Namespace(accumulate=1, batch_norm=False, batch_size=8, 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='r2plus1d_seg1_k400_b8_g8_f16s2_cosine_epoch196_lr1_warm34_warmlr001_run1.log', lr=0.1, 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='r2plus1d_resnet18_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/r2plus1d/r2plus1d_seg1_k400_b8_g8_f16s2_cosine_epoch196_lr1_warm34_warmlr001_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=34, warmup_lr=0.001, wd=0.0001) Total batch size is set to 64 on 8 GPUs R2Plus1D( (conv1): Conv3D(3 -> 45, kernel_size=(1, 7, 7), stride=(1, 2, 2), padding=(0, 3, 3), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=45) (relu): Activation(relu) (conv2): Conv3D(45 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (layer1): HybridSequential( (0): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(64 -> 144, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=144) (relu): Activation(relu) (conv2): Conv3D(144 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) ) ) (layer2): HybridSequential( (0): BasicBlock( (downsample): HybridSequential( (0): Conv3D(64 -> 128, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) (conv1): Conv2Plus1D( (conv1): Conv3D(64 -> 230, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=230) (relu): Activation(relu) (conv2): Conv3D(230 -> 128, kernel_size=(3, 1, 1), stride=(2, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 230, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=230) (relu): Activation(relu) (conv2): Conv3D(230 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(128 -> 288, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=288) (relu): Activation(relu) (conv2): Conv3D(288 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) ) (layer3): HybridSequential( (0): BasicBlock( (downsample): HybridSequential( (0): Conv3D(128 -> 256, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv2Plus1D( (conv1): Conv3D(128 -> 460, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=460) (relu): Activation(relu) (conv2): Conv3D(460 -> 256, kernel_size=(3, 1, 1), stride=(2, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 460, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=460) (relu): Activation(relu) (conv2): Conv3D(460 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(256 -> 576, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=576) (relu): Activation(relu) (conv2): Conv3D(576 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) ) (layer4): HybridSequential( (0): BasicBlock( (downsample): HybridSequential( (0): Conv3D(256 -> 512, kernel_size=(1, 1, 1), stride=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (conv1): Conv2Plus1D( (conv1): Conv3D(256 -> 921, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=921) (relu): Activation(relu) (conv2): Conv3D(921 -> 512, kernel_size=(3, 1, 1), stride=(2, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 921, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=921) (relu): Activation(relu) (conv2): Conv3D(921 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) (1): BasicBlock( (conv1): Conv2Plus1D( (conv1): Conv3D(512 -> 1152, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1152) (relu): Activation(relu) (conv2): Conv3D(1152 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (conv2): Conv2Plus1D( (conv1): Conv3D(512 -> 1152, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1152) (relu): Activation(relu) (conv2): Conv3D(1152 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) ) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) ) (avgpool): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (dropout): Dropout(p = 0.5, axes=()) (fc): Dense(512 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. 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samples/sec accuracy=1.264925 loss=5.735476 lr=0.003595 Epoch[000] Batch [3399]/[3759] Speed: 160.515649 samples/sec accuracy=1.272059 loss=5.731875 lr=0.003634 Epoch[000] Batch [3449]/[3759] Speed: 164.238750 samples/sec accuracy=1.285326 loss=5.728288 lr=0.003672 Epoch[000] Batch [3499]/[3759] Speed: 163.897234 samples/sec accuracy=1.293304 loss=5.724879 lr=0.003711 Epoch[000] Batch [3549]/[3759] Speed: 164.019769 samples/sec accuracy=1.308539 loss=5.720791 lr=0.003750 Epoch[000] Batch [3599]/[3759] Speed: 160.994841 samples/sec accuracy=1.320747 loss=5.717690 lr=0.003789 Epoch[000] Batch [3649]/[3759] Speed: 160.988350 samples/sec accuracy=1.329195 loss=5.714020 lr=0.003827 Epoch[000] Batch [3699]/[3759] Speed: 162.139289 samples/sec accuracy=1.339949 loss=5.710809 lr=0.003866 Epoch[000] Batch [3749]/[3759] Speed: 177.073966 samples/sec accuracy=1.352500 loss=5.707557 lr=0.003905 Batch [0049]/[0303]: acc-top1=1.343750 acc-top5=4.812500 Batch [0099]/[0303]: acc-top1=1.265625 acc-top5=5.906250 Batch [0149]/[0303]: acc-top1=1.854167 acc-top5=6.916667 Batch [0199]/[0303]: acc-top1=1.859375 acc-top5=7.203125 Batch [0249]/[0303]: acc-top1=2.193750 acc-top5=8.375000 Batch [0299]/[0303]: acc-top1=1.973958 acc-top5=8.239583 [Epoch 000] training: accuracy=1.355912 loss=5.706941 [Epoch 000] speed: 161 samples/sec time cost: 1610.927295 [Epoch 000] validation: acc-top1=1.964728 acc-top5=8.209571 loss=5.480593 Epoch[001] Batch [0049]/[3760] Speed: 111.579082 samples/sec accuracy=2.531250 loss=5.430709 lr=0.003951 Epoch[001] Batch [0099]/[3760] Speed: 162.553870 samples/sec accuracy=2.703125 loss=5.411006 lr=0.003989 Epoch[001] Batch [0149]/[3760] Speed: 162.666305 samples/sec accuracy=2.625000 loss=5.420765 lr=0.004028 Epoch[001] Batch [0199]/[3760] Speed: 161.381478 samples/sec accuracy=2.632812 loss=5.419384 lr=0.004067 Epoch[001] Batch [0249]/[3760] Speed: 160.490254 samples/sec accuracy=2.681250 loss=5.417988 lr=0.004105 Epoch[001] Batch [0299]/[3760] Speed: 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lr=0.005965 Epoch[001] Batch [2699]/[3760] Speed: 159.433124 samples/sec accuracy=3.535880 loss=5.290157 lr=0.006003 Epoch[001] Batch [2749]/[3760] Speed: 160.385160 samples/sec accuracy=3.565909 loss=5.287262 lr=0.006042 Epoch[001] Batch [2799]/[3760] Speed: 162.425113 samples/sec accuracy=3.571987 loss=5.285283 lr=0.006081 Epoch[001] Batch [2849]/[3760] Speed: 161.993333 samples/sec accuracy=3.578399 loss=5.283405 lr=0.006119 Epoch[001] Batch [2899]/[3760] Speed: 163.304528 samples/sec accuracy=3.599677 loss=5.280744 lr=0.006158 Epoch[001] Batch [2949]/[3760] Speed: 160.554433 samples/sec accuracy=3.610699 loss=5.277935 lr=0.006197 Epoch[001] Batch [2999]/[3760] Speed: 162.804569 samples/sec accuracy=3.628125 loss=5.275444 lr=0.006236 Epoch[001] Batch [3049]/[3760] Speed: 161.808164 samples/sec accuracy=3.647541 loss=5.272726 lr=0.006274 Epoch[001] Batch [3099]/[3760] Speed: 163.805415 samples/sec accuracy=3.662298 loss=5.270255 lr=0.006313 Epoch[001] Batch [3149]/[3760] Speed: 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lr=0.006700 Epoch[001] Batch [3649]/[3760] Speed: 162.910203 samples/sec accuracy=3.860017 loss=5.241369 lr=0.006739 Epoch[001] Batch [3699]/[3760] Speed: 161.249224 samples/sec accuracy=3.875000 loss=5.239554 lr=0.006778 Epoch[001] Batch [3749]/[3760] Speed: 173.961012 samples/sec accuracy=3.893750 loss=5.237093 lr=0.006817 Batch [0049]/[0303]: acc-top1=2.312500 acc-top5=12.468750 Batch [0099]/[0303]: acc-top1=3.765625 acc-top5=12.875000 Batch [0149]/[0303]: acc-top1=5.531250 acc-top5=16.968750 Batch [0199]/[0303]: acc-top1=6.015625 acc-top5=17.773438 Batch [0249]/[0303]: acc-top1=5.750000 acc-top5=17.281250 Batch [0299]/[0303]: acc-top1=5.401042 acc-top5=16.932292 [Epoch 001] training: accuracy=3.896692 loss=5.236379 [Epoch 001] speed: 160 samples/sec time cost: 1617.689614 [Epoch 001] validation: acc-top1=5.409447 acc-top5=16.991543 loss=5.004390 Epoch[002] Batch [0049]/[3759] Speed: 112.219623 samples/sec accuracy=5.375000 loss=5.016031 lr=0.006863 Epoch[002] Batch [0099]/[3759] 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accuracy=6.802390 loss=4.880033 lr=0.009458 Epoch[002] Batch [3449]/[3759] Speed: 159.952939 samples/sec accuracy=6.817029 loss=4.878277 lr=0.009497 Epoch[002] Batch [3499]/[3759] Speed: 162.403127 samples/sec accuracy=6.831696 loss=4.876907 lr=0.009536 Epoch[002] Batch [3549]/[3759] Speed: 162.759967 samples/sec accuracy=6.854313 loss=4.874483 lr=0.009574 Epoch[002] Batch [3599]/[3759] Speed: 158.738028 samples/sec accuracy=6.876302 loss=4.872080 lr=0.009613 Epoch[002] Batch [3649]/[3759] Speed: 159.688772 samples/sec accuracy=6.887414 loss=4.869541 lr=0.009652 Epoch[002] Batch [3699]/[3759] Speed: 160.875909 samples/sec accuracy=6.912162 loss=4.867763 lr=0.009690 Epoch[002] Batch [3749]/[3759] Speed: 174.365798 samples/sec accuracy=6.936667 loss=4.865683 lr=0.009729 Batch [0049]/[0303]: acc-top1=5.875000 acc-top5=21.781250 Batch [0099]/[0303]: acc-top1=6.546875 acc-top5=21.171875 Batch [0149]/[0303]: acc-top1=7.468750 acc-top5=23.604167 Batch [0199]/[0303]: acc-top1=8.835938 acc-top5=24.789062 Batch [0249]/[0303]: acc-top1=8.668750 acc-top5=24.862500 Batch [0299]/[0303]: acc-top1=8.692708 acc-top5=24.937500 [Epoch 002] training: accuracy=6.942505 loss=4.864906 [Epoch 002] speed: 159 samples/sec time cost: 1620.860409 [Epoch 002] validation: acc-top1=8.792285 acc-top5=25.005157 loss=4.605043 Epoch[003] Batch [0049]/[3760] Speed: 114.922720 samples/sec accuracy=7.562500 loss=4.706699 lr=0.009775 Epoch[003] Batch [0099]/[3760] Speed: 162.342272 samples/sec accuracy=8.125000 loss=4.677068 lr=0.009814 Epoch[003] Batch [0149]/[3760] Speed: 160.024504 samples/sec accuracy=8.333333 loss=4.676409 lr=0.009852 Epoch[003] Batch [0199]/[3760] Speed: 160.590818 samples/sec accuracy=8.554688 loss=4.680020 lr=0.009891 Epoch[003] Batch [0249]/[3760] Speed: 161.640468 samples/sec accuracy=8.600000 loss=4.666820 lr=0.009930 Epoch[003] Batch [0299]/[3760] Speed: 160.318561 samples/sec accuracy=8.536458 loss=4.675130 lr=0.009969 Epoch[003] Batch [0349]/[3760] Speed: 161.047984 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Epoch[003] Batch [2749]/[3760] Speed: 161.966132 samples/sec accuracy=9.277273 loss=4.615819 lr=0.011866 Epoch[003] Batch [2799]/[3760] Speed: 162.785147 samples/sec accuracy=9.285714 loss=4.614220 lr=0.011905 Epoch[003] Batch [2849]/[3760] Speed: 159.613361 samples/sec accuracy=9.282346 loss=4.613444 lr=0.011944 Epoch[003] Batch [2899]/[3760] Speed: 161.077565 samples/sec accuracy=9.306573 loss=4.610449 lr=0.011983 Epoch[003] Batch [2949]/[3760] Speed: 161.027219 samples/sec accuracy=9.315148 loss=4.609565 lr=0.012021 Epoch[003] Batch [2999]/[3760] Speed: 159.951269 samples/sec accuracy=9.344271 loss=4.607493 lr=0.012060 Epoch[003] Batch [3049]/[3760] Speed: 161.071321 samples/sec accuracy=9.359631 loss=4.606334 lr=0.012099 Epoch[003] Batch [3099]/[3760] Speed: 160.985952 samples/sec accuracy=9.384073 loss=4.604117 lr=0.012137 Epoch[003] Batch [3149]/[3760] Speed: 160.466187 samples/sec accuracy=9.413194 loss=4.601891 lr=0.012176 Epoch[003] Batch [3199]/[3760] Speed: 159.676015 samples/sec accuracy=9.439941 loss=4.600103 lr=0.012215 Epoch[003] Batch [3249]/[3760] Speed: 160.011462 samples/sec accuracy=9.462500 loss=4.598339 lr=0.012254 Epoch[003] Batch [3299]/[3760] Speed: 160.684736 samples/sec accuracy=9.467330 loss=4.597311 lr=0.012292 Epoch[003] Batch [3349]/[3760] Speed: 161.757064 samples/sec accuracy=9.494403 loss=4.595138 lr=0.012331 Epoch[003] Batch [3399]/[3760] Speed: 161.246661 samples/sec accuracy=9.500919 loss=4.593908 lr=0.012370 Epoch[003] Batch [3449]/[3760] Speed: 160.696389 samples/sec accuracy=9.519475 loss=4.591464 lr=0.012409 Epoch[003] Batch [3499]/[3760] Speed: 162.108567 samples/sec accuracy=9.551786 loss=4.589642 lr=0.012447 Epoch[003] Batch [3549]/[3760] Speed: 161.227148 samples/sec accuracy=9.571743 loss=4.587989 lr=0.012486 Epoch[003] Batch [3599]/[3760] Speed: 161.189579 samples/sec accuracy=9.581163 loss=4.586489 lr=0.012525 Epoch[003] Batch [3649]/[3760] Speed: 163.103956 samples/sec accuracy=9.609589 loss=4.584957 lr=0.012563 Epoch[003] Batch [3699]/[3760] Speed: 162.117981 samples/sec accuracy=9.633024 loss=4.584173 lr=0.012602 Epoch[003] Batch [3749]/[3760] Speed: 175.847725 samples/sec accuracy=9.660417 loss=4.582323 lr=0.012641 Batch [0049]/[0303]: acc-top1=7.937500 acc-top5=24.968750 Batch [0099]/[0303]: acc-top1=8.046875 acc-top5=25.250000 Batch [0149]/[0303]: acc-top1=9.395833 acc-top5=27.520833 Batch [0199]/[0303]: acc-top1=10.742188 acc-top5=28.664062 Batch [0249]/[0303]: acc-top1=10.900000 acc-top5=29.006250 Batch [0299]/[0303]: acc-top1=10.635417 acc-top5=28.609375 [Epoch 003] training: accuracy=9.665891 loss=4.582084 [Epoch 003] speed: 160 samples/sec time cost: 1619.218506 [Epoch 003] validation: acc-top1=10.751856 acc-top5=28.790223 loss=4.542818 Epoch[004] Batch [0049]/[3760] Speed: 114.939236 samples/sec accuracy=11.750000 loss=4.432150 lr=0.012687 Epoch[004] Batch [0099]/[3760] Speed: 159.349232 samples/sec accuracy=11.734375 loss=4.454880 lr=0.012726 Epoch[004] Batch [0149]/[3760] Speed: 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loss=4.442388 lr=0.013113 Epoch[004] Batch [0649]/[3760] Speed: 162.476028 samples/sec accuracy=11.276442 loss=4.436878 lr=0.013152 Epoch[004] Batch [0699]/[3760] Speed: 161.365428 samples/sec accuracy=11.325893 loss=4.432330 lr=0.013191 Epoch[004] Batch [0749]/[3760] Speed: 162.760444 samples/sec accuracy=11.372917 loss=4.431697 lr=0.013230 Epoch[004] Batch [0799]/[3760] Speed: 160.511441 samples/sec accuracy=11.437500 loss=4.429601 lr=0.013268 Epoch[004] Batch [0849]/[3760] Speed: 161.282383 samples/sec accuracy=11.415441 loss=4.429740 lr=0.013307 Epoch[004] Batch [0899]/[3760] Speed: 159.237035 samples/sec accuracy=11.411458 loss=4.429577 lr=0.013346 Epoch[004] Batch [0949]/[3760] Speed: 162.071785 samples/sec accuracy=11.453947 loss=4.424629 lr=0.013385 Epoch[004] Batch [0999]/[3760] Speed: 160.109142 samples/sec accuracy=11.457813 loss=4.423272 lr=0.013423 Epoch[004] Batch [1049]/[3760] Speed: 160.796699 samples/sec accuracy=11.467262 loss=4.420024 lr=0.013462 Epoch[004] Batch 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accuracy=11.673387 loss=4.409400 lr=0.013849 Epoch[004] Batch [1599]/[3760] Speed: 160.792181 samples/sec accuracy=11.680664 loss=4.407573 lr=0.013888 Epoch[004] Batch [1649]/[3760] Speed: 161.433576 samples/sec accuracy=11.706439 loss=4.405444 lr=0.013927 Epoch[004] Batch [1699]/[3760] Speed: 162.655508 samples/sec accuracy=11.706801 loss=4.405732 lr=0.013966 Epoch[004] Batch [1749]/[3760] Speed: 162.159680 samples/sec accuracy=11.707143 loss=4.404265 lr=0.014004 Epoch[004] Batch [1799]/[3760] Speed: 160.830287 samples/sec accuracy=11.688368 loss=4.402241 lr=0.014043 Epoch[004] Batch [1849]/[3760] Speed: 161.772365 samples/sec accuracy=11.711149 loss=4.400638 lr=0.014082 Epoch[004] Batch [1899]/[3760] Speed: 162.434971 samples/sec accuracy=11.710526 loss=4.398979 lr=0.014120 Epoch[004] Batch [1949]/[3760] Speed: 160.530226 samples/sec accuracy=11.740385 loss=4.396378 lr=0.014159 Epoch[004] Batch [1999]/[3760] Speed: 163.234043 samples/sec accuracy=11.754687 loss=4.395166 lr=0.014198 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loss=4.369969 lr=0.014934 Epoch[004] Batch [2999]/[3760] Speed: 162.727807 samples/sec accuracy=12.071354 loss=4.368740 lr=0.014973 Epoch[004] Batch [3049]/[3760] Speed: 159.495068 samples/sec accuracy=12.099385 loss=4.367434 lr=0.015011 Epoch[004] Batch [3099]/[3760] Speed: 161.770499 samples/sec accuracy=12.107863 loss=4.366665 lr=0.015050 Epoch[004] Batch [3149]/[3760] Speed: 161.075170 samples/sec accuracy=12.123512 loss=4.365373 lr=0.015089 Epoch[004] Batch [3199]/[3760] Speed: 161.261241 samples/sec accuracy=12.128906 loss=4.364473 lr=0.015127 Epoch[004] Batch [3249]/[3760] Speed: 160.135256 samples/sec accuracy=12.149038 loss=4.362584 lr=0.015166 Epoch[004] Batch [3299]/[3760] Speed: 161.673148 samples/sec accuracy=12.154830 loss=4.360844 lr=0.015205 Epoch[004] Batch [3349]/[3760] Speed: 162.518531 samples/sec accuracy=12.160914 loss=4.359955 lr=0.015244 Epoch[004] Batch [3399]/[3760] Speed: 162.543930 samples/sec accuracy=12.171415 loss=4.358828 lr=0.015282 Epoch[004] Batch 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acc-top5=34.506250 Batch [0299]/[0303]: acc-top1=13.401042 acc-top5=34.552083 [Epoch 004] training: accuracy=12.270612 loss=4.349918 [Epoch 004] speed: 160 samples/sec time cost: 1612.912148 [Epoch 004] validation: acc-top1=13.490099 acc-top5=34.617368 loss=4.177076 Epoch[005] Batch [0049]/[3759] Speed: 112.817836 samples/sec accuracy=13.781250 loss=4.219977 lr=0.015600 Epoch[005] Batch [0099]/[3759] Speed: 161.571640 samples/sec accuracy=13.203125 loss=4.238131 lr=0.015639 Epoch[005] Batch [0149]/[3759] Speed: 160.459089 samples/sec accuracy=13.531250 loss=4.236959 lr=0.015677 Epoch[005] Batch [0199]/[3759] Speed: 161.146946 samples/sec accuracy=13.445312 loss=4.243197 lr=0.015716 Epoch[005] Batch [0249]/[3759] Speed: 162.765067 samples/sec accuracy=13.618750 loss=4.237849 lr=0.015755 Epoch[005] Batch [0299]/[3759] Speed: 161.383379 samples/sec accuracy=13.723958 loss=4.233606 lr=0.015794 Epoch[005] Batch [0349]/[3759] Speed: 163.054635 samples/sec accuracy=13.629464 loss=4.231834 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Speed: 160.532626 samples/sec accuracy=13.661765 loss=4.224245 lr=0.016220 Epoch[005] Batch [0899]/[3759] Speed: 161.516322 samples/sec accuracy=13.637153 loss=4.226082 lr=0.016258 Epoch[005] Batch [0949]/[3759] Speed: 160.313136 samples/sec accuracy=13.654605 loss=4.225319 lr=0.016297 Epoch[005] Batch [0999]/[3759] Speed: 160.764706 samples/sec accuracy=13.689062 loss=4.220355 lr=0.016336 Epoch[005] Batch [1049]/[3759] Speed: 164.379430 samples/sec accuracy=13.697917 loss=4.220701 lr=0.016375 Epoch[005] Batch [1099]/[3759] Speed: 159.421784 samples/sec accuracy=13.710227 loss=4.219210 lr=0.016413 Epoch[005] Batch [1149]/[3759] Speed: 162.013595 samples/sec accuracy=13.756793 loss=4.219000 lr=0.016452 Epoch[005] Batch [1199]/[3759] Speed: 163.907049 samples/sec accuracy=13.832031 loss=4.216421 lr=0.016491 Epoch[005] Batch [1249]/[3759] Speed: 160.962055 samples/sec accuracy=13.838750 loss=4.215511 lr=0.016530 Epoch[005] Batch [1299]/[3759] Speed: 159.979321 samples/sec accuracy=13.878606 loss=4.214125 lr=0.016568 Epoch[005] Batch [1349]/[3759] Speed: 163.313096 samples/sec accuracy=13.892361 loss=4.212524 lr=0.016607 Epoch[005] Batch [1399]/[3759] Speed: 161.649071 samples/sec accuracy=13.882812 loss=4.213222 lr=0.016646 Epoch[005] Batch [1449]/[3759] Speed: 163.181446 samples/sec accuracy=13.936422 loss=4.212647 lr=0.016684 Epoch[005] Batch [1499]/[3759] Speed: 160.960190 samples/sec accuracy=13.961458 loss=4.211425 lr=0.016723 Epoch[005] Batch [1549]/[3759] Speed: 161.096866 samples/sec accuracy=13.995968 loss=4.210926 lr=0.016762 Epoch[005] Batch [1599]/[3759] Speed: 161.101634 samples/sec accuracy=13.982422 loss=4.209758 lr=0.016801 Epoch[005] Batch [1649]/[3759] Speed: 162.964266 samples/sec accuracy=13.988636 loss=4.208517 lr=0.016839 Epoch[005] Batch [1699]/[3759] Speed: 160.644166 samples/sec accuracy=13.991728 loss=4.208605 lr=0.016878 Epoch[005] Batch [1749]/[3759] Speed: 163.744252 samples/sec accuracy=14.000893 loss=4.207068 lr=0.016917 Epoch[005] Batch [1799]/[3759] Speed: 161.582263 samples/sec accuracy=13.996528 loss=4.206906 lr=0.016956 Epoch[005] Batch [1849]/[3759] Speed: 160.859578 samples/sec accuracy=14.012669 loss=4.205755 lr=0.016994 Epoch[005] Batch [1899]/[3759] Speed: 160.343730 samples/sec accuracy=14.038651 loss=4.203711 lr=0.017033 Epoch[005] Batch [1949]/[3759] Speed: 163.093899 samples/sec accuracy=14.055288 loss=4.202842 lr=0.017072 Epoch[005] Batch [1999]/[3759] Speed: 159.699720 samples/sec accuracy=14.086719 loss=4.200456 lr=0.017110 Epoch[005] Batch [2049]/[3759] Speed: 161.415310 samples/sec accuracy=14.091463 loss=4.199826 lr=0.017149 Epoch[005] Batch [2099]/[3759] Speed: 161.845927 samples/sec accuracy=14.133185 loss=4.197385 lr=0.017188 Epoch[005] Batch [2149]/[3759] Speed: 161.097891 samples/sec accuracy=14.124273 loss=4.196732 lr=0.017227 Epoch[005] Batch [2199]/[3759] Speed: 161.667130 samples/sec accuracy=14.138494 loss=4.196222 lr=0.017265 Epoch[005] Batch [2249]/[3759] Speed: 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loss=4.183948 lr=0.017653 Epoch[005] Batch [2749]/[3759] Speed: 161.883713 samples/sec accuracy=14.346591 loss=4.182879 lr=0.017691 Epoch[005] Batch [2799]/[3759] Speed: 162.610880 samples/sec accuracy=14.358817 loss=4.181424 lr=0.017730 Epoch[005] Batch [2849]/[3759] Speed: 162.199051 samples/sec accuracy=14.368421 loss=4.181010 lr=0.017769 Epoch[005] Batch [2899]/[3759] Speed: 160.598540 samples/sec accuracy=14.365841 loss=4.181283 lr=0.017808 Epoch[005] Batch [2949]/[3759] Speed: 160.328855 samples/sec accuracy=14.379767 loss=4.180590 lr=0.017846 Epoch[005] Batch [2999]/[3759] Speed: 163.103547 samples/sec accuracy=14.408333 loss=4.178356 lr=0.017885 Epoch[005] Batch [3049]/[3759] Speed: 160.548009 samples/sec accuracy=14.425205 loss=4.177512 lr=0.017924 Epoch[005] Batch [3099]/[3759] Speed: 159.693112 samples/sec accuracy=14.424899 loss=4.176516 lr=0.017963 Epoch[005] Batch [3149]/[3759] Speed: 160.500491 samples/sec accuracy=14.464286 loss=4.174249 lr=0.018001 Epoch[005] Batch [3199]/[3759] Speed: 160.106048 samples/sec accuracy=14.490234 loss=4.172674 lr=0.018040 Epoch[005] Batch [3249]/[3759] Speed: 163.531809 samples/sec accuracy=14.481731 loss=4.172814 lr=0.018079 Epoch[005] Batch [3299]/[3759] Speed: 161.302727 samples/sec accuracy=14.484848 loss=4.172175 lr=0.018117 Epoch[005] Batch [3349]/[3759] Speed: 161.880487 samples/sec accuracy=14.498601 loss=4.170255 lr=0.018156 Epoch[005] Batch [3399]/[3759] Speed: 160.815466 samples/sec accuracy=14.509191 loss=4.169034 lr=0.018195 Epoch[005] Batch [3449]/[3759] Speed: 160.520991 samples/sec accuracy=14.526268 loss=4.167257 lr=0.018234 Epoch[005] Batch [3499]/[3759] Speed: 160.433773 samples/sec accuracy=14.540625 loss=4.165563 lr=0.018272 Epoch[005] Batch [3549]/[3759] Speed: 160.974589 samples/sec accuracy=14.551056 loss=4.164989 lr=0.018311 Epoch[005] Batch [3599]/[3759] Speed: 161.005403 samples/sec accuracy=14.569878 loss=4.163302 lr=0.018350 Epoch[005] Batch [3649]/[3759] Speed: 161.434599 samples/sec accuracy=14.588613 loss=4.162059 lr=0.018389 Epoch[005] Batch [3699]/[3759] Speed: 162.642123 samples/sec accuracy=14.585726 loss=4.161189 lr=0.018427 Epoch[005] Batch [3749]/[3759] Speed: 174.714670 samples/sec accuracy=14.610417 loss=4.159346 lr=0.018466 Batch [0049]/[0303]: acc-top1=12.843750 acc-top5=34.375000 Batch [0099]/[0303]: acc-top1=13.406250 acc-top5=33.953125 Batch [0149]/[0303]: acc-top1=15.260417 acc-top5=35.583333 Batch [0199]/[0303]: acc-top1=16.078125 acc-top5=36.835938 Batch [0249]/[0303]: acc-top1=15.687500 acc-top5=36.718750 Batch [0299]/[0303]: acc-top1=15.083333 acc-top5=36.812500 [Epoch 005] training: accuracy=14.615340 loss=4.159089 [Epoch 005] speed: 161 samples/sec time cost: 1610.891668 [Epoch 005] validation: acc-top1=15.124794 acc-top5=36.829620 loss=4.141452 Epoch[006] Batch [0049]/[3760] Speed: 113.025136 samples/sec accuracy=14.437500 loss=4.100524 lr=0.018512 Epoch[006] Batch [0099]/[3760] Speed: 162.052460 samples/sec accuracy=15.421875 loss=4.060800 lr=0.018551 Epoch[006] Batch [0149]/[3760] Speed: 162.731951 samples/sec accuracy=15.125000 loss=4.075474 lr=0.018589 Epoch[006] Batch [0199]/[3760] Speed: 162.834450 samples/sec accuracy=15.390625 loss=4.070734 lr=0.018628 Epoch[006] Batch [0249]/[3760] Speed: 161.949051 samples/sec accuracy=15.587500 loss=4.069152 lr=0.018667 Epoch[006] Batch [0299]/[3760] Speed: 162.834392 samples/sec accuracy=15.572917 loss=4.066712 lr=0.018705 Epoch[006] Batch [0349]/[3760] Speed: 160.692237 samples/sec accuracy=15.544643 loss=4.063997 lr=0.018744 Epoch[006] Batch [0399]/[3760] Speed: 160.395631 samples/sec accuracy=15.597656 loss=4.061467 lr=0.018783 Epoch[006] Batch [0449]/[3760] Speed: 161.104272 samples/sec accuracy=15.572917 loss=4.056332 lr=0.018822 Epoch[006] Batch [0499]/[3760] Speed: 161.868539 samples/sec accuracy=15.731250 loss=4.053029 lr=0.018860 Epoch[006] Batch [0549]/[3760] Speed: 162.343807 samples/sec accuracy=15.619318 loss=4.054275 lr=0.018899 Epoch[006] Batch [0599]/[3760] 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accuracy=15.843750 loss=4.049784 lr=0.019286 Epoch[006] Batch [1099]/[3760] Speed: 163.184041 samples/sec accuracy=15.873580 loss=4.047674 lr=0.019325 Epoch[006] Batch [1149]/[3760] Speed: 161.582259 samples/sec accuracy=15.866848 loss=4.049940 lr=0.019364 Epoch[006] Batch [1199]/[3760] Speed: 161.502342 samples/sec accuracy=15.932292 loss=4.049143 lr=0.019403 Epoch[006] Batch [1249]/[3760] Speed: 160.646604 samples/sec accuracy=15.946250 loss=4.048642 lr=0.019441 Epoch[006] Batch [1299]/[3760] Speed: 161.709657 samples/sec accuracy=15.954327 loss=4.047777 lr=0.019480 Epoch[006] Batch [1349]/[3760] Speed: 160.963267 samples/sec accuracy=15.958333 loss=4.046833 lr=0.019519 Epoch[006] Batch [1399]/[3760] Speed: 162.344455 samples/sec accuracy=15.962054 loss=4.046490 lr=0.019558 Epoch[006] Batch [1449]/[3760] Speed: 160.542022 samples/sec accuracy=15.960129 loss=4.045800 lr=0.019596 Epoch[006] Batch [1499]/[3760] Speed: 162.384268 samples/sec accuracy=16.009375 loss=4.044144 lr=0.019635 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accuracy=16.576287 loss=4.007835 lr=0.021107 Epoch[006] Batch [3449]/[3760] Speed: 162.357738 samples/sec accuracy=16.591938 loss=4.007192 lr=0.021145 Epoch[006] Batch [3499]/[3760] Speed: 160.322736 samples/sec accuracy=16.616071 loss=4.006563 lr=0.021184 Epoch[006] Batch [3549]/[3760] Speed: 160.497775 samples/sec accuracy=16.632923 loss=4.005624 lr=0.021223 Epoch[006] Batch [3599]/[3760] Speed: 162.724602 samples/sec accuracy=16.640625 loss=4.004621 lr=0.021262 Epoch[006] Batch [3649]/[3760] Speed: 162.028980 samples/sec accuracy=16.666524 loss=4.003619 lr=0.021300 Epoch[006] Batch [3699]/[3760] Speed: 163.579463 samples/sec accuracy=16.672297 loss=4.003228 lr=0.021339 Epoch[006] Batch [3749]/[3760] Speed: 174.957065 samples/sec accuracy=16.690000 loss=4.002274 lr=0.021378 Batch [0049]/[0303]: acc-top1=17.375000 acc-top5=40.812500 Batch [0099]/[0303]: acc-top1=16.171875 acc-top5=38.250000 Batch [0149]/[0303]: acc-top1=16.791667 acc-top5=39.500000 Batch [0199]/[0303]: acc-top1=17.796875 acc-top5=40.585938 Batch [0249]/[0303]: acc-top1=17.756250 acc-top5=40.625000 Batch [0299]/[0303]: acc-top1=17.473958 acc-top5=41.036458 [Epoch 006] training: accuracy=16.691739 loss=4.002333 [Epoch 006] speed: 161 samples/sec time cost: 1609.918123 [Epoch 006] validation: acc-top1=17.455652 acc-top5=41.037541 loss=3.914612 Epoch[007] Batch [0049]/[3760] Speed: 113.120152 samples/sec accuracy=18.531250 loss=3.845616 lr=0.021424 Epoch[007] Batch [0099]/[3760] Speed: 160.592332 samples/sec accuracy=18.015625 loss=3.897868 lr=0.021463 Epoch[007] Batch [0149]/[3760] Speed: 163.474400 samples/sec accuracy=18.312500 loss=3.897654 lr=0.021502 Epoch[007] Batch [0199]/[3760] Speed: 162.358976 samples/sec accuracy=18.171875 loss=3.911273 lr=0.021541 Epoch[007] Batch [0249]/[3760] Speed: 162.676651 samples/sec accuracy=18.193750 loss=3.914241 lr=0.021579 Epoch[007] Batch [0299]/[3760] Speed: 163.373156 samples/sec accuracy=18.161458 loss=3.908329 lr=0.021618 Epoch[007] Batch 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accuracy=18.175781 loss=3.902400 lr=0.022005 Epoch[007] Batch [0849]/[3760] Speed: 161.307244 samples/sec accuracy=18.152574 loss=3.902935 lr=0.022044 Epoch[007] Batch [0899]/[3760] Speed: 163.835042 samples/sec accuracy=18.098958 loss=3.905995 lr=0.022083 Epoch[007] Batch [0949]/[3760] Speed: 162.629829 samples/sec accuracy=18.185855 loss=3.903534 lr=0.022121 Epoch[007] Batch [0999]/[3760] Speed: 162.646673 samples/sec accuracy=18.173437 loss=3.904311 lr=0.022160 Epoch[007] Batch [1049]/[3760] Speed: 160.877453 samples/sec accuracy=18.194940 loss=3.903181 lr=0.022199 Epoch[007] Batch [1099]/[3760] Speed: 161.063112 samples/sec accuracy=18.208807 loss=3.902975 lr=0.022238 Epoch[007] Batch [1149]/[3760] Speed: 162.377858 samples/sec accuracy=18.190217 loss=3.903119 lr=0.022276 Epoch[007] Batch [1199]/[3760] Speed: 160.774431 samples/sec accuracy=18.187500 loss=3.899768 lr=0.022315 Epoch[007] Batch [1249]/[3760] Speed: 161.882729 samples/sec accuracy=18.233750 loss=3.899014 lr=0.022354 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loss=3.886486 lr=0.023090 Epoch[007] Batch [2249]/[3760] Speed: 162.822500 samples/sec accuracy=18.370139 loss=3.886150 lr=0.023129 Epoch[007] Batch [2299]/[3760] Speed: 161.296297 samples/sec accuracy=18.377717 loss=3.886275 lr=0.023167 Epoch[007] Batch [2349]/[3760] Speed: 163.890836 samples/sec accuracy=18.369681 loss=3.885748 lr=0.023206 Epoch[007] Batch [2399]/[3760] Speed: 161.274635 samples/sec accuracy=18.395833 loss=3.885717 lr=0.023245 Epoch[007] Batch [2449]/[3760] Speed: 163.127161 samples/sec accuracy=18.405612 loss=3.884879 lr=0.023283 Epoch[007] Batch [2499]/[3760] Speed: 162.458400 samples/sec accuracy=18.418750 loss=3.883335 lr=0.023322 Epoch[007] Batch [2549]/[3760] Speed: 163.806751 samples/sec accuracy=18.424020 loss=3.883125 lr=0.023361 Epoch[007] Batch [2599]/[3760] Speed: 162.033628 samples/sec accuracy=18.423077 loss=3.883100 lr=0.023400 Epoch[007] Batch [2649]/[3760] Speed: 164.996279 samples/sec accuracy=18.423349 loss=3.882863 lr=0.023438 Epoch[007] Batch 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accuracy=18.593750 loss=3.875080 lr=0.023826 Epoch[007] Batch [3199]/[3760] Speed: 163.896141 samples/sec accuracy=18.612793 loss=3.874262 lr=0.023864 Epoch[007] Batch [3249]/[3760] Speed: 162.511124 samples/sec accuracy=18.619712 loss=3.874040 lr=0.023903 Epoch[007] Batch [3299]/[3760] Speed: 163.724805 samples/sec accuracy=18.629735 loss=3.872914 lr=0.023942 Epoch[007] Batch [3349]/[3760] Speed: 164.729196 samples/sec accuracy=18.647854 loss=3.871815 lr=0.023981 Epoch[007] Batch [3399]/[3760] Speed: 160.935385 samples/sec accuracy=18.661305 loss=3.870906 lr=0.024019 Epoch[007] Batch [3449]/[3760] Speed: 162.418851 samples/sec accuracy=18.649004 loss=3.871530 lr=0.024058 Epoch[007] Batch [3499]/[3760] Speed: 162.709483 samples/sec accuracy=18.681696 loss=3.870194 lr=0.024097 Epoch[007] Batch [3549]/[3760] Speed: 161.730431 samples/sec accuracy=18.686620 loss=3.869743 lr=0.024136 Epoch[007] Batch [3599]/[3760] Speed: 162.000916 samples/sec accuracy=18.702257 loss=3.869040 lr=0.024174 Epoch[007] Batch [3649]/[3760] Speed: 163.017668 samples/sec accuracy=18.720890 loss=3.868213 lr=0.024213 Epoch[007] Batch [3699]/[3760] Speed: 162.184404 samples/sec accuracy=18.728885 loss=3.866653 lr=0.024252 Epoch[007] Batch [3749]/[3760] Speed: 172.248668 samples/sec accuracy=18.725833 loss=3.866289 lr=0.024290 Batch [0049]/[0303]: acc-top1=20.562500 acc-top5=43.875000 Batch [0099]/[0303]: acc-top1=20.437500 acc-top5=44.343750 Batch [0149]/[0303]: acc-top1=20.625000 acc-top5=44.947917 Batch [0199]/[0303]: acc-top1=22.070312 acc-top5=46.304688 Batch [0249]/[0303]: acc-top1=22.118750 acc-top5=46.487500 Batch [0299]/[0303]: acc-top1=21.468750 acc-top5=46.489583 [Epoch 007] training: accuracy=18.721326 loss=3.866513 [Epoch 007] speed: 161 samples/sec time cost: 1604.732813 [Epoch 007] validation: acc-top1=21.452145 acc-top5=46.467616 loss=3.683793 Epoch[008] Batch [0049]/[3759] Speed: 113.557377 samples/sec accuracy=19.343750 loss=3.759409 lr=0.024337 Epoch[008] Batch [0099]/[3759] 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accuracy=20.375539 loss=3.761848 lr=0.026545 Epoch[008] Batch [2949]/[3759] Speed: 164.068643 samples/sec accuracy=20.381356 loss=3.760965 lr=0.026583 Epoch[008] Batch [2999]/[3759] Speed: 162.817841 samples/sec accuracy=20.402083 loss=3.760280 lr=0.026622 Epoch[008] Batch [3049]/[3759] Speed: 162.461967 samples/sec accuracy=20.415984 loss=3.759736 lr=0.026661 Epoch[008] Batch [3099]/[3759] Speed: 164.598653 samples/sec accuracy=20.449093 loss=3.758738 lr=0.026699 Epoch[008] Batch [3149]/[3759] Speed: 164.036762 samples/sec accuracy=20.473710 loss=3.757968 lr=0.026738 Epoch[008] Batch [3199]/[3759] Speed: 161.583842 samples/sec accuracy=20.455566 loss=3.758068 lr=0.026777 Epoch[008] Batch [3249]/[3759] Speed: 163.427244 samples/sec accuracy=20.453846 loss=3.758099 lr=0.026816 Epoch[008] Batch [3299]/[3759] Speed: 162.231237 samples/sec accuracy=20.490530 loss=3.756795 lr=0.026854 Epoch[008] Batch [3349]/[3759] Speed: 161.663460 samples/sec accuracy=20.489739 loss=3.756790 lr=0.026893 Epoch[008] Batch [3399]/[3759] Speed: 163.310813 samples/sec accuracy=20.485294 loss=3.756041 lr=0.026932 Epoch[008] Batch [3449]/[3759] Speed: 162.949303 samples/sec accuracy=20.478714 loss=3.755948 lr=0.026971 Epoch[008] Batch [3499]/[3759] Speed: 161.713337 samples/sec accuracy=20.473214 loss=3.756209 lr=0.027009 Epoch[008] Batch [3549]/[3759] Speed: 162.527275 samples/sec accuracy=20.470511 loss=3.756063 lr=0.027048 Epoch[008] Batch [3599]/[3759] Speed: 163.598592 samples/sec accuracy=20.454861 loss=3.756032 lr=0.027087 Epoch[008] Batch [3649]/[3759] Speed: 162.383987 samples/sec accuracy=20.456764 loss=3.755415 lr=0.027126 Epoch[008] Batch [3699]/[3759] Speed: 163.138804 samples/sec accuracy=20.457770 loss=3.755401 lr=0.027164 Epoch[008] Batch [3749]/[3759] Speed: 175.450104 samples/sec accuracy=20.473750 loss=3.754388 lr=0.027203 Batch [0049]/[0303]: acc-top1=19.500000 acc-top5=44.343750 Batch [0099]/[0303]: acc-top1=19.343750 acc-top5=43.593750 Batch [0149]/[0303]: acc-top1=21.270833 acc-top5=46.218750 Batch [0199]/[0303]: acc-top1=22.914062 acc-top5=47.820312 Batch [0249]/[0303]: acc-top1=22.668750 acc-top5=47.637500 Batch [0299]/[0303]: acc-top1=21.911458 acc-top5=47.338542 [Epoch 008] training: accuracy=20.474195 loss=3.754363 [Epoch 008] speed: 161 samples/sec time cost: 1601.754581 [Epoch 008] validation: acc-top1=21.972979 acc-top5=47.390677 loss=3.641238 Epoch[009] Batch [0049]/[3760] Speed: 117.095069 samples/sec accuracy=21.531250 loss=3.676895 lr=0.027249 Epoch[009] Batch [0099]/[3760] Speed: 161.891211 samples/sec accuracy=21.812500 loss=3.674618 lr=0.027287 Epoch[009] Batch [0149]/[3760] Speed: 161.487654 samples/sec accuracy=21.666667 loss=3.672579 lr=0.027326 Epoch[009] Batch [0199]/[3760] Speed: 164.146338 samples/sec accuracy=21.710938 loss=3.665412 lr=0.027365 Epoch[009] Batch [0249]/[3760] Speed: 161.806635 samples/sec accuracy=21.718750 loss=3.666190 lr=0.027404 Epoch[009] Batch [0299]/[3760] Speed: 163.739679 samples/sec accuracy=21.755208 loss=3.666189 lr=0.027442 Epoch[009] Batch [0349]/[3760] Speed: 163.606290 samples/sec accuracy=21.732143 loss=3.673904 lr=0.027481 Epoch[009] Batch [0399]/[3760] Speed: 163.492791 samples/sec accuracy=21.726562 loss=3.673010 lr=0.027520 Epoch[009] Batch [0449]/[3760] Speed: 162.918538 samples/sec accuracy=21.486111 loss=3.687008 lr=0.027559 Epoch[009] Batch [0499]/[3760] Speed: 163.978176 samples/sec accuracy=21.518750 loss=3.682311 lr=0.027597 Epoch[009] Batch [0549]/[3760] Speed: 162.704011 samples/sec accuracy=21.565341 loss=3.679233 lr=0.027636 Epoch[009] Batch [0599]/[3760] Speed: 164.768654 samples/sec accuracy=21.598958 loss=3.679000 lr=0.027675 Epoch[009] Batch [0649]/[3760] Speed: 161.103187 samples/sec accuracy=21.564904 loss=3.677706 lr=0.027713 Epoch[009] Batch [0699]/[3760] Speed: 164.354668 samples/sec accuracy=21.602679 loss=3.678207 lr=0.027752 Epoch[009] Batch [0749]/[3760] Speed: 163.843054 samples/sec accuracy=21.612500 loss=3.676585 lr=0.027791 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accuracy=21.743514 loss=3.670781 lr=0.029263 Epoch[009] Batch [2699]/[3760] Speed: 162.624812 samples/sec accuracy=21.737847 loss=3.671114 lr=0.029301 Epoch[009] Batch [2749]/[3760] Speed: 164.325647 samples/sec accuracy=21.742045 loss=3.672191 lr=0.029340 Epoch[009] Batch [2799]/[3760] Speed: 164.500702 samples/sec accuracy=21.752790 loss=3.671066 lr=0.029379 Epoch[009] Batch [2849]/[3760] Speed: 162.625721 samples/sec accuracy=21.753289 loss=3.670595 lr=0.029418 Epoch[009] Batch [2899]/[3760] Speed: 163.576002 samples/sec accuracy=21.763470 loss=3.669420 lr=0.029456 Epoch[009] Batch [2949]/[3760] Speed: 163.032541 samples/sec accuracy=21.782839 loss=3.669199 lr=0.029495 Epoch[009] Batch [2999]/[3760] Speed: 164.519025 samples/sec accuracy=21.792187 loss=3.668642 lr=0.029534 Epoch[009] Batch [3049]/[3760] Speed: 162.604953 samples/sec accuracy=21.801742 loss=3.668447 lr=0.029573 Epoch[009] Batch [3099]/[3760] Speed: 165.415029 samples/sec accuracy=21.802923 loss=3.668511 lr=0.029611 Epoch[009] Batch [3149]/[3760] Speed: 161.503755 samples/sec accuracy=21.805060 loss=3.668524 lr=0.029650 Epoch[009] Batch [3199]/[3760] Speed: 161.144647 samples/sec accuracy=21.823730 loss=3.667318 lr=0.029689 Epoch[009] Batch [3249]/[3760] Speed: 161.733976 samples/sec accuracy=21.824519 loss=3.667184 lr=0.029727 Epoch[009] Batch [3299]/[3760] Speed: 163.809952 samples/sec accuracy=21.816288 loss=3.667100 lr=0.029766 Epoch[009] Batch [3349]/[3760] Speed: 161.685564 samples/sec accuracy=21.837687 loss=3.666835 lr=0.029805 Epoch[009] Batch [3399]/[3760] Speed: 162.340636 samples/sec accuracy=21.838695 loss=3.666587 lr=0.029844 Epoch[009] Batch [3449]/[3760] Speed: 160.126779 samples/sec accuracy=21.843297 loss=3.665703 lr=0.029882 Epoch[009] Batch [3499]/[3760] Speed: 162.775421 samples/sec accuracy=21.862946 loss=3.664716 lr=0.029921 Epoch[009] Batch [3549]/[3760] Speed: 163.334423 samples/sec accuracy=21.889085 loss=3.663541 lr=0.029960 Epoch[009] Batch [3599]/[3760] Speed: 162.731049 samples/sec accuracy=21.886719 loss=3.663359 lr=0.029999 Epoch[009] Batch [3649]/[3760] Speed: 161.238370 samples/sec accuracy=21.900257 loss=3.662691 lr=0.030037 Epoch[009] Batch [3699]/[3760] Speed: 160.716747 samples/sec accuracy=21.913429 loss=3.661867 lr=0.030076 Epoch[009] Batch [3749]/[3760] Speed: 175.438016 samples/sec accuracy=21.913333 loss=3.661260 lr=0.030115 Batch [0049]/[0303]: acc-top1=22.906250 acc-top5=48.656250 Batch [0099]/[0303]: acc-top1=22.171875 acc-top5=47.359375 Batch [0149]/[0303]: acc-top1=22.958333 acc-top5=48.427083 Batch [0199]/[0303]: acc-top1=24.507812 acc-top5=49.406250 Batch [0249]/[0303]: acc-top1=23.850000 acc-top5=49.268750 Batch [0299]/[0303]: acc-top1=23.307292 acc-top5=49.395833 [Epoch 009] training: accuracy=21.913647 loss=3.661086 [Epoch 009] speed: 162 samples/sec time cost: 1600.822513 [Epoch 009] validation: acc-top1=23.380776 acc-top5=49.463696 loss=3.541678 Epoch[010] Batch [0049]/[3760] Speed: 113.438963 samples/sec accuracy=22.812500 loss=3.619725 lr=0.030161 Epoch[010] Batch [0099]/[3760] Speed: 160.714671 samples/sec accuracy=22.968750 loss=3.611010 lr=0.030200 Epoch[010] Batch [0149]/[3760] Speed: 163.516558 samples/sec accuracy=23.239583 loss=3.599024 lr=0.030239 Epoch[010] Batch [0199]/[3760] Speed: 162.691210 samples/sec accuracy=23.093750 loss=3.595882 lr=0.030277 Epoch[010] Batch [0249]/[3760] Speed: 162.259970 samples/sec accuracy=23.056250 loss=3.602823 lr=0.030316 Epoch[010] Batch [0299]/[3760] Speed: 164.660608 samples/sec accuracy=22.885417 loss=3.607986 lr=0.030355 Epoch[010] Batch [0349]/[3760] Speed: 161.470573 samples/sec accuracy=22.924107 loss=3.604789 lr=0.030394 Epoch[010] Batch [0399]/[3760] Speed: 163.789386 samples/sec accuracy=22.832031 loss=3.606413 lr=0.030432 Epoch[010] Batch [0449]/[3760] Speed: 165.255252 samples/sec accuracy=22.902778 loss=3.605173 lr=0.030471 Epoch[010] Batch [0499]/[3760] Speed: 165.680054 samples/sec accuracy=22.956250 loss=3.606854 lr=0.030510 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Epoch[010] Batch [2899]/[3760] Speed: 163.813272 samples/sec accuracy=23.075431 loss=3.588346 lr=0.032369 Epoch[010] Batch [2949]/[3760] Speed: 161.702135 samples/sec accuracy=23.072034 loss=3.588020 lr=0.032408 Epoch[010] Batch [2999]/[3760] Speed: 163.424335 samples/sec accuracy=23.088021 loss=3.587194 lr=0.032446 Epoch[010] Batch [3049]/[3760] Speed: 162.971718 samples/sec accuracy=23.079406 loss=3.586731 lr=0.032485 Epoch[010] Batch [3099]/[3760] Speed: 164.953920 samples/sec accuracy=23.107863 loss=3.585832 lr=0.032524 Epoch[010] Batch [3149]/[3760] Speed: 162.642144 samples/sec accuracy=23.103671 loss=3.586338 lr=0.032563 Epoch[010] Batch [3199]/[3760] Speed: 162.966601 samples/sec accuracy=23.098633 loss=3.586146 lr=0.032601 Epoch[010] Batch [3249]/[3760] Speed: 164.092910 samples/sec accuracy=23.107212 loss=3.586239 lr=0.032640 Epoch[010] Batch [3299]/[3760] Speed: 163.609391 samples/sec accuracy=23.121686 loss=3.585567 lr=0.032679 Epoch[010] Batch [3349]/[3760] Speed: 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acc-top1=23.609375 acc-top5=48.953125 Batch [0149]/[0303]: acc-top1=24.562500 acc-top5=50.500000 Batch [0199]/[0303]: acc-top1=26.617188 acc-top5=52.312500 Batch [0249]/[0303]: acc-top1=26.675000 acc-top5=52.506250 Batch [0299]/[0303]: acc-top1=26.057292 acc-top5=52.697917 [Epoch 010] training: accuracy=23.224734 loss=3.579502 [Epoch 010] speed: 162 samples/sec time cost: 1598.722714 [Epoch 010] validation: acc-top1=26.046823 acc-top5=52.640264 loss=3.405507 Epoch[011] Batch [0049]/[3759] Speed: 114.645847 samples/sec accuracy=23.843750 loss=3.516259 lr=0.033074 Epoch[011] Batch [0099]/[3759] Speed: 165.221839 samples/sec accuracy=24.109375 loss=3.507834 lr=0.033113 Epoch[011] Batch [0149]/[3759] Speed: 161.678096 samples/sec accuracy=23.812500 loss=3.516916 lr=0.033151 Epoch[011] Batch [0199]/[3759] Speed: 161.099180 samples/sec accuracy=23.742188 loss=3.535467 lr=0.033190 Epoch[011] Batch [0249]/[3759] Speed: 162.669934 samples/sec accuracy=24.150000 loss=3.515615 lr=0.033229 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loss=3.529509 lr=0.033965 Epoch[011] Batch [1249]/[3759] Speed: 162.760936 samples/sec accuracy=24.097500 loss=3.530496 lr=0.034003 Epoch[011] Batch [1299]/[3759] Speed: 163.963870 samples/sec accuracy=24.108173 loss=3.529481 lr=0.034042 Epoch[011] Batch [1349]/[3759] Speed: 162.758037 samples/sec accuracy=24.077546 loss=3.531563 lr=0.034081 Epoch[011] Batch [1399]/[3759] Speed: 164.944488 samples/sec accuracy=24.106027 loss=3.531465 lr=0.034120 Epoch[011] Batch [1449]/[3759] Speed: 163.375240 samples/sec accuracy=24.099138 loss=3.532038 lr=0.034158 Epoch[011] Batch [1499]/[3759] Speed: 161.475832 samples/sec accuracy=24.106250 loss=3.531547 lr=0.034197 Epoch[011] Batch [1549]/[3759] Speed: 164.683042 samples/sec accuracy=24.135081 loss=3.530796 lr=0.034236 Epoch[011] Batch [1599]/[3759] Speed: 165.155161 samples/sec accuracy=24.114258 loss=3.531323 lr=0.034274 Epoch[011] Batch [1649]/[3759] Speed: 164.453209 samples/sec accuracy=24.084280 loss=3.532500 lr=0.034313 Epoch[011] Batch 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accuracy=24.127180 loss=3.525454 lr=0.034701 Epoch[011] Batch [2199]/[3759] Speed: 162.859033 samples/sec accuracy=24.091619 loss=3.525740 lr=0.034739 Epoch[011] Batch [2249]/[3759] Speed: 160.723279 samples/sec accuracy=24.102083 loss=3.525062 lr=0.034778 Epoch[011] Batch [2299]/[3759] Speed: 164.483917 samples/sec accuracy=24.123641 loss=3.523865 lr=0.034817 Epoch[011] Batch [2349]/[3759] Speed: 161.598270 samples/sec accuracy=24.139628 loss=3.523843 lr=0.034855 Epoch[011] Batch [2399]/[3759] Speed: 164.289486 samples/sec accuracy=24.160807 loss=3.522818 lr=0.034894 Epoch[011] Batch [2449]/[3759] Speed: 164.802414 samples/sec accuracy=24.154337 loss=3.523443 lr=0.034933 Epoch[011] Batch [2499]/[3759] Speed: 162.971684 samples/sec accuracy=24.166875 loss=3.523031 lr=0.034972 Epoch[011] Batch [2549]/[3759] Speed: 163.521977 samples/sec accuracy=24.166054 loss=3.522768 lr=0.035010 Epoch[011] Batch [2599]/[3759] Speed: 162.946375 samples/sec accuracy=24.174880 loss=3.522765 lr=0.035049 Epoch[011] Batch [2649]/[3759] Speed: 165.481725 samples/sec accuracy=24.212264 loss=3.522263 lr=0.035088 Epoch[011] Batch [2699]/[3759] Speed: 162.766174 samples/sec accuracy=24.208333 loss=3.521569 lr=0.035127 Epoch[011] Batch [2749]/[3759] Speed: 161.960302 samples/sec accuracy=24.200000 loss=3.521233 lr=0.035165 Epoch[011] Batch [2799]/[3759] Speed: 162.870855 samples/sec accuracy=24.183036 loss=3.521843 lr=0.035204 Epoch[011] Batch [2849]/[3759] Speed: 162.088716 samples/sec accuracy=24.206140 loss=3.520479 lr=0.035243 Epoch[011] Batch [2899]/[3759] Speed: 164.710988 samples/sec accuracy=24.211207 loss=3.520012 lr=0.035281 Epoch[011] Batch [2949]/[3759] Speed: 164.865533 samples/sec accuracy=24.210275 loss=3.519056 lr=0.035320 Epoch[011] Batch [2999]/[3759] Speed: 162.187991 samples/sec accuracy=24.223958 loss=3.518445 lr=0.035359 Epoch[011] Batch [3049]/[3759] Speed: 163.434990 samples/sec accuracy=24.230533 loss=3.518281 lr=0.035398 Epoch[011] Batch [3099]/[3759] Speed: 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loss=3.517491 lr=0.035785 Epoch[011] Batch [3599]/[3759] Speed: 161.477279 samples/sec accuracy=24.276910 loss=3.516068 lr=0.035824 Epoch[011] Batch [3649]/[3759] Speed: 161.957870 samples/sec accuracy=24.268408 loss=3.516567 lr=0.035862 Epoch[011] Batch [3699]/[3759] Speed: 162.037421 samples/sec accuracy=24.272804 loss=3.516651 lr=0.035901 Epoch[011] Batch [3749]/[3759] Speed: 175.831417 samples/sec accuracy=24.277500 loss=3.516362 lr=0.035940 Batch [0049]/[0303]: acc-top1=22.843750 acc-top5=48.812500 Batch [0099]/[0303]: acc-top1=21.093750 acc-top5=45.921875 Batch [0149]/[0303]: acc-top1=22.427083 acc-top5=47.635417 Batch [0199]/[0303]: acc-top1=25.414062 acc-top5=50.554687 Batch [0249]/[0303]: acc-top1=25.025000 acc-top5=50.737500 Batch [0299]/[0303]: acc-top1=24.677083 acc-top5=51.005208 [Epoch 011] training: accuracy=24.280893 loss=3.516364 [Epoch 011] speed: 162 samples/sec time cost: 1596.236946 [Epoch 011] validation: acc-top1=24.685437 acc-top5=50.974629 loss=3.494521 Epoch[012] Batch [0049]/[3760] Speed: 113.572633 samples/sec accuracy=22.625000 loss=3.481061 lr=0.035986 Epoch[012] Batch [0099]/[3760] Speed: 164.915220 samples/sec accuracy=23.671875 loss=3.462049 lr=0.036024 Epoch[012] Batch [0149]/[3760] Speed: 164.402029 samples/sec accuracy=23.937500 loss=3.476387 lr=0.036063 Epoch[012] Batch [0199]/[3760] Speed: 161.909695 samples/sec accuracy=24.187500 loss=3.478013 lr=0.036102 Epoch[012] Batch [0249]/[3760] Speed: 164.519373 samples/sec accuracy=24.287500 loss=3.489033 lr=0.036141 Epoch[012] Batch [0299]/[3760] Speed: 162.694405 samples/sec accuracy=24.156250 loss=3.489135 lr=0.036179 Epoch[012] Batch [0349]/[3760] Speed: 162.814515 samples/sec accuracy=24.169643 loss=3.491258 lr=0.036218 Epoch[012] Batch [0399]/[3760] Speed: 163.766383 samples/sec accuracy=24.285156 loss=3.486072 lr=0.036257 Epoch[012] Batch [0449]/[3760] Speed: 164.246385 samples/sec accuracy=24.243056 loss=3.487641 lr=0.036295 Epoch[012] Batch [0499]/[3760] Speed: 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accuracy=24.935033 loss=3.472003 lr=0.037419 Epoch[012] Batch [1949]/[3760] Speed: 163.576036 samples/sec accuracy=24.912660 loss=3.472357 lr=0.037457 Epoch[012] Batch [1999]/[3760] Speed: 162.535033 samples/sec accuracy=24.907031 loss=3.471616 lr=0.037496 Epoch[012] Batch [2049]/[3760] Speed: 164.512971 samples/sec accuracy=24.936738 loss=3.471094 lr=0.037535 Epoch[012] Batch [2099]/[3760] Speed: 162.776593 samples/sec accuracy=24.959077 loss=3.471382 lr=0.037574 Epoch[012] Batch [2149]/[3760] Speed: 164.545789 samples/sec accuracy=24.965116 loss=3.471345 lr=0.037612 Epoch[012] Batch [2199]/[3760] Speed: 164.376332 samples/sec accuracy=24.953125 loss=3.472444 lr=0.037651 Epoch[012] Batch [2249]/[3760] Speed: 163.206769 samples/sec accuracy=24.991667 loss=3.471439 lr=0.037690 Epoch[012] Batch [2299]/[3760] Speed: 164.319942 samples/sec accuracy=24.995245 loss=3.471455 lr=0.037728 Epoch[012] Batch [2349]/[3760] Speed: 164.403650 samples/sec accuracy=25.020612 loss=3.471033 lr=0.037767 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loss=3.464432 lr=0.038503 Epoch[012] Batch [3349]/[3760] Speed: 162.484695 samples/sec accuracy=25.118004 loss=3.463205 lr=0.038542 Epoch[012] Batch [3399]/[3760] Speed: 163.028153 samples/sec accuracy=25.122243 loss=3.463403 lr=0.038581 Epoch[012] Batch [3449]/[3760] Speed: 164.536075 samples/sec accuracy=25.093297 loss=3.464039 lr=0.038619 Epoch[012] Batch [3499]/[3760] Speed: 162.739528 samples/sec accuracy=25.093304 loss=3.464163 lr=0.038658 Epoch[012] Batch [3549]/[3760] Speed: 163.274078 samples/sec accuracy=25.098592 loss=3.464171 lr=0.038697 Epoch[012] Batch [3599]/[3760] Speed: 163.325803 samples/sec accuracy=25.100260 loss=3.463808 lr=0.038735 Epoch[012] Batch [3649]/[3760] Speed: 163.968024 samples/sec accuracy=25.105308 loss=3.464107 lr=0.038774 Epoch[012] Batch [3699]/[3760] Speed: 162.949010 samples/sec accuracy=25.116554 loss=3.463341 lr=0.038813 Epoch[012] Batch [3749]/[3760] Speed: 176.287054 samples/sec accuracy=25.111250 loss=3.463270 lr=0.038852 Batch [0049]/[0303]: acc-top1=27.187500 acc-top5=54.781250 Batch [0099]/[0303]: acc-top1=24.812500 acc-top5=51.468750 Batch [0149]/[0303]: acc-top1=25.552083 acc-top5=52.385417 Batch [0199]/[0303]: acc-top1=28.359375 acc-top5=54.726562 Batch [0249]/[0303]: acc-top1=27.725000 acc-top5=54.393750 Batch [0299]/[0303]: acc-top1=27.239583 acc-top5=54.114583 [Epoch 012] training: accuracy=25.116772 loss=3.463074 [Epoch 012] speed: 162 samples/sec time cost: 1594.499189 [Epoch 012] validation: acc-top1=27.320545 acc-top5=54.202764 loss=3.341051 Epoch[013] Batch [0049]/[3760] Speed: 113.595082 samples/sec accuracy=27.281250 loss=3.339509 lr=0.038898 Epoch[013] Batch [0099]/[3760] Speed: 165.512474 samples/sec accuracy=27.000000 loss=3.353922 lr=0.038937 Epoch[013] Batch [0149]/[3760] Speed: 164.097779 samples/sec accuracy=26.281250 loss=3.396870 lr=0.038976 Epoch[013] Batch [0199]/[3760] Speed: 161.970670 samples/sec accuracy=26.585938 loss=3.386846 lr=0.039014 Epoch[013] Batch [0249]/[3760] Speed: 164.857956 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lr=0.039402 Epoch[013] Batch [0749]/[3760] Speed: 163.913671 samples/sec accuracy=26.172917 loss=3.408127 lr=0.039440 Epoch[013] Batch [0799]/[3760] Speed: 163.128880 samples/sec accuracy=26.167969 loss=3.407160 lr=0.039479 Epoch[013] Batch [0849]/[3760] Speed: 164.527095 samples/sec accuracy=26.159926 loss=3.407660 lr=0.039518 Epoch[013] Batch [0899]/[3760] Speed: 163.026836 samples/sec accuracy=26.156250 loss=3.408262 lr=0.039557 Epoch[013] Batch [0949]/[3760] Speed: 163.219406 samples/sec accuracy=26.156250 loss=3.411353 lr=0.039595 Epoch[013] Batch [0999]/[3760] Speed: 162.036312 samples/sec accuracy=26.151562 loss=3.410405 lr=0.039634 Epoch[013] Batch [1049]/[3760] Speed: 164.266644 samples/sec accuracy=26.162202 loss=3.410807 lr=0.039673 Epoch[013] Batch [1099]/[3760] Speed: 162.862728 samples/sec accuracy=26.146307 loss=3.412605 lr=0.039712 Epoch[013] Batch [1149]/[3760] Speed: 164.181816 samples/sec accuracy=26.081522 loss=3.415448 lr=0.039750 Epoch[013] Batch [1199]/[3760] Speed: 164.595042 samples/sec accuracy=26.127604 loss=3.414384 lr=0.039789 Epoch[013] Batch [1249]/[3760] Speed: 165.082122 samples/sec accuracy=26.103750 loss=3.416004 lr=0.039828 Epoch[013] Batch [1299]/[3760] Speed: 163.903693 samples/sec accuracy=26.152644 loss=3.413305 lr=0.039866 Epoch[013] Batch [1349]/[3760] Speed: 164.625397 samples/sec accuracy=26.150463 loss=3.412218 lr=0.039905 Epoch[013] Batch [1399]/[3760] Speed: 162.500966 samples/sec accuracy=26.109375 loss=3.414244 lr=0.039944 Epoch[013] Batch [1449]/[3760] Speed: 163.402444 samples/sec accuracy=26.067888 loss=3.414292 lr=0.039983 Epoch[013] Batch [1499]/[3760] Speed: 163.173542 samples/sec accuracy=26.084375 loss=3.413006 lr=0.040021 Epoch[013] Batch [1549]/[3760] Speed: 164.342259 samples/sec accuracy=26.095766 loss=3.413161 lr=0.040060 Epoch[013] Batch [1599]/[3760] Speed: 161.535007 samples/sec accuracy=26.053711 loss=3.415284 lr=0.040099 Epoch[013] Batch [1649]/[3760] Speed: 165.020444 samples/sec accuracy=26.026515 loss=3.415793 lr=0.040138 Epoch[013] Batch [1699]/[3760] Speed: 165.692988 samples/sec accuracy=26.040441 loss=3.414193 lr=0.040176 Epoch[013] Batch [1749]/[3760] Speed: 165.040726 samples/sec accuracy=26.039286 loss=3.413850 lr=0.040215 Epoch[013] Batch [1799]/[3760] Speed: 163.339555 samples/sec accuracy=26.055556 loss=3.413373 lr=0.040254 Epoch[013] Batch [1849]/[3760] Speed: 162.976946 samples/sec accuracy=26.077703 loss=3.414100 lr=0.040292 Epoch[013] Batch [1899]/[3760] Speed: 163.661379 samples/sec accuracy=26.070724 loss=3.415838 lr=0.040331 Epoch[013] Batch [1949]/[3760] Speed: 163.704179 samples/sec accuracy=26.055288 loss=3.416598 lr=0.040370 Epoch[013] Batch [1999]/[3760] Speed: 164.587061 samples/sec accuracy=26.034375 loss=3.416952 lr=0.040409 Epoch[013] Batch [2049]/[3760] Speed: 163.864102 samples/sec accuracy=26.028201 loss=3.416771 lr=0.040447 Epoch[013] Batch [2099]/[3760] Speed: 163.645266 samples/sec accuracy=26.034970 loss=3.417903 lr=0.040486 Epoch[013] Batch [2149]/[3760] Speed: 165.882969 samples/sec accuracy=26.000000 loss=3.418786 lr=0.040525 Epoch[013] Batch [2199]/[3760] Speed: 161.594028 samples/sec accuracy=25.950284 loss=3.420070 lr=0.040564 Epoch[013] Batch [2249]/[3760] Speed: 162.301914 samples/sec accuracy=25.959028 loss=3.418980 lr=0.040602 Epoch[013] Batch [2299]/[3760] Speed: 164.624723 samples/sec accuracy=25.983016 loss=3.419160 lr=0.040641 Epoch[013] Batch [2349]/[3760] Speed: 161.115668 samples/sec accuracy=25.970080 loss=3.419597 lr=0.040680 Epoch[013] Batch [2399]/[3760] Speed: 161.866575 samples/sec accuracy=25.968750 loss=3.419449 lr=0.040719 Epoch[013] Batch [2449]/[3760] Speed: 163.107829 samples/sec accuracy=25.972577 loss=3.419483 lr=0.040757 Epoch[013] Batch [2499]/[3760] Speed: 161.581560 samples/sec accuracy=26.010000 loss=3.418951 lr=0.040796 Epoch[013] Batch [2549]/[3760] Speed: 164.395123 samples/sec accuracy=25.995098 loss=3.420141 lr=0.040835 Epoch[013] Batch [2599]/[3760] Speed: 164.260135 samples/sec accuracy=26.006611 loss=3.419307 lr=0.040873 Epoch[013] Batch [2649]/[3760] Speed: 162.266891 samples/sec accuracy=25.987618 loss=3.420849 lr=0.040912 Epoch[013] Batch [2699]/[3760] Speed: 162.885027 samples/sec accuracy=26.000579 loss=3.420487 lr=0.040951 Epoch[013] Batch [2749]/[3760] Speed: 163.561831 samples/sec accuracy=26.006818 loss=3.420826 lr=0.040990 Epoch[013] Batch [2799]/[3760] Speed: 163.063939 samples/sec accuracy=26.003906 loss=3.421342 lr=0.041028 Epoch[013] Batch [2849]/[3760] Speed: 163.394268 samples/sec accuracy=26.031798 loss=3.420430 lr=0.041067 Epoch[013] Batch [2899]/[3760] Speed: 163.045373 samples/sec accuracy=26.022629 loss=3.420855 lr=0.041106 Epoch[013] Batch [2949]/[3760] Speed: 162.885112 samples/sec accuracy=26.030720 loss=3.421258 lr=0.041145 Epoch[013] Batch [2999]/[3760] Speed: 163.589135 samples/sec accuracy=26.054167 loss=3.420701 lr=0.041183 Epoch[013] Batch [3049]/[3760] Speed: 163.171650 samples/sec accuracy=26.042008 loss=3.421418 lr=0.041222 Epoch[013] Batch [3099]/[3760] Speed: 161.159436 samples/sec accuracy=26.060484 loss=3.421213 lr=0.041261 Epoch[013] Batch [3149]/[3760] Speed: 164.273092 samples/sec accuracy=26.076389 loss=3.421099 lr=0.041299 Epoch[013] Batch [3199]/[3760] Speed: 164.309787 samples/sec accuracy=26.064453 loss=3.421831 lr=0.041338 Epoch[013] Batch [3249]/[3760] Speed: 160.994866 samples/sec accuracy=26.053846 loss=3.421823 lr=0.041377 Epoch[013] Batch [3299]/[3760] Speed: 164.751537 samples/sec accuracy=26.048769 loss=3.421755 lr=0.041416 Epoch[013] Batch [3349]/[3760] Speed: 163.429543 samples/sec accuracy=26.063899 loss=3.421541 lr=0.041454 Epoch[013] Batch [3399]/[3760] Speed: 163.432444 samples/sec accuracy=26.064798 loss=3.421540 lr=0.041493 Epoch[013] Batch [3449]/[3760] Speed: 163.436584 samples/sec accuracy=26.064764 loss=3.421975 lr=0.041532 Epoch[013] Batch [3499]/[3760] Speed: 163.476787 samples/sec accuracy=26.053125 loss=3.422842 lr=0.041571 Epoch[013] Batch [3549]/[3760] Speed: 163.260592 samples/sec accuracy=26.040053 loss=3.422916 lr=0.041609 Epoch[013] Batch [3599]/[3760] Speed: 163.132613 samples/sec accuracy=26.051649 loss=3.422193 lr=0.041648 Epoch[013] Batch [3649]/[3760] Speed: 162.009449 samples/sec accuracy=26.053938 loss=3.422008 lr=0.041687 Epoch[013] Batch [3699]/[3760] Speed: 164.009874 samples/sec accuracy=26.057010 loss=3.421462 lr=0.041726 Epoch[013] Batch [3749]/[3760] Speed: 175.149146 samples/sec accuracy=26.062917 loss=3.421936 lr=0.041764 Batch [0049]/[0303]: acc-top1=27.093750 acc-top5=53.343750 Batch [0099]/[0303]: acc-top1=25.375000 acc-top5=51.843750 Batch [0149]/[0303]: acc-top1=26.447917 acc-top5=52.822917 Batch [0199]/[0303]: acc-top1=28.718750 acc-top5=54.796875 Batch [0249]/[0303]: acc-top1=28.100000 acc-top5=54.525000 Batch [0299]/[0303]: acc-top1=27.869792 acc-top5=54.802083 [Epoch 013] training: accuracy=26.065908 loss=3.421860 [Epoch 013] speed: 162 samples/sec time cost: 1594.891683 [Epoch 013] validation: acc-top1=27.841378 acc-top5=54.806106 loss=3.317015 Epoch[014] Batch [0049]/[3759] Speed: 114.143003 samples/sec accuracy=27.062500 loss=3.373172 lr=0.041811 Epoch[014] Batch [0099]/[3759] Speed: 162.384349 samples/sec accuracy=26.484375 loss=3.397822 lr=0.041849 Epoch[014] Batch [0149]/[3759] Speed: 164.807694 samples/sec accuracy=26.291667 loss=3.415222 lr=0.041888 Epoch[014] Batch [0199]/[3759] Speed: 164.260468 samples/sec accuracy=26.171875 loss=3.414761 lr=0.041927 Epoch[014] Batch [0249]/[3759] Speed: 162.226431 samples/sec accuracy=26.087500 loss=3.419911 lr=0.041966 Epoch[014] Batch [0299]/[3759] Speed: 164.920732 samples/sec accuracy=26.135417 loss=3.421785 lr=0.042004 Epoch[014] Batch [0349]/[3759] Speed: 162.772264 samples/sec accuracy=26.174107 loss=3.418934 lr=0.042043 Epoch[014] Batch [0399]/[3759] Speed: 163.277460 samples/sec accuracy=26.332031 loss=3.419852 lr=0.042082 Epoch[014] Batch [0449]/[3759] Speed: 164.275688 samples/sec accuracy=26.486111 loss=3.410581 lr=0.042121 Epoch[014] Batch [0499]/[3759] Speed: 163.801283 samples/sec accuracy=26.493750 loss=3.409299 lr=0.042159 Epoch[014] Batch [0549]/[3759] Speed: 163.040209 samples/sec accuracy=26.497159 loss=3.411302 lr=0.042198 Epoch[014] Batch [0599]/[3759] Speed: 163.435031 samples/sec accuracy=26.515625 loss=3.411444 lr=0.042237 Epoch[014] Batch [0649]/[3759] Speed: 162.982080 samples/sec accuracy=26.600962 loss=3.410159 lr=0.042275 Epoch[014] Batch [0699]/[3759] Speed: 163.704456 samples/sec accuracy=26.607143 loss=3.407361 lr=0.042314 Epoch[014] Batch [0749]/[3759] Speed: 164.081726 samples/sec accuracy=26.545833 loss=3.407621 lr=0.042353 Epoch[014] Batch [0799]/[3759] Speed: 162.916151 samples/sec accuracy=26.439453 loss=3.411631 lr=0.042392 Epoch[014] Batch [0849]/[3759] Speed: 164.742134 samples/sec accuracy=26.393382 loss=3.411999 lr=0.042430 Epoch[014] Batch [0899]/[3759] Speed: 164.254309 samples/sec accuracy=26.493056 loss=3.406887 lr=0.042469 Epoch[014] Batch 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accuracy=26.524554 loss=3.398253 lr=0.042856 Epoch[014] Batch [1449]/[3759] Speed: 162.730875 samples/sec accuracy=26.550647 loss=3.396525 lr=0.042895 Epoch[014] Batch [1499]/[3759] Speed: 161.817778 samples/sec accuracy=26.553125 loss=3.395654 lr=0.042934 Epoch[014] Batch [1549]/[3759] Speed: 166.023938 samples/sec accuracy=26.547379 loss=3.396430 lr=0.042973 Epoch[014] Batch [1599]/[3759] Speed: 163.038871 samples/sec accuracy=26.505859 loss=3.398684 lr=0.043011 Epoch[014] Batch [1649]/[3759] Speed: 162.541188 samples/sec accuracy=26.507576 loss=3.399499 lr=0.043050 Epoch[014] Batch [1699]/[3759] Speed: 163.126941 samples/sec accuracy=26.524816 loss=3.399549 lr=0.043089 Epoch[014] Batch [1749]/[3759] Speed: 163.279830 samples/sec accuracy=26.526786 loss=3.398333 lr=0.043128 Epoch[014] Batch [1799]/[3759] Speed: 163.115353 samples/sec accuracy=26.526042 loss=3.397967 lr=0.043166 Epoch[014] Batch [1849]/[3759] Speed: 164.597686 samples/sec accuracy=26.520270 loss=3.396789 lr=0.043205 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loss=3.392654 lr=0.043941 Epoch[014] Batch [2849]/[3759] Speed: 161.535569 samples/sec accuracy=26.580592 loss=3.392670 lr=0.043980 Epoch[014] Batch [2899]/[3759] Speed: 163.396977 samples/sec accuracy=26.580280 loss=3.392896 lr=0.044018 Epoch[014] Batch [2949]/[3759] Speed: 161.955154 samples/sec accuracy=26.597458 loss=3.392530 lr=0.044057 Epoch[014] Batch [2999]/[3759] Speed: 164.175955 samples/sec accuracy=26.589583 loss=3.392371 lr=0.044096 Epoch[014] Batch [3049]/[3759] Speed: 162.108400 samples/sec accuracy=26.599898 loss=3.392493 lr=0.044135 Epoch[014] Batch [3099]/[3759] Speed: 163.482958 samples/sec accuracy=26.604839 loss=3.392428 lr=0.044173 Epoch[014] Batch [3149]/[3759] Speed: 163.745157 samples/sec accuracy=26.612103 loss=3.391654 lr=0.044212 Epoch[014] Batch [3199]/[3759] Speed: 162.628580 samples/sec accuracy=26.609863 loss=3.391955 lr=0.044251 Epoch[014] Batch [3249]/[3759] Speed: 164.619010 samples/sec accuracy=26.611058 loss=3.391625 lr=0.044290 Epoch[014] Batch 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accuracy=26.634583 loss=3.389599 lr=0.044677 Batch [0049]/[0303]: acc-top1=26.468750 acc-top5=52.093750 Batch [0099]/[0303]: acc-top1=25.218750 acc-top5=50.437500 Batch [0149]/[0303]: acc-top1=25.895833 acc-top5=52.000000 Batch [0199]/[0303]: acc-top1=28.617188 acc-top5=54.492188 Batch [0249]/[0303]: acc-top1=28.050000 acc-top5=54.450000 Batch [0299]/[0303]: acc-top1=27.406250 acc-top5=54.604167 [Epoch 014] training: accuracy=26.626097 loss=3.390099 [Epoch 014] speed: 162 samples/sec time cost: 1595.752129 [Epoch 014] validation: acc-top1=27.418523 acc-top5=54.641089 loss=3.399067 Epoch[015] Batch [0049]/[3760] Speed: 114.198617 samples/sec accuracy=26.968750 loss=3.407428 lr=0.044723 Epoch[015] Batch [0099]/[3760] Speed: 163.668945 samples/sec accuracy=27.406250 loss=3.370114 lr=0.044761 Epoch[015] Batch [0149]/[3760] Speed: 164.561102 samples/sec accuracy=27.302083 loss=3.370822 lr=0.044800 Epoch[015] Batch [0199]/[3760] Speed: 164.735999 samples/sec accuracy=27.554688 loss=3.354183 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accuracy=27.050272 loss=3.371989 lr=0.045575 Epoch[015] Batch [1199]/[3760] Speed: 161.328159 samples/sec accuracy=27.063802 loss=3.370377 lr=0.045613 Epoch[015] Batch [1249]/[3760] Speed: 164.455095 samples/sec accuracy=27.027500 loss=3.370893 lr=0.045652 Epoch[015] Batch [1299]/[3760] Speed: 164.530950 samples/sec accuracy=27.036058 loss=3.371803 lr=0.045691 Epoch[015] Batch [1349]/[3760] Speed: 162.585935 samples/sec accuracy=27.019676 loss=3.371444 lr=0.045730 Epoch[015] Batch [1399]/[3760] Speed: 165.685281 samples/sec accuracy=27.025670 loss=3.369574 lr=0.045768 Epoch[015] Batch [1449]/[3760] Speed: 164.058078 samples/sec accuracy=27.018319 loss=3.370512 lr=0.045807 Epoch[015] Batch [1499]/[3760] Speed: 162.331905 samples/sec accuracy=27.005208 loss=3.369192 lr=0.045846 Epoch[015] Batch [1549]/[3760] Speed: 162.979996 samples/sec accuracy=26.990927 loss=3.369217 lr=0.045884 Epoch[015] Batch [1599]/[3760] Speed: 162.083395 samples/sec accuracy=27.017578 loss=3.368239 lr=0.045923 Epoch[015] Batch [1649]/[3760] Speed: 163.616928 samples/sec accuracy=27.001894 loss=3.368712 lr=0.045962 Epoch[015] Batch [1699]/[3760] Speed: 162.731160 samples/sec accuracy=27.052390 loss=3.367677 lr=0.046001 Epoch[015] Batch [1749]/[3760] Speed: 162.665709 samples/sec accuracy=27.000000 loss=3.370134 lr=0.046039 Epoch[015] Batch [1799]/[3760] Speed: 163.976900 samples/sec accuracy=27.016493 loss=3.369319 lr=0.046078 Epoch[015] Batch [1849]/[3760] Speed: 163.980090 samples/sec accuracy=27.011824 loss=3.370471 lr=0.046117 Epoch[015] Batch [1899]/[3760] Speed: 163.878761 samples/sec accuracy=27.008224 loss=3.372320 lr=0.046156 Epoch[015] Batch [1949]/[3760] Speed: 160.916085 samples/sec accuracy=26.998397 loss=3.372715 lr=0.046194 Epoch[015] Batch [1999]/[3760] Speed: 162.582742 samples/sec accuracy=27.021094 loss=3.373271 lr=0.046233 Epoch[015] Batch [2049]/[3760] Speed: 162.302644 samples/sec accuracy=27.044207 loss=3.372397 lr=0.046272 Epoch[015] Batch [2099]/[3760] Speed: 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loss=3.371393 lr=0.046659 Epoch[015] Batch [2599]/[3760] Speed: 161.015157 samples/sec accuracy=26.992788 loss=3.372100 lr=0.046698 Epoch[015] Batch [2649]/[3760] Speed: 163.756772 samples/sec accuracy=26.988208 loss=3.372753 lr=0.046737 Epoch[015] Batch [2699]/[3760] Speed: 161.830501 samples/sec accuracy=27.005787 loss=3.372707 lr=0.046775 Epoch[015] Batch [2749]/[3760] Speed: 164.426639 samples/sec accuracy=27.021023 loss=3.371989 lr=0.046814 Epoch[015] Batch [2799]/[3760] Speed: 161.477565 samples/sec accuracy=27.032924 loss=3.371359 lr=0.046853 Epoch[015] Batch [2849]/[3760] Speed: 165.597560 samples/sec accuracy=27.031250 loss=3.371054 lr=0.046891 Epoch[015] Batch [2899]/[3760] Speed: 162.077440 samples/sec accuracy=27.024246 loss=3.371819 lr=0.046930 Epoch[015] Batch [2949]/[3760] Speed: 162.421984 samples/sec accuracy=27.050318 loss=3.370807 lr=0.046969 Epoch[015] Batch [2999]/[3760] Speed: 163.224189 samples/sec accuracy=27.074479 loss=3.369775 lr=0.047008 Epoch[015] Batch [3049]/[3760] Speed: 163.215539 samples/sec accuracy=27.085553 loss=3.369690 lr=0.047046 Epoch[015] Batch [3099]/[3760] Speed: 164.134567 samples/sec accuracy=27.110887 loss=3.368702 lr=0.047085 Epoch[015] Batch [3149]/[3760] Speed: 162.646283 samples/sec accuracy=27.102679 loss=3.368580 lr=0.047124 Epoch[015] Batch [3199]/[3760] Speed: 163.618470 samples/sec accuracy=27.105469 loss=3.368290 lr=0.047163 Epoch[015] Batch [3249]/[3760] Speed: 164.575800 samples/sec accuracy=27.096635 loss=3.369324 lr=0.047201 Epoch[015] Batch [3299]/[3760] Speed: 163.660555 samples/sec accuracy=27.078125 loss=3.370305 lr=0.047240 Epoch[015] Batch [3349]/[3760] Speed: 163.711002 samples/sec accuracy=27.095149 loss=3.369775 lr=0.047279 Epoch[015] Batch [3399]/[3760] Speed: 165.240600 samples/sec accuracy=27.107996 loss=3.369026 lr=0.047317 Epoch[015] Batch [3449]/[3760] Speed: 164.025402 samples/sec accuracy=27.108696 loss=3.368898 lr=0.047356 Epoch[015] Batch [3499]/[3760] Speed: 163.915481 samples/sec accuracy=27.110268 loss=3.368492 lr=0.047395 Epoch[015] Batch [3549]/[3760] Speed: 162.191203 samples/sec accuracy=27.101232 loss=3.368693 lr=0.047434 Epoch[015] Batch [3599]/[3760] Speed: 163.250447 samples/sec accuracy=27.089844 loss=3.368637 lr=0.047472 Epoch[015] Batch [3649]/[3760] Speed: 162.796222 samples/sec accuracy=27.101027 loss=3.368487 lr=0.047511 Epoch[015] Batch [3699]/[3760] Speed: 164.208859 samples/sec accuracy=27.101774 loss=3.368841 lr=0.047550 Epoch[015] Batch [3749]/[3760] Speed: 176.282905 samples/sec accuracy=27.117917 loss=3.368261 lr=0.047589 Batch [0049]/[0303]: acc-top1=28.375000 acc-top5=54.531250 Batch [0099]/[0303]: acc-top1=26.656250 acc-top5=52.531250 Batch [0149]/[0303]: acc-top1=28.312500 acc-top5=54.375000 Batch [0199]/[0303]: acc-top1=30.656250 acc-top5=56.906250 Batch [0249]/[0303]: acc-top1=30.018750 acc-top5=56.887500 Batch [0299]/[0303]: acc-top1=29.265625 acc-top5=57.010417 [Epoch 015] training: accuracy=27.118517 loss=3.367891 [Epoch 015] speed: 162 samples/sec time cost: 1597.974084 [Epoch 015] validation: acc-top1=29.280116 acc-top5=57.059612 loss=3.270291 Epoch[016] Batch [0049]/[3760] Speed: 114.785017 samples/sec accuracy=27.656250 loss=3.337722 lr=0.047635 Epoch[016] Batch [0099]/[3760] Speed: 165.167538 samples/sec accuracy=26.921875 loss=3.325513 lr=0.047674 Epoch[016] Batch [0149]/[3760] Speed: 161.215840 samples/sec accuracy=26.958333 loss=3.319147 lr=0.047713 Epoch[016] Batch [0199]/[3760] Speed: 163.383889 samples/sec accuracy=26.953125 loss=3.310139 lr=0.047751 Epoch[016] Batch [0249]/[3760] Speed: 164.268747 samples/sec accuracy=27.218750 loss=3.312943 lr=0.047790 Epoch[016] Batch [0299]/[3760] Speed: 160.557401 samples/sec accuracy=27.276042 loss=3.314949 lr=0.047829 Epoch[016] Batch [0349]/[3760] Speed: 163.286556 samples/sec accuracy=27.383929 loss=3.320752 lr=0.047867 Epoch[016] Batch [0399]/[3760] Speed: 162.286658 samples/sec accuracy=27.406250 loss=3.322636 lr=0.047906 Epoch[016] Batch [0449]/[3760] 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accuracy=27.296875 loss=3.336502 lr=0.048294 Epoch[016] Batch [0949]/[3760] Speed: 163.640391 samples/sec accuracy=27.250000 loss=3.339548 lr=0.048332 Epoch[016] Batch [0999]/[3760] Speed: 162.083311 samples/sec accuracy=27.228125 loss=3.341007 lr=0.048371 Epoch[016] Batch [1049]/[3760] Speed: 161.955021 samples/sec accuracy=27.244048 loss=3.342043 lr=0.048410 Epoch[016] Batch [1099]/[3760] Speed: 163.362874 samples/sec accuracy=27.218750 loss=3.341404 lr=0.048448 Epoch[016] Batch [1149]/[3760] Speed: 163.124288 samples/sec accuracy=27.197011 loss=3.341637 lr=0.048487 Epoch[016] Batch [1199]/[3760] Speed: 162.820292 samples/sec accuracy=27.255208 loss=3.341554 lr=0.048526 Epoch[016] Batch [1249]/[3760] Speed: 163.759450 samples/sec accuracy=27.275000 loss=3.342966 lr=0.048565 Epoch[016] Batch [1299]/[3760] Speed: 161.302601 samples/sec accuracy=27.299279 loss=3.340099 lr=0.048603 Epoch[016] Batch [1349]/[3760] Speed: 164.014838 samples/sec accuracy=27.325231 loss=3.339194 lr=0.048642 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accuracy=27.390865 loss=3.344657 lr=0.050114 Epoch[016] Batch [3299]/[3760] Speed: 163.713953 samples/sec accuracy=27.385417 loss=3.344508 lr=0.050153 Epoch[016] Batch [3349]/[3760] Speed: 163.330134 samples/sec accuracy=27.368470 loss=3.345453 lr=0.050191 Epoch[016] Batch [3399]/[3760] Speed: 162.944082 samples/sec accuracy=27.378676 loss=3.345594 lr=0.050230 Epoch[016] Batch [3449]/[3760] Speed: 163.104330 samples/sec accuracy=27.393116 loss=3.345173 lr=0.050269 Epoch[016] Batch [3499]/[3760] Speed: 163.562154 samples/sec accuracy=27.388393 loss=3.345240 lr=0.050308 Epoch[016] Batch [3549]/[3760] Speed: 163.693423 samples/sec accuracy=27.378961 loss=3.346029 lr=0.050346 Epoch[016] Batch [3599]/[3760] Speed: 162.654544 samples/sec accuracy=27.388889 loss=3.346212 lr=0.050385 Epoch[016] Batch [3649]/[3760] Speed: 163.432904 samples/sec accuracy=27.389555 loss=3.346153 lr=0.050424 Epoch[016] Batch [3699]/[3760] Speed: 161.750758 samples/sec accuracy=27.395693 loss=3.346413 lr=0.050462 Epoch[016] Batch [3749]/[3760] Speed: 175.915631 samples/sec accuracy=27.400000 loss=3.346066 lr=0.050501 Batch [0049]/[0303]: acc-top1=30.437500 acc-top5=56.656250 Batch [0099]/[0303]: acc-top1=27.484375 acc-top5=53.296875 Batch [0149]/[0303]: acc-top1=28.406250 acc-top5=54.552083 Batch [0199]/[0303]: acc-top1=30.437500 acc-top5=56.703125 Batch [0249]/[0303]: acc-top1=29.787500 acc-top5=56.412500 Batch [0299]/[0303]: acc-top1=29.093750 acc-top5=56.302083 [Epoch 016] training: accuracy=27.402344 loss=3.346247 [Epoch 016] speed: 162 samples/sec time cost: 1597.658881 [Epoch 016] validation: acc-top1=29.176980 acc-top5=56.415017 loss=3.329429 Epoch[017] Batch [0049]/[3759] Speed: 112.987880 samples/sec accuracy=27.968750 loss=3.308096 lr=0.050548 Epoch[017] Batch [0099]/[3759] Speed: 163.715553 samples/sec accuracy=28.125000 loss=3.327671 lr=0.050586 Epoch[017] Batch [0149]/[3759] Speed: 163.309869 samples/sec accuracy=27.937500 loss=3.315976 lr=0.050625 Epoch[017] Batch [0199]/[3759] 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accuracy=27.887019 loss=3.324018 lr=0.051012 Epoch[017] Batch [0699]/[3759] Speed: 162.678268 samples/sec accuracy=27.859375 loss=3.324751 lr=0.051051 Epoch[017] Batch [0749]/[3759] Speed: 163.554921 samples/sec accuracy=27.908333 loss=3.323972 lr=0.051090 Epoch[017] Batch [0799]/[3759] Speed: 161.385504 samples/sec accuracy=27.818359 loss=3.327679 lr=0.051129 Epoch[017] Batch [0849]/[3759] Speed: 163.052228 samples/sec accuracy=27.797794 loss=3.330561 lr=0.051167 Epoch[017] Batch [0899]/[3759] Speed: 163.801119 samples/sec accuracy=27.739583 loss=3.332877 lr=0.051206 Epoch[017] Batch [0949]/[3759] Speed: 164.109057 samples/sec accuracy=27.764803 loss=3.332061 lr=0.051245 Epoch[017] Batch [0999]/[3759] Speed: 163.071254 samples/sec accuracy=27.732812 loss=3.335674 lr=0.051284 Epoch[017] Batch [1049]/[3759] Speed: 163.651543 samples/sec accuracy=27.791667 loss=3.335171 lr=0.051322 Epoch[017] Batch [1099]/[3759] Speed: 163.607147 samples/sec accuracy=27.789773 loss=3.334680 lr=0.051361 Epoch[017] Batch [1149]/[3759] Speed: 165.210332 samples/sec accuracy=27.745924 loss=3.335729 lr=0.051400 Epoch[017] Batch [1199]/[3759] Speed: 163.430046 samples/sec accuracy=27.677083 loss=3.338887 lr=0.051438 Epoch[017] Batch [1249]/[3759] Speed: 164.417909 samples/sec accuracy=27.667500 loss=3.338210 lr=0.051477 Epoch[017] Batch [1299]/[3759] Speed: 163.147999 samples/sec accuracy=27.643029 loss=3.338739 lr=0.051516 Epoch[017] Batch [1349]/[3759] Speed: 161.884779 samples/sec accuracy=27.599537 loss=3.338338 lr=0.051555 Epoch[017] Batch [1399]/[3759] Speed: 162.180426 samples/sec accuracy=27.570312 loss=3.339093 lr=0.051593 Epoch[017] Batch [1449]/[3759] Speed: 164.008842 samples/sec accuracy=27.564655 loss=3.339497 lr=0.051632 Epoch[017] Batch [1499]/[3759] Speed: 162.364377 samples/sec accuracy=27.577083 loss=3.338657 lr=0.051671 Epoch[017] Batch [1549]/[3759] Speed: 163.792610 samples/sec accuracy=27.605847 loss=3.337494 lr=0.051710 Epoch[017] Batch [1599]/[3759] Speed: 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loss=3.336644 lr=0.052097 Epoch[017] Batch [2099]/[3759] Speed: 165.103184 samples/sec accuracy=27.728423 loss=3.335360 lr=0.052136 Epoch[017] Batch [2149]/[3759] Speed: 163.204955 samples/sec accuracy=27.727471 loss=3.335852 lr=0.052174 Epoch[017] Batch [2199]/[3759] Speed: 164.150150 samples/sec accuracy=27.737216 loss=3.336069 lr=0.052213 Epoch[017] Batch [2249]/[3759] Speed: 162.673298 samples/sec accuracy=27.736806 loss=3.336394 lr=0.052252 Epoch[017] Batch [2299]/[3759] Speed: 162.137844 samples/sec accuracy=27.726223 loss=3.337157 lr=0.052291 Epoch[017] Batch [2349]/[3759] Speed: 164.103306 samples/sec accuracy=27.732713 loss=3.335565 lr=0.052329 Epoch[017] Batch [2399]/[3759] Speed: 165.684230 samples/sec accuracy=27.715495 loss=3.337117 lr=0.052368 Epoch[017] Batch [2449]/[3759] Speed: 165.398817 samples/sec accuracy=27.690051 loss=3.338173 lr=0.052407 Epoch[017] Batch [2499]/[3759] Speed: 163.157989 samples/sec accuracy=27.675000 loss=3.338114 lr=0.052445 Epoch[017] Batch 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accuracy=27.724479 loss=3.336492 lr=0.052833 Epoch[017] Batch [3049]/[3759] Speed: 164.533420 samples/sec accuracy=27.745389 loss=3.335009 lr=0.052871 Epoch[017] Batch [3099]/[3759] Speed: 162.010427 samples/sec accuracy=27.763105 loss=3.334036 lr=0.052910 Epoch[017] Batch [3149]/[3759] Speed: 163.967451 samples/sec accuracy=27.767361 loss=3.333049 lr=0.052949 Epoch[017] Batch [3199]/[3759] Speed: 162.788881 samples/sec accuracy=27.776367 loss=3.332578 lr=0.052988 Epoch[017] Batch [3249]/[3759] Speed: 163.856976 samples/sec accuracy=27.790865 loss=3.332487 lr=0.053026 Epoch[017] Batch [3299]/[3759] Speed: 162.343177 samples/sec accuracy=27.781723 loss=3.332959 lr=0.053065 Epoch[017] Batch [3349]/[3759] Speed: 162.276349 samples/sec accuracy=27.790112 loss=3.332741 lr=0.053104 Epoch[017] Batch [3399]/[3759] Speed: 161.697868 samples/sec accuracy=27.781250 loss=3.332961 lr=0.053143 Epoch[017] Batch [3449]/[3759] Speed: 164.856115 samples/sec accuracy=27.778080 loss=3.333162 lr=0.053181 Epoch[017] Batch [3499]/[3759] Speed: 162.866461 samples/sec accuracy=27.802679 loss=3.332600 lr=0.053220 Epoch[017] Batch [3549]/[3759] Speed: 162.822295 samples/sec accuracy=27.804577 loss=3.332406 lr=0.053259 Epoch[017] Batch [3599]/[3759] Speed: 163.823794 samples/sec accuracy=27.803819 loss=3.331779 lr=0.053298 Epoch[017] Batch [3649]/[3759] Speed: 163.905504 samples/sec accuracy=27.801798 loss=3.332306 lr=0.053336 Epoch[017] Batch [3699]/[3759] Speed: 163.396760 samples/sec accuracy=27.796875 loss=3.332559 lr=0.053375 Epoch[017] Batch [3749]/[3759] Speed: 175.833958 samples/sec accuracy=27.808750 loss=3.332328 lr=0.053414 Batch [0049]/[0303]: acc-top1=28.312500 acc-top5=53.343750 Batch [0099]/[0303]: acc-top1=26.187500 acc-top5=52.250000 Batch [0149]/[0303]: acc-top1=26.989583 acc-top5=54.031250 Batch [0199]/[0303]: acc-top1=29.687500 acc-top5=56.750000 Batch [0249]/[0303]: acc-top1=29.056250 acc-top5=56.181250 Batch [0299]/[0303]: acc-top1=28.432292 acc-top5=55.916667 [Epoch 017] training: accuracy=27.798284 loss=3.332430 [Epoch 017] speed: 162 samples/sec time cost: 1595.656772 [Epoch 017] validation: acc-top1=28.506601 acc-top5=55.883870 loss=3.331021 Epoch[018] Batch [0049]/[3760] Speed: 115.569684 samples/sec accuracy=28.468750 loss=3.274018 lr=0.053459 Epoch[018] Batch [0099]/[3760] Speed: 163.109626 samples/sec accuracy=28.796875 loss=3.260371 lr=0.053498 Epoch[018] Batch [0149]/[3760] Speed: 163.532102 samples/sec accuracy=28.864583 loss=3.263433 lr=0.053537 Epoch[018] Batch [0199]/[3760] Speed: 165.458922 samples/sec accuracy=28.562500 loss=3.273088 lr=0.053576 Epoch[018] Batch [0249]/[3760] Speed: 164.429143 samples/sec accuracy=28.412500 loss=3.283979 lr=0.053614 Epoch[018] Batch [0299]/[3760] Speed: 161.262553 samples/sec accuracy=28.291667 loss=3.288265 lr=0.053653 Epoch[018] Batch [0349]/[3760] Speed: 162.810215 samples/sec accuracy=28.138393 loss=3.293198 lr=0.053692 Epoch[018] Batch [0399]/[3760] Speed: 163.454949 samples/sec accuracy=28.167969 loss=3.294495 lr=0.053731 Epoch[018] Batch [0449]/[3760] Speed: 164.604908 samples/sec accuracy=28.229167 loss=3.290773 lr=0.053769 Epoch[018] Batch [0499]/[3760] Speed: 164.563743 samples/sec accuracy=28.178125 loss=3.292432 lr=0.053808 Epoch[018] Batch [0549]/[3760] Speed: 163.937716 samples/sec accuracy=28.090909 loss=3.299242 lr=0.053847 Epoch[018] Batch [0599]/[3760] Speed: 164.507297 samples/sec accuracy=28.070312 loss=3.299733 lr=0.053885 Epoch[018] Batch [0649]/[3760] Speed: 161.980376 samples/sec accuracy=28.038462 loss=3.302594 lr=0.053924 Epoch[018] Batch [0699]/[3760] Speed: 161.722373 samples/sec accuracy=27.995536 loss=3.306285 lr=0.053963 Epoch[018] Batch [0749]/[3760] Speed: 163.538233 samples/sec accuracy=28.020833 loss=3.303632 lr=0.054002 Epoch[018] Batch [0799]/[3760] Speed: 163.903713 samples/sec accuracy=27.976562 loss=3.304379 lr=0.054040 Epoch[018] Batch [0849]/[3760] Speed: 164.057691 samples/sec accuracy=27.965074 loss=3.306698 lr=0.054079 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accuracy=28.125568 loss=3.310640 lr=0.055551 Epoch[018] Batch [2799]/[3760] Speed: 163.800769 samples/sec accuracy=28.135045 loss=3.309833 lr=0.055590 Epoch[018] Batch [2849]/[3760] Speed: 164.642388 samples/sec accuracy=28.140351 loss=3.308682 lr=0.055628 Epoch[018] Batch [2899]/[3760] Speed: 161.331835 samples/sec accuracy=28.117996 loss=3.309129 lr=0.055667 Epoch[018] Batch [2949]/[3760] Speed: 164.543363 samples/sec accuracy=28.126589 loss=3.308674 lr=0.055706 Epoch[018] Batch [2999]/[3760] Speed: 165.437088 samples/sec accuracy=28.134896 loss=3.308687 lr=0.055745 Epoch[018] Batch [3049]/[3760] Speed: 163.499609 samples/sec accuracy=28.133709 loss=3.308984 lr=0.055783 Epoch[018] Batch [3099]/[3760] Speed: 163.294701 samples/sec accuracy=28.142137 loss=3.308607 lr=0.055822 Epoch[018] Batch [3149]/[3760] Speed: 162.702069 samples/sec accuracy=28.132937 loss=3.308491 lr=0.055861 Epoch[018] Batch [3199]/[3760] Speed: 163.962375 samples/sec accuracy=28.122559 loss=3.309206 lr=0.055899 Epoch[018] Batch [3249]/[3760] Speed: 161.950378 samples/sec accuracy=28.120192 loss=3.309036 lr=0.055938 Epoch[018] Batch [3299]/[3760] Speed: 162.637414 samples/sec accuracy=28.125000 loss=3.309007 lr=0.055977 Epoch[018] Batch [3349]/[3760] Speed: 164.594618 samples/sec accuracy=28.109142 loss=3.308945 lr=0.056016 Epoch[018] Batch [3399]/[3760] Speed: 160.947594 samples/sec accuracy=28.118566 loss=3.308502 lr=0.056054 Epoch[018] Batch [3449]/[3760] Speed: 163.528045 samples/sec accuracy=28.104167 loss=3.309208 lr=0.056093 Epoch[018] Batch [3499]/[3760] Speed: 164.644366 samples/sec accuracy=28.099554 loss=3.309807 lr=0.056132 Epoch[018] Batch [3549]/[3760] Speed: 163.361259 samples/sec accuracy=28.092870 loss=3.309543 lr=0.056171 Epoch[018] Batch [3599]/[3760] Speed: 163.093955 samples/sec accuracy=28.082031 loss=3.310302 lr=0.056209 Epoch[018] Batch [3649]/[3760] Speed: 163.390556 samples/sec accuracy=28.084332 loss=3.309974 lr=0.056248 Epoch[018] Batch [3699]/[3760] Speed: 161.010388 samples/sec accuracy=28.087416 loss=3.310050 lr=0.056287 Epoch[018] Batch [3749]/[3760] Speed: 177.303240 samples/sec accuracy=28.090417 loss=3.310551 lr=0.056326 Batch [0049]/[0303]: acc-top1=30.687500 acc-top5=58.562500 Batch [0099]/[0303]: acc-top1=28.359375 acc-top5=54.484375 Batch [0149]/[0303]: acc-top1=29.562500 acc-top5=55.677083 Batch [0199]/[0303]: acc-top1=31.148437 acc-top5=57.585937 Batch [0249]/[0303]: acc-top1=30.400000 acc-top5=56.962500 Batch [0299]/[0303]: acc-top1=29.572917 acc-top5=56.848958 [Epoch 018] training: accuracy=28.097158 loss=3.310480 [Epoch 018] speed: 162 samples/sec time cost: 1595.473512 [Epoch 018] validation: acc-top1=29.465759 acc-top5=56.770833 loss=3.286782 Epoch[019] Batch [0049]/[3760] Speed: 114.719104 samples/sec accuracy=28.531250 loss=3.277111 lr=0.056372 Epoch[019] Batch [0099]/[3760] Speed: 164.201068 samples/sec accuracy=28.687500 loss=3.270730 lr=0.056411 Epoch[019] Batch [0149]/[3760] Speed: 163.422423 samples/sec accuracy=28.500000 loss=3.284677 lr=0.056449 Epoch[019] Batch [0199]/[3760] Speed: 163.261826 samples/sec accuracy=28.468750 loss=3.293705 lr=0.056488 Epoch[019] Batch [0249]/[3760] Speed: 164.357928 samples/sec accuracy=28.437500 loss=3.296886 lr=0.056527 Epoch[019] Batch [0299]/[3760] Speed: 162.562377 samples/sec accuracy=28.494792 loss=3.297184 lr=0.056566 Epoch[019] Batch [0349]/[3760] Speed: 163.097017 samples/sec accuracy=28.513393 loss=3.304118 lr=0.056604 Epoch[019] Batch [0399]/[3760] Speed: 164.801781 samples/sec accuracy=28.457031 loss=3.309279 lr=0.056643 Epoch[019] Batch [0449]/[3760] Speed: 164.415803 samples/sec accuracy=28.406250 loss=3.310037 lr=0.056682 Epoch[019] Batch [0499]/[3760] Speed: 163.377680 samples/sec accuracy=28.409375 loss=3.308734 lr=0.056721 Epoch[019] Batch [0549]/[3760] Speed: 162.432241 samples/sec accuracy=28.471591 loss=3.306445 lr=0.056759 Epoch[019] Batch [0599]/[3760] Speed: 162.083116 samples/sec accuracy=28.505208 loss=3.301690 lr=0.056798 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loss=3.306195 lr=0.057534 Epoch[019] Batch [1599]/[3760] Speed: 162.370181 samples/sec accuracy=28.227539 loss=3.306780 lr=0.057573 Epoch[019] Batch [1649]/[3760] Speed: 162.590581 samples/sec accuracy=28.242424 loss=3.307092 lr=0.057611 Epoch[019] Batch [1699]/[3760] Speed: 163.506339 samples/sec accuracy=28.253676 loss=3.306262 lr=0.057650 Epoch[019] Batch [1749]/[3760] Speed: 162.846446 samples/sec accuracy=28.255357 loss=3.306617 lr=0.057689 Epoch[019] Batch [1799]/[3760] Speed: 164.206014 samples/sec accuracy=28.236979 loss=3.307305 lr=0.057728 Epoch[019] Batch [1849]/[3760] Speed: 161.648154 samples/sec accuracy=28.237331 loss=3.307797 lr=0.057766 Epoch[019] Batch [1899]/[3760] Speed: 163.594933 samples/sec accuracy=28.234375 loss=3.307403 lr=0.057805 Epoch[019] Batch [1949]/[3760] Speed: 162.234304 samples/sec accuracy=28.250000 loss=3.307797 lr=0.057844 Epoch[019] Batch [1999]/[3760] Speed: 163.704159 samples/sec accuracy=28.235156 loss=3.308493 lr=0.057882 Epoch[019] Batch 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accuracy=28.235625 loss=3.309496 lr=0.058270 Epoch[019] Batch [2549]/[3760] Speed: 166.240102 samples/sec accuracy=28.219363 loss=3.310479 lr=0.058309 Epoch[019] Batch [2599]/[3760] Speed: 162.809504 samples/sec accuracy=28.218149 loss=3.310936 lr=0.058347 Epoch[019] Batch [2649]/[3760] Speed: 164.688102 samples/sec accuracy=28.237028 loss=3.309913 lr=0.058386 Epoch[019] Batch [2699]/[3760] Speed: 162.526192 samples/sec accuracy=28.257523 loss=3.308766 lr=0.058425 Epoch[019] Batch [2749]/[3760] Speed: 164.282536 samples/sec accuracy=28.261364 loss=3.308704 lr=0.058463 Epoch[019] Batch [2799]/[3760] Speed: 164.836403 samples/sec accuracy=28.257254 loss=3.308055 lr=0.058502 Epoch[019] Batch [2849]/[3760] Speed: 162.069680 samples/sec accuracy=28.252193 loss=3.308551 lr=0.058541 Epoch[019] Batch [2899]/[3760] Speed: 164.305455 samples/sec accuracy=28.267780 loss=3.307880 lr=0.058580 Epoch[019] Batch [2949]/[3760] Speed: 164.125665 samples/sec accuracy=28.260593 loss=3.308638 lr=0.058618 Epoch[019] Batch [2999]/[3760] Speed: 163.211597 samples/sec accuracy=28.253125 loss=3.309327 lr=0.058657 Epoch[019] Batch [3049]/[3760] Speed: 163.758029 samples/sec accuracy=28.244877 loss=3.310076 lr=0.058696 Epoch[019] Batch [3099]/[3760] Speed: 164.180376 samples/sec accuracy=28.243952 loss=3.310397 lr=0.058735 Epoch[019] Batch [3149]/[3760] Speed: 163.435740 samples/sec accuracy=28.251488 loss=3.310499 lr=0.058773 Epoch[019] Batch [3199]/[3760] Speed: 164.561840 samples/sec accuracy=28.244629 loss=3.310860 lr=0.058812 Epoch[019] Batch [3249]/[3760] Speed: 163.833432 samples/sec accuracy=28.224519 loss=3.311498 lr=0.058851 Epoch[019] Batch [3299]/[3760] Speed: 164.366498 samples/sec accuracy=28.228693 loss=3.311432 lr=0.058889 Epoch[019] Batch [3349]/[3760] Speed: 164.604208 samples/sec accuracy=28.221082 loss=3.311980 lr=0.058928 Epoch[019] Batch [3399]/[3760] Speed: 163.782958 samples/sec accuracy=28.202206 loss=3.312495 lr=0.058967 Epoch[019] Batch [3449]/[3760] Speed: 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Batch [0299]/[0303]: acc-top1=30.718750 acc-top5=58.770833 [Epoch 019] training: accuracy=28.213514 loss=3.311997 [Epoch 019] speed: 162 samples/sec time cost: 1594.716578 [Epoch 019] validation: acc-top1=30.827145 acc-top5=58.874794 loss=3.173492 Epoch[020] Batch [0049]/[3759] Speed: 116.023821 samples/sec accuracy=28.281250 loss=3.298609 lr=0.059285 Epoch[020] Batch [0099]/[3759] Speed: 165.500104 samples/sec accuracy=28.937500 loss=3.276997 lr=0.059323 Epoch[020] Batch [0149]/[3759] Speed: 163.252727 samples/sec accuracy=28.822917 loss=3.284919 lr=0.059362 Epoch[020] Batch [0199]/[3759] Speed: 165.785750 samples/sec accuracy=29.304688 loss=3.267676 lr=0.059401 Epoch[020] Batch [0249]/[3759] Speed: 163.577774 samples/sec accuracy=29.437500 loss=3.257672 lr=0.059439 Epoch[020] Batch [0299]/[3759] Speed: 163.821924 samples/sec accuracy=29.218750 loss=3.263519 lr=0.059478 Epoch[020] Batch [0349]/[3759] Speed: 162.976505 samples/sec accuracy=28.843750 loss=3.281409 lr=0.059517 Epoch[020] 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accuracy=28.584722 loss=3.301565 lr=0.060989 Epoch[020] Batch [2299]/[3759] Speed: 162.840538 samples/sec accuracy=28.560462 loss=3.302112 lr=0.061027 Epoch[020] Batch [2349]/[3759] Speed: 164.232711 samples/sec accuracy=28.540559 loss=3.302436 lr=0.061066 Epoch[020] Batch [2399]/[3759] Speed: 164.310320 samples/sec accuracy=28.539714 loss=3.301825 lr=0.061105 Epoch[020] Batch [2449]/[3759] Speed: 164.112890 samples/sec accuracy=28.535714 loss=3.302782 lr=0.061144 Epoch[020] Batch [2499]/[3759] Speed: 162.654057 samples/sec accuracy=28.538125 loss=3.302663 lr=0.061182 Epoch[020] Batch [2549]/[3759] Speed: 165.320356 samples/sec accuracy=28.535539 loss=3.302795 lr=0.061221 Epoch[020] Batch [2599]/[3759] Speed: 161.278629 samples/sec accuracy=28.524038 loss=3.303212 lr=0.061260 Epoch[020] Batch [2649]/[3759] Speed: 164.472728 samples/sec accuracy=28.519458 loss=3.303388 lr=0.061299 Epoch[020] Batch [2699]/[3759] Speed: 163.492588 samples/sec accuracy=28.515625 loss=3.303607 lr=0.061337 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loss=3.301402 lr=0.062073 Epoch[020] Batch [3699]/[3759] Speed: 162.619104 samples/sec accuracy=28.521959 loss=3.301748 lr=0.062112 Epoch[020] Batch [3749]/[3759] Speed: 175.685592 samples/sec accuracy=28.500833 loss=3.302586 lr=0.062151 Batch [0049]/[0303]: acc-top1=29.937500 acc-top5=57.468750 Batch [0099]/[0303]: acc-top1=27.703125 acc-top5=53.953125 Batch [0149]/[0303]: acc-top1=29.354167 acc-top5=55.125000 Batch [0199]/[0303]: acc-top1=32.070312 acc-top5=57.500000 Batch [0249]/[0303]: acc-top1=30.718750 acc-top5=57.100000 Batch [0299]/[0303]: acc-top1=30.020833 acc-top5=56.984375 [Epoch 020] training: accuracy=28.501596 loss=3.302533 [Epoch 020] speed: 162 samples/sec time cost: 1595.425853 [Epoch 020] validation: acc-top1=29.950495 acc-top5=56.971947 loss=3.263720 Epoch[021] Batch [0049]/[3760] Speed: 114.027824 samples/sec accuracy=29.468750 loss=3.291541 lr=0.062196 Epoch[021] Batch [0099]/[3760] Speed: 162.243735 samples/sec accuracy=27.859375 loss=3.328512 lr=0.062235 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loss=3.288838 lr=0.062971 Epoch[021] Batch [1099]/[3760] Speed: 164.363801 samples/sec accuracy=28.640625 loss=3.288750 lr=0.063010 Epoch[021] Batch [1149]/[3760] Speed: 164.325724 samples/sec accuracy=28.664402 loss=3.286927 lr=0.063048 Epoch[021] Batch [1199]/[3760] Speed: 164.210472 samples/sec accuracy=28.673177 loss=3.287821 lr=0.063087 Epoch[021] Batch [1249]/[3760] Speed: 164.984785 samples/sec accuracy=28.651250 loss=3.288590 lr=0.063126 Epoch[021] Batch [1299]/[3760] Speed: 163.030151 samples/sec accuracy=28.634615 loss=3.289861 lr=0.063165 Epoch[021] Batch [1349]/[3760] Speed: 164.285906 samples/sec accuracy=28.630787 loss=3.289646 lr=0.063203 Epoch[021] Batch [1399]/[3760] Speed: 163.343686 samples/sec accuracy=28.604911 loss=3.290213 lr=0.063242 Epoch[021] Batch [1449]/[3760] Speed: 162.416659 samples/sec accuracy=28.601293 loss=3.288313 lr=0.063281 Epoch[021] Batch [1499]/[3760] Speed: 163.006371 samples/sec accuracy=28.631250 loss=3.287756 lr=0.063320 Epoch[021] Batch 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accuracy=28.597656 loss=3.296207 lr=0.063707 Epoch[021] Batch [2049]/[3760] Speed: 164.101858 samples/sec accuracy=28.598323 loss=3.296749 lr=0.063746 Epoch[021] Batch [2099]/[3760] Speed: 162.320210 samples/sec accuracy=28.623512 loss=3.295598 lr=0.063784 Epoch[021] Batch [2149]/[3760] Speed: 162.453669 samples/sec accuracy=28.638808 loss=3.295219 lr=0.063823 Epoch[021] Batch [2199]/[3760] Speed: 161.171943 samples/sec accuracy=28.635653 loss=3.294859 lr=0.063862 Epoch[021] Batch [2249]/[3760] Speed: 164.609261 samples/sec accuracy=28.624306 loss=3.296051 lr=0.063900 Epoch[021] Batch [2299]/[3760] Speed: 162.871301 samples/sec accuracy=28.604620 loss=3.295458 lr=0.063939 Epoch[021] Batch [2349]/[3760] Speed: 165.163561 samples/sec accuracy=28.610372 loss=3.295664 lr=0.063978 Epoch[021] Batch [2399]/[3760] Speed: 162.626077 samples/sec accuracy=28.617839 loss=3.295750 lr=0.064017 Epoch[021] Batch [2449]/[3760] Speed: 164.205729 samples/sec accuracy=28.610969 loss=3.296243 lr=0.064055 Epoch[021] Batch [2499]/[3760] Speed: 163.062812 samples/sec accuracy=28.629375 loss=3.295287 lr=0.064094 Epoch[021] Batch [2549]/[3760] Speed: 161.754569 samples/sec accuracy=28.613358 loss=3.295812 lr=0.064133 Epoch[021] Batch [2599]/[3760] Speed: 163.042576 samples/sec accuracy=28.595553 loss=3.296229 lr=0.064172 Epoch[021] Batch [2649]/[3760] Speed: 164.219019 samples/sec accuracy=28.570165 loss=3.296867 lr=0.064210 Epoch[021] Batch [2699]/[3760] Speed: 160.463315 samples/sec accuracy=28.559606 loss=3.297532 lr=0.064249 Epoch[021] Batch [2749]/[3760] Speed: 163.190765 samples/sec accuracy=28.543750 loss=3.298118 lr=0.064288 Epoch[021] Batch [2799]/[3760] Speed: 164.194254 samples/sec accuracy=28.536272 loss=3.298939 lr=0.064327 Epoch[021] Batch [2849]/[3760] Speed: 163.673246 samples/sec accuracy=28.526864 loss=3.299536 lr=0.064365 Epoch[021] Batch [2899]/[3760] Speed: 163.857182 samples/sec accuracy=28.537716 loss=3.299153 lr=0.064404 Epoch[021] Batch [2949]/[3760] Speed: 164.663908 samples/sec accuracy=28.531250 loss=3.298837 lr=0.064443 Epoch[021] Batch [2999]/[3760] Speed: 164.437509 samples/sec accuracy=28.544792 loss=3.298695 lr=0.064481 Epoch[021] Batch [3049]/[3760] Speed: 162.817403 samples/sec accuracy=28.530738 loss=3.299011 lr=0.064520 Epoch[021] Batch [3099]/[3760] Speed: 164.912146 samples/sec accuracy=28.531250 loss=3.299395 lr=0.064559 Epoch[021] Batch [3149]/[3760] Speed: 163.229646 samples/sec accuracy=28.535218 loss=3.299909 lr=0.064598 Epoch[021] Batch [3199]/[3760] Speed: 163.653846 samples/sec accuracy=28.545898 loss=3.299647 lr=0.064636 Epoch[021] Batch [3249]/[3760] Speed: 164.608167 samples/sec accuracy=28.538462 loss=3.299855 lr=0.064675 Epoch[021] Batch [3299]/[3760] Speed: 162.808432 samples/sec accuracy=28.525095 loss=3.300355 lr=0.064714 Epoch[021] Batch [3349]/[3760] Speed: 164.411861 samples/sec accuracy=28.536381 loss=3.300412 lr=0.064753 Epoch[021] Batch [3399]/[3760] Speed: 164.583832 samples/sec accuracy=28.524816 loss=3.300352 lr=0.064791 Epoch[021] Batch [3449]/[3760] Speed: 163.233245 samples/sec accuracy=28.538043 loss=3.300220 lr=0.064830 Epoch[021] Batch [3499]/[3760] Speed: 162.775794 samples/sec accuracy=28.530357 loss=3.300824 lr=0.064869 Epoch[021] Batch [3549]/[3760] Speed: 165.194795 samples/sec accuracy=28.541813 loss=3.300693 lr=0.064907 Epoch[021] Batch [3599]/[3760] Speed: 163.632403 samples/sec accuracy=28.556858 loss=3.300284 lr=0.064946 Epoch[021] Batch [3649]/[3760] Speed: 164.780292 samples/sec accuracy=28.555651 loss=3.299938 lr=0.064985 Epoch[021] Batch [3699]/[3760] Speed: 163.008478 samples/sec accuracy=28.548142 loss=3.300047 lr=0.065024 Epoch[021] Batch [3749]/[3760] Speed: 174.842133 samples/sec accuracy=28.530000 loss=3.300526 lr=0.065062 Batch [0049]/[0303]: acc-top1=26.468750 acc-top5=54.125000 Batch [0099]/[0303]: acc-top1=26.312500 acc-top5=53.359375 Batch [0149]/[0303]: acc-top1=26.937500 acc-top5=54.145833 Batch [0199]/[0303]: acc-top1=30.007812 acc-top5=56.609375 Batch [0249]/[0303]: acc-top1=29.550000 acc-top5=56.293750 Batch [0299]/[0303]: acc-top1=28.796875 acc-top5=56.369792 [Epoch 021] training: accuracy=28.533910 loss=3.300594 [Epoch 021] speed: 162 samples/sec time cost: 1596.074279 [Epoch 021] validation: acc-top1=28.883045 acc-top5=56.451114 loss=3.457913 Epoch[022] Batch [0049]/[3760] Speed: 114.588378 samples/sec accuracy=30.031250 loss=3.152137 lr=0.065109 Epoch[022] Batch [0099]/[3760] Speed: 165.184902 samples/sec accuracy=30.015625 loss=3.225717 lr=0.065148 Epoch[022] Batch [0149]/[3760] Speed: 160.681993 samples/sec accuracy=30.166667 loss=3.218156 lr=0.065186 Epoch[022] Batch [0199]/[3760] Speed: 163.614469 samples/sec accuracy=29.703125 loss=3.234053 lr=0.065225 Epoch[022] Batch [0249]/[3760] Speed: 163.689764 samples/sec accuracy=29.506250 loss=3.249960 lr=0.065264 Epoch[022] Batch [0299]/[3760] Speed: 164.561265 samples/sec accuracy=29.229167 loss=3.258851 lr=0.065303 Epoch[022] Batch [0349]/[3760] Speed: 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loss=3.269677 lr=0.065690 Epoch[022] Batch [0849]/[3760] Speed: 164.943951 samples/sec accuracy=29.016544 loss=3.269328 lr=0.065729 Epoch[022] Batch [0899]/[3760] Speed: 163.366834 samples/sec accuracy=28.973958 loss=3.271531 lr=0.065767 Epoch[022] Batch [0949]/[3760] Speed: 165.588499 samples/sec accuracy=28.939145 loss=3.274590 lr=0.065806 Epoch[022] Batch [0999]/[3760] Speed: 164.386187 samples/sec accuracy=28.943750 loss=3.274820 lr=0.065845 Epoch[022] Batch [1049]/[3760] Speed: 165.137342 samples/sec accuracy=28.974702 loss=3.275097 lr=0.065884 Epoch[022] Batch [1099]/[3760] Speed: 160.360611 samples/sec accuracy=28.946023 loss=3.276183 lr=0.065922 Epoch[022] Batch [1149]/[3760] Speed: 165.782267 samples/sec accuracy=28.908967 loss=3.277785 lr=0.065961 Epoch[022] Batch [1199]/[3760] Speed: 163.608607 samples/sec accuracy=28.881510 loss=3.279238 lr=0.066000 Epoch[022] Batch [1249]/[3760] Speed: 163.271615 samples/sec accuracy=28.873750 loss=3.279681 lr=0.066038 Epoch[022] Batch 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loss=3.296988 lr=0.067510 Epoch[022] Batch [3199]/[3760] Speed: 161.918165 samples/sec accuracy=28.624512 loss=3.297642 lr=0.067549 Epoch[022] Batch [3249]/[3760] Speed: 164.720466 samples/sec accuracy=28.607212 loss=3.298445 lr=0.067588 Epoch[022] Batch [3299]/[3760] Speed: 162.267781 samples/sec accuracy=28.613163 loss=3.298196 lr=0.067626 Epoch[022] Batch [3349]/[3760] Speed: 162.997095 samples/sec accuracy=28.618937 loss=3.297602 lr=0.067665 Epoch[022] Batch [3399]/[3760] Speed: 165.044890 samples/sec accuracy=28.622243 loss=3.297565 lr=0.067704 Epoch[022] Batch [3449]/[3760] Speed: 163.031878 samples/sec accuracy=28.618207 loss=3.297660 lr=0.067743 Epoch[022] Batch [3499]/[3760] Speed: 162.232306 samples/sec accuracy=28.629464 loss=3.297274 lr=0.067781 Epoch[022] Batch [3549]/[3760] Speed: 161.886234 samples/sec accuracy=28.624560 loss=3.297446 lr=0.067820 Epoch[022] Batch [3599]/[3760] Speed: 165.147372 samples/sec accuracy=28.617622 loss=3.298017 lr=0.067859 Epoch[022] Batch [3649]/[3760] Speed: 162.675234 samples/sec accuracy=28.627997 loss=3.297430 lr=0.067898 Epoch[022] Batch [3699]/[3760] Speed: 163.423494 samples/sec accuracy=28.622044 loss=3.297173 lr=0.067936 Epoch[022] Batch [3749]/[3760] Speed: 174.536249 samples/sec accuracy=28.621667 loss=3.297067 lr=0.067975 Batch [0049]/[0303]: acc-top1=28.156250 acc-top5=56.000000 Batch [0099]/[0303]: acc-top1=28.015625 acc-top5=54.078125 Batch [0149]/[0303]: acc-top1=29.510417 acc-top5=55.500000 Batch [0199]/[0303]: acc-top1=31.250000 acc-top5=57.585937 Batch [0249]/[0303]: acc-top1=30.368750 acc-top5=57.487500 Batch [0299]/[0303]: acc-top1=29.520833 acc-top5=57.333333 [Epoch 022] training: accuracy=28.623255 loss=3.297119 [Epoch 022] speed: 162 samples/sec time cost: 1595.431991 [Epoch 022] validation: acc-top1=29.563738 acc-top5=57.415429 loss=3.303117 Epoch[023] Batch [0049]/[3759] Speed: 116.049765 samples/sec accuracy=28.687500 loss=3.251472 lr=0.068021 Epoch[023] Batch [0099]/[3759] Speed: 163.657937 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lr=0.068409 Epoch[023] Batch [0599]/[3759] Speed: 164.008279 samples/sec accuracy=28.895833 loss=3.279390 lr=0.068448 Epoch[023] Batch [0649]/[3759] Speed: 163.407298 samples/sec accuracy=28.872596 loss=3.282491 lr=0.068486 Epoch[023] Batch [0699]/[3759] Speed: 163.109987 samples/sec accuracy=28.879464 loss=3.282493 lr=0.068525 Epoch[023] Batch [0749]/[3759] Speed: 164.060015 samples/sec accuracy=28.891667 loss=3.283536 lr=0.068564 Epoch[023] Batch [0799]/[3759] Speed: 166.459729 samples/sec accuracy=28.894531 loss=3.286397 lr=0.068602 Epoch[023] Batch [0849]/[3759] Speed: 163.174847 samples/sec accuracy=28.900735 loss=3.286299 lr=0.068641 Epoch[023] Batch [0899]/[3759] Speed: 164.577055 samples/sec accuracy=28.909722 loss=3.287196 lr=0.068680 Epoch[023] Batch [0949]/[3759] Speed: 163.416197 samples/sec accuracy=28.868421 loss=3.289516 lr=0.068719 Epoch[023] Batch [0999]/[3759] Speed: 164.674766 samples/sec accuracy=28.896875 loss=3.289451 lr=0.068757 Epoch[023] Batch [1049]/[3759] 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accuracy=28.901042 loss=3.283790 lr=0.069145 Epoch[023] Batch [1549]/[3759] Speed: 163.787549 samples/sec accuracy=28.869960 loss=3.286110 lr=0.069183 Epoch[023] Batch [1599]/[3759] Speed: 164.191635 samples/sec accuracy=28.861328 loss=3.285712 lr=0.069222 Epoch[023] Batch [1649]/[3759] Speed: 162.535480 samples/sec accuracy=28.842803 loss=3.287134 lr=0.069261 Epoch[023] Batch [1699]/[3759] Speed: 163.064011 samples/sec accuracy=28.832721 loss=3.287663 lr=0.069300 Epoch[023] Batch [1749]/[3759] Speed: 164.366839 samples/sec accuracy=28.851786 loss=3.287189 lr=0.069338 Epoch[023] Batch [1799]/[3759] Speed: 164.039465 samples/sec accuracy=28.802951 loss=3.289225 lr=0.069377 Epoch[023] Batch [1849]/[3759] Speed: 162.512370 samples/sec accuracy=28.796453 loss=3.289351 lr=0.069416 Epoch[023] Batch [1899]/[3759] Speed: 165.706171 samples/sec accuracy=28.781250 loss=3.289563 lr=0.069455 Epoch[023] Batch [1949]/[3759] Speed: 164.599375 samples/sec accuracy=28.753205 loss=3.290193 lr=0.069493 Epoch[023] Batch [1999]/[3759] Speed: 163.359030 samples/sec accuracy=28.742969 loss=3.289945 lr=0.069532 Epoch[023] Batch [2049]/[3759] Speed: 164.560519 samples/sec accuracy=28.738567 loss=3.290726 lr=0.069571 Epoch[023] Batch [2099]/[3759] Speed: 162.967456 samples/sec accuracy=28.726190 loss=3.290548 lr=0.069609 Epoch[023] Batch [2149]/[3759] Speed: 163.917202 samples/sec accuracy=28.706395 loss=3.291449 lr=0.069648 Epoch[023] Batch [2199]/[3759] Speed: 163.812549 samples/sec accuracy=28.703835 loss=3.291548 lr=0.069687 Epoch[023] Batch [2249]/[3759] Speed: 161.533848 samples/sec accuracy=28.702778 loss=3.292550 lr=0.069726 Epoch[023] Batch [2299]/[3759] Speed: 164.070375 samples/sec accuracy=28.722826 loss=3.291549 lr=0.069764 Epoch[023] Batch [2349]/[3759] Speed: 163.065057 samples/sec accuracy=28.753324 loss=3.291622 lr=0.069803 Epoch[023] Batch [2399]/[3759] Speed: 162.909285 samples/sec accuracy=28.739583 loss=3.291975 lr=0.069842 Epoch[023] Batch [2449]/[3759] Speed: 163.562479 samples/sec accuracy=28.737883 loss=3.292889 lr=0.069881 Epoch[023] Batch [2499]/[3759] Speed: 162.462270 samples/sec accuracy=28.729375 loss=3.293411 lr=0.069919 Epoch[023] Batch [2549]/[3759] Speed: 162.359045 samples/sec accuracy=28.710172 loss=3.293699 lr=0.069958 Epoch[023] Batch [2599]/[3759] Speed: 162.035873 samples/sec accuracy=28.688101 loss=3.294058 lr=0.069997 Epoch[023] Batch [2649]/[3759] Speed: 167.003483 samples/sec accuracy=28.695755 loss=3.294907 lr=0.070035 Epoch[023] Batch [2699]/[3759] Speed: 163.189755 samples/sec accuracy=28.677083 loss=3.296198 lr=0.070074 Epoch[023] Batch [2749]/[3759] Speed: 163.989222 samples/sec accuracy=28.681250 loss=3.296786 lr=0.070113 Epoch[023] Batch [2799]/[3759] Speed: 162.415863 samples/sec accuracy=28.667969 loss=3.296380 lr=0.070152 Epoch[023] Batch [2849]/[3759] Speed: 163.570813 samples/sec accuracy=28.653509 loss=3.296890 lr=0.070190 Epoch[023] Batch [2899]/[3759] Speed: 163.265722 samples/sec accuracy=28.641703 loss=3.297480 lr=0.070229 Epoch[023] Batch [2949]/[3759] Speed: 162.559207 samples/sec accuracy=28.653072 loss=3.297415 lr=0.070268 Epoch[023] Batch [2999]/[3759] Speed: 164.130073 samples/sec accuracy=28.652083 loss=3.296894 lr=0.070307 Epoch[023] Batch [3049]/[3759] Speed: 161.845392 samples/sec accuracy=28.651127 loss=3.296987 lr=0.070345 Epoch[023] Batch [3099]/[3759] Speed: 163.422903 samples/sec accuracy=28.670363 loss=3.296960 lr=0.070384 Epoch[023] Batch [3149]/[3759] Speed: 163.558921 samples/sec accuracy=28.668651 loss=3.296795 lr=0.070423 Epoch[023] Batch [3199]/[3759] Speed: 164.219093 samples/sec accuracy=28.659668 loss=3.298093 lr=0.070462 Epoch[023] Batch [3249]/[3759] Speed: 164.330538 samples/sec accuracy=28.660096 loss=3.298461 lr=0.070500 Epoch[023] Batch [3299]/[3759] Speed: 163.644867 samples/sec accuracy=28.673295 loss=3.297805 lr=0.070539 Epoch[023] Batch [3349]/[3759] Speed: 163.266884 samples/sec accuracy=28.669310 loss=3.298032 lr=0.070578 Epoch[023] Batch [3399]/[3759] Speed: 162.243319 samples/sec accuracy=28.647059 loss=3.298659 lr=0.070616 Epoch[023] Batch [3449]/[3759] Speed: 163.046704 samples/sec accuracy=28.649457 loss=3.298369 lr=0.070655 Epoch[023] Batch [3499]/[3759] Speed: 163.472492 samples/sec accuracy=28.646875 loss=3.298048 lr=0.070694 Epoch[023] Batch [3549]/[3759] Speed: 162.271220 samples/sec accuracy=28.636004 loss=3.298649 lr=0.070733 Epoch[023] Batch [3599]/[3759] Speed: 163.870932 samples/sec accuracy=28.626736 loss=3.299236 lr=0.070771 Epoch[023] Batch [3649]/[3759] Speed: 164.863034 samples/sec accuracy=28.625428 loss=3.299169 lr=0.070810 Epoch[023] Batch [3699]/[3759] Speed: 164.833660 samples/sec accuracy=28.616554 loss=3.299729 lr=0.070849 Epoch[023] Batch [3749]/[3759] Speed: 176.173449 samples/sec accuracy=28.622500 loss=3.299460 lr=0.070888 Batch [0049]/[0303]: acc-top1=30.312500 acc-top5=55.625000 Batch [0099]/[0303]: acc-top1=27.718750 acc-top5=53.234375 Batch [0149]/[0303]: acc-top1=29.218750 acc-top5=55.239583 Batch [0199]/[0303]: acc-top1=31.500000 acc-top5=57.257813 Batch [0249]/[0303]: acc-top1=30.637500 acc-top5=57.043750 Batch [0299]/[0303]: acc-top1=29.984375 acc-top5=56.973958 [Epoch 023] training: accuracy=28.622972 loss=3.299370 [Epoch 023] speed: 162 samples/sec time cost: 1592.657475 [Epoch 023] validation: acc-top1=29.919554 acc-top5=57.008045 loss=3.245388 Epoch[024] Batch [0049]/[3760] Speed: 114.583724 samples/sec accuracy=28.562500 loss=3.265956 lr=0.070933 Epoch[024] Batch [0099]/[3760] Speed: 165.579831 samples/sec accuracy=29.140625 loss=3.257286 lr=0.070972 Epoch[024] Batch [0149]/[3760] Speed: 163.461905 samples/sec accuracy=29.270833 loss=3.252613 lr=0.071011 Epoch[024] Batch [0199]/[3760] Speed: 163.710740 samples/sec accuracy=29.039062 loss=3.259392 lr=0.071049 Epoch[024] Batch [0249]/[3760] Speed: 163.540417 samples/sec accuracy=28.825000 loss=3.282665 lr=0.071088 Epoch[024] Batch [0299]/[3760] Speed: 164.910939 samples/sec accuracy=29.046875 loss=3.269068 lr=0.071127 Epoch[024] Batch [0349]/[3760] Speed: 163.350135 samples/sec accuracy=29.107143 loss=3.270572 lr=0.071166 Epoch[024] Batch [0399]/[3760] Speed: 162.751691 samples/sec accuracy=28.968750 loss=3.274755 lr=0.071204 Epoch[024] Batch [0449]/[3760] Speed: 164.055283 samples/sec accuracy=28.857639 loss=3.281627 lr=0.071243 Epoch[024] Batch [0499]/[3760] Speed: 164.794432 samples/sec accuracy=28.971875 loss=3.279541 lr=0.071282 Epoch[024] Batch [0549]/[3760] Speed: 164.413418 samples/sec accuracy=28.835227 loss=3.286270 lr=0.071321 Epoch[024] Batch [0599]/[3760] Speed: 164.147849 samples/sec accuracy=28.768229 loss=3.285817 lr=0.071359 Epoch[024] Batch [0649]/[3760] Speed: 164.999291 samples/sec accuracy=28.747596 loss=3.285713 lr=0.071398 Epoch[024] Batch [0699]/[3760] Speed: 162.042446 samples/sec accuracy=28.787946 loss=3.280402 lr=0.071437 Epoch[024] Batch [0749]/[3760] Speed: 166.376405 samples/sec accuracy=28.754167 loss=3.282747 lr=0.071475 Epoch[024] Batch 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loss=3.293798 lr=0.072947 Epoch[024] Batch [2699]/[3760] Speed: 163.051685 samples/sec accuracy=28.520255 loss=3.294335 lr=0.072986 Epoch[024] Batch [2749]/[3760] Speed: 162.144644 samples/sec accuracy=28.502273 loss=3.294703 lr=0.073025 Epoch[024] Batch [2799]/[3760] Speed: 165.176159 samples/sec accuracy=28.500000 loss=3.295369 lr=0.073063 Epoch[024] Batch [2849]/[3760] Speed: 163.118864 samples/sec accuracy=28.502193 loss=3.295447 lr=0.073102 Epoch[024] Batch [2899]/[3760] Speed: 161.901485 samples/sec accuracy=28.487069 loss=3.296870 lr=0.073141 Epoch[024] Batch [2949]/[3760] Speed: 162.499774 samples/sec accuracy=28.490996 loss=3.297515 lr=0.073180 Epoch[024] Batch [2999]/[3760] Speed: 165.117486 samples/sec accuracy=28.484896 loss=3.298974 lr=0.073218 Epoch[024] Batch [3049]/[3760] Speed: 162.787902 samples/sec accuracy=28.470799 loss=3.299813 lr=0.073257 Epoch[024] Batch [3099]/[3760] Speed: 162.105728 samples/sec accuracy=28.467238 loss=3.299897 lr=0.073296 Epoch[024] Batch 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accuracy=28.476563 loss=3.301673 lr=0.073683 Epoch[024] Batch [3649]/[3760] Speed: 165.849096 samples/sec accuracy=28.490582 loss=3.301341 lr=0.073722 Epoch[024] Batch [3699]/[3760] Speed: 163.890389 samples/sec accuracy=28.490287 loss=3.300732 lr=0.073761 Epoch[024] Batch [3749]/[3760] Speed: 174.192214 samples/sec accuracy=28.478333 loss=3.301383 lr=0.073799 Batch [0049]/[0303]: acc-top1=29.656250 acc-top5=54.906250 Batch [0099]/[0303]: acc-top1=27.921875 acc-top5=53.125000 Batch [0149]/[0303]: acc-top1=28.916667 acc-top5=54.093750 Batch [0199]/[0303]: acc-top1=31.515625 acc-top5=56.265625 Batch [0249]/[0303]: acc-top1=30.668750 acc-top5=55.906250 Batch [0299]/[0303]: acc-top1=29.984375 acc-top5=56.109375 [Epoch 024] training: accuracy=28.476147 loss=3.301669 [Epoch 024] speed: 162 samples/sec time cost: 1593.057333 [Epoch 024] validation: acc-top1=29.929868 acc-top5=56.069513 loss=3.316918 Epoch[025] Batch [0049]/[3760] Speed: 114.489378 samples/sec accuracy=30.218750 loss=3.187762 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accuracy=28.503125 loss=3.302822 lr=0.074582 Epoch[025] Batch [1049]/[3760] Speed: 164.973926 samples/sec accuracy=28.510417 loss=3.301989 lr=0.074620 Epoch[025] Batch [1099]/[3760] Speed: 162.526625 samples/sec accuracy=28.514205 loss=3.299889 lr=0.074659 Epoch[025] Batch [1149]/[3760] Speed: 165.026442 samples/sec accuracy=28.453804 loss=3.300078 lr=0.074698 Epoch[025] Batch [1199]/[3760] Speed: 163.607257 samples/sec accuracy=28.472656 loss=3.302079 lr=0.074737 Epoch[025] Batch [1249]/[3760] Speed: 165.541768 samples/sec accuracy=28.492500 loss=3.301950 lr=0.074775 Epoch[025] Batch [1299]/[3760] Speed: 164.920671 samples/sec accuracy=28.554087 loss=3.301107 lr=0.074814 Epoch[025] Batch [1349]/[3760] Speed: 165.787714 samples/sec accuracy=28.578704 loss=3.299869 lr=0.074853 Epoch[025] Batch [1399]/[3760] Speed: 162.797148 samples/sec accuracy=28.607143 loss=3.297840 lr=0.074892 Epoch[025] Batch [1449]/[3760] Speed: 164.880134 samples/sec accuracy=28.606681 loss=3.298834 lr=0.074930 Epoch[025] Batch [1499]/[3760] Speed: 163.710009 samples/sec accuracy=28.575000 loss=3.299388 lr=0.074969 Epoch[025] Batch [1549]/[3760] Speed: 163.799148 samples/sec accuracy=28.537298 loss=3.299083 lr=0.075008 Epoch[025] Batch [1599]/[3760] Speed: 164.453873 samples/sec accuracy=28.487305 loss=3.300084 lr=0.075046 Epoch[025] Batch [1649]/[3760] Speed: 163.597731 samples/sec accuracy=28.455492 loss=3.300761 lr=0.075085 Epoch[025] Batch [1699]/[3760] Speed: 164.088312 samples/sec accuracy=28.454044 loss=3.300278 lr=0.075124 Epoch[025] Batch [1749]/[3760] Speed: 164.430295 samples/sec accuracy=28.469643 loss=3.299698 lr=0.075163 Epoch[025] Batch [1799]/[3760] Speed: 161.483205 samples/sec accuracy=28.482639 loss=3.300042 lr=0.075201 Epoch[025] Batch [1849]/[3760] Speed: 161.140534 samples/sec accuracy=28.483953 loss=3.301068 lr=0.075240 Epoch[025] Batch [1899]/[3760] Speed: 162.714556 samples/sec accuracy=28.468750 loss=3.300808 lr=0.075279 Epoch[025] Batch [1949]/[3760] Speed: 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loss=3.306813 lr=0.075666 Epoch[025] Batch [2449]/[3760] Speed: 164.402315 samples/sec accuracy=28.386480 loss=3.306264 lr=0.075705 Epoch[025] Batch [2499]/[3760] Speed: 162.216326 samples/sec accuracy=28.371875 loss=3.306013 lr=0.075744 Epoch[025] Batch [2549]/[3760] Speed: 164.007435 samples/sec accuracy=28.375613 loss=3.306533 lr=0.075782 Epoch[025] Batch [2599]/[3760] Speed: 163.380353 samples/sec accuracy=28.371995 loss=3.307342 lr=0.075821 Epoch[025] Batch [2649]/[3760] Speed: 162.846954 samples/sec accuracy=28.415684 loss=3.306273 lr=0.075860 Epoch[025] Batch [2699]/[3760] Speed: 163.066251 samples/sec accuracy=28.424769 loss=3.306245 lr=0.075899 Epoch[025] Batch [2749]/[3760] Speed: 163.749310 samples/sec accuracy=28.446023 loss=3.305625 lr=0.075937 Epoch[025] Batch [2799]/[3760] Speed: 163.075920 samples/sec accuracy=28.445871 loss=3.305281 lr=0.075976 Epoch[025] Batch [2849]/[3760] Speed: 164.060944 samples/sec accuracy=28.442982 loss=3.305832 lr=0.076015 Epoch[025] Batch 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accuracy=28.427239 loss=3.310027 lr=0.076402 Epoch[025] Batch [3399]/[3760] Speed: 162.843800 samples/sec accuracy=28.442555 loss=3.309994 lr=0.076441 Epoch[025] Batch [3449]/[3760] Speed: 162.891333 samples/sec accuracy=28.459692 loss=3.309641 lr=0.076480 Epoch[025] Batch [3499]/[3760] Speed: 165.371426 samples/sec accuracy=28.475446 loss=3.309251 lr=0.076518 Epoch[025] Batch [3549]/[3760] Speed: 163.546483 samples/sec accuracy=28.459067 loss=3.310127 lr=0.076557 Epoch[025] Batch [3599]/[3760] Speed: 164.981786 samples/sec accuracy=28.464844 loss=3.310420 lr=0.076596 Epoch[025] Batch [3649]/[3760] Speed: 164.468576 samples/sec accuracy=28.461045 loss=3.311296 lr=0.076634 Epoch[025] Batch [3699]/[3760] Speed: 164.264634 samples/sec accuracy=28.445524 loss=3.311886 lr=0.076673 Epoch[025] Batch [3749]/[3760] Speed: 175.692765 samples/sec accuracy=28.425417 loss=3.312009 lr=0.076712 Batch [0049]/[0303]: acc-top1=29.531250 acc-top5=56.218750 Batch [0099]/[0303]: acc-top1=27.437500 acc-top5=54.078125 Batch [0149]/[0303]: acc-top1=28.479167 acc-top5=54.937500 Batch [0199]/[0303]: acc-top1=31.273438 acc-top5=57.132812 Batch [0249]/[0303]: acc-top1=30.443750 acc-top5=56.381250 Batch [0299]/[0303]: acc-top1=29.703125 acc-top5=56.375000 [Epoch 025] training: accuracy=28.430020 loss=3.311640 [Epoch 025] speed: 163 samples/sec time cost: 1591.902953 [Epoch 025] validation: acc-top1=29.666873 acc-top5=56.353135 loss=3.443745 Epoch[026] Batch [0049]/[3759] Speed: 117.495200 samples/sec accuracy=28.875000 loss=3.258724 lr=0.076758 Epoch[026] Batch [0099]/[3759] Speed: 164.684406 samples/sec accuracy=28.265625 loss=3.288395 lr=0.076797 Epoch[026] Batch [0149]/[3759] Speed: 164.214892 samples/sec accuracy=28.750000 loss=3.270356 lr=0.076836 Epoch[026] Batch [0199]/[3759] Speed: 163.534070 samples/sec accuracy=28.140625 loss=3.294648 lr=0.076875 Epoch[026] Batch [0249]/[3759] Speed: 162.352862 samples/sec accuracy=28.168750 loss=3.292867 lr=0.076913 Epoch[026] Batch 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Epoch[026] Batch [3599]/[3759] Speed: 163.442306 samples/sec accuracy=28.317274 loss=3.309144 lr=0.079508 Epoch[026] Batch [3649]/[3759] Speed: 164.058363 samples/sec accuracy=28.333476 loss=3.310015 lr=0.079547 Epoch[026] Batch [3699]/[3759] Speed: 163.712981 samples/sec accuracy=28.318834 loss=3.310724 lr=0.079586 Epoch[026] Batch [3749]/[3759] Speed: 177.892238 samples/sec accuracy=28.312500 loss=3.311477 lr=0.079624 Batch [0049]/[0303]: acc-top1=27.593750 acc-top5=52.812500 Batch [0099]/[0303]: acc-top1=26.312500 acc-top5=52.656250 Batch [0149]/[0303]: acc-top1=28.041667 acc-top5=53.947917 Batch [0199]/[0303]: acc-top1=30.070312 acc-top5=56.312500 Batch [0249]/[0303]: acc-top1=29.362500 acc-top5=56.331250 Batch [0299]/[0303]: acc-top1=29.078125 acc-top5=56.463542 [Epoch 026] training: accuracy=28.316208 loss=3.311103 [Epoch 026] speed: 163 samples/sec time cost: 1590.418705 [Epoch 026] validation: acc-top1=29.011964 acc-top5=56.409860 loss=3.412957 Epoch[027] Batch [0049]/[3760] 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accuracy=28.021875 loss=3.326960 lr=0.080019 Epoch[027] Batch [0549]/[3760] Speed: 165.534343 samples/sec accuracy=28.156250 loss=3.321498 lr=0.080057 Epoch[027] Batch [0599]/[3760] Speed: 160.410229 samples/sec accuracy=28.184896 loss=3.315924 lr=0.080096 Epoch[027] Batch [0649]/[3760] Speed: 162.895929 samples/sec accuracy=28.069712 loss=3.318906 lr=0.080135 Epoch[027] Batch [0699]/[3760] Speed: 164.059277 samples/sec accuracy=27.997768 loss=3.320362 lr=0.080174 Epoch[027] Batch [0749]/[3760] Speed: 164.856753 samples/sec accuracy=27.956250 loss=3.319182 lr=0.080212 Epoch[027] Batch [0799]/[3760] Speed: 164.064515 samples/sec accuracy=28.003906 loss=3.318705 lr=0.080251 Epoch[027] Batch [0849]/[3760] Speed: 163.366912 samples/sec accuracy=27.996324 loss=3.320977 lr=0.080290 Epoch[027] Batch [0899]/[3760] Speed: 163.544115 samples/sec accuracy=28.010417 loss=3.321691 lr=0.080329 Epoch[027] Batch [0949]/[3760] Speed: 163.397114 samples/sec accuracy=28.003289 loss=3.321426 lr=0.080367 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loss=3.315409 lr=0.081103 Epoch[027] Batch [1949]/[3760] Speed: 163.017597 samples/sec accuracy=28.172276 loss=3.315324 lr=0.081142 Epoch[027] Batch [1999]/[3760] Speed: 163.626826 samples/sec accuracy=28.198438 loss=3.314264 lr=0.081181 Epoch[027] Batch [2049]/[3760] Speed: 163.554028 samples/sec accuracy=28.206555 loss=3.314668 lr=0.081219 Epoch[027] Batch [2099]/[3760] Speed: 161.870720 samples/sec accuracy=28.219494 loss=3.314850 lr=0.081258 Epoch[027] Batch [2149]/[3760] Speed: 164.358717 samples/sec accuracy=28.199855 loss=3.314863 lr=0.081297 Epoch[027] Batch [2199]/[3760] Speed: 163.341603 samples/sec accuracy=28.191051 loss=3.315466 lr=0.081336 Epoch[027] Batch [2249]/[3760] Speed: 162.552508 samples/sec accuracy=28.204861 loss=3.316458 lr=0.081374 Epoch[027] Batch [2299]/[3760] Speed: 164.155488 samples/sec accuracy=28.212636 loss=3.316374 lr=0.081413 Epoch[027] Batch [2349]/[3760] Speed: 164.370041 samples/sec accuracy=28.232713 loss=3.316610 lr=0.081452 Epoch[027] Batch 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accuracy=28.260417 loss=3.317317 lr=0.081839 Epoch[027] Batch [2899]/[3760] Speed: 164.675810 samples/sec accuracy=28.255927 loss=3.318315 lr=0.081878 Epoch[027] Batch [2949]/[3760] Speed: 163.999451 samples/sec accuracy=28.253708 loss=3.319328 lr=0.081917 Epoch[027] Batch [2999]/[3760] Speed: 164.310729 samples/sec accuracy=28.263021 loss=3.318756 lr=0.081955 Epoch[027] Batch [3049]/[3760] Speed: 163.588796 samples/sec accuracy=28.242828 loss=3.320134 lr=0.081994 Epoch[027] Batch [3099]/[3760] Speed: 164.355302 samples/sec accuracy=28.250000 loss=3.320261 lr=0.082033 Epoch[027] Batch [3149]/[3760] Speed: 164.951277 samples/sec accuracy=28.240575 loss=3.321227 lr=0.082071 Epoch[027] Batch [3199]/[3760] Speed: 163.302471 samples/sec accuracy=28.250488 loss=3.320650 lr=0.082110 Epoch[027] Batch [3249]/[3760] Speed: 164.045523 samples/sec accuracy=28.245192 loss=3.320947 lr=0.082149 Epoch[027] Batch [3299]/[3760] Speed: 162.409034 samples/sec accuracy=28.256629 loss=3.320311 lr=0.082188 Epoch[027] Batch [3349]/[3760] Speed: 165.690608 samples/sec accuracy=28.256996 loss=3.319846 lr=0.082226 Epoch[027] Batch [3399]/[3760] Speed: 164.324076 samples/sec accuracy=28.264246 loss=3.319832 lr=0.082265 Epoch[027] Batch [3449]/[3760] Speed: 163.188636 samples/sec accuracy=28.264040 loss=3.320174 lr=0.082304 Epoch[027] Batch [3499]/[3760] Speed: 163.790467 samples/sec accuracy=28.275446 loss=3.320400 lr=0.082343 Epoch[027] Batch [3549]/[3760] Speed: 162.443785 samples/sec accuracy=28.264525 loss=3.321080 lr=0.082381 Epoch[027] Batch [3599]/[3760] Speed: 164.124148 samples/sec accuracy=28.268229 loss=3.321031 lr=0.082420 Epoch[027] Batch [3649]/[3760] Speed: 162.881463 samples/sec accuracy=28.257277 loss=3.321520 lr=0.082459 Epoch[027] Batch [3699]/[3760] Speed: 162.490102 samples/sec accuracy=28.264358 loss=3.321255 lr=0.082498 Epoch[027] Batch [3749]/[3760] Speed: 175.049041 samples/sec accuracy=28.262083 loss=3.321679 lr=0.082536 Batch [0049]/[0303]: acc-top1=27.781250 acc-top5=54.718750 Batch [0099]/[0303]: acc-top1=25.859375 acc-top5=52.875000 Batch [0149]/[0303]: acc-top1=27.739583 acc-top5=55.135417 Batch [0199]/[0303]: acc-top1=29.335937 acc-top5=56.367188 Batch [0249]/[0303]: acc-top1=28.837500 acc-top5=55.943750 Batch [0299]/[0303]: acc-top1=27.880208 acc-top5=55.364583 [Epoch 027] training: accuracy=28.260057 loss=3.321805 [Epoch 027] speed: 163 samples/sec time cost: 1591.751926 [Epoch 027] validation: acc-top1=27.959983 acc-top5=55.435231 loss=3.436254 Epoch[028] Batch [0049]/[3760] Speed: 114.441868 samples/sec accuracy=29.125000 loss=3.315722 lr=0.082583 Epoch[028] Batch [0099]/[3760] Speed: 165.919193 samples/sec accuracy=28.671875 loss=3.303911 lr=0.082621 Epoch[028] Batch [0149]/[3760] Speed: 161.872190 samples/sec accuracy=28.791667 loss=3.296384 lr=0.082660 Epoch[028] Batch [0199]/[3760] Speed: 164.428101 samples/sec accuracy=29.093750 loss=3.279256 lr=0.082699 Epoch[028] Batch [0249]/[3760] Speed: 164.970426 samples/sec accuracy=28.975000 loss=3.282437 lr=0.082738 Epoch[028] Batch [0299]/[3760] Speed: 162.712641 samples/sec accuracy=28.880208 loss=3.285974 lr=0.082776 Epoch[028] Batch [0349]/[3760] Speed: 163.883644 samples/sec accuracy=29.004464 loss=3.282084 lr=0.082815 Epoch[028] Batch [0399]/[3760] Speed: 163.750761 samples/sec accuracy=28.917969 loss=3.284423 lr=0.082854 Epoch[028] Batch [0449]/[3760] Speed: 163.177353 samples/sec accuracy=28.885417 loss=3.284038 lr=0.082893 Epoch[028] Batch [0499]/[3760] Speed: 165.917690 samples/sec accuracy=28.809375 loss=3.291673 lr=0.082931 Epoch[028] Batch [0549]/[3760] Speed: 163.466378 samples/sec accuracy=28.752841 loss=3.291657 lr=0.082970 Epoch[028] Batch [0599]/[3760] Speed: 163.975215 samples/sec accuracy=28.643229 loss=3.293454 lr=0.083009 Epoch[028] Batch [0649]/[3760] Speed: 165.516089 samples/sec accuracy=28.632212 loss=3.294952 lr=0.083047 Epoch[028] Batch [0699]/[3760] Speed: 162.272645 samples/sec accuracy=28.678571 loss=3.292981 lr=0.083086 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accuracy=28.315505 loss=3.320664 lr=0.084558 Epoch[028] Batch [2649]/[3760] Speed: 166.016802 samples/sec accuracy=28.326061 loss=3.320690 lr=0.084597 Epoch[028] Batch [2699]/[3760] Speed: 165.351456 samples/sec accuracy=28.315394 loss=3.320297 lr=0.084635 Epoch[028] Batch [2749]/[3760] Speed: 163.995377 samples/sec accuracy=28.344318 loss=3.319400 lr=0.084674 Epoch[028] Batch [2799]/[3760] Speed: 163.752331 samples/sec accuracy=28.317522 loss=3.320511 lr=0.084713 Epoch[028] Batch [2849]/[3760] Speed: 164.125422 samples/sec accuracy=28.301535 loss=3.321399 lr=0.084752 Epoch[028] Batch [2899]/[3760] Speed: 162.684821 samples/sec accuracy=28.299569 loss=3.321897 lr=0.084790 Epoch[028] Batch [2949]/[3760] Speed: 166.724331 samples/sec accuracy=28.309322 loss=3.321740 lr=0.084829 Epoch[028] Batch [2999]/[3760] Speed: 163.667035 samples/sec accuracy=28.319792 loss=3.322095 lr=0.084868 Epoch[028] Batch [3049]/[3760] Speed: 163.428992 samples/sec accuracy=28.332992 loss=3.321660 lr=0.084907 Epoch[028] Batch [3099]/[3760] Speed: 164.624601 samples/sec accuracy=28.323085 loss=3.322946 lr=0.084945 Epoch[028] Batch [3149]/[3760] Speed: 165.060819 samples/sec accuracy=28.313988 loss=3.323315 lr=0.084984 Epoch[028] Batch [3199]/[3760] Speed: 162.745084 samples/sec accuracy=28.289551 loss=3.324819 lr=0.085023 Epoch[028] Batch [3249]/[3760] Speed: 166.904702 samples/sec accuracy=28.280288 loss=3.324907 lr=0.085061 Epoch[028] Batch [3299]/[3760] Speed: 163.800030 samples/sec accuracy=28.290720 loss=3.324798 lr=0.085100 Epoch[028] Batch [3349]/[3760] Speed: 162.963160 samples/sec accuracy=28.289179 loss=3.324478 lr=0.085139 Epoch[028] Batch [3399]/[3760] Speed: 164.504341 samples/sec accuracy=28.283548 loss=3.324776 lr=0.085178 Epoch[028] Batch [3449]/[3760] Speed: 166.301914 samples/sec accuracy=28.281703 loss=3.325176 lr=0.085216 Epoch[028] Batch [3499]/[3760] Speed: 162.162787 samples/sec accuracy=28.297768 loss=3.325345 lr=0.085255 Epoch[028] Batch [3549]/[3760] Speed: 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acc-top1=29.125413 acc-top5=55.729167 loss=3.396556 Epoch[029] Batch [0049]/[3759] Speed: 115.567555 samples/sec accuracy=28.093750 loss=3.259716 lr=0.085495 Epoch[029] Batch [0099]/[3759] Speed: 164.735296 samples/sec accuracy=28.203125 loss=3.303326 lr=0.085534 Epoch[029] Batch [0149]/[3759] Speed: 164.817684 samples/sec accuracy=28.010417 loss=3.324729 lr=0.085573 Epoch[029] Batch [0199]/[3759] Speed: 163.330277 samples/sec accuracy=28.070312 loss=3.326601 lr=0.085611 Epoch[029] Batch [0249]/[3759] Speed: 165.253313 samples/sec accuracy=28.193750 loss=3.327385 lr=0.085650 Epoch[029] Batch [0299]/[3759] Speed: 163.234564 samples/sec accuracy=28.390625 loss=3.315840 lr=0.085689 Epoch[029] Batch [0349]/[3759] Speed: 164.419053 samples/sec accuracy=28.214286 loss=3.316047 lr=0.085728 Epoch[029] Batch [0399]/[3759] Speed: 165.289493 samples/sec accuracy=28.121094 loss=3.319014 lr=0.085766 Epoch[029] Batch [0449]/[3759] Speed: 163.194594 samples/sec accuracy=28.232639 loss=3.319621 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accuracy=28.167411 loss=3.322840 lr=0.086541 Epoch[029] Batch [1449]/[3759] Speed: 164.335464 samples/sec accuracy=28.190733 loss=3.324802 lr=0.086580 Epoch[029] Batch [1499]/[3759] Speed: 163.452801 samples/sec accuracy=28.213542 loss=3.323500 lr=0.086618 Epoch[029] Batch [1549]/[3759] Speed: 164.144475 samples/sec accuracy=28.161290 loss=3.326129 lr=0.086657 Epoch[029] Batch [1599]/[3759] Speed: 163.417578 samples/sec accuracy=28.187500 loss=3.324061 lr=0.086696 Epoch[029] Batch [1649]/[3759] Speed: 161.983222 samples/sec accuracy=28.152462 loss=3.326350 lr=0.086735 Epoch[029] Batch [1699]/[3759] Speed: 165.724745 samples/sec accuracy=28.153493 loss=3.325936 lr=0.086773 Epoch[029] Batch [1749]/[3759] Speed: 163.990109 samples/sec accuracy=28.149107 loss=3.327117 lr=0.086812 Epoch[029] Batch [1799]/[3759] Speed: 162.579865 samples/sec accuracy=28.149306 loss=3.327682 lr=0.086851 Epoch[029] Batch [1849]/[3759] Speed: 163.717867 samples/sec accuracy=28.151182 loss=3.328114 lr=0.086890 Epoch[029] Batch [1899]/[3759] Speed: 164.447367 samples/sec accuracy=28.153783 loss=3.329205 lr=0.086928 Epoch[029] Batch [1949]/[3759] Speed: 162.859966 samples/sec accuracy=28.173077 loss=3.328549 lr=0.086967 Epoch[029] Batch [1999]/[3759] Speed: 164.189598 samples/sec accuracy=28.173437 loss=3.328955 lr=0.087006 Epoch[029] Batch [2049]/[3759] Speed: 164.226150 samples/sec accuracy=28.150915 loss=3.329062 lr=0.087045 Epoch[029] Batch [2099]/[3759] Speed: 164.130143 samples/sec accuracy=28.154762 loss=3.329829 lr=0.087083 Epoch[029] Batch [2149]/[3759] Speed: 162.729192 samples/sec accuracy=28.151890 loss=3.330448 lr=0.087122 Epoch[029] Batch [2199]/[3759] Speed: 163.267144 samples/sec accuracy=28.144176 loss=3.330746 lr=0.087161 Epoch[029] Batch [2249]/[3759] Speed: 163.699111 samples/sec accuracy=28.138889 loss=3.330780 lr=0.087199 Epoch[029] Batch [2299]/[3759] Speed: 161.703650 samples/sec accuracy=28.148098 loss=3.330921 lr=0.087238 Epoch[029] Batch [2349]/[3759] Speed: 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loss=3.334351 lr=0.087625 Epoch[029] Batch [2849]/[3759] Speed: 163.071195 samples/sec accuracy=28.105811 loss=3.333648 lr=0.087664 Epoch[029] Batch [2899]/[3759] Speed: 165.680964 samples/sec accuracy=28.113147 loss=3.333543 lr=0.087703 Epoch[029] Batch [2949]/[3759] Speed: 164.833844 samples/sec accuracy=28.115466 loss=3.333680 lr=0.087742 Epoch[029] Batch [2999]/[3759] Speed: 163.005502 samples/sec accuracy=28.130208 loss=3.333148 lr=0.087780 Epoch[029] Batch [3049]/[3759] Speed: 163.151041 samples/sec accuracy=28.120389 loss=3.333846 lr=0.087819 Epoch[029] Batch [3099]/[3759] Speed: 164.681864 samples/sec accuracy=28.118448 loss=3.332838 lr=0.087858 Epoch[029] Batch [3149]/[3759] Speed: 163.253193 samples/sec accuracy=28.112599 loss=3.333288 lr=0.087897 Epoch[029] Batch [3199]/[3759] Speed: 163.433499 samples/sec accuracy=28.106445 loss=3.334047 lr=0.087935 Epoch[029] Batch [3249]/[3759] Speed: 163.484885 samples/sec accuracy=28.106250 loss=3.334380 lr=0.087974 Epoch[029] Batch 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accuracy=28.116250 loss=3.335156 lr=0.088361 Batch [0049]/[0303]: acc-top1=29.406250 acc-top5=54.687500 Batch [0099]/[0303]: acc-top1=26.093750 acc-top5=51.453125 Batch [0149]/[0303]: acc-top1=27.625000 acc-top5=53.000000 Batch [0199]/[0303]: acc-top1=30.289063 acc-top5=55.851562 Batch [0249]/[0303]: acc-top1=29.068750 acc-top5=55.043750 Batch [0299]/[0303]: acc-top1=28.213542 acc-top5=54.567708 [Epoch 029] training: accuracy=28.111283 loss=3.335331 [Epoch 029] speed: 163 samples/sec time cost: 1590.969560 [Epoch 029] validation: acc-top1=28.290017 acc-top5=54.656559 loss=3.447798 Epoch[030] Batch [0049]/[3760] Speed: 116.458957 samples/sec accuracy=27.812500 loss=3.345224 lr=0.088407 Epoch[030] Batch [0099]/[3760] Speed: 162.648845 samples/sec accuracy=27.765625 loss=3.349608 lr=0.088446 Epoch[030] Batch [0149]/[3760] Speed: 164.578974 samples/sec accuracy=27.895833 loss=3.340012 lr=0.088485 Epoch[030] Batch [0199]/[3760] Speed: 162.152359 samples/sec accuracy=28.148438 loss=3.332851 lr=0.088523 Epoch[030] Batch [0249]/[3760] Speed: 164.897421 samples/sec accuracy=28.200000 loss=3.337515 lr=0.088562 Epoch[030] Batch [0299]/[3760] Speed: 165.132870 samples/sec accuracy=28.213542 loss=3.328780 lr=0.088601 Epoch[030] Batch [0349]/[3760] Speed: 164.735371 samples/sec accuracy=28.178571 loss=3.335804 lr=0.088639 Epoch[030] Batch [0399]/[3760] Speed: 162.877069 samples/sec accuracy=28.187500 loss=3.334165 lr=0.088678 Epoch[030] Batch [0449]/[3760] Speed: 163.089105 samples/sec accuracy=28.236111 loss=3.333435 lr=0.088717 Epoch[030] Batch [0499]/[3760] Speed: 164.331251 samples/sec accuracy=28.218750 loss=3.334257 lr=0.088756 Epoch[030] Batch [0549]/[3760] Speed: 163.256682 samples/sec accuracy=28.170455 loss=3.333839 lr=0.088794 Epoch[030] Batch [0599]/[3760] Speed: 163.556151 samples/sec accuracy=28.166667 loss=3.333235 lr=0.088833 Epoch[030] Batch [0649]/[3760] Speed: 163.906809 samples/sec accuracy=28.189904 loss=3.331835 lr=0.088872 Epoch[030] Batch [0699]/[3760] 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accuracy=28.116848 loss=3.335482 lr=0.089259 Epoch[030] Batch [1199]/[3760] Speed: 161.242265 samples/sec accuracy=28.087240 loss=3.337750 lr=0.089298 Epoch[030] Batch [1249]/[3760] Speed: 164.899455 samples/sec accuracy=28.080000 loss=3.337857 lr=0.089337 Epoch[030] Batch [1299]/[3760] Speed: 163.230520 samples/sec accuracy=28.123798 loss=3.337640 lr=0.089375 Epoch[030] Batch [1349]/[3760] Speed: 162.542558 samples/sec accuracy=28.123843 loss=3.338131 lr=0.089414 Epoch[030] Batch [1399]/[3760] Speed: 164.539780 samples/sec accuracy=28.147321 loss=3.337922 lr=0.089453 Epoch[030] Batch [1449]/[3760] Speed: 162.647192 samples/sec accuracy=28.144397 loss=3.338365 lr=0.089492 Epoch[030] Batch [1499]/[3760] Speed: 163.489900 samples/sec accuracy=28.139583 loss=3.339219 lr=0.089530 Epoch[030] Batch [1549]/[3760] Speed: 162.424164 samples/sec accuracy=28.145161 loss=3.340020 lr=0.089569 Epoch[030] Batch [1599]/[3760] Speed: 165.390141 samples/sec accuracy=28.179688 loss=3.339745 lr=0.089608 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loss=3.339182 lr=0.090344 Epoch[030] Batch [2599]/[3760] Speed: 162.892043 samples/sec accuracy=28.064904 loss=3.339445 lr=0.090382 Epoch[030] Batch [2649]/[3760] Speed: 164.878088 samples/sec accuracy=28.066038 loss=3.338750 lr=0.090421 Epoch[030] Batch [2699]/[3760] Speed: 163.105787 samples/sec accuracy=28.059606 loss=3.340475 lr=0.090460 Epoch[030] Batch [2749]/[3760] Speed: 165.192780 samples/sec accuracy=28.069886 loss=3.339796 lr=0.090499 Epoch[030] Batch [2799]/[3760] Speed: 162.937944 samples/sec accuracy=28.058594 loss=3.340680 lr=0.090537 Epoch[030] Batch [2849]/[3760] Speed: 164.283946 samples/sec accuracy=28.039474 loss=3.341260 lr=0.090576 Epoch[030] Batch [2899]/[3760] Speed: 164.082659 samples/sec accuracy=28.029634 loss=3.341864 lr=0.090615 Epoch[030] Batch [2949]/[3760] Speed: 163.856702 samples/sec accuracy=28.053496 loss=3.341742 lr=0.090653 Epoch[030] Batch [2999]/[3760] Speed: 162.922483 samples/sec accuracy=28.047396 loss=3.341390 lr=0.090692 Epoch[030] Batch 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accuracy=27.952679 loss=3.342995 lr=0.091080 Epoch[030] Batch [3549]/[3760] Speed: 163.677046 samples/sec accuracy=27.947183 loss=3.342915 lr=0.091118 Epoch[030] Batch [3599]/[3760] Speed: 164.863093 samples/sec accuracy=27.961806 loss=3.342868 lr=0.091157 Epoch[030] Batch [3649]/[3760] Speed: 163.676246 samples/sec accuracy=27.955479 loss=3.343900 lr=0.091196 Epoch[030] Batch [3699]/[3760] Speed: 164.214791 samples/sec accuracy=27.953970 loss=3.343585 lr=0.091234 Epoch[030] Batch [3749]/[3760] Speed: 176.874201 samples/sec accuracy=27.927917 loss=3.344461 lr=0.091273 Batch [0049]/[0303]: acc-top1=25.375000 acc-top5=50.906250 Batch [0099]/[0303]: acc-top1=23.281250 acc-top5=49.375000 Batch [0149]/[0303]: acc-top1=25.729167 acc-top5=51.395833 Batch [0199]/[0303]: acc-top1=28.390625 acc-top5=54.039062 Batch [0249]/[0303]: acc-top1=27.450000 acc-top5=53.681250 Batch [0299]/[0303]: acc-top1=26.755208 acc-top5=53.348958 [Epoch 030] training: accuracy=27.933012 loss=3.344342 [Epoch 030] speed: 163 samples/sec time cost: 1592.470315 [Epoch 030] validation: acc-top1=26.825495 acc-top5=53.439563 loss=3.702782 Epoch[031] Batch [0049]/[3760] Speed: 114.255946 samples/sec accuracy=29.750000 loss=3.268041 lr=0.091320 Epoch[031] Batch [0099]/[3760] Speed: 164.855078 samples/sec accuracy=29.296875 loss=3.287780 lr=0.091358 Epoch[031] Batch [0149]/[3760] Speed: 164.282560 samples/sec accuracy=28.979167 loss=3.271926 lr=0.091397 Epoch[031] Batch [0199]/[3760] Speed: 162.851378 samples/sec accuracy=28.546875 loss=3.294361 lr=0.091436 Epoch[031] Batch [0249]/[3760] Speed: 165.296734 samples/sec accuracy=28.418750 loss=3.300688 lr=0.091475 Epoch[031] Batch [0299]/[3760] Speed: 164.658806 samples/sec accuracy=28.453125 loss=3.305278 lr=0.091513 Epoch[031] Batch [0349]/[3760] Speed: 161.971327 samples/sec accuracy=28.629464 loss=3.296220 lr=0.091552 Epoch[031] Batch [0399]/[3760] Speed: 164.840952 samples/sec accuracy=28.484375 loss=3.300973 lr=0.091591 Epoch[031] Batch [0449]/[3760] 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accuracy=28.291667 loss=3.320453 lr=0.091978 Epoch[031] Batch [0949]/[3760] Speed: 162.295116 samples/sec accuracy=28.358553 loss=3.317971 lr=0.092017 Epoch[031] Batch [0999]/[3760] Speed: 163.867607 samples/sec accuracy=28.335938 loss=3.320003 lr=0.092056 Epoch[031] Batch [1049]/[3760] Speed: 162.218937 samples/sec accuracy=28.293155 loss=3.324572 lr=0.092094 Epoch[031] Batch [1099]/[3760] Speed: 164.068566 samples/sec accuracy=28.276989 loss=3.325584 lr=0.092133 Epoch[031] Batch [1149]/[3760] Speed: 163.839692 samples/sec accuracy=28.289402 loss=3.325600 lr=0.092172 Epoch[031] Batch [1199]/[3760] Speed: 163.463420 samples/sec accuracy=28.274740 loss=3.325783 lr=0.092210 Epoch[031] Batch [1249]/[3760] Speed: 163.696059 samples/sec accuracy=28.283750 loss=3.325976 lr=0.092249 Epoch[031] Batch [1299]/[3760] Speed: 164.767270 samples/sec accuracy=28.242788 loss=3.326695 lr=0.092288 Epoch[031] Batch [1349]/[3760] Speed: 163.674172 samples/sec accuracy=28.218750 loss=3.327717 lr=0.092327 Epoch[031] Batch [1399]/[3760] Speed: 163.279856 samples/sec accuracy=28.177455 loss=3.327882 lr=0.092365 Epoch[031] Batch [1449]/[3760] Speed: 165.135219 samples/sec accuracy=28.192888 loss=3.327848 lr=0.092404 Epoch[031] Batch [1499]/[3760] Speed: 163.793713 samples/sec accuracy=28.153125 loss=3.330015 lr=0.092443 Epoch[031] Batch [1549]/[3760] Speed: 163.638586 samples/sec accuracy=28.150202 loss=3.331742 lr=0.092482 Epoch[031] Batch [1599]/[3760] Speed: 163.163231 samples/sec accuracy=28.121094 loss=3.333260 lr=0.092520 Epoch[031] Batch [1649]/[3760] Speed: 164.438049 samples/sec accuracy=28.090909 loss=3.334759 lr=0.092559 Epoch[031] Batch [1699]/[3760] Speed: 164.863964 samples/sec accuracy=28.062500 loss=3.336507 lr=0.092598 Epoch[031] Batch [1749]/[3760] Speed: 163.762908 samples/sec accuracy=28.025893 loss=3.336768 lr=0.092636 Epoch[031] Batch [1799]/[3760] Speed: 162.894150 samples/sec accuracy=28.012153 loss=3.337522 lr=0.092675 Epoch[031] Batch [1849]/[3760] Speed: 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loss=3.337709 lr=0.093063 Epoch[031] Batch [2349]/[3760] Speed: 164.888987 samples/sec accuracy=27.911569 loss=3.338731 lr=0.093101 Epoch[031] Batch [2399]/[3760] Speed: 162.149777 samples/sec accuracy=27.934245 loss=3.339062 lr=0.093140 Epoch[031] Batch [2449]/[3760] Speed: 165.396647 samples/sec accuracy=27.928571 loss=3.339648 lr=0.093179 Epoch[031] Batch [2499]/[3760] Speed: 163.034555 samples/sec accuracy=27.931875 loss=3.339333 lr=0.093217 Epoch[031] Batch [2549]/[3760] Speed: 165.112763 samples/sec accuracy=27.927696 loss=3.340258 lr=0.093256 Epoch[031] Batch [2599]/[3760] Speed: 162.771988 samples/sec accuracy=27.915865 loss=3.340577 lr=0.093295 Epoch[031] Batch [2649]/[3760] Speed: 162.676606 samples/sec accuracy=27.913325 loss=3.340160 lr=0.093334 Epoch[031] Batch [2699]/[3760] Speed: 164.297371 samples/sec accuracy=27.903935 loss=3.341238 lr=0.093372 Epoch[031] Batch [2749]/[3760] Speed: 163.378498 samples/sec accuracy=27.882955 loss=3.341521 lr=0.093411 Epoch[031] Batch 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accuracy=27.789423 loss=3.348104 lr=0.093798 Epoch[031] Batch [3299]/[3760] Speed: 164.554724 samples/sec accuracy=27.762784 loss=3.349069 lr=0.093837 Epoch[031] Batch [3349]/[3760] Speed: 165.700324 samples/sec accuracy=27.745802 loss=3.349495 lr=0.093876 Epoch[031] Batch [3399]/[3760] Speed: 164.290226 samples/sec accuracy=27.736673 loss=3.349924 lr=0.093915 Epoch[031] Batch [3449]/[3760] Speed: 163.565630 samples/sec accuracy=27.730978 loss=3.350837 lr=0.093953 Epoch[031] Batch [3499]/[3760] Speed: 164.209335 samples/sec accuracy=27.723214 loss=3.351458 lr=0.093992 Epoch[031] Batch [3549]/[3760] Speed: 162.277948 samples/sec accuracy=27.709067 loss=3.352429 lr=0.094031 Epoch[031] Batch [3599]/[3760] Speed: 164.575202 samples/sec accuracy=27.707899 loss=3.352975 lr=0.094070 Epoch[031] Batch [3649]/[3760] Speed: 163.727601 samples/sec accuracy=27.693065 loss=3.353371 lr=0.094108 Epoch[031] Batch [3699]/[3760] Speed: 163.290950 samples/sec accuracy=27.706081 loss=3.353574 lr=0.094147 Epoch[031] Batch [3749]/[3760] Speed: 175.779908 samples/sec accuracy=27.711250 loss=3.353453 lr=0.094186 Batch [0049]/[0303]: acc-top1=24.250000 acc-top5=51.531250 Batch [0099]/[0303]: acc-top1=22.531250 acc-top5=48.484375 Batch [0149]/[0303]: acc-top1=25.406250 acc-top5=51.333333 Batch [0199]/[0303]: acc-top1=27.976562 acc-top5=53.984375 Batch [0249]/[0303]: acc-top1=27.200000 acc-top5=53.568750 Batch [0299]/[0303]: acc-top1=26.760417 acc-top5=53.640625 [Epoch 031] training: accuracy=27.709857 loss=3.353743 [Epoch 031] speed: 163 samples/sec time cost: 1591.940767 [Epoch 031] validation: acc-top1=26.794554 acc-top5=53.702558 loss=3.866367 Epoch[032] Batch [0049]/[3759] Speed: 114.509310 samples/sec accuracy=26.093750 loss=3.330878 lr=0.094232 Epoch[032] Batch [0099]/[3759] Speed: 164.950938 samples/sec accuracy=27.062500 loss=3.317870 lr=0.094271 Epoch[032] Batch [0149]/[3759] Speed: 162.815303 samples/sec accuracy=26.979167 loss=3.337049 lr=0.094310 Epoch[032] Batch [0199]/[3759] 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accuracy=27.638021 loss=3.358239 lr=0.096517 Epoch[032] Batch [3049]/[3759] Speed: 162.883329 samples/sec accuracy=27.620902 loss=3.359185 lr=0.096556 Epoch[032] Batch [3099]/[3759] Speed: 161.936710 samples/sec accuracy=27.635081 loss=3.358915 lr=0.096595 Epoch[032] Batch [3149]/[3759] Speed: 164.836399 samples/sec accuracy=27.627480 loss=3.359397 lr=0.096634 Epoch[032] Batch [3199]/[3759] Speed: 163.995924 samples/sec accuracy=27.645508 loss=3.359781 lr=0.096672 Epoch[032] Batch [3249]/[3759] Speed: 164.673466 samples/sec accuracy=27.651923 loss=3.359381 lr=0.096711 Epoch[032] Batch [3299]/[3759] Speed: 163.534632 samples/sec accuracy=27.638258 loss=3.360839 lr=0.096750 Epoch[032] Batch [3349]/[3759] Speed: 163.632876 samples/sec accuracy=27.620802 loss=3.361281 lr=0.096788 Epoch[032] Batch [3399]/[3759] Speed: 162.197834 samples/sec accuracy=27.608456 loss=3.361703 lr=0.096827 Epoch[032] Batch [3449]/[3759] Speed: 162.154545 samples/sec accuracy=27.595109 loss=3.362896 lr=0.096866 Epoch[032] Batch [3499]/[3759] Speed: 164.502254 samples/sec accuracy=27.572321 loss=3.363170 lr=0.096905 Epoch[032] Batch [3549]/[3759] Speed: 161.903520 samples/sec accuracy=27.575704 loss=3.363765 lr=0.096943 Epoch[032] Batch [3599]/[3759] Speed: 164.736847 samples/sec accuracy=27.594618 loss=3.362687 lr=0.096982 Epoch[032] Batch [3649]/[3759] Speed: 163.496856 samples/sec accuracy=27.594178 loss=3.363082 lr=0.097021 Epoch[032] Batch [3699]/[3759] Speed: 164.649847 samples/sec accuracy=27.572213 loss=3.363774 lr=0.097060 Epoch[032] Batch [3749]/[3759] Speed: 175.965337 samples/sec accuracy=27.544583 loss=3.364956 lr=0.097098 Batch [0049]/[0303]: acc-top1=26.125000 acc-top5=50.875000 Batch [0099]/[0303]: acc-top1=23.781250 acc-top5=47.921875 Batch [0149]/[0303]: acc-top1=24.697917 acc-top5=48.531250 Batch [0199]/[0303]: acc-top1=26.742187 acc-top5=50.921875 Batch [0249]/[0303]: acc-top1=25.818750 acc-top5=50.350000 Batch [0299]/[0303]: acc-top1=25.484375 acc-top5=50.625000 [Epoch 032] training: accuracy=27.541401 loss=3.364980 [Epoch 032] speed: 162 samples/sec time cost: 1592.384849 [Epoch 032] validation: acc-top1=25.464109 acc-top5=50.593028 loss=3.978037 Epoch[033] Batch [0049]/[3760] Speed: 115.465992 samples/sec accuracy=27.531250 loss=3.373804 lr=0.097144 Epoch[033] Batch [0099]/[3760] Speed: 163.689431 samples/sec accuracy=27.625000 loss=3.368377 lr=0.097183 Epoch[033] Batch [0149]/[3760] Speed: 161.832520 samples/sec accuracy=27.927083 loss=3.351523 lr=0.097221 Epoch[033] Batch [0199]/[3760] Speed: 164.614696 samples/sec accuracy=27.914062 loss=3.348500 lr=0.097260 Epoch[033] Batch [0249]/[3760] Speed: 164.093363 samples/sec accuracy=27.968750 loss=3.355947 lr=0.097299 Epoch[033] Batch [0299]/[3760] Speed: 163.812415 samples/sec accuracy=28.067708 loss=3.351791 lr=0.097338 Epoch[033] Batch [0349]/[3760] Speed: 163.591302 samples/sec accuracy=27.781250 loss=3.363079 lr=0.097376 Epoch[033] Batch [0399]/[3760] Speed: 164.355288 samples/sec accuracy=27.707031 loss=3.366804 lr=0.097415 Epoch[033] Batch [0449]/[3760] Speed: 160.767307 samples/sec accuracy=27.704861 loss=3.368121 lr=0.097454 Epoch[033] Batch [0499]/[3760] Speed: 164.405346 samples/sec accuracy=27.721875 loss=3.365737 lr=0.097493 Epoch[033] Batch [0549]/[3760] Speed: 163.521512 samples/sec accuracy=27.687500 loss=3.367424 lr=0.097531 Epoch[033] Batch [0599]/[3760] Speed: 162.261684 samples/sec accuracy=27.674479 loss=3.365065 lr=0.097570 Epoch[033] Batch [0649]/[3760] Speed: 163.283685 samples/sec accuracy=27.653846 loss=3.365484 lr=0.097609 Epoch[033] Batch [0699]/[3760] Speed: 165.073252 samples/sec accuracy=27.680804 loss=3.359993 lr=0.097647 Epoch[033] Batch [0749]/[3760] Speed: 162.579064 samples/sec accuracy=27.662500 loss=3.358615 lr=0.097686 Epoch[033] Batch [0799]/[3760] Speed: 164.022932 samples/sec accuracy=27.623047 loss=3.364164 lr=0.097725 Epoch[033] Batch [0849]/[3760] Speed: 163.476757 samples/sec accuracy=27.591912 loss=3.363997 lr=0.097764 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accuracy=27.521591 loss=3.368303 lr=0.099235 Epoch[033] Batch [2799]/[3760] Speed: 164.649565 samples/sec accuracy=27.521763 loss=3.368809 lr=0.099274 Epoch[033] Batch [2849]/[3760] Speed: 162.380927 samples/sec accuracy=27.518640 loss=3.369712 lr=0.099313 Epoch[033] Batch [2899]/[3760] Speed: 163.917615 samples/sec accuracy=27.519397 loss=3.370582 lr=0.099352 Epoch[033] Batch [2949]/[3760] Speed: 162.750263 samples/sec accuracy=27.523835 loss=3.371227 lr=0.099390 Epoch[033] Batch [2999]/[3760] Speed: 163.014249 samples/sec accuracy=27.516667 loss=3.371587 lr=0.099429 Epoch[033] Batch [3049]/[3760] Speed: 163.241516 samples/sec accuracy=27.514857 loss=3.371019 lr=0.099468 Epoch[033] Batch [3099]/[3760] Speed: 163.297492 samples/sec accuracy=27.478327 loss=3.372467 lr=0.099507 Epoch[033] Batch [3149]/[3760] Speed: 163.994069 samples/sec accuracy=27.470238 loss=3.372864 lr=0.099545 Epoch[033] Batch [3199]/[3760] Speed: 163.602734 samples/sec accuracy=27.446289 loss=3.373866 lr=0.099584 Epoch[033] Batch [3249]/[3760] Speed: 163.241447 samples/sec accuracy=27.440865 loss=3.374555 lr=0.099623 Epoch[033] Batch [3299]/[3760] Speed: 164.875664 samples/sec accuracy=27.448390 loss=3.374105 lr=0.099661 Epoch[033] Batch [3349]/[3760] Speed: 163.696386 samples/sec accuracy=27.464086 loss=3.373236 lr=0.099700 Epoch[033] Batch [3399]/[3760] Speed: 164.770996 samples/sec accuracy=27.453125 loss=3.373600 lr=0.099739 Epoch[033] Batch [3449]/[3760] Speed: 162.335770 samples/sec accuracy=27.443388 loss=3.373931 lr=0.099778 Epoch[033] Batch [3499]/[3760] Speed: 163.847834 samples/sec accuracy=27.421429 loss=3.374850 lr=0.099816 Epoch[033] Batch [3549]/[3760] Speed: 164.339557 samples/sec accuracy=27.432218 loss=3.374893 lr=0.099855 Epoch[033] Batch [3599]/[3760] Speed: 162.990876 samples/sec accuracy=27.438802 loss=3.375032 lr=0.099894 Epoch[033] Batch [3649]/[3760] Speed: 164.663387 samples/sec accuracy=27.434503 loss=3.375343 lr=0.099933 Epoch[033] Batch [3699]/[3760] Speed: 164.300016 samples/sec accuracy=27.437922 loss=3.375730 lr=0.099971 Epoch[033] Batch [3749]/[3760] Speed: 175.564071 samples/sec accuracy=27.432083 loss=3.376040 lr=0.100000 Batch [0049]/[0303]: acc-top1=25.750000 acc-top5=52.593750 Batch [0099]/[0303]: acc-top1=24.937500 acc-top5=51.484375 Batch [0149]/[0303]: acc-top1=26.947917 acc-top5=52.875000 Batch [0199]/[0303]: acc-top1=29.492188 acc-top5=55.890625 Batch [0249]/[0303]: acc-top1=28.550000 acc-top5=55.756250 Batch [0299]/[0303]: acc-top1=27.718750 acc-top5=55.130208 [Epoch 033] training: accuracy=27.426862 loss=3.376117 [Epoch 033] speed: 162 samples/sec time cost: 1593.578341 [Epoch 033] validation: acc-top1=27.717616 acc-top5=55.177393 loss=3.447728 Epoch[034] Batch [0049]/[3759] Speed: 114.665067 samples/sec accuracy=28.531250 loss=3.300768 lr=0.100000 Epoch[034] Batch [0099]/[3759] Speed: 164.898663 samples/sec accuracy=27.765625 loss=3.354346 lr=0.100000 Epoch[034] Batch [0149]/[3759] Speed: 163.279834 samples/sec 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Batch [0299]/[0303]: acc-top1=27.843750 acc-top5=54.140625 [Epoch 034] training: accuracy=27.346452 loss=3.378538 [Epoch 034] speed: 162 samples/sec time cost: 1592.906477 [Epoch 034] validation: acc-top1=27.743399 acc-top5=54.068688 loss=3.494425 Epoch[035] Batch [0049]/[3760] Speed: 115.918221 samples/sec accuracy=28.750000 loss=3.305948 lr=0.099990 Epoch[035] Batch [0099]/[3760] Speed: 164.098144 samples/sec accuracy=28.781250 loss=3.277106 lr=0.099990 Epoch[035] Batch [0149]/[3760] Speed: 163.661413 samples/sec accuracy=28.593750 loss=3.305843 lr=0.099990 Epoch[035] Batch [0199]/[3760] Speed: 164.383064 samples/sec accuracy=28.539062 loss=3.311360 lr=0.099989 Epoch[035] Batch [0249]/[3760] Speed: 162.833719 samples/sec accuracy=28.431250 loss=3.327539 lr=0.099989 Epoch[035] Batch [0299]/[3760] Speed: 162.974716 samples/sec accuracy=28.427083 loss=3.332988 lr=0.099989 Epoch[035] Batch [0349]/[3760] Speed: 164.490625 samples/sec accuracy=28.437500 loss=3.340415 lr=0.099989 Epoch[035] 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loss=3.369870 lr=0.099963 Epoch[035] Batch [3699]/[3760] Speed: 163.064690 samples/sec accuracy=27.590372 loss=3.369157 lr=0.099963 Epoch[035] Batch [3749]/[3760] Speed: 175.075674 samples/sec accuracy=27.578333 loss=3.369316 lr=0.099962 Batch [0049]/[0303]: acc-top1=29.843750 acc-top5=54.781250 Batch [0099]/[0303]: acc-top1=27.484375 acc-top5=52.734375 Batch [0149]/[0303]: acc-top1=29.968750 acc-top5=55.593750 Batch [0199]/[0303]: acc-top1=31.554688 acc-top5=56.757813 Batch [0249]/[0303]: acc-top1=30.543750 acc-top5=56.525000 Batch [0299]/[0303]: acc-top1=29.791667 acc-top5=56.046875 [Epoch 035] training: accuracy=27.576878 loss=3.369201 [Epoch 035] speed: 162 samples/sec time cost: 1593.521336 [Epoch 035] validation: acc-top1=29.785479 acc-top5=55.976691 loss=3.383740 Epoch[036] Batch [0049]/[3760] Speed: 113.775793 samples/sec accuracy=28.906250 loss=3.315756 lr=0.099962 Epoch[036] Batch [0099]/[3760] Speed: 163.054294 samples/sec accuracy=28.750000 loss=3.301902 lr=0.099961 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loss=3.360867 lr=0.099920 Epoch[036] Batch [3449]/[3760] Speed: 161.542692 samples/sec accuracy=27.685236 loss=3.360031 lr=0.099920 Epoch[036] Batch [3499]/[3760] Speed: 162.849712 samples/sec accuracy=27.691071 loss=3.359976 lr=0.099919 Epoch[036] Batch [3549]/[3760] Speed: 164.764410 samples/sec accuracy=27.698504 loss=3.359274 lr=0.099918 Epoch[036] Batch [3599]/[3760] Speed: 164.198171 samples/sec accuracy=27.691840 loss=3.359327 lr=0.099917 Epoch[036] Batch [3649]/[3760] Speed: 163.721240 samples/sec accuracy=27.683647 loss=3.359105 lr=0.099917 Epoch[036] Batch [3699]/[3760] Speed: 163.780731 samples/sec accuracy=27.671030 loss=3.359469 lr=0.099916 Epoch[036] Batch [3749]/[3760] Speed: 175.049084 samples/sec accuracy=27.644583 loss=3.360043 lr=0.099915 Batch [0049]/[0303]: acc-top1=31.000000 acc-top5=55.656250 Batch [0099]/[0303]: acc-top1=27.609375 acc-top5=52.781250 Batch [0149]/[0303]: acc-top1=28.281250 acc-top5=54.187500 Batch [0199]/[0303]: acc-top1=30.359375 acc-top5=55.828125 Batch [0249]/[0303]: acc-top1=29.800000 acc-top5=55.800000 Batch [0299]/[0303]: acc-top1=29.062500 acc-top5=55.604167 [Epoch 036] training: accuracy=27.654172 loss=3.359677 [Epoch 036] speed: 163 samples/sec time cost: 1592.697682 [Epoch 036] validation: acc-top1=28.991337 acc-top5=55.636345 loss=3.508396 Epoch[037] Batch [0049]/[3759] Speed: 115.987694 samples/sec accuracy=27.062500 loss=3.410578 lr=0.099914 Epoch[037] Batch [0099]/[3759] Speed: 163.399987 samples/sec accuracy=27.656250 loss=3.365553 lr=0.099914 Epoch[037] Batch [0149]/[3759] Speed: 164.699281 samples/sec accuracy=27.687500 loss=3.347752 lr=0.099913 Epoch[037] Batch [0199]/[3759] Speed: 162.889184 samples/sec accuracy=27.750000 loss=3.357595 lr=0.099912 Epoch[037] Batch [0249]/[3759] Speed: 164.972817 samples/sec accuracy=27.900000 loss=3.346273 lr=0.099911 Epoch[037] Batch [0299]/[3759] Speed: 163.755673 samples/sec accuracy=27.770833 loss=3.352083 lr=0.099910 Epoch[037] Batch [0349]/[3759] Speed: 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[3649]/[3759] Speed: 164.862374 samples/sec accuracy=27.836901 loss=3.352351 lr=0.099851 Epoch[037] Batch [3699]/[3759] Speed: 163.749098 samples/sec accuracy=27.835304 loss=3.353103 lr=0.099850 Epoch[037] Batch [3749]/[3759] Speed: 177.876207 samples/sec accuracy=27.841250 loss=3.353391 lr=0.099849 Batch [0049]/[0303]: acc-top1=24.218750 acc-top5=50.250000 Batch [0099]/[0303]: acc-top1=22.562500 acc-top5=48.109375 Batch [0149]/[0303]: acc-top1=24.979167 acc-top5=50.010417 Batch [0199]/[0303]: acc-top1=27.351562 acc-top5=52.140625 Batch [0249]/[0303]: acc-top1=26.575000 acc-top5=51.468750 Batch [0299]/[0303]: acc-top1=26.031250 acc-top5=51.791667 [Epoch 037] training: accuracy=27.840267 loss=3.353450 [Epoch 037] speed: 163 samples/sec time cost: 1591.980946 [Epoch 037] validation: acc-top1=26.139645 acc-top5=51.892533 loss=3.707766 Epoch[038] Batch [0049]/[3760] Speed: 114.960802 samples/sec accuracy=29.062500 loss=3.290787 lr=0.099848 Epoch[038] Batch [0099]/[3760] Speed: 165.081133 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Speed: 163.894258 samples/sec accuracy=27.738095 loss=3.349625 lr=0.099827 Epoch[038] Batch [1099]/[3760] Speed: 165.537129 samples/sec accuracy=27.788352 loss=3.348748 lr=0.099826 Epoch[038] Batch [1149]/[3760] Speed: 160.282138 samples/sec accuracy=27.739130 loss=3.350179 lr=0.099825 Epoch[038] Batch [1199]/[3760] Speed: 164.547409 samples/sec accuracy=27.790365 loss=3.348810 lr=0.099824 Epoch[038] Batch [1249]/[3760] Speed: 164.875558 samples/sec accuracy=27.805000 loss=3.348038 lr=0.099823 Epoch[038] Batch [1299]/[3760] Speed: 163.628238 samples/sec accuracy=27.811298 loss=3.348746 lr=0.099822 Epoch[038] Batch [1349]/[3760] Speed: 163.992514 samples/sec accuracy=27.768519 loss=3.351251 lr=0.099821 Epoch[038] Batch [1399]/[3760] Speed: 162.447363 samples/sec accuracy=27.820312 loss=3.349787 lr=0.099820 Epoch[038] Batch [1449]/[3760] Speed: 163.663468 samples/sec accuracy=27.844828 loss=3.349935 lr=0.099819 Epoch[038] Batch [1499]/[3760] Speed: 164.489823 samples/sec accuracy=27.895833 loss=3.347829 lr=0.099818 Epoch[038] Batch [1549]/[3760] Speed: 162.964796 samples/sec accuracy=27.884073 loss=3.347989 lr=0.099817 Epoch[038] Batch [1599]/[3760] Speed: 164.387763 samples/sec accuracy=27.862305 loss=3.348477 lr=0.099815 Epoch[038] Batch [1649]/[3760] Speed: 163.558648 samples/sec accuracy=27.896780 loss=3.347626 lr=0.099814 Epoch[038] Batch [1699]/[3760] Speed: 163.070727 samples/sec accuracy=27.919118 loss=3.346992 lr=0.099813 Epoch[038] Batch [1749]/[3760] Speed: 164.244301 samples/sec accuracy=27.902679 loss=3.348858 lr=0.099812 Epoch[038] Batch [1799]/[3760] Speed: 163.614030 samples/sec accuracy=27.894965 loss=3.347392 lr=0.099811 Epoch[038] Batch [1849]/[3760] Speed: 165.298071 samples/sec accuracy=27.903716 loss=3.348045 lr=0.099810 Epoch[038] Batch [1899]/[3760] Speed: 163.898431 samples/sec accuracy=27.906250 loss=3.347653 lr=0.099809 Epoch[038] Batch [1949]/[3760] Speed: 163.393655 samples/sec accuracy=27.903045 loss=3.348405 lr=0.099808 Epoch[038] Batch [1999]/[3760] Speed: 162.411666 samples/sec accuracy=27.929688 loss=3.347535 lr=0.099806 Epoch[038] Batch [2049]/[3760] Speed: 164.859355 samples/sec accuracy=27.926829 loss=3.348370 lr=0.099805 Epoch[038] Batch [2099]/[3760] Speed: 165.063399 samples/sec accuracy=27.865327 loss=3.351135 lr=0.099804 Epoch[038] Batch [2149]/[3760] Speed: 163.780971 samples/sec accuracy=27.857558 loss=3.352605 lr=0.099803 Epoch[038] Batch [2199]/[3760] Speed: 163.933183 samples/sec accuracy=27.851562 loss=3.353689 lr=0.099802 Epoch[038] Batch [2249]/[3760] Speed: 163.176200 samples/sec accuracy=27.822917 loss=3.355393 lr=0.099801 Epoch[038] Batch [2299]/[3760] Speed: 162.535002 samples/sec accuracy=27.850543 loss=3.354240 lr=0.099800 Epoch[038] Batch [2349]/[3760] Speed: 163.992522 samples/sec accuracy=27.851064 loss=3.353179 lr=0.099798 Epoch[038] Batch [2399]/[3760] Speed: 163.886417 samples/sec accuracy=27.855469 loss=3.354160 lr=0.099797 Epoch[038] Batch [2449]/[3760] Speed: 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loss=3.357475 lr=0.099786 Epoch[038] Batch [2949]/[3760] Speed: 163.773187 samples/sec accuracy=27.790784 loss=3.357811 lr=0.099784 Epoch[038] Batch [2999]/[3760] Speed: 164.121326 samples/sec accuracy=27.777083 loss=3.358907 lr=0.099783 Epoch[038] Batch [3049]/[3760] Speed: 164.585432 samples/sec accuracy=27.775615 loss=3.359678 lr=0.099782 Epoch[038] Batch [3099]/[3760] Speed: 163.170114 samples/sec accuracy=27.787802 loss=3.358720 lr=0.099781 Epoch[038] Batch [3149]/[3760] Speed: 163.734262 samples/sec accuracy=27.819444 loss=3.358306 lr=0.099780 Epoch[038] Batch [3199]/[3760] Speed: 163.667957 samples/sec accuracy=27.827148 loss=3.358699 lr=0.099778 Epoch[038] Batch [3249]/[3760] Speed: 163.870910 samples/sec accuracy=27.849038 loss=3.358206 lr=0.099777 Epoch[038] Batch [3299]/[3760] Speed: 163.169721 samples/sec accuracy=27.858428 loss=3.357680 lr=0.099776 Epoch[038] Batch [3349]/[3760] Speed: 163.889963 samples/sec accuracy=27.847481 loss=3.358645 lr=0.099775 Epoch[038] Batch [3399]/[3760] Speed: 165.186787 samples/sec accuracy=27.828585 loss=3.359348 lr=0.099773 Epoch[038] Batch [3449]/[3760] Speed: 164.622881 samples/sec accuracy=27.823822 loss=3.359012 lr=0.099772 Epoch[038] Batch [3499]/[3760] Speed: 162.080896 samples/sec accuracy=27.817411 loss=3.358817 lr=0.099771 Epoch[038] Batch [3549]/[3760] Speed: 163.348137 samples/sec accuracy=27.812060 loss=3.358816 lr=0.099770 Epoch[038] Batch [3599]/[3760] Speed: 164.753515 samples/sec accuracy=27.825955 loss=3.359197 lr=0.099768 Epoch[038] Batch [3649]/[3760] Speed: 163.311780 samples/sec accuracy=27.825771 loss=3.358421 lr=0.099767 Epoch[038] Batch [3699]/[3760] Speed: 163.382889 samples/sec accuracy=27.835304 loss=3.357565 lr=0.099766 Epoch[038] Batch [3749]/[3760] Speed: 178.345277 samples/sec accuracy=27.809167 loss=3.358901 lr=0.099765 Batch [0049]/[0303]: acc-top1=27.437500 acc-top5=51.625000 Batch [0099]/[0303]: acc-top1=26.000000 acc-top5=50.984375 Batch [0149]/[0303]: acc-top1=28.114583 acc-top5=53.135417 Batch [0199]/[0303]: acc-top1=30.015625 acc-top5=55.453125 Batch [0249]/[0303]: acc-top1=29.606250 acc-top5=55.518750 Batch [0299]/[0303]: acc-top1=28.500000 acc-top5=55.333333 [Epoch 038] training: accuracy=27.812916 loss=3.358649 [Epoch 038] speed: 163 samples/sec time cost: 1591.652426 [Epoch 038] validation: acc-top1=28.398309 acc-top5=55.259901 loss=3.611427 Epoch[039] Batch [0049]/[3760] Speed: 116.905094 samples/sec accuracy=29.281250 loss=3.256170 lr=0.099763 Epoch[039] Batch [0099]/[3760] Speed: 163.783144 samples/sec accuracy=27.781250 loss=3.321937 lr=0.099762 Epoch[039] Batch [0149]/[3760] Speed: 164.560273 samples/sec accuracy=27.802083 loss=3.345254 lr=0.099761 Epoch[039] Batch [0199]/[3760] Speed: 164.724677 samples/sec accuracy=28.250000 loss=3.329544 lr=0.099759 Epoch[039] Batch [0249]/[3760] Speed: 164.644739 samples/sec accuracy=28.237500 loss=3.320560 lr=0.099758 Epoch[039] Batch [0299]/[3760] Speed: 162.422872 samples/sec accuracy=28.395833 loss=3.313650 lr=0.099757 Epoch[039] Batch [0349]/[3760] Speed: 165.153602 samples/sec accuracy=28.330357 loss=3.312843 lr=0.099756 Epoch[039] Batch [0399]/[3760] Speed: 163.394801 samples/sec accuracy=28.265625 loss=3.315403 lr=0.099754 Epoch[039] Batch [0449]/[3760] Speed: 162.378314 samples/sec accuracy=28.277778 loss=3.318976 lr=0.099753 Epoch[039] Batch [0499]/[3760] Speed: 163.134311 samples/sec accuracy=28.184375 loss=3.322868 lr=0.099752 Epoch[039] Batch [0549]/[3760] Speed: 164.779794 samples/sec accuracy=28.295455 loss=3.315503 lr=0.099751 Epoch[039] Batch [0599]/[3760] Speed: 161.617180 samples/sec accuracy=28.177083 loss=3.325678 lr=0.099749 Epoch[039] Batch [0649]/[3760] Speed: 165.195940 samples/sec accuracy=28.050481 loss=3.330780 lr=0.099748 Epoch[039] Batch [0699]/[3760] Speed: 165.414597 samples/sec accuracy=28.033482 loss=3.334775 lr=0.099747 Epoch[039] Batch [0749]/[3760] Speed: 162.678030 samples/sec accuracy=28.029167 loss=3.335469 lr=0.099745 Epoch[039] Batch 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accuracy=28.136250 loss=3.331225 lr=0.099732 Epoch[039] Batch [1299]/[3760] Speed: 163.788190 samples/sec accuracy=28.100962 loss=3.332343 lr=0.099731 Epoch[039] Batch [1349]/[3760] Speed: 164.692859 samples/sec accuracy=28.075231 loss=3.332661 lr=0.099730 Epoch[039] Batch [1399]/[3760] Speed: 162.647127 samples/sec accuracy=28.080357 loss=3.332933 lr=0.099728 Epoch[039] Batch [1449]/[3760] Speed: 163.952717 samples/sec accuracy=28.016164 loss=3.335271 lr=0.099727 Epoch[039] Batch [1499]/[3760] Speed: 164.035808 samples/sec accuracy=28.066667 loss=3.333108 lr=0.099726 Epoch[039] Batch [1549]/[3760] Speed: 163.901367 samples/sec accuracy=28.053427 loss=3.334699 lr=0.099724 Epoch[039] Batch [1599]/[3760] Speed: 164.110161 samples/sec accuracy=28.038086 loss=3.335966 lr=0.099723 Epoch[039] Batch [1649]/[3760] Speed: 165.161331 samples/sec accuracy=28.088068 loss=3.332882 lr=0.099721 Epoch[039] Batch [1699]/[3760] Speed: 164.940736 samples/sec accuracy=28.070772 loss=3.333212 lr=0.099720 Epoch[039] Batch [1749]/[3760] Speed: 163.403464 samples/sec accuracy=28.085714 loss=3.333483 lr=0.099719 Epoch[039] Batch [1799]/[3760] Speed: 164.951281 samples/sec accuracy=28.100694 loss=3.334719 lr=0.099717 Epoch[039] Batch [1849]/[3760] Speed: 163.564402 samples/sec accuracy=28.077703 loss=3.336193 lr=0.099716 Epoch[039] Batch [1899]/[3760] Speed: 163.880566 samples/sec accuracy=28.051809 loss=3.336710 lr=0.099715 Epoch[039] Batch [1949]/[3760] Speed: 164.986554 samples/sec accuracy=28.042468 loss=3.338212 lr=0.099713 Epoch[039] Batch [1999]/[3760] Speed: 163.629768 samples/sec accuracy=28.032031 loss=3.339426 lr=0.099712 Epoch[039] Batch [2049]/[3760] Speed: 164.289623 samples/sec accuracy=28.034299 loss=3.340893 lr=0.099710 Epoch[039] Batch [2099]/[3760] Speed: 163.434811 samples/sec accuracy=28.073661 loss=3.340617 lr=0.099709 Epoch[039] Batch [2149]/[3760] Speed: 162.787013 samples/sec accuracy=28.074128 loss=3.340902 lr=0.099708 Epoch[039] Batch [2199]/[3760] Speed: 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loss=3.346416 lr=0.099694 Epoch[039] Batch [2699]/[3760] Speed: 163.048898 samples/sec accuracy=27.960648 loss=3.347177 lr=0.099692 Epoch[039] Batch [2749]/[3760] Speed: 162.810555 samples/sec accuracy=27.948864 loss=3.348014 lr=0.099691 Epoch[039] Batch [2799]/[3760] Speed: 164.519597 samples/sec accuracy=27.954799 loss=3.347594 lr=0.099689 Epoch[039] Batch [2849]/[3760] Speed: 163.977615 samples/sec accuracy=27.940241 loss=3.348188 lr=0.099688 Epoch[039] Batch [2899]/[3760] Speed: 162.267155 samples/sec accuracy=27.954203 loss=3.348128 lr=0.099686 Epoch[039] Batch [2949]/[3760] Speed: 163.595489 samples/sec accuracy=27.939619 loss=3.348567 lr=0.099685 Epoch[039] Batch [2999]/[3760] Speed: 165.291616 samples/sec accuracy=27.944271 loss=3.347538 lr=0.099684 Epoch[039] Batch [3049]/[3760] Speed: 163.969889 samples/sec accuracy=27.934426 loss=3.348092 lr=0.099682 Epoch[039] Batch [3099]/[3760] Speed: 165.506514 samples/sec accuracy=27.933972 loss=3.347455 lr=0.099681 Epoch[039] Batch 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accuracy=27.928819 loss=3.349689 lr=0.099666 Epoch[039] Batch [3649]/[3760] Speed: 163.561975 samples/sec accuracy=27.920377 loss=3.349943 lr=0.099664 Epoch[039] Batch [3699]/[3760] Speed: 162.613115 samples/sec accuracy=27.928209 loss=3.350007 lr=0.099663 Epoch[039] Batch [3749]/[3760] Speed: 177.645810 samples/sec accuracy=27.915833 loss=3.350298 lr=0.099661 Batch [0049]/[0303]: acc-top1=27.312500 acc-top5=52.687500 Batch [0099]/[0303]: acc-top1=25.671875 acc-top5=51.250000 Batch [0149]/[0303]: acc-top1=27.291667 acc-top5=53.135417 Batch [0199]/[0303]: acc-top1=29.914062 acc-top5=56.187500 Batch [0249]/[0303]: acc-top1=29.162500 acc-top5=55.962500 Batch [0299]/[0303]: acc-top1=28.718750 acc-top5=55.937500 [Epoch 039] training: accuracy=27.921376 loss=3.350161 [Epoch 039] speed: 163 samples/sec time cost: 1589.968022 [Epoch 039] validation: acc-top1=28.666460 acc-top5=55.868399 loss=3.492789 Epoch[040] Batch [0049]/[3759] Speed: 112.710661 samples/sec accuracy=28.125000 loss=3.339406 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accuracy=28.087500 loss=3.323332 lr=0.099630 Epoch[040] Batch [1049]/[3759] Speed: 162.296495 samples/sec accuracy=28.053571 loss=3.324300 lr=0.099629 Epoch[040] Batch [1099]/[3759] Speed: 163.273025 samples/sec accuracy=27.977273 loss=3.327996 lr=0.099627 Epoch[040] Batch [1149]/[3759] Speed: 163.562250 samples/sec accuracy=27.995924 loss=3.328838 lr=0.099626 Epoch[040] Batch [1199]/[3759] Speed: 162.904736 samples/sec accuracy=27.949219 loss=3.332254 lr=0.099624 Epoch[040] Batch [1249]/[3759] Speed: 163.303324 samples/sec accuracy=27.988750 loss=3.331714 lr=0.099623 Epoch[040] Batch [1299]/[3759] Speed: 163.466798 samples/sec accuracy=27.937500 loss=3.333887 lr=0.099621 Epoch[040] Batch [1349]/[3759] Speed: 163.246365 samples/sec accuracy=27.976852 loss=3.331965 lr=0.099619 Epoch[040] Batch [1399]/[3759] Speed: 163.697975 samples/sec accuracy=28.012277 loss=3.330870 lr=0.099618 Epoch[040] Batch [1449]/[3759] Speed: 164.056139 samples/sec accuracy=28.016164 loss=3.331123 lr=0.099616 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loss=3.336940 lr=0.099585 Epoch[040] Batch [2449]/[3759] Speed: 164.223554 samples/sec accuracy=28.058673 loss=3.336468 lr=0.099584 Epoch[040] Batch [2499]/[3759] Speed: 162.559253 samples/sec accuracy=28.050625 loss=3.337083 lr=0.099582 Epoch[040] Batch [2549]/[3759] Speed: 164.615267 samples/sec accuracy=28.060662 loss=3.336903 lr=0.099580 Epoch[040] Batch [2599]/[3759] Speed: 162.886541 samples/sec accuracy=28.058894 loss=3.336687 lr=0.099579 Epoch[040] Batch [2649]/[3759] Speed: 164.835045 samples/sec accuracy=28.074882 loss=3.335845 lr=0.099577 Epoch[040] Batch [2699]/[3759] Speed: 163.372456 samples/sec accuracy=28.077546 loss=3.336541 lr=0.099575 Epoch[040] Batch [2749]/[3759] Speed: 164.294401 samples/sec accuracy=28.077273 loss=3.336922 lr=0.099574 Epoch[040] Batch [2799]/[3759] Speed: 164.587180 samples/sec accuracy=28.074777 loss=3.337505 lr=0.099572 Epoch[040] Batch [2849]/[3759] Speed: 164.918744 samples/sec accuracy=28.074013 loss=3.336929 lr=0.099570 Epoch[040] Batch 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accuracy=28.026119 loss=3.340272 lr=0.099553 Epoch[040] Batch [3399]/[3759] Speed: 166.158950 samples/sec accuracy=28.037684 loss=3.340384 lr=0.099552 Epoch[040] Batch [3449]/[3759] Speed: 163.265964 samples/sec accuracy=28.029891 loss=3.340490 lr=0.099550 Epoch[040] Batch [3499]/[3759] Speed: 163.313515 samples/sec accuracy=28.003571 loss=3.341884 lr=0.099548 Epoch[040] Batch [3549]/[3759] Speed: 164.092462 samples/sec accuracy=27.994278 loss=3.342580 lr=0.099546 Epoch[040] Batch [3599]/[3759] Speed: 162.707731 samples/sec accuracy=27.995660 loss=3.342211 lr=0.099545 Epoch[040] Batch [3649]/[3759] Speed: 163.606230 samples/sec accuracy=27.988870 loss=3.343019 lr=0.099543 Epoch[040] Batch [3699]/[3759] Speed: 162.491664 samples/sec accuracy=28.011402 loss=3.342174 lr=0.099541 Epoch[040] Batch [3749]/[3759] Speed: 177.262977 samples/sec accuracy=28.014167 loss=3.342196 lr=0.099539 Batch [0049]/[0303]: acc-top1=29.343750 acc-top5=54.937500 Batch [0099]/[0303]: acc-top1=27.203125 acc-top5=53.171875 Batch [0149]/[0303]: acc-top1=27.614583 acc-top5=53.552083 Batch [0199]/[0303]: acc-top1=30.171875 acc-top5=56.023437 Batch [0249]/[0303]: acc-top1=29.856250 acc-top5=55.981250 Batch [0299]/[0303]: acc-top1=29.463542 acc-top5=55.895833 [Epoch 040] training: accuracy=28.021914 loss=3.341732 [Epoch 040] speed: 163 samples/sec time cost: 1592.077965 [Epoch 040] validation: acc-top1=29.393564 acc-top5=55.889026 loss=3.463622 Epoch[041] Batch [0049]/[3760] Speed: 113.087081 samples/sec accuracy=27.343750 loss=3.376984 lr=0.099537 Epoch[041] Batch [0099]/[3760] Speed: 164.200857 samples/sec accuracy=28.359375 loss=3.332429 lr=0.099536 Epoch[041] Batch [0149]/[3760] Speed: 164.120445 samples/sec accuracy=28.625000 loss=3.302902 lr=0.099534 Epoch[041] Batch [0199]/[3760] Speed: 164.832939 samples/sec accuracy=28.570312 loss=3.308787 lr=0.099532 Epoch[041] Batch [0249]/[3760] Speed: 164.536176 samples/sec accuracy=28.625000 loss=3.318349 lr=0.099530 Epoch[041] Batch 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accuracy=28.181250 loss=3.337910 lr=0.099513 Epoch[041] Batch [0799]/[3760] Speed: 163.958271 samples/sec accuracy=28.111328 loss=3.341051 lr=0.099511 Epoch[041] Batch [0849]/[3760] Speed: 164.392420 samples/sec accuracy=28.040441 loss=3.343964 lr=0.099509 Epoch[041] Batch [0899]/[3760] Speed: 165.204470 samples/sec accuracy=28.031250 loss=3.344462 lr=0.099507 Epoch[041] Batch [0949]/[3760] Speed: 163.700651 samples/sec accuracy=28.052632 loss=3.341089 lr=0.099505 Epoch[041] Batch [0999]/[3760] Speed: 162.857930 samples/sec accuracy=28.078125 loss=3.336714 lr=0.099504 Epoch[041] Batch [1049]/[3760] Speed: 162.529294 samples/sec accuracy=28.142857 loss=3.332049 lr=0.099502 Epoch[041] Batch [1099]/[3760] Speed: 163.948390 samples/sec accuracy=28.161932 loss=3.330161 lr=0.099500 Epoch[041] Batch [1149]/[3760] Speed: 162.692156 samples/sec accuracy=28.146739 loss=3.330398 lr=0.099498 Epoch[041] Batch [1199]/[3760] Speed: 164.683805 samples/sec accuracy=28.131510 loss=3.331091 lr=0.099496 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accuracy=28.160786 loss=3.335916 lr=0.099424 Epoch[041] Batch [3149]/[3760] Speed: 163.798714 samples/sec accuracy=28.161706 loss=3.335955 lr=0.099423 Epoch[041] Batch [3199]/[3760] Speed: 163.347286 samples/sec accuracy=28.145508 loss=3.337037 lr=0.099421 Epoch[041] Batch [3249]/[3760] Speed: 163.721480 samples/sec accuracy=28.119231 loss=3.337636 lr=0.099419 Epoch[041] Batch [3299]/[3760] Speed: 165.034940 samples/sec accuracy=28.097538 loss=3.338651 lr=0.099417 Epoch[041] Batch [3349]/[3760] Speed: 164.615637 samples/sec accuracy=28.118937 loss=3.337227 lr=0.099415 Epoch[041] Batch [3399]/[3760] Speed: 164.561122 samples/sec accuracy=28.107996 loss=3.338087 lr=0.099413 Epoch[041] Batch [3449]/[3760] Speed: 162.359891 samples/sec accuracy=28.092391 loss=3.338505 lr=0.099411 Epoch[041] Batch [3499]/[3760] Speed: 164.980983 samples/sec accuracy=28.097321 loss=3.339136 lr=0.099409 Epoch[041] Batch [3549]/[3760] Speed: 165.061719 samples/sec accuracy=28.112236 loss=3.338841 lr=0.099407 Epoch[041] Batch [3599]/[3760] Speed: 165.110935 samples/sec accuracy=28.092882 loss=3.339183 lr=0.099405 Epoch[041] Batch [3649]/[3760] Speed: 164.916416 samples/sec accuracy=28.083476 loss=3.339632 lr=0.099403 Epoch[041] Batch [3699]/[3760] Speed: 163.075555 samples/sec accuracy=28.101774 loss=3.339084 lr=0.099401 Epoch[041] Batch [3749]/[3760] Speed: 175.652231 samples/sec accuracy=28.109167 loss=3.337931 lr=0.099399 Batch [0049]/[0303]: acc-top1=24.687500 acc-top5=50.031250 Batch [0099]/[0303]: acc-top1=24.765625 acc-top5=49.015625 Batch [0149]/[0303]: acc-top1=26.635417 acc-top5=51.458333 Batch [0199]/[0303]: acc-top1=29.453125 acc-top5=53.734375 Batch [0249]/[0303]: acc-top1=28.431250 acc-top5=53.275000 Batch [0299]/[0303]: acc-top1=27.578125 acc-top5=53.187500 [Epoch 041] training: accuracy=28.115858 loss=3.337638 [Epoch 041] speed: 162 samples/sec time cost: 1593.426658 [Epoch 041] validation: acc-top1=27.531972 acc-top5=53.145627 loss=3.700650 Epoch[042] Batch [0049]/[3760] Speed: 117.038818 samples/sec accuracy=28.156250 loss=3.321793 lr=0.099396 Epoch[042] Batch [0099]/[3760] Speed: 163.314811 samples/sec accuracy=28.421875 loss=3.312191 lr=0.099394 Epoch[042] Batch [0149]/[3760] Speed: 163.164881 samples/sec accuracy=28.302083 loss=3.305627 lr=0.099392 Epoch[042] Batch [0199]/[3760] Speed: 165.528957 samples/sec accuracy=28.179688 loss=3.312808 lr=0.099390 Epoch[042] Batch [0249]/[3760] Speed: 163.998217 samples/sec accuracy=28.118750 loss=3.320215 lr=0.099388 Epoch[042] Batch [0299]/[3760] Speed: 164.566743 samples/sec accuracy=28.093750 loss=3.329612 lr=0.099386 Epoch[042] Batch [0349]/[3760] Speed: 163.476681 samples/sec accuracy=28.312500 loss=3.323398 lr=0.099384 Epoch[042] Batch [0399]/[3760] Speed: 163.952878 samples/sec accuracy=28.351562 loss=3.320875 lr=0.099382 Epoch[042] Batch [0449]/[3760] Speed: 163.563244 samples/sec accuracy=28.416667 loss=3.320381 lr=0.099380 Epoch[042] Batch [0499]/[3760] Speed: 162.555423 samples/sec accuracy=28.403125 loss=3.322214 lr=0.099378 Epoch[042] Batch [0549]/[3760] Speed: 163.579272 samples/sec accuracy=28.306818 loss=3.318511 lr=0.099376 Epoch[042] Batch [0599]/[3760] Speed: 164.954093 samples/sec accuracy=28.250000 loss=3.323074 lr=0.099374 Epoch[042] Batch [0649]/[3760] Speed: 163.131761 samples/sec accuracy=28.266827 loss=3.324880 lr=0.099372 Epoch[042] Batch [0699]/[3760] Speed: 164.636938 samples/sec accuracy=28.325893 loss=3.324431 lr=0.099370 Epoch[042] Batch [0749]/[3760] Speed: 162.485407 samples/sec accuracy=28.262500 loss=3.325263 lr=0.099368 Epoch[042] Batch [0799]/[3760] Speed: 162.347012 samples/sec accuracy=28.408203 loss=3.320163 lr=0.099366 Epoch[042] Batch [0849]/[3760] Speed: 163.567032 samples/sec accuracy=28.446691 loss=3.317386 lr=0.099364 Epoch[042] Batch [0899]/[3760] Speed: 164.277620 samples/sec accuracy=28.447917 loss=3.318300 lr=0.099362 Epoch[042] Batch [0949]/[3760] Speed: 163.682272 samples/sec accuracy=28.406250 loss=3.321132 lr=0.099360 Epoch[042] Batch [0999]/[3760] Speed: 165.359574 samples/sec accuracy=28.401563 loss=3.318848 lr=0.099358 Epoch[042] Batch [1049]/[3760] Speed: 162.853061 samples/sec accuracy=28.424107 loss=3.319933 lr=0.099356 Epoch[042] Batch [1099]/[3760] Speed: 162.537098 samples/sec accuracy=28.338068 loss=3.323557 lr=0.099354 Epoch[042] Batch [1149]/[3760] Speed: 163.473561 samples/sec accuracy=28.311141 loss=3.325747 lr=0.099352 Epoch[042] Batch [1199]/[3760] Speed: 164.304097 samples/sec accuracy=28.322917 loss=3.326148 lr=0.099350 Epoch[042] Batch [1249]/[3760] Speed: 164.202581 samples/sec accuracy=28.326250 loss=3.325816 lr=0.099348 Epoch[042] Batch [1299]/[3760] Speed: 164.396329 samples/sec accuracy=28.340144 loss=3.325096 lr=0.099345 Epoch[042] Batch [1349]/[3760] Speed: 162.523042 samples/sec accuracy=28.268519 loss=3.326738 lr=0.099343 Epoch[042] Batch [1399]/[3760] Speed: 164.560739 samples/sec accuracy=28.234375 loss=3.327758 lr=0.099341 Epoch[042] Batch [1449]/[3760] Speed: 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loss=3.335636 lr=0.099320 Epoch[042] Batch [1949]/[3760] Speed: 162.112970 samples/sec accuracy=28.085737 loss=3.335211 lr=0.099318 Epoch[042] Batch [1999]/[3760] Speed: 163.391034 samples/sec accuracy=28.064062 loss=3.335370 lr=0.099316 Epoch[042] Batch [2049]/[3760] Speed: 165.248363 samples/sec accuracy=28.030488 loss=3.338321 lr=0.099314 Epoch[042] Batch [2099]/[3760] Speed: 165.590499 samples/sec accuracy=28.011905 loss=3.338955 lr=0.099312 Epoch[042] Batch [2149]/[3760] Speed: 164.626853 samples/sec accuracy=27.986919 loss=3.338636 lr=0.099310 Epoch[042] Batch [2199]/[3760] Speed: 163.297729 samples/sec accuracy=27.973722 loss=3.338605 lr=0.099307 Epoch[042] Batch [2249]/[3760] Speed: 164.194710 samples/sec accuracy=27.963889 loss=3.338818 lr=0.099305 Epoch[042] Batch [2299]/[3760] Speed: 163.352141 samples/sec accuracy=27.947011 loss=3.339313 lr=0.099303 Epoch[042] Batch [2349]/[3760] Speed: 164.323470 samples/sec accuracy=27.959441 loss=3.337893 lr=0.099301 Epoch[042] Batch 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accuracy=27.935855 loss=3.338893 lr=0.099279 Epoch[042] Batch [2899]/[3760] Speed: 165.334711 samples/sec accuracy=27.946121 loss=3.338460 lr=0.099277 Epoch[042] Batch [2949]/[3760] Speed: 163.104269 samples/sec accuracy=27.942797 loss=3.339029 lr=0.099275 Epoch[042] Batch [2999]/[3760] Speed: 164.772760 samples/sec accuracy=27.943750 loss=3.338674 lr=0.099273 Epoch[042] Batch [3049]/[3760] Speed: 161.132982 samples/sec accuracy=27.946721 loss=3.338110 lr=0.099271 Epoch[042] Batch [3099]/[3760] Speed: 164.618031 samples/sec accuracy=27.959677 loss=3.338037 lr=0.099268 Epoch[042] Batch [3149]/[3760] Speed: 163.028588 samples/sec accuracy=27.963294 loss=3.337707 lr=0.099266 Epoch[042] Batch [3199]/[3760] Speed: 163.451790 samples/sec accuracy=27.990723 loss=3.336665 lr=0.099264 Epoch[042] Batch [3249]/[3760] Speed: 161.345041 samples/sec accuracy=27.998558 loss=3.336378 lr=0.099262 Epoch[042] Batch [3299]/[3760] Speed: 162.650645 samples/sec accuracy=28.035985 loss=3.334171 lr=0.099260 Epoch[042] Batch [3349]/[3760] Speed: 164.865341 samples/sec accuracy=28.038246 loss=3.333373 lr=0.099257 Epoch[042] Batch [3399]/[3760] Speed: 162.067568 samples/sec accuracy=28.050092 loss=3.333715 lr=0.099255 Epoch[042] Batch [3449]/[3760] Speed: 162.760877 samples/sec accuracy=28.045743 loss=3.334299 lr=0.099253 Epoch[042] Batch [3499]/[3760] Speed: 165.502235 samples/sec accuracy=28.054911 loss=3.333677 lr=0.099251 Epoch[042] Batch [3549]/[3760] Speed: 163.661357 samples/sec accuracy=28.069542 loss=3.333984 lr=0.099249 Epoch[042] Batch [3599]/[3760] Speed: 163.752059 samples/sec accuracy=28.073785 loss=3.333043 lr=0.099246 Epoch[042] Batch [3649]/[3760] Speed: 163.932332 samples/sec accuracy=28.056507 loss=3.333873 lr=0.099244 Epoch[042] Batch [3699]/[3760] Speed: 162.481896 samples/sec accuracy=28.070524 loss=3.334240 lr=0.099242 Epoch[042] Batch [3749]/[3760] Speed: 177.044538 samples/sec accuracy=28.055000 loss=3.334594 lr=0.099240 Batch [0049]/[0303]: acc-top1=30.750000 acc-top5=55.875000 Batch [0099]/[0303]: acc-top1=27.812500 acc-top5=53.218750 Batch [0149]/[0303]: acc-top1=28.427083 acc-top5=53.885417 Batch [0199]/[0303]: acc-top1=30.359375 acc-top5=56.265625 Batch [0249]/[0303]: acc-top1=29.743750 acc-top5=55.937500 Batch [0299]/[0303]: acc-top1=29.458333 acc-top5=56.119792 [Epoch 042] training: accuracy=28.051862 loss=3.334788 [Epoch 042] speed: 163 samples/sec time cost: 1591.833263 [Epoch 042] validation: acc-top1=29.403878 acc-top5=56.090140 loss=3.420294 Epoch[043] Batch [0049]/[3759] Speed: 113.902660 samples/sec accuracy=27.937500 loss=3.347208 lr=0.099237 Epoch[043] Batch [0099]/[3759] Speed: 162.912884 samples/sec accuracy=27.968750 loss=3.354644 lr=0.099235 Epoch[043] Batch [0149]/[3759] Speed: 163.498218 samples/sec accuracy=28.250000 loss=3.337697 lr=0.099232 Epoch[043] Batch [0199]/[3759] Speed: 164.880907 samples/sec accuracy=28.343750 loss=3.324640 lr=0.099230 Epoch[043] Batch [0249]/[3759] Speed: 163.100194 samples/sec accuracy=28.218750 loss=3.320999 lr=0.099228 Epoch[043] Batch [0299]/[3759] Speed: 163.340899 samples/sec accuracy=28.447917 loss=3.305050 lr=0.099226 Epoch[043] Batch [0349]/[3759] Speed: 164.276353 samples/sec accuracy=28.656250 loss=3.298998 lr=0.099223 Epoch[043] Batch [0399]/[3759] Speed: 164.091855 samples/sec accuracy=28.800781 loss=3.294337 lr=0.099221 Epoch[043] Batch [0449]/[3759] Speed: 161.479412 samples/sec accuracy=28.673611 loss=3.299444 lr=0.099219 Epoch[043] Batch [0499]/[3759] Speed: 165.530437 samples/sec accuracy=28.621875 loss=3.304910 lr=0.099217 Epoch[043] Batch [0549]/[3759] Speed: 163.956204 samples/sec accuracy=28.596591 loss=3.308017 lr=0.099214 Epoch[043] Batch [0599]/[3759] Speed: 162.687508 samples/sec accuracy=28.617188 loss=3.306649 lr=0.099212 Epoch[043] Batch [0649]/[3759] Speed: 162.575330 samples/sec accuracy=28.646635 loss=3.305974 lr=0.099210 Epoch[043] Batch [0699]/[3759] Speed: 164.835603 samples/sec accuracy=28.609375 loss=3.306318 lr=0.099207 Epoch[043] Batch [0749]/[3759] Speed: 162.485971 samples/sec accuracy=28.547917 loss=3.310116 lr=0.099205 Epoch[043] Batch [0799]/[3759] Speed: 164.846708 samples/sec accuracy=28.593750 loss=3.308415 lr=0.099203 Epoch[043] Batch [0849]/[3759] Speed: 165.555951 samples/sec accuracy=28.580882 loss=3.309101 lr=0.099201 Epoch[043] Batch [0899]/[3759] Speed: 163.062666 samples/sec accuracy=28.503472 loss=3.310955 lr=0.099198 Epoch[043] Batch [0949]/[3759] Speed: 163.336409 samples/sec accuracy=28.491776 loss=3.311116 lr=0.099196 Epoch[043] Batch [0999]/[3759] Speed: 163.774154 samples/sec accuracy=28.504687 loss=3.311632 lr=0.099194 Epoch[043] Batch [1049]/[3759] Speed: 164.912933 samples/sec accuracy=28.482143 loss=3.312085 lr=0.099191 Epoch[043] Batch [1099]/[3759] Speed: 164.434338 samples/sec accuracy=28.471591 loss=3.313936 lr=0.099189 Epoch[043] Batch [1149]/[3759] Speed: 163.047153 samples/sec accuracy=28.437500 loss=3.314859 lr=0.099187 Epoch[043] Batch [1199]/[3759] Speed: 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loss=3.317823 lr=0.099163 Epoch[043] Batch [1699]/[3759] Speed: 163.622140 samples/sec accuracy=28.404412 loss=3.318232 lr=0.099161 Epoch[043] Batch [1749]/[3759] Speed: 162.759866 samples/sec accuracy=28.437500 loss=3.316989 lr=0.099159 Epoch[043] Batch [1799]/[3759] Speed: 162.094923 samples/sec accuracy=28.414062 loss=3.317839 lr=0.099156 Epoch[043] Batch [1849]/[3759] Speed: 163.565949 samples/sec accuracy=28.426520 loss=3.317749 lr=0.099154 Epoch[043] Batch [1899]/[3759] Speed: 164.039575 samples/sec accuracy=28.440789 loss=3.316744 lr=0.099152 Epoch[043] Batch [1949]/[3759] Speed: 164.642245 samples/sec accuracy=28.422276 loss=3.318069 lr=0.099149 Epoch[043] Batch [1999]/[3759] Speed: 164.155241 samples/sec accuracy=28.389063 loss=3.319364 lr=0.099147 Epoch[043] Batch [2049]/[3759] Speed: 163.692972 samples/sec accuracy=28.356707 loss=3.320864 lr=0.099144 Epoch[043] Batch [2099]/[3759] Speed: 165.346722 samples/sec accuracy=28.361607 loss=3.321358 lr=0.099142 Epoch[043] Batch 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accuracy=28.220553 loss=3.327663 lr=0.099118 Epoch[043] Batch [2649]/[3759] Speed: 164.119512 samples/sec accuracy=28.223467 loss=3.327600 lr=0.099116 Epoch[043] Batch [2699]/[3759] Speed: 164.566786 samples/sec accuracy=28.197917 loss=3.329379 lr=0.099113 Epoch[043] Batch [2749]/[3759] Speed: 162.951981 samples/sec accuracy=28.188636 loss=3.329471 lr=0.099111 Epoch[043] Batch [2799]/[3759] Speed: 163.974757 samples/sec accuracy=28.208705 loss=3.328454 lr=0.099108 Epoch[043] Batch [2849]/[3759] Speed: 166.266987 samples/sec accuracy=28.195724 loss=3.329503 lr=0.099106 Epoch[043] Batch [2899]/[3759] Speed: 162.690324 samples/sec accuracy=28.220905 loss=3.328709 lr=0.099104 Epoch[043] Batch [2949]/[3759] Speed: 163.153909 samples/sec accuracy=28.202860 loss=3.328957 lr=0.099101 Epoch[043] Batch [2999]/[3759] Speed: 165.018460 samples/sec accuracy=28.198438 loss=3.328829 lr=0.099099 Epoch[043] Batch [3049]/[3759] Speed: 164.398971 samples/sec accuracy=28.177254 loss=3.329178 lr=0.099096 Epoch[043] Batch [3099]/[3759] Speed: 162.648832 samples/sec accuracy=28.185988 loss=3.329259 lr=0.099094 Epoch[043] Batch [3149]/[3759] Speed: 164.824786 samples/sec accuracy=28.175595 loss=3.329136 lr=0.099091 Epoch[043] Batch [3199]/[3759] Speed: 163.488006 samples/sec accuracy=28.165039 loss=3.330063 lr=0.099089 Epoch[043] Batch [3249]/[3759] Speed: 164.548107 samples/sec accuracy=28.174519 loss=3.329779 lr=0.099087 Epoch[043] Batch [3299]/[3759] Speed: 164.095060 samples/sec accuracy=28.171402 loss=3.329140 lr=0.099084 Epoch[043] Batch [3349]/[3759] Speed: 164.307736 samples/sec accuracy=28.188899 loss=3.328503 lr=0.099082 Epoch[043] Batch [3399]/[3759] Speed: 164.932369 samples/sec accuracy=28.191636 loss=3.327354 lr=0.099079 Epoch[043] Batch [3449]/[3759] Speed: 165.032038 samples/sec accuracy=28.198822 loss=3.326856 lr=0.099077 Epoch[043] Batch [3499]/[3759] Speed: 163.647327 samples/sec accuracy=28.185268 loss=3.326919 lr=0.099074 Epoch[043] Batch [3549]/[3759] Speed: 163.819986 samples/sec accuracy=28.186180 loss=3.326763 lr=0.099072 Epoch[043] Batch [3599]/[3759] Speed: 163.941593 samples/sec accuracy=28.203559 loss=3.326503 lr=0.099069 Epoch[043] Batch [3649]/[3759] Speed: 163.491467 samples/sec accuracy=28.187928 loss=3.327411 lr=0.099067 Epoch[043] Batch [3699]/[3759] Speed: 163.089676 samples/sec accuracy=28.188767 loss=3.327752 lr=0.099064 Epoch[043] Batch [3749]/[3759] Speed: 178.204870 samples/sec accuracy=28.199583 loss=3.327643 lr=0.099062 Batch [0049]/[0303]: acc-top1=28.125000 acc-top5=55.031250 Batch [0099]/[0303]: acc-top1=26.984375 acc-top5=52.312500 Batch [0149]/[0303]: acc-top1=27.937500 acc-top5=53.885417 Batch [0199]/[0303]: acc-top1=30.609375 acc-top5=56.507812 Batch [0249]/[0303]: acc-top1=30.137500 acc-top5=56.581250 Batch [0299]/[0303]: acc-top1=29.890625 acc-top5=56.703125 [Epoch 043] training: accuracy=28.199405 loss=3.327413 [Epoch 043] speed: 163 samples/sec time cost: 1592.233746 [Epoch 043] validation: acc-top1=29.862830 acc-top5=56.770833 loss=3.434738 Epoch[044] Batch [0049]/[3760] Speed: 113.745917 samples/sec accuracy=29.562500 loss=3.214417 lr=0.099059 Epoch[044] Batch [0099]/[3760] Speed: 163.164580 samples/sec accuracy=28.875000 loss=3.268695 lr=0.099056 Epoch[044] Batch [0149]/[3760] Speed: 164.335184 samples/sec accuracy=28.677083 loss=3.285882 lr=0.099054 Epoch[044] Batch [0199]/[3760] Speed: 164.600369 samples/sec accuracy=28.781250 loss=3.283844 lr=0.099051 Epoch[044] Batch [0249]/[3760] Speed: 166.181004 samples/sec accuracy=28.925000 loss=3.283158 lr=0.099049 Epoch[044] Batch [0299]/[3760] Speed: 163.721054 samples/sec accuracy=28.572917 loss=3.293907 lr=0.099046 Epoch[044] Batch [0349]/[3760] Speed: 164.368693 samples/sec accuracy=28.696429 loss=3.292721 lr=0.099044 Epoch[044] Batch [0399]/[3760] Speed: 165.703037 samples/sec accuracy=28.867188 loss=3.288512 lr=0.099041 Epoch[044] Batch [0449]/[3760] Speed: 164.720955 samples/sec accuracy=28.777778 loss=3.291323 lr=0.099039 Epoch[044] Batch [0499]/[3760] Speed: 164.435164 samples/sec accuracy=28.815625 loss=3.292271 lr=0.099036 Epoch[044] Batch [0549]/[3760] Speed: 162.443582 samples/sec accuracy=28.803977 loss=3.292143 lr=0.099034 Epoch[044] Batch [0599]/[3760] Speed: 164.082591 samples/sec accuracy=28.677083 loss=3.299842 lr=0.099031 Epoch[044] Batch [0649]/[3760] Speed: 164.130564 samples/sec accuracy=28.596154 loss=3.309792 lr=0.099029 Epoch[044] Batch [0699]/[3760] Speed: 164.212593 samples/sec accuracy=28.587054 loss=3.308907 lr=0.099026 Epoch[044] Batch [0749]/[3760] Speed: 164.996851 samples/sec accuracy=28.527083 loss=3.313557 lr=0.099024 Epoch[044] Batch [0799]/[3760] Speed: 162.227765 samples/sec accuracy=28.554687 loss=3.314333 lr=0.099021 Epoch[044] Batch [0849]/[3760] Speed: 165.111093 samples/sec accuracy=28.610294 loss=3.313130 lr=0.099019 Epoch[044] Batch [0899]/[3760] Speed: 162.871430 samples/sec accuracy=28.640625 loss=3.311558 lr=0.099016 Epoch[044] Batch [0949]/[3760] Speed: 163.119588 samples/sec accuracy=28.641447 loss=3.311419 lr=0.099014 Epoch[044] Batch [0999]/[3760] Speed: 164.594164 samples/sec accuracy=28.510938 loss=3.316264 lr=0.099011 Epoch[044] Batch [1049]/[3760] Speed: 164.057805 samples/sec accuracy=28.453869 loss=3.318252 lr=0.099008 Epoch[044] Batch [1099]/[3760] Speed: 163.810825 samples/sec accuracy=28.390625 loss=3.318635 lr=0.099006 Epoch[044] Batch [1149]/[3760] Speed: 165.454539 samples/sec accuracy=28.379076 loss=3.317614 lr=0.099003 Epoch[044] Batch [1199]/[3760] Speed: 165.064246 samples/sec accuracy=28.421875 loss=3.316846 lr=0.099001 Epoch[044] Batch [1249]/[3760] Speed: 164.463717 samples/sec accuracy=28.418750 loss=3.316690 lr=0.098998 Epoch[044] Batch [1299]/[3760] Speed: 162.999195 samples/sec accuracy=28.444712 loss=3.315650 lr=0.098996 Epoch[044] Batch [1349]/[3760] Speed: 164.760029 samples/sec accuracy=28.461806 loss=3.316325 lr=0.098993 Epoch[044] Batch [1399]/[3760] Speed: 163.399191 samples/sec accuracy=28.449777 loss=3.318771 lr=0.098990 Epoch[044] Batch [1449]/[3760] Speed: 164.538035 samples/sec accuracy=28.451509 loss=3.318302 lr=0.098988 Epoch[044] Batch [1499]/[3760] Speed: 163.337713 samples/sec accuracy=28.444792 loss=3.318740 lr=0.098985 Epoch[044] Batch [1549]/[3760] Speed: 164.179187 samples/sec accuracy=28.439516 loss=3.316549 lr=0.098983 Epoch[044] Batch [1599]/[3760] Speed: 163.801257 samples/sec accuracy=28.408203 loss=3.316305 lr=0.098980 Epoch[044] Batch [1649]/[3760] Speed: 164.457128 samples/sec accuracy=28.419508 loss=3.316431 lr=0.098978 Epoch[044] Batch [1699]/[3760] Speed: 165.072208 samples/sec accuracy=28.397059 loss=3.319129 lr=0.098975 Epoch[044] Batch [1749]/[3760] Speed: 164.393363 samples/sec accuracy=28.381250 loss=3.320570 lr=0.098972 Epoch[044] Batch [1799]/[3760] Speed: 163.044575 samples/sec accuracy=28.387153 loss=3.319463 lr=0.098970 Epoch[044] Batch [1849]/[3760] Speed: 165.715285 samples/sec accuracy=28.358108 loss=3.320199 lr=0.098967 Epoch[044] Batch [1899]/[3760] Speed: 164.942951 samples/sec accuracy=28.366776 loss=3.320847 lr=0.098964 Epoch[044] Batch [1949]/[3760] Speed: 164.009830 samples/sec accuracy=28.345353 loss=3.321513 lr=0.098962 Epoch[044] Batch [1999]/[3760] Speed: 164.188524 samples/sec accuracy=28.356250 loss=3.320678 lr=0.098959 Epoch[044] Batch [2049]/[3760] Speed: 164.398932 samples/sec accuracy=28.376524 loss=3.320640 lr=0.098957 Epoch[044] Batch [2099]/[3760] Speed: 164.626326 samples/sec accuracy=28.388393 loss=3.319544 lr=0.098954 Epoch[044] Batch [2149]/[3760] Speed: 163.052254 samples/sec accuracy=28.372820 loss=3.320092 lr=0.098951 Epoch[044] Batch [2199]/[3760] Speed: 162.922161 samples/sec accuracy=28.363636 loss=3.320173 lr=0.098949 Epoch[044] Batch [2249]/[3760] Speed: 166.088482 samples/sec accuracy=28.334028 loss=3.320604 lr=0.098946 Epoch[044] Batch [2299]/[3760] Speed: 164.742676 samples/sec accuracy=28.326087 loss=3.321313 lr=0.098944 Epoch[044] Batch [2349]/[3760] Speed: 166.327425 samples/sec accuracy=28.303191 loss=3.321847 lr=0.098941 Epoch[044] Batch [2399]/[3760] Speed: 163.699812 samples/sec accuracy=28.286458 loss=3.322199 lr=0.098938 Epoch[044] Batch [2449]/[3760] Speed: 163.852993 samples/sec accuracy=28.291454 loss=3.321726 lr=0.098936 Epoch[044] Batch [2499]/[3760] Speed: 164.234896 samples/sec accuracy=28.303750 loss=3.322683 lr=0.098933 Epoch[044] Batch [2549]/[3760] Speed: 164.306881 samples/sec accuracy=28.332721 loss=3.321941 lr=0.098930 Epoch[044] Batch [2599]/[3760] Speed: 162.767757 samples/sec accuracy=28.329928 loss=3.321849 lr=0.098928 Epoch[044] Batch [2649]/[3760] Speed: 163.832278 samples/sec accuracy=28.318986 loss=3.321986 lr=0.098925 Epoch[044] Batch [2699]/[3760] Speed: 162.901485 samples/sec accuracy=28.324074 loss=3.321387 lr=0.098922 Epoch[044] Batch [2749]/[3760] Speed: 163.440912 samples/sec accuracy=28.319886 loss=3.322103 lr=0.098920 Epoch[044] Batch [2799]/[3760] Speed: 165.691280 samples/sec accuracy=28.305804 loss=3.323504 lr=0.098917 Epoch[044] Batch [2849]/[3760] Speed: 163.462062 samples/sec accuracy=28.304276 loss=3.323204 lr=0.098914 Epoch[044] Batch [2899]/[3760] Speed: 165.057754 samples/sec accuracy=28.299030 loss=3.324091 lr=0.098912 Epoch[044] Batch [2949]/[3760] Speed: 163.433658 samples/sec accuracy=28.298199 loss=3.323536 lr=0.098909 Epoch[044] Batch [2999]/[3760] Speed: 163.430255 samples/sec accuracy=28.308333 loss=3.323131 lr=0.098906 Epoch[044] Batch [3049]/[3760] Speed: 163.308404 samples/sec accuracy=28.306352 loss=3.322870 lr=0.098904 Epoch[044] Batch [3099]/[3760] Speed: 163.902094 samples/sec accuracy=28.306452 loss=3.322686 lr=0.098901 Epoch[044] Batch [3149]/[3760] Speed: 165.096227 samples/sec accuracy=28.311508 loss=3.323722 lr=0.098898 Epoch[044] Batch [3199]/[3760] Speed: 165.039392 samples/sec accuracy=28.309082 loss=3.323772 lr=0.098896 Epoch[044] Batch [3249]/[3760] Speed: 163.343632 samples/sec accuracy=28.291827 loss=3.324553 lr=0.098893 Epoch[044] Batch [3299]/[3760] Speed: 166.079757 samples/sec accuracy=28.301610 loss=3.324783 lr=0.098890 Epoch[044] Batch [3349]/[3760] Speed: 160.175571 samples/sec accuracy=28.318097 loss=3.324359 lr=0.098887 Epoch[044] Batch [3399]/[3760] Speed: 164.296941 samples/sec accuracy=28.318015 loss=3.324482 lr=0.098885 Epoch[044] Batch [3449]/[3760] Speed: 163.702525 samples/sec accuracy=28.331522 loss=3.325544 lr=0.098882 Epoch[044] Batch [3499]/[3760] Speed: 163.154209 samples/sec accuracy=28.313839 loss=3.326102 lr=0.098879 Epoch[044] Batch [3549]/[3760] Speed: 163.855942 samples/sec accuracy=28.331866 loss=3.325696 lr=0.098877 Epoch[044] Batch [3599]/[3760] Speed: 163.765174 samples/sec accuracy=28.322483 loss=3.325803 lr=0.098874 Epoch[044] Batch [3649]/[3760] Speed: 163.079841 samples/sec accuracy=28.324914 loss=3.326078 lr=0.098871 Epoch[044] Batch [3699]/[3760] Speed: 165.013913 samples/sec accuracy=28.323480 loss=3.326617 lr=0.098868 Epoch[044] Batch [3749]/[3760] Speed: 177.264436 samples/sec accuracy=28.308333 loss=3.327345 lr=0.098866 Batch [0049]/[0303]: acc-top1=30.093750 acc-top5=53.906250 Batch [0099]/[0303]: acc-top1=26.875000 acc-top5=53.156250 Batch [0149]/[0303]: acc-top1=27.979167 acc-top5=54.322917 Batch [0199]/[0303]: acc-top1=31.171875 acc-top5=57.523438 Batch [0249]/[0303]: acc-top1=30.256250 acc-top5=56.881250 Batch [0299]/[0303]: acc-top1=29.614583 acc-top5=56.526042 [Epoch 044] training: accuracy=28.308677 loss=3.327273 [Epoch 044] speed: 163 samples/sec time cost: 1589.697671 [Epoch 044] validation: acc-top1=29.641089 acc-top5=56.538779 loss=3.384812 Epoch[045] Batch [0049]/[3760] Speed: 116.834331 samples/sec accuracy=28.468750 loss=3.341795 lr=0.098862 Epoch[045] Batch [0099]/[3760] Speed: 163.884972 samples/sec accuracy=28.968750 loss=3.281813 lr=0.098860 Epoch[045] Batch [0149]/[3760] Speed: 165.191599 samples/sec accuracy=29.135417 loss=3.283775 lr=0.098857 Epoch[045] Batch [0199]/[3760] Speed: 162.062284 samples/sec accuracy=28.718750 loss=3.297718 lr=0.098854 Epoch[045] Batch [0249]/[3760] Speed: 162.598856 samples/sec accuracy=28.656250 loss=3.298872 lr=0.098851 Epoch[045] Batch [0299]/[3760] Speed: 164.969988 samples/sec accuracy=28.661458 loss=3.298272 lr=0.098849 Epoch[045] Batch [0349]/[3760] Speed: 164.736762 samples/sec accuracy=28.616071 loss=3.295232 lr=0.098846 Epoch[045] Batch [0399]/[3760] Speed: 163.931687 samples/sec accuracy=28.687500 loss=3.289113 lr=0.098843 Epoch[045] Batch [0449]/[3760] Speed: 163.076295 samples/sec accuracy=28.694444 loss=3.291857 lr=0.098840 Epoch[045] Batch [0499]/[3760] Speed: 164.209809 samples/sec accuracy=28.712500 loss=3.293676 lr=0.098838 Epoch[045] Batch [0549]/[3760] Speed: 163.722211 samples/sec accuracy=28.678977 loss=3.295945 lr=0.098835 Epoch[045] Batch [0599]/[3760] Speed: 161.704130 samples/sec accuracy=28.729167 loss=3.295904 lr=0.098832 Epoch[045] Batch [0649]/[3760] Speed: 164.569096 samples/sec accuracy=28.673077 loss=3.300110 lr=0.098829 Epoch[045] Batch [0699]/[3760] Speed: 162.724907 samples/sec accuracy=28.707589 loss=3.300707 lr=0.098827 Epoch[045] Batch [0749]/[3760] Speed: 163.679685 samples/sec accuracy=28.745833 loss=3.299679 lr=0.098824 Epoch[045] Batch [0799]/[3760] Speed: 163.154909 samples/sec accuracy=28.843750 loss=3.296570 lr=0.098821 Epoch[045] Batch [0849]/[3760] Speed: 163.966245 samples/sec accuracy=28.783088 loss=3.300377 lr=0.098818 Epoch[045] Batch [0899]/[3760] Speed: 164.295262 samples/sec accuracy=28.753472 loss=3.303757 lr=0.098815 Epoch[045] Batch [0949]/[3760] Speed: 165.575005 samples/sec accuracy=28.774671 loss=3.303922 lr=0.098813 Epoch[045] Batch [0999]/[3760] Speed: 162.640035 samples/sec accuracy=28.773438 loss=3.305688 lr=0.098810 Epoch[045] Batch [1049]/[3760] Speed: 163.340841 samples/sec accuracy=28.805060 loss=3.303414 lr=0.098807 Epoch[045] Batch [1099]/[3760] Speed: 163.465050 samples/sec accuracy=28.723011 loss=3.307350 lr=0.098804 Epoch[045] Batch [1149]/[3760] Speed: 164.492016 samples/sec accuracy=28.721467 loss=3.308395 lr=0.098801 Epoch[045] Batch [1199]/[3760] Speed: 163.382101 samples/sec accuracy=28.742188 loss=3.307919 lr=0.098799 Epoch[045] Batch [1249]/[3760] Speed: 163.131864 samples/sec accuracy=28.667500 loss=3.307918 lr=0.098796 Epoch[045] Batch [1299]/[3760] Speed: 163.015967 samples/sec accuracy=28.646635 loss=3.308972 lr=0.098793 Epoch[045] Batch [1349]/[3760] Speed: 166.097355 samples/sec accuracy=28.635417 loss=3.309228 lr=0.098790 Epoch[045] Batch [1399]/[3760] Speed: 161.028612 samples/sec accuracy=28.702009 loss=3.306636 lr=0.098787 Epoch[045] Batch [1449]/[3760] Speed: 164.271383 samples/sec accuracy=28.679957 loss=3.307329 lr=0.098785 Epoch[045] Batch [1499]/[3760] Speed: 164.230553 samples/sec accuracy=28.692708 loss=3.307394 lr=0.098782 Epoch[045] Batch [1549]/[3760] Speed: 163.970999 samples/sec accuracy=28.662298 loss=3.311056 lr=0.098779 Epoch[045] Batch [1599]/[3760] Speed: 166.247803 samples/sec accuracy=28.664062 loss=3.311094 lr=0.098776 Epoch[045] Batch [1649]/[3760] Speed: 163.185953 samples/sec accuracy=28.692235 loss=3.310092 lr=0.098773 Epoch[045] Batch [1699]/[3760] Speed: 164.864991 samples/sec accuracy=28.686581 loss=3.310428 lr=0.098770 Epoch[045] Batch [1749]/[3760] Speed: 162.644214 samples/sec accuracy=28.689286 loss=3.311302 lr=0.098767 Epoch[045] Batch [1799]/[3760] Speed: 164.376531 samples/sec accuracy=28.643229 loss=3.312408 lr=0.098765 Epoch[045] Batch [1849]/[3760] Speed: 163.320890 samples/sec accuracy=28.636824 loss=3.311926 lr=0.098762 Epoch[045] Batch [1899]/[3760] Speed: 164.309829 samples/sec accuracy=28.605263 loss=3.314868 lr=0.098759 Epoch[045] Batch [1949]/[3760] Speed: 163.236785 samples/sec accuracy=28.611378 loss=3.314579 lr=0.098756 Epoch[045] Batch [1999]/[3760] Speed: 163.486506 samples/sec accuracy=28.575000 loss=3.315103 lr=0.098753 Epoch[045] Batch [2049]/[3760] Speed: 163.967842 samples/sec accuracy=28.576982 loss=3.315222 lr=0.098750 Epoch[045] Batch [2099]/[3760] Speed: 164.017103 samples/sec accuracy=28.572173 loss=3.314871 lr=0.098747 Epoch[045] Batch [2149]/[3760] Speed: 164.492250 samples/sec accuracy=28.589390 loss=3.313443 lr=0.098745 Epoch[045] Batch [2199]/[3760] Speed: 162.531630 samples/sec accuracy=28.590199 loss=3.312005 lr=0.098742 Epoch[045] Batch [2249]/[3760] Speed: 164.675075 samples/sec accuracy=28.577778 loss=3.312456 lr=0.098739 Epoch[045] Batch [2299]/[3760] Speed: 163.096723 samples/sec accuracy=28.569293 loss=3.314273 lr=0.098736 Epoch[045] Batch [2349]/[3760] Speed: 163.369543 samples/sec accuracy=28.563830 loss=3.314696 lr=0.098733 Epoch[045] Batch [2399]/[3760] Speed: 164.417506 samples/sec accuracy=28.567057 loss=3.314885 lr=0.098730 Epoch[045] Batch [2449]/[3760] Speed: 165.035362 samples/sec accuracy=28.545918 loss=3.314643 lr=0.098727 Epoch[045] Batch [2499]/[3760] Speed: 162.370977 samples/sec accuracy=28.550000 loss=3.314084 lr=0.098724 Epoch[045] Batch [2549]/[3760] Speed: 165.955575 samples/sec accuracy=28.530637 loss=3.313967 lr=0.098722 Epoch[045] Batch [2599]/[3760] Speed: 162.670672 samples/sec accuracy=28.537260 loss=3.314296 lr=0.098719 Epoch[045] Batch [2649]/[3760] Speed: 165.748583 samples/sec accuracy=28.529481 loss=3.315516 lr=0.098716 Epoch[045] Batch [2699]/[3760] Speed: 165.571512 samples/sec accuracy=28.501736 loss=3.315685 lr=0.098713 Epoch[045] Batch [2749]/[3760] Speed: 162.702637 samples/sec accuracy=28.515341 loss=3.315797 lr=0.098710 Epoch[045] Batch [2799]/[3760] Speed: 163.827535 samples/sec accuracy=28.492746 loss=3.317498 lr=0.098707 Epoch[045] Batch [2849]/[3760] Speed: 164.397934 samples/sec accuracy=28.482456 loss=3.318005 lr=0.098704 Epoch[045] Batch [2899]/[3760] Speed: 165.530221 samples/sec accuracy=28.502694 loss=3.317835 lr=0.098701 Epoch[045] Batch [2949]/[3760] Speed: 162.998886 samples/sec accuracy=28.496822 loss=3.317671 lr=0.098698 Epoch[045] Batch [2999]/[3760] Speed: 163.878853 samples/sec accuracy=28.524479 loss=3.316209 lr=0.098695 Epoch[045] Batch [3049]/[3760] Speed: 163.822244 samples/sec accuracy=28.490779 loss=3.317550 lr=0.098692 Epoch[045] Batch [3099]/[3760] Speed: 163.223052 samples/sec accuracy=28.499496 loss=3.317183 lr=0.098689 Epoch[045] Batch [3149]/[3760] Speed: 164.448083 samples/sec accuracy=28.499008 loss=3.317384 lr=0.098687 Epoch[045] Batch [3199]/[3760] Speed: 163.714177 samples/sec accuracy=28.486816 loss=3.317882 lr=0.098684 Epoch[045] Batch [3249]/[3760] Speed: 163.726660 samples/sec accuracy=28.499038 loss=3.317704 lr=0.098681 Epoch[045] Batch [3299]/[3760] Speed: 164.270120 samples/sec accuracy=28.491477 loss=3.317932 lr=0.098678 Epoch[045] Batch [3349]/[3760] Speed: 164.466839 samples/sec accuracy=28.475280 loss=3.318573 lr=0.098675 Epoch[045] Batch [3399]/[3760] Speed: 162.828531 samples/sec accuracy=28.486213 loss=3.318546 lr=0.098672 Epoch[045] Batch [3449]/[3760] Speed: 162.517439 samples/sec accuracy=28.480072 loss=3.318791 lr=0.098669 Epoch[045] Batch [3499]/[3760] Speed: 163.121263 samples/sec accuracy=28.487054 loss=3.319379 lr=0.098666 Epoch[045] Batch [3549]/[3760] Speed: 163.465169 samples/sec accuracy=28.490757 loss=3.319101 lr=0.098663 Epoch[045] Batch [3599]/[3760] Speed: 162.439693 samples/sec accuracy=28.501736 loss=3.319212 lr=0.098660 Epoch[045] Batch [3649]/[3760] Speed: 164.851130 samples/sec accuracy=28.488870 loss=3.319428 lr=0.098657 Epoch[045] Batch [3699]/[3760] Speed: 163.353966 samples/sec accuracy=28.484797 loss=3.319090 lr=0.098654 Epoch[045] Batch [3749]/[3760] Speed: 175.396978 samples/sec accuracy=28.499583 loss=3.318658 lr=0.098651 Batch [0049]/[0303]: acc-top1=29.531250 acc-top5=55.812500 Batch [0099]/[0303]: acc-top1=26.718750 acc-top5=53.296875 Batch [0149]/[0303]: acc-top1=28.062500 acc-top5=54.156250 Batch [0199]/[0303]: acc-top1=30.875000 acc-top5=56.437500 Batch [0249]/[0303]: acc-top1=30.537500 acc-top5=56.368750 Batch [0299]/[0303]: acc-top1=29.494792 acc-top5=56.135417 [Epoch 045] training: accuracy=28.495678 loss=3.319272 [Epoch 045] speed: 163 samples/sec time cost: 1591.566221 [Epoch 045] validation: acc-top1=29.537954 acc-top5=56.224216 loss=3.387776 Epoch[046] Batch [0049]/[3759] Speed: 115.135128 samples/sec accuracy=27.437500 loss=3.324126 lr=0.098647 Epoch[046] Batch [0099]/[3759] Speed: 163.442129 samples/sec accuracy=27.593750 loss=3.335491 lr=0.098644 Epoch[046] Batch [0149]/[3759] Speed: 163.646816 samples/sec accuracy=27.718750 loss=3.340431 lr=0.098642 Epoch[046] Batch [0199]/[3759] Speed: 161.445784 samples/sec accuracy=28.109375 loss=3.322170 lr=0.098639 Epoch[046] Batch [0249]/[3759] Speed: 164.200377 samples/sec accuracy=28.006250 loss=3.325029 lr=0.098636 Epoch[046] Batch [0299]/[3759] Speed: 162.541612 samples/sec accuracy=27.989583 loss=3.320399 lr=0.098633 Epoch[046] Batch [0349]/[3759] Speed: 162.193316 samples/sec accuracy=28.040179 loss=3.323193 lr=0.098630 Epoch[046] Batch [0399]/[3759] Speed: 165.194175 samples/sec accuracy=28.238281 loss=3.312489 lr=0.098627 Epoch[046] Batch [0449]/[3759] 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accuracy=28.559028 loss=3.308370 lr=0.098596 Epoch[046] Batch [0949]/[3759] Speed: 163.605747 samples/sec accuracy=28.491776 loss=3.311627 lr=0.098593 Epoch[046] Batch [0999]/[3759] Speed: 163.139302 samples/sec accuracy=28.514062 loss=3.311489 lr=0.098590 Epoch[046] Batch [1049]/[3759] Speed: 163.512777 samples/sec accuracy=28.501488 loss=3.312070 lr=0.098587 Epoch[046] Batch [1099]/[3759] Speed: 162.969419 samples/sec accuracy=28.549716 loss=3.308431 lr=0.098584 Epoch[046] Batch [1149]/[3759] Speed: 163.174411 samples/sec accuracy=28.546196 loss=3.308669 lr=0.098581 Epoch[046] Batch [1199]/[3759] Speed: 164.535982 samples/sec accuracy=28.552083 loss=3.307504 lr=0.098578 Epoch[046] Batch [1249]/[3759] Speed: 163.186003 samples/sec accuracy=28.498750 loss=3.309873 lr=0.098575 Epoch[046] Batch [1299]/[3759] Speed: 163.441784 samples/sec accuracy=28.519231 loss=3.308320 lr=0.098572 Epoch[046] Batch [1349]/[3759] Speed: 163.397713 samples/sec accuracy=28.506944 loss=3.308565 lr=0.098569 Epoch[046] Batch [1399]/[3759] Speed: 163.900646 samples/sec accuracy=28.505580 loss=3.307539 lr=0.098566 Epoch[046] Batch [1449]/[3759] Speed: 164.179980 samples/sec accuracy=28.500000 loss=3.307883 lr=0.098563 Epoch[046] Batch [1499]/[3759] Speed: 165.970593 samples/sec accuracy=28.459375 loss=3.310475 lr=0.098560 Epoch[046] Batch [1549]/[3759] Speed: 162.081984 samples/sec accuracy=28.454637 loss=3.308857 lr=0.098557 Epoch[046] Batch [1599]/[3759] Speed: 164.684905 samples/sec accuracy=28.434570 loss=3.310668 lr=0.098554 Epoch[046] Batch [1649]/[3759] Speed: 165.445363 samples/sec accuracy=28.470644 loss=3.310516 lr=0.098550 Epoch[046] Batch [1699]/[3759] Speed: 162.513523 samples/sec accuracy=28.476103 loss=3.311146 lr=0.098547 Epoch[046] Batch [1749]/[3759] Speed: 162.115279 samples/sec accuracy=28.483036 loss=3.311105 lr=0.098544 Epoch[046] Batch [1799]/[3759] Speed: 162.668195 samples/sec accuracy=28.457465 loss=3.310785 lr=0.098541 Epoch[046] Batch [1849]/[3759] Speed: 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loss=3.307137 lr=0.098510 Epoch[046] Batch [2349]/[3759] Speed: 161.421790 samples/sec accuracy=28.513298 loss=3.307005 lr=0.098507 Epoch[046] Batch [2399]/[3759] Speed: 163.760351 samples/sec accuracy=28.505859 loss=3.307590 lr=0.098504 Epoch[046] Batch [2449]/[3759] Speed: 163.620931 samples/sec accuracy=28.480867 loss=3.307666 lr=0.098501 Epoch[046] Batch [2499]/[3759] Speed: 161.685252 samples/sec accuracy=28.443750 loss=3.308965 lr=0.098498 Epoch[046] Batch [2549]/[3759] Speed: 163.126055 samples/sec accuracy=28.420956 loss=3.310344 lr=0.098494 Epoch[046] Batch [2599]/[3759] Speed: 162.541903 samples/sec accuracy=28.409856 loss=3.311175 lr=0.098491 Epoch[046] Batch [2649]/[3759] Speed: 165.534351 samples/sec accuracy=28.408019 loss=3.311947 lr=0.098488 Epoch[046] Batch [2699]/[3759] Speed: 163.464319 samples/sec accuracy=28.417824 loss=3.311057 lr=0.098485 Epoch[046] Batch [2749]/[3759] Speed: 164.452717 samples/sec accuracy=28.431818 loss=3.310563 lr=0.098482 Epoch[046] Batch [2799]/[3759] Speed: 161.243968 samples/sec accuracy=28.415179 loss=3.310461 lr=0.098479 Epoch[046] Batch [2849]/[3759] Speed: 163.414215 samples/sec accuracy=28.407346 loss=3.310244 lr=0.098476 Epoch[046] Batch [2899]/[3759] Speed: 163.522504 samples/sec accuracy=28.371767 loss=3.311929 lr=0.098472 Epoch[046] Batch [2949]/[3759] Speed: 161.302888 samples/sec accuracy=28.389831 loss=3.311804 lr=0.098469 Epoch[046] Batch [2999]/[3759] Speed: 165.357174 samples/sec accuracy=28.385417 loss=3.312033 lr=0.098466 Epoch[046] Batch [3049]/[3759] Speed: 161.925176 samples/sec accuracy=28.384221 loss=3.312352 lr=0.098463 Epoch[046] Batch [3099]/[3759] Speed: 164.324289 samples/sec accuracy=28.369960 loss=3.314134 lr=0.098460 Epoch[046] Batch [3149]/[3759] Speed: 164.615659 samples/sec accuracy=28.367063 loss=3.314269 lr=0.098457 Epoch[046] Batch [3199]/[3759] Speed: 165.257698 samples/sec accuracy=28.375000 loss=3.313960 lr=0.098453 Epoch[046] Batch [3249]/[3759] Speed: 164.164855 samples/sec accuracy=28.365385 loss=3.314683 lr=0.098450 Epoch[046] Batch [3299]/[3759] Speed: 162.372768 samples/sec accuracy=28.364583 loss=3.314372 lr=0.098447 Epoch[046] Batch [3349]/[3759] Speed: 163.081278 samples/sec accuracy=28.354478 loss=3.314938 lr=0.098444 Epoch[046] Batch [3399]/[3759] Speed: 164.318278 samples/sec accuracy=28.359375 loss=3.314875 lr=0.098441 Epoch[046] Batch [3449]/[3759] Speed: 163.991492 samples/sec accuracy=28.355978 loss=3.315000 lr=0.098437 Epoch[046] Batch [3499]/[3759] Speed: 163.314749 samples/sec accuracy=28.358482 loss=3.315190 lr=0.098434 Epoch[046] Batch [3549]/[3759] Speed: 164.862633 samples/sec accuracy=28.374120 loss=3.314769 lr=0.098431 Epoch[046] Batch [3599]/[3759] Speed: 161.545661 samples/sec accuracy=28.378472 loss=3.314656 lr=0.098428 Epoch[046] Batch [3649]/[3759] Speed: 164.892144 samples/sec accuracy=28.367723 loss=3.314758 lr=0.098425 Epoch[046] Batch [3699]/[3759] Speed: 162.457886 samples/sec accuracy=28.364865 loss=3.315339 lr=0.098421 Epoch[046] Batch [3749]/[3759] Speed: 176.912065 samples/sec accuracy=28.360000 loss=3.315289 lr=0.098418 Batch [0049]/[0303]: acc-top1=28.562500 acc-top5=55.656250 Batch [0099]/[0303]: acc-top1=26.062500 acc-top5=52.734375 Batch [0149]/[0303]: acc-top1=27.802083 acc-top5=54.125000 Batch [0199]/[0303]: acc-top1=30.015625 acc-top5=55.757812 Batch [0249]/[0303]: acc-top1=29.231250 acc-top5=55.256250 Batch [0299]/[0303]: acc-top1=28.786458 acc-top5=55.583333 [Epoch 046] training: accuracy=28.361516 loss=3.315292 [Epoch 046] speed: 162 samples/sec time cost: 1594.619001 [Epoch 046] validation: acc-top1=28.831477 acc-top5=55.662129 loss=3.405020 Epoch[047] Batch [0049]/[3760] Speed: 113.873060 samples/sec accuracy=28.937500 loss=3.298689 lr=0.098414 Epoch[047] Batch [0099]/[3760] Speed: 162.835317 samples/sec accuracy=28.609375 loss=3.314631 lr=0.098411 Epoch[047] Batch [0149]/[3760] Speed: 163.784531 samples/sec accuracy=28.604167 loss=3.313645 lr=0.098408 Epoch[047] Batch [0199]/[3760] Speed: 163.655486 samples/sec accuracy=28.421875 loss=3.334397 lr=0.098405 Epoch[047] Batch [0249]/[3760] Speed: 162.106585 samples/sec accuracy=28.356250 loss=3.333932 lr=0.098401 Epoch[047] Batch [0299]/[3760] Speed: 163.668336 samples/sec accuracy=28.588542 loss=3.320869 lr=0.098398 Epoch[047] Batch [0349]/[3760] Speed: 164.345696 samples/sec accuracy=28.660714 loss=3.318781 lr=0.098395 Epoch[047] Batch [0399]/[3760] Speed: 164.674537 samples/sec accuracy=28.652344 loss=3.314318 lr=0.098392 Epoch[047] Batch [0449]/[3760] Speed: 164.993999 samples/sec accuracy=28.722222 loss=3.307665 lr=0.098388 Epoch[047] Batch [0499]/[3760] Speed: 162.484160 samples/sec accuracy=28.675000 loss=3.311638 lr=0.098385 Epoch[047] Batch [0549]/[3760] Speed: 164.066346 samples/sec accuracy=28.772727 loss=3.306730 lr=0.098382 Epoch[047] Batch [0599]/[3760] Speed: 163.128815 samples/sec accuracy=28.791667 loss=3.304886 lr=0.098379 Epoch[047] Batch [0649]/[3760] Speed: 164.520420 samples/sec accuracy=28.687500 loss=3.311255 lr=0.098375 Epoch[047] Batch [0699]/[3760] Speed: 164.748801 samples/sec accuracy=28.741071 loss=3.312175 lr=0.098372 Epoch[047] Batch [0749]/[3760] Speed: 162.092380 samples/sec accuracy=28.718750 loss=3.311694 lr=0.098369 Epoch[047] Batch [0799]/[3760] Speed: 163.613765 samples/sec accuracy=28.804687 loss=3.307865 lr=0.098366 Epoch[047] Batch [0849]/[3760] Speed: 162.910203 samples/sec accuracy=28.794118 loss=3.305496 lr=0.098362 Epoch[047] Batch [0899]/[3760] Speed: 165.120640 samples/sec accuracy=28.817708 loss=3.305959 lr=0.098359 Epoch[047] Batch [0949]/[3760] Speed: 163.612819 samples/sec accuracy=28.812500 loss=3.305854 lr=0.098356 Epoch[047] Batch [0999]/[3760] Speed: 161.081128 samples/sec accuracy=28.865625 loss=3.301953 lr=0.098353 Epoch[047] Batch [1049]/[3760] Speed: 163.502861 samples/sec accuracy=28.839286 loss=3.302910 lr=0.098349 Epoch[047] Batch [1099]/[3760] Speed: 163.689341 samples/sec accuracy=28.829545 loss=3.303983 lr=0.098346 Epoch[047] Batch [1149]/[3760] Speed: 164.267780 samples/sec accuracy=28.811141 loss=3.303771 lr=0.098343 Epoch[047] Batch [1199]/[3760] Speed: 165.118554 samples/sec accuracy=28.768229 loss=3.305875 lr=0.098339 Epoch[047] Batch [1249]/[3760] Speed: 162.613520 samples/sec accuracy=28.762500 loss=3.306875 lr=0.098336 Epoch[047] Batch [1299]/[3760] Speed: 164.640217 samples/sec accuracy=28.724760 loss=3.309081 lr=0.098333 Epoch[047] Batch [1349]/[3760] Speed: 163.239171 samples/sec accuracy=28.719907 loss=3.309002 lr=0.098329 Epoch[047] Batch [1399]/[3760] Speed: 165.009637 samples/sec accuracy=28.713170 loss=3.308124 lr=0.098326 Epoch[047] Batch [1449]/[3760] Speed: 163.980364 samples/sec accuracy=28.697198 loss=3.308823 lr=0.098323 Epoch[047] Batch [1499]/[3760] Speed: 162.991865 samples/sec accuracy=28.702083 loss=3.309365 lr=0.098320 Epoch[047] Batch [1549]/[3760] Speed: 164.125483 samples/sec accuracy=28.723790 loss=3.308633 lr=0.098316 Epoch[047] Batch [1599]/[3760] Speed: 163.004399 samples/sec accuracy=28.777344 loss=3.306881 lr=0.098313 Epoch[047] Batch [1649]/[3760] Speed: 163.060338 samples/sec accuracy=28.744318 loss=3.308544 lr=0.098310 Epoch[047] Batch [1699]/[3760] Speed: 162.647673 samples/sec accuracy=28.761029 loss=3.308121 lr=0.098306 Epoch[047] Batch [1749]/[3760] Speed: 165.136302 samples/sec accuracy=28.793750 loss=3.308313 lr=0.098303 Epoch[047] Batch [1799]/[3760] Speed: 164.159793 samples/sec accuracy=28.755208 loss=3.309822 lr=0.098300 Epoch[047] Batch [1849]/[3760] Speed: 162.977983 samples/sec accuracy=28.733953 loss=3.311525 lr=0.098296 Epoch[047] Batch [1899]/[3760] Speed: 164.969359 samples/sec accuracy=28.700658 loss=3.312944 lr=0.098293 Epoch[047] Batch [1949]/[3760] Speed: 164.374184 samples/sec accuracy=28.717949 loss=3.311306 lr=0.098290 Epoch[047] Batch [1999]/[3760] Speed: 164.668270 samples/sec accuracy=28.692969 loss=3.313047 lr=0.098286 Epoch[047] Batch [2049]/[3760] Speed: 163.599787 samples/sec accuracy=28.685976 loss=3.311891 lr=0.098283 Epoch[047] Batch [2099]/[3760] Speed: 165.651984 samples/sec accuracy=28.691964 loss=3.311750 lr=0.098280 Epoch[047] Batch [2149]/[3760] Speed: 162.807978 samples/sec accuracy=28.726744 loss=3.311259 lr=0.098276 Epoch[047] Batch [2199]/[3760] Speed: 164.587634 samples/sec accuracy=28.735795 loss=3.310540 lr=0.098273 Epoch[047] Batch [2249]/[3760] Speed: 164.190854 samples/sec accuracy=28.711111 loss=3.311336 lr=0.098269 Epoch[047] Batch [2299]/[3760] Speed: 163.999898 samples/sec accuracy=28.690897 loss=3.312529 lr=0.098266 Epoch[047] Batch [2349]/[3760] Speed: 164.995794 samples/sec accuracy=28.680851 loss=3.312667 lr=0.098263 Epoch[047] Batch [2399]/[3760] Speed: 164.597159 samples/sec accuracy=28.662760 loss=3.312953 lr=0.098259 Epoch[047] Batch [2449]/[3760] Speed: 163.443926 samples/sec accuracy=28.620536 loss=3.314121 lr=0.098256 Epoch[047] Batch [2499]/[3760] Speed: 163.771275 samples/sec accuracy=28.620625 loss=3.314885 lr=0.098253 Epoch[047] Batch [2549]/[3760] Speed: 165.372793 samples/sec accuracy=28.591912 loss=3.315885 lr=0.098249 Epoch[047] Batch [2599]/[3760] Speed: 162.039387 samples/sec accuracy=28.600962 loss=3.315663 lr=0.098246 Epoch[047] Batch [2649]/[3760] Speed: 167.042406 samples/sec accuracy=28.603184 loss=3.314961 lr=0.098242 Epoch[047] Batch [2699]/[3760] Speed: 164.302512 samples/sec accuracy=28.592014 loss=3.315211 lr=0.098239 Epoch[047] Batch [2749]/[3760] Speed: 165.466820 samples/sec accuracy=28.610227 loss=3.314019 lr=0.098236 Epoch[047] Batch [2799]/[3760] Speed: 163.932532 samples/sec accuracy=28.605469 loss=3.314870 lr=0.098232 Epoch[047] Batch [2849]/[3760] Speed: 164.453890 samples/sec accuracy=28.619518 loss=3.314091 lr=0.098229 Epoch[047] Batch [2899]/[3760] Speed: 164.590502 samples/sec accuracy=28.628772 loss=3.314377 lr=0.098225 Epoch[047] Batch [2949]/[3760] Speed: 164.773608 samples/sec accuracy=28.631356 loss=3.313909 lr=0.098222 Epoch[047] Batch [2999]/[3760] Speed: 162.794872 samples/sec accuracy=28.625000 loss=3.314044 lr=0.098219 Epoch[047] Batch [3049]/[3760] Speed: 165.839692 samples/sec accuracy=28.619877 loss=3.313753 lr=0.098215 Epoch[047] Batch [3099]/[3760] Speed: 163.812843 samples/sec accuracy=28.612903 loss=3.314136 lr=0.098212 Epoch[047] Batch [3149]/[3760] Speed: 164.132493 samples/sec accuracy=28.626488 loss=3.313569 lr=0.098208 Epoch[047] Batch [3199]/[3760] Speed: 165.150210 samples/sec accuracy=28.610840 loss=3.313707 lr=0.098205 Epoch[047] Batch [3249]/[3760] Speed: 162.678598 samples/sec accuracy=28.597115 loss=3.314280 lr=0.098202 Epoch[047] Batch [3299]/[3760] Speed: 165.048907 samples/sec accuracy=28.582386 loss=3.314236 lr=0.098198 Epoch[047] Batch [3349]/[3760] Speed: 164.864557 samples/sec accuracy=28.576026 loss=3.314117 lr=0.098195 Epoch[047] Batch [3399]/[3760] Speed: 164.361187 samples/sec accuracy=28.575368 loss=3.314043 lr=0.098191 Epoch[047] Batch [3449]/[3760] Speed: 162.584899 samples/sec accuracy=28.582428 loss=3.314061 lr=0.098188 Epoch[047] Batch [3499]/[3760] Speed: 164.297864 samples/sec accuracy=28.575446 loss=3.313784 lr=0.098184 Epoch[047] Batch [3549]/[3760] Speed: 164.956258 samples/sec accuracy=28.566021 loss=3.313946 lr=0.098181 Epoch[047] Batch [3599]/[3760] Speed: 163.761128 samples/sec accuracy=28.573351 loss=3.313645 lr=0.098177 Epoch[047] Batch [3649]/[3760] Speed: 164.943138 samples/sec accuracy=28.588613 loss=3.313795 lr=0.098174 Epoch[047] Batch [3699]/[3760] Speed: 163.847300 samples/sec accuracy=28.581926 loss=3.314619 lr=0.098171 Epoch[047] Batch [3749]/[3760] Speed: 175.800531 samples/sec accuracy=28.563750 loss=3.315168 lr=0.098167 Batch [0049]/[0303]: acc-top1=23.531250 acc-top5=49.875000 Batch [0099]/[0303]: acc-top1=22.781250 acc-top5=48.015625 Batch [0149]/[0303]: acc-top1=25.416667 acc-top5=51.302083 Batch [0199]/[0303]: acc-top1=27.828125 acc-top5=53.492188 Batch [0249]/[0303]: acc-top1=27.562500 acc-top5=53.806250 Batch [0299]/[0303]: acc-top1=27.437500 acc-top5=53.765625 [Epoch 047] training: accuracy=28.556765 loss=3.315460 [Epoch 047] speed: 163 samples/sec time cost: 1590.819464 [Epoch 047] validation: acc-top1=27.392739 acc-top5=53.733498 loss=3.554373 Epoch[048] Batch [0049]/[3760] Speed: 115.078191 samples/sec accuracy=28.500000 loss=3.352834 lr=0.098163 Epoch[048] Batch [0099]/[3760] Speed: 161.037231 samples/sec accuracy=28.984375 loss=3.315279 lr=0.098159 Epoch[048] Batch [0149]/[3760] Speed: 164.756094 samples/sec accuracy=29.145833 loss=3.321972 lr=0.098156 Epoch[048] Batch [0199]/[3760] Speed: 162.329863 samples/sec accuracy=29.062500 loss=3.317808 lr=0.098153 Epoch[048] Batch [0249]/[3760] Speed: 163.885635 samples/sec accuracy=29.343750 loss=3.298497 lr=0.098149 Epoch[048] Batch [0299]/[3760] Speed: 163.104685 samples/sec accuracy=29.406250 loss=3.292547 lr=0.098146 Epoch[048] Batch [0349]/[3760] Speed: 161.904701 samples/sec accuracy=29.276786 loss=3.293019 lr=0.098142 Epoch[048] Batch [0399]/[3760] Speed: 164.759663 samples/sec accuracy=29.179688 loss=3.290460 lr=0.098139 Epoch[048] Batch [0449]/[3760] Speed: 163.436691 samples/sec accuracy=29.041667 loss=3.293730 lr=0.098135 Epoch[048] Batch [0499]/[3760] Speed: 163.835572 samples/sec accuracy=29.065625 loss=3.297921 lr=0.098132 Epoch[048] Batch [0549]/[3760] Speed: 164.291911 samples/sec accuracy=28.985795 loss=3.297542 lr=0.098128 Epoch[048] Batch [0599]/[3760] Speed: 163.877152 samples/sec accuracy=29.002604 loss=3.296919 lr=0.098125 Epoch[048] Batch [0649]/[3760] Speed: 163.017846 samples/sec accuracy=28.968750 loss=3.297838 lr=0.098121 Epoch[048] Batch [0699]/[3760] Speed: 162.890327 samples/sec accuracy=28.988839 loss=3.296761 lr=0.098118 Epoch[048] Batch [0749]/[3760] Speed: 161.197192 samples/sec accuracy=28.958333 loss=3.293604 lr=0.098114 Epoch[048] Batch [0799]/[3760] Speed: 163.999068 samples/sec accuracy=28.853516 loss=3.295798 lr=0.098111 Epoch[048] Batch [0849]/[3760] Speed: 164.309198 samples/sec accuracy=28.830882 loss=3.297368 lr=0.098107 Epoch[048] Batch [0899]/[3760] Speed: 164.361082 samples/sec accuracy=28.861111 loss=3.295221 lr=0.098104 Epoch[048] Batch [0949]/[3760] Speed: 164.725747 samples/sec accuracy=28.759868 loss=3.298528 lr=0.098100 Epoch[048] Batch [0999]/[3760] Speed: 164.428490 samples/sec accuracy=28.753125 loss=3.300021 lr=0.098097 Epoch[048] Batch [1049]/[3760] Speed: 164.043514 samples/sec accuracy=28.727679 loss=3.301166 lr=0.098093 Epoch[048] Batch [1099]/[3760] Speed: 164.193099 samples/sec accuracy=28.684659 loss=3.303850 lr=0.098089 Epoch[048] Batch [1149]/[3760] Speed: 164.903564 samples/sec accuracy=28.756793 loss=3.300887 lr=0.098086 Epoch[048] Batch [1199]/[3760] Speed: 164.467849 samples/sec accuracy=28.748698 loss=3.301101 lr=0.098082 Epoch[048] Batch [1249]/[3760] Speed: 163.007640 samples/sec accuracy=28.757500 loss=3.299531 lr=0.098079 Epoch[048] Batch [1299]/[3760] Speed: 165.049148 samples/sec accuracy=28.716346 loss=3.302273 lr=0.098075 Epoch[048] Batch [1349]/[3760] Speed: 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loss=3.300971 lr=0.098040 Epoch[048] Batch [1849]/[3760] Speed: 164.614126 samples/sec accuracy=28.782095 loss=3.298554 lr=0.098036 Epoch[048] Batch [1899]/[3760] Speed: 161.035416 samples/sec accuracy=28.788651 loss=3.299206 lr=0.098033 Epoch[048] Batch [1949]/[3760] Speed: 164.177058 samples/sec accuracy=28.778045 loss=3.299158 lr=0.098029 Epoch[048] Batch [1999]/[3760] Speed: 162.435217 samples/sec accuracy=28.782812 loss=3.297393 lr=0.098025 Epoch[048] Batch [2049]/[3760] Speed: 163.839774 samples/sec accuracy=28.787348 loss=3.296633 lr=0.098022 Epoch[048] Batch [2099]/[3760] Speed: 164.237530 samples/sec accuracy=28.809524 loss=3.297198 lr=0.098018 Epoch[048] Batch [2149]/[3760] Speed: 163.571529 samples/sec accuracy=28.813953 loss=3.297385 lr=0.098015 Epoch[048] Batch [2199]/[3760] Speed: 164.711531 samples/sec accuracy=28.833807 loss=3.297113 lr=0.098011 Epoch[048] Batch [2249]/[3760] Speed: 162.894965 samples/sec accuracy=28.822917 loss=3.296521 lr=0.098007 Epoch[048] Batch 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accuracy=28.769318 loss=3.300883 lr=0.097971 Epoch[048] Batch [2799]/[3760] Speed: 162.920941 samples/sec accuracy=28.759487 loss=3.301180 lr=0.097968 Epoch[048] Batch [2849]/[3760] Speed: 162.985237 samples/sec accuracy=28.758224 loss=3.301319 lr=0.097964 Epoch[048] Batch [2899]/[3760] Speed: 163.088233 samples/sec accuracy=28.763470 loss=3.301264 lr=0.097960 Epoch[048] Batch [2949]/[3760] Speed: 160.282765 samples/sec accuracy=28.718750 loss=3.302799 lr=0.097957 Epoch[048] Batch [2999]/[3760] Speed: 164.186638 samples/sec accuracy=28.715104 loss=3.302577 lr=0.097953 Epoch[048] Batch [3049]/[3760] Speed: 162.868272 samples/sec accuracy=28.695184 loss=3.303731 lr=0.097949 Epoch[048] Batch [3099]/[3760] Speed: 164.184981 samples/sec accuracy=28.685484 loss=3.304172 lr=0.097946 Epoch[048] Batch [3149]/[3760] Speed: 164.294067 samples/sec accuracy=28.699901 loss=3.303372 lr=0.097942 Epoch[048] Batch [3199]/[3760] Speed: 161.212543 samples/sec accuracy=28.699707 loss=3.303603 lr=0.097938 Epoch[048] Batch [3249]/[3760] Speed: 164.111648 samples/sec accuracy=28.709135 loss=3.303263 lr=0.097935 Epoch[048] Batch [3299]/[3760] Speed: 161.404597 samples/sec accuracy=28.704072 loss=3.304269 lr=0.097931 Epoch[048] Batch [3349]/[3760] Speed: 162.789408 samples/sec accuracy=28.703358 loss=3.304931 lr=0.097927 Epoch[048] Batch [3399]/[3760] Speed: 163.905582 samples/sec accuracy=28.719210 loss=3.304065 lr=0.097924 Epoch[048] Batch [3449]/[3760] Speed: 163.982842 samples/sec accuracy=28.722826 loss=3.304223 lr=0.097920 Epoch[048] Batch [3499]/[3760] Speed: 162.878583 samples/sec accuracy=28.729018 loss=3.304074 lr=0.097916 Epoch[048] Batch [3549]/[3760] Speed: 165.889794 samples/sec accuracy=28.728433 loss=3.304232 lr=0.097913 Epoch[048] Batch [3599]/[3760] Speed: 161.785217 samples/sec accuracy=28.726128 loss=3.304384 lr=0.097909 Epoch[048] Batch [3649]/[3760] Speed: 164.602490 samples/sec accuracy=28.708476 loss=3.304962 lr=0.097905 Epoch[048] Batch [3699]/[3760] Speed: 163.318797 samples/sec accuracy=28.691723 loss=3.304932 lr=0.097902 Epoch[048] Batch [3749]/[3760] Speed: 174.581130 samples/sec accuracy=28.692917 loss=3.305229 lr=0.097898 Batch [0049]/[0303]: acc-top1=26.937500 acc-top5=52.312500 Batch [0099]/[0303]: acc-top1=25.828125 acc-top5=51.937500 Batch [0149]/[0303]: acc-top1=27.197917 acc-top5=52.885417 Batch [0199]/[0303]: acc-top1=30.015625 acc-top5=55.554688 Batch [0249]/[0303]: acc-top1=29.837500 acc-top5=55.893750 Batch [0299]/[0303]: acc-top1=29.119792 acc-top5=56.015625 [Epoch 048] training: accuracy=28.695562 loss=3.305177 [Epoch 048] speed: 162 samples/sec time cost: 1594.681873 [Epoch 048] validation: acc-top1=29.238861 acc-top5=56.110767 loss=3.360495 Epoch[049] Batch [0049]/[3759] Speed: 116.288772 samples/sec accuracy=28.687500 loss=3.265109 lr=0.097893 Epoch[049] Batch [0099]/[3759] Speed: 163.985525 samples/sec accuracy=29.171875 loss=3.274008 lr=0.097890 Epoch[049] Batch [0149]/[3759] Speed: 164.012772 samples/sec accuracy=30.020833 loss=3.241123 lr=0.097886 Epoch[049] Batch [0199]/[3759] Speed: 164.798031 samples/sec accuracy=29.664062 loss=3.267979 lr=0.097882 Epoch[049] Batch [0249]/[3759] Speed: 164.628297 samples/sec accuracy=29.437500 loss=3.276955 lr=0.097879 Epoch[049] Batch [0299]/[3759] Speed: 164.469024 samples/sec accuracy=29.458333 loss=3.276566 lr=0.097875 Epoch[049] Batch [0349]/[3759] Speed: 164.109794 samples/sec accuracy=29.191964 loss=3.283031 lr=0.097871 Epoch[049] Batch [0399]/[3759] Speed: 164.201164 samples/sec accuracy=29.085937 loss=3.282683 lr=0.097867 Epoch[049] Batch [0449]/[3759] Speed: 163.657310 samples/sec accuracy=29.114583 loss=3.281792 lr=0.097864 Epoch[049] Batch [0499]/[3759] Speed: 162.552945 samples/sec accuracy=28.956250 loss=3.285877 lr=0.097860 Epoch[049] Batch [0549]/[3759] Speed: 163.054025 samples/sec accuracy=28.872159 loss=3.291871 lr=0.097856 Epoch[049] Batch [0599]/[3759] Speed: 165.686220 samples/sec accuracy=28.747396 loss=3.295990 lr=0.097852 Epoch[049] Batch [0649]/[3759] Speed: 161.717094 samples/sec accuracy=28.615385 loss=3.300102 lr=0.097849 Epoch[049] Batch [0699]/[3759] Speed: 164.166676 samples/sec accuracy=28.645089 loss=3.298602 lr=0.097845 Epoch[049] Batch [0749]/[3759] Speed: 163.309638 samples/sec accuracy=28.720833 loss=3.298583 lr=0.097841 Epoch[049] Batch [0799]/[3759] Speed: 163.321315 samples/sec accuracy=28.648438 loss=3.302006 lr=0.097837 Epoch[049] Batch [0849]/[3759] Speed: 163.474254 samples/sec accuracy=28.659926 loss=3.300825 lr=0.097834 Epoch[049] Batch [0899]/[3759] Speed: 165.160654 samples/sec accuracy=28.736111 loss=3.298058 lr=0.097830 Epoch[049] Batch [0949]/[3759] Speed: 163.740730 samples/sec accuracy=28.672697 loss=3.300308 lr=0.097826 Epoch[049] Batch [0999]/[3759] Speed: 163.665277 samples/sec accuracy=28.692187 loss=3.301051 lr=0.097822 Epoch[049] Batch [1049]/[3759] Speed: 164.318930 samples/sec accuracy=28.712798 loss=3.297594 lr=0.097819 Epoch[049] Batch [1099]/[3759] Speed: 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accuracy=28.671250 loss=3.299339 lr=0.097708 Epoch[049] Batch [2549]/[3759] Speed: 166.418475 samples/sec accuracy=28.674632 loss=3.299727 lr=0.097704 Epoch[049] Batch [2599]/[3759] Speed: 163.178319 samples/sec accuracy=28.676683 loss=3.300370 lr=0.097700 Epoch[049] Batch [2649]/[3759] Speed: 163.562104 samples/sec accuracy=28.667453 loss=3.300960 lr=0.097696 Epoch[049] Batch [2699]/[3759] Speed: 164.925192 samples/sec accuracy=28.677083 loss=3.300852 lr=0.097693 Epoch[049] Batch [2749]/[3759] Speed: 164.375056 samples/sec accuracy=28.684091 loss=3.301204 lr=0.097689 Epoch[049] Batch [2799]/[3759] Speed: 163.332952 samples/sec accuracy=28.686384 loss=3.300542 lr=0.097685 Epoch[049] Batch [2849]/[3759] Speed: 163.985796 samples/sec accuracy=28.696272 loss=3.299952 lr=0.097681 Epoch[049] Batch [2899]/[3759] Speed: 163.269716 samples/sec accuracy=28.694504 loss=3.300410 lr=0.097677 Epoch[049] Batch [2949]/[3759] Speed: 162.605648 samples/sec accuracy=28.695445 loss=3.300173 lr=0.097673 Epoch[049] Batch [2999]/[3759] Speed: 165.272498 samples/sec accuracy=28.688542 loss=3.300564 lr=0.097669 Epoch[049] Batch [3049]/[3759] Speed: 163.268038 samples/sec accuracy=28.717725 loss=3.300617 lr=0.097665 Epoch[049] Batch [3099]/[3759] Speed: 165.023557 samples/sec accuracy=28.711190 loss=3.300869 lr=0.097662 Epoch[049] Batch [3149]/[3759] Speed: 166.943567 samples/sec accuracy=28.691964 loss=3.301489 lr=0.097658 Epoch[049] Batch [3199]/[3759] Speed: 164.713440 samples/sec accuracy=28.701660 loss=3.302091 lr=0.097654 Epoch[049] Batch [3249]/[3759] Speed: 164.295465 samples/sec accuracy=28.710577 loss=3.302014 lr=0.097650 Epoch[049] Batch [3299]/[3759] Speed: 164.102935 samples/sec accuracy=28.706913 loss=3.302393 lr=0.097646 Epoch[049] Batch [3349]/[3759] Speed: 163.898903 samples/sec accuracy=28.698694 loss=3.301987 lr=0.097642 Epoch[049] Batch [3399]/[3759] Speed: 162.639769 samples/sec accuracy=28.709559 loss=3.300712 lr=0.097638 Epoch[049] Batch [3449]/[3759] Speed: 161.701675 samples/sec accuracy=28.704710 loss=3.301414 lr=0.097634 Epoch[049] Batch [3499]/[3759] Speed: 163.484603 samples/sec accuracy=28.704464 loss=3.301873 lr=0.097630 Epoch[049] Batch [3549]/[3759] Speed: 165.390320 samples/sec accuracy=28.702025 loss=3.301536 lr=0.097626 Epoch[049] Batch [3599]/[3759] Speed: 164.615098 samples/sec accuracy=28.699653 loss=3.302563 lr=0.097622 Epoch[049] Batch [3649]/[3759] Speed: 165.202076 samples/sec accuracy=28.689640 loss=3.303404 lr=0.097618 Epoch[049] Batch [3699]/[3759] Speed: 162.292574 samples/sec accuracy=28.701858 loss=3.302540 lr=0.097615 Epoch[049] Batch [3749]/[3759] Speed: 176.317787 samples/sec accuracy=28.713333 loss=3.302594 lr=0.097611 Batch [0049]/[0303]: acc-top1=27.750000 acc-top5=55.250000 Batch [0099]/[0303]: acc-top1=26.500000 acc-top5=54.281250 Batch [0149]/[0303]: acc-top1=28.187500 acc-top5=55.343750 Batch [0199]/[0303]: acc-top1=30.648437 acc-top5=57.062500 Batch [0249]/[0303]: acc-top1=29.937500 acc-top5=56.637500 Batch [0299]/[0303]: acc-top1=29.473958 acc-top5=56.885417 [Epoch 049] training: accuracy=28.704027 loss=3.302741 [Epoch 049] speed: 163 samples/sec time cost: 1590.767067 [Epoch 049] validation: acc-top1=29.532797 acc-top5=56.946163 loss=3.365465 Epoch[050] Batch [0049]/[3760] Speed: 117.112412 samples/sec accuracy=28.718750 loss=3.250238 lr=0.097606 Epoch[050] Batch [0099]/[3760] Speed: 162.845035 samples/sec accuracy=28.578125 loss=3.256551 lr=0.097602 Epoch[050] Batch [0149]/[3760] Speed: 163.285878 samples/sec accuracy=28.333333 loss=3.275838 lr=0.097598 Epoch[050] Batch [0199]/[3760] Speed: 165.709872 samples/sec accuracy=28.476563 loss=3.280166 lr=0.097594 Epoch[050] Batch [0249]/[3760] Speed: 161.893581 samples/sec accuracy=28.956250 loss=3.270961 lr=0.097590 Epoch[050] Batch [0299]/[3760] Speed: 163.427784 samples/sec accuracy=29.078125 loss=3.265624 lr=0.097586 Epoch[050] Batch [0349]/[3760] Speed: 165.535086 samples/sec accuracy=28.812500 loss=3.275521 lr=0.097582 Epoch[050] Batch [0399]/[3760] Speed: 162.453621 samples/sec accuracy=28.949219 loss=3.271796 lr=0.097578 Epoch[050] Batch [0449]/[3760] Speed: 163.153183 samples/sec accuracy=28.940972 loss=3.283001 lr=0.097574 Epoch[050] Batch [0499]/[3760] Speed: 164.661672 samples/sec accuracy=28.906250 loss=3.283967 lr=0.097570 Epoch[050] Batch [0549]/[3760] Speed: 162.862523 samples/sec accuracy=28.988636 loss=3.279830 lr=0.097566 Epoch[050] Batch [0599]/[3760] Speed: 164.389293 samples/sec accuracy=29.036458 loss=3.279107 lr=0.097562 Epoch[050] Batch [0649]/[3760] Speed: 161.280654 samples/sec accuracy=29.036058 loss=3.277051 lr=0.097558 Epoch[050] Batch [0699]/[3760] Speed: 163.872314 samples/sec accuracy=29.087054 loss=3.273868 lr=0.097554 Epoch[050] Batch [0749]/[3760] Speed: 162.566380 samples/sec accuracy=29.058333 loss=3.275929 lr=0.097550 Epoch[050] Batch [0799]/[3760] Speed: 164.847072 samples/sec accuracy=29.154297 loss=3.275693 lr=0.097546 Epoch[050] Batch [0849]/[3760] Speed: 163.868049 samples/sec accuracy=29.185662 loss=3.275905 lr=0.097542 Epoch[050] Batch [0899]/[3760] Speed: 165.907778 samples/sec accuracy=29.215278 loss=3.276020 lr=0.097538 Epoch[050] Batch [0949]/[3760] Speed: 163.374604 samples/sec accuracy=29.182566 loss=3.274387 lr=0.097534 Epoch[050] Batch [0999]/[3760] Speed: 162.813334 samples/sec accuracy=29.198438 loss=3.274128 lr=0.097530 Epoch[050] Batch [1049]/[3760] Speed: 164.807352 samples/sec accuracy=29.153274 loss=3.279018 lr=0.097526 Epoch[050] Batch [1099]/[3760] Speed: 163.610426 samples/sec accuracy=29.176136 loss=3.279494 lr=0.097522 Epoch[050] Batch [1149]/[3760] Speed: 165.001395 samples/sec accuracy=29.169837 loss=3.277965 lr=0.097518 Epoch[050] Batch [1199]/[3760] Speed: 163.873077 samples/sec accuracy=29.148438 loss=3.278620 lr=0.097514 Epoch[050] Batch [1249]/[3760] Speed: 163.545028 samples/sec accuracy=29.206250 loss=3.275060 lr=0.097510 Epoch[050] Batch [1299]/[3760] Speed: 163.637957 samples/sec accuracy=29.204327 loss=3.274922 lr=0.097506 Epoch[050] Batch [1349]/[3760] Speed: 163.606563 samples/sec accuracy=29.208333 loss=3.276313 lr=0.097502 Epoch[050] Batch [1399]/[3760] Speed: 163.575998 samples/sec accuracy=29.199777 loss=3.277110 lr=0.097498 Epoch[050] Batch [1449]/[3760] Speed: 163.851749 samples/sec accuracy=29.131466 loss=3.279774 lr=0.097494 Epoch[050] Batch [1499]/[3760] Speed: 164.614441 samples/sec accuracy=29.117708 loss=3.281262 lr=0.097490 Epoch[050] Batch [1549]/[3760] Speed: 162.504854 samples/sec accuracy=29.103831 loss=3.282328 lr=0.097486 Epoch[050] Batch [1599]/[3760] Speed: 164.910764 samples/sec accuracy=29.072266 loss=3.283202 lr=0.097482 Epoch[050] Batch [1649]/[3760] Speed: 164.820754 samples/sec accuracy=29.075758 loss=3.283147 lr=0.097478 Epoch[050] Batch [1699]/[3760] Speed: 166.370631 samples/sec accuracy=29.095588 loss=3.283186 lr=0.097474 Epoch[050] Batch [1749]/[3760] Speed: 161.903766 samples/sec accuracy=29.111607 loss=3.282800 lr=0.097470 Epoch[050] Batch [1799]/[3760] Speed: 163.654111 samples/sec accuracy=29.104167 loss=3.281697 lr=0.097466 Epoch[050] Batch [1849]/[3760] Speed: 163.012287 samples/sec accuracy=29.104730 loss=3.281617 lr=0.097462 Epoch[050] Batch [1899]/[3760] Speed: 165.458761 samples/sec accuracy=29.112664 loss=3.280717 lr=0.097458 Epoch[050] Batch [1949]/[3760] Speed: 162.092433 samples/sec accuracy=29.123397 loss=3.279450 lr=0.097454 Epoch[050] Batch [1999]/[3760] Speed: 163.682579 samples/sec accuracy=29.115625 loss=3.280712 lr=0.097450 Epoch[050] Batch [2049]/[3760] Speed: 163.477868 samples/sec accuracy=29.132622 loss=3.281076 lr=0.097446 Epoch[050] Batch [2099]/[3760] Speed: 163.882261 samples/sec accuracy=29.133929 loss=3.281428 lr=0.097442 Epoch[050] Batch [2149]/[3760] Speed: 162.487590 samples/sec accuracy=29.161337 loss=3.280127 lr=0.097438 Epoch[050] Batch [2199]/[3760] Speed: 162.796896 samples/sec accuracy=29.144176 loss=3.282870 lr=0.097433 Epoch[050] Batch [2249]/[3760] Speed: 164.096328 samples/sec accuracy=29.150000 loss=3.282217 lr=0.097429 Epoch[050] Batch [2299]/[3760] Speed: 162.678077 samples/sec accuracy=29.154891 loss=3.282274 lr=0.097425 Epoch[050] Batch [2349]/[3760] Speed: 163.135768 samples/sec accuracy=29.144282 loss=3.282680 lr=0.097421 Epoch[050] Batch [2399]/[3760] Speed: 163.835772 samples/sec accuracy=29.106120 loss=3.284179 lr=0.097417 Epoch[050] Batch [2449]/[3760] Speed: 162.469426 samples/sec accuracy=29.113520 loss=3.283925 lr=0.097413 Epoch[050] Batch [2499]/[3760] Speed: 166.596149 samples/sec accuracy=29.107500 loss=3.283909 lr=0.097409 Epoch[050] Batch [2549]/[3760] Speed: 164.338291 samples/sec accuracy=29.128676 loss=3.283013 lr=0.097405 Epoch[050] Batch [2599]/[3760] Speed: 163.806673 samples/sec accuracy=29.099760 loss=3.283813 lr=0.097401 Epoch[050] Batch [2649]/[3760] Speed: 163.869001 samples/sec accuracy=29.097877 loss=3.283572 lr=0.097397 Epoch[050] Batch [2699]/[3760] Speed: 163.211345 samples/sec accuracy=29.109375 loss=3.281948 lr=0.097392 Epoch[050] Batch [2749]/[3760] Speed: 164.005818 samples/sec accuracy=29.114205 loss=3.282121 lr=0.097388 Epoch[050] Batch [2799]/[3760] Speed: 161.096318 samples/sec accuracy=29.098772 loss=3.282409 lr=0.097384 Epoch[050] Batch [2849]/[3760] Speed: 164.308309 samples/sec accuracy=29.078399 loss=3.283331 lr=0.097380 Epoch[050] Batch [2899]/[3760] Speed: 164.068035 samples/sec accuracy=29.079741 loss=3.283708 lr=0.097376 Epoch[050] Batch [2949]/[3760] Speed: 162.114363 samples/sec accuracy=29.069915 loss=3.284330 lr=0.097372 Epoch[050] Batch [2999]/[3760] Speed: 162.332733 samples/sec accuracy=29.058854 loss=3.285422 lr=0.097368 Epoch[050] Batch [3049]/[3760] Speed: 163.216704 samples/sec accuracy=29.043033 loss=3.285840 lr=0.097364 Epoch[050] Batch [3099]/[3760] Speed: 165.857987 samples/sec accuracy=29.069556 loss=3.285117 lr=0.097360 Epoch[050] Batch [3149]/[3760] Speed: 163.479190 samples/sec accuracy=29.060516 loss=3.285050 lr=0.097355 Epoch[050] Batch [3199]/[3760] Speed: 163.568847 samples/sec accuracy=29.060059 loss=3.286168 lr=0.097351 Epoch[050] Batch [3249]/[3760] Speed: 163.961158 samples/sec accuracy=29.051442 loss=3.286242 lr=0.097347 Epoch[050] Batch [3299]/[3760] Speed: 163.374297 samples/sec accuracy=29.039299 loss=3.286377 lr=0.097343 Epoch[050] Batch [3349]/[3760] Speed: 164.673826 samples/sec accuracy=29.046642 loss=3.286633 lr=0.097339 Epoch[050] Batch [3399]/[3760] Speed: 161.687505 samples/sec accuracy=29.035386 loss=3.286651 lr=0.097335 Epoch[050] Batch [3449]/[3760] Speed: 163.203834 samples/sec accuracy=29.037591 loss=3.286333 lr=0.097330 Epoch[050] Batch [3499]/[3760] Speed: 163.039140 samples/sec accuracy=29.024554 loss=3.287011 lr=0.097326 Epoch[050] Batch [3549]/[3760] Speed: 163.694322 samples/sec accuracy=29.022887 loss=3.286651 lr=0.097322 Epoch[050] Batch [3599]/[3760] Speed: 162.222208 samples/sec accuracy=29.020399 loss=3.287008 lr=0.097318 Epoch[050] Batch [3649]/[3760] Speed: 163.195755 samples/sec accuracy=29.000856 loss=3.288062 lr=0.097314 Epoch[050] Batch [3699]/[3760] Speed: 164.876585 samples/sec accuracy=28.996622 loss=3.288510 lr=0.097310 Epoch[050] Batch [3749]/[3760] Speed: 174.628396 samples/sec accuracy=28.978750 loss=3.288612 lr=0.097305 Batch [0049]/[0303]: acc-top1=27.281250 acc-top5=53.812500 Batch [0099]/[0303]: acc-top1=26.234375 acc-top5=51.828125 Batch [0149]/[0303]: acc-top1=27.187500 acc-top5=51.947917 Batch [0199]/[0303]: acc-top1=29.882812 acc-top5=54.953125 Batch [0249]/[0303]: acc-top1=28.400000 acc-top5=54.431250 Batch [0299]/[0303]: acc-top1=27.666667 acc-top5=54.296875 [Epoch 050] training: accuracy=28.972324 loss=3.289060 [Epoch 050] speed: 162 samples/sec time cost: 1593.172651 [Epoch 050] validation: acc-top1=27.671205 acc-top5=54.316213 loss=3.748797 Epoch[051] Batch [0049]/[3760] Speed: 114.570347 samples/sec accuracy=28.281250 loss=3.292917 lr=0.097300 Epoch[051] Batch [0099]/[3760] Speed: 161.781216 samples/sec accuracy=28.359375 loss=3.281122 lr=0.097296 Epoch[051] Batch [0149]/[3760] Speed: 163.455371 samples/sec accuracy=28.729167 loss=3.259848 lr=0.097292 Epoch[051] Batch [0199]/[3760] Speed: 163.166415 samples/sec accuracy=29.039062 loss=3.259618 lr=0.097288 Epoch[051] Batch [0249]/[3760] Speed: 165.245983 samples/sec accuracy=28.968750 loss=3.268605 lr=0.097284 Epoch[051] Batch [0299]/[3760] Speed: 162.758333 samples/sec accuracy=28.661458 loss=3.286130 lr=0.097280 Epoch[051] Batch [0349]/[3760] Speed: 162.911102 samples/sec accuracy=28.924107 loss=3.278930 lr=0.097275 Epoch[051] Batch [0399]/[3760] Speed: 163.863821 samples/sec accuracy=28.886719 loss=3.283097 lr=0.097271 Epoch[051] Batch [0449]/[3760] Speed: 163.305927 samples/sec accuracy=28.913194 loss=3.283975 lr=0.097267 Epoch[051] Batch [0499]/[3760] Speed: 164.582964 samples/sec accuracy=28.915625 loss=3.286793 lr=0.097263 Epoch[051] Batch [0549]/[3760] Speed: 163.319239 samples/sec accuracy=28.920455 loss=3.283667 lr=0.097259 Epoch[051] Batch [0599]/[3760] Speed: 163.456591 samples/sec accuracy=28.812500 loss=3.288781 lr=0.097254 Epoch[051] Batch [0649]/[3760] Speed: 162.656623 samples/sec accuracy=28.810096 loss=3.286880 lr=0.097250 Epoch[051] Batch [0699]/[3760] Speed: 164.720117 samples/sec accuracy=28.790179 loss=3.288307 lr=0.097246 Epoch[051] Batch [0749]/[3760] Speed: 163.388591 samples/sec accuracy=28.756250 loss=3.287893 lr=0.097242 Epoch[051] Batch [0799]/[3760] Speed: 161.830067 samples/sec accuracy=28.808594 loss=3.287107 lr=0.097237 Epoch[051] Batch [0849]/[3760] Speed: 163.817971 samples/sec accuracy=28.827206 loss=3.283378 lr=0.097233 Epoch[051] Batch [0899]/[3760] Speed: 163.274618 samples/sec accuracy=28.822917 loss=3.284745 lr=0.097229 Epoch[051] Batch [0949]/[3760] Speed: 164.189171 samples/sec accuracy=28.858553 loss=3.281486 lr=0.097225 Epoch[051] Batch [0999]/[3760] Speed: 162.873742 samples/sec accuracy=28.818750 loss=3.285269 lr=0.097220 Epoch[051] Batch [1049]/[3760] Speed: 163.396488 samples/sec accuracy=28.752976 loss=3.287412 lr=0.097216 Epoch[051] Batch [1099]/[3760] Speed: 162.949489 samples/sec accuracy=28.737216 loss=3.286555 lr=0.097212 Epoch[051] Batch [1149]/[3760] Speed: 166.142728 samples/sec accuracy=28.802989 loss=3.283706 lr=0.097208 Epoch[051] Batch [1199]/[3760] Speed: 163.160841 samples/sec accuracy=28.872396 loss=3.282271 lr=0.097203 Epoch[051] Batch [1249]/[3760] Speed: 164.688653 samples/sec accuracy=28.867500 loss=3.283563 lr=0.097199 Epoch[051] Batch [1299]/[3760] Speed: 163.177587 samples/sec accuracy=28.834135 loss=3.284070 lr=0.097195 Epoch[051] Batch [1349]/[3760] Speed: 163.865110 samples/sec accuracy=28.827546 loss=3.283607 lr=0.097191 Epoch[051] Batch [1399]/[3760] Speed: 164.417255 samples/sec accuracy=28.827009 loss=3.285066 lr=0.097186 Epoch[051] Batch [1449]/[3760] Speed: 162.594432 samples/sec accuracy=28.844828 loss=3.286353 lr=0.097182 Epoch[051] Batch [1499]/[3760] Speed: 164.862190 samples/sec accuracy=28.844792 loss=3.287728 lr=0.097178 Epoch[051] Batch [1549]/[3760] Speed: 162.784676 samples/sec accuracy=28.841734 loss=3.288180 lr=0.097174 Epoch[051] Batch [1599]/[3760] Speed: 165.256681 samples/sec accuracy=28.884766 loss=3.287097 lr=0.097169 Epoch[051] Batch [1649]/[3760] Speed: 163.678777 samples/sec accuracy=28.881629 loss=3.287021 lr=0.097165 Epoch[051] Batch [1699]/[3760] Speed: 163.715041 samples/sec accuracy=28.881434 loss=3.287040 lr=0.097161 Epoch[051] Batch [1749]/[3760] Speed: 163.128880 samples/sec accuracy=28.915179 loss=3.286168 lr=0.097157 Epoch[051] Batch [1799]/[3760] Speed: 164.355505 samples/sec accuracy=28.907118 loss=3.286392 lr=0.097152 Epoch[051] Batch [1849]/[3760] Speed: 163.694743 samples/sec accuracy=28.933277 loss=3.285451 lr=0.097148 Epoch[051] Batch [1899]/[3760] Speed: 162.972165 samples/sec accuracy=28.973684 loss=3.282599 lr=0.097144 Epoch[051] Batch [1949]/[3760] Speed: 165.147256 samples/sec accuracy=28.987981 loss=3.282713 lr=0.097139 Epoch[051] Batch [1999]/[3760] Speed: 162.253865 samples/sec accuracy=29.025781 loss=3.281007 lr=0.097135 Epoch[051] Batch [2049]/[3760] Speed: 163.641357 samples/sec accuracy=28.986280 loss=3.283424 lr=0.097131 Epoch[051] Batch [2099]/[3760] Speed: 162.107149 samples/sec accuracy=28.971726 loss=3.283982 lr=0.097126 Epoch[051] Batch [2149]/[3760] Speed: 165.684015 samples/sec accuracy=28.986919 loss=3.283165 lr=0.097122 Epoch[051] Batch [2199]/[3760] Speed: 162.788502 samples/sec accuracy=28.991477 loss=3.282669 lr=0.097118 Epoch[051] Batch [2249]/[3760] Speed: 163.993882 samples/sec accuracy=28.945139 loss=3.284687 lr=0.097113 Epoch[051] Batch [2299]/[3760] Speed: 162.815945 samples/sec accuracy=28.933424 loss=3.285077 lr=0.097109 Epoch[051] Batch [2349]/[3760] Speed: 165.625564 samples/sec accuracy=28.908910 loss=3.286202 lr=0.097105 Epoch[051] Batch [2399]/[3760] Speed: 163.820164 samples/sec accuracy=28.912109 loss=3.286073 lr=0.097101 Epoch[051] Batch [2449]/[3760] Speed: 163.244478 samples/sec accuracy=28.876913 loss=3.287780 lr=0.097096 Epoch[051] Batch [2499]/[3760] Speed: 163.861129 samples/sec accuracy=28.883125 loss=3.287324 lr=0.097092 Epoch[051] Batch [2549]/[3760] Speed: 161.817928 samples/sec accuracy=28.859069 loss=3.288235 lr=0.097088 Epoch[051] Batch [2599]/[3760] Speed: 163.972100 samples/sec accuracy=28.841947 loss=3.289213 lr=0.097083 Epoch[051] Batch [2649]/[3760] Speed: 164.510751 samples/sec accuracy=28.844929 loss=3.289146 lr=0.097079 Epoch[051] Batch [2699]/[3760] Speed: 162.573305 samples/sec accuracy=28.866898 loss=3.288858 lr=0.097074 Epoch[051] Batch [2749]/[3760] Speed: 162.401716 samples/sec accuracy=28.869318 loss=3.288811 lr=0.097070 Epoch[051] Batch [2799]/[3760] Speed: 164.875473 samples/sec accuracy=28.886719 loss=3.288280 lr=0.097066 Epoch[051] Batch [2849]/[3760] Speed: 164.096922 samples/sec accuracy=28.872259 loss=3.289036 lr=0.097061 Epoch[051] Batch [2899]/[3760] Speed: 164.437757 samples/sec accuracy=28.858836 loss=3.289286 lr=0.097057 Epoch[051] Batch [2949]/[3760] Speed: 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loss=3.289656 lr=0.097013 Epoch[051] Batch [3449]/[3760] Speed: 164.742462 samples/sec accuracy=28.880888 loss=3.290349 lr=0.097009 Epoch[051] Batch [3499]/[3760] Speed: 164.243584 samples/sec accuracy=28.848214 loss=3.291837 lr=0.097005 Epoch[051] Batch [3549]/[3760] Speed: 162.812467 samples/sec accuracy=28.852993 loss=3.291996 lr=0.097000 Epoch[051] Batch [3599]/[3760] Speed: 164.830761 samples/sec accuracy=28.834201 loss=3.292465 lr=0.096996 Epoch[051] Batch [3649]/[3760] Speed: 161.241101 samples/sec accuracy=28.820205 loss=3.292214 lr=0.096991 Epoch[051] Batch [3699]/[3760] Speed: 162.538602 samples/sec accuracy=28.836149 loss=3.291920 lr=0.096987 Epoch[051] Batch [3749]/[3760] Speed: 177.733381 samples/sec accuracy=28.840417 loss=3.291910 lr=0.096983 Batch [0049]/[0303]: acc-top1=30.031250 acc-top5=56.406250 Batch [0099]/[0303]: acc-top1=27.937500 acc-top5=54.046875 Batch [0149]/[0303]: acc-top1=29.927083 acc-top5=55.322917 Batch [0199]/[0303]: acc-top1=31.554688 acc-top5=56.710938 Batch [0249]/[0303]: acc-top1=30.656250 acc-top5=56.456250 Batch [0299]/[0303]: acc-top1=29.864583 acc-top5=56.229167 [Epoch 051] training: accuracy=28.835605 loss=3.292015 [Epoch 051] speed: 162 samples/sec time cost: 1593.901984 [Epoch 051] validation: acc-top1=29.790635 acc-top5=56.198432 loss=3.439656 Epoch[052] Batch [0049]/[3759] Speed: 113.832454 samples/sec accuracy=29.656250 loss=3.213999 lr=0.096977 Epoch[052] Batch [0099]/[3759] Speed: 164.186529 samples/sec accuracy=29.234375 loss=3.265713 lr=0.096973 Epoch[052] Batch [0149]/[3759] Speed: 163.652942 samples/sec accuracy=29.104167 loss=3.281249 lr=0.096968 Epoch[052] Batch [0199]/[3759] Speed: 163.936893 samples/sec accuracy=29.156250 loss=3.284614 lr=0.096964 Epoch[052] Batch [0249]/[3759] Speed: 164.507767 samples/sec accuracy=29.043750 loss=3.286908 lr=0.096960 Epoch[052] Batch [0299]/[3759] Speed: 162.475842 samples/sec accuracy=29.171875 loss=3.278677 lr=0.096955 Epoch[052] Batch [0349]/[3759] Speed: 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loss=3.285084 lr=0.096911 Epoch[052] Batch [0849]/[3759] Speed: 163.875372 samples/sec accuracy=28.891544 loss=3.288412 lr=0.096906 Epoch[052] Batch [0899]/[3759] Speed: 164.453811 samples/sec accuracy=28.895833 loss=3.286521 lr=0.096902 Epoch[052] Batch [0949]/[3759] Speed: 162.323710 samples/sec accuracy=28.944079 loss=3.283371 lr=0.096897 Epoch[052] Batch [0999]/[3759] Speed: 165.820961 samples/sec accuracy=28.953125 loss=3.281709 lr=0.096893 Epoch[052] Batch [1049]/[3759] Speed: 163.520492 samples/sec accuracy=28.892857 loss=3.283414 lr=0.096888 Epoch[052] Batch [1099]/[3759] Speed: 163.329390 samples/sec accuracy=28.879261 loss=3.285295 lr=0.096884 Epoch[052] Batch [1149]/[3759] Speed: 163.818599 samples/sec accuracy=28.902174 loss=3.284813 lr=0.096879 Epoch[052] Batch [1199]/[3759] Speed: 164.734972 samples/sec accuracy=28.865885 loss=3.286000 lr=0.096875 Epoch[052] Batch [1249]/[3759] Speed: 162.783663 samples/sec accuracy=28.946250 loss=3.283783 lr=0.096870 Epoch[052] Batch 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accuracy=28.929464 loss=3.285940 lr=0.096825 Epoch[052] Batch [1799]/[3759] Speed: 163.482458 samples/sec accuracy=28.938368 loss=3.285522 lr=0.096821 Epoch[052] Batch [1849]/[3759] Speed: 163.293966 samples/sec accuracy=28.938345 loss=3.285267 lr=0.096816 Epoch[052] Batch [1899]/[3759] Speed: 164.693279 samples/sec accuracy=28.938322 loss=3.286532 lr=0.096812 Epoch[052] Batch [1949]/[3759] Speed: 163.101656 samples/sec accuracy=28.923878 loss=3.285310 lr=0.096807 Epoch[052] Batch [1999]/[3759] Speed: 163.640340 samples/sec accuracy=28.924219 loss=3.285280 lr=0.096803 Epoch[052] Batch [2049]/[3759] Speed: 163.447765 samples/sec accuracy=28.919207 loss=3.284795 lr=0.096798 Epoch[052] Batch [2099]/[3759] Speed: 163.784267 samples/sec accuracy=28.927083 loss=3.285215 lr=0.096794 Epoch[052] Batch [2149]/[3759] Speed: 164.206211 samples/sec accuracy=28.937500 loss=3.285127 lr=0.096789 Epoch[052] Batch [2199]/[3759] Speed: 164.725508 samples/sec accuracy=28.973722 loss=3.283936 lr=0.096784 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loss=3.284749 lr=0.096697 Epoch[052] Batch [3199]/[3759] Speed: 164.344346 samples/sec accuracy=29.008789 loss=3.283306 lr=0.096693 Epoch[052] Batch [3249]/[3759] Speed: 163.742252 samples/sec accuracy=29.006250 loss=3.283509 lr=0.096688 Epoch[052] Batch [3299]/[3759] Speed: 162.847240 samples/sec accuracy=28.992424 loss=3.284172 lr=0.096684 Epoch[052] Batch [3349]/[3759] Speed: 165.042915 samples/sec accuracy=29.011660 loss=3.283794 lr=0.096679 Epoch[052] Batch [3399]/[3759] Speed: 163.716072 samples/sec accuracy=29.025735 loss=3.282416 lr=0.096674 Epoch[052] Batch [3449]/[3759] Speed: 164.757600 samples/sec accuracy=29.026721 loss=3.281987 lr=0.096670 Epoch[052] Batch [3499]/[3759] Speed: 164.848320 samples/sec accuracy=29.025446 loss=3.282043 lr=0.096665 Epoch[052] Batch [3549]/[3759] Speed: 164.222963 samples/sec accuracy=29.025528 loss=3.282707 lr=0.096660 Epoch[052] Batch [3599]/[3759] Speed: 162.899700 samples/sec accuracy=29.031684 loss=3.282706 lr=0.096656 Epoch[052] Batch [3649]/[3759] Speed: 164.124774 samples/sec accuracy=29.027397 loss=3.283536 lr=0.096651 Epoch[052] Batch [3699]/[3759] Speed: 163.012057 samples/sec accuracy=29.031250 loss=3.283186 lr=0.096646 Epoch[052] Batch [3749]/[3759] Speed: 175.650677 samples/sec accuracy=29.029583 loss=3.283387 lr=0.096642 Batch [0049]/[0303]: acc-top1=28.156250 acc-top5=53.468750 Batch [0099]/[0303]: acc-top1=26.875000 acc-top5=52.171875 Batch [0149]/[0303]: acc-top1=28.593750 acc-top5=53.791667 Batch [0199]/[0303]: acc-top1=31.078125 acc-top5=56.304687 Batch [0249]/[0303]: acc-top1=30.181250 acc-top5=56.268750 Batch [0299]/[0303]: acc-top1=29.682292 acc-top5=56.239583 [Epoch 052] training: accuracy=29.026586 loss=3.283356 [Epoch 052] speed: 162 samples/sec time cost: 1592.254534 [Epoch 052] validation: acc-top1=29.641089 acc-top5=56.182962 loss=3.412948 Epoch[053] Batch [0049]/[3760] Speed: 115.543991 samples/sec accuracy=30.062500 loss=3.230488 lr=0.096636 Epoch[053] Batch [0099]/[3760] Speed: 162.347411 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accuracy=29.200000 loss=3.275497 lr=0.096500 Epoch[053] Batch [1549]/[3760] Speed: 165.006141 samples/sec accuracy=29.197581 loss=3.276339 lr=0.096495 Epoch[053] Batch [1599]/[3760] Speed: 163.748271 samples/sec accuracy=29.191406 loss=3.276163 lr=0.096491 Epoch[053] Batch [1649]/[3760] Speed: 166.519657 samples/sec accuracy=29.164773 loss=3.278270 lr=0.096486 Epoch[053] Batch [1699]/[3760] Speed: 164.570737 samples/sec accuracy=29.188419 loss=3.277745 lr=0.096481 Epoch[053] Batch [1749]/[3760] Speed: 164.180896 samples/sec accuracy=29.185714 loss=3.277786 lr=0.096476 Epoch[053] Batch [1799]/[3760] Speed: 163.121887 samples/sec accuracy=29.203125 loss=3.276119 lr=0.096472 Epoch[053] Batch [1849]/[3760] Speed: 164.378114 samples/sec accuracy=29.201014 loss=3.277151 lr=0.096467 Epoch[053] Batch [1899]/[3760] Speed: 163.356479 samples/sec accuracy=29.194079 loss=3.277411 lr=0.096462 Epoch[053] Batch [1949]/[3760] Speed: 164.722771 samples/sec accuracy=29.181090 loss=3.277186 lr=0.096457 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acc-top5=54.677083 Batch [0199]/[0303]: acc-top1=31.671875 acc-top5=56.539062 Batch [0249]/[0303]: acc-top1=31.006250 acc-top5=56.393750 Batch [0299]/[0303]: acc-top1=30.114583 acc-top5=56.213542 [Epoch 053] training: accuracy=29.217088 loss=3.277659 [Epoch 053] speed: 163 samples/sec time cost: 1589.007263 [Epoch 053] validation: acc-top1=30.079414 acc-top5=56.208746 loss=3.407936 Epoch[054] Batch [0049]/[3760] Speed: 114.731425 samples/sec accuracy=28.500000 loss=3.303582 lr=0.096278 Epoch[054] Batch [0099]/[3760] Speed: 163.824705 samples/sec accuracy=29.390625 loss=3.263363 lr=0.096273 Epoch[054] Batch [0149]/[3760] Speed: 161.084787 samples/sec accuracy=29.687500 loss=3.242834 lr=0.096268 Epoch[054] Batch [0199]/[3760] Speed: 164.423156 samples/sec accuracy=29.656250 loss=3.236495 lr=0.096263 Epoch[054] Batch [0249]/[3760] Speed: 163.768050 samples/sec accuracy=29.625000 loss=3.241075 lr=0.096258 Epoch[054] Batch [0299]/[3760] Speed: 163.127732 samples/sec accuracy=29.578125 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accuracy=29.175347 loss=3.271237 lr=0.095923 Epoch[054] Batch [3649]/[3760] Speed: 162.773156 samples/sec accuracy=29.175942 loss=3.271395 lr=0.095918 Epoch[054] Batch [3699]/[3760] Speed: 164.736954 samples/sec accuracy=29.162584 loss=3.272419 lr=0.095913 Epoch[054] Batch [3749]/[3760] Speed: 175.843633 samples/sec accuracy=29.171667 loss=3.272862 lr=0.095908 Batch [0049]/[0303]: acc-top1=29.375000 acc-top5=55.343750 Batch [0099]/[0303]: acc-top1=27.625000 acc-top5=53.937500 Batch [0149]/[0303]: acc-top1=29.458333 acc-top5=55.572917 Batch [0199]/[0303]: acc-top1=31.851563 acc-top5=57.828125 Batch [0249]/[0303]: acc-top1=30.562500 acc-top5=57.793750 Batch [0299]/[0303]: acc-top1=29.953125 acc-top5=57.536458 [Epoch 054] training: accuracy=29.177610 loss=3.272700 [Epoch 054] speed: 162 samples/sec time cost: 1593.417265 [Epoch 054] validation: acc-top1=29.924711 acc-top5=57.528878 loss=3.546691 Epoch[055] Batch [0049]/[3759] Speed: 114.176300 samples/sec accuracy=29.343750 loss=3.221183 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accuracy=29.318563 loss=3.268654 lr=0.095558 Epoch[055] Batch [3399]/[3759] Speed: 161.936976 samples/sec accuracy=29.340074 loss=3.267286 lr=0.095553 Epoch[055] Batch [3449]/[3759] Speed: 163.240712 samples/sec accuracy=29.345562 loss=3.266856 lr=0.095547 Epoch[055] Batch [3499]/[3759] Speed: 166.024259 samples/sec accuracy=29.344196 loss=3.266853 lr=0.095542 Epoch[055] Batch [3549]/[3759] Speed: 163.106001 samples/sec accuracy=29.338028 loss=3.267297 lr=0.095537 Epoch[055] Batch [3599]/[3759] Speed: 163.627223 samples/sec accuracy=29.335069 loss=3.267174 lr=0.095531 Epoch[055] Batch [3649]/[3759] Speed: 165.305914 samples/sec accuracy=29.342466 loss=3.267114 lr=0.095526 Epoch[055] Batch [3699]/[3759] Speed: 161.904623 samples/sec accuracy=29.317568 loss=3.268542 lr=0.095521 Epoch[055] Batch [3749]/[3759] Speed: 177.141408 samples/sec accuracy=29.287917 loss=3.269889 lr=0.095515 Batch [0049]/[0303]: acc-top1=31.062500 acc-top5=57.250000 Batch [0099]/[0303]: acc-top1=28.812500 acc-top5=55.265625 Batch [0149]/[0303]: acc-top1=30.437500 acc-top5=56.458333 Batch [0199]/[0303]: acc-top1=32.781250 acc-top5=58.718750 Batch [0249]/[0303]: acc-top1=32.081250 acc-top5=58.525000 Batch [0299]/[0303]: acc-top1=31.395833 acc-top5=58.505208 [Epoch 055] training: accuracy=29.293030 loss=3.269527 [Epoch 055] speed: 162 samples/sec time cost: 1593.609964 [Epoch 055] validation: acc-top1=31.389233 acc-top5=58.513820 loss=3.332024 Epoch[056] Batch [0049]/[3760] Speed: 114.118051 samples/sec accuracy=31.281250 loss=3.159786 lr=0.095509 Epoch[056] Batch [0099]/[3760] Speed: 163.429599 samples/sec accuracy=31.046875 loss=3.192510 lr=0.095504 Epoch[056] Batch [0149]/[3760] Speed: 163.233897 samples/sec accuracy=30.260417 loss=3.215665 lr=0.095498 Epoch[056] Batch [0199]/[3760] Speed: 163.708078 samples/sec accuracy=30.242188 loss=3.216685 lr=0.095493 Epoch[056] Batch [0249]/[3760] Speed: 162.534581 samples/sec accuracy=29.831250 loss=3.221607 lr=0.095488 Epoch[056] Batch 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accuracy=29.278730 loss=3.264879 lr=0.095177 Epoch[056] Batch [3149]/[3760] Speed: 163.140061 samples/sec accuracy=29.300595 loss=3.263646 lr=0.095172 Epoch[056] Batch [3199]/[3760] Speed: 163.110542 samples/sec accuracy=29.318359 loss=3.263895 lr=0.095166 Epoch[056] Batch [3249]/[3760] Speed: 164.568727 samples/sec accuracy=29.322596 loss=3.262583 lr=0.095161 Epoch[056] Batch [3299]/[3760] Speed: 164.788524 samples/sec accuracy=29.340436 loss=3.262334 lr=0.095155 Epoch[056] Batch [3349]/[3760] Speed: 163.430498 samples/sec accuracy=29.326026 loss=3.263927 lr=0.095150 Epoch[056] Batch [3399]/[3760] Speed: 163.638865 samples/sec accuracy=29.329044 loss=3.263834 lr=0.095144 Epoch[056] Batch [3449]/[3760] Speed: 162.645625 samples/sec accuracy=29.334239 loss=3.263929 lr=0.095139 Epoch[056] Batch [3499]/[3760] Speed: 164.635506 samples/sec accuracy=29.331696 loss=3.264014 lr=0.095133 Epoch[056] Batch [3549]/[3760] Speed: 164.013850 samples/sec accuracy=29.314261 loss=3.264740 lr=0.095128 Epoch[056] Batch [3599]/[3760] Speed: 162.762856 samples/sec accuracy=29.337240 loss=3.263616 lr=0.095122 Epoch[056] Batch [3649]/[3760] Speed: 164.066791 samples/sec accuracy=29.331764 loss=3.263288 lr=0.095116 Epoch[056] Batch [3699]/[3760] Speed: 163.510472 samples/sec accuracy=29.335304 loss=3.262706 lr=0.095111 Epoch[056] Batch [3749]/[3760] Speed: 175.787839 samples/sec accuracy=29.340417 loss=3.262204 lr=0.095105 Batch [0049]/[0303]: acc-top1=30.031250 acc-top5=56.343750 Batch [0099]/[0303]: acc-top1=27.171875 acc-top5=53.468750 Batch [0149]/[0303]: acc-top1=29.062500 acc-top5=54.979167 Batch [0199]/[0303]: acc-top1=32.015625 acc-top5=57.476562 Batch [0249]/[0303]: acc-top1=30.906250 acc-top5=57.393750 Batch [0299]/[0303]: acc-top1=30.083333 acc-top5=57.578125 [Epoch 056] training: accuracy=29.344664 loss=3.262158 [Epoch 056] speed: 163 samples/sec time cost: 1591.689398 [Epoch 056] validation: acc-top1=30.074257 acc-top5=57.735149 loss=3.353549 Epoch[057] Batch [0049]/[3760] Speed: 115.552841 samples/sec accuracy=30.187500 loss=3.220770 lr=0.095099 Epoch[057] Batch [0099]/[3760] Speed: 165.002090 samples/sec accuracy=29.015625 loss=3.295606 lr=0.095093 Epoch[057] Batch [0149]/[3760] Speed: 163.925939 samples/sec accuracy=29.697917 loss=3.269104 lr=0.095088 Epoch[057] Batch [0199]/[3760] Speed: 165.521229 samples/sec accuracy=29.867187 loss=3.254931 lr=0.095082 Epoch[057] Batch [0249]/[3760] Speed: 163.683124 samples/sec accuracy=29.868750 loss=3.252255 lr=0.095076 Epoch[057] Batch [0299]/[3760] Speed: 163.394757 samples/sec accuracy=29.890625 loss=3.261937 lr=0.095071 Epoch[057] Batch [0349]/[3760] Speed: 164.039511 samples/sec accuracy=29.758929 loss=3.271596 lr=0.095065 Epoch[057] Batch [0399]/[3760] Speed: 163.110273 samples/sec accuracy=29.656250 loss=3.273511 lr=0.095060 Epoch[057] Batch [0449]/[3760] Speed: 164.925456 samples/sec accuracy=29.753472 loss=3.265309 lr=0.095054 Epoch[057] Batch [0499]/[3760] Speed: 163.649715 samples/sec accuracy=29.650000 loss=3.270568 lr=0.095048 Epoch[057] Batch [0549]/[3760] Speed: 162.786915 samples/sec accuracy=29.676136 loss=3.261592 lr=0.095043 Epoch[057] Batch [0599]/[3760] Speed: 163.556077 samples/sec accuracy=29.757813 loss=3.257432 lr=0.095037 Epoch[057] Batch [0649]/[3760] Speed: 164.445389 samples/sec accuracy=29.841346 loss=3.256414 lr=0.095032 Epoch[057] Batch [0699]/[3760] Speed: 164.050237 samples/sec accuracy=29.774554 loss=3.259674 lr=0.095026 Epoch[057] Batch [0749]/[3760] Speed: 162.967703 samples/sec accuracy=29.662500 loss=3.262342 lr=0.095020 Epoch[057] Batch [0799]/[3760] Speed: 163.026895 samples/sec accuracy=29.654297 loss=3.263603 lr=0.095015 Epoch[057] Batch [0849]/[3760] Speed: 163.093475 samples/sec accuracy=29.632353 loss=3.261148 lr=0.095009 Epoch[057] Batch [0899]/[3760] Speed: 163.204524 samples/sec accuracy=29.644097 loss=3.261197 lr=0.095004 Epoch[057] Batch [0949]/[3760] Speed: 163.265172 samples/sec accuracy=29.615132 loss=3.259004 lr=0.094998 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accuracy=29.490680 loss=3.260253 lr=0.094782 Epoch[057] Batch [2899]/[3760] Speed: 162.428415 samples/sec accuracy=29.498384 loss=3.260022 lr=0.094776 Epoch[057] Batch [2949]/[3760] Speed: 164.596723 samples/sec accuracy=29.487288 loss=3.260399 lr=0.094771 Epoch[057] Batch [2999]/[3760] Speed: 164.350200 samples/sec accuracy=29.495833 loss=3.259882 lr=0.094765 Epoch[057] Batch [3049]/[3760] Speed: 164.414369 samples/sec accuracy=29.500512 loss=3.259542 lr=0.094759 Epoch[057] Batch [3099]/[3760] Speed: 164.101266 samples/sec accuracy=29.514617 loss=3.258645 lr=0.094753 Epoch[057] Batch [3149]/[3760] Speed: 164.740864 samples/sec accuracy=29.521329 loss=3.257993 lr=0.094748 Epoch[057] Batch [3199]/[3760] Speed: 163.641900 samples/sec accuracy=29.523926 loss=3.257796 lr=0.094742 Epoch[057] Batch [3249]/[3760] Speed: 162.744670 samples/sec accuracy=29.520673 loss=3.257763 lr=0.094736 Epoch[057] Batch [3299]/[3760] Speed: 163.761891 samples/sec accuracy=29.498580 loss=3.258894 lr=0.094730 Epoch[057] Batch [3349]/[3760] Speed: 163.804955 samples/sec accuracy=29.496269 loss=3.258317 lr=0.094725 Epoch[057] Batch [3399]/[3760] Speed: 163.781659 samples/sec accuracy=29.521140 loss=3.257625 lr=0.094719 Epoch[057] Batch [3449]/[3760] Speed: 163.574090 samples/sec accuracy=29.527627 loss=3.257449 lr=0.094713 Epoch[057] Batch [3499]/[3760] Speed: 162.981362 samples/sec accuracy=29.520089 loss=3.257812 lr=0.094707 Epoch[057] Batch [3549]/[3760] Speed: 162.804909 samples/sec accuracy=29.518926 loss=3.257474 lr=0.094702 Epoch[057] Batch [3599]/[3760] Speed: 164.108814 samples/sec accuracy=29.533854 loss=3.256745 lr=0.094696 Epoch[057] Batch [3649]/[3760] Speed: 163.718199 samples/sec accuracy=29.535103 loss=3.256625 lr=0.094690 Epoch[057] Batch [3699]/[3760] Speed: 163.204661 samples/sec accuracy=29.527872 loss=3.257049 lr=0.094684 Epoch[057] Batch [3749]/[3760] Speed: 174.727437 samples/sec accuracy=29.546667 loss=3.256340 lr=0.094678 Batch [0049]/[0303]: acc-top1=28.687500 acc-top5=56.437500 Batch [0099]/[0303]: acc-top1=26.562500 acc-top5=53.468750 Batch [0149]/[0303]: acc-top1=27.593750 acc-top5=54.343750 Batch [0199]/[0303]: acc-top1=29.890625 acc-top5=56.179688 Batch [0249]/[0303]: acc-top1=29.443750 acc-top5=56.068750 Batch [0299]/[0303]: acc-top1=29.062500 acc-top5=56.479167 [Epoch 057] training: accuracy=29.541639 loss=3.256336 [Epoch 057] speed: 162 samples/sec time cost: 1593.381341 [Epoch 057] validation: acc-top1=29.011964 acc-top5=56.487211 loss=3.585932 Epoch[058] Batch [0049]/[3759] Speed: 114.763366 samples/sec accuracy=29.531250 loss=3.279268 lr=0.094671 Epoch[058] Batch [0099]/[3759] Speed: 162.691230 samples/sec accuracy=29.562500 loss=3.252277 lr=0.094666 Epoch[058] Batch [0149]/[3759] Speed: 165.516673 samples/sec accuracy=29.687500 loss=3.239481 lr=0.094660 Epoch[058] Batch [0199]/[3759] Speed: 161.076653 samples/sec accuracy=29.953125 loss=3.228856 lr=0.094654 Epoch[058] Batch [0249]/[3759] Speed: 165.149711 samples/sec accuracy=30.031250 loss=3.226562 lr=0.094648 Epoch[058] Batch [0299]/[3759] Speed: 163.468689 samples/sec accuracy=29.869792 loss=3.236051 lr=0.094642 Epoch[058] Batch [0349]/[3759] Speed: 164.796085 samples/sec accuracy=29.763393 loss=3.245809 lr=0.094637 Epoch[058] Batch [0399]/[3759] Speed: 161.559749 samples/sec accuracy=29.753906 loss=3.244822 lr=0.094631 Epoch[058] Batch [0449]/[3759] Speed: 165.139788 samples/sec accuracy=29.746528 loss=3.241269 lr=0.094625 Epoch[058] Batch [0499]/[3759] Speed: 163.370619 samples/sec accuracy=29.809375 loss=3.240728 lr=0.094619 Epoch[058] Batch [0549]/[3759] Speed: 163.361160 samples/sec accuracy=29.786932 loss=3.243491 lr=0.094613 Epoch[058] Batch [0599]/[3759] Speed: 161.907494 samples/sec accuracy=29.856771 loss=3.245600 lr=0.094608 Epoch[058] Batch [0649]/[3759] Speed: 162.764023 samples/sec accuracy=29.903846 loss=3.237931 lr=0.094602 Epoch[058] Batch [0699]/[3759] Speed: 163.481170 samples/sec accuracy=29.875000 loss=3.236482 lr=0.094596 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loss=3.238938 lr=0.094485 Epoch[058] Batch [1699]/[3759] Speed: 164.097893 samples/sec accuracy=29.835478 loss=3.238239 lr=0.094479 Epoch[058] Batch [1749]/[3759] Speed: 165.014635 samples/sec accuracy=29.839286 loss=3.237758 lr=0.094473 Epoch[058] Batch [1799]/[3759] Speed: 162.843674 samples/sec accuracy=29.847222 loss=3.237287 lr=0.094467 Epoch[058] Batch [1849]/[3759] Speed: 165.212042 samples/sec accuracy=29.850507 loss=3.237595 lr=0.094461 Epoch[058] Batch [1899]/[3759] Speed: 164.202683 samples/sec accuracy=29.831414 loss=3.238339 lr=0.094455 Epoch[058] Batch [1949]/[3759] Speed: 164.003437 samples/sec accuracy=29.867788 loss=3.236750 lr=0.094449 Epoch[058] Batch [1999]/[3759] Speed: 163.814044 samples/sec accuracy=29.879688 loss=3.236287 lr=0.094443 Epoch[058] Batch [2049]/[3759] Speed: 164.450460 samples/sec accuracy=29.849085 loss=3.237551 lr=0.094437 Epoch[058] Batch [2099]/[3759] Speed: 163.925186 samples/sec accuracy=29.827381 loss=3.238560 lr=0.094431 Epoch[058] Batch 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accuracy=29.703125 loss=3.242249 lr=0.094372 Epoch[058] Batch [2649]/[3759] Speed: 165.351165 samples/sec accuracy=29.718160 loss=3.242177 lr=0.094366 Epoch[058] Batch [2699]/[3759] Speed: 165.155801 samples/sec accuracy=29.736111 loss=3.242207 lr=0.094360 Epoch[058] Batch [2749]/[3759] Speed: 163.292520 samples/sec accuracy=29.742614 loss=3.242146 lr=0.094354 Epoch[058] Batch [2799]/[3759] Speed: 165.178153 samples/sec accuracy=29.683594 loss=3.243743 lr=0.094348 Epoch[058] Batch [2849]/[3759] Speed: 164.819114 samples/sec accuracy=29.679276 loss=3.244180 lr=0.094342 Epoch[058] Batch [2899]/[3759] Speed: 162.750821 samples/sec accuracy=29.663793 loss=3.245129 lr=0.094336 Epoch[058] Batch [2949]/[3759] Speed: 166.488519 samples/sec accuracy=29.656780 loss=3.245499 lr=0.094330 Epoch[058] Batch [2999]/[3759] Speed: 162.866594 samples/sec accuracy=29.657292 loss=3.245845 lr=0.094324 Epoch[058] Batch [3049]/[3759] Speed: 164.765151 samples/sec accuracy=29.656250 loss=3.246071 lr=0.094318 Epoch[058] Batch [3099]/[3759] Speed: 164.536287 samples/sec accuracy=29.668851 loss=3.245374 lr=0.094312 Epoch[058] Batch [3149]/[3759] Speed: 164.742201 samples/sec accuracy=29.655258 loss=3.245865 lr=0.094307 Epoch[058] Batch [3199]/[3759] Speed: 163.881619 samples/sec accuracy=29.640625 loss=3.247122 lr=0.094301 Epoch[058] Batch [3249]/[3759] Speed: 166.307498 samples/sec accuracy=29.646154 loss=3.246871 lr=0.094295 Epoch[058] Batch [3299]/[3759] Speed: 163.165217 samples/sec accuracy=29.634470 loss=3.247306 lr=0.094289 Epoch[058] Batch [3349]/[3759] Speed: 164.626992 samples/sec accuracy=29.636194 loss=3.247090 lr=0.094283 Epoch[058] Batch [3399]/[3759] Speed: 164.335675 samples/sec accuracy=29.619026 loss=3.247864 lr=0.094277 Epoch[058] Batch [3449]/[3759] Speed: 162.905691 samples/sec accuracy=29.605978 loss=3.248669 lr=0.094271 Epoch[058] Batch [3499]/[3759] Speed: 164.328760 samples/sec accuracy=29.587500 loss=3.249255 lr=0.094265 Epoch[058] Batch [3549]/[3759] Speed: 164.306500 samples/sec accuracy=29.607394 loss=3.248749 lr=0.094259 Epoch[058] Batch [3599]/[3759] Speed: 163.562377 samples/sec accuracy=29.612847 loss=3.248092 lr=0.094253 Epoch[058] Batch [3649]/[3759] Speed: 164.969501 samples/sec accuracy=29.625428 loss=3.248299 lr=0.094247 Epoch[058] Batch [3699]/[3759] Speed: 165.725086 samples/sec accuracy=29.616976 loss=3.248707 lr=0.094241 Epoch[058] Batch [3749]/[3759] Speed: 176.241609 samples/sec accuracy=29.600833 loss=3.249689 lr=0.094235 Batch [0049]/[0303]: acc-top1=29.781250 acc-top5=56.000000 Batch [0099]/[0303]: acc-top1=28.046875 acc-top5=54.140625 Batch [0149]/[0303]: acc-top1=30.625000 acc-top5=56.552083 Batch [0199]/[0303]: acc-top1=33.312500 acc-top5=58.937500 Batch [0249]/[0303]: acc-top1=32.268750 acc-top5=58.387500 Batch [0299]/[0303]: acc-top1=31.531250 acc-top5=58.125000 [Epoch 058] training: accuracy=29.603951 loss=3.249635 [Epoch 058] speed: 163 samples/sec time cost: 1591.241958 [Epoch 058] validation: acc-top1=31.533622 acc-top5=58.127063 loss=3.291293 Epoch[059] Batch [0049]/[3760] Speed: 115.012010 samples/sec accuracy=30.937500 loss=3.172548 lr=0.094227 Epoch[059] Batch [0099]/[3760] Speed: 164.022796 samples/sec accuracy=30.234375 loss=3.216713 lr=0.094221 Epoch[059] Batch [0149]/[3760] Speed: 164.560043 samples/sec accuracy=30.479167 loss=3.200050 lr=0.094215 Epoch[059] Batch [0199]/[3760] Speed: 164.353889 samples/sec accuracy=30.148438 loss=3.207851 lr=0.094209 Epoch[059] Batch [0249]/[3760] Speed: 165.208671 samples/sec accuracy=30.156250 loss=3.215441 lr=0.094203 Epoch[059] Batch [0299]/[3760] Speed: 162.405363 samples/sec accuracy=30.166667 loss=3.217276 lr=0.094197 Epoch[059] Batch [0349]/[3760] Speed: 164.867891 samples/sec accuracy=29.928571 loss=3.224732 lr=0.094191 Epoch[059] Batch [0399]/[3760] Speed: 164.256060 samples/sec accuracy=30.132812 loss=3.222540 lr=0.094185 Epoch[059] Batch [0449]/[3760] Speed: 163.726335 samples/sec accuracy=30.006944 loss=3.232372 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accuracy=30.026786 loss=3.239124 lr=0.094064 Epoch[059] Batch [1449]/[3760] Speed: 165.630669 samples/sec accuracy=30.061422 loss=3.239644 lr=0.094058 Epoch[059] Batch [1499]/[3760] Speed: 162.494658 samples/sec accuracy=30.002083 loss=3.241712 lr=0.094052 Epoch[059] Batch [1549]/[3760] Speed: 165.569874 samples/sec accuracy=29.970766 loss=3.242366 lr=0.094046 Epoch[059] Batch [1599]/[3760] Speed: 162.881014 samples/sec accuracy=29.933594 loss=3.244640 lr=0.094040 Epoch[059] Batch [1649]/[3760] Speed: 163.176397 samples/sec accuracy=29.951705 loss=3.244102 lr=0.094033 Epoch[059] Batch [1699]/[3760] Speed: 163.880868 samples/sec accuracy=29.924632 loss=3.246893 lr=0.094027 Epoch[059] Batch [1749]/[3760] Speed: 162.083435 samples/sec accuracy=29.905357 loss=3.246774 lr=0.094021 Epoch[059] Batch [1799]/[3760] Speed: 165.778016 samples/sec accuracy=29.886285 loss=3.248090 lr=0.094015 Epoch[059] Batch [1849]/[3760] Speed: 163.274157 samples/sec accuracy=29.911318 loss=3.246511 lr=0.094009 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accuracy=29.830000 loss=3.247335 lr=0.093774 Batch [0049]/[0303]: acc-top1=25.156250 acc-top5=50.531250 Batch [0099]/[0303]: acc-top1=23.031250 acc-top5=48.125000 Batch [0149]/[0303]: acc-top1=25.604167 acc-top5=51.114583 Batch [0199]/[0303]: acc-top1=28.507812 acc-top5=53.500000 Batch [0249]/[0303]: acc-top1=28.293750 acc-top5=53.712500 Batch [0299]/[0303]: acc-top1=28.572917 acc-top5=54.244792 [Epoch 059] training: accuracy=29.830452 loss=3.247603 [Epoch 059] speed: 163 samples/sec time cost: 1589.570769 [Epoch 059] validation: acc-top1=28.681931 acc-top5=54.347153 loss=3.546076 Epoch[060] Batch [0049]/[3760] Speed: 115.328200 samples/sec accuracy=29.750000 loss=3.228052 lr=0.093767 Epoch[060] Batch [0099]/[3760] Speed: 162.854857 samples/sec accuracy=29.875000 loss=3.242293 lr=0.093761 Epoch[060] Batch [0149]/[3760] Speed: 164.022220 samples/sec accuracy=29.677083 loss=3.248600 lr=0.093754 Epoch[060] Batch [0199]/[3760] Speed: 164.088888 samples/sec accuracy=29.593750 loss=3.251810 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accuracy=29.997283 loss=3.237211 lr=0.093629 Epoch[060] Batch [1199]/[3760] Speed: 161.980399 samples/sec accuracy=30.006510 loss=3.234638 lr=0.093623 Epoch[060] Batch [1249]/[3760] Speed: 163.551475 samples/sec accuracy=30.008750 loss=3.234187 lr=0.093616 Epoch[060] Batch [1299]/[3760] Speed: 163.330434 samples/sec accuracy=29.996394 loss=3.234718 lr=0.093610 Epoch[060] Batch [1349]/[3760] Speed: 163.837178 samples/sec accuracy=30.002315 loss=3.233433 lr=0.093604 Epoch[060] Batch [1399]/[3760] Speed: 163.704842 samples/sec accuracy=29.936384 loss=3.235118 lr=0.093597 Epoch[060] Batch [1449]/[3760] Speed: 163.734204 samples/sec accuracy=29.939655 loss=3.236298 lr=0.093591 Epoch[060] Batch [1499]/[3760] Speed: 163.979813 samples/sec accuracy=29.977083 loss=3.236825 lr=0.093585 Epoch[060] Batch [1549]/[3760] Speed: 164.150078 samples/sec accuracy=30.028226 loss=3.235238 lr=0.093578 Epoch[060] Batch [1599]/[3760] Speed: 163.297250 samples/sec accuracy=29.975586 loss=3.238098 lr=0.093572 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loss=3.242689 lr=0.093451 Epoch[060] Batch [2599]/[3760] Speed: 162.702181 samples/sec accuracy=29.863582 loss=3.242702 lr=0.093445 Epoch[060] Batch [2649]/[3760] Speed: 164.944401 samples/sec accuracy=29.870283 loss=3.242543 lr=0.093439 Epoch[060] Batch [2699]/[3760] Speed: 163.331704 samples/sec accuracy=29.865741 loss=3.242390 lr=0.093432 Epoch[060] Batch [2749]/[3760] Speed: 163.360317 samples/sec accuracy=29.850000 loss=3.242628 lr=0.093426 Epoch[060] Batch [2799]/[3760] Speed: 164.161771 samples/sec accuracy=29.834821 loss=3.243189 lr=0.093419 Epoch[060] Batch [2849]/[3760] Speed: 163.196408 samples/sec accuracy=29.811952 loss=3.244251 lr=0.093413 Epoch[060] Batch [2899]/[3760] Speed: 164.304531 samples/sec accuracy=29.808190 loss=3.244461 lr=0.093407 Epoch[060] Batch [2949]/[3760] Speed: 163.103862 samples/sec accuracy=29.817267 loss=3.244235 lr=0.093400 Epoch[060] Batch [2999]/[3760] Speed: 163.283783 samples/sec accuracy=29.824479 loss=3.243487 lr=0.093394 Epoch[060] Batch 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accuracy=29.763839 loss=3.246342 lr=0.093330 Epoch[060] Batch [3549]/[3760] Speed: 163.546034 samples/sec accuracy=29.770246 loss=3.245830 lr=0.093323 Epoch[060] Batch [3599]/[3760] Speed: 164.915056 samples/sec accuracy=29.758681 loss=3.247027 lr=0.093317 Epoch[060] Batch [3649]/[3760] Speed: 162.486200 samples/sec accuracy=29.766695 loss=3.246381 lr=0.093310 Epoch[060] Batch [3699]/[3760] Speed: 163.356465 samples/sec accuracy=29.753378 loss=3.246914 lr=0.093304 Epoch[060] Batch [3749]/[3760] Speed: 176.013836 samples/sec accuracy=29.767083 loss=3.247179 lr=0.093297 Batch [0049]/[0303]: acc-top1=28.875000 acc-top5=56.156250 Batch [0099]/[0303]: acc-top1=26.640625 acc-top5=54.015625 Batch [0149]/[0303]: acc-top1=28.895833 acc-top5=55.802083 Batch [0199]/[0303]: acc-top1=31.875000 acc-top5=57.945312 Batch [0249]/[0303]: acc-top1=31.218750 acc-top5=57.850000 Batch [0299]/[0303]: acc-top1=30.692708 acc-top5=58.067708 [Epoch 060] training: accuracy=29.773105 loss=3.246720 [Epoch 060] speed: 163 samples/sec time cost: 1590.709113 [Epoch 060] validation: acc-top1=30.734323 acc-top5=58.065182 loss=3.416477 Epoch[061] Batch [0049]/[3759] Speed: 114.472494 samples/sec accuracy=30.468750 loss=3.186015 lr=0.093290 Epoch[061] Batch [0099]/[3759] Speed: 163.412345 samples/sec accuracy=29.953125 loss=3.225366 lr=0.093283 Epoch[061] Batch [0149]/[3759] Speed: 164.831820 samples/sec accuracy=30.135417 loss=3.217497 lr=0.093277 Epoch[061] Batch [0199]/[3759] Speed: 165.452334 samples/sec accuracy=30.007812 loss=3.214021 lr=0.093270 Epoch[061] Batch [0249]/[3759] Speed: 163.008628 samples/sec accuracy=29.743750 loss=3.219347 lr=0.093264 Epoch[061] Batch [0299]/[3759] Speed: 164.137999 samples/sec accuracy=29.614583 loss=3.220475 lr=0.093257 Epoch[061] Batch [0349]/[3759] Speed: 164.674834 samples/sec accuracy=29.714286 loss=3.217532 lr=0.093251 Epoch[061] Batch [0399]/[3759] Speed: 163.341503 samples/sec accuracy=29.597656 loss=3.225323 lr=0.093244 Epoch[061] Batch [0449]/[3759] 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accuracy=29.562500 loss=3.244576 lr=0.093180 Epoch[061] Batch [0949]/[3759] Speed: 163.310125 samples/sec accuracy=29.613487 loss=3.242537 lr=0.093173 Epoch[061] Batch [0999]/[3759] Speed: 164.098991 samples/sec accuracy=29.593750 loss=3.243390 lr=0.093166 Epoch[061] Batch [1049]/[3759] Speed: 165.371611 samples/sec accuracy=29.589286 loss=3.242576 lr=0.093160 Epoch[061] Batch [1099]/[3759] Speed: 161.927408 samples/sec accuracy=29.625000 loss=3.239498 lr=0.093153 Epoch[061] Batch [1149]/[3759] Speed: 164.163550 samples/sec accuracy=29.669837 loss=3.237459 lr=0.093147 Epoch[061] Batch [1199]/[3759] Speed: 163.465970 samples/sec accuracy=29.678385 loss=3.235821 lr=0.093140 Epoch[061] Batch [1249]/[3759] Speed: 163.466245 samples/sec accuracy=29.692500 loss=3.237353 lr=0.093134 Epoch[061] Batch [1299]/[3759] Speed: 163.988747 samples/sec accuracy=29.694712 loss=3.238627 lr=0.093127 Epoch[061] Batch [1349]/[3759] Speed: 163.275639 samples/sec accuracy=29.725694 loss=3.237170 lr=0.093121 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Epoch[061] Batch [3749]/[3759] Speed: 176.766671 samples/sec accuracy=29.747917 loss=3.242390 lr=0.092804 Batch [0049]/[0303]: acc-top1=31.000000 acc-top5=57.281250 Batch [0099]/[0303]: acc-top1=28.796875 acc-top5=53.609375 Batch [0149]/[0303]: acc-top1=30.250000 acc-top5=55.770833 Batch [0199]/[0303]: acc-top1=32.156250 acc-top5=57.718750 Batch [0249]/[0303]: acc-top1=31.362500 acc-top5=57.768750 Batch [0299]/[0303]: acc-top1=30.781250 acc-top5=57.604167 [Epoch 061] training: accuracy=29.751097 loss=3.242366 [Epoch 061] speed: 162 samples/sec time cost: 1592.735584 [Epoch 061] validation: acc-top1=30.796205 acc-top5=57.575289 loss=3.405967 Epoch[062] Batch [0049]/[3760] Speed: 116.131640 samples/sec accuracy=30.562500 loss=3.248267 lr=0.092796 Epoch[062] Batch [0099]/[3760] Speed: 161.995251 samples/sec accuracy=30.906250 loss=3.223710 lr=0.092790 Epoch[062] Batch [0149]/[3760] Speed: 164.244526 samples/sec accuracy=30.843750 loss=3.210518 lr=0.092783 Epoch[062] Batch [0199]/[3760] 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accuracy=30.415865 loss=3.207219 lr=0.092716 Epoch[062] Batch [0699]/[3760] Speed: 163.408798 samples/sec accuracy=30.424107 loss=3.207159 lr=0.092709 Epoch[062] Batch [0749]/[3760] Speed: 164.380201 samples/sec accuracy=30.445833 loss=3.205603 lr=0.092703 Epoch[062] Batch [0799]/[3760] Speed: 164.092743 samples/sec accuracy=30.396484 loss=3.210450 lr=0.092696 Epoch[062] Batch [0849]/[3760] Speed: 163.606581 samples/sec accuracy=30.266544 loss=3.213710 lr=0.092689 Epoch[062] Batch [0899]/[3760] Speed: 162.449418 samples/sec accuracy=30.246528 loss=3.214232 lr=0.092683 Epoch[062] Batch [0949]/[3760] Speed: 165.431597 samples/sec accuracy=30.208882 loss=3.217705 lr=0.092676 Epoch[062] Batch [0999]/[3760] Speed: 163.497364 samples/sec accuracy=30.190625 loss=3.221912 lr=0.092669 Epoch[062] Batch [1049]/[3760] Speed: 164.485979 samples/sec accuracy=30.150298 loss=3.224245 lr=0.092662 Epoch[062] Batch [1099]/[3760] Speed: 163.092197 samples/sec accuracy=30.085227 loss=3.226041 lr=0.092656 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loss=3.232895 lr=0.092527 Epoch[062] Batch [2099]/[3760] Speed: 163.945085 samples/sec accuracy=29.965030 loss=3.231158 lr=0.092520 Epoch[062] Batch [2149]/[3760] Speed: 163.478284 samples/sec accuracy=29.960029 loss=3.231746 lr=0.092514 Epoch[062] Batch [2199]/[3760] Speed: 166.289490 samples/sec accuracy=29.993608 loss=3.229869 lr=0.092507 Epoch[062] Batch [2249]/[3760] Speed: 162.801866 samples/sec accuracy=29.989583 loss=3.230926 lr=0.092500 Epoch[062] Batch [2299]/[3760] Speed: 163.863507 samples/sec accuracy=30.000000 loss=3.229783 lr=0.092493 Epoch[062] Batch [2349]/[3760] Speed: 164.167210 samples/sec accuracy=29.995346 loss=3.230307 lr=0.092487 Epoch[062] Batch [2399]/[3760] Speed: 164.033286 samples/sec accuracy=29.986979 loss=3.230147 lr=0.092480 Epoch[062] Batch [2449]/[3760] Speed: 165.334467 samples/sec accuracy=29.992985 loss=3.229836 lr=0.092473 Epoch[062] Batch [2499]/[3760] Speed: 163.060249 samples/sec accuracy=29.988750 loss=3.229404 lr=0.092466 Epoch[062] Batch 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accuracy=29.993750 loss=3.228835 lr=0.092398 Epoch[062] Batch [3049]/[3760] Speed: 163.577527 samples/sec accuracy=29.990779 loss=3.228958 lr=0.092391 Epoch[062] Batch [3099]/[3760] Speed: 163.877423 samples/sec accuracy=29.981351 loss=3.229626 lr=0.092384 Epoch[062] Batch [3149]/[3760] Speed: 166.278960 samples/sec accuracy=29.976687 loss=3.230201 lr=0.092377 Epoch[062] Batch [3199]/[3760] Speed: 163.458891 samples/sec accuracy=29.981445 loss=3.230002 lr=0.092371 Epoch[062] Batch [3249]/[3760] Speed: 164.159970 samples/sec accuracy=29.989904 loss=3.230217 lr=0.092364 Epoch[062] Batch [3299]/[3760] Speed: 164.342221 samples/sec accuracy=29.983902 loss=3.230570 lr=0.092357 Epoch[062] Batch [3349]/[3760] Speed: 163.212776 samples/sec accuracy=29.986940 loss=3.230425 lr=0.092350 Epoch[062] Batch [3399]/[3760] Speed: 163.746342 samples/sec accuracy=29.974724 loss=3.231563 lr=0.092343 Epoch[062] Batch [3449]/[3760] Speed: 162.293748 samples/sec accuracy=29.979620 loss=3.231769 lr=0.092336 Epoch[062] Batch [3499]/[3760] Speed: 161.695616 samples/sec accuracy=29.958929 loss=3.232360 lr=0.092329 Epoch[062] Batch [3549]/[3760] Speed: 165.309815 samples/sec accuracy=29.950704 loss=3.232021 lr=0.092323 Epoch[062] Batch [3599]/[3760] Speed: 163.909145 samples/sec accuracy=29.958767 loss=3.231854 lr=0.092316 Epoch[062] Batch [3649]/[3760] Speed: 165.086134 samples/sec accuracy=29.943493 loss=3.232135 lr=0.092309 Epoch[062] Batch [3699]/[3760] Speed: 164.179088 samples/sec accuracy=29.951858 loss=3.232168 lr=0.092302 Epoch[062] Batch [3749]/[3760] Speed: 175.924439 samples/sec accuracy=29.950833 loss=3.232192 lr=0.092295 Batch [0049]/[0303]: acc-top1=26.218750 acc-top5=51.375000 Batch [0099]/[0303]: acc-top1=25.015625 acc-top5=50.265625 Batch [0149]/[0303]: acc-top1=27.510417 acc-top5=52.468750 Batch [0199]/[0303]: acc-top1=29.671875 acc-top5=54.718750 Batch [0249]/[0303]: acc-top1=29.206250 acc-top5=54.506250 Batch [0299]/[0303]: acc-top1=28.609375 acc-top5=54.802083 [Epoch 062] training: accuracy=29.949717 loss=3.232132 [Epoch 062] speed: 162 samples/sec time cost: 1592.032657 [Epoch 062] validation: acc-top1=28.594266 acc-top5=54.806106 loss=3.632235 Epoch[063] Batch [0049]/[3760] Speed: 116.223564 samples/sec accuracy=31.312500 loss=3.157751 lr=0.092287 Epoch[063] Batch [0099]/[3760] Speed: 161.411110 samples/sec accuracy=31.062500 loss=3.183365 lr=0.092280 Epoch[063] Batch [0149]/[3760] Speed: 163.472285 samples/sec accuracy=31.052083 loss=3.173621 lr=0.092273 Epoch[063] Batch [0199]/[3760] Speed: 164.624369 samples/sec accuracy=30.890625 loss=3.183725 lr=0.092266 Epoch[063] Batch [0249]/[3760] Speed: 165.569739 samples/sec accuracy=30.837500 loss=3.182889 lr=0.092259 Epoch[063] Batch [0299]/[3760] Speed: 165.233372 samples/sec accuracy=30.786458 loss=3.189792 lr=0.092252 Epoch[063] Batch [0349]/[3760] Speed: 163.584090 samples/sec accuracy=30.691964 loss=3.195952 lr=0.092245 Epoch[063] Batch [0399]/[3760] Speed: 164.185595 samples/sec accuracy=30.640625 loss=3.194865 lr=0.092239 Epoch[063] Batch [0449]/[3760] Speed: 162.737949 samples/sec accuracy=30.489583 loss=3.201829 lr=0.092232 Epoch[063] Batch [0499]/[3760] Speed: 164.866775 samples/sec accuracy=30.550000 loss=3.198962 lr=0.092225 Epoch[063] Batch [0549]/[3760] Speed: 162.316042 samples/sec accuracy=30.625000 loss=3.199759 lr=0.092218 Epoch[063] Batch [0599]/[3760] Speed: 164.902237 samples/sec accuracy=30.549479 loss=3.198994 lr=0.092211 Epoch[063] Batch [0649]/[3760] Speed: 165.382707 samples/sec accuracy=30.463942 loss=3.202215 lr=0.092204 Epoch[063] Batch [0699]/[3760] Speed: 163.128462 samples/sec accuracy=30.310268 loss=3.207309 lr=0.092197 Epoch[063] Batch [0749]/[3760] Speed: 164.362310 samples/sec accuracy=30.266667 loss=3.209294 lr=0.092190 Epoch[063] Batch [0799]/[3760] Speed: 165.665189 samples/sec accuracy=30.257812 loss=3.209989 lr=0.092183 Epoch[063] Batch [0849]/[3760] Speed: 162.505231 samples/sec accuracy=30.286765 loss=3.211929 lr=0.092176 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163.558867 samples/sec accuracy=30.060811 loss=3.228525 lr=0.091777 Epoch[063] Batch [3749]/[3760] Speed: 175.204042 samples/sec accuracy=30.044167 loss=3.229769 lr=0.091770 Batch [0049]/[0303]: acc-top1=26.875000 acc-top5=52.093750 Batch [0099]/[0303]: acc-top1=25.171875 acc-top5=51.203125 Batch [0149]/[0303]: acc-top1=27.302083 acc-top5=52.885417 Batch [0199]/[0303]: acc-top1=29.562500 acc-top5=55.000000 Batch [0249]/[0303]: acc-top1=28.912500 acc-top5=54.775000 Batch [0299]/[0303]: acc-top1=28.770833 acc-top5=54.479167 [Epoch 063] training: accuracy=30.042387 loss=3.229708 [Epoch 063] speed: 163 samples/sec time cost: 1591.883559 [Epoch 063] validation: acc-top1=28.785066 acc-top5=54.445132 loss=3.737637 Epoch[064] Batch [0049]/[3759] Speed: 116.220212 samples/sec accuracy=31.437500 loss=3.139595 lr=0.091761 Epoch[064] Batch [0099]/[3759] Speed: 162.477610 samples/sec accuracy=30.984375 loss=3.155629 lr=0.091754 Epoch[064] Batch [0149]/[3759] Speed: 163.824937 samples/sec accuracy=30.416667 loss=3.191703 lr=0.091747 Epoch[064] Batch [0199]/[3759] Speed: 162.166547 samples/sec accuracy=30.257812 loss=3.192554 lr=0.091740 Epoch[064] Batch [0249]/[3759] Speed: 163.582585 samples/sec accuracy=30.231250 loss=3.191362 lr=0.091733 Epoch[064] Batch [0299]/[3759] Speed: 161.692040 samples/sec accuracy=30.557292 loss=3.180008 lr=0.091726 Epoch[064] Batch [0349]/[3759] Speed: 165.179437 samples/sec accuracy=30.566964 loss=3.175762 lr=0.091719 Epoch[064] Batch [0399]/[3759] Speed: 163.941369 samples/sec accuracy=30.679688 loss=3.172147 lr=0.091712 Epoch[064] Batch [0449]/[3759] Speed: 161.902467 samples/sec accuracy=30.770833 loss=3.168602 lr=0.091704 Epoch[064] Batch [0499]/[3759] Speed: 163.540498 samples/sec accuracy=30.746875 loss=3.171632 lr=0.091697 Epoch[064] Batch [0549]/[3759] Speed: 163.645358 samples/sec accuracy=30.673295 loss=3.173108 lr=0.091690 Epoch[064] Batch [0599]/[3759] Speed: 163.802882 samples/sec accuracy=30.679688 loss=3.175509 lr=0.091683 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loss=3.199051 lr=0.091547 Epoch[064] Batch [1599]/[3759] Speed: 163.305917 samples/sec accuracy=30.328125 loss=3.202000 lr=0.091540 Epoch[064] Batch [1649]/[3759] Speed: 163.392167 samples/sec accuracy=30.348485 loss=3.202088 lr=0.091533 Epoch[064] Batch [1699]/[3759] Speed: 163.157568 samples/sec accuracy=30.303309 loss=3.205375 lr=0.091526 Epoch[064] Batch [1749]/[3759] Speed: 162.220455 samples/sec accuracy=30.304464 loss=3.204822 lr=0.091519 Epoch[064] Batch [1799]/[3759] Speed: 164.700431 samples/sec accuracy=30.298611 loss=3.204284 lr=0.091511 Epoch[064] Batch [1849]/[3759] Speed: 161.703031 samples/sec accuracy=30.299831 loss=3.204172 lr=0.091504 Epoch[064] Batch [1899]/[3759] Speed: 162.807299 samples/sec accuracy=30.272204 loss=3.205135 lr=0.091497 Epoch[064] Batch [1949]/[3759] Speed: 164.255608 samples/sec accuracy=30.219551 loss=3.207083 lr=0.091490 Epoch[064] Batch [1999]/[3759] Speed: 163.859006 samples/sec accuracy=30.200000 loss=3.209078 lr=0.091483 Epoch[064] Batch 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accuracy=30.166250 loss=3.212998 lr=0.091410 Epoch[064] Batch [2549]/[3759] Speed: 162.631293 samples/sec accuracy=30.172794 loss=3.213012 lr=0.091403 Epoch[064] Batch [2599]/[3759] Speed: 163.672446 samples/sec accuracy=30.165264 loss=3.214327 lr=0.091396 Epoch[064] Batch [2649]/[3759] Speed: 163.829423 samples/sec accuracy=30.194575 loss=3.213630 lr=0.091389 Epoch[064] Batch [2699]/[3759] Speed: 162.716795 samples/sec accuracy=30.186921 loss=3.213934 lr=0.091382 Epoch[064] Batch [2749]/[3759] Speed: 164.493490 samples/sec accuracy=30.180114 loss=3.214610 lr=0.091374 Epoch[064] Batch [2799]/[3759] Speed: 164.021557 samples/sec accuracy=30.160714 loss=3.215775 lr=0.091367 Epoch[064] Batch [2849]/[3759] Speed: 163.711539 samples/sec accuracy=30.144737 loss=3.216590 lr=0.091360 Epoch[064] Batch [2899]/[3759] Speed: 162.504147 samples/sec accuracy=30.145474 loss=3.216607 lr=0.091353 Epoch[064] Batch [2949]/[3759] Speed: 164.011137 samples/sec accuracy=30.139831 loss=3.216195 lr=0.091345 Epoch[064] Batch [2999]/[3759] Speed: 163.889149 samples/sec accuracy=30.127083 loss=3.216814 lr=0.091338 Epoch[064] Batch [3049]/[3759] Speed: 162.940624 samples/sec accuracy=30.118852 loss=3.217495 lr=0.091331 Epoch[064] Batch [3099]/[3759] Speed: 164.481659 samples/sec accuracy=30.125000 loss=3.217792 lr=0.091324 Epoch[064] Batch [3149]/[3759] Speed: 163.313684 samples/sec accuracy=30.131448 loss=3.217828 lr=0.091316 Epoch[064] Batch [3199]/[3759] Speed: 162.246995 samples/sec accuracy=30.129395 loss=3.218001 lr=0.091309 Epoch[064] Batch [3249]/[3759] Speed: 163.827121 samples/sec accuracy=30.125481 loss=3.218416 lr=0.091302 Epoch[064] Batch [3299]/[3759] Speed: 161.816349 samples/sec accuracy=30.103220 loss=3.218595 lr=0.091294 Epoch[064] Batch [3349]/[3759] Speed: 164.934440 samples/sec accuracy=30.106810 loss=3.218870 lr=0.091287 Epoch[064] Batch [3399]/[3759] Speed: 163.319103 samples/sec accuracy=30.102482 loss=3.218900 lr=0.091280 Epoch[064] Batch [3449]/[3759] Speed: 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Batch [0299]/[0303]: acc-top1=31.739583 acc-top5=59.588542 [Epoch 064] training: accuracy=30.076566 loss=3.220348 [Epoch 064] speed: 162 samples/sec time cost: 1593.272918 [Epoch 064] validation: acc-top1=31.755363 acc-top5=59.591584 loss=3.300099 Epoch[065] Batch [0049]/[3760] Speed: 115.380333 samples/sec accuracy=31.250000 loss=3.174373 lr=0.091220 Epoch[065] Batch [0099]/[3760] Speed: 162.419370 samples/sec accuracy=31.281250 loss=3.175689 lr=0.091213 Epoch[065] Batch [0149]/[3760] Speed: 163.743409 samples/sec accuracy=31.364583 loss=3.183998 lr=0.091206 Epoch[065] Batch [0199]/[3760] Speed: 163.714610 samples/sec accuracy=31.281250 loss=3.190407 lr=0.091198 Epoch[065] Batch [0249]/[3760] Speed: 163.325507 samples/sec accuracy=31.062500 loss=3.200414 lr=0.091191 Epoch[065] Batch [0299]/[3760] Speed: 163.730899 samples/sec accuracy=31.145833 loss=3.193923 lr=0.091184 Epoch[065] Batch [0349]/[3760] Speed: 161.952397 samples/sec accuracy=31.147321 loss=3.190224 lr=0.091176 Epoch[065] 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loss=3.215419 lr=0.090688 Epoch[065] Batch [3699]/[3760] Speed: 165.069297 samples/sec accuracy=30.372044 loss=3.215166 lr=0.090680 Epoch[065] Batch [3749]/[3760] Speed: 176.264912 samples/sec accuracy=30.345833 loss=3.216390 lr=0.090673 Batch [0049]/[0303]: acc-top1=31.125000 acc-top5=56.125000 Batch [0099]/[0303]: acc-top1=28.718750 acc-top5=54.421875 Batch [0149]/[0303]: acc-top1=29.302083 acc-top5=55.093750 Batch [0199]/[0303]: acc-top1=32.062500 acc-top5=57.578125 Batch [0249]/[0303]: acc-top1=30.662500 acc-top5=56.818750 Batch [0299]/[0303]: acc-top1=30.208333 acc-top5=56.442708 [Epoch 065] training: accuracy=30.354887 loss=3.216303 [Epoch 065] speed: 162 samples/sec time cost: 1592.030089 [Epoch 065] validation: acc-top1=30.130982 acc-top5=56.368606 loss=3.333088 Epoch[066] Batch [0049]/[3759] Speed: 114.667698 samples/sec accuracy=31.375000 loss=3.184324 lr=0.090664 Epoch[066] Batch [0099]/[3759] Speed: 164.074383 samples/sec accuracy=30.546875 loss=3.206999 lr=0.090656 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loss=3.193978 lr=0.090513 Epoch[066] Batch [1099]/[3759] Speed: 163.292172 samples/sec accuracy=30.491477 loss=3.192452 lr=0.090505 Epoch[066] Batch [1149]/[3759] Speed: 164.227275 samples/sec accuracy=30.460598 loss=3.191716 lr=0.090498 Epoch[066] Batch [1199]/[3759] Speed: 164.509039 samples/sec accuracy=30.411458 loss=3.194324 lr=0.090490 Epoch[066] Batch [1249]/[3759] Speed: 165.475062 samples/sec accuracy=30.428750 loss=3.193885 lr=0.090483 Epoch[066] Batch [1299]/[3759] Speed: 163.692503 samples/sec accuracy=30.489183 loss=3.193179 lr=0.090475 Epoch[066] Batch [1349]/[3759] Speed: 164.111983 samples/sec accuracy=30.476852 loss=3.195475 lr=0.090468 Epoch[066] Batch [1399]/[3759] Speed: 164.206846 samples/sec accuracy=30.468750 loss=3.196534 lr=0.090460 Epoch[066] Batch [1449]/[3759] Speed: 162.343238 samples/sec accuracy=30.471983 loss=3.197591 lr=0.090452 Epoch[066] Batch [1499]/[3759] Speed: 164.216021 samples/sec accuracy=30.460417 loss=3.198823 lr=0.090445 Epoch[066] Batch 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accuracy=30.369531 loss=3.201125 lr=0.090369 Epoch[066] Batch [2049]/[3759] Speed: 163.622577 samples/sec accuracy=30.357470 loss=3.202753 lr=0.090361 Epoch[066] Batch [2099]/[3759] Speed: 164.243055 samples/sec accuracy=30.334077 loss=3.204430 lr=0.090354 Epoch[066] Batch [2149]/[3759] Speed: 163.703440 samples/sec accuracy=30.333576 loss=3.206388 lr=0.090346 Epoch[066] Batch [2199]/[3759] Speed: 164.756806 samples/sec accuracy=30.307528 loss=3.207123 lr=0.090338 Epoch[066] Batch [2249]/[3759] Speed: 163.339995 samples/sec accuracy=30.315972 loss=3.206877 lr=0.090331 Epoch[066] Batch [2299]/[3759] Speed: 163.466185 samples/sec accuracy=30.322011 loss=3.207039 lr=0.090323 Epoch[066] Batch [2349]/[3759] Speed: 164.402211 samples/sec accuracy=30.329122 loss=3.207239 lr=0.090316 Epoch[066] Batch [2399]/[3759] Speed: 163.050566 samples/sec accuracy=30.328776 loss=3.207563 lr=0.090308 Epoch[066] Batch [2449]/[3759] Speed: 165.917054 samples/sec accuracy=30.355230 loss=3.205809 lr=0.090300 Epoch[066] Batch [2499]/[3759] Speed: 162.843824 samples/sec accuracy=30.361875 loss=3.205835 lr=0.090293 Epoch[066] Batch [2549]/[3759] Speed: 163.148598 samples/sec accuracy=30.383578 loss=3.206348 lr=0.090285 Epoch[066] Batch [2599]/[3759] Speed: 163.776870 samples/sec accuracy=30.373798 loss=3.206272 lr=0.090277 Epoch[066] Batch [2649]/[3759] Speed: 163.268834 samples/sec accuracy=30.367335 loss=3.206710 lr=0.090270 Epoch[066] Batch [2699]/[3759] Speed: 162.442853 samples/sec accuracy=30.364005 loss=3.207204 lr=0.090262 Epoch[066] Batch [2749]/[3759] Speed: 164.755837 samples/sec accuracy=30.344318 loss=3.208465 lr=0.090254 Epoch[066] Batch [2799]/[3759] Speed: 162.110840 samples/sec accuracy=30.328125 loss=3.209382 lr=0.090247 Epoch[066] Batch [2849]/[3759] Speed: 164.474846 samples/sec accuracy=30.348136 loss=3.208945 lr=0.090239 Epoch[066] Batch [2899]/[3759] Speed: 162.624418 samples/sec accuracy=30.363685 loss=3.208119 lr=0.090231 Epoch[066] Batch [2949]/[3759] Speed: 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loss=3.207666 lr=0.090155 Epoch[066] Batch [3449]/[3759] Speed: 164.269919 samples/sec accuracy=30.365942 loss=3.207479 lr=0.090147 Epoch[066] Batch [3499]/[3759] Speed: 164.354422 samples/sec accuracy=30.354464 loss=3.208031 lr=0.090139 Epoch[066] Batch [3549]/[3759] Speed: 165.161939 samples/sec accuracy=30.367518 loss=3.208018 lr=0.090132 Epoch[066] Batch [3599]/[3759] Speed: 165.573642 samples/sec accuracy=30.381510 loss=3.207437 lr=0.090124 Epoch[066] Batch [3649]/[3759] Speed: 163.644801 samples/sec accuracy=30.376284 loss=3.207279 lr=0.090116 Epoch[066] Batch [3699]/[3759] Speed: 164.864810 samples/sec accuracy=30.386824 loss=3.207184 lr=0.090109 Epoch[066] Batch [3749]/[3759] Speed: 175.148079 samples/sec accuracy=30.375417 loss=3.207985 lr=0.090101 Batch [0049]/[0303]: acc-top1=27.687500 acc-top5=54.843750 Batch [0099]/[0303]: acc-top1=27.609375 acc-top5=53.375000 Batch [0149]/[0303]: acc-top1=29.062500 acc-top5=54.604167 Batch [0199]/[0303]: acc-top1=31.546875 acc-top5=56.664062 Batch [0249]/[0303]: acc-top1=30.512500 acc-top5=56.331250 Batch [0299]/[0303]: acc-top1=29.994792 acc-top5=56.406250 [Epoch 066] training: accuracy=30.372938 loss=3.207995 [Epoch 066] speed: 163 samples/sec time cost: 1590.568795 [Epoch 066] validation: acc-top1=29.991749 acc-top5=56.466584 loss=3.506300 Epoch[067] Batch [0049]/[3760] Speed: 116.700938 samples/sec accuracy=29.593750 loss=3.209971 lr=0.090092 Epoch[067] Batch [0099]/[3760] Speed: 162.961714 samples/sec accuracy=30.109375 loss=3.206244 lr=0.090084 Epoch[067] Batch [0149]/[3760] Speed: 164.807751 samples/sec accuracy=29.781250 loss=3.225451 lr=0.090076 Epoch[067] Batch [0199]/[3760] Speed: 164.874645 samples/sec accuracy=30.000000 loss=3.215287 lr=0.090069 Epoch[067] Batch [0249]/[3760] Speed: 162.997269 samples/sec accuracy=30.112500 loss=3.212240 lr=0.090061 Epoch[067] Batch [0299]/[3760] Speed: 163.843530 samples/sec accuracy=30.302083 loss=3.203114 lr=0.090053 Epoch[067] Batch [0349]/[3760] Speed: 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accuracy=30.733333 loss=3.193279 lr=0.089274 Epoch[068] Batch [1549]/[3760] Speed: 164.066298 samples/sec accuracy=30.751008 loss=3.191341 lr=0.089266 Epoch[068] Batch [1599]/[3760] Speed: 163.737219 samples/sec accuracy=30.785156 loss=3.192719 lr=0.089258 Epoch[068] Batch [1649]/[3760] Speed: 164.009700 samples/sec accuracy=30.698864 loss=3.195499 lr=0.089250 Epoch[068] Batch [1699]/[3760] Speed: 163.732622 samples/sec accuracy=30.713235 loss=3.194696 lr=0.089242 Epoch[068] Batch [1749]/[3760] Speed: 163.724933 samples/sec accuracy=30.695536 loss=3.196073 lr=0.089234 Epoch[068] Batch [1799]/[3760] Speed: 164.127710 samples/sec accuracy=30.693576 loss=3.196571 lr=0.089226 Epoch[068] Batch [1849]/[3760] Speed: 163.800150 samples/sec accuracy=30.703547 loss=3.196486 lr=0.089218 Epoch[068] Batch [1899]/[3760] Speed: 164.886727 samples/sec accuracy=30.666941 loss=3.198428 lr=0.089210 Epoch[068] Batch [1949]/[3760] Speed: 163.199341 samples/sec accuracy=30.690705 loss=3.198244 lr=0.089202 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loss=3.197957 lr=0.089050 Epoch[068] Batch [2949]/[3760] Speed: 164.144352 samples/sec accuracy=30.667903 loss=3.198563 lr=0.089042 Epoch[068] Batch [2999]/[3760] Speed: 165.633126 samples/sec accuracy=30.674479 loss=3.198571 lr=0.089034 Epoch[068] Batch [3049]/[3760] Speed: 163.875440 samples/sec accuracy=30.655225 loss=3.199603 lr=0.089026 Epoch[068] Batch [3099]/[3760] Speed: 162.706226 samples/sec accuracy=30.658770 loss=3.199646 lr=0.089018 Epoch[068] Batch [3149]/[3760] Speed: 164.751133 samples/sec accuracy=30.665179 loss=3.199642 lr=0.089010 Epoch[068] Batch [3199]/[3760] Speed: 162.538429 samples/sec accuracy=30.659180 loss=3.200465 lr=0.089001 Epoch[068] Batch [3249]/[3760] Speed: 164.033851 samples/sec accuracy=30.641346 loss=3.201181 lr=0.088993 Epoch[068] Batch [3299]/[3760] Speed: 165.638398 samples/sec accuracy=30.652462 loss=3.201157 lr=0.088985 Epoch[068] Batch [3349]/[3760] Speed: 164.537533 samples/sec accuracy=30.654384 loss=3.201515 lr=0.088977 Epoch[068] Batch [3399]/[3760] Speed: 164.660919 samples/sec accuracy=30.632353 loss=3.202852 lr=0.088969 Epoch[068] Batch [3449]/[3760] Speed: 162.777892 samples/sec accuracy=30.638587 loss=3.202889 lr=0.088961 Epoch[068] Batch [3499]/[3760] Speed: 165.146494 samples/sec accuracy=30.631250 loss=3.202545 lr=0.088953 Epoch[068] Batch [3549]/[3760] Speed: 162.644738 samples/sec accuracy=30.626761 loss=3.203251 lr=0.088945 Epoch[068] Batch [3599]/[3760] Speed: 165.541098 samples/sec accuracy=30.611979 loss=3.203589 lr=0.088937 Epoch[068] Batch [3649]/[3760] Speed: 164.849765 samples/sec accuracy=30.612158 loss=3.203572 lr=0.088929 Epoch[068] Batch [3699]/[3760] Speed: 163.777172 samples/sec accuracy=30.619932 loss=3.202667 lr=0.088921 Epoch[068] Batch [3749]/[3760] Speed: 175.543355 samples/sec accuracy=30.601250 loss=3.203296 lr=0.088913 Batch [0049]/[0303]: acc-top1=32.281250 acc-top5=58.000000 Batch [0099]/[0303]: acc-top1=29.906250 acc-top5=56.593750 Batch [0149]/[0303]: acc-top1=31.625000 acc-top5=58.666667 Batch [0199]/[0303]: acc-top1=33.695312 acc-top5=60.273438 Batch [0249]/[0303]: acc-top1=33.025000 acc-top5=59.925000 Batch [0299]/[0303]: acc-top1=32.854167 acc-top5=60.223958 [Epoch 068] training: accuracy=30.604222 loss=3.203183 [Epoch 068] speed: 163 samples/sec time cost: 1588.962143 [Epoch 068] validation: acc-top1=32.745462 acc-top5=60.158828 loss=3.216098 Epoch[069] Batch [0049]/[3759] Speed: 114.667356 samples/sec accuracy=31.156250 loss=3.120914 lr=0.088903 Epoch[069] Batch [0099]/[3759] Speed: 164.694647 samples/sec accuracy=30.578125 loss=3.139884 lr=0.088895 Epoch[069] Batch [0149]/[3759] Speed: 163.414991 samples/sec accuracy=30.916667 loss=3.151592 lr=0.088887 Epoch[069] Batch [0199]/[3759] Speed: 164.803293 samples/sec accuracy=30.937500 loss=3.156898 lr=0.088879 Epoch[069] Batch [0249]/[3759] Speed: 163.947913 samples/sec accuracy=30.787500 loss=3.169616 lr=0.088870 Epoch[069] Batch [0299]/[3759] Speed: 163.084623 samples/sec accuracy=30.526042 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accuracy=30.539497 loss=3.197886 lr=0.088321 Epoch[069] Batch [3649]/[3759] Speed: 163.145257 samples/sec accuracy=30.545377 loss=3.198102 lr=0.088313 Epoch[069] Batch [3699]/[3759] Speed: 165.209102 samples/sec accuracy=30.535051 loss=3.198232 lr=0.088305 Epoch[069] Batch [3749]/[3759] Speed: 176.368150 samples/sec accuracy=30.527917 loss=3.198451 lr=0.088296 Batch [0049]/[0303]: acc-top1=29.843750 acc-top5=56.625000 Batch [0099]/[0303]: acc-top1=29.140625 acc-top5=55.718750 Batch [0149]/[0303]: acc-top1=29.895833 acc-top5=56.281250 Batch [0199]/[0303]: acc-top1=32.296875 acc-top5=58.640625 Batch [0249]/[0303]: acc-top1=31.456250 acc-top5=58.193750 Batch [0299]/[0303]: acc-top1=30.479167 acc-top5=57.854167 [Epoch 069] training: accuracy=30.523410 loss=3.198529 [Epoch 069] speed: 163 samples/sec time cost: 1590.353525 [Epoch 069] validation: acc-top1=30.466172 acc-top5=57.838284 loss=3.372794 Epoch[070] Batch [0049]/[3760] Speed: 115.442112 samples/sec accuracy=30.343750 loss=3.103800 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accuracy=30.704291 loss=3.191208 lr=0.087733 Epoch[070] Batch [3399]/[3760] Speed: 166.600982 samples/sec accuracy=30.718750 loss=3.191031 lr=0.087725 Epoch[070] Batch [3449]/[3760] Speed: 164.665579 samples/sec accuracy=30.700634 loss=3.191647 lr=0.087716 Epoch[070] Batch [3499]/[3760] Speed: 162.073625 samples/sec accuracy=30.695089 loss=3.192170 lr=0.087708 Epoch[070] Batch [3549]/[3760] Speed: 164.582191 samples/sec accuracy=30.704665 loss=3.192367 lr=0.087700 Epoch[070] Batch [3599]/[3760] Speed: 163.091864 samples/sec accuracy=30.715278 loss=3.191437 lr=0.087691 Epoch[070] Batch [3649]/[3760] Speed: 163.719543 samples/sec accuracy=30.718322 loss=3.192124 lr=0.087683 Epoch[070] Batch [3699]/[3760] Speed: 164.350538 samples/sec accuracy=30.708615 loss=3.191586 lr=0.087674 Epoch[070] Batch [3749]/[3760] Speed: 176.462098 samples/sec accuracy=30.699583 loss=3.191985 lr=0.087666 Batch [0049]/[0303]: acc-top1=31.500000 acc-top5=58.250000 Batch [0099]/[0303]: acc-top1=28.593750 acc-top5=55.093750 Batch [0149]/[0303]: acc-top1=30.500000 acc-top5=56.750000 Batch [0199]/[0303]: acc-top1=32.734375 acc-top5=58.601563 Batch [0249]/[0303]: acc-top1=31.425000 acc-top5=57.693750 Batch [0299]/[0303]: acc-top1=30.651042 acc-top5=57.729167 [Epoch 070] training: accuracy=30.695645 loss=3.192071 [Epoch 070] speed: 163 samples/sec time cost: 1589.049636 [Epoch 070] validation: acc-top1=30.765264 acc-top5=57.766089 loss=3.393947 Epoch[071] Batch [0049]/[3760] Speed: 113.889431 samples/sec accuracy=31.968750 loss=3.143451 lr=0.087655 Epoch[071] Batch [0099]/[3760] Speed: 163.387344 samples/sec accuracy=31.468750 loss=3.137008 lr=0.087647 Epoch[071] Batch [0149]/[3760] Speed: 164.296076 samples/sec accuracy=31.489583 loss=3.139770 lr=0.087638 Epoch[071] Batch [0199]/[3760] Speed: 165.280883 samples/sec accuracy=31.562500 loss=3.145064 lr=0.087630 Epoch[071] Batch [0249]/[3760] Speed: 163.855263 samples/sec accuracy=31.475000 loss=3.149779 lr=0.087622 Epoch[071] Batch 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Epoch[071] Batch [3599]/[3760] Speed: 161.798663 samples/sec accuracy=30.865017 loss=3.184144 lr=0.087047 Epoch[071] Batch [3649]/[3760] Speed: 165.971387 samples/sec accuracy=30.850171 loss=3.184247 lr=0.087038 Epoch[071] Batch [3699]/[3760] Speed: 162.840740 samples/sec accuracy=30.853885 loss=3.183941 lr=0.087029 Epoch[071] Batch [3749]/[3760] Speed: 176.426476 samples/sec accuracy=30.864167 loss=3.183767 lr=0.087021 Batch [0049]/[0303]: acc-top1=28.531250 acc-top5=53.562500 Batch [0099]/[0303]: acc-top1=27.359375 acc-top5=53.500000 Batch [0149]/[0303]: acc-top1=29.395833 acc-top5=55.677083 Batch [0199]/[0303]: acc-top1=31.632812 acc-top5=57.492188 Batch [0249]/[0303]: acc-top1=31.412500 acc-top5=57.387500 Batch [0299]/[0303]: acc-top1=30.953125 acc-top5=57.421875 [Epoch 071] training: accuracy=30.866024 loss=3.183636 [Epoch 071] speed: 163 samples/sec time cost: 1590.819278 [Epoch 071] validation: acc-top1=31.054043 acc-top5=57.503094 loss=3.333873 Epoch[072] Batch [0049]/[3759] 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accuracy=30.690625 loss=3.184575 lr=0.086932 Epoch[072] Batch [0549]/[3759] Speed: 163.918135 samples/sec accuracy=30.619318 loss=3.185565 lr=0.086923 Epoch[072] Batch [0599]/[3759] Speed: 162.725714 samples/sec accuracy=30.687500 loss=3.186666 lr=0.086915 Epoch[072] Batch [0649]/[3759] Speed: 166.129046 samples/sec accuracy=30.723558 loss=3.186444 lr=0.086906 Epoch[072] Batch [0699]/[3759] Speed: 162.746590 samples/sec accuracy=30.709821 loss=3.184097 lr=0.086897 Epoch[072] Batch [0749]/[3759] Speed: 163.547621 samples/sec accuracy=30.827083 loss=3.178753 lr=0.086889 Epoch[072] Batch [0799]/[3759] Speed: 164.590086 samples/sec accuracy=30.841797 loss=3.181165 lr=0.086880 Epoch[072] Batch [0849]/[3759] Speed: 160.968107 samples/sec accuracy=30.915441 loss=3.177536 lr=0.086871 Epoch[072] Batch [0899]/[3759] Speed: 167.059168 samples/sec accuracy=30.897569 loss=3.178528 lr=0.086863 Epoch[072] Batch [0949]/[3759] Speed: 163.955638 samples/sec accuracy=30.944079 loss=3.176393 lr=0.086854 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loss=3.176812 lr=0.086688 Epoch[072] Batch [1949]/[3759] Speed: 163.405159 samples/sec accuracy=30.860577 loss=3.177100 lr=0.086679 Epoch[072] Batch [1999]/[3759] Speed: 161.245832 samples/sec accuracy=30.857031 loss=3.178336 lr=0.086670 Epoch[072] Batch [2049]/[3759] Speed: 164.662814 samples/sec accuracy=30.833841 loss=3.179186 lr=0.086661 Epoch[072] Batch [2099]/[3759] Speed: 163.107640 samples/sec accuracy=30.813244 loss=3.179636 lr=0.086653 Epoch[072] Batch [2149]/[3759] Speed: 165.837239 samples/sec accuracy=30.845930 loss=3.178523 lr=0.086644 Epoch[072] Batch [2199]/[3759] Speed: 164.520997 samples/sec accuracy=30.856534 loss=3.178884 lr=0.086635 Epoch[072] Batch [2249]/[3759] Speed: 163.061978 samples/sec accuracy=30.853472 loss=3.179728 lr=0.086626 Epoch[072] Batch [2299]/[3759] Speed: 163.547509 samples/sec accuracy=30.846467 loss=3.179785 lr=0.086618 Epoch[072] Batch [2349]/[3759] Speed: 162.804708 samples/sec accuracy=30.860372 loss=3.179520 lr=0.086609 Epoch[072] Batch 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accuracy=30.823465 loss=3.182919 lr=0.086521 Epoch[072] Batch [2899]/[3759] Speed: 162.937974 samples/sec accuracy=30.829741 loss=3.182546 lr=0.086512 Epoch[072] Batch [2949]/[3759] Speed: 164.430233 samples/sec accuracy=30.820975 loss=3.183793 lr=0.086503 Epoch[072] Batch [2999]/[3759] Speed: 164.297114 samples/sec accuracy=30.827604 loss=3.183621 lr=0.086494 Epoch[072] Batch [3049]/[3759] Speed: 164.379448 samples/sec accuracy=30.820697 loss=3.183832 lr=0.086486 Epoch[072] Batch [3099]/[3759] Speed: 163.198958 samples/sec accuracy=30.807964 loss=3.184360 lr=0.086477 Epoch[072] Batch [3149]/[3759] Speed: 162.610124 samples/sec accuracy=30.800595 loss=3.185609 lr=0.086468 Epoch[072] Batch [3199]/[3759] Speed: 164.890409 samples/sec accuracy=30.795410 loss=3.185290 lr=0.086459 Epoch[072] Batch [3249]/[3759] Speed: 163.598698 samples/sec accuracy=30.779808 loss=3.185340 lr=0.086450 Epoch[072] Batch [3299]/[3759] Speed: 162.845701 samples/sec accuracy=30.769886 loss=3.185763 lr=0.086441 Epoch[072] Batch [3349]/[3759] Speed: 163.573530 samples/sec accuracy=30.787313 loss=3.185840 lr=0.086433 Epoch[072] Batch [3399]/[3759] Speed: 161.120676 samples/sec accuracy=30.776195 loss=3.186498 lr=0.086424 Epoch[072] Batch [3449]/[3759] Speed: 162.499455 samples/sec accuracy=30.802536 loss=3.185718 lr=0.086415 Epoch[072] Batch [3499]/[3759] Speed: 163.703031 samples/sec accuracy=30.805804 loss=3.185308 lr=0.086406 Epoch[072] Batch [3549]/[3759] Speed: 163.156811 samples/sec accuracy=30.783011 loss=3.185941 lr=0.086397 Epoch[072] Batch [3599]/[3759] Speed: 166.141658 samples/sec accuracy=30.802083 loss=3.185466 lr=0.086388 Epoch[072] Batch [3649]/[3759] Speed: 162.504919 samples/sec accuracy=30.783390 loss=3.186719 lr=0.086380 Epoch[072] Batch [3699]/[3759] Speed: 163.649679 samples/sec accuracy=30.783784 loss=3.186702 lr=0.086371 Epoch[072] Batch [3749]/[3759] Speed: 175.347590 samples/sec accuracy=30.790417 loss=3.186222 lr=0.086362 Batch [0049]/[0303]: acc-top1=30.593750 acc-top5=57.218750 Batch [0099]/[0303]: acc-top1=29.265625 acc-top5=54.890625 Batch [0149]/[0303]: acc-top1=31.208333 acc-top5=56.489583 Batch [0199]/[0303]: acc-top1=33.226562 acc-top5=58.679688 Batch [0249]/[0303]: acc-top1=32.593750 acc-top5=58.425000 Batch [0299]/[0303]: acc-top1=32.145833 acc-top5=58.322917 [Epoch 072] training: accuracy=30.797336 loss=3.185889 [Epoch 072] speed: 163 samples/sec time cost: 1591.994425 [Epoch 072] validation: acc-top1=32.106023 acc-top5=58.323020 loss=3.319246 Epoch[073] Batch [0049]/[3760] Speed: 114.108114 samples/sec accuracy=32.093750 loss=3.088833 lr=0.086351 Epoch[073] Batch [0099]/[3760] Speed: 162.866866 samples/sec accuracy=31.843750 loss=3.107098 lr=0.086343 Epoch[073] Batch [0149]/[3760] Speed: 163.810319 samples/sec accuracy=31.406250 loss=3.113617 lr=0.086334 Epoch[073] Batch [0199]/[3760] Speed: 164.487614 samples/sec accuracy=31.281250 loss=3.124299 lr=0.086325 Epoch[073] Batch [0249]/[3760] Speed: 162.391830 samples/sec 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accuracy=30.996995 loss=3.169990 lr=0.085897 Epoch[073] Batch [2649]/[3760] Speed: 162.118438 samples/sec accuracy=30.986439 loss=3.170442 lr=0.085888 Epoch[073] Batch [2699]/[3760] Speed: 164.660034 samples/sec accuracy=30.960069 loss=3.170829 lr=0.085879 Epoch[073] Batch [2749]/[3760] Speed: 162.507128 samples/sec accuracy=30.951705 loss=3.171388 lr=0.085870 Epoch[073] Batch [2799]/[3760] Speed: 165.104631 samples/sec accuracy=30.975446 loss=3.170860 lr=0.085861 Epoch[073] Batch [2849]/[3760] Speed: 162.738723 samples/sec accuracy=30.983004 loss=3.170866 lr=0.085852 Epoch[073] Batch [2899]/[3760] Speed: 162.916707 samples/sec accuracy=30.971983 loss=3.171052 lr=0.085843 Epoch[073] Batch [2949]/[3760] Speed: 163.166659 samples/sec accuracy=30.996292 loss=3.170716 lr=0.085834 Epoch[073] Batch [2999]/[3760] Speed: 161.273096 samples/sec accuracy=30.971354 loss=3.171014 lr=0.085825 Epoch[073] Batch [3049]/[3760] Speed: 165.767568 samples/sec accuracy=30.989242 loss=3.170387 lr=0.085816 Epoch[073] Batch [3099]/[3760] Speed: 164.476779 samples/sec accuracy=31.003024 loss=3.170153 lr=0.085807 Epoch[073] Batch [3149]/[3760] Speed: 163.619744 samples/sec accuracy=30.992560 loss=3.170076 lr=0.085798 Epoch[073] Batch [3199]/[3760] Speed: 163.964513 samples/sec accuracy=31.007324 loss=3.170040 lr=0.085789 Epoch[073] Batch [3249]/[3760] Speed: 163.493751 samples/sec accuracy=31.001923 loss=3.169786 lr=0.085780 Epoch[073] Batch [3299]/[3760] Speed: 163.338589 samples/sec accuracy=30.995265 loss=3.170244 lr=0.085771 Epoch[073] Batch [3349]/[3760] Speed: 163.210625 samples/sec accuracy=30.984142 loss=3.170703 lr=0.085762 Epoch[073] Batch [3399]/[3760] Speed: 165.272297 samples/sec accuracy=30.990809 loss=3.170629 lr=0.085753 Epoch[073] Batch [3449]/[3760] Speed: 165.512664 samples/sec accuracy=30.971467 loss=3.171695 lr=0.085744 Epoch[073] Batch [3499]/[3760] Speed: 163.270534 samples/sec accuracy=30.962054 loss=3.171642 lr=0.085735 Epoch[073] Batch [3549]/[3760] Speed: 163.898023 samples/sec accuracy=30.975352 loss=3.171446 lr=0.085726 Epoch[073] Batch [3599]/[3760] Speed: 165.085312 samples/sec accuracy=30.975694 loss=3.171545 lr=0.085717 Epoch[073] Batch [3649]/[3760] Speed: 162.013930 samples/sec accuracy=30.992295 loss=3.171108 lr=0.085708 Epoch[073] Batch [3699]/[3760] Speed: 165.309990 samples/sec accuracy=30.987753 loss=3.170685 lr=0.085699 Epoch[073] Batch [3749]/[3760] Speed: 174.789613 samples/sec accuracy=30.992083 loss=3.170610 lr=0.085690 Batch [0049]/[0303]: acc-top1=32.625000 acc-top5=56.968750 Batch [0099]/[0303]: acc-top1=30.640625 acc-top5=56.265625 Batch [0149]/[0303]: acc-top1=32.125000 acc-top5=57.677083 Batch [0199]/[0303]: acc-top1=34.125000 acc-top5=59.601563 Batch [0249]/[0303]: acc-top1=32.962500 acc-top5=59.450000 Batch [0299]/[0303]: acc-top1=32.015625 acc-top5=59.244792 [Epoch 073] training: accuracy=31.000665 loss=3.170185 [Epoch 073] speed: 162 samples/sec time cost: 1592.744570 [Epoch 073] validation: acc-top1=32.054455 acc-top5=59.261551 loss=3.363120 Epoch[074] Batch [0049]/[3760] Speed: 114.918617 samples/sec accuracy=30.687500 loss=3.140413 lr=0.085679 Epoch[074] Batch [0099]/[3760] Speed: 163.344587 samples/sec accuracy=30.500000 loss=3.195573 lr=0.085670 Epoch[074] Batch [0149]/[3760] Speed: 166.400155 samples/sec accuracy=30.947917 loss=3.165315 lr=0.085661 Epoch[074] Batch [0199]/[3760] Speed: 164.140791 samples/sec accuracy=30.937500 loss=3.163084 lr=0.085652 Epoch[074] Batch [0249]/[3760] Speed: 161.995163 samples/sec accuracy=31.087500 loss=3.151174 lr=0.085643 Epoch[074] Batch [0299]/[3760] Speed: 166.080191 samples/sec accuracy=31.145833 loss=3.148329 lr=0.085634 Epoch[074] Batch [0349]/[3760] Speed: 161.931208 samples/sec accuracy=31.205357 loss=3.145444 lr=0.085624 Epoch[074] Batch [0399]/[3760] Speed: 166.199886 samples/sec accuracy=31.195312 loss=3.152548 lr=0.085615 Epoch[074] Batch [0449]/[3760] Speed: 164.052768 samples/sec accuracy=31.281250 loss=3.152410 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Speed: 164.077075 samples/sec accuracy=31.325658 loss=3.153582 lr=0.085516 Epoch[074] Batch [0999]/[3760] Speed: 163.544737 samples/sec accuracy=31.307812 loss=3.155900 lr=0.085507 Epoch[074] Batch [1049]/[3760] Speed: 163.915327 samples/sec accuracy=31.229167 loss=3.158989 lr=0.085498 Epoch[074] Batch [1099]/[3760] Speed: 166.206937 samples/sec accuracy=31.255682 loss=3.159910 lr=0.085488 Epoch[074] Batch [1149]/[3760] Speed: 163.400470 samples/sec accuracy=31.226902 loss=3.159842 lr=0.085479 Epoch[074] Batch [1199]/[3760] Speed: 165.800782 samples/sec accuracy=31.205729 loss=3.159920 lr=0.085470 Epoch[074] Batch [1249]/[3760] Speed: 166.178280 samples/sec accuracy=31.200000 loss=3.160286 lr=0.085461 Epoch[074] Batch [1299]/[3760] Speed: 164.363187 samples/sec accuracy=31.195913 loss=3.159311 lr=0.085452 Epoch[074] Batch [1349]/[3760] Speed: 162.908581 samples/sec accuracy=31.194444 loss=3.157685 lr=0.085443 Epoch[074] Batch [1399]/[3760] Speed: 164.282214 samples/sec accuracy=31.231027 loss=3.158480 lr=0.085434 Epoch[074] Batch [1449]/[3760] Speed: 164.179787 samples/sec accuracy=31.233836 loss=3.158530 lr=0.085425 Epoch[074] Batch [1499]/[3760] Speed: 164.052008 samples/sec accuracy=31.262500 loss=3.157906 lr=0.085416 Epoch[074] Batch [1549]/[3760] Speed: 162.355354 samples/sec accuracy=31.280242 loss=3.156705 lr=0.085407 Epoch[074] Batch [1599]/[3760] Speed: 164.701306 samples/sec accuracy=31.294922 loss=3.155716 lr=0.085397 Epoch[074] Batch [1649]/[3760] Speed: 164.355781 samples/sec accuracy=31.300189 loss=3.154312 lr=0.085388 Epoch[074] Batch [1699]/[3760] Speed: 164.541335 samples/sec accuracy=31.299632 loss=3.155260 lr=0.085379 Epoch[074] Batch [1749]/[3760] Speed: 161.939232 samples/sec accuracy=31.329464 loss=3.154194 lr=0.085370 Epoch[074] Batch [1799]/[3760] Speed: 164.217940 samples/sec accuracy=31.339410 loss=3.154368 lr=0.085361 Epoch[074] Batch [1849]/[3760] Speed: 164.699594 samples/sec accuracy=31.331926 loss=3.155572 lr=0.085352 Epoch[074] Batch [1899]/[3760] Speed: 163.093858 samples/sec accuracy=31.328125 loss=3.156437 lr=0.085343 Epoch[074] Batch [1949]/[3760] Speed: 164.669901 samples/sec accuracy=31.291667 loss=3.157363 lr=0.085334 Epoch[074] Batch [1999]/[3760] Speed: 164.216909 samples/sec accuracy=31.303906 loss=3.157629 lr=0.085325 Epoch[074] Batch [2049]/[3760] Speed: 164.151343 samples/sec accuracy=31.301067 loss=3.158665 lr=0.085315 Epoch[074] Batch [2099]/[3760] Speed: 164.709187 samples/sec accuracy=31.311756 loss=3.158368 lr=0.085306 Epoch[074] Batch [2149]/[3760] Speed: 163.741925 samples/sec accuracy=31.282703 loss=3.159948 lr=0.085297 Epoch[074] Batch [2199]/[3760] Speed: 163.887116 samples/sec accuracy=31.259943 loss=3.161283 lr=0.085288 Epoch[074] Batch [2249]/[3760] Speed: 162.164429 samples/sec accuracy=31.202083 loss=3.163164 lr=0.085279 Epoch[074] Batch [2299]/[3760] Speed: 164.046745 samples/sec accuracy=31.208560 loss=3.163019 lr=0.085270 Epoch[074] Batch [2349]/[3760] Speed: 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loss=3.162491 lr=0.085178 Epoch[074] Batch [2849]/[3760] Speed: 165.201615 samples/sec accuracy=31.253289 loss=3.162537 lr=0.085169 Epoch[074] Batch [2899]/[3760] Speed: 164.248745 samples/sec accuracy=31.243534 loss=3.164012 lr=0.085160 Epoch[074] Batch [2949]/[3760] Speed: 163.043921 samples/sec accuracy=31.237818 loss=3.164743 lr=0.085151 Epoch[074] Batch [2999]/[3760] Speed: 161.584708 samples/sec accuracy=31.232292 loss=3.164708 lr=0.085142 Epoch[074] Batch [3049]/[3760] Speed: 165.146630 samples/sec accuracy=31.244365 loss=3.163458 lr=0.085132 Epoch[074] Batch [3099]/[3760] Speed: 163.655482 samples/sec accuracy=31.230343 loss=3.164314 lr=0.085123 Epoch[074] Batch [3149]/[3760] Speed: 163.720146 samples/sec accuracy=31.226687 loss=3.164680 lr=0.085114 Epoch[074] Batch [3199]/[3760] Speed: 165.457244 samples/sec accuracy=31.233398 loss=3.164736 lr=0.085105 Epoch[074] Batch [3249]/[3760] Speed: 163.578801 samples/sec accuracy=31.224519 loss=3.165189 lr=0.085096 Epoch[074] Batch 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accuracy=31.218750 loss=3.165693 lr=0.085004 Batch [0049]/[0303]: acc-top1=33.031250 acc-top5=60.062500 Batch [0099]/[0303]: acc-top1=31.578125 acc-top5=57.656250 Batch [0149]/[0303]: acc-top1=33.229167 acc-top5=58.812500 Batch [0199]/[0303]: acc-top1=35.554688 acc-top5=60.890625 Batch [0249]/[0303]: acc-top1=34.087500 acc-top5=60.318750 Batch [0299]/[0303]: acc-top1=33.348958 acc-top5=60.432292 [Epoch 074] training: accuracy=31.214262 loss=3.165797 [Epoch 074] speed: 163 samples/sec time cost: 1589.284975 [Epoch 074] validation: acc-top1=33.333333 acc-top5=60.411510 loss=3.241457 Epoch[075] Batch [0049]/[3759] Speed: 115.238319 samples/sec accuracy=30.375000 loss=3.221868 lr=0.084993 Epoch[075] Batch [0099]/[3759] Speed: 165.148646 samples/sec accuracy=31.187500 loss=3.163288 lr=0.084983 Epoch[075] Batch [0149]/[3759] Speed: 161.615909 samples/sec accuracy=31.333333 loss=3.160074 lr=0.084974 Epoch[075] Batch [0199]/[3759] Speed: 164.551658 samples/sec accuracy=31.468750 loss=3.162356 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accuracy=31.467391 loss=3.155023 lr=0.084789 Epoch[075] Batch [1199]/[3759] Speed: 163.724074 samples/sec accuracy=31.455729 loss=3.156283 lr=0.084780 Epoch[075] Batch [1249]/[3759] Speed: 163.493480 samples/sec accuracy=31.470000 loss=3.155192 lr=0.084771 Epoch[075] Batch [1299]/[3759] Speed: 163.349950 samples/sec accuracy=31.431490 loss=3.155319 lr=0.084762 Epoch[075] Batch [1349]/[3759] Speed: 161.864975 samples/sec accuracy=31.461806 loss=3.155286 lr=0.084752 Epoch[075] Batch [1399]/[3759] Speed: 162.728028 samples/sec accuracy=31.438616 loss=3.157002 lr=0.084743 Epoch[075] Batch [1449]/[3759] Speed: 162.437780 samples/sec accuracy=31.420259 loss=3.159709 lr=0.084734 Epoch[075] Batch [1499]/[3759] Speed: 164.935243 samples/sec accuracy=31.381250 loss=3.160756 lr=0.084724 Epoch[075] Batch [1549]/[3759] Speed: 164.348161 samples/sec accuracy=31.408266 loss=3.157598 lr=0.084715 Epoch[075] Batch [1599]/[3759] Speed: 163.579208 samples/sec accuracy=31.458008 loss=3.157172 lr=0.084706 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loss=3.156701 lr=0.084529 Epoch[075] Batch [2599]/[3759] Speed: 164.658076 samples/sec accuracy=31.378606 loss=3.157229 lr=0.084520 Epoch[075] Batch [2649]/[3759] Speed: 164.893596 samples/sec accuracy=31.383844 loss=3.158190 lr=0.084510 Epoch[075] Batch [2699]/[3759] Speed: 164.276148 samples/sec accuracy=31.378472 loss=3.158515 lr=0.084501 Epoch[075] Batch [2749]/[3759] Speed: 163.478045 samples/sec accuracy=31.356818 loss=3.158389 lr=0.084492 Epoch[075] Batch [2799]/[3759] Speed: 164.736541 samples/sec accuracy=31.352679 loss=3.157809 lr=0.084482 Epoch[075] Batch [2849]/[3759] Speed: 165.656810 samples/sec accuracy=31.311404 loss=3.159039 lr=0.084473 Epoch[075] Batch [2899]/[3759] Speed: 163.177629 samples/sec accuracy=31.302802 loss=3.159432 lr=0.084464 Epoch[075] Batch [2949]/[3759] Speed: 163.765124 samples/sec accuracy=31.300318 loss=3.159523 lr=0.084454 Epoch[075] Batch [2999]/[3759] Speed: 165.120027 samples/sec accuracy=31.294792 loss=3.160103 lr=0.084445 Epoch[075] Batch 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accuracy=31.241518 loss=3.162931 lr=0.084351 Epoch[075] Batch [3549]/[3759] Speed: 164.721016 samples/sec accuracy=31.236356 loss=3.163249 lr=0.084342 Epoch[075] Batch [3599]/[3759] Speed: 164.197151 samples/sec accuracy=31.238715 loss=3.162343 lr=0.084333 Epoch[075] Batch [3649]/[3759] Speed: 162.956310 samples/sec accuracy=31.246147 loss=3.161880 lr=0.084323 Epoch[075] Batch [3699]/[3759] Speed: 164.224020 samples/sec accuracy=31.254645 loss=3.161071 lr=0.084314 Epoch[075] Batch [3749]/[3759] Speed: 175.538313 samples/sec accuracy=31.243333 loss=3.161253 lr=0.084305 Batch [0049]/[0303]: acc-top1=27.062500 acc-top5=53.250000 Batch [0099]/[0303]: acc-top1=26.828125 acc-top5=52.015625 Batch [0149]/[0303]: acc-top1=29.322917 acc-top5=55.041667 Batch [0199]/[0303]: acc-top1=31.890625 acc-top5=57.093750 Batch [0249]/[0303]: acc-top1=30.875000 acc-top5=56.943750 Batch [0299]/[0303]: acc-top1=30.776042 acc-top5=57.333333 [Epoch 075] training: accuracy=31.238777 loss=3.161429 [Epoch 075] speed: 163 samples/sec time cost: 1589.351702 [Epoch 075] validation: acc-top1=30.677599 acc-top5=57.301980 loss=3.362666 Epoch[076] Batch [0049]/[3760] Speed: 115.033817 samples/sec accuracy=31.125000 loss=3.128159 lr=0.084293 Epoch[076] Batch [0099]/[3760] Speed: 163.415517 samples/sec accuracy=31.609375 loss=3.106261 lr=0.084284 Epoch[076] Batch [0149]/[3760] Speed: 164.709175 samples/sec accuracy=31.687500 loss=3.138229 lr=0.084275 Epoch[076] Batch [0199]/[3760] Speed: 165.141704 samples/sec accuracy=31.281250 loss=3.151329 lr=0.084265 Epoch[076] Batch [0249]/[3760] Speed: 161.966613 samples/sec accuracy=31.337500 loss=3.152736 lr=0.084256 Epoch[076] Batch [0299]/[3760] Speed: 165.723183 samples/sec accuracy=31.348958 loss=3.157207 lr=0.084246 Epoch[076] Batch [0349]/[3760] Speed: 164.066094 samples/sec accuracy=31.285714 loss=3.154363 lr=0.084237 Epoch[076] Batch [0399]/[3760] Speed: 163.129358 samples/sec accuracy=31.367188 loss=3.150821 lr=0.084228 Epoch[076] Batch [0449]/[3760] 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accuracy=31.338542 loss=3.150094 lr=0.084134 Epoch[076] Batch [0949]/[3760] Speed: 163.401342 samples/sec accuracy=31.358553 loss=3.149018 lr=0.084124 Epoch[076] Batch [0999]/[3760] Speed: 164.355137 samples/sec accuracy=31.346875 loss=3.148003 lr=0.084115 Epoch[076] Batch [1049]/[3760] Speed: 164.921431 samples/sec accuracy=31.348214 loss=3.151044 lr=0.084105 Epoch[076] Batch [1099]/[3760] Speed: 164.420548 samples/sec accuracy=31.308239 loss=3.151400 lr=0.084096 Epoch[076] Batch [1149]/[3760] Speed: 161.944399 samples/sec accuracy=31.274457 loss=3.153564 lr=0.084086 Epoch[076] Batch [1199]/[3760] Speed: 164.301277 samples/sec accuracy=31.251302 loss=3.151774 lr=0.084077 Epoch[076] Batch [1249]/[3760] Speed: 163.979030 samples/sec accuracy=31.265000 loss=3.151501 lr=0.084068 Epoch[076] Batch [1299]/[3760] Speed: 163.565746 samples/sec accuracy=31.233173 loss=3.153345 lr=0.084058 Epoch[076] Batch [1349]/[3760] Speed: 163.039978 samples/sec accuracy=31.288194 loss=3.152126 lr=0.084049 Epoch[076] Batch [1399]/[3760] Speed: 163.950545 samples/sec accuracy=31.319196 loss=3.151782 lr=0.084039 Epoch[076] Batch [1449]/[3760] Speed: 165.375024 samples/sec accuracy=31.314655 loss=3.150657 lr=0.084030 Epoch[076] Batch [1499]/[3760] Speed: 163.546423 samples/sec accuracy=31.323958 loss=3.150610 lr=0.084020 Epoch[076] Batch [1549]/[3760] Speed: 164.250615 samples/sec accuracy=31.355847 loss=3.148682 lr=0.084011 Epoch[076] Batch [1599]/[3760] Speed: 165.008213 samples/sec accuracy=31.336914 loss=3.149860 lr=0.084001 Epoch[076] Batch [1649]/[3760] Speed: 164.238053 samples/sec accuracy=31.362689 loss=3.149722 lr=0.083992 Epoch[076] Batch [1699]/[3760] Speed: 163.716405 samples/sec accuracy=31.372243 loss=3.149311 lr=0.083982 Epoch[076] Batch [1749]/[3760] Speed: 165.647405 samples/sec accuracy=31.316071 loss=3.150702 lr=0.083973 Epoch[076] Batch [1799]/[3760] Speed: 160.601246 samples/sec accuracy=31.357639 loss=3.148694 lr=0.083964 Epoch[076] Batch [1849]/[3760] Speed: 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loss=3.150832 lr=0.083869 Epoch[076] Batch [2349]/[3760] Speed: 163.338470 samples/sec accuracy=31.365691 loss=3.151137 lr=0.083859 Epoch[076] Batch [2399]/[3760] Speed: 166.598093 samples/sec accuracy=31.369141 loss=3.151172 lr=0.083850 Epoch[076] Batch [2449]/[3760] Speed: 163.425416 samples/sec accuracy=31.376913 loss=3.150709 lr=0.083840 Epoch[076] Batch [2499]/[3760] Speed: 165.258866 samples/sec accuracy=31.391875 loss=3.150638 lr=0.083831 Epoch[076] Batch [2549]/[3760] Speed: 163.932534 samples/sec accuracy=31.377451 loss=3.151697 lr=0.083821 Epoch[076] Batch [2599]/[3760] Speed: 166.068992 samples/sec accuracy=31.376803 loss=3.151665 lr=0.083812 Epoch[076] Batch [2649]/[3760] Speed: 163.601093 samples/sec accuracy=31.393868 loss=3.150385 lr=0.083802 Epoch[076] Batch [2699]/[3760] Speed: 163.934138 samples/sec accuracy=31.382523 loss=3.150361 lr=0.083793 Epoch[076] Batch [2749]/[3760] Speed: 164.458758 samples/sec accuracy=31.394318 loss=3.149982 lr=0.083783 Epoch[076] Batch 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accuracy=31.364904 loss=3.153743 lr=0.083688 Epoch[076] Batch [3299]/[3760] Speed: 166.064868 samples/sec accuracy=31.361269 loss=3.153493 lr=0.083679 Epoch[076] Batch [3349]/[3760] Speed: 164.692495 samples/sec accuracy=31.364272 loss=3.153428 lr=0.083669 Epoch[076] Batch [3399]/[3760] Speed: 163.248172 samples/sec accuracy=31.360754 loss=3.153520 lr=0.083660 Epoch[076] Batch [3449]/[3760] Speed: 163.368837 samples/sec accuracy=31.346920 loss=3.154206 lr=0.083650 Epoch[076] Batch [3499]/[3760] Speed: 164.455413 samples/sec accuracy=31.348214 loss=3.154680 lr=0.083640 Epoch[076] Batch [3549]/[3760] Speed: 163.661471 samples/sec accuracy=31.350792 loss=3.154078 lr=0.083631 Epoch[076] Batch [3599]/[3760] Speed: 164.026035 samples/sec accuracy=31.350260 loss=3.154527 lr=0.083621 Epoch[076] Batch [3649]/[3760] Speed: 164.731778 samples/sec accuracy=31.366438 loss=3.153813 lr=0.083612 Epoch[076] Batch [3699]/[3760] Speed: 165.456234 samples/sec accuracy=31.365709 loss=3.154347 lr=0.083602 Epoch[076] Batch [3749]/[3760] Speed: 174.771519 samples/sec accuracy=31.335417 loss=3.155425 lr=0.083593 Batch [0049]/[0303]: acc-top1=29.562500 acc-top5=57.312500 Batch [0099]/[0303]: acc-top1=28.218750 acc-top5=56.265625 Batch [0149]/[0303]: acc-top1=31.260417 acc-top5=57.708333 Batch [0199]/[0303]: acc-top1=34.062500 acc-top5=60.117188 Batch [0249]/[0303]: acc-top1=33.550000 acc-top5=60.293750 Batch [0299]/[0303]: acc-top1=33.130208 acc-top5=60.203125 [Epoch 076] training: accuracy=31.335189 loss=3.155597 [Epoch 076] speed: 163 samples/sec time cost: 1587.968587 [Epoch 076] validation: acc-top1=33.178630 acc-top5=60.251650 loss=3.156674 Epoch[077] Batch [0049]/[3760] Speed: 115.797652 samples/sec accuracy=33.781250 loss=3.052611 lr=0.083581 Epoch[077] Batch [0099]/[3760] Speed: 165.999169 samples/sec accuracy=32.781250 loss=3.095263 lr=0.083572 Epoch[077] Batch [0149]/[3760] Speed: 164.059327 samples/sec accuracy=32.489583 loss=3.106085 lr=0.083562 Epoch[077] Batch [0199]/[3760] 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accuracy=31.610577 loss=3.133292 lr=0.083466 Epoch[077] Batch [0699]/[3760] Speed: 162.774773 samples/sec accuracy=31.662946 loss=3.129135 lr=0.083457 Epoch[077] Batch [0749]/[3760] Speed: 163.751178 samples/sec accuracy=31.602083 loss=3.130682 lr=0.083447 Epoch[077] Batch [0799]/[3760] Speed: 163.406566 samples/sec accuracy=31.658203 loss=3.129460 lr=0.083438 Epoch[077] Batch [0849]/[3760] Speed: 163.820610 samples/sec accuracy=31.737132 loss=3.129034 lr=0.083428 Epoch[077] Batch [0899]/[3760] Speed: 163.355177 samples/sec accuracy=31.722222 loss=3.131505 lr=0.083418 Epoch[077] Batch [0949]/[3760] Speed: 165.465696 samples/sec accuracy=31.745066 loss=3.131373 lr=0.083409 Epoch[077] Batch [0999]/[3760] Speed: 164.276962 samples/sec accuracy=31.739062 loss=3.130542 lr=0.083399 Epoch[077] Batch [1049]/[3760] Speed: 164.081142 samples/sec accuracy=31.784226 loss=3.130209 lr=0.083390 Epoch[077] Batch [1099]/[3760] Speed: 164.146920 samples/sec accuracy=31.769886 loss=3.128755 lr=0.083380 Epoch[077] Batch [1149]/[3760] Speed: 166.337567 samples/sec accuracy=31.754076 loss=3.130676 lr=0.083370 Epoch[077] Batch [1199]/[3760] Speed: 162.479998 samples/sec accuracy=31.760417 loss=3.129256 lr=0.083361 Epoch[077] Batch [1249]/[3760] Speed: 164.263110 samples/sec accuracy=31.763750 loss=3.129845 lr=0.083351 Epoch[077] Batch [1299]/[3760] Speed: 163.463025 samples/sec accuracy=31.707933 loss=3.134288 lr=0.083342 Epoch[077] Batch [1349]/[3760] Speed: 166.260999 samples/sec accuracy=31.681713 loss=3.135609 lr=0.083332 Epoch[077] Batch [1399]/[3760] Speed: 162.529617 samples/sec accuracy=31.720982 loss=3.134258 lr=0.083322 Epoch[077] Batch [1449]/[3760] Speed: 164.838711 samples/sec accuracy=31.710129 loss=3.134954 lr=0.083313 Epoch[077] Batch [1499]/[3760] Speed: 164.763446 samples/sec accuracy=31.692708 loss=3.134259 lr=0.083303 Epoch[077] Batch [1549]/[3760] Speed: 165.278445 samples/sec accuracy=31.664315 loss=3.133972 lr=0.083294 Epoch[077] Batch [1599]/[3760] Speed: 163.315320 samples/sec accuracy=31.642578 loss=3.135889 lr=0.083284 Epoch[077] Batch [1649]/[3760] Speed: 162.421430 samples/sec accuracy=31.645833 loss=3.136597 lr=0.083274 Epoch[077] Batch [1699]/[3760] Speed: 162.895174 samples/sec accuracy=31.593750 loss=3.137709 lr=0.083265 Epoch[077] Batch [1749]/[3760] Speed: 161.879751 samples/sec accuracy=31.619643 loss=3.137089 lr=0.083255 Epoch[077] Batch [1799]/[3760] Speed: 163.867731 samples/sec accuracy=31.600694 loss=3.138452 lr=0.083245 Epoch[077] Batch [1849]/[3760] Speed: 162.707883 samples/sec accuracy=31.598818 loss=3.138107 lr=0.083236 Epoch[077] Batch [1899]/[3760] Speed: 162.346437 samples/sec accuracy=31.578125 loss=3.138406 lr=0.083226 Epoch[077] Batch [1949]/[3760] Speed: 164.278517 samples/sec accuracy=31.558494 loss=3.139159 lr=0.083217 Epoch[077] Batch [1999]/[3760] Speed: 164.285687 samples/sec accuracy=31.587500 loss=3.139069 lr=0.083207 Epoch[077] Batch [2049]/[3760] Speed: 164.187503 samples/sec accuracy=31.569360 loss=3.139402 lr=0.083197 Epoch[077] Batch [2099]/[3760] Speed: 162.414849 samples/sec accuracy=31.550595 loss=3.140402 lr=0.083188 Epoch[077] Batch [2149]/[3760] Speed: 164.430152 samples/sec accuracy=31.564680 loss=3.139195 lr=0.083178 Epoch[077] Batch [2199]/[3760] Speed: 164.375104 samples/sec accuracy=31.562500 loss=3.140076 lr=0.083168 Epoch[077] Batch [2249]/[3760] Speed: 165.243643 samples/sec accuracy=31.563889 loss=3.140144 lr=0.083159 Epoch[077] Batch [2299]/[3760] Speed: 164.644677 samples/sec accuracy=31.565897 loss=3.139590 lr=0.083149 Epoch[077] Batch [2349]/[3760] Speed: 161.806734 samples/sec accuracy=31.545878 loss=3.139438 lr=0.083139 Epoch[077] Batch [2399]/[3760] Speed: 163.719734 samples/sec accuracy=31.551432 loss=3.139258 lr=0.083130 Epoch[077] Batch [2449]/[3760] Speed: 163.707769 samples/sec accuracy=31.542730 loss=3.140674 lr=0.083120 Epoch[077] Batch [2499]/[3760] Speed: 164.354076 samples/sec accuracy=31.551875 loss=3.140823 lr=0.083110 Epoch[077] Batch [2549]/[3760] Speed: 164.019388 samples/sec accuracy=31.549632 loss=3.141313 lr=0.083101 Epoch[077] Batch [2599]/[3760] Speed: 164.843108 samples/sec accuracy=31.563101 loss=3.139850 lr=0.083091 Epoch[077] Batch [2649]/[3760] Speed: 163.405060 samples/sec accuracy=31.547759 loss=3.140145 lr=0.083081 Epoch[077] Batch [2699]/[3760] Speed: 164.353943 samples/sec accuracy=31.559606 loss=3.140496 lr=0.083072 Epoch[077] Batch [2749]/[3760] Speed: 162.535575 samples/sec accuracy=31.543750 loss=3.141140 lr=0.083062 Epoch[077] Batch [2799]/[3760] Speed: 163.534967 samples/sec accuracy=31.545759 loss=3.141082 lr=0.083052 Epoch[077] Batch [2849]/[3760] Speed: 163.758794 samples/sec accuracy=31.530154 loss=3.142097 lr=0.083043 Epoch[077] Batch [2899]/[3760] Speed: 164.816572 samples/sec accuracy=31.533944 loss=3.142207 lr=0.083033 Epoch[077] Batch [2949]/[3760] Speed: 163.910182 samples/sec accuracy=31.516419 loss=3.142235 lr=0.083023 Epoch[077] Batch [2999]/[3760] Speed: 162.501471 samples/sec accuracy=31.510417 loss=3.142530 lr=0.083014 Epoch[077] Batch [3049]/[3760] Speed: 165.408748 samples/sec accuracy=31.502561 loss=3.142632 lr=0.083004 Epoch[077] Batch [3099]/[3760] Speed: 162.670979 samples/sec accuracy=31.491935 loss=3.143526 lr=0.082994 Epoch[077] Batch [3149]/[3760] Speed: 163.128474 samples/sec accuracy=31.490575 loss=3.144417 lr=0.082985 Epoch[077] Batch [3199]/[3760] Speed: 164.489114 samples/sec accuracy=31.498047 loss=3.144785 lr=0.082975 Epoch[077] Batch [3249]/[3760] Speed: 163.247512 samples/sec accuracy=31.503365 loss=3.145224 lr=0.082965 Epoch[077] Batch [3299]/[3760] Speed: 164.762432 samples/sec accuracy=31.515152 loss=3.144717 lr=0.082955 Epoch[077] Batch [3349]/[3760] Speed: 164.360923 samples/sec accuracy=31.502332 loss=3.145537 lr=0.082946 Epoch[077] Batch [3399]/[3760] Speed: 162.882074 samples/sec accuracy=31.511489 loss=3.145215 lr=0.082936 Epoch[077] Batch [3449]/[3760] Speed: 164.074585 samples/sec accuracy=31.502717 loss=3.145803 lr=0.082926 Epoch[077] Batch [3499]/[3760] Speed: 165.527691 samples/sec accuracy=31.507143 loss=3.145945 lr=0.082917 Epoch[077] Batch [3549]/[3760] Speed: 164.267615 samples/sec accuracy=31.522887 loss=3.144772 lr=0.082907 Epoch[077] Batch [3599]/[3760] Speed: 163.387547 samples/sec accuracy=31.525174 loss=3.144536 lr=0.082897 Epoch[077] Batch [3649]/[3760] Speed: 163.435941 samples/sec accuracy=31.544521 loss=3.144022 lr=0.082887 Epoch[077] Batch [3699]/[3760] Speed: 164.670325 samples/sec accuracy=31.523649 loss=3.144394 lr=0.082878 Epoch[077] Batch [3749]/[3760] Speed: 175.845981 samples/sec accuracy=31.509167 loss=3.145677 lr=0.082868 Batch [0049]/[0303]: acc-top1=35.031250 acc-top5=60.031250 Batch [0099]/[0303]: acc-top1=30.859375 acc-top5=56.750000 Batch [0149]/[0303]: acc-top1=31.114583 acc-top5=56.979167 Batch [0199]/[0303]: acc-top1=33.757812 acc-top5=59.164062 Batch [0249]/[0303]: acc-top1=32.831250 acc-top5=59.050000 Batch [0299]/[0303]: acc-top1=31.739583 acc-top5=58.359375 [Epoch 077] training: accuracy=31.498920 loss=3.146056 [Epoch 077] speed: 163 samples/sec time cost: 1591.084514 [Epoch 077] validation: acc-top1=31.734736 acc-top5=58.323020 loss=3.358320 Epoch[078] Batch [0049]/[3759] Speed: 116.449593 samples/sec accuracy=31.468750 loss=3.134480 lr=0.082856 Epoch[078] Batch [0099]/[3759] Speed: 163.723828 samples/sec accuracy=31.515625 loss=3.124284 lr=0.082847 Epoch[078] Batch [0149]/[3759] Speed: 164.103164 samples/sec accuracy=31.645833 loss=3.112984 lr=0.082837 Epoch[078] Batch [0199]/[3759] Speed: 164.946699 samples/sec accuracy=31.570312 loss=3.118323 lr=0.082827 Epoch[078] Batch [0249]/[3759] Speed: 162.809870 samples/sec accuracy=31.475000 loss=3.126713 lr=0.082817 Epoch[078] Batch [0299]/[3759] Speed: 163.430233 samples/sec accuracy=31.781250 loss=3.114933 lr=0.082808 Epoch[078] Batch [0349]/[3759] Speed: 165.874026 samples/sec accuracy=31.718750 loss=3.124966 lr=0.082798 Epoch[078] Batch [0399]/[3759] Speed: 163.544089 samples/sec accuracy=31.746094 loss=3.129470 lr=0.082788 Epoch[078] Batch [0449]/[3759] Speed: 165.209368 samples/sec accuracy=31.767361 loss=3.129113 lr=0.082779 Epoch[078] Batch [0499]/[3759] Speed: 163.516769 samples/sec accuracy=31.878125 loss=3.124739 lr=0.082769 Epoch[078] Batch [0549]/[3759] Speed: 164.606114 samples/sec accuracy=31.860795 loss=3.121258 lr=0.082759 Epoch[078] Batch [0599]/[3759] Speed: 165.717027 samples/sec accuracy=31.911458 loss=3.120743 lr=0.082749 Epoch[078] Batch [0649]/[3759] Speed: 162.472069 samples/sec accuracy=31.887019 loss=3.121217 lr=0.082740 Epoch[078] Batch [0699]/[3759] Speed: 163.628781 samples/sec accuracy=31.944196 loss=3.120688 lr=0.082730 Epoch[078] Batch [0749]/[3759] Speed: 164.520235 samples/sec accuracy=31.893750 loss=3.118782 lr=0.082720 Epoch[078] Batch [0799]/[3759] Speed: 162.650393 samples/sec accuracy=31.931641 loss=3.120214 lr=0.082710 Epoch[078] Batch [0849]/[3759] Speed: 161.631787 samples/sec accuracy=31.966912 loss=3.118716 lr=0.082701 Epoch[078] Batch [0899]/[3759] Speed: 163.829693 samples/sec accuracy=31.901042 loss=3.119259 lr=0.082691 Epoch[078] Batch [0949]/[3759] Speed: 165.730274 samples/sec accuracy=31.835526 loss=3.122134 lr=0.082681 Epoch[078] Batch [0999]/[3759] Speed: 164.340530 samples/sec accuracy=31.809375 loss=3.126496 lr=0.082671 Epoch[078] Batch [1049]/[3759] Speed: 164.102357 samples/sec accuracy=31.833333 loss=3.126590 lr=0.082662 Epoch[078] Batch [1099]/[3759] Speed: 163.526035 samples/sec accuracy=31.799716 loss=3.127739 lr=0.082652 Epoch[078] Batch [1149]/[3759] Speed: 164.387022 samples/sec accuracy=31.788043 loss=3.130312 lr=0.082642 Epoch[078] Batch [1199]/[3759] Speed: 164.650589 samples/sec accuracy=31.846354 loss=3.128641 lr=0.082632 Epoch[078] Batch [1249]/[3759] Speed: 164.979198 samples/sec accuracy=31.826250 loss=3.129415 lr=0.082622 Epoch[078] Batch [1299]/[3759] Speed: 163.091097 samples/sec accuracy=31.820913 loss=3.130063 lr=0.082613 Epoch[078] Batch [1349]/[3759] Speed: 163.830349 samples/sec accuracy=31.759259 loss=3.131826 lr=0.082603 Epoch[078] Batch [1399]/[3759] Speed: 165.081097 samples/sec accuracy=31.758929 loss=3.131456 lr=0.082593 Epoch[078] Batch [1449]/[3759] Speed: 162.353752 samples/sec accuracy=31.750000 loss=3.132328 lr=0.082583 Epoch[078] Batch [1499]/[3759] Speed: 164.616347 samples/sec accuracy=31.762500 loss=3.132222 lr=0.082574 Epoch[078] Batch [1549]/[3759] Speed: 162.919902 samples/sec accuracy=31.739919 loss=3.132618 lr=0.082564 Epoch[078] Batch [1599]/[3759] Speed: 164.341432 samples/sec accuracy=31.725586 loss=3.133069 lr=0.082554 Epoch[078] Batch [1649]/[3759] Speed: 164.617288 samples/sec accuracy=31.744318 loss=3.133239 lr=0.082544 Epoch[078] Batch [1699]/[3759] Speed: 164.464810 samples/sec accuracy=31.754596 loss=3.132615 lr=0.082534 Epoch[078] Batch [1749]/[3759] Speed: 163.881721 samples/sec accuracy=31.810714 loss=3.130026 lr=0.082525 Epoch[078] Batch [1799]/[3759] Speed: 163.414275 samples/sec accuracy=31.835069 loss=3.129001 lr=0.082515 Epoch[078] Batch [1849]/[3759] Speed: 164.066126 samples/sec accuracy=31.833615 loss=3.129250 lr=0.082505 Epoch[078] Batch [1899]/[3759] Speed: 165.498121 samples/sec accuracy=31.827303 loss=3.130998 lr=0.082495 Epoch[078] Batch [1949]/[3759] Speed: 165.620900 samples/sec accuracy=31.811699 loss=3.131931 lr=0.082485 Epoch[078] Batch [1999]/[3759] Speed: 164.275897 samples/sec accuracy=31.820312 loss=3.131086 lr=0.082476 Epoch[078] Batch [2049]/[3759] Speed: 162.001074 samples/sec accuracy=31.822409 loss=3.131607 lr=0.082466 Epoch[078] Batch [2099]/[3759] Speed: 160.856512 samples/sec accuracy=31.808036 loss=3.132352 lr=0.082456 Epoch[078] Batch [2149]/[3759] Speed: 165.731481 samples/sec accuracy=31.805959 loss=3.133213 lr=0.082446 Epoch[078] Batch [2199]/[3759] Speed: 166.587891 samples/sec accuracy=31.787642 loss=3.134260 lr=0.082436 Epoch[078] Batch [2249]/[3759] Speed: 163.737724 samples/sec accuracy=31.773611 loss=3.134825 lr=0.082427 Epoch[078] Batch 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accuracy=31.711364 loss=3.136807 lr=0.082328 Epoch[078] Batch [2799]/[3759] Speed: 164.018400 samples/sec accuracy=31.709821 loss=3.136191 lr=0.082318 Epoch[078] Batch [2849]/[3759] Speed: 162.732651 samples/sec accuracy=31.702851 loss=3.136623 lr=0.082309 Epoch[078] Batch [2899]/[3759] Speed: 161.291814 samples/sec accuracy=31.692349 loss=3.137746 lr=0.082299 Epoch[078] Batch [2949]/[3759] Speed: 164.753853 samples/sec accuracy=31.697564 loss=3.137407 lr=0.082289 Epoch[078] Batch [2999]/[3759] Speed: 165.141457 samples/sec accuracy=31.689062 loss=3.137576 lr=0.082279 Epoch[078] Batch [3049]/[3759] Speed: 163.651792 samples/sec accuracy=31.667520 loss=3.138731 lr=0.082269 Epoch[078] Batch [3099]/[3759] Speed: 163.979765 samples/sec accuracy=31.665323 loss=3.138134 lr=0.082259 Epoch[078] Batch [3149]/[3759] Speed: 164.390139 samples/sec accuracy=31.651290 loss=3.138707 lr=0.082249 Epoch[078] Batch [3199]/[3759] Speed: 163.559029 samples/sec accuracy=31.658203 loss=3.138376 lr=0.082240 Epoch[078] Batch [3249]/[3759] Speed: 165.088352 samples/sec accuracy=31.647596 loss=3.137867 lr=0.082230 Epoch[078] Batch [3299]/[3759] Speed: 163.346145 samples/sec accuracy=31.640152 loss=3.137778 lr=0.082220 Epoch[078] Batch [3349]/[3759] Speed: 163.458691 samples/sec accuracy=31.627332 loss=3.137677 lr=0.082210 Epoch[078] Batch [3399]/[3759] Speed: 165.302764 samples/sec accuracy=31.633732 loss=3.137885 lr=0.082200 Epoch[078] Batch [3449]/[3759] Speed: 163.029587 samples/sec accuracy=31.644928 loss=3.137688 lr=0.082190 Epoch[078] Batch [3499]/[3759] Speed: 164.550825 samples/sec accuracy=31.617857 loss=3.138569 lr=0.082180 Epoch[078] Batch [3549]/[3759] Speed: 163.609620 samples/sec accuracy=31.603873 loss=3.139529 lr=0.082171 Epoch[078] Batch [3599]/[3759] Speed: 163.371462 samples/sec accuracy=31.569444 loss=3.141088 lr=0.082161 Epoch[078] Batch [3649]/[3759] Speed: 162.249117 samples/sec accuracy=31.563356 loss=3.141273 lr=0.082151 Epoch[078] Batch [3699]/[3759] Speed: 163.208853 samples/sec accuracy=31.556588 loss=3.141849 lr=0.082141 Epoch[078] Batch [3749]/[3759] Speed: 176.062127 samples/sec accuracy=31.535417 loss=3.142409 lr=0.082131 Batch [0049]/[0303]: acc-top1=30.812500 acc-top5=57.968750 Batch [0099]/[0303]: acc-top1=29.359375 acc-top5=55.906250 Batch [0149]/[0303]: acc-top1=31.354167 acc-top5=57.645833 Batch [0199]/[0303]: acc-top1=33.789062 acc-top5=59.726562 Batch [0249]/[0303]: acc-top1=32.662500 acc-top5=59.200000 Batch [0299]/[0303]: acc-top1=32.296875 acc-top5=59.239583 [Epoch 078] training: accuracy=31.541800 loss=3.142222 [Epoch 078] speed: 163 samples/sec time cost: 1589.258959 [Epoch 078] validation: acc-top1=32.265883 acc-top5=59.235767 loss=3.337509 Epoch[079] Batch [0049]/[3760] Speed: 113.968349 samples/sec accuracy=32.718750 loss=3.105635 lr=0.082119 Epoch[079] Batch [0099]/[3760] Speed: 165.346292 samples/sec accuracy=31.968750 loss=3.123031 lr=0.082109 Epoch[079] Batch [0149]/[3760] Speed: 164.018733 samples/sec accuracy=31.906250 loss=3.121744 lr=0.082100 Epoch[079] Batch [0199]/[3760] Speed: 165.505361 samples/sec accuracy=31.929687 loss=3.114825 lr=0.082090 Epoch[079] Batch [0249]/[3760] Speed: 163.991482 samples/sec accuracy=32.387500 loss=3.102217 lr=0.082080 Epoch[079] Batch [0299]/[3760] Speed: 164.086703 samples/sec accuracy=32.114583 loss=3.109501 lr=0.082070 Epoch[079] Batch [0349]/[3760] Speed: 162.757354 samples/sec accuracy=31.933036 loss=3.110414 lr=0.082060 Epoch[079] Batch [0399]/[3760] Speed: 164.996159 samples/sec accuracy=31.890625 loss=3.116106 lr=0.082050 Epoch[079] Batch [0449]/[3760] Speed: 164.590878 samples/sec accuracy=31.704861 loss=3.123425 lr=0.082040 Epoch[079] Batch [0499]/[3760] Speed: 162.471609 samples/sec accuracy=31.775000 loss=3.117568 lr=0.082030 Epoch[079] Batch [0549]/[3760] Speed: 164.075753 samples/sec accuracy=31.886364 loss=3.116791 lr=0.082020 Epoch[079] Batch [0599]/[3760] Speed: 164.439177 samples/sec accuracy=31.809896 loss=3.117255 lr=0.082011 Epoch[079] Batch [0649]/[3760] Speed: 162.322389 samples/sec accuracy=31.800481 loss=3.119595 lr=0.082001 Epoch[079] Batch [0699]/[3760] Speed: 164.586064 samples/sec accuracy=31.720982 loss=3.122164 lr=0.081991 Epoch[079] Batch [0749]/[3760] Speed: 162.855256 samples/sec accuracy=31.783333 loss=3.124768 lr=0.081981 Epoch[079] Batch [0799]/[3760] Speed: 164.798122 samples/sec accuracy=31.800781 loss=3.128502 lr=0.081971 Epoch[079] Batch [0849]/[3760] Speed: 163.718602 samples/sec accuracy=31.753676 loss=3.131727 lr=0.081961 Epoch[079] Batch [0899]/[3760] Speed: 163.945920 samples/sec accuracy=31.765625 loss=3.129204 lr=0.081951 Epoch[079] Batch [0949]/[3760] Speed: 165.268461 samples/sec accuracy=31.702303 loss=3.131831 lr=0.081941 Epoch[079] Batch [0999]/[3760] Speed: 163.461363 samples/sec accuracy=31.785937 loss=3.127403 lr=0.081931 Epoch[079] Batch [1049]/[3760] Speed: 163.940187 samples/sec accuracy=31.809524 loss=3.127962 lr=0.081921 Epoch[079] Batch [1099]/[3760] Speed: 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loss=3.134496 lr=0.081822 Epoch[079] Batch [1599]/[3760] Speed: 165.513415 samples/sec accuracy=31.655273 loss=3.133288 lr=0.081812 Epoch[079] Batch [1649]/[3760] Speed: 163.568345 samples/sec accuracy=31.668561 loss=3.132286 lr=0.081802 Epoch[079] Batch [1699]/[3760] Speed: 164.099125 samples/sec accuracy=31.658088 loss=3.132495 lr=0.081792 Epoch[079] Batch [1749]/[3760] Speed: 162.671304 samples/sec accuracy=31.647321 loss=3.131589 lr=0.081782 Epoch[079] Batch [1799]/[3760] Speed: 165.738390 samples/sec accuracy=31.620660 loss=3.133262 lr=0.081772 Epoch[079] Batch [1849]/[3760] Speed: 162.888969 samples/sec accuracy=31.589527 loss=3.134304 lr=0.081762 Epoch[079] Batch [1899]/[3760] Speed: 163.344100 samples/sec accuracy=31.586349 loss=3.134637 lr=0.081752 Epoch[079] Batch [1949]/[3760] Speed: 163.805109 samples/sec accuracy=31.576122 loss=3.133978 lr=0.081742 Epoch[079] Batch [1999]/[3760] Speed: 164.247539 samples/sec accuracy=31.588281 loss=3.134053 lr=0.081732 Epoch[079] Batch 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accuracy=31.555625 loss=3.136013 lr=0.081632 Epoch[079] Batch [2549]/[3760] Speed: 162.913339 samples/sec accuracy=31.556373 loss=3.136871 lr=0.081622 Epoch[079] Batch [2599]/[3760] Speed: 165.786754 samples/sec accuracy=31.553486 loss=3.137203 lr=0.081612 Epoch[079] Batch [2649]/[3760] Speed: 164.892986 samples/sec accuracy=31.547170 loss=3.136979 lr=0.081603 Epoch[079] Batch [2699]/[3760] Speed: 164.931864 samples/sec accuracy=31.589120 loss=3.135795 lr=0.081593 Epoch[079] Batch [2749]/[3760] Speed: 164.027300 samples/sec accuracy=31.590341 loss=3.135766 lr=0.081583 Epoch[079] Batch [2799]/[3760] Speed: 164.150662 samples/sec accuracy=31.557478 loss=3.137557 lr=0.081573 Epoch[079] Batch [2849]/[3760] Speed: 162.912775 samples/sec accuracy=31.572368 loss=3.136962 lr=0.081563 Epoch[079] Batch [2899]/[3760] Speed: 162.968987 samples/sec accuracy=31.565733 loss=3.137587 lr=0.081553 Epoch[079] Batch [2949]/[3760] Speed: 165.506735 samples/sec accuracy=31.580508 loss=3.137027 lr=0.081542 Epoch[079] Batch [2999]/[3760] Speed: 163.517574 samples/sec accuracy=31.596875 loss=3.137236 lr=0.081532 Epoch[079] Batch [3049]/[3760] Speed: 164.701462 samples/sec accuracy=31.592213 loss=3.137400 lr=0.081522 Epoch[079] Batch [3099]/[3760] Speed: 163.195182 samples/sec accuracy=31.606855 loss=3.137545 lr=0.081512 Epoch[079] Batch [3149]/[3760] Speed: 162.713379 samples/sec accuracy=31.590774 loss=3.138052 lr=0.081502 Epoch[079] Batch [3199]/[3760] Speed: 163.844162 samples/sec accuracy=31.574219 loss=3.138698 lr=0.081492 Epoch[079] Batch [3249]/[3760] Speed: 163.337424 samples/sec accuracy=31.568269 loss=3.138672 lr=0.081482 Epoch[079] Batch [3299]/[3760] Speed: 164.765838 samples/sec accuracy=31.580492 loss=3.137932 lr=0.081472 Epoch[079] Batch [3349]/[3760] Speed: 162.923508 samples/sec accuracy=31.586287 loss=3.137692 lr=0.081462 Epoch[079] Batch [3399]/[3760] Speed: 165.235264 samples/sec accuracy=31.583180 loss=3.137911 lr=0.081452 Epoch[079] Batch [3449]/[3760] Speed: 162.695846 samples/sec accuracy=31.558877 loss=3.139333 lr=0.081442 Epoch[079] Batch [3499]/[3760] Speed: 165.122682 samples/sec accuracy=31.564732 loss=3.139512 lr=0.081432 Epoch[079] Batch [3549]/[3760] Speed: 165.200104 samples/sec accuracy=31.564261 loss=3.139619 lr=0.081422 Epoch[079] Batch [3599]/[3760] Speed: 164.003403 samples/sec accuracy=31.562066 loss=3.139456 lr=0.081412 Epoch[079] Batch [3649]/[3760] Speed: 164.692430 samples/sec accuracy=31.570205 loss=3.138952 lr=0.081402 Epoch[079] Batch [3699]/[3760] Speed: 162.808156 samples/sec accuracy=31.559122 loss=3.139033 lr=0.081392 Epoch[079] Batch [3749]/[3760] Speed: 174.458346 samples/sec accuracy=31.559167 loss=3.139544 lr=0.081382 Batch [0049]/[0303]: acc-top1=31.687500 acc-top5=58.187500 Batch [0099]/[0303]: acc-top1=29.593750 acc-top5=55.187500 Batch [0149]/[0303]: acc-top1=31.229167 acc-top5=56.770833 Batch [0199]/[0303]: acc-top1=34.117188 acc-top5=59.679688 Batch [0249]/[0303]: acc-top1=33.406250 acc-top5=59.868750 Batch [0299]/[0303]: acc-top1=32.875000 acc-top5=60.072917 [Epoch 079] training: accuracy=31.557513 loss=3.139430 [Epoch 079] speed: 163 samples/sec time cost: 1589.493561 [Epoch 079] validation: acc-top1=32.848597 acc-top5=60.127888 loss=3.224603 Epoch[080] Batch [0049]/[3760] Speed: 114.185993 samples/sec accuracy=32.625000 loss=3.062667 lr=0.081370 Epoch[080] Batch [0099]/[3760] Speed: 164.138029 samples/sec accuracy=32.296875 loss=3.088705 lr=0.081360 Epoch[080] Batch [0149]/[3760] Speed: 164.305951 samples/sec accuracy=32.614583 loss=3.077240 lr=0.081350 Epoch[080] Batch [0199]/[3760] Speed: 165.003261 samples/sec accuracy=32.296875 loss=3.090403 lr=0.081340 Epoch[080] Batch [0249]/[3760] Speed: 160.658682 samples/sec accuracy=32.237500 loss=3.103058 lr=0.081330 Epoch[080] Batch [0299]/[3760] Speed: 164.274515 samples/sec accuracy=32.234375 loss=3.101664 lr=0.081320 Epoch[080] Batch [0349]/[3760] Speed: 163.111954 samples/sec accuracy=32.232143 loss=3.097596 lr=0.081310 Epoch[080] 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samples/sec accuracy=31.944853 loss=3.116887 lr=0.081209 Epoch[080] Batch [0899]/[3760] Speed: 165.604895 samples/sec accuracy=31.968750 loss=3.118057 lr=0.081199 Epoch[080] Batch [0949]/[3760] Speed: 162.857381 samples/sec accuracy=31.927632 loss=3.120348 lr=0.081189 Epoch[080] Batch [0999]/[3760] Speed: 164.135845 samples/sec accuracy=31.920312 loss=3.121762 lr=0.081179 Epoch[080] Batch [1049]/[3760] Speed: 165.491405 samples/sec accuracy=31.930060 loss=3.121198 lr=0.081169 Epoch[080] Batch [1099]/[3760] Speed: 161.318497 samples/sec accuracy=31.901989 loss=3.121064 lr=0.081159 Epoch[080] Batch [1149]/[3760] Speed: 163.542135 samples/sec accuracy=31.960598 loss=3.119789 lr=0.081149 Epoch[080] Batch [1199]/[3760] Speed: 164.096734 samples/sec accuracy=31.930990 loss=3.120875 lr=0.081139 Epoch[080] Batch [1249]/[3760] Speed: 164.316796 samples/sec accuracy=31.948750 loss=3.122520 lr=0.081128 Epoch[080] Batch [1299]/[3760] Speed: 164.535411 samples/sec accuracy=31.908654 loss=3.124278 lr=0.081118 Epoch[080] Batch [1349]/[3760] Speed: 163.562337 samples/sec accuracy=31.887731 loss=3.124329 lr=0.081108 Epoch[080] Batch [1399]/[3760] Speed: 165.477835 samples/sec accuracy=31.851563 loss=3.124398 lr=0.081098 Epoch[080] Batch [1449]/[3760] Speed: 164.820153 samples/sec accuracy=31.815733 loss=3.124469 lr=0.081088 Epoch[080] Batch [1499]/[3760] Speed: 163.724146 samples/sec accuracy=31.843750 loss=3.123631 lr=0.081078 Epoch[080] Batch [1549]/[3760] Speed: 164.058188 samples/sec accuracy=31.843750 loss=3.124076 lr=0.081068 Epoch[080] Batch [1599]/[3760] Speed: 164.793804 samples/sec accuracy=31.858398 loss=3.124743 lr=0.081058 Epoch[080] Batch [1649]/[3760] Speed: 164.244597 samples/sec accuracy=31.814394 loss=3.125869 lr=0.081048 Epoch[080] Batch [1699]/[3760] Speed: 162.649583 samples/sec accuracy=31.818934 loss=3.128076 lr=0.081038 Epoch[080] Batch [1749]/[3760] Speed: 162.638297 samples/sec accuracy=31.803571 loss=3.127927 lr=0.081027 Epoch[080] Batch [1799]/[3760] Speed: 164.199212 samples/sec accuracy=31.796007 loss=3.127041 lr=0.081017 Epoch[080] Batch [1849]/[3760] Speed: 164.011109 samples/sec accuracy=31.790541 loss=3.126455 lr=0.081007 Epoch[080] Batch [1899]/[3760] Speed: 166.006387 samples/sec accuracy=31.800987 loss=3.125547 lr=0.080997 Epoch[080] Batch [1949]/[3760] Speed: 162.916186 samples/sec accuracy=31.797276 loss=3.125494 lr=0.080987 Epoch[080] Batch [1999]/[3760] Speed: 163.642195 samples/sec accuracy=31.817187 loss=3.124127 lr=0.080977 Epoch[080] Batch [2049]/[3760] Speed: 164.020823 samples/sec accuracy=31.769817 loss=3.126574 lr=0.080967 Epoch[080] Batch [2099]/[3760] Speed: 162.285844 samples/sec accuracy=31.774554 loss=3.126153 lr=0.080957 Epoch[080] Batch [2149]/[3760] Speed: 164.163130 samples/sec accuracy=31.800872 loss=3.124679 lr=0.080946 Epoch[080] Batch [2199]/[3760] Speed: 162.637696 samples/sec accuracy=31.775568 loss=3.124676 lr=0.080936 Epoch[080] Batch [2249]/[3760] Speed: 163.530623 samples/sec accuracy=31.785417 loss=3.125246 lr=0.080926 Epoch[080] Batch [2299]/[3760] Speed: 163.254984 samples/sec accuracy=31.775136 loss=3.125216 lr=0.080916 Epoch[080] Batch [2349]/[3760] Speed: 164.727411 samples/sec accuracy=31.763963 loss=3.126359 lr=0.080906 Epoch[080] Batch [2399]/[3760] Speed: 164.409412 samples/sec accuracy=31.759766 loss=3.127058 lr=0.080896 Epoch[080] Batch [2449]/[3760] Speed: 164.119436 samples/sec accuracy=31.769770 loss=3.126739 lr=0.080886 Epoch[080] Batch [2499]/[3760] Speed: 164.805788 samples/sec accuracy=31.782500 loss=3.127255 lr=0.080875 Epoch[080] Batch [2549]/[3760] Speed: 163.907498 samples/sec accuracy=31.798407 loss=3.125832 lr=0.080865 Epoch[080] Batch [2599]/[3760] Speed: 164.809714 samples/sec accuracy=31.786058 loss=3.126540 lr=0.080855 Epoch[080] Batch [2649]/[3760] Speed: 163.801867 samples/sec accuracy=31.775354 loss=3.127034 lr=0.080845 Epoch[080] Batch [2699]/[3760] Speed: 162.599177 samples/sec accuracy=31.784144 loss=3.126564 lr=0.080835 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loss=3.131031 lr=0.080642 Epoch[080] Batch [3699]/[3760] Speed: 163.757478 samples/sec accuracy=31.765203 loss=3.130836 lr=0.080631 Epoch[080] Batch [3749]/[3760] Speed: 176.080519 samples/sec accuracy=31.773333 loss=3.129956 lr=0.080621 Batch [0049]/[0303]: acc-top1=31.468750 acc-top5=56.562500 Batch [0099]/[0303]: acc-top1=29.156250 acc-top5=55.250000 Batch [0149]/[0303]: acc-top1=30.416667 acc-top5=56.687500 Batch [0199]/[0303]: acc-top1=33.289062 acc-top5=58.976562 Batch [0249]/[0303]: acc-top1=32.725000 acc-top5=59.237500 Batch [0299]/[0303]: acc-top1=32.213542 acc-top5=59.114583 [Epoch 080] training: accuracy=31.763215 loss=3.130436 [Epoch 080] speed: 163 samples/sec time cost: 1589.985193 [Epoch 080] validation: acc-top1=32.338078 acc-top5=59.117162 loss=3.275313 Epoch[081] Batch [0049]/[3759] Speed: 115.575905 samples/sec accuracy=33.500000 loss=3.061893 lr=0.080609 Epoch[081] Batch [0099]/[3759] Speed: 163.004237 samples/sec accuracy=33.000000 loss=3.065663 lr=0.080599 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accuracy=31.971094 loss=3.114116 lr=0.080210 Epoch[081] Batch [2049]/[3759] Speed: 164.297208 samples/sec accuracy=31.964939 loss=3.114332 lr=0.080199 Epoch[081] Batch [2099]/[3759] Speed: 164.231871 samples/sec accuracy=31.970982 loss=3.114113 lr=0.080189 Epoch[081] Batch [2149]/[3759] Speed: 164.802216 samples/sec accuracy=31.970203 loss=3.114016 lr=0.080179 Epoch[081] Batch [2199]/[3759] Speed: 163.310256 samples/sec accuracy=31.933239 loss=3.116193 lr=0.080169 Epoch[081] Batch [2249]/[3759] Speed: 165.873352 samples/sec accuracy=31.913194 loss=3.116687 lr=0.080158 Epoch[081] Batch [2299]/[3759] Speed: 164.523500 samples/sec accuracy=31.918478 loss=3.116403 lr=0.080148 Epoch[081] Batch [2349]/[3759] Speed: 165.105266 samples/sec accuracy=31.941489 loss=3.116488 lr=0.080138 Epoch[081] Batch [2399]/[3759] Speed: 163.607341 samples/sec accuracy=31.915365 loss=3.117782 lr=0.080127 Epoch[081] Batch [2449]/[3759] Speed: 164.727443 samples/sec accuracy=31.943878 loss=3.116791 lr=0.080117 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loss=3.120449 lr=0.079921 Epoch[081] Batch [3449]/[3759] Speed: 165.054576 samples/sec accuracy=31.838768 loss=3.121333 lr=0.079911 Epoch[081] Batch [3499]/[3759] Speed: 163.542041 samples/sec accuracy=31.833036 loss=3.121757 lr=0.079900 Epoch[081] Batch [3549]/[3759] Speed: 164.792981 samples/sec accuracy=31.838908 loss=3.121982 lr=0.079890 Epoch[081] Batch [3599]/[3759] Speed: 163.316035 samples/sec accuracy=31.830729 loss=3.122156 lr=0.079880 Epoch[081] Batch [3649]/[3759] Speed: 164.433712 samples/sec accuracy=31.826199 loss=3.122570 lr=0.079869 Epoch[081] Batch [3699]/[3759] Speed: 163.717384 samples/sec accuracy=31.809544 loss=3.123538 lr=0.079859 Epoch[081] Batch [3749]/[3759] Speed: 177.224188 samples/sec accuracy=31.806250 loss=3.123681 lr=0.079849 Batch [0049]/[0303]: acc-top1=33.312500 acc-top5=56.843750 Batch [0099]/[0303]: acc-top1=30.234375 acc-top5=54.109375 Batch [0149]/[0303]: acc-top1=32.135417 acc-top5=56.625000 Batch [0199]/[0303]: acc-top1=34.242188 acc-top5=58.476562 Batch [0249]/[0303]: acc-top1=33.543750 acc-top5=58.275000 Batch [0299]/[0303]: acc-top1=33.218750 acc-top5=58.531250 [Epoch 081] training: accuracy=31.801593 loss=3.123892 [Epoch 081] speed: 163 samples/sec time cost: 1589.427222 [Epoch 081] validation: acc-top1=33.183787 acc-top5=58.529290 loss=3.247195 Epoch[082] Batch [0049]/[3760] Speed: 114.632682 samples/sec accuracy=33.031250 loss=3.069987 lr=0.079837 Epoch[082] Batch [0099]/[3760] Speed: 165.288091 samples/sec accuracy=32.906250 loss=3.048646 lr=0.079826 Epoch[082] Batch [0149]/[3760] Speed: 165.023467 samples/sec accuracy=33.010417 loss=3.072233 lr=0.079816 Epoch[082] Batch [0199]/[3760] Speed: 163.438367 samples/sec accuracy=32.492188 loss=3.096560 lr=0.079805 Epoch[082] Batch [0249]/[3760] Speed: 164.068641 samples/sec accuracy=32.500000 loss=3.095597 lr=0.079795 Epoch[082] Batch [0299]/[3760] Speed: 165.105396 samples/sec accuracy=32.348958 loss=3.101608 lr=0.079785 Epoch[082] Batch [0349]/[3760] Speed: 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accuracy=32.389583 loss=3.102229 lr=0.078747 Epoch[083] Batch [1549]/[3760] Speed: 164.151873 samples/sec accuracy=32.379032 loss=3.104242 lr=0.078737 Epoch[083] Batch [1599]/[3760] Speed: 162.573636 samples/sec accuracy=32.382812 loss=3.104062 lr=0.078726 Epoch[083] Batch [1649]/[3760] Speed: 161.922034 samples/sec accuracy=32.417614 loss=3.103780 lr=0.078716 Epoch[083] Batch [1699]/[3760] Speed: 164.022329 samples/sec accuracy=32.363051 loss=3.108142 lr=0.078705 Epoch[083] Batch [1749]/[3760] Speed: 163.910448 samples/sec accuracy=32.340179 loss=3.109780 lr=0.078695 Epoch[083] Batch [1799]/[3760] Speed: 166.174327 samples/sec accuracy=32.354167 loss=3.110369 lr=0.078684 Epoch[083] Batch [1849]/[3760] Speed: 162.408443 samples/sec accuracy=32.343750 loss=3.110463 lr=0.078674 Epoch[083] Batch [1899]/[3760] Speed: 162.573723 samples/sec accuracy=32.311678 loss=3.110718 lr=0.078663 Epoch[083] Batch [1949]/[3760] Speed: 165.100908 samples/sec accuracy=32.346154 loss=3.108389 lr=0.078652 Epoch[083] Batch [1999]/[3760] Speed: 162.989257 samples/sec accuracy=32.316406 loss=3.110490 lr=0.078642 Epoch[083] Batch [2049]/[3760] Speed: 165.504849 samples/sec accuracy=32.296494 loss=3.110352 lr=0.078631 Epoch[083] Batch [2099]/[3760] Speed: 162.908184 samples/sec accuracy=32.273810 loss=3.110705 lr=0.078621 Epoch[083] Batch [2149]/[3760] Speed: 162.455088 samples/sec accuracy=32.282703 loss=3.110637 lr=0.078610 Epoch[083] Batch [2199]/[3760] Speed: 164.061146 samples/sec accuracy=32.272017 loss=3.110425 lr=0.078600 Epoch[083] Batch [2249]/[3760] Speed: 163.418549 samples/sec accuracy=32.270139 loss=3.110072 lr=0.078589 Epoch[083] Batch [2299]/[3760] Speed: 162.307849 samples/sec accuracy=32.246603 loss=3.110747 lr=0.078578 Epoch[083] Batch [2349]/[3760] Speed: 165.915333 samples/sec accuracy=32.250665 loss=3.110905 lr=0.078568 Epoch[083] Batch [2399]/[3760] Speed: 162.725718 samples/sec accuracy=32.257812 loss=3.110798 lr=0.078557 Epoch[083] Batch [2449]/[3760] Speed: 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loss=3.111570 lr=0.078451 Epoch[083] Batch [2949]/[3760] Speed: 166.184852 samples/sec accuracy=32.232521 loss=3.112100 lr=0.078441 Epoch[083] Batch [2999]/[3760] Speed: 163.320041 samples/sec accuracy=32.247917 loss=3.111550 lr=0.078430 Epoch[083] Batch [3049]/[3760] Speed: 162.388537 samples/sec accuracy=32.262807 loss=3.111489 lr=0.078419 Epoch[083] Batch [3099]/[3760] Speed: 165.713955 samples/sec accuracy=32.247480 loss=3.112328 lr=0.078409 Epoch[083] Batch [3149]/[3760] Speed: 163.745201 samples/sec accuracy=32.242063 loss=3.112415 lr=0.078398 Epoch[083] Batch [3199]/[3760] Speed: 163.914232 samples/sec accuracy=32.240234 loss=3.112656 lr=0.078388 Epoch[083] Batch [3249]/[3760] Speed: 163.050532 samples/sec accuracy=32.261538 loss=3.112334 lr=0.078377 Epoch[083] Batch [3299]/[3760] Speed: 163.705203 samples/sec accuracy=32.257102 loss=3.111668 lr=0.078366 Epoch[083] Batch [3349]/[3760] Speed: 163.934863 samples/sec accuracy=32.239272 loss=3.112476 lr=0.078356 Epoch[083] Batch 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acc-top5=57.708333 Batch [0199]/[0303]: acc-top1=34.515625 acc-top5=60.242188 Batch [0249]/[0303]: acc-top1=33.862500 acc-top5=59.837500 Batch [0299]/[0303]: acc-top1=33.286458 acc-top5=59.833333 [Epoch 083] training: accuracy=32.209109 loss=3.110604 [Epoch 083] speed: 163 samples/sec time cost: 1591.361648 [Epoch 083] validation: acc-top1=33.292079 acc-top5=59.833952 loss=3.348705 Epoch[084] Batch [0049]/[3759] Speed: 115.143686 samples/sec accuracy=32.968750 loss=3.109968 lr=0.078258 Epoch[084] Batch [0099]/[3759] Speed: 162.535201 samples/sec accuracy=33.375000 loss=3.069529 lr=0.078247 Epoch[084] Batch [0149]/[3759] Speed: 163.461546 samples/sec accuracy=33.145833 loss=3.066920 lr=0.078237 Epoch[084] Batch [0199]/[3759] Speed: 164.226297 samples/sec accuracy=33.312500 loss=3.056588 lr=0.078226 Epoch[084] Batch [0249]/[3759] Speed: 164.400749 samples/sec accuracy=33.206250 loss=3.064204 lr=0.078215 Epoch[084] Batch [0299]/[3759] Speed: 165.764923 samples/sec accuracy=33.171875 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accuracy=32.241753 loss=3.107059 lr=0.077498 Epoch[084] Batch [3649]/[3759] Speed: 165.044574 samples/sec accuracy=32.243151 loss=3.107376 lr=0.077487 Epoch[084] Batch [3699]/[3759] Speed: 162.945951 samples/sec accuracy=32.241132 loss=3.107989 lr=0.077476 Epoch[084] Batch [3749]/[3759] Speed: 177.155774 samples/sec accuracy=32.241250 loss=3.108299 lr=0.077465 Batch [0049]/[0303]: acc-top1=36.656250 acc-top5=63.000000 Batch [0099]/[0303]: acc-top1=33.015625 acc-top5=59.656250 Batch [0149]/[0303]: acc-top1=33.895833 acc-top5=60.406250 Batch [0199]/[0303]: acc-top1=35.976562 acc-top5=62.062500 Batch [0249]/[0303]: acc-top1=35.262500 acc-top5=62.175000 Batch [0299]/[0303]: acc-top1=34.489583 acc-top5=61.843750 [Epoch 084] training: accuracy=32.241786 loss=3.108094 [Epoch 084] speed: 163 samples/sec time cost: 1588.969499 [Epoch 084] validation: acc-top1=34.405941 acc-top5=61.814150 loss=3.120785 Epoch[085] Batch [0049]/[3760] Speed: 115.381595 samples/sec accuracy=31.656250 loss=3.083871 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accuracy=32.604688 loss=3.083921 lr=0.077248 Epoch[085] Batch [1049]/[3760] Speed: 163.407081 samples/sec accuracy=32.626488 loss=3.087449 lr=0.077237 Epoch[085] Batch [1099]/[3760] Speed: 164.223759 samples/sec accuracy=32.592330 loss=3.089616 lr=0.077226 Epoch[085] Batch [1149]/[3760] Speed: 162.218330 samples/sec accuracy=32.634511 loss=3.090235 lr=0.077215 Epoch[085] Batch [1199]/[3760] Speed: 162.318048 samples/sec accuracy=32.635417 loss=3.089025 lr=0.077204 Epoch[085] Batch [1249]/[3760] Speed: 164.713836 samples/sec accuracy=32.621250 loss=3.090999 lr=0.077194 Epoch[085] Batch [1299]/[3760] Speed: 164.365516 samples/sec accuracy=32.618990 loss=3.091802 lr=0.077183 Epoch[085] Batch [1349]/[3760] Speed: 163.426980 samples/sec accuracy=32.578704 loss=3.092572 lr=0.077172 Epoch[085] Batch [1399]/[3760] Speed: 164.442338 samples/sec accuracy=32.575893 loss=3.093035 lr=0.077161 Epoch[085] Batch [1449]/[3760] Speed: 163.227514 samples/sec accuracy=32.544181 loss=3.093624 lr=0.077150 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loss=3.098983 lr=0.076944 Epoch[085] Batch [2449]/[3760] Speed: 164.165052 samples/sec accuracy=32.387117 loss=3.099052 lr=0.076933 Epoch[085] Batch [2499]/[3760] Speed: 162.665496 samples/sec accuracy=32.406250 loss=3.098677 lr=0.076922 Epoch[085] Batch [2549]/[3760] Speed: 165.967319 samples/sec accuracy=32.427083 loss=3.098499 lr=0.076912 Epoch[085] Batch [2599]/[3760] Speed: 163.418461 samples/sec accuracy=32.412861 loss=3.099326 lr=0.076901 Epoch[085] Batch [2649]/[3760] Speed: 165.099159 samples/sec accuracy=32.383255 loss=3.101188 lr=0.076890 Epoch[085] Batch [2699]/[3760] Speed: 162.131239 samples/sec accuracy=32.353588 loss=3.101848 lr=0.076879 Epoch[085] Batch [2749]/[3760] Speed: 165.329410 samples/sec accuracy=32.353977 loss=3.101662 lr=0.076868 Epoch[085] Batch [2799]/[3760] Speed: 163.665919 samples/sec accuracy=32.347656 loss=3.101984 lr=0.076857 Epoch[085] Batch [2849]/[3760] Speed: 163.848042 samples/sec accuracy=32.355811 loss=3.101754 lr=0.076846 Epoch[085] Batch 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accuracy=32.346082 loss=3.104420 lr=0.076737 Epoch[085] Batch [3399]/[3760] Speed: 165.223639 samples/sec accuracy=32.374540 loss=3.103438 lr=0.076726 Epoch[085] Batch [3449]/[3760] Speed: 162.723832 samples/sec accuracy=32.386322 loss=3.102514 lr=0.076716 Epoch[085] Batch [3499]/[3760] Speed: 164.322696 samples/sec accuracy=32.387054 loss=3.102609 lr=0.076705 Epoch[085] Batch [3549]/[3760] Speed: 163.703440 samples/sec accuracy=32.407130 loss=3.101956 lr=0.076694 Epoch[085] Batch [3599]/[3760] Speed: 162.627409 samples/sec accuracy=32.402344 loss=3.101508 lr=0.076683 Epoch[085] Batch [3649]/[3760] Speed: 165.825917 samples/sec accuracy=32.408390 loss=3.101041 lr=0.076672 Epoch[085] Batch [3699]/[3760] Speed: 163.803182 samples/sec accuracy=32.418074 loss=3.100960 lr=0.076661 Epoch[085] Batch [3749]/[3760] Speed: 177.286108 samples/sec accuracy=32.425417 loss=3.100685 lr=0.076650 Batch [0049]/[0303]: acc-top1=32.812500 acc-top5=58.531250 Batch [0099]/[0303]: acc-top1=30.796875 acc-top5=56.500000 Batch [0149]/[0303]: acc-top1=32.812500 acc-top5=58.020833 Batch [0199]/[0303]: acc-top1=35.140625 acc-top5=60.359375 Batch [0249]/[0303]: acc-top1=34.062500 acc-top5=60.225000 Batch [0299]/[0303]: acc-top1=33.171875 acc-top5=59.942708 [Epoch 085] training: accuracy=32.431848 loss=3.100988 [Epoch 085] speed: 163 samples/sec time cost: 1588.556083 [Epoch 085] validation: acc-top1=33.199257 acc-top5=59.890677 loss=3.304290 Epoch[086] Batch [0049]/[3760] Speed: 114.013715 samples/sec accuracy=32.562500 loss=3.069377 lr=0.076637 Epoch[086] Batch [0099]/[3760] Speed: 162.858570 samples/sec accuracy=32.578125 loss=3.085677 lr=0.076626 Epoch[086] Batch [0149]/[3760] Speed: 164.675511 samples/sec accuracy=32.552083 loss=3.083211 lr=0.076615 Epoch[086] Batch [0199]/[3760] Speed: 164.317270 samples/sec accuracy=32.500000 loss=3.080243 lr=0.076604 Epoch[086] Batch [0249]/[3760] Speed: 162.003581 samples/sec accuracy=32.893750 loss=3.070762 lr=0.076593 Epoch[086] Batch 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accuracy=32.925000 loss=3.069461 lr=0.076484 Epoch[086] Batch [0799]/[3760] Speed: 162.210068 samples/sec accuracy=32.919922 loss=3.070472 lr=0.076473 Epoch[086] Batch [0849]/[3760] Speed: 164.688170 samples/sec accuracy=32.843750 loss=3.073349 lr=0.076462 Epoch[086] Batch [0899]/[3760] Speed: 162.663555 samples/sec accuracy=32.777778 loss=3.075450 lr=0.076451 Epoch[086] Batch [0949]/[3760] Speed: 164.240790 samples/sec accuracy=32.763158 loss=3.078185 lr=0.076440 Epoch[086] Batch [0999]/[3760] Speed: 163.209125 samples/sec accuracy=32.756250 loss=3.080365 lr=0.076429 Epoch[086] Batch [1049]/[3760] Speed: 163.874265 samples/sec accuracy=32.809524 loss=3.077011 lr=0.076418 Epoch[086] Batch [1099]/[3760] Speed: 164.296766 samples/sec accuracy=32.865057 loss=3.075880 lr=0.076407 Epoch[086] Batch [1149]/[3760] Speed: 163.984525 samples/sec accuracy=32.819293 loss=3.077379 lr=0.076396 Epoch[086] Batch [1199]/[3760] Speed: 162.811598 samples/sec accuracy=32.845052 loss=3.076797 lr=0.076386 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Epoch[086] Batch [3599]/[3760] Speed: 164.894376 samples/sec accuracy=32.625868 loss=3.092077 lr=0.075858 Epoch[086] Batch [3649]/[3760] Speed: 165.206782 samples/sec accuracy=32.628853 loss=3.091677 lr=0.075847 Epoch[086] Batch [3699]/[3760] Speed: 163.894416 samples/sec accuracy=32.629223 loss=3.091450 lr=0.075836 Epoch[086] Batch [3749]/[3760] Speed: 175.519381 samples/sec accuracy=32.595417 loss=3.093160 lr=0.075825 Batch [0049]/[0303]: acc-top1=36.343750 acc-top5=61.406250 Batch [0099]/[0303]: acc-top1=31.906250 acc-top5=58.046875 Batch [0149]/[0303]: acc-top1=33.166667 acc-top5=59.510417 Batch [0199]/[0303]: acc-top1=35.429688 acc-top5=61.265625 Batch [0249]/[0303]: acc-top1=34.487500 acc-top5=61.193750 Batch [0299]/[0303]: acc-top1=34.411458 acc-top5=61.593750 [Epoch 086] training: accuracy=32.595163 loss=3.093089 [Epoch 086] speed: 163 samples/sec time cost: 1591.478595 [Epoch 086] validation: acc-top1=34.447195 acc-top5=61.587252 loss=3.128367 Epoch[087] Batch [0049]/[3759] 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accuracy=32.538377 loss=3.082467 lr=0.075190 Epoch[087] Batch [2899]/[3759] Speed: 164.116520 samples/sec accuracy=32.536099 loss=3.082669 lr=0.075179 Epoch[087] Batch [2949]/[3759] Speed: 161.218987 samples/sec accuracy=32.537606 loss=3.083470 lr=0.075168 Epoch[087] Batch [2999]/[3759] Speed: 163.751897 samples/sec accuracy=32.536979 loss=3.083977 lr=0.075157 Epoch[087] Batch [3049]/[3759] Speed: 164.107067 samples/sec accuracy=32.548156 loss=3.083340 lr=0.075145 Epoch[087] Batch [3099]/[3759] Speed: 165.092669 samples/sec accuracy=32.548891 loss=3.083704 lr=0.075134 Epoch[087] Batch [3149]/[3759] Speed: 163.821948 samples/sec accuracy=32.545635 loss=3.084831 lr=0.075123 Epoch[087] Batch [3199]/[3759] Speed: 163.846554 samples/sec accuracy=32.562988 loss=3.083937 lr=0.075112 Epoch[087] Batch [3249]/[3759] Speed: 163.890448 samples/sec accuracy=32.564423 loss=3.083764 lr=0.075101 Epoch[087] Batch [3299]/[3759] Speed: 164.616485 samples/sec accuracy=32.562027 loss=3.083929 lr=0.075090 Epoch[087] Batch [3349]/[3759] Speed: 164.899031 samples/sec accuracy=32.565765 loss=3.084243 lr=0.075079 Epoch[087] Batch [3399]/[3759] Speed: 164.676420 samples/sec accuracy=32.563879 loss=3.084076 lr=0.075067 Epoch[087] Batch [3449]/[3759] Speed: 165.229643 samples/sec accuracy=32.590127 loss=3.083200 lr=0.075056 Epoch[087] Batch [3499]/[3759] Speed: 164.520717 samples/sec accuracy=32.577232 loss=3.084381 lr=0.075045 Epoch[087] Batch [3549]/[3759] Speed: 162.766605 samples/sec accuracy=32.568662 loss=3.084548 lr=0.075034 Epoch[087] Batch [3599]/[3759] Speed: 164.177096 samples/sec accuracy=32.571615 loss=3.084362 lr=0.075023 Epoch[087] Batch [3649]/[3759] Speed: 164.671383 samples/sec accuracy=32.573630 loss=3.084611 lr=0.075012 Epoch[087] Batch [3699]/[3759] Speed: 165.857282 samples/sec accuracy=32.563767 loss=3.085083 lr=0.075000 Epoch[087] Batch [3749]/[3759] Speed: 176.692694 samples/sec accuracy=32.575833 loss=3.085098 lr=0.074989 Batch [0049]/[0303]: acc-top1=32.406250 acc-top5=59.375000 Batch [0099]/[0303]: acc-top1=29.593750 acc-top5=56.046875 Batch [0149]/[0303]: acc-top1=32.406250 acc-top5=58.125000 Batch [0199]/[0303]: acc-top1=34.953125 acc-top5=60.656250 Batch [0249]/[0303]: acc-top1=34.662500 acc-top5=60.975000 Batch [0299]/[0303]: acc-top1=34.000000 acc-top5=60.869792 [Epoch 087] training: accuracy=32.579725 loss=3.085015 [Epoch 087] speed: 163 samples/sec time cost: 1590.969818 [Epoch 087] validation: acc-top1=34.014026 acc-top5=60.865305 loss=3.214654 Epoch[088] Batch [0049]/[3760] Speed: 113.020578 samples/sec accuracy=32.218750 loss=3.094980 lr=0.074976 Epoch[088] Batch [0099]/[3760] Speed: 164.076669 samples/sec accuracy=33.312500 loss=3.064467 lr=0.074965 Epoch[088] Batch [0149]/[3760] Speed: 163.904579 samples/sec accuracy=33.375000 loss=3.049498 lr=0.074954 Epoch[088] Batch [0199]/[3760] Speed: 163.555599 samples/sec accuracy=33.281250 loss=3.048510 lr=0.074942 Epoch[088] Batch [0249]/[3760] Speed: 163.926866 samples/sec accuracy=32.987500 loss=3.063216 lr=0.074931 Epoch[088] Batch [0299]/[3760] Speed: 164.078779 samples/sec accuracy=32.906250 loss=3.061484 lr=0.074920 Epoch[088] Batch [0349]/[3760] Speed: 164.103208 samples/sec accuracy=32.776786 loss=3.066594 lr=0.074909 Epoch[088] Batch [0399]/[3760] Speed: 164.414326 samples/sec accuracy=32.929688 loss=3.062260 lr=0.074898 Epoch[088] Batch [0449]/[3760] Speed: 165.723304 samples/sec accuracy=32.684028 loss=3.073573 lr=0.074887 Epoch[088] Batch [0499]/[3760] Speed: 163.094638 samples/sec accuracy=32.781250 loss=3.068040 lr=0.074875 Epoch[088] Batch [0549]/[3760] Speed: 164.945189 samples/sec accuracy=32.843750 loss=3.066977 lr=0.074864 Epoch[088] Batch [0599]/[3760] Speed: 164.587396 samples/sec accuracy=32.809896 loss=3.068945 lr=0.074853 Epoch[088] Batch [0649]/[3760] Speed: 163.660154 samples/sec accuracy=32.747596 loss=3.070844 lr=0.074842 Epoch[088] Batch [0699]/[3760] Speed: 165.481715 samples/sec accuracy=32.720982 loss=3.074300 lr=0.074831 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accuracy=32.725962 loss=3.078989 lr=0.074404 Epoch[088] Batch [2649]/[3760] Speed: 163.066828 samples/sec accuracy=32.750590 loss=3.078002 lr=0.074393 Epoch[088] Batch [2699]/[3760] Speed: 162.129289 samples/sec accuracy=32.780671 loss=3.077338 lr=0.074382 Epoch[088] Batch [2749]/[3760] Speed: 163.118428 samples/sec accuracy=32.770455 loss=3.076873 lr=0.074370 Epoch[088] Batch [2799]/[3760] Speed: 163.822892 samples/sec accuracy=32.739955 loss=3.078121 lr=0.074359 Epoch[088] Batch [2849]/[3760] Speed: 164.597767 samples/sec accuracy=32.736294 loss=3.078320 lr=0.074348 Epoch[088] Batch [2899]/[3760] Speed: 164.654121 samples/sec accuracy=32.728987 loss=3.078884 lr=0.074336 Epoch[088] Batch [2949]/[3760] Speed: 165.081708 samples/sec accuracy=32.741525 loss=3.078012 lr=0.074325 Epoch[088] Batch [2999]/[3760] Speed: 163.624101 samples/sec accuracy=32.731250 loss=3.078755 lr=0.074314 Epoch[088] Batch [3049]/[3760] Speed: 163.720771 samples/sec accuracy=32.709529 loss=3.079568 lr=0.074303 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164.960106 samples/sec accuracy=32.734155 loss=3.078188 lr=0.074190 Epoch[088] Batch [3599]/[3760] Speed: 163.411149 samples/sec accuracy=32.755208 loss=3.077459 lr=0.074179 Epoch[088] Batch [3649]/[3760] Speed: 164.473986 samples/sec accuracy=32.761558 loss=3.076867 lr=0.074167 Epoch[088] Batch [3699]/[3760] Speed: 164.246995 samples/sec accuracy=32.777872 loss=3.076516 lr=0.074156 Epoch[088] Batch [3749]/[3760] Speed: 176.709683 samples/sec accuracy=32.766667 loss=3.077437 lr=0.074145 Batch [0049]/[0303]: acc-top1=31.031250 acc-top5=56.843750 Batch [0099]/[0303]: acc-top1=29.734375 acc-top5=56.375000 Batch [0149]/[0303]: acc-top1=32.479167 acc-top5=58.604167 Batch [0199]/[0303]: acc-top1=34.539062 acc-top5=60.335938 Batch [0249]/[0303]: acc-top1=34.012500 acc-top5=60.362500 Batch [0299]/[0303]: acc-top1=33.864583 acc-top5=60.859375 [Epoch 088] training: accuracy=32.767204 loss=3.077268 [Epoch 088] speed: 163 samples/sec time cost: 1589.556064 [Epoch 088] validation: acc-top1=33.838696 acc-top5=60.839521 loss=3.228399 Epoch[089] Batch [0049]/[3760] Speed: 115.095429 samples/sec accuracy=33.562500 loss=3.004584 lr=0.074131 Epoch[089] Batch [0099]/[3760] Speed: 166.824059 samples/sec accuracy=33.281250 loss=3.018527 lr=0.074120 Epoch[089] Batch [0149]/[3760] Speed: 163.147858 samples/sec accuracy=33.104167 loss=3.030665 lr=0.074109 Epoch[089] Batch [0199]/[3760] Speed: 163.092195 samples/sec accuracy=32.960938 loss=3.047641 lr=0.074097 Epoch[089] Batch [0249]/[3760] Speed: 165.676123 samples/sec accuracy=33.168750 loss=3.041575 lr=0.074086 Epoch[089] Batch [0299]/[3760] Speed: 163.318048 samples/sec accuracy=33.250000 loss=3.048216 lr=0.074075 Epoch[089] Batch [0349]/[3760] Speed: 162.040253 samples/sec accuracy=33.160714 loss=3.053830 lr=0.074063 Epoch[089] Batch [0399]/[3760] Speed: 164.463943 samples/sec accuracy=33.324219 loss=3.050322 lr=0.074052 Epoch[089] Batch [0449]/[3760] Speed: 163.141915 samples/sec accuracy=33.361111 loss=3.051470 lr=0.074041 Epoch[089] Batch [0499]/[3760] Speed: 162.189308 samples/sec accuracy=33.343750 loss=3.052775 lr=0.074029 Epoch[089] Batch [0549]/[3760] Speed: 164.800771 samples/sec accuracy=33.369318 loss=3.051347 lr=0.074018 Epoch[089] Batch [0599]/[3760] Speed: 163.652960 samples/sec accuracy=33.263021 loss=3.057522 lr=0.074007 Epoch[089] Batch [0649]/[3760] Speed: 164.325215 samples/sec accuracy=33.247596 loss=3.056697 lr=0.073995 Epoch[089] Batch [0699]/[3760] Speed: 164.984092 samples/sec accuracy=33.256696 loss=3.056251 lr=0.073984 Epoch[089] Batch [0749]/[3760] Speed: 163.271466 samples/sec accuracy=33.225000 loss=3.055312 lr=0.073973 Epoch[089] Batch [0799]/[3760] Speed: 166.769542 samples/sec accuracy=33.224609 loss=3.055233 lr=0.073962 Epoch[089] Batch [0849]/[3760] Speed: 164.174538 samples/sec accuracy=33.248162 loss=3.051694 lr=0.073950 Epoch[089] Batch [0899]/[3760] Speed: 165.092177 samples/sec accuracy=33.263889 loss=3.051097 lr=0.073939 Epoch[089] Batch [0949]/[3760] Speed: 163.849745 samples/sec accuracy=33.305921 loss=3.051302 lr=0.073928 Epoch[089] Batch [0999]/[3760] Speed: 163.613871 samples/sec accuracy=33.284375 loss=3.051931 lr=0.073916 Epoch[089] Batch [1049]/[3760] Speed: 165.309014 samples/sec accuracy=33.248512 loss=3.053718 lr=0.073905 Epoch[089] Batch [1099]/[3760] Speed: 163.952183 samples/sec accuracy=33.261364 loss=3.053096 lr=0.073894 Epoch[089] Batch [1149]/[3760] Speed: 163.860725 samples/sec accuracy=33.262228 loss=3.055476 lr=0.073882 Epoch[089] Batch [1199]/[3760] Speed: 162.705203 samples/sec accuracy=33.307292 loss=3.052562 lr=0.073871 Epoch[089] Batch [1249]/[3760] Speed: 164.401155 samples/sec accuracy=33.267500 loss=3.053384 lr=0.073860 Epoch[089] Batch [1299]/[3760] Speed: 165.360301 samples/sec accuracy=33.272837 loss=3.053578 lr=0.073848 Epoch[089] Batch [1349]/[3760] Speed: 162.503309 samples/sec accuracy=33.297454 loss=3.053262 lr=0.073837 Epoch[089] Batch [1399]/[3760] Speed: 164.635793 samples/sec accuracy=33.262277 loss=3.055210 lr=0.073826 Epoch[089] Batch [1449]/[3760] Speed: 165.050094 samples/sec accuracy=33.272629 loss=3.054902 lr=0.073814 Epoch[089] Batch [1499]/[3760] Speed: 162.865119 samples/sec accuracy=33.257292 loss=3.054752 lr=0.073803 Epoch[089] Batch [1549]/[3760] Speed: 163.856610 samples/sec accuracy=33.215726 loss=3.057318 lr=0.073792 Epoch[089] Batch [1599]/[3760] Speed: 161.616505 samples/sec accuracy=33.210938 loss=3.057534 lr=0.073780 Epoch[089] Batch [1649]/[3760] Speed: 165.789656 samples/sec accuracy=33.209280 loss=3.057339 lr=0.073769 Epoch[089] Batch [1699]/[3760] Speed: 161.459971 samples/sec accuracy=33.193015 loss=3.057945 lr=0.073758 Epoch[089] Batch [1749]/[3760] Speed: 165.402659 samples/sec accuracy=33.150893 loss=3.059146 lr=0.073746 Epoch[089] Batch [1799]/[3760] Speed: 162.991941 samples/sec accuracy=33.105035 loss=3.061262 lr=0.073735 Epoch[089] Batch [1849]/[3760] Speed: 162.637688 samples/sec accuracy=33.108953 loss=3.060815 lr=0.073723 Epoch[089] Batch [1899]/[3760] Speed: 163.587705 samples/sec accuracy=33.106086 loss=3.061696 lr=0.073712 Epoch[089] Batch [1949]/[3760] Speed: 164.358713 samples/sec accuracy=33.104968 loss=3.061419 lr=0.073701 Epoch[089] Batch [1999]/[3760] Speed: 163.537390 samples/sec accuracy=33.109375 loss=3.062308 lr=0.073689 Epoch[089] Batch [2049]/[3760] Speed: 163.820124 samples/sec accuracy=33.089177 loss=3.062714 lr=0.073678 Epoch[089] Batch [2099]/[3760] Speed: 160.587305 samples/sec accuracy=33.110863 loss=3.061935 lr=0.073667 Epoch[089] Batch [2149]/[3760] Speed: 164.699611 samples/sec accuracy=33.087936 loss=3.063911 lr=0.073655 Epoch[089] Batch [2199]/[3760] Speed: 163.533387 samples/sec accuracy=33.055398 loss=3.066002 lr=0.073644 Epoch[089] Batch [2249]/[3760] Speed: 163.183273 samples/sec accuracy=33.062500 loss=3.066178 lr=0.073633 Epoch[089] Batch [2299]/[3760] Speed: 164.296388 samples/sec accuracy=33.043478 loss=3.067185 lr=0.073621 Epoch[089] Batch [2349]/[3760] Speed: 163.650705 samples/sec accuracy=33.036569 loss=3.066471 lr=0.073610 Epoch[089] Batch [2399]/[3760] Speed: 164.980147 samples/sec accuracy=33.029297 loss=3.067632 lr=0.073598 Epoch[089] Batch [2449]/[3760] Speed: 163.278866 samples/sec accuracy=33.032526 loss=3.067240 lr=0.073587 Epoch[089] Batch [2499]/[3760] Speed: 163.339478 samples/sec accuracy=33.000000 loss=3.068033 lr=0.073576 Epoch[089] Batch [2549]/[3760] Speed: 163.952479 samples/sec accuracy=33.014093 loss=3.067992 lr=0.073564 Epoch[089] Batch [2599]/[3760] Speed: 162.562243 samples/sec accuracy=33.060096 loss=3.066439 lr=0.073553 Epoch[089] Batch [2649]/[3760] Speed: 166.309588 samples/sec accuracy=33.049528 loss=3.067418 lr=0.073542 Epoch[089] Batch [2699]/[3760] Speed: 162.973938 samples/sec accuracy=33.052662 loss=3.067203 lr=0.073530 Epoch[089] Batch [2749]/[3760] Speed: 164.102375 samples/sec accuracy=33.035795 loss=3.068426 lr=0.073519 Epoch[089] Batch [2799]/[3760] Speed: 162.523876 samples/sec accuracy=33.042411 loss=3.067345 lr=0.073507 Epoch[089] Batch [2849]/[3760] Speed: 164.697743 samples/sec accuracy=33.039474 loss=3.068113 lr=0.073496 Epoch[089] Batch [2899]/[3760] Speed: 164.447869 samples/sec accuracy=33.039871 loss=3.068585 lr=0.073485 Epoch[089] Batch [2949]/[3760] Speed: 164.947766 samples/sec accuracy=33.036017 loss=3.069373 lr=0.073473 Epoch[089] Batch [2999]/[3760] Speed: 162.441402 samples/sec accuracy=33.025521 loss=3.070570 lr=0.073462 Epoch[089] Batch [3049]/[3760] Speed: 164.440978 samples/sec accuracy=33.007172 loss=3.071178 lr=0.073451 Epoch[089] Batch [3099]/[3760] Speed: 161.991769 samples/sec accuracy=33.005040 loss=3.071130 lr=0.073439 Epoch[089] Batch [3149]/[3760] Speed: 165.998150 samples/sec accuracy=32.994544 loss=3.071377 lr=0.073428 Epoch[089] Batch [3199]/[3760] Speed: 163.494781 samples/sec accuracy=33.005371 loss=3.071653 lr=0.073416 Epoch[089] Batch [3249]/[3760] Speed: 163.729253 samples/sec accuracy=33.000000 loss=3.072287 lr=0.073405 Epoch[089] Batch [3299]/[3760] Speed: 162.708114 samples/sec accuracy=33.008523 loss=3.071690 lr=0.073394 Epoch[089] Batch [3349]/[3760] Speed: 165.123905 samples/sec accuracy=32.982276 loss=3.072531 lr=0.073382 Epoch[089] Batch [3399]/[3760] Speed: 164.703339 samples/sec accuracy=32.979320 loss=3.072341 lr=0.073371 Epoch[089] Batch [3449]/[3760] Speed: 162.779953 samples/sec accuracy=32.973279 loss=3.072627 lr=0.073359 Epoch[089] Batch [3499]/[3760] Speed: 164.786240 samples/sec accuracy=33.000893 loss=3.071286 lr=0.073348 Epoch[089] Batch [3549]/[3760] Speed: 163.863679 samples/sec accuracy=32.982835 loss=3.072556 lr=0.073337 Epoch[089] Batch [3599]/[3760] Speed: 164.421539 samples/sec accuracy=32.980903 loss=3.071869 lr=0.073325 Epoch[089] Batch [3649]/[3760] Speed: 163.769025 samples/sec accuracy=32.981592 loss=3.071302 lr=0.073314 Epoch[089] Batch [3699]/[3760] Speed: 163.591888 samples/sec accuracy=32.987331 loss=3.071651 lr=0.073302 Epoch[089] Batch [3749]/[3760] Speed: 176.405352 samples/sec accuracy=32.964167 loss=3.072463 lr=0.073291 Batch [0049]/[0303]: acc-top1=30.781250 acc-top5=56.875000 Batch [0099]/[0303]: acc-top1=30.625000 acc-top5=56.562500 Batch [0149]/[0303]: acc-top1=33.093750 acc-top5=58.458333 Batch [0199]/[0303]: acc-top1=35.562500 acc-top5=60.750000 Batch [0249]/[0303]: acc-top1=34.700000 acc-top5=60.800000 Batch [0299]/[0303]: acc-top1=34.140625 acc-top5=60.875000 [Epoch 089] training: accuracy=32.964179 loss=3.072535 [Epoch 089] speed: 163 samples/sec time cost: 1590.646258 [Epoch 089] validation: acc-top1=34.153259 acc-top5=60.885932 loss=3.141024 Epoch[090] Batch [0049]/[3759] Speed: 113.536621 samples/sec accuracy=34.031250 loss=3.022921 lr=0.073277 Epoch[090] Batch [0099]/[3759] Speed: 163.195216 samples/sec accuracy=34.453125 loss=2.984370 lr=0.073266 Epoch[090] Batch [0149]/[3759] Speed: 163.045339 samples/sec accuracy=34.427083 loss=2.984245 lr=0.073254 Epoch[090] Batch [0199]/[3759] Speed: 165.670076 samples/sec accuracy=34.390625 loss=2.993245 lr=0.073243 Epoch[090] Batch [0249]/[3759] Speed: 164.918708 samples/sec accuracy=34.156250 loss=3.000738 lr=0.073232 Epoch[090] Batch [0299]/[3759] Speed: 165.445598 samples/sec accuracy=34.385417 loss=2.994582 lr=0.073220 Epoch[090] Batch [0349]/[3759] Speed: 163.888977 samples/sec accuracy=34.191964 loss=3.009401 lr=0.073209 Epoch[090] Batch [0399]/[3759] Speed: 164.119646 samples/sec accuracy=34.128906 loss=3.010255 lr=0.073197 Epoch[090] Batch [0449]/[3759] Speed: 164.902733 samples/sec accuracy=33.885417 loss=3.022478 lr=0.073186 Epoch[090] Batch [0499]/[3759] Speed: 163.601161 samples/sec accuracy=33.750000 loss=3.029573 lr=0.073174 Epoch[090] Batch [0549]/[3759] Speed: 164.153958 samples/sec accuracy=33.809659 loss=3.029937 lr=0.073163 Epoch[090] Batch [0599]/[3759] Speed: 165.430716 samples/sec accuracy=33.742188 loss=3.034569 lr=0.073152 Epoch[090] Batch [0649]/[3759] Speed: 164.062087 samples/sec accuracy=33.689904 loss=3.036359 lr=0.073140 Epoch[090] Batch [0699]/[3759] Speed: 165.494964 samples/sec accuracy=33.555804 loss=3.041813 lr=0.073129 Epoch[090] Batch [0749]/[3759] Speed: 164.173503 samples/sec accuracy=33.556250 loss=3.037562 lr=0.073117 Epoch[090] Batch [0799]/[3759] Speed: 164.602712 samples/sec accuracy=33.496094 loss=3.041459 lr=0.073106 Epoch[090] Batch [0849]/[3759] Speed: 164.066003 samples/sec accuracy=33.420956 loss=3.043372 lr=0.073094 Epoch[090] Batch [0899]/[3759] Speed: 164.504516 samples/sec accuracy=33.357639 loss=3.045506 lr=0.073083 Epoch[090] Batch [0949]/[3759] Speed: 164.800069 samples/sec accuracy=33.384868 loss=3.044468 lr=0.073072 Epoch[090] Batch [0999]/[3759] Speed: 164.867544 samples/sec accuracy=33.418750 loss=3.043527 lr=0.073060 Epoch[090] Batch [1049]/[3759] Speed: 164.170656 samples/sec accuracy=33.395833 loss=3.045832 lr=0.073049 Epoch[090] Batch [1099]/[3759] Speed: 163.538962 samples/sec accuracy=33.426136 loss=3.044308 lr=0.073037 Epoch[090] Batch [1149]/[3759] Speed: 164.133035 samples/sec accuracy=33.358696 loss=3.047847 lr=0.073026 Epoch[090] Batch [1199]/[3759] Speed: 164.674770 samples/sec accuracy=33.361979 loss=3.047359 lr=0.073014 Epoch[090] Batch [1249]/[3759] Speed: 163.877339 samples/sec accuracy=33.338750 loss=3.047433 lr=0.073003 Epoch[090] Batch [1299]/[3759] Speed: 165.043500 samples/sec accuracy=33.328125 loss=3.048015 lr=0.072991 Epoch[090] Batch [1349]/[3759] Speed: 163.687656 samples/sec accuracy=33.334491 loss=3.047534 lr=0.072980 Epoch[090] Batch [1399]/[3759] Speed: 163.414178 samples/sec accuracy=33.344866 loss=3.047940 lr=0.072968 Epoch[090] Batch [1449]/[3759] Speed: 164.791271 samples/sec accuracy=33.346983 loss=3.047615 lr=0.072957 Epoch[090] Batch [1499]/[3759] Speed: 163.681424 samples/sec accuracy=33.382292 loss=3.046602 lr=0.072946 Epoch[090] Batch [1549]/[3759] Speed: 165.460044 samples/sec accuracy=33.378024 loss=3.046697 lr=0.072934 Epoch[090] Batch [1599]/[3759] Speed: 163.119774 samples/sec accuracy=33.370117 loss=3.047647 lr=0.072923 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165.203847 samples/sec accuracy=33.319940 loss=3.057146 lr=0.072808 Epoch[090] Batch [2149]/[3759] Speed: 163.401421 samples/sec accuracy=33.320494 loss=3.057131 lr=0.072796 Epoch[090] Batch [2199]/[3759] Speed: 165.071077 samples/sec accuracy=33.326705 loss=3.056529 lr=0.072785 Epoch[090] Batch [2249]/[3759] Speed: 163.957040 samples/sec accuracy=33.309722 loss=3.057180 lr=0.072773 Epoch[090] Batch [2299]/[3759] Speed: 165.135822 samples/sec accuracy=33.313859 loss=3.057211 lr=0.072762 Epoch[090] Batch [2349]/[3759] Speed: 162.831473 samples/sec accuracy=33.308511 loss=3.056888 lr=0.072751 Epoch[090] Batch [2399]/[3759] Speed: 163.677922 samples/sec accuracy=33.290365 loss=3.056215 lr=0.072739 Epoch[090] Batch [2449]/[3759] Speed: 164.807668 samples/sec accuracy=33.278699 loss=3.057045 lr=0.072728 Epoch[090] Batch [2499]/[3759] Speed: 162.838938 samples/sec accuracy=33.277500 loss=3.057999 lr=0.072716 Epoch[090] Batch [2549]/[3759] Speed: 163.420268 samples/sec accuracy=33.278799 loss=3.058271 lr=0.072705 Epoch[090] Batch [2599]/[3759] Speed: 164.468419 samples/sec accuracy=33.265625 loss=3.059079 lr=0.072693 Epoch[090] Batch [2649]/[3759] Speed: 163.248807 samples/sec accuracy=33.257665 loss=3.059330 lr=0.072682 Epoch[090] Batch [2699]/[3759] Speed: 163.555023 samples/sec accuracy=33.272569 loss=3.058308 lr=0.072670 Epoch[090] Batch [2749]/[3759] Speed: 164.341261 samples/sec accuracy=33.240341 loss=3.059352 lr=0.072659 Epoch[090] Batch [2799]/[3759] Speed: 165.086599 samples/sec accuracy=33.210938 loss=3.060696 lr=0.072647 Epoch[090] Batch [2849]/[3759] Speed: 163.034862 samples/sec accuracy=33.209978 loss=3.060632 lr=0.072636 Epoch[090] Batch [2899]/[3759] Speed: 165.287376 samples/sec accuracy=33.204741 loss=3.061227 lr=0.072624 Epoch[090] Batch [2949]/[3759] Speed: 163.303055 samples/sec accuracy=33.201801 loss=3.061386 lr=0.072613 Epoch[090] Batch [2999]/[3759] Speed: 166.423054 samples/sec accuracy=33.181771 loss=3.062337 lr=0.072601 Epoch[090] Batch 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accuracy=33.167411 loss=3.062545 lr=0.072486 Epoch[090] Batch [3549]/[3759] Speed: 164.770857 samples/sec accuracy=33.177377 loss=3.062245 lr=0.072474 Epoch[090] Batch [3599]/[3759] Speed: 162.960327 samples/sec accuracy=33.173177 loss=3.062521 lr=0.072463 Epoch[090] Batch [3649]/[3759] Speed: 164.416352 samples/sec accuracy=33.169949 loss=3.063294 lr=0.072451 Epoch[090] Batch [3699]/[3759] Speed: 164.486263 samples/sec accuracy=33.191301 loss=3.062906 lr=0.072440 Epoch[090] Batch [3749]/[3759] Speed: 176.854193 samples/sec accuracy=33.170417 loss=3.063288 lr=0.072428 Batch [0049]/[0303]: acc-top1=30.000000 acc-top5=55.437500 Batch [0099]/[0303]: acc-top1=28.515625 acc-top5=54.015625 Batch [0149]/[0303]: acc-top1=30.229167 acc-top5=55.572917 Batch [0199]/[0303]: acc-top1=32.781250 acc-top5=58.257812 Batch [0249]/[0303]: acc-top1=32.393750 acc-top5=58.862500 Batch [0299]/[0303]: acc-top1=32.281250 acc-top5=58.927083 [Epoch 090] training: accuracy=33.179536 loss=3.063077 [Epoch 090] speed: 163 samples/sec time cost: 1586.910137 [Epoch 090] validation: acc-top1=32.209158 acc-top5=58.926361 loss=3.367108 Epoch[091] Batch [0049]/[3760] Speed: 114.110037 samples/sec accuracy=34.031250 loss=2.970185 lr=0.072415 Epoch[091] Batch [0099]/[3760] Speed: 162.876832 samples/sec accuracy=33.625000 loss=3.029727 lr=0.072403 Epoch[091] Batch [0149]/[3760] Speed: 164.428343 samples/sec accuracy=33.437500 loss=3.029854 lr=0.072392 Epoch[091] Batch [0199]/[3760] Speed: 164.952422 samples/sec accuracy=33.359375 loss=3.045122 lr=0.072380 Epoch[091] Batch [0249]/[3760] Speed: 163.088071 samples/sec accuracy=33.450000 loss=3.046009 lr=0.072369 Epoch[091] Batch [0299]/[3760] Speed: 165.360393 samples/sec accuracy=33.510417 loss=3.039505 lr=0.072357 Epoch[091] Batch [0349]/[3760] Speed: 165.022475 samples/sec accuracy=33.580357 loss=3.035718 lr=0.072346 Epoch[091] Batch [0399]/[3760] Speed: 162.488893 samples/sec accuracy=33.500000 loss=3.042079 lr=0.072334 Epoch[091] Batch [0449]/[3760] 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accuracy=33.539931 loss=3.039221 lr=0.072219 Epoch[091] Batch [0949]/[3760] Speed: 163.543679 samples/sec accuracy=33.536184 loss=3.041339 lr=0.072207 Epoch[091] Batch [0999]/[3760] Speed: 165.258677 samples/sec accuracy=33.603125 loss=3.039841 lr=0.072195 Epoch[091] Batch [1049]/[3760] Speed: 165.399559 samples/sec accuracy=33.535714 loss=3.041338 lr=0.072184 Epoch[091] Batch [1099]/[3760] Speed: 162.866568 samples/sec accuracy=33.517045 loss=3.041412 lr=0.072172 Epoch[091] Batch [1149]/[3760] Speed: 163.822786 samples/sec accuracy=33.539402 loss=3.039995 lr=0.072161 Epoch[091] Batch [1199]/[3760] Speed: 165.840746 samples/sec accuracy=33.571615 loss=3.040650 lr=0.072149 Epoch[091] Batch [1249]/[3760] Speed: 162.667702 samples/sec accuracy=33.510000 loss=3.043817 lr=0.072138 Epoch[091] Batch [1299]/[3760] Speed: 164.216445 samples/sec accuracy=33.524038 loss=3.041109 lr=0.072126 Epoch[091] Batch [1349]/[3760] Speed: 162.274303 samples/sec accuracy=33.483796 loss=3.041734 lr=0.072114 Epoch[091] Batch [1399]/[3760] Speed: 164.692426 samples/sec accuracy=33.487723 loss=3.041679 lr=0.072103 Epoch[091] Batch [1449]/[3760] Speed: 162.209552 samples/sec accuracy=33.460129 loss=3.042815 lr=0.072091 Epoch[091] Batch [1499]/[3760] Speed: 164.703430 samples/sec accuracy=33.422917 loss=3.044308 lr=0.072080 Epoch[091] Batch [1549]/[3760] Speed: 163.891688 samples/sec accuracy=33.446573 loss=3.044324 lr=0.072068 Epoch[091] Batch [1599]/[3760] Speed: 163.232005 samples/sec accuracy=33.483398 loss=3.042470 lr=0.072057 Epoch[091] Batch [1649]/[3760] Speed: 164.405296 samples/sec accuracy=33.515152 loss=3.041542 lr=0.072045 Epoch[091] Batch [1699]/[3760] Speed: 164.525708 samples/sec accuracy=33.501838 loss=3.042619 lr=0.072033 Epoch[091] Batch [1749]/[3760] Speed: 164.184280 samples/sec accuracy=33.517857 loss=3.042079 lr=0.072022 Epoch[091] Batch [1799]/[3760] Speed: 162.485865 samples/sec accuracy=33.519097 loss=3.041375 lr=0.072010 Epoch[091] Batch [1849]/[3760] Speed: 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loss=3.046102 lr=0.071894 Epoch[091] Batch [2349]/[3760] Speed: 164.216212 samples/sec accuracy=33.454122 loss=3.046751 lr=0.071883 Epoch[091] Batch [2399]/[3760] Speed: 163.726794 samples/sec accuracy=33.419922 loss=3.048008 lr=0.071871 Epoch[091] Batch [2449]/[3760] Speed: 162.167846 samples/sec accuracy=33.415816 loss=3.048000 lr=0.071860 Epoch[091] Batch [2499]/[3760] Speed: 164.613537 samples/sec accuracy=33.403750 loss=3.048592 lr=0.071848 Epoch[091] Batch [2549]/[3760] Speed: 165.238228 samples/sec accuracy=33.403186 loss=3.049110 lr=0.071836 Epoch[091] Batch [2599]/[3760] Speed: 163.136732 samples/sec accuracy=33.378005 loss=3.049199 lr=0.071825 Epoch[091] Batch [2649]/[3760] Speed: 165.481038 samples/sec accuracy=33.382075 loss=3.048868 lr=0.071813 Epoch[091] Batch [2699]/[3760] Speed: 163.713378 samples/sec accuracy=33.389468 loss=3.047834 lr=0.071802 Epoch[091] Batch [2749]/[3760] Speed: 162.844824 samples/sec accuracy=33.421591 loss=3.047619 lr=0.071790 Epoch[091] Batch [2799]/[3760] Speed: 166.315171 samples/sec accuracy=33.438616 loss=3.047687 lr=0.071778 Epoch[091] Batch [2849]/[3760] Speed: 162.918041 samples/sec accuracy=33.425439 loss=3.047634 lr=0.071767 Epoch[091] Batch [2899]/[3760] Speed: 163.935157 samples/sec accuracy=33.435345 loss=3.047434 lr=0.071755 Epoch[091] Batch [2949]/[3760] Speed: 163.183463 samples/sec accuracy=33.431144 loss=3.047589 lr=0.071744 Epoch[091] Batch [2999]/[3760] Speed: 163.264354 samples/sec accuracy=33.398958 loss=3.049097 lr=0.071732 Epoch[091] Batch [3049]/[3760] Speed: 163.685011 samples/sec accuracy=33.376025 loss=3.050188 lr=0.071720 Epoch[091] Batch [3099]/[3760] Speed: 164.763025 samples/sec accuracy=33.361391 loss=3.051005 lr=0.071709 Epoch[091] Batch [3149]/[3760] Speed: 165.779284 samples/sec accuracy=33.344246 loss=3.052201 lr=0.071697 Epoch[091] Batch [3199]/[3760] Speed: 164.048758 samples/sec accuracy=33.332520 loss=3.052387 lr=0.071686 Epoch[091] Batch [3249]/[3760] Speed: 164.006030 samples/sec accuracy=33.316827 loss=3.052752 lr=0.071674 Epoch[091] Batch [3299]/[3760] Speed: 163.583871 samples/sec accuracy=33.312500 loss=3.053503 lr=0.071662 Epoch[091] Batch [3349]/[3760] Speed: 165.048781 samples/sec accuracy=33.313433 loss=3.054412 lr=0.071651 Epoch[091] Batch [3399]/[3760] Speed: 164.252590 samples/sec accuracy=33.306985 loss=3.054120 lr=0.071639 Epoch[091] Batch [3449]/[3760] Speed: 165.479463 samples/sec accuracy=33.302536 loss=3.054141 lr=0.071627 Epoch[091] Batch [3499]/[3760] Speed: 163.405084 samples/sec accuracy=33.308929 loss=3.053769 lr=0.071616 Epoch[091] Batch [3549]/[3760] Speed: 163.805087 samples/sec accuracy=33.305458 loss=3.054271 lr=0.071604 Epoch[091] Batch [3599]/[3760] Speed: 163.122666 samples/sec accuracy=33.330295 loss=3.053194 lr=0.071592 Epoch[091] Batch [3649]/[3760] Speed: 164.060591 samples/sec accuracy=33.300942 loss=3.054624 lr=0.071581 Epoch[091] Batch [3699]/[3760] Speed: 164.301108 samples/sec accuracy=33.293074 loss=3.054476 lr=0.071569 Epoch[091] Batch [3749]/[3760] Speed: 176.700168 samples/sec accuracy=33.279167 loss=3.054834 lr=0.071558 Batch [0049]/[0303]: acc-top1=30.843750 acc-top5=58.593750 Batch [0099]/[0303]: acc-top1=29.390625 acc-top5=55.984375 Batch [0149]/[0303]: acc-top1=31.500000 acc-top5=58.156250 Batch [0199]/[0303]: acc-top1=34.546875 acc-top5=60.460938 Batch [0249]/[0303]: acc-top1=33.812500 acc-top5=60.318750 Batch [0299]/[0303]: acc-top1=33.250000 acc-top5=60.166667 [Epoch 091] training: accuracy=33.275432 loss=3.055100 [Epoch 091] speed: 163 samples/sec time cost: 1590.395098 [Epoch 091] validation: acc-top1=33.297236 acc-top5=60.148515 loss=3.231146 Epoch[092] Batch [0049]/[3760] Speed: 115.403837 samples/sec accuracy=33.437500 loss=3.001541 lr=0.071544 Epoch[092] Batch [0099]/[3760] Speed: 165.255456 samples/sec accuracy=33.953125 loss=3.011060 lr=0.071532 Epoch[092] Batch [0149]/[3760] Speed: 163.825893 samples/sec accuracy=33.760417 loss=3.034071 lr=0.071520 Epoch[092] Batch [0199]/[3760] Speed: 161.854210 samples/sec accuracy=33.773438 loss=3.029285 lr=0.071509 Epoch[092] Batch [0249]/[3760] Speed: 164.999910 samples/sec accuracy=33.625000 loss=3.045833 lr=0.071497 Epoch[092] Batch [0299]/[3760] Speed: 163.258505 samples/sec accuracy=33.510417 loss=3.040713 lr=0.071485 Epoch[092] Batch [0349]/[3760] Speed: 164.024692 samples/sec accuracy=33.450893 loss=3.037447 lr=0.071474 Epoch[092] Batch [0399]/[3760] Speed: 163.553446 samples/sec accuracy=33.738281 loss=3.030794 lr=0.071462 Epoch[092] Batch [0449]/[3760] Speed: 164.419077 samples/sec accuracy=33.715278 loss=3.030610 lr=0.071450 Epoch[092] Batch [0499]/[3760] Speed: 161.791076 samples/sec accuracy=33.678125 loss=3.027907 lr=0.071439 Epoch[092] Batch [0549]/[3760] Speed: 165.534312 samples/sec accuracy=33.778409 loss=3.026266 lr=0.071427 Epoch[092] Batch [0599]/[3760] Speed: 163.208992 samples/sec accuracy=33.796875 loss=3.021452 lr=0.071416 Epoch[092] Batch [0649]/[3760] Speed: 163.613009 samples/sec accuracy=33.735577 loss=3.024814 lr=0.071404 Epoch[092] Batch [0699]/[3760] Speed: 163.218161 samples/sec accuracy=33.705357 loss=3.028651 lr=0.071392 Epoch[092] Batch [0749]/[3760] Speed: 162.237640 samples/sec accuracy=33.720833 loss=3.027770 lr=0.071381 Epoch[092] Batch [0799]/[3760] Speed: 164.871730 samples/sec accuracy=33.734375 loss=3.026524 lr=0.071369 Epoch[092] Batch [0849]/[3760] Speed: 163.194717 samples/sec accuracy=33.663603 loss=3.030199 lr=0.071357 Epoch[092] Batch [0899]/[3760] Speed: 162.596880 samples/sec accuracy=33.685764 loss=3.027511 lr=0.071346 Epoch[092] Batch [0949]/[3760] Speed: 164.335345 samples/sec accuracy=33.689145 loss=3.028137 lr=0.071334 Epoch[092] Batch [0999]/[3760] Speed: 166.189420 samples/sec accuracy=33.689062 loss=3.026663 lr=0.071322 Epoch[092] Batch [1049]/[3760] Speed: 164.590296 samples/sec accuracy=33.715774 loss=3.026038 lr=0.071311 Epoch[092] Batch [1099]/[3760] Speed: 163.714604 samples/sec accuracy=33.690341 loss=3.026728 lr=0.071299 Epoch[092] Batch [1149]/[3760] Speed: 163.301297 samples/sec accuracy=33.641304 loss=3.029099 lr=0.071287 Epoch[092] Batch [1199]/[3760] Speed: 163.853479 samples/sec accuracy=33.647135 loss=3.029594 lr=0.071276 Epoch[092] Batch [1249]/[3760] Speed: 164.156155 samples/sec accuracy=33.633750 loss=3.029474 lr=0.071264 Epoch[092] Batch [1299]/[3760] Speed: 164.976933 samples/sec accuracy=33.622596 loss=3.029711 lr=0.071252 Epoch[092] Batch [1349]/[3760] Speed: 163.183221 samples/sec accuracy=33.562500 loss=3.031981 lr=0.071241 Epoch[092] Batch [1399]/[3760] Speed: 165.226995 samples/sec accuracy=33.575893 loss=3.031874 lr=0.071229 Epoch[092] Batch [1449]/[3760] Speed: 163.179690 samples/sec accuracy=33.619612 loss=3.030075 lr=0.071217 Epoch[092] Batch [1499]/[3760] Speed: 165.835910 samples/sec accuracy=33.576042 loss=3.031313 lr=0.071205 Epoch[092] Batch [1549]/[3760] Speed: 163.236589 samples/sec accuracy=33.595766 loss=3.031053 lr=0.071194 Epoch[092] Batch [1599]/[3760] Speed: 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loss=3.036086 lr=0.071077 Epoch[092] Batch [2099]/[3760] Speed: 165.152649 samples/sec accuracy=33.625000 loss=3.036784 lr=0.071065 Epoch[092] Batch [2149]/[3760] Speed: 163.642816 samples/sec accuracy=33.611192 loss=3.037383 lr=0.071054 Epoch[092] Batch [2199]/[3760] Speed: 163.349523 samples/sec accuracy=33.648438 loss=3.037032 lr=0.071042 Epoch[092] Batch [2249]/[3760] Speed: 164.539607 samples/sec accuracy=33.661806 loss=3.037020 lr=0.071030 Epoch[092] Batch [2299]/[3760] Speed: 164.930778 samples/sec accuracy=33.627038 loss=3.038216 lr=0.071018 Epoch[092] Batch [2349]/[3760] Speed: 163.777696 samples/sec accuracy=33.630319 loss=3.038128 lr=0.071007 Epoch[092] Batch [2399]/[3760] Speed: 163.369712 samples/sec accuracy=33.626953 loss=3.038864 lr=0.070995 Epoch[092] Batch [2449]/[3760] Speed: 163.501963 samples/sec accuracy=33.612883 loss=3.039038 lr=0.070983 Epoch[092] Batch [2499]/[3760] Speed: 165.317417 samples/sec accuracy=33.619375 loss=3.038594 lr=0.070972 Epoch[092] Batch 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accuracy=33.546354 loss=3.040595 lr=0.070854 Epoch[092] Batch [3049]/[3760] Speed: 162.776941 samples/sec accuracy=33.538422 loss=3.041003 lr=0.070843 Epoch[092] Batch [3099]/[3760] Speed: 163.123452 samples/sec accuracy=33.538306 loss=3.041000 lr=0.070831 Epoch[092] Batch [3149]/[3760] Speed: 163.150361 samples/sec accuracy=33.544643 loss=3.041080 lr=0.070819 Epoch[092] Batch [3199]/[3760] Speed: 164.799405 samples/sec accuracy=33.543457 loss=3.042154 lr=0.070808 Epoch[092] Batch [3249]/[3760] Speed: 165.013641 samples/sec accuracy=33.550962 loss=3.041618 lr=0.070796 Epoch[092] Batch [3299]/[3760] Speed: 163.576303 samples/sec accuracy=33.519413 loss=3.042195 lr=0.070784 Epoch[092] Batch [3349]/[3760] Speed: 163.618905 samples/sec accuracy=33.517724 loss=3.042556 lr=0.070772 Epoch[092] Batch [3399]/[3760] Speed: 164.392024 samples/sec accuracy=33.519301 loss=3.042082 lr=0.070761 Epoch[092] Batch [3449]/[3760] Speed: 163.949519 samples/sec accuracy=33.528080 loss=3.041442 lr=0.070749 Epoch[092] Batch [3499]/[3760] Speed: 163.610648 samples/sec accuracy=33.512946 loss=3.041906 lr=0.070737 Epoch[092] Batch [3549]/[3760] Speed: 165.388780 samples/sec accuracy=33.499120 loss=3.042490 lr=0.070725 Epoch[092] Batch [3599]/[3760] Speed: 163.645621 samples/sec accuracy=33.491753 loss=3.042539 lr=0.070714 Epoch[092] Batch [3649]/[3760] Speed: 163.078143 samples/sec accuracy=33.502568 loss=3.041500 lr=0.070702 Epoch[092] Batch [3699]/[3760] Speed: 163.413835 samples/sec accuracy=33.495355 loss=3.042185 lr=0.070690 Epoch[092] Batch [3749]/[3760] Speed: 175.549301 samples/sec accuracy=33.485833 loss=3.042394 lr=0.070678 Batch [0049]/[0303]: acc-top1=35.437500 acc-top5=60.812500 Batch [0099]/[0303]: acc-top1=33.484375 acc-top5=59.781250 Batch [0149]/[0303]: acc-top1=35.093750 acc-top5=61.291667 Batch [0199]/[0303]: acc-top1=37.468750 acc-top5=63.328125 Batch [0249]/[0303]: acc-top1=36.406250 acc-top5=63.168750 Batch [0299]/[0303]: acc-top1=35.755208 acc-top5=63.239583 [Epoch 092] training: accuracy=33.487367 loss=3.042214 [Epoch 092] speed: 163 samples/sec time cost: 1590.147347 [Epoch 092] validation: acc-top1=35.710602 acc-top5=63.273515 loss=3.129983 Epoch[093] Batch [0049]/[3759] Speed: 117.546235 samples/sec accuracy=33.875000 loss=3.034707 lr=0.070664 Epoch[093] Batch [0099]/[3759] Speed: 165.469499 samples/sec accuracy=34.468750 loss=3.032188 lr=0.070653 Epoch[093] Batch [0149]/[3759] Speed: 164.353510 samples/sec accuracy=33.875000 loss=3.028896 lr=0.070641 Epoch[093] Batch [0199]/[3759] Speed: 164.076647 samples/sec accuracy=33.796875 loss=3.029621 lr=0.070629 Epoch[093] Batch [0249]/[3759] Speed: 165.260811 samples/sec accuracy=33.731250 loss=3.025918 lr=0.070617 Epoch[093] Batch [0299]/[3759] Speed: 161.658841 samples/sec accuracy=33.864583 loss=3.018131 lr=0.070606 Epoch[093] Batch [0349]/[3759] Speed: 164.396292 samples/sec accuracy=33.870536 loss=3.024077 lr=0.070594 Epoch[093] Batch [0399]/[3759] Speed: 163.489838 samples/sec accuracy=33.796875 loss=3.024018 lr=0.070582 Epoch[093] Batch [0449]/[3759] Speed: 161.639602 samples/sec accuracy=33.815972 loss=3.023224 lr=0.070570 Epoch[093] Batch [0499]/[3759] Speed: 165.553207 samples/sec accuracy=33.868750 loss=3.023595 lr=0.070559 Epoch[093] Batch [0549]/[3759] Speed: 163.457893 samples/sec accuracy=33.951705 loss=3.018718 lr=0.070547 Epoch[093] Batch [0599]/[3759] Speed: 165.032265 samples/sec accuracy=33.963542 loss=3.021044 lr=0.070535 Epoch[093] Batch [0649]/[3759] Speed: 163.413139 samples/sec accuracy=34.000000 loss=3.019669 lr=0.070523 Epoch[093] Batch [0699]/[3759] Speed: 164.154065 samples/sec accuracy=33.912946 loss=3.024937 lr=0.070512 Epoch[093] Batch [0749]/[3759] Speed: 164.752633 samples/sec accuracy=33.889583 loss=3.024593 lr=0.070500 Epoch[093] Batch [0799]/[3759] Speed: 164.602791 samples/sec accuracy=33.931641 loss=3.021884 lr=0.070488 Epoch[093] Batch [0849]/[3759] Speed: 162.652517 samples/sec accuracy=33.952206 loss=3.021786 lr=0.070476 Epoch[093] Batch [0899]/[3759] Speed: 164.417617 samples/sec accuracy=33.947917 loss=3.021865 lr=0.070465 Epoch[093] Batch [0949]/[3759] Speed: 166.083981 samples/sec accuracy=34.026316 loss=3.018538 lr=0.070453 Epoch[093] Batch [0999]/[3759] Speed: 163.452021 samples/sec accuracy=33.939062 loss=3.021499 lr=0.070441 Epoch[093] Batch [1049]/[3759] Speed: 162.721486 samples/sec accuracy=33.936012 loss=3.020802 lr=0.070429 Epoch[093] Batch [1099]/[3759] Speed: 164.898628 samples/sec accuracy=33.973011 loss=3.019258 lr=0.070417 Epoch[093] Batch [1149]/[3759] Speed: 163.529227 samples/sec accuracy=33.956522 loss=3.020558 lr=0.070406 Epoch[093] Batch [1199]/[3759] Speed: 163.717536 samples/sec accuracy=33.988281 loss=3.019081 lr=0.070394 Epoch[093] Batch [1249]/[3759] Speed: 164.979231 samples/sec accuracy=33.953750 loss=3.020736 lr=0.070382 Epoch[093] Batch [1299]/[3759] Speed: 165.035813 samples/sec accuracy=33.956731 loss=3.020739 lr=0.070370 Epoch[093] Batch [1349]/[3759] Speed: 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loss=3.027293 lr=0.070252 Epoch[093] Batch [1849]/[3759] Speed: 163.314934 samples/sec accuracy=33.760135 loss=3.025275 lr=0.070241 Epoch[093] Batch [1899]/[3759] Speed: 164.605191 samples/sec accuracy=33.757401 loss=3.024714 lr=0.070229 Epoch[093] Batch [1949]/[3759] Speed: 162.003294 samples/sec accuracy=33.752404 loss=3.024489 lr=0.070217 Epoch[093] Batch [1999]/[3759] Speed: 162.967847 samples/sec accuracy=33.744531 loss=3.025386 lr=0.070205 Epoch[093] Batch [2049]/[3759] Speed: 163.425022 samples/sec accuracy=33.730945 loss=3.026286 lr=0.070194 Epoch[093] Batch [2099]/[3759] Speed: 165.798513 samples/sec accuracy=33.724702 loss=3.026684 lr=0.070182 Epoch[093] Batch [2149]/[3759] Speed: 164.157841 samples/sec accuracy=33.711483 loss=3.027321 lr=0.070170 Epoch[093] Batch [2199]/[3759] Speed: 163.911079 samples/sec accuracy=33.713778 loss=3.028429 lr=0.070158 Epoch[093] Batch [2249]/[3759] Speed: 165.360670 samples/sec accuracy=33.704861 loss=3.028067 lr=0.070146 Epoch[093] Batch 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accuracy=33.717614 loss=3.031033 lr=0.070028 Epoch[093] Batch [2799]/[3759] Speed: 162.972225 samples/sec accuracy=33.694754 loss=3.032503 lr=0.070016 Epoch[093] Batch [2849]/[3759] Speed: 165.370764 samples/sec accuracy=33.656798 loss=3.033807 lr=0.070005 Epoch[093] Batch [2899]/[3759] Speed: 163.308915 samples/sec accuracy=33.670797 loss=3.033621 lr=0.069993 Epoch[093] Batch [2949]/[3759] Speed: 163.869043 samples/sec accuracy=33.667903 loss=3.033374 lr=0.069981 Epoch[093] Batch [2999]/[3759] Speed: 164.946912 samples/sec accuracy=33.686458 loss=3.032778 lr=0.069969 Epoch[093] Batch [3049]/[3759] Speed: 163.607810 samples/sec accuracy=33.665471 loss=3.033324 lr=0.069957 Epoch[093] Batch [3099]/[3759] Speed: 164.794126 samples/sec accuracy=33.661290 loss=3.033254 lr=0.069945 Epoch[093] Batch [3149]/[3759] Speed: 164.637881 samples/sec accuracy=33.639385 loss=3.033734 lr=0.069934 Epoch[093] Batch [3199]/[3759] Speed: 162.865264 samples/sec accuracy=33.630371 loss=3.034637 lr=0.069922 Epoch[093] Batch [3249]/[3759] Speed: 162.699503 samples/sec accuracy=33.634615 loss=3.034640 lr=0.069910 Epoch[093] Batch [3299]/[3759] Speed: 165.673415 samples/sec accuracy=33.613636 loss=3.035011 lr=0.069898 Epoch[093] Batch [3349]/[3759] Speed: 162.892205 samples/sec accuracy=33.590019 loss=3.035935 lr=0.069886 Epoch[093] Batch [3399]/[3759] Speed: 163.828673 samples/sec accuracy=33.588235 loss=3.036460 lr=0.069874 Epoch[093] Batch [3449]/[3759] Speed: 163.833036 samples/sec accuracy=33.602808 loss=3.035506 lr=0.069863 Epoch[093] Batch [3499]/[3759] Speed: 165.319055 samples/sec accuracy=33.607143 loss=3.035420 lr=0.069851 Epoch[093] Batch [3549]/[3759] Speed: 165.074996 samples/sec accuracy=33.594630 loss=3.036637 lr=0.069839 Epoch[093] Batch [3599]/[3759] Speed: 165.668816 samples/sec accuracy=33.589844 loss=3.036716 lr=0.069827 Epoch[093] Batch [3649]/[3759] Speed: 162.869438 samples/sec accuracy=33.581336 loss=3.036919 lr=0.069815 Epoch[093] Batch [3699]/[3759] Speed: 164.686277 samples/sec accuracy=33.549831 loss=3.037913 lr=0.069803 Epoch[093] Batch [3749]/[3759] Speed: 176.909377 samples/sec accuracy=33.577083 loss=3.037169 lr=0.069792 Batch [0049]/[0303]: acc-top1=33.656250 acc-top5=59.875000 Batch [0099]/[0303]: acc-top1=31.359375 acc-top5=57.890625 Batch [0149]/[0303]: acc-top1=32.781250 acc-top5=58.979167 Batch [0199]/[0303]: acc-top1=35.539062 acc-top5=61.382812 Batch [0249]/[0303]: acc-top1=35.018750 acc-top5=61.618750 Batch [0299]/[0303]: acc-top1=34.218750 acc-top5=61.713542 [Epoch 093] training: accuracy=33.581488 loss=3.037107 [Epoch 093] speed: 163 samples/sec time cost: 1587.847727 [Epoch 093] validation: acc-top1=34.246081 acc-top5=61.736799 loss=3.200040 Epoch[094] Batch [0049]/[3760] Speed: 112.739309 samples/sec accuracy=34.437500 loss=2.997955 lr=0.069778 Epoch[094] Batch [0099]/[3760] Speed: 165.173490 samples/sec accuracy=34.765625 loss=2.971984 lr=0.069766 Epoch[094] Batch [0149]/[3760] Speed: 164.251895 samples/sec accuracy=33.864583 loss=3.009854 lr=0.069754 Epoch[094] Batch [0199]/[3760] Speed: 164.283982 samples/sec accuracy=33.929688 loss=3.010149 lr=0.069742 Epoch[094] Batch [0249]/[3760] Speed: 162.018002 samples/sec accuracy=33.987500 loss=3.005359 lr=0.069730 Epoch[094] Batch [0299]/[3760] Speed: 164.831452 samples/sec accuracy=33.765625 loss=3.017199 lr=0.069718 Epoch[094] Batch [0349]/[3760] Speed: 164.364329 samples/sec accuracy=33.879464 loss=3.014502 lr=0.069707 Epoch[094] Batch [0399]/[3760] Speed: 162.361816 samples/sec accuracy=33.890625 loss=3.016647 lr=0.069695 Epoch[094] Batch [0449]/[3760] Speed: 164.157360 samples/sec accuracy=34.038194 loss=3.014650 lr=0.069683 Epoch[094] Batch [0499]/[3760] Speed: 164.915893 samples/sec accuracy=33.915625 loss=3.020458 lr=0.069671 Epoch[094] Batch [0549]/[3760] Speed: 162.833691 samples/sec accuracy=34.022727 loss=3.010881 lr=0.069659 Epoch[094] Batch [0599]/[3760] Speed: 165.425029 samples/sec accuracy=34.091146 loss=3.006762 lr=0.069647 Epoch[094] Batch [0649]/[3760] Speed: 164.303051 samples/sec accuracy=34.043269 loss=3.009315 lr=0.069635 Epoch[094] Batch [0699]/[3760] Speed: 163.469265 samples/sec accuracy=34.089286 loss=3.010994 lr=0.069624 Epoch[094] Batch [0749]/[3760] Speed: 165.863162 samples/sec accuracy=34.131250 loss=3.010103 lr=0.069612 Epoch[094] Batch [0799]/[3760] Speed: 163.958005 samples/sec accuracy=34.085938 loss=3.014627 lr=0.069600 Epoch[094] Batch [0849]/[3760] Speed: 161.988049 samples/sec accuracy=34.128676 loss=3.014917 lr=0.069588 Epoch[094] Batch [0899]/[3760] Speed: 164.670042 samples/sec accuracy=34.076389 loss=3.016919 lr=0.069576 Epoch[094] Batch [0949]/[3760] Speed: 164.190016 samples/sec accuracy=34.075658 loss=3.014793 lr=0.069564 Epoch[094] Batch [0999]/[3760] Speed: 164.669797 samples/sec accuracy=34.046875 loss=3.014393 lr=0.069552 Epoch[094] Batch [1049]/[3760] Speed: 163.040685 samples/sec accuracy=33.947917 loss=3.016897 lr=0.069540 Epoch[094] Batch [1099]/[3760] Speed: 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Batch [0299]/[0303]: acc-top1=35.177083 acc-top5=62.489583 [Epoch 094] training: accuracy=33.665642 loss=3.027663 [Epoch 094] speed: 163 samples/sec time cost: 1590.265853 [Epoch 094] validation: acc-top1=35.117574 acc-top5=62.448432 loss=3.089933 Epoch[095] Batch [0049]/[3760] Speed: 114.152264 samples/sec accuracy=34.906250 loss=2.949038 lr=0.068883 Epoch[095] Batch [0099]/[3760] Speed: 165.083734 samples/sec accuracy=35.328125 loss=2.961248 lr=0.068871 Epoch[095] Batch [0149]/[3760] Speed: 163.001741 samples/sec accuracy=34.958333 loss=2.968072 lr=0.068859 Epoch[095] Batch [0199]/[3760] Speed: 164.008411 samples/sec accuracy=34.851562 loss=2.974961 lr=0.068847 Epoch[095] Batch [0249]/[3760] Speed: 163.247242 samples/sec accuracy=34.950000 loss=2.964380 lr=0.068835 Epoch[095] Batch [0299]/[3760] Speed: 164.062387 samples/sec accuracy=34.781250 loss=2.969746 lr=0.068823 Epoch[095] Batch [0349]/[3760] Speed: 163.429545 samples/sec accuracy=34.683036 loss=2.979393 lr=0.068811 Epoch[095] 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lr=0.068584 Epoch[095] Batch [1349]/[3760] Speed: 164.318701 samples/sec accuracy=33.825231 loss=3.014019 lr=0.068572 Epoch[095] Batch [1399]/[3760] Speed: 164.536170 samples/sec accuracy=33.873884 loss=3.012101 lr=0.068560 Epoch[095] Batch [1449]/[3760] Speed: 164.438097 samples/sec accuracy=33.929957 loss=3.012361 lr=0.068548 Epoch[095] Batch [1499]/[3760] Speed: 163.663736 samples/sec accuracy=33.877083 loss=3.015280 lr=0.068536 Epoch[095] Batch [1549]/[3760] Speed: 165.746817 samples/sec accuracy=33.864919 loss=3.015035 lr=0.068524 Epoch[095] Batch [1599]/[3760] Speed: 164.896412 samples/sec accuracy=33.907227 loss=3.014719 lr=0.068512 Epoch[095] Batch [1649]/[3760] Speed: 164.330492 samples/sec accuracy=33.888258 loss=3.015838 lr=0.068500 Epoch[095] Batch [1699]/[3760] Speed: 164.479261 samples/sec accuracy=33.890625 loss=3.014861 lr=0.068488 Epoch[095] Batch [1749]/[3760] Speed: 164.296506 samples/sec accuracy=33.897321 loss=3.015045 lr=0.068476 Epoch[095] Batch [1799]/[3760] 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accuracy=33.792361 loss=3.021420 lr=0.068356 Epoch[095] Batch [2299]/[3760] Speed: 163.731526 samples/sec accuracy=33.798234 loss=3.021341 lr=0.068344 Epoch[095] Batch [2349]/[3760] Speed: 164.121752 samples/sec accuracy=33.778590 loss=3.021627 lr=0.068332 Epoch[095] Batch [2399]/[3760] Speed: 162.418116 samples/sec accuracy=33.781901 loss=3.021982 lr=0.068320 Epoch[095] Batch [2449]/[3760] Speed: 163.603354 samples/sec accuracy=33.783801 loss=3.022004 lr=0.068308 Epoch[095] Batch [2499]/[3760] Speed: 163.673428 samples/sec accuracy=33.755000 loss=3.023775 lr=0.068296 Epoch[095] Batch [2549]/[3760] Speed: 163.280287 samples/sec accuracy=33.763480 loss=3.023338 lr=0.068284 Epoch[095] Batch [2599]/[3760] Speed: 164.062793 samples/sec accuracy=33.732572 loss=3.024060 lr=0.068272 Epoch[095] Batch [2649]/[3760] Speed: 163.911127 samples/sec accuracy=33.742335 loss=3.023496 lr=0.068260 Epoch[095] Batch [2699]/[3760] Speed: 164.386897 samples/sec accuracy=33.741319 loss=3.023508 lr=0.068248 Epoch[095] Batch [2749]/[3760] Speed: 165.346596 samples/sec accuracy=33.742045 loss=3.024594 lr=0.068236 Epoch[095] Batch [2799]/[3760] Speed: 162.687329 samples/sec accuracy=33.726004 loss=3.025125 lr=0.068224 Epoch[095] Batch [2849]/[3760] Speed: 165.016005 samples/sec accuracy=33.743969 loss=3.023815 lr=0.068212 Epoch[095] Batch [2899]/[3760] Speed: 163.480576 samples/sec accuracy=33.738685 loss=3.024199 lr=0.068200 Epoch[095] Batch [2949]/[3760] Speed: 162.227782 samples/sec accuracy=33.761653 loss=3.023852 lr=0.068188 Epoch[095] Batch [2999]/[3760] Speed: 164.848016 samples/sec accuracy=33.771354 loss=3.024021 lr=0.068176 Epoch[095] Batch [3049]/[3760] Speed: 164.081172 samples/sec accuracy=33.751537 loss=3.023891 lr=0.068164 Epoch[095] Batch [3099]/[3760] Speed: 163.664939 samples/sec accuracy=33.733367 loss=3.024754 lr=0.068152 Epoch[095] Batch [3149]/[3760] Speed: 163.080311 samples/sec accuracy=33.765377 loss=3.023971 lr=0.068140 Epoch[095] Batch [3199]/[3760] Speed: 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loss=3.022162 lr=0.068020 Epoch[095] Batch [3699]/[3760] Speed: 164.895429 samples/sec accuracy=33.810389 loss=3.023638 lr=0.068008 Epoch[095] Batch [3749]/[3760] Speed: 172.504797 samples/sec accuracy=33.824167 loss=3.023203 lr=0.067996 Batch [0049]/[0303]: acc-top1=34.875000 acc-top5=61.656250 Batch [0099]/[0303]: acc-top1=31.765625 acc-top5=59.031250 Batch [0149]/[0303]: acc-top1=33.479167 acc-top5=60.468750 Batch [0199]/[0303]: acc-top1=36.656250 acc-top5=63.171875 Batch [0249]/[0303]: acc-top1=36.281250 acc-top5=63.256250 Batch [0299]/[0303]: acc-top1=36.067708 acc-top5=63.401042 [Epoch 095] training: accuracy=33.830618 loss=3.023048 [Epoch 095] speed: 163 samples/sec time cost: 1589.567427 [Epoch 095] validation: acc-top1=36.071576 acc-top5=63.402434 loss=3.138992 Epoch[096] Batch [0049]/[3759] Speed: 116.084774 samples/sec accuracy=35.843750 loss=2.924349 lr=0.067982 Epoch[096] Batch [0099]/[3759] Speed: 164.201693 samples/sec accuracy=34.906250 loss=2.949149 lr=0.067970 Epoch[096] Batch [0149]/[3759] Speed: 164.110684 samples/sec accuracy=34.906250 loss=2.954697 lr=0.067958 Epoch[096] Batch [0199]/[3759] Speed: 164.293962 samples/sec accuracy=34.804688 loss=2.971267 lr=0.067945 Epoch[096] Batch [0249]/[3759] Speed: 164.243949 samples/sec accuracy=34.493750 loss=2.977876 lr=0.067933 Epoch[096] Batch [0299]/[3759] Speed: 165.300535 samples/sec accuracy=34.177083 loss=2.989576 lr=0.067921 Epoch[096] Batch [0349]/[3759] Speed: 163.622128 samples/sec accuracy=34.245536 loss=2.990103 lr=0.067909 Epoch[096] Batch [0399]/[3759] Speed: 163.251438 samples/sec accuracy=34.179688 loss=3.000415 lr=0.067897 Epoch[096] Batch [0449]/[3759] Speed: 164.963581 samples/sec accuracy=34.263889 loss=3.000395 lr=0.067885 Epoch[096] Batch [0499]/[3759] Speed: 164.102289 samples/sec accuracy=34.231250 loss=3.000040 lr=0.067873 Epoch[096] Batch [0549]/[3759] Speed: 163.261589 samples/sec accuracy=34.181818 loss=3.003395 lr=0.067861 Epoch[096] Batch [0599]/[3759] Speed: 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accuracy=34.002344 loss=3.010289 lr=0.067511 Epoch[096] Batch [2049]/[3759] Speed: 164.427487 samples/sec accuracy=34.006860 loss=3.009470 lr=0.067499 Epoch[096] Batch [2099]/[3759] Speed: 163.849030 samples/sec accuracy=33.954613 loss=3.011338 lr=0.067487 Epoch[096] Batch [2149]/[3759] Speed: 162.871598 samples/sec accuracy=33.963663 loss=3.010453 lr=0.067475 Epoch[096] Batch [2199]/[3759] Speed: 163.898073 samples/sec accuracy=33.936080 loss=3.010947 lr=0.067463 Epoch[096] Batch [2249]/[3759] Speed: 163.294127 samples/sec accuracy=33.963889 loss=3.010106 lr=0.067451 Epoch[096] Batch [2299]/[3759] Speed: 164.419400 samples/sec accuracy=33.959239 loss=3.011289 lr=0.067439 Epoch[096] Batch [2349]/[3759] Speed: 165.347030 samples/sec accuracy=33.952128 loss=3.012102 lr=0.067427 Epoch[096] Batch [2399]/[3759] Speed: 164.090910 samples/sec accuracy=33.969401 loss=3.012841 lr=0.067415 Epoch[096] Batch [2449]/[3759] Speed: 162.947006 samples/sec accuracy=33.946429 loss=3.012278 lr=0.067403 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loss=3.014192 lr=0.067173 Epoch[096] Batch [3449]/[3759] Speed: 163.632236 samples/sec accuracy=33.952899 loss=3.014586 lr=0.067161 Epoch[096] Batch [3499]/[3759] Speed: 162.844101 samples/sec accuracy=33.968750 loss=3.013558 lr=0.067148 Epoch[096] Batch [3549]/[3759] Speed: 164.293916 samples/sec accuracy=33.962148 loss=3.014288 lr=0.067136 Epoch[096] Batch [3599]/[3759] Speed: 163.100301 samples/sec accuracy=33.980903 loss=3.014002 lr=0.067124 Epoch[096] Batch [3649]/[3759] Speed: 164.549443 samples/sec accuracy=33.986729 loss=3.013700 lr=0.067112 Epoch[096] Batch [3699]/[3759] Speed: 162.771680 samples/sec accuracy=34.001267 loss=3.013402 lr=0.067100 Epoch[096] Batch [3749]/[3759] Speed: 177.267196 samples/sec accuracy=34.005833 loss=3.012977 lr=0.067088 Batch [0049]/[0303]: acc-top1=35.406250 acc-top5=62.937500 Batch [0099]/[0303]: acc-top1=32.609375 acc-top5=60.500000 Batch [0149]/[0303]: acc-top1=34.000000 acc-top5=61.072917 Batch [0199]/[0303]: acc-top1=36.500000 acc-top5=63.304688 Batch [0249]/[0303]: acc-top1=35.750000 acc-top5=63.025000 Batch [0299]/[0303]: acc-top1=35.369792 acc-top5=62.812500 [Epoch 096] training: accuracy=33.999235 loss=3.013136 [Epoch 096] speed: 163 samples/sec time cost: 1588.336617 [Epoch 096] validation: acc-top1=35.339315 acc-top5=62.855817 loss=3.117191 Epoch[097] Batch [0049]/[3760] Speed: 113.737685 samples/sec accuracy=32.906250 loss=2.998953 lr=0.067074 Epoch[097] Batch [0099]/[3760] Speed: 163.355338 samples/sec accuracy=33.859375 loss=2.993200 lr=0.067061 Epoch[097] Batch [0149]/[3760] Speed: 164.581535 samples/sec accuracy=34.104167 loss=2.994222 lr=0.067049 Epoch[097] Batch [0199]/[3760] Speed: 163.894122 samples/sec accuracy=34.187500 loss=2.990680 lr=0.067037 Epoch[097] Batch [0249]/[3760] Speed: 164.568356 samples/sec accuracy=34.425000 loss=2.986557 lr=0.067025 Epoch[097] Batch [0299]/[3760] Speed: 163.016082 samples/sec accuracy=34.302083 loss=2.986272 lr=0.067013 Epoch[097] Batch [0349]/[3760] Speed: 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loss=2.989355 lr=0.066892 Epoch[097] Batch [0849]/[3760] Speed: 162.793754 samples/sec accuracy=34.428309 loss=2.987124 lr=0.066879 Epoch[097] Batch [0899]/[3760] Speed: 164.383837 samples/sec accuracy=34.376736 loss=2.988278 lr=0.066867 Epoch[097] Batch [0949]/[3760] Speed: 164.169385 samples/sec accuracy=34.277961 loss=2.989513 lr=0.066855 Epoch[097] Batch [0999]/[3760] Speed: 166.041257 samples/sec accuracy=34.292187 loss=2.988728 lr=0.066843 Epoch[097] Batch [1049]/[3760] Speed: 163.629040 samples/sec accuracy=34.305060 loss=2.988666 lr=0.066831 Epoch[097] Batch [1099]/[3760] Speed: 164.336323 samples/sec accuracy=34.312500 loss=2.987631 lr=0.066819 Epoch[097] Batch [1149]/[3760] Speed: 162.726772 samples/sec accuracy=34.267663 loss=2.989959 lr=0.066807 Epoch[097] Batch [1199]/[3760] Speed: 163.131325 samples/sec accuracy=34.240885 loss=2.991244 lr=0.066794 Epoch[097] Batch [1249]/[3760] Speed: 162.989593 samples/sec accuracy=34.231250 loss=2.992688 lr=0.066782 Epoch[097] Batch 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accuracy=34.172321 loss=2.995692 lr=0.066661 Epoch[097] Batch [1799]/[3760] Speed: 162.843198 samples/sec accuracy=34.185764 loss=2.995587 lr=0.066649 Epoch[097] Batch [1849]/[3760] Speed: 166.213330 samples/sec accuracy=34.169764 loss=2.997465 lr=0.066636 Epoch[097] Batch [1899]/[3760] Speed: 165.040176 samples/sec accuracy=34.151316 loss=2.997785 lr=0.066624 Epoch[097] Batch [1949]/[3760] Speed: 163.012117 samples/sec accuracy=34.162660 loss=2.997101 lr=0.066612 Epoch[097] Batch [1999]/[3760] Speed: 164.232623 samples/sec accuracy=34.166406 loss=2.997099 lr=0.066600 Epoch[097] Batch [2049]/[3760] Speed: 164.342565 samples/sec accuracy=34.208841 loss=2.995753 lr=0.066588 Epoch[097] Batch [2099]/[3760] Speed: 163.515691 samples/sec accuracy=34.179315 loss=2.997374 lr=0.066576 Epoch[097] Batch [2149]/[3760] Speed: 163.215890 samples/sec accuracy=34.174419 loss=2.998108 lr=0.066563 Epoch[097] Batch [2199]/[3760] Speed: 165.682727 samples/sec accuracy=34.162642 loss=2.998444 lr=0.066551 Epoch[097] Batch [2249]/[3760] Speed: 162.313100 samples/sec accuracy=34.147917 loss=2.999603 lr=0.066539 Epoch[097] Batch [2299]/[3760] Speed: 164.622689 samples/sec accuracy=34.181386 loss=2.998919 lr=0.066527 Epoch[097] Batch [2349]/[3760] Speed: 163.395999 samples/sec accuracy=34.156915 loss=2.999701 lr=0.066515 Epoch[097] Batch [2399]/[3760] Speed: 164.431709 samples/sec accuracy=34.151042 loss=3.000353 lr=0.066503 Epoch[097] Batch [2449]/[3760] Speed: 163.576172 samples/sec accuracy=34.150510 loss=3.000378 lr=0.066490 Epoch[097] Batch [2499]/[3760] Speed: 164.535724 samples/sec accuracy=34.143750 loss=3.000124 lr=0.066478 Epoch[097] Batch [2549]/[3760] Speed: 162.827571 samples/sec accuracy=34.143995 loss=3.000976 lr=0.066466 Epoch[097] Batch [2599]/[3760] Speed: 164.146747 samples/sec accuracy=34.144231 loss=3.000741 lr=0.066454 Epoch[097] Batch [2649]/[3760] Speed: 163.963735 samples/sec accuracy=34.147406 loss=3.001961 lr=0.066442 Epoch[097] Batch [2699]/[3760] Speed: 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loss=3.003549 lr=0.066320 Epoch[097] Batch [3199]/[3760] Speed: 161.782054 samples/sec accuracy=34.076660 loss=3.005208 lr=0.066308 Epoch[097] Batch [3249]/[3760] Speed: 165.064124 samples/sec accuracy=34.085577 loss=3.004531 lr=0.066295 Epoch[097] Batch [3299]/[3760] Speed: 162.793717 samples/sec accuracy=34.085227 loss=3.004406 lr=0.066283 Epoch[097] Batch [3349]/[3760] Speed: 163.438574 samples/sec accuracy=34.098414 loss=3.004352 lr=0.066271 Epoch[097] Batch [3399]/[3760] Speed: 164.092164 samples/sec accuracy=34.108456 loss=3.004180 lr=0.066259 Epoch[097] Batch [3449]/[3760] Speed: 164.463054 samples/sec accuracy=34.104620 loss=3.004688 lr=0.066247 Epoch[097] Batch [3499]/[3760] Speed: 164.599404 samples/sec accuracy=34.108929 loss=3.004958 lr=0.066234 Epoch[097] Batch [3549]/[3760] Speed: 165.803183 samples/sec accuracy=34.099472 loss=3.006019 lr=0.066222 Epoch[097] Batch [3599]/[3760] Speed: 162.773632 samples/sec accuracy=34.089844 loss=3.006638 lr=0.066210 Epoch[097] Batch [3649]/[3760] Speed: 165.761154 samples/sec accuracy=34.088613 loss=3.006942 lr=0.066198 Epoch[097] Batch [3699]/[3760] Speed: 164.767938 samples/sec accuracy=34.102618 loss=3.005335 lr=0.066186 Epoch[097] Batch [3749]/[3760] Speed: 176.315061 samples/sec accuracy=34.087917 loss=3.005584 lr=0.066173 Batch [0049]/[0303]: acc-top1=35.500000 acc-top5=61.875000 Batch [0099]/[0303]: acc-top1=33.093750 acc-top5=59.750000 Batch [0149]/[0303]: acc-top1=34.822917 acc-top5=60.864583 Batch [0199]/[0303]: acc-top1=37.375000 acc-top5=63.398438 Batch [0249]/[0303]: acc-top1=36.443750 acc-top5=62.725000 Batch [0299]/[0303]: acc-top1=36.093750 acc-top5=62.864583 [Epoch 097] training: accuracy=34.086187 loss=3.005816 [Epoch 097] speed: 163 samples/sec time cost: 1589.863420 [Epoch 097] validation: acc-top1=36.014851 acc-top5=62.819719 loss=3.031726 Epoch[098] Batch [0049]/[3759] Speed: 114.193848 samples/sec accuracy=35.718750 loss=2.942931 lr=0.066159 Epoch[098] Batch [0099]/[3759] Speed: 162.535470 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accuracy=34.142708 loss=2.995160 lr=0.065804 Epoch[098] Batch [1549]/[3759] Speed: 162.713065 samples/sec accuracy=34.168347 loss=2.995545 lr=0.065792 Epoch[098] Batch [1599]/[3759] Speed: 165.381712 samples/sec accuracy=34.187500 loss=2.995478 lr=0.065780 Epoch[098] Batch [1649]/[3759] Speed: 165.287568 samples/sec accuracy=34.190341 loss=2.995295 lr=0.065768 Epoch[098] Batch [1699]/[3759] Speed: 164.877618 samples/sec accuracy=34.171875 loss=2.997207 lr=0.065755 Epoch[098] Batch [1749]/[3759] Speed: 162.448873 samples/sec accuracy=34.174107 loss=2.996663 lr=0.065743 Epoch[098] Batch [1799]/[3759] Speed: 162.961270 samples/sec accuracy=34.166667 loss=2.996600 lr=0.065731 Epoch[098] Batch [1849]/[3759] Speed: 164.603748 samples/sec accuracy=34.190034 loss=2.995525 lr=0.065719 Epoch[098] Batch [1899]/[3759] Speed: 163.769065 samples/sec accuracy=34.184211 loss=2.996155 lr=0.065706 Epoch[098] Batch [1949]/[3759] Speed: 164.586942 samples/sec accuracy=34.170673 loss=2.997293 lr=0.065694 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acc-top5=58.135417 Batch [0199]/[0303]: acc-top1=34.976562 acc-top5=60.179688 Batch [0249]/[0303]: acc-top1=34.512500 acc-top5=60.456250 Batch [0299]/[0303]: acc-top1=33.812500 acc-top5=60.187500 [Epoch 098] training: accuracy=34.162177 loss=3.001957 [Epoch 098] speed: 163 samples/sec time cost: 1589.653099 [Epoch 098] validation: acc-top1=33.761345 acc-top5=60.200083 loss=3.217784 Epoch[099] Batch [0049]/[3760] Speed: 114.461803 samples/sec accuracy=34.031250 loss=2.995588 lr=0.065238 Epoch[099] Batch [0099]/[3760] Speed: 165.885624 samples/sec accuracy=34.875000 loss=2.987527 lr=0.065226 Epoch[099] Batch [0149]/[3760] Speed: 164.203467 samples/sec accuracy=34.833333 loss=2.975636 lr=0.065214 Epoch[099] Batch [0199]/[3760] Speed: 163.661449 samples/sec accuracy=34.898438 loss=2.965441 lr=0.065201 Epoch[099] Batch [0249]/[3760] Speed: 161.433620 samples/sec accuracy=34.931250 loss=2.955250 lr=0.065189 Epoch[099] Batch [0299]/[3760] Speed: 164.960063 samples/sec accuracy=35.119792 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accuracy=34.581250 loss=2.984817 lr=0.064943 Epoch[099] Batch [1299]/[3760] Speed: 164.249680 samples/sec accuracy=34.573317 loss=2.986243 lr=0.064931 Epoch[099] Batch [1349]/[3760] Speed: 162.711576 samples/sec accuracy=34.618056 loss=2.984046 lr=0.064918 Epoch[099] Batch [1399]/[3760] Speed: 165.215020 samples/sec accuracy=34.619420 loss=2.985381 lr=0.064906 Epoch[099] Batch [1449]/[3760] Speed: 162.874499 samples/sec accuracy=34.580819 loss=2.986647 lr=0.064894 Epoch[099] Batch [1499]/[3760] Speed: 164.078029 samples/sec accuracy=34.551042 loss=2.988750 lr=0.064882 Epoch[099] Batch [1549]/[3760] Speed: 164.775513 samples/sec accuracy=34.521169 loss=2.989486 lr=0.064869 Epoch[099] Batch [1599]/[3760] Speed: 162.317597 samples/sec accuracy=34.560547 loss=2.986671 lr=0.064857 Epoch[099] Batch [1649]/[3760] Speed: 164.313597 samples/sec accuracy=34.594697 loss=2.985083 lr=0.064845 Epoch[099] Batch [1699]/[3760] Speed: 163.984041 samples/sec accuracy=34.608456 loss=2.985442 lr=0.064832 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loss=2.990348 lr=0.064598 Epoch[099] Batch [2699]/[3760] Speed: 165.418142 samples/sec accuracy=34.469329 loss=2.992571 lr=0.064586 Epoch[099] Batch [2749]/[3760] Speed: 164.885345 samples/sec accuracy=34.482386 loss=2.992882 lr=0.064573 Epoch[099] Batch [2799]/[3760] Speed: 164.673527 samples/sec accuracy=34.492188 loss=2.992220 lr=0.064561 Epoch[099] Batch [2849]/[3760] Speed: 164.910142 samples/sec accuracy=34.490132 loss=2.991593 lr=0.064549 Epoch[099] Batch [2899]/[3760] Speed: 162.476231 samples/sec accuracy=34.477371 loss=2.991597 lr=0.064536 Epoch[099] Batch [2949]/[3760] Speed: 165.705264 samples/sec accuracy=34.488347 loss=2.990848 lr=0.064524 Epoch[099] Batch [2999]/[3760] Speed: 163.768379 samples/sec accuracy=34.482292 loss=2.991428 lr=0.064512 Epoch[099] Batch [3049]/[3760] Speed: 162.839387 samples/sec accuracy=34.478996 loss=2.990240 lr=0.064499 Epoch[099] Batch [3099]/[3760] Speed: 163.524879 samples/sec accuracy=34.488407 loss=2.989826 lr=0.064487 Epoch[099] Batch [3149]/[3760] Speed: 164.735476 samples/sec accuracy=34.483631 loss=2.990112 lr=0.064475 Epoch[099] Batch [3199]/[3760] Speed: 164.834279 samples/sec accuracy=34.482422 loss=2.990711 lr=0.064462 Epoch[099] Batch [3249]/[3760] Speed: 164.421343 samples/sec accuracy=34.471635 loss=2.991442 lr=0.064450 Epoch[099] Batch [3299]/[3760] Speed: 163.146897 samples/sec accuracy=34.466383 loss=2.991793 lr=0.064438 Epoch[099] Batch [3349]/[3760] Speed: 160.149384 samples/sec accuracy=34.456623 loss=2.992048 lr=0.064425 Epoch[099] Batch [3399]/[3760] Speed: 164.622352 samples/sec accuracy=34.449908 loss=2.992529 lr=0.064413 Epoch[099] Batch [3449]/[3760] Speed: 164.335448 samples/sec accuracy=34.466033 loss=2.992018 lr=0.064401 Epoch[099] Batch [3499]/[3760] Speed: 163.895611 samples/sec accuracy=34.453571 loss=2.992290 lr=0.064388 Epoch[099] Batch [3549]/[3760] Speed: 163.472651 samples/sec accuracy=34.458627 loss=2.992289 lr=0.064376 Epoch[099] Batch [3599]/[3760] Speed: 163.357100 samples/sec accuracy=34.458767 loss=2.993317 lr=0.064364 Epoch[099] Batch [3649]/[3760] Speed: 163.431618 samples/sec accuracy=34.453767 loss=2.993732 lr=0.064351 Epoch[099] Batch [3699]/[3760] Speed: 163.576303 samples/sec accuracy=34.453547 loss=2.993921 lr=0.064339 Epoch[099] Batch [3749]/[3760] Speed: 174.975264 samples/sec accuracy=34.452917 loss=2.994065 lr=0.064326 Batch [0049]/[0303]: acc-top1=31.468750 acc-top5=58.406250 Batch [0099]/[0303]: acc-top1=29.343750 acc-top5=57.000000 Batch [0149]/[0303]: acc-top1=31.947917 acc-top5=58.427083 Batch [0199]/[0303]: acc-top1=34.890625 acc-top5=60.554688 Batch [0249]/[0303]: acc-top1=34.575000 acc-top5=60.675000 Batch [0299]/[0303]: acc-top1=33.677083 acc-top5=60.578125 [Epoch 099] training: accuracy=34.451047 loss=2.994141 [Epoch 099] speed: 163 samples/sec time cost: 1589.274091 [Epoch 099] validation: acc-top1=33.720091 acc-top5=60.638408 loss=3.219572 Epoch[100] Batch [0049]/[3760] Speed: 113.518048 samples/sec accuracy=35.937500 loss=2.892363 lr=0.064312 Epoch[100] Batch [0099]/[3760] Speed: 166.776587 samples/sec accuracy=35.031250 loss=2.942500 lr=0.064299 Epoch[100] Batch [0149]/[3760] Speed: 162.010486 samples/sec accuracy=34.427083 loss=2.967934 lr=0.064287 Epoch[100] Batch [0199]/[3760] Speed: 165.081099 samples/sec accuracy=34.773438 loss=2.956800 lr=0.064275 Epoch[100] Batch [0249]/[3760] Speed: 163.351161 samples/sec accuracy=35.106250 loss=2.945512 lr=0.064262 Epoch[100] Batch [0299]/[3760] Speed: 165.098672 samples/sec accuracy=35.000000 loss=2.962601 lr=0.064250 Epoch[100] Batch [0349]/[3760] Speed: 165.427639 samples/sec accuracy=34.750000 loss=2.964603 lr=0.064237 Epoch[100] Batch [0399]/[3760] Speed: 164.174212 samples/sec accuracy=34.929688 loss=2.959352 lr=0.064225 Epoch[100] Batch [0449]/[3760] Speed: 164.648666 samples/sec accuracy=34.687500 loss=2.971186 lr=0.064213 Epoch[100] Batch [0499]/[3760] Speed: 161.406298 samples/sec accuracy=34.637500 loss=2.972451 lr=0.064200 Epoch[100] Batch [0549]/[3760] 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accuracy=34.546875 loss=2.975532 lr=0.064077 Epoch[100] Batch [1049]/[3760] Speed: 164.535433 samples/sec accuracy=34.547619 loss=2.976080 lr=0.064064 Epoch[100] Batch [1099]/[3760] Speed: 164.379098 samples/sec accuracy=34.609375 loss=2.971721 lr=0.064052 Epoch[100] Batch [1149]/[3760] Speed: 163.079697 samples/sec accuracy=34.573370 loss=2.972336 lr=0.064040 Epoch[100] Batch [1199]/[3760] Speed: 164.004705 samples/sec accuracy=34.601562 loss=2.972308 lr=0.064027 Epoch[100] Batch [1249]/[3760] Speed: 163.783887 samples/sec accuracy=34.667500 loss=2.971429 lr=0.064015 Epoch[100] Batch [1299]/[3760] Speed: 165.189680 samples/sec accuracy=34.669471 loss=2.971405 lr=0.064002 Epoch[100] Batch [1349]/[3760] Speed: 164.816728 samples/sec accuracy=34.665509 loss=2.972076 lr=0.063990 Epoch[100] Batch [1399]/[3760] Speed: 165.104700 samples/sec accuracy=34.640625 loss=2.973752 lr=0.063978 Epoch[100] Batch [1449]/[3760] Speed: 163.956645 samples/sec accuracy=34.642241 loss=2.972107 lr=0.063965 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accuracy=34.615672 loss=2.978752 lr=0.063494 Epoch[100] Batch [3399]/[3760] Speed: 164.359999 samples/sec accuracy=34.585938 loss=2.979656 lr=0.063482 Epoch[100] Batch [3449]/[3760] Speed: 162.668659 samples/sec accuracy=34.580616 loss=2.979165 lr=0.063469 Epoch[100] Batch [3499]/[3760] Speed: 163.643414 samples/sec accuracy=34.555357 loss=2.980893 lr=0.063457 Epoch[100] Batch [3549]/[3760] Speed: 164.716767 samples/sec accuracy=34.567342 loss=2.980472 lr=0.063444 Epoch[100] Batch [3599]/[3760] Speed: 163.066901 samples/sec accuracy=34.589844 loss=2.979772 lr=0.063432 Epoch[100] Batch [3649]/[3760] Speed: 164.614201 samples/sec accuracy=34.596747 loss=2.979792 lr=0.063419 Epoch[100] Batch [3699]/[3760] Speed: 165.000784 samples/sec accuracy=34.603463 loss=2.979310 lr=0.063407 Epoch[100] Batch [3749]/[3760] Speed: 174.018087 samples/sec accuracy=34.607917 loss=2.979375 lr=0.063395 Batch [0049]/[0303]: acc-top1=33.062500 acc-top5=59.750000 Batch [0099]/[0303]: acc-top1=29.578125 acc-top5=55.921875 Batch [0149]/[0303]: acc-top1=30.531250 acc-top5=56.770833 Batch [0199]/[0303]: acc-top1=33.148438 acc-top5=59.148437 Batch [0249]/[0303]: acc-top1=32.375000 acc-top5=58.825000 Batch [0299]/[0303]: acc-top1=32.161458 acc-top5=58.635417 [Epoch 100] training: accuracy=34.608544 loss=2.979307 [Epoch 100] speed: 163 samples/sec time cost: 1588.987911 [Epoch 100] validation: acc-top1=32.152434 acc-top5=58.647896 loss=3.407393 Epoch[101] Batch [0049]/[3759] Speed: 116.595422 samples/sec accuracy=35.531250 loss=2.925137 lr=0.063380 Epoch[101] Batch [0099]/[3759] Speed: 165.551249 samples/sec accuracy=34.984375 loss=2.975386 lr=0.063367 Epoch[101] Batch [0149]/[3759] Speed: 164.760814 samples/sec accuracy=35.187500 loss=2.961054 lr=0.063355 Epoch[101] Batch [0199]/[3759] Speed: 164.395878 samples/sec accuracy=35.039062 loss=2.970805 lr=0.063342 Epoch[101] Batch [0249]/[3759] Speed: 162.984047 samples/sec accuracy=34.993750 loss=2.967933 lr=0.063330 Epoch[101] Batch 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accuracy=35.285417 loss=2.950775 lr=0.063206 Epoch[101] Batch [0799]/[3759] Speed: 162.945200 samples/sec accuracy=35.220703 loss=2.953313 lr=0.063193 Epoch[101] Batch [0849]/[3759] Speed: 165.076898 samples/sec accuracy=35.257353 loss=2.952568 lr=0.063181 Epoch[101] Batch [0899]/[3759] Speed: 164.440447 samples/sec accuracy=35.262153 loss=2.951563 lr=0.063168 Epoch[101] Batch [0949]/[3759] Speed: 163.741411 samples/sec accuracy=35.268092 loss=2.950177 lr=0.063156 Epoch[101] Batch [0999]/[3759] Speed: 163.204911 samples/sec accuracy=35.251562 loss=2.949458 lr=0.063143 Epoch[101] Batch [1049]/[3759] Speed: 165.493437 samples/sec accuracy=35.293155 loss=2.948168 lr=0.063131 Epoch[101] Batch [1099]/[3759] Speed: 163.941291 samples/sec accuracy=35.289773 loss=2.949325 lr=0.063119 Epoch[101] Batch [1149]/[3759] Speed: 162.668698 samples/sec accuracy=35.279891 loss=2.949332 lr=0.063106 Epoch[101] Batch [1199]/[3759] Speed: 163.846440 samples/sec accuracy=35.244792 loss=2.950322 lr=0.063094 Epoch[101] Batch [1249]/[3759] Speed: 164.343690 samples/sec accuracy=35.212500 loss=2.951279 lr=0.063081 Epoch[101] Batch [1299]/[3759] Speed: 164.346976 samples/sec accuracy=35.176683 loss=2.954471 lr=0.063069 Epoch[101] Batch [1349]/[3759] Speed: 164.734576 samples/sec accuracy=35.173611 loss=2.954356 lr=0.063056 Epoch[101] Batch [1399]/[3759] Speed: 164.924862 samples/sec accuracy=35.169643 loss=2.954986 lr=0.063044 Epoch[101] Batch [1449]/[3759] Speed: 163.928119 samples/sec accuracy=35.156250 loss=2.955335 lr=0.063031 Epoch[101] Batch [1499]/[3759] Speed: 162.740410 samples/sec accuracy=35.108333 loss=2.956806 lr=0.063019 Epoch[101] Batch [1549]/[3759] Speed: 163.320023 samples/sec accuracy=35.108871 loss=2.955291 lr=0.063006 Epoch[101] Batch [1599]/[3759] Speed: 163.288864 samples/sec accuracy=35.098633 loss=2.954889 lr=0.062994 Epoch[101] Batch [1649]/[3759] Speed: 164.426573 samples/sec accuracy=35.020833 loss=2.956758 lr=0.062982 Epoch[101] Batch [1699]/[3759] Speed: 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loss=2.961611 lr=0.062857 Epoch[101] Batch [2199]/[3759] Speed: 162.544045 samples/sec accuracy=34.900568 loss=2.961213 lr=0.062845 Epoch[101] Batch [2249]/[3759] Speed: 162.797664 samples/sec accuracy=34.905556 loss=2.960826 lr=0.062832 Epoch[101] Batch [2299]/[3759] Speed: 164.363479 samples/sec accuracy=34.922554 loss=2.961028 lr=0.062820 Epoch[101] Batch [2349]/[3759] Speed: 163.134594 samples/sec accuracy=34.914894 loss=2.960813 lr=0.062807 Epoch[101] Batch [2399]/[3759] Speed: 165.440253 samples/sec accuracy=34.890625 loss=2.961352 lr=0.062795 Epoch[101] Batch [2449]/[3759] Speed: 162.718064 samples/sec accuracy=34.895408 loss=2.961407 lr=0.062782 Epoch[101] Batch [2499]/[3759] Speed: 162.691373 samples/sec accuracy=34.891250 loss=2.960894 lr=0.062770 Epoch[101] Batch [2549]/[3759] Speed: 165.876738 samples/sec accuracy=34.901961 loss=2.961233 lr=0.062757 Epoch[101] Batch [2599]/[3759] Speed: 163.928278 samples/sec accuracy=34.906250 loss=2.960206 lr=0.062745 Epoch[101] Batch [2649]/[3759] Speed: 163.526686 samples/sec accuracy=34.875000 loss=2.962670 lr=0.062732 Epoch[101] Batch [2699]/[3759] Speed: 164.878402 samples/sec accuracy=34.881944 loss=2.962700 lr=0.062720 Epoch[101] Batch [2749]/[3759] Speed: 165.495217 samples/sec accuracy=34.889773 loss=2.962187 lr=0.062707 Epoch[101] Batch [2799]/[3759] Speed: 163.942138 samples/sec accuracy=34.867188 loss=2.962924 lr=0.062695 Epoch[101] Batch [2849]/[3759] Speed: 163.711559 samples/sec accuracy=34.839364 loss=2.963516 lr=0.062682 Epoch[101] Batch [2899]/[3759] Speed: 162.949617 samples/sec accuracy=34.827586 loss=2.963629 lr=0.062670 Epoch[101] Batch [2949]/[3759] Speed: 164.330285 samples/sec accuracy=34.807733 loss=2.963902 lr=0.062657 Epoch[101] Batch [2999]/[3759] Speed: 164.736123 samples/sec accuracy=34.806771 loss=2.964140 lr=0.062645 Epoch[101] Batch [3049]/[3759] Speed: 164.255766 samples/sec accuracy=34.805840 loss=2.964048 lr=0.062633 Epoch[101] Batch [3099]/[3759] Speed: 165.489687 samples/sec accuracy=34.786794 loss=2.964791 lr=0.062620 Epoch[101] Batch [3149]/[3759] Speed: 166.080688 samples/sec accuracy=34.805556 loss=2.964405 lr=0.062608 Epoch[101] Batch [3199]/[3759] Speed: 163.989472 samples/sec accuracy=34.802734 loss=2.964807 lr=0.062595 Epoch[101] Batch [3249]/[3759] Speed: 165.080689 samples/sec accuracy=34.802885 loss=2.964652 lr=0.062583 Epoch[101] Batch [3299]/[3759] Speed: 166.222136 samples/sec accuracy=34.793087 loss=2.964711 lr=0.062570 Epoch[101] Batch [3349]/[3759] Speed: 163.484889 samples/sec accuracy=34.810168 loss=2.964623 lr=0.062558 Epoch[101] Batch [3399]/[3759] Speed: 160.973528 samples/sec accuracy=34.795037 loss=2.965574 lr=0.062545 Epoch[101] Batch [3449]/[3759] Speed: 163.368958 samples/sec accuracy=34.790761 loss=2.965818 lr=0.062533 Epoch[101] Batch [3499]/[3759] Speed: 164.659335 samples/sec accuracy=34.784375 loss=2.966444 lr=0.062520 Epoch[101] Batch [3549]/[3759] Speed: 165.635953 samples/sec accuracy=34.794454 loss=2.966611 lr=0.062508 Epoch[101] Batch [3599]/[3759] Speed: 165.170581 samples/sec accuracy=34.776476 loss=2.967393 lr=0.062495 Epoch[101] Batch [3649]/[3759] Speed: 162.103189 samples/sec accuracy=34.762842 loss=2.968166 lr=0.062483 Epoch[101] Batch [3699]/[3759] Speed: 164.423138 samples/sec accuracy=34.771537 loss=2.968052 lr=0.062470 Epoch[101] Batch [3749]/[3759] Speed: 176.236349 samples/sec accuracy=34.763333 loss=2.968279 lr=0.062458 Batch [0049]/[0303]: acc-top1=36.125000 acc-top5=61.125000 Batch [0099]/[0303]: acc-top1=33.468750 acc-top5=59.078125 Batch [0149]/[0303]: acc-top1=35.281250 acc-top5=60.541667 Batch [0199]/[0303]: acc-top1=36.851562 acc-top5=62.046875 Batch [0249]/[0303]: acc-top1=35.912500 acc-top5=62.018750 Batch [0299]/[0303]: acc-top1=35.276042 acc-top5=62.036458 [Epoch 101] training: accuracy=34.766145 loss=2.968087 [Epoch 101] speed: 163 samples/sec time cost: 1586.549917 [Epoch 101] validation: acc-top1=35.313531 acc-top5=62.082302 loss=3.095537 Epoch[102] Batch [0049]/[3760] Speed: 115.037037 samples/sec accuracy=35.093750 loss=2.953173 lr=0.062443 Epoch[102] Batch [0099]/[3760] Speed: 163.605899 samples/sec accuracy=35.296875 loss=2.920054 lr=0.062430 Epoch[102] Batch [0149]/[3760] Speed: 163.622130 samples/sec accuracy=35.395833 loss=2.921002 lr=0.062418 Epoch[102] Batch [0199]/[3760] Speed: 165.193721 samples/sec accuracy=35.093750 loss=2.940189 lr=0.062405 Epoch[102] Batch [0249]/[3760] Speed: 165.858528 samples/sec accuracy=34.968750 loss=2.947961 lr=0.062393 Epoch[102] Batch [0299]/[3760] Speed: 161.946804 samples/sec accuracy=34.885417 loss=2.947381 lr=0.062381 Epoch[102] Batch [0349]/[3760] Speed: 163.897040 samples/sec accuracy=35.120536 loss=2.943955 lr=0.062368 Epoch[102] Batch [0399]/[3760] Speed: 164.607803 samples/sec accuracy=35.132812 loss=2.942290 lr=0.062356 Epoch[102] Batch [0449]/[3760] Speed: 163.348056 samples/sec accuracy=35.107639 loss=2.943974 lr=0.062343 Epoch[102] Batch [0499]/[3760] Speed: 163.795822 samples/sec accuracy=35.087500 loss=2.944922 lr=0.062331 Epoch[102] Batch [0549]/[3760] Speed: 164.497675 samples/sec accuracy=34.980114 loss=2.948089 lr=0.062318 Epoch[102] Batch [0599]/[3760] Speed: 164.527499 samples/sec accuracy=34.992188 loss=2.949325 lr=0.062306 Epoch[102] Batch [0649]/[3760] Speed: 162.938759 samples/sec accuracy=34.891827 loss=2.952342 lr=0.062293 Epoch[102] Batch [0699]/[3760] Speed: 165.190430 samples/sec accuracy=35.002232 loss=2.948414 lr=0.062281 Epoch[102] Batch [0749]/[3760] Speed: 164.515179 samples/sec accuracy=35.104167 loss=2.943470 lr=0.062268 Epoch[102] Batch [0799]/[3760] Speed: 163.545578 samples/sec accuracy=35.199219 loss=2.940677 lr=0.062256 Epoch[102] Batch [0849]/[3760] Speed: 163.638460 samples/sec accuracy=35.251838 loss=2.942557 lr=0.062243 Epoch[102] Batch [0899]/[3760] Speed: 163.297713 samples/sec accuracy=35.208333 loss=2.946042 lr=0.062230 Epoch[102] Batch [0949]/[3760] Speed: 163.466151 samples/sec accuracy=35.222039 loss=2.946228 lr=0.062218 Epoch[102] Batch [0999]/[3760] Speed: 164.898124 samples/sec accuracy=35.162500 loss=2.949427 lr=0.062205 Epoch[102] Batch [1049]/[3760] Speed: 163.686033 samples/sec accuracy=35.099702 loss=2.950158 lr=0.062193 Epoch[102] Batch [1099]/[3760] Speed: 163.518225 samples/sec accuracy=35.045455 loss=2.952714 lr=0.062180 Epoch[102] Batch [1149]/[3760] Speed: 164.131735 samples/sec accuracy=34.994565 loss=2.954084 lr=0.062168 Epoch[102] Batch [1199]/[3760] Speed: 162.437948 samples/sec accuracy=35.035156 loss=2.952249 lr=0.062155 Epoch[102] Batch [1249]/[3760] Speed: 163.636365 samples/sec accuracy=35.028750 loss=2.953046 lr=0.062143 Epoch[102] Batch [1299]/[3760] Speed: 163.821132 samples/sec accuracy=34.981971 loss=2.955029 lr=0.062130 Epoch[102] Batch [1349]/[3760] Speed: 163.049259 samples/sec accuracy=35.010417 loss=2.954497 lr=0.062118 Epoch[102] Batch [1399]/[3760] Speed: 165.716278 samples/sec accuracy=34.929688 loss=2.957076 lr=0.062105 Epoch[102] Batch [1449]/[3760] Speed: 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loss=2.957315 lr=0.061980 Epoch[102] Batch [1949]/[3760] Speed: 164.561070 samples/sec accuracy=34.956731 loss=2.956070 lr=0.061968 Epoch[102] Batch [1999]/[3760] Speed: 163.551746 samples/sec accuracy=34.964062 loss=2.955773 lr=0.061955 Epoch[102] Batch [2049]/[3760] Speed: 163.162557 samples/sec accuracy=34.926067 loss=2.956010 lr=0.061943 Epoch[102] Batch [2099]/[3760] Speed: 165.740230 samples/sec accuracy=34.924107 loss=2.956414 lr=0.061930 Epoch[102] Batch [2149]/[3760] Speed: 162.584499 samples/sec accuracy=34.943314 loss=2.955893 lr=0.061918 Epoch[102] Batch [2199]/[3760] Speed: 164.078790 samples/sec accuracy=34.934659 loss=2.956167 lr=0.061905 Epoch[102] Batch [2249]/[3760] Speed: 163.733605 samples/sec accuracy=34.942361 loss=2.956792 lr=0.061893 Epoch[102] Batch [2299]/[3760] Speed: 163.956805 samples/sec accuracy=34.944973 loss=2.955099 lr=0.061880 Epoch[102] Batch [2349]/[3760] Speed: 163.712603 samples/sec accuracy=34.973404 loss=2.954308 lr=0.061867 Epoch[102] Batch 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accuracy=34.975877 loss=2.957581 lr=0.061742 Epoch[102] Batch [2899]/[3760] Speed: 164.040373 samples/sec accuracy=34.961207 loss=2.958570 lr=0.061730 Epoch[102] Batch [2949]/[3760] Speed: 162.459627 samples/sec accuracy=34.962924 loss=2.958149 lr=0.061717 Epoch[102] Batch [2999]/[3760] Speed: 164.617888 samples/sec accuracy=34.977604 loss=2.958081 lr=0.061705 Epoch[102] Batch [3049]/[3760] Speed: 163.903010 samples/sec accuracy=34.977971 loss=2.958084 lr=0.061692 Epoch[102] Batch [3099]/[3760] Speed: 165.094015 samples/sec accuracy=34.974294 loss=2.958597 lr=0.061679 Epoch[102] Batch [3149]/[3760] Speed: 165.207455 samples/sec accuracy=34.980655 loss=2.959184 lr=0.061667 Epoch[102] Batch [3199]/[3760] Speed: 165.998429 samples/sec accuracy=34.985840 loss=2.959365 lr=0.061654 Epoch[102] Batch [3249]/[3760] Speed: 162.097077 samples/sec accuracy=34.992308 loss=2.959513 lr=0.061642 Epoch[102] Batch [3299]/[3760] Speed: 164.278464 samples/sec accuracy=35.008996 loss=2.958699 lr=0.061629 Epoch[102] Batch [3349]/[3760] Speed: 164.199668 samples/sec accuracy=35.013060 loss=2.958111 lr=0.061617 Epoch[102] Batch [3399]/[3760] Speed: 161.866222 samples/sec accuracy=35.017004 loss=2.957875 lr=0.061604 Epoch[102] Batch [3449]/[3760] Speed: 163.066624 samples/sec accuracy=35.015851 loss=2.958221 lr=0.061592 Epoch[102] Batch [3499]/[3760] Speed: 162.994431 samples/sec accuracy=35.041518 loss=2.956655 lr=0.061579 Epoch[102] Batch [3549]/[3760] Speed: 165.102969 samples/sec accuracy=35.012764 loss=2.957380 lr=0.061567 Epoch[102] Batch [3599]/[3760] Speed: 162.792913 samples/sec accuracy=35.018663 loss=2.956683 lr=0.061554 Epoch[102] Batch [3649]/[3760] Speed: 162.472939 samples/sec accuracy=34.993579 loss=2.957302 lr=0.061541 Epoch[102] Batch [3699]/[3760] Speed: 165.763283 samples/sec accuracy=34.972128 loss=2.957956 lr=0.061529 Epoch[102] Batch [3749]/[3760] Speed: 175.405413 samples/sec accuracy=34.972917 loss=2.958229 lr=0.061516 Batch [0049]/[0303]: acc-top1=36.250000 acc-top5=62.031250 Batch [0099]/[0303]: acc-top1=33.937500 acc-top5=60.937500 Batch [0149]/[0303]: acc-top1=35.302083 acc-top5=62.291667 Batch [0199]/[0303]: acc-top1=37.937500 acc-top5=64.148438 Batch [0249]/[0303]: acc-top1=37.318750 acc-top5=63.850000 Batch [0299]/[0303]: acc-top1=36.494792 acc-top5=63.755208 [Epoch 102] training: accuracy=34.973820 loss=2.958368 [Epoch 102] speed: 163 samples/sec time cost: 1590.076989 [Epoch 102] validation: acc-top1=36.520215 acc-top5=63.747937 loss=3.049850 Epoch[103] Batch [0049]/[3760] Speed: 115.831054 samples/sec accuracy=34.406250 loss=3.000710 lr=0.061501 Epoch[103] Batch [0099]/[3760] Speed: 164.514255 samples/sec accuracy=35.281250 loss=2.942107 lr=0.061489 Epoch[103] Batch [0149]/[3760] Speed: 163.756876 samples/sec accuracy=35.677083 loss=2.921243 lr=0.061476 Epoch[103] Batch [0199]/[3760] Speed: 164.002104 samples/sec accuracy=35.343750 loss=2.940281 lr=0.061464 Epoch[103] Batch [0249]/[3760] Speed: 165.273147 samples/sec accuracy=35.768750 loss=2.928218 lr=0.061451 Epoch[103] Batch [0299]/[3760] Speed: 162.276255 samples/sec accuracy=35.692708 loss=2.926005 lr=0.061439 Epoch[103] Batch [0349]/[3760] Speed: 164.039240 samples/sec accuracy=35.566964 loss=2.931556 lr=0.061426 Epoch[103] Batch [0399]/[3760] Speed: 163.508936 samples/sec accuracy=35.582031 loss=2.921825 lr=0.061413 Epoch[103] Batch [0449]/[3760] Speed: 164.956473 samples/sec accuracy=35.381944 loss=2.928839 lr=0.061401 Epoch[103] Batch [0499]/[3760] Speed: 164.578603 samples/sec accuracy=35.281250 loss=2.933756 lr=0.061388 Epoch[103] Batch [0549]/[3760] Speed: 162.618164 samples/sec accuracy=35.309659 loss=2.934826 lr=0.061376 Epoch[103] Batch [0599]/[3760] Speed: 163.731973 samples/sec accuracy=35.356771 loss=2.932416 lr=0.061363 Epoch[103] Batch [0649]/[3760] Speed: 164.914533 samples/sec accuracy=35.317308 loss=2.932521 lr=0.061351 Epoch[103] Batch [0699]/[3760] Speed: 163.122936 samples/sec accuracy=35.323661 loss=2.935256 lr=0.061338 Epoch[103] Batch [0749]/[3760] Speed: 164.376807 samples/sec accuracy=35.258333 loss=2.937853 lr=0.061326 Epoch[103] Batch [0799]/[3760] Speed: 163.915052 samples/sec accuracy=35.236328 loss=2.939951 lr=0.061313 Epoch[103] Batch [0849]/[3760] Speed: 163.619467 samples/sec accuracy=35.283088 loss=2.935828 lr=0.061300 Epoch[103] Batch [0899]/[3760] Speed: 163.678757 samples/sec accuracy=35.312500 loss=2.931739 lr=0.061288 Epoch[103] Batch [0949]/[3760] Speed: 163.426685 samples/sec accuracy=35.338816 loss=2.929229 lr=0.061275 Epoch[103] Batch [0999]/[3760] Speed: 163.491760 samples/sec accuracy=35.329687 loss=2.927564 lr=0.061263 Epoch[103] Batch [1049]/[3760] Speed: 164.049945 samples/sec accuracy=35.308036 loss=2.928290 lr=0.061250 Epoch[103] Batch [1099]/[3760] Speed: 163.845648 samples/sec accuracy=35.352273 loss=2.928708 lr=0.061238 Epoch[103] Batch [1149]/[3760] Speed: 163.814770 samples/sec accuracy=35.327446 loss=2.930963 lr=0.061225 Epoch[103] Batch [1199]/[3760] Speed: 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loss=2.936011 lr=0.061099 Epoch[103] Batch [1699]/[3760] Speed: 162.851646 samples/sec accuracy=35.238051 loss=2.935854 lr=0.061087 Epoch[103] Batch [1749]/[3760] Speed: 164.569756 samples/sec accuracy=35.274107 loss=2.935011 lr=0.061074 Epoch[103] Batch [1799]/[3760] Speed: 164.175917 samples/sec accuracy=35.310764 loss=2.934398 lr=0.061062 Epoch[103] Batch [1849]/[3760] Speed: 164.806136 samples/sec accuracy=35.292230 loss=2.934787 lr=0.061049 Epoch[103] Batch [1899]/[3760] Speed: 163.099290 samples/sec accuracy=35.242599 loss=2.936221 lr=0.061036 Epoch[103] Batch [1949]/[3760] Speed: 165.077783 samples/sec accuracy=35.250000 loss=2.936372 lr=0.061024 Epoch[103] Batch [1999]/[3760] Speed: 164.127869 samples/sec accuracy=35.215625 loss=2.938897 lr=0.061011 Epoch[103] Batch [2049]/[3760] Speed: 163.832510 samples/sec accuracy=35.251524 loss=2.938732 lr=0.060999 Epoch[103] Batch [2099]/[3760] Speed: 163.299388 samples/sec accuracy=35.272321 loss=2.938551 lr=0.060986 Epoch[103] Batch 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accuracy=35.304087 loss=2.939906 lr=0.060860 Epoch[103] Batch [2649]/[3760] Speed: 166.234987 samples/sec accuracy=35.262382 loss=2.942100 lr=0.060848 Epoch[103] Batch [2699]/[3760] Speed: 163.650168 samples/sec accuracy=35.296296 loss=2.941094 lr=0.060835 Epoch[103] Batch [2749]/[3760] Speed: 164.968378 samples/sec accuracy=35.311932 loss=2.941353 lr=0.060822 Epoch[103] Batch [2799]/[3760] Speed: 164.918594 samples/sec accuracy=35.293527 loss=2.942515 lr=0.060810 Epoch[103] Batch [2849]/[3760] Speed: 163.899922 samples/sec accuracy=35.307566 loss=2.942025 lr=0.060797 Epoch[103] Batch [2899]/[3760] Speed: 164.199718 samples/sec accuracy=35.302802 loss=2.943043 lr=0.060785 Epoch[103] Batch [2949]/[3760] Speed: 165.049995 samples/sec accuracy=35.288136 loss=2.943612 lr=0.060772 Epoch[103] Batch [2999]/[3760] Speed: 164.102755 samples/sec accuracy=35.283854 loss=2.942799 lr=0.060759 Epoch[103] Batch [3049]/[3760] Speed: 164.561066 samples/sec accuracy=35.251537 loss=2.944245 lr=0.060747 Epoch[103] Batch [3099]/[3760] Speed: 162.699453 samples/sec accuracy=35.242440 loss=2.945041 lr=0.060734 Epoch[103] Batch [3149]/[3760] Speed: 161.869638 samples/sec accuracy=35.221726 loss=2.945713 lr=0.060722 Epoch[103] Batch [3199]/[3760] Speed: 164.257238 samples/sec accuracy=35.214355 loss=2.946521 lr=0.060709 Epoch[103] Batch [3249]/[3760] Speed: 163.140585 samples/sec accuracy=35.206731 loss=2.946075 lr=0.060696 Epoch[103] Batch [3299]/[3760] Speed: 163.973062 samples/sec accuracy=35.204072 loss=2.946192 lr=0.060684 Epoch[103] Batch [3349]/[3760] Speed: 164.150827 samples/sec accuracy=35.193563 loss=2.946895 lr=0.060671 Epoch[103] Batch [3399]/[3760] Speed: 163.728748 samples/sec accuracy=35.189798 loss=2.947847 lr=0.060659 Epoch[103] Batch [3449]/[3760] Speed: 164.767821 samples/sec accuracy=35.183424 loss=2.948555 lr=0.060646 Epoch[103] Batch [3499]/[3760] Speed: 164.934335 samples/sec accuracy=35.170089 loss=2.949272 lr=0.060633 Epoch[103] Batch [3549]/[3760] Speed: 163.469076 samples/sec accuracy=35.151408 loss=2.950136 lr=0.060621 Epoch[103] Batch [3599]/[3760] Speed: 164.695278 samples/sec accuracy=35.161024 loss=2.949431 lr=0.060608 Epoch[103] Batch [3649]/[3760] Speed: 163.669007 samples/sec accuracy=35.170805 loss=2.949781 lr=0.060596 Epoch[103] Batch [3699]/[3760] Speed: 164.579440 samples/sec accuracy=35.165963 loss=2.949951 lr=0.060583 Epoch[103] Batch [3749]/[3760] Speed: 174.752905 samples/sec accuracy=35.162083 loss=2.949947 lr=0.060570 Batch [0049]/[0303]: acc-top1=38.093750 acc-top5=63.218750 Batch [0099]/[0303]: acc-top1=35.015625 acc-top5=61.796875 Batch [0149]/[0303]: acc-top1=35.645833 acc-top5=62.760417 Batch [0199]/[0303]: acc-top1=37.984375 acc-top5=64.695312 Batch [0249]/[0303]: acc-top1=37.725000 acc-top5=64.906250 Batch [0299]/[0303]: acc-top1=37.223958 acc-top5=64.916667 [Epoch 103] training: accuracy=35.165392 loss=2.949819 [Epoch 103] speed: 163 samples/sec time cost: 1589.220704 [Epoch 103] validation: acc-top1=37.200908 acc-top5=64.944307 loss=2.980816 Epoch[104] Batch [0049]/[3759] Speed: 113.502591 samples/sec accuracy=34.000000 loss=2.894175 lr=0.060555 Epoch[104] Batch [0099]/[3759] Speed: 163.270326 samples/sec accuracy=35.484375 loss=2.862332 lr=0.060543 Epoch[104] Batch [0149]/[3759] Speed: 164.853614 samples/sec accuracy=35.281250 loss=2.881650 lr=0.060530 Epoch[104] Batch [0199]/[3759] Speed: 162.945835 samples/sec accuracy=35.515625 loss=2.887172 lr=0.060518 Epoch[104] Batch [0249]/[3759] Speed: 165.553875 samples/sec accuracy=35.443750 loss=2.896313 lr=0.060505 Epoch[104] Batch [0299]/[3759] Speed: 163.181743 samples/sec accuracy=35.500000 loss=2.892438 lr=0.060492 Epoch[104] Batch [0349]/[3759] Speed: 165.426801 samples/sec accuracy=35.620536 loss=2.893189 lr=0.060480 Epoch[104] Batch [0399]/[3759] Speed: 162.885709 samples/sec accuracy=35.660156 loss=2.893699 lr=0.060467 Epoch[104] Batch [0449]/[3759] Speed: 164.207316 samples/sec accuracy=35.715278 loss=2.898762 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accuracy=35.441964 loss=2.934732 lr=0.060215 Epoch[104] Batch [1449]/[3759] Speed: 164.655384 samples/sec accuracy=35.470905 loss=2.934505 lr=0.060202 Epoch[104] Batch [1499]/[3759] Speed: 162.980821 samples/sec accuracy=35.442708 loss=2.936856 lr=0.060189 Epoch[104] Batch [1549]/[3759] Speed: 165.007531 samples/sec accuracy=35.368952 loss=2.939596 lr=0.060177 Epoch[104] Batch [1599]/[3759] Speed: 165.362439 samples/sec accuracy=35.388672 loss=2.938931 lr=0.060164 Epoch[104] Batch [1649]/[3759] Speed: 164.443404 samples/sec accuracy=35.393939 loss=2.939231 lr=0.060152 Epoch[104] Batch [1699]/[3759] Speed: 164.066946 samples/sec accuracy=35.336397 loss=2.942253 lr=0.060139 Epoch[104] Batch [1749]/[3759] Speed: 164.646402 samples/sec accuracy=35.339286 loss=2.941224 lr=0.060126 Epoch[104] Batch [1799]/[3759] Speed: 163.521273 samples/sec accuracy=35.342882 loss=2.941043 lr=0.060114 Epoch[104] Batch [1849]/[3759] Speed: 164.649161 samples/sec accuracy=35.337838 loss=2.943063 lr=0.060101 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loss=2.948924 lr=0.059861 Epoch[104] Batch [2849]/[3759] Speed: 163.640290 samples/sec accuracy=35.162829 loss=2.948857 lr=0.059848 Epoch[104] Batch [2899]/[3759] Speed: 164.377526 samples/sec accuracy=35.178879 loss=2.948129 lr=0.059836 Epoch[104] Batch [2949]/[3759] Speed: 166.285627 samples/sec accuracy=35.186970 loss=2.947744 lr=0.059823 Epoch[104] Batch [2999]/[3759] Speed: 162.574404 samples/sec accuracy=35.158333 loss=2.947917 lr=0.059810 Epoch[104] Batch [3049]/[3759] Speed: 162.986800 samples/sec accuracy=35.165471 loss=2.947437 lr=0.059798 Epoch[104] Batch [3099]/[3759] Speed: 163.836296 samples/sec accuracy=35.168347 loss=2.947681 lr=0.059785 Epoch[104] Batch [3149]/[3759] Speed: 161.845564 samples/sec accuracy=35.197421 loss=2.946753 lr=0.059772 Epoch[104] Batch [3199]/[3759] Speed: 164.227225 samples/sec accuracy=35.199219 loss=2.946154 lr=0.059760 Epoch[104] Batch [3249]/[3759] Speed: 164.813751 samples/sec accuracy=35.214904 loss=2.945343 lr=0.059747 Epoch[104] Batch 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accuracy=35.202083 loss=2.945242 lr=0.059621 Batch [0049]/[0303]: acc-top1=35.468750 acc-top5=61.343750 Batch [0099]/[0303]: acc-top1=33.703125 acc-top5=59.218750 Batch [0149]/[0303]: acc-top1=34.958333 acc-top5=60.614583 Batch [0199]/[0303]: acc-top1=37.812500 acc-top5=63.109375 Batch [0249]/[0303]: acc-top1=37.193750 acc-top5=63.275000 Batch [0299]/[0303]: acc-top1=36.692708 acc-top5=63.401042 [Epoch 104] training: accuracy=35.197193 loss=2.945458 [Epoch 104] speed: 163 samples/sec time cost: 1587.614469 [Epoch 104] validation: acc-top1=36.736799 acc-top5=63.438531 loss=3.015980 Epoch[105] Batch [0049]/[3760] Speed: 114.368731 samples/sec accuracy=35.718750 loss=2.938526 lr=0.059606 Epoch[105] Batch [0099]/[3760] Speed: 165.329866 samples/sec accuracy=36.515625 loss=2.882334 lr=0.059593 Epoch[105] Batch [0149]/[3760] Speed: 163.335936 samples/sec accuracy=36.593750 loss=2.868537 lr=0.059580 Epoch[105] Batch [0199]/[3760] Speed: 163.695332 samples/sec accuracy=36.398438 loss=2.882017 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accuracy=35.887228 loss=2.912953 lr=0.059327 Epoch[105] Batch [1199]/[3760] Speed: 162.822421 samples/sec accuracy=35.880208 loss=2.913043 lr=0.059314 Epoch[105] Batch [1249]/[3760] Speed: 162.599407 samples/sec accuracy=35.908750 loss=2.911194 lr=0.059302 Epoch[105] Batch [1299]/[3760] Speed: 163.763006 samples/sec accuracy=35.938702 loss=2.909315 lr=0.059289 Epoch[105] Batch [1349]/[3760] Speed: 164.099701 samples/sec accuracy=35.899306 loss=2.911554 lr=0.059276 Epoch[105] Batch [1399]/[3760] Speed: 162.743072 samples/sec accuracy=35.936384 loss=2.912434 lr=0.059264 Epoch[105] Batch [1449]/[3760] Speed: 164.679140 samples/sec accuracy=35.934267 loss=2.913218 lr=0.059251 Epoch[105] Batch [1499]/[3760] Speed: 164.128664 samples/sec accuracy=35.877083 loss=2.915939 lr=0.059238 Epoch[105] Batch [1549]/[3760] Speed: 161.615742 samples/sec accuracy=35.853831 loss=2.916955 lr=0.059226 Epoch[105] Batch [1599]/[3760] Speed: 165.150442 samples/sec accuracy=35.821289 loss=2.919031 lr=0.059213 Epoch[105] Batch [1649]/[3760] Speed: 162.372900 samples/sec accuracy=35.812500 loss=2.919996 lr=0.059200 Epoch[105] Batch [1699]/[3760] Speed: 163.437000 samples/sec accuracy=35.837316 loss=2.918184 lr=0.059188 Epoch[105] Batch [1749]/[3760] Speed: 162.978197 samples/sec accuracy=35.847321 loss=2.919036 lr=0.059175 Epoch[105] Batch [1799]/[3760] Speed: 164.710024 samples/sec accuracy=35.808160 loss=2.921159 lr=0.059162 Epoch[105] Batch [1849]/[3760] Speed: 163.505194 samples/sec accuracy=35.741554 loss=2.922817 lr=0.059150 Epoch[105] Batch [1899]/[3760] Speed: 163.248694 samples/sec accuracy=35.745066 loss=2.922104 lr=0.059137 Epoch[105] Batch [1949]/[3760] Speed: 163.788007 samples/sec accuracy=35.778846 loss=2.921119 lr=0.059124 Epoch[105] Batch [1999]/[3760] Speed: 164.851021 samples/sec accuracy=35.742969 loss=2.922186 lr=0.059112 Epoch[105] Batch [2049]/[3760] Speed: 163.539628 samples/sec accuracy=35.742378 loss=2.922610 lr=0.059099 Epoch[105] Batch [2099]/[3760] Speed: 162.837571 samples/sec accuracy=35.739583 loss=2.923159 lr=0.059086 Epoch[105] Batch [2149]/[3760] Speed: 164.929876 samples/sec accuracy=35.701308 loss=2.924697 lr=0.059073 Epoch[105] Batch [2199]/[3760] Speed: 163.514693 samples/sec accuracy=35.698153 loss=2.925815 lr=0.059061 Epoch[105] Batch [2249]/[3760] Speed: 163.605275 samples/sec accuracy=35.678472 loss=2.927927 lr=0.059048 Epoch[105] Batch [2299]/[3760] Speed: 164.363042 samples/sec accuracy=35.669158 loss=2.928112 lr=0.059035 Epoch[105] Batch [2349]/[3760] Speed: 162.159521 samples/sec accuracy=35.657580 loss=2.929047 lr=0.059023 Epoch[105] Batch [2399]/[3760] Speed: 163.308768 samples/sec accuracy=35.630208 loss=2.929933 lr=0.059010 Epoch[105] Batch [2449]/[3760] Speed: 164.014806 samples/sec accuracy=35.658163 loss=2.929796 lr=0.058997 Epoch[105] Batch [2499]/[3760] Speed: 162.386697 samples/sec accuracy=35.641250 loss=2.930583 lr=0.058985 Epoch[105] Batch [2549]/[3760] Speed: 165.370311 samples/sec accuracy=35.604167 loss=2.931275 lr=0.058972 Epoch[105] Batch [2599]/[3760] Speed: 164.729519 samples/sec accuracy=35.618389 loss=2.931132 lr=0.058959 Epoch[105] Batch [2649]/[3760] Speed: 162.351476 samples/sec accuracy=35.609080 loss=2.931027 lr=0.058947 Epoch[105] Batch [2699]/[3760] Speed: 163.488996 samples/sec accuracy=35.626736 loss=2.930047 lr=0.058934 Epoch[105] Batch [2749]/[3760] Speed: 161.968856 samples/sec accuracy=35.628977 loss=2.929938 lr=0.058921 Epoch[105] Batch [2799]/[3760] Speed: 162.915443 samples/sec accuracy=35.625558 loss=2.930159 lr=0.058909 Epoch[105] Batch [2849]/[3760] Speed: 165.112265 samples/sec accuracy=35.644189 loss=2.929374 lr=0.058896 Epoch[105] Batch [2899]/[3760] Speed: 164.863200 samples/sec accuracy=35.633621 loss=2.929168 lr=0.058883 Epoch[105] Batch [2949]/[3760] Speed: 161.967154 samples/sec accuracy=35.638771 loss=2.929199 lr=0.058870 Epoch[105] Batch [2999]/[3760] Speed: 165.779730 samples/sec accuracy=35.652604 loss=2.929126 lr=0.058858 Epoch[105] Batch [3049]/[3760] Speed: 163.651671 samples/sec accuracy=35.664447 loss=2.927954 lr=0.058845 Epoch[105] Batch [3099]/[3760] Speed: 162.813492 samples/sec accuracy=35.670363 loss=2.927624 lr=0.058832 Epoch[105] Batch [3149]/[3760] Speed: 161.110448 samples/sec accuracy=35.665179 loss=2.928139 lr=0.058820 Epoch[105] Batch [3199]/[3760] Speed: 165.418287 samples/sec accuracy=35.653809 loss=2.928699 lr=0.058807 Epoch[105] Batch [3249]/[3760] Speed: 163.493188 samples/sec accuracy=35.640385 loss=2.929287 lr=0.058794 Epoch[105] Batch [3299]/[3760] Speed: 163.776838 samples/sec accuracy=35.635417 loss=2.929931 lr=0.058782 Epoch[105] Batch [3349]/[3760] Speed: 164.538344 samples/sec accuracy=35.620336 loss=2.931083 lr=0.058769 Epoch[105] Batch [3399]/[3760] Speed: 164.399367 samples/sec accuracy=35.624540 loss=2.930766 lr=0.058756 Epoch[105] Batch [3449]/[3760] Speed: 163.616511 samples/sec accuracy=35.620471 loss=2.930692 lr=0.058744 Epoch[105] Batch [3499]/[3760] Speed: 162.962594 samples/sec accuracy=35.607589 loss=2.931498 lr=0.058731 Epoch[105] Batch [3549]/[3760] Speed: 163.434387 samples/sec accuracy=35.599912 loss=2.932608 lr=0.058718 Epoch[105] Batch [3599]/[3760] Speed: 165.397710 samples/sec accuracy=35.588976 loss=2.932484 lr=0.058705 Epoch[105] Batch [3649]/[3760] Speed: 162.742450 samples/sec accuracy=35.588185 loss=2.933275 lr=0.058693 Epoch[105] Batch [3699]/[3760] Speed: 165.783889 samples/sec accuracy=35.570946 loss=2.934002 lr=0.058680 Epoch[105] Batch [3749]/[3760] Speed: 175.417387 samples/sec accuracy=35.575417 loss=2.933267 lr=0.058667 Batch [0049]/[0303]: acc-top1=34.375000 acc-top5=61.281250 Batch [0099]/[0303]: acc-top1=33.265625 acc-top5=60.312500 Batch [0149]/[0303]: acc-top1=34.302083 acc-top5=61.354167 Batch [0199]/[0303]: acc-top1=37.343750 acc-top5=63.531250 Batch [0249]/[0303]: acc-top1=36.518750 acc-top5=62.912500 Batch [0299]/[0303]: acc-top1=35.947917 acc-top5=63.234375 [Epoch 105] training: accuracy=35.583860 loss=2.933030 [Epoch 105] speed: 163 samples/sec time cost: 1590.921910 [Epoch 105] validation: acc-top1=36.040635 acc-top5=63.283828 loss=3.144751 Epoch[106] Batch [0049]/[3760] Speed: 114.395221 samples/sec accuracy=34.406250 loss=2.936096 lr=0.058652 Epoch[106] Batch [0099]/[3760] Speed: 161.958040 samples/sec accuracy=35.484375 loss=2.914372 lr=0.058639 Epoch[106] Batch [0149]/[3760] Speed: 165.162176 samples/sec accuracy=36.062500 loss=2.882219 lr=0.058627 Epoch[106] Batch [0199]/[3760] Speed: 163.041873 samples/sec accuracy=36.078125 loss=2.896711 lr=0.058614 Epoch[106] Batch [0249]/[3760] Speed: 163.532618 samples/sec accuracy=36.118750 loss=2.892940 lr=0.058601 Epoch[106] Batch [0299]/[3760] Speed: 164.241769 samples/sec accuracy=36.109375 loss=2.899946 lr=0.058589 Epoch[106] Batch [0349]/[3760] Speed: 163.184525 samples/sec accuracy=36.031250 loss=2.900072 lr=0.058576 Epoch[106] Batch [0399]/[3760] Speed: 163.674138 samples/sec accuracy=35.953125 loss=2.908670 lr=0.058563 Epoch[106] Batch [0449]/[3760] 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accuracy=35.667788 loss=2.925883 lr=0.057838 Epoch[106] Batch [3299]/[3760] Speed: 162.469811 samples/sec accuracy=35.668087 loss=2.925279 lr=0.057825 Epoch[106] Batch [3349]/[3760] Speed: 163.827305 samples/sec accuracy=35.678172 loss=2.924456 lr=0.057812 Epoch[106] Batch [3399]/[3760] Speed: 163.774922 samples/sec accuracy=35.687500 loss=2.924118 lr=0.057800 Epoch[106] Batch [3449]/[3760] Speed: 163.360965 samples/sec accuracy=35.661232 loss=2.925056 lr=0.057787 Epoch[106] Batch [3499]/[3760] Speed: 162.552911 samples/sec accuracy=35.658036 loss=2.925018 lr=0.057774 Epoch[106] Batch [3549]/[3760] Speed: 163.414339 samples/sec accuracy=35.641285 loss=2.925819 lr=0.057762 Epoch[106] Batch [3599]/[3760] Speed: 164.173879 samples/sec accuracy=35.636285 loss=2.926357 lr=0.057749 Epoch[106] Batch [3649]/[3760] Speed: 162.602541 samples/sec accuracy=35.639555 loss=2.926296 lr=0.057736 Epoch[106] Batch [3699]/[3760] Speed: 163.677893 samples/sec accuracy=35.626267 loss=2.926828 lr=0.057723 Epoch[106] Batch [3749]/[3760] Speed: 177.062999 samples/sec accuracy=35.615417 loss=2.927187 lr=0.057711 Batch [0049]/[0303]: acc-top1=37.062500 acc-top5=62.750000 Batch [0099]/[0303]: acc-top1=34.546875 acc-top5=61.140625 Batch [0149]/[0303]: acc-top1=36.427083 acc-top5=63.104167 Batch [0199]/[0303]: acc-top1=38.460938 acc-top5=64.750000 Batch [0249]/[0303]: acc-top1=37.943750 acc-top5=64.300000 Batch [0299]/[0303]: acc-top1=37.583333 acc-top5=64.640625 [Epoch 106] training: accuracy=35.611287 loss=2.927264 [Epoch 106] speed: 163 samples/sec time cost: 1589.356114 [Epoch 106] validation: acc-top1=37.644389 acc-top5=64.691625 loss=2.993862 Epoch[107] Batch [0049]/[3759] Speed: 114.912444 samples/sec accuracy=36.062500 loss=2.918621 lr=0.057695 Epoch[107] Batch [0099]/[3759] Speed: 159.965835 samples/sec accuracy=35.531250 loss=2.915735 lr=0.057682 Epoch[107] Batch [0149]/[3759] Speed: 165.200807 samples/sec accuracy=35.416667 loss=2.920828 lr=0.057670 Epoch[107] Batch [0199]/[3759] 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accuracy=36.084135 loss=2.895533 lr=0.057542 Epoch[107] Batch [0699]/[3759] Speed: 164.770926 samples/sec accuracy=36.133929 loss=2.891875 lr=0.057530 Epoch[107] Batch [0749]/[3759] Speed: 162.756448 samples/sec accuracy=35.956250 loss=2.899150 lr=0.057517 Epoch[107] Batch [0799]/[3759] Speed: 165.925373 samples/sec accuracy=35.873047 loss=2.901867 lr=0.057504 Epoch[107] Batch [0849]/[3759] Speed: 165.505380 samples/sec accuracy=35.865809 loss=2.901624 lr=0.057491 Epoch[107] Batch [0899]/[3759] Speed: 162.396407 samples/sec accuracy=35.848958 loss=2.900768 lr=0.057479 Epoch[107] Batch [0949]/[3759] Speed: 163.228467 samples/sec accuracy=35.847039 loss=2.901508 lr=0.057466 Epoch[107] Batch [0999]/[3759] Speed: 163.508315 samples/sec accuracy=35.929688 loss=2.901251 lr=0.057453 Epoch[107] Batch [1049]/[3759] Speed: 165.649813 samples/sec accuracy=35.915179 loss=2.904124 lr=0.057440 Epoch[107] Batch [1099]/[3759] Speed: 162.805588 samples/sec accuracy=35.911932 loss=2.902780 lr=0.057428 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loss=2.906928 lr=0.057185 Epoch[107] Batch [2099]/[3759] Speed: 165.222583 samples/sec accuracy=35.905506 loss=2.907711 lr=0.057172 Epoch[107] Batch [2149]/[3759] Speed: 162.970511 samples/sec accuracy=35.901163 loss=2.907277 lr=0.057160 Epoch[107] Batch [2199]/[3759] Speed: 164.795435 samples/sec accuracy=35.899148 loss=2.908549 lr=0.057147 Epoch[107] Batch [2249]/[3759] Speed: 164.001884 samples/sec accuracy=35.869444 loss=2.910209 lr=0.057134 Epoch[107] Batch [2299]/[3759] Speed: 165.215164 samples/sec accuracy=35.891984 loss=2.909531 lr=0.057121 Epoch[107] Batch [2349]/[3759] Speed: 164.289184 samples/sec accuracy=35.882979 loss=2.910228 lr=0.057108 Epoch[107] Batch [2399]/[3759] Speed: 163.516681 samples/sec accuracy=35.869141 loss=2.910767 lr=0.057096 Epoch[107] Batch [2449]/[3759] Speed: 163.808034 samples/sec accuracy=35.847577 loss=2.911683 lr=0.057083 Epoch[107] Batch [2499]/[3759] Speed: 163.198301 samples/sec accuracy=35.846250 loss=2.911916 lr=0.057070 Epoch[107] Batch 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accuracy=35.912500 loss=2.909295 lr=0.056942 Epoch[107] Batch [3049]/[3759] Speed: 164.719696 samples/sec accuracy=35.942623 loss=2.908458 lr=0.056930 Epoch[107] Batch [3099]/[3759] Speed: 163.214954 samples/sec accuracy=35.958165 loss=2.908570 lr=0.056917 Epoch[107] Batch [3149]/[3759] Speed: 163.622914 samples/sec accuracy=35.976687 loss=2.908337 lr=0.056904 Epoch[107] Batch [3199]/[3759] Speed: 163.382553 samples/sec accuracy=35.956055 loss=2.908882 lr=0.056891 Epoch[107] Batch [3249]/[3759] Speed: 163.821292 samples/sec accuracy=35.948558 loss=2.909725 lr=0.056879 Epoch[107] Batch [3299]/[3759] Speed: 162.035441 samples/sec accuracy=35.934186 loss=2.910507 lr=0.056866 Epoch[107] Batch [3349]/[3759] Speed: 161.506190 samples/sec accuracy=35.949627 loss=2.910186 lr=0.056853 Epoch[107] Batch [3399]/[3759] Speed: 165.231322 samples/sec accuracy=35.953125 loss=2.910470 lr=0.056840 Epoch[107] Batch [3449]/[3759] Speed: 161.825699 samples/sec accuracy=35.947011 loss=2.911320 lr=0.056828 Epoch[107] Batch [3499]/[3759] Speed: 163.802313 samples/sec accuracy=35.928571 loss=2.912585 lr=0.056815 Epoch[107] Batch [3549]/[3759] Speed: 162.908797 samples/sec accuracy=35.923856 loss=2.913371 lr=0.056802 Epoch[107] Batch [3599]/[3759] Speed: 164.650718 samples/sec accuracy=35.931424 loss=2.913673 lr=0.056789 Epoch[107] Batch [3649]/[3759] Speed: 163.998086 samples/sec accuracy=35.929795 loss=2.913114 lr=0.056776 Epoch[107] Batch [3699]/[3759] Speed: 163.094107 samples/sec accuracy=35.929476 loss=2.913476 lr=0.056764 Epoch[107] Batch [3749]/[3759] Speed: 177.686183 samples/sec accuracy=35.923333 loss=2.913405 lr=0.056751 Batch [0049]/[0303]: acc-top1=36.937500 acc-top5=62.531250 Batch [0099]/[0303]: acc-top1=34.265625 acc-top5=60.640625 Batch [0149]/[0303]: acc-top1=34.927083 acc-top5=61.656250 Batch [0199]/[0303]: acc-top1=37.101562 acc-top5=63.148438 Batch [0249]/[0303]: acc-top1=36.618750 acc-top5=63.187500 Batch [0299]/[0303]: acc-top1=36.203125 acc-top5=63.354167 [Epoch 107] training: accuracy=35.917548 loss=2.913562 [Epoch 107] speed: 163 samples/sec time cost: 1590.139892 [Epoch 107] validation: acc-top1=36.257219 acc-top5=63.392120 loss=3.080148 Epoch[108] Batch [0049]/[3760] Speed: 113.559939 samples/sec accuracy=37.031250 loss=2.860156 lr=0.056736 Epoch[108] Batch [0099]/[3760] Speed: 164.530929 samples/sec accuracy=37.390625 loss=2.826805 lr=0.056723 Epoch[108] Batch [0149]/[3760] Speed: 162.108122 samples/sec accuracy=37.375000 loss=2.838537 lr=0.056710 Epoch[108] Batch [0199]/[3760] Speed: 164.877808 samples/sec accuracy=36.914062 loss=2.856008 lr=0.056697 Epoch[108] Batch [0249]/[3760] Speed: 163.761306 samples/sec accuracy=36.468750 loss=2.861353 lr=0.056685 Epoch[108] Batch [0299]/[3760] Speed: 164.603251 samples/sec accuracy=36.447917 loss=2.861756 lr=0.056672 Epoch[108] Batch [0349]/[3760] Speed: 161.721157 samples/sec accuracy=36.535714 loss=2.864139 lr=0.056659 Epoch[108] Batch [0399]/[3760] Speed: 163.331145 samples/sec accuracy=36.593750 loss=2.864696 lr=0.056646 Epoch[108] Batch [0449]/[3760] Speed: 165.431305 samples/sec accuracy=36.555556 loss=2.863771 lr=0.056634 Epoch[108] Batch [0499]/[3760] Speed: 162.404349 samples/sec accuracy=36.525000 loss=2.865920 lr=0.056621 Epoch[108] Batch [0549]/[3760] Speed: 165.196739 samples/sec accuracy=36.386364 loss=2.869324 lr=0.056608 Epoch[108] Batch [0599]/[3760] Speed: 161.232567 samples/sec accuracy=36.367188 loss=2.869356 lr=0.056595 Epoch[108] Batch [0649]/[3760] Speed: 164.564429 samples/sec accuracy=36.396635 loss=2.869971 lr=0.056582 Epoch[108] Batch [0699]/[3760] Speed: 162.594432 samples/sec accuracy=36.292411 loss=2.875744 lr=0.056570 Epoch[108] Batch [0749]/[3760] Speed: 164.807099 samples/sec accuracy=36.268750 loss=2.877130 lr=0.056557 Epoch[108] Batch [0799]/[3760] Speed: 165.366776 samples/sec accuracy=36.304688 loss=2.877035 lr=0.056544 Epoch[108] Batch [0849]/[3760] Speed: 163.654075 samples/sec accuracy=36.345588 loss=2.875218 lr=0.056531 Epoch[108] Batch [0899]/[3760] Speed: 162.552411 samples/sec accuracy=36.317708 loss=2.877969 lr=0.056518 Epoch[108] Batch [0949]/[3760] Speed: 163.237442 samples/sec accuracy=36.402961 loss=2.874617 lr=0.056506 Epoch[108] Batch [0999]/[3760] Speed: 163.167631 samples/sec accuracy=36.440625 loss=2.873506 lr=0.056493 Epoch[108] Batch [1049]/[3760] Speed: 164.406039 samples/sec accuracy=36.430060 loss=2.873446 lr=0.056480 Epoch[108] Batch [1099]/[3760] Speed: 164.545830 samples/sec accuracy=36.431818 loss=2.874764 lr=0.056467 Epoch[108] Batch [1149]/[3760] Speed: 163.176790 samples/sec accuracy=36.392663 loss=2.876961 lr=0.056455 Epoch[108] Batch [1199]/[3760] Speed: 164.732309 samples/sec accuracy=36.365885 loss=2.878096 lr=0.056442 Epoch[108] Batch [1249]/[3760] Speed: 163.311627 samples/sec accuracy=36.335000 loss=2.880579 lr=0.056429 Epoch[108] Batch [1299]/[3760] Speed: 163.657773 samples/sec accuracy=36.334135 loss=2.882399 lr=0.056416 Epoch[108] Batch [1349]/[3760] Speed: 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loss=2.883613 lr=0.056288 Epoch[108] Batch [1849]/[3760] Speed: 162.339179 samples/sec accuracy=36.323480 loss=2.883371 lr=0.056275 Epoch[108] Batch [1899]/[3760] Speed: 163.818303 samples/sec accuracy=36.325658 loss=2.883242 lr=0.056263 Epoch[108] Batch [1949]/[3760] Speed: 164.314082 samples/sec accuracy=36.307692 loss=2.885269 lr=0.056250 Epoch[108] Batch [1999]/[3760] Speed: 165.040344 samples/sec accuracy=36.271875 loss=2.886752 lr=0.056237 Epoch[108] Batch [2049]/[3760] Speed: 162.667961 samples/sec accuracy=36.276677 loss=2.885825 lr=0.056224 Epoch[108] Batch [2099]/[3760] Speed: 163.289049 samples/sec accuracy=36.265625 loss=2.887134 lr=0.056211 Epoch[108] Batch [2149]/[3760] Speed: 162.772171 samples/sec accuracy=36.276163 loss=2.887563 lr=0.056199 Epoch[108] Batch [2199]/[3760] Speed: 162.564421 samples/sec accuracy=36.294034 loss=2.888239 lr=0.056186 Epoch[108] Batch [2249]/[3760] Speed: 165.829818 samples/sec accuracy=36.314583 loss=2.888401 lr=0.056173 Epoch[108] Batch 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accuracy=36.214773 loss=2.896021 lr=0.056045 Epoch[108] Batch [2799]/[3760] Speed: 163.268461 samples/sec accuracy=36.212612 loss=2.896267 lr=0.056032 Epoch[108] Batch [2849]/[3760] Speed: 164.835745 samples/sec accuracy=36.185855 loss=2.896946 lr=0.056019 Epoch[108] Batch [2899]/[3760] Speed: 163.680677 samples/sec accuracy=36.169720 loss=2.897795 lr=0.056007 Epoch[108] Batch [2949]/[3760] Speed: 162.742635 samples/sec accuracy=36.179025 loss=2.897828 lr=0.055994 Epoch[108] Batch [2999]/[3760] Speed: 163.622413 samples/sec accuracy=36.151042 loss=2.899664 lr=0.055981 Epoch[108] Batch [3049]/[3760] Speed: 163.334010 samples/sec accuracy=36.138832 loss=2.900184 lr=0.055968 Epoch[108] Batch [3099]/[3760] Speed: 164.900176 samples/sec accuracy=36.176411 loss=2.899195 lr=0.055955 Epoch[108] Batch [3149]/[3760] Speed: 163.781613 samples/sec accuracy=36.190476 loss=2.898743 lr=0.055943 Epoch[108] Batch [3199]/[3760] Speed: 164.239180 samples/sec accuracy=36.192383 loss=2.898565 lr=0.055930 Epoch[108] Batch [3249]/[3760] Speed: 163.480656 samples/sec accuracy=36.202885 loss=2.898022 lr=0.055917 Epoch[108] Batch [3299]/[3760] Speed: 163.154334 samples/sec accuracy=36.201705 loss=2.898505 lr=0.055904 Epoch[108] Batch [3349]/[3760] Speed: 164.324130 samples/sec accuracy=36.206623 loss=2.898612 lr=0.055891 Epoch[108] Batch [3399]/[3760] Speed: 164.958810 samples/sec accuracy=36.201287 loss=2.899082 lr=0.055879 Epoch[108] Batch [3449]/[3760] Speed: 163.235773 samples/sec accuracy=36.202446 loss=2.898503 lr=0.055866 Epoch[108] Batch [3499]/[3760] Speed: 166.049794 samples/sec accuracy=36.167411 loss=2.899768 lr=0.055853 Epoch[108] Batch [3549]/[3760] Speed: 163.737534 samples/sec accuracy=36.150528 loss=2.899713 lr=0.055840 Epoch[108] Batch [3599]/[3760] Speed: 162.847477 samples/sec accuracy=36.132812 loss=2.900479 lr=0.055827 Epoch[108] Batch [3649]/[3760] Speed: 165.726216 samples/sec accuracy=36.139983 loss=2.900299 lr=0.055815 Epoch[108] Batch [3699]/[3760] Speed: 165.514562 samples/sec accuracy=36.138936 loss=2.899812 lr=0.055802 Epoch[108] Batch [3749]/[3760] Speed: 176.395160 samples/sec accuracy=36.131250 loss=2.900761 lr=0.055789 Batch [0049]/[0303]: acc-top1=40.062500 acc-top5=65.187500 Batch [0099]/[0303]: acc-top1=37.328125 acc-top5=62.984375 Batch [0149]/[0303]: acc-top1=38.458333 acc-top5=64.000000 Batch [0199]/[0303]: acc-top1=40.101562 acc-top5=65.750000 Batch [0249]/[0303]: acc-top1=39.387500 acc-top5=65.550000 Batch [0299]/[0303]: acc-top1=38.901042 acc-top5=65.526042 [Epoch 108] training: accuracy=36.127826 loss=2.900969 [Epoch 108] speed: 163 samples/sec time cost: 1590.728936 [Epoch 108] validation: acc-top1=38.882013 acc-top5=65.563119 loss=2.890015 Epoch[109] Batch [0049]/[3760] Speed: 115.834395 samples/sec accuracy=36.687500 loss=2.877823 lr=0.055774 Epoch[109] Batch [0099]/[3760] Speed: 164.290447 samples/sec accuracy=36.515625 loss=2.895978 lr=0.055761 Epoch[109] Batch [0149]/[3760] Speed: 165.716462 samples/sec accuracy=36.593750 loss=2.876667 lr=0.055748 Epoch[109] Batch [0199]/[3760] Speed: 165.448221 samples/sec accuracy=36.531250 loss=2.878127 lr=0.055735 Epoch[109] Batch [0249]/[3760] Speed: 165.484335 samples/sec accuracy=36.187500 loss=2.897523 lr=0.055722 Epoch[109] Batch [0299]/[3760] Speed: 163.536900 samples/sec accuracy=36.463542 loss=2.891818 lr=0.055709 Epoch[109] Batch [0349]/[3760] Speed: 164.534701 samples/sec accuracy=36.508929 loss=2.889764 lr=0.055697 Epoch[109] Batch [0399]/[3760] Speed: 163.234605 samples/sec accuracy=36.625000 loss=2.882291 lr=0.055684 Epoch[109] Batch [0449]/[3760] Speed: 162.293438 samples/sec accuracy=36.475694 loss=2.885369 lr=0.055671 Epoch[109] Batch [0499]/[3760] Speed: 163.078260 samples/sec accuracy=36.306250 loss=2.894193 lr=0.055658 Epoch[109] Batch [0549]/[3760] Speed: 163.819665 samples/sec accuracy=36.312500 loss=2.895307 lr=0.055645 Epoch[109] Batch [0599]/[3760] Speed: 163.448279 samples/sec accuracy=36.101562 loss=2.903852 lr=0.055633 Epoch[109] Batch [0649]/[3760] Speed: 163.852577 samples/sec accuracy=36.206731 loss=2.899137 lr=0.055620 Epoch[109] Batch [0699]/[3760] Speed: 162.395287 samples/sec accuracy=36.162946 loss=2.902571 lr=0.055607 Epoch[109] Batch [0749]/[3760] Speed: 163.306757 samples/sec accuracy=36.166667 loss=2.900384 lr=0.055594 Epoch[109] Batch [0799]/[3760] Speed: 164.495319 samples/sec accuracy=36.197266 loss=2.897349 lr=0.055581 Epoch[109] Batch [0849]/[3760] Speed: 162.466175 samples/sec accuracy=36.303309 loss=2.893818 lr=0.055568 Epoch[109] Batch [0899]/[3760] Speed: 163.296249 samples/sec accuracy=36.262153 loss=2.893442 lr=0.055556 Epoch[109] Batch [0949]/[3760] Speed: 165.748239 samples/sec accuracy=36.310855 loss=2.892232 lr=0.055543 Epoch[109] Batch [0999]/[3760] Speed: 161.860175 samples/sec accuracy=36.292187 loss=2.892447 lr=0.055530 Epoch[109] Batch [1049]/[3760] Speed: 163.484859 samples/sec accuracy=36.230655 loss=2.890992 lr=0.055517 Epoch[109] Batch [1099]/[3760] Speed: 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loss=2.892376 lr=0.055389 Epoch[109] Batch [1599]/[3760] Speed: 162.460417 samples/sec accuracy=36.256836 loss=2.893456 lr=0.055376 Epoch[109] Batch [1649]/[3760] Speed: 163.730196 samples/sec accuracy=36.276515 loss=2.894030 lr=0.055363 Epoch[109] Batch [1699]/[3760] Speed: 164.851308 samples/sec accuracy=36.313419 loss=2.892123 lr=0.055351 Epoch[109] Batch [1749]/[3760] Speed: 163.177639 samples/sec accuracy=36.304464 loss=2.891618 lr=0.055338 Epoch[109] Batch [1799]/[3760] Speed: 164.662848 samples/sec accuracy=36.282118 loss=2.893823 lr=0.055325 Epoch[109] Batch [1849]/[3760] Speed: 163.621785 samples/sec accuracy=36.294764 loss=2.892733 lr=0.055312 Epoch[109] Batch [1899]/[3760] Speed: 164.057318 samples/sec accuracy=36.276316 loss=2.893425 lr=0.055299 Epoch[109] Batch [1949]/[3760] Speed: 162.424162 samples/sec accuracy=36.306090 loss=2.892867 lr=0.055286 Epoch[109] Batch [1999]/[3760] Speed: 164.048224 samples/sec accuracy=36.287500 loss=2.893864 lr=0.055274 Epoch[109] Batch 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accuracy=36.275000 loss=2.894478 lr=0.055145 Epoch[109] Batch [2549]/[3760] Speed: 164.543252 samples/sec accuracy=36.261029 loss=2.895619 lr=0.055133 Epoch[109] Batch [2599]/[3760] Speed: 163.707294 samples/sec accuracy=36.274038 loss=2.895671 lr=0.055120 Epoch[109] Batch [2649]/[3760] Speed: 163.360676 samples/sec accuracy=36.284198 loss=2.895060 lr=0.055107 Epoch[109] Batch [2699]/[3760] Speed: 162.054358 samples/sec accuracy=36.296296 loss=2.894454 lr=0.055094 Epoch[109] Batch [2749]/[3760] Speed: 164.417770 samples/sec accuracy=36.307955 loss=2.894869 lr=0.055081 Epoch[109] Batch [2799]/[3760] Speed: 165.154734 samples/sec accuracy=36.297433 loss=2.893701 lr=0.055068 Epoch[109] Batch [2849]/[3760] Speed: 163.766791 samples/sec accuracy=36.293860 loss=2.894066 lr=0.055056 Epoch[109] Batch [2899]/[3760] Speed: 163.785190 samples/sec accuracy=36.299569 loss=2.893750 lr=0.055043 Epoch[109] Batch [2949]/[3760] Speed: 163.661377 samples/sec accuracy=36.311441 loss=2.893303 lr=0.055030 Epoch[109] Batch [2999]/[3760] Speed: 163.238463 samples/sec accuracy=36.296354 loss=2.893556 lr=0.055017 Epoch[109] Batch [3049]/[3760] Speed: 163.808108 samples/sec accuracy=36.284324 loss=2.893470 lr=0.055004 Epoch[109] Batch [3099]/[3760] Speed: 163.169229 samples/sec accuracy=36.275706 loss=2.892890 lr=0.054991 Epoch[109] Batch [3149]/[3760] Speed: 163.884748 samples/sec accuracy=36.295635 loss=2.891781 lr=0.054979 Epoch[109] Batch [3199]/[3760] Speed: 166.356499 samples/sec accuracy=36.289551 loss=2.891755 lr=0.054966 Epoch[109] Batch [3249]/[3760] Speed: 165.130611 samples/sec accuracy=36.287019 loss=2.891742 lr=0.054953 Epoch[109] Batch [3299]/[3760] Speed: 164.586928 samples/sec accuracy=36.307765 loss=2.891486 lr=0.054940 Epoch[109] Batch [3349]/[3760] Speed: 170.681761 samples/sec accuracy=36.310168 loss=2.891463 lr=0.054927 Epoch[109] Batch [3399]/[3760] Speed: 159.382110 samples/sec accuracy=36.305607 loss=2.890568 lr=0.054914 Epoch[109] Batch [3449]/[3760] Speed: 166.026606 samples/sec accuracy=36.289402 loss=2.891533 lr=0.054902 Epoch[109] Batch [3499]/[3760] Speed: 164.114810 samples/sec accuracy=36.284375 loss=2.892011 lr=0.054889 Epoch[109] Batch [3549]/[3760] Speed: 163.535933 samples/sec accuracy=36.293134 loss=2.891927 lr=0.054876 Epoch[109] Batch [3599]/[3760] Speed: 165.059731 samples/sec accuracy=36.296441 loss=2.892109 lr=0.054863 Epoch[109] Batch [3649]/[3760] Speed: 164.076330 samples/sec accuracy=36.281250 loss=2.892509 lr=0.054850 Epoch[109] Batch [3699]/[3760] Speed: 164.659321 samples/sec accuracy=36.293074 loss=2.892197 lr=0.054837 Epoch[109] Batch [3749]/[3760] Speed: 176.967819 samples/sec accuracy=36.302083 loss=2.891857 lr=0.054825 Batch [0049]/[0303]: acc-top1=37.750000 acc-top5=64.187500 Batch [0099]/[0303]: acc-top1=36.859375 acc-top5=62.578125 Batch [0149]/[0303]: acc-top1=37.666667 acc-top5=63.250000 Batch [0199]/[0303]: acc-top1=39.585938 acc-top5=65.023438 Batch [0249]/[0303]: acc-top1=38.850000 acc-top5=64.875000 Batch [0299]/[0303]: acc-top1=38.192708 acc-top5=64.796875 [Epoch 109] training: accuracy=36.307347 loss=2.891584 [Epoch 109] speed: 163 samples/sec time cost: 1588.405657 [Epoch 109] validation: acc-top1=38.144596 acc-top5=64.768977 loss=2.966335 Epoch[110] Batch [0049]/[3759] Speed: 114.826721 samples/sec accuracy=37.250000 loss=2.885272 lr=0.054809 Epoch[110] Batch [0099]/[3759] Speed: 162.411630 samples/sec accuracy=37.000000 loss=2.851417 lr=0.054796 Epoch[110] Batch [0149]/[3759] Speed: 163.882639 samples/sec accuracy=36.968750 loss=2.845169 lr=0.054783 Epoch[110] Batch [0199]/[3759] Speed: 165.040764 samples/sec accuracy=36.992188 loss=2.841942 lr=0.054771 Epoch[110] Batch [0249]/[3759] Speed: 163.379082 samples/sec accuracy=37.062500 loss=2.847423 lr=0.054758 Epoch[110] Batch [0299]/[3759] Speed: 164.290497 samples/sec accuracy=36.734375 loss=2.858068 lr=0.054745 Epoch[110] Batch [0349]/[3759] Speed: 163.959778 samples/sec accuracy=36.665179 loss=2.866590 lr=0.054732 Epoch[110] 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samples/sec accuracy=36.579044 loss=2.866318 lr=0.054604 Epoch[110] Batch [0899]/[3759] Speed: 164.287455 samples/sec accuracy=36.631944 loss=2.864227 lr=0.054591 Epoch[110] Batch [0949]/[3759] Speed: 164.723824 samples/sec accuracy=36.679276 loss=2.863514 lr=0.054578 Epoch[110] Batch [0999]/[3759] Speed: 163.783979 samples/sec accuracy=36.656250 loss=2.863088 lr=0.054565 Epoch[110] Batch [1049]/[3759] Speed: 163.486098 samples/sec accuracy=36.627976 loss=2.866791 lr=0.054552 Epoch[110] Batch [1099]/[3759] Speed: 162.971546 samples/sec accuracy=36.637784 loss=2.867265 lr=0.054539 Epoch[110] Batch [1149]/[3759] Speed: 163.294707 samples/sec accuracy=36.648098 loss=2.865720 lr=0.054527 Epoch[110] Batch [1199]/[3759] Speed: 163.953054 samples/sec accuracy=36.576823 loss=2.869167 lr=0.054514 Epoch[110] Batch [1249]/[3759] Speed: 162.505255 samples/sec accuracy=36.550000 loss=2.872220 lr=0.054501 Epoch[110] Batch [1299]/[3759] Speed: 166.946675 samples/sec accuracy=36.532452 loss=2.873181 lr=0.054488 Epoch[110] Batch [1349]/[3759] Speed: 162.547773 samples/sec accuracy=36.516204 loss=2.873782 lr=0.054475 Epoch[110] Batch [1399]/[3759] Speed: 164.470799 samples/sec accuracy=36.479911 loss=2.876093 lr=0.054462 Epoch[110] Batch [1449]/[3759] Speed: 164.740975 samples/sec accuracy=36.521552 loss=2.875187 lr=0.054450 Epoch[110] Batch [1499]/[3759] Speed: 163.863635 samples/sec accuracy=36.502083 loss=2.875970 lr=0.054437 Epoch[110] Batch [1549]/[3759] Speed: 164.297890 samples/sec accuracy=36.483871 loss=2.876451 lr=0.054424 Epoch[110] Batch [1599]/[3759] Speed: 163.414868 samples/sec accuracy=36.501953 loss=2.876279 lr=0.054411 Epoch[110] Batch [1649]/[3759] Speed: 164.455393 samples/sec accuracy=36.541667 loss=2.875244 lr=0.054398 Epoch[110] Batch [1699]/[3759] Speed: 164.663850 samples/sec accuracy=36.526654 loss=2.877602 lr=0.054385 Epoch[110] Batch [1749]/[3759] Speed: 165.037935 samples/sec accuracy=36.441071 loss=2.881031 lr=0.054372 Epoch[110] Batch [1799]/[3759] 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accuracy=36.395139 loss=2.880683 lr=0.054244 Epoch[110] Batch [2299]/[3759] Speed: 163.463748 samples/sec accuracy=36.407609 loss=2.880126 lr=0.054231 Epoch[110] Batch [2349]/[3759] Speed: 164.083257 samples/sec accuracy=36.436170 loss=2.880109 lr=0.054218 Epoch[110] Batch [2399]/[3759] Speed: 162.956158 samples/sec accuracy=36.427734 loss=2.880875 lr=0.054205 Epoch[110] Batch [2449]/[3759] Speed: 163.575958 samples/sec accuracy=36.440051 loss=2.881355 lr=0.054193 Epoch[110] Batch [2499]/[3759] Speed: 165.298721 samples/sec accuracy=36.468125 loss=2.880968 lr=0.054180 Epoch[110] Batch [2549]/[3759] Speed: 164.284746 samples/sec accuracy=36.469975 loss=2.881146 lr=0.054167 Epoch[110] Batch [2599]/[3759] Speed: 163.754435 samples/sec accuracy=36.487380 loss=2.881210 lr=0.054154 Epoch[110] Batch [2649]/[3759] Speed: 161.271257 samples/sec accuracy=36.496462 loss=2.881474 lr=0.054141 Epoch[110] Batch [2699]/[3759] Speed: 164.127478 samples/sec accuracy=36.516782 loss=2.881189 lr=0.054128 Epoch[110] Batch [2749]/[3759] Speed: 165.234141 samples/sec accuracy=36.524432 loss=2.880935 lr=0.054115 Epoch[110] Batch [2799]/[3759] Speed: 162.168263 samples/sec accuracy=36.550223 loss=2.880440 lr=0.054103 Epoch[110] Batch [2849]/[3759] Speed: 164.649985 samples/sec accuracy=36.553180 loss=2.879978 lr=0.054090 Epoch[110] Batch [2899]/[3759] Speed: 163.908595 samples/sec accuracy=36.548491 loss=2.881178 lr=0.054077 Epoch[110] Batch [2949]/[3759] Speed: 163.799558 samples/sec accuracy=36.572034 loss=2.879931 lr=0.054064 Epoch[110] Batch [2999]/[3759] Speed: 164.827571 samples/sec accuracy=36.582292 loss=2.878921 lr=0.054051 Epoch[110] Batch [3049]/[3759] Speed: 164.057665 samples/sec accuracy=36.573258 loss=2.878884 lr=0.054038 Epoch[110] Batch [3099]/[3759] Speed: 165.359409 samples/sec accuracy=36.584173 loss=2.878243 lr=0.054025 Epoch[110] Batch [3149]/[3759] Speed: 163.626574 samples/sec accuracy=36.576389 loss=2.878501 lr=0.054013 Epoch[110] Batch [3199]/[3759] Speed: 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loss=2.881798 lr=0.053884 Epoch[110] Batch [3699]/[3759] Speed: 163.793215 samples/sec accuracy=36.514780 loss=2.881709 lr=0.053871 Epoch[110] Batch [3749]/[3759] Speed: 178.561440 samples/sec accuracy=36.510833 loss=2.881991 lr=0.053858 Batch [0049]/[0303]: acc-top1=38.968750 acc-top5=63.375000 Batch [0099]/[0303]: acc-top1=35.828125 acc-top5=61.750000 Batch [0149]/[0303]: acc-top1=37.708333 acc-top5=62.895833 Batch [0199]/[0303]: acc-top1=40.226562 acc-top5=65.007812 Batch [0249]/[0303]: acc-top1=39.193750 acc-top5=64.781250 Batch [0299]/[0303]: acc-top1=38.500000 acc-top5=64.963542 [Epoch 110] training: accuracy=36.511123 loss=2.882035 [Epoch 110] speed: 163 samples/sec time cost: 1588.714472 [Epoch 110] validation: acc-top1=38.479785 acc-top5=65.001031 loss=3.034209 Epoch[111] Batch [0049]/[3760] Speed: 114.813762 samples/sec accuracy=36.281250 loss=2.889918 lr=0.053843 Epoch[111] Batch [0099]/[3760] Speed: 164.672388 samples/sec accuracy=35.781250 loss=2.901170 lr=0.053830 Epoch[111] Batch [0149]/[3760] Speed: 163.851015 samples/sec accuracy=36.229167 loss=2.890729 lr=0.053817 Epoch[111] Batch [0199]/[3760] Speed: 163.558859 samples/sec accuracy=36.203125 loss=2.875754 lr=0.053805 Epoch[111] Batch [0249]/[3760] Speed: 164.291400 samples/sec accuracy=36.475000 loss=2.865942 lr=0.053792 Epoch[111] Batch [0299]/[3760] Speed: 161.401847 samples/sec accuracy=36.630208 loss=2.868465 lr=0.053779 Epoch[111] Batch [0349]/[3760] Speed: 164.002028 samples/sec accuracy=36.816964 loss=2.866932 lr=0.053766 Epoch[111] Batch [0399]/[3760] Speed: 162.955438 samples/sec accuracy=36.851562 loss=2.866899 lr=0.053753 Epoch[111] Batch [0449]/[3760] Speed: 164.576001 samples/sec accuracy=36.982639 loss=2.858535 lr=0.053740 Epoch[111] Batch [0499]/[3760] Speed: 165.513858 samples/sec accuracy=36.990625 loss=2.858679 lr=0.053727 Epoch[111] Batch [0549]/[3760] Speed: 163.131382 samples/sec accuracy=37.065341 loss=2.855379 lr=0.053715 Epoch[111] Batch [0599]/[3760] Speed: 163.928956 samples/sec accuracy=37.036458 loss=2.856633 lr=0.053702 Epoch[111] Batch [0649]/[3760] Speed: 162.568773 samples/sec accuracy=37.031250 loss=2.856303 lr=0.053689 Epoch[111] Batch [0699]/[3760] Speed: 164.398840 samples/sec accuracy=37.004464 loss=2.852801 lr=0.053676 Epoch[111] Batch [0749]/[3760] Speed: 163.198146 samples/sec accuracy=37.016667 loss=2.853680 lr=0.053663 Epoch[111] Batch [0799]/[3760] Speed: 164.732768 samples/sec accuracy=36.904297 loss=2.858721 lr=0.053650 Epoch[111] Batch [0849]/[3760] Speed: 162.721279 samples/sec accuracy=36.887868 loss=2.858333 lr=0.053637 Epoch[111] Batch [0899]/[3760] Speed: 165.612752 samples/sec accuracy=36.904514 loss=2.856585 lr=0.053624 Epoch[111] Batch [0949]/[3760] Speed: 163.603729 samples/sec accuracy=36.879934 loss=2.858752 lr=0.053612 Epoch[111] Batch [0999]/[3760] Speed: 164.410840 samples/sec accuracy=36.870313 loss=2.860298 lr=0.053599 Epoch[111] Batch [1049]/[3760] Speed: 163.584066 samples/sec accuracy=36.872024 loss=2.860158 lr=0.053586 Epoch[111] Batch [1099]/[3760] Speed: 163.720877 samples/sec accuracy=36.901989 loss=2.860892 lr=0.053573 Epoch[111] Batch [1149]/[3760] Speed: 162.533831 samples/sec accuracy=36.913043 loss=2.859159 lr=0.053560 Epoch[111] Batch [1199]/[3760] Speed: 165.044659 samples/sec accuracy=36.930990 loss=2.858014 lr=0.053547 Epoch[111] Batch [1249]/[3760] Speed: 162.221567 samples/sec accuracy=36.947500 loss=2.857250 lr=0.053534 Epoch[111] Batch [1299]/[3760] Speed: 164.184455 samples/sec accuracy=36.897837 loss=2.859474 lr=0.053522 Epoch[111] Batch [1349]/[3760] Speed: 162.577811 samples/sec accuracy=36.954861 loss=2.858408 lr=0.053509 Epoch[111] Batch [1399]/[3760] Speed: 164.356529 samples/sec accuracy=36.981027 loss=2.857681 lr=0.053496 Epoch[111] Batch [1449]/[3760] Speed: 165.260677 samples/sec accuracy=36.964440 loss=2.858615 lr=0.053483 Epoch[111] Batch [1499]/[3760] Speed: 163.012142 samples/sec accuracy=36.938542 loss=2.859601 lr=0.053470 Epoch[111] Batch 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accuracy=36.749219 loss=2.865835 lr=0.053341 Epoch[111] Batch [2049]/[3760] Speed: 163.262117 samples/sec accuracy=36.707317 loss=2.867745 lr=0.053329 Epoch[111] Batch [2099]/[3760] Speed: 166.448765 samples/sec accuracy=36.697917 loss=2.868376 lr=0.053316 Epoch[111] Batch [2149]/[3760] Speed: 163.101813 samples/sec accuracy=36.681686 loss=2.867814 lr=0.053303 Epoch[111] Batch [2199]/[3760] Speed: 162.181292 samples/sec accuracy=36.636364 loss=2.869709 lr=0.053290 Epoch[111] Batch [2249]/[3760] Speed: 165.533787 samples/sec accuracy=36.652083 loss=2.868927 lr=0.053277 Epoch[111] Batch [2299]/[3760] Speed: 163.469123 samples/sec accuracy=36.648098 loss=2.869299 lr=0.053264 Epoch[111] Batch [2349]/[3760] Speed: 164.202082 samples/sec accuracy=36.638298 loss=2.869668 lr=0.053251 Epoch[111] Batch [2399]/[3760] Speed: 165.141985 samples/sec accuracy=36.664714 loss=2.868628 lr=0.053238 Epoch[111] Batch [2449]/[3760] Speed: 163.552948 samples/sec accuracy=36.677934 loss=2.867933 lr=0.053226 Epoch[111] Batch [2499]/[3760] Speed: 164.173732 samples/sec accuracy=36.656250 loss=2.869149 lr=0.053213 Epoch[111] Batch [2549]/[3760] Speed: 164.069613 samples/sec accuracy=36.644608 loss=2.868637 lr=0.053200 Epoch[111] Batch [2599]/[3760] Speed: 164.961198 samples/sec accuracy=36.631611 loss=2.869981 lr=0.053187 Epoch[111] Batch [2649]/[3760] Speed: 163.902750 samples/sec accuracy=36.614976 loss=2.871565 lr=0.053174 Epoch[111] Batch [2699]/[3760] Speed: 164.915709 samples/sec accuracy=36.617477 loss=2.871461 lr=0.053161 Epoch[111] Batch [2749]/[3760] Speed: 161.133962 samples/sec accuracy=36.610227 loss=2.871325 lr=0.053148 Epoch[111] Batch [2799]/[3760] Speed: 163.083170 samples/sec accuracy=36.608259 loss=2.871867 lr=0.053135 Epoch[111] Batch [2849]/[3760] Speed: 165.288484 samples/sec accuracy=36.610746 loss=2.871376 lr=0.053123 Epoch[111] Batch [2899]/[3760] Speed: 164.249979 samples/sec accuracy=36.593211 loss=2.871346 lr=0.053110 Epoch[111] Batch [2949]/[3760] Speed: 161.119182 samples/sec accuracy=36.592691 loss=2.870837 lr=0.053097 Epoch[111] Batch [2999]/[3760] Speed: 163.789737 samples/sec accuracy=36.574479 loss=2.871788 lr=0.053084 Epoch[111] Batch [3049]/[3760] Speed: 162.759933 samples/sec accuracy=36.583504 loss=2.871788 lr=0.053071 Epoch[111] Batch [3099]/[3760] Speed: 164.008457 samples/sec accuracy=36.587702 loss=2.871783 lr=0.053058 Epoch[111] Batch [3149]/[3760] Speed: 164.986884 samples/sec accuracy=36.574405 loss=2.872670 lr=0.053045 Epoch[111] Batch [3199]/[3760] Speed: 164.515546 samples/sec accuracy=36.588867 loss=2.872104 lr=0.053033 Epoch[111] Batch [3249]/[3760] Speed: 162.276455 samples/sec accuracy=36.615385 loss=2.870834 lr=0.053020 Epoch[111] Batch [3299]/[3760] Speed: 163.661728 samples/sec accuracy=36.633996 loss=2.870440 lr=0.053007 Epoch[111] Batch [3349]/[3760] Speed: 164.484753 samples/sec accuracy=36.633396 loss=2.871135 lr=0.052994 Epoch[111] Batch [3399]/[3760] Speed: 164.739487 samples/sec accuracy=36.631893 loss=2.870791 lr=0.052981 Epoch[111] Batch [3449]/[3760] Speed: 162.589620 samples/sec accuracy=36.640851 loss=2.870364 lr=0.052968 Epoch[111] Batch [3499]/[3760] Speed: 163.851181 samples/sec accuracy=36.641071 loss=2.869924 lr=0.052955 Epoch[111] Batch [3549]/[3760] Speed: 163.255050 samples/sec accuracy=36.623680 loss=2.870885 lr=0.052942 Epoch[111] Batch [3599]/[3760] Speed: 162.890536 samples/sec accuracy=36.629340 loss=2.871340 lr=0.052930 Epoch[111] Batch [3649]/[3760] Speed: 164.397076 samples/sec accuracy=36.634846 loss=2.871659 lr=0.052917 Epoch[111] Batch [3699]/[3760] Speed: 164.325999 samples/sec accuracy=36.622889 loss=2.871858 lr=0.052904 Epoch[111] Batch [3749]/[3760] Speed: 174.821031 samples/sec accuracy=36.602500 loss=2.872716 lr=0.052891 Batch [0049]/[0303]: acc-top1=39.406250 acc-top5=65.968750 Batch [0099]/[0303]: acc-top1=35.531250 acc-top5=62.828125 Batch [0149]/[0303]: acc-top1=36.645833 acc-top5=63.781250 Batch [0199]/[0303]: acc-top1=39.765625 acc-top5=65.835938 Batch [0249]/[0303]: acc-top1=38.912500 acc-top5=65.343750 Batch [0299]/[0303]: acc-top1=38.807292 acc-top5=65.526042 [Epoch 111] training: accuracy=36.612783 loss=2.872191 [Epoch 111] speed: 163 samples/sec time cost: 1589.979100 [Epoch 111] validation: acc-top1=38.732467 acc-top5=65.527021 loss=2.939941 Epoch[112] Batch [0049]/[3760] Speed: 115.001734 samples/sec accuracy=37.187500 loss=2.835850 lr=0.052875 Epoch[112] Batch [0099]/[3760] Speed: 163.984187 samples/sec accuracy=37.203125 loss=2.841479 lr=0.052863 Epoch[112] Batch [0149]/[3760] Speed: 164.100911 samples/sec accuracy=37.541667 loss=2.852841 lr=0.052850 Epoch[112] Batch [0199]/[3760] Speed: 163.474947 samples/sec accuracy=37.109375 loss=2.850628 lr=0.052837 Epoch[112] Batch [0249]/[3760] Speed: 164.178116 samples/sec accuracy=36.887500 loss=2.854974 lr=0.052824 Epoch[112] Batch [0299]/[3760] Speed: 164.036267 samples/sec accuracy=37.208333 loss=2.843107 lr=0.052811 Epoch[112] Batch [0349]/[3760] Speed: 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loss=2.838017 lr=0.052682 Epoch[112] Batch [0849]/[3760] Speed: 165.167363 samples/sec accuracy=37.327206 loss=2.839419 lr=0.052669 Epoch[112] Batch [0899]/[3760] Speed: 163.255928 samples/sec accuracy=37.324653 loss=2.839198 lr=0.052657 Epoch[112] Batch [0949]/[3760] Speed: 162.822307 samples/sec accuracy=37.332237 loss=2.841504 lr=0.052644 Epoch[112] Batch [0999]/[3760] Speed: 163.688706 samples/sec accuracy=37.315625 loss=2.840916 lr=0.052631 Epoch[112] Batch [1049]/[3760] Speed: 164.714214 samples/sec accuracy=37.309524 loss=2.841740 lr=0.052618 Epoch[112] Batch [1099]/[3760] Speed: 165.438352 samples/sec accuracy=37.278409 loss=2.843262 lr=0.052605 Epoch[112] Batch [1149]/[3760] Speed: 164.118470 samples/sec accuracy=37.316576 loss=2.843499 lr=0.052592 Epoch[112] Batch [1199]/[3760] Speed: 164.650837 samples/sec accuracy=37.300781 loss=2.844971 lr=0.052579 Epoch[112] Batch [1249]/[3760] Speed: 164.637400 samples/sec accuracy=37.233750 loss=2.846900 lr=0.052566 Epoch[112] Batch 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accuracy=37.080357 loss=2.853669 lr=0.052438 Epoch[112] Batch [1799]/[3760] Speed: 163.692064 samples/sec accuracy=37.067708 loss=2.855262 lr=0.052425 Epoch[112] Batch [1849]/[3760] Speed: 165.169648 samples/sec accuracy=37.058277 loss=2.855705 lr=0.052412 Epoch[112] Batch [1899]/[3760] Speed: 163.843920 samples/sec accuracy=37.054276 loss=2.854363 lr=0.052399 Epoch[112] Batch [1949]/[3760] Speed: 162.187323 samples/sec accuracy=37.066506 loss=2.853534 lr=0.052386 Epoch[112] Batch [1999]/[3760] Speed: 163.666013 samples/sec accuracy=37.037500 loss=2.854366 lr=0.052373 Epoch[112] Batch [2049]/[3760] Speed: 162.700844 samples/sec accuracy=36.996189 loss=2.855687 lr=0.052360 Epoch[112] Batch [2099]/[3760] Speed: 165.066664 samples/sec accuracy=36.957589 loss=2.856202 lr=0.052347 Epoch[112] Batch [2149]/[3760] Speed: 164.521640 samples/sec accuracy=36.928779 loss=2.857790 lr=0.052334 Epoch[112] Batch [2199]/[3760] Speed: 164.353255 samples/sec accuracy=36.922585 loss=2.858490 lr=0.052322 Epoch[112] Batch [2249]/[3760] Speed: 164.323722 samples/sec accuracy=36.933333 loss=2.858036 lr=0.052309 Epoch[112] Batch [2299]/[3760] Speed: 165.390659 samples/sec accuracy=36.939538 loss=2.857791 lr=0.052296 Epoch[112] Batch [2349]/[3760] Speed: 163.299038 samples/sec accuracy=36.901596 loss=2.858456 lr=0.052283 Epoch[112] Batch [2399]/[3760] Speed: 163.884530 samples/sec accuracy=36.914714 loss=2.857698 lr=0.052270 Epoch[112] Batch [2449]/[3760] Speed: 162.714144 samples/sec accuracy=36.906888 loss=2.858005 lr=0.052257 Epoch[112] Batch [2499]/[3760] Speed: 163.595180 samples/sec accuracy=36.909375 loss=2.858365 lr=0.052244 Epoch[112] Batch [2549]/[3760] Speed: 165.524862 samples/sec accuracy=36.898284 loss=2.859307 lr=0.052231 Epoch[112] Batch [2599]/[3760] Speed: 164.264372 samples/sec accuracy=36.910457 loss=2.858701 lr=0.052219 Epoch[112] Batch [2649]/[3760] Speed: 162.475250 samples/sec accuracy=36.904481 loss=2.859360 lr=0.052206 Epoch[112] Batch [2699]/[3760] Speed: 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loss=2.860128 lr=0.052077 Epoch[112] Batch [3199]/[3760] Speed: 166.163350 samples/sec accuracy=36.888184 loss=2.860153 lr=0.052064 Epoch[112] Batch [3249]/[3760] Speed: 165.027424 samples/sec accuracy=36.872115 loss=2.860864 lr=0.052051 Epoch[112] Batch [3299]/[3760] Speed: 164.413525 samples/sec accuracy=36.853220 loss=2.861431 lr=0.052038 Epoch[112] Batch [3349]/[3760] Speed: 164.474852 samples/sec accuracy=36.847015 loss=2.861729 lr=0.052025 Epoch[112] Batch [3399]/[3760] Speed: 164.409448 samples/sec accuracy=36.861673 loss=2.861189 lr=0.052012 Epoch[112] Batch [3449]/[3760] Speed: 163.705003 samples/sec accuracy=36.855978 loss=2.861107 lr=0.051999 Epoch[112] Batch [3499]/[3760] Speed: 164.342203 samples/sec accuracy=36.852232 loss=2.861501 lr=0.051987 Epoch[112] Batch [3549]/[3760] Speed: 164.913297 samples/sec accuracy=36.853873 loss=2.861269 lr=0.051974 Epoch[112] Batch [3599]/[3760] Speed: 164.118208 samples/sec accuracy=36.836372 loss=2.862123 lr=0.051961 Epoch[112] Batch [3649]/[3760] Speed: 164.772760 samples/sec accuracy=36.836045 loss=2.862454 lr=0.051948 Epoch[112] Batch [3699]/[3760] Speed: 163.404125 samples/sec accuracy=36.827703 loss=2.862722 lr=0.051935 Epoch[112] Batch [3749]/[3760] Speed: 176.569469 samples/sec accuracy=36.829583 loss=2.862572 lr=0.051922 Batch [0049]/[0303]: acc-top1=37.750000 acc-top5=63.562500 Batch [0099]/[0303]: acc-top1=35.281250 acc-top5=62.984375 Batch [0149]/[0303]: acc-top1=37.083333 acc-top5=64.072917 Batch [0199]/[0303]: acc-top1=39.179688 acc-top5=65.718750 Batch [0249]/[0303]: acc-top1=38.743750 acc-top5=65.368750 Batch [0299]/[0303]: acc-top1=38.078125 acc-top5=65.338542 [Epoch 112] training: accuracy=36.833444 loss=2.862844 [Epoch 112] speed: 163 samples/sec time cost: 1589.419631 [Epoch 112] validation: acc-top1=38.056931 acc-top5=65.336221 loss=2.988159 Epoch[113] Batch [0049]/[3759] Speed: 114.383568 samples/sec accuracy=35.750000 loss=2.874066 lr=0.051907 Epoch[113] Batch [0099]/[3759] Speed: 165.436390 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lr=0.051778 Epoch[113] Batch [0599]/[3759] Speed: 163.150200 samples/sec accuracy=37.085938 loss=2.842551 lr=0.051765 Epoch[113] Batch [0649]/[3759] Speed: 165.615243 samples/sec accuracy=37.156250 loss=2.841588 lr=0.051752 Epoch[113] Batch [0699]/[3759] Speed: 162.365455 samples/sec accuracy=37.127232 loss=2.842063 lr=0.051739 Epoch[113] Batch [0749]/[3759] Speed: 165.657758 samples/sec accuracy=37.181250 loss=2.840829 lr=0.051726 Epoch[113] Batch [0799]/[3759] Speed: 162.270269 samples/sec accuracy=37.171875 loss=2.838424 lr=0.051713 Epoch[113] Batch [0849]/[3759] Speed: 164.739639 samples/sec accuracy=37.113971 loss=2.838143 lr=0.051700 Epoch[113] Batch [0899]/[3759] Speed: 164.154621 samples/sec accuracy=37.152778 loss=2.838847 lr=0.051688 Epoch[113] Batch [0949]/[3759] Speed: 163.583598 samples/sec accuracy=37.152961 loss=2.841471 lr=0.051675 Epoch[113] Batch [0999]/[3759] Speed: 166.725031 samples/sec accuracy=37.168750 loss=2.841295 lr=0.051662 Epoch[113] Batch [1049]/[3759] 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accuracy=37.180208 loss=2.840334 lr=0.051533 Epoch[113] Batch [1549]/[3759] Speed: 164.441816 samples/sec accuracy=37.185484 loss=2.840911 lr=0.051520 Epoch[113] Batch [1599]/[3759] Speed: 162.833831 samples/sec accuracy=37.144531 loss=2.841232 lr=0.051507 Epoch[113] Batch [1649]/[3759] Speed: 165.627031 samples/sec accuracy=37.109848 loss=2.843370 lr=0.051494 Epoch[113] Batch [1699]/[3759] Speed: 163.546425 samples/sec accuracy=37.125000 loss=2.842977 lr=0.051481 Epoch[113] Batch [1749]/[3759] Speed: 163.598917 samples/sec accuracy=37.117857 loss=2.843234 lr=0.051468 Epoch[113] Batch [1799]/[3759] Speed: 164.530550 samples/sec accuracy=37.107639 loss=2.844942 lr=0.051456 Epoch[113] Batch [1849]/[3759] Speed: 163.363534 samples/sec accuracy=37.125000 loss=2.844206 lr=0.051443 Epoch[113] Batch [1899]/[3759] Speed: 163.877825 samples/sec accuracy=37.106086 loss=2.846806 lr=0.051430 Epoch[113] Batch [1949]/[3759] Speed: 164.951615 samples/sec accuracy=37.100160 loss=2.846572 lr=0.051417 Epoch[113] Batch [1999]/[3759] Speed: 164.176070 samples/sec accuracy=37.101562 loss=2.847400 lr=0.051404 Epoch[113] Batch [2049]/[3759] Speed: 164.213801 samples/sec accuracy=37.139482 loss=2.846522 lr=0.051391 Epoch[113] Batch [2099]/[3759] Speed: 164.530825 samples/sec accuracy=37.140625 loss=2.847014 lr=0.051378 Epoch[113] Batch [2149]/[3759] Speed: 164.859669 samples/sec accuracy=37.130814 loss=2.846467 lr=0.051365 Epoch[113] Batch [2199]/[3759] Speed: 164.190281 samples/sec accuracy=37.116477 loss=2.847803 lr=0.051352 Epoch[113] Batch [2249]/[3759] Speed: 165.163926 samples/sec accuracy=37.133333 loss=2.846346 lr=0.051339 Epoch[113] Batch [2299]/[3759] Speed: 163.102140 samples/sec accuracy=37.133152 loss=2.846819 lr=0.051327 Epoch[113] Batch [2349]/[3759] Speed: 164.906497 samples/sec accuracy=37.121011 loss=2.847680 lr=0.051314 Epoch[113] Batch [2399]/[3759] Speed: 164.096348 samples/sec accuracy=37.128906 loss=2.848411 lr=0.051301 Epoch[113] Batch [2449]/[3759] Speed: 162.678990 samples/sec accuracy=37.144133 loss=2.848045 lr=0.051288 Epoch[113] Batch [2499]/[3759] Speed: 164.650583 samples/sec accuracy=37.156250 loss=2.847475 lr=0.051275 Epoch[113] Batch [2549]/[3759] Speed: 165.444672 samples/sec accuracy=37.145221 loss=2.848725 lr=0.051262 Epoch[113] Batch [2599]/[3759] Speed: 164.378983 samples/sec accuracy=37.144231 loss=2.849641 lr=0.051249 Epoch[113] Batch [2649]/[3759] Speed: 162.536250 samples/sec accuracy=37.172170 loss=2.848275 lr=0.051236 Epoch[113] Batch [2699]/[3759] Speed: 163.818287 samples/sec accuracy=37.152778 loss=2.849216 lr=0.051223 Epoch[113] Batch [2749]/[3759] Speed: 163.700846 samples/sec accuracy=37.130114 loss=2.850928 lr=0.051211 Epoch[113] Batch [2799]/[3759] Speed: 163.935930 samples/sec accuracy=37.151786 loss=2.849646 lr=0.051198 Epoch[113] Batch [2849]/[3759] Speed: 163.251905 samples/sec accuracy=37.148026 loss=2.849184 lr=0.051185 Epoch[113] Batch [2899]/[3759] Speed: 162.954715 samples/sec accuracy=37.148168 loss=2.848827 lr=0.051172 Epoch[113] Batch [2949]/[3759] Speed: 164.030060 samples/sec accuracy=37.136123 loss=2.849388 lr=0.051159 Epoch[113] Batch [2999]/[3759] Speed: 164.608058 samples/sec accuracy=37.150521 loss=2.849098 lr=0.051146 Epoch[113] Batch [3049]/[3759] Speed: 164.982849 samples/sec accuracy=37.142930 loss=2.848724 lr=0.051133 Epoch[113] Batch [3099]/[3759] Speed: 161.831418 samples/sec accuracy=37.118952 loss=2.849711 lr=0.051120 Epoch[113] Batch [3149]/[3759] Speed: 164.767347 samples/sec accuracy=37.131944 loss=2.849638 lr=0.051107 Epoch[113] Batch [3199]/[3759] Speed: 164.402382 samples/sec accuracy=37.139160 loss=2.850024 lr=0.051095 Epoch[113] Batch [3249]/[3759] Speed: 163.058773 samples/sec accuracy=37.128846 loss=2.850111 lr=0.051082 Epoch[113] Batch [3299]/[3759] Speed: 163.561215 samples/sec accuracy=37.142992 loss=2.849177 lr=0.051069 Epoch[113] Batch [3349]/[3759] Speed: 166.412390 samples/sec accuracy=37.137593 loss=2.848813 lr=0.051056 Epoch[113] Batch 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acc-top5=62.687500 Batch [0199]/[0303]: acc-top1=38.687500 acc-top5=64.648438 Batch [0249]/[0303]: acc-top1=38.025000 acc-top5=64.175000 Batch [0299]/[0303]: acc-top1=37.437500 acc-top5=64.041667 [Epoch 113] training: accuracy=37.073524 loss=2.853072 [Epoch 113] speed: 163 samples/sec time cost: 1588.106249 [Epoch 113] validation: acc-top1=37.365924 acc-top5=63.990305 loss=3.059036 Epoch[114] Batch [0049]/[3760] Speed: 114.149300 samples/sec accuracy=37.468750 loss=2.804323 lr=0.050937 Epoch[114] Batch [0099]/[3760] Speed: 163.402561 samples/sec accuracy=37.046875 loss=2.815092 lr=0.050925 Epoch[114] Batch [0149]/[3760] Speed: 164.826749 samples/sec accuracy=36.864583 loss=2.830872 lr=0.050912 Epoch[114] Batch [0199]/[3760] Speed: 165.585898 samples/sec accuracy=37.554688 loss=2.811002 lr=0.050899 Epoch[114] Batch [0249]/[3760] Speed: 163.293513 samples/sec accuracy=37.462500 loss=2.815618 lr=0.050886 Epoch[114] Batch [0299]/[3760] Speed: 160.459275 samples/sec accuracy=37.375000 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accuracy=37.230000 loss=2.838288 lr=0.050628 Epoch[114] Batch [1299]/[3760] Speed: 162.897220 samples/sec accuracy=37.289663 loss=2.834362 lr=0.050615 Epoch[114] Batch [1349]/[3760] Speed: 164.746571 samples/sec accuracy=37.310185 loss=2.834934 lr=0.050602 Epoch[114] Batch [1399]/[3760] Speed: 164.921727 samples/sec accuracy=37.368304 loss=2.834130 lr=0.050589 Epoch[114] Batch [1449]/[3760] Speed: 163.940379 samples/sec accuracy=37.370690 loss=2.834686 lr=0.050576 Epoch[114] Batch [1499]/[3760] Speed: 162.959585 samples/sec accuracy=37.400000 loss=2.833363 lr=0.050563 Epoch[114] Batch [1549]/[3760] Speed: 162.766062 samples/sec accuracy=37.380040 loss=2.834535 lr=0.050551 Epoch[114] Batch [1599]/[3760] Speed: 164.860473 samples/sec accuracy=37.418945 loss=2.833688 lr=0.050538 Epoch[114] Batch [1649]/[3760] Speed: 164.685531 samples/sec accuracy=37.381629 loss=2.837197 lr=0.050525 Epoch[114] Batch [1699]/[3760] Speed: 165.153905 samples/sec accuracy=37.364890 loss=2.837708 lr=0.050512 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loss=2.839145 lr=0.050267 Epoch[114] Batch [2699]/[3760] Speed: 164.109340 samples/sec accuracy=37.232639 loss=2.839594 lr=0.050254 Epoch[114] Batch [2749]/[3760] Speed: 164.007190 samples/sec accuracy=37.211932 loss=2.841129 lr=0.050241 Epoch[114] Batch [2799]/[3760] Speed: 165.213212 samples/sec accuracy=37.204799 loss=2.841058 lr=0.050228 Epoch[114] Batch [2849]/[3760] Speed: 165.361605 samples/sec accuracy=37.211623 loss=2.841578 lr=0.050215 Epoch[114] Batch [2899]/[3760] Speed: 162.381272 samples/sec accuracy=37.262392 loss=2.839664 lr=0.050202 Epoch[114] Batch [2949]/[3760] Speed: 164.475243 samples/sec accuracy=37.273305 loss=2.839439 lr=0.050189 Epoch[114] Batch [2999]/[3760] Speed: 164.231527 samples/sec accuracy=37.271354 loss=2.839647 lr=0.050177 Epoch[114] Batch [3049]/[3760] Speed: 163.584202 samples/sec accuracy=37.271516 loss=2.839786 lr=0.050164 Epoch[114] Batch [3099]/[3760] Speed: 163.817291 samples/sec accuracy=37.258569 loss=2.840326 lr=0.050151 Epoch[114] Batch 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accuracy=37.207899 loss=2.842137 lr=0.050022 Epoch[114] Batch [3649]/[3760] Speed: 163.650733 samples/sec accuracy=37.186216 loss=2.843133 lr=0.050009 Epoch[114] Batch [3699]/[3760] Speed: 165.316371 samples/sec accuracy=37.194257 loss=2.843248 lr=0.049996 Epoch[114] Batch [3749]/[3760] Speed: 175.071960 samples/sec accuracy=37.197917 loss=2.843418 lr=0.049983 Batch [0049]/[0303]: acc-top1=35.343750 acc-top5=60.625000 Batch [0099]/[0303]: acc-top1=33.484375 acc-top5=60.156250 Batch [0149]/[0303]: acc-top1=35.343750 acc-top5=61.635417 Batch [0199]/[0303]: acc-top1=38.562500 acc-top5=63.992188 Batch [0249]/[0303]: acc-top1=37.931250 acc-top5=64.031250 Batch [0299]/[0303]: acc-top1=37.807292 acc-top5=64.312500 [Epoch 114] training: accuracy=37.194980 loss=2.843422 [Epoch 114] speed: 163 samples/sec time cost: 1589.748648 [Epoch 114] validation: acc-top1=37.778465 acc-top5=64.392533 loss=2.960355 Epoch[115] Batch [0049]/[3760] Speed: 114.087129 samples/sec accuracy=38.031250 loss=2.782675 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accuracy=37.347481 loss=2.834234 lr=0.049116 Epoch[115] Batch [3399]/[3760] Speed: 165.887137 samples/sec accuracy=37.364430 loss=2.833348 lr=0.049104 Epoch[115] Batch [3449]/[3760] Speed: 163.884724 samples/sec accuracy=37.368659 loss=2.833493 lr=0.049091 Epoch[115] Batch [3499]/[3760] Speed: 165.070235 samples/sec accuracy=37.357589 loss=2.834392 lr=0.049078 Epoch[115] Batch [3549]/[3760] Speed: 162.730862 samples/sec accuracy=37.376761 loss=2.833536 lr=0.049065 Epoch[115] Batch [3599]/[3760] Speed: 162.820875 samples/sec accuracy=37.368056 loss=2.833480 lr=0.049052 Epoch[115] Batch [3649]/[3760] Speed: 164.235058 samples/sec accuracy=37.365154 loss=2.833620 lr=0.049039 Epoch[115] Batch [3699]/[3760] Speed: 164.652186 samples/sec accuracy=37.365287 loss=2.833744 lr=0.049026 Epoch[115] Batch [3749]/[3760] Speed: 175.513680 samples/sec accuracy=37.365000 loss=2.833651 lr=0.049013 Batch [0049]/[0303]: acc-top1=38.000000 acc-top5=64.125000 Batch [0099]/[0303]: acc-top1=34.093750 acc-top5=61.375000 Batch [0149]/[0303]: acc-top1=36.510417 acc-top5=62.635417 Batch [0199]/[0303]: acc-top1=39.031250 acc-top5=64.851562 Batch [0249]/[0303]: acc-top1=38.375000 acc-top5=64.575000 Batch [0299]/[0303]: acc-top1=37.875000 acc-top5=64.625000 [Epoch 115] training: accuracy=37.364112 loss=2.833459 [Epoch 115] speed: 163 samples/sec time cost: 1590.110110 [Epoch 115] validation: acc-top1=37.933168 acc-top5=64.665842 loss=2.980700 Epoch[116] Batch [0049]/[3759] Speed: 114.880329 samples/sec accuracy=38.468750 loss=2.767592 lr=0.048998 Epoch[116] Batch [0099]/[3759] Speed: 163.255701 samples/sec accuracy=37.250000 loss=2.844332 lr=0.048985 Epoch[116] Batch [0149]/[3759] Speed: 165.569426 samples/sec accuracy=37.541667 loss=2.821819 lr=0.048972 Epoch[116] Batch [0199]/[3759] Speed: 162.811837 samples/sec accuracy=37.546875 loss=2.816763 lr=0.048959 Epoch[116] Batch [0249]/[3759] Speed: 164.251441 samples/sec accuracy=37.606250 loss=2.820810 lr=0.048946 Epoch[116] Batch 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accuracy=37.656250 loss=2.822907 lr=0.048817 Epoch[116] Batch [0799]/[3759] Speed: 163.878417 samples/sec accuracy=37.765625 loss=2.818415 lr=0.048804 Epoch[116] Batch [0849]/[3759] Speed: 164.505272 samples/sec accuracy=37.786765 loss=2.819009 lr=0.048791 Epoch[116] Batch [0899]/[3759] Speed: 164.297397 samples/sec accuracy=37.817708 loss=2.819154 lr=0.048779 Epoch[116] Batch [0949]/[3759] Speed: 164.613044 samples/sec accuracy=37.799342 loss=2.820455 lr=0.048766 Epoch[116] Batch [0999]/[3759] Speed: 163.943261 samples/sec accuracy=37.740625 loss=2.820137 lr=0.048753 Epoch[116] Batch [1049]/[3759] Speed: 165.673550 samples/sec accuracy=37.742560 loss=2.819248 lr=0.048740 Epoch[116] Batch [1099]/[3759] Speed: 163.169233 samples/sec accuracy=37.801136 loss=2.818547 lr=0.048727 Epoch[116] Batch [1149]/[3759] Speed: 165.514456 samples/sec accuracy=37.853261 loss=2.815560 lr=0.048714 Epoch[116] Batch [1199]/[3759] Speed: 163.480280 samples/sec accuracy=37.859375 loss=2.814850 lr=0.048701 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loss=2.817786 lr=0.048456 Epoch[116] Batch [2199]/[3759] Speed: 164.725302 samples/sec accuracy=37.731534 loss=2.819793 lr=0.048443 Epoch[116] Batch [2249]/[3759] Speed: 165.529257 samples/sec accuracy=37.773611 loss=2.818401 lr=0.048431 Epoch[116] Batch [2299]/[3759] Speed: 163.647195 samples/sec accuracy=37.783967 loss=2.819755 lr=0.048418 Epoch[116] Batch [2349]/[3759] Speed: 165.672761 samples/sec accuracy=37.763963 loss=2.820446 lr=0.048405 Epoch[116] Batch [2399]/[3759] Speed: 161.665278 samples/sec accuracy=37.764974 loss=2.819427 lr=0.048392 Epoch[116] Batch [2449]/[3759] Speed: 163.461803 samples/sec accuracy=37.762755 loss=2.819637 lr=0.048379 Epoch[116] Batch [2499]/[3759] Speed: 164.929098 samples/sec accuracy=37.742500 loss=2.819145 lr=0.048366 Epoch[116] Batch [2549]/[3759] Speed: 164.380974 samples/sec accuracy=37.745098 loss=2.819635 lr=0.048353 Epoch[116] Batch [2599]/[3759] Speed: 163.201101 samples/sec accuracy=37.766827 loss=2.818712 lr=0.048340 Epoch[116] Batch 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accuracy=37.676915 loss=2.821478 lr=0.048211 Epoch[116] Batch [3149]/[3759] Speed: 164.917970 samples/sec accuracy=37.655258 loss=2.821415 lr=0.048198 Epoch[116] Batch [3199]/[3759] Speed: 163.969482 samples/sec accuracy=37.674805 loss=2.820075 lr=0.048186 Epoch[116] Batch [3249]/[3759] Speed: 165.849719 samples/sec accuracy=37.652404 loss=2.821682 lr=0.048173 Epoch[116] Batch [3299]/[3759] Speed: 162.934734 samples/sec accuracy=37.655303 loss=2.821578 lr=0.048160 Epoch[116] Batch [3349]/[3759] Speed: 164.324255 samples/sec accuracy=37.625933 loss=2.822606 lr=0.048147 Epoch[116] Batch [3399]/[3759] Speed: 164.271507 samples/sec accuracy=37.615349 loss=2.822766 lr=0.048134 Epoch[116] Batch [3449]/[3759] Speed: 162.432813 samples/sec accuracy=37.638134 loss=2.822377 lr=0.048121 Epoch[116] Batch [3499]/[3759] Speed: 165.261147 samples/sec accuracy=37.630804 loss=2.822521 lr=0.048108 Epoch[116] Batch [3549]/[3759] Speed: 164.889101 samples/sec accuracy=37.602553 loss=2.823093 lr=0.048095 Epoch[116] Batch [3599]/[3759] Speed: 164.153061 samples/sec accuracy=37.609375 loss=2.822359 lr=0.048082 Epoch[116] Batch [3649]/[3759] Speed: 163.806343 samples/sec accuracy=37.578767 loss=2.823422 lr=0.048070 Epoch[116] Batch [3699]/[3759] Speed: 164.502863 samples/sec accuracy=37.580659 loss=2.823457 lr=0.048057 Epoch[116] Batch [3749]/[3759] Speed: 177.035975 samples/sec accuracy=37.586250 loss=2.822827 lr=0.048044 Batch [0049]/[0303]: acc-top1=37.656250 acc-top5=62.812500 Batch [0099]/[0303]: acc-top1=35.390625 acc-top5=63.046875 Batch [0149]/[0303]: acc-top1=36.447917 acc-top5=64.062500 Batch [0199]/[0303]: acc-top1=38.882812 acc-top5=65.617188 Batch [0249]/[0303]: acc-top1=38.568750 acc-top5=65.706250 Batch [0299]/[0303]: acc-top1=38.125000 acc-top5=65.848958 [Epoch 116] training: accuracy=37.584796 loss=2.823002 [Epoch 116] speed: 163 samples/sec time cost: 1586.474845 [Epoch 116] validation: acc-top1=38.129125 acc-top5=65.882838 loss=2.930959 Epoch[117] Batch [0049]/[3760] 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accuracy=38.100000 loss=2.801394 lr=0.047913 Epoch[117] Batch [0549]/[3760] Speed: 163.527196 samples/sec accuracy=38.059659 loss=2.801763 lr=0.047900 Epoch[117] Batch [0599]/[3760] Speed: 164.956544 samples/sec accuracy=38.078125 loss=2.803242 lr=0.047887 Epoch[117] Batch [0649]/[3760] Speed: 161.517784 samples/sec accuracy=38.127404 loss=2.799297 lr=0.047874 Epoch[117] Batch [0699]/[3760] Speed: 164.596499 samples/sec accuracy=38.203125 loss=2.797465 lr=0.047861 Epoch[117] Batch [0749]/[3760] Speed: 164.178550 samples/sec accuracy=38.225000 loss=2.797228 lr=0.047848 Epoch[117] Batch [0799]/[3760] Speed: 164.231242 samples/sec accuracy=38.271484 loss=2.795294 lr=0.047835 Epoch[117] Batch [0849]/[3760] Speed: 162.255533 samples/sec accuracy=38.303309 loss=2.794979 lr=0.047822 Epoch[117] Batch [0899]/[3760] Speed: 163.235749 samples/sec accuracy=38.300347 loss=2.794168 lr=0.047810 Epoch[117] Batch [0949]/[3760] Speed: 163.760215 samples/sec accuracy=38.268092 loss=2.798098 lr=0.047797 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accuracy=38.009320 loss=2.805186 lr=0.047307 Epoch[117] Batch [2899]/[3760] Speed: 163.600712 samples/sec accuracy=38.009159 loss=2.804584 lr=0.047294 Epoch[117] Batch [2949]/[3760] Speed: 163.886205 samples/sec accuracy=38.005826 loss=2.804820 lr=0.047281 Epoch[117] Batch [2999]/[3760] Speed: 163.069209 samples/sec accuracy=38.011458 loss=2.804322 lr=0.047269 Epoch[117] Batch [3049]/[3760] Speed: 165.064207 samples/sec accuracy=38.024590 loss=2.803332 lr=0.047256 Epoch[117] Batch [3099]/[3760] Speed: 163.938309 samples/sec accuracy=38.019153 loss=2.803521 lr=0.047243 Epoch[117] Batch [3149]/[3760] Speed: 164.358965 samples/sec accuracy=38.010417 loss=2.804548 lr=0.047230 Epoch[117] Batch [3199]/[3760] Speed: 159.736903 samples/sec accuracy=38.009766 loss=2.803906 lr=0.047217 Epoch[117] Batch [3249]/[3760] Speed: 165.774574 samples/sec accuracy=38.028846 loss=2.803335 lr=0.047204 Epoch[117] Batch [3299]/[3760] Speed: 163.589727 samples/sec accuracy=38.025095 loss=2.803426 lr=0.047191 Epoch[117] Batch [3349]/[3760] Speed: 163.198912 samples/sec accuracy=38.024254 loss=2.803567 lr=0.047178 Epoch[117] Batch [3399]/[3760] Speed: 164.649486 samples/sec accuracy=38.017923 loss=2.804021 lr=0.047166 Epoch[117] Batch [3449]/[3760] Speed: 163.900420 samples/sec accuracy=37.977355 loss=2.804883 lr=0.047153 Epoch[117] Batch [3499]/[3760] Speed: 165.292268 samples/sec accuracy=37.992411 loss=2.804352 lr=0.047140 Epoch[117] Batch [3549]/[3760] Speed: 164.247421 samples/sec accuracy=37.958627 loss=2.805699 lr=0.047127 Epoch[117] Batch [3599]/[3760] Speed: 164.396059 samples/sec accuracy=37.927517 loss=2.806618 lr=0.047114 Epoch[117] Batch [3649]/[3760] Speed: 164.989328 samples/sec accuracy=37.904966 loss=2.807032 lr=0.047101 Epoch[117] Batch [3699]/[3760] Speed: 163.413314 samples/sec accuracy=37.886824 loss=2.808234 lr=0.047088 Epoch[117] Batch [3749]/[3760] Speed: 176.237386 samples/sec accuracy=37.910833 loss=2.808218 lr=0.047075 Batch [0049]/[0303]: acc-top1=39.625000 acc-top5=64.625000 Batch [0099]/[0303]: acc-top1=36.562500 acc-top5=63.093750 Batch [0149]/[0303]: acc-top1=38.052083 acc-top5=64.604167 Batch [0199]/[0303]: acc-top1=40.437500 acc-top5=66.562500 Batch [0249]/[0303]: acc-top1=39.443750 acc-top5=66.031250 Batch [0299]/[0303]: acc-top1=39.057292 acc-top5=65.937500 [Epoch 117] training: accuracy=37.906416 loss=2.808207 [Epoch 117] speed: 163 samples/sec time cost: 1589.328168 [Epoch 117] validation: acc-top1=39.052186 acc-top5=65.939563 loss=2.965352 Epoch[118] Batch [0049]/[3760] Speed: 115.147804 samples/sec accuracy=39.031250 loss=2.742197 lr=0.047060 Epoch[118] Batch [0099]/[3760] Speed: 163.223250 samples/sec accuracy=38.234375 loss=2.756419 lr=0.047047 Epoch[118] Batch [0149]/[3760] Speed: 162.562074 samples/sec accuracy=38.510417 loss=2.751937 lr=0.047034 Epoch[118] Batch [0199]/[3760] Speed: 165.160742 samples/sec accuracy=38.046875 loss=2.774127 lr=0.047021 Epoch[118] Batch [0249]/[3760] Speed: 163.769784 samples/sec accuracy=38.306250 loss=2.763981 lr=0.047008 Epoch[118] Batch [0299]/[3760] Speed: 163.221132 samples/sec accuracy=38.203125 loss=2.765601 lr=0.046996 Epoch[118] Batch [0349]/[3760] Speed: 163.827195 samples/sec accuracy=38.388393 loss=2.759579 lr=0.046983 Epoch[118] Batch [0399]/[3760] Speed: 164.184581 samples/sec accuracy=38.378906 loss=2.763881 lr=0.046970 Epoch[118] Batch [0449]/[3760] Speed: 164.956199 samples/sec accuracy=38.302083 loss=2.768969 lr=0.046957 Epoch[118] Batch [0499]/[3760] Speed: 162.732829 samples/sec accuracy=38.218750 loss=2.775596 lr=0.046944 Epoch[118] Batch [0549]/[3760] Speed: 164.470932 samples/sec accuracy=38.403409 loss=2.772664 lr=0.046931 Epoch[118] Batch [0599]/[3760] Speed: 162.878403 samples/sec accuracy=38.309896 loss=2.774428 lr=0.046918 Epoch[118] Batch [0649]/[3760] Speed: 161.896558 samples/sec accuracy=38.372596 loss=2.772554 lr=0.046905 Epoch[118] Batch [0699]/[3760] Speed: 164.501198 samples/sec accuracy=38.176339 loss=2.780437 lr=0.046893 Epoch[118] Batch [0749]/[3760] Speed: 163.541453 samples/sec accuracy=38.127083 loss=2.782799 lr=0.046880 Epoch[118] Batch [0799]/[3760] Speed: 164.606703 samples/sec accuracy=38.054688 loss=2.785177 lr=0.046867 Epoch[118] Batch [0849]/[3760] Speed: 164.914059 samples/sec accuracy=38.143382 loss=2.780782 lr=0.046854 Epoch[118] Batch [0899]/[3760] Speed: 164.790944 samples/sec accuracy=38.111111 loss=2.782891 lr=0.046841 Epoch[118] Batch [0949]/[3760] Speed: 164.642699 samples/sec accuracy=38.098684 loss=2.784001 lr=0.046828 Epoch[118] Batch [0999]/[3760] Speed: 163.725574 samples/sec accuracy=38.192188 loss=2.780591 lr=0.046815 Epoch[118] Batch [1049]/[3760] Speed: 163.148172 samples/sec accuracy=38.232143 loss=2.779745 lr=0.046802 Epoch[118] Batch [1099]/[3760] Speed: 164.330138 samples/sec accuracy=38.181818 loss=2.782784 lr=0.046790 Epoch[118] Batch [1149]/[3760] Speed: 163.583841 samples/sec accuracy=38.209239 loss=2.784754 lr=0.046777 Epoch[118] Batch [1199]/[3760] Speed: 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loss=2.792094 lr=0.046648 Epoch[118] Batch [1699]/[3760] Speed: 164.064425 samples/sec accuracy=38.118566 loss=2.793324 lr=0.046635 Epoch[118] Batch [1749]/[3760] Speed: 164.541747 samples/sec accuracy=38.091071 loss=2.793623 lr=0.046622 Epoch[118] Batch [1799]/[3760] Speed: 164.108812 samples/sec accuracy=38.054688 loss=2.794958 lr=0.046609 Epoch[118] Batch [1849]/[3760] Speed: 164.290147 samples/sec accuracy=38.029561 loss=2.796313 lr=0.046597 Epoch[118] Batch [1899]/[3760] Speed: 163.885018 samples/sec accuracy=38.039474 loss=2.797213 lr=0.046584 Epoch[118] Batch [1949]/[3760] Speed: 164.421819 samples/sec accuracy=38.060096 loss=2.797036 lr=0.046571 Epoch[118] Batch [1999]/[3760] Speed: 164.397954 samples/sec accuracy=38.056250 loss=2.796850 lr=0.046558 Epoch[118] Batch [2049]/[3760] Speed: 163.503246 samples/sec accuracy=38.090701 loss=2.795793 lr=0.046545 Epoch[118] Batch [2099]/[3760] Speed: 163.524407 samples/sec accuracy=38.100446 loss=2.795408 lr=0.046532 Epoch[118] Batch 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accuracy=38.123798 loss=2.795894 lr=0.046404 Epoch[118] Batch [2649]/[3760] Speed: 164.833616 samples/sec accuracy=38.106722 loss=2.797229 lr=0.046391 Epoch[118] Batch [2699]/[3760] Speed: 163.420781 samples/sec accuracy=38.109375 loss=2.796463 lr=0.046378 Epoch[118] Batch [2749]/[3760] Speed: 165.084102 samples/sec accuracy=38.085795 loss=2.797663 lr=0.046365 Epoch[118] Batch [2799]/[3760] Speed: 166.064786 samples/sec accuracy=38.078125 loss=2.797849 lr=0.046352 Epoch[118] Batch [2849]/[3760] Speed: 162.639111 samples/sec accuracy=38.094846 loss=2.797200 lr=0.046339 Epoch[118] Batch [2899]/[3760] Speed: 164.444148 samples/sec accuracy=38.083513 loss=2.797119 lr=0.046326 Epoch[118] Batch [2949]/[3760] Speed: 164.215575 samples/sec accuracy=38.063030 loss=2.797737 lr=0.046314 Epoch[118] Batch [2999]/[3760] Speed: 165.126434 samples/sec accuracy=38.062500 loss=2.798354 lr=0.046301 Epoch[118] Batch [3049]/[3760] Speed: 165.740990 samples/sec accuracy=38.060451 loss=2.797750 lr=0.046288 Epoch[118] Batch [3099]/[3760] Speed: 162.410036 samples/sec accuracy=38.080645 loss=2.796889 lr=0.046275 Epoch[118] Batch [3149]/[3760] Speed: 167.390311 samples/sec accuracy=38.078869 loss=2.796946 lr=0.046262 Epoch[118] Batch [3199]/[3760] Speed: 162.315544 samples/sec accuracy=38.050293 loss=2.797815 lr=0.046249 Epoch[118] Batch [3249]/[3760] Speed: 165.044218 samples/sec accuracy=38.026923 loss=2.798617 lr=0.046236 Epoch[118] Batch [3299]/[3760] Speed: 162.829718 samples/sec accuracy=38.007576 loss=2.799848 lr=0.046223 Epoch[118] Batch [3349]/[3760] Speed: 166.096004 samples/sec accuracy=38.018657 loss=2.799232 lr=0.046211 Epoch[118] Batch [3399]/[3760] Speed: 164.816309 samples/sec accuracy=38.021599 loss=2.798822 lr=0.046198 Epoch[118] Batch [3449]/[3760] Speed: 163.656893 samples/sec accuracy=37.996377 loss=2.799758 lr=0.046185 Epoch[118] Batch [3499]/[3760] Speed: 158.062503 samples/sec accuracy=37.978571 loss=2.800425 lr=0.046172 Epoch[118] Batch [3549]/[3760] Speed: 167.579598 samples/sec accuracy=37.965229 loss=2.800742 lr=0.046159 Epoch[118] Batch [3599]/[3760] Speed: 164.284066 samples/sec accuracy=37.969618 loss=2.800682 lr=0.046146 Epoch[118] Batch [3649]/[3760] Speed: 163.745830 samples/sec accuracy=37.995719 loss=2.799505 lr=0.046133 Epoch[118] Batch [3699]/[3760] Speed: 163.955449 samples/sec accuracy=37.979730 loss=2.800235 lr=0.046121 Epoch[118] Batch [3749]/[3760] Speed: 175.227256 samples/sec accuracy=37.982083 loss=2.800688 lr=0.046108 Batch [0049]/[0303]: acc-top1=39.562500 acc-top5=64.906250 Batch [0099]/[0303]: acc-top1=36.578125 acc-top5=62.796875 Batch [0149]/[0303]: acc-top1=37.791667 acc-top5=63.729167 Batch [0199]/[0303]: acc-top1=40.335938 acc-top5=65.992188 Batch [0249]/[0303]: acc-top1=39.425000 acc-top5=65.925000 Batch [0299]/[0303]: acc-top1=38.765625 acc-top5=65.963542 [Epoch 118] training: accuracy=37.985788 loss=2.800531 [Epoch 118] speed: 163 samples/sec time cost: 1587.796489 [Epoch 118] validation: acc-top1=38.778878 acc-top5=65.991130 loss=2.889417 Epoch[119] Batch [0049]/[3759] Speed: 115.808289 samples/sec accuracy=39.656250 loss=2.757294 lr=0.046092 Epoch[119] Batch [0099]/[3759] Speed: 163.141737 samples/sec accuracy=39.671875 loss=2.768700 lr=0.046079 Epoch[119] Batch [0149]/[3759] Speed: 164.463123 samples/sec accuracy=39.010417 loss=2.764338 lr=0.046067 Epoch[119] Batch [0199]/[3759] Speed: 164.262165 samples/sec accuracy=39.109375 loss=2.763993 lr=0.046054 Epoch[119] Batch [0249]/[3759] Speed: 165.050569 samples/sec accuracy=39.050000 loss=2.763007 lr=0.046041 Epoch[119] Batch [0299]/[3759] Speed: 163.301482 samples/sec accuracy=39.135417 loss=2.759127 lr=0.046028 Epoch[119] Batch [0349]/[3759] Speed: 164.377033 samples/sec accuracy=39.049107 loss=2.752362 lr=0.046015 Epoch[119] Batch [0399]/[3759] Speed: 165.282125 samples/sec accuracy=38.968750 loss=2.755599 lr=0.046002 Epoch[119] Batch [0449]/[3759] Speed: 163.236301 samples/sec accuracy=38.916667 loss=2.755786 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accuracy=38.477679 loss=2.773674 lr=0.045745 Epoch[119] Batch [1449]/[3759] Speed: 163.468094 samples/sec accuracy=38.443966 loss=2.774714 lr=0.045732 Epoch[119] Batch [1499]/[3759] Speed: 163.933545 samples/sec accuracy=38.431250 loss=2.774155 lr=0.045720 Epoch[119] Batch [1549]/[3759] Speed: 163.812099 samples/sec accuracy=38.386089 loss=2.776958 lr=0.045707 Epoch[119] Batch [1599]/[3759] Speed: 163.886761 samples/sec accuracy=38.381836 loss=2.776322 lr=0.045694 Epoch[119] Batch [1649]/[3759] Speed: 161.722675 samples/sec accuracy=38.395833 loss=2.775495 lr=0.045681 Epoch[119] Batch [1699]/[3759] Speed: 164.920927 samples/sec accuracy=38.386949 loss=2.775203 lr=0.045668 Epoch[119] Batch [1749]/[3759] Speed: 163.361044 samples/sec accuracy=38.405357 loss=2.774824 lr=0.045655 Epoch[119] Batch [1799]/[3759] Speed: 163.376042 samples/sec accuracy=38.419271 loss=2.774571 lr=0.045642 Epoch[119] Batch [1849]/[3759] Speed: 164.577473 samples/sec accuracy=38.436655 loss=2.774115 lr=0.045630 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accuracy=38.218333 loss=2.785783 lr=0.045142 Batch [0049]/[0303]: acc-top1=40.375000 acc-top5=65.968750 Batch [0099]/[0303]: acc-top1=37.312500 acc-top5=64.296875 Batch [0149]/[0303]: acc-top1=39.385417 acc-top5=65.656250 Batch [0199]/[0303]: acc-top1=42.148438 acc-top5=67.523438 Batch [0249]/[0303]: acc-top1=41.150000 acc-top5=67.375000 Batch [0299]/[0303]: acc-top1=40.468750 acc-top5=67.229167 [Epoch 119] training: accuracy=38.224927 loss=2.785593 [Epoch 119] speed: 163 samples/sec time cost: 1585.855704 [Epoch 119] validation: acc-top1=40.351691 acc-top5=67.156559 loss=2.789081 Epoch[120] Batch [0049]/[3760] Speed: 113.646498 samples/sec accuracy=39.343750 loss=2.706914 lr=0.045126 Epoch[120] Batch [0099]/[3760] Speed: 163.528619 samples/sec accuracy=38.703125 loss=2.756563 lr=0.045114 Epoch[120] Batch [0149]/[3760] Speed: 163.447166 samples/sec accuracy=39.062500 loss=2.745238 lr=0.045101 Epoch[120] Batch [0199]/[3760] Speed: 164.507180 samples/sec accuracy=38.671875 loss=2.756535 lr=0.045088 Epoch[120] Batch [0249]/[3760] Speed: 165.030794 samples/sec accuracy=38.625000 loss=2.765254 lr=0.045075 Epoch[120] Batch [0299]/[3760] Speed: 164.790419 samples/sec accuracy=38.911458 loss=2.756393 lr=0.045062 Epoch[120] Batch [0349]/[3760] Speed: 163.548866 samples/sec accuracy=39.013393 loss=2.754978 lr=0.045049 Epoch[120] Batch [0399]/[3760] Speed: 165.301027 samples/sec accuracy=39.074219 loss=2.751732 lr=0.045037 Epoch[120] Batch [0449]/[3760] Speed: 163.137846 samples/sec accuracy=38.996528 loss=2.753042 lr=0.045024 Epoch[120] Batch [0499]/[3760] Speed: 161.944801 samples/sec accuracy=39.096875 loss=2.746719 lr=0.045011 Epoch[120] Batch [0549]/[3760] Speed: 162.758779 samples/sec accuracy=38.985795 loss=2.749693 lr=0.044998 Epoch[120] Batch [0599]/[3760] Speed: 164.589241 samples/sec accuracy=38.888021 loss=2.752335 lr=0.044985 Epoch[120] Batch [0649]/[3760] Speed: 164.940045 samples/sec accuracy=38.961538 loss=2.749475 lr=0.044972 Epoch[120] Batch [0699]/[3760] 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accuracy=38.782609 loss=2.759792 lr=0.044844 Epoch[120] Batch [1199]/[3760] Speed: 162.234828 samples/sec accuracy=38.792969 loss=2.760216 lr=0.044831 Epoch[120] Batch [1249]/[3760] Speed: 165.354426 samples/sec accuracy=38.818750 loss=2.760349 lr=0.044818 Epoch[120] Batch [1299]/[3760] Speed: 162.463888 samples/sec accuracy=38.829327 loss=2.760515 lr=0.044806 Epoch[120] Batch [1349]/[3760] Speed: 164.766312 samples/sec accuracy=38.802083 loss=2.762208 lr=0.044793 Epoch[120] Batch [1399]/[3760] Speed: 165.129496 samples/sec accuracy=38.815848 loss=2.761766 lr=0.044780 Epoch[120] Batch [1449]/[3760] Speed: 164.678619 samples/sec accuracy=38.826509 loss=2.763138 lr=0.044767 Epoch[120] Batch [1499]/[3760] Speed: 164.089321 samples/sec accuracy=38.856250 loss=2.762515 lr=0.044754 Epoch[120] Batch [1549]/[3760] Speed: 159.510357 samples/sec accuracy=38.803427 loss=2.763299 lr=0.044742 Epoch[120] Batch [1599]/[3760] Speed: 165.969441 samples/sec accuracy=38.828125 loss=2.762167 lr=0.044729 Epoch[120] Batch [1649]/[3760] Speed: 162.763206 samples/sec accuracy=38.817235 loss=2.763257 lr=0.044716 Epoch[120] Batch [1699]/[3760] Speed: 163.730232 samples/sec accuracy=38.774816 loss=2.765571 lr=0.044703 Epoch[120] Batch [1749]/[3760] Speed: 161.949381 samples/sec accuracy=38.741071 loss=2.767326 lr=0.044690 Epoch[120] Batch [1799]/[3760] Speed: 164.199913 samples/sec accuracy=38.742188 loss=2.767771 lr=0.044677 Epoch[120] Batch [1849]/[3760] Speed: 163.658767 samples/sec accuracy=38.755068 loss=2.767248 lr=0.044665 Epoch[120] Batch [1899]/[3760] Speed: 164.090183 samples/sec accuracy=38.763980 loss=2.767373 lr=0.044652 Epoch[120] Batch [1949]/[3760] Speed: 163.912682 samples/sec accuracy=38.726763 loss=2.769351 lr=0.044639 Epoch[120] Batch [1999]/[3760] Speed: 164.162453 samples/sec accuracy=38.735156 loss=2.769125 lr=0.044626 Epoch[120] Batch [2049]/[3760] Speed: 165.238193 samples/sec accuracy=38.754573 loss=2.769082 lr=0.044613 Epoch[120] Batch [2099]/[3760] Speed: 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loss=2.776303 lr=0.044485 Epoch[120] Batch [2599]/[3760] Speed: 162.902230 samples/sec accuracy=38.510216 loss=2.777155 lr=0.044472 Epoch[120] Batch [2649]/[3760] Speed: 164.783642 samples/sec accuracy=38.531840 loss=2.777086 lr=0.044459 Epoch[120] Batch [2699]/[3760] Speed: 163.317595 samples/sec accuracy=38.545139 loss=2.777072 lr=0.044447 Epoch[120] Batch [2749]/[3760] Speed: 164.161206 samples/sec accuracy=38.556250 loss=2.776743 lr=0.044434 Epoch[120] Batch [2799]/[3760] Speed: 162.839667 samples/sec accuracy=38.565290 loss=2.775939 lr=0.044421 Epoch[120] Batch [2849]/[3760] Speed: 164.402329 samples/sec accuracy=38.564145 loss=2.776342 lr=0.044408 Epoch[120] Batch [2899]/[3760] Speed: 164.381021 samples/sec accuracy=38.575970 loss=2.775432 lr=0.044395 Epoch[120] Batch [2949]/[3760] Speed: 163.685097 samples/sec accuracy=38.556674 loss=2.774466 lr=0.044383 Epoch[120] Batch [2999]/[3760] Speed: 164.887594 samples/sec accuracy=38.580729 loss=2.773750 lr=0.044370 Epoch[120] Batch [3049]/[3760] Speed: 163.284138 samples/sec accuracy=38.588627 loss=2.773929 lr=0.044357 Epoch[120] Batch [3099]/[3760] Speed: 163.477647 samples/sec accuracy=38.588206 loss=2.774434 lr=0.044344 Epoch[120] Batch [3149]/[3760] Speed: 164.454970 samples/sec accuracy=38.581349 loss=2.774772 lr=0.044331 Epoch[120] Batch [3199]/[3760] Speed: 163.211244 samples/sec accuracy=38.623535 loss=2.773597 lr=0.044318 Epoch[120] Batch [3249]/[3760] Speed: 163.844386 samples/sec accuracy=38.628846 loss=2.773184 lr=0.044306 Epoch[120] Batch [3299]/[3760] Speed: 165.849350 samples/sec accuracy=38.630208 loss=2.773393 lr=0.044293 Epoch[120] Batch [3349]/[3760] Speed: 163.207134 samples/sec accuracy=38.627332 loss=2.773319 lr=0.044280 Epoch[120] Batch [3399]/[3760] Speed: 165.277674 samples/sec accuracy=38.613971 loss=2.774020 lr=0.044267 Epoch[120] Batch [3449]/[3760] Speed: 163.719107 samples/sec accuracy=38.591033 loss=2.775194 lr=0.044254 Epoch[120] Batch [3499]/[3760] Speed: 166.494566 samples/sec accuracy=38.593304 loss=2.775391 lr=0.044242 Epoch[120] Batch [3549]/[3760] Speed: 163.467439 samples/sec accuracy=38.594190 loss=2.775793 lr=0.044229 Epoch[120] Batch [3599]/[3760] Speed: 164.137381 samples/sec accuracy=38.575955 loss=2.776060 lr=0.044216 Epoch[120] Batch [3649]/[3760] Speed: 165.434643 samples/sec accuracy=38.587329 loss=2.775971 lr=0.044203 Epoch[120] Batch [3699]/[3760] Speed: 163.361177 samples/sec accuracy=38.584037 loss=2.775622 lr=0.044190 Epoch[120] Batch [3749]/[3760] Speed: 175.638648 samples/sec accuracy=38.576250 loss=2.776084 lr=0.044178 Batch [0049]/[0303]: acc-top1=39.687500 acc-top5=65.718750 Batch [0099]/[0303]: acc-top1=36.484375 acc-top5=64.171875 Batch [0149]/[0303]: acc-top1=38.822917 acc-top5=65.375000 Batch [0199]/[0303]: acc-top1=41.148438 acc-top5=66.867188 Batch [0249]/[0303]: acc-top1=40.487500 acc-top5=66.443750 Batch [0299]/[0303]: acc-top1=40.145833 acc-top5=66.385417 [Epoch 120] training: accuracy=38.579621 loss=2.775877 [Epoch 120] speed: 163 samples/sec time cost: 1588.314823 [Epoch 120] validation: acc-top1=40.109323 acc-top5=66.383045 loss=2.938723 Epoch[121] Batch [0049]/[3760] Speed: 116.611688 samples/sec accuracy=39.281250 loss=2.746799 lr=0.044162 Epoch[121] Batch [0099]/[3760] Speed: 165.350613 samples/sec accuracy=39.406250 loss=2.709819 lr=0.044149 Epoch[121] Batch [0149]/[3760] Speed: 163.156392 samples/sec accuracy=39.708333 loss=2.707850 lr=0.044137 Epoch[121] Batch [0199]/[3760] Speed: 162.603284 samples/sec accuracy=39.359375 loss=2.729824 lr=0.044124 Epoch[121] Batch [0249]/[3760] Speed: 163.876860 samples/sec accuracy=39.243750 loss=2.728470 lr=0.044111 Epoch[121] Batch [0299]/[3760] Speed: 163.748483 samples/sec accuracy=39.369792 loss=2.717850 lr=0.044098 Epoch[121] Batch [0349]/[3760] Speed: 164.998733 samples/sec accuracy=39.433036 loss=2.723067 lr=0.044085 Epoch[121] Batch [0399]/[3760] Speed: 165.591422 samples/sec accuracy=39.414062 loss=2.720528 lr=0.044073 Epoch[121] Batch [0449]/[3760] 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accuracy=39.131944 loss=2.734339 lr=0.043944 Epoch[121] Batch [0949]/[3760] Speed: 164.301424 samples/sec accuracy=39.003289 loss=2.741499 lr=0.043932 Epoch[121] Batch [0999]/[3760] Speed: 163.620034 samples/sec accuracy=39.021875 loss=2.741126 lr=0.043919 Epoch[121] Batch [1049]/[3760] Speed: 164.933249 samples/sec accuracy=38.994048 loss=2.741909 lr=0.043906 Epoch[121] Batch [1099]/[3760] Speed: 164.018218 samples/sec accuracy=38.934659 loss=2.745008 lr=0.043893 Epoch[121] Batch [1149]/[3760] Speed: 165.290438 samples/sec accuracy=38.948370 loss=2.746307 lr=0.043880 Epoch[121] Batch [1199]/[3760] Speed: 162.769139 samples/sec accuracy=38.967448 loss=2.748649 lr=0.043868 Epoch[121] Batch [1249]/[3760] Speed: 164.959704 samples/sec accuracy=38.971250 loss=2.748549 lr=0.043855 Epoch[121] Batch [1299]/[3760] Speed: 166.360524 samples/sec accuracy=38.924279 loss=2.749145 lr=0.043842 Epoch[121] Batch [1349]/[3760] Speed: 163.053959 samples/sec accuracy=38.888889 loss=2.750175 lr=0.043829 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Epoch[121] Batch [3749]/[3760] Speed: 176.106370 samples/sec accuracy=38.701667 loss=2.762732 lr=0.043215 Batch [0049]/[0303]: acc-top1=38.062500 acc-top5=62.656250 Batch [0099]/[0303]: acc-top1=36.984375 acc-top5=62.796875 Batch [0149]/[0303]: acc-top1=38.562500 acc-top5=64.447917 Batch [0199]/[0303]: acc-top1=40.789062 acc-top5=66.671875 Batch [0249]/[0303]: acc-top1=40.256250 acc-top5=66.537500 Batch [0299]/[0303]: acc-top1=39.604167 acc-top5=66.270833 [Epoch 121] training: accuracy=38.700549 loss=2.762711 [Epoch 121] speed: 163 samples/sec time cost: 1587.003937 [Epoch 121] validation: acc-top1=39.593647 acc-top5=66.212871 loss=2.937272 Epoch[122] Batch [0049]/[3759] Speed: 115.814559 samples/sec accuracy=39.406250 loss=2.747707 lr=0.043200 Epoch[122] Batch [0099]/[3759] Speed: 165.609415 samples/sec accuracy=40.187500 loss=2.730334 lr=0.043187 Epoch[122] Batch [0149]/[3759] Speed: 163.625996 samples/sec accuracy=40.041667 loss=2.730706 lr=0.043175 Epoch[122] Batch [0199]/[3759] 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accuracy=39.396635 loss=2.719818 lr=0.043047 Epoch[122] Batch [0699]/[3759] Speed: 165.276241 samples/sec accuracy=39.430804 loss=2.719906 lr=0.043034 Epoch[122] Batch [0749]/[3759] Speed: 163.282263 samples/sec accuracy=39.385417 loss=2.722959 lr=0.043021 Epoch[122] Batch [0799]/[3759] Speed: 163.197484 samples/sec accuracy=39.408203 loss=2.722593 lr=0.043008 Epoch[122] Batch [0849]/[3759] Speed: 165.349195 samples/sec accuracy=39.419118 loss=2.721453 lr=0.042996 Epoch[122] Batch [0899]/[3759] Speed: 163.575312 samples/sec accuracy=39.359375 loss=2.722554 lr=0.042983 Epoch[122] Batch [0949]/[3759] Speed: 164.148636 samples/sec accuracy=39.322368 loss=2.722355 lr=0.042970 Epoch[122] Batch [0999]/[3759] Speed: 163.979282 samples/sec accuracy=39.287500 loss=2.723371 lr=0.042957 Epoch[122] Batch [1049]/[3759] Speed: 162.703719 samples/sec accuracy=39.275298 loss=2.726849 lr=0.042945 Epoch[122] Batch [1099]/[3759] Speed: 162.624111 samples/sec accuracy=39.275568 loss=2.727895 lr=0.042932 Epoch[122] Batch [1149]/[3759] Speed: 163.698121 samples/sec accuracy=39.292120 loss=2.729379 lr=0.042919 Epoch[122] Batch [1199]/[3759] Speed: 165.135609 samples/sec accuracy=39.230469 loss=2.731112 lr=0.042906 Epoch[122] Batch [1249]/[3759] Speed: 164.888309 samples/sec accuracy=39.235000 loss=2.730205 lr=0.042894 Epoch[122] Batch [1299]/[3759] Speed: 163.327707 samples/sec accuracy=39.253606 loss=2.731172 lr=0.042881 Epoch[122] Batch [1349]/[3759] Speed: 165.013538 samples/sec accuracy=39.203704 loss=2.732362 lr=0.042868 Epoch[122] Batch [1399]/[3759] Speed: 165.801221 samples/sec accuracy=39.130580 loss=2.734612 lr=0.042855 Epoch[122] Batch [1449]/[3759] Speed: 162.669159 samples/sec accuracy=39.157328 loss=2.735516 lr=0.042842 Epoch[122] Batch [1499]/[3759] Speed: 165.618924 samples/sec accuracy=39.166667 loss=2.734198 lr=0.042830 Epoch[122] Batch [1549]/[3759] Speed: 165.300075 samples/sec accuracy=39.137097 loss=2.735289 lr=0.042817 Epoch[122] Batch [1599]/[3759] Speed: 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loss=2.739781 lr=0.042689 Epoch[122] Batch [2099]/[3759] Speed: 163.936921 samples/sec accuracy=39.188244 loss=2.738482 lr=0.042677 Epoch[122] Batch [2149]/[3759] Speed: 165.355673 samples/sec accuracy=39.199855 loss=2.737153 lr=0.042664 Epoch[122] Batch [2199]/[3759] Speed: 163.973859 samples/sec accuracy=39.182528 loss=2.738069 lr=0.042651 Epoch[122] Batch [2249]/[3759] Speed: 162.363921 samples/sec accuracy=39.197917 loss=2.738005 lr=0.042638 Epoch[122] Batch [2299]/[3759] Speed: 165.196047 samples/sec accuracy=39.172554 loss=2.738021 lr=0.042626 Epoch[122] Batch [2349]/[3759] Speed: 163.430134 samples/sec accuracy=39.170213 loss=2.738251 lr=0.042613 Epoch[122] Batch [2399]/[3759] Speed: 165.170384 samples/sec accuracy=39.178385 loss=2.738518 lr=0.042600 Epoch[122] Batch [2449]/[3759] Speed: 165.274564 samples/sec accuracy=39.205357 loss=2.738406 lr=0.042587 Epoch[122] Batch [2499]/[3759] Speed: 164.102837 samples/sec accuracy=39.163125 loss=2.740687 lr=0.042575 Epoch[122] Batch 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accuracy=39.077083 loss=2.747813 lr=0.042447 Epoch[122] Batch [3049]/[3759] Speed: 163.262525 samples/sec accuracy=39.085553 loss=2.748019 lr=0.042434 Epoch[122] Batch [3099]/[3759] Speed: 163.175452 samples/sec accuracy=39.065524 loss=2.749018 lr=0.042422 Epoch[122] Batch [3149]/[3759] Speed: 163.695026 samples/sec accuracy=39.038194 loss=2.750458 lr=0.042409 Epoch[122] Batch [3199]/[3759] Speed: 164.567482 samples/sec accuracy=39.060059 loss=2.749994 lr=0.042396 Epoch[122] Batch [3249]/[3759] Speed: 164.740977 samples/sec accuracy=39.064423 loss=2.749700 lr=0.042383 Epoch[122] Batch [3299]/[3759] Speed: 162.850364 samples/sec accuracy=39.034564 loss=2.751330 lr=0.042371 Epoch[122] Batch [3349]/[3759] Speed: 163.310421 samples/sec accuracy=39.027519 loss=2.751150 lr=0.042358 Epoch[122] Batch [3399]/[3759] Speed: 165.321645 samples/sec accuracy=39.017923 loss=2.751159 lr=0.042345 Epoch[122] Batch [3449]/[3759] Speed: 161.950552 samples/sec accuracy=39.012228 loss=2.751012 lr=0.042332 Epoch[122] Batch [3499]/[3759] Speed: 163.029307 samples/sec accuracy=39.021429 loss=2.751017 lr=0.042320 Epoch[122] Batch [3549]/[3759] Speed: 164.689223 samples/sec accuracy=39.019366 loss=2.751247 lr=0.042307 Epoch[122] Batch [3599]/[3759] Speed: 160.731869 samples/sec accuracy=39.021701 loss=2.751636 lr=0.042294 Epoch[122] Batch [3649]/[3759] Speed: 163.425187 samples/sec accuracy=39.017551 loss=2.751775 lr=0.042281 Epoch[122] Batch [3699]/[3759] Speed: 163.222649 samples/sec accuracy=38.996199 loss=2.752387 lr=0.042269 Epoch[122] Batch [3749]/[3759] Speed: 178.997114 samples/sec accuracy=38.982917 loss=2.752842 lr=0.042256 Batch [0049]/[0303]: acc-top1=40.843750 acc-top5=66.718750 Batch [0099]/[0303]: acc-top1=38.890625 acc-top5=65.312500 Batch [0149]/[0303]: acc-top1=39.583333 acc-top5=65.864583 Batch [0199]/[0303]: acc-top1=42.164062 acc-top5=67.703125 Batch [0249]/[0303]: acc-top1=41.031250 acc-top5=67.218750 Batch [0299]/[0303]: acc-top1=40.270833 acc-top5=67.046875 [Epoch 122] training: accuracy=38.983523 loss=2.752580 [Epoch 122] speed: 163 samples/sec time cost: 1587.538084 [Epoch 122] validation: acc-top1=40.258870 acc-top5=67.007013 loss=2.899264 Epoch[123] Batch [0049]/[3760] Speed: 114.799994 samples/sec accuracy=40.593750 loss=2.704825 lr=0.042241 Epoch[123] Batch [0099]/[3760] Speed: 163.993450 samples/sec accuracy=40.437500 loss=2.685958 lr=0.042228 Epoch[123] Batch [0149]/[3760] Speed: 163.662213 samples/sec accuracy=40.364583 loss=2.674824 lr=0.042215 Epoch[123] Batch [0199]/[3760] Speed: 164.840229 samples/sec accuracy=40.195312 loss=2.698612 lr=0.042203 Epoch[123] Batch [0249]/[3760] Speed: 164.146378 samples/sec accuracy=40.443750 loss=2.697558 lr=0.042190 Epoch[123] Batch [0299]/[3760] Speed: 163.777810 samples/sec accuracy=40.375000 loss=2.702108 lr=0.042177 Epoch[123] Batch [0349]/[3760] Speed: 163.897044 samples/sec accuracy=40.196429 loss=2.706002 lr=0.042164 Epoch[123] Batch [0399]/[3760] Speed: 164.136791 samples/sec accuracy=40.246094 loss=2.707682 lr=0.042152 Epoch[123] Batch [0449]/[3760] Speed: 164.148470 samples/sec accuracy=40.121528 loss=2.708903 lr=0.042139 Epoch[123] Batch [0499]/[3760] Speed: 164.403050 samples/sec accuracy=39.996875 loss=2.713680 lr=0.042126 Epoch[123] Batch [0549]/[3760] Speed: 162.846193 samples/sec accuracy=39.914773 loss=2.712113 lr=0.042113 Epoch[123] Batch [0599]/[3760] Speed: 164.368441 samples/sec accuracy=39.828125 loss=2.716445 lr=0.042101 Epoch[123] Batch [0649]/[3760] Speed: 162.484663 samples/sec accuracy=39.889423 loss=2.714334 lr=0.042088 Epoch[123] Batch [0699]/[3760] Speed: 164.207961 samples/sec accuracy=39.924107 loss=2.715143 lr=0.042075 Epoch[123] Batch [0749]/[3760] Speed: 163.941617 samples/sec accuracy=39.975000 loss=2.714523 lr=0.042062 Epoch[123] Batch [0799]/[3760] Speed: 165.361206 samples/sec accuracy=39.935547 loss=2.715298 lr=0.042050 Epoch[123] Batch [0849]/[3760] Speed: 164.459483 samples/sec accuracy=39.990809 loss=2.712805 lr=0.042037 Epoch[123] Batch [0899]/[3760] Speed: 162.694977 samples/sec accuracy=39.911458 loss=2.714740 lr=0.042024 Epoch[123] Batch [0949]/[3760] Speed: 165.792676 samples/sec accuracy=39.847039 loss=2.720017 lr=0.042012 Epoch[123] Batch [0999]/[3760] Speed: 162.148076 samples/sec accuracy=39.890625 loss=2.718216 lr=0.041999 Epoch[123] Batch [1049]/[3760] Speed: 164.260768 samples/sec accuracy=39.876488 loss=2.718276 lr=0.041986 Epoch[123] Batch [1099]/[3760] Speed: 161.239836 samples/sec accuracy=39.828125 loss=2.717395 lr=0.041973 Epoch[123] Batch [1149]/[3760] Speed: 163.162616 samples/sec accuracy=39.832880 loss=2.716496 lr=0.041961 Epoch[123] Batch [1199]/[3760] Speed: 162.675252 samples/sec accuracy=39.876302 loss=2.714799 lr=0.041948 Epoch[123] Batch [1249]/[3760] Speed: 164.196163 samples/sec accuracy=39.870000 loss=2.714649 lr=0.041935 Epoch[123] Batch [1299]/[3760] Speed: 166.670209 samples/sec accuracy=39.813702 loss=2.716094 lr=0.041922 Epoch[123] Batch [1349]/[3760] Speed: 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162.965376 samples/sec accuracy=39.361486 loss=2.737189 lr=0.041312 Epoch[123] Batch [3749]/[3760] Speed: 176.757520 samples/sec accuracy=39.360833 loss=2.737099 lr=0.041299 Batch [0049]/[0303]: acc-top1=38.875000 acc-top5=64.687500 Batch [0099]/[0303]: acc-top1=36.937500 acc-top5=63.640625 Batch [0149]/[0303]: acc-top1=38.739583 acc-top5=65.260417 Batch [0199]/[0303]: acc-top1=41.906250 acc-top5=67.078125 Batch [0249]/[0303]: acc-top1=41.512500 acc-top5=66.831250 Batch [0299]/[0303]: acc-top1=40.906250 acc-top5=67.234375 [Epoch 123] training: accuracy=39.356715 loss=2.737266 [Epoch 123] speed: 163 samples/sec time cost: 1589.212721 [Epoch 123] validation: acc-top1=40.872525 acc-top5=67.233911 loss=2.829301 Epoch[124] Batch [0049]/[3760] Speed: 114.557654 samples/sec accuracy=39.812500 loss=2.702726 lr=0.041284 Epoch[124] Batch [0099]/[3760] Speed: 156.003489 samples/sec accuracy=40.359375 loss=2.663229 lr=0.041271 Epoch[124] Batch [0149]/[3760] Speed: 168.711945 samples/sec 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Batch [0299]/[0303]: acc-top1=39.375000 acc-top5=65.145833 [Epoch 124] training: accuracy=39.586519 loss=2.722371 [Epoch 124] speed: 163 samples/sec time cost: 1590.243717 [Epoch 124] validation: acc-top1=39.273927 acc-top5=65.093853 loss=2.955827 Epoch[125] Batch [0049]/[3759] Speed: 117.821918 samples/sec accuracy=40.531250 loss=2.681970 lr=0.040331 Epoch[125] Batch [0099]/[3759] Speed: 164.226351 samples/sec accuracy=40.437500 loss=2.680644 lr=0.040318 Epoch[125] Batch [0149]/[3759] Speed: 164.382434 samples/sec accuracy=40.020833 loss=2.694689 lr=0.040306 Epoch[125] Batch [0199]/[3759] Speed: 163.536479 samples/sec accuracy=39.812500 loss=2.702946 lr=0.040293 Epoch[125] Batch [0249]/[3759] Speed: 163.673330 samples/sec accuracy=39.900000 loss=2.703039 lr=0.040280 Epoch[125] Batch [0299]/[3759] Speed: 165.425439 samples/sec accuracy=39.932292 loss=2.710750 lr=0.040268 Epoch[125] Batch [0349]/[3759] Speed: 162.642596 samples/sec accuracy=39.968750 loss=2.711315 lr=0.040255 Epoch[125] 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loss=2.710952 lr=0.039421 Epoch[125] Batch [3699]/[3759] Speed: 163.041857 samples/sec accuracy=39.796875 loss=2.710646 lr=0.039409 Epoch[125] Batch [3749]/[3759] Speed: 176.183809 samples/sec accuracy=39.797500 loss=2.710798 lr=0.039396 Batch [0049]/[0303]: acc-top1=42.593750 acc-top5=66.781250 Batch [0099]/[0303]: acc-top1=39.140625 acc-top5=65.781250 Batch [0149]/[0303]: acc-top1=40.385417 acc-top5=66.531250 Batch [0199]/[0303]: acc-top1=42.640625 acc-top5=68.039062 Batch [0249]/[0303]: acc-top1=41.806250 acc-top5=67.725000 Batch [0299]/[0303]: acc-top1=41.531250 acc-top5=67.770833 [Epoch 125] training: accuracy=39.792415 loss=2.710862 [Epoch 125] speed: 163 samples/sec time cost: 1585.651822 [Epoch 125] validation: acc-top1=41.434612 acc-top5=67.713490 loss=2.781319 Epoch[126] Batch [0049]/[3760] Speed: 114.203150 samples/sec accuracy=40.062500 loss=2.651089 lr=0.039381 Epoch[126] Batch [0099]/[3760] Speed: 164.349135 samples/sec accuracy=39.734375 loss=2.697772 lr=0.039369 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accuracy=40.018750 loss=2.691300 lr=0.038890 Epoch[126] Batch [2049]/[3760] Speed: 165.087982 samples/sec accuracy=40.010671 loss=2.692596 lr=0.038878 Epoch[126] Batch [2099]/[3760] Speed: 164.910933 samples/sec accuracy=40.021577 loss=2.691549 lr=0.038865 Epoch[126] Batch [2149]/[3760] Speed: 164.030982 samples/sec accuracy=40.006541 loss=2.692139 lr=0.038853 Epoch[126] Batch [2199]/[3760] Speed: 164.561701 samples/sec accuracy=40.012784 loss=2.692896 lr=0.038840 Epoch[126] Batch [2249]/[3760] Speed: 165.495133 samples/sec accuracy=40.034722 loss=2.691748 lr=0.038828 Epoch[126] Batch [2299]/[3760] Speed: 164.287223 samples/sec accuracy=40.022418 loss=2.692614 lr=0.038815 Epoch[126] Batch [2349]/[3760] Speed: 164.104641 samples/sec accuracy=40.048537 loss=2.690889 lr=0.038802 Epoch[126] Batch [2399]/[3760] Speed: 164.323983 samples/sec accuracy=39.975911 loss=2.694082 lr=0.038790 Epoch[126] Batch [2449]/[3760] Speed: 165.086173 samples/sec accuracy=39.941327 loss=2.694752 lr=0.038777 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loss=2.698751 lr=0.038539 Epoch[126] Batch [3449]/[3760] Speed: 164.540230 samples/sec accuracy=39.955616 loss=2.700646 lr=0.038526 Epoch[126] Batch [3499]/[3760] Speed: 164.599490 samples/sec accuracy=39.962946 loss=2.700410 lr=0.038513 Epoch[126] Batch [3549]/[3760] Speed: 163.744921 samples/sec accuracy=39.953785 loss=2.700519 lr=0.038501 Epoch[126] Batch [3599]/[3760] Speed: 164.530258 samples/sec accuracy=39.955295 loss=2.700789 lr=0.038488 Epoch[126] Batch [3649]/[3760] Speed: 166.301895 samples/sec accuracy=39.970462 loss=2.700473 lr=0.038476 Epoch[126] Batch [3699]/[3760] Speed: 165.256791 samples/sec accuracy=39.954392 loss=2.701259 lr=0.038463 Epoch[126] Batch [3749]/[3760] Speed: 176.311733 samples/sec accuracy=39.931667 loss=2.701823 lr=0.038451 Batch [0049]/[0303]: acc-top1=40.625000 acc-top5=67.125000 Batch [0099]/[0303]: acc-top1=37.812500 acc-top5=65.453125 Batch [0149]/[0303]: acc-top1=38.812500 acc-top5=66.343750 Batch [0199]/[0303]: acc-top1=41.820312 acc-top5=68.546875 Batch [0249]/[0303]: acc-top1=41.337500 acc-top5=68.106250 Batch [0299]/[0303]: acc-top1=41.208333 acc-top5=68.364583 [Epoch 126] training: accuracy=39.925199 loss=2.702008 [Epoch 126] speed: 163 samples/sec time cost: 1587.018999 [Epoch 126] validation: acc-top1=41.202558 acc-top5=68.373556 loss=2.858851 Epoch[127] Batch [0049]/[3760] Speed: 116.142329 samples/sec accuracy=41.718750 loss=2.635231 lr=0.038436 Epoch[127] Batch [0099]/[3760] Speed: 166.836835 samples/sec accuracy=41.921875 loss=2.620186 lr=0.038423 Epoch[127] Batch [0149]/[3760] Speed: 165.601462 samples/sec accuracy=41.500000 loss=2.642231 lr=0.038411 Epoch[127] Batch [0199]/[3760] Speed: 162.866892 samples/sec accuracy=41.164062 loss=2.652341 lr=0.038398 Epoch[127] Batch [0249]/[3760] Speed: 165.273449 samples/sec accuracy=40.950000 loss=2.659013 lr=0.038385 Epoch[127] Batch [0299]/[3760] Speed: 164.166746 samples/sec accuracy=40.687500 loss=2.659249 lr=0.038373 Epoch[127] Batch [0349]/[3760] Speed: 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accuracy=40.693750 loss=2.661316 lr=0.037133 Epoch[128] Batch [1549]/[3759] Speed: 162.245063 samples/sec accuracy=40.674395 loss=2.661919 lr=0.037120 Epoch[128] Batch [1599]/[3759] Speed: 163.676160 samples/sec accuracy=40.645508 loss=2.662729 lr=0.037108 Epoch[128] Batch [1649]/[3759] Speed: 164.806676 samples/sec accuracy=40.600379 loss=2.665410 lr=0.037095 Epoch[128] Batch [1699]/[3759] Speed: 164.766730 samples/sec accuracy=40.619485 loss=2.666133 lr=0.037083 Epoch[128] Batch [1749]/[3759] Speed: 163.033117 samples/sec accuracy=40.644643 loss=2.665125 lr=0.037070 Epoch[128] Batch [1799]/[3759] Speed: 164.837646 samples/sec accuracy=40.606771 loss=2.668296 lr=0.037058 Epoch[128] Batch [1849]/[3759] Speed: 161.448225 samples/sec accuracy=40.581926 loss=2.668101 lr=0.037045 Epoch[128] Batch [1899]/[3759] Speed: 163.147805 samples/sec accuracy=40.580592 loss=2.668461 lr=0.037033 Epoch[128] Batch [1949]/[3759] Speed: 162.617234 samples/sec accuracy=40.580128 loss=2.668740 lr=0.037020 Epoch[128] Batch [1999]/[3759] Speed: 164.073438 samples/sec accuracy=40.563281 loss=2.669700 lr=0.037008 Epoch[128] Batch [2049]/[3759] Speed: 164.702600 samples/sec accuracy=40.503811 loss=2.672480 lr=0.036996 Epoch[128] Batch [2099]/[3759] Speed: 164.119301 samples/sec accuracy=40.554315 loss=2.670862 lr=0.036983 Epoch[128] Batch [2149]/[3759] Speed: 164.895869 samples/sec accuracy=40.575581 loss=2.670782 lr=0.036971 Epoch[128] Batch [2199]/[3759] Speed: 162.874094 samples/sec accuracy=40.588068 loss=2.670364 lr=0.036958 Epoch[128] Batch [2249]/[3759] Speed: 165.358423 samples/sec accuracy=40.561806 loss=2.671734 lr=0.036946 Epoch[128] Batch [2299]/[3759] Speed: 165.321335 samples/sec accuracy=40.568614 loss=2.671667 lr=0.036933 Epoch[128] Batch [2349]/[3759] Speed: 162.578487 samples/sec accuracy=40.587766 loss=2.670606 lr=0.036921 Epoch[128] Batch [2399]/[3759] Speed: 164.382156 samples/sec accuracy=40.586589 loss=2.670830 lr=0.036908 Epoch[128] Batch [2449]/[3759] Speed: 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loss=2.668155 lr=0.036784 Epoch[128] Batch [2949]/[3759] Speed: 164.198706 samples/sec accuracy=40.603814 loss=2.668963 lr=0.036771 Epoch[128] Batch [2999]/[3759] Speed: 163.602969 samples/sec accuracy=40.600521 loss=2.669281 lr=0.036759 Epoch[128] Batch [3049]/[3759] Speed: 162.985532 samples/sec accuracy=40.600922 loss=2.669784 lr=0.036747 Epoch[128] Batch [3099]/[3759] Speed: 164.375293 samples/sec accuracy=40.604335 loss=2.670121 lr=0.036734 Epoch[128] Batch [3149]/[3759] Speed: 164.330544 samples/sec accuracy=40.603175 loss=2.669939 lr=0.036722 Epoch[128] Batch [3199]/[3759] Speed: 163.221950 samples/sec accuracy=40.575195 loss=2.670929 lr=0.036709 Epoch[128] Batch [3249]/[3759] Speed: 164.204766 samples/sec accuracy=40.583654 loss=2.670364 lr=0.036697 Epoch[128] Batch [3299]/[3759] Speed: 164.957006 samples/sec accuracy=40.575758 loss=2.670619 lr=0.036684 Epoch[128] Batch [3349]/[3759] Speed: 164.422264 samples/sec accuracy=40.578358 loss=2.670899 lr=0.036672 Epoch[128] Batch [3399]/[3759] Speed: 163.283306 samples/sec accuracy=40.570772 loss=2.671696 lr=0.036660 Epoch[128] Batch [3449]/[3759] Speed: 163.995341 samples/sec accuracy=40.574275 loss=2.671633 lr=0.036647 Epoch[128] Batch [3499]/[3759] Speed: 164.595954 samples/sec accuracy=40.575000 loss=2.672061 lr=0.036635 Epoch[128] Batch [3549]/[3759] Speed: 162.178124 samples/sec accuracy=40.579225 loss=2.672223 lr=0.036622 Epoch[128] Batch [3599]/[3759] Speed: 164.282104 samples/sec accuracy=40.577257 loss=2.672311 lr=0.036610 Epoch[128] Batch [3649]/[3759] Speed: 164.446890 samples/sec accuracy=40.567209 loss=2.673179 lr=0.036597 Epoch[128] Batch [3699]/[3759] Speed: 162.315432 samples/sec accuracy=40.573480 loss=2.673241 lr=0.036585 Epoch[128] Batch [3749]/[3759] Speed: 178.346420 samples/sec accuracy=40.573333 loss=2.673376 lr=0.036573 Batch [0049]/[0303]: acc-top1=39.531250 acc-top5=65.187500 Batch [0099]/[0303]: acc-top1=37.734375 acc-top5=64.546875 Batch [0149]/[0303]: acc-top1=39.958333 acc-top5=66.041667 Batch [0199]/[0303]: acc-top1=42.367188 acc-top5=67.750000 Batch [0249]/[0303]: acc-top1=41.906250 acc-top5=67.743750 Batch [0299]/[0303]: acc-top1=41.140625 acc-top5=67.692708 [Epoch 128] training: accuracy=40.578445 loss=2.673205 [Epoch 128] speed: 163 samples/sec time cost: 1589.787758 [Epoch 128] validation: acc-top1=41.125206 acc-top5=67.687706 loss=2.827752 Epoch[129] Batch [0049]/[3760] Speed: 116.762133 samples/sec accuracy=41.843750 loss=2.604977 lr=0.036558 Epoch[129] Batch [0099]/[3760] Speed: 163.462448 samples/sec accuracy=40.703125 loss=2.644710 lr=0.036546 Epoch[129] Batch [0149]/[3760] Speed: 165.516036 samples/sec accuracy=41.093750 loss=2.649585 lr=0.036533 Epoch[129] Batch [0199]/[3760] Speed: 164.866050 samples/sec accuracy=40.945312 loss=2.645351 lr=0.036521 Epoch[129] Batch [0249]/[3760] Speed: 162.359530 samples/sec accuracy=40.918750 loss=2.649606 lr=0.036508 Epoch[129] Batch [0299]/[3760] Speed: 165.178874 samples/sec accuracy=40.875000 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accuracy=40.797309 loss=2.659308 lr=0.035678 Epoch[129] Batch [3649]/[3760] Speed: 163.753656 samples/sec accuracy=40.792808 loss=2.659202 lr=0.035666 Epoch[129] Batch [3699]/[3760] Speed: 164.634211 samples/sec accuracy=40.787162 loss=2.659117 lr=0.035654 Epoch[129] Batch [3749]/[3760] Speed: 176.262194 samples/sec accuracy=40.806250 loss=2.658079 lr=0.035641 Batch [0049]/[0303]: acc-top1=39.812500 acc-top5=66.531250 Batch [0099]/[0303]: acc-top1=37.718750 acc-top5=64.859375 Batch [0149]/[0303]: acc-top1=39.822917 acc-top5=66.364583 Batch [0199]/[0303]: acc-top1=42.507812 acc-top5=68.375000 Batch [0249]/[0303]: acc-top1=41.887500 acc-top5=67.975000 Batch [0299]/[0303]: acc-top1=40.838542 acc-top5=67.677083 [Epoch 129] training: accuracy=40.804106 loss=2.658139 [Epoch 129] speed: 163 samples/sec time cost: 1588.625881 [Epoch 129] validation: acc-top1=40.831271 acc-top5=67.641295 loss=2.908386 Epoch[130] Batch [0049]/[3759] Speed: 116.120638 samples/sec accuracy=41.500000 loss=2.661351 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accuracy=41.083022 loss=2.646230 lr=0.034813 Epoch[130] Batch [3399]/[3759] Speed: 164.193559 samples/sec accuracy=41.069853 loss=2.646612 lr=0.034801 Epoch[130] Batch [3449]/[3759] Speed: 163.910600 samples/sec accuracy=41.059783 loss=2.646693 lr=0.034789 Epoch[130] Batch [3499]/[3759] Speed: 163.722846 samples/sec accuracy=41.068304 loss=2.646240 lr=0.034776 Epoch[130] Batch [3549]/[3759] Speed: 165.307149 samples/sec accuracy=41.050616 loss=2.646848 lr=0.034764 Epoch[130] Batch [3599]/[3759] Speed: 163.057517 samples/sec accuracy=41.050347 loss=2.647065 lr=0.034752 Epoch[130] Batch [3649]/[3759] Speed: 164.027133 samples/sec accuracy=41.019264 loss=2.647847 lr=0.034739 Epoch[130] Batch [3699]/[3759] Speed: 165.119241 samples/sec accuracy=41.034628 loss=2.647029 lr=0.034727 Epoch[130] Batch [3749]/[3759] Speed: 179.873640 samples/sec accuracy=41.022500 loss=2.647473 lr=0.034715 Batch [0049]/[0303]: acc-top1=44.093750 acc-top5=69.125000 Batch [0099]/[0303]: acc-top1=40.000000 acc-top5=65.984375 Batch [0149]/[0303]: acc-top1=41.531250 acc-top5=67.041667 Batch [0199]/[0303]: acc-top1=44.218750 acc-top5=69.359375 Batch [0249]/[0303]: acc-top1=43.762500 acc-top5=69.318750 Batch [0299]/[0303]: acc-top1=43.302083 acc-top5=69.276042 [Epoch 130] training: accuracy=41.028615 loss=2.647061 [Epoch 130] speed: 163 samples/sec time cost: 1588.260463 [Epoch 130] validation: acc-top1=43.280734 acc-top5=69.260520 loss=2.720479 Epoch[131] Batch [0049]/[3760] Speed: 116.618865 samples/sec accuracy=41.437500 loss=2.649508 lr=0.034700 Epoch[131] Batch [0099]/[3760] Speed: 163.535611 samples/sec accuracy=41.546875 loss=2.627347 lr=0.034688 Epoch[131] Batch [0149]/[3760] Speed: 164.738980 samples/sec accuracy=41.781250 loss=2.636297 lr=0.034676 Epoch[131] Batch [0199]/[3760] Speed: 162.151260 samples/sec accuracy=41.960938 loss=2.627014 lr=0.034664 Epoch[131] Batch [0249]/[3760] Speed: 164.760972 samples/sec accuracy=42.093750 loss=2.612898 lr=0.034651 Epoch[131] Batch 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accuracy=41.437500 loss=2.632392 lr=0.033953 Epoch[131] Batch [3149]/[3760] Speed: 163.624853 samples/sec accuracy=41.424107 loss=2.633073 lr=0.033941 Epoch[131] Batch [3199]/[3760] Speed: 164.873664 samples/sec accuracy=41.419922 loss=2.632305 lr=0.033929 Epoch[131] Batch [3249]/[3760] Speed: 163.708316 samples/sec accuracy=41.427885 loss=2.631853 lr=0.033917 Epoch[131] Batch [3299]/[3760] Speed: 164.154039 samples/sec accuracy=41.426136 loss=2.631966 lr=0.033904 Epoch[131] Batch [3349]/[3760] Speed: 163.577732 samples/sec accuracy=41.419310 loss=2.632315 lr=0.033892 Epoch[131] Batch [3399]/[3760] Speed: 164.658264 samples/sec accuracy=41.437960 loss=2.631698 lr=0.033880 Epoch[131] Batch [3449]/[3760] Speed: 163.695999 samples/sec accuracy=41.419384 loss=2.632225 lr=0.033868 Epoch[131] Batch [3499]/[3760] Speed: 164.757162 samples/sec accuracy=41.408929 loss=2.633011 lr=0.033856 Epoch[131] Batch [3549]/[3760] Speed: 163.965801 samples/sec accuracy=41.387324 loss=2.634713 lr=0.033843 Epoch[131] Batch [3599]/[3760] Speed: 163.283606 samples/sec accuracy=41.388889 loss=2.634750 lr=0.033831 Epoch[131] Batch [3649]/[3760] Speed: 164.595964 samples/sec accuracy=41.377997 loss=2.634880 lr=0.033819 Epoch[131] Batch [3699]/[3760] Speed: 165.183847 samples/sec accuracy=41.353041 loss=2.635910 lr=0.033807 Epoch[131] Batch [3749]/[3760] Speed: 176.521603 samples/sec accuracy=41.358750 loss=2.636171 lr=0.033795 Batch [0049]/[0303]: acc-top1=43.000000 acc-top5=66.343750 Batch [0099]/[0303]: acc-top1=39.609375 acc-top5=65.171875 Batch [0149]/[0303]: acc-top1=40.864583 acc-top5=66.156250 Batch [0199]/[0303]: acc-top1=43.718750 acc-top5=68.273438 Batch [0249]/[0303]: acc-top1=42.737500 acc-top5=68.037500 Batch [0299]/[0303]: acc-top1=42.411458 acc-top5=68.098958 [Epoch 131] training: accuracy=41.359707 loss=2.636194 [Epoch 131] speed: 163 samples/sec time cost: 1588.962567 [Epoch 131] validation: acc-top1=42.362830 acc-top5=68.126031 loss=2.746130 Epoch[132] Batch [0049]/[3760] 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accuracy=42.287500 loss=2.582672 lr=0.033670 Epoch[132] Batch [0549]/[3760] Speed: 165.607909 samples/sec accuracy=42.218750 loss=2.588086 lr=0.033658 Epoch[132] Batch [0599]/[3760] Speed: 163.530215 samples/sec accuracy=42.169271 loss=2.592651 lr=0.033646 Epoch[132] Batch [0649]/[3760] Speed: 162.928857 samples/sec accuracy=42.076923 loss=2.595560 lr=0.033634 Epoch[132] Batch [0699]/[3760] Speed: 164.345499 samples/sec accuracy=42.084821 loss=2.594154 lr=0.033621 Epoch[132] Batch [0749]/[3760] Speed: 162.446521 samples/sec accuracy=42.089583 loss=2.593597 lr=0.033609 Epoch[132] Batch [0799]/[3760] Speed: 165.349879 samples/sec accuracy=42.074219 loss=2.596591 lr=0.033597 Epoch[132] Batch [0849]/[3760] Speed: 164.200232 samples/sec accuracy=42.029412 loss=2.597440 lr=0.033585 Epoch[132] Batch [0899]/[3760] Speed: 162.292174 samples/sec accuracy=42.069444 loss=2.595927 lr=0.033573 Epoch[132] Batch [0949]/[3760] Speed: 164.943643 samples/sec accuracy=42.097039 loss=2.595718 lr=0.033561 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loss=2.604740 lr=0.033329 Epoch[132] Batch [1949]/[3760] Speed: 163.088523 samples/sec accuracy=41.890224 loss=2.605041 lr=0.033317 Epoch[132] Batch [1999]/[3760] Speed: 163.064480 samples/sec accuracy=41.918750 loss=2.604513 lr=0.033305 Epoch[132] Batch [2049]/[3760] Speed: 164.959619 samples/sec accuracy=41.914634 loss=2.605762 lr=0.033293 Epoch[132] Batch [2099]/[3760] Speed: 163.762679 samples/sec accuracy=41.913690 loss=2.606013 lr=0.033281 Epoch[132] Batch [2149]/[3760] Speed: 164.371132 samples/sec accuracy=41.948401 loss=2.604539 lr=0.033269 Epoch[132] Batch [2199]/[3760] Speed: 164.156498 samples/sec accuracy=41.917614 loss=2.605397 lr=0.033256 Epoch[132] Batch [2249]/[3760] Speed: 163.847020 samples/sec accuracy=41.918750 loss=2.606166 lr=0.033244 Epoch[132] Batch [2299]/[3760] Speed: 164.290976 samples/sec accuracy=41.895380 loss=2.607671 lr=0.033232 Epoch[132] Batch [2349]/[3760] Speed: 164.185959 samples/sec accuracy=41.886303 loss=2.608710 lr=0.033220 Epoch[132] Batch 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accuracy=41.868421 loss=2.608468 lr=0.033098 Epoch[132] Batch [2899]/[3760] Speed: 165.549736 samples/sec accuracy=41.860453 loss=2.608468 lr=0.033086 Epoch[132] Batch [2949]/[3760] Speed: 164.581906 samples/sec accuracy=41.850636 loss=2.609472 lr=0.033074 Epoch[132] Batch [2999]/[3760] Speed: 164.331263 samples/sec accuracy=41.867708 loss=2.608855 lr=0.033062 Epoch[132] Batch [3049]/[3760] Speed: 164.018424 samples/sec accuracy=41.849898 loss=2.609756 lr=0.033050 Epoch[132] Batch [3099]/[3760] Speed: 164.515151 samples/sec accuracy=41.870464 loss=2.609353 lr=0.033038 Epoch[132] Batch [3149]/[3760] Speed: 163.209970 samples/sec accuracy=41.858135 loss=2.609657 lr=0.033026 Epoch[132] Batch [3199]/[3760] Speed: 164.702044 samples/sec accuracy=41.841309 loss=2.610115 lr=0.033014 Epoch[132] Batch [3249]/[3760] Speed: 165.061577 samples/sec accuracy=41.816346 loss=2.610657 lr=0.033001 Epoch[132] Batch [3299]/[3760] Speed: 164.305362 samples/sec accuracy=41.803977 loss=2.610996 lr=0.032989 Epoch[132] Batch [3349]/[3760] Speed: 164.866218 samples/sec accuracy=41.808769 loss=2.610833 lr=0.032977 Epoch[132] Batch [3399]/[3760] Speed: 163.954155 samples/sec accuracy=41.810202 loss=2.611040 lr=0.032965 Epoch[132] Batch [3449]/[3760] Speed: 164.290889 samples/sec accuracy=41.807971 loss=2.611154 lr=0.032953 Epoch[132] Batch [3499]/[3760] Speed: 163.202732 samples/sec accuracy=41.792411 loss=2.612241 lr=0.032941 Epoch[132] Batch [3549]/[3760] Speed: 163.997335 samples/sec accuracy=41.770246 loss=2.612826 lr=0.032929 Epoch[132] Batch [3599]/[3760] Speed: 164.745568 samples/sec accuracy=41.764323 loss=2.612958 lr=0.032917 Epoch[132] Batch [3649]/[3760] Speed: 164.440604 samples/sec accuracy=41.731592 loss=2.613605 lr=0.032904 Epoch[132] Batch [3699]/[3760] Speed: 164.426407 samples/sec accuracy=41.711149 loss=2.614542 lr=0.032892 Epoch[132] Batch [3749]/[3760] Speed: 176.350288 samples/sec accuracy=41.724583 loss=2.614307 lr=0.032880 Batch [0049]/[0303]: acc-top1=42.968750 acc-top5=66.906250 Batch [0099]/[0303]: acc-top1=40.343750 acc-top5=66.890625 Batch [0149]/[0303]: acc-top1=41.812500 acc-top5=67.312500 Batch [0199]/[0303]: acc-top1=44.351562 acc-top5=69.601562 Batch [0249]/[0303]: acc-top1=43.756250 acc-top5=69.450000 Batch [0299]/[0303]: acc-top1=42.942708 acc-top5=69.328125 [Epoch 132] training: accuracy=41.727892 loss=2.614321 [Epoch 132] speed: 163 samples/sec time cost: 1588.139607 [Epoch 132] validation: acc-top1=42.873350 acc-top5=69.301774 loss=2.744289 Epoch[133] Batch [0049]/[3759] Speed: 115.559892 samples/sec accuracy=42.406250 loss=2.583122 lr=0.032866 Epoch[133] Batch [0099]/[3759] Speed: 164.010235 samples/sec accuracy=42.328125 loss=2.571086 lr=0.032854 Epoch[133] Batch [0149]/[3759] Speed: 165.034776 samples/sec accuracy=42.447917 loss=2.575935 lr=0.032841 Epoch[133] Batch [0199]/[3759] Speed: 163.979204 samples/sec accuracy=42.585938 loss=2.576589 lr=0.032829 Epoch[133] Batch [0249]/[3759] Speed: 165.176880 samples/sec accuracy=42.162500 loss=2.583806 lr=0.032817 Epoch[133] Batch [0299]/[3759] Speed: 164.420429 samples/sec accuracy=42.010417 loss=2.585997 lr=0.032805 Epoch[133] Batch [0349]/[3759] Speed: 165.040166 samples/sec accuracy=42.111607 loss=2.586817 lr=0.032793 Epoch[133] Batch [0399]/[3759] Speed: 164.070560 samples/sec accuracy=42.117188 loss=2.584312 lr=0.032781 Epoch[133] Batch [0449]/[3759] Speed: 163.142268 samples/sec accuracy=42.163194 loss=2.584784 lr=0.032769 Epoch[133] Batch [0499]/[3759] Speed: 162.365188 samples/sec accuracy=42.215625 loss=2.582853 lr=0.032757 Epoch[133] Batch [0549]/[3759] Speed: 165.775215 samples/sec accuracy=42.264205 loss=2.582269 lr=0.032745 Epoch[133] Batch [0599]/[3759] Speed: 162.744390 samples/sec accuracy=42.208333 loss=2.587620 lr=0.032732 Epoch[133] Batch [0649]/[3759] Speed: 163.050408 samples/sec accuracy=42.165865 loss=2.585176 lr=0.032720 Epoch[133] Batch [0699]/[3759] Speed: 163.589679 samples/sec accuracy=42.089286 loss=2.587326 lr=0.032708 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164.863383 samples/sec accuracy=41.665493 loss=2.609553 lr=0.032020 Epoch[133] Batch [3599]/[3759] Speed: 162.944015 samples/sec accuracy=41.642795 loss=2.610377 lr=0.032008 Epoch[133] Batch [3649]/[3759] Speed: 164.227434 samples/sec accuracy=41.643836 loss=2.610319 lr=0.031996 Epoch[133] Batch [3699]/[3759] Speed: 164.214617 samples/sec accuracy=41.674409 loss=2.609723 lr=0.031984 Epoch[133] Batch [3749]/[3759] Speed: 177.317870 samples/sec accuracy=41.668750 loss=2.610176 lr=0.031972 Batch [0049]/[0303]: acc-top1=42.812500 acc-top5=69.375000 Batch [0099]/[0303]: acc-top1=39.546875 acc-top5=66.734375 Batch [0149]/[0303]: acc-top1=42.239583 acc-top5=67.697917 Batch [0199]/[0303]: acc-top1=44.828125 acc-top5=69.539062 Batch [0249]/[0303]: acc-top1=44.225000 acc-top5=69.331250 Batch [0299]/[0303]: acc-top1=43.229167 acc-top5=69.140625 [Epoch 133] training: accuracy=41.669161 loss=2.609985 [Epoch 133] speed: 163 samples/sec time cost: 1586.044108 [Epoch 133] validation: acc-top1=43.234323 acc-top5=69.178012 loss=2.756685 Epoch[134] Batch [0049]/[3760] Speed: 114.828573 samples/sec accuracy=42.906250 loss=2.555227 lr=0.031958 Epoch[134] Batch [0099]/[3760] Speed: 164.767562 samples/sec accuracy=44.187500 loss=2.508284 lr=0.031946 Epoch[134] Batch [0149]/[3760] Speed: 165.864037 samples/sec accuracy=43.885417 loss=2.519566 lr=0.031934 Epoch[134] Batch [0199]/[3760] Speed: 163.923138 samples/sec accuracy=43.414062 loss=2.525731 lr=0.031922 Epoch[134] Batch [0249]/[3760] Speed: 164.957261 samples/sec accuracy=43.193750 loss=2.532927 lr=0.031910 Epoch[134] Batch [0299]/[3760] Speed: 164.662373 samples/sec accuracy=43.145833 loss=2.542212 lr=0.031898 Epoch[134] Batch [0349]/[3760] Speed: 165.841346 samples/sec accuracy=43.147321 loss=2.546414 lr=0.031886 Epoch[134] Batch [0399]/[3760] Speed: 164.143919 samples/sec accuracy=42.949219 loss=2.552906 lr=0.031874 Epoch[134] Batch [0449]/[3760] Speed: 163.221494 samples/sec accuracy=42.947917 loss=2.555593 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accuracy=42.710938 loss=2.562573 lr=0.031634 Epoch[134] Batch [1449]/[3760] Speed: 163.089016 samples/sec accuracy=42.726293 loss=2.562224 lr=0.031622 Epoch[134] Batch [1499]/[3760] Speed: 163.770739 samples/sec accuracy=42.733333 loss=2.562738 lr=0.031610 Epoch[134] Batch [1549]/[3760] Speed: 164.019879 samples/sec accuracy=42.686492 loss=2.564114 lr=0.031598 Epoch[134] Batch [1599]/[3760] Speed: 164.426663 samples/sec accuracy=42.631836 loss=2.565850 lr=0.031586 Epoch[134] Batch [1649]/[3760] Speed: 165.171534 samples/sec accuracy=42.609848 loss=2.567354 lr=0.031574 Epoch[134] Batch [1699]/[3760] Speed: 163.515203 samples/sec accuracy=42.564338 loss=2.569433 lr=0.031562 Epoch[134] Batch [1749]/[3760] Speed: 164.291792 samples/sec accuracy=42.549107 loss=2.568556 lr=0.031550 Epoch[134] Batch [1799]/[3760] Speed: 166.627082 samples/sec accuracy=42.534722 loss=2.569409 lr=0.031538 Epoch[134] Batch [1849]/[3760] Speed: 163.353308 samples/sec accuracy=42.527027 loss=2.570712 lr=0.031526 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loss=2.581810 lr=0.031298 Epoch[134] Batch [2849]/[3760] Speed: 163.069172 samples/sec accuracy=42.311404 loss=2.582545 lr=0.031286 Epoch[134] Batch [2899]/[3760] Speed: 164.563886 samples/sec accuracy=42.337823 loss=2.582477 lr=0.031274 Epoch[134] Batch [2949]/[3760] Speed: 164.744898 samples/sec accuracy=42.368644 loss=2.582279 lr=0.031262 Epoch[134] Batch [2999]/[3760] Speed: 165.072261 samples/sec accuracy=42.347396 loss=2.582815 lr=0.031250 Epoch[134] Batch [3049]/[3760] Speed: 162.938435 samples/sec accuracy=42.325820 loss=2.583665 lr=0.031238 Epoch[134] Batch [3099]/[3760] Speed: 164.633838 samples/sec accuracy=42.334677 loss=2.583128 lr=0.031227 Epoch[134] Batch [3149]/[3760] Speed: 163.365268 samples/sec accuracy=42.314980 loss=2.584046 lr=0.031215 Epoch[134] Batch [3199]/[3760] Speed: 164.293094 samples/sec accuracy=42.320312 loss=2.584605 lr=0.031203 Epoch[134] Batch [3249]/[3760] Speed: 164.614748 samples/sec accuracy=42.311058 loss=2.584818 lr=0.031191 Epoch[134] Batch 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accuracy=42.272083 loss=2.586416 lr=0.031071 Batch [0049]/[0303]: acc-top1=43.406250 acc-top5=68.718750 Batch [0099]/[0303]: acc-top1=40.140625 acc-top5=65.843750 Batch [0149]/[0303]: acc-top1=41.843750 acc-top5=67.322917 Batch [0199]/[0303]: acc-top1=44.523438 acc-top5=69.695312 Batch [0249]/[0303]: acc-top1=44.068750 acc-top5=69.562500 Batch [0299]/[0303]: acc-top1=43.130208 acc-top5=69.286458 [Epoch 134] training: accuracy=42.270196 loss=2.586420 [Epoch 134] speed: 163 samples/sec time cost: 1587.201558 [Epoch 134] validation: acc-top1=43.079620 acc-top5=69.224422 loss=2.721937 Epoch[135] Batch [0049]/[3760] Speed: 115.441309 samples/sec accuracy=42.781250 loss=2.524268 lr=0.031057 Epoch[135] Batch [0099]/[3760] Speed: 162.542903 samples/sec accuracy=42.953125 loss=2.536543 lr=0.031045 Epoch[135] Batch [0149]/[3760] Speed: 163.259599 samples/sec accuracy=42.645833 loss=2.537742 lr=0.031033 Epoch[135] Batch [0199]/[3760] Speed: 166.465390 samples/sec accuracy=42.828125 loss=2.536964 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accuracy=42.352679 loss=2.577527 lr=0.030236 Epoch[135] Batch [3549]/[3760] Speed: 166.856033 samples/sec accuracy=42.369718 loss=2.576767 lr=0.030225 Epoch[135] Batch [3599]/[3760] Speed: 163.545773 samples/sec accuracy=42.378472 loss=2.576827 lr=0.030213 Epoch[135] Batch [3649]/[3760] Speed: 163.943447 samples/sec accuracy=42.360873 loss=2.577434 lr=0.030201 Epoch[135] Batch [3699]/[3760] Speed: 164.210602 samples/sec accuracy=42.373311 loss=2.576720 lr=0.030189 Epoch[135] Batch [3749]/[3760] Speed: 175.345687 samples/sec accuracy=42.397083 loss=2.575293 lr=0.030177 Batch [0049]/[0303]: acc-top1=43.062500 acc-top5=68.093750 Batch [0099]/[0303]: acc-top1=39.984375 acc-top5=66.515625 Batch [0149]/[0303]: acc-top1=42.093750 acc-top5=67.468750 Batch [0199]/[0303]: acc-top1=44.851562 acc-top5=69.242188 Batch [0249]/[0303]: acc-top1=44.318750 acc-top5=69.412500 Batch [0299]/[0303]: acc-top1=43.588542 acc-top5=69.354167 [Epoch 135] training: accuracy=42.405668 loss=2.575053 [Epoch 135] speed: 163 samples/sec time cost: 1588.392272 [Epoch 135] validation: acc-top1=43.543729 acc-top5=69.389439 loss=2.715202 Epoch[136] Batch [0049]/[3759] Speed: 112.531600 samples/sec accuracy=42.218750 loss=2.550330 lr=0.030163 Epoch[136] Batch [0099]/[3759] Speed: 166.437479 samples/sec accuracy=43.406250 loss=2.508881 lr=0.030151 Epoch[136] Batch [0149]/[3759] Speed: 163.613910 samples/sec accuracy=43.343750 loss=2.526681 lr=0.030139 Epoch[136] Batch [0199]/[3759] Speed: 165.751989 samples/sec accuracy=43.429688 loss=2.527736 lr=0.030127 Epoch[136] Batch [0249]/[3759] Speed: 164.713058 samples/sec accuracy=43.275000 loss=2.540913 lr=0.030116 Epoch[136] Batch [0299]/[3759] Speed: 165.515501 samples/sec accuracy=43.364583 loss=2.537636 lr=0.030104 Epoch[136] Batch [0349]/[3759] Speed: 162.451858 samples/sec accuracy=43.330357 loss=2.532830 lr=0.030092 Epoch[136] Batch [0399]/[3759] Speed: 162.926187 samples/sec accuracy=43.199219 loss=2.541712 lr=0.030080 Epoch[136] Batch [0449]/[3759] 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accuracy=42.960069 loss=2.548015 lr=0.029962 Epoch[136] Batch [0949]/[3759] Speed: 163.784077 samples/sec accuracy=43.001645 loss=2.547304 lr=0.029950 Epoch[136] Batch [0999]/[3759] Speed: 164.434586 samples/sec accuracy=42.967188 loss=2.549213 lr=0.029938 Epoch[136] Batch [1049]/[3759] Speed: 162.457218 samples/sec accuracy=42.956845 loss=2.548822 lr=0.029926 Epoch[136] Batch [1099]/[3759] Speed: 164.062053 samples/sec accuracy=42.936080 loss=2.549209 lr=0.029915 Epoch[136] Batch [1149]/[3759] Speed: 163.733034 samples/sec accuracy=42.887228 loss=2.550401 lr=0.029903 Epoch[136] Batch [1199]/[3759] Speed: 164.265201 samples/sec accuracy=42.884115 loss=2.550925 lr=0.029891 Epoch[136] Batch [1249]/[3759] Speed: 162.476992 samples/sec accuracy=42.863750 loss=2.551688 lr=0.029879 Epoch[136] Batch [1299]/[3759] Speed: 164.380556 samples/sec accuracy=42.829327 loss=2.554026 lr=0.029867 Epoch[136] Batch [1349]/[3759] Speed: 163.153713 samples/sec accuracy=42.872685 loss=2.551567 lr=0.029856 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accuracy=42.756250 loss=2.562830 lr=0.029408 Epoch[136] Batch [3299]/[3759] Speed: 162.980342 samples/sec accuracy=42.743845 loss=2.563065 lr=0.029396 Epoch[136] Batch [3349]/[3759] Speed: 164.118842 samples/sec accuracy=42.729944 loss=2.563656 lr=0.029384 Epoch[136] Batch [3399]/[3759] Speed: 164.528316 samples/sec accuracy=42.708180 loss=2.564466 lr=0.029373 Epoch[136] Batch [3449]/[3759] Speed: 161.258122 samples/sec accuracy=42.710145 loss=2.564332 lr=0.029361 Epoch[136] Batch [3499]/[3759] Speed: 163.409126 samples/sec accuracy=42.711161 loss=2.564243 lr=0.029349 Epoch[136] Batch [3549]/[3759] Speed: 164.301442 samples/sec accuracy=42.713028 loss=2.564365 lr=0.029337 Epoch[136] Batch [3599]/[3759] Speed: 162.582307 samples/sec accuracy=42.717448 loss=2.563999 lr=0.029326 Epoch[136] Batch [3649]/[3759] Speed: 165.566510 samples/sec accuracy=42.699058 loss=2.564918 lr=0.029314 Epoch[136] Batch [3699]/[3759] Speed: 163.080515 samples/sec accuracy=42.681166 loss=2.565472 lr=0.029302 Epoch[136] Batch [3749]/[3759] Speed: 175.374225 samples/sec accuracy=42.694167 loss=2.565262 lr=0.029291 Batch [0049]/[0303]: acc-top1=45.406250 acc-top5=69.250000 Batch [0099]/[0303]: acc-top1=42.187500 acc-top5=67.187500 Batch [0149]/[0303]: acc-top1=43.531250 acc-top5=68.520833 Batch [0199]/[0303]: acc-top1=45.523438 acc-top5=69.937500 Batch [0249]/[0303]: acc-top1=44.812500 acc-top5=70.043750 Batch [0299]/[0303]: acc-top1=43.927083 acc-top5=69.838542 [Epoch 136] training: accuracy=42.696695 loss=2.565173 [Epoch 136] speed: 163 samples/sec time cost: 1589.083800 [Epoch 136] validation: acc-top1=43.827351 acc-top5=69.740099 loss=2.690083 Epoch[137] Batch [0049]/[3760] Speed: 116.384951 samples/sec accuracy=43.750000 loss=2.508255 lr=0.029277 Epoch[137] Batch [0099]/[3760] Speed: 164.358309 samples/sec accuracy=43.312500 loss=2.519703 lr=0.029265 Epoch[137] Batch [0149]/[3760] Speed: 165.855263 samples/sec accuracy=43.291667 loss=2.518010 lr=0.029253 Epoch[137] Batch [0199]/[3760] 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accuracy=43.043269 loss=2.528870 lr=0.029136 Epoch[137] Batch [0699]/[3760] Speed: 164.364119 samples/sec accuracy=42.993304 loss=2.532405 lr=0.029124 Epoch[137] Batch [0749]/[3760] Speed: 163.662343 samples/sec accuracy=43.085417 loss=2.532347 lr=0.029112 Epoch[137] Batch [0799]/[3760] Speed: 166.210486 samples/sec accuracy=43.142578 loss=2.529418 lr=0.029101 Epoch[137] Batch [0849]/[3760] Speed: 165.980055 samples/sec accuracy=43.165441 loss=2.525197 lr=0.029089 Epoch[137] Batch [0899]/[3760] Speed: 164.450065 samples/sec accuracy=43.140625 loss=2.527657 lr=0.029077 Epoch[137] Batch [0949]/[3760] Speed: 164.660345 samples/sec accuracy=43.108553 loss=2.531093 lr=0.029066 Epoch[137] Batch [0999]/[3760] Speed: 164.049319 samples/sec accuracy=43.065625 loss=2.533794 lr=0.029054 Epoch[137] Batch [1049]/[3760] Speed: 164.710343 samples/sec accuracy=43.139881 loss=2.530445 lr=0.029042 Epoch[137] Batch [1099]/[3760] Speed: 162.830983 samples/sec accuracy=43.146307 loss=2.529067 lr=0.029030 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accuracy=43.032812 loss=2.540896 lr=0.028587 Epoch[137] Batch [3049]/[3760] Speed: 164.395449 samples/sec accuracy=43.039447 loss=2.540692 lr=0.028575 Epoch[137] Batch [3099]/[3760] Speed: 163.480062 samples/sec accuracy=43.029234 loss=2.541861 lr=0.028563 Epoch[137] Batch [3149]/[3760] Speed: 165.058735 samples/sec accuracy=43.055556 loss=2.541569 lr=0.028552 Epoch[137] Batch [3199]/[3760] Speed: 162.273869 samples/sec accuracy=43.024902 loss=2.542609 lr=0.028540 Epoch[137] Batch [3249]/[3760] Speed: 164.823150 samples/sec accuracy=43.052404 loss=2.541752 lr=0.028528 Epoch[137] Batch [3299]/[3760] Speed: 162.641602 samples/sec accuracy=43.057292 loss=2.541407 lr=0.028517 Epoch[137] Batch [3349]/[3760] Speed: 163.648837 samples/sec accuracy=43.071362 loss=2.541134 lr=0.028505 Epoch[137] Batch [3399]/[3760] Speed: 163.465052 samples/sec accuracy=43.060202 loss=2.540963 lr=0.028493 Epoch[137] Batch [3449]/[3760] Speed: 163.710992 samples/sec accuracy=43.055707 loss=2.541074 lr=0.028482 Epoch[137] Batch [3499]/[3760] Speed: 161.467830 samples/sec accuracy=43.043304 loss=2.541030 lr=0.028470 Epoch[137] Batch [3549]/[3760] Speed: 164.712142 samples/sec accuracy=43.038732 loss=2.541471 lr=0.028458 Epoch[137] Batch [3599]/[3760] Speed: 163.560292 samples/sec accuracy=43.041667 loss=2.541493 lr=0.028447 Epoch[137] Batch [3649]/[3760] Speed: 164.382901 samples/sec accuracy=43.045377 loss=2.541589 lr=0.028435 Epoch[137] Batch [3699]/[3760] Speed: 163.032082 samples/sec accuracy=43.046453 loss=2.541929 lr=0.028424 Epoch[137] Batch [3749]/[3760] Speed: 175.861536 samples/sec accuracy=43.044583 loss=2.542174 lr=0.028412 Batch [0049]/[0303]: acc-top1=43.406250 acc-top5=68.812500 Batch [0099]/[0303]: acc-top1=40.484375 acc-top5=67.109375 Batch [0149]/[0303]: acc-top1=41.937500 acc-top5=68.218750 Batch [0199]/[0303]: acc-top1=44.843750 acc-top5=69.867188 Batch [0249]/[0303]: acc-top1=44.537500 acc-top5=69.831250 Batch [0299]/[0303]: acc-top1=44.208333 acc-top5=69.906250 [Epoch 137] training: accuracy=43.050199 loss=2.541717 [Epoch 137] speed: 163 samples/sec time cost: 1588.605669 [Epoch 137] validation: acc-top1=44.121287 acc-top5=69.889645 loss=2.696017 Epoch[138] Batch [0049]/[3760] Speed: 113.444646 samples/sec accuracy=43.593750 loss=2.515762 lr=0.028398 Epoch[138] Batch [0099]/[3760] Speed: 167.507523 samples/sec accuracy=43.906250 loss=2.501067 lr=0.028386 Epoch[138] Batch [0149]/[3760] Speed: 163.229098 samples/sec accuracy=44.416667 loss=2.471338 lr=0.028375 Epoch[138] Batch [0199]/[3760] Speed: 162.497950 samples/sec accuracy=44.453125 loss=2.462435 lr=0.028363 Epoch[138] Batch [0249]/[3760] Speed: 162.924686 samples/sec accuracy=44.193750 loss=2.474873 lr=0.028351 Epoch[138] Batch [0299]/[3760] Speed: 160.844815 samples/sec accuracy=44.182292 loss=2.476299 lr=0.028340 Epoch[138] Batch [0349]/[3760] Speed: 164.859497 samples/sec accuracy=44.022321 loss=2.481037 lr=0.028328 Epoch[138] Batch [0399]/[3760] Speed: 162.495624 samples/sec accuracy=43.933594 loss=2.489921 lr=0.028317 Epoch[138] Batch [0449]/[3760] Speed: 164.140187 samples/sec accuracy=43.829861 loss=2.496412 lr=0.028305 Epoch[138] Batch [0499]/[3760] Speed: 165.917359 samples/sec accuracy=43.759375 loss=2.503200 lr=0.028293 Epoch[138] Batch [0549]/[3760] Speed: 163.281341 samples/sec accuracy=43.664773 loss=2.504361 lr=0.028282 Epoch[138] Batch [0599]/[3760] Speed: 162.845839 samples/sec accuracy=43.648438 loss=2.508337 lr=0.028270 Epoch[138] Batch [0649]/[3760] Speed: 164.309831 samples/sec accuracy=43.646635 loss=2.506910 lr=0.028258 Epoch[138] Batch [0699]/[3760] Speed: 156.661326 samples/sec accuracy=43.738839 loss=2.502558 lr=0.028247 Epoch[138] Batch [0749]/[3760] Speed: 165.447076 samples/sec accuracy=43.797917 loss=2.501366 lr=0.028235 Epoch[138] Batch [0799]/[3760] Speed: 163.407298 samples/sec accuracy=43.767578 loss=2.503813 lr=0.028224 Epoch[138] Batch [0849]/[3760] Speed: 163.224169 samples/sec accuracy=43.639706 loss=2.510047 lr=0.028212 Epoch[138] Batch [0899]/[3760] Speed: 164.663533 samples/sec accuracy=43.710069 loss=2.507263 lr=0.028200 Epoch[138] Batch [0949]/[3760] Speed: 163.150956 samples/sec accuracy=43.708882 loss=2.507157 lr=0.028189 Epoch[138] Batch [0999]/[3760] Speed: 165.195289 samples/sec accuracy=43.742188 loss=2.508111 lr=0.028177 Epoch[138] Batch [1049]/[3760] Speed: 164.335462 samples/sec accuracy=43.715774 loss=2.507550 lr=0.028166 Epoch[138] Batch [1099]/[3760] Speed: 163.332809 samples/sec accuracy=43.704545 loss=2.508023 lr=0.028154 Epoch[138] Batch [1149]/[3760] Speed: 165.331568 samples/sec accuracy=43.747283 loss=2.506901 lr=0.028142 Epoch[138] Batch [1199]/[3760] Speed: 164.058776 samples/sec accuracy=43.692708 loss=2.509113 lr=0.028131 Epoch[138] Batch [1249]/[3760] Speed: 163.374351 samples/sec accuracy=43.707500 loss=2.510449 lr=0.028119 Epoch[138] Batch [1299]/[3760] Speed: 163.096567 samples/sec accuracy=43.703125 loss=2.512514 lr=0.028108 Epoch[138] Batch [1349]/[3760] Speed: 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loss=2.516425 lr=0.027992 Epoch[138] Batch [1849]/[3760] Speed: 163.071700 samples/sec accuracy=43.623311 loss=2.515663 lr=0.027980 Epoch[138] Batch [1899]/[3760] Speed: 164.798133 samples/sec accuracy=43.587993 loss=2.515919 lr=0.027969 Epoch[138] Batch [1949]/[3760] Speed: 163.494721 samples/sec accuracy=43.614583 loss=2.514908 lr=0.027957 Epoch[138] Batch [1999]/[3760] Speed: 161.996569 samples/sec accuracy=43.603906 loss=2.514570 lr=0.027945 Epoch[138] Batch [2049]/[3760] Speed: 161.739554 samples/sec accuracy=43.568598 loss=2.516861 lr=0.027934 Epoch[138] Batch [2099]/[3760] Speed: 163.975911 samples/sec accuracy=43.532738 loss=2.518174 lr=0.027922 Epoch[138] Batch [2149]/[3760] Speed: 163.147585 samples/sec accuracy=43.539971 loss=2.517905 lr=0.027911 Epoch[138] Batch [2199]/[3760] Speed: 162.601450 samples/sec accuracy=43.492188 loss=2.520351 lr=0.027899 Epoch[138] Batch [2249]/[3760] Speed: 162.962926 samples/sec accuracy=43.472222 loss=2.521181 lr=0.027888 Epoch[138] Batch 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accuracy=43.438636 loss=2.521665 lr=0.027772 Epoch[138] Batch [2799]/[3760] Speed: 163.325970 samples/sec accuracy=43.433036 loss=2.521125 lr=0.027760 Epoch[138] Batch [2849]/[3760] Speed: 163.745235 samples/sec accuracy=43.429825 loss=2.522110 lr=0.027749 Epoch[138] Batch [2899]/[3760] Speed: 164.458762 samples/sec accuracy=43.448276 loss=2.521905 lr=0.027737 Epoch[138] Batch [2949]/[3760] Speed: 164.566061 samples/sec accuracy=43.442267 loss=2.522511 lr=0.027726 Epoch[138] Batch [2999]/[3760] Speed: 161.924697 samples/sec accuracy=43.419792 loss=2.522306 lr=0.027714 Epoch[138] Batch [3049]/[3760] Speed: 163.755913 samples/sec accuracy=43.448258 loss=2.521148 lr=0.027703 Epoch[138] Batch [3099]/[3760] Speed: 163.807826 samples/sec accuracy=43.426915 loss=2.521951 lr=0.027691 Epoch[138] Batch [3149]/[3760] Speed: 164.723098 samples/sec accuracy=43.422619 loss=2.521700 lr=0.027680 Epoch[138] Batch [3199]/[3760] Speed: 164.163893 samples/sec accuracy=43.403320 loss=2.522427 lr=0.027668 Epoch[138] Batch [3249]/[3760] Speed: 163.768921 samples/sec accuracy=43.403846 loss=2.522493 lr=0.027657 Epoch[138] Batch [3299]/[3760] Speed: 163.389763 samples/sec accuracy=43.397727 loss=2.523088 lr=0.027645 Epoch[138] Batch [3349]/[3760] Speed: 163.670224 samples/sec accuracy=43.396922 loss=2.523230 lr=0.027633 Epoch[138] Batch [3399]/[3760] Speed: 164.483618 samples/sec accuracy=43.414982 loss=2.522559 lr=0.027622 Epoch[138] Batch [3449]/[3760] Speed: 164.184722 samples/sec accuracy=43.419837 loss=2.522338 lr=0.027610 Epoch[138] Batch [3499]/[3760] Speed: 162.816249 samples/sec accuracy=43.449107 loss=2.521378 lr=0.027599 Epoch[138] Batch [3549]/[3760] Speed: 164.326492 samples/sec accuracy=43.453345 loss=2.522421 lr=0.027587 Epoch[138] Batch [3599]/[3760] Speed: 165.267718 samples/sec accuracy=43.458767 loss=2.522126 lr=0.027576 Epoch[138] Batch [3649]/[3760] Speed: 162.770039 samples/sec accuracy=43.455479 loss=2.522621 lr=0.027564 Epoch[138] Batch [3699]/[3760] Speed: 163.375799 samples/sec accuracy=43.467483 loss=2.522099 lr=0.027553 Epoch[138] Batch [3749]/[3760] Speed: 175.074995 samples/sec accuracy=43.457083 loss=2.521845 lr=0.027541 Batch [0049]/[0303]: acc-top1=44.562500 acc-top5=68.531250 Batch [0099]/[0303]: acc-top1=41.609375 acc-top5=67.187500 Batch [0149]/[0303]: acc-top1=43.208333 acc-top5=68.375000 Batch [0199]/[0303]: acc-top1=46.054688 acc-top5=70.250000 Batch [0249]/[0303]: acc-top1=45.343750 acc-top5=70.350000 Batch [0299]/[0303]: acc-top1=45.031250 acc-top5=70.541667 [Epoch 138] training: accuracy=43.455785 loss=2.522092 [Epoch 138] speed: 162 samples/sec time cost: 1593.173501 [Epoch 138] validation: acc-top1=45.003094 acc-top5=70.523927 loss=2.613912 Epoch[139] Batch [0049]/[3759] Speed: 114.957505 samples/sec accuracy=44.750000 loss=2.462592 lr=0.027527 Epoch[139] Batch [0099]/[3759] Speed: 163.526292 samples/sec accuracy=43.484375 loss=2.500394 lr=0.027516 Epoch[139] Batch [0149]/[3759] Speed: 164.826832 samples/sec accuracy=43.760417 loss=2.503300 lr=0.027504 Epoch[139] Batch [0199]/[3759] Speed: 161.545329 samples/sec accuracy=43.937500 loss=2.500864 lr=0.027493 Epoch[139] Batch [0249]/[3759] Speed: 164.819448 samples/sec accuracy=43.818750 loss=2.498959 lr=0.027481 Epoch[139] Batch [0299]/[3759] Speed: 164.214669 samples/sec accuracy=43.984375 loss=2.491476 lr=0.027470 Epoch[139] Batch [0349]/[3759] Speed: 165.523184 samples/sec accuracy=44.026786 loss=2.495045 lr=0.027458 Epoch[139] Batch [0399]/[3759] Speed: 166.271827 samples/sec accuracy=43.945312 loss=2.492454 lr=0.027447 Epoch[139] Batch [0449]/[3759] Speed: 164.906961 samples/sec accuracy=43.840278 loss=2.499845 lr=0.027435 Epoch[139] Batch [0499]/[3759] Speed: 165.759793 samples/sec accuracy=43.940625 loss=2.497636 lr=0.027424 Epoch[139] Batch [0549]/[3759] Speed: 162.974839 samples/sec accuracy=43.866477 loss=2.497270 lr=0.027412 Epoch[139] Batch [0599]/[3759] Speed: 164.162325 samples/sec accuracy=43.755208 loss=2.498834 lr=0.027401 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Batch [0299]/[0303]: acc-top1=45.171875 acc-top5=70.937500 [Epoch 139] training: accuracy=43.636938 loss=2.507699 [Epoch 139] speed: 163 samples/sec time cost: 1586.074929 [Epoch 139] validation: acc-top1=45.090759 acc-top5=70.915842 loss=2.596350 Epoch[140] Batch [0049]/[3760] Speed: 115.637528 samples/sec accuracy=45.000000 loss=2.424482 lr=0.026666 Epoch[140] Batch [0099]/[3760] Speed: 163.642784 samples/sec accuracy=44.906250 loss=2.426879 lr=0.026654 Epoch[140] Batch [0149]/[3760] Speed: 163.082560 samples/sec accuracy=44.968750 loss=2.433509 lr=0.026643 Epoch[140] Batch [0199]/[3760] Speed: 162.318865 samples/sec accuracy=44.632812 loss=2.453110 lr=0.026631 Epoch[140] Batch [0249]/[3760] Speed: 165.879994 samples/sec accuracy=44.356250 loss=2.470977 lr=0.026620 Epoch[140] Batch [0299]/[3760] Speed: 164.337738 samples/sec accuracy=44.177083 loss=2.476482 lr=0.026608 Epoch[140] Batch [0349]/[3760] Speed: 165.711629 samples/sec accuracy=44.263393 loss=2.467377 lr=0.026597 Epoch[140] 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accuracy=44.134722 loss=2.487013 lr=0.026165 Epoch[140] Batch [2299]/[3760] Speed: 163.387664 samples/sec accuracy=44.123641 loss=2.488409 lr=0.026154 Epoch[140] Batch [2349]/[3760] Speed: 165.297402 samples/sec accuracy=44.092420 loss=2.488954 lr=0.026142 Epoch[140] Batch [2399]/[3760] Speed: 162.529902 samples/sec accuracy=44.065104 loss=2.490227 lr=0.026131 Epoch[140] Batch [2449]/[3760] Speed: 164.776122 samples/sec accuracy=44.026148 loss=2.491466 lr=0.026120 Epoch[140] Batch [2499]/[3760] Speed: 163.631619 samples/sec accuracy=44.053125 loss=2.489646 lr=0.026108 Epoch[140] Batch [2549]/[3760] Speed: 164.728130 samples/sec accuracy=44.072917 loss=2.488816 lr=0.026097 Epoch[140] Batch [2599]/[3760] Speed: 165.654395 samples/sec accuracy=44.066106 loss=2.489068 lr=0.026086 Epoch[140] Batch [2649]/[3760] Speed: 164.648437 samples/sec accuracy=44.041274 loss=2.490169 lr=0.026074 Epoch[140] Batch [2699]/[3760] Speed: 164.932969 samples/sec accuracy=43.997106 loss=2.491150 lr=0.026063 Epoch[140] Batch [2749]/[3760] Speed: 163.768729 samples/sec accuracy=44.027841 loss=2.490363 lr=0.026052 Epoch[140] Batch [2799]/[3760] Speed: 162.627894 samples/sec accuracy=44.025112 loss=2.490343 lr=0.026040 Epoch[140] Batch [2849]/[3760] Speed: 163.997818 samples/sec accuracy=44.020285 loss=2.490665 lr=0.026029 Epoch[140] Batch [2899]/[3760] Speed: 164.667634 samples/sec accuracy=44.008621 loss=2.492216 lr=0.026018 Epoch[140] Batch [2949]/[3760] Speed: 164.088685 samples/sec accuracy=44.018008 loss=2.491838 lr=0.026007 Epoch[140] Batch [2999]/[3760] Speed: 163.762968 samples/sec accuracy=44.001042 loss=2.493008 lr=0.025995 Epoch[140] Batch [3049]/[3760] Speed: 163.098438 samples/sec accuracy=44.003586 loss=2.492604 lr=0.025984 Epoch[140] Batch [3099]/[3760] Speed: 164.891791 samples/sec accuracy=43.984375 loss=2.494326 lr=0.025973 Epoch[140] Batch [3149]/[3760] Speed: 163.190084 samples/sec accuracy=43.994048 loss=2.493808 lr=0.025961 Epoch[140] Batch [3199]/[3760] Speed: 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loss=2.495742 lr=0.025848 Epoch[140] Batch [3699]/[3760] Speed: 163.202528 samples/sec accuracy=43.987753 loss=2.496429 lr=0.025837 Epoch[140] Batch [3749]/[3760] Speed: 177.038055 samples/sec accuracy=43.995417 loss=2.496099 lr=0.025826 Batch [0049]/[0303]: acc-top1=43.125000 acc-top5=68.218750 Batch [0099]/[0303]: acc-top1=40.203125 acc-top5=66.921875 Batch [0149]/[0303]: acc-top1=42.041667 acc-top5=68.218750 Batch [0199]/[0303]: acc-top1=45.109375 acc-top5=70.070312 Batch [0249]/[0303]: acc-top1=44.193750 acc-top5=69.931250 Batch [0299]/[0303]: acc-top1=43.859375 acc-top5=70.145833 [Epoch 140] training: accuracy=44.002660 loss=2.496061 [Epoch 140] speed: 163 samples/sec time cost: 1586.773315 [Epoch 140] validation: acc-top1=43.822195 acc-top5=70.126856 loss=2.722519 Epoch[141] Batch [0049]/[3760] Speed: 114.890761 samples/sec accuracy=43.375000 loss=2.524914 lr=0.025812 Epoch[141] Batch [0099]/[3760] Speed: 167.305080 samples/sec accuracy=43.578125 loss=2.506936 lr=0.025801 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loss=2.477677 lr=0.025060 Epoch[141] Batch [3449]/[3760] Speed: 164.907711 samples/sec accuracy=44.286232 loss=2.477762 lr=0.025048 Epoch[141] Batch [3499]/[3760] Speed: 163.319715 samples/sec accuracy=44.289732 loss=2.478372 lr=0.025037 Epoch[141] Batch [3549]/[3760] Speed: 165.715647 samples/sec accuracy=44.296215 loss=2.479110 lr=0.025026 Epoch[141] Batch [3599]/[3760] Speed: 164.718499 samples/sec accuracy=44.294705 loss=2.478958 lr=0.025015 Epoch[141] Batch [3649]/[3760] Speed: 164.181205 samples/sec accuracy=44.305223 loss=2.478746 lr=0.025004 Epoch[141] Batch [3699]/[3760] Speed: 163.953144 samples/sec accuracy=44.302787 loss=2.479290 lr=0.024992 Epoch[141] Batch [3749]/[3760] Speed: 176.381738 samples/sec accuracy=44.289167 loss=2.479764 lr=0.024981 Batch [0049]/[0303]: acc-top1=45.843750 acc-top5=71.125000 Batch [0099]/[0303]: acc-top1=43.515625 acc-top5=69.687500 Batch [0149]/[0303]: acc-top1=44.270833 acc-top5=70.291667 Batch [0199]/[0303]: acc-top1=47.257812 acc-top5=72.179688 Batch [0249]/[0303]: acc-top1=46.456250 acc-top5=72.050000 Batch [0299]/[0303]: acc-top1=45.703125 acc-top5=71.755208 [Epoch 141] training: accuracy=44.288979 loss=2.479767 [Epoch 141] speed: 163 samples/sec time cost: 1585.750522 [Epoch 141] validation: acc-top1=45.688944 acc-top5=71.746081 loss=2.579595 Epoch[142] Batch [0049]/[3759] Speed: 114.434487 samples/sec accuracy=45.718750 loss=2.408186 lr=0.024968 Epoch[142] Batch [0099]/[3759] Speed: 163.579824 samples/sec accuracy=45.281250 loss=2.421301 lr=0.024957 Epoch[142] Batch [0149]/[3759] Speed: 165.905696 samples/sec accuracy=44.697917 loss=2.436419 lr=0.024946 Epoch[142] Batch [0199]/[3759] Speed: 163.835158 samples/sec accuracy=44.804688 loss=2.428886 lr=0.024934 Epoch[142] Batch [0249]/[3759] Speed: 164.687693 samples/sec accuracy=44.806250 loss=2.428941 lr=0.024923 Epoch[142] Batch [0299]/[3759] Speed: 164.524052 samples/sec accuracy=44.822917 loss=2.432657 lr=0.024912 Epoch[142] Batch [0349]/[3759] Speed: 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[3649]/[3759] Speed: 162.851488 samples/sec accuracy=44.712757 loss=2.458233 lr=0.024168 Epoch[142] Batch [3699]/[3759] Speed: 163.646577 samples/sec accuracy=44.701858 loss=2.458383 lr=0.024157 Epoch[142] Batch [3749]/[3759] Speed: 175.950301 samples/sec accuracy=44.717917 loss=2.457665 lr=0.024146 Batch [0049]/[0303]: acc-top1=48.218750 acc-top5=72.093750 Batch [0099]/[0303]: acc-top1=44.546875 acc-top5=70.171875 Batch [0149]/[0303]: acc-top1=44.937500 acc-top5=70.270833 Batch [0199]/[0303]: acc-top1=47.562500 acc-top5=72.210938 Batch [0249]/[0303]: acc-top1=46.950000 acc-top5=72.087500 Batch [0299]/[0303]: acc-top1=46.218750 acc-top5=71.932292 [Epoch 142] training: accuracy=44.716846 loss=2.457853 [Epoch 142] speed: 163 samples/sec time cost: 1586.400612 [Epoch 142] validation: acc-top1=46.168523 acc-top5=71.890470 loss=2.593180 Epoch[143] Batch [0049]/[3760] Speed: 115.085924 samples/sec accuracy=45.687500 loss=2.384542 lr=0.024133 Epoch[143] Batch [0099]/[3760] Speed: 164.439943 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acc-top5=70.114583 Batch [0199]/[0303]: acc-top1=47.625000 acc-top5=72.015625 Batch [0249]/[0303]: acc-top1=46.956250 acc-top5=71.856250 Batch [0299]/[0303]: acc-top1=46.447917 acc-top5=71.869792 [Epoch 143] training: accuracy=44.941822 loss=2.447370 [Epoch 143] speed: 163 samples/sec time cost: 1586.863076 [Epoch 143] validation: acc-top1=46.452145 acc-top5=71.890470 loss=2.557085 Epoch[144] Batch [0049]/[3760] Speed: 114.734952 samples/sec accuracy=47.218750 loss=2.316726 lr=0.023308 Epoch[144] Batch [0099]/[3760] Speed: 164.205952 samples/sec accuracy=46.171875 loss=2.368768 lr=0.023297 Epoch[144] Batch [0149]/[3760] Speed: 164.901742 samples/sec accuracy=45.843750 loss=2.395794 lr=0.023286 Epoch[144] Batch [0199]/[3760] Speed: 162.744001 samples/sec accuracy=45.953125 loss=2.407154 lr=0.023276 Epoch[144] Batch [0249]/[3760] Speed: 163.601288 samples/sec accuracy=45.893750 loss=2.407096 lr=0.023265 Epoch[144] Batch [0299]/[3760] Speed: 165.991228 samples/sec accuracy=45.723958 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accuracy=45.387500 loss=2.423499 lr=0.023047 Epoch[144] Batch [1299]/[3760] Speed: 163.678429 samples/sec accuracy=45.399038 loss=2.423586 lr=0.023036 Epoch[144] Batch [1349]/[3760] Speed: 163.565168 samples/sec accuracy=45.421296 loss=2.423446 lr=0.023025 Epoch[144] Batch [1399]/[3760] Speed: 166.116975 samples/sec accuracy=45.421875 loss=2.424266 lr=0.023014 Epoch[144] Batch [1449]/[3760] Speed: 163.969961 samples/sec accuracy=45.414871 loss=2.424888 lr=0.023004 Epoch[144] Batch [1499]/[3760] Speed: 161.885033 samples/sec accuracy=45.402083 loss=2.425300 lr=0.022993 Epoch[144] Batch [1549]/[3760] Speed: 163.266103 samples/sec accuracy=45.399194 loss=2.425283 lr=0.022982 Epoch[144] Batch [1599]/[3760] Speed: 163.761172 samples/sec accuracy=45.353516 loss=2.426094 lr=0.022971 Epoch[144] Batch [1649]/[3760] Speed: 165.157868 samples/sec accuracy=45.300189 loss=2.427145 lr=0.022960 Epoch[144] Batch [1699]/[3760] Speed: 163.470121 samples/sec accuracy=45.313419 loss=2.426553 lr=0.022949 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loss=2.431205 lr=0.022744 Epoch[144] Batch [2699]/[3760] Speed: 161.969783 samples/sec accuracy=45.216435 loss=2.432551 lr=0.022733 Epoch[144] Batch [2749]/[3760] Speed: 165.263359 samples/sec accuracy=45.241477 loss=2.431744 lr=0.022722 Epoch[144] Batch [2799]/[3760] Speed: 165.409863 samples/sec accuracy=45.241629 loss=2.431759 lr=0.022711 Epoch[144] Batch [2849]/[3760] Speed: 163.500242 samples/sec accuracy=45.264254 loss=2.431215 lr=0.022700 Epoch[144] Batch [2899]/[3760] Speed: 165.072521 samples/sec accuracy=45.259698 loss=2.431800 lr=0.022689 Epoch[144] Batch [2949]/[3760] Speed: 164.664719 samples/sec accuracy=45.238877 loss=2.432309 lr=0.022679 Epoch[144] Batch [2999]/[3760] Speed: 165.201114 samples/sec accuracy=45.224479 loss=2.432697 lr=0.022668 Epoch[144] Batch [3049]/[3760] Speed: 162.253583 samples/sec accuracy=45.227971 loss=2.432712 lr=0.022657 Epoch[144] Batch [3099]/[3760] Speed: 163.982193 samples/sec accuracy=45.232863 loss=2.432410 lr=0.022646 Epoch[144] Batch 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accuracy=45.239583 loss=2.432360 lr=0.022538 Epoch[144] Batch [3649]/[3760] Speed: 163.368895 samples/sec accuracy=45.257277 loss=2.431514 lr=0.022528 Epoch[144] Batch [3699]/[3760] Speed: 164.287467 samples/sec accuracy=45.254645 loss=2.430813 lr=0.022517 Epoch[144] Batch [3749]/[3760] Speed: 174.723973 samples/sec accuracy=45.252083 loss=2.431203 lr=0.022506 Batch [0049]/[0303]: acc-top1=47.375000 acc-top5=71.750000 Batch [0099]/[0303]: acc-top1=44.437500 acc-top5=69.921875 Batch [0149]/[0303]: acc-top1=45.604167 acc-top5=70.875000 Batch [0199]/[0303]: acc-top1=47.929688 acc-top5=72.531250 Batch [0249]/[0303]: acc-top1=47.287500 acc-top5=72.187500 Batch [0299]/[0303]: acc-top1=46.932292 acc-top5=72.270833 [Epoch 144] training: accuracy=45.248088 loss=2.431137 [Epoch 144] speed: 163 samples/sec time cost: 1589.473236 [Epoch 144] validation: acc-top1=46.869843 acc-top5=72.225660 loss=2.502170 Epoch[145] Batch [0049]/[3759] Speed: 115.060883 samples/sec accuracy=45.718750 loss=2.417527 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accuracy=45.875933 loss=2.405234 lr=0.021786 Epoch[145] Batch [3399]/[3759] Speed: 164.835707 samples/sec accuracy=45.864430 loss=2.405727 lr=0.021776 Epoch[145] Batch [3449]/[3759] Speed: 164.990369 samples/sec accuracy=45.871830 loss=2.405260 lr=0.021765 Epoch[145] Batch [3499]/[3759] Speed: 165.364712 samples/sec accuracy=45.851339 loss=2.406268 lr=0.021754 Epoch[145] Batch [3549]/[3759] Speed: 163.933193 samples/sec accuracy=45.841549 loss=2.406680 lr=0.021744 Epoch[145] Batch [3599]/[3759] Speed: 162.946343 samples/sec accuracy=45.824219 loss=2.407041 lr=0.021733 Epoch[145] Batch [3649]/[3759] Speed: 163.450747 samples/sec accuracy=45.819777 loss=2.406387 lr=0.021722 Epoch[145] Batch [3699]/[3759] Speed: 164.972831 samples/sec accuracy=45.821791 loss=2.407147 lr=0.021712 Epoch[145] Batch [3749]/[3759] Speed: 177.016100 samples/sec accuracy=45.803750 loss=2.408225 lr=0.021701 Batch [0049]/[0303]: acc-top1=47.406250 acc-top5=71.687500 Batch [0099]/[0303]: acc-top1=45.234375 acc-top5=69.796875 Batch [0149]/[0303]: acc-top1=46.385417 acc-top5=70.562500 Batch [0199]/[0303]: acc-top1=48.375000 acc-top5=72.445312 Batch [0249]/[0303]: acc-top1=47.675000 acc-top5=72.181250 Batch [0299]/[0303]: acc-top1=47.265625 acc-top5=72.270833 [Epoch 145] training: accuracy=45.799248 loss=2.408403 [Epoch 145] speed: 163 samples/sec time cost: 1588.600790 [Epoch 145] validation: acc-top1=47.153465 acc-top5=72.230817 loss=2.488485 Epoch[146] Batch [0049]/[3760] Speed: 114.904577 samples/sec accuracy=45.937500 loss=2.357617 lr=0.021689 Epoch[146] Batch [0099]/[3760] Speed: 163.129855 samples/sec accuracy=46.109375 loss=2.374096 lr=0.021678 Epoch[146] Batch [0149]/[3760] Speed: 163.247943 samples/sec accuracy=45.697917 loss=2.396844 lr=0.021667 Epoch[146] Batch [0199]/[3760] Speed: 163.571776 samples/sec accuracy=45.531250 loss=2.393822 lr=0.021657 Epoch[146] Batch [0249]/[3760] Speed: 165.599548 samples/sec accuracy=45.618750 loss=2.395023 lr=0.021646 Epoch[146] Batch 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accuracy=46.031250 loss=2.386912 lr=0.021540 Epoch[146] Batch [0799]/[3760] Speed: 165.339723 samples/sec accuracy=46.035156 loss=2.386049 lr=0.021529 Epoch[146] Batch [0849]/[3760] Speed: 163.363641 samples/sec accuracy=46.056985 loss=2.386969 lr=0.021519 Epoch[146] Batch [0899]/[3760] Speed: 163.099815 samples/sec accuracy=46.138889 loss=2.383338 lr=0.021508 Epoch[146] Batch [0949]/[3760] Speed: 164.367934 samples/sec accuracy=46.098684 loss=2.383468 lr=0.021498 Epoch[146] Batch [0999]/[3760] Speed: 164.254482 samples/sec accuracy=46.114063 loss=2.381270 lr=0.021487 Epoch[146] Batch [1049]/[3760] Speed: 163.498009 samples/sec accuracy=46.083333 loss=2.383015 lr=0.021476 Epoch[146] Batch [1099]/[3760] Speed: 165.047969 samples/sec accuracy=46.123580 loss=2.383005 lr=0.021466 Epoch[146] Batch [1149]/[3760] Speed: 162.741256 samples/sec accuracy=46.086957 loss=2.384457 lr=0.021455 Epoch[146] Batch [1199]/[3760] Speed: 165.269834 samples/sec accuracy=46.065104 loss=2.386178 lr=0.021445 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loss=2.391615 lr=0.021244 Epoch[146] Batch [2199]/[3760] Speed: 164.135608 samples/sec accuracy=45.985795 loss=2.392799 lr=0.021233 Epoch[146] Batch [2249]/[3760] Speed: 163.315316 samples/sec accuracy=45.946528 loss=2.394915 lr=0.021223 Epoch[146] Batch [2299]/[3760] Speed: 164.729368 samples/sec accuracy=45.966033 loss=2.394033 lr=0.021212 Epoch[146] Batch [2349]/[3760] Speed: 164.041365 samples/sec accuracy=45.955452 loss=2.394986 lr=0.021202 Epoch[146] Batch [2399]/[3760] Speed: 163.177752 samples/sec accuracy=45.943359 loss=2.395813 lr=0.021191 Epoch[146] Batch [2449]/[3760] Speed: 162.786504 samples/sec accuracy=45.913265 loss=2.395744 lr=0.021181 Epoch[146] Batch [2499]/[3760] Speed: 164.269306 samples/sec accuracy=45.926875 loss=2.394376 lr=0.021170 Epoch[146] Batch [2549]/[3760] Speed: 163.897248 samples/sec accuracy=45.936275 loss=2.393970 lr=0.021160 Epoch[146] Batch [2599]/[3760] Speed: 164.513822 samples/sec accuracy=45.936298 loss=2.393858 lr=0.021149 Epoch[146] Batch 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accuracy=46.012601 loss=2.393075 lr=0.021044 Epoch[146] Batch [3149]/[3760] Speed: 165.016997 samples/sec accuracy=45.997024 loss=2.393070 lr=0.021033 Epoch[146] Batch [3199]/[3760] Speed: 162.131139 samples/sec accuracy=46.000977 loss=2.392678 lr=0.021023 Epoch[146] Batch [3249]/[3760] Speed: 165.022771 samples/sec accuracy=46.024519 loss=2.391189 lr=0.021012 Epoch[146] Batch [3299]/[3760] Speed: 164.725949 samples/sec accuracy=46.005208 loss=2.391982 lr=0.021002 Epoch[146] Batch [3349]/[3760] Speed: 162.713438 samples/sec accuracy=46.002332 loss=2.392331 lr=0.020991 Epoch[146] Batch [3399]/[3760] Speed: 164.315001 samples/sec accuracy=46.000460 loss=2.391354 lr=0.020981 Epoch[146] Batch [3449]/[3760] Speed: 164.469840 samples/sec accuracy=46.021286 loss=2.389874 lr=0.020970 Epoch[146] Batch [3499]/[3760] Speed: 162.027855 samples/sec accuracy=46.014732 loss=2.389719 lr=0.020960 Epoch[146] Batch [3549]/[3760] Speed: 163.624775 samples/sec accuracy=46.011884 loss=2.389721 lr=0.020949 Epoch[146] Batch [3599]/[3760] Speed: 164.541755 samples/sec accuracy=45.987413 loss=2.390947 lr=0.020939 Epoch[146] Batch [3649]/[3760] Speed: 165.084687 samples/sec accuracy=45.979880 loss=2.391303 lr=0.020928 Epoch[146] Batch [3699]/[3760] Speed: 166.050542 samples/sec accuracy=46.000000 loss=2.390896 lr=0.020918 Epoch[146] Batch [3749]/[3760] Speed: 175.166914 samples/sec accuracy=46.022083 loss=2.390637 lr=0.020907 Batch [0049]/[0303]: acc-top1=47.843750 acc-top5=71.531250 Batch [0099]/[0303]: acc-top1=44.296875 acc-top5=69.640625 Batch [0149]/[0303]: acc-top1=45.770833 acc-top5=70.385417 Batch [0199]/[0303]: acc-top1=48.687500 acc-top5=72.507812 Batch [0249]/[0303]: acc-top1=47.550000 acc-top5=72.231250 Batch [0299]/[0303]: acc-top1=46.869792 acc-top5=72.203125 [Epoch 146] training: accuracy=46.019781 loss=2.390620 [Epoch 146] speed: 163 samples/sec time cost: 1587.301464 [Epoch 146] validation: acc-top1=46.854373 acc-top5=72.163779 loss=2.518171 Epoch[147] Batch [0049]/[3760] Speed: 113.779606 samples/sec accuracy=47.062500 loss=2.338345 lr=0.020895 Epoch[147] Batch [0099]/[3760] Speed: 164.161973 samples/sec accuracy=47.328125 loss=2.322252 lr=0.020884 Epoch[147] Batch [0149]/[3760] Speed: 164.305231 samples/sec accuracy=46.916667 loss=2.339286 lr=0.020874 Epoch[147] Batch [0199]/[3760] Speed: 165.016922 samples/sec accuracy=46.703125 loss=2.350454 lr=0.020863 Epoch[147] Batch [0249]/[3760] Speed: 164.063631 samples/sec accuracy=46.668750 loss=2.348226 lr=0.020853 Epoch[147] Batch [0299]/[3760] Speed: 163.817415 samples/sec accuracy=46.713542 loss=2.343078 lr=0.020842 Epoch[147] Batch [0349]/[3760] Speed: 164.740177 samples/sec accuracy=46.651786 loss=2.347986 lr=0.020832 Epoch[147] Batch [0399]/[3760] Speed: 162.837227 samples/sec accuracy=46.613281 loss=2.352354 lr=0.020821 Epoch[147] Batch [0449]/[3760] Speed: 164.532303 samples/sec accuracy=46.673611 loss=2.346490 lr=0.020811 Epoch[147] Batch [0499]/[3760] Speed: 164.477146 samples/sec accuracy=46.731250 loss=2.344630 lr=0.020800 Epoch[147] Batch [0549]/[3760] Speed: 162.675076 samples/sec accuracy=46.747159 loss=2.344112 lr=0.020790 Epoch[147] Batch [0599]/[3760] Speed: 164.308478 samples/sec accuracy=46.718750 loss=2.345925 lr=0.020779 Epoch[147] Batch [0649]/[3760] Speed: 162.089397 samples/sec accuracy=46.774038 loss=2.342770 lr=0.020769 Epoch[147] Batch [0699]/[3760] Speed: 165.078067 samples/sec accuracy=46.823661 loss=2.344608 lr=0.020758 Epoch[147] Batch [0749]/[3760] Speed: 165.409796 samples/sec accuracy=46.793750 loss=2.345629 lr=0.020748 Epoch[147] Batch [0799]/[3760] Speed: 163.305793 samples/sec accuracy=46.730469 loss=2.349612 lr=0.020738 Epoch[147] Batch [0849]/[3760] Speed: 163.198831 samples/sec accuracy=46.757353 loss=2.349880 lr=0.020727 Epoch[147] Batch [0899]/[3760] Speed: 165.548753 samples/sec accuracy=46.762153 loss=2.350116 lr=0.020717 Epoch[147] Batch [0949]/[3760] Speed: 164.318596 samples/sec accuracy=46.812500 loss=2.350670 lr=0.020706 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accuracy=46.366776 loss=2.370617 lr=0.020310 Epoch[147] Batch [2899]/[3760] Speed: 163.664562 samples/sec accuracy=46.376078 loss=2.370283 lr=0.020300 Epoch[147] Batch [2949]/[3760] Speed: 164.570739 samples/sec accuracy=46.385593 loss=2.369990 lr=0.020290 Epoch[147] Batch [2999]/[3760] Speed: 163.220402 samples/sec accuracy=46.403125 loss=2.369238 lr=0.020279 Epoch[147] Batch [3049]/[3760] Speed: 164.003415 samples/sec accuracy=46.401127 loss=2.369237 lr=0.020269 Epoch[147] Batch [3099]/[3760] Speed: 163.160661 samples/sec accuracy=46.410282 loss=2.368545 lr=0.020259 Epoch[147] Batch [3149]/[3760] Speed: 165.111353 samples/sec accuracy=46.418651 loss=2.368970 lr=0.020248 Epoch[147] Batch [3199]/[3760] Speed: 164.943845 samples/sec accuracy=46.389160 loss=2.369946 lr=0.020238 Epoch[147] Batch [3249]/[3760] Speed: 166.198612 samples/sec accuracy=46.385096 loss=2.370145 lr=0.020227 Epoch[147] Batch [3299]/[3760] Speed: 162.671714 samples/sec accuracy=46.394886 loss=2.370191 lr=0.020217 Epoch[147] Batch [3349]/[3760] Speed: 164.119402 samples/sec accuracy=46.360075 loss=2.371951 lr=0.020207 Epoch[147] Batch [3399]/[3760] Speed: 164.413750 samples/sec accuracy=46.352022 loss=2.372153 lr=0.020196 Epoch[147] Batch [3449]/[3760] Speed: 164.666048 samples/sec accuracy=46.346467 loss=2.372267 lr=0.020186 Epoch[147] Batch [3499]/[3760] Speed: 164.938883 samples/sec accuracy=46.344643 loss=2.372678 lr=0.020176 Epoch[147] Batch [3549]/[3760] Speed: 163.062751 samples/sec accuracy=46.335827 loss=2.372831 lr=0.020165 Epoch[147] Batch [3599]/[3760] Speed: 165.432991 samples/sec accuracy=46.322049 loss=2.373109 lr=0.020155 Epoch[147] Batch [3649]/[3760] Speed: 165.223716 samples/sec accuracy=46.314640 loss=2.373987 lr=0.020145 Epoch[147] Batch [3699]/[3760] Speed: 164.660997 samples/sec accuracy=46.289696 loss=2.374534 lr=0.020134 Epoch[147] Batch [3749]/[3760] Speed: 178.595809 samples/sec accuracy=46.290417 loss=2.374245 lr=0.020124 Batch [0049]/[0303]: acc-top1=48.218750 acc-top5=71.968750 Batch [0099]/[0303]: acc-top1=44.421875 acc-top5=70.015625 Batch [0149]/[0303]: acc-top1=45.666667 acc-top5=71.135417 Batch [0199]/[0303]: acc-top1=48.507812 acc-top5=72.742188 Batch [0249]/[0303]: acc-top1=47.931250 acc-top5=72.393750 Batch [0299]/[0303]: acc-top1=47.572917 acc-top5=72.572917 [Epoch 147] training: accuracy=46.285738 loss=2.374346 [Epoch 147] speed: 163 samples/sec time cost: 1588.163861 [Epoch 147] validation: acc-top1=47.571163 acc-top5=72.591790 loss=2.500700 Epoch[148] Batch [0049]/[3759] Speed: 115.687657 samples/sec accuracy=49.625000 loss=2.248727 lr=0.020112 Epoch[148] Batch [0099]/[3759] Speed: 161.967222 samples/sec accuracy=48.781250 loss=2.261213 lr=0.020101 Epoch[148] Batch [0149]/[3759] Speed: 164.353931 samples/sec accuracy=48.322917 loss=2.281521 lr=0.020091 Epoch[148] Batch [0199]/[3759] Speed: 164.434082 samples/sec accuracy=47.835938 loss=2.309741 lr=0.020081 Epoch[148] Batch [0249]/[3759] Speed: 165.400136 samples/sec accuracy=47.787500 loss=2.313024 lr=0.020070 Epoch[148] Batch [0299]/[3759] Speed: 164.165975 samples/sec accuracy=47.807292 loss=2.309592 lr=0.020060 Epoch[148] Batch [0349]/[3759] Speed: 165.713370 samples/sec accuracy=47.866071 loss=2.311013 lr=0.020050 Epoch[148] Batch [0399]/[3759] Speed: 163.466149 samples/sec accuracy=47.914062 loss=2.307101 lr=0.020039 Epoch[148] Batch [0449]/[3759] Speed: 162.957470 samples/sec accuracy=47.902778 loss=2.306457 lr=0.020029 Epoch[148] Batch [0499]/[3759] Speed: 166.060471 samples/sec accuracy=47.781250 loss=2.311557 lr=0.020019 Epoch[148] Batch [0549]/[3759] Speed: 164.131060 samples/sec accuracy=47.911932 loss=2.307967 lr=0.020008 Epoch[148] Batch [0599]/[3759] Speed: 164.425471 samples/sec accuracy=47.783854 loss=2.311335 lr=0.019998 Epoch[148] Batch [0649]/[3759] Speed: 162.987109 samples/sec accuracy=47.716346 loss=2.315279 lr=0.019988 Epoch[148] Batch [0699]/[3759] Speed: 163.688093 samples/sec accuracy=47.792411 loss=2.313715 lr=0.019977 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loss=2.344715 lr=0.019782 Epoch[148] Batch [1699]/[3759] Speed: 165.939844 samples/sec accuracy=47.105699 loss=2.342152 lr=0.019771 Epoch[148] Batch [1749]/[3759] Speed: 165.099383 samples/sec accuracy=47.158929 loss=2.340353 lr=0.019761 Epoch[148] Batch [1799]/[3759] Speed: 163.695516 samples/sec accuracy=47.159722 loss=2.340575 lr=0.019751 Epoch[148] Batch [1849]/[3759] Speed: 164.581127 samples/sec accuracy=47.179899 loss=2.340058 lr=0.019741 Epoch[148] Batch [1899]/[3759] Speed: 163.090179 samples/sec accuracy=47.134046 loss=2.340945 lr=0.019730 Epoch[148] Batch [1949]/[3759] Speed: 156.666720 samples/sec accuracy=47.146635 loss=2.340827 lr=0.019720 Epoch[148] Batch [1999]/[3759] Speed: 168.591527 samples/sec accuracy=47.167969 loss=2.341151 lr=0.019710 Epoch[148] Batch [2049]/[3759] Speed: 162.213069 samples/sec accuracy=47.134909 loss=2.342727 lr=0.019700 Epoch[148] Batch [2099]/[3759] Speed: 162.823905 samples/sec accuracy=47.142857 loss=2.342136 lr=0.019689 Epoch[148] Batch 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accuracy=47.001202 loss=2.347278 lr=0.019587 Epoch[148] Batch [2649]/[3759] Speed: 163.342420 samples/sec accuracy=47.022995 loss=2.346781 lr=0.019577 Epoch[148] Batch [2699]/[3759] Speed: 165.730378 samples/sec accuracy=47.030093 loss=2.347326 lr=0.019566 Epoch[148] Batch [2749]/[3759] Speed: 165.250056 samples/sec accuracy=47.041477 loss=2.346841 lr=0.019556 Epoch[148] Batch [2799]/[3759] Speed: 163.692044 samples/sec accuracy=47.021763 loss=2.346939 lr=0.019546 Epoch[148] Batch [2849]/[3759] Speed: 164.526422 samples/sec accuracy=47.019737 loss=2.347279 lr=0.019536 Epoch[148] Batch [2899]/[3759] Speed: 165.589232 samples/sec accuracy=47.031789 loss=2.346859 lr=0.019525 Epoch[148] Batch [2949]/[3759] Speed: 162.996517 samples/sec accuracy=47.016949 loss=2.347076 lr=0.019515 Epoch[148] Batch [2999]/[3759] Speed: 164.011686 samples/sec accuracy=47.006771 loss=2.347877 lr=0.019505 Epoch[148] Batch [3049]/[3759] Speed: 165.008069 samples/sec accuracy=46.995902 loss=2.347962 lr=0.019495 Epoch[148] Batch [3099]/[3759] Speed: 163.481048 samples/sec accuracy=46.997984 loss=2.347614 lr=0.019485 Epoch[148] Batch [3149]/[3759] Speed: 164.666143 samples/sec accuracy=46.967262 loss=2.349068 lr=0.019474 Epoch[148] Batch [3199]/[3759] Speed: 163.887052 samples/sec accuracy=46.955078 loss=2.349959 lr=0.019464 Epoch[148] Batch [3249]/[3759] Speed: 164.901461 samples/sec accuracy=46.947596 loss=2.350603 lr=0.019454 Epoch[148] Batch [3299]/[3759] Speed: 164.205029 samples/sec accuracy=46.937973 loss=2.351516 lr=0.019444 Epoch[148] Batch [3349]/[3759] Speed: 164.985355 samples/sec accuracy=46.927705 loss=2.351848 lr=0.019433 Epoch[148] Batch [3399]/[3759] Speed: 163.184807 samples/sec accuracy=46.930147 loss=2.352298 lr=0.019423 Epoch[148] Batch [3449]/[3759] Speed: 165.251905 samples/sec accuracy=46.935688 loss=2.352730 lr=0.019413 Epoch[148] Batch [3499]/[3759] Speed: 165.580769 samples/sec accuracy=46.937500 loss=2.352517 lr=0.019403 Epoch[148] Batch [3549]/[3759] Speed: 164.258633 samples/sec accuracy=46.943662 loss=2.352244 lr=0.019393 Epoch[148] Batch [3599]/[3759] Speed: 162.731225 samples/sec accuracy=46.963542 loss=2.352051 lr=0.019382 Epoch[148] Batch [3649]/[3759] Speed: 164.146454 samples/sec accuracy=46.967894 loss=2.352221 lr=0.019372 Epoch[148] Batch [3699]/[3759] Speed: 163.512795 samples/sec accuracy=46.960726 loss=2.352792 lr=0.019362 Epoch[148] Batch [3749]/[3759] Speed: 176.797498 samples/sec accuracy=46.943750 loss=2.353018 lr=0.019352 Batch [0049]/[0303]: acc-top1=46.812500 acc-top5=71.656250 Batch [0099]/[0303]: acc-top1=44.890625 acc-top5=71.062500 Batch [0149]/[0303]: acc-top1=46.562500 acc-top5=71.916667 Batch [0199]/[0303]: acc-top1=48.828125 acc-top5=73.343750 Batch [0249]/[0303]: acc-top1=48.512500 acc-top5=73.293750 Batch [0299]/[0303]: acc-top1=47.968750 acc-top5=73.411458 [Epoch 148] training: accuracy=46.941507 loss=2.353054 [Epoch 148] speed: 163 samples/sec time cost: 1585.474610 [Epoch 148] validation: acc-top1=47.901196 acc-top5=73.370462 loss=2.443465 Epoch[149] Batch [0049]/[3760] Speed: 114.677941 samples/sec accuracy=47.343750 loss=2.315299 lr=0.019340 Epoch[149] Batch [0099]/[3760] Speed: 167.037506 samples/sec accuracy=48.015625 loss=2.290538 lr=0.019330 Epoch[149] Batch [0149]/[3760] Speed: 164.502331 samples/sec accuracy=48.177083 loss=2.272552 lr=0.019319 Epoch[149] Batch [0199]/[3760] Speed: 164.242894 samples/sec accuracy=47.984375 loss=2.282848 lr=0.019309 Epoch[149] Batch [0249]/[3760] Speed: 163.844284 samples/sec accuracy=47.975000 loss=2.290957 lr=0.019299 Epoch[149] Batch [0299]/[3760] Speed: 166.407279 samples/sec accuracy=47.812500 loss=2.300911 lr=0.019289 Epoch[149] Batch [0349]/[3760] Speed: 162.242839 samples/sec accuracy=47.674107 loss=2.302871 lr=0.019279 Epoch[149] Batch [0399]/[3760] Speed: 164.633014 samples/sec accuracy=47.640625 loss=2.303499 lr=0.019269 Epoch[149] Batch [0449]/[3760] Speed: 163.765640 samples/sec accuracy=47.597222 loss=2.305619 lr=0.019258 Epoch[149] Batch [0499]/[3760] Speed: 163.852455 samples/sec accuracy=47.634375 loss=2.305631 lr=0.019248 Epoch[149] Batch [0549]/[3760] Speed: 166.109119 samples/sec accuracy=47.585227 loss=2.308851 lr=0.019238 Epoch[149] Batch [0599]/[3760] Speed: 163.056867 samples/sec accuracy=47.588542 loss=2.308168 lr=0.019228 Epoch[149] Batch [0649]/[3760] Speed: 165.550530 samples/sec accuracy=47.634615 loss=2.307267 lr=0.019218 Epoch[149] Batch [0699]/[3760] Speed: 164.075867 samples/sec accuracy=47.584821 loss=2.308149 lr=0.019208 Epoch[149] Batch [0749]/[3760] Speed: 164.442890 samples/sec accuracy=47.552083 loss=2.312379 lr=0.019197 Epoch[149] Batch [0799]/[3760] Speed: 165.474299 samples/sec accuracy=47.498047 loss=2.312633 lr=0.019187 Epoch[149] Batch [0849]/[3760] Speed: 163.559981 samples/sec accuracy=47.597426 loss=2.310857 lr=0.019177 Epoch[149] Batch [0899]/[3760] Speed: 163.412102 samples/sec accuracy=47.460069 loss=2.317967 lr=0.019167 Epoch[149] Batch [0949]/[3760] 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accuracy=47.489955 loss=2.320838 lr=0.019066 Epoch[149] Batch [1449]/[3760] Speed: 164.887845 samples/sec accuracy=47.496767 loss=2.320959 lr=0.019055 Epoch[149] Batch [1499]/[3760] Speed: 164.981056 samples/sec accuracy=47.477083 loss=2.321883 lr=0.019045 Epoch[149] Batch [1549]/[3760] Speed: 164.400028 samples/sec accuracy=47.470766 loss=2.321836 lr=0.019035 Epoch[149] Batch [1599]/[3760] Speed: 164.391114 samples/sec accuracy=47.462891 loss=2.323173 lr=0.019025 Epoch[149] Batch [1649]/[3760] Speed: 162.907781 samples/sec accuracy=47.470644 loss=2.322867 lr=0.019015 Epoch[149] Batch [1699]/[3760] Speed: 163.943820 samples/sec accuracy=47.463235 loss=2.322316 lr=0.019005 Epoch[149] Batch [1749]/[3760] Speed: 164.560436 samples/sec accuracy=47.441964 loss=2.322681 lr=0.018995 Epoch[149] Batch [1799]/[3760] Speed: 163.119586 samples/sec accuracy=47.424479 loss=2.323742 lr=0.018985 Epoch[149] Batch [1849]/[3760] Speed: 164.563263 samples/sec accuracy=47.406250 loss=2.324374 lr=0.018974 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loss=2.331209 lr=0.018783 Epoch[149] Batch [2849]/[3760] Speed: 164.921131 samples/sec accuracy=47.243421 loss=2.331490 lr=0.018773 Epoch[149] Batch [2899]/[3760] Speed: 165.236914 samples/sec accuracy=47.232220 loss=2.332162 lr=0.018762 Epoch[149] Batch [2949]/[3760] Speed: 163.946990 samples/sec accuracy=47.239936 loss=2.331473 lr=0.018752 Epoch[149] Batch [2999]/[3760] Speed: 165.038842 samples/sec accuracy=47.251042 loss=2.331822 lr=0.018742 Epoch[149] Batch [3049]/[3760] Speed: 164.873043 samples/sec accuracy=47.271004 loss=2.330768 lr=0.018732 Epoch[149] Batch [3099]/[3760] Speed: 164.432654 samples/sec accuracy=47.289315 loss=2.330314 lr=0.018722 Epoch[149] Batch [3149]/[3760] Speed: 164.546600 samples/sec accuracy=47.284722 loss=2.330658 lr=0.018712 Epoch[149] Batch [3199]/[3760] Speed: 162.900485 samples/sec accuracy=47.284180 loss=2.330142 lr=0.018702 Epoch[149] Batch [3249]/[3760] Speed: 164.509424 samples/sec accuracy=47.293750 loss=2.329586 lr=0.018692 Epoch[149] Batch 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accuracy=47.204583 loss=2.334743 lr=0.018592 Batch [0049]/[0303]: acc-top1=49.593750 acc-top5=71.812500 Batch [0099]/[0303]: acc-top1=45.562500 acc-top5=70.187500 Batch [0149]/[0303]: acc-top1=47.104167 acc-top5=71.406250 Batch [0199]/[0303]: acc-top1=49.906250 acc-top5=73.101562 Batch [0249]/[0303]: acc-top1=49.031250 acc-top5=72.843750 Batch [0299]/[0303]: acc-top1=48.911458 acc-top5=72.963542 [Epoch 149] training: accuracy=47.204122 loss=2.335106 [Epoch 149] speed: 163 samples/sec time cost: 1585.532127 [Epoch 149] validation: acc-top1=48.901609 acc-top5=72.973391 loss=2.426009 Epoch[150] Batch [0049]/[3760] Speed: 115.836145 samples/sec accuracy=48.968750 loss=2.296076 lr=0.018580 Epoch[150] Batch [0099]/[3760] Speed: 164.161369 samples/sec accuracy=48.421875 loss=2.297941 lr=0.018570 Epoch[150] Batch [0149]/[3760] Speed: 164.872626 samples/sec accuracy=48.125000 loss=2.290337 lr=0.018559 Epoch[150] Batch [0199]/[3760] Speed: 165.018462 samples/sec accuracy=47.960938 loss=2.301748 lr=0.018549 Epoch[150] Batch [0249]/[3760] Speed: 164.170612 samples/sec accuracy=48.187500 loss=2.289598 lr=0.018539 Epoch[150] Batch [0299]/[3760] Speed: 164.683614 samples/sec accuracy=47.953125 loss=2.299139 lr=0.018529 Epoch[150] Batch [0349]/[3760] Speed: 166.980202 samples/sec accuracy=47.991071 loss=2.292819 lr=0.018519 Epoch[150] Batch [0399]/[3760] Speed: 165.181544 samples/sec accuracy=47.800781 loss=2.302761 lr=0.018509 Epoch[150] Batch [0449]/[3760] Speed: 162.765795 samples/sec accuracy=47.812500 loss=2.304677 lr=0.018499 Epoch[150] Batch [0499]/[3760] Speed: 163.690854 samples/sec accuracy=47.803125 loss=2.301933 lr=0.018489 Epoch[150] Batch [0549]/[3760] Speed: 164.060889 samples/sec accuracy=47.792614 loss=2.299562 lr=0.018479 Epoch[150] Batch [0599]/[3760] Speed: 162.577906 samples/sec accuracy=47.898438 loss=2.298974 lr=0.018469 Epoch[150] Batch [0649]/[3760] Speed: 165.310374 samples/sec accuracy=47.836538 loss=2.301257 lr=0.018459 Epoch[150] Batch [0699]/[3760] Speed: 165.935109 samples/sec accuracy=47.799107 loss=2.301551 lr=0.018449 Epoch[150] Batch [0749]/[3760] Speed: 165.247771 samples/sec accuracy=47.837500 loss=2.300991 lr=0.018439 Epoch[150] Batch [0799]/[3760] Speed: 163.051412 samples/sec accuracy=47.843750 loss=2.301258 lr=0.018429 Epoch[150] Batch [0849]/[3760] Speed: 164.717559 samples/sec accuracy=47.748162 loss=2.303497 lr=0.018419 Epoch[150] Batch [0899]/[3760] Speed: 164.900427 samples/sec accuracy=47.803819 loss=2.302025 lr=0.018409 Epoch[150] Batch [0949]/[3760] Speed: 164.534340 samples/sec accuracy=47.838816 loss=2.299037 lr=0.018399 Epoch[150] Batch [0999]/[3760] Speed: 164.550046 samples/sec accuracy=47.798437 loss=2.302197 lr=0.018389 Epoch[150] Batch [1049]/[3760] Speed: 163.869873 samples/sec accuracy=47.870536 loss=2.300647 lr=0.018379 Epoch[150] Batch [1099]/[3760] Speed: 165.565489 samples/sec accuracy=47.859375 loss=2.301387 lr=0.018369 Epoch[150] Batch [1149]/[3760] Speed: 163.200026 samples/sec accuracy=47.785326 loss=2.303057 lr=0.018359 Epoch[150] Batch [1199]/[3760] Speed: 164.712953 samples/sec accuracy=47.757812 loss=2.304392 lr=0.018349 Epoch[150] Batch [1249]/[3760] Speed: 162.290726 samples/sec accuracy=47.768750 loss=2.305356 lr=0.018339 Epoch[150] Batch [1299]/[3760] Speed: 162.850319 samples/sec accuracy=47.739183 loss=2.304547 lr=0.018329 Epoch[150] Batch [1349]/[3760] Speed: 164.714374 samples/sec accuracy=47.688657 loss=2.306332 lr=0.018319 Epoch[150] Batch [1399]/[3760] Speed: 164.218261 samples/sec accuracy=47.677455 loss=2.307291 lr=0.018309 Epoch[150] Batch [1449]/[3760] Speed: 165.286501 samples/sec accuracy=47.647629 loss=2.308704 lr=0.018299 Epoch[150] Batch [1499]/[3760] Speed: 165.353253 samples/sec accuracy=47.628125 loss=2.309094 lr=0.018289 Epoch[150] Batch [1549]/[3760] Speed: 161.847870 samples/sec accuracy=47.628024 loss=2.309166 lr=0.018280 Epoch[150] Batch [1599]/[3760] Speed: 164.197635 samples/sec accuracy=47.620117 loss=2.310029 lr=0.018270 Epoch[150] Batch [1649]/[3760] Speed: 165.176161 samples/sec accuracy=47.602273 loss=2.311515 lr=0.018260 Epoch[150] Batch [1699]/[3760] Speed: 165.838680 samples/sec accuracy=47.602941 loss=2.310711 lr=0.018250 Epoch[150] Batch [1749]/[3760] Speed: 162.754648 samples/sec accuracy=47.607143 loss=2.310890 lr=0.018240 Epoch[150] Batch [1799]/[3760] Speed: 163.154054 samples/sec accuracy=47.604167 loss=2.311926 lr=0.018230 Epoch[150] Batch [1849]/[3760] Speed: 164.429288 samples/sec accuracy=47.564189 loss=2.313289 lr=0.018220 Epoch[150] Batch [1899]/[3760] Speed: 164.159387 samples/sec accuracy=47.537007 loss=2.313729 lr=0.018210 Epoch[150] Batch [1949]/[3760] Speed: 164.596850 samples/sec accuracy=47.540064 loss=2.313712 lr=0.018200 Epoch[150] Batch [1999]/[3760] Speed: 162.220063 samples/sec accuracy=47.558594 loss=2.313472 lr=0.018190 Epoch[150] Batch [2049]/[3760] Speed: 165.381435 samples/sec accuracy=47.512195 loss=2.315481 lr=0.018180 Epoch[150] Batch [2099]/[3760] Speed: 163.702689 samples/sec accuracy=47.501488 loss=2.315043 lr=0.018170 Epoch[150] Batch [2149]/[3760] Speed: 165.032710 samples/sec accuracy=47.518169 loss=2.314187 lr=0.018160 Epoch[150] Batch [2199]/[3760] Speed: 163.466280 samples/sec accuracy=47.502131 loss=2.314984 lr=0.018150 Epoch[150] Batch [2249]/[3760] Speed: 165.072829 samples/sec accuracy=47.488194 loss=2.315422 lr=0.018140 Epoch[150] Batch [2299]/[3760] Speed: 164.476644 samples/sec accuracy=47.438179 loss=2.316490 lr=0.018130 Epoch[150] Batch [2349]/[3760] Speed: 164.428379 samples/sec accuracy=47.431516 loss=2.317123 lr=0.018120 Epoch[150] Batch [2399]/[3760] Speed: 163.788236 samples/sec accuracy=47.418620 loss=2.317248 lr=0.018110 Epoch[150] Batch [2449]/[3760] Speed: 163.029365 samples/sec accuracy=47.414541 loss=2.318075 lr=0.018100 Epoch[150] Batch [2499]/[3760] Speed: 164.185712 samples/sec accuracy=47.410625 loss=2.318757 lr=0.018090 Epoch[150] Batch [2549]/[3760] Speed: 165.030419 samples/sec accuracy=47.370098 loss=2.319913 lr=0.018081 Epoch[150] Batch [2599]/[3760] Speed: 163.739929 samples/sec accuracy=47.372596 loss=2.320721 lr=0.018071 Epoch[150] Batch [2649]/[3760] Speed: 165.081901 samples/sec accuracy=47.344929 loss=2.322258 lr=0.018061 Epoch[150] Batch [2699]/[3760] Speed: 163.658168 samples/sec accuracy=47.367477 loss=2.322119 lr=0.018051 Epoch[150] Batch [2749]/[3760] Speed: 165.825077 samples/sec accuracy=47.368182 loss=2.321836 lr=0.018041 Epoch[150] Batch [2799]/[3760] Speed: 165.036145 samples/sec accuracy=47.354911 loss=2.322383 lr=0.018031 Epoch[150] Batch [2849]/[3760] Speed: 165.164481 samples/sec accuracy=47.356360 loss=2.323314 lr=0.018021 Epoch[150] Batch [2899]/[3760] Speed: 164.665284 samples/sec accuracy=47.371228 loss=2.322088 lr=0.018011 Epoch[150] Batch [2949]/[3760] Speed: 163.548667 samples/sec accuracy=47.361758 loss=2.322508 lr=0.018001 Epoch[150] Batch [2999]/[3760] Speed: 164.127823 samples/sec accuracy=47.346354 loss=2.322957 lr=0.017991 Epoch[150] Batch [3049]/[3760] Speed: 165.244426 samples/sec accuracy=47.366803 loss=2.322486 lr=0.017981 Epoch[150] Batch [3099]/[3760] Speed: 165.535715 samples/sec accuracy=47.361391 loss=2.322630 lr=0.017971 Epoch[150] Batch [3149]/[3760] Speed: 163.787801 samples/sec accuracy=47.368056 loss=2.321923 lr=0.017962 Epoch[150] Batch [3199]/[3760] Speed: 165.666878 samples/sec accuracy=47.386719 loss=2.321110 lr=0.017952 Epoch[150] Batch [3249]/[3760] Speed: 162.931448 samples/sec accuracy=47.388942 loss=2.321073 lr=0.017942 Epoch[150] Batch [3299]/[3760] Speed: 167.321651 samples/sec accuracy=47.402462 loss=2.319954 lr=0.017932 Epoch[150] Batch [3349]/[3760] Speed: 161.368641 samples/sec accuracy=47.416978 loss=2.319802 lr=0.017922 Epoch[150] Batch [3399]/[3760] Speed: 162.114938 samples/sec accuracy=47.404871 loss=2.320376 lr=0.017912 Epoch[150] Batch [3449]/[3760] Speed: 164.100530 samples/sec accuracy=47.409873 loss=2.320227 lr=0.017902 Epoch[150] Batch [3499]/[3760] Speed: 165.087972 samples/sec accuracy=47.400893 loss=2.320269 lr=0.017892 Epoch[150] Batch [3549]/[3760] Speed: 164.296788 samples/sec accuracy=47.401408 loss=2.320432 lr=0.017882 Epoch[150] Batch [3599]/[3760] Speed: 163.342668 samples/sec accuracy=47.420139 loss=2.319899 lr=0.017873 Epoch[150] Batch [3649]/[3760] Speed: 165.655010 samples/sec accuracy=47.435788 loss=2.319491 lr=0.017863 Epoch[150] Batch [3699]/[3760] Speed: 164.189982 samples/sec accuracy=47.416807 loss=2.320222 lr=0.017853 Epoch[150] Batch [3749]/[3760] Speed: 176.839590 samples/sec accuracy=47.411667 loss=2.320931 lr=0.017843 Batch [0049]/[0303]: acc-top1=49.250000 acc-top5=72.562500 Batch [0099]/[0303]: acc-top1=45.812500 acc-top5=70.531250 Batch [0149]/[0303]: acc-top1=47.010417 acc-top5=71.833333 Batch [0199]/[0303]: acc-top1=49.203125 acc-top5=73.375000 Batch [0249]/[0303]: acc-top1=48.643750 acc-top5=73.237500 Batch [0299]/[0303]: acc-top1=48.322917 acc-top5=73.338542 [Epoch 150] training: accuracy=47.410239 loss=2.321062 [Epoch 150] speed: 163 samples/sec time cost: 1585.368660 [Epoch 150] validation: acc-top1=48.220916 acc-top5=73.329208 loss=2.490667 Epoch[151] Batch [0049]/[3759] Speed: 114.721289 samples/sec accuracy=48.156250 loss=2.285804 lr=0.017831 Epoch[151] Batch [0099]/[3759] Speed: 163.982977 samples/sec accuracy=49.093750 loss=2.253688 lr=0.017821 Epoch[151] Batch [0149]/[3759] Speed: 164.748546 samples/sec accuracy=49.072917 loss=2.262124 lr=0.017811 Epoch[151] Batch [0199]/[3759] Speed: 164.130229 samples/sec accuracy=49.296875 loss=2.256383 lr=0.017801 Epoch[151] Batch [0249]/[3759] Speed: 164.727607 samples/sec accuracy=49.181250 loss=2.251316 lr=0.017792 Epoch[151] Batch [0299]/[3759] Speed: 164.935825 samples/sec accuracy=48.984375 loss=2.254965 lr=0.017782 Epoch[151] Batch [0349]/[3759] Speed: 163.409166 samples/sec accuracy=48.741071 loss=2.262987 lr=0.017772 Epoch[151] Batch [0399]/[3759] Speed: 164.665908 samples/sec accuracy=48.621094 loss=2.270325 lr=0.017762 Epoch[151] Batch [0449]/[3759] Speed: 163.697306 samples/sec accuracy=48.631944 loss=2.270593 lr=0.017752 Epoch[151] Batch [0499]/[3759] Speed: 164.511769 samples/sec accuracy=48.615625 loss=2.268812 lr=0.017742 Epoch[151] Batch [0549]/[3759] Speed: 162.759381 samples/sec accuracy=48.582386 loss=2.270502 lr=0.017732 Epoch[151] Batch [0599]/[3759] Speed: 163.058884 samples/sec accuracy=48.536458 loss=2.274793 lr=0.017723 Epoch[151] Batch [0649]/[3759] Speed: 164.720195 samples/sec accuracy=48.487981 loss=2.273666 lr=0.017713 Epoch[151] Batch [0699]/[3759] Speed: 162.902996 samples/sec accuracy=48.502232 loss=2.272629 lr=0.017703 Epoch[151] Batch [0749]/[3759] Speed: 163.932070 samples/sec accuracy=48.560417 loss=2.270296 lr=0.017693 Epoch[151] Batch [0799]/[3759] Speed: 164.579436 samples/sec accuracy=48.484375 loss=2.273693 lr=0.017683 Epoch[151] Batch [0849]/[3759] Speed: 165.799042 samples/sec accuracy=48.465074 loss=2.274184 lr=0.017673 Epoch[151] Batch [0899]/[3759] Speed: 164.016588 samples/sec accuracy=48.453125 loss=2.274205 lr=0.017664 Epoch[151] Batch [0949]/[3759] Speed: 163.996610 samples/sec accuracy=48.501645 loss=2.274090 lr=0.017654 Epoch[151] Batch [0999]/[3759] Speed: 163.800755 samples/sec accuracy=48.545313 loss=2.274235 lr=0.017644 Epoch[151] Batch [1049]/[3759] Speed: 164.586786 samples/sec accuracy=48.511905 loss=2.274304 lr=0.017634 Epoch[151] Batch [1099]/[3759] Speed: 164.718898 samples/sec accuracy=48.427557 loss=2.278524 lr=0.017624 Epoch[151] Batch [1149]/[3759] Speed: 163.267029 samples/sec accuracy=48.398098 loss=2.278535 lr=0.017614 Epoch[151] Batch [1199]/[3759] Speed: 163.250864 samples/sec accuracy=48.371094 loss=2.280296 lr=0.017605 Epoch[151] Batch [1249]/[3759] Speed: 163.430956 samples/sec accuracy=48.373750 loss=2.280102 lr=0.017595 Epoch[151] Batch [1299]/[3759] Speed: 164.018013 samples/sec accuracy=48.352163 loss=2.279588 lr=0.017585 Epoch[151] Batch [1349]/[3759] Speed: 160.368810 samples/sec accuracy=48.341435 loss=2.280800 lr=0.017575 Epoch[151] Batch [1399]/[3759] Speed: 165.354895 samples/sec accuracy=48.279018 loss=2.282922 lr=0.017565 Epoch[151] Batch [1449]/[3759] Speed: 163.746384 samples/sec accuracy=48.302802 loss=2.282978 lr=0.017555 Epoch[151] Batch [1499]/[3759] Speed: 163.170001 samples/sec accuracy=48.332292 loss=2.281802 lr=0.017546 Epoch[151] Batch [1549]/[3759] Speed: 164.529344 samples/sec accuracy=48.412298 loss=2.280048 lr=0.017536 Epoch[151] Batch [1599]/[3759] Speed: 165.649288 samples/sec accuracy=48.400391 loss=2.280921 lr=0.017526 Epoch[151] Batch [1649]/[3759] Speed: 163.986799 samples/sec accuracy=48.382576 loss=2.280275 lr=0.017516 Epoch[151] Batch [1699]/[3759] Speed: 165.351880 samples/sec accuracy=48.362132 loss=2.280943 lr=0.017506 Epoch[151] Batch [1749]/[3759] Speed: 163.641656 samples/sec accuracy=48.311607 loss=2.281061 lr=0.017497 Epoch[151] Batch [1799]/[3759] Speed: 165.404504 samples/sec accuracy=48.315104 loss=2.281807 lr=0.017487 Epoch[151] Batch [1849]/[3759] Speed: 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accuracy=48.110096 loss=2.295944 lr=0.017204 Epoch[151] Batch [3299]/[3759] Speed: 164.171282 samples/sec accuracy=48.107008 loss=2.295983 lr=0.017194 Epoch[151] Batch [3349]/[3759] Speed: 164.838911 samples/sec accuracy=48.085821 loss=2.296627 lr=0.017184 Epoch[151] Batch [3399]/[3759] Speed: 163.840576 samples/sec accuracy=48.111213 loss=2.295704 lr=0.017174 Epoch[151] Batch [3449]/[3759] Speed: 162.848752 samples/sec accuracy=48.089674 loss=2.296865 lr=0.017165 Epoch[151] Batch [3499]/[3759] Speed: 164.817945 samples/sec accuracy=48.096429 loss=2.297134 lr=0.017155 Epoch[151] Batch [3549]/[3759] Speed: 161.031666 samples/sec accuracy=48.103873 loss=2.296636 lr=0.017145 Epoch[151] Batch [3599]/[3759] Speed: 165.550612 samples/sec accuracy=48.082031 loss=2.297306 lr=0.017135 Epoch[151] Batch [3649]/[3759] Speed: 163.695362 samples/sec accuracy=48.106592 loss=2.296553 lr=0.017126 Epoch[151] Batch [3699]/[3759] Speed: 163.942412 samples/sec accuracy=48.110220 loss=2.296183 lr=0.017116 Epoch[151] Batch [3749]/[3759] Speed: 176.369461 samples/sec accuracy=48.114167 loss=2.296064 lr=0.017106 Batch [0049]/[0303]: acc-top1=50.968750 acc-top5=73.968750 Batch [0099]/[0303]: acc-top1=47.171875 acc-top5=72.593750 Batch [0149]/[0303]: acc-top1=47.854167 acc-top5=72.968750 Batch [0199]/[0303]: acc-top1=50.007813 acc-top5=74.179688 Batch [0249]/[0303]: acc-top1=49.243750 acc-top5=73.700000 Batch [0299]/[0303]: acc-top1=48.786458 acc-top5=73.755208 [Epoch 151] training: accuracy=48.109121 loss=2.296113 [Epoch 151] speed: 163 samples/sec time cost: 1588.574053 [Epoch 151] validation: acc-top1=48.819101 acc-top5=73.783003 loss=2.443394 Epoch[152] Batch [0049]/[3760] Speed: 114.924549 samples/sec accuracy=48.718750 loss=2.250821 lr=0.017095 Epoch[152] Batch [0099]/[3760] Speed: 164.182302 samples/sec accuracy=48.671875 loss=2.261104 lr=0.017085 Epoch[152] Batch [0149]/[3760] Speed: 164.044286 samples/sec accuracy=48.489583 loss=2.270486 lr=0.017075 Epoch[152] Batch [0199]/[3760] 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accuracy=48.274038 loss=2.267255 lr=0.016978 Epoch[152] Batch [0699]/[3760] Speed: 166.622111 samples/sec accuracy=48.283482 loss=2.267480 lr=0.016969 Epoch[152] Batch [0749]/[3760] Speed: 164.562006 samples/sec accuracy=48.318750 loss=2.267664 lr=0.016959 Epoch[152] Batch [0799]/[3760] Speed: 162.007171 samples/sec accuracy=48.259766 loss=2.271116 lr=0.016949 Epoch[152] Batch [0849]/[3760] Speed: 163.588760 samples/sec accuracy=48.237132 loss=2.274314 lr=0.016940 Epoch[152] Batch [0899]/[3760] Speed: 164.632018 samples/sec accuracy=48.289931 loss=2.272401 lr=0.016930 Epoch[152] Batch [0949]/[3760] Speed: 162.176383 samples/sec accuracy=48.277961 loss=2.272478 lr=0.016920 Epoch[152] Batch [0999]/[3760] Speed: 166.310707 samples/sec accuracy=48.257812 loss=2.271310 lr=0.016911 Epoch[152] Batch [1049]/[3760] Speed: 163.408348 samples/sec accuracy=48.299107 loss=2.270759 lr=0.016901 Epoch[152] Batch [1099]/[3760] Speed: 163.873127 samples/sec accuracy=48.315341 loss=2.270224 lr=0.016891 Epoch[152] Batch [1149]/[3760] Speed: 166.233904 samples/sec accuracy=48.270380 loss=2.272668 lr=0.016882 Epoch[152] Batch [1199]/[3760] Speed: 162.767576 samples/sec accuracy=48.319010 loss=2.271726 lr=0.016872 Epoch[152] Batch [1249]/[3760] Speed: 163.493829 samples/sec accuracy=48.337500 loss=2.271191 lr=0.016862 Epoch[152] Batch [1299]/[3760] Speed: 163.082823 samples/sec accuracy=48.295673 loss=2.271823 lr=0.016853 Epoch[152] Batch [1349]/[3760] Speed: 163.381898 samples/sec accuracy=48.322917 loss=2.269657 lr=0.016843 Epoch[152] Batch [1399]/[3760] Speed: 163.512777 samples/sec accuracy=48.339286 loss=2.269681 lr=0.016833 Epoch[152] Batch [1449]/[3760] Speed: 162.168728 samples/sec accuracy=48.337284 loss=2.270161 lr=0.016824 Epoch[152] Batch [1499]/[3760] Speed: 166.009508 samples/sec accuracy=48.306250 loss=2.272057 lr=0.016814 Epoch[152] Batch [1549]/[3760] Speed: 162.697534 samples/sec accuracy=48.300403 loss=2.271511 lr=0.016805 Epoch[152] Batch [1599]/[3760] Speed: 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loss=2.269866 lr=0.016708 Epoch[152] Batch [2099]/[3760] Speed: 164.207151 samples/sec accuracy=48.415179 loss=2.270866 lr=0.016699 Epoch[152] Batch [2149]/[3760] Speed: 163.838936 samples/sec accuracy=48.436773 loss=2.270082 lr=0.016689 Epoch[152] Batch [2199]/[3760] Speed: 162.641220 samples/sec accuracy=48.451705 loss=2.270223 lr=0.016679 Epoch[152] Batch [2249]/[3760] Speed: 164.656404 samples/sec accuracy=48.508333 loss=2.268017 lr=0.016670 Epoch[152] Batch [2299]/[3760] Speed: 163.397596 samples/sec accuracy=48.516304 loss=2.267874 lr=0.016660 Epoch[152] Batch [2349]/[3760] Speed: 163.931115 samples/sec accuracy=48.515957 loss=2.267880 lr=0.016650 Epoch[152] Batch [2399]/[3760] Speed: 164.015845 samples/sec accuracy=48.483073 loss=2.268466 lr=0.016641 Epoch[152] Batch [2449]/[3760] Speed: 164.517518 samples/sec accuracy=48.471939 loss=2.269339 lr=0.016631 Epoch[152] Batch [2499]/[3760] Speed: 164.765681 samples/sec accuracy=48.470000 loss=2.269865 lr=0.016622 Epoch[152] Batch 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accuracy=48.515104 loss=2.271647 lr=0.016526 Epoch[152] Batch [3049]/[3760] Speed: 163.842312 samples/sec accuracy=48.519467 loss=2.272161 lr=0.016516 Epoch[152] Batch [3099]/[3760] Speed: 164.106031 samples/sec accuracy=48.531250 loss=2.271809 lr=0.016507 Epoch[152] Batch [3149]/[3760] Speed: 163.253988 samples/sec accuracy=48.514385 loss=2.272599 lr=0.016497 Epoch[152] Batch [3199]/[3760] Speed: 163.691473 samples/sec accuracy=48.514648 loss=2.272913 lr=0.016487 Epoch[152] Batch [3249]/[3760] Speed: 160.568226 samples/sec accuracy=48.492788 loss=2.273720 lr=0.016478 Epoch[152] Batch [3299]/[3760] Speed: 162.983008 samples/sec accuracy=48.504735 loss=2.273051 lr=0.016468 Epoch[152] Batch [3349]/[3760] Speed: 165.018628 samples/sec accuracy=48.493004 loss=2.273639 lr=0.016459 Epoch[152] Batch [3399]/[3760] Speed: 163.635946 samples/sec accuracy=48.504136 loss=2.272469 lr=0.016449 Epoch[152] Batch [3449]/[3760] Speed: 166.258421 samples/sec accuracy=48.483696 loss=2.273729 lr=0.016440 Epoch[152] Batch [3499]/[3760] Speed: 163.499676 samples/sec accuracy=48.486607 loss=2.273797 lr=0.016430 Epoch[152] Batch [3549]/[3760] Speed: 163.503742 samples/sec accuracy=48.483715 loss=2.274390 lr=0.016420 Epoch[152] Batch [3599]/[3760] Speed: 165.058471 samples/sec accuracy=48.483507 loss=2.273948 lr=0.016411 Epoch[152] Batch [3649]/[3760] Speed: 165.992829 samples/sec accuracy=48.472175 loss=2.274178 lr=0.016401 Epoch[152] Batch [3699]/[3760] Speed: 163.244079 samples/sec accuracy=48.472973 loss=2.273457 lr=0.016392 Epoch[152] Batch [3749]/[3760] Speed: 177.412263 samples/sec accuracy=48.454583 loss=2.274453 lr=0.016382 Batch [0049]/[0303]: acc-top1=47.406250 acc-top5=71.906250 Batch [0099]/[0303]: acc-top1=45.828125 acc-top5=71.093750 Batch [0149]/[0303]: acc-top1=47.406250 acc-top5=71.937500 Batch [0199]/[0303]: acc-top1=49.828125 acc-top5=73.648438 Batch [0249]/[0303]: acc-top1=48.962500 acc-top5=73.275000 Batch [0299]/[0303]: acc-top1=48.276042 acc-top5=73.281250 [Epoch 152] training: accuracy=48.456200 loss=2.274112 [Epoch 152] speed: 163 samples/sec time cost: 1588.617443 [Epoch 152] validation: acc-top1=48.164191 acc-top5=73.267327 loss=2.445902 Epoch[153] Batch [0049]/[3760] Speed: 112.981364 samples/sec accuracy=49.125000 loss=2.238868 lr=0.016371 Epoch[153] Batch [0099]/[3760] Speed: 162.781491 samples/sec accuracy=49.828125 loss=2.217584 lr=0.016361 Epoch[153] Batch [0149]/[3760] Speed: 165.223729 samples/sec accuracy=49.906250 loss=2.205704 lr=0.016352 Epoch[153] Batch [0199]/[3760] Speed: 163.330022 samples/sec accuracy=49.890625 loss=2.203053 lr=0.016342 Epoch[153] Batch [0249]/[3760] Speed: 165.247482 samples/sec accuracy=49.700000 loss=2.214952 lr=0.016333 Epoch[153] Batch [0299]/[3760] Speed: 163.206678 samples/sec accuracy=49.359375 loss=2.221456 lr=0.016323 Epoch[153] Batch [0349]/[3760] Speed: 163.269537 samples/sec accuracy=49.303571 loss=2.222807 lr=0.016314 Epoch[153] Batch [0399]/[3760] Speed: 164.667858 samples/sec accuracy=49.183594 loss=2.227141 lr=0.016304 Epoch[153] Batch [0449]/[3760] Speed: 164.109310 samples/sec accuracy=48.961806 loss=2.237968 lr=0.016295 Epoch[153] Batch [0499]/[3760] Speed: 166.034088 samples/sec accuracy=48.887500 loss=2.239165 lr=0.016285 Epoch[153] Batch [0549]/[3760] Speed: 162.633479 samples/sec accuracy=49.008523 loss=2.237781 lr=0.016275 Epoch[153] Batch [0599]/[3760] Speed: 164.009698 samples/sec accuracy=49.046875 loss=2.234447 lr=0.016266 Epoch[153] Batch [0649]/[3760] Speed: 163.607857 samples/sec accuracy=49.112981 loss=2.232073 lr=0.016256 Epoch[153] Batch [0699]/[3760] Speed: 164.556950 samples/sec accuracy=49.026786 loss=2.236364 lr=0.016247 Epoch[153] Batch [0749]/[3760] Speed: 165.334819 samples/sec accuracy=49.135417 loss=2.234411 lr=0.016237 Epoch[153] Batch [0799]/[3760] Speed: 163.603143 samples/sec accuracy=49.167969 loss=2.233943 lr=0.016228 Epoch[153] Batch [0849]/[3760] Speed: 163.424644 samples/sec accuracy=48.959559 loss=2.239967 lr=0.016218 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accuracy=48.931818 loss=2.244875 lr=0.015859 Epoch[153] Batch [2799]/[3760] Speed: 164.025498 samples/sec accuracy=48.920201 loss=2.245352 lr=0.015849 Epoch[153] Batch [2849]/[3760] Speed: 161.955951 samples/sec accuracy=48.916667 loss=2.245014 lr=0.015840 Epoch[153] Batch [2899]/[3760] Speed: 165.079304 samples/sec accuracy=48.882004 loss=2.246168 lr=0.015830 Epoch[153] Batch [2949]/[3760] Speed: 164.033510 samples/sec accuracy=48.904661 loss=2.245970 lr=0.015821 Epoch[153] Batch [2999]/[3760] Speed: 165.618574 samples/sec accuracy=48.893750 loss=2.246377 lr=0.015812 Epoch[153] Batch [3049]/[3760] Speed: 162.849107 samples/sec accuracy=48.883709 loss=2.247577 lr=0.015802 Epoch[153] Batch [3099]/[3760] Speed: 164.550367 samples/sec accuracy=48.893145 loss=2.247491 lr=0.015793 Epoch[153] Batch [3149]/[3760] Speed: 164.924813 samples/sec accuracy=48.872024 loss=2.248266 lr=0.015783 Epoch[153] Batch [3199]/[3760] Speed: 162.799939 samples/sec accuracy=48.871094 loss=2.247944 lr=0.015774 Epoch[153] Batch [3249]/[3760] Speed: 164.197201 samples/sec accuracy=48.875000 loss=2.247606 lr=0.015765 Epoch[153] Batch [3299]/[3760] Speed: 162.690011 samples/sec accuracy=48.869792 loss=2.248416 lr=0.015755 Epoch[153] Batch [3349]/[3760] Speed: 163.502146 samples/sec accuracy=48.873601 loss=2.249068 lr=0.015746 Epoch[153] Batch [3399]/[3760] Speed: 164.141265 samples/sec accuracy=48.853401 loss=2.250490 lr=0.015736 Epoch[153] Batch [3449]/[3760] Speed: 164.455330 samples/sec accuracy=48.842391 loss=2.250666 lr=0.015727 Epoch[153] Batch [3499]/[3760] Speed: 164.416227 samples/sec accuracy=48.833482 loss=2.251102 lr=0.015718 Epoch[153] Batch [3549]/[3760] Speed: 163.181019 samples/sec accuracy=48.822183 loss=2.251914 lr=0.015708 Epoch[153] Batch [3599]/[3760] Speed: 165.524703 samples/sec accuracy=48.828125 loss=2.251287 lr=0.015699 Epoch[153] Batch [3649]/[3760] Speed: 162.797279 samples/sec accuracy=48.830479 loss=2.251062 lr=0.015689 Epoch[153] Batch [3699]/[3760] Speed: 163.397852 samples/sec accuracy=48.840794 loss=2.250926 lr=0.015680 Epoch[153] Batch [3749]/[3760] Speed: 176.419948 samples/sec accuracy=48.860000 loss=2.250954 lr=0.015671 Batch [0049]/[0303]: acc-top1=49.343750 acc-top5=72.562500 Batch [0099]/[0303]: acc-top1=46.828125 acc-top5=72.125000 Batch [0149]/[0303]: acc-top1=48.645833 acc-top5=72.875000 Batch [0199]/[0303]: acc-top1=51.476562 acc-top5=74.546875 Batch [0249]/[0303]: acc-top1=50.781250 acc-top5=74.456250 Batch [0299]/[0303]: acc-top1=50.114583 acc-top5=74.447917 [Epoch 153] training: accuracy=48.850981 loss=2.251010 [Epoch 153] speed: 163 samples/sec time cost: 1589.005464 [Epoch 153] validation: acc-top1=50.072195 acc-top5=74.437913 loss=2.347074 Epoch[154] Batch [0049]/[3759] Speed: 115.907797 samples/sec accuracy=50.875000 loss=2.193188 lr=0.015659 Epoch[154] Batch [0099]/[3759] Speed: 165.496237 samples/sec accuracy=49.812500 loss=2.220882 lr=0.015650 Epoch[154] Batch [0149]/[3759] Speed: 164.519662 samples/sec accuracy=49.968750 loss=2.214728 lr=0.015641 Epoch[154] Batch [0199]/[3759] Speed: 161.935397 samples/sec accuracy=50.015625 loss=2.209814 lr=0.015631 Epoch[154] Batch [0249]/[3759] Speed: 165.853250 samples/sec accuracy=49.718750 loss=2.220610 lr=0.015622 Epoch[154] Batch [0299]/[3759] Speed: 163.401539 samples/sec accuracy=49.500000 loss=2.227097 lr=0.015613 Epoch[154] Batch [0349]/[3759] Speed: 163.424059 samples/sec accuracy=49.629464 loss=2.226107 lr=0.015603 Epoch[154] Batch [0399]/[3759] Speed: 165.322539 samples/sec accuracy=49.617188 loss=2.228105 lr=0.015594 Epoch[154] Batch [0449]/[3759] Speed: 162.936027 samples/sec accuracy=49.711806 loss=2.221428 lr=0.015585 Epoch[154] Batch [0499]/[3759] Speed: 163.644372 samples/sec accuracy=49.825000 loss=2.214652 lr=0.015575 Epoch[154] Batch [0549]/[3759] Speed: 164.256595 samples/sec accuracy=49.900568 loss=2.215535 lr=0.015566 Epoch[154] Batch [0599]/[3759] Speed: 163.938147 samples/sec accuracy=49.997396 loss=2.215257 lr=0.015556 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accuracy=49.393750 loss=2.228498 lr=0.015203 Epoch[154] Batch [2549]/[3759] Speed: 163.396697 samples/sec accuracy=49.381127 loss=2.228366 lr=0.015194 Epoch[154] Batch [2599]/[3759] Speed: 165.592779 samples/sec accuracy=49.379808 loss=2.229363 lr=0.015184 Epoch[154] Batch [2649]/[3759] Speed: 162.164309 samples/sec accuracy=49.390330 loss=2.228795 lr=0.015175 Epoch[154] Batch [2699]/[3759] Speed: 163.426240 samples/sec accuracy=49.395833 loss=2.228624 lr=0.015166 Epoch[154] Batch [2749]/[3759] Speed: 163.738409 samples/sec accuracy=49.388636 loss=2.229061 lr=0.015157 Epoch[154] Batch [2799]/[3759] Speed: 164.271439 samples/sec accuracy=49.401786 loss=2.228368 lr=0.015147 Epoch[154] Batch [2849]/[3759] Speed: 164.938946 samples/sec accuracy=49.402412 loss=2.228451 lr=0.015138 Epoch[154] Batch [2899]/[3759] Speed: 163.822168 samples/sec accuracy=49.399246 loss=2.228360 lr=0.015129 Epoch[154] Batch [2949]/[3759] Speed: 163.531641 samples/sec accuracy=49.398305 loss=2.227892 lr=0.015120 Epoch[154] Batch [2999]/[3759] Speed: 163.292233 samples/sec accuracy=49.383333 loss=2.228508 lr=0.015110 Epoch[154] Batch [3049]/[3759] Speed: 164.055054 samples/sec accuracy=49.366803 loss=2.229254 lr=0.015101 Epoch[154] Batch [3099]/[3759] Speed: 163.506622 samples/sec accuracy=49.386089 loss=2.228017 lr=0.015092 Epoch[154] Batch [3149]/[3759] Speed: 165.082678 samples/sec accuracy=49.379960 loss=2.227952 lr=0.015083 Epoch[154] Batch [3199]/[3759] Speed: 165.018640 samples/sec accuracy=49.367676 loss=2.228172 lr=0.015073 Epoch[154] Batch [3249]/[3759] Speed: 163.825655 samples/sec accuracy=49.359135 loss=2.228534 lr=0.015064 Epoch[154] Batch [3299]/[3759] Speed: 164.985808 samples/sec accuracy=49.346591 loss=2.228878 lr=0.015055 Epoch[154] Batch [3349]/[3759] Speed: 163.139734 samples/sec accuracy=49.338619 loss=2.229593 lr=0.015046 Epoch[154] Batch [3399]/[3759] Speed: 165.666393 samples/sec accuracy=49.315257 loss=2.229650 lr=0.015037 Epoch[154] Batch [3449]/[3759] Speed: 163.152041 samples/sec accuracy=49.322917 loss=2.230150 lr=0.015027 Epoch[154] Batch [3499]/[3759] Speed: 164.012638 samples/sec accuracy=49.333929 loss=2.229717 lr=0.015018 Epoch[154] Batch [3549]/[3759] Speed: 164.570436 samples/sec accuracy=49.315581 loss=2.230325 lr=0.015009 Epoch[154] Batch [3599]/[3759] Speed: 164.458665 samples/sec accuracy=49.306424 loss=2.230199 lr=0.015000 Epoch[154] Batch [3649]/[3759] Speed: 162.851804 samples/sec accuracy=49.302226 loss=2.230461 lr=0.014990 Epoch[154] Batch [3699]/[3759] Speed: 163.104344 samples/sec accuracy=49.293497 loss=2.231040 lr=0.014981 Epoch[154] Batch [3749]/[3759] Speed: 175.920300 samples/sec accuracy=49.304167 loss=2.230936 lr=0.014972 Batch [0049]/[0303]: acc-top1=49.625000 acc-top5=73.093750 Batch [0099]/[0303]: acc-top1=46.218750 acc-top5=71.375000 Batch [0149]/[0303]: acc-top1=48.125000 acc-top5=72.312500 Batch [0199]/[0303]: acc-top1=50.679688 acc-top5=73.992188 Batch [0249]/[0303]: acc-top1=50.175000 acc-top5=74.018750 Batch [0299]/[0303]: acc-top1=49.697917 acc-top5=73.958333 [Epoch 154] training: accuracy=49.314977 loss=2.230680 [Epoch 154] speed: 163 samples/sec time cost: 1587.146514 [Epoch 154] validation: acc-top1=49.669967 acc-top5=73.958333 loss=2.398643 Epoch[155] Batch [0049]/[3760] Speed: 114.243287 samples/sec accuracy=49.343750 loss=2.226537 lr=0.014961 Epoch[155] Batch [0099]/[3760] Speed: 164.883747 samples/sec accuracy=50.750000 loss=2.164005 lr=0.014952 Epoch[155] Batch [0149]/[3760] Speed: 162.669510 samples/sec accuracy=50.854167 loss=2.162564 lr=0.014943 Epoch[155] Batch [0199]/[3760] Speed: 163.563314 samples/sec accuracy=50.398438 loss=2.192895 lr=0.014934 Epoch[155] Batch [0249]/[3760] Speed: 164.962705 samples/sec accuracy=50.187500 loss=2.200345 lr=0.014924 Epoch[155] Batch [0299]/[3760] Speed: 163.948628 samples/sec accuracy=50.109375 loss=2.200117 lr=0.014915 Epoch[155] Batch [0349]/[3760] Speed: 163.740520 samples/sec accuracy=50.169643 loss=2.191500 lr=0.014906 Epoch[155] 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accuracy=49.686806 loss=2.210525 lr=0.014559 Epoch[155] Batch [2299]/[3760] Speed: 162.987139 samples/sec accuracy=49.685462 loss=2.211056 lr=0.014550 Epoch[155] Batch [2349]/[3760] Speed: 164.141074 samples/sec accuracy=49.688830 loss=2.210976 lr=0.014540 Epoch[155] Batch [2399]/[3760] Speed: 164.788694 samples/sec accuracy=49.685547 loss=2.210505 lr=0.014531 Epoch[155] Batch [2449]/[3760] Speed: 163.133968 samples/sec accuracy=49.692602 loss=2.209802 lr=0.014522 Epoch[155] Batch [2499]/[3760] Speed: 166.039642 samples/sec accuracy=49.686250 loss=2.209200 lr=0.014513 Epoch[155] Batch [2549]/[3760] Speed: 164.166353 samples/sec accuracy=49.673407 loss=2.208994 lr=0.014504 Epoch[155] Batch [2599]/[3760] Speed: 164.881479 samples/sec accuracy=49.685697 loss=2.208704 lr=0.014495 Epoch[155] Batch [2649]/[3760] Speed: 163.734414 samples/sec accuracy=49.692807 loss=2.208599 lr=0.014486 Epoch[155] Batch [2699]/[3760] Speed: 163.007472 samples/sec accuracy=49.707176 loss=2.209376 lr=0.014477 Epoch[155] Batch [2749]/[3760] Speed: 165.120106 samples/sec accuracy=49.697727 loss=2.210102 lr=0.014468 Epoch[155] Batch [2799]/[3760] Speed: 163.944815 samples/sec accuracy=49.678013 loss=2.210812 lr=0.014459 Epoch[155] Batch [2849]/[3760] Speed: 164.305010 samples/sec accuracy=49.666118 loss=2.211045 lr=0.014450 Epoch[155] Batch [2899]/[3760] Speed: 161.398033 samples/sec accuracy=49.644935 loss=2.212734 lr=0.014441 Epoch[155] Batch [2949]/[3760] Speed: 164.226297 samples/sec accuracy=49.641949 loss=2.212570 lr=0.014431 Epoch[155] Batch [2999]/[3760] Speed: 163.735788 samples/sec accuracy=49.634375 loss=2.213242 lr=0.014422 Epoch[155] Batch [3049]/[3760] Speed: 162.200271 samples/sec accuracy=49.631148 loss=2.213474 lr=0.014413 Epoch[155] Batch [3099]/[3760] Speed: 164.981259 samples/sec accuracy=49.638609 loss=2.213579 lr=0.014404 Epoch[155] Batch [3149]/[3760] Speed: 162.971805 samples/sec accuracy=49.619544 loss=2.213378 lr=0.014395 Epoch[155] Batch [3199]/[3760] Speed: 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loss=2.215586 lr=0.014305 Epoch[155] Batch [3699]/[3760] Speed: 162.357970 samples/sec accuracy=49.587416 loss=2.215223 lr=0.014296 Epoch[155] Batch [3749]/[3760] Speed: 176.168875 samples/sec accuracy=49.590833 loss=2.214900 lr=0.014287 Batch [0049]/[0303]: acc-top1=50.218750 acc-top5=73.437500 Batch [0099]/[0303]: acc-top1=46.171875 acc-top5=71.515625 Batch [0149]/[0303]: acc-top1=47.750000 acc-top5=72.375000 Batch [0199]/[0303]: acc-top1=50.460938 acc-top5=73.953125 Batch [0249]/[0303]: acc-top1=49.806250 acc-top5=73.787500 Batch [0299]/[0303]: acc-top1=49.244792 acc-top5=74.010417 [Epoch 155] training: accuracy=49.585273 loss=2.215133 [Epoch 155] speed: 163 samples/sec time cost: 1589.506244 [Epoch 155] validation: acc-top1=49.221328 acc-top5=74.004744 loss=2.374354 Epoch[156] Batch [0049]/[3760] Speed: 116.864802 samples/sec accuracy=52.093750 loss=2.105119 lr=0.014276 Epoch[156] Batch [0099]/[3760] Speed: 164.316099 samples/sec accuracy=50.656250 loss=2.184316 lr=0.014267 Epoch[156] Batch [0149]/[3760] Speed: 165.031807 samples/sec accuracy=50.750000 loss=2.178428 lr=0.014258 Epoch[156] Batch [0199]/[3760] Speed: 164.299541 samples/sec accuracy=50.726563 loss=2.173952 lr=0.014249 Epoch[156] Batch [0249]/[3760] Speed: 163.706784 samples/sec accuracy=50.562500 loss=2.179860 lr=0.014240 Epoch[156] Batch [0299]/[3760] Speed: 164.647559 samples/sec accuracy=50.828125 loss=2.171922 lr=0.014231 Epoch[156] Batch [0349]/[3760] Speed: 163.278700 samples/sec accuracy=50.517857 loss=2.179318 lr=0.014222 Epoch[156] Batch [0399]/[3760] Speed: 164.255931 samples/sec accuracy=50.468750 loss=2.179053 lr=0.014213 Epoch[156] Batch [0449]/[3760] Speed: 163.202300 samples/sec accuracy=50.472222 loss=2.175377 lr=0.014204 Epoch[156] Batch [0499]/[3760] Speed: 164.801633 samples/sec accuracy=50.525000 loss=2.175447 lr=0.014195 Epoch[156] Batch [0549]/[3760] Speed: 163.755979 samples/sec accuracy=50.579545 loss=2.173314 lr=0.014186 Epoch[156] Batch [0599]/[3760] Speed: 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loss=2.172621 lr=0.014096 Epoch[156] Batch [1099]/[3760] Speed: 163.373794 samples/sec accuracy=50.585227 loss=2.174877 lr=0.014087 Epoch[156] Batch [1149]/[3760] Speed: 165.531654 samples/sec accuracy=50.558424 loss=2.175791 lr=0.014078 Epoch[156] Batch [1199]/[3760] Speed: 162.063106 samples/sec accuracy=50.559896 loss=2.176563 lr=0.014069 Epoch[156] Batch [1249]/[3760] Speed: 163.574989 samples/sec accuracy=50.521250 loss=2.177320 lr=0.014060 Epoch[156] Batch [1299]/[3760] Speed: 165.350315 samples/sec accuracy=50.500000 loss=2.176890 lr=0.014051 Epoch[156] Batch [1349]/[3760] Speed: 162.606895 samples/sec accuracy=50.480324 loss=2.177668 lr=0.014042 Epoch[156] Batch [1399]/[3760] Speed: 164.749351 samples/sec accuracy=50.482143 loss=2.177829 lr=0.014033 Epoch[156] Batch [1449]/[3760] Speed: 165.032330 samples/sec accuracy=50.459052 loss=2.177801 lr=0.014024 Epoch[156] Batch [1499]/[3760] Speed: 164.394315 samples/sec accuracy=50.408333 loss=2.180915 lr=0.014015 Epoch[156] Batch 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accuracy=50.312500 loss=2.180420 lr=0.013926 Epoch[156] Batch [2049]/[3760] Speed: 164.729968 samples/sec accuracy=50.310976 loss=2.180731 lr=0.013917 Epoch[156] Batch [2099]/[3760] Speed: 165.143172 samples/sec accuracy=50.335565 loss=2.179846 lr=0.013908 Epoch[156] Batch [2149]/[3760] Speed: 164.369784 samples/sec accuracy=50.321221 loss=2.180518 lr=0.013899 Epoch[156] Batch [2199]/[3760] Speed: 162.998229 samples/sec accuracy=50.306108 loss=2.181516 lr=0.013890 Epoch[156] Batch [2249]/[3760] Speed: 163.821270 samples/sec accuracy=50.316667 loss=2.181823 lr=0.013881 Epoch[156] Batch [2299]/[3760] Speed: 165.883610 samples/sec accuracy=50.290761 loss=2.182628 lr=0.013872 Epoch[156] Batch [2349]/[3760] Speed: 164.551813 samples/sec accuracy=50.290559 loss=2.182218 lr=0.013863 Epoch[156] Batch [2399]/[3760] Speed: 162.717111 samples/sec accuracy=50.307292 loss=2.181460 lr=0.013854 Epoch[156] Batch [2449]/[3760] Speed: 163.974542 samples/sec accuracy=50.312500 loss=2.181833 lr=0.013846 Epoch[156] Batch [2499]/[3760] Speed: 164.387874 samples/sec accuracy=50.312500 loss=2.181319 lr=0.013837 Epoch[156] Batch [2549]/[3760] Speed: 162.598298 samples/sec accuracy=50.291054 loss=2.182146 lr=0.013828 Epoch[156] Batch [2599]/[3760] Speed: 165.028469 samples/sec accuracy=50.307692 loss=2.181562 lr=0.013819 Epoch[156] Batch [2649]/[3760] Speed: 164.492704 samples/sec accuracy=50.292453 loss=2.181996 lr=0.013810 Epoch[156] Batch [2699]/[3760] Speed: 164.647460 samples/sec accuracy=50.278935 loss=2.182513 lr=0.013801 Epoch[156] Batch [2749]/[3760] Speed: 163.283387 samples/sec accuracy=50.278409 loss=2.182937 lr=0.013792 Epoch[156] Batch [2799]/[3760] Speed: 164.878222 samples/sec accuracy=50.270089 loss=2.183227 lr=0.013783 Epoch[156] Batch [2849]/[3760] Speed: 162.060541 samples/sec accuracy=50.279605 loss=2.182401 lr=0.013774 Epoch[156] Batch [2899]/[3760] Speed: 165.036545 samples/sec accuracy=50.290409 loss=2.182077 lr=0.013765 Epoch[156] Batch [2949]/[3760] Speed: 162.753987 samples/sec accuracy=50.289725 loss=2.182071 lr=0.013757 Epoch[156] Batch [2999]/[3760] Speed: 164.099876 samples/sec accuracy=50.281771 loss=2.182131 lr=0.013748 Epoch[156] Batch [3049]/[3760] Speed: 163.700972 samples/sec accuracy=50.284836 loss=2.182716 lr=0.013739 Epoch[156] Batch [3099]/[3760] Speed: 162.749901 samples/sec accuracy=50.290827 loss=2.182580 lr=0.013730 Epoch[156] Batch [3149]/[3760] Speed: 164.957955 samples/sec accuracy=50.259921 loss=2.183848 lr=0.013721 Epoch[156] Batch [3199]/[3760] Speed: 163.198275 samples/sec accuracy=50.242676 loss=2.185081 lr=0.013712 Epoch[156] Batch [3249]/[3760] Speed: 164.765527 samples/sec accuracy=50.235577 loss=2.185253 lr=0.013703 Epoch[156] Batch [3299]/[3760] Speed: 165.048722 samples/sec accuracy=50.237216 loss=2.185607 lr=0.013694 Epoch[156] Batch [3349]/[3760] Speed: 166.287638 samples/sec accuracy=50.231343 loss=2.185638 lr=0.013686 Epoch[156] Batch [3399]/[3760] Speed: 164.365230 samples/sec accuracy=50.248621 loss=2.185524 lr=0.013677 Epoch[156] Batch [3449]/[3760] Speed: 163.006298 samples/sec accuracy=50.225543 loss=2.186271 lr=0.013668 Epoch[156] Batch [3499]/[3760] Speed: 164.294350 samples/sec accuracy=50.233929 loss=2.186224 lr=0.013659 Epoch[156] Batch [3549]/[3760] Speed: 163.373150 samples/sec accuracy=50.211708 loss=2.187129 lr=0.013650 Epoch[156] Batch [3599]/[3760] Speed: 164.354909 samples/sec accuracy=50.187934 loss=2.187748 lr=0.013641 Epoch[156] Batch [3649]/[3760] Speed: 162.672988 samples/sec accuracy=50.193921 loss=2.187648 lr=0.013632 Epoch[156] Batch [3699]/[3760] Speed: 163.876714 samples/sec accuracy=50.186233 loss=2.187893 lr=0.013624 Epoch[156] Batch [3749]/[3760] Speed: 176.753745 samples/sec accuracy=50.189167 loss=2.187878 lr=0.013615 Batch [0049]/[0303]: acc-top1=51.093750 acc-top5=74.218750 Batch [0099]/[0303]: acc-top1=48.140625 acc-top5=73.000000 Batch [0149]/[0303]: acc-top1=49.677083 acc-top5=74.145833 Batch [0199]/[0303]: acc-top1=52.242188 acc-top5=75.859375 Batch [0249]/[0303]: acc-top1=51.450000 acc-top5=75.600000 Batch [0299]/[0303]: acc-top1=50.755208 acc-top5=75.479167 [Epoch 156] training: accuracy=50.195728 loss=2.187773 [Epoch 156] speed: 163 samples/sec time cost: 1587.752063 [Epoch 156] validation: acc-top1=50.685850 acc-top5=75.479579 loss=2.321287 Epoch[157] Batch [0049]/[3759] Speed: 115.452991 samples/sec accuracy=50.125000 loss=2.176996 lr=0.013604 Epoch[157] Batch [0099]/[3759] Speed: 163.483245 samples/sec accuracy=50.734375 loss=2.155197 lr=0.013595 Epoch[157] Batch [0149]/[3759] Speed: 165.115534 samples/sec accuracy=50.697917 loss=2.157859 lr=0.013586 Epoch[157] Batch [0199]/[3759] Speed: 162.487236 samples/sec accuracy=50.929688 loss=2.152607 lr=0.013578 Epoch[157] Batch [0249]/[3759] Speed: 164.233109 samples/sec accuracy=50.900000 loss=2.154105 lr=0.013569 Epoch[157] Batch [0299]/[3759] Speed: 163.569184 samples/sec accuracy=50.932292 loss=2.154240 lr=0.013560 Epoch[157] Batch [0349]/[3759] Speed: 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accuracy=50.631250 loss=2.166948 lr=0.013305 Epoch[157] Batch [1799]/[3759] Speed: 165.462429 samples/sec accuracy=50.640625 loss=2.167120 lr=0.013296 Epoch[157] Batch [1849]/[3759] Speed: 163.182815 samples/sec accuracy=50.595439 loss=2.168669 lr=0.013287 Epoch[157] Batch [1899]/[3759] Speed: 164.002086 samples/sec accuracy=50.581414 loss=2.169290 lr=0.013279 Epoch[157] Batch [1949]/[3759] Speed: 164.628379 samples/sec accuracy=50.587340 loss=2.168582 lr=0.013270 Epoch[157] Batch [1999]/[3759] Speed: 165.503041 samples/sec accuracy=50.618750 loss=2.167791 lr=0.013261 Epoch[157] Batch [2049]/[3759] Speed: 161.964064 samples/sec accuracy=50.635671 loss=2.167378 lr=0.013252 Epoch[157] Batch [2099]/[3759] Speed: 164.041780 samples/sec accuracy=50.613839 loss=2.167162 lr=0.013244 Epoch[157] Batch [2149]/[3759] Speed: 162.622871 samples/sec accuracy=50.614826 loss=2.167625 lr=0.013235 Epoch[157] Batch [2199]/[3759] Speed: 163.816038 samples/sec accuracy=50.629972 loss=2.167333 lr=0.013226 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accuracy=51.152083 loss=2.141780 lr=0.012696 Epoch[158] Batch [1549]/[3760] Speed: 163.820624 samples/sec accuracy=51.107863 loss=2.143755 lr=0.012687 Epoch[158] Batch [1599]/[3760] Speed: 164.747169 samples/sec accuracy=51.059570 loss=2.145467 lr=0.012679 Epoch[158] Batch [1649]/[3760] Speed: 163.908707 samples/sec accuracy=51.054924 loss=2.146335 lr=0.012670 Epoch[158] Batch [1699]/[3760] Speed: 165.931605 samples/sec accuracy=51.084559 loss=2.146307 lr=0.012662 Epoch[158] Batch [1749]/[3760] Speed: 163.039201 samples/sec accuracy=51.053571 loss=2.147841 lr=0.012653 Epoch[158] Batch [1799]/[3760] Speed: 165.270371 samples/sec accuracy=51.015625 loss=2.148512 lr=0.012645 Epoch[158] Batch [1849]/[3760] Speed: 164.319308 samples/sec accuracy=51.000845 loss=2.149530 lr=0.012636 Epoch[158] Batch [1899]/[3760] Speed: 162.552886 samples/sec accuracy=50.995888 loss=2.150026 lr=0.012627 Epoch[158] Batch [1949]/[3760] Speed: 165.849783 samples/sec accuracy=50.994391 loss=2.150868 lr=0.012619 Epoch[158] Batch [1999]/[3760] Speed: 163.902716 samples/sec accuracy=50.985156 loss=2.151152 lr=0.012610 Epoch[158] Batch [2049]/[3760] Speed: 163.600848 samples/sec accuracy=50.958841 loss=2.152092 lr=0.012602 Epoch[158] Batch [2099]/[3760] Speed: 165.741808 samples/sec accuracy=50.938244 loss=2.152657 lr=0.012593 Epoch[158] Batch [2149]/[3760] Speed: 164.511285 samples/sec accuracy=50.898983 loss=2.154312 lr=0.012585 Epoch[158] Batch [2199]/[3760] Speed: 163.790313 samples/sec accuracy=50.897727 loss=2.153464 lr=0.012576 Epoch[158] Batch [2249]/[3760] Speed: 164.942576 samples/sec accuracy=50.896528 loss=2.154129 lr=0.012568 Epoch[158] Batch [2299]/[3760] Speed: 163.479915 samples/sec accuracy=50.894022 loss=2.154576 lr=0.012559 Epoch[158] Batch [2349]/[3760] Speed: 163.532432 samples/sec accuracy=50.883644 loss=2.155124 lr=0.012550 Epoch[158] Batch [2399]/[3760] Speed: 165.500186 samples/sec accuracy=50.887370 loss=2.155113 lr=0.012542 Epoch[158] Batch [2449]/[3760] Speed: 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loss=2.151112 lr=0.012457 Epoch[158] Batch [2949]/[3760] Speed: 165.359619 samples/sec accuracy=50.981462 loss=2.150403 lr=0.012448 Epoch[158] Batch [2999]/[3760] Speed: 162.729463 samples/sec accuracy=50.968750 loss=2.150872 lr=0.012440 Epoch[158] Batch [3049]/[3760] Speed: 164.683541 samples/sec accuracy=50.972848 loss=2.151400 lr=0.012431 Epoch[158] Batch [3099]/[3760] Speed: 162.898417 samples/sec accuracy=50.998992 loss=2.149528 lr=0.012423 Epoch[158] Batch [3149]/[3760] Speed: 164.944790 samples/sec accuracy=50.995040 loss=2.149627 lr=0.012414 Epoch[158] Batch [3199]/[3760] Speed: 161.590492 samples/sec accuracy=51.007324 loss=2.149678 lr=0.012406 Epoch[158] Batch [3249]/[3760] Speed: 166.367641 samples/sec accuracy=51.016827 loss=2.149335 lr=0.012397 Epoch[158] Batch [3299]/[3760] Speed: 163.978846 samples/sec accuracy=51.008996 loss=2.149329 lr=0.012389 Epoch[158] Batch [3349]/[3760] Speed: 164.703734 samples/sec accuracy=51.027052 loss=2.148838 lr=0.012380 Epoch[158] Batch 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acc-top5=73.531250 Batch [0199]/[0303]: acc-top1=51.500000 acc-top5=75.375000 Batch [0249]/[0303]: acc-top1=51.106250 acc-top5=75.350000 Batch [0299]/[0303]: acc-top1=50.901042 acc-top5=75.270833 [Epoch 158] training: accuracy=50.981549 loss=2.149781 [Epoch 158] speed: 163 samples/sec time cost: 1587.621803 [Epoch 158] validation: acc-top1=50.778672 acc-top5=75.206271 loss=2.334397 Epoch[159] Batch [0049]/[3760] Speed: 116.399481 samples/sec accuracy=52.656250 loss=2.050013 lr=0.012302 Epoch[159] Batch [0099]/[3760] Speed: 161.963036 samples/sec accuracy=52.281250 loss=2.067324 lr=0.012293 Epoch[159] Batch [0149]/[3760] Speed: 164.684294 samples/sec accuracy=51.666667 loss=2.091427 lr=0.012285 Epoch[159] Batch [0199]/[3760] Speed: 164.285017 samples/sec accuracy=52.085938 loss=2.078730 lr=0.012277 Epoch[159] Batch [0249]/[3760] Speed: 162.238946 samples/sec accuracy=51.812500 loss=2.091600 lr=0.012268 Epoch[159] Batch [0299]/[3760] Speed: 165.855335 samples/sec accuracy=51.875000 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accuracy=51.765000 loss=2.110831 lr=0.012099 Epoch[159] Batch [1299]/[3760] Speed: 162.276851 samples/sec accuracy=51.731971 loss=2.111351 lr=0.012091 Epoch[159] Batch [1349]/[3760] Speed: 164.258565 samples/sec accuracy=51.732639 loss=2.110114 lr=0.012083 Epoch[159] Batch [1399]/[3760] Speed: 164.017085 samples/sec accuracy=51.649554 loss=2.114180 lr=0.012074 Epoch[159] Batch [1449]/[3760] Speed: 165.407808 samples/sec accuracy=51.634698 loss=2.113324 lr=0.012066 Epoch[159] Batch [1499]/[3760] Speed: 164.258500 samples/sec accuracy=51.609375 loss=2.114609 lr=0.012057 Epoch[159] Batch [1549]/[3760] Speed: 163.336910 samples/sec accuracy=51.596774 loss=2.115262 lr=0.012049 Epoch[159] Batch [1599]/[3760] Speed: 165.560644 samples/sec accuracy=51.588867 loss=2.116002 lr=0.012041 Epoch[159] Batch [1649]/[3760] Speed: 161.695683 samples/sec accuracy=51.542614 loss=2.116334 lr=0.012032 Epoch[159] Batch [1699]/[3760] Speed: 165.365297 samples/sec accuracy=51.510110 loss=2.117348 lr=0.012024 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loss=2.124659 lr=0.011865 Epoch[159] Batch [2699]/[3760] Speed: 163.759026 samples/sec accuracy=51.375000 loss=2.124460 lr=0.011856 Epoch[159] Batch [2749]/[3760] Speed: 163.424174 samples/sec accuracy=51.361932 loss=2.124961 lr=0.011848 Epoch[159] Batch [2799]/[3760] Speed: 165.829050 samples/sec accuracy=51.360491 loss=2.125420 lr=0.011840 Epoch[159] Batch [2849]/[3760] Speed: 164.595572 samples/sec accuracy=51.364035 loss=2.125363 lr=0.011831 Epoch[159] Batch [2899]/[3760] Speed: 164.751998 samples/sec accuracy=51.393319 loss=2.124481 lr=0.011823 Epoch[159] Batch [2949]/[3760] Speed: 163.634871 samples/sec accuracy=51.409428 loss=2.124117 lr=0.011815 Epoch[159] Batch [2999]/[3760] Speed: 162.855814 samples/sec accuracy=51.429688 loss=2.122691 lr=0.011806 Epoch[159] Batch [3049]/[3760] Speed: 166.789269 samples/sec accuracy=51.447234 loss=2.122317 lr=0.011798 Epoch[159] Batch [3099]/[3760] Speed: 166.205587 samples/sec accuracy=51.448085 loss=2.121718 lr=0.011790 Epoch[159] Batch 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accuracy=51.496962 loss=2.120119 lr=0.011707 Epoch[159] Batch [3649]/[3760] Speed: 162.808969 samples/sec accuracy=51.498716 loss=2.119981 lr=0.011698 Epoch[159] Batch [3699]/[3760] Speed: 165.719691 samples/sec accuracy=51.479307 loss=2.121054 lr=0.011690 Epoch[159] Batch [3749]/[3760] Speed: 175.765178 samples/sec accuracy=51.491250 loss=2.120472 lr=0.011682 Batch [0049]/[0303]: acc-top1=50.968750 acc-top5=74.437500 Batch [0099]/[0303]: acc-top1=48.203125 acc-top5=73.468750 Batch [0149]/[0303]: acc-top1=49.791667 acc-top5=74.604167 Batch [0199]/[0303]: acc-top1=52.460938 acc-top5=76.203125 Batch [0249]/[0303]: acc-top1=52.018750 acc-top5=76.018750 Batch [0299]/[0303]: acc-top1=51.828125 acc-top5=76.197917 [Epoch 159] training: accuracy=51.491855 loss=2.120568 [Epoch 159] speed: 163 samples/sec time cost: 1587.798214 [Epoch 159] validation: acc-top1=51.779084 acc-top5=76.149959 loss=2.251370 Epoch[160] Batch [0049]/[3759] Speed: 115.238339 samples/sec accuracy=51.750000 loss=2.073571 lr=0.011672 Epoch[160] Batch [0099]/[3759] Speed: 163.867335 samples/sec accuracy=52.984375 loss=2.044747 lr=0.011664 Epoch[160] Batch [0149]/[3759] Speed: 164.727936 samples/sec accuracy=52.322917 loss=2.076235 lr=0.011655 Epoch[160] Batch [0199]/[3759] Speed: 164.819394 samples/sec accuracy=52.234375 loss=2.076654 lr=0.011647 Epoch[160] Batch [0249]/[3759] Speed: 162.345103 samples/sec accuracy=52.218750 loss=2.081637 lr=0.011639 Epoch[160] Batch [0299]/[3759] Speed: 164.677924 samples/sec accuracy=52.192708 loss=2.082741 lr=0.011631 Epoch[160] Batch [0349]/[3759] Speed: 164.349614 samples/sec accuracy=52.156250 loss=2.090308 lr=0.011622 Epoch[160] Batch [0399]/[3759] Speed: 164.740484 samples/sec accuracy=51.929688 loss=2.099537 lr=0.011614 Epoch[160] Batch [0449]/[3759] Speed: 165.104119 samples/sec accuracy=51.861111 loss=2.103526 lr=0.011606 Epoch[160] Batch [0499]/[3759] Speed: 164.206972 samples/sec accuracy=51.881250 loss=2.102574 lr=0.011598 Epoch[160] Batch [0549]/[3759] 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accuracy=52.050000 loss=2.095904 lr=0.011515 Epoch[160] Batch [1049]/[3759] Speed: 164.522854 samples/sec accuracy=52.095238 loss=2.094232 lr=0.011507 Epoch[160] Batch [1099]/[3759] Speed: 162.676620 samples/sec accuracy=52.088068 loss=2.094777 lr=0.011499 Epoch[160] Batch [1149]/[3759] Speed: 164.570049 samples/sec accuracy=51.995924 loss=2.098693 lr=0.011490 Epoch[160] Batch [1199]/[3759] Speed: 165.518814 samples/sec accuracy=52.002604 loss=2.097892 lr=0.011482 Epoch[160] Batch [1249]/[3759] Speed: 163.409633 samples/sec accuracy=51.985000 loss=2.097857 lr=0.011474 Epoch[160] Batch [1299]/[3759] Speed: 165.561484 samples/sec accuracy=52.019231 loss=2.098276 lr=0.011466 Epoch[160] Batch [1349]/[3759] Speed: 165.062496 samples/sec accuracy=52.059028 loss=2.095305 lr=0.011457 Epoch[160] Batch [1399]/[3759] Speed: 163.401841 samples/sec accuracy=52.093750 loss=2.093408 lr=0.011449 Epoch[160] Batch [1449]/[3759] Speed: 164.153328 samples/sec accuracy=52.084052 loss=2.093774 lr=0.011441 Epoch[160] Batch [1499]/[3759] Speed: 162.964824 samples/sec accuracy=52.067708 loss=2.094612 lr=0.011433 Epoch[160] Batch [1549]/[3759] Speed: 165.994974 samples/sec accuracy=52.046371 loss=2.095038 lr=0.011425 Epoch[160] Batch [1599]/[3759] Speed: 162.943700 samples/sec accuracy=52.076172 loss=2.095997 lr=0.011416 Epoch[160] Batch [1649]/[3759] Speed: 164.187112 samples/sec accuracy=52.099432 loss=2.096721 lr=0.011408 Epoch[160] Batch [1699]/[3759] Speed: 165.163695 samples/sec accuracy=52.072610 loss=2.097063 lr=0.011400 Epoch[160] Batch [1749]/[3759] Speed: 164.465749 samples/sec accuracy=52.058036 loss=2.097374 lr=0.011392 Epoch[160] Batch [1799]/[3759] Speed: 163.979607 samples/sec accuracy=52.055556 loss=2.097492 lr=0.011384 Epoch[160] Batch [1849]/[3759] Speed: 166.210130 samples/sec accuracy=52.032939 loss=2.097979 lr=0.011375 Epoch[160] Batch [1899]/[3759] Speed: 164.426907 samples/sec accuracy=52.018914 loss=2.097891 lr=0.011367 Epoch[160] Batch [1949]/[3759] Speed: 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loss=2.100382 lr=0.011286 Epoch[160] Batch [2449]/[3759] Speed: 163.372528 samples/sec accuracy=51.908801 loss=2.100208 lr=0.011277 Epoch[160] Batch [2499]/[3759] Speed: 164.616018 samples/sec accuracy=51.902500 loss=2.100879 lr=0.011269 Epoch[160] Batch [2549]/[3759] Speed: 162.557199 samples/sec accuracy=51.926471 loss=2.100179 lr=0.011261 Epoch[160] Batch [2599]/[3759] Speed: 162.292778 samples/sec accuracy=51.941106 loss=2.100033 lr=0.011253 Epoch[160] Batch [2649]/[3759] Speed: 165.122440 samples/sec accuracy=51.939858 loss=2.099966 lr=0.011245 Epoch[160] Batch [2699]/[3759] Speed: 163.313124 samples/sec accuracy=51.951389 loss=2.100145 lr=0.011237 Epoch[160] Batch [2749]/[3759] Speed: 164.328221 samples/sec accuracy=51.941477 loss=2.100438 lr=0.011228 Epoch[160] Batch [2799]/[3759] Speed: 164.820768 samples/sec accuracy=51.952567 loss=2.099710 lr=0.011220 Epoch[160] Batch [2849]/[3759] Speed: 156.108930 samples/sec accuracy=51.959978 loss=2.099581 lr=0.011212 Epoch[160] Batch 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accuracy=51.948228 loss=2.099510 lr=0.011131 Epoch[160] Batch [3399]/[3759] Speed: 163.287766 samples/sec accuracy=51.961857 loss=2.098726 lr=0.011123 Epoch[160] Batch [3449]/[3759] Speed: 165.882376 samples/sec accuracy=51.957428 loss=2.099041 lr=0.011115 Epoch[160] Batch [3499]/[3759] Speed: 163.622046 samples/sec accuracy=51.957589 loss=2.098972 lr=0.011107 Epoch[160] Batch [3549]/[3759] Speed: 165.429166 samples/sec accuracy=51.959507 loss=2.098968 lr=0.011098 Epoch[160] Batch [3599]/[3759] Speed: 164.805921 samples/sec accuracy=51.945312 loss=2.099705 lr=0.011090 Epoch[160] Batch [3649]/[3759] Speed: 163.909371 samples/sec accuracy=51.952911 loss=2.099769 lr=0.011082 Epoch[160] Batch [3699]/[3759] Speed: 163.782398 samples/sec accuracy=51.953547 loss=2.099997 lr=0.011074 Epoch[160] Batch [3749]/[3759] Speed: 177.150697 samples/sec accuracy=51.962917 loss=2.100099 lr=0.011066 Batch [0049]/[0303]: acc-top1=54.125000 acc-top5=76.218750 Batch [0099]/[0303]: acc-top1=50.171875 acc-top5=74.375000 Batch [0149]/[0303]: acc-top1=51.114583 acc-top5=75.031250 Batch [0199]/[0303]: acc-top1=53.445312 acc-top5=76.507812 Batch [0249]/[0303]: acc-top1=52.625000 acc-top5=75.975000 Batch [0299]/[0303]: acc-top1=52.114583 acc-top5=76.036458 [Epoch 160] training: accuracy=51.956554 loss=2.100252 [Epoch 160] speed: 163 samples/sec time cost: 1586.627510 [Epoch 160] validation: acc-top1=52.073020 acc-top5=76.010726 loss=2.226931 Epoch[161] Batch [0049]/[3760] Speed: 114.820043 samples/sec accuracy=54.656250 loss=1.986342 lr=0.011057 Epoch[161] Batch [0099]/[3760] Speed: 164.288866 samples/sec accuracy=54.031250 loss=2.014912 lr=0.011048 Epoch[161] Batch [0149]/[3760] Speed: 161.820591 samples/sec accuracy=53.739583 loss=2.026434 lr=0.011040 Epoch[161] Batch [0199]/[3760] Speed: 165.154084 samples/sec accuracy=53.671875 loss=2.029858 lr=0.011032 Epoch[161] Batch [0249]/[3760] Speed: 162.769104 samples/sec accuracy=53.618750 loss=2.030311 lr=0.011024 Epoch[161] Batch 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accuracy=52.772917 loss=2.060101 lr=0.010944 Epoch[161] Batch [0799]/[3760] Speed: 162.458537 samples/sec accuracy=52.763672 loss=2.060340 lr=0.010935 Epoch[161] Batch [0849]/[3760] Speed: 165.996325 samples/sec accuracy=52.808824 loss=2.058715 lr=0.010927 Epoch[161] Batch [0899]/[3760] Speed: 166.004034 samples/sec accuracy=52.763889 loss=2.060196 lr=0.010919 Epoch[161] Batch [0949]/[3760] Speed: 162.420970 samples/sec accuracy=52.802632 loss=2.059740 lr=0.010911 Epoch[161] Batch [0999]/[3760] Speed: 164.782074 samples/sec accuracy=52.834375 loss=2.058980 lr=0.010903 Epoch[161] Batch [1049]/[3760] Speed: 163.643879 samples/sec accuracy=52.891369 loss=2.055417 lr=0.010895 Epoch[161] Batch [1099]/[3760] Speed: 164.519817 samples/sec accuracy=52.863636 loss=2.056410 lr=0.010887 Epoch[161] Batch [1149]/[3760] Speed: 164.046328 samples/sec accuracy=52.915761 loss=2.053087 lr=0.010879 Epoch[161] Batch [1199]/[3760] Speed: 163.873203 samples/sec accuracy=52.934896 loss=2.052524 lr=0.010871 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accuracy=52.524194 loss=2.074852 lr=0.010568 Epoch[161] Batch [3149]/[3760] Speed: 163.633147 samples/sec accuracy=52.550099 loss=2.073916 lr=0.010560 Epoch[161] Batch [3199]/[3760] Speed: 164.814909 samples/sec accuracy=52.565430 loss=2.074031 lr=0.010552 Epoch[161] Batch [3249]/[3760] Speed: 165.668465 samples/sec accuracy=52.564423 loss=2.073984 lr=0.010544 Epoch[161] Batch [3299]/[3760] Speed: 163.431975 samples/sec accuracy=52.549242 loss=2.074367 lr=0.010536 Epoch[161] Batch [3349]/[3760] Speed: 165.654143 samples/sec accuracy=52.525653 loss=2.075410 lr=0.010528 Epoch[161] Batch [3399]/[3760] Speed: 159.951364 samples/sec accuracy=52.517923 loss=2.076027 lr=0.010520 Epoch[161] Batch [3449]/[3760] Speed: 164.783996 samples/sec accuracy=52.507699 loss=2.076230 lr=0.010512 Epoch[161] Batch [3499]/[3760] Speed: 163.713013 samples/sec accuracy=52.479911 loss=2.077264 lr=0.010505 Epoch[161] Batch [3549]/[3760] Speed: 163.741206 samples/sec accuracy=52.485035 loss=2.077173 lr=0.010497 Epoch[161] Batch [3599]/[3760] Speed: 164.632038 samples/sec accuracy=52.456163 loss=2.078182 lr=0.010489 Epoch[161] Batch [3649]/[3760] Speed: 163.616601 samples/sec accuracy=52.470890 loss=2.077445 lr=0.010481 Epoch[161] Batch [3699]/[3760] Speed: 163.949763 samples/sec accuracy=52.481419 loss=2.077232 lr=0.010473 Epoch[161] Batch [3749]/[3760] Speed: 176.963661 samples/sec accuracy=52.452917 loss=2.078470 lr=0.010465 Batch [0049]/[0303]: acc-top1=52.812500 acc-top5=75.593750 Batch [0099]/[0303]: acc-top1=49.593750 acc-top5=73.937500 Batch [0149]/[0303]: acc-top1=50.552083 acc-top5=74.656250 Batch [0199]/[0303]: acc-top1=53.164062 acc-top5=76.367188 Batch [0249]/[0303]: acc-top1=52.362500 acc-top5=76.025000 Batch [0299]/[0303]: acc-top1=52.093750 acc-top5=76.109375 [Epoch 161] training: accuracy=52.450133 loss=2.078530 [Epoch 161] speed: 163 samples/sec time cost: 1587.203647 [Epoch 161] validation: acc-top1=52.067863 acc-top5=76.129332 loss=2.241359 Epoch[162] Batch [0049]/[3759] 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accuracy=53.078125 loss=2.040924 lr=0.010385 Epoch[162] Batch [0549]/[3759] Speed: 164.609223 samples/sec accuracy=53.136364 loss=2.039692 lr=0.010377 Epoch[162] Batch [0599]/[3759] Speed: 163.528017 samples/sec accuracy=53.098958 loss=2.038671 lr=0.010369 Epoch[162] Batch [0649]/[3759] Speed: 164.583172 samples/sec accuracy=53.093750 loss=2.037098 lr=0.010361 Epoch[162] Batch [0699]/[3759] Speed: 165.847713 samples/sec accuracy=53.142857 loss=2.037834 lr=0.010353 Epoch[162] Batch [0749]/[3759] Speed: 163.347380 samples/sec accuracy=53.168750 loss=2.037659 lr=0.010345 Epoch[162] Batch [0799]/[3759] Speed: 164.914697 samples/sec accuracy=53.214844 loss=2.037279 lr=0.010338 Epoch[162] Batch [0849]/[3759] Speed: 164.119602 samples/sec accuracy=53.167279 loss=2.037118 lr=0.010330 Epoch[162] Batch [0899]/[3759] Speed: 164.898114 samples/sec accuracy=53.215278 loss=2.038100 lr=0.010322 Epoch[162] Batch [0949]/[3759] Speed: 165.844555 samples/sec accuracy=53.213816 loss=2.038626 lr=0.010314 Epoch[162] Batch [0999]/[3759] Speed: 163.711734 samples/sec accuracy=53.220312 loss=2.037019 lr=0.010306 Epoch[162] Batch [1049]/[3759] Speed: 164.625161 samples/sec accuracy=53.178571 loss=2.038214 lr=0.010298 Epoch[162] Batch [1099]/[3759] Speed: 164.951800 samples/sec accuracy=53.203125 loss=2.038180 lr=0.010290 Epoch[162] Batch [1149]/[3759] Speed: 164.001186 samples/sec accuracy=53.220109 loss=2.037436 lr=0.010283 Epoch[162] Batch [1199]/[3759] Speed: 163.567998 samples/sec accuracy=53.230469 loss=2.037255 lr=0.010275 Epoch[162] Batch [1249]/[3759] Speed: 164.526505 samples/sec accuracy=53.166250 loss=2.040215 lr=0.010267 Epoch[162] Batch [1299]/[3759] Speed: 163.955397 samples/sec accuracy=53.150240 loss=2.040697 lr=0.010259 Epoch[162] Batch [1349]/[3759] Speed: 164.719047 samples/sec accuracy=53.188657 loss=2.039387 lr=0.010251 Epoch[162] Batch [1399]/[3759] Speed: 163.896560 samples/sec accuracy=53.151786 loss=2.040968 lr=0.010243 Epoch[162] Batch [1449]/[3759] Speed: 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loss=2.044280 lr=0.010165 Epoch[162] Batch [1949]/[3759] Speed: 164.943184 samples/sec accuracy=53.083333 loss=2.042895 lr=0.010158 Epoch[162] Batch [1999]/[3759] Speed: 164.263003 samples/sec accuracy=53.087500 loss=2.042554 lr=0.010150 Epoch[162] Batch [2049]/[3759] Speed: 163.078783 samples/sec accuracy=53.109756 loss=2.042481 lr=0.010142 Epoch[162] Batch [2099]/[3759] Speed: 165.019590 samples/sec accuracy=53.119048 loss=2.042095 lr=0.010134 Epoch[162] Batch [2149]/[3759] Speed: 164.619398 samples/sec accuracy=53.087936 loss=2.042891 lr=0.010126 Epoch[162] Batch [2199]/[3759] Speed: 163.906639 samples/sec accuracy=53.074574 loss=2.043654 lr=0.010119 Epoch[162] Batch [2249]/[3759] Speed: 164.161488 samples/sec accuracy=53.068056 loss=2.044270 lr=0.010111 Epoch[162] Batch [2299]/[3759] Speed: 162.924099 samples/sec accuracy=53.069973 loss=2.043578 lr=0.010103 Epoch[162] Batch [2349]/[3759] Speed: 163.098836 samples/sec accuracy=53.047872 loss=2.045327 lr=0.010095 Epoch[162] Batch 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accuracy=52.928728 loss=2.049701 lr=0.010018 Epoch[162] Batch [2899]/[3759] Speed: 162.107134 samples/sec accuracy=52.928341 loss=2.049710 lr=0.010010 Epoch[162] Batch [2949]/[3759] Speed: 164.198412 samples/sec accuracy=52.944386 loss=2.049377 lr=0.010002 Epoch[162] Batch [2999]/[3759] Speed: 163.451217 samples/sec accuracy=52.917708 loss=2.050131 lr=0.009995 Epoch[162] Batch [3049]/[3759] Speed: 162.291279 samples/sec accuracy=52.959016 loss=2.048089 lr=0.009987 Epoch[162] Batch [3099]/[3759] Speed: 164.957423 samples/sec accuracy=52.952117 loss=2.048903 lr=0.009979 Epoch[162] Batch [3149]/[3759] Speed: 163.523570 samples/sec accuracy=52.936012 loss=2.049594 lr=0.009971 Epoch[162] Batch [3199]/[3759] Speed: 164.401101 samples/sec accuracy=52.925293 loss=2.050270 lr=0.009964 Epoch[162] Batch [3249]/[3759] Speed: 164.352402 samples/sec accuracy=52.924038 loss=2.050022 lr=0.009956 Epoch[162] Batch [3299]/[3759] Speed: 161.469707 samples/sec accuracy=52.925189 loss=2.050078 lr=0.009948 Epoch[162] Batch [3349]/[3759] Speed: 162.230116 samples/sec accuracy=52.951026 loss=2.049179 lr=0.009940 Epoch[162] Batch [3399]/[3759] Speed: 165.761625 samples/sec accuracy=52.968750 loss=2.048831 lr=0.009933 Epoch[162] Batch [3449]/[3759] Speed: 163.894038 samples/sec accuracy=52.981884 loss=2.048035 lr=0.009925 Epoch[162] Batch [3499]/[3759] Speed: 165.068535 samples/sec accuracy=52.983929 loss=2.047881 lr=0.009917 Epoch[162] Batch [3549]/[3759] Speed: 162.842694 samples/sec accuracy=52.973151 loss=2.047851 lr=0.009910 Epoch[162] Batch [3599]/[3759] Speed: 163.903891 samples/sec accuracy=52.975694 loss=2.047972 lr=0.009902 Epoch[162] Batch [3649]/[3759] Speed: 164.961010 samples/sec accuracy=52.976027 loss=2.047911 lr=0.009894 Epoch[162] Batch [3699]/[3759] Speed: 162.809937 samples/sec accuracy=52.967905 loss=2.048078 lr=0.009886 Epoch[162] Batch [3749]/[3759] Speed: 176.000124 samples/sec accuracy=52.961667 loss=2.048702 lr=0.009879 Batch [0049]/[0303]: acc-top1=52.031250 acc-top5=75.093750 Batch [0099]/[0303]: acc-top1=49.921875 acc-top5=74.375000 Batch [0149]/[0303]: acc-top1=51.406250 acc-top5=75.104167 Batch [0199]/[0303]: acc-top1=53.968750 acc-top5=76.843750 Batch [0249]/[0303]: acc-top1=53.318750 acc-top5=76.643750 Batch [0299]/[0303]: acc-top1=52.817708 acc-top5=76.593750 [Epoch 162] training: accuracy=52.960395 loss=2.048776 [Epoch 162] speed: 163 samples/sec time cost: 1588.356585 [Epoch 162] validation: acc-top1=52.794967 acc-top5=76.557343 loss=2.198398 Epoch[163] Batch [0049]/[3760] Speed: 115.485118 samples/sec accuracy=53.625000 loss=2.009129 lr=0.009870 Epoch[163] Batch [0099]/[3760] Speed: 165.055793 samples/sec accuracy=53.546875 loss=2.012162 lr=0.009862 Epoch[163] Batch [0149]/[3760] Speed: 163.251986 samples/sec accuracy=53.072917 loss=2.036538 lr=0.009854 Epoch[163] Batch [0199]/[3760] Speed: 164.280559 samples/sec accuracy=53.343750 loss=2.020403 lr=0.009847 Epoch[163] Batch [0249]/[3760] Speed: 165.737965 samples/sec accuracy=53.531250 loss=2.015106 lr=0.009839 Epoch[163] Batch [0299]/[3760] Speed: 164.190293 samples/sec accuracy=53.359375 loss=2.014666 lr=0.009831 Epoch[163] Batch [0349]/[3760] Speed: 163.745015 samples/sec accuracy=53.750000 loss=2.006255 lr=0.009824 Epoch[163] Batch [0399]/[3760] Speed: 163.666486 samples/sec accuracy=53.726562 loss=2.010208 lr=0.009816 Epoch[163] Batch [0449]/[3760] Speed: 164.135115 samples/sec accuracy=53.697917 loss=2.011239 lr=0.009808 Epoch[163] Batch [0499]/[3760] Speed: 162.946863 samples/sec accuracy=53.559375 loss=2.014999 lr=0.009801 Epoch[163] Batch [0549]/[3760] Speed: 163.689043 samples/sec accuracy=53.576705 loss=2.012785 lr=0.009793 Epoch[163] Batch [0599]/[3760] Speed: 162.952027 samples/sec accuracy=53.549479 loss=2.014052 lr=0.009785 Epoch[163] Batch [0649]/[3760] Speed: 163.979955 samples/sec accuracy=53.552885 loss=2.016605 lr=0.009778 Epoch[163] Batch [0699]/[3760] Speed: 164.734924 samples/sec accuracy=53.636161 loss=2.017592 lr=0.009770 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accuracy=53.470553 loss=2.023733 lr=0.009481 Epoch[163] Batch [2649]/[3760] Speed: 165.644620 samples/sec accuracy=53.466392 loss=2.023070 lr=0.009473 Epoch[163] Batch [2699]/[3760] Speed: 162.320496 samples/sec accuracy=53.461227 loss=2.023523 lr=0.009466 Epoch[163] Batch [2749]/[3760] Speed: 164.258947 samples/sec accuracy=53.454545 loss=2.023798 lr=0.009458 Epoch[163] Batch [2799]/[3760] Speed: 163.985844 samples/sec accuracy=53.448103 loss=2.024114 lr=0.009451 Epoch[163] Batch [2849]/[3760] Speed: 164.921703 samples/sec accuracy=53.439693 loss=2.024477 lr=0.009443 Epoch[163] Batch [2899]/[3760] Speed: 164.607513 samples/sec accuracy=53.426185 loss=2.024296 lr=0.009436 Epoch[163] Batch [2949]/[3760] Speed: 163.932340 samples/sec accuracy=53.420551 loss=2.024049 lr=0.009428 Epoch[163] Batch [2999]/[3760] Speed: 163.163487 samples/sec accuracy=53.389062 loss=2.024725 lr=0.009420 Epoch[163] Batch [3049]/[3760] Speed: 161.488744 samples/sec accuracy=53.408811 loss=2.024165 lr=0.009413 Epoch[163] Batch [3099]/[3760] Speed: 164.826120 samples/sec accuracy=53.405746 loss=2.024388 lr=0.009405 Epoch[163] Batch [3149]/[3760] Speed: 164.717311 samples/sec accuracy=53.404762 loss=2.024538 lr=0.009398 Epoch[163] Batch [3199]/[3760] Speed: 163.667989 samples/sec accuracy=53.387207 loss=2.025360 lr=0.009390 Epoch[163] Batch [3249]/[3760] Speed: 164.555087 samples/sec accuracy=53.393750 loss=2.025564 lr=0.009383 Epoch[163] Batch [3299]/[3760] Speed: 163.896704 samples/sec accuracy=53.387311 loss=2.026201 lr=0.009375 Epoch[163] Batch [3349]/[3760] Speed: 165.898191 samples/sec accuracy=53.405784 loss=2.025853 lr=0.009368 Epoch[163] Batch [3399]/[3760] Speed: 163.376199 samples/sec accuracy=53.426930 loss=2.025385 lr=0.009360 Epoch[163] Batch [3449]/[3760] Speed: 162.777426 samples/sec accuracy=53.416667 loss=2.025683 lr=0.009353 Epoch[163] Batch [3499]/[3760] Speed: 164.850577 samples/sec accuracy=53.418750 loss=2.025304 lr=0.009345 Epoch[163] Batch [3549]/[3760] Speed: 162.396990 samples/sec accuracy=53.430018 loss=2.025293 lr=0.009338 Epoch[163] Batch [3599]/[3760] Speed: 161.960151 samples/sec accuracy=53.405382 loss=2.026622 lr=0.009330 Epoch[163] Batch [3649]/[3760] Speed: 163.993884 samples/sec accuracy=53.421233 loss=2.026470 lr=0.009323 Epoch[163] Batch [3699]/[3760] Speed: 164.501411 samples/sec accuracy=53.426520 loss=2.026107 lr=0.009315 Epoch[163] Batch [3749]/[3760] Speed: 176.613528 samples/sec accuracy=53.455417 loss=2.025381 lr=0.009308 Batch [0049]/[0303]: acc-top1=52.968750 acc-top5=76.250000 Batch [0099]/[0303]: acc-top1=49.906250 acc-top5=74.859375 Batch [0149]/[0303]: acc-top1=51.072917 acc-top5=75.302083 Batch [0199]/[0303]: acc-top1=53.984375 acc-top5=77.007812 Batch [0249]/[0303]: acc-top1=53.362500 acc-top5=76.700000 Batch [0299]/[0303]: acc-top1=53.041667 acc-top5=76.942708 [Epoch 163] training: accuracy=53.455785 loss=2.025636 [Epoch 163] speed: 163 samples/sec time cost: 1588.427649 [Epoch 163] validation: acc-top1=52.996081 acc-top5=76.913160 loss=2.215715 Epoch[164] Batch [0049]/[3760] Speed: 115.282825 samples/sec accuracy=55.812500 loss=1.930254 lr=0.009299 Epoch[164] Batch [0099]/[3760] Speed: 163.489695 samples/sec accuracy=55.140625 loss=1.944794 lr=0.009291 Epoch[164] Batch [0149]/[3760] Speed: 163.564434 samples/sec accuracy=54.739583 loss=1.959468 lr=0.009284 Epoch[164] Batch [0199]/[3760] Speed: 165.128273 samples/sec accuracy=54.453125 loss=1.977974 lr=0.009276 Epoch[164] Batch [0249]/[3760] Speed: 164.254158 samples/sec accuracy=54.300000 loss=1.987929 lr=0.009269 Epoch[164] Batch [0299]/[3760] Speed: 161.901004 samples/sec accuracy=54.317708 loss=1.988821 lr=0.009261 Epoch[164] Batch [0349]/[3760] Speed: 166.300956 samples/sec accuracy=54.254464 loss=1.992045 lr=0.009254 Epoch[164] Batch [0399]/[3760] Speed: 163.561544 samples/sec accuracy=54.382812 loss=1.984551 lr=0.009246 Epoch[164] Batch [0449]/[3760] Speed: 164.578849 samples/sec accuracy=54.395833 loss=1.984839 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Speed: 163.979871 samples/sec accuracy=54.250000 loss=1.986360 lr=0.009164 Epoch[164] Batch [0999]/[3760] Speed: 164.836996 samples/sec accuracy=54.256250 loss=1.987149 lr=0.009157 Epoch[164] Batch [1049]/[3760] Speed: 164.024149 samples/sec accuracy=54.244048 loss=1.988201 lr=0.009149 Epoch[164] Batch [1099]/[3760] Speed: 164.546798 samples/sec accuracy=54.241477 loss=1.987587 lr=0.009142 Epoch[164] Batch [1149]/[3760] Speed: 162.625573 samples/sec accuracy=54.229620 loss=1.989771 lr=0.009135 Epoch[164] Batch [1199]/[3760] Speed: 164.773731 samples/sec accuracy=54.151042 loss=1.990317 lr=0.009127 Epoch[164] Batch [1249]/[3760] Speed: 165.116886 samples/sec accuracy=54.192500 loss=1.989352 lr=0.009120 Epoch[164] Batch [1299]/[3760] Speed: 164.800656 samples/sec accuracy=54.204327 loss=1.989644 lr=0.009112 Epoch[164] Batch [1349]/[3760] Speed: 163.558313 samples/sec accuracy=54.165509 loss=1.990721 lr=0.009105 Epoch[164] Batch [1399]/[3760] Speed: 164.094669 samples/sec accuracy=54.151786 loss=1.989907 lr=0.009097 Epoch[164] Batch [1449]/[3760] Speed: 163.570901 samples/sec accuracy=54.144397 loss=1.991730 lr=0.009090 Epoch[164] Batch [1499]/[3760] Speed: 163.939997 samples/sec accuracy=54.162500 loss=1.991248 lr=0.009083 Epoch[164] Batch [1549]/[3760] Speed: 165.370264 samples/sec accuracy=54.149194 loss=1.992825 lr=0.009075 Epoch[164] Batch [1599]/[3760] Speed: 164.429810 samples/sec accuracy=54.139648 loss=1.993334 lr=0.009068 Epoch[164] Batch [1649]/[3760] Speed: 164.556395 samples/sec accuracy=54.102273 loss=1.995376 lr=0.009060 Epoch[164] Batch [1699]/[3760] Speed: 163.040235 samples/sec accuracy=54.068934 loss=1.996474 lr=0.009053 Epoch[164] Batch [1749]/[3760] Speed: 163.783821 samples/sec accuracy=54.047321 loss=1.997397 lr=0.009046 Epoch[164] Batch [1799]/[3760] Speed: 163.886235 samples/sec accuracy=54.046007 loss=1.998544 lr=0.009038 Epoch[164] Batch [1849]/[3760] Speed: 163.277657 samples/sec accuracy=54.054054 loss=1.998040 lr=0.009031 Epoch[164] Batch [1899]/[3760] Speed: 163.873185 samples/sec accuracy=54.064145 loss=1.997276 lr=0.009023 Epoch[164] Batch [1949]/[3760] Speed: 165.053991 samples/sec accuracy=54.095353 loss=1.996212 lr=0.009016 Epoch[164] Batch [1999]/[3760] Speed: 163.554421 samples/sec accuracy=54.058594 loss=1.995917 lr=0.009009 Epoch[164] Batch [2049]/[3760] Speed: 163.454543 samples/sec accuracy=54.051829 loss=1.996704 lr=0.009001 Epoch[164] Batch [2099]/[3760] Speed: 163.718804 samples/sec accuracy=53.982143 loss=1.998858 lr=0.008994 Epoch[164] Batch [2149]/[3760] Speed: 165.385103 samples/sec accuracy=53.980378 loss=1.998236 lr=0.008987 Epoch[164] Batch [2199]/[3760] Speed: 165.310898 samples/sec accuracy=53.982955 loss=1.998534 lr=0.008979 Epoch[164] Batch [2249]/[3760] Speed: 164.228037 samples/sec accuracy=54.013889 loss=1.997320 lr=0.008972 Epoch[164] Batch [2299]/[3760] Speed: 165.271409 samples/sec accuracy=54.010190 loss=1.997828 lr=0.008964 Epoch[164] Batch [2349]/[3760] Speed: 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loss=1.997855 lr=0.008891 Epoch[164] Batch [2849]/[3760] Speed: 164.056205 samples/sec accuracy=53.956140 loss=1.997808 lr=0.008883 Epoch[164] Batch [2899]/[3760] Speed: 164.088175 samples/sec accuracy=53.954203 loss=1.997286 lr=0.008876 Epoch[164] Batch [2949]/[3760] Speed: 165.074273 samples/sec accuracy=53.966631 loss=1.996760 lr=0.008869 Epoch[164] Batch [2999]/[3760] Speed: 162.418008 samples/sec accuracy=53.972396 loss=1.996482 lr=0.008861 Epoch[164] Batch [3049]/[3760] Speed: 162.877231 samples/sec accuracy=54.002049 loss=1.995550 lr=0.008854 Epoch[164] Batch [3099]/[3760] Speed: 163.175502 samples/sec accuracy=53.991431 loss=1.996206 lr=0.008847 Epoch[164] Batch [3149]/[3760] Speed: 164.240282 samples/sec accuracy=53.981647 loss=1.996914 lr=0.008840 Epoch[164] Batch [3199]/[3760] Speed: 163.130637 samples/sec accuracy=53.993652 loss=1.997281 lr=0.008832 Epoch[164] Batch [3249]/[3760] Speed: 167.518029 samples/sec accuracy=54.017788 loss=1.997347 lr=0.008825 Epoch[164] Batch 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accuracy=54.016250 loss=1.998033 lr=0.008752 Batch [0049]/[0303]: acc-top1=54.531250 acc-top5=75.906250 Batch [0099]/[0303]: acc-top1=51.796875 acc-top5=75.218750 Batch [0149]/[0303]: acc-top1=52.947917 acc-top5=76.156250 Batch [0199]/[0303]: acc-top1=55.140625 acc-top5=77.617188 Batch [0249]/[0303]: acc-top1=54.393750 acc-top5=77.243750 Batch [0299]/[0303]: acc-top1=53.817708 acc-top5=77.255208 [Epoch 164] training: accuracy=54.018035 loss=1.998045 [Epoch 164] speed: 163 samples/sec time cost: 1587.974413 [Epoch 164] validation: acc-top1=53.723185 acc-top5=77.232880 loss=2.190120 Epoch[165] Batch [0049]/[3759] Speed: 115.163374 samples/sec accuracy=55.625000 loss=1.961652 lr=0.008743 Epoch[165] Batch [0099]/[3759] Speed: 164.251008 samples/sec accuracy=55.203125 loss=1.970390 lr=0.008736 Epoch[165] Batch [0149]/[3759] Speed: 164.835047 samples/sec accuracy=55.197917 loss=1.953007 lr=0.008729 Epoch[165] Batch [0199]/[3759] Speed: 163.965047 samples/sec accuracy=55.304688 loss=1.943981 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accuracy=54.550000 loss=1.974276 lr=0.008247 Epoch[165] Batch [3549]/[3759] Speed: 163.878905 samples/sec accuracy=54.536092 loss=1.974812 lr=0.008240 Epoch[165] Batch [3599]/[3759] Speed: 165.361271 samples/sec accuracy=54.525174 loss=1.974680 lr=0.008233 Epoch[165] Batch [3649]/[3759] Speed: 165.328410 samples/sec accuracy=54.513699 loss=1.974786 lr=0.008226 Epoch[165] Batch [3699]/[3759] Speed: 163.429969 samples/sec accuracy=54.513936 loss=1.974580 lr=0.008219 Epoch[165] Batch [3749]/[3759] Speed: 179.818332 samples/sec accuracy=54.490417 loss=1.975706 lr=0.008211 Batch [0049]/[0303]: acc-top1=53.156250 acc-top5=75.468750 Batch [0099]/[0303]: acc-top1=51.203125 acc-top5=75.312500 Batch [0149]/[0303]: acc-top1=52.770833 acc-top5=76.166667 Batch [0199]/[0303]: acc-top1=55.031250 acc-top5=77.656250 Batch [0249]/[0303]: acc-top1=54.218750 acc-top5=77.450000 Batch [0299]/[0303]: acc-top1=53.822917 acc-top5=77.531250 [Epoch 165] training: accuracy=54.484653 loss=1.975964 [Epoch 165] speed: 163 samples/sec time cost: 1584.409776 [Epoch 165] validation: acc-top1=53.769596 acc-top5=77.526815 loss=2.155669 Epoch[166] Batch [0049]/[3760] Speed: 113.406125 samples/sec accuracy=55.843750 loss=1.915226 lr=0.008203 Epoch[166] Batch [0099]/[3760] Speed: 166.993476 samples/sec accuracy=56.187500 loss=1.923918 lr=0.008196 Epoch[166] Batch [0149]/[3760] Speed: 162.683367 samples/sec accuracy=56.052083 loss=1.934437 lr=0.008189 Epoch[166] Batch [0199]/[3760] Speed: 163.335387 samples/sec accuracy=55.789062 loss=1.938802 lr=0.008182 Epoch[166] Batch [0249]/[3760] Speed: 164.840986 samples/sec accuracy=55.387500 loss=1.950810 lr=0.008175 Epoch[166] Batch [0299]/[3760] Speed: 163.864596 samples/sec accuracy=55.505208 loss=1.941611 lr=0.008168 Epoch[166] Batch [0349]/[3760] Speed: 165.203223 samples/sec accuracy=55.473214 loss=1.934933 lr=0.008161 Epoch[166] Batch [0399]/[3760] Speed: 164.598001 samples/sec accuracy=55.296875 loss=1.938413 lr=0.008154 Epoch[166] Batch [0449]/[3760] 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accuracy=55.177083 loss=1.941828 lr=0.008083 Epoch[166] Batch [0949]/[3760] Speed: 165.160920 samples/sec accuracy=55.241776 loss=1.940405 lr=0.008076 Epoch[166] Batch [0999]/[3760] Speed: 164.531113 samples/sec accuracy=55.287500 loss=1.938567 lr=0.008069 Epoch[166] Batch [1049]/[3760] Speed: 162.587511 samples/sec accuracy=55.270833 loss=1.938252 lr=0.008062 Epoch[166] Batch [1099]/[3760] Speed: 163.162424 samples/sec accuracy=55.301136 loss=1.936999 lr=0.008055 Epoch[166] Batch [1149]/[3760] Speed: 164.513503 samples/sec accuracy=55.221467 loss=1.940249 lr=0.008048 Epoch[166] Batch [1199]/[3760] Speed: 165.747656 samples/sec accuracy=55.188802 loss=1.941953 lr=0.008041 Epoch[166] Batch [1249]/[3760] Speed: 163.295837 samples/sec accuracy=55.232500 loss=1.940601 lr=0.008034 Epoch[166] Batch [1299]/[3760] Speed: 165.132291 samples/sec accuracy=55.197115 loss=1.941657 lr=0.008027 Epoch[166] Batch [1349]/[3760] Speed: 164.542247 samples/sec accuracy=55.155093 loss=1.943518 lr=0.008020 Epoch[166] Batch [1399]/[3760] Speed: 163.680685 samples/sec accuracy=55.166295 loss=1.942809 lr=0.008013 Epoch[166] Batch [1449]/[3760] Speed: 163.188761 samples/sec accuracy=55.171336 loss=1.942094 lr=0.008006 Epoch[166] Batch [1499]/[3760] Speed: 164.069136 samples/sec accuracy=55.175000 loss=1.941942 lr=0.007999 Epoch[166] Batch [1549]/[3760] Speed: 162.705100 samples/sec accuracy=55.140121 loss=1.942919 lr=0.007992 Epoch[166] Batch [1599]/[3760] Speed: 164.051757 samples/sec accuracy=55.136719 loss=1.943757 lr=0.007985 Epoch[166] Batch [1649]/[3760] Speed: 164.617510 samples/sec accuracy=55.150568 loss=1.944480 lr=0.007978 Epoch[166] Batch [1699]/[3760] Speed: 163.097671 samples/sec accuracy=55.180147 loss=1.944435 lr=0.007971 Epoch[166] Batch [1749]/[3760] Speed: 164.925525 samples/sec accuracy=55.179464 loss=1.944820 lr=0.007964 Epoch[166] Batch [1799]/[3760] Speed: 163.786376 samples/sec accuracy=55.222222 loss=1.943759 lr=0.007957 Epoch[166] Batch [1849]/[3760] Speed: 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loss=1.942597 lr=0.007887 Epoch[166] Batch [2349]/[3760] Speed: 163.894302 samples/sec accuracy=55.251330 loss=1.943524 lr=0.007880 Epoch[166] Batch [2399]/[3760] Speed: 164.875420 samples/sec accuracy=55.223958 loss=1.944373 lr=0.007874 Epoch[166] Batch [2449]/[3760] Speed: 164.856836 samples/sec accuracy=55.210459 loss=1.945358 lr=0.007867 Epoch[166] Batch [2499]/[3760] Speed: 163.722203 samples/sec accuracy=55.169375 loss=1.947372 lr=0.007860 Epoch[166] Batch [2549]/[3760] Speed: 163.745774 samples/sec accuracy=55.169730 loss=1.947624 lr=0.007853 Epoch[166] Batch [2599]/[3760] Speed: 163.717420 samples/sec accuracy=55.157452 loss=1.948110 lr=0.007846 Epoch[166] Batch [2649]/[3760] Speed: 162.732136 samples/sec accuracy=55.153302 loss=1.948147 lr=0.007839 Epoch[166] Batch [2699]/[3760] Speed: 164.834616 samples/sec accuracy=55.155093 loss=1.947730 lr=0.007832 Epoch[166] Batch [2749]/[3760] Speed: 163.872336 samples/sec accuracy=55.136932 loss=1.948416 lr=0.007825 Epoch[166] Batch 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accuracy=55.088462 loss=1.948175 lr=0.007756 Epoch[166] Batch [3299]/[3760] Speed: 162.735171 samples/sec accuracy=55.101799 loss=1.947707 lr=0.007749 Epoch[166] Batch [3349]/[3760] Speed: 164.711439 samples/sec accuracy=55.096549 loss=1.947686 lr=0.007742 Epoch[166] Batch [3399]/[3760] Speed: 165.168725 samples/sec accuracy=55.092371 loss=1.948381 lr=0.007735 Epoch[166] Batch [3449]/[3760] Speed: 159.650551 samples/sec accuracy=55.071105 loss=1.949715 lr=0.007728 Epoch[166] Batch [3499]/[3760] Speed: 162.311070 samples/sec accuracy=55.058929 loss=1.950689 lr=0.007721 Epoch[166] Batch [3549]/[3760] Speed: 163.079413 samples/sec accuracy=55.039173 loss=1.951524 lr=0.007714 Epoch[166] Batch [3599]/[3760] Speed: 162.690792 samples/sec accuracy=55.035590 loss=1.952240 lr=0.007708 Epoch[166] Batch [3649]/[3760] Speed: 164.764908 samples/sec accuracy=55.024829 loss=1.952310 lr=0.007701 Epoch[166] Batch [3699]/[3760] Speed: 164.049592 samples/sec accuracy=55.009291 loss=1.953020 lr=0.007694 Epoch[166] Batch [3749]/[3760] Speed: 175.838544 samples/sec accuracy=55.020833 loss=1.952888 lr=0.007687 Batch [0049]/[0303]: acc-top1=55.031250 acc-top5=77.625000 Batch [0099]/[0303]: acc-top1=52.625000 acc-top5=76.156250 Batch [0149]/[0303]: acc-top1=53.489583 acc-top5=76.770833 Batch [0199]/[0303]: acc-top1=55.968750 acc-top5=78.171875 Batch [0249]/[0303]: acc-top1=54.943750 acc-top5=77.775000 Batch [0299]/[0303]: acc-top1=54.463542 acc-top5=77.619792 [Epoch 166] training: accuracy=55.024102 loss=1.952899 [Epoch 166] speed: 163 samples/sec time cost: 1589.187796 [Epoch 166] validation: acc-top1=54.393564 acc-top5=77.599010 loss=2.133203 Epoch[167] Batch [0049]/[3760] Speed: 114.139450 samples/sec accuracy=55.187500 loss=1.945515 lr=0.007679 Epoch[167] Batch [0099]/[3760] Speed: 163.579760 samples/sec accuracy=55.296875 loss=1.910848 lr=0.007672 Epoch[167] Batch [0149]/[3760] Speed: 164.451383 samples/sec accuracy=55.010417 loss=1.929207 lr=0.007665 Epoch[167] Batch [0199]/[3760] 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accuracy=55.430288 loss=1.924242 lr=0.007596 Epoch[167] Batch [0699]/[3760] Speed: 162.868293 samples/sec accuracy=55.470982 loss=1.923369 lr=0.007590 Epoch[167] Batch [0749]/[3760] Speed: 163.949173 samples/sec accuracy=55.608333 loss=1.917379 lr=0.007583 Epoch[167] Batch [0799]/[3760] Speed: 163.914402 samples/sec accuracy=55.623047 loss=1.916928 lr=0.007576 Epoch[167] Batch [0849]/[3760] Speed: 164.582282 samples/sec accuracy=55.590074 loss=1.918564 lr=0.007569 Epoch[167] Batch [0899]/[3760] Speed: 163.910504 samples/sec accuracy=55.493056 loss=1.920128 lr=0.007562 Epoch[167] Batch [0949]/[3760] Speed: 162.969336 samples/sec accuracy=55.478618 loss=1.920213 lr=0.007556 Epoch[167] Batch [0999]/[3760] Speed: 164.582054 samples/sec accuracy=55.489062 loss=1.920027 lr=0.007549 Epoch[167] Batch [1049]/[3760] Speed: 163.748311 samples/sec accuracy=55.456845 loss=1.922019 lr=0.007542 Epoch[167] Batch [1099]/[3760] Speed: 163.236376 samples/sec accuracy=55.508523 loss=1.921120 lr=0.007535 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accuracy=55.449479 loss=1.930249 lr=0.007278 Epoch[167] Batch [3049]/[3760] Speed: 164.987888 samples/sec accuracy=55.450307 loss=1.929783 lr=0.007272 Epoch[167] Batch [3099]/[3760] Speed: 163.148644 samples/sec accuracy=55.436492 loss=1.930176 lr=0.007265 Epoch[167] Batch [3149]/[3760] Speed: 163.747067 samples/sec accuracy=55.453869 loss=1.929657 lr=0.007258 Epoch[167] Batch [3199]/[3760] Speed: 162.590461 samples/sec accuracy=55.454590 loss=1.930114 lr=0.007252 Epoch[167] Batch [3249]/[3760] Speed: 163.293314 samples/sec accuracy=55.453365 loss=1.930152 lr=0.007245 Epoch[167] Batch [3299]/[3760] Speed: 162.914529 samples/sec accuracy=55.474432 loss=1.929328 lr=0.007238 Epoch[167] Batch [3349]/[3760] Speed: 163.343213 samples/sec accuracy=55.475280 loss=1.929230 lr=0.007232 Epoch[167] Batch [3399]/[3760] Speed: 163.938343 samples/sec accuracy=55.495864 loss=1.928320 lr=0.007225 Epoch[167] Batch [3449]/[3760] Speed: 163.158842 samples/sec accuracy=55.473732 loss=1.929270 lr=0.007218 Epoch[167] Batch [3499]/[3760] Speed: 165.052028 samples/sec accuracy=55.471875 loss=1.929170 lr=0.007212 Epoch[167] Batch [3549]/[3760] Speed: 164.202512 samples/sec accuracy=55.474912 loss=1.928621 lr=0.007205 Epoch[167] Batch [3599]/[3760] Speed: 162.533412 samples/sec accuracy=55.471354 loss=1.928975 lr=0.007198 Epoch[167] Batch [3649]/[3760] Speed: 163.213054 samples/sec accuracy=55.481592 loss=1.928501 lr=0.007192 Epoch[167] Batch [3699]/[3760] Speed: 164.023020 samples/sec accuracy=55.489443 loss=1.928107 lr=0.007185 Epoch[167] Batch [3749]/[3760] Speed: 174.983207 samples/sec accuracy=55.483333 loss=1.927973 lr=0.007178 Batch [0049]/[0303]: acc-top1=54.187500 acc-top5=77.625000 Batch [0099]/[0303]: acc-top1=51.781250 acc-top5=76.671875 Batch [0149]/[0303]: acc-top1=53.395833 acc-top5=77.343750 Batch [0199]/[0303]: acc-top1=56.062500 acc-top5=78.945312 Batch [0249]/[0303]: acc-top1=55.362500 acc-top5=78.593750 Batch [0299]/[0303]: acc-top1=54.807292 acc-top5=78.453125 [Epoch 167] training: accuracy=55.481632 loss=1.928164 [Epoch 167] speed: 163 samples/sec time cost: 1589.702096 [Epoch 167] validation: acc-top1=54.708127 acc-top5=78.408622 loss=2.097801 Epoch[168] Batch [0049]/[3759] Speed: 115.430094 samples/sec accuracy=55.750000 loss=1.907642 lr=0.007170 Epoch[168] Batch [0099]/[3759] Speed: 162.232294 samples/sec accuracy=56.484375 loss=1.886030 lr=0.007164 Epoch[168] Batch [0149]/[3759] Speed: 163.127736 samples/sec accuracy=56.197917 loss=1.889083 lr=0.007157 Epoch[168] Batch [0199]/[3759] Speed: 163.879940 samples/sec accuracy=56.289062 loss=1.884089 lr=0.007150 Epoch[168] Batch [0249]/[3759] Speed: 163.406743 samples/sec accuracy=56.331250 loss=1.879816 lr=0.007144 Epoch[168] Batch [0299]/[3759] Speed: 163.426323 samples/sec accuracy=56.520833 loss=1.872574 lr=0.007137 Epoch[168] Batch [0349]/[3759] Speed: 164.957176 samples/sec accuracy=56.433036 loss=1.877529 lr=0.007130 Epoch[168] Batch [0399]/[3759] Speed: 164.439256 samples/sec accuracy=56.378906 loss=1.881325 lr=0.007124 Epoch[168] Batch [0449]/[3759] Speed: 164.829547 samples/sec accuracy=56.475694 loss=1.883321 lr=0.007117 Epoch[168] Batch [0499]/[3759] Speed: 164.628369 samples/sec accuracy=56.587500 loss=1.882418 lr=0.007110 Epoch[168] Batch [0549]/[3759] Speed: 164.566836 samples/sec accuracy=56.582386 loss=1.882059 lr=0.007104 Epoch[168] Batch [0599]/[3759] Speed: 164.029844 samples/sec accuracy=56.546875 loss=1.883699 lr=0.007097 Epoch[168] Batch [0649]/[3759] Speed: 165.323168 samples/sec accuracy=56.552885 loss=1.883047 lr=0.007091 Epoch[168] Batch [0699]/[3759] Speed: 162.955091 samples/sec accuracy=56.535714 loss=1.882566 lr=0.007084 Epoch[168] Batch [0749]/[3759] Speed: 162.402015 samples/sec accuracy=56.500000 loss=1.883604 lr=0.007077 Epoch[168] Batch [0799]/[3759] Speed: 164.286530 samples/sec accuracy=56.410156 loss=1.888776 lr=0.007071 Epoch[168] Batch [0849]/[3759] Speed: 164.428269 samples/sec accuracy=56.448529 loss=1.886244 lr=0.007064 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loss=1.892759 lr=0.006939 Epoch[168] Batch [1849]/[3759] Speed: 165.096284 samples/sec accuracy=56.219595 loss=1.893928 lr=0.006933 Epoch[168] Batch [1899]/[3759] Speed: 164.549388 samples/sec accuracy=56.215461 loss=1.894150 lr=0.006926 Epoch[168] Batch [1949]/[3759] Speed: 163.793531 samples/sec accuracy=56.213942 loss=1.893819 lr=0.006919 Epoch[168] Batch [1999]/[3759] Speed: 165.241741 samples/sec accuracy=56.250781 loss=1.892001 lr=0.006913 Epoch[168] Batch [2049]/[3759] Speed: 164.616420 samples/sec accuracy=56.235518 loss=1.893176 lr=0.006906 Epoch[168] Batch [2099]/[3759] Speed: 156.391423 samples/sec accuracy=56.214286 loss=1.894268 lr=0.006900 Epoch[168] Batch [2149]/[3759] Speed: 167.718662 samples/sec accuracy=56.180233 loss=1.895174 lr=0.006893 Epoch[168] Batch [2199]/[3759] Speed: 162.700810 samples/sec accuracy=56.165483 loss=1.896119 lr=0.006887 Epoch[168] Batch [2249]/[3759] Speed: 163.463985 samples/sec accuracy=56.161806 loss=1.895053 lr=0.006880 Epoch[168] Batch 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accuracy=56.184091 loss=1.893618 lr=0.006815 Epoch[168] Batch [2799]/[3759] Speed: 164.289494 samples/sec accuracy=56.185268 loss=1.893171 lr=0.006809 Epoch[168] Batch [2849]/[3759] Speed: 164.933030 samples/sec accuracy=56.191886 loss=1.892438 lr=0.006802 Epoch[168] Batch [2899]/[3759] Speed: 163.717580 samples/sec accuracy=56.204741 loss=1.892122 lr=0.006796 Epoch[168] Batch [2949]/[3759] Speed: 161.549235 samples/sec accuracy=56.220869 loss=1.892081 lr=0.006789 Epoch[168] Batch [2999]/[3759] Speed: 163.881599 samples/sec accuracy=56.192188 loss=1.892254 lr=0.006783 Epoch[168] Batch [3049]/[3759] Speed: 164.999202 samples/sec accuracy=56.202869 loss=1.891820 lr=0.006776 Epoch[168] Batch [3099]/[3759] Speed: 164.263958 samples/sec accuracy=56.208165 loss=1.891863 lr=0.006770 Epoch[168] Batch [3149]/[3759] Speed: 164.771793 samples/sec accuracy=56.220734 loss=1.891805 lr=0.006763 Epoch[168] Batch [3199]/[3759] Speed: 163.880788 samples/sec accuracy=56.203125 loss=1.892514 lr=0.006757 Epoch[168] Batch [3249]/[3759] Speed: 163.264276 samples/sec accuracy=56.214904 loss=1.892296 lr=0.006750 Epoch[168] Batch [3299]/[3759] Speed: 164.344958 samples/sec accuracy=56.201705 loss=1.892852 lr=0.006744 Epoch[168] Batch [3349]/[3759] Speed: 162.071554 samples/sec accuracy=56.195896 loss=1.893818 lr=0.006737 Epoch[168] Batch [3399]/[3759] Speed: 165.211644 samples/sec accuracy=56.219669 loss=1.893566 lr=0.006731 Epoch[168] Batch [3449]/[3759] Speed: 163.510886 samples/sec accuracy=56.220562 loss=1.893261 lr=0.006724 Epoch[168] Batch [3499]/[3759] Speed: 165.303438 samples/sec accuracy=56.221429 loss=1.893703 lr=0.006718 Epoch[168] Batch [3549]/[3759] Speed: 164.004543 samples/sec accuracy=56.205106 loss=1.894483 lr=0.006711 Epoch[168] Batch [3599]/[3759] Speed: 165.497086 samples/sec accuracy=56.200521 loss=1.895081 lr=0.006705 Epoch[168] Batch [3649]/[3759] Speed: 162.640091 samples/sec accuracy=56.180651 loss=1.896010 lr=0.006698 Epoch[168] Batch [3699]/[3759] Speed: 163.958279 samples/sec accuracy=56.182855 loss=1.895827 lr=0.006692 Epoch[168] Batch [3749]/[3759] Speed: 178.819037 samples/sec accuracy=56.190833 loss=1.895935 lr=0.006686 Batch [0049]/[0303]: acc-top1=53.687500 acc-top5=76.437500 Batch [0099]/[0303]: acc-top1=51.468750 acc-top5=76.031250 Batch [0149]/[0303]: acc-top1=53.479167 acc-top5=77.145833 Batch [0199]/[0303]: acc-top1=56.226562 acc-top5=78.515625 Batch [0249]/[0303]: acc-top1=55.631250 acc-top5=78.381250 Batch [0299]/[0303]: acc-top1=55.223958 acc-top5=78.338542 [Epoch 168] training: accuracy=56.180583 loss=1.896134 [Epoch 168] speed: 163 samples/sec time cost: 1588.031838 [Epoch 168] validation: acc-top1=55.151609 acc-top5=78.357054 loss=2.095448 Epoch[169] Batch [0049]/[3760] Speed: 117.661573 samples/sec accuracy=57.500000 loss=1.841697 lr=0.006678 Epoch[169] Batch [0099]/[3760] Speed: 166.133624 samples/sec accuracy=57.500000 loss=1.836297 lr=0.006672 Epoch[169] Batch [0149]/[3760] Speed: 164.829484 samples/sec accuracy=57.520833 loss=1.840654 lr=0.006665 Epoch[169] Batch [0199]/[3760] Speed: 163.278737 samples/sec accuracy=57.492188 loss=1.851070 lr=0.006659 Epoch[169] Batch [0249]/[3760] Speed: 165.630126 samples/sec accuracy=57.218750 loss=1.857052 lr=0.006652 Epoch[169] Batch [0299]/[3760] Speed: 163.658400 samples/sec accuracy=57.182292 loss=1.855702 lr=0.006646 Epoch[169] Batch [0349]/[3760] Speed: 165.459679 samples/sec accuracy=57.116071 loss=1.861283 lr=0.006639 Epoch[169] Batch [0399]/[3760] Speed: 162.960307 samples/sec accuracy=57.156250 loss=1.860594 lr=0.006633 Epoch[169] Batch [0449]/[3760] Speed: 165.549307 samples/sec accuracy=57.145833 loss=1.861857 lr=0.006627 Epoch[169] Batch [0499]/[3760] Speed: 164.583200 samples/sec accuracy=57.193750 loss=1.858094 lr=0.006620 Epoch[169] Batch [0549]/[3760] Speed: 161.567443 samples/sec accuracy=57.147727 loss=1.855578 lr=0.006614 Epoch[169] Batch [0599]/[3760] Speed: 165.666473 samples/sec accuracy=57.166667 loss=1.857204 lr=0.006607 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accuracy=56.744375 loss=1.870536 lr=0.006366 Epoch[169] Batch [2549]/[3760] Speed: 165.685085 samples/sec accuracy=56.747549 loss=1.870564 lr=0.006360 Epoch[169] Batch [2599]/[3760] Speed: 165.589866 samples/sec accuracy=56.761418 loss=1.870566 lr=0.006353 Epoch[169] Batch [2649]/[3760] Speed: 164.309675 samples/sec accuracy=56.769458 loss=1.869668 lr=0.006347 Epoch[169] Batch [2699]/[3760] Speed: 164.464955 samples/sec accuracy=56.749421 loss=1.870404 lr=0.006341 Epoch[169] Batch [2749]/[3760] Speed: 162.633973 samples/sec accuracy=56.747159 loss=1.870562 lr=0.006334 Epoch[169] Batch [2799]/[3760] Speed: 164.072233 samples/sec accuracy=56.727679 loss=1.871321 lr=0.006328 Epoch[169] Batch [2849]/[3760] Speed: 163.407507 samples/sec accuracy=56.727522 loss=1.871525 lr=0.006322 Epoch[169] Batch [2899]/[3760] Speed: 165.400215 samples/sec accuracy=56.732220 loss=1.870573 lr=0.006316 Epoch[169] Batch [2949]/[3760] Speed: 163.625040 samples/sec accuracy=56.719809 loss=1.870886 lr=0.006309 Epoch[169] Batch [2999]/[3760] Speed: 164.241035 samples/sec accuracy=56.688542 loss=1.871819 lr=0.006303 Epoch[169] Batch [3049]/[3760] Speed: 162.202254 samples/sec accuracy=56.673668 loss=1.871698 lr=0.006297 Epoch[169] Batch [3099]/[3760] Speed: 165.666632 samples/sec accuracy=56.678427 loss=1.871779 lr=0.006291 Epoch[169] Batch [3149]/[3760] Speed: 166.107505 samples/sec accuracy=56.667163 loss=1.871748 lr=0.006284 Epoch[169] Batch [3199]/[3760] Speed: 164.417833 samples/sec accuracy=56.684082 loss=1.871747 lr=0.006278 Epoch[169] Batch [3249]/[3760] Speed: 164.019829 samples/sec accuracy=56.700962 loss=1.871092 lr=0.006272 Epoch[169] Batch [3299]/[3760] Speed: 164.825290 samples/sec accuracy=56.686080 loss=1.871622 lr=0.006266 Epoch[169] Batch [3349]/[3760] Speed: 164.549709 samples/sec accuracy=56.661847 loss=1.872307 lr=0.006259 Epoch[169] Batch [3399]/[3760] Speed: 162.579251 samples/sec accuracy=56.685662 loss=1.871434 lr=0.006253 Epoch[169] Batch [3449]/[3760] Speed: 163.313629 samples/sec accuracy=56.703351 loss=1.870757 lr=0.006247 Epoch[169] Batch [3499]/[3760] Speed: 165.493066 samples/sec accuracy=56.715179 loss=1.869974 lr=0.006241 Epoch[169] Batch [3549]/[3760] Speed: 163.492987 samples/sec accuracy=56.693662 loss=1.870414 lr=0.006234 Epoch[169] Batch [3599]/[3760] Speed: 164.256168 samples/sec accuracy=56.695747 loss=1.870819 lr=0.006228 Epoch[169] Batch [3649]/[3760] Speed: 162.703246 samples/sec accuracy=56.704195 loss=1.869925 lr=0.006222 Epoch[169] Batch [3699]/[3760] Speed: 166.626633 samples/sec accuracy=56.688345 loss=1.870418 lr=0.006216 Epoch[169] Batch [3749]/[3760] Speed: 175.473767 samples/sec accuracy=56.664583 loss=1.870998 lr=0.006209 Batch [0049]/[0303]: acc-top1=54.312500 acc-top5=77.750000 Batch [0099]/[0303]: acc-top1=51.500000 acc-top5=76.218750 Batch [0149]/[0303]: acc-top1=52.875000 acc-top5=77.135417 Batch [0199]/[0303]: acc-top1=55.578125 acc-top5=78.523438 Batch [0249]/[0303]: acc-top1=55.193750 acc-top5=78.218750 Batch [0299]/[0303]: acc-top1=54.770833 acc-top5=78.041667 [Epoch 169] training: accuracy=56.660572 loss=1.871168 [Epoch 169] speed: 163 samples/sec time cost: 1586.160155 [Epoch 169] validation: acc-top1=54.702970 acc-top5=78.006394 loss=2.118823 Epoch[170] Batch [0049]/[3760] Speed: 113.919498 samples/sec accuracy=57.375000 loss=1.819787 lr=0.006202 Epoch[170] Batch [0099]/[3760] Speed: 165.190450 samples/sec accuracy=57.250000 loss=1.831078 lr=0.006196 Epoch[170] Batch [0149]/[3760] Speed: 163.010719 samples/sec accuracy=57.687500 loss=1.822916 lr=0.006189 Epoch[170] Batch [0199]/[3760] Speed: 164.633305 samples/sec accuracy=57.601562 loss=1.832292 lr=0.006183 Epoch[170] Batch [0249]/[3760] Speed: 161.442951 samples/sec accuracy=57.506250 loss=1.831368 lr=0.006177 Epoch[170] Batch [0299]/[3760] Speed: 164.634419 samples/sec accuracy=57.463542 loss=1.836013 lr=0.006171 Epoch[170] Batch [0349]/[3760] Speed: 163.681993 samples/sec accuracy=57.441964 loss=1.839145 lr=0.006165 Epoch[170] 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lr=0.006047 Epoch[170] Batch [1349]/[3760] Speed: 164.926360 samples/sec accuracy=57.472222 loss=1.831644 lr=0.006041 Epoch[170] Batch [1399]/[3760] Speed: 164.604604 samples/sec accuracy=57.491071 loss=1.831231 lr=0.006035 Epoch[170] Batch [1449]/[3760] Speed: 163.310129 samples/sec accuracy=57.471983 loss=1.834284 lr=0.006029 Epoch[170] Batch [1499]/[3760] Speed: 163.620927 samples/sec accuracy=57.463542 loss=1.835003 lr=0.006023 Epoch[170] Batch [1549]/[3760] Speed: 163.933545 samples/sec accuracy=57.461694 loss=1.835598 lr=0.006017 Epoch[170] Batch [1599]/[3760] Speed: 163.644047 samples/sec accuracy=57.451172 loss=1.835437 lr=0.006010 Epoch[170] Batch [1649]/[3760] Speed: 165.145120 samples/sec accuracy=57.499053 loss=1.834372 lr=0.006004 Epoch[170] Batch [1699]/[3760] Speed: 162.423519 samples/sec accuracy=57.450368 loss=1.836640 lr=0.005998 Epoch[170] Batch [1749]/[3760] Speed: 165.211727 samples/sec accuracy=57.450893 loss=1.835403 lr=0.005992 Epoch[170] Batch [1799]/[3760] Speed: 166.026744 samples/sec accuracy=57.427083 loss=1.836043 lr=0.005986 Epoch[170] Batch [1849]/[3760] Speed: 163.666258 samples/sec accuracy=57.467905 loss=1.835839 lr=0.005980 Epoch[170] Batch [1899]/[3760] Speed: 162.857341 samples/sec accuracy=57.466283 loss=1.835671 lr=0.005974 Epoch[170] Batch [1949]/[3760] Speed: 162.963692 samples/sec accuracy=57.485577 loss=1.834905 lr=0.005968 Epoch[170] Batch [1999]/[3760] Speed: 165.631391 samples/sec accuracy=57.498438 loss=1.834727 lr=0.005962 Epoch[170] Batch [2049]/[3760] Speed: 162.264099 samples/sec accuracy=57.484756 loss=1.835712 lr=0.005955 Epoch[170] Batch [2099]/[3760] Speed: 165.143749 samples/sec accuracy=57.434524 loss=1.837401 lr=0.005949 Epoch[170] Batch [2149]/[3760] Speed: 162.723345 samples/sec accuracy=57.441860 loss=1.836887 lr=0.005943 Epoch[170] Batch [2199]/[3760] Speed: 164.348405 samples/sec accuracy=57.433949 loss=1.836507 lr=0.005937 Epoch[170] Batch [2249]/[3760] Speed: 163.701427 samples/sec accuracy=57.443056 loss=1.836548 lr=0.005931 Epoch[170] Batch [2299]/[3760] Speed: 163.996467 samples/sec accuracy=57.436821 loss=1.836362 lr=0.005925 Epoch[170] Batch [2349]/[3760] Speed: 163.785464 samples/sec accuracy=57.410904 loss=1.836960 lr=0.005919 Epoch[170] Batch [2399]/[3760] Speed: 166.015913 samples/sec accuracy=57.435547 loss=1.836414 lr=0.005913 Epoch[170] Batch [2449]/[3760] Speed: 162.239301 samples/sec accuracy=57.437500 loss=1.836227 lr=0.005907 Epoch[170] Batch [2499]/[3760] Speed: 164.188104 samples/sec accuracy=57.430000 loss=1.836825 lr=0.005901 Epoch[170] Batch [2549]/[3760] Speed: 160.275086 samples/sec accuracy=57.420343 loss=1.836291 lr=0.005895 Epoch[170] Batch [2599]/[3760] Speed: 164.342742 samples/sec accuracy=57.389423 loss=1.837280 lr=0.005888 Epoch[170] Batch [2649]/[3760] Speed: 165.773727 samples/sec accuracy=57.379127 loss=1.838047 lr=0.005882 Epoch[170] Batch [2699]/[3760] Speed: 161.585544 samples/sec accuracy=57.391782 loss=1.838055 lr=0.005876 Epoch[170] Batch [2749]/[3760] Speed: 162.445399 samples/sec accuracy=57.396023 loss=1.838007 lr=0.005870 Epoch[170] Batch [2799]/[3760] Speed: 164.454956 samples/sec accuracy=57.417969 loss=1.837127 lr=0.005864 Epoch[170] Batch [2849]/[3760] Speed: 162.606864 samples/sec accuracy=57.415570 loss=1.837567 lr=0.005858 Epoch[170] Batch [2899]/[3760] Speed: 163.365009 samples/sec accuracy=57.413793 loss=1.837577 lr=0.005852 Epoch[170] Batch [2949]/[3760] Speed: 164.244910 samples/sec accuracy=57.423199 loss=1.837654 lr=0.005846 Epoch[170] Batch [2999]/[3760] Speed: 164.924627 samples/sec accuracy=57.416667 loss=1.837992 lr=0.005840 Epoch[170] Batch [3049]/[3760] Speed: 163.200438 samples/sec accuracy=57.408811 loss=1.838866 lr=0.005834 Epoch[170] Batch [3099]/[3760] Speed: 164.251925 samples/sec accuracy=57.405746 loss=1.838339 lr=0.005828 Epoch[170] Batch [3149]/[3760] Speed: 163.666564 samples/sec accuracy=57.432044 loss=1.837473 lr=0.005822 Epoch[170] Batch [3199]/[3760] Speed: 165.180405 samples/sec accuracy=57.415527 loss=1.837671 lr=0.005816 Epoch[170] Batch [3249]/[3760] Speed: 162.424032 samples/sec accuracy=57.414904 loss=1.838261 lr=0.005810 Epoch[170] Batch [3299]/[3760] Speed: 165.232322 samples/sec accuracy=57.421402 loss=1.838079 lr=0.005804 Epoch[170] Batch [3349]/[3760] Speed: 163.438948 samples/sec accuracy=57.409515 loss=1.838150 lr=0.005798 Epoch[170] Batch [3399]/[3760] Speed: 164.941609 samples/sec accuracy=57.399816 loss=1.838270 lr=0.005792 Epoch[170] Batch [3449]/[3760] Speed: 164.559786 samples/sec accuracy=57.386775 loss=1.838691 lr=0.005786 Epoch[170] Batch [3499]/[3760] Speed: 163.569513 samples/sec accuracy=57.388393 loss=1.838665 lr=0.005780 Epoch[170] Batch [3549]/[3760] Speed: 162.631524 samples/sec accuracy=57.378521 loss=1.838959 lr=0.005774 Epoch[170] Batch [3599]/[3760] Speed: 164.977586 samples/sec accuracy=57.377604 loss=1.839214 lr=0.005768 Epoch[170] Batch [3649]/[3760] Speed: 163.472572 samples/sec accuracy=57.381421 loss=1.839355 lr=0.005762 Epoch[170] Batch [3699]/[3760] Speed: 164.427906 samples/sec accuracy=57.381757 loss=1.839810 lr=0.005756 Epoch[170] Batch [3749]/[3760] Speed: 175.432423 samples/sec accuracy=57.387083 loss=1.839889 lr=0.005750 Batch [0049]/[0303]: acc-top1=55.156250 acc-top5=76.875000 Batch [0099]/[0303]: acc-top1=52.625000 acc-top5=76.765625 Batch [0149]/[0303]: acc-top1=54.322917 acc-top5=77.708333 Batch [0199]/[0303]: acc-top1=57.007812 acc-top5=79.156250 Batch [0249]/[0303]: acc-top1=56.143750 acc-top5=78.637500 Batch [0299]/[0303]: acc-top1=55.677083 acc-top5=78.500000 [Epoch 170] training: accuracy=57.373255 loss=1.840333 [Epoch 170] speed: 163 samples/sec time cost: 1589.235605 [Epoch 170] validation: acc-top1=55.626031 acc-top5=78.496287 loss=2.062382 Epoch[171] Batch [0049]/[3759] Speed: 116.919629 samples/sec accuracy=57.437500 loss=1.829879 lr=0.005742 Epoch[171] Batch [0099]/[3759] Speed: 165.160223 samples/sec accuracy=58.140625 loss=1.805056 lr=0.005736 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loss=1.813246 lr=0.005347 Epoch[171] Batch [3449]/[3759] Speed: 163.725614 samples/sec accuracy=57.864583 loss=1.812742 lr=0.005341 Epoch[171] Batch [3499]/[3759] Speed: 164.916712 samples/sec accuracy=57.875893 loss=1.812553 lr=0.005335 Epoch[171] Batch [3549]/[3759] Speed: 163.900909 samples/sec accuracy=57.872359 loss=1.812826 lr=0.005330 Epoch[171] Batch [3599]/[3759] Speed: 164.004401 samples/sec accuracy=57.887153 loss=1.812223 lr=0.005324 Epoch[171] Batch [3649]/[3759] Speed: 164.267577 samples/sec accuracy=57.863870 loss=1.812306 lr=0.005318 Epoch[171] Batch [3699]/[3759] Speed: 164.742945 samples/sec accuracy=57.843750 loss=1.813455 lr=0.005312 Epoch[171] Batch [3749]/[3759] Speed: 176.472713 samples/sec accuracy=57.836250 loss=1.813794 lr=0.005306 Batch [0049]/[0303]: acc-top1=55.750000 acc-top5=78.812500 Batch [0099]/[0303]: acc-top1=53.109375 acc-top5=77.484375 Batch [0149]/[0303]: acc-top1=54.822917 acc-top5=78.385417 Batch [0199]/[0303]: acc-top1=57.382812 acc-top5=79.664062 Batch [0249]/[0303]: acc-top1=56.606250 acc-top5=79.225000 Batch [0299]/[0303]: acc-top1=56.197917 acc-top5=79.218750 [Epoch 171] training: accuracy=57.836609 loss=1.813779 [Epoch 171] speed: 163 samples/sec time cost: 1586.986785 [Epoch 171] validation: acc-top1=56.090140 acc-top5=79.171823 loss=2.020008 Epoch[172] Batch [0049]/[3760] Speed: 113.898201 samples/sec accuracy=57.781250 loss=1.804929 lr=0.005300 Epoch[172] Batch [0099]/[3760] Speed: 163.796076 samples/sec accuracy=57.921875 loss=1.798549 lr=0.005294 Epoch[172] Batch [0149]/[3760] Speed: 162.301618 samples/sec accuracy=57.875000 loss=1.802755 lr=0.005288 Epoch[172] Batch [0199]/[3760] Speed: 165.501729 samples/sec accuracy=58.070312 loss=1.793637 lr=0.005282 Epoch[172] Batch [0249]/[3760] Speed: 162.300878 samples/sec accuracy=58.425000 loss=1.778364 lr=0.005276 Epoch[172] Batch [0299]/[3760] Speed: 164.946241 samples/sec accuracy=58.708333 loss=1.771561 lr=0.005271 Epoch[172] Batch [0349]/[3760] Speed: 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loss=1.779746 lr=0.005213 Epoch[172] Batch [0849]/[3760] Speed: 160.645446 samples/sec accuracy=58.698529 loss=1.779817 lr=0.005207 Epoch[172] Batch [0899]/[3760] Speed: 164.377757 samples/sec accuracy=58.651042 loss=1.780890 lr=0.005202 Epoch[172] Batch [0949]/[3760] Speed: 164.387101 samples/sec accuracy=58.616776 loss=1.783884 lr=0.005196 Epoch[172] Batch [0999]/[3760] Speed: 163.837848 samples/sec accuracy=58.640625 loss=1.782528 lr=0.005190 Epoch[172] Batch [1049]/[3760] Speed: 162.260140 samples/sec accuracy=58.626488 loss=1.785513 lr=0.005185 Epoch[172] Batch [1099]/[3760] Speed: 164.762835 samples/sec accuracy=58.600852 loss=1.785634 lr=0.005179 Epoch[172] Batch [1149]/[3760] Speed: 163.180646 samples/sec accuracy=58.623641 loss=1.784064 lr=0.005173 Epoch[172] Batch [1199]/[3760] Speed: 165.519771 samples/sec accuracy=58.660156 loss=1.781943 lr=0.005167 Epoch[172] Batch [1249]/[3760] Speed: 165.682498 samples/sec accuracy=58.663750 loss=1.782903 lr=0.005162 Epoch[172] Batch 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accuracy=58.631250 loss=1.781813 lr=0.005105 Epoch[172] Batch [1799]/[3760] Speed: 163.590020 samples/sec accuracy=58.614583 loss=1.783000 lr=0.005099 Epoch[172] Batch [1849]/[3760] Speed: 163.636381 samples/sec accuracy=58.633446 loss=1.782651 lr=0.005093 Epoch[172] Batch [1899]/[3760] Speed: 164.816955 samples/sec accuracy=58.611020 loss=1.783326 lr=0.005088 Epoch[172] Batch [1949]/[3760] Speed: 164.515808 samples/sec accuracy=58.641026 loss=1.782290 lr=0.005082 Epoch[172] Batch [1999]/[3760] Speed: 164.204782 samples/sec accuracy=58.661719 loss=1.781431 lr=0.005076 Epoch[172] Batch [2049]/[3760] Speed: 162.459570 samples/sec accuracy=58.644817 loss=1.782241 lr=0.005071 Epoch[172] Batch [2099]/[3760] Speed: 164.952098 samples/sec accuracy=58.599702 loss=1.783264 lr=0.005065 Epoch[172] Batch [2149]/[3760] Speed: 164.880545 samples/sec accuracy=58.608285 loss=1.783361 lr=0.005059 Epoch[172] Batch [2199]/[3760] Speed: 165.655180 samples/sec accuracy=58.566761 loss=1.784908 lr=0.005054 Epoch[172] Batch [2249]/[3760] Speed: 165.205519 samples/sec accuracy=58.602778 loss=1.784561 lr=0.005048 Epoch[172] Batch [2299]/[3760] Speed: 163.858634 samples/sec accuracy=58.587636 loss=1.785583 lr=0.005043 Epoch[172] Batch [2349]/[3760] Speed: 164.654533 samples/sec accuracy=58.575133 loss=1.785917 lr=0.005037 Epoch[172] Batch [2399]/[3760] Speed: 165.861528 samples/sec accuracy=58.569010 loss=1.787032 lr=0.005031 Epoch[172] Batch [2449]/[3760] Speed: 161.824466 samples/sec accuracy=58.555485 loss=1.786933 lr=0.005026 Epoch[172] Batch [2499]/[3760] Speed: 163.761803 samples/sec accuracy=58.566875 loss=1.786821 lr=0.005020 Epoch[172] Batch [2549]/[3760] Speed: 165.065549 samples/sec accuracy=58.545956 loss=1.787783 lr=0.005014 Epoch[172] Batch [2599]/[3760] Speed: 164.451790 samples/sec accuracy=58.552885 loss=1.787415 lr=0.005009 Epoch[172] Batch [2649]/[3760] Speed: 165.763955 samples/sec accuracy=58.537146 loss=1.787651 lr=0.005003 Epoch[172] Batch [2699]/[3760] Speed: 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loss=1.786620 lr=0.004947 Epoch[172] Batch [3199]/[3760] Speed: 165.312655 samples/sec accuracy=58.540039 loss=1.785308 lr=0.004941 Epoch[172] Batch [3249]/[3760] Speed: 163.492274 samples/sec accuracy=58.562500 loss=1.784873 lr=0.004936 Epoch[172] Batch [3299]/[3760] Speed: 163.811439 samples/sec accuracy=58.565341 loss=1.784326 lr=0.004930 Epoch[172] Batch [3349]/[3760] Speed: 164.950642 samples/sec accuracy=58.545709 loss=1.784995 lr=0.004925 Epoch[172] Batch [3399]/[3760] Speed: 162.523390 samples/sec accuracy=58.551471 loss=1.784662 lr=0.004919 Epoch[172] Batch [3449]/[3760] Speed: 163.747400 samples/sec accuracy=58.546649 loss=1.784394 lr=0.004913 Epoch[172] Batch [3499]/[3760] Speed: 163.353499 samples/sec accuracy=58.550893 loss=1.784356 lr=0.004908 Epoch[172] Batch [3549]/[3760] Speed: 164.942670 samples/sec accuracy=58.545335 loss=1.784743 lr=0.004902 Epoch[172] Batch [3599]/[3760] Speed: 161.555841 samples/sec accuracy=58.546007 loss=1.784483 lr=0.004897 Epoch[172] Batch [3649]/[3760] Speed: 165.800399 samples/sec accuracy=58.550086 loss=1.784034 lr=0.004891 Epoch[172] Batch [3699]/[3760] Speed: 163.034965 samples/sec accuracy=58.562078 loss=1.784028 lr=0.004886 Epoch[172] Batch [3749]/[3760] Speed: 175.070319 samples/sec accuracy=58.542500 loss=1.784910 lr=0.004880 Batch [0049]/[0303]: acc-top1=55.718750 acc-top5=78.343750 Batch [0099]/[0303]: acc-top1=53.875000 acc-top5=77.718750 Batch [0149]/[0303]: acc-top1=54.760417 acc-top5=78.250000 Batch [0199]/[0303]: acc-top1=57.304687 acc-top5=79.664062 Batch [0249]/[0303]: acc-top1=56.831250 acc-top5=79.337500 Batch [0299]/[0303]: acc-top1=56.302083 acc-top5=79.229167 [Epoch 172] training: accuracy=58.539312 loss=1.785144 [Epoch 172] speed: 163 samples/sec time cost: 1590.102829 [Epoch 172] validation: acc-top1=56.244843 acc-top5=79.202764 loss=2.008254 Epoch[173] Batch [0049]/[3760] Speed: 115.911158 samples/sec accuracy=59.687500 loss=1.761051 lr=0.004873 Epoch[173] Batch [0099]/[3760] Speed: 164.762333 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accuracy=59.191667 loss=1.749387 lr=0.004714 Epoch[173] Batch [1549]/[3760] Speed: 164.624563 samples/sec accuracy=59.229839 loss=1.749194 lr=0.004708 Epoch[173] Batch [1599]/[3760] Speed: 162.769990 samples/sec accuracy=59.191406 loss=1.751723 lr=0.004703 Epoch[173] Batch [1649]/[3760] Speed: 162.610027 samples/sec accuracy=59.175189 loss=1.753036 lr=0.004697 Epoch[173] Batch [1699]/[3760] Speed: 164.340084 samples/sec accuracy=59.179228 loss=1.753120 lr=0.004692 Epoch[173] Batch [1749]/[3760] Speed: 163.609369 samples/sec accuracy=59.121429 loss=1.755767 lr=0.004686 Epoch[173] Batch [1799]/[3760] Speed: 163.785582 samples/sec accuracy=59.123264 loss=1.755784 lr=0.004681 Epoch[173] Batch [1849]/[3760] Speed: 163.769606 samples/sec accuracy=59.140203 loss=1.755137 lr=0.004675 Epoch[173] Batch [1899]/[3760] Speed: 164.015149 samples/sec accuracy=59.125000 loss=1.756261 lr=0.004670 Epoch[173] Batch [1949]/[3760] Speed: 163.564123 samples/sec accuracy=59.134615 loss=1.756051 lr=0.004665 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loss=1.755174 lr=0.004562 Epoch[173] Batch [2949]/[3760] Speed: 163.984602 samples/sec accuracy=59.096928 loss=1.754914 lr=0.004556 Epoch[173] Batch [2999]/[3760] Speed: 165.385024 samples/sec accuracy=59.124479 loss=1.753125 lr=0.004551 Epoch[173] Batch [3049]/[3760] Speed: 163.837662 samples/sec accuracy=59.125512 loss=1.753032 lr=0.004546 Epoch[173] Batch [3099]/[3760] Speed: 165.369641 samples/sec accuracy=59.143649 loss=1.752849 lr=0.004540 Epoch[173] Batch [3149]/[3760] Speed: 164.295984 samples/sec accuracy=59.129464 loss=1.753111 lr=0.004535 Epoch[173] Batch [3199]/[3760] Speed: 163.468222 samples/sec accuracy=59.135254 loss=1.753282 lr=0.004529 Epoch[173] Batch [3249]/[3760] Speed: 164.216965 samples/sec accuracy=59.128846 loss=1.753658 lr=0.004524 Epoch[173] Batch [3299]/[3760] Speed: 163.953130 samples/sec accuracy=59.134470 loss=1.753601 lr=0.004519 Epoch[173] Batch [3349]/[3760] Speed: 166.347413 samples/sec accuracy=59.129198 loss=1.753541 lr=0.004513 Epoch[173] Batch 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acc-top5=78.406250 Batch [0199]/[0303]: acc-top1=57.687500 acc-top5=80.046875 Batch [0249]/[0303]: acc-top1=57.118750 acc-top5=79.506250 Batch [0299]/[0303]: acc-top1=56.755208 acc-top5=79.567708 [Epoch 173] training: accuracy=59.072473 loss=1.755830 [Epoch 173] speed: 163 samples/sec time cost: 1588.352721 [Epoch 173] validation: acc-top1=56.724422 acc-top5=79.610149 loss=1.989595 Epoch[174] Batch [0049]/[3759] Speed: 115.985610 samples/sec accuracy=60.500000 loss=1.689162 lr=0.004464 Epoch[174] Batch [0099]/[3759] Speed: 164.279940 samples/sec accuracy=60.218750 loss=1.677497 lr=0.004459 Epoch[174] Batch [0149]/[3759] Speed: 164.311847 samples/sec accuracy=59.760417 loss=1.710404 lr=0.004454 Epoch[174] Batch [0199]/[3759] Speed: 164.120977 samples/sec accuracy=59.843750 loss=1.710505 lr=0.004448 Epoch[174] Batch [0249]/[3759] Speed: 163.720246 samples/sec accuracy=59.512500 loss=1.727755 lr=0.004443 Epoch[174] Batch [0299]/[3759] Speed: 164.396083 samples/sec accuracy=59.656250 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accuracy=59.890000 loss=1.722839 lr=0.004337 Epoch[174] Batch [1299]/[3759] Speed: 163.212961 samples/sec accuracy=59.950721 loss=1.720365 lr=0.004332 Epoch[174] Batch [1349]/[3759] Speed: 163.906867 samples/sec accuracy=59.964120 loss=1.719699 lr=0.004327 Epoch[174] Batch [1399]/[3759] Speed: 163.932781 samples/sec accuracy=59.940848 loss=1.722367 lr=0.004322 Epoch[174] Batch [1449]/[3759] Speed: 164.843416 samples/sec accuracy=59.890086 loss=1.722632 lr=0.004316 Epoch[174] Batch [1499]/[3759] Speed: 163.283818 samples/sec accuracy=59.848958 loss=1.723061 lr=0.004311 Epoch[174] Batch [1549]/[3759] Speed: 164.799179 samples/sec accuracy=59.816532 loss=1.723038 lr=0.004306 Epoch[174] Batch [1599]/[3759] Speed: 163.457374 samples/sec accuracy=59.831055 loss=1.723671 lr=0.004301 Epoch[174] Batch [1649]/[3759] Speed: 165.287553 samples/sec accuracy=59.816288 loss=1.723285 lr=0.004295 Epoch[174] Batch [1699]/[3759] Speed: 163.832036 samples/sec accuracy=59.819853 loss=1.724587 lr=0.004290 Epoch[174] Batch [1749]/[3759] Speed: 163.717298 samples/sec accuracy=59.853571 loss=1.722560 lr=0.004285 Epoch[174] Batch [1799]/[3759] Speed: 163.563671 samples/sec accuracy=59.864583 loss=1.722098 lr=0.004280 Epoch[174] Batch [1849]/[3759] Speed: 163.640603 samples/sec accuracy=59.891892 loss=1.720882 lr=0.004274 Epoch[174] Batch [1899]/[3759] Speed: 164.419881 samples/sec accuracy=59.945724 loss=1.719190 lr=0.004269 Epoch[174] Batch [1949]/[3759] Speed: 164.357866 samples/sec accuracy=59.936699 loss=1.718782 lr=0.004264 Epoch[174] Batch [1999]/[3759] Speed: 164.616228 samples/sec accuracy=59.917969 loss=1.719617 lr=0.004259 Epoch[174] Batch [2049]/[3759] Speed: 165.388702 samples/sec accuracy=59.939024 loss=1.719158 lr=0.004254 Epoch[174] Batch [2099]/[3759] Speed: 163.762423 samples/sec accuracy=59.977679 loss=1.718172 lr=0.004248 Epoch[174] Batch [2149]/[3759] Speed: 162.941508 samples/sec accuracy=59.989099 loss=1.718012 lr=0.004243 Epoch[174] Batch [2199]/[3759] Speed: 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loss=1.718708 lr=0.004191 Epoch[174] Batch [2699]/[3759] Speed: 164.702208 samples/sec accuracy=59.986111 loss=1.719629 lr=0.004186 Epoch[174] Batch [2749]/[3759] Speed: 163.683390 samples/sec accuracy=60.011932 loss=1.719091 lr=0.004181 Epoch[174] Batch [2799]/[3759] Speed: 164.137961 samples/sec accuracy=60.001674 loss=1.718931 lr=0.004176 Epoch[174] Batch [2849]/[3759] Speed: 163.772294 samples/sec accuracy=60.027961 loss=1.717748 lr=0.004171 Epoch[174] Batch [2899]/[3759] Speed: 164.038799 samples/sec accuracy=60.003233 loss=1.719008 lr=0.004166 Epoch[174] Batch [2949]/[3759] Speed: 163.365377 samples/sec accuracy=60.016949 loss=1.717970 lr=0.004160 Epoch[174] Batch [2999]/[3759] Speed: 164.410167 samples/sec accuracy=60.029687 loss=1.717197 lr=0.004155 Epoch[174] Batch [3049]/[3759] Speed: 163.228805 samples/sec accuracy=60.021004 loss=1.717649 lr=0.004150 Epoch[174] Batch [3099]/[3759] Speed: 164.116227 samples/sec accuracy=60.022177 loss=1.718238 lr=0.004145 Epoch[174] Batch 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accuracy=60.004774 loss=1.719110 lr=0.004094 Epoch[174] Batch [3649]/[3759] Speed: 164.732101 samples/sec accuracy=59.986729 loss=1.720033 lr=0.004089 Epoch[174] Batch [3699]/[3759] Speed: 163.150740 samples/sec accuracy=60.000845 loss=1.719889 lr=0.004083 Epoch[174] Batch [3749]/[3759] Speed: 175.855708 samples/sec accuracy=59.980417 loss=1.720623 lr=0.004078 Batch [0049]/[0303]: acc-top1=55.937500 acc-top5=78.187500 Batch [0099]/[0303]: acc-top1=53.734375 acc-top5=77.593750 Batch [0149]/[0303]: acc-top1=55.145833 acc-top5=78.343750 Batch [0199]/[0303]: acc-top1=57.632812 acc-top5=80.000000 Batch [0249]/[0303]: acc-top1=57.218750 acc-top5=79.537500 Batch [0299]/[0303]: acc-top1=56.875000 acc-top5=79.546875 [Epoch 174] training: accuracy=59.975642 loss=1.720799 [Epoch 174] speed: 163 samples/sec time cost: 1587.405229 [Epoch 174] validation: acc-top1=56.806931 acc-top5=79.558581 loss=2.019822 Epoch[175] Batch [0049]/[3760] Speed: 117.287611 samples/sec accuracy=60.156250 loss=1.650647 lr=0.004072 Epoch[175] Batch [0099]/[3760] Speed: 162.414382 samples/sec accuracy=60.890625 loss=1.649881 lr=0.004067 Epoch[175] Batch [0149]/[3760] Speed: 163.486564 samples/sec accuracy=60.833333 loss=1.652910 lr=0.004062 Epoch[175] Batch [0199]/[3760] Speed: 165.480985 samples/sec accuracy=60.460938 loss=1.665142 lr=0.004057 Epoch[175] Batch [0249]/[3760] Speed: 162.988762 samples/sec accuracy=60.781250 loss=1.657642 lr=0.004052 Epoch[175] Batch [0299]/[3760] Speed: 163.965320 samples/sec accuracy=60.776042 loss=1.658353 lr=0.004047 Epoch[175] Batch [0349]/[3760] Speed: 164.430096 samples/sec accuracy=60.901786 loss=1.658605 lr=0.004042 Epoch[175] Batch [0399]/[3760] Speed: 164.551862 samples/sec accuracy=60.875000 loss=1.659796 lr=0.004037 Epoch[175] Batch [0449]/[3760] Speed: 164.394049 samples/sec accuracy=60.750000 loss=1.669801 lr=0.004032 Epoch[175] Batch [0499]/[3760] Speed: 163.718674 samples/sec accuracy=60.781250 loss=1.668104 lr=0.004027 Epoch[175] Batch [0549]/[3760] 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accuracy=60.829687 loss=1.675317 lr=0.003976 Epoch[175] Batch [1049]/[3760] Speed: 163.214497 samples/sec accuracy=60.805060 loss=1.676091 lr=0.003971 Epoch[175] Batch [1099]/[3760] Speed: 164.773349 samples/sec accuracy=60.872159 loss=1.675322 lr=0.003966 Epoch[175] Batch [1149]/[3760] Speed: 163.545100 samples/sec accuracy=60.783967 loss=1.680446 lr=0.003961 Epoch[175] Batch [1199]/[3760] Speed: 164.373888 samples/sec accuracy=60.765625 loss=1.681639 lr=0.003956 Epoch[175] Batch [1249]/[3760] Speed: 165.288870 samples/sec accuracy=60.716250 loss=1.682307 lr=0.003951 Epoch[175] Batch [1299]/[3760] Speed: 161.978980 samples/sec accuracy=60.681490 loss=1.682437 lr=0.003946 Epoch[175] Batch [1349]/[3760] Speed: 164.875803 samples/sec accuracy=60.657407 loss=1.683216 lr=0.003941 Epoch[175] Batch [1399]/[3760] Speed: 164.345521 samples/sec accuracy=60.638393 loss=1.683849 lr=0.003936 Epoch[175] Batch [1449]/[3760] Speed: 163.624039 samples/sec accuracy=60.565733 loss=1.686462 lr=0.003931 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loss=1.685022 lr=0.003836 Epoch[175] Batch [2449]/[3760] Speed: 165.890235 samples/sec accuracy=60.596301 loss=1.684734 lr=0.003831 Epoch[175] Batch [2499]/[3760] Speed: 164.136670 samples/sec accuracy=60.563750 loss=1.686057 lr=0.003826 Epoch[175] Batch [2549]/[3760] Speed: 163.821488 samples/sec accuracy=60.550245 loss=1.686431 lr=0.003821 Epoch[175] Batch [2599]/[3760] Speed: 163.440059 samples/sec accuracy=60.539663 loss=1.687521 lr=0.003816 Epoch[175] Batch [2649]/[3760] Speed: 163.278286 samples/sec accuracy=60.520637 loss=1.688749 lr=0.003811 Epoch[175] Batch [2699]/[3760] Speed: 164.790324 samples/sec accuracy=60.516204 loss=1.689377 lr=0.003806 Epoch[175] Batch [2749]/[3760] Speed: 163.037680 samples/sec accuracy=60.510795 loss=1.690386 lr=0.003802 Epoch[175] Batch [2799]/[3760] Speed: 163.487291 samples/sec accuracy=60.496094 loss=1.690605 lr=0.003797 Epoch[175] Batch [2849]/[3760] Speed: 163.735015 samples/sec accuracy=60.497807 loss=1.690586 lr=0.003792 Epoch[175] Batch 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accuracy=60.463153 loss=1.692012 lr=0.003743 Epoch[175] Batch [3399]/[3760] Speed: 163.562937 samples/sec accuracy=60.425092 loss=1.693510 lr=0.003738 Epoch[175] Batch [3449]/[3760] Speed: 163.224624 samples/sec accuracy=60.430254 loss=1.693871 lr=0.003733 Epoch[175] Batch [3499]/[3760] Speed: 165.157114 samples/sec accuracy=60.443304 loss=1.693689 lr=0.003728 Epoch[175] Batch [3549]/[3760] Speed: 164.188972 samples/sec accuracy=60.415053 loss=1.694420 lr=0.003723 Epoch[175] Batch [3599]/[3760] Speed: 164.582286 samples/sec accuracy=60.412760 loss=1.694401 lr=0.003718 Epoch[175] Batch [3649]/[3760] Speed: 159.650598 samples/sec accuracy=60.393408 loss=1.694959 lr=0.003713 Epoch[175] Batch [3699]/[3760] Speed: 165.208720 samples/sec accuracy=60.407095 loss=1.693876 lr=0.003708 Epoch[175] Batch [3749]/[3760] Speed: 177.651159 samples/sec accuracy=60.399583 loss=1.694050 lr=0.003703 Batch [0049]/[0303]: acc-top1=56.843750 acc-top5=78.562500 Batch [0099]/[0303]: acc-top1=54.906250 acc-top5=78.171875 Batch [0149]/[0303]: acc-top1=56.385417 acc-top5=78.906250 Batch [0199]/[0303]: acc-top1=58.484375 acc-top5=80.140625 Batch [0249]/[0303]: acc-top1=57.768750 acc-top5=79.731250 Batch [0299]/[0303]: acc-top1=57.468750 acc-top5=79.869792 [Epoch 175] training: accuracy=60.388547 loss=1.694509 [Epoch 175] speed: 163 samples/sec time cost: 1588.994655 [Epoch 175] validation: acc-top1=57.379332 acc-top5=79.847360 loss=1.990770 Epoch[176] Batch [0049]/[3760] Speed: 116.073711 samples/sec accuracy=61.281250 loss=1.649903 lr=0.003698 Epoch[176] Batch [0099]/[3760] Speed: 164.572738 samples/sec accuracy=61.562500 loss=1.640315 lr=0.003693 Epoch[176] Batch [0149]/[3760] Speed: 162.889538 samples/sec accuracy=61.114583 loss=1.648884 lr=0.003688 Epoch[176] Batch [0199]/[3760] Speed: 164.682674 samples/sec accuracy=60.914062 loss=1.669778 lr=0.003683 Epoch[176] Batch [0249]/[3760] Speed: 165.049420 samples/sec accuracy=61.212500 loss=1.661311 lr=0.003678 Epoch[176] Batch 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accuracy=61.064583 loss=1.662060 lr=0.003630 Epoch[176] Batch [0799]/[3760] Speed: 164.373697 samples/sec accuracy=61.089844 loss=1.660127 lr=0.003625 Epoch[176] Batch [0849]/[3760] Speed: 163.071985 samples/sec accuracy=61.045956 loss=1.661046 lr=0.003620 Epoch[176] Batch [0899]/[3760] Speed: 162.920424 samples/sec accuracy=61.111111 loss=1.657729 lr=0.003615 Epoch[176] Batch [0949]/[3760] Speed: 163.531183 samples/sec accuracy=61.134868 loss=1.655678 lr=0.003611 Epoch[176] Batch [0999]/[3760] Speed: 164.139213 samples/sec accuracy=61.225000 loss=1.653543 lr=0.003606 Epoch[176] Batch [1049]/[3760] Speed: 164.192244 samples/sec accuracy=61.205357 loss=1.654873 lr=0.003601 Epoch[176] Batch [1099]/[3760] Speed: 166.033283 samples/sec accuracy=61.136364 loss=1.656819 lr=0.003596 Epoch[176] Batch [1149]/[3760] Speed: 164.393967 samples/sec accuracy=61.176630 loss=1.656214 lr=0.003591 Epoch[176] Batch [1199]/[3760] Speed: 161.573301 samples/sec accuracy=61.188802 loss=1.655219 lr=0.003586 Epoch[176] Batch [1249]/[3760] Speed: 164.101962 samples/sec accuracy=61.206250 loss=1.655781 lr=0.003582 Epoch[176] Batch [1299]/[3760] Speed: 163.961342 samples/sec accuracy=61.191106 loss=1.657288 lr=0.003577 Epoch[176] Batch [1349]/[3760] Speed: 164.068410 samples/sec accuracy=61.175926 loss=1.657307 lr=0.003572 Epoch[176] Batch [1399]/[3760] Speed: 163.037601 samples/sec accuracy=61.197545 loss=1.656884 lr=0.003567 Epoch[176] Batch [1449]/[3760] Speed: 162.563531 samples/sec accuracy=61.243534 loss=1.654275 lr=0.003563 Epoch[176] Batch [1499]/[3760] Speed: 165.695490 samples/sec accuracy=61.241667 loss=1.655362 lr=0.003558 Epoch[176] Batch [1549]/[3760] Speed: 163.359161 samples/sec accuracy=61.223790 loss=1.655361 lr=0.003553 Epoch[176] Batch [1599]/[3760] Speed: 165.613684 samples/sec accuracy=61.229492 loss=1.654902 lr=0.003548 Epoch[176] Batch [1649]/[3760] Speed: 164.223461 samples/sec accuracy=61.214962 loss=1.656186 lr=0.003543 Epoch[176] Batch [1699]/[3760] Speed: 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loss=1.658416 lr=0.003496 Epoch[176] Batch [2199]/[3760] Speed: 164.762270 samples/sec accuracy=61.139915 loss=1.659328 lr=0.003491 Epoch[176] Batch [2249]/[3760] Speed: 164.484378 samples/sec accuracy=61.142361 loss=1.659701 lr=0.003486 Epoch[176] Batch [2299]/[3760] Speed: 163.976165 samples/sec accuracy=61.136549 loss=1.660561 lr=0.003482 Epoch[176] Batch [2349]/[3760] Speed: 165.165522 samples/sec accuracy=61.123670 loss=1.660735 lr=0.003477 Epoch[176] Batch [2399]/[3760] Speed: 163.197057 samples/sec accuracy=61.140625 loss=1.660421 lr=0.003472 Epoch[176] Batch [2449]/[3760] Speed: 164.546735 samples/sec accuracy=61.105867 loss=1.662379 lr=0.003468 Epoch[176] Batch [2499]/[3760] Speed: 163.323807 samples/sec accuracy=61.142500 loss=1.661289 lr=0.003463 Epoch[176] Batch [2549]/[3760] Speed: 164.326138 samples/sec accuracy=61.161765 loss=1.661043 lr=0.003458 Epoch[176] Batch [2599]/[3760] Speed: 163.161422 samples/sec accuracy=61.164663 loss=1.660924 lr=0.003453 Epoch[176] Batch 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accuracy=61.111391 loss=1.661483 lr=0.003406 Epoch[176] Batch [3149]/[3760] Speed: 164.119165 samples/sec accuracy=61.115575 loss=1.661002 lr=0.003402 Epoch[176] Batch [3199]/[3760] Speed: 163.445423 samples/sec accuracy=61.116699 loss=1.661084 lr=0.003397 Epoch[176] Batch [3249]/[3760] Speed: 164.206862 samples/sec accuracy=61.099038 loss=1.661991 lr=0.003392 Epoch[176] Batch [3299]/[3760] Speed: 162.732489 samples/sec accuracy=61.109848 loss=1.662093 lr=0.003388 Epoch[176] Batch [3349]/[3760] Speed: 164.551993 samples/sec accuracy=61.084422 loss=1.663279 lr=0.003383 Epoch[176] Batch [3399]/[3760] Speed: 163.533640 samples/sec accuracy=61.073989 loss=1.663393 lr=0.003378 Epoch[176] Batch [3449]/[3760] Speed: 164.002876 samples/sec accuracy=61.079257 loss=1.663178 lr=0.003374 Epoch[176] Batch [3499]/[3760] Speed: 162.169878 samples/sec accuracy=61.081250 loss=1.663173 lr=0.003369 Epoch[176] Batch [3549]/[3760] Speed: 164.657234 samples/sec accuracy=61.089349 loss=1.662763 lr=0.003364 Epoch[176] Batch [3599]/[3760] Speed: 162.896578 samples/sec accuracy=61.066406 loss=1.663121 lr=0.003360 Epoch[176] Batch [3649]/[3760] Speed: 165.333120 samples/sec accuracy=61.053510 loss=1.663316 lr=0.003355 Epoch[176] Batch [3699]/[3760] Speed: 163.315739 samples/sec accuracy=61.045608 loss=1.663674 lr=0.003351 Epoch[176] Batch [3749]/[3760] Speed: 176.660604 samples/sec accuracy=61.045417 loss=1.663459 lr=0.003346 Batch [0049]/[0303]: acc-top1=57.500000 acc-top5=79.656250 Batch [0099]/[0303]: acc-top1=54.703125 acc-top5=78.328125 Batch [0149]/[0303]: acc-top1=56.437500 acc-top5=79.177083 Batch [0199]/[0303]: acc-top1=58.898438 acc-top5=80.570312 Batch [0249]/[0303]: acc-top1=58.418750 acc-top5=80.125000 Batch [0299]/[0303]: acc-top1=57.921875 acc-top5=80.161458 [Epoch 176] training: accuracy=61.039727 loss=1.663746 [Epoch 176] speed: 163 samples/sec time cost: 1587.447574 [Epoch 176] validation: acc-top1=57.817657 acc-top5=80.125825 loss=1.968748 Epoch[177] Batch [0049]/[3759] Speed: 114.726855 samples/sec accuracy=62.187500 loss=1.624738 lr=0.003340 Epoch[177] Batch [0099]/[3759] Speed: 165.223885 samples/sec accuracy=61.562500 loss=1.635690 lr=0.003336 Epoch[177] Batch [0149]/[3759] Speed: 163.715047 samples/sec accuracy=61.802083 loss=1.629731 lr=0.003331 Epoch[177] Batch [0199]/[3759] Speed: 164.416797 samples/sec accuracy=61.812500 loss=1.638137 lr=0.003326 Epoch[177] Batch [0249]/[3759] Speed: 165.045649 samples/sec accuracy=61.825000 loss=1.638049 lr=0.003322 Epoch[177] Batch [0299]/[3759] Speed: 163.620516 samples/sec accuracy=61.973958 loss=1.634266 lr=0.003317 Epoch[177] Batch [0349]/[3759] Speed: 161.911625 samples/sec accuracy=62.125000 loss=1.626062 lr=0.003313 Epoch[177] Batch [0399]/[3759] Speed: 164.618520 samples/sec accuracy=62.101562 loss=1.623877 lr=0.003308 Epoch[177] Batch [0449]/[3759] Speed: 164.791670 samples/sec accuracy=61.930556 loss=1.625217 lr=0.003303 Epoch[177] Batch [0499]/[3759] Speed: 163.165572 samples/sec accuracy=61.915625 loss=1.626378 lr=0.003299 Epoch[177] Batch [0549]/[3759] Speed: 164.815704 samples/sec accuracy=61.880682 loss=1.626694 lr=0.003294 Epoch[177] Batch [0599]/[3759] Speed: 163.835908 samples/sec accuracy=61.890625 loss=1.624450 lr=0.003290 Epoch[177] Batch [0649]/[3759] Speed: 164.788961 samples/sec accuracy=61.781250 loss=1.627987 lr=0.003285 Epoch[177] Batch [0699]/[3759] Speed: 162.614974 samples/sec accuracy=61.703125 loss=1.628260 lr=0.003280 Epoch[177] Batch [0749]/[3759] Speed: 162.284770 samples/sec accuracy=61.720833 loss=1.628903 lr=0.003276 Epoch[177] Batch [0799]/[3759] Speed: 165.541915 samples/sec accuracy=61.654297 loss=1.631675 lr=0.003271 Epoch[177] Batch [0849]/[3759] Speed: 164.765056 samples/sec accuracy=61.683824 loss=1.631405 lr=0.003267 Epoch[177] Batch [0899]/[3759] Speed: 162.846774 samples/sec accuracy=61.651042 loss=1.631417 lr=0.003262 Epoch[177] Batch [0949]/[3759] Speed: 163.790279 samples/sec accuracy=61.669408 loss=1.631421 lr=0.003257 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loss=1.630199 lr=0.003171 Epoch[177] Batch [1949]/[3759] Speed: 164.133661 samples/sec accuracy=61.687500 loss=1.630713 lr=0.003166 Epoch[177] Batch [1999]/[3759] Speed: 163.189330 samples/sec accuracy=61.674219 loss=1.630981 lr=0.003162 Epoch[177] Batch [2049]/[3759] Speed: 164.561848 samples/sec accuracy=61.722561 loss=1.629275 lr=0.003157 Epoch[177] Batch [2099]/[3759] Speed: 161.633159 samples/sec accuracy=61.729911 loss=1.628220 lr=0.003153 Epoch[177] Batch [2149]/[3759] Speed: 163.902170 samples/sec accuracy=61.725291 loss=1.628547 lr=0.003148 Epoch[177] Batch [2199]/[3759] Speed: 163.750279 samples/sec accuracy=61.692472 loss=1.629797 lr=0.003144 Epoch[177] Batch [2249]/[3759] Speed: 164.047003 samples/sec accuracy=61.672917 loss=1.631850 lr=0.003139 Epoch[177] Batch [2299]/[3759] Speed: 163.891824 samples/sec accuracy=61.669158 loss=1.631333 lr=0.003135 Epoch[177] Batch [2349]/[3759] Speed: 164.532765 samples/sec accuracy=61.688830 loss=1.631170 lr=0.003130 Epoch[177] Batch 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accuracy=61.678728 loss=1.631482 lr=0.003086 Epoch[177] Batch [2899]/[3759] Speed: 164.772789 samples/sec accuracy=61.673491 loss=1.631437 lr=0.003081 Epoch[177] Batch [2949]/[3759] Speed: 163.639845 samples/sec accuracy=61.702331 loss=1.630584 lr=0.003077 Epoch[177] Batch [2999]/[3759] Speed: 163.002378 samples/sec accuracy=61.682812 loss=1.631449 lr=0.003072 Epoch[177] Batch [3049]/[3759] Speed: 164.293188 samples/sec accuracy=61.679303 loss=1.631740 lr=0.003068 Epoch[177] Batch [3099]/[3759] Speed: 163.609124 samples/sec accuracy=61.668851 loss=1.632137 lr=0.003063 Epoch[177] Batch [3149]/[3759] Speed: 162.653744 samples/sec accuracy=61.669643 loss=1.631498 lr=0.003059 Epoch[177] Batch [3199]/[3759] Speed: 166.064003 samples/sec accuracy=61.687012 loss=1.631544 lr=0.003054 Epoch[177] Batch [3249]/[3759] Speed: 163.667099 samples/sec accuracy=61.671635 loss=1.632199 lr=0.003050 Epoch[177] Batch [3299]/[3759] Speed: 165.163030 samples/sec accuracy=61.682292 loss=1.632051 lr=0.003046 Epoch[177] Batch [3349]/[3759] Speed: 164.165421 samples/sec accuracy=61.662780 loss=1.632597 lr=0.003041 Epoch[177] Batch [3399]/[3759] Speed: 163.185320 samples/sec accuracy=61.666820 loss=1.633093 lr=0.003037 Epoch[177] Batch [3449]/[3759] Speed: 164.999360 samples/sec accuracy=61.658062 loss=1.634290 lr=0.003032 Epoch[177] Batch [3499]/[3759] Speed: 164.128702 samples/sec accuracy=61.662054 loss=1.634687 lr=0.003028 Epoch[177] Batch [3549]/[3759] Speed: 163.128172 samples/sec accuracy=61.675176 loss=1.634279 lr=0.003024 Epoch[177] Batch [3599]/[3759] Speed: 164.805725 samples/sec accuracy=61.676649 loss=1.633857 lr=0.003019 Epoch[177] Batch [3649]/[3759] Speed: 162.913042 samples/sec accuracy=61.667808 loss=1.634225 lr=0.003015 Epoch[177] Batch [3699]/[3759] Speed: 163.644378 samples/sec accuracy=61.667230 loss=1.634463 lr=0.003010 Epoch[177] Batch [3749]/[3759] Speed: 177.538720 samples/sec accuracy=61.652917 loss=1.635135 lr=0.003006 Batch [0049]/[0303]: acc-top1=58.218750 acc-top5=79.187500 Batch [0099]/[0303]: acc-top1=55.578125 acc-top5=78.468750 Batch [0149]/[0303]: acc-top1=56.583333 acc-top5=79.291667 Batch [0199]/[0303]: acc-top1=58.960938 acc-top5=80.703125 Batch [0249]/[0303]: acc-top1=58.337500 acc-top5=80.243750 Batch [0299]/[0303]: acc-top1=58.234375 acc-top5=80.270833 [Epoch 177] training: accuracy=61.656607 loss=1.634768 [Epoch 177] speed: 163 samples/sec time cost: 1587.350028 [Epoch 177] validation: acc-top1=58.173474 acc-top5=80.249587 loss=1.935606 Epoch[178] Batch [0049]/[3760] Speed: 114.131053 samples/sec accuracy=61.593750 loss=1.676978 lr=0.003001 Epoch[178] Batch [0099]/[3760] Speed: 164.873110 samples/sec accuracy=61.781250 loss=1.649562 lr=0.002996 Epoch[178] Batch [0149]/[3760] Speed: 163.089817 samples/sec accuracy=61.854167 loss=1.649761 lr=0.002992 Epoch[178] Batch [0199]/[3760] Speed: 163.767518 samples/sec accuracy=62.171875 loss=1.624972 lr=0.002987 Epoch[178] Batch [0249]/[3760] Speed: 164.716805 samples/sec accuracy=62.700000 loss=1.607078 lr=0.002983 Epoch[178] Batch [0299]/[3760] Speed: 165.139098 samples/sec accuracy=62.822917 loss=1.593649 lr=0.002979 Epoch[178] Batch [0349]/[3760] Speed: 164.131110 samples/sec accuracy=62.723214 loss=1.595965 lr=0.002974 Epoch[178] Batch [0399]/[3760] Speed: 163.799902 samples/sec accuracy=62.628906 loss=1.603307 lr=0.002970 Epoch[178] Batch [0449]/[3760] Speed: 165.629376 samples/sec accuracy=62.670139 loss=1.600454 lr=0.002966 Epoch[178] Batch [0499]/[3760] Speed: 164.707042 samples/sec accuracy=62.762500 loss=1.598303 lr=0.002961 Epoch[178] Batch [0549]/[3760] Speed: 165.341153 samples/sec accuracy=62.630682 loss=1.598995 lr=0.002957 Epoch[178] Batch [0599]/[3760] Speed: 164.265569 samples/sec accuracy=62.781250 loss=1.594040 lr=0.002952 Epoch[178] Batch [0649]/[3760] Speed: 163.962259 samples/sec accuracy=62.875000 loss=1.592464 lr=0.002948 Epoch[178] Batch [0699]/[3760] Speed: 162.602973 samples/sec accuracy=62.908482 loss=1.590247 lr=0.002944 Epoch[178] Batch [0749]/[3760] Speed: 163.390491 samples/sec accuracy=62.795833 loss=1.594235 lr=0.002939 Epoch[178] Batch [0799]/[3760] Speed: 164.078449 samples/sec accuracy=62.724609 loss=1.599578 lr=0.002935 Epoch[178] Batch [0849]/[3760] Speed: 163.777808 samples/sec accuracy=62.647059 loss=1.602205 lr=0.002931 Epoch[178] Batch [0899]/[3760] Speed: 164.516353 samples/sec accuracy=62.604167 loss=1.602008 lr=0.002926 Epoch[178] Batch [0949]/[3760] Speed: 164.335444 samples/sec accuracy=62.565789 loss=1.604304 lr=0.002922 Epoch[178] Batch [0999]/[3760] Speed: 163.906257 samples/sec accuracy=62.575000 loss=1.604028 lr=0.002918 Epoch[178] Batch [1049]/[3760] Speed: 161.814379 samples/sec accuracy=62.625000 loss=1.601179 lr=0.002913 Epoch[178] Batch [1099]/[3760] Speed: 165.259045 samples/sec accuracy=62.612216 loss=1.600955 lr=0.002909 Epoch[178] Batch [1149]/[3760] Speed: 164.088221 samples/sec accuracy=62.497283 loss=1.605228 lr=0.002905 Epoch[178] Batch [1199]/[3760] Speed: 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loss=1.600555 lr=0.002861 Epoch[178] Batch [1699]/[3760] Speed: 164.642825 samples/sec accuracy=62.489890 loss=1.600956 lr=0.002857 Epoch[178] Batch [1749]/[3760] Speed: 162.957406 samples/sec accuracy=62.479464 loss=1.600130 lr=0.002853 Epoch[178] Batch [1799]/[3760] Speed: 166.215222 samples/sec accuracy=62.514757 loss=1.599457 lr=0.002849 Epoch[178] Batch [1849]/[3760] Speed: 163.872376 samples/sec accuracy=62.516047 loss=1.598930 lr=0.002844 Epoch[178] Batch [1899]/[3760] Speed: 162.250423 samples/sec accuracy=62.518914 loss=1.598452 lr=0.002840 Epoch[178] Batch [1949]/[3760] Speed: 165.705181 samples/sec accuracy=62.516026 loss=1.598923 lr=0.002836 Epoch[178] Batch [1999]/[3760] Speed: 164.064455 samples/sec accuracy=62.533594 loss=1.597686 lr=0.002831 Epoch[178] Batch [2049]/[3760] Speed: 164.734165 samples/sec accuracy=62.507622 loss=1.598465 lr=0.002827 Epoch[178] Batch [2099]/[3760] Speed: 162.383427 samples/sec accuracy=62.483631 loss=1.599853 lr=0.002823 Epoch[178] Batch 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accuracy=62.429688 loss=1.600932 lr=0.002780 Epoch[178] Batch [2649]/[3760] Speed: 165.155535 samples/sec accuracy=62.433373 loss=1.600305 lr=0.002776 Epoch[178] Batch [2699]/[3760] Speed: 162.643557 samples/sec accuracy=62.412037 loss=1.601713 lr=0.002772 Epoch[178] Batch [2749]/[3760] Speed: 165.473153 samples/sec accuracy=62.414205 loss=1.601856 lr=0.002768 Epoch[178] Batch [2799]/[3760] Speed: 164.058252 samples/sec accuracy=62.409598 loss=1.602125 lr=0.002763 Epoch[178] Batch [2849]/[3760] Speed: 164.649738 samples/sec accuracy=62.379386 loss=1.603146 lr=0.002759 Epoch[178] Batch [2899]/[3760] Speed: 164.447474 samples/sec accuracy=62.378772 loss=1.603404 lr=0.002755 Epoch[178] Batch [2949]/[3760] Speed: 161.895403 samples/sec accuracy=62.385064 loss=1.603025 lr=0.002751 Epoch[178] Batch [2999]/[3760] Speed: 164.863265 samples/sec accuracy=62.385937 loss=1.602526 lr=0.002746 Epoch[178] Batch [3049]/[3760] Speed: 162.744516 samples/sec accuracy=62.379611 loss=1.602360 lr=0.002742 Epoch[178] Batch [3099]/[3760] Speed: 164.190934 samples/sec accuracy=62.369960 loss=1.603800 lr=0.002738 Epoch[178] Batch [3149]/[3760] Speed: 165.560938 samples/sec accuracy=62.363095 loss=1.604364 lr=0.002734 Epoch[178] Batch [3199]/[3760] Speed: 163.708995 samples/sec accuracy=62.365723 loss=1.603801 lr=0.002730 Epoch[178] Batch [3249]/[3760] Speed: 164.298057 samples/sec accuracy=62.363462 loss=1.603741 lr=0.002725 Epoch[178] Batch [3299]/[3760] Speed: 164.855228 samples/sec accuracy=62.375947 loss=1.603482 lr=0.002721 Epoch[178] Batch [3349]/[3760] Speed: 164.361474 samples/sec accuracy=62.375000 loss=1.603690 lr=0.002717 Epoch[178] Batch [3399]/[3760] Speed: 162.524094 samples/sec accuracy=62.356158 loss=1.604854 lr=0.002713 Epoch[178] Batch [3449]/[3760] Speed: 163.525668 samples/sec accuracy=62.375906 loss=1.604056 lr=0.002709 Epoch[178] Batch [3499]/[3760] Speed: 162.859272 samples/sec accuracy=62.392411 loss=1.603534 lr=0.002704 Epoch[178] Batch [3549]/[3760] Speed: 165.052146 samples/sec accuracy=62.376320 loss=1.604277 lr=0.002700 Epoch[178] Batch [3599]/[3760] Speed: 163.116327 samples/sec accuracy=62.388021 loss=1.603818 lr=0.002696 Epoch[178] Batch [3649]/[3760] Speed: 163.504357 samples/sec accuracy=62.399401 loss=1.603716 lr=0.002692 Epoch[178] Batch [3699]/[3760] Speed: 164.344851 samples/sec accuracy=62.399493 loss=1.603866 lr=0.002688 Epoch[178] Batch [3749]/[3760] Speed: 176.088850 samples/sec accuracy=62.413333 loss=1.603795 lr=0.002684 Batch [0049]/[0303]: acc-top1=57.625000 acc-top5=79.718750 Batch [0099]/[0303]: acc-top1=55.625000 acc-top5=78.843750 Batch [0149]/[0303]: acc-top1=56.822917 acc-top5=79.593750 Batch [0199]/[0303]: acc-top1=59.351562 acc-top5=81.101562 Batch [0249]/[0303]: acc-top1=58.650000 acc-top5=80.568750 Batch [0299]/[0303]: acc-top1=58.348958 acc-top5=80.578125 [Epoch 178] training: accuracy=62.410239 loss=1.604054 [Epoch 178] speed: 163 samples/sec time cost: 1588.071653 [Epoch 178] validation: acc-top1=58.281766 acc-top5=80.558993 loss=1.935000 Epoch[179] Batch [0049]/[3760] Speed: 115.021921 samples/sec accuracy=63.187500 loss=1.538345 lr=0.002679 Epoch[179] Batch [0099]/[3760] Speed: 164.758088 samples/sec accuracy=63.250000 loss=1.559242 lr=0.002674 Epoch[179] Batch [0149]/[3760] Speed: 163.634648 samples/sec accuracy=63.156250 loss=1.563433 lr=0.002670 Epoch[179] Batch [0199]/[3760] Speed: 163.097663 samples/sec accuracy=63.039062 loss=1.563989 lr=0.002666 Epoch[179] Batch [0249]/[3760] Speed: 164.116333 samples/sec accuracy=63.175000 loss=1.568428 lr=0.002662 Epoch[179] Batch [0299]/[3760] Speed: 165.293406 samples/sec accuracy=63.187500 loss=1.570494 lr=0.002658 Epoch[179] Batch [0349]/[3760] Speed: 163.118739 samples/sec accuracy=63.383929 loss=1.559859 lr=0.002654 Epoch[179] Batch [0399]/[3760] Speed: 164.725763 samples/sec accuracy=63.054687 loss=1.575185 lr=0.002650 Epoch[179] Batch [0449]/[3760] Speed: 163.334328 samples/sec accuracy=63.177083 loss=1.567295 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accuracy=63.100446 loss=1.568571 lr=0.002567 Epoch[179] Batch [1449]/[3760] Speed: 164.165656 samples/sec accuracy=63.056034 loss=1.570568 lr=0.002563 Epoch[179] Batch [1499]/[3760] Speed: 164.844143 samples/sec accuracy=63.081250 loss=1.568198 lr=0.002559 Epoch[179] Batch [1549]/[3760] Speed: 161.616713 samples/sec accuracy=63.081653 loss=1.568012 lr=0.002555 Epoch[179] Batch [1599]/[3760] Speed: 164.561378 samples/sec accuracy=63.058594 loss=1.569268 lr=0.002551 Epoch[179] Batch [1649]/[3760] Speed: 164.151232 samples/sec accuracy=63.107955 loss=1.567976 lr=0.002547 Epoch[179] Batch [1699]/[3760] Speed: 164.609269 samples/sec accuracy=63.076287 loss=1.569922 lr=0.002543 Epoch[179] Batch [1749]/[3760] Speed: 163.530719 samples/sec accuracy=63.038393 loss=1.572259 lr=0.002539 Epoch[179] Batch [1799]/[3760] Speed: 163.352600 samples/sec accuracy=63.006944 loss=1.574219 lr=0.002535 Epoch[179] Batch [1849]/[3760] Speed: 163.352091 samples/sec accuracy=63.026182 loss=1.573025 lr=0.002531 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loss=1.575647 lr=0.002454 Epoch[179] Batch [2849]/[3760] Speed: 162.204165 samples/sec accuracy=62.969846 loss=1.574661 lr=0.002450 Epoch[179] Batch [2899]/[3760] Speed: 164.099123 samples/sec accuracy=62.949892 loss=1.575416 lr=0.002446 Epoch[179] Batch [2949]/[3760] Speed: 163.187491 samples/sec accuracy=62.938559 loss=1.576142 lr=0.002442 Epoch[179] Batch [2999]/[3760] Speed: 163.984133 samples/sec accuracy=62.943750 loss=1.575935 lr=0.002438 Epoch[179] Batch [3049]/[3760] Speed: 159.411109 samples/sec accuracy=62.927254 loss=1.575975 lr=0.002434 Epoch[179] Batch [3099]/[3760] Speed: 165.676655 samples/sec accuracy=62.911794 loss=1.576712 lr=0.002430 Epoch[179] Batch [3149]/[3760] Speed: 163.261786 samples/sec accuracy=62.892361 loss=1.576917 lr=0.002426 Epoch[179] Batch [3199]/[3760] Speed: 165.253616 samples/sec accuracy=62.890137 loss=1.576928 lr=0.002422 Epoch[179] Batch [3249]/[3760] Speed: 164.075277 samples/sec accuracy=62.877885 loss=1.577399 lr=0.002419 Epoch[179] Batch 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accuracy=62.932917 loss=1.578562 lr=0.002379 Batch [0049]/[0303]: acc-top1=59.312500 acc-top5=80.281250 Batch [0099]/[0303]: acc-top1=56.375000 acc-top5=79.125000 Batch [0149]/[0303]: acc-top1=57.218750 acc-top5=79.625000 Batch [0199]/[0303]: acc-top1=59.750000 acc-top5=81.203125 Batch [0249]/[0303]: acc-top1=59.012500 acc-top5=80.781250 Batch [0299]/[0303]: acc-top1=58.848958 acc-top5=80.880208 [Epoch 179] training: accuracy=62.933843 loss=1.578516 [Epoch 179] speed: 163 samples/sec time cost: 1589.077915 [Epoch 179] validation: acc-top1=58.776815 acc-top5=80.868399 loss=1.909524 Epoch[180] Batch [0049]/[3759] Speed: 116.582297 samples/sec accuracy=63.937500 loss=1.525210 lr=0.002374 Epoch[180] Batch [0099]/[3759] Speed: 165.164075 samples/sec accuracy=63.328125 loss=1.537864 lr=0.002370 Epoch[180] Batch [0149]/[3759] Speed: 163.971147 samples/sec accuracy=63.479167 loss=1.554269 lr=0.002366 Epoch[180] Batch [0199]/[3759] Speed: 164.205747 samples/sec accuracy=63.609375 loss=1.555189 lr=0.002363 Epoch[180] Batch [0249]/[3759] Speed: 165.485284 samples/sec accuracy=63.518750 loss=1.549916 lr=0.002359 Epoch[180] Batch [0299]/[3759] Speed: 162.354345 samples/sec accuracy=63.510417 loss=1.550371 lr=0.002355 Epoch[180] Batch [0349]/[3759] Speed: 164.468865 samples/sec accuracy=63.397321 loss=1.553168 lr=0.002351 Epoch[180] Batch [0399]/[3759] Speed: 164.127883 samples/sec accuracy=63.539062 loss=1.544466 lr=0.002347 Epoch[180] Batch [0449]/[3759] Speed: 164.485810 samples/sec accuracy=63.479167 loss=1.550386 lr=0.002343 Epoch[180] Batch [0499]/[3759] Speed: 164.449815 samples/sec accuracy=63.318750 loss=1.555132 lr=0.002339 Epoch[180] Batch [0549]/[3759] Speed: 163.231961 samples/sec accuracy=63.218750 loss=1.557801 lr=0.002335 Epoch[180] Batch [0599]/[3759] Speed: 165.071776 samples/sec accuracy=63.281250 loss=1.555681 lr=0.002331 Epoch[180] Batch [0649]/[3759] Speed: 164.034188 samples/sec accuracy=63.247596 loss=1.559900 lr=0.002327 Epoch[180] Batch [0699]/[3759] 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accuracy=63.436141 loss=1.550241 lr=0.002289 Epoch[180] Batch [1199]/[3759] Speed: 163.671725 samples/sec accuracy=63.505208 loss=1.547176 lr=0.002285 Epoch[180] Batch [1249]/[3759] Speed: 164.997468 samples/sec accuracy=63.445000 loss=1.550070 lr=0.002281 Epoch[180] Batch [1299]/[3759] Speed: 163.828671 samples/sec accuracy=63.498798 loss=1.547785 lr=0.002277 Epoch[180] Batch [1349]/[3759] Speed: 165.424397 samples/sec accuracy=63.526620 loss=1.547890 lr=0.002273 Epoch[180] Batch [1399]/[3759] Speed: 165.261462 samples/sec accuracy=63.562500 loss=1.546292 lr=0.002269 Epoch[180] Batch [1449]/[3759] Speed: 162.133008 samples/sec accuracy=63.613147 loss=1.544211 lr=0.002266 Epoch[180] Batch [1499]/[3759] Speed: 164.352164 samples/sec accuracy=63.547917 loss=1.545694 lr=0.002262 Epoch[180] Batch [1549]/[3759] Speed: 164.486914 samples/sec accuracy=63.530242 loss=1.545523 lr=0.002258 Epoch[180] Batch [1599]/[3759] Speed: 163.719646 samples/sec accuracy=63.535156 loss=1.546122 lr=0.002254 Epoch[180] Batch [1649]/[3759] Speed: 163.674348 samples/sec accuracy=63.548295 loss=1.545916 lr=0.002250 Epoch[180] Batch [1699]/[3759] Speed: 164.077678 samples/sec accuracy=63.564338 loss=1.545479 lr=0.002246 Epoch[180] Batch [1749]/[3759] Speed: 165.062705 samples/sec accuracy=63.576786 loss=1.545984 lr=0.002243 Epoch[180] Batch [1799]/[3759] Speed: 163.475630 samples/sec accuracy=63.547743 loss=1.547139 lr=0.002239 Epoch[180] Batch [1849]/[3759] Speed: 161.406484 samples/sec accuracy=63.563345 loss=1.546403 lr=0.002235 Epoch[180] Batch [1899]/[3759] Speed: 164.035663 samples/sec accuracy=63.583059 loss=1.545194 lr=0.002231 Epoch[180] Batch [1949]/[3759] Speed: 165.753563 samples/sec accuracy=63.576923 loss=1.545480 lr=0.002227 Epoch[180] Batch [1999]/[3759] Speed: 164.458756 samples/sec accuracy=63.598438 loss=1.545718 lr=0.002224 Epoch[180] Batch [2049]/[3759] Speed: 163.012740 samples/sec accuracy=63.588415 loss=1.545542 lr=0.002220 Epoch[180] Batch [2099]/[3759] Speed: 163.349638 samples/sec accuracy=63.572917 loss=1.545946 lr=0.002216 Epoch[180] Batch [2149]/[3759] Speed: 165.304299 samples/sec accuracy=63.562500 loss=1.545884 lr=0.002212 Epoch[180] Batch [2199]/[3759] Speed: 164.972831 samples/sec accuracy=63.549006 loss=1.545915 lr=0.002208 Epoch[180] Batch [2249]/[3759] Speed: 163.453810 samples/sec accuracy=63.547917 loss=1.545987 lr=0.002205 Epoch[180] Batch [2299]/[3759] Speed: 163.670727 samples/sec accuracy=63.546196 loss=1.546063 lr=0.002201 Epoch[180] Batch [2349]/[3759] Speed: 163.706798 samples/sec accuracy=63.519947 loss=1.547097 lr=0.002197 Epoch[180] Batch [2399]/[3759] Speed: 165.074330 samples/sec accuracy=63.512370 loss=1.547944 lr=0.002193 Epoch[180] Batch [2449]/[3759] Speed: 165.384280 samples/sec accuracy=63.505102 loss=1.548700 lr=0.002189 Epoch[180] Batch [2499]/[3759] Speed: 163.725514 samples/sec accuracy=63.511250 loss=1.549526 lr=0.002186 Epoch[180] Batch [2549]/[3759] Speed: 164.530685 samples/sec accuracy=63.531250 loss=1.548275 lr=0.002182 Epoch[180] Batch [2599]/[3759] Speed: 163.059534 samples/sec accuracy=63.577524 loss=1.547219 lr=0.002178 Epoch[180] Batch [2649]/[3759] Speed: 163.391652 samples/sec accuracy=63.575472 loss=1.548363 lr=0.002174 Epoch[180] Batch [2699]/[3759] Speed: 164.283610 samples/sec accuracy=63.563079 loss=1.548864 lr=0.002171 Epoch[180] Batch [2749]/[3759] Speed: 164.962289 samples/sec accuracy=63.581818 loss=1.547976 lr=0.002167 Epoch[180] Batch [2799]/[3759] Speed: 165.488538 samples/sec accuracy=63.592634 loss=1.548391 lr=0.002163 Epoch[180] Batch [2849]/[3759] Speed: 164.431679 samples/sec accuracy=63.608004 loss=1.547359 lr=0.002159 Epoch[180] Batch [2899]/[3759] Speed: 164.317697 samples/sec accuracy=63.593211 loss=1.548062 lr=0.002156 Epoch[180] Batch [2949]/[3759] Speed: 162.790806 samples/sec accuracy=63.595339 loss=1.547672 lr=0.002152 Epoch[180] Batch [2999]/[3759] Speed: 163.689431 samples/sec accuracy=63.574479 loss=1.548179 lr=0.002148 Epoch[180] Batch [3049]/[3759] Speed: 164.230181 samples/sec accuracy=63.586578 loss=1.547706 lr=0.002144 Epoch[180] Batch [3099]/[3759] Speed: 163.943547 samples/sec accuracy=63.598790 loss=1.547332 lr=0.002141 Epoch[180] Batch [3149]/[3759] Speed: 164.265492 samples/sec accuracy=63.588790 loss=1.547426 lr=0.002137 Epoch[180] Batch [3199]/[3759] Speed: 163.206711 samples/sec accuracy=63.565918 loss=1.548428 lr=0.002133 Epoch[180] Batch [3249]/[3759] Speed: 164.105170 samples/sec accuracy=63.548077 loss=1.548945 lr=0.002129 Epoch[180] Batch [3299]/[3759] Speed: 161.489543 samples/sec accuracy=63.539299 loss=1.549398 lr=0.002126 Epoch[180] Batch [3349]/[3759] Speed: 165.584082 samples/sec accuracy=63.547108 loss=1.548727 lr=0.002122 Epoch[180] Batch [3399]/[3759] Speed: 164.711453 samples/sec accuracy=63.553768 loss=1.548795 lr=0.002118 Epoch[180] Batch [3449]/[3759] Speed: 164.592117 samples/sec accuracy=63.555254 loss=1.548245 lr=0.002115 Epoch[180] Batch [3499]/[3759] Speed: 164.745058 samples/sec accuracy=63.554018 loss=1.548244 lr=0.002111 Epoch[180] Batch [3549]/[3759] Speed: 164.402650 samples/sec accuracy=63.537852 loss=1.549396 lr=0.002107 Epoch[180] Batch [3599]/[3759] Speed: 164.128870 samples/sec accuracy=63.527778 loss=1.549757 lr=0.002103 Epoch[180] Batch [3649]/[3759] Speed: 163.567901 samples/sec accuracy=63.528253 loss=1.549374 lr=0.002100 Epoch[180] Batch [3699]/[3759] Speed: 162.104185 samples/sec accuracy=63.541385 loss=1.548853 lr=0.002096 Epoch[180] Batch [3749]/[3759] Speed: 177.699531 samples/sec accuracy=63.546667 loss=1.548876 lr=0.002092 Batch [0049]/[0303]: acc-top1=58.812500 acc-top5=79.656250 Batch [0099]/[0303]: acc-top1=56.171875 acc-top5=79.031250 Batch [0149]/[0303]: acc-top1=57.572917 acc-top5=79.822917 Batch [0199]/[0303]: acc-top1=59.945312 acc-top5=81.218750 Batch [0249]/[0303]: acc-top1=59.575000 acc-top5=80.956250 Batch [0299]/[0303]: acc-top1=59.187500 acc-top5=80.895833 [Epoch 180] training: accuracy=63.547486 loss=1.548727 [Epoch 180] speed: 163 samples/sec time cost: 1586.867543 [Epoch 180] validation: acc-top1=59.112005 acc-top5=80.873556 loss=1.903088 Epoch[181] Batch [0049]/[3760] Speed: 115.589359 samples/sec accuracy=64.406250 loss=1.514431 lr=0.002088 Epoch[181] Batch [0099]/[3760] Speed: 164.888896 samples/sec accuracy=64.375000 loss=1.506716 lr=0.002084 Epoch[181] Batch [0149]/[3760] Speed: 163.207819 samples/sec accuracy=64.593750 loss=1.505754 lr=0.002081 Epoch[181] Batch [0199]/[3760] Speed: 162.849344 samples/sec accuracy=64.679688 loss=1.495458 lr=0.002077 Epoch[181] Batch [0249]/[3760] Speed: 165.133620 samples/sec accuracy=64.843750 loss=1.486564 lr=0.002073 Epoch[181] Batch [0299]/[3760] Speed: 164.293494 samples/sec accuracy=64.833333 loss=1.490794 lr=0.002070 Epoch[181] Batch [0349]/[3760] Speed: 164.304722 samples/sec accuracy=64.589286 loss=1.502026 lr=0.002066 Epoch[181] Batch [0399]/[3760] Speed: 162.499961 samples/sec accuracy=64.554688 loss=1.501731 lr=0.002062 Epoch[181] Batch [0449]/[3760] 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accuracy=64.355903 loss=1.507738 lr=0.002026 Epoch[181] Batch [0949]/[3760] Speed: 163.171564 samples/sec accuracy=64.394737 loss=1.506308 lr=0.002022 Epoch[181] Batch [0999]/[3760] Speed: 163.862085 samples/sec accuracy=64.357812 loss=1.507242 lr=0.002019 Epoch[181] Batch [1049]/[3760] Speed: 162.903013 samples/sec accuracy=64.363095 loss=1.508056 lr=0.002015 Epoch[181] Batch [1099]/[3760] Speed: 166.007063 samples/sec accuracy=64.397727 loss=1.506051 lr=0.002011 Epoch[181] Batch [1149]/[3760] Speed: 164.203495 samples/sec accuracy=64.434783 loss=1.503718 lr=0.002008 Epoch[181] Batch [1199]/[3760] Speed: 163.981799 samples/sec accuracy=64.351562 loss=1.507464 lr=0.002004 Epoch[181] Batch [1249]/[3760] Speed: 164.186574 samples/sec accuracy=64.392500 loss=1.507677 lr=0.002000 Epoch[181] Batch [1299]/[3760] Speed: 164.772036 samples/sec accuracy=64.367788 loss=1.507060 lr=0.001997 Epoch[181] Batch [1349]/[3760] Speed: 164.134745 samples/sec accuracy=64.348380 loss=1.508659 lr=0.001993 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accuracy=64.233173 loss=1.515049 lr=0.001859 Epoch[181] Batch [3299]/[3760] Speed: 162.896224 samples/sec accuracy=64.217330 loss=1.515877 lr=0.001855 Epoch[181] Batch [3349]/[3760] Speed: 164.377244 samples/sec accuracy=64.252332 loss=1.515179 lr=0.001852 Epoch[181] Batch [3399]/[3760] Speed: 163.962123 samples/sec accuracy=64.268382 loss=1.514837 lr=0.001848 Epoch[181] Batch [3449]/[3760] Speed: 162.846758 samples/sec accuracy=64.252264 loss=1.515839 lr=0.001845 Epoch[181] Batch [3499]/[3760] Speed: 165.426265 samples/sec accuracy=64.242857 loss=1.516110 lr=0.001841 Epoch[181] Batch [3549]/[3760] Speed: 164.824689 samples/sec accuracy=64.250880 loss=1.515777 lr=0.001838 Epoch[181] Batch [3599]/[3760] Speed: 163.467459 samples/sec accuracy=64.243924 loss=1.515678 lr=0.001834 Epoch[181] Batch [3649]/[3760] Speed: 164.568331 samples/sec accuracy=64.237586 loss=1.515827 lr=0.001831 Epoch[181] Batch [3699]/[3760] Speed: 164.271753 samples/sec accuracy=64.240287 loss=1.516225 lr=0.001827 Epoch[181] Batch [3749]/[3760] Speed: 173.582693 samples/sec accuracy=64.233333 loss=1.516383 lr=0.001824 Batch [0049]/[0303]: acc-top1=59.125000 acc-top5=79.812500 Batch [0099]/[0303]: acc-top1=56.593750 acc-top5=79.296875 Batch [0149]/[0303]: acc-top1=57.791667 acc-top5=80.104167 Batch [0199]/[0303]: acc-top1=60.156250 acc-top5=81.523438 Batch [0249]/[0303]: acc-top1=59.618750 acc-top5=81.081250 Batch [0299]/[0303]: acc-top1=59.197917 acc-top5=81.119792 [Epoch 181] training: accuracy=64.228723 loss=1.516469 [Epoch 181] speed: 163 samples/sec time cost: 1587.538863 [Epoch 181] validation: acc-top1=59.112005 acc-top5=81.121081 loss=1.882364 Epoch[182] Batch [0049]/[3760] Speed: 114.299543 samples/sec accuracy=66.687500 loss=1.429483 lr=0.001820 Epoch[182] Batch [0099]/[3760] Speed: 165.217365 samples/sec accuracy=65.656250 loss=1.444655 lr=0.001816 Epoch[182] Batch [0149]/[3760] Speed: 164.767236 samples/sec accuracy=65.489583 loss=1.463211 lr=0.001813 Epoch[182] Batch [0199]/[3760] 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accuracy=65.161058 loss=1.479414 lr=0.001779 Epoch[182] Batch [0699]/[3760] Speed: 162.523911 samples/sec accuracy=65.178571 loss=1.481081 lr=0.001775 Epoch[182] Batch [0749]/[3760] Speed: 166.371693 samples/sec accuracy=65.187500 loss=1.481328 lr=0.001772 Epoch[182] Batch [0799]/[3760] Speed: 162.238334 samples/sec accuracy=65.105469 loss=1.483342 lr=0.001768 Epoch[182] Batch [0849]/[3760] Speed: 164.318182 samples/sec accuracy=65.062500 loss=1.485539 lr=0.001765 Epoch[182] Batch [0899]/[3760] Speed: 165.018517 samples/sec accuracy=65.026042 loss=1.488672 lr=0.001762 Epoch[182] Batch [0949]/[3760] Speed: 163.113767 samples/sec accuracy=65.029605 loss=1.490207 lr=0.001758 Epoch[182] Batch [0999]/[3760] Speed: 164.570801 samples/sec accuracy=65.028125 loss=1.489441 lr=0.001755 Epoch[182] Batch [1049]/[3760] Speed: 163.861021 samples/sec accuracy=65.062500 loss=1.487233 lr=0.001751 Epoch[182] Batch [1099]/[3760] Speed: 162.772710 samples/sec accuracy=65.065341 loss=1.486735 lr=0.001748 Epoch[182] Batch [1149]/[3760] Speed: 164.742670 samples/sec accuracy=65.059783 loss=1.486627 lr=0.001745 Epoch[182] Batch [1199]/[3760] Speed: 163.694132 samples/sec accuracy=65.045573 loss=1.488104 lr=0.001741 Epoch[182] Batch [1249]/[3760] Speed: 163.091113 samples/sec accuracy=65.065000 loss=1.487655 lr=0.001738 Epoch[182] Batch [1299]/[3760] Speed: 163.314916 samples/sec accuracy=65.015625 loss=1.487719 lr=0.001735 Epoch[182] Batch [1349]/[3760] Speed: 163.608737 samples/sec accuracy=65.005787 loss=1.487533 lr=0.001731 Epoch[182] Batch [1399]/[3760] Speed: 164.116062 samples/sec accuracy=65.071429 loss=1.484957 lr=0.001728 Epoch[182] Batch [1449]/[3760] Speed: 163.740802 samples/sec accuracy=65.066810 loss=1.484120 lr=0.001724 Epoch[182] Batch [1499]/[3760] Speed: 165.054259 samples/sec accuracy=65.097917 loss=1.483005 lr=0.001721 Epoch[182] Batch [1549]/[3760] Speed: 164.315516 samples/sec accuracy=65.061492 loss=1.485670 lr=0.001718 Epoch[182] Batch [1599]/[3760] Speed: 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loss=1.484351 lr=0.001684 Epoch[182] Batch [2099]/[3760] Speed: 163.305766 samples/sec accuracy=65.111607 loss=1.484986 lr=0.001681 Epoch[182] Batch [2149]/[3760] Speed: 164.790998 samples/sec accuracy=65.090843 loss=1.484959 lr=0.001678 Epoch[182] Batch [2199]/[3760] Speed: 163.992243 samples/sec accuracy=65.104403 loss=1.483981 lr=0.001674 Epoch[182] Batch [2249]/[3760] Speed: 164.482072 samples/sec accuracy=65.092361 loss=1.483478 lr=0.001671 Epoch[182] Batch [2299]/[3760] Speed: 164.112262 samples/sec accuracy=65.095788 loss=1.483848 lr=0.001668 Epoch[182] Batch [2349]/[3760] Speed: 163.528537 samples/sec accuracy=65.055851 loss=1.484528 lr=0.001665 Epoch[182] Batch [2399]/[3760] Speed: 164.172519 samples/sec accuracy=65.041016 loss=1.484808 lr=0.001661 Epoch[182] Batch [2449]/[3760] Speed: 164.161098 samples/sec accuracy=65.021046 loss=1.486097 lr=0.001658 Epoch[182] Batch [2499]/[3760] Speed: 162.333776 samples/sec accuracy=65.018750 loss=1.486058 lr=0.001655 Epoch[182] Batch 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accuracy=64.986979 loss=1.485724 lr=0.001622 Epoch[182] Batch [3049]/[3760] Speed: 163.071357 samples/sec accuracy=64.970287 loss=1.486197 lr=0.001619 Epoch[182] Batch [3099]/[3760] Speed: 166.085339 samples/sec accuracy=64.972782 loss=1.486313 lr=0.001615 Epoch[182] Batch [3149]/[3760] Speed: 164.550796 samples/sec accuracy=64.983135 loss=1.485685 lr=0.001612 Epoch[182] Batch [3199]/[3760] Speed: 163.801393 samples/sec accuracy=64.995605 loss=1.485123 lr=0.001609 Epoch[182] Batch [3249]/[3760] Speed: 165.368537 samples/sec accuracy=65.001923 loss=1.484690 lr=0.001606 Epoch[182] Batch [3299]/[3760] Speed: 165.059640 samples/sec accuracy=64.996686 loss=1.484897 lr=0.001602 Epoch[182] Batch [3349]/[3760] Speed: 164.891799 samples/sec accuracy=65.013526 loss=1.484662 lr=0.001599 Epoch[182] Batch [3399]/[3760] Speed: 162.505902 samples/sec accuracy=65.036765 loss=1.483931 lr=0.001596 Epoch[182] Batch [3449]/[3760] Speed: 162.288934 samples/sec accuracy=65.059783 loss=1.483004 lr=0.001593 Epoch[182] Batch [3499]/[3760] Speed: 165.128228 samples/sec accuracy=65.057143 loss=1.482752 lr=0.001589 Epoch[182] Batch [3549]/[3760] Speed: 165.447574 samples/sec accuracy=65.044454 loss=1.483274 lr=0.001586 Epoch[182] Batch [3599]/[3760] Speed: 164.749560 samples/sec accuracy=65.050347 loss=1.482982 lr=0.001583 Epoch[182] Batch [3649]/[3760] Speed: 164.325758 samples/sec accuracy=65.063356 loss=1.482754 lr=0.001580 Epoch[182] Batch [3699]/[3760] Speed: 165.958220 samples/sec accuracy=65.039274 loss=1.483160 lr=0.001577 Epoch[182] Batch [3749]/[3760] Speed: 176.155039 samples/sec accuracy=65.025833 loss=1.483744 lr=0.001573 Batch [0049]/[0303]: acc-top1=59.437500 acc-top5=80.125000 Batch [0099]/[0303]: acc-top1=56.796875 acc-top5=79.343750 Batch [0149]/[0303]: acc-top1=58.343750 acc-top5=80.260417 Batch [0199]/[0303]: acc-top1=60.609375 acc-top5=81.796875 Batch [0249]/[0303]: acc-top1=60.093750 acc-top5=81.443750 Batch [0299]/[0303]: acc-top1=59.687500 acc-top5=81.354167 [Epoch 182] training: accuracy=65.024102 loss=1.483953 [Epoch 182] speed: 163 samples/sec time cost: 1587.732463 [Epoch 182] validation: acc-top1=59.607054 acc-top5=81.363449 loss=1.865893 Epoch[183] Batch [0049]/[3759] Speed: 113.982531 samples/sec accuracy=66.500000 loss=1.414238 lr=0.001570 Epoch[183] Batch [0099]/[3759] Speed: 164.512064 samples/sec accuracy=65.750000 loss=1.446146 lr=0.001566 Epoch[183] Batch [0149]/[3759] Speed: 164.956379 samples/sec accuracy=65.989583 loss=1.449004 lr=0.001563 Epoch[183] Batch [0199]/[3759] Speed: 162.699363 samples/sec accuracy=65.867188 loss=1.446332 lr=0.001560 Epoch[183] Batch [0249]/[3759] Speed: 163.843852 samples/sec accuracy=65.843750 loss=1.444333 lr=0.001557 Epoch[183] Batch [0299]/[3759] Speed: 163.251678 samples/sec accuracy=66.109375 loss=1.435582 lr=0.001554 Epoch[183] Batch [0349]/[3759] Speed: 164.087323 samples/sec accuracy=65.924107 loss=1.442695 lr=0.001550 Epoch[183] Batch [0399]/[3759] Speed: 163.474157 samples/sec accuracy=65.753906 loss=1.448141 lr=0.001547 Epoch[183] Batch [0449]/[3759] Speed: 164.723493 samples/sec accuracy=65.701389 loss=1.453609 lr=0.001544 Epoch[183] Batch [0499]/[3759] Speed: 163.915331 samples/sec accuracy=65.790625 loss=1.451312 lr=0.001541 Epoch[183] Batch [0549]/[3759] Speed: 165.540086 samples/sec accuracy=65.806818 loss=1.455109 lr=0.001538 Epoch[183] Batch [0599]/[3759] Speed: 165.608377 samples/sec accuracy=65.851562 loss=1.452565 lr=0.001534 Epoch[183] Batch [0649]/[3759] Speed: 162.608737 samples/sec accuracy=65.855769 loss=1.453154 lr=0.001531 Epoch[183] Batch [0699]/[3759] Speed: 165.495007 samples/sec accuracy=65.877232 loss=1.452053 lr=0.001528 Epoch[183] Batch [0749]/[3759] Speed: 162.684460 samples/sec accuracy=65.854167 loss=1.454119 lr=0.001525 Epoch[183] Batch [0799]/[3759] Speed: 164.452922 samples/sec accuracy=65.843750 loss=1.452726 lr=0.001522 Epoch[183] Batch [0849]/[3759] Speed: 162.528186 samples/sec accuracy=65.795956 loss=1.453126 lr=0.001519 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loss=1.463365 lr=0.001459 Epoch[183] Batch [1849]/[3759] Speed: 163.242658 samples/sec accuracy=65.603041 loss=1.463558 lr=0.001456 Epoch[183] Batch [1899]/[3759] Speed: 166.643269 samples/sec accuracy=65.594572 loss=1.464489 lr=0.001453 Epoch[183] Batch [1949]/[3759] Speed: 165.344363 samples/sec accuracy=65.595353 loss=1.464012 lr=0.001450 Epoch[183] Batch [1999]/[3759] Speed: 163.617570 samples/sec accuracy=65.584375 loss=1.464075 lr=0.001447 Epoch[183] Batch [2049]/[3759] Speed: 165.474083 samples/sec accuracy=65.597561 loss=1.463617 lr=0.001444 Epoch[183] Batch [2099]/[3759] Speed: 162.784770 samples/sec accuracy=65.615327 loss=1.462988 lr=0.001441 Epoch[183] Batch [2149]/[3759] Speed: 164.935707 samples/sec accuracy=65.619913 loss=1.463012 lr=0.001438 Epoch[183] Batch [2199]/[3759] Speed: 163.949663 samples/sec accuracy=65.603693 loss=1.463086 lr=0.001435 Epoch[183] Batch [2249]/[3759] Speed: 163.650948 samples/sec accuracy=65.626389 loss=1.462323 lr=0.001432 Epoch[183] Batch 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accuracy=65.547727 loss=1.463518 lr=0.001401 Epoch[183] Batch [2799]/[3759] Speed: 163.300272 samples/sec accuracy=65.566406 loss=1.463607 lr=0.001398 Epoch[183] Batch [2849]/[3759] Speed: 164.365973 samples/sec accuracy=65.552632 loss=1.464217 lr=0.001395 Epoch[183] Batch [2899]/[3759] Speed: 163.617708 samples/sec accuracy=65.538793 loss=1.464556 lr=0.001392 Epoch[183] Batch [2949]/[3759] Speed: 160.802823 samples/sec accuracy=65.528072 loss=1.464833 lr=0.001389 Epoch[183] Batch [2999]/[3759] Speed: 164.869582 samples/sec accuracy=65.502604 loss=1.465985 lr=0.001386 Epoch[183] Batch [3049]/[3759] Speed: 159.647410 samples/sec accuracy=65.503074 loss=1.465726 lr=0.001383 Epoch[183] Batch [3099]/[3759] Speed: 163.484161 samples/sec accuracy=65.498992 loss=1.465828 lr=0.001380 Epoch[183] Batch [3149]/[3759] Speed: 163.605305 samples/sec accuracy=65.502976 loss=1.465260 lr=0.001377 Epoch[183] Batch [3199]/[3759] Speed: 164.460662 samples/sec accuracy=65.503418 loss=1.465045 lr=0.001374 Epoch[183] Batch [3249]/[3759] Speed: 164.961912 samples/sec accuracy=65.501442 loss=1.464796 lr=0.001371 Epoch[183] Batch [3299]/[3759] Speed: 163.981254 samples/sec accuracy=65.499053 loss=1.465120 lr=0.001368 Epoch[183] Batch [3349]/[3759] Speed: 163.568000 samples/sec accuracy=65.486007 loss=1.465415 lr=0.001365 Epoch[183] Batch [3399]/[3759] Speed: 164.468006 samples/sec accuracy=65.488511 loss=1.465427 lr=0.001362 Epoch[183] Batch [3449]/[3759] Speed: 164.183953 samples/sec accuracy=65.488225 loss=1.465342 lr=0.001359 Epoch[183] Batch [3499]/[3759] Speed: 163.742436 samples/sec accuracy=65.472768 loss=1.465766 lr=0.001356 Epoch[183] Batch [3549]/[3759] Speed: 164.593867 samples/sec accuracy=65.470070 loss=1.465513 lr=0.001353 Epoch[183] Batch [3599]/[3759] Speed: 162.936330 samples/sec accuracy=65.472656 loss=1.465553 lr=0.001350 Epoch[183] Batch [3649]/[3759] Speed: 166.054990 samples/sec accuracy=65.484161 loss=1.465209 lr=0.001347 Epoch[183] Batch [3699]/[3759] Speed: 163.535272 samples/sec accuracy=65.486486 loss=1.464920 lr=0.001344 Epoch[183] Batch [3749]/[3759] Speed: 177.391784 samples/sec accuracy=65.454583 loss=1.465897 lr=0.001341 Batch [0049]/[0303]: acc-top1=59.406250 acc-top5=79.968750 Batch [0099]/[0303]: acc-top1=57.031250 acc-top5=79.703125 Batch [0149]/[0303]: acc-top1=58.229167 acc-top5=80.468750 Batch [0199]/[0303]: acc-top1=60.710937 acc-top5=81.906250 Batch [0249]/[0303]: acc-top1=60.150000 acc-top5=81.556250 Batch [0299]/[0303]: acc-top1=59.718750 acc-top5=81.479167 [Epoch 183] training: accuracy=65.457901 loss=1.465715 [Epoch 183] speed: 163 samples/sec time cost: 1587.438251 [Epoch 183] validation: acc-top1=59.668936 acc-top5=81.492368 loss=1.854936 Epoch[184] Batch [0049]/[3760] Speed: 114.617382 samples/sec accuracy=65.156250 loss=1.473959 lr=0.001338 Epoch[184] Batch [0099]/[3760] Speed: 162.564793 samples/sec accuracy=66.515625 loss=1.422868 lr=0.001335 Epoch[184] Batch [0149]/[3760] Speed: 165.923622 samples/sec accuracy=66.500000 loss=1.424663 lr=0.001332 Epoch[184] Batch [0199]/[3760] Speed: 164.243127 samples/sec accuracy=66.109375 loss=1.440378 lr=0.001329 Epoch[184] Batch [0249]/[3760] Speed: 162.468921 samples/sec accuracy=66.175000 loss=1.434410 lr=0.001326 Epoch[184] Batch [0299]/[3760] Speed: 164.554825 samples/sec accuracy=66.067708 loss=1.433589 lr=0.001323 Epoch[184] Batch [0349]/[3760] Speed: 164.840015 samples/sec accuracy=66.080357 loss=1.433473 lr=0.001320 Epoch[184] Batch [0399]/[3760] Speed: 163.039916 samples/sec accuracy=66.230469 loss=1.430078 lr=0.001317 Epoch[184] Batch [0449]/[3760] Speed: 163.961011 samples/sec accuracy=66.399306 loss=1.422879 lr=0.001314 Epoch[184] Batch [0499]/[3760] Speed: 164.302472 samples/sec accuracy=66.390625 loss=1.424842 lr=0.001311 Epoch[184] Batch [0549]/[3760] Speed: 164.774931 samples/sec accuracy=66.295455 loss=1.429768 lr=0.001308 Epoch[184] Batch [0599]/[3760] Speed: 164.498625 samples/sec accuracy=66.453125 loss=1.424585 lr=0.001305 Epoch[184] Batch [0649]/[3760] Speed: 164.216909 samples/sec accuracy=66.379808 loss=1.428394 lr=0.001302 Epoch[184] Batch [0699]/[3760] Speed: 164.582427 samples/sec accuracy=66.435268 loss=1.424247 lr=0.001299 Epoch[184] Batch [0749]/[3760] Speed: 164.119113 samples/sec accuracy=66.393750 loss=1.427253 lr=0.001296 Epoch[184] Batch [0799]/[3760] Speed: 163.906499 samples/sec accuracy=66.302734 loss=1.431459 lr=0.001294 Epoch[184] Batch [0849]/[3760] Speed: 163.917987 samples/sec accuracy=66.375000 loss=1.429820 lr=0.001291 Epoch[184] Batch [0899]/[3760] Speed: 163.370175 samples/sec accuracy=66.296875 loss=1.432128 lr=0.001288 Epoch[184] Batch [0949]/[3760] Speed: 165.539857 samples/sec accuracy=66.273026 loss=1.432084 lr=0.001285 Epoch[184] Batch [0999]/[3760] Speed: 163.696919 samples/sec accuracy=66.279687 loss=1.433642 lr=0.001282 Epoch[184] Batch [1049]/[3760] Speed: 164.914489 samples/sec accuracy=66.404762 loss=1.429754 lr=0.001279 Epoch[184] Batch [1099]/[3760] Speed: 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loss=1.432240 lr=0.001250 Epoch[184] Batch [1599]/[3760] Speed: 164.818248 samples/sec accuracy=66.290039 loss=1.433412 lr=0.001247 Epoch[184] Batch [1649]/[3760] Speed: 162.954035 samples/sec accuracy=66.273674 loss=1.433975 lr=0.001244 Epoch[184] Batch [1699]/[3760] Speed: 165.409892 samples/sec accuracy=66.272978 loss=1.432798 lr=0.001242 Epoch[184] Batch [1749]/[3760] Speed: 164.028420 samples/sec accuracy=66.289286 loss=1.432652 lr=0.001239 Epoch[184] Batch [1799]/[3760] Speed: 164.581876 samples/sec accuracy=66.289062 loss=1.432084 lr=0.001236 Epoch[184] Batch [1849]/[3760] Speed: 164.473919 samples/sec accuracy=66.277027 loss=1.431335 lr=0.001233 Epoch[184] Batch [1899]/[3760] Speed: 164.863865 samples/sec accuracy=66.240954 loss=1.431216 lr=0.001230 Epoch[184] Batch [1949]/[3760] Speed: 163.321156 samples/sec accuracy=66.232372 loss=1.431404 lr=0.001227 Epoch[184] Batch [1999]/[3760] Speed: 164.250353 samples/sec accuracy=66.234375 loss=1.431196 lr=0.001225 Epoch[184] Batch 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accuracy=66.202500 loss=1.430931 lr=0.001196 Epoch[184] Batch [2549]/[3760] Speed: 164.828178 samples/sec accuracy=66.185049 loss=1.431772 lr=0.001193 Epoch[184] Batch [2599]/[3760] Speed: 163.911219 samples/sec accuracy=66.174880 loss=1.431903 lr=0.001191 Epoch[184] Batch [2649]/[3760] Speed: 162.965095 samples/sec accuracy=66.184552 loss=1.432379 lr=0.001188 Epoch[184] Batch [2699]/[3760] Speed: 164.241395 samples/sec accuracy=66.197338 loss=1.432131 lr=0.001185 Epoch[184] Batch [2749]/[3760] Speed: 163.883241 samples/sec accuracy=66.175000 loss=1.432678 lr=0.001182 Epoch[184] Batch [2799]/[3760] Speed: 162.670382 samples/sec accuracy=66.158482 loss=1.433180 lr=0.001180 Epoch[184] Batch [2849]/[3760] Speed: 163.282366 samples/sec accuracy=66.154605 loss=1.433541 lr=0.001177 Epoch[184] Batch [2899]/[3760] Speed: 163.516564 samples/sec accuracy=66.154634 loss=1.433312 lr=0.001174 Epoch[184] Batch [2949]/[3760] Speed: 163.945528 samples/sec accuracy=66.155720 loss=1.434034 lr=0.001171 Epoch[184] Batch [2999]/[3760] Speed: 163.510990 samples/sec accuracy=66.169271 loss=1.433438 lr=0.001168 Epoch[184] Batch [3049]/[3760] Speed: 164.172931 samples/sec accuracy=66.179816 loss=1.432844 lr=0.001166 Epoch[184] Batch [3099]/[3760] Speed: 162.798126 samples/sec accuracy=66.193548 loss=1.432469 lr=0.001163 Epoch[184] Batch [3149]/[3760] Speed: 163.435191 samples/sec accuracy=66.188988 loss=1.433281 lr=0.001160 Epoch[184] Batch [3199]/[3760] Speed: 164.620939 samples/sec accuracy=66.174805 loss=1.433914 lr=0.001157 Epoch[184] Batch [3249]/[3760] Speed: 163.584617 samples/sec accuracy=66.176442 loss=1.434087 lr=0.001155 Epoch[184] Batch [3299]/[3760] Speed: 164.146946 samples/sec accuracy=66.154356 loss=1.434669 lr=0.001152 Epoch[184] Batch [3349]/[3760] Speed: 163.060421 samples/sec accuracy=66.166045 loss=1.434647 lr=0.001149 Epoch[184] Batch [3399]/[3760] Speed: 164.350421 samples/sec accuracy=66.172794 loss=1.434215 lr=0.001146 Epoch[184] Batch [3449]/[3760] Speed: 166.286793 samples/sec accuracy=66.168478 loss=1.434292 lr=0.001144 Epoch[184] Batch [3499]/[3760] Speed: 162.062408 samples/sec accuracy=66.172768 loss=1.434204 lr=0.001141 Epoch[184] Batch [3549]/[3760] Speed: 164.791783 samples/sec accuracy=66.172095 loss=1.433792 lr=0.001138 Epoch[184] Batch [3599]/[3760] Speed: 162.783197 samples/sec accuracy=66.188368 loss=1.433661 lr=0.001135 Epoch[184] Batch [3649]/[3760] Speed: 162.818096 samples/sec accuracy=66.193065 loss=1.433613 lr=0.001133 Epoch[184] Batch [3699]/[3760] Speed: 165.656114 samples/sec accuracy=66.205236 loss=1.433533 lr=0.001130 Epoch[184] Batch [3749]/[3760] Speed: 175.462190 samples/sec accuracy=66.212917 loss=1.432903 lr=0.001127 Batch [0049]/[0303]: acc-top1=59.812500 acc-top5=80.656250 Batch [0099]/[0303]: acc-top1=57.265625 acc-top5=79.593750 Batch [0149]/[0303]: acc-top1=58.468750 acc-top5=80.375000 Batch [0199]/[0303]: acc-top1=60.734375 acc-top5=81.898438 Batch [0249]/[0303]: acc-top1=60.106250 acc-top5=81.468750 Batch [0299]/[0303]: acc-top1=59.734375 acc-top5=81.505208 [Epoch 184] training: accuracy=66.212184 loss=1.432951 [Epoch 184] speed: 163 samples/sec time cost: 1588.423414 [Epoch 184] validation: acc-top1=59.684406 acc-top5=81.497525 loss=1.859113 Epoch[185] Batch [0049]/[3760] Speed: 115.671396 samples/sec accuracy=67.281250 loss=1.370238 lr=0.001124 Epoch[185] Batch [0099]/[3760] Speed: 165.007707 samples/sec accuracy=67.203125 loss=1.396969 lr=0.001121 Epoch[185] Batch [0149]/[3760] Speed: 164.284877 samples/sec accuracy=66.677083 loss=1.417155 lr=0.001119 Epoch[185] Batch [0199]/[3760] Speed: 165.472645 samples/sec accuracy=66.835938 loss=1.403715 lr=0.001116 Epoch[185] Batch [0249]/[3760] Speed: 163.531090 samples/sec accuracy=66.912500 loss=1.401880 lr=0.001113 Epoch[185] Batch [0299]/[3760] Speed: 163.546098 samples/sec accuracy=67.135417 loss=1.394769 lr=0.001110 Epoch[185] Batch [0349]/[3760] Speed: 163.835304 samples/sec accuracy=67.120536 loss=1.390168 lr=0.001108 Epoch[185] 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accuracy=66.606250 loss=1.409163 lr=0.001007 Epoch[185] Batch [2299]/[3760] Speed: 164.337637 samples/sec accuracy=66.600543 loss=1.409431 lr=0.001005 Epoch[185] Batch [2349]/[3760] Speed: 163.698037 samples/sec accuracy=66.614362 loss=1.408892 lr=0.001002 Epoch[185] Batch [2399]/[3760] Speed: 165.474956 samples/sec accuracy=66.645182 loss=1.408141 lr=0.001000 Epoch[185] Batch [2449]/[3760] Speed: 164.090641 samples/sec accuracy=66.646684 loss=1.408498 lr=0.000997 Epoch[185] Batch [2499]/[3760] Speed: 165.359336 samples/sec accuracy=66.677500 loss=1.407741 lr=0.000995 Epoch[185] Batch [2549]/[3760] Speed: 164.125501 samples/sec accuracy=66.669730 loss=1.407735 lr=0.000992 Epoch[185] Batch [2599]/[3760] Speed: 161.365073 samples/sec accuracy=66.648438 loss=1.409092 lr=0.000989 Epoch[185] Batch [2649]/[3760] Speed: 164.001760 samples/sec accuracy=66.629127 loss=1.409748 lr=0.000987 Epoch[185] Batch [2699]/[3760] Speed: 163.564119 samples/sec accuracy=66.616898 loss=1.409841 lr=0.000984 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loss=1.408339 lr=0.000937 Epoch[185] Batch [3699]/[3760] Speed: 164.909099 samples/sec accuracy=66.679054 loss=1.408163 lr=0.000934 Epoch[185] Batch [3749]/[3760] Speed: 176.389019 samples/sec accuracy=66.686667 loss=1.407837 lr=0.000932 Batch [0049]/[0303]: acc-top1=59.812500 acc-top5=80.437500 Batch [0099]/[0303]: acc-top1=57.421875 acc-top5=80.031250 Batch [0149]/[0303]: acc-top1=58.697917 acc-top5=80.760417 Batch [0199]/[0303]: acc-top1=61.226562 acc-top5=82.218750 Batch [0249]/[0303]: acc-top1=60.681250 acc-top5=81.993750 Batch [0299]/[0303]: acc-top1=60.359375 acc-top5=81.859375 [Epoch 185] training: accuracy=66.683428 loss=1.407996 [Epoch 185] speed: 163 samples/sec time cost: 1588.459735 [Epoch 185] validation: acc-top1=60.292904 acc-top5=81.858498 loss=1.833091 Epoch[186] Batch [0049]/[3759] Speed: 114.019411 samples/sec accuracy=63.750000 loss=1.462375 lr=0.000929 Epoch[186] Batch [0099]/[3759] Speed: 161.646752 samples/sec accuracy=65.203125 loss=1.448248 lr=0.000926 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loss=1.385387 lr=0.000880 Epoch[186] Batch [1099]/[3759] Speed: 165.708904 samples/sec accuracy=67.357955 loss=1.384956 lr=0.000877 Epoch[186] Batch [1149]/[3759] Speed: 161.268796 samples/sec accuracy=67.354620 loss=1.385464 lr=0.000875 Epoch[186] Batch [1199]/[3759] Speed: 165.136556 samples/sec accuracy=67.328125 loss=1.387262 lr=0.000873 Epoch[186] Batch [1249]/[3759] Speed: 163.788910 samples/sec accuracy=67.302500 loss=1.387738 lr=0.000870 Epoch[186] Batch [1299]/[3759] Speed: 164.801101 samples/sec accuracy=67.307692 loss=1.387554 lr=0.000868 Epoch[186] Batch [1349]/[3759] Speed: 163.705047 samples/sec accuracy=67.293981 loss=1.387451 lr=0.000865 Epoch[186] Batch [1399]/[3759] Speed: 164.830974 samples/sec accuracy=67.279018 loss=1.388058 lr=0.000863 Epoch[186] Batch [1449]/[3759] Speed: 165.661158 samples/sec accuracy=67.322198 loss=1.385473 lr=0.000861 Epoch[186] Batch [1499]/[3759] Speed: 164.180932 samples/sec accuracy=67.290625 loss=1.385844 lr=0.000858 Epoch[186] Batch 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accuracy=67.173438 loss=1.386956 lr=0.000835 Epoch[186] Batch [2049]/[3759] Speed: 164.738719 samples/sec accuracy=67.165396 loss=1.387264 lr=0.000832 Epoch[186] Batch [2099]/[3759] Speed: 163.203963 samples/sec accuracy=67.177083 loss=1.386326 lr=0.000830 Epoch[186] Batch [2149]/[3759] Speed: 165.049986 samples/sec accuracy=67.192587 loss=1.385676 lr=0.000828 Epoch[186] Batch [2199]/[3759] Speed: 164.611306 samples/sec accuracy=67.196023 loss=1.385440 lr=0.000825 Epoch[186] Batch [2249]/[3759] Speed: 164.985856 samples/sec accuracy=67.179167 loss=1.386712 lr=0.000823 Epoch[186] Batch [2299]/[3759] Speed: 164.300068 samples/sec accuracy=67.206522 loss=1.385721 lr=0.000821 Epoch[186] Batch [2349]/[3759] Speed: 166.471376 samples/sec accuracy=67.208112 loss=1.385969 lr=0.000818 Epoch[186] Batch [2399]/[3759] Speed: 165.356233 samples/sec accuracy=67.241536 loss=1.384312 lr=0.000816 Epoch[186] Batch [2449]/[3759] Speed: 164.689164 samples/sec accuracy=67.252551 loss=1.384402 lr=0.000814 Epoch[186] Batch [2499]/[3759] Speed: 162.392113 samples/sec accuracy=67.256250 loss=1.384242 lr=0.000811 Epoch[186] Batch [2549]/[3759] Speed: 163.372478 samples/sec accuracy=67.241422 loss=1.385074 lr=0.000809 Epoch[186] Batch [2599]/[3759] Speed: 164.218229 samples/sec accuracy=67.237380 loss=1.384995 lr=0.000807 Epoch[186] Batch [2649]/[3759] Speed: 163.430832 samples/sec accuracy=67.254127 loss=1.384473 lr=0.000804 Epoch[186] Batch [2699]/[3759] Speed: 165.331904 samples/sec accuracy=67.241898 loss=1.385228 lr=0.000802 Epoch[186] Batch [2749]/[3759] Speed: 164.268647 samples/sec accuracy=67.232386 loss=1.385805 lr=0.000800 Epoch[186] Batch [2799]/[3759] Speed: 163.776700 samples/sec accuracy=67.242746 loss=1.385741 lr=0.000798 Epoch[186] Batch [2849]/[3759] Speed: 164.969185 samples/sec accuracy=67.225877 loss=1.385754 lr=0.000795 Epoch[186] Batch [2899]/[3759] Speed: 165.130843 samples/sec accuracy=67.244073 loss=1.385385 lr=0.000793 Epoch[186] Batch [2949]/[3759] Speed: 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loss=1.385601 lr=0.000770 Epoch[186] Batch [3449]/[3759] Speed: 163.317172 samples/sec accuracy=67.301178 loss=1.384867 lr=0.000768 Epoch[186] Batch [3499]/[3759] Speed: 164.965548 samples/sec accuracy=67.310268 loss=1.384355 lr=0.000766 Epoch[186] Batch [3549]/[3759] Speed: 162.096875 samples/sec accuracy=67.326585 loss=1.383742 lr=0.000763 Epoch[186] Batch [3599]/[3759] Speed: 164.835097 samples/sec accuracy=67.331163 loss=1.383148 lr=0.000761 Epoch[186] Batch [3649]/[3759] Speed: 164.676131 samples/sec accuracy=67.311216 loss=1.383580 lr=0.000759 Epoch[186] Batch [3699]/[3759] Speed: 165.724425 samples/sec accuracy=67.274071 loss=1.385082 lr=0.000757 Epoch[186] Batch [3749]/[3759] Speed: 175.884434 samples/sec accuracy=67.274167 loss=1.384912 lr=0.000755 Batch [0049]/[0303]: acc-top1=60.218750 acc-top5=80.500000 Batch [0099]/[0303]: acc-top1=57.671875 acc-top5=79.890625 Batch [0149]/[0303]: acc-top1=58.708333 acc-top5=80.520833 Batch [0199]/[0303]: acc-top1=61.234375 acc-top5=82.023438 Batch [0249]/[0303]: acc-top1=60.681250 acc-top5=81.731250 Batch [0299]/[0303]: acc-top1=60.307292 acc-top5=81.770833 [Epoch 186] training: accuracy=67.268971 loss=1.385074 [Epoch 186] speed: 163 samples/sec time cost: 1586.707224 [Epoch 186] validation: acc-top1=60.256807 acc-top5=81.786304 loss=1.817734 Epoch[187] Batch [0049]/[3760] Speed: 114.739217 samples/sec accuracy=68.093750 loss=1.338427 lr=0.000752 Epoch[187] Batch [0099]/[3760] Speed: 162.586620 samples/sec accuracy=68.390625 loss=1.341528 lr=0.000750 Epoch[187] Batch [0149]/[3760] Speed: 165.288425 samples/sec accuracy=68.343750 loss=1.351573 lr=0.000747 Epoch[187] Batch [0199]/[3760] Speed: 163.185170 samples/sec accuracy=68.265625 loss=1.352105 lr=0.000745 Epoch[187] Batch [0249]/[3760] Speed: 163.418985 samples/sec accuracy=67.893750 loss=1.363979 lr=0.000743 Epoch[187] Batch [0299]/[3760] Speed: 165.466904 samples/sec accuracy=68.161458 loss=1.361748 lr=0.000741 Epoch[187] Batch [0349]/[3760] Speed: 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accuracy=67.819643 loss=1.361084 lr=0.000678 Epoch[187] Batch [1799]/[3760] Speed: 164.189343 samples/sec accuracy=67.850694 loss=1.360963 lr=0.000676 Epoch[187] Batch [1849]/[3760] Speed: 164.246997 samples/sec accuracy=67.833615 loss=1.362916 lr=0.000674 Epoch[187] Batch [1899]/[3760] Speed: 164.083660 samples/sec accuracy=67.806743 loss=1.362375 lr=0.000672 Epoch[187] Batch [1949]/[3760] Speed: 163.249508 samples/sec accuracy=67.811699 loss=1.361753 lr=0.000670 Epoch[187] Batch [1999]/[3760] Speed: 164.022657 samples/sec accuracy=67.782813 loss=1.362094 lr=0.000667 Epoch[187] Batch [2049]/[3760] Speed: 164.997896 samples/sec accuracy=67.782012 loss=1.361833 lr=0.000665 Epoch[187] Batch [2099]/[3760] Speed: 164.691078 samples/sec accuracy=67.790923 loss=1.361595 lr=0.000663 Epoch[187] Batch [2149]/[3760] Speed: 163.328858 samples/sec accuracy=67.798692 loss=1.361608 lr=0.000661 Epoch[187] Batch [2199]/[3760] Speed: 162.451510 samples/sec accuracy=67.792614 loss=1.362100 lr=0.000659 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loss=1.362482 lr=0.000620 Epoch[187] Batch [3199]/[3760] Speed: 164.446934 samples/sec accuracy=67.821777 loss=1.361732 lr=0.000618 Epoch[187] Batch [3249]/[3760] Speed: 163.569308 samples/sec accuracy=67.815385 loss=1.362264 lr=0.000616 Epoch[187] Batch [3299]/[3760] Speed: 165.226873 samples/sec accuracy=67.819129 loss=1.361773 lr=0.000614 Epoch[187] Batch [3349]/[3760] Speed: 163.696238 samples/sec accuracy=67.807369 loss=1.362131 lr=0.000612 Epoch[187] Batch [3399]/[3760] Speed: 163.805837 samples/sec accuracy=67.798713 loss=1.362489 lr=0.000610 Epoch[187] Batch [3449]/[3760] Speed: 164.479216 samples/sec accuracy=67.792120 loss=1.363128 lr=0.000608 Epoch[187] Batch [3499]/[3760] Speed: 164.302208 samples/sec accuracy=67.766071 loss=1.363989 lr=0.000606 Epoch[187] Batch [3549]/[3760] Speed: 163.241461 samples/sec accuracy=67.760123 loss=1.364350 lr=0.000604 Epoch[187] Batch [3599]/[3760] Speed: 164.982116 samples/sec accuracy=67.759983 loss=1.363768 lr=0.000602 Epoch[187] Batch [3649]/[3760] Speed: 162.903581 samples/sec accuracy=67.759418 loss=1.363596 lr=0.000600 Epoch[187] Batch [3699]/[3760] Speed: 164.583158 samples/sec accuracy=67.765203 loss=1.363247 lr=0.000598 Epoch[187] Batch [3749]/[3760] Speed: 176.958652 samples/sec accuracy=67.754167 loss=1.363670 lr=0.000596 Batch [0049]/[0303]: acc-top1=60.468750 acc-top5=80.468750 Batch [0099]/[0303]: acc-top1=57.765625 acc-top5=80.062500 Batch [0149]/[0303]: acc-top1=58.916667 acc-top5=80.750000 Batch [0199]/[0303]: acc-top1=61.429688 acc-top5=82.171875 Batch [0249]/[0303]: acc-top1=60.693750 acc-top5=81.818750 Batch [0299]/[0303]: acc-top1=60.265625 acc-top5=81.729167 [Epoch 187] training: accuracy=67.757231 loss=1.363353 [Epoch 187] speed: 163 samples/sec time cost: 1588.266735 [Epoch 187] validation: acc-top1=60.220710 acc-top5=81.739893 loss=1.823627 Epoch[188] Batch [0049]/[3760] Speed: 117.024893 samples/sec accuracy=68.375000 loss=1.320314 lr=0.000594 Epoch[188] Batch [0099]/[3760] Speed: 162.256745 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lr=0.000574 Epoch[188] Batch [0599]/[3760] Speed: 163.379172 samples/sec accuracy=67.919271 loss=1.348186 lr=0.000572 Epoch[188] Batch [0649]/[3760] Speed: 165.926836 samples/sec accuracy=67.913462 loss=1.349655 lr=0.000570 Epoch[188] Batch [0699]/[3760] Speed: 164.155635 samples/sec accuracy=67.939732 loss=1.348037 lr=0.000568 Epoch[188] Batch [0749]/[3760] Speed: 164.029449 samples/sec accuracy=67.962500 loss=1.347144 lr=0.000566 Epoch[188] Batch [0799]/[3760] Speed: 163.136759 samples/sec accuracy=68.054688 loss=1.342596 lr=0.000564 Epoch[188] Batch [0849]/[3760] Speed: 164.358461 samples/sec accuracy=68.073529 loss=1.342427 lr=0.000562 Epoch[188] Batch [0899]/[3760] Speed: 165.645074 samples/sec accuracy=68.060764 loss=1.341392 lr=0.000560 Epoch[188] Batch [0949]/[3760] Speed: 164.697264 samples/sec accuracy=68.008224 loss=1.343789 lr=0.000558 Epoch[188] Batch [0999]/[3760] Speed: 162.795201 samples/sec accuracy=68.043750 loss=1.344635 lr=0.000557 Epoch[188] Batch [1049]/[3760] Speed: 164.934791 samples/sec accuracy=68.074405 loss=1.343205 lr=0.000555 Epoch[188] Batch [1099]/[3760] Speed: 162.887810 samples/sec accuracy=68.129261 loss=1.339348 lr=0.000553 Epoch[188] Batch [1149]/[3760] Speed: 163.077543 samples/sec accuracy=68.137228 loss=1.339769 lr=0.000551 Epoch[188] Batch [1199]/[3760] Speed: 163.621807 samples/sec accuracy=68.156250 loss=1.338036 lr=0.000549 Epoch[188] Batch [1249]/[3760] Speed: 161.635545 samples/sec accuracy=68.146250 loss=1.337692 lr=0.000547 Epoch[188] Batch [1299]/[3760] Speed: 163.906301 samples/sec accuracy=68.127404 loss=1.337299 lr=0.000545 Epoch[188] Batch [1349]/[3760] Speed: 163.512960 samples/sec accuracy=68.146991 loss=1.337155 lr=0.000543 Epoch[188] Batch [1399]/[3760] Speed: 164.558929 samples/sec accuracy=68.151786 loss=1.337395 lr=0.000541 Epoch[188] Batch [1449]/[3760] Speed: 164.066204 samples/sec accuracy=68.134698 loss=1.337837 lr=0.000539 Epoch[188] Batch [1499]/[3760] Speed: 163.453070 samples/sec accuracy=68.062500 loss=1.339544 lr=0.000538 Epoch[188] Batch [1549]/[3760] Speed: 164.456741 samples/sec accuracy=68.112903 loss=1.338160 lr=0.000536 Epoch[188] Batch [1599]/[3760] Speed: 162.198814 samples/sec accuracy=68.139648 loss=1.337395 lr=0.000534 Epoch[188] Batch [1649]/[3760] Speed: 163.533210 samples/sec accuracy=68.119318 loss=1.337600 lr=0.000532 Epoch[188] Batch [1699]/[3760] Speed: 163.598102 samples/sec accuracy=68.120404 loss=1.337721 lr=0.000530 Epoch[188] Batch [1749]/[3760] Speed: 163.402239 samples/sec accuracy=68.124107 loss=1.337689 lr=0.000528 Epoch[188] Batch [1799]/[3760] Speed: 164.079989 samples/sec accuracy=68.140625 loss=1.337779 lr=0.000526 Epoch[188] Batch [1849]/[3760] Speed: 165.436435 samples/sec accuracy=68.148649 loss=1.337663 lr=0.000524 Epoch[188] Batch [1899]/[3760] Speed: 164.973003 samples/sec accuracy=68.136513 loss=1.338287 lr=0.000523 Epoch[188] Batch [1949]/[3760] Speed: 162.313037 samples/sec accuracy=68.137019 loss=1.338811 lr=0.000521 Epoch[188] Batch [1999]/[3760] Speed: 163.429786 samples/sec accuracy=68.167187 loss=1.338364 lr=0.000519 Epoch[188] Batch [2049]/[3760] Speed: 162.037577 samples/sec accuracy=68.149390 loss=1.338306 lr=0.000517 Epoch[188] Batch [2099]/[3760] Speed: 164.998884 samples/sec accuracy=68.183036 loss=1.337308 lr=0.000515 Epoch[188] Batch [2149]/[3760] Speed: 163.812691 samples/sec accuracy=68.171512 loss=1.337382 lr=0.000513 Epoch[188] Batch [2199]/[3760] Speed: 164.481679 samples/sec accuracy=68.159801 loss=1.337292 lr=0.000511 Epoch[188] Batch [2249]/[3760] Speed: 164.952436 samples/sec accuracy=68.145833 loss=1.337429 lr=0.000510 Epoch[188] Batch [2299]/[3760] Speed: 162.455574 samples/sec accuracy=68.144022 loss=1.338491 lr=0.000508 Epoch[188] Batch [2349]/[3760] Speed: 162.045553 samples/sec accuracy=68.163564 loss=1.337518 lr=0.000506 Epoch[188] Batch [2399]/[3760] Speed: 163.870078 samples/sec accuracy=68.145182 loss=1.337930 lr=0.000504 Epoch[188] Batch [2449]/[3760] Speed: 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loss=1.341607 lr=0.000486 Epoch[188] Batch [2949]/[3760] Speed: 163.173558 samples/sec accuracy=68.087924 loss=1.340971 lr=0.000484 Epoch[188] Batch [2999]/[3760] Speed: 165.126422 samples/sec accuracy=68.096354 loss=1.340782 lr=0.000482 Epoch[188] Batch [3049]/[3760] Speed: 164.508148 samples/sec accuracy=68.107582 loss=1.340337 lr=0.000481 Epoch[188] Batch [3099]/[3760] Speed: 162.599699 samples/sec accuracy=68.085181 loss=1.341892 lr=0.000479 Epoch[188] Batch [3149]/[3760] Speed: 163.406749 samples/sec accuracy=68.099206 loss=1.340526 lr=0.000477 Epoch[188] Batch [3199]/[3760] Speed: 163.414390 samples/sec accuracy=68.116211 loss=1.340042 lr=0.000475 Epoch[188] Batch [3249]/[3760] Speed: 163.073000 samples/sec accuracy=68.111058 loss=1.340593 lr=0.000474 Epoch[188] Batch [3299]/[3760] Speed: 165.804895 samples/sec accuracy=68.092803 loss=1.341135 lr=0.000472 Epoch[188] Batch [3349]/[3760] Speed: 164.266135 samples/sec accuracy=68.096549 loss=1.341724 lr=0.000470 Epoch[188] Batch [3399]/[3760] Speed: 164.376106 samples/sec accuracy=68.106618 loss=1.341921 lr=0.000468 Epoch[188] Batch [3449]/[3760] Speed: 162.625697 samples/sec accuracy=68.097826 loss=1.342394 lr=0.000466 Epoch[188] Batch [3499]/[3760] Speed: 163.244739 samples/sec accuracy=68.083482 loss=1.342800 lr=0.000465 Epoch[188] Batch [3549]/[3760] Speed: 166.958953 samples/sec accuracy=68.090669 loss=1.342656 lr=0.000463 Epoch[188] Batch [3599]/[3760] Speed: 165.592634 samples/sec accuracy=68.089410 loss=1.342496 lr=0.000461 Epoch[188] Batch [3649]/[3760] Speed: 162.586709 samples/sec accuracy=68.088185 loss=1.342318 lr=0.000459 Epoch[188] Batch [3699]/[3760] Speed: 164.530677 samples/sec accuracy=68.085726 loss=1.342856 lr=0.000458 Epoch[188] Batch [3749]/[3760] Speed: 176.610340 samples/sec accuracy=68.104167 loss=1.342340 lr=0.000456 Batch [0049]/[0303]: acc-top1=60.562500 acc-top5=80.656250 Batch [0099]/[0303]: acc-top1=57.828125 acc-top5=80.078125 Batch [0149]/[0303]: acc-top1=59.208333 acc-top5=80.833333 Batch [0199]/[0303]: acc-top1=61.796875 acc-top5=82.375000 Batch [0249]/[0303]: acc-top1=61.137500 acc-top5=82.093750 Batch [0299]/[0303]: acc-top1=60.682292 acc-top5=82.005208 [Epoch 188] training: accuracy=68.108793 loss=1.342060 [Epoch 188] speed: 163 samples/sec time cost: 1589.458868 [Epoch 188] validation: acc-top1=60.633251 acc-top5=82.008045 loss=1.808105 Epoch[189] Batch [0049]/[3759] Speed: 114.813374 samples/sec accuracy=67.937500 loss=1.347732 lr=0.000454 Epoch[189] Batch [0099]/[3759] Speed: 165.123702 samples/sec accuracy=68.453125 loss=1.327378 lr=0.000452 Epoch[189] Batch [0149]/[3759] Speed: 163.443928 samples/sec accuracy=68.583333 loss=1.320072 lr=0.000450 Epoch[189] Batch [0199]/[3759] Speed: 164.915818 samples/sec accuracy=68.796875 loss=1.318307 lr=0.000449 Epoch[189] Batch [0249]/[3759] Speed: 164.656753 samples/sec accuracy=68.481250 loss=1.329749 lr=0.000447 Epoch[189] Batch [0299]/[3759] Speed: 163.257983 samples/sec accuracy=68.546875 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accuracy=68.453125 loss=1.328759 lr=0.000339 Epoch[189] Batch [3649]/[3759] Speed: 162.644588 samples/sec accuracy=68.471318 loss=1.327841 lr=0.000338 Epoch[189] Batch [3699]/[3759] Speed: 163.420616 samples/sec accuracy=68.473818 loss=1.327715 lr=0.000336 Epoch[189] Batch [3749]/[3759] Speed: 176.294063 samples/sec accuracy=68.479583 loss=1.327652 lr=0.000335 Batch [0049]/[0303]: acc-top1=61.718750 acc-top5=80.593750 Batch [0099]/[0303]: acc-top1=58.640625 acc-top5=80.359375 Batch [0149]/[0303]: acc-top1=59.604167 acc-top5=81.052083 Batch [0199]/[0303]: acc-top1=62.031250 acc-top5=82.421875 Batch [0249]/[0303]: acc-top1=61.343750 acc-top5=82.175000 Batch [0299]/[0303]: acc-top1=60.859375 acc-top5=82.078125 [Epoch 189] training: accuracy=68.475658 loss=1.327947 [Epoch 189] speed: 163 samples/sec time cost: 1589.062895 [Epoch 189] validation: acc-top1=60.808581 acc-top5=82.069926 loss=1.807016 Epoch[190] Batch [0049]/[3760] Speed: 116.447787 samples/sec accuracy=69.562500 loss=1.305843 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accuracy=68.664062 loss=1.325396 lr=0.000305 Epoch[190] Batch [1049]/[3760] Speed: 164.028172 samples/sec accuracy=68.688988 loss=1.324455 lr=0.000304 Epoch[190] Batch [1099]/[3760] Speed: 163.320449 samples/sec accuracy=68.681818 loss=1.325107 lr=0.000302 Epoch[190] Batch [1149]/[3760] Speed: 164.965919 samples/sec accuracy=68.695652 loss=1.325540 lr=0.000301 Epoch[190] Batch [1199]/[3760] Speed: 163.329341 samples/sec accuracy=68.665365 loss=1.326549 lr=0.000300 Epoch[190] Batch [1249]/[3760] Speed: 163.562062 samples/sec accuracy=68.662500 loss=1.325888 lr=0.000298 Epoch[190] Batch [1299]/[3760] Speed: 162.902545 samples/sec accuracy=68.652644 loss=1.326263 lr=0.000297 Epoch[190] Batch [1349]/[3760] Speed: 163.044268 samples/sec accuracy=68.675926 loss=1.324389 lr=0.000295 Epoch[190] Batch [1399]/[3760] Speed: 162.971825 samples/sec accuracy=68.670759 loss=1.322664 lr=0.000294 Epoch[190] Batch [1449]/[3760] Speed: 164.331440 samples/sec accuracy=68.662716 loss=1.323232 lr=0.000293 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accuracy=68.861007 loss=1.312000 lr=0.000242 Epoch[190] Batch [3399]/[3760] Speed: 163.088915 samples/sec accuracy=68.870404 loss=1.311632 lr=0.000241 Epoch[190] Batch [3449]/[3760] Speed: 164.408931 samples/sec accuracy=68.875906 loss=1.311434 lr=0.000239 Epoch[190] Batch [3499]/[3760] Speed: 163.507359 samples/sec accuracy=68.861607 loss=1.311956 lr=0.000238 Epoch[190] Batch [3549]/[3760] Speed: 167.348778 samples/sec accuracy=68.880282 loss=1.311669 lr=0.000237 Epoch[190] Batch [3599]/[3760] Speed: 163.297023 samples/sec accuracy=68.884549 loss=1.311445 lr=0.000236 Epoch[190] Batch [3649]/[3760] Speed: 163.633319 samples/sec accuracy=68.881849 loss=1.311808 lr=0.000234 Epoch[190] Batch [3699]/[3760] Speed: 164.464213 samples/sec accuracy=68.869932 loss=1.312592 lr=0.000233 Epoch[190] Batch [3749]/[3760] Speed: 177.087477 samples/sec accuracy=68.874167 loss=1.312452 lr=0.000232 Batch [0049]/[0303]: acc-top1=60.937500 acc-top5=80.968750 Batch [0099]/[0303]: acc-top1=58.062500 acc-top5=80.718750 Batch [0149]/[0303]: acc-top1=59.343750 acc-top5=81.385417 Batch [0199]/[0303]: acc-top1=61.835938 acc-top5=82.703125 Batch [0249]/[0303]: acc-top1=61.125000 acc-top5=82.350000 Batch [0299]/[0303]: acc-top1=60.718750 acc-top5=82.317708 [Epoch 190] training: accuracy=68.874252 loss=1.312370 [Epoch 190] speed: 163 samples/sec time cost: 1588.435155 [Epoch 190] validation: acc-top1=60.664191 acc-top5=82.317450 loss=1.801494 Epoch[191] Batch [0049]/[3760] Speed: 116.317646 samples/sec accuracy=69.312500 loss=1.301357 lr=0.000230 Epoch[191] Batch [0099]/[3760] Speed: 163.338219 samples/sec accuracy=69.140625 loss=1.294375 lr=0.000229 Epoch[191] Batch [0149]/[3760] Speed: 165.084213 samples/sec accuracy=69.302083 loss=1.286109 lr=0.000228 Epoch[191] Batch [0199]/[3760] Speed: 164.011569 samples/sec accuracy=69.148438 loss=1.294788 lr=0.000227 Epoch[191] Batch [0249]/[3760] Speed: 165.021958 samples/sec accuracy=69.031250 loss=1.296109 lr=0.000226 Epoch[191] Batch 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accuracy=69.011089 loss=1.305703 lr=0.000161 Epoch[191] Batch [3149]/[3760] Speed: 162.720397 samples/sec accuracy=69.023810 loss=1.305643 lr=0.000160 Epoch[191] Batch [3199]/[3760] Speed: 163.919056 samples/sec accuracy=69.015625 loss=1.305761 lr=0.000159 Epoch[191] Batch [3249]/[3760] Speed: 165.357131 samples/sec accuracy=69.020192 loss=1.306072 lr=0.000158 Epoch[191] Batch [3299]/[3760] Speed: 163.712547 samples/sec accuracy=69.008523 loss=1.306493 lr=0.000157 Epoch[191] Batch [3349]/[3760] Speed: 163.585616 samples/sec accuracy=69.000000 loss=1.306661 lr=0.000156 Epoch[191] Batch [3399]/[3760] Speed: 163.920115 samples/sec accuracy=69.011949 loss=1.306519 lr=0.000155 Epoch[191] Batch [3449]/[3760] Speed: 165.089992 samples/sec accuracy=69.001359 loss=1.306599 lr=0.000154 Epoch[191] Batch [3499]/[3760] Speed: 162.348551 samples/sec accuracy=69.012500 loss=1.306262 lr=0.000153 Epoch[191] Batch [3549]/[3760] Speed: 163.104883 samples/sec accuracy=69.024648 loss=1.305683 lr=0.000152 Epoch[191] Batch [3599]/[3760] Speed: 162.792810 samples/sec accuracy=69.021267 loss=1.305672 lr=0.000151 Epoch[191] Batch [3649]/[3760] Speed: 163.939957 samples/sec accuracy=69.011986 loss=1.306075 lr=0.000150 Epoch[191] Batch [3699]/[3760] Speed: 165.988972 samples/sec accuracy=69.010557 loss=1.305938 lr=0.000149 Epoch[191] Batch [3749]/[3760] Speed: 176.326233 samples/sec accuracy=69.012917 loss=1.306081 lr=0.000148 Batch [0049]/[0303]: acc-top1=61.312500 acc-top5=80.812500 Batch [0099]/[0303]: acc-top1=58.484375 acc-top5=80.375000 Batch [0149]/[0303]: acc-top1=59.614583 acc-top5=81.197917 Batch [0199]/[0303]: acc-top1=62.125000 acc-top5=82.625000 Batch [0249]/[0303]: acc-top1=61.493750 acc-top5=82.350000 Batch [0299]/[0303]: acc-top1=61.015625 acc-top5=82.343750 [Epoch 191] training: accuracy=69.009309 loss=1.306071 [Epoch 191] speed: 163 samples/sec time cost: 1587.813978 [Epoch 191] validation: acc-top1=60.922030 acc-top5=82.332921 loss=1.793598 Epoch[192] Batch [0049]/[3759] 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accuracy=68.934375 loss=1.307901 lr=0.000138 Epoch[192] Batch [0549]/[3759] Speed: 164.788269 samples/sec accuracy=69.000000 loss=1.305336 lr=0.000137 Epoch[192] Batch [0599]/[3759] Speed: 163.718624 samples/sec accuracy=68.984375 loss=1.303854 lr=0.000136 Epoch[192] Batch [0649]/[3759] Speed: 163.232235 samples/sec accuracy=68.983173 loss=1.304732 lr=0.000135 Epoch[192] Batch [0699]/[3759] Speed: 164.810914 samples/sec accuracy=69.055804 loss=1.300977 lr=0.000134 Epoch[192] Batch [0749]/[3759] Speed: 165.758716 samples/sec accuracy=68.929167 loss=1.302491 lr=0.000133 Epoch[192] Batch [0799]/[3759] Speed: 162.735765 samples/sec accuracy=68.908203 loss=1.302895 lr=0.000132 Epoch[192] Batch [0849]/[3759] Speed: 164.768537 samples/sec accuracy=68.976103 loss=1.299842 lr=0.000131 Epoch[192] Batch [0899]/[3759] Speed: 163.812787 samples/sec accuracy=69.022569 loss=1.298737 lr=0.000131 Epoch[192] Batch [0949]/[3759] Speed: 165.081529 samples/sec accuracy=69.062500 loss=1.299539 lr=0.000130 Epoch[192] Batch [0999]/[3759] Speed: 164.284249 samples/sec accuracy=68.990625 loss=1.303166 lr=0.000129 Epoch[192] Batch [1049]/[3759] Speed: 164.214958 samples/sec accuracy=68.994048 loss=1.302902 lr=0.000128 Epoch[192] Batch [1099]/[3759] Speed: 164.687720 samples/sec accuracy=68.977273 loss=1.304775 lr=0.000127 Epoch[192] Batch [1149]/[3759] Speed: 163.477452 samples/sec accuracy=68.980978 loss=1.304272 lr=0.000126 Epoch[192] Batch [1199]/[3759] Speed: 163.470744 samples/sec accuracy=68.997396 loss=1.304840 lr=0.000125 Epoch[192] Batch [1249]/[3759] Speed: 163.868181 samples/sec accuracy=69.028750 loss=1.305125 lr=0.000124 Epoch[192] Batch [1299]/[3759] Speed: 163.009072 samples/sec accuracy=69.048077 loss=1.304183 lr=0.000123 Epoch[192] Batch [1349]/[3759] Speed: 164.083658 samples/sec accuracy=69.074074 loss=1.302860 lr=0.000122 Epoch[192] Batch [1399]/[3759] Speed: 166.008322 samples/sec accuracy=69.081473 loss=1.302396 lr=0.000121 Epoch[192] Batch [1449]/[3759] Speed: 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loss=1.304637 lr=0.000113 Epoch[192] Batch [1949]/[3759] Speed: 164.413194 samples/sec accuracy=69.064103 loss=1.303080 lr=0.000112 Epoch[192] Batch [1999]/[3759] Speed: 163.585831 samples/sec accuracy=69.043750 loss=1.303989 lr=0.000111 Epoch[192] Batch [2049]/[3759] Speed: 164.866765 samples/sec accuracy=69.053354 loss=1.304265 lr=0.000110 Epoch[192] Batch [2099]/[3759] Speed: 162.347909 samples/sec accuracy=69.063988 loss=1.303816 lr=0.000109 Epoch[192] Batch [2149]/[3759] Speed: 165.142885 samples/sec accuracy=69.066134 loss=1.303240 lr=0.000108 Epoch[192] Batch [2199]/[3759] Speed: 163.173973 samples/sec accuracy=69.101562 loss=1.301870 lr=0.000107 Epoch[192] Batch [2249]/[3759] Speed: 163.217347 samples/sec accuracy=69.103472 loss=1.301838 lr=0.000107 Epoch[192] Batch [2299]/[3759] Speed: 165.004555 samples/sec accuracy=69.110054 loss=1.301408 lr=0.000106 Epoch[192] Batch [2349]/[3759] Speed: 162.997839 samples/sec accuracy=69.105718 loss=1.301516 lr=0.000105 Epoch[192] Batch 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accuracy=69.177632 loss=1.297752 lr=0.000097 Epoch[192] Batch [2899]/[3759] Speed: 163.775887 samples/sec accuracy=69.178879 loss=1.296973 lr=0.000096 Epoch[192] Batch [2949]/[3759] Speed: 164.067983 samples/sec accuracy=69.183792 loss=1.296827 lr=0.000095 Epoch[192] Batch [2999]/[3759] Speed: 163.571616 samples/sec accuracy=69.183854 loss=1.296531 lr=0.000094 Epoch[192] Batch [3049]/[3759] Speed: 164.816613 samples/sec accuracy=69.197746 loss=1.296109 lr=0.000094 Epoch[192] Batch [3099]/[3759] Speed: 164.011918 samples/sec accuracy=69.203629 loss=1.296144 lr=0.000093 Epoch[192] Batch [3149]/[3759] Speed: 162.524687 samples/sec accuracy=69.199901 loss=1.296064 lr=0.000092 Epoch[192] Batch [3199]/[3759] Speed: 163.192406 samples/sec accuracy=69.204590 loss=1.295353 lr=0.000091 Epoch[192] Batch [3249]/[3759] Speed: 163.728326 samples/sec accuracy=69.193269 loss=1.295898 lr=0.000090 Epoch[192] Batch [3299]/[3759] Speed: 164.287057 samples/sec accuracy=69.204545 loss=1.295526 lr=0.000090 Epoch[192] Batch [3349]/[3759] Speed: 163.241310 samples/sec accuracy=69.212687 loss=1.295191 lr=0.000089 Epoch[192] Batch [3399]/[3759] Speed: 163.624723 samples/sec accuracy=69.206342 loss=1.295831 lr=0.000088 Epoch[192] Batch [3449]/[3759] Speed: 162.655790 samples/sec accuracy=69.186594 loss=1.296202 lr=0.000087 Epoch[192] Batch [3499]/[3759] Speed: 166.144801 samples/sec accuracy=69.183929 loss=1.296299 lr=0.000087 Epoch[192] Batch [3549]/[3759] Speed: 163.758527 samples/sec accuracy=69.172975 loss=1.296789 lr=0.000086 Epoch[192] Batch [3599]/[3759] Speed: 163.864866 samples/sec accuracy=69.154080 loss=1.297486 lr=0.000085 Epoch[192] Batch [3649]/[3759] Speed: 163.173020 samples/sec accuracy=69.156678 loss=1.297626 lr=0.000084 Epoch[192] Batch [3699]/[3759] Speed: 164.411768 samples/sec accuracy=69.154983 loss=1.297766 lr=0.000084 Epoch[192] Batch [3749]/[3759] Speed: 177.955088 samples/sec accuracy=69.182500 loss=1.296900 lr=0.000083 Batch [0049]/[0303]: acc-top1=61.312500 acc-top5=81.312500 Batch [0099]/[0303]: acc-top1=58.484375 acc-top5=80.812500 Batch [0149]/[0303]: acc-top1=59.750000 acc-top5=81.625000 Batch [0199]/[0303]: acc-top1=62.171875 acc-top5=82.968750 Batch [0249]/[0303]: acc-top1=61.525000 acc-top5=82.531250 Batch [0299]/[0303]: acc-top1=61.041667 acc-top5=82.442708 [Epoch 192] training: accuracy=69.184374 loss=1.296727 [Epoch 192] speed: 163 samples/sec time cost: 1589.493321 [Epoch 192] validation: acc-top1=60.973597 acc-top5=82.441213 loss=1.790463 Epoch[193] Batch [0049]/[3760] Speed: 116.120533 samples/sec accuracy=70.437500 loss=1.241749 lr=0.000082 Epoch[193] Batch [0099]/[3760] Speed: 165.393465 samples/sec accuracy=69.828125 loss=1.277368 lr=0.000081 Epoch[193] Batch [0149]/[3760] Speed: 165.173357 samples/sec accuracy=70.031250 loss=1.286970 lr=0.000080 Epoch[193] Batch [0199]/[3760] Speed: 164.465575 samples/sec accuracy=69.929688 loss=1.290857 lr=0.000080 Epoch[193] Batch [0249]/[3760] Speed: 164.799494 samples/sec 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accuracy=69.375000 loss=1.290802 lr=0.000049 Epoch[193] Batch [2649]/[3760] Speed: 162.512815 samples/sec accuracy=69.362028 loss=1.291461 lr=0.000048 Epoch[193] Batch [2699]/[3760] Speed: 163.998836 samples/sec accuracy=69.360532 loss=1.291702 lr=0.000048 Epoch[193] Batch [2749]/[3760] Speed: 162.847687 samples/sec accuracy=69.355114 loss=1.291281 lr=0.000047 Epoch[193] Batch [2799]/[3760] Speed: 164.791000 samples/sec accuracy=69.354353 loss=1.292018 lr=0.000046 Epoch[193] Batch [2849]/[3760] Speed: 166.550549 samples/sec accuracy=69.359101 loss=1.291575 lr=0.000046 Epoch[193] Batch [2899]/[3760] Speed: 161.725403 samples/sec accuracy=69.371228 loss=1.291514 lr=0.000045 Epoch[193] Batch [2949]/[3760] Speed: 165.423730 samples/sec accuracy=69.367585 loss=1.291759 lr=0.000045 Epoch[193] Batch [2999]/[3760] Speed: 163.052844 samples/sec accuracy=69.352604 loss=1.291681 lr=0.000044 Epoch[193] Batch [3049]/[3760] Speed: 162.764544 samples/sec accuracy=69.368340 loss=1.290796 lr=0.000044 Epoch[193] Batch [3099]/[3760] Speed: 164.466503 samples/sec accuracy=69.347782 loss=1.291651 lr=0.000043 Epoch[193] Batch [3149]/[3760] Speed: 163.729780 samples/sec accuracy=69.361111 loss=1.291398 lr=0.000043 Epoch[193] Batch [3199]/[3760] Speed: 163.594738 samples/sec accuracy=69.360352 loss=1.291904 lr=0.000042 Epoch[193] Batch [3249]/[3760] Speed: 164.060595 samples/sec accuracy=69.359615 loss=1.292025 lr=0.000042 Epoch[193] Batch [3299]/[3760] Speed: 163.464610 samples/sec accuracy=69.334280 loss=1.292704 lr=0.000041 Epoch[193] Batch [3349]/[3760] Speed: 164.397732 samples/sec accuracy=69.331623 loss=1.292659 lr=0.000040 Epoch[193] Batch [3399]/[3760] Speed: 164.759291 samples/sec accuracy=69.294577 loss=1.293578 lr=0.000040 Epoch[193] Batch [3449]/[3760] Speed: 164.557906 samples/sec accuracy=69.324275 loss=1.292365 lr=0.000039 Epoch[193] Batch [3499]/[3760] Speed: 164.407326 samples/sec accuracy=69.329911 loss=1.291736 lr=0.000039 Epoch[193] Batch [3549]/[3760] Speed: 162.358196 samples/sec accuracy=69.341989 loss=1.291145 lr=0.000038 Epoch[193] Batch [3599]/[3760] Speed: 164.229986 samples/sec accuracy=69.333767 loss=1.291462 lr=0.000038 Epoch[193] Batch [3649]/[3760] Speed: 162.279347 samples/sec accuracy=69.332620 loss=1.291741 lr=0.000037 Epoch[193] Batch [3699]/[3760] Speed: 164.603536 samples/sec accuracy=69.340372 loss=1.291105 lr=0.000037 Epoch[193] Batch [3749]/[3760] Speed: 176.298611 samples/sec accuracy=69.333333 loss=1.290750 lr=0.000036 Batch [0049]/[0303]: acc-top1=61.562500 acc-top5=80.781250 Batch [0099]/[0303]: acc-top1=58.703125 acc-top5=80.468750 Batch [0149]/[0303]: acc-top1=59.864583 acc-top5=81.270833 Batch [0199]/[0303]: acc-top1=62.273437 acc-top5=82.703125 Batch [0249]/[0303]: acc-top1=61.581250 acc-top5=82.412500 Batch [0299]/[0303]: acc-top1=61.135417 acc-top5=82.359375 [Epoch 193] training: accuracy=69.331366 loss=1.290925 [Epoch 193] speed: 163 samples/sec time cost: 1588.414546 [Epoch 193] validation: acc-top1=61.056106 acc-top5=82.353548 loss=1.794114 Epoch[194] Batch [0049]/[3759] Speed: 115.670694 samples/sec accuracy=68.093750 loss=1.319527 lr=0.000036 Epoch[194] Batch [0099]/[3759] Speed: 164.459050 samples/sec accuracy=68.062500 loss=1.309660 lr=0.000035 Epoch[194] Batch [0149]/[3759] Speed: 163.863587 samples/sec accuracy=68.031250 loss=1.318688 lr=0.000035 Epoch[194] Batch [0199]/[3759] Speed: 164.710729 samples/sec accuracy=68.015625 loss=1.321124 lr=0.000034 Epoch[194] Batch [0249]/[3759] Speed: 162.658194 samples/sec accuracy=68.075000 loss=1.323713 lr=0.000034 Epoch[194] Batch [0299]/[3759] Speed: 165.622929 samples/sec accuracy=68.479167 loss=1.309509 lr=0.000033 Epoch[194] Batch [0349]/[3759] Speed: 162.564273 samples/sec accuracy=68.544643 loss=1.302852 lr=0.000033 Epoch[194] Batch [0399]/[3759] Speed: 164.003132 samples/sec accuracy=68.730469 loss=1.296447 lr=0.000033 Epoch[194] Batch [0449]/[3759] Speed: 163.836674 samples/sec accuracy=68.579861 loss=1.299018 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accuracy=69.132812 loss=1.290141 lr=0.000024 Epoch[194] Batch [1449]/[3759] Speed: 163.620104 samples/sec accuracy=69.159483 loss=1.290131 lr=0.000023 Epoch[194] Batch [1499]/[3759] Speed: 164.815281 samples/sec accuracy=69.178125 loss=1.289520 lr=0.000023 Epoch[194] Batch [1549]/[3759] Speed: 166.648063 samples/sec accuracy=69.185484 loss=1.289373 lr=0.000023 Epoch[194] Batch [1599]/[3759] Speed: 161.874935 samples/sec accuracy=69.181641 loss=1.289904 lr=0.000022 Epoch[194] Batch [1649]/[3759] Speed: 164.093935 samples/sec accuracy=69.238636 loss=1.288578 lr=0.000022 Epoch[194] Batch [1699]/[3759] Speed: 164.826711 samples/sec accuracy=69.259191 loss=1.287963 lr=0.000022 Epoch[194] Batch [1749]/[3759] Speed: 163.577232 samples/sec accuracy=69.250000 loss=1.289004 lr=0.000021 Epoch[194] Batch [1799]/[3759] Speed: 163.707595 samples/sec accuracy=69.275174 loss=1.288495 lr=0.000021 Epoch[194] Batch [1849]/[3759] Speed: 164.311374 samples/sec accuracy=69.265203 loss=1.289876 lr=0.000020 Epoch[194] Batch [1899]/[3759] Speed: 164.546042 samples/sec accuracy=69.296053 loss=1.289940 lr=0.000020 Epoch[194] Batch [1949]/[3759] Speed: 165.233699 samples/sec accuracy=69.309295 loss=1.289536 lr=0.000020 Epoch[194] Batch [1999]/[3759] Speed: 165.207687 samples/sec accuracy=69.308594 loss=1.289556 lr=0.000019 Epoch[194] Batch [2049]/[3759] Speed: 163.069186 samples/sec accuracy=69.311738 loss=1.289162 lr=0.000019 Epoch[194] Batch [2099]/[3759] Speed: 164.890037 samples/sec accuracy=69.336310 loss=1.288075 lr=0.000019 Epoch[194] Batch [2149]/[3759] Speed: 164.367453 samples/sec accuracy=69.351744 loss=1.288153 lr=0.000018 Epoch[194] Batch [2199]/[3759] Speed: 164.195518 samples/sec accuracy=69.368608 loss=1.286900 lr=0.000018 Epoch[194] Batch [2249]/[3759] Speed: 163.285890 samples/sec accuracy=69.374306 loss=1.287739 lr=0.000018 Epoch[194] Batch [2299]/[3759] Speed: 163.376095 samples/sec accuracy=69.396060 loss=1.286869 lr=0.000017 Epoch[194] Batch [2349]/[3759] Speed: 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loss=1.287260 lr=0.000014 Epoch[194] Batch [2849]/[3759] Speed: 166.068024 samples/sec accuracy=69.407346 loss=1.287317 lr=0.000014 Epoch[194] Batch [2899]/[3759] Speed: 163.880576 samples/sec accuracy=69.420259 loss=1.286827 lr=0.000013 Epoch[194] Batch [2949]/[3759] Speed: 164.170784 samples/sec accuracy=69.423199 loss=1.286750 lr=0.000013 Epoch[194] Batch [2999]/[3759] Speed: 163.662756 samples/sec accuracy=69.433854 loss=1.286541 lr=0.000013 Epoch[194] Batch [3049]/[3759] Speed: 163.843710 samples/sec accuracy=69.427766 loss=1.286868 lr=0.000013 Epoch[194] Batch [3099]/[3759] Speed: 163.824731 samples/sec accuracy=69.452117 loss=1.285975 lr=0.000012 Epoch[194] Batch [3149]/[3759] Speed: 165.061252 samples/sec accuracy=69.464286 loss=1.286030 lr=0.000012 Epoch[194] Batch [3199]/[3759] Speed: 163.070539 samples/sec accuracy=69.453125 loss=1.286242 lr=0.000012 Epoch[194] Batch [3249]/[3759] Speed: 163.735223 samples/sec accuracy=69.460096 loss=1.286428 lr=0.000011 Epoch[194] Batch 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accuracy=69.415833 loss=1.288544 lr=0.000009 Batch [0049]/[0303]: acc-top1=61.156250 acc-top5=81.156250 Batch [0099]/[0303]: acc-top1=58.531250 acc-top5=80.750000 Batch [0149]/[0303]: acc-top1=59.729167 acc-top5=81.416667 Batch [0199]/[0303]: acc-top1=62.281250 acc-top5=82.796875 Batch [0249]/[0303]: acc-top1=61.618750 acc-top5=82.525000 Batch [0299]/[0303]: acc-top1=61.083333 acc-top5=82.468750 [Epoch 194] training: accuracy=69.410082 loss=1.288659 [Epoch 194] speed: 163 samples/sec time cost: 1587.117456 [Epoch 194] validation: acc-top1=60.999381 acc-top5=82.456683 loss=1.798312 Epoch[195] Batch [0049]/[3760] Speed: 116.993520 samples/sec accuracy=69.375000 loss=1.248156 lr=0.000009 Epoch[195] Batch [0099]/[3760] Speed: 163.647211 samples/sec accuracy=69.656250 loss=1.257852 lr=0.000008 Epoch[195] Batch [0149]/[3760] Speed: 164.927691 samples/sec accuracy=69.937500 loss=1.258359 lr=0.000008 Epoch[195] Batch [0199]/[3760] Speed: 165.197385 samples/sec accuracy=69.593750 loss=1.277208 lr=0.000008 Epoch[195] Batch [0249]/[3760] Speed: 163.893543 samples/sec accuracy=69.425000 loss=1.284924 lr=0.000008 Epoch[195] Batch [0299]/[3760] Speed: 164.046271 samples/sec accuracy=69.239583 loss=1.289473 lr=0.000007 Epoch[195] Batch [0349]/[3760] Speed: 163.881681 samples/sec accuracy=69.464286 loss=1.280968 lr=0.000007 Epoch[195] Batch [0399]/[3760] Speed: 163.859596 samples/sec accuracy=69.484375 loss=1.281000 lr=0.000007 Epoch[195] Batch [0449]/[3760] Speed: 164.308023 samples/sec accuracy=69.555556 loss=1.280625 lr=0.000007 Epoch[195] Batch [0499]/[3760] Speed: 162.771313 samples/sec accuracy=69.575000 loss=1.280519 lr=0.000007 Epoch[195] Batch [0549]/[3760] Speed: 164.746856 samples/sec accuracy=69.571023 loss=1.278531 lr=0.000006 Epoch[195] Batch [0599]/[3760] Speed: 164.576468 samples/sec accuracy=69.520833 loss=1.279276 lr=0.000006 Epoch[195] Batch [0649]/[3760] Speed: 165.396938 samples/sec accuracy=69.543269 loss=1.279656 lr=0.000006 Epoch[195] Batch [0699]/[3760] Speed: 163.091771 samples/sec accuracy=69.529018 loss=1.279235 lr=0.000006 Epoch[195] Batch [0749]/[3760] Speed: 164.888532 samples/sec accuracy=69.502083 loss=1.277974 lr=0.000006 Epoch[195] Batch [0799]/[3760] Speed: 165.718336 samples/sec accuracy=69.556641 loss=1.276334 lr=0.000005 Epoch[195] Batch [0849]/[3760] Speed: 163.739651 samples/sec accuracy=69.553309 loss=1.278017 lr=0.000005 Epoch[195] Batch [0899]/[3760] Speed: 164.454361 samples/sec accuracy=69.565972 loss=1.277905 lr=0.000005 Epoch[195] Batch [0949]/[3760] Speed: 163.841550 samples/sec accuracy=69.534539 loss=1.277622 lr=0.000005 Epoch[195] Batch [0999]/[3760] Speed: 163.317645 samples/sec accuracy=69.559375 loss=1.275649 lr=0.000005 Epoch[195] Batch [1049]/[3760] Speed: 164.358218 samples/sec accuracy=69.599702 loss=1.274015 lr=0.000004 Epoch[195] Batch [1099]/[3760] Speed: 162.396479 samples/sec accuracy=69.703125 loss=1.272683 lr=0.000004 Epoch[195] Batch [1149]/[3760] Speed: 165.218046 samples/sec accuracy=69.653533 loss=1.275240 lr=0.000004 Epoch[195] Batch [1199]/[3760] Speed: 164.152790 samples/sec accuracy=69.686198 loss=1.272760 lr=0.000004 Epoch[195] Batch [1249]/[3760] Speed: 164.745562 samples/sec accuracy=69.637500 loss=1.275426 lr=0.000004 Epoch[195] Batch [1299]/[3760] Speed: 163.464019 samples/sec accuracy=69.609375 loss=1.276972 lr=0.000004 Epoch[195] Batch [1349]/[3760] Speed: 163.642355 samples/sec accuracy=69.577546 loss=1.279689 lr=0.000003 Epoch[195] Batch [1399]/[3760] Speed: 163.563300 samples/sec accuracy=69.569196 loss=1.280568 lr=0.000003 Epoch[195] Batch [1449]/[3760] Speed: 165.127521 samples/sec accuracy=69.523707 loss=1.281583 lr=0.000003 Epoch[195] Batch [1499]/[3760] Speed: 164.613721 samples/sec accuracy=69.518750 loss=1.282373 lr=0.000003 Epoch[195] Batch [1549]/[3760] Speed: 163.639647 samples/sec accuracy=69.538306 loss=1.282251 lr=0.000003 Epoch[195] Batch [1599]/[3760] Speed: 165.118772 samples/sec accuracy=69.500977 loss=1.283146 lr=0.000003 Epoch[195] Batch [1649]/[3760] Speed: 164.306494 samples/sec accuracy=69.512311 loss=1.281667 lr=0.000003 Epoch[195] Batch [1699]/[3760] Speed: 164.825640 samples/sec accuracy=69.534926 loss=1.280376 lr=0.000002 Epoch[195] Batch [1749]/[3760] Speed: 162.760800 samples/sec accuracy=69.558036 loss=1.279165 lr=0.000002 Epoch[195] Batch [1799]/[3760] Speed: 164.876293 samples/sec accuracy=69.552083 loss=1.279950 lr=0.000002 Epoch[195] Batch [1849]/[3760] Speed: 163.193537 samples/sec accuracy=69.564189 loss=1.280195 lr=0.000002 Epoch[195] Batch [1899]/[3760] Speed: 164.439850 samples/sec accuracy=69.540296 loss=1.281113 lr=0.000002 Epoch[195] Batch [1949]/[3760] Speed: 164.882481 samples/sec accuracy=69.583333 loss=1.279996 lr=0.000002 Epoch[195] Batch [1999]/[3760] Speed: 164.808321 samples/sec accuracy=69.585938 loss=1.280345 lr=0.000002 Epoch[195] Batch [2049]/[3760] Speed: 163.943441 samples/sec accuracy=69.581555 loss=1.280395 lr=0.000002 Epoch[195] Batch [2099]/[3760] Speed: 163.213144 samples/sec accuracy=69.574405 loss=1.281066 lr=0.000002 Epoch[195] Batch [2149]/[3760] Speed: 164.611785 samples/sec accuracy=69.538517 loss=1.282282 lr=0.000001 Epoch[195] Batch [2199]/[3760] Speed: 164.265987 samples/sec accuracy=69.529830 loss=1.283001 lr=0.000001 Epoch[195] Batch [2249]/[3760] Speed: 162.195237 samples/sec accuracy=69.484028 loss=1.284767 lr=0.000001 Epoch[195] Batch [2299]/[3760] Speed: 164.397666 samples/sec accuracy=69.455163 loss=1.284910 lr=0.000001 Epoch[195] Batch [2349]/[3760] Speed: 163.560573 samples/sec accuracy=69.450133 loss=1.284815 lr=0.000001 Epoch[195] Batch [2399]/[3760] Speed: 163.522602 samples/sec accuracy=69.437500 loss=1.284219 lr=0.000001 Epoch[195] Batch [2449]/[3760] Speed: 163.249544 samples/sec accuracy=69.433673 loss=1.284087 lr=0.000001 Epoch[195] Batch [2499]/[3760] Speed: 163.380974 samples/sec accuracy=69.436875 loss=1.283981 lr=0.000001 Epoch[195] Batch [2549]/[3760] Speed: 164.751845 samples/sec accuracy=69.441176 loss=1.284449 lr=0.000001 Epoch[195] Batch [2599]/[3760] Speed: 165.663798 samples/sec accuracy=69.472356 loss=1.284049 lr=0.000001 Epoch[195] Batch [2649]/[3760] Speed: 164.567169 samples/sec accuracy=69.468160 loss=1.284071 lr=0.000001 Epoch[195] Batch [2699]/[3760] Speed: 164.259073 samples/sec accuracy=69.469329 loss=1.284075 lr=0.000001 Epoch[195] Batch [2749]/[3760] Speed: 163.163066 samples/sec accuracy=69.443750 loss=1.284730 lr=0.000001 Epoch[195] Batch [2799]/[3760] Speed: 163.742242 samples/sec accuracy=69.434152 loss=1.284898 lr=0.000000 Epoch[195] Batch [2849]/[3760] Speed: 163.697917 samples/sec accuracy=69.441338 loss=1.284902 lr=0.000000 Epoch[195] Batch [2899]/[3760] Speed: 164.007529 samples/sec accuracy=69.457435 loss=1.284195 lr=0.000000 Epoch[195] Batch [2949]/[3760] Speed: 162.968793 samples/sec accuracy=69.458157 loss=1.284209 lr=0.000000 Epoch[195] Batch [2999]/[3760] Speed: 163.995638 samples/sec accuracy=69.444271 loss=1.284955 lr=0.000000 Epoch[195] Batch [3049]/[3760] Speed: 165.241737 samples/sec accuracy=69.443135 loss=1.285006 lr=0.000000 Epoch[195] Batch [3099]/[3760] Speed: 162.311066 samples/sec accuracy=69.466734 loss=1.283445 lr=0.000000 Epoch[195] Batch [3149]/[3760] Speed: 163.951492 samples/sec accuracy=69.452381 loss=1.283534 lr=0.000000 Epoch[195] Batch [3199]/[3760] Speed: 164.348483 samples/sec accuracy=69.436523 loss=1.284088 lr=0.000000 Epoch[195] Batch [3249]/[3760] Speed: 164.540494 samples/sec accuracy=69.458654 loss=1.283746 lr=0.000000 Epoch[195] Batch [3299]/[3760] Speed: 163.887948 samples/sec accuracy=69.452652 loss=1.283967 lr=0.000000 Epoch[195] Batch [3349]/[3760] Speed: 165.037117 samples/sec accuracy=69.456157 loss=1.284625 lr=0.000000 Epoch[195] Batch [3399]/[3760] Speed: 164.305613 samples/sec accuracy=69.448529 loss=1.285078 lr=0.000000 Epoch[195] Batch [3449]/[3760] Speed: 163.487510 samples/sec accuracy=69.450181 loss=1.284820 lr=0.000000 Epoch[195] Batch [3499]/[3760] Speed: 163.728418 samples/sec accuracy=69.455804 loss=1.284650 lr=0.000000 Epoch[195] Batch [3549]/[3760] Speed: 163.214227 samples/sec accuracy=69.467430 loss=1.284152 lr=0.000000 Epoch[195] Batch [3599]/[3760] Speed: 163.414462 samples/sec accuracy=69.449653 loss=1.284410 lr=0.000000 Epoch[195] Batch [3649]/[3760] Speed: 163.931695 samples/sec accuracy=69.454195 loss=1.284708 lr=0.000000 Epoch[195] Batch [3699]/[3760] Speed: 163.986777 samples/sec accuracy=69.435811 loss=1.285207 lr=0.000000 Epoch[195] Batch [3749]/[3760] Speed: 175.271181 samples/sec accuracy=69.441250 loss=1.285262 lr=0.000000 Batch [0049]/[0303]: acc-top1=61.406250 acc-top5=81.031250 Batch [0099]/[0303]: acc-top1=58.484375 acc-top5=80.531250 Batch [0149]/[0303]: acc-top1=59.645833 acc-top5=81.322917 Batch [0199]/[0303]: acc-top1=62.195312 acc-top5=82.664062 Batch [0249]/[0303]: acc-top1=61.543750 acc-top5=82.318750 Batch [0299]/[0303]: acc-top1=61.156250 acc-top5=82.291667 [Epoch 195] training: accuracy=69.442736 loss=1.285225 [Epoch 195] speed: 163 samples/sec time cost: 1587.284752 [Epoch 195] validation: acc-top1=61.087046 acc-top5=82.281353 loss=1.790621