 Epoch[093] Batch [0949]/[1879] Speed: 180.185213 samples/sec accuracy=57.097862 loss=1.778889 lr=0.006480 Epoch[093] Batch [0999]/[1879] Speed: 193.146603 samples/sec accuracy=57.090625 loss=1.777564 lr=0.006478 Epoch[093] Batch [1049]/[1879] Speed: 171.126304 samples/sec accuracy=57.074405 loss=1.777449 lr=0.006475 Epoch[093] Batch [1099]/[1879] Speed: 196.558542 samples/sec accuracy=57.073864 loss=1.776409 lr=0.006473 Epoch[093] Batch [1149]/[1879] Speed: 199.460010 samples/sec accuracy=57.055707 loss=1.776431 lr=0.006471 Epoch[093] Batch [1199]/[1879] Speed: 166.505194 samples/sec accuracy=57.033203 loss=1.778964 lr=0.006468 Epoch[093] Batch [1249]/[1879] Speed: 203.594817 samples/sec accuracy=57.021250 loss=1.780446 lr=0.006466 Epoch[093] Batch [1299]/[1879] Speed: 173.709473 samples/sec accuracy=56.987981 loss=1.781189 lr=0.006464 Epoch[093] Batch [1349]/[1879] Speed: 198.505630 samples/sec accuracy=57.005787 loss=1.779640 lr=0.006461 Epoch[093] Batch [1399]/[1879] Speed: 190.202462 samples/sec accuracy=57.001116 loss=1.780426 lr=0.006459 Epoch[093] Batch [1449]/[1879] Speed: 167.550672 samples/sec accuracy=56.969289 loss=1.781285 lr=0.006457 Epoch[093] Batch [1499]/[1879] Speed: 200.567564 samples/sec accuracy=56.929688 loss=1.782271 lr=0.006455 Epoch[093] Batch [1549]/[1879] Speed: 187.513267 samples/sec accuracy=56.925403 loss=1.782589 lr=0.006452 Epoch[093] Batch [1599]/[1879] Speed: 179.411256 samples/sec accuracy=56.920410 loss=1.782333 lr=0.006450 Epoch[093] Batch [1649]/[1879] Speed: 201.458709 samples/sec accuracy=56.918561 loss=1.782125 lr=0.006448 Epoch[093] Batch [1699]/[1879] Speed: 169.312671 samples/sec accuracy=56.928768 loss=1.781839 lr=0.006445 Epoch[093] Batch [1749]/[1879] Speed: 197.280967 samples/sec accuracy=56.902679 loss=1.782900 lr=0.006443 Epoch[093] Batch [1799]/[1879] Speed: 178.211001 samples/sec accuracy=56.886719 loss=1.783854 lr=0.006441 Epoch[093] Batch [1849]/[1879] Speed: 191.625894 samples/sec accuracy=56.894003 loss=1.784474 lr=0.006438 Batch [0049]/[0151]: acc-top1=44.937500 acc-top5=69.843750 Batch [0099]/[0151]: acc-top1=48.710938 acc-top5=72.375000 Batch [0149]/[0151]: acc-top1=47.708333 acc-top5=72.250000 [Epoch 093] training: accuracy=56.879490 loss=1.785461 [Epoch 093] speed: 185 samples/sec time cost: 1415.817031 [Epoch 093] validation: acc-top1=47.630381 acc-top5=72.211300 loss=2.291647 Epoch[094] Batch [0049]/[1880] Speed: 129.357733 samples/sec accuracy=58.281250 loss=1.712726 lr=0.006435 Epoch[094] Batch [0099]/[1880] Speed: 210.391456 samples/sec accuracy=58.203125 loss=1.737835 lr=0.006432 Epoch[094] Batch [0149]/[1880] Speed: 170.781779 samples/sec accuracy=58.020833 loss=1.728363 lr=0.006430 Epoch[094] Batch [0199]/[1880] Speed: 190.864218 samples/sec accuracy=57.972656 loss=1.730618 lr=0.006428 Epoch[094] Batch [0249]/[1880] Speed: 202.104461 samples/sec accuracy=57.868750 loss=1.734652 lr=0.006425 Epoch[094] Batch [0299]/[1880] Speed: 168.300263 samples/sec accuracy=57.684896 loss=1.744973 lr=0.006423 Epoch[094] Batch [0349]/[1880] Speed: 197.022472 samples/sec accuracy=57.533482 loss=1.752538 lr=0.006421 Epoch[094] Batch [0399]/[1880] Speed: 187.359077 samples/sec accuracy=57.400391 loss=1.758204 lr=0.006418 Epoch[094] Batch [0449]/[1880] Speed: 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loss=1.761478 lr=0.006395 Epoch[094] Batch [0949]/[1880] Speed: 196.869755 samples/sec accuracy=57.256579 loss=1.763543 lr=0.006393 Epoch[094] Batch [0999]/[1880] Speed: 188.456259 samples/sec accuracy=57.222656 loss=1.764616 lr=0.006390 Epoch[094] Batch [1049]/[1880] Speed: 178.963449 samples/sec accuracy=57.200893 loss=1.764738 lr=0.006388 Epoch[094] Batch [1099]/[1880] Speed: 201.259286 samples/sec accuracy=57.206676 loss=1.765163 lr=0.006386 Epoch[094] Batch [1149]/[1880] Speed: 169.961433 samples/sec accuracy=57.245924 loss=1.764835 lr=0.006383 Epoch[094] Batch [1199]/[1880] Speed: 198.446672 samples/sec accuracy=57.218750 loss=1.766339 lr=0.006381 Epoch[094] Batch [1249]/[1880] Speed: 171.422181 samples/sec accuracy=57.200625 loss=1.766291 lr=0.006379 Epoch[094] Batch [1299]/[1880] Speed: 196.177581 samples/sec accuracy=57.207332 loss=1.765229 lr=0.006376 Epoch[094] Batch [1349]/[1880] Speed: 182.518147 samples/sec accuracy=57.182870 loss=1.766417 lr=0.006374 Epoch[094] Batch [1399]/[1880] Speed: 186.090830 samples/sec accuracy=57.173549 loss=1.766719 lr=0.006372 Epoch[094] Batch [1449]/[1880] Speed: 184.051965 samples/sec accuracy=57.156789 loss=1.765656 lr=0.006369 Epoch[094] Batch [1499]/[1880] Speed: 197.990066 samples/sec accuracy=57.145313 loss=1.765973 lr=0.006367 Epoch[094] Batch [1549]/[1880] Speed: 176.571053 samples/sec accuracy=57.109375 loss=1.767843 lr=0.006365 Epoch[094] Batch [1599]/[1880] Speed: 185.119048 samples/sec accuracy=57.095703 loss=1.768885 lr=0.006362 Epoch[094] Batch [1649]/[1880] Speed: 186.542540 samples/sec accuracy=57.093750 loss=1.769504 lr=0.006360 Epoch[094] Batch [1699]/[1880] Speed: 184.917192 samples/sec accuracy=57.073070 loss=1.770429 lr=0.006358 Epoch[094] Batch [1749]/[1880] Speed: 193.672013 samples/sec accuracy=57.049554 loss=1.770829 lr=0.006355 Epoch[094] Batch [1799]/[1880] Speed: 180.660907 samples/sec accuracy=57.019097 loss=1.771797 lr=0.006353 Epoch[094] Batch [1849]/[1880] Speed: 199.345231 samples/sec accuracy=57.035473 loss=1.771697 lr=0.006351 Batch [0049]/[0151]: acc-top1=45.171875 acc-top5=70.578125 Batch [0099]/[0151]: acc-top1=48.625000 acc-top5=72.960938 Batch [0149]/[0151]: acc-top1=47.942708 acc-top5=72.651042 [Epoch 094] training: accuracy=57.032497 loss=1.772326 [Epoch 094] speed: 184 samples/sec time cost: 1417.228575 [Epoch 094] validation: acc-top1=47.889073 acc-top5=72.625207 loss=2.294613 Epoch[095] Batch [0049]/[1880] Speed: 132.096391 samples/sec accuracy=58.265625 loss=1.717515 lr=0.006347 Epoch[095] Batch [0099]/[1880] Speed: 197.100229 samples/sec accuracy=58.109375 loss=1.731376 lr=0.006344 Epoch[095] Batch [0149]/[1880] Speed: 180.870244 samples/sec accuracy=58.687500 loss=1.710019 lr=0.006342 Epoch[095] Batch [0199]/[1880] Speed: 184.563137 samples/sec accuracy=58.503906 loss=1.710978 lr=0.006340 Epoch[095] Batch [0249]/[1880] Speed: 192.903224 samples/sec accuracy=58.481250 loss=1.716938 lr=0.006337 Epoch[095] Batch [0299]/[1880] Speed: 176.867456 samples/sec accuracy=58.458333 loss=1.716775 lr=0.006335 Epoch[095] Batch [0349]/[1880] Speed: 186.284278 samples/sec accuracy=58.426339 loss=1.719254 lr=0.006333 Epoch[095] Batch [0399]/[1880] Speed: 198.551156 samples/sec accuracy=58.224609 loss=1.725812 lr=0.006330 Epoch[095] Batch [0449]/[1880] Speed: 176.714224 samples/sec accuracy=58.201389 loss=1.724925 lr=0.006328 Epoch[095] Batch [0499]/[1880] Speed: 186.991898 samples/sec accuracy=58.023438 loss=1.730279 lr=0.006326 Epoch[095] Batch [0549]/[1880] Speed: 175.051769 samples/sec accuracy=57.944602 loss=1.732633 lr=0.006323 Epoch[095] Batch [0599]/[1880] Speed: 198.938414 samples/sec accuracy=57.962240 loss=1.732234 lr=0.006321 Epoch[095] Batch [0649]/[1880] Speed: 186.327605 samples/sec accuracy=57.926683 loss=1.736269 lr=0.006319 Epoch[095] Batch [0699]/[1880] Speed: 176.755245 samples/sec accuracy=57.858259 loss=1.738024 lr=0.006316 Epoch[095] Batch [0749]/[1880] Speed: 210.559427 samples/sec accuracy=57.770833 loss=1.741283 lr=0.006314 Epoch[095] Batch [0799]/[1880] Speed: 172.625490 samples/sec accuracy=57.786133 loss=1.741893 lr=0.006312 Epoch[095] Batch [0849]/[1880] Speed: 196.420891 samples/sec accuracy=57.788603 loss=1.742293 lr=0.006309 Epoch[095] Batch [0899]/[1880] Speed: 176.808931 samples/sec accuracy=57.741319 loss=1.745879 lr=0.006307 Epoch[095] Batch [0949]/[1880] Speed: 181.258525 samples/sec accuracy=57.800164 loss=1.744530 lr=0.006305 Epoch[095] Batch [0999]/[1880] Speed: 199.565037 samples/sec accuracy=57.824219 loss=1.742955 lr=0.006302 Epoch[095] Batch [1049]/[1880] Speed: 171.140029 samples/sec accuracy=57.760417 loss=1.745863 lr=0.006300 Epoch[095] Batch [1099]/[1880] Speed: 193.595977 samples/sec accuracy=57.747869 loss=1.747061 lr=0.006298 Epoch[095] Batch [1149]/[1880] Speed: 194.725170 samples/sec accuracy=57.752717 loss=1.746135 lr=0.006295 Epoch[095] Batch [1199]/[1880] Speed: 173.622991 samples/sec accuracy=57.709635 loss=1.747828 lr=0.006293 Epoch[095] Batch [1249]/[1880] Speed: 183.429376 samples/sec accuracy=57.701875 loss=1.747982 lr=0.006291 Epoch[095] Batch [1299]/[1880] Speed: 199.600523 samples/sec accuracy=57.696514 loss=1.748603 lr=0.006288 Epoch[095] Batch [1349]/[1880] Speed: 189.812439 samples/sec accuracy=57.721644 loss=1.748124 lr=0.006286 Epoch[095] Batch [1399]/[1880] Speed: 173.527720 samples/sec accuracy=57.645647 loss=1.750916 lr=0.006283 Epoch[095] Batch [1449]/[1880] Speed: 197.894460 samples/sec accuracy=57.614763 loss=1.751906 lr=0.006281 Epoch[095] Batch [1499]/[1880] Speed: 168.538384 samples/sec accuracy=57.601042 loss=1.752853 lr=0.006279 Epoch[095] Batch [1549]/[1880] Speed: 206.187083 samples/sec accuracy=57.563004 loss=1.753934 lr=0.006276 Epoch[095] Batch [1599]/[1880] Speed: 188.520303 samples/sec accuracy=57.521973 loss=1.754911 lr=0.006274 Epoch[095] Batch [1649]/[1880] Speed: 171.588724 samples/sec accuracy=57.512311 loss=1.755180 lr=0.006272 Epoch[095] Batch [1699]/[1880] Speed: 193.333539 samples/sec accuracy=57.505515 loss=1.755200 lr=0.006269 Epoch[095] Batch [1749]/[1880] Speed: 176.530169 samples/sec accuracy=57.466518 loss=1.756477 lr=0.006267 Epoch[095] Batch [1799]/[1880] Speed: 187.872390 samples/sec accuracy=57.444444 loss=1.756753 lr=0.006265 Epoch[095] Batch [1849]/[1880] Speed: 198.664366 samples/sec accuracy=57.406672 loss=1.758182 lr=0.006262 Batch [0049]/[0151]: acc-top1=46.000000 acc-top5=70.875000 Batch [0099]/[0151]: acc-top1=49.304688 acc-top5=72.867188 Batch [0149]/[0151]: acc-top1=48.369792 acc-top5=72.843750 [Epoch 095] training: accuracy=57.395695 loss=1.758426 [Epoch 095] speed: 184 samples/sec time cost: 1418.431695 [Epoch 095] validation: acc-top1=48.313328 acc-top5=72.811465 loss=2.270992 Epoch[096] Batch [0049]/[1880] Speed: 131.325265 samples/sec accuracy=58.765625 loss=1.691117 lr=0.006259 Epoch[096] Batch [0099]/[1880] Speed: 191.995819 samples/sec accuracy=58.351562 loss=1.707377 lr=0.006256 Epoch[096] Batch [0149]/[1880] Speed: 198.736703 samples/sec accuracy=58.718750 loss=1.696053 lr=0.006254 Epoch[096] Batch [0199]/[1880] Speed: 169.806843 samples/sec accuracy=58.507812 loss=1.709247 lr=0.006252 Epoch[096] Batch [0249]/[1880] Speed: 199.189740 samples/sec accuracy=58.165625 loss=1.717300 lr=0.006249 Epoch[096] Batch [0299]/[1880] Speed: 177.865672 samples/sec accuracy=58.138021 loss=1.714645 lr=0.006247 Epoch[096] Batch [0349]/[1880] Speed: 191.689836 samples/sec accuracy=58.303571 loss=1.712864 lr=0.006244 Epoch[096] Batch [0399]/[1880] Speed: 180.116880 samples/sec accuracy=58.275391 loss=1.716242 lr=0.006242 Epoch[096] Batch [0449]/[1880] Speed: 204.175482 samples/sec accuracy=58.149306 loss=1.720696 lr=0.006240 Epoch[096] Batch [0499]/[1880] Speed: 179.179927 samples/sec accuracy=58.148438 loss=1.722705 lr=0.006237 Epoch[096] Batch [0549]/[1880] Speed: 184.735292 samples/sec accuracy=58.156250 loss=1.720868 lr=0.006235 Epoch[096] Batch [0599]/[1880] Speed: 188.498060 samples/sec accuracy=58.114583 loss=1.723723 lr=0.006233 Epoch[096] Batch [0649]/[1880] Speed: 183.576172 samples/sec accuracy=58.082933 loss=1.726773 lr=0.006230 Epoch[096] Batch [0699]/[1880] Speed: 175.781901 samples/sec accuracy=58.099330 loss=1.725864 lr=0.006228 Epoch[096] Batch [0749]/[1880] Speed: 193.316188 samples/sec accuracy=58.036458 loss=1.726827 lr=0.006226 Epoch[096] Batch [0799]/[1880] Speed: 188.375336 samples/sec accuracy=57.997070 loss=1.727031 lr=0.006223 Epoch[096] Batch [0849]/[1880] Speed: 190.306179 samples/sec accuracy=57.943934 loss=1.731091 lr=0.006221 Epoch[096] Batch [0899]/[1880] Speed: 179.289122 samples/sec accuracy=57.927083 loss=1.731243 lr=0.006219 Epoch[096] Batch [0949]/[1880] Speed: 188.525999 samples/sec accuracy=57.898849 loss=1.732276 lr=0.006216 Epoch[096] Batch [0999]/[1880] Speed: 182.505802 samples/sec accuracy=57.892969 loss=1.733579 lr=0.006214 Epoch[096] Batch [1049]/[1880] Speed: 189.389604 samples/sec accuracy=57.927827 loss=1.732491 lr=0.006211 Epoch[096] Batch [1099]/[1880] Speed: 182.201999 samples/sec accuracy=57.883523 loss=1.735311 lr=0.006209 Epoch[096] Batch [1149]/[1880] Speed: 193.931455 samples/sec accuracy=57.816576 loss=1.738738 lr=0.006207 Epoch[096] Batch [1199]/[1880] Speed: 176.535939 samples/sec accuracy=57.792969 loss=1.740123 lr=0.006204 Epoch[096] Batch [1249]/[1880] Speed: 193.412181 samples/sec accuracy=57.764375 loss=1.740917 lr=0.006202 Epoch[096] Batch [1299]/[1880] Speed: 174.151378 samples/sec accuracy=57.754808 loss=1.741890 lr=0.006200 Epoch[096] Batch [1349]/[1880] Speed: 203.434131 samples/sec accuracy=57.767361 loss=1.742477 lr=0.006197 Epoch[096] Batch [1399]/[1880] Speed: 184.943722 samples/sec accuracy=57.783482 loss=1.741486 lr=0.006195 Epoch[096] Batch [1449]/[1880] Speed: 175.424899 samples/sec accuracy=57.752694 loss=1.742162 lr=0.006193 Epoch[096] Batch [1499]/[1880] Speed: 201.431020 samples/sec accuracy=57.709896 loss=1.742776 lr=0.006190 Epoch[096] Batch [1549]/[1880] Speed: 175.736385 samples/sec accuracy=57.703629 loss=1.743414 lr=0.006188 Epoch[096] Batch [1599]/[1880] Speed: 186.300803 samples/sec accuracy=57.713867 loss=1.743303 lr=0.006186 Epoch[096] Batch [1649]/[1880] Speed: 193.082045 samples/sec accuracy=57.697443 loss=1.744376 lr=0.006183 Epoch[096] Batch [1699]/[1880] Speed: 193.276705 samples/sec accuracy=57.691176 loss=1.744632 lr=0.006181 Epoch[096] Batch [1749]/[1880] Speed: 175.966162 samples/sec accuracy=57.674107 loss=1.746087 lr=0.006178 Epoch[096] Batch [1799]/[1880] Speed: 189.576285 samples/sec accuracy=57.661024 loss=1.746895 lr=0.006176 Epoch[096] Batch [1849]/[1880] Speed: 171.021173 samples/sec accuracy=57.658361 loss=1.746987 lr=0.006174 Batch [0049]/[0151]: acc-top1=44.406250 acc-top5=69.500000 Batch [0099]/[0151]: acc-top1=48.257812 acc-top5=72.164062 Batch [0149]/[0151]: acc-top1=47.395833 acc-top5=72.041667 [Epoch 096] training: accuracy=57.641290 loss=1.747648 [Epoch 096] speed: 184 samples/sec time cost: 1416.640617 [Epoch 096] validation: acc-top1=47.335472 acc-top5=71.999172 loss=2.328552 Epoch[097] Batch [0049]/[1880] Speed: 132.226586 samples/sec accuracy=58.687500 loss=1.693479 lr=0.006170 Epoch[097] Batch [0099]/[1880] Speed: 197.032487 samples/sec accuracy=58.351562 loss=1.710233 lr=0.006168 Epoch[097] Batch [0149]/[1880] Speed: 184.572929 samples/sec accuracy=58.390625 loss=1.701207 lr=0.006165 Epoch[097] Batch [0199]/[1880] Speed: 175.516597 samples/sec accuracy=58.312500 loss=1.713196 lr=0.006163 Epoch[097] Batch [0249]/[1880] Speed: 198.180765 samples/sec accuracy=58.493750 loss=1.703096 lr=0.006160 Epoch[097] Batch [0299]/[1880] Speed: 174.845078 samples/sec accuracy=58.390625 loss=1.710643 lr=0.006158 Epoch[097] Batch [0349]/[1880] Speed: 200.923196 samples/sec accuracy=58.308036 loss=1.715561 lr=0.006156 Epoch[097] Batch [0399]/[1880] Speed: 176.836817 samples/sec accuracy=58.285156 loss=1.716877 lr=0.006153 Epoch[097] Batch [0449]/[1880] Speed: 195.396362 samples/sec accuracy=58.279514 loss=1.717680 lr=0.006151 Epoch[097] Batch [0499]/[1880] Speed: 180.155712 samples/sec accuracy=58.225000 loss=1.720127 lr=0.006149 Epoch[097] Batch [0549]/[1880] Speed: 187.245862 samples/sec accuracy=58.099432 loss=1.723950 lr=0.006146 Epoch[097] Batch [0599]/[1880] Speed: 187.708103 samples/sec accuracy=58.092448 loss=1.724817 lr=0.006144 Epoch[097] Batch [0649]/[1880] Speed: 187.341418 samples/sec accuracy=58.001202 loss=1.729988 lr=0.006142 Epoch[097] Batch [0699]/[1880] Speed: 193.661680 samples/sec accuracy=57.941964 loss=1.732068 lr=0.006139 Epoch[097] Batch [0749]/[1880] Speed: 168.785046 samples/sec accuracy=57.959375 loss=1.730311 lr=0.006137 Epoch[097] Batch [0799]/[1880] Speed: 206.380983 samples/sec accuracy=57.952148 loss=1.729491 lr=0.006134 Epoch[097] Batch [0849]/[1880] Speed: 178.461325 samples/sec accuracy=57.964154 loss=1.730656 lr=0.006132 Epoch[097] Batch [0899]/[1880] Speed: 177.278115 samples/sec accuracy=57.977431 loss=1.731357 lr=0.006130 Epoch[097] Batch [0949]/[1880] Speed: 204.536332 samples/sec accuracy=57.937500 loss=1.732456 lr=0.006127 Epoch[097] Batch [0999]/[1880] Speed: 171.600000 samples/sec accuracy=57.916406 loss=1.734275 lr=0.006125 Epoch[097] Batch [1049]/[1880] Speed: 196.524579 samples/sec accuracy=57.941964 loss=1.733553 lr=0.006123 Epoch[097] Batch [1099]/[1880] Speed: 182.811755 samples/sec accuracy=57.953835 loss=1.735144 lr=0.006120 Epoch[097] Batch [1149]/[1880] Speed: 178.352222 samples/sec accuracy=57.918478 loss=1.737004 lr=0.006118 Epoch[097] Batch [1199]/[1880] Speed: 206.549999 samples/sec accuracy=57.941406 loss=1.736238 lr=0.006116 Epoch[097] Batch [1249]/[1880] Speed: 172.013620 samples/sec accuracy=57.905625 loss=1.737077 lr=0.006113 Epoch[097] Batch [1299]/[1880] Speed: 191.522756 samples/sec accuracy=57.891827 loss=1.737149 lr=0.006111 Epoch[097] Batch [1349]/[1880] Speed: 188.659703 samples/sec accuracy=57.887731 loss=1.737232 lr=0.006108 Epoch[097] Batch [1399]/[1880] Speed: 167.342924 samples/sec accuracy=57.858817 loss=1.737505 lr=0.006106 Epoch[097] Batch [1449]/[1880] Speed: 202.401238 samples/sec accuracy=57.836207 loss=1.738067 lr=0.006104 Epoch[097] Batch [1499]/[1880] Speed: 191.151986 samples/sec accuracy=57.766146 loss=1.740618 lr=0.006101 Epoch[097] Batch [1549]/[1880] Speed: 176.872644 samples/sec accuracy=57.759577 loss=1.741078 lr=0.006099 Epoch[097] Batch [1599]/[1880] Speed: 194.634240 samples/sec accuracy=57.757813 loss=1.741034 lr=0.006097 Epoch[097] Batch [1649]/[1880] Speed: 165.356734 samples/sec accuracy=57.727746 loss=1.742753 lr=0.006094 Epoch[097] Batch [1699]/[1880] Speed: 209.480448 samples/sec accuracy=57.742647 loss=1.742037 lr=0.006092 Epoch[097] Batch [1749]/[1880] Speed: 180.609589 samples/sec accuracy=57.702679 loss=1.743571 lr=0.006089 Epoch[097] Batch [1799]/[1880] Speed: 178.671615 samples/sec accuracy=57.691406 loss=1.743988 lr=0.006087 Epoch[097] Batch [1849]/[1880] Speed: 203.884017 samples/sec accuracy=57.668074 loss=1.745663 lr=0.006085 Batch [0049]/[0151]: acc-top1=44.812500 acc-top5=69.718750 Batch [0099]/[0151]: acc-top1=48.101562 acc-top5=71.789062 Batch [0149]/[0151]: acc-top1=46.911458 acc-top5=71.479167 [Epoch 097] training: accuracy=57.659159 loss=1.745837 [Epoch 097] speed: 184 samples/sec time cost: 1417.361972 [Epoch 097] validation: acc-top1=46.864652 acc-top5=71.461093 loss=2.378505 Epoch[098] Batch [0049]/[1879] Speed: 133.437390 samples/sec accuracy=60.046875 loss=1.662786 lr=0.006081 Epoch[098] Batch [0099]/[1879] Speed: 189.892701 samples/sec accuracy=59.429687 loss=1.673793 lr=0.006079 Epoch[098] Batch [0149]/[1879] Speed: 175.155279 samples/sec accuracy=58.817708 loss=1.698573 lr=0.006076 Epoch[098] Batch [0199]/[1879] Speed: 199.269897 samples/sec accuracy=58.707031 loss=1.702326 lr=0.006074 Epoch[098] Batch [0249]/[1879] Speed: 193.731633 samples/sec accuracy=58.815625 loss=1.694640 lr=0.006071 Epoch[098] Batch [0299]/[1879] Speed: 175.130709 samples/sec accuracy=58.750000 loss=1.692248 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Speed: 185.630964 samples/sec accuracy=58.463867 loss=1.708098 lr=0.006045 Epoch[098] Batch [0849]/[1879] Speed: 179.746139 samples/sec accuracy=58.443015 loss=1.708487 lr=0.006043 Epoch[098] Batch [0899]/[1879] Speed: 194.971649 samples/sec accuracy=58.398438 loss=1.711491 lr=0.006041 Epoch[098] Batch [0949]/[1879] Speed: 181.414653 samples/sec accuracy=58.362664 loss=1.713905 lr=0.006038 Epoch[098] Batch [0999]/[1879] Speed: 181.928818 samples/sec accuracy=58.348438 loss=1.713899 lr=0.006036 Epoch[098] Batch [1049]/[1879] Speed: 191.945023 samples/sec accuracy=58.288690 loss=1.717286 lr=0.006033 Epoch[098] Batch [1099]/[1879] Speed: 179.783495 samples/sec accuracy=58.217330 loss=1.719739 lr=0.006031 Epoch[098] Batch [1149]/[1879] Speed: 183.063378 samples/sec accuracy=58.236413 loss=1.720045 lr=0.006029 Epoch[098] Batch [1199]/[1879] Speed: 200.099898 samples/sec accuracy=58.233724 loss=1.721235 lr=0.006026 Epoch[098] Batch [1249]/[1879] Speed: 187.974995 samples/sec accuracy=58.205000 loss=1.721727 lr=0.006024 Epoch[098] Batch [1299]/[1879] Speed: 167.686176 samples/sec accuracy=58.200721 loss=1.722710 lr=0.006022 Epoch[098] Batch [1349]/[1879] Speed: 208.483620 samples/sec accuracy=58.203125 loss=1.723125 lr=0.006019 Epoch[098] Batch [1399]/[1879] Speed: 169.942230 samples/sec accuracy=58.178013 loss=1.723327 lr=0.006017 Epoch[098] Batch [1449]/[1879] Speed: 197.404629 samples/sec accuracy=58.174569 loss=1.725373 lr=0.006014 Epoch[098] Batch [1499]/[1879] Speed: 191.459439 samples/sec accuracy=58.163021 loss=1.725640 lr=0.006012 Epoch[098] Batch [1549]/[1879] Speed: 174.135596 samples/sec accuracy=58.164315 loss=1.725435 lr=0.006010 Epoch[098] Batch [1599]/[1879] Speed: 200.609111 samples/sec accuracy=58.172852 loss=1.725617 lr=0.006007 Epoch[098] Batch [1649]/[1879] Speed: 177.334352 samples/sec accuracy=58.172822 loss=1.725079 lr=0.006005 Epoch[098] Batch [1699]/[1879] Speed: 183.901109 samples/sec accuracy=58.143842 loss=1.726241 lr=0.006002 Epoch[098] Batch [1749]/[1879] Speed: 196.057614 samples/sec accuracy=58.133482 loss=1.726961 lr=0.006000 Epoch[098] Batch [1799]/[1879] Speed: 175.762280 samples/sec accuracy=58.144097 loss=1.726190 lr=0.005998 Epoch[098] Batch [1849]/[1879] Speed: 197.686462 samples/sec accuracy=58.135135 loss=1.726410 lr=0.005995 Batch [0049]/[0151]: acc-top1=45.421875 acc-top5=70.406250 Batch [0099]/[0151]: acc-top1=49.429688 acc-top5=73.015625 Batch [0149]/[0151]: acc-top1=48.479167 acc-top5=72.708333 [Epoch 098] training: accuracy=58.122672 loss=1.727028 [Epoch 098] speed: 184 samples/sec time cost: 1416.178078 [Epoch 098] validation: acc-top1=48.421978 acc-top5=72.661424 loss=2.277966 Epoch[099] Batch [0049]/[1880] Speed: 133.515444 samples/sec accuracy=60.468750 loss=1.661664 lr=0.005992 Epoch[099] Batch [0099]/[1880] Speed: 201.348705 samples/sec accuracy=59.804688 loss=1.688803 lr=0.005989 Epoch[099] Batch [0149]/[1880] Speed: 183.421803 samples/sec accuracy=59.583333 loss=1.690429 lr=0.005987 Epoch[099] Batch [0199]/[1880] Speed: 180.416542 samples/sec accuracy=59.023438 loss=1.701964 lr=0.005984 Epoch[099] Batch [0249]/[1880] Speed: 182.999605 samples/sec accuracy=59.012500 loss=1.696872 lr=0.005982 Epoch[099] Batch [0299]/[1880] Speed: 182.229573 samples/sec accuracy=58.973958 loss=1.693895 lr=0.005980 Epoch[099] Batch [0349]/[1880] Speed: 180.857979 samples/sec accuracy=58.883929 loss=1.696659 lr=0.005977 Epoch[099] Batch [0399]/[1880] Speed: 203.947129 samples/sec accuracy=58.781250 loss=1.699991 lr=0.005975 Epoch[099] Batch [0449]/[1880] Speed: 171.850501 samples/sec accuracy=58.848958 loss=1.696036 lr=0.005973 Epoch[099] Batch [0499]/[1880] Speed: 192.372352 samples/sec accuracy=58.859375 loss=1.693110 lr=0.005970 Epoch[099] Batch [0549]/[1880] Speed: 180.617913 samples/sec accuracy=58.727273 loss=1.698267 lr=0.005968 Epoch[099] Batch [0599]/[1880] Speed: 192.373977 samples/sec accuracy=58.752604 loss=1.696488 lr=0.005965 Epoch[099] Batch [0649]/[1880] Speed: 192.263283 samples/sec accuracy=58.742788 loss=1.699682 lr=0.005963 Epoch[099] Batch [0699]/[1880] Speed: 173.703629 samples/sec accuracy=58.724330 loss=1.700081 lr=0.005961 Epoch[099] Batch [0749]/[1880] Speed: 202.780383 samples/sec accuracy=58.695833 loss=1.700437 lr=0.005958 Epoch[099] Batch [0799]/[1880] Speed: 176.347486 samples/sec accuracy=58.742188 loss=1.698835 lr=0.005956 Epoch[099] Batch [0849]/[1880] Speed: 182.935231 samples/sec accuracy=58.773897 loss=1.696126 lr=0.005953 Epoch[099] Batch [0899]/[1880] Speed: 199.816335 samples/sec accuracy=58.787326 loss=1.696735 lr=0.005951 Epoch[099] Batch [0949]/[1880] Speed: 177.662857 samples/sec accuracy=58.757401 loss=1.698317 lr=0.005949 Epoch[099] Batch [0999]/[1880] Speed: 194.222103 samples/sec accuracy=58.692969 loss=1.700789 lr=0.005946 Epoch[099] Batch [1049]/[1880] Speed: 172.685152 samples/sec accuracy=58.659226 loss=1.702520 lr=0.005944 Epoch[099] Batch [1099]/[1880] Speed: 195.844022 samples/sec accuracy=58.674716 loss=1.702200 lr=0.005942 Epoch[099] Batch [1149]/[1880] Speed: 171.390729 samples/sec accuracy=58.655571 loss=1.701872 lr=0.005939 Epoch[099] Batch [1199]/[1880] Speed: 199.828764 samples/sec accuracy=58.595052 loss=1.703511 lr=0.005937 Epoch[099] Batch [1249]/[1880] Speed: 188.605234 samples/sec accuracy=58.616875 loss=1.702541 lr=0.005934 Epoch[099] Batch [1299]/[1880] Speed: 168.632001 samples/sec accuracy=58.587139 loss=1.704137 lr=0.005932 Epoch[099] Batch [1349]/[1880] Speed: 200.788456 samples/sec accuracy=58.523148 loss=1.706827 lr=0.005930 Epoch[099] Batch [1399]/[1880] Speed: 181.034575 samples/sec accuracy=58.496652 loss=1.708159 lr=0.005927 Epoch[099] Batch [1449]/[1880] Speed: 182.334589 samples/sec accuracy=58.482220 loss=1.708753 lr=0.005925 Epoch[099] Batch [1499]/[1880] Speed: 192.233260 samples/sec accuracy=58.479687 loss=1.709092 lr=0.005922 Epoch[099] Batch [1549]/[1880] Speed: 187.072715 samples/sec accuracy=58.489415 loss=1.708369 lr=0.005920 Epoch[099] Batch [1599]/[1880] Speed: 189.477371 samples/sec accuracy=58.437012 loss=1.710274 lr=0.005918 Epoch[099] Batch [1649]/[1880] Speed: 181.978331 samples/sec accuracy=58.405303 loss=1.711687 lr=0.005915 Epoch[099] Batch [1699]/[1880] Speed: 190.869852 samples/sec accuracy=58.430607 loss=1.710452 lr=0.005913 Epoch[099] Batch [1749]/[1880] Speed: 177.032339 samples/sec accuracy=58.426786 loss=1.711490 lr=0.005910 Epoch[099] Batch [1799]/[1880] Speed: 199.412999 samples/sec accuracy=58.391059 loss=1.713164 lr=0.005908 Epoch[099] Batch [1849]/[1880] Speed: 178.850606 samples/sec accuracy=58.347973 loss=1.715605 lr=0.005906 Batch [0049]/[0151]: acc-top1=46.578125 acc-top5=70.906250 Batch [0099]/[0151]: acc-top1=49.835938 acc-top5=73.171875 Batch [0149]/[0151]: acc-top1=48.968750 acc-top5=73.026042 [Epoch 099] training: accuracy=58.328208 loss=1.715738 [Epoch 099] speed: 184 samples/sec time cost: 1417.647594 [Epoch 099] validation: acc-top1=48.918667 acc-top5=72.987376 loss=2.262799 Epoch[100] Batch [0049]/[1880] Speed: 135.345339 samples/sec accuracy=59.765625 loss=1.661048 lr=0.005902 Epoch[100] Batch [0099]/[1880] Speed: 192.940460 samples/sec accuracy=59.578125 loss=1.672897 lr=0.005899 Epoch[100] Batch [0149]/[1880] Speed: 179.763864 samples/sec accuracy=59.791667 loss=1.668653 lr=0.005897 Epoch[100] Batch [0199]/[1880] Speed: 196.076613 samples/sec accuracy=59.593750 loss=1.672229 lr=0.005895 Epoch[100] Batch [0249]/[1880] Speed: 171.480477 samples/sec accuracy=59.275000 loss=1.676470 lr=0.005892 Epoch[100] Batch [0299]/[1880] Speed: 192.864801 samples/sec accuracy=59.171875 loss=1.684853 lr=0.005890 Epoch[100] Batch [0349]/[1880] Speed: 182.306942 samples/sec accuracy=59.140625 loss=1.684666 lr=0.005888 Epoch[100] Batch [0399]/[1880] Speed: 193.523108 samples/sec accuracy=59.066406 loss=1.689051 lr=0.005885 Epoch[100] Batch [0449]/[1880] Speed: 183.098831 samples/sec accuracy=59.031250 loss=1.687732 lr=0.005883 Epoch[100] Batch [0499]/[1880] Speed: 190.862820 samples/sec accuracy=59.035938 loss=1.688791 lr=0.005880 Epoch[100] Batch [0549]/[1880] Speed: 184.798086 samples/sec accuracy=59.005682 loss=1.688290 lr=0.005878 Epoch[100] Batch [0599]/[1880] Speed: 178.780761 samples/sec accuracy=58.980469 loss=1.690111 lr=0.005876 Epoch[100] Batch [0649]/[1880] Speed: 193.960684 samples/sec accuracy=58.944712 loss=1.692253 lr=0.005873 Epoch[100] Batch [0699]/[1880] Speed: 187.801156 samples/sec accuracy=58.934152 loss=1.691457 lr=0.005871 Epoch[100] Batch [0749]/[1880] Speed: 191.187939 samples/sec accuracy=58.930208 loss=1.691154 lr=0.005868 Epoch[100] Batch [0799]/[1880] Speed: 176.574991 samples/sec accuracy=58.928711 loss=1.691102 lr=0.005866 Epoch[100] Batch [0849]/[1880] Speed: 189.497513 samples/sec accuracy=58.940257 loss=1.690699 lr=0.005864 Epoch[100] Batch [0899]/[1880] Speed: 185.624953 samples/sec accuracy=58.921007 loss=1.691802 lr=0.005861 Epoch[100] Batch [0949]/[1880] Speed: 190.231833 samples/sec accuracy=58.899671 loss=1.693382 lr=0.005859 Epoch[100] Batch [0999]/[1880] Speed: 179.379717 samples/sec accuracy=58.913281 loss=1.693554 lr=0.005856 Epoch[100] Batch [1049]/[1880] Speed: 188.562883 samples/sec accuracy=58.951637 loss=1.691514 lr=0.005854 Epoch[100] Batch [1099]/[1880] Speed: 169.935181 samples/sec accuracy=58.898438 loss=1.693574 lr=0.005852 Epoch[100] Batch [1149]/[1880] Speed: 210.232398 samples/sec accuracy=58.925951 loss=1.692596 lr=0.005849 Epoch[100] Batch [1199]/[1880] Speed: 175.141295 samples/sec accuracy=58.886719 loss=1.693892 lr=0.005847 Epoch[100] Batch [1249]/[1880] Speed: 186.445722 samples/sec accuracy=58.923125 loss=1.693084 lr=0.005844 Epoch[100] Batch [1299]/[1880] Speed: 194.197428 samples/sec accuracy=58.880409 loss=1.694679 lr=0.005842 Epoch[100] Batch [1349]/[1880] Speed: 178.678686 samples/sec accuracy=58.881944 loss=1.694768 lr=0.005840 Epoch[100] Batch [1399]/[1880] Speed: 193.949589 samples/sec accuracy=58.847098 loss=1.697169 lr=0.005837 Epoch[100] Batch [1449]/[1880] Speed: 170.641399 samples/sec accuracy=58.863147 loss=1.696557 lr=0.005835 Epoch[100] Batch [1499]/[1880] Speed: 208.400028 samples/sec accuracy=58.855729 loss=1.696645 lr=0.005832 Epoch[100] Batch [1549]/[1880] Speed: 187.707721 samples/sec accuracy=58.836694 loss=1.696746 lr=0.005830 Epoch[100] Batch [1599]/[1880] Speed: 177.895807 samples/sec accuracy=58.828125 loss=1.697137 lr=0.005828 Epoch[100] Batch [1649]/[1880] Speed: 190.186657 samples/sec accuracy=58.779356 loss=1.698397 lr=0.005825 Epoch[100] Batch [1699]/[1880] Speed: 171.377544 samples/sec accuracy=58.757353 loss=1.698794 lr=0.005823 Epoch[100] Batch [1749]/[1880] Speed: 198.408350 samples/sec accuracy=58.731250 loss=1.699265 lr=0.005820 Epoch[100] Batch [1799]/[1880] Speed: 195.763551 samples/sec accuracy=58.717448 loss=1.699473 lr=0.005818 Epoch[100] Batch [1849]/[1880] Speed: 164.894143 samples/sec accuracy=58.690456 loss=1.700697 lr=0.005816 Batch [0049]/[0151]: acc-top1=44.953125 acc-top5=70.031250 Batch [0099]/[0151]: acc-top1=49.078125 acc-top5=72.609375 Batch [0149]/[0151]: acc-top1=48.515625 acc-top5=72.796875 [Epoch 100] training: accuracy=58.666057 loss=1.702248 [Epoch 100] speed: 184 samples/sec time cost: 1416.626293 [Epoch 100] validation: acc-top1=48.458195 acc-top5=72.749379 loss=2.254699 Epoch[101] Batch [0049]/[1880] Speed: 132.413035 samples/sec accuracy=59.656250 loss=1.671309 lr=0.005812 Epoch[101] Batch [0099]/[1880] Speed: 189.241670 samples/sec accuracy=59.375000 loss=1.659274 lr=0.005809 Epoch[101] Batch [0149]/[1880] Speed: 186.779263 samples/sec accuracy=59.281250 loss=1.653858 lr=0.005807 Epoch[101] Batch [0199]/[1880] Speed: 184.673113 samples/sec accuracy=59.097656 loss=1.664365 lr=0.005805 Epoch[101] Batch [0249]/[1880] Speed: 189.665705 samples/sec accuracy=59.218750 loss=1.660643 lr=0.005802 Epoch[101] Batch [0299]/[1880] Speed: 181.699652 samples/sec accuracy=59.138021 loss=1.661538 lr=0.005800 Epoch[101] Batch [0349]/[1880] Speed: 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accuracy=58.871429 loss=1.683676 lr=0.005730 Epoch[101] Batch [1799]/[1880] Speed: 193.595074 samples/sec accuracy=58.845920 loss=1.685124 lr=0.005728 Epoch[101] Batch [1849]/[1880] Speed: 204.121588 samples/sec accuracy=58.856841 loss=1.684851 lr=0.005725 Batch [0049]/[0151]: acc-top1=45.468750 acc-top5=70.062500 Batch [0099]/[0151]: acc-top1=49.578125 acc-top5=72.742188 Batch [0149]/[0151]: acc-top1=48.630208 acc-top5=72.713542 [Epoch 101] training: accuracy=58.838930 loss=1.685513 [Epoch 101] speed: 184 samples/sec time cost: 1419.959425 [Epoch 101] validation: acc-top1=48.546151 acc-top5=72.687293 loss=2.262324 Epoch[102] Batch [0049]/[1880] Speed: 132.636984 samples/sec accuracy=58.718750 loss=1.668159 lr=0.005722 Epoch[102] Batch [0099]/[1880] Speed: 202.382603 samples/sec accuracy=59.320313 loss=1.671478 lr=0.005719 Epoch[102] Batch [0149]/[1880] Speed: 169.240046 samples/sec accuracy=59.348958 loss=1.673456 lr=0.005717 Epoch[102] Batch [0199]/[1880] Speed: 203.691288 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accuracy=59.235352 loss=1.672626 lr=0.005647 Epoch[102] Batch [1649]/[1880] Speed: 181.343865 samples/sec accuracy=59.216383 loss=1.673493 lr=0.005645 Epoch[102] Batch [1699]/[1880] Speed: 183.889862 samples/sec accuracy=59.198070 loss=1.674136 lr=0.005642 Epoch[102] Batch [1749]/[1880] Speed: 173.728711 samples/sec accuracy=59.188839 loss=1.674627 lr=0.005640 Epoch[102] Batch [1799]/[1880] Speed: 195.109690 samples/sec accuracy=59.158854 loss=1.676479 lr=0.005637 Epoch[102] Batch [1849]/[1880] Speed: 200.003222 samples/sec accuracy=59.119088 loss=1.677557 lr=0.005635 Batch [0049]/[0151]: acc-top1=45.468750 acc-top5=70.515625 Batch [0099]/[0151]: acc-top1=49.414062 acc-top5=72.984375 Batch [0149]/[0151]: acc-top1=48.640625 acc-top5=72.963542 [Epoch 102] training: accuracy=59.128158 loss=1.677490 [Epoch 102] speed: 185 samples/sec time cost: 1415.207735 [Epoch 102] validation: acc-top1=48.587541 acc-top5=72.889073 loss=2.277406 Epoch[103] Batch [0049]/[1880] Speed: 131.748534 samples/sec accuracy=59.937500 loss=1.611808 lr=0.005631 Epoch[103] Batch [0099]/[1880] Speed: 200.453569 samples/sec accuracy=60.156250 loss=1.619341 lr=0.005629 Epoch[103] Batch [0149]/[1880] Speed: 187.426032 samples/sec accuracy=60.213542 loss=1.624814 lr=0.005626 Epoch[103] Batch [0199]/[1880] Speed: 170.673719 samples/sec accuracy=60.078125 loss=1.627395 lr=0.005624 Epoch[103] Batch [0249]/[1880] Speed: 203.018566 samples/sec accuracy=59.928125 loss=1.641390 lr=0.005621 Epoch[103] Batch [0299]/[1880] Speed: 174.892994 samples/sec accuracy=59.953125 loss=1.640025 lr=0.005619 Epoch[103] Batch [0349]/[1880] Speed: 195.680899 samples/sec accuracy=59.821429 loss=1.644923 lr=0.005617 Epoch[103] Batch [0399]/[1880] Speed: 184.906370 samples/sec accuracy=59.792969 loss=1.648349 lr=0.005614 Epoch[103] Batch [0449]/[1880] Speed: 193.823229 samples/sec accuracy=59.788194 loss=1.649210 lr=0.005612 Epoch[103] Batch [0499]/[1880] Speed: 170.227486 samples/sec accuracy=59.795312 loss=1.648863 lr=0.005609 Epoch[103] Batch [0549]/[1880] Speed: 198.456573 samples/sec accuracy=59.625000 loss=1.651422 lr=0.005607 Epoch[103] Batch [0599]/[1880] Speed: 182.200944 samples/sec accuracy=59.602865 loss=1.652656 lr=0.005604 Epoch[103] Batch [0649]/[1880] Speed: 183.708986 samples/sec accuracy=59.605769 loss=1.653655 lr=0.005602 Epoch[103] Batch [0699]/[1880] Speed: 195.876258 samples/sec accuracy=59.530134 loss=1.656583 lr=0.005600 Epoch[103] Batch [0749]/[1880] Speed: 181.436713 samples/sec accuracy=59.525000 loss=1.656924 lr=0.005597 Epoch[103] Batch [0799]/[1880] Speed: 178.043722 samples/sec accuracy=59.535156 loss=1.658315 lr=0.005595 Epoch[103] Batch [0849]/[1880] Speed: 199.981010 samples/sec accuracy=59.546875 loss=1.658464 lr=0.005592 Epoch[103] Batch [0899]/[1880] Speed: 176.041390 samples/sec accuracy=59.477431 loss=1.660689 lr=0.005590 Epoch[103] Batch [0949]/[1880] Speed: 196.223608 samples/sec accuracy=59.462171 loss=1.661750 lr=0.005588 Epoch[103] Batch [0999]/[1880] Speed: 170.546814 samples/sec accuracy=59.454688 loss=1.662295 lr=0.005585 Epoch[103] Batch [1049]/[1880] Speed: 195.380412 samples/sec accuracy=59.454613 loss=1.661975 lr=0.005583 Epoch[103] Batch [1099]/[1880] Speed: 197.849199 samples/sec accuracy=59.421165 loss=1.663365 lr=0.005580 Epoch[103] Batch [1149]/[1880] Speed: 184.150319 samples/sec accuracy=59.420516 loss=1.663638 lr=0.005578 Epoch[103] Batch [1199]/[1880] Speed: 186.422049 samples/sec accuracy=59.438802 loss=1.663036 lr=0.005576 Epoch[103] Batch [1249]/[1880] Speed: 193.092707 samples/sec accuracy=59.451875 loss=1.662492 lr=0.005573 Epoch[103] Batch [1299]/[1880] Speed: 166.543187 samples/sec accuracy=59.475962 loss=1.661314 lr=0.005571 Epoch[103] Batch [1349]/[1880] Speed: 202.034461 samples/sec accuracy=59.497685 loss=1.660288 lr=0.005568 Epoch[103] Batch [1399]/[1880] Speed: 187.565668 samples/sec accuracy=59.415179 loss=1.663866 lr=0.005566 Epoch[103] Batch [1449]/[1880] Speed: 179.321806 samples/sec accuracy=59.386315 loss=1.665469 lr=0.005563 Epoch[103] Batch [1499]/[1880] Speed: 189.446820 samples/sec accuracy=59.363542 loss=1.666552 lr=0.005561 Epoch[103] Batch [1549]/[1880] Speed: 178.391527 samples/sec accuracy=59.365927 loss=1.666603 lr=0.005559 Epoch[103] Batch [1599]/[1880] Speed: 195.392879 samples/sec accuracy=59.339844 loss=1.667892 lr=0.005556 Epoch[103] Batch [1649]/[1880] Speed: 179.195623 samples/sec accuracy=59.347538 loss=1.668138 lr=0.005554 Epoch[103] Batch [1699]/[1880] Speed: 193.329089 samples/sec accuracy=59.313419 loss=1.669206 lr=0.005551 Epoch[103] Batch [1749]/[1880] Speed: 179.405476 samples/sec accuracy=59.252679 loss=1.671793 lr=0.005549 Epoch[103] Batch [1799]/[1880] Speed: 180.947320 samples/sec accuracy=59.256510 loss=1.672944 lr=0.005547 Epoch[103] Batch [1849]/[1880] Speed: 200.184030 samples/sec accuracy=59.274916 loss=1.672322 lr=0.005544 Batch [0049]/[0151]: acc-top1=45.765625 acc-top5=70.906250 Batch [0099]/[0151]: acc-top1=49.406250 acc-top5=73.242188 Batch [0149]/[0151]: acc-top1=48.515625 acc-top5=73.119792 [Epoch 103] training: accuracy=59.265708 loss=1.672161 [Epoch 103] speed: 184 samples/sec time cost: 1416.331936 [Epoch 103] validation: acc-top1=48.458195 acc-top5=73.075331 loss=2.268923 Epoch[104] Batch [0049]/[1879] Speed: 133.287632 samples/sec accuracy=59.812500 loss=1.629192 lr=0.005540 Epoch[104] Batch [0099]/[1879] Speed: 186.151609 samples/sec accuracy=60.296875 loss=1.607355 lr=0.005538 Epoch[104] Batch [0149]/[1879] Speed: 197.334651 samples/sec accuracy=60.052083 loss=1.622545 lr=0.005535 Epoch[104] Batch [0199]/[1879] Speed: 176.579229 samples/sec accuracy=60.082031 loss=1.626524 lr=0.005533 Epoch[104] Batch [0249]/[1879] Speed: 190.058787 samples/sec accuracy=60.143750 loss=1.623908 lr=0.005531 Epoch[104] Batch [0299]/[1879] Speed: 180.764528 samples/sec accuracy=60.026042 loss=1.630369 lr=0.005528 Epoch[104] Batch [0349]/[1879] Speed: 200.189007 samples/sec accuracy=59.977679 loss=1.632589 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Speed: 174.161246 samples/sec accuracy=59.990809 loss=1.638319 lr=0.005502 Epoch[104] Batch [0899]/[1879] Speed: 192.282582 samples/sec accuracy=60.006944 loss=1.638214 lr=0.005499 Epoch[104] Batch [0949]/[1879] Speed: 183.860249 samples/sec accuracy=60.030428 loss=1.637298 lr=0.005497 Epoch[104] Batch [0999]/[1879] Speed: 177.297054 samples/sec accuracy=60.002344 loss=1.638297 lr=0.005494 Epoch[104] Batch [1049]/[1879] Speed: 192.420275 samples/sec accuracy=60.052827 loss=1.637247 lr=0.005492 Epoch[104] Batch [1099]/[1879] Speed: 181.794068 samples/sec accuracy=60.033381 loss=1.638181 lr=0.005490 Epoch[104] Batch [1149]/[1879] Speed: 178.196245 samples/sec accuracy=59.997283 loss=1.638838 lr=0.005487 Epoch[104] Batch [1199]/[1879] Speed: 196.919597 samples/sec accuracy=60.003255 loss=1.639540 lr=0.005485 Epoch[104] Batch [1249]/[1879] Speed: 166.704666 samples/sec accuracy=59.980000 loss=1.640593 lr=0.005482 Epoch[104] Batch [1299]/[1879] Speed: 204.284737 samples/sec accuracy=59.996995 loss=1.640228 lr=0.005480 Epoch[104] Batch [1349]/[1879] Speed: 198.093597 samples/sec accuracy=59.984375 loss=1.641671 lr=0.005477 Epoch[104] Batch [1399]/[1879] Speed: 175.085298 samples/sec accuracy=59.959821 loss=1.643043 lr=0.005475 Epoch[104] Batch [1449]/[1879] Speed: 191.234207 samples/sec accuracy=59.914332 loss=1.644689 lr=0.005473 Epoch[104] Batch [1499]/[1879] Speed: 184.236168 samples/sec accuracy=59.894792 loss=1.645088 lr=0.005470 Epoch[104] Batch [1549]/[1879] Speed: 184.073735 samples/sec accuracy=59.873992 loss=1.646310 lr=0.005468 Epoch[104] Batch [1599]/[1879] Speed: 201.091450 samples/sec accuracy=59.868652 loss=1.647165 lr=0.005465 Epoch[104] Batch [1649]/[1879] Speed: 179.245080 samples/sec accuracy=59.859848 loss=1.647829 lr=0.005463 Epoch[104] Batch [1699]/[1879] Speed: 187.014493 samples/sec accuracy=59.832261 loss=1.648507 lr=0.005460 Epoch[104] Batch [1749]/[1879] Speed: 182.647766 samples/sec accuracy=59.797321 loss=1.649450 lr=0.005458 Epoch[104] Batch [1799]/[1879] Speed: 179.044871 samples/sec accuracy=59.777778 loss=1.650652 lr=0.005456 Epoch[104] Batch [1849]/[1879] Speed: 195.143302 samples/sec accuracy=59.764780 loss=1.652444 lr=0.005453 Batch [0049]/[0151]: acc-top1=46.062500 acc-top5=70.031250 Batch [0099]/[0151]: acc-top1=49.445312 acc-top5=72.562500 Batch [0149]/[0151]: acc-top1=48.583333 acc-top5=72.562500 [Epoch 104] training: accuracy=59.758349 loss=1.652284 [Epoch 104] speed: 184 samples/sec time cost: 1416.352840 [Epoch 104] validation: acc-top1=48.566846 acc-top5=72.557947 loss=2.296398 Epoch[105] Batch [0049]/[1880] Speed: 132.151478 samples/sec accuracy=61.281250 loss=1.602215 lr=0.005449 Epoch[105] Batch [0099]/[1880] Speed: 197.610558 samples/sec accuracy=60.640625 loss=1.616649 lr=0.005447 Epoch[105] Batch [0149]/[1880] Speed: 175.258030 samples/sec accuracy=60.421875 loss=1.627367 lr=0.005445 Epoch[105] Batch [0199]/[1880] Speed: 200.816598 samples/sec accuracy=60.281250 loss=1.631438 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accuracy=60.187500 loss=1.629236 lr=0.005396 Epoch[105] Batch [1199]/[1880] Speed: 184.093635 samples/sec accuracy=60.163411 loss=1.629633 lr=0.005394 Epoch[105] Batch [1249]/[1880] Speed: 184.534291 samples/sec accuracy=60.104375 loss=1.630536 lr=0.005391 Epoch[105] Batch [1299]/[1880] Speed: 181.721378 samples/sec accuracy=60.058293 loss=1.632493 lr=0.005389 Epoch[105] Batch [1349]/[1880] Speed: 193.725953 samples/sec accuracy=60.029514 loss=1.633164 lr=0.005386 Epoch[105] Batch [1399]/[1880] Speed: 172.496735 samples/sec accuracy=60.022879 loss=1.634201 lr=0.005384 Epoch[105] Batch [1449]/[1880] Speed: 205.533892 samples/sec accuracy=60.017780 loss=1.635341 lr=0.005382 Epoch[105] Batch [1499]/[1880] Speed: 165.356715 samples/sec accuracy=59.980729 loss=1.636295 lr=0.005379 Epoch[105] Batch [1549]/[1880] Speed: 208.058169 samples/sec accuracy=60.006552 loss=1.636358 lr=0.005377 Epoch[105] Batch [1599]/[1880] Speed: 173.088789 samples/sec accuracy=59.966309 loss=1.637974 lr=0.005374 Epoch[105] Batch [1649]/[1880] Speed: 190.928323 samples/sec accuracy=59.915246 loss=1.639006 lr=0.005372 Epoch[105] Batch [1699]/[1880] Speed: 195.992277 samples/sec accuracy=59.926471 loss=1.638422 lr=0.005369 Epoch[105] Batch [1749]/[1880] Speed: 178.435849 samples/sec accuracy=59.904018 loss=1.639548 lr=0.005367 Epoch[105] Batch [1799]/[1880] Speed: 201.938138 samples/sec accuracy=59.884983 loss=1.640630 lr=0.005365 Epoch[105] Batch [1849]/[1880] Speed: 171.519523 samples/sec accuracy=59.882179 loss=1.640437 lr=0.005362 Batch [0049]/[0151]: acc-top1=45.687500 acc-top5=70.406250 Batch [0099]/[0151]: acc-top1=49.148438 acc-top5=72.859375 Batch [0149]/[0151]: acc-top1=48.442708 acc-top5=72.729167 [Epoch 105] training: accuracy=59.862450 loss=1.641557 [Epoch 105] speed: 184 samples/sec time cost: 1416.601192 [Epoch 105] validation: acc-top1=48.432326 acc-top5=72.702815 loss=2.296424 Epoch[106] Batch [0049]/[1880] Speed: 134.682410 samples/sec accuracy=60.640625 loss=1.596985 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accuracy=60.193750 loss=1.623245 lr=0.005312 Epoch[106] Batch [1049]/[1880] Speed: 176.434444 samples/sec accuracy=60.182292 loss=1.623817 lr=0.005310 Epoch[106] Batch [1099]/[1880] Speed: 199.082532 samples/sec accuracy=60.134233 loss=1.626453 lr=0.005307 Epoch[106] Batch [1149]/[1880] Speed: 162.402561 samples/sec accuracy=60.112772 loss=1.627441 lr=0.005305 Epoch[106] Batch [1199]/[1880] Speed: 206.814372 samples/sec accuracy=60.143229 loss=1.626125 lr=0.005303 Epoch[106] Batch [1249]/[1880] Speed: 186.554472 samples/sec accuracy=60.095000 loss=1.627868 lr=0.005300 Epoch[106] Batch [1299]/[1880] Speed: 174.292796 samples/sec accuracy=60.065505 loss=1.629368 lr=0.005298 Epoch[106] Batch [1349]/[1880] Speed: 192.775183 samples/sec accuracy=60.041667 loss=1.630631 lr=0.005295 Epoch[106] Batch [1399]/[1880] Speed: 185.997363 samples/sec accuracy=60.036830 loss=1.630932 lr=0.005293 Epoch[106] Batch [1449]/[1880] Speed: 176.700270 samples/sec accuracy=60.046875 loss=1.630037 lr=0.005290 Epoch[106] Batch [1499]/[1880] Speed: 200.045012 samples/sec accuracy=60.044271 loss=1.629630 lr=0.005288 Epoch[106] Batch [1549]/[1880] Speed: 176.041491 samples/sec accuracy=60.022681 loss=1.630393 lr=0.005286 Epoch[106] Batch [1599]/[1880] Speed: 193.822632 samples/sec accuracy=60.040039 loss=1.629909 lr=0.005283 Epoch[106] Batch [1649]/[1880] Speed: 172.245719 samples/sec accuracy=60.049716 loss=1.630200 lr=0.005281 Epoch[106] Batch [1699]/[1880] Speed: 193.759290 samples/sec accuracy=60.028493 loss=1.631266 lr=0.005278 Epoch[106] Batch [1749]/[1880] Speed: 173.785088 samples/sec accuracy=60.017411 loss=1.631951 lr=0.005276 Epoch[106] Batch [1799]/[1880] Speed: 202.629647 samples/sec accuracy=59.997396 loss=1.632941 lr=0.005273 Epoch[106] Batch [1849]/[1880] Speed: 176.117211 samples/sec accuracy=59.992399 loss=1.632939 lr=0.005271 Batch [0049]/[0151]: acc-top1=46.046875 acc-top5=70.375000 Batch [0099]/[0151]: acc-top1=49.734375 acc-top5=72.664062 Batch [0149]/[0151]: acc-top1=48.895833 acc-top5=72.744792 [Epoch 106] training: accuracy=59.994598 loss=1.632701 [Epoch 106] speed: 184 samples/sec time cost: 1417.893019 [Epoch 106] validation: acc-top1=48.820364 acc-top5=72.697641 loss=2.287181 Epoch[107] Batch [0049]/[1880] Speed: 135.979010 samples/sec accuracy=60.437500 loss=1.614792 lr=0.005267 Epoch[107] Batch [0099]/[1880] Speed: 187.778813 samples/sec accuracy=60.843750 loss=1.605788 lr=0.005265 Epoch[107] Batch [0149]/[1880] Speed: 193.425926 samples/sec accuracy=60.916667 loss=1.605754 lr=0.005262 Epoch[107] Batch [0199]/[1880] Speed: 169.723838 samples/sec accuracy=60.714844 loss=1.604108 lr=0.005260 Epoch[107] Batch [0249]/[1880] Speed: 196.365371 samples/sec accuracy=60.834375 loss=1.598139 lr=0.005257 Epoch[107] Batch [0299]/[1880] Speed: 177.751266 samples/sec accuracy=60.841146 loss=1.598173 lr=0.005255 Epoch[107] Batch [0349]/[1880] Speed: 191.672496 samples/sec accuracy=60.906250 loss=1.597123 lr=0.005253 Epoch[107] Batch [0399]/[1880] Speed: 197.901190 samples/sec accuracy=60.898438 loss=1.595799 lr=0.005250 Epoch[107] Batch [0449]/[1880] Speed: 177.282125 samples/sec accuracy=60.869792 loss=1.596650 lr=0.005248 Epoch[107] Batch [0499]/[1880] Speed: 187.435679 samples/sec accuracy=60.853125 loss=1.598232 lr=0.005245 Epoch[107] Batch [0549]/[1880] Speed: 187.656036 samples/sec accuracy=60.748580 loss=1.600564 lr=0.005243 Epoch[107] Batch [0599]/[1880] Speed: 171.485940 samples/sec accuracy=60.791667 loss=1.599886 lr=0.005240 Epoch[107] Batch [0649]/[1880] Speed: 202.570315 samples/sec accuracy=60.729567 loss=1.603474 lr=0.005238 Epoch[107] Batch [0699]/[1880] Speed: 176.985980 samples/sec accuracy=60.712054 loss=1.605503 lr=0.005236 Epoch[107] Batch [0749]/[1880] Speed: 192.977718 samples/sec accuracy=60.658333 loss=1.607977 lr=0.005233 Epoch[107] Batch [0799]/[1880] Speed: 181.366519 samples/sec accuracy=60.692383 loss=1.607574 lr=0.005231 Epoch[107] Batch [0849]/[1880] Speed: 177.464219 samples/sec accuracy=60.681985 loss=1.608678 lr=0.005228 Epoch[107] Batch [0899]/[1880] Speed: 202.657652 samples/sec accuracy=60.667535 loss=1.610218 lr=0.005226 Epoch[107] Batch [0949]/[1880] Speed: 171.180771 samples/sec accuracy=60.641447 loss=1.611596 lr=0.005223 Epoch[107] Batch [0999]/[1880] Speed: 187.550806 samples/sec accuracy=60.620312 loss=1.612788 lr=0.005221 Epoch[107] Batch [1049]/[1880] Speed: 204.018788 samples/sec accuracy=60.610863 loss=1.612054 lr=0.005219 Epoch[107] Batch [1099]/[1880] Speed: 166.169504 samples/sec accuracy=60.600142 loss=1.613122 lr=0.005216 Epoch[107] Batch [1149]/[1880] Speed: 200.236681 samples/sec accuracy=60.577446 loss=1.613975 lr=0.005214 Epoch[107] Batch [1199]/[1880] Speed: 172.354618 samples/sec accuracy=60.567057 loss=1.613072 lr=0.005211 Epoch[107] Batch [1249]/[1880] Speed: 192.263779 samples/sec accuracy=60.563750 loss=1.612480 lr=0.005209 Epoch[107] Batch [1299]/[1880] Speed: 193.655907 samples/sec accuracy=60.558894 loss=1.612979 lr=0.005206 Epoch[107] Batch [1349]/[1880] Speed: 171.978426 samples/sec accuracy=60.564815 loss=1.613309 lr=0.005204 Epoch[107] Batch [1399]/[1880] Speed: 199.383746 samples/sec accuracy=60.594308 loss=1.613386 lr=0.005202 Epoch[107] Batch [1449]/[1880] Speed: 197.463394 samples/sec accuracy=60.580280 loss=1.614155 lr=0.005199 Epoch[107] Batch [1499]/[1880] Speed: 174.318841 samples/sec accuracy=60.585938 loss=1.613958 lr=0.005197 Epoch[107] Batch [1549]/[1880] Speed: 189.071190 samples/sec accuracy=60.569052 loss=1.614633 lr=0.005194 Epoch[107] Batch [1599]/[1880] Speed: 194.629662 samples/sec accuracy=60.550781 loss=1.615990 lr=0.005192 Epoch[107] Batch [1649]/[1880] Speed: 178.620876 samples/sec accuracy=60.524621 loss=1.618030 lr=0.005189 Epoch[107] Batch [1699]/[1880] Speed: 183.891437 samples/sec accuracy=60.522518 loss=1.618526 lr=0.005187 Epoch[107] Batch [1749]/[1880] Speed: 195.095393 samples/sec accuracy=60.519196 loss=1.618897 lr=0.005185 Epoch[107] Batch [1799]/[1880] Speed: 166.925222 samples/sec accuracy=60.523003 loss=1.617909 lr=0.005182 Epoch[107] Batch [1849]/[1880] Speed: 202.855404 samples/sec accuracy=60.509713 loss=1.617665 lr=0.005180 Batch [0049]/[0151]: acc-top1=46.968750 acc-top5=71.421875 Batch [0099]/[0151]: acc-top1=50.101562 acc-top5=73.375000 Batch [0149]/[0151]: acc-top1=49.286458 acc-top5=73.395833 [Epoch 107] training: accuracy=60.492437 loss=1.617725 [Epoch 107] speed: 184 samples/sec time cost: 1417.637088 [Epoch 107] validation: acc-top1=49.208402 acc-top5=73.349545 loss=2.250256 Epoch[108] Batch [0049]/[1880] Speed: 131.300727 samples/sec accuracy=61.390625 loss=1.575466 lr=0.005176 Epoch[108] Batch [0099]/[1880] Speed: 203.142344 samples/sec accuracy=61.437500 loss=1.581892 lr=0.005173 Epoch[108] Batch [0149]/[1880] Speed: 186.365798 samples/sec accuracy=61.192708 loss=1.583424 lr=0.005171 Epoch[108] Batch [0199]/[1880] Speed: 176.169320 samples/sec accuracy=61.433594 loss=1.573432 lr=0.005169 Epoch[108] Batch [0249]/[1880] 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accuracy=61.052455 loss=1.584760 lr=0.005144 Epoch[108] Batch [0749]/[1880] Speed: 199.757458 samples/sec accuracy=61.068750 loss=1.584974 lr=0.005142 Epoch[108] Batch [0799]/[1880] Speed: 173.750995 samples/sec accuracy=61.104492 loss=1.585358 lr=0.005139 Epoch[108] Batch [0849]/[1880] Speed: 183.206273 samples/sec accuracy=61.094669 loss=1.586168 lr=0.005137 Epoch[108] Batch [0899]/[1880] Speed: 200.269764 samples/sec accuracy=61.032118 loss=1.587775 lr=0.005135 Epoch[108] Batch [0949]/[1880] Speed: 173.913937 samples/sec accuracy=60.957237 loss=1.590000 lr=0.005132 Epoch[108] Batch [0999]/[1880] Speed: 193.501611 samples/sec accuracy=60.953906 loss=1.591106 lr=0.005130 Epoch[108] Batch [1049]/[1880] Speed: 183.844054 samples/sec accuracy=60.953869 loss=1.592367 lr=0.005127 Epoch[108] Batch [1099]/[1880] Speed: 177.600771 samples/sec accuracy=60.951705 loss=1.593041 lr=0.005125 Epoch[108] Batch [1149]/[1880] Speed: 184.732303 samples/sec accuracy=60.961277 loss=1.592891 lr=0.005122 Epoch[108] Batch [1199]/[1880] Speed: 199.437429 samples/sec accuracy=60.955729 loss=1.593089 lr=0.005120 Epoch[108] Batch [1249]/[1880] Speed: 183.504730 samples/sec accuracy=60.891875 loss=1.596236 lr=0.005118 Epoch[108] Batch [1299]/[1880] Speed: 183.769542 samples/sec accuracy=60.852764 loss=1.598641 lr=0.005115 Epoch[108] Batch [1349]/[1880] Speed: 185.607726 samples/sec accuracy=60.846644 loss=1.598396 lr=0.005113 Epoch[108] Batch [1399]/[1880] Speed: 188.520328 samples/sec accuracy=60.835938 loss=1.598747 lr=0.005110 Epoch[108] Batch [1449]/[1880] Speed: 171.075686 samples/sec accuracy=60.827047 loss=1.599125 lr=0.005108 Epoch[108] Batch [1499]/[1880] Speed: 203.747993 samples/sec accuracy=60.786979 loss=1.600474 lr=0.005105 Epoch[108] Batch [1549]/[1880] Speed: 182.229620 samples/sec accuracy=60.762097 loss=1.601947 lr=0.005103 Epoch[108] Batch [1599]/[1880] Speed: 189.416803 samples/sec accuracy=60.790527 loss=1.601373 lr=0.005101 Epoch[108] Batch [1649]/[1880] Speed: 172.529555 samples/sec accuracy=60.770360 loss=1.602443 lr=0.005098 Epoch[108] Batch [1699]/[1880] Speed: 190.716801 samples/sec accuracy=60.743107 loss=1.603577 lr=0.005096 Epoch[108] Batch [1749]/[1880] Speed: 200.254984 samples/sec accuracy=60.725446 loss=1.604192 lr=0.005093 Epoch[108] Batch [1799]/[1880] Speed: 169.552621 samples/sec accuracy=60.710069 loss=1.604193 lr=0.005091 Epoch[108] Batch [1849]/[1880] Speed: 191.348870 samples/sec accuracy=60.706081 loss=1.603777 lr=0.005088 Batch [0049]/[0151]: acc-top1=45.296875 acc-top5=70.234375 Batch [0099]/[0151]: acc-top1=49.476562 acc-top5=72.687500 Batch [0149]/[0151]: acc-top1=48.838542 acc-top5=72.739583 [Epoch 108] training: accuracy=60.685256 loss=1.604746 [Epoch 108] speed: 184 samples/sec time cost: 1420.551680 [Epoch 108] validation: acc-top1=48.815190 acc-top5=72.728684 loss=2.281810 Epoch[109] Batch [0049]/[1880] Speed: 131.920359 samples/sec accuracy=60.875000 loss=1.585537 lr=0.005084 Epoch[109] Batch [0099]/[1880] 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Epoch[109] Batch [1049]/[1880] Speed: 186.694902 samples/sec accuracy=61.037946 loss=1.584652 lr=0.005036 Epoch[109] Batch [1099]/[1880] Speed: 195.223527 samples/sec accuracy=61.019176 loss=1.585277 lr=0.005033 Epoch[109] Batch [1149]/[1880] Speed: 182.700264 samples/sec accuracy=60.977582 loss=1.586161 lr=0.005031 Epoch[109] Batch [1199]/[1880] Speed: 184.731817 samples/sec accuracy=60.977865 loss=1.587176 lr=0.005029 Epoch[109] Batch [1249]/[1880] Speed: 181.697790 samples/sec accuracy=60.951875 loss=1.588242 lr=0.005026 Epoch[109] Batch [1299]/[1880] Speed: 194.687972 samples/sec accuracy=60.980769 loss=1.587485 lr=0.005024 Epoch[109] Batch [1349]/[1880] Speed: 180.994933 samples/sec accuracy=61.001157 loss=1.588139 lr=0.005021 Epoch[109] Batch [1399]/[1880] Speed: 190.610718 samples/sec accuracy=61.007812 loss=1.588577 lr=0.005019 Epoch[109] Batch [1449]/[1880] Speed: 192.967262 samples/sec accuracy=60.979526 loss=1.589426 lr=0.005016 Epoch[109] Batch [1499]/[1880] Speed: 178.765008 samples/sec accuracy=60.985937 loss=1.589212 lr=0.005014 Epoch[109] Batch [1549]/[1880] Speed: 192.988491 samples/sec accuracy=60.980343 loss=1.589972 lr=0.005012 Epoch[109] Batch [1599]/[1880] Speed: 176.010104 samples/sec accuracy=60.974121 loss=1.590618 lr=0.005009 Epoch[109] Batch [1649]/[1880] Speed: 182.531925 samples/sec accuracy=60.947443 loss=1.591531 lr=0.005007 Epoch[109] Batch [1699]/[1880] Speed: 187.272191 samples/sec accuracy=60.946232 loss=1.591516 lr=0.005004 Epoch[109] Batch [1749]/[1880] Speed: 200.395005 samples/sec accuracy=60.930357 loss=1.592422 lr=0.005002 Epoch[109] Batch [1799]/[1880] Speed: 181.529597 samples/sec accuracy=60.909288 loss=1.594076 lr=0.004999 Epoch[109] Batch [1849]/[1880] Speed: 180.956999 samples/sec accuracy=60.913429 loss=1.594442 lr=0.004997 Batch [0049]/[0151]: acc-top1=45.578125 acc-top5=70.578125 Batch [0099]/[0151]: acc-top1=49.406250 acc-top5=72.992188 Batch [0149]/[0151]: acc-top1=48.557292 acc-top5=72.718750 [Epoch 109] training: accuracy=60.910489 loss=1.594950 [Epoch 109] speed: 185 samples/sec time cost: 1416.053518 [Epoch 109] validation: acc-top1=48.504760 acc-top5=72.697641 loss=2.293405 Epoch[110] Batch [0049]/[1879] Speed: 133.426062 samples/sec accuracy=62.312500 loss=1.548864 lr=0.004993 Epoch[110] Batch [0099]/[1879] Speed: 198.629354 samples/sec accuracy=62.054688 loss=1.549919 lr=0.004991 Epoch[110] Batch [0149]/[1879] Speed: 180.735692 samples/sec accuracy=62.098958 loss=1.544414 lr=0.004988 Epoch[110] Batch [0199]/[1879] Speed: 176.284077 samples/sec accuracy=61.792969 loss=1.556372 lr=0.004986 Epoch[110] Batch [0249]/[1879] Speed: 200.730920 samples/sec accuracy=61.806250 loss=1.552315 lr=0.004983 Epoch[110] Batch [0299]/[1879] Speed: 171.021047 samples/sec accuracy=61.744792 loss=1.556303 lr=0.004981 Epoch[110] Batch [0349]/[1879] Speed: 192.887346 samples/sec accuracy=61.665179 loss=1.558172 lr=0.004979 Epoch[110] Batch [0399]/[1879] Speed: 190.970326 samples/sec accuracy=61.718750 loss=1.556527 lr=0.004976 Epoch[110] Batch [0449]/[1879] Speed: 174.472556 samples/sec accuracy=61.675347 loss=1.555472 lr=0.004974 Epoch[110] Batch [0499]/[1879] Speed: 199.268344 samples/sec accuracy=61.721875 loss=1.557460 lr=0.004971 Epoch[110] Batch [0549]/[1879] Speed: 188.524394 samples/sec accuracy=61.630682 loss=1.562180 lr=0.004969 Epoch[110] Batch [0599]/[1879] Speed: 172.199194 samples/sec accuracy=61.683594 loss=1.561502 lr=0.004966 Epoch[110] Batch [0649]/[1879] Speed: 202.247037 samples/sec accuracy=61.757212 loss=1.557976 lr=0.004964 Epoch[110] Batch [0699]/[1879] Speed: 170.336598 samples/sec accuracy=61.733259 loss=1.558522 lr=0.004962 Epoch[110] Batch [0749]/[1879] Speed: 206.443449 samples/sec accuracy=61.705208 loss=1.558670 lr=0.004959 Epoch[110] Batch [0799]/[1879] Speed: 173.780533 samples/sec accuracy=61.628906 loss=1.561934 lr=0.004957 Epoch[110] Batch [0849]/[1879] Speed: 188.706676 samples/sec accuracy=61.625919 loss=1.561788 lr=0.004954 Epoch[110] Batch 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accuracy=61.543981 loss=1.568937 lr=0.004930 Epoch[110] Batch [1399]/[1879] Speed: 198.959362 samples/sec accuracy=61.506138 loss=1.570084 lr=0.004928 Epoch[110] Batch [1449]/[1879] Speed: 179.630488 samples/sec accuracy=61.487608 loss=1.571974 lr=0.004925 Epoch[110] Batch [1499]/[1879] Speed: 183.724685 samples/sec accuracy=61.470312 loss=1.572701 lr=0.004923 Epoch[110] Batch [1549]/[1879] Speed: 205.780356 samples/sec accuracy=61.456149 loss=1.573273 lr=0.004920 Epoch[110] Batch [1599]/[1879] Speed: 164.758914 samples/sec accuracy=61.435547 loss=1.574286 lr=0.004918 Epoch[110] Batch [1649]/[1879] Speed: 187.911822 samples/sec accuracy=61.419981 loss=1.575783 lr=0.004915 Epoch[110] Batch [1699]/[1879] Speed: 199.783759 samples/sec accuracy=61.434283 loss=1.575478 lr=0.004913 Epoch[110] Batch [1749]/[1879] Speed: 186.232456 samples/sec accuracy=61.416518 loss=1.575952 lr=0.004911 Epoch[110] Batch [1799]/[1879] Speed: 176.787269 samples/sec accuracy=61.406250 loss=1.576565 lr=0.004908 Epoch[110] Batch [1849]/[1879] Speed: 187.451095 samples/sec accuracy=61.370777 loss=1.577893 lr=0.004906 Batch [0049]/[0151]: acc-top1=45.765625 acc-top5=71.125000 Batch [0099]/[0151]: acc-top1=49.554688 acc-top5=73.273438 Batch [0149]/[0151]: acc-top1=48.838542 acc-top5=72.937500 [Epoch 110] training: accuracy=61.341222 loss=1.578935 [Epoch 110] speed: 184 samples/sec time cost: 1416.189614 [Epoch 110] validation: acc-top1=48.794495 acc-top5=72.904594 loss=2.274416 Epoch[111] Batch [0049]/[1880] Speed: 129.197866 samples/sec accuracy=62.703125 loss=1.529323 lr=0.004902 Epoch[111] Batch [0099]/[1880] Speed: 193.987718 samples/sec accuracy=62.742188 loss=1.530069 lr=0.004899 Epoch[111] Batch [0149]/[1880] Speed: 193.107308 samples/sec accuracy=62.671875 loss=1.534058 lr=0.004897 Epoch[111] Batch [0199]/[1880] Speed: 182.896507 samples/sec accuracy=62.562500 loss=1.539325 lr=0.004895 Epoch[111] Batch [0249]/[1880] Speed: 182.588370 samples/sec accuracy=62.693750 loss=1.532278 lr=0.004892 Epoch[111] Batch [0299]/[1880] Speed: 190.851631 samples/sec accuracy=62.648438 loss=1.529739 lr=0.004890 Epoch[111] Batch [0349]/[1880] Speed: 164.073885 samples/sec accuracy=62.600446 loss=1.532429 lr=0.004887 Epoch[111] Batch [0399]/[1880] Speed: 205.982705 samples/sec accuracy=62.392578 loss=1.540798 lr=0.004885 Epoch[111] Batch [0449]/[1880] Speed: 188.508941 samples/sec accuracy=62.383681 loss=1.540321 lr=0.004882 Epoch[111] Batch [0499]/[1880] Speed: 176.557264 samples/sec accuracy=62.410937 loss=1.541255 lr=0.004880 Epoch[111] Batch [0549]/[1880] Speed: 198.971411 samples/sec accuracy=62.230114 loss=1.546847 lr=0.004878 Epoch[111] Batch [0599]/[1880] Speed: 185.338564 samples/sec accuracy=62.118490 loss=1.548752 lr=0.004875 Epoch[111] Batch [0649]/[1880] Speed: 177.774930 samples/sec accuracy=62.057692 loss=1.551175 lr=0.004873 Epoch[111] Batch [0699]/[1880] Speed: 206.251810 samples/sec accuracy=62.122768 loss=1.548416 lr=0.004870 Epoch[111] Batch [0749]/[1880] Speed: 166.672423 samples/sec accuracy=62.096875 loss=1.548932 lr=0.004868 Epoch[111] Batch [0799]/[1880] Speed: 199.802357 samples/sec accuracy=62.076172 loss=1.547976 lr=0.004865 Epoch[111] Batch [0849]/[1880] Speed: 179.641094 samples/sec accuracy=62.039522 loss=1.548918 lr=0.004863 Epoch[111] Batch [0899]/[1880] Speed: 194.780696 samples/sec accuracy=61.967014 loss=1.551873 lr=0.004861 Epoch[111] Batch [0949]/[1880] Speed: 177.012936 samples/sec accuracy=61.870066 loss=1.554441 lr=0.004858 Epoch[111] Batch [0999]/[1880] Speed: 189.890954 samples/sec accuracy=61.856250 loss=1.554569 lr=0.004856 Epoch[111] Batch [1049]/[1880] Speed: 191.209292 samples/sec accuracy=61.870536 loss=1.554858 lr=0.004853 Epoch[111] Batch [1099]/[1880] Speed: 183.794055 samples/sec accuracy=61.838778 loss=1.555216 lr=0.004851 Epoch[111] Batch [1149]/[1880] Speed: 198.679583 samples/sec accuracy=61.787364 loss=1.557080 lr=0.004848 Epoch[111] Batch [1199]/[1880] Speed: 169.932451 samples/sec accuracy=61.742188 loss=1.558698 lr=0.004846 Epoch[111] Batch [1249]/[1880] Speed: 183.275994 samples/sec accuracy=61.731875 loss=1.559497 lr=0.004843 Epoch[111] Batch [1299]/[1880] Speed: 201.459122 samples/sec accuracy=61.753606 loss=1.558528 lr=0.004841 Epoch[111] Batch [1349]/[1880] Speed: 182.221909 samples/sec accuracy=61.761574 loss=1.559060 lr=0.004839 Epoch[111] Batch [1399]/[1880] Speed: 186.532785 samples/sec accuracy=61.781808 loss=1.558515 lr=0.004836 Epoch[111] Batch [1449]/[1880] Speed: 183.635303 samples/sec accuracy=61.743534 loss=1.560996 lr=0.004834 Epoch[111] Batch [1499]/[1880] Speed: 180.637216 samples/sec accuracy=61.747396 loss=1.561142 lr=0.004831 Epoch[111] Batch [1549]/[1880] Speed: 195.596019 samples/sec accuracy=61.730343 loss=1.562718 lr=0.004829 Epoch[111] Batch [1599]/[1880] Speed: 194.115155 samples/sec accuracy=61.698242 loss=1.563736 lr=0.004826 Epoch[111] Batch [1649]/[1880] Speed: 165.416360 samples/sec accuracy=61.653409 loss=1.566914 lr=0.004824 Epoch[111] Batch [1699]/[1880] Speed: 205.104488 samples/sec accuracy=61.623621 loss=1.568114 lr=0.004822 Epoch[111] Batch [1749]/[1880] Speed: 173.072847 samples/sec accuracy=61.593304 loss=1.569216 lr=0.004819 Epoch[111] Batch [1799]/[1880] Speed: 189.748276 samples/sec accuracy=61.546441 loss=1.570622 lr=0.004817 Epoch[111] Batch [1849]/[1880] Speed: 204.800536 samples/sec accuracy=61.507601 loss=1.572686 lr=0.004814 Batch [0049]/[0151]: acc-top1=46.500000 acc-top5=70.859375 Batch [0099]/[0151]: acc-top1=50.234375 acc-top5=73.148438 Batch [0149]/[0151]: acc-top1=49.098958 acc-top5=72.953125 [Epoch 111] training: accuracy=61.495180 loss=1.572977 [Epoch 111] speed: 184 samples/sec time cost: 1417.511118 [Epoch 111] validation: acc-top1=49.037666 acc-top5=72.914942 loss=2.260987 Epoch[112] Batch [0049]/[1880] Speed: 132.593599 samples/sec accuracy=62.015625 loss=1.523338 lr=0.004810 Epoch[112] Batch [0099]/[1880] Speed: 199.296356 samples/sec accuracy=62.492187 loss=1.510205 lr=0.004808 Epoch[112] Batch [0149]/[1880] Speed: 178.973187 samples/sec accuracy=62.416667 loss=1.513660 lr=0.004806 Epoch[112] Batch [0199]/[1880] Speed: 177.427666 samples/sec accuracy=62.257812 loss=1.517702 lr=0.004803 Epoch[112] Batch [0249]/[1880] Speed: 195.628572 samples/sec accuracy=62.181250 loss=1.523013 lr=0.004801 Epoch[112] Batch [0299]/[1880] Speed: 195.729663 samples/sec accuracy=61.958333 loss=1.535448 lr=0.004798 Epoch[112] Batch [0349]/[1880] Speed: 178.096072 samples/sec accuracy=61.834821 loss=1.541953 lr=0.004796 Epoch[112] Batch [0399]/[1880] Speed: 192.555666 samples/sec accuracy=61.851562 loss=1.541455 lr=0.004793 Epoch[112] Batch [0449]/[1880] Speed: 173.046434 samples/sec accuracy=61.885417 loss=1.542528 lr=0.004791 Epoch[112] Batch [0499]/[1880] Speed: 195.419702 samples/sec accuracy=61.934375 loss=1.543109 lr=0.004789 Epoch[112] Batch [0549]/[1880] Speed: 187.813235 samples/sec accuracy=61.947443 loss=1.545358 lr=0.004786 Epoch[112] Batch [0599]/[1880] Speed: 189.794473 samples/sec accuracy=61.901042 loss=1.548054 lr=0.004784 Epoch[112] Batch [0649]/[1880] Speed: 180.269014 samples/sec accuracy=62.002404 loss=1.545308 lr=0.004781 Epoch[112] Batch [0699]/[1880] Speed: 181.643993 samples/sec accuracy=61.964286 loss=1.546639 lr=0.004779 Epoch[112] Batch [0749]/[1880] Speed: 191.797532 samples/sec accuracy=61.941667 loss=1.549756 lr=0.004776 Epoch[112] Batch [0799]/[1880] Speed: 183.772402 samples/sec accuracy=61.927734 loss=1.550406 lr=0.004774 Epoch[112] Batch [0849]/[1880] Speed: 178.572603 samples/sec accuracy=61.898897 loss=1.550066 lr=0.004772 Epoch[112] Batch [0899]/[1880] Speed: 202.118601 samples/sec accuracy=61.868924 loss=1.551581 lr=0.004769 Epoch[112] Batch [0949]/[1880] Speed: 187.440922 samples/sec accuracy=61.879934 loss=1.549783 lr=0.004767 Epoch[112] Batch [0999]/[1880] Speed: 175.822368 samples/sec accuracy=61.884375 loss=1.551002 lr=0.004764 Epoch[112] Batch [1049]/[1880] Speed: 189.533746 samples/sec accuracy=61.869048 loss=1.551117 lr=0.004762 Epoch[112] Batch [1099]/[1880] Speed: 185.159426 samples/sec accuracy=61.876420 loss=1.550482 lr=0.004759 Epoch[112] Batch [1149]/[1880] Speed: 183.854828 samples/sec accuracy=61.925272 loss=1.549478 lr=0.004757 Epoch[112] Batch [1199]/[1880] Speed: 191.202849 samples/sec accuracy=61.938151 loss=1.549205 lr=0.004755 Epoch[112] Batch [1249]/[1880] Speed: 173.221259 samples/sec accuracy=61.912500 loss=1.550760 lr=0.004752 Epoch[112] Batch [1299]/[1880] Speed: 204.976597 samples/sec accuracy=61.875601 loss=1.552435 lr=0.004750 Epoch[112] Batch [1349]/[1880] Speed: 177.533835 samples/sec accuracy=61.827546 loss=1.554041 lr=0.004747 Epoch[112] Batch [1399]/[1880] Speed: 188.209589 samples/sec accuracy=61.822545 loss=1.554316 lr=0.004745 Epoch[112] Batch [1449]/[1880] Speed: 200.233704 samples/sec accuracy=61.836207 loss=1.554032 lr=0.004742 Epoch[112] Batch [1499]/[1880] Speed: 169.192702 samples/sec accuracy=61.790104 loss=1.556704 lr=0.004740 Epoch[112] Batch [1549]/[1880] Speed: 195.637414 samples/sec accuracy=61.783770 loss=1.557476 lr=0.004738 Epoch[112] Batch [1599]/[1880] Speed: 193.179924 samples/sec accuracy=61.792969 loss=1.557471 lr=0.004735 Epoch[112] Batch [1649]/[1880] Speed: 169.386557 samples/sec accuracy=61.800189 loss=1.556768 lr=0.004733 Epoch[112] Batch [1699]/[1880] Speed: 200.152552 samples/sec accuracy=61.773437 loss=1.557694 lr=0.004730 Epoch[112] Batch [1749]/[1880] Speed: 178.609328 samples/sec accuracy=61.759375 loss=1.558219 lr=0.004728 Epoch[112] Batch [1799]/[1880] Speed: 188.489735 samples/sec accuracy=61.707899 loss=1.560041 lr=0.004726 Epoch[112] Batch [1849]/[1880] Speed: 198.414159 samples/sec accuracy=61.708193 loss=1.560034 lr=0.004723 Batch [0049]/[0151]: acc-top1=45.890625 acc-top5=70.781250 Batch [0099]/[0151]: acc-top1=49.460938 acc-top5=72.945312 Batch [0149]/[0151]: acc-top1=48.885417 acc-top5=72.781250 [Epoch 112] training: accuracy=61.699219 loss=1.560238 [Epoch 112] speed: 184 samples/sec time cost: 1416.527724 [Epoch 112] validation: acc-top1=48.830712 acc-top5=72.739031 loss=2.284953 Epoch[113] Batch [0049]/[1880] Speed: 134.219005 samples/sec accuracy=62.531250 loss=1.515999 lr=0.004719 Epoch[113] Batch [0099]/[1880] Speed: 181.862290 samples/sec accuracy=62.390625 loss=1.532401 lr=0.004717 Epoch[113] Batch [0149]/[1880] Speed: 185.692268 samples/sec accuracy=62.218750 loss=1.533578 lr=0.004714 Epoch[113] Batch [0199]/[1880] Speed: 193.924453 samples/sec accuracy=62.339844 loss=1.531068 lr=0.004712 Epoch[113] Batch [0249]/[1880] Speed: 185.680068 samples/sec accuracy=62.412500 loss=1.528591 lr=0.004709 Epoch[113] Batch [0299]/[1880] Speed: 194.977350 samples/sec accuracy=62.619792 loss=1.521077 lr=0.004707 Epoch[113] Batch [0349]/[1880] Speed: 175.121833 samples/sec accuracy=62.515625 loss=1.522114 lr=0.004705 Epoch[113] Batch [0399]/[1880] Speed: 195.369449 samples/sec accuracy=62.496094 loss=1.520075 lr=0.004702 Epoch[113] Batch [0449]/[1880] Speed: 172.800819 samples/sec accuracy=62.460069 loss=1.522417 lr=0.004700 Epoch[113] Batch [0499]/[1880] Speed: 206.905857 samples/sec accuracy=62.423437 loss=1.522618 lr=0.004697 Epoch[113] Batch [0549]/[1880] Speed: 169.640840 samples/sec accuracy=62.404830 loss=1.523213 lr=0.004695 Epoch[113] Batch [0599]/[1880] Speed: 204.135327 samples/sec accuracy=62.389323 loss=1.522764 lr=0.004693 Epoch[113] Batch [0649]/[1880] Speed: 168.879735 samples/sec accuracy=62.399038 loss=1.524894 lr=0.004690 Epoch[113] Batch [0699]/[1880] Speed: 190.017728 samples/sec accuracy=62.363839 loss=1.526980 lr=0.004688 Epoch[113] Batch [0749]/[1880] Speed: 198.308470 samples/sec accuracy=62.373958 loss=1.526302 lr=0.004685 Epoch[113] Batch [0799]/[1880] Speed: 169.578269 samples/sec accuracy=62.375977 loss=1.527482 lr=0.004683 Epoch[113] Batch [0849]/[1880] Speed: 199.282711 samples/sec accuracy=62.328125 loss=1.528683 lr=0.004680 Epoch[113] Batch [0899]/[1880] Speed: 187.312382 samples/sec accuracy=62.277778 loss=1.530841 lr=0.004678 Epoch[113] Batch [0949]/[1880] Speed: 176.647454 samples/sec accuracy=62.250822 loss=1.532500 lr=0.004676 Epoch[113] Batch [0999]/[1880] Speed: 199.481851 samples/sec accuracy=62.211719 loss=1.533019 lr=0.004673 Epoch[113] Batch [1049]/[1880] Speed: 170.362496 samples/sec accuracy=62.174107 loss=1.534689 lr=0.004671 Epoch[113] Batch [1099]/[1880] Speed: 199.906192 samples/sec accuracy=62.131392 loss=1.537227 lr=0.004668 Epoch[113] Batch [1149]/[1880] Speed: 193.988295 samples/sec accuracy=62.115489 loss=1.537357 lr=0.004666 Epoch[113] Batch [1199]/[1880] Speed: 173.128478 samples/sec accuracy=62.080729 loss=1.538263 lr=0.004663 Epoch[113] Batch [1249]/[1880] Speed: 189.325277 samples/sec accuracy=62.080625 loss=1.538617 lr=0.004661 Epoch[113] Batch [1299]/[1880] Speed: 188.458417 samples/sec accuracy=62.053486 loss=1.538898 lr=0.004659 Epoch[113] Batch [1349]/[1880] Speed: 176.087411 samples/sec accuracy=62.014468 loss=1.540766 lr=0.004656 Epoch[113] Batch [1399]/[1880] Speed: 193.330329 samples/sec accuracy=61.955357 loss=1.542223 lr=0.004654 Epoch[113] Batch [1449]/[1880] Speed: 194.769158 samples/sec accuracy=61.915948 loss=1.543856 lr=0.004651 Epoch[113] Batch [1499]/[1880] Speed: 174.035471 samples/sec accuracy=61.928125 loss=1.543781 lr=0.004649 Epoch[113] Batch [1549]/[1880] Speed: 186.029159 samples/sec accuracy=61.915323 loss=1.544218 lr=0.004646 Epoch[113] Batch [1599]/[1880] Speed: 180.049805 samples/sec accuracy=61.922363 loss=1.544207 lr=0.004644 Epoch[113] Batch [1649]/[1880] Speed: 195.167778 samples/sec accuracy=61.884470 loss=1.544986 lr=0.004642 Epoch[113] Batch [1699]/[1880] Speed: 185.728238 samples/sec accuracy=61.899816 loss=1.544973 lr=0.004639 Epoch[113] Batch [1749]/[1880] Speed: 182.508162 samples/sec accuracy=61.903571 loss=1.544851 lr=0.004637 Epoch[113] Batch [1799]/[1880] Speed: 191.257679 samples/sec accuracy=61.881944 loss=1.545089 lr=0.004634 Epoch[113] Batch [1849]/[1880] Speed: 198.537491 samples/sec accuracy=61.890203 loss=1.544924 lr=0.004632 Batch [0049]/[0151]: acc-top1=46.718750 acc-top5=71.890625 Batch [0099]/[0151]: acc-top1=50.523438 acc-top5=73.945312 Batch [0149]/[0151]: acc-top1=49.723958 acc-top5=73.770833 [Epoch 113] training: accuracy=61.869598 loss=1.546141 [Epoch 113] speed: 184 samples/sec time cost: 1417.382143 [Epoch 113] validation: acc-top1=49.668874 acc-top5=73.716887 loss=2.249529 Epoch[114] Batch [0049]/[1880] Speed: 138.072473 samples/sec accuracy=62.281250 loss=1.530249 lr=0.004628 Epoch[114] Batch [0099]/[1880] Speed: 182.090298 samples/sec accuracy=63.000000 loss=1.506579 lr=0.004626 Epoch[114] Batch [0149]/[1880] Speed: 183.622550 samples/sec accuracy=63.098958 loss=1.507995 lr=0.004623 Epoch[114] Batch [0199]/[1880] Speed: 181.355260 samples/sec accuracy=62.820312 loss=1.513033 lr=0.004621 Epoch[114] Batch [0249]/[1880] Speed: 192.354209 samples/sec accuracy=62.990625 loss=1.505088 lr=0.004618 Epoch[114] Batch [0299]/[1880] Speed: 183.916190 samples/sec accuracy=62.885417 loss=1.505287 lr=0.004616 Epoch[114] Batch [0349]/[1880] Speed: 186.287560 samples/sec accuracy=62.899554 loss=1.505636 lr=0.004613 Epoch[114] Batch [0399]/[1880] Speed: 182.704379 samples/sec accuracy=62.908203 loss=1.505148 lr=0.004611 Epoch[114] Batch [0449]/[1880] Speed: 194.969629 samples/sec accuracy=62.861111 loss=1.506133 lr=0.004609 Epoch[114] Batch [0499]/[1880] Speed: 179.489138 samples/sec accuracy=62.826563 loss=1.509144 lr=0.004606 Epoch[114] Batch [0549]/[1880] Speed: 186.721102 samples/sec accuracy=62.813920 loss=1.507490 lr=0.004604 Epoch[114] Batch [0599]/[1880] Speed: 191.501326 samples/sec accuracy=62.718750 loss=1.509819 lr=0.004601 Epoch[114] Batch [0649]/[1880] Speed: 170.253062 samples/sec accuracy=62.677885 loss=1.509817 lr=0.004599 Epoch[114] Batch [0699]/[1880] Speed: 200.835156 samples/sec accuracy=62.695312 loss=1.510504 lr=0.004597 Epoch[114] Batch [0749]/[1880] Speed: 180.674359 samples/sec accuracy=62.711458 loss=1.511993 lr=0.004594 Epoch[114] Batch [0799]/[1880] Speed: 189.869766 samples/sec accuracy=62.635742 loss=1.515695 lr=0.004592 Epoch[114] Batch [0849]/[1880] Speed: 169.204719 samples/sec accuracy=62.615809 loss=1.516450 lr=0.004589 Epoch[114] Batch [0899]/[1880] Speed: 195.640366 samples/sec accuracy=62.590278 loss=1.517224 lr=0.004587 Epoch[114] Batch [0949]/[1880] Speed: 199.737437 samples/sec accuracy=62.549342 loss=1.519286 lr=0.004584 Epoch[114] Batch [0999]/[1880] Speed: 180.340529 samples/sec accuracy=62.484375 loss=1.521816 lr=0.004582 Epoch[114] Batch [1049]/[1880] Speed: 181.456393 samples/sec accuracy=62.470982 loss=1.522651 lr=0.004580 Epoch[114] Batch [1099]/[1880] Speed: 184.908976 samples/sec accuracy=62.514205 loss=1.521312 lr=0.004577 Epoch[114] Batch [1149]/[1880] Speed: 185.824413 samples/sec accuracy=62.472826 loss=1.522736 lr=0.004575 Epoch[114] Batch [1199]/[1880] Speed: 192.171170 samples/sec accuracy=62.468099 loss=1.524562 lr=0.004572 Epoch[114] Batch [1249]/[1880] Speed: 182.746077 samples/sec accuracy=62.468750 loss=1.524842 lr=0.004570 Epoch[114] Batch [1299]/[1880] Speed: 183.298716 samples/sec accuracy=62.477764 loss=1.525454 lr=0.004567 Epoch[114] Batch [1349]/[1880] Speed: 185.195268 samples/sec accuracy=62.447338 loss=1.526214 lr=0.004565 Epoch[114] Batch [1399]/[1880] Speed: 174.369481 samples/sec accuracy=62.393973 loss=1.527965 lr=0.004563 Epoch[114] Batch [1449]/[1880] Speed: 205.987720 samples/sec accuracy=62.343750 loss=1.530615 lr=0.004560 Epoch[114] Batch [1499]/[1880] Speed: 183.683618 samples/sec accuracy=62.352604 loss=1.530624 lr=0.004558 Epoch[114] Batch [1549]/[1880] Speed: 175.608807 samples/sec accuracy=62.277218 loss=1.533010 lr=0.004555 Epoch[114] Batch [1599]/[1880] Speed: 200.015759 samples/sec accuracy=62.240723 loss=1.534541 lr=0.004553 Epoch[114] Batch [1649]/[1880] Speed: 180.186612 samples/sec accuracy=62.234375 loss=1.534868 lr=0.004551 Epoch[114] Batch [1699]/[1880] Speed: 183.472329 samples/sec accuracy=62.201746 loss=1.536495 lr=0.004548 Epoch[114] Batch [1749]/[1880] Speed: 191.221317 samples/sec accuracy=62.194196 loss=1.536755 lr=0.004546 Epoch[114] Batch [1799]/[1880] Speed: 183.736251 samples/sec accuracy=62.171875 loss=1.537092 lr=0.004543 Epoch[114] Batch [1849]/[1880] Speed: 184.153741 samples/sec accuracy=62.168919 loss=1.536807 lr=0.004541 Batch [0049]/[0151]: acc-top1=46.937500 acc-top5=71.296875 Batch [0099]/[0151]: acc-top1=50.242188 acc-top5=73.335938 Batch [0149]/[0151]: acc-top1=49.531250 acc-top5=73.432292 [Epoch 114] training: accuracy=62.178358 loss=1.536207 [Epoch 114] speed: 184 samples/sec time cost: 1417.776854 [Epoch 114] validation: acc-top1=49.461921 acc-top5=73.370240 loss=2.251132 Epoch[115] Batch [0049]/[1880] Speed: 133.172847 samples/sec accuracy=64.140625 loss=1.455119 lr=0.004537 Epoch[115] Batch [0099]/[1880] Speed: 189.198851 samples/sec accuracy=63.914062 loss=1.465764 lr=0.004535 Epoch[115] Batch [0149]/[1880] Speed: 180.581652 samples/sec accuracy=63.500000 loss=1.483065 lr=0.004532 Epoch[115] Batch [0199]/[1880] Speed: 199.667684 samples/sec accuracy=63.351562 loss=1.486452 lr=0.004530 Epoch[115] Batch [0249]/[1880] Speed: 181.132364 samples/sec accuracy=63.231250 loss=1.493519 lr=0.004527 Epoch[115] Batch [0299]/[1880] Speed: 191.107410 samples/sec accuracy=63.062500 loss=1.497383 lr=0.004525 Epoch[115] Batch [0349]/[1880] Speed: 168.797238 samples/sec accuracy=63.136161 loss=1.497363 lr=0.004522 Epoch[115] Batch [0399]/[1880] Speed: 202.888095 samples/sec accuracy=63.140625 loss=1.497142 lr=0.004520 Epoch[115] Batch [0449]/[1880] Speed: 186.601030 samples/sec accuracy=63.017361 loss=1.500373 lr=0.004518 Epoch[115] Batch [0499]/[1880] Speed: 178.845049 samples/sec accuracy=62.976562 loss=1.501976 lr=0.004515 Epoch[115] Batch [0549]/[1880] Speed: 202.713628 samples/sec accuracy=62.941761 loss=1.502950 lr=0.004513 Epoch[115] Batch [0599]/[1880] Speed: 162.717285 samples/sec accuracy=62.845052 loss=1.507356 lr=0.004510 Epoch[115] Batch [0649]/[1880] Speed: 199.284495 samples/sec accuracy=62.889423 loss=1.505459 lr=0.004508 Epoch[115] Batch [0699]/[1880] Speed: 192.854171 samples/sec accuracy=62.863839 loss=1.506336 lr=0.004506 Epoch[115] Batch [0749]/[1880] Speed: 176.069157 samples/sec accuracy=62.811458 loss=1.507907 lr=0.004503 Epoch[115] Batch [0799]/[1880] Speed: 193.348485 samples/sec accuracy=62.816406 loss=1.507196 lr=0.004501 Epoch[115] Batch [0849]/[1880] Speed: 179.499724 samples/sec accuracy=62.890625 loss=1.505790 lr=0.004498 Epoch[115] Batch [0899]/[1880] Speed: 197.604086 samples/sec accuracy=62.857639 loss=1.507288 lr=0.004496 Epoch[115] Batch [0949]/[1880] Speed: 173.107365 samples/sec accuracy=62.808388 loss=1.509629 lr=0.004493 Epoch[115] Batch [0999]/[1880] Speed: 197.255415 samples/sec accuracy=62.800781 loss=1.509250 lr=0.004491 Epoch[115] Batch [1049]/[1880] Speed: 176.337327 samples/sec accuracy=62.803571 loss=1.509719 lr=0.004489 Epoch[115] Batch [1099]/[1880] Speed: 185.098593 samples/sec accuracy=62.761364 loss=1.511245 lr=0.004486 Epoch[115] Batch [1149]/[1880] Speed: 185.980351 samples/sec accuracy=62.709918 loss=1.511418 lr=0.004484 Epoch[115] Batch [1199]/[1880] Speed: 195.457212 samples/sec accuracy=62.704427 loss=1.512278 lr=0.004481 Epoch[115] Batch [1249]/[1880] Speed: 176.749575 samples/sec accuracy=62.689375 loss=1.513660 lr=0.004479 Epoch[115] Batch [1299]/[1880] Speed: 192.329576 samples/sec accuracy=62.629207 loss=1.516232 lr=0.004477 Epoch[115] Batch [1349]/[1880] Speed: 187.707056 samples/sec accuracy=62.616319 loss=1.516838 lr=0.004474 Epoch[115] Batch [1399]/[1880] Speed: 169.672348 samples/sec accuracy=62.613281 loss=1.516978 lr=0.004472 Epoch[115] Batch [1449]/[1880] Speed: 204.330073 samples/sec accuracy=62.593211 loss=1.518239 lr=0.004469 Epoch[115] Batch [1499]/[1880] Speed: 188.862535 samples/sec accuracy=62.570312 loss=1.519483 lr=0.004467 Epoch[115] Batch [1549]/[1880] Speed: 178.829013 samples/sec accuracy=62.542339 loss=1.519989 lr=0.004464 Epoch[115] Batch [1599]/[1880] Speed: 185.785475 samples/sec accuracy=62.501465 loss=1.521707 lr=0.004462 Epoch[115] Batch [1649]/[1880] Speed: 194.719870 samples/sec accuracy=62.502367 loss=1.522384 lr=0.004460 Epoch[115] Batch [1699]/[1880] Speed: 181.771990 samples/sec accuracy=62.528493 loss=1.521016 lr=0.004457 Epoch[115] Batch [1749]/[1880] Speed: 189.713675 samples/sec accuracy=62.525446 loss=1.521332 lr=0.004455 Epoch[115] Batch [1799]/[1880] Speed: 176.026415 samples/sec accuracy=62.496528 loss=1.521896 lr=0.004452 Epoch[115] Batch [1849]/[1880] Speed: 193.180704 samples/sec accuracy=62.502111 loss=1.522302 lr=0.004450 Batch [0049]/[0151]: acc-top1=46.609375 acc-top5=71.265625 Batch [0099]/[0151]: acc-top1=50.328125 acc-top5=73.460938 Batch [0149]/[0151]: acc-top1=49.489583 acc-top5=73.463542 [Epoch 115] training: accuracy=62.498753 loss=1.522941 [Epoch 115] speed: 184 samples/sec time cost: 1418.857435 [Epoch 115] validation: acc-top1=49.461921 acc-top5=73.421978 loss=2.231685 Epoch[116] Batch [0049]/[1879] Speed: 134.518200 samples/sec accuracy=64.515625 loss=1.470966 lr=0.004446 Epoch[116] Batch [0099]/[1879] Speed: 177.310285 samples/sec accuracy=63.710938 loss=1.486466 lr=0.004444 Epoch[116] Batch [0149]/[1879] Speed: 207.452998 samples/sec accuracy=63.588542 loss=1.491578 lr=0.004441 Epoch[116] Batch [0199]/[1879] Speed: 183.808621 samples/sec accuracy=63.230469 loss=1.496112 lr=0.004439 Epoch[116] Batch [0249]/[1879] Speed: 185.107921 samples/sec accuracy=63.146875 loss=1.499126 lr=0.004436 Epoch[116] Batch [0299]/[1879] Speed: 188.461579 samples/sec accuracy=63.242188 loss=1.496882 lr=0.004434 Epoch[116] Batch [0349]/[1879] Speed: 172.944541 samples/sec accuracy=63.140625 loss=1.498860 lr=0.004432 Epoch[116] Batch [0399]/[1879] Speed: 202.841304 samples/sec accuracy=63.128906 loss=1.496709 lr=0.004429 Epoch[116] Batch [0449]/[1879] Speed: 170.004308 samples/sec accuracy=63.093750 loss=1.497913 lr=0.004427 Epoch[116] Batch [0499]/[1879] Speed: 200.672694 samples/sec accuracy=63.289063 loss=1.489799 lr=0.004424 Epoch[116] Batch [0549]/[1879] Speed: 181.936506 samples/sec accuracy=63.305398 loss=1.488552 lr=0.004422 Epoch[116] Batch [0599]/[1879] Speed: 181.372539 samples/sec accuracy=63.359375 loss=1.487255 lr=0.004420 Epoch[116] Batch [0649]/[1879] Speed: 196.941330 samples/sec accuracy=63.320913 loss=1.490065 lr=0.004417 Epoch[116] Batch [0699]/[1879] Speed: 179.648579 samples/sec accuracy=63.351562 loss=1.488975 lr=0.004415 Epoch[116] Batch [0749]/[1879] Speed: 190.673798 samples/sec accuracy=63.264583 loss=1.492446 lr=0.004412 Epoch[116] Batch [0799]/[1879] Speed: 185.201093 samples/sec accuracy=63.256836 loss=1.491888 lr=0.004410 Epoch[116] Batch [0849]/[1879] Speed: 192.806883 samples/sec accuracy=63.232537 loss=1.493339 lr=0.004407 Epoch[116] Batch [0899]/[1879] Speed: 178.317538 samples/sec accuracy=63.242188 loss=1.492918 lr=0.004405 Epoch[116] Batch [0949]/[1879] Speed: 185.244713 samples/sec accuracy=63.213816 loss=1.493480 lr=0.004403 Epoch[116] Batch [0999]/[1879] Speed: 186.289185 samples/sec accuracy=63.202344 loss=1.494096 lr=0.004400 Epoch[116] Batch [1049]/[1879] Speed: 184.064508 samples/sec accuracy=63.145089 loss=1.495745 lr=0.004398 Epoch[116] Batch [1099]/[1879] Speed: 180.081389 samples/sec accuracy=63.129261 loss=1.494805 lr=0.004395 Epoch[116] Batch [1149]/[1879] Speed: 193.850140 samples/sec accuracy=63.156250 loss=1.494493 lr=0.004393 Epoch[116] Batch [1199]/[1879] Speed: 188.587884 samples/sec accuracy=63.151693 loss=1.494461 lr=0.004391 Epoch[116] Batch [1249]/[1879] Speed: 173.292300 samples/sec accuracy=63.121875 loss=1.495732 lr=0.004388 Epoch[116] Batch [1299]/[1879] Speed: 205.042361 samples/sec accuracy=63.073317 loss=1.497448 lr=0.004386 Epoch[116] Batch [1349]/[1879] Speed: 185.872193 samples/sec accuracy=63.043403 loss=1.499032 lr=0.004383 Epoch[116] Batch [1399]/[1879] Speed: 176.289221 samples/sec accuracy=62.984375 loss=1.500716 lr=0.004381 Epoch[116] Batch [1449]/[1879] Speed: 183.659869 samples/sec accuracy=62.956358 loss=1.501938 lr=0.004378 Epoch[116] Batch [1499]/[1879] Speed: 196.414650 samples/sec accuracy=62.918229 loss=1.503630 lr=0.004376 Epoch[116] Batch [1549]/[1879] Speed: 185.835148 samples/sec accuracy=62.898185 loss=1.503908 lr=0.004374 Epoch[116] Batch [1599]/[1879] Speed: 173.277614 samples/sec accuracy=62.896973 loss=1.504051 lr=0.004371 Epoch[116] Batch [1649]/[1879] Speed: 204.206258 samples/sec accuracy=62.913826 loss=1.503314 lr=0.004369 Epoch[116] Batch [1699]/[1879] Speed: 175.256103 samples/sec accuracy=62.912684 loss=1.503989 lr=0.004366 Epoch[116] Batch [1749]/[1879] Speed: 180.918057 samples/sec accuracy=62.889286 loss=1.504609 lr=0.004364 Epoch[116] Batch [1799]/[1879] Speed: 204.157247 samples/sec accuracy=62.906250 loss=1.504254 lr=0.004362 Epoch[116] Batch [1849]/[1879] Speed: 170.352724 samples/sec accuracy=62.908361 loss=1.504254 lr=0.004359 Batch [0049]/[0151]: acc-top1=46.796875 acc-top5=71.484375 Batch [0099]/[0151]: acc-top1=50.687500 acc-top5=73.750000 Batch [0149]/[0151]: acc-top1=49.687500 acc-top5=73.328125 [Epoch 116] training: accuracy=62.903722 loss=1.504143 [Epoch 116] speed: 184 samples/sec time cost: 1415.724267 [Epoch 116] validation: acc-top1=49.653353 acc-top5=73.308154 loss=2.241643 Epoch[117] Batch [0049]/[1880] Speed: 132.485355 samples/sec accuracy=63.828125 loss=1.453362 lr=0.004355 Epoch[117] Batch [0099]/[1880] Speed: 196.208934 samples/sec accuracy=62.992188 loss=1.481674 lr=0.004353 Epoch[117] Batch [0149]/[1880] Speed: 175.591425 samples/sec accuracy=63.317708 loss=1.466757 lr=0.004351 Epoch[117] Batch [0199]/[1880] Speed: 183.932391 samples/sec accuracy=63.421875 loss=1.467342 lr=0.004348 Epoch[117] Batch [0249]/[1880] Speed: 199.846247 samples/sec accuracy=63.221875 loss=1.477847 lr=0.004346 Epoch[117] Batch [0299]/[1880] Speed: 197.805508 samples/sec accuracy=63.315104 loss=1.472400 lr=0.004343 Epoch[117] Batch [0349]/[1880] Speed: 170.284421 samples/sec accuracy=63.435268 loss=1.469432 lr=0.004341 Epoch[117] Batch [0399]/[1880] Speed: 192.592601 samples/sec accuracy=63.513672 loss=1.468818 lr=0.004339 Epoch[117] Batch [0449]/[1880] Speed: 186.849479 samples/sec accuracy=63.572917 loss=1.469898 lr=0.004336 Epoch[117] Batch [0499]/[1880] Speed: 180.388071 samples/sec accuracy=63.576563 loss=1.471857 lr=0.004334 Epoch[117] Batch [0549]/[1880] Speed: 181.183939 samples/sec accuracy=63.544034 loss=1.473047 lr=0.004331 Epoch[117] Batch [0599]/[1880] Speed: 192.971533 samples/sec accuracy=63.527344 loss=1.474887 lr=0.004329 Epoch[117] Batch [0649]/[1880] Speed: 190.095753 samples/sec accuracy=63.491587 loss=1.474942 lr=0.004326 Epoch[117] Batch [0699]/[1880] Speed: 188.827749 samples/sec accuracy=63.391741 loss=1.477229 lr=0.004324 Epoch[117] Batch [0749]/[1880] Speed: 176.919334 samples/sec accuracy=63.347917 loss=1.479233 lr=0.004322 Epoch[117] Batch [0799]/[1880] Speed: 197.523420 samples/sec accuracy=63.328125 loss=1.480283 lr=0.004319 Epoch[117] Batch [0849]/[1880] Speed: 187.720628 samples/sec accuracy=63.336397 loss=1.479558 lr=0.004317 Epoch[117] Batch [0899]/[1880] Speed: 173.693547 samples/sec accuracy=63.348958 loss=1.479279 lr=0.004314 Epoch[117] Batch [0949]/[1880] Speed: 194.319112 samples/sec accuracy=63.363487 loss=1.477766 lr=0.004312 Epoch[117] Batch [0999]/[1880] Speed: 179.848059 samples/sec accuracy=63.342969 loss=1.479358 lr=0.004310 Epoch[117] Batch [1049]/[1880] Speed: 190.671830 samples/sec accuracy=63.349702 loss=1.479189 lr=0.004307 Epoch[117] Batch [1099]/[1880] Speed: 185.083209 samples/sec accuracy=63.362926 loss=1.478264 lr=0.004305 Epoch[117] Batch [1149]/[1880] Speed: 186.542522 samples/sec accuracy=63.310462 loss=1.481299 lr=0.004302 Epoch[117] Batch [1199]/[1880] Speed: 191.214303 samples/sec accuracy=63.216146 loss=1.483846 lr=0.004300 Epoch[117] Batch [1249]/[1880] Speed: 183.636965 samples/sec accuracy=63.178750 loss=1.484758 lr=0.004298 Epoch[117] Batch [1299]/[1880] Speed: 190.756853 samples/sec accuracy=63.125601 loss=1.487203 lr=0.004295 Epoch[117] Batch [1349]/[1880] Speed: 184.502425 samples/sec accuracy=63.119213 loss=1.488010 lr=0.004293 Epoch[117] Batch [1399]/[1880] Speed: 177.984569 samples/sec accuracy=63.122768 loss=1.488480 lr=0.004290 Epoch[117] Batch [1449]/[1880] Speed: 187.735494 samples/sec accuracy=63.139009 loss=1.488110 lr=0.004288 Epoch[117] Batch [1499]/[1880] Speed: 190.341199 samples/sec accuracy=63.138021 loss=1.488374 lr=0.004286 Epoch[117] Batch [1549]/[1880] Speed: 185.302595 samples/sec accuracy=63.101815 loss=1.490088 lr=0.004283 Epoch[117] Batch [1599]/[1880] Speed: 187.455446 samples/sec accuracy=63.079102 loss=1.491340 lr=0.004281 Epoch[117] Batch [1649]/[1880] Speed: 180.772270 samples/sec accuracy=63.068182 loss=1.491866 lr=0.004278 Epoch[117] Batch [1699]/[1880] Speed: 196.335410 samples/sec accuracy=63.043199 loss=1.492867 lr=0.004276 Epoch[117] Batch [1749]/[1880] Speed: 170.269236 samples/sec accuracy=63.051786 loss=1.492902 lr=0.004274 Epoch[117] Batch [1799]/[1880] Speed: 192.270871 samples/sec accuracy=63.037326 loss=1.494020 lr=0.004271 Epoch[117] Batch [1849]/[1880] Speed: 199.006471 samples/sec accuracy=63.021537 loss=1.495581 lr=0.004269 Batch [0049]/[0151]: acc-top1=47.578125 acc-top5=71.093750 Batch [0099]/[0151]: acc-top1=51.203125 acc-top5=73.523438 Batch [0149]/[0151]: acc-top1=50.250000 acc-top5=73.416667 [Epoch 117] training: accuracy=63.031915 loss=1.495185 [Epoch 117] speed: 184 samples/sec time cost: 1416.856953 [Epoch 117] validation: acc-top1=50.186258 acc-top5=73.359892 loss=2.242484 Epoch[118] Batch [0049]/[1880] Speed: 130.911875 samples/sec accuracy=64.515625 loss=1.464826 lr=0.004265 Epoch[118] Batch [0099]/[1880] Speed: 204.817512 samples/sec accuracy=64.445312 loss=1.456113 lr=0.004262 Epoch[118] Batch [0149]/[1880] Speed: 168.669275 samples/sec accuracy=64.302083 loss=1.456259 lr=0.004260 Epoch[118] Batch [0199]/[1880] Speed: 202.081622 samples/sec accuracy=63.902344 loss=1.466431 lr=0.004258 Epoch[118] Batch [0249]/[1880] Speed: 196.078985 samples/sec accuracy=64.015625 loss=1.459604 lr=0.004255 Epoch[118] Batch [0299]/[1880] Speed: 173.395842 samples/sec accuracy=63.841146 loss=1.461582 lr=0.004253 Epoch[118] Batch [0349]/[1880] Speed: 176.717440 samples/sec accuracy=63.839286 loss=1.464823 lr=0.004250 Epoch[118] Batch [0399]/[1880] Speed: 203.320246 samples/sec accuracy=63.828125 loss=1.463371 lr=0.004248 Epoch[118] Batch [0449]/[1880] Speed: 182.948621 samples/sec accuracy=63.946181 loss=1.456488 lr=0.004246 Epoch[118] Batch [0499]/[1880] Speed: 184.019615 samples/sec accuracy=63.879688 loss=1.458851 lr=0.004243 Epoch[118] Batch [0549]/[1880] Speed: 181.443427 samples/sec accuracy=63.755682 loss=1.465217 lr=0.004241 Epoch[118] Batch [0599]/[1880] Speed: 194.561196 samples/sec accuracy=63.703125 loss=1.467429 lr=0.004238 Epoch[118] Batch [0649]/[1880] Speed: 187.718521 samples/sec accuracy=63.725962 loss=1.465658 lr=0.004236 Epoch[118] Batch [0699]/[1880] Speed: 179.026587 samples/sec accuracy=63.732143 loss=1.466444 lr=0.004234 Epoch[118] Batch [0749]/[1880] Speed: 196.223310 samples/sec accuracy=63.690625 loss=1.467990 lr=0.004231 Epoch[118] Batch [0799]/[1880] Speed: 180.031321 samples/sec accuracy=63.734375 loss=1.466233 lr=0.004229 Epoch[118] Batch [0849]/[1880] Speed: 188.023299 samples/sec accuracy=63.734375 loss=1.465750 lr=0.004226 Epoch[118] Batch [0899]/[1880] Speed: 174.949958 samples/sec accuracy=63.631076 loss=1.470167 lr=0.004224 Epoch[118] Batch [0949]/[1880] Speed: 208.252587 samples/sec accuracy=63.627467 loss=1.470048 lr=0.004222 Epoch[118] Batch [0999]/[1880] Speed: 165.810602 samples/sec accuracy=63.639844 loss=1.469600 lr=0.004219 Epoch[118] Batch [1049]/[1880] Speed: 199.871505 samples/sec accuracy=63.619048 loss=1.470491 lr=0.004217 Epoch[118] Batch [1099]/[1880] Speed: 173.853794 samples/sec accuracy=63.563210 loss=1.472507 lr=0.004214 Epoch[118] Batch [1149]/[1880] Speed: 193.869103 samples/sec accuracy=63.520380 loss=1.473917 lr=0.004212 Epoch[118] Batch [1199]/[1880] Speed: 201.683000 samples/sec accuracy=63.513672 loss=1.474354 lr=0.004210 Epoch[118] Batch [1249]/[1880] Speed: 163.454071 samples/sec accuracy=63.520625 loss=1.474608 lr=0.004207 Epoch[118] Batch [1299]/[1880] Speed: 206.195594 samples/sec accuracy=63.503005 loss=1.474900 lr=0.004205 Epoch[118] Batch [1349]/[1880] Speed: 188.032944 samples/sec accuracy=63.482060 loss=1.475533 lr=0.004202 Epoch[118] Batch [1399]/[1880] Speed: 174.142166 samples/sec accuracy=63.480469 loss=1.475435 lr=0.004200 Epoch[118] Batch [1449]/[1880] Speed: 197.297035 samples/sec accuracy=63.467672 loss=1.475558 lr=0.004198 Epoch[118] Batch [1499]/[1880] Speed: 166.882746 samples/sec accuracy=63.424479 loss=1.477263 lr=0.004195 Epoch[118] Batch [1549]/[1880] Speed: 205.568885 samples/sec accuracy=63.393649 loss=1.478892 lr=0.004193 Epoch[118] Batch [1599]/[1880] Speed: 176.010095 samples/sec accuracy=63.351074 loss=1.480433 lr=0.004190 Epoch[118] Batch [1649]/[1880] Speed: 189.930632 samples/sec accuracy=63.341383 loss=1.480785 lr=0.004188 Epoch[118] Batch [1699]/[1880] Speed: 202.508637 samples/sec accuracy=63.344669 loss=1.481161 lr=0.004186 Epoch[118] Batch [1749]/[1880] Speed: 168.670520 samples/sec accuracy=63.343304 loss=1.480920 lr=0.004183 Epoch[118] Batch [1799]/[1880] Speed: 201.379725 samples/sec accuracy=63.340712 loss=1.480748 lr=0.004181 Epoch[118] Batch [1849]/[1880] Speed: 165.078082 samples/sec accuracy=63.322635 loss=1.480902 lr=0.004178 Batch [0049]/[0151]: acc-top1=47.828125 acc-top5=72.296875 Batch [0099]/[0151]: acc-top1=51.234375 acc-top5=74.195312 Batch [0149]/[0151]: acc-top1=49.927083 acc-top5=73.973958 [Epoch 118] training: accuracy=63.314079 loss=1.480994 [Epoch 118] speed: 184 samples/sec time cost: 1417.325530 [Epoch 118] validation: acc-top1=49.901697 acc-top5=73.944536 loss=2.244880 Epoch[119] Batch [0049]/[1880] Speed: 129.622692 samples/sec accuracy=64.093750 loss=1.444024 lr=0.004175 Epoch[119] Batch [0099]/[1880] Speed: 203.101274 samples/sec accuracy=64.648438 loss=1.426096 lr=0.004172 Epoch[119] Batch [0149]/[1880] Speed: 178.520304 samples/sec accuracy=64.588542 loss=1.431680 lr=0.004170 Epoch[119] Batch [0199]/[1880] Speed: 180.274848 samples/sec accuracy=64.425781 loss=1.433320 lr=0.004167 Epoch[119] Batch [0249]/[1880] Speed: 181.376268 samples/sec accuracy=64.365625 loss=1.432115 lr=0.004165 Epoch[119] Batch [0299]/[1880] Speed: 195.704103 samples/sec accuracy=64.367188 loss=1.436446 lr=0.004163 Epoch[119] Batch [0349]/[1880] Speed: 185.551266 samples/sec accuracy=64.252232 loss=1.440363 lr=0.004160 Epoch[119] Batch [0399]/[1880] Speed: 186.092044 samples/sec accuracy=64.175781 loss=1.445640 lr=0.004158 Epoch[119] Batch [0449]/[1880] Speed: 193.102442 samples/sec accuracy=64.189236 loss=1.446098 lr=0.004155 Epoch[119] Batch [0499]/[1880] Speed: 170.128429 samples/sec accuracy=64.198438 loss=1.448426 lr=0.004153 Epoch[119] Batch [0549]/[1880] Speed: 198.800348 samples/sec accuracy=64.176136 loss=1.449929 lr=0.004151 Epoch[119] Batch [0599]/[1880] Speed: 192.392482 samples/sec accuracy=64.101562 loss=1.453297 lr=0.004148 Epoch[119] Batch [0649]/[1880] Speed: 184.366479 samples/sec accuracy=64.082933 loss=1.454609 lr=0.004146 Epoch[119] Batch [0699]/[1880] Speed: 185.268124 samples/sec accuracy=64.020089 loss=1.457381 lr=0.004144 Epoch[119] Batch [0749]/[1880] Speed: 180.601037 samples/sec accuracy=63.928125 loss=1.462368 lr=0.004141 Epoch[119] Batch [0799]/[1880] Speed: 187.460765 samples/sec accuracy=63.908203 loss=1.463848 lr=0.004139 Epoch[119] Batch [0849]/[1880] Speed: 177.981553 samples/sec accuracy=63.886949 loss=1.464480 lr=0.004136 Epoch[119] Batch [0899]/[1880] Speed: 207.587355 samples/sec accuracy=63.889757 loss=1.464457 lr=0.004134 Epoch[119] Batch [0949]/[1880] Speed: 179.917666 samples/sec accuracy=63.889803 loss=1.465783 lr=0.004132 Epoch[119] Batch [0999]/[1880] Speed: 182.372122 samples/sec accuracy=63.823438 loss=1.468105 lr=0.004129 Epoch[119] Batch [1049]/[1880] Speed: 185.660793 samples/sec accuracy=63.807292 loss=1.469172 lr=0.004127 Epoch[119] Batch [1099]/[1880] Speed: 177.657344 samples/sec accuracy=63.799006 loss=1.469886 lr=0.004124 Epoch[119] Batch [1149]/[1880] Speed: 201.269735 samples/sec accuracy=63.841033 loss=1.468625 lr=0.004122 Epoch[119] Batch [1199]/[1880] Speed: 175.722320 samples/sec accuracy=63.856120 loss=1.468127 lr=0.004120 Epoch[119] Batch [1249]/[1880] Speed: 189.774951 samples/sec accuracy=63.868125 loss=1.466450 lr=0.004117 Epoch[119] Batch [1299]/[1880] Speed: 182.565060 samples/sec accuracy=63.868990 loss=1.465691 lr=0.004115 Epoch[119] Batch [1349]/[1880] Speed: 189.656022 samples/sec accuracy=63.879051 loss=1.465280 lr=0.004112 Epoch[119] Batch [1399]/[1880] Speed: 181.181062 samples/sec accuracy=63.874442 loss=1.465019 lr=0.004110 Epoch[119] Batch [1449]/[1880] Speed: 182.499060 samples/sec accuracy=63.858297 loss=1.465503 lr=0.004108 Epoch[119] Batch [1499]/[1880] Speed: 191.680260 samples/sec accuracy=63.822396 loss=1.466361 lr=0.004105 Epoch[119] Batch [1549]/[1880] Speed: 181.936346 samples/sec accuracy=63.784274 loss=1.467924 lr=0.004103 Epoch[119] Batch [1599]/[1880] Speed: 176.774078 samples/sec accuracy=63.795410 loss=1.467484 lr=0.004100 Epoch[119] Batch [1649]/[1880] Speed: 199.930470 samples/sec accuracy=63.804451 loss=1.466990 lr=0.004098 Epoch[119] Batch [1699]/[1880] Speed: 170.768768 samples/sec accuracy=63.801471 loss=1.466551 lr=0.004096 Epoch[119] Batch [1749]/[1880] Speed: 192.291595 samples/sec accuracy=63.791071 loss=1.466842 lr=0.004093 Epoch[119] Batch [1799]/[1880] Speed: 200.256730 samples/sec accuracy=63.760417 loss=1.467931 lr=0.004091 Epoch[119] Batch [1849]/[1880] Speed: 184.450508 samples/sec accuracy=63.758868 loss=1.468412 lr=0.004088 Batch [0049]/[0151]: acc-top1=47.281250 acc-top5=71.296875 Batch [0099]/[0151]: acc-top1=50.937500 acc-top5=73.593750 Batch [0149]/[0151]: acc-top1=49.828125 acc-top5=73.395833 [Epoch 119] training: accuracy=63.748338 loss=1.469016 [Epoch 119] speed: 184 samples/sec time cost: 1419.120042 [Epoch 119] validation: acc-top1=49.767177 acc-top5=73.375414 loss=2.257919 Epoch[120] Batch [0049]/[1880] Speed: 132.441337 samples/sec accuracy=64.500000 loss=1.436874 lr=0.004085 Epoch[120] Batch [0099]/[1880] Speed: 194.668217 samples/sec accuracy=64.546875 loss=1.431950 lr=0.004082 Epoch[120] Batch [0149]/[1880] Speed: 187.532308 samples/sec accuracy=64.385417 loss=1.439807 lr=0.004080 Epoch[120] Batch [0199]/[1880] Speed: 184.082982 samples/sec accuracy=64.210938 loss=1.445157 lr=0.004078 Epoch[120] Batch [0249]/[1880] Speed: 181.295984 samples/sec accuracy=64.178125 loss=1.443967 lr=0.004075 Epoch[120] Batch [0299]/[1880] Speed: 199.068072 samples/sec accuracy=64.114583 loss=1.449864 lr=0.004073 Epoch[120] Batch [0349]/[1880] Speed: 162.570424 samples/sec accuracy=64.066964 loss=1.450385 lr=0.004070 Epoch[120] Batch [0399]/[1880] Speed: 207.564570 samples/sec accuracy=64.109375 loss=1.447540 lr=0.004068 Epoch[120] Batch [0449]/[1880] Speed: 186.426969 samples/sec accuracy=64.137153 loss=1.446224 lr=0.004066 Epoch[120] Batch [0499]/[1880] Speed: 172.328544 samples/sec accuracy=64.071875 loss=1.452096 lr=0.004063 Epoch[120] Batch [0549]/[1880] Speed: 207.719348 samples/sec accuracy=64.048295 loss=1.453576 lr=0.004061 Epoch[120] Batch [0599]/[1880] Speed: 167.750220 samples/sec accuracy=63.980469 loss=1.454680 lr=0.004058 Epoch[120] Batch [0649]/[1880] Speed: 200.816145 samples/sec accuracy=64.018029 loss=1.454628 lr=0.004056 Epoch[120] Batch [0699]/[1880] Speed: 167.537738 samples/sec accuracy=64.061384 loss=1.454461 lr=0.004054 Epoch[120] Batch [0749]/[1880] Speed: 196.837209 samples/sec accuracy=64.127083 loss=1.452424 lr=0.004051 Epoch[120] Batch [0799]/[1880] Speed: 187.693278 samples/sec accuracy=64.094727 loss=1.453830 lr=0.004049 Epoch[120] Batch [0849]/[1880] Speed: 189.761154 samples/sec accuracy=64.127757 loss=1.454123 lr=0.004046 Epoch[120] Batch [0899]/[1880] Speed: 185.725817 samples/sec accuracy=64.141493 loss=1.453119 lr=0.004044 Epoch[120] Batch [0949]/[1880] Speed: 182.357680 samples/sec accuracy=64.157072 loss=1.453555 lr=0.004042 Epoch[120] Batch [0999]/[1880] Speed: 186.188479 samples/sec accuracy=64.178906 loss=1.451514 lr=0.004039 Epoch[120] Batch [1049]/[1880] Speed: 181.521148 samples/sec accuracy=64.177083 loss=1.452579 lr=0.004037 Epoch[120] Batch [1099]/[1880] Speed: 191.541038 samples/sec accuracy=64.161932 loss=1.453963 lr=0.004035 Epoch[120] Batch [1149]/[1880] Speed: 187.690667 samples/sec accuracy=64.156250 loss=1.453822 lr=0.004032 Epoch[120] Batch [1199]/[1880] Speed: 172.148827 samples/sec accuracy=64.155599 loss=1.453750 lr=0.004030 Epoch[120] Batch [1249]/[1880] Speed: 194.690885 samples/sec accuracy=64.160625 loss=1.452338 lr=0.004027 Epoch[120] Batch [1299]/[1880] Speed: 193.257108 samples/sec accuracy=64.160457 loss=1.453000 lr=0.004025 Epoch[120] Batch [1349]/[1880] Speed: 181.952451 samples/sec accuracy=64.138889 loss=1.454144 lr=0.004023 Epoch[120] Batch [1399]/[1880] Speed: 188.876524 samples/sec accuracy=64.103795 loss=1.454532 lr=0.004020 Epoch[120] Batch [1449]/[1880] Speed: 179.484357 samples/sec accuracy=64.086746 loss=1.455256 lr=0.004018 Epoch[120] Batch [1499]/[1880] Speed: 182.557363 samples/sec accuracy=64.053125 loss=1.456833 lr=0.004015 Epoch[120] Batch [1549]/[1880] Speed: 192.216264 samples/sec accuracy=64.029738 loss=1.458080 lr=0.004013 Epoch[120] Batch [1599]/[1880] Speed: 175.147212 samples/sec accuracy=64.040527 loss=1.457108 lr=0.004011 Epoch[120] Batch [1649]/[1880] Speed: 189.150636 samples/sec accuracy=64.017045 loss=1.458279 lr=0.004008 Epoch[120] Batch [1699]/[1880] Speed: 180.871210 samples/sec accuracy=63.994485 loss=1.459933 lr=0.004006 Epoch[120] Batch [1749]/[1880] Speed: 199.850873 samples/sec accuracy=63.972768 loss=1.459847 lr=0.004004 Epoch[120] Batch [1799]/[1880] Speed: 181.408069 samples/sec accuracy=63.972222 loss=1.460098 lr=0.004001 Epoch[120] Batch [1849]/[1880] Speed: 180.360639 samples/sec accuracy=63.974662 loss=1.459954 lr=0.003999 Batch [0049]/[0151]: acc-top1=47.062500 acc-top5=71.156250 Batch [0099]/[0151]: acc-top1=50.390625 acc-top5=73.335938 Batch [0149]/[0151]: acc-top1=49.744792 acc-top5=73.276042 [Epoch 120] training: accuracy=63.967337 loss=1.460171 [Epoch 120] speed: 184 samples/sec time cost: 1419.449182 [Epoch 120] validation: acc-top1=49.694743 acc-top5=73.261589 loss=2.265350 Epoch[121] Batch [0049]/[1880] Speed: 135.790162 samples/sec accuracy=64.328125 loss=1.434222 lr=0.003995 Epoch[121] Batch [0099]/[1880] Speed: 181.855743 samples/sec accuracy=65.023438 loss=1.413810 lr=0.003993 Epoch[121] Batch [0149]/[1880] Speed: 187.021072 samples/sec accuracy=64.760417 loss=1.426436 lr=0.003990 Epoch[121] Batch [0199]/[1880] Speed: 195.415338 samples/sec accuracy=64.382812 loss=1.436657 lr=0.003988 Epoch[121] Batch [0249]/[1880] Speed: 164.411361 samples/sec accuracy=64.284375 loss=1.435093 lr=0.003985 Epoch[121] Batch [0299]/[1880] Speed: 205.712633 samples/sec accuracy=64.106771 loss=1.438802 lr=0.003983 Epoch[121] Batch [0349]/[1880] Speed: 180.917811 samples/sec accuracy=64.428571 loss=1.430923 lr=0.003981 Epoch[121] Batch [0399]/[1880] Speed: 178.687418 samples/sec accuracy=64.482422 loss=1.432388 lr=0.003978 Epoch[121] Batch [0449]/[1880] Speed: 202.072593 samples/sec accuracy=64.560764 loss=1.429626 lr=0.003976 Epoch[121] Batch [0499]/[1880] Speed: 178.317326 samples/sec accuracy=64.515625 loss=1.433305 lr=0.003974 Epoch[121] Batch [0549]/[1880] Speed: 183.171754 samples/sec accuracy=64.569602 loss=1.432824 lr=0.003971 Epoch[121] Batch [0599]/[1880] Speed: 185.450007 samples/sec accuracy=64.544271 loss=1.434478 lr=0.003969 Epoch[121] Batch [0649]/[1880] Speed: 185.015354 samples/sec accuracy=64.572115 loss=1.432876 lr=0.003966 Epoch[121] Batch [0699]/[1880] Speed: 182.956196 samples/sec accuracy=64.555804 loss=1.433845 lr=0.003964 Epoch[121] Batch [0749]/[1880] Speed: 193.498580 samples/sec accuracy=64.489583 loss=1.437420 lr=0.003962 Epoch[121] Batch [0799]/[1880] Speed: 185.499354 samples/sec accuracy=64.425781 loss=1.440306 lr=0.003959 Epoch[121] Batch [0849]/[1880] Speed: 180.423884 samples/sec accuracy=64.498162 loss=1.437364 lr=0.003957 Epoch[121] Batch [0899]/[1880] Speed: 194.034850 samples/sec accuracy=64.460938 loss=1.438386 lr=0.003955 Epoch[121] Batch [0949]/[1880] Speed: 171.397297 samples/sec accuracy=64.402961 loss=1.441456 lr=0.003952 Epoch[121] Batch [0999]/[1880] Speed: 201.052390 samples/sec accuracy=64.342969 loss=1.444624 lr=0.003950 Epoch[121] Batch [1049]/[1880] Speed: 181.168853 samples/sec accuracy=64.342262 loss=1.444475 lr=0.003947 Epoch[121] Batch [1099]/[1880] Speed: 186.824260 samples/sec accuracy=64.337358 loss=1.444557 lr=0.003945 Epoch[121] Batch [1149]/[1880] Speed: 194.835063 samples/sec accuracy=64.326766 loss=1.445112 lr=0.003943 Epoch[121] Batch [1199]/[1880] Speed: 169.781267 samples/sec accuracy=64.321615 loss=1.445732 lr=0.003940 Epoch[121] Batch [1249]/[1880] Speed: 204.203826 samples/sec accuracy=64.317500 loss=1.444968 lr=0.003938 Epoch[121] Batch [1299]/[1880] Speed: 176.326382 samples/sec accuracy=64.280048 loss=1.445005 lr=0.003936 Epoch[121] Batch [1349]/[1880] Speed: 187.972852 samples/sec accuracy=64.278935 loss=1.445322 lr=0.003933 Epoch[121] Batch [1399]/[1880] Speed: 183.928929 samples/sec accuracy=64.272879 loss=1.445762 lr=0.003931 Epoch[121] Batch [1449]/[1880] Speed: 186.252739 samples/sec accuracy=64.232759 loss=1.447318 lr=0.003928 Epoch[121] Batch [1499]/[1880] Speed: 188.153843 samples/sec accuracy=64.239063 loss=1.446660 lr=0.003926 Epoch[121] Batch [1549]/[1880] Speed: 177.185434 samples/sec accuracy=64.247984 loss=1.445540 lr=0.003924 Epoch[121] Batch [1599]/[1880] Speed: 202.079976 samples/sec accuracy=64.249023 loss=1.444719 lr=0.003921 Epoch[121] Batch [1649]/[1880] Speed: 172.125942 samples/sec accuracy=64.260890 loss=1.444822 lr=0.003919 Epoch[121] Batch [1699]/[1880] Speed: 189.964382 samples/sec accuracy=64.220588 loss=1.446373 lr=0.003917 Epoch[121] Batch [1749]/[1880] Speed: 184.474718 samples/sec accuracy=64.204464 loss=1.447088 lr=0.003914 Epoch[121] Batch [1799]/[1880] Speed: 194.320552 samples/sec accuracy=64.203125 loss=1.447525 lr=0.003912 Epoch[121] Batch [1849]/[1880] Speed: 180.140200 samples/sec accuracy=64.201014 loss=1.448060 lr=0.003909 Batch [0049]/[0151]: acc-top1=46.328125 acc-top5=70.890625 Batch [0099]/[0151]: acc-top1=50.257812 acc-top5=73.367188 Batch [0149]/[0151]: acc-top1=49.442708 acc-top5=73.156250 [Epoch 121] training: accuracy=64.187583 loss=1.448799 [Epoch 121] speed: 184 samples/sec time cost: 1417.701598 [Epoch 121] validation: acc-top1=49.389487 acc-top5=73.106374 loss=2.278661 Epoch[122] Batch [0049]/[1879] Speed: 135.069957 samples/sec accuracy=65.250000 loss=1.392837 lr=0.003906 Epoch[122] Batch [0099]/[1879] Speed: 187.693323 samples/sec accuracy=65.070312 loss=1.407066 lr=0.003903 Epoch[122] Batch [0149]/[1879] Speed: 179.608791 samples/sec accuracy=65.265625 loss=1.398964 lr=0.003901 Epoch[122] Batch [0199]/[1879] Speed: 198.937344 samples/sec accuracy=65.179688 loss=1.408762 lr=0.003899 Epoch[122] Batch [0249]/[1879] Speed: 185.694827 samples/sec accuracy=65.037500 loss=1.406920 lr=0.003896 Epoch[122] Batch [0299]/[1879] Speed: 190.193517 samples/sec accuracy=65.083333 loss=1.409095 lr=0.003894 Epoch[122] Batch [0349]/[1879] Speed: 177.727487 samples/sec accuracy=65.000000 loss=1.410161 lr=0.003891 Epoch[122] Batch [0399]/[1879] Speed: 191.602153 samples/sec accuracy=64.927734 loss=1.410575 lr=0.003889 Epoch[122] Batch [0449]/[1879] Speed: 178.274604 samples/sec accuracy=64.833333 loss=1.416358 lr=0.003887 Epoch[122] Batch [0499]/[1879] Speed: 193.455065 samples/sec accuracy=64.765625 loss=1.417257 lr=0.003884 Epoch[122] Batch [0549]/[1879] Speed: 175.342908 samples/sec accuracy=64.748580 loss=1.419140 lr=0.003882 Epoch[122] Batch [0599]/[1879] Speed: 200.143394 samples/sec accuracy=64.815104 loss=1.416167 lr=0.003880 Epoch[122] Batch [0649]/[1879] Speed: 172.734310 samples/sec accuracy=64.787260 loss=1.418349 lr=0.003877 Epoch[122] Batch [0699]/[1879] Speed: 190.761458 samples/sec accuracy=64.792411 loss=1.418691 lr=0.003875 Epoch[122] Batch [0749]/[1879] Speed: 198.232256 samples/sec accuracy=64.796875 loss=1.420409 lr=0.003872 Epoch[122] Batch [0799]/[1879] Speed: 177.688399 samples/sec accuracy=64.754883 loss=1.421974 lr=0.003870 Epoch[122] Batch [0849]/[1879] Speed: 195.729753 samples/sec accuracy=64.792279 loss=1.420896 lr=0.003868 Epoch[122] Batch [0899]/[1879] Speed: 168.384754 samples/sec accuracy=64.838542 loss=1.420251 lr=0.003865 Epoch[122] Batch [0949]/[1879] Speed: 191.747807 samples/sec accuracy=64.813322 loss=1.421088 lr=0.003863 Epoch[122] Batch [0999]/[1879] Speed: 200.239086 samples/sec accuracy=64.839062 loss=1.419757 lr=0.003861 Epoch[122] Batch [1049]/[1879] Speed: 170.925190 samples/sec accuracy=64.813244 loss=1.421095 lr=0.003858 Epoch[122] Batch [1099]/[1879] Speed: 187.690797 samples/sec accuracy=64.800426 loss=1.421651 lr=0.003856 Epoch[122] Batch [1149]/[1879] Speed: 184.103709 samples/sec accuracy=64.793478 loss=1.422130 lr=0.003854 Epoch[122] Batch [1199]/[1879] Speed: 189.928466 samples/sec accuracy=64.734375 loss=1.424118 lr=0.003851 Epoch[122] Batch [1249]/[1879] Speed: 187.914149 samples/sec accuracy=64.712500 loss=1.425722 lr=0.003849 Epoch[122] Batch [1299]/[1879] Speed: 192.175618 samples/sec accuracy=64.668269 loss=1.427485 lr=0.003846 Epoch[122] Batch [1349]/[1879] Speed: 181.893332 samples/sec accuracy=64.663773 loss=1.427415 lr=0.003844 Epoch[122] Batch [1399]/[1879] Speed: 190.174197 samples/sec accuracy=64.664062 loss=1.427484 lr=0.003842 Epoch[122] Batch [1449]/[1879] Speed: 175.001788 samples/sec accuracy=64.627694 loss=1.428331 lr=0.003839 Epoch[122] Batch [1499]/[1879] Speed: 195.554872 samples/sec accuracy=64.637500 loss=1.429575 lr=0.003837 Epoch[122] Batch [1549]/[1879] Speed: 179.477693 samples/sec accuracy=64.580645 loss=1.430752 lr=0.003835 Epoch[122] Batch [1599]/[1879] Speed: 187.999264 samples/sec accuracy=64.587891 loss=1.429895 lr=0.003832 Epoch[122] Batch [1649]/[1879] Speed: 183.349921 samples/sec accuracy=64.576705 loss=1.430052 lr=0.003830 Epoch[122] Batch [1699]/[1879] Speed: 174.331071 samples/sec accuracy=64.578585 loss=1.430759 lr=0.003828 Epoch[122] Batch [1749]/[1879] Speed: 193.632248 samples/sec accuracy=64.564286 loss=1.431412 lr=0.003825 Epoch[122] Batch [1799]/[1879] Speed: 192.403231 samples/sec accuracy=64.545139 loss=1.431595 lr=0.003823 Epoch[122] Batch [1849]/[1879] Speed: 187.841018 samples/sec accuracy=64.516470 loss=1.432684 lr=0.003820 Batch [0049]/[0151]: acc-top1=46.796875 acc-top5=72.203125 Batch [0099]/[0151]: acc-top1=50.476562 acc-top5=73.976562 Batch [0149]/[0151]: acc-top1=49.614583 acc-top5=73.635417 [Epoch 122] training: accuracy=64.529421 loss=1.432645 [Epoch 122] speed: 184 samples/sec time cost: 1417.369362 [Epoch 122] validation: acc-top1=49.565397 acc-top5=73.592715 loss=2.272095 Epoch[123] Batch [0049]/[1880] Speed: 128.925493 samples/sec accuracy=65.687500 loss=1.376388 lr=0.003817 Epoch[123] Batch [0099]/[1880] Speed: 192.003872 samples/sec accuracy=65.828125 loss=1.364173 lr=0.003814 Epoch[123] Batch [0149]/[1880] Speed: 192.899227 samples/sec accuracy=65.468750 loss=1.384401 lr=0.003812 Epoch[123] Batch [0199]/[1880] Speed: 177.298917 samples/sec accuracy=65.046875 loss=1.397863 lr=0.003810 Epoch[123] Batch [0249]/[1880] Speed: 190.856190 samples/sec accuracy=65.118750 loss=1.395067 lr=0.003807 Epoch[123] Batch [0299]/[1880] Speed: 195.339049 samples/sec accuracy=65.164062 loss=1.392528 lr=0.003805 Epoch[123] Batch [0349]/[1880] Speed: 171.979336 samples/sec accuracy=65.254464 loss=1.393649 lr=0.003803 Epoch[123] Batch [0399]/[1880] Speed: 198.677548 samples/sec accuracy=65.185547 loss=1.396455 lr=0.003800 Epoch[123] Batch [0449]/[1880] Speed: 180.128182 samples/sec accuracy=65.036458 loss=1.402705 lr=0.003798 Epoch[123] Batch [0499]/[1880] Speed: 174.479560 samples/sec accuracy=65.095313 loss=1.403560 lr=0.003795 Epoch[123] Batch [0549]/[1880] Speed: 201.522671 samples/sec accuracy=65.025568 loss=1.405421 lr=0.003793 Epoch[123] Batch [0599]/[1880] Speed: 181.767058 samples/sec accuracy=64.998698 loss=1.407715 lr=0.003791 Epoch[123] Batch [0649]/[1880] Speed: 180.082077 samples/sec accuracy=65.004808 loss=1.406240 lr=0.003788 Epoch[123] Batch [0699]/[1880] Speed: 197.854994 samples/sec accuracy=65.018973 loss=1.405555 lr=0.003786 Epoch[123] Batch [0749]/[1880] Speed: 182.204868 samples/sec accuracy=64.996875 loss=1.405921 lr=0.003784 Epoch[123] Batch [0799]/[1880] Speed: 174.450982 samples/sec accuracy=64.941406 loss=1.408644 lr=0.003781 Epoch[123] Batch [0849]/[1880] Speed: 199.834692 samples/sec accuracy=64.935662 loss=1.408044 lr=0.003779 Epoch[123] Batch [0899]/[1880] Speed: 178.810673 samples/sec accuracy=64.936632 loss=1.408937 lr=0.003777 Epoch[123] Batch [0949]/[1880] Speed: 178.070390 samples/sec accuracy=64.909539 loss=1.411095 lr=0.003774 Epoch[123] Batch [0999]/[1880] Speed: 192.112836 samples/sec accuracy=64.971094 loss=1.408233 lr=0.003772 Epoch[123] Batch [1049]/[1880] Speed: 181.063076 samples/sec accuracy=64.982887 loss=1.408979 lr=0.003770 Epoch[123] Batch [1099]/[1880] Speed: 186.700676 samples/sec accuracy=64.988636 loss=1.408726 lr=0.003767 Epoch[123] Batch [1149]/[1880] Speed: 194.860585 samples/sec accuracy=64.985734 loss=1.409039 lr=0.003765 Epoch[123] Batch [1199]/[1880] Speed: 169.132951 samples/sec accuracy=64.973307 loss=1.410430 lr=0.003763 Epoch[123] Batch [1249]/[1880] Speed: 189.018027 samples/sec accuracy=64.972500 loss=1.410227 lr=0.003760 Epoch[123] Batch [1299]/[1880] Speed: 204.323115 samples/sec accuracy=64.968149 loss=1.411880 lr=0.003758 Epoch[123] Batch [1349]/[1880] Speed: 173.114672 samples/sec accuracy=64.949653 loss=1.412501 lr=0.003755 Epoch[123] Batch [1399]/[1880] Speed: 193.302073 samples/sec accuracy=64.943638 loss=1.412071 lr=0.003753 Epoch[123] Batch [1449]/[1880] Speed: 177.430046 samples/sec accuracy=64.942349 loss=1.411718 lr=0.003751 Epoch[123] Batch [1499]/[1880] Speed: 193.964855 samples/sec accuracy=64.932292 loss=1.411963 lr=0.003748 Epoch[123] Batch [1549]/[1880] Speed: 188.892211 samples/sec accuracy=64.901714 loss=1.414467 lr=0.003746 Epoch[123] Batch [1599]/[1880] Speed: 177.750242 samples/sec accuracy=64.881836 loss=1.414671 lr=0.003744 Epoch[123] Batch [1649]/[1880] Speed: 202.352456 samples/sec accuracy=64.868371 loss=1.416113 lr=0.003741 Epoch[123] Batch [1699]/[1880] Speed: 164.993392 samples/sec accuracy=64.860294 loss=1.416694 lr=0.003739 Epoch[123] Batch [1749]/[1880] Speed: 202.279035 samples/sec accuracy=64.839286 loss=1.417613 lr=0.003737 Epoch[123] Batch [1799]/[1880] Speed: 181.768014 samples/sec accuracy=64.799045 loss=1.418930 lr=0.003734 Epoch[123] Batch [1849]/[1880] Speed: 182.127293 samples/sec accuracy=64.759713 loss=1.420769 lr=0.003732 Batch [0049]/[0151]: acc-top1=46.281250 acc-top5=71.046875 Batch [0099]/[0151]: acc-top1=50.500000 acc-top5=73.328125 Batch [0149]/[0151]: acc-top1=49.515625 acc-top5=73.380208 [Epoch 123] training: accuracy=64.729056 loss=1.421973 [Epoch 123] speed: 184 samples/sec time cost: 1418.823884 [Epoch 123] validation: acc-top1=49.472268 acc-top5=73.354719 loss=2.245205 Epoch[124] Batch [0049]/[1880] Speed: 132.853802 samples/sec accuracy=67.015625 loss=1.331791 lr=0.003728 Epoch[124] Batch [0099]/[1880] Speed: 191.771254 samples/sec accuracy=66.281250 loss=1.362499 lr=0.003726 Epoch[124] Batch [0149]/[1880] Speed: 181.263289 samples/sec accuracy=66.093750 loss=1.371731 lr=0.003723 Epoch[124] Batch [0199]/[1880] Speed: 193.200871 samples/sec accuracy=66.027344 loss=1.369271 lr=0.003721 Epoch[124] Batch [0249]/[1880] Speed: 188.408522 samples/sec accuracy=65.934375 loss=1.378987 lr=0.003719 Epoch[124] Batch [0299]/[1880] Speed: 176.707138 samples/sec accuracy=65.804688 loss=1.382695 lr=0.003716 Epoch[124] Batch [0349]/[1880] Speed: 190.668462 samples/sec accuracy=65.687500 loss=1.390080 lr=0.003714 Epoch[124] Batch [0399]/[1880] Speed: 181.174048 samples/sec accuracy=65.722656 loss=1.387215 lr=0.003712 Epoch[124] Batch [0449]/[1880] Speed: 183.396496 samples/sec accuracy=65.772569 loss=1.386282 lr=0.003709 Epoch[124] Batch [0499]/[1880] Speed: 199.241551 samples/sec accuracy=65.712500 loss=1.388665 lr=0.003707 Epoch[124] Batch [0549]/[1880] Speed: 177.243445 samples/sec accuracy=65.688920 loss=1.388737 lr=0.003705 Epoch[124] Batch [0599]/[1880] Speed: 183.381815 samples/sec accuracy=65.712240 loss=1.389985 lr=0.003702 Epoch[124] Batch [0649]/[1880] Speed: 185.126143 samples/sec accuracy=65.655048 loss=1.390621 lr=0.003700 Epoch[124] Batch [0699]/[1880] Speed: 182.812535 samples/sec accuracy=65.604911 loss=1.391624 lr=0.003698 Epoch[124] Batch [0749]/[1880] Speed: 197.693429 samples/sec accuracy=65.648958 loss=1.391346 lr=0.003695 Epoch[124] Batch [0799]/[1880] Speed: 170.342903 samples/sec accuracy=65.629883 loss=1.391264 lr=0.003693 Epoch[124] Batch [0849]/[1880] Speed: 208.549799 samples/sec accuracy=65.690257 loss=1.389007 lr=0.003691 Epoch[124] Batch [0899]/[1880] Speed: 163.952578 samples/sec accuracy=65.647569 loss=1.391216 lr=0.003688 Epoch[124] Batch [0949]/[1880] Speed: 196.782776 samples/sec accuracy=65.600329 loss=1.391783 lr=0.003686 Epoch[124] Batch [0999]/[1880] Speed: 194.351590 samples/sec accuracy=65.583594 loss=1.392412 lr=0.003684 Epoch[124] Batch [1049]/[1880] Speed: 172.198186 samples/sec accuracy=65.585565 loss=1.392291 lr=0.003681 Epoch[124] Batch [1099]/[1880] Speed: 201.604678 samples/sec accuracy=65.568182 loss=1.393182 lr=0.003679 Epoch[124] Batch [1149]/[1880] Speed: 175.130699 samples/sec accuracy=65.534647 loss=1.394838 lr=0.003677 Epoch[124] Batch [1199]/[1880] Speed: 195.695236 samples/sec accuracy=65.532552 loss=1.394678 lr=0.003674 Epoch[124] Batch [1249]/[1880] Speed: 186.092625 samples/sec accuracy=65.543125 loss=1.393586 lr=0.003672 Epoch[124] Batch [1299]/[1880] Speed: 174.053802 samples/sec accuracy=65.490986 loss=1.396148 lr=0.003669 Epoch[124] Batch [1349]/[1880] Speed: 190.088492 samples/sec accuracy=65.484375 loss=1.396793 lr=0.003667 Epoch[124] Batch [1399]/[1880] Speed: 184.209578 samples/sec accuracy=65.465402 loss=1.398603 lr=0.003665 Epoch[124] Batch [1449]/[1880] Speed: 192.378085 samples/sec accuracy=65.437500 loss=1.399859 lr=0.003662 Epoch[124] Batch [1499]/[1880] Speed: 173.966064 samples/sec accuracy=65.429167 loss=1.400312 lr=0.003660 Epoch[124] Batch [1549]/[1880] Speed: 202.878519 samples/sec accuracy=65.399698 loss=1.401031 lr=0.003658 Epoch[124] Batch [1599]/[1880] Speed: 176.514226 samples/sec accuracy=65.364258 loss=1.402075 lr=0.003655 Epoch[124] Batch [1649]/[1880] Speed: 183.275103 samples/sec accuracy=65.364583 loss=1.401915 lr=0.003653 Epoch[124] Batch [1699]/[1880] Speed: 199.504425 samples/sec accuracy=65.410386 loss=1.401254 lr=0.003651 Epoch[124] Batch [1749]/[1880] Speed: 178.213826 samples/sec accuracy=65.391518 loss=1.401672 lr=0.003648 Epoch[124] Batch [1799]/[1880] Speed: 178.018407 samples/sec accuracy=65.375868 loss=1.401724 lr=0.003646 Epoch[124] Batch [1849]/[1880] Speed: 202.891988 samples/sec accuracy=65.344172 loss=1.402165 lr=0.003644 Batch [0049]/[0151]: acc-top1=47.640625 acc-top5=71.968750 Batch [0099]/[0151]: acc-top1=50.882812 acc-top5=73.781250 Batch [0149]/[0151]: acc-top1=49.989583 acc-top5=73.661458 [Epoch 124] training: accuracy=65.347407 loss=1.402031 [Epoch 124] speed: 184 samples/sec time cost: 1419.857055 [Epoch 124] validation: acc-top1=49.937914 acc-top5=73.628932 loss=2.270508 Epoch[125] Batch [0049]/[1880] Speed: 134.249273 samples/sec accuracy=65.781250 loss=1.386157 lr=0.003640 Epoch[125] Batch [0099]/[1880] Speed: 179.008973 samples/sec accuracy=65.945312 loss=1.369308 lr=0.003638 Epoch[125] Batch [0149]/[1880] Speed: 203.100126 samples/sec accuracy=65.713542 loss=1.380163 lr=0.003635 Epoch[125] Batch [0199]/[1880] Speed: 168.135186 samples/sec accuracy=65.617188 loss=1.385234 lr=0.003633 Epoch[125] Batch [0249]/[1880] Speed: 197.684166 samples/sec accuracy=65.743750 loss=1.378384 lr=0.003631 Epoch[125] Batch [0299]/[1880] Speed: 174.424301 samples/sec accuracy=65.723958 loss=1.378101 lr=0.003628 Epoch[125] Batch [0349]/[1880] Speed: 189.759563 samples/sec accuracy=65.718750 loss=1.376276 lr=0.003626 Epoch[125] Batch [0399]/[1880] Speed: 194.464868 samples/sec accuracy=65.658203 loss=1.378725 lr=0.003624 Epoch[125] Batch [0449]/[1880] Speed: 187.275674 samples/sec accuracy=65.647569 loss=1.376758 lr=0.003621 Epoch[125] Batch [0499]/[1880] Speed: 184.531452 samples/sec accuracy=65.689062 loss=1.373671 lr=0.003619 Epoch[125] Batch [0549]/[1880] Speed: 175.669131 samples/sec accuracy=65.788352 loss=1.369372 lr=0.003617 Epoch[125] Batch [0599]/[1880] Speed: 192.925210 samples/sec accuracy=65.731771 loss=1.372766 lr=0.003614 Epoch[125] Batch [0649]/[1880] Speed: 174.137177 samples/sec accuracy=65.753606 loss=1.373569 lr=0.003612 Epoch[125] Batch [0699]/[1880] Speed: 194.328310 samples/sec accuracy=65.724330 loss=1.375911 lr=0.003610 Epoch[125] Batch [0749]/[1880] Speed: 201.934076 samples/sec accuracy=65.648958 loss=1.377830 lr=0.003607 Epoch[125] Batch [0799]/[1880] Speed: 176.088623 samples/sec accuracy=65.630859 loss=1.378233 lr=0.003605 Epoch[125] Batch [0849]/[1880] Speed: 184.727063 samples/sec accuracy=65.638787 loss=1.379002 lr=0.003603 Epoch[125] Batch [0899]/[1880] Speed: 190.590437 samples/sec accuracy=65.647569 loss=1.378643 lr=0.003600 Epoch[125] Batch [0949]/[1880] Speed: 175.945766 samples/sec accuracy=65.679276 loss=1.376160 lr=0.003598 Epoch[125] Batch [0999]/[1880] Speed: 200.978859 samples/sec accuracy=65.657813 loss=1.376617 lr=0.003596 Epoch[125] Batch [1049]/[1880] Speed: 172.058631 samples/sec accuracy=65.645089 loss=1.376181 lr=0.003593 Epoch[125] Batch [1099]/[1880] Speed: 188.183943 samples/sec accuracy=65.635653 loss=1.377693 lr=0.003591 Epoch[125] Batch [1149]/[1880] Speed: 197.050968 samples/sec accuracy=65.605299 loss=1.379387 lr=0.003589 Epoch[125] Batch [1199]/[1880] Speed: 178.855745 samples/sec accuracy=65.552083 loss=1.382509 lr=0.003586 Epoch[125] Batch [1249]/[1880] Speed: 188.819094 samples/sec accuracy=65.599375 loss=1.382015 lr=0.003584 Epoch[125] Batch [1299]/[1880] Speed: 178.248966 samples/sec accuracy=65.576322 loss=1.383830 lr=0.003582 Epoch[125] Batch [1349]/[1880] Speed: 194.826065 samples/sec accuracy=65.593171 loss=1.383448 lr=0.003579 Epoch[125] Batch [1399]/[1880] Speed: 192.864265 samples/sec accuracy=65.549107 loss=1.386085 lr=0.003577 Epoch[125] Batch [1449]/[1880] Speed: 172.486926 samples/sec accuracy=65.524784 loss=1.387967 lr=0.003575 Epoch[125] Batch [1499]/[1880] Speed: 190.158979 samples/sec accuracy=65.490625 loss=1.389383 lr=0.003572 Epoch[125] Batch [1549]/[1880] Speed: 178.697268 samples/sec accuracy=65.450101 loss=1.390454 lr=0.003570 Epoch[125] Batch [1599]/[1880] Speed: 197.359813 samples/sec accuracy=65.431152 loss=1.391419 lr=0.003568 Epoch[125] Batch [1649]/[1880] Speed: 170.818377 samples/sec accuracy=65.453125 loss=1.390456 lr=0.003565 Epoch[125] Batch [1699]/[1880] Speed: 199.516107 samples/sec accuracy=65.459559 loss=1.390622 lr=0.003563 Epoch[125] Batch [1749]/[1880] Speed: 193.052695 samples/sec accuracy=65.441071 loss=1.390946 lr=0.003561 Epoch[125] Batch [1799]/[1880] Speed: 179.712879 samples/sec accuracy=65.427517 loss=1.392116 lr=0.003558 Epoch[125] Batch [1849]/[1880] Speed: 193.901505 samples/sec accuracy=65.424409 loss=1.392507 lr=0.003556 Batch [0049]/[0151]: acc-top1=47.765625 acc-top5=71.531250 Batch [0099]/[0151]: acc-top1=51.070312 acc-top5=73.828125 Batch [0149]/[0151]: acc-top1=50.046875 acc-top5=73.567708 [Epoch 125] training: accuracy=65.392287 loss=1.393317 [Epoch 125] speed: 184 samples/sec time cost: 1418.584026 [Epoch 125] validation: acc-top1=49.968957 acc-top5=73.504760 loss=2.246001 Epoch[126] Batch [0049]/[1880] Speed: 135.925742 samples/sec accuracy=66.421875 loss=1.338910 lr=0.003552 Epoch[126] Batch [0099]/[1880] Speed: 191.813140 samples/sec accuracy=66.601562 loss=1.338674 lr=0.003550 Epoch[126] Batch [0149]/[1880] Speed: 173.245920 samples/sec accuracy=66.619792 loss=1.343491 lr=0.003548 Epoch[126] Batch [0199]/[1880] Speed: 200.066423 samples/sec accuracy=66.429688 loss=1.348954 lr=0.003545 Epoch[126] Batch [0249]/[1880] Speed: 183.293216 samples/sec accuracy=66.440625 loss=1.349688 lr=0.003543 Epoch[126] Batch [0299]/[1880] Speed: 184.757348 samples/sec accuracy=66.359375 loss=1.353872 lr=0.003541 Epoch[126] Batch [0349]/[1880] Speed: 186.523769 samples/sec accuracy=66.379464 loss=1.352527 lr=0.003538 Epoch[126] Batch [0399]/[1880] Speed: 183.379124 samples/sec accuracy=66.460938 loss=1.347743 lr=0.003536 Epoch[126] Batch [0449]/[1880] Speed: 196.042548 samples/sec accuracy=66.324653 loss=1.350937 lr=0.003534 Epoch[126] Batch [0499]/[1880] Speed: 167.101871 samples/sec accuracy=66.328125 loss=1.351396 lr=0.003531 Epoch[126] Batch [0549]/[1880] Speed: 204.951598 samples/sec accuracy=66.316761 loss=1.352982 lr=0.003529 Epoch[126] Batch [0599]/[1880] Speed: 176.129948 samples/sec accuracy=66.277344 loss=1.355948 lr=0.003527 Epoch[126] Batch [0649]/[1880] Speed: 198.719736 samples/sec accuracy=66.259615 loss=1.358608 lr=0.003524 Epoch[126] Batch [0699]/[1880] Speed: 185.094285 samples/sec accuracy=66.250000 loss=1.359398 lr=0.003522 Epoch[126] Batch [0749]/[1880] Speed: 177.457863 samples/sec accuracy=66.231250 loss=1.360440 lr=0.003520 Epoch[126] Batch [0799]/[1880] Speed: 202.411514 samples/sec accuracy=66.238281 loss=1.359834 lr=0.003517 Epoch[126] Batch [0849]/[1880] Speed: 175.871639 samples/sec accuracy=66.202206 loss=1.360345 lr=0.003515 Epoch[126] Batch [0899]/[1880] Speed: 183.374517 samples/sec accuracy=66.153646 loss=1.363451 lr=0.003513 Epoch[126] Batch [0949]/[1880] Speed: 182.306517 samples/sec accuracy=66.070724 loss=1.367212 lr=0.003510 Epoch[126] Batch [0999]/[1880] Speed: 191.659521 samples/sec accuracy=66.075000 loss=1.366510 lr=0.003508 Epoch[126] Batch [1049]/[1880] Speed: 195.625960 samples/sec accuracy=66.032738 loss=1.368168 lr=0.003506 Epoch[126] Batch [1099]/[1880] Speed: 176.365252 samples/sec accuracy=66.009943 loss=1.367451 lr=0.003504 Epoch[126] Batch [1149]/[1880] Speed: 177.672478 samples/sec accuracy=66.023777 loss=1.367292 lr=0.003501 Epoch[126] Batch [1199]/[1880] Speed: 187.862786 samples/sec accuracy=66.008464 loss=1.368135 lr=0.003499 Epoch[126] Batch [1249]/[1880] Speed: 202.023908 samples/sec accuracy=65.988750 loss=1.368796 lr=0.003497 Epoch[126] Batch [1299]/[1880] Speed: 161.541833 samples/sec accuracy=65.966947 loss=1.369828 lr=0.003494 Epoch[126] Batch [1349]/[1880] Speed: 207.428180 samples/sec accuracy=65.972222 loss=1.369834 lr=0.003492 Epoch[126] Batch [1399]/[1880] Speed: 188.279023 samples/sec accuracy=65.944754 loss=1.371081 lr=0.003490 Epoch[126] Batch [1449]/[1880] Speed: 176.590665 samples/sec accuracy=65.940733 loss=1.371162 lr=0.003487 Epoch[126] Batch [1499]/[1880] Speed: 195.978005 samples/sec accuracy=65.918750 loss=1.371951 lr=0.003485 Epoch[126] Batch [1549]/[1880] Speed: 184.168721 samples/sec accuracy=65.888609 loss=1.372428 lr=0.003483 Epoch[126] Batch [1599]/[1880] Speed: 186.661713 samples/sec accuracy=65.857910 loss=1.372759 lr=0.003480 Epoch[126] Batch [1649]/[1880] Speed: 179.055870 samples/sec accuracy=65.844223 loss=1.373794 lr=0.003478 Epoch[126] Batch [1699]/[1880] Speed: 190.303497 samples/sec accuracy=65.782629 loss=1.376037 lr=0.003476 Epoch[126] Batch [1749]/[1880] Speed: 184.989529 samples/sec accuracy=65.773661 loss=1.376838 lr=0.003473 Epoch[126] Batch [1799]/[1880] Speed: 185.223563 samples/sec accuracy=65.749566 loss=1.377090 lr=0.003471 Epoch[126] Batch [1849]/[1880] Speed: 188.201220 samples/sec accuracy=65.739020 loss=1.377835 lr=0.003469 Batch [0049]/[0151]: acc-top1=47.250000 acc-top5=71.640625 Batch [0099]/[0151]: acc-top1=51.132812 acc-top5=74.062500 Batch [0149]/[0151]: acc-top1=50.239583 acc-top5=73.953125 [Epoch 126] training: accuracy=65.728890 loss=1.378390 [Epoch 126] speed: 184 samples/sec time cost: 1417.017458 [Epoch 126] validation: acc-top1=50.186258 acc-top5=73.918667 loss=2.234527 Epoch[127] Batch [0049]/[1880] Speed: 132.558177 samples/sec accuracy=66.265625 loss=1.347121 lr=0.003465 Epoch[127] Batch [0099]/[1880] Speed: 193.684999 samples/sec accuracy=66.515625 loss=1.333437 lr=0.003463 Epoch[127] Batch [0149]/[1880] Speed: 175.414519 samples/sec accuracy=66.515625 loss=1.333756 lr=0.003460 Epoch[127] Batch [0199]/[1880] Speed: 191.998792 samples/sec accuracy=66.425781 loss=1.334825 lr=0.003458 Epoch[127] Batch [0249]/[1880] Speed: 181.567044 samples/sec accuracy=66.393750 loss=1.338328 lr=0.003456 Epoch[127] Batch [0299]/[1880] Speed: 192.864955 samples/sec accuracy=66.351562 loss=1.338023 lr=0.003454 Epoch[127] Batch [0349]/[1880] Speed: 189.623059 samples/sec accuracy=66.366071 loss=1.341634 lr=0.003451 Epoch[127] Batch [0399]/[1880] Speed: 184.989373 samples/sec accuracy=66.324219 loss=1.344127 lr=0.003449 Epoch[127] Batch [0449]/[1880] Speed: 170.787919 samples/sec accuracy=66.270833 loss=1.348080 lr=0.003447 Epoch[127] Batch [0499]/[1880] Speed: 201.037248 samples/sec accuracy=66.275000 loss=1.348523 lr=0.003444 Epoch[127] Batch [0549]/[1880] Speed: 186.724593 samples/sec accuracy=66.319602 loss=1.348099 lr=0.003442 Epoch[127] Batch [0599]/[1880] Speed: 173.919021 samples/sec accuracy=66.290365 loss=1.347834 lr=0.003440 Epoch[127] Batch [0649]/[1880] Speed: 197.546179 samples/sec accuracy=66.317308 loss=1.347731 lr=0.003437 Epoch[127] Batch [0699]/[1880] Speed: 176.282410 samples/sec accuracy=66.334821 loss=1.347826 lr=0.003435 Epoch[127] Batch [0749]/[1880] Speed: 181.622665 samples/sec accuracy=66.288542 loss=1.350802 lr=0.003433 Epoch[127] Batch [0799]/[1880] Speed: 197.678648 samples/sec accuracy=66.250000 loss=1.352813 lr=0.003430 Epoch[127] Batch [0849]/[1880] Speed: 166.076940 samples/sec accuracy=66.243566 loss=1.352723 lr=0.003428 Epoch[127] Batch [0899]/[1880] Speed: 207.059171 samples/sec accuracy=66.245660 loss=1.353283 lr=0.003426 Epoch[127] Batch [0949]/[1880] Speed: 179.310046 samples/sec accuracy=66.211349 loss=1.353140 lr=0.003424 Epoch[127] Batch [0999]/[1880] Speed: 182.051420 samples/sec accuracy=66.240625 loss=1.352410 lr=0.003421 Epoch[127] Batch [1049]/[1880] Speed: 189.767499 samples/sec accuracy=66.226190 loss=1.352776 lr=0.003419 Epoch[127] Batch [1099]/[1880] Speed: 184.504484 samples/sec accuracy=66.217330 loss=1.353931 lr=0.003417 Epoch[127] Batch [1149]/[1880] Speed: 184.826713 samples/sec accuracy=66.156929 loss=1.355430 lr=0.003414 Epoch[127] Batch [1199]/[1880] Speed: 199.183980 samples/sec accuracy=66.133464 loss=1.355997 lr=0.003412 Epoch[127] Batch [1249]/[1880] Speed: 171.098656 samples/sec accuracy=66.110625 loss=1.357486 lr=0.003410 Epoch[127] Batch [1299]/[1880] Speed: 190.426889 samples/sec accuracy=66.063101 loss=1.359505 lr=0.003407 Epoch[127] Batch [1349]/[1880] Speed: 194.273430 samples/sec accuracy=66.049190 loss=1.359687 lr=0.003405 Epoch[127] Batch [1399]/[1880] Speed: 177.718651 samples/sec accuracy=66.037388 loss=1.359442 lr=0.003403 Epoch[127] Batch [1449]/[1880] Speed: 189.611096 samples/sec accuracy=66.002155 loss=1.361533 lr=0.003400 Epoch[127] Batch [1499]/[1880] Speed: 173.566998 samples/sec accuracy=65.996354 loss=1.362396 lr=0.003398 Epoch[127] Batch [1549]/[1880] Speed: 192.652794 samples/sec accuracy=65.960685 loss=1.363150 lr=0.003396 Epoch[127] Batch [1599]/[1880] Speed: 182.458007 samples/sec accuracy=65.924316 loss=1.364318 lr=0.003394 Epoch[127] Batch [1649]/[1880] Speed: 188.174936 samples/sec accuracy=65.884943 loss=1.366687 lr=0.003391 Epoch[127] Batch [1699]/[1880] Speed: 185.673734 samples/sec accuracy=65.897059 loss=1.366493 lr=0.003389 Epoch[127] Batch [1749]/[1880] Speed: 193.568977 samples/sec accuracy=65.860268 loss=1.368347 lr=0.003387 Epoch[127] Batch [1799]/[1880] Speed: 173.027296 samples/sec accuracy=65.817708 loss=1.369065 lr=0.003384 Epoch[127] Batch [1849]/[1880] Speed: 193.119835 samples/sec accuracy=65.820946 loss=1.369993 lr=0.003382 Batch [0049]/[0151]: acc-top1=46.515625 acc-top5=70.984375 Batch [0099]/[0151]: acc-top1=50.468750 acc-top5=73.539062 Batch [0149]/[0151]: acc-top1=49.630208 acc-top5=73.598958 [Epoch 127] training: accuracy=65.799535 loss=1.371132 [Epoch 127] speed: 184 samples/sec time cost: 1421.017011 [Epoch 127] validation: acc-top1=49.575745 acc-top5=73.572020 loss=2.266400 Epoch[128] Batch [0049]/[1879] Speed: 133.312949 samples/sec accuracy=66.953125 loss=1.346609 lr=0.003378 Epoch[128] Batch [0099]/[1879] Speed: 184.833320 samples/sec accuracy=66.781250 loss=1.340504 lr=0.003376 Epoch[128] Batch [0149]/[1879] Speed: 191.408404 samples/sec accuracy=66.729167 loss=1.335990 lr=0.003374 Epoch[128] Batch [0199]/[1879] Speed: 177.450781 samples/sec accuracy=66.781250 loss=1.336828 lr=0.003372 Epoch[128] Batch [0249]/[1879] Speed: 193.797879 samples/sec accuracy=66.890625 loss=1.333133 lr=0.003369 Epoch[128] Batch [0299]/[1879] Speed: 198.989731 samples/sec accuracy=66.919271 loss=1.335175 lr=0.003367 Epoch[128] Batch [0349]/[1879] Speed: 171.012559 samples/sec accuracy=66.895089 loss=1.334676 lr=0.003365 Epoch[128] Batch [0399]/[1879] Speed: 203.678180 samples/sec accuracy=66.843750 loss=1.335345 lr=0.003362 Epoch[128] Batch [0449]/[1879] Speed: 169.536929 samples/sec accuracy=66.798611 loss=1.335250 lr=0.003360 Epoch[128] Batch [0499]/[1879] Speed: 190.405599 samples/sec accuracy=66.665625 loss=1.341196 lr=0.003358 Epoch[128] Batch [0549]/[1879] Speed: 178.666391 samples/sec accuracy=66.598011 loss=1.343914 lr=0.003355 Epoch[128] Batch [0599]/[1879] Speed: 193.661553 samples/sec accuracy=66.569010 loss=1.345676 lr=0.003353 Epoch[128] Batch [0649]/[1879] Speed: 183.313893 samples/sec accuracy=66.524038 loss=1.347650 lr=0.003351 Epoch[128] Batch [0699]/[1879] Speed: 184.534251 samples/sec accuracy=66.534598 loss=1.347628 lr=0.003349 Epoch[128] Batch [0749]/[1879] Speed: 193.322497 samples/sec accuracy=66.517708 loss=1.347765 lr=0.003346 Epoch[128] Batch [0799]/[1879] Speed: 171.066916 samples/sec accuracy=66.500977 loss=1.348299 lr=0.003344 Epoch[128] Batch [0849]/[1879] Speed: 195.739686 samples/sec accuracy=66.452206 loss=1.350354 lr=0.003342 Epoch[128] Batch [0899]/[1879] Speed: 191.517444 samples/sec accuracy=66.395833 loss=1.352141 lr=0.003339 Epoch[128] Batch [0949]/[1879] Speed: 169.043199 samples/sec accuracy=66.368421 loss=1.352956 lr=0.003337 Epoch[128] Batch [0999]/[1879] Speed: 206.623703 samples/sec accuracy=66.391406 loss=1.352204 lr=0.003335 Epoch[128] Batch [1049]/[1879] Speed: 184.856590 samples/sec accuracy=66.395089 loss=1.352443 lr=0.003332 Epoch[128] Batch [1099]/[1879] Speed: 175.603811 samples/sec accuracy=66.397727 loss=1.351854 lr=0.003330 Epoch[128] Batch [1149]/[1879] Speed: 190.577833 samples/sec accuracy=66.406929 loss=1.351607 lr=0.003328 Epoch[128] Batch [1199]/[1879] Speed: 179.607618 samples/sec accuracy=66.408203 loss=1.351345 lr=0.003326 Epoch[128] Batch [1249]/[1879] Speed: 184.316360 samples/sec accuracy=66.416875 loss=1.350904 lr=0.003323 Epoch[128] Batch [1299]/[1879] Speed: 200.856140 samples/sec accuracy=66.412861 loss=1.350983 lr=0.003321 Epoch[128] Batch [1349]/[1879] Speed: 178.706949 samples/sec accuracy=66.385417 loss=1.350893 lr=0.003319 Epoch[128] Batch [1399]/[1879] Speed: 185.875690 samples/sec accuracy=66.378348 loss=1.351555 lr=0.003316 Epoch[128] Batch [1449]/[1879] Speed: 197.022677 samples/sec accuracy=66.412716 loss=1.350656 lr=0.003314 Epoch[128] Batch [1499]/[1879] Speed: 166.858305 samples/sec accuracy=66.380208 loss=1.351368 lr=0.003312 Epoch[128] Batch [1549]/[1879] Speed: 198.632805 samples/sec accuracy=66.353327 loss=1.352161 lr=0.003310 Epoch[128] Batch [1599]/[1879] Speed: 175.377548 samples/sec accuracy=66.379395 loss=1.351453 lr=0.003307 Epoch[128] Batch [1649]/[1879] Speed: 192.209225 samples/sec accuracy=66.378788 loss=1.351509 lr=0.003305 Epoch[128] Batch [1699]/[1879] Speed: 188.374992 samples/sec accuracy=66.335478 loss=1.352552 lr=0.003303 Epoch[128] Batch [1749]/[1879] Speed: 190.460969 samples/sec accuracy=66.318750 loss=1.354307 lr=0.003300 Epoch[128] Batch [1799]/[1879] Speed: 173.479496 samples/sec accuracy=66.308594 loss=1.354557 lr=0.003298 Epoch[128] Batch [1849]/[1879] Speed: 199.678168 samples/sec accuracy=66.296875 loss=1.354626 lr=0.003296 Batch [0049]/[0151]: acc-top1=47.968750 acc-top5=71.437500 Batch [0099]/[0151]: acc-top1=51.515625 acc-top5=73.726562 Batch [0149]/[0151]: acc-top1=50.630208 acc-top5=74.005208 [Epoch 128] training: accuracy=66.312284 loss=1.354699 [Epoch 128] speed: 184 samples/sec time cost: 1417.963967 [Epoch 128] validation: acc-top1=50.569123 acc-top5=73.965232 loss=2.242264 Epoch[129] Batch [0049]/[1880] Speed: 132.348875 samples/sec accuracy=67.812500 loss=1.275317 lr=0.003292 Epoch[129] Batch [0099]/[1880] Speed: 201.450770 samples/sec accuracy=67.070312 loss=1.309305 lr=0.003290 Epoch[129] Batch [0149]/[1880] Speed: 170.965040 samples/sec accuracy=67.005208 loss=1.313691 lr=0.003288 Epoch[129] Batch [0199]/[1880] Speed: 191.161391 samples/sec accuracy=67.265625 loss=1.310491 lr=0.003285 Epoch[129] Batch [0249]/[1880] Speed: 181.288161 samples/sec accuracy=67.268750 loss=1.311277 lr=0.003283 Epoch[129] Batch [0299]/[1880] Speed: 190.301038 samples/sec accuracy=67.335938 loss=1.310332 lr=0.003281 Epoch[129] Batch [0349]/[1880] Speed: 184.336964 samples/sec accuracy=67.261161 loss=1.313814 lr=0.003279 Epoch[129] Batch [0399]/[1880] Speed: 172.235640 samples/sec accuracy=67.207031 loss=1.315075 lr=0.003276 Epoch[129] Batch [0449]/[1880] Speed: 205.078231 samples/sec accuracy=67.060764 loss=1.321789 lr=0.003274 Epoch[129] Batch [0499]/[1880] Speed: 184.727984 samples/sec accuracy=66.921875 loss=1.326089 lr=0.003272 Epoch[129] Batch [0549]/[1880] Speed: 184.433886 samples/sec accuracy=66.896307 loss=1.329245 lr=0.003269 Epoch[129] Batch [0599]/[1880] Speed: 191.332037 samples/sec accuracy=66.899740 loss=1.330968 lr=0.003267 Epoch[129] Batch [0649]/[1880] Speed: 173.417511 samples/sec accuracy=66.830529 loss=1.332348 lr=0.003265 Epoch[129] Batch [0699]/[1880] Speed: 198.132766 samples/sec accuracy=66.813616 loss=1.334681 lr=0.003263 Epoch[129] Batch [0749]/[1880] Speed: 175.833128 samples/sec accuracy=66.747917 loss=1.335947 lr=0.003260 Epoch[129] Batch [0799]/[1880] Speed: 199.432473 samples/sec accuracy=66.749023 loss=1.335440 lr=0.003258 Epoch[129] Batch [0849]/[1880] Speed: 175.485695 samples/sec accuracy=66.815257 loss=1.334382 lr=0.003256 Epoch[129] Batch 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accuracy=66.781250 loss=1.335045 lr=0.003233 Epoch[129] Batch [1399]/[1880] Speed: 181.929899 samples/sec accuracy=66.767299 loss=1.334613 lr=0.003231 Epoch[129] Batch [1449]/[1880] Speed: 197.313752 samples/sec accuracy=66.740302 loss=1.335071 lr=0.003228 Epoch[129] Batch [1499]/[1880] Speed: 187.578010 samples/sec accuracy=66.725000 loss=1.336915 lr=0.003226 Epoch[129] Batch [1549]/[1880] Speed: 173.139723 samples/sec accuracy=66.694556 loss=1.338962 lr=0.003224 Epoch[129] Batch [1599]/[1880] Speed: 202.783761 samples/sec accuracy=66.680176 loss=1.339277 lr=0.003222 Epoch[129] Batch [1649]/[1880] Speed: 168.035160 samples/sec accuracy=66.661932 loss=1.340175 lr=0.003219 Epoch[129] Batch [1699]/[1880] Speed: 198.982105 samples/sec accuracy=66.632353 loss=1.341366 lr=0.003217 Epoch[129] Batch [1749]/[1880] Speed: 178.056305 samples/sec accuracy=66.623661 loss=1.342178 lr=0.003215 Epoch[129] Batch [1799]/[1880] Speed: 187.752696 samples/sec accuracy=66.632812 loss=1.342588 lr=0.003213 Epoch[129] Batch [1849]/[1880] Speed: 198.522717 samples/sec accuracy=66.613176 loss=1.342734 lr=0.003210 Batch [0049]/[0151]: acc-top1=46.625000 acc-top5=71.218750 Batch [0099]/[0151]: acc-top1=50.757812 acc-top5=73.593750 Batch [0149]/[0151]: acc-top1=50.041667 acc-top5=73.546875 [Epoch 129] training: accuracy=66.594082 loss=1.343496 [Epoch 129] speed: 184 samples/sec time cost: 1416.600333 [Epoch 129] validation: acc-top1=49.989652 acc-top5=73.509934 loss=2.269607 Epoch[130] Batch [0049]/[1880] Speed: 134.153773 samples/sec accuracy=67.125000 loss=1.325416 lr=0.003207 Epoch[130] Batch [0099]/[1880] Speed: 203.086592 samples/sec accuracy=67.125000 loss=1.331315 lr=0.003204 Epoch[130] Batch [0149]/[1880] Speed: 170.719157 samples/sec accuracy=67.359375 loss=1.318435 lr=0.003202 Epoch[130] Batch [0199]/[1880] Speed: 194.953359 samples/sec accuracy=67.023438 loss=1.328634 lr=0.003200 Epoch[130] Batch [0249]/[1880] Speed: 182.644632 samples/sec accuracy=66.937500 loss=1.325900 lr=0.003198 Epoch[130] Batch [0299]/[1880] Speed: 190.236712 samples/sec accuracy=66.953125 loss=1.322698 lr=0.003195 Epoch[130] Batch [0349]/[1880] Speed: 187.386011 samples/sec accuracy=67.073661 loss=1.318641 lr=0.003193 Epoch[130] Batch [0399]/[1880] Speed: 178.586394 samples/sec accuracy=67.103516 loss=1.314909 lr=0.003191 Epoch[130] Batch [0449]/[1880] Speed: 181.882874 samples/sec accuracy=67.059028 loss=1.315445 lr=0.003189 Epoch[130] Batch [0499]/[1880] Speed: 192.287809 samples/sec accuracy=67.023438 loss=1.318702 lr=0.003186 Epoch[130] Batch [0549]/[1880] Speed: 189.818041 samples/sec accuracy=66.980114 loss=1.320509 lr=0.003184 Epoch[130] Batch [0599]/[1880] Speed: 185.319306 samples/sec accuracy=67.079427 loss=1.319581 lr=0.003182 Epoch[130] Batch [0649]/[1880] Speed: 186.668713 samples/sec accuracy=67.115385 loss=1.318985 lr=0.003180 Epoch[130] Batch [0699]/[1880] Speed: 185.247839 samples/sec accuracy=67.082589 loss=1.321571 lr=0.003177 Epoch[130] Batch [0749]/[1880] Speed: 176.499934 samples/sec accuracy=67.021875 loss=1.322845 lr=0.003175 Epoch[130] Batch [0799]/[1880] Speed: 188.991424 samples/sec accuracy=67.075195 loss=1.320791 lr=0.003173 Epoch[130] Batch [0849]/[1880] Speed: 187.710106 samples/sec accuracy=67.058824 loss=1.322173 lr=0.003170 Epoch[130] Batch [0899]/[1880] Speed: 180.518890 samples/sec accuracy=67.087674 loss=1.320072 lr=0.003168 Epoch[130] Batch [0949]/[1880] Speed: 187.105676 samples/sec accuracy=67.069901 loss=1.321288 lr=0.003166 Epoch[130] Batch [0999]/[1880] Speed: 185.619779 samples/sec accuracy=67.039062 loss=1.322979 lr=0.003164 Epoch[130] Batch [1049]/[1880] Speed: 177.708087 samples/sec accuracy=67.040923 loss=1.323306 lr=0.003161 Epoch[130] Batch [1099]/[1880] Speed: 189.940998 samples/sec accuracy=66.980114 loss=1.326313 lr=0.003159 Epoch[130] Batch [1149]/[1880] Speed: 192.559577 samples/sec accuracy=66.967391 loss=1.327899 lr=0.003157 Epoch[130] Batch [1199]/[1880] Speed: 185.482410 samples/sec accuracy=66.961589 loss=1.328533 lr=0.003155 Epoch[130] Batch [1249]/[1880] Speed: 183.690385 samples/sec accuracy=66.975625 loss=1.328221 lr=0.003152 Epoch[130] Batch [1299]/[1880] Speed: 187.757898 samples/sec accuracy=66.989183 loss=1.327529 lr=0.003150 Epoch[130] Batch [1349]/[1880] Speed: 172.606497 samples/sec accuracy=66.987847 loss=1.328253 lr=0.003148 Epoch[130] Batch [1399]/[1880] Speed: 201.058796 samples/sec accuracy=66.982701 loss=1.327741 lr=0.003146 Epoch[130] Batch [1449]/[1880] Speed: 178.653497 samples/sec accuracy=66.954741 loss=1.328342 lr=0.003143 Epoch[130] Batch [1499]/[1880] Speed: 186.434362 samples/sec accuracy=66.930208 loss=1.329818 lr=0.003141 Epoch[130] Batch [1549]/[1880] Speed: 194.770963 samples/sec accuracy=66.930948 loss=1.330171 lr=0.003139 Epoch[130] Batch [1599]/[1880] Speed: 171.085840 samples/sec accuracy=66.895020 loss=1.331903 lr=0.003137 Epoch[130] Batch [1649]/[1880] Speed: 197.595289 samples/sec accuracy=66.868371 loss=1.332387 lr=0.003134 Epoch[130] Batch [1699]/[1880] Speed: 197.857909 samples/sec accuracy=66.846967 loss=1.333942 lr=0.003132 Epoch[130] Batch [1749]/[1880] Speed: 165.098566 samples/sec accuracy=66.841071 loss=1.333896 lr=0.003130 Epoch[130] Batch [1799]/[1880] Speed: 206.641368 samples/sec accuracy=66.796875 loss=1.335837 lr=0.003128 Epoch[130] Batch [1849]/[1880] Speed: 179.653648 samples/sec accuracy=66.820101 loss=1.334256 lr=0.003125 Batch [0049]/[0151]: acc-top1=48.156250 acc-top5=72.265625 Batch [0099]/[0151]: acc-top1=51.328125 acc-top5=74.390625 Batch [0149]/[0151]: acc-top1=50.630208 acc-top5=74.119792 [Epoch 130] training: accuracy=66.831782 loss=1.333703 [Epoch 130] speed: 184 samples/sec time cost: 1418.811614 [Epoch 130] validation: acc-top1=50.579470 acc-top5=74.079056 loss=2.238792 Epoch[131] Batch [0049]/[1880] Speed: 136.915950 samples/sec accuracy=68.000000 loss=1.287655 lr=0.003122 Epoch[131] Batch [0099]/[1880] Speed: 198.262566 samples/sec accuracy=67.578125 loss=1.286989 lr=0.003119 Epoch[131] Batch [0149]/[1880] Speed: 163.330321 samples/sec accuracy=67.484375 loss=1.292665 lr=0.003117 Epoch[131] Batch [0199]/[1880] Speed: 200.600173 samples/sec accuracy=67.273438 loss=1.310555 lr=0.003115 Epoch[131] Batch [0249]/[1880] Speed: 186.384240 samples/sec accuracy=67.362500 loss=1.306069 lr=0.003113 Epoch[131] Batch [0299]/[1880] Speed: 183.728573 samples/sec accuracy=67.273438 loss=1.308262 lr=0.003110 Epoch[131] Batch [0349]/[1880] Speed: 182.700459 samples/sec accuracy=67.089286 loss=1.314205 lr=0.003108 Epoch[131] Batch [0399]/[1880] Speed: 195.198443 samples/sec accuracy=67.117188 loss=1.316420 lr=0.003106 Epoch[131] Batch [0449]/[1880] Speed: 178.358038 samples/sec accuracy=67.131944 loss=1.315586 lr=0.003104 Epoch[131] Batch [0499]/[1880] Speed: 186.434112 samples/sec accuracy=67.095313 loss=1.318399 lr=0.003101 Epoch[131] Batch [0549]/[1880] Speed: 198.054525 samples/sec accuracy=67.136364 loss=1.318158 lr=0.003099 Epoch[131] Batch [0599]/[1880] Speed: 159.546693 samples/sec accuracy=67.154948 loss=1.319773 lr=0.003097 Epoch[131] Batch [0649]/[1880] Speed: 202.206362 samples/sec accuracy=67.170673 loss=1.319501 lr=0.003095 Epoch[131] Batch [0699]/[1880] Speed: 173.253321 samples/sec accuracy=67.107143 loss=1.321057 lr=0.003092 Epoch[131] Batch [0749]/[1880] Speed: 198.622530 samples/sec accuracy=67.148958 loss=1.319287 lr=0.003090 Epoch[131] Batch [0799]/[1880] Speed: 197.015521 samples/sec accuracy=67.169922 loss=1.317741 lr=0.003088 Epoch[131] Batch [0849]/[1880] Speed: 171.599323 samples/sec accuracy=67.193015 loss=1.317768 lr=0.003086 Epoch[131] Batch [0899]/[1880] Speed: 195.748967 samples/sec accuracy=67.213542 loss=1.316321 lr=0.003083 Epoch[131] Batch [0949]/[1880] Speed: 181.615882 samples/sec accuracy=67.245888 loss=1.314773 lr=0.003081 Epoch[131] Batch [0999]/[1880] Speed: 184.064850 samples/sec accuracy=67.219531 loss=1.316520 lr=0.003079 Epoch[131] Batch [1049]/[1880] Speed: 206.835325 samples/sec accuracy=67.240327 loss=1.316076 lr=0.003077 Epoch[131] Batch [1099]/[1880] Speed: 168.785491 samples/sec accuracy=67.244318 loss=1.315834 lr=0.003075 Epoch[131] Batch [1149]/[1880] Speed: 196.643743 samples/sec accuracy=67.222147 loss=1.316891 lr=0.003072 Epoch[131] Batch [1199]/[1880] Speed: 177.664029 samples/sec accuracy=67.222656 loss=1.316131 lr=0.003070 Epoch[131] Batch [1249]/[1880] Speed: 188.076769 samples/sec accuracy=67.172500 loss=1.317051 lr=0.003068 Epoch[131] Batch [1299]/[1880] Speed: 179.650246 samples/sec accuracy=67.181490 loss=1.317291 lr=0.003066 Epoch[131] Batch [1349]/[1880] Speed: 191.174295 samples/sec accuracy=67.192130 loss=1.317025 lr=0.003063 Epoch[131] Batch [1399]/[1880] Speed: 193.768716 samples/sec accuracy=67.146205 loss=1.317743 lr=0.003061 Epoch[131] Batch [1449]/[1880] Speed: 190.044021 samples/sec accuracy=67.125539 loss=1.319111 lr=0.003059 Epoch[131] Batch [1499]/[1880] Speed: 180.084248 samples/sec accuracy=67.111979 loss=1.320378 lr=0.003057 Epoch[131] Batch [1549]/[1880] Speed: 185.885408 samples/sec accuracy=67.107863 loss=1.320208 lr=0.003054 Epoch[131] Batch [1599]/[1880] Speed: 181.990214 samples/sec accuracy=67.094727 loss=1.321043 lr=0.003052 Epoch[131] Batch [1649]/[1880] Speed: 181.491137 samples/sec accuracy=67.120739 loss=1.320111 lr=0.003050 Epoch[131] Batch [1699]/[1880] Speed: 199.632583 samples/sec accuracy=67.098805 loss=1.320594 lr=0.003048 Epoch[131] Batch [1749]/[1880] Speed: 177.083489 samples/sec accuracy=67.105804 loss=1.319344 lr=0.003045 Epoch[131] Batch [1799]/[1880] Speed: 192.291359 samples/sec accuracy=67.089844 loss=1.319914 lr=0.003043 Epoch[131] Batch [1849]/[1880] Speed: 177.383377 samples/sec accuracy=67.113176 loss=1.319296 lr=0.003041 Batch [0049]/[0151]: acc-top1=48.046875 acc-top5=72.437500 Batch [0099]/[0151]: acc-top1=51.523438 acc-top5=74.531250 Batch [0149]/[0151]: acc-top1=50.916667 acc-top5=74.505208 [Epoch 131] training: accuracy=67.105219 loss=1.319690 [Epoch 131] speed: 184 samples/sec time cost: 1417.552009 [Epoch 131] validation: acc-top1=50.874379 acc-top5=74.467094 loss=2.244041 Epoch[132] Batch [0049]/[1880] Speed: 128.916612 samples/sec accuracy=68.937500 loss=1.226639 lr=0.003037 Epoch[132] Batch [0099]/[1880] Speed: 207.587589 samples/sec accuracy=68.937500 loss=1.230962 lr=0.003035 Epoch[132] Batch [0149]/[1880] Speed: 172.703063 samples/sec accuracy=68.468750 loss=1.249027 lr=0.003033 Epoch[132] Batch [0199]/[1880] Speed: 194.443901 samples/sec accuracy=68.210938 loss=1.268082 lr=0.003031 Epoch[132] Batch [0249]/[1880] Speed: 181.332019 samples/sec accuracy=68.231250 loss=1.265272 lr=0.003028 Epoch[132] Batch [0299]/[1880] Speed: 191.772392 samples/sec accuracy=68.085938 loss=1.268492 lr=0.003026 Epoch[132] Batch [0349]/[1880] Speed: 197.883946 samples/sec accuracy=68.033482 loss=1.275304 lr=0.003024 Epoch[132] Batch [0399]/[1880] Speed: 165.295023 samples/sec accuracy=68.130859 loss=1.274005 lr=0.003022 Epoch[132] Batch [0449]/[1880] Speed: 198.888813 samples/sec accuracy=68.140625 loss=1.276365 lr=0.003019 Epoch[132] Batch [0499]/[1880] Speed: 174.926345 samples/sec accuracy=68.100000 loss=1.279321 lr=0.003017 Epoch[132] Batch [0549]/[1880] Speed: 192.494938 samples/sec accuracy=68.055398 loss=1.280098 lr=0.003015 Epoch[132] Batch [0599]/[1880] Speed: 202.328896 samples/sec accuracy=67.984375 loss=1.286008 lr=0.003013 Epoch[132] Batch [0649]/[1880] Speed: 177.498378 samples/sec accuracy=67.987981 loss=1.285265 lr=0.003011 Epoch[132] Batch [0699]/[1880] Speed: 182.734628 samples/sec accuracy=67.975446 loss=1.284550 lr=0.003008 Epoch[132] Batch [0749]/[1880] Speed: 180.156761 samples/sec accuracy=67.980208 loss=1.285167 lr=0.003006 Epoch[132] Batch [0799]/[1880] Speed: 201.119012 samples/sec accuracy=67.950195 loss=1.287172 lr=0.003004 Epoch[132] Batch [0849]/[1880] Speed: 172.102948 samples/sec accuracy=67.909007 loss=1.288456 lr=0.003002 Epoch[132] Batch [0899]/[1880] Speed: 194.593971 samples/sec accuracy=67.839410 loss=1.288890 lr=0.002999 Epoch[132] Batch [0949]/[1880] Speed: 177.846181 samples/sec accuracy=67.749178 loss=1.291640 lr=0.002997 Epoch[132] Batch [0999]/[1880] Speed: 186.464645 samples/sec accuracy=67.673438 loss=1.293385 lr=0.002995 Epoch[132] Batch [1049]/[1880] Speed: 204.520806 samples/sec accuracy=67.678571 loss=1.293282 lr=0.002993 Epoch[132] Batch [1099]/[1880] Speed: 165.496524 samples/sec accuracy=67.698864 loss=1.293718 lr=0.002991 Epoch[132] Batch [1149]/[1880] Speed: 201.795677 samples/sec accuracy=67.671196 loss=1.294015 lr=0.002988 Epoch[132] Batch [1199]/[1880] Speed: 174.644489 samples/sec accuracy=67.632812 loss=1.294557 lr=0.002986 Epoch[132] Batch [1249]/[1880] Speed: 192.876207 samples/sec accuracy=67.601250 loss=1.296328 lr=0.002984 Epoch[132] Batch [1299]/[1880] Speed: 188.865183 samples/sec accuracy=67.606971 loss=1.296634 lr=0.002982 Epoch[132] Batch [1349]/[1880] Speed: 178.076760 samples/sec accuracy=67.598958 loss=1.297002 lr=0.002979 Epoch[132] Batch 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accuracy=67.384713 loss=1.305626 lr=0.002957 Batch [0049]/[0151]: acc-top1=47.843750 acc-top5=72.843750 Batch [0099]/[0151]: acc-top1=51.562500 acc-top5=74.656250 Batch [0149]/[0151]: acc-top1=50.593750 acc-top5=74.187500 [Epoch 132] training: accuracy=67.372424 loss=1.306293 [Epoch 132] speed: 184 samples/sec time cost: 1416.576547 [Epoch 132] validation: acc-top1=50.563949 acc-top5=74.156664 loss=2.226172 Epoch[133] Batch [0049]/[1879] Speed: 134.535274 samples/sec accuracy=68.609375 loss=1.252484 lr=0.002954 Epoch[133] Batch [0099]/[1879] Speed: 197.955176 samples/sec accuracy=69.000000 loss=1.243504 lr=0.002951 Epoch[133] Batch [0149]/[1879] Speed: 174.372745 samples/sec accuracy=68.968750 loss=1.240866 lr=0.002949 Epoch[133] Batch [0199]/[1879] Speed: 191.149583 samples/sec accuracy=68.667969 loss=1.249193 lr=0.002947 Epoch[133] Batch [0249]/[1879] Speed: 185.320144 samples/sec accuracy=68.468750 loss=1.250517 lr=0.002945 Epoch[133] Batch [0299]/[1879] Speed: 180.393434 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lr=0.002923 Epoch[133] Batch [0799]/[1879] Speed: 165.217121 samples/sec accuracy=67.997070 loss=1.277648 lr=0.002920 Epoch[133] Batch [0849]/[1879] Speed: 206.392435 samples/sec accuracy=67.949449 loss=1.280003 lr=0.002918 Epoch[133] Batch [0899]/[1879] Speed: 186.320416 samples/sec accuracy=67.957465 loss=1.280615 lr=0.002916 Epoch[133] Batch [0949]/[1879] Speed: 175.419321 samples/sec accuracy=67.925164 loss=1.282457 lr=0.002914 Epoch[133] Batch [0999]/[1879] Speed: 202.957775 samples/sec accuracy=67.844531 loss=1.285524 lr=0.002912 Epoch[133] Batch [1049]/[1879] Speed: 167.089807 samples/sec accuracy=67.851190 loss=1.285937 lr=0.002909 Epoch[133] Batch [1099]/[1879] Speed: 211.462067 samples/sec accuracy=67.872869 loss=1.285978 lr=0.002907 Epoch[133] Batch [1149]/[1879] Speed: 164.771682 samples/sec accuracy=67.865489 loss=1.286710 lr=0.002905 Epoch[133] Batch [1199]/[1879] Speed: 200.286228 samples/sec accuracy=67.858073 loss=1.287003 lr=0.002903 Epoch[133] Batch [1249]/[1879] Speed: 182.822657 samples/sec accuracy=67.824375 loss=1.287254 lr=0.002901 Epoch[133] Batch [1299]/[1879] Speed: 182.682622 samples/sec accuracy=67.780048 loss=1.289513 lr=0.002898 Epoch[133] Batch [1349]/[1879] Speed: 199.252803 samples/sec accuracy=67.730903 loss=1.291129 lr=0.002896 Epoch[133] Batch [1399]/[1879] Speed: 169.238975 samples/sec accuracy=67.689732 loss=1.292661 lr=0.002894 Epoch[133] Batch [1449]/[1879] Speed: 194.023878 samples/sec accuracy=67.669181 loss=1.293183 lr=0.002892 Epoch[133] Batch [1499]/[1879] Speed: 186.629299 samples/sec accuracy=67.659896 loss=1.292991 lr=0.002890 Epoch[133] Batch [1549]/[1879] Speed: 180.736473 samples/sec accuracy=67.654738 loss=1.292565 lr=0.002887 Epoch[133] Batch [1599]/[1879] Speed: 186.223030 samples/sec accuracy=67.604492 loss=1.294406 lr=0.002885 Epoch[133] Batch [1649]/[1879] Speed: 200.654539 samples/sec accuracy=67.595170 loss=1.294529 lr=0.002883 Epoch[133] Batch [1699]/[1879] Speed: 191.233779 samples/sec accuracy=67.582261 loss=1.295292 lr=0.002881 Epoch[133] Batch [1749]/[1879] Speed: 172.454303 samples/sec accuracy=67.575446 loss=1.295428 lr=0.002879 Epoch[133] Batch [1799]/[1879] Speed: 190.777379 samples/sec accuracy=67.552083 loss=1.296567 lr=0.002876 Epoch[133] Batch [1849]/[1879] Speed: 178.784083 samples/sec accuracy=67.540963 loss=1.297101 lr=0.002874 Batch [0049]/[0151]: acc-top1=47.531250 acc-top5=72.234375 Batch [0099]/[0151]: acc-top1=51.289063 acc-top5=74.304688 Batch [0149]/[0151]: acc-top1=50.630208 acc-top5=74.161458 [Epoch 133] training: accuracy=67.570849 loss=1.296602 [Epoch 133] speed: 185 samples/sec time cost: 1414.308810 [Epoch 133] validation: acc-top1=50.574296 acc-top5=74.110099 loss=2.258641 Epoch[134] Batch [0049]/[1880] Speed: 139.056719 samples/sec accuracy=67.437500 loss=1.316562 lr=0.002871 Epoch[134] Batch [0099]/[1880] Speed: 185.343121 samples/sec accuracy=67.906250 loss=1.288380 lr=0.002868 Epoch[134] Batch [0149]/[1880] Speed: 184.859336 samples/sec accuracy=67.953125 loss=1.282244 lr=0.002866 Epoch[134] Batch [0199]/[1880] Speed: 175.912894 samples/sec accuracy=67.968750 loss=1.280917 lr=0.002864 Epoch[134] Batch [0249]/[1880] Speed: 198.739105 samples/sec accuracy=68.290625 loss=1.275048 lr=0.002862 Epoch[134] Batch [0299]/[1880] Speed: 167.276397 samples/sec accuracy=68.304688 loss=1.277310 lr=0.002860 Epoch[134] Batch [0349]/[1880] Speed: 204.344882 samples/sec accuracy=68.131696 loss=1.284091 lr=0.002857 Epoch[134] Batch [0399]/[1880] Speed: 193.554415 samples/sec accuracy=68.093750 loss=1.284155 lr=0.002855 Epoch[134] Batch [0449]/[1880] Speed: 179.391219 samples/sec accuracy=68.107639 loss=1.282037 lr=0.002853 Epoch[134] Batch [0499]/[1880] Speed: 190.196952 samples/sec accuracy=68.103125 loss=1.278877 lr=0.002851 Epoch[134] Batch [0549]/[1880] Speed: 179.670764 samples/sec accuracy=68.157670 loss=1.276264 lr=0.002849 Epoch[134] Batch [0599]/[1880] Speed: 187.452727 samples/sec accuracy=68.179688 loss=1.275806 lr=0.002846 Epoch[134] Batch [0649]/[1880] Speed: 196.900502 samples/sec accuracy=68.191106 loss=1.273982 lr=0.002844 Epoch[134] Batch [0699]/[1880] Speed: 167.418046 samples/sec accuracy=68.194196 loss=1.273647 lr=0.002842 Epoch[134] Batch [0749]/[1880] Speed: 192.979786 samples/sec accuracy=68.193750 loss=1.273441 lr=0.002840 Epoch[134] Batch [0799]/[1880] Speed: 191.529915 samples/sec accuracy=68.158203 loss=1.274772 lr=0.002838 Epoch[134] Batch [0849]/[1880] Speed: 183.152203 samples/sec accuracy=68.089154 loss=1.277887 lr=0.002836 Epoch[134] Batch [0899]/[1880] Speed: 189.433255 samples/sec accuracy=68.103299 loss=1.276587 lr=0.002833 Epoch[134] Batch [0949]/[1880] Speed: 178.432411 samples/sec accuracy=68.073191 loss=1.277736 lr=0.002831 Epoch[134] Batch [0999]/[1880] Speed: 190.977698 samples/sec accuracy=68.064844 loss=1.277665 lr=0.002829 Epoch[134] Batch [1049]/[1880] Speed: 190.214425 samples/sec accuracy=68.037202 loss=1.278472 lr=0.002827 Epoch[134] Batch [1099]/[1880] Speed: 179.971414 samples/sec accuracy=68.024148 loss=1.277933 lr=0.002825 Epoch[134] Batch [1149]/[1880] Speed: 187.774960 samples/sec accuracy=68.030571 loss=1.278273 lr=0.002822 Epoch[134] Batch [1199]/[1880] Speed: 189.107296 samples/sec accuracy=68.027344 loss=1.277950 lr=0.002820 Epoch[134] Batch [1249]/[1880] Speed: 193.260222 samples/sec accuracy=68.018125 loss=1.278882 lr=0.002818 Epoch[134] Batch [1299]/[1880] Speed: 169.497383 samples/sec accuracy=67.995793 loss=1.280451 lr=0.002816 Epoch[134] Batch [1349]/[1880] Speed: 200.666670 samples/sec accuracy=67.973380 loss=1.281387 lr=0.002814 Epoch[134] Batch [1399]/[1880] Speed: 181.079022 samples/sec accuracy=67.954799 loss=1.282330 lr=0.002811 Epoch[134] Batch [1449]/[1880] Speed: 185.691136 samples/sec accuracy=67.970366 loss=1.281969 lr=0.002809 Epoch[134] Batch [1499]/[1880] Speed: 186.415467 samples/sec accuracy=67.968229 loss=1.282096 lr=0.002807 Epoch[134] Batch [1549]/[1880] Speed: 188.999329 samples/sec accuracy=67.946069 loss=1.282866 lr=0.002805 Epoch[134] Batch [1599]/[1880] Speed: 178.038083 samples/sec accuracy=67.958496 loss=1.282233 lr=0.002803 Epoch[134] Batch [1649]/[1880] Speed: 195.723863 samples/sec accuracy=67.937973 loss=1.282575 lr=0.002801 Epoch[134] Batch [1699]/[1880] Speed: 189.677891 samples/sec accuracy=67.945312 loss=1.281485 lr=0.002798 Epoch[134] Batch [1749]/[1880] Speed: 178.676634 samples/sec accuracy=67.970536 loss=1.280971 lr=0.002796 Epoch[134] Batch [1799]/[1880] Speed: 186.084294 samples/sec accuracy=67.977865 loss=1.280464 lr=0.002794 Epoch[134] Batch [1849]/[1880] Speed: 192.533436 samples/sec accuracy=67.955659 loss=1.282216 lr=0.002792 Batch [0049]/[0151]: acc-top1=47.671875 acc-top5=71.875000 Batch [0099]/[0151]: acc-top1=51.257812 acc-top5=74.109375 Batch [0149]/[0151]: acc-top1=50.479167 acc-top5=73.989583 [Epoch 134] training: accuracy=67.961686 loss=1.281927 [Epoch 134] speed: 185 samples/sec time cost: 1415.574557 [Epoch 134] validation: acc-top1=50.439776 acc-top5=73.970406 loss=2.259710 Epoch[135] Batch [0049]/[1880] Speed: 133.100166 samples/sec accuracy=68.796875 loss=1.247248 lr=0.002788 Epoch[135] Batch [0099]/[1880] Speed: 197.447262 samples/sec accuracy=68.757812 loss=1.254299 lr=0.002786 Epoch[135] Batch [0149]/[1880] Speed: 175.775921 samples/sec accuracy=68.822917 loss=1.253499 lr=0.002784 Epoch[135] Batch [0199]/[1880] Speed: 187.144201 samples/sec accuracy=68.464844 loss=1.260955 lr=0.002782 Epoch[135] Batch [0249]/[1880] Speed: 185.429572 samples/sec accuracy=68.359375 loss=1.260211 lr=0.002780 Epoch[135] Batch [0299]/[1880] Speed: 184.061194 samples/sec accuracy=68.375000 loss=1.260170 lr=0.002777 Epoch[135] Batch [0349]/[1880] Speed: 188.564961 samples/sec accuracy=68.372768 loss=1.265639 lr=0.002775 Epoch[135] Batch [0399]/[1880] Speed: 197.752121 samples/sec accuracy=68.455078 loss=1.265198 lr=0.002773 Epoch[135] Batch [0449]/[1880] Speed: 168.119011 samples/sec accuracy=68.329861 loss=1.265599 lr=0.002771 Epoch[135] Batch [0499]/[1880] Speed: 190.946245 samples/sec accuracy=68.401562 loss=1.262611 lr=0.002769 Epoch[135] Batch [0549]/[1880] Speed: 205.021911 samples/sec accuracy=68.414773 loss=1.260607 lr=0.002767 Epoch[135] Batch [0599]/[1880] Speed: 174.449220 samples/sec accuracy=68.380208 loss=1.261183 lr=0.002764 Epoch[135] Batch [0649]/[1880] Speed: 188.809700 samples/sec accuracy=68.354567 loss=1.262543 lr=0.002762 Epoch[135] Batch [0699]/[1880] Speed: 174.866098 samples/sec accuracy=68.324777 loss=1.263692 lr=0.002760 Epoch[135] Batch [0749]/[1880] Speed: 193.148089 samples/sec accuracy=68.397917 loss=1.262147 lr=0.002758 Epoch[135] Batch [0799]/[1880] Speed: 200.165538 samples/sec accuracy=68.346680 loss=1.264736 lr=0.002756 Epoch[135] Batch [0849]/[1880] Speed: 175.539930 samples/sec accuracy=68.358456 loss=1.263947 lr=0.002754 Epoch[135] Batch [0899]/[1880] Speed: 183.975559 samples/sec accuracy=68.343750 loss=1.264793 lr=0.002751 Epoch[135] Batch [0949]/[1880] Speed: 179.846622 samples/sec accuracy=68.375822 loss=1.263892 lr=0.002749 Epoch[135] Batch [0999]/[1880] Speed: 190.345989 samples/sec accuracy=68.342187 loss=1.265254 lr=0.002747 Epoch[135] Batch [1049]/[1880] Speed: 190.489717 samples/sec accuracy=68.310268 loss=1.266847 lr=0.002745 Epoch[135] Batch [1099]/[1880] Speed: 184.395170 samples/sec accuracy=68.312500 loss=1.267359 lr=0.002743 Epoch[135] Batch [1149]/[1880] Speed: 174.587687 samples/sec accuracy=68.299592 loss=1.267844 lr=0.002741 Epoch[135] Batch [1199]/[1880] Speed: 202.555895 samples/sec accuracy=68.317057 loss=1.268095 lr=0.002738 Epoch[135] Batch [1249]/[1880] Speed: 175.423794 samples/sec accuracy=68.279375 loss=1.269058 lr=0.002736 Epoch[135] Batch [1299]/[1880] Speed: 184.003596 samples/sec accuracy=68.310096 loss=1.267428 lr=0.002734 Epoch[135] Batch [1349]/[1880] Speed: 202.366913 samples/sec accuracy=68.259259 loss=1.270236 lr=0.002732 Epoch[135] Batch [1399]/[1880] Speed: 165.118591 samples/sec accuracy=68.268415 loss=1.270097 lr=0.002730 Epoch[135] Batch [1449]/[1880] Speed: 206.743514 samples/sec accuracy=68.255388 loss=1.270930 lr=0.002728 Epoch[135] Batch [1499]/[1880] Speed: 184.203431 samples/sec accuracy=68.268750 loss=1.270928 lr=0.002725 Epoch[135] Batch [1549]/[1880] Speed: 168.968531 samples/sec accuracy=68.236895 loss=1.272966 lr=0.002723 Epoch[135] Batch [1599]/[1880] Speed: 202.542786 samples/sec accuracy=68.177246 loss=1.275452 lr=0.002721 Epoch[135] Batch [1649]/[1880] Speed: 191.302014 samples/sec accuracy=68.160038 loss=1.275429 lr=0.002719 Epoch[135] Batch [1699]/[1880] Speed: 173.944519 samples/sec accuracy=68.180147 loss=1.274476 lr=0.002717 Epoch[135] Batch [1749]/[1880] Speed: 199.659596 samples/sec accuracy=68.208482 loss=1.274055 lr=0.002715 Epoch[135] Batch [1799]/[1880] Speed: 170.365117 samples/sec accuracy=68.208333 loss=1.274847 lr=0.002712 Epoch[135] Batch [1849]/[1880] Speed: 192.285316 samples/sec accuracy=68.224662 loss=1.274331 lr=0.002710 Batch [0049]/[0151]: acc-top1=47.281250 acc-top5=72.218750 Batch [0099]/[0151]: acc-top1=51.234375 acc-top5=74.390625 Batch [0149]/[0151]: acc-top1=50.557292 acc-top5=74.208333 [Epoch 135] training: accuracy=68.230552 loss=1.274430 [Epoch 135] speed: 184 samples/sec time cost: 1418.493907 [Epoch 135] validation: acc-top1=50.491515 acc-top5=74.151490 loss=2.229788 Epoch[136] Batch [0049]/[1880] Speed: 135.283914 samples/sec accuracy=68.468750 loss=1.248723 lr=0.002707 Epoch[136] Batch [0099]/[1880] Speed: 199.441163 samples/sec accuracy=69.156250 loss=1.226212 lr=0.002705 Epoch[136] Batch [0149]/[1880] Speed: 174.736948 samples/sec accuracy=69.192708 loss=1.228502 lr=0.002702 Epoch[136] Batch [0199]/[1880] Speed: 180.639944 samples/sec accuracy=69.421875 loss=1.222791 lr=0.002700 Epoch[136] Batch [0249]/[1880] Speed: 195.671042 samples/sec accuracy=69.312500 loss=1.225761 lr=0.002698 Epoch[136] Batch [0299]/[1880] Speed: 178.115829 samples/sec accuracy=69.273438 loss=1.226964 lr=0.002696 Epoch[136] Batch [0349]/[1880] Speed: 196.321400 samples/sec accuracy=69.111607 loss=1.233471 lr=0.002694 Epoch[136] Batch [0399]/[1880] Speed: 165.784296 samples/sec accuracy=69.076172 loss=1.232334 lr=0.002692 Epoch[136] Batch [0449]/[1880] Speed: 202.754901 samples/sec accuracy=68.970486 loss=1.237491 lr=0.002690 Epoch[136] Batch [0499]/[1880] Speed: 199.571262 samples/sec accuracy=68.996875 loss=1.235031 lr=0.002687 Epoch[136] Batch [0549]/[1880] Speed: 173.917796 samples/sec accuracy=69.041193 loss=1.236131 lr=0.002685 Epoch[136] Batch [0599]/[1880] Speed: 193.430051 samples/sec accuracy=68.932292 loss=1.243486 lr=0.002683 Epoch[136] Batch [0649]/[1880] Speed: 179.142408 samples/sec accuracy=68.907452 loss=1.243954 lr=0.002681 Epoch[136] Batch [0699]/[1880] Speed: 185.362123 samples/sec accuracy=68.777902 loss=1.247977 lr=0.002679 Epoch[136] Batch [0749]/[1880] Speed: 201.268149 samples/sec accuracy=68.754167 loss=1.247996 lr=0.002677 Epoch[136] Batch [0799]/[1880] Speed: 161.471117 samples/sec accuracy=68.707031 loss=1.248739 lr=0.002674 Epoch[136] Batch [0849]/[1880] Speed: 210.930023 samples/sec accuracy=68.695772 loss=1.249787 lr=0.002672 Epoch[136] Batch [0899]/[1880] Speed: 196.631520 samples/sec accuracy=68.681424 loss=1.251086 lr=0.002670 Epoch[136] Batch [0949]/[1880] Speed: 168.347122 samples/sec accuracy=68.674342 loss=1.250141 lr=0.002668 Epoch[136] Batch [0999]/[1880] Speed: 205.967232 samples/sec accuracy=68.662500 loss=1.250957 lr=0.002666 Epoch[136] Batch [1049]/[1880] Speed: 175.179596 samples/sec accuracy=68.689732 loss=1.250472 lr=0.002664 Epoch[136] Batch [1099]/[1880] Speed: 180.344399 samples/sec accuracy=68.639915 loss=1.252771 lr=0.002662 Epoch[136] Batch [1149]/[1880] Speed: 198.326332 samples/sec accuracy=68.622962 loss=1.252870 lr=0.002659 Epoch[136] Batch [1199]/[1880] Speed: 176.145121 samples/sec accuracy=68.623698 loss=1.252795 lr=0.002657 Epoch[136] Batch [1249]/[1880] Speed: 187.705265 samples/sec accuracy=68.610625 loss=1.254175 lr=0.002655 Epoch[136] Batch [1299]/[1880] Speed: 183.997376 samples/sec accuracy=68.639423 loss=1.253996 lr=0.002653 Epoch[136] Batch [1349]/[1880] Speed: 185.199901 samples/sec accuracy=68.622106 loss=1.255068 lr=0.002651 Epoch[136] Batch [1399]/[1880] Speed: 196.095000 samples/sec accuracy=68.584263 loss=1.255873 lr=0.002649 Epoch[136] Batch [1449]/[1880] Speed: 170.828065 samples/sec accuracy=68.564655 loss=1.255976 lr=0.002647 Epoch[136] Batch [1499]/[1880] Speed: 198.598125 samples/sec accuracy=68.572396 loss=1.255608 lr=0.002644 Epoch[136] Batch [1549]/[1880] Speed: 185.150017 samples/sec accuracy=68.561996 loss=1.255980 lr=0.002642 Epoch[136] Batch [1599]/[1880] Speed: 174.003688 samples/sec accuracy=68.521484 loss=1.257701 lr=0.002640 Epoch[136] Batch [1649]/[1880] Speed: 209.143596 samples/sec accuracy=68.501420 loss=1.258669 lr=0.002638 Epoch[136] Batch [1699]/[1880] Speed: 177.275303 samples/sec accuracy=68.503217 loss=1.258770 lr=0.002636 Epoch[136] Batch [1749]/[1880] Speed: 185.087472 samples/sec accuracy=68.500000 loss=1.258808 lr=0.002634 Epoch[136] Batch [1799]/[1880] Speed: 199.517134 samples/sec accuracy=68.483941 loss=1.259562 lr=0.002632 Epoch[136] Batch [1849]/[1880] Speed: 166.070654 samples/sec accuracy=68.470439 loss=1.259776 lr=0.002629 Batch [0049]/[0151]: acc-top1=48.921875 acc-top5=72.843750 Batch [0099]/[0151]: acc-top1=52.164062 acc-top5=74.601562 Batch [0149]/[0151]: acc-top1=51.447917 acc-top5=74.515625 [Epoch 136] training: accuracy=68.476978 loss=1.259152 [Epoch 136] speed: 184 samples/sec time cost: 1415.954666 [Epoch 136] validation: acc-top1=51.412459 acc-top5=74.518833 loss=2.224641 Epoch[137] Batch [0049]/[1880] Speed: 136.791397 samples/sec accuracy=69.906250 loss=1.216604 lr=0.002626 Epoch[137] Batch [0099]/[1880] Speed: 184.629229 samples/sec accuracy=69.507812 loss=1.226464 lr=0.002624 Epoch[137] Batch [0149]/[1880] Speed: 187.400067 samples/sec accuracy=69.317708 loss=1.231527 lr=0.002622 Epoch[137] Batch [0199]/[1880] Speed: 188.927266 samples/sec accuracy=69.289062 loss=1.230000 lr=0.002620 Epoch[137] Batch [0249]/[1880] Speed: 180.258198 samples/sec accuracy=69.103125 loss=1.231724 lr=0.002617 Epoch[137] Batch [0299]/[1880] Speed: 197.181711 samples/sec accuracy=69.070312 loss=1.233385 lr=0.002615 Epoch[137] Batch [0349]/[1880] Speed: 178.420196 samples/sec accuracy=69.000000 loss=1.235947 lr=0.002613 Epoch[137] Batch [0399]/[1880] Speed: 193.486168 samples/sec accuracy=68.980469 loss=1.232335 lr=0.002611 Epoch[137] Batch [0449]/[1880] Speed: 177.860758 samples/sec accuracy=68.984375 loss=1.233981 lr=0.002609 Epoch[137] Batch [0499]/[1880] Speed: 187.747735 samples/sec accuracy=69.060937 loss=1.231074 lr=0.002607 Epoch[137] Batch [0549]/[1880] Speed: 181.051430 samples/sec accuracy=69.011364 loss=1.232344 lr=0.002605 Epoch[137] Batch [0599]/[1880] Speed: 189.934404 samples/sec accuracy=68.996094 loss=1.235687 lr=0.002602 Epoch[137] Batch [0649]/[1880] Speed: 188.392229 samples/sec accuracy=68.991587 loss=1.236240 lr=0.002600 Epoch[137] Batch [0699]/[1880] Speed: 175.873396 samples/sec accuracy=69.041295 loss=1.235105 lr=0.002598 Epoch[137] Batch [0749]/[1880] Speed: 194.193451 samples/sec accuracy=69.066667 loss=1.235190 lr=0.002596 Epoch[137] Batch [0799]/[1880] Speed: 193.794380 samples/sec accuracy=69.056641 loss=1.237170 lr=0.002594 Epoch[137] Batch [0849]/[1880] Speed: 163.924883 samples/sec accuracy=68.974265 loss=1.240485 lr=0.002592 Epoch[137] Batch [0899]/[1880] Speed: 201.856019 samples/sec accuracy=68.971354 loss=1.241022 lr=0.002590 Epoch[137] Batch [0949]/[1880] Speed: 195.995998 samples/sec accuracy=69.036184 loss=1.240821 lr=0.002588 Epoch[137] Batch [0999]/[1880] Speed: 175.783864 samples/sec accuracy=69.053906 loss=1.241213 lr=0.002585 Epoch[137] Batch [1049]/[1880] Speed: 191.750756 samples/sec accuracy=69.031250 loss=1.241133 lr=0.002583 Epoch[137] Batch [1099]/[1880] Speed: 184.344736 samples/sec accuracy=68.997869 loss=1.243208 lr=0.002581 Epoch[137] Batch [1149]/[1880] Speed: 178.643978 samples/sec accuracy=68.975543 loss=1.243361 lr=0.002579 Epoch[137] Batch [1199]/[1880] Speed: 196.073657 samples/sec accuracy=68.972656 loss=1.242799 lr=0.002577 Epoch[137] Batch [1249]/[1880] Speed: 176.342812 samples/sec accuracy=68.958125 loss=1.242143 lr=0.002575 Epoch[137] Batch [1299]/[1880] Speed: 189.986846 samples/sec accuracy=68.920072 loss=1.244473 lr=0.002573 Epoch[137] Batch [1349]/[1880] Speed: 193.851204 samples/sec accuracy=68.921296 loss=1.244410 lr=0.002571 Epoch[137] Batch [1399]/[1880] Speed: 175.532795 samples/sec accuracy=68.880580 loss=1.245357 lr=0.002568 Epoch[137] Batch [1449]/[1880] Speed: 202.277706 samples/sec accuracy=68.845366 loss=1.247008 lr=0.002566 Epoch[137] Batch [1499]/[1880] Speed: 167.683388 samples/sec accuracy=68.848438 loss=1.247016 lr=0.002564 Epoch[137] Batch [1549]/[1880] Speed: 199.660013 samples/sec accuracy=68.838710 loss=1.247463 lr=0.002562 Epoch[137] Batch [1599]/[1880] Speed: 186.512566 samples/sec accuracy=68.807617 loss=1.248354 lr=0.002560 Epoch[137] Batch [1649]/[1880] Speed: 178.810165 samples/sec accuracy=68.811553 loss=1.247660 lr=0.002558 Epoch[137] Batch [1699]/[1880] Speed: 201.289658 samples/sec accuracy=68.802390 loss=1.247949 lr=0.002556 Epoch[137] Batch [1749]/[1880] Speed: 161.390125 samples/sec accuracy=68.812500 loss=1.246649 lr=0.002554 Epoch[137] Batch [1799]/[1880] Speed: 207.152468 samples/sec accuracy=68.792535 loss=1.247119 lr=0.002551 Epoch[137] Batch [1849]/[1880] Speed: 182.215526 samples/sec accuracy=68.788851 loss=1.247616 lr=0.002549 Batch [0049]/[0151]: acc-top1=47.843750 acc-top5=72.062500 Batch [0099]/[0151]: acc-top1=51.500000 acc-top5=74.414062 Batch [0149]/[0151]: acc-top1=50.718750 acc-top5=74.395833 [Epoch 137] training: accuracy=68.783245 loss=1.247757 [Epoch 137] speed: 184 samples/sec time cost: 1417.475604 [Epoch 137] validation: acc-top1=50.667425 acc-top5=74.353270 loss=2.241470 Epoch[138] Batch [0049]/[1880] Speed: 134.207406 samples/sec accuracy=68.000000 loss=1.293832 lr=0.002546 Epoch[138] Batch [0099]/[1880] Speed: 200.687962 samples/sec accuracy=68.984375 loss=1.254115 lr=0.002544 Epoch[138] Batch [0149]/[1880] Speed: 181.381523 samples/sec accuracy=69.130208 loss=1.241273 lr=0.002542 Epoch[138] Batch [0199]/[1880] Speed: 187.868403 samples/sec accuracy=69.242188 loss=1.228243 lr=0.002540 Epoch[138] Batch [0249]/[1880] Speed: 187.102617 samples/sec accuracy=69.390625 loss=1.218986 lr=0.002537 Epoch[138] Batch [0299]/[1880] Speed: 174.837856 samples/sec accuracy=69.455729 loss=1.217156 lr=0.002535 Epoch[138] Batch [0349]/[1880] Speed: 191.861448 samples/sec accuracy=69.464286 loss=1.221560 lr=0.002533 Epoch[138] Batch [0399]/[1880] Speed: 184.346678 samples/sec accuracy=69.400391 loss=1.223400 lr=0.002531 Epoch[138] Batch [0449]/[1880] Speed: 187.609012 samples/sec accuracy=69.385417 loss=1.225030 lr=0.002529 Epoch[138] Batch [0499]/[1880] Speed: 181.681936 samples/sec accuracy=69.412500 loss=1.222052 lr=0.002527 Epoch[138] Batch [0549]/[1880] Speed: 188.974724 samples/sec accuracy=69.471591 loss=1.221469 lr=0.002525 Epoch[138] Batch [0599]/[1880] Speed: 172.646709 samples/sec accuracy=69.454427 loss=1.220872 lr=0.002523 Epoch[138] Batch [0649]/[1880] Speed: 199.565549 samples/sec accuracy=69.459135 loss=1.221559 lr=0.002521 Epoch[138] Batch [0699]/[1880] Speed: 185.756416 samples/sec accuracy=69.477679 loss=1.220303 lr=0.002518 Epoch[138] Batch [0749]/[1880] Speed: 191.666677 samples/sec accuracy=69.482292 loss=1.219047 lr=0.002516 Epoch[138] Batch [0799]/[1880] Speed: 187.389400 samples/sec accuracy=69.419922 loss=1.221019 lr=0.002514 Epoch[138] Batch [0849]/[1880] Speed: 185.762467 samples/sec accuracy=69.455882 loss=1.220460 lr=0.002512 Epoch[138] Batch [0899]/[1880] Speed: 188.092037 samples/sec accuracy=69.447917 loss=1.222296 lr=0.002510 Epoch[138] Batch [0949]/[1880] Speed: 187.886361 samples/sec accuracy=69.435855 loss=1.222988 lr=0.002508 Epoch[138] Batch [0999]/[1880] Speed: 169.318400 samples/sec accuracy=69.428906 loss=1.221316 lr=0.002506 Epoch[138] Batch [1049]/[1880] Speed: 192.915392 samples/sec accuracy=69.356399 loss=1.224416 lr=0.002504 Epoch[138] Batch [1099]/[1880] Speed: 192.406797 samples/sec accuracy=69.338778 loss=1.225581 lr=0.002502 Epoch[138] Batch [1149]/[1880] Speed: 175.267610 samples/sec accuracy=69.288723 loss=1.227408 lr=0.002499 Epoch[138] Batch [1199]/[1880] Speed: 199.011351 samples/sec accuracy=69.339193 loss=1.226639 lr=0.002497 Epoch[138] Batch [1249]/[1880] Speed: 177.811348 samples/sec accuracy=69.333750 loss=1.227297 lr=0.002495 Epoch[138] Batch [1299]/[1880] Speed: 178.688422 samples/sec accuracy=69.301683 loss=1.228139 lr=0.002493 Epoch[138] Batch [1349]/[1880] Speed: 204.952185 samples/sec accuracy=69.293981 loss=1.228638 lr=0.002491 Epoch[138] Batch [1399]/[1880] Speed: 176.599656 samples/sec accuracy=69.291295 loss=1.228370 lr=0.002489 Epoch[138] Batch [1449]/[1880] Speed: 182.224934 samples/sec accuracy=69.264547 loss=1.229617 lr=0.002487 Epoch[138] Batch [1499]/[1880] Speed: 205.850410 samples/sec accuracy=69.229167 loss=1.231049 lr=0.002485 Epoch[138] Batch [1549]/[1880] Speed: 170.169580 samples/sec accuracy=69.208669 loss=1.230766 lr=0.002483 Epoch[138] Batch [1599]/[1880] Speed: 202.052728 samples/sec accuracy=69.211426 loss=1.230636 lr=0.002481 Epoch[138] Batch [1649]/[1880] Speed: 177.317019 samples/sec accuracy=69.217803 loss=1.230969 lr=0.002478 Epoch[138] Batch [1699]/[1880] Speed: 183.486564 samples/sec accuracy=69.186121 loss=1.231970 lr=0.002476 Epoch[138] Batch [1749]/[1880] Speed: 187.235758 samples/sec accuracy=69.175446 loss=1.232771 lr=0.002474 Epoch[138] Batch [1799]/[1880] Speed: 175.494988 samples/sec accuracy=69.158854 loss=1.233597 lr=0.002472 Epoch[138] Batch [1849]/[1880] Speed: 200.653737 samples/sec accuracy=69.131334 loss=1.234181 lr=0.002470 Batch [0049]/[0151]: acc-top1=48.000000 acc-top5=72.328125 Batch [0099]/[0151]: acc-top1=51.546875 acc-top5=74.476562 Batch [0149]/[0151]: acc-top1=51.062500 acc-top5=74.437500 [Epoch 138] training: accuracy=69.117769 loss=1.234744 [Epoch 138] speed: 185 samples/sec time cost: 1416.453006 [Epoch 138] validation: acc-top1=50.998551 acc-top5=74.405008 loss=2.234629 Epoch[139] Batch [0049]/[1879] Speed: 136.634384 samples/sec accuracy=69.140625 loss=1.235723 lr=0.002467 Epoch[139] Batch [0099]/[1879] Speed: 187.254737 samples/sec accuracy=68.820312 loss=1.250204 lr=0.002465 Epoch[139] Batch [0149]/[1879] Speed: 184.310193 samples/sec accuracy=68.916667 loss=1.244302 lr=0.002463 Epoch[139] Batch [0199]/[1879] Speed: 175.760129 samples/sec accuracy=68.640625 loss=1.251711 lr=0.002460 Epoch[139] Batch [0249]/[1879] Speed: 199.927873 samples/sec accuracy=69.028125 loss=1.235578 lr=0.002458 Epoch[139] Batch [0299]/[1879] Speed: 180.727277 samples/sec accuracy=69.263021 loss=1.224084 lr=0.002456 Epoch[139] Batch [0349]/[1879] Speed: 185.994625 samples/sec accuracy=69.191964 loss=1.226346 lr=0.002454 Epoch[139] Batch [0399]/[1879] Speed: 195.237552 samples/sec accuracy=69.423828 loss=1.216763 lr=0.002452 Epoch[139] Batch [0449]/[1879] Speed: 175.642929 samples/sec accuracy=69.437500 loss=1.217933 lr=0.002450 Epoch[139] Batch [0499]/[1879] Speed: 193.205130 samples/sec accuracy=69.356250 loss=1.222766 lr=0.002448 Epoch[139] Batch [0549]/[1879] Speed: 193.292312 samples/sec accuracy=69.465909 loss=1.216302 lr=0.002446 Epoch[139] Batch [0599]/[1879] Speed: 168.635718 samples/sec accuracy=69.470052 loss=1.213508 lr=0.002444 Epoch[139] Batch [0649]/[1879] Speed: 197.549334 samples/sec accuracy=69.448317 loss=1.214547 lr=0.002442 Epoch[139] Batch [0699]/[1879] Speed: 174.740220 samples/sec accuracy=69.410714 loss=1.215411 lr=0.002440 Epoch[139] Batch [0749]/[1879] Speed: 207.209904 samples/sec accuracy=69.405208 loss=1.216392 lr=0.002437 Epoch[139] Batch [0799]/[1879] Speed: 166.895779 samples/sec accuracy=69.387695 loss=1.217152 lr=0.002435 Epoch[139] Batch [0849]/[1879] Speed: 192.652940 samples/sec accuracy=69.352941 loss=1.218747 lr=0.002433 Epoch[139] Batch [0899]/[1879] Speed: 185.681055 samples/sec accuracy=69.364583 loss=1.218790 lr=0.002431 Epoch[139] Batch [0949]/[1879] Speed: 192.146350 samples/sec accuracy=69.342928 loss=1.219166 lr=0.002429 Epoch[139] Batch [0999]/[1879] Speed: 188.713784 samples/sec accuracy=69.345313 loss=1.219045 lr=0.002427 Epoch[139] Batch [1049]/[1879] Speed: 176.581544 samples/sec accuracy=69.400298 loss=1.218155 lr=0.002425 Epoch[139] Batch [1099]/[1879] Speed: 186.994430 samples/sec accuracy=69.418324 loss=1.219259 lr=0.002423 Epoch[139] Batch [1149]/[1879] Speed: 193.993597 samples/sec accuracy=69.458560 loss=1.218582 lr=0.002421 Epoch[139] Batch [1199]/[1879] Speed: 170.333163 samples/sec accuracy=69.419922 loss=1.219453 lr=0.002419 Epoch[139] Batch [1249]/[1879] Speed: 189.903727 samples/sec accuracy=69.405000 loss=1.219881 lr=0.002417 Epoch[139] Batch [1299]/[1879] Speed: 198.344332 samples/sec accuracy=69.427885 loss=1.219593 lr=0.002415 Epoch[139] Batch [1349]/[1879] Speed: 171.050798 samples/sec accuracy=69.425926 loss=1.219997 lr=0.002412 Epoch[139] Batch [1399]/[1879] Speed: 197.937851 samples/sec accuracy=69.408482 loss=1.220720 lr=0.002410 Epoch[139] Batch [1449]/[1879] Speed: 188.391036 samples/sec accuracy=69.364763 loss=1.221548 lr=0.002408 Epoch[139] Batch [1499]/[1879] Speed: 169.468848 samples/sec accuracy=69.385417 loss=1.220540 lr=0.002406 Epoch[139] Batch [1549]/[1879] Speed: 202.670984 samples/sec accuracy=69.385585 loss=1.221057 lr=0.002404 Epoch[139] Batch [1599]/[1879] Speed: 178.678738 samples/sec accuracy=69.381836 loss=1.220998 lr=0.002402 Epoch[139] Batch [1649]/[1879] Speed: 186.992738 samples/sec accuracy=69.376894 loss=1.220767 lr=0.002400 Epoch[139] Batch [1699]/[1879] Speed: 189.767620 samples/sec accuracy=69.378217 loss=1.220674 lr=0.002398 Epoch[139] Batch [1749]/[1879] Speed: 183.582640 samples/sec accuracy=69.392857 loss=1.220334 lr=0.002396 Epoch[139] Batch [1799]/[1879] Speed: 201.756324 samples/sec accuracy=69.379774 loss=1.220748 lr=0.002394 Epoch[139] Batch [1849]/[1879] Speed: 160.034729 samples/sec accuracy=69.380068 loss=1.221087 lr=0.002392 Batch [0049]/[0151]: acc-top1=47.875000 acc-top5=72.484375 Batch [0099]/[0151]: acc-top1=51.945312 acc-top5=74.664062 Batch [0149]/[0151]: acc-top1=51.182292 acc-top5=74.557292 [Epoch 139] training: accuracy=69.364938 loss=1.221476 [Epoch 139] speed: 184 samples/sec time cost: 1418.198358 [Epoch 139] validation: acc-top1=51.117550 acc-top5=74.518833 loss=2.256432 Epoch[140] Batch [0049]/[1880] Speed: 135.001933 samples/sec accuracy=70.609375 loss=1.163336 lr=0.002388 Epoch[140] Batch [0099]/[1880] Speed: 192.955118 samples/sec accuracy=70.664062 loss=1.169791 lr=0.002386 Epoch[140] Batch [0149]/[1880] Speed: 183.727693 samples/sec accuracy=70.265625 loss=1.184830 lr=0.002384 Epoch[140] Batch [0199]/[1880] Speed: 172.754279 samples/sec accuracy=70.109375 loss=1.188534 lr=0.002382 Epoch[140] Batch [0249]/[1880] Speed: 196.874655 samples/sec accuracy=69.934375 loss=1.197778 lr=0.002380 Epoch[140] Batch [0299]/[1880] Speed: 184.662973 samples/sec accuracy=70.065104 loss=1.197450 lr=0.002378 Epoch[140] Batch [0349]/[1880] Speed: 190.171313 samples/sec accuracy=70.109375 loss=1.197071 lr=0.002376 Epoch[140] Batch [0399]/[1880] Speed: 184.610017 samples/sec accuracy=69.935547 loss=1.196735 lr=0.002374 Epoch[140] Batch [0449]/[1880] Speed: 186.451534 samples/sec accuracy=69.987847 loss=1.194345 lr=0.002372 Epoch[140] Batch [0499]/[1880] Speed: 192.480383 samples/sec accuracy=69.989063 loss=1.191938 lr=0.002370 Epoch[140] Batch [0549]/[1880] Speed: 181.992006 samples/sec accuracy=69.958807 loss=1.195167 lr=0.002368 Epoch[140] Batch [0599]/[1880] Speed: 176.547318 samples/sec accuracy=69.876302 loss=1.197810 lr=0.002366 Epoch[140] Batch [0649]/[1880] Speed: 202.097370 samples/sec accuracy=69.901442 loss=1.197401 lr=0.002364 Epoch[140] Batch [0699]/[1880] Speed: 175.982863 samples/sec accuracy=69.839286 loss=1.197749 lr=0.002362 Epoch[140] Batch [0749]/[1880] Speed: 186.938080 samples/sec accuracy=69.858333 loss=1.197373 lr=0.002359 Epoch[140] Batch [0799]/[1880] Speed: 199.146494 samples/sec accuracy=69.837891 loss=1.198534 lr=0.002357 Epoch[140] Batch [0849]/[1880] Speed: 174.426095 samples/sec accuracy=69.779412 loss=1.201743 lr=0.002355 Epoch[140] Batch [0899]/[1880] Speed: 197.485087 samples/sec accuracy=69.736111 loss=1.203486 lr=0.002353 Epoch[140] Batch [0949]/[1880] Speed: 175.474492 samples/sec accuracy=69.731086 loss=1.203512 lr=0.002351 Epoch[140] Batch [0999]/[1880] Speed: 197.940536 samples/sec accuracy=69.691406 loss=1.206115 lr=0.002349 Epoch[140] Batch [1049]/[1880] Speed: 180.854988 samples/sec accuracy=69.649554 loss=1.207828 lr=0.002347 Epoch[140] Batch [1099]/[1880] Speed: 183.192188 samples/sec accuracy=69.676847 loss=1.207416 lr=0.002345 Epoch[140] Batch [1149]/[1880] Speed: 199.245424 samples/sec accuracy=69.632473 loss=1.209099 lr=0.002343 Epoch[140] Batch [1199]/[1880] Speed: 171.737661 samples/sec accuracy=69.612630 loss=1.209668 lr=0.002341 Epoch[140] Batch [1249]/[1880] Speed: 201.312595 samples/sec accuracy=69.612500 loss=1.209937 lr=0.002339 Epoch[140] Batch [1299]/[1880] Speed: 174.830897 samples/sec accuracy=69.670673 loss=1.208540 lr=0.002337 Epoch[140] Batch [1349]/[1880] Speed: 188.863371 samples/sec accuracy=69.686343 loss=1.207358 lr=0.002335 Epoch[140] Batch [1399]/[1880] Speed: 177.139866 samples/sec accuracy=69.659598 loss=1.208113 lr=0.002333 Epoch[140] Batch [1449]/[1880] Speed: 189.381453 samples/sec accuracy=69.664332 loss=1.208543 lr=0.002331 Epoch[140] Batch [1499]/[1880] Speed: 201.218396 samples/sec accuracy=69.668750 loss=1.207565 lr=0.002329 Epoch[140] Batch [1549]/[1880] Speed: 177.921192 samples/sec accuracy=69.677419 loss=1.206901 lr=0.002327 Epoch[140] Batch [1599]/[1880] Speed: 192.786655 samples/sec accuracy=69.692383 loss=1.206915 lr=0.002324 Epoch[140] Batch [1649]/[1880] Speed: 175.166357 samples/sec accuracy=69.693655 loss=1.206654 lr=0.002322 Epoch[140] Batch [1699]/[1880] Speed: 197.526782 samples/sec accuracy=69.701287 loss=1.206507 lr=0.002320 Epoch[140] Batch [1749]/[1880] Speed: 168.793541 samples/sec accuracy=69.694196 loss=1.206723 lr=0.002318 Epoch[140] Batch [1799]/[1880] Speed: 191.755692 samples/sec accuracy=69.638021 loss=1.208239 lr=0.002316 Epoch[140] Batch [1849]/[1880] Speed: 201.071829 samples/sec accuracy=69.618666 loss=1.208434 lr=0.002314 Batch [0049]/[0151]: acc-top1=48.125000 acc-top5=72.343750 Batch [0099]/[0151]: acc-top1=51.609375 acc-top5=74.648438 Batch [0149]/[0151]: acc-top1=51.057292 acc-top5=74.526042 [Epoch 140] training: accuracy=69.609791 loss=1.209011 [Epoch 140] speed: 185 samples/sec time cost: 1415.992173 [Epoch 140] validation: acc-top1=51.029594 acc-top5=74.524007 loss=2.239526 Epoch[141] Batch [0049]/[1880] Speed: 135.737646 samples/sec accuracy=71.171875 loss=1.161178 lr=0.002311 Epoch[141] Batch [0099]/[1880] Speed: 184.066259 samples/sec accuracy=70.835938 loss=1.180063 lr=0.002309 Epoch[141] Batch [0149]/[1880] Speed: 193.578448 samples/sec accuracy=70.567708 loss=1.188393 lr=0.002307 Epoch[141] Batch [0199]/[1880] Speed: 173.920664 samples/sec accuracy=70.457031 loss=1.185969 lr=0.002305 Epoch[141] Batch [0249]/[1880] Speed: 210.490220 samples/sec accuracy=70.387500 loss=1.186284 lr=0.002303 Epoch[141] Batch [0299]/[1880] Speed: 168.164343 samples/sec accuracy=70.315104 loss=1.188567 lr=0.002301 Epoch[141] Batch [0349]/[1880] Speed: 203.056485 samples/sec accuracy=70.354911 loss=1.184683 lr=0.002299 Epoch[141] Batch [0399]/[1880] Speed: 172.781927 samples/sec accuracy=70.375000 loss=1.184773 lr=0.002297 Epoch[141] Batch [0449]/[1880] Speed: 189.480724 samples/sec accuracy=70.347222 loss=1.186735 lr=0.002295 Epoch[141] Batch [0499]/[1880] Speed: 200.745187 samples/sec accuracy=70.300000 loss=1.189041 lr=0.002293 Epoch[141] Batch [0549]/[1880] Speed: 168.803130 samples/sec accuracy=70.350852 loss=1.186540 lr=0.002290 Epoch[141] Batch [0599]/[1880] Speed: 196.376142 samples/sec accuracy=70.347656 loss=1.187801 lr=0.002288 Epoch[141] Batch [0649]/[1880] Speed: 187.311642 samples/sec accuracy=70.304087 loss=1.187438 lr=0.002286 Epoch[141] Batch [0699]/[1880] Speed: 190.023159 samples/sec accuracy=70.340402 loss=1.186780 lr=0.002284 Epoch[141] Batch [0749]/[1880] Speed: 185.756800 samples/sec accuracy=70.339583 loss=1.185637 lr=0.002282 Epoch[141] Batch [0799]/[1880] Speed: 173.474386 samples/sec accuracy=70.331055 loss=1.186346 lr=0.002280 Epoch[141] Batch [0849]/[1880] Speed: 186.579498 samples/sec accuracy=70.340993 loss=1.184796 lr=0.002278 Epoch[141] Batch [0899]/[1880] Speed: 204.507007 samples/sec accuracy=70.309896 loss=1.186135 lr=0.002276 Epoch[141] Batch [0949]/[1880] Speed: 182.025307 samples/sec accuracy=70.302632 loss=1.186447 lr=0.002274 Epoch[141] Batch [0999]/[1880] Speed: 184.075567 samples/sec accuracy=70.300000 loss=1.184323 lr=0.002272 Epoch[141] Batch [1049]/[1880] Speed: 176.783251 samples/sec accuracy=70.223214 loss=1.185636 lr=0.002270 Epoch[141] Batch [1099]/[1880] Speed: 187.780546 samples/sec accuracy=70.228693 loss=1.185733 lr=0.002268 Epoch[141] Batch [1149]/[1880] Speed: 188.388011 samples/sec accuracy=70.222826 loss=1.185429 lr=0.002266 Epoch[141] Batch [1199]/[1880] Speed: 190.260050 samples/sec accuracy=70.201172 loss=1.186028 lr=0.002264 Epoch[141] Batch [1249]/[1880] Speed: 188.195652 samples/sec accuracy=70.196250 loss=1.185610 lr=0.002262 Epoch[141] Batch [1299]/[1880] Speed: 177.126657 samples/sec accuracy=70.197716 loss=1.185758 lr=0.002260 Epoch[141] Batch [1349]/[1880] Speed: 193.181321 samples/sec accuracy=70.163194 loss=1.187205 lr=0.002258 Epoch[141] Batch [1399]/[1880] Speed: 184.691454 samples/sec accuracy=70.122210 loss=1.189086 lr=0.002256 Epoch[141] Batch [1449]/[1880] Speed: 190.690043 samples/sec accuracy=70.123922 loss=1.189985 lr=0.002254 Epoch[141] Batch [1499]/[1880] Speed: 181.723943 samples/sec accuracy=70.093750 loss=1.190225 lr=0.002252 Epoch[141] Batch [1549]/[1880] Speed: 186.652595 samples/sec accuracy=70.050907 loss=1.191549 lr=0.002250 Epoch[141] Batch [1599]/[1880] Speed: 190.653153 samples/sec accuracy=70.056152 loss=1.191808 lr=0.002248 Epoch[141] Batch [1649]/[1880] Speed: 179.852179 samples/sec accuracy=70.053977 loss=1.191639 lr=0.002246 Epoch[141] Batch [1699]/[1880] Speed: 176.414936 samples/sec accuracy=70.043199 loss=1.192845 lr=0.002244 Epoch[141] Batch [1749]/[1880] Speed: 203.005810 samples/sec accuracy=70.026339 loss=1.193545 lr=0.002242 Epoch[141] Batch [1799]/[1880] Speed: 177.146786 samples/sec accuracy=70.012587 loss=1.193569 lr=0.002240 Epoch[141] Batch [1849]/[1880] Speed: 184.105573 samples/sec accuracy=70.016047 loss=1.193517 lr=0.002238 Batch [0049]/[0151]: acc-top1=48.812500 acc-top5=72.218750 Batch [0099]/[0151]: acc-top1=52.054688 acc-top5=74.812500 Batch [0149]/[0151]: acc-top1=51.375000 acc-top5=74.635417 [Epoch 141] training: accuracy=70.012051 loss=1.193491 [Epoch 141] speed: 185 samples/sec time cost: 1414.528784 [Epoch 141] validation: acc-top1=51.345199 acc-top5=74.606788 loss=2.253131 Epoch[142] Batch [0049]/[1880] Speed: 131.964963 samples/sec accuracy=71.781250 loss=1.145974 lr=0.002234 Epoch[142] Batch [0099]/[1880] Speed: 205.493803 samples/sec accuracy=71.445312 loss=1.149070 lr=0.002232 Epoch[142] Batch [0149]/[1880] Speed: 175.588857 samples/sec accuracy=70.916667 loss=1.164540 lr=0.002230 Epoch[142] Batch [0199]/[1880] Speed: 198.864117 samples/sec accuracy=70.691406 loss=1.167370 lr=0.002228 Epoch[142] Batch [0249]/[1880] Speed: 175.964948 samples/sec accuracy=70.646875 loss=1.170106 lr=0.002226 Epoch[142] Batch [0299]/[1880] Speed: 196.460595 samples/sec accuracy=70.554688 loss=1.167831 lr=0.002224 Epoch[142] Batch [0349]/[1880] Speed: 179.605096 samples/sec accuracy=70.549107 loss=1.168402 lr=0.002222 Epoch[142] Batch [0399]/[1880] Speed: 182.075384 samples/sec accuracy=70.531250 loss=1.169346 lr=0.002220 Epoch[142] Batch [0449]/[1880] Speed: 204.496960 samples/sec accuracy=70.571181 loss=1.166825 lr=0.002218 Epoch[142] Batch [0499]/[1880] Speed: 167.464910 samples/sec accuracy=70.609375 loss=1.165872 lr=0.002216 Epoch[142] Batch [0549]/[1880] Speed: 190.592076 samples/sec accuracy=70.734375 loss=1.162837 lr=0.002214 Epoch[142] Batch [0599]/[1880] Speed: 172.594921 samples/sec accuracy=70.635417 loss=1.166381 lr=0.002212 Epoch[142] Batch [0649]/[1880] Speed: 205.956850 samples/sec accuracy=70.580529 loss=1.169071 lr=0.002210 Epoch[142] Batch [0699]/[1880] Speed: 174.830695 samples/sec accuracy=70.559152 loss=1.170336 lr=0.002208 Epoch[142] Batch [0749]/[1880] Speed: 192.326341 samples/sec accuracy=70.527083 loss=1.170068 lr=0.002206 Epoch[142] Batch [0799]/[1880] Speed: 189.015745 samples/sec accuracy=70.534180 loss=1.169821 lr=0.002204 Epoch[142] Batch [0849]/[1880] Speed: 174.897651 samples/sec accuracy=70.607537 loss=1.168107 lr=0.002202 Epoch[142] Batch [0899]/[1880] Speed: 195.640523 samples/sec accuracy=70.551215 loss=1.170402 lr=0.002200 Epoch[142] Batch [0949]/[1880] Speed: 190.439027 samples/sec accuracy=70.535362 loss=1.170493 lr=0.002198 Epoch[142] Batch [0999]/[1880] Speed: 184.329876 samples/sec accuracy=70.510156 loss=1.171891 lr=0.002196 Epoch[142] Batch [1049]/[1880] Speed: 188.432233 samples/sec accuracy=70.534226 loss=1.172545 lr=0.002194 Epoch[142] Batch [1099]/[1880] Speed: 189.274978 samples/sec accuracy=70.504972 loss=1.172705 lr=0.002192 Epoch[142] Batch [1149]/[1880] Speed: 173.272249 samples/sec accuracy=70.463315 loss=1.173428 lr=0.002190 Epoch[142] Batch [1199]/[1880] Speed: 196.678128 samples/sec accuracy=70.407552 loss=1.174684 lr=0.002188 Epoch[142] Batch [1249]/[1880] Speed: 180.842061 samples/sec accuracy=70.378125 loss=1.175435 lr=0.002186 Epoch[142] Batch [1299]/[1880] Speed: 182.379306 samples/sec accuracy=70.352163 loss=1.177830 lr=0.002184 Epoch[142] Batch [1349]/[1880] Speed: 199.375676 samples/sec accuracy=70.361111 loss=1.178906 lr=0.002182 Epoch[142] Batch [1399]/[1880] Speed: 184.477044 samples/sec accuracy=70.312500 loss=1.180526 lr=0.002180 Epoch[142] Batch [1449]/[1880] Speed: 184.200301 samples/sec accuracy=70.301185 loss=1.181759 lr=0.002178 Epoch[142] Batch [1499]/[1880] Speed: 181.558087 samples/sec accuracy=70.301042 loss=1.181284 lr=0.002176 Epoch[142] Batch [1549]/[1880] Speed: 189.642884 samples/sec accuracy=70.301411 loss=1.180875 lr=0.002174 Epoch[142] Batch [1599]/[1880] Speed: 182.097767 samples/sec accuracy=70.306152 loss=1.180892 lr=0.002172 Epoch[142] Batch [1649]/[1880] Speed: 182.911666 samples/sec accuracy=70.295455 loss=1.181153 lr=0.002170 Epoch[142] Batch [1699]/[1880] Speed: 206.052287 samples/sec accuracy=70.284926 loss=1.182139 lr=0.002168 Epoch[142] Batch [1749]/[1880] Speed: 164.997052 samples/sec accuracy=70.272768 loss=1.183272 lr=0.002166 Epoch[142] Batch [1799]/[1880] Speed: 196.496707 samples/sec accuracy=70.269531 loss=1.182771 lr=0.002164 Epoch[142] Batch [1849]/[1880] Speed: 183.679572 samples/sec accuracy=70.239020 loss=1.184037 lr=0.002162 Batch [0049]/[0151]: acc-top1=48.218750 acc-top5=72.484375 Batch [0099]/[0151]: acc-top1=51.906250 acc-top5=74.726562 Batch [0149]/[0151]: acc-top1=51.078125 acc-top5=74.635417 [Epoch 142] training: accuracy=70.228142 loss=1.184611 [Epoch 142] speed: 184 samples/sec time cost: 1416.026003 [Epoch 142] validation: acc-top1=51.019247 acc-top5=74.601614 loss=2.216918 Epoch[143] Batch [0049]/[1880] Speed: 132.433988 samples/sec accuracy=71.515625 loss=1.135264 lr=0.002159 Epoch[143] Batch [0099]/[1880] Speed: 195.371046 samples/sec accuracy=71.343750 loss=1.145050 lr=0.002157 Epoch[143] Batch [0149]/[1880] Speed: 187.608970 samples/sec accuracy=71.187500 loss=1.155679 lr=0.002155 Epoch[143] Batch [0199]/[1880] Speed: 170.407672 samples/sec accuracy=70.941406 loss=1.166941 lr=0.002153 Epoch[143] Batch [0249]/[1880] Speed: 206.972598 samples/sec accuracy=70.868750 loss=1.167142 lr=0.002151 Epoch[143] Batch [0299]/[1880] Speed: 179.256571 samples/sec accuracy=71.041667 loss=1.158298 lr=0.002149 Epoch[143] Batch [0349]/[1880] Speed: 190.989491 samples/sec accuracy=70.897321 loss=1.164061 lr=0.002147 Epoch[143] Batch [0399]/[1880] Speed: 180.699409 samples/sec accuracy=70.867188 loss=1.165645 lr=0.002145 Epoch[143] Batch [0449]/[1880] Speed: 189.288599 samples/sec accuracy=70.835069 loss=1.165118 lr=0.002143 Epoch[143] Batch [0499]/[1880] Speed: 197.915794 samples/sec accuracy=70.821875 loss=1.164891 lr=0.002141 Epoch[143] Batch [0549]/[1880] Speed: 167.118417 samples/sec accuracy=70.742898 loss=1.165859 lr=0.002139 Epoch[143] Batch [0599]/[1880] Speed: 199.352435 samples/sec accuracy=70.645833 loss=1.168385 lr=0.002137 Epoch[143] Batch [0649]/[1880] Speed: 176.469389 samples/sec accuracy=70.641827 loss=1.168112 lr=0.002135 Epoch[143] Batch [0699]/[1880] Speed: 188.018156 samples/sec accuracy=70.712054 loss=1.166674 lr=0.002133 Epoch[143] Batch [0749]/[1880] Speed: 192.712195 samples/sec accuracy=70.665625 loss=1.167907 lr=0.002131 Epoch[143] Batch [0799]/[1880] Speed: 174.300388 samples/sec accuracy=70.688477 loss=1.168138 lr=0.002129 Epoch[143] Batch [0849]/[1880] Speed: 201.069348 samples/sec accuracy=70.724265 loss=1.167253 lr=0.002127 Epoch[143] Batch [0899]/[1880] Speed: 176.670859 samples/sec accuracy=70.697049 loss=1.167583 lr=0.002125 Epoch[143] Batch [0949]/[1880] Speed: 186.020351 samples/sec accuracy=70.688322 loss=1.168082 lr=0.002123 Epoch[143] Batch [0999]/[1880] Speed: 194.124547 samples/sec accuracy=70.643750 loss=1.168956 lr=0.002121 Epoch[143] Batch [1049]/[1880] Speed: 175.150762 samples/sec accuracy=70.613839 loss=1.168623 lr=0.002119 Epoch[143] Batch [1099]/[1880] Speed: 196.627555 samples/sec accuracy=70.545455 loss=1.171333 lr=0.002117 Epoch[143] Batch [1149]/[1880] Speed: 171.810307 samples/sec accuracy=70.585598 loss=1.168848 lr=0.002115 Epoch[143] Batch [1199]/[1880] Speed: 193.990890 samples/sec accuracy=70.521484 loss=1.171822 lr=0.002113 Epoch[143] Batch [1249]/[1880] Speed: 199.149809 samples/sec accuracy=70.526875 loss=1.172137 lr=0.002111 Epoch[143] Batch [1299]/[1880] Speed: 180.369509 samples/sec accuracy=70.565505 loss=1.170193 lr=0.002109 Epoch[143] Batch [1349]/[1880] Speed: 181.333464 samples/sec accuracy=70.601273 loss=1.168745 lr=0.002107 Epoch[143] Batch [1399]/[1880] Speed: 184.732502 samples/sec accuracy=70.602679 loss=1.169645 lr=0.002105 Epoch[143] Batch [1449]/[1880] Speed: 180.825066 samples/sec accuracy=70.616918 loss=1.168758 lr=0.002103 Epoch[143] Batch [1499]/[1880] Speed: 193.883575 samples/sec accuracy=70.565104 loss=1.170417 lr=0.002101 Epoch[143] Batch [1549]/[1880] Speed: 183.694488 samples/sec accuracy=70.528226 loss=1.171768 lr=0.002099 Epoch[143] Batch [1599]/[1880] Speed: 187.362666 samples/sec accuracy=70.549316 loss=1.170503 lr=0.002097 Epoch[143] Batch [1649]/[1880] Speed: 181.544460 samples/sec accuracy=70.577178 loss=1.170159 lr=0.002095 Epoch[143] Batch [1699]/[1880] Speed: 182.243871 samples/sec accuracy=70.568934 loss=1.170496 lr=0.002093 Epoch[143] Batch [1749]/[1880] Speed: 195.218591 samples/sec accuracy=70.547768 loss=1.171745 lr=0.002091 Epoch[143] Batch [1799]/[1880] Speed: 191.124288 samples/sec accuracy=70.535590 loss=1.172328 lr=0.002089 Epoch[143] Batch [1849]/[1880] Speed: 185.467052 samples/sec accuracy=70.540118 loss=1.172179 lr=0.002087 Batch [0049]/[0151]: acc-top1=47.984375 acc-top5=72.546875 Batch [0099]/[0151]: acc-top1=51.898438 acc-top5=74.546875 Batch [0149]/[0151]: acc-top1=51.104167 acc-top5=74.463542 [Epoch 143] training: accuracy=70.527759 loss=1.172188 [Epoch 143] speed: 184 samples/sec time cost: 1415.886641 [Epoch 143] validation: acc-top1=51.060637 acc-top5=74.410182 loss=2.252650 Epoch[144] Batch [0049]/[1880] Speed: 135.145210 samples/sec accuracy=71.062500 loss=1.152541 lr=0.002084 Epoch[144] Batch [0099]/[1880] Speed: 183.567246 samples/sec accuracy=70.921875 loss=1.151928 lr=0.002082 Epoch[144] Batch [0149]/[1880] Speed: 190.198436 samples/sec accuracy=71.005208 loss=1.144328 lr=0.002080 Epoch[144] Batch [0199]/[1880] Speed: 196.345632 samples/sec accuracy=71.035156 loss=1.142586 lr=0.002078 Epoch[144] Batch [0249]/[1880] Speed: 171.187534 samples/sec accuracy=71.096875 loss=1.141349 lr=0.002076 Epoch[144] Batch [0299]/[1880] Speed: 198.063211 samples/sec accuracy=71.044271 loss=1.146401 lr=0.002074 Epoch[144] Batch [0349]/[1880] Speed: 181.389830 samples/sec accuracy=71.013393 loss=1.147826 lr=0.002072 Epoch[144] Batch [0399]/[1880] Speed: 175.975267 samples/sec accuracy=71.136719 loss=1.143612 lr=0.002070 Epoch[144] Batch [0449]/[1880] Speed: 203.484562 samples/sec accuracy=71.190972 loss=1.141319 lr=0.002068 Epoch[144] Batch [0499]/[1880] Speed: 186.226228 samples/sec accuracy=71.167187 loss=1.141495 lr=0.002066 Epoch[144] Batch [0549]/[1880] Speed: 172.843305 samples/sec accuracy=71.210227 loss=1.142205 lr=0.002064 Epoch[144] Batch [0599]/[1880] Speed: 192.442960 samples/sec accuracy=71.253906 loss=1.140967 lr=0.002062 Epoch[144] Batch [0649]/[1880] Speed: 176.646729 samples/sec accuracy=71.239183 loss=1.140181 lr=0.002060 Epoch[144] Batch [0699]/[1880] Speed: 191.624654 samples/sec accuracy=71.218750 loss=1.140444 lr=0.002058 Epoch[144] Batch [0749]/[1880] Speed: 199.894060 samples/sec accuracy=71.212500 loss=1.140099 lr=0.002056 Epoch[144] Batch [0799]/[1880] Speed: 174.917878 samples/sec accuracy=71.196289 loss=1.140651 lr=0.002054 Epoch[144] Batch [0849]/[1880] Speed: 192.917479 samples/sec accuracy=71.111213 loss=1.143298 lr=0.002053 Epoch[144] Batch [0899]/[1880] Speed: 190.920096 samples/sec accuracy=71.080729 loss=1.144859 lr=0.002051 Epoch[144] Batch [0949]/[1880] Speed: 173.276122 samples/sec accuracy=71.060855 loss=1.145296 lr=0.002049 Epoch[144] Batch [0999]/[1880] Speed: 194.610535 samples/sec accuracy=71.083594 loss=1.146021 lr=0.002047 Epoch[144] Batch [1049]/[1880] Speed: 183.408290 samples/sec accuracy=71.063244 loss=1.148292 lr=0.002045 Epoch[144] Batch [1099]/[1880] Speed: 179.672230 samples/sec accuracy=71.061790 loss=1.149097 lr=0.002043 Epoch[144] Batch [1149]/[1880] Speed: 181.108089 samples/sec accuracy=71.014266 loss=1.151610 lr=0.002041 Epoch[144] Batch [1199]/[1880] Speed: 194.990425 samples/sec accuracy=71.018229 loss=1.150825 lr=0.002039 Epoch[144] Batch [1249]/[1880] Speed: 191.665493 samples/sec accuracy=71.008750 loss=1.151394 lr=0.002037 Epoch[144] Batch [1299]/[1880] Speed: 179.286187 samples/sec accuracy=70.961538 loss=1.153544 lr=0.002035 Epoch[144] Batch [1349]/[1880] Speed: 188.335358 samples/sec accuracy=70.963542 loss=1.153822 lr=0.002033 Epoch[144] Batch [1399]/[1880] Speed: 185.579595 samples/sec accuracy=70.934710 loss=1.154995 lr=0.002031 Epoch[144] Batch [1449]/[1880] Speed: 179.386785 samples/sec accuracy=70.942349 loss=1.154977 lr=0.002029 Epoch[144] Batch [1499]/[1880] Speed: 200.671080 samples/sec accuracy=70.892188 loss=1.155890 lr=0.002027 Epoch[144] Batch [1549]/[1880] Speed: 171.135295 samples/sec accuracy=70.851815 loss=1.157510 lr=0.002025 Epoch[144] Batch [1599]/[1880] Speed: 202.285535 samples/sec accuracy=70.870605 loss=1.157345 lr=0.002023 Epoch[144] Batch [1649]/[1880] Speed: 177.691913 samples/sec accuracy=70.875947 loss=1.157223 lr=0.002021 Epoch[144] Batch [1699]/[1880] Speed: 178.677493 samples/sec accuracy=70.884191 loss=1.157498 lr=0.002019 Epoch[144] Batch [1749]/[1880] Speed: 206.011844 samples/sec accuracy=70.873214 loss=1.157104 lr=0.002017 Epoch[144] Batch [1799]/[1880] Speed: 178.651862 samples/sec accuracy=70.878038 loss=1.157266 lr=0.002015 Epoch[144] Batch [1849]/[1880] Speed: 182.683163 samples/sec accuracy=70.866554 loss=1.157435 lr=0.002013 Batch [0049]/[0151]: acc-top1=48.062500 acc-top5=72.812500 Batch [0099]/[0151]: acc-top1=51.609375 acc-top5=74.851562 Batch [0149]/[0151]: acc-top1=50.937500 acc-top5=74.656250 [Epoch 144] training: accuracy=70.856882 loss=1.157989 [Epoch 144] speed: 184 samples/sec time cost: 1416.516890 [Epoch 144] validation: acc-top1=50.895075 acc-top5=74.611962 loss=2.231787 Epoch[145] Batch [0049]/[1879] Speed: 131.644462 samples/sec accuracy=71.671875 loss=1.134994 lr=0.002010 Epoch[145] Batch [0099]/[1879] Speed: 190.388622 samples/sec accuracy=71.789062 loss=1.126584 lr=0.002008 Epoch[145] Batch [0149]/[1879] Speed: 179.372850 samples/sec accuracy=71.671875 loss=1.129787 lr=0.002006 Epoch[145] Batch [0199]/[1879] Speed: 191.241556 samples/sec accuracy=71.519531 loss=1.133236 lr=0.002004 Epoch[145] Batch [0249]/[1879] Speed: 193.311463 samples/sec accuracy=71.281250 loss=1.136887 lr=0.002002 Epoch[145] Batch [0299]/[1879] Speed: 178.018701 samples/sec accuracy=71.395833 loss=1.138721 lr=0.002001 Epoch[145] Batch [0349]/[1879] Speed: 186.461193 samples/sec accuracy=71.428571 loss=1.137391 lr=0.001999 Epoch[145] Batch [0399]/[1879] 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accuracy=71.417279 loss=1.140855 lr=0.001979 Epoch[145] Batch [0899]/[1879] Speed: 185.843771 samples/sec accuracy=71.405382 loss=1.141598 lr=0.001977 Epoch[145] Batch [0949]/[1879] Speed: 179.485467 samples/sec accuracy=71.410362 loss=1.141426 lr=0.001975 Epoch[145] Batch [0999]/[1879] Speed: 186.210131 samples/sec accuracy=71.378125 loss=1.142069 lr=0.001973 Epoch[145] Batch [1049]/[1879] Speed: 197.768109 samples/sec accuracy=71.322917 loss=1.144999 lr=0.001971 Epoch[145] Batch [1099]/[1879] Speed: 173.254259 samples/sec accuracy=71.281960 loss=1.146310 lr=0.001970 Epoch[145] Batch [1149]/[1879] Speed: 181.790025 samples/sec accuracy=71.279891 loss=1.146979 lr=0.001968 Epoch[145] Batch [1199]/[1879] Speed: 205.760458 samples/sec accuracy=71.276693 loss=1.147435 lr=0.001966 Epoch[145] Batch [1249]/[1879] Speed: 175.277143 samples/sec accuracy=71.272500 loss=1.147517 lr=0.001964 Epoch[145] Batch [1299]/[1879] Speed: 189.069414 samples/sec accuracy=71.265625 loss=1.146724 lr=0.001962 Epoch[145] Batch [1349]/[1879] Speed: 187.715209 samples/sec accuracy=71.238426 loss=1.146839 lr=0.001960 Epoch[145] Batch [1399]/[1879] Speed: 184.132945 samples/sec accuracy=71.198103 loss=1.147699 lr=0.001958 Epoch[145] Batch [1449]/[1879] Speed: 185.033312 samples/sec accuracy=71.197737 loss=1.147620 lr=0.001956 Epoch[145] Batch [1499]/[1879] Speed: 175.887753 samples/sec accuracy=71.202083 loss=1.147006 lr=0.001954 Epoch[145] Batch [1549]/[1879] Speed: 195.908138 samples/sec accuracy=71.173387 loss=1.146910 lr=0.001952 Epoch[145] Batch [1599]/[1879] Speed: 174.771765 samples/sec accuracy=71.146484 loss=1.148644 lr=0.001950 Epoch[145] Batch [1649]/[1879] Speed: 195.120518 samples/sec accuracy=71.151989 loss=1.148204 lr=0.001948 Epoch[145] Batch [1699]/[1879] Speed: 193.173249 samples/sec accuracy=71.127757 loss=1.149198 lr=0.001946 Epoch[145] Batch [1749]/[1879] Speed: 176.067349 samples/sec accuracy=71.124107 loss=1.149148 lr=0.001944 Epoch[145] Batch [1799]/[1879] Speed: 191.774584 samples/sec accuracy=71.126302 loss=1.149167 lr=0.001943 Epoch[145] Batch [1849]/[1879] Speed: 194.795267 samples/sec accuracy=71.108530 loss=1.149253 lr=0.001941 Batch [0049]/[0151]: acc-top1=48.640625 acc-top5=73.312500 Batch [0099]/[0151]: acc-top1=52.398437 acc-top5=74.968750 Batch [0149]/[0151]: acc-top1=51.390625 acc-top5=74.776042 [Epoch 145] training: accuracy=71.105392 loss=1.149371 [Epoch 145] speed: 184 samples/sec time cost: 1418.788830 [Epoch 145] validation: acc-top1=51.329677 acc-top5=74.736134 loss=2.231199 Epoch[146] Batch [0049]/[1880] Speed: 133.934749 samples/sec accuracy=72.234375 loss=1.116763 lr=0.001938 Epoch[146] Batch [0099]/[1880] Speed: 183.306494 samples/sec accuracy=72.218750 loss=1.105442 lr=0.001936 Epoch[146] Batch [0149]/[1880] Speed: 190.851640 samples/sec accuracy=72.010417 loss=1.106337 lr=0.001934 Epoch[146] Batch [0199]/[1880] Speed: 192.652072 samples/sec accuracy=71.980469 loss=1.105572 lr=0.001932 Epoch[146] Batch [0249]/[1880] Speed: 173.918878 samples/sec accuracy=71.881250 loss=1.112256 lr=0.001930 Epoch[146] Batch [0299]/[1880] Speed: 205.872697 samples/sec accuracy=71.718750 loss=1.119057 lr=0.001928 Epoch[146] Batch [0349]/[1880] Speed: 163.398907 samples/sec accuracy=71.625000 loss=1.121989 lr=0.001926 Epoch[146] Batch [0399]/[1880] Speed: 209.825038 samples/sec accuracy=71.548828 loss=1.125557 lr=0.001924 Epoch[146] Batch [0449]/[1880] Speed: 177.070010 samples/sec accuracy=71.527778 loss=1.128568 lr=0.001922 Epoch[146] Batch [0499]/[1880] Speed: 183.945179 samples/sec accuracy=71.548437 loss=1.129273 lr=0.001920 Epoch[146] Batch [0549]/[1880] Speed: 188.725060 samples/sec accuracy=71.545455 loss=1.129201 lr=0.001918 Epoch[146] Batch [0599]/[1880] Speed: 187.568731 samples/sec accuracy=71.546875 loss=1.128602 lr=0.001916 Epoch[146] Batch [0649]/[1880] Speed: 195.341363 samples/sec accuracy=71.576923 loss=1.128976 lr=0.001915 Epoch[146] Batch [0699]/[1880] Speed: 173.483951 samples/sec accuracy=71.431920 loss=1.133140 lr=0.001913 Epoch[146] Batch [0749]/[1880] Speed: 192.835570 samples/sec accuracy=71.505208 loss=1.130469 lr=0.001911 Epoch[146] Batch [0799]/[1880] Speed: 185.279738 samples/sec accuracy=71.425781 loss=1.133555 lr=0.001909 Epoch[146] Batch [0849]/[1880] Speed: 183.462784 samples/sec accuracy=71.445772 loss=1.133509 lr=0.001907 Epoch[146] Batch [0899]/[1880] Speed: 197.164718 samples/sec accuracy=71.511285 loss=1.129527 lr=0.001905 Epoch[146] Batch [0949]/[1880] Speed: 171.516705 samples/sec accuracy=71.515625 loss=1.129574 lr=0.001903 Epoch[146] Batch [0999]/[1880] Speed: 191.379764 samples/sec accuracy=71.522656 loss=1.128870 lr=0.001901 Epoch[146] Batch [1049]/[1880] Speed: 186.224789 samples/sec accuracy=71.470982 loss=1.130371 lr=0.001899 Epoch[146] Batch [1099]/[1880] Speed: 186.575678 samples/sec accuracy=71.433949 loss=1.131362 lr=0.001897 Epoch[146] Batch [1149]/[1880] Speed: 185.023568 samples/sec accuracy=71.396739 loss=1.133067 lr=0.001895 Epoch[146] Batch [1199]/[1880] Speed: 189.857370 samples/sec accuracy=71.399740 loss=1.132799 lr=0.001894 Epoch[146] Batch [1249]/[1880] Speed: 178.712854 samples/sec accuracy=71.400000 loss=1.132998 lr=0.001892 Epoch[146] Batch [1299]/[1880] Speed: 191.863126 samples/sec accuracy=71.403245 loss=1.133189 lr=0.001890 Epoch[146] Batch [1349]/[1880] Speed: 175.502134 samples/sec accuracy=71.415509 loss=1.132750 lr=0.001888 Epoch[146] Batch [1399]/[1880] Speed: 199.145417 samples/sec accuracy=71.382812 loss=1.133360 lr=0.001886 Epoch[146] Batch [1449]/[1880] Speed: 183.297615 samples/sec accuracy=71.362069 loss=1.133697 lr=0.001884 Epoch[146] Batch [1499]/[1880] Speed: 179.560043 samples/sec accuracy=71.372396 loss=1.132658 lr=0.001882 Epoch[146] Batch [1549]/[1880] Speed: 194.280241 samples/sec accuracy=71.348790 loss=1.133119 lr=0.001880 Epoch[146] Batch [1599]/[1880] Speed: 181.071765 samples/sec accuracy=71.347168 loss=1.132884 lr=0.001878 Epoch[146] Batch [1649]/[1880] Speed: 192.536974 samples/sec accuracy=71.333807 loss=1.133864 lr=0.001876 Epoch[146] Batch [1699]/[1880] Speed: 187.478543 samples/sec accuracy=71.328125 loss=1.134469 lr=0.001875 Epoch[146] Batch [1749]/[1880] Speed: 180.282403 samples/sec accuracy=71.304464 loss=1.135949 lr=0.001873 Epoch[146] Batch [1799]/[1880] Speed: 187.057614 samples/sec accuracy=71.304688 loss=1.135810 lr=0.001871 Epoch[146] Batch [1849]/[1880] Speed: 172.729559 samples/sec accuracy=71.321791 loss=1.135621 lr=0.001869 Batch [0049]/[0151]: acc-top1=48.718750 acc-top5=72.500000 Batch [0099]/[0151]: acc-top1=52.101562 acc-top5=74.578125 Batch [0149]/[0151]: acc-top1=50.973958 acc-top5=74.229167 [Epoch 146] training: accuracy=71.313996 loss=1.136130 [Epoch 146] speed: 184 samples/sec time cost: 1416.936982 [Epoch 146] validation: acc-top1=50.936465 acc-top5=74.187707 loss=2.259610 Epoch[147] Batch [0049]/[1880] Speed: 135.346325 samples/sec accuracy=72.109375 loss=1.116399 lr=0.001866 Epoch[147] Batch [0099]/[1880] Speed: 185.225291 samples/sec accuracy=72.320312 loss=1.102304 lr=0.001864 Epoch[147] Batch [0149]/[1880] Speed: 198.796495 samples/sec accuracy=72.307292 loss=1.109987 lr=0.001862 Epoch[147] Batch [0199]/[1880] Speed: 174.951484 samples/sec accuracy=72.402344 loss=1.102928 lr=0.001860 Epoch[147] Batch [0249]/[1880] Speed: 189.574013 samples/sec accuracy=72.178125 loss=1.114610 lr=0.001858 Epoch[147] Batch [0299]/[1880] Speed: 180.244848 samples/sec accuracy=72.221354 loss=1.107369 lr=0.001856 Epoch[147] Batch [0349]/[1880] Speed: 178.001533 samples/sec accuracy=72.238839 loss=1.106212 lr=0.001855 Epoch[147] Batch [0399]/[1880] Speed: 202.123873 samples/sec accuracy=72.158203 loss=1.107318 lr=0.001853 Epoch[147] Batch [0449]/[1880] Speed: 164.268333 samples/sec accuracy=72.222222 loss=1.107465 lr=0.001851 Epoch[147] Batch [0499]/[1880] Speed: 193.785029 samples/sec accuracy=72.067188 loss=1.113337 lr=0.001849 Epoch[147] Batch [0549]/[1880] Speed: 191.013713 samples/sec accuracy=72.071023 loss=1.111844 lr=0.001847 Epoch[147] Batch [0599]/[1880] Speed: 182.659849 samples/sec accuracy=72.088542 loss=1.110296 lr=0.001845 Epoch[147] Batch [0649]/[1880] Speed: 181.231790 samples/sec accuracy=72.037260 loss=1.112194 lr=0.001843 Epoch[147] Batch [0699]/[1880] Speed: 199.866323 samples/sec accuracy=72.041295 loss=1.112317 lr=0.001841 Epoch[147] Batch [0749]/[1880] Speed: 187.901500 samples/sec accuracy=71.989583 loss=1.113873 lr=0.001839 Epoch[147] Batch [0799]/[1880] Speed: 171.129010 samples/sec accuracy=72.008789 loss=1.114751 lr=0.001838 Epoch[147] Batch [0849]/[1880] Speed: 199.764659 samples/sec accuracy=71.980699 loss=1.114945 lr=0.001836 Epoch[147] Batch [0899]/[1880] Speed: 166.644926 samples/sec accuracy=71.944444 loss=1.115674 lr=0.001834 Epoch[147] Batch [0949]/[1880] Speed: 210.418898 samples/sec accuracy=71.890625 loss=1.116647 lr=0.001832 Epoch[147] Batch [0999]/[1880] Speed: 168.403831 samples/sec accuracy=71.874219 loss=1.117591 lr=0.001830 Epoch[147] Batch [1049]/[1880] Speed: 190.171674 samples/sec accuracy=71.901786 loss=1.117722 lr=0.001828 Epoch[147] Batch [1099]/[1880] Speed: 205.281004 samples/sec accuracy=71.901989 loss=1.117548 lr=0.001826 Epoch[147] Batch [1149]/[1880] Speed: 168.197772 samples/sec accuracy=71.885190 loss=1.117521 lr=0.001824 Epoch[147] Batch [1199]/[1880] Speed: 196.307140 samples/sec accuracy=71.833333 loss=1.118696 lr=0.001823 Epoch[147] Batch [1249]/[1880] Speed: 194.311033 samples/sec accuracy=71.864375 loss=1.117477 lr=0.001821 Epoch[147] Batch [1299]/[1880] Speed: 175.674830 samples/sec accuracy=71.802885 loss=1.119780 lr=0.001819 Epoch[147] Batch [1349]/[1880] Speed: 186.721263 samples/sec accuracy=71.782407 loss=1.120609 lr=0.001817 Epoch[147] Batch [1399]/[1880] Speed: 192.601427 samples/sec accuracy=71.791853 loss=1.120805 lr=0.001815 Epoch[147] Batch [1449]/[1880] Speed: 176.647156 samples/sec accuracy=71.765086 loss=1.121532 lr=0.001813 Epoch[147] Batch [1499]/[1880] Speed: 190.607172 samples/sec accuracy=71.745312 loss=1.123037 lr=0.001811 Epoch[147] Batch [1549]/[1880] Speed: 188.907650 samples/sec accuracy=71.731855 loss=1.124067 lr=0.001809 Epoch[147] Batch [1599]/[1880] Speed: 184.816568 samples/sec accuracy=71.743652 loss=1.123911 lr=0.001808 Epoch[147] Batch [1649]/[1880] Speed: 194.014363 samples/sec accuracy=71.748106 loss=1.123828 lr=0.001806 Epoch[147] Batch [1699]/[1880] Speed: 177.226710 samples/sec accuracy=71.762868 loss=1.123245 lr=0.001804 Epoch[147] Batch [1749]/[1880] Speed: 188.369170 samples/sec accuracy=71.750000 loss=1.122828 lr=0.001802 Epoch[147] Batch [1799]/[1880] Speed: 182.364637 samples/sec accuracy=71.726562 loss=1.123777 lr=0.001800 Epoch[147] Batch [1849]/[1880] Speed: 197.869630 samples/sec accuracy=71.721706 loss=1.124014 lr=0.001798 Batch [0049]/[0151]: acc-top1=48.093750 acc-top5=72.531250 Batch [0099]/[0151]: acc-top1=51.992188 acc-top5=74.835938 Batch [0149]/[0151]: acc-top1=51.286458 acc-top5=74.739583 [Epoch 147] training: accuracy=71.735372 loss=1.123360 [Epoch 147] speed: 184 samples/sec time cost: 1418.491495 [Epoch 147] validation: acc-top1=51.215853 acc-top5=74.730960 loss=2.256227 Epoch[148] Batch [0049]/[1880] Speed: 133.867947 samples/sec accuracy=72.078125 loss=1.096513 lr=0.001795 Epoch[148] Batch [0099]/[1880] Speed: 175.953114 samples/sec accuracy=72.531250 loss=1.082831 lr=0.001793 Epoch[148] Batch [0149]/[1880] Speed: 194.227817 samples/sec accuracy=72.161458 loss=1.096983 lr=0.001791 Epoch[148] Batch [0199]/[1880] Speed: 182.684586 samples/sec accuracy=72.195312 loss=1.098194 lr=0.001790 Epoch[148] Batch [0249]/[1880] Speed: 191.237188 samples/sec accuracy=72.250000 loss=1.098916 lr=0.001788 Epoch[148] Batch [0299]/[1880] Speed: 189.013812 samples/sec accuracy=72.307292 loss=1.096635 lr=0.001786 Epoch[148] Batch [0349]/[1880] Speed: 173.626991 samples/sec accuracy=72.093750 loss=1.104937 lr=0.001784 Epoch[148] Batch [0399]/[1880] Speed: 198.856091 samples/sec accuracy=72.095703 loss=1.102766 lr=0.001782 Epoch[148] Batch [0449]/[1880] Speed: 181.417202 samples/sec accuracy=72.043403 loss=1.108985 lr=0.001780 Epoch[148] Batch [0499]/[1880] Speed: 178.531819 samples/sec accuracy=72.028125 loss=1.109656 lr=0.001778 Epoch[148] Batch [0549]/[1880] Speed: 194.367848 samples/sec accuracy=71.980114 loss=1.110237 lr=0.001777 Epoch[148] Batch [0599]/[1880] Speed: 198.624454 samples/sec accuracy=71.944010 loss=1.112085 lr=0.001775 Epoch[148] Batch [0649]/[1880] Speed: 176.821926 samples/sec accuracy=71.937500 loss=1.110663 lr=0.001773 Epoch[148] Batch [0699]/[1880] Speed: 190.907178 samples/sec accuracy=71.920759 loss=1.111681 lr=0.001771 Epoch[148] Batch [0749]/[1880] Speed: 165.127593 samples/sec accuracy=71.907292 loss=1.111281 lr=0.001769 Epoch[148] Batch [0799]/[1880] Speed: 201.313214 samples/sec accuracy=71.922852 loss=1.111071 lr=0.001767 Epoch[148] Batch [0849]/[1880] Speed: 193.583000 samples/sec accuracy=71.946691 loss=1.111033 lr=0.001765 Epoch[148] Batch 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accuracy=71.837963 loss=1.113658 lr=0.001747 Epoch[148] Batch [1399]/[1880] Speed: 168.846958 samples/sec accuracy=71.849888 loss=1.114087 lr=0.001745 Epoch[148] Batch [1449]/[1880] Speed: 200.517251 samples/sec accuracy=71.859914 loss=1.113762 lr=0.001743 Epoch[148] Batch [1499]/[1880] Speed: 180.353533 samples/sec accuracy=71.845313 loss=1.114361 lr=0.001741 Epoch[148] Batch [1549]/[1880] Speed: 183.403750 samples/sec accuracy=71.835685 loss=1.114472 lr=0.001740 Epoch[148] Batch [1599]/[1880] Speed: 184.699623 samples/sec accuracy=71.846680 loss=1.114609 lr=0.001738 Epoch[148] Batch [1649]/[1880] Speed: 179.553230 samples/sec accuracy=71.832860 loss=1.115128 lr=0.001736 Epoch[148] Batch [1699]/[1880] Speed: 202.165817 samples/sec accuracy=71.822151 loss=1.114820 lr=0.001734 Epoch[148] Batch [1749]/[1880] Speed: 177.810219 samples/sec accuracy=71.833929 loss=1.114245 lr=0.001732 Epoch[148] Batch [1799]/[1880] Speed: 194.220775 samples/sec accuracy=71.849392 loss=1.113604 lr=0.001730 Epoch[148] Batch [1849]/[1880] Speed: 178.441262 samples/sec accuracy=71.852196 loss=1.113288 lr=0.001729 Batch [0049]/[0151]: acc-top1=48.578125 acc-top5=72.828125 Batch [0099]/[0151]: acc-top1=52.429688 acc-top5=75.007812 Batch [0149]/[0151]: acc-top1=51.416667 acc-top5=74.750000 [Epoch 148] training: accuracy=71.841755 loss=1.113786 [Epoch 148] speed: 184 samples/sec time cost: 1417.931353 [Epoch 148] validation: acc-top1=51.350373 acc-top5=74.684396 loss=2.249788 Epoch[149] Batch [0049]/[1880] Speed: 131.642552 samples/sec accuracy=72.906250 loss=1.055183 lr=0.001726 Epoch[149] Batch [0099]/[1880] Speed: 205.254847 samples/sec accuracy=72.617188 loss=1.084065 lr=0.001724 Epoch[149] Batch [0149]/[1880] Speed: 167.228611 samples/sec accuracy=72.692708 loss=1.073119 lr=0.001722 Epoch[149] Batch [0199]/[1880] Speed: 205.639321 samples/sec accuracy=72.742188 loss=1.080484 lr=0.001720 Epoch[149] Batch [0249]/[1880] Speed: 172.775836 samples/sec accuracy=72.553125 loss=1.087788 lr=0.001718 Epoch[149] Batch [0299]/[1880] Speed: 190.618445 samples/sec accuracy=72.580729 loss=1.086472 lr=0.001716 Epoch[149] Batch [0349]/[1880] Speed: 201.405641 samples/sec accuracy=72.531250 loss=1.091023 lr=0.001715 Epoch[149] Batch [0399]/[1880] Speed: 165.744468 samples/sec accuracy=72.279297 loss=1.100191 lr=0.001713 Epoch[149] Batch [0449]/[1880] Speed: 196.703739 samples/sec accuracy=72.282986 loss=1.099112 lr=0.001711 Epoch[149] Batch [0499]/[1880] Speed: 188.624627 samples/sec accuracy=72.320312 loss=1.097216 lr=0.001709 Epoch[149] Batch [0549]/[1880] Speed: 174.512887 samples/sec accuracy=72.259943 loss=1.097709 lr=0.001707 Epoch[149] Batch [0599]/[1880] Speed: 199.747444 samples/sec accuracy=72.274740 loss=1.096788 lr=0.001705 Epoch[149] Batch [0649]/[1880] Speed: 174.842767 samples/sec accuracy=72.343750 loss=1.094936 lr=0.001704 Epoch[149] Batch [0699]/[1880] Speed: 190.241362 samples/sec accuracy=72.291295 loss=1.097010 lr=0.001702 Epoch[149] Batch [0749]/[1880] Speed: 189.902782 samples/sec accuracy=72.278125 loss=1.097070 lr=0.001700 Epoch[149] Batch [0799]/[1880] Speed: 181.131846 samples/sec accuracy=72.217773 loss=1.097576 lr=0.001698 Epoch[149] Batch [0849]/[1880] Speed: 179.639893 samples/sec accuracy=72.235294 loss=1.098212 lr=0.001696 Epoch[149] Batch [0899]/[1880] Speed: 201.422534 samples/sec accuracy=72.195312 loss=1.099913 lr=0.001694 Epoch[149] Batch [0949]/[1880] Speed: 190.177981 samples/sec accuracy=72.180921 loss=1.101497 lr=0.001693 Epoch[149] Batch [0999]/[1880] Speed: 173.215934 samples/sec accuracy=72.195312 loss=1.100384 lr=0.001691 Epoch[149] Batch [1049]/[1880] Speed: 194.537899 samples/sec accuracy=72.170387 loss=1.101253 lr=0.001689 Epoch[149] Batch [1099]/[1880] Speed: 179.983890 samples/sec accuracy=72.202415 loss=1.100220 lr=0.001687 Epoch[149] Batch [1149]/[1880] Speed: 186.777839 samples/sec accuracy=72.226223 loss=1.099083 lr=0.001685 Epoch[149] Batch [1199]/[1880] Speed: 185.490779 samples/sec accuracy=72.263021 loss=1.097418 lr=0.001684 Epoch[149] Batch [1249]/[1880] Speed: 185.102923 samples/sec accuracy=72.222500 loss=1.099633 lr=0.001682 Epoch[149] Batch [1299]/[1880] Speed: 189.283105 samples/sec accuracy=72.226562 loss=1.099548 lr=0.001680 Epoch[149] Batch [1349]/[1880] Speed: 180.005621 samples/sec accuracy=72.203125 loss=1.100444 lr=0.001678 Epoch[149] Batch [1399]/[1880] Speed: 190.516705 samples/sec accuracy=72.199777 loss=1.101040 lr=0.001676 Epoch[149] Batch [1449]/[1880] Speed: 182.072578 samples/sec accuracy=72.234375 loss=1.101365 lr=0.001674 Epoch[149] Batch [1499]/[1880] Speed: 191.673529 samples/sec accuracy=72.200521 loss=1.102666 lr=0.001673 Epoch[149] Batch [1549]/[1880] Speed: 193.794352 samples/sec accuracy=72.169355 loss=1.103248 lr=0.001671 Epoch[149] Batch [1599]/[1880] Speed: 168.765646 samples/sec accuracy=72.143555 loss=1.104359 lr=0.001669 Epoch[149] Batch [1649]/[1880] Speed: 203.606845 samples/sec accuracy=72.159091 loss=1.105067 lr=0.001667 Epoch[149] Batch [1699]/[1880] Speed: 174.603906 samples/sec accuracy=72.172335 loss=1.104977 lr=0.001665 Epoch[149] Batch [1749]/[1880] Speed: 188.577541 samples/sec accuracy=72.154464 loss=1.105553 lr=0.001664 Epoch[149] Batch [1799]/[1880] Speed: 201.276463 samples/sec accuracy=72.161024 loss=1.105264 lr=0.001662 Epoch[149] Batch [1849]/[1880] Speed: 162.038567 samples/sec accuracy=72.198480 loss=1.103932 lr=0.001660 Batch [0049]/[0151]: acc-top1=48.218750 acc-top5=72.734375 Batch [0099]/[0151]: acc-top1=52.156250 acc-top5=74.687500 Batch [0149]/[0151]: acc-top1=51.031250 acc-top5=74.338542 [Epoch 149] training: accuracy=72.200798 loss=1.103805 [Epoch 149] speed: 184 samples/sec time cost: 1418.163410 [Epoch 149] validation: acc-top1=51.003725 acc-top5=74.301531 loss=2.283992 Epoch[150] Batch [0049]/[1880] Speed: 130.252032 samples/sec accuracy=71.734375 loss=1.134897 lr=0.001657 Epoch[150] Batch [0099]/[1880] Speed: 198.281518 samples/sec accuracy=72.421875 loss=1.113900 lr=0.001655 Epoch[150] Batch [0149]/[1880] Speed: 189.869613 samples/sec accuracy=72.296875 loss=1.107706 lr=0.001653 Epoch[150] Batch [0199]/[1880] Speed: 172.066016 samples/sec accuracy=72.449219 loss=1.096576 lr=0.001652 Epoch[150] Batch [0249]/[1880] Speed: 201.802655 samples/sec accuracy=72.456250 loss=1.095718 lr=0.001650 Epoch[150] Batch [0299]/[1880] Speed: 175.105979 samples/sec accuracy=72.427083 loss=1.092795 lr=0.001648 Epoch[150] Batch [0349]/[1880] Speed: 191.082354 samples/sec accuracy=72.363839 loss=1.094913 lr=0.001646 Epoch[150] Batch [0399]/[1880] Speed: 186.087504 samples/sec accuracy=72.345703 loss=1.096046 lr=0.001644 Epoch[150] Batch [0449]/[1880] Speed: 179.609725 samples/sec accuracy=72.454861 loss=1.089802 lr=0.001643 Epoch[150] Batch [0499]/[1880] Speed: 201.192919 samples/sec accuracy=72.421875 loss=1.089273 lr=0.001641 Epoch[150] Batch [0549]/[1880] Speed: 179.685162 samples/sec accuracy=72.492898 loss=1.086532 lr=0.001639 Epoch[150] Batch [0599]/[1880] Speed: 188.465139 samples/sec accuracy=72.572917 loss=1.083414 lr=0.001637 Epoch[150] Batch [0649]/[1880] Speed: 186.507489 samples/sec accuracy=72.545673 loss=1.084488 lr=0.001635 Epoch[150] Batch [0699]/[1880] Speed: 189.124704 samples/sec accuracy=72.476562 loss=1.087857 lr=0.001634 Epoch[150] Batch [0749]/[1880] Speed: 179.291530 samples/sec accuracy=72.481250 loss=1.087483 lr=0.001632 Epoch[150] Batch [0799]/[1880] Speed: 190.411697 samples/sec accuracy=72.464844 loss=1.088424 lr=0.001630 Epoch[150] Batch [0849]/[1880] Speed: 180.631813 samples/sec accuracy=72.466912 loss=1.088362 lr=0.001628 Epoch[150] Batch [0899]/[1880] Speed: 182.023788 samples/sec accuracy=72.414062 loss=1.089725 lr=0.001626 Epoch[150] Batch [0949]/[1880] Speed: 200.390730 samples/sec accuracy=72.421875 loss=1.088833 lr=0.001625 Epoch[150] Batch [0999]/[1880] Speed: 174.073182 samples/sec accuracy=72.440625 loss=1.088846 lr=0.001623 Epoch[150] Batch [1049]/[1880] Speed: 190.234348 samples/sec accuracy=72.392857 loss=1.090554 lr=0.001621 Epoch[150] Batch [1099]/[1880] Speed: 187.134214 samples/sec accuracy=72.379972 loss=1.091647 lr=0.001619 Epoch[150] Batch [1149]/[1880] Speed: 182.250748 samples/sec accuracy=72.408967 loss=1.090775 lr=0.001618 Epoch[150] Batch [1199]/[1880] Speed: 181.170576 samples/sec accuracy=72.399089 loss=1.090894 lr=0.001616 Epoch[150] Batch [1249]/[1880] Speed: 181.251149 samples/sec accuracy=72.368750 loss=1.092490 lr=0.001614 Epoch[150] Batch [1299]/[1880] Speed: 197.924770 samples/sec accuracy=72.401442 loss=1.092182 lr=0.001612 Epoch[150] Batch [1349]/[1880] Speed: 180.070396 samples/sec accuracy=72.380787 loss=1.092312 lr=0.001610 Epoch[150] Batch [1399]/[1880] Speed: 189.985980 samples/sec accuracy=72.421875 loss=1.091829 lr=0.001609 Epoch[150] Batch [1449]/[1880] Speed: 172.785581 samples/sec accuracy=72.403017 loss=1.091735 lr=0.001607 Epoch[150] Batch [1499]/[1880] Speed: 193.225947 samples/sec accuracy=72.382292 loss=1.092411 lr=0.001605 Epoch[150] Batch [1549]/[1880] Speed: 193.321606 samples/sec accuracy=72.411290 loss=1.091420 lr=0.001603 Epoch[150] Batch [1599]/[1880] Speed: 172.317052 samples/sec accuracy=72.396484 loss=1.091957 lr=0.001601 Epoch[150] Batch [1649]/[1880] Speed: 202.915966 samples/sec accuracy=72.388731 loss=1.092613 lr=0.001600 Epoch[150] Batch [1699]/[1880] Speed: 176.481101 samples/sec accuracy=72.404412 loss=1.092500 lr=0.001598 Epoch[150] Batch [1749]/[1880] Speed: 186.116120 samples/sec accuracy=72.405357 loss=1.091933 lr=0.001596 Epoch[150] Batch [1799]/[1880] Speed: 200.453627 samples/sec accuracy=72.414931 loss=1.091182 lr=0.001594 Epoch[150] Batch [1849]/[1880] Speed: 170.327869 samples/sec accuracy=72.402449 loss=1.091410 lr=0.001593 Batch [0049]/[0151]: acc-top1=48.578125 acc-top5=72.875000 Batch [0099]/[0151]: acc-top1=51.992188 acc-top5=75.015625 Batch [0149]/[0151]: acc-top1=51.276042 acc-top5=74.619792 [Epoch 150] training: accuracy=72.406499 loss=1.090707 [Epoch 150] speed: 184 samples/sec time cost: 1417.579604 [Epoch 150] validation: acc-top1=51.226200 acc-top5=74.596440 loss=2.281282 Epoch[151] Batch [0049]/[1879] Speed: 131.415202 samples/sec accuracy=73.156250 loss=1.089890 lr=0.001590 Epoch[151] Batch [0099]/[1879] Speed: 197.462043 samples/sec accuracy=73.023438 loss=1.078921 lr=0.001588 Epoch[151] Batch [0149]/[1879] Speed: 172.999275 samples/sec accuracy=73.062500 loss=1.073539 lr=0.001586 Epoch[151] Batch [0199]/[1879] Speed: 189.461840 samples/sec accuracy=72.781250 loss=1.082247 lr=0.001584 Epoch[151] Batch [0249]/[1879] Speed: 190.259824 samples/sec accuracy=72.781250 loss=1.081485 lr=0.001583 Epoch[151] Batch [0299]/[1879] Speed: 184.989850 samples/sec accuracy=72.911458 loss=1.074673 lr=0.001581 Epoch[151] Batch [0349]/[1879] Speed: 187.915832 samples/sec accuracy=72.877232 loss=1.075785 lr=0.001579 Epoch[151] Batch [0399]/[1879] Speed: 184.473965 samples/sec accuracy=73.003906 loss=1.071745 lr=0.001577 Epoch[151] Batch [0449]/[1879] Speed: 180.641929 samples/sec accuracy=73.053819 loss=1.066071 lr=0.001576 Epoch[151] Batch [0499]/[1879] Speed: 205.168920 samples/sec accuracy=72.987500 loss=1.070011 lr=0.001574 Epoch[151] Batch [0549]/[1879] Speed: 188.053720 samples/sec accuracy=72.948864 loss=1.070486 lr=0.001572 Epoch[151] Batch [0599]/[1879] Speed: 169.632876 samples/sec accuracy=72.973958 loss=1.070406 lr=0.001570 Epoch[151] Batch [0649]/[1879] Speed: 199.489999 samples/sec accuracy=72.989183 loss=1.069659 lr=0.001568 Epoch[151] Batch [0699]/[1879] Speed: 182.957692 samples/sec accuracy=72.978795 loss=1.070352 lr=0.001567 Epoch[151] Batch [0749]/[1879] Speed: 181.816283 samples/sec accuracy=73.010417 loss=1.069605 lr=0.001565 Epoch[151] Batch [0799]/[1879] Speed: 200.806420 samples/sec accuracy=72.958984 loss=1.069787 lr=0.001563 Epoch[151] Batch [0849]/[1879] Speed: 173.068898 samples/sec accuracy=73.000000 loss=1.069016 lr=0.001561 Epoch[151] Batch [0899]/[1879] Speed: 198.079820 samples/sec accuracy=72.968750 loss=1.069919 lr=0.001560 Epoch[151] Batch [0949]/[1879] Speed: 172.472633 samples/sec accuracy=72.985197 loss=1.069506 lr=0.001558 Epoch[151] Batch [0999]/[1879] Speed: 196.597357 samples/sec accuracy=72.935938 loss=1.071179 lr=0.001556 Epoch[151] Batch [1049]/[1879] Speed: 175.494062 samples/sec accuracy=72.883185 loss=1.072142 lr=0.001554 Epoch[151] Batch [1099]/[1879] Speed: 205.365876 samples/sec accuracy=72.862216 loss=1.072408 lr=0.001553 Epoch[151] Batch [1149]/[1879] Speed: 175.839183 samples/sec accuracy=72.847826 loss=1.072635 lr=0.001551 Epoch[151] Batch [1199]/[1879] Speed: 182.391144 samples/sec accuracy=72.827474 loss=1.073521 lr=0.001549 Epoch[151] Batch [1249]/[1879] Speed: 190.571210 samples/sec accuracy=72.828750 loss=1.073049 lr=0.001547 Epoch[151] Batch [1299]/[1879] Speed: 181.505098 samples/sec accuracy=72.781250 loss=1.074043 lr=0.001546 Epoch[151] Batch [1349]/[1879] Speed: 191.826091 samples/sec accuracy=72.765046 loss=1.075107 lr=0.001544 Epoch[151] Batch [1399]/[1879] Speed: 197.220316 samples/sec accuracy=72.786830 loss=1.075250 lr=0.001542 Epoch[151] Batch [1449]/[1879] Speed: 171.501991 samples/sec accuracy=72.761315 loss=1.076656 lr=0.001540 Epoch[151] Batch [1499]/[1879] Speed: 194.204020 samples/sec accuracy=72.760417 loss=1.076998 lr=0.001539 Epoch[151] Batch [1549]/[1879] Speed: 189.704092 samples/sec accuracy=72.780242 loss=1.076818 lr=0.001537 Epoch[151] Batch [1599]/[1879] Speed: 181.245798 samples/sec accuracy=72.790039 loss=1.076873 lr=0.001535 Epoch[151] Batch [1649]/[1879] Speed: 183.238797 samples/sec accuracy=72.757102 loss=1.078054 lr=0.001533 Epoch[151] Batch [1699]/[1879] Speed: 187.923855 samples/sec accuracy=72.767004 loss=1.078030 lr=0.001531 Epoch[151] Batch [1749]/[1879] Speed: 177.718817 samples/sec accuracy=72.785714 loss=1.077394 lr=0.001530 Epoch[151] Batch [1799]/[1879] Speed: 197.323329 samples/sec accuracy=72.786458 loss=1.077341 lr=0.001528 Epoch[151] Batch [1849]/[1879] Speed: 192.876403 samples/sec accuracy=72.773226 loss=1.077731 lr=0.001526 Batch [0049]/[0151]: acc-top1=49.031250 acc-top5=73.234375 Batch [0099]/[0151]: acc-top1=52.554688 acc-top5=75.304688 Batch [0149]/[0151]: acc-top1=51.703125 acc-top5=75.015625 [Epoch 151] training: accuracy=72.769758 loss=1.077789 [Epoch 151] speed: 184 samples/sec time cost: 1415.801470 [Epoch 151] validation: acc-top1=51.655629 acc-top5=74.989652 loss=2.241496 Epoch[152] Batch [0049]/[1880] Speed: 134.920669 samples/sec accuracy=72.875000 loss=1.056041 lr=0.001523 Epoch[152] Batch [0099]/[1880] Speed: 198.130709 samples/sec accuracy=72.812500 loss=1.066613 lr=0.001522 Epoch[152] Batch [0149]/[1880] Speed: 178.290784 samples/sec accuracy=72.895833 loss=1.063279 lr=0.001520 Epoch[152] Batch [0199]/[1880] Speed: 197.119167 samples/sec accuracy=73.015625 loss=1.063065 lr=0.001518 Epoch[152] Batch [0249]/[1880] Speed: 182.348036 samples/sec accuracy=72.962500 loss=1.061917 lr=0.001517 Epoch[152] Batch [0299]/[1880] Speed: 180.111470 samples/sec accuracy=72.906250 loss=1.063042 lr=0.001515 Epoch[152] Batch [0349]/[1880] Speed: 189.351983 samples/sec accuracy=72.801339 loss=1.067206 lr=0.001513 Epoch[152] Batch [0399]/[1880] Speed: 189.723642 samples/sec accuracy=72.960938 loss=1.061975 lr=0.001511 Epoch[152] Batch [0449]/[1880] Speed: 179.902483 samples/sec accuracy=72.866319 loss=1.063974 lr=0.001510 Epoch[152] Batch [0499]/[1880] Speed: 192.143714 samples/sec accuracy=72.912500 loss=1.065865 lr=0.001508 Epoch[152] Batch [0549]/[1880] Speed: 187.976669 samples/sec accuracy=72.953125 loss=1.065758 lr=0.001506 Epoch[152] Batch [0599]/[1880] Speed: 183.902337 samples/sec accuracy=72.954427 loss=1.065423 lr=0.001504 Epoch[152] Batch [0649]/[1880] Speed: 179.713547 samples/sec accuracy=72.902644 loss=1.068500 lr=0.001503 Epoch[152] Batch [0699]/[1880] Speed: 187.634557 samples/sec accuracy=72.934152 loss=1.066814 lr=0.001501 Epoch[152] Batch [0749]/[1880] Speed: 183.946680 samples/sec accuracy=72.971875 loss=1.065630 lr=0.001499 Epoch[152] Batch [0799]/[1880] Speed: 194.701416 samples/sec accuracy=73.046875 loss=1.064145 lr=0.001497 Epoch[152] Batch [0849]/[1880] Speed: 186.553112 samples/sec accuracy=73.044118 loss=1.065506 lr=0.001496 Epoch[152] Batch [0899]/[1880] Speed: 191.164814 samples/sec accuracy=73.039062 loss=1.067189 lr=0.001494 Epoch[152] Batch [0949]/[1880] Speed: 181.011725 samples/sec accuracy=73.041941 loss=1.066718 lr=0.001492 Epoch[152] Batch [0999]/[1880] Speed: 177.246896 samples/sec accuracy=73.039062 loss=1.065533 lr=0.001490 Epoch[152] Batch [1049]/[1880] Speed: 203.456296 samples/sec accuracy=73.026786 loss=1.066028 lr=0.001489 Epoch[152] Batch [1099]/[1880] Speed: 181.186652 samples/sec accuracy=72.997159 loss=1.067640 lr=0.001487 Epoch[152] Batch [1149]/[1880] Speed: 178.979831 samples/sec accuracy=72.958560 loss=1.068528 lr=0.001485 Epoch[152] Batch [1199]/[1880] Speed: 193.710557 samples/sec accuracy=72.941406 loss=1.068670 lr=0.001484 Epoch[152] Batch [1249]/[1880] Speed: 184.900086 samples/sec accuracy=72.944375 loss=1.069572 lr=0.001482 Epoch[152] Batch [1299]/[1880] Speed: 191.760465 samples/sec accuracy=72.912861 loss=1.071462 lr=0.001480 Epoch[152] Batch [1349]/[1880] Speed: 181.996350 samples/sec accuracy=72.898148 loss=1.072228 lr=0.001478 Epoch[152] Batch [1399]/[1880] Speed: 188.276501 samples/sec accuracy=72.897879 loss=1.072323 lr=0.001477 Epoch[152] Batch [1449]/[1880] Speed: 191.086134 samples/sec accuracy=72.897629 loss=1.071910 lr=0.001475 Epoch[152] Batch [1499]/[1880] Speed: 178.572353 samples/sec accuracy=72.879167 loss=1.072147 lr=0.001473 Epoch[152] Batch [1549]/[1880] Speed: 188.952959 samples/sec accuracy=72.883569 loss=1.071431 lr=0.001471 Epoch[152] Batch [1599]/[1880] Speed: 195.254726 samples/sec accuracy=72.849609 loss=1.072611 lr=0.001470 Epoch[152] Batch [1649]/[1880] Speed: 183.401150 samples/sec accuracy=72.845170 loss=1.072409 lr=0.001468 Epoch[152] Batch [1699]/[1880] Speed: 186.976282 samples/sec accuracy=72.860754 loss=1.071518 lr=0.001466 Epoch[152] Batch [1749]/[1880] Speed: 174.705620 samples/sec accuracy=72.876339 loss=1.071225 lr=0.001465 Epoch[152] Batch [1799]/[1880] Speed: 193.490838 samples/sec accuracy=72.869358 loss=1.072211 lr=0.001463 Epoch[152] Batch [1849]/[1880] Speed: 181.424473 samples/sec accuracy=72.873733 loss=1.072411 lr=0.001461 Batch [0049]/[0151]: acc-top1=48.312500 acc-top5=72.703125 Batch [0099]/[0151]: acc-top1=52.109375 acc-top5=74.710938 Batch [0149]/[0151]: acc-top1=51.286458 acc-top5=74.500000 [Epoch 152] training: accuracy=72.851562 loss=1.073083 [Epoch 152] speed: 185 samples/sec time cost: 1411.821749 [Epoch 152] validation: acc-top1=51.246896 acc-top5=74.472268 loss=2.255890 Epoch[153] Batch [0049]/[1880] Speed: 130.370930 samples/sec accuracy=73.734375 loss=1.046687 lr=0.001458 Epoch[153] Batch [0099]/[1880] Speed: 195.598916 samples/sec accuracy=73.546875 loss=1.041022 lr=0.001457 Epoch[153] Batch [0149]/[1880] Speed: 192.766062 samples/sec accuracy=72.984375 loss=1.062724 lr=0.001455 Epoch[153] Batch [0199]/[1880] Speed: 180.280136 samples/sec accuracy=72.984375 loss=1.061699 lr=0.001453 Epoch[153] Batch [0249]/[1880] Speed: 192.353305 samples/sec accuracy=73.037500 loss=1.064511 lr=0.001452 Epoch[153] Batch [0299]/[1880] Speed: 183.984710 samples/sec accuracy=73.109375 loss=1.064011 lr=0.001450 Epoch[153] Batch [0349]/[1880] Speed: 183.145217 samples/sec accuracy=73.125000 loss=1.060875 lr=0.001448 Epoch[153] Batch [0399]/[1880] Speed: 194.671143 samples/sec accuracy=73.302734 loss=1.059151 lr=0.001446 Epoch[153] Batch [0449]/[1880] Speed: 182.446553 samples/sec accuracy=73.357639 loss=1.057318 lr=0.001445 Epoch[153] Batch [0499]/[1880] Speed: 184.953548 samples/sec accuracy=73.425000 loss=1.051702 lr=0.001443 Epoch[153] Batch [0549]/[1880] Speed: 184.665329 samples/sec accuracy=73.367898 loss=1.053778 lr=0.001441 Epoch[153] Batch [0599]/[1880] Speed: 179.784355 samples/sec accuracy=73.380208 loss=1.053771 lr=0.001440 Epoch[153] Batch [0649]/[1880] Speed: 189.242980 samples/sec accuracy=73.352163 loss=1.052952 lr=0.001438 Epoch[153] Batch [0699]/[1880] Speed: 175.925681 samples/sec accuracy=73.302455 loss=1.054337 lr=0.001436 Epoch[153] Batch [0749]/[1880] Speed: 192.029480 samples/sec accuracy=73.306250 loss=1.055570 lr=0.001434 Epoch[153] Batch [0799]/[1880] Speed: 197.958657 samples/sec accuracy=73.332031 loss=1.054974 lr=0.001433 Epoch[153] Batch [0849]/[1880] Speed: 166.660878 samples/sec accuracy=73.353860 loss=1.055023 lr=0.001431 Epoch[153] Batch [0899]/[1880] Speed: 207.990193 samples/sec accuracy=73.364583 loss=1.054753 lr=0.001429 Epoch[153] Batch [0949]/[1880] Speed: 171.933804 samples/sec accuracy=73.367599 loss=1.054775 lr=0.001428 Epoch[153] Batch [0999]/[1880] Speed: 193.512091 samples/sec accuracy=73.318750 loss=1.057144 lr=0.001426 Epoch[153] Batch [1049]/[1880] Speed: 190.891737 samples/sec accuracy=73.281994 loss=1.058295 lr=0.001424 Epoch[153] Batch [1099]/[1880] Speed: 178.388824 samples/sec accuracy=73.253551 loss=1.060049 lr=0.001423 Epoch[153] Batch [1149]/[1880] Speed: 191.653069 samples/sec accuracy=73.262228 loss=1.059745 lr=0.001421 Epoch[153] Batch [1199]/[1880] Speed: 185.234396 samples/sec accuracy=73.254557 loss=1.060352 lr=0.001419 Epoch[153] Batch [1249]/[1880] Speed: 183.519593 samples/sec accuracy=73.255625 loss=1.059724 lr=0.001417 Epoch[153] Batch [1299]/[1880] Speed: 185.919684 samples/sec accuracy=73.268029 loss=1.059321 lr=0.001416 Epoch[153] Batch [1349]/[1880] Speed: 182.608945 samples/sec accuracy=73.296296 loss=1.058357 lr=0.001414 Epoch[153] Batch [1399]/[1880] Speed: 186.265862 samples/sec accuracy=73.266183 loss=1.059054 lr=0.001412 Epoch[153] Batch [1449]/[1880] Speed: 181.695339 samples/sec accuracy=73.273168 loss=1.058979 lr=0.001411 Epoch[153] Batch [1499]/[1880] Speed: 187.914353 samples/sec accuracy=73.260937 loss=1.059264 lr=0.001409 Epoch[153] Batch [1549]/[1880] Speed: 199.517729 samples/sec accuracy=73.255040 loss=1.059000 lr=0.001407 Epoch[153] Batch [1599]/[1880] Speed: 170.463080 samples/sec accuracy=73.253418 loss=1.058799 lr=0.001406 Epoch[153] Batch [1649]/[1880] Speed: 185.261946 samples/sec accuracy=73.256629 loss=1.058570 lr=0.001404 Epoch[153] Batch [1699]/[1880] Speed: 189.843177 samples/sec accuracy=73.219210 loss=1.060411 lr=0.001402 Epoch[153] Batch [1749]/[1880] Speed: 191.110519 samples/sec accuracy=73.242857 loss=1.059446 lr=0.001401 Epoch[153] Batch [1799]/[1880] Speed: 184.995387 samples/sec accuracy=73.262587 loss=1.059020 lr=0.001399 Epoch[153] Batch [1849]/[1880] Speed: 174.877969 samples/sec accuracy=73.257179 loss=1.059188 lr=0.001397 Batch [0049]/[0151]: acc-top1=48.343750 acc-top5=72.984375 Batch [0099]/[0151]: acc-top1=52.148438 acc-top5=75.210938 Batch [0149]/[0151]: acc-top1=51.546875 acc-top5=75.052083 [Epoch 153] training: accuracy=73.260472 loss=1.058990 [Epoch 153] speed: 184 samples/sec time cost: 1418.258278 [Epoch 153] validation: acc-top1=51.495240 acc-top5=75.015522 loss=2.283393 Epoch[154] Batch [0049]/[1880] Speed: 134.543431 samples/sec accuracy=74.515625 loss=1.007553 lr=0.001394 Epoch[154] Batch [0099]/[1880] Speed: 193.322326 samples/sec accuracy=74.054688 loss=1.026536 lr=0.001393 Epoch[154] Batch [0149]/[1880] Speed: 171.363956 samples/sec accuracy=74.171875 loss=1.022209 lr=0.001391 Epoch[154] Batch [0199]/[1880] Speed: 207.407931 samples/sec accuracy=74.085938 loss=1.031144 lr=0.001389 Epoch[154] Batch [0249]/[1880] Speed: 182.073163 samples/sec accuracy=73.746875 loss=1.039943 lr=0.001388 Epoch[154] Batch [0299]/[1880] Speed: 185.982680 samples/sec accuracy=73.760417 loss=1.037779 lr=0.001386 Epoch[154] Batch [0349]/[1880] Speed: 180.631900 samples/sec accuracy=73.718750 loss=1.037201 lr=0.001384 Epoch[154] Batch [0399]/[1880] Speed: 191.549888 samples/sec accuracy=73.595703 loss=1.043236 lr=0.001383 Epoch[154] Batch [0449]/[1880] Speed: 189.609640 samples/sec accuracy=73.531250 loss=1.048035 lr=0.001381 Epoch[154] Batch [0499]/[1880] Speed: 194.682222 samples/sec accuracy=73.418750 loss=1.050113 lr=0.001379 Epoch[154] Batch [0549]/[1880] Speed: 174.795304 samples/sec accuracy=73.382102 loss=1.052807 lr=0.001378 Epoch[154] Batch [0599]/[1880] Speed: 194.897464 samples/sec accuracy=73.497396 loss=1.049240 lr=0.001376 Epoch[154] Batch [0649]/[1880] Speed: 189.122297 samples/sec accuracy=73.522837 loss=1.050111 lr=0.001374 Epoch[154] Batch [0699]/[1880] Speed: 176.212316 samples/sec accuracy=73.542411 loss=1.050151 lr=0.001373 Epoch[154] Batch [0749]/[1880] Speed: 173.439103 samples/sec accuracy=73.471875 loss=1.053596 lr=0.001371 Epoch[154] Batch [0799]/[1880] Speed: 201.727227 samples/sec accuracy=73.460938 loss=1.053238 lr=0.001369 Epoch[154] Batch [0849]/[1880] Speed: 187.250864 samples/sec accuracy=73.492647 loss=1.051385 lr=0.001368 Epoch[154] Batch [0899]/[1880] Speed: 174.158107 samples/sec accuracy=73.472222 loss=1.052257 lr=0.001366 Epoch[154] Batch [0949]/[1880] Speed: 202.686124 samples/sec accuracy=73.414474 loss=1.052352 lr=0.001364 Epoch[154] Batch [0999]/[1880] Speed: 194.216705 samples/sec accuracy=73.367188 loss=1.054228 lr=0.001363 Epoch[154] Batch [1049]/[1880] Speed: 171.717967 samples/sec accuracy=73.395833 loss=1.053751 lr=0.001361 Epoch[154] Batch [1099]/[1880] Speed: 182.156672 samples/sec accuracy=73.419034 loss=1.053779 lr=0.001359 Epoch[154] Batch [1149]/[1880] Speed: 191.341049 samples/sec accuracy=73.425951 loss=1.053736 lr=0.001358 Epoch[154] Batch [1199]/[1880] Speed: 184.812063 samples/sec accuracy=73.406901 loss=1.053425 lr=0.001356 Epoch[154] Batch [1249]/[1880] Speed: 186.498702 samples/sec accuracy=73.382500 loss=1.054372 lr=0.001354 Epoch[154] Batch [1299]/[1880] Speed: 171.050656 samples/sec accuracy=73.365986 loss=1.054599 lr=0.001353 Epoch[154] Batch [1349]/[1880] Speed: 200.920956 samples/sec accuracy=73.355324 loss=1.055133 lr=0.001351 Epoch[154] Batch [1399]/[1880] Speed: 199.605673 samples/sec accuracy=73.338170 loss=1.054938 lr=0.001349 Epoch[154] Batch [1449]/[1880] Speed: 166.730148 samples/sec accuracy=73.349677 loss=1.054257 lr=0.001348 Epoch[154] Batch [1499]/[1880] Speed: 196.850527 samples/sec accuracy=73.320833 loss=1.055434 lr=0.001346 Epoch[154] Batch [1549]/[1880] Speed: 186.899683 samples/sec accuracy=73.352823 loss=1.054291 lr=0.001344 Epoch[154] Batch [1599]/[1880] Speed: 173.750676 samples/sec accuracy=73.369629 loss=1.054206 lr=0.001343 Epoch[154] Batch [1649]/[1880] Speed: 202.414207 samples/sec accuracy=73.390152 loss=1.052964 lr=0.001341 Epoch[154] Batch [1699]/[1880] Speed: 169.904731 samples/sec accuracy=73.376379 loss=1.053365 lr=0.001339 Epoch[154] Batch [1749]/[1880] Speed: 194.496392 samples/sec accuracy=73.391964 loss=1.053665 lr=0.001338 Epoch[154] Batch [1799]/[1880] Speed: 197.228790 samples/sec accuracy=73.391493 loss=1.053356 lr=0.001336 Epoch[154] Batch [1849]/[1880] Speed: 178.814049 samples/sec accuracy=73.392736 loss=1.053265 lr=0.001334 Batch [0049]/[0151]: acc-top1=48.937500 acc-top5=73.093750 Batch [0099]/[0151]: acc-top1=52.335937 acc-top5=75.101562 Batch [0149]/[0151]: acc-top1=51.479167 acc-top5=74.791667 [Epoch 154] training: accuracy=73.410073 loss=1.052987 [Epoch 154] speed: 184 samples/sec time cost: 1416.420981 [Epoch 154] validation: acc-top1=51.396937 acc-top5=74.746482 loss=2.282102 Epoch[155] Batch [0049]/[1880] Speed: 135.203092 samples/sec accuracy=73.968750 loss=1.026848 lr=0.001332 Epoch[155] Batch [0099]/[1880] Speed: 178.881241 samples/sec accuracy=73.539062 loss=1.030589 lr=0.001330 Epoch[155] Batch [0149]/[1880] Speed: 186.564533 samples/sec accuracy=73.463542 loss=1.032947 lr=0.001328 Epoch[155] Batch [0199]/[1880] Speed: 193.754043 samples/sec accuracy=73.382812 loss=1.034968 lr=0.001327 Epoch[155] Batch [0249]/[1880] Speed: 180.870843 samples/sec accuracy=73.518750 loss=1.037425 lr=0.001325 Epoch[155] Batch [0299]/[1880] Speed: 191.320503 samples/sec accuracy=73.359375 loss=1.041338 lr=0.001324 Epoch[155] Batch [0349]/[1880] Speed: 181.016289 samples/sec accuracy=73.290179 loss=1.042055 lr=0.001322 Epoch[155] Batch [0399]/[1880] Speed: 182.585434 samples/sec accuracy=73.384766 loss=1.040319 lr=0.001320 Epoch[155] Batch [0449]/[1880] Speed: 179.990050 samples/sec accuracy=73.463542 loss=1.039926 lr=0.001319 Epoch[155] Batch [0499]/[1880] Speed: 198.698419 samples/sec accuracy=73.589062 loss=1.038428 lr=0.001317 Epoch[155] Batch [0549]/[1880] Speed: 185.838779 samples/sec accuracy=73.636364 loss=1.036306 lr=0.001315 Epoch[155] Batch [0599]/[1880] Speed: 181.174537 samples/sec accuracy=73.660156 loss=1.036374 lr=0.001314 Epoch[155] Batch [0649]/[1880] Speed: 188.892523 samples/sec accuracy=73.596154 loss=1.039435 lr=0.001312 Epoch[155] Batch [0699]/[1880] Speed: 192.042388 samples/sec accuracy=73.545759 loss=1.042108 lr=0.001310 Epoch[155] Batch [0749]/[1880] Speed: 174.728465 samples/sec accuracy=73.576042 loss=1.041395 lr=0.001309 Epoch[155] Batch [0799]/[1880] Speed: 199.344583 samples/sec accuracy=73.647461 loss=1.040541 lr=0.001307 Epoch[155] Batch [0849]/[1880] Speed: 175.907785 samples/sec accuracy=73.649816 loss=1.040479 lr=0.001305 Epoch[155] Batch [0899]/[1880] Speed: 187.029572 samples/sec accuracy=73.703125 loss=1.038840 lr=0.001304 Epoch[155] Batch [0949]/[1880] Speed: 195.036006 samples/sec accuracy=73.704770 loss=1.038729 lr=0.001302 Epoch[155] Batch [0999]/[1880] Speed: 170.241475 samples/sec accuracy=73.710938 loss=1.039718 lr=0.001301 Epoch[155] Batch [1049]/[1880] Speed: 203.475673 samples/sec accuracy=73.718006 loss=1.039164 lr=0.001299 Epoch[155] Batch [1099]/[1880] Speed: 168.422795 samples/sec accuracy=73.693892 loss=1.039613 lr=0.001297 Epoch[155] Batch [1149]/[1880] Speed: 196.872085 samples/sec accuracy=73.720109 loss=1.040027 lr=0.001296 Epoch[155] Batch [1199]/[1880] Speed: 174.376740 samples/sec accuracy=73.734375 loss=1.039692 lr=0.001294 Epoch[155] Batch [1249]/[1880] Speed: 193.441370 samples/sec accuracy=73.750625 loss=1.040449 lr=0.001292 Epoch[155] Batch [1299]/[1880] Speed: 199.713223 samples/sec accuracy=73.721154 loss=1.041323 lr=0.001291 Epoch[155] Batch [1349]/[1880] Speed: 161.768921 samples/sec accuracy=73.732639 loss=1.041746 lr=0.001289 Epoch[155] Batch [1399]/[1880] Speed: 197.407550 samples/sec accuracy=73.736607 loss=1.041372 lr=0.001288 Epoch[155] Batch [1449]/[1880] Speed: 179.399081 samples/sec accuracy=73.715517 loss=1.042235 lr=0.001286 Epoch[155] Batch [1499]/[1880] Speed: 184.731761 samples/sec accuracy=73.716667 loss=1.041084 lr=0.001284 Epoch[155] Batch [1549]/[1880] Speed: 191.403957 samples/sec accuracy=73.705645 loss=1.041276 lr=0.001283 Epoch[155] Batch [1599]/[1880] Speed: 189.136216 samples/sec accuracy=73.714355 loss=1.041613 lr=0.001281 Epoch[155] Batch [1649]/[1880] Speed: 185.971336 samples/sec accuracy=73.743845 loss=1.040539 lr=0.001279 Epoch[155] Batch [1699]/[1880] Speed: 191.557540 samples/sec accuracy=73.717371 loss=1.040991 lr=0.001278 Epoch[155] Batch [1749]/[1880] Speed: 178.973779 samples/sec accuracy=73.700000 loss=1.041596 lr=0.001276 Epoch[155] Batch [1799]/[1880] Speed: 179.408411 samples/sec accuracy=73.697049 loss=1.042023 lr=0.001275 Epoch[155] Batch [1849]/[1880] Speed: 190.032541 samples/sec accuracy=73.695101 loss=1.042284 lr=0.001273 Batch [0049]/[0151]: acc-top1=49.218750 acc-top5=73.156250 Batch [0099]/[0151]: acc-top1=52.710938 acc-top5=75.015625 Batch [0149]/[0151]: acc-top1=51.979167 acc-top5=74.937500 [Epoch 155] training: accuracy=73.694315 loss=1.042581 [Epoch 155] speed: 184 samples/sec time cost: 1420.221466 [Epoch 155] validation: acc-top1=51.924669 acc-top5=74.891349 loss=2.245168 Epoch[156] Batch [0049]/[1880] Speed: 135.473930 samples/sec accuracy=73.421875 loss=1.043798 lr=0.001270 Epoch[156] Batch [0099]/[1880] Speed: 183.181496 samples/sec accuracy=73.726562 loss=1.025717 lr=0.001269 Epoch[156] Batch [0149]/[1880] Speed: 190.312000 samples/sec accuracy=74.093750 loss=1.015913 lr=0.001267 Epoch[156] Batch [0199]/[1880] Speed: 188.004244 samples/sec accuracy=73.988281 loss=1.020818 lr=0.001265 Epoch[156] Batch [0249]/[1880] Speed: 171.475069 samples/sec accuracy=74.034375 loss=1.018870 lr=0.001264 Epoch[156] Batch [0299]/[1880] Speed: 201.886217 samples/sec accuracy=74.046875 loss=1.020571 lr=0.001262 Epoch[156] Batch [0349]/[1880] Speed: 180.215033 samples/sec accuracy=74.176339 loss=1.019189 lr=0.001261 Epoch[156] Batch [0399]/[1880] Speed: 178.326388 samples/sec accuracy=74.000000 loss=1.025233 lr=0.001259 Epoch[156] Batch [0449]/[1880] Speed: 194.779862 samples/sec accuracy=74.027778 loss=1.025290 lr=0.001257 Epoch[156] Batch [0499]/[1880] Speed: 191.936254 samples/sec accuracy=74.050000 loss=1.026166 lr=0.001256 Epoch[156] Batch [0549]/[1880] Speed: 174.863919 samples/sec accuracy=74.019886 loss=1.025452 lr=0.001254 Epoch[156] Batch [0599]/[1880] Speed: 194.032888 samples/sec accuracy=74.053385 loss=1.023505 lr=0.001253 Epoch[156] Batch [0649]/[1880] Speed: 172.623808 samples/sec accuracy=74.102163 loss=1.023203 lr=0.001251 Epoch[156] Batch [0699]/[1880] Speed: 197.378476 samples/sec accuracy=74.108259 loss=1.023713 lr=0.001249 Epoch[156] Batch [0749]/[1880] Speed: 198.240738 samples/sec accuracy=74.098958 loss=1.023905 lr=0.001248 Epoch[156] Batch [0799]/[1880] Speed: 167.600633 samples/sec accuracy=74.083984 loss=1.024418 lr=0.001246 Epoch[156] Batch [0849]/[1880] Speed: 201.378346 samples/sec accuracy=74.026654 loss=1.025891 lr=0.001245 Epoch[156] Batch [0899]/[1880] Speed: 170.239722 samples/sec accuracy=73.977431 loss=1.027455 lr=0.001243 Epoch[156] Batch [0949]/[1880] Speed: 199.311261 samples/sec accuracy=73.971217 loss=1.027597 lr=0.001241 Epoch[156] Batch [0999]/[1880] Speed: 173.269112 samples/sec accuracy=73.925781 loss=1.028030 lr=0.001240 Epoch[156] Batch [1049]/[1880] Speed: 201.252754 samples/sec accuracy=73.948661 loss=1.028651 lr=0.001238 Epoch[156] Batch [1099]/[1880] Speed: 193.514821 samples/sec accuracy=73.913352 loss=1.030934 lr=0.001237 Epoch[156] Batch [1149]/[1880] Speed: 166.463840 samples/sec accuracy=73.927310 loss=1.030940 lr=0.001235 Epoch[156] Batch [1199]/[1880] Speed: 200.287449 samples/sec accuracy=73.974609 loss=1.028789 lr=0.001233 Epoch[156] Batch [1249]/[1880] Speed: 177.657125 samples/sec accuracy=73.954375 loss=1.030082 lr=0.001232 Epoch[156] Batch [1299]/[1880] Speed: 189.770816 samples/sec accuracy=73.943510 loss=1.030892 lr=0.001230 Epoch[156] Batch [1349]/[1880] Speed: 189.894046 samples/sec accuracy=73.917245 loss=1.031292 lr=0.001229 Epoch[156] Batch [1399]/[1880] Speed: 174.187498 samples/sec accuracy=73.917969 loss=1.030567 lr=0.001227 Epoch[156] Batch [1449]/[1880] Speed: 199.966232 samples/sec accuracy=73.899246 loss=1.031432 lr=0.001225 Epoch[156] Batch [1499]/[1880] Speed: 176.122724 samples/sec accuracy=73.906771 loss=1.031014 lr=0.001224 Epoch[156] Batch [1549]/[1880] Speed: 183.697539 samples/sec accuracy=73.918851 loss=1.031467 lr=0.001222 Epoch[156] Batch [1599]/[1880] Speed: 204.858900 samples/sec accuracy=73.891113 loss=1.032109 lr=0.001221 Epoch[156] Batch [1649]/[1880] Speed: 170.476119 samples/sec accuracy=73.891098 loss=1.032091 lr=0.001219 Epoch[156] Batch [1699]/[1880] Speed: 199.074847 samples/sec accuracy=73.886949 loss=1.031854 lr=0.001217 Epoch[156] Batch [1749]/[1880] Speed: 168.227864 samples/sec accuracy=73.883929 loss=1.032243 lr=0.001216 Epoch[156] Batch [1799]/[1880] Speed: 199.717138 samples/sec accuracy=73.887587 loss=1.032494 lr=0.001214 Epoch[156] Batch [1849]/[1880] Speed: 172.194238 samples/sec accuracy=73.857264 loss=1.032596 lr=0.001213 Batch [0049]/[0151]: acc-top1=48.953125 acc-top5=73.109375 Batch [0099]/[0151]: acc-top1=52.375000 acc-top5=75.093750 Batch [0149]/[0151]: acc-top1=51.718750 acc-top5=74.947917 [Epoch 156] training: accuracy=73.839761 loss=1.033609 [Epoch 156] speed: 184 samples/sec time cost: 1419.525135 [Epoch 156] validation: acc-top1=51.671151 acc-top5=74.906871 loss=2.251556 Epoch[157] Batch [0049]/[1879] Speed: 135.834425 samples/sec accuracy=74.093750 loss=1.004685 lr=0.001210 Epoch[157] Batch [0099]/[1879] Speed: 174.977886 samples/sec accuracy=74.351562 loss=1.004902 lr=0.001208 Epoch[157] Batch [0149]/[1879] Speed: 196.350532 samples/sec accuracy=74.572917 loss=1.004055 lr=0.001207 Epoch[157] Batch [0199]/[1879] Speed: 179.111225 samples/sec accuracy=74.753906 loss=1.003770 lr=0.001205 Epoch[157] Batch [0249]/[1879] Speed: 184.688621 samples/sec accuracy=74.612500 loss=1.004972 lr=0.001204 Epoch[157] Batch [0299]/[1879] Speed: 203.181843 samples/sec accuracy=74.523438 loss=1.008051 lr=0.001202 Epoch[157] Batch [0349]/[1879] Speed: 169.099681 samples/sec accuracy=74.437500 loss=1.008955 lr=0.001201 Epoch[157] Batch [0399]/[1879] Speed: 208.629458 samples/sec accuracy=74.382812 loss=1.010853 lr=0.001199 Epoch[157] Batch [0449]/[1879] Speed: 179.352735 samples/sec accuracy=74.489583 loss=1.007150 lr=0.001197 Epoch[157] Batch [0499]/[1879] Speed: 178.314181 samples/sec accuracy=74.421875 loss=1.008669 lr=0.001196 Epoch[157] Batch [0549]/[1879] Speed: 199.528159 samples/sec accuracy=74.413352 loss=1.009503 lr=0.001194 Epoch[157] Batch [0599]/[1879] Speed: 187.287615 samples/sec accuracy=74.309896 loss=1.012107 lr=0.001193 Epoch[157] Batch [0649]/[1879] Speed: 175.003079 samples/sec accuracy=74.336538 loss=1.012410 lr=0.001191 Epoch[157] Batch [0699]/[1879] Speed: 193.726480 samples/sec accuracy=74.360491 loss=1.012343 lr=0.001190 Epoch[157] Batch [0749]/[1879] Speed: 174.615733 samples/sec accuracy=74.346875 loss=1.011934 lr=0.001188 Epoch[157] Batch [0799]/[1879] Speed: 186.635223 samples/sec accuracy=74.403320 loss=1.010100 lr=0.001186 Epoch[157] Batch [0849]/[1879] Speed: 189.659277 samples/sec accuracy=74.340074 loss=1.012000 lr=0.001185 Epoch[157] Batch [0899]/[1879] Speed: 180.093605 samples/sec accuracy=74.300347 loss=1.013512 lr=0.001183 Epoch[157] Batch [0949]/[1879] Speed: 185.100125 samples/sec accuracy=74.365954 loss=1.011477 lr=0.001182 Epoch[157] Batch [0999]/[1879] Speed: 199.464098 samples/sec accuracy=74.325781 loss=1.013365 lr=0.001180 Epoch[157] Batch [1049]/[1879] Speed: 174.967141 samples/sec accuracy=74.301339 loss=1.014004 lr=0.001179 Epoch[157] Batch [1099]/[1879] Speed: 190.025351 samples/sec accuracy=74.294744 loss=1.013817 lr=0.001177 Epoch[157] Batch [1149]/[1879] Speed: 180.984255 samples/sec accuracy=74.276495 loss=1.014624 lr=0.001175 Epoch[157] Batch [1199]/[1879] Speed: 179.329987 samples/sec accuracy=74.252604 loss=1.015955 lr=0.001174 Epoch[157] Batch [1249]/[1879] Speed: 196.946929 samples/sec accuracy=74.238750 loss=1.016848 lr=0.001172 Epoch[157] Batch [1299]/[1879] Speed: 176.758639 samples/sec accuracy=74.242188 loss=1.016918 lr=0.001171 Epoch[157] Batch [1349]/[1879] Speed: 195.611819 samples/sec accuracy=74.217014 loss=1.018341 lr=0.001169 Epoch[157] Batch [1399]/[1879] Speed: 190.152652 samples/sec accuracy=74.228795 loss=1.018324 lr=0.001168 Epoch[157] Batch [1449]/[1879] Speed: 179.507811 samples/sec accuracy=74.240302 loss=1.018106 lr=0.001166 Epoch[157] Batch [1499]/[1879] Speed: 183.791155 samples/sec accuracy=74.272917 loss=1.016603 lr=0.001164 Epoch[157] Batch [1549]/[1879] Speed: 185.008812 samples/sec accuracy=74.258569 loss=1.016579 lr=0.001163 Epoch[157] Batch [1599]/[1879] Speed: 185.854358 samples/sec accuracy=74.238281 loss=1.017019 lr=0.001161 Epoch[157] Batch [1649]/[1879] Speed: 196.122091 samples/sec accuracy=74.213542 loss=1.017984 lr=0.001160 Epoch[157] Batch [1699]/[1879] Speed: 165.394726 samples/sec accuracy=74.216912 loss=1.017631 lr=0.001158 Epoch[157] Batch [1749]/[1879] Speed: 201.429291 samples/sec accuracy=74.222768 loss=1.017399 lr=0.001157 Epoch[157] Batch [1799]/[1879] Speed: 199.097860 samples/sec accuracy=74.213108 loss=1.017864 lr=0.001155 Epoch[157] Batch [1849]/[1879] Speed: 164.996456 samples/sec accuracy=74.226351 loss=1.018197 lr=0.001154 Batch [0049]/[0151]: acc-top1=48.593750 acc-top5=73.375000 Batch [0099]/[0151]: acc-top1=52.265625 acc-top5=75.265625 Batch [0149]/[0151]: acc-top1=51.593750 acc-top5=75.000000 [Epoch 157] training: accuracy=74.227897 loss=1.018282 [Epoch 157] speed: 184 samples/sec time cost: 1417.936995 [Epoch 157] validation: acc-top1=51.557326 acc-top5=74.963783 loss=2.271800 Epoch[158] Batch [0049]/[1880] Speed: 133.995604 samples/sec accuracy=74.906250 loss=1.012534 lr=0.001151 Epoch[158] Batch [0099]/[1880] Speed: 192.673653 samples/sec accuracy=75.265625 loss=0.995016 lr=0.001150 Epoch[158] Batch [0149]/[1880] Speed: 179.892264 samples/sec accuracy=74.984375 loss=0.998042 lr=0.001148 Epoch[158] Batch [0199]/[1880] Speed: 185.166934 samples/sec accuracy=75.203125 loss=0.991634 lr=0.001147 Epoch[158] Batch [0249]/[1880] Speed: 197.575016 samples/sec accuracy=75.309375 loss=0.989478 lr=0.001145 Epoch[158] Batch [0299]/[1880] Speed: 171.279198 samples/sec accuracy=75.101562 loss=0.989618 lr=0.001143 Epoch[158] Batch [0349]/[1880] Speed: 193.573068 samples/sec accuracy=75.035714 loss=0.990083 lr=0.001142 Epoch[158] Batch [0399]/[1880] Speed: 184.115705 samples/sec accuracy=74.996094 loss=0.990085 lr=0.001140 Epoch[158] Batch [0449]/[1880] Speed: 168.244572 samples/sec accuracy=74.916667 loss=0.992488 lr=0.001139 Epoch[158] Batch [0499]/[1880] Speed: 203.169100 samples/sec accuracy=74.939062 loss=0.992365 lr=0.001137 Epoch[158] Batch [0549]/[1880] Speed: 197.074372 samples/sec accuracy=74.866477 loss=0.992275 lr=0.001136 Epoch[158] Batch [0599]/[1880] Speed: 167.218782 samples/sec accuracy=74.805990 loss=0.995018 lr=0.001134 Epoch[158] Batch [0649]/[1880] Speed: 206.222658 samples/sec accuracy=74.703125 loss=0.998613 lr=0.001133 Epoch[158] Batch [0699]/[1880] Speed: 168.017982 samples/sec accuracy=74.723214 loss=0.997938 lr=0.001131 Epoch[158] Batch [0749]/[1880] Speed: 192.880386 samples/sec accuracy=74.642708 loss=1.001820 lr=0.001130 Epoch[158] Batch [0799]/[1880] Speed: 197.343626 samples/sec accuracy=74.594727 loss=1.003409 lr=0.001128 Epoch[158] Batch [0849]/[1880] Speed: 169.110308 samples/sec accuracy=74.585478 loss=1.003684 lr=0.001126 Epoch[158] Batch [0899]/[1880] Speed: 199.818004 samples/sec accuracy=74.562500 loss=1.004785 lr=0.001125 Epoch[158] Batch [0949]/[1880] Speed: 173.391380 samples/sec accuracy=74.538651 loss=1.003697 lr=0.001123 Epoch[158] Batch [0999]/[1880] Speed: 195.738384 samples/sec accuracy=74.500781 loss=1.005242 lr=0.001122 Epoch[158] Batch [1049]/[1880] Speed: 182.662430 samples/sec accuracy=74.473958 loss=1.007062 lr=0.001120 Epoch[158] Batch [1099]/[1880] Speed: 188.371688 samples/sec accuracy=74.473011 loss=1.007421 lr=0.001119 Epoch[158] Batch [1149]/[1880] Speed: 185.846281 samples/sec accuracy=74.462636 loss=1.007731 lr=0.001117 Epoch[158] Batch [1199]/[1880] Speed: 172.654008 samples/sec accuracy=74.428385 loss=1.009084 lr=0.001116 Epoch[158] Batch [1249]/[1880] Speed: 205.108743 samples/sec accuracy=74.395625 loss=1.010544 lr=0.001114 Epoch[158] Batch [1299]/[1880] Speed: 175.512904 samples/sec accuracy=74.378606 loss=1.012060 lr=0.001113 Epoch[158] Batch [1349]/[1880] Speed: 178.907341 samples/sec accuracy=74.390625 loss=1.011836 lr=0.001111 Epoch[158] Batch [1399]/[1880] Speed: 200.956993 samples/sec accuracy=74.386161 loss=1.011803 lr=0.001110 Epoch[158] Batch [1449]/[1880] Speed: 174.231595 samples/sec accuracy=74.407328 loss=1.011483 lr=0.001108 Epoch[158] Batch [1499]/[1880] Speed: 194.753750 samples/sec accuracy=74.381250 loss=1.012806 lr=0.001107 Epoch[158] Batch [1549]/[1880] Speed: 191.443368 samples/sec accuracy=74.364919 loss=1.013262 lr=0.001105 Epoch[158] Batch [1599]/[1880] Speed: 176.742935 samples/sec accuracy=74.352051 loss=1.013744 lr=0.001104 Epoch[158] Batch [1649]/[1880] Speed: 193.350486 samples/sec accuracy=74.344223 loss=1.013550 lr=0.001102 Epoch[158] Batch [1699]/[1880] Speed: 185.616777 samples/sec accuracy=74.351562 loss=1.013865 lr=0.001100 Epoch[158] Batch [1749]/[1880] Speed: 178.072318 samples/sec accuracy=74.354911 loss=1.014122 lr=0.001099 Epoch[158] Batch [1799]/[1880] Speed: 188.565556 samples/sec accuracy=74.353299 loss=1.013785 lr=0.001097 Epoch[158] Batch [1849]/[1880] Speed: 181.163340 samples/sec accuracy=74.336571 loss=1.014318 lr=0.001096 Batch [0049]/[0151]: acc-top1=49.078125 acc-top5=73.531250 Batch [0099]/[0151]: acc-top1=52.812500 acc-top5=75.500000 Batch [0149]/[0151]: acc-top1=52.020833 acc-top5=75.291667 [Epoch 158] training: accuracy=74.340924 loss=1.013986 [Epoch 158] speed: 184 samples/sec time cost: 1420.716688 [Epoch 158] validation: acc-top1=51.960886 acc-top5=75.258692 loss=2.248170 Epoch[159] Batch [0049]/[1880] Speed: 136.921046 samples/sec accuracy=75.328125 loss=0.976610 lr=0.001093 Epoch[159] Batch [0099]/[1880] Speed: 187.301353 samples/sec accuracy=74.968750 loss=0.985550 lr=0.001092 Epoch[159] Batch [0149]/[1880] Speed: 184.297044 samples/sec accuracy=74.802083 loss=0.999683 lr=0.001090 Epoch[159] Batch [0199]/[1880] Speed: 191.392928 samples/sec accuracy=74.925781 loss=0.996292 lr=0.001089 Epoch[159] Batch [0249]/[1880] Speed: 178.062503 samples/sec accuracy=74.890625 loss=0.998186 lr=0.001087 Epoch[159] Batch [0299]/[1880] Speed: 200.123209 samples/sec accuracy=75.059896 loss=0.992374 lr=0.001086 Epoch[159] Batch [0349]/[1880] Speed: 170.831121 samples/sec accuracy=74.948661 loss=0.997157 lr=0.001084 Epoch[159] Batch [0399]/[1880] Speed: 206.586278 samples/sec accuracy=75.013672 loss=0.995716 lr=0.001083 Epoch[159] Batch [0449]/[1880] Speed: 177.601156 samples/sec accuracy=74.975694 loss=0.995310 lr=0.001081 Epoch[159] Batch [0499]/[1880] Speed: 177.751835 samples/sec accuracy=75.023438 loss=0.993429 lr=0.001080 Epoch[159] Batch [0549]/[1880] Speed: 190.502179 samples/sec accuracy=75.017045 loss=0.993105 lr=0.001078 Epoch[159] Batch [0599]/[1880] Speed: 191.795239 samples/sec accuracy=75.014323 loss=0.993248 lr=0.001077 Epoch[159] Batch [0649]/[1880] Speed: 183.697021 samples/sec accuracy=75.021635 loss=0.991876 lr=0.001075 Epoch[159] Batch [0699]/[1880] Speed: 180.427742 samples/sec accuracy=75.017857 loss=0.991371 lr=0.001074 Epoch[159] Batch [0749]/[1880] Speed: 186.738339 samples/sec accuracy=75.028125 loss=0.989878 lr=0.001072 Epoch[159] Batch [0799]/[1880] Speed: 180.596540 samples/sec accuracy=75.055664 loss=0.987533 lr=0.001071 Epoch[159] Batch [0849]/[1880] Speed: 196.101706 samples/sec accuracy=74.992647 loss=0.990021 lr=0.001069 Epoch[159] Batch [0899]/[1880] Speed: 176.288862 samples/sec accuracy=74.975694 loss=0.990360 lr=0.001068 Epoch[159] Batch [0949]/[1880] Speed: 184.737182 samples/sec accuracy=74.952303 loss=0.991071 lr=0.001066 Epoch[159] Batch [0999]/[1880] Speed: 189.174376 samples/sec accuracy=74.942188 loss=0.991732 lr=0.001065 Epoch[159] Batch [1049]/[1880] Speed: 174.881169 samples/sec accuracy=74.908482 loss=0.992915 lr=0.001063 Epoch[159] Batch [1099]/[1880] Speed: 205.611041 samples/sec accuracy=74.931108 loss=0.991745 lr=0.001062 Epoch[159] Batch [1149]/[1880] Speed: 175.765239 samples/sec accuracy=74.914402 loss=0.992065 lr=0.001060 Epoch[159] Batch [1199]/[1880] Speed: 192.553418 samples/sec accuracy=74.884115 loss=0.993789 lr=0.001059 Epoch[159] Batch [1249]/[1880] Speed: 177.941859 samples/sec accuracy=74.863125 loss=0.994177 lr=0.001057 Epoch[159] Batch [1299]/[1880] Speed: 180.033715 samples/sec accuracy=74.858173 loss=0.994499 lr=0.001056 Epoch[159] Batch [1349]/[1880] Speed: 201.456478 samples/sec accuracy=74.876157 loss=0.993840 lr=0.001054 Epoch[159] Batch [1399]/[1880] Speed: 172.296562 samples/sec accuracy=74.890067 loss=0.993219 lr=0.001053 Epoch[159] Batch [1449]/[1880] Speed: 183.194142 samples/sec accuracy=74.885237 loss=0.993878 lr=0.001051 Epoch[159] Batch [1499]/[1880] Speed: 202.083046 samples/sec accuracy=74.873437 loss=0.993603 lr=0.001050 Epoch[159] Batch [1549]/[1880] Speed: 173.351866 samples/sec accuracy=74.884073 loss=0.992986 lr=0.001048 Epoch[159] Batch [1599]/[1880] Speed: 181.845888 samples/sec accuracy=74.876465 loss=0.993307 lr=0.001047 Epoch[159] Batch [1649]/[1880] Speed: 201.845829 samples/sec accuracy=74.860322 loss=0.994208 lr=0.001045 Epoch[159] Batch [1699]/[1880] Speed: 179.539389 samples/sec accuracy=74.859835 loss=0.994409 lr=0.001044 Epoch[159] Batch [1749]/[1880] Speed: 184.633819 samples/sec accuracy=74.836161 loss=0.995375 lr=0.001042 Epoch[159] Batch [1799]/[1880] Speed: 193.031243 samples/sec accuracy=74.800781 loss=0.996325 lr=0.001041 Epoch[159] Batch [1849]/[1880] Speed: 186.912042 samples/sec accuracy=74.782939 loss=0.997148 lr=0.001039 Batch [0049]/[0151]: acc-top1=48.703125 acc-top5=72.968750 Batch [0099]/[0151]: acc-top1=52.656250 acc-top5=75.460938 Batch [0149]/[0151]: acc-top1=51.854167 acc-top5=75.166667 [Epoch 159] training: accuracy=74.776014 loss=0.997436 [Epoch 159] speed: 184 samples/sec time cost: 1416.990522 [Epoch 159] validation: acc-top1=51.810844 acc-top5=75.129346 loss=2.258578 Epoch[160] Batch [0049]/[1880] Speed: 132.816526 samples/sec accuracy=76.390625 loss=0.943430 lr=0.001037 Epoch[160] Batch [0099]/[1880] Speed: 196.682981 samples/sec accuracy=75.757812 loss=0.949472 lr=0.001036 Epoch[160] Batch [0149]/[1880] Speed: 173.483662 samples/sec accuracy=75.661458 loss=0.955229 lr=0.001034 Epoch[160] Batch [0199]/[1880] Speed: 200.247343 samples/sec accuracy=75.371094 loss=0.965990 lr=0.001033 Epoch[160] Batch [0249]/[1880] Speed: 185.461640 samples/sec accuracy=75.496875 loss=0.960572 lr=0.001031 Epoch[160] Batch [0299]/[1880] Speed: 180.996127 samples/sec accuracy=75.346354 loss=0.965888 lr=0.001030 Epoch[160] Batch [0349]/[1880] Speed: 189.609476 samples/sec accuracy=75.348214 loss=0.968393 lr=0.001028 Epoch[160] Batch [0399]/[1880] Speed: 186.263475 samples/sec accuracy=75.283203 loss=0.973589 lr=0.001027 Epoch[160] Batch [0449]/[1880] Speed: 177.569319 samples/sec accuracy=75.267361 loss=0.975315 lr=0.001025 Epoch[160] Batch [0499]/[1880] Speed: 198.207611 samples/sec accuracy=75.271875 loss=0.974553 lr=0.001024 Epoch[160] Batch [0549]/[1880] Speed: 175.491616 samples/sec accuracy=75.252841 loss=0.975537 lr=0.001022 Epoch[160] Batch [0599]/[1880] Speed: 190.808828 samples/sec accuracy=75.169271 loss=0.978248 lr=0.001021 Epoch[160] Batch [0649]/[1880] Speed: 200.304669 samples/sec accuracy=75.117788 loss=0.980638 lr=0.001019 Epoch[160] Batch [0699]/[1880] Speed: 170.528162 samples/sec accuracy=75.104911 loss=0.982428 lr=0.001018 Epoch[160] Batch [0749]/[1880] Speed: 198.756919 samples/sec accuracy=75.127083 loss=0.982409 lr=0.001016 Epoch[160] Batch [0799]/[1880] Speed: 164.875378 samples/sec accuracy=75.102539 loss=0.983659 lr=0.001015 Epoch[160] Batch [0849]/[1880] Speed: 197.722938 samples/sec accuracy=75.116728 loss=0.982465 lr=0.001014 Epoch[160] Batch [0899]/[1880] Speed: 200.979156 samples/sec accuracy=75.127604 loss=0.982012 lr=0.001012 Epoch[160] Batch [0949]/[1880] Speed: 172.640824 samples/sec accuracy=75.057566 loss=0.983928 lr=0.001011 Epoch[160] Batch [0999]/[1880] Speed: 187.379145 samples/sec accuracy=75.089062 loss=0.982387 lr=0.001009 Epoch[160] Batch [1049]/[1880] Speed: 179.254583 samples/sec accuracy=75.052083 loss=0.983951 lr=0.001008 Epoch[160] Batch [1099]/[1880] Speed: 191.053643 samples/sec accuracy=75.007812 loss=0.985232 lr=0.001006 Epoch[160] Batch [1149]/[1880] Speed: 190.373948 samples/sec accuracy=74.986413 loss=0.984978 lr=0.001005 Epoch[160] Batch [1199]/[1880] Speed: 176.275139 samples/sec accuracy=75.015625 loss=0.984460 lr=0.001003 Epoch[160] Batch [1249]/[1880] Speed: 204.653041 samples/sec accuracy=74.981875 loss=0.986444 lr=0.001002 Epoch[160] Batch [1299]/[1880] Speed: 165.278115 samples/sec accuracy=75.003005 loss=0.985701 lr=0.001000 Epoch[160] Batch [1349]/[1880] Speed: 196.436765 samples/sec accuracy=74.977431 loss=0.986589 lr=0.000999 Epoch[160] Batch [1399]/[1880] Speed: 187.661592 samples/sec accuracy=74.988839 loss=0.986029 lr=0.000997 Epoch[160] Batch [1449]/[1880] Speed: 182.045377 samples/sec accuracy=74.989763 loss=0.985317 lr=0.000996 Epoch[160] Batch [1499]/[1880] Speed: 192.690983 samples/sec accuracy=74.968750 loss=0.985436 lr=0.000995 Epoch[160] Batch [1549]/[1880] Speed: 177.629344 samples/sec accuracy=74.971774 loss=0.984983 lr=0.000993 Epoch[160] Batch [1599]/[1880] Speed: 185.321899 samples/sec accuracy=74.957031 loss=0.985424 lr=0.000992 Epoch[160] Batch [1649]/[1880] Speed: 195.454044 samples/sec accuracy=74.941288 loss=0.985632 lr=0.000990 Epoch[160] Batch [1699]/[1880] Speed: 181.587114 samples/sec accuracy=74.904412 loss=0.986258 lr=0.000989 Epoch[160] Batch [1749]/[1880] Speed: 180.189152 samples/sec accuracy=74.888839 loss=0.986767 lr=0.000987 Epoch[160] Batch [1799]/[1880] Speed: 186.004635 samples/sec accuracy=74.869358 loss=0.988650 lr=0.000986 Epoch[160] Batch [1849]/[1880] Speed: 183.141535 samples/sec accuracy=74.868666 loss=0.988367 lr=0.000984 Batch [0049]/[0151]: acc-top1=49.125000 acc-top5=73.250000 Batch [0099]/[0151]: acc-top1=52.812500 acc-top5=75.421875 Batch [0149]/[0151]: acc-top1=52.026042 acc-top5=75.208333 [Epoch 160] training: accuracy=74.888215 loss=0.987684 [Epoch 160] speed: 184 samples/sec time cost: 1417.263351 [Epoch 160] validation: acc-top1=51.950538 acc-top5=75.150041 loss=2.260412 Epoch[161] Batch [0049]/[1880] Speed: 129.077762 samples/sec accuracy=74.875000 loss=0.978380 lr=0.000982 Epoch[161] Batch [0099]/[1880] Speed: 204.110934 samples/sec accuracy=75.031250 loss=0.971684 lr=0.000981 Epoch[161] Batch [0149]/[1880] Speed: 182.880102 samples/sec accuracy=74.880208 loss=0.981573 lr=0.000979 Epoch[161] Batch [0199]/[1880] Speed: 179.376996 samples/sec accuracy=74.878906 loss=0.982763 lr=0.000978 Epoch[161] Batch [0249]/[1880] Speed: 192.735582 samples/sec accuracy=74.656250 loss=0.993259 lr=0.000976 Epoch[161] Batch [0299]/[1880] Speed: 179.699399 samples/sec accuracy=74.643229 loss=0.994839 lr=0.000975 Epoch[161] Batch [0349]/[1880] Speed: 190.266951 samples/sec accuracy=74.631696 loss=0.994658 lr=0.000973 Epoch[161] Batch [0399]/[1880] Speed: 186.479398 samples/sec accuracy=74.714844 loss=0.988725 lr=0.000972 Epoch[161] Batch [0449]/[1880] Speed: 185.191485 samples/sec accuracy=74.812500 loss=0.986688 lr=0.000971 Epoch[161] Batch [0499]/[1880] Speed: 187.441986 samples/sec accuracy=74.810937 loss=0.983897 lr=0.000969 Epoch[161] Batch [0549]/[1880] Speed: 187.757779 samples/sec accuracy=74.846591 loss=0.982390 lr=0.000968 Epoch[161] Batch [0599]/[1880] Speed: 177.972810 samples/sec accuracy=74.885417 loss=0.981316 lr=0.000966 Epoch[161] Batch [0649]/[1880] Speed: 191.063088 samples/sec accuracy=74.875000 loss=0.979378 lr=0.000965 Epoch[161] Batch [0699]/[1880] Speed: 176.814135 samples/sec accuracy=74.869420 loss=0.981436 lr=0.000963 Epoch[161] Batch [0749]/[1880] Speed: 193.734360 samples/sec accuracy=74.925000 loss=0.980474 lr=0.000962 Epoch[161] Batch [0799]/[1880] Speed: 197.391890 samples/sec accuracy=74.922852 loss=0.981185 lr=0.000960 Epoch[161] Batch [0849]/[1880] Speed: 176.819281 samples/sec accuracy=74.923713 loss=0.980430 lr=0.000959 Epoch[161] Batch [0899]/[1880] Speed: 193.748347 samples/sec accuracy=74.957465 loss=0.979558 lr=0.000958 Epoch[161] Batch [0949]/[1880] Speed: 175.100980 samples/sec accuracy=74.950658 loss=0.980784 lr=0.000956 Epoch[161] Batch [0999]/[1880] Speed: 195.274342 samples/sec accuracy=74.945312 loss=0.980702 lr=0.000955 Epoch[161] Batch [1049]/[1880] Speed: 183.085155 samples/sec accuracy=74.973958 loss=0.980357 lr=0.000953 Epoch[161] Batch [1099]/[1880] Speed: 183.709861 samples/sec accuracy=74.964489 loss=0.980534 lr=0.000952 Epoch[161] Batch [1149]/[1880] Speed: 188.705897 samples/sec accuracy=74.991848 loss=0.980281 lr=0.000950 Epoch[161] Batch [1199]/[1880] Speed: 179.903446 samples/sec accuracy=74.956380 loss=0.981502 lr=0.000949 Epoch[161] Batch [1249]/[1880] Speed: 195.675440 samples/sec accuracy=74.921250 loss=0.982941 lr=0.000948 Epoch[161] Batch [1299]/[1880] Speed: 173.203338 samples/sec accuracy=74.920072 loss=0.982938 lr=0.000946 Epoch[161] Batch [1349]/[1880] Speed: 196.583332 samples/sec accuracy=74.915509 loss=0.982870 lr=0.000945 Epoch[161] Batch [1399]/[1880] Speed: 184.146930 samples/sec accuracy=74.908482 loss=0.983639 lr=0.000943 Epoch[161] Batch [1449]/[1880] Speed: 177.032751 samples/sec accuracy=74.917565 loss=0.984002 lr=0.000942 Epoch[161] Batch [1499]/[1880] Speed: 198.553968 samples/sec accuracy=74.924479 loss=0.984106 lr=0.000940 Epoch[161] Batch [1549]/[1880] Speed: 186.972039 samples/sec accuracy=74.913810 loss=0.985436 lr=0.000939 Epoch[161] Batch [1599]/[1880] Speed: 176.646582 samples/sec accuracy=74.892578 loss=0.986392 lr=0.000938 Epoch[161] Batch [1649]/[1880] Speed: 198.303884 samples/sec accuracy=74.916667 loss=0.986051 lr=0.000936 Epoch[161] Batch [1699]/[1880] Speed: 169.056137 samples/sec accuracy=74.917739 loss=0.985657 lr=0.000935 Epoch[161] Batch [1749]/[1880] Speed: 186.827349 samples/sec accuracy=74.902232 loss=0.986255 lr=0.000933 Epoch[161] Batch [1799]/[1880] Speed: 204.133489 samples/sec accuracy=74.923611 loss=0.986161 lr=0.000932 Epoch[161] Batch [1849]/[1880] Speed: 178.520596 samples/sec accuracy=74.946368 loss=0.985404 lr=0.000931 Batch [0049]/[0151]: acc-top1=49.125000 acc-top5=73.203125 Batch [0099]/[0151]: acc-top1=52.789062 acc-top5=75.437500 Batch [0149]/[0151]: acc-top1=52.234375 acc-top5=75.213542 [Epoch 161] training: accuracy=74.958860 loss=0.984613 [Epoch 161] speed: 184 samples/sec time cost: 1416.356825 [Epoch 161] validation: acc-top1=52.173013 acc-top5=75.160389 loss=2.270085 Epoch[162] Batch [0049]/[1879] Speed: 130.272959 samples/sec accuracy=75.593750 loss=0.981061 lr=0.000928 Epoch[162] Batch [0099]/[1879] Speed: 198.562442 samples/sec accuracy=75.890625 loss=0.959762 lr=0.000927 Epoch[162] Batch [0149]/[1879] Speed: 188.628464 samples/sec accuracy=76.036458 loss=0.960867 lr=0.000926 Epoch[162] Batch [0199]/[1879] Speed: 174.600132 samples/sec accuracy=75.742188 loss=0.964105 lr=0.000924 Epoch[162] Batch [0249]/[1879] Speed: 198.422393 samples/sec accuracy=75.750000 loss=0.964242 lr=0.000923 Epoch[162] Batch [0299]/[1879] Speed: 168.760633 samples/sec accuracy=75.736979 loss=0.966549 lr=0.000921 Epoch[162] Batch [0349]/[1879] Speed: 195.874011 samples/sec accuracy=75.578125 loss=0.972413 lr=0.000920 Epoch[162] Batch [0399]/[1879] Speed: 204.409074 samples/sec accuracy=75.566406 loss=0.973193 lr=0.000918 Epoch[162] Batch [0449]/[1879] Speed: 169.890708 samples/sec accuracy=75.586806 loss=0.970882 lr=0.000917 Epoch[162] Batch [0499]/[1879] Speed: 196.640835 samples/sec accuracy=75.584375 loss=0.971047 lr=0.000916 Epoch[162] Batch [0549]/[1879] Speed: 191.487652 samples/sec accuracy=75.551136 loss=0.969474 lr=0.000914 Epoch[162] Batch [0599]/[1879] Speed: 177.618089 samples/sec accuracy=75.570312 loss=0.969074 lr=0.000913 Epoch[162] Batch [0649]/[1879] Speed: 190.819511 samples/sec accuracy=75.504808 loss=0.972250 lr=0.000911 Epoch[162] Batch [0699]/[1879] Speed: 178.852490 samples/sec accuracy=75.476562 loss=0.972476 lr=0.000910 Epoch[162] Batch [0749]/[1879] Speed: 186.223739 samples/sec accuracy=75.489583 loss=0.971541 lr=0.000909 Epoch[162] Batch [0799]/[1879] Speed: 194.187677 samples/sec accuracy=75.453125 loss=0.972394 lr=0.000907 Epoch[162] Batch [0849]/[1879] Speed: 174.128831 samples/sec accuracy=75.460478 loss=0.971416 lr=0.000906 Epoch[162] Batch [0899]/[1879] Speed: 195.339485 samples/sec accuracy=75.492188 loss=0.971046 lr=0.000904 Epoch[162] Batch [0949]/[1879] Speed: 179.425075 samples/sec accuracy=75.465461 loss=0.971637 lr=0.000903 Epoch[162] Batch [0999]/[1879] Speed: 193.037339 samples/sec accuracy=75.423438 loss=0.973389 lr=0.000902 Epoch[162] Batch [1049]/[1879] Speed: 178.853934 samples/sec accuracy=75.421131 loss=0.973453 lr=0.000900 Epoch[162] Batch [1099]/[1879] Speed: 188.042130 samples/sec accuracy=75.438210 loss=0.972600 lr=0.000899 Epoch[162] Batch [1149]/[1879] Speed: 197.305440 samples/sec accuracy=75.457880 loss=0.971091 lr=0.000898 Epoch[162] Batch [1199]/[1879] Speed: 171.388773 samples/sec accuracy=75.438151 loss=0.972004 lr=0.000896 Epoch[162] Batch [1249]/[1879] Speed: 197.955016 samples/sec accuracy=75.414375 loss=0.971545 lr=0.000895 Epoch[162] Batch [1299]/[1879] Speed: 185.007410 samples/sec accuracy=75.397236 loss=0.972564 lr=0.000893 Epoch[162] Batch [1349]/[1879] Speed: 181.716028 samples/sec accuracy=75.440972 loss=0.970800 lr=0.000892 Epoch[162] Batch [1399]/[1879] Speed: 193.787965 samples/sec accuracy=75.418527 loss=0.971681 lr=0.000891 Epoch[162] Batch [1449]/[1879] Speed: 183.398178 samples/sec accuracy=75.398168 loss=0.972265 lr=0.000889 Epoch[162] Batch [1499]/[1879] Speed: 178.055165 samples/sec accuracy=75.369792 loss=0.974042 lr=0.000888 Epoch[162] Batch [1549]/[1879] Speed: 195.697731 samples/sec accuracy=75.338710 loss=0.975042 lr=0.000886 Epoch[162] Batch [1599]/[1879] Speed: 165.031660 samples/sec accuracy=75.331543 loss=0.975495 lr=0.000885 Epoch[162] Batch [1649]/[1879] Speed: 207.700087 samples/sec accuracy=75.288826 loss=0.977162 lr=0.000884 Epoch[162] Batch [1699]/[1879] Speed: 198.861956 samples/sec accuracy=75.284467 loss=0.977653 lr=0.000882 Epoch[162] Batch [1749]/[1879] Speed: 164.463053 samples/sec accuracy=75.290179 loss=0.976956 lr=0.000881 Epoch[162] Batch [1799]/[1879] Speed: 205.802936 samples/sec accuracy=75.292969 loss=0.977146 lr=0.000880 Epoch[162] Batch [1849]/[1879] Speed: 167.156850 samples/sec accuracy=75.296453 loss=0.977186 lr=0.000878 Batch [0049]/[0151]: acc-top1=48.468750 acc-top5=73.625000 Batch [0099]/[0151]: acc-top1=52.468750 acc-top5=75.750000 Batch [0149]/[0151]: acc-top1=51.911458 acc-top5=75.312500 [Epoch 162] training: accuracy=75.282314 loss=0.977811 [Epoch 162] speed: 184 samples/sec time cost: 1415.672583 [Epoch 162] validation: acc-top1=51.852235 acc-top5=75.253518 loss=2.273554 Epoch[163] Batch [0049]/[1880] Speed: 134.739536 samples/sec accuracy=75.937500 loss=0.950676 lr=0.000876 Epoch[163] Batch [0099]/[1880] Speed: 198.330992 samples/sec accuracy=75.687500 loss=0.963232 lr=0.000875 Epoch[163] Batch [0149]/[1880] Speed: 166.423405 samples/sec accuracy=75.677083 loss=0.962548 lr=0.000873 Epoch[163] Batch [0199]/[1880] Speed: 200.933551 samples/sec accuracy=75.675781 loss=0.956867 lr=0.000872 Epoch[163] Batch [0249]/[1880] Speed: 182.328447 samples/sec accuracy=75.503125 loss=0.960299 lr=0.000871 Epoch[163] Batch [0299]/[1880] Speed: 181.245947 samples/sec accuracy=75.528646 loss=0.960250 lr=0.000869 Epoch[163] Batch [0349]/[1880] Speed: 194.037621 samples/sec accuracy=75.495536 loss=0.961699 lr=0.000868 Epoch[163] Batch [0399]/[1880] Speed: 182.503262 samples/sec accuracy=75.525391 loss=0.961254 lr=0.000866 Epoch[163] Batch [0449]/[1880] Speed: 184.798242 samples/sec accuracy=75.595486 loss=0.955766 lr=0.000865 Epoch[163] Batch [0499]/[1880] Speed: 193.876331 samples/sec accuracy=75.587500 loss=0.956912 lr=0.000864 Epoch[163] Batch [0549]/[1880] Speed: 183.047066 samples/sec accuracy=75.622159 loss=0.954195 lr=0.000862 Epoch[163] Batch [0599]/[1880] Speed: 186.004469 samples/sec accuracy=75.602865 loss=0.954913 lr=0.000861 Epoch[163] Batch [0649]/[1880] Speed: 185.656701 samples/sec accuracy=75.640625 loss=0.955040 lr=0.000860 Epoch[163] Batch [0699]/[1880] Speed: 175.266085 samples/sec accuracy=75.604911 loss=0.956398 lr=0.000858 Epoch[163] Batch [0749]/[1880] Speed: 191.482087 samples/sec accuracy=75.578125 loss=0.957965 lr=0.000857 Epoch[163] Batch [0799]/[1880] Speed: 189.130072 samples/sec accuracy=75.527344 loss=0.960120 lr=0.000856 Epoch[163] Batch [0849]/[1880] Speed: 184.898503 samples/sec accuracy=75.532169 loss=0.960599 lr=0.000854 Epoch[163] Batch [0899]/[1880] Speed: 185.338011 samples/sec accuracy=75.517361 loss=0.961775 lr=0.000853 Epoch[163] Batch [0949]/[1880] Speed: 183.637146 samples/sec accuracy=75.517270 loss=0.961939 lr=0.000851 Epoch[163] Batch [0999]/[1880] Speed: 190.434996 samples/sec accuracy=75.504688 loss=0.962800 lr=0.000850 Epoch[163] Batch [1049]/[1880] Speed: 188.069728 samples/sec accuracy=75.526786 loss=0.962942 lr=0.000849 Epoch[163] Batch [1099]/[1880] Speed: 175.012097 samples/sec accuracy=75.514205 loss=0.963482 lr=0.000847 Epoch[163] Batch [1149]/[1880] Speed: 191.336841 samples/sec accuracy=75.502717 loss=0.963578 lr=0.000846 Epoch[163] Batch [1199]/[1880] Speed: 195.001105 samples/sec accuracy=75.524089 loss=0.963688 lr=0.000845 Epoch[163] Batch [1249]/[1880] Speed: 180.389391 samples/sec accuracy=75.520625 loss=0.964133 lr=0.000843 Epoch[163] Batch [1299]/[1880] Speed: 190.371201 samples/sec accuracy=75.500000 loss=0.965198 lr=0.000842 Epoch[163] Batch [1349]/[1880] Speed: 176.842016 samples/sec accuracy=75.490162 loss=0.965688 lr=0.000841 Epoch[163] Batch [1399]/[1880] Speed: 193.631809 samples/sec accuracy=75.457031 loss=0.965809 lr=0.000839 Epoch[163] Batch [1449]/[1880] Speed: 189.421485 samples/sec accuracy=75.434806 loss=0.965866 lr=0.000838 Epoch[163] Batch [1499]/[1880] Speed: 184.951801 samples/sec accuracy=75.450000 loss=0.965270 lr=0.000837 Epoch[163] Batch [1549]/[1880] Speed: 182.385611 samples/sec accuracy=75.469254 loss=0.964980 lr=0.000835 Epoch[163] Batch [1599]/[1880] Speed: 194.876252 samples/sec accuracy=75.476074 loss=0.964712 lr=0.000834 Epoch[163] Batch [1649]/[1880] Speed: 172.193770 samples/sec accuracy=75.461174 loss=0.965855 lr=0.000833 Epoch[163] Batch [1699]/[1880] Speed: 198.397908 samples/sec accuracy=75.460938 loss=0.965756 lr=0.000831 Epoch[163] Batch [1749]/[1880] Speed: 181.633408 samples/sec accuracy=75.435714 loss=0.966359 lr=0.000830 Epoch[163] Batch [1799]/[1880] Speed: 180.149639 samples/sec accuracy=75.452691 loss=0.965348 lr=0.000829 Epoch[163] Batch [1849]/[1880] Speed: 189.986218 samples/sec accuracy=75.436655 loss=0.965625 lr=0.000827 Batch [0049]/[0151]: acc-top1=49.843750 acc-top5=73.937500 Batch [0099]/[0151]: acc-top1=53.250000 acc-top5=75.945312 Batch [0149]/[0151]: acc-top1=52.255208 acc-top5=75.401042 [Epoch 163] training: accuracy=75.424701 loss=0.965399 [Epoch 163] speed: 184 samples/sec time cost: 1416.223828 [Epoch 163] validation: acc-top1=52.209230 acc-top5=75.336300 loss=2.266856 Epoch[164] Batch [0049]/[1880] Speed: 136.775715 samples/sec accuracy=75.515625 loss=0.954935 lr=0.000825 Epoch[164] Batch [0099]/[1880] Speed: 176.738445 samples/sec accuracy=75.695312 loss=0.959844 lr=0.000824 Epoch[164] Batch [0149]/[1880] Speed: 182.974169 samples/sec accuracy=75.635417 loss=0.959313 lr=0.000822 Epoch[164] Batch [0199]/[1880] Speed: 200.936111 samples/sec accuracy=75.671875 loss=0.963477 lr=0.000821 Epoch[164] Batch [0249]/[1880] Speed: 184.893332 samples/sec accuracy=75.603125 loss=0.969708 lr=0.000820 Epoch[164] Batch [0299]/[1880] Speed: 177.114372 samples/sec accuracy=75.656250 loss=0.965018 lr=0.000818 Epoch[164] Batch [0349]/[1880] Speed: 178.573201 samples/sec accuracy=75.622768 loss=0.964494 lr=0.000817 Epoch[164] Batch [0399]/[1880] Speed: 201.963717 samples/sec accuracy=75.664062 loss=0.965457 lr=0.000816 Epoch[164] Batch [0449]/[1880] Speed: 193.592034 samples/sec accuracy=75.680556 loss=0.965248 lr=0.000814 Epoch[164] Batch [0499]/[1880] Speed: 171.226169 samples/sec accuracy=75.776562 loss=0.961849 lr=0.000813 Epoch[164] Batch [0549]/[1880] Speed: 199.752530 samples/sec accuracy=75.768466 loss=0.961591 lr=0.000812 Epoch[164] Batch [0599]/[1880] Speed: 170.755726 samples/sec accuracy=75.791667 loss=0.961350 lr=0.000810 Epoch[164] Batch [0649]/[1880] Speed: 198.117505 samples/sec accuracy=75.889423 loss=0.957015 lr=0.000809 Epoch[164] Batch [0699]/[1880] Speed: 188.331269 samples/sec accuracy=75.848214 loss=0.957336 lr=0.000808 Epoch[164] Batch [0749]/[1880] Speed: 176.859962 samples/sec accuracy=75.839583 loss=0.957076 lr=0.000806 Epoch[164] Batch [0799]/[1880] Speed: 190.387737 samples/sec accuracy=75.839844 loss=0.955897 lr=0.000805 Epoch[164] Batch [0849]/[1880] Speed: 183.797688 samples/sec accuracy=75.843750 loss=0.956237 lr=0.000804 Epoch[164] Batch [0899]/[1880] Speed: 196.835950 samples/sec accuracy=75.866319 loss=0.955636 lr=0.000802 Epoch[164] Batch [0949]/[1880] Speed: 173.756598 samples/sec accuracy=75.866776 loss=0.955620 lr=0.000801 Epoch[164] Batch [0999]/[1880] Speed: 197.279754 samples/sec accuracy=75.799219 loss=0.957948 lr=0.000800 Epoch[164] Batch [1049]/[1880] Speed: 174.953472 samples/sec accuracy=75.823661 loss=0.956773 lr=0.000798 Epoch[164] Batch [1099]/[1880] Speed: 201.626093 samples/sec accuracy=75.792614 loss=0.957294 lr=0.000797 Epoch[164] Batch [1149]/[1880] Speed: 177.641908 samples/sec accuracy=75.819293 loss=0.956652 lr=0.000796 Epoch[164] Batch [1199]/[1880] Speed: 185.043221 samples/sec accuracy=75.784505 loss=0.957142 lr=0.000795 Epoch[164] Batch [1249]/[1880] Speed: 180.542298 samples/sec accuracy=75.791875 loss=0.957458 lr=0.000793 Epoch[164] Batch [1299]/[1880] Speed: 197.384373 samples/sec accuracy=75.781851 loss=0.956780 lr=0.000792 Epoch[164] Batch [1349]/[1880] Speed: 178.872407 samples/sec accuracy=75.796875 loss=0.956360 lr=0.000791 Epoch[164] Batch [1399]/[1880] Speed: 187.402158 samples/sec accuracy=75.791295 loss=0.956262 lr=0.000789 Epoch[164] Batch [1449]/[1880] Speed: 186.462319 samples/sec accuracy=75.807112 loss=0.955848 lr=0.000788 Epoch[164] Batch [1499]/[1880] Speed: 194.637521 samples/sec accuracy=75.815104 loss=0.955114 lr=0.000787 Epoch[164] Batch [1549]/[1880] Speed: 166.812831 samples/sec accuracy=75.821573 loss=0.955143 lr=0.000785 Epoch[164] Batch [1599]/[1880] Speed: 201.570660 samples/sec accuracy=75.827637 loss=0.954655 lr=0.000784 Epoch[164] Batch [1649]/[1880] Speed: 182.620220 samples/sec accuracy=75.843750 loss=0.954688 lr=0.000783 Epoch[164] Batch [1699]/[1880] Speed: 180.710227 samples/sec accuracy=75.821691 loss=0.955074 lr=0.000781 Epoch[164] Batch [1749]/[1880] Speed: 203.289160 samples/sec accuracy=75.802232 loss=0.955589 lr=0.000780 Epoch[164] Batch [1799]/[1880] Speed: 170.828734 samples/sec accuracy=75.773872 loss=0.956517 lr=0.000779 Epoch[164] Batch [1849]/[1880] Speed: 189.329315 samples/sec accuracy=75.746199 loss=0.957486 lr=0.000778 Batch [0049]/[0151]: acc-top1=49.281250 acc-top5=73.453125 Batch [0099]/[0151]: acc-top1=52.867188 acc-top5=75.515625 Batch [0149]/[0151]: acc-top1=52.031250 acc-top5=75.151042 [Epoch 164] training: accuracy=75.750499 loss=0.957733 [Epoch 164] speed: 184 samples/sec time cost: 1417.595199 [Epoch 164] validation: acc-top1=51.986755 acc-top5=75.103477 loss=2.283399 Epoch[165] Batch [0049]/[1880] Speed: 134.329954 samples/sec accuracy=76.093750 loss=0.934675 lr=0.000775 Epoch[165] Batch [0099]/[1880] Speed: 185.685481 samples/sec accuracy=76.093750 loss=0.941365 lr=0.000774 Epoch[165] Batch [0149]/[1880] Speed: 199.484534 samples/sec accuracy=76.078125 loss=0.941312 lr=0.000773 Epoch[165] Batch [0199]/[1880] Speed: 159.241346 samples/sec accuracy=75.949219 loss=0.944105 lr=0.000772 Epoch[165] Batch [0249]/[1880] Speed: 205.761036 samples/sec accuracy=75.900000 loss=0.950942 lr=0.000770 Epoch[165] Batch [0299]/[1880] Speed: 192.058482 samples/sec accuracy=75.953125 loss=0.948073 lr=0.000769 Epoch[165] Batch [0349]/[1880] Speed: 183.539900 samples/sec accuracy=75.910714 loss=0.951972 lr=0.000768 Epoch[165] Batch [0399]/[1880] Speed: 177.214429 samples/sec accuracy=76.025391 loss=0.944642 lr=0.000766 Epoch[165] Batch [0449]/[1880] Speed: 198.060174 samples/sec accuracy=75.991319 loss=0.947461 lr=0.000765 Epoch[165] Batch [0499]/[1880] Speed: 185.768789 samples/sec accuracy=76.075000 loss=0.945057 lr=0.000764 Epoch[165] Batch [0549]/[1880] Speed: 187.613796 samples/sec accuracy=76.026989 loss=0.945477 lr=0.000763 Epoch[165] Batch [0599]/[1880] Speed: 192.069456 samples/sec accuracy=76.054688 loss=0.944350 lr=0.000761 Epoch[165] Batch [0649]/[1880] Speed: 174.121729 samples/sec accuracy=76.001202 loss=0.946223 lr=0.000760 Epoch[165] Batch [0699]/[1880] Speed: 199.536884 samples/sec accuracy=76.023438 loss=0.945011 lr=0.000759 Epoch[165] Batch [0749]/[1880] Speed: 173.821695 samples/sec accuracy=76.019792 loss=0.945327 lr=0.000757 Epoch[165] Batch [0799]/[1880] Speed: 200.391247 samples/sec accuracy=76.024414 loss=0.945821 lr=0.000756 Epoch[165] Batch [0849]/[1880] Speed: 171.733893 samples/sec accuracy=76.024816 loss=0.946143 lr=0.000755 Epoch[165] Batch [0899]/[1880] Speed: 190.366235 samples/sec accuracy=76.025174 loss=0.945925 lr=0.000754 Epoch[165] Batch [0949]/[1880] Speed: 187.576958 samples/sec accuracy=76.046053 loss=0.945813 lr=0.000752 Epoch[165] Batch [0999]/[1880] Speed: 203.320970 samples/sec accuracy=76.055469 loss=0.945413 lr=0.000751 Epoch[165] Batch [1049]/[1880] Speed: 161.426310 samples/sec accuracy=76.014137 loss=0.947142 lr=0.000750 Epoch[165] Batch [1099]/[1880] Speed: 206.572512 samples/sec accuracy=76.033381 loss=0.947036 lr=0.000748 Epoch[165] Batch [1149]/[1880] Speed: 187.472075 samples/sec accuracy=76.035326 loss=0.947304 lr=0.000747 Epoch[165] Batch [1199]/[1880] Speed: 178.341702 samples/sec accuracy=76.029297 loss=0.948303 lr=0.000746 Epoch[165] Batch [1249]/[1880] Speed: 199.660227 samples/sec accuracy=76.039375 loss=0.948383 lr=0.000745 Epoch[165] Batch [1299]/[1880] Speed: 161.513861 samples/sec accuracy=76.030048 loss=0.948828 lr=0.000743 Epoch[165] Batch [1349]/[1880] Speed: 208.269972 samples/sec accuracy=76.019097 loss=0.948872 lr=0.000742 Epoch[165] Batch [1399]/[1880] Speed: 173.449556 samples/sec accuracy=75.978795 loss=0.950015 lr=0.000741 Epoch[165] Batch [1449]/[1880] Speed: 192.410874 samples/sec accuracy=75.948815 loss=0.950968 lr=0.000739 Epoch[165] Batch [1499]/[1880] Speed: 196.125496 samples/sec accuracy=75.927083 loss=0.951407 lr=0.000738 Epoch[165] Batch [1549]/[1880] Speed: 168.242324 samples/sec accuracy=75.917339 loss=0.952285 lr=0.000737 Epoch[165] Batch [1599]/[1880] Speed: 203.547647 samples/sec accuracy=75.910156 loss=0.952728 lr=0.000736 Epoch[165] Batch [1649]/[1880] Speed: 178.037698 samples/sec accuracy=75.931818 loss=0.951990 lr=0.000734 Epoch[165] Batch [1699]/[1880] Speed: 173.669569 samples/sec accuracy=75.920496 loss=0.951895 lr=0.000733 Epoch[165] Batch [1749]/[1880] Speed: 203.645178 samples/sec accuracy=75.904018 loss=0.952393 lr=0.000732 Epoch[165] Batch [1799]/[1880] Speed: 180.913324 samples/sec accuracy=75.905816 loss=0.952346 lr=0.000731 Epoch[165] Batch [1849]/[1880] Speed: 181.901056 samples/sec accuracy=75.896959 loss=0.952413 lr=0.000729 Batch [0049]/[0151]: acc-top1=49.250000 acc-top5=73.734375 Batch [0099]/[0151]: acc-top1=53.242188 acc-top5=75.867188 Batch [0149]/[0151]: acc-top1=52.317708 acc-top5=75.463542 [Epoch 165] training: accuracy=75.899269 loss=0.952652 [Epoch 165] speed: 184 samples/sec time cost: 1417.339354 [Epoch 165] validation: acc-top1=52.240273 acc-top5=75.398386 loss=2.236638 Epoch[166] Batch [0049]/[1880] Speed: 132.711834 samples/sec accuracy=75.906250 loss=0.944028 lr=0.000727 Epoch[166] Batch [0099]/[1880] Speed: 200.104601 samples/sec accuracy=76.375000 loss=0.925314 lr=0.000726 Epoch[166] Batch [0149]/[1880] Speed: 168.029718 samples/sec accuracy=76.380208 loss=0.924657 lr=0.000725 Epoch[166] Batch [0199]/[1880] Speed: 202.565734 samples/sec accuracy=76.296875 loss=0.933324 lr=0.000724 Epoch[166] Batch [0249]/[1880] Speed: 186.371236 samples/sec accuracy=76.246875 loss=0.933571 lr=0.000722 Epoch[166] Batch [0299]/[1880] Speed: 183.105642 samples/sec accuracy=76.213542 loss=0.932540 lr=0.000721 Epoch[166] Batch [0349]/[1880] Speed: 179.930362 samples/sec accuracy=76.274554 loss=0.929223 lr=0.000720 Epoch[166] Batch [0399]/[1880] Speed: 200.447265 samples/sec accuracy=76.310547 loss=0.925996 lr=0.000718 Epoch[166] Batch [0449]/[1880] Speed: 187.816545 samples/sec accuracy=76.296875 loss=0.925659 lr=0.000717 Epoch[166] Batch [0499]/[1880] Speed: 175.326892 samples/sec accuracy=76.304688 loss=0.926872 lr=0.000716 Epoch[166] Batch [0549]/[1880] Speed: 199.906734 samples/sec accuracy=76.284091 loss=0.928796 lr=0.000715 Epoch[166] Batch [0599]/[1880] Speed: 173.698930 samples/sec accuracy=76.250000 loss=0.930002 lr=0.000713 Epoch[166] Batch [0649]/[1880] Speed: 189.925664 samples/sec accuracy=76.253606 loss=0.930332 lr=0.000712 Epoch[166] Batch [0699]/[1880] Speed: 181.758311 samples/sec accuracy=76.253348 loss=0.930243 lr=0.000711 Epoch[166] Batch [0749]/[1880] Speed: 194.639729 samples/sec accuracy=76.245833 loss=0.932653 lr=0.000710 Epoch[166] Batch [0799]/[1880] Speed: 184.666493 samples/sec accuracy=76.246094 loss=0.933108 lr=0.000708 Epoch[166] Batch [0849]/[1880] Speed: 184.004847 samples/sec accuracy=76.251838 loss=0.933098 lr=0.000707 Epoch[166] Batch [0899]/[1880] Speed: 183.635641 samples/sec accuracy=76.309028 loss=0.931777 lr=0.000706 Epoch[166] Batch [0949]/[1880] Speed: 187.424229 samples/sec accuracy=76.258224 loss=0.933590 lr=0.000705 Epoch[166] Batch [0999]/[1880] Speed: 180.416784 samples/sec accuracy=76.225781 loss=0.934996 lr=0.000703 Epoch[166] Batch [1049]/[1880] Speed: 182.724918 samples/sec accuracy=76.217262 loss=0.935185 lr=0.000702 Epoch[166] Batch [1099]/[1880] Speed: 198.330155 samples/sec accuracy=76.197443 loss=0.935886 lr=0.000701 Epoch[166] Batch [1149]/[1880] Speed: 196.053258 samples/sec accuracy=76.207201 loss=0.935875 lr=0.000700 Epoch[166] Batch [1199]/[1880] Speed: 159.353576 samples/sec accuracy=76.181641 loss=0.936998 lr=0.000699 Epoch[166] Batch [1249]/[1880] Speed: 210.952494 samples/sec accuracy=76.173125 loss=0.936884 lr=0.000697 Epoch[166] Batch [1299]/[1880] Speed: 178.125085 samples/sec accuracy=76.138822 loss=0.937590 lr=0.000696 Epoch[166] Batch [1349]/[1880] Speed: 185.527346 samples/sec accuracy=76.140625 loss=0.937980 lr=0.000695 Epoch[166] Batch [1399]/[1880] Speed: 194.430314 samples/sec accuracy=76.097656 loss=0.939261 lr=0.000694 Epoch[166] Batch [1449]/[1880] Speed: 181.958774 samples/sec accuracy=76.079203 loss=0.939887 lr=0.000692 Epoch[166] Batch [1499]/[1880] Speed: 182.071201 samples/sec accuracy=76.098438 loss=0.939038 lr=0.000691 Epoch[166] Batch [1549]/[1880] Speed: 188.461210 samples/sec accuracy=76.100806 loss=0.938712 lr=0.000690 Epoch[166] Batch [1599]/[1880] Speed: 185.483171 samples/sec accuracy=76.079590 loss=0.939678 lr=0.000689 Epoch[166] Batch [1649]/[1880] Speed: 179.278950 samples/sec accuracy=76.089489 loss=0.939336 lr=0.000687 Epoch[166] Batch [1699]/[1880] Speed: 185.367027 samples/sec accuracy=76.087316 loss=0.939603 lr=0.000686 Epoch[166] Batch [1749]/[1880] Speed: 201.761979 samples/sec accuracy=76.078571 loss=0.940067 lr=0.000685 Epoch[166] Batch [1799]/[1880] Speed: 175.910904 samples/sec accuracy=76.101997 loss=0.938627 lr=0.000684 Epoch[166] Batch [1849]/[1880] Speed: 179.365028 samples/sec accuracy=76.101351 loss=0.938907 lr=0.000683 Batch [0049]/[0151]: acc-top1=49.250000 acc-top5=73.218750 Batch [0099]/[0151]: acc-top1=53.078125 acc-top5=75.437500 Batch [0149]/[0151]: acc-top1=52.291667 acc-top5=75.083333 [Epoch 166] training: accuracy=76.094581 loss=0.939498 [Epoch 166] speed: 184 samples/sec time cost: 1415.807632 [Epoch 166] validation: acc-top1=52.250621 acc-top5=75.041391 loss=2.266172 Epoch[167] Batch [0049]/[1880] Speed: 138.225384 samples/sec accuracy=76.531250 loss=0.923066 lr=0.000681 Epoch[167] Batch [0099]/[1880] Speed: 181.277699 samples/sec accuracy=76.164062 loss=0.944329 lr=0.000679 Epoch[167] Batch [0149]/[1880] Speed: 181.009600 samples/sec accuracy=76.312500 loss=0.944538 lr=0.000678 Epoch[167] Batch [0199]/[1880] Speed: 206.622596 samples/sec accuracy=75.996094 loss=0.950758 lr=0.000677 Epoch[167] Batch [0249]/[1880] Speed: 167.082740 samples/sec accuracy=76.043750 loss=0.950074 lr=0.000676 Epoch[167] Batch [0299]/[1880] Speed: 201.607619 samples/sec accuracy=75.981771 loss=0.947358 lr=0.000674 Epoch[167] Batch [0349]/[1880] Speed: 185.723845 samples/sec accuracy=76.122768 loss=0.942241 lr=0.000673 Epoch[167] Batch [0399]/[1880] Speed: 182.973151 samples/sec accuracy=76.138672 loss=0.943745 lr=0.000672 Epoch[167] Batch [0449]/[1880] Speed: 195.675046 samples/sec accuracy=76.088542 loss=0.944363 lr=0.000671 Epoch[167] Batch [0499]/[1880] Speed: 172.424146 samples/sec accuracy=76.134375 loss=0.942913 lr=0.000670 Epoch[167] Batch [0549]/[1880] Speed: 194.633233 samples/sec accuracy=76.207386 loss=0.940882 lr=0.000668 Epoch[167] Batch [0599]/[1880] Speed: 172.102709 samples/sec accuracy=76.238281 loss=0.939152 lr=0.000667 Epoch[167] Batch [0649]/[1880] Speed: 195.272551 samples/sec accuracy=76.223558 loss=0.937118 lr=0.000666 Epoch[167] Batch [0699]/[1880] Speed: 203.048869 samples/sec accuracy=76.185268 loss=0.938583 lr=0.000665 Epoch[167] Batch [0749]/[1880] Speed: 165.629509 samples/sec accuracy=76.193750 loss=0.936810 lr=0.000664 Epoch[167] Batch [0799]/[1880] Speed: 200.032114 samples/sec accuracy=76.208984 loss=0.936796 lr=0.000662 Epoch[167] Batch [0849]/[1880] Speed: 182.716010 samples/sec accuracy=76.268382 loss=0.934261 lr=0.000661 Epoch[167] Batch [0899]/[1880] Speed: 181.529098 samples/sec accuracy=76.269965 loss=0.933672 lr=0.000660 Epoch[167] Batch [0949]/[1880] Speed: 194.352142 samples/sec accuracy=76.318257 loss=0.931177 lr=0.000659 Epoch[167] Batch [0999]/[1880] Speed: 171.203045 samples/sec accuracy=76.300000 loss=0.931214 lr=0.000657 Epoch[167] Batch [1049]/[1880] Speed: 198.944534 samples/sec accuracy=76.290179 loss=0.931983 lr=0.000656 Epoch[167] Batch [1099]/[1880] Speed: 165.637829 samples/sec accuracy=76.336648 loss=0.930805 lr=0.000655 Epoch[167] Batch [1149]/[1880] Speed: 198.624441 samples/sec accuracy=76.305707 loss=0.931334 lr=0.000654 Epoch[167] Batch [1199]/[1880] Speed: 196.432840 samples/sec accuracy=76.284505 loss=0.932054 lr=0.000653 Epoch[167] Batch [1249]/[1880] Speed: 165.268790 samples/sec accuracy=76.281875 loss=0.931994 lr=0.000651 Epoch[167] Batch [1299]/[1880] Speed: 206.358161 samples/sec accuracy=76.261418 loss=0.933573 lr=0.000650 Epoch[167] Batch [1349]/[1880] Speed: 189.690491 samples/sec accuracy=76.236690 loss=0.934699 lr=0.000649 Epoch[167] Batch [1399]/[1880] Speed: 175.029015 samples/sec accuracy=76.208705 loss=0.936097 lr=0.000648 Epoch[167] Batch [1449]/[1880] Speed: 196.635821 samples/sec accuracy=76.235453 loss=0.935894 lr=0.000647 Epoch[167] Batch [1499]/[1880] Speed: 183.038883 samples/sec accuracy=76.266667 loss=0.935598 lr=0.000645 Epoch[167] Batch [1549]/[1880] Speed: 182.300504 samples/sec accuracy=76.289315 loss=0.934999 lr=0.000644 Epoch[167] Batch [1599]/[1880] Speed: 201.351575 samples/sec accuracy=76.286621 loss=0.934622 lr=0.000643 Epoch[167] Batch [1649]/[1880] Speed: 172.132525 samples/sec accuracy=76.276042 loss=0.935920 lr=0.000642 Epoch[167] Batch [1699]/[1880] Speed: 192.031964 samples/sec accuracy=76.261489 loss=0.935778 lr=0.000641 Epoch[167] Batch [1749]/[1880] Speed: 187.024520 samples/sec accuracy=76.256696 loss=0.936132 lr=0.000640 Epoch[167] Batch [1799]/[1880] Speed: 180.626912 samples/sec accuracy=76.231771 loss=0.936676 lr=0.000638 Epoch[167] Batch [1849]/[1880] Speed: 191.266657 samples/sec accuracy=76.226774 loss=0.935994 lr=0.000637 Batch [0049]/[0151]: acc-top1=48.968750 acc-top5=73.468750 Batch [0099]/[0151]: acc-top1=52.617187 acc-top5=75.328125 Batch [0149]/[0151]: acc-top1=51.901042 acc-top5=74.989583 [Epoch 167] training: accuracy=76.220495 loss=0.936340 [Epoch 167] speed: 184 samples/sec time cost: 1416.129636 [Epoch 167] validation: acc-top1=51.847061 acc-top5=74.953435 loss=2.271078 Epoch[168] Batch [0049]/[1879] Speed: 130.058808 samples/sec accuracy=76.015625 loss=0.945179 lr=0.000635 Epoch[168] Batch [0099]/[1879] Speed: 201.079846 samples/sec accuracy=76.460938 loss=0.930327 lr=0.000634 Epoch[168] Batch [0149]/[1879] Speed: 188.152479 samples/sec accuracy=76.484375 loss=0.926825 lr=0.000633 Epoch[168] Batch [0199]/[1879] Speed: 178.154373 samples/sec accuracy=76.574219 loss=0.926732 lr=0.000632 Epoch[168] Batch [0249]/[1879] Speed: 186.163057 samples/sec accuracy=76.571875 loss=0.925849 lr=0.000631 Epoch[168] Batch [0299]/[1879] Speed: 191.867704 samples/sec accuracy=76.611979 loss=0.925139 lr=0.000629 Epoch[168] Batch [0349]/[1879] Speed: 184.687538 samples/sec accuracy=76.611607 loss=0.927071 lr=0.000628 Epoch[168] Batch [0399]/[1879] Speed: 189.174300 samples/sec accuracy=76.609375 loss=0.926835 lr=0.000627 Epoch[168] Batch [0449]/[1879] Speed: 179.828194 samples/sec accuracy=76.583333 loss=0.925769 lr=0.000626 Epoch[168] Batch [0499]/[1879] Speed: 179.746291 samples/sec accuracy=76.545312 loss=0.927292 lr=0.000625 Epoch[168] Batch [0549]/[1879] Speed: 195.600119 samples/sec accuracy=76.566761 loss=0.925040 lr=0.000623 Epoch[168] Batch [0599]/[1879] Speed: 174.232932 samples/sec accuracy=76.565104 loss=0.926374 lr=0.000622 Epoch[168] Batch [0649]/[1879] Speed: 194.036531 samples/sec accuracy=76.537260 loss=0.926036 lr=0.000621 Epoch[168] Batch [0699]/[1879] Speed: 192.202622 samples/sec accuracy=76.510045 loss=0.927611 lr=0.000620 Epoch[168] Batch [0749]/[1879] Speed: 175.663033 samples/sec accuracy=76.512500 loss=0.926298 lr=0.000619 Epoch[168] Batch [0799]/[1879] Speed: 191.298777 samples/sec accuracy=76.523438 loss=0.925997 lr=0.000618 Epoch[168] Batch [0849]/[1879] Speed: 186.419531 samples/sec accuracy=76.540441 loss=0.925772 lr=0.000616 Epoch[168] Batch [0899]/[1879] Speed: 185.267463 samples/sec accuracy=76.521701 loss=0.926494 lr=0.000615 Epoch[168] Batch [0949]/[1879] Speed: 184.474912 samples/sec accuracy=76.525493 loss=0.925536 lr=0.000614 Epoch[168] Batch [0999]/[1879] Speed: 181.953374 samples/sec accuracy=76.507812 loss=0.926543 lr=0.000613 Epoch[168] Batch [1049]/[1879] Speed: 197.829567 samples/sec accuracy=76.478423 loss=0.927072 lr=0.000612 Epoch[168] Batch [1099]/[1879] Speed: 188.204463 samples/sec accuracy=76.526278 loss=0.925351 lr=0.000611 Epoch[168] Batch [1149]/[1879] Speed: 177.927006 samples/sec accuracy=76.489810 loss=0.926380 lr=0.000609 Epoch[168] Batch [1199]/[1879] Speed: 183.324715 samples/sec accuracy=76.462891 loss=0.927087 lr=0.000608 Epoch[168] Batch [1249]/[1879] Speed: 203.265743 samples/sec accuracy=76.471875 loss=0.926805 lr=0.000607 Epoch[168] Batch [1299]/[1879] Speed: 172.952606 samples/sec accuracy=76.459135 loss=0.927582 lr=0.000606 Epoch[168] Batch [1349]/[1879] Speed: 193.143957 samples/sec accuracy=76.435764 loss=0.928679 lr=0.000605 Epoch[168] Batch [1399]/[1879] Speed: 191.115698 samples/sec accuracy=76.422433 loss=0.928887 lr=0.000604 Epoch[168] Batch [1449]/[1879] Speed: 167.526033 samples/sec accuracy=76.438039 loss=0.928907 lr=0.000602 Epoch[168] Batch [1499]/[1879] Speed: 202.544970 samples/sec accuracy=76.416146 loss=0.929068 lr=0.000601 Epoch[168] Batch [1549]/[1879] Speed: 176.831875 samples/sec accuracy=76.415323 loss=0.928468 lr=0.000600 Epoch[168] Batch [1599]/[1879] Speed: 189.442839 samples/sec accuracy=76.407715 loss=0.929341 lr=0.000599 Epoch[168] Batch [1649]/[1879] Speed: 198.294993 samples/sec accuracy=76.384943 loss=0.930214 lr=0.000598 Epoch[168] Batch [1699]/[1879] Speed: 168.018021 samples/sec accuracy=76.394761 loss=0.929526 lr=0.000597 Epoch[168] Batch [1749]/[1879] Speed: 188.384768 samples/sec accuracy=76.391518 loss=0.929323 lr=0.000596 Epoch[168] Batch [1799]/[1879] Speed: 197.719383 samples/sec accuracy=76.395399 loss=0.929244 lr=0.000594 Epoch[168] Batch [1849]/[1879] Speed: 169.549388 samples/sec accuracy=76.379223 loss=0.929598 lr=0.000593 Batch [0049]/[0151]: acc-top1=49.609375 acc-top5=74.046875 Batch [0099]/[0151]: acc-top1=53.148438 acc-top5=75.890625 Batch [0149]/[0151]: acc-top1=52.567708 acc-top5=75.541667 [Epoch 168] training: accuracy=76.375399 loss=0.929493 [Epoch 168] speed: 184 samples/sec time cost: 1416.586117 [Epoch 168] validation: acc-top1=52.509313 acc-top5=75.475993 loss=2.259063 Epoch[169] Batch [0049]/[1880] Speed: 131.584978 samples/sec accuracy=76.593750 loss=0.929468 lr=0.000591 Epoch[169] Batch [0099]/[1880] Speed: 204.528842 samples/sec accuracy=76.523438 loss=0.922174 lr=0.000590 Epoch[169] Batch [0149]/[1880] Speed: 176.575319 samples/sec accuracy=76.421875 loss=0.924728 lr=0.000589 Epoch[169] Batch [0199]/[1880] Speed: 183.580896 samples/sec accuracy=76.433594 loss=0.924101 lr=0.000588 Epoch[169] Batch [0249]/[1880] Speed: 198.821844 samples/sec accuracy=76.378125 loss=0.926834 lr=0.000587 Epoch[169] Batch [0299]/[1880] Speed: 172.912031 samples/sec accuracy=76.338542 loss=0.927582 lr=0.000586 Epoch[169] Batch [0349]/[1880] Speed: 200.158894 samples/sec accuracy=76.341518 loss=0.924326 lr=0.000585 Epoch[169] Batch [0399]/[1880] Speed: 177.582643 samples/sec accuracy=76.464844 loss=0.922846 lr=0.000583 Epoch[169] Batch [0449]/[1880] Speed: 189.732515 samples/sec accuracy=76.460069 loss=0.922930 lr=0.000582 Epoch[169] Batch [0499]/[1880] Speed: 189.619460 samples/sec accuracy=76.429688 loss=0.924579 lr=0.000581 Epoch[169] Batch [0549]/[1880] Speed: 179.541709 samples/sec accuracy=76.438920 loss=0.925123 lr=0.000580 Epoch[169] Batch [0599]/[1880] Speed: 187.341974 samples/sec accuracy=76.493490 loss=0.922969 lr=0.000579 Epoch[169] Batch [0649]/[1880] Speed: 192.364346 samples/sec accuracy=76.455529 loss=0.921685 lr=0.000578 Epoch[169] Batch [0699]/[1880] Speed: 178.997911 samples/sec accuracy=76.558036 loss=0.918247 lr=0.000577 Epoch[169] Batch [0749]/[1880] Speed: 200.395105 samples/sec accuracy=76.628125 loss=0.917663 lr=0.000575 Epoch[169] Batch [0799]/[1880] Speed: 173.929828 samples/sec accuracy=76.597656 loss=0.920072 lr=0.000574 Epoch[169] Batch [0849]/[1880] Speed: 189.797951 samples/sec accuracy=76.550551 loss=0.922316 lr=0.000573 Epoch[169] Batch [0899]/[1880] Speed: 181.392730 samples/sec accuracy=76.490451 loss=0.924404 lr=0.000572 Epoch[169] Batch [0949]/[1880] Speed: 196.096992 samples/sec accuracy=76.498355 loss=0.924971 lr=0.000571 Epoch[169] Batch [0999]/[1880] Speed: 176.692408 samples/sec accuracy=76.525781 loss=0.924508 lr=0.000570 Epoch[169] Batch [1049]/[1880] Speed: 193.631178 samples/sec accuracy=76.523810 loss=0.923281 lr=0.000569 Epoch[169] Batch [1099]/[1880] Speed: 177.140182 samples/sec accuracy=76.558949 loss=0.921408 lr=0.000568 Epoch[169] Batch [1149]/[1880] Speed: 200.239562 samples/sec accuracy=76.559783 loss=0.921062 lr=0.000566 Epoch[169] Batch [1199]/[1880] Speed: 193.858416 samples/sec accuracy=76.597005 loss=0.920015 lr=0.000565 Epoch[169] Batch [1249]/[1880] Speed: 176.333128 samples/sec accuracy=76.614375 loss=0.920125 lr=0.000564 Epoch[169] Batch [1299]/[1880] Speed: 192.840715 samples/sec accuracy=76.605769 loss=0.920137 lr=0.000563 Epoch[169] Batch [1349]/[1880] Speed: 178.151577 samples/sec accuracy=76.593171 loss=0.920417 lr=0.000562 Epoch[169] Batch [1399]/[1880] Speed: 185.283346 samples/sec accuracy=76.582589 loss=0.920135 lr=0.000561 Epoch[169] Batch [1449]/[1880] Speed: 186.392151 samples/sec accuracy=76.569504 loss=0.920040 lr=0.000560 Epoch[169] Batch [1499]/[1880] Speed: 182.969624 samples/sec accuracy=76.563021 loss=0.920303 lr=0.000559 Epoch[169] Batch [1549]/[1880] Speed: 178.181347 samples/sec accuracy=76.577117 loss=0.919809 lr=0.000558 Epoch[169] Batch [1599]/[1880] Speed: 195.473810 samples/sec accuracy=76.570312 loss=0.920572 lr=0.000556 Epoch[169] Batch [1649]/[1880] Speed: 187.094247 samples/sec accuracy=76.554451 loss=0.920746 lr=0.000555 Epoch[169] Batch [1699]/[1880] Speed: 175.211835 samples/sec accuracy=76.556526 loss=0.920310 lr=0.000554 Epoch[169] Batch [1749]/[1880] Speed: 206.828992 samples/sec accuracy=76.549107 loss=0.920486 lr=0.000553 Epoch[169] Batch [1799]/[1880] Speed: 172.645268 samples/sec accuracy=76.530816 loss=0.921114 lr=0.000552 Epoch[169] Batch [1849]/[1880] Speed: 190.705077 samples/sec accuracy=76.540118 loss=0.921095 lr=0.000551 Batch [0049]/[0151]: acc-top1=49.203125 acc-top5=73.468750 Batch [0099]/[0151]: acc-top1=52.781250 acc-top5=75.640625 Batch [0149]/[0151]: acc-top1=52.197917 acc-top5=75.447917 [Epoch 169] training: accuracy=76.550449 loss=0.920471 [Epoch 169] speed: 185 samples/sec time cost: 1414.001741 [Epoch 169] validation: acc-top1=52.147144 acc-top5=75.393212 loss=2.285438 Epoch[170] Batch [0049]/[1880] Speed: 136.187561 samples/sec accuracy=77.765625 loss=0.864573 lr=0.000549 Epoch[170] Batch [0099]/[1880] Speed: 181.156338 samples/sec accuracy=77.062500 loss=0.890977 lr=0.000548 Epoch[170] Batch [0149]/[1880] Speed: 199.013032 samples/sec accuracy=76.973958 loss=0.897120 lr=0.000547 Epoch[170] Batch [0199]/[1880] Speed: 192.380726 samples/sec accuracy=77.085938 loss=0.896259 lr=0.000546 Epoch[170] Batch [0249]/[1880] Speed: 164.529587 samples/sec accuracy=77.106250 loss=0.893845 lr=0.000545 Epoch[170] Batch [0299]/[1880] Speed: 207.937790 samples/sec accuracy=77.093750 loss=0.896483 lr=0.000544 Epoch[170] Batch [0349]/[1880] Speed: 176.561082 samples/sec accuracy=76.964286 loss=0.903447 lr=0.000542 Epoch[170] Batch [0399]/[1880] Speed: 187.159041 samples/sec accuracy=76.898438 loss=0.905939 lr=0.000541 Epoch[170] Batch [0449]/[1880] Speed: 197.463728 samples/sec accuracy=76.869792 loss=0.908089 lr=0.000540 Epoch[170] Batch [0499]/[1880] Speed: 180.448870 samples/sec accuracy=76.859375 loss=0.908724 lr=0.000539 Epoch[170] Batch [0549]/[1880] Speed: 193.144400 samples/sec accuracy=76.890625 loss=0.908136 lr=0.000538 Epoch[170] Batch [0599]/[1880] Speed: 170.980727 samples/sec accuracy=76.871094 loss=0.908624 lr=0.000537 Epoch[170] Batch [0649]/[1880] Speed: 202.145677 samples/sec accuracy=76.878606 loss=0.907864 lr=0.000536 Epoch[170] Batch [0699]/[1880] Speed: 184.500427 samples/sec accuracy=76.890625 loss=0.906630 lr=0.000535 Epoch[170] Batch [0749]/[1880] Speed: 184.838115 samples/sec accuracy=76.819792 loss=0.909852 lr=0.000534 Epoch[170] Batch [0799]/[1880] Speed: 184.651190 samples/sec accuracy=76.830078 loss=0.911101 lr=0.000533 Epoch[170] Batch [0849]/[1880] Speed: 179.961022 samples/sec accuracy=76.883272 loss=0.907663 lr=0.000531 Epoch[170] Batch [0899]/[1880] Speed: 183.782353 samples/sec accuracy=76.919271 loss=0.907299 lr=0.000530 Epoch[170] Batch [0949]/[1880] Speed: 206.786582 samples/sec accuracy=76.891447 loss=0.908637 lr=0.000529 Epoch[170] Batch [0999]/[1880] Speed: 171.593902 samples/sec accuracy=76.863281 loss=0.909832 lr=0.000528 Epoch[170] Batch [1049]/[1880] Speed: 193.980394 samples/sec accuracy=76.885417 loss=0.909716 lr=0.000527 Epoch[170] Batch [1099]/[1880] Speed: 173.272601 samples/sec accuracy=76.836648 loss=0.911055 lr=0.000526 Epoch[170] Batch [1149]/[1880] Speed: 192.484371 samples/sec accuracy=76.826087 loss=0.911008 lr=0.000525 Epoch[170] Batch [1199]/[1880] Speed: 183.088767 samples/sec accuracy=76.801432 loss=0.912076 lr=0.000524 Epoch[170] Batch [1249]/[1880] Speed: 191.821552 samples/sec accuracy=76.801875 loss=0.911461 lr=0.000523 Epoch[170] Batch [1299]/[1880] Speed: 178.073250 samples/sec accuracy=76.827524 loss=0.910425 lr=0.000522 Epoch[170] Batch [1349]/[1880] Speed: 193.730883 samples/sec accuracy=76.834491 loss=0.910025 lr=0.000521 Epoch[170] Batch [1399]/[1880] Speed: 187.342395 samples/sec accuracy=76.802455 loss=0.910860 lr=0.000520 Epoch[170] Batch [1449]/[1880] Speed: 175.819128 samples/sec accuracy=76.827586 loss=0.909577 lr=0.000518 Epoch[170] Batch [1499]/[1880] Speed: 199.423967 samples/sec accuracy=76.838542 loss=0.908988 lr=0.000517 Epoch[170] Batch [1549]/[1880] Speed: 190.397678 samples/sec accuracy=76.805444 loss=0.909741 lr=0.000516 Epoch[170] Batch [1599]/[1880] Speed: 174.392997 samples/sec accuracy=76.799316 loss=0.910190 lr=0.000515 Epoch[170] Batch [1649]/[1880] Speed: 200.972133 samples/sec accuracy=76.817708 loss=0.909223 lr=0.000514 Epoch[170] Batch [1699]/[1880] Speed: 179.258069 samples/sec accuracy=76.783548 loss=0.910433 lr=0.000513 Epoch[170] Batch [1749]/[1880] Speed: 183.287421 samples/sec accuracy=76.798661 loss=0.909925 lr=0.000512 Epoch[170] Batch [1799]/[1880] Speed: 190.944013 samples/sec accuracy=76.811198 loss=0.909790 lr=0.000511 Epoch[170] Batch [1849]/[1880] Speed: 171.072047 samples/sec accuracy=76.813345 loss=0.909992 lr=0.000510 Batch [0049]/[0151]: acc-top1=49.156250 acc-top5=73.640625 Batch [0099]/[0151]: acc-top1=52.976562 acc-top5=75.554688 Batch [0149]/[0151]: acc-top1=52.229167 acc-top5=75.265625 [Epoch 170] training: accuracy=76.801446 loss=0.910523 [Epoch 170] speed: 185 samples/sec time cost: 1413.980644 [Epoch 170] validation: acc-top1=52.152318 acc-top5=75.212127 loss=2.266200 Epoch[171] Batch [0049]/[1880] Speed: 134.369846 samples/sec accuracy=77.234375 loss=0.889733 lr=0.000508 Epoch[171] Batch [0099]/[1880] Speed: 188.739576 samples/sec accuracy=77.000000 loss=0.904067 lr=0.000507 Epoch[171] Batch [0149]/[1880] Speed: 198.287895 samples/sec accuracy=76.786458 loss=0.908876 lr=0.000506 Epoch[171] Batch [0199]/[1880] Speed: 178.289685 samples/sec accuracy=76.824219 loss=0.906743 lr=0.000505 Epoch[171] Batch [0249]/[1880] Speed: 194.075741 samples/sec accuracy=76.759375 loss=0.910106 lr=0.000504 Epoch[171] Batch [0299]/[1880] Speed: 172.146304 samples/sec accuracy=76.781250 loss=0.907863 lr=0.000503 Epoch[171] Batch [0349]/[1880] Speed: 194.277333 samples/sec accuracy=76.819196 loss=0.909363 lr=0.000502 Epoch[171] Batch [0399]/[1880] Speed: 171.876157 samples/sec accuracy=76.830078 loss=0.907835 lr=0.000501 Epoch[171] Batch [0449]/[1880] Speed: 202.630471 samples/sec accuracy=76.876736 loss=0.907635 lr=0.000500 Epoch[171] Batch [0499]/[1880] Speed: 186.471497 samples/sec accuracy=76.956250 loss=0.905872 lr=0.000499 Epoch[171] Batch [0549]/[1880] Speed: 184.716663 samples/sec accuracy=76.927557 loss=0.906269 lr=0.000498 Epoch[171] Batch [0599]/[1880] Speed: 186.323000 samples/sec accuracy=76.846354 loss=0.907341 lr=0.000496 Epoch[171] Batch [0649]/[1880] Speed: 174.272882 samples/sec accuracy=76.909856 loss=0.904606 lr=0.000495 Epoch[171] Batch [0699]/[1880] Speed: 202.035076 samples/sec accuracy=76.910714 loss=0.906156 lr=0.000494 Epoch[171] Batch [0749]/[1880] Speed: 172.654884 samples/sec accuracy=76.934375 loss=0.905699 lr=0.000493 Epoch[171] Batch [0799]/[1880] Speed: 186.444724 samples/sec accuracy=76.948242 loss=0.906226 lr=0.000492 Epoch[171] Batch [0849]/[1880] Speed: 203.024670 samples/sec accuracy=76.960478 loss=0.906194 lr=0.000491 Epoch[171] Batch [0899]/[1880] Speed: 173.428305 samples/sec accuracy=76.894965 loss=0.908088 lr=0.000490 Epoch[171] Batch [0949]/[1880] Speed: 193.352550 samples/sec accuracy=76.879934 loss=0.907629 lr=0.000489 Epoch[171] Batch [0999]/[1880] Speed: 177.113213 samples/sec accuracy=76.891406 loss=0.908058 lr=0.000488 Epoch[171] Batch [1049]/[1880] Speed: 188.923642 samples/sec accuracy=76.915179 loss=0.906703 lr=0.000487 Epoch[171] Batch [1099]/[1880] Speed: 191.623642 samples/sec accuracy=76.953125 loss=0.905623 lr=0.000486 Epoch[171] Batch [1149]/[1880] Speed: 193.238545 samples/sec accuracy=76.951087 loss=0.906074 lr=0.000485 Epoch[171] Batch [1199]/[1880] Speed: 182.535066 samples/sec accuracy=76.938802 loss=0.906511 lr=0.000484 Epoch[171] Batch [1249]/[1880] Speed: 184.937912 samples/sec accuracy=76.931250 loss=0.906829 lr=0.000483 Epoch[171] Batch [1299]/[1880] Speed: 185.896221 samples/sec accuracy=76.951923 loss=0.905629 lr=0.000482 Epoch[171] Batch [1349]/[1880] Speed: 190.981653 samples/sec accuracy=76.953704 loss=0.905286 lr=0.000481 Epoch[171] Batch [1399]/[1880] Speed: 179.612275 samples/sec accuracy=76.948661 loss=0.905014 lr=0.000480 Epoch[171] Batch [1449]/[1880] Speed: 191.826735 samples/sec accuracy=76.940733 loss=0.905851 lr=0.000479 Epoch[171] Batch [1499]/[1880] Speed: 189.767891 samples/sec accuracy=76.918750 loss=0.907082 lr=0.000478 Epoch[171] Batch [1549]/[1880] Speed: 188.208765 samples/sec accuracy=76.933972 loss=0.906859 lr=0.000477 Epoch[171] Batch [1599]/[1880] Speed: 175.603800 samples/sec accuracy=76.936523 loss=0.906983 lr=0.000476 Epoch[171] Batch [1649]/[1880] Speed: 186.535120 samples/sec accuracy=76.925189 loss=0.906926 lr=0.000475 Epoch[171] Batch [1699]/[1880] Speed: 175.973047 samples/sec accuracy=76.935202 loss=0.906367 lr=0.000474 Epoch[171] Batch [1749]/[1880] Speed: 205.223681 samples/sec accuracy=76.895536 loss=0.908049 lr=0.000472 Epoch[171] Batch [1799]/[1880] Speed: 185.664319 samples/sec accuracy=76.886285 loss=0.908639 lr=0.000471 Epoch[171] Batch [1849]/[1880] Speed: 169.823049 samples/sec accuracy=76.891047 loss=0.908995 lr=0.000470 Batch [0049]/[0151]: acc-top1=49.796875 acc-top5=74.140625 Batch [0099]/[0151]: acc-top1=53.273438 acc-top5=75.906250 Batch [0149]/[0151]: acc-top1=52.692708 acc-top5=75.557292 [Epoch 171] training: accuracy=76.862118 loss=0.910035 [Epoch 171] speed: 185 samples/sec time cost: 1414.506819 [Epoch 171] validation: acc-top1=52.643833 acc-top5=75.507036 loss=2.256039 Epoch[172] Batch [0049]/[1880] Speed: 131.514651 samples/sec accuracy=76.781250 loss=0.903441 lr=0.000469 Epoch[172] Batch [0099]/[1880] Speed: 193.567353 samples/sec accuracy=76.835938 loss=0.898166 lr=0.000468 Epoch[172] Batch [0149]/[1880] Speed: 191.473084 samples/sec accuracy=77.239583 loss=0.888125 lr=0.000467 Epoch[172] Batch [0199]/[1880] Speed: 165.888755 samples/sec accuracy=77.285156 loss=0.890135 lr=0.000466 Epoch[172] Batch [0249]/[1880] Speed: 212.373917 samples/sec accuracy=77.287500 loss=0.889088 lr=0.000465 Epoch[172] Batch [0299]/[1880] Speed: 183.050468 samples/sec accuracy=77.242188 loss=0.888779 lr=0.000464 Epoch[172] Batch [0349]/[1880] Speed: 177.580799 samples/sec accuracy=77.183036 loss=0.890166 lr=0.000463 Epoch[172] Batch [0399]/[1880] Speed: 199.067579 samples/sec accuracy=77.113281 loss=0.893255 lr=0.000462 Epoch[172] Batch [0449]/[1880] Speed: 178.142357 samples/sec accuracy=77.043403 loss=0.897951 lr=0.000461 Epoch[172] Batch [0499]/[1880] Speed: 179.659131 samples/sec accuracy=77.092187 loss=0.897465 lr=0.000460 Epoch[172] Batch [0549]/[1880] Speed: 193.125738 samples/sec accuracy=76.958807 loss=0.900130 lr=0.000459 Epoch[172] Batch [0599]/[1880] Speed: 191.959474 samples/sec accuracy=77.001302 loss=0.900546 lr=0.000458 Epoch[172] Batch [0649]/[1880] Speed: 176.464890 samples/sec accuracy=77.039663 loss=0.899153 lr=0.000457 Epoch[172] Batch [0699]/[1880] Speed: 191.172455 samples/sec accuracy=77.053571 loss=0.900012 lr=0.000456 Epoch[172] Batch [0749]/[1880] Speed: 197.970954 samples/sec accuracy=77.035417 loss=0.900529 lr=0.000455 Epoch[172] Batch [0799]/[1880] Speed: 171.393579 samples/sec accuracy=77.005859 loss=0.901390 lr=0.000453 Epoch[172] Batch [0849]/[1880] Speed: 190.871440 samples/sec accuracy=77.027574 loss=0.901176 lr=0.000452 Epoch[172] Batch [0899]/[1880] Speed: 188.503257 samples/sec accuracy=77.015625 loss=0.901784 lr=0.000451 Epoch[172] Batch [0949]/[1880] Speed: 193.737495 samples/sec accuracy=77.029605 loss=0.901830 lr=0.000450 Epoch[172] Batch [0999]/[1880] Speed: 173.568153 samples/sec accuracy=77.066406 loss=0.901406 lr=0.000449 Epoch[172] Batch [1049]/[1880] Speed: 202.238088 samples/sec accuracy=77.016369 loss=0.903314 lr=0.000448 Epoch[172] Batch [1099]/[1880] Speed: 178.589940 samples/sec accuracy=77.030540 loss=0.902334 lr=0.000447 Epoch[172] Batch [1149]/[1880] Speed: 178.948428 samples/sec accuracy=77.059103 loss=0.902272 lr=0.000446 Epoch[172] Batch [1199]/[1880] Speed: 188.415836 samples/sec accuracy=77.107422 loss=0.901243 lr=0.000445 Epoch[172] Batch [1249]/[1880] Speed: 198.233746 samples/sec accuracy=77.116875 loss=0.900264 lr=0.000444 Epoch[172] Batch [1299]/[1880] Speed: 184.005277 samples/sec accuracy=77.103966 loss=0.900919 lr=0.000443 Epoch[172] Batch [1349]/[1880] Speed: 182.870555 samples/sec accuracy=77.108218 loss=0.901149 lr=0.000442 Epoch[172] Batch [1399]/[1880] Speed: 183.217356 samples/sec accuracy=77.135045 loss=0.900587 lr=0.000441 Epoch[172] Batch [1449]/[1880] Speed: 180.533657 samples/sec accuracy=77.157866 loss=0.900059 lr=0.000440 Epoch[172] Batch [1499]/[1880] Speed: 196.779517 samples/sec accuracy=77.172396 loss=0.899438 lr=0.000439 Epoch[172] Batch [1549]/[1880] Speed: 186.462485 samples/sec accuracy=77.159274 loss=0.900228 lr=0.000438 Epoch[172] Batch [1599]/[1880] Speed: 175.078176 samples/sec accuracy=77.148926 loss=0.900298 lr=0.000437 Epoch[172] Batch [1649]/[1880] Speed: 200.876134 samples/sec accuracy=77.154830 loss=0.900454 lr=0.000436 Epoch[172] Batch [1699]/[1880] Speed: 171.650371 samples/sec accuracy=77.171415 loss=0.900675 lr=0.000435 Epoch[172] Batch [1749]/[1880] Speed: 186.415528 samples/sec accuracy=77.154018 loss=0.900927 lr=0.000434 Epoch[172] Batch [1799]/[1880] Speed: 196.053073 samples/sec accuracy=77.146701 loss=0.900740 lr=0.000433 Epoch[172] Batch [1849]/[1880] Speed: 178.682802 samples/sec accuracy=77.170186 loss=0.899893 lr=0.000432 Batch [0049]/[0151]: acc-top1=49.312500 acc-top5=73.671875 Batch [0099]/[0151]: acc-top1=53.179687 acc-top5=75.695312 Batch [0149]/[0151]: acc-top1=52.281250 acc-top5=75.375000 [Epoch 172] training: accuracy=77.171709 loss=0.900155 [Epoch 172] speed: 185 samples/sec time cost: 1415.233112 [Epoch 172] validation: acc-top1=52.229925 acc-top5=75.325952 loss=2.295970 Epoch[173] Batch [0049]/[1880] Speed: 136.054444 samples/sec accuracy=77.687500 loss=0.873489 lr=0.000431 Epoch[173] Batch [0099]/[1880] Speed: 177.146862 samples/sec accuracy=77.187500 loss=0.896041 lr=0.000430 Epoch[173] Batch [0149]/[1880] Speed: 189.130240 samples/sec accuracy=76.994792 loss=0.896868 lr=0.000429 Epoch[173] Batch [0199]/[1880] Speed: 202.183693 samples/sec accuracy=77.132812 loss=0.899757 lr=0.000428 Epoch[173] Batch [0249]/[1880] Speed: 163.356207 samples/sec accuracy=77.150000 loss=0.897724 lr=0.000427 Epoch[173] Batch [0299]/[1880] Speed: 203.307329 samples/sec accuracy=77.260417 loss=0.893564 lr=0.000426 Epoch[173] Batch [0349]/[1880] Speed: 182.451955 samples/sec accuracy=77.312500 loss=0.893174 lr=0.000425 Epoch[173] Batch [0399]/[1880] Speed: 182.494608 samples/sec accuracy=77.234375 loss=0.895317 lr=0.000424 Epoch[173] Batch [0449]/[1880] Speed: 202.192920 samples/sec accuracy=77.244792 loss=0.896786 lr=0.000423 Epoch[173] Batch [0499]/[1880] Speed: 167.478531 samples/sec accuracy=77.285938 loss=0.896718 lr=0.000422 Epoch[173] Batch [0549]/[1880] Speed: 194.845677 samples/sec accuracy=77.198864 loss=0.898204 lr=0.000421 Epoch[173] Batch [0599]/[1880] Speed: 177.163189 samples/sec accuracy=77.243490 loss=0.894842 lr=0.000420 Epoch[173] Batch [0649]/[1880] Speed: 193.782642 samples/sec accuracy=77.301683 loss=0.892872 lr=0.000419 Epoch[173] Batch [0699]/[1880] Speed: 200.238536 samples/sec accuracy=77.239955 loss=0.894655 lr=0.000418 Epoch[173] Batch [0749]/[1880] Speed: 172.019317 samples/sec accuracy=77.267708 loss=0.894188 lr=0.000417 Epoch[173] Batch [0799]/[1880] Speed: 194.810078 samples/sec accuracy=77.237305 loss=0.894962 lr=0.000416 Epoch[173] Batch [0849]/[1880] Speed: 172.903140 samples/sec accuracy=77.227941 loss=0.895120 lr=0.000415 Epoch[173] Batch [0899]/[1880] Speed: 201.164197 samples/sec accuracy=77.210938 loss=0.896591 lr=0.000414 Epoch[173] Batch [0949]/[1880] Speed: 188.101177 samples/sec accuracy=77.189145 loss=0.896133 lr=0.000413 Epoch[173] Batch [0999]/[1880] Speed: 175.120575 samples/sec accuracy=77.217187 loss=0.895038 lr=0.000412 Epoch[173] Batch [1049]/[1880] Speed: 198.120725 samples/sec accuracy=77.198661 loss=0.895919 lr=0.000411 Epoch[173] Batch [1099]/[1880] Speed: 169.703993 samples/sec accuracy=77.170455 loss=0.896493 lr=0.000410 Epoch[173] Batch [1149]/[1880] Speed: 194.271875 samples/sec accuracy=77.171875 loss=0.896598 lr=0.000409 Epoch[173] Batch [1199]/[1880] Speed: 201.796506 samples/sec accuracy=77.183594 loss=0.897053 lr=0.000409 Epoch[173] Batch [1249]/[1880] Speed: 173.727723 samples/sec accuracy=77.156875 loss=0.897997 lr=0.000408 Epoch[173] Batch [1299]/[1880] Speed: 193.779454 samples/sec accuracy=77.164062 loss=0.898487 lr=0.000407 Epoch[173] Batch [1349]/[1880] Speed: 174.325291 samples/sec accuracy=77.171875 loss=0.898933 lr=0.000406 Epoch[173] Batch [1399]/[1880] Speed: 189.310716 samples/sec accuracy=77.164062 loss=0.899365 lr=0.000405 Epoch[173] Batch [1449]/[1880] Speed: 193.385415 samples/sec accuracy=77.165948 loss=0.899352 lr=0.000404 Epoch[173] Batch [1499]/[1880] Speed: 181.854765 samples/sec accuracy=77.173437 loss=0.899219 lr=0.000403 Epoch[173] Batch [1549]/[1880] Speed: 178.358527 samples/sec accuracy=77.185988 loss=0.898757 lr=0.000402 Epoch[173] Batch [1599]/[1880] Speed: 195.720792 samples/sec accuracy=77.173340 loss=0.899425 lr=0.000401 Epoch[173] Batch [1649]/[1880] Speed: 179.894192 samples/sec accuracy=77.141098 loss=0.900169 lr=0.000400 Epoch[173] Batch [1699]/[1880] Speed: 187.184869 samples/sec accuracy=77.171875 loss=0.899114 lr=0.000399 Epoch[173] Batch [1749]/[1880] Speed: 182.748109 samples/sec accuracy=77.176339 loss=0.898638 lr=0.000398 Epoch[173] Batch [1799]/[1880] Speed: 198.808592 samples/sec accuracy=77.179253 loss=0.898677 lr=0.000397 Epoch[173] Batch [1849]/[1880] Speed: 171.709959 samples/sec accuracy=77.182432 loss=0.898948 lr=0.000396 Batch [0049]/[0151]: acc-top1=49.843750 acc-top5=74.046875 Batch [0099]/[0151]: acc-top1=53.398437 acc-top5=76.031250 Batch [0149]/[0151]: acc-top1=52.619792 acc-top5=75.656250 [Epoch 173] training: accuracy=77.185838 loss=0.898778 [Epoch 173] speed: 184 samples/sec time cost: 1416.975272 [Epoch 173] validation: acc-top1=52.561051 acc-top5=75.610513 loss=2.266635 Epoch[174] Batch [0049]/[1879] Speed: 137.307759 samples/sec accuracy=76.375000 loss=0.936067 lr=0.000395 Epoch[174] Batch [0099]/[1879] Speed: 178.610545 samples/sec accuracy=77.085938 loss=0.915874 lr=0.000394 Epoch[174] Batch [0149]/[1879] Speed: 188.820903 samples/sec accuracy=77.208333 loss=0.902475 lr=0.000393 Epoch[174] Batch [0199]/[1879] Speed: 197.010721 samples/sec accuracy=77.546875 loss=0.886544 lr=0.000392 Epoch[174] Batch [0249]/[1879] Speed: 169.366540 samples/sec accuracy=77.550000 loss=0.888202 lr=0.000391 Epoch[174] Batch [0299]/[1879] Speed: 202.747715 samples/sec accuracy=77.476562 loss=0.890771 lr=0.000390 Epoch[174] Batch [0349]/[1879] Speed: 166.697332 samples/sec accuracy=77.412946 loss=0.893574 lr=0.000389 Epoch[174] Batch [0399]/[1879] Speed: 200.651543 samples/sec accuracy=77.332031 loss=0.897125 lr=0.000388 Epoch[174] Batch [0449]/[1879] Speed: 176.660896 samples/sec accuracy=77.255208 loss=0.898742 lr=0.000387 Epoch[174] Batch [0499]/[1879] Speed: 190.473212 samples/sec accuracy=77.226562 loss=0.899770 lr=0.000386 Epoch[174] Batch [0549]/[1879] Speed: 197.207772 samples/sec accuracy=77.244318 loss=0.898097 lr=0.000385 Epoch[174] Batch [0599]/[1879] Speed: 164.339780 samples/sec accuracy=77.170573 loss=0.899577 lr=0.000384 Epoch[174] Batch [0649]/[1879] Speed: 200.682890 samples/sec accuracy=77.192308 loss=0.899350 lr=0.000383 Epoch[174] Batch [0699]/[1879] Speed: 191.292452 samples/sec accuracy=77.223214 loss=0.898260 lr=0.000382 Epoch[174] Batch [0749]/[1879] Speed: 162.204671 samples/sec accuracy=77.192708 loss=0.897669 lr=0.000381 Epoch[174] Batch [0799]/[1879] Speed: 205.443486 samples/sec accuracy=77.238281 loss=0.895482 lr=0.000381 Epoch[174] Batch [0849]/[1879] Speed: 197.017213 samples/sec accuracy=77.218750 loss=0.896397 lr=0.000380 Epoch[174] Batch [0899]/[1879] Speed: 167.392512 samples/sec accuracy=77.197049 loss=0.896132 lr=0.000379 Epoch[174] Batch [0949]/[1879] Speed: 204.272657 samples/sec accuracy=77.214638 loss=0.894583 lr=0.000378 Epoch[174] Batch [0999]/[1879] Speed: 169.057944 samples/sec accuracy=77.200781 loss=0.894445 lr=0.000377 Epoch[174] Batch [1049]/[1879] Speed: 195.478128 samples/sec accuracy=77.170387 loss=0.894947 lr=0.000376 Epoch[174] Batch [1099]/[1879] Speed: 175.740917 samples/sec accuracy=77.211648 loss=0.893564 lr=0.000375 Epoch[174] Batch [1149]/[1879] Speed: 200.370836 samples/sec accuracy=77.243886 loss=0.892972 lr=0.000374 Epoch[174] Batch [1199]/[1879] Speed: 182.246585 samples/sec accuracy=77.238281 loss=0.893318 lr=0.000373 Epoch[174] Batch [1249]/[1879] Speed: 176.256051 samples/sec accuracy=77.236875 loss=0.893677 lr=0.000372 Epoch[174] Batch [1299]/[1879] Speed: 197.858098 samples/sec accuracy=77.228966 loss=0.893595 lr=0.000371 Epoch[174] Batch [1349]/[1879] Speed: 180.005371 samples/sec accuracy=77.203704 loss=0.893545 lr=0.000370 Epoch[174] Batch [1399]/[1879] Speed: 187.835427 samples/sec accuracy=77.206473 loss=0.893772 lr=0.000369 Epoch[174] Batch [1449]/[1879] Speed: 186.221770 samples/sec accuracy=77.211746 loss=0.893744 lr=0.000369 Epoch[174] Batch [1499]/[1879] Speed: 174.905463 samples/sec accuracy=77.204167 loss=0.894675 lr=0.000368 Epoch[174] Batch [1549]/[1879] Speed: 204.743163 samples/sec accuracy=77.184476 loss=0.895329 lr=0.000367 Epoch[174] Batch [1599]/[1879] Speed: 173.598801 samples/sec accuracy=77.148438 loss=0.896424 lr=0.000366 Epoch[174] Batch [1649]/[1879] Speed: 181.444996 samples/sec accuracy=77.165246 loss=0.895853 lr=0.000365 Epoch[174] Batch [1699]/[1879] Speed: 201.867233 samples/sec accuracy=77.197610 loss=0.895180 lr=0.000364 Epoch[174] Batch [1749]/[1879] Speed: 171.776618 samples/sec accuracy=77.220536 loss=0.894695 lr=0.000363 Epoch[174] Batch [1799]/[1879] Speed: 196.681311 samples/sec accuracy=77.256510 loss=0.893878 lr=0.000362 Epoch[174] Batch [1849]/[1879] Speed: 184.706421 samples/sec accuracy=77.271959 loss=0.893814 lr=0.000361 Batch [0049]/[0151]: acc-top1=50.125000 acc-top5=73.859375 Batch [0099]/[0151]: acc-top1=53.648438 acc-top5=75.898438 Batch [0149]/[0151]: acc-top1=52.765625 acc-top5=75.484375 [Epoch 174] training: accuracy=77.282630 loss=0.893380 [Epoch 174] speed: 184 samples/sec time cost: 1419.992600 [Epoch 174] validation: acc-top1=52.705919 acc-top5=75.429429 loss=2.268635 Epoch[175] Batch [0049]/[1880] Speed: 134.643001 samples/sec accuracy=77.625000 loss=0.888756 lr=0.000360 Epoch[175] Batch [0099]/[1880] Speed: 195.243716 samples/sec accuracy=77.476562 loss=0.889282 lr=0.000359 Epoch[175] Batch [0149]/[1880] Speed: 172.050156 samples/sec accuracy=77.765625 loss=0.884587 lr=0.000358 Epoch[175] Batch [0199]/[1880] Speed: 205.277385 samples/sec accuracy=77.503906 loss=0.891163 lr=0.000357 Epoch[175] Batch [0249]/[1880] Speed: 169.077000 samples/sec accuracy=77.515625 loss=0.885558 lr=0.000356 Epoch[175] Batch [0299]/[1880] Speed: 204.004179 samples/sec accuracy=77.377604 loss=0.889497 lr=0.000355 Epoch[175] Batch [0349]/[1880] Speed: 186.691851 samples/sec accuracy=77.350446 loss=0.886864 lr=0.000354 Epoch[175] Batch [0399]/[1880] Speed: 172.765712 samples/sec accuracy=77.367188 loss=0.888293 lr=0.000353 Epoch[175] Batch [0449]/[1880] Speed: 196.020625 samples/sec accuracy=77.388889 loss=0.890581 lr=0.000353 Epoch[175] Batch [0499]/[1880] Speed: 176.234770 samples/sec accuracy=77.453125 loss=0.887864 lr=0.000352 Epoch[175] Batch [0549]/[1880] Speed: 186.115916 samples/sec accuracy=77.397727 loss=0.886907 lr=0.000351 Epoch[175] Batch [0599]/[1880] Speed: 194.790182 samples/sec accuracy=77.411458 loss=0.887562 lr=0.000350 Epoch[175] Batch [0649]/[1880] Speed: 178.621515 samples/sec accuracy=77.433894 loss=0.886757 lr=0.000349 Epoch[175] Batch [0699]/[1880] Speed: 186.338546 samples/sec accuracy=77.489955 loss=0.883847 lr=0.000348 Epoch[175] Batch [0749]/[1880] Speed: 188.054535 samples/sec accuracy=77.459375 loss=0.885385 lr=0.000347 Epoch[175] Batch [0799]/[1880] Speed: 197.438358 samples/sec accuracy=77.456055 loss=0.885659 lr=0.000346 Epoch[175] Batch [0849]/[1880] Speed: 168.339611 samples/sec accuracy=77.501838 loss=0.884662 lr=0.000345 Epoch[175] Batch [0899]/[1880] Speed: 199.721690 samples/sec accuracy=77.531250 loss=0.884024 lr=0.000345 Epoch[175] Batch [0949]/[1880] Speed: 170.467052 samples/sec accuracy=77.534539 loss=0.883748 lr=0.000344 Epoch[175] Batch [0999]/[1880] Speed: 202.096876 samples/sec accuracy=77.539062 loss=0.884723 lr=0.000343 Epoch[175] Batch [1049]/[1880] Speed: 190.266688 samples/sec accuracy=77.493304 loss=0.885905 lr=0.000342 Epoch[175] Batch [1099]/[1880] Speed: 177.919357 samples/sec accuracy=77.470170 loss=0.886876 lr=0.000341 Epoch[175] Batch [1149]/[1880] Speed: 190.683906 samples/sec accuracy=77.463315 loss=0.887031 lr=0.000340 Epoch[175] Batch [1199]/[1880] Speed: 177.569058 samples/sec accuracy=77.472656 loss=0.886345 lr=0.000339 Epoch[175] Batch [1249]/[1880] Speed: 180.419895 samples/sec accuracy=77.465625 loss=0.887014 lr=0.000338 Epoch[175] Batch [1299]/[1880] Speed: 197.395683 samples/sec accuracy=77.469952 loss=0.886625 lr=0.000337 Epoch[175] Batch [1349]/[1880] Speed: 183.854003 samples/sec accuracy=77.476273 loss=0.886309 lr=0.000337 Epoch[175] Batch [1399]/[1880] Speed: 171.640550 samples/sec accuracy=77.513393 loss=0.884745 lr=0.000336 Epoch[175] Batch [1449]/[1880] Speed: 203.635064 samples/sec accuracy=77.529634 loss=0.883937 lr=0.000335 Epoch[175] Batch [1499]/[1880] Speed: 174.457390 samples/sec accuracy=77.528646 loss=0.883351 lr=0.000334 Epoch[175] Batch [1549]/[1880] Speed: 195.298015 samples/sec accuracy=77.503024 loss=0.884887 lr=0.000333 Epoch[175] Batch [1599]/[1880] Speed: 192.517208 samples/sec accuracy=77.488770 loss=0.885825 lr=0.000332 Epoch[175] Batch [1649]/[1880] Speed: 171.917663 samples/sec accuracy=77.506155 loss=0.885209 lr=0.000331 Epoch[175] Batch [1699]/[1880] Speed: 205.199542 samples/sec accuracy=77.499081 loss=0.885670 lr=0.000331 Epoch[175] Batch [1749]/[1880] Speed: 160.718569 samples/sec accuracy=77.503571 loss=0.885697 lr=0.000330 Epoch[175] Batch [1799]/[1880] Speed: 204.002485 samples/sec accuracy=77.505208 loss=0.885722 lr=0.000329 Epoch[175] Batch [1849]/[1880] Speed: 182.513854 samples/sec accuracy=77.518159 loss=0.885993 lr=0.000328 Batch [0049]/[0151]: acc-top1=49.750000 acc-top5=73.796875 Batch [0099]/[0151]: acc-top1=53.218750 acc-top5=75.757812 Batch [0149]/[0151]: acc-top1=52.536458 acc-top5=75.427083 [Epoch 175] training: accuracy=77.525349 loss=0.885777 [Epoch 175] speed: 184 samples/sec time cost: 1418.041759 [Epoch 175] validation: acc-top1=52.478270 acc-top5=75.377690 loss=2.277411 Epoch[176] Batch [0049]/[1880] Speed: 134.119300 samples/sec accuracy=77.937500 loss=0.872711 lr=0.000327 Epoch[176] Batch [0099]/[1880] Speed: 192.897943 samples/sec accuracy=77.453125 loss=0.879932 lr=0.000326 Epoch[176] Batch [0149]/[1880] Speed: 174.062151 samples/sec accuracy=77.411458 loss=0.877514 lr=0.000325 Epoch[176] Batch [0199]/[1880] Speed: 202.452251 samples/sec accuracy=77.558594 loss=0.873381 lr=0.000324 Epoch[176] Batch [0249]/[1880] Speed: 171.576527 samples/sec accuracy=77.718750 loss=0.868251 lr=0.000323 Epoch[176] Batch [0299]/[1880] Speed: 196.918243 samples/sec accuracy=77.643229 loss=0.869399 lr=0.000322 Epoch[176] Batch [0349]/[1880] Speed: 192.378171 samples/sec accuracy=77.598214 loss=0.873598 lr=0.000321 Epoch[176] Batch [0399]/[1880] Speed: 166.166333 samples/sec accuracy=77.658203 loss=0.873831 lr=0.000321 Epoch[176] Batch [0449]/[1880] Speed: 199.945581 samples/sec accuracy=77.690972 loss=0.874196 lr=0.000320 Epoch[176] Batch [0499]/[1880] Speed: 172.521587 samples/sec accuracy=77.650000 loss=0.875410 lr=0.000319 Epoch[176] Batch [0549]/[1880] Speed: 197.238279 samples/sec accuracy=77.693182 loss=0.873141 lr=0.000318 Epoch[176] Batch [0599]/[1880] Speed: 187.902290 samples/sec accuracy=77.727865 loss=0.872536 lr=0.000317 Epoch[176] Batch [0649]/[1880] Speed: 172.831479 samples/sec accuracy=77.728365 loss=0.872217 lr=0.000316 Epoch[176] Batch [0699]/[1880] Speed: 204.720640 samples/sec accuracy=77.752232 loss=0.871550 lr=0.000315 Epoch[176] Batch [0749]/[1880] Speed: 182.621716 samples/sec accuracy=77.722917 loss=0.871818 lr=0.000315 Epoch[176] Batch [0799]/[1880] Speed: 178.529946 samples/sec accuracy=77.676758 loss=0.873048 lr=0.000314 Epoch[176] Batch [0849]/[1880] Speed: 195.818890 samples/sec accuracy=77.655331 loss=0.873052 lr=0.000313 Epoch[176] Batch [0899]/[1880] Speed: 175.679085 samples/sec accuracy=77.646701 loss=0.873434 lr=0.000312 Epoch[176] Batch [0949]/[1880] Speed: 186.673999 samples/sec accuracy=77.618421 loss=0.875034 lr=0.000311 Epoch[176] Batch [0999]/[1880] Speed: 192.204679 samples/sec accuracy=77.605469 loss=0.876163 lr=0.000310 Epoch[176] Batch [1049]/[1880] Speed: 170.407582 samples/sec accuracy=77.636905 loss=0.875575 lr=0.000309 Epoch[176] Batch [1099]/[1880] Speed: 205.051299 samples/sec accuracy=77.605824 loss=0.876838 lr=0.000309 Epoch[176] Batch [1149]/[1880] Speed: 175.500377 samples/sec accuracy=77.614130 loss=0.876592 lr=0.000308 Epoch[176] Batch [1199]/[1880] Speed: 182.446808 samples/sec accuracy=77.605469 loss=0.877051 lr=0.000307 Epoch[176] Batch [1249]/[1880] Speed: 201.851007 samples/sec accuracy=77.598125 loss=0.877274 lr=0.000306 Epoch[176] Batch [1299]/[1880] Speed: 184.843149 samples/sec accuracy=77.611178 loss=0.876400 lr=0.000305 Epoch[176] Batch [1349]/[1880] Speed: 180.298416 samples/sec accuracy=77.598958 loss=0.876287 lr=0.000304 Epoch[176] Batch [1399]/[1880] Speed: 190.904891 samples/sec accuracy=77.587612 loss=0.876872 lr=0.000304 Epoch[176] Batch [1449]/[1880] Speed: 172.952784 samples/sec accuracy=77.560345 loss=0.877751 lr=0.000303 Epoch[176] Batch [1499]/[1880] Speed: 201.750033 samples/sec accuracy=77.545312 loss=0.878419 lr=0.000302 Epoch[176] Batch [1549]/[1880] Speed: 187.666151 samples/sec accuracy=77.530746 loss=0.879416 lr=0.000301 Epoch[176] Batch [1599]/[1880] Speed: 174.545581 samples/sec accuracy=77.537109 loss=0.879275 lr=0.000300 Epoch[176] Batch [1649]/[1880] Speed: 191.661442 samples/sec accuracy=77.543561 loss=0.879592 lr=0.000299 Epoch[176] Batch [1699]/[1880] Speed: 186.332799 samples/sec accuracy=77.562960 loss=0.878518 lr=0.000299 Epoch[176] Batch [1749]/[1880] Speed: 172.203840 samples/sec accuracy=77.568750 loss=0.878378 lr=0.000298 Epoch[176] Batch [1799]/[1880] Speed: 201.870601 samples/sec accuracy=77.572483 loss=0.878741 lr=0.000297 Epoch[176] Batch [1849]/[1880] Speed: 175.105424 samples/sec accuracy=77.589527 loss=0.878421 lr=0.000296 Batch [0049]/[0151]: acc-top1=49.843750 acc-top5=73.984375 Batch [0099]/[0151]: acc-top1=53.593750 acc-top5=75.960938 Batch [0149]/[0151]: acc-top1=52.755208 acc-top5=75.598958 [Epoch 176] training: accuracy=77.586021 loss=0.878796 [Epoch 176] speed: 184 samples/sec time cost: 1418.611918 [Epoch 176] validation: acc-top1=52.695571 acc-top5=75.548427 loss=2.271690 Epoch[177] Batch [0049]/[1880] Speed: 131.959345 samples/sec accuracy=76.859375 loss=0.899709 lr=0.000295 Epoch[177] Batch [0099]/[1880] Speed: 180.933708 samples/sec accuracy=77.187500 loss=0.885024 lr=0.000294 Epoch[177] Batch [0149]/[1880] Speed: 190.894551 samples/sec accuracy=77.552083 loss=0.874106 lr=0.000293 Epoch[177] Batch [0199]/[1880] Speed: 201.006793 samples/sec accuracy=77.773438 loss=0.863949 lr=0.000292 Epoch[177] Batch [0249]/[1880] Speed: 171.282376 samples/sec accuracy=77.781250 loss=0.866756 lr=0.000292 Epoch[177] Batch [0299]/[1880] Speed: 200.328745 samples/sec accuracy=77.710938 loss=0.869759 lr=0.000291 Epoch[177] Batch [0349]/[1880] Speed: 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loss=0.868818 lr=0.000283 Epoch[177] Batch [0849]/[1880] Speed: 203.172929 samples/sec accuracy=77.685662 loss=0.871364 lr=0.000282 Epoch[177] Batch [0899]/[1880] Speed: 172.239485 samples/sec accuracy=77.675347 loss=0.871949 lr=0.000281 Epoch[177] Batch [0949]/[1880] Speed: 198.431932 samples/sec accuracy=77.675164 loss=0.873162 lr=0.000280 Epoch[177] Batch [0999]/[1880] Speed: 187.230848 samples/sec accuracy=77.682812 loss=0.872913 lr=0.000279 Epoch[177] Batch [1049]/[1880] Speed: 189.854697 samples/sec accuracy=77.667411 loss=0.873093 lr=0.000279 Epoch[177] Batch [1099]/[1880] Speed: 176.359083 samples/sec accuracy=77.669034 loss=0.872471 lr=0.000278 Epoch[177] Batch [1149]/[1880] Speed: 188.765031 samples/sec accuracy=77.686141 loss=0.871769 lr=0.000277 Epoch[177] Batch [1199]/[1880] Speed: 180.024463 samples/sec accuracy=77.709635 loss=0.871104 lr=0.000276 Epoch[177] Batch [1249]/[1880] Speed: 186.062975 samples/sec accuracy=77.730625 loss=0.870907 lr=0.000275 Epoch[177] Batch [1299]/[1880] Speed: 192.122679 samples/sec accuracy=77.737380 loss=0.871121 lr=0.000275 Epoch[177] Batch [1349]/[1880] Speed: 184.248957 samples/sec accuracy=77.721644 loss=0.871314 lr=0.000274 Epoch[177] Batch [1399]/[1880] Speed: 193.698135 samples/sec accuracy=77.726004 loss=0.870911 lr=0.000273 Epoch[177] Batch [1449]/[1880] Speed: 180.059248 samples/sec accuracy=77.681573 loss=0.873415 lr=0.000272 Epoch[177] Batch [1499]/[1880] Speed: 180.669616 samples/sec accuracy=77.689583 loss=0.873435 lr=0.000271 Epoch[177] Batch [1549]/[1880] Speed: 200.330849 samples/sec accuracy=77.686996 loss=0.873771 lr=0.000271 Epoch[177] Batch [1599]/[1880] Speed: 171.155834 samples/sec accuracy=77.708008 loss=0.873710 lr=0.000270 Epoch[177] Batch [1649]/[1880] Speed: 189.488958 samples/sec accuracy=77.723011 loss=0.873820 lr=0.000269 Epoch[177] Batch [1699]/[1880] Speed: 197.274606 samples/sec accuracy=77.726562 loss=0.873758 lr=0.000268 Epoch[177] Batch [1749]/[1880] Speed: 166.386869 samples/sec accuracy=77.735714 loss=0.873252 lr=0.000268 Epoch[177] Batch [1799]/[1880] Speed: 201.178002 samples/sec accuracy=77.753038 loss=0.872852 lr=0.000267 Epoch[177] Batch [1849]/[1880] Speed: 184.738111 samples/sec accuracy=77.760135 loss=0.872433 lr=0.000266 Batch [0049]/[0151]: acc-top1=49.671875 acc-top5=73.890625 Batch [0099]/[0151]: acc-top1=53.367188 acc-top5=75.867188 Batch [0149]/[0151]: acc-top1=52.687500 acc-top5=75.536458 [Epoch 177] training: accuracy=77.758062 loss=0.872887 [Epoch 177] speed: 184 samples/sec time cost: 1419.153755 [Epoch 177] validation: acc-top1=52.638659 acc-top5=75.486341 loss=2.269381 Epoch[178] Batch [0049]/[1880] Speed: 129.012094 samples/sec accuracy=77.593750 loss=0.888132 lr=0.000265 Epoch[178] Batch [0099]/[1880] Speed: 198.040746 samples/sec accuracy=77.796875 loss=0.882868 lr=0.000264 Epoch[178] Batch [0149]/[1880] Speed: 182.573922 samples/sec accuracy=77.843750 loss=0.870305 lr=0.000263 Epoch[178] Batch [0199]/[1880] Speed: 180.494993 samples/sec accuracy=77.890625 loss=0.862112 lr=0.000262 Epoch[178] Batch [0249]/[1880] Speed: 202.070053 samples/sec accuracy=77.962500 loss=0.860253 lr=0.000262 Epoch[178] Batch [0299]/[1880] Speed: 187.643737 samples/sec accuracy=77.958333 loss=0.861132 lr=0.000261 Epoch[178] Batch [0349]/[1880] Speed: 173.318572 samples/sec accuracy=77.935268 loss=0.860223 lr=0.000260 Epoch[178] Batch [0399]/[1880] Speed: 200.925198 samples/sec accuracy=78.005859 loss=0.859308 lr=0.000259 Epoch[178] Batch [0449]/[1880] Speed: 173.607268 samples/sec accuracy=77.987847 loss=0.861593 lr=0.000258 Epoch[178] Batch [0499]/[1880] Speed: 189.692727 samples/sec accuracy=77.921875 loss=0.861545 lr=0.000258 Epoch[178] Batch [0549]/[1880] Speed: 180.346907 samples/sec accuracy=77.933239 loss=0.860747 lr=0.000257 Epoch[178] Batch [0599]/[1880] Speed: 191.156753 samples/sec accuracy=77.908854 loss=0.862091 lr=0.000256 Epoch[178] Batch [0649]/[1880] Speed: 184.239237 samples/sec accuracy=77.889423 loss=0.863212 lr=0.000255 Epoch[178] Batch [0699]/[1880] Speed: 192.155745 samples/sec accuracy=77.881696 loss=0.863152 lr=0.000255 Epoch[178] Batch [0749]/[1880] Speed: 171.273751 samples/sec accuracy=77.872917 loss=0.862653 lr=0.000254 Epoch[178] Batch [0799]/[1880] Speed: 201.245885 samples/sec accuracy=77.884766 loss=0.862669 lr=0.000253 Epoch[178] Batch [0849]/[1880] Speed: 180.645204 samples/sec accuracy=77.833640 loss=0.864775 lr=0.000252 Epoch[178] Batch [0899]/[1880] Speed: 189.196057 samples/sec accuracy=77.826389 loss=0.865354 lr=0.000252 Epoch[178] Batch [0949]/[1880] Speed: 186.863495 samples/sec accuracy=77.795230 loss=0.865978 lr=0.000251 Epoch[178] Batch [0999]/[1880] Speed: 175.917321 samples/sec accuracy=77.785156 loss=0.866398 lr=0.000250 Epoch[178] Batch [1049]/[1880] Speed: 197.942131 samples/sec accuracy=77.756696 loss=0.867357 lr=0.000249 Epoch[178] Batch [1099]/[1880] Speed: 178.363946 samples/sec accuracy=77.704545 loss=0.868428 lr=0.000249 Epoch[178] Batch [1149]/[1880] Speed: 177.383149 samples/sec accuracy=77.709239 loss=0.868691 lr=0.000248 Epoch[178] Batch [1199]/[1880] Speed: 202.378856 samples/sec accuracy=77.707031 loss=0.869460 lr=0.000247 Epoch[178] Batch [1249]/[1880] Speed: 184.144754 samples/sec accuracy=77.701250 loss=0.870035 lr=0.000246 Epoch[178] Batch [1299]/[1880] Speed: 190.569440 samples/sec accuracy=77.705529 loss=0.870612 lr=0.000246 Epoch[178] Batch [1349]/[1880] Speed: 186.461228 samples/sec accuracy=77.718171 loss=0.870803 lr=0.000245 Epoch[178] Batch [1399]/[1880] Speed: 176.190316 samples/sec accuracy=77.723772 loss=0.870539 lr=0.000244 Epoch[178] Batch [1449]/[1880] Speed: 198.146309 samples/sec accuracy=77.739763 loss=0.870325 lr=0.000243 Epoch[178] Batch [1499]/[1880] Speed: 183.417379 samples/sec accuracy=77.764583 loss=0.869830 lr=0.000243 Epoch[178] Batch [1549]/[1880] Speed: 178.274326 samples/sec accuracy=77.765121 loss=0.869928 lr=0.000242 Epoch[178] Batch [1599]/[1880] Speed: 191.574132 samples/sec accuracy=77.757324 loss=0.870814 lr=0.000241 Epoch[178] Batch [1649]/[1880] Speed: 176.700987 samples/sec accuracy=77.741951 loss=0.871246 lr=0.000240 Epoch[178] Batch [1699]/[1880] Speed: 201.139887 samples/sec accuracy=77.741728 loss=0.871184 lr=0.000240 Epoch[178] Batch [1749]/[1880] Speed: 173.776098 samples/sec accuracy=77.737500 loss=0.871506 lr=0.000239 Epoch[178] Batch [1799]/[1880] Speed: 194.421384 samples/sec accuracy=77.731771 loss=0.871665 lr=0.000238 Epoch[178] Batch [1849]/[1880] Speed: 191.220554 samples/sec accuracy=77.742821 loss=0.871784 lr=0.000237 Batch [0049]/[0151]: acc-top1=49.718750 acc-top5=73.796875 Batch [0099]/[0151]: acc-top1=53.257812 acc-top5=75.812500 Batch [0149]/[0151]: acc-top1=52.572917 acc-top5=75.614583 [Epoch 178] training: accuracy=77.736453 loss=0.872008 [Epoch 178] speed: 184 samples/sec time cost: 1418.858163 [Epoch 178] validation: acc-top1=52.524834 acc-top5=75.563949 loss=2.271538 Epoch[179] Batch [0049]/[1880] Speed: 133.313020 samples/sec accuracy=77.515625 loss=0.866559 lr=0.000236 Epoch[179] Batch [0099]/[1880] Speed: 190.837533 samples/sec accuracy=78.257812 loss=0.854072 lr=0.000235 Epoch[179] Batch [0149]/[1880] Speed: 187.089841 samples/sec accuracy=78.281250 loss=0.856407 lr=0.000235 Epoch[179] Batch [0199]/[1880] Speed: 179.724708 samples/sec accuracy=78.128906 loss=0.862827 lr=0.000234 Epoch[179] Batch [0249]/[1880] Speed: 188.236887 samples/sec accuracy=78.053125 loss=0.863824 lr=0.000233 Epoch[179] Batch [0299]/[1880] Speed: 200.520235 samples/sec accuracy=77.914062 loss=0.867832 lr=0.000232 Epoch[179] Batch [0349]/[1880] Speed: 169.444538 samples/sec accuracy=78.058036 loss=0.861372 lr=0.000232 Epoch[179] Batch [0399]/[1880] Speed: 204.721310 samples/sec accuracy=77.976562 loss=0.866433 lr=0.000231 Epoch[179] Batch [0449]/[1880] Speed: 173.459639 samples/sec accuracy=77.935764 loss=0.864633 lr=0.000230 Epoch[179] Batch [0499]/[1880] Speed: 183.928276 samples/sec accuracy=77.917187 loss=0.864671 lr=0.000230 Epoch[179] Batch [0549]/[1880] Speed: 184.672218 samples/sec accuracy=78.028409 loss=0.861935 lr=0.000229 Epoch[179] Batch [0599]/[1880] Speed: 184.598425 samples/sec accuracy=78.039062 loss=0.860333 lr=0.000228 Epoch[179] Batch [0649]/[1880] Speed: 196.594241 samples/sec accuracy=78.050481 loss=0.859801 lr=0.000227 Epoch[179] Batch [0699]/[1880] Speed: 176.963271 samples/sec accuracy=77.972098 loss=0.863660 lr=0.000227 Epoch[179] Batch [0749]/[1880] Speed: 187.138483 samples/sec accuracy=77.908333 loss=0.865281 lr=0.000226 Epoch[179] Batch [0799]/[1880] Speed: 198.248184 samples/sec accuracy=77.901367 loss=0.865379 lr=0.000225 Epoch[179] Batch [0849]/[1880] Speed: 181.016513 samples/sec accuracy=77.930147 loss=0.863815 lr=0.000224 Epoch[179] Batch [0899]/[1880] Speed: 178.554895 samples/sec accuracy=78.000868 loss=0.862552 lr=0.000224 Epoch[179] Batch [0949]/[1880] Speed: 203.846276 samples/sec accuracy=78.005757 loss=0.863525 lr=0.000223 Epoch[179] Batch [0999]/[1880] Speed: 166.121092 samples/sec accuracy=78.017969 loss=0.864339 lr=0.000222 Epoch[179] Batch [1049]/[1880] Speed: 202.163075 samples/sec accuracy=77.965774 loss=0.865279 lr=0.000222 Epoch[179] Batch [1099]/[1880] Speed: 185.691079 samples/sec accuracy=77.970881 loss=0.864947 lr=0.000221 Epoch[179] Batch [1149]/[1880] Speed: 177.107504 samples/sec accuracy=78.000679 loss=0.865385 lr=0.000220 Epoch[179] Batch [1199]/[1880] Speed: 196.684144 samples/sec accuracy=77.977865 loss=0.867187 lr=0.000219 Epoch[179] Batch [1249]/[1880] Speed: 168.415622 samples/sec accuracy=77.948125 loss=0.868533 lr=0.000219 Epoch[179] Batch [1299]/[1880] Speed: 200.162788 samples/sec accuracy=77.923077 loss=0.869847 lr=0.000218 Epoch[179] Batch [1349]/[1880] Speed: 181.875584 samples/sec accuracy=77.943287 loss=0.869156 lr=0.000217 Epoch[179] Batch [1399]/[1880] Speed: 192.381986 samples/sec accuracy=77.941406 loss=0.869324 lr=0.000217 Epoch[179] Batch [1449]/[1880] Speed: 189.421041 samples/sec accuracy=77.955280 loss=0.868484 lr=0.000216 Epoch[179] Batch [1499]/[1880] Speed: 177.100676 samples/sec accuracy=77.940625 loss=0.869138 lr=0.000215 Epoch[179] Batch [1549]/[1880] Speed: 194.467642 samples/sec accuracy=77.938004 loss=0.868694 lr=0.000215 Epoch[179] Batch [1599]/[1880] Speed: 182.009317 samples/sec accuracy=77.931641 loss=0.868946 lr=0.000214 Epoch[179] Batch [1649]/[1880] Speed: 182.362723 samples/sec accuracy=77.924716 loss=0.869298 lr=0.000213 Epoch[179] Batch [1699]/[1880] Speed: 190.241100 samples/sec accuracy=77.916820 loss=0.869451 lr=0.000212 Epoch[179] Batch [1749]/[1880] Speed: 175.021011 samples/sec accuracy=77.924107 loss=0.869603 lr=0.000212 Epoch[179] Batch [1799]/[1880] Speed: 190.936617 samples/sec accuracy=77.923177 loss=0.869769 lr=0.000211 Epoch[179] Batch [1849]/[1880] Speed: 191.885112 samples/sec accuracy=77.932432 loss=0.869661 lr=0.000210 Batch [0049]/[0151]: acc-top1=49.750000 acc-top5=74.203125 Batch [0099]/[0151]: acc-top1=53.335938 acc-top5=75.992188 Batch [0149]/[0151]: acc-top1=52.625000 acc-top5=75.520833 [Epoch 179] training: accuracy=77.947972 loss=0.869469 [Epoch 179] speed: 184 samples/sec time cost: 1417.765480 [Epoch 179] validation: acc-top1=52.566225 acc-top5=75.460472 loss=2.276261 Epoch[180] Batch [0049]/[1879] Speed: 138.455006 samples/sec accuracy=78.234375 loss=0.856491 lr=0.000209 Epoch[180] Batch [0099]/[1879] Speed: 196.868914 samples/sec accuracy=78.320312 loss=0.846009 lr=0.000209 Epoch[180] Batch [0149]/[1879] Speed: 169.841313 samples/sec accuracy=78.015625 loss=0.861555 lr=0.000208 Epoch[180] Batch [0199]/[1879] Speed: 205.232507 samples/sec accuracy=77.832031 loss=0.873669 lr=0.000207 Epoch[180] Batch [0249]/[1879] Speed: 173.839137 samples/sec accuracy=78.018750 loss=0.868259 lr=0.000206 Epoch[180] Batch [0299]/[1879] Speed: 191.569819 samples/sec accuracy=77.929688 loss=0.869312 lr=0.000206 Epoch[180] Batch [0349]/[1879] Speed: 186.649937 samples/sec accuracy=77.875000 loss=0.869321 lr=0.000205 Epoch[180] Batch [0399]/[1879] Speed: 186.081578 samples/sec accuracy=77.904297 loss=0.865393 lr=0.000204 Epoch[180] Batch [0449]/[1879] Speed: 189.191647 samples/sec accuracy=77.923611 loss=0.863585 lr=0.000204 Epoch[180] Batch [0499]/[1879] Speed: 180.089210 samples/sec accuracy=77.953125 loss=0.862176 lr=0.000203 Epoch[180] Batch [0549]/[1879] Speed: 184.481497 samples/sec accuracy=77.872159 loss=0.865620 lr=0.000202 Epoch[180] Batch [0599]/[1879] Speed: 200.010828 samples/sec accuracy=77.919271 loss=0.864471 lr=0.000202 Epoch[180] Batch [0649]/[1879] Speed: 167.584364 samples/sec accuracy=77.872596 loss=0.865255 lr=0.000201 Epoch[180] Batch [0699]/[1879] Speed: 199.114897 samples/sec accuracy=77.921875 loss=0.863259 lr=0.000200 Epoch[180] Batch [0749]/[1879] Speed: 181.216411 samples/sec accuracy=77.860417 loss=0.864836 lr=0.000200 Epoch[180] Batch [0799]/[1879] Speed: 186.428775 samples/sec accuracy=77.882812 loss=0.864875 lr=0.000199 Epoch[180] Batch [0849]/[1879] Speed: 179.965889 samples/sec accuracy=77.910846 loss=0.864770 lr=0.000198 Epoch[180] Batch [0899]/[1879] Speed: 199.411985 samples/sec accuracy=77.936632 loss=0.863478 lr=0.000198 Epoch[180] Batch [0949]/[1879] Speed: 183.899669 samples/sec accuracy=77.938322 loss=0.862978 lr=0.000197 Epoch[180] Batch [0999]/[1879] Speed: 180.224739 samples/sec accuracy=77.928125 loss=0.863196 lr=0.000196 Epoch[180] Batch [1049]/[1879] Speed: 180.169349 samples/sec accuracy=77.920387 loss=0.863321 lr=0.000196 Epoch[180] Batch [1099]/[1879] Speed: 205.122944 samples/sec accuracy=77.938920 loss=0.862794 lr=0.000195 Epoch[180] Batch [1149]/[1879] Speed: 183.688587 samples/sec accuracy=77.949728 loss=0.862797 lr=0.000194 Epoch[180] Batch [1199]/[1879] Speed: 179.185116 samples/sec accuracy=77.978516 loss=0.862743 lr=0.000194 Epoch[180] Batch [1249]/[1879] Speed: 193.423302 samples/sec accuracy=78.007500 loss=0.862299 lr=0.000193 Epoch[180] Batch [1299]/[1879] Speed: 179.651372 samples/sec accuracy=78.006010 loss=0.862155 lr=0.000192 Epoch[180] Batch [1349]/[1879] Speed: 198.953045 samples/sec accuracy=78.006944 loss=0.862724 lr=0.000192 Epoch[180] Batch [1399]/[1879] Speed: 169.330906 samples/sec accuracy=77.994420 loss=0.862789 lr=0.000191 Epoch[180] Batch [1449]/[1879] Speed: 196.028675 samples/sec accuracy=77.965517 loss=0.863475 lr=0.000190 Epoch[180] Batch [1499]/[1879] Speed: 177.310388 samples/sec accuracy=77.940625 loss=0.863961 lr=0.000190 Epoch[180] Batch [1549]/[1879] Speed: 192.869248 samples/sec accuracy=77.951613 loss=0.863831 lr=0.000189 Epoch[180] Batch [1599]/[1879] Speed: 198.728192 samples/sec accuracy=77.944824 loss=0.863538 lr=0.000188 Epoch[180] Batch [1649]/[1879] Speed: 164.457313 samples/sec accuracy=77.964962 loss=0.862160 lr=0.000188 Epoch[180] Batch [1699]/[1879] Speed: 201.282044 samples/sec accuracy=77.970588 loss=0.861702 lr=0.000187 Epoch[180] Batch [1749]/[1879] Speed: 184.347561 samples/sec accuracy=77.979018 loss=0.861231 lr=0.000186 Epoch[180] Batch [1799]/[1879] Speed: 185.135109 samples/sec accuracy=77.980903 loss=0.861677 lr=0.000186 Epoch[180] Batch [1849]/[1879] Speed: 195.497233 samples/sec accuracy=77.980997 loss=0.862120 lr=0.000185 Batch [0049]/[0151]: acc-top1=49.843750 acc-top5=74.109375 Batch [0099]/[0151]: acc-top1=53.468750 acc-top5=76.031250 Batch [0149]/[0151]: acc-top1=52.677083 acc-top5=75.703125 [Epoch 180] training: accuracy=78.003177 loss=0.861186 [Epoch 180] speed: 185 samples/sec time cost: 1413.404452 [Epoch 180] validation: acc-top1=52.617964 acc-top5=75.641556 loss=2.280154 Epoch[181] Batch [0049]/[1880] Speed: 129.504595 samples/sec accuracy=77.734375 loss=0.860990 lr=0.000184 Epoch[181] Batch [0099]/[1880] Speed: 208.334187 samples/sec accuracy=78.296875 loss=0.846035 lr=0.000183 Epoch[181] Batch [0149]/[1880] Speed: 159.778747 samples/sec accuracy=78.385417 loss=0.842230 lr=0.000183 Epoch[181] Batch [0199]/[1880] Speed: 203.254000 samples/sec accuracy=78.523438 loss=0.836389 lr=0.000182 Epoch[181] Batch [0249]/[1880] Speed: 203.576789 samples/sec accuracy=78.340625 loss=0.843377 lr=0.000181 Epoch[181] Batch [0299]/[1880] Speed: 166.808496 samples/sec accuracy=78.338542 loss=0.846665 lr=0.000181 Epoch[181] Batch [0349]/[1880] Speed: 195.870193 samples/sec accuracy=78.254464 loss=0.853283 lr=0.000180 Epoch[181] Batch [0399]/[1880] Speed: 177.377142 samples/sec accuracy=78.306641 loss=0.853305 lr=0.000179 Epoch[181] Batch [0449]/[1880] Speed: 186.822239 samples/sec accuracy=78.244792 loss=0.854171 lr=0.000179 Epoch[181] Batch [0499]/[1880] Speed: 183.177237 samples/sec accuracy=78.195312 loss=0.855034 lr=0.000178 Epoch[181] Batch [0549]/[1880] Speed: 181.473006 samples/sec accuracy=78.197443 loss=0.856196 lr=0.000177 Epoch[181] Batch [0599]/[1880] Speed: 198.435190 samples/sec accuracy=78.263021 loss=0.854164 lr=0.000177 Epoch[181] Batch [0649]/[1880] Speed: 191.699208 samples/sec accuracy=78.200721 loss=0.854823 lr=0.000176 Epoch[181] Batch [0699]/[1880] Speed: 168.015363 samples/sec accuracy=78.107143 loss=0.858820 lr=0.000175 Epoch[181] Batch [0749]/[1880] Speed: 200.339735 samples/sec accuracy=78.063542 loss=0.860538 lr=0.000175 Epoch[181] Batch [0799]/[1880] Speed: 183.288968 samples/sec accuracy=78.041992 loss=0.860916 lr=0.000174 Epoch[181] Batch [0849]/[1880] Speed: 186.946480 samples/sec accuracy=78.022978 loss=0.861612 lr=0.000174 Epoch[181] Batch [0899]/[1880] Speed: 194.266473 samples/sec accuracy=78.016493 loss=0.861727 lr=0.000173 Epoch[181] Batch [0949]/[1880] Speed: 170.021557 samples/sec accuracy=78.016447 loss=0.860133 lr=0.000172 Epoch[181] Batch [0999]/[1880] Speed: 188.809895 samples/sec accuracy=77.996094 loss=0.859684 lr=0.000172 Epoch[181] Batch [1049]/[1880] Speed: 197.565012 samples/sec accuracy=78.023810 loss=0.859317 lr=0.000171 Epoch[181] Batch [1099]/[1880] Speed: 176.262414 samples/sec accuracy=78.026989 loss=0.859397 lr=0.000170 Epoch[181] Batch [1149]/[1880] Speed: 183.575361 samples/sec accuracy=78.032609 loss=0.860204 lr=0.000170 Epoch[181] Batch [1199]/[1880] Speed: 198.486648 samples/sec accuracy=78.029297 loss=0.860897 lr=0.000169 Epoch[181] Batch [1249]/[1880] Speed: 166.616331 samples/sec accuracy=78.012500 loss=0.860531 lr=0.000169 Epoch[181] Batch [1299]/[1880] Speed: 200.467690 samples/sec accuracy=78.006611 loss=0.861658 lr=0.000168 Epoch[181] Batch [1349]/[1880] Speed: 191.236780 samples/sec accuracy=78.009259 loss=0.862065 lr=0.000167 Epoch[181] Batch [1399]/[1880] Speed: 173.201412 samples/sec accuracy=77.995536 loss=0.863382 lr=0.000167 Epoch[181] Batch [1449]/[1880] Speed: 195.261508 samples/sec accuracy=78.000000 loss=0.862874 lr=0.000166 Epoch[181] Batch [1499]/[1880] Speed: 196.825876 samples/sec accuracy=77.974479 loss=0.863711 lr=0.000165 Epoch[181] Batch [1549]/[1880] Speed: 173.023251 samples/sec accuracy=77.957157 loss=0.863600 lr=0.000165 Epoch[181] Batch [1599]/[1880] Speed: 199.913538 samples/sec accuracy=77.977051 loss=0.862661 lr=0.000164 Epoch[181] Batch [1649]/[1880] Speed: 176.733010 samples/sec accuracy=77.953598 loss=0.863127 lr=0.000164 Epoch[181] Batch [1699]/[1880] Speed: 188.626306 samples/sec accuracy=77.954963 loss=0.863084 lr=0.000163 Epoch[181] Batch [1749]/[1880] Speed: 172.697948 samples/sec accuracy=77.954464 loss=0.862889 lr=0.000162 Epoch[181] Batch [1799]/[1880] Speed: 200.845168 samples/sec accuracy=77.968750 loss=0.862629 lr=0.000162 Epoch[181] Batch [1849]/[1880] Speed: 181.441792 samples/sec accuracy=77.994510 loss=0.861440 lr=0.000161 Batch [0049]/[0151]: acc-top1=49.718750 acc-top5=74.109375 Batch [0099]/[0151]: acc-top1=53.507812 acc-top5=75.898438 Batch [0149]/[0151]: acc-top1=52.744792 acc-top5=75.583333 [Epoch 181] training: accuracy=78.001995 loss=0.861423 [Epoch 181] speed: 184 samples/sec time cost: 1418.975889 [Epoch 181] validation: acc-top1=52.690397 acc-top5=75.517384 loss=2.275100 Epoch[182] Batch [0049]/[1880] Speed: 128.526898 samples/sec accuracy=78.046875 loss=0.849604 lr=0.000160 Epoch[182] Batch [0099]/[1880] Speed: 205.393465 samples/sec accuracy=78.421875 loss=0.855448 lr=0.000160 Epoch[182] Batch [0149]/[1880] Speed: 171.896518 samples/sec accuracy=78.312500 loss=0.859891 lr=0.000159 Epoch[182] Batch [0199]/[1880] Speed: 199.852934 samples/sec accuracy=78.625000 loss=0.847293 lr=0.000158 Epoch[182] Batch [0249]/[1880] Speed: 188.556883 samples/sec accuracy=78.562500 loss=0.843282 lr=0.000158 Epoch[182] Batch [0299]/[1880] Speed: 177.302867 samples/sec accuracy=78.343750 loss=0.852380 lr=0.000157 Epoch[182] Batch [0349]/[1880] Speed: 199.510461 samples/sec accuracy=78.272321 loss=0.853806 lr=0.000156 Epoch[182] Batch [0399]/[1880] Speed: 170.836411 samples/sec accuracy=78.246094 loss=0.854358 lr=0.000156 Epoch[182] Batch [0449]/[1880] Speed: 194.726626 samples/sec accuracy=78.227431 loss=0.854743 lr=0.000155 Epoch[182] Batch [0499]/[1880] Speed: 189.674853 samples/sec accuracy=78.237500 loss=0.854575 lr=0.000155 Epoch[182] Batch [0549]/[1880] Speed: 172.722775 samples/sec accuracy=78.211648 loss=0.856422 lr=0.000154 Epoch[182] Batch [0599]/[1880] Speed: 201.440444 samples/sec accuracy=78.229167 loss=0.856310 lr=0.000153 Epoch[182] Batch [0649]/[1880] Speed: 170.602879 samples/sec accuracy=78.253606 loss=0.855844 lr=0.000153 Epoch[182] Batch [0699]/[1880] Speed: 190.683400 samples/sec accuracy=78.206473 loss=0.858322 lr=0.000152 Epoch[182] Batch [0749]/[1880] Speed: 180.296560 samples/sec accuracy=78.223958 loss=0.858170 lr=0.000152 Epoch[182] Batch [0799]/[1880] Speed: 202.657190 samples/sec accuracy=78.215820 loss=0.857613 lr=0.000151 Epoch[182] Batch [0849]/[1880] Speed: 187.282793 samples/sec accuracy=78.220588 loss=0.858262 lr=0.000151 Epoch[182] Batch [0899]/[1880] Speed: 176.021978 samples/sec accuracy=78.217882 loss=0.857814 lr=0.000150 Epoch[182] Batch [0949]/[1880] Speed: 184.974480 samples/sec accuracy=78.199836 loss=0.858591 lr=0.000149 Epoch[182] Batch [0999]/[1880] Speed: 200.194890 samples/sec accuracy=78.219531 loss=0.857459 lr=0.000149 Epoch[182] Batch [1049]/[1880] Speed: 176.623149 samples/sec accuracy=78.188988 loss=0.858084 lr=0.000148 Epoch[182] Batch [1099]/[1880] Speed: 192.642734 samples/sec accuracy=78.245739 loss=0.856572 lr=0.000148 Epoch[182] Batch [1149]/[1880] Speed: 171.715266 samples/sec accuracy=78.269022 loss=0.855007 lr=0.000147 Epoch[182] Batch [1199]/[1880] Speed: 206.980716 samples/sec accuracy=78.282552 loss=0.854526 lr=0.000146 Epoch[182] Batch [1249]/[1880] Speed: 170.884866 samples/sec accuracy=78.274375 loss=0.854549 lr=0.000146 Epoch[182] Batch [1299]/[1880] Speed: 182.680828 samples/sec accuracy=78.288462 loss=0.853826 lr=0.000145 Epoch[182] Batch [1349]/[1880] Speed: 202.486343 samples/sec accuracy=78.284722 loss=0.853192 lr=0.000145 Epoch[182] Batch [1399]/[1880] Speed: 163.736516 samples/sec accuracy=78.283482 loss=0.854366 lr=0.000144 Epoch[182] Batch [1449]/[1880] Speed: 202.755289 samples/sec accuracy=78.276940 loss=0.854869 lr=0.000143 Epoch[182] Batch [1499]/[1880] Speed: 190.711574 samples/sec accuracy=78.279167 loss=0.854109 lr=0.000143 Epoch[182] Batch [1549]/[1880] Speed: 175.355886 samples/sec accuracy=78.263105 loss=0.854878 lr=0.000142 Epoch[182] Batch [1599]/[1880] Speed: 203.754914 samples/sec accuracy=78.269043 loss=0.854174 lr=0.000142 Epoch[182] Batch [1649]/[1880] Speed: 178.848196 samples/sec accuracy=78.242898 loss=0.854981 lr=0.000141 Epoch[182] Batch [1699]/[1880] Speed: 188.701274 samples/sec accuracy=78.251838 loss=0.854157 lr=0.000141 Epoch[182] Batch [1749]/[1880] Speed: 185.910494 samples/sec accuracy=78.247321 loss=0.854340 lr=0.000140 Epoch[182] Batch [1799]/[1880] Speed: 184.436849 samples/sec accuracy=78.260851 loss=0.853915 lr=0.000139 Epoch[182] Batch [1849]/[1880] Speed: 189.778940 samples/sec accuracy=78.252956 loss=0.854303 lr=0.000139 Batch [0049]/[0151]: acc-top1=49.984375 acc-top5=73.953125 Batch [0099]/[0151]: acc-top1=53.617188 acc-top5=75.906250 Batch [0149]/[0151]: acc-top1=52.843750 acc-top5=75.630208 [Epoch 182] training: accuracy=78.250083 loss=0.854384 [Epoch 182] speed: 184 samples/sec time cost: 1418.070818 [Epoch 182] validation: acc-top1=52.799048 acc-top5=75.574296 loss=2.281071 Epoch[183] Batch [0049]/[1880] Speed: 133.078463 samples/sec accuracy=78.203125 loss=0.847601 lr=0.000138 Epoch[183] Batch [0099]/[1880] Speed: 206.161760 samples/sec accuracy=77.976562 loss=0.861380 lr=0.000137 Epoch[183] Batch [0149]/[1880] Speed: 174.572588 samples/sec accuracy=78.000000 loss=0.863747 lr=0.000137 Epoch[183] Batch [0199]/[1880] Speed: 184.454579 samples/sec accuracy=78.171875 loss=0.859797 lr=0.000136 Epoch[183] Batch [0249]/[1880] Speed: 181.784464 samples/sec accuracy=78.025000 loss=0.863284 lr=0.000136 Epoch[183] Batch [0299]/[1880] Speed: 184.740641 samples/sec accuracy=78.101562 loss=0.864140 lr=0.000135 Epoch[183] Batch [0349]/[1880] Speed: 192.114505 samples/sec accuracy=78.191964 loss=0.859475 lr=0.000135 Epoch[183] Batch [0399]/[1880] Speed: 183.728507 samples/sec accuracy=78.156250 loss=0.861785 lr=0.000134 Epoch[183] Batch [0449]/[1880] Speed: 174.285252 samples/sec accuracy=78.168403 loss=0.861090 lr=0.000133 Epoch[183] Batch [0499]/[1880] Speed: 207.197418 samples/sec accuracy=78.215625 loss=0.857882 lr=0.000133 Epoch[183] Batch [0549]/[1880] Speed: 173.856627 samples/sec accuracy=78.159091 loss=0.858985 lr=0.000132 Epoch[183] Batch [0599]/[1880] Speed: 194.782194 samples/sec accuracy=78.126302 loss=0.859889 lr=0.000132 Epoch[183] Batch [0649]/[1880] Speed: 188.449824 samples/sec accuracy=78.163462 loss=0.858352 lr=0.000131 Epoch[183] Batch [0699]/[1880] Speed: 181.910162 samples/sec accuracy=78.120536 loss=0.859725 lr=0.000131 Epoch[183] Batch [0749]/[1880] Speed: 189.369616 samples/sec accuracy=78.144792 loss=0.860657 lr=0.000130 Epoch[183] Batch [0799]/[1880] Speed: 187.951542 samples/sec accuracy=78.144531 loss=0.860506 lr=0.000130 Epoch[183] Batch [0849]/[1880] Speed: 175.200560 samples/sec accuracy=78.121324 loss=0.860931 lr=0.000129 Epoch[183] Batch [0899]/[1880] Speed: 186.925288 samples/sec accuracy=78.163194 loss=0.858831 lr=0.000129 Epoch[183] Batch [0949]/[1880] Speed: 180.251174 samples/sec accuracy=78.120888 loss=0.860611 lr=0.000128 Epoch[183] Batch [0999]/[1880] Speed: 199.335506 samples/sec accuracy=78.125000 loss=0.859991 lr=0.000127 Epoch[183] Batch [1049]/[1880] Speed: 185.060986 samples/sec accuracy=78.133929 loss=0.859318 lr=0.000127 Epoch[183] Batch [1099]/[1880] Speed: 179.656939 samples/sec accuracy=78.120028 loss=0.859786 lr=0.000126 Epoch[183] Batch [1149]/[1880] Speed: 194.749350 samples/sec accuracy=78.119565 loss=0.860530 lr=0.000126 Epoch[183] Batch [1199]/[1880] Speed: 180.241414 samples/sec accuracy=78.115885 loss=0.861083 lr=0.000125 Epoch[183] Batch [1249]/[1880] Speed: 187.211202 samples/sec accuracy=78.138125 loss=0.860228 lr=0.000125 Epoch[183] Batch [1299]/[1880] Speed: 197.857419 samples/sec accuracy=78.120793 loss=0.859823 lr=0.000124 Epoch[183] Batch [1349]/[1880] Speed: 176.919341 samples/sec accuracy=78.151042 loss=0.858769 lr=0.000124 Epoch[183] Batch [1399]/[1880] Speed: 179.497585 samples/sec accuracy=78.163504 loss=0.858365 lr=0.000123 Epoch[183] Batch [1449]/[1880] Speed: 186.269063 samples/sec accuracy=78.174569 loss=0.857847 lr=0.000123 Epoch[183] Batch [1499]/[1880] Speed: 197.739237 samples/sec accuracy=78.169792 loss=0.858124 lr=0.000122 Epoch[183] Batch [1549]/[1880] Speed: 179.099943 samples/sec accuracy=78.161794 loss=0.858738 lr=0.000121 Epoch[183] Batch [1599]/[1880] Speed: 187.281304 samples/sec accuracy=78.165527 loss=0.858470 lr=0.000121 Epoch[183] Batch [1649]/[1880] Speed: 176.057186 samples/sec accuracy=78.166667 loss=0.857894 lr=0.000120 Epoch[183] Batch [1699]/[1880] Speed: 198.145915 samples/sec accuracy=78.183824 loss=0.856766 lr=0.000120 Epoch[183] Batch [1749]/[1880] Speed: 182.401545 samples/sec accuracy=78.194643 loss=0.855984 lr=0.000119 Epoch[183] Batch [1799]/[1880] Speed: 173.505389 samples/sec accuracy=78.198351 loss=0.855349 lr=0.000119 Epoch[183] Batch [1849]/[1880] Speed: 202.336110 samples/sec accuracy=78.220017 loss=0.854718 lr=0.000118 Batch [0049]/[0151]: acc-top1=49.937500 acc-top5=74.031250 Batch [0099]/[0151]: acc-top1=53.562500 acc-top5=76.015625 Batch [0149]/[0151]: acc-top1=52.807292 acc-top5=75.666667 [Epoch 183] training: accuracy=78.202294 loss=0.854784 [Epoch 183] speed: 184 samples/sec time cost: 1416.425716 [Epoch 183] validation: acc-top1=52.762831 acc-top5=75.610513 loss=2.277046 Epoch[184] Batch [0049]/[1880] Speed: 130.398551 samples/sec accuracy=78.437500 loss=0.862268 lr=0.000117 Epoch[184] Batch [0099]/[1880] Speed: 206.509934 samples/sec accuracy=78.585938 loss=0.851041 lr=0.000117 Epoch[184] Batch [0149]/[1880] Speed: 177.856101 samples/sec accuracy=78.458333 loss=0.849239 lr=0.000116 Epoch[184] Batch [0199]/[1880] Speed: 193.609872 samples/sec accuracy=78.390625 loss=0.852219 lr=0.000116 Epoch[184] Batch [0249]/[1880] Speed: 172.269248 samples/sec accuracy=78.446875 loss=0.849964 lr=0.000115 Epoch[184] Batch [0299]/[1880] Speed: 203.237098 samples/sec accuracy=78.236979 loss=0.860513 lr=0.000115 Epoch[184] Batch [0349]/[1880] Speed: 181.749043 samples/sec accuracy=78.339286 loss=0.857916 lr=0.000114 Epoch[184] Batch [0399]/[1880] Speed: 176.458599 samples/sec accuracy=78.253906 loss=0.859367 lr=0.000114 Epoch[184] Batch [0449]/[1880] Speed: 207.984274 samples/sec accuracy=78.293403 loss=0.856885 lr=0.000113 Epoch[184] Batch [0499]/[1880] Speed: 182.631909 samples/sec accuracy=78.360938 loss=0.853955 lr=0.000113 Epoch[184] Batch [0549]/[1880] Speed: 178.663159 samples/sec accuracy=78.387784 loss=0.851342 lr=0.000112 Epoch[184] Batch [0599]/[1880] Speed: 188.616784 samples/sec accuracy=78.388021 loss=0.851911 lr=0.000112 Epoch[184] Batch [0649]/[1880] Speed: 195.295757 samples/sec accuracy=78.324519 loss=0.851447 lr=0.000111 Epoch[184] Batch [0699]/[1880] Speed: 171.728221 samples/sec accuracy=78.351562 loss=0.850035 lr=0.000111 Epoch[184] Batch [0749]/[1880] Speed: 197.254192 samples/sec accuracy=78.320833 loss=0.850125 lr=0.000110 Epoch[184] Batch [0799]/[1880] Speed: 176.979741 samples/sec accuracy=78.286133 loss=0.850130 lr=0.000110 Epoch[184] Batch [0849]/[1880] Speed: 190.900477 samples/sec accuracy=78.283088 loss=0.850526 lr=0.000109 Epoch[184] Batch [0899]/[1880] Speed: 179.752654 samples/sec accuracy=78.299479 loss=0.848971 lr=0.000109 Epoch[184] Batch [0949]/[1880] Speed: 193.793626 samples/sec accuracy=78.325658 loss=0.847801 lr=0.000108 Epoch[184] Batch [0999]/[1880] Speed: 198.422863 samples/sec accuracy=78.309375 loss=0.847539 lr=0.000108 Epoch[184] Batch [1049]/[1880] Speed: 171.928762 samples/sec accuracy=78.321429 loss=0.847326 lr=0.000107 Epoch[184] Batch [1099]/[1880] Speed: 199.743399 samples/sec accuracy=78.296165 loss=0.848431 lr=0.000107 Epoch[184] Batch [1149]/[1880] Speed: 165.565831 samples/sec accuracy=78.268342 loss=0.849219 lr=0.000106 Epoch[184] Batch [1199]/[1880] Speed: 205.693361 samples/sec accuracy=78.234375 loss=0.850467 lr=0.000106 Epoch[184] Batch [1249]/[1880] Speed: 191.461989 samples/sec accuracy=78.230000 loss=0.850550 lr=0.000105 Epoch[184] Batch [1299]/[1880] Speed: 168.829922 samples/sec accuracy=78.207933 loss=0.851295 lr=0.000105 Epoch[184] Batch [1349]/[1880] Speed: 202.359483 samples/sec accuracy=78.217014 loss=0.850436 lr=0.000104 Epoch[184] Batch [1399]/[1880] Speed: 169.592288 samples/sec accuracy=78.208705 loss=0.850802 lr=0.000104 Epoch[184] Batch [1449]/[1880] Speed: 197.783626 samples/sec accuracy=78.214440 loss=0.851271 lr=0.000103 Epoch[184] Batch [1499]/[1880] Speed: 190.024522 samples/sec accuracy=78.204167 loss=0.851605 lr=0.000103 Epoch[184] Batch [1549]/[1880] Speed: 176.664562 samples/sec accuracy=78.203629 loss=0.851247 lr=0.000102 Epoch[184] Batch [1599]/[1880] Speed: 197.741887 samples/sec accuracy=78.196777 loss=0.851228 lr=0.000102 Epoch[184] Batch [1649]/[1880] Speed: 174.870002 samples/sec accuracy=78.193182 loss=0.851651 lr=0.000101 Epoch[184] Batch [1699]/[1880] Speed: 188.222469 samples/sec accuracy=78.188879 loss=0.852109 lr=0.000101 Epoch[184] Batch [1749]/[1880] Speed: 186.533978 samples/sec accuracy=78.212946 loss=0.851078 lr=0.000100 Epoch[184] Batch [1799]/[1880] Speed: 181.152695 samples/sec accuracy=78.227865 loss=0.850343 lr=0.000100 Epoch[184] Batch [1849]/[1880] Speed: 187.516945 samples/sec accuracy=78.221284 loss=0.850685 lr=0.000099 Batch [0049]/[0151]: acc-top1=49.796875 acc-top5=74.109375 Batch [0099]/[0151]: acc-top1=53.468750 acc-top5=75.960938 Batch [0149]/[0151]: acc-top1=52.718750 acc-top5=75.692708 [Epoch 184] training: accuracy=78.203125 loss=0.851403 [Epoch 184] speed: 185 samples/sec time cost: 1414.614898 [Epoch 184] validation: acc-top1=52.674876 acc-top5=75.636382 loss=2.277277 Epoch[185] Batch [0049]/[1880] Speed: 137.251997 samples/sec accuracy=78.953125 loss=0.837622 lr=0.000099 Epoch[185] Batch [0099]/[1880] Speed: 176.314972 samples/sec accuracy=78.335938 loss=0.852376 lr=0.000098 Epoch[185] Batch [0149]/[1880] Speed: 190.869397 samples/sec accuracy=78.234375 loss=0.853886 lr=0.000098 Epoch[185] Batch [0199]/[1880] Speed: 188.682599 samples/sec accuracy=78.214844 loss=0.855465 lr=0.000097 Epoch[185] Batch [0249]/[1880] Speed: 177.560834 samples/sec accuracy=78.153125 loss=0.861041 lr=0.000097 Epoch[185] Batch [0299]/[1880] Speed: 200.329974 samples/sec accuracy=78.239583 loss=0.861220 lr=0.000096 Epoch[185] Batch [0349]/[1880] Speed: 171.597004 samples/sec accuracy=78.256696 loss=0.860171 lr=0.000096 Epoch[185] Batch [0399]/[1880] Speed: 197.228622 samples/sec accuracy=78.250000 loss=0.857389 lr=0.000095 Epoch[185] Batch [0449]/[1880] Speed: 184.719328 samples/sec accuracy=78.187500 loss=0.856969 lr=0.000095 Epoch[185] Batch [0499]/[1880] Speed: 183.256539 samples/sec accuracy=78.190625 loss=0.856386 lr=0.000094 Epoch[185] Batch [0549]/[1880] Speed: 177.347306 samples/sec accuracy=78.275568 loss=0.853136 lr=0.000094 Epoch[185] Batch [0599]/[1880] Speed: 195.332303 samples/sec accuracy=78.338542 loss=0.851058 lr=0.000093 Epoch[185] Batch [0649]/[1880] Speed: 188.677578 samples/sec accuracy=78.348558 loss=0.850367 lr=0.000093 Epoch[185] Batch [0699]/[1880] Speed: 186.084140 samples/sec accuracy=78.358259 loss=0.850477 lr=0.000092 Epoch[185] Batch [0749]/[1880] Speed: 178.698688 samples/sec accuracy=78.376042 loss=0.848860 lr=0.000092 Epoch[185] Batch [0799]/[1880] Speed: 191.398266 samples/sec accuracy=78.407227 loss=0.848196 lr=0.000092 Epoch[185] Batch [0849]/[1880] Speed: 191.669987 samples/sec accuracy=78.425551 loss=0.847203 lr=0.000091 Epoch[185] Batch [0899]/[1880] Speed: 171.142173 samples/sec accuracy=78.473958 loss=0.845826 lr=0.000091 Epoch[185] Batch [0949]/[1880] Speed: 198.676704 samples/sec accuracy=78.490954 loss=0.845176 lr=0.000090 Epoch[185] Batch [0999]/[1880] Speed: 178.486871 samples/sec accuracy=78.450781 loss=0.845800 lr=0.000090 Epoch[185] Batch [1049]/[1880] Speed: 195.240575 samples/sec accuracy=78.454613 loss=0.846393 lr=0.000089 Epoch[185] Batch [1099]/[1880] Speed: 188.465988 samples/sec accuracy=78.434659 loss=0.846566 lr=0.000089 Epoch[185] Batch [1149]/[1880] Speed: 170.603711 samples/sec accuracy=78.436821 loss=0.847732 lr=0.000088 Epoch[185] Batch [1199]/[1880] Speed: 205.266424 samples/sec accuracy=78.440755 loss=0.847572 lr=0.000088 Epoch[185] Batch [1249]/[1880] Speed: 183.737686 samples/sec accuracy=78.399375 loss=0.848656 lr=0.000087 Epoch[185] Batch [1299]/[1880] Speed: 180.697754 samples/sec accuracy=78.400240 loss=0.848305 lr=0.000087 Epoch[185] Batch [1349]/[1880] Speed: 197.124151 samples/sec accuracy=78.409722 loss=0.847102 lr=0.000087 Epoch[185] Batch [1399]/[1880] Speed: 170.794203 samples/sec accuracy=78.431920 loss=0.846293 lr=0.000086 Epoch[185] Batch [1449]/[1880] Speed: 193.567972 samples/sec accuracy=78.422953 loss=0.845926 lr=0.000086 Epoch[185] Batch [1499]/[1880] Speed: 199.683783 samples/sec accuracy=78.411979 loss=0.846530 lr=0.000085 Epoch[185] Batch [1549]/[1880] Speed: 165.085736 samples/sec accuracy=78.391633 loss=0.847516 lr=0.000085 Epoch[185] Batch [1599]/[1880] Speed: 207.700947 samples/sec accuracy=78.401855 loss=0.847689 lr=0.000084 Epoch[185] Batch [1649]/[1880] Speed: 172.635373 samples/sec accuracy=78.406723 loss=0.847001 lr=0.000084 Epoch[185] Batch [1699]/[1880] Speed: 189.080912 samples/sec accuracy=78.390625 loss=0.847813 lr=0.000083 Epoch[185] Batch [1749]/[1880] Speed: 188.393182 samples/sec accuracy=78.393750 loss=0.847736 lr=0.000083 Epoch[185] Batch [1799]/[1880] Speed: 179.734169 samples/sec accuracy=78.405382 loss=0.847078 lr=0.000083 Epoch[185] Batch [1849]/[1880] Speed: 200.666434 samples/sec accuracy=78.416807 loss=0.846281 lr=0.000082 Batch [0049]/[0151]: acc-top1=49.796875 acc-top5=74.140625 Batch [0099]/[0151]: acc-top1=53.593750 acc-top5=76.101562 Batch [0149]/[0151]: acc-top1=52.843750 acc-top5=75.723958 [Epoch 185] training: accuracy=78.417969 loss=0.846260 [Epoch 185] speed: 184 samples/sec time cost: 1416.079956 [Epoch 185] validation: acc-top1=52.799048 acc-top5=75.662252 loss=2.284730 Epoch[186] Batch [0049]/[1879] Speed: 133.097655 samples/sec accuracy=78.593750 loss=0.850167 lr=0.000081 Epoch[186] Batch [0099]/[1879] Speed: 188.607203 samples/sec accuracy=78.484375 loss=0.850441 lr=0.000081 Epoch[186] Batch [0149]/[1879] Speed: 199.546336 samples/sec accuracy=78.614583 loss=0.857143 lr=0.000081 Epoch[186] Batch [0199]/[1879] Speed: 163.083912 samples/sec accuracy=78.503906 loss=0.853908 lr=0.000080 Epoch[186] Batch [0249]/[1879] Speed: 208.479299 samples/sec accuracy=78.696875 loss=0.845120 lr=0.000080 Epoch[186] Batch [0299]/[1879] Speed: 186.064866 samples/sec accuracy=78.812500 loss=0.844572 lr=0.000079 Epoch[186] Batch [0349]/[1879] Speed: 180.493090 samples/sec accuracy=78.924107 loss=0.837202 lr=0.000079 Epoch[186] Batch [0399]/[1879] Speed: 198.382370 samples/sec accuracy=78.839844 loss=0.837344 lr=0.000078 Epoch[186] Batch [0449]/[1879] Speed: 180.655689 samples/sec accuracy=78.838542 loss=0.835703 lr=0.000078 Epoch[186] Batch [0499]/[1879] Speed: 184.120300 samples/sec accuracy=78.856250 loss=0.836854 lr=0.000077 Epoch[186] Batch [0549]/[1879] Speed: 189.226841 samples/sec accuracy=78.762784 loss=0.838634 lr=0.000077 Epoch[186] Batch [0599]/[1879] Speed: 185.365995 samples/sec accuracy=78.753906 loss=0.839348 lr=0.000077 Epoch[186] Batch [0649]/[1879] Speed: 182.899914 samples/sec accuracy=78.711538 loss=0.838425 lr=0.000076 Epoch[186] Batch [0699]/[1879] Speed: 196.161935 samples/sec accuracy=78.609375 loss=0.840367 lr=0.000076 Epoch[186] Batch [0749]/[1879] Speed: 178.047456 samples/sec accuracy=78.572917 loss=0.842120 lr=0.000075 Epoch[186] Batch [0799]/[1879] Speed: 191.426279 samples/sec accuracy=78.570312 loss=0.841891 lr=0.000075 Epoch[186] Batch [0849]/[1879] Speed: 187.548108 samples/sec accuracy=78.526654 loss=0.844156 lr=0.000075 Epoch[186] Batch 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accuracy=78.336227 loss=0.850020 lr=0.000070 Epoch[186] Batch [1399]/[1879] Speed: 182.834784 samples/sec accuracy=78.327567 loss=0.849838 lr=0.000070 Epoch[186] Batch [1449]/[1879] Speed: 182.765056 samples/sec accuracy=78.345905 loss=0.849301 lr=0.000070 Epoch[186] Batch [1499]/[1879] Speed: 188.893135 samples/sec accuracy=78.369792 loss=0.848742 lr=0.000069 Epoch[186] Batch [1549]/[1879] Speed: 197.086369 samples/sec accuracy=78.369960 loss=0.848467 lr=0.000069 Epoch[186] Batch [1599]/[1879] Speed: 176.682021 samples/sec accuracy=78.396973 loss=0.847744 lr=0.000068 Epoch[186] Batch [1649]/[1879] Speed: 179.565570 samples/sec accuracy=78.394886 loss=0.847341 lr=0.000068 Epoch[186] Batch [1699]/[1879] Speed: 198.751668 samples/sec accuracy=78.386029 loss=0.847470 lr=0.000068 Epoch[186] Batch [1749]/[1879] Speed: 182.492361 samples/sec accuracy=78.400893 loss=0.847119 lr=0.000067 Epoch[186] Batch [1799]/[1879] Speed: 184.059658 samples/sec accuracy=78.401476 loss=0.847120 lr=0.000067 Epoch[186] Batch [1849]/[1879] Speed: 193.278161 samples/sec accuracy=78.388091 loss=0.848043 lr=0.000066 Batch [0049]/[0151]: acc-top1=49.796875 acc-top5=74.031250 Batch [0099]/[0151]: acc-top1=53.554688 acc-top5=75.976562 Batch [0149]/[0151]: acc-top1=52.885417 acc-top5=75.614583 [Epoch 186] training: accuracy=78.382368 loss=0.848429 [Epoch 186] speed: 185 samples/sec time cost: 1413.692152 [Epoch 186] validation: acc-top1=52.840439 acc-top5=75.553601 loss=2.278928 Epoch[187] Batch [0049]/[1880] Speed: 131.220237 samples/sec accuracy=78.312500 loss=0.841133 lr=0.000066 Epoch[187] Batch [0099]/[1880] Speed: 204.587198 samples/sec accuracy=78.281250 loss=0.855798 lr=0.000065 Epoch[187] Batch [0149]/[1880] Speed: 168.798501 samples/sec accuracy=78.208333 loss=0.849897 lr=0.000065 Epoch[187] Batch [0199]/[1880] Speed: 199.536037 samples/sec accuracy=78.203125 loss=0.852484 lr=0.000065 Epoch[187] Batch [0249]/[1880] Speed: 175.192527 samples/sec accuracy=78.371875 loss=0.845347 lr=0.000064 Epoch[187] Batch [0299]/[1880] Speed: 197.437925 samples/sec accuracy=78.330729 loss=0.846935 lr=0.000064 Epoch[187] Batch [0349]/[1880] Speed: 187.009193 samples/sec accuracy=78.283482 loss=0.848765 lr=0.000063 Epoch[187] Batch [0399]/[1880] Speed: 174.898024 samples/sec accuracy=78.236328 loss=0.853923 lr=0.000063 Epoch[187] Batch [0449]/[1880] Speed: 193.301152 samples/sec accuracy=78.315972 loss=0.849455 lr=0.000063 Epoch[187] Batch [0499]/[1880] Speed: 196.564250 samples/sec accuracy=78.306250 loss=0.848654 lr=0.000062 Epoch[187] Batch [0549]/[1880] Speed: 159.304810 samples/sec accuracy=78.255682 loss=0.849168 lr=0.000062 Epoch[187] Batch [0599]/[1880] Speed: 207.626388 samples/sec accuracy=78.289062 loss=0.847822 lr=0.000062 Epoch[187] Batch [0649]/[1880] Speed: 181.242734 samples/sec accuracy=78.287260 loss=0.847877 lr=0.000061 Epoch[187] Batch [0699]/[1880] Speed: 182.006054 samples/sec accuracy=78.347098 loss=0.845575 lr=0.000061 Epoch[187] Batch [0749]/[1880] Speed: 198.562861 samples/sec accuracy=78.335417 loss=0.847004 lr=0.000060 Epoch[187] Batch [0799]/[1880] Speed: 169.754354 samples/sec accuracy=78.386719 loss=0.846215 lr=0.000060 Epoch[187] Batch [0849]/[1880] Speed: 205.221632 samples/sec accuracy=78.375000 loss=0.848309 lr=0.000060 Epoch[187] Batch [0899]/[1880] Speed: 171.809098 samples/sec accuracy=78.333333 loss=0.848292 lr=0.000059 Epoch[187] Batch [0949]/[1880] Speed: 195.702696 samples/sec accuracy=78.309211 loss=0.849074 lr=0.000059 Epoch[187] Batch [0999]/[1880] Speed: 176.552232 samples/sec accuracy=78.296094 loss=0.848971 lr=0.000059 Epoch[187] Batch [1049]/[1880] Speed: 195.315206 samples/sec accuracy=78.300595 loss=0.849200 lr=0.000058 Epoch[187] Batch [1099]/[1880] Speed: 193.210871 samples/sec accuracy=78.317472 loss=0.848670 lr=0.000058 Epoch[187] Batch [1149]/[1880] Speed: 171.574072 samples/sec accuracy=78.322011 loss=0.848516 lr=0.000057 Epoch[187] Batch [1199]/[1880] Speed: 188.951711 samples/sec accuracy=78.307943 loss=0.849946 lr=0.000057 Epoch[187] Batch [1249]/[1880] Speed: 187.702674 samples/sec accuracy=78.291875 loss=0.850484 lr=0.000057 Epoch[187] Batch [1299]/[1880] Speed: 180.835185 samples/sec accuracy=78.301082 loss=0.849598 lr=0.000056 Epoch[187] Batch [1349]/[1880] Speed: 191.063812 samples/sec accuracy=78.316551 loss=0.849074 lr=0.000056 Epoch[187] Batch [1399]/[1880] Speed: 183.116703 samples/sec accuracy=78.335379 loss=0.848958 lr=0.000056 Epoch[187] Batch [1449]/[1880] Speed: 188.054771 samples/sec accuracy=78.353987 loss=0.848116 lr=0.000055 Epoch[187] Batch [1499]/[1880] Speed: 192.783055 samples/sec accuracy=78.349479 loss=0.847529 lr=0.000055 Epoch[187] Batch [1549]/[1880] Speed: 169.174271 samples/sec accuracy=78.338710 loss=0.847988 lr=0.000055 Epoch[187] Batch [1599]/[1880] Speed: 203.669631 samples/sec accuracy=78.320801 loss=0.848401 lr=0.000054 Epoch[187] Batch [1649]/[1880] Speed: 179.820093 samples/sec accuracy=78.354167 loss=0.847817 lr=0.000054 Epoch[187] Batch [1699]/[1880] Speed: 192.275891 samples/sec accuracy=78.344669 loss=0.848117 lr=0.000053 Epoch[187] Batch [1749]/[1880] Speed: 177.750106 samples/sec accuracy=78.318304 loss=0.848949 lr=0.000053 Epoch[187] Batch [1799]/[1880] Speed: 185.884378 samples/sec accuracy=78.343316 loss=0.848325 lr=0.000053 Epoch[187] Batch [1849]/[1880] Speed: 188.482317 samples/sec accuracy=78.339949 loss=0.848141 lr=0.000052 Batch [0049]/[0151]: acc-top1=49.812500 acc-top5=74.296875 Batch [0099]/[0151]: acc-top1=53.562500 acc-top5=76.062500 Batch [0149]/[0151]: acc-top1=52.838542 acc-top5=75.796875 [Epoch 187] training: accuracy=78.349817 loss=0.847663 [Epoch 187] speed: 184 samples/sec time cost: 1418.755555 [Epoch 187] validation: acc-top1=52.788700 acc-top5=75.750207 loss=2.271186 Epoch[188] Batch [0049]/[1880] Speed: 138.373857 samples/sec accuracy=78.812500 loss=0.836374 lr=0.000052 Epoch[188] Batch [0099]/[1880] Speed: 175.871472 samples/sec accuracy=78.476562 loss=0.851084 lr=0.000051 Epoch[188] Batch [0149]/[1880] Speed: 185.548711 samples/sec accuracy=78.609375 loss=0.837684 lr=0.000051 Epoch[188] Batch [0199]/[1880] Speed: 205.495786 samples/sec accuracy=78.558594 loss=0.834995 lr=0.000051 Epoch[188] Batch [0249]/[1880] Speed: 171.084053 samples/sec accuracy=78.565625 loss=0.835591 lr=0.000050 Epoch[188] Batch [0299]/[1880] Speed: 198.073326 samples/sec accuracy=78.453125 loss=0.843991 lr=0.000050 Epoch[188] Batch [0349]/[1880] Speed: 171.426097 samples/sec accuracy=78.287946 loss=0.847939 lr=0.000050 Epoch[188] Batch [0399]/[1880] Speed: 192.838274 samples/sec accuracy=78.283203 loss=0.848137 lr=0.000049 Epoch[188] Batch [0449]/[1880] Speed: 195.134737 samples/sec accuracy=78.274306 loss=0.848821 lr=0.000049 Epoch[188] Batch [0499]/[1880] Speed: 173.295685 samples/sec accuracy=78.275000 loss=0.849446 lr=0.000049 Epoch[188] Batch [0549]/[1880] Speed: 192.729071 samples/sec accuracy=78.299716 loss=0.850196 lr=0.000048 Epoch[188] Batch [0599]/[1880] Speed: 194.946167 samples/sec accuracy=78.285156 loss=0.851066 lr=0.000048 Epoch[188] Batch [0649]/[1880] Speed: 183.531695 samples/sec accuracy=78.349760 loss=0.848418 lr=0.000048 Epoch[188] Batch [0699]/[1880] Speed: 174.263908 samples/sec accuracy=78.354911 loss=0.847450 lr=0.000047 Epoch[188] Batch [0749]/[1880] Speed: 198.267026 samples/sec accuracy=78.329167 loss=0.848465 lr=0.000047 Epoch[188] Batch [0799]/[1880] Speed: 164.868049 samples/sec accuracy=78.322266 loss=0.849288 lr=0.000047 Epoch[188] Batch [0849]/[1880] Speed: 199.037647 samples/sec accuracy=78.348346 loss=0.847873 lr=0.000046 Epoch[188] Batch [0899]/[1880] Speed: 199.312856 samples/sec accuracy=78.376736 loss=0.848118 lr=0.000046 Epoch[188] Batch [0949]/[1880] Speed: 182.753392 samples/sec accuracy=78.375822 loss=0.847326 lr=0.000046 Epoch[188] Batch [0999]/[1880] Speed: 182.216443 samples/sec accuracy=78.387500 loss=0.847824 lr=0.000045 Epoch[188] Batch [1049]/[1880] Speed: 188.996672 samples/sec accuracy=78.351190 loss=0.849494 lr=0.000045 Epoch[188] Batch [1099]/[1880] Speed: 180.765621 samples/sec accuracy=78.340909 loss=0.848592 lr=0.000045 Epoch[188] Batch [1149]/[1880] Speed: 189.409388 samples/sec accuracy=78.324049 loss=0.848755 lr=0.000044 Epoch[188] Batch [1199]/[1880] Speed: 177.641998 samples/sec accuracy=78.302083 loss=0.849210 lr=0.000044 Epoch[188] Batch [1249]/[1880] Speed: 182.729507 samples/sec accuracy=78.342500 loss=0.848826 lr=0.000044 Epoch[188] Batch [1299]/[1880] Speed: 207.626129 samples/sec accuracy=78.353966 loss=0.848002 lr=0.000043 Epoch[188] Batch [1349]/[1880] Speed: 169.413755 samples/sec accuracy=78.358218 loss=0.847924 lr=0.000043 Epoch[188] Batch [1399]/[1880] Speed: 195.441457 samples/sec accuracy=78.359375 loss=0.848041 lr=0.000043 Epoch[188] Batch [1449]/[1880] Speed: 183.899027 samples/sec accuracy=78.363685 loss=0.847984 lr=0.000043 Epoch[188] Batch [1499]/[1880] Speed: 184.278705 samples/sec accuracy=78.371875 loss=0.847670 lr=0.000042 Epoch[188] Batch [1549]/[1880] Speed: 188.278740 samples/sec accuracy=78.403226 loss=0.846144 lr=0.000042 Epoch[188] Batch [1599]/[1880] Speed: 187.265363 samples/sec accuracy=78.386719 loss=0.846289 lr=0.000042 Epoch[188] Batch [1649]/[1880] Speed: 184.462554 samples/sec accuracy=78.396780 loss=0.846047 lr=0.000041 Epoch[188] Batch [1699]/[1880] Speed: 196.385612 samples/sec accuracy=78.412684 loss=0.845813 lr=0.000041 Epoch[188] Batch [1749]/[1880] Speed: 171.976923 samples/sec accuracy=78.397321 loss=0.846460 lr=0.000041 Epoch[188] Batch [1799]/[1880] Speed: 198.831766 samples/sec accuracy=78.406684 loss=0.846190 lr=0.000040 Epoch[188] Batch [1849]/[1880] Speed: 175.962067 samples/sec accuracy=78.398649 loss=0.846352 lr=0.000040 Batch [0049]/[0151]: acc-top1=49.937500 acc-top5=73.984375 Batch [0099]/[0151]: acc-top1=53.437500 acc-top5=76.000000 Batch [0149]/[0151]: acc-top1=52.703125 acc-top5=75.656250 [Epoch 188] training: accuracy=78.411320 loss=0.845810 [Epoch 188] speed: 184 samples/sec time cost: 1416.117715 [Epoch 188] validation: acc-top1=52.659354 acc-top5=75.584644 loss=2.278599 Epoch[189] Batch [0049]/[1880] Speed: 132.352184 samples/sec accuracy=79.437500 loss=0.811106 lr=0.000040 Epoch[189] Batch [0099]/[1880] Speed: 196.575524 samples/sec accuracy=79.468750 loss=0.805179 lr=0.000039 Epoch[189] Batch [0149]/[1880] Speed: 178.508504 samples/sec accuracy=79.229167 loss=0.817666 lr=0.000039 Epoch[189] Batch [0199]/[1880] Speed: 193.726016 samples/sec accuracy=78.968750 loss=0.823452 lr=0.000039 Epoch[189] Batch [0249]/[1880] Speed: 192.573211 samples/sec accuracy=78.837500 loss=0.829975 lr=0.000038 Epoch[189] Batch [0299]/[1880] Speed: 165.718243 samples/sec accuracy=78.679688 loss=0.837001 lr=0.000038 Epoch[189] Batch [0349]/[1880] Speed: 195.409500 samples/sec accuracy=78.595982 loss=0.838808 lr=0.000038 Epoch[189] Batch [0399]/[1880] Speed: 190.908597 samples/sec accuracy=78.667969 loss=0.836649 lr=0.000037 Epoch[189] Batch [0449]/[1880] Speed: 178.153917 samples/sec accuracy=78.697917 loss=0.835942 lr=0.000037 Epoch[189] Batch [0499]/[1880] Speed: 190.973374 samples/sec accuracy=78.660938 loss=0.838642 lr=0.000037 Epoch[189] Batch [0549]/[1880] Speed: 177.397625 samples/sec accuracy=78.653409 loss=0.839321 lr=0.000037 Epoch[189] Batch [0599]/[1880] Speed: 186.592208 samples/sec accuracy=78.604167 loss=0.842834 lr=0.000036 Epoch[189] Batch [0649]/[1880] Speed: 203.786133 samples/sec accuracy=78.593750 loss=0.842722 lr=0.000036 Epoch[189] Batch [0699]/[1880] Speed: 167.971243 samples/sec accuracy=78.564732 loss=0.844258 lr=0.000036 Epoch[189] Batch [0749]/[1880] Speed: 193.465266 samples/sec accuracy=78.557292 loss=0.843659 lr=0.000035 Epoch[189] Batch [0799]/[1880] Speed: 171.430853 samples/sec accuracy=78.599609 loss=0.843469 lr=0.000035 Epoch[189] Batch [0849]/[1880] Speed: 194.783725 samples/sec accuracy=78.666360 loss=0.841348 lr=0.000035 Epoch[189] Batch [0899]/[1880] Speed: 201.582008 samples/sec accuracy=78.679688 loss=0.842176 lr=0.000035 Epoch[189] Batch [0949]/[1880] Speed: 163.275849 samples/sec accuracy=78.643914 loss=0.842566 lr=0.000034 Epoch[189] Batch [0999]/[1880] Speed: 207.798599 samples/sec accuracy=78.679688 loss=0.841262 lr=0.000034 Epoch[189] Batch [1049]/[1880] Speed: 181.210774 samples/sec accuracy=78.661458 loss=0.841955 lr=0.000034 Epoch[189] Batch [1099]/[1880] Speed: 185.649686 samples/sec accuracy=78.637074 loss=0.841836 lr=0.000033 Epoch[189] Batch [1149]/[1880] Speed: 183.188185 samples/sec accuracy=78.635190 loss=0.840875 lr=0.000033 Epoch[189] Batch [1199]/[1880] Speed: 171.262799 samples/sec accuracy=78.656901 loss=0.839934 lr=0.000033 Epoch[189] Batch [1249]/[1880] Speed: 199.934069 samples/sec accuracy=78.648750 loss=0.840131 lr=0.000033 Epoch[189] Batch [1299]/[1880] Speed: 184.552323 samples/sec accuracy=78.667067 loss=0.839542 lr=0.000032 Epoch[189] Batch [1349]/[1880] Speed: 183.371027 samples/sec accuracy=78.645255 loss=0.840427 lr=0.000032 Epoch[189] Batch [1399]/[1880] Speed: 200.042667 samples/sec accuracy=78.641183 loss=0.839554 lr=0.000032 Epoch[189] Batch [1449]/[1880] Speed: 165.630801 samples/sec accuracy=78.675108 loss=0.839149 lr=0.000031 Epoch[189] Batch [1499]/[1880] Speed: 203.275257 samples/sec accuracy=78.676042 loss=0.839792 lr=0.000031 Epoch[189] Batch [1549]/[1880] Speed: 189.272652 samples/sec accuracy=78.684476 loss=0.839060 lr=0.000031 Epoch[189] Batch [1599]/[1880] Speed: 173.322915 samples/sec accuracy=78.661133 loss=0.839888 lr=0.000031 Epoch[189] Batch [1649]/[1880] Speed: 191.968373 samples/sec accuracy=78.658144 loss=0.840613 lr=0.000030 Epoch[189] Batch [1699]/[1880] Speed: 182.336355 samples/sec accuracy=78.633732 loss=0.841945 lr=0.000030 Epoch[189] Batch [1749]/[1880] Speed: 190.527301 samples/sec accuracy=78.615625 loss=0.842257 lr=0.000030 Epoch[189] Batch [1799]/[1880] Speed: 195.927154 samples/sec accuracy=78.635417 loss=0.841634 lr=0.000030 Epoch[189] Batch [1849]/[1880] Speed: 179.803269 samples/sec accuracy=78.644426 loss=0.841250 lr=0.000029 Batch [0049]/[0151]: acc-top1=49.890625 acc-top5=74.125000 Batch [0099]/[0151]: acc-top1=53.523438 acc-top5=76.046875 Batch [0149]/[0151]: acc-top1=52.776042 acc-top5=75.682292 [Epoch 189] training: accuracy=78.629904 loss=0.841872 [Epoch 189] speed: 184 samples/sec time cost: 1418.067572 [Epoch 189] validation: acc-top1=52.726614 acc-top5=75.620861 loss=2.275745 Epoch[190] Batch [0049]/[1880] Speed: 137.347706 samples/sec accuracy=77.015625 loss=0.881291 lr=0.000029 Epoch[190] Batch [0099]/[1880] Speed: 181.234728 samples/sec accuracy=78.093750 loss=0.850590 lr=0.000029 Epoch[190] Batch [0149]/[1880] Speed: 199.735788 samples/sec accuracy=78.135417 loss=0.853554 lr=0.000028 Epoch[190] Batch [0199]/[1880] Speed: 166.297807 samples/sec accuracy=78.082031 loss=0.855217 lr=0.000028 Epoch[190] Batch [0249]/[1880] Speed: 203.028886 samples/sec accuracy=78.209375 loss=0.849162 lr=0.000028 Epoch[190] Batch [0299]/[1880] Speed: 169.322559 samples/sec accuracy=78.148438 loss=0.850582 lr=0.000028 Epoch[190] Batch [0349]/[1880] Speed: 202.556886 samples/sec accuracy=78.238839 loss=0.850836 lr=0.000027 Epoch[190] Batch [0399]/[1880] Speed: 197.292556 samples/sec accuracy=78.212891 loss=0.852740 lr=0.000027 Epoch[190] Batch [0449]/[1880] Speed: 172.541924 samples/sec accuracy=78.281250 loss=0.850188 lr=0.000027 Epoch[190] Batch [0499]/[1880] Speed: 196.286282 samples/sec accuracy=78.325000 loss=0.850476 lr=0.000027 Epoch[190] Batch [0549]/[1880] Speed: 166.579502 samples/sec accuracy=78.335227 loss=0.849281 lr=0.000026 Epoch[190] Batch [0599]/[1880] Speed: 199.736881 samples/sec accuracy=78.334635 loss=0.849199 lr=0.000026 Epoch[190] Batch [0649]/[1880] Speed: 197.673879 samples/sec accuracy=78.326923 loss=0.848618 lr=0.000026 Epoch[190] Batch [0699]/[1880] Speed: 169.218260 samples/sec accuracy=78.303571 loss=0.849064 lr=0.000026 Epoch[190] Batch [0749]/[1880] Speed: 195.775602 samples/sec accuracy=78.315625 loss=0.849264 lr=0.000025 Epoch[190] Batch [0799]/[1880] Speed: 169.618190 samples/sec accuracy=78.331055 loss=0.847534 lr=0.000025 Epoch[190] Batch [0849]/[1880] Speed: 202.326209 samples/sec accuracy=78.351103 loss=0.847051 lr=0.000025 Epoch[190] Batch [0899]/[1880] Speed: 191.080452 samples/sec accuracy=78.310764 loss=0.849068 lr=0.000025 Epoch[190] Batch [0949]/[1880] Speed: 172.962223 samples/sec accuracy=78.311678 loss=0.849889 lr=0.000024 Epoch[190] Batch [0999]/[1880] Speed: 195.202466 samples/sec accuracy=78.314063 loss=0.849790 lr=0.000024 Epoch[190] Batch [1049]/[1880] Speed: 185.600815 samples/sec accuracy=78.351935 loss=0.848090 lr=0.000024 Epoch[190] Batch [1099]/[1880] Speed: 183.167882 samples/sec accuracy=78.364347 loss=0.847725 lr=0.000024 Epoch[190] Batch [1149]/[1880] Speed: 193.633044 samples/sec accuracy=78.355299 loss=0.847614 lr=0.000023 Epoch[190] Batch [1199]/[1880] Speed: 168.071755 samples/sec accuracy=78.377604 loss=0.846395 lr=0.000023 Epoch[190] Batch [1249]/[1880] Speed: 200.443904 samples/sec accuracy=78.372500 loss=0.846405 lr=0.000023 Epoch[190] Batch [1299]/[1880] Speed: 179.684996 samples/sec accuracy=78.390024 loss=0.845623 lr=0.000023 Epoch[190] Batch [1349]/[1880] Speed: 174.568838 samples/sec accuracy=78.394676 loss=0.845933 lr=0.000023 Epoch[190] Batch [1399]/[1880] Speed: 207.579425 samples/sec accuracy=78.381696 loss=0.845910 lr=0.000022 Epoch[190] Batch [1449]/[1880] Speed: 184.743345 samples/sec accuracy=78.409483 loss=0.844500 lr=0.000022 Epoch[190] Batch [1499]/[1880] Speed: 179.698632 samples/sec accuracy=78.428125 loss=0.844311 lr=0.000022 Epoch[190] Batch [1549]/[1880] Speed: 192.205226 samples/sec accuracy=78.401714 loss=0.844458 lr=0.000022 Epoch[190] Batch [1599]/[1880] Speed: 178.515105 samples/sec accuracy=78.402832 loss=0.845530 lr=0.000021 Epoch[190] Batch [1649]/[1880] Speed: 195.502530 samples/sec accuracy=78.402462 loss=0.845750 lr=0.000021 Epoch[190] Batch [1699]/[1880] Speed: 180.257636 samples/sec accuracy=78.412684 loss=0.845286 lr=0.000021 Epoch[190] Batch [1749]/[1880] Speed: 179.800320 samples/sec accuracy=78.433036 loss=0.844614 lr=0.000021 Epoch[190] Batch [1799]/[1880] Speed: 194.930476 samples/sec accuracy=78.434028 loss=0.843794 lr=0.000020 Epoch[190] Batch [1849]/[1880] Speed: 174.499386 samples/sec accuracy=78.426943 loss=0.843863 lr=0.000020 Batch [0049]/[0151]: acc-top1=49.968750 acc-top5=74.125000 Batch [0099]/[0151]: acc-top1=53.609375 acc-top5=76.046875 Batch [0149]/[0151]: acc-top1=52.812500 acc-top5=75.692708 [Epoch 190] training: accuracy=78.422124 loss=0.843982 [Epoch 190] speed: 184 samples/sec time cost: 1417.258427 [Epoch 190] validation: acc-top1=52.762831 acc-top5=75.636382 loss=2.273892 Epoch[191] Batch [0049]/[1880] Speed: 130.717371 samples/sec accuracy=78.625000 loss=0.832713 lr=0.000020 Epoch[191] Batch [0099]/[1880] Speed: 202.824930 samples/sec accuracy=78.726562 loss=0.831728 lr=0.000020 Epoch[191] Batch [0149]/[1880] Speed: 182.049143 samples/sec accuracy=78.718750 loss=0.831292 lr=0.000019 Epoch[191] Batch [0199]/[1880] Speed: 182.626836 samples/sec accuracy=78.812500 loss=0.829419 lr=0.000019 Epoch[191] Batch [0249]/[1880] Speed: 181.098841 samples/sec accuracy=78.846875 loss=0.825882 lr=0.000019 Epoch[191] Batch [0299]/[1880] Speed: 188.983124 samples/sec accuracy=78.895833 loss=0.826290 lr=0.000019 Epoch[191] Batch [0349]/[1880] Speed: 188.188352 samples/sec accuracy=78.991071 loss=0.822706 lr=0.000019 Epoch[191] Batch [0399]/[1880] Speed: 192.815798 samples/sec accuracy=78.982422 loss=0.822402 lr=0.000018 Epoch[191] Batch [0449]/[1880] Speed: 170.904415 samples/sec accuracy=78.980903 loss=0.822173 lr=0.000018 Epoch[191] Batch [0499]/[1880] Speed: 193.662813 samples/sec accuracy=78.906250 loss=0.826737 lr=0.000018 Epoch[191] Batch [0549]/[1880] Speed: 198.265203 samples/sec accuracy=78.840909 loss=0.827845 lr=0.000018 Epoch[191] Batch [0599]/[1880] Speed: 171.559209 samples/sec accuracy=78.834635 loss=0.827451 lr=0.000018 Epoch[191] Batch [0649]/[1880] Speed: 201.558725 samples/sec accuracy=78.792067 loss=0.827981 lr=0.000017 Epoch[191] Batch [0699]/[1880] Speed: 175.510367 samples/sec accuracy=78.811384 loss=0.828636 lr=0.000017 Epoch[191] Batch [0749]/[1880] Speed: 191.832568 samples/sec accuracy=78.851042 loss=0.826671 lr=0.000017 Epoch[191] Batch [0799]/[1880] Speed: 182.610994 samples/sec accuracy=78.855469 loss=0.826301 lr=0.000017 Epoch[191] Batch [0849]/[1880] Speed: 195.431766 samples/sec accuracy=78.847426 loss=0.826590 lr=0.000017 Epoch[191] Batch [0899]/[1880] Speed: 174.620144 samples/sec accuracy=78.788194 loss=0.828877 lr=0.000016 Epoch[191] Batch [0949]/[1880] Speed: 187.955881 samples/sec accuracy=78.824836 loss=0.828154 lr=0.000016 Epoch[191] Batch [0999]/[1880] Speed: 193.443609 samples/sec accuracy=78.815625 loss=0.828742 lr=0.000016 Epoch[191] Batch [1049]/[1880] Speed: 181.218566 samples/sec accuracy=78.845238 loss=0.828629 lr=0.000016 Epoch[191] Batch [1099]/[1880] Speed: 188.204882 samples/sec accuracy=78.851562 loss=0.828090 lr=0.000016 Epoch[191] Batch [1149]/[1880] Speed: 197.880085 samples/sec accuracy=78.806386 loss=0.829730 lr=0.000015 Epoch[191] Batch [1199]/[1880] Speed: 162.139868 samples/sec accuracy=78.814453 loss=0.829913 lr=0.000015 Epoch[191] Batch [1249]/[1880] Speed: 205.725287 samples/sec accuracy=78.816875 loss=0.829536 lr=0.000015 Epoch[191] Batch [1299]/[1880] Speed: 197.688840 samples/sec accuracy=78.763221 loss=0.831780 lr=0.000015 Epoch[191] Batch [1349]/[1880] Speed: 166.340126 samples/sec accuracy=78.719907 loss=0.832957 lr=0.000015 Epoch[191] Batch [1399]/[1880] Speed: 203.266427 samples/sec accuracy=78.680246 loss=0.834012 lr=0.000014 Epoch[191] Batch [1449]/[1880] Speed: 175.963595 samples/sec accuracy=78.637392 loss=0.836235 lr=0.000014 Epoch[191] Batch [1499]/[1880] Speed: 191.870128 samples/sec accuracy=78.618750 loss=0.837041 lr=0.000014 Epoch[191] Batch [1549]/[1880] Speed: 181.622501 samples/sec accuracy=78.617944 loss=0.836985 lr=0.000014 Epoch[191] Batch [1599]/[1880] Speed: 189.909114 samples/sec accuracy=78.589844 loss=0.837627 lr=0.000014 Epoch[191] Batch [1649]/[1880] Speed: 191.129345 samples/sec accuracy=78.589489 loss=0.837379 lr=0.000014 Epoch[191] Batch [1699]/[1880] Speed: 175.147920 samples/sec accuracy=78.573529 loss=0.837327 lr=0.000013 Epoch[191] Batch [1749]/[1880] Speed: 201.809094 samples/sec accuracy=78.564732 loss=0.837612 lr=0.000013 Epoch[191] Batch [1799]/[1880] Speed: 179.079616 samples/sec accuracy=78.529514 loss=0.838786 lr=0.000013 Epoch[191] Batch [1849]/[1880] Speed: 181.408856 samples/sec accuracy=78.514358 loss=0.839210 lr=0.000013 Batch [0049]/[0151]: acc-top1=49.843750 acc-top5=74.046875 Batch [0099]/[0151]: acc-top1=53.468750 acc-top5=76.015625 Batch [0149]/[0151]: acc-top1=52.755208 acc-top5=75.687500 [Epoch 191] training: accuracy=78.513132 loss=0.839128 [Epoch 191] speed: 185 samples/sec time cost: 1413.530868 [Epoch 191] validation: acc-top1=52.705919 acc-top5=75.626035 loss=2.277948 Epoch[192] Batch [0049]/[1879] Speed: 135.838793 samples/sec accuracy=79.078125 loss=0.826347 lr=0.000013 Epoch[192] Batch [0099]/[1879] Speed: 179.579339 samples/sec accuracy=78.664062 loss=0.837532 lr=0.000012 Epoch[192] Batch [0149]/[1879] Speed: 207.363387 samples/sec accuracy=78.479167 loss=0.844282 lr=0.000012 Epoch[192] Batch [0199]/[1879] Speed: 167.586647 samples/sec accuracy=78.574219 loss=0.845478 lr=0.000012 Epoch[192] Batch [0249]/[1879] Speed: 199.303332 samples/sec accuracy=78.403125 loss=0.850315 lr=0.000012 Epoch[192] Batch [0299]/[1879] Speed: 180.063978 samples/sec accuracy=78.393229 loss=0.849672 lr=0.000012 Epoch[192] Batch [0349]/[1879] Speed: 185.104045 samples/sec accuracy=78.448661 loss=0.848588 lr=0.000012 Epoch[192] Batch [0399]/[1879] Speed: 188.321825 samples/sec accuracy=78.400391 loss=0.847479 lr=0.000011 Epoch[192] Batch [0449]/[1879] Speed: 180.202978 samples/sec accuracy=78.329861 loss=0.849193 lr=0.000011 Epoch[192] Batch [0499]/[1879] Speed: 196.163533 samples/sec accuracy=78.334375 loss=0.848181 lr=0.000011 Epoch[192] Batch [0549]/[1879] Speed: 182.648385 samples/sec accuracy=78.389205 loss=0.844252 lr=0.000011 Epoch[192] Batch [0599]/[1879] Speed: 182.059551 samples/sec accuracy=78.377604 loss=0.846259 lr=0.000011 Epoch[192] Batch [0649]/[1879] Speed: 196.779700 samples/sec accuracy=78.420673 loss=0.846067 lr=0.000011 Epoch[192] Batch [0699]/[1879] Speed: 167.866071 samples/sec accuracy=78.404018 loss=0.845531 lr=0.000010 Epoch[192] Batch [0749]/[1879] Speed: 201.654590 samples/sec accuracy=78.406250 loss=0.845349 lr=0.000010 Epoch[192] Batch [0799]/[1879] Speed: 177.812044 samples/sec accuracy=78.435547 loss=0.843056 lr=0.000010 Epoch[192] Batch [0849]/[1879] Speed: 189.169098 samples/sec accuracy=78.490809 loss=0.841527 lr=0.000010 Epoch[192] Batch [0899]/[1879] Speed: 199.515905 samples/sec accuracy=78.444444 loss=0.842584 lr=0.000010 Epoch[192] Batch [0949]/[1879] Speed: 167.283887 samples/sec accuracy=78.457237 loss=0.841246 lr=0.000010 Epoch[192] Batch [0999]/[1879] Speed: 199.105356 samples/sec accuracy=78.457813 loss=0.841620 lr=0.000010 Epoch[192] Batch [1049]/[1879] Speed: 176.284253 samples/sec accuracy=78.513393 loss=0.839838 lr=0.000009 Epoch[192] Batch [1099]/[1879] Speed: 179.734828 samples/sec accuracy=78.510653 loss=0.839871 lr=0.000009 Epoch[192] Batch [1149]/[1879] Speed: 203.671388 samples/sec accuracy=78.504076 loss=0.840228 lr=0.000009 Epoch[192] Batch [1199]/[1879] Speed: 185.944397 samples/sec accuracy=78.490885 loss=0.840625 lr=0.000009 Epoch[192] Batch [1249]/[1879] Speed: 176.597761 samples/sec accuracy=78.520000 loss=0.839703 lr=0.000009 Epoch[192] Batch [1299]/[1879] Speed: 199.603687 samples/sec accuracy=78.489183 loss=0.840423 lr=0.000009 Epoch[192] Batch [1349]/[1879] Speed: 177.288075 samples/sec accuracy=78.489583 loss=0.839854 lr=0.000009 Epoch[192] Batch [1399]/[1879] Speed: 194.143241 samples/sec accuracy=78.476562 loss=0.840723 lr=0.000008 Epoch[192] Batch [1449]/[1879] Speed: 184.458394 samples/sec accuracy=78.487608 loss=0.840906 lr=0.000008 Epoch[192] Batch [1499]/[1879] Speed: 181.676563 samples/sec accuracy=78.464062 loss=0.841866 lr=0.000008 Epoch[192] Batch [1549]/[1879] Speed: 181.886077 samples/sec accuracy=78.484375 loss=0.841730 lr=0.000008 Epoch[192] Batch [1599]/[1879] Speed: 179.672687 samples/sec accuracy=78.468262 loss=0.842625 lr=0.000008 Epoch[192] Batch [1649]/[1879] Speed: 203.533368 samples/sec accuracy=78.457860 loss=0.843280 lr=0.000008 Epoch[192] Batch [1699]/[1879] Speed: 184.506731 samples/sec accuracy=78.457721 loss=0.843675 lr=0.000008 Epoch[192] Batch [1749]/[1879] Speed: 176.137967 samples/sec accuracy=78.455804 loss=0.843547 lr=0.000007 Epoch[192] Batch [1799]/[1879] Speed: 199.954367 samples/sec accuracy=78.447917 loss=0.843999 lr=0.000007 Epoch[192] Batch [1849]/[1879] Speed: 179.530857 samples/sec accuracy=78.455659 loss=0.843655 lr=0.000007 Batch [0049]/[0151]: acc-top1=49.750000 acc-top5=74.093750 Batch [0099]/[0151]: acc-top1=53.453125 acc-top5=76.023438 Batch [0149]/[0151]: acc-top1=52.760417 acc-top5=75.682292 [Epoch 192] training: accuracy=78.485065 loss=0.843048 [Epoch 192] speed: 184 samples/sec time cost: 1416.407743 [Epoch 192] validation: acc-top1=52.711093 acc-top5=75.615687 loss=2.276238 Epoch[193] Batch [0049]/[1880] Speed: 133.364792 samples/sec accuracy=78.843750 loss=0.840630 lr=0.000007 Epoch[193] Batch [0099]/[1880] Speed: 193.517434 samples/sec accuracy=78.960938 loss=0.840660 lr=0.000007 Epoch[193] Batch [0149]/[1880] Speed: 179.850588 samples/sec accuracy=78.692708 loss=0.841723 lr=0.000007 Epoch[193] Batch [0199]/[1880] Speed: 193.665181 samples/sec accuracy=78.546875 loss=0.843671 lr=0.000007 Epoch[193] Batch [0249]/[1880] Speed: 180.409453 samples/sec accuracy=78.693750 loss=0.837245 lr=0.000006 Epoch[193] Batch [0299]/[1880] Speed: 188.768875 samples/sec accuracy=78.703125 loss=0.835979 lr=0.000006 Epoch[193] Batch [0349]/[1880] Speed: 174.028123 samples/sec accuracy=78.779018 loss=0.833183 lr=0.000006 Epoch[193] Batch [0399]/[1880] Speed: 203.895698 samples/sec accuracy=78.691406 loss=0.834750 lr=0.000006 Epoch[193] Batch [0449]/[1880] Speed: 172.629542 samples/sec accuracy=78.649306 loss=0.834306 lr=0.000006 Epoch[193] Batch [0499]/[1880] Speed: 194.471648 samples/sec accuracy=78.625000 loss=0.836677 lr=0.000006 Epoch[193] Batch [0549]/[1880] Speed: 185.012021 samples/sec accuracy=78.688920 loss=0.835624 lr=0.000006 Epoch[193] Batch [0599]/[1880] Speed: 179.738502 samples/sec accuracy=78.709635 loss=0.837999 lr=0.000006 Epoch[193] Batch [0649]/[1880] Speed: 201.364382 samples/sec accuracy=78.704327 loss=0.837775 lr=0.000006 Epoch[193] Batch [0699]/[1880] Speed: 171.726491 samples/sec accuracy=78.697545 loss=0.838905 lr=0.000005 Epoch[193] Batch [0749]/[1880] Speed: 199.339590 samples/sec accuracy=78.686458 loss=0.838937 lr=0.000005 Epoch[193] Batch [0799]/[1880] Speed: 185.768633 samples/sec accuracy=78.675781 loss=0.838788 lr=0.000005 Epoch[193] Batch [0849]/[1880] Speed: 180.775550 samples/sec accuracy=78.649816 loss=0.839398 lr=0.000005 Epoch[193] Batch [0899]/[1880] Speed: 187.333520 samples/sec accuracy=78.620660 loss=0.839997 lr=0.000005 Epoch[193] Batch [0949]/[1880] Speed: 186.105196 samples/sec accuracy=78.647204 loss=0.839236 lr=0.000005 Epoch[193] Batch [0999]/[1880] Speed: 191.454870 samples/sec accuracy=78.653125 loss=0.839030 lr=0.000005 Epoch[193] Batch [1049]/[1880] Speed: 187.961522 samples/sec accuracy=78.619048 loss=0.839287 lr=0.000005 Epoch[193] Batch [1099]/[1880] Speed: 174.843815 samples/sec accuracy=78.645597 loss=0.838309 lr=0.000005 Epoch[193] Batch [1149]/[1880] Speed: 195.079353 samples/sec accuracy=78.672554 loss=0.837020 lr=0.000004 Epoch[193] Batch [1199]/[1880] Speed: 180.254057 samples/sec accuracy=78.643229 loss=0.837959 lr=0.000004 Epoch[193] Batch [1249]/[1880] Speed: 187.628663 samples/sec accuracy=78.656250 loss=0.837169 lr=0.000004 Epoch[193] Batch [1299]/[1880] Speed: 184.781673 samples/sec accuracy=78.668870 loss=0.836706 lr=0.000004 Epoch[193] Batch [1349]/[1880] Speed: 181.231177 samples/sec accuracy=78.673611 loss=0.837240 lr=0.000004 Epoch[193] Batch [1399]/[1880] Speed: 197.813802 samples/sec accuracy=78.656250 loss=0.837006 lr=0.000004 Epoch[193] Batch [1449]/[1880] Speed: 175.988555 samples/sec accuracy=78.658944 loss=0.836332 lr=0.000004 Epoch[193] Batch [1499]/[1880] Speed: 188.595346 samples/sec accuracy=78.657813 loss=0.836698 lr=0.000004 Epoch[193] Batch [1549]/[1880] Speed: 183.002520 samples/sec accuracy=78.655242 loss=0.836086 lr=0.000004 Epoch[193] Batch [1599]/[1880] Speed: 186.064087 samples/sec accuracy=78.668945 loss=0.835382 lr=0.000004 Epoch[193] Batch [1649]/[1880] Speed: 184.253209 samples/sec accuracy=78.652936 loss=0.835360 lr=0.000003 Epoch[193] Batch [1699]/[1880] Speed: 194.783923 samples/sec accuracy=78.620404 loss=0.836117 lr=0.000003 Epoch[193] Batch [1749]/[1880] Speed: 177.937214 samples/sec accuracy=78.623661 loss=0.836329 lr=0.000003 Epoch[193] Batch [1799]/[1880] Speed: 190.005047 samples/sec accuracy=78.606337 loss=0.837014 lr=0.000003 Epoch[193] Batch [1849]/[1880] Speed: 196.280499 samples/sec accuracy=78.624578 loss=0.836429 lr=0.000003 Batch [0049]/[0151]: acc-top1=49.890625 acc-top5=74.093750 Batch [0099]/[0151]: acc-top1=53.484375 acc-top5=76.031250 Batch [0149]/[0151]: acc-top1=52.760417 acc-top5=75.697917 [Epoch 193] training: accuracy=78.611203 loss=0.837032 [Epoch 193] speed: 184 samples/sec time cost: 1416.893002 [Epoch 193] validation: acc-top1=52.711093 acc-top5=75.636382 loss=2.276557 Epoch[194] Batch [0049]/[1880] Speed: 134.474715 samples/sec accuracy=78.437500 loss=0.834319 lr=0.000003 Epoch[194] Batch [0099]/[1880] Speed: 202.234352 samples/sec accuracy=77.976562 loss=0.854504 lr=0.000003 Epoch[194] Batch [0149]/[1880] Speed: 176.872985 samples/sec accuracy=78.203125 loss=0.850393 lr=0.000003 Epoch[194] Batch [0199]/[1880] Speed: 185.686087 samples/sec accuracy=78.445312 loss=0.846513 lr=0.000003 Epoch[194] Batch [0249]/[1880] Speed: 183.368569 samples/sec accuracy=78.509375 loss=0.841328 lr=0.000003 Epoch[194] Batch [0299]/[1880] Speed: 183.891495 samples/sec accuracy=78.382812 loss=0.846439 lr=0.000003 Epoch[194] Batch [0349]/[1880] Speed: 187.979898 samples/sec accuracy=78.419643 loss=0.846199 lr=0.000002 Epoch[194] Batch [0399]/[1880] Speed: 188.633538 samples/sec accuracy=78.480469 loss=0.846042 lr=0.000002 Epoch[194] Batch [0449]/[1880] Speed: 187.625109 samples/sec accuracy=78.503472 loss=0.846880 lr=0.000002 Epoch[194] Batch [0499]/[1880] Speed: 192.538712 samples/sec accuracy=78.528125 loss=0.845795 lr=0.000002 Epoch[194] Batch [0549]/[1880] Speed: 172.217020 samples/sec accuracy=78.562500 loss=0.843710 lr=0.000002 Epoch[194] Batch [0599]/[1880] Speed: 191.032367 samples/sec accuracy=78.490885 loss=0.844976 lr=0.000002 Epoch[194] Batch [0649]/[1880] Speed: 193.861654 samples/sec accuracy=78.498798 loss=0.845617 lr=0.000002 Epoch[194] Batch [0699]/[1880] Speed: 175.236712 samples/sec accuracy=78.592634 loss=0.843363 lr=0.000002 Epoch[194] Batch [0749]/[1880] Speed: 188.881435 samples/sec accuracy=78.589583 loss=0.844117 lr=0.000002 Epoch[194] Batch [0799]/[1880] Speed: 185.157950 samples/sec accuracy=78.607422 loss=0.843982 lr=0.000002 Epoch[194] Batch [0849]/[1880] Speed: 176.393373 samples/sec accuracy=78.603860 loss=0.843164 lr=0.000002 Epoch[194] Batch [0899]/[1880] Speed: 198.359882 samples/sec accuracy=78.644965 loss=0.841501 lr=0.000002 Epoch[194] Batch [0949]/[1880] Speed: 184.056423 samples/sec accuracy=78.648849 loss=0.841359 lr=0.000002 Epoch[194] Batch [0999]/[1880] Speed: 183.775392 samples/sec accuracy=78.694531 loss=0.838797 lr=0.000002 Epoch[194] Batch [1049]/[1880] Speed: 192.542905 samples/sec accuracy=78.698661 loss=0.839681 lr=0.000002 Epoch[194] Batch [1099]/[1880] Speed: 181.618246 samples/sec accuracy=78.709517 loss=0.839058 lr=0.000001 Epoch[194] Batch [1149]/[1880] Speed: 183.881798 samples/sec accuracy=78.705163 loss=0.839669 lr=0.000001 Epoch[194] Batch [1199]/[1880] Speed: 196.318478 samples/sec accuracy=78.723307 loss=0.838807 lr=0.000001 Epoch[194] Batch [1249]/[1880] Speed: 175.939330 samples/sec accuracy=78.725625 loss=0.838995 lr=0.000001 Epoch[194] Batch [1299]/[1880] Speed: 183.208103 samples/sec accuracy=78.715144 loss=0.839255 lr=0.000001 Epoch[194] Batch [1349]/[1880] Speed: 189.564245 samples/sec accuracy=78.675347 loss=0.840730 lr=0.000001 Epoch[194] Batch [1399]/[1880] Speed: 192.158478 samples/sec accuracy=78.692522 loss=0.840597 lr=0.000001 Epoch[194] Batch [1449]/[1880] Speed: 179.399314 samples/sec accuracy=78.671336 loss=0.840855 lr=0.000001 Epoch[194] Batch [1499]/[1880] Speed: 188.298464 samples/sec accuracy=78.658333 loss=0.841039 lr=0.000001 Epoch[194] Batch [1549]/[1880] Speed: 188.641881 samples/sec accuracy=78.651714 loss=0.841034 lr=0.000001 Epoch[194] Batch [1599]/[1880] Speed: 169.534933 samples/sec accuracy=78.641602 loss=0.840965 lr=0.000001 Epoch[194] Batch [1649]/[1880] Speed: 198.018241 samples/sec accuracy=78.653883 loss=0.840763 lr=0.000001 Epoch[194] Batch [1699]/[1880] Speed: 187.726295 samples/sec accuracy=78.647059 loss=0.840966 lr=0.000001 Epoch[194] Batch [1749]/[1880] Speed: 182.060800 samples/sec accuracy=78.653125 loss=0.840354 lr=0.000001 Epoch[194] Batch [1799]/[1880] Speed: 190.240407 samples/sec accuracy=78.643663 loss=0.841049 lr=0.000001 Epoch[194] Batch [1849]/[1880] Speed: 170.869550 samples/sec accuracy=78.652872 loss=0.840603 lr=0.000001 Batch [0049]/[0151]: acc-top1=49.750000 acc-top5=74.031250 Batch [0099]/[0151]: acc-top1=53.406250 acc-top5=75.992188 Batch [0149]/[0151]: acc-top1=52.723958 acc-top5=75.692708 [Epoch 194] training: accuracy=78.632812 loss=0.840950 [Epoch 194] speed: 184 samples/sec time cost: 1416.234363 [Epoch 194] validation: acc-top1=52.674876 acc-top5=75.626035 loss=2.276409 Epoch[195] Batch [0049]/[1880] Speed: 135.986718 samples/sec accuracy=78.265625 loss=0.859130 lr=0.000001 Epoch[195] Batch [0099]/[1880] Speed: 182.159960 samples/sec accuracy=78.343750 loss=0.855854 lr=0.000001 Epoch[195] Batch [0149]/[1880] Speed: 193.310669 samples/sec accuracy=78.598958 loss=0.846766 lr=0.000001 Epoch[195] Batch [0199]/[1880] Speed: 189.853047 samples/sec accuracy=78.394531 loss=0.852331 lr=0.000001 Epoch[195] Batch [0249]/[1880] Speed: 179.613546 samples/sec accuracy=78.409375 loss=0.847852 lr=0.000001 Epoch[195] Batch [0299]/[1880] Speed: 196.399523 samples/sec accuracy=78.541667 loss=0.845315 lr=0.000000 Epoch[195] Batch [0349]/[1880] Speed: 173.612769 samples/sec accuracy=78.549107 loss=0.846697 lr=0.000000 Epoch[195] Batch [0399]/[1880] Speed: 197.392027 samples/sec accuracy=78.597656 loss=0.844874 lr=0.000000 Epoch[195] Batch [0449]/[1880] Speed: 182.812578 samples/sec accuracy=78.548611 loss=0.845510 lr=0.000000 Epoch[195] Batch [0499]/[1880] Speed: 173.798713 samples/sec accuracy=78.434375 loss=0.847613 lr=0.000000 Epoch[195] Batch [0549]/[1880] Speed: 196.063251 samples/sec accuracy=78.384943 loss=0.849130 lr=0.000000 Epoch[195] Batch [0599]/[1880] Speed: 186.979519 samples/sec accuracy=78.436198 loss=0.849251 lr=0.000000 Epoch[195] Batch [0649]/[1880] Speed: 179.845841 samples/sec accuracy=78.484375 loss=0.846073 lr=0.000000 Epoch[195] Batch [0699]/[1880] Speed: 195.551973 samples/sec accuracy=78.513393 loss=0.844314 lr=0.000000 Epoch[195] Batch [0749]/[1880] Speed: 167.732055 samples/sec accuracy=78.509375 loss=0.843833 lr=0.000000 Epoch[195] Batch [0799]/[1880] Speed: 189.918126 samples/sec accuracy=78.540039 loss=0.842809 lr=0.000000 Epoch[195] Batch [0849]/[1880] Speed: 202.696608 samples/sec accuracy=78.609375 loss=0.839963 lr=0.000000 Epoch[195] Batch [0899]/[1880] Speed: 180.065612 samples/sec accuracy=78.601562 loss=0.839414 lr=0.000000 Epoch[195] Batch [0949]/[1880] Speed: 180.683864 samples/sec accuracy=78.597039 loss=0.839734 lr=0.000000 Epoch[195] Batch [0999]/[1880] Speed: 198.112680 samples/sec accuracy=78.564062 loss=0.840465 lr=0.000000 Epoch[195] Batch [1049]/[1880] Speed: 174.707841 samples/sec accuracy=78.531994 loss=0.841346 lr=0.000000 Epoch[195] Batch [1099]/[1880] Speed: 188.169932 samples/sec accuracy=78.530540 loss=0.841338 lr=0.000000 Epoch[195] Batch [1149]/[1880] Speed: 197.219453 samples/sec accuracy=78.564538 loss=0.840766 lr=0.000000 Epoch[195] Batch [1199]/[1880] Speed: 176.359292 samples/sec accuracy=78.554688 loss=0.840742 lr=0.000000 Epoch[195] Batch [1249]/[1880] Speed: 186.809520 samples/sec accuracy=78.560000 loss=0.840968 lr=0.000000 Epoch[195] Batch [1299]/[1880] Speed: 178.171808 samples/sec accuracy=78.518029 loss=0.841393 lr=0.000000 Epoch[195] Batch [1349]/[1880] Speed: 191.985434 samples/sec accuracy=78.483218 loss=0.843071 lr=0.000000 Epoch[195] Batch [1399]/[1880] Speed: 187.469655 samples/sec accuracy=78.471540 loss=0.843680 lr=0.000000 Epoch[195] Batch [1449]/[1880] Speed: 192.177488 samples/sec accuracy=78.446659 loss=0.844511 lr=0.000000 Epoch[195] Batch [1499]/[1880] Speed: 174.124469 samples/sec accuracy=78.464583 loss=0.843806 lr=0.000000 Epoch[195] Batch [1549]/[1880] Speed: 201.396783 samples/sec accuracy=78.465222 loss=0.843586 lr=0.000000 Epoch[195] Batch [1599]/[1880] Speed: 177.388419 samples/sec accuracy=78.468262 loss=0.844096 lr=0.000000 Epoch[195] Batch [1649]/[1880] Speed: 177.919754 samples/sec accuracy=78.453598 loss=0.844763 lr=0.000000 Epoch[195] Batch [1699]/[1880] Speed: 201.420708 samples/sec accuracy=78.450827 loss=0.844580 lr=0.000000 Epoch[195] Batch [1749]/[1880] Speed: 178.542580 samples/sec accuracy=78.457589 loss=0.844282 lr=0.000000 Epoch[195] Batch [1799]/[1880] Speed: 181.486570 samples/sec accuracy=78.452691 loss=0.844782 lr=0.000000 Epoch[195] Batch [1849]/[1880] Speed: 207.430531 samples/sec accuracy=78.415541 loss=0.845894 lr=0.000000 Batch [0049]/[0151]: acc-top1=49.796875 acc-top5=74.031250 Batch [0099]/[0151]: acc-top1=53.429688 acc-top5=75.984375 Batch [0149]/[0151]: acc-top1=52.734375 acc-top5=75.687500 [Epoch 195] training: accuracy=78.427111 loss=0.845192 [Epoch 195] speed: 184 samples/sec time cost: 1415.899274 [Epoch 195] validation: acc-top1=52.685224 acc-top5=75.620861 loss=2.276299