Namespace(accumulate=1, batch_norm=False, batch_size=16, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, freeze_bn=False, hard_weight=0.5, hashtag='', input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='p3d_seg1_k400_b16_g8_f16s2_cosine_epoch196_lr1_warm24_warmlr_001_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='p3d_resnet50_kinetics400', momentum=0.9, new_height=256, new_length=16, new_step=2, new_width=340, 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/p3d/p3d_seg1_k400_b16_g8_f16s2_cosine_epoch196_lr1_warm24_warmlr_001_run1', save_frequency=10, scale_ratios='1.0,0.8', slow_temporal_stride=16, slowfast=False, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=24, warmup_lr=0.001, wd=0.0001) Total batch size is set to 128 on 8 GPUs P3D( (conv1): Conv3D(3 -> 64, 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=64) (relu): Activation(relu) (pool): MaxPool3D(size=(2, 3, 3), stride=(2, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (pool2): MaxPool3D(size=(2, 1, 1), stride=(2, 1, 1), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (layer1): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) (conv1): Conv3D(64 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv_temporal): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv_temporal): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv_temporal): Conv3D(64 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) ) (layer2): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(256 -> 512, kernel_size=(1, 1, 1), stride=(1, 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): Conv3D(256 -> 128, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv_temporal): Conv3D(128 -> 128, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) ) (layer3): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv3D(512 -> 1024, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) (conv1): Conv3D(512 -> 256, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (4): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (5): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv_temporal): Conv3D(256 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn_temporal): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) ) (layer4): HybridSequential( (0): Bottleneck( (downsample): HybridSequential( (0): Conv2D(1024 -> 2048, kernel_size=(1, 1), stride=(2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) (conv1): Conv2D(1024 -> 512, kernel_size=(1, 1), stride=(2, 2), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (1): Bottleneck( (conv1): Conv2D(2048 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv2D(2048 -> 512, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv2D(512 -> 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv2D(512 -> 2048, kernel_size=(1, 1), stride=(1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) ) (avgpool): GlobalAvgPool2D(size=(1, 1), stride=(1, 1), padding=(0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCHW) (dropout): Dropout(p = 0.5, axes=()) (fc): Dense(2048 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[1879] Speed: 52.676513 samples/sec accuracy=0.406250 loss=5.958939 lr=0.001110 Epoch[000] Batch [0099]/[1879] Speed: 74.313189 samples/sec accuracy=0.437500 loss=5.945367 lr=0.001220 Epoch[000] Batch [0149]/[1879] Speed: 97.238914 samples/sec accuracy=0.432292 loss=5.945458 lr=0.001329 Epoch[000] Batch [0199]/[1879] Speed: 80.043453 samples/sec accuracy=0.449219 loss=5.944782 lr=0.001439 Epoch[000] Batch [0249]/[1879] Speed: 97.140234 samples/sec accuracy=0.434375 loss=5.945933 lr=0.001549 Epoch[000] Batch [0299]/[1879] Speed: 83.649886 samples/sec accuracy=0.432292 loss=5.946853 lr=0.001659 Epoch[000] Batch [0349]/[1879] Speed: 95.614008 samples/sec accuracy=0.444196 loss=5.945857 lr=0.001768 Epoch[000] Batch [0399]/[1879] Speed: 86.317698 samples/sec accuracy=0.449219 loss=5.944382 lr=0.001878 Epoch[000] Batch [0449]/[1879] Speed: 92.173971 samples/sec accuracy=0.473958 loss=5.942060 lr=0.001988 Epoch[000] Batch [0499]/[1879] Speed: 84.631324 samples/sec accuracy=0.482812 loss=5.940420 lr=0.002098 Epoch[000] Batch [0549]/[1879] Speed: 93.161036 samples/sec accuracy=0.518466 loss=5.938889 lr=0.002207 Epoch[000] Batch [0599]/[1879] Speed: 86.653959 samples/sec accuracy=0.523438 loss=5.937738 lr=0.002317 Epoch[000] Batch [0649]/[1879] Speed: 93.000857 samples/sec accuracy=0.538462 loss=5.937263 lr=0.002427 Epoch[000] Batch [0699]/[1879] Speed: 95.447552 samples/sec accuracy=0.562500 loss=5.935089 lr=0.002537 Epoch[000] Batch [0749]/[1879] Speed: 91.903506 samples/sec accuracy=0.572917 loss=5.934188 lr=0.002647 Epoch[000] Batch [0799]/[1879] Speed: 99.437695 samples/sec accuracy=0.585938 loss=5.932104 lr=0.002756 Epoch[000] Batch [0849]/[1879] Speed: 94.900587 samples/sec accuracy=0.599265 loss=5.928939 lr=0.002866 Epoch[000] Batch [0899]/[1879] Speed: 100.590278 samples/sec accuracy=0.614583 loss=5.925850 lr=0.002976 Epoch[000] Batch [0949]/[1879] Speed: 92.932256 samples/sec accuracy=0.630757 loss=5.922198 lr=0.003086 Epoch[000] Batch 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accuracy=0.806573 loss=5.868041 lr=0.004183 Epoch[000] Batch [1499]/[1879] Speed: 100.710017 samples/sec accuracy=0.828125 loss=5.861229 lr=0.004293 Epoch[000] Batch [1549]/[1879] Speed: 101.841690 samples/sec accuracy=0.857863 loss=5.853565 lr=0.004403 Epoch[000] Batch [1599]/[1879] Speed: 104.318513 samples/sec accuracy=0.878906 loss=5.845884 lr=0.004513 Epoch[000] Batch [1649]/[1879] Speed: 98.634753 samples/sec accuracy=0.906250 loss=5.838652 lr=0.004622 Epoch[000] Batch [1699]/[1879] Speed: 100.050615 samples/sec accuracy=0.931526 loss=5.831025 lr=0.004732 Epoch[000] Batch [1749]/[1879] Speed: 103.679801 samples/sec accuracy=0.960714 loss=5.824308 lr=0.004842 Epoch[000] Batch [1799]/[1879] Speed: 100.027757 samples/sec accuracy=0.987847 loss=5.816856 lr=0.004952 Epoch[000] Batch [1849]/[1879] Speed: 99.881280 samples/sec accuracy=1.022804 loss=5.809198 lr=0.005061 Batch [0049]/[0151]: acc-top1=1.312500 acc-top5=5.187500 Batch [0099]/[0151]: acc-top1=1.320312 acc-top5=5.937500 Batch [0149]/[0151]: acc-top1=1.614583 acc-top5=6.734375 [Epoch 000] training: accuracy=1.046933 loss=5.804830 [Epoch 000] speed: 93 samples/sec time cost: 2814.197693 [Epoch 000] validation: acc-top1=1.603891 acc-top5=6.694950 loss=5.663635 Epoch[001] Batch [0049]/[1880] Speed: 72.270162 samples/sec accuracy=2.187500 loss=5.518979 lr=0.005235 Epoch[001] Batch [0099]/[1880] Speed: 105.253984 samples/sec accuracy=2.210938 loss=5.495848 lr=0.005345 Epoch[001] Batch [0149]/[1880] Speed: 99.303452 samples/sec accuracy=2.302083 loss=5.497008 lr=0.005454 Epoch[001] Batch [0199]/[1880] Speed: 104.288225 samples/sec accuracy=2.234375 loss=5.489032 lr=0.005564 Epoch[001] Batch [0249]/[1880] Speed: 105.123416 samples/sec accuracy=2.303125 loss=5.483652 lr=0.005674 Epoch[001] Batch [0299]/[1880] Speed: 102.065554 samples/sec accuracy=2.346354 loss=5.480003 lr=0.005784 Epoch[001] Batch [0349]/[1880] Speed: 106.177435 samples/sec accuracy=2.444196 loss=5.471993 lr=0.005893 Epoch[001] Batch 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accuracy=2.677390 loss=5.404198 lr=0.006991 Epoch[001] Batch [0899]/[1880] Speed: 108.765430 samples/sec accuracy=2.715278 loss=5.396636 lr=0.007101 Epoch[001] Batch [0949]/[1880] Speed: 108.928753 samples/sec accuracy=2.753289 loss=5.390707 lr=0.007211 Epoch[001] Batch [0999]/[1880] Speed: 100.320473 samples/sec accuracy=2.807812 loss=5.384910 lr=0.007320 Epoch[001] Batch [1049]/[1880] Speed: 103.831929 samples/sec accuracy=2.848214 loss=5.378958 lr=0.007430 Epoch[001] Batch [1099]/[1880] Speed: 101.566489 samples/sec accuracy=2.897017 loss=5.372232 lr=0.007540 Epoch[001] Batch [1149]/[1880] Speed: 105.556931 samples/sec accuracy=2.937500 loss=5.366410 lr=0.007650 Epoch[001] Batch [1199]/[1880] Speed: 101.247318 samples/sec accuracy=2.965495 loss=5.359539 lr=0.007760 Epoch[001] Batch [1249]/[1880] Speed: 107.224662 samples/sec accuracy=3.005625 loss=5.353237 lr=0.007869 Epoch[001] Batch [1299]/[1880] Speed: 99.873675 samples/sec accuracy=3.036659 loss=5.347299 lr=0.007979 Epoch[001] Batch [1349]/[1880] Speed: 107.279937 samples/sec accuracy=3.085648 loss=5.341705 lr=0.008089 Epoch[001] Batch [1399]/[1880] Speed: 103.181036 samples/sec accuracy=3.126116 loss=5.335925 lr=0.008199 Epoch[001] Batch [1449]/[1880] Speed: 101.116000 samples/sec accuracy=3.162716 loss=5.330063 lr=0.008308 Epoch[001] Batch [1499]/[1880] Speed: 105.721798 samples/sec accuracy=3.203125 loss=5.323757 lr=0.008418 Epoch[001] Batch [1549]/[1880] Speed: 100.907784 samples/sec accuracy=3.256048 loss=5.317439 lr=0.008528 Epoch[001] Batch [1599]/[1880] Speed: 107.389460 samples/sec accuracy=3.274414 loss=5.312344 lr=0.008638 Epoch[001] Batch [1649]/[1880] Speed: 100.730692 samples/sec accuracy=3.312973 loss=5.307508 lr=0.008747 Epoch[001] Batch [1699]/[1880] Speed: 108.784313 samples/sec accuracy=3.343290 loss=5.301795 lr=0.008857 Epoch[001] Batch [1749]/[1880] Speed: 99.396960 samples/sec accuracy=3.385714 loss=5.295497 lr=0.008967 Epoch[001] Batch [1799]/[1880] Speed: 108.750837 samples/sec accuracy=3.424045 loss=5.289303 lr=0.009077 Epoch[001] Batch [1849]/[1880] Speed: 98.686579 samples/sec accuracy=3.459459 loss=5.283940 lr=0.009187 Batch [0049]/[0151]: acc-top1=2.218750 acc-top5=11.078125 Batch [0099]/[0151]: acc-top1=4.375000 acc-top5=14.039062 Batch [0149]/[0151]: acc-top1=4.161458 acc-top5=13.875000 [Epoch 001] training: accuracy=3.486536 loss=5.281130 [Epoch 001] speed: 103 samples/sec time cost: 2540.560859 [Epoch 001] validation: acc-top1=4.144247 acc-top5=13.834851 loss=5.513918 Epoch[002] Batch [0049]/[1880] Speed: 73.003176 samples/sec accuracy=4.781250 loss=5.071040 lr=0.009362 Epoch[002] Batch [0099]/[1880] Speed: 110.023283 samples/sec accuracy=4.828125 loss=5.062166 lr=0.009472 Epoch[002] Batch [0149]/[1880] Speed: 104.163247 samples/sec accuracy=4.869792 loss=5.058169 lr=0.009582 Epoch[002] Batch [0199]/[1880] Speed: 99.809355 samples/sec accuracy=5.074219 loss=5.049349 lr=0.009691 Epoch[002] Batch [0249]/[1880] Speed: 107.458229 samples/sec accuracy=5.096875 loss=5.047381 lr=0.009801 Epoch[002] Batch [0299]/[1880] Speed: 98.771047 samples/sec accuracy=5.166667 loss=5.042493 lr=0.009911 Epoch[002] Batch [0349]/[1880] Speed: 109.000899 samples/sec accuracy=5.290179 loss=5.037583 lr=0.010021 Epoch[002] Batch [0399]/[1880] Speed: 98.029518 samples/sec accuracy=5.333984 loss=5.027923 lr=0.010131 Epoch[002] Batch [0449]/[1880] Speed: 105.467091 samples/sec accuracy=5.371528 loss=5.023624 lr=0.010240 Epoch[002] Batch [0499]/[1880] Speed: 100.792507 samples/sec accuracy=5.420312 loss=5.021113 lr=0.010350 Epoch[002] Batch [0549]/[1880] Speed: 107.034916 samples/sec accuracy=5.460227 loss=5.019541 lr=0.010460 Epoch[002] Batch [0599]/[1880] Speed: 98.133267 samples/sec accuracy=5.484375 loss=5.017818 lr=0.010570 Epoch[002] Batch [0649]/[1880] Speed: 107.450630 samples/sec accuracy=5.562500 loss=5.011841 lr=0.010679 Epoch[002] Batch [0699]/[1880] Speed: 110.003690 samples/sec accuracy=5.606027 loss=5.007476 lr=0.010789 Epoch[002] Batch [0749]/[1880] Speed: 94.087747 samples/sec accuracy=5.637500 loss=5.002413 lr=0.010899 Epoch[002] Batch [0799]/[1880] Speed: 111.277057 samples/sec accuracy=5.675781 loss=4.998207 lr=0.011009 Epoch[002] Batch [0849]/[1880] Speed: 97.667495 samples/sec accuracy=5.697610 loss=4.994500 lr=0.011118 Epoch[002] Batch [0899]/[1880] Speed: 109.226496 samples/sec accuracy=5.747396 loss=4.990219 lr=0.011228 Epoch[002] Batch [0949]/[1880] Speed: 100.764856 samples/sec accuracy=5.782895 loss=4.986417 lr=0.011338 Epoch[002] Batch [0999]/[1880] Speed: 101.377994 samples/sec accuracy=5.821094 loss=4.980967 lr=0.011448 Epoch[002] Batch [1049]/[1880] Speed: 108.061435 samples/sec accuracy=5.865327 loss=4.976193 lr=0.011558 Epoch[002] Batch [1099]/[1880] Speed: 98.347843 samples/sec accuracy=5.911932 loss=4.971686 lr=0.011667 Epoch[002] Batch [1149]/[1880] Speed: 106.904156 samples/sec accuracy=5.968750 loss=4.967183 lr=0.011777 Epoch[002] Batch [1199]/[1880] Speed: 102.196553 samples/sec accuracy=6.001953 loss=4.962761 lr=0.011887 Epoch[002] Batch [1249]/[1880] Speed: 103.646089 samples/sec accuracy=6.017500 loss=4.958563 lr=0.011997 Epoch[002] Batch [1299]/[1880] Speed: 104.007516 samples/sec accuracy=6.058293 loss=4.955111 lr=0.012106 Epoch[002] Batch [1349]/[1880] Speed: 105.809165 samples/sec accuracy=6.079282 loss=4.951751 lr=0.012216 Epoch[002] Batch [1399]/[1880] Speed: 101.560176 samples/sec accuracy=6.111049 loss=4.949384 lr=0.012326 Epoch[002] Batch [1449]/[1880] Speed: 108.557026 samples/sec accuracy=6.141703 loss=4.945284 lr=0.012436 Epoch[002] Batch [1499]/[1880] Speed: 99.398236 samples/sec accuracy=6.185417 loss=4.940786 lr=0.012545 Epoch[002] Batch [1549]/[1880] Speed: 110.577164 samples/sec accuracy=6.223286 loss=4.936262 lr=0.012655 Epoch[002] Batch [1599]/[1880] Speed: 96.833610 samples/sec accuracy=6.278809 loss=4.931540 lr=0.012765 Epoch[002] Batch [1649]/[1880] Speed: 108.252323 samples/sec accuracy=6.323390 loss=4.927019 lr=0.012875 Epoch[002] Batch [1699]/[1880] Speed: 106.680569 samples/sec accuracy=6.341452 loss=4.924449 lr=0.012984 Epoch[002] Batch [1749]/[1880] Speed: 100.232893 samples/sec accuracy=6.375893 loss=4.919854 lr=0.013094 Epoch[002] Batch [1799]/[1880] Speed: 107.480766 samples/sec accuracy=6.403212 loss=4.914958 lr=0.013204 Epoch[002] Batch [1849]/[1880] Speed: 103.680883 samples/sec accuracy=6.442568 loss=4.910079 lr=0.013314 Batch [0049]/[0151]: acc-top1=6.984375 acc-top5=19.609375 Batch [0099]/[0151]: acc-top1=8.132812 acc-top5=21.867188 Batch [0149]/[0151]: acc-top1=7.906250 acc-top5=22.036458 [Epoch 002] training: accuracy=6.471493 loss=4.907263 [Epoch 002] speed: 103 samples/sec time cost: 2539.143877 [Epoch 002] validation: acc-top1=7.900455 acc-top5=22.004346 loss=4.951012 Epoch[003] Batch [0049]/[1880] Speed: 73.716001 samples/sec accuracy=7.437500 loss=4.751293 lr=0.013489 Epoch[003] Batch [0099]/[1880] Speed: 109.855195 samples/sec accuracy=7.734375 loss=4.744502 lr=0.013599 Epoch[003] Batch [0149]/[1880] Speed: 101.537101 samples/sec accuracy=7.828125 loss=4.743067 lr=0.013709 Epoch[003] Batch [0199]/[1880] Speed: 101.370129 samples/sec accuracy=7.789063 loss=4.740602 lr=0.013819 Epoch[003] Batch [0249]/[1880] Speed: 108.365630 samples/sec accuracy=7.843750 loss=4.737051 lr=0.013929 Epoch[003] Batch [0299]/[1880] Speed: 98.020964 samples/sec accuracy=7.867188 loss=4.735680 lr=0.014038 Epoch[003] Batch [0349]/[1880] Speed: 104.254802 samples/sec accuracy=7.962054 loss=4.730441 lr=0.014148 Epoch[003] Batch [0399]/[1880] Speed: 103.024446 samples/sec accuracy=8.060547 loss=4.726506 lr=0.014258 Epoch[003] Batch [0449]/[1880] Speed: 104.473481 samples/sec accuracy=8.118056 loss=4.720043 lr=0.014368 Epoch[003] Batch [0499]/[1880] Speed: 100.667636 samples/sec accuracy=8.181250 loss=4.717501 lr=0.014477 Epoch[003] Batch [0549]/[1880] Speed: 108.250751 samples/sec accuracy=8.301136 loss=4.712234 lr=0.014587 Epoch[003] Batch [0599]/[1880] Speed: 98.256825 samples/sec accuracy=8.332031 loss=4.708608 lr=0.014697 Epoch[003] Batch [0649]/[1880] Speed: 106.625313 samples/sec accuracy=8.352163 loss=4.705981 lr=0.014807 Epoch[003] Batch [0699]/[1880] Speed: 99.427030 samples/sec accuracy=8.396205 loss=4.702514 lr=0.014916 Epoch[003] Batch [0749]/[1880] Speed: 107.537207 samples/sec accuracy=8.432292 loss=4.698604 lr=0.015026 Epoch[003] Batch [0799]/[1880] Speed: 109.045792 samples/sec accuracy=8.482422 loss=4.694480 lr=0.015136 Epoch[003] Batch [0849]/[1880] Speed: 97.072956 samples/sec accuracy=8.480699 loss=4.691349 lr=0.015246 Epoch[003] Batch [0899]/[1880] Speed: 110.069975 samples/sec accuracy=8.512153 loss=4.685481 lr=0.015355 Epoch[003] Batch [0949]/[1880] Speed: 96.541078 samples/sec accuracy=8.553454 loss=4.680973 lr=0.015465 Epoch[003] Batch [0999]/[1880] Speed: 109.067365 samples/sec accuracy=8.587500 loss=4.677646 lr=0.015575 Epoch[003] Batch [1049]/[1880] Speed: 97.308839 samples/sec accuracy=8.628720 loss=4.674074 lr=0.015685 Epoch[003] Batch [1099]/[1880] Speed: 110.037145 samples/sec accuracy=8.678977 loss=4.670052 lr=0.015795 Epoch[003] Batch [1149]/[1880] Speed: 99.165193 samples/sec accuracy=8.711277 loss=4.666496 lr=0.015904 Epoch[003] Batch [1199]/[1880] Speed: 105.052007 samples/sec accuracy=8.710286 loss=4.663977 lr=0.016014 Epoch[003] Batch [1249]/[1880] Speed: 107.715597 samples/sec accuracy=8.746250 loss=4.661601 lr=0.016124 Epoch[003] Batch [1299]/[1880] Speed: 98.630425 samples/sec accuracy=8.763221 loss=4.658315 lr=0.016234 Epoch[003] Batch [1349]/[1880] Speed: 103.296052 samples/sec accuracy=8.787037 loss=4.654729 lr=0.016343 Epoch[003] Batch [1399]/[1880] Speed: 103.213834 samples/sec accuracy=8.837054 loss=4.651497 lr=0.016453 Epoch[003] Batch [1449]/[1880] Speed: 98.424490 samples/sec accuracy=8.881466 loss=4.647052 lr=0.016563 Epoch[003] Batch [1499]/[1880] Speed: 110.348623 samples/sec accuracy=8.935937 loss=4.642771 lr=0.016673 Epoch[003] Batch [1549]/[1880] Speed: 106.938702 samples/sec accuracy=8.978327 loss=4.640264 lr=0.016782 Epoch[003] Batch [1599]/[1880] Speed: 98.275820 samples/sec accuracy=9.024902 loss=4.636548 lr=0.016892 Epoch[003] Batch [1649]/[1880] Speed: 109.819825 samples/sec accuracy=9.080019 loss=4.632211 lr=0.017002 Epoch[003] Batch [1699]/[1880] Speed: 98.790638 samples/sec accuracy=9.109375 loss=4.628501 lr=0.017112 Epoch[003] Batch [1749]/[1880] Speed: 107.095968 samples/sec accuracy=9.155804 loss=4.624232 lr=0.017222 Epoch[003] Batch [1799]/[1880] Speed: 101.840323 samples/sec accuracy=9.210069 loss=4.620749 lr=0.017331 Epoch[003] Batch [1849]/[1880] Speed: 104.897777 samples/sec accuracy=9.237753 loss=4.617739 lr=0.017441 Batch [0049]/[0151]: acc-top1=8.062500 acc-top5=23.875000 Batch [0099]/[0151]: acc-top1=10.632812 acc-top5=27.484375 Batch [0149]/[0151]: acc-top1=10.458333 acc-top5=27.885417 [Epoch 003] training: accuracy=9.257397 loss=4.615710 [Epoch 003] speed: 102 samples/sec time cost: 2541.249943 [Epoch 003] validation: acc-top1=10.471854 acc-top5=27.845613 loss=4.585893 Epoch[004] Batch [0049]/[1880] Speed: 72.841724 samples/sec accuracy=11.218750 loss=4.484825 lr=0.017617 Epoch[004] Batch [0099]/[1880] Speed: 110.324027 samples/sec accuracy=11.125000 loss=4.466764 lr=0.017726 Epoch[004] Batch [0149]/[1880] Speed: 99.874916 samples/sec accuracy=11.067708 loss=4.457122 lr=0.017836 Epoch[004] Batch [0199]/[1880] Speed: 100.070616 samples/sec accuracy=11.214844 loss=4.444312 lr=0.017946 Epoch[004] Batch [0249]/[1880] Speed: 112.142343 samples/sec accuracy=11.175000 loss=4.443660 lr=0.018056 Epoch[004] Batch [0299]/[1880] Speed: 97.696076 samples/sec accuracy=11.182292 loss=4.437542 lr=0.018166 Epoch[004] Batch [0349]/[1880] Speed: 108.836967 samples/sec accuracy=11.203125 loss=4.435579 lr=0.018275 Epoch[004] Batch [0399]/[1880] Speed: 98.187274 samples/sec accuracy=11.029297 loss=4.453188 lr=0.018385 Epoch[004] Batch [0449]/[1880] Speed: 109.529607 samples/sec accuracy=10.963542 loss=4.458388 lr=0.018495 Epoch[004] Batch [0499]/[1880] Speed: 101.261700 samples/sec accuracy=10.909375 loss=4.461275 lr=0.018605 Epoch[004] Batch [0549]/[1880] Speed: 103.930101 samples/sec accuracy=10.910511 loss=4.458099 lr=0.018714 Epoch[004] Batch [0599]/[1880] Speed: 99.150575 samples/sec accuracy=10.906250 loss=4.455699 lr=0.018824 Epoch[004] Batch [0649]/[1880] Speed: 107.343276 samples/sec accuracy=10.939904 loss=4.453857 lr=0.018934 Epoch[004] Batch [0699]/[1880] Speed: 101.378496 samples/sec accuracy=10.966518 loss=4.450107 lr=0.019044 Epoch[004] Batch [0749]/[1880] Speed: 106.080677 samples/sec accuracy=10.997917 loss=4.444894 lr=0.019153 Epoch[004] Batch [0799]/[1880] Speed: 104.313968 samples/sec accuracy=11.062500 loss=4.440806 lr=0.019263 Epoch[004] Batch [0849]/[1880] Speed: 105.534427 samples/sec accuracy=11.066176 loss=4.439777 lr=0.019373 Epoch[004] Batch [0899]/[1880] Speed: 101.723696 samples/sec accuracy=11.093750 loss=4.437508 lr=0.019483 Epoch[004] Batch [0949]/[1880] Speed: 106.159847 samples/sec accuracy=11.162829 loss=4.433672 lr=0.019593 Epoch[004] Batch [0999]/[1880] Speed: 98.895024 samples/sec accuracy=11.210156 loss=4.430273 lr=0.019702 Epoch[004] Batch [1049]/[1880] Speed: 110.014318 samples/sec accuracy=11.241815 loss=4.428336 lr=0.019812 Epoch[004] Batch [1099]/[1880] Speed: 98.095290 samples/sec accuracy=11.274858 loss=4.425683 lr=0.019922 Epoch[004] Batch [1149]/[1880] Speed: 111.155896 samples/sec accuracy=11.327446 loss=4.422263 lr=0.020032 Epoch[004] Batch [1199]/[1880] Speed: 101.745503 samples/sec accuracy=11.361328 loss=4.419128 lr=0.020141 Epoch[004] Batch [1249]/[1880] Speed: 105.342339 samples/sec accuracy=11.353750 loss=4.417798 lr=0.020251 Epoch[004] Batch [1299]/[1880] Speed: 105.096896 samples/sec accuracy=11.374399 loss=4.414639 lr=0.020361 Epoch[004] Batch [1349]/[1880] Speed: 102.256118 samples/sec accuracy=11.407986 loss=4.411835 lr=0.020471 Epoch[004] Batch [1399]/[1880] Speed: 104.472100 samples/sec accuracy=11.459263 loss=4.407731 lr=0.020580 Epoch[004] Batch [1449]/[1880] Speed: 99.437944 samples/sec accuracy=11.496767 loss=4.405432 lr=0.020690 Epoch[004] Batch [1499]/[1880] Speed: 110.342290 samples/sec accuracy=11.529687 loss=4.401446 lr=0.020800 Epoch[004] Batch [1549]/[1880] Speed: 99.144504 samples/sec accuracy=11.585181 loss=4.397933 lr=0.020910 Epoch[004] Batch [1599]/[1880] Speed: 105.647144 samples/sec accuracy=11.619629 loss=4.394920 lr=0.021020 Epoch[004] Batch [1649]/[1880] Speed: 102.301642 samples/sec accuracy=11.677083 loss=4.390426 lr=0.021129 Epoch[004] Batch [1699]/[1880] Speed: 103.257854 samples/sec accuracy=11.723346 loss=4.387877 lr=0.021239 Epoch[004] Batch [1749]/[1880] Speed: 102.120325 samples/sec accuracy=11.745089 loss=4.384985 lr=0.021349 Epoch[004] Batch [1799]/[1880] Speed: 104.957561 samples/sec accuracy=11.774740 loss=4.382245 lr=0.021459 Epoch[004] Batch [1849]/[1880] Speed: 101.698696 samples/sec accuracy=11.800676 loss=4.380381 lr=0.021568 Batch [0049]/[0151]: acc-top1=10.000000 acc-top5=26.968750 Batch [0099]/[0151]: acc-top1=12.015625 acc-top5=30.328125 Batch [0149]/[0151]: acc-top1=12.015625 acc-top5=30.161458 [Epoch 004] training: accuracy=11.832613 loss=4.378043 [Epoch 004] speed: 103 samples/sec time cost: 2539.354690 [Epoch 004] validation: acc-top1=12.018833 acc-top5=30.080712 loss=4.485386 Epoch[005] Batch [0049]/[1879] Speed: 74.312210 samples/sec accuracy=13.921875 loss=4.226377 lr=0.021744 Epoch[005] Batch [0099]/[1879] Speed: 110.779638 samples/sec accuracy=13.906250 loss=4.223187 lr=0.021854 Epoch[005] Batch [0149]/[1879] Speed: 103.771910 samples/sec accuracy=13.906250 loss=4.224252 lr=0.021964 Epoch[005] Batch [0199]/[1879] Speed: 102.790604 samples/sec accuracy=13.863281 loss=4.229143 lr=0.022073 Epoch[005] Batch [0249]/[1879] Speed: 109.431862 samples/sec accuracy=13.775000 loss=4.231170 lr=0.022183 Epoch[005] Batch [0299]/[1879] Speed: 95.167410 samples/sec accuracy=13.726562 loss=4.228838 lr=0.022293 Epoch[005] Batch 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accuracy=13.918945 loss=4.207637 lr=0.023391 Epoch[005] Batch [0849]/[1879] Speed: 99.062062 samples/sec accuracy=13.956801 loss=4.206377 lr=0.023500 Epoch[005] Batch [0899]/[1879] Speed: 106.527111 samples/sec accuracy=13.977431 loss=4.206202 lr=0.023610 Epoch[005] Batch [0949]/[1879] Speed: 100.966057 samples/sec accuracy=14.014803 loss=4.202426 lr=0.023720 Epoch[005] Batch [0999]/[1879] Speed: 106.454820 samples/sec accuracy=14.061719 loss=4.200272 lr=0.023830 Epoch[005] Batch [1049]/[1879] Speed: 102.482477 samples/sec accuracy=14.087054 loss=4.197403 lr=0.023939 Epoch[005] Batch [1099]/[1879] Speed: 107.590496 samples/sec accuracy=14.124290 loss=4.194943 lr=0.024049 Epoch[005] Batch [1149]/[1879] Speed: 101.220900 samples/sec accuracy=14.185462 loss=4.189612 lr=0.024159 Epoch[005] Batch [1199]/[1879] Speed: 103.574660 samples/sec accuracy=14.225260 loss=4.186072 lr=0.024269 Epoch[005] Batch [1249]/[1879] Speed: 106.546897 samples/sec accuracy=14.265625 loss=4.182542 lr=0.024378 Epoch[005] Batch [1299]/[1879] Speed: 102.535680 samples/sec accuracy=14.284255 loss=4.180177 lr=0.024488 Epoch[005] Batch [1349]/[1879] Speed: 106.440367 samples/sec accuracy=14.326968 loss=4.177676 lr=0.024598 Epoch[005] Batch [1399]/[1879] Speed: 103.515569 samples/sec accuracy=14.333705 loss=4.175789 lr=0.024708 Epoch[005] Batch [1449]/[1879] Speed: 103.510924 samples/sec accuracy=14.371767 loss=4.173514 lr=0.024818 Epoch[005] Batch [1499]/[1879] Speed: 103.541655 samples/sec accuracy=14.404167 loss=4.171098 lr=0.024927 Epoch[005] Batch [1549]/[1879] Speed: 105.253100 samples/sec accuracy=14.414819 loss=4.169632 lr=0.025037 Epoch[005] Batch [1599]/[1879] Speed: 104.715642 samples/sec accuracy=14.415039 loss=4.168562 lr=0.025147 Epoch[005] Batch [1649]/[1879] Speed: 107.393227 samples/sec accuracy=14.443182 loss=4.167593 lr=0.025257 Epoch[005] Batch [1699]/[1879] Speed: 102.190411 samples/sec accuracy=14.492647 loss=4.165472 lr=0.025366 Epoch[005] Batch [1749]/[1879] Speed: 103.437817 samples/sec accuracy=14.529018 loss=4.162125 lr=0.025476 Epoch[005] Batch [1799]/[1879] Speed: 108.258216 samples/sec accuracy=14.555990 loss=4.159782 lr=0.025586 Epoch[005] Batch [1849]/[1879] Speed: 98.336642 samples/sec accuracy=14.591216 loss=4.156797 lr=0.025696 Batch [0049]/[0151]: acc-top1=14.546875 acc-top5=35.437500 Batch [0099]/[0151]: acc-top1=16.515625 acc-top5=37.765625 Batch [0149]/[0151]: acc-top1=15.604167 acc-top5=36.921875 [Epoch 005] training: accuracy=14.604677 loss=4.155430 [Epoch 005] speed: 103 samples/sec time cost: 2525.658774 [Epoch 005] validation: acc-top1=15.619826 acc-top5=36.863618 loss=4.095913 Epoch[006] Batch [0049]/[1880] Speed: 74.920925 samples/sec accuracy=17.031250 loss=4.020026 lr=0.025869 Epoch[006] Batch [0099]/[1880] Speed: 107.057557 samples/sec accuracy=16.515625 loss=4.065490 lr=0.025979 Epoch[006] Batch [0149]/[1880] Speed: 103.874912 samples/sec accuracy=16.546875 loss=4.043749 lr=0.026089 Epoch[006] Batch [0199]/[1880] Speed: 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loss=4.004604 lr=0.027186 Epoch[006] Batch [0699]/[1880] Speed: 111.105904 samples/sec accuracy=16.812500 loss=4.004395 lr=0.027296 Epoch[006] Batch [0749]/[1880] Speed: 101.381410 samples/sec accuracy=16.825000 loss=4.004823 lr=0.027406 Epoch[006] Batch [0799]/[1880] Speed: 104.127495 samples/sec accuracy=16.798828 loss=4.005472 lr=0.027516 Epoch[006] Batch [0849]/[1880] Speed: 99.494133 samples/sec accuracy=16.781250 loss=4.003898 lr=0.027625 Epoch[006] Batch [0899]/[1880] Speed: 105.306517 samples/sec accuracy=16.838542 loss=4.001862 lr=0.027735 Epoch[006] Batch [0949]/[1880] Speed: 105.621507 samples/sec accuracy=16.856086 loss=3.999820 lr=0.027845 Epoch[006] Batch [0999]/[1880] Speed: 100.909370 samples/sec accuracy=16.840625 loss=3.999197 lr=0.027955 Epoch[006] Batch [1049]/[1880] Speed: 106.812973 samples/sec accuracy=16.845238 loss=3.997565 lr=0.028064 Epoch[006] Batch [1099]/[1880] Speed: 100.551565 samples/sec accuracy=16.864347 loss=3.996693 lr=0.028174 Epoch[006] Batch [1149]/[1880] Speed: 106.074922 samples/sec accuracy=16.888587 loss=3.993723 lr=0.028284 Epoch[006] Batch [1199]/[1880] Speed: 105.799115 samples/sec accuracy=16.915365 loss=3.991870 lr=0.028394 Epoch[006] Batch [1249]/[1880] Speed: 104.836888 samples/sec accuracy=16.962500 loss=3.988880 lr=0.028504 Epoch[006] Batch [1299]/[1880] Speed: 100.590388 samples/sec accuracy=17.007812 loss=3.987648 lr=0.028613 Epoch[006] Batch [1349]/[1880] Speed: 108.130344 samples/sec accuracy=17.037037 loss=3.986171 lr=0.028723 Epoch[006] Batch [1399]/[1880] Speed: 95.912799 samples/sec accuracy=17.020089 loss=3.986163 lr=0.028833 Epoch[006] Batch [1449]/[1880] Speed: 110.994920 samples/sec accuracy=16.988685 loss=3.988307 lr=0.028943 Epoch[006] Batch [1499]/[1880] Speed: 96.539801 samples/sec accuracy=16.967188 loss=3.989740 lr=0.029052 Epoch[006] Batch [1549]/[1880] Speed: 111.547048 samples/sec accuracy=16.958165 loss=3.989958 lr=0.029162 Epoch[006] Batch [1599]/[1880] Speed: 110.401573 samples/sec accuracy=16.968262 loss=3.990363 lr=0.029272 Epoch[006] Batch [1649]/[1880] Speed: 95.681459 samples/sec accuracy=16.963542 loss=3.990454 lr=0.029382 Epoch[006] Batch [1699]/[1880] Speed: 110.812011 samples/sec accuracy=16.947151 loss=3.991131 lr=0.029491 Epoch[006] Batch [1749]/[1880] Speed: 95.334238 samples/sec accuracy=16.937054 loss=3.991106 lr=0.029601 Epoch[006] Batch [1799]/[1880] Speed: 109.493262 samples/sec accuracy=16.917101 loss=3.993733 lr=0.029711 Epoch[006] Batch [1849]/[1880] Speed: 98.880968 samples/sec accuracy=16.953970 loss=3.992634 lr=0.029821 Batch [0049]/[0151]: acc-top1=14.734375 acc-top5=37.171875 Batch [0099]/[0151]: acc-top1=17.289062 acc-top5=39.679688 Batch [0149]/[0151]: acc-top1=16.687500 acc-top5=39.130208 [Epoch 006] training: accuracy=16.954372 loss=3.993148 [Epoch 006] speed: 103 samples/sec time cost: 2535.531886 [Epoch 006] validation: acc-top1=16.752897 acc-top5=39.098717 loss=4.256798 Epoch[007] Batch [0049]/[1880] Speed: 74.554590 samples/sec accuracy=17.578125 loss=3.947057 lr=0.029996 Epoch[007] Batch [0099]/[1880] Speed: 107.439777 samples/sec accuracy=17.171875 loss=3.972115 lr=0.030106 Epoch[007] Batch [0149]/[1880] Speed: 100.881549 samples/sec accuracy=17.557292 loss=3.968475 lr=0.030216 Epoch[007] Batch [0199]/[1880] Speed: 101.992518 samples/sec accuracy=17.566406 loss=3.958338 lr=0.030326 Epoch[007] Batch [0249]/[1880] Speed: 106.691892 samples/sec accuracy=17.896875 loss=3.938760 lr=0.030435 Epoch[007] Batch [0299]/[1880] Speed: 101.376562 samples/sec accuracy=17.914062 loss=3.937559 lr=0.030545 Epoch[007] Batch [0349]/[1880] Speed: 107.269406 samples/sec accuracy=18.004464 loss=3.930302 lr=0.030655 Epoch[007] Batch [0399]/[1880] Speed: 101.076365 samples/sec accuracy=18.029297 loss=3.928569 lr=0.030765 Epoch[007] Batch [0449]/[1880] Speed: 104.656156 samples/sec accuracy=18.210069 loss=3.918849 lr=0.030875 Epoch[007] Batch [0499]/[1880] Speed: 106.306952 samples/sec accuracy=18.337500 loss=3.908885 lr=0.030984 Epoch[007] Batch [0549]/[1880] Speed: 100.329644 samples/sec accuracy=18.370739 loss=3.909467 lr=0.031094 Epoch[007] Batch [0599]/[1880] Speed: 106.496580 samples/sec accuracy=18.419271 loss=3.903590 lr=0.031204 Epoch[007] Batch [0649]/[1880] Speed: 98.126086 samples/sec accuracy=18.451923 loss=3.900069 lr=0.031314 Epoch[007] Batch [0699]/[1880] Speed: 109.825893 samples/sec accuracy=18.520089 loss=3.895666 lr=0.031423 Epoch[007] Batch [0749]/[1880] Speed: 101.029341 samples/sec accuracy=18.601042 loss=3.890394 lr=0.031533 Epoch[007] Batch [0799]/[1880] Speed: 107.629008 samples/sec accuracy=18.634766 loss=3.888684 lr=0.031643 Epoch[007] Batch [0849]/[1880] Speed: 100.126897 samples/sec accuracy=18.675551 loss=3.887088 lr=0.031753 Epoch[007] Batch [0899]/[1880] Speed: 102.222636 samples/sec accuracy=18.684896 loss=3.884793 lr=0.031862 Epoch[007] Batch [0949]/[1880] Speed: 107.507092 samples/sec accuracy=18.684211 loss=3.885555 lr=0.031972 Epoch[007] Batch [0999]/[1880] Speed: 103.106110 samples/sec accuracy=18.705469 loss=3.883554 lr=0.032082 Epoch[007] Batch [1049]/[1880] Speed: 109.682141 samples/sec accuracy=18.695685 loss=3.885056 lr=0.032192 Epoch[007] Batch [1099]/[1880] Speed: 101.128057 samples/sec accuracy=18.726562 loss=3.882395 lr=0.032302 Epoch[007] Batch [1149]/[1880] Speed: 104.911895 samples/sec accuracy=18.758832 loss=3.880369 lr=0.032411 Epoch[007] Batch [1199]/[1880] Speed: 103.453986 samples/sec accuracy=18.813802 loss=3.875103 lr=0.032521 Epoch[007] Batch [1249]/[1880] Speed: 104.266068 samples/sec accuracy=18.833125 loss=3.873091 lr=0.032631 Epoch[007] Batch [1299]/[1880] Speed: 105.105253 samples/sec accuracy=18.780649 loss=3.875125 lr=0.032741 Epoch[007] Batch [1349]/[1880] Speed: 102.543341 samples/sec accuracy=18.775463 loss=3.874470 lr=0.032850 Epoch[007] Batch [1399]/[1880] Speed: 104.357154 samples/sec accuracy=18.770647 loss=3.874917 lr=0.032960 Epoch[007] Batch [1449]/[1880] Speed: 102.269670 samples/sec accuracy=18.788793 loss=3.874313 lr=0.033070 Epoch[007] Batch [1499]/[1880] Speed: 101.675966 samples/sec accuracy=18.773958 loss=3.875189 lr=0.033180 Epoch[007] Batch [1549]/[1880] Speed: 106.379739 samples/sec accuracy=18.782762 loss=3.874465 lr=0.033289 Epoch[007] Batch [1599]/[1880] Speed: 101.830764 samples/sec accuracy=18.807129 loss=3.873002 lr=0.033399 Epoch[007] Batch [1649]/[1880] Speed: 108.539581 samples/sec accuracy=18.831913 loss=3.871482 lr=0.033509 Epoch[007] Batch [1699]/[1880] Speed: 101.583831 samples/sec accuracy=18.862132 loss=3.869889 lr=0.033619 Epoch[007] Batch [1749]/[1880] Speed: 105.148494 samples/sec accuracy=18.858482 loss=3.869613 lr=0.033729 Epoch[007] Batch [1799]/[1880] Speed: 104.651444 samples/sec accuracy=18.879340 loss=3.867805 lr=0.033838 Epoch[007] Batch [1849]/[1880] Speed: 99.741156 samples/sec accuracy=18.864020 loss=3.868150 lr=0.033948 Batch [0049]/[0151]: acc-top1=16.531250 acc-top5=38.515625 Batch [0099]/[0151]: acc-top1=18.945312 acc-top5=41.757812 Batch [0149]/[0151]: acc-top1=18.911458 acc-top5=42.473958 [Epoch 007] training: accuracy=18.870512 loss=3.867510 [Epoch 007] speed: 103 samples/sec time cost: 2531.572660 [Epoch 007] validation: acc-top1=18.956954 acc-top5=42.477235 loss=3.876963 Epoch[008] Batch [0049]/[1880] Speed: 73.140090 samples/sec accuracy=20.875000 loss=3.780884 lr=0.034124 Epoch[008] Batch [0099]/[1880] Speed: 106.710935 samples/sec accuracy=20.898438 loss=3.761118 lr=0.034233 Epoch[008] Batch [0149]/[1880] Speed: 100.586703 samples/sec accuracy=20.562500 loss=3.774537 lr=0.034343 Epoch[008] Batch [0199]/[1880] Speed: 105.930569 samples/sec accuracy=20.492188 loss=3.766231 lr=0.034453 Epoch[008] Batch [0249]/[1880] Speed: 102.930742 samples/sec accuracy=20.503125 loss=3.761403 lr=0.034563 Epoch[008] Batch [0299]/[1880] Speed: 102.235139 samples/sec accuracy=20.570312 loss=3.761698 lr=0.034673 Epoch[008] Batch [0349]/[1880] Speed: 110.041651 samples/sec accuracy=20.616071 loss=3.760450 lr=0.034782 Epoch[008] Batch 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accuracy=20.708640 loss=3.749265 lr=0.035880 Epoch[008] Batch [0899]/[1880] Speed: 106.051191 samples/sec accuracy=20.683160 loss=3.747620 lr=0.035990 Epoch[008] Batch [0949]/[1880] Speed: 110.694655 samples/sec accuracy=20.667763 loss=3.747966 lr=0.036100 Epoch[008] Batch [0999]/[1880] Speed: 97.790065 samples/sec accuracy=20.664062 loss=3.748037 lr=0.036209 Epoch[008] Batch [1049]/[1880] Speed: 106.004225 samples/sec accuracy=20.701637 loss=3.745368 lr=0.036319 Epoch[008] Batch [1099]/[1880] Speed: 97.094930 samples/sec accuracy=20.703125 loss=3.744602 lr=0.036429 Epoch[008] Batch [1149]/[1880] Speed: 110.719904 samples/sec accuracy=20.722147 loss=3.742941 lr=0.036539 Epoch[008] Batch [1199]/[1880] Speed: 102.543677 samples/sec accuracy=20.729818 loss=3.742392 lr=0.036648 Epoch[008] Batch [1249]/[1880] Speed: 105.572842 samples/sec accuracy=20.756875 loss=3.740348 lr=0.036758 Epoch[008] Batch [1299]/[1880] Speed: 101.652941 samples/sec accuracy=20.803486 loss=3.738588 lr=0.036868 Epoch[008] Batch [1349]/[1880] Speed: 102.527621 samples/sec accuracy=20.807292 loss=3.738331 lr=0.036978 Epoch[008] Batch [1399]/[1880] Speed: 108.889708 samples/sec accuracy=20.851004 loss=3.735963 lr=0.037087 Epoch[008] Batch [1449]/[1880] Speed: 96.939685 samples/sec accuracy=20.885237 loss=3.734951 lr=0.037197 Epoch[008] Batch [1499]/[1880] Speed: 110.311400 samples/sec accuracy=20.891667 loss=3.733916 lr=0.037307 Epoch[008] Batch [1549]/[1880] Speed: 98.236860 samples/sec accuracy=20.879536 loss=3.732943 lr=0.037417 Epoch[008] Batch [1599]/[1880] Speed: 105.718706 samples/sec accuracy=20.922852 loss=3.730662 lr=0.037526 Epoch[008] Batch [1649]/[1880] Speed: 99.319204 samples/sec accuracy=20.920455 loss=3.730987 lr=0.037636 Epoch[008] Batch [1699]/[1880] Speed: 109.045029 samples/sec accuracy=20.925551 loss=3.730555 lr=0.037746 Epoch[008] Batch [1749]/[1880] Speed: 104.191063 samples/sec accuracy=20.906250 loss=3.732165 lr=0.037856 Epoch[008] Batch [1799]/[1880] Speed: 100.482687 samples/sec accuracy=20.932726 loss=3.729756 lr=0.037966 Epoch[008] Batch [1849]/[1880] Speed: 106.075262 samples/sec accuracy=20.946791 loss=3.728444 lr=0.038075 Batch [0049]/[0151]: acc-top1=18.203125 acc-top5=41.500000 Batch [0099]/[0151]: acc-top1=21.062500 acc-top5=44.453125 Batch [0149]/[0151]: acc-top1=20.536458 acc-top5=44.666667 [Epoch 008] training: accuracy=20.965342 loss=3.727185 [Epoch 008] speed: 103 samples/sec time cost: 2540.855117 [Epoch 008] validation: acc-top1=20.555671 acc-top5=44.582988 loss=3.804106 Epoch[009] Batch [0049]/[1880] Speed: 74.865080 samples/sec accuracy=22.968750 loss=3.624306 lr=0.038251 Epoch[009] Batch [0099]/[1880] Speed: 104.589008 samples/sec accuracy=22.640625 loss=3.613242 lr=0.038361 Epoch[009] Batch [0149]/[1880] Speed: 102.721044 samples/sec accuracy=22.406250 loss=3.626906 lr=0.038470 Epoch[009] Batch [0199]/[1880] Speed: 102.355601 samples/sec accuracy=22.496094 loss=3.627251 lr=0.038580 Epoch[009] Batch [0249]/[1880] Speed: 109.546604 samples/sec accuracy=22.375000 loss=3.632697 lr=0.038690 Epoch[009] Batch [0299]/[1880] Speed: 101.457757 samples/sec accuracy=22.273438 loss=3.635866 lr=0.038800 Epoch[009] Batch [0349]/[1880] Speed: 105.073837 samples/sec accuracy=22.171875 loss=3.639928 lr=0.038910 Epoch[009] Batch [0399]/[1880] Speed: 98.452374 samples/sec accuracy=22.232422 loss=3.640341 lr=0.039019 Epoch[009] Batch [0449]/[1880] Speed: 109.814193 samples/sec accuracy=22.178819 loss=3.642142 lr=0.039129 Epoch[009] Batch [0499]/[1880] Speed: 100.424115 samples/sec accuracy=22.273438 loss=3.638820 lr=0.039239 Epoch[009] Batch [0549]/[1880] Speed: 105.479239 samples/sec accuracy=22.250000 loss=3.640190 lr=0.039349 Epoch[009] Batch [0599]/[1880] Speed: 103.444184 samples/sec accuracy=22.333333 loss=3.638015 lr=0.039458 Epoch[009] Batch [0649]/[1880] Speed: 103.748349 samples/sec accuracy=22.342548 loss=3.638144 lr=0.039568 Epoch[009] Batch [0699]/[1880] Speed: 107.672193 samples/sec accuracy=22.481027 loss=3.630931 lr=0.039678 Epoch[009] Batch [0749]/[1880] Speed: 104.746237 samples/sec accuracy=22.570833 loss=3.627382 lr=0.039788 Epoch[009] Batch [0799]/[1880] Speed: 105.594009 samples/sec accuracy=22.575195 loss=3.627354 lr=0.039897 Epoch[009] Batch [0849]/[1880] Speed: 101.089731 samples/sec accuracy=22.552390 loss=3.630344 lr=0.040007 Epoch[009] Batch [0899]/[1880] Speed: 101.766303 samples/sec accuracy=22.546875 loss=3.631266 lr=0.040117 Epoch[009] Batch [0949]/[1880] Speed: 108.542727 samples/sec accuracy=22.509868 loss=3.631372 lr=0.040227 Epoch[009] Batch [0999]/[1880] Speed: 101.173585 samples/sec accuracy=22.532812 loss=3.631978 lr=0.040337 Epoch[009] Batch [1049]/[1880] Speed: 108.048933 samples/sec accuracy=22.559524 loss=3.630166 lr=0.040446 Epoch[009] Batch [1099]/[1880] Speed: 97.482273 samples/sec accuracy=22.558949 loss=3.628663 lr=0.040556 Epoch[009] Batch [1149]/[1880] Speed: 113.614361 samples/sec accuracy=22.574728 loss=3.627302 lr=0.040666 Epoch[009] Batch [1199]/[1880] Speed: 99.574460 samples/sec accuracy=22.610677 loss=3.625137 lr=0.040776 Epoch[009] Batch [1249]/[1880] Speed: 106.033988 samples/sec accuracy=22.599375 loss=3.623850 lr=0.040885 Epoch[009] Batch [1299]/[1880] Speed: 106.359340 samples/sec accuracy=22.563101 loss=3.625742 lr=0.040995 Epoch[009] Batch [1349]/[1880] Speed: 99.076502 samples/sec accuracy=22.616319 loss=3.624676 lr=0.041105 Epoch[009] Batch [1399]/[1880] Speed: 110.861156 samples/sec accuracy=22.666295 loss=3.623724 lr=0.041215 Epoch[009] Batch [1449]/[1880] Speed: 104.976391 samples/sec accuracy=22.669181 loss=3.621711 lr=0.041324 Epoch[009] Batch [1499]/[1880] Speed: 102.446772 samples/sec accuracy=22.689583 loss=3.619393 lr=0.041434 Epoch[009] Batch [1549]/[1880] Speed: 105.722281 samples/sec accuracy=22.731855 loss=3.617914 lr=0.041544 Epoch[009] Batch [1599]/[1880] Speed: 100.588958 samples/sec accuracy=22.762695 loss=3.615483 lr=0.041654 Epoch[009] Batch [1649]/[1880] Speed: 107.396125 samples/sec accuracy=22.804451 loss=3.613317 lr=0.041764 Epoch[009] Batch [1699]/[1880] Speed: 102.811247 samples/sec accuracy=22.810662 loss=3.612386 lr=0.041873 Epoch[009] Batch [1749]/[1880] Speed: 110.566624 samples/sec accuracy=22.817857 loss=3.611761 lr=0.041983 Epoch[009] Batch [1799]/[1880] Speed: 98.224867 samples/sec accuracy=22.839410 loss=3.610350 lr=0.042093 Epoch[009] Batch [1849]/[1880] Speed: 113.455623 samples/sec accuracy=22.850929 loss=3.608956 lr=0.042203 Batch [0049]/[0151]: acc-top1=21.546875 acc-top5=45.937500 Batch [0099]/[0151]: acc-top1=25.414062 acc-top5=50.132812 Batch [0149]/[0151]: acc-top1=24.802083 acc-top5=50.348958 [Epoch 009] training: accuracy=22.871509 loss=3.607795 [Epoch 009] speed: 103 samples/sec time cost: 2524.773469 [Epoch 009] validation: acc-top1=24.772351 acc-top5=50.269040 loss=3.471402 Epoch[010] Batch [0049]/[1880] Speed: 74.079370 samples/sec accuracy=24.828125 loss=3.506175 lr=0.042378 Epoch[010] Batch [0099]/[1880] Speed: 107.608109 samples/sec accuracy=24.117188 loss=3.534747 lr=0.042488 Epoch[010] Batch [0149]/[1880] Speed: 102.324476 samples/sec accuracy=24.421875 loss=3.512963 lr=0.042598 Epoch[010] Batch [0199]/[1880] Speed: 103.327901 samples/sec accuracy=24.214844 loss=3.508817 lr=0.042708 Epoch[010] Batch [0249]/[1880] Speed: 108.510683 samples/sec accuracy=24.171875 loss=3.511065 lr=0.042817 Epoch[010] Batch [0299]/[1880] Speed: 97.491800 samples/sec accuracy=24.062500 loss=3.524169 lr=0.042927 Epoch[010] Batch [0349]/[1880] Speed: 112.757504 samples/sec accuracy=24.008929 loss=3.525832 lr=0.043037 Epoch[010] Batch [0399]/[1880] Speed: 98.218845 samples/sec accuracy=24.107422 loss=3.523436 lr=0.043147 Epoch[010] Batch [0449]/[1880] Speed: 106.764026 samples/sec accuracy=24.194444 loss=3.518358 lr=0.043256 Epoch[010] Batch [0499]/[1880] Speed: 101.081554 samples/sec accuracy=24.251563 loss=3.513997 lr=0.043366 Epoch[010] Batch [0549]/[1880] Speed: 103.585297 samples/sec accuracy=24.282670 loss=3.512684 lr=0.043476 Epoch[010] Batch [0599]/[1880] Speed: 109.653070 samples/sec accuracy=24.307292 loss=3.511834 lr=0.043586 Epoch[010] Batch [0649]/[1880] Speed: 98.702956 samples/sec accuracy=24.346154 loss=3.507289 lr=0.043695 Epoch[010] Batch [0699]/[1880] Speed: 108.192285 samples/sec accuracy=24.323661 loss=3.507319 lr=0.043805 Epoch[010] Batch [0749]/[1880] Speed: 102.627366 samples/sec accuracy=24.390625 loss=3.505028 lr=0.043915 Epoch[010] Batch [0799]/[1880] Speed: 107.197469 samples/sec accuracy=24.338867 loss=3.505581 lr=0.044025 Epoch[010] Batch [0849]/[1880] Speed: 103.865624 samples/sec accuracy=24.347426 loss=3.507441 lr=0.044135 Epoch[010] Batch [0899]/[1880] Speed: 99.341073 samples/sec accuracy=24.357639 loss=3.507133 lr=0.044244 Epoch[010] Batch [0949]/[1880] Speed: 111.396856 samples/sec accuracy=24.377467 loss=3.507105 lr=0.044354 Epoch[010] Batch [0999]/[1880] Speed: 98.692936 samples/sec accuracy=24.413281 loss=3.505011 lr=0.044464 Epoch[010] Batch [1049]/[1880] Speed: 107.423746 samples/sec accuracy=24.467262 loss=3.504215 lr=0.044574 Epoch[010] Batch [1099]/[1880] Speed: 105.198807 samples/sec accuracy=24.551136 loss=3.501850 lr=0.044683 Epoch[010] Batch [1149]/[1880] Speed: 102.066228 samples/sec accuracy=24.565897 loss=3.500548 lr=0.044793 Epoch[010] Batch [1199]/[1880] Speed: 105.819139 samples/sec accuracy=24.630208 loss=3.499793 lr=0.044903 Epoch[010] Batch [1249]/[1880] Speed: 106.794935 samples/sec accuracy=24.645000 loss=3.498965 lr=0.045013 Epoch[010] Batch [1299]/[1880] Speed: 100.031325 samples/sec accuracy=24.662260 loss=3.497780 lr=0.045122 Epoch[010] Batch [1349]/[1880] Speed: 108.307179 samples/sec accuracy=24.699653 loss=3.495329 lr=0.045232 Epoch[010] Batch [1399]/[1880] Speed: 101.587199 samples/sec accuracy=24.718750 loss=3.494214 lr=0.045342 Epoch[010] Batch [1449]/[1880] Speed: 105.451083 samples/sec accuracy=24.728448 loss=3.492436 lr=0.045452 Epoch[010] Batch [1499]/[1880] Speed: 103.921147 samples/sec accuracy=24.754687 loss=3.490457 lr=0.045562 Epoch[010] Batch [1549]/[1880] Speed: 105.194628 samples/sec accuracy=24.767137 loss=3.489587 lr=0.045671 Epoch[010] Batch [1599]/[1880] Speed: 104.398176 samples/sec accuracy=24.789551 loss=3.488730 lr=0.045781 Epoch[010] Batch [1649]/[1880] Speed: 104.920472 samples/sec accuracy=24.812973 loss=3.488743 lr=0.045891 Epoch[010] Batch [1699]/[1880] Speed: 107.335824 samples/sec accuracy=24.839614 loss=3.487031 lr=0.046001 Epoch[010] Batch [1749]/[1880] Speed: 102.338990 samples/sec accuracy=24.856250 loss=3.486109 lr=0.046110 Epoch[010] Batch [1799]/[1880] Speed: 111.238446 samples/sec accuracy=24.874566 loss=3.484909 lr=0.046220 Epoch[010] Batch [1849]/[1880] Speed: 99.967111 samples/sec accuracy=24.908784 loss=3.484273 lr=0.046330 Batch [0049]/[0151]: acc-top1=22.609375 acc-top5=45.703125 Batch [0099]/[0151]: acc-top1=25.390625 acc-top5=49.187500 Batch [0149]/[0151]: acc-top1=24.953125 acc-top5=49.083333 [Epoch 010] training: accuracy=24.894033 loss=3.484145 [Epoch 010] speed: 103 samples/sec time cost: 2520.122947 [Epoch 010] validation: acc-top1=24.968957 acc-top5=49.068709 loss=3.541537 Epoch[011] Batch [0049]/[1879] Speed: 73.753964 samples/sec accuracy=25.734375 loss=3.392953 lr=0.046506 Epoch[011] Batch [0099]/[1879] Speed: 105.919179 samples/sec accuracy=25.664062 loss=3.398575 lr=0.046615 Epoch[011] Batch [0149]/[1879] Speed: 105.429664 samples/sec accuracy=25.958333 loss=3.413229 lr=0.046725 Epoch[011] Batch [0199]/[1879] Speed: 99.542331 samples/sec accuracy=25.792969 loss=3.424460 lr=0.046835 Epoch[011] Batch [0249]/[1879] Speed: 107.845601 samples/sec accuracy=25.868750 loss=3.424785 lr=0.046945 Epoch[011] Batch [0299]/[1879] Speed: 107.258584 samples/sec accuracy=25.924479 loss=3.424392 lr=0.047054 Epoch[011] Batch [0349]/[1879] Speed: 102.143301 samples/sec accuracy=25.928571 loss=3.424339 lr=0.047164 Epoch[011] Batch [0399]/[1879] Speed: 104.668698 samples/sec accuracy=25.902344 loss=3.420536 lr=0.047274 Epoch[011] Batch [0449]/[1879] Speed: 100.771679 samples/sec accuracy=25.913194 loss=3.424805 lr=0.047384 Epoch[011] Batch [0499]/[1879] Speed: 104.015596 samples/sec accuracy=25.800000 loss=3.431206 lr=0.047493 Epoch[011] Batch [0549]/[1879] Speed: 108.412140 samples/sec accuracy=25.717330 loss=3.435740 lr=0.047603 Epoch[011] Batch [0599]/[1879] Speed: 104.871153 samples/sec accuracy=25.730469 loss=3.432259 lr=0.047713 Epoch[011] Batch [0649]/[1879] Speed: 108.206303 samples/sec accuracy=25.663462 loss=3.432854 lr=0.047823 Epoch[011] Batch [0699]/[1879] Speed: 100.108480 samples/sec accuracy=25.676339 loss=3.430016 lr=0.047933 Epoch[011] Batch [0749]/[1879] Speed: 107.382823 samples/sec accuracy=25.734375 loss=3.425631 lr=0.048042 Epoch[011] Batch [0799]/[1879] Speed: 101.913086 samples/sec accuracy=25.766602 loss=3.423095 lr=0.048152 Epoch[011] Batch [0849]/[1879] Speed: 105.985550 samples/sec accuracy=25.747243 loss=3.424744 lr=0.048262 Epoch[011] Batch [0899]/[1879] Speed: 102.891909 samples/sec accuracy=25.773438 loss=3.423962 lr=0.048372 Epoch[011] Batch [0949]/[1879] Speed: 101.812854 samples/sec accuracy=25.869243 loss=3.417764 lr=0.048481 Epoch[011] Batch [0999]/[1879] Speed: 111.086242 samples/sec accuracy=25.934375 loss=3.414121 lr=0.048591 Epoch[011] Batch [1049]/[1879] Speed: 95.331332 samples/sec accuracy=25.924851 loss=3.414727 lr=0.048701 Epoch[011] Batch [1099]/[1879] Speed: 109.906611 samples/sec accuracy=25.987926 loss=3.411275 lr=0.048811 Epoch[011] Batch [1149]/[1879] Speed: 103.335606 samples/sec accuracy=26.025136 loss=3.408916 lr=0.048920 Epoch[011] Batch [1199]/[1879] Speed: 104.179851 samples/sec accuracy=26.011068 loss=3.409692 lr=0.049030 Epoch[011] Batch [1249]/[1879] Speed: 103.713901 samples/sec accuracy=26.072500 loss=3.406976 lr=0.049140 Epoch[011] Batch [1299]/[1879] Speed: 108.071424 samples/sec accuracy=26.072716 loss=3.407086 lr=0.049250 Epoch[011] Batch [1349]/[1879] Speed: 102.736523 samples/sec accuracy=26.087963 loss=3.405010 lr=0.049360 Epoch[011] Batch [1399]/[1879] Speed: 106.072379 samples/sec accuracy=26.130580 loss=3.403749 lr=0.049469 Epoch[011] Batch [1449]/[1879] Speed: 98.488929 samples/sec accuracy=26.147091 loss=3.403646 lr=0.049579 Epoch[011] Batch [1499]/[1879] Speed: 113.778454 samples/sec accuracy=26.155208 loss=3.403356 lr=0.049689 Epoch[011] Batch [1549]/[1879] Speed: 95.446589 samples/sec accuracy=26.186492 loss=3.402890 lr=0.049799 Epoch[011] Batch [1599]/[1879] Speed: 111.788502 samples/sec accuracy=26.213379 loss=3.402282 lr=0.049908 Epoch[011] Batch [1649]/[1879] Speed: 101.038680 samples/sec accuracy=26.224432 loss=3.399829 lr=0.050018 Epoch[011] Batch [1699]/[1879] Speed: 109.713158 samples/sec accuracy=26.237592 loss=3.398402 lr=0.050128 Epoch[011] Batch [1749]/[1879] Speed: 101.908121 samples/sec accuracy=26.243750 loss=3.397750 lr=0.050238 Epoch[011] Batch [1799]/[1879] Speed: 104.512711 samples/sec accuracy=26.270833 loss=3.395728 lr=0.050347 Epoch[011] Batch [1849]/[1879] Speed: 105.296496 samples/sec accuracy=26.269003 loss=3.395462 lr=0.050457 Batch [0049]/[0151]: acc-top1=23.453125 acc-top5=47.750000 Batch [0099]/[0151]: acc-top1=27.390625 acc-top5=52.664062 Batch [0149]/[0151]: acc-top1=26.598958 acc-top5=52.583333 [Epoch 011] training: accuracy=26.288917 loss=3.394796 [Epoch 011] speed: 103 samples/sec time cost: 2518.038162 [Epoch 011] validation: acc-top1=26.588369 acc-top5=52.592094 loss=3.428294 Epoch[012] Batch [0049]/[1880] Speed: 73.668734 samples/sec accuracy=27.156250 loss=3.306701 lr=0.050631 Epoch[012] Batch [0099]/[1880] Speed: 110.289186 samples/sec accuracy=26.679688 loss=3.327997 lr=0.050740 Epoch[012] Batch [0149]/[1880] Speed: 99.706743 samples/sec accuracy=27.010417 loss=3.325110 lr=0.050850 Epoch[012] Batch [0199]/[1880] Speed: 102.447309 samples/sec accuracy=27.144531 loss=3.325210 lr=0.050960 Epoch[012] Batch [0249]/[1880] Speed: 112.522995 samples/sec accuracy=27.215625 loss=3.328920 lr=0.051070 Epoch[012] Batch [0299]/[1880] Speed: 99.875861 samples/sec accuracy=27.226562 loss=3.327285 lr=0.051179 Epoch[012] Batch [0349]/[1880] Speed: 104.776989 samples/sec accuracy=27.430804 loss=3.324140 lr=0.051289 Epoch[012] Batch [0399]/[1880] Speed: 106.940598 samples/sec accuracy=27.353516 loss=3.325267 lr=0.051399 Epoch[012] Batch [0449]/[1880] Speed: 98.567083 samples/sec accuracy=27.491319 loss=3.320182 lr=0.051509 Epoch[012] Batch [0499]/[1880] Speed: 112.028688 samples/sec accuracy=27.581250 loss=3.319062 lr=0.051619 Epoch[012] Batch [0549]/[1880] Speed: 98.792663 samples/sec accuracy=27.590909 loss=3.318268 lr=0.051728 Epoch[012] Batch [0599]/[1880] Speed: 108.737289 samples/sec accuracy=27.609375 loss=3.321135 lr=0.051838 Epoch[012] Batch [0649]/[1880] Speed: 106.069633 samples/sec accuracy=27.614183 loss=3.323975 lr=0.051948 Epoch[012] Batch [0699]/[1880] Speed: 100.605630 samples/sec accuracy=27.607143 loss=3.322951 lr=0.052058 Epoch[012] Batch [0749]/[1880] Speed: 109.179805 samples/sec accuracy=27.685417 loss=3.318201 lr=0.052167 Epoch[012] Batch [0799]/[1880] Speed: 98.108426 samples/sec accuracy=27.711914 loss=3.315995 lr=0.052277 Epoch[012] Batch [0849]/[1880] Speed: 112.122850 samples/sec accuracy=27.702206 loss=3.315943 lr=0.052387 Epoch[012] Batch [0899]/[1880] Speed: 98.991589 samples/sec accuracy=27.642361 loss=3.318175 lr=0.052497 Epoch[012] Batch [0949]/[1880] Speed: 109.286719 samples/sec accuracy=27.689145 loss=3.315652 lr=0.052606 Epoch[012] Batch [0999]/[1880] Speed: 106.291502 samples/sec accuracy=27.690625 loss=3.315792 lr=0.052716 Epoch[012] Batch [1049]/[1880] Speed: 102.803914 samples/sec accuracy=27.703125 loss=3.316233 lr=0.052826 Epoch[012] Batch [1099]/[1880] Speed: 108.284635 samples/sec accuracy=27.699574 loss=3.316921 lr=0.052936 Epoch[012] Batch [1149]/[1880] Speed: 100.233852 samples/sec accuracy=27.741848 loss=3.315154 lr=0.053046 Epoch[012] Batch [1199]/[1880] Speed: 107.648444 samples/sec accuracy=27.762370 loss=3.314817 lr=0.053155 Epoch[012] Batch [1249]/[1880] Speed: 103.644240 samples/sec accuracy=27.733125 loss=3.316168 lr=0.053265 Epoch[012] Batch [1299]/[1880] Speed: 106.117396 samples/sec accuracy=27.724159 loss=3.317080 lr=0.053375 Epoch[012] Batch [1349]/[1880] Speed: 106.962174 samples/sec accuracy=27.770833 loss=3.314749 lr=0.053485 Epoch[012] Batch [1399]/[1880] Speed: 102.885366 samples/sec accuracy=27.784040 loss=3.313694 lr=0.053594 Epoch[012] Batch [1449]/[1880] Speed: 103.930237 samples/sec accuracy=27.805496 loss=3.312192 lr=0.053704 Epoch[012] Batch [1499]/[1880] Speed: 102.034510 samples/sec accuracy=27.800521 loss=3.312147 lr=0.053814 Epoch[012] Batch [1549]/[1880] Speed: 108.180211 samples/sec accuracy=27.821069 loss=3.311188 lr=0.053924 Epoch[012] Batch [1599]/[1880] Speed: 105.846977 samples/sec accuracy=27.842773 loss=3.309083 lr=0.054033 Epoch[012] Batch [1649]/[1880] Speed: 104.969246 samples/sec accuracy=27.889205 loss=3.306364 lr=0.054143 Epoch[012] Batch [1699]/[1880] Speed: 100.419218 samples/sec accuracy=27.940257 loss=3.305751 lr=0.054253 Epoch[012] Batch [1749]/[1880] Speed: 106.506827 samples/sec accuracy=27.941071 loss=3.305897 lr=0.054363 Epoch[012] Batch [1799]/[1880] Speed: 106.212483 samples/sec accuracy=27.977865 loss=3.304295 lr=0.054473 Epoch[012] Batch [1849]/[1880] Speed: 98.835288 samples/sec accuracy=27.965794 loss=3.304721 lr=0.054582 Batch [0049]/[0151]: acc-top1=26.984375 acc-top5=52.375000 Batch [0099]/[0151]: acc-top1=30.046875 acc-top5=55.820312 Batch [0149]/[0151]: acc-top1=29.067708 acc-top5=55.937500 [Epoch 012] training: accuracy=27.969581 loss=3.303867 [Epoch 012] speed: 104 samples/sec time cost: 2514.873449 [Epoch 012] validation: acc-top1=29.066639 acc-top5=55.893005 loss=3.197325 Epoch[013] Batch [0049]/[1880] Speed: 75.585259 samples/sec accuracy=29.437500 loss=3.205169 lr=0.054758 Epoch[013] Batch [0099]/[1880] Speed: 109.534098 samples/sec accuracy=29.265625 loss=3.210365 lr=0.054868 Epoch[013] Batch [0149]/[1880] Speed: 103.440049 samples/sec accuracy=29.557292 loss=3.202582 lr=0.054977 Epoch[013] Batch [0199]/[1880] Speed: 104.930487 samples/sec accuracy=29.382812 loss=3.208663 lr=0.055087 Epoch[013] Batch [0249]/[1880] Speed: 109.741736 samples/sec accuracy=29.503125 loss=3.200610 lr=0.055197 Epoch[013] Batch [0299]/[1880] Speed: 97.152688 samples/sec accuracy=29.395833 loss=3.208766 lr=0.055307 Epoch[013] Batch [0349]/[1880] Speed: 114.495264 samples/sec accuracy=29.419643 loss=3.215844 lr=0.055417 Epoch[013] Batch [0399]/[1880] Speed: 99.218508 samples/sec accuracy=29.226562 loss=3.221636 lr=0.055526 Epoch[013] Batch [0449]/[1880] Speed: 109.923552 samples/sec accuracy=29.243056 loss=3.225016 lr=0.055636 Epoch[013] Batch [0499]/[1880] Speed: 103.448367 samples/sec accuracy=29.164062 loss=3.227155 lr=0.055746 Epoch[013] Batch [0549]/[1880] Speed: 107.490906 samples/sec accuracy=29.090909 loss=3.230631 lr=0.055856 Epoch[013] Batch [0599]/[1880] Speed: 107.239068 samples/sec accuracy=29.074219 loss=3.236069 lr=0.055965 Epoch[013] Batch [0649]/[1880] Speed: 106.017038 samples/sec accuracy=29.007212 loss=3.237636 lr=0.056075 Epoch[013] Batch [0699]/[1880] Speed: 102.063545 samples/sec accuracy=28.982143 loss=3.240444 lr=0.056185 Epoch[013] Batch [0749]/[1880] Speed: 103.447077 samples/sec accuracy=28.987500 loss=3.241678 lr=0.056295 Epoch[013] Batch [0799]/[1880] Speed: 107.341621 samples/sec accuracy=29.000977 loss=3.241157 lr=0.056404 Epoch[013] Batch [0849]/[1880] Speed: 100.303085 samples/sec accuracy=29.041360 loss=3.239311 lr=0.056514 Epoch[013] Batch [0899]/[1880] Speed: 110.459709 samples/sec accuracy=29.092882 loss=3.236841 lr=0.056624 Epoch[013] Batch [0949]/[1880] Speed: 103.437535 samples/sec accuracy=29.108553 loss=3.235129 lr=0.056734 Epoch[013] Batch [0999]/[1880] Speed: 103.406877 samples/sec accuracy=29.094531 loss=3.236894 lr=0.056844 Epoch[013] Batch [1049]/[1880] Speed: 103.980865 samples/sec accuracy=29.091518 loss=3.236876 lr=0.056953 Epoch[013] Batch [1099]/[1880] Speed: 105.457827 samples/sec accuracy=29.054688 loss=3.236569 lr=0.057063 Epoch[013] Batch [1149]/[1880] Speed: 109.968140 samples/sec accuracy=29.039402 loss=3.235742 lr=0.057173 Epoch[013] Batch [1199]/[1880] Speed: 101.513413 samples/sec accuracy=29.037760 loss=3.235390 lr=0.057283 Epoch[013] Batch [1249]/[1880] Speed: 108.337253 samples/sec accuracy=29.053125 loss=3.233940 lr=0.057392 Epoch[013] Batch [1299]/[1880] Speed: 103.447905 samples/sec accuracy=29.036058 loss=3.233935 lr=0.057502 Epoch[013] Batch [1349]/[1880] Speed: 105.191139 samples/sec accuracy=29.082755 loss=3.233377 lr=0.057612 Epoch[013] Batch [1399]/[1880] Speed: 104.427267 samples/sec accuracy=29.073103 loss=3.232343 lr=0.057722 Epoch[013] Batch [1449]/[1880] Speed: 99.766560 samples/sec accuracy=29.044181 loss=3.233276 lr=0.057831 Epoch[013] Batch [1499]/[1880] Speed: 113.909609 samples/sec accuracy=29.041667 loss=3.233416 lr=0.057941 Epoch[013] Batch [1549]/[1880] Speed: 101.633291 samples/sec accuracy=29.055948 loss=3.233198 lr=0.058051 Epoch[013] Batch [1599]/[1880] Speed: 106.661138 samples/sec accuracy=29.072266 loss=3.232624 lr=0.058161 Epoch[013] Batch [1649]/[1880] Speed: 104.849809 samples/sec accuracy=29.073390 loss=3.233336 lr=0.058270 Epoch[013] Batch [1699]/[1880] Speed: 104.976720 samples/sec accuracy=29.111213 loss=3.231669 lr=0.058380 Epoch[013] Batch [1749]/[1880] Speed: 105.009578 samples/sec accuracy=29.151786 loss=3.230658 lr=0.058490 Epoch[013] Batch [1799]/[1880] Speed: 109.908224 samples/sec accuracy=29.156250 loss=3.230503 lr=0.058600 Epoch[013] Batch [1849]/[1880] Speed: 98.961197 samples/sec accuracy=29.163429 loss=3.230221 lr=0.058710 Batch [0049]/[0151]: acc-top1=28.312500 acc-top5=53.687500 Batch [0099]/[0151]: acc-top1=31.234375 acc-top5=56.898438 Batch [0149]/[0151]: acc-top1=30.270833 acc-top5=56.630208 [Epoch 013] training: accuracy=29.160987 loss=3.229954 [Epoch 013] speed: 104 samples/sec time cost: 2499.933753 [Epoch 013] validation: acc-top1=30.225579 acc-top5=56.596647 loss=3.155386 Epoch[014] Batch [0049]/[1880] Speed: 75.433794 samples/sec accuracy=30.187500 loss=3.162801 lr=0.058885 Epoch[014] Batch [0099]/[1880] Speed: 108.504425 samples/sec accuracy=29.828125 loss=3.161352 lr=0.058995 Epoch[014] Batch [0149]/[1880] Speed: 101.852894 samples/sec accuracy=30.125000 loss=3.166020 lr=0.059105 Epoch[014] Batch [0199]/[1880] Speed: 103.328569 samples/sec accuracy=30.089844 loss=3.168317 lr=0.059215 Epoch[014] Batch [0249]/[1880] Speed: 110.210869 samples/sec accuracy=30.171875 loss=3.168335 lr=0.059324 Epoch[014] Batch [0299]/[1880] Speed: 105.851140 samples/sec accuracy=30.088542 loss=3.168202 lr=0.059434 Epoch[014] Batch [0349]/[1880] Speed: 99.357370 samples/sec accuracy=30.267857 loss=3.163294 lr=0.059544 Epoch[014] Batch [0399]/[1880] Speed: 112.925216 samples/sec accuracy=30.199219 loss=3.168272 lr=0.059654 Epoch[014] Batch [0449]/[1880] Speed: 97.327573 samples/sec accuracy=30.251736 loss=3.166231 lr=0.059763 Epoch[014] Batch [0499]/[1880] Speed: 109.068621 samples/sec accuracy=30.300000 loss=3.164776 lr=0.059873 Epoch[014] Batch [0549]/[1880] Speed: 100.370593 samples/sec accuracy=30.375000 loss=3.162763 lr=0.059983 Epoch[014] Batch [0599]/[1880] Speed: 110.286594 samples/sec accuracy=30.365885 loss=3.164451 lr=0.060093 Epoch[014] Batch [0649]/[1880] Speed: 99.293214 samples/sec accuracy=30.305288 loss=3.166443 lr=0.060202 Epoch[014] Batch [0699]/[1880] Speed: 107.625802 samples/sec accuracy=30.271205 loss=3.167976 lr=0.060312 Epoch[014] Batch [0749]/[1880] Speed: 113.213184 samples/sec accuracy=30.325000 loss=3.169583 lr=0.060422 Epoch[014] Batch [0799]/[1880] Speed: 98.494707 samples/sec accuracy=30.320312 loss=3.169552 lr=0.060532 Epoch[014] Batch [0849]/[1880] Speed: 111.840570 samples/sec accuracy=30.283088 loss=3.172390 lr=0.060641 Epoch[014] Batch [0899]/[1880] Speed: 100.426840 samples/sec accuracy=30.329861 loss=3.170188 lr=0.060751 Epoch[014] Batch [0949]/[1880] Speed: 110.775211 samples/sec accuracy=30.330592 loss=3.170449 lr=0.060861 Epoch[014] Batch [0999]/[1880] Speed: 102.369626 samples/sec accuracy=30.332031 loss=3.171160 lr=0.060971 Epoch[014] Batch [1049]/[1880] Speed: 110.245176 samples/sec accuracy=30.357143 loss=3.168986 lr=0.061081 Epoch[014] Batch [1099]/[1880] Speed: 100.772204 samples/sec accuracy=30.342330 loss=3.170236 lr=0.061190 Epoch[014] Batch [1149]/[1880] Speed: 112.001835 samples/sec accuracy=30.349185 loss=3.170172 lr=0.061300 Epoch[014] Batch [1199]/[1880] Speed: 99.758487 samples/sec accuracy=30.331380 loss=3.171364 lr=0.061410 Epoch[014] Batch [1249]/[1880] Speed: 110.837381 samples/sec accuracy=30.333125 loss=3.171705 lr=0.061520 Epoch[014] Batch [1299]/[1880] Speed: 102.915578 samples/sec accuracy=30.315505 loss=3.170949 lr=0.061629 Epoch[014] Batch [1349]/[1880] Speed: 105.649549 samples/sec accuracy=30.368634 loss=3.169584 lr=0.061739 Epoch[014] Batch [1399]/[1880] Speed: 105.583989 samples/sec accuracy=30.360491 loss=3.170879 lr=0.061849 Epoch[014] Batch [1449]/[1880] Speed: 104.332690 samples/sec accuracy=30.358836 loss=3.171071 lr=0.061959 Epoch[014] Batch [1499]/[1880] Speed: 109.130011 samples/sec accuracy=30.352604 loss=3.171724 lr=0.062068 Epoch[014] Batch [1549]/[1880] Speed: 100.247143 samples/sec accuracy=30.343750 loss=3.172323 lr=0.062178 Epoch[014] Batch [1599]/[1880] Speed: 108.344909 samples/sec accuracy=30.361816 loss=3.171926 lr=0.062288 Epoch[014] Batch [1649]/[1880] Speed: 107.921318 samples/sec accuracy=30.371212 loss=3.171435 lr=0.062398 Epoch[014] Batch [1699]/[1880] Speed: 99.513251 samples/sec accuracy=30.359375 loss=3.171624 lr=0.062508 Epoch[014] Batch [1749]/[1880] Speed: 113.153192 samples/sec accuracy=30.343750 loss=3.172203 lr=0.062617 Epoch[014] Batch [1799]/[1880] Speed: 99.137961 samples/sec accuracy=30.342448 loss=3.172448 lr=0.062727 Epoch[014] Batch [1849]/[1880] Speed: 110.292613 samples/sec accuracy=30.334459 loss=3.172700 lr=0.062837 Batch [0049]/[0151]: acc-top1=27.828125 acc-top5=54.421875 Batch [0099]/[0151]: acc-top1=31.882812 acc-top5=57.789062 Batch [0149]/[0151]: acc-top1=30.979167 acc-top5=57.812500 [Epoch 014] training: accuracy=30.315824 loss=3.173112 [Epoch 014] speed: 104 samples/sec time cost: 2497.415516 [Epoch 014] validation: acc-top1=30.970613 acc-top5=57.812500 loss=3.116381 Epoch[015] Batch [0049]/[1880] Speed: 75.572122 samples/sec accuracy=30.140625 loss=3.129538 lr=0.063012 Epoch[015] Batch [0099]/[1880] Speed: 113.078335 samples/sec accuracy=31.039062 loss=3.107846 lr=0.063122 Epoch[015] Batch [0149]/[1880] Speed: 102.203135 samples/sec accuracy=31.453125 loss=3.104267 lr=0.063232 Epoch[015] Batch [0199]/[1880] Speed: 105.515835 samples/sec accuracy=31.269531 loss=3.116438 lr=0.063342 Epoch[015] Batch [0249]/[1880] Speed: 104.951449 samples/sec accuracy=31.190625 loss=3.122845 lr=0.063452 Epoch[015] Batch [0299]/[1880] Speed: 104.720549 samples/sec accuracy=31.270833 loss=3.119988 lr=0.063561 Epoch[015] Batch [0349]/[1880] Speed: 112.582458 samples/sec accuracy=31.250000 loss=3.119427 lr=0.063671 Epoch[015] Batch [0399]/[1880] Speed: 100.224383 samples/sec accuracy=31.193359 loss=3.123220 lr=0.063781 Epoch[015] Batch [0449]/[1880] Speed: 112.866982 samples/sec accuracy=31.199653 loss=3.124103 lr=0.063891 Epoch[015] Batch [0499]/[1880] Speed: 99.343832 samples/sec accuracy=31.090625 loss=3.123654 lr=0.064000 Epoch[015] Batch [0549]/[1880] Speed: 111.194115 samples/sec accuracy=31.112216 loss=3.123436 lr=0.064110 Epoch[015] Batch [0599]/[1880] Speed: 100.380156 samples/sec accuracy=31.169271 loss=3.120096 lr=0.064220 Epoch[015] Batch [0649]/[1880] Speed: 108.994383 samples/sec accuracy=31.093750 loss=3.122620 lr=0.064330 Epoch[015] Batch [0699]/[1880] Speed: 104.754011 samples/sec accuracy=30.994420 loss=3.126106 lr=0.064439 Epoch[015] Batch [0749]/[1880] Speed: 107.911920 samples/sec accuracy=31.067708 loss=3.122620 lr=0.064549 Epoch[015] Batch [0799]/[1880] Speed: 104.828233 samples/sec accuracy=31.000000 loss=3.124908 lr=0.064659 Epoch[015] Batch [0849]/[1880] Speed: 108.510160 samples/sec accuracy=30.995404 loss=3.126765 lr=0.064769 Epoch[015] Batch [0899]/[1880] Speed: 103.852177 samples/sec accuracy=30.982639 loss=3.128420 lr=0.064879 Epoch[015] Batch [0949]/[1880] Speed: 105.841479 samples/sec accuracy=30.983553 loss=3.127795 lr=0.064988 Epoch[015] Batch [0999]/[1880] Speed: 106.958357 samples/sec accuracy=30.974219 loss=3.128950 lr=0.065098 Epoch[015] Batch [1049]/[1880] Speed: 103.484457 samples/sec accuracy=30.966518 loss=3.128808 lr=0.065208 Epoch[015] Batch [1099]/[1880] Speed: 103.652728 samples/sec accuracy=30.946023 loss=3.130736 lr=0.065318 Epoch[015] Batch [1149]/[1880] Speed: 106.462959 samples/sec accuracy=30.933424 loss=3.131198 lr=0.065427 Epoch[015] Batch [1199]/[1880] Speed: 106.048626 samples/sec accuracy=30.932292 loss=3.131416 lr=0.065537 Epoch[015] Batch [1249]/[1880] Speed: 107.180437 samples/sec accuracy=30.943750 loss=3.131166 lr=0.065647 Epoch[015] Batch [1299]/[1880] Speed: 101.859262 samples/sec accuracy=30.960337 loss=3.131166 lr=0.065757 Epoch[015] Batch [1349]/[1880] Speed: 109.926920 samples/sec accuracy=30.979167 loss=3.131320 lr=0.065866 Epoch[015] Batch [1399]/[1880] Speed: 102.136537 samples/sec accuracy=31.017299 loss=3.130709 lr=0.065976 Epoch[015] Batch [1449]/[1880] Speed: 107.559169 samples/sec accuracy=31.009698 loss=3.132400 lr=0.066086 Epoch[015] Batch [1499]/[1880] Speed: 105.887545 samples/sec accuracy=31.017708 loss=3.132412 lr=0.066196 Epoch[015] Batch [1549]/[1880] Speed: 105.288327 samples/sec accuracy=31.024194 loss=3.132185 lr=0.066306 Epoch[015] Batch [1599]/[1880] Speed: 104.774199 samples/sec accuracy=31.015137 loss=3.133163 lr=0.066415 Epoch[015] Batch [1649]/[1880] Speed: 106.486358 samples/sec accuracy=31.008996 loss=3.132923 lr=0.066525 Epoch[015] Batch [1699]/[1880] Speed: 103.986262 samples/sec accuracy=31.011489 loss=3.133916 lr=0.066635 Epoch[015] Batch [1749]/[1880] Speed: 110.731437 samples/sec accuracy=31.009821 loss=3.133805 lr=0.066745 Epoch[015] Batch [1799]/[1880] Speed: 103.717420 samples/sec accuracy=31.032552 loss=3.132855 lr=0.066854 Epoch[015] Batch [1849]/[1880] Speed: 107.591754 samples/sec accuracy=31.038429 loss=3.131922 lr=0.066964 Batch [0049]/[0151]: acc-top1=28.953125 acc-top5=55.468750 Batch [0099]/[0151]: acc-top1=32.304688 acc-top5=58.484375 Batch [0149]/[0151]: acc-top1=30.781250 acc-top5=57.994792 [Epoch 015] training: accuracy=31.040559 loss=3.131595 [Epoch 015] speed: 105 samples/sec time cost: 2485.847228 [Epoch 015] validation: acc-top1=30.774007 acc-top5=57.952194 loss=3.105367 Epoch[016] Batch [0049]/[1880] Speed: 74.452013 samples/sec accuracy=32.656250 loss=3.055914 lr=0.067140 Epoch[016] Batch [0099]/[1880] Speed: 111.679280 samples/sec accuracy=32.289062 loss=3.058608 lr=0.067250 Epoch[016] Batch [0149]/[1880] Speed: 103.619919 samples/sec accuracy=32.395833 loss=3.051597 lr=0.067359 Epoch[016] Batch [0199]/[1880] Speed: 109.669571 samples/sec accuracy=32.230469 loss=3.062395 lr=0.067469 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loss=3.092968 lr=0.069555 Epoch[016] Batch [1199]/[1880] Speed: 102.679406 samples/sec accuracy=31.849609 loss=3.091460 lr=0.069664 Epoch[016] Batch [1249]/[1880] Speed: 107.441158 samples/sec accuracy=31.856250 loss=3.090524 lr=0.069774 Epoch[016] Batch [1299]/[1880] Speed: 106.852606 samples/sec accuracy=31.875601 loss=3.089858 lr=0.069884 Epoch[016] Batch [1349]/[1880] Speed: 104.770616 samples/sec accuracy=31.877894 loss=3.088629 lr=0.069994 Epoch[016] Batch [1399]/[1880] Speed: 104.814220 samples/sec accuracy=31.886161 loss=3.088190 lr=0.070104 Epoch[016] Batch [1449]/[1880] Speed: 111.875336 samples/sec accuracy=31.866379 loss=3.088740 lr=0.070213 Epoch[016] Batch [1499]/[1880] Speed: 101.823311 samples/sec accuracy=31.891146 loss=3.087250 lr=0.070323 Epoch[016] Batch [1549]/[1880] Speed: 110.534349 samples/sec accuracy=31.872480 loss=3.088654 lr=0.070433 Epoch[016] Batch [1599]/[1880] Speed: 108.388834 samples/sec accuracy=31.901367 loss=3.087420 lr=0.070543 Epoch[016] Batch [1649]/[1880] Speed: 105.203901 samples/sec accuracy=31.901042 loss=3.086957 lr=0.070652 Epoch[016] Batch [1699]/[1880] Speed: 107.199052 samples/sec accuracy=31.893842 loss=3.087326 lr=0.070762 Epoch[016] Batch [1749]/[1880] Speed: 102.691281 samples/sec accuracy=31.856696 loss=3.088163 lr=0.070872 Epoch[016] Batch [1799]/[1880] Speed: 113.528363 samples/sec accuracy=31.862847 loss=3.088273 lr=0.070982 Epoch[016] Batch [1849]/[1880] Speed: 101.693655 samples/sec accuracy=31.855152 loss=3.088477 lr=0.071091 Batch [0049]/[0151]: acc-top1=30.484375 acc-top5=57.046875 Batch [0099]/[0151]: acc-top1=34.507812 acc-top5=60.468750 Batch [0149]/[0151]: acc-top1=33.338542 acc-top5=60.364583 [Epoch 016] training: accuracy=31.844249 loss=3.088723 [Epoch 016] speed: 106 samples/sec time cost: 2467.181023 [Epoch 016] validation: acc-top1=33.288493 acc-top5=60.311465 loss=2.984423 Epoch[017] Batch [0049]/[1879] Speed: 75.315036 samples/sec accuracy=32.781250 loss=3.003737 lr=0.071267 Epoch[017] Batch [0099]/[1879] Speed: 113.598583 samples/sec accuracy=32.257812 loss=3.049432 lr=0.071377 Epoch[017] Batch [0149]/[1879] Speed: 100.204686 samples/sec accuracy=32.359375 loss=3.051403 lr=0.071487 Epoch[017] Batch [0199]/[1879] Speed: 111.603879 samples/sec accuracy=32.195312 loss=3.058934 lr=0.071596 Epoch[017] Batch [0249]/[1879] Speed: 106.705280 samples/sec accuracy=32.265625 loss=3.057973 lr=0.071706 Epoch[017] Batch [0299]/[1879] Speed: 102.062510 samples/sec accuracy=32.205729 loss=3.067916 lr=0.071816 Epoch[017] Batch [0349]/[1879] Speed: 113.233359 samples/sec accuracy=32.294643 loss=3.064608 lr=0.071926 Epoch[017] Batch [0399]/[1879] Speed: 101.495149 samples/sec accuracy=32.324219 loss=3.065397 lr=0.072035 Epoch[017] Batch [0449]/[1879] Speed: 110.369940 samples/sec accuracy=32.397569 loss=3.064280 lr=0.072145 Epoch[017] Batch [0499]/[1879] Speed: 99.578313 samples/sec accuracy=32.410937 loss=3.063511 lr=0.072255 Epoch[017] Batch [0549]/[1879] Speed: 114.713094 samples/sec accuracy=32.433239 loss=3.060185 lr=0.072365 Epoch[017] Batch [0599]/[1879] Speed: 115.261540 samples/sec accuracy=32.454427 loss=3.060883 lr=0.072475 Epoch[017] Batch [0649]/[1879] Speed: 97.795448 samples/sec accuracy=32.455529 loss=3.063262 lr=0.072584 Epoch[017] Batch [0699]/[1879] Speed: 115.136559 samples/sec accuracy=32.421875 loss=3.062953 lr=0.072694 Epoch[017] Batch [0749]/[1879] Speed: 100.762835 samples/sec accuracy=32.375000 loss=3.061909 lr=0.072804 Epoch[017] Batch [0799]/[1879] Speed: 113.759032 samples/sec accuracy=32.399414 loss=3.060943 lr=0.072914 Epoch[017] Batch [0849]/[1879] Speed: 98.932887 samples/sec accuracy=32.420037 loss=3.060193 lr=0.073023 Epoch[017] Batch [0899]/[1879] Speed: 113.602224 samples/sec accuracy=32.442708 loss=3.058320 lr=0.073133 Epoch[017] Batch [0949]/[1879] Speed: 105.672600 samples/sec accuracy=32.436678 loss=3.058336 lr=0.073243 Epoch[017] Batch [0999]/[1879] Speed: 105.883267 samples/sec accuracy=32.402344 loss=3.059198 lr=0.073353 Epoch[017] Batch [1049]/[1879] Speed: 108.502320 samples/sec accuracy=32.393601 loss=3.057938 lr=0.073462 Epoch[017] Batch [1099]/[1879] Speed: 103.944741 samples/sec accuracy=32.388494 loss=3.058567 lr=0.073572 Epoch[017] Batch [1149]/[1879] Speed: 109.877602 samples/sec accuracy=32.377038 loss=3.060377 lr=0.073682 Epoch[017] Batch [1199]/[1879] Speed: 107.683534 samples/sec accuracy=32.335938 loss=3.060629 lr=0.073792 Epoch[017] Batch [1249]/[1879] Speed: 103.421127 samples/sec accuracy=32.316250 loss=3.062158 lr=0.073901 Epoch[017] Batch [1299]/[1879] Speed: 114.250053 samples/sec accuracy=32.369591 loss=3.059787 lr=0.074011 Epoch[017] Batch [1349]/[1879] Speed: 99.236986 samples/sec accuracy=32.388889 loss=3.059226 lr=0.074121 Epoch[017] Batch [1399]/[1879] Speed: 114.353207 samples/sec accuracy=32.380022 loss=3.059411 lr=0.074231 Epoch[017] Batch [1449]/[1879] Speed: 102.033356 samples/sec accuracy=32.371228 loss=3.060196 lr=0.074341 Epoch[017] Batch [1499]/[1879] Speed: 109.656241 samples/sec accuracy=32.338021 loss=3.060821 lr=0.074450 Epoch[017] Batch [1549]/[1879] Speed: 102.930302 samples/sec accuracy=32.320565 loss=3.061736 lr=0.074560 Epoch[017] Batch [1599]/[1879] Speed: 112.328391 samples/sec accuracy=32.324219 loss=3.062329 lr=0.074670 Epoch[017] Batch [1649]/[1879] Speed: 106.554999 samples/sec accuracy=32.302083 loss=3.062926 lr=0.074780 Epoch[017] Batch [1699]/[1879] Speed: 108.533874 samples/sec accuracy=32.316176 loss=3.062608 lr=0.074889 Epoch[017] Batch [1749]/[1879] Speed: 114.116446 samples/sec accuracy=32.318304 loss=3.062476 lr=0.074999 Epoch[017] Batch [1799]/[1879] Speed: 101.245327 samples/sec accuracy=32.307726 loss=3.062975 lr=0.075109 Epoch[017] Batch [1849]/[1879] Speed: 111.165269 samples/sec accuracy=32.313345 loss=3.064088 lr=0.075219 Batch [0049]/[0151]: acc-top1=29.234375 acc-top5=54.484375 Batch [0099]/[0151]: acc-top1=33.015625 acc-top5=58.625000 Batch [0149]/[0151]: acc-top1=31.828125 acc-top5=58.213542 [Epoch 017] training: accuracy=32.315228 loss=3.064286 [Epoch 017] speed: 106 samples/sec time cost: 2458.695705 [Epoch 017] validation: acc-top1=31.891556 acc-top5=58.293667 loss=3.162391 Epoch[018] Batch [0049]/[1880] Speed: 74.836387 samples/sec accuracy=33.828125 loss=2.985685 lr=0.075392 Epoch[018] Batch [0099]/[1880] Speed: 115.949051 samples/sec accuracy=33.710938 loss=3.002703 lr=0.075502 Epoch[018] Batch [0149]/[1880] Speed: 104.009909 samples/sec accuracy=33.385417 loss=3.019744 lr=0.075612 Epoch[018] Batch [0199]/[1880] Speed: 106.864057 samples/sec accuracy=33.277344 loss=3.021714 lr=0.075721 Epoch[018] Batch [0249]/[1880] Speed: 111.022285 samples/sec accuracy=33.215625 loss=3.026808 lr=0.075831 Epoch[018] Batch [0299]/[1880] Speed: 101.748002 samples/sec accuracy=33.031250 loss=3.033610 lr=0.075941 Epoch[018] Batch [0349]/[1880] Speed: 115.839803 samples/sec accuracy=33.020089 loss=3.033441 lr=0.076051 Epoch[018] Batch [0399]/[1880] Speed: 103.568696 samples/sec accuracy=32.941406 loss=3.036185 lr=0.076161 Epoch[018] Batch [0449]/[1880] Speed: 110.116606 samples/sec accuracy=33.005208 loss=3.033257 lr=0.076270 Epoch[018] Batch [0499]/[1880] Speed: 108.202476 samples/sec accuracy=32.945312 loss=3.033611 lr=0.076380 Epoch[018] Batch [0549]/[1880] Speed: 102.960181 samples/sec accuracy=32.927557 loss=3.031917 lr=0.076490 Epoch[018] Batch [0599]/[1880] Speed: 109.625146 samples/sec accuracy=32.955729 loss=3.028500 lr=0.076600 Epoch[018] Batch [0649]/[1880] Speed: 102.215072 samples/sec accuracy=32.998798 loss=3.027689 lr=0.076709 Epoch[018] Batch [0699]/[1880] Speed: 114.272177 samples/sec accuracy=32.985491 loss=3.029470 lr=0.076819 Epoch[018] Batch [0749]/[1880] Speed: 105.016780 samples/sec accuracy=32.968750 loss=3.030727 lr=0.076929 Epoch[018] Batch [0799]/[1880] Speed: 106.458803 samples/sec accuracy=32.944336 loss=3.030176 lr=0.077039 Epoch[018] Batch [0849]/[1880] Speed: 108.972919 samples/sec accuracy=32.937500 loss=3.031274 lr=0.077148 Epoch[018] Batch [0899]/[1880] Speed: 106.741388 samples/sec accuracy=32.999132 loss=3.030525 lr=0.077258 Epoch[018] Batch [0949]/[1880] Speed: 110.401982 samples/sec accuracy=32.968750 loss=3.032257 lr=0.077368 Epoch[018] Batch [0999]/[1880] Speed: 102.619121 samples/sec accuracy=32.943750 loss=3.032453 lr=0.077478 Epoch[018] Batch [1049]/[1880] Speed: 113.087506 samples/sec accuracy=32.926339 loss=3.032614 lr=0.077588 Epoch[018] Batch [1099]/[1880] Speed: 103.980820 samples/sec accuracy=32.904119 loss=3.033005 lr=0.077697 Epoch[018] Batch [1149]/[1880] Speed: 110.858534 samples/sec accuracy=32.881793 loss=3.033499 lr=0.077807 Epoch[018] Batch [1199]/[1880] Speed: 107.269968 samples/sec accuracy=32.845052 loss=3.035875 lr=0.077917 Epoch[018] Batch [1249]/[1880] Speed: 103.559438 samples/sec accuracy=32.866875 loss=3.034654 lr=0.078027 Epoch[018] Batch [1299]/[1880] Speed: 108.993287 samples/sec accuracy=32.856370 loss=3.033962 lr=0.078136 Epoch[018] Batch [1349]/[1880] Speed: 111.230690 samples/sec accuracy=32.865741 loss=3.033857 lr=0.078246 Epoch[018] Batch [1399]/[1880] Speed: 104.807473 samples/sec accuracy=32.847656 loss=3.034398 lr=0.078356 Epoch[018] Batch [1449]/[1880] Speed: 109.562819 samples/sec accuracy=32.840517 loss=3.034553 lr=0.078466 Epoch[018] Batch [1499]/[1880] Speed: 101.313227 samples/sec accuracy=32.846354 loss=3.034480 lr=0.078575 Epoch[018] Batch [1549]/[1880] Speed: 113.597034 samples/sec accuracy=32.873488 loss=3.033870 lr=0.078685 Epoch[018] Batch [1599]/[1880] Speed: 102.247412 samples/sec accuracy=32.878906 loss=3.034154 lr=0.078795 Epoch[018] Batch [1649]/[1880] Speed: 110.013520 samples/sec accuracy=32.852746 loss=3.034367 lr=0.078905 Epoch[018] Batch [1699]/[1880] Speed: 107.744454 samples/sec accuracy=32.838695 loss=3.035530 lr=0.079015 Epoch[018] Batch [1749]/[1880] Speed: 106.696336 samples/sec accuracy=32.853571 loss=3.035354 lr=0.079124 Epoch[018] Batch [1799]/[1880] Speed: 109.617372 samples/sec accuracy=32.863715 loss=3.036240 lr=0.079234 Epoch[018] Batch [1849]/[1880] Speed: 104.752467 samples/sec accuracy=32.867399 loss=3.036458 lr=0.079344 Batch [0049]/[0151]: acc-top1=29.453125 acc-top5=54.609375 Batch [0099]/[0151]: acc-top1=33.203125 acc-top5=58.226562 Batch [0149]/[0151]: acc-top1=32.208333 acc-top5=58.463542 [Epoch 018] training: accuracy=32.847822 loss=3.037415 [Epoch 018] speed: 106 samples/sec time cost: 2453.137311 [Epoch 018] validation: acc-top1=32.191639 acc-top5=58.438535 loss=3.103139 Epoch[019] Batch [0049]/[1880] Speed: 74.978462 samples/sec accuracy=33.937500 loss=2.959903 lr=0.079519 Epoch[019] Batch [0099]/[1880] Speed: 112.814704 samples/sec accuracy=33.765625 loss=2.975833 lr=0.079629 Epoch[019] Batch [0149]/[1880] Speed: 102.861127 samples/sec accuracy=33.692708 loss=2.984925 lr=0.079739 Epoch[019] Batch [0199]/[1880] Speed: 111.242802 samples/sec accuracy=33.828125 loss=2.974861 lr=0.079849 Epoch[019] Batch [0249]/[1880] Speed: 111.998422 samples/sec accuracy=33.600000 loss=2.983884 lr=0.079959 Epoch[019] Batch [0299]/[1880] Speed: 104.440363 samples/sec accuracy=33.625000 loss=2.983167 lr=0.080068 Epoch[019] Batch [0349]/[1880] Speed: 108.205192 samples/sec accuracy=33.593750 loss=2.990153 lr=0.080178 Epoch[019] Batch [0399]/[1880] Speed: 107.385369 samples/sec accuracy=33.558594 loss=2.993088 lr=0.080288 Epoch[019] Batch [0449]/[1880] Speed: 105.062527 samples/sec accuracy=33.458333 loss=2.996985 lr=0.080398 Epoch[019] Batch [0499]/[1880] Speed: 110.588483 samples/sec accuracy=33.420313 loss=2.997543 lr=0.080507 Epoch[019] Batch [0549]/[1880] Speed: 101.468550 samples/sec accuracy=33.414773 loss=2.999592 lr=0.080617 Epoch[019] Batch [0599]/[1880] Speed: 111.017947 samples/sec accuracy=33.372396 loss=3.000287 lr=0.080727 Epoch[019] Batch [0649]/[1880] Speed: 105.931290 samples/sec accuracy=33.389423 loss=2.999242 lr=0.080837 Epoch[019] Batch [0699]/[1880] Speed: 105.818763 samples/sec accuracy=33.252232 loss=3.005890 lr=0.080946 Epoch[019] Batch [0749]/[1880] Speed: 108.129036 samples/sec accuracy=33.231250 loss=3.007034 lr=0.081056 Epoch[019] Batch [0799]/[1880] Speed: 107.564284 samples/sec accuracy=33.231445 loss=3.009462 lr=0.081166 Epoch[019] Batch [0849]/[1880] Speed: 107.805434 samples/sec accuracy=33.208640 loss=3.009295 lr=0.081276 Epoch[019] Batch [0899]/[1880] Speed: 106.074391 samples/sec accuracy=33.198785 loss=3.009894 lr=0.081385 Epoch[019] Batch [0949]/[1880] Speed: 108.116505 samples/sec accuracy=33.199013 loss=3.010342 lr=0.081495 Epoch[019] Batch [0999]/[1880] Speed: 107.104121 samples/sec accuracy=33.180469 loss=3.011199 lr=0.081605 Epoch[019] Batch [1049]/[1880] Speed: 107.092991 samples/sec accuracy=33.218750 loss=3.010528 lr=0.081715 Epoch[019] Batch [1099]/[1880] Speed: 111.102968 samples/sec accuracy=33.224432 loss=3.009017 lr=0.081825 Epoch[019] Batch [1149]/[1880] Speed: 107.020194 samples/sec accuracy=33.216712 loss=3.010757 lr=0.081934 Epoch[019] Batch [1199]/[1880] Speed: 109.698424 samples/sec accuracy=33.223958 loss=3.010800 lr=0.082044 Epoch[019] Batch [1249]/[1880] Speed: 104.549997 samples/sec accuracy=33.268125 loss=3.010413 lr=0.082154 Epoch[019] Batch [1299]/[1880] Speed: 111.744924 samples/sec accuracy=33.276442 loss=3.010285 lr=0.082264 Epoch[019] Batch [1349]/[1880] Speed: 104.059154 samples/sec accuracy=33.267940 loss=3.011482 lr=0.082373 Epoch[019] Batch [1399]/[1880] Speed: 111.695018 samples/sec accuracy=33.271205 loss=3.011986 lr=0.082483 Epoch[019] Batch [1449]/[1880] Speed: 101.682829 samples/sec accuracy=33.267241 loss=3.012235 lr=0.082593 Epoch[019] Batch [1499]/[1880] Speed: 111.116544 samples/sec accuracy=33.319271 loss=3.011059 lr=0.082703 Epoch[019] Batch [1549]/[1880] Speed: 112.330055 samples/sec accuracy=33.338206 loss=3.010561 lr=0.082812 Epoch[019] Batch [1599]/[1880] Speed: 103.783058 samples/sec accuracy=33.332520 loss=3.010497 lr=0.082922 Epoch[019] Batch [1649]/[1880] Speed: 110.943307 samples/sec accuracy=33.319602 loss=3.010624 lr=0.083032 Epoch[019] Batch [1699]/[1880] Speed: 102.280579 samples/sec accuracy=33.282629 loss=3.010755 lr=0.083142 Epoch[019] Batch [1749]/[1880] Speed: 111.755274 samples/sec accuracy=33.282143 loss=3.011490 lr=0.083252 Epoch[019] Batch [1799]/[1880] Speed: 104.646770 samples/sec accuracy=33.291233 loss=3.011724 lr=0.083361 Epoch[019] Batch [1849]/[1880] Speed: 110.783169 samples/sec accuracy=33.272804 loss=3.012708 lr=0.083471 Batch [0049]/[0151]: acc-top1=30.296875 acc-top5=56.078125 Batch [0099]/[0151]: acc-top1=33.757812 acc-top5=58.539063 Batch [0149]/[0151]: acc-top1=32.125000 acc-top5=58.000000 [Epoch 019] training: accuracy=33.279172 loss=3.012518 [Epoch 019] speed: 106 samples/sec time cost: 2452.920337 [Epoch 019] validation: acc-top1=32.176118 acc-top5=58.029801 loss=3.134199 Epoch[020] Batch [0049]/[1880] Speed: 76.036618 samples/sec accuracy=34.125000 loss=2.981996 lr=0.083647 Epoch[020] Batch [0099]/[1880] Speed: 113.151799 samples/sec accuracy=33.906250 loss=2.994310 lr=0.083756 Epoch[020] Batch 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accuracy=33.692708 loss=2.989222 lr=0.084854 Epoch[020] Batch [0649]/[1880] Speed: 104.576401 samples/sec accuracy=33.649038 loss=2.990105 lr=0.084964 Epoch[020] Batch [0699]/[1880] Speed: 108.356827 samples/sec accuracy=33.685268 loss=2.989479 lr=0.085074 Epoch[020] Batch [0749]/[1880] Speed: 105.902384 samples/sec accuracy=33.679167 loss=2.991364 lr=0.085183 Epoch[020] Batch [0799]/[1880] Speed: 109.028993 samples/sec accuracy=33.626953 loss=2.992770 lr=0.085293 Epoch[020] Batch [0849]/[1880] Speed: 109.507350 samples/sec accuracy=33.617647 loss=2.992296 lr=0.085403 Epoch[020] Batch [0899]/[1880] Speed: 108.755410 samples/sec accuracy=33.598958 loss=2.994145 lr=0.085513 Epoch[020] Batch [0949]/[1880] Speed: 105.084281 samples/sec accuracy=33.619243 loss=2.993896 lr=0.085623 Epoch[020] Batch [0999]/[1880] Speed: 113.227749 samples/sec accuracy=33.613281 loss=2.994334 lr=0.085732 Epoch[020] Batch [1049]/[1880] Speed: 101.234537 samples/sec accuracy=33.540179 loss=2.996254 lr=0.085842 Epoch[020] Batch [1099]/[1880] Speed: 110.635791 samples/sec accuracy=33.581676 loss=2.994596 lr=0.085952 Epoch[020] Batch [1149]/[1880] Speed: 108.445641 samples/sec accuracy=33.580163 loss=2.995832 lr=0.086062 Epoch[020] Batch [1199]/[1880] Speed: 101.877016 samples/sec accuracy=33.576823 loss=2.996014 lr=0.086171 Epoch[020] Batch [1249]/[1880] Speed: 115.918146 samples/sec accuracy=33.568125 loss=2.996873 lr=0.086281 Epoch[020] Batch [1299]/[1880] Speed: 99.789345 samples/sec accuracy=33.578726 loss=2.997464 lr=0.086391 Epoch[020] Batch [1349]/[1880] Speed: 113.498522 samples/sec accuracy=33.616898 loss=2.995883 lr=0.086501 Epoch[020] Batch [1399]/[1880] Speed: 99.467711 samples/sec accuracy=33.615513 loss=2.997594 lr=0.086610 Epoch[020] Batch [1449]/[1880] Speed: 113.811983 samples/sec accuracy=33.605065 loss=2.997686 lr=0.086720 Epoch[020] Batch [1499]/[1880] Speed: 109.410205 samples/sec accuracy=33.656250 loss=2.997847 lr=0.086830 Epoch[020] Batch [1549]/[1880] Speed: 107.555163 samples/sec accuracy=33.690524 loss=2.996329 lr=0.086940 Epoch[020] Batch [1599]/[1880] Speed: 107.713924 samples/sec accuracy=33.684570 loss=2.996970 lr=0.087050 Epoch[020] Batch [1649]/[1880] Speed: 106.756407 samples/sec accuracy=33.681345 loss=2.997240 lr=0.087159 Epoch[020] Batch [1699]/[1880] Speed: 106.192097 samples/sec accuracy=33.687960 loss=2.997007 lr=0.087269 Epoch[020] Batch [1749]/[1880] Speed: 107.205243 samples/sec accuracy=33.690179 loss=2.996692 lr=0.087379 Epoch[020] Batch [1799]/[1880] Speed: 112.396205 samples/sec accuracy=33.683160 loss=2.997500 lr=0.087489 Epoch[020] Batch [1849]/[1880] Speed: 101.136032 samples/sec accuracy=33.682010 loss=2.997099 lr=0.087598 Batch [0049]/[0151]: acc-top1=29.093750 acc-top5=54.359375 Batch [0099]/[0151]: acc-top1=33.476562 acc-top5=58.125000 Batch [0149]/[0151]: acc-top1=32.130208 acc-top5=57.817708 [Epoch 020] training: accuracy=33.694315 loss=2.996427 [Epoch 020] speed: 106 samples/sec time cost: 2456.073340 [Epoch 020] validation: acc-top1=32.072641 acc-top5=57.719371 loss=3.201267 Epoch[021] Batch [0049]/[1880] Speed: 74.713635 samples/sec accuracy=34.703125 loss=2.969317 lr=0.087774 Epoch[021] Batch [0099]/[1880] Speed: 109.885818 samples/sec accuracy=34.539062 loss=2.963087 lr=0.087884 Epoch[021] Batch [0149]/[1880] Speed: 106.298505 samples/sec accuracy=34.588542 loss=2.950380 lr=0.087994 Epoch[021] Batch [0199]/[1880] Speed: 105.760361 samples/sec accuracy=34.503906 loss=2.947791 lr=0.088103 Epoch[021] Batch [0249]/[1880] Speed: 108.364731 samples/sec accuracy=34.503125 loss=2.944208 lr=0.088213 Epoch[021] Batch [0299]/[1880] Speed: 104.654238 samples/sec accuracy=34.247396 loss=2.953577 lr=0.088323 Epoch[021] Batch [0349]/[1880] Speed: 114.318431 samples/sec accuracy=34.198661 loss=2.958717 lr=0.088433 Epoch[021] Batch [0399]/[1880] Speed: 102.957343 samples/sec accuracy=34.011719 loss=2.970019 lr=0.088542 Epoch[021] Batch [0449]/[1880] Speed: 110.296890 samples/sec accuracy=34.034722 loss=2.971700 lr=0.088652 Epoch[021] Batch [0499]/[1880] Speed: 106.620159 samples/sec accuracy=33.965625 loss=2.977234 lr=0.088762 Epoch[021] Batch [0549]/[1880] Speed: 106.456073 samples/sec accuracy=34.025568 loss=2.975726 lr=0.088872 Epoch[021] Batch [0599]/[1880] Speed: 108.867762 samples/sec accuracy=34.071615 loss=2.972528 lr=0.088981 Epoch[021] Batch [0649]/[1880] Speed: 107.811895 samples/sec accuracy=34.038462 loss=2.974863 lr=0.089091 Epoch[021] Batch [0699]/[1880] Speed: 107.087498 samples/sec accuracy=33.948661 loss=2.977498 lr=0.089201 Epoch[021] Batch [0749]/[1880] Speed: 107.913952 samples/sec accuracy=33.990625 loss=2.976252 lr=0.089311 Epoch[021] Batch [0799]/[1880] Speed: 110.948443 samples/sec accuracy=34.010742 loss=2.974855 lr=0.089421 Epoch[021] Batch [0849]/[1880] Speed: 102.588474 samples/sec accuracy=34.021140 loss=2.973704 lr=0.089530 Epoch[021] Batch [0899]/[1880] Speed: 114.968187 samples/sec accuracy=33.968750 loss=2.975177 lr=0.089640 Epoch[021] Batch [0949]/[1880] Speed: 107.604617 samples/sec accuracy=34.019737 loss=2.974328 lr=0.089750 Epoch[021] Batch [0999]/[1880] Speed: 107.365185 samples/sec accuracy=34.017969 loss=2.974352 lr=0.089860 Epoch[021] Batch [1049]/[1880] Speed: 108.276830 samples/sec accuracy=33.988095 loss=2.974237 lr=0.089969 Epoch[021] Batch [1099]/[1880] Speed: 106.456141 samples/sec accuracy=33.955256 loss=2.975978 lr=0.090079 Epoch[021] Batch [1149]/[1880] Speed: 107.853209 samples/sec accuracy=33.919837 loss=2.977060 lr=0.090189 Epoch[021] Batch [1199]/[1880] Speed: 108.629941 samples/sec accuracy=33.874349 loss=2.978839 lr=0.090299 Epoch[021] Batch [1249]/[1880] Speed: 106.377405 samples/sec accuracy=33.903750 loss=2.977077 lr=0.090408 Epoch[021] Batch [1299]/[1880] Speed: 109.090255 samples/sec accuracy=33.860577 loss=2.979074 lr=0.090518 Epoch[021] Batch [1349]/[1880] Speed: 103.122314 samples/sec accuracy=33.903356 loss=2.979930 lr=0.090628 Epoch[021] Batch [1399]/[1880] Speed: 111.223504 samples/sec accuracy=33.902344 loss=2.981275 lr=0.090738 Epoch[021] Batch [1449]/[1880] Speed: 108.685682 samples/sec accuracy=33.864763 loss=2.982418 lr=0.090848 Epoch[021] Batch [1499]/[1880] Speed: 109.462139 samples/sec accuracy=33.858333 loss=2.981829 lr=0.090957 Epoch[021] Batch [1549]/[1880] Speed: 101.464533 samples/sec accuracy=33.839214 loss=2.982022 lr=0.091067 Epoch[021] Batch [1599]/[1880] Speed: 112.860615 samples/sec accuracy=33.853516 loss=2.982055 lr=0.091177 Epoch[021] Batch [1649]/[1880] Speed: 109.304710 samples/sec accuracy=33.855587 loss=2.981263 lr=0.091287 Epoch[021] Batch [1699]/[1880] Speed: 102.831150 samples/sec accuracy=33.849265 loss=2.981058 lr=0.091396 Epoch[021] Batch [1749]/[1880] Speed: 111.113873 samples/sec accuracy=33.848214 loss=2.981381 lr=0.091506 Epoch[021] Batch [1799]/[1880] Speed: 104.030841 samples/sec accuracy=33.835503 loss=2.980766 lr=0.091616 Epoch[021] Batch [1849]/[1880] Speed: 110.096572 samples/sec accuracy=33.833193 loss=2.982516 lr=0.091726 Batch [0049]/[0151]: acc-top1=30.437500 acc-top5=55.187500 Batch [0099]/[0151]: acc-top1=34.460938 acc-top5=59.742188 Batch [0149]/[0151]: acc-top1=33.260417 acc-top5=59.713542 [Epoch 021] training: accuracy=33.838514 loss=2.982771 [Epoch 021] speed: 106 samples/sec time cost: 2453.264184 [Epoch 021] validation: acc-top1=33.210886 acc-top5=59.644040 loss=3.052385 Epoch[022] Batch [0049]/[1880] Speed: 76.647982 samples/sec accuracy=34.953125 loss=2.913749 lr=0.091901 Epoch[022] Batch [0099]/[1880] Speed: 113.058853 samples/sec accuracy=34.945312 loss=2.919774 lr=0.092011 Epoch[022] Batch [0149]/[1880] Speed: 105.693844 samples/sec accuracy=34.343750 loss=2.941514 lr=0.092121 Epoch[022] Batch [0199]/[1880] Speed: 107.290554 samples/sec accuracy=34.437500 loss=2.942981 lr=0.092231 Epoch[022] Batch [0249]/[1880] Speed: 112.185978 samples/sec accuracy=34.209375 loss=2.957661 lr=0.092340 Epoch[022] Batch [0299]/[1880] Speed: 102.466440 samples/sec accuracy=34.184896 loss=2.962446 lr=0.092450 Epoch[022] Batch [0349]/[1880] Speed: 112.519882 samples/sec accuracy=34.127232 loss=2.967682 lr=0.092560 Epoch[022] Batch [0399]/[1880] Speed: 103.175363 samples/sec accuracy=34.054688 loss=2.972600 lr=0.092670 Epoch[022] Batch [0449]/[1880] Speed: 111.961795 samples/sec accuracy=34.114583 loss=2.972919 lr=0.092779 Epoch[022] Batch [0499]/[1880] Speed: 110.759537 samples/sec accuracy=34.265625 loss=2.969965 lr=0.092889 Epoch[022] Batch [0549]/[1880] Speed: 102.074336 samples/sec accuracy=34.254261 loss=2.969068 lr=0.092999 Epoch[022] Batch [0599]/[1880] Speed: 112.312086 samples/sec accuracy=34.303385 loss=2.968424 lr=0.093109 Epoch[022] Batch [0649]/[1880] Speed: 104.311287 samples/sec accuracy=34.260817 loss=2.970015 lr=0.093219 Epoch[022] Batch [0699]/[1880] Speed: 107.533149 samples/sec accuracy=34.150670 loss=2.973884 lr=0.093328 Epoch[022] Batch [0749]/[1880] Speed: 107.276619 samples/sec accuracy=34.151042 loss=2.973838 lr=0.093438 Epoch[022] Batch [0799]/[1880] Speed: 108.038855 samples/sec accuracy=34.117188 loss=2.976432 lr=0.093548 Epoch[022] Batch [0849]/[1880] Speed: 109.356150 samples/sec accuracy=34.132353 loss=2.976444 lr=0.093658 Epoch[022] Batch [0899]/[1880] Speed: 108.529147 samples/sec accuracy=34.166667 loss=2.973673 lr=0.093767 Epoch[022] Batch [0949]/[1880] Speed: 103.690527 samples/sec accuracy=34.106908 loss=2.974111 lr=0.093877 Epoch[022] Batch [0999]/[1880] Speed: 109.952517 samples/sec accuracy=34.157812 loss=2.973209 lr=0.093987 Epoch[022] Batch [1049]/[1880] Speed: 105.579484 samples/sec accuracy=34.165179 loss=2.972496 lr=0.094097 Epoch[022] Batch [1099]/[1880] Speed: 106.231399 samples/sec accuracy=34.191761 loss=2.971080 lr=0.094206 Epoch[022] Batch [1149]/[1880] Speed: 112.950959 samples/sec accuracy=34.179348 loss=2.970697 lr=0.094316 Epoch[022] Batch [1199]/[1880] Speed: 100.365573 samples/sec accuracy=34.166667 loss=2.971481 lr=0.094426 Epoch[022] Batch [1249]/[1880] Speed: 112.565683 samples/sec accuracy=34.181875 loss=2.970659 lr=0.094536 Epoch[022] Batch [1299]/[1880] Speed: 108.342392 samples/sec accuracy=34.162260 loss=2.970895 lr=0.094646 Epoch[022] Batch [1349]/[1880] Speed: 106.610486 samples/sec accuracy=34.141782 loss=2.971652 lr=0.094755 Epoch[022] Batch [1399]/[1880] Speed: 115.030384 samples/sec accuracy=34.130580 loss=2.971775 lr=0.094865 Epoch[022] Batch [1449]/[1880] Speed: 97.692101 samples/sec accuracy=34.116379 loss=2.972074 lr=0.094975 Epoch[022] Batch [1499]/[1880] Speed: 115.426895 samples/sec accuracy=34.105729 loss=2.973002 lr=0.095085 Epoch[022] Batch [1549]/[1880] Speed: 105.195379 samples/sec accuracy=34.069556 loss=2.973946 lr=0.095194 Epoch[022] Batch [1599]/[1880] Speed: 110.917547 samples/sec accuracy=34.060059 loss=2.974518 lr=0.095304 Epoch[022] Batch [1649]/[1880] Speed: 106.009880 samples/sec accuracy=34.039773 loss=2.975182 lr=0.095414 Epoch[022] Batch [1699]/[1880] Speed: 109.433563 samples/sec accuracy=34.018842 loss=2.974990 lr=0.095524 Epoch[022] Batch [1749]/[1880] Speed: 106.665007 samples/sec accuracy=34.027679 loss=2.974741 lr=0.095633 Epoch[022] Batch [1799]/[1880] Speed: 106.973243 samples/sec accuracy=34.008681 loss=2.975967 lr=0.095743 Epoch[022] Batch [1849]/[1880] Speed: 107.172598 samples/sec accuracy=34.026605 loss=2.975100 lr=0.095853 Batch [0049]/[0151]: acc-top1=32.093750 acc-top5=59.046875 Batch [0099]/[0151]: acc-top1=35.914062 acc-top5=61.617188 Batch [0149]/[0151]: acc-top1=34.296875 acc-top5=60.947917 [Epoch 022] training: accuracy=34.025931 loss=2.975565 [Epoch 022] speed: 107 samples/sec time cost: 2448.129725 [Epoch 022] validation: acc-top1=34.292219 acc-top5=60.973717 loss=2.964743 Epoch[023] Batch [0049]/[1879] Speed: 75.697611 samples/sec accuracy=34.921875 loss=2.924622 lr=0.096029 Epoch[023] Batch [0099]/[1879] Speed: 114.736084 samples/sec accuracy=34.625000 loss=2.937056 lr=0.096138 Epoch[023] Batch [0149]/[1879] Speed: 102.882230 samples/sec accuracy=34.515625 loss=2.953737 lr=0.096248 Epoch[023] Batch 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accuracy=34.546875 loss=2.952832 lr=0.097346 Epoch[023] Batch [0699]/[1879] Speed: 112.047175 samples/sec accuracy=34.491071 loss=2.955507 lr=0.097456 Epoch[023] Batch [0749]/[1879] Speed: 101.036822 samples/sec accuracy=34.491667 loss=2.955307 lr=0.097565 Epoch[023] Batch [0799]/[1879] Speed: 112.137429 samples/sec accuracy=34.445312 loss=2.955264 lr=0.097675 Epoch[023] Batch [0849]/[1879] Speed: 103.375621 samples/sec accuracy=34.470588 loss=2.955290 lr=0.097785 Epoch[023] Batch [0899]/[1879] Speed: 113.658594 samples/sec accuracy=34.456597 loss=2.953476 lr=0.097895 Epoch[023] Batch [0949]/[1879] Speed: 100.935557 samples/sec accuracy=34.481908 loss=2.954424 lr=0.098004 Epoch[023] Batch [0999]/[1879] Speed: 116.622316 samples/sec accuracy=34.507031 loss=2.954065 lr=0.098114 Epoch[023] Batch [1049]/[1879] Speed: 100.932164 samples/sec accuracy=34.459077 loss=2.955598 lr=0.098224 Epoch[023] Batch [1099]/[1879] Speed: 111.795754 samples/sec accuracy=34.452415 loss=2.955793 lr=0.098334 Epoch[023] Batch [1149]/[1879] Speed: 104.654114 samples/sec accuracy=34.470109 loss=2.954987 lr=0.098443 Epoch[023] Batch [1199]/[1879] Speed: 108.057162 samples/sec accuracy=34.432943 loss=2.954750 lr=0.098553 Epoch[023] Batch [1249]/[1879] Speed: 114.396463 samples/sec accuracy=34.408125 loss=2.955820 lr=0.098663 Epoch[023] Batch [1299]/[1879] Speed: 98.597071 samples/sec accuracy=34.399038 loss=2.956978 lr=0.098773 Epoch[023] Batch [1349]/[1879] Speed: 113.462470 samples/sec accuracy=34.353009 loss=2.957911 lr=0.098883 Epoch[023] Batch [1399]/[1879] Speed: 103.120060 samples/sec accuracy=34.346540 loss=2.959187 lr=0.098992 Epoch[023] Batch [1449]/[1879] Speed: 110.089274 samples/sec accuracy=34.312500 loss=2.959961 lr=0.099102 Epoch[023] Batch [1499]/[1879] Speed: 101.065328 samples/sec accuracy=34.312500 loss=2.960220 lr=0.099212 Epoch[023] Batch [1549]/[1879] Speed: 115.456610 samples/sec accuracy=34.296371 loss=2.961156 lr=0.099322 Epoch[023] Batch [1599]/[1879] Speed: 104.718433 samples/sec accuracy=34.270020 loss=2.961777 lr=0.099431 Epoch[023] Batch [1649]/[1879] Speed: 108.083980 samples/sec accuracy=34.251420 loss=2.961800 lr=0.099541 Epoch[023] Batch [1699]/[1879] Speed: 112.205685 samples/sec accuracy=34.192096 loss=2.964673 lr=0.099651 Epoch[023] Batch [1749]/[1879] Speed: 100.853216 samples/sec accuracy=34.153125 loss=2.965912 lr=0.099761 Epoch[023] Batch [1799]/[1879] Speed: 114.728963 samples/sec accuracy=34.171441 loss=2.965082 lr=0.099870 Epoch[023] Batch [1849]/[1879] Speed: 100.282682 samples/sec accuracy=34.173986 loss=2.965371 lr=0.099980 Batch [0049]/[0151]: acc-top1=31.296875 acc-top5=56.687500 Batch [0099]/[0151]: acc-top1=33.429688 acc-top5=58.859375 Batch [0149]/[0151]: acc-top1=32.093750 acc-top5=58.802083 [Epoch 023] training: accuracy=34.189562 loss=2.965050 [Epoch 023] speed: 107 samples/sec time cost: 2448.099856 [Epoch 023] validation: acc-top1=32.031250 acc-top5=58.759313 loss=3.148305 Epoch[024] Batch [0049]/[1880] Speed: 76.224468 samples/sec accuracy=35.593750 loss=2.921321 lr=0.100000 Epoch[024] Batch [0099]/[1880] Speed: 112.834666 samples/sec accuracy=35.070312 loss=2.939179 lr=0.100000 Epoch[024] Batch [0149]/[1880] Speed: 101.710693 samples/sec accuracy=35.218750 loss=2.933013 lr=0.100000 Epoch[024] Batch [0199]/[1880] Speed: 114.793055 samples/sec accuracy=34.957031 loss=2.937837 lr=0.100000 Epoch[024] Batch [0249]/[1880] Speed: 102.331896 samples/sec accuracy=35.028125 loss=2.934087 lr=0.100000 Epoch[024] Batch [0299]/[1880] Speed: 108.033941 samples/sec accuracy=34.921875 loss=2.937535 lr=0.100000 Epoch[024] Batch [0349]/[1880] Speed: 114.444397 samples/sec accuracy=35.006696 loss=2.930538 lr=0.100000 Epoch[024] Batch [0399]/[1880] Speed: 102.130545 samples/sec accuracy=34.935547 loss=2.930054 lr=0.100000 Epoch[024] Batch [0449]/[1880] Speed: 112.048670 samples/sec accuracy=34.836806 loss=2.932133 lr=0.099999 Epoch[024] Batch [0499]/[1880] Speed: 103.086687 samples/sec accuracy=34.725000 loss=2.936201 lr=0.099999 Epoch[024] Batch [0549]/[1880] Speed: 111.438324 samples/sec accuracy=34.778409 loss=2.932848 lr=0.099999 Epoch[024] Batch [0599]/[1880] Speed: 104.500751 samples/sec accuracy=34.828125 loss=2.932035 lr=0.099999 Epoch[024] Batch [0649]/[1880] Speed: 112.896966 samples/sec accuracy=34.808894 loss=2.936908 lr=0.099999 Epoch[024] Batch [0699]/[1880] Speed: 99.422772 samples/sec accuracy=34.821429 loss=2.935188 lr=0.099999 Epoch[024] Batch [0749]/[1880] Speed: 115.126908 samples/sec accuracy=34.822917 loss=2.938538 lr=0.099999 Epoch[024] Batch [0799]/[1880] Speed: 102.945411 samples/sec accuracy=34.828125 loss=2.939782 lr=0.099998 Epoch[024] Batch [0849]/[1880] Speed: 111.673351 samples/sec accuracy=34.821691 loss=2.939847 lr=0.099998 Epoch[024] Batch [0899]/[1880] Speed: 112.276229 samples/sec accuracy=34.782986 loss=2.941564 lr=0.099998 Epoch[024] Batch [0949]/[1880] Speed: 101.756145 samples/sec accuracy=34.748355 loss=2.941117 lr=0.099998 Epoch[024] Batch [0999]/[1880] Speed: 115.301347 samples/sec accuracy=34.714062 loss=2.942819 lr=0.099998 Epoch[024] Batch [1049]/[1880] Speed: 105.916313 samples/sec accuracy=34.659226 loss=2.945082 lr=0.099997 Epoch[024] Batch [1099]/[1880] Speed: 109.447350 samples/sec accuracy=34.599432 loss=2.945512 lr=0.099997 Epoch[024] Batch [1149]/[1880] Speed: 109.028147 samples/sec accuracy=34.562500 loss=2.945849 lr=0.099997 Epoch[024] Batch [1199]/[1880] Speed: 103.623048 samples/sec accuracy=34.571615 loss=2.945841 lr=0.099996 Epoch[024] Batch [1249]/[1880] Speed: 110.324097 samples/sec accuracy=34.530625 loss=2.947382 lr=0.099996 Epoch[024] Batch [1299]/[1880] Speed: 106.602303 samples/sec accuracy=34.578125 loss=2.947092 lr=0.099996 Epoch[024] Batch [1349]/[1880] Speed: 107.381554 samples/sec accuracy=34.585069 loss=2.946946 lr=0.099996 Epoch[024] Batch [1399]/[1880] Speed: 109.341741 samples/sec accuracy=34.566406 loss=2.948441 lr=0.099995 Epoch[024] Batch [1449]/[1880] Speed: 105.944935 samples/sec accuracy=34.572198 loss=2.948606 lr=0.099995 Epoch[024] Batch [1499]/[1880] Speed: 111.712823 samples/sec accuracy=34.556250 loss=2.949282 lr=0.099995 Epoch[024] Batch [1549]/[1880] Speed: 105.456087 samples/sec accuracy=34.536290 loss=2.949073 lr=0.099994 Epoch[024] Batch [1599]/[1880] Speed: 110.618763 samples/sec accuracy=34.534180 loss=2.948262 lr=0.099994 Epoch[024] Batch [1649]/[1880] Speed: 109.061820 samples/sec accuracy=34.517519 loss=2.950004 lr=0.099993 Epoch[024] Batch [1699]/[1880] Speed: 105.532752 samples/sec accuracy=34.533548 loss=2.949335 lr=0.099993 Epoch[024] Batch [1749]/[1880] Speed: 114.503712 samples/sec accuracy=34.548661 loss=2.949004 lr=0.099993 Epoch[024] Batch [1799]/[1880] Speed: 100.333898 samples/sec accuracy=34.575521 loss=2.947190 lr=0.099992 Epoch[024] Batch [1849]/[1880] Speed: 113.182620 samples/sec accuracy=34.569679 loss=2.947178 lr=0.099992 Batch [0049]/[0151]: acc-top1=32.765625 acc-top5=58.328125 Batch [0099]/[0151]: acc-top1=37.125000 acc-top5=62.312500 Batch [0149]/[0151]: acc-top1=35.296875 acc-top5=61.744792 [Epoch 024] training: accuracy=34.567819 loss=2.947756 [Epoch 024] speed: 107 samples/sec time cost: 2445.506814 [Epoch 024] validation: acc-top1=35.295944 acc-top5=61.739445 loss=2.909310 Epoch[025] Batch [0049]/[1880] Speed: 74.465071 samples/sec accuracy=35.500000 loss=2.897627 lr=0.099991 Epoch[025] Batch [0099]/[1880] Speed: 114.752626 samples/sec accuracy=35.781250 loss=2.894225 lr=0.099991 Epoch[025] Batch [0149]/[1880] Speed: 101.140249 samples/sec accuracy=35.546875 loss=2.905391 lr=0.099990 Epoch[025] Batch [0199]/[1880] Speed: 111.175383 samples/sec accuracy=35.433594 loss=2.909566 lr=0.099990 Epoch[025] Batch [0249]/[1880] Speed: 103.309947 samples/sec accuracy=35.253125 loss=2.915461 lr=0.099989 Epoch[025] Batch [0299]/[1880] Speed: 111.071517 samples/sec accuracy=35.216146 loss=2.913768 lr=0.099989 Epoch[025] Batch [0349]/[1880] Speed: 108.751841 samples/sec accuracy=35.216518 loss=2.913374 lr=0.099988 Epoch[025] Batch [0399]/[1880] Speed: 108.495814 samples/sec accuracy=35.132812 loss=2.917424 lr=0.099988 Epoch[025] Batch [0449]/[1880] Speed: 104.698479 samples/sec accuracy=35.185764 loss=2.908852 lr=0.099987 Epoch[025] Batch [0499]/[1880] Speed: 106.060752 samples/sec accuracy=35.196875 loss=2.908216 lr=0.099986 Epoch[025] Batch [0549]/[1880] Speed: 108.232349 samples/sec accuracy=35.163352 loss=2.908721 lr=0.099986 Epoch[025] Batch [0599]/[1880] Speed: 108.174708 samples/sec accuracy=35.192708 loss=2.907032 lr=0.099985 Epoch[025] Batch [0649]/[1880] Speed: 107.781501 samples/sec accuracy=35.181490 loss=2.907424 lr=0.099985 Epoch[025] Batch [0699]/[1880] Speed: 101.260975 samples/sec accuracy=35.130580 loss=2.909397 lr=0.099984 Epoch[025] Batch [0749]/[1880] Speed: 117.179316 samples/sec accuracy=35.062500 loss=2.913137 lr=0.099983 Epoch[025] Batch [0799]/[1880] Speed: 104.385048 samples/sec accuracy=35.041992 loss=2.914179 lr=0.099983 Epoch[025] Batch [0849]/[1880] Speed: 107.874139 samples/sec accuracy=35.036765 loss=2.915265 lr=0.099982 Epoch[025] Batch [0899]/[1880] Speed: 108.600147 samples/sec accuracy=35.114583 loss=2.912087 lr=0.099981 Epoch[025] Batch [0949]/[1880] Speed: 104.067119 samples/sec accuracy=35.102796 loss=2.913802 lr=0.099981 Epoch[025] Batch [0999]/[1880] Speed: 114.181182 samples/sec accuracy=35.104687 loss=2.913654 lr=0.099980 Epoch[025] Batch [1049]/[1880] Speed: 107.098194 samples/sec accuracy=35.108631 loss=2.914491 lr=0.099979 Epoch[025] Batch [1099]/[1880] Speed: 105.966008 samples/sec accuracy=35.080966 loss=2.915786 lr=0.099979 Epoch[025] Batch [1149]/[1880] Speed: 110.506494 samples/sec accuracy=35.052989 loss=2.917780 lr=0.099978 Epoch[025] Batch [1199]/[1880] Speed: 103.568277 samples/sec accuracy=35.106120 loss=2.915809 lr=0.099977 Epoch[025] Batch [1249]/[1880] Speed: 106.058819 samples/sec accuracy=35.087500 loss=2.916810 lr=0.099977 Epoch[025] Batch [1299]/[1880] Speed: 109.586482 samples/sec accuracy=35.086538 loss=2.916989 lr=0.099976 Epoch[025] Batch [1349]/[1880] Speed: 107.910147 samples/sec accuracy=35.086806 loss=2.915815 lr=0.099975 Epoch[025] Batch [1399]/[1880] Speed: 107.275553 samples/sec accuracy=35.097098 loss=2.915137 lr=0.099974 Epoch[025] Batch [1449]/[1880] Speed: 104.331533 samples/sec accuracy=35.079741 loss=2.914561 lr=0.099974 Epoch[025] Batch [1499]/[1880] Speed: 112.639859 samples/sec accuracy=35.089063 loss=2.915901 lr=0.099973 Epoch[025] Batch [1549]/[1880] Speed: 105.712217 samples/sec accuracy=35.090222 loss=2.916945 lr=0.099972 Epoch[025] Batch [1599]/[1880] Speed: 108.479007 samples/sec accuracy=35.072754 loss=2.918251 lr=0.099971 Epoch[025] Batch [1649]/[1880] Speed: 106.851285 samples/sec accuracy=35.060606 loss=2.919183 lr=0.099970 Epoch[025] Batch [1699]/[1880] Speed: 107.604039 samples/sec accuracy=35.044577 loss=2.918576 lr=0.099969 Epoch[025] Batch [1749]/[1880] Speed: 109.739208 samples/sec accuracy=35.058036 loss=2.918223 lr=0.099969 Epoch[025] Batch [1799]/[1880] Speed: 109.138056 samples/sec accuracy=35.042101 loss=2.918950 lr=0.099968 Epoch[025] Batch [1849]/[1880] Speed: 108.263327 samples/sec accuracy=35.047720 loss=2.919151 lr=0.099967 Batch [0049]/[0151]: acc-top1=33.359375 acc-top5=59.781250 Batch [0099]/[0151]: acc-top1=36.960938 acc-top5=62.695312 Batch [0149]/[0151]: acc-top1=36.093750 acc-top5=62.697917 [Epoch 025] training: accuracy=35.045296 loss=2.920296 [Epoch 025] speed: 106 samples/sec time cost: 2453.210382 [Epoch 025] validation: acc-top1=36.046151 acc-top5=62.593129 loss=2.873643 Epoch[026] Batch [0049]/[1880] Speed: 74.983745 samples/sec accuracy=37.281250 loss=2.821869 lr=0.099965 Epoch[026] Batch [0099]/[1880] Speed: 114.116641 samples/sec accuracy=36.945312 loss=2.844317 lr=0.099964 Epoch[026] Batch [0149]/[1880] Speed: 108.311014 samples/sec accuracy=36.411458 loss=2.865280 lr=0.099964 Epoch[026] Batch [0199]/[1880] Speed: 107.339930 samples/sec accuracy=36.121094 loss=2.877786 lr=0.099963 Epoch[026] Batch [0249]/[1880] Speed: 109.378916 samples/sec accuracy=36.084375 loss=2.883298 lr=0.099962 Epoch[026] Batch [0299]/[1880] Speed: 102.308762 samples/sec accuracy=35.893229 loss=2.888283 lr=0.099961 Epoch[026] Batch [0349]/[1880] Speed: 115.715811 samples/sec accuracy=35.863839 loss=2.891007 lr=0.099960 Epoch[026] Batch [0399]/[1880] Speed: 102.791663 samples/sec accuracy=35.814453 loss=2.893219 lr=0.099959 Epoch[026] Batch [0449]/[1880] Speed: 108.535289 samples/sec accuracy=35.810764 loss=2.891346 lr=0.099958 Epoch[026] Batch [0499]/[1880] Speed: 110.211896 samples/sec accuracy=35.821875 loss=2.891902 lr=0.099957 Epoch[026] Batch [0549]/[1880] Speed: 109.924281 samples/sec accuracy=35.694602 loss=2.896001 lr=0.099956 Epoch[026] Batch [0599]/[1880] Speed: 104.837527 samples/sec accuracy=35.694010 loss=2.896524 lr=0.099955 Epoch[026] Batch [0649]/[1880] Speed: 107.172115 samples/sec accuracy=35.741587 loss=2.894063 lr=0.099954 Epoch[026] Batch [0699]/[1880] Speed: 109.692119 samples/sec accuracy=35.787946 loss=2.893872 lr=0.099953 Epoch[026] Batch [0749]/[1880] Speed: 106.965854 samples/sec accuracy=35.793750 loss=2.889731 lr=0.099952 Epoch[026] Batch [0799]/[1880] Speed: 114.734124 samples/sec accuracy=35.779297 loss=2.889000 lr=0.099950 Epoch[026] Batch [0849]/[1880] Speed: 101.288886 samples/sec accuracy=35.778493 loss=2.888546 lr=0.099949 Epoch[026] Batch [0899]/[1880] Speed: 115.309715 samples/sec accuracy=35.783854 loss=2.887285 lr=0.099948 Epoch[026] Batch [0949]/[1880] Speed: 101.124175 samples/sec accuracy=35.801809 loss=2.887321 lr=0.099947 Epoch[026] Batch [0999]/[1880] Speed: 114.279102 samples/sec accuracy=35.757031 loss=2.889200 lr=0.099946 Epoch[026] Batch [1049]/[1880] Speed: 104.576769 samples/sec accuracy=35.703869 loss=2.891223 lr=0.099945 Epoch[026] Batch [1099]/[1880] Speed: 107.870475 samples/sec accuracy=35.702415 loss=2.891007 lr=0.099944 Epoch[026] Batch [1149]/[1880] Speed: 109.355183 samples/sec accuracy=35.678668 loss=2.891895 lr=0.099943 Epoch[026] Batch [1199]/[1880] Speed: 105.742790 samples/sec accuracy=35.665365 loss=2.892568 lr=0.099941 Epoch[026] Batch [1249]/[1880] Speed: 108.861092 samples/sec accuracy=35.635625 loss=2.894117 lr=0.099940 Epoch[026] Batch [1299]/[1880] Speed: 106.303342 samples/sec accuracy=35.605168 loss=2.895369 lr=0.099939 Epoch[026] Batch [1349]/[1880] Speed: 108.941941 samples/sec accuracy=35.554398 loss=2.897803 lr=0.099938 Epoch[026] Batch [1399]/[1880] Speed: 108.066738 samples/sec accuracy=35.507812 loss=2.898669 lr=0.099937 Epoch[026] Batch [1449]/[1880] Speed: 109.893483 samples/sec accuracy=35.507543 loss=2.899303 lr=0.099935 Epoch[026] Batch [1499]/[1880] Speed: 103.841124 samples/sec accuracy=35.503646 loss=2.900124 lr=0.099934 Epoch[026] Batch [1549]/[1880] Speed: 115.184495 samples/sec accuracy=35.525202 loss=2.900462 lr=0.099933 Epoch[026] Batch [1599]/[1880] Speed: 102.696738 samples/sec accuracy=35.525391 loss=2.899933 lr=0.099932 Epoch[026] Batch [1649]/[1880] Speed: 110.260242 samples/sec accuracy=35.556345 loss=2.899184 lr=0.099930 Epoch[026] Batch [1699]/[1880] Speed: 106.324326 samples/sec accuracy=35.533548 loss=2.900267 lr=0.099929 Epoch[026] Batch [1749]/[1880] Speed: 110.186512 samples/sec accuracy=35.548214 loss=2.900144 lr=0.099928 Epoch[026] Batch [1799]/[1880] Speed: 106.781816 samples/sec accuracy=35.552517 loss=2.900943 lr=0.099926 Epoch[026] Batch [1849]/[1880] Speed: 104.186115 samples/sec accuracy=35.533361 loss=2.901775 lr=0.099925 Batch [0049]/[0151]: acc-top1=31.750000 acc-top5=58.171875 Batch [0099]/[0151]: acc-top1=35.812500 acc-top5=61.640625 Batch [0149]/[0151]: acc-top1=34.880208 acc-top5=62.317708 [Epoch 026] training: accuracy=35.544382 loss=2.901154 [Epoch 026] speed: 107 samples/sec time cost: 2445.496049 [Epoch 026] validation: acc-top1=34.819950 acc-top5=62.225786 loss=2.956203 Epoch[027] Batch [0049]/[1880] Speed: 75.839834 samples/sec accuracy=37.187500 loss=2.770271 lr=0.099923 Epoch[027] Batch 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accuracy=36.163352 loss=2.857961 lr=0.099909 Epoch[027] Batch [0599]/[1880] Speed: 111.400397 samples/sec accuracy=36.101562 loss=2.861464 lr=0.099907 Epoch[027] Batch [0649]/[1880] Speed: 104.942656 samples/sec accuracy=36.070913 loss=2.863375 lr=0.099906 Epoch[027] Batch [0699]/[1880] Speed: 114.542969 samples/sec accuracy=36.031250 loss=2.863067 lr=0.099905 Epoch[027] Batch [0749]/[1880] Speed: 99.124051 samples/sec accuracy=36.028125 loss=2.863677 lr=0.099903 Epoch[027] Batch [0799]/[1880] Speed: 116.279373 samples/sec accuracy=35.955078 loss=2.866759 lr=0.099901 Epoch[027] Batch [0849]/[1880] Speed: 106.889329 samples/sec accuracy=35.948529 loss=2.866612 lr=0.099900 Epoch[027] Batch [0899]/[1880] Speed: 107.192074 samples/sec accuracy=35.901042 loss=2.869599 lr=0.099898 Epoch[027] Batch [0949]/[1880] Speed: 111.266214 samples/sec accuracy=35.921053 loss=2.868928 lr=0.099897 Epoch[027] Batch [0999]/[1880] Speed: 104.915292 samples/sec accuracy=35.899219 loss=2.870878 lr=0.099895 Epoch[027] Batch [1049]/[1880] Speed: 106.705931 samples/sec accuracy=35.796875 loss=2.874579 lr=0.099894 Epoch[027] Batch [1099]/[1880] Speed: 109.101295 samples/sec accuracy=35.838068 loss=2.872354 lr=0.099892 Epoch[027] Batch [1149]/[1880] Speed: 105.931281 samples/sec accuracy=35.875000 loss=2.871696 lr=0.099891 Epoch[027] Batch [1199]/[1880] Speed: 111.594142 samples/sec accuracy=35.884766 loss=2.872289 lr=0.099889 Epoch[027] Batch [1249]/[1880] Speed: 108.082871 samples/sec accuracy=35.865000 loss=2.872202 lr=0.099887 Epoch[027] Batch [1299]/[1880] Speed: 106.304574 samples/sec accuracy=35.840144 loss=2.873112 lr=0.099886 Epoch[027] Batch [1349]/[1880] Speed: 111.539654 samples/sec accuracy=35.846644 loss=2.872380 lr=0.099884 Epoch[027] Batch [1399]/[1880] Speed: 107.192908 samples/sec accuracy=35.815290 loss=2.874129 lr=0.099882 Epoch[027] Batch [1449]/[1880] Speed: 109.583734 samples/sec accuracy=35.796336 loss=2.876334 lr=0.099881 Epoch[027] Batch [1499]/[1880] Speed: 104.714325 samples/sec accuracy=35.794792 loss=2.876138 lr=0.099879 Epoch[027] Batch [1549]/[1880] Speed: 109.270556 samples/sec accuracy=35.819556 loss=2.876317 lr=0.099877 Epoch[027] Batch [1599]/[1880] Speed: 110.185957 samples/sec accuracy=35.836914 loss=2.876198 lr=0.099876 Epoch[027] Batch [1649]/[1880] Speed: 103.918764 samples/sec accuracy=35.824811 loss=2.875608 lr=0.099874 Epoch[027] Batch [1699]/[1880] Speed: 110.975835 samples/sec accuracy=35.800092 loss=2.876364 lr=0.099872 Epoch[027] Batch [1749]/[1880] Speed: 108.124208 samples/sec accuracy=35.802232 loss=2.876978 lr=0.099870 Epoch[027] Batch [1799]/[1880] Speed: 107.360256 samples/sec accuracy=35.795573 loss=2.877890 lr=0.099869 Epoch[027] Batch [1849]/[1880] Speed: 110.684904 samples/sec accuracy=35.766470 loss=2.879179 lr=0.099867 Batch [0049]/[0151]: acc-top1=31.390625 acc-top5=58.421875 Batch [0099]/[0151]: acc-top1=35.585938 acc-top5=61.945313 Batch [0149]/[0151]: acc-top1=34.901042 acc-top5=61.807292 [Epoch 027] training: accuracy=35.752576 loss=2.879196 [Epoch 027] speed: 107 samples/sec time cost: 2440.321142 [Epoch 027] validation: acc-top1=34.819950 acc-top5=61.760141 loss=2.947622 Epoch[028] Batch [0049]/[1880] Speed: 76.384246 samples/sec accuracy=36.531250 loss=2.820535 lr=0.099864 Epoch[028] Batch [0099]/[1880] Speed: 109.149460 samples/sec accuracy=36.453125 loss=2.821860 lr=0.099862 Epoch[028] Batch [0149]/[1880] Speed: 107.755063 samples/sec accuracy=36.375000 loss=2.834527 lr=0.099860 Epoch[028] Batch [0199]/[1880] Speed: 106.477335 samples/sec accuracy=36.316406 loss=2.837602 lr=0.099859 Epoch[028] Batch [0249]/[1880] Speed: 108.870953 samples/sec accuracy=36.200000 loss=2.839848 lr=0.099857 Epoch[028] Batch [0299]/[1880] Speed: 104.681959 samples/sec accuracy=36.315104 loss=2.836034 lr=0.099855 Epoch[028] Batch [0349]/[1880] Speed: 110.697354 samples/sec accuracy=36.272321 loss=2.844016 lr=0.099853 Epoch[028] Batch [0399]/[1880] Speed: 113.420368 samples/sec accuracy=36.332031 loss=2.839818 lr=0.099851 Epoch[028] Batch [0449]/[1880] Speed: 104.717191 samples/sec accuracy=36.295139 loss=2.838816 lr=0.099849 Epoch[028] Batch [0499]/[1880] Speed: 112.747541 samples/sec accuracy=36.253125 loss=2.840925 lr=0.099847 Epoch[028] Batch [0549]/[1880] Speed: 102.050389 samples/sec accuracy=36.217330 loss=2.844380 lr=0.099846 Epoch[028] Batch [0599]/[1880] Speed: 112.664012 samples/sec accuracy=36.197917 loss=2.845629 lr=0.099844 Epoch[028] Batch [0649]/[1880] Speed: 101.934865 samples/sec accuracy=36.159856 loss=2.850882 lr=0.099842 Epoch[028] Batch [0699]/[1880] Speed: 113.553221 samples/sec accuracy=36.187500 loss=2.851493 lr=0.099840 Epoch[028] Batch [0749]/[1880] Speed: 100.525641 samples/sec accuracy=36.212500 loss=2.849701 lr=0.099838 Epoch[028] Batch [0799]/[1880] Speed: 113.381275 samples/sec accuracy=36.163086 loss=2.851999 lr=0.099836 Epoch[028] Batch [0849]/[1880] Speed: 108.911304 samples/sec accuracy=36.169118 loss=2.851438 lr=0.099834 Epoch[028] Batch [0899]/[1880] Speed: 103.811644 samples/sec accuracy=36.131076 loss=2.852588 lr=0.099832 Epoch[028] Batch [0949]/[1880] Speed: 117.398306 samples/sec accuracy=36.137336 loss=2.851408 lr=0.099830 Epoch[028] Batch [0999]/[1880] Speed: 105.082388 samples/sec accuracy=36.122656 loss=2.852173 lr=0.099828 Epoch[028] Batch [1049]/[1880] Speed: 106.429575 samples/sec accuracy=36.122768 loss=2.852613 lr=0.099826 Epoch[028] Batch [1099]/[1880] Speed: 109.313817 samples/sec accuracy=36.093040 loss=2.853656 lr=0.099824 Epoch[028] Batch [1149]/[1880] Speed: 106.829386 samples/sec accuracy=36.093750 loss=2.855584 lr=0.099822 Epoch[028] Batch [1199]/[1880] Speed: 108.129977 samples/sec accuracy=36.067057 loss=2.856666 lr=0.099820 Epoch[028] Batch [1249]/[1880] Speed: 108.955708 samples/sec accuracy=35.999375 loss=2.858965 lr=0.099818 Epoch[028] Batch [1299]/[1880] Speed: 107.126742 samples/sec accuracy=36.017428 loss=2.859001 lr=0.099816 Epoch[028] Batch [1349]/[1880] Speed: 107.495459 samples/sec accuracy=36.036458 loss=2.859179 lr=0.099813 Epoch[028] Batch [1399]/[1880] Speed: 112.537174 samples/sec accuracy=36.007812 loss=2.861285 lr=0.099811 Epoch[028] Batch [1449]/[1880] Speed: 104.536894 samples/sec accuracy=36.011315 loss=2.860978 lr=0.099809 Epoch[028] Batch [1499]/[1880] Speed: 106.466005 samples/sec accuracy=36.001562 loss=2.861241 lr=0.099807 Epoch[028] Batch [1549]/[1880] Speed: 113.290566 samples/sec accuracy=36.036794 loss=2.860428 lr=0.099805 Epoch[028] Batch [1599]/[1880] Speed: 106.718288 samples/sec accuracy=36.060547 loss=2.859573 lr=0.099803 Epoch[028] Batch [1649]/[1880] Speed: 105.658857 samples/sec accuracy=36.029830 loss=2.861741 lr=0.099801 Epoch[028] Batch [1699]/[1880] Speed: 108.349629 samples/sec accuracy=36.005974 loss=2.862296 lr=0.099798 Epoch[028] Batch [1749]/[1880] Speed: 102.674603 samples/sec accuracy=36.049554 loss=2.861189 lr=0.099796 Epoch[028] Batch [1799]/[1880] Speed: 113.873124 samples/sec accuracy=36.074653 loss=2.860164 lr=0.099794 Epoch[028] Batch [1849]/[1880] Speed: 104.642480 samples/sec accuracy=36.084459 loss=2.860276 lr=0.099792 Batch [0049]/[0151]: acc-top1=33.656250 acc-top5=59.000000 Batch [0099]/[0151]: acc-top1=38.140625 acc-top5=62.968750 Batch [0149]/[0151]: acc-top1=36.234375 acc-top5=62.890625 [Epoch 028] training: accuracy=36.084192 loss=2.860668 [Epoch 028] speed: 107 samples/sec time cost: 2442.760938 [Epoch 028] validation: acc-top1=36.191018 acc-top5=62.841474 loss=2.880832 Epoch[029] Batch [0049]/[1879] Speed: 77.517164 samples/sec accuracy=36.968750 loss=2.821734 lr=0.099788 Epoch[029] Batch [0099]/[1879] Speed: 108.230279 samples/sec accuracy=36.578125 loss=2.836015 lr=0.099786 Epoch[029] Batch [0149]/[1879] Speed: 107.158961 samples/sec accuracy=36.458333 loss=2.838850 lr=0.099784 Epoch[029] Batch [0199]/[1879] Speed: 105.507102 samples/sec accuracy=36.398438 loss=2.843892 lr=0.099782 Epoch[029] Batch [0249]/[1879] Speed: 112.634258 samples/sec accuracy=36.462500 loss=2.845583 lr=0.099779 Epoch[029] Batch [0299]/[1879] Speed: 103.268036 samples/sec accuracy=36.450521 loss=2.848380 lr=0.099777 Epoch[029] Batch [0349]/[1879] Speed: 112.788937 samples/sec accuracy=36.604911 loss=2.838884 lr=0.099775 Epoch[029] Batch [0399]/[1879] Speed: 104.937472 samples/sec accuracy=36.542969 loss=2.837956 lr=0.099772 Epoch[029] Batch [0449]/[1879] Speed: 108.312579 samples/sec accuracy=36.579861 loss=2.839491 lr=0.099770 Epoch[029] Batch [0499]/[1879] Speed: 107.247101 samples/sec accuracy=36.525000 loss=2.842100 lr=0.099768 Epoch[029] Batch [0549]/[1879] Speed: 106.237015 samples/sec accuracy=36.555398 loss=2.841127 lr=0.099765 Epoch[029] Batch [0599]/[1879] Speed: 108.123260 samples/sec accuracy=36.558594 loss=2.841595 lr=0.099763 Epoch[029] Batch [0649]/[1879] Speed: 108.693410 samples/sec accuracy=36.611779 loss=2.839606 lr=0.099761 Epoch[029] Batch [0699]/[1879] Speed: 107.351670 samples/sec accuracy=36.685268 loss=2.835095 lr=0.099758 Epoch[029] Batch [0749]/[1879] Speed: 106.257328 samples/sec accuracy=36.685417 loss=2.835032 lr=0.099756 Epoch[029] Batch [0799]/[1879] Speed: 112.694079 samples/sec accuracy=36.683594 loss=2.837044 lr=0.099754 Epoch[029] Batch [0849]/[1879] Speed: 103.853607 samples/sec accuracy=36.718750 loss=2.837167 lr=0.099751 Epoch[029] Batch [0899]/[1879] Speed: 112.062373 samples/sec accuracy=36.704861 loss=2.839821 lr=0.099749 Epoch[029] Batch [0949]/[1879] Speed: 103.324200 samples/sec accuracy=36.723684 loss=2.839718 lr=0.099746 Epoch[029] Batch [0999]/[1879] Speed: 110.050577 samples/sec accuracy=36.739844 loss=2.839297 lr=0.099744 Epoch[029] Batch [1049]/[1879] Speed: 107.401260 samples/sec accuracy=36.720982 loss=2.839661 lr=0.099741 Epoch[029] Batch [1099]/[1879] Speed: 105.549815 samples/sec accuracy=36.693892 loss=2.841232 lr=0.099739 Epoch[029] Batch [1149]/[1879] Speed: 111.933368 samples/sec accuracy=36.686141 loss=2.840859 lr=0.099736 Epoch[029] Batch [1199]/[1879] Speed: 107.710543 samples/sec accuracy=36.624349 loss=2.843930 lr=0.099734 Epoch[029] Batch [1249]/[1879] Speed: 111.782971 samples/sec accuracy=36.608750 loss=2.843420 lr=0.099731 Epoch[029] Batch [1299]/[1879] Speed: 106.065867 samples/sec accuracy=36.568510 loss=2.844498 lr=0.099729 Epoch[029] Batch [1349]/[1879] Speed: 107.725454 samples/sec accuracy=36.586227 loss=2.845372 lr=0.099726 Epoch[029] Batch [1399]/[1879] Speed: 109.926497 samples/sec accuracy=36.551897 loss=2.846207 lr=0.099724 Epoch[029] Batch [1449]/[1879] Speed: 105.985272 samples/sec accuracy=36.528556 loss=2.846278 lr=0.099721 Epoch[029] Batch [1499]/[1879] Speed: 115.593201 samples/sec accuracy=36.530208 loss=2.846682 lr=0.099719 Epoch[029] Batch [1549]/[1879] Speed: 102.014095 samples/sec accuracy=36.529738 loss=2.846400 lr=0.099716 Epoch[029] Batch [1599]/[1879] Speed: 111.803167 samples/sec accuracy=36.522949 loss=2.846774 lr=0.099713 Epoch[029] Batch [1649]/[1879] Speed: 106.150820 samples/sec accuracy=36.495265 loss=2.847185 lr=0.099711 Epoch[029] Batch [1699]/[1879] Speed: 109.331943 samples/sec accuracy=36.462776 loss=2.848261 lr=0.099708 Epoch[029] Batch [1749]/[1879] Speed: 107.557340 samples/sec accuracy=36.477232 loss=2.848705 lr=0.099706 Epoch[029] Batch [1799]/[1879] Speed: 106.211457 samples/sec accuracy=36.464410 loss=2.848292 lr=0.099703 Epoch[029] Batch [1849]/[1879] Speed: 111.462361 samples/sec accuracy=36.471284 loss=2.847157 lr=0.099700 Batch [0049]/[0151]: acc-top1=35.828125 acc-top5=62.062500 Batch [0099]/[0151]: acc-top1=39.835938 acc-top5=64.890625 Batch [0149]/[0151]: acc-top1=38.614583 acc-top5=64.770833 [Epoch 029] training: accuracy=36.489240 loss=2.847212 [Epoch 029] speed: 107 samples/sec time cost: 2439.159525 [Epoch 029] validation: acc-top1=38.555464 acc-top5=64.714404 loss=2.729008 Epoch[030] Batch [0049]/[1880] Speed: 74.666910 samples/sec accuracy=37.281250 loss=2.777059 lr=0.099696 Epoch[030] Batch [0099]/[1880] Speed: 115.285072 samples/sec accuracy=37.968750 loss=2.782826 lr=0.099693 Epoch[030] Batch [0149]/[1880] Speed: 103.708884 samples/sec accuracy=37.718750 loss=2.785032 lr=0.099691 Epoch[030] Batch [0199]/[1880] Speed: 108.270405 samples/sec accuracy=37.371094 loss=2.802240 lr=0.099688 Epoch[030] Batch [0249]/[1880] Speed: 115.293434 samples/sec accuracy=37.481250 loss=2.791357 lr=0.099685 Epoch[030] Batch [0299]/[1880] Speed: 99.159833 samples/sec accuracy=37.364583 loss=2.799817 lr=0.099683 Epoch[030] Batch [0349]/[1880] Speed: 114.750072 samples/sec accuracy=37.328125 loss=2.804979 lr=0.099680 Epoch[030] Batch [0399]/[1880] Speed: 101.560216 samples/sec accuracy=37.230469 loss=2.811972 lr=0.099677 Epoch[030] Batch [0449]/[1880] Speed: 111.129705 samples/sec accuracy=37.067708 loss=2.814257 lr=0.099674 Epoch[030] Batch [0499]/[1880] Speed: 103.286924 samples/sec accuracy=37.060938 loss=2.816299 lr=0.099672 Epoch[030] Batch [0549]/[1880] Speed: 115.808284 samples/sec accuracy=37.045455 loss=2.818863 lr=0.099669 Epoch[030] Batch [0599]/[1880] Speed: 102.942571 samples/sec accuracy=36.981771 loss=2.822609 lr=0.099666 Epoch[030] Batch [0649]/[1880] Speed: 113.926326 samples/sec accuracy=37.021635 loss=2.822283 lr=0.099663 Epoch[030] Batch [0699]/[1880] Speed: 98.729874 samples/sec accuracy=36.945312 loss=2.824750 lr=0.099660 Epoch[030] Batch [0749]/[1880] Speed: 113.730635 samples/sec accuracy=37.003125 loss=2.825091 lr=0.099657 Epoch[030] Batch [0799]/[1880] Speed: 105.174261 samples/sec accuracy=36.947266 loss=2.826645 lr=0.099655 Epoch[030] Batch [0849]/[1880] Speed: 110.734628 samples/sec accuracy=36.874081 loss=2.828641 lr=0.099652 Epoch[030] Batch [0899]/[1880] Speed: 112.059862 samples/sec accuracy=36.882812 loss=2.828463 lr=0.099649 Epoch[030] Batch [0949]/[1880] Speed: 104.108852 samples/sec accuracy=36.887336 loss=2.827845 lr=0.099646 Epoch[030] Batch [0999]/[1880] Speed: 105.871814 samples/sec accuracy=36.925781 loss=2.826638 lr=0.099643 Epoch[030] Batch [1049]/[1880] Speed: 107.844182 samples/sec accuracy=36.944196 loss=2.827095 lr=0.099640 Epoch[030] Batch [1099]/[1880] Speed: 107.927310 samples/sec accuracy=36.916903 loss=2.827590 lr=0.099637 Epoch[030] Batch [1149]/[1880] Speed: 110.252093 samples/sec accuracy=36.864130 loss=2.828789 lr=0.099634 Epoch[030] Batch [1199]/[1880] Speed: 106.786535 samples/sec accuracy=36.845052 loss=2.829601 lr=0.099631 Epoch[030] Batch [1249]/[1880] Speed: 106.888122 samples/sec accuracy=36.850000 loss=2.830357 lr=0.099629 Epoch[030] Batch [1299]/[1880] Speed: 108.065516 samples/sec accuracy=36.843149 loss=2.830505 lr=0.099626 Epoch[030] Batch [1349]/[1880] Speed: 108.658949 samples/sec accuracy=36.818866 loss=2.830840 lr=0.099623 Epoch[030] Batch [1399]/[1880] Speed: 106.205804 samples/sec accuracy=36.787388 loss=2.830539 lr=0.099620 Epoch[030] Batch [1449]/[1880] Speed: 107.036860 samples/sec accuracy=36.750000 loss=2.831500 lr=0.099617 Epoch[030] Batch [1499]/[1880] Speed: 110.425714 samples/sec accuracy=36.750521 loss=2.831523 lr=0.099614 Epoch[030] Batch [1549]/[1880] Speed: 109.738344 samples/sec accuracy=36.729839 loss=2.832643 lr=0.099611 Epoch[030] Batch [1599]/[1880] Speed: 107.869934 samples/sec accuracy=36.736328 loss=2.831547 lr=0.099608 Epoch[030] Batch [1649]/[1880] Speed: 104.509408 samples/sec accuracy=36.752367 loss=2.830911 lr=0.099604 Epoch[030] Batch [1699]/[1880] Speed: 114.640983 samples/sec accuracy=36.738971 loss=2.831577 lr=0.099601 Epoch[030] Batch [1749]/[1880] Speed: 104.135215 samples/sec accuracy=36.737946 loss=2.831516 lr=0.099598 Epoch[030] Batch [1799]/[1880] Speed: 110.776933 samples/sec accuracy=36.740017 loss=2.831242 lr=0.099595 Epoch[030] Batch [1849]/[1880] Speed: 104.755837 samples/sec accuracy=36.733108 loss=2.832795 lr=0.099592 Batch [0049]/[0151]: acc-top1=34.796875 acc-top5=60.875000 Batch [0099]/[0151]: acc-top1=38.304688 acc-top5=63.718750 Batch [0149]/[0151]: acc-top1=36.630208 acc-top5=63.317708 [Epoch 030] training: accuracy=36.739528 loss=2.833159 [Epoch 030] speed: 107 samples/sec time cost: 2443.729918 [Epoch 030] validation: acc-top1=36.579056 acc-top5=63.255381 loss=2.891960 Epoch[031] Batch [0049]/[1880] Speed: 77.014479 samples/sec accuracy=38.046875 loss=2.798106 lr=0.099587 Epoch[031] Batch [0099]/[1880] Speed: 109.607911 samples/sec accuracy=38.140625 loss=2.789484 lr=0.099584 Epoch[031] Batch [0149]/[1880] Speed: 111.321810 samples/sec accuracy=37.953125 loss=2.795192 lr=0.099581 Epoch[031] Batch [0199]/[1880] Speed: 100.389556 samples/sec accuracy=37.906250 loss=2.797253 lr=0.099578 Epoch[031] Batch [0249]/[1880] Speed: 112.954536 samples/sec accuracy=37.603125 loss=2.800744 lr=0.099575 Epoch[031] Batch [0299]/[1880] Speed: 101.902141 samples/sec accuracy=37.645833 loss=2.796595 lr=0.099571 Epoch[031] Batch [0349]/[1880] Speed: 112.891925 samples/sec accuracy=37.587054 loss=2.794885 lr=0.099568 Epoch[031] Batch [0399]/[1880] Speed: 111.254351 samples/sec accuracy=37.392578 loss=2.801224 lr=0.099565 Epoch[031] Batch [0449]/[1880] Speed: 104.441106 samples/sec accuracy=37.434028 loss=2.799378 lr=0.099562 Epoch[031] Batch [0499]/[1880] Speed: 109.309191 samples/sec accuracy=37.412500 loss=2.800100 lr=0.099559 Epoch[031] Batch [0549]/[1880] Speed: 108.463565 samples/sec accuracy=37.414773 loss=2.797063 lr=0.099555 Epoch[031] Batch [0599]/[1880] Speed: 104.245701 samples/sec accuracy=37.324219 loss=2.799671 lr=0.099552 Epoch[031] Batch [0649]/[1880] Speed: 112.099574 samples/sec accuracy=37.271635 loss=2.801740 lr=0.099549 Epoch[031] Batch [0699]/[1880] Speed: 104.032650 samples/sec accuracy=37.244420 loss=2.803452 lr=0.099546 Epoch[031] Batch [0749]/[1880] Speed: 109.127063 samples/sec accuracy=37.201042 loss=2.804886 lr=0.099542 Epoch[031] Batch [0799]/[1880] Speed: 113.857930 samples/sec accuracy=37.279297 loss=2.803292 lr=0.099539 Epoch[031] Batch [0849]/[1880] Speed: 101.130689 samples/sec accuracy=37.248162 loss=2.804788 lr=0.099536 Epoch[031] Batch [0899]/[1880] Speed: 111.771747 samples/sec accuracy=37.266493 loss=2.805479 lr=0.099533 Epoch[031] Batch 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accuracy=37.201451 loss=2.813462 lr=0.099499 Epoch[031] Batch [1449]/[1880] Speed: 101.183812 samples/sec accuracy=37.164871 loss=2.816043 lr=0.099495 Epoch[031] Batch [1499]/[1880] Speed: 114.735756 samples/sec accuracy=37.113542 loss=2.817823 lr=0.099492 Epoch[031] Batch [1549]/[1880] Speed: 104.018325 samples/sec accuracy=37.090726 loss=2.817841 lr=0.099488 Epoch[031] Batch [1599]/[1880] Speed: 109.383265 samples/sec accuracy=37.091797 loss=2.816974 lr=0.099485 Epoch[031] Batch [1649]/[1880] Speed: 106.434738 samples/sec accuracy=37.101799 loss=2.816040 lr=0.099482 Epoch[031] Batch [1699]/[1880] Speed: 109.110587 samples/sec accuracy=37.091912 loss=2.816800 lr=0.099478 Epoch[031] Batch [1749]/[1880] Speed: 104.878071 samples/sec accuracy=37.105357 loss=2.817001 lr=0.099474 Epoch[031] Batch [1799]/[1880] Speed: 107.000117 samples/sec accuracy=37.121528 loss=2.816037 lr=0.099471 Epoch[031] Batch [1849]/[1880] Speed: 116.588634 samples/sec accuracy=37.111909 loss=2.815931 lr=0.099467 Batch [0049]/[0151]: acc-top1=36.000000 acc-top5=61.656250 Batch [0099]/[0151]: acc-top1=38.539062 acc-top5=63.679688 Batch [0149]/[0151]: acc-top1=37.385417 acc-top5=63.640625 [Epoch 031] training: accuracy=37.096908 loss=2.817232 [Epoch 031] speed: 107 samples/sec time cost: 2437.215901 [Epoch 031] validation: acc-top1=37.329263 acc-top5=63.612376 loss=2.817642 Epoch[032] Batch [0049]/[1880] Speed: 76.786703 samples/sec accuracy=37.718750 loss=2.789927 lr=0.099462 Epoch[032] Batch [0099]/[1880] Speed: 113.685167 samples/sec accuracy=37.781250 loss=2.780484 lr=0.099458 Epoch[032] Batch [0149]/[1880] Speed: 104.923329 samples/sec accuracy=37.723958 loss=2.782639 lr=0.099455 Epoch[032] Batch [0199]/[1880] Speed: 109.935827 samples/sec accuracy=37.562500 loss=2.781580 lr=0.099451 Epoch[032] Batch [0249]/[1880] Speed: 109.936686 samples/sec accuracy=37.362500 loss=2.793767 lr=0.099447 Epoch[032] Batch [0299]/[1880] Speed: 104.907793 samples/sec accuracy=37.335938 loss=2.791096 lr=0.099444 Epoch[032] Batch [0349]/[1880] Speed: 114.770865 samples/sec accuracy=37.390625 loss=2.789293 lr=0.099440 Epoch[032] Batch [0399]/[1880] Speed: 101.702150 samples/sec accuracy=37.359375 loss=2.789139 lr=0.099437 Epoch[032] Batch [0449]/[1880] Speed: 114.652962 samples/sec accuracy=37.265625 loss=2.791452 lr=0.099433 Epoch[032] Batch [0499]/[1880] Speed: 106.779954 samples/sec accuracy=37.237500 loss=2.790517 lr=0.099429 Epoch[032] Batch [0549]/[1880] Speed: 109.349920 samples/sec accuracy=37.225852 loss=2.791983 lr=0.099426 Epoch[032] Batch [0599]/[1880] Speed: 105.519310 samples/sec accuracy=37.231771 loss=2.793126 lr=0.099422 Epoch[032] Batch [0649]/[1880] Speed: 109.821824 samples/sec accuracy=37.331731 loss=2.790961 lr=0.099418 Epoch[032] Batch [0699]/[1880] Speed: 113.188609 samples/sec accuracy=37.392857 loss=2.788747 lr=0.099415 Epoch[032] Batch [0749]/[1880] Speed: 103.477997 samples/sec accuracy=37.429167 loss=2.786661 lr=0.099411 Epoch[032] Batch [0799]/[1880] Speed: 110.287849 samples/sec accuracy=37.418945 loss=2.789061 lr=0.099407 Epoch[032] Batch [0849]/[1880] Speed: 106.206625 samples/sec accuracy=37.414522 loss=2.790990 lr=0.099403 Epoch[032] Batch [0899]/[1880] Speed: 110.564269 samples/sec accuracy=37.441840 loss=2.791944 lr=0.099400 Epoch[032] Batch [0949]/[1880] Speed: 102.693850 samples/sec accuracy=37.456414 loss=2.792702 lr=0.099396 Epoch[032] Batch [0999]/[1880] Speed: 113.773387 samples/sec accuracy=37.406250 loss=2.794381 lr=0.099392 Epoch[032] Batch [1049]/[1880] Speed: 105.923568 samples/sec accuracy=37.409970 loss=2.795604 lr=0.099388 Epoch[032] Batch [1099]/[1880] Speed: 108.151190 samples/sec accuracy=37.381392 loss=2.798212 lr=0.099385 Epoch[032] Batch [1149]/[1880] Speed: 110.990318 samples/sec accuracy=37.436821 loss=2.796502 lr=0.099381 Epoch[032] Batch [1199]/[1880] Speed: 104.828158 samples/sec accuracy=37.403646 loss=2.797647 lr=0.099377 Epoch[032] Batch [1249]/[1880] Speed: 110.902878 samples/sec accuracy=37.370625 loss=2.798780 lr=0.099373 Epoch[032] Batch [1299]/[1880] Speed: 105.343261 samples/sec accuracy=37.356971 loss=2.799813 lr=0.099369 Epoch[032] Batch [1349]/[1880] Speed: 108.579923 samples/sec accuracy=37.325231 loss=2.801809 lr=0.099365 Epoch[032] Batch [1399]/[1880] Speed: 106.803278 samples/sec accuracy=37.333705 loss=2.801392 lr=0.099362 Epoch[032] Batch [1449]/[1880] Speed: 106.763357 samples/sec accuracy=37.312500 loss=2.803099 lr=0.099358 Epoch[032] Batch [1499]/[1880] Speed: 105.469148 samples/sec accuracy=37.310938 loss=2.803496 lr=0.099354 Epoch[032] Batch [1549]/[1880] Speed: 113.556767 samples/sec accuracy=37.302419 loss=2.804423 lr=0.099350 Epoch[032] Batch [1599]/[1880] Speed: 99.802052 samples/sec accuracy=37.316895 loss=2.803933 lr=0.099346 Epoch[032] Batch [1649]/[1880] Speed: 116.161587 samples/sec accuracy=37.313447 loss=2.803649 lr=0.099342 Epoch[032] Batch [1699]/[1880] Speed: 112.704367 samples/sec accuracy=37.276654 loss=2.804570 lr=0.099338 Epoch[032] Batch [1749]/[1880] Speed: 101.530805 samples/sec accuracy=37.278125 loss=2.804848 lr=0.099334 Epoch[032] Batch [1799]/[1880] Speed: 112.980530 samples/sec accuracy=37.271701 loss=2.805711 lr=0.099330 Epoch[032] Batch [1849]/[1880] Speed: 103.785995 samples/sec accuracy=37.279561 loss=2.805395 lr=0.099326 Batch [0049]/[0151]: acc-top1=33.578125 acc-top5=59.296875 Batch [0099]/[0151]: acc-top1=37.476562 acc-top5=62.632812 Batch [0149]/[0151]: acc-top1=36.250000 acc-top5=62.812500 [Epoch 032] training: accuracy=37.261885 loss=2.806326 [Epoch 032] speed: 107 samples/sec time cost: 2437.822983 [Epoch 032] validation: acc-top1=36.263452 acc-top5=62.789735 loss=2.909899 Epoch[033] Batch [0049]/[1880] Speed: 78.403114 samples/sec accuracy=37.546875 loss=2.755299 lr=0.099320 Epoch[033] Batch [0099]/[1880] Speed: 106.583624 samples/sec accuracy=37.750000 loss=2.753763 lr=0.099316 Epoch[033] Batch [0149]/[1880] Speed: 113.358063 samples/sec accuracy=37.927083 loss=2.755671 lr=0.099312 Epoch[033] Batch [0199]/[1880] Speed: 101.766345 samples/sec accuracy=37.832031 loss=2.759518 lr=0.099308 Epoch[033] Batch [0249]/[1880] Speed: 113.705353 samples/sec accuracy=37.771875 loss=2.759757 lr=0.099304 Epoch[033] Batch [0299]/[1880] Speed: 100.616985 samples/sec accuracy=37.718750 loss=2.772123 lr=0.099300 Epoch[033] Batch [0349]/[1880] Speed: 113.904767 samples/sec accuracy=37.705357 loss=2.773089 lr=0.099296 Epoch[033] Batch [0399]/[1880] Speed: 112.009618 samples/sec accuracy=37.761719 loss=2.769966 lr=0.099292 Epoch[033] Batch [0449]/[1880] Speed: 102.555285 samples/sec accuracy=37.779514 loss=2.773894 lr=0.099287 Epoch[033] Batch [0499]/[1880] Speed: 112.430469 samples/sec accuracy=37.748438 loss=2.775016 lr=0.099283 Epoch[033] Batch [0549]/[1880] Speed: 101.719751 samples/sec accuracy=37.711648 loss=2.775253 lr=0.099279 Epoch[033] Batch [0599]/[1880] Speed: 113.797057 samples/sec accuracy=37.703125 loss=2.775303 lr=0.099275 Epoch[033] Batch [0649]/[1880] Speed: 101.624794 samples/sec accuracy=37.657452 loss=2.775454 lr=0.099271 Epoch[033] Batch [0699]/[1880] Speed: 115.178717 samples/sec accuracy=37.680804 loss=2.776381 lr=0.099267 Epoch[033] Batch [0749]/[1880] Speed: 104.836421 samples/sec accuracy=37.643750 loss=2.779124 lr=0.099263 Epoch[033] Batch [0799]/[1880] Speed: 110.217872 samples/sec accuracy=37.590820 loss=2.779865 lr=0.099259 Epoch[033] Batch [0849]/[1880] Speed: 102.327863 samples/sec accuracy=37.577206 loss=2.781288 lr=0.099254 Epoch[033] Batch [0899]/[1880] Speed: 116.044430 samples/sec accuracy=37.543403 loss=2.782917 lr=0.099250 Epoch[033] Batch [0949]/[1880] Speed: 101.963144 samples/sec accuracy=37.560033 loss=2.782041 lr=0.099246 Epoch[033] Batch [0999]/[1880] Speed: 112.119902 samples/sec accuracy=37.564062 loss=2.781740 lr=0.099242 Epoch[033] Batch [1049]/[1880] Speed: 107.512839 samples/sec accuracy=37.606399 loss=2.780161 lr=0.099238 Epoch[033] Batch [1099]/[1880] Speed: 107.244148 samples/sec accuracy=37.585227 loss=2.780735 lr=0.099233 Epoch[033] Batch [1149]/[1880] Speed: 105.150037 samples/sec accuracy=37.543478 loss=2.782573 lr=0.099229 Epoch[033] Batch [1199]/[1880] Speed: 109.365128 samples/sec accuracy=37.567708 loss=2.782137 lr=0.099225 Epoch[033] Batch [1249]/[1880] Speed: 111.705344 samples/sec accuracy=37.534375 loss=2.783915 lr=0.099221 Epoch[033] Batch [1299]/[1880] Speed: 104.589194 samples/sec accuracy=37.493389 loss=2.783797 lr=0.099216 Epoch[033] Batch [1349]/[1880] Speed: 104.066048 samples/sec accuracy=37.501736 loss=2.784403 lr=0.099212 Epoch[033] Batch [1399]/[1880] Speed: 114.790784 samples/sec accuracy=37.517299 loss=2.784577 lr=0.099208 Epoch[033] Batch [1449]/[1880] Speed: 101.805545 samples/sec accuracy=37.494612 loss=2.786230 lr=0.099203 Epoch[033] Batch [1499]/[1880] Speed: 111.504645 samples/sec accuracy=37.496875 loss=2.787093 lr=0.099199 Epoch[033] Batch [1549]/[1880] Speed: 104.888595 samples/sec accuracy=37.482359 loss=2.787897 lr=0.099195 Epoch[033] Batch [1599]/[1880] Speed: 109.687318 samples/sec accuracy=37.472656 loss=2.788708 lr=0.099190 Epoch[033] Batch [1649]/[1880] Speed: 107.418399 samples/sec accuracy=37.466856 loss=2.788919 lr=0.099186 Epoch[033] Batch [1699]/[1880] Speed: 109.090849 samples/sec accuracy=37.478860 loss=2.787840 lr=0.099182 Epoch[033] Batch [1749]/[1880] Speed: 105.374766 samples/sec accuracy=37.446875 loss=2.788667 lr=0.099177 Epoch[033] Batch [1799]/[1880] Speed: 109.031832 samples/sec accuracy=37.456597 loss=2.788858 lr=0.099173 Epoch[033] Batch [1849]/[1880] Speed: 107.749299 samples/sec accuracy=37.448480 loss=2.789664 lr=0.099168 Batch [0049]/[0151]: acc-top1=35.468750 acc-top5=62.000000 Batch [0099]/[0151]: acc-top1=39.632812 acc-top5=64.968750 Batch [0149]/[0151]: acc-top1=37.916667 acc-top5=64.187500 [Epoch 033] training: accuracy=37.449717 loss=2.789466 [Epoch 033] speed: 107 samples/sec time cost: 2445.004386 [Epoch 033] validation: acc-top1=37.913907 acc-top5=64.155629 loss=2.781952 Epoch[034] Batch [0049]/[1879] Speed: 77.185534 samples/sec accuracy=38.375000 loss=2.730179 lr=0.099161 Epoch[034] Batch [0099]/[1879] Speed: 111.853964 samples/sec accuracy=38.570312 loss=2.745659 lr=0.099157 Epoch[034] Batch [0149]/[1879] Speed: 105.230524 samples/sec accuracy=37.963542 loss=2.769847 lr=0.099152 Epoch[034] Batch [0199]/[1879] Speed: 110.364680 samples/sec accuracy=38.035156 loss=2.771913 lr=0.099148 Epoch[034] Batch [0249]/[1879] Speed: 111.827214 samples/sec accuracy=37.896875 loss=2.774103 lr=0.099144 Epoch[034] Batch [0299]/[1879] Speed: 107.522708 samples/sec accuracy=37.809896 loss=2.781174 lr=0.099139 Epoch[034] Batch [0349]/[1879] Speed: 109.902976 samples/sec accuracy=37.861607 loss=2.778485 lr=0.099135 Epoch[034] Batch [0399]/[1879] Speed: 109.076292 samples/sec accuracy=37.853516 loss=2.777889 lr=0.099130 Epoch[034] Batch [0449]/[1879] Speed: 108.369390 samples/sec accuracy=37.770833 loss=2.779920 lr=0.099126 Epoch[034] Batch [0499]/[1879] Speed: 111.216453 samples/sec accuracy=37.759375 loss=2.777849 lr=0.099121 Epoch[034] Batch [0549]/[1879] Speed: 106.981282 samples/sec accuracy=37.778409 loss=2.774910 lr=0.099116 Epoch[034] Batch [0599]/[1879] Speed: 112.579297 samples/sec accuracy=37.759115 loss=2.774904 lr=0.099112 Epoch[034] Batch [0649]/[1879] Speed: 104.723936 samples/sec accuracy=37.709135 loss=2.775731 lr=0.099107 Epoch[034] Batch [0699]/[1879] Speed: 114.798715 samples/sec accuracy=37.685268 loss=2.776422 lr=0.099103 Epoch[034] Batch [0749]/[1879] Speed: 101.186401 samples/sec accuracy=37.742708 loss=2.775597 lr=0.099098 Epoch[034] Batch [0799]/[1879] Speed: 116.117582 samples/sec accuracy=37.692383 loss=2.778215 lr=0.099094 Epoch[034] Batch [0849]/[1879] Speed: 105.853912 samples/sec accuracy=37.671875 loss=2.778531 lr=0.099089 Epoch[034] Batch [0899]/[1879] Speed: 113.498927 samples/sec accuracy=37.683160 loss=2.779814 lr=0.099084 Epoch[034] Batch [0949]/[1879] Speed: 114.607943 samples/sec accuracy=37.724507 loss=2.777844 lr=0.099080 Epoch[034] Batch [0999]/[1879] Speed: 102.229882 samples/sec accuracy=37.683594 loss=2.779631 lr=0.099075 Epoch[034] Batch [1049]/[1879] Speed: 116.153746 samples/sec accuracy=37.691964 loss=2.781644 lr=0.099070 Epoch[034] Batch [1099]/[1879] Speed: 102.457182 samples/sec accuracy=37.725142 loss=2.781268 lr=0.099066 Epoch[034] Batch [1149]/[1879] Speed: 114.478417 samples/sec accuracy=37.719429 loss=2.781675 lr=0.099061 Epoch[034] Batch [1199]/[1879] Speed: 106.467689 samples/sec accuracy=37.748698 loss=2.780417 lr=0.099056 Epoch[034] Batch [1249]/[1879] Speed: 113.380385 samples/sec accuracy=37.721875 loss=2.781785 lr=0.099052 Epoch[034] Batch [1299]/[1879] Speed: 103.415043 samples/sec accuracy=37.747596 loss=2.781309 lr=0.099047 Epoch[034] Batch [1349]/[1879] Speed: 113.746294 samples/sec accuracy=37.725116 loss=2.781670 lr=0.099042 Epoch[034] Batch [1399]/[1879] Speed: 109.901236 samples/sec accuracy=37.717076 loss=2.782360 lr=0.099037 Epoch[034] Batch [1449]/[1879] Speed: 109.867706 samples/sec accuracy=37.737608 loss=2.782082 lr=0.099033 Epoch[034] Batch [1499]/[1879] Speed: 110.887500 samples/sec accuracy=37.723958 loss=2.783259 lr=0.099028 Epoch[034] Batch [1549]/[1879] Speed: 107.820380 samples/sec accuracy=37.737399 loss=2.783201 lr=0.099023 Epoch[034] Batch [1599]/[1879] Speed: 108.657676 samples/sec accuracy=37.739258 loss=2.783262 lr=0.099018 Epoch[034] Batch [1649]/[1879] Speed: 109.360187 samples/sec accuracy=37.742424 loss=2.783168 lr=0.099014 Epoch[034] Batch [1699]/[1879] Speed: 111.442805 samples/sec accuracy=37.737132 loss=2.783354 lr=0.099009 Epoch[034] Batch [1749]/[1879] Speed: 104.298941 samples/sec accuracy=37.716518 loss=2.783716 lr=0.099004 Epoch[034] Batch [1799]/[1879] Speed: 114.605144 samples/sec accuracy=37.703993 loss=2.783738 lr=0.098999 Epoch[034] Batch [1849]/[1879] Speed: 107.562558 samples/sec accuracy=37.697635 loss=2.782203 lr=0.098994 Batch [0049]/[0151]: acc-top1=35.812500 acc-top5=62.187500 Batch [0099]/[0151]: acc-top1=39.906250 acc-top5=65.570312 Batch [0149]/[0151]: acc-top1=38.968750 acc-top5=65.098958 [Epoch 034] training: accuracy=37.690427 loss=2.782435 [Epoch 034] speed: 108 samples/sec time cost: 2414.636534 [Epoch 034] validation: acc-top1=38.917632 acc-top5=65.086921 loss=2.717383 Epoch[035] Batch [0049]/[1880] Speed: 74.674199 samples/sec accuracy=37.859375 loss=2.725395 lr=0.098987 Epoch[035] Batch [0099]/[1880] Speed: 116.204085 samples/sec accuracy=38.054688 loss=2.736275 lr=0.098982 Epoch[035] Batch [0149]/[1880] Speed: 105.585200 samples/sec accuracy=38.276042 loss=2.730475 lr=0.098977 Epoch[035] Batch [0199]/[1880] Speed: 109.629835 samples/sec accuracy=38.328125 loss=2.735877 lr=0.098972 Epoch[035] Batch [0249]/[1880] Speed: 112.585719 samples/sec accuracy=38.231250 loss=2.748938 lr=0.098967 Epoch[035] Batch [0299]/[1880] Speed: 107.590851 samples/sec accuracy=38.335938 loss=2.749219 lr=0.098962 Epoch[035] Batch [0349]/[1880] Speed: 110.066833 samples/sec accuracy=38.189732 loss=2.756387 lr=0.098957 Epoch[035] Batch [0399]/[1880] Speed: 108.585703 samples/sec accuracy=38.214844 loss=2.754142 lr=0.098952 Epoch[035] Batch [0449]/[1880] Speed: 106.889997 samples/sec accuracy=38.194444 loss=2.752631 lr=0.098947 Epoch[035] Batch [0499]/[1880] Speed: 113.593882 samples/sec accuracy=38.107813 loss=2.755961 lr=0.098942 Epoch[035] Batch [0549]/[1880] Speed: 107.258559 samples/sec accuracy=38.065341 loss=2.761295 lr=0.098937 Epoch[035] Batch [0599]/[1880] Speed: 114.771438 samples/sec accuracy=38.152344 loss=2.762679 lr=0.098932 Epoch[035] Batch [0649]/[1880] Speed: 107.268794 samples/sec accuracy=38.191106 loss=2.759969 lr=0.098927 Epoch[035] Batch [0699]/[1880] Speed: 109.365202 samples/sec accuracy=38.128348 loss=2.761522 lr=0.098922 Epoch[035] Batch [0749]/[1880] Speed: 111.169103 samples/sec accuracy=38.146875 loss=2.760195 lr=0.098917 Epoch[035] Batch [0799]/[1880] Speed: 103.692151 samples/sec accuracy=38.168945 loss=2.758965 lr=0.098912 Epoch[035] Batch 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accuracy=38.007212 loss=2.765236 lr=0.098861 Epoch[035] Batch [1349]/[1880] Speed: 112.338237 samples/sec accuracy=37.943287 loss=2.768329 lr=0.098856 Epoch[035] Batch [1399]/[1880] Speed: 105.529836 samples/sec accuracy=37.957031 loss=2.768278 lr=0.098851 Epoch[035] Batch [1449]/[1880] Speed: 114.896888 samples/sec accuracy=37.951509 loss=2.768047 lr=0.098846 Epoch[035] Batch [1499]/[1880] Speed: 102.866456 samples/sec accuracy=37.968750 loss=2.768310 lr=0.098841 Epoch[035] Batch [1549]/[1880] Speed: 117.510700 samples/sec accuracy=37.973286 loss=2.768254 lr=0.098835 Epoch[035] Batch [1599]/[1880] Speed: 102.530923 samples/sec accuracy=37.971191 loss=2.768430 lr=0.098830 Epoch[035] Batch [1649]/[1880] Speed: 116.173180 samples/sec accuracy=37.928504 loss=2.769925 lr=0.098825 Epoch[035] Batch [1699]/[1880] Speed: 105.842649 samples/sec accuracy=37.924632 loss=2.770704 lr=0.098820 Epoch[035] Batch [1749]/[1880] Speed: 110.080593 samples/sec accuracy=37.923214 loss=2.770670 lr=0.098814 Epoch[035] Batch [1799]/[1880] Speed: 114.651167 samples/sec accuracy=37.895833 loss=2.772025 lr=0.098809 Epoch[035] Batch [1849]/[1880] Speed: 103.660746 samples/sec accuracy=37.886824 loss=2.772172 lr=0.098804 Batch [0049]/[0151]: acc-top1=34.859375 acc-top5=61.406250 Batch [0099]/[0151]: acc-top1=39.132812 acc-top5=65.171875 Batch [0149]/[0151]: acc-top1=38.208333 acc-top5=65.114583 [Epoch 035] training: accuracy=37.856965 loss=2.773173 [Epoch 035] speed: 108 samples/sec time cost: 2410.126580 [Epoch 035] validation: acc-top1=38.229512 acc-top5=65.123137 loss=2.750872 Epoch[036] Batch [0049]/[1880] Speed: 76.069763 samples/sec accuracy=38.796875 loss=2.746295 lr=0.098795 Epoch[036] Batch [0099]/[1880] Speed: 113.882221 samples/sec accuracy=38.835938 loss=2.730237 lr=0.098790 Epoch[036] Batch [0149]/[1880] Speed: 107.589565 samples/sec accuracy=38.630208 loss=2.733130 lr=0.098785 Epoch[036] Batch [0199]/[1880] Speed: 111.024715 samples/sec accuracy=38.457031 loss=2.733081 lr=0.098779 Epoch[036] Batch [0249]/[1880] Speed: 107.247981 samples/sec accuracy=38.393750 loss=2.728421 lr=0.098774 Epoch[036] Batch [0299]/[1880] Speed: 110.594818 samples/sec accuracy=38.265625 loss=2.734713 lr=0.098769 Epoch[036] Batch [0349]/[1880] Speed: 110.683381 samples/sec accuracy=38.334821 loss=2.734329 lr=0.098763 Epoch[036] Batch [0399]/[1880] Speed: 109.083893 samples/sec accuracy=38.361328 loss=2.731120 lr=0.098758 Epoch[036] Batch [0449]/[1880] Speed: 111.562430 samples/sec accuracy=38.454861 loss=2.726229 lr=0.098753 Epoch[036] Batch [0499]/[1880] Speed: 107.888586 samples/sec accuracy=38.457813 loss=2.728681 lr=0.098747 Epoch[036] Batch [0549]/[1880] Speed: 109.309015 samples/sec accuracy=38.461648 loss=2.731421 lr=0.098742 Epoch[036] Batch [0599]/[1880] Speed: 106.794904 samples/sec accuracy=38.419271 loss=2.733523 lr=0.098736 Epoch[036] Batch [0649]/[1880] Speed: 112.975446 samples/sec accuracy=38.354567 loss=2.734569 lr=0.098731 Epoch[036] Batch [0699]/[1880] Speed: 111.586842 samples/sec accuracy=38.293527 loss=2.739651 lr=0.098726 Epoch[036] Batch [0749]/[1880] Speed: 104.334211 samples/sec accuracy=38.282292 loss=2.738780 lr=0.098720 Epoch[036] Batch [0799]/[1880] Speed: 113.755142 samples/sec accuracy=38.287109 loss=2.740688 lr=0.098715 Epoch[036] Batch [0849]/[1880] Speed: 105.183231 samples/sec accuracy=38.233456 loss=2.742359 lr=0.098709 Epoch[036] Batch [0899]/[1880] Speed: 112.888526 samples/sec accuracy=38.161458 loss=2.745501 lr=0.098704 Epoch[036] Batch [0949]/[1880] Speed: 107.113349 samples/sec accuracy=38.142270 loss=2.747312 lr=0.098698 Epoch[036] Batch [0999]/[1880] Speed: 109.418217 samples/sec accuracy=38.107031 loss=2.748535 lr=0.098693 Epoch[036] Batch [1049]/[1880] Speed: 109.426136 samples/sec accuracy=38.104911 loss=2.748698 lr=0.098687 Epoch[036] Batch [1099]/[1880] Speed: 112.045433 samples/sec accuracy=38.149148 loss=2.746043 lr=0.098682 Epoch[036] Batch [1149]/[1880] Speed: 106.579917 samples/sec accuracy=38.104620 loss=2.748124 lr=0.098676 Epoch[036] Batch [1199]/[1880] Speed: 110.074951 samples/sec accuracy=38.084635 loss=2.748263 lr=0.098670 Epoch[036] Batch [1249]/[1880] Speed: 108.271152 samples/sec accuracy=38.055625 loss=2.749409 lr=0.098665 Epoch[036] Batch [1299]/[1880] Speed: 114.841147 samples/sec accuracy=38.075120 loss=2.749554 lr=0.098659 Epoch[036] Batch [1349]/[1880] Speed: 106.786124 samples/sec accuracy=38.062500 loss=2.751230 lr=0.098654 Epoch[036] Batch [1399]/[1880] Speed: 111.101941 samples/sec accuracy=38.093192 loss=2.752867 lr=0.098648 Epoch[036] Batch [1449]/[1880] Speed: 109.291717 samples/sec accuracy=38.068966 loss=2.754685 lr=0.098642 Epoch[036] Batch [1499]/[1880] Speed: 102.558037 samples/sec accuracy=38.080208 loss=2.755634 lr=0.098637 Epoch[036] Batch [1549]/[1880] Speed: 114.858104 samples/sec accuracy=38.081653 loss=2.756349 lr=0.098631 Epoch[036] Batch [1599]/[1880] Speed: 108.717505 samples/sec accuracy=38.033691 loss=2.757822 lr=0.098626 Epoch[036] Batch [1649]/[1880] Speed: 110.524680 samples/sec accuracy=38.042140 loss=2.758417 lr=0.098620 Epoch[036] Batch [1699]/[1880] Speed: 112.483408 samples/sec accuracy=38.017004 loss=2.760323 lr=0.098614 Epoch[036] Batch [1749]/[1880] Speed: 105.846941 samples/sec accuracy=38.033929 loss=2.760247 lr=0.098608 Epoch[036] Batch [1799]/[1880] Speed: 112.859363 samples/sec accuracy=38.048177 loss=2.759638 lr=0.098603 Epoch[036] Batch [1849]/[1880] Speed: 105.458836 samples/sec accuracy=38.038007 loss=2.760056 lr=0.098597 Batch [0049]/[0151]: acc-top1=35.671875 acc-top5=61.984375 Batch [0099]/[0151]: acc-top1=39.609375 acc-top5=64.914062 Batch [0149]/[0151]: acc-top1=39.255208 acc-top5=65.104167 [Epoch 036] training: accuracy=38.026513 loss=2.761295 [Epoch 036] speed: 108 samples/sec time cost: 2412.756870 [Epoch 036] validation: acc-top1=39.160803 acc-top5=65.014487 loss=2.770837 Epoch[037] Batch [0049]/[1880] Speed: 75.699412 samples/sec accuracy=38.625000 loss=2.720630 lr=0.098588 Epoch[037] Batch [0099]/[1880] Speed: 116.474040 samples/sec accuracy=38.703125 loss=2.725879 lr=0.098582 Epoch[037] Batch [0149]/[1880] Speed: 107.927952 samples/sec accuracy=38.723958 loss=2.719473 lr=0.098576 Epoch[037] Batch [0199]/[1880] Speed: 108.744105 samples/sec accuracy=38.882812 loss=2.717204 lr=0.098571 Epoch[037] Batch [0249]/[1880] Speed: 110.169006 samples/sec accuracy=38.753125 loss=2.721585 lr=0.098565 Epoch[037] Batch [0299]/[1880] Speed: 106.333610 samples/sec accuracy=38.856771 loss=2.718391 lr=0.098559 Epoch[037] Batch [0349]/[1880] Speed: 113.299625 samples/sec accuracy=38.763393 loss=2.720192 lr=0.098553 Epoch[037] Batch [0399]/[1880] Speed: 111.970544 samples/sec accuracy=38.755859 loss=2.720083 lr=0.098548 Epoch[037] Batch [0449]/[1880] Speed: 106.720491 samples/sec accuracy=38.734375 loss=2.718997 lr=0.098542 Epoch[037] Batch [0499]/[1880] Speed: 109.552832 samples/sec accuracy=38.712500 loss=2.719751 lr=0.098536 Epoch[037] Batch [0549]/[1880] Speed: 110.797085 samples/sec accuracy=38.531250 loss=2.724561 lr=0.098530 Epoch[037] Batch [0599]/[1880] Speed: 104.583917 samples/sec accuracy=38.529948 loss=2.727926 lr=0.098524 Epoch[037] Batch [0649]/[1880] Speed: 117.288494 samples/sec accuracy=38.425481 loss=2.731899 lr=0.098518 Epoch[037] Batch [0699]/[1880] Speed: 100.628329 samples/sec accuracy=38.366071 loss=2.736684 lr=0.098512 Epoch[037] Batch [0749]/[1880] Speed: 117.089477 samples/sec accuracy=38.396875 loss=2.736716 lr=0.098507 Epoch[037] Batch [0799]/[1880] Speed: 106.223737 samples/sec accuracy=38.370117 loss=2.740682 lr=0.098501 Epoch[037] Batch [0849]/[1880] Speed: 111.758326 samples/sec accuracy=38.389706 loss=2.741100 lr=0.098495 Epoch[037] Batch [0899]/[1880] Speed: 107.749117 samples/sec accuracy=38.381944 loss=2.741829 lr=0.098489 Epoch[037] Batch [0949]/[1880] Speed: 109.416028 samples/sec accuracy=38.376645 loss=2.741255 lr=0.098483 Epoch[037] Batch [0999]/[1880] Speed: 115.611007 samples/sec accuracy=38.379687 loss=2.741122 lr=0.098477 Epoch[037] Batch [1049]/[1880] Speed: 101.646568 samples/sec accuracy=38.375000 loss=2.741531 lr=0.098471 Epoch[037] Batch [1099]/[1880] Speed: 116.093418 samples/sec accuracy=38.306108 loss=2.745544 lr=0.098465 Epoch[037] Batch [1149]/[1880] Speed: 109.646712 samples/sec accuracy=38.344429 loss=2.743748 lr=0.098459 Epoch[037] Batch [1199]/[1880] Speed: 107.912021 samples/sec accuracy=38.363932 loss=2.743386 lr=0.098453 Epoch[037] Batch [1249]/[1880] Speed: 113.908507 samples/sec accuracy=38.309375 loss=2.744989 lr=0.098447 Epoch[037] Batch [1299]/[1880] Speed: 104.110805 samples/sec accuracy=38.308894 loss=2.746180 lr=0.098441 Epoch[037] Batch [1349]/[1880] Speed: 113.693007 samples/sec accuracy=38.303241 loss=2.746156 lr=0.098435 Epoch[037] Batch [1399]/[1880] Speed: 105.789275 samples/sec accuracy=38.263951 loss=2.748468 lr=0.098429 Epoch[037] Batch [1449]/[1880] Speed: 112.879817 samples/sec accuracy=38.287177 loss=2.748452 lr=0.098423 Epoch[037] Batch [1499]/[1880] Speed: 108.130771 samples/sec accuracy=38.289062 loss=2.748395 lr=0.098417 Epoch[037] Batch [1549]/[1880] Speed: 108.282478 samples/sec accuracy=38.258065 loss=2.749453 lr=0.098411 Epoch[037] Batch [1599]/[1880] Speed: 116.267453 samples/sec accuracy=38.236328 loss=2.749768 lr=0.098405 Epoch[037] Batch [1649]/[1880] Speed: 100.915789 samples/sec accuracy=38.242424 loss=2.750620 lr=0.098399 Epoch[037] Batch [1699]/[1880] Speed: 116.453039 samples/sec accuracy=38.242188 loss=2.750060 lr=0.098392 Epoch[037] Batch [1749]/[1880] Speed: 104.528291 samples/sec accuracy=38.236607 loss=2.750334 lr=0.098386 Epoch[037] Batch [1799]/[1880] Speed: 112.721071 samples/sec accuracy=38.238281 loss=2.750912 lr=0.098380 Epoch[037] Batch [1849]/[1880] Speed: 113.608839 samples/sec accuracy=38.240287 loss=2.750384 lr=0.098374 Batch [0049]/[0151]: acc-top1=35.156250 acc-top5=60.953125 Batch [0099]/[0151]: acc-top1=39.281250 acc-top5=64.648438 Batch [0149]/[0151]: acc-top1=38.645833 acc-top5=64.854167 [Epoch 037] training: accuracy=38.247174 loss=2.750486 [Epoch 037] speed: 108 samples/sec time cost: 2411.418365 [Epoch 037] validation: acc-top1=38.602028 acc-top5=64.833402 loss=2.768538 Epoch[038] Batch [0049]/[1880] Speed: 77.886692 samples/sec accuracy=38.953125 loss=2.735893 lr=0.098364 Epoch[038] Batch [0099]/[1880] Speed: 111.337266 samples/sec accuracy=38.835938 loss=2.727552 lr=0.098358 Epoch[038] Batch [0149]/[1880] Speed: 106.953639 samples/sec accuracy=38.666667 loss=2.725191 lr=0.098352 Epoch[038] Batch [0199]/[1880] Speed: 110.016347 samples/sec accuracy=38.687500 loss=2.725610 lr=0.098346 Epoch[038] Batch [0249]/[1880] Speed: 111.708970 samples/sec accuracy=38.706250 loss=2.720584 lr=0.098339 Epoch[038] Batch [0299]/[1880] Speed: 104.078924 samples/sec accuracy=38.768229 loss=2.715678 lr=0.098333 Epoch[038] Batch [0349]/[1880] Speed: 115.642074 samples/sec accuracy=38.683036 loss=2.719091 lr=0.098327 Epoch[038] Batch [0399]/[1880] Speed: 101.374876 samples/sec accuracy=38.671875 loss=2.720475 lr=0.098321 Epoch[038] Batch [0449]/[1880] Speed: 113.824400 samples/sec accuracy=38.673611 loss=2.720008 lr=0.098315 Epoch[038] Batch [0499]/[1880] Speed: 109.049593 samples/sec accuracy=38.770312 loss=2.714284 lr=0.098308 Epoch[038] Batch [0549]/[1880] Speed: 107.678643 samples/sec accuracy=38.758523 loss=2.714676 lr=0.098302 Epoch[038] Batch [0599]/[1880] Speed: 116.670630 samples/sec accuracy=38.744792 loss=2.715985 lr=0.098296 Epoch[038] Batch [0649]/[1880] Speed: 103.590839 samples/sec accuracy=38.611779 loss=2.720146 lr=0.098289 Epoch[038] Batch [0699]/[1880] Speed: 116.049387 samples/sec accuracy=38.564732 loss=2.723092 lr=0.098283 Epoch[038] Batch [0749]/[1880] Speed: 105.206348 samples/sec accuracy=38.591667 loss=2.722113 lr=0.098277 Epoch[038] Batch [0799]/[1880] Speed: 109.290548 samples/sec accuracy=38.554688 loss=2.723282 lr=0.098270 Epoch[038] Batch [0849]/[1880] Speed: 111.320472 samples/sec accuracy=38.515625 loss=2.724942 lr=0.098264 Epoch[038] Batch 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accuracy=38.472222 loss=2.731921 lr=0.098200 Epoch[038] Batch [1399]/[1880] Speed: 109.297751 samples/sec accuracy=38.480469 loss=2.734064 lr=0.098194 Epoch[038] Batch [1449]/[1880] Speed: 113.006587 samples/sec accuracy=38.476293 loss=2.734540 lr=0.098187 Epoch[038] Batch [1499]/[1880] Speed: 109.671848 samples/sec accuracy=38.461979 loss=2.735340 lr=0.098181 Epoch[038] Batch [1549]/[1880] Speed: 108.843247 samples/sec accuracy=38.505544 loss=2.733519 lr=0.098174 Epoch[038] Batch [1599]/[1880] Speed: 109.255750 samples/sec accuracy=38.499023 loss=2.734193 lr=0.098168 Epoch[038] Batch [1649]/[1880] Speed: 107.666123 samples/sec accuracy=38.513731 loss=2.733860 lr=0.098161 Epoch[038] Batch [1699]/[1880] Speed: 113.556190 samples/sec accuracy=38.488971 loss=2.736136 lr=0.098155 Epoch[038] Batch [1749]/[1880] Speed: 104.907464 samples/sec accuracy=38.472768 loss=2.737307 lr=0.098148 Epoch[038] Batch [1799]/[1880] Speed: 113.751802 samples/sec accuracy=38.452257 loss=2.737343 lr=0.098141 Epoch[038] Batch [1849]/[1880] Speed: 105.903876 samples/sec accuracy=38.432010 loss=2.738825 lr=0.098135 Batch [0049]/[0151]: acc-top1=36.015625 acc-top5=61.703125 Batch [0099]/[0151]: acc-top1=39.460938 acc-top5=64.929688 Batch [0149]/[0151]: acc-top1=37.630208 acc-top5=63.953125 [Epoch 038] training: accuracy=38.414229 loss=2.738692 [Epoch 038] speed: 108 samples/sec time cost: 2411.258770 [Epoch 038] validation: acc-top1=37.603477 acc-top5=63.938328 loss=2.853908 Epoch[039] Batch [0049]/[1880] Speed: 76.059901 samples/sec accuracy=37.984375 loss=2.760865 lr=0.098124 Epoch[039] Batch [0099]/[1880] Speed: 115.868932 samples/sec accuracy=38.546875 loss=2.747254 lr=0.098118 Epoch[039] Batch [0149]/[1880] Speed: 105.943052 samples/sec accuracy=38.755208 loss=2.735019 lr=0.098111 Epoch[039] Batch [0199]/[1880] Speed: 107.291023 samples/sec accuracy=38.750000 loss=2.723977 lr=0.098104 Epoch[039] Batch [0249]/[1880] Speed: 112.684184 samples/sec accuracy=38.675000 loss=2.726506 lr=0.098098 Epoch[039] Batch [0299]/[1880] Speed: 103.778946 samples/sec accuracy=38.739583 loss=2.723253 lr=0.098091 Epoch[039] Batch [0349]/[1880] Speed: 116.709938 samples/sec accuracy=38.828125 loss=2.719797 lr=0.098085 Epoch[039] Batch [0399]/[1880] Speed: 102.635660 samples/sec accuracy=38.812500 loss=2.721821 lr=0.098078 Epoch[039] Batch [0449]/[1880] Speed: 115.712502 samples/sec accuracy=38.904514 loss=2.719143 lr=0.098071 Epoch[039] Batch [0499]/[1880] Speed: 110.094654 samples/sec accuracy=38.892187 loss=2.719625 lr=0.098065 Epoch[039] Batch [0549]/[1880] Speed: 107.939231 samples/sec accuracy=38.907670 loss=2.719553 lr=0.098058 Epoch[039] Batch [0599]/[1880] Speed: 113.053596 samples/sec accuracy=38.876302 loss=2.719976 lr=0.098051 Epoch[039] Batch [0649]/[1880] Speed: 108.022838 samples/sec accuracy=38.852163 loss=2.722454 lr=0.098044 Epoch[039] Batch [0699]/[1880] Speed: 108.295732 samples/sec accuracy=38.843750 loss=2.722185 lr=0.098038 Epoch[039] Batch [0749]/[1880] Speed: 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loss=2.725752 lr=0.097970 Epoch[039] Batch [1249]/[1880] Speed: 106.695400 samples/sec accuracy=38.833125 loss=2.725995 lr=0.097963 Epoch[039] Batch [1299]/[1880] Speed: 115.703305 samples/sec accuracy=38.814904 loss=2.726872 lr=0.097956 Epoch[039] Batch [1349]/[1880] Speed: 100.821849 samples/sec accuracy=38.848958 loss=2.725256 lr=0.097949 Epoch[039] Batch [1399]/[1880] Speed: 117.651526 samples/sec accuracy=38.863839 loss=2.724159 lr=0.097942 Epoch[039] Batch [1449]/[1880] Speed: 101.012300 samples/sec accuracy=38.846444 loss=2.725912 lr=0.097935 Epoch[039] Batch [1499]/[1880] Speed: 116.037718 samples/sec accuracy=38.778646 loss=2.729135 lr=0.097928 Epoch[039] Batch [1549]/[1880] Speed: 114.967110 samples/sec accuracy=38.795867 loss=2.728786 lr=0.097921 Epoch[039] Batch [1599]/[1880] Speed: 103.713225 samples/sec accuracy=38.743164 loss=2.729403 lr=0.097914 Epoch[039] Batch [1649]/[1880] Speed: 110.877353 samples/sec accuracy=38.732008 loss=2.730437 lr=0.097908 Epoch[039] Batch [1699]/[1880] Speed: 107.439918 samples/sec accuracy=38.727022 loss=2.730984 lr=0.097901 Epoch[039] Batch [1749]/[1880] Speed: 107.306304 samples/sec accuracy=38.718750 loss=2.731101 lr=0.097894 Epoch[039] Batch [1799]/[1880] Speed: 112.834031 samples/sec accuracy=38.707031 loss=2.730729 lr=0.097887 Epoch[039] Batch [1849]/[1880] Speed: 114.351813 samples/sec accuracy=38.703970 loss=2.731270 lr=0.097880 Batch [0049]/[0151]: acc-top1=34.468750 acc-top5=62.062500 Batch [0099]/[0151]: acc-top1=38.476562 acc-top5=64.726562 Batch [0149]/[0151]: acc-top1=36.963542 acc-top5=63.859375 [Epoch 039] training: accuracy=38.703873 loss=2.731550 [Epoch 039] speed: 108 samples/sec time cost: 2413.584863 [Epoch 039] validation: acc-top1=36.899834 acc-top5=63.865894 loss=2.887507 Epoch[040] Batch [0049]/[1879] Speed: 76.593808 samples/sec accuracy=39.218750 loss=2.690357 lr=0.097868 Epoch[040] Batch [0099]/[1879] Speed: 112.417198 samples/sec accuracy=39.406250 loss=2.692532 lr=0.097861 Epoch[040] Batch [0149]/[1879] Speed: 106.129341 samples/sec accuracy=39.442708 loss=2.691380 lr=0.097854 Epoch[040] Batch [0199]/[1879] Speed: 112.985539 samples/sec accuracy=39.437500 loss=2.694575 lr=0.097847 Epoch[040] Batch [0249]/[1879] Speed: 99.936789 samples/sec accuracy=39.406250 loss=2.690684 lr=0.097840 Epoch[040] Batch [0299]/[1879] Speed: 118.932487 samples/sec accuracy=39.390625 loss=2.692142 lr=0.097833 Epoch[040] Batch [0349]/[1879] Speed: 105.172213 samples/sec accuracy=39.357143 loss=2.694653 lr=0.097826 Epoch[040] Batch [0399]/[1879] Speed: 111.981374 samples/sec accuracy=39.316406 loss=2.694269 lr=0.097819 Epoch[040] Batch [0449]/[1879] Speed: 114.377779 samples/sec accuracy=39.276042 loss=2.699279 lr=0.097812 Epoch[040] Batch [0499]/[1879] Speed: 106.654868 samples/sec accuracy=39.228125 loss=2.698883 lr=0.097805 Epoch[040] Batch [0549]/[1879] Speed: 109.140879 samples/sec accuracy=39.234375 loss=2.696965 lr=0.097798 Epoch[040] Batch [0599]/[1879] Speed: 112.091238 samples/sec accuracy=39.294271 loss=2.698091 lr=0.097790 Epoch[040] Batch [0649]/[1879] Speed: 108.353321 samples/sec accuracy=39.298077 loss=2.699377 lr=0.097783 Epoch[040] Batch [0699]/[1879] Speed: 109.790449 samples/sec accuracy=39.212054 loss=2.701463 lr=0.097776 Epoch[040] Batch [0749]/[1879] Speed: 107.821158 samples/sec accuracy=39.227083 loss=2.701375 lr=0.097769 Epoch[040] Batch [0799]/[1879] Speed: 111.109608 samples/sec accuracy=39.218750 loss=2.700783 lr=0.097762 Epoch[040] Batch [0849]/[1879] Speed: 105.437738 samples/sec accuracy=39.193015 loss=2.703739 lr=0.097755 Epoch[040] Batch [0899]/[1879] Speed: 111.544428 samples/sec accuracy=39.217014 loss=2.702866 lr=0.097747 Epoch[040] Batch [0949]/[1879] Speed: 108.105399 samples/sec accuracy=39.189145 loss=2.703521 lr=0.097740 Epoch[040] Batch [0999]/[1879] Speed: 108.883874 samples/sec accuracy=39.153906 loss=2.706197 lr=0.097733 Epoch[040] Batch [1049]/[1879] Speed: 112.803854 samples/sec accuracy=39.104911 loss=2.707800 lr=0.097726 Epoch[040] Batch [1099]/[1879] Speed: 109.866476 samples/sec accuracy=39.081676 loss=2.709272 lr=0.097718 Epoch[040] Batch [1149]/[1879] Speed: 111.300397 samples/sec accuracy=39.060462 loss=2.710725 lr=0.097711 Epoch[040] Batch [1199]/[1879] Speed: 109.161515 samples/sec accuracy=39.054036 loss=2.711502 lr=0.097704 Epoch[040] Batch [1249]/[1879] Speed: 107.368581 samples/sec accuracy=39.011250 loss=2.713783 lr=0.097697 Epoch[040] Batch [1299]/[1879] Speed: 111.963096 samples/sec accuracy=38.968750 loss=2.715889 lr=0.097689 Epoch[040] Batch [1349]/[1879] Speed: 108.102450 samples/sec accuracy=38.947917 loss=2.717436 lr=0.097682 Epoch[040] Batch [1399]/[1879] Speed: 110.925846 samples/sec accuracy=38.916295 loss=2.718052 lr=0.097675 Epoch[040] Batch [1449]/[1879] Speed: 111.611588 samples/sec accuracy=38.887931 loss=2.718633 lr=0.097667 Epoch[040] Batch [1499]/[1879] Speed: 104.403904 samples/sec accuracy=38.865104 loss=2.720446 lr=0.097660 Epoch[040] Batch [1549]/[1879] Speed: 115.629336 samples/sec accuracy=38.851815 loss=2.721611 lr=0.097653 Epoch[040] Batch [1599]/[1879] Speed: 109.628092 samples/sec accuracy=38.857910 loss=2.721997 lr=0.097645 Epoch[040] Batch [1649]/[1879] Speed: 105.786092 samples/sec accuracy=38.853220 loss=2.722143 lr=0.097638 Epoch[040] Batch [1699]/[1879] Speed: 113.639184 samples/sec accuracy=38.831801 loss=2.722209 lr=0.097631 Epoch[040] Batch [1749]/[1879] Speed: 104.813787 samples/sec accuracy=38.817857 loss=2.722524 lr=0.097623 Epoch[040] Batch [1799]/[1879] Speed: 112.058600 samples/sec accuracy=38.781250 loss=2.723404 lr=0.097616 Epoch[040] Batch [1849]/[1879] Speed: 106.434704 samples/sec accuracy=38.808699 loss=2.722735 lr=0.097608 Batch [0049]/[0151]: acc-top1=36.125000 acc-top5=63.453125 Batch [0099]/[0151]: acc-top1=39.875000 acc-top5=65.742188 Batch [0149]/[0151]: acc-top1=38.625000 acc-top5=65.625000 [Epoch 040] training: accuracy=38.831742 loss=2.722312 [Epoch 040] speed: 108 samples/sec time cost: 2412.351051 [Epoch 040] validation: acc-top1=38.576159 acc-top5=65.568088 loss=2.792872 Epoch[041] Batch [0049]/[1880] Speed: 78.000961 samples/sec accuracy=39.703125 loss=2.691160 lr=0.097597 Epoch[041] Batch [0099]/[1880] Speed: 112.024096 samples/sec accuracy=40.257812 loss=2.662908 lr=0.097589 Epoch[041] Batch [0149]/[1880] Speed: 112.462939 samples/sec accuracy=39.843750 loss=2.673280 lr=0.097582 Epoch[041] Batch [0199]/[1880] Speed: 103.434919 samples/sec accuracy=39.816406 loss=2.675531 lr=0.097574 Epoch[041] Batch [0249]/[1880] Speed: 117.634583 samples/sec accuracy=39.753125 loss=2.674237 lr=0.097567 Epoch[041] Batch [0299]/[1880] Speed: 102.654606 samples/sec accuracy=39.520833 loss=2.683427 lr=0.097559 Epoch[041] Batch [0349]/[1880] Speed: 113.905244 samples/sec accuracy=39.642857 loss=2.679780 lr=0.097552 Epoch[041] Batch [0399]/[1880] Speed: 107.251948 samples/sec accuracy=39.515625 loss=2.684612 lr=0.097544 Epoch[041] Batch [0449]/[1880] Speed: 110.889087 samples/sec accuracy=39.461806 loss=2.687690 lr=0.097537 Epoch[041] Batch [0499]/[1880] Speed: 109.785509 samples/sec accuracy=39.435938 loss=2.686767 lr=0.097529 Epoch[041] Batch [0549]/[1880] Speed: 109.773565 samples/sec accuracy=39.355114 loss=2.691142 lr=0.097522 Epoch[041] Batch [0599]/[1880] Speed: 107.957548 samples/sec accuracy=39.371094 loss=2.690744 lr=0.097514 Epoch[041] Batch [0649]/[1880] Speed: 111.552844 samples/sec accuracy=39.366587 loss=2.692726 lr=0.097506 Epoch[041] Batch [0699]/[1880] Speed: 110.682211 samples/sec accuracy=39.331473 loss=2.692768 lr=0.097499 Epoch[041] Batch [0749]/[1880] Speed: 103.168589 samples/sec accuracy=39.296875 loss=2.694846 lr=0.097491 Epoch[041] Batch [0799]/[1880] Speed: 115.848322 samples/sec accuracy=39.293945 loss=2.694427 lr=0.097484 Epoch[041] Batch [0849]/[1880] Speed: 112.923851 samples/sec accuracy=39.334559 loss=2.693894 lr=0.097476 Epoch[041] Batch [0899]/[1880] Speed: 103.772143 samples/sec accuracy=39.241319 loss=2.699884 lr=0.097468 Epoch[041] Batch [0949]/[1880] Speed: 113.706968 samples/sec accuracy=39.231908 loss=2.700770 lr=0.097461 Epoch[041] Batch [0999]/[1880] Speed: 103.551281 samples/sec accuracy=39.190625 loss=2.701875 lr=0.097453 Epoch[041] Batch [1049]/[1880] Speed: 115.205667 samples/sec accuracy=39.161458 loss=2.703628 lr=0.097445 Epoch[041] Batch [1099]/[1880] Speed: 105.176157 samples/sec accuracy=39.125000 loss=2.705938 lr=0.097438 Epoch[041] Batch [1149]/[1880] Speed: 110.431338 samples/sec accuracy=39.101902 loss=2.706596 lr=0.097430 Epoch[041] Batch [1199]/[1880] Speed: 108.903514 samples/sec accuracy=39.095052 loss=2.708368 lr=0.097422 Epoch[041] Batch [1249]/[1880] Speed: 113.507422 samples/sec accuracy=39.045625 loss=2.710713 lr=0.097415 Epoch[041] Batch [1299]/[1880] Speed: 109.775521 samples/sec accuracy=39.030048 loss=2.710908 lr=0.097407 Epoch[041] Batch [1349]/[1880] Speed: 105.977177 samples/sec accuracy=39.037037 loss=2.711023 lr=0.097399 Epoch[041] Batch [1399]/[1880] Speed: 113.484948 samples/sec accuracy=39.015067 loss=2.710913 lr=0.097392 Epoch[041] Batch [1449]/[1880] Speed: 106.951618 samples/sec accuracy=39.003233 loss=2.710839 lr=0.097384 Epoch[041] Batch [1499]/[1880] Speed: 109.701633 samples/sec accuracy=39.003646 loss=2.710491 lr=0.097376 Epoch[041] Batch [1549]/[1880] Speed: 110.196389 samples/sec accuracy=39.011593 loss=2.709796 lr=0.097368 Epoch[041] Batch [1599]/[1880] Speed: 113.052867 samples/sec accuracy=38.987305 loss=2.711518 lr=0.097360 Epoch[041] Batch [1649]/[1880] Speed: 105.189408 samples/sec accuracy=38.999527 loss=2.712626 lr=0.097353 Epoch[041] Batch [1699]/[1880] Speed: 113.740897 samples/sec accuracy=39.006893 loss=2.713459 lr=0.097345 Epoch[041] Batch [1749]/[1880] Speed: 106.544643 samples/sec accuracy=39.034821 loss=2.712996 lr=0.097337 Epoch[041] Batch [1799]/[1880] Speed: 107.883180 samples/sec accuracy=39.043837 loss=2.712139 lr=0.097329 Epoch[041] Batch [1849]/[1880] Speed: 110.800144 samples/sec accuracy=39.056166 loss=2.712444 lr=0.097321 Batch [0049]/[0151]: acc-top1=34.375000 acc-top5=61.125000 Batch [0099]/[0151]: acc-top1=38.718750 acc-top5=64.695312 Batch [0149]/[0151]: acc-top1=37.411458 acc-top5=64.505208 [Epoch 041] training: accuracy=39.052942 loss=2.713244 [Epoch 041] speed: 108 samples/sec time cost: 2410.475640 [Epoch 041] validation: acc-top1=37.334437 acc-top5=64.471233 loss=2.818562 Epoch[042] Batch [0049]/[1880] Speed: 76.577229 samples/sec accuracy=39.484375 loss=2.628138 lr=0.097309 Epoch[042] Batch [0099]/[1880] Speed: 114.573556 samples/sec accuracy=39.039062 loss=2.690596 lr=0.097301 Epoch[042] Batch [0149]/[1880] Speed: 105.673684 samples/sec accuracy=38.786458 loss=2.707150 lr=0.097293 Epoch[042] Batch [0199]/[1880] Speed: 111.266766 samples/sec accuracy=38.828125 loss=2.707274 lr=0.097285 Epoch[042] Batch [0249]/[1880] Speed: 108.002550 samples/sec accuracy=38.743750 loss=2.704823 lr=0.097277 Epoch[042] Batch [0299]/[1880] Speed: 107.379785 samples/sec accuracy=38.760417 loss=2.703155 lr=0.097269 Epoch[042] Batch [0349]/[1880] Speed: 117.115927 samples/sec accuracy=38.761161 loss=2.706580 lr=0.097261 Epoch[042] Batch [0399]/[1880] Speed: 104.328558 samples/sec accuracy=38.769531 loss=2.707910 lr=0.097253 Epoch[042] Batch [0449]/[1880] Speed: 114.396986 samples/sec accuracy=38.795139 loss=2.705045 lr=0.097245 Epoch[042] Batch [0499]/[1880] Speed: 105.430040 samples/sec accuracy=38.865625 loss=2.703272 lr=0.097238 Epoch[042] Batch [0549]/[1880] Speed: 108.042474 samples/sec accuracy=38.850852 loss=2.703667 lr=0.097230 Epoch[042] Batch [0599]/[1880] Speed: 112.366899 samples/sec accuracy=38.984375 loss=2.700321 lr=0.097222 Epoch[042] Batch [0649]/[1880] Speed: 110.267602 samples/sec accuracy=38.901442 loss=2.703227 lr=0.097214 Epoch[042] Batch [0699]/[1880] Speed: 110.568099 samples/sec accuracy=38.892857 loss=2.703071 lr=0.097206 Epoch[042] Batch [0749]/[1880] Speed: 107.495935 samples/sec accuracy=38.927083 loss=2.699645 lr=0.097198 Epoch[042] Batch [0799]/[1880] Speed: 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loss=2.699364 lr=0.097117 Epoch[042] Batch [1299]/[1880] Speed: 115.693263 samples/sec accuracy=39.097957 loss=2.700258 lr=0.097109 Epoch[042] Batch [1349]/[1880] Speed: 103.198269 samples/sec accuracy=39.092593 loss=2.700703 lr=0.097101 Epoch[042] Batch [1399]/[1880] Speed: 116.205917 samples/sec accuracy=39.118862 loss=2.700082 lr=0.097092 Epoch[042] Batch [1449]/[1880] Speed: 104.088427 samples/sec accuracy=39.113685 loss=2.701922 lr=0.097084 Epoch[042] Batch [1499]/[1880] Speed: 115.550956 samples/sec accuracy=39.082292 loss=2.703811 lr=0.097076 Epoch[042] Batch [1549]/[1880] Speed: 101.146812 samples/sec accuracy=39.043347 loss=2.704818 lr=0.097068 Epoch[042] Batch [1599]/[1880] Speed: 116.614601 samples/sec accuracy=39.041016 loss=2.705133 lr=0.097060 Epoch[042] Batch [1649]/[1880] Speed: 110.949074 samples/sec accuracy=39.033144 loss=2.706398 lr=0.097051 Epoch[042] Batch [1699]/[1880] Speed: 106.347596 samples/sec accuracy=39.011489 loss=2.707770 lr=0.097043 Epoch[042] Batch [1749]/[1880] Speed: 114.492752 samples/sec accuracy=38.995089 loss=2.707962 lr=0.097035 Epoch[042] Batch [1799]/[1880] Speed: 106.255152 samples/sec accuracy=39.028212 loss=2.706309 lr=0.097027 Epoch[042] Batch [1849]/[1880] Speed: 116.160346 samples/sec accuracy=39.011402 loss=2.707108 lr=0.097018 Batch [0049]/[0151]: acc-top1=34.562500 acc-top5=59.265625 Batch [0099]/[0151]: acc-top1=39.328125 acc-top5=63.750000 Batch [0149]/[0151]: acc-top1=38.338542 acc-top5=64.125000 [Epoch 042] training: accuracy=39.004737 loss=2.707450 [Epoch 042] speed: 109 samples/sec time cost: 2410.103402 [Epoch 042] validation: acc-top1=38.338162 acc-top5=64.145281 loss=2.813353 Epoch[043] Batch [0049]/[1880] Speed: 77.887902 samples/sec accuracy=40.187500 loss=2.639763 lr=0.097005 Epoch[043] Batch [0099]/[1880] Speed: 110.997506 samples/sec accuracy=39.703125 loss=2.664210 lr=0.096997 Epoch[043] Batch [0149]/[1880] Speed: 111.128224 samples/sec accuracy=39.968750 loss=2.650475 lr=0.096989 Epoch[043] Batch 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accuracy=39.507212 loss=2.684475 lr=0.096905 Epoch[043] Batch [0699]/[1880] Speed: 109.608386 samples/sec accuracy=39.441964 loss=2.684478 lr=0.096897 Epoch[043] Batch [0749]/[1880] Speed: 107.052757 samples/sec accuracy=39.457292 loss=2.683612 lr=0.096888 Epoch[043] Batch [0799]/[1880] Speed: 116.186325 samples/sec accuracy=39.416992 loss=2.686598 lr=0.096880 Epoch[043] Batch [0849]/[1880] Speed: 99.911526 samples/sec accuracy=39.354779 loss=2.689921 lr=0.096871 Epoch[043] Batch [0899]/[1880] Speed: 115.470996 samples/sec accuracy=39.289931 loss=2.691675 lr=0.096863 Epoch[043] Batch [0949]/[1880] Speed: 105.111344 samples/sec accuracy=39.271382 loss=2.692697 lr=0.096854 Epoch[043] Batch [0999]/[1880] Speed: 112.279516 samples/sec accuracy=39.292187 loss=2.692429 lr=0.096846 Epoch[043] Batch [1049]/[1880] Speed: 110.169105 samples/sec accuracy=39.278274 loss=2.694040 lr=0.096837 Epoch[043] Batch [1099]/[1880] Speed: 108.778494 samples/sec accuracy=39.297585 loss=2.693679 lr=0.096829 Epoch[043] Batch [1149]/[1880] Speed: 109.637452 samples/sec accuracy=39.291440 loss=2.694410 lr=0.096820 Epoch[043] Batch [1199]/[1880] Speed: 108.683802 samples/sec accuracy=39.292318 loss=2.695694 lr=0.096812 Epoch[043] Batch [1249]/[1880] Speed: 110.036994 samples/sec accuracy=39.238125 loss=2.699190 lr=0.096803 Epoch[043] Batch [1299]/[1880] Speed: 109.123406 samples/sec accuracy=39.243990 loss=2.698256 lr=0.096795 Epoch[043] Batch [1349]/[1880] Speed: 114.124519 samples/sec accuracy=39.265046 loss=2.697713 lr=0.096786 Epoch[043] Batch [1399]/[1880] Speed: 107.068870 samples/sec accuracy=39.261719 loss=2.698639 lr=0.096777 Epoch[043] Batch [1449]/[1880] Speed: 108.806936 samples/sec accuracy=39.266164 loss=2.699381 lr=0.096769 Epoch[043] Batch [1499]/[1880] Speed: 112.916681 samples/sec accuracy=39.279688 loss=2.699063 lr=0.096760 Epoch[043] Batch [1549]/[1880] Speed: 108.308063 samples/sec accuracy=39.303931 loss=2.698004 lr=0.096752 Epoch[043] Batch [1599]/[1880] Speed: 109.263476 samples/sec accuracy=39.265625 loss=2.699451 lr=0.096743 Epoch[043] Batch [1649]/[1880] Speed: 112.720800 samples/sec accuracy=39.261837 loss=2.700207 lr=0.096734 Epoch[043] Batch [1699]/[1880] Speed: 104.402588 samples/sec accuracy=39.244485 loss=2.700907 lr=0.096726 Epoch[043] Batch [1749]/[1880] Speed: 115.690918 samples/sec accuracy=39.237946 loss=2.701036 lr=0.096717 Epoch[043] Batch [1799]/[1880] Speed: 101.979160 samples/sec accuracy=39.228299 loss=2.701296 lr=0.096708 Epoch[043] Batch [1849]/[1880] Speed: 115.150172 samples/sec accuracy=39.212416 loss=2.701844 lr=0.096700 Batch [0049]/[0151]: acc-top1=37.000000 acc-top5=62.843750 Batch [0099]/[0151]: acc-top1=41.023438 acc-top5=65.906250 Batch [0149]/[0151]: acc-top1=39.375000 acc-top5=65.333333 [Epoch 043] training: accuracy=39.201297 loss=2.702742 [Epoch 043] speed: 108 samples/sec time cost: 2411.945647 [Epoch 043] validation: acc-top1=39.326366 acc-top5=65.309396 loss=2.722880 Epoch[044] Batch [0049]/[1880] Speed: 75.775828 samples/sec accuracy=39.828125 loss=2.669978 lr=0.096686 Epoch[044] Batch [0099]/[1880] Speed: 111.477014 samples/sec accuracy=39.703125 loss=2.663968 lr=0.096677 Epoch[044] Batch [0149]/[1880] Speed: 107.680752 samples/sec accuracy=39.625000 loss=2.669370 lr=0.096668 Epoch[044] Batch [0199]/[1880] Speed: 113.441820 samples/sec accuracy=39.992188 loss=2.664154 lr=0.096660 Epoch[044] Batch [0249]/[1880] Speed: 110.951578 samples/sec accuracy=39.881250 loss=2.670865 lr=0.096651 Epoch[044] Batch [0299]/[1880] Speed: 107.600253 samples/sec accuracy=39.854167 loss=2.673875 lr=0.096642 Epoch[044] Batch [0349]/[1880] Speed: 109.972673 samples/sec accuracy=39.781250 loss=2.675378 lr=0.096633 Epoch[044] Batch [0399]/[1880] Speed: 110.649414 samples/sec accuracy=39.857422 loss=2.670269 lr=0.096625 Epoch[044] Batch [0449]/[1880] Speed: 110.079146 samples/sec accuracy=39.840278 loss=2.675200 lr=0.096616 Epoch[044] Batch [0499]/[1880] Speed: 110.962635 samples/sec accuracy=39.870312 loss=2.673899 lr=0.096607 Epoch[044] Batch [0549]/[1880] Speed: 109.473682 samples/sec accuracy=39.846591 loss=2.676261 lr=0.096598 Epoch[044] Batch [0599]/[1880] Speed: 106.029025 samples/sec accuracy=39.811198 loss=2.675598 lr=0.096589 Epoch[044] Batch [0649]/[1880] Speed: 110.061480 samples/sec accuracy=39.734375 loss=2.677709 lr=0.096581 Epoch[044] Batch [0699]/[1880] Speed: 108.166161 samples/sec accuracy=39.702009 loss=2.679956 lr=0.096572 Epoch[044] Batch [0749]/[1880] Speed: 107.646848 samples/sec accuracy=39.619792 loss=2.681952 lr=0.096563 Epoch[044] Batch [0799]/[1880] Speed: 113.081936 samples/sec accuracy=39.579102 loss=2.680967 lr=0.096554 Epoch[044] Batch [0849]/[1880] Speed: 106.684441 samples/sec accuracy=39.604779 loss=2.681008 lr=0.096545 Epoch[044] Batch [0899]/[1880] Speed: 111.060955 samples/sec accuracy=39.620660 loss=2.680433 lr=0.096536 Epoch[044] Batch [0949]/[1880] Speed: 110.213370 samples/sec accuracy=39.636513 loss=2.679563 lr=0.096527 Epoch[044] Batch [0999]/[1880] Speed: 108.995144 samples/sec accuracy=39.697656 loss=2.678569 lr=0.096519 Epoch[044] Batch [1049]/[1880] Speed: 110.942122 samples/sec accuracy=39.718750 loss=2.678222 lr=0.096510 Epoch[044] Batch [1099]/[1880] Speed: 109.458853 samples/sec accuracy=39.685369 loss=2.680629 lr=0.096501 Epoch[044] Batch [1149]/[1880] Speed: 111.364787 samples/sec accuracy=39.641984 loss=2.681816 lr=0.096492 Epoch[044] Batch [1199]/[1880] Speed: 106.478811 samples/sec accuracy=39.641927 loss=2.681763 lr=0.096483 Epoch[044] Batch [1249]/[1880] Speed: 109.661826 samples/sec accuracy=39.644375 loss=2.680879 lr=0.096474 Epoch[044] Batch [1299]/[1880] Speed: 107.280073 samples/sec accuracy=39.618990 loss=2.683085 lr=0.096465 Epoch[044] Batch [1349]/[1880] Speed: 112.010940 samples/sec accuracy=39.600116 loss=2.683723 lr=0.096456 Epoch[044] Batch [1399]/[1880] Speed: 109.291511 samples/sec accuracy=39.587054 loss=2.683987 lr=0.096447 Epoch[044] Batch [1449]/[1880] Speed: 110.989462 samples/sec accuracy=39.570582 loss=2.684461 lr=0.096438 Epoch[044] Batch [1499]/[1880] Speed: 106.398905 samples/sec accuracy=39.586458 loss=2.684423 lr=0.096429 Epoch[044] Batch [1549]/[1880] Speed: 114.411834 samples/sec accuracy=39.549899 loss=2.685790 lr=0.096420 Epoch[044] Batch [1599]/[1880] Speed: 104.627239 samples/sec accuracy=39.511719 loss=2.687510 lr=0.096411 Epoch[044] Batch [1649]/[1880] Speed: 112.301923 samples/sec accuracy=39.507576 loss=2.688704 lr=0.096402 Epoch[044] Batch [1699]/[1880] Speed: 107.257065 samples/sec accuracy=39.515625 loss=2.689153 lr=0.096393 Epoch[044] Batch [1749]/[1880] Speed: 109.949150 samples/sec accuracy=39.499107 loss=2.690690 lr=0.096384 Epoch[044] Batch [1799]/[1880] Speed: 113.984602 samples/sec accuracy=39.461372 loss=2.691512 lr=0.096375 Epoch[044] Batch [1849]/[1880] Speed: 102.570823 samples/sec accuracy=39.437078 loss=2.692659 lr=0.096365 Batch [0049]/[0151]: acc-top1=38.687500 acc-top5=64.546875 Batch [0099]/[0151]: acc-top1=41.546875 acc-top5=66.085938 Batch [0149]/[0151]: acc-top1=39.973958 acc-top5=65.796875 [Epoch 044] training: accuracy=39.427776 loss=2.692361 [Epoch 044] speed: 108 samples/sec time cost: 2412.434941 [Epoch 044] validation: acc-top1=39.905836 acc-top5=65.754346 loss=2.710190 Epoch[045] Batch [0049]/[1880] Speed: 76.721813 samples/sec accuracy=41.000000 loss=2.586317 lr=0.096351 Epoch[045] Batch [0099]/[1880] Speed: 113.730464 samples/sec accuracy=40.937500 loss=2.590635 lr=0.096342 Epoch[045] Batch [0149]/[1880] Speed: 109.013546 samples/sec accuracy=40.312500 loss=2.621589 lr=0.096333 Epoch[045] Batch [0199]/[1880] Speed: 109.827307 samples/sec accuracy=39.957031 loss=2.637401 lr=0.096324 Epoch[045] Batch [0249]/[1880] Speed: 110.878316 samples/sec accuracy=39.856250 loss=2.644476 lr=0.096314 Epoch[045] Batch [0299]/[1880] Speed: 108.380064 samples/sec accuracy=39.671875 loss=2.647280 lr=0.096305 Epoch[045] Batch [0349]/[1880] Speed: 110.117333 samples/sec accuracy=39.640625 loss=2.653834 lr=0.096296 Epoch[045] Batch [0399]/[1880] Speed: 111.654754 samples/sec accuracy=39.517578 loss=2.661151 lr=0.096287 Epoch[045] Batch [0449]/[1880] Speed: 106.627887 samples/sec accuracy=39.420139 loss=2.666580 lr=0.096278 Epoch[045] Batch [0499]/[1880] Speed: 115.099814 samples/sec accuracy=39.482812 loss=2.667565 lr=0.096268 Epoch[045] Batch [0549]/[1880] Speed: 104.253240 samples/sec accuracy=39.463068 loss=2.668547 lr=0.096259 Epoch[045] Batch [0599]/[1880] Speed: 115.231875 samples/sec accuracy=39.359375 loss=2.676620 lr=0.096250 Epoch[045] Batch [0649]/[1880] Speed: 101.272624 samples/sec accuracy=39.347356 loss=2.677953 lr=0.096241 Epoch[045] Batch [0699]/[1880] Speed: 117.804236 samples/sec accuracy=39.406250 loss=2.676546 lr=0.096232 Epoch[045] Batch [0749]/[1880] Speed: 103.887128 samples/sec accuracy=39.391667 loss=2.676615 lr=0.096222 Epoch[045] Batch [0799]/[1880] Speed: 111.538112 samples/sec accuracy=39.404297 loss=2.677566 lr=0.096213 Epoch[045] Batch [0849]/[1880] Speed: 109.225364 samples/sec accuracy=39.406250 loss=2.678125 lr=0.096204 Epoch[045] Batch [0899]/[1880] Speed: 108.776663 samples/sec accuracy=39.539931 loss=2.675108 lr=0.096194 Epoch[045] Batch [0949]/[1880] Speed: 111.841307 samples/sec accuracy=39.497533 loss=2.677655 lr=0.096185 Epoch[045] Batch [0999]/[1880] Speed: 106.953111 samples/sec accuracy=39.482812 loss=2.679647 lr=0.096176 Epoch[045] Batch [1049]/[1880] Speed: 110.648150 samples/sec accuracy=39.504464 loss=2.678106 lr=0.096166 Epoch[045] Batch [1099]/[1880] Speed: 104.295687 samples/sec accuracy=39.580256 loss=2.675478 lr=0.096157 Epoch[045] Batch [1149]/[1880] Speed: 115.638941 samples/sec accuracy=39.531929 loss=2.676631 lr=0.096148 Epoch[045] Batch [1199]/[1880] Speed: 109.340567 samples/sec accuracy=39.551432 loss=2.676754 lr=0.096138 Epoch[045] Batch [1249]/[1880] Speed: 104.899161 samples/sec accuracy=39.553750 loss=2.676942 lr=0.096129 Epoch[045] Batch [1299]/[1880] Speed: 114.994235 samples/sec accuracy=39.550481 loss=2.678071 lr=0.096120 Epoch[045] Batch [1349]/[1880] Speed: 105.230578 samples/sec accuracy=39.534722 loss=2.678979 lr=0.096110 Epoch[045] Batch [1399]/[1880] Speed: 112.212779 samples/sec accuracy=39.513393 loss=2.680073 lr=0.096101 Epoch[045] Batch [1449]/[1880] Speed: 107.564504 samples/sec accuracy=39.509159 loss=2.680576 lr=0.096091 Epoch[045] Batch [1499]/[1880] Speed: 111.029928 samples/sec accuracy=39.511979 loss=2.680612 lr=0.096082 Epoch[045] Batch [1549]/[1880] Speed: 113.774797 samples/sec accuracy=39.514113 loss=2.680947 lr=0.096073 Epoch[045] Batch [1599]/[1880] Speed: 104.971783 samples/sec accuracy=39.538086 loss=2.679783 lr=0.096063 Epoch[045] Batch [1649]/[1880] Speed: 112.782014 samples/sec accuracy=39.529830 loss=2.679821 lr=0.096054 Epoch[045] Batch [1699]/[1880] Speed: 103.772726 samples/sec accuracy=39.529871 loss=2.680277 lr=0.096044 Epoch[045] Batch [1749]/[1880] Speed: 111.888889 samples/sec accuracy=39.525000 loss=2.680768 lr=0.096035 Epoch[045] Batch [1799]/[1880] Speed: 109.628889 samples/sec accuracy=39.517795 loss=2.681921 lr=0.096025 Epoch[045] Batch [1849]/[1880] Speed: 112.587611 samples/sec accuracy=39.505490 loss=2.683121 lr=0.096016 Batch [0049]/[0151]: acc-top1=35.765625 acc-top5=61.828125 Batch [0099]/[0151]: acc-top1=40.070312 acc-top5=65.085938 Batch [0149]/[0151]: acc-top1=38.437500 acc-top5=64.421875 [Epoch 045] training: accuracy=39.512550 loss=2.683207 [Epoch 045] speed: 108 samples/sec time cost: 2410.604250 [Epoch 045] validation: acc-top1=38.410596 acc-top5=64.419495 loss=2.789996 Epoch[046] Batch [0049]/[1879] Speed: 76.939702 samples/sec accuracy=40.609375 loss=2.652937 lr=0.096001 Epoch[046] Batch [0099]/[1879] Speed: 114.128539 samples/sec accuracy=40.781250 loss=2.633541 lr=0.095991 Epoch[046] Batch [0149]/[1879] Speed: 110.321181 samples/sec accuracy=40.536458 loss=2.643798 lr=0.095981 Epoch[046] Batch [0199]/[1879] Speed: 105.619816 samples/sec accuracy=40.445312 loss=2.654898 lr=0.095972 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109.550558 samples/sec accuracy=40.224330 loss=2.661778 lr=0.095876 Epoch[046] Batch [0749]/[1879] Speed: 107.036424 samples/sec accuracy=40.215625 loss=2.664488 lr=0.095866 Epoch[046] Batch [0799]/[1879] Speed: 117.436591 samples/sec accuracy=40.204102 loss=2.665605 lr=0.095856 Epoch[046] Batch [0849]/[1879] Speed: 103.822047 samples/sec accuracy=40.159007 loss=2.668148 lr=0.095847 Epoch[046] Batch [0899]/[1879] Speed: 111.914131 samples/sec accuracy=40.160590 loss=2.667014 lr=0.095837 Epoch[046] Batch [0949]/[1879] Speed: 108.786650 samples/sec accuracy=40.161184 loss=2.667730 lr=0.095827 Epoch[046] Batch [0999]/[1879] Speed: 111.477152 samples/sec accuracy=40.139844 loss=2.667606 lr=0.095818 Epoch[046] Batch [1049]/[1879] Speed: 105.408170 samples/sec accuracy=40.154018 loss=2.666645 lr=0.095808 Epoch[046] Batch [1099]/[1879] Speed: 111.527715 samples/sec accuracy=40.149148 loss=2.665581 lr=0.095798 Epoch[046] Batch [1149]/[1879] Speed: 105.487437 samples/sec accuracy=40.163723 loss=2.664909 lr=0.095788 Epoch[046] Batch [1199]/[1879] Speed: 116.885482 samples/sec accuracy=40.124349 loss=2.666219 lr=0.095779 Epoch[046] Batch [1249]/[1879] Speed: 103.598825 samples/sec accuracy=40.124375 loss=2.665671 lr=0.095769 Epoch[046] Batch [1299]/[1879] Speed: 112.591011 samples/sec accuracy=40.098558 loss=2.665933 lr=0.095759 Epoch[046] Batch [1349]/[1879] Speed: 114.208353 samples/sec accuracy=40.092014 loss=2.666427 lr=0.095749 Epoch[046] Batch [1399]/[1879] Speed: 104.471371 samples/sec accuracy=40.068638 loss=2.666711 lr=0.095739 Epoch[046] Batch [1449]/[1879] Speed: 113.247334 samples/sec accuracy=40.028556 loss=2.667710 lr=0.095730 Epoch[046] Batch [1499]/[1879] Speed: 103.944947 samples/sec accuracy=39.993750 loss=2.669547 lr=0.095720 Epoch[046] Batch [1549]/[1879] Speed: 117.407945 samples/sec accuracy=39.970766 loss=2.670688 lr=0.095710 Epoch[046] Batch [1599]/[1879] Speed: 106.403789 samples/sec accuracy=39.944824 loss=2.671813 lr=0.095700 Epoch[046] Batch [1649]/[1879] Speed: 110.361770 samples/sec accuracy=39.924242 loss=2.671630 lr=0.095690 Epoch[046] Batch [1699]/[1879] Speed: 112.372894 samples/sec accuracy=39.882812 loss=2.672529 lr=0.095680 Epoch[046] Batch [1749]/[1879] Speed: 105.196491 samples/sec accuracy=39.863393 loss=2.673150 lr=0.095670 Epoch[046] Batch [1799]/[1879] Speed: 115.872153 samples/sec accuracy=39.857639 loss=2.673008 lr=0.095661 Epoch[046] Batch [1849]/[1879] Speed: 107.466312 samples/sec accuracy=39.817145 loss=2.674423 lr=0.095651 Batch [0049]/[0151]: acc-top1=38.359375 acc-top5=64.296875 Batch [0099]/[0151]: acc-top1=41.734375 acc-top5=67.109375 Batch [0149]/[0151]: acc-top1=40.854167 acc-top5=66.947917 [Epoch 046] training: accuracy=39.803004 loss=2.674863 [Epoch 046] speed: 109 samples/sec time cost: 2406.887188 [Epoch 046] validation: acc-top1=40.816432 acc-top5=66.851200 loss=2.644198 Epoch[047] Batch [0049]/[1880] Speed: 77.586911 samples/sec accuracy=41.578125 loss=2.605203 lr=0.095635 Epoch[047] Batch 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accuracy=40.250000 loss=2.644124 lr=0.095535 Epoch[047] Batch [0599]/[1880] Speed: 111.795603 samples/sec accuracy=40.273438 loss=2.643045 lr=0.095525 Epoch[047] Batch [0649]/[1880] Speed: 105.691082 samples/sec accuracy=40.182692 loss=2.645066 lr=0.095515 Epoch[047] Batch [0699]/[1880] Speed: 112.100874 samples/sec accuracy=40.187500 loss=2.647571 lr=0.095505 Epoch[047] Batch [0749]/[1880] Speed: 107.694877 samples/sec accuracy=40.200000 loss=2.648807 lr=0.095495 Epoch[047] Batch [0799]/[1880] Speed: 112.738220 samples/sec accuracy=40.102539 loss=2.651924 lr=0.095485 Epoch[047] Batch [0849]/[1880] Speed: 106.807901 samples/sec accuracy=40.043199 loss=2.655509 lr=0.095475 Epoch[047] Batch [0899]/[1880] Speed: 113.452919 samples/sec accuracy=39.973090 loss=2.658547 lr=0.095465 Epoch[047] Batch [0949]/[1880] Speed: 105.349256 samples/sec accuracy=40.006579 loss=2.658024 lr=0.095454 Epoch[047] Batch [0999]/[1880] Speed: 113.130250 samples/sec accuracy=40.029688 loss=2.658268 lr=0.095444 Epoch[047] Batch [1049]/[1880] Speed: 110.319306 samples/sec accuracy=40.052083 loss=2.658235 lr=0.095434 Epoch[047] Batch [1099]/[1880] Speed: 108.823378 samples/sec accuracy=40.016335 loss=2.660792 lr=0.095424 Epoch[047] Batch [1149]/[1880] Speed: 113.705791 samples/sec accuracy=39.991848 loss=2.661898 lr=0.095414 Epoch[047] Batch [1199]/[1880] Speed: 105.788098 samples/sec accuracy=39.941406 loss=2.662586 lr=0.095404 Epoch[047] Batch [1249]/[1880] Speed: 111.846941 samples/sec accuracy=39.878750 loss=2.665529 lr=0.095394 Epoch[047] Batch [1299]/[1880] Speed: 108.343819 samples/sec accuracy=39.876803 loss=2.666576 lr=0.095383 Epoch[047] Batch [1349]/[1880] Speed: 112.595604 samples/sec accuracy=39.886574 loss=2.666294 lr=0.095373 Epoch[047] Batch [1399]/[1880] Speed: 106.859945 samples/sec accuracy=39.859375 loss=2.666948 lr=0.095363 Epoch[047] Batch [1449]/[1880] Speed: 109.804653 samples/sec accuracy=39.844289 loss=2.666692 lr=0.095353 Epoch[047] Batch [1499]/[1880] Speed: 111.950366 samples/sec accuracy=39.803646 loss=2.667158 lr=0.095342 Epoch[047] Batch [1549]/[1880] Speed: 108.852582 samples/sec accuracy=39.785282 loss=2.668379 lr=0.095332 Epoch[047] Batch [1599]/[1880] Speed: 108.091468 samples/sec accuracy=39.792480 loss=2.668925 lr=0.095322 Epoch[047] Batch [1649]/[1880] Speed: 110.092981 samples/sec accuracy=39.736269 loss=2.671321 lr=0.095312 Epoch[047] Batch [1699]/[1880] Speed: 107.906153 samples/sec accuracy=39.716452 loss=2.671373 lr=0.095301 Epoch[047] Batch [1749]/[1880] Speed: 113.523406 samples/sec accuracy=39.729464 loss=2.671469 lr=0.095291 Epoch[047] Batch [1799]/[1880] Speed: 107.786299 samples/sec accuracy=39.718750 loss=2.671957 lr=0.095281 Epoch[047] Batch [1849]/[1880] Speed: 109.489260 samples/sec accuracy=39.682010 loss=2.673954 lr=0.095271 Batch [0049]/[0151]: acc-top1=35.796875 acc-top5=61.953125 Batch [0099]/[0151]: acc-top1=39.875000 acc-top5=65.406250 Batch [0149]/[0151]: acc-top1=38.625000 acc-top5=65.083333 [Epoch 047] training: accuracy=39.687916 loss=2.674076 [Epoch 047] speed: 109 samples/sec time cost: 2406.238878 [Epoch 047] validation: acc-top1=38.565811 acc-top5=65.024834 loss=2.790209 Epoch[048] Batch [0049]/[1880] Speed: 76.296449 samples/sec accuracy=40.234375 loss=2.641430 lr=0.095254 Epoch[048] Batch [0099]/[1880] Speed: 113.367190 samples/sec accuracy=40.140625 loss=2.633298 lr=0.095244 Epoch[048] Batch [0149]/[1880] Speed: 103.635749 samples/sec accuracy=40.312500 loss=2.620741 lr=0.095233 Epoch[048] Batch [0199]/[1880] Speed: 114.491832 samples/sec accuracy=40.238281 loss=2.623396 lr=0.095223 Epoch[048] Batch [0249]/[1880] Speed: 117.163824 samples/sec accuracy=40.315625 loss=2.623885 lr=0.095213 Epoch[048] Batch [0299]/[1880] Speed: 101.384862 samples/sec accuracy=40.156250 loss=2.633686 lr=0.095202 Epoch[048] Batch [0349]/[1880] Speed: 116.786786 samples/sec accuracy=40.187500 loss=2.628912 lr=0.095192 Epoch[048] Batch [0399]/[1880] Speed: 104.288053 samples/sec accuracy=40.126953 loss=2.631758 lr=0.095181 Epoch[048] Batch [0449]/[1880] Speed: 112.424389 samples/sec accuracy=40.166667 loss=2.630896 lr=0.095171 Epoch[048] Batch [0499]/[1880] Speed: 107.742906 samples/sec accuracy=40.106250 loss=2.631289 lr=0.095161 Epoch[048] Batch [0549]/[1880] Speed: 108.867066 samples/sec accuracy=40.107955 loss=2.631828 lr=0.095150 Epoch[048] Batch [0599]/[1880] Speed: 112.702267 samples/sec accuracy=40.114583 loss=2.631768 lr=0.095140 Epoch[048] Batch [0649]/[1880] Speed: 104.070484 samples/sec accuracy=40.036058 loss=2.636972 lr=0.095129 Epoch[048] Batch [0699]/[1880] Speed: 117.569375 samples/sec accuracy=40.022321 loss=2.638952 lr=0.095119 Epoch[048] Batch [0749]/[1880] Speed: 107.465061 samples/sec accuracy=39.964583 loss=2.643425 lr=0.095108 Epoch[048] Batch [0799]/[1880] Speed: 110.673622 samples/sec accuracy=40.008789 loss=2.642407 lr=0.095098 Epoch[048] Batch [0849]/[1880] Speed: 110.350399 samples/sec accuracy=40.051471 loss=2.642209 lr=0.095087 Epoch[048] Batch [0899]/[1880] Speed: 106.594728 samples/sec accuracy=40.079861 loss=2.640931 lr=0.095077 Epoch[048] Batch [0949]/[1880] Speed: 113.249422 samples/sec accuracy=40.083059 loss=2.640031 lr=0.095066 Epoch[048] Batch [0999]/[1880] Speed: 107.447860 samples/sec accuracy=40.048437 loss=2.642685 lr=0.095056 Epoch[048] Batch [1049]/[1880] Speed: 111.985024 samples/sec accuracy=40.035714 loss=2.643293 lr=0.095045 Epoch[048] Batch [1099]/[1880] Speed: 106.466946 samples/sec accuracy=40.012074 loss=2.645133 lr=0.095035 Epoch[048] Batch [1149]/[1880] Speed: 112.446891 samples/sec accuracy=40.003397 loss=2.645267 lr=0.095024 Epoch[048] Batch [1199]/[1880] Speed: 112.058027 samples/sec accuracy=39.986328 loss=2.646948 lr=0.095013 Epoch[048] Batch [1249]/[1880] Speed: 110.348942 samples/sec accuracy=39.963750 loss=2.649084 lr=0.095003 Epoch[048] Batch [1299]/[1880] Speed: 111.933866 samples/sec accuracy=39.980168 loss=2.650030 lr=0.094992 Epoch[048] Batch [1349]/[1880] Speed: 107.334257 samples/sec accuracy=39.914931 loss=2.653203 lr=0.094982 Epoch[048] Batch [1399]/[1880] Speed: 111.457734 samples/sec accuracy=39.900670 loss=2.654714 lr=0.094971 Epoch[048] Batch [1449]/[1880] Speed: 104.847356 samples/sec accuracy=39.890625 loss=2.655838 lr=0.094960 Epoch[048] Batch [1499]/[1880] Speed: 114.258515 samples/sec accuracy=39.886979 loss=2.656942 lr=0.094950 Epoch[048] Batch [1549]/[1880] Speed: 109.819677 samples/sec accuracy=39.862903 loss=2.657534 lr=0.094939 Epoch[048] Batch [1599]/[1880] Speed: 111.445936 samples/sec accuracy=39.887695 loss=2.657699 lr=0.094929 Epoch[048] Batch [1649]/[1880] Speed: 104.955869 samples/sec accuracy=39.889678 loss=2.658563 lr=0.094918 Epoch[048] Batch [1699]/[1880] Speed: 117.155202 samples/sec accuracy=39.883732 loss=2.659864 lr=0.094907 Epoch[048] Batch [1749]/[1880] Speed: 102.563359 samples/sec accuracy=39.878125 loss=2.660700 lr=0.094896 Epoch[048] Batch [1799]/[1880] Speed: 116.377650 samples/sec accuracy=39.898438 loss=2.660639 lr=0.094886 Epoch[048] Batch [1849]/[1880] Speed: 104.983275 samples/sec accuracy=39.895693 loss=2.661134 lr=0.094875 Batch [0049]/[0151]: acc-top1=36.750000 acc-top5=63.015625 Batch [0099]/[0151]: acc-top1=41.265625 acc-top5=66.539062 Batch [0149]/[0151]: acc-top1=40.458333 acc-top5=67.031250 [Epoch 048] training: accuracy=39.890293 loss=2.661536 [Epoch 048] speed: 109 samples/sec time cost: 2405.259473 [Epoch 048] validation: acc-top1=40.423220 acc-top5=66.985720 loss=2.694789 Epoch[049] Batch [0049]/[1880] Speed: 75.846602 samples/sec accuracy=39.656250 loss=2.625947 lr=0.094858 Epoch[049] Batch [0099]/[1880] Speed: 114.763658 samples/sec accuracy=39.828125 loss=2.631364 lr=0.094847 Epoch[049] Batch [0149]/[1880] Speed: 109.387251 samples/sec accuracy=39.744792 loss=2.642514 lr=0.094836 Epoch[049] Batch [0199]/[1880] Speed: 107.935408 samples/sec accuracy=40.000000 loss=2.632100 lr=0.094826 Epoch[049] Batch [0249]/[1880] Speed: 112.735589 samples/sec accuracy=40.034375 loss=2.634197 lr=0.094815 Epoch[049] Batch [0299]/[1880] Speed: 105.286401 samples/sec accuracy=40.119792 loss=2.635735 lr=0.094804 Epoch[049] Batch [0349]/[1880] Speed: 114.296325 samples/sec accuracy=39.986607 loss=2.647280 lr=0.094793 Epoch[049] Batch [0399]/[1880] Speed: 102.365941 samples/sec accuracy=40.052734 loss=2.647316 lr=0.094783 Epoch[049] Batch [0449]/[1880] Speed: 116.390446 samples/sec accuracy=40.071181 loss=2.646464 lr=0.094772 Epoch[049] Batch [0499]/[1880] Speed: 106.534360 samples/sec accuracy=40.003125 loss=2.650002 lr=0.094761 Epoch[049] Batch [0549]/[1880] Speed: 111.851223 samples/sec accuracy=40.001420 loss=2.651989 lr=0.094750 Epoch[049] Batch [0599]/[1880] Speed: 113.804989 samples/sec accuracy=40.036458 loss=2.649411 lr=0.094739 Epoch[049] Batch [0649]/[1880] Speed: 105.691615 samples/sec accuracy=39.992788 loss=2.649896 lr=0.094728 Epoch[049] Batch [0699]/[1880] Speed: 114.102039 samples/sec accuracy=39.931920 loss=2.652094 lr=0.094717 Epoch[049] Batch [0749]/[1880] Speed: 103.451815 samples/sec accuracy=39.950000 loss=2.650988 lr=0.094707 Epoch[049] Batch [0799]/[1880] Speed: 114.615502 samples/sec accuracy=39.953125 loss=2.651868 lr=0.094696 Epoch[049] Batch [0849]/[1880] Speed: 104.514682 samples/sec accuracy=39.973346 loss=2.653736 lr=0.094685 Epoch[049] Batch [0899]/[1880] Speed: 112.653163 samples/sec accuracy=39.982639 loss=2.654709 lr=0.094674 Epoch[049] Batch [0949]/[1880] Speed: 116.125466 samples/sec accuracy=40.016447 loss=2.653389 lr=0.094663 Epoch[049] Batch [0999]/[1880] Speed: 100.889185 samples/sec accuracy=39.983594 loss=2.655380 lr=0.094652 Epoch[049] Batch [1049]/[1880] Speed: 113.283539 samples/sec accuracy=39.994792 loss=2.655424 lr=0.094641 Epoch[049] Batch [1099]/[1880] Speed: 104.722522 samples/sec accuracy=39.970881 loss=2.656615 lr=0.094630 Epoch[049] Batch [1149]/[1880] Speed: 115.592588 samples/sec accuracy=39.974185 loss=2.656331 lr=0.094619 Epoch[049] Batch [1199]/[1880] Speed: 110.736161 samples/sec accuracy=40.000651 loss=2.655590 lr=0.094608 Epoch[049] Batch [1249]/[1880] Speed: 102.116583 samples/sec accuracy=39.993125 loss=2.657435 lr=0.094597 Epoch[049] Batch [1299]/[1880] Speed: 118.713555 samples/sec accuracy=39.975962 loss=2.657747 lr=0.094586 Epoch[049] Batch [1349]/[1880] Speed: 107.662254 samples/sec accuracy=39.950231 loss=2.658863 lr=0.094575 Epoch[049] Batch [1399]/[1880] Speed: 108.451298 samples/sec accuracy=39.974888 loss=2.658636 lr=0.094564 Epoch[049] Batch [1449]/[1880] Speed: 111.576320 samples/sec accuracy=39.991918 loss=2.657876 lr=0.094553 Epoch[049] Batch [1499]/[1880] Speed: 104.249675 samples/sec accuracy=39.981771 loss=2.659264 lr=0.094542 Epoch[049] Batch [1549]/[1880] Speed: 114.337034 samples/sec accuracy=39.979335 loss=2.658973 lr=0.094531 Epoch[049] Batch [1599]/[1880] Speed: 105.377786 samples/sec accuracy=39.974121 loss=2.659421 lr=0.094520 Epoch[049] Batch [1649]/[1880] Speed: 112.480889 samples/sec accuracy=39.992898 loss=2.658790 lr=0.094509 Epoch[049] Batch [1699]/[1880] Speed: 114.069557 samples/sec accuracy=40.034467 loss=2.657399 lr=0.094498 Epoch[049] Batch [1749]/[1880] Speed: 102.096197 samples/sec accuracy=40.020089 loss=2.658488 lr=0.094487 Epoch[049] Batch [1799]/[1880] Speed: 115.706141 samples/sec accuracy=40.040799 loss=2.657453 lr=0.094476 Epoch[049] Batch [1849]/[1880] Speed: 105.798449 samples/sec accuracy=40.023226 loss=2.658278 lr=0.094465 Batch [0049]/[0151]: acc-top1=36.234375 acc-top5=63.468750 Batch [0099]/[0151]: acc-top1=41.601562 acc-top5=67.093750 Batch [0149]/[0151]: acc-top1=40.192708 acc-top5=66.755208 [Epoch 049] training: accuracy=40.010805 loss=2.659070 [Epoch 049] speed: 108 samples/sec time cost: 2409.727556 [Epoch 049] validation: acc-top1=40.159354 acc-top5=66.716680 loss=2.672175 Epoch[050] Batch [0049]/[1880] Speed: 75.752076 samples/sec accuracy=40.484375 loss=2.594971 lr=0.094447 Epoch[050] Batch [0099]/[1880] Speed: 118.171003 samples/sec accuracy=41.320312 loss=2.588955 lr=0.094436 Epoch[050] Batch [0149]/[1880] Speed: 102.937893 samples/sec accuracy=41.078125 loss=2.604960 lr=0.094425 Epoch[050] Batch [0199]/[1880] Speed: 114.128848 samples/sec accuracy=41.007812 loss=2.609604 lr=0.094413 Epoch[050] Batch [0249]/[1880] Speed: 107.495106 samples/sec accuracy=40.700000 loss=2.619787 lr=0.094402 Epoch[050] Batch [0299]/[1880] Speed: 109.701856 samples/sec accuracy=40.664062 loss=2.616454 lr=0.094391 Epoch[050] Batch [0349]/[1880] Speed: 114.095046 samples/sec accuracy=40.595982 loss=2.622207 lr=0.094380 Epoch[050] Batch [0399]/[1880] Speed: 106.049995 samples/sec accuracy=40.496094 loss=2.624625 lr=0.094369 Epoch[050] Batch [0449]/[1880] Speed: 110.580905 samples/sec accuracy=40.418403 loss=2.629873 lr=0.094357 Epoch[050] Batch [0499]/[1880] Speed: 106.562717 samples/sec accuracy=40.357813 loss=2.633479 lr=0.094346 Epoch[050] Batch [0549]/[1880] Speed: 111.720989 samples/sec accuracy=40.470170 loss=2.629279 lr=0.094335 Epoch[050] Batch [0599]/[1880] Speed: 107.905104 samples/sec accuracy=40.449219 loss=2.631796 lr=0.094324 Epoch[050] Batch [0649]/[1880] Speed: 109.874750 samples/sec accuracy=40.384615 loss=2.635381 lr=0.094313 Epoch[050] Batch [0699]/[1880] Speed: 111.562361 samples/sec accuracy=40.404018 loss=2.638209 lr=0.094301 Epoch[050] Batch [0749]/[1880] Speed: 108.519945 samples/sec accuracy=40.351042 loss=2.639804 lr=0.094290 Epoch[050] Batch [0799]/[1880] Speed: 112.076433 samples/sec accuracy=40.370117 loss=2.638155 lr=0.094279 Epoch[050] Batch [0849]/[1880] Speed: 111.519019 samples/sec accuracy=40.385110 loss=2.637212 lr=0.094267 Epoch[050] Batch [0899]/[1880] Speed: 105.221729 samples/sec accuracy=40.333333 loss=2.638622 lr=0.094256 Epoch[050] Batch [0949]/[1880] Speed: 112.158389 samples/sec accuracy=40.325658 loss=2.637931 lr=0.094245 Epoch[050] Batch [0999]/[1880] Speed: 110.762195 samples/sec accuracy=40.302344 loss=2.640164 lr=0.094233 Epoch[050] Batch [1049]/[1880] Speed: 109.435006 samples/sec accuracy=40.298363 loss=2.639188 lr=0.094222 Epoch[050] Batch [1099]/[1880] Speed: 108.343813 samples/sec accuracy=40.280540 loss=2.640046 lr=0.094211 Epoch[050] Batch [1149]/[1880] Speed: 109.364175 samples/sec accuracy=40.252717 loss=2.642060 lr=0.094199 Epoch[050] Batch [1199]/[1880] Speed: 108.023829 samples/sec accuracy=40.255208 loss=2.642032 lr=0.094188 Epoch[050] Batch [1249]/[1880] Speed: 114.639819 samples/sec accuracy=40.230625 loss=2.642972 lr=0.094177 Epoch[050] Batch [1299]/[1880] Speed: 102.497724 samples/sec accuracy=40.251803 loss=2.642331 lr=0.094165 Epoch[050] Batch [1349]/[1880] Speed: 115.623674 samples/sec accuracy=40.245949 loss=2.643255 lr=0.094154 Epoch[050] Batch [1399]/[1880] Speed: 102.522555 samples/sec accuracy=40.224330 loss=2.644098 lr=0.094142 Epoch[050] Batch [1449]/[1880] Speed: 114.582061 samples/sec accuracy=40.264547 loss=2.642428 lr=0.094131 Epoch[050] Batch [1499]/[1880] Speed: 110.282410 samples/sec accuracy=40.260937 loss=2.642988 lr=0.094120 Epoch[050] Batch [1549]/[1880] Speed: 108.425592 samples/sec accuracy=40.243952 loss=2.644656 lr=0.094108 Epoch[050] Batch [1599]/[1880] Speed: 109.231083 samples/sec accuracy=40.265137 loss=2.643933 lr=0.094097 Epoch[050] Batch [1649]/[1880] Speed: 113.060305 samples/sec accuracy=40.256155 loss=2.644548 lr=0.094085 Epoch[050] Batch [1699]/[1880] Speed: 103.331375 samples/sec accuracy=40.217371 loss=2.647105 lr=0.094074 Epoch[050] Batch [1749]/[1880] Speed: 113.083036 samples/sec accuracy=40.229911 loss=2.647545 lr=0.094062 Epoch[050] Batch [1799]/[1880] Speed: 109.831840 samples/sec accuracy=40.208333 loss=2.648545 lr=0.094051 Epoch[050] Batch [1849]/[1880] Speed: 110.060750 samples/sec accuracy=40.216639 loss=2.648274 lr=0.094039 Batch [0049]/[0151]: acc-top1=36.500000 acc-top5=63.453125 Batch [0099]/[0151]: acc-top1=41.304688 acc-top5=66.601562 Batch [0149]/[0151]: acc-top1=39.947917 acc-top5=66.250000 [Epoch 050] training: accuracy=40.220662 loss=2.648708 [Epoch 050] speed: 108 samples/sec time cost: 2411.270543 [Epoch 050] validation: acc-top1=39.916184 acc-top5=66.199296 loss=2.700751 Epoch[051] Batch [0049]/[1880] Speed: 74.450848 samples/sec accuracy=40.890625 loss=2.617209 lr=0.094021 Epoch[051] Batch [0099]/[1880] Speed: 112.078122 samples/sec accuracy=40.710938 loss=2.610133 lr=0.094009 Epoch[051] Batch [0149]/[1880] Speed: 111.820474 samples/sec accuracy=40.562500 loss=2.614141 lr=0.093998 Epoch[051] Batch [0199]/[1880] Speed: 106.544515 samples/sec accuracy=40.535156 loss=2.624338 lr=0.093986 Epoch[051] Batch [0249]/[1880] Speed: 114.059026 samples/sec accuracy=40.468750 loss=2.627565 lr=0.093975 Epoch[051] Batch [0299]/[1880] Speed: 109.949905 samples/sec accuracy=40.533854 loss=2.628094 lr=0.093963 Epoch[051] Batch [0349]/[1880] Speed: 109.663593 samples/sec accuracy=40.448661 loss=2.634515 lr=0.093952 Epoch[051] Batch [0399]/[1880] Speed: 107.712814 samples/sec accuracy=40.369141 loss=2.638192 lr=0.093940 Epoch[051] Batch [0449]/[1880] Speed: 110.771851 samples/sec accuracy=40.484375 loss=2.632129 lr=0.093928 Epoch[051] Batch [0499]/[1880] Speed: 109.850579 samples/sec accuracy=40.493750 loss=2.633385 lr=0.093917 Epoch[051] Batch [0549]/[1880] Speed: 109.339105 samples/sec accuracy=40.599432 loss=2.629350 lr=0.093905 Epoch[051] Batch [0599]/[1880] Speed: 109.847511 samples/sec accuracy=40.587240 loss=2.631084 lr=0.093894 Epoch[051] Batch [0649]/[1880] Speed: 112.145462 samples/sec accuracy=40.618990 loss=2.632461 lr=0.093882 Epoch[051] Batch [0699]/[1880] Speed: 105.090921 samples/sec accuracy=40.632812 loss=2.631328 lr=0.093870 Epoch[051] Batch [0749]/[1880] Speed: 114.565198 samples/sec accuracy=40.684375 loss=2.632094 lr=0.093859 Epoch[051] Batch [0799]/[1880] Speed: 103.308389 samples/sec accuracy=40.688477 loss=2.631784 lr=0.093847 Epoch[051] Batch [0849]/[1880] Speed: 115.741739 samples/sec accuracy=40.711397 loss=2.631250 lr=0.093835 Epoch[051] Batch [0899]/[1880] Speed: 107.698838 samples/sec accuracy=40.611111 loss=2.636274 lr=0.093824 Epoch[051] Batch [0949]/[1880] Speed: 111.943730 samples/sec accuracy=40.639803 loss=2.633416 lr=0.093812 Epoch[051] Batch [0999]/[1880] Speed: 110.439506 samples/sec accuracy=40.596094 loss=2.634160 lr=0.093800 Epoch[051] Batch [1049]/[1880] Speed: 104.727821 samples/sec accuracy=40.561012 loss=2.635343 lr=0.093788 Epoch[051] Batch [1099]/[1880] Speed: 111.821403 samples/sec accuracy=40.546165 loss=2.636649 lr=0.093777 Epoch[051] Batch [1149]/[1880] Speed: 106.312785 samples/sec accuracy=40.549592 loss=2.635923 lr=0.093765 Epoch[051] Batch [1199]/[1880] Speed: 111.870543 samples/sec accuracy=40.518229 loss=2.636732 lr=0.093753 Epoch[051] Batch [1249]/[1880] Speed: 111.462978 samples/sec accuracy=40.448750 loss=2.639761 lr=0.093741 Epoch[051] Batch [1299]/[1880] Speed: 105.038338 samples/sec accuracy=40.442909 loss=2.639689 lr=0.093730 Epoch[051] Batch [1349]/[1880] Speed: 115.495160 samples/sec accuracy=40.442130 loss=2.639123 lr=0.093718 Epoch[051] Batch [1399]/[1880] Speed: 103.683473 samples/sec accuracy=40.429129 loss=2.640666 lr=0.093706 Epoch[051] Batch [1449]/[1880] Speed: 114.024528 samples/sec accuracy=40.445582 loss=2.640735 lr=0.093694 Epoch[051] Batch [1499]/[1880] Speed: 107.139439 samples/sec accuracy=40.463542 loss=2.639881 lr=0.093682 Epoch[051] Batch [1549]/[1880] Speed: 112.019918 samples/sec accuracy=40.458669 loss=2.641019 lr=0.093671 Epoch[051] Batch [1599]/[1880] Speed: 106.780399 samples/sec accuracy=40.439941 loss=2.641864 lr=0.093659 Epoch[051] Batch [1649]/[1880] Speed: 110.645768 samples/sec accuracy=40.393939 loss=2.643337 lr=0.093647 Epoch[051] Batch [1699]/[1880] Speed: 111.605853 samples/sec accuracy=40.402114 loss=2.643443 lr=0.093635 Epoch[051] Batch [1749]/[1880] Speed: 109.235864 samples/sec accuracy=40.391964 loss=2.643259 lr=0.093623 Epoch[051] Batch [1799]/[1880] Speed: 111.868137 samples/sec accuracy=40.374566 loss=2.644273 lr=0.093611 Epoch[051] Batch [1849]/[1880] Speed: 108.965133 samples/sec accuracy=40.376267 loss=2.644553 lr=0.093599 Batch [0049]/[0151]: acc-top1=34.968750 acc-top5=61.187500 Batch [0099]/[0151]: acc-top1=39.304688 acc-top5=64.242188 Batch [0149]/[0151]: acc-top1=38.406250 acc-top5=64.625000 [Epoch 051] training: accuracy=40.364860 loss=2.644938 [Epoch 051] speed: 108 samples/sec time cost: 2409.568555 [Epoch 051] validation: acc-top1=38.353684 acc-top5=64.579884 loss=2.769803 Epoch[052] Batch [0049]/[1879] Speed: 76.891236 samples/sec accuracy=40.765625 loss=2.599008 lr=0.093580 Epoch[052] Batch [0099]/[1879] Speed: 116.737632 samples/sec accuracy=40.906250 loss=2.612040 lr=0.093568 Epoch[052] Batch [0149]/[1879] Speed: 105.787008 samples/sec accuracy=40.890625 loss=2.616809 lr=0.093556 Epoch[052] Batch [0199]/[1879] Speed: 113.165610 samples/sec accuracy=40.730469 loss=2.627565 lr=0.093545 Epoch[052] Batch [0249]/[1879] Speed: 109.881104 samples/sec accuracy=40.690625 loss=2.618520 lr=0.093533 Epoch[052] Batch [0299]/[1879] Speed: 106.686215 samples/sec accuracy=40.648438 loss=2.622099 lr=0.093521 Epoch[052] Batch [0349]/[1879] Speed: 115.026022 samples/sec accuracy=40.758929 loss=2.616708 lr=0.093509 Epoch[052] Batch [0399]/[1879] Speed: 104.239080 samples/sec accuracy=40.730469 loss=2.616658 lr=0.093497 Epoch[052] Batch [0449]/[1879] Speed: 112.089534 samples/sec accuracy=40.739583 loss=2.620022 lr=0.093485 Epoch[052] Batch [0499]/[1879] Speed: 106.601413 samples/sec accuracy=40.696875 loss=2.618348 lr=0.093473 Epoch[052] Batch [0549]/[1879] Speed: 116.586512 samples/sec accuracy=40.708807 loss=2.618865 lr=0.093461 Epoch[052] Batch [0599]/[1879] Speed: 108.904334 samples/sec accuracy=40.795573 loss=2.616603 lr=0.093449 Epoch[052] Batch [0649]/[1879] Speed: 108.165110 samples/sec accuracy=40.729567 loss=2.618863 lr=0.093437 Epoch[052] Batch [0699]/[1879] Speed: 114.105087 samples/sec accuracy=40.724330 loss=2.618924 lr=0.093425 Epoch[052] Batch [0749]/[1879] Speed: 104.319695 samples/sec accuracy=40.715625 loss=2.619403 lr=0.093413 Epoch[052] Batch [0799]/[1879] Speed: 113.230707 samples/sec accuracy=40.728516 loss=2.618430 lr=0.093400 Epoch[052] Batch [0849]/[1879] Speed: 104.960135 samples/sec accuracy=40.755515 loss=2.618354 lr=0.093388 Epoch[052] Batch [0899]/[1879] Speed: 115.269111 samples/sec accuracy=40.671875 loss=2.620798 lr=0.093376 Epoch[052] Batch [0949]/[1879] Speed: 110.819047 samples/sec accuracy=40.656250 loss=2.622088 lr=0.093364 Epoch[052] Batch [0999]/[1879] Speed: 105.813270 samples/sec accuracy=40.587500 loss=2.624548 lr=0.093352 Epoch[052] Batch [1049]/[1879] Speed: 116.001165 samples/sec accuracy=40.538690 loss=2.625220 lr=0.093340 Epoch[052] Batch [1099]/[1879] Speed: 102.617546 samples/sec accuracy=40.479403 loss=2.629223 lr=0.093328 Epoch[052] Batch [1149]/[1879] Speed: 116.982345 samples/sec accuracy=40.485054 loss=2.629417 lr=0.093316 Epoch[052] Batch [1199]/[1879] Speed: 102.541010 samples/sec accuracy=40.524740 loss=2.628828 lr=0.093304 Epoch[052] Batch [1249]/[1879] Speed: 113.972138 samples/sec accuracy=40.513750 loss=2.629462 lr=0.093291 Epoch[052] Batch [1299]/[1879] Speed: 107.261247 samples/sec accuracy=40.529447 loss=2.629873 lr=0.093279 Epoch[052] Batch [1349]/[1879] Speed: 111.535172 samples/sec accuracy=40.538773 loss=2.629814 lr=0.093267 Epoch[052] Batch [1399]/[1879] Speed: 112.618345 samples/sec accuracy=40.538504 loss=2.630411 lr=0.093255 Epoch[052] Batch [1449]/[1879] Speed: 105.077367 samples/sec accuracy=40.467672 loss=2.634066 lr=0.093243 Epoch[052] Batch [1499]/[1879] Speed: 115.220811 samples/sec accuracy=40.456771 loss=2.634847 lr=0.093231 Epoch[052] Batch [1549]/[1879] Speed: 107.922173 samples/sec accuracy=40.491431 loss=2.633623 lr=0.093218 Epoch[052] Batch [1599]/[1879] Speed: 106.560116 samples/sec accuracy=40.464355 loss=2.635248 lr=0.093206 Epoch[052] Batch [1649]/[1879] Speed: 113.726263 samples/sec accuracy=40.444602 loss=2.637084 lr=0.093194 Epoch[052] Batch [1699]/[1879] Speed: 106.174679 samples/sec accuracy=40.472886 loss=2.636661 lr=0.093182 Epoch[052] Batch [1749]/[1879] Speed: 113.012136 samples/sec accuracy=40.463393 loss=2.636911 lr=0.093169 Epoch[052] Batch [1799]/[1879] Speed: 107.719282 samples/sec accuracy=40.468750 loss=2.636967 lr=0.093157 Epoch[052] Batch [1849]/[1879] Speed: 109.704039 samples/sec accuracy=40.485642 loss=2.636371 lr=0.093145 Batch [0049]/[0151]: acc-top1=37.734375 acc-top5=64.406250 Batch [0099]/[0151]: acc-top1=41.195312 acc-top5=67.156250 Batch [0149]/[0151]: acc-top1=40.265625 acc-top5=67.010417 [Epoch 052] training: accuracy=40.462846 loss=2.637802 [Epoch 052] speed: 109 samples/sec time cost: 2404.812474 [Epoch 052] validation: acc-top1=40.226614 acc-top5=66.928808 loss=2.655674 Epoch[053] Batch [0049]/[1880] Speed: 78.118171 samples/sec accuracy=41.140625 loss=2.569994 lr=0.093125 Epoch[053] Batch [0099]/[1880] Speed: 112.213989 samples/sec accuracy=40.906250 loss=2.608930 lr=0.093113 Epoch[053] Batch [0149]/[1880] Speed: 108.659665 samples/sec accuracy=41.093750 loss=2.608504 lr=0.093101 Epoch[053] Batch [0199]/[1880] Speed: 110.080930 samples/sec accuracy=41.023438 loss=2.605654 lr=0.093088 Epoch[053] Batch [0249]/[1880] Speed: 106.924960 samples/sec accuracy=41.168750 loss=2.596176 lr=0.093076 Epoch[053] Batch [0299]/[1880] Speed: 113.401966 samples/sec accuracy=41.083333 loss=2.603670 lr=0.093064 Epoch[053] Batch [0349]/[1880] Speed: 109.727141 samples/sec accuracy=40.935268 loss=2.611778 lr=0.093051 Epoch[053] Batch [0399]/[1880] Speed: 109.380134 samples/sec accuracy=40.888672 loss=2.614203 lr=0.093039 Epoch[053] Batch [0449]/[1880] Speed: 111.223615 samples/sec accuracy=40.855903 loss=2.615129 lr=0.093027 Epoch[053] Batch [0499]/[1880] Speed: 107.775655 samples/sec accuracy=40.712500 loss=2.621914 lr=0.093014 Epoch[053] Batch [0549]/[1880] Speed: 109.743745 samples/sec accuracy=40.680398 loss=2.621890 lr=0.093002 Epoch[053] Batch [0599]/[1880] Speed: 110.534832 samples/sec accuracy=40.674479 loss=2.623364 lr=0.092989 Epoch[053] Batch [0649]/[1880] Speed: 107.822175 samples/sec accuracy=40.640625 loss=2.623349 lr=0.092977 Epoch[053] Batch [0699]/[1880] Speed: 112.998587 samples/sec accuracy=40.591518 loss=2.623877 lr=0.092965 Epoch[053] Batch [0749]/[1880] Speed: 106.051569 samples/sec accuracy=40.678125 loss=2.623666 lr=0.092952 Epoch[053] Batch [0799]/[1880] Speed: 110.659863 samples/sec accuracy=40.651367 loss=2.624864 lr=0.092940 Epoch[053] Batch [0849]/[1880] Speed: 109.723614 samples/sec accuracy=40.636029 loss=2.625978 lr=0.092927 Epoch[053] Batch [0899]/[1880] Speed: 111.072539 samples/sec accuracy=40.629340 loss=2.625707 lr=0.092915 Epoch[053] Batch [0949]/[1880] Speed: 110.816099 samples/sec accuracy=40.633224 loss=2.625955 lr=0.092902 Epoch[053] Batch [0999]/[1880] Speed: 105.288344 samples/sec accuracy=40.601562 loss=2.627401 lr=0.092890 Epoch[053] Batch [1049]/[1880] Speed: 114.010920 samples/sec accuracy=40.623512 loss=2.627850 lr=0.092877 Epoch[053] Batch [1099]/[1880] Speed: 106.439063 samples/sec accuracy=40.653409 loss=2.626472 lr=0.092865 Epoch[053] Batch [1149]/[1880] Speed: 111.497110 samples/sec accuracy=40.650815 loss=2.626463 lr=0.092852 Epoch[053] Batch [1199]/[1880] Speed: 108.624964 samples/sec accuracy=40.684896 loss=2.624447 lr=0.092840 Epoch[053] Batch [1249]/[1880] Speed: 109.474293 samples/sec accuracy=40.658750 loss=2.626412 lr=0.092827 Epoch[053] Batch [1299]/[1880] Speed: 112.624308 samples/sec accuracy=40.679087 loss=2.625891 lr=0.092815 Epoch[053] Batch [1349]/[1880] Speed: 105.374455 samples/sec accuracy=40.679398 loss=2.626219 lr=0.092802 Epoch[053] Batch [1399]/[1880] Speed: 113.668024 samples/sec accuracy=40.673549 loss=2.627296 lr=0.092790 Epoch[053] Batch [1449]/[1880] Speed: 105.090374 samples/sec accuracy=40.649246 loss=2.628285 lr=0.092777 Epoch[053] Batch [1499]/[1880] Speed: 114.669271 samples/sec accuracy=40.625521 loss=2.629422 lr=0.092764 Epoch[053] Batch [1549]/[1880] Speed: 108.022872 samples/sec accuracy=40.649698 loss=2.629258 lr=0.092752 Epoch[053] Batch [1599]/[1880] Speed: 110.343937 samples/sec accuracy=40.652832 loss=2.629345 lr=0.092739 Epoch[053] Batch [1649]/[1880] Speed: 109.056178 samples/sec accuracy=40.651042 loss=2.628942 lr=0.092727 Epoch[053] Batch [1699]/[1880] Speed: 110.362557 samples/sec accuracy=40.605699 loss=2.630050 lr=0.092714 Epoch[053] Batch [1749]/[1880] Speed: 109.118706 samples/sec accuracy=40.625446 loss=2.629792 lr=0.092701 Epoch[053] Batch [1799]/[1880] Speed: 109.740692 samples/sec accuracy=40.618924 loss=2.630411 lr=0.092689 Epoch[053] Batch [1849]/[1880] Speed: 109.986371 samples/sec accuracy=40.607686 loss=2.629589 lr=0.092676 Batch [0049]/[0151]: acc-top1=37.359375 acc-top5=63.375000 Batch [0099]/[0151]: acc-top1=40.984375 acc-top5=66.281250 Batch [0149]/[0151]: acc-top1=40.385417 acc-top5=66.557292 [Epoch 053] training: accuracy=40.589678 loss=2.630597 [Epoch 053] speed: 109 samples/sec time cost: 2408.276319 [Epoch 053] validation: acc-top1=40.340439 acc-top5=66.504553 loss=2.678472 Epoch[054] Batch [0049]/[1880] Speed: 75.639434 samples/sec accuracy=40.687500 loss=2.594921 lr=0.092656 Epoch[054] Batch [0099]/[1880] Speed: 115.003843 samples/sec accuracy=40.867188 loss=2.610373 lr=0.092643 Epoch[054] Batch [0149]/[1880] Speed: 109.798470 samples/sec accuracy=40.677083 loss=2.617818 lr=0.092630 Epoch[054] Batch [0199]/[1880] Speed: 109.440727 samples/sec accuracy=40.472656 loss=2.625587 lr=0.092618 Epoch[054] Batch [0249]/[1880] Speed: 105.685695 samples/sec accuracy=40.571875 loss=2.624909 lr=0.092605 Epoch[054] Batch [0299]/[1880] Speed: 111.297199 samples/sec accuracy=40.611979 loss=2.628109 lr=0.092592 Epoch[054] Batch [0349]/[1880] Speed: 115.335853 samples/sec accuracy=40.832589 loss=2.621166 lr=0.092580 Epoch[054] Batch [0399]/[1880] Speed: 101.576618 samples/sec accuracy=40.839844 loss=2.618571 lr=0.092567 Epoch[054] Batch [0449]/[1880] Speed: 115.285301 samples/sec accuracy=40.859375 loss=2.621284 lr=0.092554 Epoch[054] Batch [0499]/[1880] Speed: 107.796197 samples/sec accuracy=40.832812 loss=2.620745 lr=0.092541 Epoch[054] Batch [0549]/[1880] Speed: 107.916113 samples/sec accuracy=40.811080 loss=2.622567 lr=0.092529 Epoch[054] Batch [0599]/[1880] Speed: 112.458956 samples/sec accuracy=40.843750 loss=2.622092 lr=0.092516 Epoch[054] Batch [0649]/[1880] Speed: 106.769785 samples/sec accuracy=40.850962 loss=2.621001 lr=0.092503 Epoch[054] Batch [0699]/[1880] Speed: 111.970496 samples/sec accuracy=40.742188 loss=2.626225 lr=0.092490 Epoch[054] Batch [0749]/[1880] Speed: 107.195204 samples/sec accuracy=40.739583 loss=2.627102 lr=0.092477 Epoch[054] Batch [0799]/[1880] Speed: 111.274747 samples/sec accuracy=40.803711 loss=2.626396 lr=0.092464 Epoch[054] Batch [0849]/[1880] Speed: 105.994159 samples/sec accuracy=40.753676 loss=2.626882 lr=0.092452 Epoch[054] Batch [0899]/[1880] Speed: 117.185321 samples/sec accuracy=40.809028 loss=2.625492 lr=0.092439 Epoch[054] Batch [0949]/[1880] Speed: 102.980886 samples/sec accuracy=40.780428 loss=2.626746 lr=0.092426 Epoch[054] Batch [0999]/[1880] Speed: 115.093329 samples/sec accuracy=40.720312 loss=2.629580 lr=0.092413 Epoch[054] Batch [1049]/[1880] Speed: 103.954096 samples/sec accuracy=40.726935 loss=2.629688 lr=0.092400 Epoch[054] Batch [1099]/[1880] Speed: 112.579104 samples/sec accuracy=40.745739 loss=2.629762 lr=0.092387 Epoch[054] Batch [1149]/[1880] Speed: 111.381202 samples/sec accuracy=40.714674 loss=2.630559 lr=0.092374 Epoch[054] Batch [1199]/[1880] Speed: 108.235495 samples/sec accuracy=40.710286 loss=2.630324 lr=0.092362 Epoch[054] Batch [1249]/[1880] Speed: 115.539533 samples/sec accuracy=40.715625 loss=2.630482 lr=0.092349 Epoch[054] Batch [1299]/[1880] Speed: 103.204735 samples/sec accuracy=40.756010 loss=2.629201 lr=0.092336 Epoch[054] Batch [1349]/[1880] Speed: 115.456482 samples/sec accuracy=40.781829 loss=2.628724 lr=0.092323 Epoch[054] Batch [1399]/[1880] Speed: 105.836853 samples/sec accuracy=40.773438 loss=2.628254 lr=0.092310 Epoch[054] Batch [1449]/[1880] Speed: 110.747817 samples/sec accuracy=40.732759 loss=2.629028 lr=0.092297 Epoch[054] Batch [1499]/[1880] Speed: 107.108474 samples/sec accuracy=40.722917 loss=2.629434 lr=0.092284 Epoch[054] Batch [1549]/[1880] Speed: 115.309175 samples/sec accuracy=40.725806 loss=2.629848 lr=0.092271 Epoch[054] Batch [1599]/[1880] Speed: 106.632904 samples/sec accuracy=40.677734 loss=2.631023 lr=0.092258 Epoch[054] Batch [1649]/[1880] Speed: 112.155822 samples/sec accuracy=40.655303 loss=2.630934 lr=0.092245 Epoch[054] Batch [1699]/[1880] Speed: 111.106154 samples/sec accuracy=40.659926 loss=2.630749 lr=0.092232 Epoch[054] Batch [1749]/[1880] Speed: 102.757754 samples/sec accuracy=40.663393 loss=2.630538 lr=0.092219 Epoch[054] Batch [1799]/[1880] Speed: 114.904368 samples/sec accuracy=40.674045 loss=2.629428 lr=0.092206 Epoch[054] Batch [1849]/[1880] Speed: 108.010536 samples/sec accuracy=40.689189 loss=2.628869 lr=0.092193 Batch [0049]/[0151]: acc-top1=35.093750 acc-top5=61.546875 Batch [0099]/[0151]: acc-top1=38.976562 acc-top5=64.585938 Batch [0149]/[0151]: acc-top1=37.546875 acc-top5=63.989583 [Epoch 054] training: accuracy=40.658245 loss=2.629700 [Epoch 054] speed: 108 samples/sec time cost: 2409.326700 [Epoch 054] validation: acc-top1=37.541391 acc-top5=63.953849 loss=2.925299 Epoch[055] Batch [0049]/[1880] Speed: 76.946681 samples/sec accuracy=41.781250 loss=2.578855 lr=0.092172 Epoch[055] Batch [0099]/[1880] Speed: 113.555101 samples/sec accuracy=42.265625 loss=2.557252 lr=0.092159 Epoch[055] Batch [0149]/[1880] Speed: 105.635558 samples/sec accuracy=42.463542 loss=2.547894 lr=0.092146 Epoch[055] Batch [0199]/[1880] Speed: 112.906091 samples/sec accuracy=42.132812 loss=2.556450 lr=0.092133 Epoch[055] Batch [0249]/[1880] Speed: 111.483680 samples/sec accuracy=42.106250 loss=2.559675 lr=0.092120 Epoch[055] Batch [0299]/[1880] Speed: 106.796389 samples/sec accuracy=42.013021 loss=2.560195 lr=0.092107 Epoch[055] Batch [0349]/[1880] Speed: 113.973446 samples/sec accuracy=41.941964 loss=2.558868 lr=0.092093 Epoch[055] Batch [0399]/[1880] Speed: 106.319628 samples/sec accuracy=41.835938 loss=2.566985 lr=0.092080 Epoch[055] Batch [0449]/[1880] Speed: 111.569228 samples/sec accuracy=41.684028 loss=2.574127 lr=0.092067 Epoch[055] Batch [0499]/[1880] Speed: 107.196505 samples/sec accuracy=41.621875 loss=2.575308 lr=0.092054 Epoch[055] Batch [0549]/[1880] Speed: 112.520836 samples/sec accuracy=41.538352 loss=2.577988 lr=0.092041 Epoch[055] Batch [0599]/[1880] Speed: 109.820824 samples/sec accuracy=41.401042 loss=2.584111 lr=0.092028 Epoch[055] Batch [0649]/[1880] Speed: 108.105025 samples/sec accuracy=41.387019 loss=2.583415 lr=0.092015 Epoch[055] Batch [0699]/[1880] Speed: 115.065300 samples/sec accuracy=41.303571 loss=2.586572 lr=0.092001 Epoch[055] Batch [0749]/[1880] Speed: 106.310763 samples/sec accuracy=41.304167 loss=2.587778 lr=0.091988 Epoch[055] Batch [0799]/[1880] Speed: 110.887992 samples/sec accuracy=41.307617 loss=2.586831 lr=0.091975 Epoch[055] Batch 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accuracy=41.001803 loss=2.605990 lr=0.091842 Epoch[055] Batch [1349]/[1880] Speed: 111.900470 samples/sec accuracy=41.002894 loss=2.606558 lr=0.091829 Epoch[055] Batch [1399]/[1880] Speed: 106.354811 samples/sec accuracy=40.972098 loss=2.609109 lr=0.091816 Epoch[055] Batch [1449]/[1880] Speed: 112.994169 samples/sec accuracy=40.974138 loss=2.608643 lr=0.091803 Epoch[055] Batch [1499]/[1880] Speed: 107.938635 samples/sec accuracy=40.942187 loss=2.610813 lr=0.091789 Epoch[055] Batch [1549]/[1880] Speed: 111.416532 samples/sec accuracy=40.938508 loss=2.612044 lr=0.091776 Epoch[055] Batch [1599]/[1880] Speed: 109.747267 samples/sec accuracy=40.911621 loss=2.612967 lr=0.091762 Epoch[055] Batch [1649]/[1880] Speed: 112.778028 samples/sec accuracy=40.917614 loss=2.613519 lr=0.091749 Epoch[055] Batch [1699]/[1880] Speed: 109.364558 samples/sec accuracy=40.897518 loss=2.614427 lr=0.091736 Epoch[055] Batch [1749]/[1880] Speed: 106.577427 samples/sec accuracy=40.863839 loss=2.615912 lr=0.091722 Epoch[055] Batch [1799]/[1880] Speed: 115.848119 samples/sec accuracy=40.847656 loss=2.617017 lr=0.091709 Epoch[055] Batch [1849]/[1880] Speed: 102.826451 samples/sec accuracy=40.844172 loss=2.617985 lr=0.091696 Batch [0049]/[0151]: acc-top1=39.046875 acc-top5=64.468750 Batch [0099]/[0151]: acc-top1=42.101562 acc-top5=66.437500 Batch [0149]/[0151]: acc-top1=41.192708 acc-top5=66.687500 [Epoch 055] training: accuracy=40.833610 loss=2.617848 [Epoch 055] speed: 109 samples/sec time cost: 2405.538273 [Epoch 055] validation: acc-top1=41.111341 acc-top5=66.545944 loss=2.652407 Epoch[056] Batch [0049]/[1880] Speed: 76.260238 samples/sec accuracy=40.484375 loss=2.623816 lr=0.091674 Epoch[056] Batch [0099]/[1880] Speed: 114.371869 samples/sec accuracy=41.187500 loss=2.584227 lr=0.091661 Epoch[056] Batch [0149]/[1880] Speed: 103.813760 samples/sec accuracy=41.348958 loss=2.566169 lr=0.091647 Epoch[056] Batch [0199]/[1880] Speed: 114.611302 samples/sec accuracy=41.218750 loss=2.581453 lr=0.091634 Epoch[056] Batch [0249]/[1880] Speed: 109.586076 samples/sec accuracy=41.168750 loss=2.582012 lr=0.091620 Epoch[056] Batch [0299]/[1880] Speed: 109.786506 samples/sec accuracy=41.049479 loss=2.586736 lr=0.091607 Epoch[056] Batch [0349]/[1880] Speed: 112.231282 samples/sec accuracy=41.060268 loss=2.584525 lr=0.091593 Epoch[056] Batch [0399]/[1880] Speed: 109.022896 samples/sec accuracy=41.177734 loss=2.586048 lr=0.091580 Epoch[056] Batch [0449]/[1880] Speed: 109.182630 samples/sec accuracy=41.180556 loss=2.587077 lr=0.091566 Epoch[056] Batch [0499]/[1880] Speed: 109.794254 samples/sec accuracy=41.106250 loss=2.592680 lr=0.091553 Epoch[056] Batch [0549]/[1880] Speed: 106.585711 samples/sec accuracy=41.107955 loss=2.597316 lr=0.091539 Epoch[056] Batch [0599]/[1880] Speed: 114.163077 samples/sec accuracy=41.111979 loss=2.599613 lr=0.091526 Epoch[056] Batch [0649]/[1880] Speed: 103.045996 samples/sec accuracy=41.066106 loss=2.602560 lr=0.091512 Epoch[056] Batch [0699]/[1880] Speed: 114.791729 samples/sec accuracy=41.089286 loss=2.602267 lr=0.091499 Epoch[056] Batch [0749]/[1880] Speed: 107.667593 samples/sec accuracy=41.069792 loss=2.603554 lr=0.091485 Epoch[056] Batch [0799]/[1880] Speed: 109.920459 samples/sec accuracy=41.053711 loss=2.605349 lr=0.091472 Epoch[056] Batch [0849]/[1880] Speed: 111.565513 samples/sec accuracy=41.022978 loss=2.607504 lr=0.091458 Epoch[056] Batch [0899]/[1880] Speed: 107.860154 samples/sec accuracy=41.018229 loss=2.607879 lr=0.091444 Epoch[056] Batch [0949]/[1880] Speed: 110.935580 samples/sec accuracy=41.001645 loss=2.609352 lr=0.091431 Epoch[056] Batch [0999]/[1880] Speed: 109.027471 samples/sec accuracy=41.007031 loss=2.608543 lr=0.091417 Epoch[056] Batch [1049]/[1880] Speed: 110.339776 samples/sec accuracy=40.994048 loss=2.608512 lr=0.091404 Epoch[056] Batch [1099]/[1880] Speed: 111.035100 samples/sec accuracy=40.919034 loss=2.612180 lr=0.091390 Epoch[056] Batch [1149]/[1880] Speed: 109.063621 samples/sec accuracy=40.909647 loss=2.612617 lr=0.091376 Epoch[056] Batch [1199]/[1880] Speed: 108.228465 samples/sec accuracy=40.914062 loss=2.611959 lr=0.091363 Epoch[056] Batch [1249]/[1880] Speed: 112.320150 samples/sec accuracy=40.889375 loss=2.613689 lr=0.091349 Epoch[056] Batch [1299]/[1880] Speed: 109.158491 samples/sec accuracy=40.930288 loss=2.612134 lr=0.091335 Epoch[056] Batch [1349]/[1880] Speed: 111.635084 samples/sec accuracy=40.895255 loss=2.613334 lr=0.091322 Epoch[056] Batch [1399]/[1880] Speed: 107.815358 samples/sec accuracy=40.920759 loss=2.611264 lr=0.091308 Epoch[056] Batch [1449]/[1880] Speed: 108.979006 samples/sec accuracy=40.913793 loss=2.611682 lr=0.091294 Epoch[056] Batch [1499]/[1880] Speed: 110.181884 samples/sec accuracy=40.919792 loss=2.612685 lr=0.091281 Epoch[056] Batch [1549]/[1880] Speed: 112.091026 samples/sec accuracy=40.897177 loss=2.613429 lr=0.091267 Epoch[056] Batch [1599]/[1880] Speed: 105.582982 samples/sec accuracy=40.900391 loss=2.613443 lr=0.091253 Epoch[056] Batch [1649]/[1880] Speed: 114.576319 samples/sec accuracy=40.906723 loss=2.612908 lr=0.091239 Epoch[056] Batch [1699]/[1880] Speed: 113.054549 samples/sec accuracy=40.892463 loss=2.613900 lr=0.091226 Epoch[056] Batch [1749]/[1880] Speed: 103.892304 samples/sec accuracy=40.893750 loss=2.614592 lr=0.091212 Epoch[056] Batch [1799]/[1880] Speed: 110.984610 samples/sec accuracy=40.867188 loss=2.615176 lr=0.091198 Epoch[056] Batch [1849]/[1880] Speed: 111.057686 samples/sec accuracy=40.859375 loss=2.615761 lr=0.091184 Batch [0049]/[0151]: acc-top1=38.953125 acc-top5=64.953125 Batch [0099]/[0151]: acc-top1=42.554688 acc-top5=68.109375 Batch [0149]/[0151]: acc-top1=41.541667 acc-top5=68.177083 [Epoch 056] training: accuracy=40.857297 loss=2.616398 [Epoch 056] speed: 109 samples/sec time cost: 2407.422334 [Epoch 056] validation: acc-top1=41.566639 acc-top5=68.160182 loss=2.600747 Epoch[057] Batch [0049]/[1880] Speed: 75.977948 samples/sec accuracy=42.687500 loss=2.488495 lr=0.091162 Epoch[057] Batch [0099]/[1880] Speed: 114.858707 samples/sec accuracy=41.765625 loss=2.558664 lr=0.091148 Epoch[057] Batch [0149]/[1880] Speed: 106.886741 samples/sec accuracy=41.687500 loss=2.564160 lr=0.091135 Epoch[057] Batch [0199]/[1880] Speed: 113.091238 samples/sec accuracy=41.734375 loss=2.557869 lr=0.091121 Epoch[057] Batch [0249]/[1880] Speed: 104.158796 samples/sec accuracy=42.012500 loss=2.551814 lr=0.091107 Epoch[057] Batch [0299]/[1880] Speed: 118.016227 samples/sec accuracy=41.934896 loss=2.558131 lr=0.091093 Epoch[057] Batch [0349]/[1880] Speed: 105.256592 samples/sec accuracy=41.919643 loss=2.556070 lr=0.091079 Epoch[057] Batch [0399]/[1880] Speed: 111.130588 samples/sec accuracy=41.904297 loss=2.559211 lr=0.091065 Epoch[057] Batch [0449]/[1880] Speed: 114.080966 samples/sec accuracy=41.814236 loss=2.563829 lr=0.091052 Epoch[057] Batch [0499]/[1880] Speed: 102.968039 samples/sec accuracy=41.743750 loss=2.566187 lr=0.091038 Epoch[057] Batch [0549]/[1880] Speed: 116.657082 samples/sec accuracy=41.688920 loss=2.567935 lr=0.091024 Epoch[057] Batch [0599]/[1880] Speed: 103.923992 samples/sec accuracy=41.753906 loss=2.567375 lr=0.091010 Epoch[057] Batch [0649]/[1880] Speed: 109.971307 samples/sec accuracy=41.693510 loss=2.569483 lr=0.090996 Epoch[057] Batch [0699]/[1880] Speed: 110.985970 samples/sec accuracy=41.645089 loss=2.572675 lr=0.090982 Epoch[057] Batch [0749]/[1880] Speed: 110.084207 samples/sec accuracy=41.564583 loss=2.577884 lr=0.090968 Epoch[057] Batch [0799]/[1880] Speed: 112.742625 samples/sec accuracy=41.476562 loss=2.581400 lr=0.090954 Epoch[057] Batch [0849]/[1880] Speed: 104.494720 samples/sec accuracy=41.422794 loss=2.582817 lr=0.090940 Epoch[057] Batch [0899]/[1880] Speed: 114.369025 samples/sec accuracy=41.353299 loss=2.585225 lr=0.090926 Epoch[057] Batch [0949]/[1880] Speed: 106.457513 samples/sec accuracy=41.379934 loss=2.587013 lr=0.090912 Epoch[057] Batch [0999]/[1880] Speed: 112.245763 samples/sec accuracy=41.353906 loss=2.588912 lr=0.090898 Epoch[057] Batch [1049]/[1880] Speed: 106.012740 samples/sec accuracy=41.325893 loss=2.590086 lr=0.090884 Epoch[057] Batch [1099]/[1880] Speed: 109.791958 samples/sec accuracy=41.308239 loss=2.591186 lr=0.090870 Epoch[057] Batch [1149]/[1880] Speed: 111.840231 samples/sec accuracy=41.303668 loss=2.593161 lr=0.090856 Epoch[057] Batch [1199]/[1880] Speed: 112.971306 samples/sec accuracy=41.269531 loss=2.593889 lr=0.090842 Epoch[057] Batch [1249]/[1880] Speed: 107.570986 samples/sec accuracy=41.193750 loss=2.596883 lr=0.090828 Epoch[057] Batch [1299]/[1880] Speed: 111.073123 samples/sec accuracy=41.175481 loss=2.598193 lr=0.090814 Epoch[057] Batch [1349]/[1880] Speed: 109.670045 samples/sec accuracy=41.230324 loss=2.596832 lr=0.090800 Epoch[057] Batch [1399]/[1880] Speed: 109.509431 samples/sec accuracy=41.164621 loss=2.599720 lr=0.090786 Epoch[057] Batch [1449]/[1880] Speed: 111.838407 samples/sec accuracy=41.187500 loss=2.600059 lr=0.090772 Epoch[057] Batch [1499]/[1880] Speed: 102.987272 samples/sec accuracy=41.186458 loss=2.601511 lr=0.090758 Epoch[057] Batch [1549]/[1880] Speed: 112.420062 samples/sec accuracy=41.198589 loss=2.600906 lr=0.090744 Epoch[057] Batch [1599]/[1880] Speed: 107.181266 samples/sec accuracy=41.158691 loss=2.602357 lr=0.090730 Epoch[057] Batch [1649]/[1880] Speed: 114.190437 samples/sec accuracy=41.108902 loss=2.603481 lr=0.090716 Epoch[057] Batch [1699]/[1880] Speed: 105.419155 samples/sec accuracy=41.127298 loss=2.603453 lr=0.090702 Epoch[057] Batch [1749]/[1880] Speed: 112.845672 samples/sec accuracy=41.120536 loss=2.603485 lr=0.090688 Epoch[057] Batch [1799]/[1880] Speed: 111.236014 samples/sec accuracy=41.126302 loss=2.603010 lr=0.090673 Epoch[057] Batch [1849]/[1880] Speed: 107.864101 samples/sec accuracy=41.096706 loss=2.605283 lr=0.090659 Batch [0049]/[0151]: acc-top1=36.906250 acc-top5=62.781250 Batch [0099]/[0151]: acc-top1=40.382812 acc-top5=65.593750 Batch [0149]/[0151]: acc-top1=38.468750 acc-top5=64.770833 [Epoch 057] training: accuracy=41.081699 loss=2.606096 [Epoch 057] speed: 109 samples/sec time cost: 2409.016382 [Epoch 057] validation: acc-top1=38.441639 acc-top5=64.693709 loss=2.831323 Epoch[058] Batch [0049]/[1879] Speed: 76.527048 samples/sec accuracy=43.546875 loss=2.516923 lr=0.090637 Epoch[058] Batch [0099]/[1879] Speed: 112.168640 samples/sec accuracy=42.093750 loss=2.560897 lr=0.090623 Epoch[058] Batch [0149]/[1879] Speed: 108.425872 samples/sec accuracy=41.942708 loss=2.564771 lr=0.090608 Epoch[058] Batch [0199]/[1879] Speed: 105.699772 samples/sec accuracy=42.062500 loss=2.557539 lr=0.090594 Epoch[058] Batch [0249]/[1879] Speed: 112.884129 samples/sec accuracy=41.787500 loss=2.572435 lr=0.090580 Epoch[058] Batch [0299]/[1879] Speed: 107.899369 samples/sec accuracy=41.575521 loss=2.583377 lr=0.090566 Epoch[058] Batch [0349]/[1879] Speed: 113.341647 samples/sec accuracy=41.535714 loss=2.582704 lr=0.090552 Epoch[058] Batch [0399]/[1879] Speed: 106.733210 samples/sec accuracy=41.541016 loss=2.581749 lr=0.090537 Epoch[058] Batch [0449]/[1879] Speed: 109.274407 samples/sec accuracy=41.553819 loss=2.583367 lr=0.090523 Epoch[058] Batch [0499]/[1879] Speed: 108.992948 samples/sec accuracy=41.495312 loss=2.586573 lr=0.090509 Epoch[058] Batch [0549]/[1879] Speed: 111.700969 samples/sec accuracy=41.500000 loss=2.587450 lr=0.090495 Epoch[058] Batch [0599]/[1879] Speed: 113.070911 samples/sec accuracy=41.389323 loss=2.591874 lr=0.090480 Epoch[058] Batch [0649]/[1879] Speed: 104.758969 samples/sec accuracy=41.330529 loss=2.592234 lr=0.090466 Epoch[058] Batch [0699]/[1879] Speed: 111.380580 samples/sec accuracy=41.337054 loss=2.592169 lr=0.090452 Epoch[058] Batch [0749]/[1879] Speed: 110.096669 samples/sec accuracy=41.287500 loss=2.595361 lr=0.090438 Epoch[058] Batch [0799]/[1879] Speed: 107.410994 samples/sec accuracy=41.210938 loss=2.597749 lr=0.090423 Epoch[058] Batch [0849]/[1879] Speed: 110.810421 samples/sec accuracy=41.190257 loss=2.600099 lr=0.090409 Epoch[058] Batch 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accuracy=41.196759 loss=2.598589 lr=0.090265 Epoch[058] Batch [1399]/[1879] Speed: 106.457004 samples/sec accuracy=41.180246 loss=2.599411 lr=0.090251 Epoch[058] Batch [1449]/[1879] Speed: 112.869171 samples/sec accuracy=41.191810 loss=2.598550 lr=0.090236 Epoch[058] Batch [1499]/[1879] Speed: 103.879380 samples/sec accuracy=41.172396 loss=2.599583 lr=0.090222 Epoch[058] Batch [1549]/[1879] Speed: 115.383685 samples/sec accuracy=41.214718 loss=2.598007 lr=0.090208 Epoch[058] Batch [1599]/[1879] Speed: 105.090403 samples/sec accuracy=41.229004 loss=2.597645 lr=0.090193 Epoch[058] Batch [1649]/[1879] Speed: 112.581771 samples/sec accuracy=41.206913 loss=2.598138 lr=0.090179 Epoch[058] Batch [1699]/[1879] Speed: 114.330426 samples/sec accuracy=41.217371 loss=2.597342 lr=0.090164 Epoch[058] Batch [1749]/[1879] Speed: 106.004243 samples/sec accuracy=41.199107 loss=2.598375 lr=0.090150 Epoch[058] Batch [1799]/[1879] Speed: 110.835039 samples/sec accuracy=41.169705 loss=2.598979 lr=0.090135 Epoch[058] Batch [1849]/[1879] Speed: 109.861083 samples/sec accuracy=41.160473 loss=2.599565 lr=0.090121 Batch [0049]/[0151]: acc-top1=34.718750 acc-top5=60.687500 Batch [0099]/[0151]: acc-top1=39.984375 acc-top5=65.078125 Batch [0149]/[0151]: acc-top1=38.401042 acc-top5=64.723958 [Epoch 058] training: accuracy=41.156366 loss=2.599727 [Epoch 058] speed: 108 samples/sec time cost: 2406.872147 [Epoch 058] validation: acc-top1=38.358858 acc-top5=64.673013 loss=2.804143 Epoch[059] Batch [0049]/[1880] Speed: 74.949086 samples/sec accuracy=41.906250 loss=2.578302 lr=0.090098 Epoch[059] Batch [0099]/[1880] Speed: 119.070068 samples/sec accuracy=42.187500 loss=2.580829 lr=0.090083 Epoch[059] Batch [0149]/[1880] Speed: 106.739448 samples/sec accuracy=41.901042 loss=2.575379 lr=0.090069 Epoch[059] Batch [0199]/[1880] Speed: 107.617543 samples/sec accuracy=41.820312 loss=2.577071 lr=0.090054 Epoch[059] Batch [0249]/[1880] Speed: 110.787889 samples/sec accuracy=41.625000 loss=2.583411 lr=0.090040 Epoch[059] Batch [0299]/[1880] Speed: 106.045210 samples/sec accuracy=41.718750 loss=2.574668 lr=0.090025 Epoch[059] Batch [0349]/[1880] Speed: 115.292782 samples/sec accuracy=41.821429 loss=2.572275 lr=0.090011 Epoch[059] Batch [0399]/[1880] Speed: 107.466802 samples/sec accuracy=41.751953 loss=2.578386 lr=0.089996 Epoch[059] Batch [0449]/[1880] Speed: 106.663930 samples/sec accuracy=41.744792 loss=2.570681 lr=0.089981 Epoch[059] Batch [0499]/[1880] Speed: 110.385391 samples/sec accuracy=41.681250 loss=2.574503 lr=0.089967 Epoch[059] Batch [0549]/[1880] Speed: 111.491581 samples/sec accuracy=41.613636 loss=2.576290 lr=0.089952 Epoch[059] Batch [0599]/[1880] Speed: 109.976509 samples/sec accuracy=41.601562 loss=2.579119 lr=0.089938 Epoch[059] Batch [0649]/[1880] Speed: 108.054404 samples/sec accuracy=41.550481 loss=2.581168 lr=0.089923 Epoch[059] Batch [0699]/[1880] Speed: 109.196097 samples/sec accuracy=41.507812 loss=2.582740 lr=0.089908 Epoch[059] Batch [0749]/[1880] Speed: 108.050438 samples/sec accuracy=41.579167 loss=2.580890 lr=0.089894 Epoch[059] Batch [0799]/[1880] Speed: 111.004682 samples/sec accuracy=41.573242 loss=2.582294 lr=0.089879 Epoch[059] Batch [0849]/[1880] Speed: 111.962805 samples/sec accuracy=41.550551 loss=2.582583 lr=0.089864 Epoch[059] Batch [0899]/[1880] Speed: 109.872505 samples/sec accuracy=41.558160 loss=2.583152 lr=0.089850 Epoch[059] Batch [0949]/[1880] Speed: 106.470921 samples/sec accuracy=41.534539 loss=2.582779 lr=0.089835 Epoch[059] Batch [0999]/[1880] Speed: 114.748809 samples/sec accuracy=41.567969 loss=2.582216 lr=0.089820 Epoch[059] Batch [1049]/[1880] Speed: 104.485755 samples/sec accuracy=41.583333 loss=2.582099 lr=0.089806 Epoch[059] Batch [1099]/[1880] Speed: 112.362307 samples/sec accuracy=41.590199 loss=2.582028 lr=0.089791 Epoch[059] Batch [1149]/[1880] Speed: 110.473872 samples/sec accuracy=41.594429 loss=2.581660 lr=0.089776 Epoch[059] Batch [1199]/[1880] Speed: 105.030405 samples/sec accuracy=41.595052 loss=2.581818 lr=0.089761 Epoch[059] Batch [1249]/[1880] Speed: 115.703173 samples/sec accuracy=41.580625 loss=2.582352 lr=0.089747 Epoch[059] Batch [1299]/[1880] Speed: 104.698313 samples/sec accuracy=41.531250 loss=2.584328 lr=0.089732 Epoch[059] Batch [1349]/[1880] Speed: 113.470937 samples/sec accuracy=41.527778 loss=2.584135 lr=0.089717 Epoch[059] Batch [1399]/[1880] Speed: 106.644713 samples/sec accuracy=41.513393 loss=2.585994 lr=0.089702 Epoch[059] Batch [1449]/[1880] Speed: 110.903668 samples/sec accuracy=41.476293 loss=2.587835 lr=0.089688 Epoch[059] Batch [1499]/[1880] Speed: 107.724064 samples/sec accuracy=41.457813 loss=2.587278 lr=0.089673 Epoch[059] Batch [1549]/[1880] Speed: 108.927989 samples/sec accuracy=41.440020 loss=2.587276 lr=0.089658 Epoch[059] Batch [1599]/[1880] Speed: 116.740239 samples/sec accuracy=41.454590 loss=2.587132 lr=0.089643 Epoch[059] Batch [1649]/[1880] Speed: 103.613084 samples/sec accuracy=41.452178 loss=2.587760 lr=0.089628 Epoch[059] Batch [1699]/[1880] Speed: 115.362461 samples/sec accuracy=41.418199 loss=2.588896 lr=0.089614 Epoch[059] Batch [1749]/[1880] Speed: 102.312748 samples/sec accuracy=41.420089 loss=2.589755 lr=0.089599 Epoch[059] Batch [1799]/[1880] Speed: 117.724205 samples/sec accuracy=41.417101 loss=2.591224 lr=0.089584 Epoch[059] Batch [1849]/[1880] Speed: 110.062374 samples/sec accuracy=41.448480 loss=2.589386 lr=0.089569 Batch [0049]/[0151]: acc-top1=38.359375 acc-top5=64.156250 Batch [0099]/[0151]: acc-top1=42.140625 acc-top5=66.703125 Batch [0149]/[0151]: acc-top1=40.921875 acc-top5=66.317708 [Epoch 059] training: accuracy=41.441157 loss=2.589401 [Epoch 059] speed: 108 samples/sec time cost: 2408.804763 [Epoch 059] validation: acc-top1=40.862997 acc-top5=66.297599 loss=2.661178 Epoch[060] Batch [0049]/[1880] Speed: 77.661714 samples/sec accuracy=41.984375 loss=2.569424 lr=0.089545 Epoch[060] Batch [0099]/[1880] Speed: 113.394342 samples/sec accuracy=41.664062 loss=2.563590 lr=0.089530 Epoch[060] Batch [0149]/[1880] Speed: 108.096718 samples/sec accuracy=41.484375 loss=2.571630 lr=0.089516 Epoch[060] Batch [0199]/[1880] Speed: 109.175930 samples/sec accuracy=41.710938 loss=2.557646 lr=0.089501 Epoch[060] Batch [0249]/[1880] Speed: 110.759763 samples/sec accuracy=41.871875 loss=2.552875 lr=0.089486 Epoch[060] Batch [0299]/[1880] Speed: 107.866521 samples/sec accuracy=41.776042 loss=2.553555 lr=0.089471 Epoch[060] Batch [0349]/[1880] Speed: 110.540719 samples/sec accuracy=41.685268 loss=2.560030 lr=0.089456 Epoch[060] Batch [0399]/[1880] Speed: 109.189151 samples/sec accuracy=41.566406 loss=2.564414 lr=0.089441 Epoch[060] Batch [0449]/[1880] Speed: 112.743443 samples/sec accuracy=41.526042 loss=2.567472 lr=0.089426 Epoch[060] Batch [0499]/[1880] Speed: 106.296189 samples/sec accuracy=41.509375 loss=2.571764 lr=0.089411 Epoch[060] Batch [0549]/[1880] Speed: 111.555439 samples/sec accuracy=41.501420 loss=2.574404 lr=0.089396 Epoch[060] Batch [0599]/[1880] Speed: 108.700301 samples/sec accuracy=41.466146 loss=2.574987 lr=0.089381 Epoch[060] Batch [0649]/[1880] Speed: 112.622034 samples/sec accuracy=41.350962 loss=2.576981 lr=0.089366 Epoch[060] Batch [0699]/[1880] Speed: 114.241557 samples/sec accuracy=41.386161 loss=2.575429 lr=0.089351 Epoch[060] Batch [0749]/[1880] Speed: 106.699653 samples/sec accuracy=41.395833 loss=2.576216 lr=0.089336 Epoch[060] Batch [0799]/[1880] Speed: 111.483373 samples/sec accuracy=41.349609 loss=2.579456 lr=0.089321 Epoch[060] Batch [0849]/[1880] Speed: 106.867121 samples/sec accuracy=41.407169 loss=2.578343 lr=0.089306 Epoch[060] Batch [0899]/[1880] Speed: 110.229613 samples/sec accuracy=41.397569 loss=2.579585 lr=0.089291 Epoch[060] Batch [0949]/[1880] Speed: 112.065018 samples/sec accuracy=41.426809 loss=2.578481 lr=0.089276 Epoch[060] Batch [0999]/[1880] Speed: 105.366380 samples/sec accuracy=41.385156 loss=2.580262 lr=0.089261 Epoch[060] Batch [1049]/[1880] Speed: 111.480758 samples/sec accuracy=41.365327 loss=2.580140 lr=0.089246 Epoch[060] Batch [1099]/[1880] Speed: 113.578927 samples/sec accuracy=41.387784 loss=2.580918 lr=0.089231 Epoch[060] Batch [1149]/[1880] Speed: 105.280338 samples/sec accuracy=41.353261 loss=2.582038 lr=0.089216 Epoch[060] Batch [1199]/[1880] Speed: 110.605502 samples/sec accuracy=41.392578 loss=2.583215 lr=0.089201 Epoch[060] Batch [1249]/[1880] Speed: 107.470437 samples/sec accuracy=41.428125 loss=2.582145 lr=0.089186 Epoch[060] Batch [1299]/[1880] Speed: 109.852207 samples/sec accuracy=41.423678 loss=2.582350 lr=0.089171 Epoch[060] Batch [1349]/[1880] Speed: 114.595462 samples/sec accuracy=41.447917 loss=2.581535 lr=0.089156 Epoch[060] Batch [1399]/[1880] Speed: 106.111954 samples/sec accuracy=41.445312 loss=2.582230 lr=0.089140 Epoch[060] Batch [1449]/[1880] Speed: 109.949161 samples/sec accuracy=41.422953 loss=2.583893 lr=0.089125 Epoch[060] Batch [1499]/[1880] Speed: 113.508485 samples/sec accuracy=41.406250 loss=2.584449 lr=0.089110 Epoch[060] Batch [1549]/[1880] Speed: 107.574213 samples/sec accuracy=41.408266 loss=2.584945 lr=0.089095 Epoch[060] Batch [1599]/[1880] Speed: 111.508621 samples/sec accuracy=41.394043 loss=2.585748 lr=0.089080 Epoch[060] Batch [1649]/[1880] Speed: 105.676081 samples/sec accuracy=41.376420 loss=2.585958 lr=0.089065 Epoch[060] Batch [1699]/[1880] Speed: 109.257474 samples/sec accuracy=41.374540 loss=2.586460 lr=0.089050 Epoch[060] Batch [1749]/[1880] Speed: 110.409518 samples/sec accuracy=41.386607 loss=2.585441 lr=0.089034 Epoch[060] Batch [1799]/[1880] Speed: 105.437956 samples/sec accuracy=41.384983 loss=2.585086 lr=0.089019 Epoch[060] Batch [1849]/[1880] Speed: 114.129367 samples/sec accuracy=41.383024 loss=2.585707 lr=0.089004 Batch [0049]/[0151]: acc-top1=38.625000 acc-top5=65.250000 Batch [0099]/[0151]: acc-top1=42.593750 acc-top5=67.281250 Batch [0149]/[0151]: acc-top1=41.223958 acc-top5=66.822917 [Epoch 060] training: accuracy=41.375499 loss=2.586108 [Epoch 060] speed: 109 samples/sec time cost: 2404.966845 [Epoch 060] validation: acc-top1=41.173427 acc-top5=66.773593 loss=2.635245 Epoch[061] Batch [0049]/[1880] Speed: 77.050395 samples/sec accuracy=41.359375 loss=2.564908 lr=0.088980 Epoch[061] Batch [0099]/[1880] Speed: 110.755323 samples/sec accuracy=41.640625 loss=2.564204 lr=0.088964 Epoch[061] Batch [0149]/[1880] Speed: 112.710875 samples/sec accuracy=41.869792 loss=2.569270 lr=0.088949 Epoch[061] Batch [0199]/[1880] Speed: 110.085848 samples/sec accuracy=42.035156 loss=2.567723 lr=0.088934 Epoch[061] Batch [0249]/[1880] Speed: 107.191087 samples/sec accuracy=42.121875 loss=2.563527 lr=0.088919 Epoch[061] Batch [0299]/[1880] Speed: 110.702846 samples/sec accuracy=42.031250 loss=2.559937 lr=0.088903 Epoch[061] Batch [0349]/[1880] Speed: 106.083384 samples/sec accuracy=41.863839 loss=2.565728 lr=0.088888 Epoch[061] Batch [0399]/[1880] Speed: 116.676378 samples/sec accuracy=41.806641 loss=2.568587 lr=0.088873 Epoch[061] Batch [0449]/[1880] Speed: 103.726098 samples/sec accuracy=41.795139 loss=2.565354 lr=0.088858 Epoch[061] Batch [0499]/[1880] Speed: 110.898944 samples/sec accuracy=41.790625 loss=2.566333 lr=0.088842 Epoch[061] Batch [0549]/[1880] Speed: 110.753217 samples/sec accuracy=41.723011 loss=2.567967 lr=0.088827 Epoch[061] Batch [0599]/[1880] Speed: 108.485485 samples/sec accuracy=41.707031 loss=2.566863 lr=0.088812 Epoch[061] Batch [0649]/[1880] Speed: 110.186440 samples/sec accuracy=41.622596 loss=2.571511 lr=0.088796 Epoch[061] Batch [0699]/[1880] Speed: 114.976470 samples/sec accuracy=41.661830 loss=2.569770 lr=0.088781 Epoch[061] Batch [0749]/[1880] Speed: 106.178990 samples/sec accuracy=41.738542 loss=2.568372 lr=0.088766 Epoch[061] Batch [0799]/[1880] Speed: 109.348145 samples/sec accuracy=41.709961 loss=2.570061 lr=0.088750 Epoch[061] Batch [0849]/[1880] Speed: 110.504482 samples/sec accuracy=41.674632 loss=2.572109 lr=0.088735 Epoch[061] Batch [0899]/[1880] Speed: 105.335165 samples/sec accuracy=41.665799 loss=2.571919 lr=0.088720 Epoch[061] Batch 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accuracy=41.629464 loss=2.580716 lr=0.088565 Epoch[061] Batch [1449]/[1880] Speed: 106.517035 samples/sec accuracy=41.612608 loss=2.581736 lr=0.088550 Epoch[061] Batch [1499]/[1880] Speed: 109.901152 samples/sec accuracy=41.616667 loss=2.582333 lr=0.088534 Epoch[061] Batch [1549]/[1880] Speed: 111.713434 samples/sec accuracy=41.603327 loss=2.582310 lr=0.088519 Epoch[061] Batch [1599]/[1880] Speed: 108.407740 samples/sec accuracy=41.621094 loss=2.581484 lr=0.088503 Epoch[061] Batch [1649]/[1880] Speed: 109.070509 samples/sec accuracy=41.581913 loss=2.582704 lr=0.088488 Epoch[061] Batch [1699]/[1880] Speed: 107.314198 samples/sec accuracy=41.566636 loss=2.583095 lr=0.088472 Epoch[061] Batch [1749]/[1880] Speed: 110.671510 samples/sec accuracy=41.518304 loss=2.584155 lr=0.088457 Epoch[061] Batch [1799]/[1880] Speed: 111.690291 samples/sec accuracy=41.540799 loss=2.584167 lr=0.088441 Epoch[061] Batch [1849]/[1880] Speed: 108.933412 samples/sec accuracy=41.554899 loss=2.584505 lr=0.088426 Batch [0049]/[0151]: acc-top1=39.562500 acc-top5=64.718750 Batch [0099]/[0151]: acc-top1=42.515625 acc-top5=67.664062 Batch [0149]/[0151]: acc-top1=40.734375 acc-top5=67.083333 [Epoch 061] training: accuracy=41.573720 loss=2.583716 [Epoch 061] speed: 109 samples/sec time cost: 2404.585362 [Epoch 061] validation: acc-top1=40.666391 acc-top5=67.037459 loss=2.660251 Epoch[062] Batch [0049]/[1880] Speed: 78.031925 samples/sec accuracy=42.250000 loss=2.546661 lr=0.088401 Epoch[062] Batch [0099]/[1880] Speed: 113.486262 samples/sec accuracy=42.328125 loss=2.521067 lr=0.088385 Epoch[062] Batch [0149]/[1880] Speed: 106.782834 samples/sec accuracy=42.239583 loss=2.527410 lr=0.088370 Epoch[062] Batch [0199]/[1880] Speed: 106.829666 samples/sec accuracy=42.335938 loss=2.523597 lr=0.088354 Epoch[062] Batch [0249]/[1880] Speed: 114.410271 samples/sec accuracy=42.203125 loss=2.527566 lr=0.088339 Epoch[062] Batch [0299]/[1880] Speed: 108.491924 samples/sec accuracy=42.184896 loss=2.531246 lr=0.088323 Epoch[062] Batch [0349]/[1880] Speed: 109.820889 samples/sec accuracy=41.979911 loss=2.535367 lr=0.088307 Epoch[062] Batch [0399]/[1880] Speed: 116.222169 samples/sec accuracy=42.044922 loss=2.534615 lr=0.088292 Epoch[062] Batch [0449]/[1880] Speed: 102.625081 samples/sec accuracy=42.111111 loss=2.536218 lr=0.088276 Epoch[062] Batch [0499]/[1880] Speed: 114.605186 samples/sec accuracy=42.051563 loss=2.539863 lr=0.088260 Epoch[062] Batch [0549]/[1880] Speed: 104.707402 samples/sec accuracy=41.978693 loss=2.543405 lr=0.088245 Epoch[062] Batch [0599]/[1880] Speed: 112.091593 samples/sec accuracy=41.925781 loss=2.545957 lr=0.088229 Epoch[062] Batch [0649]/[1880] Speed: 111.569621 samples/sec accuracy=41.870192 loss=2.552827 lr=0.088213 Epoch[062] Batch [0699]/[1880] Speed: 110.814750 samples/sec accuracy=41.868304 loss=2.555389 lr=0.088198 Epoch[062] Batch [0749]/[1880] Speed: 106.106541 samples/sec accuracy=41.795833 loss=2.558251 lr=0.088182 Epoch[062] Batch [0799]/[1880] Speed: 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loss=2.563972 lr=0.088025 Epoch[062] Batch [1299]/[1880] Speed: 113.896394 samples/sec accuracy=41.744591 loss=2.566480 lr=0.088009 Epoch[062] Batch [1349]/[1880] Speed: 108.836000 samples/sec accuracy=41.763889 loss=2.567787 lr=0.087993 Epoch[062] Batch [1399]/[1880] Speed: 107.792722 samples/sec accuracy=41.763393 loss=2.567694 lr=0.087977 Epoch[062] Batch [1449]/[1880] Speed: 109.310244 samples/sec accuracy=41.758621 loss=2.568402 lr=0.087962 Epoch[062] Batch [1499]/[1880] Speed: 105.217575 samples/sec accuracy=41.774479 loss=2.568435 lr=0.087946 Epoch[062] Batch [1549]/[1880] Speed: 110.704277 samples/sec accuracy=41.751008 loss=2.569666 lr=0.087930 Epoch[062] Batch [1599]/[1880] Speed: 111.575427 samples/sec accuracy=41.717773 loss=2.571613 lr=0.087914 Epoch[062] Batch [1649]/[1880] Speed: 107.311174 samples/sec accuracy=41.683239 loss=2.573635 lr=0.087898 Epoch[062] Batch [1699]/[1880] Speed: 116.567687 samples/sec accuracy=41.700827 loss=2.573251 lr=0.087882 Epoch[062] Batch [1749]/[1880] Speed: 112.867447 samples/sec accuracy=41.692411 loss=2.573404 lr=0.087866 Epoch[062] Batch [1799]/[1880] Speed: 103.750125 samples/sec accuracy=41.696181 loss=2.574092 lr=0.087851 Epoch[062] Batch [1849]/[1880] Speed: 117.001077 samples/sec accuracy=41.659628 loss=2.575373 lr=0.087835 Batch [0049]/[0151]: acc-top1=38.078125 acc-top5=64.031250 Batch [0099]/[0151]: acc-top1=41.515625 acc-top5=66.734375 Batch [0149]/[0151]: acc-top1=40.453125 acc-top5=66.739583 [Epoch 062] training: accuracy=41.665559 loss=2.575085 [Epoch 062] speed: 109 samples/sec time cost: 2402.778605 [Epoch 062] validation: acc-top1=40.459437 acc-top5=66.773593 loss=2.657564 Epoch[063] Batch [0049]/[1880] Speed: 76.509519 samples/sec accuracy=41.484375 loss=2.546601 lr=0.087809 Epoch[063] Batch [0099]/[1880] Speed: 113.152710 samples/sec accuracy=41.828125 loss=2.531028 lr=0.087793 Epoch[063] Batch [0149]/[1880] Speed: 105.414499 samples/sec accuracy=42.026042 loss=2.536955 lr=0.087777 Epoch[063] Batch 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accuracy=41.858173 loss=2.554597 lr=0.087618 Epoch[063] Batch [0699]/[1880] Speed: 115.598457 samples/sec accuracy=41.844866 loss=2.557215 lr=0.087602 Epoch[063] Batch [0749]/[1880] Speed: 102.720587 samples/sec accuracy=41.856250 loss=2.557069 lr=0.087586 Epoch[063] Batch [0799]/[1880] Speed: 115.014511 samples/sec accuracy=41.805664 loss=2.559150 lr=0.087570 Epoch[063] Batch [0849]/[1880] Speed: 106.936894 samples/sec accuracy=41.721507 loss=2.562287 lr=0.087554 Epoch[063] Batch [0899]/[1880] Speed: 112.420153 samples/sec accuracy=41.726562 loss=2.564201 lr=0.087538 Epoch[063] Batch [0949]/[1880] Speed: 109.480206 samples/sec accuracy=41.706414 loss=2.564384 lr=0.087522 Epoch[063] Batch [0999]/[1880] Speed: 106.745084 samples/sec accuracy=41.682812 loss=2.565738 lr=0.087506 Epoch[063] Batch [1049]/[1880] Speed: 113.219766 samples/sec accuracy=41.639881 loss=2.567799 lr=0.087489 Epoch[063] Batch [1099]/[1880] Speed: 106.585230 samples/sec accuracy=41.687500 loss=2.567663 lr=0.087473 Epoch[063] Batch [1149]/[1880] Speed: 114.603107 samples/sec accuracy=41.680027 loss=2.567814 lr=0.087457 Epoch[063] Batch [1199]/[1880] Speed: 102.171843 samples/sec accuracy=41.669271 loss=2.567753 lr=0.087441 Epoch[063] Batch [1249]/[1880] Speed: 115.799926 samples/sec accuracy=41.682500 loss=2.567354 lr=0.087425 Epoch[063] Batch [1299]/[1880] Speed: 109.217242 samples/sec accuracy=41.701923 loss=2.567010 lr=0.087409 Epoch[063] Batch [1349]/[1880] Speed: 106.837765 samples/sec accuracy=41.700231 loss=2.568232 lr=0.087393 Epoch[063] Batch [1399]/[1880] Speed: 116.882196 samples/sec accuracy=41.734933 loss=2.567805 lr=0.087377 Epoch[063] Batch [1449]/[1880] Speed: 100.263067 samples/sec accuracy=41.735453 loss=2.568730 lr=0.087361 Epoch[063] Batch [1499]/[1880] Speed: 117.329338 samples/sec accuracy=41.719271 loss=2.569014 lr=0.087344 Epoch[063] Batch [1549]/[1880] Speed: 104.192004 samples/sec accuracy=41.716230 loss=2.569730 lr=0.087328 Epoch[063] Batch [1599]/[1880] Speed: 115.454650 samples/sec accuracy=41.696777 loss=2.570260 lr=0.087312 Epoch[063] Batch [1649]/[1880] Speed: 106.213456 samples/sec accuracy=41.679924 loss=2.570718 lr=0.087296 Epoch[063] Batch [1699]/[1880] Speed: 112.158076 samples/sec accuracy=41.704044 loss=2.570630 lr=0.087280 Epoch[063] Batch [1749]/[1880] Speed: 111.653435 samples/sec accuracy=41.708036 loss=2.570441 lr=0.087263 Epoch[063] Batch [1799]/[1880] Speed: 107.919895 samples/sec accuracy=41.690104 loss=2.570926 lr=0.087247 Epoch[063] Batch [1849]/[1880] Speed: 109.906447 samples/sec accuracy=41.712838 loss=2.570479 lr=0.087231 Batch [0049]/[0151]: acc-top1=40.062500 acc-top5=66.234375 Batch [0099]/[0151]: acc-top1=43.179688 acc-top5=67.609375 Batch [0149]/[0151]: acc-top1=41.541667 acc-top5=67.338542 [Epoch 063] training: accuracy=41.729139 loss=2.570377 [Epoch 063] speed: 108 samples/sec time cost: 2404.928552 [Epoch 063] validation: acc-top1=41.535596 acc-top5=67.316846 loss=2.639598 Epoch[064] Batch [0049]/[1879] Speed: 77.181548 samples/sec accuracy=42.437500 loss=2.539348 lr=0.087205 Epoch[064] Batch [0099]/[1879] Speed: 112.015016 samples/sec accuracy=42.960938 loss=2.523697 lr=0.087189 Epoch[064] Batch [0149]/[1879] Speed: 108.101423 samples/sec accuracy=42.958333 loss=2.517890 lr=0.087173 Epoch[064] Batch [0199]/[1879] Speed: 107.100041 samples/sec accuracy=42.914062 loss=2.514439 lr=0.087156 Epoch[064] Batch [0249]/[1879] Speed: 109.424282 samples/sec accuracy=42.750000 loss=2.522737 lr=0.087140 Epoch[064] Batch [0299]/[1879] Speed: 107.259395 samples/sec accuracy=42.768229 loss=2.524361 lr=0.087124 Epoch[064] Batch [0349]/[1879] Speed: 114.625190 samples/sec accuracy=42.709821 loss=2.529189 lr=0.087108 Epoch[064] Batch [0399]/[1879] Speed: 107.440164 samples/sec accuracy=42.826172 loss=2.525182 lr=0.087091 Epoch[064] Batch [0449]/[1879] Speed: 110.576313 samples/sec accuracy=42.647569 loss=2.530707 lr=0.087075 Epoch[064] Batch [0499]/[1879] Speed: 110.591260 samples/sec accuracy=42.560938 loss=2.535478 lr=0.087059 Epoch[064] Batch [0549]/[1879] Speed: 109.061279 samples/sec accuracy=42.440341 loss=2.537456 lr=0.087042 Epoch[064] Batch [0599]/[1879] Speed: 112.458933 samples/sec accuracy=42.367188 loss=2.540575 lr=0.087026 Epoch[064] Batch [0649]/[1879] Speed: 104.204205 samples/sec accuracy=42.329327 loss=2.540209 lr=0.087010 Epoch[064] Batch [0699]/[1879] Speed: 115.746249 samples/sec accuracy=42.273438 loss=2.542494 lr=0.086993 Epoch[064] Batch [0749]/[1879] Speed: 109.376521 samples/sec accuracy=42.232292 loss=2.543948 lr=0.086977 Epoch[064] Batch [0799]/[1879] Speed: 107.938931 samples/sec accuracy=42.192383 loss=2.545188 lr=0.086961 Epoch[064] Batch [0849]/[1879] Speed: 112.773819 samples/sec accuracy=42.186581 loss=2.547292 lr=0.086944 Epoch[064] Batch [0899]/[1879] Speed: 106.342462 samples/sec accuracy=42.154514 loss=2.548349 lr=0.086928 Epoch[064] Batch [0949]/[1879] Speed: 115.268466 samples/sec accuracy=42.159539 loss=2.548507 lr=0.086911 Epoch[064] Batch [0999]/[1879] Speed: 103.191541 samples/sec accuracy=42.160938 loss=2.549258 lr=0.086895 Epoch[064] Batch [1049]/[1879] Speed: 115.484433 samples/sec accuracy=42.168155 loss=2.550535 lr=0.086879 Epoch[064] Batch [1099]/[1879] Speed: 106.606048 samples/sec accuracy=42.117188 loss=2.552900 lr=0.086862 Epoch[064] Batch [1149]/[1879] Speed: 112.726273 samples/sec accuracy=42.083560 loss=2.554541 lr=0.086846 Epoch[064] Batch [1199]/[1879] Speed: 110.878047 samples/sec accuracy=42.070964 loss=2.555743 lr=0.086829 Epoch[064] Batch [1249]/[1879] Speed: 104.790464 samples/sec accuracy=42.045000 loss=2.555424 lr=0.086813 Epoch[064] Batch [1299]/[1879] Speed: 115.750584 samples/sec accuracy=42.006010 loss=2.556802 lr=0.086796 Epoch[064] Batch [1349]/[1879] Speed: 103.645498 samples/sec accuracy=42.004630 loss=2.557438 lr=0.086780 Epoch[064] Batch [1399]/[1879] Speed: 114.525461 samples/sec accuracy=41.995536 loss=2.556993 lr=0.086764 Epoch[064] Batch [1449]/[1879] Speed: 110.033950 samples/sec accuracy=41.957974 loss=2.558289 lr=0.086747 Epoch[064] Batch [1499]/[1879] Speed: 106.480820 samples/sec accuracy=41.957813 loss=2.558512 lr=0.086731 Epoch[064] Batch [1549]/[1879] Speed: 112.854458 samples/sec accuracy=41.964718 loss=2.557988 lr=0.086714 Epoch[064] Batch [1599]/[1879] Speed: 105.550365 samples/sec accuracy=41.978027 loss=2.557256 lr=0.086698 Epoch[064] Batch [1649]/[1879] Speed: 112.915761 samples/sec accuracy=41.903883 loss=2.560420 lr=0.086681 Epoch[064] Batch [1699]/[1879] Speed: 106.887463 samples/sec accuracy=41.909007 loss=2.559299 lr=0.086665 Epoch[064] Batch [1749]/[1879] Speed: 113.541592 samples/sec accuracy=41.868304 loss=2.561066 lr=0.086648 Epoch[064] Batch [1799]/[1879] Speed: 105.077594 samples/sec accuracy=41.868924 loss=2.561876 lr=0.086632 Epoch[064] Batch [1849]/[1879] Speed: 112.265392 samples/sec accuracy=41.892736 loss=2.561950 lr=0.086615 Batch [0049]/[0151]: acc-top1=39.468750 acc-top5=66.031250 Batch [0099]/[0151]: acc-top1=43.117188 acc-top5=67.984375 Batch [0149]/[0151]: acc-top1=41.781250 acc-top5=67.437500 [Epoch 064] training: accuracy=41.866934 loss=2.562937 [Epoch 064] speed: 109 samples/sec time cost: 2401.719894 [Epoch 064] validation: acc-top1=41.809810 acc-top5=67.472061 loss=2.632491 Epoch[065] Batch [0049]/[1880] Speed: 75.160501 samples/sec accuracy=43.312500 loss=2.505586 lr=0.086589 Epoch[065] Batch [0099]/[1880] Speed: 113.273632 samples/sec accuracy=43.414062 loss=2.505394 lr=0.086572 Epoch[065] Batch [0149]/[1880] Speed: 108.584308 samples/sec accuracy=42.984375 loss=2.519410 lr=0.086556 Epoch[065] Batch [0199]/[1880] Speed: 107.080777 samples/sec accuracy=42.742188 loss=2.521373 lr=0.086539 Epoch[065] Batch [0249]/[1880] Speed: 116.670462 samples/sec accuracy=42.334375 loss=2.539898 lr=0.086523 Epoch[065] Batch [0299]/[1880] Speed: 105.403068 samples/sec accuracy=42.236979 loss=2.542424 lr=0.086506 Epoch[065] Batch [0349]/[1880] Speed: 109.936199 samples/sec accuracy=42.241071 loss=2.541377 lr=0.086489 Epoch[065] Batch [0399]/[1880] Speed: 109.545546 samples/sec accuracy=42.166016 loss=2.544551 lr=0.086473 Epoch[065] Batch [0449]/[1880] Speed: 108.392330 samples/sec accuracy=42.222222 loss=2.542820 lr=0.086456 Epoch[065] Batch [0499]/[1880] Speed: 113.846170 samples/sec accuracy=42.215625 loss=2.540202 lr=0.086439 Epoch[065] Batch [0549]/[1880] Speed: 104.090338 samples/sec accuracy=42.223011 loss=2.541061 lr=0.086423 Epoch[065] Batch [0599]/[1880] Speed: 115.100746 samples/sec accuracy=42.304688 loss=2.542930 lr=0.086406 Epoch[065] Batch [0649]/[1880] Speed: 105.848138 samples/sec accuracy=42.239183 loss=2.544380 lr=0.086389 Epoch[065] Batch [0699]/[1880] Speed: 110.960380 samples/sec accuracy=42.233259 loss=2.545380 lr=0.086373 Epoch[065] Batch [0749]/[1880] Speed: 110.652923 samples/sec accuracy=42.192708 loss=2.550046 lr=0.086356 Epoch[065] Batch [0799]/[1880] Speed: 107.853388 samples/sec accuracy=42.183594 loss=2.551482 lr=0.086339 Epoch[065] Batch 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accuracy=42.036659 loss=2.558468 lr=0.086172 Epoch[065] Batch [1349]/[1880] Speed: 108.712970 samples/sec accuracy=42.006944 loss=2.559750 lr=0.086155 Epoch[065] Batch [1399]/[1880] Speed: 111.081846 samples/sec accuracy=42.019531 loss=2.559329 lr=0.086138 Epoch[065] Batch [1449]/[1880] Speed: 106.625000 samples/sec accuracy=42.019397 loss=2.560778 lr=0.086122 Epoch[065] Batch [1499]/[1880] Speed: 111.475541 samples/sec accuracy=42.008854 loss=2.560455 lr=0.086105 Epoch[065] Batch [1549]/[1880] Speed: 104.543449 samples/sec accuracy=41.990423 loss=2.561308 lr=0.086088 Epoch[065] Batch [1599]/[1880] Speed: 115.300140 samples/sec accuracy=41.964355 loss=2.563620 lr=0.086071 Epoch[065] Batch [1649]/[1880] Speed: 111.067292 samples/sec accuracy=41.973011 loss=2.563498 lr=0.086054 Epoch[065] Batch [1699]/[1880] Speed: 106.127568 samples/sec accuracy=41.955423 loss=2.563127 lr=0.086038 Epoch[065] Batch [1749]/[1880] Speed: 114.703349 samples/sec accuracy=41.956250 loss=2.563542 lr=0.086021 Epoch[065] Batch [1799]/[1880] Speed: 102.393427 samples/sec accuracy=41.975694 loss=2.563002 lr=0.086004 Epoch[065] Batch [1849]/[1880] Speed: 114.723171 samples/sec accuracy=41.952703 loss=2.563570 lr=0.085987 Batch [0049]/[0151]: acc-top1=39.843750 acc-top5=65.703125 Batch [0099]/[0151]: acc-top1=44.039062 acc-top5=68.593750 Batch [0149]/[0151]: acc-top1=41.958333 acc-top5=68.031250 [Epoch 065] training: accuracy=41.939827 loss=2.564668 [Epoch 065] speed: 108 samples/sec time cost: 2405.999755 [Epoch 065] validation: acc-top1=41.918460 acc-top5=67.973924 loss=2.619345 Epoch[066] Batch [0049]/[1880] Speed: 76.471986 samples/sec accuracy=42.593750 loss=2.498987 lr=0.085960 Epoch[066] Batch [0099]/[1880] Speed: 108.931929 samples/sec accuracy=42.679688 loss=2.508906 lr=0.085943 Epoch[066] Batch [0149]/[1880] Speed: 109.296324 samples/sec accuracy=42.218750 loss=2.529853 lr=0.085926 Epoch[066] Batch [0199]/[1880] Speed: 110.717254 samples/sec accuracy=42.339844 loss=2.534580 lr=0.085909 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loss=2.542310 lr=0.085586 Epoch[066] Batch [1199]/[1880] Speed: 104.720999 samples/sec accuracy=42.098958 loss=2.544344 lr=0.085569 Epoch[066] Batch [1249]/[1880] Speed: 112.328686 samples/sec accuracy=42.077500 loss=2.546308 lr=0.085552 Epoch[066] Batch [1299]/[1880] Speed: 108.738787 samples/sec accuracy=42.092548 loss=2.545771 lr=0.085535 Epoch[066] Batch [1349]/[1880] Speed: 109.341069 samples/sec accuracy=42.117477 loss=2.545263 lr=0.085518 Epoch[066] Batch [1399]/[1880] Speed: 110.881928 samples/sec accuracy=42.104353 loss=2.546736 lr=0.085501 Epoch[066] Batch [1449]/[1880] Speed: 107.990920 samples/sec accuracy=42.091595 loss=2.547826 lr=0.085484 Epoch[066] Batch [1499]/[1880] Speed: 110.592535 samples/sec accuracy=42.101562 loss=2.548696 lr=0.085467 Epoch[066] Batch [1549]/[1880] Speed: 116.757644 samples/sec accuracy=42.075605 loss=2.550711 lr=0.085450 Epoch[066] Batch [1599]/[1880] Speed: 103.907126 samples/sec accuracy=42.051758 loss=2.551525 lr=0.085432 Epoch[066] Batch [1649]/[1880] Speed: 113.798262 samples/sec accuracy=42.074337 loss=2.550679 lr=0.085415 Epoch[066] Batch [1699]/[1880] Speed: 108.088505 samples/sec accuracy=42.045496 loss=2.551754 lr=0.085398 Epoch[066] Batch [1749]/[1880] Speed: 108.562254 samples/sec accuracy=42.061161 loss=2.551225 lr=0.085381 Epoch[066] Batch [1799]/[1880] Speed: 109.745194 samples/sec accuracy=42.047743 loss=2.551911 lr=0.085364 Epoch[066] Batch [1849]/[1880] Speed: 104.173961 samples/sec accuracy=42.032095 loss=2.553114 lr=0.085347 Batch [0049]/[0151]: acc-top1=41.000000 acc-top5=66.000000 Batch [0099]/[0151]: acc-top1=44.343750 acc-top5=69.093750 Batch [0149]/[0151]: acc-top1=42.932292 acc-top5=69.072917 [Epoch 066] training: accuracy=42.031666 loss=2.553302 [Epoch 066] speed: 108 samples/sec time cost: 2406.684424 [Epoch 066] validation: acc-top1=42.865273 acc-top5=68.977649 loss=2.524673 Epoch[067] Batch [0049]/[1880] Speed: 76.890247 samples/sec accuracy=44.093750 loss=2.444792 lr=0.085319 Epoch[067] Batch 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accuracy=42.538352 loss=2.521556 lr=0.085147 Epoch[067] Batch [0599]/[1880] Speed: 114.466070 samples/sec accuracy=42.479167 loss=2.525253 lr=0.085129 Epoch[067] Batch [0649]/[1880] Speed: 109.324008 samples/sec accuracy=42.447115 loss=2.527556 lr=0.085112 Epoch[067] Batch [0699]/[1880] Speed: 107.217553 samples/sec accuracy=42.428571 loss=2.531721 lr=0.085095 Epoch[067] Batch [0749]/[1880] Speed: 111.883637 samples/sec accuracy=42.381250 loss=2.534998 lr=0.085078 Epoch[067] Batch [0799]/[1880] Speed: 106.382043 samples/sec accuracy=42.377930 loss=2.535777 lr=0.085060 Epoch[067] Batch [0849]/[1880] Speed: 111.276722 samples/sec accuracy=42.403493 loss=2.535836 lr=0.085043 Epoch[067] Batch [0899]/[1880] Speed: 105.075174 samples/sec accuracy=42.386285 loss=2.536876 lr=0.085026 Epoch[067] Batch [0949]/[1880] Speed: 111.066581 samples/sec accuracy=42.341283 loss=2.538995 lr=0.085008 Epoch[067] Batch [0999]/[1880] Speed: 116.935506 samples/sec accuracy=42.307031 loss=2.541139 lr=0.084991 Epoch[067] Batch [1049]/[1880] Speed: 106.737246 samples/sec accuracy=42.290179 loss=2.542126 lr=0.084973 Epoch[067] Batch [1099]/[1880] Speed: 108.965241 samples/sec accuracy=42.276989 loss=2.542416 lr=0.084956 Epoch[067] Batch [1149]/[1880] Speed: 108.344826 samples/sec accuracy=42.280571 loss=2.542635 lr=0.084939 Epoch[067] Batch [1199]/[1880] Speed: 107.797752 samples/sec accuracy=42.249349 loss=2.542998 lr=0.084921 Epoch[067] Batch [1249]/[1880] Speed: 113.970152 samples/sec accuracy=42.216250 loss=2.545693 lr=0.084904 Epoch[067] Batch [1299]/[1880] Speed: 106.889904 samples/sec accuracy=42.200120 loss=2.546200 lr=0.084887 Epoch[067] Batch [1349]/[1880] Speed: 112.953384 samples/sec accuracy=42.160301 loss=2.546006 lr=0.084869 Epoch[067] Batch [1399]/[1880] Speed: 110.370786 samples/sec accuracy=42.151228 loss=2.545608 lr=0.084852 Epoch[067] Batch [1449]/[1880] Speed: 109.454454 samples/sec accuracy=42.146013 loss=2.547322 lr=0.084834 Epoch[067] Batch [1499]/[1880] Speed: 111.604351 samples/sec accuracy=42.147396 loss=2.546499 lr=0.084817 Epoch[067] Batch [1549]/[1880] Speed: 107.739942 samples/sec accuracy=42.165827 loss=2.546394 lr=0.084799 Epoch[067] Batch [1599]/[1880] Speed: 108.727209 samples/sec accuracy=42.153809 loss=2.546298 lr=0.084782 Epoch[067] Batch [1649]/[1880] Speed: 112.906395 samples/sec accuracy=42.156723 loss=2.546083 lr=0.084764 Epoch[067] Batch [1699]/[1880] Speed: 105.045130 samples/sec accuracy=42.184283 loss=2.544822 lr=0.084747 Epoch[067] Batch [1749]/[1880] Speed: 115.548483 samples/sec accuracy=42.167411 loss=2.546211 lr=0.084730 Epoch[067] Batch [1799]/[1880] Speed: 109.528457 samples/sec accuracy=42.156684 loss=2.547355 lr=0.084712 Epoch[067] Batch [1849]/[1880] Speed: 106.608946 samples/sec accuracy=42.154139 loss=2.546969 lr=0.084695 Batch [0049]/[0151]: acc-top1=38.906250 acc-top5=64.750000 Batch [0099]/[0151]: acc-top1=42.750000 acc-top5=67.750000 Batch [0149]/[0151]: acc-top1=40.989583 acc-top5=67.296875 [Epoch 067] training: accuracy=42.173371 loss=2.546637 [Epoch 067] speed: 109 samples/sec time cost: 2400.769564 [Epoch 067] validation: acc-top1=40.956126 acc-top5=67.265108 loss=2.650161 Epoch[068] Batch [0049]/[1880] Speed: 76.708101 samples/sec accuracy=42.156250 loss=2.538101 lr=0.084667 Epoch[068] Batch [0099]/[1880] Speed: 114.995892 samples/sec accuracy=42.578125 loss=2.523745 lr=0.084649 Epoch[068] Batch [0149]/[1880] Speed: 108.365684 samples/sec accuracy=42.666667 loss=2.523556 lr=0.084631 Epoch[068] Batch [0199]/[1880] Speed: 108.576903 samples/sec accuracy=42.867188 loss=2.510760 lr=0.084614 Epoch[068] Batch [0249]/[1880] Speed: 113.051911 samples/sec accuracy=43.006250 loss=2.508892 lr=0.084596 Epoch[068] Batch [0299]/[1880] Speed: 106.469557 samples/sec accuracy=42.955729 loss=2.516323 lr=0.084579 Epoch[068] Batch [0349]/[1880] Speed: 109.270602 samples/sec accuracy=42.899554 loss=2.516875 lr=0.084561 Epoch[068] Batch [0399]/[1880] Speed: 115.448845 samples/sec accuracy=42.917969 loss=2.515189 lr=0.084544 Epoch[068] Batch [0449]/[1880] Speed: 105.394863 samples/sec accuracy=42.835069 loss=2.518190 lr=0.084526 Epoch[068] Batch [0499]/[1880] Speed: 115.490065 samples/sec accuracy=42.706250 loss=2.522115 lr=0.084509 Epoch[068] Batch [0549]/[1880] Speed: 100.265002 samples/sec accuracy=42.738636 loss=2.522352 lr=0.084491 Epoch[068] Batch [0599]/[1880] Speed: 118.504563 samples/sec accuracy=42.802083 loss=2.519742 lr=0.084473 Epoch[068] Batch [0649]/[1880] Speed: 102.433627 samples/sec accuracy=42.818510 loss=2.519084 lr=0.084456 Epoch[068] Batch [0699]/[1880] Speed: 116.571152 samples/sec accuracy=42.770089 loss=2.522093 lr=0.084438 Epoch[068] Batch [0749]/[1880] Speed: 103.299978 samples/sec accuracy=42.721875 loss=2.524901 lr=0.084421 Epoch[068] Batch [0799]/[1880] Speed: 115.331066 samples/sec accuracy=42.667969 loss=2.527625 lr=0.084403 Epoch[068] Batch [0849]/[1880] Speed: 107.160103 samples/sec accuracy=42.656250 loss=2.529382 lr=0.084385 Epoch[068] Batch [0899]/[1880] Speed: 110.403703 samples/sec accuracy=42.640625 loss=2.529078 lr=0.084368 Epoch[068] Batch [0949]/[1880] Speed: 116.214813 samples/sec accuracy=42.600329 loss=2.531114 lr=0.084350 Epoch[068] Batch [0999]/[1880] Speed: 105.261842 samples/sec accuracy=42.547656 loss=2.533506 lr=0.084332 Epoch[068] Batch [1049]/[1880] Speed: 113.604024 samples/sec accuracy=42.501488 loss=2.535343 lr=0.084315 Epoch[068] Batch [1099]/[1880] Speed: 105.637689 samples/sec accuracy=42.485085 loss=2.535245 lr=0.084297 Epoch[068] Batch [1149]/[1880] Speed: 115.572190 samples/sec accuracy=42.470788 loss=2.533954 lr=0.084279 Epoch[068] Batch [1199]/[1880] Speed: 102.291137 samples/sec accuracy=42.485026 loss=2.533343 lr=0.084262 Epoch[068] Batch [1249]/[1880] Speed: 114.398248 samples/sec accuracy=42.495000 loss=2.532304 lr=0.084244 Epoch[068] Batch [1299]/[1880] Speed: 107.839598 samples/sec accuracy=42.451923 loss=2.533296 lr=0.084226 Epoch[068] Batch [1349]/[1880] Speed: 110.160563 samples/sec accuracy=42.441551 loss=2.534528 lr=0.084208 Epoch[068] Batch [1399]/[1880] Speed: 113.196658 samples/sec accuracy=42.450893 loss=2.534408 lr=0.084191 Epoch[068] Batch [1449]/[1880] Speed: 106.713390 samples/sec accuracy=42.413793 loss=2.535835 lr=0.084173 Epoch[068] Batch [1499]/[1880] Speed: 111.725238 samples/sec accuracy=42.443750 loss=2.535320 lr=0.084155 Epoch[068] Batch [1549]/[1880] Speed: 110.804068 samples/sec accuracy=42.423387 loss=2.536076 lr=0.084137 Epoch[068] Batch [1599]/[1880] Speed: 108.229398 samples/sec accuracy=42.428223 loss=2.535827 lr=0.084120 Epoch[068] Batch [1649]/[1880] Speed: 109.588490 samples/sec accuracy=42.414299 loss=2.535791 lr=0.084102 Epoch[068] Batch [1699]/[1880] Speed: 108.958665 samples/sec accuracy=42.397978 loss=2.537881 lr=0.084084 Epoch[068] Batch [1749]/[1880] Speed: 111.695040 samples/sec accuracy=42.385268 loss=2.538769 lr=0.084066 Epoch[068] Batch [1799]/[1880] Speed: 110.218656 samples/sec accuracy=42.409722 loss=2.538623 lr=0.084049 Epoch[068] Batch [1849]/[1880] Speed: 106.644593 samples/sec accuracy=42.419341 loss=2.538126 lr=0.084031 Batch [0049]/[0151]: acc-top1=38.921875 acc-top5=65.171875 Batch [0099]/[0151]: acc-top1=43.468750 acc-top5=68.679688 Batch [0149]/[0151]: acc-top1=42.104167 acc-top5=68.036458 [Epoch 068] training: accuracy=42.428108 loss=2.537448 [Epoch 068] speed: 109 samples/sec time cost: 2401.639647 [Epoch 068] validation: acc-top1=42.073675 acc-top5=68.046358 loss=2.597912 Epoch[069] Batch [0049]/[1879] Speed: 76.685154 samples/sec accuracy=43.406250 loss=2.497345 lr=0.084002 Epoch[069] Batch [0099]/[1879] Speed: 116.890984 samples/sec accuracy=43.367188 loss=2.492520 lr=0.083984 Epoch[069] Batch [0149]/[1879] Speed: 104.215474 samples/sec accuracy=43.312500 loss=2.493754 lr=0.083967 Epoch[069] Batch [0199]/[1879] Speed: 111.684727 samples/sec accuracy=43.269531 loss=2.499603 lr=0.083949 Epoch[069] Batch [0249]/[1879] Speed: 107.488194 samples/sec accuracy=43.281250 loss=2.497196 lr=0.083931 Epoch[069] Batch [0299]/[1879] Speed: 113.466219 samples/sec accuracy=43.317708 loss=2.502046 lr=0.083913 Epoch[069] Batch [0349]/[1879] Speed: 104.601065 samples/sec accuracy=43.283482 loss=2.502686 lr=0.083895 Epoch[069] Batch [0399]/[1879] Speed: 111.784462 samples/sec accuracy=43.326172 loss=2.501605 lr=0.083877 Epoch[069] Batch [0449]/[1879] Speed: 108.834083 samples/sec accuracy=43.178819 loss=2.504324 lr=0.083860 Epoch[069] Batch [0499]/[1879] Speed: 111.699075 samples/sec accuracy=43.106250 loss=2.505958 lr=0.083842 Epoch[069] Batch [0549]/[1879] Speed: 109.697543 samples/sec accuracy=43.093750 loss=2.506248 lr=0.083824 Epoch[069] Batch [0599]/[1879] Speed: 106.474593 samples/sec accuracy=43.080729 loss=2.505827 lr=0.083806 Epoch[069] Batch [0649]/[1879] Speed: 110.684016 samples/sec accuracy=42.961538 loss=2.510572 lr=0.083788 Epoch[069] Batch [0699]/[1879] Speed: 111.728924 samples/sec accuracy=42.898438 loss=2.513637 lr=0.083770 Epoch[069] Batch [0749]/[1879] Speed: 111.338816 samples/sec accuracy=42.862500 loss=2.516805 lr=0.083752 Epoch[069] Batch [0799]/[1879] Speed: 108.205607 samples/sec accuracy=42.848633 loss=2.517962 lr=0.083734 Epoch[069] Batch [0849]/[1879] Speed: 110.202729 samples/sec accuracy=42.815257 loss=2.517806 lr=0.083716 Epoch[069] Batch [0899]/[1879] Speed: 108.637410 samples/sec accuracy=42.763021 loss=2.521227 lr=0.083698 Epoch[069] Batch [0949]/[1879] Speed: 108.871258 samples/sec accuracy=42.726151 loss=2.524290 lr=0.083680 Epoch[069] Batch [0999]/[1879] Speed: 112.604778 samples/sec accuracy=42.661719 loss=2.527064 lr=0.083662 Epoch[069] Batch [1049]/[1879] Speed: 106.505725 samples/sec accuracy=42.638393 loss=2.528695 lr=0.083644 Epoch[069] Batch [1099]/[1879] Speed: 110.169915 samples/sec accuracy=42.580966 loss=2.530271 lr=0.083626 Epoch[069] Batch [1149]/[1879] Speed: 110.596814 samples/sec accuracy=42.572011 loss=2.530809 lr=0.083608 Epoch[069] Batch [1199]/[1879] Speed: 112.597043 samples/sec accuracy=42.520833 loss=2.532407 lr=0.083590 Epoch[069] Batch [1249]/[1879] Speed: 105.482278 samples/sec accuracy=42.500625 loss=2.532362 lr=0.083572 Epoch[069] Batch [1299]/[1879] Speed: 113.005047 samples/sec accuracy=42.509615 loss=2.530745 lr=0.083554 Epoch[069] Batch [1349]/[1879] Speed: 108.787578 samples/sec accuracy=42.506944 loss=2.530720 lr=0.083536 Epoch[069] Batch [1399]/[1879] Speed: 110.897405 samples/sec accuracy=42.488281 loss=2.532840 lr=0.083518 Epoch[069] Batch [1449]/[1879] Speed: 106.952549 samples/sec accuracy=42.482759 loss=2.533550 lr=0.083500 Epoch[069] Batch [1499]/[1879] Speed: 111.845290 samples/sec accuracy=42.486979 loss=2.533170 lr=0.083482 Epoch[069] Batch [1549]/[1879] Speed: 108.669901 samples/sec accuracy=42.485383 loss=2.533726 lr=0.083464 Epoch[069] Batch [1599]/[1879] Speed: 113.470857 samples/sec accuracy=42.484863 loss=2.534502 lr=0.083446 Epoch[069] Batch [1649]/[1879] Speed: 105.212512 samples/sec accuracy=42.492424 loss=2.533934 lr=0.083428 Epoch[069] Batch [1699]/[1879] Speed: 114.136801 samples/sec accuracy=42.489890 loss=2.534059 lr=0.083410 Epoch[069] Batch [1749]/[1879] Speed: 109.865058 samples/sec accuracy=42.445089 loss=2.535954 lr=0.083392 Epoch[069] Batch [1799]/[1879] Speed: 108.309897 samples/sec accuracy=42.458333 loss=2.536699 lr=0.083374 Epoch[069] Batch [1849]/[1879] Speed: 110.352249 samples/sec accuracy=42.448480 loss=2.536800 lr=0.083356 Batch [0049]/[0151]: acc-top1=39.328125 acc-top5=65.390625 Batch [0099]/[0151]: acc-top1=43.179688 acc-top5=68.351562 Batch [0149]/[0151]: acc-top1=42.151042 acc-top5=68.354167 [Epoch 069] training: accuracy=42.465657 loss=2.536251 [Epoch 069] speed: 109 samples/sec time cost: 2402.718171 [Epoch 069] validation: acc-top1=42.135762 acc-top5=68.336093 loss=2.606291 Epoch[070] Batch [0049]/[1880] Speed: 77.115460 samples/sec accuracy=42.359375 loss=2.489478 lr=0.083327 Epoch[070] Batch [0099]/[1880] Speed: 114.726913 samples/sec accuracy=42.953125 loss=2.492172 lr=0.083309 Epoch[070] Batch 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accuracy=42.906250 loss=2.509327 lr=0.083127 Epoch[070] Batch [0649]/[1880] Speed: 106.131783 samples/sec accuracy=42.816106 loss=2.512816 lr=0.083109 Epoch[070] Batch [0699]/[1880] Speed: 110.115433 samples/sec accuracy=42.654018 loss=2.518757 lr=0.083091 Epoch[070] Batch [0749]/[1880] Speed: 110.988632 samples/sec accuracy=42.712500 loss=2.517758 lr=0.083073 Epoch[070] Batch [0799]/[1880] Speed: 104.169992 samples/sec accuracy=42.716797 loss=2.518614 lr=0.083054 Epoch[070] Batch [0849]/[1880] Speed: 115.413340 samples/sec accuracy=42.720588 loss=2.518101 lr=0.083036 Epoch[070] Batch [0899]/[1880] Speed: 115.157378 samples/sec accuracy=42.731771 loss=2.517901 lr=0.083018 Epoch[070] Batch [0949]/[1880] Speed: 103.705113 samples/sec accuracy=42.744243 loss=2.519310 lr=0.083000 Epoch[070] Batch [0999]/[1880] Speed: 115.666039 samples/sec accuracy=42.744531 loss=2.520317 lr=0.082981 Epoch[070] Batch [1049]/[1880] Speed: 100.603348 samples/sec accuracy=42.688244 loss=2.521637 lr=0.082963 Epoch[070] Batch [1099]/[1880] Speed: 118.809406 samples/sec accuracy=42.686080 loss=2.522545 lr=0.082945 Epoch[070] Batch [1149]/[1880] Speed: 105.721459 samples/sec accuracy=42.653533 loss=2.523245 lr=0.082927 Epoch[070] Batch [1199]/[1880] Speed: 111.807391 samples/sec accuracy=42.635417 loss=2.523700 lr=0.082908 Epoch[070] Batch [1249]/[1880] Speed: 105.590233 samples/sec accuracy=42.600625 loss=2.525607 lr=0.082890 Epoch[070] Batch [1299]/[1880] Speed: 111.334422 samples/sec accuracy=42.617188 loss=2.525405 lr=0.082872 Epoch[070] Batch [1349]/[1880] Speed: 111.542359 samples/sec accuracy=42.586227 loss=2.527029 lr=0.082853 Epoch[070] Batch [1399]/[1880] Speed: 109.959361 samples/sec accuracy=42.567522 loss=2.528436 lr=0.082835 Epoch[070] Batch [1449]/[1880] Speed: 108.405926 samples/sec accuracy=42.573815 loss=2.528942 lr=0.082817 Epoch[070] Batch [1499]/[1880] Speed: 111.070324 samples/sec accuracy=42.582813 loss=2.529451 lr=0.082798 Epoch[070] Batch [1549]/[1880] Speed: 108.111783 samples/sec accuracy=42.606351 loss=2.528874 lr=0.082780 Epoch[070] Batch [1599]/[1880] Speed: 109.498612 samples/sec accuracy=42.571777 loss=2.529604 lr=0.082762 Epoch[070] Batch [1649]/[1880] Speed: 110.401477 samples/sec accuracy=42.572443 loss=2.530052 lr=0.082743 Epoch[070] Batch [1699]/[1880] Speed: 110.841779 samples/sec accuracy=42.566636 loss=2.529410 lr=0.082725 Epoch[070] Batch [1749]/[1880] Speed: 113.322365 samples/sec accuracy=42.573661 loss=2.529240 lr=0.082707 Epoch[070] Batch [1799]/[1880] Speed: 105.299303 samples/sec accuracy=42.602865 loss=2.528833 lr=0.082688 Epoch[070] Batch [1849]/[1880] Speed: 116.508859 samples/sec accuracy=42.595439 loss=2.528191 lr=0.082670 Batch [0049]/[0151]: acc-top1=37.031250 acc-top5=62.218750 Batch [0099]/[0151]: acc-top1=41.742188 acc-top5=66.031250 Batch [0149]/[0151]: acc-top1=40.505208 acc-top5=66.234375 [Epoch 070] training: accuracy=42.591838 loss=2.528581 [Epoch 070] speed: 109 samples/sec time cost: 2401.352155 [Epoch 070] validation: acc-top1=40.454263 acc-top5=66.199296 loss=2.722703 Epoch[071] Batch [0049]/[1880] Speed: 77.206723 samples/sec accuracy=43.000000 loss=2.496421 lr=0.082640 Epoch[071] Batch [0099]/[1880] Speed: 111.861180 samples/sec accuracy=43.437500 loss=2.477192 lr=0.082622 Epoch[071] Batch [0149]/[1880] Speed: 106.191209 samples/sec accuracy=43.385417 loss=2.475798 lr=0.082604 Epoch[071] Batch [0199]/[1880] Speed: 112.331347 samples/sec accuracy=43.421875 loss=2.481259 lr=0.082585 Epoch[071] Batch [0249]/[1880] Speed: 110.084327 samples/sec accuracy=43.240625 loss=2.490562 lr=0.082567 Epoch[071] Batch [0299]/[1880] Speed: 106.820347 samples/sec accuracy=43.151042 loss=2.495631 lr=0.082548 Epoch[071] Batch [0349]/[1880] Speed: 114.765248 samples/sec accuracy=43.125000 loss=2.496579 lr=0.082530 Epoch[071] Batch [0399]/[1880] Speed: 102.763308 samples/sec accuracy=42.988281 loss=2.502314 lr=0.082511 Epoch[071] Batch [0449]/[1880] Speed: 117.239119 samples/sec accuracy=42.883681 loss=2.506513 lr=0.082493 Epoch[071] Batch [0499]/[1880] Speed: 104.121479 samples/sec accuracy=42.895312 loss=2.509764 lr=0.082474 Epoch[071] Batch [0549]/[1880] Speed: 113.343665 samples/sec accuracy=42.860795 loss=2.511273 lr=0.082456 Epoch[071] Batch [0599]/[1880] Speed: 112.256979 samples/sec accuracy=42.867188 loss=2.514040 lr=0.082437 Epoch[071] Batch [0649]/[1880] Speed: 107.945686 samples/sec accuracy=42.870192 loss=2.514191 lr=0.082419 Epoch[071] Batch [0699]/[1880] Speed: 112.980633 samples/sec accuracy=42.857143 loss=2.516220 lr=0.082400 Epoch[071] Batch [0749]/[1880] Speed: 106.199075 samples/sec accuracy=42.839583 loss=2.516217 lr=0.082382 Epoch[071] Batch [0799]/[1880] Speed: 113.414883 samples/sec accuracy=42.828125 loss=2.517212 lr=0.082363 Epoch[071] Batch [0849]/[1880] Speed: 103.948499 samples/sec accuracy=42.823529 loss=2.516481 lr=0.082345 Epoch[071] Batch [0899]/[1880] Speed: 116.283929 samples/sec accuracy=42.796007 loss=2.517874 lr=0.082326 Epoch[071] Batch [0949]/[1880] Speed: 105.878695 samples/sec accuracy=42.765625 loss=2.520099 lr=0.082308 Epoch[071] Batch [0999]/[1880] Speed: 111.300837 samples/sec accuracy=42.810156 loss=2.517172 lr=0.082289 Epoch[071] Batch [1049]/[1880] Speed: 110.937657 samples/sec accuracy=42.764137 loss=2.520574 lr=0.082271 Epoch[071] Batch [1099]/[1880] Speed: 107.622210 samples/sec accuracy=42.726562 loss=2.520617 lr=0.082252 Epoch[071] Batch [1149]/[1880] Speed: 113.847091 samples/sec accuracy=42.743207 loss=2.521395 lr=0.082234 Epoch[071] Batch [1199]/[1880] Speed: 105.010229 samples/sec accuracy=42.753906 loss=2.520164 lr=0.082215 Epoch[071] Batch [1249]/[1880] Speed: 115.747094 samples/sec accuracy=42.773750 loss=2.519082 lr=0.082196 Epoch[071] Batch [1299]/[1880] Speed: 101.400029 samples/sec accuracy=42.733173 loss=2.520185 lr=0.082178 Epoch[071] Batch [1349]/[1880] Speed: 117.647962 samples/sec accuracy=42.751736 loss=2.519263 lr=0.082159 Epoch[071] Batch [1399]/[1880] Speed: 110.520540 samples/sec accuracy=42.741071 loss=2.519887 lr=0.082141 Epoch[071] Batch [1449]/[1880] Speed: 107.252864 samples/sec accuracy=42.738147 loss=2.519317 lr=0.082122 Epoch[071] Batch [1499]/[1880] Speed: 115.476301 samples/sec accuracy=42.765625 loss=2.518525 lr=0.082103 Epoch[071] Batch [1549]/[1880] Speed: 101.243569 samples/sec accuracy=42.749496 loss=2.519306 lr=0.082085 Epoch[071] Batch [1599]/[1880] Speed: 117.656593 samples/sec accuracy=42.710938 loss=2.520760 lr=0.082066 Epoch[071] Batch [1649]/[1880] Speed: 101.738933 samples/sec accuracy=42.666667 loss=2.522243 lr=0.082047 Epoch[071] Batch [1699]/[1880] Speed: 116.097050 samples/sec accuracy=42.667279 loss=2.522664 lr=0.082029 Epoch[071] Batch [1749]/[1880] Speed: 105.075047 samples/sec accuracy=42.661607 loss=2.523017 lr=0.082010 Epoch[071] Batch [1799]/[1880] Speed: 110.577982 samples/sec accuracy=42.671441 loss=2.522797 lr=0.081991 Epoch[071] Batch [1849]/[1880] Speed: 116.508322 samples/sec accuracy=42.687922 loss=2.522571 lr=0.081973 Batch [0049]/[0151]: acc-top1=40.640625 acc-top5=66.187500 Batch [0099]/[0151]: acc-top1=43.148438 acc-top5=67.867188 Batch [0149]/[0151]: acc-top1=41.442708 acc-top5=67.026042 [Epoch 071] training: accuracy=42.677028 loss=2.523184 [Epoch 071] speed: 109 samples/sec time cost: 2403.269930 [Epoch 071] validation: acc-top1=41.416598 acc-top5=67.027111 loss=2.628039 Epoch[072] Batch [0049]/[1880] Speed: 76.380175 samples/sec accuracy=42.531250 loss=2.494607 lr=0.081943 Epoch[072] Batch [0099]/[1880] Speed: 116.480678 samples/sec accuracy=42.492188 loss=2.500765 lr=0.081924 Epoch[072] Batch [0149]/[1880] Speed: 106.726526 samples/sec accuracy=42.546875 loss=2.504571 lr=0.081905 Epoch[072] Batch [0199]/[1880] Speed: 112.016819 samples/sec accuracy=42.765625 loss=2.499590 lr=0.081887 Epoch[072] Batch [0249]/[1880] Speed: 106.003106 samples/sec accuracy=42.928125 loss=2.491240 lr=0.081868 Epoch[072] Batch [0299]/[1880] Speed: 113.803778 samples/sec accuracy=43.000000 loss=2.489356 lr=0.081849 Epoch[072] Batch [0349]/[1880] Speed: 110.659869 samples/sec accuracy=42.959821 loss=2.487058 lr=0.081830 Epoch[072] Batch [0399]/[1880] Speed: 107.734016 samples/sec accuracy=42.947266 loss=2.491515 lr=0.081812 Epoch[072] Batch [0449]/[1880] Speed: 111.302014 samples/sec accuracy=42.951389 loss=2.491990 lr=0.081793 Epoch[072] Batch [0499]/[1880] Speed: 107.415233 samples/sec accuracy=42.917187 loss=2.493857 lr=0.081774 Epoch[072] Batch [0549]/[1880] Speed: 110.931293 samples/sec accuracy=42.894886 loss=2.494922 lr=0.081755 Epoch[072] Batch [0599]/[1880] Speed: 112.218398 samples/sec accuracy=42.944010 loss=2.495099 lr=0.081737 Epoch[072] Batch [0649]/[1880] Speed: 105.912839 samples/sec accuracy=42.899038 loss=2.499061 lr=0.081718 Epoch[072] Batch [0699]/[1880] Speed: 118.384510 samples/sec accuracy=42.813616 loss=2.503216 lr=0.081699 Epoch[072] Batch [0749]/[1880] Speed: 103.478981 samples/sec accuracy=42.798958 loss=2.504764 lr=0.081680 Epoch[072] Batch [0799]/[1880] Speed: 111.125953 samples/sec accuracy=42.750000 loss=2.507735 lr=0.081662 Epoch[072] Batch [0849]/[1880] Speed: 106.405011 samples/sec accuracy=42.762868 loss=2.508190 lr=0.081643 Epoch[072] Batch [0899]/[1880] Speed: 111.150365 samples/sec accuracy=42.673611 loss=2.511101 lr=0.081624 Epoch[072] Batch [0949]/[1880] Speed: 108.750593 samples/sec accuracy=42.717105 loss=2.509539 lr=0.081605 Epoch[072] Batch [0999]/[1880] Speed: 114.865143 samples/sec accuracy=42.707031 loss=2.510685 lr=0.081586 Epoch[072] Batch [1049]/[1880] Speed: 107.732370 samples/sec accuracy=42.696429 loss=2.511573 lr=0.081567 Epoch[072] Batch [1099]/[1880] Speed: 108.279223 samples/sec accuracy=42.747869 loss=2.510928 lr=0.081549 Epoch[072] Batch [1149]/[1880] Speed: 113.976153 samples/sec accuracy=42.720109 loss=2.511937 lr=0.081530 Epoch[072] Batch [1199]/[1880] Speed: 106.676699 samples/sec accuracy=42.682943 loss=2.513774 lr=0.081511 Epoch[072] Batch [1249]/[1880] Speed: 109.209153 samples/sec accuracy=42.628750 loss=2.516763 lr=0.081492 Epoch[072] Batch [1299]/[1880] Speed: 109.417728 samples/sec accuracy=42.635216 loss=2.517337 lr=0.081473 Epoch[072] Batch [1349]/[1880] Speed: 111.796142 samples/sec accuracy=42.625579 loss=2.517802 lr=0.081454 Epoch[072] Batch [1399]/[1880] Speed: 108.948059 samples/sec accuracy=42.628348 loss=2.518570 lr=0.081435 Epoch[072] Batch [1449]/[1880] Speed: 110.074560 samples/sec accuracy=42.613147 loss=2.518639 lr=0.081416 Epoch[072] Batch [1499]/[1880] Speed: 108.612972 samples/sec accuracy=42.627604 loss=2.518955 lr=0.081397 Epoch[072] Batch [1549]/[1880] Speed: 107.579738 samples/sec accuracy=42.662802 loss=2.517717 lr=0.081379 Epoch[072] Batch [1599]/[1880] Speed: 115.701593 samples/sec accuracy=42.676270 loss=2.517891 lr=0.081360 Epoch[072] Batch [1649]/[1880] Speed: 104.986194 samples/sec accuracy=42.694129 loss=2.517037 lr=0.081341 Epoch[072] Batch [1699]/[1880] Speed: 113.295790 samples/sec accuracy=42.706342 loss=2.516866 lr=0.081322 Epoch[072] Batch [1749]/[1880] Speed: 105.864956 samples/sec accuracy=42.710268 loss=2.516546 lr=0.081303 Epoch[072] Batch [1799]/[1880] Speed: 112.286928 samples/sec accuracy=42.701823 loss=2.517386 lr=0.081284 Epoch[072] Batch [1849]/[1880] Speed: 111.748743 samples/sec accuracy=42.715372 loss=2.517134 lr=0.081265 Batch [0049]/[0151]: acc-top1=37.828125 acc-top5=64.171875 Batch [0099]/[0151]: acc-top1=42.695312 acc-top5=67.375000 Batch [0149]/[0151]: acc-top1=41.104167 acc-top5=67.447917 [Epoch 072] training: accuracy=42.694897 loss=2.518191 [Epoch 072] speed: 109 samples/sec time cost: 2402.675964 [Epoch 072] validation: acc-top1=41.069950 acc-top5=67.363411 loss=2.666317 Epoch[073] Batch [0049]/[1880] Speed: 76.324814 samples/sec accuracy=43.531250 loss=2.447952 lr=0.081235 Epoch[073] Batch [0099]/[1880] Speed: 112.615908 samples/sec accuracy=43.164062 loss=2.461132 lr=0.081216 Epoch[073] Batch [0149]/[1880] Speed: 110.188943 samples/sec accuracy=43.229167 loss=2.467663 lr=0.081197 Epoch[073] Batch 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accuracy=43.348558 loss=2.479087 lr=0.081006 Epoch[073] Batch [0699]/[1880] Speed: 111.073429 samples/sec accuracy=43.340402 loss=2.479036 lr=0.080987 Epoch[073] Batch [0749]/[1880] Speed: 105.465009 samples/sec accuracy=43.311458 loss=2.481725 lr=0.080968 Epoch[073] Batch [0799]/[1880] Speed: 116.016018 samples/sec accuracy=43.295898 loss=2.483883 lr=0.080949 Epoch[073] Batch [0849]/[1880] Speed: 103.614868 samples/sec accuracy=43.281250 loss=2.486297 lr=0.080930 Epoch[073] Batch [0899]/[1880] Speed: 117.117692 samples/sec accuracy=43.250868 loss=2.489508 lr=0.080911 Epoch[073] Batch [0949]/[1880] Speed: 102.509459 samples/sec accuracy=43.282895 loss=2.489324 lr=0.080892 Epoch[073] Batch [0999]/[1880] Speed: 115.681937 samples/sec accuracy=43.237500 loss=2.492092 lr=0.080873 Epoch[073] Batch [1049]/[1880] Speed: 103.317430 samples/sec accuracy=43.221726 loss=2.491637 lr=0.080854 Epoch[073] Batch [1099]/[1880] Speed: 115.234885 samples/sec accuracy=43.214489 loss=2.492639 lr=0.080834 Epoch[073] Batch [1149]/[1880] Speed: 117.770427 samples/sec accuracy=43.125679 loss=2.496741 lr=0.080815 Epoch[073] Batch [1199]/[1880] Speed: 102.147943 samples/sec accuracy=43.154297 loss=2.496714 lr=0.080796 Epoch[073] Batch [1249]/[1880] Speed: 117.701982 samples/sec accuracy=43.148125 loss=2.496201 lr=0.080777 Epoch[073] Batch [1299]/[1880] Speed: 102.663246 samples/sec accuracy=43.093750 loss=2.497727 lr=0.080758 Epoch[073] Batch [1349]/[1880] Speed: 113.191695 samples/sec accuracy=43.063079 loss=2.499913 lr=0.080739 Epoch[073] Batch [1399]/[1880] Speed: 102.605119 samples/sec accuracy=43.037388 loss=2.501114 lr=0.080720 Epoch[073] Batch [1449]/[1880] Speed: 115.583385 samples/sec accuracy=43.016164 loss=2.502167 lr=0.080700 Epoch[073] Batch [1499]/[1880] Speed: 110.047231 samples/sec accuracy=43.029167 loss=2.502669 lr=0.080681 Epoch[073] Batch [1549]/[1880] Speed: 107.945422 samples/sec accuracy=43.044355 loss=2.501882 lr=0.080662 Epoch[073] Batch [1599]/[1880] Speed: 113.923589 samples/sec accuracy=43.018555 loss=2.503786 lr=0.080643 Epoch[073] Batch [1649]/[1880] Speed: 103.718041 samples/sec accuracy=42.973958 loss=2.506145 lr=0.080624 Epoch[073] Batch [1699]/[1880] Speed: 115.204055 samples/sec accuracy=42.939338 loss=2.506720 lr=0.080604 Epoch[073] Batch [1749]/[1880] Speed: 103.213626 samples/sec accuracy=42.906696 loss=2.508738 lr=0.080585 Epoch[073] Batch [1799]/[1880] Speed: 115.809098 samples/sec accuracy=42.915799 loss=2.508427 lr=0.080566 Epoch[073] Batch [1849]/[1880] Speed: 106.475594 samples/sec accuracy=42.907939 loss=2.509079 lr=0.080547 Batch [0049]/[0151]: acc-top1=40.968750 acc-top5=66.921875 Batch [0099]/[0151]: acc-top1=44.921875 acc-top5=69.718750 Batch [0149]/[0151]: acc-top1=43.125000 acc-top5=69.161458 [Epoch 073] training: accuracy=42.925116 loss=2.508436 [Epoch 073] speed: 108 samples/sec time cost: 2404.229111 [Epoch 073] validation: acc-top1=43.046358 acc-top5=69.106995 loss=2.564761 Epoch[074] Batch [0049]/[1880] Speed: 76.079249 samples/sec accuracy=42.593750 loss=2.495585 lr=0.080516 Epoch[074] Batch [0099]/[1880] Speed: 112.817609 samples/sec accuracy=43.281250 loss=2.475051 lr=0.080497 Epoch[074] Batch [0149]/[1880] Speed: 109.285869 samples/sec accuracy=43.213542 loss=2.475890 lr=0.080477 Epoch[074] Batch [0199]/[1880] Speed: 107.430928 samples/sec accuracy=43.210938 loss=2.478033 lr=0.080458 Epoch[074] Batch [0249]/[1880] Speed: 112.161617 samples/sec accuracy=43.362500 loss=2.471907 lr=0.080439 Epoch[074] Batch [0299]/[1880] Speed: 106.379105 samples/sec accuracy=43.289062 loss=2.479059 lr=0.080420 Epoch[074] Batch [0349]/[1880] Speed: 112.557219 samples/sec accuracy=43.254464 loss=2.481885 lr=0.080400 Epoch[074] Batch [0399]/[1880] Speed: 105.225137 samples/sec accuracy=43.238281 loss=2.481414 lr=0.080381 Epoch[074] Batch [0449]/[1880] Speed: 116.943983 samples/sec accuracy=43.157986 loss=2.485547 lr=0.080362 Epoch[074] Batch [0499]/[1880] Speed: 103.081424 samples/sec accuracy=43.201563 loss=2.487261 lr=0.080342 Epoch[074] Batch [0549]/[1880] Speed: 113.753099 samples/sec accuracy=43.250000 loss=2.489750 lr=0.080323 Epoch[074] Batch [0599]/[1880] Speed: 110.475034 samples/sec accuracy=43.248698 loss=2.490641 lr=0.080304 Epoch[074] Batch [0649]/[1880] Speed: 108.619749 samples/sec accuracy=43.224760 loss=2.492647 lr=0.080284 Epoch[074] Batch [0699]/[1880] Speed: 109.429775 samples/sec accuracy=43.224330 loss=2.491578 lr=0.080265 Epoch[074] Batch [0749]/[1880] Speed: 110.661410 samples/sec accuracy=43.184375 loss=2.491997 lr=0.080246 Epoch[074] Batch [0799]/[1880] Speed: 109.210470 samples/sec accuracy=43.186523 loss=2.492102 lr=0.080226 Epoch[074] Batch [0849]/[1880] Speed: 110.465699 samples/sec accuracy=43.170037 loss=2.491824 lr=0.080207 Epoch[074] Batch [0899]/[1880] Speed: 111.708001 samples/sec accuracy=43.118056 loss=2.495727 lr=0.080188 Epoch[074] Batch [0949]/[1880] Speed: 107.274372 samples/sec accuracy=43.076480 loss=2.498025 lr=0.080168 Epoch[074] Batch [0999]/[1880] Speed: 112.560820 samples/sec accuracy=43.056250 loss=2.499365 lr=0.080149 Epoch[074] Batch [1049]/[1880] Speed: 105.378797 samples/sec accuracy=43.041667 loss=2.498832 lr=0.080129 Epoch[074] Batch [1099]/[1880] Speed: 114.944023 samples/sec accuracy=42.999290 loss=2.502265 lr=0.080110 Epoch[074] Batch [1149]/[1880] Speed: 104.927670 samples/sec accuracy=43.010870 loss=2.502730 lr=0.080091 Epoch[074] Batch [1199]/[1880] Speed: 114.210239 samples/sec accuracy=42.973958 loss=2.503807 lr=0.080071 Epoch[074] Batch [1249]/[1880] Speed: 109.411991 samples/sec accuracy=42.936250 loss=2.506075 lr=0.080052 Epoch[074] Batch [1299]/[1880] Speed: 109.341546 samples/sec accuracy=42.921875 loss=2.505053 lr=0.080032 Epoch[074] Batch [1349]/[1880] Speed: 114.807106 samples/sec accuracy=42.923611 loss=2.506397 lr=0.080013 Epoch[074] Batch [1399]/[1880] Speed: 104.863591 samples/sec accuracy=42.922991 loss=2.506528 lr=0.079993 Epoch[074] Batch [1449]/[1880] Speed: 115.781916 samples/sec accuracy=42.917565 loss=2.506813 lr=0.079974 Epoch[074] Batch [1499]/[1880] Speed: 103.605846 samples/sec accuracy=42.898958 loss=2.509068 lr=0.079955 Epoch[074] Batch [1549]/[1880] Speed: 112.323041 samples/sec accuracy=42.908770 loss=2.508894 lr=0.079935 Epoch[074] Batch [1599]/[1880] Speed: 105.793586 samples/sec accuracy=42.924805 loss=2.508687 lr=0.079916 Epoch[074] Batch [1649]/[1880] Speed: 114.393962 samples/sec accuracy=42.946496 loss=2.507374 lr=0.079896 Epoch[074] Batch [1699]/[1880] Speed: 108.490728 samples/sec accuracy=42.953585 loss=2.506802 lr=0.079877 Epoch[074] Batch [1749]/[1880] Speed: 107.475442 samples/sec accuracy=42.950000 loss=2.506882 lr=0.079857 Epoch[074] Batch [1799]/[1880] Speed: 116.772031 samples/sec accuracy=42.926215 loss=2.507879 lr=0.079838 Epoch[074] Batch [1849]/[1880] Speed: 102.127641 samples/sec accuracy=42.929899 loss=2.508090 lr=0.079818 Batch [0049]/[0151]: acc-top1=38.015625 acc-top5=64.546875 Batch [0099]/[0151]: acc-top1=42.078125 acc-top5=67.460938 Batch [0149]/[0151]: acc-top1=40.781250 acc-top5=67.026042 [Epoch 074] training: accuracy=42.926779 loss=2.507982 [Epoch 074] speed: 109 samples/sec time cost: 2404.226641 [Epoch 074] validation: acc-top1=40.738825 acc-top5=66.975373 loss=2.691321 Epoch[075] Batch [0049]/[1879] Speed: 75.903189 samples/sec accuracy=44.437500 loss=2.479858 lr=0.079787 Epoch[075] Batch [0099]/[1879] Speed: 115.288958 samples/sec accuracy=44.320312 loss=2.466891 lr=0.079767 Epoch[075] Batch [0149]/[1879] Speed: 113.974649 samples/sec accuracy=44.177083 loss=2.473112 lr=0.079748 Epoch[075] Batch [0199]/[1879] Speed: 101.437436 samples/sec accuracy=44.214844 loss=2.467685 lr=0.079728 Epoch[075] Batch [0249]/[1879] Speed: 115.591528 samples/sec accuracy=44.178125 loss=2.462422 lr=0.079709 Epoch[075] Batch [0299]/[1879] Speed: 104.521572 samples/sec accuracy=44.145833 loss=2.463555 lr=0.079689 Epoch[075] Batch [0349]/[1879] Speed: 113.566183 samples/sec accuracy=44.122768 loss=2.462721 lr=0.079670 Epoch[075] Batch [0399]/[1879] Speed: 114.750421 samples/sec accuracy=43.988281 loss=2.467228 lr=0.079650 Epoch[075] Batch [0449]/[1879] Speed: 104.569576 samples/sec accuracy=43.989583 loss=2.467016 lr=0.079631 Epoch[075] Batch [0499]/[1879] Speed: 112.740751 samples/sec accuracy=43.978125 loss=2.469259 lr=0.079611 Epoch[075] Batch [0549]/[1879] Speed: 106.501627 samples/sec accuracy=43.946023 loss=2.468509 lr=0.079591 Epoch[075] Batch [0599]/[1879] Speed: 113.176595 samples/sec accuracy=43.821615 loss=2.470890 lr=0.079572 Epoch[075] Batch [0649]/[1879] Speed: 106.380637 samples/sec accuracy=43.741587 loss=2.475364 lr=0.079552 Epoch[075] Batch [0699]/[1879] Speed: 110.829709 samples/sec accuracy=43.727679 loss=2.475440 lr=0.079533 Epoch[075] Batch [0749]/[1879] Speed: 109.973347 samples/sec accuracy=43.658333 loss=2.477747 lr=0.079513 Epoch[075] Batch [0799]/[1879] Speed: 107.695805 samples/sec accuracy=43.565430 loss=2.482106 lr=0.079493 Epoch[075] Batch 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accuracy=43.468149 loss=2.485460 lr=0.079297 Epoch[075] Batch [1349]/[1879] Speed: 108.454959 samples/sec accuracy=43.464699 loss=2.485733 lr=0.079277 Epoch[075] Batch [1399]/[1879] Speed: 110.370625 samples/sec accuracy=43.460379 loss=2.486094 lr=0.079257 Epoch[075] Batch [1449]/[1879] Speed: 114.842952 samples/sec accuracy=43.419720 loss=2.488636 lr=0.079238 Epoch[075] Batch [1499]/[1879] Speed: 105.071019 samples/sec accuracy=43.415104 loss=2.489035 lr=0.079218 Epoch[075] Batch [1549]/[1879] Speed: 113.439293 samples/sec accuracy=43.397177 loss=2.490001 lr=0.079198 Epoch[075] Batch [1599]/[1879] Speed: 103.863522 samples/sec accuracy=43.364746 loss=2.491253 lr=0.079179 Epoch[075] Batch [1649]/[1879] Speed: 115.142826 samples/sec accuracy=43.339489 loss=2.492791 lr=0.079159 Epoch[075] Batch [1699]/[1879] Speed: 106.855903 samples/sec accuracy=43.337316 loss=2.493639 lr=0.079139 Epoch[075] Batch [1749]/[1879] Speed: 113.141927 samples/sec accuracy=43.343750 loss=2.493997 lr=0.079119 Epoch[075] Batch [1799]/[1879] Speed: 111.620183 samples/sec accuracy=43.329427 loss=2.495573 lr=0.079100 Epoch[075] Batch [1849]/[1879] Speed: 107.363864 samples/sec accuracy=43.315878 loss=2.496948 lr=0.079080 Batch [0049]/[0151]: acc-top1=39.109375 acc-top5=64.468750 Batch [0099]/[0151]: acc-top1=43.875000 acc-top5=68.148438 Batch [0149]/[0151]: acc-top1=42.531250 acc-top5=67.692708 [Epoch 075] training: accuracy=43.315510 loss=2.497374 [Epoch 075] speed: 109 samples/sec time cost: 2400.719871 [Epoch 075] validation: acc-top1=42.430671 acc-top5=67.642798 loss=2.582967 Epoch[076] Batch [0049]/[1880] Speed: 75.275076 samples/sec accuracy=43.750000 loss=2.458724 lr=0.079049 Epoch[076] Batch [0099]/[1880] Speed: 115.323017 samples/sec accuracy=43.562500 loss=2.468082 lr=0.079029 Epoch[076] Batch [0149]/[1880] Speed: 109.760462 samples/sec accuracy=43.604167 loss=2.468862 lr=0.079009 Epoch[076] Batch [0199]/[1880] Speed: 108.104542 samples/sec accuracy=43.398438 loss=2.475557 lr=0.078989 Epoch[076] Batch [0249]/[1880] Speed: 108.641852 samples/sec accuracy=43.350000 loss=2.488237 lr=0.078969 Epoch[076] Batch [0299]/[1880] Speed: 113.575333 samples/sec accuracy=43.505208 loss=2.481592 lr=0.078950 Epoch[076] Batch [0349]/[1880] Speed: 109.566612 samples/sec accuracy=43.479911 loss=2.484047 lr=0.078930 Epoch[076] Batch [0399]/[1880] Speed: 109.984248 samples/sec accuracy=43.488281 loss=2.480576 lr=0.078910 Epoch[076] Batch [0449]/[1880] Speed: 109.906417 samples/sec accuracy=43.489583 loss=2.481572 lr=0.078890 Epoch[076] Batch [0499]/[1880] Speed: 107.243551 samples/sec accuracy=43.484375 loss=2.481753 lr=0.078870 Epoch[076] Batch [0549]/[1880] Speed: 108.417379 samples/sec accuracy=43.484375 loss=2.483780 lr=0.078850 Epoch[076] Batch [0599]/[1880] Speed: 116.232855 samples/sec accuracy=43.394531 loss=2.486659 lr=0.078831 Epoch[076] Batch [0649]/[1880] Speed: 103.897575 samples/sec accuracy=43.389423 loss=2.484685 lr=0.078811 Epoch[076] Batch [0699]/[1880] Speed: 113.754823 samples/sec accuracy=43.377232 loss=2.485531 lr=0.078791 Epoch[076] Batch [0749]/[1880] Speed: 111.562411 samples/sec accuracy=43.485417 loss=2.484438 lr=0.078771 Epoch[076] Batch [0799]/[1880] Speed: 107.033620 samples/sec accuracy=43.436523 loss=2.488483 lr=0.078751 Epoch[076] Batch [0849]/[1880] Speed: 108.453595 samples/sec accuracy=43.477022 loss=2.486564 lr=0.078731 Epoch[076] Batch [0899]/[1880] Speed: 109.332190 samples/sec accuracy=43.529514 loss=2.486579 lr=0.078711 Epoch[076] Batch [0949]/[1880] Speed: 110.547609 samples/sec accuracy=43.546053 loss=2.485424 lr=0.078691 Epoch[076] Batch [0999]/[1880] Speed: 108.715412 samples/sec accuracy=43.525000 loss=2.486242 lr=0.078671 Epoch[076] Batch [1049]/[1880] Speed: 114.218791 samples/sec accuracy=43.534970 loss=2.487224 lr=0.078652 Epoch[076] Batch [1099]/[1880] Speed: 106.159771 samples/sec accuracy=43.551136 loss=2.486901 lr=0.078632 Epoch[076] Batch [1149]/[1880] Speed: 111.923371 samples/sec accuracy=43.523777 loss=2.488177 lr=0.078612 Epoch[076] Batch [1199]/[1880] Speed: 106.557681 samples/sec accuracy=43.434896 loss=2.490839 lr=0.078592 Epoch[076] Batch [1249]/[1880] Speed: 111.881018 samples/sec accuracy=43.452500 loss=2.489916 lr=0.078572 Epoch[076] Batch [1299]/[1880] Speed: 110.289908 samples/sec accuracy=43.432091 loss=2.489871 lr=0.078552 Epoch[076] Batch [1349]/[1880] Speed: 107.760558 samples/sec accuracy=43.414352 loss=2.491244 lr=0.078532 Epoch[076] Batch [1399]/[1880] Speed: 113.768743 samples/sec accuracy=43.409598 loss=2.492124 lr=0.078512 Epoch[076] Batch [1449]/[1880] Speed: 104.694749 samples/sec accuracy=43.367996 loss=2.493016 lr=0.078492 Epoch[076] Batch [1499]/[1880] Speed: 111.921185 samples/sec accuracy=43.342708 loss=2.493530 lr=0.078472 Epoch[076] Batch [1549]/[1880] Speed: 111.109837 samples/sec accuracy=43.348286 loss=2.492659 lr=0.078452 Epoch[076] Batch [1599]/[1880] Speed: 104.762891 samples/sec accuracy=43.371094 loss=2.491985 lr=0.078432 Epoch[076] Batch [1649]/[1880] Speed: 118.074052 samples/sec accuracy=43.361269 loss=2.492257 lr=0.078412 Epoch[076] Batch [1699]/[1880] Speed: 106.975145 samples/sec accuracy=43.361673 loss=2.491562 lr=0.078392 Epoch[076] Batch [1749]/[1880] Speed: 109.561162 samples/sec accuracy=43.364286 loss=2.491558 lr=0.078372 Epoch[076] Batch [1799]/[1880] Speed: 110.571981 samples/sec accuracy=43.353733 loss=2.492248 lr=0.078352 Epoch[076] Batch [1849]/[1880] Speed: 106.816845 samples/sec accuracy=43.368666 loss=2.492538 lr=0.078332 Batch [0049]/[0151]: acc-top1=38.828125 acc-top5=65.281250 Batch [0099]/[0151]: acc-top1=43.718750 acc-top5=69.007812 Batch [0149]/[0151]: acc-top1=42.838542 acc-top5=69.114583 [Epoch 076] training: accuracy=43.375582 loss=2.492250 [Epoch 076] speed: 109 samples/sec time cost: 2402.736336 [Epoch 076] validation: acc-top1=42.777318 acc-top5=69.096647 loss=2.557558 Epoch[077] Batch [0049]/[1880] Speed: 76.196577 samples/sec accuracy=44.687500 loss=2.436707 lr=0.078300 Epoch[077] Batch 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accuracy=43.842330 loss=2.456644 lr=0.078099 Epoch[077] Batch [0599]/[1880] Speed: 112.697478 samples/sec accuracy=43.769531 loss=2.459424 lr=0.078079 Epoch[077] Batch [0649]/[1880] Speed: 107.712539 samples/sec accuracy=43.662260 loss=2.465019 lr=0.078059 Epoch[077] Batch [0699]/[1880] Speed: 112.648195 samples/sec accuracy=43.638393 loss=2.466899 lr=0.078039 Epoch[077] Batch [0749]/[1880] Speed: 106.099655 samples/sec accuracy=43.573958 loss=2.469485 lr=0.078019 Epoch[077] Batch [0799]/[1880] Speed: 112.084377 samples/sec accuracy=43.614258 loss=2.467933 lr=0.077999 Epoch[077] Batch [0849]/[1880] Speed: 110.075902 samples/sec accuracy=43.621324 loss=2.468061 lr=0.077979 Epoch[077] Batch [0899]/[1880] Speed: 105.312923 samples/sec accuracy=43.573785 loss=2.470822 lr=0.077958 Epoch[077] Batch [0949]/[1880] Speed: 111.713956 samples/sec accuracy=43.474507 loss=2.475096 lr=0.077938 Epoch[077] Batch [0999]/[1880] Speed: 108.320553 samples/sec accuracy=43.510156 loss=2.473986 lr=0.077918 Epoch[077] Batch [1049]/[1880] Speed: 113.431617 samples/sec accuracy=43.539435 loss=2.473525 lr=0.077898 Epoch[077] Batch [1099]/[1880] Speed: 104.859170 samples/sec accuracy=43.528409 loss=2.473307 lr=0.077878 Epoch[077] Batch [1149]/[1880] Speed: 116.939998 samples/sec accuracy=43.529891 loss=2.472728 lr=0.077858 Epoch[077] Batch [1199]/[1880] Speed: 102.320480 samples/sec accuracy=43.518229 loss=2.473401 lr=0.077837 Epoch[077] Batch [1249]/[1880] Speed: 113.738466 samples/sec accuracy=43.537500 loss=2.473418 lr=0.077817 Epoch[077] Batch [1299]/[1880] Speed: 109.519129 samples/sec accuracy=43.503005 loss=2.475670 lr=0.077797 Epoch[077] Batch [1349]/[1880] Speed: 111.804350 samples/sec accuracy=43.487269 loss=2.476075 lr=0.077777 Epoch[077] Batch [1399]/[1880] Speed: 109.414395 samples/sec accuracy=43.501116 loss=2.476884 lr=0.077757 Epoch[077] Batch [1449]/[1880] Speed: 108.609599 samples/sec accuracy=43.499461 loss=2.477916 lr=0.077736 Epoch[077] Batch [1499]/[1880] Speed: 116.220417 samples/sec accuracy=43.496354 loss=2.478805 lr=0.077716 Epoch[077] Batch [1549]/[1880] Speed: 103.021126 samples/sec accuracy=43.482863 loss=2.478858 lr=0.077696 Epoch[077] Batch [1599]/[1880] Speed: 117.249533 samples/sec accuracy=43.482910 loss=2.479986 lr=0.077676 Epoch[077] Batch [1649]/[1880] Speed: 102.995035 samples/sec accuracy=43.434659 loss=2.482196 lr=0.077656 Epoch[077] Batch [1699]/[1880] Speed: 117.247949 samples/sec accuracy=43.432445 loss=2.482253 lr=0.077635 Epoch[077] Batch [1749]/[1880] Speed: 103.535320 samples/sec accuracy=43.396875 loss=2.483901 lr=0.077615 Epoch[077] Batch [1799]/[1880] Speed: 115.288949 samples/sec accuracy=43.416667 loss=2.483343 lr=0.077595 Epoch[077] Batch [1849]/[1880] Speed: 104.836875 samples/sec accuracy=43.444257 loss=2.482728 lr=0.077574 Batch [0049]/[0151]: acc-top1=37.609375 acc-top5=63.562500 Batch [0099]/[0151]: acc-top1=42.359375 acc-top5=67.328125 Batch [0149]/[0151]: acc-top1=40.723958 acc-top5=66.734375 [Epoch 077] training: accuracy=43.432098 loss=2.482948 [Epoch 077] speed: 109 samples/sec time cost: 2401.930070 [Epoch 077] validation: acc-top1=40.697434 acc-top5=66.716680 loss=2.690062 Epoch[078] Batch [0049]/[1880] Speed: 77.641362 samples/sec accuracy=45.187500 loss=2.395303 lr=0.077542 Epoch[078] Batch [0099]/[1880] Speed: 112.564447 samples/sec accuracy=44.773438 loss=2.423757 lr=0.077522 Epoch[078] Batch [0149]/[1880] Speed: 108.304881 samples/sec accuracy=44.250000 loss=2.445875 lr=0.077501 Epoch[078] Batch [0199]/[1880] Speed: 107.555397 samples/sec accuracy=44.246094 loss=2.442489 lr=0.077481 Epoch[078] Batch [0249]/[1880] Speed: 113.599759 samples/sec accuracy=44.178125 loss=2.445413 lr=0.077461 Epoch[078] Batch [0299]/[1880] Speed: 103.590329 samples/sec accuracy=43.914062 loss=2.455584 lr=0.077441 Epoch[078] Batch [0349]/[1880] Speed: 115.022025 samples/sec accuracy=43.868304 loss=2.455324 lr=0.077420 Epoch[078] Batch [0399]/[1880] Speed: 112.928302 samples/sec accuracy=43.769531 loss=2.461279 lr=0.077400 Epoch[078] Batch [0449]/[1880] Speed: 105.632866 samples/sec accuracy=43.782986 loss=2.463583 lr=0.077380 Epoch[078] Batch [0499]/[1880] Speed: 113.664077 samples/sec accuracy=43.792188 loss=2.461656 lr=0.077359 Epoch[078] Batch [0549]/[1880] Speed: 103.556524 samples/sec accuracy=43.823864 loss=2.462006 lr=0.077339 Epoch[078] Batch [0599]/[1880] Speed: 115.555690 samples/sec accuracy=43.794271 loss=2.464121 lr=0.077319 Epoch[078] Batch [0649]/[1880] Speed: 107.316649 samples/sec accuracy=43.831731 loss=2.461754 lr=0.077298 Epoch[078] Batch [0699]/[1880] Speed: 107.041515 samples/sec accuracy=43.768973 loss=2.462987 lr=0.077278 Epoch[078] Batch [0749]/[1880] Speed: 112.296213 samples/sec accuracy=43.738542 loss=2.466577 lr=0.077257 Epoch[078] Batch [0799]/[1880] Speed: 105.095980 samples/sec accuracy=43.738281 loss=2.468574 lr=0.077237 Epoch[078] Batch [0849]/[1880] Speed: 111.310881 samples/sec accuracy=43.691176 loss=2.470741 lr=0.077217 Epoch[078] Batch 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accuracy=43.517940 loss=2.478065 lr=0.077013 Epoch[078] Batch [1399]/[1880] Speed: 106.322432 samples/sec accuracy=43.557478 loss=2.476660 lr=0.076992 Epoch[078] Batch [1449]/[1880] Speed: 111.956494 samples/sec accuracy=43.586746 loss=2.476403 lr=0.076972 Epoch[078] Batch [1499]/[1880] Speed: 109.711685 samples/sec accuracy=43.596875 loss=2.476575 lr=0.076951 Epoch[078] Batch [1549]/[1880] Speed: 106.311274 samples/sec accuracy=43.597782 loss=2.477431 lr=0.076931 Epoch[078] Batch [1599]/[1880] Speed: 114.120589 samples/sec accuracy=43.606934 loss=2.476739 lr=0.076910 Epoch[078] Batch [1649]/[1880] Speed: 105.319388 samples/sec accuracy=43.598011 loss=2.475957 lr=0.076890 Epoch[078] Batch [1699]/[1880] Speed: 113.342793 samples/sec accuracy=43.607996 loss=2.476279 lr=0.076869 Epoch[078] Batch [1749]/[1880] Speed: 107.198172 samples/sec accuracy=43.575893 loss=2.477878 lr=0.076849 Epoch[078] Batch [1799]/[1880] Speed: 113.464370 samples/sec accuracy=43.572483 loss=2.478656 lr=0.076828 Epoch[078] Batch [1849]/[1880] Speed: 109.504378 samples/sec accuracy=43.584037 loss=2.477611 lr=0.076808 Batch [0049]/[0151]: acc-top1=41.093750 acc-top5=66.468750 Batch [0099]/[0151]: acc-top1=45.039062 acc-top5=69.343750 Batch [0149]/[0151]: acc-top1=43.640625 acc-top5=69.166667 [Epoch 078] training: accuracy=43.594581 loss=2.476596 [Epoch 078] speed: 109 samples/sec time cost: 2403.542655 [Epoch 078] validation: acc-top1=43.579263 acc-top5=69.101821 loss=2.532615 Epoch[079] Batch [0049]/[1880] Speed: 74.503318 samples/sec accuracy=43.953125 loss=2.453248 lr=0.076775 Epoch[079] Batch [0099]/[1880] Speed: 116.559262 samples/sec accuracy=44.054688 loss=2.447526 lr=0.076754 Epoch[079] Batch [0149]/[1880] Speed: 104.874194 samples/sec accuracy=43.880208 loss=2.457075 lr=0.076734 Epoch[079] Batch [0199]/[1880] Speed: 112.556179 samples/sec accuracy=44.007812 loss=2.454386 lr=0.076713 Epoch[079] Batch [0249]/[1880] Speed: 111.754118 samples/sec accuracy=44.212500 loss=2.450048 lr=0.076693 Epoch[079] Batch [0299]/[1880] Speed: 107.484838 samples/sec accuracy=44.164062 loss=2.449448 lr=0.076672 Epoch[079] Batch [0349]/[1880] Speed: 109.003812 samples/sec accuracy=44.308036 loss=2.440710 lr=0.076652 Epoch[079] Batch [0399]/[1880] Speed: 109.667656 samples/sec accuracy=44.402344 loss=2.438591 lr=0.076631 Epoch[079] Batch [0449]/[1880] Speed: 109.128491 samples/sec accuracy=44.493056 loss=2.436230 lr=0.076610 Epoch[079] Batch [0499]/[1880] Speed: 109.999653 samples/sec accuracy=44.425000 loss=2.438257 lr=0.076590 Epoch[079] Batch [0549]/[1880] Speed: 108.400069 samples/sec accuracy=44.332386 loss=2.443552 lr=0.076569 Epoch[079] Batch [0599]/[1880] Speed: 113.668225 samples/sec accuracy=44.240885 loss=2.448165 lr=0.076549 Epoch[079] Batch [0649]/[1880] Speed: 103.610525 samples/sec accuracy=44.237981 loss=2.449059 lr=0.076528 Epoch[079] Batch [0699]/[1880] Speed: 116.252542 samples/sec accuracy=44.242188 loss=2.451103 lr=0.076508 Epoch[079] Batch [0749]/[1880] Speed: 108.211129 samples/sec accuracy=44.186458 loss=2.451969 lr=0.076487 Epoch[079] Batch [0799]/[1880] Speed: 109.277465 samples/sec accuracy=44.234375 loss=2.450642 lr=0.076466 Epoch[079] Batch [0849]/[1880] Speed: 109.883164 samples/sec accuracy=44.210478 loss=2.451442 lr=0.076446 Epoch[079] Batch [0899]/[1880] Speed: 107.879685 samples/sec accuracy=44.173611 loss=2.454688 lr=0.076425 Epoch[079] Batch [0949]/[1880] Speed: 112.295528 samples/sec accuracy=44.133224 loss=2.456243 lr=0.076404 Epoch[079] Batch [0999]/[1880] Speed: 109.316555 samples/sec accuracy=44.104687 loss=2.457875 lr=0.076384 Epoch[079] Batch [1049]/[1880] Speed: 109.054333 samples/sec accuracy=44.078869 loss=2.459395 lr=0.076363 Epoch[079] Batch [1099]/[1880] Speed: 110.926496 samples/sec accuracy=44.054688 loss=2.459183 lr=0.076342 Epoch[079] Batch [1149]/[1880] Speed: 105.739383 samples/sec accuracy=44.048913 loss=2.458077 lr=0.076322 Epoch[079] Batch [1199]/[1880] Speed: 117.732210 samples/sec accuracy=44.029297 loss=2.459644 lr=0.076301 Epoch[079] Batch [1249]/[1880] Speed: 104.313240 samples/sec accuracy=44.012500 loss=2.460019 lr=0.076280 Epoch[079] Batch [1299]/[1880] Speed: 113.198552 samples/sec accuracy=44.038462 loss=2.459689 lr=0.076260 Epoch[079] Batch [1349]/[1880] Speed: 106.720960 samples/sec accuracy=44.036458 loss=2.459515 lr=0.076239 Epoch[079] Batch [1399]/[1880] Speed: 111.491766 samples/sec accuracy=44.047991 loss=2.459550 lr=0.076218 Epoch[079] Batch [1449]/[1880] Speed: 111.117983 samples/sec accuracy=44.065733 loss=2.458321 lr=0.076198 Epoch[079] Batch [1499]/[1880] Speed: 108.220575 samples/sec accuracy=44.052083 loss=2.459732 lr=0.076177 Epoch[079] Batch [1549]/[1880] Speed: 111.359905 samples/sec accuracy=44.016633 loss=2.461059 lr=0.076156 Epoch[079] Batch [1599]/[1880] Speed: 107.300680 samples/sec accuracy=44.010742 loss=2.461989 lr=0.076136 Epoch[079] Batch [1649]/[1880] Speed: 111.993037 samples/sec accuracy=44.009943 loss=2.460745 lr=0.076115 Epoch[079] Batch [1699]/[1880] Speed: 105.998250 samples/sec accuracy=43.986673 loss=2.461298 lr=0.076094 Epoch[079] Batch [1749]/[1880] Speed: 114.107177 samples/sec accuracy=43.956250 loss=2.462752 lr=0.076073 Epoch[079] Batch [1799]/[1880] Speed: 104.956162 samples/sec accuracy=43.914497 loss=2.463684 lr=0.076053 Epoch[079] Batch [1849]/[1880] Speed: 114.050660 samples/sec accuracy=43.902449 loss=2.464345 lr=0.076032 Batch [0049]/[0151]: acc-top1=40.812500 acc-top5=67.546875 Batch [0099]/[0151]: acc-top1=43.843750 acc-top5=69.460938 Batch [0149]/[0151]: acc-top1=42.890625 acc-top5=69.020833 [Epoch 079] training: accuracy=43.873836 loss=2.465889 [Epoch 079] speed: 108 samples/sec time cost: 2404.928504 [Epoch 079] validation: acc-top1=42.823882 acc-top5=68.987997 loss=2.555073 Epoch[080] Batch [0049]/[1880] Speed: 75.971965 samples/sec accuracy=43.968750 loss=2.466270 lr=0.075999 Epoch[080] Batch [0099]/[1880] Speed: 116.065594 samples/sec accuracy=44.554688 loss=2.451748 lr=0.075978 Epoch[080] Batch [0149]/[1880] Speed: 104.585181 samples/sec accuracy=44.906250 loss=2.429190 lr=0.075957 Epoch[080] Batch [0199]/[1880] Speed: 115.291247 samples/sec accuracy=44.878906 loss=2.417587 lr=0.075936 Epoch[080] Batch [0249]/[1880] Speed: 107.498781 samples/sec accuracy=44.593750 loss=2.423327 lr=0.075916 Epoch[080] Batch [0299]/[1880] Speed: 107.899649 samples/sec accuracy=44.205729 loss=2.438214 lr=0.075895 Epoch[080] Batch [0349]/[1880] Speed: 118.131630 samples/sec accuracy=44.147321 loss=2.441181 lr=0.075874 Epoch[080] Batch [0399]/[1880] Speed: 102.575535 samples/sec accuracy=44.269531 loss=2.435386 lr=0.075853 Epoch[080] Batch [0449]/[1880] Speed: 118.398604 samples/sec accuracy=44.315972 loss=2.434824 lr=0.075832 Epoch[080] Batch [0499]/[1880] Speed: 101.579796 samples/sec accuracy=44.246875 loss=2.438677 lr=0.075812 Epoch[080] Batch [0549]/[1880] Speed: 113.341171 samples/sec accuracy=44.193182 loss=2.441377 lr=0.075791 Epoch[080] Batch [0599]/[1880] Speed: 107.630936 samples/sec accuracy=44.191406 loss=2.440850 lr=0.075770 Epoch[080] Batch [0649]/[1880] Speed: 111.022237 samples/sec accuracy=44.165865 loss=2.442814 lr=0.075749 Epoch[080] Batch [0699]/[1880] Speed: 110.540771 samples/sec accuracy=44.064732 loss=2.445713 lr=0.075728 Epoch[080] Batch [0749]/[1880] Speed: 111.897705 samples/sec accuracy=44.012500 loss=2.448323 lr=0.075708 Epoch[080] Batch [0799]/[1880] Speed: 105.287006 samples/sec accuracy=44.007812 loss=2.447719 lr=0.075687 Epoch[080] Batch [0849]/[1880] Speed: 114.451475 samples/sec accuracy=44.031250 loss=2.444948 lr=0.075666 Epoch[080] Batch [0899]/[1880] Speed: 111.935116 samples/sec accuracy=44.058160 loss=2.444138 lr=0.075645 Epoch[080] Batch [0949]/[1880] Speed: 106.971945 samples/sec accuracy=44.041941 loss=2.445095 lr=0.075624 Epoch[080] Batch [0999]/[1880] Speed: 116.440995 samples/sec accuracy=43.972656 loss=2.450539 lr=0.075603 Epoch[080] Batch [1049]/[1880] Speed: 102.315937 samples/sec accuracy=43.960565 loss=2.450842 lr=0.075582 Epoch[080] Batch [1099]/[1880] Speed: 116.974028 samples/sec accuracy=43.949574 loss=2.451061 lr=0.075561 Epoch[080] Batch [1149]/[1880] Speed: 103.282352 samples/sec accuracy=43.963315 loss=2.452874 lr=0.075541 Epoch[080] Batch [1199]/[1880] Speed: 115.060037 samples/sec accuracy=43.959635 loss=2.453901 lr=0.075520 Epoch[080] Batch [1249]/[1880] Speed: 103.610255 samples/sec accuracy=43.947500 loss=2.454484 lr=0.075499 Epoch[080] Batch [1299]/[1880] Speed: 116.794489 samples/sec accuracy=43.894832 loss=2.456522 lr=0.075478 Epoch[080] Batch [1349]/[1880] Speed: 106.665104 samples/sec accuracy=43.913194 loss=2.455632 lr=0.075457 Epoch[080] Batch [1399]/[1880] Speed: 111.424811 samples/sec accuracy=43.946987 loss=2.455128 lr=0.075436 Epoch[080] Batch [1449]/[1880] Speed: 111.965176 samples/sec accuracy=43.930496 loss=2.456231 lr=0.075415 Epoch[080] Batch [1499]/[1880] Speed: 107.487978 samples/sec accuracy=43.915104 loss=2.457259 lr=0.075394 Epoch[080] Batch [1549]/[1880] Speed: 111.745944 samples/sec accuracy=43.913810 loss=2.456781 lr=0.075373 Epoch[080] Batch [1599]/[1880] Speed: 107.595155 samples/sec accuracy=43.899414 loss=2.457997 lr=0.075352 Epoch[080] Batch [1649]/[1880] Speed: 109.575324 samples/sec accuracy=43.878788 loss=2.458846 lr=0.075331 Epoch[080] Batch [1699]/[1880] Speed: 112.656112 samples/sec accuracy=43.853860 loss=2.459449 lr=0.075310 Epoch[080] Batch [1749]/[1880] Speed: 108.439209 samples/sec accuracy=43.854911 loss=2.459861 lr=0.075289 Epoch[080] Batch [1799]/[1880] Speed: 111.151724 samples/sec accuracy=43.829427 loss=2.460985 lr=0.075268 Epoch[080] Batch [1849]/[1880] Speed: 107.775469 samples/sec accuracy=43.814189 loss=2.460919 lr=0.075248 Batch [0049]/[0151]: acc-top1=40.406250 acc-top5=66.078125 Batch [0099]/[0151]: acc-top1=43.992188 acc-top5=68.664062 Batch [0149]/[0151]: acc-top1=42.380208 acc-top5=68.041667 [Epoch 080] training: accuracy=43.790309 loss=2.461424 [Epoch 080] speed: 109 samples/sec time cost: 2400.129897 [Epoch 080] validation: acc-top1=42.399627 acc-top5=68.082575 loss=2.618464 Epoch[081] Batch [0049]/[1879] Speed: 75.609400 samples/sec accuracy=44.453125 loss=2.417987 lr=0.075214 Epoch[081] Batch [0099]/[1879] Speed: 116.536639 samples/sec accuracy=44.476562 loss=2.420423 lr=0.075193 Epoch[081] Batch [0149]/[1879] Speed: 104.337337 samples/sec accuracy=44.442708 loss=2.417766 lr=0.075172 Epoch[081] Batch [0199]/[1879] Speed: 113.691879 samples/sec accuracy=44.234375 loss=2.431393 lr=0.075151 Epoch[081] Batch [0249]/[1879] Speed: 104.271607 samples/sec accuracy=44.278125 loss=2.434226 lr=0.075130 Epoch[081] Batch [0299]/[1879] Speed: 111.636333 samples/sec accuracy=44.234375 loss=2.441460 lr=0.075109 Epoch[081] Batch [0349]/[1879] Speed: 114.590376 samples/sec accuracy=44.334821 loss=2.436414 lr=0.075088 Epoch[081] Batch [0399]/[1879] Speed: 105.081005 samples/sec accuracy=44.365234 loss=2.435125 lr=0.075067 Epoch[081] Batch [0449]/[1879] Speed: 112.168688 samples/sec accuracy=44.282986 loss=2.439617 lr=0.075046 Epoch[081] Batch [0499]/[1879] Speed: 105.995517 samples/sec accuracy=44.268750 loss=2.442872 lr=0.075025 Epoch[081] Batch [0549]/[1879] Speed: 113.076447 samples/sec accuracy=44.258523 loss=2.443873 lr=0.075004 Epoch[081] Batch [0599]/[1879] Speed: 107.282748 samples/sec accuracy=44.238281 loss=2.445956 lr=0.074983 Epoch[081] Batch [0649]/[1879] Speed: 114.497227 samples/sec accuracy=44.227163 loss=2.447690 lr=0.074962 Epoch[081] Batch [0699]/[1879] Speed: 110.727323 samples/sec accuracy=44.117188 loss=2.450458 lr=0.074941 Epoch[081] Batch [0749]/[1879] Speed: 107.877988 samples/sec accuracy=44.218750 loss=2.447793 lr=0.074920 Epoch[081] Batch [0799]/[1879] Speed: 110.095009 samples/sec accuracy=44.226562 loss=2.447720 lr=0.074898 Epoch[081] Batch [0849]/[1879] Speed: 107.238976 samples/sec accuracy=44.292279 loss=2.444342 lr=0.074877 Epoch[081] Batch [0899]/[1879] Speed: 112.061866 samples/sec accuracy=44.272569 loss=2.446511 lr=0.074856 Epoch[081] Batch 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accuracy=44.097656 loss=2.451683 lr=0.074645 Epoch[081] Batch [1449]/[1879] Speed: 107.994507 samples/sec accuracy=44.078125 loss=2.452002 lr=0.074624 Epoch[081] Batch [1499]/[1879] Speed: 108.657751 samples/sec accuracy=44.053125 loss=2.452797 lr=0.074603 Epoch[081] Batch [1549]/[1879] Speed: 114.490878 samples/sec accuracy=44.044355 loss=2.452759 lr=0.074582 Epoch[081] Batch [1599]/[1879] Speed: 104.051063 samples/sec accuracy=44.039551 loss=2.453146 lr=0.074561 Epoch[081] Batch [1649]/[1879] Speed: 114.849423 samples/sec accuracy=44.074811 loss=2.452857 lr=0.074539 Epoch[081] Batch [1699]/[1879] Speed: 107.416517 samples/sec accuracy=44.034467 loss=2.454299 lr=0.074518 Epoch[081] Batch [1749]/[1879] Speed: 110.393849 samples/sec accuracy=44.000000 loss=2.455461 lr=0.074497 Epoch[081] Batch [1799]/[1879] Speed: 109.029393 samples/sec accuracy=43.959635 loss=2.457476 lr=0.074476 Epoch[081] Batch [1849]/[1879] Speed: 110.569858 samples/sec accuracy=43.947635 loss=2.458359 lr=0.074455 Batch [0049]/[0151]: acc-top1=40.515625 acc-top5=66.015625 Batch [0099]/[0151]: acc-top1=45.171875 acc-top5=69.414062 Batch [0149]/[0151]: acc-top1=43.510417 acc-top5=69.369792 [Epoch 081] training: accuracy=43.944169 loss=2.458486 [Epoch 081] speed: 108 samples/sec time cost: 2403.405479 [Epoch 081] validation: acc-top1=43.475786 acc-top5=69.308775 loss=2.542537 Epoch[082] Batch [0049]/[1880] Speed: 76.045925 samples/sec accuracy=45.187500 loss=2.409673 lr=0.074421 Epoch[082] Batch [0099]/[1880] Speed: 113.490049 samples/sec accuracy=45.117188 loss=2.415115 lr=0.074400 Epoch[082] Batch [0149]/[1880] Speed: 108.985967 samples/sec accuracy=44.932292 loss=2.419344 lr=0.074379 Epoch[082] Batch [0199]/[1880] Speed: 110.764154 samples/sec accuracy=44.757812 loss=2.419220 lr=0.074358 Epoch[082] Batch [0249]/[1880] Speed: 111.405182 samples/sec accuracy=44.875000 loss=2.414682 lr=0.074336 Epoch[082] Batch [0299]/[1880] Speed: 106.489128 samples/sec accuracy=44.872396 loss=2.414383 lr=0.074315 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loss=2.440991 lr=0.073911 Epoch[082] Batch [1299]/[1880] Speed: 111.503896 samples/sec accuracy=44.149639 loss=2.442677 lr=0.073889 Epoch[082] Batch [1349]/[1880] Speed: 107.375832 samples/sec accuracy=44.122106 loss=2.444249 lr=0.073868 Epoch[082] Batch [1399]/[1880] Speed: 115.484638 samples/sec accuracy=44.111049 loss=2.445319 lr=0.073847 Epoch[082] Batch [1449]/[1880] Speed: 105.111133 samples/sec accuracy=44.150862 loss=2.444766 lr=0.073825 Epoch[082] Batch [1499]/[1880] Speed: 112.733598 samples/sec accuracy=44.129167 loss=2.445383 lr=0.073804 Epoch[082] Batch [1549]/[1880] Speed: 105.726648 samples/sec accuracy=44.107863 loss=2.445746 lr=0.073782 Epoch[082] Batch [1599]/[1880] Speed: 111.069167 samples/sec accuracy=44.130371 loss=2.445432 lr=0.073761 Epoch[082] Batch [1649]/[1880] Speed: 111.559650 samples/sec accuracy=44.152462 loss=2.444641 lr=0.073740 Epoch[082] Batch [1699]/[1880] Speed: 109.799151 samples/sec accuracy=44.132353 loss=2.445041 lr=0.073718 Epoch[082] Batch [1749]/[1880] Speed: 108.762017 samples/sec accuracy=44.112946 loss=2.445755 lr=0.073697 Epoch[082] Batch [1799]/[1880] Speed: 109.721551 samples/sec accuracy=44.084201 loss=2.447692 lr=0.073675 Epoch[082] Batch [1849]/[1880] Speed: 112.555797 samples/sec accuracy=44.062078 loss=2.448563 lr=0.073654 Batch [0049]/[0151]: acc-top1=42.250000 acc-top5=67.375000 Batch [0099]/[0151]: acc-top1=45.851562 acc-top5=70.312500 Batch [0149]/[0151]: acc-top1=44.401042 acc-top5=69.880208 [Epoch 082] training: accuracy=44.046709 loss=2.449059 [Epoch 082] speed: 109 samples/sec time cost: 2404.986866 [Epoch 082] validation: acc-top1=44.355339 acc-top5=69.815811 loss=2.512759 Epoch[083] Batch [0049]/[1880] Speed: 77.264345 samples/sec accuracy=45.296875 loss=2.405382 lr=0.073620 Epoch[083] Batch [0099]/[1880] Speed: 109.471567 samples/sec accuracy=45.078125 loss=2.414057 lr=0.073598 Epoch[083] Batch [0149]/[1880] Speed: 108.701769 samples/sec accuracy=45.145833 loss=2.416098 lr=0.073577 Epoch[083] Batch 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accuracy=44.780048 loss=2.419015 lr=0.073362 Epoch[083] Batch [0699]/[1880] Speed: 115.274044 samples/sec accuracy=44.764509 loss=2.420851 lr=0.073341 Epoch[083] Batch [0749]/[1880] Speed: 105.344425 samples/sec accuracy=44.782292 loss=2.422566 lr=0.073319 Epoch[083] Batch [0799]/[1880] Speed: 110.694602 samples/sec accuracy=44.704102 loss=2.424977 lr=0.073298 Epoch[083] Batch [0849]/[1880] Speed: 112.478693 samples/sec accuracy=44.629596 loss=2.426940 lr=0.073276 Epoch[083] Batch [0899]/[1880] Speed: 107.383978 samples/sec accuracy=44.543403 loss=2.431318 lr=0.073255 Epoch[083] Batch [0949]/[1880] Speed: 111.603177 samples/sec accuracy=44.516447 loss=2.432656 lr=0.073233 Epoch[083] Batch [0999]/[1880] Speed: 105.599951 samples/sec accuracy=44.495312 loss=2.432248 lr=0.073212 Epoch[083] Batch [1049]/[1880] Speed: 113.338690 samples/sec accuracy=44.484375 loss=2.432477 lr=0.073190 Epoch[083] Batch [1099]/[1880] Speed: 107.513967 samples/sec accuracy=44.448153 loss=2.433680 lr=0.073169 Epoch[083] Batch [1149]/[1880] Speed: 111.278401 samples/sec accuracy=44.417799 loss=2.435353 lr=0.073147 Epoch[083] Batch [1199]/[1880] Speed: 111.328575 samples/sec accuracy=44.439453 loss=2.435777 lr=0.073126 Epoch[083] Batch [1249]/[1880] Speed: 112.091929 samples/sec accuracy=44.393750 loss=2.437421 lr=0.073104 Epoch[083] Batch [1299]/[1880] Speed: 104.570395 samples/sec accuracy=44.377404 loss=2.437832 lr=0.073083 Epoch[083] Batch [1349]/[1880] Speed: 113.831224 samples/sec accuracy=44.388889 loss=2.437560 lr=0.073061 Epoch[083] Batch [1399]/[1880] Speed: 111.777527 samples/sec accuracy=44.351562 loss=2.439289 lr=0.073039 Epoch[083] Batch [1449]/[1880] Speed: 104.329880 samples/sec accuracy=44.331897 loss=2.440815 lr=0.073018 Epoch[083] Batch [1499]/[1880] Speed: 115.355013 samples/sec accuracy=44.365625 loss=2.439886 lr=0.072996 Epoch[083] Batch [1549]/[1880] Speed: 105.215103 samples/sec accuracy=44.358871 loss=2.440054 lr=0.072975 Epoch[083] Batch [1599]/[1880] Speed: 113.817378 samples/sec accuracy=44.356934 loss=2.440153 lr=0.072953 Epoch[083] Batch [1649]/[1880] Speed: 107.885850 samples/sec accuracy=44.380682 loss=2.439865 lr=0.072932 Epoch[083] Batch [1699]/[1880] Speed: 110.629614 samples/sec accuracy=44.365809 loss=2.440380 lr=0.072910 Epoch[083] Batch [1749]/[1880] Speed: 115.594356 samples/sec accuracy=44.328571 loss=2.441755 lr=0.072888 Epoch[083] Batch [1799]/[1880] Speed: 102.175963 samples/sec accuracy=44.335069 loss=2.442504 lr=0.072867 Epoch[083] Batch [1849]/[1880] Speed: 111.084687 samples/sec accuracy=44.317145 loss=2.443894 lr=0.072845 Batch [0049]/[0151]: acc-top1=40.890625 acc-top5=66.062500 Batch [0099]/[0151]: acc-top1=45.117188 acc-top5=69.437500 Batch [0149]/[0151]: acc-top1=43.557292 acc-top5=69.281250 [Epoch 083] training: accuracy=44.307264 loss=2.443885 [Epoch 083] speed: 109 samples/sec time cost: 2401.289994 [Epoch 083] validation: acc-top1=43.537873 acc-top5=69.267384 loss=2.520250 Epoch[084] Batch [0049]/[1880] Speed: 77.615159 samples/sec accuracy=45.078125 loss=2.376439 lr=0.072811 Epoch[084] Batch [0099]/[1880] Speed: 115.302432 samples/sec accuracy=45.070312 loss=2.379418 lr=0.072789 Epoch[084] Batch [0149]/[1880] Speed: 105.509142 samples/sec accuracy=45.208333 loss=2.385391 lr=0.072767 Epoch[084] Batch [0199]/[1880] Speed: 109.064338 samples/sec accuracy=45.238281 loss=2.384966 lr=0.072746 Epoch[084] Batch [0249]/[1880] Speed: 111.125968 samples/sec accuracy=45.237500 loss=2.389476 lr=0.072724 Epoch[084] Batch [0299]/[1880] Speed: 108.207698 samples/sec accuracy=45.127604 loss=2.400999 lr=0.072702 Epoch[084] Batch [0349]/[1880] Speed: 111.072740 samples/sec accuracy=45.156250 loss=2.398022 lr=0.072681 Epoch[084] Batch [0399]/[1880] Speed: 105.389811 samples/sec accuracy=44.992188 loss=2.404072 lr=0.072659 Epoch[084] Batch [0449]/[1880] Speed: 113.344538 samples/sec accuracy=45.097222 loss=2.403565 lr=0.072637 Epoch[084] Batch [0499]/[1880] Speed: 109.850076 samples/sec accuracy=45.084375 loss=2.403232 lr=0.072616 Epoch[084] Batch [0549]/[1880] Speed: 108.786057 samples/sec accuracy=45.035511 loss=2.407876 lr=0.072594 Epoch[084] Batch [0599]/[1880] Speed: 108.509929 samples/sec accuracy=44.957031 loss=2.413224 lr=0.072572 Epoch[084] Batch [0649]/[1880] Speed: 110.885305 samples/sec accuracy=44.991587 loss=2.411445 lr=0.072551 Epoch[084] Batch [0699]/[1880] Speed: 107.069204 samples/sec accuracy=44.889509 loss=2.414948 lr=0.072529 Epoch[084] Batch [0749]/[1880] Speed: 111.849170 samples/sec accuracy=44.863542 loss=2.417131 lr=0.072507 Epoch[084] Batch [0799]/[1880] Speed: 110.374937 samples/sec accuracy=44.807617 loss=2.419271 lr=0.072486 Epoch[084] Batch [0849]/[1880] Speed: 106.419408 samples/sec accuracy=44.843750 loss=2.418576 lr=0.072464 Epoch[084] Batch [0899]/[1880] Speed: 112.020652 samples/sec accuracy=44.828125 loss=2.419958 lr=0.072442 Epoch[084] Batch [0949]/[1880] Speed: 111.807772 samples/sec accuracy=44.814967 loss=2.420135 lr=0.072420 Epoch[084] Batch [0999]/[1880] Speed: 107.439246 samples/sec accuracy=44.764063 loss=2.423467 lr=0.072399 Epoch[084] Batch [1049]/[1880] Speed: 110.765632 samples/sec accuracy=44.811756 loss=2.421525 lr=0.072377 Epoch[084] Batch [1099]/[1880] Speed: 109.494027 samples/sec accuracy=44.806818 loss=2.422907 lr=0.072355 Epoch[084] Batch [1149]/[1880] Speed: 109.611175 samples/sec accuracy=44.783967 loss=2.424344 lr=0.072333 Epoch[084] Batch [1199]/[1880] Speed: 107.507347 samples/sec accuracy=44.783854 loss=2.423874 lr=0.072312 Epoch[084] Batch [1249]/[1880] Speed: 113.689971 samples/sec accuracy=44.742500 loss=2.424881 lr=0.072290 Epoch[084] Batch [1299]/[1880] Speed: 108.079691 samples/sec accuracy=44.741587 loss=2.423135 lr=0.072268 Epoch[084] Batch [1349]/[1880] Speed: 108.648380 samples/sec accuracy=44.681713 loss=2.426723 lr=0.072246 Epoch[084] Batch [1399]/[1880] Speed: 114.554088 samples/sec accuracy=44.670759 loss=2.427073 lr=0.072225 Epoch[084] Batch [1449]/[1880] Speed: 105.581654 samples/sec accuracy=44.636315 loss=2.429510 lr=0.072203 Epoch[084] Batch [1499]/[1880] Speed: 114.998889 samples/sec accuracy=44.688542 loss=2.427032 lr=0.072181 Epoch[084] Batch [1549]/[1880] Speed: 109.748947 samples/sec accuracy=44.688508 loss=2.427027 lr=0.072159 Epoch[084] Batch [1599]/[1880] Speed: 108.381491 samples/sec accuracy=44.663086 loss=2.428212 lr=0.072138 Epoch[084] Batch [1649]/[1880] Speed: 110.123122 samples/sec accuracy=44.639678 loss=2.429126 lr=0.072116 Epoch[084] Batch [1699]/[1880] Speed: 107.327327 samples/sec accuracy=44.624081 loss=2.430100 lr=0.072094 Epoch[084] Batch [1749]/[1880] Speed: 113.182638 samples/sec accuracy=44.641964 loss=2.430029 lr=0.072072 Epoch[084] Batch [1799]/[1880] Speed: 109.334497 samples/sec accuracy=44.614149 loss=2.430343 lr=0.072050 Epoch[084] Batch [1849]/[1880] Speed: 111.599443 samples/sec accuracy=44.576858 loss=2.431653 lr=0.072029 Batch [0049]/[0151]: acc-top1=39.593750 acc-top5=66.187500 Batch [0099]/[0151]: acc-top1=43.382812 acc-top5=68.898438 Batch [0149]/[0151]: acc-top1=42.770833 acc-top5=69.187500 [Epoch 084] training: accuracy=44.552443 loss=2.432475 [Epoch 084] speed: 109 samples/sec time cost: 2402.663965 [Epoch 084] validation: acc-top1=42.741101 acc-top5=69.179429 loss=2.595554 Epoch[085] Batch [0049]/[1880] Speed: 76.517807 samples/sec accuracy=44.953125 loss=2.385638 lr=0.071994 Epoch[085] Batch [0099]/[1880] Speed: 116.066037 samples/sec accuracy=45.132812 loss=2.376441 lr=0.071972 Epoch[085] Batch [0149]/[1880] Speed: 102.869164 samples/sec accuracy=45.526042 loss=2.365329 lr=0.071950 Epoch[085] Batch [0199]/[1880] Speed: 115.380595 samples/sec accuracy=45.500000 loss=2.371170 lr=0.071928 Epoch[085] Batch [0249]/[1880] Speed: 109.861141 samples/sec accuracy=45.493750 loss=2.373581 lr=0.071906 Epoch[085] Batch [0299]/[1880] Speed: 106.895118 samples/sec accuracy=45.476562 loss=2.377878 lr=0.071884 Epoch[085] Batch [0349]/[1880] Speed: 113.893595 samples/sec accuracy=45.450893 loss=2.383828 lr=0.071863 Epoch[085] Batch [0399]/[1880] Speed: 106.732417 samples/sec accuracy=45.437500 loss=2.386308 lr=0.071841 Epoch[085] Batch [0449]/[1880] Speed: 112.328958 samples/sec accuracy=45.529514 loss=2.382972 lr=0.071819 Epoch[085] Batch [0499]/[1880] Speed: 105.611491 samples/sec accuracy=45.453125 loss=2.385676 lr=0.071797 Epoch[085] Batch [0549]/[1880] Speed: 112.565955 samples/sec accuracy=45.423295 loss=2.390658 lr=0.071775 Epoch[085] Batch [0599]/[1880] Speed: 112.895100 samples/sec accuracy=45.337240 loss=2.391643 lr=0.071753 Epoch[085] Batch [0649]/[1880] Speed: 103.345950 samples/sec accuracy=45.388221 loss=2.389965 lr=0.071731 Epoch[085] Batch [0699]/[1880] Speed: 116.525171 samples/sec accuracy=45.287946 loss=2.394067 lr=0.071709 Epoch[085] Batch [0749]/[1880] Speed: 103.678041 samples/sec accuracy=45.269792 loss=2.396275 lr=0.071688 Epoch[085] Batch [0799]/[1880] Speed: 115.432228 samples/sec accuracy=45.191406 loss=2.399122 lr=0.071666 Epoch[085] Batch 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accuracy=44.921274 loss=2.412158 lr=0.071446 Epoch[085] Batch [1349]/[1880] Speed: 109.405665 samples/sec accuracy=44.916088 loss=2.412749 lr=0.071424 Epoch[085] Batch [1399]/[1880] Speed: 109.630532 samples/sec accuracy=44.858259 loss=2.415515 lr=0.071403 Epoch[085] Batch [1449]/[1880] Speed: 111.234047 samples/sec accuracy=44.822737 loss=2.416818 lr=0.071381 Epoch[085] Batch [1499]/[1880] Speed: 108.774573 samples/sec accuracy=44.757812 loss=2.420214 lr=0.071359 Epoch[085] Batch [1549]/[1880] Speed: 107.558786 samples/sec accuracy=44.699093 loss=2.422277 lr=0.071337 Epoch[085] Batch [1599]/[1880] Speed: 111.837541 samples/sec accuracy=44.702148 loss=2.421846 lr=0.071315 Epoch[085] Batch [1649]/[1880] Speed: 112.068875 samples/sec accuracy=44.672348 loss=2.423142 lr=0.071293 Epoch[085] Batch [1699]/[1880] Speed: 107.406910 samples/sec accuracy=44.676471 loss=2.422482 lr=0.071271 Epoch[085] Batch [1749]/[1880] Speed: 111.001817 samples/sec accuracy=44.654911 loss=2.422748 lr=0.071249 Epoch[085] Batch [1799]/[1880] Speed: 108.928763 samples/sec accuracy=44.631076 loss=2.424339 lr=0.071227 Epoch[085] Batch [1849]/[1880] Speed: 111.366757 samples/sec accuracy=44.633446 loss=2.426067 lr=0.071205 Batch [0049]/[0151]: acc-top1=43.234375 acc-top5=68.218750 Batch [0099]/[0151]: acc-top1=47.132812 acc-top5=70.859375 Batch [0149]/[0151]: acc-top1=45.244792 acc-top5=70.458333 [Epoch 085] training: accuracy=44.622673 loss=2.426343 [Epoch 085] speed: 109 samples/sec time cost: 2401.845193 [Epoch 085] validation: acc-top1=45.157285 acc-top5=70.436672 loss=2.481164 Epoch[086] Batch [0049]/[1880] Speed: 76.368591 samples/sec accuracy=45.625000 loss=2.391951 lr=0.071169 Epoch[086] Batch [0099]/[1880] Speed: 113.141851 samples/sec accuracy=45.710938 loss=2.389365 lr=0.071147 Epoch[086] Batch [0149]/[1880] Speed: 109.961618 samples/sec accuracy=45.770833 loss=2.388360 lr=0.071125 Epoch[086] Batch [0199]/[1880] Speed: 110.275842 samples/sec accuracy=45.339844 loss=2.399829 lr=0.071103 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loss=2.420663 lr=0.070684 Epoch[086] Batch [1199]/[1880] Speed: 106.786689 samples/sec accuracy=44.743490 loss=2.420617 lr=0.070662 Epoch[086] Batch [1249]/[1880] Speed: 112.353646 samples/sec accuracy=44.718125 loss=2.421457 lr=0.070640 Epoch[086] Batch [1299]/[1880] Speed: 105.236033 samples/sec accuracy=44.703726 loss=2.421094 lr=0.070617 Epoch[086] Batch [1349]/[1880] Speed: 115.583770 samples/sec accuracy=44.687500 loss=2.422160 lr=0.070595 Epoch[086] Batch [1399]/[1880] Speed: 107.461097 samples/sec accuracy=44.705915 loss=2.422016 lr=0.070573 Epoch[086] Batch [1449]/[1880] Speed: 109.310734 samples/sec accuracy=44.670797 loss=2.423704 lr=0.070551 Epoch[086] Batch [1499]/[1880] Speed: 111.156907 samples/sec accuracy=44.678125 loss=2.423433 lr=0.070529 Epoch[086] Batch [1549]/[1880] Speed: 107.544804 samples/sec accuracy=44.666331 loss=2.423843 lr=0.070507 Epoch[086] Batch [1599]/[1880] Speed: 115.285043 samples/sec accuracy=44.636719 loss=2.424899 lr=0.070485 Epoch[086] Batch [1649]/[1880] Speed: 103.540933 samples/sec accuracy=44.639205 loss=2.425022 lr=0.070462 Epoch[086] Batch [1699]/[1880] Speed: 113.545142 samples/sec accuracy=44.613971 loss=2.426891 lr=0.070440 Epoch[086] Batch [1749]/[1880] Speed: 106.792981 samples/sec accuracy=44.593750 loss=2.427196 lr=0.070418 Epoch[086] Batch [1799]/[1880] Speed: 113.125363 samples/sec accuracy=44.569010 loss=2.426818 lr=0.070396 Epoch[086] Batch [1849]/[1880] Speed: 114.000111 samples/sec accuracy=44.556166 loss=2.426832 lr=0.070374 Batch [0049]/[0151]: acc-top1=41.000000 acc-top5=67.218750 Batch [0099]/[0151]: acc-top1=45.671875 acc-top5=70.734375 Batch [0149]/[0151]: acc-top1=44.552083 acc-top5=70.359375 [Epoch 086] training: accuracy=44.545379 loss=2.427542 [Epoch 086] speed: 109 samples/sec time cost: 2404.249090 [Epoch 086] validation: acc-top1=44.526076 acc-top5=70.369412 loss=2.459595 Epoch[087] Batch [0049]/[1879] Speed: 76.898396 samples/sec accuracy=45.531250 loss=2.366477 lr=0.070338 Epoch[087] Batch 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accuracy=44.984375 loss=2.403865 lr=0.070116 Epoch[087] Batch [0599]/[1879] Speed: 109.256036 samples/sec accuracy=44.951823 loss=2.406659 lr=0.070094 Epoch[087] Batch [0649]/[1879] Speed: 108.603441 samples/sec accuracy=44.867788 loss=2.410740 lr=0.070071 Epoch[087] Batch [0699]/[1879] Speed: 110.424261 samples/sec accuracy=44.852679 loss=2.412504 lr=0.070049 Epoch[087] Batch [0749]/[1879] Speed: 110.707870 samples/sec accuracy=44.827083 loss=2.412217 lr=0.070027 Epoch[087] Batch [0799]/[1879] Speed: 106.731836 samples/sec accuracy=44.761719 loss=2.411903 lr=0.070005 Epoch[087] Batch [0849]/[1879] Speed: 114.748291 samples/sec accuracy=44.782169 loss=2.410891 lr=0.069982 Epoch[087] Batch [0899]/[1879] Speed: 105.981161 samples/sec accuracy=44.747396 loss=2.411123 lr=0.069960 Epoch[087] Batch [0949]/[1879] Speed: 109.967769 samples/sec accuracy=44.747533 loss=2.411963 lr=0.069938 Epoch[087] Batch [0999]/[1879] Speed: 112.794544 samples/sec accuracy=44.775000 loss=2.411167 lr=0.069915 Epoch[087] Batch [1049]/[1879] Speed: 107.468633 samples/sec accuracy=44.787202 loss=2.411890 lr=0.069893 Epoch[087] Batch [1099]/[1879] Speed: 110.900942 samples/sec accuracy=44.805398 loss=2.412821 lr=0.069871 Epoch[087] Batch [1149]/[1879] Speed: 112.441770 samples/sec accuracy=44.815217 loss=2.413583 lr=0.069849 Epoch[087] Batch [1199]/[1879] Speed: 108.025517 samples/sec accuracy=44.812500 loss=2.413486 lr=0.069826 Epoch[087] Batch [1249]/[1879] Speed: 110.755770 samples/sec accuracy=44.751875 loss=2.416073 lr=0.069804 Epoch[087] Batch [1299]/[1879] Speed: 105.390303 samples/sec accuracy=44.728365 loss=2.416253 lr=0.069782 Epoch[087] Batch [1349]/[1879] Speed: 111.468542 samples/sec accuracy=44.737269 loss=2.415950 lr=0.069759 Epoch[087] Batch [1399]/[1879] Speed: 108.605669 samples/sec accuracy=44.723772 loss=2.415740 lr=0.069737 Epoch[087] Batch [1449]/[1879] Speed: 115.644011 samples/sec accuracy=44.700970 loss=2.416456 lr=0.069715 Epoch[087] Batch [1499]/[1879] Speed: 103.246931 samples/sec accuracy=44.711458 loss=2.415547 lr=0.069692 Epoch[087] Batch [1549]/[1879] Speed: 115.886507 samples/sec accuracy=44.673387 loss=2.417149 lr=0.069670 Epoch[087] Batch [1599]/[1879] Speed: 113.135917 samples/sec accuracy=44.680664 loss=2.417216 lr=0.069648 Epoch[087] Batch [1649]/[1879] Speed: 106.182281 samples/sec accuracy=44.675663 loss=2.416555 lr=0.069625 Epoch[087] Batch [1699]/[1879] Speed: 112.437206 samples/sec accuracy=44.678309 loss=2.416634 lr=0.069603 Epoch[087] Batch [1749]/[1879] Speed: 106.484301 samples/sec accuracy=44.694196 loss=2.416240 lr=0.069581 Epoch[087] Batch [1799]/[1879] Speed: 110.698883 samples/sec accuracy=44.673177 loss=2.416399 lr=0.069558 Epoch[087] Batch [1849]/[1879] Speed: 115.402787 samples/sec accuracy=44.719172 loss=2.414868 lr=0.069536 Batch [0049]/[0151]: acc-top1=42.562500 acc-top5=68.109375 Batch [0099]/[0151]: acc-top1=45.757812 acc-top5=70.671875 Batch [0149]/[0151]: acc-top1=43.937500 acc-top5=70.062500 [Epoch 087] training: accuracy=44.685088 loss=2.416102 [Epoch 087] speed: 109 samples/sec time cost: 2398.870857 [Epoch 087] validation: acc-top1=43.832781 acc-top5=69.976200 loss=2.491643 Epoch[088] Batch [0049]/[1880] Speed: 77.044089 samples/sec accuracy=44.328125 loss=2.388120 lr=0.069500 Epoch[088] Batch [0099]/[1880] Speed: 115.685481 samples/sec accuracy=44.750000 loss=2.405146 lr=0.069478 Epoch[088] Batch [0149]/[1880] Speed: 107.486696 samples/sec accuracy=44.781250 loss=2.398260 lr=0.069456 Epoch[088] Batch [0199]/[1880] Speed: 109.934367 samples/sec accuracy=45.082031 loss=2.383843 lr=0.069433 Epoch[088] Batch [0249]/[1880] Speed: 106.779812 samples/sec accuracy=44.906250 loss=2.390547 lr=0.069411 Epoch[088] Batch [0299]/[1880] Speed: 110.745755 samples/sec accuracy=45.015625 loss=2.396446 lr=0.069389 Epoch[088] Batch [0349]/[1880] Speed: 113.299216 samples/sec accuracy=45.062500 loss=2.400249 lr=0.069366 Epoch[088] Batch [0399]/[1880] Speed: 105.737828 samples/sec accuracy=45.130859 loss=2.398726 lr=0.069344 Epoch[088] Batch [0449]/[1880] Speed: 110.274129 samples/sec accuracy=45.105903 loss=2.399215 lr=0.069321 Epoch[088] Batch [0499]/[1880] Speed: 113.868658 samples/sec accuracy=45.125000 loss=2.395783 lr=0.069299 Epoch[088] Batch [0549]/[1880] Speed: 107.315788 samples/sec accuracy=45.133523 loss=2.394856 lr=0.069276 Epoch[088] Batch [0599]/[1880] Speed: 110.861259 samples/sec accuracy=45.192708 loss=2.394388 lr=0.069254 Epoch[088] Batch [0649]/[1880] Speed: 108.141568 samples/sec accuracy=45.201923 loss=2.396444 lr=0.069232 Epoch[088] Batch [0699]/[1880] Speed: 111.279711 samples/sec accuracy=45.133929 loss=2.398027 lr=0.069209 Epoch[088] Batch [0749]/[1880] Speed: 111.469521 samples/sec accuracy=45.102083 loss=2.399235 lr=0.069187 Epoch[088] Batch [0799]/[1880] Speed: 107.445555 samples/sec accuracy=45.081055 loss=2.401044 lr=0.069164 Epoch[088] Batch [0849]/[1880] Speed: 114.869992 samples/sec accuracy=45.035846 loss=2.403305 lr=0.069142 Epoch[088] Batch [0899]/[1880] Speed: 103.187951 samples/sec accuracy=45.045139 loss=2.402700 lr=0.069119 Epoch[088] Batch [0949]/[1880] Speed: 115.087469 samples/sec accuracy=45.081414 loss=2.400689 lr=0.069097 Epoch[088] Batch [0999]/[1880] Speed: 104.788263 samples/sec accuracy=45.055469 loss=2.399751 lr=0.069074 Epoch[088] Batch [1049]/[1880] Speed: 115.952019 samples/sec accuracy=45.050595 loss=2.401316 lr=0.069052 Epoch[088] Batch [1099]/[1880] Speed: 108.204947 samples/sec accuracy=45.068892 loss=2.400525 lr=0.069030 Epoch[088] Batch [1149]/[1880] Speed: 109.021335 samples/sec accuracy=45.071332 loss=2.400887 lr=0.069007 Epoch[088] Batch [1199]/[1880] Speed: 114.764928 samples/sec accuracy=45.094401 loss=2.400142 lr=0.068985 Epoch[088] Batch [1249]/[1880] Speed: 102.433885 samples/sec accuracy=45.061250 loss=2.401644 lr=0.068962 Epoch[088] Batch [1299]/[1880] Speed: 115.233371 samples/sec accuracy=45.037260 loss=2.401447 lr=0.068940 Epoch[088] Batch [1349]/[1880] Speed: 104.590806 samples/sec accuracy=45.018519 loss=2.402655 lr=0.068917 Epoch[088] Batch [1399]/[1880] Speed: 113.836579 samples/sec accuracy=45.022321 loss=2.403012 lr=0.068895 Epoch[088] Batch [1449]/[1880] Speed: 107.759245 samples/sec accuracy=45.003233 loss=2.403736 lr=0.068872 Epoch[088] Batch [1499]/[1880] Speed: 110.163027 samples/sec accuracy=45.003646 loss=2.403287 lr=0.068850 Epoch[088] Batch [1549]/[1880] Speed: 109.075391 samples/sec accuracy=45.020665 loss=2.402710 lr=0.068827 Epoch[088] Batch [1599]/[1880] Speed: 110.785450 samples/sec accuracy=44.967285 loss=2.404780 lr=0.068805 Epoch[088] Batch [1649]/[1880] Speed: 113.453774 samples/sec accuracy=44.998580 loss=2.404350 lr=0.068782 Epoch[088] Batch [1699]/[1880] Speed: 106.251977 samples/sec accuracy=45.002757 loss=2.403650 lr=0.068760 Epoch[088] Batch [1749]/[1880] Speed: 107.721449 samples/sec accuracy=44.963393 loss=2.403684 lr=0.068737 Epoch[088] Batch [1799]/[1880] Speed: 111.352744 samples/sec accuracy=44.940972 loss=2.405262 lr=0.068714 Epoch[088] Batch [1849]/[1880] Speed: 109.353213 samples/sec accuracy=44.950169 loss=2.405028 lr=0.068692 Batch [0049]/[0151]: acc-top1=41.218750 acc-top5=67.656250 Batch [0099]/[0151]: acc-top1=46.062500 acc-top5=70.453125 Batch [0149]/[0151]: acc-top1=44.838542 acc-top5=70.468750 [Epoch 088] training: accuracy=44.956366 loss=2.405416 [Epoch 088] speed: 109 samples/sec time cost: 2401.845374 [Epoch 088] validation: acc-top1=44.779594 acc-top5=70.405629 loss=2.468517 Epoch[089] Batch [0049]/[1880] Speed: 76.689450 samples/sec accuracy=46.109375 loss=2.379456 lr=0.068656 Epoch[089] Batch [0099]/[1880] Speed: 114.824136 samples/sec accuracy=46.125000 loss=2.365893 lr=0.068633 Epoch[089] Batch [0149]/[1880] Speed: 105.410298 samples/sec accuracy=45.812500 loss=2.377216 lr=0.068611 Epoch[089] Batch [0199]/[1880] Speed: 112.065152 samples/sec accuracy=45.734375 loss=2.378397 lr=0.068588 Epoch[089] Batch [0249]/[1880] Speed: 109.448425 samples/sec accuracy=45.393750 loss=2.388176 lr=0.068566 Epoch[089] Batch [0299]/[1880] Speed: 109.584194 samples/sec accuracy=45.450521 loss=2.385504 lr=0.068543 Epoch[089] Batch [0349]/[1880] Speed: 110.922660 samples/sec accuracy=45.303571 loss=2.389472 lr=0.068521 Epoch[089] Batch [0399]/[1880] Speed: 105.206153 samples/sec accuracy=45.283203 loss=2.391333 lr=0.068498 Epoch[089] Batch [0449]/[1880] Speed: 110.552461 samples/sec accuracy=45.258681 loss=2.395300 lr=0.068475 Epoch[089] Batch [0499]/[1880] Speed: 109.156167 samples/sec accuracy=45.217188 loss=2.399262 lr=0.068453 Epoch[089] Batch [0549]/[1880] Speed: 113.545890 samples/sec accuracy=45.279830 loss=2.396675 lr=0.068430 Epoch[089] Batch [0599]/[1880] Speed: 106.227616 samples/sec accuracy=45.304688 loss=2.396415 lr=0.068408 Epoch[089] Batch [0649]/[1880] Speed: 111.586249 samples/sec accuracy=45.180288 loss=2.402888 lr=0.068385 Epoch[089] Batch [0699]/[1880] Speed: 111.992297 samples/sec accuracy=45.229911 loss=2.399294 lr=0.068362 Epoch[089] Batch [0749]/[1880] Speed: 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loss=2.397414 lr=0.068136 Epoch[089] Batch [1249]/[1880] Speed: 113.577320 samples/sec accuracy=45.188125 loss=2.398979 lr=0.068114 Epoch[089] Batch [1299]/[1880] Speed: 113.183691 samples/sec accuracy=45.185096 loss=2.399006 lr=0.068091 Epoch[089] Batch [1349]/[1880] Speed: 107.151522 samples/sec accuracy=45.176505 loss=2.399696 lr=0.068068 Epoch[089] Batch [1399]/[1880] Speed: 114.066793 samples/sec accuracy=45.190848 loss=2.398640 lr=0.068046 Epoch[089] Batch [1449]/[1880] Speed: 103.890173 samples/sec accuracy=45.218750 loss=2.397231 lr=0.068023 Epoch[089] Batch [1499]/[1880] Speed: 112.383427 samples/sec accuracy=45.191667 loss=2.398554 lr=0.068000 Epoch[089] Batch [1549]/[1880] Speed: 107.910716 samples/sec accuracy=45.197581 loss=2.398197 lr=0.067978 Epoch[089] Batch [1599]/[1880] Speed: 111.929893 samples/sec accuracy=45.205566 loss=2.399220 lr=0.067955 Epoch[089] Batch [1649]/[1880] Speed: 105.549812 samples/sec accuracy=45.215909 loss=2.399936 lr=0.067932 Epoch[089] Batch [1699]/[1880] Speed: 115.673899 samples/sec accuracy=45.214154 loss=2.399828 lr=0.067909 Epoch[089] Batch [1749]/[1880] Speed: 113.203872 samples/sec accuracy=45.210268 loss=2.400197 lr=0.067887 Epoch[089] Batch [1799]/[1880] Speed: 104.567293 samples/sec accuracy=45.219184 loss=2.399265 lr=0.067864 Epoch[089] Batch [1849]/[1880] Speed: 113.943505 samples/sec accuracy=45.204392 loss=2.399599 lr=0.067841 Batch [0049]/[0151]: acc-top1=41.859375 acc-top5=68.593750 Batch [0099]/[0151]: acc-top1=45.843750 acc-top5=71.632812 Batch [0149]/[0151]: acc-top1=45.046875 acc-top5=71.218750 [Epoch 089] training: accuracy=45.199468 loss=2.399599 [Epoch 089] speed: 109 samples/sec time cost: 2402.450289 [Epoch 089] validation: acc-top1=45.058982 acc-top5=71.202401 loss=2.444976 Epoch[090] Batch [0049]/[1880] Speed: 77.884921 samples/sec accuracy=45.875000 loss=2.340676 lr=0.067805 Epoch[090] Batch [0099]/[1880] Speed: 113.733205 samples/sec accuracy=45.812500 loss=2.343229 lr=0.067782 Epoch[090] Batch 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accuracy=45.756510 loss=2.365688 lr=0.067555 Epoch[090] Batch [0649]/[1880] Speed: 106.551994 samples/sec accuracy=45.781250 loss=2.366654 lr=0.067532 Epoch[090] Batch [0699]/[1880] Speed: 111.789116 samples/sec accuracy=45.717634 loss=2.370849 lr=0.067510 Epoch[090] Batch [0749]/[1880] Speed: 116.724606 samples/sec accuracy=45.693750 loss=2.370376 lr=0.067487 Epoch[090] Batch [0799]/[1880] Speed: 104.217870 samples/sec accuracy=45.665039 loss=2.370823 lr=0.067464 Epoch[090] Batch [0849]/[1880] Speed: 113.388679 samples/sec accuracy=45.630515 loss=2.372338 lr=0.067441 Epoch[090] Batch [0899]/[1880] Speed: 106.623942 samples/sec accuracy=45.562500 loss=2.373319 lr=0.067418 Epoch[090] Batch [0949]/[1880] Speed: 111.652084 samples/sec accuracy=45.523849 loss=2.376465 lr=0.067396 Epoch[090] Batch [0999]/[1880] Speed: 106.211752 samples/sec accuracy=45.494531 loss=2.378253 lr=0.067373 Epoch[090] Batch [1049]/[1880] Speed: 111.937366 samples/sec accuracy=45.453869 loss=2.379174 lr=0.067350 Epoch[090] Batch [1099]/[1880] Speed: 116.377250 samples/sec accuracy=45.453125 loss=2.378278 lr=0.067327 Epoch[090] Batch [1149]/[1880] Speed: 104.142271 samples/sec accuracy=45.433424 loss=2.379197 lr=0.067304 Epoch[090] Batch [1199]/[1880] Speed: 115.979365 samples/sec accuracy=45.398438 loss=2.380842 lr=0.067282 Epoch[090] Batch [1249]/[1880] Speed: 102.571086 samples/sec accuracy=45.371875 loss=2.383322 lr=0.067259 Epoch[090] Batch [1299]/[1880] Speed: 118.917414 samples/sec accuracy=45.322115 loss=2.386064 lr=0.067236 Epoch[090] Batch [1349]/[1880] Speed: 103.356936 samples/sec accuracy=45.318287 loss=2.386267 lr=0.067213 Epoch[090] Batch [1399]/[1880] Speed: 112.065863 samples/sec accuracy=45.349888 loss=2.385002 lr=0.067190 Epoch[090] Batch [1449]/[1880] Speed: 108.006044 samples/sec accuracy=45.338362 loss=2.384554 lr=0.067168 Epoch[090] Batch [1499]/[1880] Speed: 111.277807 samples/sec accuracy=45.315104 loss=2.386913 lr=0.067145 Epoch[090] Batch [1549]/[1880] Speed: 113.091829 samples/sec accuracy=45.279234 loss=2.388659 lr=0.067122 Epoch[090] Batch [1599]/[1880] Speed: 104.306315 samples/sec accuracy=45.260254 loss=2.389490 lr=0.067099 Epoch[090] Batch [1649]/[1880] Speed: 114.998133 samples/sec accuracy=45.231061 loss=2.390769 lr=0.067076 Epoch[090] Batch [1699]/[1880] Speed: 110.108681 samples/sec accuracy=45.202665 loss=2.392636 lr=0.067053 Epoch[090] Batch [1749]/[1880] Speed: 106.802610 samples/sec accuracy=45.185714 loss=2.394656 lr=0.067031 Epoch[090] Batch [1799]/[1880] Speed: 113.885179 samples/sec accuracy=45.178819 loss=2.395388 lr=0.067008 Epoch[090] Batch [1849]/[1880] Speed: 108.379860 samples/sec accuracy=45.147804 loss=2.396566 lr=0.066985 Batch [0049]/[0151]: acc-top1=41.250000 acc-top5=67.218750 Batch [0099]/[0151]: acc-top1=45.468750 acc-top5=69.742188 Batch [0149]/[0151]: acc-top1=44.093750 acc-top5=69.260417 [Epoch 090] training: accuracy=45.171626 loss=2.395894 [Epoch 090] speed: 109 samples/sec time cost: 2398.890120 [Epoch 090] validation: acc-top1=44.050083 acc-top5=69.282906 loss=2.572654 Epoch[091] Batch [0049]/[1880] Speed: 77.130041 samples/sec accuracy=46.390625 loss=2.326887 lr=0.066948 Epoch[091] Batch [0099]/[1880] Speed: 114.194812 samples/sec accuracy=46.859375 loss=2.304685 lr=0.066925 Epoch[091] Batch [0149]/[1880] Speed: 107.235047 samples/sec accuracy=46.109375 loss=2.342232 lr=0.066903 Epoch[091] Batch [0199]/[1880] Speed: 107.942276 samples/sec accuracy=46.156250 loss=2.348055 lr=0.066880 Epoch[091] Batch [0249]/[1880] Speed: 113.563260 samples/sec accuracy=46.046875 loss=2.355754 lr=0.066857 Epoch[091] Batch [0299]/[1880] Speed: 105.514719 samples/sec accuracy=46.096354 loss=2.354286 lr=0.066834 Epoch[091] Batch [0349]/[1880] Speed: 113.792034 samples/sec accuracy=45.986607 loss=2.355237 lr=0.066811 Epoch[091] Batch [0399]/[1880] Speed: 106.654419 samples/sec accuracy=45.875000 loss=2.361277 lr=0.066788 Epoch[091] Batch [0449]/[1880] Speed: 111.962143 samples/sec accuracy=45.925347 loss=2.361505 lr=0.066765 Epoch[091] Batch [0499]/[1880] Speed: 112.404231 samples/sec accuracy=45.934375 loss=2.361175 lr=0.066742 Epoch[091] Batch [0549]/[1880] Speed: 103.297589 samples/sec accuracy=45.938920 loss=2.362693 lr=0.066719 Epoch[091] Batch [0599]/[1880] Speed: 117.548350 samples/sec accuracy=45.889323 loss=2.363875 lr=0.066697 Epoch[091] Batch [0649]/[1880] Speed: 102.463187 samples/sec accuracy=45.844952 loss=2.363277 lr=0.066674 Epoch[091] Batch [0699]/[1880] Speed: 115.589148 samples/sec accuracy=45.859375 loss=2.363535 lr=0.066651 Epoch[091] Batch [0749]/[1880] Speed: 105.044323 samples/sec accuracy=45.780208 loss=2.366421 lr=0.066628 Epoch[091] Batch [0799]/[1880] Speed: 114.046393 samples/sec accuracy=45.786133 loss=2.365420 lr=0.066605 Epoch[091] Batch [0849]/[1880] Speed: 107.126952 samples/sec accuracy=45.844669 loss=2.364676 lr=0.066582 Epoch[091] Batch [0899]/[1880] Speed: 110.949237 samples/sec accuracy=45.835938 loss=2.365981 lr=0.066559 Epoch[091] Batch 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accuracy=45.544085 loss=2.378825 lr=0.066330 Epoch[091] Batch [1449]/[1880] Speed: 116.064784 samples/sec accuracy=45.513470 loss=2.380260 lr=0.066307 Epoch[091] Batch [1499]/[1880] Speed: 104.592926 samples/sec accuracy=45.507812 loss=2.381783 lr=0.066284 Epoch[091] Batch [1549]/[1880] Speed: 114.167228 samples/sec accuracy=45.495464 loss=2.382225 lr=0.066261 Epoch[091] Batch [1599]/[1880] Speed: 104.247879 samples/sec accuracy=45.466309 loss=2.383236 lr=0.066238 Epoch[091] Batch [1649]/[1880] Speed: 115.891925 samples/sec accuracy=45.439867 loss=2.384233 lr=0.066215 Epoch[091] Batch [1699]/[1880] Speed: 105.041597 samples/sec accuracy=45.410386 loss=2.385762 lr=0.066192 Epoch[091] Batch [1749]/[1880] Speed: 109.720491 samples/sec accuracy=45.407143 loss=2.385470 lr=0.066169 Epoch[091] Batch [1799]/[1880] Speed: 117.812412 samples/sec accuracy=45.353299 loss=2.387005 lr=0.066146 Epoch[091] Batch [1849]/[1880] Speed: 101.891005 samples/sec accuracy=45.356841 loss=2.387412 lr=0.066123 Batch [0049]/[0151]: acc-top1=42.953125 acc-top5=68.781250 Batch [0099]/[0151]: acc-top1=47.101562 acc-top5=71.679688 Batch [0149]/[0151]: acc-top1=45.375000 acc-top5=71.078125 [Epoch 091] training: accuracy=45.334940 loss=2.387767 [Epoch 091] speed: 109 samples/sec time cost: 2401.197260 [Epoch 091] validation: acc-top1=45.338369 acc-top5=71.088576 loss=2.428969 Epoch[092] Batch [0049]/[1880] Speed: 76.095108 samples/sec accuracy=46.156250 loss=2.372795 lr=0.066086 Epoch[092] Batch [0099]/[1880] Speed: 113.623252 samples/sec accuracy=45.976562 loss=2.358131 lr=0.066063 Epoch[092] Batch [0149]/[1880] Speed: 113.243344 samples/sec accuracy=46.234375 loss=2.338349 lr=0.066040 Epoch[092] Batch [0199]/[1880] Speed: 105.799721 samples/sec accuracy=45.781250 loss=2.353815 lr=0.066017 Epoch[092] Batch [0249]/[1880] Speed: 115.156302 samples/sec accuracy=45.656250 loss=2.358171 lr=0.065994 Epoch[092] Batch [0299]/[1880] Speed: 105.024530 samples/sec accuracy=45.651042 loss=2.360013 lr=0.065971 Epoch[092] Batch [0349]/[1880] Speed: 114.236418 samples/sec accuracy=45.629464 loss=2.363761 lr=0.065948 Epoch[092] Batch [0399]/[1880] Speed: 105.879434 samples/sec accuracy=45.578125 loss=2.363832 lr=0.065925 Epoch[092] Batch [0449]/[1880] Speed: 112.194178 samples/sec accuracy=45.602431 loss=2.365094 lr=0.065902 Epoch[092] Batch [0499]/[1880] Speed: 110.362071 samples/sec accuracy=45.557812 loss=2.364578 lr=0.065879 Epoch[092] Batch [0549]/[1880] Speed: 107.105739 samples/sec accuracy=45.531250 loss=2.364570 lr=0.065856 Epoch[092] Batch [0599]/[1880] Speed: 113.924140 samples/sec accuracy=45.454427 loss=2.366230 lr=0.065833 Epoch[092] Batch [0649]/[1880] Speed: 108.130079 samples/sec accuracy=45.397837 loss=2.368277 lr=0.065809 Epoch[092] Batch [0699]/[1880] Speed: 107.558223 samples/sec accuracy=45.363839 loss=2.368314 lr=0.065786 Epoch[092] Batch [0749]/[1880] Speed: 115.612724 samples/sec accuracy=45.360417 loss=2.366954 lr=0.065763 Epoch[092] Batch [0799]/[1880] Speed: 105.028132 samples/sec accuracy=45.407227 loss=2.365099 lr=0.065740 Epoch[092] Batch [0849]/[1880] Speed: 109.940529 samples/sec accuracy=45.402574 loss=2.367423 lr=0.065717 Epoch[092] Batch [0899]/[1880] Speed: 109.556304 samples/sec accuracy=45.426215 loss=2.368847 lr=0.065694 Epoch[092] Batch [0949]/[1880] Speed: 108.718661 samples/sec accuracy=45.462171 loss=2.368206 lr=0.065671 Epoch[092] Batch [0999]/[1880] Speed: 116.343101 samples/sec accuracy=45.422656 loss=2.369208 lr=0.065648 Epoch[092] Batch [1049]/[1880] Speed: 105.942285 samples/sec accuracy=45.415179 loss=2.370758 lr=0.065625 Epoch[092] Batch [1099]/[1880] Speed: 111.195923 samples/sec accuracy=45.409801 loss=2.370610 lr=0.065602 Epoch[092] Batch [1149]/[1880] Speed: 106.477358 samples/sec accuracy=45.425272 loss=2.370932 lr=0.065579 Epoch[092] Batch [1199]/[1880] Speed: 112.373777 samples/sec accuracy=45.464844 loss=2.369719 lr=0.065556 Epoch[092] Batch [1249]/[1880] Speed: 108.509081 samples/sec accuracy=45.483750 loss=2.370517 lr=0.065533 Epoch[092] Batch [1299]/[1880] Speed: 110.156388 samples/sec accuracy=45.503606 loss=2.369977 lr=0.065509 Epoch[092] Batch [1349]/[1880] Speed: 112.586145 samples/sec accuracy=45.476273 loss=2.371483 lr=0.065486 Epoch[092] Batch [1399]/[1880] Speed: 109.016818 samples/sec accuracy=45.487723 loss=2.370945 lr=0.065463 Epoch[092] Batch [1449]/[1880] Speed: 107.773976 samples/sec accuracy=45.488147 loss=2.372071 lr=0.065440 Epoch[092] Batch [1499]/[1880] Speed: 109.536544 samples/sec accuracy=45.418750 loss=2.374574 lr=0.065417 Epoch[092] Batch [1549]/[1880] Speed: 111.080582 samples/sec accuracy=45.434476 loss=2.374168 lr=0.065394 Epoch[092] Batch [1599]/[1880] Speed: 106.199074 samples/sec accuracy=45.385254 loss=2.375547 lr=0.065371 Epoch[092] Batch [1649]/[1880] Speed: 114.803870 samples/sec accuracy=45.399621 loss=2.375800 lr=0.065348 Epoch[092] Batch [1699]/[1880] Speed: 110.181851 samples/sec accuracy=45.367188 loss=2.377782 lr=0.065325 Epoch[092] Batch [1749]/[1880] Speed: 110.477926 samples/sec accuracy=45.383482 loss=2.378274 lr=0.065301 Epoch[092] Batch [1799]/[1880] Speed: 107.037916 samples/sec accuracy=45.371094 loss=2.378940 lr=0.065278 Epoch[092] Batch [1849]/[1880] Speed: 111.268343 samples/sec accuracy=45.372044 loss=2.379680 lr=0.065255 Batch [0049]/[0151]: acc-top1=42.625000 acc-top5=68.875000 Batch [0099]/[0151]: acc-top1=47.281250 acc-top5=71.781250 Batch [0149]/[0151]: acc-top1=45.734375 acc-top5=71.468750 [Epoch 092] training: accuracy=45.357380 loss=2.380862 [Epoch 092] speed: 109 samples/sec time cost: 2399.700547 [Epoch 092] validation: acc-top1=45.622930 acc-top5=71.342094 loss=2.411257 Epoch[093] Batch [0049]/[1879] Speed: 76.862703 samples/sec accuracy=47.687500 loss=2.284940 lr=0.065218 Epoch[093] Batch [0099]/[1879] Speed: 111.758788 samples/sec accuracy=47.453125 loss=2.307060 lr=0.065195 Epoch[093] Batch [0149]/[1879] Speed: 109.215282 samples/sec accuracy=47.026042 loss=2.314741 lr=0.065172 Epoch[093] Batch 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accuracy=46.040865 loss=2.353646 lr=0.064940 Epoch[093] Batch [0699]/[1879] Speed: 113.240151 samples/sec accuracy=46.021205 loss=2.353632 lr=0.064917 Epoch[093] Batch [0749]/[1879] Speed: 106.108299 samples/sec accuracy=46.002083 loss=2.353165 lr=0.064894 Epoch[093] Batch [0799]/[1879] Speed: 109.258656 samples/sec accuracy=46.021484 loss=2.351517 lr=0.064870 Epoch[093] Batch [0849]/[1879] Speed: 106.649599 samples/sec accuracy=46.045037 loss=2.349878 lr=0.064847 Epoch[093] Batch [0899]/[1879] Speed: 112.868721 samples/sec accuracy=45.968750 loss=2.352220 lr=0.064824 Epoch[093] Batch [0949]/[1879] Speed: 111.856178 samples/sec accuracy=45.966283 loss=2.353900 lr=0.064801 Epoch[093] Batch [0999]/[1879] Speed: 104.608972 samples/sec accuracy=45.939062 loss=2.354890 lr=0.064778 Epoch[093] Batch [1049]/[1879] Speed: 110.145260 samples/sec accuracy=45.892857 loss=2.356438 lr=0.064754 Epoch[093] Batch [1099]/[1879] Speed: 110.106275 samples/sec accuracy=45.880682 loss=2.357607 lr=0.064731 Epoch[093] Batch [1149]/[1879] Speed: 113.051832 samples/sec accuracy=45.887908 loss=2.357365 lr=0.064708 Epoch[093] Batch [1199]/[1879] Speed: 105.020872 samples/sec accuracy=45.947266 loss=2.355744 lr=0.064685 Epoch[093] Batch [1249]/[1879] Speed: 116.006432 samples/sec accuracy=45.921875 loss=2.356587 lr=0.064661 Epoch[093] Batch [1299]/[1879] Speed: 105.966493 samples/sec accuracy=45.897236 loss=2.356832 lr=0.064638 Epoch[093] Batch [1349]/[1879] Speed: 106.110011 samples/sec accuracy=45.870949 loss=2.358389 lr=0.064615 Epoch[093] Batch [1399]/[1879] Speed: 117.339873 samples/sec accuracy=45.857701 loss=2.359187 lr=0.064592 Epoch[093] Batch [1449]/[1879] Speed: 108.163293 samples/sec accuracy=45.822737 loss=2.360478 lr=0.064569 Epoch[093] Batch [1499]/[1879] Speed: 106.819443 samples/sec accuracy=45.794792 loss=2.362743 lr=0.064545 Epoch[093] Batch [1549]/[1879] Speed: 115.919882 samples/sec accuracy=45.788810 loss=2.364031 lr=0.064522 Epoch[093] Batch [1599]/[1879] Speed: 104.673014 samples/sec accuracy=45.787598 loss=2.364459 lr=0.064499 Epoch[093] Batch [1649]/[1879] Speed: 113.389189 samples/sec accuracy=45.753788 loss=2.365522 lr=0.064475 Epoch[093] Batch [1699]/[1879] Speed: 104.613776 samples/sec accuracy=45.753217 loss=2.366372 lr=0.064452 Epoch[093] Batch [1749]/[1879] Speed: 112.282695 samples/sec accuracy=45.744643 loss=2.367219 lr=0.064429 Epoch[093] Batch [1799]/[1879] Speed: 104.091997 samples/sec accuracy=45.736979 loss=2.367363 lr=0.064406 Epoch[093] Batch [1849]/[1879] Speed: 112.922568 samples/sec accuracy=45.728463 loss=2.368994 lr=0.064382 Batch [0049]/[0151]: acc-top1=43.750000 acc-top5=68.859375 Batch [0099]/[0151]: acc-top1=47.750000 acc-top5=71.250000 Batch [0149]/[0151]: acc-top1=46.385417 acc-top5=70.994792 [Epoch 093] training: accuracy=45.713312 loss=2.369853 [Epoch 093] speed: 108 samples/sec time cost: 2405.941698 [Epoch 093] validation: acc-top1=46.290356 acc-top5=70.912666 loss=2.401818 Epoch[094] Batch [0049]/[1880] Speed: 75.831758 samples/sec accuracy=46.546875 loss=2.350668 lr=0.064346 Epoch[094] Batch [0099]/[1880] Speed: 109.515089 samples/sec accuracy=46.593750 loss=2.331734 lr=0.064322 Epoch[094] Batch [0149]/[1880] Speed: 102.611836 samples/sec accuracy=46.458333 loss=2.332025 lr=0.064299 Epoch[094] Batch [0199]/[1880] Speed: 104.154127 samples/sec accuracy=46.320312 loss=2.331015 lr=0.064276 Epoch[094] Batch [0249]/[1880] Speed: 104.968130 samples/sec accuracy=46.096875 loss=2.335128 lr=0.064252 Epoch[094] Batch [0299]/[1880] Speed: 104.192335 samples/sec accuracy=46.164062 loss=2.337830 lr=0.064229 Epoch[094] Batch [0349]/[1880] Speed: 104.120876 samples/sec accuracy=46.127232 loss=2.339213 lr=0.064206 Epoch[094] Batch [0399]/[1880] Speed: 102.889940 samples/sec accuracy=46.027344 loss=2.342066 lr=0.064183 Epoch[094] Batch [0449]/[1880] Speed: 109.390822 samples/sec accuracy=46.032986 loss=2.344299 lr=0.064159 Epoch[094] Batch [0499]/[1880] Speed: 106.400264 samples/sec accuracy=46.106250 loss=2.341629 lr=0.064136 Epoch[094] Batch [0549]/[1880] Speed: 99.453277 samples/sec accuracy=46.066761 loss=2.342963 lr=0.064113 Epoch[094] Batch [0599]/[1880] Speed: 109.260673 samples/sec accuracy=46.082031 loss=2.344177 lr=0.064089 Epoch[094] Batch [0649]/[1880] Speed: 101.021095 samples/sec accuracy=46.014423 loss=2.347339 lr=0.064066 Epoch[094] Batch [0699]/[1880] Speed: 107.315112 samples/sec accuracy=45.970982 loss=2.347455 lr=0.064043 Epoch[094] Batch [0749]/[1880] Speed: 105.598993 samples/sec accuracy=45.895833 loss=2.350593 lr=0.064019 Epoch[094] Batch [0799]/[1880] Speed: 101.970812 samples/sec accuracy=45.848633 loss=2.353534 lr=0.063996 Epoch[094] Batch [0849]/[1880] Speed: 111.077660 samples/sec accuracy=45.825368 loss=2.354196 lr=0.063973 Epoch[094] Batch [0899]/[1880] Speed: 99.027044 samples/sec accuracy=45.826389 loss=2.355978 lr=0.063949 Epoch[094] Batch [0949]/[1880] Speed: 112.212262 samples/sec accuracy=45.856908 loss=2.353953 lr=0.063926 Epoch[094] Batch [0999]/[1880] Speed: 97.985386 samples/sec accuracy=45.838281 loss=2.354725 lr=0.063903 Epoch[094] Batch [1049]/[1880] Speed: 108.942811 samples/sec accuracy=45.824405 loss=2.355171 lr=0.063879 Epoch[094] Batch [1099]/[1880] Speed: 99.850481 samples/sec accuracy=45.840199 loss=2.355645 lr=0.063856 Epoch[094] Batch [1149]/[1880] Speed: 107.556929 samples/sec accuracy=45.846467 loss=2.355807 lr=0.063833 Epoch[094] Batch [1199]/[1880] Speed: 106.069775 samples/sec accuracy=45.856771 loss=2.355975 lr=0.063809 Epoch[094] Batch [1249]/[1880] Speed: 104.681896 samples/sec accuracy=45.879375 loss=2.356151 lr=0.063786 Epoch[094] Batch [1299]/[1880] Speed: 104.439393 samples/sec accuracy=45.879808 loss=2.355620 lr=0.063763 Epoch[094] Batch [1349]/[1880] Speed: 104.289489 samples/sec accuracy=45.853588 loss=2.357480 lr=0.063739 Epoch[094] Batch [1399]/[1880] Speed: 107.700627 samples/sec accuracy=45.797991 loss=2.359436 lr=0.063716 Epoch[094] Batch [1449]/[1880] Speed: 101.784260 samples/sec accuracy=45.747306 loss=2.361289 lr=0.063692 Epoch[094] Batch [1499]/[1880] Speed: 109.303747 samples/sec accuracy=45.755208 loss=2.360577 lr=0.063669 Epoch[094] Batch [1549]/[1880] Speed: 99.225964 samples/sec accuracy=45.702117 loss=2.362397 lr=0.063646 Epoch[094] Batch [1599]/[1880] Speed: 107.562103 samples/sec accuracy=45.666016 loss=2.364178 lr=0.063622 Epoch[094] Batch [1649]/[1880] Speed: 103.017796 samples/sec accuracy=45.681818 loss=2.363858 lr=0.063599 Epoch[094] Batch [1699]/[1880] Speed: 107.883009 samples/sec accuracy=45.677390 loss=2.363374 lr=0.063576 Epoch[094] Batch [1749]/[1880] Speed: 107.061310 samples/sec accuracy=45.712054 loss=2.362834 lr=0.063552 Epoch[094] Batch [1799]/[1880] Speed: 100.065271 samples/sec accuracy=45.718316 loss=2.363508 lr=0.063529 Epoch[094] Batch [1849]/[1880] Speed: 109.197114 samples/sec accuracy=45.684544 loss=2.365409 lr=0.063505 Batch [0049]/[0151]: acc-top1=42.828125 acc-top5=69.046875 Batch [0099]/[0151]: acc-top1=47.546875 acc-top5=71.992188 Batch [0149]/[0151]: acc-top1=46.348958 acc-top5=71.921875 [Epoch 094] training: accuracy=45.680685 loss=2.365670 [Epoch 094] speed: 104 samples/sec time cost: 2508.938948 [Epoch 094] validation: acc-top1=46.300704 acc-top5=71.895695 loss=2.361646 Epoch[095] Batch [0049]/[1880] Speed: 74.443059 samples/sec accuracy=48.484375 loss=2.264874 lr=0.063468 Epoch[095] Batch [0099]/[1880] Speed: 106.893992 samples/sec accuracy=47.835938 loss=2.285459 lr=0.063445 Epoch[095] Batch [0149]/[1880] Speed: 107.437591 samples/sec accuracy=47.468750 loss=2.294479 lr=0.063421 Epoch[095] Batch [0199]/[1880] Speed: 102.243289 samples/sec accuracy=47.226562 loss=2.298967 lr=0.063398 Epoch[095] Batch [0249]/[1880] Speed: 106.741484 samples/sec accuracy=47.025000 loss=2.306318 lr=0.063374 Epoch[095] Batch [0299]/[1880] Speed: 101.162714 samples/sec accuracy=46.960938 loss=2.300541 lr=0.063351 Epoch[095] Batch [0349]/[1880] Speed: 110.004136 samples/sec accuracy=46.897321 loss=2.307430 lr=0.063327 Epoch[095] Batch [0399]/[1880] Speed: 101.252903 samples/sec accuracy=46.849609 loss=2.313326 lr=0.063304 Epoch[095] Batch [0449]/[1880] Speed: 107.267339 samples/sec accuracy=46.753472 loss=2.317814 lr=0.063281 Epoch[095] Batch [0499]/[1880] Speed: 103.503986 samples/sec accuracy=46.631250 loss=2.322640 lr=0.063257 Epoch[095] Batch [0549]/[1880] Speed: 106.012335 samples/sec accuracy=46.609375 loss=2.323770 lr=0.063234 Epoch[095] Batch [0599]/[1880] Speed: 106.176406 samples/sec accuracy=46.513021 loss=2.328541 lr=0.063210 Epoch[095] Batch [0649]/[1880] Speed: 101.865409 samples/sec accuracy=46.508413 loss=2.329901 lr=0.063187 Epoch[095] Batch [0699]/[1880] Speed: 109.835227 samples/sec accuracy=46.511161 loss=2.330574 lr=0.063163 Epoch[095] Batch [0749]/[1880] Speed: 100.901584 samples/sec accuracy=46.403125 loss=2.335568 lr=0.063140 Epoch[095] Batch [0799]/[1880] Speed: 109.060437 samples/sec accuracy=46.376953 loss=2.335711 lr=0.063117 Epoch[095] Batch [0849]/[1880] Speed: 100.593718 samples/sec accuracy=46.266544 loss=2.339624 lr=0.063093 Epoch[095] Batch [0899]/[1880] Speed: 108.715843 samples/sec accuracy=46.229167 loss=2.342246 lr=0.063070 Epoch[095] Batch [0949]/[1880] Speed: 100.954900 samples/sec accuracy=46.189967 loss=2.342671 lr=0.063046 Epoch[095] Batch [0999]/[1880] Speed: 107.044222 samples/sec accuracy=46.159375 loss=2.344830 lr=0.063023 Epoch[095] Batch [1049]/[1880] Speed: 98.357988 samples/sec accuracy=46.169643 loss=2.344231 lr=0.062999 Epoch[095] Batch [1099]/[1880] Speed: 111.035801 samples/sec accuracy=46.176847 loss=2.343497 lr=0.062976 Epoch[095] Batch [1149]/[1880] Speed: 99.478177 samples/sec accuracy=46.168478 loss=2.344852 lr=0.062952 Epoch[095] Batch [1199]/[1880] Speed: 107.925642 samples/sec accuracy=46.135417 loss=2.346800 lr=0.062929 Epoch[095] Batch [1249]/[1880] Speed: 104.713193 samples/sec accuracy=46.150000 loss=2.346759 lr=0.062905 Epoch[095] Batch [1299]/[1880] Speed: 103.612468 samples/sec accuracy=46.140024 loss=2.347591 lr=0.062882 Epoch[095] Batch [1349]/[1880] Speed: 105.175413 samples/sec accuracy=46.126157 loss=2.347721 lr=0.062858 Epoch[095] Batch [1399]/[1880] Speed: 105.175837 samples/sec accuracy=46.102679 loss=2.348610 lr=0.062835 Epoch[095] Batch [1449]/[1880] Speed: 103.824051 samples/sec accuracy=46.076509 loss=2.348158 lr=0.062811 Epoch[095] Batch [1499]/[1880] Speed: 105.366560 samples/sec accuracy=46.123958 loss=2.346484 lr=0.062788 Epoch[095] Batch [1549]/[1880] Speed: 110.470588 samples/sec accuracy=46.105847 loss=2.347698 lr=0.062764 Epoch[095] Batch [1599]/[1880] Speed: 101.589781 samples/sec accuracy=46.102539 loss=2.348223 lr=0.062741 Epoch[095] Batch [1649]/[1880] Speed: 105.868904 samples/sec accuracy=46.054924 loss=2.349964 lr=0.062717 Epoch[095] Batch [1699]/[1880] Speed: 101.683862 samples/sec accuracy=46.048254 loss=2.350637 lr=0.062694 Epoch[095] Batch [1749]/[1880] Speed: 106.390786 samples/sec accuracy=46.036607 loss=2.351326 lr=0.062670 Epoch[095] Batch [1799]/[1880] Speed: 105.637471 samples/sec accuracy=46.039931 loss=2.351602 lr=0.062647 Epoch[095] Batch [1849]/[1880] Speed: 103.060588 samples/sec accuracy=46.026182 loss=2.352205 lr=0.062623 Batch [0049]/[0151]: acc-top1=42.437500 acc-top5=67.781250 Batch [0099]/[0151]: acc-top1=46.765625 acc-top5=71.250000 Batch [0149]/[0151]: acc-top1=46.020833 acc-top5=71.098958 [Epoch 095] training: accuracy=46.023105 loss=2.351941 [Epoch 095] speed: 104 samples/sec time cost: 2510.037056 [Epoch 095] validation: acc-top1=45.985099 acc-top5=71.088576 loss=2.421558 Epoch[096] Batch [0049]/[1880] Speed: 73.477537 samples/sec accuracy=47.546875 loss=2.283280 lr=0.062586 Epoch[096] Batch [0099]/[1880] Speed: 108.147753 samples/sec accuracy=47.242188 loss=2.300741 lr=0.062562 Epoch[096] Batch [0149]/[1880] Speed: 103.938541 samples/sec accuracy=47.302083 loss=2.309335 lr=0.062539 Epoch[096] Batch [0199]/[1880] Speed: 104.742125 samples/sec accuracy=47.128906 loss=2.313200 lr=0.062515 Epoch[096] Batch [0249]/[1880] Speed: 107.640049 samples/sec accuracy=47.075000 loss=2.324309 lr=0.062492 Epoch[096] Batch [0299]/[1880] Speed: 100.881088 samples/sec accuracy=47.026042 loss=2.322288 lr=0.062468 Epoch[096] Batch [0349]/[1880] Speed: 105.162510 samples/sec accuracy=47.011161 loss=2.314826 lr=0.062445 Epoch[096] Batch [0399]/[1880] Speed: 105.844766 samples/sec accuracy=46.972656 loss=2.313938 lr=0.062421 Epoch[096] Batch [0449]/[1880] Speed: 104.189061 samples/sec accuracy=46.859375 loss=2.317675 lr=0.062398 Epoch[096] Batch [0499]/[1880] Speed: 109.627007 samples/sec accuracy=46.779688 loss=2.321974 lr=0.062374 Epoch[096] Batch [0549]/[1880] Speed: 97.493392 samples/sec accuracy=46.755682 loss=2.321594 lr=0.062350 Epoch[096] Batch [0599]/[1880] Speed: 108.413849 samples/sec accuracy=46.761719 loss=2.322303 lr=0.062327 Epoch[096] Batch [0649]/[1880] Speed: 103.924211 samples/sec accuracy=46.730769 loss=2.323575 lr=0.062303 Epoch[096] Batch [0699]/[1880] Speed: 104.993655 samples/sec accuracy=46.707589 loss=2.325024 lr=0.062280 Epoch[096] Batch [0749]/[1880] Speed: 106.301815 samples/sec accuracy=46.723958 loss=2.322954 lr=0.062256 Epoch[096] Batch [0799]/[1880] Speed: 101.145252 samples/sec accuracy=46.698242 loss=2.326418 lr=0.062233 Epoch[096] Batch [0849]/[1880] Speed: 109.043539 samples/sec accuracy=46.672794 loss=2.325700 lr=0.062209 Epoch[096] Batch [0899]/[1880] Speed: 100.369096 samples/sec accuracy=46.540799 loss=2.329498 lr=0.062186 Epoch[096] Batch [0949]/[1880] Speed: 105.970783 samples/sec accuracy=46.578125 loss=2.327615 lr=0.062162 Epoch[096] Batch [0999]/[1880] Speed: 106.917211 samples/sec accuracy=46.564844 loss=2.329934 lr=0.062138 Epoch[096] Batch [1049]/[1880] Speed: 105.770997 samples/sec accuracy=46.561756 loss=2.329826 lr=0.062115 Epoch[096] Batch [1099]/[1880] Speed: 99.562793 samples/sec accuracy=46.563210 loss=2.328999 lr=0.062091 Epoch[096] Batch [1149]/[1880] Speed: 110.939137 samples/sec accuracy=46.504076 loss=2.330726 lr=0.062068 Epoch[096] Batch [1199]/[1880] Speed: 97.777739 samples/sec accuracy=46.455078 loss=2.332583 lr=0.062044 Epoch[096] Batch [1249]/[1880] Speed: 111.580742 samples/sec accuracy=46.416250 loss=2.334046 lr=0.062020 Epoch[096] Batch [1299]/[1880] Speed: 98.871044 samples/sec accuracy=46.368990 loss=2.337454 lr=0.061997 Epoch[096] Batch [1349]/[1880] Speed: 109.594944 samples/sec accuracy=46.307292 loss=2.339270 lr=0.061973 Epoch[096] Batch [1399]/[1880] Speed: 111.953608 samples/sec accuracy=46.272879 loss=2.341279 lr=0.061950 Epoch[096] Batch [1449]/[1880] Speed: 99.171997 samples/sec accuracy=46.262931 loss=2.342098 lr=0.061926 Epoch[096] Batch [1499]/[1880] Speed: 108.114940 samples/sec accuracy=46.237500 loss=2.342908 lr=0.061903 Epoch[096] Batch [1549]/[1880] Speed: 100.062208 samples/sec accuracy=46.220766 loss=2.343638 lr=0.061879 Epoch[096] Batch [1599]/[1880] Speed: 110.954279 samples/sec accuracy=46.213867 loss=2.344495 lr=0.061855 Epoch[096] Batch [1649]/[1880] Speed: 99.750797 samples/sec accuracy=46.196023 loss=2.345295 lr=0.061832 Epoch[096] Batch [1699]/[1880] Speed: 109.192926 samples/sec accuracy=46.179228 loss=2.346115 lr=0.061808 Epoch[096] Batch [1749]/[1880] Speed: 103.135265 samples/sec accuracy=46.166964 loss=2.346426 lr=0.061784 Epoch[096] Batch [1799]/[1880] Speed: 105.328919 samples/sec accuracy=46.125434 loss=2.348014 lr=0.061761 Epoch[096] Batch [1849]/[1880] Speed: 99.512717 samples/sec accuracy=46.111909 loss=2.348479 lr=0.061737 Batch [0049]/[0151]: acc-top1=42.406250 acc-top5=68.812500 Batch [0099]/[0151]: acc-top1=46.679688 acc-top5=71.335938 Batch [0149]/[0151]: acc-top1=45.916667 acc-top5=71.156250 [Epoch 096] training: accuracy=46.112035 loss=2.348683 [Epoch 096] speed: 104 samples/sec time cost: 2512.953330 [Epoch 096] validation: acc-top1=45.871275 acc-top5=71.093750 loss=2.435577 Epoch[097] Batch [0049]/[1880] Speed: 74.999059 samples/sec accuracy=47.484375 loss=2.278529 lr=0.061699 Epoch[097] Batch 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accuracy=46.990057 loss=2.297530 lr=0.061463 Epoch[097] Batch [0599]/[1880] Speed: 106.724463 samples/sec accuracy=46.912760 loss=2.303835 lr=0.061439 Epoch[097] Batch [0649]/[1880] Speed: 104.088555 samples/sec accuracy=46.927885 loss=2.305335 lr=0.061416 Epoch[097] Batch [0699]/[1880] Speed: 105.353263 samples/sec accuracy=46.845982 loss=2.312830 lr=0.061392 Epoch[097] Batch [0749]/[1880] Speed: 104.398730 samples/sec accuracy=46.744792 loss=2.317989 lr=0.061368 Epoch[097] Batch [0799]/[1880] Speed: 103.503790 samples/sec accuracy=46.649414 loss=2.322121 lr=0.061345 Epoch[097] Batch [0849]/[1880] Speed: 107.555321 samples/sec accuracy=46.669118 loss=2.321480 lr=0.061321 Epoch[097] Batch [0899]/[1880] Speed: 103.137680 samples/sec accuracy=46.637153 loss=2.322788 lr=0.061297 Epoch[097] Batch [0949]/[1880] Speed: 106.755017 samples/sec accuracy=46.645559 loss=2.322842 lr=0.061274 Epoch[097] Batch [0999]/[1880] Speed: 100.666591 samples/sec accuracy=46.601562 loss=2.323891 lr=0.061250 Epoch[097] Batch [1049]/[1880] Speed: 107.454319 samples/sec accuracy=46.598958 loss=2.324215 lr=0.061226 Epoch[097] Batch [1099]/[1880] Speed: 102.439355 samples/sec accuracy=46.626420 loss=2.322759 lr=0.061203 Epoch[097] Batch [1149]/[1880] Speed: 110.721940 samples/sec accuracy=46.595788 loss=2.326203 lr=0.061179 Epoch[097] Batch [1199]/[1880] Speed: 99.658296 samples/sec accuracy=46.559896 loss=2.325696 lr=0.061155 Epoch[097] Batch [1249]/[1880] Speed: 106.245552 samples/sec accuracy=46.561875 loss=2.326587 lr=0.061132 Epoch[097] Batch [1299]/[1880] Speed: 102.595233 samples/sec accuracy=46.534856 loss=2.327289 lr=0.061108 Epoch[097] Batch [1349]/[1880] Speed: 108.993173 samples/sec accuracy=46.528356 loss=2.328142 lr=0.061084 Epoch[097] Batch [1399]/[1880] Speed: 110.655901 samples/sec accuracy=46.498326 loss=2.329854 lr=0.061061 Epoch[097] Batch [1449]/[1880] Speed: 99.332484 samples/sec accuracy=46.470366 loss=2.329973 lr=0.061037 Epoch[097] Batch [1499]/[1880] Speed: 108.079036 samples/sec accuracy=46.464062 loss=2.331054 lr=0.061013 Epoch[097] Batch [1549]/[1880] Speed: 99.569056 samples/sec accuracy=46.474798 loss=2.330655 lr=0.060989 Epoch[097] Batch [1599]/[1880] Speed: 109.941304 samples/sec accuracy=46.460449 loss=2.331264 lr=0.060966 Epoch[097] Batch [1649]/[1880] Speed: 100.618511 samples/sec accuracy=46.449811 loss=2.331667 lr=0.060942 Epoch[097] Batch [1699]/[1880] Speed: 103.802019 samples/sec accuracy=46.443474 loss=2.332348 lr=0.060918 Epoch[097] Batch [1749]/[1880] Speed: 108.637790 samples/sec accuracy=46.408036 loss=2.332270 lr=0.060895 Epoch[097] Batch [1799]/[1880] Speed: 107.866344 samples/sec accuracy=46.397569 loss=2.333108 lr=0.060871 Epoch[097] Batch [1849]/[1880] Speed: 101.204847 samples/sec accuracy=46.365287 loss=2.334742 lr=0.060847 Batch [0049]/[0151]: acc-top1=45.156250 acc-top5=69.953125 Batch [0099]/[0151]: acc-top1=48.351562 acc-top5=72.437500 Batch [0149]/[0151]: acc-top1=47.109375 acc-top5=72.036458 [Epoch 097] training: accuracy=46.339761 loss=2.336541 [Epoch 097] speed: 104 samples/sec time cost: 2508.291107 [Epoch 097] validation: acc-top1=47.035389 acc-top5=71.952608 loss=2.361839 Epoch[098] Batch [0049]/[1879] Speed: 74.151355 samples/sec accuracy=47.578125 loss=2.272964 lr=0.060809 Epoch[098] Batch [0099]/[1879] Speed: 106.986137 samples/sec accuracy=47.171875 loss=2.287072 lr=0.060785 Epoch[098] Batch [0149]/[1879] Speed: 101.786746 samples/sec accuracy=47.421875 loss=2.280280 lr=0.060762 Epoch[098] Batch [0199]/[1879] Speed: 106.169341 samples/sec accuracy=47.632812 loss=2.280325 lr=0.060738 Epoch[098] Batch [0249]/[1879] Speed: 108.387347 samples/sec accuracy=47.671875 loss=2.277052 lr=0.060714 Epoch[098] Batch [0299]/[1879] Speed: 101.951723 samples/sec accuracy=47.567708 loss=2.280767 lr=0.060690 Epoch[098] Batch [0349]/[1879] Speed: 103.838676 samples/sec accuracy=47.515625 loss=2.287961 lr=0.060667 Epoch[098] Batch [0399]/[1879] Speed: 105.377678 samples/sec accuracy=47.427734 loss=2.289032 lr=0.060643 Epoch[098] Batch [0449]/[1879] Speed: 108.328329 samples/sec accuracy=47.368056 loss=2.286470 lr=0.060619 Epoch[098] Batch [0499]/[1879] Speed: 100.391400 samples/sec accuracy=47.354687 loss=2.288581 lr=0.060596 Epoch[098] Batch [0549]/[1879] Speed: 110.478912 samples/sec accuracy=47.285511 loss=2.291355 lr=0.060572 Epoch[098] Batch [0599]/[1879] Speed: 98.125239 samples/sec accuracy=47.209635 loss=2.293354 lr=0.060548 Epoch[098] Batch [0649]/[1879] Speed: 110.676371 samples/sec accuracy=47.137019 loss=2.297925 lr=0.060524 Epoch[098] Batch [0699]/[1879] Speed: 103.011392 samples/sec accuracy=47.195312 loss=2.297129 lr=0.060500 Epoch[098] Batch [0749]/[1879] Speed: 104.508584 samples/sec accuracy=47.145833 loss=2.300246 lr=0.060477 Epoch[098] Batch [0799]/[1879] Speed: 106.219932 samples/sec accuracy=47.066406 loss=2.304638 lr=0.060453 Epoch[098] Batch [0849]/[1879] Speed: 107.310344 samples/sec accuracy=47.070772 loss=2.303670 lr=0.060429 Epoch[098] Batch [0899]/[1879] Speed: 102.527576 samples/sec accuracy=46.970486 loss=2.306459 lr=0.060405 Epoch[098] Batch [0949]/[1879] Speed: 105.171359 samples/sec accuracy=46.969572 loss=2.306277 lr=0.060382 Epoch[098] Batch [0999]/[1879] Speed: 103.549553 samples/sec accuracy=46.939844 loss=2.308488 lr=0.060358 Epoch[098] Batch [1049]/[1879] Speed: 107.388790 samples/sec accuracy=46.950893 loss=2.308214 lr=0.060334 Epoch[098] Batch [1099]/[1879] Speed: 103.105567 samples/sec accuracy=46.899148 loss=2.312046 lr=0.060310 Epoch[098] Batch [1149]/[1879] Speed: 106.252232 samples/sec accuracy=46.927310 loss=2.312276 lr=0.060287 Epoch[098] Batch [1199]/[1879] Speed: 107.662340 samples/sec accuracy=46.904297 loss=2.315051 lr=0.060263 Epoch[098] Batch [1249]/[1879] Speed: 100.417185 samples/sec accuracy=46.884375 loss=2.316025 lr=0.060239 Epoch[098] Batch [1299]/[1879] Speed: 104.875747 samples/sec accuracy=46.865385 loss=2.317400 lr=0.060215 Epoch[098] Batch [1349]/[1879] Speed: 103.973282 samples/sec accuracy=46.827546 loss=2.319786 lr=0.060191 Epoch[098] Batch [1399]/[1879] Speed: 109.605466 samples/sec accuracy=46.762277 loss=2.321811 lr=0.060168 Epoch[098] Batch [1449]/[1879] Speed: 103.168157 samples/sec accuracy=46.768858 loss=2.321625 lr=0.060144 Epoch[098] Batch [1499]/[1879] Speed: 104.398717 samples/sec accuracy=46.746354 loss=2.322222 lr=0.060120 Epoch[098] Batch [1549]/[1879] Speed: 106.938449 samples/sec accuracy=46.746472 loss=2.322012 lr=0.060096 Epoch[098] Batch [1599]/[1879] Speed: 100.963949 samples/sec accuracy=46.738770 loss=2.323650 lr=0.060072 Epoch[098] Batch [1649]/[1879] Speed: 104.380529 samples/sec accuracy=46.749527 loss=2.323351 lr=0.060049 Epoch[098] Batch [1699]/[1879] Speed: 108.524563 samples/sec accuracy=46.705423 loss=2.325218 lr=0.060025 Epoch[098] Batch [1749]/[1879] Speed: 105.000932 samples/sec accuracy=46.714732 loss=2.325435 lr=0.060001 Epoch[098] Batch [1799]/[1879] Speed: 100.508432 samples/sec accuracy=46.707031 loss=2.325992 lr=0.059977 Epoch[098] Batch [1849]/[1879] Speed: 108.490542 samples/sec accuracy=46.707770 loss=2.326243 lr=0.059953 Batch [0049]/[0151]: acc-top1=44.281250 acc-top5=69.718750 Batch [0099]/[0151]: acc-top1=47.992188 acc-top5=72.039062 Batch [0149]/[0151]: acc-top1=47.026042 acc-top5=72.218750 [Epoch 098] training: accuracy=46.690810 loss=2.327246 [Epoch 098] speed: 104 samples/sec time cost: 2509.099644 [Epoch 098] validation: acc-top1=46.937086 acc-top5=72.138866 loss=2.342627 Epoch[099] Batch [0049]/[1880] Speed: 74.352598 samples/sec accuracy=47.812500 loss=2.267456 lr=0.059916 Epoch[099] Batch [0099]/[1880] Speed: 106.807721 samples/sec accuracy=47.992188 loss=2.257797 lr=0.059892 Epoch[099] Batch [0149]/[1880] Speed: 101.919002 samples/sec accuracy=47.750000 loss=2.262270 lr=0.059868 Epoch[099] Batch [0199]/[1880] Speed: 106.444417 samples/sec accuracy=47.792969 loss=2.258633 lr=0.059844 Epoch[099] Batch [0249]/[1880] Speed: 109.422208 samples/sec accuracy=47.631250 loss=2.264206 lr=0.059820 Epoch[099] Batch [0299]/[1880] Speed: 99.336487 samples/sec accuracy=47.510417 loss=2.269249 lr=0.059797 Epoch[099] Batch [0349]/[1880] Speed: 111.251463 samples/sec accuracy=47.562500 loss=2.270863 lr=0.059773 Epoch[099] Batch [0399]/[1880] Speed: 100.749991 samples/sec accuracy=47.468750 loss=2.278366 lr=0.059749 Epoch[099] Batch [0449]/[1880] Speed: 106.586661 samples/sec accuracy=47.223958 loss=2.285550 lr=0.059725 Epoch[099] Batch [0499]/[1880] Speed: 106.694142 samples/sec accuracy=47.143750 loss=2.285257 lr=0.059701 Epoch[099] Batch [0549]/[1880] Speed: 99.211919 samples/sec accuracy=47.090909 loss=2.286891 lr=0.059677 Epoch[099] Batch [0599]/[1880] Speed: 110.893036 samples/sec accuracy=47.069010 loss=2.286641 lr=0.059654 Epoch[099] Batch [0649]/[1880] Speed: 102.763404 samples/sec accuracy=47.004808 loss=2.289946 lr=0.059630 Epoch[099] Batch [0699]/[1880] Speed: 104.666344 samples/sec accuracy=46.933036 loss=2.295728 lr=0.059606 Epoch[099] Batch [0749]/[1880] Speed: 106.666327 samples/sec accuracy=46.837500 loss=2.300274 lr=0.059582 Epoch[099] Batch [0799]/[1880] Speed: 100.363307 samples/sec accuracy=46.839844 loss=2.302770 lr=0.059558 Epoch[099] Batch [0849]/[1880] Speed: 108.856879 samples/sec accuracy=46.783088 loss=2.305512 lr=0.059534 Epoch[099] Batch [0899]/[1880] Speed: 102.669112 samples/sec accuracy=46.796875 loss=2.307133 lr=0.059510 Epoch[099] Batch [0949]/[1880] Speed: 106.795860 samples/sec accuracy=46.768092 loss=2.309698 lr=0.059487 Epoch[099] Batch [0999]/[1880] Speed: 100.816629 samples/sec accuracy=46.704687 loss=2.311769 lr=0.059463 Epoch[099] Batch [1049]/[1880] Speed: 110.137731 samples/sec accuracy=46.669643 loss=2.313270 lr=0.059439 Epoch[099] Batch [1099]/[1880] Speed: 98.690644 samples/sec accuracy=46.654830 loss=2.314787 lr=0.059415 Epoch[099] Batch [1149]/[1880] Speed: 111.870209 samples/sec accuracy=46.650136 loss=2.314823 lr=0.059391 Epoch[099] Batch [1199]/[1880] Speed: 101.294173 samples/sec accuracy=46.635417 loss=2.315111 lr=0.059367 Epoch[099] Batch [1249]/[1880] Speed: 106.892914 samples/sec accuracy=46.656875 loss=2.316320 lr=0.059343 Epoch[099] Batch [1299]/[1880] Speed: 104.523763 samples/sec accuracy=46.627404 loss=2.317386 lr=0.059320 Epoch[099] Batch [1349]/[1880] Speed: 103.503203 samples/sec accuracy=46.630208 loss=2.317992 lr=0.059296 Epoch[099] Batch [1399]/[1880] Speed: 108.195573 samples/sec accuracy=46.670201 loss=2.315930 lr=0.059272 Epoch[099] Batch [1449]/[1880] Speed: 101.325467 samples/sec accuracy=46.636315 loss=2.316878 lr=0.059248 Epoch[099] Batch [1499]/[1880] Speed: 105.675864 samples/sec accuracy=46.633333 loss=2.317172 lr=0.059224 Epoch[099] Batch [1549]/[1880] Speed: 105.221012 samples/sec accuracy=46.632560 loss=2.317092 lr=0.059200 Epoch[099] Batch [1599]/[1880] Speed: 106.350175 samples/sec accuracy=46.620605 loss=2.318138 lr=0.059176 Epoch[099] Batch [1649]/[1880] Speed: 106.038045 samples/sec accuracy=46.587595 loss=2.320551 lr=0.059152 Epoch[099] Batch [1699]/[1880] Speed: 102.587224 samples/sec accuracy=46.572610 loss=2.321293 lr=0.059128 Epoch[099] Batch [1749]/[1880] Speed: 107.995405 samples/sec accuracy=46.545089 loss=2.322631 lr=0.059105 Epoch[099] Batch [1799]/[1880] Speed: 102.893666 samples/sec accuracy=46.515191 loss=2.323595 lr=0.059081 Epoch[099] Batch [1849]/[1880] Speed: 103.256340 samples/sec accuracy=46.497466 loss=2.325118 lr=0.059057 Batch [0049]/[0151]: acc-top1=43.468750 acc-top5=70.265625 Batch [0099]/[0151]: acc-top1=47.546875 acc-top5=72.078125 Batch [0149]/[0151]: acc-top1=46.531250 acc-top5=71.817708 [Epoch 099] training: accuracy=46.472739 loss=2.326381 [Epoch 099] speed: 104 samples/sec time cost: 2508.771282 [Epoch 099] validation: acc-top1=46.419702 acc-top5=71.781871 loss=2.382322 Epoch[100] Batch [0049]/[1880] Speed: 74.663567 samples/sec accuracy=47.843750 loss=2.267157 lr=0.059019 Epoch[100] Batch [0099]/[1880] Speed: 108.257990 samples/sec accuracy=47.851562 loss=2.275949 lr=0.058995 Epoch[100] Batch [0149]/[1880] Speed: 101.824104 samples/sec accuracy=47.885417 loss=2.274721 lr=0.058971 Epoch[100] Batch [0199]/[1880] Speed: 106.793683 samples/sec accuracy=47.574219 loss=2.283620 lr=0.058947 Epoch[100] Batch [0249]/[1880] Speed: 107.989497 samples/sec accuracy=47.718750 loss=2.287198 lr=0.058923 Epoch[100] Batch [0299]/[1880] Speed: 102.654652 samples/sec accuracy=47.601562 loss=2.288509 lr=0.058899 Epoch[100] Batch [0349]/[1880] Speed: 105.970200 samples/sec accuracy=47.513393 loss=2.285447 lr=0.058875 Epoch[100] Batch [0399]/[1880] Speed: 99.226960 samples/sec accuracy=47.427734 loss=2.285019 lr=0.058851 Epoch[100] Batch [0449]/[1880] Speed: 111.020579 samples/sec accuracy=47.442708 loss=2.284676 lr=0.058827 Epoch[100] Batch [0499]/[1880] Speed: 102.246786 samples/sec accuracy=47.382812 loss=2.289797 lr=0.058803 Epoch[100] Batch [0549]/[1880] Speed: 104.172197 samples/sec accuracy=47.386364 loss=2.289080 lr=0.058779 Epoch[100] Batch [0599]/[1880] Speed: 107.006852 samples/sec accuracy=47.389323 loss=2.289406 lr=0.058755 Epoch[100] Batch [0649]/[1880] Speed: 99.687428 samples/sec accuracy=47.293269 loss=2.292010 lr=0.058732 Epoch[100] Batch [0699]/[1880] Speed: 110.857806 samples/sec accuracy=47.205357 loss=2.294959 lr=0.058708 Epoch[100] Batch [0749]/[1880] Speed: 105.669656 samples/sec accuracy=47.150000 loss=2.296420 lr=0.058684 Epoch[100] Batch [0799]/[1880] Speed: 103.053454 samples/sec accuracy=47.179688 loss=2.296409 lr=0.058660 Epoch[100] Batch [0849]/[1880] Speed: 102.998696 samples/sec accuracy=47.119485 loss=2.298126 lr=0.058636 Epoch[100] Batch [0899]/[1880] Speed: 108.327580 samples/sec accuracy=47.164931 loss=2.297304 lr=0.058612 Epoch[100] Batch [0949]/[1880] Speed: 100.922846 samples/sec accuracy=47.162007 loss=2.297739 lr=0.058588 Epoch[100] Batch [0999]/[1880] Speed: 107.021834 samples/sec accuracy=47.151562 loss=2.297810 lr=0.058564 Epoch[100] Batch [1049]/[1880] Speed: 106.747653 samples/sec accuracy=47.139137 loss=2.298251 lr=0.058540 Epoch[100] Batch [1099]/[1880] Speed: 103.739938 samples/sec accuracy=47.129972 loss=2.298459 lr=0.058516 Epoch[100] Batch [1149]/[1880] Speed: 103.783306 samples/sec accuracy=47.141984 loss=2.298304 lr=0.058492 Epoch[100] Batch [1199]/[1880] Speed: 102.805158 samples/sec accuracy=47.129557 loss=2.298168 lr=0.058468 Epoch[100] Batch [1249]/[1880] Speed: 105.885472 samples/sec accuracy=47.122500 loss=2.299188 lr=0.058444 Epoch[100] Batch [1299]/[1880] Speed: 105.279216 samples/sec accuracy=47.094952 loss=2.300082 lr=0.058420 Epoch[100] Batch [1349]/[1880] Speed: 106.882889 samples/sec accuracy=47.096644 loss=2.299904 lr=0.058396 Epoch[100] Batch [1399]/[1880] Speed: 105.391624 samples/sec accuracy=47.079241 loss=2.299541 lr=0.058372 Epoch[100] Batch [1449]/[1880] Speed: 105.480548 samples/sec accuracy=47.059267 loss=2.300214 lr=0.058348 Epoch[100] Batch [1499]/[1880] Speed: 102.464229 samples/sec accuracy=47.027083 loss=2.301230 lr=0.058324 Epoch[100] Batch [1549]/[1880] Speed: 106.451517 samples/sec accuracy=47.001512 loss=2.302274 lr=0.058301 Epoch[100] Batch [1599]/[1880] Speed: 104.637327 samples/sec accuracy=46.994141 loss=2.303354 lr=0.058277 Epoch[100] Batch [1649]/[1880] Speed: 102.495486 samples/sec accuracy=47.028409 loss=2.303227 lr=0.058253 Epoch[100] Batch [1699]/[1880] Speed: 104.415205 samples/sec accuracy=46.999540 loss=2.304606 lr=0.058229 Epoch[100] Batch [1749]/[1880] Speed: 102.496684 samples/sec accuracy=46.975446 loss=2.306485 lr=0.058205 Epoch[100] Batch [1799]/[1880] Speed: 109.940597 samples/sec accuracy=46.976562 loss=2.307031 lr=0.058181 Epoch[100] Batch [1849]/[1880] Speed: 102.268161 samples/sec accuracy=46.964949 loss=2.307619 lr=0.058157 Batch [0049]/[0151]: acc-top1=40.843750 acc-top5=67.531250 Batch [0099]/[0151]: acc-top1=46.039062 acc-top5=71.226562 Batch [0149]/[0151]: acc-top1=44.875000 acc-top5=70.468750 [Epoch 100] training: accuracy=46.976812 loss=2.307494 [Epoch 100] speed: 104 samples/sec time cost: 2510.399557 [Epoch 100] validation: acc-top1=44.826159 acc-top5=70.441846 loss=2.460860 Epoch[101] Batch [0049]/[1880] Speed: 74.220849 samples/sec accuracy=48.203125 loss=2.249858 lr=0.058118 Epoch[101] Batch [0099]/[1880] Speed: 105.215549 samples/sec accuracy=47.820312 loss=2.252231 lr=0.058094 Epoch[101] Batch [0149]/[1880] Speed: 105.622584 samples/sec accuracy=47.526042 loss=2.276617 lr=0.058070 Epoch[101] Batch [0199]/[1880] Speed: 103.549019 samples/sec accuracy=47.800781 loss=2.267557 lr=0.058046 Epoch[101] Batch [0249]/[1880] Speed: 108.901066 samples/sec accuracy=47.725000 loss=2.264810 lr=0.058022 Epoch[101] Batch [0299]/[1880] Speed: 100.716299 samples/sec accuracy=47.645833 loss=2.269984 lr=0.057998 Epoch[101] Batch [0349]/[1880] Speed: 107.770616 samples/sec accuracy=47.566964 loss=2.273974 lr=0.057974 Epoch[101] Batch [0399]/[1880] Speed: 105.318280 samples/sec accuracy=47.332031 loss=2.284860 lr=0.057950 Epoch[101] Batch [0449]/[1880] Speed: 102.539059 samples/sec accuracy=47.359375 loss=2.287082 lr=0.057926 Epoch[101] Batch [0499]/[1880] Speed: 107.423319 samples/sec accuracy=47.279688 loss=2.291993 lr=0.057902 Epoch[101] Batch [0549]/[1880] Speed: 107.407627 samples/sec accuracy=47.221591 loss=2.296826 lr=0.057878 Epoch[101] Batch [0599]/[1880] Speed: 98.640442 samples/sec accuracy=47.203125 loss=2.299053 lr=0.057854 Epoch[101] Batch [0649]/[1880] Speed: 109.326273 samples/sec accuracy=47.228365 loss=2.297941 lr=0.057830 Epoch[101] Batch [0699]/[1880] Speed: 102.165484 samples/sec accuracy=47.179688 loss=2.299323 lr=0.057806 Epoch[101] Batch [0749]/[1880] Speed: 105.307324 samples/sec accuracy=47.257292 loss=2.296034 lr=0.057782 Epoch[101] Batch [0799]/[1880] Speed: 109.626326 samples/sec accuracy=47.250000 loss=2.295526 lr=0.057758 Epoch[101] Batch [0849]/[1880] Speed: 101.659750 samples/sec accuracy=47.290441 loss=2.294476 lr=0.057734 Epoch[101] Batch [0899]/[1880] Speed: 108.560246 samples/sec accuracy=47.297743 loss=2.295996 lr=0.057710 Epoch[101] Batch 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accuracy=47.113281 loss=2.304124 lr=0.057470 Epoch[101] Batch [1449]/[1880] Speed: 106.727833 samples/sec accuracy=47.134698 loss=2.303967 lr=0.057446 Epoch[101] Batch [1499]/[1880] Speed: 107.360767 samples/sec accuracy=47.119271 loss=2.303918 lr=0.057422 Epoch[101] Batch [1549]/[1880] Speed: 104.142654 samples/sec accuracy=47.107359 loss=2.304400 lr=0.057398 Epoch[101] Batch [1599]/[1880] Speed: 105.702967 samples/sec accuracy=47.076660 loss=2.304613 lr=0.057374 Epoch[101] Batch [1649]/[1880] Speed: 100.970569 samples/sec accuracy=47.057765 loss=2.306344 lr=0.057350 Epoch[101] Batch [1699]/[1880] Speed: 107.549671 samples/sec accuracy=47.039062 loss=2.307274 lr=0.057326 Epoch[101] Batch [1749]/[1880] Speed: 102.313159 samples/sec accuracy=47.012054 loss=2.307915 lr=0.057302 Epoch[101] Batch [1799]/[1880] Speed: 105.346826 samples/sec accuracy=47.002604 loss=2.307835 lr=0.057278 Epoch[101] Batch [1849]/[1880] Speed: 107.960727 samples/sec accuracy=46.967905 loss=2.309266 lr=0.057254 Batch [0049]/[0151]: acc-top1=43.968750 acc-top5=70.531250 Batch [0099]/[0151]: acc-top1=48.093750 acc-top5=72.539062 Batch [0149]/[0151]: acc-top1=46.557292 acc-top5=72.380208 [Epoch 101] training: accuracy=46.962683 loss=2.309686 [Epoch 101] speed: 104 samples/sec time cost: 2511.996951 [Epoch 101] validation: acc-top1=46.502483 acc-top5=72.366515 loss=2.353219 Epoch[102] Batch [0049]/[1880] Speed: 75.142582 samples/sec accuracy=47.328125 loss=2.285198 lr=0.057215 Epoch[102] Batch [0099]/[1880] Speed: 106.223375 samples/sec accuracy=47.429688 loss=2.272000 lr=0.057191 Epoch[102] Batch [0149]/[1880] Speed: 106.443066 samples/sec accuracy=47.541667 loss=2.274003 lr=0.057167 Epoch[102] Batch [0199]/[1880] Speed: 100.761414 samples/sec accuracy=47.906250 loss=2.263040 lr=0.057143 Epoch[102] Batch [0249]/[1880] Speed: 108.014573 samples/sec accuracy=47.950000 loss=2.267971 lr=0.057119 Epoch[102] Batch [0299]/[1880] Speed: 101.398966 samples/sec accuracy=47.927083 loss=2.277431 lr=0.057095 Epoch[102] Batch [0349]/[1880] Speed: 105.568618 samples/sec accuracy=47.993304 loss=2.272413 lr=0.057071 Epoch[102] Batch [0399]/[1880] Speed: 104.656973 samples/sec accuracy=47.917969 loss=2.274779 lr=0.057047 Epoch[102] Batch [0449]/[1880] Speed: 103.964549 samples/sec accuracy=47.836806 loss=2.275266 lr=0.057023 Epoch[102] Batch [0499]/[1880] Speed: 107.901724 samples/sec accuracy=47.728125 loss=2.279695 lr=0.056999 Epoch[102] Batch [0549]/[1880] Speed: 100.598505 samples/sec accuracy=47.744318 loss=2.279889 lr=0.056975 Epoch[102] Batch [0599]/[1880] Speed: 110.266691 samples/sec accuracy=47.774740 loss=2.277175 lr=0.056951 Epoch[102] Batch [0649]/[1880] Speed: 100.411479 samples/sec accuracy=47.680288 loss=2.278968 lr=0.056927 Epoch[102] Batch [0699]/[1880] Speed: 109.214821 samples/sec accuracy=47.625000 loss=2.282507 lr=0.056903 Epoch[102] Batch [0749]/[1880] Speed: 101.017380 samples/sec accuracy=47.539583 loss=2.284881 lr=0.056879 Epoch[102] Batch [0799]/[1880] Speed: 108.168379 samples/sec accuracy=47.526367 loss=2.287256 lr=0.056855 Epoch[102] Batch [0849]/[1880] Speed: 103.976084 samples/sec accuracy=47.528493 loss=2.285427 lr=0.056830 Epoch[102] Batch [0899]/[1880] Speed: 103.731421 samples/sec accuracy=47.500868 loss=2.286749 lr=0.056806 Epoch[102] Batch [0949]/[1880] Speed: 109.242591 samples/sec accuracy=47.472039 loss=2.287042 lr=0.056782 Epoch[102] Batch [0999]/[1880] Speed: 100.021466 samples/sec accuracy=47.459375 loss=2.287300 lr=0.056758 Epoch[102] Batch [1049]/[1880] Speed: 111.338830 samples/sec accuracy=47.418155 loss=2.286543 lr=0.056734 Epoch[102] Batch [1099]/[1880] Speed: 103.703838 samples/sec accuracy=47.362216 loss=2.287581 lr=0.056710 Epoch[102] Batch [1149]/[1880] Speed: 102.528242 samples/sec accuracy=47.301630 loss=2.289810 lr=0.056686 Epoch[102] Batch [1199]/[1880] Speed: 108.792131 samples/sec accuracy=47.300130 loss=2.290983 lr=0.056662 Epoch[102] Batch [1249]/[1880] Speed: 104.035453 samples/sec accuracy=47.262500 loss=2.292454 lr=0.056638 Epoch[102] Batch [1299]/[1880] Speed: 107.956254 samples/sec accuracy=47.266226 loss=2.293033 lr=0.056614 Epoch[102] Batch [1349]/[1880] Speed: 99.867360 samples/sec accuracy=47.299190 loss=2.292972 lr=0.056590 Epoch[102] Batch [1399]/[1880] Speed: 110.313153 samples/sec accuracy=47.301897 loss=2.293907 lr=0.056566 Epoch[102] Batch [1449]/[1880] Speed: 98.507572 samples/sec accuracy=47.261853 loss=2.295342 lr=0.056541 Epoch[102] Batch [1499]/[1880] Speed: 110.476327 samples/sec accuracy=47.245312 loss=2.295495 lr=0.056517 Epoch[102] Batch [1549]/[1880] Speed: 97.594532 samples/sec accuracy=47.233871 loss=2.296159 lr=0.056493 Epoch[102] Batch [1599]/[1880] Speed: 111.427818 samples/sec accuracy=47.237793 loss=2.297212 lr=0.056469 Epoch[102] Batch [1649]/[1880] Speed: 99.600760 samples/sec accuracy=47.258523 loss=2.296021 lr=0.056445 Epoch[102] Batch [1699]/[1880] Speed: 110.021688 samples/sec accuracy=47.267463 loss=2.295621 lr=0.056421 Epoch[102] Batch [1749]/[1880] Speed: 106.579952 samples/sec accuracy=47.262946 loss=2.295876 lr=0.056397 Epoch[102] Batch [1799]/[1880] Speed: 101.591046 samples/sec accuracy=47.279514 loss=2.295426 lr=0.056373 Epoch[102] Batch [1849]/[1880] Speed: 108.853210 samples/sec accuracy=47.252111 loss=2.296273 lr=0.056349 Batch [0049]/[0151]: acc-top1=43.437500 acc-top5=68.968750 Batch [0099]/[0151]: acc-top1=47.726562 acc-top5=72.171875 Batch [0149]/[0151]: acc-top1=46.614583 acc-top5=71.640625 [Epoch 102] training: accuracy=47.264794 loss=2.295659 [Epoch 102] speed: 104 samples/sec time cost: 2511.155825 [Epoch 102] validation: acc-top1=46.528353 acc-top5=71.595613 loss=2.411410 Epoch[103] Batch [0049]/[1880] Speed: 74.430082 samples/sec accuracy=47.765625 loss=2.267375 lr=0.056310 Epoch[103] Batch [0099]/[1880] Speed: 105.908544 samples/sec accuracy=47.640625 loss=2.261410 lr=0.056286 Epoch[103] Batch [0149]/[1880] Speed: 109.409825 samples/sec accuracy=48.057292 loss=2.246649 lr=0.056262 Epoch[103] Batch [0199]/[1880] Speed: 99.309422 samples/sec accuracy=48.117188 loss=2.248845 lr=0.056238 Epoch[103] Batch [0249]/[1880] Speed: 107.726589 samples/sec accuracy=47.950000 loss=2.255136 lr=0.056214 Epoch[103] Batch [0299]/[1880] Speed: 105.048868 samples/sec accuracy=47.911458 loss=2.257260 lr=0.056190 Epoch[103] Batch [0349]/[1880] Speed: 103.490507 samples/sec accuracy=47.832589 loss=2.263461 lr=0.056165 Epoch[103] Batch [0399]/[1880] Speed: 109.180048 samples/sec accuracy=47.722656 loss=2.268847 lr=0.056141 Epoch[103] Batch [0449]/[1880] Speed: 101.205844 samples/sec accuracy=47.862847 loss=2.260408 lr=0.056117 Epoch[103] Batch [0499]/[1880] Speed: 109.104286 samples/sec accuracy=47.864062 loss=2.261773 lr=0.056093 Epoch[103] Batch [0549]/[1880] Speed: 100.415927 samples/sec accuracy=47.839489 loss=2.264374 lr=0.056069 Epoch[103] Batch [0599]/[1880] Speed: 108.407759 samples/sec accuracy=47.848958 loss=2.264413 lr=0.056045 Epoch[103] Batch [0649]/[1880] Speed: 99.672888 samples/sec accuracy=47.826923 loss=2.265461 lr=0.056021 Epoch[103] Batch [0699]/[1880] Speed: 110.034627 samples/sec accuracy=47.864955 loss=2.265864 lr=0.055997 Epoch[103] Batch [0749]/[1880] Speed: 99.723757 samples/sec accuracy=47.856250 loss=2.266547 lr=0.055972 Epoch[103] Batch [0799]/[1880] Speed: 107.709428 samples/sec accuracy=47.831055 loss=2.266323 lr=0.055948 Epoch[103] Batch [0849]/[1880] Speed: 102.688032 samples/sec accuracy=47.811581 loss=2.264891 lr=0.055924 Epoch[103] Batch [0899]/[1880] Speed: 109.748844 samples/sec accuracy=47.790799 loss=2.265441 lr=0.055900 Epoch[103] Batch [0949]/[1880] Speed: 108.501183 samples/sec accuracy=47.805099 loss=2.266919 lr=0.055876 Epoch[103] Batch [0999]/[1880] Speed: 99.033465 samples/sec accuracy=47.789062 loss=2.266902 lr=0.055852 Epoch[103] Batch [1049]/[1880] Speed: 109.180123 samples/sec accuracy=47.750744 loss=2.268146 lr=0.055828 Epoch[103] Batch [1099]/[1880] Speed: 102.265049 samples/sec accuracy=47.737926 loss=2.269276 lr=0.055803 Epoch[103] Batch [1149]/[1880] Speed: 106.306069 samples/sec accuracy=47.684783 loss=2.272106 lr=0.055779 Epoch[103] Batch [1199]/[1880] Speed: 102.788745 samples/sec accuracy=47.666016 loss=2.273143 lr=0.055755 Epoch[103] Batch [1249]/[1880] Speed: 106.138372 samples/sec accuracy=47.641250 loss=2.276012 lr=0.055731 Epoch[103] Batch [1299]/[1880] Speed: 102.451541 samples/sec accuracy=47.683293 loss=2.273642 lr=0.055707 Epoch[103] Batch [1349]/[1880] Speed: 107.232195 samples/sec accuracy=47.660880 loss=2.276072 lr=0.055683 Epoch[103] Batch [1399]/[1880] Speed: 100.119411 samples/sec accuracy=47.591518 loss=2.278069 lr=0.055659 Epoch[103] Batch [1449]/[1880] Speed: 110.267807 samples/sec accuracy=47.553879 loss=2.279438 lr=0.055634 Epoch[103] Batch [1499]/[1880] Speed: 106.039280 samples/sec accuracy=47.530729 loss=2.280576 lr=0.055610 Epoch[103] Batch [1549]/[1880] Speed: 100.803419 samples/sec accuracy=47.506048 loss=2.281323 lr=0.055586 Epoch[103] Batch [1599]/[1880] Speed: 108.025763 samples/sec accuracy=47.484375 loss=2.282219 lr=0.055562 Epoch[103] Batch [1649]/[1880] Speed: 100.483808 samples/sec accuracy=47.461174 loss=2.283026 lr=0.055538 Epoch[103] Batch [1699]/[1880] Speed: 105.449576 samples/sec accuracy=47.448989 loss=2.283501 lr=0.055514 Epoch[103] Batch [1749]/[1880] Speed: 104.792969 samples/sec accuracy=47.405357 loss=2.285108 lr=0.055490 Epoch[103] Batch [1799]/[1880] Speed: 108.827223 samples/sec accuracy=47.395399 loss=2.285533 lr=0.055465 Epoch[103] Batch [1849]/[1880] Speed: 98.507097 samples/sec accuracy=47.390203 loss=2.285511 lr=0.055441 Batch [0049]/[0151]: acc-top1=44.734375 acc-top5=70.484375 Batch [0099]/[0151]: acc-top1=48.414062 acc-top5=72.109375 Batch [0149]/[0151]: acc-top1=46.770833 acc-top5=71.755208 [Epoch 103] training: accuracy=47.370346 loss=2.286732 [Epoch 103] speed: 104 samples/sec time cost: 2512.198803 [Epoch 103] validation: acc-top1=46.714611 acc-top5=71.761175 loss=2.380322 Epoch[104] Batch [0049]/[1879] Speed: 74.833752 samples/sec accuracy=48.078125 loss=2.226655 lr=0.055403 Epoch[104] Batch [0099]/[1879] Speed: 108.048844 samples/sec accuracy=48.523438 loss=2.225028 lr=0.055378 Epoch[104] Batch [0149]/[1879] Speed: 104.232704 samples/sec accuracy=48.197917 loss=2.236196 lr=0.055354 Epoch[104] Batch [0199]/[1879] Speed: 100.987662 samples/sec accuracy=48.128906 loss=2.247797 lr=0.055330 Epoch[104] Batch [0249]/[1879] Speed: 108.340595 samples/sec accuracy=47.990625 loss=2.250293 lr=0.055306 Epoch[104] Batch [0299]/[1879] Speed: 102.782928 samples/sec accuracy=47.984375 loss=2.252574 lr=0.055282 Epoch[104] Batch [0349]/[1879] Speed: 104.139359 samples/sec accuracy=47.854911 loss=2.258501 lr=0.055258 Epoch[104] Batch [0399]/[1879] Speed: 103.387992 samples/sec accuracy=47.773438 loss=2.262589 lr=0.055233 Epoch[104] Batch [0449]/[1879] Speed: 106.857878 samples/sec accuracy=47.781250 loss=2.262656 lr=0.055209 Epoch[104] Batch [0499]/[1879] Speed: 101.613519 samples/sec accuracy=47.903125 loss=2.257741 lr=0.055185 Epoch[104] Batch [0549]/[1879] Speed: 109.234228 samples/sec accuracy=47.887784 loss=2.256135 lr=0.055161 Epoch[104] Batch [0599]/[1879] Speed: 106.075757 samples/sec accuracy=47.880208 loss=2.255460 lr=0.055137 Epoch[104] Batch [0649]/[1879] Speed: 102.420401 samples/sec accuracy=47.840144 loss=2.259055 lr=0.055113 Epoch[104] Batch [0699]/[1879] Speed: 106.326012 samples/sec accuracy=47.893973 loss=2.257545 lr=0.055088 Epoch[104] Batch [0749]/[1879] Speed: 101.449684 samples/sec accuracy=47.851042 loss=2.258034 lr=0.055064 Epoch[104] Batch [0799]/[1879] Speed: 109.230442 samples/sec accuracy=47.889648 loss=2.256454 lr=0.055040 Epoch[104] Batch [0849]/[1879] Speed: 99.848700 samples/sec accuracy=47.887868 loss=2.256429 lr=0.055016 Epoch[104] Batch [0899]/[1879] Speed: 106.500567 samples/sec accuracy=47.911458 loss=2.258016 lr=0.054992 Epoch[104] Batch [0949]/[1879] Speed: 105.378332 samples/sec accuracy=47.891447 loss=2.259853 lr=0.054968 Epoch[104] Batch [0999]/[1879] Speed: 104.440681 samples/sec accuracy=47.831250 loss=2.263001 lr=0.054943 Epoch[104] Batch [1049]/[1879] Speed: 108.430260 samples/sec accuracy=47.808036 loss=2.263696 lr=0.054919 Epoch[104] Batch [1099]/[1879] Speed: 100.109124 samples/sec accuracy=47.821733 loss=2.264252 lr=0.054895 Epoch[104] Batch [1149]/[1879] Speed: 110.695922 samples/sec accuracy=47.826766 loss=2.265398 lr=0.054871 Epoch[104] Batch [1199]/[1879] Speed: 99.106007 samples/sec accuracy=47.824219 loss=2.265317 lr=0.054847 Epoch[104] Batch [1249]/[1879] Speed: 107.919424 samples/sec accuracy=47.792500 loss=2.269042 lr=0.054822 Epoch[104] Batch [1299]/[1879] Speed: 103.702328 samples/sec accuracy=47.740385 loss=2.272063 lr=0.054798 Epoch[104] Batch [1349]/[1879] Speed: 103.294990 samples/sec accuracy=47.735532 loss=2.272664 lr=0.054774 Epoch[104] Batch [1399]/[1879] Speed: 105.660539 samples/sec accuracy=47.700335 loss=2.272850 lr=0.054750 Epoch[104] Batch [1449]/[1879] Speed: 105.873965 samples/sec accuracy=47.616379 loss=2.274754 lr=0.054726 Epoch[104] Batch [1499]/[1879] Speed: 107.501075 samples/sec accuracy=47.581771 loss=2.275618 lr=0.054701 Epoch[104] Batch [1549]/[1879] Speed: 101.437185 samples/sec accuracy=47.578629 loss=2.275655 lr=0.054677 Epoch[104] Batch [1599]/[1879] Speed: 105.724024 samples/sec accuracy=47.574219 loss=2.276007 lr=0.054653 Epoch[104] Batch [1649]/[1879] Speed: 98.868104 samples/sec accuracy=47.578598 loss=2.275669 lr=0.054629 Epoch[104] Batch [1699]/[1879] Speed: 110.951753 samples/sec accuracy=47.604779 loss=2.275569 lr=0.054605 Epoch[104] Batch [1749]/[1879] Speed: 103.384129 samples/sec accuracy=47.579464 loss=2.276252 lr=0.054581 Epoch[104] Batch [1799]/[1879] Speed: 105.369129 samples/sec accuracy=47.574653 loss=2.277333 lr=0.054556 Epoch[104] Batch [1849]/[1879] Speed: 109.073419 samples/sec accuracy=47.592483 loss=2.277412 lr=0.054532 Batch [0049]/[0151]: acc-top1=44.093750 acc-top5=69.875000 Batch [0099]/[0151]: acc-top1=47.882812 acc-top5=72.453125 Batch [0149]/[0151]: acc-top1=46.979167 acc-top5=72.562500 [Epoch 104] training: accuracy=47.578083 loss=2.277993 [Epoch 104] speed: 104 samples/sec time cost: 2509.101266 [Epoch 104] validation: acc-top1=46.962955 acc-top5=72.573469 loss=2.338368 Epoch[105] Batch [0049]/[1880] Speed: 74.680120 samples/sec accuracy=48.281250 loss=2.214715 lr=0.054494 Epoch[105] Batch [0099]/[1880] Speed: 108.092096 samples/sec accuracy=47.898438 loss=2.246374 lr=0.054470 Epoch[105] Batch [0149]/[1880] Speed: 101.469207 samples/sec accuracy=47.963542 loss=2.249613 lr=0.054445 Epoch[105] Batch [0199]/[1880] Speed: 106.086614 samples/sec accuracy=47.886719 loss=2.263014 lr=0.054421 Epoch[105] Batch [0249]/[1880] Speed: 106.469187 samples/sec accuracy=47.868750 loss=2.257165 lr=0.054397 Epoch[105] Batch [0299]/[1880] Speed: 103.885420 samples/sec accuracy=47.755208 loss=2.263153 lr=0.054373 Epoch[105] Batch [0349]/[1880] Speed: 111.908253 samples/sec accuracy=47.839286 loss=2.259656 lr=0.054349 Epoch[105] Batch [0399]/[1880] Speed: 98.080198 samples/sec accuracy=47.822266 loss=2.258243 lr=0.054324 Epoch[105] Batch [0449]/[1880] Speed: 111.533578 samples/sec accuracy=47.796875 loss=2.261936 lr=0.054300 Epoch[105] Batch [0499]/[1880] Speed: 100.190894 samples/sec accuracy=47.762500 loss=2.264284 lr=0.054276 Epoch[105] Batch [0549]/[1880] Speed: 109.593189 samples/sec accuracy=47.691761 loss=2.264212 lr=0.054252 Epoch[105] Batch [0599]/[1880] Speed: 102.874417 samples/sec accuracy=47.665365 loss=2.265514 lr=0.054228 Epoch[105] Batch [0649]/[1880] Speed: 106.040786 samples/sec accuracy=47.782452 loss=2.262862 lr=0.054203 Epoch[105] Batch [0699]/[1880] Speed: 106.009265 samples/sec accuracy=47.812500 loss=2.260552 lr=0.054179 Epoch[105] Batch [0749]/[1880] Speed: 100.534532 samples/sec accuracy=47.845833 loss=2.259361 lr=0.054155 Epoch[105] Batch [0799]/[1880] Speed: 110.168838 samples/sec accuracy=47.789062 loss=2.262362 lr=0.054131 Epoch[105] Batch [0849]/[1880] Speed: 99.984105 samples/sec accuracy=47.812500 loss=2.262901 lr=0.054106 Epoch[105] Batch [0899]/[1880] Speed: 108.450070 samples/sec accuracy=47.848958 loss=2.260130 lr=0.054082 Epoch[105] Batch [0949]/[1880] Speed: 98.881445 samples/sec accuracy=47.791941 loss=2.262129 lr=0.054058 Epoch[105] Batch [0999]/[1880] Speed: 110.547039 samples/sec accuracy=47.793750 loss=2.263388 lr=0.054034 Epoch[105] Batch [1049]/[1880] Speed: 107.049587 samples/sec accuracy=47.761161 loss=2.265594 lr=0.054010 Epoch[105] Batch [1099]/[1880] Speed: 99.670509 samples/sec accuracy=47.760653 loss=2.266006 lr=0.053985 Epoch[105] Batch [1149]/[1880] Speed: 107.792669 samples/sec accuracy=47.771739 loss=2.266164 lr=0.053961 Epoch[105] Batch [1199]/[1880] Speed: 99.810500 samples/sec accuracy=47.800130 loss=2.264721 lr=0.053937 Epoch[105] Batch [1249]/[1880] Speed: 109.582207 samples/sec accuracy=47.784375 loss=2.265459 lr=0.053913 Epoch[105] Batch [1299]/[1880] Speed: 104.951910 samples/sec accuracy=47.811298 loss=2.264810 lr=0.053888 Epoch[105] Batch [1349]/[1880] Speed: 103.964338 samples/sec accuracy=47.803241 loss=2.265694 lr=0.053864 Epoch[105] Batch [1399]/[1880] Speed: 106.369338 samples/sec accuracy=47.791853 loss=2.266542 lr=0.053840 Epoch[105] Batch [1449]/[1880] Speed: 103.609119 samples/sec accuracy=47.777478 loss=2.266919 lr=0.053816 Epoch[105] Batch [1499]/[1880] Speed: 102.880861 samples/sec accuracy=47.771875 loss=2.266968 lr=0.053792 Epoch[105] Batch [1549]/[1880] Speed: 106.650630 samples/sec accuracy=47.805444 loss=2.265858 lr=0.053767 Epoch[105] Batch [1599]/[1880] Speed: 108.207342 samples/sec accuracy=47.811523 loss=2.264936 lr=0.053743 Epoch[105] Batch [1649]/[1880] Speed: 102.049583 samples/sec accuracy=47.812500 loss=2.265581 lr=0.053719 Epoch[105] Batch [1699]/[1880] Speed: 105.764591 samples/sec accuracy=47.797335 loss=2.266460 lr=0.053695 Epoch[105] Batch [1749]/[1880] Speed: 104.451643 samples/sec accuracy=47.787500 loss=2.266759 lr=0.053670 Epoch[105] Batch [1799]/[1880] Speed: 102.964318 samples/sec accuracy=47.766927 loss=2.268194 lr=0.053646 Epoch[105] Batch [1849]/[1880] Speed: 109.402302 samples/sec accuracy=47.769003 loss=2.267847 lr=0.053622 Batch [0049]/[0151]: acc-top1=44.734375 acc-top5=70.187500 Batch [0099]/[0151]: acc-top1=49.078125 acc-top5=72.890625 Batch [0149]/[0151]: acc-top1=47.411458 acc-top5=72.458333 [Epoch 105] training: accuracy=47.761802 loss=2.267972 [Epoch 105] speed: 104 samples/sec time cost: 2508.360672 [Epoch 105] validation: acc-top1=47.345820 acc-top5=72.407906 loss=2.356581 Epoch[106] Batch [0049]/[1880] Speed: 73.840744 samples/sec accuracy=48.312500 loss=2.239332 lr=0.053583 Epoch[106] Batch [0099]/[1880] Speed: 104.066692 samples/sec accuracy=48.648438 loss=2.234273 lr=0.053559 Epoch[106] Batch [0149]/[1880] Speed: 105.921295 samples/sec accuracy=48.687500 loss=2.230747 lr=0.053535 Epoch[106] Batch [0199]/[1880] Speed: 100.629166 samples/sec accuracy=48.371094 loss=2.242374 lr=0.053510 Epoch[106] Batch 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accuracy=48.315848 loss=2.245721 lr=0.053268 Epoch[106] Batch [0749]/[1880] Speed: 103.410537 samples/sec accuracy=48.305208 loss=2.247140 lr=0.053244 Epoch[106] Batch [0799]/[1880] Speed: 105.668278 samples/sec accuracy=48.371094 loss=2.244908 lr=0.053219 Epoch[106] Batch [0849]/[1880] Speed: 104.763921 samples/sec accuracy=48.387868 loss=2.243984 lr=0.053195 Epoch[106] Batch [0899]/[1880] Speed: 106.125655 samples/sec accuracy=48.383681 loss=2.243741 lr=0.053171 Epoch[106] Batch [0949]/[1880] Speed: 103.671363 samples/sec accuracy=48.315789 loss=2.247278 lr=0.053147 Epoch[106] Batch [0999]/[1880] Speed: 104.973425 samples/sec accuracy=48.285937 loss=2.248633 lr=0.053122 Epoch[106] Batch [1049]/[1880] Speed: 106.000222 samples/sec accuracy=48.233631 loss=2.250912 lr=0.053098 Epoch[106] Batch [1099]/[1880] Speed: 102.941009 samples/sec accuracy=48.267756 loss=2.250730 lr=0.053074 Epoch[106] Batch [1149]/[1880] Speed: 106.426047 samples/sec accuracy=48.247283 loss=2.251367 lr=0.053050 Epoch[106] Batch [1199]/[1880] Speed: 103.510812 samples/sec accuracy=48.247396 loss=2.251572 lr=0.053025 Epoch[106] Batch [1249]/[1880] Speed: 104.405072 samples/sec accuracy=48.206875 loss=2.253387 lr=0.053001 Epoch[106] Batch [1299]/[1880] Speed: 107.771457 samples/sec accuracy=48.210337 loss=2.252198 lr=0.052977 Epoch[106] Batch [1349]/[1880] Speed: 104.002757 samples/sec accuracy=48.228588 loss=2.252517 lr=0.052953 Epoch[106] Batch [1399]/[1880] Speed: 101.931880 samples/sec accuracy=48.238839 loss=2.252889 lr=0.052928 Epoch[106] Batch [1449]/[1880] Speed: 106.774887 samples/sec accuracy=48.221444 loss=2.253625 lr=0.052904 Epoch[106] Batch [1499]/[1880] Speed: 109.996924 samples/sec accuracy=48.197396 loss=2.255071 lr=0.052880 Epoch[106] Batch [1549]/[1880] Speed: 98.081673 samples/sec accuracy=48.195565 loss=2.255797 lr=0.052856 Epoch[106] Batch [1599]/[1880] Speed: 108.678746 samples/sec accuracy=48.158203 loss=2.256662 lr=0.052831 Epoch[106] Batch [1649]/[1880] Speed: 105.337409 samples/sec accuracy=48.148201 loss=2.256445 lr=0.052807 Epoch[106] Batch [1699]/[1880] Speed: 103.775486 samples/sec accuracy=48.115809 loss=2.257532 lr=0.052783 Epoch[106] Batch [1749]/[1880] Speed: 106.995623 samples/sec accuracy=48.080804 loss=2.258459 lr=0.052759 Epoch[106] Batch [1799]/[1880] Speed: 101.921167 samples/sec accuracy=48.071181 loss=2.258704 lr=0.052734 Epoch[106] Batch [1849]/[1880] Speed: 106.247097 samples/sec accuracy=48.019426 loss=2.260398 lr=0.052710 Batch [0049]/[0151]: acc-top1=45.406250 acc-top5=70.593750 Batch [0099]/[0151]: acc-top1=48.921875 acc-top5=73.078125 Batch [0149]/[0151]: acc-top1=47.854167 acc-top5=72.718750 [Epoch 106] training: accuracy=47.987866 loss=2.261419 [Epoch 106] speed: 104 samples/sec time cost: 2511.663264 [Epoch 106] validation: acc-top1=47.775248 acc-top5=72.723510 loss=2.288532 Epoch[107] Batch [0049]/[1880] Speed: 73.125156 samples/sec accuracy=50.437500 loss=2.169826 lr=0.052671 Epoch[107] Batch [0099]/[1880] Speed: 110.066177 samples/sec accuracy=49.468750 loss=2.190458 lr=0.052647 Epoch[107] Batch [0149]/[1880] Speed: 105.994959 samples/sec accuracy=49.088542 loss=2.217347 lr=0.052623 Epoch[107] Batch [0199]/[1880] Speed: 104.622720 samples/sec accuracy=49.171875 loss=2.208264 lr=0.052598 Epoch[107] Batch [0249]/[1880] Speed: 104.825561 samples/sec accuracy=49.043750 loss=2.210745 lr=0.052574 Epoch[107] Batch [0299]/[1880] Speed: 103.995948 samples/sec accuracy=48.966146 loss=2.209149 lr=0.052550 Epoch[107] Batch [0349]/[1880] Speed: 102.653980 samples/sec accuracy=49.015625 loss=2.207155 lr=0.052526 Epoch[107] Batch [0399]/[1880] Speed: 106.973474 samples/sec accuracy=48.914062 loss=2.210448 lr=0.052501 Epoch[107] Batch [0449]/[1880] Speed: 102.902075 samples/sec accuracy=48.756944 loss=2.214521 lr=0.052477 Epoch[107] Batch [0499]/[1880] Speed: 109.737846 samples/sec accuracy=48.689063 loss=2.220749 lr=0.052453 Epoch[107] Batch [0549]/[1880] Speed: 102.813953 samples/sec accuracy=48.654830 loss=2.222822 lr=0.052428 Epoch[107] Batch [0599]/[1880] Speed: 106.519552 samples/sec accuracy=48.635417 loss=2.222706 lr=0.052404 Epoch[107] Batch [0649]/[1880] Speed: 103.340052 samples/sec accuracy=48.555288 loss=2.225288 lr=0.052380 Epoch[107] Batch [0699]/[1880] Speed: 104.198116 samples/sec accuracy=48.530134 loss=2.227770 lr=0.052356 Epoch[107] Batch [0749]/[1880] Speed: 103.191104 samples/sec accuracy=48.453125 loss=2.231571 lr=0.052331 Epoch[107] Batch [0799]/[1880] Speed: 104.035930 samples/sec accuracy=48.470703 loss=2.230914 lr=0.052307 Epoch[107] Batch [0849]/[1880] Speed: 102.333606 samples/sec accuracy=48.486213 loss=2.230138 lr=0.052283 Epoch[107] Batch [0899]/[1880] Speed: 111.049248 samples/sec accuracy=48.478299 loss=2.230841 lr=0.052259 Epoch[107] Batch [0949]/[1880] Speed: 98.870539 samples/sec accuracy=48.442434 loss=2.231643 lr=0.052234 Epoch[107] Batch [0999]/[1880] Speed: 107.638506 samples/sec accuracy=48.425781 loss=2.232679 lr=0.052210 Epoch[107] Batch [1049]/[1880] Speed: 104.677860 samples/sec accuracy=48.409970 loss=2.234111 lr=0.052186 Epoch[107] Batch [1099]/[1880] Speed: 103.759451 samples/sec accuracy=48.318182 loss=2.236411 lr=0.052161 Epoch[107] Batch [1149]/[1880] Speed: 106.529193 samples/sec accuracy=48.294837 loss=2.238001 lr=0.052137 Epoch[107] Batch [1199]/[1880] Speed: 100.323213 samples/sec accuracy=48.219401 loss=2.240576 lr=0.052113 Epoch[107] Batch [1249]/[1880] Speed: 110.150093 samples/sec accuracy=48.250000 loss=2.240196 lr=0.052089 Epoch[107] Batch [1299]/[1880] Speed: 101.178162 samples/sec accuracy=48.282452 loss=2.238627 lr=0.052064 Epoch[107] Batch [1349]/[1880] Speed: 105.088593 samples/sec accuracy=48.229167 loss=2.240757 lr=0.052040 Epoch[107] Batch [1399]/[1880] Speed: 102.494360 samples/sec accuracy=48.195871 loss=2.242258 lr=0.052016 Epoch[107] Batch [1449]/[1880] Speed: 107.568314 samples/sec accuracy=48.221444 loss=2.242392 lr=0.051991 Epoch[107] Batch [1499]/[1880] Speed: 104.529184 samples/sec accuracy=48.192708 loss=2.244021 lr=0.051967 Epoch[107] Batch [1549]/[1880] Speed: 104.310729 samples/sec accuracy=48.150202 loss=2.246428 lr=0.051943 Epoch[107] Batch [1599]/[1880] Speed: 102.533326 samples/sec accuracy=48.125000 loss=2.247730 lr=0.051919 Epoch[107] Batch [1649]/[1880] Speed: 111.031602 samples/sec accuracy=48.143939 loss=2.247511 lr=0.051894 Epoch[107] Batch [1699]/[1880] Speed: 105.188999 samples/sec accuracy=48.130515 loss=2.248037 lr=0.051870 Epoch[107] Batch [1749]/[1880] Speed: 102.108789 samples/sec accuracy=48.087946 loss=2.249519 lr=0.051846 Epoch[107] Batch [1799]/[1880] Speed: 111.042029 samples/sec accuracy=48.087240 loss=2.250313 lr=0.051821 Epoch[107] Batch [1849]/[1880] Speed: 96.151980 samples/sec accuracy=48.105997 loss=2.249942 lr=0.051797 Batch [0049]/[0151]: acc-top1=45.562500 acc-top5=70.375000 Batch [0099]/[0151]: acc-top1=49.906250 acc-top5=73.328125 Batch [0149]/[0151]: acc-top1=48.093750 acc-top5=72.593750 [Epoch 107] training: accuracy=48.104638 loss=2.250195 [Epoch 107] speed: 104 samples/sec time cost: 2514.791588 [Epoch 107] validation: acc-top1=48.023593 acc-top5=72.594164 loss=2.322321 Epoch[108] Batch [0049]/[1880] Speed: 74.166579 samples/sec accuracy=49.593750 loss=2.195476 lr=0.051758 Epoch[108] Batch [0099]/[1880] Speed: 108.329018 samples/sec accuracy=49.476562 loss=2.207755 lr=0.051734 Epoch[108] Batch [0149]/[1880] Speed: 103.642895 samples/sec accuracy=49.234375 loss=2.201499 lr=0.051710 Epoch[108] Batch [0199]/[1880] Speed: 102.142313 samples/sec accuracy=49.144531 loss=2.207077 lr=0.051685 Epoch[108] Batch [0249]/[1880] Speed: 109.789932 samples/sec accuracy=49.034375 loss=2.208473 lr=0.051661 Epoch[108] Batch [0299]/[1880] Speed: 101.743057 samples/sec accuracy=48.825521 loss=2.212564 lr=0.051637 Epoch[108] Batch [0349]/[1880] Speed: 105.165601 samples/sec accuracy=48.705357 loss=2.217362 lr=0.051613 Epoch[108] Batch [0399]/[1880] Speed: 108.343600 samples/sec accuracy=48.695312 loss=2.216826 lr=0.051588 Epoch[108] Batch [0449]/[1880] Speed: 100.092715 samples/sec accuracy=48.491319 loss=2.226238 lr=0.051564 Epoch[108] Batch [0499]/[1880] Speed: 107.720662 samples/sec accuracy=48.548438 loss=2.226870 lr=0.051540 Epoch[108] Batch [0549]/[1880] Speed: 98.967761 samples/sec accuracy=48.519886 loss=2.228621 lr=0.051515 Epoch[108] Batch [0599]/[1880] Speed: 111.374366 samples/sec accuracy=48.483073 loss=2.230033 lr=0.051491 Epoch[108] Batch [0649]/[1880] Speed: 102.691628 samples/sec accuracy=48.498798 loss=2.229888 lr=0.051467 Epoch[108] Batch [0699]/[1880] Speed: 105.403206 samples/sec accuracy=48.541295 loss=2.229405 lr=0.051443 Epoch[108] Batch [0749]/[1880] Speed: 108.444866 samples/sec accuracy=48.506250 loss=2.229768 lr=0.051418 Epoch[108] Batch [0799]/[1880] Speed: 101.240228 samples/sec accuracy=48.495117 loss=2.232600 lr=0.051394 Epoch[108] Batch [0849]/[1880] Speed: 104.055393 samples/sec accuracy=48.486213 loss=2.232397 lr=0.051370 Epoch[108] Batch 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accuracy=48.239005 loss=2.238809 lr=0.051127 Epoch[108] Batch [1399]/[1880] Speed: 110.678248 samples/sec accuracy=48.226004 loss=2.240290 lr=0.051102 Epoch[108] Batch [1449]/[1880] Speed: 102.638306 samples/sec accuracy=48.232220 loss=2.240155 lr=0.051078 Epoch[108] Batch [1499]/[1880] Speed: 105.544255 samples/sec accuracy=48.218229 loss=2.240530 lr=0.051054 Epoch[108] Batch [1549]/[1880] Speed: 109.767013 samples/sec accuracy=48.208165 loss=2.241058 lr=0.051030 Epoch[108] Batch [1599]/[1880] Speed: 99.064939 samples/sec accuracy=48.208496 loss=2.241811 lr=0.051005 Epoch[108] Batch [1649]/[1880] Speed: 106.758237 samples/sec accuracy=48.193655 loss=2.242176 lr=0.050981 Epoch[108] Batch [1699]/[1880] Speed: 99.017165 samples/sec accuracy=48.168658 loss=2.243398 lr=0.050957 Epoch[108] Batch [1749]/[1880] Speed: 112.275193 samples/sec accuracy=48.146429 loss=2.244238 lr=0.050932 Epoch[108] Batch [1799]/[1880] Speed: 97.957996 samples/sec accuracy=48.136719 loss=2.243648 lr=0.050908 Epoch[108] Batch [1849]/[1880] Speed: 110.678883 samples/sec accuracy=48.152027 loss=2.244457 lr=0.050884 Batch [0049]/[0151]: acc-top1=45.546875 acc-top5=70.781250 Batch [0099]/[0151]: acc-top1=49.375000 acc-top5=72.945312 Batch [0149]/[0151]: acc-top1=47.635417 acc-top5=72.578125 [Epoch 108] training: accuracy=48.152842 loss=2.244500 [Epoch 108] speed: 104 samples/sec time cost: 2510.667802 [Epoch 108] validation: acc-top1=47.568295 acc-top5=72.526904 loss=2.332130 Epoch[109] Batch [0049]/[1880] Speed: 74.252414 samples/sec accuracy=49.968750 loss=2.147573 lr=0.050845 Epoch[109] Batch [0099]/[1880] Speed: 111.620663 samples/sec accuracy=49.789062 loss=2.163667 lr=0.050821 Epoch[109] Batch [0149]/[1880] Speed: 102.210429 samples/sec accuracy=49.281250 loss=2.189106 lr=0.050796 Epoch[109] Batch [0199]/[1880] Speed: 101.704165 samples/sec accuracy=49.164062 loss=2.201992 lr=0.050772 Epoch[109] Batch [0249]/[1880] Speed: 108.642954 samples/sec accuracy=49.396875 loss=2.192157 lr=0.050748 Epoch[109] Batch [0299]/[1880] Speed: 102.971507 samples/sec accuracy=49.333333 loss=2.190818 lr=0.050723 Epoch[109] Batch [0349]/[1880] Speed: 105.450367 samples/sec accuracy=49.263393 loss=2.193120 lr=0.050699 Epoch[109] Batch [0399]/[1880] Speed: 104.339868 samples/sec accuracy=49.115234 loss=2.197077 lr=0.050675 Epoch[109] Batch [0449]/[1880] Speed: 104.102035 samples/sec accuracy=48.942708 loss=2.204659 lr=0.050651 Epoch[109] Batch [0499]/[1880] Speed: 106.750286 samples/sec accuracy=48.881250 loss=2.207520 lr=0.050626 Epoch[109] Batch [0549]/[1880] Speed: 105.184960 samples/sec accuracy=48.941761 loss=2.205950 lr=0.050602 Epoch[109] Batch [0599]/[1880] Speed: 104.623589 samples/sec accuracy=48.825521 loss=2.211841 lr=0.050578 Epoch[109] Batch [0649]/[1880] Speed: 105.183835 samples/sec accuracy=48.855769 loss=2.210522 lr=0.050553 Epoch[109] Batch [0699]/[1880] Speed: 100.624989 samples/sec accuracy=48.808036 loss=2.212880 lr=0.050529 Epoch[109] Batch [0749]/[1880] Speed: 110.073448 samples/sec accuracy=48.803125 loss=2.214931 lr=0.050505 Epoch[109] Batch [0799]/[1880] Speed: 98.259061 samples/sec accuracy=48.732422 loss=2.215881 lr=0.050480 Epoch[109] Batch [0849]/[1880] Speed: 109.047505 samples/sec accuracy=48.737132 loss=2.215333 lr=0.050456 Epoch[109] Batch [0899]/[1880] Speed: 101.328662 samples/sec accuracy=48.743056 loss=2.214537 lr=0.050432 Epoch[109] Batch [0949]/[1880] Speed: 105.225524 samples/sec accuracy=48.740132 loss=2.214549 lr=0.050408 Epoch[109] Batch [0999]/[1880] Speed: 109.110537 samples/sec accuracy=48.672656 loss=2.218461 lr=0.050383 Epoch[109] Batch [1049]/[1880] Speed: 100.690471 samples/sec accuracy=48.652530 loss=2.219853 lr=0.050359 Epoch[109] Batch [1099]/[1880] Speed: 109.717622 samples/sec accuracy=48.660511 loss=2.220063 lr=0.050335 Epoch[109] Batch [1149]/[1880] Speed: 98.990136 samples/sec accuracy=48.639266 loss=2.220850 lr=0.050310 Epoch[109] Batch [1199]/[1880] Speed: 108.933383 samples/sec accuracy=48.576172 loss=2.223392 lr=0.050286 Epoch[109] Batch [1249]/[1880] Speed: 98.237248 samples/sec accuracy=48.548125 loss=2.224082 lr=0.050262 Epoch[109] Batch [1299]/[1880] Speed: 110.017767 samples/sec accuracy=48.541466 loss=2.225136 lr=0.050237 Epoch[109] Batch [1349]/[1880] Speed: 109.300763 samples/sec accuracy=48.550926 loss=2.224527 lr=0.050213 Epoch[109] Batch [1399]/[1880] Speed: 98.017996 samples/sec accuracy=48.566406 loss=2.225348 lr=0.050189 Epoch[109] Batch [1449]/[1880] Speed: 110.866915 samples/sec accuracy=48.519935 loss=2.227402 lr=0.050165 Epoch[109] Batch [1499]/[1880] Speed: 100.073532 samples/sec accuracy=48.516667 loss=2.228000 lr=0.050140 Epoch[109] Batch [1549]/[1880] Speed: 108.127900 samples/sec accuracy=48.506048 loss=2.227915 lr=0.050116 Epoch[109] Batch [1599]/[1880] Speed: 101.581460 samples/sec accuracy=48.486328 loss=2.229423 lr=0.050092 Epoch[109] Batch [1649]/[1880] Speed: 103.768760 samples/sec accuracy=48.452178 loss=2.230225 lr=0.050067 Epoch[109] Batch [1699]/[1880] Speed: 105.222061 samples/sec accuracy=48.440717 loss=2.230551 lr=0.050043 Epoch[109] Batch [1749]/[1880] Speed: 104.284846 samples/sec accuracy=48.433929 loss=2.230547 lr=0.050019 Epoch[109] Batch [1799]/[1880] Speed: 107.652312 samples/sec accuracy=48.428819 loss=2.230988 lr=0.049994 Epoch[109] Batch [1849]/[1880] Speed: 103.124620 samples/sec accuracy=48.397382 loss=2.231294 lr=0.049970 Batch [0049]/[0151]: acc-top1=46.593750 acc-top5=70.734375 Batch [0099]/[0151]: acc-top1=49.531250 acc-top5=73.242188 Batch [0149]/[0151]: acc-top1=48.755208 acc-top5=73.411458 [Epoch 109] training: accuracy=48.383062 loss=2.232155 [Epoch 109] speed: 104 samples/sec time cost: 2513.717729 [Epoch 109] validation: acc-top1=48.634106 acc-top5=73.359892 loss=2.279825 Epoch[110] Batch [0049]/[1879] Speed: 75.293565 samples/sec accuracy=49.515625 loss=2.158555 lr=0.049931 Epoch[110] Batch [0099]/[1879] Speed: 105.974642 samples/sec accuracy=49.804688 loss=2.173524 lr=0.049907 Epoch[110] Batch [0149]/[1879] Speed: 103.204785 samples/sec accuracy=49.307292 loss=2.188371 lr=0.049883 Epoch[110] Batch [0199]/[1879] Speed: 106.566202 samples/sec accuracy=49.210938 loss=2.194482 lr=0.049858 Epoch[110] Batch [0249]/[1879] Speed: 104.242833 samples/sec accuracy=49.215625 loss=2.190245 lr=0.049834 Epoch[110] Batch [0299]/[1879] Speed: 104.483899 samples/sec accuracy=49.221354 loss=2.184635 lr=0.049810 Epoch[110] Batch [0349]/[1879] Speed: 103.816571 samples/sec accuracy=49.129464 loss=2.188139 lr=0.049785 Epoch[110] Batch [0399]/[1879] Speed: 107.551926 samples/sec accuracy=48.990234 loss=2.196410 lr=0.049761 Epoch[110] Batch [0449]/[1879] Speed: 102.982230 samples/sec accuracy=48.918403 loss=2.199234 lr=0.049737 Epoch[110] Batch [0499]/[1879] Speed: 104.514023 samples/sec accuracy=48.945312 loss=2.200041 lr=0.049713 Epoch[110] Batch [0549]/[1879] Speed: 105.812353 samples/sec accuracy=48.977273 loss=2.197508 lr=0.049688 Epoch[110] Batch [0599]/[1879] Speed: 102.226076 samples/sec accuracy=48.959635 loss=2.199226 lr=0.049664 Epoch[110] Batch [0649]/[1879] Speed: 106.408878 samples/sec accuracy=48.902644 loss=2.200793 lr=0.049640 Epoch[110] Batch [0699]/[1879] Speed: 107.821584 samples/sec accuracy=48.915179 loss=2.200985 lr=0.049615 Epoch[110] Batch [0749]/[1879] Speed: 101.422071 samples/sec accuracy=48.834375 loss=2.203081 lr=0.049591 Epoch[110] Batch [0799]/[1879] Speed: 106.525265 samples/sec accuracy=48.797852 loss=2.206461 lr=0.049567 Epoch[110] Batch [0849]/[1879] Speed: 101.099805 samples/sec accuracy=48.815257 loss=2.206994 lr=0.049542 Epoch[110] Batch [0899]/[1879] Speed: 109.617856 samples/sec accuracy=48.861979 loss=2.205455 lr=0.049518 Epoch[110] Batch [0949]/[1879] Speed: 99.448434 samples/sec accuracy=48.806743 loss=2.206992 lr=0.049494 Epoch[110] Batch [0999]/[1879] Speed: 107.974343 samples/sec accuracy=48.787500 loss=2.208197 lr=0.049470 Epoch[110] Batch [1049]/[1879] Speed: 106.564984 samples/sec accuracy=48.751488 loss=2.210268 lr=0.049445 Epoch[110] Batch [1099]/[1879] Speed: 103.794984 samples/sec accuracy=48.776989 loss=2.209708 lr=0.049421 Epoch[110] Batch [1149]/[1879] Speed: 108.203210 samples/sec accuracy=48.747962 loss=2.210810 lr=0.049397 Epoch[110] Batch [1199]/[1879] Speed: 100.260959 samples/sec accuracy=48.777344 loss=2.210244 lr=0.049372 Epoch[110] Batch [1249]/[1879] Speed: 111.581899 samples/sec accuracy=48.805000 loss=2.210857 lr=0.049348 Epoch[110] Batch [1299]/[1879] Speed: 96.105512 samples/sec accuracy=48.808293 loss=2.209922 lr=0.049324 Epoch[110] Batch [1349]/[1879] Speed: 110.564559 samples/sec accuracy=48.840278 loss=2.208307 lr=0.049299 Epoch[110] Batch [1399]/[1879] Speed: 100.743736 samples/sec accuracy=48.835379 loss=2.209779 lr=0.049275 Epoch[110] Batch [1449]/[1879] Speed: 104.383755 samples/sec accuracy=48.804418 loss=2.212685 lr=0.049251 Epoch[110] Batch [1499]/[1879] Speed: 104.891990 samples/sec accuracy=48.762500 loss=2.214927 lr=0.049227 Epoch[110] Batch [1549]/[1879] Speed: 107.900858 samples/sec accuracy=48.720262 loss=2.216820 lr=0.049202 Epoch[110] Batch [1599]/[1879] Speed: 104.631919 samples/sec accuracy=48.703613 loss=2.217411 lr=0.049178 Epoch[110] Batch [1649]/[1879] Speed: 102.202851 samples/sec accuracy=48.687500 loss=2.218595 lr=0.049154 Epoch[110] Batch [1699]/[1879] Speed: 104.594544 samples/sec accuracy=48.697610 loss=2.217426 lr=0.049129 Epoch[110] Batch [1749]/[1879] Speed: 107.435277 samples/sec accuracy=48.712500 loss=2.217824 lr=0.049105 Epoch[110] Batch [1799]/[1879] Speed: 103.990139 samples/sec accuracy=48.705729 loss=2.218142 lr=0.049081 Epoch[110] Batch [1849]/[1879] Speed: 100.397019 samples/sec accuracy=48.721706 loss=2.217724 lr=0.049056 Batch [0049]/[0151]: acc-top1=46.062500 acc-top5=71.750000 Batch [0099]/[0151]: acc-top1=50.585938 acc-top5=74.515625 Batch [0149]/[0151]: acc-top1=49.156250 acc-top5=73.947917 [Epoch 110] training: accuracy=48.746424 loss=2.216769 [Epoch 110] speed: 104 samples/sec time cost: 2512.250333 [Epoch 110] validation: acc-top1=49.063535 acc-top5=73.877276 loss=2.253818 Epoch[111] Batch [0049]/[1880] Speed: 73.516711 samples/sec accuracy=49.843750 loss=2.178006 lr=0.049018 Epoch[111] Batch [0099]/[1880] Speed: 107.022047 samples/sec accuracy=49.875000 loss=2.182057 lr=0.048994 Epoch[111] Batch [0149]/[1880] Speed: 104.539082 samples/sec accuracy=49.713542 loss=2.169438 lr=0.048969 Epoch[111] Batch [0199]/[1880] Speed: 104.128134 samples/sec accuracy=49.496094 loss=2.178134 lr=0.048945 Epoch[111] Batch [0249]/[1880] Speed: 104.825079 samples/sec accuracy=49.406250 loss=2.185938 lr=0.048921 Epoch[111] Batch [0299]/[1880] Speed: 101.589576 samples/sec accuracy=49.270833 loss=2.186916 lr=0.048897 Epoch[111] Batch [0349]/[1880] Speed: 109.374115 samples/sec accuracy=49.247768 loss=2.188819 lr=0.048872 Epoch[111] Batch [0399]/[1880] Speed: 100.724011 samples/sec accuracy=49.275391 loss=2.186378 lr=0.048848 Epoch[111] Batch [0449]/[1880] Speed: 108.839308 samples/sec accuracy=49.227431 loss=2.188422 lr=0.048824 Epoch[111] Batch [0499]/[1880] Speed: 98.381944 samples/sec accuracy=49.115625 loss=2.192664 lr=0.048799 Epoch[111] Batch [0549]/[1880] Speed: 108.859980 samples/sec accuracy=49.034091 loss=2.196167 lr=0.048775 Epoch[111] Batch [0599]/[1880] Speed: 104.722187 samples/sec accuracy=49.042969 loss=2.196965 lr=0.048751 Epoch[111] Batch [0649]/[1880] Speed: 102.963574 samples/sec accuracy=49.074519 loss=2.196446 lr=0.048726 Epoch[111] Batch [0699]/[1880] Speed: 110.737210 samples/sec accuracy=49.071429 loss=2.198322 lr=0.048702 Epoch[111] Batch [0749]/[1880] Speed: 101.299381 samples/sec accuracy=49.045833 loss=2.199811 lr=0.048678 Epoch[111] Batch [0799]/[1880] Speed: 105.353681 samples/sec accuracy=49.044922 loss=2.200162 lr=0.048654 Epoch[111] Batch [0849]/[1880] Speed: 102.311347 samples/sec accuracy=49.054228 loss=2.200192 lr=0.048629 Epoch[111] Batch [0899]/[1880] Speed: 105.740332 samples/sec accuracy=49.049479 loss=2.201753 lr=0.048605 Epoch[111] Batch [0949]/[1880] Speed: 104.470720 samples/sec accuracy=49.069901 loss=2.200617 lr=0.048581 Epoch[111] Batch [0999]/[1880] Speed: 102.228865 samples/sec accuracy=49.076563 loss=2.201333 lr=0.048556 Epoch[111] Batch [1049]/[1880] Speed: 107.401992 samples/sec accuracy=49.050595 loss=2.202979 lr=0.048532 Epoch[111] Batch [1099]/[1880] Speed: 108.953769 samples/sec accuracy=49.024858 loss=2.204339 lr=0.048508 Epoch[111] Batch [1149]/[1880] Speed: 101.531552 samples/sec accuracy=49.012228 loss=2.206269 lr=0.048484 Epoch[111] Batch [1199]/[1880] Speed: 107.711482 samples/sec accuracy=49.014323 loss=2.205594 lr=0.048459 Epoch[111] Batch [1249]/[1880] Speed: 99.634846 samples/sec accuracy=48.955000 loss=2.207812 lr=0.048435 Epoch[111] Batch [1299]/[1880] Speed: 106.336354 samples/sec accuracy=48.945913 loss=2.208547 lr=0.048411 Epoch[111] Batch [1349]/[1880] Speed: 105.717713 samples/sec accuracy=48.887731 loss=2.211427 lr=0.048386 Epoch[111] Batch [1399]/[1880] Speed: 106.586997 samples/sec accuracy=48.876116 loss=2.211870 lr=0.048362 Epoch[111] Batch [1449]/[1880] Speed: 104.087453 samples/sec accuracy=48.877155 loss=2.212199 lr=0.048338 Epoch[111] Batch [1499]/[1880] Speed: 98.645884 samples/sec accuracy=48.849479 loss=2.213621 lr=0.048314 Epoch[111] Batch [1549]/[1880] Speed: 109.405507 samples/sec accuracy=48.820060 loss=2.213558 lr=0.048289 Epoch[111] Batch [1599]/[1880] Speed: 109.633600 samples/sec accuracy=48.827148 loss=2.213153 lr=0.048265 Epoch[111] Batch [1649]/[1880] Speed: 99.634978 samples/sec accuracy=48.861742 loss=2.211149 lr=0.048241 Epoch[111] Batch [1699]/[1880] Speed: 108.806932 samples/sec accuracy=48.839614 loss=2.212216 lr=0.048216 Epoch[111] Batch [1749]/[1880] Speed: 101.562694 samples/sec accuracy=48.791964 loss=2.213685 lr=0.048192 Epoch[111] Batch [1799]/[1880] Speed: 105.008864 samples/sec accuracy=48.786458 loss=2.213897 lr=0.048168 Epoch[111] Batch [1849]/[1880] Speed: 106.721554 samples/sec accuracy=48.782939 loss=2.215154 lr=0.048144 Batch [0049]/[0151]: acc-top1=46.140625 acc-top5=72.343750 Batch [0099]/[0151]: acc-top1=50.117188 acc-top5=74.601562 Batch [0149]/[0151]: acc-top1=49.041667 acc-top5=74.041667 [Epoch 111] training: accuracy=48.779920 loss=2.215168 [Epoch 111] speed: 104 samples/sec time cost: 2514.956844 [Epoch 111] validation: acc-top1=48.985927 acc-top5=74.006623 loss=2.247441 Epoch[112] Batch [0049]/[1880] Speed: 73.955520 samples/sec accuracy=50.046875 loss=2.181754 lr=0.048105 Epoch[112] Batch [0099]/[1880] Speed: 109.125845 samples/sec accuracy=50.046875 loss=2.168441 lr=0.048080 Epoch[112] Batch [0149]/[1880] Speed: 104.825410 samples/sec accuracy=50.098958 loss=2.168611 lr=0.048056 Epoch[112] Batch [0199]/[1880] Speed: 104.744579 samples/sec accuracy=50.093750 loss=2.165196 lr=0.048032 Epoch[112] Batch [0249]/[1880] Speed: 100.966560 samples/sec accuracy=49.903125 loss=2.163522 lr=0.048008 Epoch[112] Batch [0299]/[1880] Speed: 105.308803 samples/sec accuracy=49.940104 loss=2.161708 lr=0.047983 Epoch[112] Batch [0349]/[1880] Speed: 104.558078 samples/sec accuracy=49.899554 loss=2.167795 lr=0.047959 Epoch[112] Batch [0399]/[1880] Speed: 109.472654 samples/sec accuracy=49.789062 loss=2.172479 lr=0.047935 Epoch[112] Batch [0449]/[1880] Speed: 103.430647 samples/sec accuracy=49.793403 loss=2.169457 lr=0.047910 Epoch[112] Batch [0499]/[1880] Speed: 105.467874 samples/sec accuracy=49.806250 loss=2.168045 lr=0.047886 Epoch[112] Batch [0549]/[1880] Speed: 102.618692 samples/sec accuracy=49.721591 loss=2.171629 lr=0.047862 Epoch[112] Batch [0599]/[1880] Speed: 107.983731 samples/sec accuracy=49.731771 loss=2.170534 lr=0.047838 Epoch[112] Batch [0649]/[1880] Speed: 99.032121 samples/sec accuracy=49.623798 loss=2.174897 lr=0.047813 Epoch[112] Batch [0699]/[1880] Speed: 108.070395 samples/sec accuracy=49.623884 loss=2.176505 lr=0.047789 Epoch[112] Batch [0749]/[1880] Speed: 102.179323 samples/sec accuracy=49.482292 loss=2.184007 lr=0.047765 Epoch[112] Batch [0799]/[1880] Speed: 108.537146 samples/sec accuracy=49.410156 loss=2.187253 lr=0.047740 Epoch[112] Batch [0849]/[1880] Speed: 107.453437 samples/sec accuracy=49.331801 loss=2.190624 lr=0.047716 Epoch[112] Batch [0899]/[1880] Speed: 101.114478 samples/sec accuracy=49.315104 loss=2.191312 lr=0.047692 Epoch[112] Batch [0949]/[1880] Speed: 105.246626 samples/sec accuracy=49.276316 loss=2.192534 lr=0.047668 Epoch[112] Batch [0999]/[1880] Speed: 110.567169 samples/sec accuracy=49.258594 loss=2.193672 lr=0.047643 Epoch[112] Batch [1049]/[1880] Speed: 100.665165 samples/sec accuracy=49.247024 loss=2.194107 lr=0.047619 Epoch[112] Batch [1099]/[1880] Speed: 104.254240 samples/sec accuracy=49.240767 loss=2.194149 lr=0.047595 Epoch[112] Batch [1149]/[1880] Speed: 105.294369 samples/sec accuracy=49.186821 loss=2.196349 lr=0.047571 Epoch[112] Batch [1199]/[1880] Speed: 104.710608 samples/sec accuracy=49.189453 loss=2.197002 lr=0.047546 Epoch[112] Batch [1249]/[1880] Speed: 105.042628 samples/sec accuracy=49.178750 loss=2.197478 lr=0.047522 Epoch[112] Batch [1299]/[1880] Speed: 105.230223 samples/sec accuracy=49.090144 loss=2.200548 lr=0.047498 Epoch[112] Batch [1349]/[1880] Speed: 103.733953 samples/sec accuracy=49.047454 loss=2.201079 lr=0.047473 Epoch[112] Batch [1399]/[1880] Speed: 105.480276 samples/sec accuracy=49.034598 loss=2.201716 lr=0.047449 Epoch[112] Batch [1449]/[1880] Speed: 103.280086 samples/sec accuracy=48.993534 loss=2.202568 lr=0.047425 Epoch[112] Batch [1499]/[1880] Speed: 106.241935 samples/sec accuracy=48.966146 loss=2.203443 lr=0.047401 Epoch[112] Batch [1549]/[1880] Speed: 104.426599 samples/sec accuracy=48.929940 loss=2.204099 lr=0.047376 Epoch[112] Batch [1599]/[1880] Speed: 106.085832 samples/sec accuracy=48.922852 loss=2.204491 lr=0.047352 Epoch[112] Batch [1649]/[1880] Speed: 102.609736 samples/sec accuracy=48.932765 loss=2.203948 lr=0.047328 Epoch[112] Batch [1699]/[1880] Speed: 105.946577 samples/sec accuracy=48.923254 loss=2.204811 lr=0.047304 Epoch[112] Batch [1749]/[1880] Speed: 101.461334 samples/sec accuracy=48.930357 loss=2.205434 lr=0.047279 Epoch[112] Batch [1799]/[1880] Speed: 108.387957 samples/sec accuracy=48.929253 loss=2.206173 lr=0.047255 Epoch[112] Batch [1849]/[1880] Speed: 103.990997 samples/sec accuracy=48.926943 loss=2.207055 lr=0.047231 Batch [0049]/[0151]: acc-top1=46.062500 acc-top5=71.390625 Batch [0099]/[0151]: acc-top1=49.679688 acc-top5=73.906250 Batch [0149]/[0151]: acc-top1=48.338542 acc-top5=73.307292 [Epoch 112] training: accuracy=48.937832 loss=2.207442 [Epoch 112] speed: 104 samples/sec time cost: 2510.709925 [Epoch 112] validation: acc-top1=48.287459 acc-top5=73.313328 loss=2.281396 Epoch[113] Batch [0049]/[1880] Speed: 75.450254 samples/sec accuracy=48.984375 loss=2.199093 lr=0.047192 Epoch[113] Batch [0099]/[1880] Speed: 105.271824 samples/sec accuracy=49.695312 loss=2.174145 lr=0.047168 Epoch[113] Batch [0149]/[1880] Speed: 103.411791 samples/sec accuracy=49.567708 loss=2.180520 lr=0.047143 Epoch[113] Batch 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accuracy=49.669471 loss=2.175646 lr=0.046901 Epoch[113] Batch [0699]/[1880] Speed: 105.127602 samples/sec accuracy=49.563616 loss=2.180741 lr=0.046877 Epoch[113] Batch [0749]/[1880] Speed: 105.822861 samples/sec accuracy=49.601042 loss=2.179919 lr=0.046852 Epoch[113] Batch [0799]/[1880] Speed: 104.398309 samples/sec accuracy=49.583984 loss=2.180778 lr=0.046828 Epoch[113] Batch [0849]/[1880] Speed: 106.704731 samples/sec accuracy=49.522059 loss=2.184257 lr=0.046804 Epoch[113] Batch [0899]/[1880] Speed: 102.668110 samples/sec accuracy=49.480035 loss=2.186972 lr=0.046780 Epoch[113] Batch [0949]/[1880] Speed: 105.476831 samples/sec accuracy=49.453947 loss=2.188916 lr=0.046755 Epoch[113] Batch [0999]/[1880] Speed: 107.080359 samples/sec accuracy=49.448437 loss=2.188758 lr=0.046731 Epoch[113] Batch [1049]/[1880] Speed: 102.546115 samples/sec accuracy=49.357143 loss=2.192882 lr=0.046707 Epoch[113] Batch [1099]/[1880] Speed: 105.168708 samples/sec accuracy=49.306108 loss=2.193371 lr=0.046683 Epoch[113] Batch [1149]/[1880] Speed: 106.120390 samples/sec accuracy=49.271060 loss=2.197112 lr=0.046658 Epoch[113] Batch [1199]/[1880] Speed: 100.553435 samples/sec accuracy=49.298177 loss=2.195493 lr=0.046634 Epoch[113] Batch [1249]/[1880] Speed: 108.792410 samples/sec accuracy=49.285625 loss=2.196169 lr=0.046610 Epoch[113] Batch [1299]/[1880] Speed: 104.409924 samples/sec accuracy=49.260817 loss=2.196841 lr=0.046586 Epoch[113] Batch [1349]/[1880] Speed: 106.556369 samples/sec accuracy=49.278356 loss=2.195841 lr=0.046561 Epoch[113] Batch [1399]/[1880] Speed: 101.713153 samples/sec accuracy=49.266741 loss=2.196947 lr=0.046537 Epoch[113] Batch [1449]/[1880] Speed: 108.073499 samples/sec accuracy=49.269935 loss=2.195920 lr=0.046513 Epoch[113] Batch [1499]/[1880] Speed: 101.618086 samples/sec accuracy=49.262500 loss=2.196086 lr=0.046489 Epoch[113] Batch [1549]/[1880] Speed: 108.713019 samples/sec accuracy=49.265121 loss=2.197129 lr=0.046464 Epoch[113] Batch [1599]/[1880] Speed: 106.904963 samples/sec accuracy=49.251953 loss=2.197652 lr=0.046440 Epoch[113] Batch [1649]/[1880] Speed: 100.986075 samples/sec accuracy=49.240530 loss=2.197177 lr=0.046416 Epoch[113] Batch [1699]/[1880] Speed: 106.966900 samples/sec accuracy=49.255055 loss=2.196864 lr=0.046392 Epoch[113] Batch [1749]/[1880] Speed: 106.576866 samples/sec accuracy=49.225446 loss=2.197576 lr=0.046367 Epoch[113] Batch [1799]/[1880] Speed: 100.604164 samples/sec accuracy=49.210938 loss=2.198435 lr=0.046343 Epoch[113] Batch [1849]/[1880] Speed: 109.124118 samples/sec accuracy=49.200169 loss=2.198254 lr=0.046319 Batch [0049]/[0151]: acc-top1=47.046875 acc-top5=71.671875 Batch [0099]/[0151]: acc-top1=51.000000 acc-top5=74.390625 Batch [0149]/[0151]: acc-top1=49.546875 acc-top5=74.140625 [Epoch 113] training: accuracy=49.195894 loss=2.198604 [Epoch 113] speed: 104 samples/sec time cost: 2510.307250 [Epoch 113] validation: acc-top1=49.482616 acc-top5=74.089404 loss=2.246595 Epoch[114] Batch [0049]/[1880] Speed: 73.371989 samples/sec accuracy=50.609375 loss=2.087188 lr=0.046280 Epoch[114] Batch [0099]/[1880] Speed: 107.701914 samples/sec accuracy=50.695312 loss=2.107421 lr=0.046256 Epoch[114] Batch [0149]/[1880] Speed: 103.752749 samples/sec accuracy=50.479167 loss=2.121991 lr=0.046232 Epoch[114] Batch [0199]/[1880] Speed: 105.863967 samples/sec accuracy=50.378906 loss=2.122905 lr=0.046207 Epoch[114] Batch [0249]/[1880] Speed: 105.260449 samples/sec accuracy=50.146875 loss=2.134971 lr=0.046183 Epoch[114] Batch [0299]/[1880] Speed: 104.079684 samples/sec accuracy=49.986979 loss=2.141874 lr=0.046159 Epoch[114] Batch [0349]/[1880] Speed: 109.273109 samples/sec accuracy=50.046875 loss=2.139818 lr=0.046135 Epoch[114] Batch [0399]/[1880] Speed: 100.335398 samples/sec accuracy=50.001953 loss=2.142455 lr=0.046111 Epoch[114] Batch [0449]/[1880] Speed: 105.847850 samples/sec accuracy=49.821181 loss=2.147904 lr=0.046086 Epoch[114] Batch [0499]/[1880] Speed: 102.242941 samples/sec accuracy=49.796875 loss=2.150705 lr=0.046062 Epoch[114] Batch [0549]/[1880] Speed: 106.058716 samples/sec accuracy=49.776989 loss=2.154111 lr=0.046038 Epoch[114] Batch [0599]/[1880] Speed: 102.485005 samples/sec accuracy=49.808594 loss=2.156211 lr=0.046014 Epoch[114] Batch [0649]/[1880] Speed: 106.288305 samples/sec accuracy=49.712740 loss=2.161002 lr=0.045989 Epoch[114] Batch [0699]/[1880] Speed: 107.258912 samples/sec accuracy=49.622768 loss=2.167691 lr=0.045965 Epoch[114] Batch [0749]/[1880] Speed: 101.991294 samples/sec accuracy=49.631250 loss=2.167740 lr=0.045941 Epoch[114] Batch [0799]/[1880] Speed: 106.208713 samples/sec accuracy=49.628906 loss=2.168557 lr=0.045917 Epoch[114] Batch [0849]/[1880] Speed: 102.414868 samples/sec accuracy=49.584559 loss=2.170839 lr=0.045893 Epoch[114] Batch [0899]/[1880] Speed: 106.547629 samples/sec accuracy=49.589410 loss=2.171924 lr=0.045868 Epoch[114] Batch [0949]/[1880] Speed: 110.375364 samples/sec accuracy=49.578125 loss=2.172897 lr=0.045844 Epoch[114] Batch [0999]/[1880] Speed: 99.832886 samples/sec accuracy=49.591406 loss=2.173105 lr=0.045820 Epoch[114] Batch [1049]/[1880] Speed: 104.143156 samples/sec accuracy=49.603423 loss=2.173244 lr=0.045796 Epoch[114] Batch [1099]/[1880] Speed: 104.595550 samples/sec accuracy=49.564631 loss=2.175222 lr=0.045771 Epoch[114] Batch [1149]/[1880] Speed: 106.452809 samples/sec accuracy=49.561821 loss=2.176287 lr=0.045747 Epoch[114] Batch [1199]/[1880] Speed: 102.967694 samples/sec accuracy=49.556641 loss=2.176420 lr=0.045723 Epoch[114] Batch [1249]/[1880] Speed: 106.795681 samples/sec accuracy=49.505000 loss=2.177118 lr=0.045699 Epoch[114] Batch [1299]/[1880] Speed: 102.570383 samples/sec accuracy=49.474159 loss=2.179214 lr=0.045675 Epoch[114] Batch [1349]/[1880] Speed: 108.022059 samples/sec accuracy=49.486111 loss=2.178983 lr=0.045650 Epoch[114] Batch [1399]/[1880] Speed: 101.713700 samples/sec accuracy=49.481027 loss=2.180067 lr=0.045626 Epoch[114] Batch [1449]/[1880] Speed: 106.200906 samples/sec accuracy=49.475754 loss=2.180593 lr=0.045602 Epoch[114] Batch [1499]/[1880] Speed: 109.216278 samples/sec accuracy=49.519792 loss=2.178612 lr=0.045578 Epoch[114] Batch [1549]/[1880] Speed: 98.903641 samples/sec accuracy=49.511089 loss=2.179817 lr=0.045554 Epoch[114] Batch [1599]/[1880] Speed: 107.493524 samples/sec accuracy=49.488770 loss=2.180629 lr=0.045529 Epoch[114] Batch [1649]/[1880] Speed: 99.964716 samples/sec accuracy=49.478220 loss=2.181129 lr=0.045505 Epoch[114] Batch [1699]/[1880] Speed: 111.495514 samples/sec accuracy=49.449449 loss=2.182963 lr=0.045481 Epoch[114] Batch [1749]/[1880] Speed: 100.747549 samples/sec accuracy=49.410714 loss=2.185040 lr=0.045457 Epoch[114] Batch [1799]/[1880] Speed: 107.592406 samples/sec accuracy=49.426649 loss=2.185356 lr=0.045433 Epoch[114] Batch [1849]/[1880] Speed: 106.180496 samples/sec accuracy=49.396537 loss=2.186070 lr=0.045408 Batch [0049]/[0151]: acc-top1=46.500000 acc-top5=71.296875 Batch [0099]/[0151]: acc-top1=50.273437 acc-top5=73.742188 Batch [0149]/[0151]: acc-top1=48.848958 acc-top5=73.421875 [Epoch 114] training: accuracy=49.379987 loss=2.187324 [Epoch 114] speed: 104 samples/sec time cost: 2512.206414 [Epoch 114] validation: acc-top1=48.768626 acc-top5=73.365066 loss=2.281208 Epoch[115] Batch [0049]/[1880] Speed: 75.535360 samples/sec accuracy=49.968750 loss=2.132285 lr=0.045370 Epoch[115] Batch [0099]/[1880] Speed: 106.673982 samples/sec accuracy=49.968750 loss=2.153430 lr=0.045345 Epoch[115] Batch [0149]/[1880] Speed: 104.820504 samples/sec accuracy=49.916667 loss=2.157449 lr=0.045321 Epoch[115] Batch [0199]/[1880] Speed: 101.112597 samples/sec accuracy=50.046875 loss=2.154941 lr=0.045297 Epoch[115] Batch [0249]/[1880] Speed: 106.351540 samples/sec accuracy=50.084375 loss=2.146822 lr=0.045273 Epoch[115] Batch [0299]/[1880] Speed: 102.215957 samples/sec accuracy=50.119792 loss=2.144479 lr=0.045249 Epoch[115] Batch [0349]/[1880] Speed: 109.889521 samples/sec accuracy=50.261161 loss=2.140959 lr=0.045224 Epoch[115] Batch [0399]/[1880] Speed: 98.378766 samples/sec accuracy=50.113281 loss=2.146871 lr=0.045200 Epoch[115] Batch [0449]/[1880] Speed: 108.379893 samples/sec accuracy=50.046875 loss=2.150443 lr=0.045176 Epoch[115] Batch [0499]/[1880] Speed: 107.953479 samples/sec accuracy=50.032812 loss=2.148560 lr=0.045152 Epoch[115] Batch [0549]/[1880] Speed: 98.927013 samples/sec accuracy=49.954545 loss=2.153030 lr=0.045128 Epoch[115] Batch [0599]/[1880] Speed: 110.146352 samples/sec accuracy=49.921875 loss=2.156562 lr=0.045104 Epoch[115] Batch [0649]/[1880] Speed: 100.514771 samples/sec accuracy=49.969952 loss=2.155759 lr=0.045079 Epoch[115] Batch [0699]/[1880] Speed: 106.713629 samples/sec accuracy=49.904018 loss=2.156897 lr=0.045055 Epoch[115] Batch [0749]/[1880] Speed: 101.573376 samples/sec accuracy=49.894792 loss=2.157384 lr=0.045031 Epoch[115] Batch [0799]/[1880] Speed: 104.138709 samples/sec accuracy=49.853516 loss=2.160309 lr=0.045007 Epoch[115] Batch 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accuracy=49.780048 loss=2.162090 lr=0.044765 Epoch[115] Batch [1349]/[1880] Speed: 102.521519 samples/sec accuracy=49.769676 loss=2.163700 lr=0.044741 Epoch[115] Batch [1399]/[1880] Speed: 103.135964 samples/sec accuracy=49.765067 loss=2.163392 lr=0.044717 Epoch[115] Batch [1449]/[1880] Speed: 111.347070 samples/sec accuracy=49.747845 loss=2.165312 lr=0.044693 Epoch[115] Batch [1499]/[1880] Speed: 98.063547 samples/sec accuracy=49.768750 loss=2.165457 lr=0.044668 Epoch[115] Batch [1549]/[1880] Speed: 108.996375 samples/sec accuracy=49.778730 loss=2.164691 lr=0.044644 Epoch[115] Batch [1599]/[1880] Speed: 103.514713 samples/sec accuracy=49.788086 loss=2.165404 lr=0.044620 Epoch[115] Batch [1649]/[1880] Speed: 106.117142 samples/sec accuracy=49.756629 loss=2.167346 lr=0.044596 Epoch[115] Batch [1699]/[1880] Speed: 106.687270 samples/sec accuracy=49.737592 loss=2.168149 lr=0.044572 Epoch[115] Batch [1749]/[1880] Speed: 101.085539 samples/sec accuracy=49.723661 loss=2.168159 lr=0.044548 Epoch[115] Batch [1799]/[1880] Speed: 107.245924 samples/sec accuracy=49.718750 loss=2.168259 lr=0.044523 Epoch[115] Batch [1849]/[1880] Speed: 102.768114 samples/sec accuracy=49.678632 loss=2.169965 lr=0.044499 Batch [0049]/[0151]: acc-top1=47.437500 acc-top5=72.703125 Batch [0099]/[0151]: acc-top1=51.101562 acc-top5=75.148438 Batch [0149]/[0151]: acc-top1=49.828125 acc-top5=74.713542 [Epoch 115] training: accuracy=49.677111 loss=2.169975 [Epoch 115] speed: 104 samples/sec time cost: 2515.387513 [Epoch 115] validation: acc-top1=49.756829 acc-top5=74.689570 loss=2.191294 Epoch[116] Batch [0049]/[1879] Speed: 75.205843 samples/sec accuracy=50.140625 loss=2.148972 lr=0.044461 Epoch[116] Batch [0099]/[1879] Speed: 107.763609 samples/sec accuracy=50.062500 loss=2.154721 lr=0.044437 Epoch[116] Batch [0149]/[1879] Speed: 100.610716 samples/sec accuracy=49.984375 loss=2.158667 lr=0.044412 Epoch[116] Batch [0199]/[1879] Speed: 106.647630 samples/sec accuracy=49.933594 loss=2.159080 lr=0.044388 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109.853909 samples/sec accuracy=50.149554 loss=2.155640 lr=0.044147 Epoch[116] Batch [0749]/[1879] Speed: 103.295739 samples/sec accuracy=50.130208 loss=2.155986 lr=0.044123 Epoch[116] Batch [0799]/[1879] Speed: 104.909269 samples/sec accuracy=50.078125 loss=2.158730 lr=0.044099 Epoch[116] Batch [0849]/[1879] Speed: 101.478869 samples/sec accuracy=50.026654 loss=2.157691 lr=0.044074 Epoch[116] Batch [0899]/[1879] Speed: 108.149690 samples/sec accuracy=50.023438 loss=2.158212 lr=0.044050 Epoch[116] Batch [0949]/[1879] Speed: 102.619149 samples/sec accuracy=49.970395 loss=2.161368 lr=0.044026 Epoch[116] Batch [0999]/[1879] Speed: 104.408132 samples/sec accuracy=49.884375 loss=2.163769 lr=0.044002 Epoch[116] Batch [1049]/[1879] Speed: 108.062953 samples/sec accuracy=49.883185 loss=2.164588 lr=0.043978 Epoch[116] Batch [1099]/[1879] Speed: 101.086619 samples/sec accuracy=49.833097 loss=2.166279 lr=0.043954 Epoch[116] Batch [1149]/[1879] Speed: 106.970149 samples/sec accuracy=49.795516 loss=2.168169 lr=0.043930 Epoch[116] Batch [1199]/[1879] Speed: 99.770234 samples/sec accuracy=49.832682 loss=2.165902 lr=0.043906 Epoch[116] Batch [1249]/[1879] Speed: 109.282604 samples/sec accuracy=49.811250 loss=2.166090 lr=0.043881 Epoch[116] Batch [1299]/[1879] Speed: 100.484710 samples/sec accuracy=49.835337 loss=2.165548 lr=0.043857 Epoch[116] Batch [1349]/[1879] Speed: 107.606587 samples/sec accuracy=49.829282 loss=2.165233 lr=0.043833 Epoch[116] Batch [1399]/[1879] Speed: 103.146660 samples/sec accuracy=49.817522 loss=2.166468 lr=0.043809 Epoch[116] Batch [1449]/[1879] Speed: 106.981432 samples/sec accuracy=49.792565 loss=2.165864 lr=0.043785 Epoch[116] Batch [1499]/[1879] Speed: 101.509503 samples/sec accuracy=49.800000 loss=2.167287 lr=0.043761 Epoch[116] Batch [1549]/[1879] Speed: 109.869147 samples/sec accuracy=49.770665 loss=2.167911 lr=0.043737 Epoch[116] Batch [1599]/[1879] Speed: 101.042947 samples/sec accuracy=49.763672 loss=2.167073 lr=0.043713 Epoch[116] Batch [1649]/[1879] Speed: 106.414952 samples/sec accuracy=49.756155 loss=2.167997 lr=0.043688 Epoch[116] Batch [1699]/[1879] Speed: 99.772672 samples/sec accuracy=49.752757 loss=2.168042 lr=0.043664 Epoch[116] Batch [1749]/[1879] Speed: 109.877534 samples/sec accuracy=49.763839 loss=2.167320 lr=0.043640 Epoch[116] Batch [1799]/[1879] Speed: 105.780938 samples/sec accuracy=49.737413 loss=2.168261 lr=0.043616 Epoch[116] Batch [1849]/[1879] Speed: 102.132243 samples/sec accuracy=49.736909 loss=2.168760 lr=0.043592 Batch [0049]/[0151]: acc-top1=46.609375 acc-top5=72.781250 Batch [0099]/[0151]: acc-top1=50.718750 acc-top5=74.804688 Batch [0149]/[0151]: acc-top1=49.572917 acc-top5=74.072917 [Epoch 116] training: accuracy=49.747622 loss=2.167896 [Epoch 116] speed: 104 samples/sec time cost: 2510.085706 [Epoch 116] validation: acc-top1=49.508485 acc-top5=74.063535 loss=2.274123 Epoch[117] Batch [0049]/[1880] Speed: 75.662095 samples/sec accuracy=50.765625 loss=2.130908 lr=0.043554 Epoch[117] Batch 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accuracy=50.508523 loss=2.127293 lr=0.043313 Epoch[117] Batch [0599]/[1880] Speed: 104.300432 samples/sec accuracy=50.430990 loss=2.128757 lr=0.043289 Epoch[117] Batch [0649]/[1880] Speed: 103.938909 samples/sec accuracy=50.355769 loss=2.130302 lr=0.043265 Epoch[117] Batch [0699]/[1880] Speed: 109.090792 samples/sec accuracy=50.289062 loss=2.132136 lr=0.043241 Epoch[117] Batch [0749]/[1880] Speed: 104.127609 samples/sec accuracy=50.225000 loss=2.131458 lr=0.043217 Epoch[117] Batch [0799]/[1880] Speed: 102.957488 samples/sec accuracy=50.229492 loss=2.132961 lr=0.043193 Epoch[117] Batch [0849]/[1880] Speed: 103.853114 samples/sec accuracy=50.141544 loss=2.137993 lr=0.043169 Epoch[117] Batch [0899]/[1880] Speed: 106.562531 samples/sec accuracy=50.064236 loss=2.141433 lr=0.043145 Epoch[117] Batch [0949]/[1880] Speed: 101.688111 samples/sec accuracy=50.040296 loss=2.141419 lr=0.043120 Epoch[117] Batch [0999]/[1880] Speed: 106.840419 samples/sec accuracy=49.976562 loss=2.143751 lr=0.043096 Epoch[117] Batch [1049]/[1880] Speed: 104.184053 samples/sec accuracy=49.965030 loss=2.146241 lr=0.043072 Epoch[117] Batch [1099]/[1880] Speed: 105.157808 samples/sec accuracy=49.973722 loss=2.147488 lr=0.043048 Epoch[117] Batch [1149]/[1880] Speed: 109.549784 samples/sec accuracy=49.989810 loss=2.148420 lr=0.043024 Epoch[117] Batch [1199]/[1880] Speed: 98.878275 samples/sec accuracy=49.951172 loss=2.149739 lr=0.043000 Epoch[117] Batch [1249]/[1880] Speed: 111.490217 samples/sec accuracy=49.965000 loss=2.149671 lr=0.042976 Epoch[117] Batch [1299]/[1880] Speed: 99.493627 samples/sec accuracy=49.978966 loss=2.149916 lr=0.042952 Epoch[117] Batch [1349]/[1880] Speed: 106.552913 samples/sec accuracy=49.976273 loss=2.150121 lr=0.042928 Epoch[117] Batch [1399]/[1880] Speed: 100.678808 samples/sec accuracy=49.978237 loss=2.150247 lr=0.042904 Epoch[117] Batch [1449]/[1880] Speed: 110.458284 samples/sec accuracy=49.966595 loss=2.150412 lr=0.042880 Epoch[117] Batch [1499]/[1880] Speed: 106.655673 samples/sec accuracy=49.943750 loss=2.152129 lr=0.042856 Epoch[117] Batch [1549]/[1880] Speed: 101.597257 samples/sec accuracy=49.943548 loss=2.151244 lr=0.042832 Epoch[117] Batch [1599]/[1880] Speed: 110.177558 samples/sec accuracy=49.896484 loss=2.153364 lr=0.042808 Epoch[117] Batch [1649]/[1880] Speed: 98.778402 samples/sec accuracy=49.902462 loss=2.152714 lr=0.042784 Epoch[117] Batch [1699]/[1880] Speed: 109.167872 samples/sec accuracy=49.876838 loss=2.153743 lr=0.042760 Epoch[117] Batch [1749]/[1880] Speed: 100.191556 samples/sec accuracy=49.876339 loss=2.153926 lr=0.042736 Epoch[117] Batch [1799]/[1880] Speed: 107.159751 samples/sec accuracy=49.842882 loss=2.156405 lr=0.042712 Epoch[117] Batch [1849]/[1880] Speed: 101.823031 samples/sec accuracy=49.823480 loss=2.157032 lr=0.042687 Batch [0049]/[0151]: acc-top1=47.171875 acc-top5=73.125000 Batch [0099]/[0151]: acc-top1=49.968750 acc-top5=74.609375 Batch [0149]/[0151]: acc-top1=48.885417 acc-top5=74.171875 [Epoch 117] training: accuracy=49.831699 loss=2.156917 [Epoch 117] speed: 104 samples/sec time cost: 2513.926875 [Epoch 117] validation: acc-top1=48.820364 acc-top5=74.125621 loss=2.245019 Epoch[118] Batch [0049]/[1880] Speed: 75.533381 samples/sec accuracy=51.015625 loss=2.097221 lr=0.042649 Epoch[118] Batch [0099]/[1880] Speed: 104.973500 samples/sec accuracy=50.898438 loss=2.082982 lr=0.042625 Epoch[118] Batch [0149]/[1880] Speed: 106.451571 samples/sec accuracy=50.989583 loss=2.093844 lr=0.042601 Epoch[118] Batch [0199]/[1880] Speed: 101.194984 samples/sec accuracy=50.937500 loss=2.101355 lr=0.042577 Epoch[118] Batch [0249]/[1880] Speed: 107.628554 samples/sec accuracy=50.896875 loss=2.102586 lr=0.042553 Epoch[118] Batch [0299]/[1880] Speed: 103.334773 samples/sec accuracy=50.921875 loss=2.104484 lr=0.042529 Epoch[118] Batch [0349]/[1880] Speed: 104.939877 samples/sec accuracy=50.919643 loss=2.103746 lr=0.042505 Epoch[118] Batch [0399]/[1880] Speed: 103.099053 samples/sec accuracy=50.767578 loss=2.111101 lr=0.042481 Epoch[118] Batch [0449]/[1880] Speed: 102.741143 samples/sec accuracy=50.708333 loss=2.116380 lr=0.042457 Epoch[118] Batch [0499]/[1880] Speed: 107.082138 samples/sec accuracy=50.817188 loss=2.114872 lr=0.042433 Epoch[118] Batch [0549]/[1880] Speed: 102.483795 samples/sec accuracy=50.825284 loss=2.116766 lr=0.042409 Epoch[118] Batch [0599]/[1880] Speed: 106.205735 samples/sec accuracy=50.733073 loss=2.120885 lr=0.042385 Epoch[118] Batch [0649]/[1880] Speed: 108.050603 samples/sec accuracy=50.777644 loss=2.118857 lr=0.042361 Epoch[118] Batch [0699]/[1880] Speed: 101.749814 samples/sec accuracy=50.708705 loss=2.124731 lr=0.042337 Epoch[118] Batch [0749]/[1880] Speed: 107.358440 samples/sec accuracy=50.764583 loss=2.122913 lr=0.042313 Epoch[118] Batch [0799]/[1880] Speed: 102.076854 samples/sec accuracy=50.752930 loss=2.122980 lr=0.042289 Epoch[118] Batch [0849]/[1880] Speed: 108.156909 samples/sec accuracy=50.795037 loss=2.120903 lr=0.042265 Epoch[118] Batch [0899]/[1880] Speed: 103.543091 samples/sec accuracy=50.783854 loss=2.123094 lr=0.042241 Epoch[118] Batch [0949]/[1880] Speed: 103.251243 samples/sec accuracy=50.758224 loss=2.123882 lr=0.042217 Epoch[118] Batch [0999]/[1880] Speed: 107.802448 samples/sec accuracy=50.807813 loss=2.122578 lr=0.042193 Epoch[118] Batch [1049]/[1880] Speed: 103.436102 samples/sec accuracy=50.751488 loss=2.123493 lr=0.042169 Epoch[118] Batch [1099]/[1880] Speed: 104.030275 samples/sec accuracy=50.683239 loss=2.125775 lr=0.042145 Epoch[118] Batch [1149]/[1880] Speed: 108.686004 samples/sec accuracy=50.667120 loss=2.127783 lr=0.042121 Epoch[118] Batch [1199]/[1880] Speed: 101.862704 samples/sec accuracy=50.614583 loss=2.130478 lr=0.042097 Epoch[118] Batch [1249]/[1880] Speed: 106.166463 samples/sec accuracy=50.588125 loss=2.132286 lr=0.042073 Epoch[118] Batch [1299]/[1880] Speed: 105.088676 samples/sec accuracy=50.531851 loss=2.134409 lr=0.042049 Epoch[118] Batch [1349]/[1880] Speed: 105.446897 samples/sec accuracy=50.467593 loss=2.136916 lr=0.042025 Epoch[118] Batch [1399]/[1880] Speed: 106.414938 samples/sec accuracy=50.441406 loss=2.137323 lr=0.042001 Epoch[118] Batch [1449]/[1880] Speed: 103.386067 samples/sec accuracy=50.385776 loss=2.139490 lr=0.041977 Epoch[118] Batch [1499]/[1880] Speed: 108.565360 samples/sec accuracy=50.380729 loss=2.139039 lr=0.041953 Epoch[118] Batch [1549]/[1880] Speed: 99.980542 samples/sec accuracy=50.359879 loss=2.139487 lr=0.041929 Epoch[118] Batch [1599]/[1880] Speed: 110.158324 samples/sec accuracy=50.319824 loss=2.140595 lr=0.041905 Epoch[118] Batch [1649]/[1880] Speed: 102.088330 samples/sec accuracy=50.339489 loss=2.140461 lr=0.041881 Epoch[118] Batch [1699]/[1880] Speed: 105.778768 samples/sec accuracy=50.317555 loss=2.141669 lr=0.041857 Epoch[118] Batch [1749]/[1880] Speed: 106.326301 samples/sec accuracy=50.301786 loss=2.141889 lr=0.041833 Epoch[118] Batch [1799]/[1880] Speed: 102.721116 samples/sec accuracy=50.296441 loss=2.141935 lr=0.041809 Epoch[118] Batch [1849]/[1880] Speed: 108.806317 samples/sec accuracy=50.301098 loss=2.142112 lr=0.041785 Batch [0049]/[0151]: acc-top1=47.515625 acc-top5=73.171875 Batch [0099]/[0151]: acc-top1=51.289063 acc-top5=74.812500 Batch [0149]/[0151]: acc-top1=49.942708 acc-top5=74.651042 [Epoch 118] training: accuracy=50.287982 loss=2.142660 [Epoch 118] speed: 104 samples/sec time cost: 2507.195508 [Epoch 118] validation: acc-top1=49.870654 acc-top5=74.565397 loss=2.210467 Epoch[119] Batch [0049]/[1880] Speed: 75.070421 samples/sec accuracy=51.828125 loss=2.074160 lr=0.041746 Epoch[119] Batch [0099]/[1880] Speed: 108.487066 samples/sec accuracy=51.914062 loss=2.073083 lr=0.041722 Epoch[119] Batch [0149]/[1880] Speed: 99.992882 samples/sec accuracy=51.697917 loss=2.076449 lr=0.041699 Epoch[119] Batch [0199]/[1880] Speed: 103.739692 samples/sec accuracy=51.367188 loss=2.090679 lr=0.041675 Epoch[119] Batch [0249]/[1880] Speed: 107.389473 samples/sec accuracy=51.371875 loss=2.095620 lr=0.041651 Epoch[119] Batch [0299]/[1880] Speed: 105.880416 samples/sec accuracy=51.429688 loss=2.094482 lr=0.041627 Epoch[119] Batch [0349]/[1880] Speed: 104.591443 samples/sec accuracy=51.196429 loss=2.102893 lr=0.041603 Epoch[119] Batch [0399]/[1880] Speed: 106.729678 samples/sec accuracy=51.093750 loss=2.106507 lr=0.041579 Epoch[119] Batch [0449]/[1880] Speed: 101.066055 samples/sec accuracy=51.069444 loss=2.104996 lr=0.041555 Epoch[119] Batch [0499]/[1880] Speed: 106.455268 samples/sec accuracy=51.010937 loss=2.106434 lr=0.041531 Epoch[119] Batch [0549]/[1880] Speed: 104.791923 samples/sec accuracy=51.082386 loss=2.101912 lr=0.041507 Epoch[119] Batch [0599]/[1880] Speed: 104.300360 samples/sec accuracy=50.975260 loss=2.106148 lr=0.041483 Epoch[119] Batch [0649]/[1880] Speed: 102.574217 samples/sec accuracy=50.990385 loss=2.105514 lr=0.041459 Epoch[119] Batch [0699]/[1880] Speed: 109.589020 samples/sec accuracy=51.006696 loss=2.104800 lr=0.041435 Epoch[119] Batch [0749]/[1880] Speed: 100.501314 samples/sec accuracy=50.916667 loss=2.110504 lr=0.041411 Epoch[119] Batch [0799]/[1880] Speed: 104.399855 samples/sec accuracy=50.879883 loss=2.110974 lr=0.041387 Epoch[119] Batch [0849]/[1880] Speed: 110.604772 samples/sec accuracy=50.819853 loss=2.113413 lr=0.041363 Epoch[119] Batch [0899]/[1880] Speed: 100.573639 samples/sec accuracy=50.837674 loss=2.112823 lr=0.041339 Epoch[119] Batch [0949]/[1880] Speed: 108.483780 samples/sec accuracy=50.816612 loss=2.113377 lr=0.041315 Epoch[119] Batch [0999]/[1880] Speed: 100.457780 samples/sec accuracy=50.733594 loss=2.118605 lr=0.041291 Epoch[119] Batch [1049]/[1880] Speed: 109.036843 samples/sec accuracy=50.709821 loss=2.119426 lr=0.041267 Epoch[119] Batch [1099]/[1880] Speed: 98.789614 samples/sec accuracy=50.680398 loss=2.120490 lr=0.041244 Epoch[119] Batch [1149]/[1880] Speed: 110.963143 samples/sec accuracy=50.671875 loss=2.121544 lr=0.041220 Epoch[119] Batch [1199]/[1880] Speed: 101.845789 samples/sec accuracy=50.676432 loss=2.121916 lr=0.041196 Epoch[119] Batch [1249]/[1880] Speed: 103.975603 samples/sec accuracy=50.648125 loss=2.122687 lr=0.041172 Epoch[119] Batch [1299]/[1880] Speed: 107.168019 samples/sec accuracy=50.658654 loss=2.122701 lr=0.041148 Epoch[119] Batch [1349]/[1880] Speed: 99.367036 samples/sec accuracy=50.656829 loss=2.122031 lr=0.041124 Epoch[119] Batch [1399]/[1880] Speed: 108.805795 samples/sec accuracy=50.618304 loss=2.122800 lr=0.041100 Epoch[119] Batch [1449]/[1880] Speed: 98.959752 samples/sec accuracy=50.580280 loss=2.124909 lr=0.041076 Epoch[119] Batch [1499]/[1880] Speed: 110.488258 samples/sec accuracy=50.571354 loss=2.124843 lr=0.041052 Epoch[119] Batch [1549]/[1880] Speed: 100.796809 samples/sec accuracy=50.588206 loss=2.124293 lr=0.041028 Epoch[119] Batch [1599]/[1880] Speed: 106.870960 samples/sec accuracy=50.555176 loss=2.124259 lr=0.041004 Epoch[119] Batch [1649]/[1880] Speed: 101.976385 samples/sec accuracy=50.534091 loss=2.124991 lr=0.040981 Epoch[119] Batch [1699]/[1880] Speed: 104.013809 samples/sec accuracy=50.522518 loss=2.125930 lr=0.040957 Epoch[119] Batch [1749]/[1880] Speed: 107.224556 samples/sec accuracy=50.473214 loss=2.128887 lr=0.040933 Epoch[119] Batch [1799]/[1880] Speed: 103.469518 samples/sec accuracy=50.468316 loss=2.129082 lr=0.040909 Epoch[119] Batch [1849]/[1880] Speed: 99.712492 samples/sec accuracy=50.451436 loss=2.129686 lr=0.040885 Batch [0049]/[0151]: acc-top1=46.984375 acc-top5=72.187500 Batch [0099]/[0151]: acc-top1=50.750000 acc-top5=74.335938 Batch [0149]/[0151]: acc-top1=49.822917 acc-top5=74.442708 [Epoch 119] training: accuracy=50.418052 loss=2.130811 [Epoch 119] speed: 103 samples/sec time cost: 2517.616327 [Epoch 119] validation: acc-top1=49.751656 acc-top5=74.384313 loss=2.235872 Epoch[120] Batch [0049]/[1880] Speed: 74.475101 samples/sec accuracy=52.515625 loss=2.033519 lr=0.040847 Epoch[120] Batch [0099]/[1880] Speed: 106.278140 samples/sec accuracy=52.312500 loss=2.056031 lr=0.040823 Epoch[120] Batch 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accuracy=51.287760 loss=2.104853 lr=0.040584 Epoch[120] Batch [0649]/[1880] Speed: 108.183515 samples/sec accuracy=51.281250 loss=2.104467 lr=0.040560 Epoch[120] Batch [0699]/[1880] Speed: 102.871970 samples/sec accuracy=51.244420 loss=2.104796 lr=0.040536 Epoch[120] Batch [0749]/[1880] Speed: 101.894288 samples/sec accuracy=51.212500 loss=2.105265 lr=0.040512 Epoch[120] Batch [0799]/[1880] Speed: 104.186464 samples/sec accuracy=51.139648 loss=2.108491 lr=0.040489 Epoch[120] Batch [0849]/[1880] Speed: 101.512132 samples/sec accuracy=51.117647 loss=2.108741 lr=0.040465 Epoch[120] Batch [0899]/[1880] Speed: 102.501527 samples/sec accuracy=51.157118 loss=2.107473 lr=0.040441 Epoch[120] Batch [0949]/[1880] Speed: 107.630619 samples/sec accuracy=51.129934 loss=2.108420 lr=0.040417 Epoch[120] Batch [0999]/[1880] Speed: 107.094319 samples/sec accuracy=51.079688 loss=2.109083 lr=0.040393 Epoch[120] Batch [1049]/[1880] Speed: 100.038009 samples/sec accuracy=51.075893 loss=2.110697 lr=0.040369 Epoch[120] Batch [1099]/[1880] Speed: 106.688314 samples/sec accuracy=51.012074 loss=2.113222 lr=0.040345 Epoch[120] Batch [1149]/[1880] Speed: 104.731770 samples/sec accuracy=50.955842 loss=2.114954 lr=0.040322 Epoch[120] Batch [1199]/[1880] Speed: 100.403956 samples/sec accuracy=50.932292 loss=2.115432 lr=0.040298 Epoch[120] Batch [1249]/[1880] Speed: 107.726065 samples/sec accuracy=50.911875 loss=2.115235 lr=0.040274 Epoch[120] Batch [1299]/[1880] Speed: 102.705178 samples/sec accuracy=50.864784 loss=2.116895 lr=0.040250 Epoch[120] Batch [1349]/[1880] Speed: 104.120325 samples/sec accuracy=50.833333 loss=2.117781 lr=0.040226 Epoch[120] Batch [1399]/[1880] Speed: 104.787995 samples/sec accuracy=50.794085 loss=2.118391 lr=0.040202 Epoch[120] Batch [1449]/[1880] Speed: 102.430504 samples/sec accuracy=50.809806 loss=2.118453 lr=0.040179 Epoch[120] Batch [1499]/[1880] Speed: 107.855828 samples/sec accuracy=50.789063 loss=2.119393 lr=0.040155 Epoch[120] Batch [1549]/[1880] Speed: 102.865943 samples/sec accuracy=50.771169 loss=2.120688 lr=0.040131 Epoch[120] Batch [1599]/[1880] Speed: 106.737142 samples/sec accuracy=50.758789 loss=2.120522 lr=0.040107 Epoch[120] Batch [1649]/[1880] Speed: 101.295584 samples/sec accuracy=50.719223 loss=2.121765 lr=0.040083 Epoch[120] Batch [1699]/[1880] Speed: 106.446811 samples/sec accuracy=50.716452 loss=2.121474 lr=0.040059 Epoch[120] Batch [1749]/[1880] Speed: 105.386067 samples/sec accuracy=50.699107 loss=2.121737 lr=0.040036 Epoch[120] Batch [1799]/[1880] Speed: 99.975743 samples/sec accuracy=50.680556 loss=2.122839 lr=0.040012 Epoch[120] Batch [1849]/[1880] Speed: 105.615377 samples/sec accuracy=50.684122 loss=2.123013 lr=0.039988 Batch [0049]/[0151]: acc-top1=48.656250 acc-top5=74.031250 Batch [0099]/[0151]: acc-top1=52.296875 acc-top5=75.820312 Batch [0149]/[0151]: acc-top1=50.843750 acc-top5=75.307292 [Epoch 120] training: accuracy=50.669049 loss=2.123227 [Epoch 120] speed: 103 samples/sec time cost: 2521.519336 [Epoch 120] validation: acc-top1=50.801945 acc-top5=75.310430 loss=2.165250 Epoch[121] Batch [0049]/[1880] Speed: 75.372266 samples/sec accuracy=51.531250 loss=2.078726 lr=0.039950 Epoch[121] Batch [0099]/[1880] Speed: 107.309294 samples/sec accuracy=51.601562 loss=2.096393 lr=0.039926 Epoch[121] Batch [0149]/[1880] Speed: 103.208214 samples/sec accuracy=52.041667 loss=2.071872 lr=0.039902 Epoch[121] Batch [0199]/[1880] Speed: 104.204750 samples/sec accuracy=51.925781 loss=2.074202 lr=0.039879 Epoch[121] Batch [0249]/[1880] Speed: 104.452103 samples/sec accuracy=51.728125 loss=2.081616 lr=0.039855 Epoch[121] Batch [0299]/[1880] Speed: 105.154102 samples/sec accuracy=51.700521 loss=2.087054 lr=0.039831 Epoch[121] Batch [0349]/[1880] Speed: 105.531640 samples/sec accuracy=51.792411 loss=2.083174 lr=0.039807 Epoch[121] Batch [0399]/[1880] Speed: 106.008167 samples/sec accuracy=51.705078 loss=2.084565 lr=0.039783 Epoch[121] Batch [0449]/[1880] Speed: 102.377919 samples/sec accuracy=51.727431 loss=2.081242 lr=0.039760 Epoch[121] Batch [0499]/[1880] Speed: 106.135103 samples/sec accuracy=51.600000 loss=2.082208 lr=0.039736 Epoch[121] Batch [0549]/[1880] Speed: 104.797894 samples/sec accuracy=51.529830 loss=2.087473 lr=0.039712 Epoch[121] Batch [0599]/[1880] Speed: 106.182922 samples/sec accuracy=51.455729 loss=2.091096 lr=0.039688 Epoch[121] Batch [0649]/[1880] Speed: 103.482044 samples/sec accuracy=51.421875 loss=2.093477 lr=0.039664 Epoch[121] Batch [0699]/[1880] Speed: 100.539098 samples/sec accuracy=51.357143 loss=2.096035 lr=0.039641 Epoch[121] Batch [0749]/[1880] Speed: 107.375323 samples/sec accuracy=51.218750 loss=2.100607 lr=0.039617 Epoch[121] Batch [0799]/[1880] Speed: 109.358870 samples/sec accuracy=51.218750 loss=2.100471 lr=0.039593 Epoch[121] Batch [0849]/[1880] Speed: 97.553025 samples/sec accuracy=51.256434 loss=2.099595 lr=0.039569 Epoch[121] Batch [0899]/[1880] Speed: 104.976759 samples/sec accuracy=51.241319 loss=2.100016 lr=0.039546 Epoch[121] Batch 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accuracy=51.102121 loss=2.103247 lr=0.039308 Epoch[121] Batch [1449]/[1880] Speed: 100.162391 samples/sec accuracy=51.034483 loss=2.105059 lr=0.039284 Epoch[121] Batch [1499]/[1880] Speed: 107.776038 samples/sec accuracy=51.050521 loss=2.104491 lr=0.039261 Epoch[121] Batch [1549]/[1880] Speed: 103.250040 samples/sec accuracy=51.030242 loss=2.105011 lr=0.039237 Epoch[121] Batch [1599]/[1880] Speed: 104.252248 samples/sec accuracy=50.969238 loss=2.107647 lr=0.039213 Epoch[121] Batch [1649]/[1880] Speed: 100.023298 samples/sec accuracy=50.972064 loss=2.107746 lr=0.039189 Epoch[121] Batch [1699]/[1880] Speed: 108.675913 samples/sec accuracy=50.961397 loss=2.108201 lr=0.039166 Epoch[121] Batch [1749]/[1880] Speed: 106.528089 samples/sec accuracy=50.958482 loss=2.107813 lr=0.039142 Epoch[121] Batch [1799]/[1880] Speed: 102.210036 samples/sec accuracy=50.932726 loss=2.108959 lr=0.039118 Epoch[121] Batch [1849]/[1880] Speed: 107.392205 samples/sec accuracy=50.891892 loss=2.110368 lr=0.039095 Batch [0049]/[0151]: acc-top1=47.781250 acc-top5=73.156250 Batch [0099]/[0151]: acc-top1=51.898438 acc-top5=75.398438 Batch [0149]/[0151]: acc-top1=50.505208 acc-top5=74.979167 [Epoch 121] training: accuracy=50.907164 loss=2.110358 [Epoch 121] speed: 103 samples/sec time cost: 2519.830754 [Epoch 121] validation: acc-top1=50.408733 acc-top5=74.932740 loss=2.205817 Epoch[122] Batch [0049]/[1879] Speed: 74.956934 samples/sec accuracy=53.328125 loss=2.015259 lr=0.039057 Epoch[122] Batch [0099]/[1879] Speed: 105.142590 samples/sec accuracy=52.945312 loss=2.039888 lr=0.039033 Epoch[122] Batch [0149]/[1879] Speed: 104.558198 samples/sec accuracy=52.625000 loss=2.052180 lr=0.039009 Epoch[122] Batch [0199]/[1879] Speed: 102.794003 samples/sec accuracy=52.218750 loss=2.063716 lr=0.038985 Epoch[122] Batch [0249]/[1879] Speed: 107.921857 samples/sec accuracy=52.018750 loss=2.069911 lr=0.038962 Epoch[122] Batch [0299]/[1879] Speed: 104.210964 samples/sec accuracy=52.033854 loss=2.070126 lr=0.038938 Epoch[122] Batch [0349]/[1879] Speed: 104.303352 samples/sec accuracy=52.037946 loss=2.072497 lr=0.038914 Epoch[122] Batch [0399]/[1879] Speed: 107.209628 samples/sec accuracy=51.802734 loss=2.075670 lr=0.038891 Epoch[122] Batch [0449]/[1879] Speed: 99.303182 samples/sec accuracy=51.795139 loss=2.074816 lr=0.038867 Epoch[122] Batch [0499]/[1879] Speed: 109.813912 samples/sec accuracy=51.703125 loss=2.077462 lr=0.038843 Epoch[122] Batch [0549]/[1879] Speed: 103.405622 samples/sec accuracy=51.606534 loss=2.081198 lr=0.038820 Epoch[122] Batch [0599]/[1879] Speed: 104.520398 samples/sec accuracy=51.520833 loss=2.085889 lr=0.038796 Epoch[122] Batch [0649]/[1879] Speed: 104.436803 samples/sec accuracy=51.481971 loss=2.085336 lr=0.038772 Epoch[122] Batch [0699]/[1879] Speed: 108.549246 samples/sec accuracy=51.421875 loss=2.087393 lr=0.038749 Epoch[122] Batch [0749]/[1879] Speed: 99.428937 samples/sec accuracy=51.450000 loss=2.088419 lr=0.038725 Epoch[122] Batch [0799]/[1879] Speed: 111.260550 samples/sec accuracy=51.416016 loss=2.088703 lr=0.038701 Epoch[122] Batch [0849]/[1879] Speed: 104.120742 samples/sec accuracy=51.405331 loss=2.088521 lr=0.038678 Epoch[122] Batch [0899]/[1879] Speed: 103.287078 samples/sec accuracy=51.430556 loss=2.086799 lr=0.038654 Epoch[122] Batch [0949]/[1879] Speed: 105.252790 samples/sec accuracy=51.402138 loss=2.089158 lr=0.038630 Epoch[122] Batch [0999]/[1879] Speed: 104.653131 samples/sec accuracy=51.395313 loss=2.091509 lr=0.038607 Epoch[122] Batch [1049]/[1879] Speed: 104.095216 samples/sec accuracy=51.414435 loss=2.091459 lr=0.038583 Epoch[122] Batch [1099]/[1879] Speed: 104.323101 samples/sec accuracy=51.414062 loss=2.091810 lr=0.038559 Epoch[122] Batch [1149]/[1879] Speed: 106.173119 samples/sec accuracy=51.455163 loss=2.090813 lr=0.038536 Epoch[122] Batch [1199]/[1879] Speed: 104.988349 samples/sec accuracy=51.456380 loss=2.092973 lr=0.038512 Epoch[122] Batch [1249]/[1879] Speed: 104.909501 samples/sec accuracy=51.438750 loss=2.093718 lr=0.038488 Epoch[122] Batch [1299]/[1879] Speed: 101.350552 samples/sec accuracy=51.360577 loss=2.094948 lr=0.038465 Epoch[122] Batch [1349]/[1879] Speed: 108.347363 samples/sec accuracy=51.383681 loss=2.095798 lr=0.038441 Epoch[122] Batch [1399]/[1879] Speed: 100.805572 samples/sec accuracy=51.393415 loss=2.096320 lr=0.038417 Epoch[122] Batch [1449]/[1879] Speed: 109.845010 samples/sec accuracy=51.389009 loss=2.096729 lr=0.038394 Epoch[122] Batch [1499]/[1879] Speed: 102.244161 samples/sec accuracy=51.354687 loss=2.097480 lr=0.038370 Epoch[122] Batch [1549]/[1879] Speed: 103.154462 samples/sec accuracy=51.336190 loss=2.097692 lr=0.038346 Epoch[122] Batch [1599]/[1879] Speed: 108.338662 samples/sec accuracy=51.293457 loss=2.099471 lr=0.038323 Epoch[122] Batch [1649]/[1879] Speed: 100.712686 samples/sec accuracy=51.290246 loss=2.098847 lr=0.038299 Epoch[122] Batch [1699]/[1879] Speed: 107.798098 samples/sec accuracy=51.293658 loss=2.098469 lr=0.038276 Epoch[122] Batch [1749]/[1879] Speed: 99.140816 samples/sec accuracy=51.264286 loss=2.099407 lr=0.038252 Epoch[122] Batch [1799]/[1879] Speed: 109.441621 samples/sec accuracy=51.287760 loss=2.097860 lr=0.038228 Epoch[122] Batch [1849]/[1879] Speed: 101.091429 samples/sec accuracy=51.254645 loss=2.099005 lr=0.038205 Batch [0049]/[0151]: acc-top1=47.234375 acc-top5=71.859375 Batch [0099]/[0151]: acc-top1=51.039062 acc-top5=74.554688 Batch [0149]/[0151]: acc-top1=49.718750 acc-top5=74.260417 [Epoch 122] training: accuracy=51.275612 loss=2.097645 [Epoch 122] speed: 104 samples/sec time cost: 2514.146017 [Epoch 122] validation: acc-top1=49.668874 acc-top5=74.223924 loss=2.270988 Epoch[123] Batch [0049]/[1880] Speed: 75.011011 samples/sec accuracy=51.328125 loss=2.074906 lr=0.038167 Epoch[123] Batch [0099]/[1880] Speed: 108.377540 samples/sec accuracy=51.648438 loss=2.051305 lr=0.038144 Epoch[123] Batch [0149]/[1880] Speed: 101.226700 samples/sec accuracy=51.588542 loss=2.062261 lr=0.038120 Epoch[123] Batch [0199]/[1880] Speed: 106.578988 samples/sec accuracy=51.734375 loss=2.061901 lr=0.038097 Epoch[123] Batch [0249]/[1880] Speed: 104.787284 samples/sec accuracy=51.978125 loss=2.059037 lr=0.038073 Epoch[123] Batch [0299]/[1880] Speed: 106.930523 samples/sec accuracy=52.083333 loss=2.056493 lr=0.038049 Epoch[123] Batch [0349]/[1880] Speed: 101.384017 samples/sec accuracy=51.997768 loss=2.064977 lr=0.038026 Epoch[123] Batch [0399]/[1880] Speed: 107.385636 samples/sec accuracy=52.039062 loss=2.065373 lr=0.038002 Epoch[123] Batch [0449]/[1880] Speed: 103.992418 samples/sec accuracy=52.008681 loss=2.064837 lr=0.037979 Epoch[123] Batch [0499]/[1880] Speed: 103.580088 samples/sec accuracy=51.900000 loss=2.067064 lr=0.037955 Epoch[123] Batch [0549]/[1880] Speed: 108.682262 samples/sec accuracy=51.904830 loss=2.067774 lr=0.037931 Epoch[123] Batch [0599]/[1880] Speed: 100.596814 samples/sec accuracy=51.872396 loss=2.067585 lr=0.037908 Epoch[123] Batch [0649]/[1880] Speed: 107.650108 samples/sec accuracy=51.879808 loss=2.067657 lr=0.037884 Epoch[123] Batch [0699]/[1880] Speed: 102.812287 samples/sec accuracy=51.876116 loss=2.069301 lr=0.037861 Epoch[123] Batch [0749]/[1880] Speed: 104.294501 samples/sec accuracy=51.830208 loss=2.071988 lr=0.037837 Epoch[123] Batch [0799]/[1880] Speed: 104.972402 samples/sec accuracy=51.800781 loss=2.072763 lr=0.037814 Epoch[123] Batch [0849]/[1880] Speed: 104.561021 samples/sec accuracy=51.825368 loss=2.070296 lr=0.037790 Epoch[123] Batch [0899]/[1880] Speed: 103.486966 samples/sec accuracy=51.752604 loss=2.072615 lr=0.037766 Epoch[123] Batch [0949]/[1880] Speed: 102.116333 samples/sec accuracy=51.767270 loss=2.071496 lr=0.037743 Epoch[123] Batch [0999]/[1880] Speed: 101.328833 samples/sec accuracy=51.721875 loss=2.072544 lr=0.037719 Epoch[123] Batch [1049]/[1880] Speed: 110.654506 samples/sec accuracy=51.654762 loss=2.077361 lr=0.037696 Epoch[123] Batch [1099]/[1880] Speed: 95.452441 samples/sec accuracy=51.593750 loss=2.079497 lr=0.037672 Epoch[123] Batch [1149]/[1880] Speed: 107.290433 samples/sec accuracy=51.588995 loss=2.080613 lr=0.037649 Epoch[123] Batch [1199]/[1880] Speed: 107.099850 samples/sec accuracy=51.569010 loss=2.081324 lr=0.037625 Epoch[123] Batch [1249]/[1880] Speed: 98.605899 samples/sec accuracy=51.573125 loss=2.082073 lr=0.037602 Epoch[123] Batch [1299]/[1880] Speed: 111.378971 samples/sec accuracy=51.572115 loss=2.082900 lr=0.037578 Epoch[123] Batch [1349]/[1880] Speed: 98.502581 samples/sec accuracy=51.594329 loss=2.082970 lr=0.037554 Epoch[123] Batch [1399]/[1880] Speed: 109.782868 samples/sec accuracy=51.574219 loss=2.082926 lr=0.037531 Epoch[123] Batch [1449]/[1880] Speed: 95.817174 samples/sec accuracy=51.570043 loss=2.083248 lr=0.037507 Epoch[123] Batch [1499]/[1880] Speed: 110.435265 samples/sec accuracy=51.547917 loss=2.083660 lr=0.037484 Epoch[123] Batch [1549]/[1880] Speed: 97.514273 samples/sec accuracy=51.575605 loss=2.083210 lr=0.037460 Epoch[123] Batch [1599]/[1880] Speed: 107.885263 samples/sec accuracy=51.553223 loss=2.083263 lr=0.037437 Epoch[123] Batch [1649]/[1880] Speed: 103.350569 samples/sec accuracy=51.526515 loss=2.084608 lr=0.037413 Epoch[123] Batch [1699]/[1880] Speed: 101.251915 samples/sec accuracy=51.520680 loss=2.085007 lr=0.037390 Epoch[123] Batch [1749]/[1880] Speed: 109.882394 samples/sec accuracy=51.480804 loss=2.086078 lr=0.037366 Epoch[123] Batch [1799]/[1880] Speed: 100.660317 samples/sec accuracy=51.467014 loss=2.086273 lr=0.037343 Epoch[123] Batch [1849]/[1880] Speed: 106.944462 samples/sec accuracy=51.426098 loss=2.087250 lr=0.037319 Batch [0049]/[0151]: acc-top1=48.093750 acc-top5=73.000000 Batch [0099]/[0151]: acc-top1=51.929688 acc-top5=75.343750 Batch [0149]/[0151]: acc-top1=50.843750 acc-top5=75.244792 [Epoch 123] training: accuracy=51.427028 loss=2.087243 [Epoch 123] speed: 103 samples/sec time cost: 2523.305846 [Epoch 123] validation: acc-top1=50.760555 acc-top5=75.175911 loss=2.194104 Epoch[124] Batch [0049]/[1880] Speed: 73.927007 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108.310788 samples/sec accuracy=51.826562 loss=2.063000 lr=0.036836 Epoch[124] Batch [1049]/[1880] Speed: 112.624221 samples/sec accuracy=51.797619 loss=2.065134 lr=0.036812 Epoch[124] Batch [1099]/[1880] Speed: 97.220790 samples/sec accuracy=51.814631 loss=2.065248 lr=0.036789 Epoch[124] Batch [1149]/[1880] Speed: 107.528717 samples/sec accuracy=51.765625 loss=2.066032 lr=0.036765 Epoch[124] Batch [1199]/[1880] Speed: 102.440198 samples/sec accuracy=51.744792 loss=2.067516 lr=0.036742 Epoch[124] Batch [1249]/[1880] Speed: 105.828530 samples/sec accuracy=51.716250 loss=2.067878 lr=0.036718 Epoch[124] Batch [1299]/[1880] Speed: 99.270524 samples/sec accuracy=51.681490 loss=2.070464 lr=0.036695 Epoch[124] Batch [1349]/[1880] Speed: 104.813449 samples/sec accuracy=51.740162 loss=2.069935 lr=0.036672 Epoch[124] Batch [1399]/[1880] Speed: 103.250643 samples/sec accuracy=51.736049 loss=2.070623 lr=0.036648 Epoch[124] Batch [1449]/[1880] Speed: 108.240326 samples/sec accuracy=51.703125 loss=2.072374 lr=0.036625 Epoch[124] Batch [1499]/[1880] Speed: 100.117260 samples/sec accuracy=51.686458 loss=2.074264 lr=0.036601 Epoch[124] Batch [1549]/[1880] Speed: 106.191520 samples/sec accuracy=51.659274 loss=2.074529 lr=0.036578 Epoch[124] Batch [1599]/[1880] Speed: 102.749834 samples/sec accuracy=51.623535 loss=2.075123 lr=0.036554 Epoch[124] Batch [1649]/[1880] Speed: 102.624442 samples/sec accuracy=51.615530 loss=2.075105 lr=0.036531 Epoch[124] Batch [1699]/[1880] Speed: 103.403078 samples/sec accuracy=51.583180 loss=2.077037 lr=0.036508 Epoch[124] Batch [1749]/[1880] Speed: 101.819279 samples/sec accuracy=51.591518 loss=2.077249 lr=0.036484 Epoch[124] Batch [1799]/[1880] Speed: 109.811408 samples/sec accuracy=51.610677 loss=2.076856 lr=0.036461 Epoch[124] Batch [1849]/[1880] Speed: 97.924963 samples/sec accuracy=51.614020 loss=2.076544 lr=0.036438 Batch [0049]/[0151]: acc-top1=46.968750 acc-top5=71.906250 Batch [0099]/[0151]: acc-top1=52.382812 acc-top5=74.976562 Batch [0149]/[0151]: acc-top1=51.234375 acc-top5=75.145833 [Epoch 124] training: accuracy=51.616107 loss=2.076831 [Epoch 124] speed: 103 samples/sec time cost: 2527.366739 [Epoch 124] validation: acc-top1=51.184810 acc-top5=75.087955 loss=2.170664 Epoch[125] Batch [0049]/[1880] Speed: 76.029317 samples/sec accuracy=51.625000 loss=2.054002 lr=0.036400 Epoch[125] Batch [0099]/[1880] Speed: 106.083546 samples/sec accuracy=51.460938 loss=2.076858 lr=0.036377 Epoch[125] Batch [0149]/[1880] Speed: 104.077683 samples/sec accuracy=51.968750 loss=2.062491 lr=0.036353 Epoch[125] Batch [0199]/[1880] Speed: 104.798024 samples/sec accuracy=52.078125 loss=2.055501 lr=0.036330 Epoch[125] Batch [0249]/[1880] Speed: 105.423963 samples/sec accuracy=52.196875 loss=2.053037 lr=0.036307 Epoch[125] Batch [0299]/[1880] Speed: 102.151188 samples/sec accuracy=52.247396 loss=2.048967 lr=0.036283 Epoch[125] Batch [0349]/[1880] Speed: 107.286203 samples/sec accuracy=52.245536 loss=2.047007 lr=0.036260 Epoch[125] Batch 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accuracy=52.045956 loss=2.059733 lr=0.036026 Epoch[125] Batch [0899]/[1880] Speed: 101.256145 samples/sec accuracy=52.008681 loss=2.060459 lr=0.036003 Epoch[125] Batch [0949]/[1880] Speed: 107.298637 samples/sec accuracy=51.986842 loss=2.060074 lr=0.035980 Epoch[125] Batch [0999]/[1880] Speed: 102.346124 samples/sec accuracy=52.005469 loss=2.059483 lr=0.035956 Epoch[125] Batch [1049]/[1880] Speed: 105.662693 samples/sec accuracy=51.934524 loss=2.061912 lr=0.035933 Epoch[125] Batch [1099]/[1880] Speed: 104.633468 samples/sec accuracy=51.885653 loss=2.062045 lr=0.035910 Epoch[125] Batch [1149]/[1880] Speed: 102.271309 samples/sec accuracy=51.871603 loss=2.063284 lr=0.035886 Epoch[125] Batch [1199]/[1880] Speed: 108.576384 samples/sec accuracy=51.878255 loss=2.064363 lr=0.035863 Epoch[125] Batch [1249]/[1880] Speed: 102.518112 samples/sec accuracy=51.915000 loss=2.062477 lr=0.035840 Epoch[125] Batch [1299]/[1880] Speed: 105.668385 samples/sec accuracy=51.899639 loss=2.063442 lr=0.035816 Epoch[125] Batch [1349]/[1880] Speed: 109.142583 samples/sec accuracy=51.890625 loss=2.064601 lr=0.035793 Epoch[125] Batch [1399]/[1880] Speed: 101.267885 samples/sec accuracy=51.877790 loss=2.065007 lr=0.035770 Epoch[125] Batch [1449]/[1880] Speed: 106.278477 samples/sec accuracy=51.869073 loss=2.065085 lr=0.035747 Epoch[125] Batch [1499]/[1880] Speed: 105.337481 samples/sec accuracy=51.898958 loss=2.063795 lr=0.035723 Epoch[125] Batch [1549]/[1880] Speed: 104.189868 samples/sec accuracy=51.890625 loss=2.065098 lr=0.035700 Epoch[125] Batch [1599]/[1880] Speed: 103.619434 samples/sec accuracy=51.911621 loss=2.064808 lr=0.035677 Epoch[125] Batch [1649]/[1880] Speed: 106.192321 samples/sec accuracy=51.920928 loss=2.064553 lr=0.035653 Epoch[125] Batch [1699]/[1880] Speed: 100.200491 samples/sec accuracy=51.921415 loss=2.064057 lr=0.035630 Epoch[125] Batch [1749]/[1880] Speed: 110.983560 samples/sec accuracy=51.913393 loss=2.063710 lr=0.035607 Epoch[125] Batch [1799]/[1880] Speed: 103.753151 samples/sec accuracy=51.880642 loss=2.065050 lr=0.035584 Epoch[125] Batch [1849]/[1880] Speed: 104.672930 samples/sec accuracy=51.866132 loss=2.066631 lr=0.035560 Batch [0049]/[0151]: acc-top1=49.125000 acc-top5=72.843750 Batch [0099]/[0151]: acc-top1=52.921875 acc-top5=75.429688 Batch [0149]/[0151]: acc-top1=51.817708 acc-top5=75.364583 [Epoch 125] training: accuracy=51.873338 loss=2.066945 [Epoch 125] speed: 104 samples/sec time cost: 2511.823463 [Epoch 125] validation: acc-top1=51.769454 acc-top5=75.372517 loss=2.118591 Epoch[126] Batch [0049]/[1880] Speed: 75.202236 samples/sec accuracy=53.531250 loss=1.980881 lr=0.035523 Epoch[126] Batch [0099]/[1880] Speed: 108.753974 samples/sec accuracy=53.156250 loss=1.991527 lr=0.035500 Epoch[126] Batch [0149]/[1880] Speed: 104.733965 samples/sec accuracy=53.036458 loss=2.007951 lr=0.035477 Epoch[126] Batch [0199]/[1880] Speed: 101.154445 samples/sec accuracy=53.015625 loss=2.006621 lr=0.035453 Epoch[126] Batch [0249]/[1880] Speed: 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loss=2.031427 lr=0.035221 Epoch[126] Batch [0749]/[1880] Speed: 106.346412 samples/sec accuracy=52.512500 loss=2.031642 lr=0.035198 Epoch[126] Batch [0799]/[1880] Speed: 102.563769 samples/sec accuracy=52.499023 loss=2.034722 lr=0.035175 Epoch[126] Batch [0849]/[1880] Speed: 111.146904 samples/sec accuracy=52.457721 loss=2.036110 lr=0.035151 Epoch[126] Batch [0899]/[1880] Speed: 97.576409 samples/sec accuracy=52.427951 loss=2.037096 lr=0.035128 Epoch[126] Batch [0949]/[1880] Speed: 109.806987 samples/sec accuracy=52.439967 loss=2.038619 lr=0.035105 Epoch[126] Batch [0999]/[1880] Speed: 108.388566 samples/sec accuracy=52.425781 loss=2.039570 lr=0.035082 Epoch[126] Batch [1049]/[1880] Speed: 100.883018 samples/sec accuracy=52.378720 loss=2.041421 lr=0.035059 Epoch[126] Batch [1099]/[1880] Speed: 108.378848 samples/sec accuracy=52.348011 loss=2.042228 lr=0.035035 Epoch[126] Batch [1149]/[1880] Speed: 99.003586 samples/sec accuracy=52.349185 loss=2.042836 lr=0.035012 Epoch[126] Batch 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accuracy=52.154830 loss=2.053690 lr=0.034781 Epoch[126] Batch [1699]/[1880] Speed: 109.004135 samples/sec accuracy=52.105239 loss=2.055524 lr=0.034757 Epoch[126] Batch [1749]/[1880] Speed: 98.249923 samples/sec accuracy=52.093304 loss=2.056369 lr=0.034734 Epoch[126] Batch [1799]/[1880] Speed: 109.937589 samples/sec accuracy=52.080729 loss=2.056208 lr=0.034711 Epoch[126] Batch [1849]/[1880] Speed: 101.936330 samples/sec accuracy=52.074747 loss=2.056600 lr=0.034688 Batch [0049]/[0151]: acc-top1=47.937500 acc-top5=72.812500 Batch [0099]/[0151]: acc-top1=52.296875 acc-top5=75.718750 Batch [0149]/[0151]: acc-top1=51.156250 acc-top5=75.187500 [Epoch 126] training: accuracy=52.077793 loss=2.056710 [Epoch 126] speed: 104 samples/sec time cost: 2510.480791 [Epoch 126] validation: acc-top1=51.091680 acc-top5=75.139694 loss=2.161520 Epoch[127] Batch [0049]/[1880] Speed: 74.631632 samples/sec accuracy=53.671875 loss=1.980967 lr=0.034651 Epoch[127] Batch [0099]/[1880] Speed: 106.166564 samples/sec accuracy=53.523438 loss=1.985599 lr=0.034628 Epoch[127] Batch [0149]/[1880] Speed: 105.113799 samples/sec accuracy=53.109375 loss=2.005548 lr=0.034605 Epoch[127] Batch [0199]/[1880] Speed: 106.093285 samples/sec accuracy=53.132813 loss=2.003410 lr=0.034582 Epoch[127] Batch [0249]/[1880] Speed: 100.592758 samples/sec accuracy=53.018750 loss=2.006122 lr=0.034558 Epoch[127] Batch [0299]/[1880] Speed: 110.124515 samples/sec accuracy=52.981771 loss=2.014511 lr=0.034535 Epoch[127] Batch [0349]/[1880] Speed: 100.310512 samples/sec accuracy=52.774554 loss=2.018058 lr=0.034512 Epoch[127] Batch [0399]/[1880] Speed: 107.896437 samples/sec accuracy=52.839844 loss=2.016592 lr=0.034489 Epoch[127] Batch [0449]/[1880] Speed: 103.156808 samples/sec accuracy=52.758681 loss=2.018882 lr=0.034466 Epoch[127] Batch [0499]/[1880] Speed: 105.592042 samples/sec accuracy=52.707812 loss=2.019729 lr=0.034443 Epoch[127] Batch [0549]/[1880] Speed: 105.178046 samples/sec accuracy=52.750000 loss=2.017799 lr=0.034420 Epoch[127] Batch [0599]/[1880] Speed: 103.901115 samples/sec accuracy=52.708333 loss=2.019465 lr=0.034397 Epoch[127] Batch [0649]/[1880] Speed: 106.829696 samples/sec accuracy=52.668269 loss=2.021908 lr=0.034374 Epoch[127] Batch [0699]/[1880] Speed: 105.981328 samples/sec accuracy=52.699777 loss=2.022032 lr=0.034351 Epoch[127] Batch [0749]/[1880] Speed: 104.208376 samples/sec accuracy=52.781250 loss=2.017742 lr=0.034328 Epoch[127] Batch [0799]/[1880] Speed: 103.559580 samples/sec accuracy=52.763672 loss=2.018636 lr=0.034304 Epoch[127] Batch [0849]/[1880] Speed: 108.142772 samples/sec accuracy=52.733456 loss=2.019448 lr=0.034281 Epoch[127] Batch [0899]/[1880] Speed: 100.568175 samples/sec accuracy=52.670139 loss=2.021240 lr=0.034258 Epoch[127] Batch [0949]/[1880] Speed: 109.880217 samples/sec accuracy=52.619243 loss=2.024391 lr=0.034235 Epoch[127] Batch [0999]/[1880] Speed: 101.120043 samples/sec accuracy=52.621094 loss=2.023702 lr=0.034212 Epoch[127] Batch [1049]/[1880] Speed: 106.786717 samples/sec accuracy=52.567708 loss=2.026813 lr=0.034189 Epoch[127] Batch [1099]/[1880] Speed: 101.249909 samples/sec accuracy=52.533381 loss=2.028687 lr=0.034166 Epoch[127] Batch [1149]/[1880] Speed: 107.415584 samples/sec accuracy=52.478940 loss=2.032327 lr=0.034143 Epoch[127] Batch [1199]/[1880] Speed: 103.103544 samples/sec accuracy=52.450521 loss=2.033398 lr=0.034120 Epoch[127] Batch [1249]/[1880] Speed: 106.676036 samples/sec accuracy=52.475000 loss=2.032880 lr=0.034097 Epoch[127] Batch [1299]/[1880] Speed: 105.440282 samples/sec accuracy=52.436899 loss=2.035845 lr=0.034074 Epoch[127] Batch [1349]/[1880] Speed: 100.915022 samples/sec accuracy=52.421296 loss=2.037362 lr=0.034051 Epoch[127] Batch [1399]/[1880] Speed: 109.474843 samples/sec accuracy=52.468192 loss=2.036538 lr=0.034028 Epoch[127] Batch [1449]/[1880] Speed: 100.065044 samples/sec accuracy=52.431034 loss=2.037313 lr=0.034005 Epoch[127] Batch [1499]/[1880] Speed: 104.860499 samples/sec accuracy=52.409375 loss=2.037391 lr=0.033982 Epoch[127] Batch [1549]/[1880] Speed: 108.080372 samples/sec accuracy=52.387097 loss=2.039135 lr=0.033959 Epoch[127] Batch [1599]/[1880] Speed: 104.191304 samples/sec accuracy=52.393555 loss=2.038634 lr=0.033936 Epoch[127] Batch [1649]/[1880] Speed: 103.210217 samples/sec accuracy=52.374527 loss=2.038525 lr=0.033913 Epoch[127] Batch [1699]/[1880] Speed: 107.318843 samples/sec accuracy=52.387868 loss=2.038265 lr=0.033890 Epoch[127] Batch [1749]/[1880] Speed: 101.027210 samples/sec accuracy=52.381250 loss=2.038467 lr=0.033867 Epoch[127] Batch [1799]/[1880] Speed: 110.257560 samples/sec accuracy=52.346788 loss=2.040537 lr=0.033844 Epoch[127] Batch [1849]/[1880] Speed: 100.558757 samples/sec accuracy=52.345017 loss=2.040390 lr=0.033821 Batch [0049]/[0151]: acc-top1=48.453125 acc-top5=73.000000 Batch [0099]/[0151]: acc-top1=52.554688 acc-top5=75.578125 Batch [0149]/[0151]: acc-top1=50.796875 acc-top5=74.989583 [Epoch 127] training: accuracy=52.342088 loss=2.040384 [Epoch 127] speed: 104 samples/sec time cost: 2511.682248 [Epoch 127] validation: acc-top1=50.739859 acc-top5=74.948262 loss=2.201691 Epoch[128] Batch [0049]/[1879] Speed: 75.101921 samples/sec accuracy=53.750000 loss=1.986248 lr=0.033784 Epoch[128] Batch [0099]/[1879] Speed: 108.139488 samples/sec accuracy=53.617188 loss=1.993309 lr=0.033761 Epoch[128] Batch [0149]/[1879] Speed: 103.226371 samples/sec accuracy=53.447917 loss=1.997857 lr=0.033738 Epoch[128] Batch [0199]/[1879] Speed: 104.990921 samples/sec accuracy=53.484375 loss=1.992178 lr=0.033715 Epoch[128] Batch [0249]/[1879] Speed: 109.693482 samples/sec accuracy=53.506250 loss=1.996640 lr=0.033692 Epoch[128] Batch [0299]/[1879] Speed: 100.113844 samples/sec accuracy=53.085938 loss=2.010568 lr=0.033669 Epoch[128] Batch [0349]/[1879] Speed: 106.814874 samples/sec accuracy=53.200893 loss=2.007529 lr=0.033646 Epoch[128] Batch [0399]/[1879] Speed: 102.750436 samples/sec accuracy=53.130859 loss=2.010062 lr=0.033623 Epoch[128] Batch 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accuracy=52.684028 loss=2.024034 lr=0.033394 Epoch[128] Batch [0949]/[1879] Speed: 106.522186 samples/sec accuracy=52.644737 loss=2.025017 lr=0.033371 Epoch[128] Batch [0999]/[1879] Speed: 100.825991 samples/sec accuracy=52.631250 loss=2.026508 lr=0.033348 Epoch[128] Batch [1049]/[1879] Speed: 110.474069 samples/sec accuracy=52.575893 loss=2.030087 lr=0.033325 Epoch[128] Batch [1099]/[1879] Speed: 107.888026 samples/sec accuracy=52.582386 loss=2.029887 lr=0.033302 Epoch[128] Batch [1149]/[1879] Speed: 98.857884 samples/sec accuracy=52.578804 loss=2.028910 lr=0.033279 Epoch[128] Batch [1199]/[1879] Speed: 109.421754 samples/sec accuracy=52.557292 loss=2.028877 lr=0.033256 Epoch[128] Batch [1249]/[1879] Speed: 101.601913 samples/sec accuracy=52.526250 loss=2.029990 lr=0.033233 Epoch[128] Batch [1299]/[1879] Speed: 107.746977 samples/sec accuracy=52.517428 loss=2.030362 lr=0.033210 Epoch[128] Batch [1349]/[1879] Speed: 101.223434 samples/sec accuracy=52.506366 loss=2.029935 lr=0.033188 Epoch[128] Batch [1399]/[1879] Speed: 108.102044 samples/sec accuracy=52.526786 loss=2.029477 lr=0.033165 Epoch[128] Batch [1449]/[1879] Speed: 102.637230 samples/sec accuracy=52.514547 loss=2.030482 lr=0.033142 Epoch[128] Batch [1499]/[1879] Speed: 105.486381 samples/sec accuracy=52.510417 loss=2.030027 lr=0.033119 Epoch[128] Batch [1549]/[1879] Speed: 104.471870 samples/sec accuracy=52.530242 loss=2.030051 lr=0.033096 Epoch[128] Batch [1599]/[1879] Speed: 104.940267 samples/sec accuracy=52.503906 loss=2.032018 lr=0.033073 Epoch[128] Batch [1649]/[1879] Speed: 107.784159 samples/sec accuracy=52.512311 loss=2.032731 lr=0.033050 Epoch[128] Batch [1699]/[1879] Speed: 105.749384 samples/sec accuracy=52.467831 loss=2.034922 lr=0.033027 Epoch[128] Batch [1749]/[1879] Speed: 99.638733 samples/sec accuracy=52.473661 loss=2.035325 lr=0.033005 Epoch[128] Batch [1799]/[1879] Speed: 107.881966 samples/sec accuracy=52.454861 loss=2.036173 lr=0.032982 Epoch[128] Batch [1849]/[1879] Speed: 103.836890 samples/sec accuracy=52.462838 loss=2.036022 lr=0.032959 Batch [0049]/[0151]: acc-top1=49.046875 acc-top5=73.750000 Batch [0099]/[0151]: acc-top1=53.062500 acc-top5=76.156250 Batch [0149]/[0151]: acc-top1=51.619792 acc-top5=75.572917 [Epoch 128] training: accuracy=52.455595 loss=2.036267 [Epoch 128] speed: 104 samples/sec time cost: 2509.716719 [Epoch 128] validation: acc-top1=51.557326 acc-top5=75.584644 loss=2.123050 Epoch[129] Batch [0049]/[1880] Speed: 75.793496 samples/sec accuracy=53.468750 loss=1.989647 lr=0.032923 Epoch[129] Batch [0099]/[1880] Speed: 103.603259 samples/sec accuracy=53.031250 loss=2.007860 lr=0.032900 Epoch[129] Batch [0149]/[1880] Speed: 107.794612 samples/sec accuracy=53.406250 loss=1.989537 lr=0.032877 Epoch[129] Batch [0199]/[1880] Speed: 101.401433 samples/sec accuracy=53.304688 loss=1.991255 lr=0.032854 Epoch[129] Batch [0249]/[1880] Speed: 107.115458 samples/sec accuracy=53.093750 loss=1.994162 lr=0.032831 Epoch[129] Batch [0299]/[1880] Speed: 103.027611 samples/sec accuracy=53.080729 loss=1.995541 lr=0.032809 Epoch[129] Batch [0349]/[1880] Speed: 104.367446 samples/sec accuracy=53.122768 loss=1.998721 lr=0.032786 Epoch[129] Batch [0399]/[1880] Speed: 105.730707 samples/sec accuracy=53.039062 loss=2.002687 lr=0.032763 Epoch[129] Batch [0449]/[1880] Speed: 106.648094 samples/sec accuracy=53.093750 loss=2.004062 lr=0.032740 Epoch[129] Batch [0499]/[1880] Speed: 100.661391 samples/sec accuracy=53.070313 loss=2.003820 lr=0.032717 Epoch[129] Batch [0549]/[1880] Speed: 107.287193 samples/sec accuracy=53.103693 loss=2.002072 lr=0.032695 Epoch[129] Batch [0599]/[1880] Speed: 106.240735 samples/sec accuracy=53.098958 loss=2.000934 lr=0.032672 Epoch[129] Batch [0649]/[1880] Speed: 101.547309 samples/sec accuracy=53.037260 loss=2.001735 lr=0.032649 Epoch[129] Batch [0699]/[1880] Speed: 111.041690 samples/sec accuracy=53.066964 loss=2.000558 lr=0.032626 Epoch[129] Batch [0749]/[1880] Speed: 98.676949 samples/sec accuracy=52.965625 loss=2.003731 lr=0.032603 Epoch[129] Batch [0799]/[1880] Speed: 110.198462 samples/sec accuracy=52.999023 loss=2.003852 lr=0.032581 Epoch[129] Batch [0849]/[1880] Speed: 103.311251 samples/sec accuracy=52.991728 loss=2.006574 lr=0.032558 Epoch[129] Batch [0899]/[1880] Speed: 103.447587 samples/sec accuracy=52.924479 loss=2.009354 lr=0.032535 Epoch[129] Batch [0949]/[1880] Speed: 107.490086 samples/sec accuracy=52.929276 loss=2.008952 lr=0.032512 Epoch[129] Batch [0999]/[1880] Speed: 102.753144 samples/sec accuracy=52.939844 loss=2.009235 lr=0.032490 Epoch[129] Batch [1049]/[1880] Speed: 106.984128 samples/sec accuracy=52.927827 loss=2.009926 lr=0.032467 Epoch[129] Batch [1099]/[1880] Speed: 104.060422 samples/sec accuracy=52.942472 loss=2.009367 lr=0.032444 Epoch[129] Batch [1149]/[1880] Speed: 104.247615 samples/sec accuracy=52.929348 loss=2.009579 lr=0.032421 Epoch[129] Batch [1199]/[1880] Speed: 102.782659 samples/sec accuracy=52.914714 loss=2.010075 lr=0.032399 Epoch[129] Batch [1249]/[1880] Speed: 107.086973 samples/sec accuracy=52.910625 loss=2.010346 lr=0.032376 Epoch[129] Batch [1299]/[1880] Speed: 102.753088 samples/sec accuracy=52.876803 loss=2.010004 lr=0.032353 Epoch[129] Batch [1349]/[1880] Speed: 106.978406 samples/sec accuracy=52.855324 loss=2.012407 lr=0.032330 Epoch[129] Batch [1399]/[1880] Speed: 101.299865 samples/sec accuracy=52.780134 loss=2.015780 lr=0.032308 Epoch[129] Batch [1449]/[1880] Speed: 105.888582 samples/sec accuracy=52.792026 loss=2.015982 lr=0.032285 Epoch[129] Batch [1499]/[1880] Speed: 100.284322 samples/sec accuracy=52.760417 loss=2.016442 lr=0.032262 Epoch[129] Batch [1549]/[1880] Speed: 107.611257 samples/sec accuracy=52.774698 loss=2.015894 lr=0.032239 Epoch[129] Batch [1599]/[1880] Speed: 102.775523 samples/sec accuracy=52.770508 loss=2.017339 lr=0.032217 Epoch[129] Batch [1649]/[1880] Speed: 107.417966 samples/sec accuracy=52.730114 loss=2.018122 lr=0.032194 Epoch[129] Batch [1699]/[1880] Speed: 100.023972 samples/sec accuracy=52.737132 loss=2.017979 lr=0.032171 Epoch[129] Batch [1749]/[1880] Speed: 108.541791 samples/sec accuracy=52.725446 loss=2.018364 lr=0.032149 Epoch[129] Batch [1799]/[1880] Speed: 101.086050 samples/sec accuracy=52.739583 loss=2.018159 lr=0.032126 Epoch[129] Batch [1849]/[1880] Speed: 107.184678 samples/sec accuracy=52.736909 loss=2.018698 lr=0.032103 Batch [0049]/[0151]: acc-top1=49.593750 acc-top5=72.890625 Batch [0099]/[0151]: acc-top1=52.867188 acc-top5=75.257812 Batch [0149]/[0151]: acc-top1=51.734375 acc-top5=75.130208 [Epoch 129] training: accuracy=52.715675 loss=2.019630 [Epoch 129] speed: 104 samples/sec time cost: 2512.907691 [Epoch 129] validation: acc-top1=51.655629 acc-top5=75.129346 loss=2.146808 Epoch[130] Batch [0049]/[1880] Speed: 74.438643 samples/sec accuracy=53.984375 loss=1.958451 lr=0.032067 Epoch[130] Batch [0099]/[1880] Speed: 107.632696 samples/sec accuracy=53.929688 loss=1.954392 lr=0.032044 Epoch[130] Batch [0149]/[1880] Speed: 107.471832 samples/sec accuracy=53.921875 loss=1.962225 lr=0.032022 Epoch[130] Batch [0199]/[1880] Speed: 101.897675 samples/sec accuracy=53.722656 loss=1.963616 lr=0.031999 Epoch[130] Batch [0249]/[1880] Speed: 109.652082 samples/sec accuracy=53.793750 loss=1.961855 lr=0.031976 Epoch[130] Batch [0299]/[1880] Speed: 101.379533 samples/sec accuracy=53.864583 loss=1.965567 lr=0.031954 Epoch[130] Batch [0349]/[1880] Speed: 106.844370 samples/sec accuracy=53.799107 loss=1.970392 lr=0.031931 Epoch[130] Batch [0399]/[1880] Speed: 102.349087 samples/sec accuracy=53.673828 loss=1.976284 lr=0.031908 Epoch[130] Batch [0449]/[1880] Speed: 105.594933 samples/sec accuracy=53.543403 loss=1.981952 lr=0.031886 Epoch[130] Batch [0499]/[1880] Speed: 102.523623 samples/sec accuracy=53.629688 loss=1.980110 lr=0.031863 Epoch[130] Batch [0549]/[1880] Speed: 106.578852 samples/sec accuracy=53.617898 loss=1.979790 lr=0.031840 Epoch[130] Batch [0599]/[1880] Speed: 103.387235 samples/sec accuracy=53.502604 loss=1.982441 lr=0.031818 Epoch[130] Batch [0649]/[1880] Speed: 107.016542 samples/sec accuracy=53.491587 loss=1.983076 lr=0.031795 Epoch[130] Batch [0699]/[1880] Speed: 101.386292 samples/sec accuracy=53.431920 loss=1.987323 lr=0.031772 Epoch[130] Batch [0749]/[1880] Speed: 107.257716 samples/sec accuracy=53.454167 loss=1.986343 lr=0.031750 Epoch[130] Batch [0799]/[1880] Speed: 110.172963 samples/sec accuracy=53.398437 loss=1.989267 lr=0.031727 Epoch[130] Batch [0849]/[1880] Speed: 100.988107 samples/sec accuracy=53.358456 loss=1.990300 lr=0.031705 Epoch[130] Batch [0899]/[1880] Speed: 106.429939 samples/sec accuracy=53.354167 loss=1.990276 lr=0.031682 Epoch[130] Batch [0949]/[1880] Speed: 102.633513 samples/sec accuracy=53.385691 loss=1.988616 lr=0.031659 Epoch[130] Batch [0999]/[1880] Speed: 106.063725 samples/sec accuracy=53.322656 loss=1.990254 lr=0.031637 Epoch[130] Batch [1049]/[1880] Speed: 100.941517 samples/sec accuracy=53.281250 loss=1.992110 lr=0.031614 Epoch[130] Batch [1099]/[1880] Speed: 107.999450 samples/sec accuracy=53.250710 loss=1.993317 lr=0.031591 Epoch[130] Batch [1149]/[1880] Speed: 102.371385 samples/sec accuracy=53.250000 loss=1.994299 lr=0.031569 Epoch[130] Batch [1199]/[1880] Speed: 104.307294 samples/sec accuracy=53.254557 loss=1.994770 lr=0.031546 Epoch[130] Batch [1249]/[1880] Speed: 109.485733 samples/sec accuracy=53.256250 loss=1.996648 lr=0.031524 Epoch[130] Batch [1299]/[1880] Speed: 97.796574 samples/sec accuracy=53.235577 loss=1.996777 lr=0.031501 Epoch[130] Batch [1349]/[1880] Speed: 108.840898 samples/sec accuracy=53.212963 loss=1.998024 lr=0.031479 Epoch[130] Batch [1399]/[1880] Speed: 102.432551 samples/sec accuracy=53.214844 loss=1.998231 lr=0.031456 Epoch[130] Batch [1449]/[1880] Speed: 106.765942 samples/sec accuracy=53.175108 loss=1.999845 lr=0.031433 Epoch[130] Batch [1499]/[1880] Speed: 98.975503 samples/sec accuracy=53.180208 loss=2.000041 lr=0.031411 Epoch[130] Batch [1549]/[1880] Speed: 104.387358 samples/sec accuracy=53.148185 loss=2.001277 lr=0.031388 Epoch[130] Batch [1599]/[1880] Speed: 111.732071 samples/sec accuracy=53.115234 loss=2.001318 lr=0.031366 Epoch[130] Batch [1649]/[1880] Speed: 97.313082 samples/sec accuracy=53.073864 loss=2.003497 lr=0.031343 Epoch[130] Batch [1699]/[1880] Speed: 109.856995 samples/sec accuracy=53.066176 loss=2.003204 lr=0.031321 Epoch[130] Batch [1749]/[1880] Speed: 99.364846 samples/sec accuracy=53.078125 loss=2.002859 lr=0.031298 Epoch[130] Batch [1799]/[1880] Speed: 105.695970 samples/sec accuracy=53.101997 loss=2.002166 lr=0.031276 Epoch[130] Batch [1849]/[1880] Speed: 102.600508 samples/sec accuracy=53.112753 loss=2.003659 lr=0.031253 Batch [0049]/[0151]: acc-top1=49.859375 acc-top5=74.921875 Batch [0099]/[0151]: acc-top1=54.179687 acc-top5=76.882812 Batch [0149]/[0151]: acc-top1=52.750000 acc-top5=76.369792 [Epoch 130] training: accuracy=53.095911 loss=2.004242 [Epoch 130] speed: 103 samples/sec time cost: 2517.210569 [Epoch 130] validation: acc-top1=52.607616 acc-top5=76.298634 loss=2.090769 Epoch[131] Batch [0049]/[1880] Speed: 75.013979 samples/sec accuracy=54.265625 loss=1.950057 lr=0.031217 Epoch[131] Batch [0099]/[1880] Speed: 104.207103 samples/sec accuracy=53.968750 loss=1.960578 lr=0.031194 Epoch[131] Batch [0149]/[1880] Speed: 104.857804 samples/sec accuracy=54.052083 loss=1.944399 lr=0.031172 Epoch[131] Batch [0199]/[1880] Speed: 104.733647 samples/sec accuracy=53.785156 loss=1.961337 lr=0.031149 Epoch[131] Batch [0249]/[1880] Speed: 103.900297 samples/sec accuracy=53.987500 loss=1.958765 lr=0.031127 Epoch[131] Batch [0299]/[1880] Speed: 107.689324 samples/sec accuracy=53.841146 loss=1.964222 lr=0.031104 Epoch[131] Batch [0349]/[1880] Speed: 104.370054 samples/sec accuracy=53.995536 loss=1.955729 lr=0.031082 Epoch[131] Batch [0399]/[1880] Speed: 104.120271 samples/sec accuracy=53.939453 loss=1.959052 lr=0.031059 Epoch[131] Batch [0449]/[1880] Speed: 104.069599 samples/sec accuracy=53.954861 loss=1.959198 lr=0.031037 Epoch[131] Batch [0499]/[1880] Speed: 107.078765 samples/sec accuracy=53.885938 loss=1.963666 lr=0.031015 Epoch[131] Batch [0549]/[1880] Speed: 99.804935 samples/sec accuracy=53.856534 loss=1.966710 lr=0.030992 Epoch[131] Batch [0599]/[1880] Speed: 110.294557 samples/sec accuracy=53.811198 loss=1.968793 lr=0.030970 Epoch[131] Batch [0649]/[1880] Speed: 101.256852 samples/sec accuracy=53.799279 loss=1.968386 lr=0.030947 Epoch[131] Batch [0699]/[1880] Speed: 111.034045 samples/sec accuracy=53.828125 loss=1.967386 lr=0.030925 Epoch[131] Batch [0749]/[1880] Speed: 97.855722 samples/sec accuracy=53.757292 loss=1.970069 lr=0.030902 Epoch[131] Batch [0799]/[1880] Speed: 110.641067 samples/sec accuracy=53.671875 loss=1.973910 lr=0.030880 Epoch[131] Batch [0849]/[1880] Speed: 99.835613 samples/sec accuracy=53.647978 loss=1.975206 lr=0.030857 Epoch[131] Batch [0899]/[1880] Speed: 109.148082 samples/sec accuracy=53.590278 loss=1.977009 lr=0.030835 Epoch[131] Batch [0949]/[1880] Speed: 96.874938 samples/sec accuracy=53.592928 loss=1.976078 lr=0.030812 Epoch[131] Batch [0999]/[1880] Speed: 111.127937 samples/sec accuracy=53.591406 loss=1.976486 lr=0.030790 Epoch[131] Batch [1049]/[1880] Speed: 105.071866 samples/sec accuracy=53.554315 loss=1.979613 lr=0.030767 Epoch[131] Batch [1099]/[1880] Speed: 102.796536 samples/sec accuracy=53.546165 loss=1.979279 lr=0.030745 Epoch[131] Batch [1149]/[1880] Speed: 105.120827 samples/sec accuracy=53.518342 loss=1.980233 lr=0.030723 Epoch[131] Batch [1199]/[1880] Speed: 103.955053 samples/sec accuracy=53.496745 loss=1.981672 lr=0.030700 Epoch[131] Batch [1249]/[1880] Speed: 108.931589 samples/sec accuracy=53.487500 loss=1.982667 lr=0.030678 Epoch[131] Batch [1299]/[1880] Speed: 98.103437 samples/sec accuracy=53.432692 loss=1.985025 lr=0.030655 Epoch[131] Batch [1349]/[1880] Speed: 110.095762 samples/sec accuracy=53.429977 loss=1.986431 lr=0.030633 Epoch[131] Batch [1399]/[1880] Speed: 106.549643 samples/sec accuracy=53.452567 loss=1.985203 lr=0.030611 Epoch[131] Batch [1449]/[1880] Speed: 100.474439 samples/sec accuracy=53.478448 loss=1.983914 lr=0.030588 Epoch[131] Batch [1499]/[1880] Speed: 107.766522 samples/sec accuracy=53.446354 loss=1.986396 lr=0.030566 Epoch[131] Batch [1549]/[1880] Speed: 106.657849 samples/sec accuracy=53.438508 loss=1.987075 lr=0.030543 Epoch[131] Batch [1599]/[1880] Speed: 102.850656 samples/sec accuracy=53.445312 loss=1.986953 lr=0.030521 Epoch[131] Batch [1649]/[1880] Speed: 106.528369 samples/sec accuracy=53.445076 loss=1.986488 lr=0.030499 Epoch[131] Batch [1699]/[1880] Speed: 99.497747 samples/sec accuracy=53.434283 loss=1.987150 lr=0.030476 Epoch[131] Batch [1749]/[1880] Speed: 106.951564 samples/sec accuracy=53.423661 loss=1.987578 lr=0.030454 Epoch[131] Batch [1799]/[1880] Speed: 104.911021 samples/sec accuracy=53.416233 loss=1.988524 lr=0.030432 Epoch[131] Batch [1849]/[1880] Speed: 106.635028 samples/sec accuracy=53.421875 loss=1.988512 lr=0.030409 Batch [0049]/[0151]: acc-top1=50.875000 acc-top5=75.406250 Batch [0099]/[0151]: acc-top1=53.742188 acc-top5=76.867188 Batch [0149]/[0151]: acc-top1=52.145833 acc-top5=76.416667 [Epoch 131] training: accuracy=53.412151 loss=1.989495 [Epoch 131] speed: 104 samples/sec time cost: 2511.133276 [Epoch 131] validation: acc-top1=52.079884 acc-top5=76.386589 loss=2.093395 Epoch[132] Batch [0049]/[1880] Speed: 74.175671 samples/sec accuracy=56.531250 loss=1.874687 lr=0.030373 Epoch[132] Batch [0099]/[1880] Speed: 108.203627 samples/sec accuracy=55.398438 loss=1.910825 lr=0.030351 Epoch[132] Batch [0149]/[1880] Speed: 103.314111 samples/sec accuracy=55.421875 loss=1.902014 lr=0.030329 Epoch[132] Batch [0199]/[1880] Speed: 102.026276 samples/sec accuracy=54.941406 loss=1.914206 lr=0.030306 Epoch[132] Batch [0249]/[1880] Speed: 112.472706 samples/sec accuracy=54.778125 loss=1.920645 lr=0.030284 Epoch[132] Batch [0299]/[1880] Speed: 103.336889 samples/sec accuracy=54.669271 loss=1.925824 lr=0.030262 Epoch[132] Batch [0349]/[1880] Speed: 105.632695 samples/sec accuracy=54.383929 loss=1.939499 lr=0.030239 Epoch[132] Batch [0399]/[1880] Speed: 100.767996 samples/sec accuracy=54.298828 loss=1.943603 lr=0.030217 Epoch[132] Batch [0449]/[1880] Speed: 109.305354 samples/sec accuracy=54.446181 loss=1.936720 lr=0.030195 Epoch[132] Batch [0499]/[1880] Speed: 99.500953 samples/sec accuracy=54.370312 loss=1.941554 lr=0.030172 Epoch[132] Batch [0549]/[1880] Speed: 106.225327 samples/sec accuracy=54.272727 loss=1.941089 lr=0.030150 Epoch[132] Batch [0599]/[1880] Speed: 109.145321 samples/sec accuracy=54.257812 loss=1.941827 lr=0.030128 Epoch[132] Batch [0649]/[1880] Speed: 99.780881 samples/sec accuracy=54.109375 loss=1.949170 lr=0.030106 Epoch[132] Batch [0699]/[1880] Speed: 108.395921 samples/sec accuracy=54.059152 loss=1.951719 lr=0.030083 Epoch[132] Batch [0749]/[1880] Speed: 98.852803 samples/sec accuracy=53.976042 loss=1.955669 lr=0.030061 Epoch[132] Batch [0799]/[1880] Speed: 112.347827 samples/sec accuracy=53.968750 loss=1.956252 lr=0.030039 Epoch[132] Batch [0849]/[1880] Speed: 105.009458 samples/sec accuracy=53.955882 loss=1.956815 lr=0.030016 Epoch[132] Batch [0899]/[1880] Speed: 102.366824 samples/sec accuracy=53.914931 loss=1.959690 lr=0.029994 Epoch[132] Batch [0949]/[1880] Speed: 106.340658 samples/sec accuracy=53.858553 loss=1.961737 lr=0.029972 Epoch[132] Batch [0999]/[1880] Speed: 101.896379 samples/sec accuracy=53.802344 loss=1.963515 lr=0.029950 Epoch[132] Batch [1049]/[1880] Speed: 107.899202 samples/sec accuracy=53.752976 loss=1.965148 lr=0.029927 Epoch[132] Batch [1099]/[1880] Speed: 106.527785 samples/sec accuracy=53.737216 loss=1.965538 lr=0.029905 Epoch[132] Batch [1149]/[1880] Speed: 103.128256 samples/sec accuracy=53.712636 loss=1.967196 lr=0.029883 Epoch[132] Batch [1199]/[1880] Speed: 108.940070 samples/sec accuracy=53.699219 loss=1.967376 lr=0.029861 Epoch[132] Batch [1249]/[1880] Speed: 102.299017 samples/sec accuracy=53.683125 loss=1.967155 lr=0.029838 Epoch[132] Batch [1299]/[1880] Speed: 105.992025 samples/sec accuracy=53.672476 loss=1.967244 lr=0.029816 Epoch[132] Batch [1349]/[1880] Speed: 104.976611 samples/sec accuracy=53.623843 loss=1.970235 lr=0.029794 Epoch[132] Batch [1399]/[1880] Speed: 101.303258 samples/sec accuracy=53.635603 loss=1.970034 lr=0.029772 Epoch[132] Batch [1449]/[1880] Speed: 108.999234 samples/sec accuracy=53.632543 loss=1.971269 lr=0.029749 Epoch[132] Batch [1499]/[1880] Speed: 103.203109 samples/sec accuracy=53.622396 loss=1.972593 lr=0.029727 Epoch[132] Batch [1549]/[1880] Speed: 106.960379 samples/sec accuracy=53.599798 loss=1.973597 lr=0.029705 Epoch[132] Batch [1599]/[1880] Speed: 102.852640 samples/sec accuracy=53.583496 loss=1.975523 lr=0.029683 Epoch[132] Batch [1649]/[1880] Speed: 104.413301 samples/sec accuracy=53.563920 loss=1.976511 lr=0.029661 Epoch[132] Batch [1699]/[1880] Speed: 108.737349 samples/sec accuracy=53.552390 loss=1.977045 lr=0.029638 Epoch[132] Batch [1749]/[1880] Speed: 98.862338 samples/sec accuracy=53.561607 loss=1.976505 lr=0.029616 Epoch[132] Batch [1799]/[1880] Speed: 108.503049 samples/sec accuracy=53.552083 loss=1.977470 lr=0.029594 Epoch[132] Batch [1849]/[1880] Speed: 100.999962 samples/sec accuracy=53.554476 loss=1.977973 lr=0.029572 Batch [0049]/[0151]: acc-top1=49.359375 acc-top5=73.859375 Batch [0099]/[0151]: acc-top1=53.718750 acc-top5=76.203125 Batch [0149]/[0151]: acc-top1=52.552083 acc-top5=76.083333 [Epoch 132] training: accuracy=53.557596 loss=1.978321 [Epoch 132] speed: 104 samples/sec time cost: 2508.909215 [Epoch 132] validation: acc-top1=52.483444 acc-top5=76.055464 loss=2.100603 Epoch[133] Batch [0049]/[1879] Speed: 75.163379 samples/sec accuracy=53.843750 loss=1.942339 lr=0.029536 Epoch[133] Batch [0099]/[1879] Speed: 107.935614 samples/sec accuracy=54.421875 loss=1.941484 lr=0.029514 Epoch[133] Batch [0149]/[1879] Speed: 98.684473 samples/sec accuracy=54.484375 loss=1.933829 lr=0.029492 Epoch[133] Batch [0199]/[1879] Speed: 109.356839 samples/sec accuracy=54.472656 loss=1.930213 lr=0.029470 Epoch[133] Batch [0249]/[1879] Speed: 105.653628 samples/sec accuracy=54.509375 loss=1.925704 lr=0.029448 Epoch[133] Batch [0299]/[1879] Speed: 101.800937 samples/sec accuracy=54.447917 loss=1.929998 lr=0.029425 Epoch[133] Batch [0349]/[1879] Speed: 109.537510 samples/sec accuracy=54.381696 loss=1.933359 lr=0.029403 Epoch[133] Batch [0399]/[1879] Speed: 99.675953 samples/sec accuracy=54.371094 loss=1.938478 lr=0.029381 Epoch[133] Batch [0449]/[1879] Speed: 106.908413 samples/sec accuracy=54.383681 loss=1.935158 lr=0.029359 Epoch[133] Batch [0499]/[1879] Speed: 101.248576 samples/sec accuracy=54.373438 loss=1.935668 lr=0.029337 Epoch[133] Batch [0549]/[1879] Speed: 106.434089 samples/sec accuracy=54.393466 loss=1.934950 lr=0.029315 Epoch[133] Batch [0599]/[1879] Speed: 104.964382 samples/sec accuracy=54.334635 loss=1.938006 lr=0.029293 Epoch[133] Batch [0649]/[1879] Speed: 99.584126 samples/sec accuracy=54.302885 loss=1.940089 lr=0.029271 Epoch[133] Batch [0699]/[1879] Speed: 107.393261 samples/sec accuracy=54.236607 loss=1.942652 lr=0.029248 Epoch[133] Batch [0749]/[1879] Speed: 100.230751 samples/sec accuracy=54.146875 loss=1.945677 lr=0.029226 Epoch[133] Batch [0799]/[1879] Speed: 110.346706 samples/sec accuracy=54.085938 loss=1.948032 lr=0.029204 Epoch[133] Batch [0849]/[1879] Speed: 98.941457 samples/sec accuracy=54.067096 loss=1.949832 lr=0.029182 Epoch[133] Batch [0899]/[1879] Speed: 104.400629 samples/sec accuracy=54.079861 loss=1.950050 lr=0.029160 Epoch[133] Batch [0949]/[1879] Speed: 101.778649 samples/sec accuracy=54.060855 loss=1.951521 lr=0.029138 Epoch[133] Batch [0999]/[1879] Speed: 106.308554 samples/sec accuracy=54.067969 loss=1.951085 lr=0.029116 Epoch[133] Batch [1049]/[1879] Speed: 100.952275 samples/sec accuracy=54.084077 loss=1.949503 lr=0.029094 Epoch[133] Batch [1099]/[1879] Speed: 107.508714 samples/sec accuracy=54.081676 loss=1.950342 lr=0.029072 Epoch[133] Batch [1149]/[1879] Speed: 98.907185 samples/sec accuracy=54.066576 loss=1.950650 lr=0.029050 Epoch[133] Batch [1199]/[1879] Speed: 104.633511 samples/sec accuracy=54.050130 loss=1.951590 lr=0.029028 Epoch[133] Batch [1249]/[1879] Speed: 107.899537 samples/sec accuracy=54.033750 loss=1.952344 lr=0.029006 Epoch[133] Batch [1299]/[1879] Speed: 99.613337 samples/sec accuracy=54.034255 loss=1.952538 lr=0.028983 Epoch[133] Batch [1349]/[1879] Speed: 105.136447 samples/sec accuracy=54.012153 loss=1.953200 lr=0.028961 Epoch[133] Batch [1399]/[1879] Speed: 100.735281 samples/sec accuracy=53.985491 loss=1.955022 lr=0.028939 Epoch[133] Batch [1449]/[1879] Speed: 104.788719 samples/sec accuracy=53.960668 loss=1.956794 lr=0.028917 Epoch[133] Batch [1499]/[1879] Speed: 100.002468 samples/sec accuracy=53.897396 loss=1.958400 lr=0.028895 Epoch[133] Batch [1549]/[1879] Speed: 111.157254 samples/sec accuracy=53.907258 loss=1.959197 lr=0.028873 Epoch[133] Batch [1599]/[1879] Speed: 103.051387 samples/sec accuracy=53.885742 loss=1.959437 lr=0.028851 Epoch[133] Batch [1649]/[1879] Speed: 100.228764 samples/sec accuracy=53.863636 loss=1.961223 lr=0.028829 Epoch[133] Batch [1699]/[1879] Speed: 108.521155 samples/sec accuracy=53.868107 loss=1.961519 lr=0.028807 Epoch[133] Batch [1749]/[1879] Speed: 98.393696 samples/sec accuracy=53.862054 loss=1.962257 lr=0.028785 Epoch[133] Batch [1799]/[1879] Speed: 105.263598 samples/sec accuracy=53.832465 loss=1.962839 lr=0.028763 Epoch[133] Batch [1849]/[1879] Speed: 104.220873 samples/sec accuracy=53.829814 loss=1.963223 lr=0.028741 Batch [0049]/[0151]: acc-top1=51.187500 acc-top5=75.593750 Batch [0099]/[0151]: acc-top1=55.234375 acc-top5=77.507812 Batch [0149]/[0151]: acc-top1=53.348958 acc-top5=76.671875 [Epoch 133] training: accuracy=53.814778 loss=1.964083 [Epoch 133] speed: 103 samples/sec time cost: 2529.844747 [Epoch 133] validation: acc-top1=53.223303 acc-top5=76.609065 loss=2.075047 Epoch[134] Batch [0049]/[1880] Speed: 75.087744 samples/sec accuracy=55.015625 loss=1.897860 lr=0.028706 Epoch[134] Batch [0099]/[1880] Speed: 106.882817 samples/sec accuracy=55.132812 loss=1.893057 lr=0.028685 Epoch[134] Batch [0149]/[1880] Speed: 108.567087 samples/sec accuracy=54.666667 loss=1.915102 lr=0.028663 Epoch[134] Batch [0199]/[1880] Speed: 98.513694 samples/sec accuracy=54.738281 loss=1.909525 lr=0.028641 Epoch[134] Batch [0249]/[1880] Speed: 107.090915 samples/sec accuracy=54.753125 loss=1.909236 lr=0.028619 Epoch[134] Batch [0299]/[1880] Speed: 102.612234 samples/sec accuracy=54.671875 loss=1.917376 lr=0.028597 Epoch[134] Batch [0349]/[1880] Speed: 107.914276 samples/sec accuracy=54.694196 loss=1.916600 lr=0.028575 Epoch[134] Batch [0399]/[1880] Speed: 102.469714 samples/sec accuracy=54.769531 loss=1.914732 lr=0.028553 Epoch[134] Batch [0449]/[1880] Speed: 106.686062 samples/sec accuracy=54.748264 loss=1.919180 lr=0.028531 Epoch[134] Batch [0499]/[1880] Speed: 100.845014 samples/sec accuracy=54.820312 loss=1.918448 lr=0.028509 Epoch[134] Batch [0549]/[1880] Speed: 105.289021 samples/sec accuracy=54.795455 loss=1.919618 lr=0.028487 Epoch[134] Batch [0599]/[1880] Speed: 107.591547 samples/sec accuracy=54.687500 loss=1.923841 lr=0.028465 Epoch[134] Batch [0649]/[1880] Speed: 104.733291 samples/sec accuracy=54.689904 loss=1.923504 lr=0.028443 Epoch[134] Batch [0699]/[1880] Speed: 104.989982 samples/sec accuracy=54.754464 loss=1.922090 lr=0.028421 Epoch[134] Batch [0749]/[1880] Speed: 104.869604 samples/sec accuracy=54.695833 loss=1.924310 lr=0.028399 Epoch[134] Batch [0799]/[1880] Speed: 102.737164 samples/sec accuracy=54.691406 loss=1.925122 lr=0.028377 Epoch[134] Batch [0849]/[1880] Speed: 108.274527 samples/sec accuracy=54.721507 loss=1.926152 lr=0.028355 Epoch[134] Batch [0899]/[1880] Speed: 105.436721 samples/sec accuracy=54.657986 loss=1.929501 lr=0.028333 Epoch[134] Batch [0949]/[1880] Speed: 100.705061 samples/sec accuracy=54.623355 loss=1.931711 lr=0.028312 Epoch[134] Batch [0999]/[1880] Speed: 108.750952 samples/sec accuracy=54.589062 loss=1.934498 lr=0.028290 Epoch[134] Batch [1049]/[1880] Speed: 99.777198 samples/sec accuracy=54.549851 loss=1.936968 lr=0.028268 Epoch[134] Batch [1099]/[1880] Speed: 108.607411 samples/sec accuracy=54.561080 loss=1.937943 lr=0.028246 Epoch[134] Batch [1149]/[1880] Speed: 104.638445 samples/sec accuracy=54.531929 loss=1.939578 lr=0.028224 Epoch[134] Batch [1199]/[1880] Speed: 102.337208 samples/sec accuracy=54.488932 loss=1.942141 lr=0.028202 Epoch[134] Batch [1249]/[1880] Speed: 109.904830 samples/sec accuracy=54.450000 loss=1.944238 lr=0.028180 Epoch[134] Batch [1299]/[1880] Speed: 100.947873 samples/sec accuracy=54.436298 loss=1.945737 lr=0.028158 Epoch[134] Batch [1349]/[1880] Speed: 105.089269 samples/sec accuracy=54.432292 loss=1.945324 lr=0.028137 Epoch[134] Batch [1399]/[1880] Speed: 106.035959 samples/sec accuracy=54.417969 loss=1.945046 lr=0.028115 Epoch[134] Batch [1449]/[1880] Speed: 101.297512 samples/sec accuracy=54.394935 loss=1.945854 lr=0.028093 Epoch[134] Batch [1499]/[1880] Speed: 110.673737 samples/sec accuracy=54.386979 loss=1.946748 lr=0.028071 Epoch[134] Batch [1549]/[1880] Speed: 101.077603 samples/sec accuracy=54.383569 loss=1.946576 lr=0.028049 Epoch[134] Batch [1599]/[1880] Speed: 106.421022 samples/sec accuracy=54.375977 loss=1.945993 lr=0.028027 Epoch[134] Batch [1649]/[1880] Speed: 105.269347 samples/sec accuracy=54.349432 loss=1.946924 lr=0.028005 Epoch[134] Batch [1699]/[1880] Speed: 101.663482 samples/sec accuracy=54.338695 loss=1.947409 lr=0.027984 Epoch[134] Batch [1749]/[1880] Speed: 107.853079 samples/sec accuracy=54.323661 loss=1.948197 lr=0.027962 Epoch[134] Batch [1799]/[1880] Speed: 103.710465 samples/sec accuracy=54.279948 loss=1.950095 lr=0.027940 Epoch[134] Batch [1849]/[1880] Speed: 106.608962 samples/sec accuracy=54.233108 loss=1.952418 lr=0.027918 Batch [0049]/[0151]: acc-top1=50.187500 acc-top5=74.968750 Batch [0099]/[0151]: acc-top1=54.054688 acc-top5=77.109375 Batch [0149]/[0151]: acc-top1=52.885417 acc-top5=76.598958 [Epoch 134] training: accuracy=54.214594 loss=1.952694 [Epoch 134] speed: 104 samples/sec time cost: 2509.678758 [Epoch 134] validation: acc-top1=52.757657 acc-top5=76.531457 loss=2.076347 Epoch[135] Batch [0049]/[1880] Speed: 73.389707 samples/sec accuracy=55.906250 loss=1.885178 lr=0.027883 Epoch[135] Batch [0099]/[1880] Speed: 106.490479 samples/sec accuracy=55.328125 loss=1.901574 lr=0.027862 Epoch[135] Batch [0149]/[1880] Speed: 105.989390 samples/sec accuracy=55.088542 loss=1.905365 lr=0.027840 Epoch[135] Batch [0199]/[1880] Speed: 101.596531 samples/sec accuracy=55.031250 loss=1.910508 lr=0.027818 Epoch[135] Batch [0249]/[1880] Speed: 110.488745 samples/sec accuracy=54.771875 loss=1.920044 lr=0.027796 Epoch[135] Batch [0299]/[1880] Speed: 101.733982 samples/sec accuracy=54.750000 loss=1.920219 lr=0.027774 Epoch[135] Batch [0349]/[1880] Speed: 109.510216 samples/sec accuracy=54.832589 loss=1.917174 lr=0.027753 Epoch[135] Batch [0399]/[1880] Speed: 96.607428 samples/sec accuracy=54.732422 loss=1.920062 lr=0.027731 Epoch[135] Batch [0449]/[1880] Speed: 110.710270 samples/sec accuracy=54.633681 loss=1.921485 lr=0.027709 Epoch[135] Batch [0499]/[1880] Speed: 103.736779 samples/sec accuracy=54.612500 loss=1.925503 lr=0.027687 Epoch[135] Batch [0549]/[1880] Speed: 102.792515 samples/sec accuracy=54.599432 loss=1.927251 lr=0.027666 Epoch[135] Batch [0599]/[1880] Speed: 108.338140 samples/sec accuracy=54.627604 loss=1.928025 lr=0.027644 Epoch[135] Batch [0649]/[1880] Speed: 100.749660 samples/sec accuracy=54.646635 loss=1.926796 lr=0.027622 Epoch[135] Batch [0699]/[1880] Speed: 107.636937 samples/sec accuracy=54.598214 loss=1.928918 lr=0.027600 Epoch[135] Batch [0749]/[1880] Speed: 101.008785 samples/sec accuracy=54.626042 loss=1.928672 lr=0.027579 Epoch[135] Batch [0799]/[1880] Speed: 108.075836 samples/sec accuracy=54.602539 loss=1.927179 lr=0.027557 Epoch[135] Batch [0849]/[1880] Speed: 106.529225 samples/sec accuracy=54.617647 loss=1.927056 lr=0.027535 Epoch[135] Batch [0899]/[1880] Speed: 102.831012 samples/sec accuracy=54.641493 loss=1.926583 lr=0.027514 Epoch[135] Batch [0949]/[1880] Speed: 102.994075 samples/sec accuracy=54.675164 loss=1.926066 lr=0.027492 Epoch[135] Batch [0999]/[1880] Speed: 108.311292 samples/sec accuracy=54.707031 loss=1.924871 lr=0.027470 Epoch[135] Batch [1049]/[1880] Speed: 101.716010 samples/sec accuracy=54.697173 loss=1.925879 lr=0.027449 Epoch[135] Batch [1099]/[1880] Speed: 106.585376 samples/sec accuracy=54.691761 loss=1.926449 lr=0.027427 Epoch[135] Batch [1149]/[1880] Speed: 99.398524 samples/sec accuracy=54.697690 loss=1.925218 lr=0.027405 Epoch[135] Batch [1199]/[1880] Speed: 107.792345 samples/sec accuracy=54.684245 loss=1.925765 lr=0.027383 Epoch[135] Batch [1249]/[1880] Speed: 101.031411 samples/sec accuracy=54.651250 loss=1.926774 lr=0.027362 Epoch[135] Batch [1299]/[1880] Speed: 106.680891 samples/sec accuracy=54.701923 loss=1.924826 lr=0.027340 Epoch[135] Batch [1349]/[1880] Speed: 107.148640 samples/sec accuracy=54.662037 loss=1.926670 lr=0.027318 Epoch[135] Batch [1399]/[1880] Speed: 103.302781 samples/sec accuracy=54.662388 loss=1.927130 lr=0.027297 Epoch[135] Batch [1449]/[1880] Speed: 107.840215 samples/sec accuracy=54.642780 loss=1.929129 lr=0.027275 Epoch[135] Batch [1499]/[1880] Speed: 98.200498 samples/sec accuracy=54.634896 loss=1.929503 lr=0.027254 Epoch[135] Batch [1549]/[1880] Speed: 108.944807 samples/sec accuracy=54.619960 loss=1.930566 lr=0.027232 Epoch[135] Batch [1599]/[1880] Speed: 103.012284 samples/sec accuracy=54.578613 loss=1.931714 lr=0.027210 Epoch[135] Batch [1649]/[1880] Speed: 106.607267 samples/sec accuracy=54.580492 loss=1.931856 lr=0.027189 Epoch[135] Batch [1699]/[1880] Speed: 110.220956 samples/sec accuracy=54.549632 loss=1.933278 lr=0.027167 Epoch[135] Batch [1749]/[1880] Speed: 102.011687 samples/sec accuracy=54.533036 loss=1.934364 lr=0.027145 Epoch[135] Batch [1799]/[1880] Speed: 103.230267 samples/sec accuracy=54.513889 loss=1.935225 lr=0.027124 Epoch[135] Batch [1849]/[1880] Speed: 109.295070 samples/sec accuracy=54.497044 loss=1.936273 lr=0.027102 Batch [0049]/[0151]: acc-top1=50.015625 acc-top5=74.890625 Batch [0099]/[0151]: acc-top1=53.843750 acc-top5=76.757812 Batch [0149]/[0151]: acc-top1=52.317708 acc-top5=76.354167 [Epoch 135] training: accuracy=54.460605 loss=1.937597 [Epoch 135] speed: 104 samples/sec time cost: 2513.963555 [Epoch 135] validation: acc-top1=52.198882 acc-top5=76.334851 loss=2.088509 Epoch[136] Batch [0049]/[1880] Speed: 75.204891 samples/sec accuracy=54.531250 loss=1.906395 lr=0.027068 Epoch[136] Batch [0099]/[1880] Speed: 107.355078 samples/sec accuracy=55.375000 loss=1.888895 lr=0.027046 Epoch[136] Batch [0149]/[1880] Speed: 102.113165 samples/sec accuracy=55.218750 loss=1.894563 lr=0.027024 Epoch[136] Batch [0199]/[1880] Speed: 104.017850 samples/sec accuracy=55.015625 loss=1.899402 lr=0.027003 Epoch[136] Batch [0249]/[1880] Speed: 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loss=1.911664 lr=0.026787 Epoch[136] Batch [0749]/[1880] Speed: 105.563555 samples/sec accuracy=54.841667 loss=1.911086 lr=0.026766 Epoch[136] Batch [0799]/[1880] Speed: 101.602758 samples/sec accuracy=54.870117 loss=1.910642 lr=0.026744 Epoch[136] Batch [0849]/[1880] Speed: 108.025874 samples/sec accuracy=54.899816 loss=1.911197 lr=0.026723 Epoch[136] Batch [0899]/[1880] Speed: 101.313858 samples/sec accuracy=54.921875 loss=1.909605 lr=0.026701 Epoch[136] Batch [0949]/[1880] Speed: 108.154592 samples/sec accuracy=54.860197 loss=1.911880 lr=0.026680 Epoch[136] Batch [0999]/[1880] Speed: 97.948063 samples/sec accuracy=54.869531 loss=1.913147 lr=0.026658 Epoch[136] Batch [1049]/[1880] Speed: 110.349837 samples/sec accuracy=54.869792 loss=1.914245 lr=0.026637 Epoch[136] Batch [1099]/[1880] Speed: 106.582861 samples/sec accuracy=54.849432 loss=1.914774 lr=0.026615 Epoch[136] Batch [1149]/[1880] Speed: 102.540693 samples/sec accuracy=54.871603 loss=1.914479 lr=0.026594 Epoch[136] Batch 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accuracy=54.686553 loss=1.923957 lr=0.026379 Epoch[136] Batch [1699]/[1880] Speed: 103.554370 samples/sec accuracy=54.680147 loss=1.923691 lr=0.026358 Epoch[136] Batch [1749]/[1880] Speed: 104.591989 samples/sec accuracy=54.660714 loss=1.924477 lr=0.026337 Epoch[136] Batch [1799]/[1880] Speed: 103.309307 samples/sec accuracy=54.636719 loss=1.926137 lr=0.026315 Epoch[136] Batch [1849]/[1880] Speed: 103.954809 samples/sec accuracy=54.648226 loss=1.926888 lr=0.026294 Batch [0049]/[0151]: acc-top1=50.703125 acc-top5=74.531250 Batch [0099]/[0151]: acc-top1=54.437500 acc-top5=77.023438 Batch [0149]/[0151]: acc-top1=52.932292 acc-top5=76.572917 [Epoch 136] training: accuracy=54.650100 loss=1.927625 [Epoch 136] speed: 104 samples/sec time cost: 2511.540570 [Epoch 136] validation: acc-top1=52.897351 acc-top5=76.603891 loss=2.093625 Epoch[137] Batch [0049]/[1880] Speed: 73.564860 samples/sec accuracy=55.515625 loss=1.901227 lr=0.026260 Epoch[137] Batch [0099]/[1880] Speed: 108.456947 samples/sec accuracy=55.578125 loss=1.884748 lr=0.026238 Epoch[137] Batch [0149]/[1880] Speed: 106.519217 samples/sec accuracy=56.031250 loss=1.872988 lr=0.026217 Epoch[137] Batch [0199]/[1880] Speed: 101.136991 samples/sec accuracy=55.800781 loss=1.881977 lr=0.026195 Epoch[137] Batch [0249]/[1880] Speed: 107.089769 samples/sec accuracy=55.821875 loss=1.877835 lr=0.026174 Epoch[137] Batch [0299]/[1880] Speed: 104.825072 samples/sec accuracy=55.674479 loss=1.884298 lr=0.026153 Epoch[137] Batch [0349]/[1880] Speed: 105.512401 samples/sec accuracy=55.754464 loss=1.884551 lr=0.026131 Epoch[137] Batch [0399]/[1880] Speed: 102.973213 samples/sec accuracy=55.724609 loss=1.884529 lr=0.026110 Epoch[137] Batch [0449]/[1880] Speed: 102.934478 samples/sec accuracy=55.715278 loss=1.883622 lr=0.026089 Epoch[137] Batch [0499]/[1880] Speed: 110.406109 samples/sec accuracy=55.570312 loss=1.887302 lr=0.026067 Epoch[137] Batch [0549]/[1880] Speed: 100.456772 samples/sec accuracy=55.480114 loss=1.889638 lr=0.026046 Epoch[137] Batch [0599]/[1880] Speed: 103.878673 samples/sec accuracy=55.371094 loss=1.891527 lr=0.026025 Epoch[137] Batch [0649]/[1880] Speed: 106.762616 samples/sec accuracy=55.415865 loss=1.888520 lr=0.026003 Epoch[137] Batch [0699]/[1880] Speed: 99.471763 samples/sec accuracy=55.378348 loss=1.890342 lr=0.025982 Epoch[137] Batch [0749]/[1880] Speed: 109.450207 samples/sec accuracy=55.353125 loss=1.890446 lr=0.025961 Epoch[137] Batch [0799]/[1880] Speed: 101.732884 samples/sec accuracy=55.385742 loss=1.889528 lr=0.025939 Epoch[137] Batch [0849]/[1880] Speed: 108.378155 samples/sec accuracy=55.398897 loss=1.889708 lr=0.025918 Epoch[137] Batch [0899]/[1880] Speed: 110.505009 samples/sec accuracy=55.421007 loss=1.889681 lr=0.025897 Epoch[137] Batch [0949]/[1880] Speed: 100.400492 samples/sec accuracy=55.402138 loss=1.889924 lr=0.025875 Epoch[137] Batch [0999]/[1880] Speed: 106.909964 samples/sec accuracy=55.344531 loss=1.892329 lr=0.025854 Epoch[137] Batch [1049]/[1880] Speed: 103.910618 samples/sec accuracy=55.343750 loss=1.892247 lr=0.025833 Epoch[137] Batch [1099]/[1880] Speed: 102.282087 samples/sec accuracy=55.378551 loss=1.891217 lr=0.025812 Epoch[137] Batch [1149]/[1880] Speed: 106.783097 samples/sec accuracy=55.335598 loss=1.893241 lr=0.025790 Epoch[137] Batch [1199]/[1880] Speed: 103.867400 samples/sec accuracy=55.296875 loss=1.894918 lr=0.025769 Epoch[137] Batch [1249]/[1880] Speed: 103.450277 samples/sec accuracy=55.283750 loss=1.895841 lr=0.025748 Epoch[137] Batch [1299]/[1880] Speed: 107.796362 samples/sec accuracy=55.250601 loss=1.896451 lr=0.025727 Epoch[137] Batch [1349]/[1880] Speed: 102.062022 samples/sec accuracy=55.197338 loss=1.898928 lr=0.025705 Epoch[137] Batch [1399]/[1880] Speed: 106.106930 samples/sec accuracy=55.163504 loss=1.900173 lr=0.025684 Epoch[137] Batch [1449]/[1880] Speed: 104.755298 samples/sec accuracy=55.161638 loss=1.900266 lr=0.025663 Epoch[137] Batch [1499]/[1880] Speed: 102.814696 samples/sec accuracy=55.118229 loss=1.902129 lr=0.025642 Epoch[137] Batch [1549]/[1880] Speed: 107.083406 samples/sec accuracy=55.118448 loss=1.903126 lr=0.025620 Epoch[137] Batch [1599]/[1880] Speed: 101.831350 samples/sec accuracy=55.098145 loss=1.903850 lr=0.025599 Epoch[137] Batch [1649]/[1880] Speed: 106.388008 samples/sec accuracy=55.078598 loss=1.904630 lr=0.025578 Epoch[137] Batch [1699]/[1880] Speed: 102.458683 samples/sec accuracy=55.052849 loss=1.905365 lr=0.025557 Epoch[137] Batch [1749]/[1880] Speed: 106.464256 samples/sec accuracy=55.086607 loss=1.905009 lr=0.025536 Epoch[137] Batch [1799]/[1880] Speed: 104.874236 samples/sec accuracy=55.063368 loss=1.906008 lr=0.025514 Epoch[137] Batch [1849]/[1880] Speed: 103.496283 samples/sec accuracy=55.032939 loss=1.907420 lr=0.025493 Batch [0049]/[0151]: acc-top1=51.718750 acc-top5=75.234375 Batch [0099]/[0151]: acc-top1=55.320312 acc-top5=77.734375 Batch [0149]/[0151]: acc-top1=54.187500 acc-top5=77.744792 [Epoch 137] training: accuracy=55.025349 loss=1.907964 [Epoch 137] speed: 104 samples/sec time cost: 2512.484189 [Epoch 137] validation: acc-top1=54.082161 acc-top5=77.711093 loss=2.015302 Epoch[138] Batch [0049]/[1880] Speed: 73.967058 samples/sec accuracy=56.546875 loss=1.821468 lr=0.025459 Epoch[138] Batch [0099]/[1880] Speed: 108.314220 samples/sec accuracy=56.671875 loss=1.811526 lr=0.025438 Epoch[138] Batch [0149]/[1880] Speed: 102.990972 samples/sec accuracy=56.286458 loss=1.826063 lr=0.025417 Epoch[138] Batch [0199]/[1880] Speed: 104.853899 samples/sec accuracy=56.214844 loss=1.835470 lr=0.025396 Epoch[138] Batch [0249]/[1880] Speed: 108.072998 samples/sec accuracy=56.240625 loss=1.842870 lr=0.025375 Epoch[138] Batch [0299]/[1880] Speed: 100.894351 samples/sec accuracy=55.979167 loss=1.851902 lr=0.025354 Epoch[138] Batch [0349]/[1880] Speed: 109.245182 samples/sec accuracy=55.919643 loss=1.855106 lr=0.025332 Epoch[138] Batch [0399]/[1880] Speed: 101.885541 samples/sec accuracy=55.835938 loss=1.859397 lr=0.025311 Epoch[138] Batch 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accuracy=55.601562 loss=1.881075 lr=0.025100 Epoch[138] Batch [0949]/[1880] Speed: 101.442773 samples/sec accuracy=55.631579 loss=1.879810 lr=0.025079 Epoch[138] Batch [0999]/[1880] Speed: 107.175954 samples/sec accuracy=55.558594 loss=1.883212 lr=0.025058 Epoch[138] Batch [1049]/[1880] Speed: 102.743358 samples/sec accuracy=55.569940 loss=1.883181 lr=0.025037 Epoch[138] Batch [1099]/[1880] Speed: 105.527326 samples/sec accuracy=55.562500 loss=1.883652 lr=0.025016 Epoch[138] Batch [1149]/[1880] Speed: 108.884149 samples/sec accuracy=55.545516 loss=1.884278 lr=0.024995 Epoch[138] Batch [1199]/[1880] Speed: 99.927453 samples/sec accuracy=55.550781 loss=1.884092 lr=0.024974 Epoch[138] Batch [1249]/[1880] Speed: 111.065680 samples/sec accuracy=55.547500 loss=1.885149 lr=0.024953 Epoch[138] Batch [1299]/[1880] Speed: 100.754088 samples/sec accuracy=55.514423 loss=1.885506 lr=0.024932 Epoch[138] Batch [1349]/[1880] Speed: 107.300802 samples/sec accuracy=55.453125 loss=1.888359 lr=0.024911 Epoch[138] Batch [1399]/[1880] Speed: 100.031192 samples/sec accuracy=55.435826 loss=1.888674 lr=0.024890 Epoch[138] Batch [1449]/[1880] Speed: 110.400523 samples/sec accuracy=55.436422 loss=1.889636 lr=0.024869 Epoch[138] Batch [1499]/[1880] Speed: 108.074249 samples/sec accuracy=55.409896 loss=1.890073 lr=0.024848 Epoch[138] Batch [1549]/[1880] Speed: 100.177053 samples/sec accuracy=55.446573 loss=1.889418 lr=0.024827 Epoch[138] Batch [1599]/[1880] Speed: 107.564930 samples/sec accuracy=55.437012 loss=1.889740 lr=0.024806 Epoch[138] Batch [1649]/[1880] Speed: 102.698164 samples/sec accuracy=55.408617 loss=1.889954 lr=0.024785 Epoch[138] Batch [1699]/[1880] Speed: 105.914910 samples/sec accuracy=55.379596 loss=1.891552 lr=0.024764 Epoch[138] Batch [1749]/[1880] Speed: 104.673547 samples/sec accuracy=55.376786 loss=1.891110 lr=0.024743 Epoch[138] Batch [1799]/[1880] Speed: 103.962203 samples/sec accuracy=55.367622 loss=1.891780 lr=0.024722 Epoch[138] Batch [1849]/[1880] Speed: 106.436626 samples/sec accuracy=55.352618 loss=1.891727 lr=0.024701 Batch [0049]/[0151]: acc-top1=51.109375 acc-top5=75.703125 Batch [0099]/[0151]: acc-top1=55.359375 acc-top5=78.093750 Batch [0149]/[0151]: acc-top1=54.031250 acc-top5=77.609375 [Epoch 138] training: accuracy=55.350316 loss=1.891961 [Epoch 138] speed: 104 samples/sec time cost: 2509.868119 [Epoch 138] validation: acc-top1=53.978684 acc-top5=77.576573 loss=2.031999 Epoch[139] Batch [0049]/[1879] Speed: 74.848947 samples/sec accuracy=56.000000 loss=1.877664 lr=0.024667 Epoch[139] Batch [0099]/[1879] Speed: 108.138546 samples/sec accuracy=56.203125 loss=1.853598 lr=0.024646 Epoch[139] Batch [0149]/[1879] Speed: 104.264555 samples/sec accuracy=56.526042 loss=1.842410 lr=0.024625 Epoch[139] Batch [0199]/[1879] Speed: 101.798541 samples/sec accuracy=56.054688 loss=1.855090 lr=0.024605 Epoch[139] Batch [0249]/[1879] Speed: 105.884430 samples/sec accuracy=56.437500 loss=1.842177 lr=0.024584 Epoch[139] Batch [0299]/[1879] Speed: 102.270863 samples/sec accuracy=56.343750 loss=1.846478 lr=0.024563 Epoch[139] Batch [0349]/[1879] Speed: 106.418530 samples/sec accuracy=56.200893 loss=1.852674 lr=0.024542 Epoch[139] Batch [0399]/[1879] Speed: 103.403067 samples/sec accuracy=56.201172 loss=1.853825 lr=0.024521 Epoch[139] Batch [0449]/[1879] Speed: 108.504460 samples/sec accuracy=56.227431 loss=1.853322 lr=0.024500 Epoch[139] Batch [0499]/[1879] Speed: 108.250256 samples/sec accuracy=56.154688 loss=1.856487 lr=0.024479 Epoch[139] Batch [0549]/[1879] Speed: 102.613139 samples/sec accuracy=56.149148 loss=1.855809 lr=0.024458 Epoch[139] Batch [0599]/[1879] Speed: 103.218802 samples/sec accuracy=56.158854 loss=1.855068 lr=0.024437 Epoch[139] Batch [0649]/[1879] Speed: 105.340541 samples/sec accuracy=56.045673 loss=1.860294 lr=0.024416 Epoch[139] Batch [0699]/[1879] Speed: 107.955615 samples/sec accuracy=56.007812 loss=1.862447 lr=0.024396 Epoch[139] Batch [0749]/[1879] Speed: 102.164337 samples/sec accuracy=55.990625 loss=1.863672 lr=0.024375 Epoch[139] Batch [0799]/[1879] Speed: 108.284188 samples/sec accuracy=55.993164 loss=1.864686 lr=0.024354 Epoch[139] Batch [0849]/[1879] Speed: 104.868521 samples/sec accuracy=55.981618 loss=1.865374 lr=0.024333 Epoch[139] Batch [0899]/[1879] Speed: 103.916128 samples/sec accuracy=55.941840 loss=1.866460 lr=0.024312 Epoch[139] Batch [0949]/[1879] Speed: 104.277113 samples/sec accuracy=55.977796 loss=1.865882 lr=0.024291 Epoch[139] Batch [0999]/[1879] Speed: 101.540718 samples/sec accuracy=55.911719 loss=1.867665 lr=0.024270 Epoch[139] Batch [1049]/[1879] Speed: 108.811987 samples/sec accuracy=55.917411 loss=1.868028 lr=0.024250 Epoch[139] Batch [1099]/[1879] Speed: 99.981519 samples/sec accuracy=55.906250 loss=1.869340 lr=0.024229 Epoch[139] Batch [1149]/[1879] Speed: 109.700452 samples/sec accuracy=55.889266 loss=1.870743 lr=0.024208 Epoch[139] Batch [1199]/[1879] Speed: 105.848738 samples/sec accuracy=55.880859 loss=1.870904 lr=0.024187 Epoch[139] Batch 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accuracy=55.738511 loss=1.876607 lr=0.023979 Epoch[139] Batch [1749]/[1879] Speed: 106.762822 samples/sec accuracy=55.737946 loss=1.876349 lr=0.023959 Epoch[139] Batch [1799]/[1879] Speed: 105.641787 samples/sec accuracy=55.708333 loss=1.876946 lr=0.023938 Epoch[139] Batch [1849]/[1879] Speed: 101.458016 samples/sec accuracy=55.655405 loss=1.878833 lr=0.023917 Batch [0049]/[0151]: acc-top1=50.750000 acc-top5=75.343750 Batch [0099]/[0151]: acc-top1=55.500000 acc-top5=77.835938 Batch [0149]/[0151]: acc-top1=53.703125 acc-top5=77.260417 [Epoch 139] training: accuracy=55.659593 loss=1.878535 [Epoch 139] speed: 104 samples/sec time cost: 2507.707275 [Epoch 139] validation: acc-top1=53.616515 acc-top5=77.209230 loss=2.042840 Epoch[140] Batch [0049]/[1880] Speed: 72.559978 samples/sec accuracy=57.859375 loss=1.768056 lr=0.023884 Epoch[140] Batch [0099]/[1880] Speed: 109.163076 samples/sec accuracy=57.445312 loss=1.796075 lr=0.023864 Epoch[140] Batch [0149]/[1880] Speed: 106.797934 samples/sec accuracy=57.078125 loss=1.818292 lr=0.023843 Epoch[140] Batch [0199]/[1880] Speed: 99.865498 samples/sec accuracy=56.789062 loss=1.817845 lr=0.023822 Epoch[140] Batch [0249]/[1880] Speed: 110.533598 samples/sec accuracy=56.743750 loss=1.826588 lr=0.023801 Epoch[140] Batch [0299]/[1880] Speed: 99.653262 samples/sec accuracy=56.635417 loss=1.836590 lr=0.023781 Epoch[140] Batch [0349]/[1880] Speed: 109.057647 samples/sec accuracy=56.546875 loss=1.837714 lr=0.023760 Epoch[140] Batch [0399]/[1880] Speed: 104.512788 samples/sec accuracy=56.449219 loss=1.838912 lr=0.023739 Epoch[140] Batch [0449]/[1880] Speed: 103.822693 samples/sec accuracy=56.473958 loss=1.837025 lr=0.023719 Epoch[140] Batch [0499]/[1880] Speed: 108.260330 samples/sec accuracy=56.440625 loss=1.837662 lr=0.023698 Epoch[140] Batch [0549]/[1880] Speed: 99.346360 samples/sec accuracy=56.423295 loss=1.838567 lr=0.023677 Epoch[140] Batch [0599]/[1880] Speed: 109.641304 samples/sec accuracy=56.342448 loss=1.842426 lr=0.023657 Epoch[140] Batch [0649]/[1880] Speed: 104.288846 samples/sec accuracy=56.282452 loss=1.846298 lr=0.023636 Epoch[140] Batch [0699]/[1880] Speed: 105.664312 samples/sec accuracy=56.268973 loss=1.846148 lr=0.023615 Epoch[140] Batch [0749]/[1880] Speed: 107.544840 samples/sec accuracy=56.298958 loss=1.844961 lr=0.023595 Epoch[140] Batch [0799]/[1880] Speed: 100.732014 samples/sec accuracy=56.306641 loss=1.844317 lr=0.023574 Epoch[140] Batch [0849]/[1880] Speed: 108.267569 samples/sec accuracy=56.336397 loss=1.841465 lr=0.023554 Epoch[140] Batch [0899]/[1880] Speed: 103.237186 samples/sec accuracy=56.296875 loss=1.842605 lr=0.023533 Epoch[140] Batch [0949]/[1880] Speed: 105.605549 samples/sec accuracy=56.284539 loss=1.843969 lr=0.023512 Epoch[140] Batch [0999]/[1880] Speed: 107.536287 samples/sec accuracy=56.239063 loss=1.845505 lr=0.023492 Epoch[140] Batch [1049]/[1880] Speed: 102.464706 samples/sec accuracy=56.241071 loss=1.845542 lr=0.023471 Epoch[140] Batch [1099]/[1880] Speed: 103.370224 samples/sec accuracy=56.205966 loss=1.847202 lr=0.023450 Epoch[140] Batch [1149]/[1880] Speed: 103.592038 samples/sec accuracy=56.154891 loss=1.849751 lr=0.023430 Epoch[140] Batch [1199]/[1880] Speed: 105.953637 samples/sec accuracy=56.132812 loss=1.850336 lr=0.023409 Epoch[140] Batch [1249]/[1880] Speed: 104.740903 samples/sec accuracy=56.103750 loss=1.851649 lr=0.023389 Epoch[140] Batch [1299]/[1880] Speed: 105.954493 samples/sec accuracy=56.043269 loss=1.853546 lr=0.023368 Epoch[140] Batch [1349]/[1880] Speed: 105.539650 samples/sec accuracy=55.997106 loss=1.855355 lr=0.023348 Epoch[140] Batch [1399]/[1880] Speed: 100.510388 samples/sec accuracy=55.995536 loss=1.855772 lr=0.023327 Epoch[140] Batch [1449]/[1880] Speed: 108.814211 samples/sec accuracy=55.981142 loss=1.856898 lr=0.023306 Epoch[140] Batch [1499]/[1880] Speed: 99.498416 samples/sec accuracy=56.001042 loss=1.857175 lr=0.023286 Epoch[140] Batch [1549]/[1880] Speed: 108.211979 samples/sec accuracy=55.994456 loss=1.857378 lr=0.023265 Epoch[140] Batch [1599]/[1880] Speed: 101.058796 samples/sec accuracy=55.964844 loss=1.858703 lr=0.023245 Epoch[140] Batch [1649]/[1880] Speed: 102.154346 samples/sec accuracy=55.960701 loss=1.859116 lr=0.023224 Epoch[140] Batch [1699]/[1880] Speed: 108.687650 samples/sec accuracy=55.959559 loss=1.858696 lr=0.023204 Epoch[140] Batch [1749]/[1880] Speed: 98.042229 samples/sec accuracy=55.942411 loss=1.860631 lr=0.023183 Epoch[140] Batch [1799]/[1880] Speed: 110.412093 samples/sec accuracy=55.920573 loss=1.862175 lr=0.023163 Epoch[140] Batch [1849]/[1880] Speed: 103.931314 samples/sec accuracy=55.927787 loss=1.862457 lr=0.023142 Batch [0049]/[0151]: acc-top1=52.234375 acc-top5=75.640625 Batch [0099]/[0151]: acc-top1=55.710938 acc-top5=78.039062 Batch [0149]/[0151]: acc-top1=54.307292 acc-top5=77.526042 [Epoch 140] training: accuracy=55.922955 loss=1.862301 [Epoch 140] speed: 104 samples/sec time cost: 2515.339710 [Epoch 140] validation: acc-top1=54.247724 acc-top5=77.504139 loss=2.019369 Epoch[141] Batch [0049]/[1880] Speed: 75.571917 samples/sec accuracy=58.859375 loss=1.765181 lr=0.023109 Epoch[141] Batch [0099]/[1880] Speed: 106.477460 samples/sec accuracy=57.898438 loss=1.784051 lr=0.023089 Epoch[141] Batch [0149]/[1880] Speed: 104.985706 samples/sec accuracy=57.604167 loss=1.792527 lr=0.023069 Epoch[141] Batch [0199]/[1880] Speed: 101.772084 samples/sec accuracy=57.246094 loss=1.807124 lr=0.023048 Epoch[141] Batch [0249]/[1880] Speed: 107.248012 samples/sec accuracy=57.053125 loss=1.813442 lr=0.023028 Epoch[141] Batch [0299]/[1880] Speed: 106.683215 samples/sec accuracy=57.161458 loss=1.811225 lr=0.023007 Epoch[141] Batch [0349]/[1880] Speed: 102.051346 samples/sec accuracy=57.305804 loss=1.806169 lr=0.022987 Epoch[141] Batch [0399]/[1880] Speed: 109.127239 samples/sec accuracy=57.312500 loss=1.805331 lr=0.022966 Epoch[141] Batch [0449]/[1880] Speed: 97.175694 samples/sec accuracy=57.220486 loss=1.807584 lr=0.022946 Epoch[141] Batch [0499]/[1880] Speed: 112.303375 samples/sec accuracy=57.231250 loss=1.810937 lr=0.022925 Epoch[141] Batch [0549]/[1880] Speed: 102.355645 samples/sec accuracy=57.028409 loss=1.817525 lr=0.022905 Epoch[141] Batch [0599]/[1880] Speed: 104.999577 samples/sec accuracy=56.888021 loss=1.821409 lr=0.022885 Epoch[141] Batch [0649]/[1880] Speed: 108.688308 samples/sec accuracy=56.802885 loss=1.824105 lr=0.022864 Epoch[141] Batch [0699]/[1880] Speed: 102.073636 samples/sec accuracy=56.746652 loss=1.826795 lr=0.022844 Epoch[141] Batch [0749]/[1880] Speed: 107.162977 samples/sec accuracy=56.737500 loss=1.829210 lr=0.022823 Epoch[141] Batch [0799]/[1880] Speed: 102.505772 samples/sec accuracy=56.693359 loss=1.832201 lr=0.022803 Epoch[141] Batch [0849]/[1880] Speed: 104.714402 samples/sec accuracy=56.761029 loss=1.831547 lr=0.022783 Epoch[141] Batch [0899]/[1880] Speed: 105.053730 samples/sec accuracy=56.729167 loss=1.833752 lr=0.022762 Epoch[141] Batch [0949]/[1880] Speed: 101.675308 samples/sec accuracy=56.796875 loss=1.831305 lr=0.022742 Epoch[141] Batch [0999]/[1880] Speed: 110.864007 samples/sec accuracy=56.793750 loss=1.831865 lr=0.022721 Epoch[141] Batch [1049]/[1880] Speed: 100.482768 samples/sec accuracy=56.781994 loss=1.833485 lr=0.022701 Epoch[141] Batch [1099]/[1880] Speed: 106.248557 samples/sec accuracy=56.745739 loss=1.834941 lr=0.022681 Epoch[141] Batch [1149]/[1880] Speed: 105.321930 samples/sec accuracy=56.669837 loss=1.837207 lr=0.022660 Epoch[141] Batch [1199]/[1880] Speed: 103.362644 samples/sec accuracy=56.615885 loss=1.839038 lr=0.022640 Epoch[141] Batch [1249]/[1880] Speed: 107.784093 samples/sec accuracy=56.575000 loss=1.841379 lr=0.022620 Epoch[141] Batch [1299]/[1880] Speed: 101.425743 samples/sec accuracy=56.565505 loss=1.842210 lr=0.022599 Epoch[141] Batch [1349]/[1880] Speed: 109.001083 samples/sec accuracy=56.558449 loss=1.842596 lr=0.022579 Epoch[141] Batch [1399]/[1880] Speed: 96.537197 samples/sec accuracy=56.530134 loss=1.843063 lr=0.022559 Epoch[141] Batch [1449]/[1880] Speed: 109.110480 samples/sec accuracy=56.531789 loss=1.842589 lr=0.022538 Epoch[141] Batch [1499]/[1880] Speed: 102.733338 samples/sec accuracy=56.513021 loss=1.843895 lr=0.022518 Epoch[141] Batch [1549]/[1880] Speed: 106.668047 samples/sec accuracy=56.501512 loss=1.844447 lr=0.022498 Epoch[141] Batch [1599]/[1880] Speed: 103.889193 samples/sec accuracy=56.462402 loss=1.846383 lr=0.022477 Epoch[141] Batch [1649]/[1880] Speed: 103.680093 samples/sec accuracy=56.455966 loss=1.846951 lr=0.022457 Epoch[141] Batch [1699]/[1880] Speed: 103.668944 samples/sec accuracy=56.415441 loss=1.848382 lr=0.022437 Epoch[141] Batch [1749]/[1880] Speed: 103.609503 samples/sec accuracy=56.418304 loss=1.847481 lr=0.022417 Epoch[141] Batch [1799]/[1880] Speed: 106.486549 samples/sec accuracy=56.398438 loss=1.846957 lr=0.022396 Epoch[141] Batch [1849]/[1880] Speed: 99.442721 samples/sec accuracy=56.366554 loss=1.848788 lr=0.022376 Batch [0049]/[0151]: acc-top1=52.218750 acc-top5=76.234375 Batch [0099]/[0151]: acc-top1=55.164062 acc-top5=77.765625 Batch [0149]/[0151]: acc-top1=54.302083 acc-top5=77.630208 [Epoch 141] training: accuracy=56.363032 loss=1.848872 [Epoch 141] speed: 104 samples/sec time cost: 2513.359944 [Epoch 141] validation: acc-top1=54.232202 acc-top5=77.617964 loss=2.027463 Epoch[142] Batch [0049]/[1880] Speed: 74.146008 samples/sec accuracy=57.546875 loss=1.762637 lr=0.022344 Epoch[142] Batch [0099]/[1880] Speed: 105.386451 samples/sec accuracy=57.617188 loss=1.777823 lr=0.022323 Epoch[142] Batch [0149]/[1880] Speed: 105.027658 samples/sec accuracy=57.463542 loss=1.796079 lr=0.022303 Epoch[142] Batch [0199]/[1880] Speed: 102.533314 samples/sec accuracy=57.507812 loss=1.793119 lr=0.022283 Epoch[142] Batch [0249]/[1880] Speed: 104.714370 samples/sec accuracy=57.271875 loss=1.799094 lr=0.022263 Epoch[142] Batch [0299]/[1880] Speed: 105.827202 samples/sec accuracy=57.033854 loss=1.811013 lr=0.022243 Epoch[142] Batch 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accuracy=56.880859 loss=1.817690 lr=0.022041 Epoch[142] Batch [0849]/[1880] Speed: 106.371551 samples/sec accuracy=56.851103 loss=1.817535 lr=0.022021 Epoch[142] Batch [0899]/[1880] Speed: 100.132601 samples/sec accuracy=56.832465 loss=1.818373 lr=0.022000 Epoch[142] Batch [0949]/[1880] Speed: 108.611849 samples/sec accuracy=56.791941 loss=1.819702 lr=0.021980 Epoch[142] Batch [0999]/[1880] Speed: 104.039988 samples/sec accuracy=56.754688 loss=1.822289 lr=0.021960 Epoch[142] Batch [1049]/[1880] Speed: 102.744963 samples/sec accuracy=56.759673 loss=1.822707 lr=0.021940 Epoch[142] Batch [1099]/[1880] Speed: 104.570252 samples/sec accuracy=56.744318 loss=1.822795 lr=0.021920 Epoch[142] Batch [1149]/[1880] Speed: 102.556684 samples/sec accuracy=56.709918 loss=1.825733 lr=0.021900 Epoch[142] Batch [1199]/[1880] Speed: 105.101480 samples/sec accuracy=56.723958 loss=1.825781 lr=0.021880 Epoch[142] Batch [1249]/[1880] Speed: 107.126609 samples/sec accuracy=56.668750 loss=1.828242 lr=0.021860 Epoch[142] Batch [1299]/[1880] Speed: 101.827183 samples/sec accuracy=56.611178 loss=1.831236 lr=0.021840 Epoch[142] Batch [1349]/[1880] Speed: 108.788813 samples/sec accuracy=56.618634 loss=1.831728 lr=0.021820 Epoch[142] Batch [1399]/[1880] Speed: 97.939183 samples/sec accuracy=56.582589 loss=1.833231 lr=0.021799 Epoch[142] Batch [1449]/[1880] Speed: 111.061440 samples/sec accuracy=56.538793 loss=1.834155 lr=0.021779 Epoch[142] Batch [1499]/[1880] Speed: 101.107182 samples/sec accuracy=56.507812 loss=1.834915 lr=0.021759 Epoch[142] Batch [1549]/[1880] Speed: 108.251710 samples/sec accuracy=56.504032 loss=1.835885 lr=0.021739 Epoch[142] Batch [1599]/[1880] Speed: 99.934097 samples/sec accuracy=56.483887 loss=1.837090 lr=0.021719 Epoch[142] Batch [1649]/[1880] Speed: 108.588830 samples/sec accuracy=56.473958 loss=1.837828 lr=0.021699 Epoch[142] Batch [1699]/[1880] Speed: 108.087772 samples/sec accuracy=56.496783 loss=1.836813 lr=0.021679 Epoch[142] Batch [1749]/[1880] Speed: 99.988086 samples/sec accuracy=56.483036 loss=1.838132 lr=0.021659 Epoch[142] Batch [1799]/[1880] Speed: 109.585665 samples/sec accuracy=56.449653 loss=1.839921 lr=0.021639 Epoch[142] Batch [1849]/[1880] Speed: 97.901654 samples/sec accuracy=56.434122 loss=1.840853 lr=0.021619 Batch [0049]/[0151]: acc-top1=53.781250 acc-top5=76.578125 Batch [0099]/[0151]: acc-top1=56.328125 acc-top5=78.414062 Batch [0149]/[0151]: acc-top1=54.906250 acc-top5=77.869792 [Epoch 142] training: accuracy=56.424950 loss=1.841911 [Epoch 142] speed: 103 samples/sec time cost: 2518.683362 [Epoch 142] validation: acc-top1=54.827194 acc-top5=77.850786 loss=1.993860 Epoch[143] Batch [0049]/[1880] Speed: 74.429090 samples/sec accuracy=58.421875 loss=1.725836 lr=0.021587 Epoch[143] Batch [0099]/[1880] Speed: 108.553081 samples/sec accuracy=58.257812 loss=1.736081 lr=0.021567 Epoch[143] Batch [0149]/[1880] Speed: 101.256065 samples/sec accuracy=58.062500 loss=1.755267 lr=0.021547 Epoch[143] Batch [0199]/[1880] Speed: 108.637023 samples/sec accuracy=58.105469 loss=1.758997 lr=0.021527 Epoch[143] Batch [0249]/[1880] Speed: 102.380671 samples/sec accuracy=57.815625 loss=1.775760 lr=0.021507 Epoch[143] Batch [0299]/[1880] Speed: 105.501315 samples/sec accuracy=57.786458 loss=1.778231 lr=0.021487 Epoch[143] Batch [0349]/[1880] Speed: 105.690333 samples/sec accuracy=57.870536 loss=1.776344 lr=0.021467 Epoch[143] Batch [0399]/[1880] Speed: 104.564579 samples/sec accuracy=57.769531 loss=1.782496 lr=0.021447 Epoch[143] Batch [0449]/[1880] Speed: 104.260873 samples/sec accuracy=57.586806 loss=1.789213 lr=0.021427 Epoch[143] Batch [0499]/[1880] Speed: 103.534492 samples/sec accuracy=57.510938 loss=1.792962 lr=0.021407 Epoch[143] Batch [0549]/[1880] Speed: 107.852894 samples/sec accuracy=57.399148 loss=1.795378 lr=0.021387 Epoch[143] Batch [0599]/[1880] Speed: 107.283162 samples/sec accuracy=57.343750 loss=1.798148 lr=0.021368 Epoch[143] Batch [0649]/[1880] Speed: 100.611243 samples/sec accuracy=57.242788 loss=1.799626 lr=0.021348 Epoch[143] Batch [0699]/[1880] Speed: 111.526857 samples/sec accuracy=57.209821 loss=1.801372 lr=0.021328 Epoch[143] Batch [0749]/[1880] Speed: 97.900948 samples/sec accuracy=57.204167 loss=1.801301 lr=0.021308 Epoch[143] Batch [0799]/[1880] Speed: 110.662528 samples/sec accuracy=57.149414 loss=1.803291 lr=0.021288 Epoch[143] Batch [0849]/[1880] Speed: 97.561448 samples/sec accuracy=57.158088 loss=1.802746 lr=0.021268 Epoch[143] Batch [0899]/[1880] Speed: 111.590027 samples/sec accuracy=57.105035 loss=1.806016 lr=0.021248 Epoch[143] Batch [0949]/[1880] Speed: 99.989924 samples/sec accuracy=57.124178 loss=1.805982 lr=0.021228 Epoch[143] Batch [0999]/[1880] Speed: 106.664604 samples/sec accuracy=57.081250 loss=1.808935 lr=0.021208 Epoch[143] Batch [1049]/[1880] Speed: 101.506679 samples/sec accuracy=57.058780 loss=1.809917 lr=0.021189 Epoch[143] Batch [1099]/[1880] Speed: 108.374429 samples/sec accuracy=57.043324 loss=1.810316 lr=0.021169 Epoch[143] Batch [1149]/[1880] Speed: 109.866399 samples/sec accuracy=57.052989 loss=1.809694 lr=0.021149 Epoch[143] Batch [1199]/[1880] Speed: 96.178597 samples/sec accuracy=57.028646 loss=1.811150 lr=0.021129 Epoch[143] Batch [1249]/[1880] Speed: 111.617497 samples/sec accuracy=57.066250 loss=1.810464 lr=0.021109 Epoch[143] Batch [1299]/[1880] Speed: 105.416672 samples/sec accuracy=57.052284 loss=1.812453 lr=0.021089 Epoch[143] Batch [1349]/[1880] Speed: 104.706631 samples/sec accuracy=57.016782 loss=1.813964 lr=0.021069 Epoch[143] Batch [1399]/[1880] Speed: 107.426932 samples/sec accuracy=57.016183 loss=1.814146 lr=0.021050 Epoch[143] Batch [1449]/[1880] Speed: 100.254017 samples/sec accuracy=57.019397 loss=1.814652 lr=0.021030 Epoch[143] Batch [1499]/[1880] Speed: 108.975500 samples/sec accuracy=56.995312 loss=1.815273 lr=0.021010 Epoch[143] Batch [1549]/[1880] Speed: 103.497344 samples/sec accuracy=57.005544 loss=1.815157 lr=0.020990 Epoch[143] Batch [1599]/[1880] Speed: 103.411836 samples/sec accuracy=56.998535 loss=1.815936 lr=0.020970 Epoch[143] Batch [1649]/[1880] Speed: 109.289993 samples/sec accuracy=56.991004 loss=1.816542 lr=0.020951 Epoch[143] Batch [1699]/[1880] Speed: 103.417545 samples/sec accuracy=56.965533 loss=1.816971 lr=0.020931 Epoch[143] Batch [1749]/[1880] Speed: 104.354520 samples/sec accuracy=56.947321 loss=1.817578 lr=0.020911 Epoch[143] Batch [1799]/[1880] Speed: 105.132424 samples/sec accuracy=56.923611 loss=1.818697 lr=0.020891 Epoch[143] Batch [1849]/[1880] Speed: 102.678361 samples/sec accuracy=56.931588 loss=1.818756 lr=0.020872 Batch [0049]/[0151]: acc-top1=52.640625 acc-top5=76.937500 Batch [0099]/[0151]: acc-top1=56.414062 acc-top5=79.078125 Batch [0149]/[0151]: acc-top1=55.197917 acc-top5=78.432292 [Epoch 143] training: accuracy=56.922374 loss=1.818984 [Epoch 143] speed: 104 samples/sec time cost: 2509.526330 [Epoch 143] validation: acc-top1=55.096233 acc-top5=78.373344 loss=1.977434 Epoch[144] Batch [0049]/[1880] Speed: 74.501799 samples/sec accuracy=57.687500 loss=1.781319 lr=0.020840 Epoch[144] Batch [0099]/[1880] Speed: 106.729977 samples/sec accuracy=57.960938 loss=1.772052 lr=0.020820 Epoch[144] Batch [0149]/[1880] Speed: 102.833584 samples/sec accuracy=57.750000 loss=1.782949 lr=0.020801 Epoch[144] Batch [0199]/[1880] Speed: 104.362423 samples/sec accuracy=57.789062 loss=1.781432 lr=0.020781 Epoch[144] Batch [0249]/[1880] Speed: 104.848310 samples/sec accuracy=57.625000 loss=1.788877 lr=0.020761 Epoch[144] Batch [0299]/[1880] Speed: 104.768139 samples/sec accuracy=57.460938 loss=1.792849 lr=0.020741 Epoch[144] Batch [0349]/[1880] Speed: 103.446873 samples/sec accuracy=57.412946 loss=1.799639 lr=0.020722 Epoch[144] Batch [0399]/[1880] Speed: 109.051990 samples/sec accuracy=57.292969 loss=1.803121 lr=0.020702 Epoch[144] Batch [0449]/[1880] Speed: 106.343584 samples/sec accuracy=57.253472 loss=1.805365 lr=0.020682 Epoch[144] Batch [0499]/[1880] Speed: 100.116090 samples/sec accuracy=57.276562 loss=1.803599 lr=0.020663 Epoch[144] Batch 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accuracy=57.213281 loss=1.804451 lr=0.020466 Epoch[144] Batch [1049]/[1880] Speed: 105.937479 samples/sec accuracy=57.218006 loss=1.805020 lr=0.020447 Epoch[144] Batch [1099]/[1880] Speed: 107.397597 samples/sec accuracy=57.231534 loss=1.805124 lr=0.020427 Epoch[144] Batch [1149]/[1880] Speed: 104.613522 samples/sec accuracy=57.211277 loss=1.805343 lr=0.020407 Epoch[144] Batch [1199]/[1880] Speed: 104.186391 samples/sec accuracy=57.211589 loss=1.806157 lr=0.020388 Epoch[144] Batch [1249]/[1880] Speed: 102.974071 samples/sec accuracy=57.208750 loss=1.806444 lr=0.020368 Epoch[144] Batch [1299]/[1880] Speed: 104.387702 samples/sec accuracy=57.187500 loss=1.807500 lr=0.020349 Epoch[144] Batch [1349]/[1880] Speed: 106.581396 samples/sec accuracy=57.201968 loss=1.807592 lr=0.020329 Epoch[144] Batch [1399]/[1880] Speed: 99.743282 samples/sec accuracy=57.204799 loss=1.807273 lr=0.020310 Epoch[144] Batch [1449]/[1880] Speed: 112.565404 samples/sec accuracy=57.202047 loss=1.807212 lr=0.020290 Epoch[144] Batch [1499]/[1880] Speed: 101.223126 samples/sec accuracy=57.186979 loss=1.807643 lr=0.020270 Epoch[144] Batch [1549]/[1880] Speed: 106.775838 samples/sec accuracy=57.162298 loss=1.807813 lr=0.020251 Epoch[144] Batch [1599]/[1880] Speed: 106.254983 samples/sec accuracy=57.180176 loss=1.807539 lr=0.020231 Epoch[144] Batch [1649]/[1880] Speed: 99.850714 samples/sec accuracy=57.188447 loss=1.807240 lr=0.020212 Epoch[144] Batch [1699]/[1880] Speed: 105.900109 samples/sec accuracy=57.156710 loss=1.808478 lr=0.020192 Epoch[144] Batch [1749]/[1880] Speed: 104.167247 samples/sec accuracy=57.175893 loss=1.808266 lr=0.020173 Epoch[144] Batch [1799]/[1880] Speed: 107.487260 samples/sec accuracy=57.177517 loss=1.808747 lr=0.020153 Epoch[144] Batch [1849]/[1880] Speed: 103.401743 samples/sec accuracy=57.159206 loss=1.809079 lr=0.020134 Batch [0049]/[0151]: acc-top1=51.953125 acc-top5=75.968750 Batch [0099]/[0151]: acc-top1=55.843750 acc-top5=78.000000 Batch [0149]/[0151]: acc-top1=55.031250 acc-top5=77.640625 [Epoch 144] training: accuracy=57.177111 loss=1.808857 [Epoch 144] speed: 104 samples/sec time cost: 2512.304239 [Epoch 144] validation: acc-top1=54.956540 acc-top5=77.659354 loss=2.005102 Epoch[145] Batch [0049]/[1879] Speed: 75.132319 samples/sec accuracy=58.656250 loss=1.743255 lr=0.020103 Epoch[145] Batch [0099]/[1879] Speed: 108.154188 samples/sec accuracy=58.171875 loss=1.757228 lr=0.020083 Epoch[145] Batch [0149]/[1879] Speed: 102.203182 samples/sec accuracy=57.984375 loss=1.768619 lr=0.020064 Epoch[145] Batch [0199]/[1879] Speed: 105.806193 samples/sec accuracy=57.816406 loss=1.772404 lr=0.020044 Epoch[145] Batch [0249]/[1879] Speed: 105.788372 samples/sec accuracy=57.856250 loss=1.771737 lr=0.020025 Epoch[145] Batch [0299]/[1879] Speed: 101.332964 samples/sec accuracy=57.929688 loss=1.766431 lr=0.020005 Epoch[145] Batch [0349]/[1879] Speed: 110.268603 samples/sec accuracy=57.870536 loss=1.771196 lr=0.019986 Epoch[145] Batch [0399]/[1879] Speed: 105.165945 samples/sec accuracy=57.865234 loss=1.769457 lr=0.019966 Epoch[145] Batch [0449]/[1879] Speed: 102.671807 samples/sec accuracy=57.829861 loss=1.769596 lr=0.019947 Epoch[145] Batch [0499]/[1879] Speed: 103.087148 samples/sec accuracy=57.829688 loss=1.769485 lr=0.019928 Epoch[145] Batch [0549]/[1879] Speed: 105.203145 samples/sec accuracy=57.906250 loss=1.767280 lr=0.019908 Epoch[145] Batch [0599]/[1879] Speed: 104.559383 samples/sec accuracy=57.858073 loss=1.769981 lr=0.019889 Epoch[145] Batch [0649]/[1879] Speed: 106.801252 samples/sec accuracy=57.903846 loss=1.768031 lr=0.019869 Epoch[145] Batch [0699]/[1879] Speed: 102.625658 samples/sec accuracy=57.889509 loss=1.768093 lr=0.019850 Epoch[145] Batch [0749]/[1879] Speed: 107.618781 samples/sec accuracy=57.818750 loss=1.768656 lr=0.019831 Epoch[145] Batch [0799]/[1879] Speed: 101.859225 samples/sec accuracy=57.816406 loss=1.772852 lr=0.019811 Epoch[145] Batch [0849]/[1879] Speed: 108.452573 samples/sec accuracy=57.824449 loss=1.772902 lr=0.019792 Epoch[145] Batch [0899]/[1879] Speed: 104.818111 samples/sec accuracy=57.864583 loss=1.771872 lr=0.019773 Epoch[145] Batch [0949]/[1879] Speed: 104.859740 samples/sec accuracy=57.824836 loss=1.773705 lr=0.019753 Epoch[145] Batch [0999]/[1879] Speed: 104.882228 samples/sec accuracy=57.782813 loss=1.774833 lr=0.019734 Epoch[145] Batch [1049]/[1879] Speed: 102.557325 samples/sec accuracy=57.822173 loss=1.774243 lr=0.019715 Epoch[145] Batch [1099]/[1879] Speed: 106.136513 samples/sec accuracy=57.836648 loss=1.775087 lr=0.019695 Epoch[145] Batch [1149]/[1879] Speed: 104.535746 samples/sec accuracy=57.813859 loss=1.775696 lr=0.019676 Epoch[145] Batch [1199]/[1879] Speed: 103.162970 samples/sec accuracy=57.800781 loss=1.775989 lr=0.019657 Epoch[145] Batch [1249]/[1879] Speed: 109.385130 samples/sec accuracy=57.790000 loss=1.777260 lr=0.019637 Epoch[145] Batch [1299]/[1879] Speed: 100.280718 samples/sec accuracy=57.745192 loss=1.778124 lr=0.019618 Epoch[145] Batch [1349]/[1879] Speed: 106.032571 samples/sec accuracy=57.710069 loss=1.778893 lr=0.019599 Epoch[145] Batch [1399]/[1879] Speed: 109.627132 samples/sec accuracy=57.705357 loss=1.778974 lr=0.019579 Epoch[145] Batch [1449]/[1879] Speed: 103.367918 samples/sec accuracy=57.665409 loss=1.780304 lr=0.019560 Epoch[145] Batch [1499]/[1879] Speed: 102.248168 samples/sec accuracy=57.667187 loss=1.780350 lr=0.019541 Epoch[145] Batch [1549]/[1879] Speed: 103.456151 samples/sec accuracy=57.681956 loss=1.779868 lr=0.019522 Epoch[145] Batch [1599]/[1879] Speed: 107.155665 samples/sec accuracy=57.645020 loss=1.781817 lr=0.019502 Epoch[145] Batch [1649]/[1879] Speed: 103.697815 samples/sec accuracy=57.631155 loss=1.782073 lr=0.019483 Epoch[145] Batch [1699]/[1879] Speed: 101.660692 samples/sec accuracy=57.604320 loss=1.783266 lr=0.019464 Epoch[145] Batch [1749]/[1879] Speed: 108.786446 samples/sec accuracy=57.583036 loss=1.784208 lr=0.019445 Epoch[145] Batch [1799]/[1879] Speed: 100.133961 samples/sec accuracy=57.555990 loss=1.784883 lr=0.019425 Epoch[145] Batch [1849]/[1879] Speed: 110.820809 samples/sec accuracy=57.576858 loss=1.784812 lr=0.019406 Batch [0049]/[0151]: acc-top1=51.937500 acc-top5=75.890625 Batch [0099]/[0151]: acc-top1=55.953125 acc-top5=77.968750 Batch [0149]/[0151]: acc-top1=54.781250 acc-top5=77.781250 [Epoch 145] training: accuracy=57.565943 loss=1.785605 [Epoch 145] speed: 104 samples/sec time cost: 2505.498728 [Epoch 145] validation: acc-top1=54.739238 acc-top5=77.752483 loss=1.987764 Epoch[146] Batch [0049]/[1880] Speed: 74.506580 samples/sec accuracy=58.843750 loss=1.741875 lr=0.019376 Epoch[146] Batch [0099]/[1880] Speed: 103.505912 samples/sec accuracy=58.406250 loss=1.768548 lr=0.019356 Epoch[146] Batch [0149]/[1880] Speed: 106.660109 samples/sec accuracy=58.291667 loss=1.755241 lr=0.019337 Epoch[146] Batch [0199]/[1880] Speed: 104.849867 samples/sec accuracy=58.234375 loss=1.753688 lr=0.019318 Epoch[146] Batch [0249]/[1880] Speed: 104.333238 samples/sec accuracy=58.256250 loss=1.748076 lr=0.019299 Epoch[146] Batch [0299]/[1880] Speed: 108.754903 samples/sec accuracy=58.270833 loss=1.746270 lr=0.019280 Epoch[146] Batch [0349]/[1880] Speed: 102.792604 samples/sec accuracy=58.243304 loss=1.750493 lr=0.019261 Epoch[146] Batch [0399]/[1880] Speed: 106.883292 samples/sec accuracy=58.289062 loss=1.752449 lr=0.019241 Epoch[146] Batch [0449]/[1880] Speed: 102.261568 samples/sec accuracy=58.286458 loss=1.750702 lr=0.019222 Epoch[146] Batch [0499]/[1880] Speed: 106.979749 samples/sec accuracy=58.178125 loss=1.759505 lr=0.019203 Epoch[146] Batch [0549]/[1880] Speed: 102.655446 samples/sec accuracy=58.140625 loss=1.761361 lr=0.019184 Epoch[146] Batch [0599]/[1880] Speed: 104.698884 samples/sec accuracy=58.080729 loss=1.766174 lr=0.019165 Epoch[146] Batch [0649]/[1880] Speed: 108.232537 samples/sec accuracy=58.034856 loss=1.768037 lr=0.019146 Epoch[146] Batch [0699]/[1880] Speed: 101.898225 samples/sec accuracy=58.010045 loss=1.769324 lr=0.019127 Epoch[146] Batch [0749]/[1880] Speed: 105.542635 samples/sec accuracy=57.964583 loss=1.771183 lr=0.019107 Epoch[146] Batch [0799]/[1880] Speed: 104.257236 samples/sec accuracy=57.979492 loss=1.769318 lr=0.019088 Epoch[146] Batch [0849]/[1880] Speed: 107.450127 samples/sec accuracy=57.924632 loss=1.772770 lr=0.019069 Epoch[146] Batch [0899]/[1880] Speed: 101.736653 samples/sec accuracy=57.861979 loss=1.776044 lr=0.019050 Epoch[146] Batch [0949]/[1880] Speed: 105.635085 samples/sec accuracy=57.833882 loss=1.776679 lr=0.019031 Epoch[146] Batch [0999]/[1880] Speed: 106.200333 samples/sec accuracy=57.815625 loss=1.776807 lr=0.019012 Epoch[146] Batch [1049]/[1880] Speed: 101.985706 samples/sec accuracy=57.816964 loss=1.777671 lr=0.018993 Epoch[146] Batch [1099]/[1880] Speed: 106.109747 samples/sec accuracy=57.857244 loss=1.775639 lr=0.018974 Epoch[146] Batch [1149]/[1880] Speed: 100.933876 samples/sec accuracy=57.819293 loss=1.777488 lr=0.018955 Epoch[146] Batch [1199]/[1880] Speed: 109.106374 samples/sec accuracy=57.790365 loss=1.779283 lr=0.018936 Epoch[146] Batch [1249]/[1880] Speed: 98.549275 samples/sec accuracy=57.786250 loss=1.779265 lr=0.018917 Epoch[146] Batch [1299]/[1880] Speed: 112.301870 samples/sec accuracy=57.787861 loss=1.778909 lr=0.018898 Epoch[146] Batch [1349]/[1880] Speed: 109.715230 samples/sec accuracy=57.795139 loss=1.779071 lr=0.018879 Epoch[146] Batch [1399]/[1880] Speed: 98.130357 samples/sec accuracy=57.832031 loss=1.776739 lr=0.018860 Epoch[146] Batch [1449]/[1880] Speed: 110.006053 samples/sec accuracy=57.790409 loss=1.778102 lr=0.018841 Epoch[146] Batch [1499]/[1880] Speed: 100.902357 samples/sec accuracy=57.763542 loss=1.778461 lr=0.018822 Epoch[146] Batch [1549]/[1880] Speed: 107.217421 samples/sec accuracy=57.754536 loss=1.779214 lr=0.018803 Epoch[146] Batch [1599]/[1880] Speed: 100.229148 samples/sec accuracy=57.727539 loss=1.780921 lr=0.018784 Epoch[146] Batch [1649]/[1880] Speed: 110.494505 samples/sec accuracy=57.725379 loss=1.781337 lr=0.018765 Epoch[146] Batch [1699]/[1880] Speed: 101.511967 samples/sec accuracy=57.698989 loss=1.782018 lr=0.018746 Epoch[146] Batch [1749]/[1880] Speed: 106.975496 samples/sec accuracy=57.716964 loss=1.781610 lr=0.018727 Epoch[146] Batch [1799]/[1880] Speed: 108.067570 samples/sec accuracy=57.762153 loss=1.779489 lr=0.018708 Epoch[146] Batch [1849]/[1880] Speed: 106.903652 samples/sec accuracy=57.768581 loss=1.779670 lr=0.018689 Batch [0049]/[0151]: acc-top1=53.750000 acc-top5=76.937500 Batch [0099]/[0151]: acc-top1=57.015625 acc-top5=78.914062 Batch [0149]/[0151]: acc-top1=55.489583 acc-top5=78.593750 [Epoch 146] training: accuracy=57.775931 loss=1.780129 [Epoch 146] speed: 104 samples/sec time cost: 2508.208355 [Epoch 146] validation: acc-top1=55.417012 acc-top5=78.559603 loss=1.942204 Epoch[147] Batch [0049]/[1880] Speed: 74.152919 samples/sec accuracy=59.875000 loss=1.697198 lr=0.018659 Epoch[147] Batch [0099]/[1880] Speed: 109.590180 samples/sec accuracy=58.789062 loss=1.730011 lr=0.018640 Epoch[147] Batch [0149]/[1880] Speed: 101.797178 samples/sec accuracy=58.869792 loss=1.723158 lr=0.018621 Epoch[147] Batch [0199]/[1880] Speed: 101.996608 samples/sec accuracy=58.703125 loss=1.727898 lr=0.018602 Epoch[147] Batch [0249]/[1880] Speed: 109.275543 samples/sec accuracy=58.640625 loss=1.732473 lr=0.018583 Epoch[147] Batch [0299]/[1880] Speed: 102.914904 samples/sec accuracy=58.539063 loss=1.737947 lr=0.018564 Epoch[147] Batch [0349]/[1880] Speed: 107.327216 samples/sec accuracy=58.535714 loss=1.736335 lr=0.018545 Epoch[147] Batch [0399]/[1880] Speed: 103.899937 samples/sec accuracy=58.519531 loss=1.735829 lr=0.018526 Epoch[147] Batch [0449]/[1880] Speed: 102.480248 samples/sec accuracy=58.564236 loss=1.736692 lr=0.018507 Epoch[147] Batch [0499]/[1880] Speed: 108.016135 samples/sec accuracy=58.532812 loss=1.737122 lr=0.018488 Epoch[147] Batch [0549]/[1880] Speed: 101.657178 samples/sec accuracy=58.521307 loss=1.734397 lr=0.018470 Epoch[147] Batch [0599]/[1880] Speed: 107.945893 samples/sec accuracy=58.466146 loss=1.735484 lr=0.018451 Epoch[147] Batch [0649]/[1880] Speed: 105.280580 samples/sec accuracy=58.441106 loss=1.736385 lr=0.018432 Epoch[147] Batch [0699]/[1880] Speed: 102.979800 samples/sec accuracy=58.465402 loss=1.736867 lr=0.018413 Epoch[147] Batch [0749]/[1880] Speed: 109.614380 samples/sec accuracy=58.507292 loss=1.735705 lr=0.018394 Epoch[147] Batch [0799]/[1880] Speed: 99.746822 samples/sec accuracy=58.504883 loss=1.736205 lr=0.018375 Epoch[147] Batch [0849]/[1880] Speed: 109.580467 samples/sec accuracy=58.530331 loss=1.734250 lr=0.018357 Epoch[147] Batch [0899]/[1880] Speed: 98.897416 samples/sec accuracy=58.528646 loss=1.734884 lr=0.018338 Epoch[147] Batch [0949]/[1880] Speed: 109.245086 samples/sec accuracy=58.527138 loss=1.736783 lr=0.018319 Epoch[147] Batch [0999]/[1880] Speed: 104.498732 samples/sec accuracy=58.521875 loss=1.737785 lr=0.018300 Epoch[147] Batch [1049]/[1880] Speed: 105.897603 samples/sec accuracy=58.491071 loss=1.738858 lr=0.018281 Epoch[147] Batch [1099]/[1880] Speed: 102.720060 samples/sec accuracy=58.514205 loss=1.738230 lr=0.018263 Epoch[147] Batch [1149]/[1880] Speed: 108.096894 samples/sec accuracy=58.495924 loss=1.739291 lr=0.018244 Epoch[147] Batch [1199]/[1880] Speed: 99.885341 samples/sec accuracy=58.484375 loss=1.740504 lr=0.018225 Epoch[147] Batch [1249]/[1880] Speed: 110.166726 samples/sec accuracy=58.461875 loss=1.741302 lr=0.018206 Epoch[147] Batch [1299]/[1880] Speed: 109.886293 samples/sec accuracy=58.433894 loss=1.742754 lr=0.018187 Epoch[147] Batch [1349]/[1880] Speed: 98.581216 samples/sec accuracy=58.407986 loss=1.744891 lr=0.018169 Epoch[147] Batch [1399]/[1880] Speed: 111.774715 samples/sec accuracy=58.419643 loss=1.744893 lr=0.018150 Epoch[147] Batch [1449]/[1880] Speed: 100.706847 samples/sec accuracy=58.422953 loss=1.744890 lr=0.018131 Epoch[147] Batch [1499]/[1880] Speed: 110.449309 samples/sec accuracy=58.425000 loss=1.745133 lr=0.018113 Epoch[147] Batch [1549]/[1880] Speed: 97.032438 samples/sec accuracy=58.424899 loss=1.745726 lr=0.018094 Epoch[147] Batch [1599]/[1880] Speed: 110.466635 samples/sec accuracy=58.468262 loss=1.744693 lr=0.018075 Epoch[147] Batch [1649]/[1880] Speed: 101.238409 samples/sec accuracy=58.454072 loss=1.745266 lr=0.018056 Epoch[147] Batch [1699]/[1880] Speed: 104.682097 samples/sec accuracy=58.422335 loss=1.746700 lr=0.018038 Epoch[147] Batch [1749]/[1880] Speed: 110.448144 samples/sec accuracy=58.407143 loss=1.747536 lr=0.018019 Epoch[147] Batch [1799]/[1880] Speed: 99.649931 samples/sec accuracy=58.377170 loss=1.748580 lr=0.018000 Epoch[147] Batch [1849]/[1880] Speed: 107.653780 samples/sec accuracy=58.342905 loss=1.749366 lr=0.017982 Batch [0049]/[0151]: acc-top1=53.171875 acc-top5=77.000000 Batch [0099]/[0151]: acc-top1=56.406250 acc-top5=78.835938 Batch [0149]/[0151]: acc-top1=55.416667 acc-top5=78.494792 [Epoch 147] training: accuracy=58.348570 loss=1.749471 [Epoch 147] speed: 104 samples/sec time cost: 2505.650597 [Epoch 147] validation: acc-top1=55.385969 acc-top5=78.466474 loss=1.953087 Epoch[148] Batch [0049]/[1880] Speed: 74.395892 samples/sec accuracy=59.343750 loss=1.721178 lr=0.017952 Epoch[148] Batch [0099]/[1880] Speed: 106.932229 samples/sec accuracy=58.734375 loss=1.720996 lr=0.017933 Epoch[148] Batch [0149]/[1880] Speed: 102.638689 samples/sec accuracy=59.161458 loss=1.705133 lr=0.017915 Epoch[148] Batch [0199]/[1880] Speed: 105.622400 samples/sec accuracy=59.179688 loss=1.705124 lr=0.017896 Epoch[148] Batch [0249]/[1880] Speed: 105.319346 samples/sec accuracy=59.240625 loss=1.702008 lr=0.017877 Epoch[148] Batch [0299]/[1880] Speed: 104.133155 samples/sec accuracy=59.276042 loss=1.697545 lr=0.017859 Epoch[148] Batch [0349]/[1880] Speed: 105.937994 samples/sec accuracy=59.316964 loss=1.701038 lr=0.017840 Epoch[148] Batch [0399]/[1880] Speed: 101.697792 samples/sec accuracy=59.417969 loss=1.698107 lr=0.017821 Epoch[148] Batch [0449]/[1880] Speed: 106.195089 samples/sec accuracy=59.538194 loss=1.697352 lr=0.017803 Epoch[148] Batch [0499]/[1880] Speed: 107.023822 samples/sec accuracy=59.417188 loss=1.701977 lr=0.017784 Epoch[148] Batch [0549]/[1880] Speed: 101.674616 samples/sec accuracy=59.441761 loss=1.701346 lr=0.017766 Epoch[148] Batch [0599]/[1880] Speed: 107.632747 samples/sec accuracy=59.404948 loss=1.703087 lr=0.017747 Epoch[148] Batch [0649]/[1880] Speed: 101.223095 samples/sec accuracy=59.332933 loss=1.707976 lr=0.017729 Epoch[148] Batch [0699]/[1880] Speed: 108.920945 samples/sec accuracy=59.366071 loss=1.708704 lr=0.017710 Epoch[148] Batch [0749]/[1880] Speed: 99.098389 samples/sec accuracy=59.280208 loss=1.710822 lr=0.017691 Epoch[148] Batch [0799]/[1880] Speed: 109.841950 samples/sec accuracy=59.213867 loss=1.714675 lr=0.017673 Epoch[148] Batch [0849]/[1880] Speed: 105.370895 samples/sec accuracy=59.190257 loss=1.715735 lr=0.017654 Epoch[148] Batch [0899]/[1880] Speed: 102.337832 samples/sec accuracy=59.153646 loss=1.717429 lr=0.017636 Epoch[148] Batch [0949]/[1880] Speed: 111.606576 samples/sec accuracy=59.104441 loss=1.719285 lr=0.017617 Epoch[148] Batch [0999]/[1880] Speed: 97.415601 samples/sec accuracy=59.138281 loss=1.717713 lr=0.017599 Epoch[148] Batch [1049]/[1880] Speed: 109.192184 samples/sec accuracy=59.116815 loss=1.718841 lr=0.017580 Epoch[148] Batch [1099]/[1880] Speed: 102.016380 samples/sec accuracy=59.066761 loss=1.720740 lr=0.017562 Epoch[148] Batch [1149]/[1880] Speed: 106.391994 samples/sec accuracy=59.065897 loss=1.722411 lr=0.017543 Epoch[148] Batch [1199]/[1880] Speed: 100.445324 samples/sec accuracy=59.093750 loss=1.721799 lr=0.017525 Epoch[148] Batch [1249]/[1880] Speed: 108.690141 samples/sec accuracy=59.070000 loss=1.722530 lr=0.017506 Epoch[148] Batch [1299]/[1880] Speed: 102.265528 samples/sec accuracy=58.999399 loss=1.725480 lr=0.017488 Epoch[148] Batch [1349]/[1880] Speed: 108.264906 samples/sec accuracy=58.970486 loss=1.727376 lr=0.017469 Epoch[148] Batch [1399]/[1880] Speed: 105.488402 samples/sec accuracy=58.960379 loss=1.727905 lr=0.017451 Epoch[148] Batch [1449]/[1880] Speed: 104.361302 samples/sec accuracy=58.946659 loss=1.728091 lr=0.017433 Epoch[148] Batch [1499]/[1880] Speed: 103.913204 samples/sec accuracy=58.928646 loss=1.729259 lr=0.017414 Epoch[148] Batch [1549]/[1880] Speed: 103.608965 samples/sec accuracy=58.901210 loss=1.730817 lr=0.017396 Epoch[148] Batch [1599]/[1880] Speed: 106.893974 samples/sec accuracy=58.868652 loss=1.732540 lr=0.017377 Epoch[148] Batch [1649]/[1880] Speed: 103.301795 samples/sec accuracy=58.835227 loss=1.733424 lr=0.017359 Epoch[148] Batch [1699]/[1880] Speed: 106.469404 samples/sec accuracy=58.809283 loss=1.734349 lr=0.017340 Epoch[148] Batch [1749]/[1880] Speed: 102.820478 samples/sec accuracy=58.790625 loss=1.734561 lr=0.017322 Epoch[148] Batch [1799]/[1880] Speed: 106.790805 samples/sec accuracy=58.806858 loss=1.733467 lr=0.017304 Epoch[148] Batch [1849]/[1880] Speed: 104.568819 samples/sec accuracy=58.795186 loss=1.734351 lr=0.017285 Batch [0049]/[0151]: acc-top1=51.734375 acc-top5=74.937500 Batch [0099]/[0151]: acc-top1=55.695313 acc-top5=77.539062 Batch [0149]/[0151]: acc-top1=54.307292 acc-top5=77.307292 [Epoch 148] training: accuracy=58.778674 loss=1.735346 [Epoch 148] speed: 104 samples/sec time cost: 2509.702871 [Epoch 148] validation: acc-top1=54.221854 acc-top5=77.266142 loss=2.021945 Epoch[149] Batch [0049]/[1880] Speed: 74.442207 samples/sec accuracy=59.421875 loss=1.672414 lr=0.017256 Epoch[149] Batch [0099]/[1880] Speed: 103.482813 samples/sec accuracy=59.515625 loss=1.686427 lr=0.017238 Epoch[149] Batch [0149]/[1880] Speed: 106.081238 samples/sec accuracy=59.531250 loss=1.686088 lr=0.017219 Epoch[149] Batch [0199]/[1880] Speed: 99.752185 samples/sec accuracy=59.503906 loss=1.686809 lr=0.017201 Epoch[149] Batch [0249]/[1880] Speed: 109.577302 samples/sec accuracy=59.259375 loss=1.690454 lr=0.017182 Epoch[149] Batch [0299]/[1880] Speed: 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loss=1.710228 lr=0.017000 Epoch[149] Batch [0799]/[1880] Speed: 99.638120 samples/sec accuracy=59.163086 loss=1.710743 lr=0.016981 Epoch[149] Batch [0849]/[1880] Speed: 110.578382 samples/sec accuracy=59.174632 loss=1.711304 lr=0.016963 Epoch[149] Batch [0899]/[1880] Speed: 102.771347 samples/sec accuracy=59.216146 loss=1.711263 lr=0.016945 Epoch[149] Batch [0949]/[1880] Speed: 101.740837 samples/sec accuracy=59.141447 loss=1.714657 lr=0.016927 Epoch[149] Batch [0999]/[1880] Speed: 110.049701 samples/sec accuracy=59.069531 loss=1.716437 lr=0.016908 Epoch[149] Batch [1049]/[1880] Speed: 98.669535 samples/sec accuracy=59.067708 loss=1.717336 lr=0.016890 Epoch[149] Batch [1099]/[1880] Speed: 109.519253 samples/sec accuracy=59.080256 loss=1.717269 lr=0.016872 Epoch[149] Batch [1149]/[1880] Speed: 105.139430 samples/sec accuracy=59.086957 loss=1.718001 lr=0.016854 Epoch[149] Batch [1199]/[1880] Speed: 105.329677 samples/sec accuracy=59.113281 loss=1.717324 lr=0.016836 Epoch[149] Batch [1249]/[1880] Speed: 106.181271 samples/sec accuracy=59.121250 loss=1.717087 lr=0.016817 Epoch[149] Batch [1299]/[1880] Speed: 104.026896 samples/sec accuracy=59.099760 loss=1.718760 lr=0.016799 Epoch[149] Batch [1349]/[1880] Speed: 103.817318 samples/sec accuracy=59.088542 loss=1.719384 lr=0.016781 Epoch[149] Batch [1399]/[1880] Speed: 106.095653 samples/sec accuracy=59.090402 loss=1.720311 lr=0.016763 Epoch[149] Batch [1449]/[1880] Speed: 104.782023 samples/sec accuracy=59.081897 loss=1.721072 lr=0.016745 Epoch[149] Batch [1499]/[1880] Speed: 101.112578 samples/sec accuracy=59.044271 loss=1.721429 lr=0.016727 Epoch[149] Batch [1549]/[1880] Speed: 107.181142 samples/sec accuracy=59.037298 loss=1.721573 lr=0.016708 Epoch[149] Batch [1599]/[1880] Speed: 102.716497 samples/sec accuracy=59.064941 loss=1.720608 lr=0.016690 Epoch[149] Batch [1649]/[1880] Speed: 105.309204 samples/sec accuracy=59.017992 loss=1.721753 lr=0.016672 Epoch[149] Batch [1699]/[1880] Speed: 109.380550 samples/sec accuracy=58.995864 loss=1.722647 lr=0.016654 Epoch[149] Batch [1749]/[1880] Speed: 103.408262 samples/sec accuracy=58.989732 loss=1.722079 lr=0.016636 Epoch[149] Batch [1799]/[1880] Speed: 101.738520 samples/sec accuracy=59.006510 loss=1.722280 lr=0.016618 Epoch[149] Batch [1849]/[1880] Speed: 107.734008 samples/sec accuracy=59.007179 loss=1.722465 lr=0.016600 Batch [0049]/[0151]: acc-top1=54.171875 acc-top5=76.593750 Batch [0099]/[0151]: acc-top1=57.656250 acc-top5=79.156250 Batch [0149]/[0151]: acc-top1=55.921875 acc-top5=78.666667 [Epoch 149] training: accuracy=58.986453 loss=1.723296 [Epoch 149] speed: 104 samples/sec time cost: 2512.854477 [Epoch 149] validation: acc-top1=55.836093 acc-top5=78.621689 loss=1.951408 Epoch[150] Batch [0049]/[1880] Speed: 74.794066 samples/sec accuracy=60.515625 loss=1.666131 lr=0.016571 Epoch[150] Batch [0099]/[1880] Speed: 108.848345 samples/sec accuracy=60.828125 loss=1.650772 lr=0.016553 Epoch[150] Batch [0149]/[1880] Speed: 100.936322 samples/sec accuracy=60.640625 loss=1.656984 lr=0.016535 Epoch[150] Batch [0199]/[1880] Speed: 106.971296 samples/sec accuracy=60.578125 loss=1.656428 lr=0.016517 Epoch[150] Batch [0249]/[1880] Speed: 104.718745 samples/sec accuracy=60.537500 loss=1.654236 lr=0.016499 Epoch[150] Batch [0299]/[1880] Speed: 105.300696 samples/sec accuracy=60.377604 loss=1.658969 lr=0.016481 Epoch[150] Batch [0349]/[1880] Speed: 107.582406 samples/sec accuracy=60.305804 loss=1.659976 lr=0.016463 Epoch[150] Batch [0399]/[1880] Speed: 102.318669 samples/sec accuracy=60.173828 loss=1.665367 lr=0.016445 Epoch[150] Batch [0449]/[1880] Speed: 103.331321 samples/sec accuracy=60.052083 loss=1.671658 lr=0.016427 Epoch[150] Batch [0499]/[1880] Speed: 104.577906 samples/sec accuracy=59.943750 loss=1.677519 lr=0.016409 Epoch[150] Batch [0549]/[1880] Speed: 106.470056 samples/sec accuracy=59.901989 loss=1.679843 lr=0.016391 Epoch[150] Batch [0599]/[1880] Speed: 106.416812 samples/sec accuracy=59.942708 loss=1.679325 lr=0.016373 Epoch[150] Batch [0649]/[1880] Speed: 105.252981 samples/sec accuracy=59.969952 loss=1.678743 lr=0.016355 Epoch[150] Batch [0699]/[1880] Speed: 102.573725 samples/sec accuracy=59.964286 loss=1.677895 lr=0.016337 Epoch[150] Batch [0749]/[1880] Speed: 104.556756 samples/sec accuracy=59.926042 loss=1.681622 lr=0.016319 Epoch[150] Batch [0799]/[1880] Speed: 105.516624 samples/sec accuracy=59.837891 loss=1.685237 lr=0.016301 Epoch[150] Batch [0849]/[1880] Speed: 102.769717 samples/sec accuracy=59.873162 loss=1.683689 lr=0.016283 Epoch[150] Batch [0899]/[1880] Speed: 107.572981 samples/sec accuracy=59.815972 loss=1.686185 lr=0.016265 Epoch[150] Batch [0949]/[1880] Speed: 105.697652 samples/sec accuracy=59.826480 loss=1.685217 lr=0.016247 Epoch[150] Batch [0999]/[1880] Speed: 103.419175 samples/sec accuracy=59.796094 loss=1.686432 lr=0.016229 Epoch[150] Batch [1049]/[1880] Speed: 108.595703 samples/sec accuracy=59.770833 loss=1.687548 lr=0.016211 Epoch[150] Batch [1099]/[1880] Speed: 102.661723 samples/sec accuracy=59.789062 loss=1.686731 lr=0.016193 Epoch[150] Batch [1149]/[1880] Speed: 105.948865 samples/sec accuracy=59.808424 loss=1.685849 lr=0.016175 Epoch[150] Batch [1199]/[1880] Speed: 105.934286 samples/sec accuracy=59.825521 loss=1.686023 lr=0.016157 Epoch[150] Batch [1249]/[1880] Speed: 103.702502 samples/sec accuracy=59.765000 loss=1.687235 lr=0.016139 Epoch[150] Batch [1299]/[1880] Speed: 105.171816 samples/sec accuracy=59.712740 loss=1.688123 lr=0.016122 Epoch[150] Batch [1349]/[1880] Speed: 107.343395 samples/sec accuracy=59.703125 loss=1.688395 lr=0.016104 Epoch[150] Batch [1399]/[1880] Speed: 102.188047 samples/sec accuracy=59.671875 loss=1.690461 lr=0.016086 Epoch[150] Batch [1449]/[1880] Speed: 105.792306 samples/sec accuracy=59.625000 loss=1.692551 lr=0.016068 Epoch[150] Batch [1499]/[1880] Speed: 99.820323 samples/sec accuracy=59.600521 loss=1.693638 lr=0.016050 Epoch[150] Batch [1549]/[1880] Speed: 109.586099 samples/sec accuracy=59.610887 loss=1.693449 lr=0.016032 Epoch[150] Batch [1599]/[1880] Speed: 102.729311 samples/sec accuracy=59.628418 loss=1.692944 lr=0.016014 Epoch[150] Batch [1649]/[1880] Speed: 103.635433 samples/sec accuracy=59.611269 loss=1.693662 lr=0.015997 Epoch[150] Batch [1699]/[1880] Speed: 108.593985 samples/sec accuracy=59.575368 loss=1.694992 lr=0.015979 Epoch[150] Batch [1749]/[1880] Speed: 103.773842 samples/sec accuracy=59.537054 loss=1.696544 lr=0.015961 Epoch[150] Batch [1799]/[1880] Speed: 104.436136 samples/sec accuracy=59.526476 loss=1.696760 lr=0.015943 Epoch[150] Batch [1849]/[1880] Speed: 102.438674 samples/sec accuracy=59.492821 loss=1.697863 lr=0.015925 Batch [0049]/[0151]: acc-top1=52.968750 acc-top5=76.687500 Batch [0099]/[0151]: acc-top1=57.195312 acc-top5=79.039062 Batch [0149]/[0151]: acc-top1=55.765625 acc-top5=78.687500 [Epoch 150] training: accuracy=59.489694 loss=1.698055 [Epoch 150] speed: 104 samples/sec time cost: 2507.930830 [Epoch 150] validation: acc-top1=55.701573 acc-top5=78.637210 loss=1.957946 Epoch[151] Batch [0049]/[1879] Speed: 74.928459 samples/sec accuracy=61.562500 loss=1.619883 lr=0.015897 Epoch[151] Batch [0099]/[1879] Speed: 108.400962 samples/sec accuracy=60.882813 loss=1.637094 lr=0.015879 Epoch[151] Batch [0149]/[1879] Speed: 98.673096 samples/sec accuracy=60.520833 loss=1.645475 lr=0.015861 Epoch[151] Batch [0199]/[1879] Speed: 107.661635 samples/sec accuracy=60.660156 loss=1.641680 lr=0.015844 Epoch[151] Batch [0249]/[1879] Speed: 103.981704 samples/sec accuracy=60.593750 loss=1.641001 lr=0.015826 Epoch[151] Batch [0299]/[1879] Speed: 104.462049 samples/sec accuracy=60.445312 loss=1.645099 lr=0.015808 Epoch[151] Batch [0349]/[1879] Speed: 109.609740 samples/sec accuracy=60.348214 loss=1.647373 lr=0.015790 Epoch[151] Batch [0399]/[1879] Speed: 100.061621 samples/sec accuracy=60.337891 loss=1.652535 lr=0.015773 Epoch[151] Batch [0449]/[1879] Speed: 106.364470 samples/sec accuracy=60.208333 loss=1.656982 lr=0.015755 Epoch[151] Batch [0499]/[1879] Speed: 103.157402 samples/sec accuracy=60.225000 loss=1.658167 lr=0.015737 Epoch[151] Batch [0549]/[1879] Speed: 106.030385 samples/sec accuracy=60.096591 loss=1.665050 lr=0.015720 Epoch[151] Batch [0599]/[1879] Speed: 105.171481 samples/sec accuracy=59.997396 loss=1.669019 lr=0.015702 Epoch[151] Batch [0649]/[1879] Speed: 104.810110 samples/sec accuracy=59.947115 loss=1.669324 lr=0.015684 Epoch[151] Batch [0699]/[1879] Speed: 104.702797 samples/sec accuracy=59.896205 loss=1.672449 lr=0.015667 Epoch[151] Batch [0749]/[1879] Speed: 101.665965 samples/sec accuracy=59.830208 loss=1.675581 lr=0.015649 Epoch[151] Batch [0799]/[1879] Speed: 106.600522 samples/sec accuracy=59.764648 loss=1.677576 lr=0.015631 Epoch[151] Batch [0849]/[1879] Speed: 105.377690 samples/sec accuracy=59.816176 loss=1.678103 lr=0.015614 Epoch[151] Batch [0899]/[1879] Speed: 107.181764 samples/sec accuracy=59.779514 loss=1.678995 lr=0.015596 Epoch[151] Batch [0949]/[1879] Speed: 102.909788 samples/sec accuracy=59.754112 loss=1.679942 lr=0.015578 Epoch[151] Batch [0999]/[1879] Speed: 102.249257 samples/sec accuracy=59.728125 loss=1.680694 lr=0.015561 Epoch[151] Batch [1049]/[1879] Speed: 108.713866 samples/sec accuracy=59.741815 loss=1.680932 lr=0.015543 Epoch[151] Batch [1099]/[1879] Speed: 102.128379 samples/sec accuracy=59.718040 loss=1.681260 lr=0.015526 Epoch[151] Batch [1149]/[1879] Speed: 105.673438 samples/sec accuracy=59.749321 loss=1.680583 lr=0.015508 Epoch[151] Batch [1199]/[1879] Speed: 103.815379 samples/sec accuracy=59.770833 loss=1.680752 lr=0.015490 Epoch[151] Batch [1249]/[1879] Speed: 103.949405 samples/sec accuracy=59.781250 loss=1.681155 lr=0.015473 Epoch[151] Batch [1299]/[1879] Speed: 107.449195 samples/sec accuracy=59.783654 loss=1.681894 lr=0.015455 Epoch[151] Batch [1349]/[1879] Speed: 106.686112 samples/sec accuracy=59.819444 loss=1.681759 lr=0.015438 Epoch[151] Batch [1399]/[1879] Speed: 105.542168 samples/sec accuracy=59.821987 loss=1.681555 lr=0.015420 Epoch[151] Batch [1449]/[1879] Speed: 104.421231 samples/sec accuracy=59.824353 loss=1.682108 lr=0.015403 Epoch[151] Batch [1499]/[1879] Speed: 102.717482 samples/sec accuracy=59.820833 loss=1.682992 lr=0.015385 Epoch[151] Batch [1549]/[1879] Speed: 107.508206 samples/sec accuracy=59.830645 loss=1.683266 lr=0.015367 Epoch[151] Batch [1599]/[1879] Speed: 103.599764 samples/sec accuracy=59.808594 loss=1.683991 lr=0.015350 Epoch[151] Batch [1649]/[1879] Speed: 98.795727 samples/sec accuracy=59.808239 loss=1.683899 lr=0.015332 Epoch[151] Batch [1699]/[1879] Speed: 110.628544 samples/sec accuracy=59.800092 loss=1.683219 lr=0.015315 Epoch[151] Batch [1749]/[1879] Speed: 103.344226 samples/sec accuracy=59.778571 loss=1.684319 lr=0.015297 Epoch[151] Batch [1799]/[1879] Speed: 104.742544 samples/sec accuracy=59.755208 loss=1.684790 lr=0.015280 Epoch[151] Batch [1849]/[1879] Speed: 105.405812 samples/sec accuracy=59.727196 loss=1.686241 lr=0.015262 Batch [0049]/[0151]: acc-top1=53.406250 acc-top5=76.796875 Batch [0099]/[0151]: acc-top1=57.570312 acc-top5=79.226562 Batch [0149]/[0151]: acc-top1=56.286458 acc-top5=78.963542 [Epoch 151] training: accuracy=59.697645 loss=1.687272 [Epoch 151] speed: 104 samples/sec time cost: 2510.165791 [Epoch 151] validation: acc-top1=56.208609 acc-top5=78.921772 loss=1.948782 Epoch[152] Batch [0049]/[1880] Speed: 76.046838 samples/sec accuracy=60.031250 loss=1.657378 lr=0.015235 Epoch[152] Batch [0099]/[1880] Speed: 103.283509 samples/sec accuracy=60.484375 loss=1.646087 lr=0.015217 Epoch[152] Batch [0149]/[1880] Speed: 104.817012 samples/sec accuracy=60.442708 loss=1.654770 lr=0.015200 Epoch[152] Batch [0199]/[1880] Speed: 106.602366 samples/sec accuracy=60.601562 loss=1.653622 lr=0.015182 Epoch[152] Batch [0249]/[1880] Speed: 104.308921 samples/sec accuracy=60.493750 loss=1.655259 lr=0.015165 Epoch[152] Batch [0299]/[1880] Speed: 105.230205 samples/sec accuracy=60.575521 loss=1.652865 lr=0.015148 Epoch[152] Batch 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accuracy=60.379883 loss=1.658979 lr=0.014974 Epoch[152] Batch [0849]/[1880] Speed: 100.235533 samples/sec accuracy=60.368566 loss=1.659090 lr=0.014956 Epoch[152] Batch [0899]/[1880] Speed: 110.640839 samples/sec accuracy=60.342882 loss=1.658687 lr=0.014939 Epoch[152] Batch [0949]/[1880] Speed: 106.187284 samples/sec accuracy=60.333059 loss=1.658716 lr=0.014922 Epoch[152] Batch [0999]/[1880] Speed: 98.823587 samples/sec accuracy=60.363281 loss=1.658408 lr=0.014904 Epoch[152] Batch [1049]/[1880] Speed: 110.607582 samples/sec accuracy=60.395089 loss=1.657635 lr=0.014887 Epoch[152] Batch [1099]/[1880] Speed: 102.190808 samples/sec accuracy=60.336648 loss=1.661346 lr=0.014870 Epoch[152] Batch [1149]/[1880] Speed: 106.010835 samples/sec accuracy=60.385190 loss=1.659398 lr=0.014853 Epoch[152] Batch [1199]/[1880] Speed: 106.889562 samples/sec accuracy=60.383464 loss=1.660028 lr=0.014835 Epoch[152] Batch [1249]/[1880] Speed: 103.711940 samples/sec accuracy=60.375000 loss=1.660594 lr=0.014818 Epoch[152] Batch [1299]/[1880] Speed: 102.952432 samples/sec accuracy=60.299279 loss=1.662872 lr=0.014801 Epoch[152] Batch [1349]/[1880] Speed: 105.977808 samples/sec accuracy=60.279514 loss=1.662649 lr=0.014784 Epoch[152] Batch [1399]/[1880] Speed: 105.104081 samples/sec accuracy=60.283482 loss=1.662117 lr=0.014766 Epoch[152] Batch [1449]/[1880] Speed: 108.563659 samples/sec accuracy=60.250539 loss=1.663690 lr=0.014749 Epoch[152] Batch [1499]/[1880] Speed: 98.650569 samples/sec accuracy=60.238542 loss=1.664780 lr=0.014732 Epoch[152] Batch [1549]/[1880] Speed: 109.369495 samples/sec accuracy=60.195565 loss=1.665908 lr=0.014715 Epoch[152] Batch [1599]/[1880] Speed: 98.406867 samples/sec accuracy=60.172852 loss=1.667735 lr=0.014697 Epoch[152] Batch [1649]/[1880] Speed: 108.946485 samples/sec accuracy=60.156723 loss=1.668214 lr=0.014680 Epoch[152] Batch [1699]/[1880] Speed: 106.702365 samples/sec accuracy=60.179688 loss=1.667035 lr=0.014663 Epoch[152] Batch [1749]/[1880] Speed: 103.984865 samples/sec accuracy=60.165179 loss=1.668289 lr=0.014646 Epoch[152] Batch [1799]/[1880] Speed: 106.762153 samples/sec accuracy=60.138455 loss=1.670038 lr=0.014629 Epoch[152] Batch [1849]/[1880] Speed: 103.176427 samples/sec accuracy=60.162162 loss=1.669704 lr=0.014611 Batch [0049]/[0151]: acc-top1=52.734375 acc-top5=77.546875 Batch [0099]/[0151]: acc-top1=57.218750 acc-top5=79.718750 Batch [0149]/[0151]: acc-top1=56.067708 acc-top5=79.223958 [Epoch 152] training: accuracy=60.150017 loss=1.669675 [Epoch 152] speed: 104 samples/sec time cost: 2509.648468 [Epoch 152] validation: acc-top1=55.980960 acc-top5=79.164942 loss=1.934682 Epoch[153] Batch [0049]/[1880] Speed: 73.592828 samples/sec accuracy=62.031250 loss=1.587949 lr=0.014584 Epoch[153] Batch [0099]/[1880] Speed: 105.634013 samples/sec accuracy=61.851562 loss=1.598038 lr=0.014567 Epoch[153] Batch [0149]/[1880] Speed: 108.991554 samples/sec accuracy=61.359375 loss=1.615536 lr=0.014550 Epoch[153] Batch [0199]/[1880] Speed: 98.070733 samples/sec accuracy=61.230469 loss=1.613016 lr=0.014533 Epoch[153] Batch [0249]/[1880] Speed: 108.292639 samples/sec accuracy=61.156250 loss=1.612401 lr=0.014515 Epoch[153] Batch [0299]/[1880] Speed: 106.287977 samples/sec accuracy=61.067708 loss=1.616355 lr=0.014498 Epoch[153] Batch [0349]/[1880] Speed: 103.914170 samples/sec accuracy=60.955357 loss=1.623937 lr=0.014481 Epoch[153] Batch [0399]/[1880] Speed: 107.030805 samples/sec accuracy=60.871094 loss=1.627412 lr=0.014464 Epoch[153] Batch [0449]/[1880] Speed: 100.356521 samples/sec accuracy=60.942708 loss=1.624680 lr=0.014447 Epoch[153] Batch [0499]/[1880] Speed: 108.941866 samples/sec accuracy=60.856250 loss=1.628614 lr=0.014430 Epoch[153] Batch [0549]/[1880] Speed: 100.992322 samples/sec accuracy=60.938920 loss=1.625496 lr=0.014413 Epoch[153] Batch [0599]/[1880] Speed: 109.117137 samples/sec accuracy=60.811198 loss=1.630757 lr=0.014396 Epoch[153] Batch [0649]/[1880] Speed: 101.203438 samples/sec accuracy=60.877404 loss=1.628901 lr=0.014379 Epoch[153] Batch [0699]/[1880] Speed: 107.241525 samples/sec accuracy=60.808036 loss=1.631980 lr=0.014362 Epoch[153] Batch [0749]/[1880] Speed: 105.375400 samples/sec accuracy=60.854167 loss=1.630955 lr=0.014345 Epoch[153] Batch [0799]/[1880] Speed: 105.748881 samples/sec accuracy=60.854492 loss=1.632155 lr=0.014328 Epoch[153] Batch [0849]/[1880] Speed: 102.598777 samples/sec accuracy=60.881434 loss=1.632851 lr=0.014311 Epoch[153] Batch [0899]/[1880] Speed: 104.274975 samples/sec accuracy=60.873264 loss=1.633748 lr=0.014294 Epoch[153] Batch [0949]/[1880] Speed: 107.502849 samples/sec accuracy=60.796875 loss=1.635192 lr=0.014277 Epoch[153] Batch [0999]/[1880] Speed: 103.482513 samples/sec accuracy=60.776562 loss=1.635769 lr=0.014260 Epoch[153] Batch [1049]/[1880] Speed: 106.040860 samples/sec accuracy=60.735119 loss=1.637945 lr=0.014243 Epoch[153] Batch [1099]/[1880] Speed: 105.396167 samples/sec accuracy=60.723011 loss=1.638786 lr=0.014226 Epoch[153] Batch [1149]/[1880] Speed: 106.110671 samples/sec accuracy=60.682065 loss=1.640395 lr=0.014209 Epoch[153] Batch [1199]/[1880] Speed: 99.604871 samples/sec accuracy=60.628255 loss=1.642499 lr=0.014192 Epoch[153] Batch [1249]/[1880] Speed: 108.639230 samples/sec accuracy=60.565000 loss=1.645138 lr=0.014175 Epoch[153] Batch [1299]/[1880] Speed: 104.204426 samples/sec accuracy=60.575721 loss=1.644360 lr=0.014158 Epoch[153] Batch [1349]/[1880] Speed: 104.528510 samples/sec accuracy=60.572338 loss=1.645215 lr=0.014141 Epoch[153] Batch [1399]/[1880] Speed: 110.556878 samples/sec accuracy=60.565290 loss=1.645526 lr=0.014124 Epoch[153] Batch [1449]/[1880] Speed: 98.166546 samples/sec accuracy=60.566810 loss=1.645611 lr=0.014107 Epoch[153] Batch [1499]/[1880] Speed: 109.560031 samples/sec accuracy=60.538542 loss=1.646613 lr=0.014090 Epoch[153] Batch [1549]/[1880] Speed: 102.268362 samples/sec accuracy=60.511089 loss=1.648256 lr=0.014073 Epoch[153] Batch [1599]/[1880] Speed: 107.698958 samples/sec accuracy=60.487793 loss=1.649704 lr=0.014056 Epoch[153] Batch [1649]/[1880] Speed: 101.756921 samples/sec accuracy=60.481534 loss=1.650631 lr=0.014039 Epoch[153] Batch [1699]/[1880] Speed: 105.193740 samples/sec accuracy=60.485754 loss=1.651020 lr=0.014022 Epoch[153] Batch [1749]/[1880] Speed: 105.106121 samples/sec accuracy=60.466518 loss=1.651865 lr=0.014006 Epoch[153] Batch [1799]/[1880] Speed: 101.754877 samples/sec accuracy=60.461372 loss=1.652094 lr=0.013989 Epoch[153] Batch [1849]/[1880] Speed: 111.115491 samples/sec accuracy=60.475929 loss=1.651908 lr=0.013972 Batch [0049]/[0151]: acc-top1=54.343750 acc-top5=77.890625 Batch [0099]/[0151]: acc-top1=58.125000 acc-top5=79.937500 Batch [0149]/[0151]: acc-top1=56.713542 acc-top5=79.458333 [Epoch 153] training: accuracy=60.467088 loss=1.652374 [Epoch 153] speed: 104 samples/sec time cost: 2509.989696 [Epoch 153] validation: acc-top1=56.627690 acc-top5=79.439156 loss=1.919423 Epoch[154] Batch [0049]/[1880] Speed: 73.905986 samples/sec accuracy=60.687500 loss=1.647303 lr=0.013945 Epoch[154] Batch [0099]/[1880] Speed: 107.532795 samples/sec accuracy=61.156250 loss=1.629519 lr=0.013928 Epoch[154] Batch [0149]/[1880] Speed: 103.753945 samples/sec accuracy=61.645833 loss=1.606455 lr=0.013911 Epoch[154] Batch [0199]/[1880] Speed: 106.918421 samples/sec accuracy=61.609375 loss=1.605948 lr=0.013894 Epoch[154] Batch [0249]/[1880] Speed: 104.473806 samples/sec accuracy=61.650000 loss=1.605866 lr=0.013878 Epoch[154] Batch [0299]/[1880] Speed: 101.229076 samples/sec accuracy=61.640625 loss=1.602634 lr=0.013861 Epoch[154] Batch [0349]/[1880] Speed: 109.014602 samples/sec accuracy=61.546875 loss=1.605282 lr=0.013844 Epoch[154] Batch [0399]/[1880] Speed: 103.207518 samples/sec accuracy=61.400391 loss=1.608840 lr=0.013827 Epoch[154] Batch [0449]/[1880] Speed: 103.345264 samples/sec accuracy=61.449653 loss=1.604839 lr=0.013810 Epoch[154] Batch [0499]/[1880] Speed: 108.293885 samples/sec accuracy=61.382812 loss=1.608626 lr=0.013794 Epoch[154] Batch [0549]/[1880] Speed: 103.524513 samples/sec accuracy=61.382102 loss=1.610081 lr=0.013777 Epoch[154] Batch [0599]/[1880] Speed: 105.328250 samples/sec accuracy=61.278646 loss=1.615449 lr=0.013760 Epoch[154] Batch [0649]/[1880] Speed: 109.870135 samples/sec accuracy=61.245192 loss=1.618568 lr=0.013743 Epoch[154] Batch [0699]/[1880] Speed: 99.042679 samples/sec accuracy=61.237723 loss=1.618294 lr=0.013727 Epoch[154] Batch [0749]/[1880] Speed: 108.449454 samples/sec accuracy=61.228125 loss=1.620908 lr=0.013710 Epoch[154] Batch [0799]/[1880] Speed: 100.051751 samples/sec accuracy=61.293945 loss=1.619254 lr=0.013693 Epoch[154] Batch [0849]/[1880] Speed: 108.269462 samples/sec accuracy=61.237132 loss=1.622305 lr=0.013677 Epoch[154] Batch [0899]/[1880] Speed: 98.309723 samples/sec accuracy=61.211806 loss=1.624058 lr=0.013660 Epoch[154] Batch [0949]/[1880] Speed: 109.048358 samples/sec accuracy=61.230263 loss=1.623754 lr=0.013643 Epoch[154] Batch [0999]/[1880] Speed: 103.599309 samples/sec accuracy=61.184375 loss=1.625379 lr=0.013627 Epoch[154] Batch [1049]/[1880] Speed: 106.754347 samples/sec accuracy=61.176339 loss=1.626097 lr=0.013610 Epoch[154] Batch [1099]/[1880] Speed: 104.197846 samples/sec accuracy=61.168324 loss=1.627017 lr=0.013593 Epoch[154] Batch [1149]/[1880] Speed: 102.841526 samples/sec accuracy=61.148098 loss=1.627314 lr=0.013577 Epoch[154] Batch [1199]/[1880] Speed: 109.962998 samples/sec accuracy=61.138672 loss=1.627726 lr=0.013560 Epoch[154] Batch [1249]/[1880] Speed: 103.075515 samples/sec accuracy=61.142500 loss=1.627559 lr=0.013543 Epoch[154] Batch [1299]/[1880] Speed: 103.808642 samples/sec accuracy=61.131010 loss=1.628554 lr=0.013527 Epoch[154] Batch [1349]/[1880] Speed: 108.198572 samples/sec accuracy=61.087963 loss=1.629464 lr=0.013510 Epoch[154] Batch [1399]/[1880] Speed: 100.860231 samples/sec accuracy=61.062500 loss=1.629739 lr=0.013493 Epoch[154] Batch [1449]/[1880] Speed: 109.402096 samples/sec accuracy=61.068966 loss=1.630008 lr=0.013477 Epoch[154] Batch [1499]/[1880] Speed: 101.271068 samples/sec accuracy=61.056771 loss=1.630792 lr=0.013460 Epoch[154] Batch [1549]/[1880] Speed: 104.602523 samples/sec accuracy=61.051915 loss=1.631103 lr=0.013444 Epoch[154] Batch [1599]/[1880] Speed: 104.231256 samples/sec accuracy=61.042480 loss=1.631588 lr=0.013427 Epoch[154] Batch [1649]/[1880] Speed: 106.698236 samples/sec accuracy=61.019413 loss=1.632783 lr=0.013411 Epoch[154] Batch [1699]/[1880] Speed: 104.672968 samples/sec accuracy=60.998621 loss=1.633182 lr=0.013394 Epoch[154] Batch [1749]/[1880] Speed: 104.779647 samples/sec accuracy=60.961607 loss=1.633931 lr=0.013377 Epoch[154] Batch [1799]/[1880] Speed: 102.462773 samples/sec accuracy=60.944444 loss=1.633971 lr=0.013361 Epoch[154] Batch [1849]/[1880] Speed: 106.822726 samples/sec accuracy=60.951014 loss=1.632687 lr=0.013344 Batch [0049]/[0151]: acc-top1=54.906250 acc-top5=78.250000 Batch [0099]/[0151]: acc-top1=57.968750 acc-top5=80.187500 Batch [0149]/[0151]: acc-top1=56.708333 acc-top5=79.458333 [Epoch 154] training: accuracy=60.954953 loss=1.632079 [Epoch 154] speed: 104 samples/sec time cost: 2510.405809 [Epoch 154] validation: acc-top1=56.627690 acc-top5=79.428808 loss=1.917486 Epoch[155] Batch [0049]/[1880] Speed: 74.232673 samples/sec accuracy=61.015625 loss=1.599932 lr=0.013318 Epoch[155] Batch [0099]/[1880] Speed: 109.434401 samples/sec accuracy=61.273438 loss=1.600424 lr=0.013301 Epoch[155] Batch [0149]/[1880] Speed: 100.285969 samples/sec accuracy=61.083333 loss=1.609585 lr=0.013285 Epoch[155] Batch [0199]/[1880] Speed: 105.643138 samples/sec accuracy=61.105469 loss=1.604339 lr=0.013268 Epoch[155] Batch [0249]/[1880] Speed: 106.481012 samples/sec accuracy=61.443750 loss=1.595328 lr=0.013252 Epoch[155] Batch [0299]/[1880] Speed: 100.012109 samples/sec accuracy=61.541667 loss=1.596185 lr=0.013235 Epoch[155] Batch [0349]/[1880] Speed: 110.446460 samples/sec accuracy=61.700893 loss=1.590630 lr=0.013219 Epoch[155] Batch [0399]/[1880] Speed: 101.081398 samples/sec accuracy=61.806641 loss=1.587814 lr=0.013203 Epoch[155] Batch [0449]/[1880] Speed: 104.659783 samples/sec accuracy=61.800347 loss=1.588595 lr=0.013186 Epoch[155] Batch [0499]/[1880] Speed: 107.371641 samples/sec accuracy=61.770313 loss=1.589370 lr=0.013170 Epoch[155] Batch [0549]/[1880] Speed: 105.384514 samples/sec accuracy=61.738636 loss=1.590838 lr=0.013153 Epoch[155] Batch [0599]/[1880] Speed: 102.611757 samples/sec accuracy=61.750000 loss=1.591650 lr=0.013137 Epoch[155] Batch [0649]/[1880] Speed: 103.374651 samples/sec accuracy=61.758413 loss=1.590574 lr=0.013120 Epoch[155] Batch [0699]/[1880] Speed: 103.588612 samples/sec accuracy=61.676339 loss=1.594034 lr=0.013104 Epoch[155] Batch [0749]/[1880] Speed: 106.888430 samples/sec accuracy=61.685417 loss=1.593572 lr=0.013088 Epoch[155] Batch [0799]/[1880] Speed: 105.015660 samples/sec accuracy=61.691406 loss=1.593396 lr=0.013071 Epoch[155] Batch [0849]/[1880] Speed: 104.056509 samples/sec accuracy=61.611213 loss=1.596006 lr=0.013055 Epoch[155] Batch [0899]/[1880] Speed: 107.749994 samples/sec accuracy=61.529514 loss=1.600228 lr=0.013038 Epoch[155] Batch [0949]/[1880] Speed: 99.522494 samples/sec accuracy=61.466283 loss=1.602255 lr=0.013022 Epoch[155] Batch [0999]/[1880] Speed: 110.422985 samples/sec accuracy=61.441406 loss=1.603722 lr=0.013006 Epoch[155] Batch [1049]/[1880] Speed: 98.880523 samples/sec accuracy=61.416667 loss=1.604616 lr=0.012989 Epoch[155] Batch [1099]/[1880] Speed: 111.219210 samples/sec accuracy=61.386364 loss=1.605884 lr=0.012973 Epoch[155] Batch [1149]/[1880] Speed: 100.202578 samples/sec accuracy=61.399457 loss=1.605119 lr=0.012957 Epoch[155] Batch [1199]/[1880] Speed: 105.961663 samples/sec accuracy=61.385417 loss=1.606069 lr=0.012940 Epoch[155] Batch [1249]/[1880] Speed: 107.807568 samples/sec accuracy=61.366250 loss=1.607380 lr=0.012924 Epoch[155] Batch [1299]/[1880] Speed: 102.110420 samples/sec accuracy=61.344351 loss=1.608246 lr=0.012908 Epoch[155] Batch [1349]/[1880] Speed: 103.154974 samples/sec accuracy=61.349537 loss=1.608324 lr=0.012891 Epoch[155] Batch [1399]/[1880] Speed: 110.429944 samples/sec accuracy=61.334821 loss=1.608774 lr=0.012875 Epoch[155] Batch [1449]/[1880] Speed: 98.373450 samples/sec accuracy=61.326509 loss=1.609506 lr=0.012859 Epoch[155] Batch [1499]/[1880] Speed: 109.223843 samples/sec accuracy=61.316667 loss=1.610000 lr=0.012843 Epoch[155] Batch [1549]/[1880] Speed: 104.501590 samples/sec accuracy=61.302419 loss=1.611127 lr=0.012826 Epoch[155] Batch [1599]/[1880] Speed: 101.807827 samples/sec accuracy=61.295898 loss=1.611460 lr=0.012810 Epoch[155] Batch [1649]/[1880] Speed: 109.405346 samples/sec accuracy=61.296402 loss=1.611051 lr=0.012794 Epoch[155] Batch [1699]/[1880] Speed: 100.919558 samples/sec accuracy=61.276195 loss=1.612155 lr=0.012778 Epoch[155] Batch [1749]/[1880] Speed: 107.158539 samples/sec accuracy=61.265625 loss=1.612305 lr=0.012761 Epoch[155] Batch [1799]/[1880] Speed: 102.555928 samples/sec accuracy=61.250000 loss=1.613240 lr=0.012745 Epoch[155] Batch [1849]/[1880] Speed: 105.118800 samples/sec accuracy=61.250845 loss=1.613362 lr=0.012729 Batch [0049]/[0151]: acc-top1=53.718750 acc-top5=77.203125 Batch [0099]/[0151]: acc-top1=57.750000 acc-top5=79.890625 Batch [0149]/[0151]: acc-top1=56.729167 acc-top5=79.572917 [Epoch 155] training: accuracy=61.263298 loss=1.613228 [Epoch 155] speed: 104 samples/sec time cost: 2510.691688 [Epoch 155] validation: acc-top1=56.663907 acc-top5=79.568502 loss=1.907780 Epoch[156] Batch [0049]/[1880] Speed: 72.825292 samples/sec accuracy=62.218750 loss=1.565735 lr=0.012703 Epoch[156] Batch [0099]/[1880] Speed: 110.848586 samples/sec accuracy=62.132812 loss=1.561627 lr=0.012687 Epoch[156] Batch [0149]/[1880] Speed: 100.369351 samples/sec accuracy=62.171875 loss=1.566924 lr=0.012671 Epoch[156] Batch [0199]/[1880] Speed: 105.135898 samples/sec accuracy=62.539062 loss=1.561542 lr=0.012655 Epoch[156] Batch [0249]/[1880] Speed: 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loss=1.569033 lr=0.012493 Epoch[156] Batch [0749]/[1880] Speed: 107.114004 samples/sec accuracy=62.293750 loss=1.571580 lr=0.012477 Epoch[156] Batch [0799]/[1880] Speed: 99.477126 samples/sec accuracy=62.214844 loss=1.574106 lr=0.012461 Epoch[156] Batch [0849]/[1880] Speed: 110.840931 samples/sec accuracy=62.136029 loss=1.575938 lr=0.012445 Epoch[156] Batch [0899]/[1880] Speed: 108.166268 samples/sec accuracy=62.153646 loss=1.575564 lr=0.012429 Epoch[156] Batch [0949]/[1880] Speed: 102.283810 samples/sec accuracy=62.138158 loss=1.576489 lr=0.012413 Epoch[156] Batch [0999]/[1880] Speed: 105.867075 samples/sec accuracy=62.124219 loss=1.577247 lr=0.012397 Epoch[156] Batch [1049]/[1880] Speed: 104.258027 samples/sec accuracy=62.118304 loss=1.577644 lr=0.012381 Epoch[156] Batch [1099]/[1880] Speed: 107.613710 samples/sec accuracy=62.084517 loss=1.580181 lr=0.012365 Epoch[156] Batch [1149]/[1880] Speed: 103.473461 samples/sec accuracy=62.006114 loss=1.582655 lr=0.012349 Epoch[156] Batch 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accuracy=61.944129 loss=1.585983 lr=0.012190 Epoch[156] Batch [1699]/[1880] Speed: 105.080689 samples/sec accuracy=61.915441 loss=1.587661 lr=0.012174 Epoch[156] Batch [1749]/[1880] Speed: 102.860115 samples/sec accuracy=61.908482 loss=1.588161 lr=0.012158 Epoch[156] Batch [1799]/[1880] Speed: 103.805858 samples/sec accuracy=61.871962 loss=1.588873 lr=0.012142 Epoch[156] Batch [1849]/[1880] Speed: 109.300003 samples/sec accuracy=61.851351 loss=1.590069 lr=0.012126 Batch [0049]/[0151]: acc-top1=55.796875 acc-top5=78.015625 Batch [0099]/[0151]: acc-top1=59.414062 acc-top5=80.335938 Batch [0149]/[0151]: acc-top1=58.036458 acc-top5=79.885417 [Epoch 156] training: accuracy=61.835938 loss=1.590814 [Epoch 156] speed: 104 samples/sec time cost: 2507.975773 [Epoch 156] validation: acc-top1=57.957368 acc-top5=79.858237 loss=1.856096 Epoch[157] Batch [0049]/[1879] Speed: 75.289691 samples/sec accuracy=62.937500 loss=1.544676 lr=0.012101 Epoch[157] Batch [0099]/[1879] Speed: 104.405807 samples/sec accuracy=63.257812 loss=1.537796 lr=0.012085 Epoch[157] Batch [0149]/[1879] Speed: 101.459536 samples/sec accuracy=63.135417 loss=1.530684 lr=0.012069 Epoch[157] Batch [0199]/[1879] Speed: 105.320964 samples/sec accuracy=63.015625 loss=1.529676 lr=0.012053 Epoch[157] Batch [0249]/[1879] Speed: 106.161984 samples/sec accuracy=62.606250 loss=1.548475 lr=0.012038 Epoch[157] Batch [0299]/[1879] Speed: 106.717600 samples/sec accuracy=62.687500 loss=1.546737 lr=0.012022 Epoch[157] Batch [0349]/[1879] Speed: 103.680590 samples/sec accuracy=62.799107 loss=1.545917 lr=0.012006 Epoch[157] Batch [0399]/[1879] Speed: 103.429386 samples/sec accuracy=62.777344 loss=1.548493 lr=0.011990 Epoch[157] Batch [0449]/[1879] Speed: 104.516972 samples/sec accuracy=62.656250 loss=1.554520 lr=0.011974 Epoch[157] Batch [0499]/[1879] Speed: 106.084591 samples/sec accuracy=62.617188 loss=1.555180 lr=0.011959 Epoch[157] Batch [0549]/[1879] Speed: 103.975990 samples/sec accuracy=62.558239 loss=1.557323 lr=0.011943 Epoch[157] Batch [0599]/[1879] Speed: 109.216744 samples/sec accuracy=62.548177 loss=1.558386 lr=0.011927 Epoch[157] Batch [0649]/[1879] Speed: 99.584408 samples/sec accuracy=62.551683 loss=1.559092 lr=0.011911 Epoch[157] Batch [0699]/[1879] Speed: 109.716890 samples/sec accuracy=62.504464 loss=1.562085 lr=0.011896 Epoch[157] Batch [0749]/[1879] Speed: 102.846636 samples/sec accuracy=62.414583 loss=1.565274 lr=0.011880 Epoch[157] Batch [0799]/[1879] Speed: 107.279355 samples/sec accuracy=62.405273 loss=1.566202 lr=0.011864 Epoch[157] Batch [0849]/[1879] Speed: 101.695347 samples/sec accuracy=62.475184 loss=1.564443 lr=0.011848 Epoch[157] Batch [0899]/[1879] Speed: 106.758401 samples/sec accuracy=62.434896 loss=1.566131 lr=0.011833 Epoch[157] Batch [0949]/[1879] Speed: 101.644919 samples/sec accuracy=62.443257 loss=1.566939 lr=0.011817 Epoch[157] Batch [0999]/[1879] Speed: 107.184305 samples/sec accuracy=62.398438 loss=1.569590 lr=0.011801 Epoch[157] Batch [1049]/[1879] Speed: 103.333375 samples/sec accuracy=62.381696 loss=1.568914 lr=0.011786 Epoch[157] Batch [1099]/[1879] Speed: 104.561124 samples/sec accuracy=62.321733 loss=1.571039 lr=0.011770 Epoch[157] Batch [1149]/[1879] Speed: 103.782300 samples/sec accuracy=62.319973 loss=1.569361 lr=0.011754 Epoch[157] Batch [1199]/[1879] Speed: 103.146378 samples/sec accuracy=62.324870 loss=1.569131 lr=0.011739 Epoch[157] Batch [1249]/[1879] Speed: 111.446300 samples/sec accuracy=62.281250 loss=1.569900 lr=0.011723 Epoch[157] Batch [1299]/[1879] Speed: 99.468286 samples/sec accuracy=62.274639 loss=1.569880 lr=0.011707 Epoch[157] Batch [1349]/[1879] Speed: 107.825770 samples/sec accuracy=62.251736 loss=1.569807 lr=0.011692 Epoch[157] Batch [1399]/[1879] Speed: 104.702216 samples/sec accuracy=62.237723 loss=1.570424 lr=0.011676 Epoch[157] Batch [1449]/[1879] Speed: 101.407203 samples/sec accuracy=62.245151 loss=1.569896 lr=0.011661 Epoch[157] Batch [1499]/[1879] Speed: 111.397954 samples/sec accuracy=62.235417 loss=1.570060 lr=0.011645 Epoch[157] Batch [1549]/[1879] Speed: 98.806547 samples/sec accuracy=62.188508 loss=1.571923 lr=0.011629 Epoch[157] Batch [1599]/[1879] Speed: 111.855711 samples/sec accuracy=62.187500 loss=1.572263 lr=0.011614 Epoch[157] Batch [1649]/[1879] Speed: 99.746219 samples/sec accuracy=62.203598 loss=1.571768 lr=0.011598 Epoch[157] Batch [1699]/[1879] Speed: 109.478492 samples/sec accuracy=62.185202 loss=1.572378 lr=0.011583 Epoch[157] Batch [1749]/[1879] Speed: 101.173135 samples/sec accuracy=62.180357 loss=1.572589 lr=0.011567 Epoch[157] Batch [1799]/[1879] Speed: 106.312522 samples/sec accuracy=62.150608 loss=1.573643 lr=0.011552 Epoch[157] Batch [1849]/[1879] Speed: 106.768000 samples/sec accuracy=62.155405 loss=1.574755 lr=0.011536 Batch [0049]/[0151]: acc-top1=55.703125 acc-top5=78.968750 Batch [0099]/[0151]: acc-top1=59.421875 acc-top5=80.812500 Batch [0149]/[0151]: acc-top1=58.000000 acc-top5=80.140625 [Epoch 157] training: accuracy=62.164882 loss=1.574489 [Epoch 157] speed: 104 samples/sec time cost: 2510.682017 [Epoch 157] validation: acc-top1=57.895281 acc-top5=80.085886 loss=1.868903 Epoch[158] Batch [0049]/[1880] Speed: 74.497630 samples/sec accuracy=63.718750 loss=1.485904 lr=0.011511 Epoch[158] Batch [0099]/[1880] Speed: 109.242557 samples/sec accuracy=63.875000 loss=1.497123 lr=0.011496 Epoch[158] Batch [0149]/[1880] Speed: 100.028294 samples/sec accuracy=63.854167 loss=1.506630 lr=0.011480 Epoch[158] Batch [0199]/[1880] Speed: 105.192338 samples/sec accuracy=63.390625 loss=1.515037 lr=0.011465 Epoch[158] Batch [0249]/[1880] Speed: 106.825669 samples/sec accuracy=63.275000 loss=1.519269 lr=0.011450 Epoch[158] Batch [0299]/[1880] Speed: 104.513496 samples/sec accuracy=63.203125 loss=1.519532 lr=0.011434 Epoch[158] Batch [0349]/[1880] Speed: 103.816537 samples/sec accuracy=63.229911 loss=1.514828 lr=0.011419 Epoch[158] Batch [0399]/[1880] Speed: 107.187391 samples/sec accuracy=63.132812 loss=1.517788 lr=0.011403 Epoch[158] Batch 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accuracy=62.922743 loss=1.539909 lr=0.011249 Epoch[158] Batch [0949]/[1880] Speed: 101.783945 samples/sec accuracy=62.902961 loss=1.541065 lr=0.011234 Epoch[158] Batch [0999]/[1880] Speed: 106.184143 samples/sec accuracy=62.864844 loss=1.543364 lr=0.011218 Epoch[158] Batch [1049]/[1880] Speed: 105.649267 samples/sec accuracy=62.862351 loss=1.543348 lr=0.011203 Epoch[158] Batch [1099]/[1880] Speed: 104.919997 samples/sec accuracy=62.809659 loss=1.544499 lr=0.011188 Epoch[158] Batch [1149]/[1880] Speed: 105.270566 samples/sec accuracy=62.797554 loss=1.545036 lr=0.011172 Epoch[158] Batch [1199]/[1880] Speed: 103.776252 samples/sec accuracy=62.814453 loss=1.544099 lr=0.011157 Epoch[158] Batch [1249]/[1880] Speed: 105.286379 samples/sec accuracy=62.786875 loss=1.544728 lr=0.011142 Epoch[158] Batch [1299]/[1880] Speed: 106.831670 samples/sec accuracy=62.740986 loss=1.546607 lr=0.011127 Epoch[158] Batch [1349]/[1880] Speed: 101.992362 samples/sec accuracy=62.701968 loss=1.548318 lr=0.011111 Epoch[158] Batch [1399]/[1880] Speed: 107.261349 samples/sec accuracy=62.729353 loss=1.548018 lr=0.011096 Epoch[158] Batch [1449]/[1880] Speed: 107.346644 samples/sec accuracy=62.679957 loss=1.549743 lr=0.011081 Epoch[158] Batch [1499]/[1880] Speed: 101.472457 samples/sec accuracy=62.679167 loss=1.550419 lr=0.011065 Epoch[158] Batch [1549]/[1880] Speed: 104.616236 samples/sec accuracy=62.658266 loss=1.551502 lr=0.011050 Epoch[158] Batch [1599]/[1880] Speed: 105.322752 samples/sec accuracy=62.656738 loss=1.551945 lr=0.011035 Epoch[158] Batch [1649]/[1880] Speed: 103.363629 samples/sec accuracy=62.631629 loss=1.552878 lr=0.011020 Epoch[158] Batch [1699]/[1880] Speed: 106.064381 samples/sec accuracy=62.603401 loss=1.553764 lr=0.011005 Epoch[158] Batch [1749]/[1880] Speed: 106.186807 samples/sec accuracy=62.605804 loss=1.553583 lr=0.010989 Epoch[158] Batch [1799]/[1880] Speed: 104.797472 samples/sec accuracy=62.595052 loss=1.554132 lr=0.010974 Epoch[158] Batch [1849]/[1880] Speed: 103.183614 samples/sec accuracy=62.584459 loss=1.554571 lr=0.010959 Batch [0049]/[0151]: acc-top1=54.984375 acc-top5=78.031250 Batch [0099]/[0151]: acc-top1=59.156250 acc-top5=80.289062 Batch [0149]/[0151]: acc-top1=57.557292 acc-top5=79.807292 [Epoch 158] training: accuracy=62.564827 loss=1.555407 [Epoch 158] speed: 104 samples/sec time cost: 2509.254846 [Epoch 158] validation: acc-top1=57.460679 acc-top5=79.759934 loss=1.855190 Epoch[159] Batch [0049]/[1880] Speed: 74.611526 samples/sec accuracy=63.203125 loss=1.545037 lr=0.010935 Epoch[159] Batch [0099]/[1880] Speed: 106.295916 samples/sec accuracy=63.289063 loss=1.523120 lr=0.010920 Epoch[159] Batch [0149]/[1880] Speed: 103.936910 samples/sec accuracy=63.286458 loss=1.519216 lr=0.010904 Epoch[159] Batch [0199]/[1880] Speed: 105.319211 samples/sec accuracy=63.628906 loss=1.515537 lr=0.010889 Epoch[159] Batch [0249]/[1880] Speed: 105.490930 samples/sec accuracy=63.509375 loss=1.516080 lr=0.010874 Epoch[159] Batch [0299]/[1880] Speed: 101.704326 samples/sec accuracy=63.476562 loss=1.516066 lr=0.010859 Epoch[159] Batch [0349]/[1880] Speed: 110.373758 samples/sec accuracy=63.270089 loss=1.523820 lr=0.010844 Epoch[159] Batch [0399]/[1880] Speed: 96.849531 samples/sec accuracy=63.236328 loss=1.522191 lr=0.010829 Epoch[159] Batch [0449]/[1880] Speed: 111.737407 samples/sec accuracy=63.295139 loss=1.520834 lr=0.010814 Epoch[159] Batch [0499]/[1880] Speed: 105.394452 samples/sec accuracy=63.279688 loss=1.520207 lr=0.010799 Epoch[159] Batch [0549]/[1880] Speed: 103.620395 samples/sec accuracy=63.401989 loss=1.516712 lr=0.010783 Epoch[159] Batch [0599]/[1880] Speed: 110.568470 samples/sec accuracy=63.339844 loss=1.519186 lr=0.010768 Epoch[159] Batch [0649]/[1880] Speed: 97.777072 samples/sec accuracy=63.379808 loss=1.519138 lr=0.010753 Epoch[159] Batch [0699]/[1880] Speed: 111.822304 samples/sec accuracy=63.268973 loss=1.523297 lr=0.010738 Epoch[159] Batch [0749]/[1880] Speed: 100.639925 samples/sec accuracy=63.341667 loss=1.519525 lr=0.010723 Epoch[159] Batch [0799]/[1880] Speed: 104.896679 samples/sec accuracy=63.321289 loss=1.520883 lr=0.010708 Epoch[159] Batch [0849]/[1880] Speed: 108.726291 samples/sec accuracy=63.287684 loss=1.522908 lr=0.010693 Epoch[159] Batch [0899]/[1880] Speed: 101.070903 samples/sec accuracy=63.280382 loss=1.523642 lr=0.010678 Epoch[159] Batch [0949]/[1880] Speed: 108.234157 samples/sec accuracy=63.292763 loss=1.523235 lr=0.010663 Epoch[159] Batch [0999]/[1880] Speed: 107.683836 samples/sec accuracy=63.272656 loss=1.523678 lr=0.010648 Epoch[159] Batch [1049]/[1880] Speed: 100.221776 samples/sec accuracy=63.265625 loss=1.523809 lr=0.010633 Epoch[159] Batch [1099]/[1880] Speed: 109.236568 samples/sec accuracy=63.217330 loss=1.525770 lr=0.010618 Epoch[159] Batch [1149]/[1880] Speed: 101.344954 samples/sec accuracy=63.206522 loss=1.526227 lr=0.010603 Epoch[159] Batch [1199]/[1880] Speed: 106.713628 samples/sec accuracy=63.192057 loss=1.526732 lr=0.010588 Epoch[159] Batch 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accuracy=63.071232 loss=1.530968 lr=0.010439 Epoch[159] Batch [1749]/[1880] Speed: 111.364472 samples/sec accuracy=63.065179 loss=1.531874 lr=0.010424 Epoch[159] Batch [1799]/[1880] Speed: 100.886180 samples/sec accuracy=63.027778 loss=1.532163 lr=0.010409 Epoch[159] Batch [1849]/[1880] Speed: 107.405553 samples/sec accuracy=63.009713 loss=1.532607 lr=0.010395 Batch [0049]/[0151]: acc-top1=54.921875 acc-top5=78.500000 Batch [0099]/[0151]: acc-top1=59.273438 acc-top5=80.812500 Batch [0149]/[0151]: acc-top1=58.078125 acc-top5=80.286458 [Epoch 159] training: accuracy=63.000332 loss=1.533139 [Epoch 159] speed: 104 samples/sec time cost: 2505.776435 [Epoch 159] validation: acc-top1=58.055671 acc-top5=80.277318 loss=1.854630 Epoch[160] Batch [0049]/[1880] Speed: 75.052796 samples/sec accuracy=63.375000 loss=1.483619 lr=0.010371 Epoch[160] Batch [0099]/[1880] Speed: 109.504910 samples/sec accuracy=64.125000 loss=1.479533 lr=0.010356 Epoch[160] Batch [0149]/[1880] Speed: 102.648113 samples/sec accuracy=64.182292 loss=1.481816 lr=0.010341 Epoch[160] Batch [0199]/[1880] Speed: 104.594500 samples/sec accuracy=64.015625 loss=1.485717 lr=0.010327 Epoch[160] Batch [0249]/[1880] Speed: 104.450011 samples/sec accuracy=63.968750 loss=1.486709 lr=0.010312 Epoch[160] Batch [0299]/[1880] Speed: 105.133077 samples/sec accuracy=64.031250 loss=1.486673 lr=0.010297 Epoch[160] Batch [0349]/[1880] Speed: 108.005686 samples/sec accuracy=63.982143 loss=1.486404 lr=0.010282 Epoch[160] Batch [0399]/[1880] Speed: 102.426758 samples/sec accuracy=63.941406 loss=1.488079 lr=0.010267 Epoch[160] Batch [0449]/[1880] Speed: 108.150799 samples/sec accuracy=64.000000 loss=1.486704 lr=0.010253 Epoch[160] Batch [0499]/[1880] Speed: 100.335538 samples/sec accuracy=63.979688 loss=1.490600 lr=0.010238 Epoch[160] Batch [0549]/[1880] Speed: 106.713463 samples/sec accuracy=64.029830 loss=1.486127 lr=0.010223 Epoch[160] Batch [0599]/[1880] Speed: 98.650914 samples/sec accuracy=64.059896 loss=1.483201 lr=0.010209 Epoch[160] Batch [0649]/[1880] Speed: 109.769537 samples/sec accuracy=64.092548 loss=1.483342 lr=0.010194 Epoch[160] Batch [0699]/[1880] Speed: 106.334343 samples/sec accuracy=64.064732 loss=1.484446 lr=0.010179 Epoch[160] Batch [0749]/[1880] Speed: 103.097045 samples/sec accuracy=64.025000 loss=1.486129 lr=0.010164 Epoch[160] Batch [0799]/[1880] Speed: 106.389645 samples/sec accuracy=63.849609 loss=1.493987 lr=0.010150 Epoch[160] Batch [0849]/[1880] Speed: 106.012207 samples/sec accuracy=63.890625 loss=1.494428 lr=0.010135 Epoch[160] Batch [0899]/[1880] Speed: 101.701936 samples/sec accuracy=63.836806 loss=1.498017 lr=0.010120 Epoch[160] Batch [0949]/[1880] Speed: 106.565975 samples/sec accuracy=63.851151 loss=1.497645 lr=0.010106 Epoch[160] Batch [0999]/[1880] Speed: 109.218734 samples/sec accuracy=63.839062 loss=1.498517 lr=0.010091 Epoch[160] Batch [1049]/[1880] Speed: 99.999333 samples/sec accuracy=63.815476 loss=1.500102 lr=0.010076 Epoch[160] Batch [1099]/[1880] Speed: 109.579734 samples/sec accuracy=63.813210 loss=1.499438 lr=0.010062 Epoch[160] Batch [1149]/[1880] Speed: 98.202019 samples/sec accuracy=63.845109 loss=1.498055 lr=0.010047 Epoch[160] Batch [1199]/[1880] Speed: 109.751926 samples/sec accuracy=63.848307 loss=1.498238 lr=0.010033 Epoch[160] Batch [1249]/[1880] Speed: 101.128550 samples/sec accuracy=63.832500 loss=1.499000 lr=0.010018 Epoch[160] Batch [1299]/[1880] Speed: 105.124915 samples/sec accuracy=63.805288 loss=1.500396 lr=0.010003 Epoch[160] Batch [1349]/[1880] Speed: 107.258048 samples/sec accuracy=63.765046 loss=1.501126 lr=0.009989 Epoch[160] Batch [1399]/[1880] Speed: 102.315180 samples/sec accuracy=63.773438 loss=1.501181 lr=0.009974 Epoch[160] Batch [1449]/[1880] Speed: 111.675382 samples/sec accuracy=63.802802 loss=1.500978 lr=0.009960 Epoch[160] Batch [1499]/[1880] Speed: 104.395297 samples/sec accuracy=63.796354 loss=1.502211 lr=0.009945 Epoch[160] Batch [1549]/[1880] Speed: 99.738199 samples/sec accuracy=63.770665 loss=1.502669 lr=0.009931 Epoch[160] Batch [1599]/[1880] Speed: 108.263371 samples/sec accuracy=63.735352 loss=1.504488 lr=0.009916 Epoch[160] Batch [1649]/[1880] Speed: 101.457630 samples/sec accuracy=63.706439 loss=1.505614 lr=0.009902 Epoch[160] Batch [1699]/[1880] Speed: 109.652433 samples/sec accuracy=63.691636 loss=1.506669 lr=0.009887 Epoch[160] Batch [1749]/[1880] Speed: 99.380575 samples/sec accuracy=63.687500 loss=1.506922 lr=0.009873 Epoch[160] Batch [1799]/[1880] Speed: 107.872149 samples/sec accuracy=63.651476 loss=1.508175 lr=0.009858 Epoch[160] Batch [1849]/[1880] Speed: 104.895175 samples/sec accuracy=63.653294 loss=1.508540 lr=0.009844 Batch [0049]/[0151]: acc-top1=55.406250 acc-top5=78.046875 Batch [0099]/[0151]: acc-top1=59.265625 acc-top5=80.414062 Batch [0149]/[0151]: acc-top1=58.223958 acc-top5=80.036458 [Epoch 160] training: accuracy=63.634059 loss=1.509173 [Epoch 160] speed: 104 samples/sec time cost: 2509.898184 [Epoch 160] validation: acc-top1=58.159147 acc-top5=79.992757 loss=1.843334 Epoch[161] Batch [0049]/[1880] Speed: 76.263931 samples/sec accuracy=63.703125 loss=1.507910 lr=0.009820 Epoch[161] Batch [0099]/[1880] Speed: 104.305577 samples/sec accuracy=64.171875 loss=1.486699 lr=0.009806 Epoch[161] Batch [0149]/[1880] Speed: 108.206205 samples/sec accuracy=64.359375 loss=1.480829 lr=0.009792 Epoch[161] Batch [0199]/[1880] Speed: 101.655203 samples/sec accuracy=64.312500 loss=1.478278 lr=0.009777 Epoch[161] Batch [0249]/[1880] Speed: 107.181034 samples/sec accuracy=64.443750 loss=1.473050 lr=0.009763 Epoch[161] Batch [0299]/[1880] Speed: 102.319782 samples/sec accuracy=64.216146 loss=1.478493 lr=0.009748 Epoch[161] Batch [0349]/[1880] Speed: 106.775773 samples/sec accuracy=64.160714 loss=1.481167 lr=0.009734 Epoch[161] Batch [0399]/[1880] Speed: 109.207951 samples/sec accuracy=64.162109 loss=1.481577 lr=0.009719 Epoch[161] Batch [0449]/[1880] Speed: 103.365021 samples/sec accuracy=64.119792 loss=1.480840 lr=0.009705 Epoch[161] Batch [0499]/[1880] Speed: 105.353701 samples/sec accuracy=64.192188 loss=1.479693 lr=0.009691 Epoch[161] Batch [0549]/[1880] Speed: 100.721591 samples/sec accuracy=64.261364 loss=1.478200 lr=0.009676 Epoch[161] Batch [0599]/[1880] Speed: 105.979345 samples/sec accuracy=64.164062 loss=1.482987 lr=0.009662 Epoch[161] Batch [0649]/[1880] Speed: 105.702301 samples/sec accuracy=64.147837 loss=1.483364 lr=0.009648 Epoch[161] Batch [0699]/[1880] Speed: 101.876148 samples/sec accuracy=64.131696 loss=1.484262 lr=0.009633 Epoch[161] Batch [0749]/[1880] Speed: 107.627785 samples/sec accuracy=64.083333 loss=1.485248 lr=0.009619 Epoch[161] Batch [0799]/[1880] Speed: 102.191700 samples/sec accuracy=64.069336 loss=1.486261 lr=0.009605 Epoch[161] Batch [0849]/[1880] Speed: 108.621434 samples/sec accuracy=64.056985 loss=1.486972 lr=0.009590 Epoch[161] Batch [0899]/[1880] Speed: 101.574330 samples/sec accuracy=64.040799 loss=1.488942 lr=0.009576 Epoch[161] Batch [0949]/[1880] Speed: 107.445564 samples/sec accuracy=64.048520 loss=1.489456 lr=0.009562 Epoch[161] Batch [0999]/[1880] Speed: 106.906582 samples/sec accuracy=64.031250 loss=1.491032 lr=0.009547 Epoch[161] Batch [1049]/[1880] Speed: 103.564164 samples/sec accuracy=63.979167 loss=1.493149 lr=0.009533 Epoch[161] Batch [1099]/[1880] Speed: 105.506773 samples/sec accuracy=63.956676 loss=1.492418 lr=0.009519 Epoch[161] Batch [1149]/[1880] Speed: 103.173159 samples/sec accuracy=63.993886 loss=1.491179 lr=0.009505 Epoch[161] Batch [1199]/[1880] Speed: 103.463800 samples/sec accuracy=63.987630 loss=1.491696 lr=0.009490 Epoch[161] Batch [1249]/[1880] Speed: 109.546380 samples/sec accuracy=63.980625 loss=1.492450 lr=0.009476 Epoch[161] Batch [1299]/[1880] Speed: 98.515611 samples/sec accuracy=63.975962 loss=1.492865 lr=0.009462 Epoch[161] Batch [1349]/[1880] Speed: 110.935601 samples/sec accuracy=63.986111 loss=1.492404 lr=0.009448 Epoch[161] Batch [1399]/[1880] Speed: 100.672555 samples/sec accuracy=63.999442 loss=1.492203 lr=0.009433 Epoch[161] Batch [1449]/[1880] Speed: 107.404859 samples/sec accuracy=64.002694 loss=1.492465 lr=0.009419 Epoch[161] Batch [1499]/[1880] Speed: 110.500196 samples/sec accuracy=64.008854 loss=1.492574 lr=0.009405 Epoch[161] Batch [1549]/[1880] Speed: 99.641647 samples/sec accuracy=64.014617 loss=1.492234 lr=0.009391 Epoch[161] Batch [1599]/[1880] Speed: 106.023212 samples/sec accuracy=64.008789 loss=1.492962 lr=0.009377 Epoch[161] Batch [1649]/[1880] Speed: 103.015192 samples/sec accuracy=63.968750 loss=1.493543 lr=0.009362 Epoch[161] Batch [1699]/[1880] Speed: 104.124880 samples/sec accuracy=63.974724 loss=1.493828 lr=0.009348 Epoch[161] Batch [1749]/[1880] Speed: 106.491265 samples/sec accuracy=63.971429 loss=1.493499 lr=0.009334 Epoch[161] Batch [1799]/[1880] Speed: 106.939126 samples/sec accuracy=63.965712 loss=1.493675 lr=0.009320 Epoch[161] Batch [1849]/[1880] Speed: 103.218776 samples/sec accuracy=63.956081 loss=1.494370 lr=0.009306 Batch [0049]/[0151]: acc-top1=56.437500 acc-top5=78.828125 Batch [0099]/[0151]: acc-top1=60.046875 acc-top5=81.046875 Batch [0149]/[0151]: acc-top1=58.526042 acc-top5=80.619792 [Epoch 161] training: accuracy=63.958610 loss=1.494320 [Epoch 161] speed: 104 samples/sec time cost: 2505.721445 [Epoch 161] validation: acc-top1=58.454056 acc-top5=80.592922 loss=1.833424 Epoch[162] Batch [0049]/[1879] Speed: 74.338286 samples/sec accuracy=65.453125 loss=1.415565 lr=0.009283 Epoch[162] Batch [0099]/[1879] Speed: 106.423136 samples/sec accuracy=65.570312 loss=1.412389 lr=0.009269 Epoch[162] Batch [0149]/[1879] Speed: 105.426428 samples/sec accuracy=65.687500 loss=1.409952 lr=0.009255 Epoch[162] Batch [0199]/[1879] Speed: 103.234306 samples/sec accuracy=65.488281 loss=1.422891 lr=0.009241 Epoch[162] Batch [0249]/[1879] Speed: 109.662010 samples/sec accuracy=65.340625 loss=1.433721 lr=0.009227 Epoch[162] Batch [0299]/[1879] Speed: 98.950268 samples/sec accuracy=65.289062 loss=1.432066 lr=0.009213 Epoch[162] Batch [0349]/[1879] Speed: 108.718352 samples/sec accuracy=65.111607 loss=1.439312 lr=0.009199 Epoch[162] Batch [0399]/[1879] Speed: 104.696403 samples/sec accuracy=64.917969 loss=1.447190 lr=0.009185 Epoch[162] Batch [0449]/[1879] Speed: 102.275401 samples/sec accuracy=64.888889 loss=1.447475 lr=0.009171 Epoch[162] Batch [0499]/[1879] Speed: 104.337652 samples/sec accuracy=64.831250 loss=1.449464 lr=0.009157 Epoch[162] Batch [0549]/[1879] Speed: 107.145521 samples/sec accuracy=64.784091 loss=1.453132 lr=0.009143 Epoch[162] Batch [0599]/[1879] Speed: 105.188677 samples/sec accuracy=64.794271 loss=1.453821 lr=0.009129 Epoch[162] Batch [0649]/[1879] Speed: 102.669328 samples/sec accuracy=64.747596 loss=1.454694 lr=0.009115 Epoch[162] Batch [0699]/[1879] Speed: 107.340666 samples/sec accuracy=64.716518 loss=1.457218 lr=0.009101 Epoch[162] Batch [0749]/[1879] Speed: 102.703852 samples/sec accuracy=64.718750 loss=1.456952 lr=0.009087 Epoch[162] Batch [0799]/[1879] Speed: 104.149170 samples/sec accuracy=64.657227 loss=1.458949 lr=0.009073 Epoch[162] Batch [0849]/[1879] Speed: 105.010227 samples/sec accuracy=64.636029 loss=1.461523 lr=0.009059 Epoch[162] Batch [0899]/[1879] Speed: 105.890867 samples/sec accuracy=64.572049 loss=1.463873 lr=0.009045 Epoch[162] Batch [0949]/[1879] Speed: 101.777552 samples/sec accuracy=64.573191 loss=1.463470 lr=0.009031 Epoch[162] Batch [0999]/[1879] Speed: 110.477804 samples/sec accuracy=64.563281 loss=1.463886 lr=0.009017 Epoch[162] Batch [1049]/[1879] Speed: 100.827895 samples/sec accuracy=64.597470 loss=1.463664 lr=0.009003 Epoch[162] Batch [1099]/[1879] Speed: 109.044487 samples/sec accuracy=64.575994 loss=1.464869 lr=0.008989 Epoch[162] Batch [1149]/[1879] Speed: 100.675280 samples/sec accuracy=64.596467 loss=1.464342 lr=0.008975 Epoch[162] Batch [1199]/[1879] Speed: 108.662699 samples/sec accuracy=64.596354 loss=1.464776 lr=0.008961 Epoch[162] Batch [1249]/[1879] Speed: 102.766690 samples/sec accuracy=64.574375 loss=1.465416 lr=0.008948 Epoch[162] Batch [1299]/[1879] Speed: 106.403151 samples/sec accuracy=64.546875 loss=1.466563 lr=0.008934 Epoch[162] Batch [1349]/[1879] Speed: 106.344747 samples/sec accuracy=64.521412 loss=1.468034 lr=0.008920 Epoch[162] Batch [1399]/[1879] Speed: 103.735882 samples/sec accuracy=64.500558 loss=1.468591 lr=0.008906 Epoch[162] Batch [1449]/[1879] Speed: 106.969287 samples/sec accuracy=64.483836 loss=1.468952 lr=0.008892 Epoch[162] Batch [1499]/[1879] Speed: 100.496559 samples/sec accuracy=64.454167 loss=1.470694 lr=0.008878 Epoch[162] Batch [1549]/[1879] Speed: 105.031172 samples/sec accuracy=64.409274 loss=1.471713 lr=0.008865 Epoch[162] Batch [1599]/[1879] Speed: 105.481978 samples/sec accuracy=64.423828 loss=1.470591 lr=0.008851 Epoch[162] Batch [1649]/[1879] Speed: 103.912372 samples/sec accuracy=64.381629 loss=1.471128 lr=0.008837 Epoch[162] Batch [1699]/[1879] Speed: 107.320007 samples/sec accuracy=64.358456 loss=1.471835 lr=0.008823 Epoch[162] Batch [1749]/[1879] Speed: 104.470457 samples/sec accuracy=64.351339 loss=1.472374 lr=0.008809 Epoch[162] Batch [1799]/[1879] Speed: 100.145345 samples/sec accuracy=64.360243 loss=1.472864 lr=0.008796 Epoch[162] Batch [1849]/[1879] Speed: 110.785315 samples/sec accuracy=64.384291 loss=1.472149 lr=0.008782 Batch [0049]/[0151]: acc-top1=56.812500 acc-top5=78.828125 Batch [0099]/[0151]: acc-top1=60.359375 acc-top5=81.062500 Batch [0149]/[0151]: acc-top1=59.020833 acc-top5=80.744792 [Epoch 162] training: accuracy=64.378493 loss=1.472017 [Epoch 162] speed: 104 samples/sec time cost: 2509.177245 [Epoch 162] validation: acc-top1=58.919702 acc-top5=80.717094 loss=1.821544 Epoch[163] Batch [0049]/[1880] Speed: 73.716505 samples/sec accuracy=66.140625 loss=1.407078 lr=0.008760 Epoch[163] Batch [0099]/[1880] Speed: 107.613436 samples/sec accuracy=66.250000 loss=1.403357 lr=0.008746 Epoch[163] Batch [0149]/[1880] Speed: 106.455527 samples/sec accuracy=65.947917 loss=1.408571 lr=0.008733 Epoch[163] Batch [0199]/[1880] Speed: 101.339317 samples/sec accuracy=65.902344 loss=1.414086 lr=0.008719 Epoch[163] Batch [0249]/[1880] Speed: 108.268350 samples/sec accuracy=65.778125 loss=1.416507 lr=0.008705 Epoch[163] Batch [0299]/[1880] Speed: 98.260310 samples/sec accuracy=65.549479 loss=1.420406 lr=0.008692 Epoch[163] Batch [0349]/[1880] Speed: 111.199334 samples/sec accuracy=65.491071 loss=1.423425 lr=0.008678 Epoch[163] Batch [0399]/[1880] Speed: 102.858346 samples/sec accuracy=65.498047 loss=1.426114 lr=0.008664 Epoch[163] Batch [0449]/[1880] Speed: 107.300460 samples/sec accuracy=65.449653 loss=1.427573 lr=0.008650 Epoch[163] Batch [0499]/[1880] Speed: 107.470316 samples/sec accuracy=65.557812 loss=1.424060 lr=0.008637 Epoch[163] Batch [0549]/[1880] Speed: 101.880958 samples/sec accuracy=65.569602 loss=1.423017 lr=0.008623 Epoch[163] Batch [0599]/[1880] Speed: 107.681671 samples/sec accuracy=65.467448 loss=1.428250 lr=0.008610 Epoch[163] Batch [0649]/[1880] Speed: 101.787512 samples/sec accuracy=65.441106 loss=1.427849 lr=0.008596 Epoch[163] Batch [0699]/[1880] Speed: 108.245737 samples/sec accuracy=65.435268 loss=1.430553 lr=0.008582 Epoch[163] Batch [0749]/[1880] Speed: 100.778727 samples/sec accuracy=65.405208 loss=1.430122 lr=0.008569 Epoch[163] Batch [0799]/[1880] Speed: 109.319709 samples/sec accuracy=65.383789 loss=1.431636 lr=0.008555 Epoch[163] Batch [0849]/[1880] Speed: 98.419680 samples/sec accuracy=65.407169 loss=1.431648 lr=0.008541 Epoch[163] Batch [0899]/[1880] Speed: 111.069535 samples/sec accuracy=65.340278 loss=1.432930 lr=0.008528 Epoch[163] Batch [0949]/[1880] Speed: 106.035278 samples/sec accuracy=65.298520 loss=1.434538 lr=0.008514 Epoch[163] Batch [0999]/[1880] Speed: 102.588416 samples/sec accuracy=65.258594 loss=1.435731 lr=0.008501 Epoch[163] Batch [1049]/[1880] Speed: 104.201482 samples/sec accuracy=65.212054 loss=1.437886 lr=0.008487 Epoch[163] Batch [1099]/[1880] Speed: 106.159799 samples/sec accuracy=65.150568 loss=1.439815 lr=0.008474 Epoch[163] Batch 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accuracy=65.078613 loss=1.440671 lr=0.008339 Epoch[163] Batch [1649]/[1880] Speed: 97.705528 samples/sec accuracy=65.061553 loss=1.441334 lr=0.008325 Epoch[163] Batch [1699]/[1880] Speed: 111.557446 samples/sec accuracy=65.035386 loss=1.442204 lr=0.008312 Epoch[163] Batch [1749]/[1880] Speed: 98.268018 samples/sec accuracy=65.017857 loss=1.442730 lr=0.008299 Epoch[163] Batch [1799]/[1880] Speed: 109.276825 samples/sec accuracy=65.025174 loss=1.442773 lr=0.008285 Epoch[163] Batch [1849]/[1880] Speed: 100.748896 samples/sec accuracy=65.032517 loss=1.443230 lr=0.008272 Batch [0049]/[0151]: acc-top1=56.156250 acc-top5=78.515625 Batch [0099]/[0151]: acc-top1=60.437500 acc-top5=81.140625 Batch [0149]/[0151]: acc-top1=58.927083 acc-top5=80.619792 [Epoch 163] training: accuracy=65.028258 loss=1.443475 [Epoch 163] speed: 104 samples/sec time cost: 2507.274397 [Epoch 163] validation: acc-top1=58.857616 acc-top5=80.577401 loss=1.834629 Epoch[164] Batch [0049]/[1880] Speed: 74.959858 samples/sec accuracy=66.046875 loss=1.424328 lr=0.008250 Epoch[164] Batch [0099]/[1880] Speed: 106.663531 samples/sec accuracy=66.414062 loss=1.390804 lr=0.008237 Epoch[164] Batch [0149]/[1880] Speed: 102.521403 samples/sec accuracy=66.213542 loss=1.393608 lr=0.008224 Epoch[164] Batch [0199]/[1880] Speed: 103.433623 samples/sec accuracy=66.050781 loss=1.397035 lr=0.008210 Epoch[164] Batch [0249]/[1880] Speed: 109.649889 samples/sec accuracy=65.962500 loss=1.399484 lr=0.008197 Epoch[164] Batch [0299]/[1880] Speed: 104.706457 samples/sec accuracy=65.981771 loss=1.402239 lr=0.008184 Epoch[164] Batch [0349]/[1880] Speed: 105.319577 samples/sec accuracy=65.839286 loss=1.408931 lr=0.008170 Epoch[164] Batch [0399]/[1880] Speed: 103.983991 samples/sec accuracy=65.812500 loss=1.409001 lr=0.008157 Epoch[164] Batch [0449]/[1880] Speed: 101.546762 samples/sec accuracy=65.784722 loss=1.410372 lr=0.008144 Epoch[164] Batch [0499]/[1880] Speed: 109.949294 samples/sec accuracy=65.879687 loss=1.407656 lr=0.008130 Epoch[164] Batch [0549]/[1880] Speed: 98.639147 samples/sec accuracy=65.836648 loss=1.412626 lr=0.008117 Epoch[164] Batch [0599]/[1880] Speed: 110.241230 samples/sec accuracy=65.859375 loss=1.408736 lr=0.008104 Epoch[164] Batch [0649]/[1880] Speed: 97.404226 samples/sec accuracy=65.927885 loss=1.407420 lr=0.008091 Epoch[164] Batch [0699]/[1880] Speed: 111.731256 samples/sec accuracy=65.897321 loss=1.409419 lr=0.008077 Epoch[164] Batch [0749]/[1880] Speed: 101.229981 samples/sec accuracy=65.869792 loss=1.410574 lr=0.008064 Epoch[164] Batch [0799]/[1880] Speed: 108.934825 samples/sec accuracy=65.893555 loss=1.409482 lr=0.008051 Epoch[164] Batch [0849]/[1880] Speed: 103.417799 samples/sec accuracy=65.925551 loss=1.407204 lr=0.008038 Epoch[164] Batch [0899]/[1880] Speed: 104.588911 samples/sec accuracy=65.923611 loss=1.407553 lr=0.008024 Epoch[164] Batch [0949]/[1880] Speed: 106.376938 samples/sec accuracy=65.891447 loss=1.409072 lr=0.008011 Epoch[164] Batch [0999]/[1880] Speed: 102.084246 samples/sec accuracy=65.832813 loss=1.410902 lr=0.007998 Epoch[164] Batch [1049]/[1880] Speed: 105.980094 samples/sec accuracy=65.813988 loss=1.412840 lr=0.007985 Epoch[164] Batch [1099]/[1880] Speed: 103.997543 samples/sec accuracy=65.748580 loss=1.415123 lr=0.007972 Epoch[164] Batch [1149]/[1880] Speed: 106.592394 samples/sec accuracy=65.752717 loss=1.414597 lr=0.007959 Epoch[164] Batch [1199]/[1880] Speed: 103.313596 samples/sec accuracy=65.714193 loss=1.416984 lr=0.007945 Epoch[164] Batch [1249]/[1880] Speed: 104.094537 samples/sec accuracy=65.667500 loss=1.420308 lr=0.007932 Epoch[164] Batch [1299]/[1880] Speed: 101.916060 samples/sec accuracy=65.649038 loss=1.421385 lr=0.007919 Epoch[164] Batch [1349]/[1880] Speed: 110.848460 samples/sec accuracy=65.611690 loss=1.423035 lr=0.007906 Epoch[164] Batch [1399]/[1880] Speed: 98.046387 samples/sec accuracy=65.603237 loss=1.424065 lr=0.007893 Epoch[164] Batch [1449]/[1880] Speed: 110.923008 samples/sec accuracy=65.566272 loss=1.425644 lr=0.007880 Epoch[164] Batch [1499]/[1880] Speed: 108.484231 samples/sec accuracy=65.516146 loss=1.427449 lr=0.007867 Epoch[164] Batch [1549]/[1880] Speed: 97.658832 samples/sec accuracy=65.500000 loss=1.427500 lr=0.007854 Epoch[164] Batch [1599]/[1880] Speed: 109.392447 samples/sec accuracy=65.511719 loss=1.426830 lr=0.007841 Epoch[164] Batch [1649]/[1880] Speed: 97.554817 samples/sec accuracy=65.511837 loss=1.426971 lr=0.007828 Epoch[164] Batch [1699]/[1880] Speed: 111.494458 samples/sec accuracy=65.456342 loss=1.428689 lr=0.007814 Epoch[164] Batch [1749]/[1880] Speed: 97.690470 samples/sec accuracy=65.447321 loss=1.428568 lr=0.007801 Epoch[164] Batch [1799]/[1880] Speed: 108.039631 samples/sec accuracy=65.423611 loss=1.429742 lr=0.007788 Epoch[164] Batch [1849]/[1880] Speed: 104.189113 samples/sec accuracy=65.438767 loss=1.429515 lr=0.007775 Batch [0049]/[0151]: acc-top1=56.093750 acc-top5=79.062500 Batch [0099]/[0151]: acc-top1=59.851562 acc-top5=81.234375 Batch [0149]/[0151]: acc-top1=59.197917 acc-top5=80.958333 [Epoch 164] training: accuracy=65.426363 loss=1.429868 [Epoch 164] speed: 104 samples/sec time cost: 2511.631537 [Epoch 164] validation: acc-top1=59.121482 acc-top5=80.908526 loss=1.810324 Epoch[165] Batch [0049]/[1880] Speed: 74.063274 samples/sec accuracy=66.171875 loss=1.378756 lr=0.007755 Epoch[165] Batch [0099]/[1880] Speed: 106.641287 samples/sec accuracy=66.242188 loss=1.394976 lr=0.007742 Epoch[165] Batch [0149]/[1880] Speed: 102.464124 samples/sec accuracy=66.411458 loss=1.381703 lr=0.007729 Epoch[165] Batch [0199]/[1880] Speed: 103.478405 samples/sec accuracy=66.437500 loss=1.381592 lr=0.007716 Epoch[165] Batch [0249]/[1880] Speed: 108.363651 samples/sec accuracy=66.462500 loss=1.378994 lr=0.007703 Epoch[165] Batch [0299]/[1880] Speed: 102.519752 samples/sec accuracy=66.401042 loss=1.380726 lr=0.007690 Epoch[165] Batch [0349]/[1880] Speed: 107.871005 samples/sec accuracy=66.537946 loss=1.376939 lr=0.007677 Epoch[165] Batch [0399]/[1880] Speed: 100.236431 samples/sec accuracy=66.427734 loss=1.382089 lr=0.007664 Epoch[165] Batch [0449]/[1880] Speed: 108.083673 samples/sec accuracy=66.447917 loss=1.382584 lr=0.007651 Epoch[165] Batch [0499]/[1880] Speed: 106.511873 samples/sec accuracy=66.250000 loss=1.389187 lr=0.007638 Epoch[165] Batch [0549]/[1880] Speed: 102.792736 samples/sec accuracy=66.207386 loss=1.390861 lr=0.007625 Epoch[165] Batch [0599]/[1880] Speed: 110.285783 samples/sec accuracy=66.186198 loss=1.393168 lr=0.007612 Epoch[165] Batch [0649]/[1880] Speed: 102.244260 samples/sec accuracy=66.199519 loss=1.393473 lr=0.007599 Epoch[165] Batch [0699]/[1880] Speed: 104.066570 samples/sec accuracy=66.190848 loss=1.393804 lr=0.007586 Epoch[165] Batch [0749]/[1880] Speed: 105.898788 samples/sec accuracy=66.166667 loss=1.394767 lr=0.007574 Epoch[165] Batch [0799]/[1880] Speed: 101.433544 samples/sec accuracy=66.159180 loss=1.394507 lr=0.007561 Epoch[165] Batch [0849]/[1880] Speed: 110.326498 samples/sec accuracy=66.149816 loss=1.395134 lr=0.007548 Epoch[165] Batch [0899]/[1880] Speed: 102.017116 samples/sec accuracy=66.135417 loss=1.396146 lr=0.007535 Epoch[165] Batch [0949]/[1880] Speed: 106.181066 samples/sec accuracy=66.125822 loss=1.396013 lr=0.007522 Epoch[165] Batch [0999]/[1880] Speed: 105.359843 samples/sec accuracy=66.141406 loss=1.395390 lr=0.007509 Epoch[165] Batch [1049]/[1880] Speed: 101.586742 samples/sec accuracy=66.122768 loss=1.396522 lr=0.007497 Epoch[165] Batch [1099]/[1880] Speed: 108.563715 samples/sec accuracy=66.117188 loss=1.395517 lr=0.007484 Epoch[165] Batch [1149]/[1880] Speed: 105.452644 samples/sec accuracy=66.109375 loss=1.395860 lr=0.007471 Epoch[165] Batch [1199]/[1880] Speed: 103.764927 samples/sec accuracy=66.058594 loss=1.397984 lr=0.007458 Epoch[165] Batch [1249]/[1880] Speed: 104.496998 samples/sec accuracy=66.022500 loss=1.399012 lr=0.007445 Epoch[165] Batch [1299]/[1880] Speed: 105.347667 samples/sec accuracy=66.012019 loss=1.398663 lr=0.007433 Epoch[165] Batch [1349]/[1880] Speed: 102.607343 samples/sec accuracy=66.017361 loss=1.398703 lr=0.007420 Epoch[165] Batch [1399]/[1880] Speed: 105.237986 samples/sec accuracy=66.006696 loss=1.399194 lr=0.007407 Epoch[165] Batch [1449]/[1880] Speed: 108.954449 samples/sec accuracy=66.029634 loss=1.397663 lr=0.007394 Epoch[165] Batch [1499]/[1880] Speed: 100.147800 samples/sec accuracy=66.021875 loss=1.397277 lr=0.007382 Epoch[165] Batch [1549]/[1880] Speed: 109.353340 samples/sec accuracy=66.018145 loss=1.397724 lr=0.007369 Epoch[165] Batch [1599]/[1880] Speed: 100.148530 samples/sec accuracy=66.002441 loss=1.398226 lr=0.007356 Epoch[165] Batch [1649]/[1880] Speed: 106.765348 samples/sec accuracy=65.973958 loss=1.399203 lr=0.007344 Epoch[165] Batch [1699]/[1880] Speed: 104.926316 samples/sec accuracy=65.938879 loss=1.400143 lr=0.007331 Epoch[165] Batch [1749]/[1880] Speed: 101.121560 samples/sec accuracy=65.927679 loss=1.400690 lr=0.007318 Epoch[165] Batch [1799]/[1880] Speed: 107.627023 samples/sec accuracy=65.945312 loss=1.400742 lr=0.007306 Epoch[165] Batch [1849]/[1880] Speed: 102.340979 samples/sec accuracy=65.946791 loss=1.400271 lr=0.007293 Batch [0049]/[0151]: acc-top1=56.984375 acc-top5=78.968750 Batch [0099]/[0151]: acc-top1=60.578125 acc-top5=81.328125 Batch [0149]/[0151]: acc-top1=59.312500 acc-top5=81.000000 [Epoch 165] training: accuracy=65.941240 loss=1.400788 [Epoch 165] speed: 104 samples/sec time cost: 2509.985950 [Epoch 165] validation: acc-top1=59.276697 acc-top5=80.986134 loss=1.803301 Epoch[166] Batch [0049]/[1880] Speed: 74.902329 samples/sec accuracy=66.828125 loss=1.369838 lr=0.007273 Epoch[166] Batch [0099]/[1880] Speed: 107.425315 samples/sec accuracy=67.046875 loss=1.348806 lr=0.007260 Epoch[166] Batch [0149]/[1880] Speed: 102.164940 samples/sec accuracy=67.104167 loss=1.354611 lr=0.007248 Epoch[166] Batch [0199]/[1880] Speed: 105.441003 samples/sec accuracy=67.105469 loss=1.357503 lr=0.007235 Epoch[166] Batch [0249]/[1880] Speed: 103.664033 samples/sec accuracy=67.171875 loss=1.348728 lr=0.007222 Epoch[166] Batch [0299]/[1880] Speed: 102.617353 samples/sec accuracy=67.106771 loss=1.351102 lr=0.007210 Epoch[166] Batch [0349]/[1880] Speed: 112.104128 samples/sec accuracy=67.060268 loss=1.350303 lr=0.007197 Epoch[166] Batch [0399]/[1880] Speed: 97.675591 samples/sec accuracy=66.962891 loss=1.351280 lr=0.007185 Epoch[166] Batch [0449]/[1880] Speed: 111.283792 samples/sec accuracy=66.940972 loss=1.353411 lr=0.007172 Epoch[166] Batch [0499]/[1880] Speed: 103.119056 samples/sec accuracy=66.959375 loss=1.352021 lr=0.007160 Epoch[166] Batch [0549]/[1880] Speed: 104.239814 samples/sec accuracy=66.926136 loss=1.356308 lr=0.007147 Epoch[166] Batch [0599]/[1880] Speed: 107.331713 samples/sec accuracy=66.899740 loss=1.357041 lr=0.007135 Epoch[166] Batch [0649]/[1880] Speed: 102.477831 samples/sec accuracy=66.894231 loss=1.355978 lr=0.007122 Epoch[166] Batch [0699]/[1880] Speed: 109.062832 samples/sec accuracy=66.868304 loss=1.358628 lr=0.007110 Epoch[166] Batch [0749]/[1880] Speed: 99.713408 samples/sec accuracy=66.875000 loss=1.360307 lr=0.007097 Epoch[166] Batch [0799]/[1880] Speed: 106.835678 samples/sec accuracy=66.778320 loss=1.361705 lr=0.007085 Epoch[166] Batch [0849]/[1880] Speed: 106.380449 samples/sec accuracy=66.736213 loss=1.364132 lr=0.007072 Epoch[166] Batch [0899]/[1880] Speed: 102.053241 samples/sec accuracy=66.762153 loss=1.363547 lr=0.007060 Epoch[166] Batch [0949]/[1880] Speed: 106.892241 samples/sec accuracy=66.725329 loss=1.365366 lr=0.007047 Epoch[166] Batch [0999]/[1880] Speed: 103.304851 samples/sec accuracy=66.725000 loss=1.365977 lr=0.007035 Epoch[166] Batch [1049]/[1880] Speed: 104.496948 samples/sec accuracy=66.707589 loss=1.365510 lr=0.007022 Epoch[166] Batch [1099]/[1880] Speed: 108.332114 samples/sec accuracy=66.718040 loss=1.365097 lr=0.007010 Epoch[166] Batch [1149]/[1880] Speed: 102.716909 samples/sec accuracy=66.705163 loss=1.366525 lr=0.006998 Epoch[166] Batch [1199]/[1880] Speed: 108.806481 samples/sec accuracy=66.702474 loss=1.367268 lr=0.006985 Epoch[166] Batch [1249]/[1880] Speed: 100.049238 samples/sec accuracy=66.668125 loss=1.368356 lr=0.006973 Epoch[166] Batch [1299]/[1880] Speed: 108.556950 samples/sec accuracy=66.668269 loss=1.368778 lr=0.006960 Epoch[166] Batch [1349]/[1880] Speed: 101.320620 samples/sec accuracy=66.665509 loss=1.369350 lr=0.006948 Epoch[166] Batch [1399]/[1880] Speed: 107.398754 samples/sec accuracy=66.589844 loss=1.372383 lr=0.006936 Epoch[166] Batch [1449]/[1880] Speed: 108.203916 samples/sec accuracy=66.610453 loss=1.372576 lr=0.006923 Epoch[166] Batch [1499]/[1880] Speed: 101.206711 samples/sec accuracy=66.560937 loss=1.374806 lr=0.006911 Epoch[166] Batch [1549]/[1880] Speed: 106.885298 samples/sec accuracy=66.553427 loss=1.375479 lr=0.006899 Epoch[166] Batch [1599]/[1880] Speed: 101.864410 samples/sec accuracy=66.524414 loss=1.377552 lr=0.006886 Epoch[166] Batch [1649]/[1880] Speed: 108.641890 samples/sec accuracy=66.500000 loss=1.378279 lr=0.006874 Epoch[166] Batch [1699]/[1880] Speed: 103.699743 samples/sec accuracy=66.482537 loss=1.378415 lr=0.006862 Epoch[166] Batch [1749]/[1880] Speed: 104.161239 samples/sec accuracy=66.489732 loss=1.378639 lr=0.006850 Epoch[166] Batch [1799]/[1880] Speed: 109.033128 samples/sec accuracy=66.486545 loss=1.378945 lr=0.006837 Epoch[166] Batch [1849]/[1880] Speed: 99.109012 samples/sec accuracy=66.486909 loss=1.378756 lr=0.006825 Batch [0049]/[0151]: acc-top1=57.812500 acc-top5=79.796875 Batch [0099]/[0151]: acc-top1=61.015625 acc-top5=81.781250 Batch [0149]/[0151]: acc-top1=59.437500 acc-top5=81.343750 [Epoch 166] training: accuracy=66.481051 loss=1.379688 [Epoch 166] speed: 104 samples/sec time cost: 2505.989264 [Epoch 166] validation: acc-top1=59.312914 acc-top5=81.275869 loss=1.796862 Epoch[167] Batch [0049]/[1880] Speed: 74.080193 samples/sec accuracy=67.265625 loss=1.339526 lr=0.006805 Epoch[167] Batch [0099]/[1880] Speed: 110.081809 samples/sec accuracy=67.078125 loss=1.352351 lr=0.006793 Epoch[167] Batch [0149]/[1880] Speed: 101.044801 samples/sec accuracy=67.015625 loss=1.365308 lr=0.006781 Epoch[167] Batch [0199]/[1880] Speed: 102.158239 samples/sec accuracy=66.925781 loss=1.363826 lr=0.006769 Epoch[167] Batch [0249]/[1880] Speed: 108.889956 samples/sec accuracy=67.050000 loss=1.355530 lr=0.006757 Epoch[167] Batch [0299]/[1880] Speed: 102.387600 samples/sec accuracy=67.153646 loss=1.356001 lr=0.006744 Epoch[167] Batch [0349]/[1880] Speed: 106.156880 samples/sec accuracy=67.058036 loss=1.358061 lr=0.006732 Epoch[167] Batch [0399]/[1880] Speed: 109.198800 samples/sec accuracy=67.091797 loss=1.358569 lr=0.006720 Epoch[167] Batch [0449]/[1880] Speed: 100.623013 samples/sec accuracy=67.060764 loss=1.359437 lr=0.006708 Epoch[167] Batch [0499]/[1880] Speed: 107.421190 samples/sec accuracy=67.051562 loss=1.359031 lr=0.006696 Epoch[167] Batch [0549]/[1880] Speed: 100.545114 samples/sec accuracy=66.987216 loss=1.359276 lr=0.006684 Epoch[167] Batch [0599]/[1880] Speed: 108.620427 samples/sec accuracy=66.881510 loss=1.360900 lr=0.006671 Epoch[167] Batch [0649]/[1880] Speed: 108.383429 samples/sec accuracy=66.912260 loss=1.359017 lr=0.006659 Epoch[167] Batch [0699]/[1880] Speed: 102.610492 samples/sec accuracy=66.949777 loss=1.358511 lr=0.006647 Epoch[167] Batch [0749]/[1880] Speed: 105.443055 samples/sec accuracy=66.960417 loss=1.358428 lr=0.006635 Epoch[167] Batch [0799]/[1880] Speed: 103.902703 samples/sec accuracy=66.963867 loss=1.356858 lr=0.006623 Epoch[167] Batch [0849]/[1880] Speed: 104.415146 samples/sec accuracy=66.942096 loss=1.357464 lr=0.006611 Epoch[167] Batch [0899]/[1880] Speed: 105.975729 samples/sec accuracy=66.958333 loss=1.356523 lr=0.006599 Epoch[167] Batch [0949]/[1880] Speed: 105.737355 samples/sec accuracy=66.989309 loss=1.355465 lr=0.006587 Epoch[167] Batch [0999]/[1880] Speed: 102.050952 samples/sec accuracy=66.979687 loss=1.356063 lr=0.006575 Epoch[167] Batch [1049]/[1880] Speed: 109.069264 samples/sec accuracy=66.968006 loss=1.356814 lr=0.006563 Epoch[167] Batch [1099]/[1880] Speed: 101.796621 samples/sec accuracy=66.990057 loss=1.357052 lr=0.006551 Epoch[167] Batch [1149]/[1880] Speed: 108.350665 samples/sec accuracy=67.005435 loss=1.356353 lr=0.006539 Epoch[167] Batch [1199]/[1880] Speed: 100.805908 samples/sec accuracy=67.005859 loss=1.356020 lr=0.006527 Epoch[167] Batch [1249]/[1880] Speed: 107.214756 samples/sec accuracy=66.960625 loss=1.357162 lr=0.006515 Epoch[167] Batch [1299]/[1880] Speed: 106.940861 samples/sec accuracy=66.935697 loss=1.357464 lr=0.006503 Epoch[167] Batch [1349]/[1880] Speed: 102.061101 samples/sec accuracy=66.967014 loss=1.356172 lr=0.006491 Epoch[167] Batch [1399]/[1880] Speed: 109.919159 samples/sec accuracy=66.975446 loss=1.355567 lr=0.006479 Epoch[167] Batch [1449]/[1880] Speed: 99.955521 samples/sec accuracy=67.009159 loss=1.354851 lr=0.006467 Epoch[167] Batch [1499]/[1880] Speed: 105.261790 samples/sec accuracy=66.984375 loss=1.355813 lr=0.006455 Epoch[167] Batch [1549]/[1880] Speed: 107.996581 samples/sec accuracy=66.980343 loss=1.356022 lr=0.006443 Epoch[167] Batch [1599]/[1880] Speed: 101.278312 samples/sec accuracy=66.942871 loss=1.357326 lr=0.006431 Epoch[167] Batch [1649]/[1880] Speed: 105.462577 samples/sec accuracy=66.934186 loss=1.357465 lr=0.006419 Epoch[167] Batch [1699]/[1880] Speed: 108.653445 samples/sec accuracy=66.920037 loss=1.357810 lr=0.006407 Epoch[167] Batch [1749]/[1880] Speed: 99.222005 samples/sec accuracy=66.895089 loss=1.359372 lr=0.006395 Epoch[167] Batch [1799]/[1880] Speed: 109.550081 samples/sec accuracy=66.902344 loss=1.358197 lr=0.006383 Epoch[167] Batch [1849]/[1880] Speed: 99.045733 samples/sec accuracy=66.896115 loss=1.358175 lr=0.006371 Batch [0049]/[0151]: acc-top1=57.468750 acc-top5=79.203125 Batch [0099]/[0151]: acc-top1=60.625000 acc-top5=81.437500 Batch [0149]/[0151]: acc-top1=59.546875 acc-top5=81.015625 [Epoch 167] training: accuracy=66.891207 loss=1.358132 [Epoch 167] speed: 104 samples/sec time cost: 2508.538693 [Epoch 167] validation: acc-top1=59.437086 acc-top5=80.965439 loss=1.808860 Epoch[168] Batch [0049]/[1879] Speed: 73.262153 samples/sec accuracy=67.843750 loss=1.328615 lr=0.006352 Epoch[168] Batch [0099]/[1879] Speed: 110.355498 samples/sec accuracy=68.437500 loss=1.312922 lr=0.006341 Epoch[168] Batch [0149]/[1879] Speed: 102.467180 samples/sec accuracy=68.250000 loss=1.324052 lr=0.006329 Epoch[168] Batch [0199]/[1879] Speed: 105.576685 samples/sec accuracy=68.347656 loss=1.320466 lr=0.006317 Epoch[168] Batch [0249]/[1879] Speed: 111.081512 samples/sec accuracy=68.228125 loss=1.318809 lr=0.006305 Epoch[168] Batch [0299]/[1879] Speed: 98.897004 samples/sec accuracy=68.085938 loss=1.320005 lr=0.006293 Epoch[168] Batch [0349]/[1879] Speed: 109.034665 samples/sec accuracy=68.033482 loss=1.322918 lr=0.006282 Epoch[168] Batch [0399]/[1879] Speed: 102.711673 samples/sec accuracy=67.906250 loss=1.322083 lr=0.006270 Epoch[168] Batch 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accuracy=67.930556 loss=1.323412 lr=0.006152 Epoch[168] Batch [0949]/[1879] Speed: 108.520717 samples/sec accuracy=67.909539 loss=1.323405 lr=0.006141 Epoch[168] Batch [0999]/[1879] Speed: 107.792659 samples/sec accuracy=67.807031 loss=1.326062 lr=0.006129 Epoch[168] Batch [1049]/[1879] Speed: 101.357094 samples/sec accuracy=67.732143 loss=1.329130 lr=0.006117 Epoch[168] Batch [1099]/[1879] Speed: 107.215266 samples/sec accuracy=67.725852 loss=1.329691 lr=0.006106 Epoch[168] Batch [1149]/[1879] Speed: 99.664893 samples/sec accuracy=67.680027 loss=1.330528 lr=0.006094 Epoch[168] Batch [1199]/[1879] Speed: 108.685035 samples/sec accuracy=67.642578 loss=1.331437 lr=0.006083 Epoch[168] Batch [1249]/[1879] Speed: 103.209300 samples/sec accuracy=67.645000 loss=1.330519 lr=0.006071 Epoch[168] Batch [1299]/[1879] Speed: 106.355104 samples/sec accuracy=67.679087 loss=1.328385 lr=0.006059 Epoch[168] Batch [1349]/[1879] Speed: 103.808872 samples/sec accuracy=67.717593 loss=1.326155 lr=0.006048 Epoch[168] Batch [1399]/[1879] Speed: 107.086406 samples/sec accuracy=67.698103 loss=1.326232 lr=0.006036 Epoch[168] Batch [1449]/[1879] Speed: 101.689290 samples/sec accuracy=67.691810 loss=1.327310 lr=0.006025 Epoch[168] Batch [1499]/[1879] Speed: 108.707274 samples/sec accuracy=67.674479 loss=1.329419 lr=0.006013 Epoch[168] Batch [1549]/[1879] Speed: 106.795520 samples/sec accuracy=67.664819 loss=1.330008 lr=0.006001 Epoch[168] Batch [1599]/[1879] Speed: 103.264383 samples/sec accuracy=67.635742 loss=1.331095 lr=0.005990 Epoch[168] Batch [1649]/[1879] Speed: 105.342975 samples/sec accuracy=67.640625 loss=1.330427 lr=0.005978 Epoch[168] Batch [1699]/[1879] Speed: 101.601459 samples/sec accuracy=67.607537 loss=1.331067 lr=0.005967 Epoch[168] Batch [1749]/[1879] Speed: 110.475484 samples/sec accuracy=67.595089 loss=1.331186 lr=0.005955 Epoch[168] Batch [1799]/[1879] Speed: 98.868303 samples/sec accuracy=67.577257 loss=1.331428 lr=0.005944 Epoch[168] Batch [1849]/[1879] Speed: 110.037782 samples/sec accuracy=67.562078 loss=1.332919 lr=0.005932 Batch [0049]/[0151]: acc-top1=58.250000 acc-top5=79.984375 Batch [0099]/[0151]: acc-top1=61.375000 acc-top5=82.007812 Batch [0149]/[0151]: acc-top1=60.244792 acc-top5=81.625000 [Epoch 168] training: accuracy=67.554218 loss=1.332967 [Epoch 168] speed: 104 samples/sec time cost: 2508.012932 [Epoch 168] validation: acc-top1=60.156250 acc-top5=81.622517 loss=1.770336 Epoch[169] Batch [0049]/[1880] Speed: 74.240290 samples/sec accuracy=68.687500 loss=1.276962 lr=0.005914 Epoch[169] Batch [0099]/[1880] Speed: 110.383996 samples/sec accuracy=68.921875 loss=1.274571 lr=0.005903 Epoch[169] Batch [0149]/[1880] Speed: 100.877191 samples/sec accuracy=68.734375 loss=1.283748 lr=0.005891 Epoch[169] Batch [0199]/[1880] Speed: 104.032774 samples/sec accuracy=68.500000 loss=1.294531 lr=0.005880 Epoch[169] Batch [0249]/[1880] Speed: 106.792573 samples/sec accuracy=68.321875 loss=1.298135 lr=0.005868 Epoch[169] Batch [0299]/[1880] Speed: 102.977115 samples/sec accuracy=68.442708 loss=1.296475 lr=0.005857 Epoch[169] Batch [0349]/[1880] Speed: 108.282492 samples/sec accuracy=68.430804 loss=1.298120 lr=0.005846 Epoch[169] Batch [0399]/[1880] Speed: 101.570760 samples/sec accuracy=68.462891 loss=1.298942 lr=0.005834 Epoch[169] Batch [0449]/[1880] Speed: 107.900031 samples/sec accuracy=68.508681 loss=1.295602 lr=0.005823 Epoch[169] Batch [0499]/[1880] Speed: 100.411748 samples/sec accuracy=68.435937 loss=1.295985 lr=0.005811 Epoch[169] Batch [0549]/[1880] Speed: 107.442363 samples/sec accuracy=68.389205 loss=1.299120 lr=0.005800 Epoch[169] Batch [0599]/[1880] Speed: 101.090012 samples/sec accuracy=68.321615 loss=1.302574 lr=0.005789 Epoch[169] Batch [0649]/[1880] Speed: 108.187550 samples/sec accuracy=68.161058 loss=1.308349 lr=0.005777 Epoch[169] Batch [0699]/[1880] Speed: 110.146582 samples/sec accuracy=68.198661 loss=1.307099 lr=0.005766 Epoch[169] Batch [0749]/[1880] Speed: 100.140809 samples/sec accuracy=68.195833 loss=1.307379 lr=0.005755 Epoch[169] Batch [0799]/[1880] Speed: 110.243674 samples/sec accuracy=68.194336 loss=1.306664 lr=0.005743 Epoch[169] Batch [0849]/[1880] Speed: 100.699201 samples/sec accuracy=68.182904 loss=1.306780 lr=0.005732 Epoch[169] Batch [0899]/[1880] Speed: 105.684695 samples/sec accuracy=68.143229 loss=1.308185 lr=0.005721 Epoch[169] Batch [0949]/[1880] Speed: 100.713609 samples/sec accuracy=68.111020 loss=1.308208 lr=0.005710 Epoch[169] Batch [0999]/[1880] Speed: 111.538188 samples/sec accuracy=68.090625 loss=1.308114 lr=0.005698 Epoch[169] Batch [1049]/[1880] Speed: 98.639427 samples/sec accuracy=68.132440 loss=1.306678 lr=0.005687 Epoch[169] Batch [1099]/[1880] Speed: 107.653688 samples/sec accuracy=68.112926 loss=1.307730 lr=0.005676 Epoch[169] Batch [1149]/[1880] Speed: 109.901812 samples/sec accuracy=68.069973 loss=1.309280 lr=0.005665 Epoch[169] Batch [1199]/[1880] Speed: 97.639816 samples/sec accuracy=68.049479 loss=1.308750 lr=0.005653 Epoch[169] Batch [1249]/[1880] Speed: 110.937535 samples/sec accuracy=68.052500 loss=1.309115 lr=0.005642 Epoch[169] Batch [1299]/[1880] Speed: 103.293742 samples/sec accuracy=68.063101 loss=1.309024 lr=0.005631 Epoch[169] Batch [1349]/[1880] Speed: 106.814983 samples/sec accuracy=68.065972 loss=1.308551 lr=0.005620 Epoch[169] Batch [1399]/[1880] Speed: 103.196586 samples/sec accuracy=68.023996 loss=1.310341 lr=0.005609 Epoch[169] Batch [1449]/[1880] Speed: 102.514460 samples/sec accuracy=68.000000 loss=1.311085 lr=0.005597 Epoch[169] Batch [1499]/[1880] Speed: 108.334948 samples/sec accuracy=68.015625 loss=1.310517 lr=0.005586 Epoch[169] Batch [1549]/[1880] Speed: 102.758002 samples/sec accuracy=67.995968 loss=1.311695 lr=0.005575 Epoch[169] Batch [1599]/[1880] Speed: 106.697922 samples/sec accuracy=68.009277 loss=1.311018 lr=0.005564 Epoch[169] Batch [1649]/[1880] Speed: 109.312442 samples/sec accuracy=67.998106 loss=1.311892 lr=0.005553 Epoch[169] Batch [1699]/[1880] Speed: 100.408897 samples/sec accuracy=67.979779 loss=1.312777 lr=0.005542 Epoch[169] Batch [1749]/[1880] Speed: 106.375247 samples/sec accuracy=67.968750 loss=1.312448 lr=0.005530 Epoch[169] Batch [1799]/[1880] Speed: 104.036719 samples/sec accuracy=67.959201 loss=1.313186 lr=0.005519 Epoch[169] Batch [1849]/[1880] Speed: 107.370072 samples/sec accuracy=67.953970 loss=1.313151 lr=0.005508 Batch [0049]/[0151]: acc-top1=57.671875 acc-top5=80.171875 Batch [0099]/[0151]: acc-top1=61.296875 acc-top5=82.179688 Batch [0149]/[0151]: acc-top1=60.187500 acc-top5=81.755208 [Epoch 169] training: accuracy=67.960023 loss=1.313238 [Epoch 169] speed: 104 samples/sec time cost: 2507.424883 [Epoch 169] validation: acc-top1=60.151076 acc-top5=81.736341 loss=1.774364 Epoch[170] Batch [0049]/[1880] Speed: 75.379673 samples/sec accuracy=69.656250 loss=1.258841 lr=0.005491 Epoch[170] Batch [0099]/[1880] Speed: 108.501282 samples/sec accuracy=69.898438 loss=1.241976 lr=0.005479 Epoch[170] Batch [0149]/[1880] Speed: 102.044597 samples/sec accuracy=69.843750 loss=1.246384 lr=0.005468 Epoch[170] Batch [0199]/[1880] Speed: 107.315809 samples/sec accuracy=69.398438 loss=1.253093 lr=0.005457 Epoch[170] Batch [0249]/[1880] Speed: 106.164807 samples/sec accuracy=69.350000 loss=1.251997 lr=0.005446 Epoch[170] Batch [0299]/[1880] Speed: 102.890026 samples/sec accuracy=69.250000 loss=1.254274 lr=0.005435 Epoch[170] Batch [0349]/[1880] Speed: 106.576551 samples/sec accuracy=69.156250 loss=1.258659 lr=0.005424 Epoch[170] Batch [0399]/[1880] Speed: 100.260372 samples/sec accuracy=69.027344 loss=1.263748 lr=0.005413 Epoch[170] Batch [0449]/[1880] Speed: 109.217073 samples/sec accuracy=68.984375 loss=1.263982 lr=0.005402 Epoch[170] Batch [0499]/[1880] Speed: 101.684244 samples/sec accuracy=68.939063 loss=1.267753 lr=0.005391 Epoch[170] Batch [0549]/[1880] Speed: 107.575058 samples/sec accuracy=68.870739 loss=1.269990 lr=0.005380 Epoch[170] Batch [0599]/[1880] Speed: 102.990631 samples/sec accuracy=68.798177 loss=1.271221 lr=0.005369 Epoch[170] Batch [0649]/[1880] Speed: 103.097404 samples/sec accuracy=68.798077 loss=1.270697 lr=0.005358 Epoch[170] Batch [0699]/[1880] Speed: 109.977220 samples/sec accuracy=68.742188 loss=1.272864 lr=0.005348 Epoch[170] Batch [0749]/[1880] Speed: 101.396948 samples/sec accuracy=68.712500 loss=1.275376 lr=0.005337 Epoch[170] Batch [0799]/[1880] Speed: 104.373645 samples/sec accuracy=68.693359 loss=1.276685 lr=0.005326 Epoch[170] Batch [0849]/[1880] Speed: 105.997817 samples/sec accuracy=68.641544 loss=1.280234 lr=0.005315 Epoch[170] Batch [0899]/[1880] Speed: 105.671312 samples/sec accuracy=68.673611 loss=1.278544 lr=0.005304 Epoch[170] Batch [0949]/[1880] Speed: 104.218445 samples/sec accuracy=68.666118 loss=1.278673 lr=0.005293 Epoch[170] Batch [0999]/[1880] Speed: 102.681366 samples/sec accuracy=68.657031 loss=1.280467 lr=0.005282 Epoch[170] Batch [1049]/[1880] Speed: 105.936607 samples/sec accuracy=68.633929 loss=1.280818 lr=0.005271 Epoch[170] Batch [1099]/[1880] Speed: 104.047576 samples/sec accuracy=68.586648 loss=1.283202 lr=0.005260 Epoch[170] Batch [1149]/[1880] Speed: 109.045853 samples/sec accuracy=68.591033 loss=1.283452 lr=0.005250 Epoch[170] Batch [1199]/[1880] Speed: 101.392850 samples/sec accuracy=68.564453 loss=1.284959 lr=0.005239 Epoch[170] Batch [1249]/[1880] Speed: 106.775482 samples/sec accuracy=68.592500 loss=1.283647 lr=0.005228 Epoch[170] Batch [1299]/[1880] Speed: 103.642314 samples/sec accuracy=68.589543 loss=1.284344 lr=0.005217 Epoch[170] Batch [1349]/[1880] Speed: 104.922445 samples/sec accuracy=68.586806 loss=1.284511 lr=0.005206 Epoch[170] Batch [1399]/[1880] Speed: 107.616569 samples/sec accuracy=68.632812 loss=1.282644 lr=0.005195 Epoch[170] Batch [1449]/[1880] Speed: 101.176801 samples/sec accuracy=68.626616 loss=1.283942 lr=0.005185 Epoch[170] Batch [1499]/[1880] Speed: 109.712711 samples/sec accuracy=68.604167 loss=1.285429 lr=0.005174 Epoch[170] Batch [1549]/[1880] Speed: 104.437226 samples/sec accuracy=68.583669 loss=1.287000 lr=0.005163 Epoch[170] Batch [1599]/[1880] Speed: 101.805339 samples/sec accuracy=68.555664 loss=1.288479 lr=0.005152 Epoch[170] Batch [1649]/[1880] Speed: 109.120563 samples/sec accuracy=68.548295 loss=1.288084 lr=0.005142 Epoch[170] Batch [1699]/[1880] Speed: 102.838585 samples/sec accuracy=68.516544 loss=1.289381 lr=0.005131 Epoch[170] Batch [1749]/[1880] Speed: 104.445767 samples/sec accuracy=68.486607 loss=1.290368 lr=0.005120 Epoch[170] Batch [1799]/[1880] Speed: 107.158238 samples/sec accuracy=68.477431 loss=1.290784 lr=0.005110 Epoch[170] Batch [1849]/[1880] Speed: 99.848062 samples/sec accuracy=68.466216 loss=1.291019 lr=0.005099 Batch [0049]/[0151]: acc-top1=57.562500 acc-top5=80.109375 Batch [0099]/[0151]: acc-top1=61.476562 acc-top5=82.289062 Batch [0149]/[0151]: acc-top1=60.380208 acc-top5=81.661458 [Epoch 170] training: accuracy=68.475731 loss=1.291197 [Epoch 170] speed: 104 samples/sec time cost: 2506.624971 [Epoch 170] validation: acc-top1=60.290770 acc-top5=81.627690 loss=1.775539 Epoch[171] Batch [0049]/[1880] Speed: 73.705498 samples/sec accuracy=69.687500 loss=1.236430 lr=0.005082 Epoch[171] Batch [0099]/[1880] Speed: 109.994913 samples/sec accuracy=69.484375 loss=1.239678 lr=0.005071 Epoch[171] Batch [0149]/[1880] Speed: 101.741113 samples/sec accuracy=69.729167 loss=1.234007 lr=0.005060 Epoch[171] Batch [0199]/[1880] Speed: 103.725017 samples/sec accuracy=69.421875 loss=1.243233 lr=0.005050 Epoch[171] Batch [0249]/[1880] Speed: 109.022994 samples/sec accuracy=69.571875 loss=1.237958 lr=0.005039 Epoch[171] Batch [0299]/[1880] Speed: 98.895037 samples/sec accuracy=69.494792 loss=1.242971 lr=0.005028 Epoch[171] Batch [0349]/[1880] Speed: 110.596156 samples/sec accuracy=69.622768 loss=1.241574 lr=0.005018 Epoch[171] Batch [0399]/[1880] Speed: 103.117638 samples/sec accuracy=69.566406 loss=1.243836 lr=0.005007 Epoch[171] Batch [0449]/[1880] Speed: 105.797250 samples/sec accuracy=69.522569 loss=1.246751 lr=0.004997 Epoch[171] Batch [0499]/[1880] Speed: 107.486457 samples/sec accuracy=69.470312 loss=1.250360 lr=0.004986 Epoch[171] Batch [0549]/[1880] Speed: 102.547061 samples/sec accuracy=69.451705 loss=1.253428 lr=0.004976 Epoch[171] Batch [0599]/[1880] Speed: 107.722363 samples/sec accuracy=69.475260 loss=1.254107 lr=0.004965 Epoch[171] Batch [0649]/[1880] Speed: 100.337760 samples/sec accuracy=69.454327 loss=1.256737 lr=0.004954 Epoch[171] Batch [0699]/[1880] Speed: 108.260404 samples/sec accuracy=69.319196 loss=1.260671 lr=0.004944 Epoch[171] Batch [0749]/[1880] Speed: 107.849945 samples/sec accuracy=69.259375 loss=1.261912 lr=0.004933 Epoch[171] Batch [0799]/[1880] Speed: 100.718546 samples/sec accuracy=69.241211 loss=1.263342 lr=0.004923 Epoch[171] Batch [0849]/[1880] Speed: 106.123541 samples/sec accuracy=69.239890 loss=1.262994 lr=0.004912 Epoch[171] Batch [0899]/[1880] Speed: 107.368098 samples/sec accuracy=69.250868 loss=1.262096 lr=0.004902 Epoch[171] Batch [0949]/[1880] Speed: 98.032898 samples/sec accuracy=69.245066 loss=1.262183 lr=0.004891 Epoch[171] Batch [0999]/[1880] Speed: 111.804677 samples/sec accuracy=69.252344 loss=1.261585 lr=0.004881 Epoch[171] Batch [1049]/[1880] Speed: 101.856956 samples/sec accuracy=69.247024 loss=1.262457 lr=0.004870 Epoch[171] Batch [1099]/[1880] Speed: 105.053653 samples/sec accuracy=69.259943 loss=1.262607 lr=0.004860 Epoch[171] Batch [1149]/[1880] Speed: 109.742057 samples/sec accuracy=69.238451 loss=1.264171 lr=0.004849 Epoch[171] Batch [1199]/[1880] Speed: 99.506423 samples/sec accuracy=69.222005 loss=1.265221 lr=0.004839 Epoch[171] Batch [1249]/[1880] Speed: 109.106014 samples/sec accuracy=69.183750 loss=1.266154 lr=0.004829 Epoch[171] Batch [1299]/[1880] Speed: 99.710500 samples/sec accuracy=69.179087 loss=1.266155 lr=0.004818 Epoch[171] Batch [1349]/[1880] Speed: 106.853096 samples/sec accuracy=69.188657 loss=1.265371 lr=0.004808 Epoch[171] Batch [1399]/[1880] Speed: 105.484350 samples/sec accuracy=69.152902 loss=1.267126 lr=0.004797 Epoch[171] Batch [1449]/[1880] Speed: 105.031054 samples/sec accuracy=69.123922 loss=1.268239 lr=0.004787 Epoch[171] Batch [1499]/[1880] Speed: 106.467851 samples/sec accuracy=69.109375 loss=1.268352 lr=0.004777 Epoch[171] Batch [1549]/[1880] Speed: 103.226357 samples/sec accuracy=69.120968 loss=1.267056 lr=0.004766 Epoch[171] Batch [1599]/[1880] Speed: 109.204436 samples/sec accuracy=69.144043 loss=1.266569 lr=0.004756 Epoch[171] Batch [1649]/[1880] Speed: 99.896026 samples/sec accuracy=69.159091 loss=1.265904 lr=0.004746 Epoch[171] Batch [1699]/[1880] Speed: 108.878908 samples/sec accuracy=69.159926 loss=1.265728 lr=0.004735 Epoch[171] Batch [1749]/[1880] Speed: 98.485412 samples/sec accuracy=69.156250 loss=1.266241 lr=0.004725 Epoch[171] Batch [1799]/[1880] Speed: 110.864488 samples/sec accuracy=69.141927 loss=1.267162 lr=0.004715 Epoch[171] Batch [1849]/[1880] Speed: 96.835211 samples/sec accuracy=69.140203 loss=1.267464 lr=0.004704 Batch [0049]/[0151]: acc-top1=58.109375 acc-top5=79.968750 Batch [0099]/[0151]: acc-top1=61.812500 acc-top5=82.132812 Batch [0149]/[0151]: acc-top1=60.760417 acc-top5=81.859375 [Epoch 171] training: accuracy=69.131898 loss=1.268054 [Epoch 171] speed: 104 samples/sec time cost: 2509.672142 [Epoch 171] validation: acc-top1=60.683982 acc-top5=81.819123 loss=1.763370 Epoch[172] Batch [0049]/[1880] Speed: 75.145401 samples/sec accuracy=69.625000 loss=1.231805 lr=0.004688 Epoch[172] Batch [0099]/[1880] Speed: 106.875002 samples/sec accuracy=69.687500 loss=1.234953 lr=0.004678 Epoch[172] Batch [0149]/[1880] Speed: 103.194291 samples/sec accuracy=69.380208 loss=1.250323 lr=0.004667 Epoch[172] Batch [0199]/[1880] Speed: 100.488804 samples/sec accuracy=69.546875 loss=1.248671 lr=0.004657 Epoch[172] Batch [0249]/[1880] Speed: 112.301888 samples/sec accuracy=69.678125 loss=1.244694 lr=0.004647 Epoch[172] Batch [0299]/[1880] Speed: 105.077553 samples/sec accuracy=69.747396 loss=1.237472 lr=0.004637 Epoch[172] Batch 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accuracy=69.708984 loss=1.239221 lr=0.004535 Epoch[172] Batch [0849]/[1880] Speed: 108.781798 samples/sec accuracy=69.676471 loss=1.240994 lr=0.004525 Epoch[172] Batch [0899]/[1880] Speed: 103.924305 samples/sec accuracy=69.704861 loss=1.240110 lr=0.004515 Epoch[172] Batch [0949]/[1880] Speed: 105.734065 samples/sec accuracy=69.688322 loss=1.239257 lr=0.004505 Epoch[172] Batch [0999]/[1880] Speed: 106.430969 samples/sec accuracy=69.685937 loss=1.239748 lr=0.004495 Epoch[172] Batch [1049]/[1880] Speed: 102.848429 samples/sec accuracy=69.618304 loss=1.241666 lr=0.004485 Epoch[172] Batch [1099]/[1880] Speed: 105.139332 samples/sec accuracy=69.563920 loss=1.244478 lr=0.004474 Epoch[172] Batch [1149]/[1880] Speed: 104.379878 samples/sec accuracy=69.569973 loss=1.243493 lr=0.004464 Epoch[172] Batch [1199]/[1880] Speed: 106.723648 samples/sec accuracy=69.575521 loss=1.243682 lr=0.004454 Epoch[172] Batch [1249]/[1880] Speed: 102.591131 samples/sec accuracy=69.602500 loss=1.242380 lr=0.004444 Epoch[172] Batch [1299]/[1880] Speed: 109.443199 samples/sec accuracy=69.582933 loss=1.242322 lr=0.004434 Epoch[172] Batch [1349]/[1880] Speed: 107.331332 samples/sec accuracy=69.564815 loss=1.242884 lr=0.004424 Epoch[172] Batch [1399]/[1880] Speed: 102.353694 samples/sec accuracy=69.581473 loss=1.242088 lr=0.004414 Epoch[172] Batch [1449]/[1880] Speed: 105.962863 samples/sec accuracy=69.597522 loss=1.242485 lr=0.004404 Epoch[172] Batch [1499]/[1880] Speed: 106.718533 samples/sec accuracy=69.572917 loss=1.243553 lr=0.004394 Epoch[172] Batch [1549]/[1880] Speed: 102.574273 samples/sec accuracy=69.566028 loss=1.244013 lr=0.004384 Epoch[172] Batch [1599]/[1880] Speed: 107.563487 samples/sec accuracy=69.562012 loss=1.244454 lr=0.004375 Epoch[172] Batch [1649]/[1880] Speed: 102.177238 samples/sec accuracy=69.569602 loss=1.243907 lr=0.004365 Epoch[172] Batch [1699]/[1880] Speed: 108.922702 samples/sec accuracy=69.568474 loss=1.243788 lr=0.004355 Epoch[172] Batch [1749]/[1880] Speed: 98.986035 samples/sec accuracy=69.573214 loss=1.242917 lr=0.004345 Epoch[172] Batch [1799]/[1880] Speed: 108.648037 samples/sec accuracy=69.564670 loss=1.243645 lr=0.004335 Epoch[172] Batch [1849]/[1880] Speed: 102.297371 samples/sec accuracy=69.553632 loss=1.244184 lr=0.004325 Batch [0049]/[0151]: acc-top1=58.250000 acc-top5=80.187500 Batch [0099]/[0151]: acc-top1=62.226563 acc-top5=82.359375 Batch [0149]/[0151]: acc-top1=60.692708 acc-top5=81.838542 [Epoch 172] training: accuracy=69.547872 loss=1.244495 [Epoch 172] speed: 104 samples/sec time cost: 2505.253204 [Epoch 172] validation: acc-top1=60.601200 acc-top5=81.803601 loss=1.769827 Epoch[173] Batch [0049]/[1880] Speed: 73.404469 samples/sec accuracy=70.296875 loss=1.211241 lr=0.004309 Epoch[173] Batch [0099]/[1880] Speed: 109.973841 samples/sec accuracy=69.937500 loss=1.217393 lr=0.004299 Epoch[173] Batch [0149]/[1880] Speed: 105.285385 samples/sec accuracy=69.984375 loss=1.214772 lr=0.004289 Epoch[173] Batch [0199]/[1880] Speed: 101.377946 samples/sec accuracy=70.109375 loss=1.215504 lr=0.004280 Epoch[173] Batch [0249]/[1880] Speed: 109.204156 samples/sec accuracy=70.246875 loss=1.208902 lr=0.004270 Epoch[173] Batch [0299]/[1880] Speed: 105.689442 samples/sec accuracy=70.171875 loss=1.213928 lr=0.004260 Epoch[173] Batch [0349]/[1880] Speed: 103.754721 samples/sec accuracy=70.196429 loss=1.212158 lr=0.004250 Epoch[173] Batch [0399]/[1880] Speed: 100.876323 samples/sec accuracy=70.171875 loss=1.211594 lr=0.004240 Epoch[173] Batch [0449]/[1880] Speed: 111.988423 samples/sec accuracy=70.237847 loss=1.213795 lr=0.004231 Epoch[173] Batch [0499]/[1880] Speed: 100.225025 samples/sec accuracy=70.239063 loss=1.213218 lr=0.004221 Epoch[173] Batch [0549]/[1880] Speed: 105.612617 samples/sec accuracy=70.217330 loss=1.212614 lr=0.004211 Epoch[173] Batch [0599]/[1880] Speed: 109.234481 samples/sec accuracy=70.209635 loss=1.213112 lr=0.004201 Epoch[173] Batch [0649]/[1880] Speed: 98.035095 samples/sec accuracy=70.199519 loss=1.213329 lr=0.004192 Epoch[173] Batch [0699]/[1880] Speed: 108.356073 samples/sec accuracy=70.231027 loss=1.213564 lr=0.004182 Epoch[173] Batch [0749]/[1880] Speed: 102.159739 samples/sec accuracy=70.284375 loss=1.213206 lr=0.004172 Epoch[173] Batch [0799]/[1880] Speed: 106.058205 samples/sec accuracy=70.266602 loss=1.213928 lr=0.004162 Epoch[173] Batch [0849]/[1880] Speed: 101.778006 samples/sec accuracy=70.240809 loss=1.215632 lr=0.004153 Epoch[173] Batch [0899]/[1880] Speed: 110.270314 samples/sec accuracy=70.255208 loss=1.216242 lr=0.004143 Epoch[173] Batch [0949]/[1880] Speed: 102.684011 samples/sec accuracy=70.265625 loss=1.215746 lr=0.004133 Epoch[173] Batch [0999]/[1880] Speed: 107.797292 samples/sec accuracy=70.232812 loss=1.216745 lr=0.004124 Epoch[173] Batch [1049]/[1880] Speed: 101.641234 samples/sec accuracy=70.231399 loss=1.216796 lr=0.004114 Epoch[173] Batch [1099]/[1880] Speed: 108.225536 samples/sec accuracy=70.230114 loss=1.215977 lr=0.004104 Epoch[173] Batch [1149]/[1880] Speed: 103.103338 samples/sec accuracy=70.239130 loss=1.215732 lr=0.004095 Epoch[173] Batch [1199]/[1880] Speed: 106.168178 samples/sec accuracy=70.181641 loss=1.217420 lr=0.004085 Epoch[173] Batch [1249]/[1880] Speed: 107.254438 samples/sec accuracy=70.171875 loss=1.217866 lr=0.004075 Epoch[173] Batch [1299]/[1880] Speed: 102.569364 samples/sec accuracy=70.134615 loss=1.218346 lr=0.004066 Epoch[173] Batch [1349]/[1880] Speed: 106.840486 samples/sec accuracy=70.129051 loss=1.218202 lr=0.004056 Epoch[173] Batch [1399]/[1880] Speed: 106.187938 samples/sec accuracy=70.139509 loss=1.218215 lr=0.004047 Epoch[173] Batch [1449]/[1880] Speed: 102.989513 samples/sec accuracy=70.139547 loss=1.218142 lr=0.004037 Epoch[173] Batch [1499]/[1880] Speed: 107.423019 samples/sec accuracy=70.133333 loss=1.218245 lr=0.004028 Epoch[173] Batch [1549]/[1880] Speed: 105.830908 samples/sec accuracy=70.127016 loss=1.220091 lr=0.004018 Epoch[173] Batch [1599]/[1880] Speed: 103.759374 samples/sec accuracy=70.112793 loss=1.220794 lr=0.004008 Epoch[173] Batch [1649]/[1880] Speed: 104.149040 samples/sec accuracy=70.134943 loss=1.221048 lr=0.003999 Epoch[173] Batch [1699]/[1880] Speed: 104.149335 samples/sec accuracy=70.141085 loss=1.220426 lr=0.003989 Epoch[173] Batch [1749]/[1880] Speed: 107.496776 samples/sec accuracy=70.125000 loss=1.221033 lr=0.003980 Epoch[173] Batch [1799]/[1880] Speed: 105.659036 samples/sec accuracy=70.129774 loss=1.220903 lr=0.003970 Epoch[173] Batch [1849]/[1880] Speed: 106.504693 samples/sec accuracy=70.125422 loss=1.221552 lr=0.003961 Batch [0049]/[0151]: acc-top1=58.140625 acc-top5=79.984375 Batch [0099]/[0151]: acc-top1=61.945313 acc-top5=82.289062 Batch [0149]/[0151]: acc-top1=60.770833 acc-top5=81.593750 [Epoch 173] training: accuracy=70.124252 loss=1.221614 [Epoch 173] speed: 104 samples/sec time cost: 2506.815041 [Epoch 173] validation: acc-top1=60.678808 acc-top5=81.570778 loss=1.763277 Epoch[174] Batch [0049]/[1879] Speed: 74.285836 samples/sec accuracy=70.468750 loss=1.191867 lr=0.003946 Epoch[174] Batch [0099]/[1879] Speed: 109.743473 samples/sec accuracy=70.437500 loss=1.198598 lr=0.003936 Epoch[174] Batch [0149]/[1879] Speed: 101.728226 samples/sec accuracy=70.500000 loss=1.192684 lr=0.003927 Epoch[174] Batch [0199]/[1879] Speed: 104.992779 samples/sec accuracy=70.699219 loss=1.187936 lr=0.003917 Epoch[174] Batch [0249]/[1879] Speed: 107.155769 samples/sec accuracy=70.862500 loss=1.185509 lr=0.003908 Epoch[174] Batch [0299]/[1879] Speed: 100.764022 samples/sec accuracy=70.911458 loss=1.182664 lr=0.003899 Epoch[174] Batch [0349]/[1879] Speed: 107.744642 samples/sec accuracy=70.866071 loss=1.187131 lr=0.003889 Epoch[174] Batch [0399]/[1879] Speed: 103.830787 samples/sec accuracy=70.919922 loss=1.184014 lr=0.003880 Epoch[174] Batch [0449]/[1879] Speed: 103.072953 samples/sec accuracy=70.927083 loss=1.183327 lr=0.003870 Epoch[174] Batch [0499]/[1879] Speed: 106.805871 samples/sec accuracy=70.935937 loss=1.182405 lr=0.003861 Epoch[174] Batch [0549]/[1879] Speed: 102.923267 samples/sec accuracy=70.869318 loss=1.183713 lr=0.003852 Epoch[174] Batch [0599]/[1879] Speed: 107.570105 samples/sec accuracy=70.825521 loss=1.186873 lr=0.003842 Epoch[174] Batch [0649]/[1879] Speed: 102.790022 samples/sec accuracy=70.842548 loss=1.186845 lr=0.003833 Epoch[174] Batch [0699]/[1879] Speed: 106.241008 samples/sec accuracy=70.770089 loss=1.188518 lr=0.003824 Epoch[174] Batch [0749]/[1879] Speed: 103.865938 samples/sec accuracy=70.754167 loss=1.189504 lr=0.003814 Epoch[174] Batch [0799]/[1879] Speed: 104.496228 samples/sec accuracy=70.799805 loss=1.188649 lr=0.003805 Epoch[174] Batch [0849]/[1879] Speed: 101.622599 samples/sec accuracy=70.807904 loss=1.187270 lr=0.003796 Epoch[174] Batch [0899]/[1879] Speed: 110.492859 samples/sec accuracy=70.846354 loss=1.185482 lr=0.003786 Epoch[174] Batch [0949]/[1879] Speed: 101.686185 samples/sec accuracy=70.819079 loss=1.187414 lr=0.003777 Epoch[174] Batch [0999]/[1879] Speed: 106.549789 samples/sec accuracy=70.804688 loss=1.188725 lr=0.003768 Epoch[174] Batch [1049]/[1879] Speed: 101.183687 samples/sec accuracy=70.800595 loss=1.188428 lr=0.003759 Epoch[174] Batch [1099]/[1879] Speed: 108.179180 samples/sec accuracy=70.791903 loss=1.190489 lr=0.003749 Epoch[174] Batch [1149]/[1879] Speed: 106.301249 samples/sec accuracy=70.764946 loss=1.191668 lr=0.003740 Epoch[174] Batch [1199]/[1879] Speed: 99.269611 samples/sec accuracy=70.774740 loss=1.192266 lr=0.003731 Epoch[174] Batch [1249]/[1879] Speed: 110.774868 samples/sec accuracy=70.731875 loss=1.194194 lr=0.003722 Epoch[174] Batch [1299]/[1879] Speed: 100.359518 samples/sec accuracy=70.745192 loss=1.193758 lr=0.003713 Epoch[174] Batch [1349]/[1879] Speed: 107.012080 samples/sec accuracy=70.732060 loss=1.193354 lr=0.003703 Epoch[174] Batch [1399]/[1879] Speed: 102.420388 samples/sec accuracy=70.746652 loss=1.192997 lr=0.003694 Epoch[174] Batch [1449]/[1879] Speed: 107.827018 samples/sec accuracy=70.761853 loss=1.192959 lr=0.003685 Epoch[174] Batch [1499]/[1879] Speed: 103.869463 samples/sec accuracy=70.770833 loss=1.193491 lr=0.003676 Epoch[174] Batch [1549]/[1879] Speed: 102.312820 samples/sec accuracy=70.716734 loss=1.195824 lr=0.003667 Epoch[174] Batch [1599]/[1879] Speed: 105.785445 samples/sec accuracy=70.683105 loss=1.197599 lr=0.003658 Epoch[174] Batch [1649]/[1879] Speed: 104.247492 samples/sec accuracy=70.681345 loss=1.197703 lr=0.003649 Epoch[174] Batch [1699]/[1879] Speed: 106.629846 samples/sec accuracy=70.682904 loss=1.197331 lr=0.003639 Epoch[174] Batch [1749]/[1879] Speed: 106.613939 samples/sec accuracy=70.697768 loss=1.196271 lr=0.003630 Epoch[174] Batch [1799]/[1879] Speed: 103.658472 samples/sec accuracy=70.703559 loss=1.195464 lr=0.003621 Epoch[174] Batch [1849]/[1879] Speed: 103.548865 samples/sec accuracy=70.705236 loss=1.195596 lr=0.003612 Batch [0049]/[0151]: acc-top1=57.859375 acc-top5=79.546875 Batch [0099]/[0151]: acc-top1=61.875000 acc-top5=82.085938 Batch [0149]/[0151]: acc-top1=60.604167 acc-top5=81.718750 [Epoch 174] training: accuracy=70.700838 loss=1.195420 [Epoch 174] speed: 104 samples/sec time cost: 2509.652221 [Epoch 174] validation: acc-top1=60.502897 acc-top5=81.669081 loss=1.756355 Epoch[175] Batch [0049]/[1880] Speed: 74.004619 samples/sec accuracy=71.281250 loss=1.198120 lr=0.003598 Epoch[175] Batch [0099]/[1880] Speed: 105.978840 samples/sec accuracy=71.484375 loss=1.173569 lr=0.003589 Epoch[175] Batch [0149]/[1880] Speed: 106.053864 samples/sec accuracy=71.796875 loss=1.157293 lr=0.003580 Epoch[175] Batch [0199]/[1880] Speed: 101.642137 samples/sec accuracy=71.492188 loss=1.157675 lr=0.003571 Epoch[175] Batch [0249]/[1880] Speed: 107.890264 samples/sec accuracy=71.475000 loss=1.158913 lr=0.003562 Epoch[175] Batch [0299]/[1880] Speed: 102.122037 samples/sec accuracy=71.442708 loss=1.161004 lr=0.003553 Epoch[175] Batch [0349]/[1880] Speed: 103.533265 samples/sec accuracy=71.495536 loss=1.158673 lr=0.003544 Epoch[175] Batch 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accuracy=71.485294 loss=1.163054 lr=0.003454 Epoch[175] Batch [0899]/[1880] Speed: 102.941145 samples/sec accuracy=71.453125 loss=1.163823 lr=0.003446 Epoch[175] Batch [0949]/[1880] Speed: 106.025737 samples/sec accuracy=71.480263 loss=1.163557 lr=0.003437 Epoch[175] Batch [0999]/[1880] Speed: 104.692071 samples/sec accuracy=71.479687 loss=1.164026 lr=0.003428 Epoch[175] Batch [1049]/[1880] Speed: 104.077575 samples/sec accuracy=71.455357 loss=1.164021 lr=0.003419 Epoch[175] Batch [1099]/[1880] Speed: 106.352844 samples/sec accuracy=71.430398 loss=1.165352 lr=0.003410 Epoch[175] Batch [1149]/[1880] Speed: 102.967620 samples/sec accuracy=71.460598 loss=1.165328 lr=0.003401 Epoch[175] Batch [1199]/[1880] Speed: 106.635461 samples/sec accuracy=71.427734 loss=1.166772 lr=0.003393 Epoch[175] Batch [1249]/[1880] Speed: 106.750704 samples/sec accuracy=71.406875 loss=1.167762 lr=0.003384 Epoch[175] Batch [1299]/[1880] Speed: 101.574048 samples/sec accuracy=71.397236 loss=1.168617 lr=0.003375 Epoch[175] Batch [1349]/[1880] Speed: 109.060100 samples/sec accuracy=71.403356 loss=1.168937 lr=0.003366 Epoch[175] Batch [1399]/[1880] Speed: 96.895091 samples/sec accuracy=71.392299 loss=1.169421 lr=0.003357 Epoch[175] Batch [1449]/[1880] Speed: 110.997897 samples/sec accuracy=71.408944 loss=1.168630 lr=0.003349 Epoch[175] Batch [1499]/[1880] Speed: 103.733875 samples/sec accuracy=71.372396 loss=1.170011 lr=0.003340 Epoch[175] Batch [1549]/[1880] Speed: 102.967804 samples/sec accuracy=71.344758 loss=1.170130 lr=0.003331 Epoch[175] Batch [1599]/[1880] Speed: 107.407510 samples/sec accuracy=71.319336 loss=1.171164 lr=0.003323 Epoch[175] Batch [1649]/[1880] Speed: 100.380860 samples/sec accuracy=71.303977 loss=1.171040 lr=0.003314 Epoch[175] Batch [1699]/[1880] Speed: 108.951313 samples/sec accuracy=71.337776 loss=1.169143 lr=0.003305 Epoch[175] Batch [1749]/[1880] Speed: 100.444626 samples/sec accuracy=71.325893 loss=1.170396 lr=0.003296 Epoch[175] Batch [1799]/[1880] Speed: 110.059684 samples/sec accuracy=71.328125 loss=1.170672 lr=0.003288 Epoch[175] Batch [1849]/[1880] Speed: 108.091409 samples/sec accuracy=71.308699 loss=1.171361 lr=0.003279 Batch [0049]/[0151]: acc-top1=58.187500 acc-top5=79.828125 Batch [0099]/[0151]: acc-top1=61.914062 acc-top5=82.273438 Batch [0149]/[0151]: acc-top1=60.895833 acc-top5=81.880208 [Epoch 175] training: accuracy=71.291556 loss=1.172120 [Epoch 175] speed: 104 samples/sec time cost: 2509.182990 [Epoch 175] validation: acc-top1=60.818502 acc-top5=81.850166 loss=1.755442 Epoch[176] Batch [0049]/[1880] Speed: 74.131099 samples/sec accuracy=72.765625 loss=1.151982 lr=0.003265 Epoch[176] Batch [0099]/[1880] Speed: 108.790020 samples/sec accuracy=72.289062 loss=1.143889 lr=0.003257 Epoch[176] Batch [0149]/[1880] Speed: 104.864292 samples/sec accuracy=72.156250 loss=1.144645 lr=0.003248 Epoch[176] Batch [0199]/[1880] Speed: 100.913161 samples/sec accuracy=72.500000 loss=1.133419 lr=0.003239 Epoch[176] Batch [0249]/[1880] Speed: 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loss=1.148076 lr=0.003154 Epoch[176] Batch [0749]/[1880] Speed: 104.482067 samples/sec accuracy=72.001042 loss=1.144485 lr=0.003145 Epoch[176] Batch [0799]/[1880] Speed: 104.805054 samples/sec accuracy=71.952148 loss=1.146021 lr=0.003137 Epoch[176] Batch [0849]/[1880] Speed: 104.133589 samples/sec accuracy=71.988051 loss=1.144704 lr=0.003128 Epoch[176] Batch [0899]/[1880] Speed: 107.624435 samples/sec accuracy=71.994792 loss=1.145268 lr=0.003120 Epoch[176] Batch [0949]/[1880] Speed: 102.808363 samples/sec accuracy=72.013158 loss=1.143746 lr=0.003112 Epoch[176] Batch [0999]/[1880] Speed: 108.850133 samples/sec accuracy=71.991406 loss=1.144511 lr=0.003103 Epoch[176] Batch [1049]/[1880] Speed: 100.785688 samples/sec accuracy=72.016369 loss=1.143424 lr=0.003095 Epoch[176] Batch [1099]/[1880] Speed: 108.518945 samples/sec accuracy=71.995739 loss=1.144367 lr=0.003086 Epoch[176] Batch [1149]/[1880] Speed: 98.852850 samples/sec accuracy=71.965353 loss=1.146045 lr=0.003078 Epoch[176] Batch [1199]/[1880] Speed: 107.535811 samples/sec accuracy=71.949870 loss=1.146885 lr=0.003070 Epoch[176] Batch [1249]/[1880] Speed: 108.421949 samples/sec accuracy=71.946875 loss=1.146477 lr=0.003061 Epoch[176] Batch [1299]/[1880] Speed: 100.558327 samples/sec accuracy=71.912861 loss=1.147478 lr=0.003053 Epoch[176] Batch [1349]/[1880] Speed: 110.583852 samples/sec accuracy=71.906250 loss=1.147539 lr=0.003044 Epoch[176] Batch [1399]/[1880] Speed: 102.270911 samples/sec accuracy=71.879464 loss=1.147844 lr=0.003036 Epoch[176] Batch [1449]/[1880] Speed: 106.123511 samples/sec accuracy=71.870151 loss=1.148254 lr=0.003028 Epoch[176] Batch [1499]/[1880] Speed: 102.135240 samples/sec accuracy=71.878125 loss=1.147502 lr=0.003019 Epoch[176] Batch [1549]/[1880] Speed: 107.796619 samples/sec accuracy=71.875000 loss=1.147903 lr=0.003011 Epoch[176] Batch [1599]/[1880] Speed: 104.229288 samples/sec accuracy=71.843262 loss=1.149662 lr=0.003003 Epoch[176] Batch [1649]/[1880] Speed: 105.392746 samples/sec accuracy=71.830966 loss=1.149619 lr=0.002995 Epoch[176] Batch [1699]/[1880] Speed: 101.703632 samples/sec accuracy=71.827665 loss=1.150112 lr=0.002986 Epoch[176] Batch [1749]/[1880] Speed: 109.798549 samples/sec accuracy=71.804464 loss=1.150804 lr=0.002978 Epoch[176] Batch [1799]/[1880] Speed: 100.983269 samples/sec accuracy=71.772569 loss=1.152293 lr=0.002970 Epoch[176] Batch [1849]/[1880] Speed: 106.518854 samples/sec accuracy=71.771959 loss=1.152095 lr=0.002961 Batch [0049]/[0151]: acc-top1=59.265625 acc-top5=80.375000 Batch [0099]/[0151]: acc-top1=62.765625 acc-top5=82.601562 Batch [0149]/[0151]: acc-top1=61.343750 acc-top5=82.145833 [Epoch 176] training: accuracy=71.779837 loss=1.151987 [Epoch 176] speed: 104 samples/sec time cost: 2507.969746 [Epoch 176] validation: acc-top1=61.268626 acc-top5=82.103684 loss=1.734589 Epoch[177] Batch [0049]/[1880] Speed: 76.148520 samples/sec accuracy=72.375000 loss=1.135480 lr=0.002948 Epoch[177] Batch [0099]/[1880] Speed: 104.761718 samples/sec accuracy=72.640625 loss=1.124318 lr=0.002940 Epoch[177] Batch [0149]/[1880] Speed: 102.126971 samples/sec accuracy=72.739583 loss=1.116074 lr=0.002932 Epoch[177] Batch [0199]/[1880] Speed: 102.839015 samples/sec accuracy=72.792969 loss=1.115762 lr=0.002924 Epoch[177] Batch [0249]/[1880] Speed: 107.876789 samples/sec accuracy=72.781250 loss=1.114389 lr=0.002916 Epoch[177] Batch [0299]/[1880] Speed: 104.114574 samples/sec accuracy=72.734375 loss=1.112946 lr=0.002907 Epoch[177] Batch [0349]/[1880] Speed: 104.079915 samples/sec accuracy=72.790179 loss=1.114108 lr=0.002899 Epoch[177] Batch [0399]/[1880] Speed: 103.136809 samples/sec accuracy=72.757812 loss=1.114957 lr=0.002891 Epoch[177] Batch [0449]/[1880] Speed: 107.736556 samples/sec accuracy=72.713542 loss=1.115789 lr=0.002883 Epoch[177] Batch [0499]/[1880] Speed: 106.246505 samples/sec accuracy=72.553125 loss=1.117922 lr=0.002875 Epoch[177] Batch [0549]/[1880] Speed: 100.558375 samples/sec accuracy=72.509943 loss=1.117442 lr=0.002867 Epoch[177] Batch [0599]/[1880] Speed: 108.083227 samples/sec accuracy=72.536458 loss=1.117543 lr=0.002859 Epoch[177] Batch [0649]/[1880] Speed: 105.343868 samples/sec accuracy=72.467548 loss=1.121273 lr=0.002850 Epoch[177] Batch [0699]/[1880] Speed: 103.852770 samples/sec accuracy=72.456473 loss=1.120290 lr=0.002842 Epoch[177] Batch [0749]/[1880] Speed: 105.558061 samples/sec accuracy=72.441667 loss=1.119671 lr=0.002834 Epoch[177] Batch [0799]/[1880] Speed: 101.045277 samples/sec accuracy=72.427734 loss=1.119256 lr=0.002826 Epoch[177] Batch [0849]/[1880] Speed: 106.382445 samples/sec accuracy=72.397059 loss=1.120563 lr=0.002818 Epoch[177] Batch [0899]/[1880] Speed: 106.334275 samples/sec accuracy=72.372396 loss=1.122426 lr=0.002810 Epoch[177] Batch [0949]/[1880] Speed: 105.330468 samples/sec accuracy=72.367599 loss=1.123737 lr=0.002802 Epoch[177] Batch [0999]/[1880] Speed: 99.900524 samples/sec accuracy=72.378125 loss=1.124195 lr=0.002794 Epoch[177] Batch [1049]/[1880] Speed: 108.216969 samples/sec accuracy=72.370536 loss=1.124486 lr=0.002786 Epoch[177] Batch [1099]/[1880] Speed: 104.818002 samples/sec accuracy=72.338778 loss=1.125241 lr=0.002778 Epoch[177] Batch [1149]/[1880] Speed: 103.918387 samples/sec accuracy=72.337636 loss=1.125871 lr=0.002770 Epoch[177] Batch [1199]/[1880] Speed: 109.704140 samples/sec accuracy=72.325521 loss=1.126607 lr=0.002762 Epoch[177] Batch [1249]/[1880] Speed: 98.719529 samples/sec accuracy=72.358125 loss=1.125669 lr=0.002754 Epoch[177] Batch [1299]/[1880] Speed: 109.954786 samples/sec accuracy=72.335938 loss=1.125866 lr=0.002746 Epoch[177] Batch [1349]/[1880] Speed: 101.444673 samples/sec accuracy=72.343750 loss=1.125968 lr=0.002738 Epoch[177] Batch [1399]/[1880] Speed: 106.094359 samples/sec accuracy=72.343192 loss=1.125192 lr=0.002730 Epoch[177] Batch [1449]/[1880] Speed: 104.309498 samples/sec accuracy=72.352909 loss=1.124945 lr=0.002722 Epoch[177] Batch [1499]/[1880] Speed: 104.362495 samples/sec accuracy=72.403125 loss=1.122982 lr=0.002715 Epoch[177] Batch [1549]/[1880] Speed: 109.879181 samples/sec accuracy=72.392137 loss=1.123626 lr=0.002707 Epoch[177] Batch [1599]/[1880] Speed: 97.298412 samples/sec accuracy=72.371582 loss=1.123695 lr=0.002699 Epoch[177] Batch [1649]/[1880] Speed: 110.532180 samples/sec accuracy=72.398674 loss=1.122337 lr=0.002691 Epoch[177] Batch [1699]/[1880] Speed: 101.738520 samples/sec accuracy=72.357996 loss=1.123488 lr=0.002683 Epoch[177] Batch [1749]/[1880] Speed: 106.606883 samples/sec accuracy=72.335268 loss=1.124918 lr=0.002675 Epoch[177] Batch [1799]/[1880] Speed: 111.869019 samples/sec accuracy=72.321181 loss=1.125563 lr=0.002667 Epoch[177] Batch [1849]/[1880] Speed: 97.722471 samples/sec accuracy=72.312078 loss=1.125696 lr=0.002660 Batch [0049]/[0151]: acc-top1=58.421875 acc-top5=80.296875 Batch [0099]/[0151]: acc-top1=62.554687 acc-top5=82.554688 Batch [0149]/[0151]: acc-top1=61.489583 acc-top5=82.286458 [Epoch 177] training: accuracy=72.306765 loss=1.126309 [Epoch 177] speed: 104 samples/sec time cost: 2508.466219 [Epoch 177] validation: acc-top1=61.413493 acc-top5=82.258899 loss=1.741180 Epoch[178] Batch [0049]/[1880] Speed: 74.100150 samples/sec accuracy=74.031250 loss=1.071293 lr=0.002647 Epoch[178] Batch [0099]/[1880] Speed: 108.868660 samples/sec accuracy=73.757812 loss=1.071527 lr=0.002639 Epoch[178] Batch [0149]/[1880] Speed: 103.126943 samples/sec accuracy=73.526042 loss=1.078392 lr=0.002631 Epoch[178] Batch [0199]/[1880] Speed: 102.701125 samples/sec accuracy=73.464844 loss=1.077843 lr=0.002624 Epoch[178] Batch [0249]/[1880] Speed: 105.353450 samples/sec accuracy=73.268750 loss=1.085786 lr=0.002616 Epoch[178] Batch [0299]/[1880] Speed: 104.338332 samples/sec accuracy=73.309896 loss=1.083111 lr=0.002608 Epoch[178] Batch [0349]/[1880] Speed: 107.229933 samples/sec accuracy=73.343750 loss=1.082534 lr=0.002600 Epoch[178] Batch [0399]/[1880] Speed: 103.813092 samples/sec accuracy=73.187500 loss=1.088220 lr=0.002593 Epoch[178] Batch [0449]/[1880] Speed: 103.144922 samples/sec accuracy=73.116319 loss=1.090268 lr=0.002585 Epoch[178] Batch [0499]/[1880] Speed: 105.687663 samples/sec accuracy=73.015625 loss=1.096331 lr=0.002577 Epoch[178] Batch [0549]/[1880] Speed: 105.362945 samples/sec accuracy=72.973011 loss=1.099187 lr=0.002570 Epoch[178] Batch [0599]/[1880] Speed: 106.378307 samples/sec accuracy=72.873698 loss=1.103492 lr=0.002562 Epoch[178] Batch [0649]/[1880] Speed: 102.337687 samples/sec accuracy=72.921875 loss=1.102050 lr=0.002554 Epoch[178] Batch [0699]/[1880] Speed: 110.069641 samples/sec accuracy=72.933036 loss=1.102763 lr=0.002547 Epoch[178] Batch [0749]/[1880] Speed: 101.418180 samples/sec accuracy=72.916667 loss=1.102884 lr=0.002539 Epoch[178] Batch [0799]/[1880] Speed: 107.134955 samples/sec accuracy=72.905273 loss=1.102879 lr=0.002531 Epoch[178] Batch [0849]/[1880] Speed: 102.084226 samples/sec accuracy=72.865809 loss=1.104330 lr=0.002524 Epoch[178] Batch [0899]/[1880] Speed: 106.010601 samples/sec accuracy=72.916667 loss=1.102591 lr=0.002516 Epoch[178] Batch [0949]/[1880] Speed: 103.721712 samples/sec accuracy=72.904605 loss=1.103308 lr=0.002508 Epoch[178] Batch [0999]/[1880] Speed: 105.471232 samples/sec accuracy=72.883594 loss=1.104960 lr=0.002501 Epoch[178] Batch [1049]/[1880] Speed: 106.869921 samples/sec accuracy=72.877976 loss=1.105372 lr=0.002493 Epoch[178] Batch [1099]/[1880] Speed: 100.728819 samples/sec accuracy=72.900568 loss=1.105015 lr=0.002486 Epoch[178] Batch [1149]/[1880] Speed: 108.829201 samples/sec accuracy=72.917120 loss=1.103910 lr=0.002478 Epoch[178] Batch [1199]/[1880] Speed: 99.979914 samples/sec accuracy=72.893880 loss=1.104402 lr=0.002471 Epoch[178] Batch [1249]/[1880] Speed: 109.884849 samples/sec accuracy=72.925625 loss=1.103225 lr=0.002463 Epoch[178] Batch [1299]/[1880] Speed: 98.449983 samples/sec accuracy=72.900841 loss=1.104221 lr=0.002455 Epoch[178] Batch [1349]/[1880] Speed: 110.073223 samples/sec accuracy=72.936343 loss=1.103354 lr=0.002448 Epoch[178] Batch [1399]/[1880] Speed: 108.604203 samples/sec accuracy=72.949219 loss=1.103263 lr=0.002440 Epoch[178] Batch [1449]/[1880] Speed: 99.500437 samples/sec accuracy=72.932112 loss=1.103505 lr=0.002433 Epoch[178] Batch [1499]/[1880] Speed: 106.432434 samples/sec accuracy=72.897396 loss=1.104212 lr=0.002425 Epoch[178] Batch [1549]/[1880] Speed: 108.115798 samples/sec accuracy=72.882560 loss=1.104658 lr=0.002418 Epoch[178] Batch [1599]/[1880] Speed: 103.229879 samples/sec accuracy=72.898438 loss=1.104609 lr=0.002411 Epoch[178] Batch [1649]/[1880] Speed: 105.217200 samples/sec accuracy=72.879735 loss=1.105383 lr=0.002403 Epoch[178] Batch [1699]/[1880] Speed: 100.816527 samples/sec accuracy=72.869026 loss=1.105532 lr=0.002396 Epoch[178] Batch [1749]/[1880] Speed: 110.556469 samples/sec accuracy=72.862054 loss=1.105721 lr=0.002388 Epoch[178] Batch [1799]/[1880] Speed: 101.215555 samples/sec accuracy=72.863715 loss=1.106005 lr=0.002381 Epoch[178] Batch [1849]/[1880] Speed: 106.324270 samples/sec accuracy=72.864443 loss=1.105493 lr=0.002373 Batch [0049]/[0151]: acc-top1=58.500000 acc-top5=80.593750 Batch [0099]/[0151]: acc-top1=62.539062 acc-top5=82.578125 Batch [0149]/[0151]: acc-top1=61.447917 acc-top5=82.135417 [Epoch 178] training: accuracy=72.859874 loss=1.105780 [Epoch 178] speed: 104 samples/sec time cost: 2509.239690 [Epoch 178] validation: acc-top1=61.356581 acc-top5=82.072641 loss=1.736892 Epoch[179] Batch [0049]/[1880] Speed: 74.458924 samples/sec accuracy=73.250000 loss=1.083704 lr=0.002362 Epoch[179] Batch [0099]/[1880] Speed: 109.463658 samples/sec accuracy=73.210938 loss=1.080809 lr=0.002354 Epoch[179] Batch [0149]/[1880] Speed: 103.168505 samples/sec accuracy=73.057292 loss=1.089983 lr=0.002347 Epoch[179] Batch [0199]/[1880] Speed: 104.561041 samples/sec accuracy=73.136719 loss=1.091917 lr=0.002340 Epoch[179] Batch [0249]/[1880] Speed: 104.982033 samples/sec accuracy=73.253125 loss=1.086829 lr=0.002332 Epoch[179] Batch [0299]/[1880] Speed: 109.137680 samples/sec accuracy=73.132812 loss=1.088717 lr=0.002325 Epoch[179] Batch [0349]/[1880] Speed: 98.874549 samples/sec accuracy=73.078125 loss=1.093468 lr=0.002318 Epoch[179] Batch [0399]/[1880] Speed: 108.034642 samples/sec accuracy=73.230469 loss=1.091661 lr=0.002310 Epoch[179] Batch [0449]/[1880] Speed: 104.979352 samples/sec accuracy=73.260417 loss=1.090547 lr=0.002303 Epoch[179] Batch [0499]/[1880] Speed: 104.357963 samples/sec accuracy=73.334375 loss=1.086289 lr=0.002296 Epoch[179] Batch [0549]/[1880] Speed: 102.897439 samples/sec accuracy=73.308239 loss=1.084629 lr=0.002288 Epoch[179] Batch [0599]/[1880] Speed: 107.530983 samples/sec accuracy=73.308594 loss=1.085646 lr=0.002281 Epoch[179] Batch [0649]/[1880] Speed: 104.235374 samples/sec accuracy=73.287260 loss=1.085297 lr=0.002274 Epoch[179] Batch [0699]/[1880] Speed: 104.785200 samples/sec accuracy=73.316964 loss=1.084624 lr=0.002267 Epoch[179] Batch [0749]/[1880] Speed: 103.760449 samples/sec accuracy=73.301042 loss=1.084498 lr=0.002259 Epoch[179] Batch [0799]/[1880] Speed: 103.173497 samples/sec accuracy=73.381836 loss=1.082026 lr=0.002252 Epoch[179] Batch [0849]/[1880] Speed: 107.397955 samples/sec accuracy=73.398897 loss=1.081638 lr=0.002245 Epoch[179] Batch [0899]/[1880] Speed: 106.563468 samples/sec accuracy=73.407118 loss=1.082015 lr=0.002238 Epoch[179] Batch [0949]/[1880] Speed: 103.813839 samples/sec accuracy=73.443257 loss=1.081346 lr=0.002231 Epoch[179] Batch [0999]/[1880] Speed: 107.872984 samples/sec accuracy=73.446875 loss=1.080829 lr=0.002223 Epoch[179] Batch [1049]/[1880] Speed: 103.252971 samples/sec accuracy=73.492560 loss=1.079406 lr=0.002216 Epoch[179] Batch [1099]/[1880] Speed: 104.056880 samples/sec accuracy=73.484375 loss=1.079952 lr=0.002209 Epoch[179] Batch [1149]/[1880] Speed: 104.835736 samples/sec accuracy=73.470788 loss=1.080615 lr=0.002202 Epoch[179] Batch [1199]/[1880] Speed: 104.395223 samples/sec accuracy=73.470703 loss=1.081116 lr=0.002195 Epoch[179] Batch 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accuracy=73.496324 loss=1.080773 lr=0.002124 Epoch[179] Batch [1749]/[1880] Speed: 105.052791 samples/sec accuracy=73.456250 loss=1.081920 lr=0.002117 Epoch[179] Batch [1799]/[1880] Speed: 101.408641 samples/sec accuracy=73.447917 loss=1.081421 lr=0.002110 Epoch[179] Batch [1849]/[1880] Speed: 106.785262 samples/sec accuracy=73.434544 loss=1.081844 lr=0.002103 Batch [0049]/[0151]: acc-top1=58.593750 acc-top5=80.984375 Batch [0099]/[0151]: acc-top1=62.601562 acc-top5=82.890625 Batch [0149]/[0151]: acc-top1=61.411458 acc-top5=82.244792 [Epoch 179] training: accuracy=73.438747 loss=1.081790 [Epoch 179] speed: 104 samples/sec time cost: 2504.974803 [Epoch 179] validation: acc-top1=61.325538 acc-top5=82.212334 loss=1.736514 Epoch[180] Batch [0049]/[1879] Speed: 74.961335 samples/sec accuracy=73.765625 loss=1.059005 lr=0.002092 Epoch[180] Batch [0099]/[1879] Speed: 109.404475 samples/sec accuracy=74.140625 loss=1.047028 lr=0.002085 Epoch[180] Batch [0149]/[1879] Speed: 98.613388 samples/sec accuracy=74.026042 loss=1.060929 lr=0.002078 Epoch[180] Batch [0199]/[1879] Speed: 111.076272 samples/sec accuracy=74.292969 loss=1.054419 lr=0.002071 Epoch[180] Batch [0249]/[1879] Speed: 101.265739 samples/sec accuracy=74.156250 loss=1.055794 lr=0.002064 Epoch[180] Batch [0299]/[1879] Speed: 107.025799 samples/sec accuracy=74.239583 loss=1.051069 lr=0.002057 Epoch[180] Batch [0349]/[1879] Speed: 106.772995 samples/sec accuracy=74.218750 loss=1.054175 lr=0.002051 Epoch[180] Batch [0399]/[1879] Speed: 105.148469 samples/sec accuracy=74.130859 loss=1.056982 lr=0.002044 Epoch[180] Batch [0449]/[1879] Speed: 107.301511 samples/sec accuracy=74.078125 loss=1.057572 lr=0.002037 Epoch[180] Batch [0499]/[1879] Speed: 103.105249 samples/sec accuracy=74.210938 loss=1.052471 lr=0.002030 Epoch[180] Batch [0549]/[1879] Speed: 105.520588 samples/sec accuracy=74.248580 loss=1.052253 lr=0.002023 Epoch[180] Batch [0599]/[1879] Speed: 104.895291 samples/sec accuracy=74.218750 loss=1.053554 lr=0.002016 Epoch[180] Batch [0649]/[1879] Speed: 104.591066 samples/sec accuracy=74.237981 loss=1.053698 lr=0.002009 Epoch[180] Batch [0699]/[1879] Speed: 103.264690 samples/sec accuracy=74.202009 loss=1.055302 lr=0.002003 Epoch[180] Batch [0749]/[1879] Speed: 106.037629 samples/sec accuracy=74.185417 loss=1.055090 lr=0.001996 Epoch[180] Batch [0799]/[1879] Speed: 105.452471 samples/sec accuracy=74.168945 loss=1.055571 lr=0.001989 Epoch[180] Batch [0849]/[1879] Speed: 103.324705 samples/sec accuracy=74.080882 loss=1.058428 lr=0.001982 Epoch[180] Batch [0899]/[1879] Speed: 109.194046 samples/sec accuracy=74.072049 loss=1.059438 lr=0.001975 Epoch[180] Batch [0949]/[1879] Speed: 99.214838 samples/sec accuracy=74.034539 loss=1.061566 lr=0.001969 Epoch[180] Batch [0999]/[1879] Speed: 110.575515 samples/sec accuracy=74.030469 loss=1.061351 lr=0.001962 Epoch[180] Batch [1049]/[1879] Speed: 103.529468 samples/sec accuracy=74.030506 loss=1.062118 lr=0.001955 Epoch[180] Batch [1099]/[1879] Speed: 105.969952 samples/sec accuracy=74.011364 loss=1.062645 lr=0.001948 Epoch[180] Batch [1149]/[1879] Speed: 100.921950 samples/sec accuracy=74.016984 loss=1.062244 lr=0.001942 Epoch[180] Batch [1199]/[1879] Speed: 108.311182 samples/sec accuracy=74.029948 loss=1.062783 lr=0.001935 Epoch[180] Batch [1249]/[1879] Speed: 103.627131 samples/sec accuracy=74.018125 loss=1.062985 lr=0.001928 Epoch[180] Batch [1299]/[1879] Speed: 105.666104 samples/sec accuracy=74.027043 loss=1.062853 lr=0.001922 Epoch[180] Batch [1349]/[1879] Speed: 107.639342 samples/sec accuracy=74.058449 loss=1.062611 lr=0.001915 Epoch[180] Batch [1399]/[1879] Speed: 101.132838 samples/sec accuracy=74.032924 loss=1.063661 lr=0.001908 Epoch[180] Batch [1449]/[1879] Speed: 107.624735 samples/sec accuracy=74.018319 loss=1.063497 lr=0.001902 Epoch[180] Batch [1499]/[1879] Speed: 102.316303 samples/sec accuracy=74.018229 loss=1.063120 lr=0.001895 Epoch[180] Batch [1549]/[1879] Speed: 107.044955 samples/sec accuracy=74.009073 loss=1.063011 lr=0.001888 Epoch[180] Batch [1599]/[1879] Speed: 100.599775 samples/sec accuracy=74.022949 loss=1.062776 lr=0.001882 Epoch[180] Batch [1649]/[1879] Speed: 103.980517 samples/sec accuracy=74.007576 loss=1.063614 lr=0.001875 Epoch[180] Batch [1699]/[1879] Speed: 108.295755 samples/sec accuracy=74.017923 loss=1.063260 lr=0.001869 Epoch[180] Batch [1749]/[1879] Speed: 102.352383 samples/sec accuracy=73.994196 loss=1.063913 lr=0.001862 Epoch[180] Batch [1799]/[1879] Speed: 106.385830 samples/sec accuracy=74.003472 loss=1.063758 lr=0.001856 Epoch[180] Batch [1849]/[1879] Speed: 103.403430 samples/sec accuracy=74.009291 loss=1.063035 lr=0.001849 Batch [0049]/[0151]: acc-top1=59.203125 acc-top5=80.250000 Batch [0099]/[0151]: acc-top1=62.726563 acc-top5=82.429688 Batch [0149]/[0151]: acc-top1=61.708333 acc-top5=82.104167 [Epoch 180] training: accuracy=74.017513 loss=1.062615 [Epoch 180] speed: 104 samples/sec time cost: 2505.761943 [Epoch 180] validation: acc-top1=61.625621 acc-top5=82.067467 loss=1.730220 Epoch[181] Batch [0049]/[1880] Speed: 75.039492 samples/sec accuracy=74.609375 loss=1.054817 lr=0.001839 Epoch[181] Batch [0099]/[1880] Speed: 110.185265 samples/sec accuracy=74.687500 loss=1.033582 lr=0.001832 Epoch[181] Batch [0149]/[1880] Speed: 99.266997 samples/sec accuracy=74.812500 loss=1.036414 lr=0.001826 Epoch[181] Batch [0199]/[1880] Speed: 108.742238 samples/sec accuracy=74.742188 loss=1.032786 lr=0.001819 Epoch[181] Batch [0249]/[1880] Speed: 104.704672 samples/sec accuracy=74.528125 loss=1.041573 lr=0.001813 Epoch[181] Batch [0299]/[1880] Speed: 104.086034 samples/sec accuracy=74.307292 loss=1.043455 lr=0.001806 Epoch[181] Batch [0349]/[1880] Speed: 102.144695 samples/sec accuracy=74.368304 loss=1.041591 lr=0.001800 Epoch[181] Batch [0399]/[1880] Speed: 111.590772 samples/sec accuracy=74.423828 loss=1.038696 lr=0.001793 Epoch[181] Batch [0449]/[1880] Speed: 98.365408 samples/sec accuracy=74.484375 loss=1.034948 lr=0.001787 Epoch[181] Batch [0499]/[1880] Speed: 109.705116 samples/sec accuracy=74.445312 loss=1.037016 lr=0.001780 Epoch[181] Batch [0549]/[1880] Speed: 104.175952 samples/sec accuracy=74.457386 loss=1.037989 lr=0.001774 Epoch[181] Batch [0599]/[1880] Speed: 106.239981 samples/sec accuracy=74.498698 loss=1.035811 lr=0.001768 Epoch[181] Batch [0649]/[1880] Speed: 103.807234 samples/sec accuracy=74.562500 loss=1.034557 lr=0.001761 Epoch[181] Batch [0699]/[1880] Speed: 106.048471 samples/sec accuracy=74.602679 loss=1.032716 lr=0.001755 Epoch[181] Batch [0749]/[1880] Speed: 107.604130 samples/sec accuracy=74.594792 loss=1.032913 lr=0.001748 Epoch[181] Batch [0799]/[1880] Speed: 104.215938 samples/sec accuracy=74.600586 loss=1.033170 lr=0.001742 Epoch[181] Batch [0849]/[1880] Speed: 102.653244 samples/sec accuracy=74.611213 loss=1.031587 lr=0.001736 Epoch[181] Batch [0899]/[1880] Speed: 104.503396 samples/sec accuracy=74.594618 loss=1.031809 lr=0.001729 Epoch[181] Batch [0949]/[1880] Speed: 102.223411 samples/sec accuracy=74.600329 loss=1.031765 lr=0.001723 Epoch[181] Batch [0999]/[1880] Speed: 108.524192 samples/sec accuracy=74.577344 loss=1.031840 lr=0.001717 Epoch[181] Batch [1049]/[1880] Speed: 109.611813 samples/sec accuracy=74.567708 loss=1.032971 lr=0.001710 Epoch[181] Batch [1099]/[1880] Speed: 98.606597 samples/sec accuracy=74.577415 loss=1.032634 lr=0.001704 Epoch[181] Batch [1149]/[1880] Speed: 110.424133 samples/sec accuracy=74.552989 loss=1.034483 lr=0.001698 Epoch[181] Batch [1199]/[1880] Speed: 98.512864 samples/sec accuracy=74.512370 loss=1.035300 lr=0.001691 Epoch[181] Batch [1249]/[1880] Speed: 110.295511 samples/sec accuracy=74.503750 loss=1.035186 lr=0.001685 Epoch[181] Batch [1299]/[1880] Speed: 104.766434 samples/sec accuracy=74.457332 loss=1.036981 lr=0.001679 Epoch[181] Batch [1349]/[1880] Speed: 106.100887 samples/sec accuracy=74.448495 loss=1.037509 lr=0.001673 Epoch[181] Batch [1399]/[1880] Speed: 100.604560 samples/sec accuracy=74.414062 loss=1.038305 lr=0.001667 Epoch[181] Batch [1449]/[1880] Speed: 107.658820 samples/sec accuracy=74.406789 loss=1.037760 lr=0.001660 Epoch[181] Batch [1499]/[1880] Speed: 101.010387 samples/sec accuracy=74.405729 loss=1.038536 lr=0.001654 Epoch[181] Batch [1549]/[1880] Speed: 105.563600 samples/sec accuracy=74.405242 loss=1.038566 lr=0.001648 Epoch[181] Batch [1599]/[1880] Speed: 110.005598 samples/sec accuracy=74.415039 loss=1.038132 lr=0.001642 Epoch[181] Batch [1649]/[1880] Speed: 100.472509 samples/sec accuracy=74.383523 loss=1.039645 lr=0.001636 Epoch[181] Batch [1699]/[1880] Speed: 109.894691 samples/sec accuracy=74.395221 loss=1.038811 lr=0.001629 Epoch[181] Batch [1749]/[1880] Speed: 100.890513 samples/sec accuracy=74.407143 loss=1.038916 lr=0.001623 Epoch[181] Batch [1799]/[1880] Speed: 109.468950 samples/sec accuracy=74.404514 loss=1.039097 lr=0.001617 Epoch[181] Batch [1849]/[1880] Speed: 100.170711 samples/sec accuracy=74.369088 loss=1.040047 lr=0.001611 Batch [0049]/[0151]: acc-top1=59.656250 acc-top5=80.890625 Batch [0099]/[0151]: acc-top1=63.171875 acc-top5=82.898438 Batch [0149]/[0151]: acc-top1=61.791667 acc-top5=82.234375 [Epoch 181] training: accuracy=74.373753 loss=1.039999 [Epoch 181] speed: 104 samples/sec time cost: 2504.598972 [Epoch 181] validation: acc-top1=61.703228 acc-top5=82.196813 loss=1.732018 Epoch[182] Batch [0049]/[1880] Speed: 73.588734 samples/sec accuracy=75.578125 loss=1.015288 lr=0.001601 Epoch[182] Batch [0099]/[1880] Speed: 110.759961 samples/sec accuracy=75.179688 loss=1.027421 lr=0.001595 Epoch[182] Batch [0149]/[1880] Speed: 101.314125 samples/sec accuracy=75.281250 loss=1.025825 lr=0.001589 Epoch[182] Batch [0199]/[1880] Speed: 108.003146 samples/sec accuracy=75.199219 loss=1.030360 lr=0.001583 Epoch[182] Batch [0249]/[1880] Speed: 100.729775 samples/sec accuracy=75.028125 loss=1.030995 lr=0.001577 Epoch[182] Batch [0299]/[1880] Speed: 108.070772 samples/sec accuracy=75.041667 loss=1.028316 lr=0.001571 Epoch[182] Batch [0349]/[1880] Speed: 103.006587 samples/sec accuracy=75.089286 loss=1.024811 lr=0.001565 Epoch[182] Batch [0399]/[1880] Speed: 105.378334 samples/sec accuracy=75.052734 loss=1.022951 lr=0.001559 Epoch[182] Batch [0449]/[1880] Speed: 107.450226 samples/sec accuracy=74.918403 loss=1.026122 lr=0.001553 Epoch[182] Batch [0499]/[1880] Speed: 102.308321 samples/sec accuracy=74.921875 loss=1.025787 lr=0.001547 Epoch[182] Batch [0549]/[1880] Speed: 105.523717 samples/sec accuracy=74.855114 loss=1.028646 lr=0.001541 Epoch[182] Batch [0599]/[1880] Speed: 102.219613 samples/sec accuracy=74.834635 loss=1.028938 lr=0.001535 Epoch[182] Batch [0649]/[1880] Speed: 109.938463 samples/sec accuracy=74.782452 loss=1.029906 lr=0.001529 Epoch[182] Batch [0699]/[1880] Speed: 105.873449 samples/sec accuracy=74.780134 loss=1.029377 lr=0.001523 Epoch[182] Batch [0749]/[1880] Speed: 101.241721 samples/sec accuracy=74.681250 loss=1.030990 lr=0.001517 Epoch[182] Batch [0799]/[1880] Speed: 109.362691 samples/sec accuracy=74.666992 loss=1.029760 lr=0.001511 Epoch[182] Batch [0849]/[1880] Speed: 99.530317 samples/sec accuracy=74.649816 loss=1.030038 lr=0.001505 Epoch[182] Batch [0899]/[1880] Speed: 108.286894 samples/sec accuracy=74.675347 loss=1.029262 lr=0.001499 Epoch[182] Batch [0949]/[1880] Speed: 100.670927 samples/sec accuracy=74.645559 loss=1.029595 lr=0.001493 Epoch[182] Batch [0999]/[1880] Speed: 111.849427 samples/sec accuracy=74.661719 loss=1.029426 lr=0.001487 Epoch[182] Batch [1049]/[1880] Speed: 104.196489 samples/sec accuracy=74.705357 loss=1.028224 lr=0.001481 Epoch[182] Batch [1099]/[1880] Speed: 102.995210 samples/sec accuracy=74.703125 loss=1.028616 lr=0.001476 Epoch[182] Batch [1149]/[1880] Speed: 105.486459 samples/sec accuracy=74.702446 loss=1.028958 lr=0.001470 Epoch[182] Batch [1199]/[1880] Speed: 105.844362 samples/sec accuracy=74.733073 loss=1.028776 lr=0.001464 Epoch[182] Batch [1249]/[1880] Speed: 105.351814 samples/sec accuracy=74.751875 loss=1.028169 lr=0.001458 Epoch[182] Batch [1299]/[1880] Speed: 103.895777 samples/sec accuracy=74.745793 loss=1.028295 lr=0.001452 Epoch[182] Batch [1349]/[1880] Speed: 107.170945 samples/sec accuracy=74.732639 loss=1.028536 lr=0.001446 Epoch[182] Batch [1399]/[1880] Speed: 102.309360 samples/sec accuracy=74.710938 loss=1.029388 lr=0.001441 Epoch[182] Batch [1449]/[1880] Speed: 101.454762 samples/sec accuracy=74.696659 loss=1.029936 lr=0.001435 Epoch[182] Batch [1499]/[1880] Speed: 110.959915 samples/sec accuracy=74.688542 loss=1.029921 lr=0.001429 Epoch[182] Batch [1549]/[1880] Speed: 98.883966 samples/sec accuracy=74.714214 loss=1.028822 lr=0.001423 Epoch[182] Batch [1599]/[1880] Speed: 110.169559 samples/sec accuracy=74.704102 loss=1.029632 lr=0.001418 Epoch[182] Batch [1649]/[1880] Speed: 103.538177 samples/sec accuracy=74.715436 loss=1.029150 lr=0.001412 Epoch[182] Batch [1699]/[1880] Speed: 104.471330 samples/sec accuracy=74.726103 loss=1.028675 lr=0.001406 Epoch[182] Batch [1749]/[1880] Speed: 104.662268 samples/sec accuracy=74.741071 loss=1.028302 lr=0.001400 Epoch[182] Batch [1799]/[1880] Speed: 106.030938 samples/sec accuracy=74.753472 loss=1.027779 lr=0.001395 Epoch[182] Batch [1849]/[1880] Speed: 105.615190 samples/sec accuracy=74.777027 loss=1.027693 lr=0.001389 Batch [0049]/[0151]: acc-top1=59.359375 acc-top5=80.859375 Batch [0099]/[0151]: acc-top1=62.843750 acc-top5=82.976562 Batch [0149]/[0151]: acc-top1=61.718750 acc-top5=82.322917 [Epoch 182] training: accuracy=74.770612 loss=1.028055 [Epoch 182] speed: 104 samples/sec time cost: 2508.326415 [Epoch 182] validation: acc-top1=61.625621 acc-top5=82.289942 loss=1.726337 Epoch[183] Batch [0049]/[1880] Speed: 74.261702 samples/sec accuracy=75.187500 loss=1.015241 lr=0.001380 Epoch[183] Batch [0099]/[1880] Speed: 108.576270 samples/sec accuracy=74.945312 loss=1.015315 lr=0.001374 Epoch[183] Batch [0149]/[1880] Speed: 99.299650 samples/sec accuracy=75.333333 loss=1.003139 lr=0.001369 Epoch[183] Batch [0199]/[1880] Speed: 108.363331 samples/sec accuracy=75.171875 loss=1.006687 lr=0.001363 Epoch[183] Batch [0249]/[1880] Speed: 107.034497 samples/sec accuracy=75.259375 loss=1.005833 lr=0.001357 Epoch[183] Batch [0299]/[1880] Speed: 101.504033 samples/sec accuracy=75.460938 loss=0.998670 lr=0.001352 Epoch[183] Batch [0349]/[1880] Speed: 107.549436 samples/sec accuracy=75.437500 loss=0.998780 lr=0.001346 Epoch[183] Batch [0399]/[1880] Speed: 99.929192 samples/sec accuracy=75.433594 loss=0.999271 lr=0.001341 Epoch[183] Batch [0449]/[1880] Speed: 109.603265 samples/sec accuracy=75.465278 loss=0.999410 lr=0.001335 Epoch[183] Batch [0499]/[1880] Speed: 100.982659 samples/sec accuracy=75.340625 loss=1.003315 lr=0.001329 Epoch[183] Batch [0549]/[1880] Speed: 107.111992 samples/sec accuracy=75.339489 loss=1.004285 lr=0.001324 Epoch[183] Batch [0599]/[1880] Speed: 104.797683 samples/sec accuracy=75.348958 loss=1.006565 lr=0.001318 Epoch[183] Batch [0649]/[1880] Speed: 102.448284 samples/sec accuracy=75.299279 loss=1.006689 lr=0.001313 Epoch[183] Batch [0699]/[1880] Speed: 109.118898 samples/sec accuracy=75.264509 loss=1.007284 lr=0.001307 Epoch[183] Batch [0749]/[1880] Speed: 101.670009 samples/sec accuracy=75.294792 loss=1.004995 lr=0.001302 Epoch[183] Batch [0799]/[1880] Speed: 110.550295 samples/sec accuracy=75.286133 loss=1.005276 lr=0.001296 Epoch[183] Batch [0849]/[1880] Speed: 99.460168 samples/sec accuracy=75.277574 loss=1.006628 lr=0.001291 Epoch[183] Batch [0899]/[1880] Speed: 108.184454 samples/sec accuracy=75.322049 loss=1.006233 lr=0.001285 Epoch[183] Batch [0949]/[1880] Speed: 105.908445 samples/sec accuracy=75.337171 loss=1.005706 lr=0.001280 Epoch[183] Batch [0999]/[1880] Speed: 102.354884 samples/sec accuracy=75.295312 loss=1.006216 lr=0.001274 Epoch[183] Batch [1049]/[1880] Speed: 107.006131 samples/sec accuracy=75.287202 loss=1.006891 lr=0.001269 Epoch[183] Batch [1099]/[1880] Speed: 101.601289 samples/sec accuracy=75.310369 loss=1.006122 lr=0.001263 Epoch[183] Batch [1149]/[1880] Speed: 108.102601 samples/sec accuracy=75.293478 loss=1.008425 lr=0.001258 Epoch[183] Batch [1199]/[1880] Speed: 105.731430 samples/sec accuracy=75.332031 loss=1.006449 lr=0.001253 Epoch[183] Batch [1249]/[1880] Speed: 103.725953 samples/sec accuracy=75.311875 loss=1.007205 lr=0.001247 Epoch[183] Batch [1299]/[1880] Speed: 105.036011 samples/sec accuracy=75.322115 loss=1.006669 lr=0.001242 Epoch[183] Batch [1349]/[1880] Speed: 103.014397 samples/sec accuracy=75.302662 loss=1.007560 lr=0.001236 Epoch[183] Batch [1399]/[1880] Speed: 105.636601 samples/sec accuracy=75.272321 loss=1.008851 lr=0.001231 Epoch[183] Batch [1449]/[1880] Speed: 105.254824 samples/sec accuracy=75.268319 loss=1.008999 lr=0.001226 Epoch[183] Batch [1499]/[1880] Speed: 107.167663 samples/sec accuracy=75.282292 loss=1.007790 lr=0.001220 Epoch[183] Batch [1549]/[1880] Speed: 102.722013 samples/sec accuracy=75.268649 loss=1.008210 lr=0.001215 Epoch[183] Batch [1599]/[1880] Speed: 109.105199 samples/sec accuracy=75.270508 loss=1.008443 lr=0.001210 Epoch[183] Batch [1649]/[1880] Speed: 102.115161 samples/sec accuracy=75.256629 loss=1.008711 lr=0.001204 Epoch[183] Batch [1699]/[1880] Speed: 104.417483 samples/sec accuracy=75.257812 loss=1.008776 lr=0.001199 Epoch[183] Batch [1749]/[1880] Speed: 104.365574 samples/sec accuracy=75.234821 loss=1.009685 lr=0.001194 Epoch[183] Batch [1799]/[1880] Speed: 105.624309 samples/sec accuracy=75.240017 loss=1.009476 lr=0.001189 Epoch[183] Batch [1849]/[1880] Speed: 103.038144 samples/sec accuracy=75.239865 loss=1.009901 lr=0.001183 Batch [0049]/[0151]: acc-top1=59.531250 acc-top5=80.812500 Batch [0099]/[0151]: acc-top1=63.414062 acc-top5=83.023438 Batch [0149]/[0151]: acc-top1=62.130208 acc-top5=82.531250 [Epoch 183] training: accuracy=75.259309 loss=1.009958 [Epoch 183] speed: 104 samples/sec time cost: 2507.031526 [Epoch 183] validation: acc-top1=62.034354 acc-top5=82.496896 loss=1.719686 Epoch[184] Batch [0049]/[1880] Speed: 74.914942 samples/sec accuracy=75.859375 loss=0.979436 lr=0.001175 Epoch[184] Batch [0099]/[1880] Speed: 109.583094 samples/sec accuracy=76.046875 loss=0.982354 lr=0.001170 Epoch[184] Batch [0149]/[1880] Speed: 102.803179 samples/sec accuracy=75.739583 loss=0.986513 lr=0.001164 Epoch[184] Batch [0199]/[1880] Speed: 105.263235 samples/sec accuracy=75.578125 loss=0.991670 lr=0.001159 Epoch[184] Batch [0249]/[1880] Speed: 105.670713 samples/sec accuracy=75.709375 loss=0.987382 lr=0.001154 Epoch[184] Batch [0299]/[1880] Speed: 103.526393 samples/sec accuracy=75.807292 loss=0.979828 lr=0.001149 Epoch[184] Batch [0349]/[1880] Speed: 104.725997 samples/sec accuracy=75.542411 loss=0.987869 lr=0.001144 Epoch[184] Batch [0399]/[1880] Speed: 102.428888 samples/sec accuracy=75.580078 loss=0.988081 lr=0.001138 Epoch[184] Batch [0449]/[1880] Speed: 108.400531 samples/sec accuracy=75.605903 loss=0.989332 lr=0.001133 Epoch[184] Batch [0499]/[1880] Speed: 101.647394 samples/sec accuracy=75.515625 loss=0.993366 lr=0.001128 Epoch[184] Batch 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accuracy=75.451563 loss=0.996316 lr=0.001077 Epoch[184] Batch [1049]/[1880] Speed: 108.161954 samples/sec accuracy=75.459077 loss=0.996514 lr=0.001072 Epoch[184] Batch [1099]/[1880] Speed: 103.964519 samples/sec accuracy=75.409801 loss=0.997858 lr=0.001067 Epoch[184] Batch [1149]/[1880] Speed: 104.576898 samples/sec accuracy=75.432745 loss=0.997459 lr=0.001062 Epoch[184] Batch [1199]/[1880] Speed: 104.482324 samples/sec accuracy=75.473307 loss=0.995678 lr=0.001057 Epoch[184] Batch [1249]/[1880] Speed: 105.029859 samples/sec accuracy=75.491250 loss=0.994759 lr=0.001052 Epoch[184] Batch [1299]/[1880] Speed: 102.670849 samples/sec accuracy=75.496995 loss=0.995197 lr=0.001048 Epoch[184] Batch [1349]/[1880] Speed: 109.971403 samples/sec accuracy=75.518519 loss=0.994661 lr=0.001043 Epoch[184] Batch [1399]/[1880] Speed: 98.212458 samples/sec accuracy=75.534598 loss=0.993971 lr=0.001038 Epoch[184] Batch [1449]/[1880] Speed: 109.364848 samples/sec accuracy=75.539871 loss=0.994061 lr=0.001033 Epoch[184] Batch [1499]/[1880] Speed: 98.502266 samples/sec accuracy=75.543750 loss=0.993201 lr=0.001028 Epoch[184] Batch [1549]/[1880] Speed: 112.046968 samples/sec accuracy=75.512097 loss=0.994803 lr=0.001023 Epoch[184] Batch [1599]/[1880] Speed: 109.487795 samples/sec accuracy=75.510254 loss=0.994730 lr=0.001018 Epoch[184] Batch [1649]/[1880] Speed: 98.138343 samples/sec accuracy=75.507576 loss=0.995319 lr=0.001013 Epoch[184] Batch [1699]/[1880] Speed: 110.357418 samples/sec accuracy=75.524816 loss=0.994348 lr=0.001008 Epoch[184] Batch [1749]/[1880] Speed: 98.542039 samples/sec accuracy=75.556250 loss=0.993421 lr=0.001003 Epoch[184] Batch [1799]/[1880] Speed: 110.808103 samples/sec accuracy=75.574653 loss=0.992328 lr=0.000999 Epoch[184] Batch [1849]/[1880] Speed: 101.687191 samples/sec accuracy=75.595017 loss=0.991851 lr=0.000994 Batch [0049]/[0151]: acc-top1=59.984375 acc-top5=80.875000 Batch [0099]/[0151]: acc-top1=63.664062 acc-top5=82.937500 Batch [0149]/[0151]: acc-top1=62.416667 acc-top5=82.479167 [Epoch 184] training: accuracy=75.610455 loss=0.991300 [Epoch 184] speed: 104 samples/sec time cost: 2508.761504 [Epoch 184] validation: acc-top1=62.334437 acc-top5=82.434810 loss=1.716073 Epoch[185] Batch [0049]/[1880] Speed: 75.592100 samples/sec accuracy=75.515625 loss=0.994564 lr=0.000986 Epoch[185] Batch [0099]/[1880] Speed: 106.391382 samples/sec accuracy=76.023438 loss=0.976633 lr=0.000981 Epoch[185] Batch [0149]/[1880] Speed: 107.668184 samples/sec accuracy=75.989583 loss=0.974639 lr=0.000977 Epoch[185] Batch [0199]/[1880] Speed: 103.544673 samples/sec accuracy=76.304688 loss=0.965269 lr=0.000972 Epoch[185] Batch [0249]/[1880] Speed: 106.629560 samples/sec accuracy=76.290625 loss=0.964538 lr=0.000967 Epoch[185] Batch [0299]/[1880] Speed: 100.963846 samples/sec accuracy=76.278646 loss=0.968596 lr=0.000962 Epoch[185] Batch [0349]/[1880] Speed: 105.993023 samples/sec accuracy=76.250000 loss=0.970608 lr=0.000957 Epoch[185] Batch [0399]/[1880] Speed: 106.084061 samples/sec accuracy=76.316406 loss=0.966203 lr=0.000953 Epoch[185] Batch [0449]/[1880] Speed: 101.908951 samples/sec accuracy=76.276042 loss=0.968835 lr=0.000948 Epoch[185] Batch [0499]/[1880] Speed: 108.454690 samples/sec accuracy=76.214062 loss=0.970494 lr=0.000943 Epoch[185] Batch [0549]/[1880] Speed: 105.821610 samples/sec accuracy=76.264205 loss=0.967072 lr=0.000939 Epoch[185] Batch [0599]/[1880] Speed: 101.307522 samples/sec accuracy=76.182292 loss=0.970249 lr=0.000934 Epoch[185] Batch [0649]/[1880] Speed: 109.561116 samples/sec accuracy=76.189904 loss=0.968929 lr=0.000929 Epoch[185] Batch [0699]/[1880] Speed: 99.224091 samples/sec accuracy=76.152902 loss=0.970241 lr=0.000925 Epoch[185] Batch [0749]/[1880] Speed: 107.821733 samples/sec accuracy=76.190625 loss=0.969848 lr=0.000920 Epoch[185] Batch [0799]/[1880] Speed: 101.748828 samples/sec accuracy=76.214844 loss=0.969470 lr=0.000915 Epoch[185] Batch [0849]/[1880] Speed: 105.591302 samples/sec accuracy=76.214154 loss=0.969504 lr=0.000911 Epoch[185] Batch [0899]/[1880] Speed: 105.982472 samples/sec accuracy=76.174479 loss=0.969295 lr=0.000906 Epoch[185] Batch [0949]/[1880] Speed: 102.505842 samples/sec accuracy=76.162007 loss=0.970279 lr=0.000902 Epoch[185] Batch [0999]/[1880] Speed: 107.204314 samples/sec accuracy=76.173437 loss=0.969740 lr=0.000897 Epoch[185] Batch [1049]/[1880] Speed: 102.050044 samples/sec accuracy=76.166667 loss=0.969513 lr=0.000892 Epoch[185] Batch [1099]/[1880] Speed: 109.686266 samples/sec accuracy=76.138494 loss=0.970523 lr=0.000888 Epoch[185] Batch [1149]/[1880] Speed: 97.571658 samples/sec accuracy=76.163723 loss=0.970163 lr=0.000883 Epoch[185] Batch [1199]/[1880] Speed: 111.597320 samples/sec accuracy=76.138021 loss=0.970292 lr=0.000879 Epoch[185] Batch [1249]/[1880] Speed: 103.194785 samples/sec accuracy=76.123125 loss=0.970967 lr=0.000874 Epoch[185] Batch [1299]/[1880] Speed: 106.415965 samples/sec accuracy=76.132212 loss=0.970405 lr=0.000870 Epoch[185] Batch [1349]/[1880] Speed: 109.262339 samples/sec accuracy=76.108796 loss=0.971353 lr=0.000865 Epoch[185] Batch [1399]/[1880] Speed: 98.187249 samples/sec accuracy=76.088728 loss=0.971839 lr=0.000861 Epoch[185] Batch [1449]/[1880] Speed: 109.925179 samples/sec accuracy=76.130388 loss=0.969949 lr=0.000856 Epoch[185] Batch [1499]/[1880] Speed: 99.512014 samples/sec accuracy=76.123958 loss=0.970523 lr=0.000852 Epoch[185] Batch [1549]/[1880] Speed: 110.265376 samples/sec accuracy=76.122984 loss=0.970775 lr=0.000847 Epoch[185] Batch [1599]/[1880] Speed: 103.238691 samples/sec accuracy=76.134277 loss=0.970551 lr=0.000843 Epoch[185] Batch [1649]/[1880] Speed: 104.435918 samples/sec accuracy=76.134943 loss=0.970514 lr=0.000838 Epoch[185] Batch [1699]/[1880] Speed: 109.247713 samples/sec accuracy=76.132812 loss=0.970264 lr=0.000834 Epoch[185] Batch [1749]/[1880] Speed: 98.867423 samples/sec accuracy=76.138839 loss=0.969652 lr=0.000830 Epoch[185] Batch [1799]/[1880] Speed: 107.682703 samples/sec accuracy=76.122830 loss=0.970284 lr=0.000825 Epoch[185] Batch [1849]/[1880] Speed: 104.889752 samples/sec accuracy=76.110642 loss=0.970665 lr=0.000821 Batch [0049]/[0151]: acc-top1=60.359375 acc-top5=80.984375 Batch [0099]/[0151]: acc-top1=63.648438 acc-top5=82.992188 Batch [0149]/[0151]: acc-top1=62.270833 acc-top5=82.598958 [Epoch 185] training: accuracy=76.110788 loss=0.970720 [Epoch 185] speed: 104 samples/sec time cost: 2509.180035 [Epoch 185] validation: acc-top1=62.179222 acc-top5=82.574503 loss=1.714161 Epoch[186] Batch [0049]/[1879] Speed: 75.170508 samples/sec accuracy=76.906250 loss=0.941771 lr=0.000814 Epoch[186] Batch [0099]/[1879] Speed: 105.261144 samples/sec accuracy=76.703125 loss=0.945828 lr=0.000809 Epoch[186] Batch [0149]/[1879] Speed: 105.910068 samples/sec accuracy=76.500000 loss=0.952059 lr=0.000805 Epoch[186] Batch [0199]/[1879] Speed: 103.991562 samples/sec accuracy=76.468750 loss=0.950286 lr=0.000801 Epoch[186] Batch [0249]/[1879] Speed: 103.781943 samples/sec accuracy=76.468750 loss=0.947523 lr=0.000796 Epoch[186] Batch [0299]/[1879] Speed: 104.870043 samples/sec accuracy=76.348958 loss=0.954608 lr=0.000792 Epoch[186] Batch [0349]/[1879] Speed: 108.620066 samples/sec accuracy=76.357143 loss=0.955050 lr=0.000788 Epoch[186] Batch [0399]/[1879] Speed: 103.709209 samples/sec accuracy=76.177734 loss=0.962266 lr=0.000783 Epoch[186] Batch [0449]/[1879] Speed: 104.715441 samples/sec accuracy=76.196181 loss=0.964672 lr=0.000779 Epoch[186] Batch [0499]/[1879] Speed: 108.307828 samples/sec accuracy=76.167187 loss=0.964277 lr=0.000775 Epoch[186] Batch [0549]/[1879] Speed: 100.633267 samples/sec accuracy=76.198864 loss=0.963488 lr=0.000771 Epoch[186] Batch [0599]/[1879] Speed: 105.514601 samples/sec accuracy=76.105469 loss=0.964563 lr=0.000766 Epoch[186] Batch [0649]/[1879] Speed: 102.677355 samples/sec accuracy=76.149038 loss=0.964499 lr=0.000762 Epoch[186] Batch [0699]/[1879] Speed: 107.215840 samples/sec accuracy=76.140625 loss=0.964713 lr=0.000758 Epoch[186] Batch [0749]/[1879] Speed: 104.984399 samples/sec accuracy=76.177083 loss=0.964155 lr=0.000754 Epoch[186] Batch [0799]/[1879] Speed: 105.271169 samples/sec accuracy=76.109375 loss=0.965629 lr=0.000750 Epoch[186] Batch [0849]/[1879] Speed: 103.975092 samples/sec accuracy=76.121324 loss=0.966328 lr=0.000745 Epoch[186] Batch [0899]/[1879] Speed: 103.554583 samples/sec accuracy=76.153646 loss=0.965056 lr=0.000741 Epoch[186] Batch [0949]/[1879] Speed: 108.361609 samples/sec accuracy=76.164474 loss=0.964222 lr=0.000737 Epoch[186] Batch [0999]/[1879] Speed: 104.992250 samples/sec accuracy=76.170313 loss=0.964566 lr=0.000733 Epoch[186] Batch [1049]/[1879] Speed: 101.767224 samples/sec accuracy=76.206101 loss=0.963327 lr=0.000729 Epoch[186] Batch [1099]/[1879] Speed: 108.762508 samples/sec accuracy=76.198153 loss=0.964184 lr=0.000725 Epoch[186] Batch [1149]/[1879] Speed: 98.892218 samples/sec accuracy=76.187500 loss=0.964422 lr=0.000720 Epoch[186] Batch [1199]/[1879] Speed: 109.976837 samples/sec accuracy=76.167969 loss=0.966338 lr=0.000716 Epoch[186] Batch [1249]/[1879] Speed: 101.860476 samples/sec accuracy=76.176250 loss=0.965311 lr=0.000712 Epoch[186] Batch [1299]/[1879] Speed: 106.161215 samples/sec accuracy=76.181490 loss=0.965554 lr=0.000708 Epoch[186] Batch [1349]/[1879] Speed: 107.589079 samples/sec accuracy=76.200231 loss=0.964827 lr=0.000704 Epoch[186] Batch [1399]/[1879] Speed: 101.969409 samples/sec accuracy=76.210379 loss=0.964578 lr=0.000700 Epoch[186] Batch [1449]/[1879] Speed: 107.639137 samples/sec accuracy=76.177263 loss=0.966245 lr=0.000696 Epoch[186] Batch [1499]/[1879] Speed: 102.685896 samples/sec accuracy=76.192708 loss=0.966057 lr=0.000692 Epoch[186] Batch [1549]/[1879] Speed: 106.657520 samples/sec accuracy=76.200101 loss=0.965924 lr=0.000688 Epoch[186] Batch [1599]/[1879] Speed: 104.247667 samples/sec accuracy=76.207031 loss=0.965786 lr=0.000684 Epoch[186] Batch [1649]/[1879] Speed: 104.626893 samples/sec accuracy=76.225379 loss=0.965254 lr=0.000680 Epoch[186] Batch [1699]/[1879] Speed: 105.039333 samples/sec accuracy=76.240349 loss=0.965057 lr=0.000676 Epoch[186] Batch [1749]/[1879] Speed: 104.084821 samples/sec accuracy=76.229911 loss=0.965382 lr=0.000672 Epoch[186] Batch [1799]/[1879] Speed: 105.635070 samples/sec accuracy=76.236111 loss=0.965134 lr=0.000668 Epoch[186] Batch [1849]/[1879] Speed: 101.490730 samples/sec accuracy=76.237331 loss=0.965179 lr=0.000664 Batch [0049]/[0151]: acc-top1=60.171875 acc-top5=80.875000 Batch [0099]/[0151]: acc-top1=63.632812 acc-top5=82.921875 Batch [0149]/[0151]: acc-top1=62.260417 acc-top5=82.572917 [Epoch 186] training: accuracy=76.247755 loss=0.964612 [Epoch 186] speed: 104 samples/sec time cost: 2506.956213 [Epoch 186] validation: acc-top1=62.153353 acc-top5=82.548634 loss=1.716469 Epoch[187] Batch [0049]/[1880] Speed: 74.122809 samples/sec accuracy=77.171875 loss=0.923395 lr=0.000658 Epoch[187] Batch [0099]/[1880] Speed: 106.424702 samples/sec accuracy=76.898438 loss=0.938328 lr=0.000654 Epoch[187] Batch [0149]/[1880] Speed: 105.475576 samples/sec accuracy=76.947917 loss=0.949484 lr=0.000650 Epoch[187] Batch [0199]/[1880] Speed: 103.535180 samples/sec accuracy=77.000000 loss=0.947780 lr=0.000646 Epoch[187] Batch [0249]/[1880] Speed: 106.429811 samples/sec accuracy=77.140625 loss=0.942262 lr=0.000642 Epoch[187] Batch [0299]/[1880] Speed: 101.962641 samples/sec accuracy=77.059896 loss=0.943017 lr=0.000638 Epoch[187] Batch [0349]/[1880] Speed: 104.937503 samples/sec accuracy=76.912946 loss=0.949180 lr=0.000634 Epoch[187] Batch [0399]/[1880] Speed: 108.792854 samples/sec accuracy=76.914062 loss=0.948520 lr=0.000631 Epoch[187] Batch [0449]/[1880] Speed: 99.949871 samples/sec accuracy=76.866319 loss=0.949313 lr=0.000627 Epoch[187] Batch [0499]/[1880] Speed: 111.008715 samples/sec accuracy=76.826562 loss=0.950073 lr=0.000623 Epoch[187] Batch [0549]/[1880] Speed: 98.238548 samples/sec accuracy=76.767045 loss=0.950629 lr=0.000619 Epoch[187] Batch [0599]/[1880] Speed: 111.417246 samples/sec accuracy=76.753906 loss=0.949530 lr=0.000615 Epoch[187] Batch [0649]/[1880] Speed: 102.656491 samples/sec accuracy=76.770433 loss=0.949909 lr=0.000612 Epoch[187] Batch [0699]/[1880] Speed: 104.536681 samples/sec accuracy=76.789062 loss=0.950818 lr=0.000608 Epoch[187] Batch [0749]/[1880] Speed: 102.634549 samples/sec accuracy=76.707292 loss=0.953261 lr=0.000604 Epoch[187] Batch [0799]/[1880] Speed: 110.513081 samples/sec accuracy=76.701172 loss=0.952886 lr=0.000600 Epoch[187] Batch [0849]/[1880] Speed: 97.279297 samples/sec accuracy=76.754596 loss=0.950764 lr=0.000596 Epoch[187] Batch [0899]/[1880] Speed: 111.525395 samples/sec accuracy=76.762153 loss=0.949176 lr=0.000593 Epoch[187] Batch [0949]/[1880] Speed: 105.856673 samples/sec accuracy=76.722862 loss=0.950463 lr=0.000589 Epoch[187] Batch [0999]/[1880] Speed: 101.987459 samples/sec accuracy=76.717187 loss=0.950980 lr=0.000585 Epoch[187] Batch [1049]/[1880] Speed: 109.264982 samples/sec accuracy=76.656994 loss=0.952070 lr=0.000582 Epoch[187] Batch [1099]/[1880] Speed: 103.127986 samples/sec accuracy=76.642756 loss=0.952380 lr=0.000578 Epoch[187] Batch [1149]/[1880] Speed: 101.698104 samples/sec accuracy=76.642663 loss=0.951853 lr=0.000574 Epoch[187] Batch [1199]/[1880] Speed: 103.910902 samples/sec accuracy=76.668620 loss=0.950893 lr=0.000571 Epoch[187] Batch [1249]/[1880] Speed: 108.643894 samples/sec accuracy=76.665625 loss=0.950004 lr=0.000567 Epoch[187] Batch [1299]/[1880] Speed: 103.259382 samples/sec accuracy=76.671875 loss=0.949675 lr=0.000563 Epoch[187] Batch [1349]/[1880] Speed: 106.166779 samples/sec accuracy=76.674769 loss=0.949095 lr=0.000560 Epoch[187] Batch [1399]/[1880] Speed: 104.852154 samples/sec accuracy=76.672433 loss=0.949666 lr=0.000556 Epoch[187] Batch [1449]/[1880] Speed: 104.859567 samples/sec accuracy=76.682112 loss=0.949061 lr=0.000552 Epoch[187] Batch [1499]/[1880] Speed: 106.413596 samples/sec accuracy=76.652604 loss=0.950432 lr=0.000549 Epoch[187] Batch [1549]/[1880] Speed: 101.551770 samples/sec accuracy=76.682964 loss=0.948973 lr=0.000545 Epoch[187] Batch [1599]/[1880] Speed: 104.764554 samples/sec accuracy=76.687500 loss=0.949135 lr=0.000542 Epoch[187] Batch [1649]/[1880] Speed: 104.918410 samples/sec accuracy=76.678030 loss=0.949618 lr=0.000538 Epoch[187] Batch [1699]/[1880] Speed: 105.580351 samples/sec accuracy=76.665901 loss=0.949779 lr=0.000535 Epoch[187] Batch [1749]/[1880] Speed: 103.075860 samples/sec accuracy=76.689286 loss=0.949543 lr=0.000531 Epoch[187] Batch [1799]/[1880] Speed: 105.825752 samples/sec accuracy=76.704427 loss=0.948697 lr=0.000527 Epoch[187] Batch [1849]/[1880] Speed: 106.833135 samples/sec accuracy=76.692568 loss=0.949161 lr=0.000524 Batch [0049]/[0151]: acc-top1=60.171875 acc-top5=81.234375 Batch [0099]/[0151]: acc-top1=63.773438 acc-top5=83.132812 Batch [0149]/[0151]: acc-top1=62.427083 acc-top5=82.718750 [Epoch 187] training: accuracy=76.692154 loss=0.948609 [Epoch 187] speed: 104 samples/sec time cost: 2509.527429 [Epoch 187] validation: acc-top1=62.365480 acc-top5=82.698675 loss=1.708275 Epoch[188] Batch [0049]/[1880] Speed: 75.331899 samples/sec accuracy=76.703125 loss=0.962395 lr=0.000518 Epoch[188] Batch [0099]/[1880] Speed: 106.386903 samples/sec accuracy=76.664062 loss=0.962872 lr=0.000515 Epoch[188] Batch [0149]/[1880] Speed: 106.269192 samples/sec accuracy=76.432292 loss=0.959776 lr=0.000511 Epoch[188] Batch [0199]/[1880] Speed: 103.141132 samples/sec accuracy=76.550781 loss=0.952333 lr=0.000508 Epoch[188] Batch [0249]/[1880] Speed: 106.844178 samples/sec accuracy=76.578125 loss=0.952739 lr=0.000504 Epoch[188] Batch [0299]/[1880] Speed: 105.042719 samples/sec accuracy=76.679688 loss=0.947284 lr=0.000501 Epoch[188] Batch [0349]/[1880] Speed: 104.812353 samples/sec accuracy=76.687500 loss=0.947846 lr=0.000498 Epoch[188] Batch [0399]/[1880] Speed: 103.658038 samples/sec accuracy=76.685547 loss=0.946313 lr=0.000494 Epoch[188] Batch 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accuracy=76.907118 loss=0.941992 lr=0.000461 Epoch[188] Batch [0949]/[1880] Speed: 99.930203 samples/sec accuracy=76.873355 loss=0.943491 lr=0.000457 Epoch[188] Batch [0999]/[1880] Speed: 110.654601 samples/sec accuracy=76.907031 loss=0.941943 lr=0.000454 Epoch[188] Batch [1049]/[1880] Speed: 99.545110 samples/sec accuracy=76.904762 loss=0.941741 lr=0.000451 Epoch[188] Batch [1099]/[1880] Speed: 108.321631 samples/sec accuracy=76.910511 loss=0.941530 lr=0.000448 Epoch[188] Batch [1149]/[1880] Speed: 100.815394 samples/sec accuracy=76.901495 loss=0.942287 lr=0.000444 Epoch[188] Batch [1199]/[1880] Speed: 107.441498 samples/sec accuracy=76.936198 loss=0.941328 lr=0.000441 Epoch[188] Batch [1249]/[1880] Speed: 101.653850 samples/sec accuracy=76.932500 loss=0.941145 lr=0.000438 Epoch[188] Batch [1299]/[1880] Speed: 110.100517 samples/sec accuracy=76.904447 loss=0.941914 lr=0.000435 Epoch[188] Batch [1349]/[1880] Speed: 102.548470 samples/sec accuracy=76.899884 loss=0.942964 lr=0.000432 Epoch[188] Batch [1399]/[1880] Speed: 106.553258 samples/sec accuracy=76.869420 loss=0.943785 lr=0.000428 Epoch[188] Batch [1449]/[1880] Speed: 106.346915 samples/sec accuracy=76.881466 loss=0.943114 lr=0.000425 Epoch[188] Batch [1499]/[1880] Speed: 101.381692 samples/sec accuracy=76.901042 loss=0.942261 lr=0.000422 Epoch[188] Batch [1549]/[1880] Speed: 106.247784 samples/sec accuracy=76.905242 loss=0.942096 lr=0.000419 Epoch[188] Batch [1599]/[1880] Speed: 103.117284 samples/sec accuracy=76.879883 loss=0.942900 lr=0.000416 Epoch[188] Batch [1649]/[1880] Speed: 105.964057 samples/sec accuracy=76.879261 loss=0.942605 lr=0.000413 Epoch[188] Batch [1699]/[1880] Speed: 104.031159 samples/sec accuracy=76.879596 loss=0.942727 lr=0.000410 Epoch[188] Batch [1749]/[1880] Speed: 104.986583 samples/sec accuracy=76.879911 loss=0.942662 lr=0.000406 Epoch[188] Batch [1799]/[1880] Speed: 104.961369 samples/sec accuracy=76.871528 loss=0.942656 lr=0.000403 Epoch[188] Batch [1849]/[1880] Speed: 107.138616 samples/sec accuracy=76.856419 loss=0.943100 lr=0.000400 Batch [0049]/[0151]: acc-top1=59.875000 acc-top5=81.390625 Batch [0099]/[0151]: acc-top1=63.601562 acc-top5=83.257812 Batch [0149]/[0151]: acc-top1=62.265625 acc-top5=82.776042 [Epoch 188] training: accuracy=76.860040 loss=0.942705 [Epoch 188] speed: 104 samples/sec time cost: 2506.133244 [Epoch 188] validation: acc-top1=62.179222 acc-top5=82.745240 loss=1.712812 Epoch[189] Batch [0049]/[1880] Speed: 75.200654 samples/sec accuracy=76.125000 loss=0.955331 lr=0.000395 Epoch[189] Batch [0099]/[1880] Speed: 106.108081 samples/sec accuracy=76.164062 loss=0.954089 lr=0.000392 Epoch[189] Batch [0149]/[1880] Speed: 106.418349 samples/sec accuracy=76.432292 loss=0.952858 lr=0.000389 Epoch[189] Batch [0199]/[1880] Speed: 103.320414 samples/sec accuracy=76.378906 loss=0.952839 lr=0.000386 Epoch[189] Batch [0249]/[1880] Speed: 108.034732 samples/sec accuracy=76.678125 loss=0.948142 lr=0.000383 Epoch[189] Batch [0299]/[1880] Speed: 98.985030 samples/sec accuracy=76.718750 loss=0.948516 lr=0.000380 Epoch[189] Batch [0349]/[1880] Speed: 109.489214 samples/sec accuracy=76.595982 loss=0.951836 lr=0.000377 Epoch[189] Batch [0399]/[1880] Speed: 103.536288 samples/sec accuracy=76.681641 loss=0.948485 lr=0.000374 Epoch[189] Batch [0449]/[1880] Speed: 103.448442 samples/sec accuracy=76.739583 loss=0.943224 lr=0.000371 Epoch[189] Batch [0499]/[1880] Speed: 107.904438 samples/sec accuracy=76.807812 loss=0.941488 lr=0.000368 Epoch[189] Batch [0549]/[1880] Speed: 103.038207 samples/sec accuracy=76.909091 loss=0.938908 lr=0.000365 Epoch[189] Batch [0599]/[1880] Speed: 103.821918 samples/sec accuracy=76.942708 loss=0.938318 lr=0.000363 Epoch[189] Batch [0649]/[1880] Speed: 103.691060 samples/sec accuracy=76.926683 loss=0.937762 lr=0.000360 Epoch[189] Batch [0699]/[1880] Speed: 108.421097 samples/sec accuracy=77.011161 loss=0.935629 lr=0.000357 Epoch[189] Batch [0749]/[1880] Speed: 101.894110 samples/sec accuracy=77.027083 loss=0.935297 lr=0.000354 Epoch[189] Batch [0799]/[1880] Speed: 106.326633 samples/sec accuracy=77.033203 loss=0.935507 lr=0.000351 Epoch[189] Batch [0849]/[1880] Speed: 106.715649 samples/sec accuracy=77.023897 loss=0.935607 lr=0.000348 Epoch[189] Batch [0899]/[1880] Speed: 102.752270 samples/sec accuracy=77.016493 loss=0.935125 lr=0.000345 Epoch[189] Batch [0949]/[1880] Speed: 105.351850 samples/sec accuracy=77.008224 loss=0.935226 lr=0.000342 Epoch[189] Batch [0999]/[1880] Speed: 104.165897 samples/sec accuracy=76.997656 loss=0.935682 lr=0.000340 Epoch[189] Batch [1049]/[1880] Speed: 104.845441 samples/sec accuracy=76.991815 loss=0.934925 lr=0.000337 Epoch[189] Batch [1099]/[1880] Speed: 109.782276 samples/sec accuracy=77.019886 loss=0.934618 lr=0.000334 Epoch[189] Batch [1149]/[1880] Speed: 99.382484 samples/sec accuracy=77.023777 loss=0.934795 lr=0.000331 Epoch[189] Batch [1199]/[1880] Speed: 108.789246 samples/sec accuracy=77.035807 loss=0.933453 lr=0.000328 Epoch[189] Batch [1249]/[1880] Speed: 101.599707 samples/sec accuracy=77.023750 loss=0.933794 lr=0.000326 Epoch[189] Batch [1299]/[1880] Speed: 104.507060 samples/sec accuracy=77.002404 loss=0.934300 lr=0.000323 Epoch[189] Batch [1349]/[1880] Speed: 107.950045 samples/sec accuracy=77.009838 loss=0.933841 lr=0.000320 Epoch[189] Batch [1399]/[1880] Speed: 98.259073 samples/sec accuracy=77.025112 loss=0.933423 lr=0.000317 Epoch[189] Batch [1449]/[1880] Speed: 111.198555 samples/sec accuracy=77.011315 loss=0.933572 lr=0.000315 Epoch[189] Batch [1499]/[1880] Speed: 100.584457 samples/sec accuracy=76.994792 loss=0.933748 lr=0.000312 Epoch[189] Batch [1549]/[1880] Speed: 108.520839 samples/sec accuracy=76.955645 loss=0.935671 lr=0.000309 Epoch[189] Batch [1599]/[1880] Speed: 109.579724 samples/sec accuracy=76.912109 loss=0.937504 lr=0.000306 Epoch[189] Batch [1649]/[1880] Speed: 98.111669 samples/sec accuracy=76.929924 loss=0.936788 lr=0.000304 Epoch[189] Batch [1699]/[1880] Speed: 110.764413 samples/sec accuracy=76.938419 loss=0.936802 lr=0.000301 Epoch[189] Batch [1749]/[1880] Speed: 100.081167 samples/sec accuracy=76.941071 loss=0.936451 lr=0.000298 Epoch[189] Batch [1799]/[1880] Speed: 108.886149 samples/sec accuracy=76.957031 loss=0.935774 lr=0.000296 Epoch[189] Batch [1849]/[1880] Speed: 101.402316 samples/sec accuracy=76.966216 loss=0.935248 lr=0.000293 Batch [0049]/[0151]: acc-top1=60.156250 acc-top5=80.937500 Batch [0099]/[0151]: acc-top1=63.796875 acc-top5=83.070312 Batch [0149]/[0151]: acc-top1=62.385417 acc-top5=82.692708 [Epoch 189] training: accuracy=76.978474 loss=0.934869 [Epoch 189] speed: 104 samples/sec time cost: 2508.966174 [Epoch 189] validation: acc-top1=62.318916 acc-top5=82.667632 loss=1.714111 Epoch[190] Batch [0049]/[1880] Speed: 74.231146 samples/sec accuracy=77.765625 loss=0.920443 lr=0.000289 Epoch[190] Batch [0099]/[1880] Speed: 108.700278 samples/sec accuracy=77.960938 loss=0.893636 lr=0.000286 Epoch[190] Batch [0149]/[1880] Speed: 102.838084 samples/sec accuracy=77.817708 loss=0.898457 lr=0.000284 Epoch[190] Batch [0199]/[1880] Speed: 104.509411 samples/sec accuracy=78.015625 loss=0.891659 lr=0.000281 Epoch[190] Batch [0249]/[1880] Speed: 105.178103 samples/sec accuracy=77.940625 loss=0.900088 lr=0.000279 Epoch[190] Batch [0299]/[1880] Speed: 102.328438 samples/sec accuracy=77.786458 loss=0.907717 lr=0.000276 Epoch[190] Batch [0349]/[1880] Speed: 104.002636 samples/sec accuracy=77.627232 loss=0.915517 lr=0.000274 Epoch[190] Batch [0399]/[1880] Speed: 105.709853 samples/sec accuracy=77.583984 loss=0.917940 lr=0.000271 Epoch[190] Batch [0449]/[1880] Speed: 101.187629 samples/sec accuracy=77.477431 loss=0.921622 lr=0.000269 Epoch[190] Batch [0499]/[1880] Speed: 107.957768 samples/sec accuracy=77.418750 loss=0.923219 lr=0.000266 Epoch[190] Batch [0549]/[1880] Speed: 103.168076 samples/sec accuracy=77.397727 loss=0.923860 lr=0.000263 Epoch[190] Batch [0599]/[1880] Speed: 108.425259 samples/sec accuracy=77.412760 loss=0.922452 lr=0.000261 Epoch[190] Batch [0649]/[1880] Speed: 101.892551 samples/sec accuracy=77.330529 loss=0.924615 lr=0.000259 Epoch[190] Batch [0699]/[1880] Speed: 105.611111 samples/sec accuracy=77.350446 loss=0.923401 lr=0.000256 Epoch[190] Batch [0749]/[1880] Speed: 104.158114 samples/sec accuracy=77.285417 loss=0.924335 lr=0.000254 Epoch[190] Batch [0799]/[1880] Speed: 106.823622 samples/sec accuracy=77.317383 loss=0.923773 lr=0.000251 Epoch[190] Batch [0849]/[1880] Speed: 107.357349 samples/sec accuracy=77.305147 loss=0.924045 lr=0.000249 Epoch[190] Batch [0899]/[1880] Speed: 101.258264 samples/sec accuracy=77.289062 loss=0.924272 lr=0.000246 Epoch[190] Batch [0949]/[1880] Speed: 105.614173 samples/sec accuracy=77.311678 loss=0.924657 lr=0.000244 Epoch[190] Batch [0999]/[1880] Speed: 106.292375 samples/sec accuracy=77.321094 loss=0.924593 lr=0.000242 Epoch[190] Batch [1049]/[1880] Speed: 102.590538 samples/sec accuracy=77.303571 loss=0.925996 lr=0.000239 Epoch[190] Batch [1099]/[1880] Speed: 105.104732 samples/sec accuracy=77.271307 loss=0.926683 lr=0.000237 Epoch[190] Batch [1149]/[1880] Speed: 104.216451 samples/sec accuracy=77.307745 loss=0.925609 lr=0.000234 Epoch[190] Batch [1199]/[1880] Speed: 105.037030 samples/sec accuracy=77.294271 loss=0.926293 lr=0.000232 Epoch[190] Batch [1249]/[1880] Speed: 105.949646 samples/sec accuracy=77.306250 loss=0.926524 lr=0.000230 Epoch[190] Batch [1299]/[1880] Speed: 105.099949 samples/sec accuracy=77.280649 loss=0.927803 lr=0.000227 Epoch[190] Batch [1349]/[1880] Speed: 104.562395 samples/sec accuracy=77.272569 loss=0.927842 lr=0.000225 Epoch[190] Batch [1399]/[1880] Speed: 104.611649 samples/sec accuracy=77.276786 loss=0.927388 lr=0.000223 Epoch[190] Batch [1449]/[1880] Speed: 108.057426 samples/sec accuracy=77.268858 loss=0.928358 lr=0.000221 Epoch[190] Batch [1499]/[1880] Speed: 106.776781 samples/sec accuracy=77.275521 loss=0.927784 lr=0.000218 Epoch[190] Batch [1549]/[1880] Speed: 102.906449 samples/sec accuracy=77.314012 loss=0.926490 lr=0.000216 Epoch[190] Batch [1599]/[1880] Speed: 102.696355 samples/sec accuracy=77.304199 loss=0.926516 lr=0.000214 Epoch[190] Batch [1649]/[1880] Speed: 105.185547 samples/sec accuracy=77.339489 loss=0.924581 lr=0.000212 Epoch[190] Batch [1699]/[1880] Speed: 103.762634 samples/sec accuracy=77.339614 loss=0.923928 lr=0.000209 Epoch[190] Batch [1749]/[1880] Speed: 106.762665 samples/sec accuracy=77.340179 loss=0.924209 lr=0.000207 Epoch[190] Batch [1799]/[1880] Speed: 105.384180 samples/sec accuracy=77.337240 loss=0.924099 lr=0.000205 Epoch[190] Batch [1849]/[1880] Speed: 105.130744 samples/sec accuracy=77.345861 loss=0.923838 lr=0.000203 Batch [0049]/[0151]: acc-top1=60.140625 acc-top5=81.312500 Batch [0099]/[0151]: acc-top1=63.585938 acc-top5=83.226562 Batch [0149]/[0151]: acc-top1=62.291667 acc-top5=82.781250 [Epoch 190] training: accuracy=77.367852 loss=0.923486 [Epoch 190] speed: 104 samples/sec time cost: 2507.828554 [Epoch 190] validation: acc-top1=62.220613 acc-top5=82.745240 loss=1.708543 Epoch[191] Batch [0049]/[1880] Speed: 74.542955 samples/sec accuracy=77.421875 loss=0.918131 lr=0.000199 Epoch[191] Batch [0099]/[1880] Speed: 106.635788 samples/sec accuracy=77.554688 loss=0.912781 lr=0.000197 Epoch[191] Batch [0149]/[1880] Speed: 107.529072 samples/sec accuracy=77.656250 loss=0.903592 lr=0.000195 Epoch[191] Batch [0199]/[1880] Speed: 103.631333 samples/sec accuracy=77.472656 loss=0.909665 lr=0.000193 Epoch[191] Batch [0249]/[1880] Speed: 101.897521 samples/sec accuracy=77.450000 loss=0.914759 lr=0.000191 Epoch[191] Batch [0299]/[1880] Speed: 105.232746 samples/sec accuracy=77.325521 loss=0.919271 lr=0.000189 Epoch[191] Batch [0349]/[1880] Speed: 105.597349 samples/sec accuracy=77.408482 loss=0.919265 lr=0.000186 Epoch[191] Batch [0399]/[1880] Speed: 105.859636 samples/sec accuracy=77.396484 loss=0.921238 lr=0.000184 Epoch[191] Batch [0449]/[1880] Speed: 103.812527 samples/sec accuracy=77.288194 loss=0.925996 lr=0.000182 Epoch[191] 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samples/sec accuracy=77.393092 loss=0.917480 lr=0.000162 Epoch[191] Batch [0999]/[1880] Speed: 104.204374 samples/sec accuracy=77.367188 loss=0.918749 lr=0.000160 Epoch[191] Batch [1049]/[1880] Speed: 103.332940 samples/sec accuracy=77.344494 loss=0.920327 lr=0.000158 Epoch[191] Batch [1099]/[1880] Speed: 108.353302 samples/sec accuracy=77.334517 loss=0.920525 lr=0.000156 Epoch[191] Batch [1149]/[1880] Speed: 98.632649 samples/sec accuracy=77.339674 loss=0.920585 lr=0.000154 Epoch[191] Batch [1199]/[1880] Speed: 108.206660 samples/sec accuracy=77.361979 loss=0.920093 lr=0.000152 Epoch[191] Batch [1249]/[1880] Speed: 111.128452 samples/sec accuracy=77.332500 loss=0.920944 lr=0.000151 Epoch[191] Batch [1299]/[1880] Speed: 99.016922 samples/sec accuracy=77.340745 loss=0.921079 lr=0.000149 Epoch[191] Batch [1349]/[1880] Speed: 110.496456 samples/sec accuracy=77.343750 loss=0.921338 lr=0.000147 Epoch[191] Batch [1399]/[1880] Speed: 97.812063 samples/sec accuracy=77.388393 loss=0.920100 lr=0.000145 Epoch[191] Batch [1449]/[1880] Speed: 109.703678 samples/sec accuracy=77.368534 loss=0.920617 lr=0.000143 Epoch[191] Batch [1499]/[1880] Speed: 99.823698 samples/sec accuracy=77.394271 loss=0.919390 lr=0.000141 Epoch[191] Batch [1549]/[1880] Speed: 110.420552 samples/sec accuracy=77.380544 loss=0.919867 lr=0.000139 Epoch[191] Batch [1599]/[1880] Speed: 99.471433 samples/sec accuracy=77.378418 loss=0.920236 lr=0.000138 Epoch[191] Batch [1649]/[1880] Speed: 110.678603 samples/sec accuracy=77.365530 loss=0.920463 lr=0.000136 Epoch[191] Batch [1699]/[1880] Speed: 104.239035 samples/sec accuracy=77.342371 loss=0.921767 lr=0.000134 Epoch[191] Batch [1749]/[1880] Speed: 104.144945 samples/sec accuracy=77.337054 loss=0.922000 lr=0.000132 Epoch[191] Batch [1799]/[1880] Speed: 107.807031 samples/sec accuracy=77.343750 loss=0.921424 lr=0.000131 Epoch[191] Batch [1849]/[1880] Speed: 101.362671 samples/sec accuracy=77.335304 loss=0.921665 lr=0.000129 Batch [0049]/[0151]: acc-top1=60.218750 acc-top5=81.187500 Batch [0099]/[0151]: acc-top1=63.781250 acc-top5=83.117188 Batch [0149]/[0151]: acc-top1=62.406250 acc-top5=82.661458 [Epoch 191] training: accuracy=77.325050 loss=0.922208 [Epoch 191] speed: 104 samples/sec time cost: 2510.411287 [Epoch 191] validation: acc-top1=62.329263 acc-top5=82.626242 loss=1.712931 Epoch[192] Batch [0049]/[1879] Speed: 74.570148 samples/sec accuracy=77.328125 loss=0.931750 lr=0.000126 Epoch[192] Batch [0099]/[1879] Speed: 107.358408 samples/sec accuracy=77.601562 loss=0.917120 lr=0.000124 Epoch[192] Batch [0149]/[1879] Speed: 102.535592 samples/sec accuracy=77.609375 loss=0.917991 lr=0.000123 Epoch[192] Batch [0199]/[1879] Speed: 102.803997 samples/sec accuracy=77.386719 loss=0.919086 lr=0.000121 Epoch[192] Batch [0249]/[1879] Speed: 108.284672 samples/sec accuracy=77.456250 loss=0.917332 lr=0.000119 Epoch[192] Batch [0299]/[1879] Speed: 98.860120 samples/sec accuracy=77.432292 loss=0.919451 lr=0.000118 Epoch[192] Batch 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accuracy=77.466797 loss=0.920321 lr=0.000101 Epoch[192] Batch [0849]/[1879] Speed: 98.321737 samples/sec accuracy=77.431066 loss=0.921746 lr=0.000100 Epoch[192] Batch [0899]/[1879] Speed: 111.107000 samples/sec accuracy=77.476562 loss=0.920735 lr=0.000098 Epoch[192] Batch [0949]/[1879] Speed: 100.253215 samples/sec accuracy=77.506579 loss=0.919827 lr=0.000097 Epoch[192] Batch [0999]/[1879] Speed: 108.422253 samples/sec accuracy=77.536719 loss=0.918456 lr=0.000095 Epoch[192] Batch [1049]/[1879] Speed: 107.068869 samples/sec accuracy=77.536458 loss=0.917941 lr=0.000094 Epoch[192] Batch [1099]/[1879] Speed: 102.661913 samples/sec accuracy=77.541903 loss=0.916513 lr=0.000092 Epoch[192] Batch [1149]/[1879] Speed: 107.450972 samples/sec accuracy=77.542120 loss=0.916572 lr=0.000091 Epoch[192] Batch [1199]/[1879] Speed: 98.878111 samples/sec accuracy=77.519531 loss=0.917876 lr=0.000089 Epoch[192] Batch [1249]/[1879] Speed: 111.190858 samples/sec accuracy=77.511250 loss=0.919101 lr=0.000088 Epoch[192] Batch [1299]/[1879] Speed: 105.676069 samples/sec accuracy=77.544471 loss=0.918084 lr=0.000087 Epoch[192] Batch [1349]/[1879] Speed: 101.140996 samples/sec accuracy=77.548611 loss=0.917552 lr=0.000085 Epoch[192] Batch [1399]/[1879] Speed: 109.581538 samples/sec accuracy=77.527344 loss=0.917474 lr=0.000084 Epoch[192] Batch [1449]/[1879] Speed: 102.353742 samples/sec accuracy=77.554957 loss=0.916019 lr=0.000082 Epoch[192] Batch [1499]/[1879] Speed: 103.919256 samples/sec accuracy=77.550000 loss=0.915947 lr=0.000081 Epoch[192] Batch [1549]/[1879] Speed: 105.045650 samples/sec accuracy=77.552419 loss=0.915783 lr=0.000080 Epoch[192] Batch [1599]/[1879] Speed: 103.927484 samples/sec accuracy=77.559082 loss=0.915748 lr=0.000078 Epoch[192] Batch [1649]/[1879] Speed: 104.465776 samples/sec accuracy=77.552083 loss=0.916112 lr=0.000077 Epoch[192] Batch [1699]/[1879] Speed: 108.672191 samples/sec accuracy=77.513787 loss=0.917353 lr=0.000076 Epoch[192] Batch [1749]/[1879] Speed: 100.355796 samples/sec accuracy=77.510714 loss=0.917373 lr=0.000074 Epoch[192] Batch [1799]/[1879] Speed: 108.440692 samples/sec accuracy=77.506510 loss=0.917620 lr=0.000073 Epoch[192] Batch [1849]/[1879] Speed: 101.970012 samples/sec accuracy=77.504645 loss=0.917505 lr=0.000072 Batch [0049]/[0151]: acc-top1=60.234375 acc-top5=81.296875 Batch [0099]/[0151]: acc-top1=63.828125 acc-top5=83.210938 Batch [0149]/[0151]: acc-top1=62.406250 acc-top5=82.697917 [Epoch 192] training: accuracy=77.493015 loss=0.917692 [Epoch 192] speed: 104 samples/sec time cost: 2508.426225 [Epoch 192] validation: acc-top1=62.329263 acc-top5=82.672806 loss=1.707746 Epoch[193] Batch [0049]/[1880] Speed: 76.100180 samples/sec accuracy=77.734375 loss=0.909254 lr=0.000070 Epoch[193] Batch [0099]/[1880] Speed: 105.737831 samples/sec accuracy=77.109375 loss=0.926238 lr=0.000068 Epoch[193] Batch [0149]/[1880] Speed: 107.958423 samples/sec accuracy=77.260417 loss=0.917873 lr=0.000067 Epoch[193] Batch [0199]/[1880] Speed: 97.966743 samples/sec accuracy=77.257812 loss=0.922737 lr=0.000066 Epoch[193] Batch [0249]/[1880] Speed: 111.401465 samples/sec accuracy=77.487500 loss=0.914802 lr=0.000065 Epoch[193] Batch [0299]/[1880] Speed: 98.878456 samples/sec accuracy=77.442708 loss=0.917775 lr=0.000063 Epoch[193] Batch [0349]/[1880] Speed: 110.456286 samples/sec accuracy=77.450893 loss=0.915552 lr=0.000062 Epoch[193] Batch [0399]/[1880] Speed: 97.495071 samples/sec accuracy=77.449219 loss=0.916252 lr=0.000061 Epoch[193] Batch [0449]/[1880] Speed: 111.875714 samples/sec accuracy=77.473958 loss=0.916493 lr=0.000060 Epoch[193] Batch [0499]/[1880] Speed: 110.981929 samples/sec accuracy=77.515625 loss=0.913419 lr=0.000059 Epoch[193] Batch [0549]/[1880] Speed: 98.916278 samples/sec accuracy=77.485795 loss=0.915190 lr=0.000057 Epoch[193] Batch [0599]/[1880] Speed: 108.007972 samples/sec accuracy=77.485677 loss=0.914723 lr=0.000056 Epoch[193] Batch [0649]/[1880] Speed: 102.971539 samples/sec accuracy=77.427885 loss=0.914782 lr=0.000055 Epoch[193] Batch [0699]/[1880] Speed: 107.408462 samples/sec accuracy=77.431920 loss=0.913757 lr=0.000054 Epoch[193] Batch [0749]/[1880] Speed: 99.530646 samples/sec accuracy=77.434375 loss=0.914679 lr=0.000053 Epoch[193] Batch [0799]/[1880] Speed: 112.065116 samples/sec accuracy=77.446289 loss=0.914311 lr=0.000052 Epoch[193] Batch [0849]/[1880] Speed: 103.468440 samples/sec accuracy=77.472426 loss=0.913362 lr=0.000051 Epoch[193] Batch [0899]/[1880] Speed: 103.565571 samples/sec accuracy=77.489583 loss=0.913773 lr=0.000049 Epoch[193] Batch [0949]/[1880] Speed: 107.227233 samples/sec accuracy=77.494243 loss=0.914805 lr=0.000048 Epoch[193] Batch [0999]/[1880] Speed: 102.094455 samples/sec accuracy=77.525000 loss=0.914433 lr=0.000047 Epoch[193] Batch [1049]/[1880] Speed: 106.897736 samples/sec accuracy=77.517113 loss=0.915637 lr=0.000046 Epoch[193] Batch [1099]/[1880] Speed: 105.617542 samples/sec accuracy=77.532670 loss=0.915053 lr=0.000045 Epoch[193] Batch [1149]/[1880] Speed: 101.619673 samples/sec accuracy=77.542120 loss=0.915105 lr=0.000044 Epoch[193] Batch [1199]/[1880] Speed: 110.389504 samples/sec accuracy=77.555990 loss=0.915067 lr=0.000043 Epoch[193] Batch [1249]/[1880] Speed: 99.933714 samples/sec accuracy=77.557500 loss=0.914889 lr=0.000042 Epoch[193] Batch [1299]/[1880] Speed: 107.931010 samples/sec accuracy=77.567308 loss=0.914580 lr=0.000041 Epoch[193] Batch [1349]/[1880] Speed: 107.940759 samples/sec accuracy=77.589120 loss=0.914682 lr=0.000040 Epoch[193] Batch [1399]/[1880] Speed: 101.309053 samples/sec accuracy=77.594308 loss=0.914305 lr=0.000039 Epoch[193] Batch [1449]/[1880] Speed: 106.509642 samples/sec accuracy=77.571659 loss=0.915667 lr=0.000038 Epoch[193] Batch [1499]/[1880] Speed: 104.599935 samples/sec accuracy=77.560938 loss=0.915709 lr=0.000037 Epoch[193] Batch [1549]/[1880] Speed: 104.864582 samples/sec accuracy=77.564012 loss=0.916049 lr=0.000036 Epoch[193] Batch [1599]/[1880] Speed: 105.657719 samples/sec accuracy=77.555664 loss=0.916291 lr=0.000036 Epoch[193] Batch [1649]/[1880] Speed: 108.584969 samples/sec accuracy=77.560606 loss=0.915869 lr=0.000035 Epoch[193] Batch [1699]/[1880] Speed: 101.074781 samples/sec accuracy=77.561121 loss=0.915895 lr=0.000034 Epoch[193] Batch [1749]/[1880] Speed: 106.192528 samples/sec accuracy=77.547321 loss=0.915793 lr=0.000033 Epoch[193] Batch [1799]/[1880] Speed: 105.175145 samples/sec accuracy=77.542101 loss=0.916279 lr=0.000032 Epoch[193] Batch [1849]/[1880] Speed: 105.033450 samples/sec accuracy=77.557010 loss=0.916116 lr=0.000031 Batch [0049]/[0151]: acc-top1=59.953125 acc-top5=81.468750 Batch [0099]/[0151]: acc-top1=63.625000 acc-top5=83.304688 Batch [0149]/[0151]: acc-top1=62.322917 acc-top5=82.838542 [Epoch 193] training: accuracy=77.556100 loss=0.915986 [Epoch 193] speed: 104 samples/sec time cost: 2505.716255 [Epoch 193] validation: acc-top1=62.246482 acc-top5=82.802152 loss=1.705216 Epoch[194] Batch [0049]/[1880] Speed: 74.230628 samples/sec accuracy=76.640625 loss=0.920706 lr=0.000030 Epoch[194] Batch [0099]/[1880] Speed: 108.162563 samples/sec accuracy=77.000000 loss=0.919780 lr=0.000029 Epoch[194] Batch [0149]/[1880] Speed: 102.033596 samples/sec accuracy=77.135417 loss=0.913467 lr=0.000028 Epoch[194] Batch [0199]/[1880] Speed: 108.431759 samples/sec accuracy=77.230469 loss=0.912825 lr=0.000027 Epoch[194] Batch [0249]/[1880] Speed: 101.261260 samples/sec accuracy=77.440625 loss=0.912292 lr=0.000026 Epoch[194] Batch [0299]/[1880] Speed: 107.334498 samples/sec accuracy=77.549479 loss=0.912229 lr=0.000026 Epoch[194] Batch [0349]/[1880] Speed: 108.260418 samples/sec accuracy=77.569196 loss=0.911825 lr=0.000025 Epoch[194] Batch [0399]/[1880] Speed: 100.451674 samples/sec accuracy=77.580078 loss=0.914402 lr=0.000024 Epoch[194] Batch [0449]/[1880] Speed: 110.625244 samples/sec accuracy=77.473958 loss=0.918790 lr=0.000023 Epoch[194] Batch [0499]/[1880] Speed: 100.237305 samples/sec accuracy=77.529687 loss=0.915778 lr=0.000023 Epoch[194] Batch [0549]/[1880] Speed: 106.763833 samples/sec accuracy=77.613636 loss=0.914094 lr=0.000022 Epoch[194] Batch [0599]/[1880] Speed: 104.361689 samples/sec accuracy=77.657552 loss=0.911540 lr=0.000021 Epoch[194] Batch [0649]/[1880] Speed: 105.708456 samples/sec accuracy=77.629808 loss=0.913524 lr=0.000021 Epoch[194] Batch [0699]/[1880] Speed: 105.955638 samples/sec accuracy=77.591518 loss=0.914559 lr=0.000020 Epoch[194] Batch [0749]/[1880] Speed: 101.631782 samples/sec accuracy=77.590625 loss=0.913866 lr=0.000019 Epoch[194] Batch [0799]/[1880] Speed: 109.680227 samples/sec accuracy=77.558594 loss=0.914435 lr=0.000018 Epoch[194] Batch [0849]/[1880] Speed: 96.911545 samples/sec accuracy=77.491728 loss=0.916573 lr=0.000018 Epoch[194] Batch [0899]/[1880] Speed: 110.380597 samples/sec accuracy=77.474826 loss=0.917132 lr=0.000017 Epoch[194] Batch [0949]/[1880] Speed: 109.989122 samples/sec accuracy=77.464638 loss=0.917458 lr=0.000017 Epoch[194] Batch [0999]/[1880] Speed: 100.950543 samples/sec accuracy=77.493750 loss=0.917239 lr=0.000016 Epoch[194] Batch [1049]/[1880] Speed: 108.220026 samples/sec accuracy=77.540923 loss=0.916255 lr=0.000015 Epoch[194] Batch [1099]/[1880] Speed: 100.876918 samples/sec accuracy=77.552557 loss=0.915354 lr=0.000015 Epoch[194] Batch [1149]/[1880] Speed: 109.590405 samples/sec accuracy=77.594429 loss=0.913511 lr=0.000014 Epoch[194] Batch [1199]/[1880] Speed: 101.672165 samples/sec accuracy=77.578125 loss=0.913821 lr=0.000014 Epoch[194] Batch [1249]/[1880] Speed: 107.850440 samples/sec accuracy=77.562500 loss=0.914586 lr=0.000013 Epoch[194] Batch [1299]/[1880] Speed: 99.968605 samples/sec accuracy=77.533654 loss=0.916146 lr=0.000012 Epoch[194] Batch [1349]/[1880] Speed: 109.959626 samples/sec accuracy=77.541667 loss=0.915928 lr=0.000012 Epoch[194] Batch [1399]/[1880] Speed: 99.998729 samples/sec accuracy=77.576451 loss=0.914428 lr=0.000011 Epoch[194] Batch [1449]/[1880] Speed: 111.417060 samples/sec accuracy=77.581358 loss=0.914359 lr=0.000011 Epoch[194] Batch [1499]/[1880] Speed: 104.030029 samples/sec accuracy=77.585417 loss=0.914606 lr=0.000010 Epoch[194] Batch [1549]/[1880] Speed: 103.574368 samples/sec accuracy=77.567540 loss=0.914752 lr=0.000010 Epoch[194] Batch [1599]/[1880] Speed: 106.786849 samples/sec accuracy=77.572266 loss=0.914161 lr=0.000009 Epoch[194] Batch [1649]/[1880] Speed: 104.712521 samples/sec accuracy=77.582860 loss=0.913733 lr=0.000009 Epoch[194] Batch [1699]/[1880] Speed: 105.033313 samples/sec accuracy=77.560202 loss=0.914709 lr=0.000009 Epoch[194] Batch [1749]/[1880] Speed: 102.547130 samples/sec accuracy=77.549554 loss=0.915342 lr=0.000008 Epoch[194] Batch [1799]/[1880] Speed: 105.906444 samples/sec accuracy=77.560764 loss=0.914719 lr=0.000008 Epoch[194] Batch [1849]/[1880] Speed: 106.545645 samples/sec accuracy=77.535051 loss=0.915180 lr=0.000007 Batch [0049]/[0151]: acc-top1=60.218750 acc-top5=81.312500 Batch [0099]/[0151]: acc-top1=63.882812 acc-top5=83.156250 Batch [0149]/[0151]: acc-top1=62.500000 acc-top5=82.635417 [Epoch 194] training: accuracy=77.533245 loss=0.915214 [Epoch 194] speed: 104 samples/sec time cost: 2503.610612 [Epoch 194] validation: acc-top1=62.432740 acc-top5=82.615894 loss=1.711376 Epoch[195] Batch [0049]/[1880] Speed: 74.561045 samples/sec accuracy=77.406250 loss=0.919911 lr=0.000007 Epoch[195] Batch [0099]/[1880] Speed: 106.927765 samples/sec accuracy=78.054688 loss=0.902862 lr=0.000006 Epoch[195] Batch [0149]/[1880] Speed: 103.475258 samples/sec accuracy=78.010417 loss=0.905843 lr=0.000006 Epoch[195] Batch [0199]/[1880] Speed: 104.701843 samples/sec accuracy=78.031250 loss=0.905843 lr=0.000005 Epoch[195] Batch [0249]/[1880] Speed: 108.151453 samples/sec accuracy=77.775000 loss=0.911008 lr=0.000005 Epoch[195] Batch [0299]/[1880] Speed: 101.195264 samples/sec accuracy=77.692708 loss=0.913501 lr=0.000005 Epoch[195] Batch [0349]/[1880] Speed: 107.871681 samples/sec accuracy=77.687500 loss=0.914205 lr=0.000004 Epoch[195] Batch [0399]/[1880] Speed: 103.138067 samples/sec accuracy=77.685547 loss=0.909962 lr=0.000004 Epoch[195] Batch [0449]/[1880] Speed: 106.388854 samples/sec accuracy=77.704861 loss=0.910739 lr=0.000004 Epoch[195] Batch [0499]/[1880] Speed: 105.175599 samples/sec accuracy=77.634375 loss=0.911415 lr=0.000003 Epoch[195] Batch [0549]/[1880] Speed: 102.986199 samples/sec accuracy=77.600852 loss=0.911590 lr=0.000003 Epoch[195] Batch [0599]/[1880] Speed: 104.777125 samples/sec accuracy=77.687500 loss=0.907916 lr=0.000003 Epoch[195] Batch [0649]/[1880] Speed: 106.573225 samples/sec accuracy=77.627404 loss=0.911179 lr=0.000003 Epoch[195] Batch [0699]/[1880] Speed: 106.651847 samples/sec accuracy=77.658482 loss=0.910330 lr=0.000002 Epoch[195] Batch [0749]/[1880] Speed: 102.304400 samples/sec accuracy=77.601042 loss=0.912303 lr=0.000002 Epoch[195] Batch [0799]/[1880] Speed: 106.731462 samples/sec accuracy=77.587891 loss=0.912209 lr=0.000002 Epoch[195] Batch [0849]/[1880] Speed: 106.561696 samples/sec accuracy=77.568015 loss=0.912710 lr=0.000002 Epoch[195] Batch [0899]/[1880] Speed: 102.999457 samples/sec accuracy=77.601562 loss=0.912380 lr=0.000002 Epoch[195] Batch [0949]/[1880] Speed: 109.363076 samples/sec accuracy=77.561678 loss=0.914498 lr=0.000001 Epoch[195] Batch [0999]/[1880] Speed: 98.593500 samples/sec accuracy=77.586719 loss=0.914453 lr=0.000001 Epoch[195] Batch [1049]/[1880] Speed: 109.650417 samples/sec accuracy=77.569940 loss=0.914453 lr=0.000001 Epoch[195] Batch [1099]/[1880] Speed: 101.395435 samples/sec accuracy=77.575284 loss=0.913691 lr=0.000001 Epoch[195] Batch [1149]/[1880] Speed: 106.261783 samples/sec accuracy=77.540082 loss=0.915088 lr=0.000001 Epoch[195] Batch [1199]/[1880] Speed: 104.179558 samples/sec accuracy=77.555990 loss=0.915133 lr=0.000001 Epoch[195] Batch [1249]/[1880] Speed: 101.911350 samples/sec accuracy=77.538125 loss=0.915649 lr=0.000001 Epoch[195] Batch [1299]/[1880] Speed: 108.860857 samples/sec accuracy=77.521034 loss=0.916024 lr=0.000000 Epoch[195] Batch [1349]/[1880] Speed: 103.994333 samples/sec accuracy=77.479745 loss=0.916068 lr=0.000000 Epoch[195] Batch [1399]/[1880] Speed: 104.799458 samples/sec accuracy=77.469308 loss=0.916578 lr=0.000000 Epoch[195] Batch [1449]/[1880] Speed: 105.733110 samples/sec accuracy=77.471983 loss=0.916702 lr=0.000000 Epoch[195] Batch [1499]/[1880] Speed: 103.546634 samples/sec accuracy=77.494792 loss=0.916931 lr=0.000000 Epoch[195] Batch [1549]/[1880] Speed: 105.163265 samples/sec accuracy=77.492944 loss=0.916867 lr=0.000000 Epoch[195] Batch [1599]/[1880] Speed: 107.224597 samples/sec accuracy=77.501465 loss=0.916650 lr=0.000000 Epoch[195] Batch [1649]/[1880] Speed: 102.089494 samples/sec accuracy=77.522254 loss=0.915795 lr=0.000000 Epoch[195] Batch [1699]/[1880] Speed: 109.890899 samples/sec accuracy=77.542739 loss=0.915556 lr=0.000000 Epoch[195] Batch [1749]/[1880] Speed: 99.503575 samples/sec accuracy=77.539286 loss=0.916195 lr=0.000000 Epoch[195] Batch [1799]/[1880] Speed: 108.727063 samples/sec accuracy=77.545139 loss=0.915776 lr=0.000000 Epoch[195] Batch [1849]/[1880] Speed: 104.957488 samples/sec accuracy=77.528716 loss=0.916067 lr=0.000000 Batch [0049]/[0151]: acc-top1=60.250000 acc-top5=81.156250 Batch [0099]/[0151]: acc-top1=63.843750 acc-top5=83.156250 Batch [0149]/[0151]: acc-top1=62.416667 acc-top5=82.692708 [Epoch 195] training: accuracy=77.522856 loss=0.916533 [Epoch 195] speed: 104 samples/sec time cost: 2505.069107 [Epoch 195] validation: acc-top1=62.349959 acc-top5=82.657285 loss=1.707070