Namespace(accumulate=1, batch_norm=False, batch_size=8, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, hard_weight=0.5, hashtag='', input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='slowfast_8x8_res50_seg1_kinetics400_b8_g8_f64s1_cosine_nag_lr11_warm34_warm01_epoch196_video_cleanv3.txt', lr=0.11, 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='slowfast_8x8_resnet50_kinetics400', momentum=0.9, new_height=256, new_length=64, new_step=1, 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/slowfast/slowfast_8x8_res50_seg1_kinetics400_b8_g8_f64s1_cosine_nag_lr11_warm34_warm01_epoch196_video_cleanv3', save_frequency=20, scale_ratios='1.0,0.8', slow_temporal_stride=8, slowfast=True, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=34, warmup_lr=0.01, wd=0.0001) Total batch size is set to 64 on 8 GPUs SlowFast( (fast_conv1): Conv3D(3 -> 8, kernel_size=(5, 7, 7), stride=(1, 2, 2), padding=(2, 3, 3), bias=False) (fast_bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (fast_relu): Activation(relu) (fast_maxpool): MaxPool3D(size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (fast_res2): HybridSequential( (0): Bottleneck( (conv1): Conv3D(8 -> 8, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv2): Conv3D(8 -> 8, 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=8) (conv3): Conv3D(8 -> 32, 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=32) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(8 -> 32, 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=32) ) ) (1): Bottleneck( (conv1): Conv3D(32 -> 8, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv2): Conv3D(8 -> 8, 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=8) (conv3): Conv3D(8 -> 32, 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=32) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(32 -> 8, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv2): Conv3D(8 -> 8, 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=8) (conv3): Conv3D(8 -> 32, 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=32) (relu): Activation(relu) ) ) (fast_res3): HybridSequential( (0): Bottleneck( (conv1): Conv3D(32 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, kernel_size=(1, 3, 3), stride=(1, 2, 2), 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=16) (conv3): Conv3D(16 -> 64, 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=64) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(32 -> 64, 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=64) ) ) (1): Bottleneck( (conv1): Conv3D(64 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, 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=16) (conv3): Conv3D(16 -> 64, 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=64) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(64 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, 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=16) (conv3): Conv3D(16 -> 64, 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=64) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(64 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, 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=16) (conv3): Conv3D(16 -> 64, 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=64) (relu): Activation(relu) ) ) (fast_res4): HybridSequential( (0): Bottleneck( (conv1): Conv3D(64 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 2, 2), 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=32) (conv3): Conv3D(32 -> 128, 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=128) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(64 -> 128, 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=128) ) ) (1): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, 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=32) (conv3): Conv3D(32 -> 128, 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=128) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, 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=32) (conv3): Conv3D(32 -> 128, 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=128) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, 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=32) (conv3): Conv3D(32 -> 128, 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=128) (relu): Activation(relu) ) (4): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, 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=32) (conv3): Conv3D(32 -> 128, 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=128) (relu): Activation(relu) ) (5): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, 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=32) (conv3): Conv3D(32 -> 128, 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=128) (relu): Activation(relu) ) ) (fast_res5): HybridSequential( (0): Bottleneck( (conv1): Conv3D(128 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 2, 2), 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) (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) (downsample): HybridSequential( (0): Conv3D(128 -> 256, 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=256) ) ) (1): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (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) (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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (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) (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) ) ) (lateral_p1): HybridSequential( (0): Conv3D(8 -> 16, kernel_size=(7, 1, 1), stride=(4, 1, 1), padding=(3, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (2): Activation(relu) ) (lateral_res2): HybridSequential( (0): Conv3D(32 -> 64, kernel_size=(7, 1, 1), stride=(4, 1, 1), padding=(3, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (lateral_res3): HybridSequential( (0): Conv3D(64 -> 128, kernel_size=(7, 1, 1), stride=(4, 1, 1), padding=(3, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (lateral_res4): HybridSequential( (0): Conv3D(128 -> 256, kernel_size=(7, 1, 1), stride=(4, 1, 1), padding=(3, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) ) (slow_conv1): Conv3D(3 -> 64, kernel_size=(1, 7, 7), stride=(1, 2, 2), padding=(0, 3, 3), bias=False) (slow_bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (slow_relu): Activation(relu) (slow_maxpool): MaxPool3D(size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (slow_res2): HybridSequential( (0): Bottleneck( (conv1): Conv3D(80 -> 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) (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) (downsample): HybridSequential( (0): Conv3D(80 -> 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) ) ) (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) (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) (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) ) ) (slow_res3): HybridSequential( (0): Bottleneck( (conv1): Conv3D(320 -> 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, 2, 2), 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) (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) (downsample): HybridSequential( (0): Conv3D(320 -> 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) ) ) (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) (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) (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) (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) ) ) (slow_res4): HybridSequential( (0): Bottleneck( (conv1): Conv3D(640 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 2, 2), 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) (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) (downsample): HybridSequential( (0): Conv3D(640 -> 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) ) ) (1): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) (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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) (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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) (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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) (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=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (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) (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) ) ) (slow_res5): HybridSequential( (0): Bottleneck( (conv1): Conv3D(1280 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 2, 2), 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=512) (conv3): Conv3D(512 -> 2048, 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=2048) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(1280 -> 2048, 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=2048) ) ) (1): Bottleneck( (conv1): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv3D(512 -> 512, 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=512) (conv3): Conv3D(512 -> 2048, 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=2048) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv3D(512 -> 512, 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=512) (conv3): Conv3D(512 -> 2048, 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=2048) (relu): Activation(relu) ) ) (avg): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (dp): Dropout(p = 0.5, axes=()) (fc): Dense(2304 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[3759] Speed: 31.155063 samples/sec accuracy=0.531250 loss=6.011797 lr=0.010039 Epoch[000] Batch [0099]/[3759] Speed: 59.065629 samples/sec accuracy=0.687500 loss=5.966655 lr=0.010078 Epoch[000] Batch [0149]/[3759] Speed: 60.641665 samples/sec accuracy=0.760417 loss=5.938892 lr=0.010117 Epoch[000] Batch [0199]/[3759] Speed: 59.562926 samples/sec accuracy=0.953125 loss=5.896890 lr=0.010156 Epoch[000] Batch [0249]/[3759] Speed: 60.524043 samples/sec accuracy=1.237500 loss=5.862273 lr=0.010196 Epoch[000] Batch [0299]/[3759] Speed: 60.115248 samples/sec accuracy=1.317708 loss=5.839623 lr=0.010235 Epoch[000] Batch [0349]/[3759] Speed: 59.749909 samples/sec accuracy=1.437500 loss=5.817404 lr=0.010274 Epoch[000] Batch [0399]/[3759] Speed: 60.151949 samples/sec accuracy=1.507812 loss=5.800667 lr=0.010313 Epoch[000] Batch [0449]/[3759] Speed: 60.134923 samples/sec accuracy=1.555556 loss=5.785591 lr=0.010352 Epoch[000] Batch [0499]/[3759] Speed: 60.039146 samples/sec 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samples/sec accuracy=3.311422 loss=5.444553 lr=0.012269 Epoch[000] Batch [2949]/[3759] Speed: 60.512735 samples/sec accuracy=3.336864 loss=5.441127 lr=0.012308 Epoch[000] Batch [2999]/[3759] Speed: 60.493481 samples/sec accuracy=3.355729 loss=5.437490 lr=0.012347 Epoch[000] Batch [3049]/[3759] Speed: 60.247596 samples/sec accuracy=3.366291 loss=5.433878 lr=0.012386 Epoch[000] Batch [3099]/[3759] Speed: 60.073379 samples/sec accuracy=3.386089 loss=5.430291 lr=0.012426 Epoch[000] Batch [3149]/[3759] Speed: 59.994627 samples/sec accuracy=3.406250 loss=5.426164 lr=0.012465 Epoch[000] Batch [3199]/[3759] Speed: 60.245789 samples/sec accuracy=3.423828 loss=5.422198 lr=0.012504 Epoch[000] Batch [3249]/[3759] Speed: 60.289469 samples/sec accuracy=3.433173 loss=5.418504 lr=0.012543 Epoch[000] Batch [3299]/[3759] Speed: 60.661009 samples/sec accuracy=3.460701 loss=5.414699 lr=0.012582 Epoch[000] Batch [3349]/[3759] Speed: 60.157435 samples/sec accuracy=3.475280 loss=5.411580 lr=0.012621 Epoch[000] Batch [3399]/[3759] Speed: 60.819708 samples/sec accuracy=3.494485 loss=5.408635 lr=0.012660 Epoch[000] Batch [3449]/[3759] Speed: 60.250154 samples/sec accuracy=3.514493 loss=5.405305 lr=0.012699 Epoch[000] Batch [3499]/[3759] Speed: 60.847019 samples/sec accuracy=3.533482 loss=5.402026 lr=0.012739 Epoch[000] Batch [3549]/[3759] Speed: 59.999328 samples/sec accuracy=3.555458 loss=5.398509 lr=0.012778 Epoch[000] Batch [3599]/[3759] Speed: 60.847527 samples/sec accuracy=3.578125 loss=5.395529 lr=0.012817 Epoch[000] Batch [3649]/[3759] Speed: 60.049709 samples/sec accuracy=3.590325 loss=5.392244 lr=0.012856 Epoch[000] Batch [3699]/[3759] Speed: 60.230822 samples/sec accuracy=3.603041 loss=5.389421 lr=0.012895 Epoch[000] Batch [3749]/[3759] Speed: 65.981453 samples/sec accuracy=3.633333 loss=5.385663 lr=0.012934 Batch [0049]/[0303]: acc-top1=4.718750 acc-top5=13.593750 Batch [0099]/[0303]: acc-top1=4.796875 acc-top5=14.359375 Batch [0149]/[0303]: acc-top1=4.791667 acc-top5=14.572917 Batch [0199]/[0303]: acc-top1=4.898438 acc-top5=15.046875 Batch [0249]/[0303]: acc-top1=5.093750 acc-top5=15.293750 Batch [0299]/[0303]: acc-top1=5.031250 acc-top5=15.244792 [Epoch 000] training: accuracy=3.637104 loss=5.384972 [Epoch 000] speed: 59 samples/sec time cost: 4356.360649 [Epoch 000] validation: acc-top1=5.017533 acc-top5=15.227929 loss=5.189801 Epoch[001] Batch [0049]/[3760] Speed: 40.739561 samples/sec accuracy=4.531250 loss=5.147733 lr=0.012980 Epoch[001] Batch [0099]/[3760] Speed: 59.682318 samples/sec accuracy=5.328125 loss=5.114621 lr=0.013019 Epoch[001] Batch [0149]/[3760] Speed: 60.614502 samples/sec accuracy=5.302083 loss=5.116684 lr=0.013059 Epoch[001] Batch [0199]/[3760] Speed: 60.513585 samples/sec accuracy=5.351562 loss=5.118433 lr=0.013098 Epoch[001] Batch [0249]/[3760] Speed: 60.828977 samples/sec accuracy=5.275000 loss=5.120415 lr=0.013137 Epoch[001] Batch [0299]/[3760] Speed: 60.537445 samples/sec accuracy=5.244792 loss=5.121955 lr=0.013176 Epoch[001] Batch [0349]/[3760] Speed: 60.778064 samples/sec accuracy=5.272321 loss=5.118473 lr=0.013215 Epoch[001] Batch [0399]/[3760] Speed: 60.110757 samples/sec accuracy=5.277344 loss=5.117454 lr=0.013254 Epoch[001] Batch [0449]/[3760] Speed: 60.469826 samples/sec accuracy=5.423611 loss=5.112190 lr=0.013293 Epoch[001] Batch [0499]/[3760] Speed: 60.567948 samples/sec accuracy=5.396875 loss=5.114081 lr=0.013332 Epoch[001] Batch [0549]/[3760] Speed: 60.283900 samples/sec accuracy=5.417614 loss=5.113924 lr=0.013372 Epoch[001] Batch [0599]/[3760] Speed: 60.482968 samples/sec accuracy=5.445312 loss=5.112625 lr=0.013411 Epoch[001] Batch [0649]/[3760] Speed: 60.248009 samples/sec accuracy=5.425481 loss=5.109575 lr=0.013450 Epoch[001] Batch [0699]/[3760] Speed: 60.702710 samples/sec accuracy=5.444196 loss=5.106184 lr=0.013489 Epoch[001] Batch [0749]/[3760] Speed: 60.861777 samples/sec accuracy=5.477083 loss=5.101742 lr=0.013528 Epoch[001] Batch [0799]/[3760] Speed: 60.609800 samples/sec accuracy=5.417969 loss=5.100460 lr=0.013567 Epoch[001] Batch [0849]/[3760] Speed: 60.752342 samples/sec accuracy=5.465074 loss=5.097264 lr=0.013606 Epoch[001] Batch [0899]/[3760] Speed: 60.483346 samples/sec accuracy=5.435764 loss=5.096012 lr=0.013645 Epoch[001] Batch [0949]/[3760] Speed: 60.809649 samples/sec accuracy=5.404605 loss=5.097870 lr=0.013685 Epoch[001] Batch [0999]/[3760] Speed: 60.430437 samples/sec accuracy=5.415625 loss=5.095141 lr=0.013724 Epoch[001] Batch [1049]/[3760] Speed: 60.929098 samples/sec accuracy=5.458333 loss=5.092242 lr=0.013763 Epoch[001] Batch [1099]/[3760] Speed: 60.971278 samples/sec accuracy=5.474432 loss=5.090609 lr=0.013802 Epoch[001] Batch [1149]/[3760] Speed: 60.232908 samples/sec accuracy=5.489130 loss=5.089869 lr=0.013841 Epoch[001] Batch [1199]/[3760] Speed: 60.656049 samples/sec accuracy=5.535156 loss=5.088805 lr=0.013880 Epoch[001] Batch [1249]/[3760] Speed: 60.509862 samples/sec accuracy=5.556250 loss=5.087825 lr=0.013919 Epoch[001] Batch [1299]/[3760] Speed: 60.449785 samples/sec accuracy=5.540865 loss=5.086436 lr=0.013958 Epoch[001] Batch [1349]/[3760] Speed: 60.903739 samples/sec accuracy=5.552083 loss=5.083899 lr=0.013997 Epoch[001] Batch [1399]/[3760] Speed: 60.538985 samples/sec accuracy=5.573661 loss=5.082074 lr=0.014037 Epoch[001] Batch [1449]/[3760] Speed: 60.394238 samples/sec accuracy=5.600216 loss=5.079831 lr=0.014076 Epoch[001] Batch [1499]/[3760] Speed: 60.373563 samples/sec accuracy=5.619792 loss=5.077927 lr=0.014115 Epoch[001] Batch [1549]/[3760] Speed: 60.841377 samples/sec accuracy=5.618952 loss=5.077086 lr=0.014154 Epoch[001] Batch [1599]/[3760] Speed: 60.953948 samples/sec accuracy=5.635742 loss=5.075939 lr=0.014193 Epoch[001] Batch [1649]/[3760] Speed: 60.571861 samples/sec accuracy=5.629735 loss=5.074969 lr=0.014232 Epoch[001] Batch [1699]/[3760] Speed: 60.932608 samples/sec accuracy=5.641544 loss=5.074300 lr=0.014271 Epoch[001] Batch [1749]/[3760] Speed: 60.896236 samples/sec accuracy=5.626786 loss=5.073238 lr=0.014310 Epoch[001] Batch [1799]/[3760] Speed: 60.484850 samples/sec accuracy=5.640625 loss=5.070974 lr=0.014350 Epoch[001] Batch [1849]/[3760] Speed: 60.379952 samples/sec accuracy=5.667230 loss=5.068449 lr=0.014389 Epoch[001] Batch [1899]/[3760] Speed: 60.293425 samples/sec accuracy=5.694901 loss=5.065259 lr=0.014428 Epoch[001] Batch [1949]/[3760] Speed: 60.948569 samples/sec accuracy=5.705128 loss=5.063899 lr=0.014467 Epoch[001] Batch [1999]/[3760] Speed: 60.044899 samples/sec accuracy=5.726562 loss=5.061587 lr=0.014506 Epoch[001] Batch [2049]/[3760] Speed: 60.799946 samples/sec accuracy=5.737043 loss=5.058914 lr=0.014545 Epoch[001] Batch [2099]/[3760] Speed: 60.385399 samples/sec accuracy=5.751488 loss=5.056398 lr=0.014584 Epoch[001] Batch [2149]/[3760] Speed: 61.143722 samples/sec accuracy=5.752180 loss=5.055286 lr=0.014623 Epoch[001] Batch [2199]/[3760] Speed: 60.774422 samples/sec accuracy=5.763494 loss=5.053712 lr=0.014663 Epoch[001] Batch [2249]/[3760] Speed: 61.057045 samples/sec accuracy=5.771528 loss=5.052207 lr=0.014702 Epoch[001] Batch [2299]/[3760] Speed: 61.052846 samples/sec accuracy=5.779212 loss=5.050349 lr=0.014741 Epoch[001] Batch [2349]/[3760] Speed: 60.537911 samples/sec accuracy=5.795213 loss=5.048202 lr=0.014780 Epoch[001] Batch [2399]/[3760] Speed: 60.773195 samples/sec accuracy=5.813802 loss=5.046081 lr=0.014819 Epoch[001] Batch [2449]/[3760] Speed: 60.728933 samples/sec accuracy=5.826531 loss=5.043885 lr=0.014858 Epoch[001] Batch [2499]/[3760] Speed: 60.460565 samples/sec accuracy=5.855625 loss=5.041796 lr=0.014897 Epoch[001] Batch [2549]/[3760] Speed: 61.000763 samples/sec accuracy=5.868260 loss=5.040266 lr=0.014936 Epoch[001] Batch [2599]/[3760] Speed: 60.718092 samples/sec accuracy=5.878005 loss=5.038751 lr=0.014976 Epoch[001] Batch [2649]/[3760] Speed: 60.773029 samples/sec accuracy=5.885613 loss=5.037424 lr=0.015015 Epoch[001] Batch [2699]/[3760] Speed: 60.368265 samples/sec accuracy=5.891782 loss=5.035910 lr=0.015054 Epoch[001] Batch [2749]/[3760] Speed: 60.968066 samples/sec accuracy=5.923864 loss=5.033867 lr=0.015093 Epoch[001] Batch [2799]/[3760] Speed: 60.627754 samples/sec accuracy=5.938058 loss=5.032095 lr=0.015132 Epoch[001] Batch [2849]/[3760] Speed: 60.291357 samples/sec accuracy=5.956140 loss=5.030248 lr=0.015171 Epoch[001] Batch [2899]/[3760] Speed: 60.522165 samples/sec accuracy=5.982759 loss=5.027916 lr=0.015210 Epoch[001] Batch [2949]/[3760] Speed: 60.773445 samples/sec accuracy=6.002119 loss=5.026224 lr=0.015249 Epoch[001] Batch [2999]/[3760] Speed: 60.760892 samples/sec accuracy=6.030729 loss=5.024052 lr=0.015289 Epoch[001] Batch [3049]/[3760] Speed: 60.588672 samples/sec accuracy=6.044570 loss=5.021676 lr=0.015328 Epoch[001] Batch [3099]/[3760] Speed: 60.294997 samples/sec accuracy=6.056452 loss=5.020253 lr=0.015367 Epoch[001] Batch [3149]/[3760] Speed: 60.818710 samples/sec accuracy=6.067956 loss=5.018350 lr=0.015406 Epoch[001] Batch [3199]/[3760] Speed: 60.556209 samples/sec accuracy=6.091309 loss=5.016394 lr=0.015445 Epoch[001] Batch [3249]/[3760] Speed: 60.881512 samples/sec accuracy=6.107212 loss=5.014129 lr=0.015484 Epoch[001] Batch [3299]/[3760] Speed: 60.231592 samples/sec accuracy=6.125000 loss=5.012659 lr=0.015523 Epoch[001] Batch [3349]/[3760] Speed: 60.519014 samples/sec accuracy=6.148321 loss=5.010734 lr=0.015562 Epoch[001] Batch [3399]/[3760] Speed: 60.497242 samples/sec accuracy=6.167739 loss=5.008931 lr=0.015602 Epoch[001] Batch [3449]/[3760] Speed: 60.821387 samples/sec accuracy=6.172101 loss=5.007348 lr=0.015641 Epoch[001] Batch [3499]/[3760] Speed: 60.417809 samples/sec accuracy=6.179018 loss=5.005371 lr=0.015680 Epoch[001] Batch [3549]/[3760] Speed: 60.294204 samples/sec accuracy=6.193662 loss=5.003419 lr=0.015719 Epoch[001] Batch [3599]/[3760] Speed: 61.373985 samples/sec accuracy=6.212674 loss=5.001396 lr=0.015758 Epoch[001] Batch [3649]/[3760] Speed: 60.580631 samples/sec accuracy=6.235445 loss=4.999433 lr=0.015797 Epoch[001] Batch [3699]/[3760] Speed: 60.820762 samples/sec accuracy=6.244932 loss=4.998043 lr=0.015836 Epoch[001] Batch [3749]/[3760] Speed: 65.737134 samples/sec accuracy=6.262917 loss=4.996003 lr=0.015875 Batch [0049]/[0303]: acc-top1=7.281250 acc-top5=19.750000 Batch [0099]/[0303]: acc-top1=7.359375 acc-top5=20.546875 Batch [0149]/[0303]: acc-top1=7.531250 acc-top5=20.822917 Batch [0199]/[0303]: acc-top1=7.726562 acc-top5=21.296875 Batch [0249]/[0303]: acc-top1=7.812500 acc-top5=21.431250 Batch [0299]/[0303]: acc-top1=7.760417 acc-top5=21.406250 [Epoch 001] training: accuracy=6.262882 loss=4.995587 [Epoch 001] speed: 60 samples/sec time cost: 4300.800843 [Epoch 001] validation: acc-top1=7.755776 acc-top5=21.374794 loss=4.895190 Epoch[002] Batch [0049]/[3759] Speed: 40.731154 samples/sec accuracy=7.281250 loss=4.844034 lr=0.015922 Epoch[002] Batch [0099]/[3759] Speed: 60.213957 samples/sec accuracy=7.640625 loss=4.830761 lr=0.015961 Epoch[002] Batch [0149]/[3759] Speed: 60.166513 samples/sec accuracy=7.614583 loss=4.843872 lr=0.016001 Epoch[002] Batch [0199]/[3759] Speed: 60.407448 samples/sec accuracy=7.765625 loss=4.832119 lr=0.016040 Epoch[002] Batch [0249]/[3759] Speed: 60.535425 samples/sec accuracy=7.731250 loss=4.834447 lr=0.016079 Epoch[002] Batch [0299]/[3759] Speed: 60.396038 samples/sec accuracy=7.713542 loss=4.838016 lr=0.016118 Epoch[002] Batch [0349]/[3759] Speed: 60.387611 samples/sec accuracy=7.687500 loss=4.838828 lr=0.016157 Epoch[002] Batch [0399]/[3759] Speed: 60.448246 samples/sec accuracy=7.667969 loss=4.837336 lr=0.016196 Epoch[002] Batch [0449]/[3759] Speed: 60.637255 samples/sec accuracy=7.638889 loss=4.839968 lr=0.016235 Epoch[002] Batch [0499]/[3759] Speed: 60.728332 samples/sec accuracy=7.606250 loss=4.841695 lr=0.016274 Epoch[002] Batch [0549]/[3759] Speed: 60.683641 samples/sec accuracy=7.585227 loss=4.839549 lr=0.016314 Epoch[002] Batch [0599]/[3759] Speed: 60.797620 samples/sec accuracy=7.588542 loss=4.839424 lr=0.016353 Epoch[002] Batch [0649]/[3759] Speed: 61.019981 samples/sec accuracy=7.615385 loss=4.837263 lr=0.016392 Epoch[002] Batch [0699]/[3759] Speed: 60.070648 samples/sec accuracy=7.616071 loss=4.837244 lr=0.016431 Epoch[002] Batch [0749]/[3759] Speed: 61.184050 samples/sec accuracy=7.685417 loss=4.833667 lr=0.016470 Epoch[002] Batch [0799]/[3759] Speed: 60.065155 samples/sec accuracy=7.708984 loss=4.831591 lr=0.016509 Epoch[002] Batch [0849]/[3759] Speed: 61.121799 samples/sec accuracy=7.716912 loss=4.830961 lr=0.016548 Epoch[002] Batch [0899]/[3759] Speed: 60.498276 samples/sec accuracy=7.704861 loss=4.829562 lr=0.016587 Epoch[002] Batch [0949]/[3759] Speed: 60.809013 samples/sec accuracy=7.712171 loss=4.825949 lr=0.016627 Epoch[002] Batch [0999]/[3759] Speed: 60.609320 samples/sec accuracy=7.731250 loss=4.824577 lr=0.016666 Epoch[002] Batch [1049]/[3759] Speed: 60.924147 samples/sec accuracy=7.733631 loss=4.823997 lr=0.016705 Epoch[002] Batch [1099]/[3759] Speed: 60.149722 samples/sec accuracy=7.761364 loss=4.822889 lr=0.016744 Epoch[002] Batch [1149]/[3759] Speed: 60.739578 samples/sec accuracy=7.750000 loss=4.821895 lr=0.016783 Epoch[002] Batch [1199]/[3759] Speed: 60.383504 samples/sec accuracy=7.718750 loss=4.821675 lr=0.016822 Epoch[002] Batch [1249]/[3759] Speed: 60.514280 samples/sec accuracy=7.727500 loss=4.819364 lr=0.016861 Epoch[002] Batch [1299]/[3759] Speed: 60.399792 samples/sec accuracy=7.706731 loss=4.819105 lr=0.016900 Epoch[002] Batch [1349]/[3759] Speed: 60.899829 samples/sec accuracy=7.754630 loss=4.817580 lr=0.016939 Epoch[002] Batch [1399]/[3759] Speed: 60.582426 samples/sec accuracy=7.756696 loss=4.816273 lr=0.016979 Epoch[002] Batch [1449]/[3759] Speed: 60.383066 samples/sec accuracy=7.753233 loss=4.815624 lr=0.017018 Epoch[002] Batch [1499]/[3759] Speed: 60.321212 samples/sec accuracy=7.757292 loss=4.815073 lr=0.017057 Epoch[002] Batch [1549]/[3759] Speed: 60.527666 samples/sec accuracy=7.773185 loss=4.811770 lr=0.017096 Epoch[002] Batch [1599]/[3759] Speed: 60.615518 samples/sec accuracy=7.772461 loss=4.808681 lr=0.017135 Epoch[002] Batch [1649]/[3759] Speed: 60.678117 samples/sec accuracy=7.779356 loss=4.807837 lr=0.017174 Epoch[002] Batch [1699]/[3759] Speed: 60.851615 samples/sec accuracy=7.795956 loss=4.806222 lr=0.017213 Epoch[002] Batch [1749]/[3759] Speed: 60.534310 samples/sec accuracy=7.825893 loss=4.804163 lr=0.017252 Epoch[002] Batch [1799]/[3759] Speed: 60.663552 samples/sec accuracy=7.848090 loss=4.802873 lr=0.017292 Epoch[002] Batch [1849]/[3759] Speed: 59.769140 samples/sec accuracy=7.875845 loss=4.800405 lr=0.017331 Epoch[002] Batch [1899]/[3759] Speed: 61.183285 samples/sec accuracy=7.903783 loss=4.799464 lr=0.017370 Epoch[002] Batch [1949]/[3759] Speed: 60.282288 samples/sec accuracy=7.925481 loss=4.797305 lr=0.017409 Epoch[002] Batch [1999]/[3759] Speed: 60.708730 samples/sec accuracy=7.946094 loss=4.795371 lr=0.017448 Epoch[002] Batch [2049]/[3759] Speed: 60.113732 samples/sec accuracy=7.958841 loss=4.793290 lr=0.017487 Epoch[002] Batch [2099]/[3759] Speed: 60.520614 samples/sec accuracy=7.954613 loss=4.792855 lr=0.017526 Epoch[002] Batch [2149]/[3759] Speed: 60.389931 samples/sec accuracy=7.986919 loss=4.791051 lr=0.017565 Epoch[002] Batch [2199]/[3759] Speed: 60.539364 samples/sec accuracy=7.990057 loss=4.789534 lr=0.017605 Epoch[002] Batch [2249]/[3759] Speed: 60.928350 samples/sec accuracy=8.016667 loss=4.787517 lr=0.017644 Epoch[002] Batch [2299]/[3759] Speed: 60.418046 samples/sec accuracy=8.045516 loss=4.785748 lr=0.017683 Epoch[002] Batch [2349]/[3759] Speed: 60.464506 samples/sec accuracy=8.049867 loss=4.784157 lr=0.017722 Epoch[002] Batch [2399]/[3759] Speed: 60.647546 samples/sec accuracy=8.080729 loss=4.782418 lr=0.017761 Epoch[002] Batch [2449]/[3759] Speed: 60.634108 samples/sec accuracy=8.109056 loss=4.780639 lr=0.017800 Epoch[002] Batch [2499]/[3759] Speed: 60.327337 samples/sec accuracy=8.124375 loss=4.778264 lr=0.017839 Epoch[002] Batch [2549]/[3759] Speed: 60.548118 samples/sec accuracy=8.143995 loss=4.776969 lr=0.017878 Epoch[002] Batch [2599]/[3759] Speed: 60.468082 samples/sec accuracy=8.175481 loss=4.775309 lr=0.017918 Epoch[002] Batch [2649]/[3759] Speed: 60.033853 samples/sec accuracy=8.196344 loss=4.773983 lr=0.017957 Epoch[002] Batch [2699]/[3759] Speed: 60.709644 samples/sec accuracy=8.219907 loss=4.771503 lr=0.017996 Epoch[002] Batch [2749]/[3759] Speed: 60.386008 samples/sec accuracy=8.236364 loss=4.769238 lr=0.018035 Epoch[002] Batch [2799]/[3759] Speed: 60.046531 samples/sec accuracy=8.258929 loss=4.766802 lr=0.018074 Epoch[002] Batch [2849]/[3759] Speed: 60.895127 samples/sec accuracy=8.288925 loss=4.764566 lr=0.018113 Epoch[002] Batch [2899]/[3759] Speed: 59.964646 samples/sec accuracy=8.294181 loss=4.762792 lr=0.018152 Epoch[002] Batch [2949]/[3759] Speed: 60.714690 samples/sec accuracy=8.318326 loss=4.761508 lr=0.018191 Epoch[002] Batch [2999]/[3759] Speed: 59.916234 samples/sec accuracy=8.331771 loss=4.760102 lr=0.018231 Epoch[002] Batch [3049]/[3759] Speed: 60.859058 samples/sec accuracy=8.347336 loss=4.758524 lr=0.018270 Epoch[002] Batch [3099]/[3759] Speed: 60.261821 samples/sec accuracy=8.356351 loss=4.756651 lr=0.018309 Epoch[002] Batch [3149]/[3759] Speed: 60.599737 samples/sec accuracy=8.364087 loss=4.755358 lr=0.018348 Epoch[002] Batch [3199]/[3759] Speed: 60.220053 samples/sec accuracy=8.381348 loss=4.753754 lr=0.018387 Epoch[002] Batch [3249]/[3759] Speed: 60.150526 samples/sec accuracy=8.387981 loss=4.752519 lr=0.018426 Epoch[002] Batch [3299]/[3759] Speed: 60.666796 samples/sec accuracy=8.423769 loss=4.750691 lr=0.018465 Epoch[002] Batch [3349]/[3759] Speed: 60.316211 samples/sec accuracy=8.439832 loss=4.748779 lr=0.018504 Epoch[002] Batch [3399]/[3759] Speed: 60.474762 samples/sec accuracy=8.463695 loss=4.747025 lr=0.018543 Epoch[002] Batch [3449]/[3759] Speed: 60.540860 samples/sec accuracy=8.485507 loss=4.746110 lr=0.018583 Epoch[002] Batch [3499]/[3759] Speed: 60.477021 samples/sec accuracy=8.497321 loss=4.744586 lr=0.018622 Epoch[002] Batch [3549]/[3759] Speed: 60.384813 samples/sec accuracy=8.510563 loss=4.743000 lr=0.018661 Epoch[002] Batch [3599]/[3759] Speed: 60.451624 samples/sec accuracy=8.545139 loss=4.740909 lr=0.018700 Epoch[002] Batch [3649]/[3759] Speed: 61.164851 samples/sec accuracy=8.577055 loss=4.739211 lr=0.018739 Epoch[002] Batch [3699]/[3759] Speed: 60.111152 samples/sec accuracy=8.587838 loss=4.737969 lr=0.018778 Epoch[002] Batch [3749]/[3759] Speed: 66.373851 samples/sec accuracy=8.605417 loss=4.736665 lr=0.018817 Batch [0049]/[0303]: acc-top1=9.406250 acc-top5=25.343750 Batch [0099]/[0303]: acc-top1=9.109375 acc-top5=25.359375 Batch [0149]/[0303]: acc-top1=9.322917 acc-top5=25.708333 Batch [0199]/[0303]: acc-top1=9.453125 acc-top5=26.156250 Batch [0249]/[0303]: acc-top1=9.543750 acc-top5=26.275000 Batch [0299]/[0303]: acc-top1=9.630208 acc-top5=26.338542 [Epoch 002] training: accuracy=8.611416 loss=4.736338 [Epoch 002] speed: 60 samples/sec time cost: 4306.022457 [Epoch 002] validation: acc-top1=9.612211 acc-top5=26.284035 loss=4.645061 Epoch[003] Batch [0049]/[3760] Speed: 41.048937 samples/sec accuracy=9.593750 loss=4.585074 lr=0.018864 Epoch[003] Batch [0099]/[3760] Speed: 58.845756 samples/sec accuracy=9.531250 loss=4.585948 lr=0.018903 Epoch[003] Batch [0149]/[3760] Speed: 60.394379 samples/sec accuracy=9.468750 loss=4.591453 lr=0.018942 Epoch[003] Batch [0199]/[3760] Speed: 60.086592 samples/sec accuracy=9.390625 loss=4.606143 lr=0.018981 Epoch[003] Batch [0249]/[3760] Speed: 60.808205 samples/sec accuracy=9.618750 loss=4.603296 lr=0.019020 Epoch[003] Batch [0299]/[3760] Speed: 60.266344 samples/sec accuracy=9.609375 loss=4.598639 lr=0.019059 Epoch[003] Batch [0349]/[3760] Speed: 60.361293 samples/sec accuracy=9.691964 loss=4.594904 lr=0.019098 Epoch[003] Batch [0399]/[3760] Speed: 60.379057 samples/sec accuracy=9.742188 loss=4.596566 lr=0.019137 Epoch[003] Batch [0449]/[3760] Speed: 60.484872 samples/sec accuracy=9.760417 loss=4.594125 lr=0.019176 Epoch[003] Batch [0499]/[3760] Speed: 60.454222 samples/sec accuracy=9.815625 loss=4.592970 lr=0.019216 Epoch[003] Batch [0549]/[3760] Speed: 60.625915 samples/sec accuracy=9.900568 loss=4.586604 lr=0.019255 Epoch[003] Batch [0599]/[3760] Speed: 60.391586 samples/sec accuracy=9.914062 loss=4.585752 lr=0.019294 Epoch[003] Batch [0649]/[3760] Speed: 60.312891 samples/sec accuracy=9.990385 loss=4.583120 lr=0.019333 Epoch[003] Batch [0699]/[3760] Speed: 60.369178 samples/sec accuracy=10.071429 loss=4.579462 lr=0.019372 Epoch[003] Batch [0749]/[3760] Speed: 60.591070 samples/sec accuracy=10.027083 loss=4.578931 lr=0.019411 Epoch[003] Batch [0799]/[3760] Speed: 60.321388 samples/sec accuracy=10.058594 loss=4.577117 lr=0.019450 Epoch[003] Batch [0849]/[3760] Speed: 60.325106 samples/sec accuracy=10.097426 loss=4.574435 lr=0.019489 Epoch[003] Batch [0899]/[3760] Speed: 60.126170 samples/sec accuracy=10.078125 loss=4.573904 lr=0.019529 Epoch[003] Batch [0949]/[3760] Speed: 60.266066 samples/sec accuracy=10.128289 loss=4.570140 lr=0.019568 Epoch[003] Batch [0999]/[3760] Speed: 60.667220 samples/sec accuracy=10.117188 loss=4.568694 lr=0.019607 Epoch[003] Batch [1049]/[3760] Speed: 60.421773 samples/sec accuracy=10.135417 loss=4.566578 lr=0.019646 Epoch[003] Batch [1099]/[3760] Speed: 60.476616 samples/sec accuracy=10.154830 loss=4.565418 lr=0.019685 Epoch[003] Batch [1149]/[3760] Speed: 60.450974 samples/sec accuracy=10.205163 loss=4.561966 lr=0.019724 Epoch[003] Batch [1199]/[3760] Speed: 60.618740 samples/sec accuracy=10.234375 loss=4.561660 lr=0.019763 Epoch[003] Batch [1249]/[3760] Speed: 60.335015 samples/sec accuracy=10.206250 loss=4.561769 lr=0.019802 Epoch[003] Batch [1299]/[3760] Speed: 60.272866 samples/sec accuracy=10.175481 loss=4.561649 lr=0.019842 Epoch[003] Batch [1349]/[3760] Speed: 60.247100 samples/sec accuracy=10.195602 loss=4.561948 lr=0.019881 Epoch[003] Batch [1399]/[3760] Speed: 60.634796 samples/sec accuracy=10.210938 loss=4.560318 lr=0.019920 Epoch[003] Batch [1449]/[3760] Speed: 60.996323 samples/sec accuracy=10.244612 loss=4.558427 lr=0.019959 Epoch[003] Batch [1499]/[3760] Speed: 60.232139 samples/sec accuracy=10.296875 loss=4.556654 lr=0.019998 Epoch[003] Batch [1549]/[3760] Speed: 60.541707 samples/sec accuracy=10.316532 loss=4.556454 lr=0.020037 Epoch[003] Batch [1599]/[3760] Speed: 60.377303 samples/sec accuracy=10.349609 loss=4.553400 lr=0.020076 Epoch[003] Batch [1649]/[3760] Speed: 60.674274 samples/sec accuracy=10.358902 loss=4.552254 lr=0.020115 Epoch[003] Batch [1699]/[3760] Speed: 60.353540 samples/sec accuracy=10.389706 loss=4.552119 lr=0.020155 Epoch[003] Batch [1749]/[3760] Speed: 60.162759 samples/sec accuracy=10.400000 loss=4.550934 lr=0.020194 Epoch[003] Batch [1799]/[3760] Speed: 61.133349 samples/sec accuracy=10.453993 loss=4.547906 lr=0.020233 Epoch[003] Batch [1849]/[3760] Speed: 60.386305 samples/sec accuracy=10.458615 loss=4.547060 lr=0.020272 Epoch[003] Batch [1899]/[3760] Speed: 60.081921 samples/sec accuracy=10.484375 loss=4.544867 lr=0.020311 Epoch[003] Batch [1949]/[3760] Speed: 60.805821 samples/sec accuracy=10.492788 loss=4.543179 lr=0.020350 Epoch[003] Batch [1999]/[3760] Speed: 60.013712 samples/sec accuracy=10.504687 loss=4.542018 lr=0.020389 Epoch[003] Batch [2049]/[3760] Speed: 60.754806 samples/sec accuracy=10.506860 loss=4.540826 lr=0.020428 Epoch[003] Batch [2099]/[3760] Speed: 59.674747 samples/sec accuracy=10.542411 loss=4.538662 lr=0.020468 Epoch[003] Batch [2149]/[3760] Speed: 61.013319 samples/sec accuracy=10.559593 loss=4.537825 lr=0.020507 Epoch[003] Batch [2199]/[3760] Speed: 60.145036 samples/sec accuracy=10.583097 loss=4.536180 lr=0.020546 Epoch[003] Batch [2249]/[3760] Speed: 60.459592 samples/sec accuracy=10.577083 loss=4.535235 lr=0.020585 Epoch[003] Batch [2299]/[3760] Speed: 60.156904 samples/sec accuracy=10.597826 loss=4.533418 lr=0.020624 Epoch[003] Batch [2349]/[3760] Speed: 59.838583 samples/sec accuracy=10.615691 loss=4.531735 lr=0.020663 Epoch[003] Batch [2399]/[3760] Speed: 60.605116 samples/sec accuracy=10.632812 loss=4.530544 lr=0.020702 Epoch[003] Batch [2449]/[3760] Speed: 60.265324 samples/sec accuracy=10.645408 loss=4.529375 lr=0.020741 Epoch[003] Batch [2499]/[3760] Speed: 60.415505 samples/sec accuracy=10.663125 loss=4.527504 lr=0.020780 Epoch[003] Batch [2549]/[3760] Speed: 60.355444 samples/sec accuracy=10.697917 loss=4.525582 lr=0.020820 Epoch[003] Batch [2599]/[3760] Speed: 60.729418 samples/sec accuracy=10.709135 loss=4.523719 lr=0.020859 Epoch[003] Batch [2649]/[3760] Speed: 60.149908 samples/sec accuracy=10.734670 loss=4.521737 lr=0.020898 Epoch[003] Batch [2699]/[3760] Speed: 60.349633 samples/sec accuracy=10.757523 loss=4.519792 lr=0.020937 Epoch[003] Batch [2749]/[3760] Speed: 60.958857 samples/sec accuracy=10.784659 loss=4.517814 lr=0.020976 Epoch[003] Batch [2799]/[3760] Speed: 60.018633 samples/sec accuracy=10.786830 loss=4.516523 lr=0.021015 Epoch[003] Batch [2849]/[3760] Speed: 60.645197 samples/sec accuracy=10.798794 loss=4.514502 lr=0.021054 Epoch[003] Batch [2899]/[3760] Speed: 60.258938 samples/sec accuracy=10.811961 loss=4.512890 lr=0.021093 Epoch[003] Batch [2949]/[3760] Speed: 60.455143 samples/sec accuracy=10.808792 loss=4.512584 lr=0.021133 Epoch[003] Batch [2999]/[3760] Speed: 60.333793 samples/sec accuracy=10.819792 loss=4.511607 lr=0.021172 Epoch[003] Batch [3049]/[3760] Speed: 60.637027 samples/sec accuracy=10.838115 loss=4.510077 lr=0.021211 Epoch[003] Batch [3099]/[3760] Speed: 60.379675 samples/sec accuracy=10.846270 loss=4.509225 lr=0.021250 Epoch[003] Batch [3149]/[3760] Speed: 60.329632 samples/sec accuracy=10.880456 loss=4.506911 lr=0.021289 Epoch[003] Batch [3199]/[3760] Speed: 60.599251 samples/sec accuracy=10.905762 loss=4.505438 lr=0.021328 Epoch[003] Batch [3249]/[3760] Speed: 60.278892 samples/sec accuracy=10.907692 loss=4.503954 lr=0.021367 Epoch[003] Batch [3299]/[3760] Speed: 60.322097 samples/sec accuracy=10.930398 loss=4.502868 lr=0.021406 Epoch[003] Batch [3349]/[3760] Speed: 60.735718 samples/sec accuracy=10.953358 loss=4.501283 lr=0.021446 Epoch[003] Batch [3399]/[3760] Speed: 60.367666 samples/sec accuracy=10.965993 loss=4.499949 lr=0.021485 Epoch[003] Batch [3449]/[3760] Speed: 60.764731 samples/sec accuracy=10.983696 loss=4.498324 lr=0.021524 Epoch[003] Batch [3499]/[3760] Speed: 60.512340 samples/sec accuracy=11.019196 loss=4.496556 lr=0.021563 Epoch[003] Batch [3549]/[3760] Speed: 60.451062 samples/sec accuracy=11.033891 loss=4.494714 lr=0.021602 Epoch[003] Batch [3599]/[3760] Speed: 60.457719 samples/sec accuracy=11.048611 loss=4.493825 lr=0.021641 Epoch[003] Batch [3649]/[3760] Speed: 60.283270 samples/sec accuracy=11.067637 loss=4.492047 lr=0.021680 Epoch[003] Batch [3699]/[3760] Speed: 60.884553 samples/sec accuracy=11.076014 loss=4.491134 lr=0.021719 Epoch[003] Batch [3749]/[3760] Speed: 65.032417 samples/sec accuracy=11.098333 loss=4.488933 lr=0.021759 Batch [0049]/[0303]: acc-top1=10.750000 acc-top5=29.218750 Batch [0099]/[0303]: acc-top1=10.953125 acc-top5=30.078125 Batch [0149]/[0303]: acc-top1=11.041667 acc-top5=30.083333 Batch [0199]/[0303]: acc-top1=11.242188 acc-top5=30.148438 Batch [0249]/[0303]: acc-top1=11.443750 acc-top5=29.950000 Batch [0299]/[0303]: acc-top1=11.458333 acc-top5=30.026042 [Epoch 003] training: accuracy=11.103723 loss=4.488410 [Epoch 003] speed: 60 samples/sec time cost: 4313.515445 [Epoch 003] validation: acc-top1=11.453177 acc-top5=29.981436 loss=4.496004 Epoch[004] Batch [0049]/[3760] Speed: 40.403175 samples/sec accuracy=13.437500 loss=4.334011 lr=0.021805 Epoch[004] Batch [0099]/[3760] Speed: 58.993216 samples/sec accuracy=13.296875 loss=4.314424 lr=0.021845 Epoch[004] Batch [0149]/[3760] Speed: 60.132915 samples/sec accuracy=13.093750 loss=4.327445 lr=0.021884 Epoch[004] Batch [0199]/[3760] Speed: 60.004827 samples/sec accuracy=13.250000 loss=4.336478 lr=0.021923 Epoch[004] Batch 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accuracy=12.785714 loss=4.337478 lr=0.022314 Epoch[004] Batch [0749]/[3760] Speed: 60.876646 samples/sec accuracy=12.737500 loss=4.340616 lr=0.022353 Epoch[004] Batch [0799]/[3760] Speed: 60.277836 samples/sec accuracy=12.787109 loss=4.338783 lr=0.022392 Epoch[004] Batch [0849]/[3760] Speed: 60.290407 samples/sec accuracy=12.851103 loss=4.335005 lr=0.022431 Epoch[004] Batch [0899]/[3760] Speed: 60.175931 samples/sec accuracy=12.842014 loss=4.334109 lr=0.022471 Epoch[004] Batch [0949]/[3760] Speed: 60.829999 samples/sec accuracy=12.884868 loss=4.331159 lr=0.022510 Epoch[004] Batch [0999]/[3760] Speed: 60.606574 samples/sec accuracy=12.925000 loss=4.328073 lr=0.022549 Epoch[004] Batch [1049]/[3760] Speed: 60.552542 samples/sec accuracy=12.955357 loss=4.325998 lr=0.022588 Epoch[004] Batch [1099]/[3760] Speed: 60.686139 samples/sec accuracy=12.991477 loss=4.324362 lr=0.022627 Epoch[004] Batch [1149]/[3760] Speed: 60.570163 samples/sec accuracy=12.979620 loss=4.324073 lr=0.022666 Epoch[004] 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accuracy=13.267045 loss=4.304066 lr=0.023057 Epoch[004] Batch [1699]/[3760] Speed: 60.469902 samples/sec accuracy=13.286765 loss=4.302086 lr=0.023097 Epoch[004] Batch [1749]/[3760] Speed: 60.617285 samples/sec accuracy=13.316964 loss=4.300804 lr=0.023136 Epoch[004] Batch [1799]/[3760] Speed: 60.343509 samples/sec accuracy=13.351562 loss=4.298356 lr=0.023175 Epoch[004] Batch [1849]/[3760] Speed: 60.403606 samples/sec accuracy=13.345439 loss=4.298123 lr=0.023214 Epoch[004] Batch [1899]/[3760] Speed: 60.639910 samples/sec accuracy=13.399671 loss=4.296638 lr=0.023253 Epoch[004] Batch [1949]/[3760] Speed: 60.307865 samples/sec accuracy=13.400641 loss=4.295009 lr=0.023292 Epoch[004] Batch [1999]/[3760] Speed: 60.590057 samples/sec accuracy=13.396875 loss=4.294093 lr=0.023331 Epoch[004] Batch [2049]/[3760] Speed: 59.927359 samples/sec accuracy=13.363567 loss=4.294023 lr=0.023370 Epoch[004] Batch [2099]/[3760] Speed: 61.153675 samples/sec accuracy=13.366815 loss=4.293377 lr=0.023409 Epoch[004] 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accuracy=13.581731 loss=4.278753 lr=0.023801 Epoch[004] Batch [2649]/[3760] Speed: 61.004498 samples/sec accuracy=13.607311 loss=4.276451 lr=0.023840 Epoch[004] Batch [2699]/[3760] Speed: 59.974453 samples/sec accuracy=13.651042 loss=4.274275 lr=0.023879 Epoch[004] Batch [2749]/[3760] Speed: 60.327992 samples/sec accuracy=13.659659 loss=4.272622 lr=0.023918 Epoch[004] Batch [2799]/[3760] Speed: 60.636743 samples/sec accuracy=13.682478 loss=4.270578 lr=0.023957 Epoch[004] Batch [2849]/[3760] Speed: 60.287354 samples/sec accuracy=13.707237 loss=4.269187 lr=0.023996 Epoch[004] Batch [2899]/[3760] Speed: 60.489711 samples/sec accuracy=13.735453 loss=4.267558 lr=0.024035 Epoch[004] Batch [2949]/[3760] Speed: 60.256704 samples/sec accuracy=13.764301 loss=4.265703 lr=0.024075 Epoch[004] Batch [2999]/[3760] Speed: 60.790443 samples/sec accuracy=13.770313 loss=4.264903 lr=0.024114 Epoch[004] Batch [3049]/[3760] Speed: 60.215253 samples/sec accuracy=13.810963 loss=4.263113 lr=0.024153 Epoch[004] 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accuracy=14.013644 loss=4.245429 lr=0.024544 Epoch[004] Batch [3599]/[3760] Speed: 60.208533 samples/sec accuracy=14.038628 loss=4.243541 lr=0.024583 Epoch[004] Batch [3649]/[3760] Speed: 60.753587 samples/sec accuracy=14.078767 loss=4.241248 lr=0.024622 Epoch[004] Batch [3699]/[3760] Speed: 60.708940 samples/sec accuracy=14.089527 loss=4.239915 lr=0.024661 Epoch[004] Batch [3749]/[3760] Speed: 65.931811 samples/sec accuracy=14.110833 loss=4.237799 lr=0.024701 Batch [0049]/[0303]: acc-top1=14.093750 acc-top5=35.156250 Batch [0099]/[0303]: acc-top1=14.812500 acc-top5=35.906250 Batch [0149]/[0303]: acc-top1=15.166667 acc-top5=36.104167 Batch [0199]/[0303]: acc-top1=15.265625 acc-top5=36.046875 Batch [0249]/[0303]: acc-top1=15.350000 acc-top5=36.143750 Batch [0299]/[0303]: acc-top1=15.489583 acc-top5=36.505208 [Epoch 004] training: accuracy=14.111536 loss=4.237692 [Epoch 004] speed: 60 samples/sec time cost: 4313.735147 [Epoch 004] validation: acc-top1=15.480611 acc-top5=36.484117 loss=4.143072 Epoch[005] Batch [0049]/[3759] Speed: 40.182502 samples/sec accuracy=15.750000 loss=4.096218 lr=0.024747 Epoch[005] Batch [0099]/[3759] Speed: 58.997315 samples/sec accuracy=16.234375 loss=4.082188 lr=0.024787 Epoch[005] Batch [0149]/[3759] Speed: 60.395735 samples/sec accuracy=16.302083 loss=4.072323 lr=0.024826 Epoch[005] Batch [0199]/[3759] Speed: 60.287676 samples/sec accuracy=16.515625 loss=4.074287 lr=0.024865 Epoch[005] Batch [0249]/[3759] Speed: 60.585216 samples/sec accuracy=16.481250 loss=4.070728 lr=0.024904 Epoch[005] Batch [0299]/[3759] Speed: 60.518747 samples/sec accuracy=16.572917 loss=4.062387 lr=0.024943 Epoch[005] Batch [0349]/[3759] Speed: 60.465632 samples/sec accuracy=16.540179 loss=4.063275 lr=0.024982 Epoch[005] Batch [0399]/[3759] Speed: 60.678915 samples/sec accuracy=16.605469 loss=4.054131 lr=0.025021 Epoch[005] Batch [0449]/[3759] Speed: 60.463749 samples/sec accuracy=16.687500 loss=4.050833 lr=0.025060 Epoch[005] Batch [0499]/[3759] Speed: 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lr=0.026195 Epoch[005] Batch [1949]/[3759] Speed: 59.874259 samples/sec accuracy=16.862179 loss=4.022832 lr=0.026234 Epoch[005] Batch [1999]/[3759] Speed: 60.234045 samples/sec accuracy=16.910156 loss=4.019860 lr=0.026273 Epoch[005] Batch [2049]/[3759] Speed: 60.284474 samples/sec accuracy=16.931402 loss=4.018489 lr=0.026312 Epoch[005] Batch [2099]/[3759] Speed: 60.544238 samples/sec accuracy=16.961310 loss=4.017584 lr=0.026351 Epoch[005] Batch [2149]/[3759] Speed: 60.191053 samples/sec accuracy=16.941134 loss=4.017730 lr=0.026391 Epoch[005] Batch [2199]/[3759] Speed: 60.692139 samples/sec accuracy=16.971591 loss=4.016206 lr=0.026430 Epoch[005] Batch [2249]/[3759] Speed: 60.624022 samples/sec accuracy=16.990278 loss=4.013657 lr=0.026469 Epoch[005] Batch [2299]/[3759] Speed: 59.720181 samples/sec accuracy=16.966712 loss=4.014600 lr=0.026508 Epoch[005] Batch [2349]/[3759] Speed: 60.889122 samples/sec accuracy=16.988032 loss=4.012322 lr=0.026547 Epoch[005] Batch [2399]/[3759] Speed: 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lr=0.026938 Epoch[005] Batch [2899]/[3759] Speed: 60.830447 samples/sec accuracy=17.158944 loss=3.997770 lr=0.026977 Epoch[005] Batch [2949]/[3759] Speed: 60.443659 samples/sec accuracy=17.181144 loss=3.997007 lr=0.027017 Epoch[005] Batch [2999]/[3759] Speed: 60.581163 samples/sec accuracy=17.191146 loss=3.995359 lr=0.027056 Epoch[005] Batch [3049]/[3759] Speed: 60.149201 samples/sec accuracy=17.207992 loss=3.993562 lr=0.027095 Epoch[005] Batch [3099]/[3759] Speed: 60.559565 samples/sec accuracy=17.199093 loss=3.991992 lr=0.027134 Epoch[005] Batch [3149]/[3759] Speed: 60.508495 samples/sec accuracy=17.204861 loss=3.990907 lr=0.027173 Epoch[005] Batch [3199]/[3759] Speed: 60.760382 samples/sec accuracy=17.219727 loss=3.989907 lr=0.027212 Epoch[005] Batch [3249]/[3759] Speed: 60.400018 samples/sec accuracy=17.237019 loss=3.989291 lr=0.027251 Epoch[005] Batch [3299]/[3759] Speed: 60.468711 samples/sec accuracy=17.266098 loss=3.987715 lr=0.027290 Epoch[005] Batch [3349]/[3759] Speed: 60.705660 samples/sec accuracy=17.298041 loss=3.984959 lr=0.027330 Epoch[005] Batch [3399]/[3759] Speed: 60.682492 samples/sec accuracy=17.307904 loss=3.983806 lr=0.027369 Epoch[005] Batch [3449]/[3759] Speed: 60.342315 samples/sec accuracy=17.312953 loss=3.982405 lr=0.027408 Epoch[005] Batch [3499]/[3759] Speed: 60.672880 samples/sec accuracy=17.323214 loss=3.981144 lr=0.027447 Epoch[005] Batch [3549]/[3759] Speed: 60.514715 samples/sec accuracy=17.335387 loss=3.981013 lr=0.027486 Epoch[005] Batch [3599]/[3759] Speed: 60.505557 samples/sec accuracy=17.350260 loss=3.979004 lr=0.027525 Epoch[005] Batch [3649]/[3759] Speed: 60.279510 samples/sec accuracy=17.382277 loss=3.977223 lr=0.027564 Epoch[005] Batch [3699]/[3759] Speed: 60.548081 samples/sec accuracy=17.395693 loss=3.975284 lr=0.027603 Epoch[005] Batch [3749]/[3759] Speed: 66.426161 samples/sec accuracy=17.400000 loss=3.974636 lr=0.027643 Batch [0049]/[0303]: acc-top1=16.625000 acc-top5=40.250000 Batch [0099]/[0303]: acc-top1=17.390625 acc-top5=40.296875 Batch [0149]/[0303]: acc-top1=17.854167 acc-top5=40.593750 Batch [0199]/[0303]: acc-top1=18.070312 acc-top5=40.562500 Batch [0249]/[0303]: acc-top1=18.025000 acc-top5=40.643750 Batch [0299]/[0303]: acc-top1=18.062500 acc-top5=40.885417 [Epoch 005] training: accuracy=17.402817 loss=3.974391 [Epoch 005] speed: 60 samples/sec time cost: 4312.717769 [Epoch 005] validation: acc-top1=18.022896 acc-top5=40.857054 loss=4.079217 Epoch[006] Batch [0049]/[3760] Speed: 40.282956 samples/sec accuracy=18.718750 loss=3.826700 lr=0.027689 Epoch[006] Batch [0099]/[3760] Speed: 59.636255 samples/sec accuracy=19.843750 loss=3.811341 lr=0.027728 Epoch[006] Batch [0149]/[3760] Speed: 60.634341 samples/sec accuracy=19.604167 loss=3.818542 lr=0.027767 Epoch[006] Batch [0199]/[3760] Speed: 59.814086 samples/sec accuracy=19.578125 loss=3.823673 lr=0.027806 Epoch[006] Batch [0249]/[3760] Speed: 60.953055 samples/sec accuracy=19.487500 loss=3.833532 lr=0.027845 Epoch[006] 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accuracy=19.454167 loss=3.824243 lr=0.028236 Epoch[006] Batch [0799]/[3760] Speed: 60.506292 samples/sec accuracy=19.419922 loss=3.824921 lr=0.028275 Epoch[006] Batch [0849]/[3760] Speed: 60.849726 samples/sec accuracy=19.448529 loss=3.823223 lr=0.028315 Epoch[006] Batch [0899]/[3760] Speed: 60.150377 samples/sec accuracy=19.479167 loss=3.822937 lr=0.028354 Epoch[006] Batch [0949]/[3760] Speed: 61.059506 samples/sec accuracy=19.582237 loss=3.820051 lr=0.028393 Epoch[006] Batch [0999]/[3760] Speed: 60.739330 samples/sec accuracy=19.628125 loss=3.816330 lr=0.028432 Epoch[006] Batch [1049]/[3760] Speed: 60.400378 samples/sec accuracy=19.671131 loss=3.814571 lr=0.028471 Epoch[006] Batch [1099]/[3760] Speed: 60.649744 samples/sec accuracy=19.657670 loss=3.813184 lr=0.028510 Epoch[006] Batch [1149]/[3760] Speed: 60.948797 samples/sec accuracy=19.614130 loss=3.814388 lr=0.028549 Epoch[006] Batch [1199]/[3760] Speed: 60.513890 samples/sec accuracy=19.692708 loss=3.812363 lr=0.028588 Epoch[006] 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accuracy=20.186321 loss=3.773042 lr=0.029723 Epoch[006] Batch [2699]/[3760] Speed: 60.073236 samples/sec accuracy=20.203125 loss=3.772428 lr=0.029762 Epoch[006] Batch [2749]/[3760] Speed: 61.226066 samples/sec accuracy=20.243182 loss=3.770080 lr=0.029801 Epoch[006] Batch [2799]/[3760] Speed: 60.127618 samples/sec accuracy=20.263393 loss=3.769516 lr=0.029840 Epoch[006] Batch [2849]/[3760] Speed: 60.278926 samples/sec accuracy=20.269189 loss=3.768059 lr=0.029880 Epoch[006] Batch [2899]/[3760] Speed: 60.579541 samples/sec accuracy=20.294720 loss=3.766734 lr=0.029919 Epoch[006] Batch [2949]/[3760] Speed: 60.903435 samples/sec accuracy=20.306144 loss=3.766113 lr=0.029958 Epoch[006] Batch [2999]/[3760] Speed: 60.214007 samples/sec accuracy=20.350000 loss=3.764017 lr=0.029997 Epoch[006] Batch [3049]/[3760] Speed: 60.865038 samples/sec accuracy=20.369365 loss=3.762345 lr=0.030036 Epoch[006] Batch [3099]/[3760] Speed: 60.769457 samples/sec accuracy=20.381048 loss=3.762423 lr=0.030075 Epoch[006] 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accuracy=20.587240 loss=3.748426 lr=0.030466 Epoch[006] Batch [3649]/[3760] Speed: 60.887134 samples/sec accuracy=20.591182 loss=3.747667 lr=0.030505 Epoch[006] Batch [3699]/[3760] Speed: 60.500463 samples/sec accuracy=20.606841 loss=3.746337 lr=0.030545 Epoch[006] Batch [3749]/[3760] Speed: 65.648672 samples/sec accuracy=20.627917 loss=3.745685 lr=0.030584 Batch [0049]/[0303]: acc-top1=20.187500 acc-top5=45.250000 Batch [0099]/[0303]: acc-top1=21.062500 acc-top5=46.031250 Batch [0149]/[0303]: acc-top1=21.604167 acc-top5=46.041667 Batch [0199]/[0303]: acc-top1=21.640625 acc-top5=45.875000 Batch [0249]/[0303]: acc-top1=21.687500 acc-top5=45.831250 Batch [0299]/[0303]: acc-top1=21.770833 acc-top5=45.901042 [Epoch 006] training: accuracy=20.630818 loss=3.745755 [Epoch 006] speed: 60 samples/sec time cost: 4304.664340 [Epoch 006] validation: acc-top1=21.766708 acc-top5=45.864274 loss=3.758342 Epoch[007] Batch [0049]/[3760] Speed: 41.226889 samples/sec accuracy=22.937500 loss=3.595986 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lr=0.032861 Epoch[007] Batch [2949]/[3760] Speed: 60.663354 samples/sec accuracy=23.413665 loss=3.557971 lr=0.032900 Epoch[007] Batch [2999]/[3760] Speed: 60.617294 samples/sec accuracy=23.440625 loss=3.555883 lr=0.032939 Epoch[007] Batch [3049]/[3760] Speed: 61.314928 samples/sec accuracy=23.473361 loss=3.555237 lr=0.032978 Epoch[007] Batch [3099]/[3760] Speed: 60.333282 samples/sec accuracy=23.473286 loss=3.554579 lr=0.033017 Epoch[007] Batch [3149]/[3760] Speed: 61.018501 samples/sec accuracy=23.475198 loss=3.554140 lr=0.033056 Epoch[007] Batch [3199]/[3760] Speed: 60.706447 samples/sec accuracy=23.500000 loss=3.552450 lr=0.033095 Epoch[007] Batch [3249]/[3760] Speed: 60.715114 samples/sec accuracy=23.514423 loss=3.550410 lr=0.033134 Epoch[007] Batch [3299]/[3760] Speed: 60.679914 samples/sec accuracy=23.542140 loss=3.549497 lr=0.033174 Epoch[007] Batch [3349]/[3760] Speed: 60.311762 samples/sec accuracy=23.548041 loss=3.548260 lr=0.033213 Epoch[007] Batch [3399]/[3760] Speed: 61.090100 samples/sec accuracy=23.564338 loss=3.547729 lr=0.033252 Epoch[007] Batch [3449]/[3760] Speed: 60.404939 samples/sec accuracy=23.579257 loss=3.546513 lr=0.033291 Epoch[007] Batch [3499]/[3760] Speed: 61.197732 samples/sec accuracy=23.605357 loss=3.544900 lr=0.033330 Epoch[007] Batch [3549]/[3760] Speed: 60.752633 samples/sec accuracy=23.632482 loss=3.543618 lr=0.033369 Epoch[007] Batch [3599]/[3760] Speed: 60.838745 samples/sec accuracy=23.660590 loss=3.542832 lr=0.033408 Epoch[007] Batch [3649]/[3760] Speed: 60.753581 samples/sec accuracy=23.685788 loss=3.541334 lr=0.033447 Epoch[007] Batch [3699]/[3760] Speed: 60.966272 samples/sec accuracy=23.693834 loss=3.540110 lr=0.033487 Epoch[007] Batch [3749]/[3760] Speed: 65.674944 samples/sec accuracy=23.707083 loss=3.539276 lr=0.033526 Batch [0049]/[0303]: acc-top1=23.531250 acc-top5=50.125000 Batch [0099]/[0303]: acc-top1=24.328125 acc-top5=50.875000 Batch [0149]/[0303]: acc-top1=24.864583 acc-top5=50.697917 Batch [0199]/[0303]: acc-top1=24.781250 acc-top5=50.750000 Batch [0249]/[0303]: acc-top1=24.756250 acc-top5=50.650000 Batch [0299]/[0303]: acc-top1=25.026042 acc-top5=50.937500 [Epoch 007] training: accuracy=23.709275 loss=3.539025 [Epoch 007] speed: 60 samples/sec time cost: 4295.049730 [Epoch 007] validation: acc-top1=25.010314 acc-top5=50.907591 loss=3.571875 Epoch[008] Batch [0049]/[3759] Speed: 40.245697 samples/sec accuracy=26.187500 loss=3.336452 lr=0.033573 Epoch[008] Batch [0099]/[3759] Speed: 59.259298 samples/sec accuracy=26.171875 loss=3.380776 lr=0.033612 Epoch[008] Batch [0149]/[3759] Speed: 61.302359 samples/sec accuracy=26.416667 loss=3.364463 lr=0.033651 Epoch[008] Batch [0199]/[3759] Speed: 60.142544 samples/sec accuracy=26.632813 loss=3.370139 lr=0.033690 Epoch[008] Batch [0249]/[3759] Speed: 61.328386 samples/sec accuracy=26.518750 loss=3.378545 lr=0.033729 Epoch[008] Batch [0299]/[3759] Speed: 59.765147 samples/sec accuracy=26.291667 loss=3.383745 lr=0.033768 Epoch[008] Batch 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accuracy=26.140625 loss=3.396336 lr=0.034159 Epoch[008] Batch [0849]/[3759] Speed: 60.345352 samples/sec accuracy=26.189338 loss=3.395557 lr=0.034199 Epoch[008] Batch [0899]/[3759] Speed: 60.618397 samples/sec accuracy=26.187500 loss=3.394779 lr=0.034238 Epoch[008] Batch [0949]/[3759] Speed: 60.799029 samples/sec accuracy=26.136513 loss=3.396194 lr=0.034277 Epoch[008] Batch [0999]/[3759] Speed: 60.978136 samples/sec accuracy=26.160937 loss=3.396034 lr=0.034316 Epoch[008] Batch [1049]/[3759] Speed: 60.849393 samples/sec accuracy=26.141369 loss=3.393543 lr=0.034355 Epoch[008] Batch [1099]/[3759] Speed: 60.559357 samples/sec accuracy=26.160511 loss=3.394039 lr=0.034394 Epoch[008] Batch [1149]/[3759] Speed: 61.387819 samples/sec accuracy=26.183424 loss=3.393576 lr=0.034433 Epoch[008] Batch [1199]/[3759] Speed: 60.819960 samples/sec accuracy=26.166667 loss=3.394735 lr=0.034472 Epoch[008] Batch [1249]/[3759] Speed: 60.975581 samples/sec accuracy=26.186250 loss=3.392448 lr=0.034512 Epoch[008] 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accuracy=26.843750 loss=3.352638 lr=0.036389 Epoch[008] Batch [3699]/[3759] Speed: 60.927391 samples/sec accuracy=26.838682 loss=3.352450 lr=0.036429 Epoch[008] Batch [3749]/[3759] Speed: 66.569426 samples/sec accuracy=26.877083 loss=3.350002 lr=0.036468 Batch [0049]/[0303]: acc-top1=27.343750 acc-top5=54.468750 Batch [0099]/[0303]: acc-top1=28.375000 acc-top5=55.296875 Batch [0149]/[0303]: acc-top1=28.635417 acc-top5=55.114583 Batch [0199]/[0303]: acc-top1=28.492188 acc-top5=55.117188 Batch [0249]/[0303]: acc-top1=28.418750 acc-top5=55.206250 Batch [0299]/[0303]: acc-top1=28.635417 acc-top5=55.619792 [Epoch 008] training: accuracy=26.881734 loss=3.349863 [Epoch 008] speed: 60 samples/sec time cost: 4290.228338 [Epoch 008] validation: acc-top1=28.604579 acc-top5=55.626031 loss=3.311381 Epoch[009] Batch [0049]/[3760] Speed: 39.933150 samples/sec accuracy=29.125000 loss=3.189700 lr=0.036514 Epoch[009] Batch [0099]/[3760] Speed: 59.089145 samples/sec accuracy=29.187500 loss=3.217404 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lr=0.038040 Epoch[009] Batch [2049]/[3760] Speed: 60.872889 samples/sec accuracy=29.384146 loss=3.213800 lr=0.038079 Epoch[009] Batch [2099]/[3760] Speed: 61.518693 samples/sec accuracy=29.367560 loss=3.213258 lr=0.038118 Epoch[009] Batch [2149]/[3760] Speed: 60.938010 samples/sec accuracy=29.377180 loss=3.214004 lr=0.038157 Epoch[009] Batch [2199]/[3760] Speed: 61.403045 samples/sec accuracy=29.397017 loss=3.214196 lr=0.038196 Epoch[009] Batch [2249]/[3760] Speed: 60.395023 samples/sec accuracy=29.393056 loss=3.213523 lr=0.038235 Epoch[009] Batch [2299]/[3760] Speed: 61.074795 samples/sec accuracy=29.394022 loss=3.213418 lr=0.038274 Epoch[009] Batch [2349]/[3760] Speed: 61.091563 samples/sec accuracy=29.411569 loss=3.211971 lr=0.038313 Epoch[009] Batch [2399]/[3760] Speed: 60.458537 samples/sec accuracy=29.423177 loss=3.211480 lr=0.038353 Epoch[009] Batch [2449]/[3760] Speed: 61.220513 samples/sec accuracy=29.424107 loss=3.210380 lr=0.038392 Epoch[009] Batch [2499]/[3760] Speed: 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lr=0.038783 Epoch[009] Batch [2999]/[3760] Speed: 60.946957 samples/sec accuracy=29.521875 loss=3.205752 lr=0.038822 Epoch[009] Batch [3049]/[3760] Speed: 60.807526 samples/sec accuracy=29.534836 loss=3.205296 lr=0.038861 Epoch[009] Batch [3099]/[3760] Speed: 61.405970 samples/sec accuracy=29.545867 loss=3.204023 lr=0.038900 Epoch[009] Batch [3149]/[3760] Speed: 60.462594 samples/sec accuracy=29.554563 loss=3.202357 lr=0.038939 Epoch[009] Batch [3199]/[3760] Speed: 61.033547 samples/sec accuracy=29.566406 loss=3.201606 lr=0.038979 Epoch[009] Batch [3249]/[3760] Speed: 60.517732 samples/sec accuracy=29.582212 loss=3.199941 lr=0.039018 Epoch[009] Batch [3299]/[3760] Speed: 61.134567 samples/sec accuracy=29.584280 loss=3.199843 lr=0.039057 Epoch[009] Batch [3349]/[3760] Speed: 61.013127 samples/sec accuracy=29.593284 loss=3.198994 lr=0.039096 Epoch[009] Batch [3399]/[3760] Speed: 61.008165 samples/sec accuracy=29.591452 loss=3.199179 lr=0.039135 Epoch[009] Batch [3449]/[3760] Speed: 60.799022 samples/sec accuracy=29.607337 loss=3.197451 lr=0.039174 Epoch[009] Batch [3499]/[3760] Speed: 60.819812 samples/sec accuracy=29.634821 loss=3.196223 lr=0.039213 Epoch[009] Batch [3549]/[3760] Speed: 61.262122 samples/sec accuracy=29.622799 loss=3.195932 lr=0.039252 Epoch[009] Batch [3599]/[3760] Speed: 61.216066 samples/sec accuracy=29.615017 loss=3.195714 lr=0.039291 Epoch[009] Batch [3649]/[3760] Speed: 60.902448 samples/sec accuracy=29.625856 loss=3.194817 lr=0.039331 Epoch[009] Batch [3699]/[3760] Speed: 61.093521 samples/sec accuracy=29.630490 loss=3.194205 lr=0.039370 Epoch[009] Batch [3749]/[3760] Speed: 66.432005 samples/sec accuracy=29.642500 loss=3.192663 lr=0.039409 Batch [0049]/[0303]: acc-top1=28.437500 acc-top5=56.500000 Batch [0099]/[0303]: acc-top1=29.687500 acc-top5=57.234375 Batch [0149]/[0303]: acc-top1=29.677083 acc-top5=57.208333 Batch [0199]/[0303]: acc-top1=29.945312 acc-top5=56.867188 Batch [0249]/[0303]: acc-top1=29.825000 acc-top5=56.531250 Batch [0299]/[0303]: acc-top1=29.854167 acc-top5=56.744792 [Epoch 009] training: accuracy=29.629322 loss=3.192784 [Epoch 009] speed: 60 samples/sec time cost: 4275.576008 [Epoch 009] validation: acc-top1=29.811262 acc-top5=56.745050 loss=3.309424 Epoch[010] Batch [0049]/[3760] Speed: 39.844074 samples/sec accuracy=31.156250 loss=3.066816 lr=0.039456 Epoch[010] Batch [0099]/[3760] Speed: 59.485952 samples/sec accuracy=31.609375 loss=3.066113 lr=0.039495 Epoch[010] Batch [0149]/[3760] Speed: 60.855155 samples/sec accuracy=31.666667 loss=3.068136 lr=0.039534 Epoch[010] Batch [0199]/[3760] Speed: 60.314133 samples/sec accuracy=31.882812 loss=3.055824 lr=0.039573 Epoch[010] Batch [0249]/[3760] Speed: 61.826014 samples/sec accuracy=31.693750 loss=3.060238 lr=0.039612 Epoch[010] Batch [0299]/[3760] Speed: 60.416124 samples/sec accuracy=31.473958 loss=3.071008 lr=0.039651 Epoch[010] Batch [0349]/[3760] Speed: 60.933385 samples/sec accuracy=31.553571 loss=3.067384 lr=0.039691 Epoch[010] Batch 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accuracy=31.523897 loss=3.067139 lr=0.040082 Epoch[010] Batch [0899]/[3760] Speed: 61.375284 samples/sec accuracy=31.498264 loss=3.066221 lr=0.040121 Epoch[010] Batch [0949]/[3760] Speed: 61.083924 samples/sec accuracy=31.495066 loss=3.065604 lr=0.040160 Epoch[010] Batch [0999]/[3760] Speed: 60.929694 samples/sec accuracy=31.525000 loss=3.065499 lr=0.040199 Epoch[010] Batch [1049]/[3760] Speed: 61.052963 samples/sec accuracy=31.531250 loss=3.067845 lr=0.040238 Epoch[010] Batch [1099]/[3760] Speed: 60.765285 samples/sec accuracy=31.568182 loss=3.068040 lr=0.040277 Epoch[010] Batch [1149]/[3760] Speed: 61.129170 samples/sec accuracy=31.565217 loss=3.069053 lr=0.040316 Epoch[010] Batch [1199]/[3760] Speed: 61.117334 samples/sec accuracy=31.589844 loss=3.068668 lr=0.040356 Epoch[010] Batch [1249]/[3760] Speed: 60.750071 samples/sec accuracy=31.580000 loss=3.069824 lr=0.040395 Epoch[010] Batch [1299]/[3760] Speed: 61.150045 samples/sec accuracy=31.549279 loss=3.069978 lr=0.040434 Epoch[010] 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accuracy=31.539062 loss=3.071302 lr=0.040825 Epoch[010] Batch [1849]/[3760] Speed: 61.361780 samples/sec accuracy=31.554899 loss=3.070703 lr=0.040864 Epoch[010] Batch [1899]/[3760] Speed: 60.936185 samples/sec accuracy=31.558388 loss=3.069490 lr=0.040903 Epoch[010] Batch [1949]/[3760] Speed: 60.805350 samples/sec accuracy=31.552083 loss=3.069706 lr=0.040942 Epoch[010] Batch [1999]/[3760] Speed: 60.966181 samples/sec accuracy=31.543750 loss=3.070347 lr=0.040982 Epoch[010] Batch [2049]/[3760] Speed: 61.336041 samples/sec accuracy=31.548780 loss=3.071702 lr=0.041021 Epoch[010] Batch [2099]/[3760] Speed: 61.045813 samples/sec accuracy=31.566964 loss=3.071045 lr=0.041060 Epoch[010] Batch [2149]/[3760] Speed: 61.302097 samples/sec accuracy=31.585029 loss=3.069932 lr=0.041099 Epoch[010] Batch [2199]/[3760] Speed: 60.897894 samples/sec accuracy=31.578835 loss=3.070556 lr=0.041138 Epoch[010] Batch [2249]/[3760] Speed: 60.894300 samples/sec accuracy=31.577083 loss=3.069122 lr=0.041177 Epoch[010] 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accuracy=31.625000 loss=3.065384 lr=0.041568 Epoch[010] Batch [2799]/[3760] Speed: 60.911607 samples/sec accuracy=31.617188 loss=3.064991 lr=0.041608 Epoch[010] Batch [2849]/[3760] Speed: 60.688332 samples/sec accuracy=31.633224 loss=3.064993 lr=0.041647 Epoch[010] Batch [2899]/[3760] Speed: 61.604912 samples/sec accuracy=31.643858 loss=3.063260 lr=0.041686 Epoch[010] Batch [2949]/[3760] Speed: 61.761808 samples/sec accuracy=31.648835 loss=3.063212 lr=0.041725 Epoch[010] Batch [2999]/[3760] Speed: 60.596250 samples/sec accuracy=31.655208 loss=3.062590 lr=0.041764 Epoch[010] Batch [3049]/[3760] Speed: 60.761809 samples/sec accuracy=31.660348 loss=3.062030 lr=0.041803 Epoch[010] Batch [3099]/[3760] Speed: 60.450898 samples/sec accuracy=31.670363 loss=3.061766 lr=0.041842 Epoch[010] Batch [3149]/[3760] Speed: 61.311648 samples/sec accuracy=31.676091 loss=3.061376 lr=0.041881 Epoch[010] Batch [3199]/[3760] Speed: 61.075025 samples/sec accuracy=31.662109 loss=3.061472 lr=0.041921 Epoch[010] Batch [3249]/[3760] Speed: 60.988284 samples/sec accuracy=31.673077 loss=3.060726 lr=0.041960 Epoch[010] Batch [3299]/[3760] Speed: 61.048379 samples/sec accuracy=31.698390 loss=3.059218 lr=0.041999 Epoch[010] Batch [3349]/[3760] Speed: 60.848346 samples/sec accuracy=31.704757 loss=3.059716 lr=0.042038 Epoch[010] Batch [3399]/[3760] Speed: 61.175380 samples/sec accuracy=31.706801 loss=3.059530 lr=0.042077 Epoch[010] Batch [3449]/[3760] Speed: 61.204890 samples/sec accuracy=31.715580 loss=3.059391 lr=0.042116 Epoch[010] Batch [3499]/[3760] Speed: 60.662678 samples/sec accuracy=31.727679 loss=3.059555 lr=0.042155 Epoch[010] Batch [3549]/[3760] Speed: 61.102529 samples/sec accuracy=31.735915 loss=3.058803 lr=0.042194 Epoch[010] Batch [3599]/[3760] Speed: 60.984140 samples/sec accuracy=31.745226 loss=3.058320 lr=0.042233 Epoch[010] Batch [3649]/[3760] Speed: 61.258699 samples/sec accuracy=31.760274 loss=3.058367 lr=0.042273 Epoch[010] Batch [3699]/[3760] Speed: 61.136164 samples/sec accuracy=31.774071 loss=3.058591 lr=0.042312 Epoch[010] Batch [3749]/[3760] Speed: 65.977622 samples/sec accuracy=31.800417 loss=3.058218 lr=0.042351 Batch [0049]/[0303]: acc-top1=30.968750 acc-top5=59.562500 Batch [0099]/[0303]: acc-top1=31.781250 acc-top5=61.031250 Batch [0149]/[0303]: acc-top1=32.197917 acc-top5=60.822917 Batch [0199]/[0303]: acc-top1=32.609375 acc-top5=60.585938 Batch [0249]/[0303]: acc-top1=32.456250 acc-top5=60.393750 Batch [0299]/[0303]: acc-top1=32.526042 acc-top5=60.677083 [Epoch 010] training: accuracy=31.797706 loss=3.058566 [Epoch 010] speed: 60 samples/sec time cost: 4277.661640 [Epoch 010] validation: acc-top1=32.544348 acc-top5=60.674505 loss=3.073524 Epoch[011] Batch [0049]/[3759] Speed: 40.504488 samples/sec accuracy=33.625000 loss=2.969100 lr=0.042398 Epoch[011] Batch [0099]/[3759] Speed: 59.289194 samples/sec accuracy=33.171875 loss=2.981639 lr=0.042437 Epoch[011] Batch [0149]/[3759] Speed: 60.620297 samples/sec accuracy=33.541667 loss=2.959533 lr=0.042476 Epoch[011] Batch [0199]/[3759] Speed: 60.540006 samples/sec accuracy=33.523438 loss=2.961490 lr=0.042515 Epoch[011] Batch [0249]/[3759] Speed: 61.170249 samples/sec accuracy=33.568750 loss=2.963105 lr=0.042554 Epoch[011] Batch [0299]/[3759] Speed: 60.695781 samples/sec accuracy=33.630208 loss=2.962012 lr=0.042593 Epoch[011] Batch [0349]/[3759] Speed: 61.036656 samples/sec accuracy=33.500000 loss=2.969781 lr=0.042633 Epoch[011] Batch [0399]/[3759] Speed: 60.715991 samples/sec accuracy=33.535156 loss=2.968793 lr=0.042672 Epoch[011] Batch [0449]/[3759] Speed: 61.075469 samples/sec accuracy=33.569444 loss=2.963788 lr=0.042711 Epoch[011] Batch [0499]/[3759] Speed: 60.455779 samples/sec accuracy=33.440625 loss=2.966763 lr=0.042750 Epoch[011] Batch [0549]/[3759] Speed: 61.025381 samples/sec accuracy=33.585227 loss=2.959994 lr=0.042789 Epoch[011] Batch [0599]/[3759] Speed: 60.679215 samples/sec accuracy=33.570312 loss=2.963919 lr=0.042828 Epoch[011] Batch [0649]/[3759] Speed: 60.264036 samples/sec accuracy=33.725962 loss=2.958246 lr=0.042867 Epoch[011] Batch [0699]/[3759] Speed: 61.274892 samples/sec accuracy=33.747768 loss=2.958555 lr=0.042906 Epoch[011] Batch [0749]/[3759] Speed: 61.122724 samples/sec accuracy=33.666667 loss=2.962052 lr=0.042946 Epoch[011] Batch [0799]/[3759] Speed: 60.559928 samples/sec accuracy=33.669922 loss=2.962974 lr=0.042985 Epoch[011] Batch [0849]/[3759] Speed: 61.181458 samples/sec accuracy=33.696691 loss=2.962266 lr=0.043024 Epoch[011] Batch [0899]/[3759] Speed: 60.155983 samples/sec accuracy=33.642361 loss=2.965460 lr=0.043063 Epoch[011] Batch [0949]/[3759] Speed: 61.387202 samples/sec accuracy=33.628289 loss=2.967008 lr=0.043102 Epoch[011] Batch [0999]/[3759] Speed: 59.933030 samples/sec accuracy=33.600000 loss=2.968963 lr=0.043141 Epoch[011] Batch [1049]/[3759] Speed: 61.553089 samples/sec accuracy=33.601190 loss=2.968787 lr=0.043180 Epoch[011] Batch [1099]/[3759] Speed: 60.285263 samples/sec accuracy=33.548295 loss=2.970602 lr=0.043219 Epoch[011] Batch [1149]/[3759] Speed: 61.680659 samples/sec accuracy=33.546196 loss=2.969768 lr=0.043258 Epoch[011] Batch [1199]/[3759] Speed: 61.194249 samples/sec accuracy=33.553385 loss=2.969011 lr=0.043298 Epoch[011] Batch [1249]/[3759] Speed: 60.943955 samples/sec accuracy=33.560000 loss=2.967702 lr=0.043337 Epoch[011] Batch [1299]/[3759] Speed: 60.721295 samples/sec accuracy=33.524038 loss=2.968948 lr=0.043376 Epoch[011] Batch [1349]/[3759] Speed: 61.339990 samples/sec accuracy=33.474537 loss=2.970835 lr=0.043415 Epoch[011] Batch [1399]/[3759] Speed: 61.324727 samples/sec accuracy=33.383929 loss=2.972878 lr=0.043454 Epoch[011] Batch [1449]/[3759] Speed: 60.719264 samples/sec accuracy=33.440733 loss=2.971163 lr=0.043493 Epoch[011] Batch [1499]/[3759] Speed: 61.668352 samples/sec accuracy=33.429167 loss=2.971794 lr=0.043532 Epoch[011] Batch [1549]/[3759] Speed: 61.062826 samples/sec accuracy=33.368952 loss=2.972819 lr=0.043571 Epoch[011] Batch [1599]/[3759] Speed: 60.699324 samples/sec accuracy=33.361328 loss=2.972473 lr=0.043611 Epoch[011] Batch [1649]/[3759] Speed: 60.878041 samples/sec accuracy=33.377841 loss=2.971871 lr=0.043650 Epoch[011] Batch [1699]/[3759] Speed: 60.509831 samples/sec accuracy=33.361213 loss=2.971530 lr=0.043689 Epoch[011] Batch [1749]/[3759] Speed: 61.243729 samples/sec accuracy=33.391071 loss=2.970875 lr=0.043728 Epoch[011] Batch [1799]/[3759] Speed: 60.319624 samples/sec accuracy=33.448785 loss=2.969517 lr=0.043767 Epoch[011] Batch [1849]/[3759] Speed: 60.944111 samples/sec accuracy=33.506757 loss=2.967503 lr=0.043806 Epoch[011] Batch [1899]/[3759] Speed: 60.716483 samples/sec accuracy=33.538651 loss=2.966456 lr=0.043845 Epoch[011] Batch [1949]/[3759] Speed: 61.207805 samples/sec accuracy=33.544872 loss=2.966433 lr=0.043884 Epoch[011] Batch [1999]/[3759] Speed: 61.352387 samples/sec accuracy=33.552344 loss=2.966059 lr=0.043924 Epoch[011] Batch [2049]/[3759] Speed: 60.637370 samples/sec accuracy=33.539634 loss=2.965792 lr=0.043963 Epoch[011] Batch [2099]/[3759] Speed: 61.584204 samples/sec accuracy=33.552083 loss=2.964884 lr=0.044002 Epoch[011] Batch [2149]/[3759] Speed: 60.944938 samples/sec accuracy=33.577035 loss=2.964248 lr=0.044041 Epoch[011] Batch [2199]/[3759] Speed: 61.150313 samples/sec accuracy=33.569602 loss=2.963810 lr=0.044080 Epoch[011] Batch [2249]/[3759] Speed: 60.731646 samples/sec accuracy=33.578472 loss=2.963095 lr=0.044119 Epoch[011] Batch [2299]/[3759] Speed: 60.805190 samples/sec accuracy=33.585598 loss=2.962389 lr=0.044158 Epoch[011] Batch [2349]/[3759] Speed: 61.054928 samples/sec accuracy=33.607713 loss=2.962267 lr=0.044197 Epoch[011] Batch [2399]/[3759] Speed: 60.617008 samples/sec accuracy=33.602214 loss=2.962673 lr=0.044237 Epoch[011] Batch [2449]/[3759] Speed: 60.905598 samples/sec accuracy=33.599490 loss=2.962007 lr=0.044276 Epoch[011] Batch [2499]/[3759] Speed: 60.874456 samples/sec accuracy=33.633125 loss=2.960825 lr=0.044315 Epoch[011] Batch [2549]/[3759] Speed: 61.288073 samples/sec accuracy=33.655025 loss=2.960116 lr=0.044354 Epoch[011] Batch [2599]/[3759] Speed: 60.925692 samples/sec accuracy=33.652644 loss=2.959834 lr=0.044393 Epoch[011] Batch [2649]/[3759] Speed: 60.618930 samples/sec accuracy=33.665684 loss=2.959696 lr=0.044432 Epoch[011] Batch [2699]/[3759] Speed: 60.648034 samples/sec accuracy=33.668981 loss=2.959606 lr=0.044471 Epoch[011] Batch [2749]/[3759] Speed: 60.959243 samples/sec accuracy=33.663068 loss=2.960474 lr=0.044510 Epoch[011] Batch [2799]/[3759] Speed: 61.045063 samples/sec accuracy=33.654018 loss=2.960882 lr=0.044550 Epoch[011] Batch [2849]/[3759] Speed: 60.661044 samples/sec accuracy=33.637061 loss=2.961298 lr=0.044589 Epoch[011] Batch [2899]/[3759] Speed: 60.996745 samples/sec accuracy=33.664871 loss=2.960917 lr=0.044628 Epoch[011] Batch [2949]/[3759] Speed: 60.836134 samples/sec accuracy=33.655720 loss=2.962001 lr=0.044667 Epoch[011] Batch [2999]/[3759] Speed: 61.019126 samples/sec accuracy=33.625000 loss=2.962086 lr=0.044706 Epoch[011] Batch [3049]/[3759] Speed: 61.074894 samples/sec accuracy=33.597848 loss=2.962672 lr=0.044745 Epoch[011] Batch [3099]/[3759] Speed: 61.263705 samples/sec accuracy=33.601310 loss=2.962790 lr=0.044784 Epoch[011] Batch [3149]/[3759] Speed: 61.208624 samples/sec accuracy=33.602183 loss=2.962661 lr=0.044823 Epoch[011] Batch [3199]/[3759] Speed: 61.270654 samples/sec accuracy=33.595703 loss=2.962247 lr=0.044862 Epoch[011] Batch [3249]/[3759] Speed: 61.294931 samples/sec accuracy=33.600481 loss=2.961758 lr=0.044902 Epoch[011] Batch [3299]/[3759] Speed: 61.950052 samples/sec accuracy=33.566288 loss=2.962262 lr=0.044941 Epoch[011] Batch [3349]/[3759] Speed: 61.041968 samples/sec accuracy=33.554104 loss=2.962995 lr=0.044980 Epoch[011] Batch [3399]/[3759] Speed: 61.140963 samples/sec accuracy=33.572151 loss=2.962411 lr=0.045019 Epoch[011] Batch [3449]/[3759] Speed: 61.456895 samples/sec accuracy=33.586957 loss=2.961838 lr=0.045058 Epoch[011] Batch [3499]/[3759] Speed: 61.244887 samples/sec accuracy=33.599554 loss=2.961234 lr=0.045097 Epoch[011] Batch [3549]/[3759] Speed: 61.433871 samples/sec accuracy=33.601232 loss=2.961486 lr=0.045136 Epoch[011] Batch [3599]/[3759] Speed: 61.259202 samples/sec accuracy=33.605035 loss=2.961979 lr=0.045175 Epoch[011] Batch [3649]/[3759] Speed: 61.326063 samples/sec accuracy=33.607877 loss=2.962443 lr=0.045215 Epoch[011] Batch [3699]/[3759] Speed: 61.094811 samples/sec accuracy=33.622044 loss=2.961921 lr=0.045254 Epoch[011] Batch [3749]/[3759] Speed: 66.670624 samples/sec accuracy=33.647083 loss=2.961096 lr=0.045293 Batch [0049]/[0303]: acc-top1=33.437500 acc-top5=61.343750 Batch [0099]/[0303]: acc-top1=34.703125 acc-top5=63.046875 Batch [0149]/[0303]: acc-top1=34.427083 acc-top5=62.781250 Batch [0199]/[0303]: acc-top1=34.429688 acc-top5=62.523438 Batch [0249]/[0303]: acc-top1=34.312500 acc-top5=62.368750 Batch [0299]/[0303]: acc-top1=34.562500 acc-top5=62.526042 [Epoch 011] training: accuracy=33.654646 loss=2.960735 [Epoch 011] speed: 60 samples/sec time cost: 4276.377573 [Epoch 011] validation: acc-top1=34.565800 acc-top5=62.520627 loss=3.007478 Epoch[012] Batch [0049]/[3760] Speed: 40.494560 samples/sec accuracy=34.843750 loss=2.881173 lr=0.045339 Epoch[012] Batch [0099]/[3760] Speed: 59.462329 samples/sec accuracy=34.640625 loss=2.888199 lr=0.045378 Epoch[012] Batch [0149]/[3760] Speed: 60.857091 samples/sec accuracy=34.729167 loss=2.891861 lr=0.045417 Epoch[012] Batch [0199]/[3760] Speed: 60.493428 samples/sec accuracy=34.796875 loss=2.884863 lr=0.045456 Epoch[012] Batch [0249]/[3760] Speed: 61.515332 samples/sec accuracy=34.837500 loss=2.878934 lr=0.045495 Epoch[012] Batch [0299]/[3760] Speed: 60.314334 samples/sec accuracy=34.885417 loss=2.872748 lr=0.045535 Epoch[012] Batch [0349]/[3760] Speed: 61.050361 samples/sec accuracy=34.879464 loss=2.877417 lr=0.045574 Epoch[012] Batch [0399]/[3760] Speed: 60.976348 samples/sec accuracy=34.980469 loss=2.875245 lr=0.045613 Epoch[012] Batch 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accuracy=34.973958 loss=2.883465 lr=0.046004 Epoch[012] Batch [0949]/[3760] Speed: 60.883934 samples/sec accuracy=34.990132 loss=2.880779 lr=0.046043 Epoch[012] Batch [0999]/[3760] Speed: 60.952386 samples/sec accuracy=34.948438 loss=2.883410 lr=0.046082 Epoch[012] Batch [1049]/[3760] Speed: 61.071020 samples/sec accuracy=35.000000 loss=2.882816 lr=0.046121 Epoch[012] Batch [1099]/[3760] Speed: 61.139903 samples/sec accuracy=35.019886 loss=2.881365 lr=0.046161 Epoch[012] Batch [1149]/[3760] Speed: 60.907344 samples/sec accuracy=34.974185 loss=2.886176 lr=0.046200 Epoch[012] Batch [1199]/[3760] Speed: 61.546253 samples/sec accuracy=34.884115 loss=2.889609 lr=0.046239 Epoch[012] Batch [1249]/[3760] Speed: 61.090818 samples/sec accuracy=34.880000 loss=2.888670 lr=0.046278 Epoch[012] Batch [1299]/[3760] Speed: 61.061594 samples/sec accuracy=34.923077 loss=2.886536 lr=0.046317 Epoch[012] Batch [1349]/[3760] Speed: 60.855859 samples/sec accuracy=34.881944 loss=2.887641 lr=0.046356 Epoch[012] 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accuracy=34.849662 loss=2.890179 lr=0.046747 Epoch[012] Batch [1899]/[3760] Speed: 61.141814 samples/sec accuracy=34.855263 loss=2.889199 lr=0.046787 Epoch[012] Batch [1949]/[3760] Speed: 61.204128 samples/sec accuracy=34.876603 loss=2.889030 lr=0.046826 Epoch[012] Batch [1999]/[3760] Speed: 60.966046 samples/sec accuracy=34.878906 loss=2.888785 lr=0.046865 Epoch[012] Batch [2049]/[3760] Speed: 60.709120 samples/sec accuracy=34.870427 loss=2.888586 lr=0.046904 Epoch[012] Batch [2099]/[3760] Speed: 61.205611 samples/sec accuracy=34.865327 loss=2.888398 lr=0.046943 Epoch[012] Batch [2149]/[3760] Speed: 61.280611 samples/sec accuracy=34.868459 loss=2.888508 lr=0.046982 Epoch[012] Batch [2199]/[3760] Speed: 61.389937 samples/sec accuracy=34.924006 loss=2.886098 lr=0.047021 Epoch[012] Batch [2249]/[3760] Speed: 60.656819 samples/sec accuracy=34.940972 loss=2.886338 lr=0.047060 Epoch[012] Batch [2299]/[3760] Speed: 61.528413 samples/sec accuracy=34.926630 loss=2.886351 lr=0.047099 Epoch[012] 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accuracy=35.016183 loss=2.883716 lr=0.047491 Epoch[012] Batch [2849]/[3760] Speed: 61.671534 samples/sec accuracy=35.026316 loss=2.882852 lr=0.047530 Epoch[012] Batch [2899]/[3760] Speed: 60.731805 samples/sec accuracy=35.016703 loss=2.883526 lr=0.047569 Epoch[012] Batch [2949]/[3760] Speed: 60.938105 samples/sec accuracy=35.028602 loss=2.883037 lr=0.047608 Epoch[012] Batch [2999]/[3760] Speed: 60.456183 samples/sec accuracy=35.018750 loss=2.882996 lr=0.047647 Epoch[012] Batch [3049]/[3760] Speed: 61.296787 samples/sec accuracy=35.019467 loss=2.882260 lr=0.047686 Epoch[012] Batch [3099]/[3760] Speed: 61.033244 samples/sec accuracy=35.011089 loss=2.882592 lr=0.047725 Epoch[012] Batch [3149]/[3760] Speed: 60.802440 samples/sec accuracy=35.011905 loss=2.883564 lr=0.047765 Epoch[012] Batch [3199]/[3760] Speed: 60.755245 samples/sec accuracy=35.010254 loss=2.882525 lr=0.047804 Epoch[012] Batch [3249]/[3760] Speed: 61.055744 samples/sec accuracy=35.040865 loss=2.881496 lr=0.047843 Epoch[012] 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accuracy=35.037917 loss=2.879841 lr=0.048234 Batch [0049]/[0303]: acc-top1=34.250000 acc-top5=62.343750 Batch [0099]/[0303]: acc-top1=34.546875 acc-top5=63.031250 Batch [0149]/[0303]: acc-top1=34.468750 acc-top5=62.593750 Batch [0199]/[0303]: acc-top1=34.703125 acc-top5=62.468750 Batch [0249]/[0303]: acc-top1=34.656250 acc-top5=62.400000 Batch [0299]/[0303]: acc-top1=34.921875 acc-top5=62.692708 [Epoch 012] training: accuracy=35.033660 loss=2.879995 [Epoch 012] speed: 60 samples/sec time cost: 4272.211928 [Epoch 012] validation: acc-top1=34.880363 acc-top5=62.675330 loss=3.058266 Epoch[013] Batch [0049]/[3760] Speed: 40.579926 samples/sec accuracy=36.750000 loss=2.795751 lr=0.048281 Epoch[013] Batch [0099]/[3760] Speed: 58.965890 samples/sec accuracy=36.625000 loss=2.812107 lr=0.048320 Epoch[013] Batch [0149]/[3760] Speed: 60.399723 samples/sec accuracy=37.187500 loss=2.788405 lr=0.048359 Epoch[013] Batch [0199]/[3760] Speed: 60.079398 samples/sec accuracy=36.734375 loss=2.792004 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lr=0.049885 Epoch[013] Batch [2149]/[3760] Speed: 61.361725 samples/sec accuracy=36.198401 loss=2.811979 lr=0.049924 Epoch[013] Batch [2199]/[3760] Speed: 60.769843 samples/sec accuracy=36.221591 loss=2.811608 lr=0.049963 Epoch[013] Batch [2249]/[3760] Speed: 60.926731 samples/sec accuracy=36.227778 loss=2.812442 lr=0.050002 Epoch[013] Batch [2299]/[3760] Speed: 61.408827 samples/sec accuracy=36.242527 loss=2.813652 lr=0.050041 Epoch[013] Batch [2349]/[3760] Speed: 61.521201 samples/sec accuracy=36.230053 loss=2.814665 lr=0.050081 Epoch[013] Batch [2399]/[3760] Speed: 61.366160 samples/sec accuracy=36.208984 loss=2.815034 lr=0.050120 Epoch[013] Batch [2449]/[3760] Speed: 61.295609 samples/sec accuracy=36.230230 loss=2.813578 lr=0.050159 Epoch[013] Batch [2499]/[3760] Speed: 60.911448 samples/sec accuracy=36.211875 loss=2.815088 lr=0.050198 Epoch[013] Batch [2549]/[3760] Speed: 61.282907 samples/sec accuracy=36.245711 loss=2.814529 lr=0.050237 Epoch[013] Batch [2599]/[3760] Speed: 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lr=0.050628 Epoch[013] Batch [3099]/[3760] Speed: 61.694990 samples/sec accuracy=36.357863 loss=2.814279 lr=0.050667 Epoch[013] Batch [3149]/[3760] Speed: 61.463727 samples/sec accuracy=36.358631 loss=2.814683 lr=0.050707 Epoch[013] Batch [3199]/[3760] Speed: 61.287607 samples/sec accuracy=36.343750 loss=2.814643 lr=0.050746 Epoch[013] Batch [3249]/[3760] Speed: 61.274796 samples/sec accuracy=36.366827 loss=2.813510 lr=0.050785 Epoch[013] Batch [3299]/[3760] Speed: 61.291564 samples/sec accuracy=36.371686 loss=2.812921 lr=0.050824 Epoch[013] Batch [3349]/[3760] Speed: 60.698674 samples/sec accuracy=36.391791 loss=2.812405 lr=0.050863 Epoch[013] Batch [3399]/[3760] Speed: 61.566961 samples/sec accuracy=36.401654 loss=2.812158 lr=0.050902 Epoch[013] Batch [3449]/[3760] Speed: 60.926013 samples/sec accuracy=36.403986 loss=2.811845 lr=0.050941 Epoch[013] Batch [3499]/[3760] Speed: 61.265570 samples/sec accuracy=36.417411 loss=2.811016 lr=0.050980 Epoch[013] Batch [3549]/[3760] Speed: 61.094730 samples/sec accuracy=36.418574 loss=2.810929 lr=0.051020 Epoch[013] Batch [3599]/[3760] Speed: 60.805663 samples/sec accuracy=36.426215 loss=2.810661 lr=0.051059 Epoch[013] Batch [3649]/[3760] Speed: 61.010144 samples/sec accuracy=36.421661 loss=2.810382 lr=0.051098 Epoch[013] Batch [3699]/[3760] Speed: 60.869601 samples/sec accuracy=36.428632 loss=2.809946 lr=0.051137 Epoch[013] Batch [3749]/[3760] Speed: 66.191461 samples/sec accuracy=36.446667 loss=2.810049 lr=0.051176 Batch [0049]/[0303]: acc-top1=34.312500 acc-top5=63.343750 Batch [0099]/[0303]: acc-top1=35.500000 acc-top5=64.734375 Batch [0149]/[0303]: acc-top1=35.520833 acc-top5=64.614583 Batch [0199]/[0303]: acc-top1=35.789062 acc-top5=64.421875 Batch [0249]/[0303]: acc-top1=35.868750 acc-top5=64.275000 Batch [0299]/[0303]: acc-top1=36.161458 acc-top5=64.484375 [Epoch 013] training: accuracy=36.447806 loss=2.809964 [Epoch 013] speed: 60 samples/sec time cost: 4270.468171 [Epoch 013] validation: acc-top1=36.133457 acc-top5=64.438944 loss=3.020437 Epoch[014] Batch [0049]/[3759] Speed: 40.153540 samples/sec accuracy=38.375000 loss=2.690770 lr=0.051223 Epoch[014] Batch [0099]/[3759] Speed: 59.058622 samples/sec accuracy=37.937500 loss=2.727802 lr=0.051262 Epoch[014] Batch [0149]/[3759] Speed: 60.295428 samples/sec accuracy=37.364583 loss=2.738116 lr=0.051301 Epoch[014] Batch [0199]/[3759] Speed: 59.859090 samples/sec accuracy=37.242188 loss=2.736464 lr=0.051340 Epoch[014] Batch [0249]/[3759] Speed: 61.656289 samples/sec accuracy=37.137500 loss=2.743529 lr=0.051379 Epoch[014] Batch [0299]/[3759] Speed: 60.351668 samples/sec accuracy=37.432292 loss=2.742299 lr=0.051419 Epoch[014] Batch [0349]/[3759] Speed: 61.607973 samples/sec accuracy=37.178571 loss=2.746470 lr=0.051458 Epoch[014] Batch [0399]/[3759] Speed: 60.025503 samples/sec accuracy=37.312500 loss=2.739211 lr=0.051497 Epoch[014] Batch [0449]/[3759] Speed: 61.415051 samples/sec accuracy=37.329861 loss=2.742872 lr=0.051536 Epoch[014] Batch 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accuracy=37.305099 loss=2.758851 lr=0.052670 Epoch[014] Batch [1949]/[3759] Speed: 61.420657 samples/sec accuracy=37.272436 loss=2.759798 lr=0.052710 Epoch[014] Batch [1999]/[3759] Speed: 60.589567 samples/sec accuracy=37.264063 loss=2.759781 lr=0.052749 Epoch[014] Batch [2049]/[3759] Speed: 61.443225 samples/sec accuracy=37.288110 loss=2.758277 lr=0.052788 Epoch[014] Batch [2099]/[3759] Speed: 61.212836 samples/sec accuracy=37.246280 loss=2.760052 lr=0.052827 Epoch[014] Batch [2149]/[3759] Speed: 61.433770 samples/sec accuracy=37.289244 loss=2.758292 lr=0.052866 Epoch[014] Batch [2199]/[3759] Speed: 61.011666 samples/sec accuracy=37.294744 loss=2.758888 lr=0.052905 Epoch[014] Batch [2249]/[3759] Speed: 61.184879 samples/sec accuracy=37.318750 loss=2.757600 lr=0.052944 Epoch[014] Batch [2299]/[3759] Speed: 61.030769 samples/sec accuracy=37.330842 loss=2.756886 lr=0.052983 Epoch[014] Batch [2349]/[3759] Speed: 60.957946 samples/sec accuracy=37.305851 loss=2.757589 lr=0.053023 Epoch[014] 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accuracy=37.358553 loss=2.758018 lr=0.053414 Epoch[014] Batch [2899]/[3759] Speed: 61.273270 samples/sec accuracy=37.341595 loss=2.757985 lr=0.053453 Epoch[014] Batch [2949]/[3759] Speed: 61.538013 samples/sec accuracy=37.334216 loss=2.758875 lr=0.053492 Epoch[014] Batch [2999]/[3759] Speed: 61.290088 samples/sec accuracy=37.371354 loss=2.757295 lr=0.053531 Epoch[014] Batch [3049]/[3759] Speed: 61.005211 samples/sec accuracy=37.353996 loss=2.758355 lr=0.053570 Epoch[014] Batch [3099]/[3759] Speed: 61.042004 samples/sec accuracy=37.344758 loss=2.758972 lr=0.053609 Epoch[014] Batch [3149]/[3759] Speed: 61.045393 samples/sec accuracy=37.370040 loss=2.757483 lr=0.053649 Epoch[014] Batch [3199]/[3759] Speed: 61.183946 samples/sec accuracy=37.368164 loss=2.757831 lr=0.053688 Epoch[014] Batch [3249]/[3759] Speed: 61.505012 samples/sec accuracy=37.364904 loss=2.758852 lr=0.053727 Epoch[014] Batch [3299]/[3759] Speed: 60.893009 samples/sec accuracy=37.355114 loss=2.759776 lr=0.053766 Epoch[014] 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[0099]/[0303]: acc-top1=36.421875 acc-top5=64.765625 Batch [0149]/[0303]: acc-top1=36.291667 acc-top5=64.625000 Batch [0199]/[0303]: acc-top1=36.203125 acc-top5=64.375000 Batch [0249]/[0303]: acc-top1=36.206250 acc-top5=64.225000 Batch [0299]/[0303]: acc-top1=36.484375 acc-top5=64.614583 [Epoch 014] training: accuracy=37.312533 loss=2.761034 [Epoch 014] speed: 60 samples/sec time cost: 4264.183498 [Epoch 014] validation: acc-top1=36.468647 acc-top5=64.557550 loss=3.113545 Epoch[015] Batch [0049]/[3760] Speed: 40.038104 samples/sec accuracy=38.906250 loss=2.665369 lr=0.054164 Epoch[015] Batch [0099]/[3760] Speed: 59.452360 samples/sec accuracy=39.562500 loss=2.656813 lr=0.054203 Epoch[015] Batch [0149]/[3760] Speed: 60.819872 samples/sec accuracy=39.885417 loss=2.643490 lr=0.054242 Epoch[015] Batch [0199]/[3760] Speed: 60.264852 samples/sec accuracy=39.015625 loss=2.672585 lr=0.054282 Epoch[015] Batch [0249]/[3760] Speed: 61.894482 samples/sec accuracy=38.993750 loss=2.672178 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lr=0.055807 Epoch[015] Batch [2199]/[3760] Speed: 61.215773 samples/sec accuracy=38.284091 loss=2.714448 lr=0.055846 Epoch[015] Batch [2249]/[3760] Speed: 61.396397 samples/sec accuracy=38.245139 loss=2.715180 lr=0.055886 Epoch[015] Batch [2299]/[3760] Speed: 61.052574 samples/sec accuracy=38.255435 loss=2.715107 lr=0.055925 Epoch[015] Batch [2349]/[3760] Speed: 61.402674 samples/sec accuracy=38.242021 loss=2.715707 lr=0.055964 Epoch[015] Batch [2399]/[3760] Speed: 61.047266 samples/sec accuracy=38.211589 loss=2.716328 lr=0.056003 Epoch[015] Batch [2449]/[3760] Speed: 61.371389 samples/sec accuracy=38.203444 loss=2.716674 lr=0.056042 Epoch[015] Batch [2499]/[3760] Speed: 61.219644 samples/sec accuracy=38.216875 loss=2.716501 lr=0.056081 Epoch[015] Batch [2549]/[3760] Speed: 61.264118 samples/sec accuracy=38.227328 loss=2.715905 lr=0.056120 Epoch[015] Batch [2599]/[3760] Speed: 61.436279 samples/sec accuracy=38.219351 loss=2.715948 lr=0.056159 Epoch[015] Batch [2649]/[3760] Speed: 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lr=0.056551 Epoch[015] Batch [3149]/[3760] Speed: 61.427786 samples/sec accuracy=38.213790 loss=2.715777 lr=0.056590 Epoch[015] Batch [3199]/[3760] Speed: 60.711089 samples/sec accuracy=38.229492 loss=2.715322 lr=0.056629 Epoch[015] Batch [3249]/[3760] Speed: 61.317605 samples/sec accuracy=38.224038 loss=2.715478 lr=0.056668 Epoch[015] Batch [3299]/[3760] Speed: 61.413129 samples/sec accuracy=38.213068 loss=2.716178 lr=0.056707 Epoch[015] Batch [3349]/[3760] Speed: 60.914868 samples/sec accuracy=38.204291 loss=2.716696 lr=0.056746 Epoch[015] Batch [3399]/[3760] Speed: 61.389522 samples/sec accuracy=38.199449 loss=2.717148 lr=0.056785 Epoch[015] Batch [3449]/[3760] Speed: 61.007016 samples/sec accuracy=38.190670 loss=2.716969 lr=0.056824 Epoch[015] Batch [3499]/[3760] Speed: 61.563509 samples/sec accuracy=38.196429 loss=2.716115 lr=0.056864 Epoch[015] Batch [3549]/[3760] Speed: 60.724910 samples/sec accuracy=38.184859 loss=2.716412 lr=0.056903 Epoch[015] Batch [3599]/[3760] Speed: 61.466648 samples/sec accuracy=38.174045 loss=2.716418 lr=0.056942 Epoch[015] Batch [3649]/[3760] Speed: 61.433429 samples/sec accuracy=38.182363 loss=2.715898 lr=0.056981 Epoch[015] Batch [3699]/[3760] Speed: 61.096456 samples/sec accuracy=38.173142 loss=2.716407 lr=0.057020 Epoch[015] Batch [3749]/[3760] Speed: 66.276427 samples/sec accuracy=38.170833 loss=2.717160 lr=0.057059 Batch [0049]/[0303]: acc-top1=37.281250 acc-top5=65.750000 Batch [0099]/[0303]: acc-top1=38.671875 acc-top5=66.406250 Batch [0149]/[0303]: acc-top1=38.885417 acc-top5=66.239583 Batch [0199]/[0303]: acc-top1=38.773438 acc-top5=65.898438 Batch [0249]/[0303]: acc-top1=38.462500 acc-top5=65.581250 Batch [0299]/[0303]: acc-top1=38.598958 acc-top5=65.828125 [Epoch 015] training: accuracy=38.177776 loss=2.716985 [Epoch 015] speed: 60 samples/sec time cost: 4260.722592 [Epoch 015] validation: acc-top1=38.588078 acc-top5=65.826114 loss=2.826958 Epoch[016] Batch [0049]/[3760] Speed: 40.314811 samples/sec accuracy=40.750000 loss=2.663073 lr=0.057106 Epoch[016] Batch [0099]/[3760] Speed: 59.031118 samples/sec accuracy=40.546875 loss=2.639578 lr=0.057145 Epoch[016] Batch [0149]/[3760] Speed: 60.789527 samples/sec accuracy=40.010417 loss=2.633156 lr=0.057184 Epoch[016] Batch [0199]/[3760] Speed: 59.863278 samples/sec accuracy=40.250000 loss=2.620756 lr=0.057224 Epoch[016] Batch [0249]/[3760] Speed: 61.369973 samples/sec accuracy=40.300000 loss=2.614543 lr=0.057263 Epoch[016] Batch [0299]/[3760] Speed: 60.572914 samples/sec accuracy=40.177083 loss=2.626119 lr=0.057302 Epoch[016] Batch [0349]/[3760] Speed: 61.723249 samples/sec accuracy=39.950893 loss=2.635627 lr=0.057341 Epoch[016] Batch [0399]/[3760] Speed: 60.828557 samples/sec accuracy=39.917969 loss=2.637236 lr=0.057380 Epoch[016] Batch [0449]/[3760] Speed: 61.348001 samples/sec accuracy=39.854167 loss=2.642907 lr=0.057419 Epoch[016] Batch [0499]/[3760] Speed: 61.349594 samples/sec accuracy=39.793750 loss=2.649806 lr=0.057458 Epoch[016] 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accuracy=38.961746 loss=2.678740 lr=0.059336 Epoch[016] Batch [2949]/[3760] Speed: 60.888167 samples/sec accuracy=38.952331 loss=2.678940 lr=0.059375 Epoch[016] Batch [2999]/[3760] Speed: 61.743983 samples/sec accuracy=38.935417 loss=2.680275 lr=0.059414 Epoch[016] Batch [3049]/[3760] Speed: 61.290387 samples/sec accuracy=38.930328 loss=2.680390 lr=0.059453 Epoch[016] Batch [3099]/[3760] Speed: 61.512748 samples/sec accuracy=38.912802 loss=2.681031 lr=0.059493 Epoch[016] Batch [3149]/[3760] Speed: 61.198973 samples/sec accuracy=38.916171 loss=2.680779 lr=0.059532 Epoch[016] Batch [3199]/[3760] Speed: 61.193308 samples/sec accuracy=38.923340 loss=2.680326 lr=0.059571 Epoch[016] Batch [3249]/[3760] Speed: 61.219692 samples/sec accuracy=38.909615 loss=2.681369 lr=0.059610 Epoch[016] Batch [3299]/[3760] Speed: 61.532459 samples/sec accuracy=38.925663 loss=2.680452 lr=0.059649 Epoch[016] Batch [3349]/[3760] Speed: 61.443452 samples/sec accuracy=38.921642 loss=2.680493 lr=0.059688 Epoch[016] Batch [3399]/[3760] Speed: 61.436638 samples/sec accuracy=38.910386 loss=2.680307 lr=0.059727 Epoch[016] Batch [3449]/[3760] Speed: 60.943746 samples/sec accuracy=38.910779 loss=2.680298 lr=0.059766 Epoch[016] Batch [3499]/[3760] Speed: 61.369603 samples/sec accuracy=38.892411 loss=2.681130 lr=0.059806 Epoch[016] Batch [3549]/[3760] Speed: 61.188934 samples/sec accuracy=38.894366 loss=2.680988 lr=0.059845 Epoch[016] Batch [3599]/[3760] Speed: 61.401642 samples/sec accuracy=38.887153 loss=2.681856 lr=0.059884 Epoch[016] Batch [3649]/[3760] Speed: 61.514804 samples/sec accuracy=38.885702 loss=2.681653 lr=0.059923 Epoch[016] Batch [3699]/[3760] Speed: 61.091642 samples/sec accuracy=38.869088 loss=2.682277 lr=0.059962 Epoch[016] Batch [3749]/[3760] Speed: 66.566394 samples/sec accuracy=38.861667 loss=2.682517 lr=0.060001 Batch [0049]/[0303]: acc-top1=37.625000 acc-top5=65.843750 Batch [0099]/[0303]: acc-top1=39.203125 acc-top5=65.859375 Batch [0149]/[0303]: acc-top1=39.010417 acc-top5=66.052083 Batch [0199]/[0303]: acc-top1=38.984375 acc-top5=66.195312 Batch [0249]/[0303]: acc-top1=38.837500 acc-top5=66.093750 Batch [0299]/[0303]: acc-top1=38.994792 acc-top5=66.270833 [Epoch 016] training: accuracy=38.860123 loss=2.682488 [Epoch 016] speed: 60 samples/sec time cost: 4258.031451 [Epoch 016] validation: acc-top1=38.990305 acc-top5=66.233498 loss=2.897774 Epoch[017] Batch [0049]/[3759] Speed: 40.731236 samples/sec accuracy=40.500000 loss=2.617620 lr=0.060048 Epoch[017] Batch [0099]/[3759] Speed: 59.609708 samples/sec accuracy=39.593750 loss=2.641191 lr=0.060087 Epoch[017] Batch [0149]/[3759] Speed: 60.508240 samples/sec accuracy=39.114583 loss=2.657169 lr=0.060126 Epoch[017] Batch [0199]/[3759] Speed: 60.300362 samples/sec accuracy=39.390625 loss=2.657990 lr=0.060165 Epoch[017] Batch [0249]/[3759] Speed: 61.348929 samples/sec accuracy=39.431250 loss=2.662715 lr=0.060205 Epoch[017] Batch [0299]/[3759] Speed: 60.708532 samples/sec accuracy=39.572917 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accuracy=39.497869 loss=2.649391 lr=0.061730 Epoch[017] Batch [2249]/[3759] Speed: 61.177763 samples/sec accuracy=39.500000 loss=2.649937 lr=0.061769 Epoch[017] Batch [2299]/[3759] Speed: 61.524271 samples/sec accuracy=39.506114 loss=2.649654 lr=0.061809 Epoch[017] Batch [2349]/[3759] Speed: 61.160130 samples/sec accuracy=39.515293 loss=2.649177 lr=0.061848 Epoch[017] Batch [2399]/[3759] Speed: 61.485821 samples/sec accuracy=39.524089 loss=2.648922 lr=0.061887 Epoch[017] Batch [2449]/[3759] Speed: 61.582010 samples/sec accuracy=39.522959 loss=2.649745 lr=0.061926 Epoch[017] Batch [2499]/[3759] Speed: 60.967551 samples/sec accuracy=39.538125 loss=2.649339 lr=0.061965 Epoch[017] Batch [2549]/[3759] Speed: 61.722772 samples/sec accuracy=39.542892 loss=2.648667 lr=0.062004 Epoch[017] Batch [2599]/[3759] Speed: 61.621560 samples/sec accuracy=39.538462 loss=2.648229 lr=0.062043 Epoch[017] Batch [2649]/[3759] Speed: 61.401752 samples/sec accuracy=39.534788 loss=2.648727 lr=0.062082 Epoch[017] 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accuracy=39.484623 loss=2.649955 lr=0.062474 Epoch[017] Batch [3199]/[3759] Speed: 61.285942 samples/sec accuracy=39.450195 loss=2.651646 lr=0.062513 Epoch[017] Batch [3249]/[3759] Speed: 61.611009 samples/sec accuracy=39.453365 loss=2.651534 lr=0.062552 Epoch[017] Batch [3299]/[3759] Speed: 61.399373 samples/sec accuracy=39.463542 loss=2.651127 lr=0.062591 Epoch[017] Batch [3349]/[3759] Speed: 61.206946 samples/sec accuracy=39.474813 loss=2.651414 lr=0.062630 Epoch[017] Batch [3399]/[3759] Speed: 61.415970 samples/sec accuracy=39.459559 loss=2.652460 lr=0.062669 Epoch[017] Batch [3449]/[3759] Speed: 61.520761 samples/sec accuracy=39.453351 loss=2.652464 lr=0.062708 Epoch[017] Batch [3499]/[3759] Speed: 61.157282 samples/sec accuracy=39.446429 loss=2.652805 lr=0.062748 Epoch[017] Batch [3549]/[3759] Speed: 61.062810 samples/sec accuracy=39.449384 loss=2.653291 lr=0.062787 Epoch[017] Batch [3599]/[3759] Speed: 61.252390 samples/sec accuracy=39.457899 loss=2.652741 lr=0.062826 Epoch[017] Batch [3649]/[3759] Speed: 61.397517 samples/sec accuracy=39.456336 loss=2.653260 lr=0.062865 Epoch[017] Batch [3699]/[3759] Speed: 60.916085 samples/sec accuracy=39.454392 loss=2.653094 lr=0.062904 Epoch[017] Batch [3749]/[3759] Speed: 66.967979 samples/sec accuracy=39.452083 loss=2.653370 lr=0.062943 Batch [0049]/[0303]: acc-top1=39.156250 acc-top5=67.281250 Batch [0099]/[0303]: acc-top1=40.093750 acc-top5=67.921875 Batch [0149]/[0303]: acc-top1=39.635417 acc-top5=67.708333 Batch [0199]/[0303]: acc-top1=39.515625 acc-top5=67.726562 Batch [0249]/[0303]: acc-top1=39.562500 acc-top5=67.568750 Batch [0299]/[0303]: acc-top1=39.916667 acc-top5=67.802083 [Epoch 017] training: accuracy=39.460295 loss=2.653181 [Epoch 017] speed: 60 samples/sec time cost: 4253.612076 [Epoch 017] validation: acc-top1=39.851485 acc-top5=67.708333 loss=2.746415 Epoch[018] Batch [0049]/[3760] Speed: 40.570989 samples/sec accuracy=41.468750 loss=2.569268 lr=0.062989 Epoch[018] Batch [0099]/[3760] Speed: 59.554440 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lr=0.065611 Epoch[018] Batch [3449]/[3760] Speed: 61.447612 samples/sec accuracy=39.870471 loss=2.632379 lr=0.065650 Epoch[018] Batch [3499]/[3760] Speed: 61.236575 samples/sec accuracy=39.863839 loss=2.632751 lr=0.065689 Epoch[018] Batch [3549]/[3760] Speed: 61.351136 samples/sec accuracy=39.859595 loss=2.632732 lr=0.065728 Epoch[018] Batch [3599]/[3760] Speed: 61.298829 samples/sec accuracy=39.855903 loss=2.632590 lr=0.065767 Epoch[018] Batch [3649]/[3760] Speed: 61.400827 samples/sec accuracy=39.846747 loss=2.632871 lr=0.065806 Epoch[018] Batch [3699]/[3760] Speed: 61.296534 samples/sec accuracy=39.853885 loss=2.632869 lr=0.065845 Epoch[018] Batch [3749]/[3760] Speed: 66.244316 samples/sec accuracy=39.841667 loss=2.633519 lr=0.065884 Batch [0049]/[0303]: acc-top1=38.375000 acc-top5=66.000000 Batch [0099]/[0303]: acc-top1=39.656250 acc-top5=66.609375 Batch [0149]/[0303]: acc-top1=39.770833 acc-top5=66.770833 Batch [0199]/[0303]: acc-top1=39.718750 acc-top5=66.960938 Batch [0249]/[0303]: acc-top1=39.437500 acc-top5=66.581250 Batch [0299]/[0303]: acc-top1=39.828125 acc-top5=66.859375 [Epoch 018] training: accuracy=39.835854 loss=2.633752 [Epoch 018] speed: 60 samples/sec time cost: 4252.558239 [Epoch 018] validation: acc-top1=39.805074 acc-top5=66.816213 loss=2.809687 Epoch[019] Batch [0049]/[3760] Speed: 40.879762 samples/sec accuracy=39.281250 loss=2.597031 lr=0.065931 Epoch[019] Batch [0099]/[3760] Speed: 59.002495 samples/sec accuracy=39.343750 loss=2.604770 lr=0.065970 Epoch[019] Batch [0149]/[3760] Speed: 60.837794 samples/sec accuracy=39.416667 loss=2.605587 lr=0.066010 Epoch[019] Batch [0199]/[3760] Speed: 60.371457 samples/sec accuracy=39.710938 loss=2.603926 lr=0.066049 Epoch[019] Batch [0249]/[3760] Speed: 61.354631 samples/sec accuracy=40.075000 loss=2.596653 lr=0.066088 Epoch[019] Batch [0299]/[3760] Speed: 60.619429 samples/sec accuracy=40.348958 loss=2.586657 lr=0.066127 Epoch[019] Batch [0349]/[3760] Speed: 61.182006 samples/sec 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Batch [3699]/[3760] Speed: 61.553659 samples/sec accuracy=40.053209 loss=2.617229 lr=0.068787 Epoch[019] Batch [3749]/[3760] Speed: 66.221867 samples/sec accuracy=40.049583 loss=2.617261 lr=0.068826 Batch [0049]/[0303]: acc-top1=38.593750 acc-top5=66.156250 Batch [0099]/[0303]: acc-top1=39.703125 acc-top5=66.953125 Batch [0149]/[0303]: acc-top1=39.458333 acc-top5=66.927083 Batch [0199]/[0303]: acc-top1=39.523438 acc-top5=66.921875 Batch [0249]/[0303]: acc-top1=39.268750 acc-top5=66.750000 Batch [0299]/[0303]: acc-top1=39.437500 acc-top5=66.828125 [Epoch 019] training: accuracy=40.047374 loss=2.617441 [Epoch 019] speed: 60 samples/sec time cost: 4254.608648 [Epoch 019] validation: acc-top1=39.423474 acc-top5=66.790429 loss=2.902030 Epoch[020] Batch [0049]/[3759] Speed: 41.370423 samples/sec accuracy=40.468750 loss=2.581192 lr=0.068873 Epoch[020] Batch [0099]/[3759] Speed: 59.619749 samples/sec accuracy=40.625000 loss=2.573098 lr=0.068912 Epoch[020] Batch [0149]/[3759] Speed: 61.321268 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lr=0.069304 Epoch[020] Batch [0649]/[3759] Speed: 61.667813 samples/sec accuracy=40.620192 loss=2.590443 lr=0.069343 Epoch[020] Batch [0699]/[3759] Speed: 61.217927 samples/sec accuracy=40.714286 loss=2.588608 lr=0.069382 Epoch[020] Batch [0749]/[3759] Speed: 61.244012 samples/sec accuracy=40.618750 loss=2.594488 lr=0.069421 Epoch[020] Batch [0799]/[3759] Speed: 62.027572 samples/sec accuracy=40.583984 loss=2.596212 lr=0.069460 Epoch[020] Batch [0849]/[3759] Speed: 60.952322 samples/sec accuracy=40.704044 loss=2.591561 lr=0.069499 Epoch[020] Batch [0899]/[3759] Speed: 61.925012 samples/sec accuracy=40.621528 loss=2.591367 lr=0.069538 Epoch[020] Batch [0949]/[3759] Speed: 61.158662 samples/sec accuracy=40.565789 loss=2.593514 lr=0.069577 Epoch[020] Batch [0999]/[3759] Speed: 61.367187 samples/sec accuracy=40.610937 loss=2.591848 lr=0.069617 Epoch[020] Batch [1049]/[3759] Speed: 61.310966 samples/sec accuracy=40.611607 loss=2.593305 lr=0.069656 Epoch[020] Batch [1099]/[3759] Speed: 61.390956 samples/sec accuracy=40.626420 loss=2.593588 lr=0.069695 Epoch[020] Batch [1149]/[3759] Speed: 61.793814 samples/sec accuracy=40.618207 loss=2.593364 lr=0.069734 Epoch[020] Batch [1199]/[3759] Speed: 60.686788 samples/sec accuracy=40.634115 loss=2.592943 lr=0.069773 Epoch[020] Batch [1249]/[3759] Speed: 61.422489 samples/sec accuracy=40.608750 loss=2.595056 lr=0.069812 Epoch[020] Batch [1299]/[3759] Speed: 60.813271 samples/sec accuracy=40.576923 loss=2.595632 lr=0.069851 Epoch[020] Batch [1349]/[3759] Speed: 61.480292 samples/sec accuracy=40.649306 loss=2.593426 lr=0.069890 Epoch[020] Batch [1399]/[3759] Speed: 61.000211 samples/sec accuracy=40.654018 loss=2.591916 lr=0.069930 Epoch[020] Batch [1449]/[3759] Speed: 61.649527 samples/sec accuracy=40.658405 loss=2.591534 lr=0.069969 Epoch[020] Batch [1499]/[3759] Speed: 61.279377 samples/sec accuracy=40.671875 loss=2.589732 lr=0.070008 Epoch[020] Batch [1549]/[3759] Speed: 61.457035 samples/sec accuracy=40.662298 loss=2.591413 lr=0.070047 Epoch[020] Batch [1599]/[3759] Speed: 61.705624 samples/sec accuracy=40.655273 loss=2.592313 lr=0.070086 Epoch[020] Batch [1649]/[3759] Speed: 61.263610 samples/sec accuracy=40.660985 loss=2.591441 lr=0.070125 Epoch[020] Batch [1699]/[3759] Speed: 61.269801 samples/sec accuracy=40.641544 loss=2.591485 lr=0.070164 Epoch[020] Batch [1749]/[3759] Speed: 61.124076 samples/sec accuracy=40.643750 loss=2.591243 lr=0.070203 Epoch[020] Batch [1799]/[3759] Speed: 61.650159 samples/sec accuracy=40.641493 loss=2.592956 lr=0.070243 Epoch[020] Batch [1849]/[3759] Speed: 61.733110 samples/sec accuracy=40.627534 loss=2.592497 lr=0.070282 Epoch[020] Batch [1899]/[3759] Speed: 61.158625 samples/sec accuracy=40.595395 loss=2.593408 lr=0.070321 Epoch[020] Batch [1949]/[3759] Speed: 61.728286 samples/sec accuracy=40.609776 loss=2.591877 lr=0.070360 Epoch[020] Batch [1999]/[3759] Speed: 61.642248 samples/sec accuracy=40.598438 loss=2.591778 lr=0.070399 Epoch[020] Batch [2049]/[3759] Speed: 61.306045 samples/sec accuracy=40.602134 loss=2.591753 lr=0.070438 Epoch[020] Batch [2099]/[3759] Speed: 61.243342 samples/sec accuracy=40.573661 loss=2.592307 lr=0.070477 Epoch[020] Batch [2149]/[3759] Speed: 61.915400 samples/sec accuracy=40.561773 loss=2.593867 lr=0.070516 Epoch[020] Batch [2199]/[3759] Speed: 61.646185 samples/sec accuracy=40.559659 loss=2.593687 lr=0.070556 Epoch[020] Batch [2249]/[3759] Speed: 61.184540 samples/sec accuracy=40.550694 loss=2.594703 lr=0.070595 Epoch[020] Batch [2299]/[3759] Speed: 62.022604 samples/sec accuracy=40.544837 loss=2.595162 lr=0.070634 Epoch[020] Batch [2349]/[3759] Speed: 61.239930 samples/sec accuracy=40.525266 loss=2.595590 lr=0.070673 Epoch[020] Batch [2399]/[3759] Speed: 61.595745 samples/sec accuracy=40.513021 loss=2.596107 lr=0.070712 Epoch[020] Batch [2449]/[3759] Speed: 61.581615 samples/sec accuracy=40.501276 loss=2.596211 lr=0.070751 Epoch[020] Batch [2499]/[3759] Speed: 61.738133 samples/sec accuracy=40.505000 loss=2.595768 lr=0.070790 Epoch[020] Batch [2549]/[3759] Speed: 61.651314 samples/sec accuracy=40.512255 loss=2.595544 lr=0.070829 Epoch[020] Batch [2599]/[3759] Speed: 61.326201 samples/sec accuracy=40.510817 loss=2.596180 lr=0.070869 Epoch[020] Batch [2649]/[3759] Speed: 62.086307 samples/sec accuracy=40.508844 loss=2.597039 lr=0.070908 Epoch[020] Batch [2699]/[3759] Speed: 61.066755 samples/sec accuracy=40.495949 loss=2.597138 lr=0.070947 Epoch[020] Batch [2749]/[3759] Speed: 61.774325 samples/sec accuracy=40.504545 loss=2.596912 lr=0.070986 Epoch[020] Batch [2799]/[3759] Speed: 61.447893 samples/sec accuracy=40.512277 loss=2.596829 lr=0.071025 Epoch[020] Batch [2849]/[3759] Speed: 61.351382 samples/sec accuracy=40.508224 loss=2.597476 lr=0.071064 Epoch[020] Batch [2899]/[3759] Speed: 61.355483 samples/sec accuracy=40.523168 loss=2.597467 lr=0.071103 Epoch[020] Batch [2949]/[3759] Speed: 61.747528 samples/sec accuracy=40.526483 loss=2.597250 lr=0.071142 Epoch[020] Batch [2999]/[3759] Speed: 61.476429 samples/sec accuracy=40.545833 loss=2.596682 lr=0.071181 Epoch[020] Batch [3049]/[3759] Speed: 61.634552 samples/sec accuracy=40.535861 loss=2.597433 lr=0.071221 Epoch[020] Batch [3099]/[3759] Speed: 61.717663 samples/sec accuracy=40.535786 loss=2.597549 lr=0.071260 Epoch[020] Batch [3149]/[3759] Speed: 61.735238 samples/sec accuracy=40.526786 loss=2.598264 lr=0.071299 Epoch[020] Batch [3199]/[3759] Speed: 61.683162 samples/sec accuracy=40.505859 loss=2.599438 lr=0.071338 Epoch[020] Batch [3249]/[3759] Speed: 61.405448 samples/sec accuracy=40.508173 loss=2.599610 lr=0.071377 Epoch[020] Batch [3299]/[3759] Speed: 61.734334 samples/sec accuracy=40.497633 loss=2.599570 lr=0.071416 Epoch[020] Batch [3349]/[3759] Speed: 60.911601 samples/sec accuracy=40.495802 loss=2.600201 lr=0.071455 Epoch[020] Batch [3399]/[3759] Speed: 61.582576 samples/sec accuracy=40.488971 loss=2.600135 lr=0.071494 Epoch[020] Batch [3449]/[3759] Speed: 61.179901 samples/sec accuracy=40.512681 loss=2.599063 lr=0.071534 Epoch[020] Batch [3499]/[3759] Speed: 60.391455 samples/sec accuracy=40.496875 loss=2.599683 lr=0.071573 Epoch[020] Batch [3549]/[3759] Speed: 61.933992 samples/sec accuracy=40.481954 loss=2.600102 lr=0.071612 Epoch[020] Batch [3599]/[3759] Speed: 61.060854 samples/sec accuracy=40.496528 loss=2.600303 lr=0.071651 Epoch[020] Batch [3649]/[3759] Speed: 61.706202 samples/sec accuracy=40.485017 loss=2.600708 lr=0.071690 Epoch[020] Batch [3699]/[3759] Speed: 61.348401 samples/sec accuracy=40.503378 loss=2.599886 lr=0.071729 Epoch[020] Batch [3749]/[3759] Speed: 66.503685 samples/sec accuracy=40.516250 loss=2.599584 lr=0.071768 Batch [0049]/[0303]: acc-top1=39.812500 acc-top5=67.093750 Batch [0099]/[0303]: acc-top1=40.546875 acc-top5=68.156250 Batch [0149]/[0303]: acc-top1=40.166667 acc-top5=67.812500 Batch [0199]/[0303]: acc-top1=40.273438 acc-top5=68.085938 Batch [0249]/[0303]: acc-top1=39.981250 acc-top5=67.818750 Batch [0299]/[0303]: acc-top1=40.229167 acc-top5=68.203125 [Epoch 020] training: accuracy=40.511107 loss=2.599767 [Epoch 020] speed: 61 samples/sec time cost: 4240.639257 [Epoch 020] validation: acc-top1=40.186675 acc-top5=68.146658 loss=2.916010 Epoch[021] Batch [0049]/[3760] Speed: 40.705669 samples/sec accuracy=41.781250 loss=2.559312 lr=0.071814 Epoch[021] Batch [0099]/[3760] Speed: 59.660743 samples/sec accuracy=41.640625 loss=2.526632 lr=0.071854 Epoch[021] Batch [0149]/[3760] Speed: 61.301692 samples/sec accuracy=41.614583 loss=2.523175 lr=0.071893 Epoch[021] Batch [0199]/[3760] Speed: 60.430492 samples/sec accuracy=41.390625 loss=2.539169 lr=0.071932 Epoch[021] Batch [0249]/[3760] Speed: 61.774945 samples/sec accuracy=41.500000 loss=2.536657 lr=0.071971 Epoch[021] Batch [0299]/[3760] Speed: 61.353218 samples/sec accuracy=41.484375 loss=2.540257 lr=0.072010 Epoch[021] Batch [0349]/[3760] Speed: 61.634211 samples/sec accuracy=41.419643 loss=2.538438 lr=0.072049 Epoch[021] Batch [0399]/[3760] Speed: 61.415068 samples/sec accuracy=41.476562 loss=2.542510 lr=0.072088 Epoch[021] Batch [0449]/[3760] Speed: 61.815199 samples/sec accuracy=41.465278 loss=2.543534 lr=0.072127 Epoch[021] Batch [0499]/[3760] Speed: 62.037339 samples/sec accuracy=41.375000 loss=2.546827 lr=0.072167 Epoch[021] Batch [0549]/[3760] Speed: 60.914052 samples/sec accuracy=41.255682 loss=2.553351 lr=0.072206 Epoch[021] Batch [0599]/[3760] Speed: 61.558884 samples/sec accuracy=41.239583 loss=2.558362 lr=0.072245 Epoch[021] Batch [0649]/[3760] Speed: 61.533712 samples/sec accuracy=41.336538 loss=2.556958 lr=0.072284 Epoch[021] Batch [0699]/[3760] Speed: 61.784136 samples/sec accuracy=41.214286 loss=2.561150 lr=0.072323 Epoch[021] Batch [0749]/[3760] Speed: 61.693459 samples/sec accuracy=41.175000 loss=2.564884 lr=0.072362 Epoch[021] Batch [0799]/[3760] Speed: 61.772576 samples/sec accuracy=41.132812 loss=2.565978 lr=0.072401 Epoch[021] Batch [0849]/[3760] Speed: 61.393503 samples/sec accuracy=41.036765 loss=2.566854 lr=0.072440 Epoch[021] Batch [0899]/[3760] Speed: 61.212342 samples/sec accuracy=41.013889 loss=2.569132 lr=0.072480 Epoch[021] Batch [0949]/[3760] Speed: 62.055275 samples/sec accuracy=41.032895 loss=2.567636 lr=0.072519 Epoch[021] Batch [0999]/[3760] Speed: 61.497383 samples/sec accuracy=41.093750 loss=2.565481 lr=0.072558 Epoch[021] Batch [1049]/[3760] Speed: 61.636110 samples/sec accuracy=41.066964 loss=2.570037 lr=0.072597 Epoch[021] Batch [1099]/[3760] Speed: 61.434602 samples/sec accuracy=41.008523 loss=2.571723 lr=0.072636 Epoch[021] Batch [1149]/[3760] Speed: 61.626740 samples/sec accuracy=41.032609 loss=2.571840 lr=0.072675 Epoch[021] Batch [1199]/[3760] Speed: 61.826928 samples/sec accuracy=41.020833 loss=2.572636 lr=0.072714 Epoch[021] Batch [1249]/[3760] Speed: 61.096634 samples/sec accuracy=41.036250 loss=2.574049 lr=0.072753 Epoch[021] Batch [1299]/[3760] Speed: 61.904700 samples/sec accuracy=41.018029 loss=2.576680 lr=0.072793 Epoch[021] Batch [1349]/[3760] Speed: 61.449343 samples/sec accuracy=40.920139 loss=2.579126 lr=0.072832 Epoch[021] Batch [1399]/[3760] Speed: 61.391279 samples/sec accuracy=40.931920 loss=2.579845 lr=0.072871 Epoch[021] Batch [1449]/[3760] Speed: 61.803656 samples/sec accuracy=40.934267 loss=2.578514 lr=0.072910 Epoch[021] Batch [1499]/[3760] Speed: 61.357002 samples/sec accuracy=40.909375 loss=2.579782 lr=0.072949 Epoch[021] Batch [1549]/[3760] Speed: 61.767350 samples/sec accuracy=40.889113 loss=2.580185 lr=0.072988 Epoch[021] Batch [1599]/[3760] Speed: 61.315098 samples/sec accuracy=40.891602 loss=2.579776 lr=0.073027 Epoch[021] Batch [1649]/[3760] Speed: 61.866706 samples/sec accuracy=40.886364 loss=2.579433 lr=0.073066 Epoch[021] Batch [1699]/[3760] Speed: 61.679785 samples/sec accuracy=40.864890 loss=2.578559 lr=0.073106 Epoch[021] Batch [1749]/[3760] Speed: 61.712388 samples/sec accuracy=40.853571 loss=2.578182 lr=0.073145 Epoch[021] Batch [1799]/[3760] Speed: 61.182431 samples/sec accuracy=40.806424 loss=2.579583 lr=0.073184 Epoch[021] Batch [1849]/[3760] Speed: 61.881863 samples/sec accuracy=40.817568 loss=2.579226 lr=0.073223 Epoch[021] Batch [1899]/[3760] Speed: 61.548105 samples/sec accuracy=40.802632 loss=2.580087 lr=0.073262 Epoch[021] Batch [1949]/[3760] Speed: 61.357796 samples/sec accuracy=40.766827 loss=2.581656 lr=0.073301 Epoch[021] Batch [1999]/[3760] Speed: 61.853792 samples/sec accuracy=40.767187 loss=2.581432 lr=0.073340 Epoch[021] Batch [2049]/[3760] Speed: 61.987313 samples/sec accuracy=40.777439 loss=2.580800 lr=0.073379 Epoch[021] Batch [2099]/[3760] Speed: 61.775457 samples/sec accuracy=40.789435 loss=2.579955 lr=0.073418 Epoch[021] Batch [2149]/[3760] Speed: 62.130198 samples/sec accuracy=40.757267 loss=2.581880 lr=0.073458 Epoch[021] Batch [2199]/[3760] Speed: 61.555527 samples/sec accuracy=40.738636 loss=2.582564 lr=0.073497 Epoch[021] Batch [2249]/[3760] Speed: 61.430118 samples/sec accuracy=40.735417 loss=2.582616 lr=0.073536 Epoch[021] Batch [2299]/[3760] Speed: 62.383418 samples/sec accuracy=40.749321 loss=2.582391 lr=0.073575 Epoch[021] Batch [2349]/[3760] Speed: 61.732480 samples/sec accuracy=40.722739 loss=2.583856 lr=0.073614 Epoch[021] Batch [2399]/[3760] Speed: 61.419619 samples/sec accuracy=40.684896 loss=2.585457 lr=0.073653 Epoch[021] Batch [2449]/[3760] Speed: 61.687303 samples/sec accuracy=40.665816 loss=2.586931 lr=0.073692 Epoch[021] Batch [2499]/[3760] Speed: 61.985961 samples/sec accuracy=40.695000 loss=2.585962 lr=0.073731 Epoch[021] Batch [2549]/[3760] Speed: 61.971668 samples/sec accuracy=40.708946 loss=2.586419 lr=0.073771 Epoch[021] Batch [2599]/[3760] Speed: 61.699672 samples/sec accuracy=40.692308 loss=2.586692 lr=0.073810 Epoch[021] Batch [2649]/[3760] Speed: 62.124691 samples/sec accuracy=40.685142 loss=2.588318 lr=0.073849 Epoch[021] Batch [2699]/[3760] Speed: 61.676438 samples/sec accuracy=40.697338 loss=2.588129 lr=0.073888 Epoch[021] Batch [2749]/[3760] Speed: 62.311146 samples/sec accuracy=40.698295 loss=2.587673 lr=0.073927 Epoch[021] Batch [2799]/[3760] Speed: 61.646113 samples/sec accuracy=40.687500 loss=2.587690 lr=0.073966 Epoch[021] Batch [2849]/[3760] Speed: 61.672446 samples/sec accuracy=40.675439 loss=2.588545 lr=0.074005 Epoch[021] Batch [2899]/[3760] Speed: 61.770011 samples/sec accuracy=40.637392 loss=2.589932 lr=0.074044 Epoch[021] Batch [2949]/[3760] Speed: 61.884420 samples/sec accuracy=40.637712 loss=2.590555 lr=0.074084 Epoch[021] Batch [2999]/[3760] Speed: 61.647716 samples/sec accuracy=40.631250 loss=2.590560 lr=0.074123 Epoch[021] Batch [3049]/[3760] Speed: 62.050080 samples/sec accuracy=40.623463 loss=2.591027 lr=0.074162 Epoch[021] Batch [3099]/[3760] Speed: 61.822590 samples/sec accuracy=40.636593 loss=2.590274 lr=0.074201 Epoch[021] Batch [3149]/[3760] Speed: 61.560496 samples/sec accuracy=40.611607 loss=2.591146 lr=0.074240 Epoch[021] Batch [3199]/[3760] Speed: 61.662010 samples/sec accuracy=40.616211 loss=2.591182 lr=0.074279 Epoch[021] Batch [3249]/[3760] Speed: 61.840632 samples/sec accuracy=40.618750 loss=2.591303 lr=0.074318 Epoch[021] Batch [3299]/[3760] Speed: 61.757370 samples/sec accuracy=40.606061 loss=2.591914 lr=0.074357 Epoch[021] Batch [3349]/[3760] Speed: 62.113972 samples/sec accuracy=40.622201 loss=2.591933 lr=0.074397 Epoch[021] Batch [3399]/[3760] Speed: 61.378124 samples/sec accuracy=40.617188 loss=2.591442 lr=0.074436 Epoch[021] Batch [3449]/[3760] Speed: 61.727955 samples/sec accuracy=40.611413 loss=2.591442 lr=0.074475 Epoch[021] Batch [3499]/[3760] Speed: 61.406673 samples/sec accuracy=40.602679 loss=2.591346 lr=0.074514 Epoch[021] Batch [3549]/[3760] Speed: 61.747446 samples/sec accuracy=40.608715 loss=2.591633 lr=0.074553 Epoch[021] Batch [3599]/[3760] Speed: 61.244061 samples/sec accuracy=40.599826 loss=2.592382 lr=0.074592 Epoch[021] Batch [3649]/[3760] Speed: 61.880517 samples/sec accuracy=40.610873 loss=2.592333 lr=0.074631 Epoch[021] Batch [3699]/[3760] Speed: 61.598896 samples/sec accuracy=40.585304 loss=2.593632 lr=0.074670 Epoch[021] Batch [3749]/[3760] Speed: 66.721503 samples/sec accuracy=40.582917 loss=2.593755 lr=0.074710 Batch [0049]/[0303]: acc-top1=39.187500 acc-top5=66.843750 Batch [0099]/[0303]: acc-top1=40.265625 acc-top5=67.968750 Batch [0149]/[0303]: acc-top1=40.020833 acc-top5=68.010417 Batch [0199]/[0303]: acc-top1=40.187500 acc-top5=67.875000 Batch [0249]/[0303]: acc-top1=40.168750 acc-top5=67.681250 Batch [0299]/[0303]: acc-top1=40.505208 acc-top5=67.848958 [Epoch 021] training: accuracy=40.587600 loss=2.593763 [Epoch 021] speed: 61 samples/sec time cost: 4229.530685 [Epoch 021] validation: acc-top1=40.454827 acc-top5=67.759901 loss=2.812528 Epoch[022] Batch [0049]/[3760] Speed: 41.491100 samples/sec accuracy=41.000000 loss=2.594566 lr=0.074756 Epoch[022] Batch [0099]/[3760] Speed: 59.732187 samples/sec accuracy=41.484375 loss=2.552973 lr=0.074796 Epoch[022] Batch [0149]/[3760] Speed: 60.954772 samples/sec accuracy=41.437500 loss=2.553980 lr=0.074835 Epoch[022] Batch [0199]/[3760] Speed: 60.212119 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lr=0.075969 Epoch[022] Batch [1649]/[3760] Speed: 62.158340 samples/sec accuracy=40.825758 loss=2.577924 lr=0.076008 Epoch[022] Batch [1699]/[3760] Speed: 61.448952 samples/sec accuracy=40.835478 loss=2.577880 lr=0.076047 Epoch[022] Batch [1749]/[3760] Speed: 61.951199 samples/sec accuracy=40.811607 loss=2.578571 lr=0.076087 Epoch[022] Batch [1799]/[3760] Speed: 61.660575 samples/sec accuracy=40.837674 loss=2.577613 lr=0.076126 Epoch[022] Batch [1849]/[3760] Speed: 62.071641 samples/sec accuracy=40.853041 loss=2.577509 lr=0.076165 Epoch[022] Batch [1899]/[3760] Speed: 61.686983 samples/sec accuracy=40.848684 loss=2.577909 lr=0.076204 Epoch[022] Batch [1949]/[3760] Speed: 62.411580 samples/sec accuracy=40.889423 loss=2.577082 lr=0.076243 Epoch[022] Batch [1999]/[3760] Speed: 61.803307 samples/sec accuracy=40.883594 loss=2.578375 lr=0.076282 Epoch[022] Batch [2049]/[3760] Speed: 61.819923 samples/sec accuracy=40.865854 loss=2.579521 lr=0.076321 Epoch[022] Batch [2099]/[3760] Speed: 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lr=0.076713 Epoch[022] Batch [2599]/[3760] Speed: 61.762205 samples/sec accuracy=40.715144 loss=2.585069 lr=0.076752 Epoch[022] Batch [2649]/[3760] Speed: 61.684129 samples/sec accuracy=40.727594 loss=2.585098 lr=0.076791 Epoch[022] Batch [2699]/[3760] Speed: 61.926695 samples/sec accuracy=40.722222 loss=2.585886 lr=0.076830 Epoch[022] Batch [2749]/[3760] Speed: 61.873359 samples/sec accuracy=40.723864 loss=2.585157 lr=0.076869 Epoch[022] Batch [2799]/[3760] Speed: 61.912139 samples/sec accuracy=40.715960 loss=2.585688 lr=0.076908 Epoch[022] Batch [2849]/[3760] Speed: 62.123246 samples/sec accuracy=40.681469 loss=2.586951 lr=0.076947 Epoch[022] Batch [2899]/[3760] Speed: 61.815151 samples/sec accuracy=40.709052 loss=2.586933 lr=0.076986 Epoch[022] Batch [2949]/[3760] Speed: 62.354531 samples/sec accuracy=40.704449 loss=2.587156 lr=0.077026 Epoch[022] Batch [2999]/[3760] Speed: 61.270056 samples/sec accuracy=40.712500 loss=2.587292 lr=0.077065 Epoch[022] Batch [3049]/[3760] Speed: 61.863464 samples/sec accuracy=40.710553 loss=2.587274 lr=0.077104 Epoch[022] Batch [3099]/[3760] Speed: 62.230649 samples/sec accuracy=40.712702 loss=2.587766 lr=0.077143 Epoch[022] Batch [3149]/[3760] Speed: 61.486214 samples/sec accuracy=40.703869 loss=2.587444 lr=0.077182 Epoch[022] Batch [3199]/[3760] Speed: 62.325240 samples/sec accuracy=40.697266 loss=2.587138 lr=0.077221 Epoch[022] Batch [3249]/[3760] Speed: 62.376386 samples/sec accuracy=40.686538 loss=2.587961 lr=0.077260 Epoch[022] Batch [3299]/[3760] Speed: 61.931468 samples/sec accuracy=40.669981 loss=2.588820 lr=0.077299 Epoch[022] Batch [3349]/[3760] Speed: 61.467945 samples/sec accuracy=40.672575 loss=2.588508 lr=0.077339 Epoch[022] Batch [3399]/[3760] Speed: 62.035575 samples/sec accuracy=40.669577 loss=2.588614 lr=0.077378 Epoch[022] Batch [3449]/[3760] Speed: 61.812379 samples/sec accuracy=40.672101 loss=2.588349 lr=0.077417 Epoch[022] Batch [3499]/[3760] Speed: 62.055422 samples/sec accuracy=40.661161 loss=2.588727 lr=0.077456 Epoch[022] Batch [3549]/[3760] Speed: 61.697536 samples/sec accuracy=40.674736 loss=2.588524 lr=0.077495 Epoch[022] Batch [3599]/[3760] Speed: 61.433566 samples/sec accuracy=40.667535 loss=2.589065 lr=0.077534 Epoch[022] Batch [3649]/[3760] Speed: 61.443951 samples/sec accuracy=40.650257 loss=2.589852 lr=0.077573 Epoch[022] Batch [3699]/[3760] Speed: 61.683517 samples/sec accuracy=40.648649 loss=2.589966 lr=0.077612 Epoch[022] Batch [3749]/[3760] Speed: 67.129177 samples/sec accuracy=40.649583 loss=2.590459 lr=0.077652 Batch [0049]/[0303]: acc-top1=38.468750 acc-top5=67.687500 Batch [0099]/[0303]: acc-top1=39.515625 acc-top5=67.984375 Batch [0149]/[0303]: acc-top1=39.520833 acc-top5=67.593750 Batch [0199]/[0303]: acc-top1=39.796875 acc-top5=67.570312 Batch [0249]/[0303]: acc-top1=39.593750 acc-top5=67.168750 Batch [0299]/[0303]: acc-top1=39.968750 acc-top5=67.416667 [Epoch 022] training: accuracy=40.648687 loss=2.590122 [Epoch 022] speed: 61 samples/sec time cost: 4219.174036 [Epoch 022] validation: acc-top1=39.933993 acc-top5=67.393771 loss=2.830011 Epoch[023] Batch [0049]/[3759] Speed: 41.252997 samples/sec accuracy=40.843750 loss=2.524313 lr=0.077698 Epoch[023] Batch [0099]/[3759] Speed: 59.763299 samples/sec accuracy=41.281250 loss=2.530127 lr=0.077738 Epoch[023] Batch [0149]/[3759] Speed: 61.213225 samples/sec accuracy=41.885417 loss=2.513813 lr=0.077777 Epoch[023] Batch [0199]/[3759] Speed: 60.298183 samples/sec accuracy=42.156250 loss=2.522599 lr=0.077816 Epoch[023] Batch [0249]/[3759] Speed: 61.540058 samples/sec accuracy=41.662500 loss=2.537829 lr=0.077855 Epoch[023] Batch [0299]/[3759] Speed: 60.704827 samples/sec accuracy=41.739583 loss=2.539184 lr=0.077894 Epoch[023] Batch [0349]/[3759] Speed: 62.340410 samples/sec accuracy=41.705357 loss=2.543345 lr=0.077933 Epoch[023] Batch [0399]/[3759] Speed: 60.991322 samples/sec accuracy=41.730469 loss=2.541768 lr=0.077972 Epoch[023] Batch [0449]/[3759] Speed: 62.186444 samples/sec accuracy=41.829861 loss=2.539163 lr=0.078011 Epoch[023] Batch [0499]/[3759] Speed: 61.531372 samples/sec accuracy=41.615625 loss=2.545548 lr=0.078051 Epoch[023] Batch [0549]/[3759] Speed: 61.924970 samples/sec accuracy=41.434659 loss=2.552954 lr=0.078090 Epoch[023] Batch [0599]/[3759] Speed: 62.163286 samples/sec accuracy=41.544271 loss=2.550614 lr=0.078129 Epoch[023] Batch [0649]/[3759] Speed: 61.465884 samples/sec accuracy=41.449519 loss=2.552959 lr=0.078168 Epoch[023] Batch [0699]/[3759] Speed: 61.811865 samples/sec accuracy=41.468750 loss=2.553106 lr=0.078207 Epoch[023] Batch [0749]/[3759] Speed: 61.409041 samples/sec accuracy=41.558333 loss=2.549866 lr=0.078246 Epoch[023] Batch [0799]/[3759] Speed: 62.348833 samples/sec accuracy=41.554688 loss=2.548509 lr=0.078285 Epoch[023] Batch [0849]/[3759] Speed: 61.846568 samples/sec accuracy=41.466912 loss=2.551466 lr=0.078324 Epoch[023] Batch [0899]/[3759] Speed: 62.273414 samples/sec accuracy=41.437500 loss=2.552605 lr=0.078364 Epoch[023] 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accuracy=41.205357 loss=2.564233 lr=0.078755 Epoch[023] Batch [1449]/[3759] Speed: 61.350974 samples/sec accuracy=41.216595 loss=2.566433 lr=0.078794 Epoch[023] Batch [1499]/[3759] Speed: 61.350539 samples/sec accuracy=41.127083 loss=2.567920 lr=0.078833 Epoch[023] Batch [1549]/[3759] Speed: 61.770922 samples/sec accuracy=41.126008 loss=2.569196 lr=0.078872 Epoch[023] Batch [1599]/[3759] Speed: 61.073100 samples/sec accuracy=41.071289 loss=2.570903 lr=0.078911 Epoch[023] Batch [1649]/[3759] Speed: 61.927550 samples/sec accuracy=41.036932 loss=2.571184 lr=0.078950 Epoch[023] Batch [1699]/[3759] Speed: 61.238931 samples/sec accuracy=41.056066 loss=2.568953 lr=0.078989 Epoch[023] Batch [1749]/[3759] Speed: 61.913767 samples/sec accuracy=41.013393 loss=2.570920 lr=0.079029 Epoch[023] Batch [1799]/[3759] Speed: 61.359189 samples/sec accuracy=41.016493 loss=2.570469 lr=0.079068 Epoch[023] Batch [1849]/[3759] Speed: 62.021303 samples/sec accuracy=41.028716 loss=2.570206 lr=0.079107 Epoch[023] 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[0049]/[0303]: acc-top1=38.718750 acc-top5=66.343750 Batch [0099]/[0303]: acc-top1=39.906250 acc-top5=67.546875 Batch [0149]/[0303]: acc-top1=39.781250 acc-top5=67.885417 Batch [0199]/[0303]: acc-top1=40.023438 acc-top5=67.882812 Batch [0249]/[0303]: acc-top1=39.956250 acc-top5=67.781250 Batch [0299]/[0303]: acc-top1=40.213542 acc-top5=68.010417 [Epoch 023] training: accuracy=40.787942 loss=2.582327 [Epoch 023] speed: 61 samples/sec time cost: 4219.200028 [Epoch 023] validation: acc-top1=40.181518 acc-top5=67.997112 loss=2.768357 Epoch[024] Batch [0049]/[3760] Speed: 41.133214 samples/sec accuracy=41.031250 loss=2.549211 lr=0.080640 Epoch[024] Batch [0099]/[3760] Speed: 59.838692 samples/sec accuracy=40.953125 loss=2.554313 lr=0.080679 Epoch[024] Batch [0149]/[3760] Speed: 61.148197 samples/sec accuracy=41.312500 loss=2.541587 lr=0.080718 Epoch[024] Batch [0199]/[3760] Speed: 60.650829 samples/sec accuracy=41.429688 loss=2.527482 lr=0.080757 Epoch[024] Batch [0249]/[3760] Speed: 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lr=0.082635 Epoch[024] Batch [2649]/[3760] Speed: 62.108121 samples/sec accuracy=41.086085 loss=2.574719 lr=0.082674 Epoch[024] Batch [2699]/[3760] Speed: 61.806399 samples/sec accuracy=41.083912 loss=2.574119 lr=0.082713 Epoch[024] Batch [2749]/[3760] Speed: 61.775967 samples/sec accuracy=41.097727 loss=2.574052 lr=0.082752 Epoch[024] Batch [2799]/[3760] Speed: 62.136169 samples/sec accuracy=41.064174 loss=2.575725 lr=0.082791 Epoch[024] Batch [2849]/[3760] Speed: 62.054832 samples/sec accuracy=41.058114 loss=2.575089 lr=0.082830 Epoch[024] Batch [2899]/[3760] Speed: 61.857785 samples/sec accuracy=41.066810 loss=2.574714 lr=0.082870 Epoch[024] Batch [2949]/[3760] Speed: 62.045208 samples/sec accuracy=41.052966 loss=2.575676 lr=0.082909 Epoch[024] Batch [2999]/[3760] Speed: 61.820844 samples/sec accuracy=41.048437 loss=2.576504 lr=0.082948 Epoch[024] Batch [3049]/[3760] Speed: 61.973342 samples/sec accuracy=41.054303 loss=2.576244 lr=0.082987 Epoch[024] Batch [3099]/[3760] Speed: 61.278391 samples/sec accuracy=41.033770 loss=2.577717 lr=0.083026 Epoch[024] Batch [3149]/[3760] Speed: 61.583699 samples/sec accuracy=41.049603 loss=2.577708 lr=0.083065 Epoch[024] Batch [3199]/[3760] Speed: 61.491027 samples/sec accuracy=41.040039 loss=2.578547 lr=0.083104 Epoch[024] Batch [3249]/[3760] Speed: 62.122161 samples/sec accuracy=41.027404 loss=2.578729 lr=0.083143 Epoch[024] Batch [3299]/[3760] Speed: 61.934992 samples/sec accuracy=41.029356 loss=2.578144 lr=0.083183 Epoch[024] Batch [3349]/[3760] Speed: 61.647977 samples/sec accuracy=41.040112 loss=2.577639 lr=0.083222 Epoch[024] Batch [3399]/[3760] Speed: 61.785512 samples/sec accuracy=41.018382 loss=2.577636 lr=0.083261 Epoch[024] Batch [3449]/[3760] Speed: 61.764336 samples/sec accuracy=41.001359 loss=2.578699 lr=0.083300 Epoch[024] Batch [3499]/[3760] Speed: 61.994938 samples/sec accuracy=40.983036 loss=2.579380 lr=0.083339 Epoch[024] Batch [3549]/[3760] Speed: 61.851744 samples/sec accuracy=40.995158 loss=2.579705 lr=0.083378 Epoch[024] Batch [3599]/[3760] Speed: 61.784250 samples/sec accuracy=40.991319 loss=2.580381 lr=0.083417 Epoch[024] Batch [3649]/[3760] Speed: 61.530723 samples/sec accuracy=40.988870 loss=2.580055 lr=0.083456 Epoch[024] Batch [3699]/[3760] Speed: 61.822913 samples/sec accuracy=40.994088 loss=2.580030 lr=0.083496 Epoch[024] Batch [3749]/[3760] Speed: 66.846555 samples/sec accuracy=40.982500 loss=2.580465 lr=0.083535 Batch [0049]/[0303]: acc-top1=39.593750 acc-top5=66.656250 Batch [0099]/[0303]: acc-top1=40.890625 acc-top5=68.234375 Batch [0149]/[0303]: acc-top1=40.812500 acc-top5=68.239583 Batch [0199]/[0303]: acc-top1=40.882812 acc-top5=68.304688 Batch [0249]/[0303]: acc-top1=40.581250 acc-top5=67.918750 Batch [0299]/[0303]: acc-top1=40.755208 acc-top5=68.119792 [Epoch 024] training: accuracy=40.976562 loss=2.580523 [Epoch 024] speed: 61 samples/sec time cost: 4210.611037 [Epoch 024] validation: acc-top1=40.738449 acc-top5=68.074464 loss=2.800982 Epoch[025] Batch 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accuracy=41.296875 loss=2.563016 lr=0.083934 Epoch[025] Batch [0549]/[3760] Speed: 62.078727 samples/sec accuracy=41.335227 loss=2.557989 lr=0.083973 Epoch[025] Batch [0599]/[3760] Speed: 61.338583 samples/sec accuracy=41.421875 loss=2.554132 lr=0.084012 Epoch[025] Batch [0649]/[3760] Speed: 61.499445 samples/sec accuracy=41.310096 loss=2.557941 lr=0.084051 Epoch[025] Batch [0699]/[3760] Speed: 61.829002 samples/sec accuracy=41.270089 loss=2.560364 lr=0.084090 Epoch[025] Batch [0749]/[3760] Speed: 61.839389 samples/sec accuracy=41.320833 loss=2.559340 lr=0.084129 Epoch[025] Batch [0799]/[3760] Speed: 62.000203 samples/sec accuracy=41.263672 loss=2.562539 lr=0.084168 Epoch[025] Batch [0849]/[3760] Speed: 61.758064 samples/sec accuracy=41.251838 loss=2.562175 lr=0.084208 Epoch[025] Batch [0899]/[3760] Speed: 61.899286 samples/sec accuracy=41.255208 loss=2.561701 lr=0.084247 Epoch[025] Batch [0949]/[3760] Speed: 61.701413 samples/sec accuracy=41.271382 loss=2.561763 lr=0.084286 Epoch[025] 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accuracy=41.043620 loss=2.572421 lr=0.085420 Epoch[025] Batch [2449]/[3760] Speed: 61.592073 samples/sec accuracy=41.007015 loss=2.574769 lr=0.085459 Epoch[025] Batch [2499]/[3760] Speed: 62.246957 samples/sec accuracy=41.030625 loss=2.575061 lr=0.085499 Epoch[025] Batch [2549]/[3760] Speed: 61.267692 samples/sec accuracy=41.030025 loss=2.574844 lr=0.085538 Epoch[025] Batch [2599]/[3760] Speed: 62.436123 samples/sec accuracy=41.000000 loss=2.576050 lr=0.085577 Epoch[025] Batch [2649]/[3760] Speed: 61.216297 samples/sec accuracy=40.972877 loss=2.576719 lr=0.085616 Epoch[025] Batch [2699]/[3760] Speed: 61.934130 samples/sec accuracy=40.958333 loss=2.578555 lr=0.085655 Epoch[025] Batch [2749]/[3760] Speed: 61.992589 samples/sec accuracy=40.938636 loss=2.579072 lr=0.085694 Epoch[025] Batch [2799]/[3760] Speed: 61.682418 samples/sec accuracy=40.938058 loss=2.578949 lr=0.085733 Epoch[025] Batch [2849]/[3760] Speed: 62.150536 samples/sec accuracy=40.947917 loss=2.578489 lr=0.085772 Epoch[025] 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accuracy=40.940765 loss=2.581724 lr=0.086164 Epoch[025] Batch [3399]/[3760] Speed: 62.132989 samples/sec accuracy=40.938419 loss=2.581756 lr=0.086203 Epoch[025] Batch [3449]/[3760] Speed: 61.828500 samples/sec accuracy=40.914402 loss=2.582555 lr=0.086242 Epoch[025] Batch [3499]/[3760] Speed: 61.840127 samples/sec accuracy=40.906250 loss=2.582912 lr=0.086281 Epoch[025] Batch [3549]/[3760] Speed: 62.253545 samples/sec accuracy=40.903609 loss=2.583186 lr=0.086320 Epoch[025] Batch [3599]/[3760] Speed: 61.875518 samples/sec accuracy=40.908420 loss=2.583248 lr=0.086359 Epoch[025] Batch [3649]/[3760] Speed: 61.619001 samples/sec accuracy=40.904538 loss=2.583097 lr=0.086398 Epoch[025] Batch [3699]/[3760] Speed: 61.564857 samples/sec accuracy=40.901605 loss=2.582950 lr=0.086438 Epoch[025] Batch [3749]/[3760] Speed: 67.243211 samples/sec accuracy=40.906667 loss=2.582375 lr=0.086477 Batch [0049]/[0303]: acc-top1=40.218750 acc-top5=67.875000 Batch [0099]/[0303]: acc-top1=41.062500 acc-top5=69.171875 Batch [0149]/[0303]: acc-top1=40.708333 acc-top5=69.031250 Batch [0199]/[0303]: acc-top1=40.820312 acc-top5=68.937500 Batch [0249]/[0303]: acc-top1=40.712500 acc-top5=68.818750 Batch [0299]/[0303]: acc-top1=41.140625 acc-top5=69.208333 [Epoch 025] training: accuracy=40.902593 loss=2.582631 [Epoch 025] speed: 61 samples/sec time cost: 4215.410534 [Epoch 025] validation: acc-top1=41.150990 acc-top5=69.136757 loss=2.681121 Epoch[026] Batch [0049]/[3759] Speed: 41.160487 samples/sec accuracy=40.906250 loss=2.580754 lr=0.086524 Epoch[026] Batch [0099]/[3759] Speed: 59.528417 samples/sec accuracy=41.671875 loss=2.531584 lr=0.086563 Epoch[026] Batch [0149]/[3759] Speed: 61.156661 samples/sec accuracy=40.947917 loss=2.555360 lr=0.086602 Epoch[026] Batch [0199]/[3759] Speed: 60.631496 samples/sec accuracy=40.898438 loss=2.545312 lr=0.086641 Epoch[026] Batch [0249]/[3759] Speed: 61.942823 samples/sec accuracy=40.487500 loss=2.559946 lr=0.086680 Epoch[026] Batch [0299]/[3759] 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loss=2.548556 lr=0.087071 Epoch[026] Batch [0799]/[3759] Speed: 61.695214 samples/sec accuracy=41.216797 loss=2.549062 lr=0.087110 Epoch[026] Batch [0849]/[3759] Speed: 61.457312 samples/sec accuracy=41.180147 loss=2.553905 lr=0.087150 Epoch[026] Batch [0899]/[3759] Speed: 62.299686 samples/sec accuracy=41.102431 loss=2.556825 lr=0.087189 Epoch[026] Batch [0949]/[3759] Speed: 61.549828 samples/sec accuracy=41.093750 loss=2.558701 lr=0.087228 Epoch[026] Batch [0999]/[3759] Speed: 61.701355 samples/sec accuracy=41.070312 loss=2.558024 lr=0.087267 Epoch[026] Batch [1049]/[3759] Speed: 61.861615 samples/sec accuracy=41.023810 loss=2.560018 lr=0.087306 Epoch[026] Batch [1099]/[3759] Speed: 61.944708 samples/sec accuracy=41.007102 loss=2.560158 lr=0.087345 Epoch[026] Batch [1149]/[3759] Speed: 61.740252 samples/sec accuracy=41.043478 loss=2.560154 lr=0.087384 Epoch[026] Batch [1199]/[3759] Speed: 62.362583 samples/sec accuracy=40.963542 loss=2.564320 lr=0.087423 Epoch[026] Batch 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accuracy=40.941176 loss=2.571838 lr=0.087815 Epoch[026] Batch [1749]/[3759] Speed: 62.012915 samples/sec accuracy=40.933036 loss=2.571854 lr=0.087854 Epoch[026] Batch [1799]/[3759] Speed: 61.698904 samples/sec accuracy=40.964410 loss=2.571670 lr=0.087893 Epoch[026] Batch [1849]/[3759] Speed: 61.980100 samples/sec accuracy=40.978885 loss=2.572251 lr=0.087932 Epoch[026] Batch [1899]/[3759] Speed: 61.426090 samples/sec accuracy=41.021382 loss=2.570388 lr=0.087971 Epoch[026] Batch [1949]/[3759] Speed: 62.058112 samples/sec accuracy=41.017628 loss=2.570534 lr=0.088010 Epoch[026] Batch [1999]/[3759] Speed: 61.732552 samples/sec accuracy=41.035156 loss=2.569807 lr=0.088049 Epoch[026] Batch [2049]/[3759] Speed: 61.633745 samples/sec accuracy=41.051067 loss=2.568917 lr=0.088088 Epoch[026] Batch [2099]/[3759] Speed: 62.235224 samples/sec accuracy=41.022321 loss=2.571009 lr=0.088128 Epoch[026] Batch [2149]/[3759] Speed: 61.991603 samples/sec accuracy=41.051599 loss=2.570348 lr=0.088167 Epoch[026] 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accuracy=41.022995 loss=2.573775 lr=0.088558 Epoch[026] Batch [2699]/[3759] Speed: 61.928362 samples/sec accuracy=41.038773 loss=2.573325 lr=0.088597 Epoch[026] Batch [2749]/[3759] Speed: 61.504358 samples/sec accuracy=41.021591 loss=2.573795 lr=0.088636 Epoch[026] Batch [2799]/[3759] Speed: 62.131047 samples/sec accuracy=41.006696 loss=2.574644 lr=0.088675 Epoch[026] Batch [2849]/[3759] Speed: 61.488581 samples/sec accuracy=41.000000 loss=2.574947 lr=0.088714 Epoch[026] Batch [2899]/[3759] Speed: 61.999489 samples/sec accuracy=40.980603 loss=2.576042 lr=0.088754 Epoch[026] Batch [2949]/[3759] Speed: 62.156879 samples/sec accuracy=40.998941 loss=2.575381 lr=0.088793 Epoch[026] Batch [2999]/[3759] Speed: 61.472496 samples/sec accuracy=40.976042 loss=2.576270 lr=0.088832 Epoch[026] Batch [3049]/[3759] Speed: 61.837180 samples/sec accuracy=40.963627 loss=2.576073 lr=0.088871 Epoch[026] Batch [3099]/[3759] Speed: 61.801950 samples/sec accuracy=40.975806 loss=2.575995 lr=0.088910 Epoch[026] Batch [3149]/[3759] Speed: 61.660477 samples/sec accuracy=40.995040 loss=2.575632 lr=0.088949 Epoch[026] Batch [3199]/[3759] Speed: 61.863282 samples/sec accuracy=40.987793 loss=2.576331 lr=0.088988 Epoch[026] Batch [3249]/[3759] Speed: 61.432890 samples/sec accuracy=40.975000 loss=2.577280 lr=0.089027 Epoch[026] Batch [3299]/[3759] Speed: 62.554721 samples/sec accuracy=40.937973 loss=2.578419 lr=0.089067 Epoch[026] Batch [3349]/[3759] Speed: 62.042421 samples/sec accuracy=40.936101 loss=2.578673 lr=0.089106 Epoch[026] Batch [3399]/[3759] Speed: 61.642500 samples/sec accuracy=40.959099 loss=2.578212 lr=0.089145 Epoch[026] Batch [3449]/[3759] Speed: 61.299543 samples/sec accuracy=40.953351 loss=2.579265 lr=0.089184 Epoch[026] Batch [3499]/[3759] Speed: 62.139316 samples/sec accuracy=40.956250 loss=2.579423 lr=0.089223 Epoch[026] Batch [3549]/[3759] Speed: 61.483873 samples/sec accuracy=40.943662 loss=2.579419 lr=0.089262 Epoch[026] Batch [3599]/[3759] Speed: 61.659982 samples/sec accuracy=40.923177 loss=2.580142 lr=0.089301 Epoch[026] Batch [3649]/[3759] Speed: 61.783205 samples/sec accuracy=40.916952 loss=2.580339 lr=0.089340 Epoch[026] Batch [3699]/[3759] Speed: 61.953150 samples/sec accuracy=40.901182 loss=2.580853 lr=0.089380 Epoch[026] Batch [3749]/[3759] Speed: 67.308367 samples/sec accuracy=40.912500 loss=2.580241 lr=0.089419 Batch [0049]/[0303]: acc-top1=38.968750 acc-top5=66.812500 Batch [0099]/[0303]: acc-top1=40.234375 acc-top5=67.781250 Batch [0149]/[0303]: acc-top1=39.885417 acc-top5=67.427083 Batch [0199]/[0303]: acc-top1=40.007812 acc-top5=67.367188 Batch [0249]/[0303]: acc-top1=39.718750 acc-top5=67.237500 Batch [0299]/[0303]: acc-top1=39.921875 acc-top5=67.489583 [Epoch 026] training: accuracy=40.918878 loss=2.580081 [Epoch 026] speed: 61 samples/sec time cost: 4212.400112 [Epoch 026] validation: acc-top1=39.923680 acc-top5=67.445338 loss=2.787960 Epoch[027] Batch [0049]/[3760] Speed: 40.757376 samples/sec accuracy=42.093750 loss=2.523729 lr=0.089465 Epoch[027] Batch [0099]/[3760] Speed: 60.325016 samples/sec accuracy=42.031250 loss=2.518585 lr=0.089504 Epoch[027] Batch [0149]/[3760] Speed: 61.678422 samples/sec accuracy=41.854167 loss=2.527395 lr=0.089543 Epoch[027] Batch [0199]/[3760] Speed: 60.347081 samples/sec accuracy=41.664062 loss=2.534980 lr=0.089582 Epoch[027] Batch [0249]/[3760] Speed: 61.410180 samples/sec accuracy=41.568750 loss=2.533363 lr=0.089621 Epoch[027] Batch [0299]/[3760] Speed: 60.840871 samples/sec accuracy=41.661458 loss=2.538152 lr=0.089660 Epoch[027] Batch [0349]/[3760] Speed: 61.870503 samples/sec accuracy=41.473214 loss=2.548683 lr=0.089700 Epoch[027] Batch [0399]/[3760] Speed: 60.427488 samples/sec accuracy=41.671875 loss=2.542561 lr=0.089739 Epoch[027] Batch [0449]/[3760] Speed: 62.508232 samples/sec accuracy=41.524306 loss=2.549492 lr=0.089778 Epoch[027] Batch [0499]/[3760] Speed: 61.407747 samples/sec accuracy=41.512500 loss=2.550130 lr=0.089817 Epoch[027] Batch [0549]/[3760] Speed: 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lr=0.090951 Epoch[027] Batch [1999]/[3760] Speed: 61.430956 samples/sec accuracy=41.046094 loss=2.568254 lr=0.090991 Epoch[027] Batch [2049]/[3760] Speed: 61.856803 samples/sec accuracy=41.009909 loss=2.569975 lr=0.091030 Epoch[027] Batch [2099]/[3760] Speed: 61.696075 samples/sec accuracy=40.985119 loss=2.571184 lr=0.091069 Epoch[027] Batch [2149]/[3760] Speed: 62.056959 samples/sec accuracy=40.996366 loss=2.570377 lr=0.091108 Epoch[027] Batch [2199]/[3760] Speed: 61.957506 samples/sec accuracy=41.024858 loss=2.570575 lr=0.091147 Epoch[027] Batch [2249]/[3760] Speed: 62.146279 samples/sec accuracy=40.994444 loss=2.571555 lr=0.091186 Epoch[027] Batch [2299]/[3760] Speed: 61.735844 samples/sec accuracy=41.044837 loss=2.569927 lr=0.091225 Epoch[027] Batch [2349]/[3760] Speed: 62.118857 samples/sec accuracy=41.037899 loss=2.570427 lr=0.091264 Epoch[027] Batch [2399]/[3760] Speed: 61.354471 samples/sec accuracy=41.025391 loss=2.570469 lr=0.091304 Epoch[027] Batch [2449]/[3760] Speed: 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lr=0.091695 Epoch[027] Batch [2949]/[3760] Speed: 61.953740 samples/sec accuracy=40.908369 loss=2.578084 lr=0.091734 Epoch[027] Batch [2999]/[3760] Speed: 61.817280 samples/sec accuracy=40.915104 loss=2.577651 lr=0.091773 Epoch[027] Batch [3049]/[3760] Speed: 62.438879 samples/sec accuracy=40.910348 loss=2.577712 lr=0.091812 Epoch[027] Batch [3099]/[3760] Speed: 62.128125 samples/sec accuracy=40.900202 loss=2.577827 lr=0.091851 Epoch[027] Batch [3149]/[3760] Speed: 62.170881 samples/sec accuracy=40.898810 loss=2.577575 lr=0.091890 Epoch[027] Batch [3199]/[3760] Speed: 61.513876 samples/sec accuracy=40.873535 loss=2.578138 lr=0.091930 Epoch[027] Batch [3249]/[3760] Speed: 61.641962 samples/sec accuracy=40.890385 loss=2.577895 lr=0.091969 Epoch[027] Batch [3299]/[3760] Speed: 60.840656 samples/sec accuracy=40.884470 loss=2.577862 lr=0.092008 Epoch[027] Batch [3349]/[3760] Speed: 62.012358 samples/sec accuracy=40.896455 loss=2.578251 lr=0.092047 Epoch[027] Batch [3399]/[3760] Speed: 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acc-top1=39.976562 acc-top5=67.695312 Batch [0249]/[0303]: acc-top1=39.737500 acc-top5=67.468750 Batch [0299]/[0303]: acc-top1=40.083333 acc-top5=67.932292 [Epoch 027] training: accuracy=40.848155 loss=2.581185 [Epoch 027] speed: 61 samples/sec time cost: 4213.462394 [Epoch 027] validation: acc-top1=40.052599 acc-top5=67.899134 loss=2.745153 Epoch[028] Batch [0049]/[3760] Speed: 40.895347 samples/sec accuracy=42.312500 loss=2.530653 lr=0.092407 Epoch[028] Batch [0099]/[3760] Speed: 59.701504 samples/sec accuracy=41.890625 loss=2.536053 lr=0.092446 Epoch[028] Batch [0149]/[3760] Speed: 60.890726 samples/sec accuracy=42.000000 loss=2.533263 lr=0.092485 Epoch[028] Batch [0199]/[3760] Speed: 59.970895 samples/sec accuracy=41.632812 loss=2.546850 lr=0.092524 Epoch[028] Batch [0249]/[3760] Speed: 61.941311 samples/sec accuracy=41.550000 loss=2.549424 lr=0.092563 Epoch[028] Batch [0299]/[3760] Speed: 61.004639 samples/sec accuracy=41.354167 loss=2.551167 lr=0.092602 Epoch[028] Batch 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accuracy=41.101562 loss=2.564700 lr=0.092994 Epoch[028] Batch [0849]/[3760] Speed: 61.316353 samples/sec accuracy=41.150735 loss=2.565227 lr=0.093033 Epoch[028] Batch [0899]/[3760] Speed: 61.780432 samples/sec accuracy=41.116319 loss=2.567428 lr=0.093072 Epoch[028] Batch [0949]/[3760] Speed: 61.080673 samples/sec accuracy=41.103618 loss=2.567506 lr=0.093111 Epoch[028] Batch [0999]/[3760] Speed: 62.021624 samples/sec accuracy=40.998438 loss=2.572890 lr=0.093150 Epoch[028] Batch [1049]/[3760] Speed: 62.263297 samples/sec accuracy=40.977679 loss=2.571949 lr=0.093189 Epoch[028] Batch [1099]/[3760] Speed: 61.761063 samples/sec accuracy=40.980114 loss=2.572782 lr=0.093228 Epoch[028] Batch [1149]/[3760] Speed: 62.124803 samples/sec accuracy=41.010870 loss=2.572280 lr=0.093267 Epoch[028] Batch [1199]/[3760] Speed: 61.521350 samples/sec accuracy=40.944010 loss=2.574946 lr=0.093307 Epoch[028] Batch [1249]/[3760] Speed: 62.038639 samples/sec accuracy=40.957500 loss=2.576578 lr=0.093346 Epoch[028] 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accuracy=40.943750 loss=2.578391 lr=0.093737 Epoch[028] Batch [1799]/[3760] Speed: 61.898506 samples/sec accuracy=40.914931 loss=2.579423 lr=0.093776 Epoch[028] Batch [1849]/[3760] Speed: 62.480084 samples/sec accuracy=40.926520 loss=2.580062 lr=0.093815 Epoch[028] Batch [1899]/[3760] Speed: 61.961648 samples/sec accuracy=40.895559 loss=2.581075 lr=0.093854 Epoch[028] Batch [1949]/[3760] Speed: 61.932796 samples/sec accuracy=40.913462 loss=2.580201 lr=0.093893 Epoch[028] Batch [1999]/[3760] Speed: 62.098487 samples/sec accuracy=40.837500 loss=2.581960 lr=0.093933 Epoch[028] Batch [2049]/[3760] Speed: 60.856597 samples/sec accuracy=40.830793 loss=2.582084 lr=0.093972 Epoch[028] Batch [2099]/[3760] Speed: 62.342800 samples/sec accuracy=40.843750 loss=2.582627 lr=0.094011 Epoch[028] Batch [2149]/[3760] Speed: 60.656780 samples/sec accuracy=40.843023 loss=2.582499 lr=0.094050 Epoch[028] Batch [2199]/[3760] Speed: 62.142870 samples/sec accuracy=40.845170 loss=2.582645 lr=0.094089 Epoch[028] 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accuracy=40.818866 loss=2.586017 lr=0.094480 Epoch[028] Batch [2749]/[3760] Speed: 62.002707 samples/sec accuracy=40.790341 loss=2.587465 lr=0.094519 Epoch[028] Batch [2799]/[3760] Speed: 61.360620 samples/sec accuracy=40.795759 loss=2.587416 lr=0.094559 Epoch[028] Batch [2849]/[3760] Speed: 61.967846 samples/sec accuracy=40.792215 loss=2.587709 lr=0.094598 Epoch[028] Batch [2899]/[3760] Speed: 61.761045 samples/sec accuracy=40.780172 loss=2.588402 lr=0.094637 Epoch[028] Batch [2949]/[3760] Speed: 62.107349 samples/sec accuracy=40.764301 loss=2.588646 lr=0.094676 Epoch[028] Batch [2999]/[3760] Speed: 61.252475 samples/sec accuracy=40.753125 loss=2.589236 lr=0.094715 Epoch[028] Batch [3049]/[3760] Speed: 62.111491 samples/sec accuracy=40.740779 loss=2.589970 lr=0.094754 Epoch[028] Batch [3099]/[3760] Speed: 61.684338 samples/sec accuracy=40.739415 loss=2.590210 lr=0.094793 Epoch[028] Batch [3149]/[3760] Speed: 61.786899 samples/sec accuracy=40.743552 loss=2.589981 lr=0.094832 Epoch[028] Batch [3199]/[3760] Speed: 61.494723 samples/sec accuracy=40.748535 loss=2.590086 lr=0.094871 Epoch[028] Batch [3249]/[3760] Speed: 62.041502 samples/sec accuracy=40.760096 loss=2.590077 lr=0.094911 Epoch[028] Batch [3299]/[3760] Speed: 61.437557 samples/sec accuracy=40.750000 loss=2.590621 lr=0.094950 Epoch[028] Batch [3349]/[3760] Speed: 61.951820 samples/sec accuracy=40.752799 loss=2.590654 lr=0.094989 Epoch[028] Batch [3399]/[3760] Speed: 61.833209 samples/sec accuracy=40.747702 loss=2.590976 lr=0.095028 Epoch[028] Batch [3449]/[3760] Speed: 62.255356 samples/sec accuracy=40.746830 loss=2.591166 lr=0.095067 Epoch[028] Batch [3499]/[3760] Speed: 61.837298 samples/sec accuracy=40.737500 loss=2.591494 lr=0.095106 Epoch[028] Batch [3549]/[3760] Speed: 61.659591 samples/sec accuracy=40.745158 loss=2.591408 lr=0.095145 Epoch[028] Batch [3599]/[3760] Speed: 61.891655 samples/sec accuracy=40.722222 loss=2.592221 lr=0.095184 Epoch[028] Batch [3649]/[3760] Speed: 61.759559 samples/sec accuracy=40.712757 loss=2.592377 lr=0.095224 Epoch[028] Batch [3699]/[3760] Speed: 62.604072 samples/sec accuracy=40.710304 loss=2.592341 lr=0.095263 Epoch[028] Batch [3749]/[3760] Speed: 66.884123 samples/sec accuracy=40.695833 loss=2.592791 lr=0.095302 Batch [0049]/[0303]: acc-top1=39.750000 acc-top5=67.375000 Batch [0099]/[0303]: acc-top1=40.250000 acc-top5=67.953125 Batch [0149]/[0303]: acc-top1=40.312500 acc-top5=68.177083 Batch [0199]/[0303]: acc-top1=40.312500 acc-top5=68.210938 Batch [0249]/[0303]: acc-top1=40.293750 acc-top5=68.162500 Batch [0299]/[0303]: acc-top1=40.604167 acc-top5=68.312500 [Epoch 028] training: accuracy=40.701047 loss=2.592750 [Epoch 028] speed: 61 samples/sec time cost: 4222.374170 [Epoch 028] validation: acc-top1=40.588903 acc-top5=68.270421 loss=2.834314 Epoch[029] Batch [0049]/[3759] Speed: 40.622635 samples/sec accuracy=41.968750 loss=2.579276 lr=0.095349 Epoch[029] Batch [0099]/[3759] Speed: 58.882177 samples/sec accuracy=41.546875 loss=2.566463 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[0299]/[0303]: acc-top1=38.979167 acc-top5=67.140625 [Epoch 029] training: accuracy=40.683609 loss=2.596937 [Epoch 029] speed: 61 samples/sec time cost: 4211.980223 [Epoch 029] validation: acc-top1=38.943894 acc-top5=67.115305 loss=2.986756 Epoch[030] Batch [0049]/[3760] Speed: 41.292106 samples/sec accuracy=40.906250 loss=2.592289 lr=0.098290 Epoch[030] Batch [0099]/[3760] Speed: 60.411132 samples/sec accuracy=40.687500 loss=2.576231 lr=0.098329 Epoch[030] Batch [0149]/[3760] Speed: 60.901596 samples/sec accuracy=40.822917 loss=2.581130 lr=0.098368 Epoch[030] Batch [0199]/[3760] Speed: 60.717618 samples/sec accuracy=41.000000 loss=2.578425 lr=0.098407 Epoch[030] Batch [0249]/[3760] Speed: 61.723908 samples/sec accuracy=41.000000 loss=2.584652 lr=0.098446 Epoch[030] Batch [0299]/[3760] Speed: 61.719891 samples/sec accuracy=40.885417 loss=2.587186 lr=0.098486 Epoch[030] Batch [0349]/[3760] Speed: 61.723343 samples/sec accuracy=40.946429 loss=2.582312 lr=0.098525 Epoch[030] Batch 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accuracy=40.810662 loss=2.582295 lr=0.098916 Epoch[030] Batch [0899]/[3760] Speed: 61.813032 samples/sec accuracy=40.831597 loss=2.585411 lr=0.098955 Epoch[030] Batch [0949]/[3760] Speed: 62.473772 samples/sec accuracy=40.812500 loss=2.585636 lr=0.098994 Epoch[030] Batch [0999]/[3760] Speed: 61.837614 samples/sec accuracy=40.750000 loss=2.586951 lr=0.099033 Epoch[030] Batch [1049]/[3760] Speed: 61.902276 samples/sec accuracy=40.699405 loss=2.588353 lr=0.099072 Epoch[030] Batch [1099]/[3760] Speed: 61.884307 samples/sec accuracy=40.683239 loss=2.588893 lr=0.099112 Epoch[030] Batch [1149]/[3760] Speed: 61.662907 samples/sec accuracy=40.718750 loss=2.588100 lr=0.099151 Epoch[030] Batch [1199]/[3760] Speed: 62.213050 samples/sec accuracy=40.733073 loss=2.587267 lr=0.099190 Epoch[030] Batch [1249]/[3760] Speed: 62.158277 samples/sec accuracy=40.745000 loss=2.586748 lr=0.099229 Epoch[030] Batch [1299]/[3760] Speed: 61.614033 samples/sec accuracy=40.713942 loss=2.587432 lr=0.099268 Epoch[030] 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accuracy=40.687500 loss=2.587332 lr=0.099659 Epoch[030] Batch [1849]/[3760] Speed: 62.409454 samples/sec accuracy=40.649493 loss=2.589170 lr=0.099698 Epoch[030] Batch [1899]/[3760] Speed: 61.674427 samples/sec accuracy=40.652138 loss=2.590232 lr=0.099737 Epoch[030] Batch [1949]/[3760] Speed: 62.162820 samples/sec accuracy=40.661859 loss=2.591548 lr=0.099777 Epoch[030] Batch [1999]/[3760] Speed: 61.851092 samples/sec accuracy=40.680469 loss=2.590303 lr=0.099816 Epoch[030] Batch [2049]/[3760] Speed: 61.509048 samples/sec accuracy=40.694360 loss=2.589705 lr=0.099855 Epoch[030] Batch [2099]/[3760] Speed: 61.652511 samples/sec accuracy=40.688988 loss=2.589962 lr=0.099894 Epoch[030] Batch [2149]/[3760] Speed: 62.047175 samples/sec accuracy=40.640988 loss=2.590594 lr=0.099933 Epoch[030] Batch [2199]/[3760] Speed: 61.659288 samples/sec accuracy=40.644176 loss=2.591033 lr=0.099972 Epoch[030] Batch [2249]/[3760] Speed: 62.277918 samples/sec accuracy=40.635417 loss=2.590473 lr=0.100011 Epoch[030] 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accuracy=40.619318 loss=2.594534 lr=0.100403 Epoch[030] Batch [2799]/[3760] Speed: 61.821263 samples/sec accuracy=40.633371 loss=2.594086 lr=0.100442 Epoch[030] Batch [2849]/[3760] Speed: 61.405124 samples/sec accuracy=40.646382 loss=2.594014 lr=0.100481 Epoch[030] Batch [2899]/[3760] Speed: 62.225747 samples/sec accuracy=40.645474 loss=2.593774 lr=0.100520 Epoch[030] Batch [2949]/[3760] Speed: 61.355185 samples/sec accuracy=40.640890 loss=2.595027 lr=0.100559 Epoch[030] Batch [2999]/[3760] Speed: 61.982002 samples/sec accuracy=40.657812 loss=2.594445 lr=0.100598 Epoch[030] Batch [3049]/[3760] Speed: 61.722067 samples/sec accuracy=40.645492 loss=2.594556 lr=0.100637 Epoch[030] Batch [3099]/[3760] Speed: 61.637944 samples/sec accuracy=40.631552 loss=2.595370 lr=0.100676 Epoch[030] Batch [3149]/[3760] Speed: 62.234492 samples/sec accuracy=40.615575 loss=2.596683 lr=0.100716 Epoch[030] Batch [3199]/[3760] Speed: 61.880620 samples/sec accuracy=40.614258 loss=2.596837 lr=0.100755 Epoch[030] Batch [3249]/[3760] Speed: 62.073126 samples/sec accuracy=40.615385 loss=2.596547 lr=0.100794 Epoch[030] Batch [3299]/[3760] Speed: 61.550270 samples/sec accuracy=40.607955 loss=2.596612 lr=0.100833 Epoch[030] Batch [3349]/[3760] Speed: 62.153858 samples/sec accuracy=40.608675 loss=2.596201 lr=0.100872 Epoch[030] Batch [3399]/[3760] Speed: 61.608583 samples/sec accuracy=40.615809 loss=2.595975 lr=0.100911 Epoch[030] Batch [3449]/[3760] Speed: 62.393802 samples/sec accuracy=40.594656 loss=2.596611 lr=0.100950 Epoch[030] Batch [3499]/[3760] Speed: 61.595786 samples/sec accuracy=40.603125 loss=2.596010 lr=0.100989 Epoch[030] Batch [3549]/[3760] Speed: 62.000736 samples/sec accuracy=40.593750 loss=2.596366 lr=0.101029 Epoch[030] Batch [3599]/[3760] Speed: 62.054753 samples/sec accuracy=40.585938 loss=2.596927 lr=0.101068 Epoch[030] Batch [3649]/[3760] Speed: 61.792089 samples/sec accuracy=40.583476 loss=2.596648 lr=0.101107 Epoch[030] Batch [3699]/[3760] Speed: 62.250942 samples/sec accuracy=40.586149 loss=2.596764 lr=0.101146 Epoch[030] Batch [3749]/[3760] Speed: 66.686101 samples/sec accuracy=40.556667 loss=2.598159 lr=0.101185 Batch [0049]/[0303]: acc-top1=39.656250 acc-top5=67.406250 Batch [0099]/[0303]: acc-top1=40.687500 acc-top5=68.234375 Batch [0149]/[0303]: acc-top1=40.489583 acc-top5=68.229167 Batch [0199]/[0303]: acc-top1=40.601562 acc-top5=68.351562 Batch [0249]/[0303]: acc-top1=40.512500 acc-top5=68.150000 Batch [0299]/[0303]: acc-top1=40.781250 acc-top5=68.364583 [Epoch 030] training: accuracy=40.552277 loss=2.598425 [Epoch 030] speed: 61 samples/sec time cost: 4215.419898 [Epoch 030] validation: acc-top1=40.707508 acc-top5=68.321988 loss=2.766445 Epoch[031] Batch [0049]/[3760] Speed: 41.284793 samples/sec accuracy=42.031250 loss=2.517633 lr=0.101232 Epoch[031] Batch [0099]/[3760] Speed: 60.237813 samples/sec accuracy=41.296875 loss=2.543185 lr=0.101271 Epoch[031] Batch [0149]/[3760] Speed: 60.897384 samples/sec accuracy=41.156250 loss=2.525581 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lr=0.103540 Epoch[031] Batch [3049]/[3760] Speed: 61.369377 samples/sec accuracy=40.572746 loss=2.596795 lr=0.103579 Epoch[031] Batch [3099]/[3760] Speed: 62.133179 samples/sec accuracy=40.569556 loss=2.596725 lr=0.103618 Epoch[031] Batch [3149]/[3760] Speed: 61.480700 samples/sec accuracy=40.556548 loss=2.597321 lr=0.103658 Epoch[031] Batch [3199]/[3760] Speed: 62.017411 samples/sec accuracy=40.555664 loss=2.597645 lr=0.103697 Epoch[031] Batch [3249]/[3760] Speed: 61.799781 samples/sec accuracy=40.547596 loss=2.598077 lr=0.103736 Epoch[031] Batch [3299]/[3760] Speed: 62.096318 samples/sec accuracy=40.519886 loss=2.599290 lr=0.103775 Epoch[031] Batch [3349]/[3760] Speed: 61.327842 samples/sec accuracy=40.507463 loss=2.599449 lr=0.103814 Epoch[031] Batch [3399]/[3760] Speed: 61.564426 samples/sec accuracy=40.499540 loss=2.599946 lr=0.103853 Epoch[031] Batch [3449]/[3760] Speed: 61.861297 samples/sec accuracy=40.495924 loss=2.599702 lr=0.103892 Epoch[031] Batch [3499]/[3760] Speed: 61.849624 samples/sec accuracy=40.499107 loss=2.599155 lr=0.103931 Epoch[031] Batch [3549]/[3760] Speed: 62.004017 samples/sec accuracy=40.485475 loss=2.600177 lr=0.103971 Epoch[031] Batch [3599]/[3760] Speed: 61.925442 samples/sec accuracy=40.479601 loss=2.601069 lr=0.104010 Epoch[031] Batch [3649]/[3760] Speed: 61.772005 samples/sec accuracy=40.472175 loss=2.601703 lr=0.104049 Epoch[031] Batch [3699]/[3760] Speed: 61.809236 samples/sec accuracy=40.464105 loss=2.602382 lr=0.104088 Epoch[031] Batch [3749]/[3760] Speed: 67.191916 samples/sec accuracy=40.453750 loss=2.602907 lr=0.104127 Batch [0049]/[0303]: acc-top1=37.625000 acc-top5=66.343750 Batch [0099]/[0303]: acc-top1=38.656250 acc-top5=66.890625 Batch [0149]/[0303]: acc-top1=38.750000 acc-top5=66.958333 Batch [0199]/[0303]: acc-top1=38.726562 acc-top5=66.851562 Batch [0249]/[0303]: acc-top1=38.493750 acc-top5=66.775000 Batch [0299]/[0303]: acc-top1=38.734375 acc-top5=67.041667 [Epoch 031] training: accuracy=40.459608 loss=2.602692 [Epoch 031] speed: 61 samples/sec time cost: 4214.884191 [Epoch 031] validation: acc-top1=38.727310 acc-top5=67.012170 loss=2.899063 Epoch[032] Batch [0049]/[3759] Speed: 40.898282 samples/sec accuracy=41.156250 loss=2.633047 lr=0.104174 Epoch[032] Batch [0099]/[3759] Speed: 60.028303 samples/sec accuracy=41.062500 loss=2.582773 lr=0.104213 Epoch[032] Batch [0149]/[3759] Speed: 61.241223 samples/sec accuracy=41.031250 loss=2.557214 lr=0.104252 Epoch[032] Batch [0199]/[3759] Speed: 60.181004 samples/sec accuracy=41.023438 loss=2.545271 lr=0.104291 Epoch[032] Batch [0249]/[3759] Speed: 61.286086 samples/sec accuracy=41.275000 loss=2.538616 lr=0.104330 Epoch[032] Batch [0299]/[3759] Speed: 60.751955 samples/sec accuracy=41.317708 loss=2.540385 lr=0.104370 Epoch[032] Batch [0349]/[3759] Speed: 62.529851 samples/sec accuracy=41.093750 loss=2.552993 lr=0.104409 Epoch[032] Batch [0399]/[3759] Speed: 60.804980 samples/sec accuracy=40.921875 loss=2.561615 lr=0.104448 Epoch[032] Batch 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accuracy=40.723958 loss=2.578532 lr=0.104839 Epoch[032] Batch [0949]/[3759] Speed: 62.078066 samples/sec accuracy=40.840461 loss=2.574709 lr=0.104878 Epoch[032] Batch [0999]/[3759] Speed: 61.784040 samples/sec accuracy=40.831250 loss=2.578408 lr=0.104917 Epoch[032] Batch [1049]/[3759] Speed: 61.467034 samples/sec accuracy=40.836310 loss=2.580457 lr=0.104956 Epoch[032] Batch [1099]/[3759] Speed: 62.195277 samples/sec accuracy=40.781250 loss=2.584329 lr=0.104996 Epoch[032] Batch [1149]/[3759] Speed: 62.040870 samples/sec accuracy=40.831522 loss=2.583903 lr=0.105035 Epoch[032] Batch [1199]/[3759] Speed: 61.828752 samples/sec accuracy=40.811198 loss=2.585716 lr=0.105074 Epoch[032] Batch [1249]/[3759] Speed: 62.110990 samples/sec accuracy=40.828750 loss=2.583938 lr=0.105113 Epoch[032] Batch [1299]/[3759] Speed: 61.666472 samples/sec accuracy=40.814904 loss=2.587319 lr=0.105152 Epoch[032] Batch [1349]/[3759] Speed: 62.496566 samples/sec accuracy=40.723380 loss=2.590224 lr=0.105191 Epoch[032] 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accuracy=40.650338 loss=2.597910 lr=0.105582 Epoch[032] Batch [1899]/[3759] Speed: 61.445301 samples/sec accuracy=40.631579 loss=2.598770 lr=0.105621 Epoch[032] Batch [1949]/[3759] Speed: 62.138196 samples/sec accuracy=40.608974 loss=2.599835 lr=0.105661 Epoch[032] Batch [1999]/[3759] Speed: 61.486783 samples/sec accuracy=40.600781 loss=2.600851 lr=0.105700 Epoch[032] Batch [2049]/[3759] Speed: 62.052999 samples/sec accuracy=40.597561 loss=2.600556 lr=0.105739 Epoch[032] Batch [2099]/[3759] Speed: 61.664736 samples/sec accuracy=40.569940 loss=2.600235 lr=0.105778 Epoch[032] Batch [2149]/[3759] Speed: 62.265042 samples/sec accuracy=40.566134 loss=2.600701 lr=0.105817 Epoch[032] Batch [2199]/[3759] Speed: 61.502723 samples/sec accuracy=40.561790 loss=2.600281 lr=0.105856 Epoch[032] Batch [2249]/[3759] Speed: 62.021404 samples/sec accuracy=40.540278 loss=2.601208 lr=0.105895 Epoch[032] Batch [2299]/[3759] Speed: 61.406678 samples/sec accuracy=40.504076 loss=2.601857 lr=0.105934 Epoch[032] 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accuracy=40.446987 loss=2.606766 lr=0.106326 Epoch[032] Batch [2849]/[3759] Speed: 61.889612 samples/sec accuracy=40.432018 loss=2.607578 lr=0.106365 Epoch[032] Batch [2899]/[3759] Speed: 61.977727 samples/sec accuracy=40.400862 loss=2.608648 lr=0.106404 Epoch[032] Batch [2949]/[3759] Speed: 61.354625 samples/sec accuracy=40.388771 loss=2.608733 lr=0.106443 Epoch[032] Batch [2999]/[3759] Speed: 62.614762 samples/sec accuracy=40.396354 loss=2.608574 lr=0.106482 Epoch[032] Batch [3049]/[3759] Speed: 61.698773 samples/sec accuracy=40.420594 loss=2.607456 lr=0.106521 Epoch[032] Batch [3099]/[3759] Speed: 61.787204 samples/sec accuracy=40.409274 loss=2.607739 lr=0.106560 Epoch[032] Batch [3149]/[3759] Speed: 61.543506 samples/sec accuracy=40.431052 loss=2.606438 lr=0.106600 Epoch[032] Batch [3199]/[3759] Speed: 61.698185 samples/sec accuracy=40.413086 loss=2.607686 lr=0.106639 Epoch[032] Batch [3249]/[3759] Speed: 61.701373 samples/sec accuracy=40.393750 loss=2.608532 lr=0.106678 Epoch[032] Batch [3299]/[3759] Speed: 61.709429 samples/sec accuracy=40.399148 loss=2.608104 lr=0.106717 Epoch[032] Batch [3349]/[3759] Speed: 61.265893 samples/sec accuracy=40.405317 loss=2.608136 lr=0.106756 Epoch[032] Batch [3399]/[3759] Speed: 62.210157 samples/sec accuracy=40.405790 loss=2.608346 lr=0.106795 Epoch[032] Batch [3449]/[3759] Speed: 61.694308 samples/sec accuracy=40.402627 loss=2.608916 lr=0.106834 Epoch[032] Batch [3499]/[3759] Speed: 62.001857 samples/sec accuracy=40.384375 loss=2.609655 lr=0.106873 Epoch[032] Batch [3549]/[3759] Speed: 62.000145 samples/sec accuracy=40.361796 loss=2.610869 lr=0.106912 Epoch[032] Batch [3599]/[3759] Speed: 61.763523 samples/sec accuracy=40.331597 loss=2.612231 lr=0.106952 Epoch[032] Batch [3649]/[3759] Speed: 62.241770 samples/sec accuracy=40.333476 loss=2.612910 lr=0.106991 Epoch[032] Batch [3699]/[3759] Speed: 61.835600 samples/sec accuracy=40.327280 loss=2.613058 lr=0.107030 Epoch[032] Batch [3749]/[3759] Speed: 67.138037 samples/sec accuracy=40.326667 loss=2.612610 lr=0.107069 Batch [0049]/[0303]: acc-top1=39.531250 acc-top5=66.625000 Batch [0099]/[0303]: acc-top1=40.500000 acc-top5=68.031250 Batch [0149]/[0303]: acc-top1=39.916667 acc-top5=67.750000 Batch [0199]/[0303]: acc-top1=40.250000 acc-top5=67.695312 Batch [0249]/[0303]: acc-top1=40.006250 acc-top5=67.425000 Batch [0299]/[0303]: acc-top1=40.114583 acc-top5=67.859375 [Epoch 032] training: accuracy=40.332369 loss=2.612325 [Epoch 032] speed: 61 samples/sec time cost: 4213.744747 [Epoch 032] validation: acc-top1=40.078383 acc-top5=67.852723 loss=2.828840 Epoch[033] Batch [0049]/[3760] Speed: 40.618622 samples/sec accuracy=40.062500 loss=2.667884 lr=0.107115 Epoch[033] Batch [0099]/[3760] Speed: 59.652001 samples/sec accuracy=40.343750 loss=2.626865 lr=0.107154 Epoch[033] Batch [0149]/[3760] Speed: 60.187471 samples/sec accuracy=40.687500 loss=2.606775 lr=0.107193 Epoch[033] Batch [0199]/[3760] Speed: 60.015020 samples/sec accuracy=40.953125 loss=2.577198 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lr=0.109462 Epoch[033] Batch [3099]/[3760] Speed: 61.852695 samples/sec accuracy=40.297883 loss=2.616864 lr=0.109502 Epoch[033] Batch [3149]/[3760] Speed: 61.373994 samples/sec accuracy=40.283234 loss=2.616961 lr=0.109541 Epoch[033] Batch [3199]/[3760] Speed: 62.140732 samples/sec accuracy=40.254883 loss=2.617388 lr=0.109580 Epoch[033] Batch [3249]/[3760] Speed: 61.969974 samples/sec accuracy=40.268269 loss=2.616592 lr=0.109619 Epoch[033] Batch [3299]/[3760] Speed: 62.021954 samples/sec accuracy=40.261364 loss=2.617334 lr=0.109658 Epoch[033] Batch [3349]/[3760] Speed: 61.849995 samples/sec accuracy=40.246735 loss=2.617581 lr=0.109697 Epoch[033] Batch [3399]/[3760] Speed: 61.807265 samples/sec accuracy=40.230239 loss=2.617557 lr=0.109736 Epoch[033] Batch [3449]/[3760] Speed: 61.683972 samples/sec accuracy=40.227808 loss=2.618019 lr=0.109775 Epoch[033] Batch [3499]/[3760] Speed: 62.183904 samples/sec accuracy=40.235714 loss=2.617575 lr=0.109815 Epoch[033] Batch [3549]/[3760] Speed: 62.042975 samples/sec accuracy=40.248239 loss=2.617756 lr=0.109854 Epoch[033] Batch [3599]/[3760] Speed: 61.766396 samples/sec accuracy=40.219618 loss=2.618967 lr=0.109893 Epoch[033] Batch [3649]/[3760] Speed: 61.832751 samples/sec accuracy=40.226884 loss=2.618466 lr=0.109932 Epoch[033] Batch [3699]/[3760] Speed: 61.745390 samples/sec accuracy=40.229307 loss=2.618990 lr=0.109971 Epoch[033] Batch [3749]/[3760] Speed: 66.735211 samples/sec accuracy=40.205000 loss=2.620147 lr=0.110000 Batch [0049]/[0303]: acc-top1=36.875000 acc-top5=64.875000 Batch [0099]/[0303]: acc-top1=37.875000 acc-top5=65.578125 Batch [0149]/[0303]: acc-top1=37.843750 acc-top5=65.427083 Batch [0199]/[0303]: acc-top1=37.695312 acc-top5=65.523438 Batch [0249]/[0303]: acc-top1=37.712500 acc-top5=65.250000 Batch [0299]/[0303]: acc-top1=37.927083 acc-top5=65.500000 [Epoch 033] training: accuracy=40.206533 loss=2.620143 [Epoch 033] speed: 61 samples/sec time cost: 4219.075571 [Epoch 033] validation: acc-top1=37.855817 acc-top5=65.459983 loss=2.994049 Epoch[034] Batch [0049]/[3759] Speed: 40.493292 samples/sec accuracy=41.781250 loss=2.588170 lr=0.110000 Epoch[034] Batch [0099]/[3759] Speed: 58.927036 samples/sec accuracy=40.984375 loss=2.609093 lr=0.110000 Epoch[034] Batch [0149]/[3759] Speed: 61.122931 samples/sec accuracy=40.875000 loss=2.597057 lr=0.110000 Epoch[034] Batch [0199]/[3759] Speed: 59.868980 samples/sec accuracy=40.953125 loss=2.584865 lr=0.110000 Epoch[034] Batch [0249]/[3759] Speed: 61.405549 samples/sec accuracy=40.737500 loss=2.584378 lr=0.110000 Epoch[034] Batch [0299]/[3759] Speed: 60.131168 samples/sec accuracy=40.661458 loss=2.587139 lr=0.110000 Epoch[034] Batch [0349]/[3759] Speed: 62.018251 samples/sec accuracy=40.602679 loss=2.592923 lr=0.110000 Epoch[034] Batch [0399]/[3759] Speed: 60.931062 samples/sec accuracy=40.695312 loss=2.586458 lr=0.110000 Epoch[034] Batch [0449]/[3759] Speed: 62.116883 samples/sec accuracy=40.805556 loss=2.587260 lr=0.110000 Epoch[034] Batch 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accuracy=40.268914 loss=2.618995 lr=0.109997 Epoch[034] Batch [1949]/[3759] Speed: 61.849547 samples/sec accuracy=40.286058 loss=2.618776 lr=0.109997 Epoch[034] Batch [1999]/[3759] Speed: 61.747140 samples/sec accuracy=40.317188 loss=2.617759 lr=0.109997 Epoch[034] Batch [2049]/[3759] Speed: 61.740743 samples/sec accuracy=40.328506 loss=2.616909 lr=0.109997 Epoch[034] Batch [2099]/[3759] Speed: 62.355690 samples/sec accuracy=40.366071 loss=2.614880 lr=0.109997 Epoch[034] Batch [2149]/[3759] Speed: 61.129841 samples/sec accuracy=40.327035 loss=2.616222 lr=0.109997 Epoch[034] Batch [2199]/[3759] Speed: 61.955913 samples/sec accuracy=40.308949 loss=2.616752 lr=0.109996 Epoch[034] Batch [2249]/[3759] Speed: 61.592763 samples/sec accuracy=40.331944 loss=2.615363 lr=0.109996 Epoch[034] Batch [2299]/[3759] Speed: 62.454811 samples/sec accuracy=40.326087 loss=2.615994 lr=0.109996 Epoch[034] Batch [2349]/[3759] Speed: 61.484462 samples/sec accuracy=40.317154 loss=2.616050 lr=0.109996 Epoch[034] 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accuracy=40.331140 loss=2.617168 lr=0.109994 Epoch[034] Batch [2899]/[3759] Speed: 61.459342 samples/sec accuracy=40.315733 loss=2.617327 lr=0.109994 Epoch[034] Batch [2949]/[3759] Speed: 62.179801 samples/sec accuracy=40.290254 loss=2.618484 lr=0.109994 Epoch[034] Batch [2999]/[3759] Speed: 61.503852 samples/sec accuracy=40.322917 loss=2.617208 lr=0.109993 Epoch[034] Batch [3049]/[3759] Speed: 61.429145 samples/sec accuracy=40.323258 loss=2.617221 lr=0.109993 Epoch[034] Batch [3099]/[3759] Speed: 62.107480 samples/sec accuracy=40.331149 loss=2.616731 lr=0.109993 Epoch[034] Batch [3149]/[3759] Speed: 62.006357 samples/sec accuracy=40.337798 loss=2.615916 lr=0.109993 Epoch[034] Batch [3199]/[3759] Speed: 62.023236 samples/sec accuracy=40.336426 loss=2.615329 lr=0.109992 Epoch[034] Batch [3249]/[3759] Speed: 61.854929 samples/sec accuracy=40.322596 loss=2.615798 lr=0.109992 Epoch[034] Batch [3299]/[3759] Speed: 62.000901 samples/sec accuracy=40.326705 loss=2.616325 lr=0.109992 Epoch[034] Batch [3349]/[3759] Speed: 62.194522 samples/sec accuracy=40.332556 loss=2.616889 lr=0.109992 Epoch[034] Batch [3399]/[3759] Speed: 61.824668 samples/sec accuracy=40.332261 loss=2.617117 lr=0.109991 Epoch[034] Batch [3449]/[3759] Speed: 62.082080 samples/sec accuracy=40.328804 loss=2.616960 lr=0.109991 Epoch[034] Batch [3499]/[3759] Speed: 61.889802 samples/sec accuracy=40.333929 loss=2.616990 lr=0.109991 Epoch[034] Batch [3549]/[3759] Speed: 62.006037 samples/sec accuracy=40.323944 loss=2.617362 lr=0.109991 Epoch[034] Batch [3599]/[3759] Speed: 61.933211 samples/sec accuracy=40.308160 loss=2.617864 lr=0.109990 Epoch[034] Batch [3649]/[3759] Speed: 61.887517 samples/sec accuracy=40.306935 loss=2.617412 lr=0.109990 Epoch[034] Batch [3699]/[3759] Speed: 62.659025 samples/sec accuracy=40.301943 loss=2.617515 lr=0.109990 Epoch[034] Batch [3749]/[3759] Speed: 66.884718 samples/sec accuracy=40.293750 loss=2.617987 lr=0.109990 Batch [0049]/[0303]: acc-top1=38.781250 acc-top5=65.406250 Batch [0099]/[0303]: acc-top1=39.500000 acc-top5=66.390625 Batch [0149]/[0303]: acc-top1=39.729167 acc-top5=66.104167 Batch [0199]/[0303]: acc-top1=39.507812 acc-top5=66.195312 Batch [0249]/[0303]: acc-top1=39.218750 acc-top5=66.006250 Batch [0299]/[0303]: acc-top1=39.458333 acc-top5=66.192708 [Epoch 034] training: accuracy=40.281242 loss=2.618451 [Epoch 034] speed: 61 samples/sec time cost: 4217.199759 [Epoch 034] validation: acc-top1=39.402847 acc-top5=66.135520 loss=2.939807 Epoch[035] Batch [0049]/[3760] Speed: 40.922170 samples/sec accuracy=42.468750 loss=2.548479 lr=0.109989 Epoch[035] Batch [0099]/[3760] Speed: 59.540746 samples/sec accuracy=41.703125 loss=2.568459 lr=0.109989 Epoch[035] Batch [0149]/[3760] Speed: 61.000995 samples/sec accuracy=40.979167 loss=2.574160 lr=0.109989 Epoch[035] Batch [0199]/[3760] Speed: 60.681633 samples/sec accuracy=40.984375 loss=2.580735 lr=0.109988 Epoch[035] Batch [0249]/[3760] Speed: 61.995157 samples/sec accuracy=40.918750 loss=2.583729 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lr=0.109965 Epoch[035] Batch [3149]/[3760] Speed: 61.424374 samples/sec accuracy=40.417163 loss=2.607261 lr=0.109965 Epoch[035] Batch [3199]/[3760] Speed: 61.780404 samples/sec accuracy=40.399902 loss=2.608425 lr=0.109964 Epoch[035] Batch [3249]/[3760] Speed: 61.950478 samples/sec accuracy=40.419231 loss=2.608133 lr=0.109964 Epoch[035] Batch [3299]/[3760] Speed: 61.771850 samples/sec accuracy=40.419508 loss=2.607800 lr=0.109963 Epoch[035] Batch [3349]/[3760] Speed: 61.695251 samples/sec accuracy=40.414179 loss=2.608970 lr=0.109963 Epoch[035] Batch [3399]/[3760] Speed: 61.911239 samples/sec accuracy=40.414062 loss=2.608633 lr=0.109962 Epoch[035] Batch [3449]/[3760] Speed: 61.714006 samples/sec accuracy=40.412138 loss=2.609198 lr=0.109962 Epoch[035] Batch [3499]/[3760] Speed: 61.386409 samples/sec accuracy=40.395536 loss=2.609966 lr=0.109961 Epoch[035] Batch [3549]/[3760] Speed: 61.718840 samples/sec accuracy=40.387764 loss=2.610237 lr=0.109961 Epoch[035] Batch [3599]/[3760] Speed: 62.391886 samples/sec accuracy=40.397135 loss=2.610631 lr=0.109960 Epoch[035] Batch [3649]/[3760] Speed: 61.709148 samples/sec accuracy=40.401541 loss=2.610705 lr=0.109960 Epoch[035] Batch [3699]/[3760] Speed: 61.741789 samples/sec accuracy=40.402872 loss=2.611224 lr=0.109959 Epoch[035] Batch [3749]/[3760] Speed: 67.143620 samples/sec accuracy=40.406250 loss=2.611074 lr=0.109958 Batch [0049]/[0303]: acc-top1=39.093750 acc-top5=67.125000 Batch [0099]/[0303]: acc-top1=39.328125 acc-top5=67.890625 Batch [0149]/[0303]: acc-top1=39.489583 acc-top5=67.979167 Batch [0199]/[0303]: acc-top1=39.585938 acc-top5=67.968750 Batch [0249]/[0303]: acc-top1=39.656250 acc-top5=67.825000 Batch [0299]/[0303]: acc-top1=39.770833 acc-top5=68.166667 [Epoch 035] training: accuracy=40.403092 loss=2.611233 [Epoch 035] speed: 61 samples/sec time cost: 4212.710142 [Epoch 035] validation: acc-top1=39.758663 acc-top5=68.136345 loss=2.883930 Epoch[036] Batch [0049]/[3760] Speed: 41.282763 samples/sec accuracy=40.156250 loss=2.565201 lr=0.109958 Epoch[036] Batch [0099]/[3760] Speed: 59.436866 samples/sec accuracy=40.390625 loss=2.596084 lr=0.109957 Epoch[036] Batch [0149]/[3760] Speed: 60.380906 samples/sec accuracy=40.791667 loss=2.595749 lr=0.109957 Epoch[036] Batch [0199]/[3760] Speed: 60.227529 samples/sec accuracy=40.812500 loss=2.599841 lr=0.109956 Epoch[036] Batch [0249]/[3760] Speed: 61.734927 samples/sec accuracy=40.900000 loss=2.595912 lr=0.109956 Epoch[036] Batch [0299]/[3760] Speed: 60.671830 samples/sec accuracy=40.984375 loss=2.587726 lr=0.109955 Epoch[036] Batch [0349]/[3760] Speed: 61.790292 samples/sec accuracy=40.816964 loss=2.590457 lr=0.109954 Epoch[036] Batch [0399]/[3760] Speed: 60.269711 samples/sec accuracy=40.531250 loss=2.603987 lr=0.109954 Epoch[036] Batch [0449]/[3760] Speed: 62.521575 samples/sec accuracy=40.638889 loss=2.603244 lr=0.109953 Epoch[036] Batch [0499]/[3760] Speed: 60.544743 samples/sec accuracy=40.562500 loss=2.604443 lr=0.109953 Epoch[036] 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accuracy=40.734375 loss=2.596926 lr=0.109947 Epoch[036] Batch [1049]/[3760] Speed: 61.069634 samples/sec accuracy=40.700893 loss=2.599009 lr=0.109946 Epoch[036] Batch [1099]/[3760] Speed: 61.597149 samples/sec accuracy=40.686080 loss=2.599998 lr=0.109945 Epoch[036] Batch [1149]/[3760] Speed: 61.838981 samples/sec accuracy=40.682065 loss=2.601418 lr=0.109945 Epoch[036] Batch [1199]/[3760] Speed: 61.960295 samples/sec accuracy=40.621094 loss=2.602633 lr=0.109944 Epoch[036] Batch [1249]/[3760] Speed: 61.920862 samples/sec accuracy=40.625000 loss=2.602750 lr=0.109943 Epoch[036] Batch [1299]/[3760] Speed: 61.377616 samples/sec accuracy=40.631010 loss=2.601792 lr=0.109943 Epoch[036] Batch [1349]/[3760] Speed: 62.038370 samples/sec accuracy=40.652778 loss=2.601987 lr=0.109942 Epoch[036] Batch [1399]/[3760] Speed: 61.938703 samples/sec accuracy=40.685268 loss=2.601221 lr=0.109942 Epoch[036] Batch [1449]/[3760] Speed: 61.636327 samples/sec accuracy=40.698276 loss=2.601226 lr=0.109941 Epoch[036] 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accuracy=40.582532 loss=2.604952 lr=0.109934 Epoch[036] Batch [1999]/[3760] Speed: 61.773416 samples/sec accuracy=40.551562 loss=2.604746 lr=0.109933 Epoch[036] Batch [2049]/[3760] Speed: 61.641652 samples/sec accuracy=40.560213 loss=2.605026 lr=0.109933 Epoch[036] Batch [2099]/[3760] Speed: 62.202753 samples/sec accuracy=40.552083 loss=2.605060 lr=0.109932 Epoch[036] Batch [2149]/[3760] Speed: 61.236712 samples/sec accuracy=40.539244 loss=2.605819 lr=0.109931 Epoch[036] Batch [2199]/[3760] Speed: 62.055194 samples/sec accuracy=40.578125 loss=2.603366 lr=0.109931 Epoch[036] Batch [2249]/[3760] Speed: 62.250466 samples/sec accuracy=40.570833 loss=2.604385 lr=0.109930 Epoch[036] Batch [2299]/[3760] Speed: 62.221349 samples/sec accuracy=40.582201 loss=2.604214 lr=0.109929 Epoch[036] Batch [2349]/[3760] Speed: 61.485983 samples/sec accuracy=40.560505 loss=2.604163 lr=0.109928 Epoch[036] Batch [2399]/[3760] Speed: 61.847342 samples/sec accuracy=40.559245 loss=2.604681 lr=0.109928 Epoch[036] 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accuracy=40.553879 loss=2.605243 lr=0.109920 Epoch[036] Batch [2949]/[3760] Speed: 61.598898 samples/sec accuracy=40.565678 loss=2.605163 lr=0.109919 Epoch[036] Batch [2999]/[3760] Speed: 61.787932 samples/sec accuracy=40.561979 loss=2.604894 lr=0.109919 Epoch[036] Batch [3049]/[3760] Speed: 62.189187 samples/sec accuracy=40.560451 loss=2.605981 lr=0.109918 Epoch[036] Batch [3099]/[3760] Speed: 61.671891 samples/sec accuracy=40.518145 loss=2.607827 lr=0.109917 Epoch[036] Batch [3149]/[3760] Speed: 61.788138 samples/sec accuracy=40.499008 loss=2.608402 lr=0.109916 Epoch[036] Batch [3199]/[3760] Speed: 61.908062 samples/sec accuracy=40.506348 loss=2.608230 lr=0.109916 Epoch[036] Batch [3249]/[3760] Speed: 61.865535 samples/sec accuracy=40.500481 loss=2.608770 lr=0.109915 Epoch[036] Batch [3299]/[3760] Speed: 61.662178 samples/sec accuracy=40.510417 loss=2.608473 lr=0.109914 Epoch[036] Batch [3349]/[3760] Speed: 62.169840 samples/sec accuracy=40.514925 loss=2.608582 lr=0.109913 Epoch[036] Batch [3399]/[3760] Speed: 61.984605 samples/sec accuracy=40.507353 loss=2.609672 lr=0.109912 Epoch[036] Batch [3449]/[3760] Speed: 61.529940 samples/sec accuracy=40.524457 loss=2.608663 lr=0.109912 Epoch[036] Batch [3499]/[3760] Speed: 61.430427 samples/sec accuracy=40.507589 loss=2.609260 lr=0.109911 Epoch[036] Batch [3549]/[3760] Speed: 61.965707 samples/sec accuracy=40.512324 loss=2.609368 lr=0.109910 Epoch[036] Batch [3599]/[3760] Speed: 62.194406 samples/sec accuracy=40.502604 loss=2.609639 lr=0.109909 Epoch[036] Batch [3649]/[3760] Speed: 61.608914 samples/sec accuracy=40.518836 loss=2.608693 lr=0.109908 Epoch[036] Batch [3699]/[3760] Speed: 62.562079 samples/sec accuracy=40.516047 loss=2.608869 lr=0.109908 Epoch[036] Batch [3749]/[3760] Speed: 66.651879 samples/sec accuracy=40.505417 loss=2.609307 lr=0.109907 Batch [0049]/[0303]: acc-top1=39.406250 acc-top5=66.875000 Batch [0099]/[0303]: acc-top1=39.796875 acc-top5=67.843750 Batch [0149]/[0303]: acc-top1=39.812500 acc-top5=67.802083 Batch [0199]/[0303]: acc-top1=39.757812 acc-top5=67.804688 Batch [0249]/[0303]: acc-top1=39.393750 acc-top5=67.687500 Batch [0299]/[0303]: acc-top1=39.593750 acc-top5=67.906250 [Epoch 036] training: accuracy=40.504904 loss=2.609145 [Epoch 036] speed: 61 samples/sec time cost: 4220.875977 [Epoch 036] validation: acc-top1=39.583333 acc-top5=67.893977 loss=2.936203 Epoch[037] Batch [0049]/[3759] Speed: 40.832077 samples/sec accuracy=41.562500 loss=2.549130 lr=0.109906 Epoch[037] Batch [0099]/[3759] Speed: 59.564320 samples/sec accuracy=41.078125 loss=2.545731 lr=0.109905 Epoch[037] Batch [0149]/[3759] Speed: 60.309050 samples/sec accuracy=40.718750 loss=2.569573 lr=0.109904 Epoch[037] Batch [0199]/[3759] Speed: 60.635903 samples/sec accuracy=40.429688 loss=2.593156 lr=0.109903 Epoch[037] Batch [0249]/[3759] Speed: 61.527841 samples/sec accuracy=40.418750 loss=2.588191 lr=0.109902 Epoch[037] Batch [0299]/[3759] Speed: 60.705844 samples/sec accuracy=40.473958 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accuracy=40.635000 loss=2.598611 lr=0.109885 Epoch[037] Batch [1299]/[3759] Speed: 61.563605 samples/sec accuracy=40.661058 loss=2.598424 lr=0.109884 Epoch[037] Batch [1349]/[3759] Speed: 61.600794 samples/sec accuracy=40.578704 loss=2.602609 lr=0.109883 Epoch[037] Batch [1399]/[3759] Speed: 62.395274 samples/sec accuracy=40.602679 loss=2.600539 lr=0.109882 Epoch[037] Batch [1449]/[3759] Speed: 62.081180 samples/sec accuracy=40.592672 loss=2.603561 lr=0.109881 Epoch[037] Batch [1499]/[3759] Speed: 61.556641 samples/sec accuracy=40.555208 loss=2.604938 lr=0.109880 Epoch[037] Batch [1549]/[3759] Speed: 61.629741 samples/sec accuracy=40.539315 loss=2.605228 lr=0.109879 Epoch[037] Batch [1599]/[3759] Speed: 61.790186 samples/sec accuracy=40.589844 loss=2.602477 lr=0.109878 Epoch[037] Batch [1649]/[3759] Speed: 61.605856 samples/sec accuracy=40.597538 loss=2.603090 lr=0.109877 Epoch[037] Batch [1699]/[3759] Speed: 62.143870 samples/sec accuracy=40.625919 loss=2.601819 lr=0.109876 Epoch[037] Batch [1749]/[3759] Speed: 62.074462 samples/sec accuracy=40.593750 loss=2.601857 lr=0.109875 Epoch[037] Batch [1799]/[3759] Speed: 62.015401 samples/sec accuracy=40.593750 loss=2.600657 lr=0.109874 Epoch[037] Batch [1849]/[3759] Speed: 61.759339 samples/sec accuracy=40.605574 loss=2.600351 lr=0.109873 Epoch[037] Batch [1899]/[3759] Speed: 62.115051 samples/sec accuracy=40.586349 loss=2.601780 lr=0.109873 Epoch[037] Batch [1949]/[3759] Speed: 61.662133 samples/sec accuracy=40.588141 loss=2.602576 lr=0.109872 Epoch[037] Batch [1999]/[3759] Speed: 61.726094 samples/sec accuracy=40.593750 loss=2.602675 lr=0.109871 Epoch[037] Batch [2049]/[3759] Speed: 61.731570 samples/sec accuracy=40.606707 loss=2.602934 lr=0.109870 Epoch[037] Batch [2099]/[3759] Speed: 61.980964 samples/sec accuracy=40.613095 loss=2.602652 lr=0.109869 Epoch[037] Batch [2149]/[3759] Speed: 61.779470 samples/sec accuracy=40.627180 loss=2.602680 lr=0.109868 Epoch[037] Batch [2199]/[3759] Speed: 61.895213 samples/sec accuracy=40.602273 loss=2.603583 lr=0.109867 Epoch[037] Batch [2249]/[3759] Speed: 61.810681 samples/sec accuracy=40.604167 loss=2.603225 lr=0.109866 Epoch[037] Batch [2299]/[3759] Speed: 61.951431 samples/sec accuracy=40.626359 loss=2.602779 lr=0.109865 Epoch[037] Batch [2349]/[3759] Speed: 61.402858 samples/sec accuracy=40.622340 loss=2.602814 lr=0.109864 Epoch[037] Batch [2399]/[3759] Speed: 61.730040 samples/sec accuracy=40.629557 loss=2.603482 lr=0.109863 Epoch[037] Batch [2449]/[3759] Speed: 62.199158 samples/sec accuracy=40.633291 loss=2.603422 lr=0.109862 Epoch[037] Batch [2499]/[3759] Speed: 61.934733 samples/sec accuracy=40.625000 loss=2.602932 lr=0.109861 Epoch[037] Batch [2549]/[3759] Speed: 61.310421 samples/sec accuracy=40.631127 loss=2.602799 lr=0.109860 Epoch[037] Batch [2599]/[3759] Speed: 61.964044 samples/sec accuracy=40.611178 loss=2.603645 lr=0.109859 Epoch[037] Batch [2649]/[3759] Speed: 62.019876 samples/sec accuracy=40.613208 loss=2.603462 lr=0.109858 Epoch[037] Batch [2699]/[3759] Speed: 61.714113 samples/sec accuracy=40.601273 loss=2.604206 lr=0.109857 Epoch[037] Batch [2749]/[3759] Speed: 61.271766 samples/sec accuracy=40.602273 loss=2.603838 lr=0.109856 Epoch[037] Batch [2799]/[3759] Speed: 62.008103 samples/sec accuracy=40.595982 loss=2.604438 lr=0.109855 Epoch[037] Batch [2849]/[3759] Speed: 61.728928 samples/sec accuracy=40.605811 loss=2.604900 lr=0.109853 Epoch[037] Batch [2899]/[3759] Speed: 61.599765 samples/sec accuracy=40.585668 loss=2.606345 lr=0.109852 Epoch[037] Batch [2949]/[3759] Speed: 62.167986 samples/sec accuracy=40.593220 loss=2.605959 lr=0.109851 Epoch[037] Batch [2999]/[3759] Speed: 61.782056 samples/sec accuracy=40.592188 loss=2.606368 lr=0.109850 Epoch[037] Batch [3049]/[3759] Speed: 61.608043 samples/sec accuracy=40.576332 loss=2.605936 lr=0.109849 Epoch[037] Batch [3099]/[3759] Speed: 62.105221 samples/sec accuracy=40.550907 loss=2.607337 lr=0.109848 Epoch[037] Batch [3149]/[3759] Speed: 61.465837 samples/sec accuracy=40.548611 loss=2.607764 lr=0.109847 Epoch[037] Batch [3199]/[3759] Speed: 61.863440 samples/sec accuracy=40.563477 loss=2.607507 lr=0.109846 Epoch[037] Batch [3249]/[3759] Speed: 61.385942 samples/sec accuracy=40.581731 loss=2.606979 lr=0.109845 Epoch[037] Batch [3299]/[3759] Speed: 62.174062 samples/sec accuracy=40.593750 loss=2.606280 lr=0.109844 Epoch[037] Batch [3349]/[3759] Speed: 61.513958 samples/sec accuracy=40.591418 loss=2.606346 lr=0.109843 Epoch[037] Batch [3399]/[3759] Speed: 61.992599 samples/sec accuracy=40.610294 loss=2.605709 lr=0.109842 Epoch[037] Batch [3449]/[3759] Speed: 61.651288 samples/sec accuracy=40.602355 loss=2.605998 lr=0.109841 Epoch[037] Batch [3499]/[3759] Speed: 62.272011 samples/sec accuracy=40.594196 loss=2.606693 lr=0.109840 Epoch[037] Batch [3549]/[3759] Speed: 61.932735 samples/sec accuracy=40.574824 loss=2.607143 lr=0.109839 Epoch[037] Batch [3599]/[3759] Speed: 61.743053 samples/sec accuracy=40.586806 loss=2.606701 lr=0.109838 Epoch[037] Batch [3649]/[3759] Speed: 62.025529 samples/sec accuracy=40.590325 loss=2.606486 lr=0.109836 Epoch[037] Batch [3699]/[3759] Speed: 61.570515 samples/sec accuracy=40.584037 loss=2.606217 lr=0.109835 Epoch[037] Batch [3749]/[3759] Speed: 67.512841 samples/sec accuracy=40.574583 loss=2.606208 lr=0.109834 Batch [0049]/[0303]: acc-top1=39.281250 acc-top5=67.250000 Batch [0099]/[0303]: acc-top1=40.640625 acc-top5=67.906250 Batch [0149]/[0303]: acc-top1=40.604167 acc-top5=67.458333 Batch [0199]/[0303]: acc-top1=40.687500 acc-top5=67.570312 Batch [0249]/[0303]: acc-top1=40.350000 acc-top5=67.312500 Batch [0299]/[0303]: acc-top1=40.625000 acc-top5=67.802083 [Epoch 037] training: accuracy=40.586343 loss=2.606051 [Epoch 037] speed: 61 samples/sec time cost: 4217.436927 [Epoch 037] validation: acc-top1=40.557962 acc-top5=67.785685 loss=2.825337 Epoch[038] Batch [0049]/[3760] Speed: 40.545032 samples/sec accuracy=42.343750 loss=2.547193 lr=0.109833 Epoch[038] Batch [0099]/[3760] Speed: 60.071009 samples/sec accuracy=42.640625 loss=2.518364 lr=0.109832 Epoch[038] Batch [0149]/[3760] Speed: 61.285479 samples/sec accuracy=42.020833 loss=2.537319 lr=0.109831 Epoch[038] Batch [0199]/[3760] Speed: 60.283013 samples/sec accuracy=42.117188 loss=2.546725 lr=0.109830 Epoch[038] Batch [0249]/[3760] Speed: 62.111505 samples/sec accuracy=42.143750 loss=2.543209 lr=0.109829 Epoch[038] Batch [0299]/[3760] Speed: 60.775162 samples/sec accuracy=41.833333 loss=2.553572 lr=0.109827 Epoch[038] Batch [0349]/[3760] Speed: 61.898199 samples/sec accuracy=41.504464 loss=2.562631 lr=0.109826 Epoch[038] Batch [0399]/[3760] Speed: 61.722683 samples/sec accuracy=41.617188 loss=2.562339 lr=0.109825 Epoch[038] Batch [0449]/[3760] Speed: 62.214105 samples/sec accuracy=41.524306 loss=2.569704 lr=0.109824 Epoch[038] Batch [0499]/[3760] Speed: 61.300973 samples/sec accuracy=41.346875 loss=2.575507 lr=0.109823 Epoch[038] Batch [0549]/[3760] Speed: 61.902202 samples/sec accuracy=41.400568 loss=2.568524 lr=0.109822 Epoch[038] Batch [0599]/[3760] Speed: 61.854684 samples/sec accuracy=41.333333 loss=2.570863 lr=0.109821 Epoch[038] Batch [0649]/[3760] Speed: 61.587445 samples/sec accuracy=41.211538 loss=2.575618 lr=0.109819 Epoch[038] Batch [0699]/[3760] Speed: 61.738696 samples/sec accuracy=41.149554 loss=2.577927 lr=0.109818 Epoch[038] Batch [0749]/[3760] Speed: 62.002992 samples/sec accuracy=41.197917 loss=2.572468 lr=0.109817 Epoch[038] Batch [0799]/[3760] Speed: 61.513274 samples/sec accuracy=41.107422 loss=2.573035 lr=0.109816 Epoch[038] Batch [0849]/[3760] Speed: 61.660452 samples/sec accuracy=41.093750 loss=2.570192 lr=0.109815 Epoch[038] Batch [0899]/[3760] Speed: 61.863979 samples/sec accuracy=41.095486 loss=2.570936 lr=0.109814 Epoch[038] Batch [0949]/[3760] Speed: 61.499267 samples/sec accuracy=41.042763 loss=2.572470 lr=0.109813 Epoch[038] Batch [0999]/[3760] Speed: 62.318099 samples/sec accuracy=41.098438 loss=2.569216 lr=0.109811 Epoch[038] Batch [1049]/[3760] Speed: 61.430324 samples/sec accuracy=41.139881 loss=2.569375 lr=0.109810 Epoch[038] Batch [1099]/[3760] Speed: 61.721039 samples/sec accuracy=41.144886 loss=2.571715 lr=0.109809 Epoch[038] Batch [1149]/[3760] Speed: 62.133341 samples/sec accuracy=41.126359 loss=2.572769 lr=0.109808 Epoch[038] Batch [1199]/[3760] Speed: 62.454359 samples/sec accuracy=41.078125 loss=2.574408 lr=0.109807 Epoch[038] Batch [1249]/[3760] Speed: 61.534488 samples/sec accuracy=41.093750 loss=2.574069 lr=0.109805 Epoch[038] Batch [1299]/[3760] Speed: 62.183379 samples/sec accuracy=41.087740 loss=2.573451 lr=0.109804 Epoch[038] Batch [1349]/[3760] Speed: 61.969261 samples/sec accuracy=41.077546 loss=2.574527 lr=0.109803 Epoch[038] Batch [1399]/[3760] Speed: 61.438486 samples/sec accuracy=41.078125 loss=2.574536 lr=0.109802 Epoch[038] Batch [1449]/[3760] Speed: 62.333026 samples/sec accuracy=41.029095 loss=2.576518 lr=0.109801 Epoch[038] Batch [1499]/[3760] Speed: 62.106582 samples/sec accuracy=40.975000 loss=2.580616 lr=0.109799 Epoch[038] Batch [1549]/[3760] Speed: 61.902093 samples/sec accuracy=41.009073 loss=2.578619 lr=0.109798 Epoch[038] Batch [1599]/[3760] Speed: 62.062214 samples/sec accuracy=40.980469 loss=2.580426 lr=0.109797 Epoch[038] Batch [1649]/[3760] Speed: 61.804674 samples/sec accuracy=40.947917 loss=2.583087 lr=0.109796 Epoch[038] Batch [1699]/[3760] Speed: 61.379186 samples/sec accuracy=40.909926 loss=2.583024 lr=0.109795 Epoch[038] Batch [1749]/[3760] Speed: 62.627381 samples/sec accuracy=40.914286 loss=2.583487 lr=0.109793 Epoch[038] Batch [1799]/[3760] Speed: 61.514390 samples/sec accuracy=40.883681 loss=2.585348 lr=0.109792 Epoch[038] Batch [1849]/[3760] Speed: 61.738994 samples/sec accuracy=40.866554 loss=2.587043 lr=0.109791 Epoch[038] Batch [1899]/[3760] Speed: 62.175201 samples/sec accuracy=40.870066 loss=2.586818 lr=0.109790 Epoch[038] Batch [1949]/[3760] Speed: 61.607765 samples/sec accuracy=40.907853 loss=2.585374 lr=0.109788 Epoch[038] Batch [1999]/[3760] Speed: 61.560123 samples/sec accuracy=40.921875 loss=2.585414 lr=0.109787 Epoch[038] Batch [2049]/[3760] Speed: 62.216558 samples/sec accuracy=40.877287 loss=2.586841 lr=0.109786 Epoch[038] Batch [2099]/[3760] Speed: 61.808890 samples/sec accuracy=40.880208 loss=2.587357 lr=0.109785 Epoch[038] Batch [2149]/[3760] Speed: 61.724226 samples/sec accuracy=40.875727 loss=2.588256 lr=0.109783 Epoch[038] Batch [2199]/[3760] Speed: 61.813219 samples/sec accuracy=40.872159 loss=2.588514 lr=0.109782 Epoch[038] Batch [2249]/[3760] Speed: 62.053361 samples/sec accuracy=40.925694 loss=2.586202 lr=0.109781 Epoch[038] Batch [2299]/[3760] Speed: 61.941511 samples/sec accuracy=40.941576 loss=2.585480 lr=0.109780 Epoch[038] Batch [2349]/[3760] Speed: 61.958246 samples/sec accuracy=40.914894 loss=2.586463 lr=0.109778 Epoch[038] Batch [2399]/[3760] Speed: 62.007852 samples/sec accuracy=40.892578 loss=2.588157 lr=0.109777 Epoch[038] Batch [2449]/[3760] Speed: 61.588216 samples/sec accuracy=40.823342 loss=2.590484 lr=0.109776 Epoch[038] Batch [2499]/[3760] Speed: 61.894773 samples/sec accuracy=40.825625 loss=2.590178 lr=0.109774 Epoch[038] Batch [2549]/[3760] Speed: 61.623678 samples/sec accuracy=40.800245 loss=2.591980 lr=0.109773 Epoch[038] Batch [2599]/[3760] Speed: 61.978117 samples/sec accuracy=40.793870 loss=2.592868 lr=0.109772 Epoch[038] Batch [2649]/[3760] Speed: 62.195873 samples/sec accuracy=40.778302 loss=2.593183 lr=0.109771 Epoch[038] Batch [2699]/[3760] Speed: 61.944076 samples/sec accuracy=40.784144 loss=2.593438 lr=0.109769 Epoch[038] Batch [2749]/[3760] Speed: 61.263351 samples/sec accuracy=40.787500 loss=2.594001 lr=0.109768 Epoch[038] Batch [2799]/[3760] Speed: 62.432839 samples/sec accuracy=40.784040 loss=2.594192 lr=0.109767 Epoch[038] Batch [2849]/[3760] Speed: 62.049321 samples/sec accuracy=40.788377 loss=2.594075 lr=0.109765 Epoch[038] Batch [2899]/[3760] Speed: 61.549167 samples/sec accuracy=40.773707 loss=2.594884 lr=0.109764 Epoch[038] Batch [2949]/[3760] Speed: 62.019529 samples/sec accuracy=40.773305 loss=2.594884 lr=0.109763 Epoch[038] Batch [2999]/[3760] Speed: 61.926345 samples/sec accuracy=40.761458 loss=2.595013 lr=0.109761 Epoch[038] Batch [3049]/[3760] Speed: 61.234855 samples/sec accuracy=40.774590 loss=2.594051 lr=0.109760 Epoch[038] Batch [3099]/[3760] Speed: 62.804964 samples/sec accuracy=40.751512 loss=2.594546 lr=0.109759 Epoch[038] Batch [3149]/[3760] Speed: 61.719244 samples/sec accuracy=40.736111 loss=2.594779 lr=0.109757 Epoch[038] Batch [3199]/[3760] Speed: 61.421141 samples/sec accuracy=40.723145 loss=2.595224 lr=0.109756 Epoch[038] Batch [3249]/[3760] Speed: 61.917434 samples/sec accuracy=40.725481 loss=2.595181 lr=0.109755 Epoch[038] Batch [3299]/[3760] Speed: 62.180110 samples/sec accuracy=40.711648 loss=2.595959 lr=0.109753 Epoch[038] Batch [3349]/[3760] Speed: 61.600280 samples/sec accuracy=40.696828 loss=2.596232 lr=0.109752 Epoch[038] Batch [3399]/[3760] Speed: 61.845988 samples/sec accuracy=40.666360 loss=2.597031 lr=0.109751 Epoch[038] Batch [3449]/[3760] Speed: 61.703993 samples/sec accuracy=40.680707 loss=2.596263 lr=0.109749 Epoch[038] Batch [3499]/[3760] Speed: 61.747318 samples/sec accuracy=40.675893 loss=2.596324 lr=0.109748 Epoch[038] Batch [3549]/[3760] Speed: 62.267068 samples/sec accuracy=40.657570 loss=2.597009 lr=0.109747 Epoch[038] Batch [3599]/[3760] Speed: 61.990029 samples/sec accuracy=40.648438 loss=2.597682 lr=0.109745 Epoch[038] Batch [3649]/[3760] Speed: 61.244448 samples/sec accuracy=40.633134 loss=2.598637 lr=0.109744 Epoch[038] Batch [3699]/[3760] Speed: 62.314447 samples/sec accuracy=40.646115 loss=2.598445 lr=0.109743 Epoch[038] Batch [3749]/[3760] Speed: 66.480981 samples/sec accuracy=40.636250 loss=2.598565 lr=0.109741 Batch [0049]/[0303]: acc-top1=39.375000 acc-top5=65.437500 Batch [0099]/[0303]: acc-top1=39.687500 acc-top5=66.390625 Batch [0149]/[0303]: acc-top1=39.291667 acc-top5=66.572917 Batch [0199]/[0303]: acc-top1=39.218750 acc-top5=66.570312 Batch [0249]/[0303]: acc-top1=39.012500 acc-top5=66.368750 Batch [0299]/[0303]: acc-top1=39.171875 acc-top5=66.708333 [Epoch 038] training: accuracy=40.637467 loss=2.598428 [Epoch 038] speed: 61 samples/sec time cost: 4215.766265 [Epoch 038] validation: acc-top1=39.145008 acc-top5=66.661510 loss=2.818494 Epoch[039] Batch [0049]/[3760] Speed: 40.708955 samples/sec accuracy=39.968750 loss=2.539375 lr=0.109740 Epoch[039] Batch [0099]/[3760] Speed: 60.335000 samples/sec accuracy=40.296875 loss=2.546464 lr=0.109738 Epoch[039] Batch [0149]/[3760] Speed: 61.473413 samples/sec accuracy=39.979167 loss=2.577147 lr=0.109737 Epoch[039] Batch [0199]/[3760] Speed: 60.923968 samples/sec accuracy=40.500000 loss=2.570708 lr=0.109735 Epoch[039] Batch [0249]/[3760] Speed: 61.537696 samples/sec accuracy=40.825000 loss=2.561426 lr=0.109734 Epoch[039] Batch [0299]/[3760] Speed: 61.057446 samples/sec accuracy=41.098958 loss=2.553910 lr=0.109733 Epoch[039] Batch [0349]/[3760] Speed: 62.204986 samples/sec accuracy=41.227679 loss=2.554730 lr=0.109731 Epoch[039] Batch [0399]/[3760] Speed: 61.234308 samples/sec accuracy=41.000000 loss=2.559151 lr=0.109730 Epoch[039] Batch [0449]/[3760] Speed: 62.351940 samples/sec accuracy=40.972222 loss=2.558163 lr=0.109728 Epoch[039] Batch [0499]/[3760] Speed: 61.392026 samples/sec accuracy=40.959375 loss=2.554910 lr=0.109727 Epoch[039] Batch [0549]/[3760] Speed: 62.116382 samples/sec accuracy=41.048295 loss=2.555781 lr=0.109726 Epoch[039] Batch [0599]/[3760] Speed: 61.641182 samples/sec accuracy=41.096354 loss=2.555685 lr=0.109724 Epoch[039] Batch [0649]/[3760] Speed: 62.142234 samples/sec accuracy=41.045673 loss=2.563524 lr=0.109723 Epoch[039] Batch [0699]/[3760] Speed: 61.595830 samples/sec accuracy=41.111607 loss=2.559858 lr=0.109721 Epoch[039] Batch [0749]/[3760] Speed: 62.114623 samples/sec accuracy=41.000000 loss=2.563464 lr=0.109720 Epoch[039] Batch [0799]/[3760] Speed: 62.378139 samples/sec accuracy=41.048828 loss=2.564902 lr=0.109718 Epoch[039] Batch [0849]/[3760] Speed: 61.475161 samples/sec accuracy=41.095588 loss=2.566174 lr=0.109717 Epoch[039] Batch [0899]/[3760] Speed: 62.940955 samples/sec accuracy=40.991319 loss=2.570105 lr=0.109716 Epoch[039] Batch [0949]/[3760] Speed: 61.441753 samples/sec accuracy=41.013158 loss=2.571420 lr=0.109714 Epoch[039] Batch [0999]/[3760] Speed: 62.234088 samples/sec accuracy=40.998438 loss=2.572206 lr=0.109713 Epoch[039] Batch [1049]/[3760] Speed: 62.269884 samples/sec accuracy=40.943452 loss=2.575082 lr=0.109711 Epoch[039] Batch [1099]/[3760] Speed: 61.716800 samples/sec accuracy=41.002841 loss=2.570873 lr=0.109710 Epoch[039] Batch [1149]/[3760] Speed: 62.030452 samples/sec accuracy=40.985054 loss=2.569510 lr=0.109708 Epoch[039] Batch [1199]/[3760] Speed: 61.620445 samples/sec accuracy=41.003906 loss=2.569304 lr=0.109707 Epoch[039] Batch [1249]/[3760] Speed: 62.440810 samples/sec accuracy=40.993750 loss=2.570681 lr=0.109705 Epoch[039] Batch [1299]/[3760] Speed: 61.963317 samples/sec accuracy=40.950721 loss=2.572734 lr=0.109704 Epoch[039] Batch [1349]/[3760] Speed: 61.685868 samples/sec accuracy=40.939815 loss=2.574276 lr=0.109703 Epoch[039] Batch [1399]/[3760] Speed: 62.053184 samples/sec accuracy=40.943080 loss=2.575125 lr=0.109701 Epoch[039] Batch [1449]/[3760] Speed: 61.976062 samples/sec accuracy=40.910560 loss=2.575268 lr=0.109700 Epoch[039] Batch [1499]/[3760] Speed: 61.758359 samples/sec accuracy=40.860417 loss=2.576600 lr=0.109698 Epoch[039] Batch [1549]/[3760] Speed: 62.430755 samples/sec accuracy=40.850806 loss=2.577922 lr=0.109697 Epoch[039] Batch [1599]/[3760] Speed: 62.144458 samples/sec accuracy=40.831055 loss=2.580187 lr=0.109695 Epoch[039] Batch [1649]/[3760] Speed: 61.119078 samples/sec accuracy=40.836174 loss=2.580501 lr=0.109694 Epoch[039] Batch [1699]/[3760] Speed: 62.011467 samples/sec accuracy=40.829044 loss=2.580545 lr=0.109692 Epoch[039] Batch [1749]/[3760] Speed: 61.759918 samples/sec accuracy=40.853571 loss=2.579176 lr=0.109691 Epoch[039] Batch [1799]/[3760] Speed: 61.939287 samples/sec accuracy=40.822049 loss=2.580920 lr=0.109689 Epoch[039] Batch [1849]/[3760] Speed: 62.026326 samples/sec accuracy=40.804899 loss=2.581252 lr=0.109688 Epoch[039] Batch [1899]/[3760] Speed: 61.840993 samples/sec accuracy=40.810033 loss=2.581130 lr=0.109686 Epoch[039] Batch [1949]/[3760] Speed: 61.537260 samples/sec accuracy=40.825321 loss=2.581926 lr=0.109685 Epoch[039] Batch [1999]/[3760] Speed: 62.178656 samples/sec accuracy=40.807813 loss=2.582925 lr=0.109683 Epoch[039] Batch [2049]/[3760] Speed: 61.779408 samples/sec accuracy=40.842988 loss=2.582376 lr=0.109682 Epoch[039] Batch [2099]/[3760] Speed: 61.842376 samples/sec accuracy=40.836310 loss=2.582291 lr=0.109680 Epoch[039] Batch [2149]/[3760] Speed: 62.040599 samples/sec accuracy=40.795785 loss=2.583567 lr=0.109678 Epoch[039] Batch [2199]/[3760] Speed: 62.226529 samples/sec accuracy=40.803977 loss=2.583374 lr=0.109677 Epoch[039] Batch [2249]/[3760] Speed: 62.048696 samples/sec accuracy=40.804861 loss=2.583692 lr=0.109675 Epoch[039] Batch [2299]/[3760] Speed: 61.439810 samples/sec accuracy=40.813859 loss=2.583013 lr=0.109674 Epoch[039] Batch [2349]/[3760] Speed: 61.802507 samples/sec accuracy=40.822473 loss=2.583400 lr=0.109672 Epoch[039] Batch [2399]/[3760] Speed: 61.643987 samples/sec accuracy=40.794922 loss=2.584480 lr=0.109671 Epoch[039] Batch [2449]/[3760] Speed: 61.703820 samples/sec accuracy=40.799745 loss=2.585768 lr=0.109669 Epoch[039] Batch [2499]/[3760] Speed: 62.290186 samples/sec accuracy=40.790000 loss=2.586480 lr=0.109668 Epoch[039] Batch [2549]/[3760] Speed: 61.863205 samples/sec accuracy=40.773897 loss=2.587374 lr=0.109666 Epoch[039] Batch [2599]/[3760] Speed: 62.020275 samples/sec accuracy=40.758413 loss=2.588270 lr=0.109665 Epoch[039] Batch [2649]/[3760] Speed: 61.914801 samples/sec accuracy=40.762972 loss=2.588078 lr=0.109663 Epoch[039] Batch [2699]/[3760] Speed: 62.240915 samples/sec accuracy=40.761574 loss=2.587923 lr=0.109661 Epoch[039] Batch [2749]/[3760] Speed: 61.945662 samples/sec accuracy=40.734091 loss=2.589014 lr=0.109660 Epoch[039] Batch [2799]/[3760] Speed: 62.090796 samples/sec accuracy=40.720982 loss=2.588628 lr=0.109658 Epoch[039] Batch [2849]/[3760] Speed: 62.098570 samples/sec accuracy=40.694627 loss=2.590019 lr=0.109657 Epoch[039] Batch [2899]/[3760] Speed: 61.683007 samples/sec accuracy=40.727371 loss=2.589238 lr=0.109655 Epoch[039] Batch [2949]/[3760] Speed: 62.363491 samples/sec accuracy=40.718220 loss=2.589489 lr=0.109653 Epoch[039] Batch [2999]/[3760] Speed: 62.115687 samples/sec accuracy=40.710417 loss=2.590071 lr=0.109652 Epoch[039] Batch [3049]/[3760] Speed: 61.507079 samples/sec accuracy=40.716701 loss=2.590927 lr=0.109650 Epoch[039] Batch [3099]/[3760] Speed: 62.373909 samples/sec accuracy=40.711694 loss=2.591142 lr=0.109649 Epoch[039] Batch [3149]/[3760] Speed: 61.883429 samples/sec accuracy=40.702381 loss=2.591231 lr=0.109647 Epoch[039] Batch [3199]/[3760] Speed: 61.723751 samples/sec accuracy=40.674805 loss=2.592684 lr=0.109645 Epoch[039] Batch [3249]/[3760] Speed: 61.830488 samples/sec accuracy=40.662981 loss=2.592858 lr=0.109644 Epoch[039] Batch [3299]/[3760] Speed: 62.106369 samples/sec accuracy=40.659564 loss=2.593248 lr=0.109642 Epoch[039] Batch [3349]/[3760] Speed: 62.390641 samples/sec accuracy=40.656250 loss=2.593187 lr=0.109641 Epoch[039] Batch [3399]/[3760] Speed: 61.322815 samples/sec accuracy=40.669577 loss=2.592553 lr=0.109639 Epoch[039] Batch [3449]/[3760] Speed: 62.127335 samples/sec accuracy=40.668931 loss=2.593040 lr=0.109637 Epoch[039] Batch [3499]/[3760] Speed: 61.320915 samples/sec accuracy=40.687500 loss=2.592526 lr=0.109636 Epoch[039] Batch [3549]/[3760] Speed: 62.177247 samples/sec accuracy=40.670775 loss=2.593087 lr=0.109634 Epoch[039] Batch [3599]/[3760] Speed: 61.425296 samples/sec accuracy=40.654948 loss=2.593172 lr=0.109633 Epoch[039] Batch [3649]/[3760] Speed: 62.450812 samples/sec accuracy=40.647688 loss=2.593748 lr=0.109631 Epoch[039] Batch [3699]/[3760] Speed: 61.587714 samples/sec accuracy=40.649071 loss=2.593743 lr=0.109629 Epoch[039] Batch [3749]/[3760] Speed: 67.020681 samples/sec accuracy=40.663750 loss=2.593130 lr=0.109628 Batch [0049]/[0303]: acc-top1=37.843750 acc-top5=65.718750 Batch [0099]/[0303]: acc-top1=38.625000 acc-top5=66.687500 Batch [0149]/[0303]: acc-top1=39.041667 acc-top5=66.750000 Batch [0199]/[0303]: acc-top1=39.015625 acc-top5=66.773438 Batch [0249]/[0303]: acc-top1=38.812500 acc-top5=66.493750 Batch [0299]/[0303]: acc-top1=39.296875 acc-top5=66.791667 [Epoch 039] training: accuracy=40.668218 loss=2.593218 [Epoch 039] speed: 61 samples/sec time cost: 4211.501364 [Epoch 039] validation: acc-top1=39.273927 acc-top5=66.769802 loss=2.828293 Epoch[040] Batch [0049]/[3759] Speed: 40.615758 samples/sec accuracy=41.656250 loss=2.576375 lr=0.109626 Epoch[040] Batch [0099]/[3759] Speed: 59.713106 samples/sec accuracy=41.781250 loss=2.526510 lr=0.109624 Epoch[040] Batch [0149]/[3759] Speed: 61.564680 samples/sec accuracy=41.562500 loss=2.535728 lr=0.109622 Epoch[040] Batch [0199]/[3759] Speed: 60.831738 samples/sec accuracy=41.515625 loss=2.536367 lr=0.109621 Epoch[040] Batch [0249]/[3759] Speed: 61.371268 samples/sec accuracy=41.606250 loss=2.537768 lr=0.109619 Epoch[040] Batch [0299]/[3759] Speed: 61.134751 samples/sec accuracy=41.531250 loss=2.537244 lr=0.109617 Epoch[040] Batch [0349]/[3759] Speed: 61.940267 samples/sec accuracy=41.629464 loss=2.539102 lr=0.109616 Epoch[040] Batch [0399]/[3759] Speed: 60.928566 samples/sec accuracy=41.562500 loss=2.544752 lr=0.109614 Epoch[040] Batch [0449]/[3759] Speed: 62.951926 samples/sec accuracy=41.739583 loss=2.537432 lr=0.109612 Epoch[040] Batch [0499]/[3759] Speed: 61.689606 samples/sec accuracy=41.537500 loss=2.546242 lr=0.109611 Epoch[040] Batch [0549]/[3759] Speed: 62.834586 samples/sec accuracy=41.610795 loss=2.541529 lr=0.109609 Epoch[040] Batch [0599]/[3759] Speed: 61.097050 samples/sec accuracy=41.588542 loss=2.545505 lr=0.109607 Epoch[040] Batch [0649]/[3759] Speed: 62.321803 samples/sec accuracy=41.562500 loss=2.548149 lr=0.109606 Epoch[040] Batch [0699]/[3759] Speed: 62.013972 samples/sec accuracy=41.484375 loss=2.552176 lr=0.109604 Epoch[040] Batch [0749]/[3759] Speed: 62.118259 samples/sec accuracy=41.512500 loss=2.549795 lr=0.109602 Epoch[040] Batch [0799]/[3759] Speed: 61.691439 samples/sec accuracy=41.490234 loss=2.551456 lr=0.109600 Epoch[040] Batch [0849]/[3759] Speed: 62.574871 samples/sec accuracy=41.466912 loss=2.552690 lr=0.109599 Epoch[040] Batch [0899]/[3759] Speed: 62.049224 samples/sec accuracy=41.500000 loss=2.551950 lr=0.109597 Epoch[040] Batch [0949]/[3759] Speed: 61.859451 samples/sec accuracy=41.495066 loss=2.551764 lr=0.109595 Epoch[040] Batch [0999]/[3759] Speed: 62.419500 samples/sec accuracy=41.562500 loss=2.551504 lr=0.109594 Epoch[040] Batch [1049]/[3759] Speed: 62.122160 samples/sec accuracy=41.489583 loss=2.556817 lr=0.109592 Epoch[040] Batch [1099]/[3759] Speed: 61.604372 samples/sec accuracy=41.525568 loss=2.555471 lr=0.109590 Epoch[040] Batch [1149]/[3759] Speed: 62.505251 samples/sec accuracy=41.527174 loss=2.554048 lr=0.109588 Epoch[040] Batch [1199]/[3759] Speed: 61.667769 samples/sec accuracy=41.511719 loss=2.555482 lr=0.109587 Epoch[040] Batch [1249]/[3759] Speed: 62.196286 samples/sec accuracy=41.530000 loss=2.556588 lr=0.109585 Epoch[040] Batch [1299]/[3759] Speed: 61.735407 samples/sec accuracy=41.485577 loss=2.558718 lr=0.109583 Epoch[040] Batch [1349]/[3759] Speed: 61.923909 samples/sec accuracy=41.450231 loss=2.559899 lr=0.109581 Epoch[040] Batch [1399]/[3759] Speed: 62.045552 samples/sec accuracy=41.433036 loss=2.560193 lr=0.109580 Epoch[040] Batch [1449]/[3759] Speed: 61.645822 samples/sec accuracy=41.428879 loss=2.560853 lr=0.109578 Epoch[040] Batch [1499]/[3759] Speed: 62.060843 samples/sec accuracy=41.405208 loss=2.561676 lr=0.109576 Epoch[040] Batch [1549]/[3759] Speed: 61.887535 samples/sec accuracy=41.402218 loss=2.561999 lr=0.109574 Epoch[040] Batch [1599]/[3759] Speed: 62.297794 samples/sec accuracy=41.336914 loss=2.566114 lr=0.109573 Epoch[040] Batch [1649]/[3759] Speed: 61.420714 samples/sec accuracy=41.296402 loss=2.567256 lr=0.109571 Epoch[040] Batch [1699]/[3759] Speed: 62.036847 samples/sec accuracy=41.285846 loss=2.569280 lr=0.109569 Epoch[040] Batch [1749]/[3759] Speed: 61.965618 samples/sec accuracy=41.296429 loss=2.568971 lr=0.109567 Epoch[040] Batch [1799]/[3759] Speed: 62.154113 samples/sec accuracy=41.303819 loss=2.569110 lr=0.109566 Epoch[040] Batch [1849]/[3759] Speed: 62.025385 samples/sec accuracy=41.297297 loss=2.569985 lr=0.109564 Epoch[040] Batch [1899]/[3759] Speed: 62.265449 samples/sec accuracy=41.279605 loss=2.571923 lr=0.109562 Epoch[040] Batch [1949]/[3759] Speed: 62.179797 samples/sec accuracy=41.331731 loss=2.571134 lr=0.109560 Epoch[040] Batch [1999]/[3759] Speed: 61.806523 samples/sec accuracy=41.319531 loss=2.571267 lr=0.109558 Epoch[040] Batch [2049]/[3759] Speed: 61.988390 samples/sec accuracy=41.325457 loss=2.571428 lr=0.109557 Epoch[040] Batch [2099]/[3759] Speed: 61.841503 samples/sec accuracy=41.331845 loss=2.570484 lr=0.109555 Epoch[040] Batch [2149]/[3759] Speed: 62.185994 samples/sec accuracy=41.308866 loss=2.571407 lr=0.109553 Epoch[040] Batch [2199]/[3759] Speed: 61.962690 samples/sec accuracy=41.299716 loss=2.571542 lr=0.109551 Epoch[040] Batch [2249]/[3759] Speed: 62.403014 samples/sec accuracy=41.275000 loss=2.573116 lr=0.109549 Epoch[040] Batch [2299]/[3759] Speed: 61.698054 samples/sec accuracy=41.270380 loss=2.573640 lr=0.109548 Epoch[040] Batch [2349]/[3759] Speed: 61.892894 samples/sec accuracy=41.229388 loss=2.574916 lr=0.109546 Epoch[040] Batch [2399]/[3759] Speed: 62.001087 samples/sec accuracy=41.200521 loss=2.575317 lr=0.109544 Epoch[040] Batch [2449]/[3759] Speed: 62.109447 samples/sec accuracy=41.187500 loss=2.576177 lr=0.109542 Epoch[040] Batch [2499]/[3759] Speed: 61.972222 samples/sec accuracy=41.153125 loss=2.577110 lr=0.109540 Epoch[040] Batch [2549]/[3759] Speed: 62.209542 samples/sec accuracy=41.144608 loss=2.577010 lr=0.109538 Epoch[040] Batch [2599]/[3759] Speed: 61.582631 samples/sec accuracy=41.128606 loss=2.577726 lr=0.109537 Epoch[040] Batch [2649]/[3759] Speed: 62.049481 samples/sec accuracy=41.112618 loss=2.578675 lr=0.109535 Epoch[040] Batch [2699]/[3759] Speed: 61.760169 samples/sec accuracy=41.106481 loss=2.579740 lr=0.109533 Epoch[040] Batch [2749]/[3759] Speed: 61.546492 samples/sec accuracy=41.097159 loss=2.580460 lr=0.109531 Epoch[040] Batch [2799]/[3759] Speed: 62.381403 samples/sec accuracy=41.094866 loss=2.581146 lr=0.109529 Epoch[040] Batch [2849]/[3759] Speed: 62.237629 samples/sec accuracy=41.069627 loss=2.582708 lr=0.109527 Epoch[040] Batch [2899]/[3759] Speed: 61.834887 samples/sec accuracy=41.075431 loss=2.582458 lr=0.109526 Epoch[040] Batch [2949]/[3759] Speed: 62.372301 samples/sec accuracy=41.068326 loss=2.582412 lr=0.109524 Epoch[040] Batch [2999]/[3759] Speed: 61.977101 samples/sec accuracy=41.056250 loss=2.582537 lr=0.109522 Epoch[040] Batch [3049]/[3759] Speed: 61.576508 samples/sec accuracy=41.039447 loss=2.582465 lr=0.109520 Epoch[040] Batch [3099]/[3759] Speed: 62.100401 samples/sec accuracy=41.021673 loss=2.583622 lr=0.109518 Epoch[040] Batch [3149]/[3759] Speed: 62.059170 samples/sec accuracy=41.000992 loss=2.584589 lr=0.109516 Epoch[040] Batch [3199]/[3759] Speed: 61.663916 samples/sec accuracy=40.998047 loss=2.584754 lr=0.109514 Epoch[040] Batch [3249]/[3759] Speed: 62.346665 samples/sec accuracy=40.992788 loss=2.585375 lr=0.109512 Epoch[040] Batch [3299]/[3759] Speed: 61.868352 samples/sec accuracy=40.985322 loss=2.585410 lr=0.109511 Epoch[040] Batch [3349]/[3759] Speed: 62.274797 samples/sec accuracy=40.985541 loss=2.585049 lr=0.109509 Epoch[040] Batch [3399]/[3759] Speed: 62.070807 samples/sec accuracy=40.966912 loss=2.585835 lr=0.109507 Epoch[040] Batch [3449]/[3759] Speed: 61.889943 samples/sec accuracy=40.964674 loss=2.586115 lr=0.109505 Epoch[040] Batch [3499]/[3759] Speed: 62.053248 samples/sec accuracy=40.961161 loss=2.586280 lr=0.109503 Epoch[040] Batch [3549]/[3759] Speed: 61.977906 samples/sec accuracy=40.963028 loss=2.586081 lr=0.109501 Epoch[040] Batch [3599]/[3759] Speed: 61.755124 samples/sec accuracy=40.953125 loss=2.586166 lr=0.109499 Epoch[040] Batch [3649]/[3759] Speed: 61.910701 samples/sec accuracy=40.961045 loss=2.586395 lr=0.109497 Epoch[040] Batch [3699]/[3759] Speed: 61.748565 samples/sec accuracy=40.956081 loss=2.587069 lr=0.109495 Epoch[040] Batch [3749]/[3759] Speed: 67.554193 samples/sec accuracy=40.925833 loss=2.588536 lr=0.109493 Batch [0049]/[0303]: acc-top1=40.500000 acc-top5=67.468750 Batch [0099]/[0303]: acc-top1=41.531250 acc-top5=68.593750 Batch [0149]/[0303]: acc-top1=41.104167 acc-top5=68.541667 Batch [0199]/[0303]: acc-top1=41.250000 acc-top5=68.625000 Batch [0249]/[0303]: acc-top1=41.018750 acc-top5=68.281250 Batch [0299]/[0303]: acc-top1=41.239583 acc-top5=68.286458 [Epoch 040] training: accuracy=40.926776 loss=2.588657 [Epoch 040] speed: 61 samples/sec time cost: 4207.436085 [Epoch 040] validation: acc-top1=41.248969 acc-top5=68.249794 loss=2.841443 Epoch[041] Batch [0049]/[3760] Speed: 41.284798 samples/sec accuracy=42.562500 loss=2.516699 lr=0.109491 Epoch[041] Batch [0099]/[3760] Speed: 60.023497 samples/sec accuracy=41.843750 loss=2.541069 lr=0.109489 Epoch[041] Batch [0149]/[3760] Speed: 61.448380 samples/sec accuracy=41.687500 loss=2.541692 lr=0.109487 Epoch[041] Batch [0199]/[3760] Speed: 61.006741 samples/sec accuracy=41.593750 loss=2.552587 lr=0.109485 Epoch[041] Batch [0249]/[3760] Speed: 61.588745 samples/sec accuracy=41.562500 loss=2.542600 lr=0.109483 Epoch[041] Batch [0299]/[3760] Speed: 61.863322 samples/sec accuracy=41.588542 loss=2.534660 lr=0.109481 Epoch[041] Batch [0349]/[3760] Speed: 61.761076 samples/sec accuracy=41.535714 loss=2.540982 lr=0.109479 Epoch[041] Batch [0399]/[3760] Speed: 60.765376 samples/sec accuracy=41.476562 loss=2.541185 lr=0.109478 Epoch[041] Batch [0449]/[3760] Speed: 63.017285 samples/sec accuracy=41.531250 loss=2.540629 lr=0.109476 Epoch[041] Batch [0499]/[3760] Speed: 61.743793 samples/sec accuracy=41.537500 loss=2.544126 lr=0.109474 Epoch[041] Batch [0549]/[3760] Speed: 62.102016 samples/sec accuracy=41.468750 loss=2.542680 lr=0.109472 Epoch[041] Batch [0599]/[3760] Speed: 61.492551 samples/sec accuracy=41.419271 loss=2.546831 lr=0.109470 Epoch[041] Batch [0649]/[3760] Speed: 61.861694 samples/sec accuracy=41.384615 loss=2.547370 lr=0.109468 Epoch[041] Batch [0699]/[3760] Speed: 60.644700 samples/sec accuracy=41.404018 loss=2.545662 lr=0.109466 Epoch[041] Batch [0749]/[3760] Speed: 62.289680 samples/sec accuracy=41.483333 loss=2.545410 lr=0.109464 Epoch[041] Batch [0799]/[3760] Speed: 61.488316 samples/sec accuracy=41.416016 loss=2.548330 lr=0.109462 Epoch[041] Batch [0849]/[3760] Speed: 62.272344 samples/sec accuracy=41.426471 loss=2.549751 lr=0.109460 Epoch[041] Batch [0899]/[3760] Speed: 61.698821 samples/sec accuracy=41.444444 loss=2.551038 lr=0.109458 Epoch[041] Batch [0949]/[3760] Speed: 61.415076 samples/sec accuracy=41.457237 loss=2.551940 lr=0.109456 Epoch[041] Batch [0999]/[3760] Speed: 62.403845 samples/sec accuracy=41.415625 loss=2.555837 lr=0.109454 Epoch[041] Batch [1049]/[3760] Speed: 61.296035 samples/sec accuracy=41.433036 loss=2.556718 lr=0.109452 Epoch[041] Batch [1099]/[3760] Speed: 62.296740 samples/sec accuracy=41.443182 loss=2.558063 lr=0.109450 Epoch[041] Batch [1149]/[3760] Speed: 61.379600 samples/sec accuracy=41.434783 loss=2.558097 lr=0.109448 Epoch[041] Batch [1199]/[3760] Speed: 61.864191 samples/sec accuracy=41.399740 loss=2.559817 lr=0.109446 Epoch[041] Batch [1249]/[3760] Speed: 61.624494 samples/sec accuracy=41.477500 loss=2.558304 lr=0.109444 Epoch[041] Batch [1299]/[3760] Speed: 61.717117 samples/sec accuracy=41.495192 loss=2.558136 lr=0.109442 Epoch[041] Batch [1349]/[3760] Speed: 61.698460 samples/sec accuracy=41.484954 loss=2.561394 lr=0.109440 Epoch[041] Batch [1399]/[3760] Speed: 62.574398 samples/sec accuracy=41.406250 loss=2.563764 lr=0.109438 Epoch[041] Batch [1449]/[3760] Speed: 61.277707 samples/sec accuracy=41.462284 loss=2.562907 lr=0.109436 Epoch[041] Batch [1499]/[3760] Speed: 61.154970 samples/sec accuracy=41.404167 loss=2.564440 lr=0.109434 Epoch[041] Batch [1549]/[3760] Speed: 62.083859 samples/sec accuracy=41.369960 loss=2.566055 lr=0.109432 Epoch[041] Batch [1599]/[3760] Speed: 61.483785 samples/sec accuracy=41.353516 loss=2.567059 lr=0.109430 Epoch[041] Batch [1649]/[3760] Speed: 62.032286 samples/sec accuracy=41.334280 loss=2.568786 lr=0.109428 Epoch[041] Batch [1699]/[3760] Speed: 61.662448 samples/sec accuracy=41.312500 loss=2.569804 lr=0.109426 Epoch[041] Batch [1749]/[3760] Speed: 61.714817 samples/sec accuracy=41.291071 loss=2.571284 lr=0.109424 Epoch[041] Batch [1799]/[3760] Speed: 62.131854 samples/sec accuracy=41.250000 loss=2.572534 lr=0.109421 Epoch[041] Batch [1849]/[3760] Speed: 62.273783 samples/sec accuracy=41.232264 loss=2.572961 lr=0.109419 Epoch[041] Batch [1899]/[3760] Speed: 61.735975 samples/sec accuracy=41.215461 loss=2.573560 lr=0.109417 Epoch[041] Batch [1949]/[3760] Speed: 61.932255 samples/sec accuracy=41.176282 loss=2.575694 lr=0.109415 Epoch[041] Batch [1999]/[3760] Speed: 61.670850 samples/sec accuracy=41.187500 loss=2.574967 lr=0.109413 Epoch[041] Batch [2049]/[3760] Speed: 61.702355 samples/sec accuracy=41.166921 loss=2.575596 lr=0.109411 Epoch[041] Batch [2099]/[3760] Speed: 62.017719 samples/sec accuracy=41.152530 loss=2.576282 lr=0.109409 Epoch[041] Batch [2149]/[3760] Speed: 61.843097 samples/sec accuracy=41.095930 loss=2.578113 lr=0.109407 Epoch[041] Batch [2199]/[3760] Speed: 62.242988 samples/sec accuracy=41.107244 loss=2.577949 lr=0.109405 Epoch[041] Batch [2249]/[3760] Speed: 61.774083 samples/sec accuracy=41.106944 loss=2.577466 lr=0.109403 Epoch[041] Batch [2299]/[3760] Speed: 61.965234 samples/sec accuracy=41.108016 loss=2.578012 lr=0.109401 Epoch[041] Batch [2349]/[3760] Speed: 61.715052 samples/sec accuracy=41.121676 loss=2.578259 lr=0.109399 Epoch[041] Batch [2399]/[3760] Speed: 61.937776 samples/sec accuracy=41.128255 loss=2.578313 lr=0.109397 Epoch[041] Batch [2449]/[3760] Speed: 62.005259 samples/sec accuracy=41.106505 loss=2.578906 lr=0.109395 Epoch[041] Batch [2499]/[3760] Speed: 61.678290 samples/sec accuracy=41.073125 loss=2.579897 lr=0.109392 Epoch[041] Batch [2549]/[3760] Speed: 61.795557 samples/sec accuracy=41.060049 loss=2.581342 lr=0.109390 Epoch[041] Batch [2599]/[3760] Speed: 62.264281 samples/sec accuracy=41.027043 loss=2.582513 lr=0.109388 Epoch[041] Batch [2649]/[3760] Speed: 61.663870 samples/sec accuracy=41.045991 loss=2.581410 lr=0.109386 Epoch[041] Batch [2699]/[3760] Speed: 61.524124 samples/sec accuracy=41.040509 loss=2.581767 lr=0.109384 Epoch[041] Batch [2749]/[3760] Speed: 62.421157 samples/sec accuracy=41.052273 loss=2.580914 lr=0.109382 Epoch[041] Batch [2799]/[3760] Speed: 61.241220 samples/sec accuracy=41.061384 loss=2.580284 lr=0.109380 Epoch[041] Batch [2849]/[3760] Speed: 61.909558 samples/sec accuracy=41.058114 loss=2.580600 lr=0.109378 Epoch[041] Batch [2899]/[3760] Speed: 61.574084 samples/sec accuracy=41.052263 loss=2.580292 lr=0.109375 Epoch[041] Batch [2949]/[3760] Speed: 61.794174 samples/sec accuracy=41.039195 loss=2.581277 lr=0.109373 Epoch[041] Batch [2999]/[3760] Speed: 62.221850 samples/sec accuracy=41.033854 loss=2.582315 lr=0.109371 Epoch[041] Batch [3049]/[3760] Speed: 61.441546 samples/sec accuracy=41.009734 loss=2.583691 lr=0.109369 Epoch[041] Batch [3099]/[3760] Speed: 61.792592 samples/sec accuracy=41.003024 loss=2.583984 lr=0.109367 Epoch[041] Batch [3149]/[3760] Speed: 62.109844 samples/sec accuracy=41.010417 loss=2.583276 lr=0.109365 Epoch[041] Batch [3199]/[3760] Speed: 62.053371 samples/sec accuracy=40.994629 loss=2.584239 lr=0.109363 Epoch[041] Batch [3249]/[3760] Speed: 61.977709 samples/sec accuracy=40.982692 loss=2.584736 lr=0.109360 Epoch[041] Batch [3299]/[3760] Speed: 62.074598 samples/sec accuracy=40.984375 loss=2.584613 lr=0.109358 Epoch[041] Batch [3349]/[3760] Speed: 61.663993 samples/sec accuracy=40.990672 loss=2.584670 lr=0.109356 Epoch[041] Batch [3399]/[3760] Speed: 62.161065 samples/sec accuracy=40.972426 loss=2.586419 lr=0.109354 Epoch[041] Batch [3449]/[3760] Speed: 62.087025 samples/sec accuracy=40.983243 loss=2.585809 lr=0.109352 Epoch[041] Batch [3499]/[3760] Speed: 62.149857 samples/sec accuracy=40.991518 loss=2.585877 lr=0.109350 Epoch[041] Batch [3549]/[3760] Speed: 61.581490 samples/sec accuracy=40.972271 loss=2.586602 lr=0.109347 Epoch[041] Batch [3599]/[3760] Speed: 61.705692 samples/sec accuracy=40.979167 loss=2.586195 lr=0.109345 Epoch[041] Batch [3649]/[3760] Speed: 61.658811 samples/sec accuracy=40.970890 loss=2.586102 lr=0.109343 Epoch[041] Batch [3699]/[3760] Speed: 62.102720 samples/sec accuracy=40.953125 loss=2.586495 lr=0.109341 Epoch[041] Batch [3749]/[3760] Speed: 67.016538 samples/sec accuracy=40.951667 loss=2.586380 lr=0.109339 Batch [0049]/[0303]: acc-top1=40.468750 acc-top5=67.625000 Batch [0099]/[0303]: acc-top1=42.078125 acc-top5=68.750000 Batch [0149]/[0303]: acc-top1=41.843750 acc-top5=68.875000 Batch [0199]/[0303]: acc-top1=41.929688 acc-top5=69.007812 Batch [0249]/[0303]: acc-top1=41.650000 acc-top5=68.900000 Batch [0299]/[0303]: acc-top1=41.854167 acc-top5=69.286458 [Epoch 041] training: accuracy=40.954953 loss=2.586416 [Epoch 041] speed: 61 samples/sec time cost: 4217.003656 [Epoch 041] validation: acc-top1=41.852310 acc-top5=69.286304 loss=2.673595 Epoch[042] Batch [0049]/[3760] Speed: 41.571343 samples/sec accuracy=42.468750 loss=2.515847 lr=0.109336 Epoch[042] Batch [0099]/[3760] Speed: 60.032429 samples/sec accuracy=41.953125 loss=2.526008 lr=0.109334 Epoch[042] Batch [0149]/[3760] Speed: 61.436680 samples/sec accuracy=41.572917 loss=2.532537 lr=0.109332 Epoch[042] Batch [0199]/[3760] Speed: 61.781763 samples/sec accuracy=41.937500 loss=2.522849 lr=0.109329 Epoch[042] Batch [0249]/[3760] Speed: 61.783236 samples/sec accuracy=41.943750 loss=2.517928 lr=0.109327 Epoch[042] Batch [0299]/[3760] Speed: 61.367708 samples/sec accuracy=41.911458 loss=2.526427 lr=0.109325 Epoch[042] Batch [0349]/[3760] Speed: 62.009375 samples/sec accuracy=41.656250 loss=2.538224 lr=0.109323 Epoch[042] Batch [0399]/[3760] Speed: 61.233169 samples/sec accuracy=41.410156 loss=2.548448 lr=0.109321 Epoch[042] Batch [0449]/[3760] Speed: 62.344623 samples/sec accuracy=41.305556 loss=2.551944 lr=0.109318 Epoch[042] Batch [0499]/[3760] Speed: 62.231319 samples/sec accuracy=41.418750 loss=2.550275 lr=0.109316 Epoch[042] Batch [0549]/[3760] Speed: 61.547086 samples/sec accuracy=41.392045 loss=2.552809 lr=0.109314 Epoch[042] Batch [0599]/[3760] Speed: 62.411468 samples/sec accuracy=41.382812 loss=2.554202 lr=0.109312 Epoch[042] Batch [0649]/[3760] Speed: 62.155118 samples/sec accuracy=41.310096 loss=2.560572 lr=0.109309 Epoch[042] Batch [0699]/[3760] Speed: 62.076953 samples/sec accuracy=41.421875 loss=2.556893 lr=0.109307 Epoch[042] Batch [0749]/[3760] Speed: 61.508625 samples/sec accuracy=41.420833 loss=2.557610 lr=0.109305 Epoch[042] Batch [0799]/[3760] Speed: 62.025098 samples/sec accuracy=41.402344 loss=2.559135 lr=0.109303 Epoch[042] Batch [0849]/[3760] Speed: 61.472404 samples/sec accuracy=41.294118 loss=2.565925 lr=0.109300 Epoch[042] Batch [0899]/[3760] Speed: 61.988441 samples/sec accuracy=41.373264 loss=2.563191 lr=0.109298 Epoch[042] Batch [0949]/[3760] Speed: 61.588817 samples/sec accuracy=41.389803 loss=2.563130 lr=0.109296 Epoch[042] Batch [0999]/[3760] Speed: 62.191777 samples/sec accuracy=41.346875 loss=2.566094 lr=0.109294 Epoch[042] Batch [1049]/[3760] Speed: 61.579246 samples/sec accuracy=41.343750 loss=2.566724 lr=0.109291 Epoch[042] Batch [1099]/[3760] Speed: 61.994909 samples/sec accuracy=41.349432 loss=2.565274 lr=0.109289 Epoch[042] Batch [1149]/[3760] Speed: 61.731727 samples/sec accuracy=41.322011 loss=2.566408 lr=0.109287 Epoch[042] Batch [1199]/[3760] Speed: 61.387169 samples/sec accuracy=41.350260 loss=2.564022 lr=0.109285 Epoch[042] Batch [1249]/[3760] Speed: 62.712880 samples/sec accuracy=41.347500 loss=2.563385 lr=0.109282 Epoch[042] Batch [1299]/[3760] Speed: 61.820947 samples/sec accuracy=41.305288 loss=2.563831 lr=0.109280 Epoch[042] Batch [1349]/[3760] Speed: 62.406884 samples/sec accuracy=41.283565 loss=2.563113 lr=0.109278 Epoch[042] Batch [1399]/[3760] Speed: 61.705436 samples/sec accuracy=41.224330 loss=2.564501 lr=0.109275 Epoch[042] Batch [1449]/[3760] Speed: 61.684550 samples/sec accuracy=41.237069 loss=2.564636 lr=0.109273 Epoch[042] Batch [1499]/[3760] Speed: 61.592021 samples/sec accuracy=41.258333 loss=2.564309 lr=0.109271 Epoch[042] Batch [1549]/[3760] Speed: 62.225100 samples/sec accuracy=41.226815 loss=2.566678 lr=0.109269 Epoch[042] Batch [1599]/[3760] Speed: 61.634227 samples/sec accuracy=41.188477 loss=2.568822 lr=0.109266 Epoch[042] Batch [1649]/[3760] Speed: 62.279778 samples/sec accuracy=41.162879 loss=2.569906 lr=0.109264 Epoch[042] Batch [1699]/[3760] Speed: 61.861002 samples/sec accuracy=41.139706 loss=2.571341 lr=0.109262 Epoch[042] Batch [1749]/[3760] Speed: 61.961172 samples/sec accuracy=41.130357 loss=2.572013 lr=0.109259 Epoch[042] Batch [1799]/[3760] Speed: 61.985936 samples/sec accuracy=41.136285 loss=2.572439 lr=0.109257 Epoch[042] Batch [1849]/[3760] Speed: 61.295821 samples/sec accuracy=41.183277 loss=2.571077 lr=0.109255 Epoch[042] Batch [1899]/[3760] Speed: 62.645996 samples/sec accuracy=41.209704 loss=2.569862 lr=0.109252 Epoch[042] Batch [1949]/[3760] Speed: 61.410317 samples/sec accuracy=41.196314 loss=2.569665 lr=0.109250 Epoch[042] Batch [1999]/[3760] Speed: 62.346224 samples/sec accuracy=41.171875 loss=2.570451 lr=0.109248 Epoch[042] Batch [2049]/[3760] Speed: 61.576257 samples/sec accuracy=41.175305 loss=2.570356 lr=0.109245 Epoch[042] Batch [2099]/[3760] Speed: 62.174085 samples/sec accuracy=41.168899 loss=2.571352 lr=0.109243 Epoch[042] Batch [2149]/[3760] Speed: 61.749455 samples/sec accuracy=41.147529 loss=2.571767 lr=0.109241 Epoch[042] Batch [2199]/[3760] Speed: 61.989864 samples/sec accuracy=41.134233 loss=2.572033 lr=0.109238 Epoch[042] Batch [2249]/[3760] Speed: 61.335237 samples/sec accuracy=41.168750 loss=2.571137 lr=0.109236 Epoch[042] Batch [2299]/[3760] Speed: 62.665553 samples/sec accuracy=41.152853 loss=2.572047 lr=0.109234 Epoch[042] Batch [2349]/[3760] Speed: 61.116999 samples/sec accuracy=41.146277 loss=2.572006 lr=0.109231 Epoch[042] Batch [2399]/[3760] Speed: 62.696694 samples/sec accuracy=41.152995 loss=2.572685 lr=0.109229 Epoch[042] Batch [2449]/[3760] Speed: 61.570960 samples/sec accuracy=41.149872 loss=2.573774 lr=0.109226 Epoch[042] Batch [2499]/[3760] Speed: 62.303841 samples/sec accuracy=41.122500 loss=2.574956 lr=0.109224 Epoch[042] Batch [2549]/[3760] Speed: 62.062203 samples/sec accuracy=41.129289 loss=2.574407 lr=0.109222 Epoch[042] Batch [2599]/[3760] Speed: 61.690676 samples/sec accuracy=41.084736 loss=2.576514 lr=0.109219 Epoch[042] Batch [2649]/[3760] Speed: 62.469023 samples/sec accuracy=41.096108 loss=2.576322 lr=0.109217 Epoch[042] Batch [2699]/[3760] Speed: 62.057098 samples/sec accuracy=41.072338 loss=2.578174 lr=0.109215 Epoch[042] Batch [2749]/[3760] Speed: 62.018915 samples/sec accuracy=41.057386 loss=2.579535 lr=0.109212 Epoch[042] Batch [2799]/[3760] Speed: 62.465583 samples/sec accuracy=41.042969 loss=2.579915 lr=0.109210 Epoch[042] Batch [2849]/[3760] Speed: 61.466942 samples/sec accuracy=41.047149 loss=2.579138 lr=0.109207 Epoch[042] Batch [2899]/[3760] Speed: 62.032057 samples/sec accuracy=41.038793 loss=2.579675 lr=0.109205 Epoch[042] Batch [2949]/[3760] Speed: 61.568993 samples/sec accuracy=41.014831 loss=2.580201 lr=0.109203 Epoch[042] Batch [2999]/[3760] Speed: 61.792644 samples/sec accuracy=41.015104 loss=2.579811 lr=0.109200 Epoch[042] Batch [3049]/[3760] Speed: 62.095456 samples/sec accuracy=40.999488 loss=2.580011 lr=0.109198 Epoch[042] Batch [3099]/[3760] Speed: 62.069430 samples/sec accuracy=40.997480 loss=2.580213 lr=0.109195 Epoch[042] Batch [3149]/[3760] Speed: 61.359639 samples/sec accuracy=40.987103 loss=2.580068 lr=0.109193 Epoch[042] Batch [3199]/[3760] Speed: 62.385256 samples/sec accuracy=40.987305 loss=2.580771 lr=0.109190 Epoch[042] Batch [3249]/[3760] Speed: 61.770017 samples/sec accuracy=40.981250 loss=2.580947 lr=0.109188 Epoch[042] Batch [3299]/[3760] Speed: 61.790776 samples/sec accuracy=40.988636 loss=2.580401 lr=0.109186 Epoch[042] Batch [3349]/[3760] Speed: 62.025124 samples/sec accuracy=40.976679 loss=2.581484 lr=0.109183 Epoch[042] Batch [3399]/[3760] Speed: 62.348145 samples/sec accuracy=40.984375 loss=2.581367 lr=0.109181 Epoch[042] Batch [3449]/[3760] Speed: 61.696407 samples/sec accuracy=40.967391 loss=2.581758 lr=0.109178 Epoch[042] Batch [3499]/[3760] Speed: 62.102103 samples/sec accuracy=40.957589 loss=2.582806 lr=0.109176 Epoch[042] Batch [3549]/[3760] Speed: 62.214154 samples/sec accuracy=40.952905 loss=2.583464 lr=0.109173 Epoch[042] Batch [3599]/[3760] Speed: 62.081015 samples/sec accuracy=40.934896 loss=2.584055 lr=0.109171 Epoch[042] Batch [3649]/[3760] Speed: 61.397988 samples/sec accuracy=40.919521 loss=2.584592 lr=0.109168 Epoch[042] Batch [3699]/[3760] Speed: 62.285823 samples/sec accuracy=40.926520 loss=2.584615 lr=0.109166 Epoch[042] Batch [3749]/[3760] Speed: 66.794961 samples/sec accuracy=40.919583 loss=2.585000 lr=0.109164 Batch [0049]/[0303]: acc-top1=38.468750 acc-top5=66.750000 Batch [0099]/[0303]: acc-top1=39.781250 acc-top5=67.625000 Batch [0149]/[0303]: acc-top1=39.864583 acc-top5=67.593750 Batch [0199]/[0303]: acc-top1=39.710938 acc-top5=67.453125 Batch [0249]/[0303]: acc-top1=39.725000 acc-top5=67.250000 Batch [0299]/[0303]: acc-top1=40.093750 acc-top5=67.578125 [Epoch 042] training: accuracy=40.923371 loss=2.584942 [Epoch 042] speed: 61 samples/sec time cost: 4209.408675 [Epoch 042] validation: acc-top1=40.088696 acc-top5=67.553630 loss=2.867729 Epoch[043] Batch [0049]/[3759] Speed: 40.725036 samples/sec accuracy=42.156250 loss=2.512248 lr=0.109161 Epoch[043] Batch [0099]/[3759] Speed: 59.709889 samples/sec accuracy=41.656250 loss=2.524686 lr=0.109158 Epoch[043] Batch [0149]/[3759] Speed: 61.090748 samples/sec accuracy=41.552083 loss=2.544768 lr=0.109156 Epoch[043] Batch [0199]/[3759] Speed: 59.973416 samples/sec accuracy=41.734375 loss=2.534963 lr=0.109153 Epoch[043] Batch [0249]/[3759] Speed: 61.788862 samples/sec accuracy=41.856250 loss=2.523397 lr=0.109151 Epoch[043] Batch [0299]/[3759] Speed: 60.886777 samples/sec accuracy=41.812500 loss=2.527783 lr=0.109148 Epoch[043] Batch [0349]/[3759] Speed: 62.059657 samples/sec accuracy=41.866071 loss=2.528038 lr=0.109146 Epoch[043] Batch [0399]/[3759] Speed: 61.720236 samples/sec accuracy=41.617188 loss=2.536377 lr=0.109143 Epoch[043] Batch [0449]/[3759] Speed: 62.284858 samples/sec accuracy=41.503472 loss=2.542170 lr=0.109141 Epoch[043] Batch [0499]/[3759] Speed: 61.381172 samples/sec accuracy=41.465625 loss=2.546814 lr=0.109138 Epoch[043] Batch [0549]/[3759] Speed: 62.497002 samples/sec accuracy=41.485795 loss=2.547322 lr=0.109136 Epoch[043] Batch [0599]/[3759] Speed: 61.723314 samples/sec accuracy=41.375000 loss=2.552567 lr=0.109133 Epoch[043] Batch [0649]/[3759] Speed: 62.000734 samples/sec accuracy=41.336538 loss=2.558450 lr=0.109131 Epoch[043] Batch [0699]/[3759] Speed: 61.981837 samples/sec accuracy=41.466518 loss=2.552506 lr=0.109128 Epoch[043] Batch [0749]/[3759] Speed: 61.362008 samples/sec accuracy=41.472917 loss=2.551842 lr=0.109126 Epoch[043] Batch [0799]/[3759] Speed: 62.290392 samples/sec accuracy=41.468750 loss=2.552464 lr=0.109123 Epoch[043] Batch [0849]/[3759] Speed: 61.551769 samples/sec accuracy=41.481618 loss=2.551815 lr=0.109121 Epoch[043] Batch [0899]/[3759] Speed: 61.746772 samples/sec accuracy=41.447917 loss=2.552340 lr=0.109118 Epoch[043] Batch [0949]/[3759] Speed: 61.949832 samples/sec accuracy=41.488487 loss=2.551544 lr=0.109116 Epoch[043] Batch [0999]/[3759] Speed: 62.571844 samples/sec accuracy=41.503125 loss=2.551582 lr=0.109113 Epoch[043] Batch [1049]/[3759] Speed: 61.964435 samples/sec accuracy=41.385417 loss=2.557473 lr=0.109110 Epoch[043] Batch [1099]/[3759] Speed: 62.084564 samples/sec accuracy=41.376420 loss=2.558551 lr=0.109108 Epoch[043] Batch [1149]/[3759] Speed: 61.656348 samples/sec accuracy=41.373641 loss=2.558806 lr=0.109105 Epoch[043] Batch [1199]/[3759] Speed: 62.239626 samples/sec accuracy=41.423177 loss=2.558484 lr=0.109103 Epoch[043] Batch [1249]/[3759] Speed: 61.536304 samples/sec accuracy=41.446250 loss=2.559102 lr=0.109100 Epoch[043] Batch [1299]/[3759] Speed: 61.467809 samples/sec accuracy=41.493990 loss=2.556823 lr=0.109098 Epoch[043] Batch [1349]/[3759] Speed: 62.177709 samples/sec accuracy=41.444444 loss=2.558457 lr=0.109095 Epoch[043] Batch [1399]/[3759] Speed: 61.691422 samples/sec accuracy=41.421875 loss=2.558947 lr=0.109093 Epoch[043] Batch [1449]/[3759] Speed: 62.291267 samples/sec accuracy=41.400862 loss=2.559730 lr=0.109090 Epoch[043] Batch [1499]/[3759] Speed: 61.749885 samples/sec accuracy=41.395833 loss=2.560073 lr=0.109087 Epoch[043] Batch [1549]/[3759] Speed: 61.962659 samples/sec accuracy=41.351815 loss=2.561907 lr=0.109085 Epoch[043] Batch [1599]/[3759] Speed: 61.390885 samples/sec accuracy=41.340820 loss=2.562237 lr=0.109082 Epoch[043] Batch [1649]/[3759] Speed: 62.005468 samples/sec accuracy=41.322917 loss=2.563902 lr=0.109080 Epoch[043] Batch [1699]/[3759] Speed: 61.736109 samples/sec accuracy=41.295037 loss=2.565437 lr=0.109077 Epoch[043] Batch [1749]/[3759] Speed: 62.452327 samples/sec accuracy=41.274107 loss=2.567232 lr=0.109075 Epoch[043] Batch [1799]/[3759] Speed: 61.591271 samples/sec accuracy=41.273438 loss=2.568063 lr=0.109072 Epoch[043] Batch [1849]/[3759] Speed: 62.087679 samples/sec accuracy=41.260980 loss=2.569258 lr=0.109069 Epoch[043] Batch [1899]/[3759] Speed: 61.861804 samples/sec accuracy=41.252467 loss=2.569544 lr=0.109067 Epoch[043] Batch [1949]/[3759] Speed: 62.037594 samples/sec accuracy=41.210737 loss=2.570045 lr=0.109064 Epoch[043] Batch [1999]/[3759] Speed: 61.738057 samples/sec accuracy=41.193750 loss=2.569055 lr=0.109062 Epoch[043] Batch [2049]/[3759] Speed: 61.941475 samples/sec accuracy=41.175305 loss=2.569449 lr=0.109059 Epoch[043] Batch [2099]/[3759] Speed: 61.788931 samples/sec accuracy=41.177827 loss=2.569809 lr=0.109056 Epoch[043] Batch [2149]/[3759] Speed: 62.137725 samples/sec accuracy=41.170058 loss=2.569752 lr=0.109054 Epoch[043] Batch [2199]/[3759] Speed: 62.126242 samples/sec accuracy=41.136364 loss=2.570941 lr=0.109051 Epoch[043] Batch [2249]/[3759] Speed: 61.380156 samples/sec accuracy=41.155556 loss=2.571159 lr=0.109048 Epoch[043] Batch [2299]/[3759] Speed: 62.390323 samples/sec accuracy=41.131793 loss=2.572843 lr=0.109046 Epoch[043] Batch [2349]/[3759] Speed: 62.054409 samples/sec accuracy=41.107713 loss=2.573983 lr=0.109043 Epoch[043] Batch [2399]/[3759] Speed: 62.182268 samples/sec accuracy=41.105469 loss=2.574398 lr=0.109041 Epoch[043] Batch [2449]/[3759] Speed: 61.998889 samples/sec accuracy=41.080995 loss=2.575464 lr=0.109038 Epoch[043] Batch [2499]/[3759] Speed: 61.726890 samples/sec accuracy=41.066250 loss=2.575517 lr=0.109035 Epoch[043] Batch [2549]/[3759] Speed: 61.989166 samples/sec accuracy=41.068015 loss=2.575895 lr=0.109033 Epoch[043] Batch [2599]/[3759] Speed: 62.167914 samples/sec accuracy=41.073918 loss=2.576035 lr=0.109030 Epoch[043] Batch [2649]/[3759] Speed: 61.436746 samples/sec accuracy=41.060731 loss=2.576822 lr=0.109027 Epoch[043] Batch [2699]/[3759] Speed: 62.159403 samples/sec accuracy=41.069444 loss=2.576631 lr=0.109025 Epoch[043] Batch [2749]/[3759] Speed: 61.919184 samples/sec accuracy=41.075568 loss=2.576869 lr=0.109022 Epoch[043] Batch [2799]/[3759] Speed: 62.024854 samples/sec accuracy=41.089286 loss=2.577195 lr=0.109019 Epoch[043] Batch [2849]/[3759] Speed: 62.371904 samples/sec accuracy=41.082237 loss=2.577852 lr=0.109017 Epoch[043] Batch [2899]/[3759] Speed: 61.768035 samples/sec accuracy=41.071121 loss=2.578379 lr=0.109014 Epoch[043] Batch [2949]/[3759] Speed: 61.938786 samples/sec accuracy=41.092691 loss=2.577602 lr=0.109011 Epoch[043] Batch [2999]/[3759] Speed: 61.816071 samples/sec accuracy=41.107292 loss=2.577853 lr=0.109009 Epoch[043] Batch [3049]/[3759] Speed: 62.195532 samples/sec accuracy=41.110656 loss=2.577341 lr=0.109006 Epoch[043] Batch [3099]/[3759] Speed: 62.107117 samples/sec accuracy=41.108367 loss=2.577192 lr=0.109003 Epoch[043] Batch [3149]/[3759] Speed: 62.375077 samples/sec accuracy=41.095238 loss=2.577578 lr=0.109001 Epoch[043] Batch [3199]/[3759] Speed: 61.456718 samples/sec accuracy=41.088867 loss=2.577883 lr=0.108998 Epoch[043] Batch [3249]/[3759] Speed: 62.577146 samples/sec accuracy=41.107692 loss=2.577909 lr=0.108995 Epoch[043] Batch [3299]/[3759] Speed: 61.223900 samples/sec accuracy=41.106534 loss=2.577681 lr=0.108992 Epoch[043] Batch [3349]/[3759] Speed: 61.912128 samples/sec accuracy=41.095616 loss=2.577863 lr=0.108990 Epoch[043] Batch [3399]/[3759] Speed: 61.950718 samples/sec accuracy=41.088235 loss=2.578140 lr=0.108987 Epoch[043] Batch [3449]/[3759] Speed: 61.630462 samples/sec accuracy=41.095562 loss=2.577790 lr=0.108984 Epoch[043] Batch [3499]/[3759] Speed: 62.285368 samples/sec accuracy=41.084821 loss=2.577918 lr=0.108982 Epoch[043] Batch [3549]/[3759] Speed: 61.902860 samples/sec accuracy=41.082746 loss=2.578476 lr=0.108979 Epoch[043] Batch [3599]/[3759] Speed: 61.535882 samples/sec accuracy=41.078993 loss=2.578218 lr=0.108976 Epoch[043] Batch [3649]/[3759] Speed: 61.784229 samples/sec accuracy=41.073630 loss=2.578516 lr=0.108973 Epoch[043] Batch [3699]/[3759] Speed: 62.117888 samples/sec accuracy=41.088260 loss=2.578101 lr=0.108971 Epoch[043] Batch [3749]/[3759] Speed: 67.356771 samples/sec accuracy=41.077917 loss=2.578034 lr=0.108968 Batch [0049]/[0303]: acc-top1=39.000000 acc-top5=67.562500 Batch [0099]/[0303]: acc-top1=40.203125 acc-top5=68.390625 Batch [0149]/[0303]: acc-top1=40.437500 acc-top5=68.687500 Batch [0199]/[0303]: acc-top1=40.523438 acc-top5=68.445312 Batch [0249]/[0303]: acc-top1=40.306250 acc-top5=68.100000 Batch [0299]/[0303]: acc-top1=40.557292 acc-top5=68.453125 [Epoch 043] training: accuracy=41.076832 loss=2.578238 [Epoch 043] speed: 61 samples/sec time cost: 4212.093391 [Epoch 043] validation: acc-top1=40.527021 acc-top5=68.435437 loss=2.836406 Epoch[044] Batch [0049]/[3760] Speed: 41.480840 samples/sec accuracy=42.312500 loss=2.497490 lr=0.108965 Epoch[044] Batch [0099]/[3760] Speed: 60.144831 samples/sec accuracy=42.078125 loss=2.527631 lr=0.108962 Epoch[044] Batch [0149]/[3760] Speed: 61.287999 samples/sec accuracy=42.218750 loss=2.514859 lr=0.108959 Epoch[044] Batch [0199]/[3760] Speed: 60.511275 samples/sec accuracy=42.289062 loss=2.514835 lr=0.108957 Epoch[044] Batch [0249]/[3760] Speed: 61.773927 samples/sec accuracy=41.968750 loss=2.531871 lr=0.108954 Epoch[044] Batch [0299]/[3760] Speed: 60.850559 samples/sec accuracy=41.859375 loss=2.542444 lr=0.108951 Epoch[044] Batch [0349]/[3760] Speed: 62.050679 samples/sec accuracy=41.928571 loss=2.534669 lr=0.108948 Epoch[044] Batch [0399]/[3760] Speed: 61.200320 samples/sec accuracy=41.847656 loss=2.529777 lr=0.108946 Epoch[044] Batch [0449]/[3760] Speed: 61.963893 samples/sec accuracy=41.836806 loss=2.530181 lr=0.108943 Epoch[044] Batch [0499]/[3760] Speed: 61.447360 samples/sec accuracy=41.868750 loss=2.529773 lr=0.108940 Epoch[044] Batch [0549]/[3760] Speed: 62.416099 samples/sec accuracy=41.696023 loss=2.537647 lr=0.108937 Epoch[044] Batch [0599]/[3760] Speed: 61.424747 samples/sec accuracy=41.572917 loss=2.542084 lr=0.108934 Epoch[044] Batch [0649]/[3760] Speed: 62.502681 samples/sec accuracy=41.572115 loss=2.544561 lr=0.108932 Epoch[044] Batch [0699]/[3760] Speed: 61.848222 samples/sec accuracy=41.540179 loss=2.543675 lr=0.108929 Epoch[044] Batch [0749]/[3760] Speed: 61.411319 samples/sec accuracy=41.452083 loss=2.548556 lr=0.108926 Epoch[044] Batch [0799]/[3760] Speed: 62.380452 samples/sec accuracy=41.511719 loss=2.547949 lr=0.108923 Epoch[044] Batch [0849]/[3760] Speed: 61.132066 samples/sec accuracy=41.485294 loss=2.548350 lr=0.108920 Epoch[044] Batch [0899]/[3760] Speed: 62.791324 samples/sec accuracy=41.461806 loss=2.551949 lr=0.108918 Epoch[044] Batch [0949]/[3760] Speed: 61.832008 samples/sec accuracy=41.491776 loss=2.552207 lr=0.108915 Epoch[044] Batch [0999]/[3760] Speed: 62.206526 samples/sec accuracy=41.523438 loss=2.551517 lr=0.108912 Epoch[044] Batch [1049]/[3760] Speed: 61.739701 samples/sec accuracy=41.501488 loss=2.549924 lr=0.108909 Epoch[044] Batch [1099]/[3760] Speed: 61.739381 samples/sec accuracy=41.482955 loss=2.551257 lr=0.108906 Epoch[044] Batch [1149]/[3760] Speed: 61.702048 samples/sec accuracy=41.459239 loss=2.552013 lr=0.108904 Epoch[044] Batch [1199]/[3760] Speed: 62.152296 samples/sec accuracy=41.519531 loss=2.549806 lr=0.108901 Epoch[044] Batch [1249]/[3760] Speed: 61.868276 samples/sec accuracy=41.477500 loss=2.551118 lr=0.108898 Epoch[044] Batch [1299]/[3760] Speed: 61.839517 samples/sec accuracy=41.397837 loss=2.554545 lr=0.108895 Epoch[044] Batch [1349]/[3760] Speed: 62.311201 samples/sec accuracy=41.417824 loss=2.553759 lr=0.108892 Epoch[044] Batch [1399]/[3760] Speed: 61.978593 samples/sec accuracy=41.409598 loss=2.554942 lr=0.108889 Epoch[044] Batch [1449]/[3760] Speed: 61.842038 samples/sec accuracy=41.451509 loss=2.554210 lr=0.108887 Epoch[044] Batch [1499]/[3760] Speed: 62.323574 samples/sec accuracy=41.421875 loss=2.553442 lr=0.108884 Epoch[044] Batch [1549]/[3760] Speed: 61.564330 samples/sec accuracy=41.452621 loss=2.553797 lr=0.108881 Epoch[044] Batch [1599]/[3760] Speed: 61.644739 samples/sec accuracy=41.415039 loss=2.555865 lr=0.108878 Epoch[044] Batch [1649]/[3760] Speed: 62.068237 samples/sec accuracy=41.439394 loss=2.554849 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62.402673 samples/sec accuracy=41.417151 loss=2.560833 lr=0.108847 Epoch[044] Batch [2199]/[3760] Speed: 62.256904 samples/sec accuracy=41.414773 loss=2.561251 lr=0.108844 Epoch[044] Batch [2249]/[3760] Speed: 61.755307 samples/sec accuracy=41.395833 loss=2.561029 lr=0.108841 Epoch[044] Batch [2299]/[3760] Speed: 61.580129 samples/sec accuracy=41.433424 loss=2.559760 lr=0.108838 Epoch[044] Batch [2349]/[3760] Speed: 61.966618 samples/sec accuracy=41.449468 loss=2.559562 lr=0.108835 Epoch[044] Batch [2399]/[3760] Speed: 61.966617 samples/sec accuracy=41.437500 loss=2.559469 lr=0.108832 Epoch[044] Batch [2449]/[3760] Speed: 62.238197 samples/sec accuracy=41.441964 loss=2.560237 lr=0.108829 Epoch[044] Batch [2499]/[3760] Speed: 62.034782 samples/sec accuracy=41.400625 loss=2.561424 lr=0.108826 Epoch[044] Batch [2549]/[3760] Speed: 61.949325 samples/sec accuracy=41.414828 loss=2.560813 lr=0.108823 Epoch[044] Batch [2599]/[3760] Speed: 61.277419 samples/sec accuracy=41.403846 loss=2.560672 lr=0.108820 Epoch[044] Batch [2649]/[3760] Speed: 62.281398 samples/sec accuracy=41.400943 loss=2.560912 lr=0.108817 Epoch[044] Batch [2699]/[3760] Speed: 61.738640 samples/sec accuracy=41.385995 loss=2.561707 lr=0.108815 Epoch[044] Batch [2749]/[3760] Speed: 62.259840 samples/sec accuracy=41.348864 loss=2.564036 lr=0.108812 Epoch[044] Batch [2799]/[3760] Speed: 61.503552 samples/sec accuracy=41.364397 loss=2.564181 lr=0.108809 Epoch[044] Batch [2849]/[3760] Speed: 62.213445 samples/sec accuracy=41.341557 loss=2.565268 lr=0.108806 Epoch[044] Batch [2899]/[3760] Speed: 61.393683 samples/sec accuracy=41.334052 loss=2.565750 lr=0.108803 Epoch[044] Batch [2949]/[3760] Speed: 62.175699 samples/sec accuracy=41.340572 loss=2.565891 lr=0.108800 Epoch[044] Batch [2999]/[3760] Speed: 62.324056 samples/sec accuracy=41.318229 loss=2.567261 lr=0.108797 Epoch[044] Batch [3049]/[3760] Speed: 61.750609 samples/sec accuracy=41.296107 loss=2.568085 lr=0.108794 Epoch[044] Batch [3099]/[3760] Speed: 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lr=0.108764 Epoch[044] Batch [3599]/[3760] Speed: 62.764190 samples/sec accuracy=41.287760 loss=2.569905 lr=0.108761 Epoch[044] Batch [3649]/[3760] Speed: 61.760134 samples/sec accuracy=41.285531 loss=2.570061 lr=0.108758 Epoch[044] Batch [3699]/[3760] Speed: 62.359068 samples/sec accuracy=41.276182 loss=2.570141 lr=0.108755 Epoch[044] Batch [3749]/[3760] Speed: 67.067352 samples/sec accuracy=41.277500 loss=2.569901 lr=0.108752 Batch [0049]/[0303]: acc-top1=39.437500 acc-top5=66.593750 Batch [0099]/[0303]: acc-top1=39.859375 acc-top5=66.890625 Batch [0149]/[0303]: acc-top1=39.656250 acc-top5=66.937500 Batch [0199]/[0303]: acc-top1=39.781250 acc-top5=66.750000 Batch [0249]/[0303]: acc-top1=39.625000 acc-top5=66.750000 Batch [0299]/[0303]: acc-top1=39.802083 acc-top5=66.854167 [Epoch 044] training: accuracy=41.270778 loss=2.570008 [Epoch 044] speed: 61 samples/sec time cost: 4210.566908 [Epoch 044] validation: acc-top1=39.784447 acc-top5=66.795586 loss=2.978564 Epoch[045] Batch 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accuracy=41.600000 loss=2.551621 lr=0.108721 Epoch[045] Batch [0549]/[3760] Speed: 62.414247 samples/sec accuracy=41.545455 loss=2.552827 lr=0.108718 Epoch[045] Batch [0599]/[3760] Speed: 61.135601 samples/sec accuracy=41.604167 loss=2.549361 lr=0.108715 Epoch[045] Batch [0649]/[3760] Speed: 61.808796 samples/sec accuracy=41.600962 loss=2.549906 lr=0.108712 Epoch[045] Batch [0699]/[3760] Speed: 62.054231 samples/sec accuracy=41.515625 loss=2.547912 lr=0.108709 Epoch[045] Batch [0749]/[3760] Speed: 61.834336 samples/sec accuracy=41.431250 loss=2.551532 lr=0.108706 Epoch[045] Batch [0799]/[3760] Speed: 61.573553 samples/sec accuracy=41.394531 loss=2.554150 lr=0.108703 Epoch[045] Batch [0849]/[3760] Speed: 62.008928 samples/sec accuracy=41.387868 loss=2.554482 lr=0.108700 Epoch[045] Batch [0899]/[3760] Speed: 62.367387 samples/sec accuracy=41.425347 loss=2.552745 lr=0.108697 Epoch[045] Batch [0949]/[3760] Speed: 61.770276 samples/sec accuracy=41.394737 loss=2.555453 lr=0.108694 Epoch[045] Batch [0999]/[3760] Speed: 62.286287 samples/sec accuracy=41.368750 loss=2.555047 lr=0.108691 Epoch[045] Batch [1049]/[3760] Speed: 62.262014 samples/sec accuracy=41.308036 loss=2.558521 lr=0.108688 Epoch[045] Batch [1099]/[3760] Speed: 61.890836 samples/sec accuracy=41.333807 loss=2.555957 lr=0.108685 Epoch[045] Batch [1149]/[3760] Speed: 61.979423 samples/sec accuracy=41.313859 loss=2.558396 lr=0.108682 Epoch[045] Batch [1199]/[3760] Speed: 62.000777 samples/sec accuracy=41.311198 loss=2.560287 lr=0.108678 Epoch[045] Batch [1249]/[3760] Speed: 61.730975 samples/sec accuracy=41.315000 loss=2.559999 lr=0.108675 Epoch[045] Batch [1299]/[3760] Speed: 62.116476 samples/sec accuracy=41.276442 loss=2.560696 lr=0.108672 Epoch[045] Batch [1349]/[3760] Speed: 62.060364 samples/sec accuracy=41.273148 loss=2.560616 lr=0.108669 Epoch[045] Batch [1399]/[3760] Speed: 61.930430 samples/sec accuracy=41.318080 loss=2.559375 lr=0.108666 Epoch[045] Batch [1449]/[3760] Speed: 62.075760 samples/sec accuracy=41.360991 loss=2.558509 lr=0.108663 Epoch[045] Batch [1499]/[3760] Speed: 61.461206 samples/sec accuracy=41.381250 loss=2.557958 lr=0.108660 Epoch[045] Batch [1549]/[3760] Speed: 62.484469 samples/sec accuracy=41.344758 loss=2.558611 lr=0.108657 Epoch[045] Batch [1599]/[3760] Speed: 61.467442 samples/sec accuracy=41.377930 loss=2.557520 lr=0.108654 Epoch[045] Batch [1649]/[3760] Speed: 62.204064 samples/sec accuracy=41.410985 loss=2.557371 lr=0.108650 Epoch[045] Batch [1699]/[3760] Speed: 61.598392 samples/sec accuracy=41.396140 loss=2.558113 lr=0.108647 Epoch[045] Batch [1749]/[3760] Speed: 61.739634 samples/sec accuracy=41.391071 loss=2.558500 lr=0.108644 Epoch[045] Batch [1799]/[3760] Speed: 62.112244 samples/sec accuracy=41.336806 loss=2.559927 lr=0.108641 Epoch[045] Batch [1849]/[3760] Speed: 62.097849 samples/sec accuracy=41.317568 loss=2.560014 lr=0.108638 Epoch[045] Batch [1899]/[3760] Speed: 62.013357 samples/sec accuracy=41.365132 loss=2.558624 lr=0.108635 Epoch[045] Batch [1949]/[3760] Speed: 62.160388 samples/sec accuracy=41.367788 loss=2.559663 lr=0.108632 Epoch[045] Batch [1999]/[3760] Speed: 61.564097 samples/sec accuracy=41.363281 loss=2.559478 lr=0.108629 Epoch[045] Batch [2049]/[3760] Speed: 62.297479 samples/sec accuracy=41.380335 loss=2.559960 lr=0.108625 Epoch[045] Batch [2099]/[3760] Speed: 62.225212 samples/sec accuracy=41.375744 loss=2.561838 lr=0.108622 Epoch[045] Batch [2149]/[3760] Speed: 61.995189 samples/sec accuracy=41.353924 loss=2.562834 lr=0.108619 Epoch[045] Batch [2199]/[3760] Speed: 61.762551 samples/sec accuracy=41.331676 loss=2.562632 lr=0.108616 Epoch[045] Batch [2249]/[3760] Speed: 62.003569 samples/sec accuracy=41.349306 loss=2.561076 lr=0.108613 Epoch[045] Batch [2299]/[3760] Speed: 61.822269 samples/sec accuracy=41.360734 loss=2.561018 lr=0.108610 Epoch[045] Batch [2349]/[3760] Speed: 62.342748 samples/sec accuracy=41.349734 loss=2.561528 lr=0.108606 Epoch[045] Batch [2399]/[3760] Speed: 62.046735 samples/sec accuracy=41.354818 loss=2.561897 lr=0.108603 Epoch[045] Batch [2449]/[3760] Speed: 62.255306 samples/sec accuracy=41.371811 loss=2.561918 lr=0.108600 Epoch[045] Batch [2499]/[3760] Speed: 61.261838 samples/sec accuracy=41.368125 loss=2.562058 lr=0.108597 Epoch[045] Batch [2549]/[3760] Speed: 62.388881 samples/sec accuracy=41.357843 loss=2.562620 lr=0.108594 Epoch[045] Batch [2599]/[3760] Speed: 61.344493 samples/sec accuracy=41.361779 loss=2.562191 lr=0.108590 Epoch[045] Batch [2649]/[3760] Speed: 62.707309 samples/sec accuracy=41.351415 loss=2.562954 lr=0.108587 Epoch[045] Batch [2699]/[3760] Speed: 61.445687 samples/sec accuracy=41.373843 loss=2.562062 lr=0.108584 Epoch[045] Batch [2749]/[3760] Speed: 61.961404 samples/sec accuracy=41.359659 loss=2.561966 lr=0.108581 Epoch[045] Batch [2799]/[3760] Speed: 61.858249 samples/sec accuracy=41.371652 loss=2.561701 lr=0.108578 Epoch[045] Batch [2849]/[3760] Speed: 61.652754 samples/sec accuracy=41.342105 loss=2.563573 lr=0.108574 Epoch[045] Batch [2899]/[3760] Speed: 61.568100 samples/sec accuracy=41.337823 loss=2.563799 lr=0.108571 Epoch[045] Batch [2949]/[3760] Speed: 61.819103 samples/sec accuracy=41.349047 loss=2.563339 lr=0.108568 Epoch[045] Batch [2999]/[3760] Speed: 61.732637 samples/sec accuracy=41.330729 loss=2.563812 lr=0.108565 Epoch[045] Batch [3049]/[3760] Speed: 62.366981 samples/sec accuracy=41.344775 loss=2.564022 lr=0.108562 Epoch[045] Batch [3099]/[3760] Speed: 62.171678 samples/sec accuracy=41.349294 loss=2.563873 lr=0.108558 Epoch[045] Batch [3149]/[3760] Speed: 61.082823 samples/sec accuracy=41.341270 loss=2.564450 lr=0.108555 Epoch[045] Batch [3199]/[3760] Speed: 62.614759 samples/sec accuracy=41.342285 loss=2.564602 lr=0.108552 Epoch[045] Batch [3249]/[3760] Speed: 61.377907 samples/sec accuracy=41.317308 loss=2.565275 lr=0.108549 Epoch[045] Batch [3299]/[3760] Speed: 62.270410 samples/sec accuracy=41.297822 loss=2.565535 lr=0.108545 Epoch[045] Batch [3349]/[3760] Speed: 61.407676 samples/sec accuracy=41.293843 loss=2.566225 lr=0.108542 Epoch[045] Batch [3399]/[3760] Speed: 61.767991 samples/sec accuracy=41.309283 loss=2.565870 lr=0.108539 Epoch[045] Batch [3449]/[3760] Speed: 61.961317 samples/sec accuracy=41.271739 loss=2.566829 lr=0.108536 Epoch[045] Batch [3499]/[3760] Speed: 61.769240 samples/sec accuracy=41.275893 loss=2.566617 lr=0.108532 Epoch[045] Batch [3549]/[3760] Speed: 61.760447 samples/sec accuracy=41.261444 loss=2.567569 lr=0.108529 Epoch[045] Batch [3599]/[3760] Speed: 61.541703 samples/sec accuracy=41.262587 loss=2.567545 lr=0.108526 Epoch[045] Batch [3649]/[3760] Speed: 61.665663 samples/sec accuracy=41.258562 loss=2.567320 lr=0.108523 Epoch[045] Batch [3699]/[3760] Speed: 61.748131 samples/sec accuracy=41.251689 loss=2.567949 lr=0.108519 Epoch[045] Batch [3749]/[3760] Speed: 66.567927 samples/sec accuracy=41.237500 loss=2.568343 lr=0.108516 Batch [0049]/[0303]: acc-top1=40.375000 acc-top5=68.281250 Batch [0099]/[0303]: acc-top1=41.359375 acc-top5=68.937500 Batch [0149]/[0303]: acc-top1=41.270833 acc-top5=68.927083 Batch [0199]/[0303]: acc-top1=41.437500 acc-top5=69.039062 Batch [0249]/[0303]: acc-top1=41.331250 acc-top5=69.000000 Batch [0299]/[0303]: acc-top1=41.692708 acc-top5=69.286458 [Epoch 045] training: accuracy=41.232547 loss=2.568574 [Epoch 045] speed: 61 samples/sec time cost: 4213.563632 [Epoch 045] validation: acc-top1=41.615099 acc-top5=69.245050 loss=2.853124 Epoch[046] Batch [0049]/[3759] Speed: 40.912726 samples/sec accuracy=44.656250 loss=2.449849 lr=0.108512 Epoch[046] Batch [0099]/[3759] Speed: 60.187693 samples/sec accuracy=43.187500 loss=2.498097 lr=0.108509 Epoch[046] Batch [0149]/[3759] Speed: 60.992954 samples/sec accuracy=43.229167 loss=2.493437 lr=0.108506 Epoch[046] Batch [0199]/[3759] Speed: 60.820176 samples/sec accuracy=42.867188 loss=2.500983 lr=0.108502 Epoch[046] Batch [0249]/[3759] Speed: 62.047055 samples/sec accuracy=42.675000 loss=2.511410 lr=0.108499 Epoch[046] Batch [0299]/[3759] 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loss=2.532350 lr=0.108466 Epoch[046] Batch [0799]/[3759] Speed: 62.158019 samples/sec accuracy=41.992188 loss=2.533103 lr=0.108463 Epoch[046] Batch [0849]/[3759] Speed: 61.767865 samples/sec accuracy=42.007353 loss=2.531793 lr=0.108459 Epoch[046] Batch [0899]/[3759] Speed: 62.219915 samples/sec accuracy=42.003472 loss=2.530099 lr=0.108456 Epoch[046] Batch [0949]/[3759] Speed: 61.632064 samples/sec accuracy=42.065789 loss=2.527097 lr=0.108453 Epoch[046] Batch [0999]/[3759] Speed: 62.190190 samples/sec accuracy=42.053125 loss=2.529524 lr=0.108449 Epoch[046] Batch [1049]/[3759] Speed: 60.740874 samples/sec accuracy=42.005952 loss=2.531839 lr=0.108446 Epoch[046] Batch [1099]/[3759] Speed: 62.095622 samples/sec accuracy=41.977273 loss=2.535157 lr=0.108443 Epoch[046] Batch [1149]/[3759] Speed: 61.378456 samples/sec accuracy=42.035326 loss=2.533455 lr=0.108439 Epoch[046] Batch [1199]/[3759] Speed: 62.469774 samples/sec accuracy=42.019531 loss=2.534283 lr=0.108436 Epoch[046] Batch 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accuracy=41.687500 loss=2.545393 lr=0.108402 Epoch[046] Batch [1749]/[3759] Speed: 61.612069 samples/sec accuracy=41.652679 loss=2.547743 lr=0.108399 Epoch[046] Batch [1799]/[3759] Speed: 61.974544 samples/sec accuracy=41.639757 loss=2.548034 lr=0.108395 Epoch[046] Batch [1849]/[3759] Speed: 61.593479 samples/sec accuracy=41.608953 loss=2.550919 lr=0.108392 Epoch[046] Batch [1899]/[3759] Speed: 62.136173 samples/sec accuracy=41.597862 loss=2.550962 lr=0.108389 Epoch[046] Batch [1949]/[3759] Speed: 61.656272 samples/sec accuracy=41.554487 loss=2.552950 lr=0.108385 Epoch[046] Batch [1999]/[3759] Speed: 61.927777 samples/sec accuracy=41.553125 loss=2.553276 lr=0.108382 Epoch[046] Batch [2049]/[3759] Speed: 61.952426 samples/sec accuracy=41.528201 loss=2.554102 lr=0.108378 Epoch[046] Batch [2099]/[3759] Speed: 62.480940 samples/sec accuracy=41.530506 loss=2.554613 lr=0.108375 Epoch[046] Batch [2149]/[3759] Speed: 61.857461 samples/sec accuracy=41.515262 loss=2.555740 lr=0.108371 Epoch[046] 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accuracy=41.372052 loss=2.558995 lr=0.108337 Epoch[046] Batch [2699]/[3759] Speed: 62.063601 samples/sec accuracy=41.369792 loss=2.559858 lr=0.108334 Epoch[046] Batch [2749]/[3759] Speed: 61.431346 samples/sec accuracy=41.381818 loss=2.559120 lr=0.108330 Epoch[046] Batch [2799]/[3759] Speed: 62.127407 samples/sec accuracy=41.391741 loss=2.558537 lr=0.108327 Epoch[046] Batch [2849]/[3759] Speed: 61.287377 samples/sec accuracy=41.389803 loss=2.559333 lr=0.108323 Epoch[046] Batch [2899]/[3759] Speed: 62.152656 samples/sec accuracy=41.393319 loss=2.559065 lr=0.108320 Epoch[046] Batch [2949]/[3759] Speed: 61.653143 samples/sec accuracy=41.368114 loss=2.559627 lr=0.108316 Epoch[046] Batch [2999]/[3759] Speed: 62.274384 samples/sec accuracy=41.370833 loss=2.558997 lr=0.108313 Epoch[046] Batch [3049]/[3759] Speed: 60.619265 samples/sec accuracy=41.366803 loss=2.559157 lr=0.108309 Epoch[046] Batch [3099]/[3759] Speed: 62.285578 samples/sec accuracy=41.353831 loss=2.559837 lr=0.108306 Epoch[046] 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accuracy=41.358073 loss=2.562401 lr=0.108271 Epoch[046] Batch [3649]/[3759] Speed: 61.253208 samples/sec accuracy=41.351455 loss=2.563217 lr=0.108267 Epoch[046] Batch [3699]/[3759] Speed: 62.410222 samples/sec accuracy=41.353463 loss=2.563911 lr=0.108263 Epoch[046] Batch [3749]/[3759] Speed: 66.553442 samples/sec accuracy=41.328750 loss=2.564876 lr=0.108260 Batch [0049]/[0303]: acc-top1=38.531250 acc-top5=66.343750 Batch [0099]/[0303]: acc-top1=39.609375 acc-top5=67.031250 Batch [0149]/[0303]: acc-top1=39.562500 acc-top5=67.260417 Batch [0199]/[0303]: acc-top1=39.898438 acc-top5=67.367188 Batch [0249]/[0303]: acc-top1=39.625000 acc-top5=67.137500 Batch [0299]/[0303]: acc-top1=39.671875 acc-top5=67.338542 [Epoch 046] training: accuracy=41.330806 loss=2.565124 [Epoch 046] speed: 61 samples/sec time cost: 4211.516943 [Epoch 046] validation: acc-top1=39.655528 acc-top5=67.316419 loss=2.820390 Epoch[047] Batch [0049]/[3760] Speed: 41.164020 samples/sec accuracy=42.156250 loss=2.542225 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lr=0.108119 Epoch[047] Batch [1999]/[3760] Speed: 61.794928 samples/sec accuracy=41.641406 loss=2.547455 lr=0.108115 Epoch[047] Batch [2049]/[3760] Speed: 62.222537 samples/sec accuracy=41.626524 loss=2.548994 lr=0.108111 Epoch[047] Batch [2099]/[3760] Speed: 61.770090 samples/sec accuracy=41.636161 loss=2.549568 lr=0.108107 Epoch[047] Batch [2149]/[3760] Speed: 61.774107 samples/sec accuracy=41.665698 loss=2.548902 lr=0.108104 Epoch[047] Batch [2199]/[3760] Speed: 61.480656 samples/sec accuracy=41.639205 loss=2.549877 lr=0.108100 Epoch[047] Batch [2249]/[3760] Speed: 62.345319 samples/sec accuracy=41.607639 loss=2.551709 lr=0.108096 Epoch[047] Batch [2299]/[3760] Speed: 61.509338 samples/sec accuracy=41.599864 loss=2.551751 lr=0.108093 Epoch[047] Batch [2349]/[3760] Speed: 61.770011 samples/sec accuracy=41.589761 loss=2.552021 lr=0.108089 Epoch[047] Batch [2399]/[3760] Speed: 62.086462 samples/sec accuracy=41.569010 loss=2.553482 lr=0.108085 Epoch[047] Batch [2449]/[3760] Speed: 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lr=0.108048 Epoch[047] Batch [2949]/[3760] Speed: 61.676133 samples/sec accuracy=41.451271 loss=2.557697 lr=0.108044 Epoch[047] Batch [2999]/[3760] Speed: 61.948932 samples/sec accuracy=41.426563 loss=2.558986 lr=0.108040 Epoch[047] Batch [3049]/[3760] Speed: 61.812320 samples/sec accuracy=41.436475 loss=2.559310 lr=0.108037 Epoch[047] Batch [3099]/[3760] Speed: 61.497158 samples/sec accuracy=41.435988 loss=2.559147 lr=0.108033 Epoch[047] Batch [3149]/[3760] Speed: 62.066645 samples/sec accuracy=41.420139 loss=2.559822 lr=0.108029 Epoch[047] Batch [3199]/[3760] Speed: 61.241474 samples/sec accuracy=41.430176 loss=2.559937 lr=0.108025 Epoch[047] Batch [3249]/[3760] Speed: 62.207556 samples/sec accuracy=41.442788 loss=2.559276 lr=0.108022 Epoch[047] Batch [3299]/[3760] Speed: 61.537491 samples/sec accuracy=41.436080 loss=2.559120 lr=0.108018 Epoch[047] Batch [3349]/[3760] Speed: 62.399568 samples/sec accuracy=41.424440 loss=2.559829 lr=0.108014 Epoch[047] Batch [3399]/[3760] Speed: 61.481972 samples/sec accuracy=41.410386 loss=2.560106 lr=0.108010 Epoch[047] Batch [3449]/[3760] Speed: 62.081939 samples/sec accuracy=41.416214 loss=2.560778 lr=0.108007 Epoch[047] Batch [3499]/[3760] Speed: 61.984362 samples/sec accuracy=41.399107 loss=2.561687 lr=0.108003 Epoch[047] Batch [3549]/[3760] Speed: 62.042421 samples/sec accuracy=41.394806 loss=2.561422 lr=0.107999 Epoch[047] Batch [3599]/[3760] Speed: 61.841750 samples/sec accuracy=41.388455 loss=2.561106 lr=0.107995 Epoch[047] Batch [3649]/[3760] Speed: 61.877523 samples/sec accuracy=41.408390 loss=2.560202 lr=0.107991 Epoch[047] Batch [3699]/[3760] Speed: 62.360506 samples/sec accuracy=41.408361 loss=2.560599 lr=0.107988 Epoch[047] Batch [3749]/[3760] Speed: 66.810065 samples/sec accuracy=41.409583 loss=2.561127 lr=0.107984 Batch [0049]/[0303]: acc-top1=40.750000 acc-top5=66.875000 Batch [0099]/[0303]: acc-top1=41.359375 acc-top5=68.140625 Batch [0149]/[0303]: acc-top1=41.031250 acc-top5=67.958333 Batch [0199]/[0303]: acc-top1=41.140625 acc-top5=68.093750 Batch [0249]/[0303]: acc-top1=40.693750 acc-top5=67.825000 Batch [0299]/[0303]: acc-top1=40.885417 acc-top5=68.130208 [Epoch 047] training: accuracy=41.409574 loss=2.561046 [Epoch 047] speed: 61 samples/sec time cost: 4215.993494 [Epoch 047] validation: acc-top1=40.877682 acc-top5=68.105404 loss=2.866355 Epoch[048] Batch [0049]/[3760] Speed: 41.028261 samples/sec accuracy=43.500000 loss=2.497903 lr=0.107979 Epoch[048] Batch [0099]/[3760] Speed: 60.808860 samples/sec accuracy=42.796875 loss=2.515852 lr=0.107975 Epoch[048] Batch [0149]/[3760] Speed: 61.173412 samples/sec accuracy=43.302083 loss=2.483182 lr=0.107972 Epoch[048] Batch [0199]/[3760] Speed: 61.254895 samples/sec accuracy=42.687500 loss=2.500477 lr=0.107968 Epoch[048] Batch [0249]/[3760] Speed: 61.912035 samples/sec accuracy=42.437500 loss=2.514657 lr=0.107964 Epoch[048] Batch [0299]/[3760] Speed: 61.493407 samples/sec accuracy=42.312500 loss=2.517615 lr=0.107960 Epoch[048] Batch 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accuracy=42.144531 loss=2.517018 lr=0.107922 Epoch[048] Batch [0849]/[3760] Speed: 61.245745 samples/sec accuracy=42.080882 loss=2.519825 lr=0.107918 Epoch[048] Batch [0899]/[3760] Speed: 61.936763 samples/sec accuracy=42.048611 loss=2.520534 lr=0.107914 Epoch[048] Batch [0949]/[3760] Speed: 62.050190 samples/sec accuracy=42.106908 loss=2.518800 lr=0.107910 Epoch[048] Batch [0999]/[3760] Speed: 61.532519 samples/sec accuracy=42.032812 loss=2.522273 lr=0.107906 Epoch[048] Batch [1049]/[3760] Speed: 61.374859 samples/sec accuracy=42.020833 loss=2.522510 lr=0.107902 Epoch[048] Batch [1099]/[3760] Speed: 62.248408 samples/sec accuracy=41.954545 loss=2.525984 lr=0.107898 Epoch[048] Batch [1149]/[3760] Speed: 61.567261 samples/sec accuracy=41.934783 loss=2.527788 lr=0.107895 Epoch[048] Batch [1199]/[3760] Speed: 62.341326 samples/sec accuracy=41.865885 loss=2.530550 lr=0.107891 Epoch[048] Batch [1249]/[3760] Speed: 61.757490 samples/sec accuracy=41.880000 loss=2.531329 lr=0.107887 Epoch[048] 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accuracy=41.815179 loss=2.537297 lr=0.107848 Epoch[048] Batch [1799]/[3760] Speed: 62.192954 samples/sec accuracy=41.807292 loss=2.537375 lr=0.107844 Epoch[048] Batch [1849]/[3760] Speed: 61.252421 samples/sec accuracy=41.858953 loss=2.535525 lr=0.107840 Epoch[048] Batch [1899]/[3760] Speed: 62.408409 samples/sec accuracy=41.844572 loss=2.535796 lr=0.107836 Epoch[048] Batch [1949]/[3760] Speed: 61.317496 samples/sec accuracy=41.854167 loss=2.536498 lr=0.107832 Epoch[048] Batch [1999]/[3760] Speed: 61.956901 samples/sec accuracy=41.894531 loss=2.535544 lr=0.107828 Epoch[048] Batch [2049]/[3760] Speed: 61.451119 samples/sec accuracy=41.875762 loss=2.536626 lr=0.107824 Epoch[048] Batch [2099]/[3760] Speed: 62.432403 samples/sec accuracy=41.840774 loss=2.538102 lr=0.107820 Epoch[048] Batch [2149]/[3760] Speed: 61.639149 samples/sec accuracy=41.816860 loss=2.539092 lr=0.107816 Epoch[048] Batch [2199]/[3760] Speed: 61.651412 samples/sec accuracy=41.813920 loss=2.540276 lr=0.107812 Epoch[048] 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accuracy=41.623843 loss=2.549662 lr=0.107772 Epoch[048] Batch [2749]/[3760] Speed: 62.093022 samples/sec accuracy=41.609091 loss=2.549781 lr=0.107768 Epoch[048] Batch [2799]/[3760] Speed: 61.930323 samples/sec accuracy=41.625000 loss=2.549819 lr=0.107764 Epoch[048] Batch [2849]/[3760] Speed: 62.001591 samples/sec accuracy=41.615132 loss=2.549995 lr=0.107760 Epoch[048] Batch [2899]/[3760] Speed: 61.905250 samples/sec accuracy=41.607220 loss=2.550186 lr=0.107756 Epoch[048] Batch [2949]/[3760] Speed: 62.020818 samples/sec accuracy=41.596928 loss=2.550587 lr=0.107752 Epoch[048] Batch [2999]/[3760] Speed: 62.149489 samples/sec accuracy=41.598958 loss=2.551383 lr=0.107748 Epoch[048] Batch [3049]/[3760] Speed: 62.405571 samples/sec accuracy=41.618340 loss=2.550795 lr=0.107744 Epoch[048] Batch [3099]/[3760] Speed: 61.865046 samples/sec accuracy=41.608367 loss=2.551127 lr=0.107740 Epoch[048] Batch [3149]/[3760] Speed: 61.561382 samples/sec accuracy=41.620040 loss=2.550737 lr=0.107736 Epoch[048] Batch [3199]/[3760] Speed: 62.319244 samples/sec accuracy=41.624512 loss=2.550287 lr=0.107732 Epoch[048] Batch [3249]/[3760] Speed: 61.827483 samples/sec accuracy=41.629808 loss=2.550851 lr=0.107728 Epoch[048] Batch [3299]/[3760] Speed: 62.441664 samples/sec accuracy=41.623580 loss=2.551033 lr=0.107724 Epoch[048] Batch [3349]/[3760] Speed: 61.607678 samples/sec accuracy=41.616138 loss=2.551148 lr=0.107720 Epoch[048] Batch [3399]/[3760] Speed: 62.452240 samples/sec accuracy=41.603860 loss=2.551552 lr=0.107716 Epoch[048] Batch [3449]/[3760] Speed: 61.302552 samples/sec accuracy=41.579710 loss=2.552515 lr=0.107712 Epoch[048] Batch [3499]/[3760] Speed: 61.869593 samples/sec accuracy=41.578571 loss=2.552482 lr=0.107708 Epoch[048] Batch [3549]/[3760] Speed: 62.338134 samples/sec accuracy=41.567782 loss=2.552936 lr=0.107704 Epoch[048] Batch [3599]/[3760] Speed: 61.774252 samples/sec accuracy=41.573785 loss=2.552423 lr=0.107700 Epoch[048] Batch [3649]/[3760] Speed: 61.621676 samples/sec accuracy=41.572346 loss=2.552966 lr=0.107696 Epoch[048] Batch [3699]/[3760] Speed: 61.984759 samples/sec accuracy=41.556588 loss=2.553176 lr=0.107692 Epoch[048] Batch [3749]/[3760] Speed: 66.659622 samples/sec accuracy=41.540833 loss=2.554314 lr=0.107688 Batch [0049]/[0303]: acc-top1=41.000000 acc-top5=67.625000 Batch [0099]/[0303]: acc-top1=41.968750 acc-top5=68.828125 Batch [0149]/[0303]: acc-top1=41.687500 acc-top5=68.395833 Batch [0199]/[0303]: acc-top1=41.593750 acc-top5=68.367188 Batch [0249]/[0303]: acc-top1=41.193750 acc-top5=68.225000 Batch [0299]/[0303]: acc-top1=41.427083 acc-top5=68.427083 [Epoch 048] training: accuracy=41.541307 loss=2.554154 [Epoch 048] speed: 61 samples/sec time cost: 4211.630289 [Epoch 048] validation: acc-top1=41.398515 acc-top5=68.399340 loss=2.852639 Epoch[049] Batch [0049]/[3759] Speed: 40.931475 samples/sec accuracy=43.375000 loss=2.463158 lr=0.107683 Epoch[049] Batch [0099]/[3759] Speed: 59.990858 samples/sec accuracy=42.234375 loss=2.482445 lr=0.107679 Epoch[049] Batch [0149]/[3759] Speed: 61.605967 samples/sec accuracy=42.291667 loss=2.477028 lr=0.107675 Epoch[049] Batch [0199]/[3759] Speed: 61.048944 samples/sec accuracy=42.226562 loss=2.489066 lr=0.107670 Epoch[049] Batch [0249]/[3759] Speed: 61.841188 samples/sec accuracy=42.162500 loss=2.498616 lr=0.107666 Epoch[049] Batch [0299]/[3759] Speed: 61.385946 samples/sec accuracy=42.296875 loss=2.500084 lr=0.107662 Epoch[049] Batch [0349]/[3759] Speed: 61.886995 samples/sec accuracy=42.191964 loss=2.510382 lr=0.107658 Epoch[049] Batch [0399]/[3759] Speed: 61.967148 samples/sec accuracy=42.308594 loss=2.504901 lr=0.107654 Epoch[049] Batch [0449]/[3759] Speed: 61.823482 samples/sec accuracy=42.284722 loss=2.504726 lr=0.107650 Epoch[049] Batch [0499]/[3759] Speed: 61.930989 samples/sec accuracy=42.246875 loss=2.505091 lr=0.107646 Epoch[049] Batch [0549]/[3759] Speed: 61.503010 samples/sec accuracy=42.258523 loss=2.505653 lr=0.107642 Epoch[049] Batch [0599]/[3759] Speed: 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lr=0.107601 Epoch[049] Batch [1099]/[3759] Speed: 62.129831 samples/sec accuracy=41.802557 loss=2.531123 lr=0.107596 Epoch[049] Batch [1149]/[3759] Speed: 61.942378 samples/sec accuracy=41.709239 loss=2.535602 lr=0.107592 Epoch[049] Batch [1199]/[3759] Speed: 62.417938 samples/sec accuracy=41.671875 loss=2.537631 lr=0.107588 Epoch[049] Batch [1249]/[3759] Speed: 61.652905 samples/sec accuracy=41.658750 loss=2.537773 lr=0.107584 Epoch[049] Batch [1299]/[3759] Speed: 61.961762 samples/sec accuracy=41.651442 loss=2.537013 lr=0.107580 Epoch[049] Batch [1349]/[3759] Speed: 61.629900 samples/sec accuracy=41.601852 loss=2.538558 lr=0.107576 Epoch[049] Batch [1399]/[3759] Speed: 62.001862 samples/sec accuracy=41.601562 loss=2.537844 lr=0.107571 Epoch[049] Batch [1449]/[3759] Speed: 62.397056 samples/sec accuracy=41.558190 loss=2.539188 lr=0.107567 Epoch[049] Batch [1499]/[3759] Speed: 61.849686 samples/sec accuracy=41.514583 loss=2.542026 lr=0.107563 Epoch[049] Batch [1549]/[3759] Speed: 62.234348 samples/sec accuracy=41.524194 loss=2.541966 lr=0.107559 Epoch[049] Batch [1599]/[3759] Speed: 61.951178 samples/sec accuracy=41.541016 loss=2.542071 lr=0.107555 Epoch[049] Batch [1649]/[3759] Speed: 62.355344 samples/sec accuracy=41.509470 loss=2.543377 lr=0.107551 Epoch[049] Batch [1699]/[3759] Speed: 62.055999 samples/sec accuracy=41.477941 loss=2.545307 lr=0.107546 Epoch[049] Batch [1749]/[3759] Speed: 61.879551 samples/sec accuracy=41.480357 loss=2.544888 lr=0.107542 Epoch[049] Batch [1799]/[3759] Speed: 61.920905 samples/sec accuracy=41.490451 loss=2.543675 lr=0.107538 Epoch[049] Batch [1849]/[3759] Speed: 61.965010 samples/sec accuracy=41.449324 loss=2.545126 lr=0.107534 Epoch[049] Batch [1899]/[3759] Speed: 62.203304 samples/sec accuracy=41.440789 loss=2.545311 lr=0.107530 Epoch[049] Batch [1949]/[3759] Speed: 61.473612 samples/sec accuracy=41.433494 loss=2.545463 lr=0.107525 Epoch[049] Batch [1999]/[3759] Speed: 62.237995 samples/sec accuracy=41.428125 loss=2.545345 lr=0.107521 Epoch[049] Batch [2049]/[3759] Speed: 62.100946 samples/sec accuracy=41.427591 loss=2.545278 lr=0.107517 Epoch[049] Batch [2099]/[3759] Speed: 61.468241 samples/sec accuracy=41.447917 loss=2.544999 lr=0.107513 Epoch[049] Batch [2149]/[3759] Speed: 62.555869 samples/sec accuracy=41.403343 loss=2.546588 lr=0.107509 Epoch[049] Batch [2199]/[3759] Speed: 61.630150 samples/sec accuracy=41.367898 loss=2.547782 lr=0.107504 Epoch[049] Batch [2249]/[3759] Speed: 62.087350 samples/sec accuracy=41.365278 loss=2.547919 lr=0.107500 Epoch[049] Batch [2299]/[3759] Speed: 61.828094 samples/sec accuracy=41.398777 loss=2.546802 lr=0.107496 Epoch[049] Batch [2349]/[3759] Speed: 61.881429 samples/sec accuracy=41.381649 loss=2.547092 lr=0.107492 Epoch[049] Batch [2399]/[3759] Speed: 61.954770 samples/sec accuracy=41.391927 loss=2.546649 lr=0.107487 Epoch[049] Batch [2449]/[3759] Speed: 61.553181 samples/sec accuracy=41.388393 loss=2.546322 lr=0.107483 Epoch[049] Batch [2499]/[3759] Speed: 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lr=0.107441 Epoch[049] Batch [2999]/[3759] Speed: 61.569506 samples/sec accuracy=41.472396 loss=2.549014 lr=0.107436 Epoch[049] Batch [3049]/[3759] Speed: 62.040474 samples/sec accuracy=41.471311 loss=2.549676 lr=0.107432 Epoch[049] Batch [3099]/[3759] Speed: 61.595714 samples/sec accuracy=41.474294 loss=2.549084 lr=0.107428 Epoch[049] Batch [3149]/[3759] Speed: 62.304107 samples/sec accuracy=41.470238 loss=2.550546 lr=0.107423 Epoch[049] Batch [3199]/[3759] Speed: 61.357140 samples/sec accuracy=41.464844 loss=2.550051 lr=0.107419 Epoch[049] Batch [3249]/[3759] Speed: 60.788107 samples/sec accuracy=41.476923 loss=2.549967 lr=0.107415 Epoch[049] Batch [3299]/[3759] Speed: 62.617909 samples/sec accuracy=41.444129 loss=2.551159 lr=0.107410 Epoch[049] Batch [3349]/[3759] Speed: 61.952277 samples/sec accuracy=41.447761 loss=2.550790 lr=0.107406 Epoch[049] Batch [3399]/[3759] Speed: 62.279558 samples/sec accuracy=41.456342 loss=2.550537 lr=0.107402 Epoch[049] Batch [3449]/[3759] Speed: 61.834506 samples/sec accuracy=41.451540 loss=2.550954 lr=0.107398 Epoch[049] Batch [3499]/[3759] Speed: 61.980416 samples/sec accuracy=41.463393 loss=2.551087 lr=0.107393 Epoch[049] Batch [3549]/[3759] Speed: 61.704628 samples/sec accuracy=41.461708 loss=2.551868 lr=0.107389 Epoch[049] Batch [3599]/[3759] Speed: 61.917542 samples/sec accuracy=41.467882 loss=2.551670 lr=0.107385 Epoch[049] Batch [3649]/[3759] Speed: 61.347019 samples/sec accuracy=41.446062 loss=2.552429 lr=0.107380 Epoch[049] Batch [3699]/[3759] Speed: 61.615609 samples/sec accuracy=41.464527 loss=2.552537 lr=0.107376 Epoch[049] Batch [3749]/[3759] Speed: 66.844604 samples/sec accuracy=41.477083 loss=2.551909 lr=0.107372 Batch [0049]/[0303]: acc-top1=41.437500 acc-top5=68.125000 Batch [0099]/[0303]: acc-top1=42.140625 acc-top5=69.328125 Batch [0149]/[0303]: acc-top1=41.854167 acc-top5=69.406250 Batch [0199]/[0303]: acc-top1=41.968750 acc-top5=69.460938 Batch [0249]/[0303]: acc-top1=42.043750 acc-top5=69.381250 Batch [0299]/[0303]: acc-top1=42.218750 acc-top5=69.666667 [Epoch 049] training: accuracy=41.472965 loss=2.552089 [Epoch 049] speed: 61 samples/sec time cost: 4212.487828 [Epoch 049] validation: acc-top1=42.151403 acc-top5=69.621493 loss=2.727262 Epoch[050] Batch [0049]/[3760] Speed: 41.184689 samples/sec accuracy=42.250000 loss=2.502220 lr=0.107367 Epoch[050] Batch [0099]/[3760] Speed: 60.663168 samples/sec accuracy=42.468750 loss=2.491448 lr=0.107362 Epoch[050] Batch [0149]/[3760] Speed: 61.209025 samples/sec accuracy=42.885417 loss=2.483163 lr=0.107358 Epoch[050] Batch [0199]/[3760] Speed: 60.496415 samples/sec accuracy=42.617188 loss=2.493264 lr=0.107353 Epoch[050] Batch [0249]/[3760] Speed: 62.229996 samples/sec accuracy=42.712500 loss=2.491233 lr=0.107349 Epoch[050] Batch [0299]/[3760] Speed: 61.016207 samples/sec accuracy=42.489583 loss=2.504347 lr=0.107345 Epoch[050] Batch [0349]/[3760] Speed: 62.560726 samples/sec accuracy=42.379464 loss=2.513348 lr=0.107340 Epoch[050] Batch 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accuracy=41.985294 loss=2.528753 lr=0.107297 Epoch[050] Batch [0899]/[3760] Speed: 61.893065 samples/sec accuracy=42.031250 loss=2.529876 lr=0.107292 Epoch[050] Batch [0949]/[3760] Speed: 61.630626 samples/sec accuracy=42.000000 loss=2.531408 lr=0.107288 Epoch[050] Batch [0999]/[3760] Speed: 61.674489 samples/sec accuracy=41.970312 loss=2.534851 lr=0.107283 Epoch[050] Batch [1049]/[3760] Speed: 62.218368 samples/sec accuracy=41.964286 loss=2.534010 lr=0.107279 Epoch[050] Batch [1099]/[3760] Speed: 61.808290 samples/sec accuracy=41.951705 loss=2.535356 lr=0.107275 Epoch[050] Batch [1149]/[3760] Speed: 61.804330 samples/sec accuracy=41.990489 loss=2.534538 lr=0.107270 Epoch[050] Batch [1199]/[3760] Speed: 61.233681 samples/sec accuracy=41.972656 loss=2.534564 lr=0.107266 Epoch[050] Batch [1249]/[3760] Speed: 62.596192 samples/sec accuracy=41.905000 loss=2.536053 lr=0.107261 Epoch[050] Batch [1299]/[3760] Speed: 61.169283 samples/sec accuracy=41.843750 loss=2.538517 lr=0.107257 Epoch[050] 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accuracy=41.737847 loss=2.545889 lr=0.107213 Epoch[050] Batch [1849]/[3760] Speed: 61.656256 samples/sec accuracy=41.694257 loss=2.547245 lr=0.107208 Epoch[050] Batch [1899]/[3760] Speed: 61.235693 samples/sec accuracy=41.676809 loss=2.547719 lr=0.107204 Epoch[050] Batch [1949]/[3760] Speed: 62.559677 samples/sec accuracy=41.651442 loss=2.548899 lr=0.107199 Epoch[050] Batch [1999]/[3760] Speed: 61.639837 samples/sec accuracy=41.664062 loss=2.547949 lr=0.107195 Epoch[050] Batch [2049]/[3760] Speed: 62.105108 samples/sec accuracy=41.667683 loss=2.547114 lr=0.107190 Epoch[050] Batch [2099]/[3760] Speed: 61.883847 samples/sec accuracy=41.644345 loss=2.548511 lr=0.107186 Epoch[050] Batch [2149]/[3760] Speed: 62.153499 samples/sec accuracy=41.668605 loss=2.547058 lr=0.107181 Epoch[050] Batch [2199]/[3760] Speed: 61.743645 samples/sec accuracy=41.628551 loss=2.548576 lr=0.107177 Epoch[050] Batch [2249]/[3760] Speed: 61.484700 samples/sec accuracy=41.613889 loss=2.548581 lr=0.107172 Epoch[050] 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accuracy=41.617045 loss=2.547512 lr=0.107127 Epoch[050] Batch [2799]/[3760] Speed: 61.101661 samples/sec accuracy=41.580357 loss=2.548539 lr=0.107123 Epoch[050] Batch [2849]/[3760] Speed: 62.418463 samples/sec accuracy=41.566338 loss=2.548961 lr=0.107118 Epoch[050] Batch [2899]/[3760] Speed: 61.677523 samples/sec accuracy=41.565194 loss=2.549270 lr=0.107114 Epoch[050] Batch [2949]/[3760] Speed: 62.047405 samples/sec accuracy=41.542903 loss=2.550066 lr=0.107109 Epoch[050] Batch [2999]/[3760] Speed: 61.940677 samples/sec accuracy=41.538021 loss=2.549571 lr=0.107105 Epoch[050] Batch [3049]/[3760] Speed: 62.019465 samples/sec accuracy=41.547131 loss=2.549967 lr=0.107100 Epoch[050] Batch [3099]/[3760] Speed: 61.626640 samples/sec accuracy=41.554435 loss=2.550439 lr=0.107095 Epoch[050] Batch [3149]/[3760] Speed: 62.115615 samples/sec accuracy=41.555556 loss=2.550059 lr=0.107091 Epoch[050] Batch [3199]/[3760] Speed: 62.023861 samples/sec accuracy=41.535645 loss=2.550510 lr=0.107086 Epoch[050] Batch [3249]/[3760] Speed: 61.612453 samples/sec accuracy=41.531731 loss=2.551249 lr=0.107082 Epoch[050] Batch [3299]/[3760] Speed: 62.090758 samples/sec accuracy=41.534564 loss=2.551351 lr=0.107077 Epoch[050] Batch [3349]/[3760] Speed: 61.768766 samples/sec accuracy=41.540578 loss=2.551677 lr=0.107073 Epoch[050] Batch [3399]/[3760] Speed: 61.676301 samples/sec accuracy=41.553768 loss=2.551485 lr=0.107068 Epoch[050] Batch [3449]/[3760] Speed: 61.928202 samples/sec accuracy=41.562953 loss=2.551030 lr=0.107064 Epoch[050] Batch [3499]/[3760] Speed: 61.181428 samples/sec accuracy=41.577679 loss=2.550395 lr=0.107059 Epoch[050] Batch [3549]/[3760] Speed: 62.235589 samples/sec accuracy=41.580106 loss=2.550608 lr=0.107054 Epoch[050] Batch [3599]/[3760] Speed: 61.825638 samples/sec accuracy=41.589844 loss=2.549697 lr=0.107050 Epoch[050] Batch [3649]/[3760] Speed: 61.978568 samples/sec accuracy=41.564640 loss=2.550624 lr=0.107045 Epoch[050] Batch [3699]/[3760] Speed: 61.297684 samples/sec accuracy=41.546030 loss=2.551828 lr=0.107041 Epoch[050] Batch [3749]/[3760] Speed: 67.256904 samples/sec accuracy=41.542917 loss=2.551592 lr=0.107036 Batch [0049]/[0303]: acc-top1=40.656250 acc-top5=67.187500 Batch [0099]/[0303]: acc-top1=41.734375 acc-top5=68.359375 Batch [0149]/[0303]: acc-top1=41.770833 acc-top5=68.625000 Batch [0199]/[0303]: acc-top1=41.765625 acc-top5=68.554688 Batch [0249]/[0303]: acc-top1=41.575000 acc-top5=68.462500 Batch [0299]/[0303]: acc-top1=41.682292 acc-top5=68.817708 [Epoch 050] training: accuracy=41.537151 loss=2.551666 [Epoch 050] speed: 61 samples/sec time cost: 4218.122166 [Epoch 050] validation: acc-top1=41.671823 acc-top5=68.770627 loss=2.787250 Epoch[051] Batch [0049]/[3760] Speed: 40.767226 samples/sec accuracy=42.250000 loss=2.504121 lr=0.107031 Epoch[051] Batch [0099]/[3760] Speed: 60.223629 samples/sec accuracy=42.125000 loss=2.516971 lr=0.107026 Epoch[051] Batch [0149]/[3760] Speed: 61.064343 samples/sec accuracy=42.166667 loss=2.517612 lr=0.107021 Epoch[051] Batch [0199]/[3760] Speed: 61.181034 samples/sec accuracy=42.273438 loss=2.514672 lr=0.107017 Epoch[051] Batch [0249]/[3760] Speed: 61.758278 samples/sec accuracy=42.568750 loss=2.496326 lr=0.107012 Epoch[051] Batch [0299]/[3760] Speed: 61.273283 samples/sec accuracy=42.567708 loss=2.495201 lr=0.107007 Epoch[051] Batch [0349]/[3760] Speed: 62.171987 samples/sec accuracy=42.549107 loss=2.507632 lr=0.107003 Epoch[051] Batch [0399]/[3760] Speed: 61.446087 samples/sec accuracy=42.398438 loss=2.514910 lr=0.106998 Epoch[051] Batch [0449]/[3760] Speed: 62.190356 samples/sec accuracy=42.458333 loss=2.511137 lr=0.106994 Epoch[051] Batch [0499]/[3760] Speed: 61.676705 samples/sec accuracy=42.300000 loss=2.511960 lr=0.106989 Epoch[051] Batch [0549]/[3760] Speed: 62.313921 samples/sec accuracy=42.323864 loss=2.511577 lr=0.106984 Epoch[051] Batch [0599]/[3760] Speed: 61.609621 samples/sec accuracy=42.260417 loss=2.515743 lr=0.106980 Epoch[051] Batch [0649]/[3760] Speed: 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lr=0.106933 Epoch[051] Batch [1149]/[3760] Speed: 61.644881 samples/sec accuracy=42.097826 loss=2.528296 lr=0.106929 Epoch[051] Batch [1199]/[3760] Speed: 62.314806 samples/sec accuracy=42.121094 loss=2.529419 lr=0.106924 Epoch[051] Batch [1249]/[3760] Speed: 62.019987 samples/sec accuracy=42.077500 loss=2.530445 lr=0.106919 Epoch[051] Batch [1299]/[3760] Speed: 62.035255 samples/sec accuracy=41.995192 loss=2.533062 lr=0.106914 Epoch[051] Batch [1349]/[3760] Speed: 62.031892 samples/sec accuracy=42.017361 loss=2.532643 lr=0.106910 Epoch[051] Batch [1399]/[3760] Speed: 61.434184 samples/sec accuracy=42.022321 loss=2.532471 lr=0.106905 Epoch[051] Batch [1449]/[3760] Speed: 62.054757 samples/sec accuracy=42.025862 loss=2.532244 lr=0.106900 Epoch[051] Batch [1499]/[3760] Speed: 61.915099 samples/sec accuracy=42.016667 loss=2.533092 lr=0.106896 Epoch[051] Batch [1549]/[3760] Speed: 62.040442 samples/sec accuracy=42.014113 loss=2.533079 lr=0.106891 Epoch[051] Batch [1599]/[3760] Speed: 61.835903 samples/sec accuracy=42.017578 loss=2.532970 lr=0.106886 Epoch[051] Batch [1649]/[3760] Speed: 61.225288 samples/sec accuracy=42.001894 loss=2.533351 lr=0.106882 Epoch[051] Batch [1699]/[3760] Speed: 62.652160 samples/sec accuracy=42.009191 loss=2.533368 lr=0.106877 Epoch[051] Batch [1749]/[3760] Speed: 61.346787 samples/sec accuracy=41.994643 loss=2.533914 lr=0.106872 Epoch[051] Batch [1799]/[3760] Speed: 62.474373 samples/sec accuracy=41.961806 loss=2.534019 lr=0.106867 Epoch[051] Batch [1849]/[3760] Speed: 61.238007 samples/sec accuracy=41.935811 loss=2.535784 lr=0.106863 Epoch[051] Batch [1899]/[3760] Speed: 62.372279 samples/sec accuracy=41.921053 loss=2.536237 lr=0.106858 Epoch[051] Batch [1949]/[3760] Speed: 61.200058 samples/sec accuracy=41.940705 loss=2.535299 lr=0.106853 Epoch[051] Batch [1999]/[3760] Speed: 62.257062 samples/sec accuracy=41.917969 loss=2.536022 lr=0.106849 Epoch[051] Batch [2049]/[3760] Speed: 61.231531 samples/sec accuracy=41.887195 loss=2.537086 lr=0.106844 Epoch[051] Batch [2099]/[3760] Speed: 61.996378 samples/sec accuracy=41.915923 loss=2.536213 lr=0.106839 Epoch[051] Batch [2149]/[3760] Speed: 61.622587 samples/sec accuracy=41.898256 loss=2.537680 lr=0.106834 Epoch[051] Batch [2199]/[3760] Speed: 60.925914 samples/sec accuracy=41.885653 loss=2.537855 lr=0.106830 Epoch[051] Batch [2249]/[3760] Speed: 62.193537 samples/sec accuracy=41.903472 loss=2.537134 lr=0.106825 Epoch[051] Batch [2299]/[3760] Speed: 61.927231 samples/sec accuracy=41.893342 loss=2.537070 lr=0.106820 Epoch[051] Batch [2349]/[3760] Speed: 62.328594 samples/sec accuracy=41.923537 loss=2.536870 lr=0.106815 Epoch[051] Batch [2399]/[3760] Speed: 61.219303 samples/sec accuracy=41.904948 loss=2.537594 lr=0.106811 Epoch[051] Batch [2449]/[3760] Speed: 61.886615 samples/sec accuracy=41.884566 loss=2.538631 lr=0.106806 Epoch[051] Batch [2499]/[3760] Speed: 61.435354 samples/sec accuracy=41.849375 loss=2.539948 lr=0.106801 Epoch[051] Batch [2549]/[3760] Speed: 62.320138 samples/sec accuracy=41.873775 loss=2.539005 lr=0.106796 Epoch[051] Batch [2599]/[3760] Speed: 61.556424 samples/sec accuracy=41.917668 loss=2.537429 lr=0.106791 Epoch[051] Batch [2649]/[3760] Speed: 61.910458 samples/sec accuracy=41.909788 loss=2.538317 lr=0.106787 Epoch[051] Batch [2699]/[3760] Speed: 61.587727 samples/sec accuracy=41.909144 loss=2.537633 lr=0.106782 Epoch[051] Batch [2749]/[3760] Speed: 61.510433 samples/sec accuracy=41.938636 loss=2.535917 lr=0.106777 Epoch[051] Batch [2799]/[3760] Speed: 62.197646 samples/sec accuracy=41.921875 loss=2.537465 lr=0.106772 Epoch[051] Batch [2849]/[3760] Speed: 61.820303 samples/sec accuracy=41.930373 loss=2.537895 lr=0.106768 Epoch[051] Batch [2899]/[3760] Speed: 62.309982 samples/sec accuracy=41.947737 loss=2.537386 lr=0.106763 Epoch[051] Batch [2949]/[3760] Speed: 61.407988 samples/sec accuracy=41.927436 loss=2.538188 lr=0.106758 Epoch[051] Batch [2999]/[3760] Speed: 61.716738 samples/sec accuracy=41.933333 loss=2.537682 lr=0.106753 Epoch[051] Batch [3049]/[3760] Speed: 61.358201 samples/sec accuracy=41.903176 loss=2.538688 lr=0.106748 Epoch[051] Batch [3099]/[3760] Speed: 62.369200 samples/sec accuracy=41.901714 loss=2.538248 lr=0.106744 Epoch[051] Batch [3149]/[3760] Speed: 61.767178 samples/sec accuracy=41.878472 loss=2.539036 lr=0.106739 Epoch[051] Batch [3199]/[3760] Speed: 62.195490 samples/sec accuracy=41.874512 loss=2.538541 lr=0.106734 Epoch[051] Batch [3249]/[3760] Speed: 61.793173 samples/sec accuracy=41.852885 loss=2.539537 lr=0.106729 Epoch[051] Batch [3299]/[3760] Speed: 61.495682 samples/sec accuracy=41.863636 loss=2.539011 lr=0.106724 Epoch[051] Batch [3349]/[3760] Speed: 62.329218 samples/sec accuracy=41.859142 loss=2.538899 lr=0.106719 Epoch[051] Batch [3399]/[3760] Speed: 61.345674 samples/sec accuracy=41.869945 loss=2.539518 lr=0.106715 Epoch[051] Batch [3449]/[3760] Speed: 62.092184 samples/sec accuracy=41.862772 loss=2.540001 lr=0.106710 Epoch[051] Batch [3499]/[3760] Speed: 62.012308 samples/sec accuracy=41.892857 loss=2.539091 lr=0.106705 Epoch[051] Batch [3549]/[3760] Speed: 62.003134 samples/sec accuracy=41.902729 loss=2.538167 lr=0.106700 Epoch[051] Batch [3599]/[3760] Speed: 62.293660 samples/sec accuracy=41.918837 loss=2.538079 lr=0.106695 Epoch[051] Batch [3649]/[3760] Speed: 61.764441 samples/sec accuracy=41.905822 loss=2.538592 lr=0.106690 Epoch[051] Batch [3699]/[3760] Speed: 62.100341 samples/sec accuracy=41.886402 loss=2.539154 lr=0.106686 Epoch[051] Batch [3749]/[3760] Speed: 66.951854 samples/sec accuracy=41.875417 loss=2.539861 lr=0.106681 Batch [0049]/[0303]: acc-top1=39.875000 acc-top5=68.437500 Batch [0099]/[0303]: acc-top1=40.953125 acc-top5=69.187500 Batch [0149]/[0303]: acc-top1=41.062500 acc-top5=68.979167 Batch [0199]/[0303]: acc-top1=41.250000 acc-top5=68.851562 Batch [0249]/[0303]: acc-top1=41.137500 acc-top5=68.693750 Batch [0299]/[0303]: acc-top1=41.546875 acc-top5=68.906250 [Epoch 051] training: accuracy=41.879987 loss=2.539781 [Epoch 051] speed: 61 samples/sec time cost: 4213.900604 [Epoch 051] validation: acc-top1=41.465553 acc-top5=68.837665 loss=2.715120 Epoch[052] Batch [0049]/[3759] Speed: 40.802511 samples/sec accuracy=42.187500 loss=2.487342 lr=0.106675 Epoch[052] Batch [0099]/[3759] Speed: 59.657384 samples/sec accuracy=42.609375 loss=2.472318 lr=0.106670 Epoch[052] Batch [0149]/[3759] Speed: 61.273080 samples/sec accuracy=42.250000 loss=2.485232 lr=0.106665 Epoch[052] Batch [0199]/[3759] Speed: 60.535599 samples/sec accuracy=42.210938 loss=2.490355 lr=0.106660 Epoch[052] Batch [0249]/[3759] Speed: 62.074792 samples/sec accuracy=42.606250 loss=2.481468 lr=0.106655 Epoch[052] Batch [0299]/[3759] Speed: 60.736664 samples/sec accuracy=42.572917 loss=2.476637 lr=0.106651 Epoch[052] Batch [0349]/[3759] Speed: 62.285072 samples/sec accuracy=42.415179 loss=2.487701 lr=0.106646 Epoch[052] Batch [0399]/[3759] Speed: 61.036985 samples/sec accuracy=42.472656 loss=2.483660 lr=0.106641 Epoch[052] Batch 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accuracy=42.258681 loss=2.504416 lr=0.106592 Epoch[052] Batch [0949]/[3759] Speed: 60.775045 samples/sec accuracy=42.305921 loss=2.504229 lr=0.106587 Epoch[052] Batch [0999]/[3759] Speed: 61.860089 samples/sec accuracy=42.265625 loss=2.506893 lr=0.106582 Epoch[052] Batch [1049]/[3759] Speed: 62.187276 samples/sec accuracy=42.290179 loss=2.506513 lr=0.106577 Epoch[052] Batch [1099]/[3759] Speed: 61.878914 samples/sec accuracy=42.215909 loss=2.511314 lr=0.106572 Epoch[052] Batch [1149]/[3759] Speed: 61.738183 samples/sec accuracy=42.228261 loss=2.512824 lr=0.106567 Epoch[052] Batch [1199]/[3759] Speed: 61.416439 samples/sec accuracy=42.250000 loss=2.512904 lr=0.106562 Epoch[052] Batch [1249]/[3759] Speed: 62.126691 samples/sec accuracy=42.237500 loss=2.513746 lr=0.106557 Epoch[052] Batch [1299]/[3759] Speed: 61.864259 samples/sec accuracy=42.228365 loss=2.514103 lr=0.106552 Epoch[052] Batch [1349]/[3759] Speed: 61.724174 samples/sec accuracy=42.171296 loss=2.516421 lr=0.106547 Epoch[052] 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accuracy=42.057432 loss=2.523806 lr=0.106498 Epoch[052] Batch [1899]/[3759] Speed: 61.963797 samples/sec accuracy=41.986020 loss=2.525995 lr=0.106493 Epoch[052] Batch [1949]/[3759] Speed: 61.626175 samples/sec accuracy=42.004808 loss=2.524837 lr=0.106488 Epoch[052] Batch [1999]/[3759] Speed: 61.814127 samples/sec accuracy=41.976562 loss=2.525836 lr=0.106483 Epoch[052] Batch [2049]/[3759] Speed: 61.937591 samples/sec accuracy=42.022104 loss=2.524479 lr=0.106478 Epoch[052] Batch [2099]/[3759] Speed: 61.539260 samples/sec accuracy=42.051339 loss=2.523879 lr=0.106473 Epoch[052] Batch [2149]/[3759] Speed: 61.395422 samples/sec accuracy=42.048692 loss=2.523514 lr=0.106468 Epoch[052] Batch [2199]/[3759] Speed: 61.798839 samples/sec accuracy=42.052557 loss=2.524369 lr=0.106463 Epoch[052] Batch [2249]/[3759] Speed: 61.773032 samples/sec accuracy=42.043750 loss=2.525222 lr=0.106458 Epoch[052] Batch [2299]/[3759] Speed: 61.282098 samples/sec accuracy=42.023777 loss=2.525881 lr=0.106453 Epoch[052] 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accuracy=42.061942 loss=2.529168 lr=0.106403 Epoch[052] Batch [2849]/[3759] Speed: 61.651646 samples/sec accuracy=42.065789 loss=2.529002 lr=0.106397 Epoch[052] Batch [2899]/[3759] Speed: 61.547314 samples/sec accuracy=42.076509 loss=2.528251 lr=0.106392 Epoch[052] Batch [2949]/[3759] Speed: 62.381112 samples/sec accuracy=42.086864 loss=2.528732 lr=0.106387 Epoch[052] Batch [2999]/[3759] Speed: 61.790965 samples/sec accuracy=42.080729 loss=2.528983 lr=0.106382 Epoch[052] Batch [3049]/[3759] Speed: 61.579011 samples/sec accuracy=42.047131 loss=2.530936 lr=0.106377 Epoch[052] Batch [3099]/[3759] Speed: 62.135005 samples/sec accuracy=42.050403 loss=2.531244 lr=0.106372 Epoch[052] Batch [3149]/[3759] Speed: 61.168878 samples/sec accuracy=42.041667 loss=2.531969 lr=0.106367 Epoch[052] Batch [3199]/[3759] Speed: 62.132837 samples/sec accuracy=42.047363 loss=2.532348 lr=0.106362 Epoch[052] Batch [3249]/[3759] Speed: 61.231663 samples/sec accuracy=42.031731 loss=2.532142 lr=0.106357 Epoch[052] 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accuracy=41.948333 loss=2.535964 lr=0.106306 Batch [0049]/[0303]: acc-top1=38.875000 acc-top5=67.562500 Batch [0099]/[0303]: acc-top1=40.531250 acc-top5=68.093750 Batch [0149]/[0303]: acc-top1=40.302083 acc-top5=68.093750 Batch [0199]/[0303]: acc-top1=40.507812 acc-top5=68.109375 Batch [0249]/[0303]: acc-top1=40.281250 acc-top5=68.068750 Batch [0299]/[0303]: acc-top1=40.500000 acc-top5=68.307292 [Epoch 052] training: accuracy=41.941008 loss=2.536076 [Epoch 052] speed: 61 samples/sec time cost: 4219.420108 [Epoch 052] validation: acc-top1=40.496081 acc-top5=68.244637 loss=2.847552 Epoch[053] Batch [0049]/[3760] Speed: 41.131257 samples/sec accuracy=43.031250 loss=2.434819 lr=0.106300 Epoch[053] Batch [0099]/[3760] Speed: 59.481982 samples/sec accuracy=42.312500 loss=2.479429 lr=0.106295 Epoch[053] Batch [0149]/[3760] Speed: 60.931583 samples/sec accuracy=42.822917 loss=2.475126 lr=0.106290 Epoch[053] Batch [0199]/[3760] Speed: 61.017916 samples/sec accuracy=42.671875 loss=2.483870 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lr=0.106187 Epoch[053] Batch [1199]/[3760] Speed: 62.539116 samples/sec accuracy=42.175781 loss=2.515593 lr=0.106181 Epoch[053] Batch [1249]/[3760] Speed: 61.303032 samples/sec accuracy=42.206250 loss=2.516060 lr=0.106176 Epoch[053] Batch [1299]/[3760] Speed: 61.767392 samples/sec accuracy=42.201923 loss=2.515862 lr=0.106171 Epoch[053] Batch [1349]/[3760] Speed: 61.322746 samples/sec accuracy=42.140046 loss=2.518021 lr=0.106166 Epoch[053] Batch [1399]/[3760] Speed: 62.296628 samples/sec accuracy=42.135045 loss=2.518359 lr=0.106161 Epoch[053] Batch [1449]/[3760] Speed: 61.137175 samples/sec accuracy=42.120690 loss=2.516560 lr=0.106155 Epoch[053] Batch [1499]/[3760] Speed: 62.149900 samples/sec accuracy=42.114583 loss=2.516839 lr=0.106150 Epoch[053] Batch [1549]/[3760] Speed: 61.478641 samples/sec accuracy=42.095766 loss=2.518032 lr=0.106145 Epoch[053] Batch [1599]/[3760] Speed: 61.893692 samples/sec accuracy=42.113281 loss=2.517998 lr=0.106140 Epoch[053] Batch [1649]/[3760] Speed: 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lr=0.106087 Epoch[053] Batch [2149]/[3760] Speed: 62.429551 samples/sec accuracy=41.937500 loss=2.525499 lr=0.106082 Epoch[053] Batch [2199]/[3760] Speed: 61.801358 samples/sec accuracy=41.942472 loss=2.526041 lr=0.106077 Epoch[053] Batch [2249]/[3760] Speed: 61.899612 samples/sec accuracy=41.959722 loss=2.526144 lr=0.106072 Epoch[053] Batch [2299]/[3760] Speed: 61.711249 samples/sec accuracy=41.980978 loss=2.525499 lr=0.106066 Epoch[053] Batch [2349]/[3760] Speed: 61.935309 samples/sec accuracy=41.969415 loss=2.526461 lr=0.106061 Epoch[053] Batch [2399]/[3760] Speed: 61.546705 samples/sec accuracy=41.976562 loss=2.526924 lr=0.106056 Epoch[053] Batch [2449]/[3760] Speed: 62.054063 samples/sec accuracy=41.964923 loss=2.527762 lr=0.106051 Epoch[053] Batch [2499]/[3760] Speed: 61.849313 samples/sec accuracy=41.970000 loss=2.527358 lr=0.106045 Epoch[053] Batch [2549]/[3760] Speed: 62.346994 samples/sec accuracy=41.998775 loss=2.527248 lr=0.106040 Epoch[053] Batch [2599]/[3760] Speed: 61.494407 samples/sec accuracy=42.010216 loss=2.527617 lr=0.106035 Epoch[053] Batch [2649]/[3760] Speed: 61.920069 samples/sec accuracy=42.013561 loss=2.526530 lr=0.106029 Epoch[053] Batch [2699]/[3760] Speed: 61.579078 samples/sec accuracy=42.002894 loss=2.527208 lr=0.106024 Epoch[053] Batch [2749]/[3760] Speed: 61.957037 samples/sec accuracy=41.996591 loss=2.527783 lr=0.106019 Epoch[053] Batch [2799]/[3760] Speed: 61.836395 samples/sec accuracy=42.022879 loss=2.527185 lr=0.106013 Epoch[053] Batch [2849]/[3760] Speed: 61.332004 samples/sec accuracy=42.018640 loss=2.527261 lr=0.106008 Epoch[053] Batch [2899]/[3760] Speed: 62.438526 samples/sec accuracy=41.996767 loss=2.528292 lr=0.106003 Epoch[053] Batch [2949]/[3760] Speed: 61.698193 samples/sec accuracy=41.985699 loss=2.529029 lr=0.105998 Epoch[053] Batch [2999]/[3760] Speed: 62.624447 samples/sec accuracy=41.959896 loss=2.530086 lr=0.105992 Epoch[053] Batch [3049]/[3760] Speed: 61.187877 samples/sec accuracy=41.954918 loss=2.530435 lr=0.105987 Epoch[053] Batch [3099]/[3760] Speed: 62.250212 samples/sec accuracy=41.963710 loss=2.530370 lr=0.105982 Epoch[053] Batch [3149]/[3760] Speed: 61.433296 samples/sec accuracy=41.955357 loss=2.530907 lr=0.105976 Epoch[053] Batch [3199]/[3760] Speed: 62.032858 samples/sec accuracy=41.958008 loss=2.530737 lr=0.105971 Epoch[053] Batch [3249]/[3760] Speed: 61.307736 samples/sec accuracy=41.933173 loss=2.531525 lr=0.105966 Epoch[053] Batch [3299]/[3760] Speed: 61.863500 samples/sec accuracy=41.927083 loss=2.532510 lr=0.105960 Epoch[053] Batch [3349]/[3760] Speed: 61.809551 samples/sec accuracy=41.929104 loss=2.532700 lr=0.105955 Epoch[053] Batch [3399]/[3760] Speed: 61.690480 samples/sec accuracy=41.924632 loss=2.532730 lr=0.105950 Epoch[053] Batch [3449]/[3760] Speed: 61.442362 samples/sec accuracy=41.935688 loss=2.532446 lr=0.105944 Epoch[053] Batch [3499]/[3760] Speed: 61.717658 samples/sec accuracy=41.938839 loss=2.532921 lr=0.105939 Epoch[053] Batch [3549]/[3760] Speed: 61.548144 samples/sec accuracy=41.908011 loss=2.534167 lr=0.105934 Epoch[053] Batch [3599]/[3760] Speed: 61.723143 samples/sec accuracy=41.912760 loss=2.533957 lr=0.105928 Epoch[053] Batch [3649]/[3760] Speed: 61.757848 samples/sec accuracy=41.919521 loss=2.533728 lr=0.105923 Epoch[053] Batch [3699]/[3760] Speed: 61.383638 samples/sec accuracy=41.925676 loss=2.533821 lr=0.105917 Epoch[053] Batch [3749]/[3760] Speed: 67.479341 samples/sec accuracy=41.931667 loss=2.533490 lr=0.105912 Batch [0049]/[0303]: acc-top1=41.062500 acc-top5=68.750000 Batch [0099]/[0303]: acc-top1=42.781250 acc-top5=69.640625 Batch [0149]/[0303]: acc-top1=42.135417 acc-top5=69.281250 Batch [0199]/[0303]: acc-top1=42.046875 acc-top5=69.390625 Batch [0249]/[0303]: acc-top1=41.918750 acc-top5=69.262500 Batch [0299]/[0303]: acc-top1=42.203125 acc-top5=69.500000 [Epoch 053] training: accuracy=41.929854 loss=2.533752 [Epoch 053] speed: 61 samples/sec time cost: 4219.405078 [Epoch 053] validation: acc-top1=42.182343 acc-top5=69.482261 loss=2.860803 Epoch[054] Batch [0049]/[3760] Speed: 40.943500 samples/sec accuracy=42.687500 loss=2.469252 lr=0.105906 Epoch[054] Batch [0099]/[3760] Speed: 59.562668 samples/sec accuracy=43.343750 loss=2.464188 lr=0.105900 Epoch[054] Batch [0149]/[3760] Speed: 60.726506 samples/sec accuracy=43.281250 loss=2.478464 lr=0.105895 Epoch[054] Batch [0199]/[3760] Speed: 60.479451 samples/sec accuracy=43.625000 loss=2.478577 lr=0.105890 Epoch[054] Batch [0249]/[3760] Speed: 61.894484 samples/sec accuracy=43.787500 loss=2.471535 lr=0.105884 Epoch[054] Batch [0299]/[3760] Speed: 60.796714 samples/sec accuracy=43.437500 loss=2.487841 lr=0.105879 Epoch[054] Batch [0349]/[3760] Speed: 62.474138 samples/sec accuracy=43.455357 loss=2.484746 lr=0.105873 Epoch[054] Batch [0399]/[3760] Speed: 60.885493 samples/sec accuracy=43.382812 loss=2.484872 lr=0.105868 Epoch[054] Batch [0449]/[3760] Speed: 62.220740 samples/sec accuracy=43.145833 loss=2.494996 lr=0.105863 Epoch[054] Batch 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accuracy=42.387336 loss=2.515741 lr=0.105705 Epoch[054] Batch [1949]/[3760] Speed: 61.970757 samples/sec accuracy=42.321314 loss=2.518127 lr=0.105699 Epoch[054] Batch [1999]/[3760] Speed: 62.133465 samples/sec accuracy=42.292187 loss=2.518436 lr=0.105694 Epoch[054] Batch [2049]/[3760] Speed: 61.667753 samples/sec accuracy=42.260671 loss=2.520040 lr=0.105688 Epoch[054] Batch [2099]/[3760] Speed: 62.195773 samples/sec accuracy=42.256696 loss=2.519388 lr=0.105683 Epoch[054] Batch [2149]/[3760] Speed: 61.626851 samples/sec accuracy=42.225291 loss=2.520328 lr=0.105677 Epoch[054] Batch [2199]/[3760] Speed: 61.786066 samples/sec accuracy=42.218040 loss=2.520594 lr=0.105672 Epoch[054] Batch [2249]/[3760] Speed: 61.653919 samples/sec accuracy=42.179167 loss=2.521902 lr=0.105666 Epoch[054] Batch [2299]/[3760] Speed: 62.227922 samples/sec accuracy=42.183424 loss=2.522295 lr=0.105661 Epoch[054] Batch [2349]/[3760] Speed: 61.885562 samples/sec accuracy=42.200798 loss=2.522839 lr=0.105655 Epoch[054] 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accuracy=42.139254 loss=2.523237 lr=0.105600 Epoch[054] Batch [2899]/[3760] Speed: 61.313196 samples/sec accuracy=42.147629 loss=2.522940 lr=0.105594 Epoch[054] Batch [2949]/[3760] Speed: 62.219224 samples/sec accuracy=42.133475 loss=2.523623 lr=0.105588 Epoch[054] Batch [2999]/[3760] Speed: 61.802196 samples/sec accuracy=42.127083 loss=2.523321 lr=0.105583 Epoch[054] Batch [3049]/[3760] Speed: 62.134241 samples/sec accuracy=42.111680 loss=2.523592 lr=0.105577 Epoch[054] Batch [3099]/[3760] Speed: 61.601245 samples/sec accuracy=42.104335 loss=2.523677 lr=0.105572 Epoch[054] Batch [3149]/[3760] Speed: 62.062486 samples/sec accuracy=42.125000 loss=2.523188 lr=0.105566 Epoch[054] Batch [3199]/[3760] Speed: 61.592664 samples/sec accuracy=42.120117 loss=2.523646 lr=0.105561 Epoch[054] Batch [3249]/[3760] Speed: 62.267413 samples/sec accuracy=42.110577 loss=2.524919 lr=0.105555 Epoch[054] Batch [3299]/[3760] Speed: 61.750424 samples/sec accuracy=42.131629 loss=2.524769 lr=0.105549 Epoch[054] 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[0099]/[0303]: acc-top1=41.687500 acc-top5=68.843750 Batch [0149]/[0303]: acc-top1=41.375000 acc-top5=68.333333 Batch [0199]/[0303]: acc-top1=41.421875 acc-top5=68.312500 Batch [0249]/[0303]: acc-top1=41.456250 acc-top5=68.150000 Batch [0299]/[0303]: acc-top1=41.770833 acc-top5=68.442708 [Epoch 054] training: accuracy=42.120595 loss=2.527131 [Epoch 054] speed: 61 samples/sec time cost: 4215.650687 [Epoch 054] validation: acc-top1=41.744018 acc-top5=68.419967 loss=2.750389 Epoch[055] Batch [0049]/[3759] Speed: 41.673707 samples/sec accuracy=43.000000 loss=2.411655 lr=0.105492 Epoch[055] Batch [0099]/[3759] Speed: 59.247272 samples/sec accuracy=42.406250 loss=2.482716 lr=0.105487 Epoch[055] Batch [0149]/[3759] Speed: 62.334202 samples/sec accuracy=42.687500 loss=2.475324 lr=0.105481 Epoch[055] Batch [0199]/[3759] Speed: 60.274318 samples/sec accuracy=42.859375 loss=2.484411 lr=0.105475 Epoch[055] Batch [0249]/[3759] Speed: 61.632368 samples/sec accuracy=42.637500 loss=2.491381 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lr=0.105143 Epoch[055] Batch [3149]/[3759] Speed: 62.293903 samples/sec accuracy=42.158234 loss=2.525359 lr=0.105137 Epoch[055] Batch [3199]/[3759] Speed: 61.288718 samples/sec accuracy=42.144043 loss=2.525654 lr=0.105131 Epoch[055] Batch [3249]/[3759] Speed: 61.990005 samples/sec accuracy=42.125000 loss=2.525793 lr=0.105125 Epoch[055] Batch [3299]/[3759] Speed: 61.068959 samples/sec accuracy=42.125473 loss=2.525939 lr=0.105119 Epoch[055] Batch [3349]/[3759] Speed: 62.020896 samples/sec accuracy=42.107276 loss=2.526789 lr=0.105114 Epoch[055] Batch [3399]/[3759] Speed: 61.596807 samples/sec accuracy=42.102022 loss=2.527015 lr=0.105108 Epoch[055] Batch [3449]/[3759] Speed: 61.963703 samples/sec accuracy=42.096467 loss=2.527631 lr=0.105102 Epoch[055] Batch [3499]/[3759] Speed: 61.713027 samples/sec accuracy=42.112054 loss=2.527210 lr=0.105096 Epoch[055] Batch [3549]/[3759] Speed: 61.615018 samples/sec accuracy=42.096391 loss=2.528087 lr=0.105090 Epoch[055] Batch [3599]/[3759] Speed: 61.882256 samples/sec accuracy=42.132378 loss=2.526839 lr=0.105084 Epoch[055] Batch [3649]/[3759] Speed: 61.542952 samples/sec accuracy=42.138699 loss=2.526345 lr=0.105079 Epoch[055] Batch [3699]/[3759] Speed: 61.586039 samples/sec accuracy=42.122044 loss=2.526502 lr=0.105073 Epoch[055] Batch [3749]/[3759] Speed: 67.172180 samples/sec accuracy=42.113750 loss=2.526256 lr=0.105067 Batch [0049]/[0303]: acc-top1=40.781250 acc-top5=69.156250 Batch [0099]/[0303]: acc-top1=41.890625 acc-top5=69.953125 Batch [0149]/[0303]: acc-top1=41.604167 acc-top5=69.583333 Batch [0199]/[0303]: acc-top1=41.968750 acc-top5=69.671875 Batch [0249]/[0303]: acc-top1=41.743750 acc-top5=69.462500 Batch [0299]/[0303]: acc-top1=41.947917 acc-top5=69.822917 [Epoch 055] training: accuracy=42.116005 loss=2.526225 [Epoch 055] speed: 61 samples/sec time cost: 4220.150264 [Epoch 055] validation: acc-top1=41.939975 acc-top5=69.801980 loss=3.003590 Epoch[056] Batch [0049]/[3760] Speed: 40.537456 samples/sec accuracy=42.593750 loss=2.489287 lr=0.105060 Epoch[056] Batch [0099]/[3760] Speed: 59.795697 samples/sec accuracy=43.203125 loss=2.484339 lr=0.105054 Epoch[056] Batch [0149]/[3760] Speed: 61.143233 samples/sec accuracy=42.572917 loss=2.505228 lr=0.105048 Epoch[056] Batch [0199]/[3760] Speed: 61.539783 samples/sec accuracy=42.820312 loss=2.498570 lr=0.105042 Epoch[056] Batch [0249]/[3760] Speed: 62.095947 samples/sec accuracy=42.937500 loss=2.499123 lr=0.105036 Epoch[056] Batch [0299]/[3760] Speed: 61.794355 samples/sec accuracy=43.093750 loss=2.486563 lr=0.105030 Epoch[056] Batch [0349]/[3760] Speed: 61.688461 samples/sec accuracy=43.098214 loss=2.487449 lr=0.105025 Epoch[056] Batch [0399]/[3760] Speed: 61.836371 samples/sec accuracy=42.933594 loss=2.497831 lr=0.105019 Epoch[056] Batch [0449]/[3760] Speed: 61.952994 samples/sec accuracy=42.732639 loss=2.500446 lr=0.105013 Epoch[056] Batch [0499]/[3760] Speed: 62.221316 samples/sec accuracy=42.621875 loss=2.505205 lr=0.105007 Epoch[056] 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accuracy=42.165865 loss=2.515109 lr=0.104834 Epoch[056] Batch [1999]/[3760] Speed: 61.667753 samples/sec accuracy=42.171875 loss=2.515584 lr=0.104828 Epoch[056] Batch [2049]/[3760] Speed: 61.935149 samples/sec accuracy=42.149390 loss=2.517908 lr=0.104822 Epoch[056] Batch [2099]/[3760] Speed: 61.677722 samples/sec accuracy=42.143601 loss=2.517935 lr=0.104816 Epoch[056] Batch [2149]/[3760] Speed: 61.929235 samples/sec accuracy=42.147529 loss=2.517609 lr=0.104810 Epoch[056] Batch [2199]/[3760] Speed: 61.457202 samples/sec accuracy=42.154830 loss=2.517079 lr=0.104804 Epoch[056] Batch [2249]/[3760] Speed: 62.365397 samples/sec accuracy=42.133333 loss=2.518233 lr=0.104798 Epoch[056] Batch [2299]/[3760] Speed: 61.272109 samples/sec accuracy=42.141304 loss=2.517773 lr=0.104792 Epoch[056] Batch [2349]/[3760] Speed: 61.912894 samples/sec accuracy=42.115027 loss=2.518893 lr=0.104786 Epoch[056] Batch [2399]/[3760] Speed: 61.535616 samples/sec accuracy=42.113281 loss=2.518959 lr=0.104780 Epoch[056] 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accuracy=42.068427 loss=2.520582 lr=0.104719 Epoch[056] Batch [2949]/[3760] Speed: 61.659016 samples/sec accuracy=42.069386 loss=2.520748 lr=0.104713 Epoch[056] Batch [2999]/[3760] Speed: 61.582142 samples/sec accuracy=42.030729 loss=2.522187 lr=0.104707 Epoch[056] Batch [3049]/[3760] Speed: 61.486652 samples/sec accuracy=42.029201 loss=2.522865 lr=0.104701 Epoch[056] Batch [3099]/[3760] Speed: 62.033766 samples/sec accuracy=42.032258 loss=2.522620 lr=0.104695 Epoch[056] Batch [3149]/[3760] Speed: 61.810324 samples/sec accuracy=42.032242 loss=2.522309 lr=0.104689 Epoch[056] Batch [3199]/[3760] Speed: 61.901278 samples/sec accuracy=42.040527 loss=2.521786 lr=0.104683 Epoch[056] Batch [3249]/[3760] Speed: 62.164881 samples/sec accuracy=42.050962 loss=2.521642 lr=0.104677 Epoch[056] Batch [3299]/[3760] Speed: 61.661951 samples/sec accuracy=42.066288 loss=2.520915 lr=0.104671 Epoch[056] Batch [3349]/[3760] Speed: 62.110969 samples/sec accuracy=42.054571 loss=2.521738 lr=0.104665 Epoch[056] Batch [3399]/[3760] Speed: 61.593418 samples/sec accuracy=42.038143 loss=2.522428 lr=0.104659 Epoch[056] Batch [3449]/[3760] Speed: 62.192233 samples/sec accuracy=42.038043 loss=2.522671 lr=0.104653 Epoch[056] Batch [3499]/[3760] Speed: 61.505703 samples/sec accuracy=42.039286 loss=2.522856 lr=0.104646 Epoch[056] Batch [3549]/[3760] Speed: 62.101882 samples/sec accuracy=42.044894 loss=2.523360 lr=0.104640 Epoch[056] Batch [3599]/[3760] Speed: 62.095581 samples/sec accuracy=42.050347 loss=2.523338 lr=0.104634 Epoch[056] Batch [3649]/[3760] Speed: 62.054863 samples/sec accuracy=42.056507 loss=2.523518 lr=0.104628 Epoch[056] Batch [3699]/[3760] Speed: 62.061290 samples/sec accuracy=42.049409 loss=2.524270 lr=0.104622 Epoch[056] Batch [3749]/[3760] Speed: 66.960423 samples/sec accuracy=42.037083 loss=2.524551 lr=0.104616 Batch [0049]/[0303]: acc-top1=42.312500 acc-top5=68.312500 Batch [0099]/[0303]: acc-top1=43.031250 acc-top5=69.140625 Batch [0149]/[0303]: acc-top1=42.510417 acc-top5=68.885417 Batch [0199]/[0303]: acc-top1=42.367188 acc-top5=68.968750 Batch [0249]/[0303]: acc-top1=42.250000 acc-top5=68.837500 Batch [0299]/[0303]: acc-top1=42.609375 acc-top5=69.093750 [Epoch 056] training: accuracy=42.028341 loss=2.524799 [Epoch 056] speed: 61 samples/sec time cost: 4213.635684 [Epoch 056] validation: acc-top1=42.620668 acc-top5=69.074876 loss=2.705204 Epoch[057] Batch [0049]/[3760] Speed: 40.906703 samples/sec accuracy=44.093750 loss=2.437716 lr=0.104609 Epoch[057] Batch [0099]/[3760] Speed: 58.659662 samples/sec accuracy=43.281250 loss=2.454285 lr=0.104602 Epoch[057] Batch [0149]/[3760] Speed: 62.251548 samples/sec accuracy=42.718750 loss=2.464903 lr=0.104596 Epoch[057] Batch [0199]/[3760] Speed: 60.175903 samples/sec accuracy=43.343750 loss=2.444835 lr=0.104590 Epoch[057] Batch [0249]/[3760] Speed: 61.950691 samples/sec accuracy=43.093750 loss=2.464119 lr=0.104584 Epoch[057] Batch [0299]/[3760] Speed: 60.074510 samples/sec accuracy=42.932292 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accuracy=42.517045 loss=2.506955 lr=0.104342 Epoch[057] Batch [2249]/[3760] Speed: 61.982383 samples/sec accuracy=42.509722 loss=2.505988 lr=0.104336 Epoch[057] Batch [2299]/[3760] Speed: 61.789364 samples/sec accuracy=42.519022 loss=2.506197 lr=0.104330 Epoch[057] Batch [2349]/[3760] Speed: 61.891274 samples/sec accuracy=42.509309 loss=2.505928 lr=0.104323 Epoch[057] Batch [2399]/[3760] Speed: 61.541566 samples/sec accuracy=42.510417 loss=2.505885 lr=0.104317 Epoch[057] Batch [2449]/[3760] Speed: 61.924157 samples/sec accuracy=42.496173 loss=2.506919 lr=0.104311 Epoch[057] Batch [2499]/[3760] Speed: 61.525529 samples/sec accuracy=42.496875 loss=2.506762 lr=0.104304 Epoch[057] Batch [2549]/[3760] Speed: 61.873064 samples/sec accuracy=42.462623 loss=2.507513 lr=0.104298 Epoch[057] Batch [2599]/[3760] Speed: 61.641748 samples/sec accuracy=42.453125 loss=2.507741 lr=0.104292 Epoch[057] Batch [2649]/[3760] Speed: 62.263894 samples/sec accuracy=42.467571 loss=2.507367 lr=0.104286 Epoch[057] 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accuracy=42.402282 loss=2.510909 lr=0.104222 Epoch[057] Batch [3199]/[3760] Speed: 61.113877 samples/sec accuracy=42.384766 loss=2.510791 lr=0.104216 Epoch[057] Batch [3249]/[3760] Speed: 62.367440 samples/sec accuracy=42.391827 loss=2.510909 lr=0.104210 Epoch[057] Batch [3299]/[3760] Speed: 61.626765 samples/sec accuracy=42.402462 loss=2.511226 lr=0.104203 Epoch[057] Batch [3349]/[3760] Speed: 62.114121 samples/sec accuracy=42.397854 loss=2.511235 lr=0.104197 Epoch[057] Batch [3399]/[3760] Speed: 61.162063 samples/sec accuracy=42.385110 loss=2.511936 lr=0.104191 Epoch[057] Batch [3449]/[3760] Speed: 62.252002 samples/sec accuracy=42.380888 loss=2.512116 lr=0.104184 Epoch[057] Batch [3499]/[3760] Speed: 60.839109 samples/sec accuracy=42.357589 loss=2.513045 lr=0.104178 Epoch[057] Batch [3549]/[3760] Speed: 62.193328 samples/sec accuracy=42.351673 loss=2.513086 lr=0.104172 Epoch[057] Batch [3599]/[3760] Speed: 60.933527 samples/sec accuracy=42.330729 loss=2.514433 lr=0.104165 Epoch[057] Batch [3649]/[3760] Speed: 62.159598 samples/sec accuracy=42.336473 loss=2.514611 lr=0.104159 Epoch[057] Batch [3699]/[3760] Speed: 61.842577 samples/sec accuracy=42.328547 loss=2.515199 lr=0.104153 Epoch[057] Batch [3749]/[3760] Speed: 66.950655 samples/sec accuracy=42.339167 loss=2.514618 lr=0.104146 Batch [0049]/[0303]: acc-top1=41.125000 acc-top5=67.968750 Batch [0099]/[0303]: acc-top1=41.750000 acc-top5=68.890625 Batch [0149]/[0303]: acc-top1=41.697917 acc-top5=68.760417 Batch [0199]/[0303]: acc-top1=41.781250 acc-top5=68.734375 Batch [0249]/[0303]: acc-top1=41.356250 acc-top5=68.450000 Batch [0299]/[0303]: acc-top1=41.796875 acc-top5=68.755208 [Epoch 057] training: accuracy=42.341257 loss=2.514599 [Epoch 057] speed: 61 samples/sec time cost: 4220.640395 [Epoch 057] validation: acc-top1=41.759488 acc-top5=68.729373 loss=2.952180 Epoch[058] Batch [0049]/[3759] Speed: 40.581234 samples/sec accuracy=43.593750 loss=2.440442 lr=0.104139 Epoch[058] Batch [0099]/[3759] Speed: 60.133957 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lr=0.103952 Epoch[058] Batch [1549]/[3759] Speed: 62.322835 samples/sec accuracy=42.640121 loss=2.495908 lr=0.103946 Epoch[058] Batch [1599]/[3759] Speed: 61.981267 samples/sec accuracy=42.597656 loss=2.498135 lr=0.103939 Epoch[058] Batch [1649]/[3759] Speed: 61.764838 samples/sec accuracy=42.627841 loss=2.497119 lr=0.103933 Epoch[058] Batch [1699]/[3759] Speed: 61.853528 samples/sec accuracy=42.579044 loss=2.498913 lr=0.103926 Epoch[058] Batch [1749]/[3759] Speed: 61.547560 samples/sec accuracy=42.592857 loss=2.499109 lr=0.103920 Epoch[058] Batch [1799]/[3759] Speed: 61.794038 samples/sec accuracy=42.570312 loss=2.499682 lr=0.103914 Epoch[058] Batch [1849]/[3759] Speed: 62.098191 samples/sec accuracy=42.580236 loss=2.498347 lr=0.103907 Epoch[058] Batch [1899]/[3759] Speed: 61.631556 samples/sec accuracy=42.585526 loss=2.498302 lr=0.103901 Epoch[058] Batch [1949]/[3759] Speed: 62.313650 samples/sec accuracy=42.627404 loss=2.497843 lr=0.103894 Epoch[058] Batch [1999]/[3759] Speed: 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lr=0.103829 Epoch[058] Batch [2499]/[3759] Speed: 61.910943 samples/sec accuracy=42.572500 loss=2.502847 lr=0.103822 Epoch[058] Batch [2549]/[3759] Speed: 61.736651 samples/sec accuracy=42.608456 loss=2.502430 lr=0.103816 Epoch[058] Batch [2599]/[3759] Speed: 62.083444 samples/sec accuracy=42.599159 loss=2.503680 lr=0.103809 Epoch[058] Batch [2649]/[3759] Speed: 62.145444 samples/sec accuracy=42.590212 loss=2.504510 lr=0.103803 Epoch[058] Batch [2699]/[3759] Speed: 61.929953 samples/sec accuracy=42.554977 loss=2.505229 lr=0.103796 Epoch[058] Batch [2749]/[3759] Speed: 61.577769 samples/sec accuracy=42.547159 loss=2.506387 lr=0.103790 Epoch[058] Batch [2799]/[3759] Speed: 61.593065 samples/sec accuracy=42.548549 loss=2.505918 lr=0.103783 Epoch[058] Batch [2849]/[3759] Speed: 61.900891 samples/sec accuracy=42.507127 loss=2.506619 lr=0.103777 Epoch[058] Batch [2899]/[3759] Speed: 61.698743 samples/sec accuracy=42.531250 loss=2.505503 lr=0.103770 Epoch[058] Batch [2949]/[3759] Speed: 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lr=0.103704 Epoch[058] Batch [3449]/[3759] Speed: 62.063836 samples/sec accuracy=42.425272 loss=2.511321 lr=0.103698 Epoch[058] Batch [3499]/[3759] Speed: 61.566375 samples/sec accuracy=42.413839 loss=2.512267 lr=0.103691 Epoch[058] Batch [3549]/[3759] Speed: 62.349079 samples/sec accuracy=42.411532 loss=2.512899 lr=0.103684 Epoch[058] Batch [3599]/[3759] Speed: 61.476901 samples/sec accuracy=42.401476 loss=2.512884 lr=0.103678 Epoch[058] Batch [3649]/[3759] Speed: 61.933715 samples/sec accuracy=42.416096 loss=2.512674 lr=0.103671 Epoch[058] Batch [3699]/[3759] Speed: 61.561704 samples/sec accuracy=42.405828 loss=2.513206 lr=0.103665 Epoch[058] Batch [3749]/[3759] Speed: 67.564385 samples/sec accuracy=42.422500 loss=2.512607 lr=0.103658 Batch [0049]/[0303]: acc-top1=40.937500 acc-top5=68.468750 Batch [0099]/[0303]: acc-top1=42.250000 acc-top5=69.796875 Batch [0149]/[0303]: acc-top1=42.208333 acc-top5=69.614583 Batch [0199]/[0303]: acc-top1=42.164062 acc-top5=69.906250 Batch [0249]/[0303]: acc-top1=41.806250 acc-top5=69.637500 Batch [0299]/[0303]: acc-top1=41.890625 acc-top5=69.718750 [Epoch 058] training: accuracy=42.421106 loss=2.512738 [Epoch 058] speed: 61 samples/sec time cost: 4216.394767 [Epoch 058] validation: acc-top1=41.883251 acc-top5=69.678218 loss=2.750426 Epoch[059] Batch [0049]/[3760] Speed: 40.536916 samples/sec accuracy=43.312500 loss=2.477907 lr=0.103650 Epoch[059] Batch [0099]/[3760] Speed: 60.527644 samples/sec accuracy=43.062500 loss=2.472574 lr=0.103644 Epoch[059] Batch [0149]/[3760] Speed: 60.839731 samples/sec accuracy=42.697917 loss=2.500446 lr=0.103637 Epoch[059] Batch [0199]/[3760] Speed: 60.405411 samples/sec accuracy=42.703125 loss=2.503635 lr=0.103630 Epoch[059] Batch [0249]/[3760] Speed: 61.822686 samples/sec accuracy=42.718750 loss=2.505446 lr=0.103624 Epoch[059] Batch [0299]/[3760] Speed: 60.887246 samples/sec accuracy=42.640625 loss=2.508057 lr=0.103617 Epoch[059] Batch [0349]/[3760] Speed: 62.382716 samples/sec accuracy=42.790179 loss=2.508438 lr=0.103610 Epoch[059] Batch [0399]/[3760] Speed: 61.125399 samples/sec accuracy=42.812500 loss=2.506159 lr=0.103604 Epoch[059] Batch [0449]/[3760] Speed: 61.514684 samples/sec accuracy=42.923611 loss=2.503090 lr=0.103597 Epoch[059] Batch [0499]/[3760] Speed: 61.819699 samples/sec accuracy=42.978125 loss=2.500584 lr=0.103591 Epoch[059] Batch [0549]/[3760] Speed: 61.537672 samples/sec accuracy=42.892045 loss=2.505636 lr=0.103584 Epoch[059] Batch [0599]/[3760] Speed: 61.313601 samples/sec accuracy=42.830729 loss=2.504424 lr=0.103577 Epoch[059] Batch [0649]/[3760] Speed: 61.721287 samples/sec accuracy=42.850962 loss=2.506584 lr=0.103571 Epoch[059] Batch [0699]/[3760] Speed: 61.967279 samples/sec accuracy=42.854911 loss=2.503604 lr=0.103564 Epoch[059] Batch [0749]/[3760] Speed: 61.176486 samples/sec accuracy=42.841667 loss=2.499722 lr=0.103557 Epoch[059] Batch [0799]/[3760] Speed: 62.155270 samples/sec accuracy=42.794922 loss=2.500550 lr=0.103551 Epoch[059] 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accuracy=42.719952 loss=2.502704 lr=0.103484 Epoch[059] Batch [1349]/[3760] Speed: 62.261007 samples/sec accuracy=42.724537 loss=2.502789 lr=0.103477 Epoch[059] Batch [1399]/[3760] Speed: 61.837850 samples/sec accuracy=42.688616 loss=2.504694 lr=0.103470 Epoch[059] Batch [1449]/[3760] Speed: 62.004178 samples/sec accuracy=42.734914 loss=2.503678 lr=0.103464 Epoch[059] Batch [1499]/[3760] Speed: 61.698994 samples/sec accuracy=42.722917 loss=2.505080 lr=0.103457 Epoch[059] Batch [1549]/[3760] Speed: 62.094697 samples/sec accuracy=42.744960 loss=2.503264 lr=0.103450 Epoch[059] Batch [1599]/[3760] Speed: 61.794013 samples/sec accuracy=42.723633 loss=2.503912 lr=0.103444 Epoch[059] Batch [1649]/[3760] Speed: 61.995422 samples/sec accuracy=42.716856 loss=2.503922 lr=0.103437 Epoch[059] Batch [1699]/[3760] Speed: 61.907173 samples/sec accuracy=42.714154 loss=2.504101 lr=0.103430 Epoch[059] Batch [1749]/[3760] Speed: 62.275905 samples/sec accuracy=42.708036 loss=2.502398 lr=0.103423 Epoch[059] 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accuracy=42.593750 loss=2.505910 lr=0.103356 Epoch[059] Batch [2299]/[3760] Speed: 61.506061 samples/sec accuracy=42.606658 loss=2.505193 lr=0.103349 Epoch[059] Batch [2349]/[3760] Speed: 62.221102 samples/sec accuracy=42.602394 loss=2.505984 lr=0.103342 Epoch[059] Batch [2399]/[3760] Speed: 61.527652 samples/sec accuracy=42.605469 loss=2.506856 lr=0.103336 Epoch[059] Batch [2449]/[3760] Speed: 62.494172 samples/sec accuracy=42.563776 loss=2.508615 lr=0.103329 Epoch[059] Batch [2499]/[3760] Speed: 61.640400 samples/sec accuracy=42.580000 loss=2.507975 lr=0.103322 Epoch[059] Batch [2549]/[3760] Speed: 62.170300 samples/sec accuracy=42.620711 loss=2.505929 lr=0.103315 Epoch[059] Batch [2599]/[3760] Speed: 61.988062 samples/sec accuracy=42.612380 loss=2.506283 lr=0.103309 Epoch[059] Batch [2649]/[3760] Speed: 61.928131 samples/sec accuracy=42.622642 loss=2.506324 lr=0.103302 Epoch[059] Batch [2699]/[3760] Speed: 61.263189 samples/sec accuracy=42.619213 loss=2.506736 lr=0.103295 Epoch[059] 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accuracy=42.502441 loss=2.511383 lr=0.103227 Epoch[059] Batch [3249]/[3760] Speed: 61.430466 samples/sec accuracy=42.481731 loss=2.511900 lr=0.103220 Epoch[059] Batch [3299]/[3760] Speed: 62.050201 samples/sec accuracy=42.481534 loss=2.511849 lr=0.103213 Epoch[059] Batch [3349]/[3760] Speed: 61.582056 samples/sec accuracy=42.491604 loss=2.511642 lr=0.103206 Epoch[059] Batch [3399]/[3760] Speed: 62.424506 samples/sec accuracy=42.480239 loss=2.512407 lr=0.103200 Epoch[059] Batch [3449]/[3760] Speed: 61.558634 samples/sec accuracy=42.480525 loss=2.512300 lr=0.103193 Epoch[059] Batch [3499]/[3760] Speed: 62.060844 samples/sec accuracy=42.479911 loss=2.511931 lr=0.103186 Epoch[059] Batch [3549]/[3760] Speed: 62.004119 samples/sec accuracy=42.481954 loss=2.511646 lr=0.103179 Epoch[059] Batch [3599]/[3760] Speed: 61.948008 samples/sec accuracy=42.493490 loss=2.511128 lr=0.103172 Epoch[059] Batch [3649]/[3760] Speed: 61.354234 samples/sec accuracy=42.479880 loss=2.510981 lr=0.103165 Epoch[059] Batch [3699]/[3760] Speed: 62.713199 samples/sec accuracy=42.478463 loss=2.511565 lr=0.103159 Epoch[059] Batch [3749]/[3760] Speed: 66.074698 samples/sec accuracy=42.483333 loss=2.511628 lr=0.103152 Batch [0049]/[0303]: acc-top1=40.843750 acc-top5=68.218750 Batch [0099]/[0303]: acc-top1=42.906250 acc-top5=69.375000 Batch [0149]/[0303]: acc-top1=42.958333 acc-top5=69.291667 Batch [0199]/[0303]: acc-top1=43.265625 acc-top5=69.656250 Batch [0249]/[0303]: acc-top1=43.075000 acc-top5=69.437500 Batch [0299]/[0303]: acc-top1=43.343750 acc-top5=69.718750 [Epoch 059] training: accuracy=42.479222 loss=2.511540 [Epoch 059] speed: 61 samples/sec time cost: 4218.007249 [Epoch 059] validation: acc-top1=43.337459 acc-top5=69.704002 loss=2.727147 Epoch[060] Batch [0049]/[3760] Speed: 41.461749 samples/sec accuracy=44.531250 loss=2.451705 lr=0.103143 Epoch[060] Batch [0099]/[3760] Speed: 59.376391 samples/sec accuracy=44.015625 loss=2.456328 lr=0.103137 Epoch[060] Batch [0149]/[3760] Speed: 61.609387 samples/sec accuracy=43.260417 loss=2.480864 lr=0.103130 Epoch[060] Batch [0199]/[3760] Speed: 60.908914 samples/sec accuracy=42.882812 loss=2.492142 lr=0.103123 Epoch[060] Batch [0249]/[3760] Speed: 62.338297 samples/sec accuracy=42.818750 loss=2.484635 lr=0.103116 Epoch[060] Batch [0299]/[3760] Speed: 61.617092 samples/sec accuracy=42.895833 loss=2.480749 lr=0.103109 Epoch[060] Batch [0349]/[3760] Speed: 62.224353 samples/sec accuracy=42.674107 loss=2.491556 lr=0.103102 Epoch[060] Batch [0399]/[3760] Speed: 61.445443 samples/sec accuracy=42.843750 loss=2.483127 lr=0.103095 Epoch[060] Batch [0449]/[3760] Speed: 62.505317 samples/sec accuracy=42.774306 loss=2.483412 lr=0.103088 Epoch[060] Batch [0499]/[3760] Speed: 61.594710 samples/sec accuracy=42.862500 loss=2.481877 lr=0.103082 Epoch[060] Batch [0549]/[3760] Speed: 61.774087 samples/sec accuracy=42.781250 loss=2.483842 lr=0.103075 Epoch[060] Batch [0599]/[3760] Speed: 62.540865 samples/sec accuracy=42.872396 loss=2.481088 lr=0.103068 Epoch[060] Batch [0649]/[3760] Speed: 61.713217 samples/sec accuracy=42.891827 loss=2.483438 lr=0.103061 Epoch[060] Batch [0699]/[3760] Speed: 62.032774 samples/sec accuracy=42.919643 loss=2.483874 lr=0.103054 Epoch[060] Batch [0749]/[3760] Speed: 61.881483 samples/sec accuracy=42.870833 loss=2.486996 lr=0.103047 Epoch[060] Batch [0799]/[3760] Speed: 62.339255 samples/sec accuracy=42.921875 loss=2.484996 lr=0.103040 Epoch[060] Batch [0849]/[3760] Speed: 61.263825 samples/sec accuracy=42.943015 loss=2.483284 lr=0.103033 Epoch[060] Batch [0899]/[3760] Speed: 62.426917 samples/sec accuracy=43.050347 loss=2.481652 lr=0.103026 Epoch[060] Batch [0949]/[3760] Speed: 61.854712 samples/sec accuracy=42.973684 loss=2.484033 lr=0.103019 Epoch[060] Batch [0999]/[3760] Speed: 61.943208 samples/sec accuracy=42.901563 loss=2.487755 lr=0.103013 Epoch[060] Batch [1049]/[3760] Speed: 62.066790 samples/sec accuracy=42.848214 loss=2.490431 lr=0.103006 Epoch[060] Batch [1099]/[3760] Speed: 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lr=0.102936 Epoch[060] Batch [1599]/[3760] Speed: 61.869277 samples/sec accuracy=42.712891 loss=2.492714 lr=0.102929 Epoch[060] Batch [1649]/[3760] Speed: 61.918995 samples/sec accuracy=42.684659 loss=2.493642 lr=0.102922 Epoch[060] Batch [1699]/[3760] Speed: 62.113710 samples/sec accuracy=42.613051 loss=2.496251 lr=0.102915 Epoch[060] Batch [1749]/[3760] Speed: 62.063001 samples/sec accuracy=42.624107 loss=2.495682 lr=0.102908 Epoch[060] Batch [1799]/[3760] Speed: 62.470445 samples/sec accuracy=42.574653 loss=2.498872 lr=0.102901 Epoch[060] Batch [1849]/[3760] Speed: 61.900812 samples/sec accuracy=42.641892 loss=2.497724 lr=0.102894 Epoch[060] Batch [1899]/[3760] Speed: 62.212675 samples/sec accuracy=42.645559 loss=2.497514 lr=0.102887 Epoch[060] Batch [1949]/[3760] Speed: 61.277056 samples/sec accuracy=42.665865 loss=2.497250 lr=0.102880 Epoch[060] Batch [1999]/[3760] Speed: 62.679701 samples/sec accuracy=42.676562 loss=2.496881 lr=0.102874 Epoch[060] Batch [2049]/[3760] Speed: 61.017945 samples/sec accuracy=42.679116 loss=2.496722 lr=0.102867 Epoch[060] Batch [2099]/[3760] Speed: 62.761274 samples/sec accuracy=42.683036 loss=2.496441 lr=0.102860 Epoch[060] Batch [2149]/[3760] Speed: 61.911894 samples/sec accuracy=42.656977 loss=2.497538 lr=0.102853 Epoch[060] Batch [2199]/[3760] Speed: 62.028353 samples/sec accuracy=42.657670 loss=2.496897 lr=0.102846 Epoch[060] Batch [2249]/[3760] Speed: 61.752790 samples/sec accuracy=42.665278 loss=2.496643 lr=0.102839 Epoch[060] Batch [2299]/[3760] Speed: 62.083682 samples/sec accuracy=42.679348 loss=2.497246 lr=0.102832 Epoch[060] Batch [2349]/[3760] Speed: 62.358677 samples/sec accuracy=42.685505 loss=2.497814 lr=0.102825 Epoch[060] Batch [2399]/[3760] Speed: 62.126940 samples/sec accuracy=42.695312 loss=2.497700 lr=0.102818 Epoch[060] Batch [2449]/[3760] Speed: 61.882136 samples/sec accuracy=42.712372 loss=2.497008 lr=0.102811 Epoch[060] Batch [2499]/[3760] Speed: 62.032759 samples/sec accuracy=42.705000 loss=2.497243 lr=0.102804 Epoch[060] Batch [2549]/[3760] Speed: 61.712568 samples/sec accuracy=42.724877 loss=2.496858 lr=0.102796 Epoch[060] Batch [2599]/[3760] Speed: 61.836691 samples/sec accuracy=42.727764 loss=2.497170 lr=0.102789 Epoch[060] Batch [2649]/[3760] Speed: 62.400994 samples/sec accuracy=42.729953 loss=2.498151 lr=0.102782 Epoch[060] Batch [2699]/[3760] Speed: 62.086858 samples/sec accuracy=42.728009 loss=2.498397 lr=0.102775 Epoch[060] Batch [2749]/[3760] Speed: 61.553474 samples/sec accuracy=42.718750 loss=2.499056 lr=0.102768 Epoch[060] Batch [2799]/[3760] Speed: 62.203371 samples/sec accuracy=42.736607 loss=2.497877 lr=0.102761 Epoch[060] Batch [2849]/[3760] Speed: 61.855400 samples/sec accuracy=42.722039 loss=2.498158 lr=0.102754 Epoch[060] Batch [2899]/[3760] Speed: 61.965594 samples/sec accuracy=42.735453 loss=2.497959 lr=0.102747 Epoch[060] Batch [2949]/[3760] Speed: 61.777930 samples/sec accuracy=42.746822 loss=2.497358 lr=0.102740 Epoch[060] Batch [2999]/[3760] Speed: 62.282366 samples/sec accuracy=42.739063 loss=2.497895 lr=0.102733 Epoch[060] Batch [3049]/[3760] Speed: 61.875690 samples/sec accuracy=42.734119 loss=2.498372 lr=0.102726 Epoch[060] Batch [3099]/[3760] Speed: 62.506072 samples/sec accuracy=42.704637 loss=2.499237 lr=0.102719 Epoch[060] Batch [3149]/[3760] Speed: 61.387978 samples/sec accuracy=42.701389 loss=2.498984 lr=0.102712 Epoch[060] Batch [3199]/[3760] Speed: 61.933831 samples/sec accuracy=42.703125 loss=2.499111 lr=0.102705 Epoch[060] Batch [3249]/[3760] Speed: 61.915391 samples/sec accuracy=42.690385 loss=2.499931 lr=0.102698 Epoch[060] Batch [3299]/[3760] Speed: 61.943501 samples/sec accuracy=42.683712 loss=2.500891 lr=0.102691 Epoch[060] Batch [3349]/[3760] Speed: 61.738322 samples/sec accuracy=42.667910 loss=2.501247 lr=0.102684 Epoch[060] Batch [3399]/[3760] Speed: 61.651142 samples/sec accuracy=42.637408 loss=2.502564 lr=0.102677 Epoch[060] Batch [3449]/[3760] Speed: 62.396966 samples/sec accuracy=42.616395 loss=2.503148 lr=0.102670 Epoch[060] Batch [3499]/[3760] Speed: 61.514336 samples/sec accuracy=42.626339 loss=2.502649 lr=0.102663 Epoch[060] Batch [3549]/[3760] Speed: 62.112805 samples/sec accuracy=42.602113 loss=2.503227 lr=0.102655 Epoch[060] Batch [3599]/[3760] Speed: 62.027018 samples/sec accuracy=42.605469 loss=2.502464 lr=0.102648 Epoch[060] Batch [3649]/[3760] Speed: 61.879265 samples/sec accuracy=42.601455 loss=2.502533 lr=0.102641 Epoch[060] Batch [3699]/[3760] Speed: 61.593290 samples/sec accuracy=42.597973 loss=2.503098 lr=0.102634 Epoch[060] Batch [3749]/[3760] Speed: 67.339113 samples/sec accuracy=42.612083 loss=2.502916 lr=0.102627 Batch [0049]/[0303]: acc-top1=42.531250 acc-top5=69.781250 Batch [0099]/[0303]: acc-top1=44.296875 acc-top5=71.281250 Batch [0149]/[0303]: acc-top1=43.854167 acc-top5=70.947917 Batch [0199]/[0303]: acc-top1=43.890625 acc-top5=71.046875 Batch [0249]/[0303]: acc-top1=43.525000 acc-top5=70.775000 Batch [0299]/[0303]: acc-top1=43.770833 acc-top5=70.937500 [Epoch 060] training: accuracy=42.614279 loss=2.502707 [Epoch 060] speed: 61 samples/sec time cost: 4203.080489 [Epoch 060] validation: acc-top1=43.719059 acc-top5=70.879744 loss=2.692321 Epoch[061] Batch [0049]/[3759] Speed: 40.669987 samples/sec accuracy=43.843750 loss=2.387392 lr=0.102619 Epoch[061] Batch [0099]/[3759] Speed: 59.644742 samples/sec accuracy=42.953125 loss=2.458005 lr=0.102611 Epoch[061] Batch [0149]/[3759] Speed: 60.199780 samples/sec accuracy=42.718750 loss=2.468920 lr=0.102604 Epoch[061] Batch [0199]/[3759] Speed: 61.450270 samples/sec accuracy=42.898438 loss=2.462069 lr=0.102597 Epoch[061] Batch [0249]/[3759] Speed: 61.890238 samples/sec accuracy=42.918750 loss=2.467045 lr=0.102590 Epoch[061] Batch [0299]/[3759] Speed: 61.486267 samples/sec accuracy=43.052083 loss=2.467475 lr=0.102583 Epoch[061] Batch [0349]/[3759] Speed: 62.090994 samples/sec accuracy=43.406250 loss=2.464676 lr=0.102576 Epoch[061] Batch [0399]/[3759] Speed: 61.443491 samples/sec accuracy=43.363281 loss=2.470989 lr=0.102569 Epoch[061] Batch [0449]/[3759] Speed: 62.303023 samples/sec accuracy=43.368056 loss=2.473803 lr=0.102562 Epoch[061] Batch [0499]/[3759] Speed: 61.234961 samples/sec accuracy=43.443750 loss=2.475361 lr=0.102555 Epoch[061] Batch [0549]/[3759] Speed: 62.250246 samples/sec accuracy=43.431818 loss=2.476740 lr=0.102547 Epoch[061] Batch [0599]/[3759] Speed: 61.646158 samples/sec accuracy=43.333333 loss=2.477791 lr=0.102540 Epoch[061] Batch [0649]/[3759] Speed: 61.910056 samples/sec accuracy=43.108173 loss=2.484429 lr=0.102533 Epoch[061] Batch [0699]/[3759] Speed: 61.819894 samples/sec accuracy=43.116071 loss=2.483136 lr=0.102526 Epoch[061] Batch [0749]/[3759] Speed: 61.809780 samples/sec accuracy=43.097917 loss=2.485744 lr=0.102519 Epoch[061] Batch [0799]/[3759] Speed: 61.836123 samples/sec accuracy=43.074219 loss=2.488900 lr=0.102512 Epoch[061] Batch [0849]/[3759] Speed: 61.414340 samples/sec accuracy=43.125000 loss=2.484075 lr=0.102505 Epoch[061] 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accuracy=43.011574 loss=2.487732 lr=0.102433 Epoch[061] Batch [1399]/[3759] Speed: 62.209942 samples/sec accuracy=42.989955 loss=2.487750 lr=0.102426 Epoch[061] Batch [1449]/[3759] Speed: 61.604694 samples/sec accuracy=42.996767 loss=2.486904 lr=0.102419 Epoch[061] Batch [1499]/[3759] Speed: 61.916129 samples/sec accuracy=43.003125 loss=2.486770 lr=0.102411 Epoch[061] Batch [1549]/[3759] Speed: 62.145805 samples/sec accuracy=43.026210 loss=2.487141 lr=0.102404 Epoch[061] Batch [1599]/[3759] Speed: 61.424826 samples/sec accuracy=42.990234 loss=2.487899 lr=0.102397 Epoch[061] Batch [1649]/[3759] Speed: 62.250415 samples/sec accuracy=42.988636 loss=2.488696 lr=0.102390 Epoch[061] Batch [1699]/[3759] Speed: 61.951200 samples/sec accuracy=42.994485 loss=2.488667 lr=0.102383 Epoch[061] Batch [1749]/[3759] Speed: 62.227593 samples/sec accuracy=43.000000 loss=2.488270 lr=0.102375 Epoch[061] Batch [1799]/[3759] Speed: 61.591840 samples/sec accuracy=42.989583 loss=2.488907 lr=0.102368 Epoch[061] Batch [1849]/[3759] Speed: 62.324533 samples/sec accuracy=42.967905 loss=2.489422 lr=0.102361 Epoch[061] Batch [1899]/[3759] Speed: 61.913551 samples/sec accuracy=42.938322 loss=2.490329 lr=0.102354 Epoch[061] Batch [1949]/[3759] Speed: 61.684187 samples/sec accuracy=42.919071 loss=2.490522 lr=0.102347 Epoch[061] Batch [1999]/[3759] Speed: 62.588145 samples/sec accuracy=42.904688 loss=2.492404 lr=0.102339 Epoch[061] Batch [2049]/[3759] Speed: 61.479255 samples/sec accuracy=42.898628 loss=2.493894 lr=0.102332 Epoch[061] Batch [2099]/[3759] Speed: 62.299648 samples/sec accuracy=42.875744 loss=2.494018 lr=0.102325 Epoch[061] Batch [2149]/[3759] Speed: 61.548202 samples/sec accuracy=42.859012 loss=2.496364 lr=0.102318 Epoch[061] Batch [2199]/[3759] Speed: 62.594672 samples/sec accuracy=42.866477 loss=2.496036 lr=0.102310 Epoch[061] Batch [2249]/[3759] Speed: 62.000918 samples/sec accuracy=42.841667 loss=2.496783 lr=0.102303 Epoch[061] Batch [2299]/[3759] Speed: 61.655125 samples/sec accuracy=42.859375 loss=2.496612 lr=0.102296 Epoch[061] Batch [2349]/[3759] Speed: 61.893965 samples/sec accuracy=42.849069 loss=2.496564 lr=0.102289 Epoch[061] Batch [2399]/[3759] Speed: 61.673539 samples/sec accuracy=42.830729 loss=2.496577 lr=0.102281 Epoch[061] Batch [2449]/[3759] Speed: 61.707679 samples/sec accuracy=42.856505 loss=2.495394 lr=0.102274 Epoch[061] Batch [2499]/[3759] Speed: 61.650807 samples/sec accuracy=42.840000 loss=2.495522 lr=0.102267 Epoch[061] Batch [2549]/[3759] Speed: 62.317721 samples/sec accuracy=42.816176 loss=2.496100 lr=0.102260 Epoch[061] Batch [2599]/[3759] Speed: 61.411921 samples/sec accuracy=42.816707 loss=2.496995 lr=0.102252 Epoch[061] Batch [2649]/[3759] Speed: 62.049600 samples/sec accuracy=42.826651 loss=2.497456 lr=0.102245 Epoch[061] Batch [2699]/[3759] Speed: 61.740140 samples/sec accuracy=42.809028 loss=2.498017 lr=0.102238 Epoch[061] Batch [2749]/[3759] Speed: 61.855851 samples/sec accuracy=42.832955 loss=2.498234 lr=0.102231 Epoch[061] 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Batch [3749]/[3759] Speed: 67.062761 samples/sec accuracy=42.712500 loss=2.501237 lr=0.102085 Batch [0049]/[0303]: acc-top1=41.062500 acc-top5=67.562500 Batch [0099]/[0303]: acc-top1=41.359375 acc-top5=68.546875 Batch [0149]/[0303]: acc-top1=41.031250 acc-top5=68.677083 Batch [0199]/[0303]: acc-top1=41.304688 acc-top5=68.960938 Batch [0249]/[0303]: acc-top1=41.231250 acc-top5=68.643750 Batch [0299]/[0303]: acc-top1=41.239583 acc-top5=68.760417 [Epoch 061] training: accuracy=42.712906 loss=2.501242 [Epoch 061] speed: 61 samples/sec time cost: 4210.721199 [Epoch 061] validation: acc-top1=41.187087 acc-top5=68.750000 loss=2.913993 Epoch[062] Batch [0049]/[3760] Speed: 40.988132 samples/sec accuracy=43.843750 loss=2.478355 lr=0.102076 Epoch[062] Batch [0099]/[3760] Speed: 59.326736 samples/sec accuracy=44.421875 loss=2.444190 lr=0.102069 Epoch[062] Batch [0149]/[3760] Speed: 61.384947 samples/sec accuracy=44.125000 loss=2.429763 lr=0.102061 Epoch[062] Batch [0199]/[3760] Speed: 59.972530 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lr=0.101562 Epoch[062] Batch [3549]/[3760] Speed: 62.199531 samples/sec accuracy=42.854754 loss=2.491962 lr=0.101555 Epoch[062] Batch [3599]/[3760] Speed: 61.404783 samples/sec accuracy=42.872396 loss=2.490534 lr=0.101547 Epoch[062] Batch [3649]/[3760] Speed: 61.510200 samples/sec accuracy=42.866866 loss=2.489653 lr=0.101540 Epoch[062] Batch [3699]/[3760] Speed: 61.979023 samples/sec accuracy=42.847551 loss=2.490303 lr=0.101532 Epoch[062] Batch [3749]/[3760] Speed: 66.280488 samples/sec accuracy=42.831250 loss=2.491541 lr=0.101525 Batch [0049]/[0303]: acc-top1=41.125000 acc-top5=68.062500 Batch [0099]/[0303]: acc-top1=42.734375 acc-top5=69.234375 Batch [0149]/[0303]: acc-top1=42.500000 acc-top5=69.604167 Batch [0199]/[0303]: acc-top1=42.687500 acc-top5=69.734375 Batch [0249]/[0303]: acc-top1=42.556250 acc-top5=69.606250 Batch [0299]/[0303]: acc-top1=42.718750 acc-top5=69.833333 [Epoch 062] training: accuracy=42.819564 loss=2.491746 [Epoch 062] speed: 61 samples/sec time cost: 4217.769741 [Epoch 062] validation: acc-top1=42.672236 acc-top5=69.796823 loss=2.721361 Epoch[063] Batch [0049]/[3760] Speed: 40.983893 samples/sec accuracy=45.000000 loss=2.382565 lr=0.101515 Epoch[063] Batch [0099]/[3760] Speed: 59.173402 samples/sec accuracy=43.609375 loss=2.424750 lr=0.101508 Epoch[063] Batch [0149]/[3760] Speed: 61.810301 samples/sec accuracy=43.718750 loss=2.425033 lr=0.101500 Epoch[063] Batch [0199]/[3760] Speed: 60.606686 samples/sec accuracy=43.781250 loss=2.426702 lr=0.101493 Epoch[063] Batch [0249]/[3760] Speed: 61.368403 samples/sec accuracy=43.268750 loss=2.439533 lr=0.101485 Epoch[063] Batch [0299]/[3760] Speed: 61.044246 samples/sec accuracy=43.536458 loss=2.438642 lr=0.101478 Epoch[063] Batch [0349]/[3760] Speed: 61.559146 samples/sec accuracy=43.526786 loss=2.442805 lr=0.101470 Epoch[063] Batch [0399]/[3760] Speed: 60.843552 samples/sec accuracy=43.472656 loss=2.448543 lr=0.101462 Epoch[063] Batch [0449]/[3760] Speed: 61.806786 samples/sec 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[0049]/[0303]: acc-top1=40.500000 acc-top5=66.812500 Batch [0099]/[0303]: acc-top1=41.265625 acc-top5=68.015625 Batch [0149]/[0303]: acc-top1=40.989583 acc-top5=68.135417 Batch [0199]/[0303]: acc-top1=40.968750 acc-top5=68.437500 Batch [0249]/[0303]: acc-top1=40.600000 acc-top5=68.231250 Batch [0299]/[0303]: acc-top1=40.890625 acc-top5=68.588542 [Epoch 063] training: accuracy=42.775515 loss=2.493919 [Epoch 063] speed: 61 samples/sec time cost: 4215.905264 [Epoch 063] validation: acc-top1=40.846741 acc-top5=68.533416 loss=2.799314 Epoch[064] Batch [0049]/[3759] Speed: 40.956071 samples/sec accuracy=44.156250 loss=2.409700 lr=0.100937 Epoch[064] Batch [0099]/[3759] Speed: 60.230764 samples/sec accuracy=44.031250 loss=2.430349 lr=0.100930 Epoch[064] Batch [0149]/[3759] Speed: 60.854527 samples/sec accuracy=43.864583 loss=2.427688 lr=0.100922 Epoch[064] Batch [0199]/[3759] Speed: 60.884058 samples/sec accuracy=43.539062 loss=2.454791 lr=0.100914 Epoch[064] Batch [0249]/[3759] Speed: 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lr=0.100536 Epoch[064] Batch [2649]/[3759] Speed: 62.130779 samples/sec accuracy=43.004127 loss=2.476296 lr=0.100528 Epoch[064] Batch [2699]/[3759] Speed: 61.840108 samples/sec accuracy=43.009259 loss=2.476837 lr=0.100520 Epoch[064] Batch [2749]/[3759] Speed: 62.067572 samples/sec accuracy=43.034091 loss=2.475971 lr=0.100512 Epoch[064] Batch [2799]/[3759] Speed: 61.631842 samples/sec accuracy=43.027902 loss=2.476005 lr=0.100504 Epoch[064] Batch [2849]/[3759] Speed: 62.199031 samples/sec accuracy=43.042763 loss=2.475541 lr=0.100496 Epoch[064] Batch [2899]/[3759] Speed: 61.895961 samples/sec accuracy=43.033405 loss=2.475834 lr=0.100488 Epoch[064] Batch [2949]/[3759] Speed: 62.087949 samples/sec accuracy=43.018538 loss=2.476686 lr=0.100480 Epoch[064] Batch [2999]/[3759] Speed: 62.119411 samples/sec accuracy=42.992708 loss=2.478442 lr=0.100472 Epoch[064] Batch [3049]/[3759] Speed: 61.638307 samples/sec accuracy=42.974385 loss=2.479258 lr=0.100464 Epoch[064] Batch [3099]/[3759] Speed: 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lr=0.100384 Epoch[064] Batch [3599]/[3759] Speed: 61.518236 samples/sec accuracy=42.994792 loss=2.478710 lr=0.100376 Epoch[064] Batch [3649]/[3759] Speed: 62.205888 samples/sec accuracy=42.960616 loss=2.479390 lr=0.100368 Epoch[064] Batch [3699]/[3759] Speed: 61.592102 samples/sec accuracy=42.970861 loss=2.479430 lr=0.100360 Epoch[064] Batch [3749]/[3759] Speed: 67.032383 samples/sec accuracy=42.964167 loss=2.479963 lr=0.100352 Batch [0049]/[0303]: acc-top1=42.062500 acc-top5=68.812500 Batch [0099]/[0303]: acc-top1=43.421875 acc-top5=70.031250 Batch [0149]/[0303]: acc-top1=42.927083 acc-top5=70.135417 Batch [0199]/[0303]: acc-top1=43.156250 acc-top5=70.218750 Batch [0249]/[0303]: acc-top1=42.912500 acc-top5=70.037500 Batch [0299]/[0303]: acc-top1=43.140625 acc-top5=70.229167 [Epoch 064] training: accuracy=42.961476 loss=2.480169 [Epoch 064] speed: 61 samples/sec time cost: 4207.477470 [Epoch 064] validation: acc-top1=43.089934 acc-top5=70.168111 loss=2.713944 Epoch[065] Batch 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accuracy=43.450000 loss=2.447696 lr=0.100270 Epoch[065] Batch [0549]/[3760] Speed: 61.893258 samples/sec accuracy=43.440341 loss=2.447139 lr=0.100262 Epoch[065] Batch [0599]/[3760] Speed: 61.378898 samples/sec accuracy=43.468750 loss=2.442513 lr=0.100254 Epoch[065] Batch [0649]/[3760] Speed: 61.698313 samples/sec accuracy=43.495192 loss=2.440456 lr=0.100246 Epoch[065] Batch [0699]/[3760] Speed: 62.322299 samples/sec accuracy=43.439732 loss=2.444176 lr=0.100238 Epoch[065] Batch [0749]/[3760] Speed: 61.276074 samples/sec accuracy=43.377083 loss=2.448616 lr=0.100230 Epoch[065] Batch [0799]/[3760] Speed: 62.711895 samples/sec accuracy=43.414062 loss=2.449646 lr=0.100222 Epoch[065] Batch [0849]/[3760] Speed: 61.433692 samples/sec accuracy=43.295956 loss=2.454402 lr=0.100213 Epoch[065] Batch [0899]/[3760] Speed: 62.477241 samples/sec accuracy=43.329861 loss=2.454928 lr=0.100205 Epoch[065] Batch [0949]/[3760] Speed: 61.122057 samples/sec accuracy=43.286184 loss=2.456368 lr=0.100197 Epoch[065] 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accuracy=43.093750 loss=2.468504 lr=0.100116 Epoch[065] Batch [1499]/[3760] Speed: 61.566772 samples/sec accuracy=43.123958 loss=2.467164 lr=0.100108 Epoch[065] Batch [1549]/[3760] Speed: 61.726177 samples/sec accuracy=43.164315 loss=2.466397 lr=0.100100 Epoch[065] Batch [1599]/[3760] Speed: 61.395602 samples/sec accuracy=43.152344 loss=2.466450 lr=0.100092 Epoch[065] Batch [1649]/[3760] Speed: 63.129758 samples/sec accuracy=43.113636 loss=2.466840 lr=0.100084 Epoch[065] Batch [1699]/[3760] Speed: 61.856483 samples/sec accuracy=43.141544 loss=2.466008 lr=0.100076 Epoch[065] Batch [1749]/[3760] Speed: 61.666036 samples/sec accuracy=43.138393 loss=2.465896 lr=0.100068 Epoch[065] Batch [1799]/[3760] Speed: 61.921848 samples/sec accuracy=43.158854 loss=2.465414 lr=0.100059 Epoch[065] Batch [1849]/[3760] Speed: 61.864932 samples/sec accuracy=43.144426 loss=2.466214 lr=0.100051 Epoch[065] Batch [1899]/[3760] Speed: 61.882212 samples/sec accuracy=43.159539 loss=2.464737 lr=0.100043 Epoch[065] 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accuracy=43.095616 loss=2.473473 lr=0.099806 Epoch[065] Batch [3399]/[3760] Speed: 61.710798 samples/sec accuracy=43.092371 loss=2.473225 lr=0.099798 Epoch[065] Batch [3449]/[3760] Speed: 62.443158 samples/sec accuracy=43.096467 loss=2.473327 lr=0.099789 Epoch[065] Batch [3499]/[3760] Speed: 62.099043 samples/sec accuracy=43.092857 loss=2.473825 lr=0.099781 Epoch[065] Batch [3549]/[3760] Speed: 61.841546 samples/sec accuracy=43.079665 loss=2.474420 lr=0.099773 Epoch[065] Batch [3599]/[3760] Speed: 62.467930 samples/sec accuracy=43.082031 loss=2.474947 lr=0.099765 Epoch[065] Batch [3649]/[3760] Speed: 61.937661 samples/sec accuracy=43.108305 loss=2.474317 lr=0.099756 Epoch[065] Batch [3699]/[3760] Speed: 62.124075 samples/sec accuracy=43.102618 loss=2.475757 lr=0.099748 Epoch[065] Batch [3749]/[3760] Speed: 66.676520 samples/sec accuracy=43.091250 loss=2.476154 lr=0.099740 Batch [0049]/[0303]: acc-top1=42.312500 acc-top5=69.375000 Batch [0099]/[0303]: acc-top1=43.718750 acc-top5=70.312500 Batch [0149]/[0303]: acc-top1=43.291667 acc-top5=69.927083 Batch [0199]/[0303]: acc-top1=43.453125 acc-top5=70.140625 Batch [0249]/[0303]: acc-top1=43.437500 acc-top5=69.868750 Batch [0299]/[0303]: acc-top1=43.578125 acc-top5=70.119792 [Epoch 065] training: accuracy=43.093002 loss=2.476168 [Epoch 065] speed: 61 samples/sec time cost: 4207.994400 [Epoch 065] validation: acc-top1=43.502475 acc-top5=70.064975 loss=2.773220 Epoch[066] Batch [0049]/[3759] Speed: 40.434033 samples/sec accuracy=41.906250 loss=2.500504 lr=0.099730 Epoch[066] Batch [0099]/[3759] Speed: 59.669055 samples/sec accuracy=43.171875 loss=2.450618 lr=0.099722 Epoch[066] Batch [0149]/[3759] Speed: 61.576290 samples/sec accuracy=43.145833 loss=2.456995 lr=0.099713 Epoch[066] Batch [0199]/[3759] Speed: 60.718325 samples/sec accuracy=43.250000 loss=2.449360 lr=0.099705 Epoch[066] Batch [0249]/[3759] Speed: 61.056063 samples/sec accuracy=43.681250 loss=2.439248 lr=0.099697 Epoch[066] Batch [0299]/[3759] 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accuracy=43.593750 loss=2.455304 lr=0.099456 Epoch[066] Batch [1749]/[3759] Speed: 61.600752 samples/sec accuracy=43.597321 loss=2.455604 lr=0.099448 Epoch[066] Batch [1799]/[3759] Speed: 62.365880 samples/sec accuracy=43.590278 loss=2.456237 lr=0.099439 Epoch[066] Batch [1849]/[3759] Speed: 61.990419 samples/sec accuracy=43.559966 loss=2.456415 lr=0.099431 Epoch[066] Batch [1899]/[3759] Speed: 62.098809 samples/sec accuracy=43.549342 loss=2.456315 lr=0.099423 Epoch[066] Batch [1949]/[3759] Speed: 61.345341 samples/sec accuracy=43.519231 loss=2.457373 lr=0.099414 Epoch[066] Batch [1999]/[3759] Speed: 61.943105 samples/sec accuracy=43.500000 loss=2.458560 lr=0.099406 Epoch[066] Batch [2049]/[3759] Speed: 62.064814 samples/sec accuracy=43.473323 loss=2.459332 lr=0.099397 Epoch[066] Batch [2099]/[3759] Speed: 61.097984 samples/sec accuracy=43.483631 loss=2.458485 lr=0.099389 Epoch[066] Batch [2149]/[3759] Speed: 62.513698 samples/sec accuracy=43.454942 loss=2.458798 lr=0.099381 Epoch[066] 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accuracy=43.317807 loss=2.465138 lr=0.099297 Epoch[066] Batch [2699]/[3759] Speed: 61.058872 samples/sec accuracy=43.314815 loss=2.465303 lr=0.099288 Epoch[066] Batch [2749]/[3759] Speed: 62.504539 samples/sec accuracy=43.312500 loss=2.465004 lr=0.099280 Epoch[066] Batch [2799]/[3759] Speed: 62.037438 samples/sec accuracy=43.312500 loss=2.465382 lr=0.099271 Epoch[066] Batch [2849]/[3759] Speed: 61.702438 samples/sec accuracy=43.311404 loss=2.465430 lr=0.099263 Epoch[066] Batch [2899]/[3759] Speed: 61.762714 samples/sec accuracy=43.309806 loss=2.465443 lr=0.099255 Epoch[066] Batch [2949]/[3759] Speed: 61.686196 samples/sec accuracy=43.323623 loss=2.465442 lr=0.099246 Epoch[066] Batch [2999]/[3759] Speed: 61.809208 samples/sec accuracy=43.318750 loss=2.466174 lr=0.099238 Epoch[066] Batch [3049]/[3759] Speed: 61.161046 samples/sec accuracy=43.283811 loss=2.467847 lr=0.099229 Epoch[066] Batch [3099]/[3759] Speed: 61.765481 samples/sec accuracy=43.277218 loss=2.468532 lr=0.099221 Epoch[066] 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accuracy=43.220920 loss=2.470567 lr=0.099136 Epoch[066] Batch [3649]/[3759] Speed: 61.722539 samples/sec accuracy=43.209760 loss=2.471048 lr=0.099128 Epoch[066] Batch [3699]/[3759] Speed: 62.335961 samples/sec accuracy=43.218750 loss=2.470991 lr=0.099119 Epoch[066] Batch [3749]/[3759] Speed: 67.508439 samples/sec accuracy=43.203333 loss=2.471669 lr=0.099111 Batch [0049]/[0303]: acc-top1=41.156250 acc-top5=69.250000 Batch [0099]/[0303]: acc-top1=42.375000 acc-top5=69.953125 Batch [0149]/[0303]: acc-top1=41.906250 acc-top5=69.697917 Batch [0199]/[0303]: acc-top1=41.929688 acc-top5=69.695312 Batch [0249]/[0303]: acc-top1=41.906250 acc-top5=69.487500 Batch [0299]/[0303]: acc-top1=42.166667 acc-top5=69.781250 [Epoch 066] training: accuracy=43.208799 loss=2.471706 [Epoch 066] speed: 61 samples/sec time cost: 4214.858590 [Epoch 066] validation: acc-top1=42.084365 acc-top5=69.740099 loss=2.883730 Epoch[067] Batch [0049]/[3760] Speed: 41.193307 samples/sec accuracy=44.468750 loss=2.446456 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acc-top1=42.625000 acc-top5=70.125000 Batch [0249]/[0303]: acc-top1=42.418750 acc-top5=69.856250 Batch [0299]/[0303]: acc-top1=42.828125 acc-top5=70.265625 [Epoch 067] training: accuracy=43.319066 loss=2.467654 [Epoch 067] speed: 61 samples/sec time cost: 4211.191380 [Epoch 067] validation: acc-top1=42.734117 acc-top5=70.199051 loss=2.696567 Epoch[068] Batch [0049]/[3760] Speed: 40.925512 samples/sec accuracy=44.812500 loss=2.417865 lr=0.098455 Epoch[068] Batch [0099]/[3760] Speed: 59.865162 samples/sec accuracy=44.812500 loss=2.402323 lr=0.098447 Epoch[068] Batch [0149]/[3760] Speed: 61.595072 samples/sec accuracy=44.822917 loss=2.389476 lr=0.098438 Epoch[068] Batch [0199]/[3760] Speed: 60.589976 samples/sec accuracy=44.335938 loss=2.413847 lr=0.098429 Epoch[068] Batch [0249]/[3760] Speed: 61.597512 samples/sec accuracy=43.875000 loss=2.421196 lr=0.098420 Epoch[068] Batch [0299]/[3760] Speed: 61.446253 samples/sec accuracy=43.942708 loss=2.419249 lr=0.098412 Epoch[068] Batch 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accuracy=43.276113 loss=2.465672 lr=0.097822 Epoch[068] Batch [3699]/[3760] Speed: 62.869223 samples/sec accuracy=43.285051 loss=2.466068 lr=0.097813 Epoch[068] Batch [3749]/[3760] Speed: 66.958804 samples/sec accuracy=43.288333 loss=2.465792 lr=0.097804 Batch [0049]/[0303]: acc-top1=42.156250 acc-top5=69.968750 Batch [0099]/[0303]: acc-top1=43.390625 acc-top5=70.546875 Batch [0149]/[0303]: acc-top1=43.135417 acc-top5=70.187500 Batch [0199]/[0303]: acc-top1=43.578125 acc-top5=70.382812 Batch [0249]/[0303]: acc-top1=43.312500 acc-top5=70.206250 Batch [0299]/[0303]: acc-top1=43.515625 acc-top5=70.505208 [Epoch 068] training: accuracy=43.282081 loss=2.466026 [Epoch 068] speed: 61 samples/sec time cost: 4213.689481 [Epoch 068] validation: acc-top1=43.476691 acc-top5=70.472360 loss=2.702432 Epoch[069] Batch [0049]/[3759] Speed: 40.788444 samples/sec accuracy=44.875000 loss=2.410673 lr=0.097793 Epoch[069] Batch [0099]/[3759] Speed: 60.054145 samples/sec accuracy=44.250000 loss=2.438185 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[0299]/[0303]: acc-top1=43.447917 acc-top5=70.479167 [Epoch 069] training: accuracy=43.326849 loss=2.461967 [Epoch 069] speed: 61 samples/sec time cost: 4218.369579 [Epoch 069] validation: acc-top1=43.394183 acc-top5=70.420792 loss=2.660617 Epoch[070] Batch [0049]/[3760] Speed: 40.651743 samples/sec accuracy=45.187500 loss=2.369378 lr=0.097115 Epoch[070] Batch [0099]/[3760] Speed: 59.926758 samples/sec accuracy=44.734375 loss=2.381500 lr=0.097106 Epoch[070] Batch [0149]/[3760] Speed: 60.756780 samples/sec accuracy=44.531250 loss=2.397746 lr=0.097097 Epoch[070] Batch [0199]/[3760] Speed: 60.830244 samples/sec accuracy=44.554688 loss=2.391252 lr=0.097088 Epoch[070] Batch [0249]/[3760] Speed: 61.161522 samples/sec accuracy=44.562500 loss=2.401472 lr=0.097079 Epoch[070] Batch [0299]/[3760] Speed: 61.489170 samples/sec accuracy=44.562500 loss=2.400835 lr=0.097069 Epoch[070] Batch [0349]/[3760] Speed: 62.269595 samples/sec accuracy=44.566964 loss=2.399560 lr=0.097060 Epoch[070] Batch 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accuracy=44.227941 loss=2.420307 lr=0.096969 Epoch[070] Batch [0899]/[3760] Speed: 61.575483 samples/sec accuracy=44.217014 loss=2.421611 lr=0.096960 Epoch[070] Batch [0949]/[3760] Speed: 61.535721 samples/sec accuracy=44.174342 loss=2.425609 lr=0.096950 Epoch[070] Batch [0999]/[3760] Speed: 62.008201 samples/sec accuracy=44.095312 loss=2.427522 lr=0.096941 Epoch[070] Batch [1049]/[3760] Speed: 61.546822 samples/sec accuracy=44.110119 loss=2.426427 lr=0.096932 Epoch[070] Batch [1099]/[3760] Speed: 61.796840 samples/sec accuracy=44.083807 loss=2.427082 lr=0.096923 Epoch[070] Batch [1149]/[3760] Speed: 61.406023 samples/sec accuracy=44.025815 loss=2.429157 lr=0.096914 Epoch[070] Batch [1199]/[3760] Speed: 61.499905 samples/sec accuracy=43.972656 loss=2.431203 lr=0.096904 Epoch[070] Batch [1249]/[3760] Speed: 61.965265 samples/sec accuracy=43.943750 loss=2.432644 lr=0.096895 Epoch[070] Batch [1299]/[3760] Speed: 62.085273 samples/sec accuracy=43.947115 loss=2.431587 lr=0.096886 Epoch[070] 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accuracy=43.671007 loss=2.441944 lr=0.096794 Epoch[070] Batch [1849]/[3760] Speed: 62.314882 samples/sec accuracy=43.644426 loss=2.443089 lr=0.096785 Epoch[070] Batch [1899]/[3760] Speed: 61.750969 samples/sec accuracy=43.680921 loss=2.443822 lr=0.096776 Epoch[070] Batch [1949]/[3760] Speed: 61.452304 samples/sec accuracy=43.652244 loss=2.445240 lr=0.096766 Epoch[070] Batch [1999]/[3760] Speed: 62.158869 samples/sec accuracy=43.646875 loss=2.445335 lr=0.096757 Epoch[070] Batch [2049]/[3760] Speed: 61.576805 samples/sec accuracy=43.630335 loss=2.445598 lr=0.096748 Epoch[070] Batch [2099]/[3760] Speed: 62.516571 samples/sec accuracy=43.614583 loss=2.445910 lr=0.096739 Epoch[070] Batch [2149]/[3760] Speed: 62.500776 samples/sec accuracy=43.592297 loss=2.447316 lr=0.096729 Epoch[070] Batch [2199]/[3760] Speed: 61.520973 samples/sec accuracy=43.605114 loss=2.447207 lr=0.096720 Epoch[070] Batch [2249]/[3760] Speed: 62.601309 samples/sec accuracy=43.595833 loss=2.447982 lr=0.096711 Epoch[070] 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accuracy=43.569886 loss=2.450496 lr=0.096618 Epoch[070] Batch [2799]/[3760] Speed: 61.928180 samples/sec accuracy=43.583147 loss=2.450266 lr=0.096609 Epoch[070] Batch [2849]/[3760] Speed: 61.974047 samples/sec accuracy=43.580044 loss=2.450028 lr=0.096600 Epoch[070] Batch [2899]/[3760] Speed: 61.725224 samples/sec accuracy=43.566810 loss=2.451513 lr=0.096590 Epoch[070] Batch [2949]/[3760] Speed: 62.181753 samples/sec accuracy=43.563030 loss=2.451949 lr=0.096581 Epoch[070] Batch [2999]/[3760] Speed: 61.770101 samples/sec accuracy=43.557812 loss=2.452308 lr=0.096572 Epoch[070] Batch [3049]/[3760] Speed: 61.922416 samples/sec accuracy=43.581967 loss=2.451263 lr=0.096563 Epoch[070] Batch [3099]/[3760] Speed: 61.866826 samples/sec accuracy=43.569052 loss=2.451230 lr=0.096553 Epoch[070] Batch [3149]/[3760] Speed: 61.928318 samples/sec accuracy=43.549107 loss=2.451821 lr=0.096544 Epoch[070] Batch [3199]/[3760] Speed: 61.628908 samples/sec accuracy=43.542480 loss=2.452116 lr=0.096535 Epoch[070] 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accuracy=43.505068 loss=2.455608 lr=0.096442 Epoch[070] Batch [3749]/[3760] Speed: 66.464573 samples/sec accuracy=43.502500 loss=2.455989 lr=0.096432 Batch [0049]/[0303]: acc-top1=40.218750 acc-top5=68.593750 Batch [0099]/[0303]: acc-top1=41.281250 acc-top5=69.000000 Batch [0149]/[0303]: acc-top1=41.281250 acc-top5=68.937500 Batch [0199]/[0303]: acc-top1=41.484375 acc-top5=69.257812 Batch [0249]/[0303]: acc-top1=41.381250 acc-top5=68.993750 Batch [0299]/[0303]: acc-top1=41.656250 acc-top5=69.203125 [Epoch 070] training: accuracy=43.512716 loss=2.455629 [Epoch 070] speed: 61 samples/sec time cost: 4216.476753 [Epoch 070] validation: acc-top1=41.615099 acc-top5=69.157384 loss=2.861575 Epoch[071] Batch [0049]/[3760] Speed: 41.095090 samples/sec accuracy=44.750000 loss=2.401321 lr=0.096421 Epoch[071] Batch [0099]/[3760] Speed: 59.448120 samples/sec accuracy=44.781250 loss=2.404733 lr=0.096412 Epoch[071] Batch [0149]/[3760] Speed: 61.445768 samples/sec accuracy=44.302083 loss=2.413078 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lr=0.095866 Epoch[071] Batch [3049]/[3760] Speed: 61.951547 samples/sec accuracy=43.659324 loss=2.451105 lr=0.095856 Epoch[071] Batch [3099]/[3760] Speed: 61.159696 samples/sec accuracy=43.647681 loss=2.450858 lr=0.095847 Epoch[071] Batch [3149]/[3760] Speed: 62.149919 samples/sec accuracy=43.643849 loss=2.450629 lr=0.095837 Epoch[071] Batch [3199]/[3760] Speed: 61.955482 samples/sec accuracy=43.635742 loss=2.450643 lr=0.095828 Epoch[071] Batch [3249]/[3760] Speed: 61.647246 samples/sec accuracy=43.628846 loss=2.451176 lr=0.095818 Epoch[071] Batch [3299]/[3760] Speed: 61.479762 samples/sec accuracy=43.625473 loss=2.451709 lr=0.095809 Epoch[071] Batch [3349]/[3760] Speed: 61.512237 samples/sec accuracy=43.623601 loss=2.451964 lr=0.095799 Epoch[071] Batch [3399]/[3760] Speed: 62.214444 samples/sec accuracy=43.657169 loss=2.450655 lr=0.095790 Epoch[071] Batch [3449]/[3760] Speed: 61.842378 samples/sec accuracy=43.662591 loss=2.450175 lr=0.095780 Epoch[071] Batch [3499]/[3760] Speed: 61.404629 samples/sec accuracy=43.666071 loss=2.449973 lr=0.095770 Epoch[071] Batch [3549]/[3760] Speed: 61.850938 samples/sec accuracy=43.660211 loss=2.450936 lr=0.095761 Epoch[071] Batch [3599]/[3760] Speed: 61.245199 samples/sec accuracy=43.646701 loss=2.451681 lr=0.095751 Epoch[071] Batch [3649]/[3760] Speed: 62.159915 samples/sec accuracy=43.649401 loss=2.451650 lr=0.095742 Epoch[071] Batch [3699]/[3760] Speed: 61.048043 samples/sec accuracy=43.641047 loss=2.452149 lr=0.095732 Epoch[071] Batch [3749]/[3760] Speed: 67.639196 samples/sec accuracy=43.636667 loss=2.453132 lr=0.095723 Batch [0049]/[0303]: acc-top1=43.468750 acc-top5=70.968750 Batch [0099]/[0303]: acc-top1=44.687500 acc-top5=72.031250 Batch [0149]/[0303]: acc-top1=44.218750 acc-top5=71.604167 Batch [0199]/[0303]: acc-top1=44.320312 acc-top5=71.515625 Batch [0249]/[0303]: acc-top1=44.137500 acc-top5=71.350000 Batch [0299]/[0303]: acc-top1=44.380208 acc-top5=71.723958 [Epoch 071] training: accuracy=43.638215 loss=2.453019 [Epoch 071] speed: 61 samples/sec time cost: 4222.840033 [Epoch 071] validation: acc-top1=44.312087 acc-top5=71.689356 loss=2.545010 Epoch[072] Batch [0049]/[3759] Speed: 41.106323 samples/sec accuracy=45.000000 loss=2.388176 lr=0.095711 Epoch[072] Batch [0099]/[3759] Speed: 59.714269 samples/sec accuracy=45.453125 loss=2.386902 lr=0.095702 Epoch[072] Batch [0149]/[3759] Speed: 60.647844 samples/sec accuracy=45.052083 loss=2.399539 lr=0.095692 Epoch[072] Batch [0199]/[3759] Speed: 60.170954 samples/sec accuracy=44.789062 loss=2.408830 lr=0.095683 Epoch[072] Batch [0249]/[3759] Speed: 61.411667 samples/sec accuracy=44.750000 loss=2.413423 lr=0.095673 Epoch[072] Batch [0299]/[3759] Speed: 60.459789 samples/sec accuracy=44.671875 loss=2.424356 lr=0.095664 Epoch[072] Batch [0349]/[3759] Speed: 62.426931 samples/sec accuracy=44.558036 loss=2.424366 lr=0.095654 Epoch[072] Batch [0399]/[3759] Speed: 60.584348 samples/sec accuracy=44.519531 loss=2.422150 lr=0.095645 Epoch[072] Batch 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accuracy=44.434028 loss=2.414363 lr=0.095549 Epoch[072] Batch [0949]/[3759] Speed: 61.129161 samples/sec accuracy=44.396382 loss=2.416993 lr=0.095539 Epoch[072] Batch [0999]/[3759] Speed: 62.005501 samples/sec accuracy=44.462500 loss=2.414878 lr=0.095530 Epoch[072] Batch [1049]/[3759] Speed: 61.814629 samples/sec accuracy=44.382440 loss=2.417997 lr=0.095520 Epoch[072] Batch [1099]/[3759] Speed: 61.945790 samples/sec accuracy=44.340909 loss=2.419870 lr=0.095510 Epoch[072] Batch [1149]/[3759] Speed: 61.315128 samples/sec accuracy=44.346467 loss=2.418797 lr=0.095501 Epoch[072] Batch [1199]/[3759] Speed: 62.458730 samples/sec accuracy=44.334635 loss=2.419179 lr=0.095491 Epoch[072] Batch [1249]/[3759] Speed: 61.621780 samples/sec accuracy=44.336250 loss=2.419070 lr=0.095482 Epoch[072] Batch [1299]/[3759] Speed: 61.998310 samples/sec accuracy=44.366587 loss=2.417689 lr=0.095472 Epoch[072] Batch [1349]/[3759] Speed: 62.030903 samples/sec accuracy=44.322917 loss=2.420261 lr=0.095462 Epoch[072] 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accuracy=44.148649 loss=2.427835 lr=0.095366 Epoch[072] Batch [1899]/[3759] Speed: 61.639699 samples/sec accuracy=44.148026 loss=2.427759 lr=0.095357 Epoch[072] Batch [1949]/[3759] Speed: 61.753875 samples/sec accuracy=44.146635 loss=2.428114 lr=0.095347 Epoch[072] Batch [1999]/[3759] Speed: 62.063956 samples/sec accuracy=44.129687 loss=2.429575 lr=0.095337 Epoch[072] Batch [2049]/[3759] Speed: 61.757253 samples/sec accuracy=44.083079 loss=2.431788 lr=0.095328 Epoch[072] Batch [2099]/[3759] Speed: 62.314384 samples/sec accuracy=44.092262 loss=2.431686 lr=0.095318 Epoch[072] Batch [2149]/[3759] Speed: 61.304713 samples/sec accuracy=44.090843 loss=2.431652 lr=0.095308 Epoch[072] Batch [2199]/[3759] Speed: 62.319789 samples/sec accuracy=44.053977 loss=2.433956 lr=0.095299 Epoch[072] Batch [2249]/[3759] Speed: 61.600530 samples/sec accuracy=44.026389 loss=2.434935 lr=0.095289 Epoch[072] Batch [2299]/[3759] Speed: 62.051297 samples/sec accuracy=44.002717 loss=2.435517 lr=0.095279 Epoch[072] 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accuracy=43.816406 loss=2.442261 lr=0.095183 Epoch[072] Batch [2849]/[3759] Speed: 62.033188 samples/sec accuracy=43.822368 loss=2.442210 lr=0.095173 Epoch[072] Batch [2899]/[3759] Speed: 61.817277 samples/sec accuracy=43.801724 loss=2.442966 lr=0.095163 Epoch[072] Batch [2949]/[3759] Speed: 61.847514 samples/sec accuracy=43.784428 loss=2.443585 lr=0.095154 Epoch[072] Batch [2999]/[3759] Speed: 61.493737 samples/sec accuracy=43.793750 loss=2.443255 lr=0.095144 Epoch[072] Batch [3049]/[3759] Speed: 62.314872 samples/sec accuracy=43.776127 loss=2.443083 lr=0.095134 Epoch[072] Batch [3099]/[3759] Speed: 62.130804 samples/sec accuracy=43.768145 loss=2.442986 lr=0.095124 Epoch[072] Batch [3149]/[3759] Speed: 61.554471 samples/sec accuracy=43.778274 loss=2.442834 lr=0.095115 Epoch[072] Batch [3199]/[3759] Speed: 62.093714 samples/sec accuracy=43.777832 loss=2.442909 lr=0.095105 Epoch[072] Batch [3249]/[3759] Speed: 61.655262 samples/sec accuracy=43.758654 loss=2.444224 lr=0.095095 Epoch[072] Batch [3299]/[3759] Speed: 62.074821 samples/sec accuracy=43.751894 loss=2.445114 lr=0.095086 Epoch[072] Batch [3349]/[3759] Speed: 62.476399 samples/sec accuracy=43.759795 loss=2.444381 lr=0.095076 Epoch[072] Batch [3399]/[3759] Speed: 61.614550 samples/sec accuracy=43.773438 loss=2.444409 lr=0.095066 Epoch[072] Batch [3449]/[3759] Speed: 62.435485 samples/sec accuracy=43.773551 loss=2.444647 lr=0.095056 Epoch[072] Batch [3499]/[3759] Speed: 61.581566 samples/sec accuracy=43.774107 loss=2.444324 lr=0.095047 Epoch[072] Batch [3549]/[3759] Speed: 61.996492 samples/sec accuracy=43.764965 loss=2.444123 lr=0.095037 Epoch[072] Batch [3599]/[3759] Speed: 62.018003 samples/sec accuracy=43.756076 loss=2.444496 lr=0.095027 Epoch[072] Batch [3649]/[3759] Speed: 61.704621 samples/sec accuracy=43.748288 loss=2.444956 lr=0.095018 Epoch[072] Batch [3699]/[3759] Speed: 61.755434 samples/sec accuracy=43.762247 loss=2.445121 lr=0.095008 Epoch[072] Batch [3749]/[3759] Speed: 66.889132 samples/sec accuracy=43.753750 loss=2.445810 lr=0.094998 Batch [0049]/[0303]: acc-top1=41.687500 acc-top5=68.656250 Batch [0099]/[0303]: acc-top1=42.562500 acc-top5=69.562500 Batch [0149]/[0303]: acc-top1=42.302083 acc-top5=69.364583 Batch [0199]/[0303]: acc-top1=42.531250 acc-top5=69.718750 Batch [0249]/[0303]: acc-top1=42.131250 acc-top5=69.587500 Batch [0299]/[0303]: acc-top1=42.395833 acc-top5=69.796875 [Epoch 072] training: accuracy=43.740440 loss=2.446223 [Epoch 072] speed: 61 samples/sec time cost: 4216.015107 [Epoch 072] validation: acc-top1=42.429868 acc-top5=69.827764 loss=2.738998 Epoch[073] Batch [0049]/[3760] Speed: 41.130597 samples/sec accuracy=44.875000 loss=2.413659 lr=0.094987 Epoch[073] Batch [0099]/[3760] Speed: 59.053916 samples/sec accuracy=44.937500 loss=2.401976 lr=0.094977 Epoch[073] Batch [0149]/[3760] Speed: 61.733825 samples/sec accuracy=45.208333 loss=2.388337 lr=0.094967 Epoch[073] Batch [0199]/[3760] Speed: 60.907536 samples/sec accuracy=44.968750 loss=2.401567 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acc-top5=70.570338 loss=2.701922 Epoch[074] Batch [0049]/[3760] Speed: 40.599695 samples/sec accuracy=43.843750 loss=2.400258 lr=0.094247 Epoch[074] Batch [0099]/[3760] Speed: 60.306114 samples/sec accuracy=43.968750 loss=2.397297 lr=0.094237 Epoch[074] Batch [0149]/[3760] Speed: 61.149953 samples/sec accuracy=44.239583 loss=2.398663 lr=0.094227 Epoch[074] Batch [0199]/[3760] Speed: 60.191675 samples/sec accuracy=44.375000 loss=2.394238 lr=0.094217 Epoch[074] Batch [0249]/[3760] Speed: 62.114192 samples/sec accuracy=44.018750 loss=2.403943 lr=0.094207 Epoch[074] Batch [0299]/[3760] Speed: 60.666421 samples/sec accuracy=44.192708 loss=2.403191 lr=0.094197 Epoch[074] Batch [0349]/[3760] Speed: 62.302592 samples/sec accuracy=44.058036 loss=2.408115 lr=0.094187 Epoch[074] Batch [0399]/[3760] Speed: 61.357801 samples/sec accuracy=43.964844 loss=2.413551 lr=0.094177 Epoch[074] Batch [0449]/[3760] Speed: 61.926103 samples/sec accuracy=43.923611 loss=2.415962 lr=0.094167 Epoch[074] Batch 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accuracy=44.174342 loss=2.416710 lr=0.094067 Epoch[074] Batch [0999]/[3760] Speed: 62.207220 samples/sec accuracy=44.212500 loss=2.415742 lr=0.094057 Epoch[074] Batch [1049]/[3760] Speed: 61.182562 samples/sec accuracy=44.241071 loss=2.413645 lr=0.094047 Epoch[074] Batch [1099]/[3760] Speed: 62.293291 samples/sec accuracy=44.241477 loss=2.412316 lr=0.094037 Epoch[074] Batch [1149]/[3760] Speed: 61.684138 samples/sec accuracy=44.239130 loss=2.413287 lr=0.094027 Epoch[074] Batch [1199]/[3760] Speed: 61.893281 samples/sec accuracy=44.226562 loss=2.413801 lr=0.094017 Epoch[074] Batch [1249]/[3760] Speed: 61.590791 samples/sec accuracy=44.198750 loss=2.415095 lr=0.094007 Epoch[074] Batch [1299]/[3760] Speed: 61.700925 samples/sec accuracy=44.213942 loss=2.414401 lr=0.093997 Epoch[074] Batch [1349]/[3760] Speed: 61.774220 samples/sec accuracy=44.218750 loss=2.413607 lr=0.093987 Epoch[074] Batch [1399]/[3760] Speed: 62.054335 samples/sec accuracy=44.253348 loss=2.413114 lr=0.093977 Epoch[074] 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accuracy=44.236020 loss=2.420009 lr=0.093877 Epoch[074] Batch [1949]/[3760] Speed: 61.915525 samples/sec accuracy=44.243590 loss=2.420807 lr=0.093867 Epoch[074] Batch [1999]/[3760] Speed: 61.605953 samples/sec accuracy=44.225000 loss=2.422238 lr=0.093857 Epoch[074] Batch [2049]/[3760] Speed: 61.586576 samples/sec accuracy=44.217226 loss=2.423203 lr=0.093847 Epoch[074] Batch [2099]/[3760] Speed: 62.231772 samples/sec accuracy=44.194196 loss=2.424704 lr=0.093837 Epoch[074] Batch [2149]/[3760] Speed: 61.729215 samples/sec accuracy=44.201308 loss=2.425699 lr=0.093827 Epoch[074] Batch [2199]/[3760] Speed: 61.674388 samples/sec accuracy=44.208807 loss=2.425341 lr=0.093817 Epoch[074] Batch [2249]/[3760] Speed: 61.685125 samples/sec accuracy=44.210417 loss=2.425358 lr=0.093807 Epoch[074] Batch [2299]/[3760] Speed: 61.597974 samples/sec accuracy=44.164402 loss=2.426810 lr=0.093797 Epoch[074] Batch [2349]/[3760] Speed: 62.032617 samples/sec accuracy=44.138963 loss=2.427796 lr=0.093787 Epoch[074] 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accuracy=44.192434 loss=2.426904 lr=0.093686 Epoch[074] Batch [2899]/[3760] Speed: 62.302677 samples/sec accuracy=44.193966 loss=2.428183 lr=0.093676 Epoch[074] Batch [2949]/[3760] Speed: 61.402647 samples/sec accuracy=44.203919 loss=2.427232 lr=0.093666 Epoch[074] Batch [2999]/[3760] Speed: 62.218472 samples/sec accuracy=44.208854 loss=2.426912 lr=0.093656 Epoch[074] Batch [3049]/[3760] Speed: 60.953080 samples/sec accuracy=44.184426 loss=2.428230 lr=0.093646 Epoch[074] Batch [3099]/[3760] Speed: 62.313795 samples/sec accuracy=44.193548 loss=2.428351 lr=0.093635 Epoch[074] Batch [3149]/[3760] Speed: 61.918318 samples/sec accuracy=44.199901 loss=2.427976 lr=0.093625 Epoch[074] Batch [3199]/[3760] Speed: 61.643857 samples/sec accuracy=44.189453 loss=2.427955 lr=0.093615 Epoch[074] Batch [3249]/[3760] Speed: 62.322376 samples/sec accuracy=44.174519 loss=2.428202 lr=0.093605 Epoch[074] Batch [3299]/[3760] Speed: 61.641219 samples/sec accuracy=44.155303 loss=2.428833 lr=0.093595 Epoch[074] Batch [3349]/[3760] Speed: 61.907506 samples/sec accuracy=44.120336 loss=2.430444 lr=0.093585 Epoch[074] Batch [3399]/[3760] Speed: 61.654528 samples/sec accuracy=44.110294 loss=2.430953 lr=0.093575 Epoch[074] Batch [3449]/[3760] Speed: 61.551431 samples/sec accuracy=44.069746 loss=2.432120 lr=0.093565 Epoch[074] Batch [3499]/[3760] Speed: 61.689076 samples/sec accuracy=44.053125 loss=2.433087 lr=0.093555 Epoch[074] Batch [3549]/[3760] Speed: 61.833671 samples/sec accuracy=44.071303 loss=2.432859 lr=0.093545 Epoch[074] Batch [3599]/[3760] Speed: 61.234926 samples/sec accuracy=44.094618 loss=2.432041 lr=0.093534 Epoch[074] Batch [3649]/[3760] Speed: 62.342287 samples/sec accuracy=44.102312 loss=2.431812 lr=0.093524 Epoch[074] Batch [3699]/[3760] Speed: 61.272962 samples/sec accuracy=44.093328 loss=2.432429 lr=0.093514 Epoch[074] Batch [3749]/[3760] Speed: 67.022750 samples/sec accuracy=44.109167 loss=2.431517 lr=0.093504 Batch [0049]/[0303]: acc-top1=41.750000 acc-top5=68.843750 Batch [0099]/[0303]: acc-top1=42.453125 acc-top5=69.625000 Batch [0149]/[0303]: acc-top1=42.427083 acc-top5=69.687500 Batch [0199]/[0303]: acc-top1=42.835938 acc-top5=69.914062 Batch [0249]/[0303]: acc-top1=42.556250 acc-top5=69.568750 Batch [0299]/[0303]: acc-top1=42.973958 acc-top5=69.916667 [Epoch 074] training: accuracy=44.102394 loss=2.431516 [Epoch 074] speed: 61 samples/sec time cost: 4220.840618 [Epoch 074] validation: acc-top1=42.919761 acc-top5=69.874175 loss=2.941117 Epoch[075] Batch [0049]/[3759] Speed: 40.813862 samples/sec accuracy=45.406250 loss=2.342731 lr=0.093492 Epoch[075] Batch [0099]/[3759] Speed: 59.600754 samples/sec accuracy=44.500000 loss=2.389676 lr=0.093482 Epoch[075] Batch [0149]/[3759] Speed: 60.722854 samples/sec accuracy=44.479167 loss=2.409331 lr=0.093472 Epoch[075] Batch [0199]/[3759] Speed: 59.823538 samples/sec accuracy=44.765625 loss=2.393203 lr=0.093461 Epoch[075] Batch [0249]/[3759] Speed: 61.697148 samples/sec accuracy=44.675000 loss=2.402873 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accuracy=43.125000 loss=2.449638 lr=0.092723 Epoch[076] Batch [0099]/[3760] Speed: 59.833091 samples/sec accuracy=43.343750 loss=2.451401 lr=0.092712 Epoch[076] Batch [0149]/[3760] Speed: 61.825788 samples/sec accuracy=43.666667 loss=2.431320 lr=0.092702 Epoch[076] Batch [0199]/[3760] Speed: 60.802560 samples/sec accuracy=44.093750 loss=2.411978 lr=0.092692 Epoch[076] Batch [0249]/[3760] Speed: 62.058060 samples/sec accuracy=44.275000 loss=2.403993 lr=0.092681 Epoch[076] Batch [0299]/[3760] Speed: 61.240093 samples/sec accuracy=44.229167 loss=2.405386 lr=0.092671 Epoch[076] Batch [0349]/[3760] Speed: 61.733931 samples/sec accuracy=44.160714 loss=2.401368 lr=0.092661 Epoch[076] Batch [0399]/[3760] Speed: 61.268219 samples/sec accuracy=44.210938 loss=2.402151 lr=0.092650 Epoch[076] Batch [0449]/[3760] Speed: 62.491218 samples/sec accuracy=44.159722 loss=2.404526 lr=0.092640 Epoch[076] Batch [0499]/[3760] Speed: 61.092034 samples/sec accuracy=44.050000 loss=2.407939 lr=0.092630 Epoch[076] 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accuracy=44.184375 loss=2.405512 lr=0.092526 Epoch[076] Batch [1049]/[3760] Speed: 62.013132 samples/sec accuracy=44.247024 loss=2.403168 lr=0.092516 Epoch[076] Batch [1099]/[3760] Speed: 62.131548 samples/sec accuracy=44.319602 loss=2.399128 lr=0.092505 Epoch[076] Batch [1149]/[3760] Speed: 61.891138 samples/sec accuracy=44.377717 loss=2.398989 lr=0.092495 Epoch[076] Batch [1199]/[3760] Speed: 61.996739 samples/sec accuracy=44.341146 loss=2.402670 lr=0.092485 Epoch[076] Batch [1249]/[3760] Speed: 60.933416 samples/sec accuracy=44.271250 loss=2.404121 lr=0.092474 Epoch[076] Batch [1299]/[3760] Speed: 62.486487 samples/sec accuracy=44.272837 loss=2.404627 lr=0.092464 Epoch[076] Batch [1349]/[3760] Speed: 61.699040 samples/sec accuracy=44.266204 loss=2.404473 lr=0.092454 Epoch[076] Batch [1399]/[3760] Speed: 61.623373 samples/sec accuracy=44.239955 loss=2.407341 lr=0.092443 Epoch[076] Batch [1449]/[3760] Speed: 62.385575 samples/sec accuracy=44.225216 loss=2.408801 lr=0.092433 Epoch[076] 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accuracy=44.044071 loss=2.417657 lr=0.092329 Epoch[076] Batch [1999]/[3760] Speed: 62.146376 samples/sec accuracy=44.042969 loss=2.417632 lr=0.092318 Epoch[076] Batch [2049]/[3760] Speed: 61.229795 samples/sec accuracy=44.039634 loss=2.417701 lr=0.092308 Epoch[076] Batch [2099]/[3760] Speed: 62.281163 samples/sec accuracy=44.017113 loss=2.419577 lr=0.092297 Epoch[076] Batch [2149]/[3760] Speed: 61.015151 samples/sec accuracy=44.003634 loss=2.419396 lr=0.092287 Epoch[076] Batch [2199]/[3760] Speed: 62.644454 samples/sec accuracy=44.032670 loss=2.417559 lr=0.092277 Epoch[076] Batch [2249]/[3760] Speed: 61.690172 samples/sec accuracy=43.985417 loss=2.418932 lr=0.092266 Epoch[076] Batch [2299]/[3760] Speed: 61.819837 samples/sec accuracy=43.996603 loss=2.419308 lr=0.092256 Epoch[076] Batch [2349]/[3760] Speed: 62.362288 samples/sec accuracy=43.996676 loss=2.418769 lr=0.092245 Epoch[076] Batch [2399]/[3760] Speed: 60.922807 samples/sec accuracy=43.974609 loss=2.419390 lr=0.092235 Epoch[076] 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accuracy=43.988147 loss=2.423165 lr=0.092130 Epoch[076] Batch [2949]/[3760] Speed: 62.028994 samples/sec accuracy=44.000000 loss=2.422893 lr=0.092120 Epoch[076] Batch [2999]/[3760] Speed: 61.794846 samples/sec accuracy=43.988542 loss=2.424650 lr=0.092109 Epoch[076] Batch [3049]/[3760] Speed: 61.115815 samples/sec accuracy=43.966189 loss=2.425030 lr=0.092099 Epoch[076] Batch [3099]/[3760] Speed: 62.431255 samples/sec accuracy=43.954133 loss=2.425618 lr=0.092088 Epoch[076] Batch [3149]/[3760] Speed: 62.179777 samples/sec accuracy=43.960813 loss=2.425482 lr=0.092078 Epoch[076] Batch [3199]/[3760] Speed: 61.945828 samples/sec accuracy=43.950684 loss=2.426020 lr=0.092067 Epoch[076] Batch [3249]/[3760] Speed: 61.474002 samples/sec accuracy=43.952885 loss=2.425887 lr=0.092057 Epoch[076] Batch [3299]/[3760] Speed: 61.770915 samples/sec accuracy=43.962121 loss=2.425721 lr=0.092046 Epoch[076] Batch [3349]/[3760] Speed: 62.204566 samples/sec accuracy=43.979944 loss=2.425604 lr=0.092036 Epoch[076] Batch [3399]/[3760] Speed: 62.055505 samples/sec accuracy=43.969210 loss=2.426067 lr=0.092025 Epoch[076] Batch [3449]/[3760] Speed: 61.718920 samples/sec accuracy=43.958786 loss=2.426018 lr=0.092015 Epoch[076] Batch [3499]/[3760] Speed: 61.972274 samples/sec accuracy=43.916071 loss=2.427701 lr=0.092004 Epoch[076] Batch [3549]/[3760] Speed: 61.573696 samples/sec accuracy=43.914173 loss=2.427503 lr=0.091994 Epoch[076] Batch [3599]/[3760] Speed: 61.996776 samples/sec accuracy=43.927517 loss=2.426829 lr=0.091983 Epoch[076] Batch [3649]/[3760] Speed: 61.484403 samples/sec accuracy=43.933219 loss=2.426264 lr=0.091973 Epoch[076] Batch [3699]/[3760] Speed: 61.778364 samples/sec accuracy=43.939611 loss=2.425806 lr=0.091962 Epoch[076] Batch [3749]/[3760] Speed: 66.719118 samples/sec accuracy=43.941667 loss=2.426487 lr=0.091952 Batch [0049]/[0303]: acc-top1=43.281250 acc-top5=71.406250 Batch [0099]/[0303]: acc-top1=44.125000 acc-top5=72.015625 Batch [0149]/[0303]: acc-top1=44.072917 acc-top5=71.802083 Batch [0199]/[0303]: acc-top1=44.539062 acc-top5=71.929688 Batch [0249]/[0303]: acc-top1=44.275000 acc-top5=71.531250 Batch [0299]/[0303]: acc-top1=44.453125 acc-top5=71.937500 [Epoch 076] training: accuracy=43.949468 loss=2.426333 [Epoch 076] speed: 61 samples/sec time cost: 4210.760469 [Epoch 076] validation: acc-top1=44.471947 acc-top5=71.890470 loss=2.793527 Epoch[077] Batch [0049]/[3760] Speed: 40.607565 samples/sec accuracy=45.781250 loss=2.352187 lr=0.091939 Epoch[077] Batch [0099]/[3760] Speed: 60.573667 samples/sec accuracy=44.968750 loss=2.371325 lr=0.091929 Epoch[077] Batch [0149]/[3760] Speed: 61.270265 samples/sec accuracy=44.833333 loss=2.371113 lr=0.091918 Epoch[077] Batch [0199]/[3760] Speed: 60.600225 samples/sec accuracy=45.015625 loss=2.370019 lr=0.091908 Epoch[077] Batch [0249]/[3760] Speed: 61.826707 samples/sec accuracy=44.925000 loss=2.371238 lr=0.091897 Epoch[077] Batch [0299]/[3760] Speed: 61.177220 samples/sec accuracy=44.973958 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accuracy=44.375000 loss=2.412399 lr=0.091283 Epoch[077] Batch [3199]/[3760] Speed: 61.263441 samples/sec accuracy=44.353516 loss=2.413194 lr=0.091272 Epoch[077] Batch [3249]/[3760] Speed: 62.356176 samples/sec accuracy=44.375000 loss=2.412387 lr=0.091262 Epoch[077] Batch [3299]/[3760] Speed: 61.531783 samples/sec accuracy=44.371686 loss=2.412131 lr=0.091251 Epoch[077] Batch [3349]/[3760] Speed: 62.081301 samples/sec accuracy=44.361007 loss=2.412392 lr=0.091240 Epoch[077] Batch [3399]/[3760] Speed: 61.521974 samples/sec accuracy=44.366268 loss=2.412872 lr=0.091230 Epoch[077] Batch [3449]/[3760] Speed: 61.614039 samples/sec accuracy=44.375453 loss=2.412848 lr=0.091219 Epoch[077] Batch [3499]/[3760] Speed: 61.617172 samples/sec accuracy=44.379018 loss=2.413101 lr=0.091208 Epoch[077] Batch [3549]/[3760] Speed: 62.120604 samples/sec accuracy=44.390405 loss=2.412580 lr=0.091198 Epoch[077] Batch [3599]/[3760] Speed: 61.098438 samples/sec accuracy=44.396267 loss=2.412717 lr=0.091187 Epoch[077] Batch [3649]/[3760] Speed: 62.031478 samples/sec accuracy=44.395976 loss=2.412621 lr=0.091176 Epoch[077] Batch [3699]/[3760] Speed: 61.509713 samples/sec accuracy=44.385980 loss=2.412994 lr=0.091166 Epoch[077] Batch [3749]/[3760] Speed: 66.724530 samples/sec accuracy=44.387500 loss=2.412880 lr=0.091155 Batch [0049]/[0303]: acc-top1=44.062500 acc-top5=70.875000 Batch [0099]/[0303]: acc-top1=44.843750 acc-top5=71.234375 Batch [0149]/[0303]: acc-top1=44.270833 acc-top5=70.875000 Batch [0199]/[0303]: acc-top1=44.562500 acc-top5=70.921875 Batch [0249]/[0303]: acc-top1=44.081250 acc-top5=71.012500 Batch [0299]/[0303]: acc-top1=44.270833 acc-top5=71.109375 [Epoch 077] training: accuracy=44.387051 loss=2.412715 [Epoch 077] speed: 61 samples/sec time cost: 4216.812247 [Epoch 077] validation: acc-top1=44.255363 acc-top5=71.080858 loss=2.780870 Epoch[078] Batch [0049]/[3759] Speed: 40.425739 samples/sec accuracy=45.031250 loss=2.376214 lr=0.091142 Epoch[078] Batch [0099]/[3759] Speed: 59.655394 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lr=0.090626 Epoch[078] Batch [2499]/[3759] Speed: 61.660943 samples/sec accuracy=44.630625 loss=2.402173 lr=0.090615 Epoch[078] Batch [2549]/[3759] Speed: 61.605356 samples/sec accuracy=44.632353 loss=2.402539 lr=0.090604 Epoch[078] Batch [2599]/[3759] Speed: 62.001980 samples/sec accuracy=44.587139 loss=2.404000 lr=0.090594 Epoch[078] Batch [2649]/[3759] Speed: 62.138149 samples/sec accuracy=44.579009 loss=2.403897 lr=0.090583 Epoch[078] Batch [2699]/[3759] Speed: 61.716024 samples/sec accuracy=44.549769 loss=2.405060 lr=0.090572 Epoch[078] Batch [2749]/[3759] Speed: 62.148446 samples/sec accuracy=44.573295 loss=2.404586 lr=0.090561 Epoch[078] Batch [2799]/[3759] Speed: 61.987525 samples/sec accuracy=44.564174 loss=2.405152 lr=0.090550 Epoch[078] Batch [2849]/[3759] Speed: 61.760515 samples/sec accuracy=44.577851 loss=2.404641 lr=0.090539 Epoch[078] Batch [2899]/[3759] Speed: 61.637770 samples/sec accuracy=44.565733 loss=2.405353 lr=0.090529 Epoch[078] Batch [2949]/[3759] Speed: 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lr=0.090420 Epoch[078] Batch [3449]/[3759] Speed: 61.852574 samples/sec accuracy=44.550725 loss=2.407027 lr=0.090409 Epoch[078] Batch [3499]/[3759] Speed: 61.547070 samples/sec accuracy=44.538393 loss=2.407537 lr=0.090398 Epoch[078] Batch [3549]/[3759] Speed: 62.082679 samples/sec accuracy=44.526849 loss=2.407821 lr=0.090388 Epoch[078] Batch [3599]/[3759] Speed: 60.999594 samples/sec accuracy=44.518229 loss=2.408335 lr=0.090377 Epoch[078] Batch [3649]/[3759] Speed: 62.479477 samples/sec accuracy=44.518408 loss=2.408246 lr=0.090366 Epoch[078] Batch [3699]/[3759] Speed: 62.203256 samples/sec accuracy=44.522804 loss=2.408164 lr=0.090355 Epoch[078] Batch [3749]/[3759] Speed: 66.119452 samples/sec accuracy=44.497500 loss=2.408734 lr=0.090344 Batch [0049]/[0303]: acc-top1=41.093750 acc-top5=68.312500 Batch [0099]/[0303]: acc-top1=42.218750 acc-top5=69.734375 Batch [0149]/[0303]: acc-top1=42.166667 acc-top5=69.489583 Batch [0199]/[0303]: acc-top1=42.250000 acc-top5=69.914062 Batch [0249]/[0303]: acc-top1=42.187500 acc-top5=69.850000 Batch [0299]/[0303]: acc-top1=42.395833 acc-top5=70.041667 [Epoch 078] training: accuracy=44.490307 loss=2.409108 [Epoch 078] speed: 61 samples/sec time cost: 4216.343858 [Epoch 078] validation: acc-top1=42.373144 acc-top5=70.023721 loss=2.869261 Epoch[079] Batch [0049]/[3760] Speed: 40.854718 samples/sec accuracy=44.875000 loss=2.351800 lr=0.090331 Epoch[079] Batch [0099]/[3760] Speed: 60.188231 samples/sec accuracy=44.234375 loss=2.388825 lr=0.090320 Epoch[079] Batch [0149]/[3760] Speed: 60.996718 samples/sec accuracy=44.406250 loss=2.389172 lr=0.090310 Epoch[079] Batch [0199]/[3760] Speed: 61.064289 samples/sec accuracy=44.835938 loss=2.374367 lr=0.090299 Epoch[079] Batch [0249]/[3760] Speed: 61.102179 samples/sec accuracy=44.793750 loss=2.378436 lr=0.090288 Epoch[079] Batch [0299]/[3760] Speed: 61.460677 samples/sec accuracy=44.703125 loss=2.385075 lr=0.090277 Epoch[079] Batch [0349]/[3760] Speed: 62.173270 samples/sec 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accuracy=44.646635 loss=2.384226 lr=0.090059 Epoch[079] Batch [1349]/[3760] Speed: 62.097220 samples/sec accuracy=44.625000 loss=2.386325 lr=0.090048 Epoch[079] Batch [1399]/[3760] Speed: 62.162137 samples/sec accuracy=44.636161 loss=2.385163 lr=0.090037 Epoch[079] Batch [1449]/[3760] Speed: 61.832790 samples/sec accuracy=44.587284 loss=2.387634 lr=0.090026 Epoch[079] Batch [1499]/[3760] Speed: 61.651571 samples/sec accuracy=44.633333 loss=2.385632 lr=0.090015 Epoch[079] Batch [1549]/[3760] Speed: 62.144426 samples/sec accuracy=44.629032 loss=2.385264 lr=0.090004 Epoch[079] Batch [1599]/[3760] Speed: 61.768581 samples/sec accuracy=44.647461 loss=2.385318 lr=0.089993 Epoch[079] Batch [1649]/[3760] Speed: 62.198370 samples/sec accuracy=44.588068 loss=2.387964 lr=0.089982 Epoch[079] Batch [1699]/[3760] Speed: 61.754311 samples/sec accuracy=44.606618 loss=2.387836 lr=0.089971 Epoch[079] Batch [1749]/[3760] Speed: 62.060032 samples/sec accuracy=44.600893 loss=2.389521 lr=0.089960 Epoch[079] 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accuracy=44.708333 loss=2.389572 lr=0.089851 Epoch[079] Batch [2299]/[3760] Speed: 62.274575 samples/sec accuracy=44.656929 loss=2.391665 lr=0.089840 Epoch[079] Batch [2349]/[3760] Speed: 61.875674 samples/sec accuracy=44.634973 loss=2.392907 lr=0.089829 Epoch[079] Batch [2399]/[3760] Speed: 61.937194 samples/sec accuracy=44.610677 loss=2.393433 lr=0.089818 Epoch[079] Batch [2449]/[3760] Speed: 61.922025 samples/sec accuracy=44.596939 loss=2.394653 lr=0.089807 Epoch[079] Batch [2499]/[3760] Speed: 61.696396 samples/sec accuracy=44.600000 loss=2.394928 lr=0.089796 Epoch[079] Batch [2549]/[3760] Speed: 62.577973 samples/sec accuracy=44.624387 loss=2.394431 lr=0.089785 Epoch[079] Batch [2599]/[3760] Speed: 61.802099 samples/sec accuracy=44.603966 loss=2.395370 lr=0.089774 Epoch[079] Batch [2649]/[3760] Speed: 62.197024 samples/sec accuracy=44.594340 loss=2.395441 lr=0.089763 Epoch[079] Batch [2699]/[3760] Speed: 61.735697 samples/sec accuracy=44.572338 loss=2.397069 lr=0.089752 Epoch[079] Batch [2749]/[3760] Speed: 62.052158 samples/sec accuracy=44.531250 loss=2.398029 lr=0.089741 Epoch[079] Batch [2799]/[3760] Speed: 61.445640 samples/sec accuracy=44.530134 loss=2.398680 lr=0.089730 Epoch[079] Batch [2849]/[3760] Speed: 62.040508 samples/sec accuracy=44.540570 loss=2.398702 lr=0.089719 Epoch[079] Batch [2899]/[3760] Speed: 61.768958 samples/sec accuracy=44.552802 loss=2.398112 lr=0.089708 Epoch[079] Batch [2949]/[3760] Speed: 62.041946 samples/sec accuracy=44.531250 loss=2.398729 lr=0.089697 Epoch[079] Batch [2999]/[3760] Speed: 61.682200 samples/sec accuracy=44.525000 loss=2.399269 lr=0.089686 Epoch[079] Batch [3049]/[3760] Speed: 61.473783 samples/sec accuracy=44.539959 loss=2.397967 lr=0.089675 Epoch[079] Batch [3099]/[3760] Speed: 61.781232 samples/sec accuracy=44.522681 loss=2.398490 lr=0.089664 Epoch[079] Batch [3149]/[3760] Speed: 62.081387 samples/sec accuracy=44.497024 loss=2.399806 lr=0.089653 Epoch[079] Batch [3199]/[3760] Speed: 61.570419 samples/sec accuracy=44.486328 loss=2.400689 lr=0.089642 Epoch[079] Batch [3249]/[3760] Speed: 61.963768 samples/sec accuracy=44.470192 loss=2.401775 lr=0.089631 Epoch[079] Batch [3299]/[3760] Speed: 61.465111 samples/sec accuracy=44.438920 loss=2.403072 lr=0.089620 Epoch[079] Batch [3349]/[3760] Speed: 61.980714 samples/sec accuracy=44.425373 loss=2.404119 lr=0.089609 Epoch[079] Batch [3399]/[3760] Speed: 62.191354 samples/sec accuracy=44.424173 loss=2.404553 lr=0.089598 Epoch[079] Batch [3449]/[3760] Speed: 61.914901 samples/sec accuracy=44.427536 loss=2.404850 lr=0.089587 Epoch[079] Batch [3499]/[3760] Speed: 61.859126 samples/sec accuracy=44.437946 loss=2.404302 lr=0.089576 Epoch[079] Batch [3549]/[3760] Speed: 62.107405 samples/sec accuracy=44.422095 loss=2.405213 lr=0.089564 Epoch[079] Batch [3599]/[3760] Speed: 61.173067 samples/sec accuracy=44.421875 loss=2.405151 lr=0.089553 Epoch[079] Batch [3649]/[3760] Speed: 62.114151 samples/sec accuracy=44.420805 loss=2.405491 lr=0.089542 Epoch[079] Batch [3699]/[3760] Speed: 61.693483 samples/sec accuracy=44.428632 loss=2.405603 lr=0.089531 Epoch[079] Batch [3749]/[3760] Speed: 67.544383 samples/sec accuracy=44.419583 loss=2.406339 lr=0.089520 Batch [0049]/[0303]: acc-top1=42.593750 acc-top5=69.593750 Batch [0099]/[0303]: acc-top1=43.765625 acc-top5=70.437500 Batch [0149]/[0303]: acc-top1=43.687500 acc-top5=70.885417 Batch [0199]/[0303]: acc-top1=44.023438 acc-top5=71.031250 Batch [0249]/[0303]: acc-top1=43.800000 acc-top5=70.937500 Batch [0299]/[0303]: acc-top1=44.088542 acc-top5=71.260417 [Epoch 079] training: accuracy=44.422374 loss=2.406194 [Epoch 079] speed: 61 samples/sec time cost: 4212.725632 [Epoch 079] validation: acc-top1=44.074876 acc-top5=71.225248 loss=2.698336 Epoch[080] Batch [0049]/[3760] Speed: 41.183967 samples/sec accuracy=46.625000 loss=2.346426 lr=0.089507 Epoch[080] Batch [0099]/[3760] Speed: 60.161770 samples/sec accuracy=45.515625 loss=2.353935 lr=0.089496 Epoch[080] Batch [0149]/[3760] Speed: 61.867683 samples/sec accuracy=45.572917 loss=2.346383 lr=0.089485 Epoch[080] Batch [0199]/[3760] Speed: 60.151072 samples/sec accuracy=45.046875 loss=2.367876 lr=0.089474 Epoch[080] Batch [0249]/[3760] Speed: 62.181497 samples/sec accuracy=44.918750 loss=2.368623 lr=0.089463 Epoch[080] Batch [0299]/[3760] Speed: 61.063695 samples/sec accuracy=45.067708 loss=2.357127 lr=0.089452 Epoch[080] Batch [0349]/[3760] Speed: 61.973069 samples/sec accuracy=45.169643 loss=2.355804 lr=0.089441 Epoch[080] Batch [0399]/[3760] Speed: 61.350038 samples/sec accuracy=45.140625 loss=2.355511 lr=0.089430 Epoch[080] Batch [0449]/[3760] Speed: 62.330654 samples/sec accuracy=45.038194 loss=2.360980 lr=0.089419 Epoch[080] Batch [0499]/[3760] Speed: 61.370959 samples/sec accuracy=45.103125 loss=2.357443 lr=0.089408 Epoch[080] Batch [0549]/[3760] Speed: 62.079426 samples/sec accuracy=45.127841 loss=2.361260 lr=0.089396 Epoch[080] Batch [0599]/[3760] Speed: 60.736916 samples/sec accuracy=45.080729 loss=2.364878 lr=0.089385 Epoch[080] Batch [0649]/[3760] Speed: 62.854013 samples/sec accuracy=45.141827 loss=2.361009 lr=0.089374 Epoch[080] Batch [0699]/[3760] Speed: 61.335272 samples/sec accuracy=45.060268 loss=2.362486 lr=0.089363 Epoch[080] Batch [0749]/[3760] Speed: 61.522286 samples/sec accuracy=45.252083 loss=2.357689 lr=0.089352 Epoch[080] Batch [0799]/[3760] Speed: 61.824025 samples/sec accuracy=45.226562 loss=2.361294 lr=0.089341 Epoch[080] Batch [0849]/[3760] Speed: 61.821311 samples/sec accuracy=45.196691 loss=2.361611 lr=0.089330 Epoch[080] Batch [0899]/[3760] Speed: 61.932104 samples/sec accuracy=45.185764 loss=2.361136 lr=0.089319 Epoch[080] Batch [0949]/[3760] Speed: 62.197712 samples/sec accuracy=45.169408 loss=2.363442 lr=0.089308 Epoch[080] Batch [0999]/[3760] Speed: 61.662522 samples/sec accuracy=45.143750 loss=2.364583 lr=0.089297 Epoch[080] Batch [1049]/[3760] Speed: 62.393797 samples/sec accuracy=45.157738 loss=2.364172 lr=0.089286 Epoch[080] Batch [1099]/[3760] Speed: 62.381203 samples/sec accuracy=45.134943 loss=2.366684 lr=0.089275 Epoch[080] Batch [1149]/[3760] Speed: 61.828353 samples/sec accuracy=45.105978 loss=2.369464 lr=0.089263 Epoch[080] Batch [1199]/[3760] Speed: 62.196499 samples/sec accuracy=45.148438 loss=2.369624 lr=0.089252 Epoch[080] Batch [1249]/[3760] Speed: 62.114102 samples/sec accuracy=45.127500 loss=2.369735 lr=0.089241 Epoch[080] Batch [1299]/[3760] Speed: 61.589520 samples/sec accuracy=45.098558 loss=2.369688 lr=0.089230 Epoch[080] Batch [1349]/[3760] Speed: 62.040248 samples/sec accuracy=45.081019 loss=2.370480 lr=0.089219 Epoch[080] Batch [1399]/[3760] Speed: 60.692956 samples/sec accuracy=45.079241 loss=2.371564 lr=0.089208 Epoch[080] Batch [1449]/[3760] Speed: 62.073221 samples/sec accuracy=45.054957 loss=2.371183 lr=0.089197 Epoch[080] Batch [1499]/[3760] Speed: 61.279422 samples/sec accuracy=45.012500 loss=2.372472 lr=0.089186 Epoch[080] Batch [1549]/[3760] Speed: 62.171506 samples/sec accuracy=44.965726 loss=2.373539 lr=0.089175 Epoch[080] Batch [1599]/[3760] Speed: 61.371434 samples/sec accuracy=44.978516 loss=2.373799 lr=0.089164 Epoch[080] Batch [1649]/[3760] Speed: 62.326261 samples/sec accuracy=44.955492 loss=2.376979 lr=0.089152 Epoch[080] Batch [1699]/[3760] Speed: 61.351651 samples/sec accuracy=44.918199 loss=2.378229 lr=0.089141 Epoch[080] Batch [1749]/[3760] Speed: 62.201734 samples/sec accuracy=44.958929 loss=2.377745 lr=0.089130 Epoch[080] Batch [1799]/[3760] Speed: 60.613920 samples/sec accuracy=44.945312 loss=2.377901 lr=0.089119 Epoch[080] Batch [1849]/[3760] Speed: 63.074887 samples/sec accuracy=44.949324 loss=2.377763 lr=0.089108 Epoch[080] Batch [1899]/[3760] Speed: 60.978109 samples/sec accuracy=44.909539 loss=2.379306 lr=0.089097 Epoch[080] Batch [1949]/[3760] Speed: 62.140722 samples/sec accuracy=44.884615 loss=2.380333 lr=0.089086 Epoch[080] Batch [1999]/[3760] Speed: 61.942727 samples/sec accuracy=44.866406 loss=2.381214 lr=0.089074 Epoch[080] Batch [2049]/[3760] Speed: 62.413517 samples/sec accuracy=44.868902 loss=2.380788 lr=0.089063 Epoch[080] Batch [2099]/[3760] Speed: 61.627988 samples/sec accuracy=44.865327 loss=2.381206 lr=0.089052 Epoch[080] Batch [2149]/[3760] Speed: 62.079489 samples/sec accuracy=44.879360 loss=2.381069 lr=0.089041 Epoch[080] Batch [2199]/[3760] Speed: 62.157323 samples/sec accuracy=44.871449 loss=2.381827 lr=0.089030 Epoch[080] Batch [2249]/[3760] Speed: 61.550453 samples/sec accuracy=44.834722 loss=2.382427 lr=0.089019 Epoch[080] Batch [2299]/[3760] Speed: 61.778176 samples/sec accuracy=44.841033 loss=2.382985 lr=0.089008 Epoch[080] Batch [2349]/[3760] Speed: 61.752354 samples/sec accuracy=44.826463 loss=2.383704 lr=0.088996 Epoch[080] Batch [2399]/[3760] Speed: 61.945041 samples/sec accuracy=44.825521 loss=2.384884 lr=0.088985 Epoch[080] Batch [2449]/[3760] Speed: 62.107926 samples/sec accuracy=44.801658 loss=2.385327 lr=0.088974 Epoch[080] Batch [2499]/[3760] Speed: 61.410595 samples/sec accuracy=44.773125 loss=2.386047 lr=0.088963 Epoch[080] Batch [2549]/[3760] Speed: 62.312935 samples/sec accuracy=44.753064 loss=2.386813 lr=0.088952 Epoch[080] Batch [2599]/[3760] Speed: 61.287963 samples/sec accuracy=44.714543 loss=2.388052 lr=0.088941 Epoch[080] Batch [2649]/[3760] Speed: 61.969481 samples/sec accuracy=44.706368 loss=2.388373 lr=0.088930 Epoch[080] Batch [2699]/[3760] Speed: 61.967779 samples/sec accuracy=44.691551 loss=2.389272 lr=0.088918 Epoch[080] Batch [2749]/[3760] Speed: 61.092635 samples/sec accuracy=44.703977 loss=2.388984 lr=0.088907 Epoch[080] Batch [2799]/[3760] Speed: 62.458602 samples/sec accuracy=44.701451 loss=2.388468 lr=0.088896 Epoch[080] Batch [2849]/[3760] Speed: 62.037670 samples/sec accuracy=44.700658 loss=2.389768 lr=0.088885 Epoch[080] Batch [2899]/[3760] Speed: 61.685200 samples/sec accuracy=44.682651 loss=2.390849 lr=0.088874 Epoch[080] Batch [2949]/[3760] Speed: 61.483184 samples/sec accuracy=44.675318 loss=2.390814 lr=0.088862 Epoch[080] Batch [2999]/[3760] Speed: 62.071080 samples/sec accuracy=44.663021 loss=2.391030 lr=0.088851 Epoch[080] Batch [3049]/[3760] Speed: 61.305889 samples/sec accuracy=44.654201 loss=2.391093 lr=0.088840 Epoch[080] Batch [3099]/[3760] Speed: 62.016919 samples/sec accuracy=44.641129 loss=2.391902 lr=0.088829 Epoch[080] Batch [3149]/[3760] Speed: 60.926651 samples/sec accuracy=44.667163 loss=2.390846 lr=0.088818 Epoch[080] Batch [3199]/[3760] Speed: 62.415001 samples/sec accuracy=44.668457 loss=2.390571 lr=0.088807 Epoch[080] Batch [3249]/[3760] Speed: 62.174879 samples/sec accuracy=44.670673 loss=2.391318 lr=0.088795 Epoch[080] Batch [3299]/[3760] Speed: 61.631505 samples/sec accuracy=44.642519 loss=2.392133 lr=0.088784 Epoch[080] Batch [3349]/[3760] Speed: 61.744201 samples/sec accuracy=44.624534 loss=2.392943 lr=0.088773 Epoch[080] Batch [3399]/[3760] Speed: 62.142799 samples/sec accuracy=44.641544 loss=2.392808 lr=0.088762 Epoch[080] Batch [3449]/[3760] Speed: 61.947673 samples/sec accuracy=44.637681 loss=2.393079 lr=0.088751 Epoch[080] Batch [3499]/[3760] Speed: 61.614768 samples/sec accuracy=44.645536 loss=2.393448 lr=0.088739 Epoch[080] Batch [3549]/[3760] Speed: 61.971877 samples/sec accuracy=44.661972 loss=2.392924 lr=0.088728 Epoch[080] Batch [3599]/[3760] Speed: 61.553140 samples/sec accuracy=44.684896 loss=2.392114 lr=0.088717 Epoch[080] Batch [3649]/[3760] Speed: 62.314502 samples/sec accuracy=44.674658 loss=2.392374 lr=0.088706 Epoch[080] Batch [3699]/[3760] Speed: 61.431862 samples/sec accuracy=44.667652 loss=2.392602 lr=0.088695 Epoch[080] Batch [3749]/[3760] Speed: 66.637912 samples/sec accuracy=44.665833 loss=2.392927 lr=0.088683 Batch [0049]/[0303]: acc-top1=43.562500 acc-top5=70.687500 Batch [0099]/[0303]: acc-top1=44.765625 acc-top5=71.328125 Batch [0149]/[0303]: acc-top1=44.510417 acc-top5=71.114583 Batch [0199]/[0303]: acc-top1=44.921875 acc-top5=71.500000 Batch [0249]/[0303]: acc-top1=44.775000 acc-top5=71.368750 Batch [0299]/[0303]: acc-top1=45.171875 acc-top5=71.656250 [Epoch 080] training: accuracy=44.667138 loss=2.392897 [Epoch 080] speed: 61 samples/sec time cost: 4215.539640 [Epoch 080] validation: acc-top1=45.142327 acc-top5=71.606848 loss=2.602232 Epoch[081] Batch [0049]/[3759] Speed: 41.054649 samples/sec accuracy=46.937500 loss=2.283870 lr=0.088670 Epoch[081] Batch [0099]/[3759] Speed: 60.266583 samples/sec accuracy=45.843750 loss=2.316210 lr=0.088659 Epoch[081] Batch [0149]/[3759] Speed: 61.330044 samples/sec accuracy=45.447917 loss=2.331085 lr=0.088647 Epoch[081] Batch [0199]/[3759] Speed: 59.814613 samples/sec accuracy=45.648438 loss=2.328609 lr=0.088636 Epoch[081] Batch [0249]/[3759] Speed: 62.634693 samples/sec accuracy=45.262500 loss=2.345894 lr=0.088625 Epoch[081] Batch [0299]/[3759] Speed: 61.189543 samples/sec accuracy=45.010417 loss=2.356962 lr=0.088614 Epoch[081] Batch [0349]/[3759] Speed: 61.218441 samples/sec accuracy=45.049107 loss=2.360265 lr=0.088603 Epoch[081] Batch [0399]/[3759] Speed: 61.202582 samples/sec accuracy=45.070312 loss=2.362743 lr=0.088591 Epoch[081] Batch [0449]/[3759] Speed: 62.437113 samples/sec accuracy=45.083333 loss=2.366570 lr=0.088580 Epoch[081] Batch [0499]/[3759] Speed: 61.095056 samples/sec accuracy=44.900000 loss=2.373894 lr=0.088569 Epoch[081] Batch [0549]/[3759] Speed: 62.341853 samples/sec accuracy=45.008523 loss=2.369149 lr=0.088558 Epoch[081] Batch [0599]/[3759] Speed: 61.193860 samples/sec accuracy=44.934896 loss=2.369208 lr=0.088546 Epoch[081] Batch [0649]/[3759] Speed: 61.802457 samples/sec accuracy=44.949519 loss=2.369829 lr=0.088535 Epoch[081] Batch [0699]/[3759] Speed: 60.976567 samples/sec accuracy=44.962054 loss=2.371849 lr=0.088524 Epoch[081] Batch [0749]/[3759] Speed: 61.434602 samples/sec accuracy=44.841667 loss=2.374751 lr=0.088513 Epoch[081] Batch [0799]/[3759] Speed: 61.600709 samples/sec accuracy=44.804688 loss=2.377519 lr=0.088501 Epoch[081] Batch [0849]/[3759] Speed: 61.920602 samples/sec accuracy=44.779412 loss=2.382249 lr=0.088490 Epoch[081] 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accuracy=44.820602 loss=2.383803 lr=0.088377 Epoch[081] Batch [1399]/[3759] Speed: 62.267899 samples/sec accuracy=44.831473 loss=2.383384 lr=0.088366 Epoch[081] Batch [1449]/[3759] Speed: 61.853195 samples/sec accuracy=44.841595 loss=2.383232 lr=0.088355 Epoch[081] Batch [1499]/[3759] Speed: 61.617871 samples/sec accuracy=44.822917 loss=2.384515 lr=0.088344 Epoch[081] Batch [1549]/[3759] Speed: 62.120824 samples/sec accuracy=44.799395 loss=2.386249 lr=0.088332 Epoch[081] Batch [1599]/[3759] Speed: 62.268533 samples/sec accuracy=44.832031 loss=2.385944 lr=0.088321 Epoch[081] Batch [1649]/[3759] Speed: 61.863786 samples/sec accuracy=44.801136 loss=2.385043 lr=0.088310 Epoch[081] Batch [1699]/[3759] Speed: 61.913909 samples/sec accuracy=44.784007 loss=2.386183 lr=0.088298 Epoch[081] Batch [1749]/[3759] Speed: 62.025581 samples/sec accuracy=44.757143 loss=2.385865 lr=0.088287 Epoch[081] Batch [1799]/[3759] Speed: 61.506037 samples/sec accuracy=44.731771 loss=2.386623 lr=0.088276 Epoch[081] Batch [1849]/[3759] Speed: 62.178666 samples/sec accuracy=44.728885 loss=2.386752 lr=0.088265 Epoch[081] Batch [1899]/[3759] Speed: 61.319747 samples/sec accuracy=44.719572 loss=2.386181 lr=0.088253 Epoch[081] Batch [1949]/[3759] Speed: 62.393348 samples/sec accuracy=44.758013 loss=2.384933 lr=0.088242 Epoch[081] Batch [1999]/[3759] Speed: 61.953794 samples/sec accuracy=44.760937 loss=2.385201 lr=0.088231 Epoch[081] Batch [2049]/[3759] Speed: 61.333248 samples/sec accuracy=44.784299 loss=2.384797 lr=0.088219 Epoch[081] Batch [2099]/[3759] Speed: 62.483644 samples/sec accuracy=44.799107 loss=2.383963 lr=0.088208 Epoch[081] Batch [2149]/[3759] Speed: 62.028653 samples/sec accuracy=44.760901 loss=2.385815 lr=0.088197 Epoch[081] Batch [2199]/[3759] Speed: 61.689090 samples/sec accuracy=44.750710 loss=2.386406 lr=0.088185 Epoch[081] Batch [2249]/[3759] Speed: 62.101402 samples/sec accuracy=44.758333 loss=2.386191 lr=0.088174 Epoch[081] Batch [2299]/[3759] Speed: 61.944379 samples/sec accuracy=44.738451 loss=2.386785 lr=0.088163 Epoch[081] Batch [2349]/[3759] Speed: 61.769713 samples/sec accuracy=44.740027 loss=2.386944 lr=0.088151 Epoch[081] Batch [2399]/[3759] Speed: 61.784784 samples/sec accuracy=44.776042 loss=2.385746 lr=0.088140 Epoch[081] Batch [2449]/[3759] Speed: 62.234924 samples/sec accuracy=44.732143 loss=2.387337 lr=0.088129 Epoch[081] Batch [2499]/[3759] Speed: 61.689611 samples/sec accuracy=44.733125 loss=2.387585 lr=0.088118 Epoch[081] Batch [2549]/[3759] Speed: 62.072152 samples/sec accuracy=44.738971 loss=2.387104 lr=0.088106 Epoch[081] Batch [2599]/[3759] Speed: 62.126319 samples/sec accuracy=44.765024 loss=2.386658 lr=0.088095 Epoch[081] Batch [2649]/[3759] Speed: 61.890665 samples/sec accuracy=44.779481 loss=2.385500 lr=0.088084 Epoch[081] Batch [2699]/[3759] Speed: 62.132049 samples/sec accuracy=44.781829 loss=2.385536 lr=0.088072 Epoch[081] Batch [2749]/[3759] Speed: 61.836424 samples/sec accuracy=44.751705 loss=2.386412 lr=0.088061 Epoch[081] Batch [2799]/[3759] Speed: 61.827770 samples/sec accuracy=44.741071 loss=2.386896 lr=0.088049 Epoch[081] Batch [2849]/[3759] Speed: 62.341595 samples/sec accuracy=44.751096 loss=2.386673 lr=0.088038 Epoch[081] Batch [2899]/[3759] Speed: 61.574036 samples/sec accuracy=44.723599 loss=2.388508 lr=0.088027 Epoch[081] Batch [2949]/[3759] Speed: 62.397202 samples/sec accuracy=44.736758 loss=2.389181 lr=0.088015 Epoch[081] Batch [2999]/[3759] Speed: 61.878133 samples/sec accuracy=44.733854 loss=2.390135 lr=0.088004 Epoch[081] Batch [3049]/[3759] Speed: 61.968357 samples/sec accuracy=44.740266 loss=2.390247 lr=0.087993 Epoch[081] Batch [3099]/[3759] Speed: 62.605675 samples/sec accuracy=44.741431 loss=2.390271 lr=0.087981 Epoch[081] Batch [3149]/[3759] Speed: 62.277616 samples/sec accuracy=44.750000 loss=2.390927 lr=0.087970 Epoch[081] Batch [3199]/[3759] Speed: 62.143398 samples/sec accuracy=44.747559 loss=2.391053 lr=0.087959 Epoch[081] Batch [3249]/[3759] Speed: 61.911983 samples/sec accuracy=44.741827 loss=2.391231 lr=0.087947 Epoch[081] Batch [3299]/[3759] Speed: 62.094459 samples/sec accuracy=44.739583 loss=2.391093 lr=0.087936 Epoch[081] Batch [3349]/[3759] Speed: 62.113220 samples/sec accuracy=44.722948 loss=2.391576 lr=0.087925 Epoch[081] Batch [3399]/[3759] Speed: 61.795662 samples/sec accuracy=44.731618 loss=2.391411 lr=0.087913 Epoch[081] Batch [3449]/[3759] Speed: 62.282637 samples/sec accuracy=44.733243 loss=2.391588 lr=0.087902 Epoch[081] Batch [3499]/[3759] Speed: 61.948333 samples/sec accuracy=44.721875 loss=2.392079 lr=0.087891 Epoch[081] Batch [3549]/[3759] Speed: 61.936226 samples/sec accuracy=44.716549 loss=2.392336 lr=0.087879 Epoch[081] Batch [3599]/[3759] Speed: 61.740691 samples/sec accuracy=44.721354 loss=2.392168 lr=0.087868 Epoch[081] Batch [3649]/[3759] Speed: 61.552579 samples/sec accuracy=44.689212 loss=2.392965 lr=0.087856 Epoch[081] Batch [3699]/[3759] Speed: 62.253063 samples/sec accuracy=44.692568 loss=2.392809 lr=0.087845 Epoch[081] Batch [3749]/[3759] Speed: 67.012489 samples/sec accuracy=44.710417 loss=2.392320 lr=0.087834 Batch [0049]/[0303]: acc-top1=42.500000 acc-top5=70.093750 Batch [0099]/[0303]: acc-top1=43.218750 acc-top5=70.578125 Batch [0149]/[0303]: acc-top1=42.760417 acc-top5=70.104167 Batch [0199]/[0303]: acc-top1=43.062500 acc-top5=70.296875 Batch [0249]/[0303]: acc-top1=43.043750 acc-top5=70.268750 Batch [0299]/[0303]: acc-top1=43.166667 acc-top5=70.453125 [Epoch 081] training: accuracy=44.716015 loss=2.392283 [Epoch 081] speed: 61 samples/sec time cost: 4211.423880 [Epoch 081] validation: acc-top1=43.120875 acc-top5=70.420792 loss=2.756652 Epoch[082] Batch [0049]/[3760] Speed: 41.927072 samples/sec accuracy=44.718750 loss=2.345032 lr=0.087820 Epoch[082] Batch [0099]/[3760] Speed: 60.271601 samples/sec accuracy=45.421875 loss=2.337477 lr=0.087809 Epoch[082] Batch [0149]/[3760] Speed: 60.591469 samples/sec accuracy=45.406250 loss=2.344562 lr=0.087797 Epoch[082] Batch [0199]/[3760] Speed: 60.852434 samples/sec accuracy=45.460938 loss=2.343960 lr=0.087786 Epoch[082] Batch [0249]/[3760] Speed: 62.033163 samples/sec accuracy=45.650000 loss=2.341824 lr=0.087775 Epoch[082] Batch [0299]/[3760] Speed: 60.910973 samples/sec accuracy=45.291667 loss=2.353344 lr=0.087763 Epoch[082] Batch [0349]/[3760] Speed: 62.783265 samples/sec accuracy=45.223214 loss=2.357153 lr=0.087752 Epoch[082] Batch [0399]/[3760] Speed: 60.267672 samples/sec accuracy=45.390625 loss=2.351724 lr=0.087740 Epoch[082] Batch [0449]/[3760] Speed: 62.926023 samples/sec accuracy=45.486111 loss=2.349764 lr=0.087729 Epoch[082] Batch [0499]/[3760] Speed: 61.455288 samples/sec accuracy=45.406250 loss=2.355311 lr=0.087718 Epoch[082] Batch [0549]/[3760] Speed: 61.974413 samples/sec accuracy=45.397727 loss=2.355819 lr=0.087706 Epoch[082] Batch [0599]/[3760] Speed: 61.621875 samples/sec accuracy=45.338542 loss=2.355895 lr=0.087695 Epoch[082] Batch [0649]/[3760] Speed: 62.200618 samples/sec accuracy=45.329327 loss=2.355928 lr=0.087683 Epoch[082] Batch [0699]/[3760] Speed: 61.572423 samples/sec accuracy=45.258929 loss=2.360010 lr=0.087672 Epoch[082] Batch [0749]/[3760] Speed: 62.010446 samples/sec accuracy=45.241667 loss=2.361058 lr=0.087661 Epoch[082] Batch [0799]/[3760] Speed: 61.834437 samples/sec accuracy=45.228516 loss=2.361892 lr=0.087649 Epoch[082] Batch [0849]/[3760] Speed: 61.838711 samples/sec accuracy=45.301471 loss=2.358523 lr=0.087638 Epoch[082] Batch [0899]/[3760] Speed: 62.047529 samples/sec accuracy=45.307292 loss=2.360677 lr=0.087626 Epoch[082] Batch [0949]/[3760] Speed: 61.063794 samples/sec accuracy=45.333882 loss=2.359833 lr=0.087615 Epoch[082] Batch [0999]/[3760] Speed: 62.928267 samples/sec accuracy=45.268750 loss=2.362902 lr=0.087604 Epoch[082] Batch [1049]/[3760] Speed: 62.169753 samples/sec accuracy=45.208333 loss=2.365207 lr=0.087592 Epoch[082] Batch [1099]/[3760] Speed: 61.631360 samples/sec accuracy=45.204545 loss=2.367102 lr=0.087581 Epoch[082] Batch [1149]/[3760] Speed: 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lr=0.087466 Epoch[082] Batch [1649]/[3760] Speed: 61.729017 samples/sec accuracy=45.065341 loss=2.374160 lr=0.087455 Epoch[082] Batch [1699]/[3760] Speed: 61.685885 samples/sec accuracy=45.108456 loss=2.374381 lr=0.087443 Epoch[082] Batch [1749]/[3760] Speed: 62.291686 samples/sec accuracy=45.083929 loss=2.374717 lr=0.087432 Epoch[082] Batch [1799]/[3760] Speed: 61.238420 samples/sec accuracy=45.080729 loss=2.375412 lr=0.087420 Epoch[082] Batch [1849]/[3760] Speed: 62.238165 samples/sec accuracy=45.091216 loss=2.375775 lr=0.087409 Epoch[082] Batch [1899]/[3760] Speed: 61.458493 samples/sec accuracy=45.094572 loss=2.375673 lr=0.087397 Epoch[082] Batch [1949]/[3760] Speed: 62.273956 samples/sec accuracy=45.072917 loss=2.376854 lr=0.087386 Epoch[082] Batch [1999]/[3760] Speed: 61.725890 samples/sec accuracy=45.074219 loss=2.378247 lr=0.087375 Epoch[082] Batch [2049]/[3760] Speed: 61.667712 samples/sec accuracy=45.091463 loss=2.378042 lr=0.087363 Epoch[082] Batch [2099]/[3760] Speed: 61.793848 samples/sec accuracy=45.108631 loss=2.377142 lr=0.087352 Epoch[082] Batch [2149]/[3760] Speed: 62.366896 samples/sec accuracy=45.102471 loss=2.376451 lr=0.087340 Epoch[082] Batch [2199]/[3760] Speed: 61.306414 samples/sec accuracy=45.107955 loss=2.376300 lr=0.087329 Epoch[082] Batch [2249]/[3760] Speed: 61.919334 samples/sec accuracy=45.136806 loss=2.375693 lr=0.087317 Epoch[082] Batch [2299]/[3760] Speed: 62.058016 samples/sec accuracy=45.196332 loss=2.375500 lr=0.087306 Epoch[082] Batch [2349]/[3760] Speed: 61.981628 samples/sec accuracy=45.166223 loss=2.377713 lr=0.087294 Epoch[082] Batch [2399]/[3760] Speed: 61.619828 samples/sec accuracy=45.174479 loss=2.376853 lr=0.087283 Epoch[082] Batch [2449]/[3760] Speed: 62.289139 samples/sec accuracy=45.161352 loss=2.376937 lr=0.087271 Epoch[082] Batch [2499]/[3760] Speed: 61.598986 samples/sec accuracy=45.157500 loss=2.377118 lr=0.087260 Epoch[082] Batch [2549]/[3760] Speed: 61.812331 samples/sec accuracy=45.181985 loss=2.375856 lr=0.087248 Epoch[082] Batch [2599]/[3760] Speed: 61.224456 samples/sec accuracy=45.180288 loss=2.375130 lr=0.087237 Epoch[082] Batch [2649]/[3760] Speed: 62.401983 samples/sec accuracy=45.145637 loss=2.376304 lr=0.087225 Epoch[082] Batch [2699]/[3760] Speed: 61.954015 samples/sec accuracy=45.140625 loss=2.376950 lr=0.087214 Epoch[082] Batch [2749]/[3760] Speed: 61.751229 samples/sec accuracy=45.143182 loss=2.377742 lr=0.087202 Epoch[082] Batch [2799]/[3760] Speed: 61.752291 samples/sec accuracy=45.136161 loss=2.379089 lr=0.087191 Epoch[082] Batch [2849]/[3760] Speed: 62.091449 samples/sec accuracy=45.123904 loss=2.379408 lr=0.087179 Epoch[082] Batch [2899]/[3760] Speed: 61.589460 samples/sec accuracy=45.119073 loss=2.379610 lr=0.087168 Epoch[082] Batch [2949]/[3760] Speed: 61.732679 samples/sec accuracy=45.126589 loss=2.379717 lr=0.087156 Epoch[082] Batch [2999]/[3760] Speed: 62.127729 samples/sec accuracy=45.133854 loss=2.379524 lr=0.087145 Epoch[082] Batch [3049]/[3760] Speed: 61.195733 samples/sec accuracy=45.128586 loss=2.379242 lr=0.087133 Epoch[082] Batch [3099]/[3760] Speed: 62.106113 samples/sec accuracy=45.107863 loss=2.380638 lr=0.087122 Epoch[082] Batch [3149]/[3760] Speed: 61.027941 samples/sec accuracy=45.103175 loss=2.381248 lr=0.087110 Epoch[082] Batch [3199]/[3760] Speed: 62.835247 samples/sec accuracy=45.096191 loss=2.381395 lr=0.087099 Epoch[082] Batch [3249]/[3760] Speed: 61.848143 samples/sec accuracy=45.088462 loss=2.382042 lr=0.087087 Epoch[082] Batch [3299]/[3760] Speed: 61.839755 samples/sec accuracy=45.094697 loss=2.381455 lr=0.087076 Epoch[082] Batch [3349]/[3760] Speed: 62.239455 samples/sec accuracy=45.077892 loss=2.382084 lr=0.087064 Epoch[082] Batch [3399]/[3760] Speed: 61.666554 samples/sec accuracy=45.082261 loss=2.382458 lr=0.087053 Epoch[082] Batch [3449]/[3760] Speed: 61.633883 samples/sec accuracy=45.081069 loss=2.382490 lr=0.087041 Epoch[082] Batch [3499]/[3760] Speed: 61.721201 samples/sec accuracy=45.079464 loss=2.382807 lr=0.087030 Epoch[082] Batch [3549]/[3760] Speed: 62.021595 samples/sec accuracy=45.075264 loss=2.383137 lr=0.087018 Epoch[082] Batch [3599]/[3760] Speed: 61.705887 samples/sec accuracy=45.079427 loss=2.382990 lr=0.087006 Epoch[082] Batch [3649]/[3760] Speed: 61.983123 samples/sec accuracy=45.077483 loss=2.383353 lr=0.086995 Epoch[082] Batch [3699]/[3760] Speed: 61.027112 samples/sec accuracy=45.061655 loss=2.383269 lr=0.086983 Epoch[082] Batch [3749]/[3760] Speed: 67.528629 samples/sec accuracy=45.071250 loss=2.383146 lr=0.086972 Batch [0049]/[0303]: acc-top1=43.781250 acc-top5=70.750000 Batch [0099]/[0303]: acc-top1=44.843750 acc-top5=71.609375 Batch [0149]/[0303]: acc-top1=44.781250 acc-top5=71.479167 Batch [0199]/[0303]: acc-top1=45.390625 acc-top5=71.953125 Batch [0249]/[0303]: acc-top1=44.993750 acc-top5=71.587500 Batch [0299]/[0303]: acc-top1=45.322917 acc-top5=71.869792 [Epoch 082] training: accuracy=45.075632 loss=2.383094 [Epoch 082] speed: 61 samples/sec time cost: 4211.622186 [Epoch 082] validation: acc-top1=45.302186 acc-top5=71.833746 loss=2.651401 Epoch[083] Batch [0049]/[3760] Speed: 41.246849 samples/sec accuracy=45.250000 loss=2.329310 lr=0.086958 Epoch[083] Batch [0099]/[3760] Speed: 60.304528 samples/sec accuracy=44.875000 loss=2.357754 lr=0.086946 Epoch[083] Batch [0149]/[3760] Speed: 62.139228 samples/sec accuracy=45.479167 loss=2.356097 lr=0.086935 Epoch[083] Batch [0199]/[3760] Speed: 60.970311 samples/sec accuracy=45.710938 loss=2.339303 lr=0.086923 Epoch[083] Batch [0249]/[3760] Speed: 61.777083 samples/sec accuracy=45.731250 loss=2.331808 lr=0.086912 Epoch[083] Batch [0299]/[3760] Speed: 61.711701 samples/sec accuracy=45.760417 loss=2.338190 lr=0.086900 Epoch[083] Batch [0349]/[3760] Speed: 61.609017 samples/sec accuracy=45.602679 loss=2.342770 lr=0.086889 Epoch[083] Batch [0399]/[3760] Speed: 61.562487 samples/sec accuracy=45.570312 loss=2.345687 lr=0.086877 Epoch[083] Batch [0449]/[3760] Speed: 61.839853 samples/sec 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accuracy=45.467634 loss=2.353061 lr=0.086645 Epoch[083] Batch [1449]/[3760] Speed: 61.653902 samples/sec accuracy=45.460129 loss=2.355127 lr=0.086634 Epoch[083] Batch [1499]/[3760] Speed: 62.192614 samples/sec accuracy=45.406250 loss=2.357169 lr=0.086622 Epoch[083] Batch [1549]/[3760] Speed: 62.725395 samples/sec accuracy=45.466734 loss=2.356009 lr=0.086611 Epoch[083] Batch [1599]/[3760] Speed: 61.151190 samples/sec accuracy=45.464844 loss=2.355923 lr=0.086599 Epoch[083] Batch [1649]/[3760] Speed: 62.395474 samples/sec accuracy=45.428030 loss=2.356761 lr=0.086587 Epoch[083] Batch [1699]/[3760] Speed: 61.317092 samples/sec accuracy=45.401654 loss=2.358309 lr=0.086576 Epoch[083] Batch [1749]/[3760] Speed: 61.639199 samples/sec accuracy=45.375000 loss=2.359439 lr=0.086564 Epoch[083] Batch [1799]/[3760] Speed: 61.810100 samples/sec accuracy=45.349826 loss=2.359736 lr=0.086553 Epoch[083] Batch [1849]/[3760] Speed: 61.685024 samples/sec accuracy=45.343750 loss=2.360482 lr=0.086541 Epoch[083] 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accuracy=45.125665 loss=2.369804 lr=0.086425 Epoch[083] Batch [2399]/[3760] Speed: 61.914599 samples/sec accuracy=45.152344 loss=2.369208 lr=0.086413 Epoch[083] Batch [2449]/[3760] Speed: 61.799388 samples/sec accuracy=45.160077 loss=2.369443 lr=0.086401 Epoch[083] Batch [2499]/[3760] Speed: 61.808027 samples/sec accuracy=45.155000 loss=2.370472 lr=0.086390 Epoch[083] Batch [2549]/[3760] Speed: 61.912852 samples/sec accuracy=45.162377 loss=2.370279 lr=0.086378 Epoch[083] Batch [2599]/[3760] Speed: 61.593579 samples/sec accuracy=45.153846 loss=2.371156 lr=0.086366 Epoch[083] Batch [2649]/[3760] Speed: 62.166309 samples/sec accuracy=45.138561 loss=2.371286 lr=0.086355 Epoch[083] Batch [2699]/[3760] Speed: 61.799443 samples/sec accuracy=45.163773 loss=2.370831 lr=0.086343 Epoch[083] Batch [2749]/[3760] Speed: 61.540386 samples/sec accuracy=45.134659 loss=2.372026 lr=0.086331 Epoch[083] Batch [2799]/[3760] Speed: 62.052965 samples/sec accuracy=45.122768 loss=2.372869 lr=0.086320 Epoch[083] 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accuracy=45.167614 loss=2.373202 lr=0.086203 Epoch[083] Batch [3349]/[3760] Speed: 61.340576 samples/sec accuracy=45.145056 loss=2.374436 lr=0.086191 Epoch[083] Batch [3399]/[3760] Speed: 61.334866 samples/sec accuracy=45.134651 loss=2.374949 lr=0.086180 Epoch[083] Batch [3449]/[3760] Speed: 62.344602 samples/sec accuracy=45.124094 loss=2.375144 lr=0.086168 Epoch[083] Batch [3499]/[3760] Speed: 62.314542 samples/sec accuracy=45.105804 loss=2.375581 lr=0.086156 Epoch[083] Batch [3549]/[3760] Speed: 61.424952 samples/sec accuracy=45.118398 loss=2.374827 lr=0.086145 Epoch[083] Batch [3599]/[3760] Speed: 62.224300 samples/sec accuracy=45.111979 loss=2.374968 lr=0.086133 Epoch[083] Batch [3649]/[3760] Speed: 61.678636 samples/sec accuracy=45.116866 loss=2.375041 lr=0.086121 Epoch[083] Batch [3699]/[3760] Speed: 61.744494 samples/sec accuracy=45.121199 loss=2.375032 lr=0.086109 Epoch[083] Batch [3749]/[3760] Speed: 67.340632 samples/sec accuracy=45.112083 loss=2.375117 lr=0.086098 Batch [0049]/[0303]: acc-top1=43.937500 acc-top5=71.187500 Batch [0099]/[0303]: acc-top1=44.890625 acc-top5=71.750000 Batch [0149]/[0303]: acc-top1=44.354167 acc-top5=71.343750 Batch [0199]/[0303]: acc-top1=44.742188 acc-top5=71.507812 Batch [0249]/[0303]: acc-top1=44.531250 acc-top5=71.443750 Batch [0299]/[0303]: acc-top1=44.692708 acc-top5=71.802083 [Epoch 083] training: accuracy=45.111785 loss=2.375060 [Epoch 083] speed: 61 samples/sec time cost: 4213.231884 [Epoch 083] validation: acc-top1=44.698845 acc-top5=71.802805 loss=2.746456 Epoch[084] Batch [0049]/[3759] Speed: 40.739654 samples/sec accuracy=46.593750 loss=2.304014 lr=0.086084 Epoch[084] Batch [0099]/[3759] Speed: 59.688778 samples/sec accuracy=47.109375 loss=2.289388 lr=0.086072 Epoch[084] Batch [0149]/[3759] Speed: 61.252535 samples/sec accuracy=47.114583 loss=2.302788 lr=0.086060 Epoch[084] Batch [0199]/[3759] Speed: 60.306900 samples/sec accuracy=46.945312 loss=2.306999 lr=0.086049 Epoch[084] Batch [0249]/[3759] Speed: 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lr=0.085259 Epoch[084] Batch [3599]/[3759] Speed: 61.932553 samples/sec accuracy=45.200087 loss=2.369942 lr=0.085248 Epoch[084] Batch [3649]/[3759] Speed: 61.796494 samples/sec accuracy=45.210616 loss=2.369997 lr=0.085236 Epoch[084] Batch [3699]/[3759] Speed: 62.198420 samples/sec accuracy=45.201014 loss=2.370260 lr=0.085224 Epoch[084] Batch [3749]/[3759] Speed: 66.868708 samples/sec accuracy=45.199167 loss=2.370379 lr=0.085212 Batch [0049]/[0303]: acc-top1=44.843750 acc-top5=71.906250 Batch [0099]/[0303]: acc-top1=46.046875 acc-top5=72.765625 Batch [0149]/[0303]: acc-top1=45.687500 acc-top5=72.385417 Batch [0199]/[0303]: acc-top1=45.625000 acc-top5=72.437500 Batch [0249]/[0303]: acc-top1=45.450000 acc-top5=72.131250 Batch [0299]/[0303]: acc-top1=45.817708 acc-top5=72.500000 [Epoch 084] training: accuracy=45.195697 loss=2.370448 [Epoch 084] speed: 61 samples/sec time cost: 4216.646814 [Epoch 084] validation: acc-top1=45.802393 acc-top5=72.442244 loss=2.599696 Epoch[085] Batch 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accuracy=45.394397 loss=2.362576 lr=0.084865 Epoch[085] Batch [1499]/[3760] Speed: 61.942653 samples/sec accuracy=45.393750 loss=2.361741 lr=0.084853 Epoch[085] Batch [1549]/[3760] Speed: 62.058618 samples/sec accuracy=45.386089 loss=2.362501 lr=0.084841 Epoch[085] Batch [1599]/[3760] Speed: 61.711373 samples/sec accuracy=45.389648 loss=2.360881 lr=0.084829 Epoch[085] Batch [1649]/[3760] Speed: 62.435391 samples/sec accuracy=45.351326 loss=2.361892 lr=0.084818 Epoch[085] Batch [1699]/[3760] Speed: 61.540640 samples/sec accuracy=45.376838 loss=2.360782 lr=0.084806 Epoch[085] Batch [1749]/[3760] Speed: 61.408215 samples/sec accuracy=45.383929 loss=2.361764 lr=0.084794 Epoch[085] Batch [1799]/[3760] Speed: 62.331816 samples/sec accuracy=45.388021 loss=2.362122 lr=0.084782 Epoch[085] Batch [1849]/[3760] Speed: 61.457589 samples/sec accuracy=45.395270 loss=2.361329 lr=0.084770 Epoch[085] Batch [1899]/[3760] Speed: 61.831445 samples/sec accuracy=45.404605 loss=2.360838 lr=0.084758 Epoch[085] 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accuracy=45.410807 loss=2.363529 lr=0.084639 Epoch[085] Batch [2449]/[3760] Speed: 62.328381 samples/sec accuracy=45.427934 loss=2.362637 lr=0.084627 Epoch[085] Batch [2499]/[3760] Speed: 61.869267 samples/sec accuracy=45.415625 loss=2.362600 lr=0.084615 Epoch[085] Batch [2549]/[3760] Speed: 62.126498 samples/sec accuracy=45.403186 loss=2.363109 lr=0.084603 Epoch[085] Batch [2599]/[3760] Speed: 62.142930 samples/sec accuracy=45.387019 loss=2.363369 lr=0.084591 Epoch[085] Batch [2649]/[3760] Speed: 61.814327 samples/sec accuracy=45.388561 loss=2.363762 lr=0.084579 Epoch[085] Batch [2699]/[3760] Speed: 61.966158 samples/sec accuracy=45.365741 loss=2.365123 lr=0.084567 Epoch[085] Batch [2749]/[3760] Speed: 62.173260 samples/sec accuracy=45.367045 loss=2.364661 lr=0.084555 Epoch[085] Batch [2799]/[3760] Speed: 61.498797 samples/sec accuracy=45.369978 loss=2.364833 lr=0.084543 Epoch[085] Batch [2849]/[3760] Speed: 62.064156 samples/sec accuracy=45.366776 loss=2.364411 lr=0.084531 Epoch[085] Batch [2899]/[3760] Speed: 62.295807 samples/sec accuracy=45.383082 loss=2.364250 lr=0.084519 Epoch[085] Batch [2949]/[3760] Speed: 61.432881 samples/sec accuracy=45.367585 loss=2.365246 lr=0.084507 Epoch[085] Batch [2999]/[3760] Speed: 62.107765 samples/sec accuracy=45.361979 loss=2.365452 lr=0.084495 Epoch[085] Batch [3049]/[3760] Speed: 61.705718 samples/sec accuracy=45.339652 loss=2.366311 lr=0.084483 Epoch[085] Batch [3099]/[3760] Speed: 61.758899 samples/sec accuracy=45.347278 loss=2.366131 lr=0.084471 Epoch[085] Batch [3149]/[3760] Speed: 61.993448 samples/sec accuracy=45.304563 loss=2.367558 lr=0.084459 Epoch[085] Batch [3199]/[3760] Speed: 61.160557 samples/sec accuracy=45.306152 loss=2.367706 lr=0.084447 Epoch[085] Batch [3249]/[3760] Speed: 62.459376 samples/sec accuracy=45.302885 loss=2.367509 lr=0.084435 Epoch[085] Batch [3299]/[3760] Speed: 62.264725 samples/sec accuracy=45.316761 loss=2.367107 lr=0.084423 Epoch[085] Batch [3349]/[3760] Speed: 61.027205 samples/sec accuracy=45.300373 loss=2.366872 lr=0.084411 Epoch[085] Batch [3399]/[3760] Speed: 62.792226 samples/sec accuracy=45.284007 loss=2.367252 lr=0.084399 Epoch[085] Batch [3449]/[3760] Speed: 62.317415 samples/sec accuracy=45.282609 loss=2.367856 lr=0.084387 Epoch[085] Batch [3499]/[3760] Speed: 60.816048 samples/sec accuracy=45.284821 loss=2.367646 lr=0.084375 Epoch[085] Batch [3549]/[3760] Speed: 62.896038 samples/sec accuracy=45.273768 loss=2.367949 lr=0.084363 Epoch[085] Batch [3599]/[3760] Speed: 61.665525 samples/sec accuracy=45.270833 loss=2.368048 lr=0.084351 Epoch[085] Batch [3649]/[3760] Speed: 61.242756 samples/sec accuracy=45.255137 loss=2.368791 lr=0.084339 Epoch[085] Batch [3699]/[3760] Speed: 62.025003 samples/sec accuracy=45.247889 loss=2.369145 lr=0.084327 Epoch[085] Batch [3749]/[3760] Speed: 67.072748 samples/sec accuracy=45.269583 loss=2.368437 lr=0.084315 Batch [0049]/[0303]: acc-top1=44.812500 acc-top5=70.281250 Batch [0099]/[0303]: acc-top1=45.281250 acc-top5=70.609375 Batch [0149]/[0303]: acc-top1=44.937500 acc-top5=70.906250 Batch [0199]/[0303]: acc-top1=45.054688 acc-top5=70.992188 Batch [0249]/[0303]: acc-top1=44.856250 acc-top5=70.856250 Batch [0299]/[0303]: acc-top1=44.895833 acc-top5=71.208333 [Epoch 085] training: accuracy=45.262217 loss=2.368835 [Epoch 085] speed: 61 samples/sec time cost: 4211.617182 [Epoch 085] validation: acc-top1=44.858705 acc-top5=71.199464 loss=2.663930 Epoch[086] Batch [0049]/[3760] Speed: 41.300558 samples/sec accuracy=45.343750 loss=2.333550 lr=0.084301 Epoch[086] Batch [0099]/[3760] Speed: 60.327472 samples/sec accuracy=45.203125 loss=2.328070 lr=0.084289 Epoch[086] Batch [0149]/[3760] Speed: 61.419520 samples/sec accuracy=45.468750 loss=2.316741 lr=0.084277 Epoch[086] Batch [0199]/[3760] Speed: 60.745745 samples/sec accuracy=45.773438 loss=2.320995 lr=0.084265 Epoch[086] Batch [0249]/[3760] Speed: 61.897098 samples/sec accuracy=45.775000 loss=2.316998 lr=0.084253 Epoch[086] Batch [0299]/[3760] 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accuracy=45.379774 loss=2.358049 lr=0.083443 Epoch[086] Batch [3649]/[3760] Speed: 61.987285 samples/sec accuracy=45.390411 loss=2.357863 lr=0.083431 Epoch[086] Batch [3699]/[3760] Speed: 61.904585 samples/sec accuracy=45.391470 loss=2.357707 lr=0.083419 Epoch[086] Batch [3749]/[3760] Speed: 66.612529 samples/sec accuracy=45.410000 loss=2.357368 lr=0.083407 Batch [0049]/[0303]: acc-top1=43.562500 acc-top5=69.937500 Batch [0099]/[0303]: acc-top1=44.609375 acc-top5=71.078125 Batch [0149]/[0303]: acc-top1=44.083333 acc-top5=70.645833 Batch [0199]/[0303]: acc-top1=44.507812 acc-top5=70.859375 Batch [0249]/[0303]: acc-top1=44.487500 acc-top5=70.587500 Batch [0299]/[0303]: acc-top1=44.567708 acc-top5=70.760417 [Epoch 086] training: accuracy=45.409325 loss=2.357557 [Epoch 086] speed: 61 samples/sec time cost: 4221.403264 [Epoch 086] validation: acc-top1=44.533828 acc-top5=70.730198 loss=2.635347 Epoch[087] Batch [0049]/[3759] Speed: 41.334885 samples/sec accuracy=46.750000 loss=2.289365 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lr=0.082697 Epoch[087] Batch [2949]/[3759] Speed: 61.872188 samples/sec accuracy=45.659428 loss=2.345749 lr=0.082684 Epoch[087] Batch [2999]/[3759] Speed: 61.706124 samples/sec accuracy=45.665104 loss=2.346347 lr=0.082672 Epoch[087] Batch [3049]/[3759] Speed: 61.309491 samples/sec accuracy=45.653689 loss=2.347271 lr=0.082660 Epoch[087] Batch [3099]/[3759] Speed: 62.081969 samples/sec accuracy=45.664315 loss=2.347568 lr=0.082648 Epoch[087] Batch [3149]/[3759] Speed: 61.583528 samples/sec accuracy=45.675099 loss=2.347418 lr=0.082635 Epoch[087] Batch [3199]/[3759] Speed: 62.002873 samples/sec accuracy=45.669922 loss=2.348427 lr=0.082623 Epoch[087] Batch [3249]/[3759] Speed: 61.969901 samples/sec accuracy=45.649519 loss=2.349442 lr=0.082611 Epoch[087] Batch [3299]/[3759] Speed: 61.779713 samples/sec accuracy=45.636364 loss=2.349928 lr=0.082599 Epoch[087] Batch [3349]/[3759] Speed: 61.068888 samples/sec accuracy=45.628731 loss=2.350840 lr=0.082586 Epoch[087] Batch [3399]/[3759] Speed: 62.205808 samples/sec accuracy=45.603860 loss=2.352103 lr=0.082574 Epoch[087] Batch [3449]/[3759] Speed: 62.740940 samples/sec accuracy=45.590580 loss=2.352495 lr=0.082562 Epoch[087] Batch [3499]/[3759] Speed: 61.683065 samples/sec accuracy=45.593304 loss=2.352246 lr=0.082550 Epoch[087] Batch [3549]/[3759] Speed: 62.135821 samples/sec accuracy=45.598151 loss=2.352366 lr=0.082537 Epoch[087] Batch [3599]/[3759] Speed: 62.037398 samples/sec accuracy=45.586372 loss=2.353162 lr=0.082525 Epoch[087] Batch [3649]/[3759] Speed: 61.563680 samples/sec accuracy=45.600599 loss=2.352875 lr=0.082513 Epoch[087] Batch [3699]/[3759] Speed: 61.737008 samples/sec accuracy=45.595439 loss=2.353485 lr=0.082500 Epoch[087] Batch [3749]/[3759] Speed: 67.500021 samples/sec accuracy=45.593750 loss=2.353218 lr=0.082488 Batch [0049]/[0303]: acc-top1=44.750000 acc-top5=71.437500 Batch [0099]/[0303]: acc-top1=45.312500 acc-top5=72.093750 Batch [0149]/[0303]: acc-top1=44.989583 acc-top5=71.958333 Batch [0199]/[0303]: acc-top1=45.203125 acc-top5=72.242188 Batch [0249]/[0303]: acc-top1=44.800000 acc-top5=71.962500 Batch [0299]/[0303]: acc-top1=45.114583 acc-top5=72.093750 [Epoch 087] training: accuracy=45.595571 loss=2.353049 [Epoch 087] speed: 61 samples/sec time cost: 4215.975787 [Epoch 087] validation: acc-top1=45.059818 acc-top5=72.050330 loss=2.699416 Epoch[088] Batch [0049]/[3760] Speed: 41.591477 samples/sec accuracy=46.656250 loss=2.304769 lr=0.082474 Epoch[088] Batch [0099]/[3760] Speed: 60.361850 samples/sec accuracy=46.671875 loss=2.308857 lr=0.082461 Epoch[088] Batch [0149]/[3760] Speed: 61.094753 samples/sec accuracy=47.208333 loss=2.283387 lr=0.082449 Epoch[088] Batch [0199]/[3760] Speed: 61.453095 samples/sec accuracy=46.851562 loss=2.295120 lr=0.082437 Epoch[088] Batch [0249]/[3760] Speed: 61.922919 samples/sec accuracy=46.718750 loss=2.294973 lr=0.082424 Epoch[088] Batch [0299]/[3760] Speed: 61.239183 samples/sec accuracy=46.567708 loss=2.300533 lr=0.082412 Epoch[088] Batch 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accuracy=45.765046 loss=2.339022 lr=0.081820 Epoch[088] Batch [2749]/[3760] Speed: 61.509456 samples/sec accuracy=45.743182 loss=2.339865 lr=0.081807 Epoch[088] Batch [2799]/[3760] Speed: 61.734033 samples/sec accuracy=45.761161 loss=2.339445 lr=0.081795 Epoch[088] Batch [2849]/[3760] Speed: 61.296793 samples/sec accuracy=45.741776 loss=2.340374 lr=0.081783 Epoch[088] Batch [2899]/[3760] Speed: 61.966868 samples/sec accuracy=45.731142 loss=2.340915 lr=0.081770 Epoch[088] Batch [2949]/[3760] Speed: 61.209227 samples/sec accuracy=45.737818 loss=2.340881 lr=0.081758 Epoch[088] Batch [2999]/[3760] Speed: 62.393174 samples/sec accuracy=45.736979 loss=2.341544 lr=0.081745 Epoch[088] Batch [3049]/[3760] Speed: 62.002114 samples/sec accuracy=45.747439 loss=2.341800 lr=0.081733 Epoch[088] Batch [3099]/[3760] Speed: 61.697958 samples/sec accuracy=45.729839 loss=2.341916 lr=0.081721 Epoch[088] Batch [3149]/[3760] Speed: 61.878950 samples/sec accuracy=45.701885 loss=2.342481 lr=0.081708 Epoch[088] 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accuracy=45.686644 loss=2.342489 lr=0.081584 Epoch[088] Batch [3699]/[3760] Speed: 62.014331 samples/sec accuracy=45.673986 loss=2.343041 lr=0.081572 Epoch[088] Batch [3749]/[3760] Speed: 66.748057 samples/sec accuracy=45.688750 loss=2.342688 lr=0.081559 Batch [0049]/[0303]: acc-top1=45.250000 acc-top5=71.718750 Batch [0099]/[0303]: acc-top1=46.187500 acc-top5=72.703125 Batch [0149]/[0303]: acc-top1=45.656250 acc-top5=72.250000 Batch [0199]/[0303]: acc-top1=45.953125 acc-top5=72.468750 Batch [0249]/[0303]: acc-top1=45.587500 acc-top5=72.312500 Batch [0299]/[0303]: acc-top1=45.869792 acc-top5=72.635417 [Epoch 088] training: accuracy=45.697307 loss=2.342147 [Epoch 088] speed: 61 samples/sec time cost: 4212.154715 [Epoch 088] validation: acc-top1=45.812706 acc-top5=72.571163 loss=2.589635 Epoch[089] Batch [0049]/[3760] Speed: 41.393441 samples/sec accuracy=46.968750 loss=2.252136 lr=0.081544 Epoch[089] Batch [0099]/[3760] Speed: 59.743948 samples/sec accuracy=46.390625 loss=2.287468 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lr=0.080821 Epoch[089] Batch [2999]/[3760] Speed: 61.459519 samples/sec accuracy=45.846875 loss=2.335583 lr=0.080808 Epoch[089] Batch [3049]/[3760] Speed: 62.189474 samples/sec accuracy=45.848361 loss=2.335766 lr=0.080796 Epoch[089] Batch [3099]/[3760] Speed: 62.132266 samples/sec accuracy=45.872984 loss=2.334941 lr=0.080783 Epoch[089] Batch [3149]/[3760] Speed: 60.902962 samples/sec accuracy=45.877480 loss=2.334617 lr=0.080771 Epoch[089] Batch [3199]/[3760] Speed: 61.998191 samples/sec accuracy=45.877930 loss=2.333738 lr=0.080758 Epoch[089] Batch [3249]/[3760] Speed: 62.207236 samples/sec accuracy=45.883173 loss=2.334096 lr=0.080745 Epoch[089] Batch [3299]/[3760] Speed: 61.474484 samples/sec accuracy=45.866004 loss=2.334497 lr=0.080733 Epoch[089] Batch [3349]/[3760] Speed: 62.293569 samples/sec accuracy=45.895056 loss=2.333414 lr=0.080720 Epoch[089] Batch [3399]/[3760] Speed: 61.881282 samples/sec accuracy=45.867647 loss=2.334767 lr=0.080708 Epoch[089] Batch [3449]/[3760] Speed: 61.469552 samples/sec accuracy=45.865036 loss=2.335081 lr=0.080695 Epoch[089] Batch [3499]/[3760] Speed: 61.709528 samples/sec accuracy=45.847768 loss=2.335689 lr=0.080683 Epoch[089] Batch [3549]/[3760] Speed: 61.911551 samples/sec accuracy=45.829665 loss=2.336619 lr=0.080670 Epoch[089] Batch [3599]/[3760] Speed: 61.466609 samples/sec accuracy=45.830729 loss=2.336884 lr=0.080658 Epoch[089] Batch [3649]/[3760] Speed: 62.696048 samples/sec accuracy=45.833476 loss=2.337517 lr=0.080645 Epoch[089] Batch [3699]/[3760] Speed: 61.079105 samples/sec accuracy=45.834037 loss=2.338110 lr=0.080633 Epoch[089] Batch [3749]/[3760] Speed: 67.412376 samples/sec accuracy=45.828333 loss=2.338281 lr=0.080620 Batch [0049]/[0303]: acc-top1=44.218750 acc-top5=72.218750 Batch [0099]/[0303]: acc-top1=45.812500 acc-top5=72.734375 Batch [0149]/[0303]: acc-top1=45.385417 acc-top5=72.458333 Batch [0199]/[0303]: acc-top1=45.609375 acc-top5=72.554688 Batch [0249]/[0303]: acc-top1=45.425000 acc-top5=72.375000 Batch [0299]/[0303]: acc-top1=45.609375 acc-top5=72.567708 [Epoch 089] training: accuracy=45.826961 loss=2.338117 [Epoch 089] speed: 61 samples/sec time cost: 4216.613073 [Epoch 089] validation: acc-top1=45.575495 acc-top5=72.529909 loss=2.588561 Epoch[090] Batch [0049]/[3759] Speed: 41.046771 samples/sec accuracy=45.593750 loss=2.254989 lr=0.080605 Epoch[090] Batch [0099]/[3759] Speed: 60.139637 samples/sec accuracy=46.437500 loss=2.276111 lr=0.080592 Epoch[090] Batch [0149]/[3759] Speed: 61.106166 samples/sec accuracy=46.072917 loss=2.297541 lr=0.080580 Epoch[090] Batch [0199]/[3759] Speed: 61.674946 samples/sec accuracy=46.351562 loss=2.291465 lr=0.080567 Epoch[090] Batch [0249]/[3759] Speed: 62.148380 samples/sec accuracy=46.750000 loss=2.282420 lr=0.080555 Epoch[090] Batch [0299]/[3759] Speed: 60.527773 samples/sec accuracy=46.703125 loss=2.288089 lr=0.080542 Epoch[090] Batch [0349]/[3759] Speed: 62.078080 samples/sec accuracy=46.544643 loss=2.299985 lr=0.080530 Epoch[090] Batch 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accuracy=46.131250 loss=2.323193 lr=0.079924 Epoch[090] Batch [2799]/[3759] Speed: 61.851615 samples/sec accuracy=46.117188 loss=2.324081 lr=0.079912 Epoch[090] Batch [2849]/[3759] Speed: 61.548084 samples/sec accuracy=46.117325 loss=2.323925 lr=0.079899 Epoch[090] Batch [2899]/[3759] Speed: 61.398610 samples/sec accuracy=46.106142 loss=2.325354 lr=0.079887 Epoch[090] Batch [2949]/[3759] Speed: 62.138170 samples/sec accuracy=46.109110 loss=2.325803 lr=0.079874 Epoch[090] Batch [2999]/[3759] Speed: 61.453040 samples/sec accuracy=46.117708 loss=2.326204 lr=0.079861 Epoch[090] Batch [3049]/[3759] Speed: 62.523238 samples/sec accuracy=46.113730 loss=2.325925 lr=0.079849 Epoch[090] Batch [3099]/[3759] Speed: 61.547178 samples/sec accuracy=46.120968 loss=2.325078 lr=0.079836 Epoch[090] Batch [3149]/[3759] Speed: 61.690105 samples/sec accuracy=46.113095 loss=2.324433 lr=0.079823 Epoch[090] Batch [3199]/[3759] Speed: 61.908651 samples/sec accuracy=46.103027 loss=2.324665 lr=0.079811 Epoch[090] 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accuracy=46.011824 loss=2.327895 lr=0.079684 Epoch[090] Batch [3749]/[3759] Speed: 66.509368 samples/sec accuracy=46.021667 loss=2.327290 lr=0.079671 Batch [0049]/[0303]: acc-top1=43.843750 acc-top5=70.781250 Batch [0099]/[0303]: acc-top1=44.625000 acc-top5=71.531250 Batch [0149]/[0303]: acc-top1=44.437500 acc-top5=71.729167 Batch [0199]/[0303]: acc-top1=44.664062 acc-top5=71.773438 Batch [0249]/[0303]: acc-top1=44.531250 acc-top5=71.487500 Batch [0299]/[0303]: acc-top1=44.744792 acc-top5=71.739583 [Epoch 090] training: accuracy=46.018306 loss=2.327409 [Epoch 090] speed: 61 samples/sec time cost: 4213.807718 [Epoch 090] validation: acc-top1=44.704002 acc-top5=71.694513 loss=2.764257 Epoch[091] Batch [0049]/[3760] Speed: 41.174167 samples/sec accuracy=46.125000 loss=2.276774 lr=0.079656 Epoch[091] Batch [0099]/[3760] Speed: 60.211136 samples/sec accuracy=45.750000 loss=2.287372 lr=0.079644 Epoch[091] Batch [0149]/[3760] Speed: 60.689492 samples/sec accuracy=46.041667 loss=2.291226 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lr=0.079148 Epoch[091] Batch [2099]/[3760] Speed: 61.404331 samples/sec accuracy=46.244048 loss=2.308071 lr=0.079135 Epoch[091] Batch [2149]/[3760] Speed: 61.674674 samples/sec accuracy=46.220203 loss=2.308490 lr=0.079122 Epoch[091] Batch [2199]/[3760] Speed: 61.881529 samples/sec accuracy=46.227273 loss=2.308660 lr=0.079109 Epoch[091] Batch [2249]/[3760] Speed: 61.672107 samples/sec accuracy=46.241667 loss=2.308475 lr=0.079097 Epoch[091] Batch [2299]/[3760] Speed: 61.748846 samples/sec accuracy=46.235054 loss=2.309290 lr=0.079084 Epoch[091] Batch [2349]/[3760] Speed: 61.861910 samples/sec accuracy=46.198138 loss=2.310847 lr=0.079071 Epoch[091] Batch [2399]/[3760] Speed: 60.936004 samples/sec accuracy=46.218750 loss=2.310634 lr=0.079058 Epoch[091] Batch [2449]/[3760] Speed: 61.871978 samples/sec accuracy=46.199617 loss=2.310038 lr=0.079046 Epoch[091] Batch [2499]/[3760] Speed: 61.712588 samples/sec accuracy=46.194375 loss=2.310435 lr=0.079033 Epoch[091] Batch [2549]/[3760] Speed: 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lr=0.078905 Epoch[091] Batch [3049]/[3760] Speed: 61.768713 samples/sec accuracy=46.199283 loss=2.314315 lr=0.078892 Epoch[091] Batch [3099]/[3760] Speed: 61.507333 samples/sec accuracy=46.184980 loss=2.314823 lr=0.078880 Epoch[091] Batch [3149]/[3760] Speed: 61.737380 samples/sec accuracy=46.174603 loss=2.315064 lr=0.078867 Epoch[091] Batch [3199]/[3760] Speed: 62.324966 samples/sec accuracy=46.188477 loss=2.315503 lr=0.078854 Epoch[091] Batch [3249]/[3760] Speed: 61.283506 samples/sec accuracy=46.179327 loss=2.315823 lr=0.078841 Epoch[091] Batch [3299]/[3760] Speed: 61.569304 samples/sec accuracy=46.157670 loss=2.316217 lr=0.078828 Epoch[091] Batch [3349]/[3760] Speed: 61.586119 samples/sec accuracy=46.157649 loss=2.316880 lr=0.078816 Epoch[091] Batch [3399]/[3760] Speed: 62.091887 samples/sec accuracy=46.147059 loss=2.316979 lr=0.078803 Epoch[091] Batch [3449]/[3760] Speed: 61.238933 samples/sec accuracy=46.147645 loss=2.317325 lr=0.078790 Epoch[091] Batch [3499]/[3760] Speed: 61.653397 samples/sec accuracy=46.158929 loss=2.317751 lr=0.078777 Epoch[091] Batch [3549]/[3760] Speed: 62.014302 samples/sec accuracy=46.173856 loss=2.317102 lr=0.078765 Epoch[091] Batch [3599]/[3760] Speed: 61.327753 samples/sec accuracy=46.160156 loss=2.317551 lr=0.078752 Epoch[091] Batch [3649]/[3760] Speed: 62.095143 samples/sec accuracy=46.164384 loss=2.317755 lr=0.078739 Epoch[091] Batch [3699]/[3760] Speed: 61.745780 samples/sec accuracy=46.163007 loss=2.317026 lr=0.078726 Epoch[091] Batch [3749]/[3760] Speed: 66.002036 samples/sec accuracy=46.162083 loss=2.316680 lr=0.078713 Batch [0049]/[0303]: acc-top1=45.218750 acc-top5=72.468750 Batch [0099]/[0303]: acc-top1=45.500000 acc-top5=72.375000 Batch [0149]/[0303]: acc-top1=45.281250 acc-top5=72.322917 Batch [0199]/[0303]: acc-top1=45.429688 acc-top5=72.273438 Batch [0249]/[0303]: acc-top1=45.237500 acc-top5=71.987500 Batch [0299]/[0303]: acc-top1=45.463542 acc-top5=72.317708 [Epoch 091] training: accuracy=46.154837 loss=2.316767 [Epoch 091] speed: 61 samples/sec time cost: 4221.062574 [Epoch 091] validation: acc-top1=45.405322 acc-top5=72.266914 loss=2.554843 Epoch[092] Batch [0049]/[3760] Speed: 41.186131 samples/sec accuracy=47.031250 loss=2.273931 lr=0.078698 Epoch[092] Batch [0099]/[3760] Speed: 59.319066 samples/sec accuracy=47.109375 loss=2.268702 lr=0.078685 Epoch[092] Batch [0149]/[3760] Speed: 61.218116 samples/sec accuracy=46.833333 loss=2.270509 lr=0.078672 Epoch[092] Batch [0199]/[3760] Speed: 60.621001 samples/sec accuracy=46.882812 loss=2.283068 lr=0.078660 Epoch[092] Batch [0249]/[3760] Speed: 61.954487 samples/sec accuracy=47.187500 loss=2.275497 lr=0.078647 Epoch[092] Batch [0299]/[3760] Speed: 60.602962 samples/sec accuracy=47.281250 loss=2.275653 lr=0.078634 Epoch[092] Batch [0349]/[3760] Speed: 62.303023 samples/sec accuracy=46.883929 loss=2.285158 lr=0.078621 Epoch[092] Batch [0399]/[3760] Speed: 60.882139 samples/sec accuracy=46.609375 loss=2.292919 lr=0.078608 Epoch[092] Batch 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accuracy=46.335379 loss=2.311447 lr=0.077991 Epoch[092] Batch [2849]/[3760] Speed: 60.697963 samples/sec accuracy=46.338268 loss=2.311280 lr=0.077979 Epoch[092] Batch [2899]/[3760] Speed: 62.490320 samples/sec accuracy=46.361530 loss=2.310300 lr=0.077966 Epoch[092] Batch [2949]/[3760] Speed: 61.938212 samples/sec accuracy=46.361758 loss=2.311116 lr=0.077953 Epoch[092] Batch [2999]/[3760] Speed: 61.853170 samples/sec accuracy=46.348958 loss=2.311933 lr=0.077940 Epoch[092] Batch [3049]/[3760] Speed: 61.692662 samples/sec accuracy=46.347336 loss=2.311989 lr=0.077927 Epoch[092] Batch [3099]/[3760] Speed: 61.580308 samples/sec accuracy=46.330645 loss=2.312583 lr=0.077914 Epoch[092] Batch [3149]/[3760] Speed: 61.889815 samples/sec accuracy=46.323909 loss=2.312769 lr=0.077901 Epoch[092] Batch [3199]/[3760] Speed: 61.726204 samples/sec accuracy=46.324219 loss=2.312639 lr=0.077888 Epoch[092] Batch [3249]/[3760] Speed: 61.778127 samples/sec accuracy=46.325000 loss=2.312510 lr=0.077875 Epoch[092] 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accuracy=46.324583 loss=2.313642 lr=0.077746 Batch [0049]/[0303]: acc-top1=45.500000 acc-top5=71.406250 Batch [0099]/[0303]: acc-top1=45.687500 acc-top5=71.890625 Batch [0149]/[0303]: acc-top1=45.062500 acc-top5=71.562500 Batch [0199]/[0303]: acc-top1=45.312500 acc-top5=71.679688 Batch [0249]/[0303]: acc-top1=44.862500 acc-top5=71.443750 Batch [0299]/[0303]: acc-top1=45.010417 acc-top5=71.817708 [Epoch 092] training: accuracy=46.319398 loss=2.313906 [Epoch 092] speed: 61 samples/sec time cost: 4221.283171 [Epoch 092] validation: acc-top1=44.977310 acc-top5=71.782178 loss=2.642645 Epoch[093] Batch [0049]/[3759] Speed: 40.835291 samples/sec accuracy=46.843750 loss=2.270626 lr=0.077731 Epoch[093] Batch [0099]/[3759] Speed: 59.689432 samples/sec accuracy=46.546875 loss=2.294666 lr=0.077718 Epoch[093] Batch [0149]/[3759] Speed: 61.081936 samples/sec accuracy=46.479167 loss=2.290168 lr=0.077705 Epoch[093] Batch [0199]/[3759] Speed: 59.490831 samples/sec accuracy=46.453125 loss=2.309501 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lr=0.076953 Epoch[093] Batch [3099]/[3759] Speed: 61.562014 samples/sec accuracy=46.506552 loss=2.303203 lr=0.076940 Epoch[093] Batch [3149]/[3759] Speed: 62.020219 samples/sec accuracy=46.504464 loss=2.303367 lr=0.076927 Epoch[093] Batch [3199]/[3759] Speed: 61.678524 samples/sec accuracy=46.506836 loss=2.302966 lr=0.076914 Epoch[093] Batch [3249]/[3759] Speed: 61.544176 samples/sec accuracy=46.513942 loss=2.303093 lr=0.076901 Epoch[093] Batch [3299]/[3759] Speed: 61.624672 samples/sec accuracy=46.488163 loss=2.303321 lr=0.076888 Epoch[093] Batch [3349]/[3759] Speed: 61.527663 samples/sec accuracy=46.494403 loss=2.303361 lr=0.076875 Epoch[093] Batch [3399]/[3759] Speed: 61.717611 samples/sec accuracy=46.481158 loss=2.303845 lr=0.076862 Epoch[093] Batch [3449]/[3759] Speed: 61.882474 samples/sec accuracy=46.494112 loss=2.303346 lr=0.076849 Epoch[093] Batch [3499]/[3759] Speed: 61.957629 samples/sec accuracy=46.498661 loss=2.303483 lr=0.076836 Epoch[093] Batch [3549]/[3759] Speed: 61.393634 samples/sec accuracy=46.488116 loss=2.303962 lr=0.076823 Epoch[093] Batch [3599]/[3759] Speed: 62.390233 samples/sec accuracy=46.488715 loss=2.304169 lr=0.076810 Epoch[093] Batch [3649]/[3759] Speed: 62.151863 samples/sec accuracy=46.481164 loss=2.304426 lr=0.076797 Epoch[093] Batch [3699]/[3759] Speed: 60.935702 samples/sec accuracy=46.450169 loss=2.305875 lr=0.076784 Epoch[093] Batch [3749]/[3759] Speed: 67.974389 samples/sec accuracy=46.449167 loss=2.305909 lr=0.076771 Batch [0049]/[0303]: acc-top1=44.968750 acc-top5=71.750000 Batch [0099]/[0303]: acc-top1=45.625000 acc-top5=72.437500 Batch [0149]/[0303]: acc-top1=45.562500 acc-top5=72.416667 Batch [0199]/[0303]: acc-top1=45.750000 acc-top5=72.429688 Batch [0249]/[0303]: acc-top1=45.462500 acc-top5=72.181250 Batch [0299]/[0303]: acc-top1=45.666667 acc-top5=72.463542 [Epoch 093] training: accuracy=46.448524 loss=2.305949 [Epoch 093] speed: 61 samples/sec time cost: 4222.251157 [Epoch 093] validation: acc-top1=45.668317 acc-top5=72.457715 loss=2.560143 Epoch[094] Batch [0049]/[3760] Speed: 41.510146 samples/sec accuracy=48.031250 loss=2.263002 lr=0.076755 Epoch[094] Batch [0099]/[3760] Speed: 59.103465 samples/sec accuracy=47.171875 loss=2.281369 lr=0.076742 Epoch[094] Batch [0149]/[3760] Speed: 61.550077 samples/sec accuracy=47.218750 loss=2.274145 lr=0.076729 Epoch[094] Batch [0199]/[3760] Speed: 60.605359 samples/sec accuracy=47.078125 loss=2.281833 lr=0.076716 Epoch[094] Batch [0249]/[3760] Speed: 61.774408 samples/sec accuracy=46.956250 loss=2.292965 lr=0.076703 Epoch[094] Batch [0299]/[3760] Speed: 61.170945 samples/sec accuracy=46.932292 loss=2.293040 lr=0.076690 Epoch[094] Batch [0349]/[3760] Speed: 62.202656 samples/sec accuracy=46.852679 loss=2.292221 lr=0.076677 Epoch[094] Batch [0399]/[3760] Speed: 61.001499 samples/sec accuracy=47.003906 loss=2.286660 lr=0.076664 Epoch[094] Batch [0449]/[3760] Speed: 62.413452 samples/sec accuracy=47.083333 loss=2.284111 lr=0.076651 Epoch[094] Batch 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accuracy=46.605811 loss=2.298158 lr=0.076023 Epoch[094] Batch [2899]/[3760] Speed: 61.514413 samples/sec accuracy=46.626078 loss=2.297966 lr=0.076010 Epoch[094] Batch [2949]/[3760] Speed: 62.210161 samples/sec accuracy=46.629767 loss=2.298219 lr=0.075997 Epoch[094] Batch [2999]/[3760] Speed: 62.014703 samples/sec accuracy=46.631250 loss=2.297812 lr=0.075984 Epoch[094] Batch [3049]/[3760] Speed: 61.356777 samples/sec accuracy=46.612193 loss=2.299334 lr=0.075971 Epoch[094] Batch [3099]/[3760] Speed: 61.670970 samples/sec accuracy=46.583165 loss=2.300184 lr=0.075958 Epoch[094] Batch [3149]/[3760] Speed: 61.683244 samples/sec accuracy=46.572421 loss=2.300931 lr=0.075945 Epoch[094] Batch [3199]/[3760] Speed: 61.353844 samples/sec accuracy=46.559082 loss=2.301257 lr=0.075932 Epoch[094] Batch [3249]/[3760] Speed: 62.259765 samples/sec accuracy=46.561538 loss=2.300943 lr=0.075919 Epoch[094] Batch [3299]/[3760] Speed: 61.481075 samples/sec accuracy=46.566288 loss=2.301365 lr=0.075905 Epoch[094] 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[0099]/[0303]: acc-top1=48.375000 acc-top5=73.656250 Batch [0149]/[0303]: acc-top1=47.593750 acc-top5=73.500000 Batch [0199]/[0303]: acc-top1=47.562500 acc-top5=73.515625 Batch [0249]/[0303]: acc-top1=47.237500 acc-top5=73.293750 Batch [0299]/[0303]: acc-top1=47.489583 acc-top5=73.463542 [Epoch 094] training: accuracy=46.536320 loss=2.303453 [Epoch 094] speed: 61 samples/sec time cost: 4219.889333 [Epoch 094] validation: acc-top1=47.452558 acc-top5=73.411716 loss=2.486286 Epoch[095] Batch [0049]/[3760] Speed: 41.807867 samples/sec accuracy=48.500000 loss=2.221267 lr=0.075771 Epoch[095] Batch [0099]/[3760] Speed: 60.198542 samples/sec accuracy=47.671875 loss=2.252109 lr=0.075758 Epoch[095] Batch [0149]/[3760] Speed: 60.893946 samples/sec accuracy=47.781250 loss=2.237911 lr=0.075745 Epoch[095] Batch [0199]/[3760] Speed: 60.832622 samples/sec accuracy=47.734375 loss=2.237171 lr=0.075732 Epoch[095] Batch [0249]/[3760] Speed: 61.370399 samples/sec accuracy=47.450000 loss=2.248999 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lr=0.074968 Epoch[095] Batch [3149]/[3760] Speed: 62.150795 samples/sec accuracy=46.752976 loss=2.292769 lr=0.074954 Epoch[095] Batch [3199]/[3760] Speed: 61.492002 samples/sec accuracy=46.764648 loss=2.292826 lr=0.074941 Epoch[095] Batch [3249]/[3760] Speed: 62.570072 samples/sec accuracy=46.762019 loss=2.293136 lr=0.074928 Epoch[095] Batch [3299]/[3760] Speed: 61.600695 samples/sec accuracy=46.760417 loss=2.292861 lr=0.074915 Epoch[095] Batch [3349]/[3760] Speed: 61.725339 samples/sec accuracy=46.744869 loss=2.292853 lr=0.074901 Epoch[095] Batch [3399]/[3760] Speed: 61.869663 samples/sec accuracy=46.743107 loss=2.293128 lr=0.074888 Epoch[095] Batch [3449]/[3760] Speed: 61.617793 samples/sec accuracy=46.753170 loss=2.292402 lr=0.074875 Epoch[095] Batch [3499]/[3760] Speed: 61.185117 samples/sec accuracy=46.750446 loss=2.292348 lr=0.074862 Epoch[095] Batch [3549]/[3760] Speed: 62.364275 samples/sec accuracy=46.742518 loss=2.292524 lr=0.074849 Epoch[095] Batch [3599]/[3760] Speed: 61.854747 samples/sec accuracy=46.767795 loss=2.291710 lr=0.074835 Epoch[095] Batch [3649]/[3760] Speed: 60.976233 samples/sec accuracy=46.758134 loss=2.291698 lr=0.074822 Epoch[095] Batch [3699]/[3760] Speed: 62.949775 samples/sec accuracy=46.747466 loss=2.291678 lr=0.074809 Epoch[095] Batch [3749]/[3760] Speed: 66.678200 samples/sec accuracy=46.758750 loss=2.291010 lr=0.074796 Batch [0049]/[0303]: acc-top1=43.687500 acc-top5=71.843750 Batch [0099]/[0303]: acc-top1=44.859375 acc-top5=72.484375 Batch [0149]/[0303]: acc-top1=44.520833 acc-top5=72.187500 Batch [0199]/[0303]: acc-top1=44.789062 acc-top5=72.179688 Batch [0249]/[0303]: acc-top1=44.581250 acc-top5=71.756250 Batch [0299]/[0303]: acc-top1=44.911458 acc-top5=71.848958 [Epoch 095] training: accuracy=46.766124 loss=2.291008 [Epoch 095] speed: 61 samples/sec time cost: 4215.887898 [Epoch 095] validation: acc-top1=44.884488 acc-top5=71.833746 loss=2.634301 Epoch[096] Batch [0049]/[3759] Speed: 41.449262 samples/sec 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accuracy=47.475000 loss=2.264007 lr=0.074528 Epoch[096] Batch [1049]/[3759] Speed: 61.910812 samples/sec accuracy=47.404762 loss=2.265124 lr=0.074515 Epoch[096] Batch [1099]/[3759] Speed: 61.677256 samples/sec accuracy=47.376420 loss=2.267159 lr=0.074501 Epoch[096] Batch [1149]/[3759] Speed: 60.388973 samples/sec accuracy=47.427989 loss=2.264463 lr=0.074488 Epoch[096] Batch [1199]/[3759] Speed: 62.984306 samples/sec accuracy=47.434896 loss=2.264286 lr=0.074475 Epoch[096] Batch [1249]/[3759] Speed: 60.940687 samples/sec accuracy=47.423750 loss=2.264449 lr=0.074462 Epoch[096] Batch [1299]/[3759] Speed: 61.785961 samples/sec accuracy=47.389423 loss=2.265256 lr=0.074448 Epoch[096] Batch [1349]/[3759] Speed: 61.050151 samples/sec accuracy=47.370370 loss=2.265182 lr=0.074435 Epoch[096] Batch [1399]/[3759] Speed: 61.420691 samples/sec accuracy=47.382812 loss=2.265334 lr=0.074422 Epoch[096] Batch [1449]/[3759] Speed: 61.679765 samples/sec accuracy=47.406250 loss=2.265705 lr=0.074409 Epoch[096] 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accuracy=46.933190 loss=2.281209 lr=0.074023 Epoch[096] Batch [2949]/[3759] Speed: 62.355855 samples/sec accuracy=46.924788 loss=2.281154 lr=0.074010 Epoch[096] Batch [2999]/[3759] Speed: 61.497327 samples/sec accuracy=46.913542 loss=2.281407 lr=0.073996 Epoch[096] Batch [3049]/[3759] Speed: 61.269627 samples/sec accuracy=46.904201 loss=2.281629 lr=0.073983 Epoch[096] Batch [3099]/[3759] Speed: 62.256748 samples/sec accuracy=46.910786 loss=2.280894 lr=0.073970 Epoch[096] Batch [3149]/[3759] Speed: 61.623259 samples/sec accuracy=46.920139 loss=2.280205 lr=0.073957 Epoch[096] Batch [3199]/[3759] Speed: 62.107076 samples/sec accuracy=46.922363 loss=2.280063 lr=0.073943 Epoch[096] Batch [3249]/[3759] Speed: 61.244103 samples/sec accuracy=46.934615 loss=2.279721 lr=0.073930 Epoch[096] Batch [3299]/[3759] Speed: 62.088226 samples/sec accuracy=46.903409 loss=2.280736 lr=0.073917 Epoch[096] Batch [3349]/[3759] Speed: 62.223266 samples/sec accuracy=46.900187 loss=2.281303 lr=0.073903 Epoch[096] Batch [3399]/[3759] Speed: 61.563959 samples/sec accuracy=46.905790 loss=2.281415 lr=0.073890 Epoch[096] Batch [3449]/[3759] Speed: 61.379536 samples/sec accuracy=46.897192 loss=2.281950 lr=0.073877 Epoch[096] Batch [3499]/[3759] Speed: 62.129291 samples/sec accuracy=46.878571 loss=2.281880 lr=0.073863 Epoch[096] Batch [3549]/[3759] Speed: 61.178542 samples/sec accuracy=46.892165 loss=2.281147 lr=0.073850 Epoch[096] Batch [3599]/[3759] Speed: 62.051739 samples/sec accuracy=46.917101 loss=2.280534 lr=0.073837 Epoch[096] Batch [3649]/[3759] Speed: 62.026952 samples/sec accuracy=46.903682 loss=2.280804 lr=0.073823 Epoch[096] Batch [3699]/[3759] Speed: 61.469296 samples/sec accuracy=46.879223 loss=2.282571 lr=0.073810 Epoch[096] Batch [3749]/[3759] Speed: 67.157683 samples/sec accuracy=46.888750 loss=2.282507 lr=0.073797 Batch [0049]/[0303]: acc-top1=43.093750 acc-top5=70.625000 Batch [0099]/[0303]: acc-top1=44.750000 acc-top5=71.156250 Batch [0149]/[0303]: acc-top1=44.552083 acc-top5=71.135417 Batch [0199]/[0303]: acc-top1=44.750000 acc-top5=71.359375 Batch [0249]/[0303]: acc-top1=44.612500 acc-top5=71.162500 Batch [0299]/[0303]: acc-top1=45.083333 acc-top5=71.593750 [Epoch 096] training: accuracy=46.888301 loss=2.282548 [Epoch 096] speed: 61 samples/sec time cost: 4222.764535 [Epoch 096] validation: acc-top1=45.018564 acc-top5=71.550124 loss=2.627877 Epoch[097] Batch [0049]/[3760] Speed: 41.772599 samples/sec accuracy=48.500000 loss=2.252937 lr=0.073781 Epoch[097] Batch [0099]/[3760] Speed: 59.538959 samples/sec accuracy=47.921875 loss=2.233424 lr=0.073768 Epoch[097] Batch [0149]/[3760] Speed: 61.182032 samples/sec accuracy=47.541667 loss=2.246869 lr=0.073754 Epoch[097] Batch [0199]/[3760] Speed: 60.778058 samples/sec accuracy=47.312500 loss=2.249797 lr=0.073741 Epoch[097] Batch [0249]/[3760] Speed: 61.499820 samples/sec accuracy=47.206250 loss=2.243043 lr=0.073728 Epoch[097] Batch [0299]/[3760] Speed: 61.370014 samples/sec accuracy=47.093750 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accuracy=47.421250 loss=2.259104 lr=0.073460 Epoch[097] Batch [1299]/[3760] Speed: 61.987603 samples/sec accuracy=47.354567 loss=2.260629 lr=0.073447 Epoch[097] Batch [1349]/[3760] Speed: 61.663907 samples/sec accuracy=47.348380 loss=2.261845 lr=0.073434 Epoch[097] Batch [1399]/[3760] Speed: 61.729185 samples/sec accuracy=47.275670 loss=2.264124 lr=0.073420 Epoch[097] Batch [1449]/[3760] Speed: 61.955826 samples/sec accuracy=47.232759 loss=2.266963 lr=0.073407 Epoch[097] Batch [1499]/[3760] Speed: 61.870114 samples/sec accuracy=47.212500 loss=2.266758 lr=0.073394 Epoch[097] Batch [1549]/[3760] Speed: 61.058089 samples/sec accuracy=47.270161 loss=2.264980 lr=0.073380 Epoch[097] Batch [1599]/[3760] Speed: 62.173438 samples/sec accuracy=47.242188 loss=2.265408 lr=0.073367 Epoch[097] Batch [1649]/[3760] Speed: 62.152897 samples/sec accuracy=47.180871 loss=2.266684 lr=0.073354 Epoch[097] Batch [1699]/[3760] Speed: 61.418278 samples/sec accuracy=47.113971 loss=2.268145 lr=0.073340 Epoch[097] 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accuracy=47.023438 loss=2.272544 lr=0.073206 Epoch[097] Batch [2249]/[3760] Speed: 61.976970 samples/sec accuracy=46.994444 loss=2.274037 lr=0.073193 Epoch[097] Batch [2299]/[3760] Speed: 62.158625 samples/sec accuracy=46.973505 loss=2.274850 lr=0.073180 Epoch[097] Batch [2349]/[3760] Speed: 61.191968 samples/sec accuracy=46.967420 loss=2.274978 lr=0.073166 Epoch[097] Batch [2399]/[3760] Speed: 62.358260 samples/sec accuracy=46.956380 loss=2.275211 lr=0.073153 Epoch[097] Batch [2449]/[3760] Speed: 61.592746 samples/sec accuracy=46.963648 loss=2.274157 lr=0.073139 Epoch[097] Batch [2499]/[3760] Speed: 61.536295 samples/sec accuracy=46.960625 loss=2.274712 lr=0.073126 Epoch[097] Batch [2549]/[3760] Speed: 61.851710 samples/sec accuracy=46.989583 loss=2.272801 lr=0.073113 Epoch[097] Batch [2599]/[3760] Speed: 62.023147 samples/sec accuracy=46.997596 loss=2.272485 lr=0.073099 Epoch[097] Batch [2649]/[3760] Speed: 61.478786 samples/sec accuracy=47.009434 loss=2.273051 lr=0.073086 Epoch[097] 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accuracy=47.079861 loss=2.274647 lr=0.072952 Epoch[097] Batch [3199]/[3760] Speed: 61.849409 samples/sec accuracy=47.125977 loss=2.273801 lr=0.072938 Epoch[097] Batch [3249]/[3760] Speed: 61.878673 samples/sec accuracy=47.111538 loss=2.274930 lr=0.072925 Epoch[097] Batch [3299]/[3760] Speed: 61.781330 samples/sec accuracy=47.110795 loss=2.275418 lr=0.072912 Epoch[097] Batch [3349]/[3760] Speed: 62.224559 samples/sec accuracy=47.079291 loss=2.275774 lr=0.072898 Epoch[097] Batch [3399]/[3760] Speed: 61.923163 samples/sec accuracy=47.086857 loss=2.275400 lr=0.072885 Epoch[097] Batch [3449]/[3760] Speed: 61.524750 samples/sec accuracy=47.091033 loss=2.275879 lr=0.072871 Epoch[097] Batch [3499]/[3760] Speed: 61.658470 samples/sec accuracy=47.075000 loss=2.276473 lr=0.072858 Epoch[097] Batch [3549]/[3760] Speed: 61.672360 samples/sec accuracy=47.073504 loss=2.276058 lr=0.072844 Epoch[097] Batch [3599]/[3760] Speed: 61.081640 samples/sec accuracy=47.075955 loss=2.275768 lr=0.072831 Epoch[097] Batch [3649]/[3760] Speed: 62.587887 samples/sec accuracy=47.069349 loss=2.275949 lr=0.072818 Epoch[097] Batch [3699]/[3760] Speed: 61.510547 samples/sec accuracy=47.066301 loss=2.276005 lr=0.072804 Epoch[097] Batch [3749]/[3760] Speed: 66.506079 samples/sec accuracy=47.060000 loss=2.276215 lr=0.072791 Batch [0049]/[0303]: acc-top1=47.000000 acc-top5=73.000000 Batch [0099]/[0303]: acc-top1=47.234375 acc-top5=73.671875 Batch [0149]/[0303]: acc-top1=46.656250 acc-top5=72.875000 Batch [0199]/[0303]: acc-top1=47.023438 acc-top5=73.281250 Batch [0249]/[0303]: acc-top1=46.618750 acc-top5=73.125000 Batch [0299]/[0303]: acc-top1=46.947917 acc-top5=73.380208 [Epoch 097] training: accuracy=47.054521 loss=2.276264 [Epoch 097] speed: 61 samples/sec time cost: 4217.896077 [Epoch 097] validation: acc-top1=46.931724 acc-top5=73.329208 loss=2.493388 Epoch[098] Batch [0049]/[3759] Speed: 40.974077 samples/sec accuracy=47.750000 loss=2.223324 lr=0.072775 Epoch[098] Batch [0099]/[3759] Speed: 59.512923 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lr=0.071873 Epoch[098] Batch [3449]/[3759] Speed: 62.373426 samples/sec accuracy=47.173913 loss=2.262742 lr=0.071859 Epoch[098] Batch [3499]/[3759] Speed: 61.461367 samples/sec accuracy=47.159821 loss=2.263338 lr=0.071846 Epoch[098] Batch [3549]/[3759] Speed: 61.905570 samples/sec accuracy=47.154049 loss=2.263753 lr=0.071832 Epoch[098] Batch [3599]/[3759] Speed: 61.906654 samples/sec accuracy=47.151910 loss=2.264232 lr=0.071818 Epoch[098] Batch [3649]/[3759] Speed: 61.516865 samples/sec accuracy=47.145548 loss=2.264579 lr=0.071805 Epoch[098] Batch [3699]/[3759] Speed: 61.549222 samples/sec accuracy=47.139358 loss=2.265166 lr=0.071791 Epoch[098] Batch [3749]/[3759] Speed: 67.880126 samples/sec accuracy=47.135000 loss=2.265198 lr=0.071778 Batch [0049]/[0303]: acc-top1=45.750000 acc-top5=72.875000 Batch [0099]/[0303]: acc-top1=46.734375 acc-top5=73.500000 Batch [0149]/[0303]: acc-top1=46.343750 acc-top5=73.333333 Batch [0199]/[0303]: acc-top1=46.234375 acc-top5=73.093750 Batch [0249]/[0303]: acc-top1=45.962500 acc-top5=72.956250 Batch [0299]/[0303]: acc-top1=46.203125 acc-top5=73.104167 [Epoch 098] training: accuracy=47.132715 loss=2.265496 [Epoch 098] speed: 61 samples/sec time cost: 4218.582782 [Epoch 098] validation: acc-top1=46.132426 acc-top5=73.040429 loss=2.545359 Epoch[099] Batch [0049]/[3760] Speed: 41.203025 samples/sec accuracy=48.406250 loss=2.194384 lr=0.071762 Epoch[099] Batch [0099]/[3760] Speed: 59.170309 samples/sec accuracy=48.187500 loss=2.213439 lr=0.071749 Epoch[099] Batch [0149]/[3760] Speed: 61.929690 samples/sec accuracy=48.072917 loss=2.222753 lr=0.071735 Epoch[099] Batch [0199]/[3760] Speed: 60.806392 samples/sec accuracy=47.945312 loss=2.234639 lr=0.071721 Epoch[099] Batch [0249]/[3760] Speed: 62.091034 samples/sec accuracy=47.737500 loss=2.241229 lr=0.071708 Epoch[099] Batch [0299]/[3760] Speed: 61.116398 samples/sec accuracy=47.703125 loss=2.244782 lr=0.071694 Epoch[099] Batch [0349]/[3760] Speed: 62.056381 samples/sec 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accuracy=47.748798 loss=2.245871 lr=0.071424 Epoch[099] Batch [1349]/[3760] Speed: 62.268996 samples/sec accuracy=47.760417 loss=2.245933 lr=0.071410 Epoch[099] Batch [1399]/[3760] Speed: 61.106751 samples/sec accuracy=47.771205 loss=2.246841 lr=0.071397 Epoch[099] Batch [1449]/[3760] Speed: 62.705388 samples/sec accuracy=47.702586 loss=2.249605 lr=0.071383 Epoch[099] Batch [1499]/[3760] Speed: 61.650891 samples/sec accuracy=47.728125 loss=2.248467 lr=0.071370 Epoch[099] Batch [1549]/[3760] Speed: 62.189180 samples/sec accuracy=47.714718 loss=2.249389 lr=0.071356 Epoch[099] Batch [1599]/[3760] Speed: 61.275279 samples/sec accuracy=47.729492 loss=2.248671 lr=0.071343 Epoch[099] Batch [1649]/[3760] Speed: 62.299358 samples/sec accuracy=47.724432 loss=2.248383 lr=0.071329 Epoch[099] Batch [1699]/[3760] Speed: 61.562557 samples/sec accuracy=47.704963 loss=2.249947 lr=0.071316 Epoch[099] Batch [1749]/[3760] Speed: 61.583721 samples/sec accuracy=47.659821 loss=2.250319 lr=0.071302 Epoch[099] 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accuracy=47.552083 loss=2.255662 lr=0.071166 Epoch[099] Batch [2299]/[3760] Speed: 62.426687 samples/sec accuracy=47.525815 loss=2.256942 lr=0.071153 Epoch[099] Batch [2349]/[3760] Speed: 61.472027 samples/sec accuracy=47.527926 loss=2.257047 lr=0.071139 Epoch[099] Batch [2399]/[3760] Speed: 61.830743 samples/sec accuracy=47.516927 loss=2.257487 lr=0.071126 Epoch[099] Batch [2449]/[3760] Speed: 62.053638 samples/sec accuracy=47.498724 loss=2.257645 lr=0.071112 Epoch[099] Batch [2499]/[3760] Speed: 62.071177 samples/sec accuracy=47.490625 loss=2.258065 lr=0.071099 Epoch[099] Batch [2549]/[3760] Speed: 61.676764 samples/sec accuracy=47.475490 loss=2.258308 lr=0.071085 Epoch[099] Batch [2599]/[3760] Speed: 62.177968 samples/sec accuracy=47.476562 loss=2.257537 lr=0.071071 Epoch[099] Batch [2649]/[3760] Speed: 62.008580 samples/sec accuracy=47.478184 loss=2.257564 lr=0.071058 Epoch[099] Batch [2699]/[3760] Speed: 61.312156 samples/sec accuracy=47.473380 loss=2.257568 lr=0.071044 Epoch[099] 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accuracy=47.368652 loss=2.263724 lr=0.070909 Epoch[099] Batch [3249]/[3760] Speed: 62.025546 samples/sec accuracy=47.381250 loss=2.263579 lr=0.070895 Epoch[099] Batch [3299]/[3760] Speed: 62.050565 samples/sec accuracy=47.399621 loss=2.262661 lr=0.070881 Epoch[099] Batch [3349]/[3760] Speed: 61.272873 samples/sec accuracy=47.390392 loss=2.262877 lr=0.070868 Epoch[099] Batch [3399]/[3760] Speed: 62.391227 samples/sec accuracy=47.375460 loss=2.262864 lr=0.070854 Epoch[099] Batch [3449]/[3760] Speed: 61.508949 samples/sec accuracy=47.367754 loss=2.263768 lr=0.070841 Epoch[099] Batch [3499]/[3760] Speed: 61.808208 samples/sec accuracy=47.391518 loss=2.263574 lr=0.070827 Epoch[099] Batch [3549]/[3760] Speed: 61.475080 samples/sec accuracy=47.391285 loss=2.263201 lr=0.070813 Epoch[099] Batch [3599]/[3760] Speed: 62.448940 samples/sec accuracy=47.379774 loss=2.263934 lr=0.070800 Epoch[099] Batch [3649]/[3760] Speed: 61.883615 samples/sec accuracy=47.358733 loss=2.264886 lr=0.070786 Epoch[099] Batch [3699]/[3760] Speed: 61.446205 samples/sec accuracy=47.360642 loss=2.264255 lr=0.070773 Epoch[099] Batch [3749]/[3760] Speed: 67.039053 samples/sec accuracy=47.365833 loss=2.263970 lr=0.070759 Batch [0049]/[0303]: acc-top1=45.500000 acc-top5=72.218750 Batch [0099]/[0303]: acc-top1=46.531250 acc-top5=72.765625 Batch [0149]/[0303]: acc-top1=46.802083 acc-top5=72.677083 Batch [0199]/[0303]: acc-top1=46.953125 acc-top5=72.890625 Batch [0249]/[0303]: acc-top1=46.431250 acc-top5=72.818750 Batch [0299]/[0303]: acc-top1=46.609375 acc-top5=73.125000 [Epoch 099] training: accuracy=47.366606 loss=2.263774 [Epoch 099] speed: 61 samples/sec time cost: 4211.899638 [Epoch 099] validation: acc-top1=46.560437 acc-top5=73.086840 loss=2.527352 Epoch[100] Batch [0049]/[3760] Speed: 41.179545 samples/sec accuracy=47.562500 loss=2.234512 lr=0.070743 Epoch[100] Batch [0099]/[3760] Speed: 59.882053 samples/sec accuracy=47.468750 loss=2.217070 lr=0.070729 Epoch[100] Batch [0149]/[3760] Speed: 61.286460 samples/sec accuracy=47.687500 loss=2.228548 lr=0.070716 Epoch[100] Batch [0199]/[3760] Speed: 61.409432 samples/sec accuracy=48.023438 loss=2.226335 lr=0.070702 Epoch[100] Batch [0249]/[3760] Speed: 61.203295 samples/sec accuracy=48.018750 loss=2.224982 lr=0.070688 Epoch[100] Batch [0299]/[3760] Speed: 61.271915 samples/sec accuracy=48.151042 loss=2.226710 lr=0.070675 Epoch[100] Batch [0349]/[3760] Speed: 62.199275 samples/sec accuracy=47.941964 loss=2.235679 lr=0.070661 Epoch[100] Batch [0399]/[3760] Speed: 61.305475 samples/sec accuracy=47.882812 loss=2.237194 lr=0.070648 Epoch[100] Batch [0449]/[3760] Speed: 61.789516 samples/sec accuracy=47.930556 loss=2.234750 lr=0.070634 Epoch[100] Batch [0499]/[3760] Speed: 62.217519 samples/sec accuracy=47.950000 loss=2.232109 lr=0.070620 Epoch[100] Batch [0549]/[3760] Speed: 61.848430 samples/sec accuracy=47.965909 loss=2.227528 lr=0.070607 Epoch[100] Batch [0599]/[3760] Speed: 61.426041 samples/sec accuracy=47.960938 loss=2.228879 lr=0.070593 Epoch[100] Batch [0649]/[3760] Speed: 62.472786 samples/sec accuracy=47.795673 loss=2.235117 lr=0.070580 Epoch[100] Batch [0699]/[3760] Speed: 61.367236 samples/sec accuracy=47.792411 loss=2.237187 lr=0.070566 Epoch[100] Batch [0749]/[3760] Speed: 61.819402 samples/sec accuracy=47.704167 loss=2.241142 lr=0.070552 Epoch[100] Batch [0799]/[3760] Speed: 62.178438 samples/sec accuracy=47.750000 loss=2.241627 lr=0.070539 Epoch[100] Batch [0849]/[3760] Speed: 61.928556 samples/sec accuracy=47.764706 loss=2.239573 lr=0.070525 Epoch[100] Batch [0899]/[3760] Speed: 61.481609 samples/sec accuracy=47.730903 loss=2.238690 lr=0.070512 Epoch[100] Batch [0949]/[3760] Speed: 62.403417 samples/sec accuracy=47.646382 loss=2.239095 lr=0.070498 Epoch[100] Batch [0999]/[3760] Speed: 61.882177 samples/sec accuracy=47.595312 loss=2.240624 lr=0.070484 Epoch[100] Batch [1049]/[3760] Speed: 62.517853 samples/sec accuracy=47.608631 loss=2.239877 lr=0.070471 Epoch[100] Batch [1099]/[3760] Speed: 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lr=0.070335 Epoch[100] Batch [1599]/[3760] Speed: 62.603468 samples/sec accuracy=47.634766 loss=2.241315 lr=0.070321 Epoch[100] Batch [1649]/[3760] Speed: 61.342289 samples/sec accuracy=47.616477 loss=2.241308 lr=0.070307 Epoch[100] Batch [1699]/[3760] Speed: 62.232575 samples/sec accuracy=47.663603 loss=2.239108 lr=0.070294 Epoch[100] Batch [1749]/[3760] Speed: 61.898585 samples/sec accuracy=47.658036 loss=2.240461 lr=0.070280 Epoch[100] Batch [1799]/[3760] Speed: 62.033752 samples/sec accuracy=47.635417 loss=2.240964 lr=0.070266 Epoch[100] Batch [1849]/[3760] Speed: 62.230262 samples/sec accuracy=47.618243 loss=2.242437 lr=0.070253 Epoch[100] Batch [1899]/[3760] Speed: 61.535800 samples/sec accuracy=47.615132 loss=2.241847 lr=0.070239 Epoch[100] Batch [1949]/[3760] Speed: 62.049478 samples/sec accuracy=47.585737 loss=2.243308 lr=0.070226 Epoch[100] Batch [1999]/[3760] Speed: 62.287666 samples/sec accuracy=47.597656 loss=2.243652 lr=0.070212 Epoch[100] Batch [2049]/[3760] Speed: 61.455140 samples/sec accuracy=47.596799 loss=2.243962 lr=0.070198 Epoch[100] Batch [2099]/[3760] Speed: 61.949052 samples/sec accuracy=47.593006 loss=2.244016 lr=0.070185 Epoch[100] Batch [2149]/[3760] Speed: 62.383916 samples/sec accuracy=47.577762 loss=2.244976 lr=0.070171 Epoch[100] Batch [2199]/[3760] Speed: 61.578754 samples/sec accuracy=47.549716 loss=2.246057 lr=0.070157 Epoch[100] Batch [2249]/[3760] Speed: 61.789532 samples/sec accuracy=47.547917 loss=2.245378 lr=0.070144 Epoch[100] Batch [2299]/[3760] Speed: 62.178531 samples/sec accuracy=47.542120 loss=2.246034 lr=0.070130 Epoch[100] Batch [2349]/[3760] Speed: 62.246551 samples/sec accuracy=47.525266 loss=2.246577 lr=0.070116 Epoch[100] Batch [2399]/[3760] Speed: 61.854249 samples/sec accuracy=47.520833 loss=2.247175 lr=0.070103 Epoch[100] Batch [2449]/[3760] Speed: 61.933137 samples/sec accuracy=47.526786 loss=2.247317 lr=0.070089 Epoch[100] Batch [2499]/[3760] Speed: 61.937805 samples/sec accuracy=47.521250 loss=2.246726 lr=0.070075 Epoch[100] Batch [2549]/[3760] Speed: 61.424659 samples/sec accuracy=47.487745 loss=2.248501 lr=0.070062 Epoch[100] Batch [2599]/[3760] Speed: 62.070096 samples/sec accuracy=47.472957 loss=2.249219 lr=0.070048 Epoch[100] Batch [2649]/[3760] Speed: 61.765425 samples/sec accuracy=47.461675 loss=2.250022 lr=0.070035 Epoch[100] Batch [2699]/[3760] Speed: 61.544797 samples/sec accuracy=47.487269 loss=2.249399 lr=0.070021 Epoch[100] Batch [2749]/[3760] Speed: 62.108986 samples/sec accuracy=47.480114 loss=2.249988 lr=0.070007 Epoch[100] Batch [2799]/[3760] Speed: 62.235965 samples/sec accuracy=47.496652 loss=2.249841 lr=0.069994 Epoch[100] Batch [2849]/[3760] Speed: 62.115427 samples/sec accuracy=47.508772 loss=2.248514 lr=0.069980 Epoch[100] Batch [2899]/[3760] Speed: 61.625250 samples/sec accuracy=47.500539 loss=2.249156 lr=0.069966 Epoch[100] Batch [2949]/[3760] Speed: 61.677576 samples/sec accuracy=47.493114 loss=2.249275 lr=0.069953 Epoch[100] Batch [2999]/[3760] Speed: 61.967926 samples/sec accuracy=47.485937 loss=2.249723 lr=0.069939 Epoch[100] Batch [3049]/[3760] Speed: 61.714541 samples/sec accuracy=47.474898 loss=2.249612 lr=0.069925 Epoch[100] Batch [3099]/[3760] Speed: 61.966942 samples/sec accuracy=47.470766 loss=2.249328 lr=0.069912 Epoch[100] Batch [3149]/[3760] Speed: 61.881440 samples/sec accuracy=47.488095 loss=2.248699 lr=0.069898 Epoch[100] Batch [3199]/[3760] Speed: 61.456694 samples/sec accuracy=47.493164 loss=2.248942 lr=0.069884 Epoch[100] Batch [3249]/[3760] Speed: 62.837066 samples/sec accuracy=47.486058 loss=2.249861 lr=0.069871 Epoch[100] Batch [3299]/[3760] Speed: 61.853988 samples/sec accuracy=47.502841 loss=2.249697 lr=0.069857 Epoch[100] Batch [3349]/[3760] Speed: 62.493740 samples/sec accuracy=47.493470 loss=2.249936 lr=0.069843 Epoch[100] Batch [3399]/[3760] Speed: 61.714372 samples/sec accuracy=47.487592 loss=2.250758 lr=0.069830 Epoch[100] Batch [3449]/[3760] Speed: 62.175284 samples/sec accuracy=47.498188 loss=2.250720 lr=0.069816 Epoch[100] Batch [3499]/[3760] Speed: 62.025450 samples/sec accuracy=47.495089 loss=2.250374 lr=0.069802 Epoch[100] Batch [3549]/[3760] Speed: 61.426596 samples/sec accuracy=47.490757 loss=2.250554 lr=0.069789 Epoch[100] Batch [3599]/[3760] Speed: 61.946628 samples/sec accuracy=47.486979 loss=2.251073 lr=0.069775 Epoch[100] Batch [3649]/[3760] Speed: 62.264763 samples/sec accuracy=47.492723 loss=2.250727 lr=0.069761 Epoch[100] Batch [3699]/[3760] Speed: 61.606849 samples/sec accuracy=47.514780 loss=2.250192 lr=0.069748 Epoch[100] Batch [3749]/[3760] Speed: 66.774657 samples/sec accuracy=47.502917 loss=2.250993 lr=0.069734 Batch [0049]/[0303]: acc-top1=46.531250 acc-top5=72.687500 Batch [0099]/[0303]: acc-top1=47.562500 acc-top5=73.734375 Batch [0149]/[0303]: acc-top1=47.458333 acc-top5=73.562500 Batch [0199]/[0303]: acc-top1=47.578125 acc-top5=73.562500 Batch [0249]/[0303]: acc-top1=47.600000 acc-top5=73.493750 Batch [0299]/[0303]: acc-top1=47.848958 acc-top5=73.781250 [Epoch 100] training: accuracy=47.497922 loss=2.250901 [Epoch 100] speed: 61 samples/sec time cost: 4210.084866 [Epoch 100] validation: acc-top1=47.803218 acc-top5=73.710809 loss=2.498079 Epoch[101] Batch [0049]/[3759] Speed: 41.486886 samples/sec accuracy=49.281250 loss=2.164352 lr=0.069718 Epoch[101] Batch [0099]/[3759] Speed: 58.688717 samples/sec accuracy=48.343750 loss=2.205188 lr=0.069704 Epoch[101] Batch [0149]/[3759] Speed: 61.704128 samples/sec accuracy=48.843750 loss=2.193930 lr=0.069690 Epoch[101] Batch [0199]/[3759] Speed: 60.706210 samples/sec accuracy=48.593750 loss=2.204293 lr=0.069677 Epoch[101] Batch [0249]/[3759] Speed: 61.954054 samples/sec accuracy=48.518750 loss=2.207483 lr=0.069663 Epoch[101] Batch [0299]/[3759] Speed: 60.234121 samples/sec accuracy=48.807292 loss=2.194174 lr=0.069649 Epoch[101] Batch [0349]/[3759] Speed: 62.437348 samples/sec accuracy=48.794643 loss=2.200643 lr=0.069636 Epoch[101] Batch [0399]/[3759] Speed: 60.814171 samples/sec accuracy=48.769531 loss=2.202914 lr=0.069622 Epoch[101] Batch [0449]/[3759] Speed: 62.110000 samples/sec accuracy=48.708333 loss=2.206651 lr=0.069608 Epoch[101] Batch [0499]/[3759] Speed: 61.675830 samples/sec accuracy=48.640625 loss=2.208730 lr=0.069595 Epoch[101] Batch [0549]/[3759] Speed: 62.349265 samples/sec accuracy=48.477273 loss=2.213689 lr=0.069581 Epoch[101] Batch [0599]/[3759] Speed: 61.416437 samples/sec accuracy=48.497396 loss=2.210968 lr=0.069567 Epoch[101] Batch [0649]/[3759] Speed: 61.915319 samples/sec accuracy=48.384615 loss=2.214393 lr=0.069554 Epoch[101] Batch [0699]/[3759] Speed: 61.789300 samples/sec accuracy=48.332589 loss=2.214053 lr=0.069540 Epoch[101] Batch [0749]/[3759] Speed: 62.517818 samples/sec accuracy=48.335417 loss=2.211822 lr=0.069526 Epoch[101] Batch [0799]/[3759] Speed: 61.490003 samples/sec accuracy=48.191406 loss=2.216022 lr=0.069513 Epoch[101] Batch [0849]/[3759] Speed: 62.474456 samples/sec accuracy=48.170956 loss=2.216508 lr=0.069499 Epoch[101] 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accuracy=47.954861 loss=2.229176 lr=0.069362 Epoch[101] Batch [1399]/[3759] Speed: 61.709329 samples/sec accuracy=47.950893 loss=2.228497 lr=0.069348 Epoch[101] Batch [1449]/[3759] Speed: 62.223935 samples/sec accuracy=47.932112 loss=2.228864 lr=0.069335 Epoch[101] Batch [1499]/[3759] Speed: 61.271722 samples/sec accuracy=47.918750 loss=2.229838 lr=0.069321 Epoch[101] Batch [1549]/[3759] Speed: 62.357696 samples/sec accuracy=47.926411 loss=2.230524 lr=0.069307 Epoch[101] Batch [1599]/[3759] Speed: 61.430193 samples/sec accuracy=47.940430 loss=2.230200 lr=0.069293 Epoch[101] Batch [1649]/[3759] Speed: 61.625453 samples/sec accuracy=47.906250 loss=2.232364 lr=0.069280 Epoch[101] Batch [1699]/[3759] Speed: 62.073393 samples/sec accuracy=47.901654 loss=2.232301 lr=0.069266 Epoch[101] Batch [1749]/[3759] Speed: 62.195242 samples/sec accuracy=47.925893 loss=2.231433 lr=0.069252 Epoch[101] Batch [1799]/[3759] Speed: 60.703233 samples/sec accuracy=47.957465 loss=2.231177 lr=0.069239 Epoch[101] 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accuracy=47.735734 loss=2.240196 lr=0.069102 Epoch[101] Batch [2349]/[3759] Speed: 60.632838 samples/sec accuracy=47.750000 loss=2.240081 lr=0.069088 Epoch[101] Batch [2399]/[3759] Speed: 62.712510 samples/sec accuracy=47.720703 loss=2.241553 lr=0.069074 Epoch[101] Batch [2449]/[3759] Speed: 61.043925 samples/sec accuracy=47.691327 loss=2.243015 lr=0.069060 Epoch[101] Batch [2499]/[3759] Speed: 62.648192 samples/sec accuracy=47.718125 loss=2.242437 lr=0.069047 Epoch[101] Batch [2549]/[3759] Speed: 61.109952 samples/sec accuracy=47.725490 loss=2.241984 lr=0.069033 Epoch[101] Batch [2599]/[3759] Speed: 62.339104 samples/sec accuracy=47.713942 loss=2.242823 lr=0.069019 Epoch[101] Batch [2649]/[3759] Speed: 60.623598 samples/sec accuracy=47.742925 loss=2.241761 lr=0.069006 Epoch[101] Batch [2699]/[3759] Speed: 61.996057 samples/sec accuracy=47.732060 loss=2.242015 lr=0.068992 Epoch[101] Batch [2749]/[3759] Speed: 60.842216 samples/sec accuracy=47.735227 loss=2.242696 lr=0.068978 Epoch[101] 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accuracy=47.720673 loss=2.243555 lr=0.068841 Epoch[101] Batch [3299]/[3759] Speed: 62.517046 samples/sec accuracy=47.698864 loss=2.243581 lr=0.068827 Epoch[101] Batch [3349]/[3759] Speed: 61.993818 samples/sec accuracy=47.697761 loss=2.243453 lr=0.068813 Epoch[101] Batch [3399]/[3759] Speed: 61.416865 samples/sec accuracy=47.671415 loss=2.244697 lr=0.068800 Epoch[101] Batch [3449]/[3759] Speed: 62.685669 samples/sec accuracy=47.648551 loss=2.245567 lr=0.068786 Epoch[101] Batch [3499]/[3759] Speed: 62.040877 samples/sec accuracy=47.641964 loss=2.245562 lr=0.068772 Epoch[101] Batch [3549]/[3759] Speed: 62.441726 samples/sec accuracy=47.645246 loss=2.245685 lr=0.068758 Epoch[101] Batch [3599]/[3759] Speed: 61.830283 samples/sec accuracy=47.651910 loss=2.245894 lr=0.068745 Epoch[101] Batch [3649]/[3759] Speed: 62.455025 samples/sec accuracy=47.674229 loss=2.245736 lr=0.068731 Epoch[101] Batch [3699]/[3759] Speed: 62.142897 samples/sec accuracy=47.681588 loss=2.245680 lr=0.068717 Epoch[101] Batch [3749]/[3759] Speed: 67.052669 samples/sec accuracy=47.699583 loss=2.244980 lr=0.068703 Batch [0049]/[0303]: acc-top1=47.000000 acc-top5=72.656250 Batch [0099]/[0303]: acc-top1=47.906250 acc-top5=73.859375 Batch [0149]/[0303]: acc-top1=47.406250 acc-top5=73.770833 Batch [0199]/[0303]: acc-top1=47.929688 acc-top5=73.828125 Batch [0249]/[0303]: acc-top1=47.306250 acc-top5=73.731250 Batch [0299]/[0303]: acc-top1=47.463542 acc-top5=74.010417 [Epoch 101] training: accuracy=47.708416 loss=2.244660 [Epoch 101] speed: 61 samples/sec time cost: 4209.002249 [Epoch 101] validation: acc-top1=47.395833 acc-top5=73.989274 loss=2.436792 Epoch[102] Batch [0049]/[3760] Speed: 42.047705 samples/sec accuracy=50.156250 loss=2.180815 lr=0.068687 Epoch[102] Batch [0099]/[3760] Speed: 60.275300 samples/sec accuracy=49.468750 loss=2.185140 lr=0.068674 Epoch[102] Batch [0149]/[3760] Speed: 60.217075 samples/sec accuracy=49.875000 loss=2.172780 lr=0.068660 Epoch[102] Batch [0199]/[3760] Speed: 61.186830 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lr=0.068261 Epoch[102] Batch [1649]/[3760] Speed: 61.877633 samples/sec accuracy=48.273674 loss=2.216493 lr=0.068247 Epoch[102] Batch [1699]/[3760] Speed: 62.580063 samples/sec accuracy=48.249081 loss=2.216992 lr=0.068233 Epoch[102] Batch [1749]/[3760] Speed: 62.512843 samples/sec accuracy=48.252679 loss=2.217517 lr=0.068220 Epoch[102] Batch [1799]/[3760] Speed: 62.256222 samples/sec accuracy=48.221354 loss=2.218079 lr=0.068206 Epoch[102] Batch [1849]/[3760] Speed: 62.294346 samples/sec accuracy=48.210304 loss=2.218567 lr=0.068192 Epoch[102] Batch [1899]/[3760] Speed: 62.160539 samples/sec accuracy=48.211349 loss=2.219531 lr=0.068178 Epoch[102] Batch [1949]/[3760] Speed: 62.785874 samples/sec accuracy=48.192308 loss=2.219963 lr=0.068164 Epoch[102] Batch [1999]/[3760] Speed: 61.713476 samples/sec accuracy=48.184375 loss=2.220446 lr=0.068151 Epoch[102] Batch [2049]/[3760] Speed: 62.690672 samples/sec accuracy=48.211890 loss=2.218775 lr=0.068137 Epoch[102] Batch [2099]/[3760] Speed: 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lr=0.067999 Epoch[102] Batch [2599]/[3760] Speed: 62.232735 samples/sec accuracy=48.044471 loss=2.224732 lr=0.067985 Epoch[102] Batch [2649]/[3760] Speed: 61.045760 samples/sec accuracy=48.011203 loss=2.226172 lr=0.067972 Epoch[102] Batch [2699]/[3760] Speed: 62.862219 samples/sec accuracy=48.013889 loss=2.227004 lr=0.067958 Epoch[102] Batch [2749]/[3760] Speed: 61.868389 samples/sec accuracy=47.998864 loss=2.227933 lr=0.067944 Epoch[102] Batch [2799]/[3760] Speed: 62.468823 samples/sec accuracy=48.003906 loss=2.227701 lr=0.067930 Epoch[102] Batch [2849]/[3760] Speed: 60.954267 samples/sec accuracy=47.992325 loss=2.228078 lr=0.067916 Epoch[102] Batch [2899]/[3760] Speed: 62.309053 samples/sec accuracy=47.970905 loss=2.229351 lr=0.067903 Epoch[102] Batch [2949]/[3760] Speed: 61.575120 samples/sec accuracy=47.945445 loss=2.230820 lr=0.067889 Epoch[102] Batch [2999]/[3760] Speed: 61.668813 samples/sec accuracy=47.928646 loss=2.231852 lr=0.067875 Epoch[102] Batch [3049]/[3760] Speed: 61.502318 samples/sec accuracy=47.915471 loss=2.232089 lr=0.067861 Epoch[102] Batch [3099]/[3760] Speed: 62.016121 samples/sec accuracy=47.901714 loss=2.232817 lr=0.067847 Epoch[102] Batch [3149]/[3760] Speed: 60.625734 samples/sec accuracy=47.891865 loss=2.233064 lr=0.067834 Epoch[102] Batch [3199]/[3760] Speed: 62.683401 samples/sec accuracy=47.918945 loss=2.232192 lr=0.067820 Epoch[102] Batch [3249]/[3760] Speed: 62.051343 samples/sec accuracy=47.912500 loss=2.232813 lr=0.067806 Epoch[102] Batch [3299]/[3760] Speed: 61.702366 samples/sec accuracy=47.910038 loss=2.232756 lr=0.067792 Epoch[102] Batch [3349]/[3760] Speed: 61.639079 samples/sec accuracy=47.919310 loss=2.232439 lr=0.067778 Epoch[102] Batch [3399]/[3760] Speed: 60.940671 samples/sec accuracy=47.924173 loss=2.232644 lr=0.067765 Epoch[102] Batch [3449]/[3760] Speed: 61.358575 samples/sec accuracy=47.913496 loss=2.233399 lr=0.067751 Epoch[102] Batch [3499]/[3760] Speed: 60.584697 samples/sec accuracy=47.925000 loss=2.233312 lr=0.067737 Epoch[102] Batch [3549]/[3760] Speed: 61.779827 samples/sec accuracy=47.948504 loss=2.232726 lr=0.067723 Epoch[102] Batch [3599]/[3760] Speed: 60.493038 samples/sec accuracy=47.953993 loss=2.232799 lr=0.067709 Epoch[102] Batch [3649]/[3760] Speed: 62.113021 samples/sec accuracy=47.951627 loss=2.233026 lr=0.067696 Epoch[102] Batch [3699]/[3760] Speed: 60.846672 samples/sec accuracy=47.949747 loss=2.233522 lr=0.067682 Epoch[102] Batch [3749]/[3760] Speed: 66.467190 samples/sec accuracy=47.949167 loss=2.233381 lr=0.067668 Batch [0049]/[0303]: acc-top1=45.968750 acc-top5=72.843750 Batch [0099]/[0303]: acc-top1=47.375000 acc-top5=73.406250 Batch [0149]/[0303]: acc-top1=47.156250 acc-top5=73.343750 Batch [0199]/[0303]: acc-top1=47.367188 acc-top5=73.546875 Batch [0249]/[0303]: acc-top1=47.206250 acc-top5=73.531250 Batch [0299]/[0303]: acc-top1=47.317708 acc-top5=73.755208 [Epoch 102] training: accuracy=47.952543 loss=2.233248 [Epoch 102] speed: 61 samples/sec time cost: 4199.133767 [Epoch 102] validation: acc-top1=47.266914 acc-top5=73.731436 loss=2.509552 Epoch[103] Batch [0049]/[3760] Speed: 41.617037 samples/sec accuracy=47.125000 loss=2.221300 lr=0.067651 Epoch[103] Batch [0099]/[3760] Speed: 59.908450 samples/sec accuracy=47.515625 loss=2.221188 lr=0.067638 Epoch[103] Batch [0149]/[3760] Speed: 60.982094 samples/sec accuracy=47.760417 loss=2.218668 lr=0.067624 Epoch[103] Batch [0199]/[3760] Speed: 60.351914 samples/sec accuracy=48.015625 loss=2.225570 lr=0.067610 Epoch[103] Batch [0249]/[3760] Speed: 61.480773 samples/sec accuracy=47.931250 loss=2.228608 lr=0.067596 Epoch[103] Batch [0299]/[3760] Speed: 60.942557 samples/sec accuracy=48.302083 loss=2.210614 lr=0.067582 Epoch[103] Batch [0349]/[3760] Speed: 62.050137 samples/sec accuracy=48.455357 loss=2.201015 lr=0.067569 Epoch[103] Batch [0399]/[3760] Speed: 59.650977 samples/sec accuracy=48.542969 loss=2.195463 lr=0.067555 Epoch[103] Batch [0449]/[3760] Speed: 62.822473 samples/sec accuracy=48.489583 loss=2.198177 lr=0.067541 Epoch[103] Batch [0499]/[3760] Speed: 60.428690 samples/sec accuracy=48.409375 loss=2.205577 lr=0.067527 Epoch[103] Batch [0549]/[3760] Speed: 62.600953 samples/sec accuracy=48.400568 loss=2.203317 lr=0.067513 Epoch[103] Batch [0599]/[3760] Speed: 60.357811 samples/sec accuracy=48.468750 loss=2.197363 lr=0.067500 Epoch[103] Batch [0649]/[3760] Speed: 62.608259 samples/sec accuracy=48.435096 loss=2.200497 lr=0.067486 Epoch[103] Batch [0699]/[3760] Speed: 61.177340 samples/sec accuracy=48.370536 loss=2.202534 lr=0.067472 Epoch[103] Batch [0749]/[3760] Speed: 61.841363 samples/sec accuracy=48.379167 loss=2.203876 lr=0.067458 Epoch[103] Batch [0799]/[3760] Speed: 61.599324 samples/sec accuracy=48.392578 loss=2.205739 lr=0.067444 Epoch[103] Batch [0849]/[3760] Speed: 62.205792 samples/sec accuracy=48.386029 loss=2.204060 lr=0.067430 Epoch[103] Batch [0899]/[3760] Speed: 59.967785 samples/sec accuracy=48.437500 loss=2.202583 lr=0.067417 Epoch[103] 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accuracy=48.393973 loss=2.212944 lr=0.067278 Epoch[103] Batch [1449]/[3760] Speed: 62.443390 samples/sec accuracy=48.407328 loss=2.213360 lr=0.067265 Epoch[103] Batch [1499]/[3760] Speed: 62.468242 samples/sec accuracy=48.415625 loss=2.213347 lr=0.067251 Epoch[103] Batch [1549]/[3760] Speed: 62.601527 samples/sec accuracy=48.429435 loss=2.213206 lr=0.067237 Epoch[103] Batch [1599]/[3760] Speed: 62.361757 samples/sec accuracy=48.427734 loss=2.214123 lr=0.067223 Epoch[103] Batch [1649]/[3760] Speed: 62.024322 samples/sec accuracy=48.414773 loss=2.214812 lr=0.067209 Epoch[103] Batch [1699]/[3760] Speed: 62.038581 samples/sec accuracy=48.425551 loss=2.214652 lr=0.067195 Epoch[103] Batch [1749]/[3760] Speed: 62.130028 samples/sec accuracy=48.450893 loss=2.213989 lr=0.067182 Epoch[103] Batch [1799]/[3760] Speed: 62.893863 samples/sec accuracy=48.440104 loss=2.215450 lr=0.067168 Epoch[103] Batch [1849]/[3760] Speed: 62.558849 samples/sec accuracy=48.413851 loss=2.216018 lr=0.067154 Epoch[103] 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accuracy=48.222074 loss=2.222359 lr=0.067015 Epoch[103] Batch [2399]/[3760] Speed: 62.344935 samples/sec accuracy=48.246745 loss=2.222824 lr=0.067002 Epoch[103] Batch [2449]/[3760] Speed: 62.052712 samples/sec accuracy=48.250000 loss=2.222426 lr=0.066988 Epoch[103] Batch [2499]/[3760] Speed: 62.643385 samples/sec accuracy=48.267500 loss=2.221836 lr=0.066974 Epoch[103] Batch [2549]/[3760] Speed: 62.506754 samples/sec accuracy=48.268995 loss=2.222751 lr=0.066960 Epoch[103] Batch [2599]/[3760] Speed: 61.729237 samples/sec accuracy=48.254207 loss=2.222458 lr=0.066946 Epoch[103] Batch [2649]/[3760] Speed: 62.365248 samples/sec accuracy=48.243514 loss=2.222653 lr=0.066932 Epoch[103] Batch [2699]/[3760] Speed: 62.588293 samples/sec accuracy=48.264468 loss=2.222717 lr=0.066919 Epoch[103] Batch [2749]/[3760] Speed: 62.601143 samples/sec accuracy=48.276705 loss=2.221948 lr=0.066905 Epoch[103] Batch [2799]/[3760] Speed: 61.758667 samples/sec accuracy=48.272321 loss=2.222275 lr=0.066891 Epoch[103] 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accuracy=48.223011 loss=2.223779 lr=0.066752 Epoch[103] Batch [3349]/[3760] Speed: 61.833291 samples/sec accuracy=48.210354 loss=2.223927 lr=0.066738 Epoch[103] Batch [3399]/[3760] Speed: 62.199377 samples/sec accuracy=48.223805 loss=2.223342 lr=0.066725 Epoch[103] Batch [3449]/[3760] Speed: 61.761595 samples/sec accuracy=48.205163 loss=2.223505 lr=0.066711 Epoch[103] Batch [3499]/[3760] Speed: 62.365310 samples/sec accuracy=48.199107 loss=2.224460 lr=0.066697 Epoch[103] Batch [3549]/[3760] Speed: 61.756869 samples/sec accuracy=48.196303 loss=2.224909 lr=0.066683 Epoch[103] Batch [3599]/[3760] Speed: 61.581212 samples/sec accuracy=48.184462 loss=2.225655 lr=0.066669 Epoch[103] Batch [3649]/[3760] Speed: 61.948507 samples/sec accuracy=48.173801 loss=2.226071 lr=0.066655 Epoch[103] Batch [3699]/[3760] Speed: 62.124037 samples/sec accuracy=48.186233 loss=2.225745 lr=0.066641 Epoch[103] Batch [3749]/[3760] Speed: 66.854550 samples/sec accuracy=48.158750 loss=2.226239 lr=0.066628 Batch [0049]/[0303]: acc-top1=47.187500 acc-top5=73.968750 Batch [0099]/[0303]: acc-top1=48.281250 acc-top5=74.593750 Batch [0149]/[0303]: acc-top1=47.885417 acc-top5=74.468750 Batch [0199]/[0303]: acc-top1=48.179688 acc-top5=74.546875 Batch [0249]/[0303]: acc-top1=47.743750 acc-top5=74.193750 Batch [0299]/[0303]: acc-top1=48.046875 acc-top5=74.500000 [Epoch 103] training: accuracy=48.158660 loss=2.226298 [Epoch 103] speed: 61 samples/sec time cost: 4199.873344 [Epoch 103] validation: acc-top1=48.040429 acc-top5=74.474010 loss=2.393333 Epoch[104] Batch [0049]/[3759] Speed: 40.970102 samples/sec accuracy=49.218750 loss=2.129823 lr=0.066611 Epoch[104] Batch [0099]/[3759] Speed: 60.516367 samples/sec accuracy=49.203125 loss=2.147205 lr=0.066597 Epoch[104] Batch [0149]/[3759] Speed: 61.477195 samples/sec accuracy=49.729167 loss=2.134101 lr=0.066583 Epoch[104] Batch [0199]/[3759] Speed: 60.667585 samples/sec accuracy=49.281250 loss=2.142917 lr=0.066569 Epoch[104] Batch [0249]/[3759] Speed: 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lr=0.065903 Epoch[104] Batch [2649]/[3759] Speed: 61.927177 samples/sec accuracy=48.404481 loss=2.209262 lr=0.065889 Epoch[104] Batch [2699]/[3759] Speed: 61.670065 samples/sec accuracy=48.417245 loss=2.208987 lr=0.065875 Epoch[104] Batch [2749]/[3759] Speed: 61.477704 samples/sec accuracy=48.416477 loss=2.207382 lr=0.065861 Epoch[104] Batch [2799]/[3759] Speed: 61.862522 samples/sec accuracy=48.431920 loss=2.207645 lr=0.065847 Epoch[104] Batch [2849]/[3759] Speed: 60.033189 samples/sec accuracy=48.415022 loss=2.208804 lr=0.065833 Epoch[104] Batch [2899]/[3759] Speed: 62.961587 samples/sec accuracy=48.372845 loss=2.211555 lr=0.065819 Epoch[104] Batch [2949]/[3759] Speed: 60.992351 samples/sec accuracy=48.372352 loss=2.211533 lr=0.065805 Epoch[104] Batch [2999]/[3759] Speed: 62.577463 samples/sec accuracy=48.358854 loss=2.211686 lr=0.065791 Epoch[104] Batch [3049]/[3759] Speed: 60.848953 samples/sec accuracy=48.370902 loss=2.211405 lr=0.065777 Epoch[104] Batch [3099]/[3759] Speed: 62.395188 samples/sec accuracy=48.377016 loss=2.211018 lr=0.065764 Epoch[104] Batch [3149]/[3759] Speed: 61.793201 samples/sec accuracy=48.349702 loss=2.212355 lr=0.065750 Epoch[104] Batch [3199]/[3759] Speed: 63.208730 samples/sec accuracy=48.357422 loss=2.211505 lr=0.065736 Epoch[104] Batch [3249]/[3759] Speed: 61.254837 samples/sec accuracy=48.360096 loss=2.211203 lr=0.065722 Epoch[104] Batch [3299]/[3759] Speed: 62.786506 samples/sec accuracy=48.362216 loss=2.211148 lr=0.065708 Epoch[104] Batch [3349]/[3759] Speed: 62.244225 samples/sec accuracy=48.362873 loss=2.211820 lr=0.065694 Epoch[104] Batch [3399]/[3759] Speed: 62.123032 samples/sec accuracy=48.347886 loss=2.212291 lr=0.065680 Epoch[104] Batch [3449]/[3759] Speed: 61.893177 samples/sec accuracy=48.326087 loss=2.212661 lr=0.065666 Epoch[104] Batch [3499]/[3759] Speed: 62.358305 samples/sec accuracy=48.322768 loss=2.212591 lr=0.065652 Epoch[104] Batch [3549]/[3759] Speed: 62.536322 samples/sec accuracy=48.320423 loss=2.212279 lr=0.065638 Epoch[104] Batch [3599]/[3759] Speed: 61.833852 samples/sec accuracy=48.318142 loss=2.212307 lr=0.065624 Epoch[104] Batch [3649]/[3759] Speed: 62.551238 samples/sec accuracy=48.296233 loss=2.212802 lr=0.065610 Epoch[104] Batch [3699]/[3759] Speed: 62.908833 samples/sec accuracy=48.300253 loss=2.213092 lr=0.065597 Epoch[104] Batch [3749]/[3759] Speed: 66.288942 samples/sec accuracy=48.299167 loss=2.213459 lr=0.065583 Batch [0049]/[0303]: acc-top1=47.406250 acc-top5=73.750000 Batch [0099]/[0303]: acc-top1=48.281250 acc-top5=74.546875 Batch [0149]/[0303]: acc-top1=48.270833 acc-top5=74.739583 Batch [0199]/[0303]: acc-top1=48.460938 acc-top5=74.953125 Batch [0249]/[0303]: acc-top1=48.268750 acc-top5=74.725000 Batch [0299]/[0303]: acc-top1=48.463542 acc-top5=75.114583 [Epoch 104] training: accuracy=48.297835 loss=2.213357 [Epoch 104] speed: 61 samples/sec time cost: 4207.119670 [Epoch 104] validation: acc-top1=48.422030 acc-top5=75.092822 loss=2.462594 Epoch[105] Batch 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accuracy=49.100000 loss=2.174306 lr=0.065441 Epoch[105] Batch [0549]/[3760] Speed: 62.704526 samples/sec accuracy=49.039773 loss=2.176833 lr=0.065427 Epoch[105] Batch [0599]/[3760] Speed: 61.732873 samples/sec accuracy=49.041667 loss=2.178803 lr=0.065413 Epoch[105] Batch [0649]/[3760] Speed: 62.839648 samples/sec accuracy=48.954327 loss=2.181203 lr=0.065399 Epoch[105] Batch [0699]/[3760] Speed: 61.420024 samples/sec accuracy=48.919643 loss=2.180476 lr=0.065385 Epoch[105] Batch [0749]/[3760] Speed: 63.016794 samples/sec accuracy=48.839583 loss=2.183721 lr=0.065371 Epoch[105] Batch [0799]/[3760] Speed: 62.319801 samples/sec accuracy=48.785156 loss=2.183731 lr=0.065357 Epoch[105] Batch [0849]/[3760] Speed: 62.508782 samples/sec accuracy=48.669118 loss=2.189136 lr=0.065343 Epoch[105] Batch [0899]/[3760] Speed: 62.230975 samples/sec accuracy=48.626736 loss=2.189534 lr=0.065329 Epoch[105] Batch [0949]/[3760] Speed: 62.624588 samples/sec accuracy=48.588816 loss=2.188641 lr=0.065315 Epoch[105] 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accuracy=48.418843 loss=2.205277 lr=0.064646 Epoch[105] Batch [3399]/[3760] Speed: 61.689171 samples/sec accuracy=48.397978 loss=2.206674 lr=0.064632 Epoch[105] Batch [3449]/[3760] Speed: 62.071856 samples/sec accuracy=48.388587 loss=2.206813 lr=0.064618 Epoch[105] Batch [3499]/[3760] Speed: 62.273223 samples/sec accuracy=48.397768 loss=2.206569 lr=0.064604 Epoch[105] Batch [3549]/[3760] Speed: 62.184952 samples/sec accuracy=48.377201 loss=2.207283 lr=0.064590 Epoch[105] Batch [3599]/[3760] Speed: 62.059533 samples/sec accuracy=48.379340 loss=2.207669 lr=0.064576 Epoch[105] Batch [3649]/[3760] Speed: 61.622688 samples/sec accuracy=48.383134 loss=2.208478 lr=0.064562 Epoch[105] Batch [3699]/[3760] Speed: 62.602813 samples/sec accuracy=48.385980 loss=2.208555 lr=0.064548 Epoch[105] Batch [3749]/[3760] Speed: 67.219236 samples/sec accuracy=48.365833 loss=2.208950 lr=0.064534 Batch [0049]/[0303]: acc-top1=46.437500 acc-top5=72.875000 Batch [0099]/[0303]: acc-top1=47.078125 acc-top5=73.125000 Batch [0149]/[0303]: acc-top1=46.947917 acc-top5=72.979167 Batch [0199]/[0303]: acc-top1=46.960938 acc-top5=73.031250 Batch [0249]/[0303]: acc-top1=46.793750 acc-top5=72.631250 Batch [0299]/[0303]: acc-top1=46.979167 acc-top5=72.796875 [Epoch 105] training: accuracy=48.366439 loss=2.208906 [Epoch 105] speed: 61 samples/sec time cost: 4196.418746 [Epoch 105] validation: acc-top1=46.921411 acc-top5=72.741337 loss=2.628774 Epoch[106] Batch [0049]/[3760] Speed: 41.382877 samples/sec accuracy=48.625000 loss=2.186721 lr=0.064517 Epoch[106] Batch [0099]/[3760] Speed: 60.216578 samples/sec accuracy=48.750000 loss=2.179458 lr=0.064503 Epoch[106] Batch [0149]/[3760] Speed: 61.380946 samples/sec accuracy=48.875000 loss=2.187677 lr=0.064489 Epoch[106] Batch [0199]/[3760] Speed: 59.995288 samples/sec accuracy=49.023438 loss=2.194772 lr=0.064475 Epoch[106] Batch [0249]/[3760] Speed: 61.934473 samples/sec accuracy=48.806250 loss=2.202379 lr=0.064461 Epoch[106] Batch [0299]/[3760] 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accuracy=48.799632 loss=2.191619 lr=0.064056 Epoch[106] Batch [1749]/[3760] Speed: 61.335734 samples/sec accuracy=48.778571 loss=2.193036 lr=0.064042 Epoch[106] Batch [1799]/[3760] Speed: 62.782663 samples/sec accuracy=48.764757 loss=2.192768 lr=0.064028 Epoch[106] Batch [1849]/[3760] Speed: 61.774607 samples/sec accuracy=48.788851 loss=2.192786 lr=0.064014 Epoch[106] Batch [1899]/[3760] Speed: 61.648389 samples/sec accuracy=48.754934 loss=2.192859 lr=0.064000 Epoch[106] Batch [1949]/[3760] Speed: 62.357474 samples/sec accuracy=48.736378 loss=2.192701 lr=0.063986 Epoch[106] Batch [1999]/[3760] Speed: 61.779718 samples/sec accuracy=48.743750 loss=2.192318 lr=0.063972 Epoch[106] Batch [2049]/[3760] Speed: 63.022516 samples/sec accuracy=48.763720 loss=2.191322 lr=0.063958 Epoch[106] Batch [2099]/[3760] Speed: 62.007329 samples/sec accuracy=48.725446 loss=2.193570 lr=0.063944 Epoch[106] Batch [2149]/[3760] Speed: 62.250879 samples/sec accuracy=48.703488 loss=2.194619 lr=0.063930 Epoch[106] 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accuracy=48.659198 loss=2.197233 lr=0.063790 Epoch[106] Batch [2699]/[3760] Speed: 62.326020 samples/sec accuracy=48.656250 loss=2.196900 lr=0.063776 Epoch[106] Batch [2749]/[3760] Speed: 62.786677 samples/sec accuracy=48.665909 loss=2.196828 lr=0.063762 Epoch[106] Batch [2799]/[3760] Speed: 61.712573 samples/sec accuracy=48.671875 loss=2.196313 lr=0.063748 Epoch[106] Batch [2849]/[3760] Speed: 62.512437 samples/sec accuracy=48.701754 loss=2.195882 lr=0.063734 Epoch[106] Batch [2899]/[3760] Speed: 62.014736 samples/sec accuracy=48.698815 loss=2.196914 lr=0.063720 Epoch[106] Batch [2949]/[3760] Speed: 61.811789 samples/sec accuracy=48.688559 loss=2.197437 lr=0.063706 Epoch[106] Batch [2999]/[3760] Speed: 62.194247 samples/sec accuracy=48.696875 loss=2.197577 lr=0.063692 Epoch[106] Batch [3049]/[3760] Speed: 62.331738 samples/sec accuracy=48.695697 loss=2.198363 lr=0.063678 Epoch[106] Batch [3099]/[3760] Speed: 61.456927 samples/sec accuracy=48.679940 loss=2.199681 lr=0.063664 Epoch[106] Batch [3149]/[3760] Speed: 62.358172 samples/sec accuracy=48.677083 loss=2.199721 lr=0.063650 Epoch[106] Batch [3199]/[3760] Speed: 62.213505 samples/sec accuracy=48.656738 loss=2.200403 lr=0.063636 Epoch[106] Batch [3249]/[3760] Speed: 61.894008 samples/sec accuracy=48.662500 loss=2.200884 lr=0.063622 Epoch[106] Batch [3299]/[3760] Speed: 61.909496 samples/sec accuracy=48.669981 loss=2.201093 lr=0.063608 Epoch[106] Batch [3349]/[3760] Speed: 61.397304 samples/sec accuracy=48.663246 loss=2.201713 lr=0.063594 Epoch[106] Batch [3399]/[3760] Speed: 62.307718 samples/sec accuracy=48.670956 loss=2.201441 lr=0.063580 Epoch[106] Batch [3449]/[3760] Speed: 60.512705 samples/sec accuracy=48.678442 loss=2.201330 lr=0.063566 Epoch[106] Batch [3499]/[3760] Speed: 62.717024 samples/sec accuracy=48.680804 loss=2.201444 lr=0.063552 Epoch[106] Batch [3549]/[3760] Speed: 60.235430 samples/sec accuracy=48.686620 loss=2.200969 lr=0.063538 Epoch[106] Batch [3599]/[3760] Speed: 61.898068 samples/sec accuracy=48.656684 loss=2.201852 lr=0.063524 Epoch[106] Batch [3649]/[3760] Speed: 59.362603 samples/sec accuracy=48.671661 loss=2.201327 lr=0.063510 Epoch[106] Batch [3699]/[3760] Speed: 62.276033 samples/sec accuracy=48.676943 loss=2.200565 lr=0.063496 Epoch[106] Batch [3749]/[3760] Speed: 66.340737 samples/sec accuracy=48.656667 loss=2.201497 lr=0.063482 Batch [0049]/[0303]: acc-top1=46.156250 acc-top5=74.500000 Batch [0099]/[0303]: acc-top1=46.812500 acc-top5=74.281250 Batch [0149]/[0303]: acc-top1=46.416667 acc-top5=74.093750 Batch [0199]/[0303]: acc-top1=47.093750 acc-top5=74.312500 Batch [0249]/[0303]: acc-top1=47.150000 acc-top5=74.312500 Batch [0299]/[0303]: acc-top1=47.390625 acc-top5=74.552083 [Epoch 106] training: accuracy=48.655253 loss=2.201634 [Epoch 106] speed: 61 samples/sec time cost: 4199.914054 [Epoch 106] validation: acc-top1=47.385520 acc-top5=74.504950 loss=2.489840 Epoch[107] Batch [0049]/[3759] Speed: 40.935754 samples/sec accuracy=47.218750 loss=2.210342 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acc-top1=49.031250 acc-top5=74.945312 Batch [0249]/[0303]: acc-top1=48.625000 acc-top5=74.687500 Batch [0299]/[0303]: acc-top1=48.817708 acc-top5=74.984375 [Epoch 107] training: accuracy=48.687733 loss=2.194867 [Epoch 107] speed: 61 samples/sec time cost: 4233.916065 [Epoch 107] validation: acc-top1=48.788160 acc-top5=74.984530 loss=2.472919 Epoch[108] Batch [0049]/[3760] Speed: 41.701142 samples/sec accuracy=49.937500 loss=2.165188 lr=0.062409 Epoch[108] Batch [0099]/[3760] Speed: 60.329018 samples/sec accuracy=49.343750 loss=2.174726 lr=0.062395 Epoch[108] Batch [0149]/[3760] Speed: 61.035926 samples/sec accuracy=48.875000 loss=2.200503 lr=0.062381 Epoch[108] Batch [0199]/[3760] Speed: 60.593535 samples/sec accuracy=49.203125 loss=2.192638 lr=0.062367 Epoch[108] Batch [0249]/[3760] Speed: 61.892658 samples/sec accuracy=49.418750 loss=2.178729 lr=0.062353 Epoch[108] Batch [0299]/[3760] Speed: 59.943025 samples/sec accuracy=49.244792 loss=2.182034 lr=0.062339 Epoch[108] Batch 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accuracy=49.718750 loss=2.158049 lr=0.062198 Epoch[108] Batch [0849]/[3760] Speed: 61.692636 samples/sec accuracy=49.770221 loss=2.160878 lr=0.062184 Epoch[108] Batch [0899]/[3760] Speed: 62.082099 samples/sec accuracy=49.826389 loss=2.158984 lr=0.062170 Epoch[108] Batch [0949]/[3760] Speed: 62.352243 samples/sec accuracy=49.804276 loss=2.159817 lr=0.062156 Epoch[108] Batch [0999]/[3760] Speed: 61.352426 samples/sec accuracy=49.782812 loss=2.161028 lr=0.062142 Epoch[108] Batch [1049]/[3760] Speed: 62.465655 samples/sec accuracy=49.720238 loss=2.161312 lr=0.062128 Epoch[108] Batch [1099]/[3760] Speed: 62.180090 samples/sec accuracy=49.690341 loss=2.159891 lr=0.062114 Epoch[108] Batch [1149]/[3760] Speed: 62.446555 samples/sec accuracy=49.668478 loss=2.160490 lr=0.062100 Epoch[108] Batch [1199]/[3760] Speed: 61.753902 samples/sec accuracy=49.632812 loss=2.161882 lr=0.062086 Epoch[108] Batch [1249]/[3760] Speed: 61.688287 samples/sec accuracy=49.555000 loss=2.164451 lr=0.062072 Epoch[108] 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accuracy=49.377679 loss=2.173738 lr=0.061931 Epoch[108] Batch [1799]/[3760] Speed: 62.338422 samples/sec accuracy=49.342882 loss=2.174567 lr=0.061917 Epoch[108] Batch [1849]/[3760] Speed: 61.837388 samples/sec accuracy=49.330236 loss=2.174389 lr=0.061903 Epoch[108] Batch [1899]/[3760] Speed: 62.454275 samples/sec accuracy=49.329770 loss=2.174202 lr=0.061889 Epoch[108] Batch [1949]/[3760] Speed: 61.700363 samples/sec accuracy=49.273237 loss=2.175406 lr=0.061875 Epoch[108] Batch [1999]/[3760] Speed: 62.531496 samples/sec accuracy=49.260938 loss=2.175319 lr=0.061861 Epoch[108] Batch [2049]/[3760] Speed: 60.863610 samples/sec accuracy=49.214939 loss=2.176696 lr=0.061847 Epoch[108] Batch [2099]/[3760] Speed: 62.553417 samples/sec accuracy=49.177827 loss=2.177875 lr=0.061833 Epoch[108] Batch [2149]/[3760] Speed: 61.861457 samples/sec accuracy=49.151890 loss=2.178683 lr=0.061819 Epoch[108] Batch [2199]/[3760] Speed: 62.473617 samples/sec accuracy=49.175426 loss=2.178308 lr=0.061804 Epoch[108] 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accuracy=49.056134 loss=2.181163 lr=0.061664 Epoch[108] Batch [2749]/[3760] Speed: 62.282805 samples/sec accuracy=49.047159 loss=2.181349 lr=0.061650 Epoch[108] Batch [2799]/[3760] Speed: 60.281696 samples/sec accuracy=49.044643 loss=2.181501 lr=0.061635 Epoch[108] Batch [2849]/[3760] Speed: 62.748915 samples/sec accuracy=49.065789 loss=2.181033 lr=0.061621 Epoch[108] Batch [2899]/[3760] Speed: 60.817473 samples/sec accuracy=49.054418 loss=2.181661 lr=0.061607 Epoch[108] Batch [2949]/[3760] Speed: 61.923942 samples/sec accuracy=49.048199 loss=2.181424 lr=0.061593 Epoch[108] Batch [2999]/[3760] Speed: 60.882984 samples/sec accuracy=49.036458 loss=2.181875 lr=0.061579 Epoch[108] Batch [3049]/[3760] Speed: 62.642733 samples/sec accuracy=49.035348 loss=2.182020 lr=0.061565 Epoch[108] Batch [3099]/[3760] Speed: 60.583641 samples/sec accuracy=49.012601 loss=2.182684 lr=0.061551 Epoch[108] Batch [3149]/[3760] Speed: 62.169856 samples/sec accuracy=49.020833 loss=2.182044 lr=0.061537 Epoch[108] Batch [3199]/[3760] Speed: 61.047305 samples/sec accuracy=49.019531 loss=2.182178 lr=0.061523 Epoch[108] Batch [3249]/[3760] Speed: 62.401773 samples/sec accuracy=49.012500 loss=2.182975 lr=0.061509 Epoch[108] Batch [3299]/[3760] Speed: 60.395601 samples/sec accuracy=49.026515 loss=2.181959 lr=0.061495 Epoch[108] Batch [3349]/[3760] Speed: 61.909550 samples/sec accuracy=49.045709 loss=2.181571 lr=0.061481 Epoch[108] Batch [3399]/[3760] Speed: 61.337713 samples/sec accuracy=49.039982 loss=2.181338 lr=0.061466 Epoch[108] Batch [3449]/[3760] Speed: 62.141407 samples/sec accuracy=49.056159 loss=2.180791 lr=0.061452 Epoch[108] Batch [3499]/[3760] Speed: 61.301644 samples/sec accuracy=49.050000 loss=2.180801 lr=0.061438 Epoch[108] Batch [3549]/[3760] Speed: 61.886786 samples/sec accuracy=49.060739 loss=2.180302 lr=0.061424 Epoch[108] Batch [3599]/[3760] Speed: 61.751322 samples/sec accuracy=49.039062 loss=2.181283 lr=0.061410 Epoch[108] Batch [3649]/[3760] Speed: 60.971698 samples/sec accuracy=49.020976 loss=2.182545 lr=0.061396 Epoch[108] Batch [3699]/[3760] Speed: 61.643963 samples/sec accuracy=49.010135 loss=2.182965 lr=0.061382 Epoch[108] Batch [3749]/[3760] Speed: 66.820939 samples/sec accuracy=49.005833 loss=2.183163 lr=0.061368 Batch [0049]/[0303]: acc-top1=47.625000 acc-top5=73.906250 Batch [0099]/[0303]: acc-top1=48.531250 acc-top5=74.765625 Batch [0149]/[0303]: acc-top1=48.291667 acc-top5=74.604167 Batch [0199]/[0303]: acc-top1=48.390625 acc-top5=74.742188 Batch [0249]/[0303]: acc-top1=48.418750 acc-top5=74.762500 Batch [0299]/[0303]: acc-top1=48.744792 acc-top5=74.984375 [Epoch 108] training: accuracy=49.006400 loss=2.183368 [Epoch 108] speed: 61 samples/sec time cost: 4211.617509 [Epoch 108] validation: acc-top1=48.700495 acc-top5=74.902021 loss=2.402657 Epoch[109] Batch [0049]/[3760] Speed: 41.547143 samples/sec accuracy=50.906250 loss=2.112464 lr=0.061351 Epoch[109] Batch [0099]/[3760] Speed: 60.678879 samples/sec accuracy=49.718750 loss=2.151761 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[0299]/[0303]: acc-top1=49.244792 acc-top5=75.328125 [Epoch 109] training: accuracy=49.135223 loss=2.170861 [Epoch 109] speed: 61 samples/sec time cost: 4205.353960 [Epoch 109] validation: acc-top1=49.185231 acc-top5=75.262995 loss=2.435183 Epoch[110] Batch [0049]/[3759] Speed: 41.304660 samples/sec accuracy=50.656250 loss=2.120027 lr=0.060290 Epoch[110] Batch [0099]/[3759] Speed: 60.453376 samples/sec accuracy=50.609375 loss=2.117286 lr=0.060276 Epoch[110] Batch [0149]/[3759] Speed: 61.376293 samples/sec accuracy=50.729167 loss=2.112639 lr=0.060262 Epoch[110] Batch [0199]/[3759] Speed: 60.021708 samples/sec accuracy=50.710938 loss=2.119351 lr=0.060248 Epoch[110] Batch [0249]/[3759] Speed: 62.351446 samples/sec accuracy=49.862500 loss=2.144247 lr=0.060234 Epoch[110] Batch [0299]/[3759] Speed: 60.968747 samples/sec accuracy=49.848958 loss=2.139094 lr=0.060219 Epoch[110] Batch [0349]/[3759] Speed: 61.782035 samples/sec accuracy=50.116071 loss=2.127263 lr=0.060205 Epoch[110] Batch 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accuracy=49.797794 loss=2.143486 lr=0.060064 Epoch[110] Batch [0899]/[3759] Speed: 61.104652 samples/sec accuracy=49.817708 loss=2.141705 lr=0.060050 Epoch[110] Batch [0949]/[3759] Speed: 62.363168 samples/sec accuracy=49.759868 loss=2.143608 lr=0.060036 Epoch[110] Batch [0999]/[3759] Speed: 62.015458 samples/sec accuracy=49.773438 loss=2.146447 lr=0.060022 Epoch[110] Batch [1049]/[3759] Speed: 62.217798 samples/sec accuracy=49.717262 loss=2.147893 lr=0.060008 Epoch[110] Batch [1099]/[3759] Speed: 61.513579 samples/sec accuracy=49.683239 loss=2.149085 lr=0.059993 Epoch[110] Batch [1149]/[3759] Speed: 62.538043 samples/sec accuracy=49.711957 loss=2.147513 lr=0.059979 Epoch[110] Batch [1199]/[3759] Speed: 62.393004 samples/sec accuracy=49.694010 loss=2.148999 lr=0.059965 Epoch[110] Batch [1249]/[3759] Speed: 61.924044 samples/sec accuracy=49.777500 loss=2.146492 lr=0.059951 Epoch[110] Batch [1299]/[3759] Speed: 62.238965 samples/sec accuracy=49.794471 loss=2.144872 lr=0.059937 Epoch[110] 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accuracy=49.716146 loss=2.146969 lr=0.059796 Epoch[110] Batch [1849]/[3759] Speed: 62.162141 samples/sec accuracy=49.706926 loss=2.147444 lr=0.059781 Epoch[110] Batch [1899]/[3759] Speed: 62.338168 samples/sec accuracy=49.654605 loss=2.149586 lr=0.059767 Epoch[110] Batch [1949]/[3759] Speed: 61.710955 samples/sec accuracy=49.668269 loss=2.149855 lr=0.059753 Epoch[110] Batch [1999]/[3759] Speed: 62.132228 samples/sec accuracy=49.701563 loss=2.148771 lr=0.059739 Epoch[110] Batch [2049]/[3759] Speed: 62.134932 samples/sec accuracy=49.704268 loss=2.148365 lr=0.059725 Epoch[110] Batch [2099]/[3759] Speed: 62.855806 samples/sec accuracy=49.674107 loss=2.149332 lr=0.059711 Epoch[110] Batch [2149]/[3759] Speed: 61.756234 samples/sec accuracy=49.700581 loss=2.148374 lr=0.059697 Epoch[110] Batch [2199]/[3759] Speed: 61.979414 samples/sec accuracy=49.696733 loss=2.149206 lr=0.059682 Epoch[110] Batch [2249]/[3759] Speed: 61.688600 samples/sec accuracy=49.696528 loss=2.149859 lr=0.059668 Epoch[110] 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accuracy=49.606250 loss=2.153419 lr=0.059527 Epoch[110] Batch [2799]/[3759] Speed: 62.604647 samples/sec accuracy=49.607143 loss=2.153489 lr=0.059513 Epoch[110] Batch [2849]/[3759] Speed: 62.095866 samples/sec accuracy=49.586623 loss=2.154277 lr=0.059499 Epoch[110] Batch [2899]/[3759] Speed: 62.019800 samples/sec accuracy=49.552802 loss=2.155646 lr=0.059485 Epoch[110] Batch [2949]/[3759] Speed: 61.865217 samples/sec accuracy=49.523305 loss=2.156195 lr=0.059470 Epoch[110] Batch [2999]/[3759] Speed: 62.414545 samples/sec accuracy=49.503125 loss=2.157585 lr=0.059456 Epoch[110] Batch [3049]/[3759] Speed: 61.859436 samples/sec accuracy=49.510246 loss=2.157133 lr=0.059442 Epoch[110] Batch [3099]/[3759] Speed: 61.808921 samples/sec accuracy=49.482863 loss=2.158792 lr=0.059428 Epoch[110] Batch [3149]/[3759] Speed: 62.019743 samples/sec accuracy=49.463790 loss=2.159774 lr=0.059414 Epoch[110] Batch [3199]/[3759] Speed: 62.327109 samples/sec accuracy=49.476074 loss=2.158905 lr=0.059400 Epoch[110] Batch [3249]/[3759] Speed: 61.197289 samples/sec accuracy=49.462019 loss=2.159592 lr=0.059386 Epoch[110] Batch [3299]/[3759] Speed: 62.196881 samples/sec accuracy=49.454545 loss=2.160087 lr=0.059371 Epoch[110] Batch [3349]/[3759] Speed: 62.120200 samples/sec accuracy=49.444030 loss=2.160599 lr=0.059357 Epoch[110] Batch [3399]/[3759] Speed: 62.157091 samples/sec accuracy=49.464614 loss=2.160535 lr=0.059343 Epoch[110] Batch [3449]/[3759] Speed: 61.812487 samples/sec accuracy=49.429348 loss=2.161807 lr=0.059329 Epoch[110] Batch [3499]/[3759] Speed: 62.034901 samples/sec accuracy=49.440179 loss=2.161448 lr=0.059315 Epoch[110] Batch [3549]/[3759] Speed: 62.280906 samples/sec accuracy=49.432218 loss=2.161686 lr=0.059301 Epoch[110] Batch [3599]/[3759] Speed: 60.897845 samples/sec accuracy=49.433160 loss=2.161113 lr=0.059287 Epoch[110] Batch [3649]/[3759] Speed: 62.955120 samples/sec accuracy=49.417808 loss=2.161640 lr=0.059272 Epoch[110] Batch [3699]/[3759] Speed: 61.760036 samples/sec accuracy=49.381334 loss=2.162695 lr=0.059258 Epoch[110] Batch [3749]/[3759] Speed: 67.772903 samples/sec accuracy=49.373333 loss=2.163097 lr=0.059244 Batch [0049]/[0303]: acc-top1=47.625000 acc-top5=73.781250 Batch [0099]/[0303]: acc-top1=48.187500 acc-top5=74.265625 Batch [0149]/[0303]: acc-top1=47.750000 acc-top5=73.989583 Batch [0199]/[0303]: acc-top1=48.117188 acc-top5=74.289062 Batch [0249]/[0303]: acc-top1=47.962500 acc-top5=74.100000 Batch [0299]/[0303]: acc-top1=48.026042 acc-top5=74.281250 [Epoch 110] training: accuracy=49.376912 loss=2.162882 [Epoch 110] speed: 61 samples/sec time cost: 4201.658054 [Epoch 110] validation: acc-top1=47.968234 acc-top5=74.226485 loss=2.513411 Epoch[111] Batch [0049]/[3760] Speed: 40.898462 samples/sec accuracy=50.812500 loss=2.049993 lr=0.059227 Epoch[111] Batch [0099]/[3760] Speed: 60.466777 samples/sec accuracy=50.078125 loss=2.110859 lr=0.059213 Epoch[111] Batch [0149]/[3760] Speed: 61.590544 samples/sec accuracy=50.302083 loss=2.101489 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lr=0.058392 Epoch[111] Batch [3049]/[3760] Speed: 61.834320 samples/sec accuracy=49.541496 loss=2.154622 lr=0.058378 Epoch[111] Batch [3099]/[3760] Speed: 61.882346 samples/sec accuracy=49.545363 loss=2.154848 lr=0.058364 Epoch[111] Batch [3149]/[3760] Speed: 61.981035 samples/sec accuracy=49.542163 loss=2.155135 lr=0.058350 Epoch[111] Batch [3199]/[3760] Speed: 62.306084 samples/sec accuracy=49.542480 loss=2.155360 lr=0.058336 Epoch[111] Batch [3249]/[3760] Speed: 61.957575 samples/sec accuracy=49.557692 loss=2.155183 lr=0.058322 Epoch[111] Batch [3299]/[3760] Speed: 61.640285 samples/sec accuracy=49.546402 loss=2.154941 lr=0.058307 Epoch[111] Batch [3349]/[3760] Speed: 62.554020 samples/sec accuracy=49.545243 loss=2.154607 lr=0.058293 Epoch[111] Batch [3399]/[3760] Speed: 62.004515 samples/sec accuracy=49.528033 loss=2.155454 lr=0.058279 Epoch[111] Batch [3449]/[3760] Speed: 61.628278 samples/sec accuracy=49.523551 loss=2.155280 lr=0.058265 Epoch[111] Batch [3499]/[3760] Speed: 62.400843 samples/sec accuracy=49.534375 loss=2.155983 lr=0.058251 Epoch[111] Batch [3549]/[3760] Speed: 62.212933 samples/sec accuracy=49.506602 loss=2.156742 lr=0.058237 Epoch[111] Batch [3599]/[3760] Speed: 62.072111 samples/sec accuracy=49.518229 loss=2.155885 lr=0.058222 Epoch[111] Batch [3649]/[3760] Speed: 61.942203 samples/sec accuracy=49.518836 loss=2.156277 lr=0.058208 Epoch[111] Batch [3699]/[3760] Speed: 62.460725 samples/sec accuracy=49.529561 loss=2.156412 lr=0.058194 Epoch[111] Batch [3749]/[3760] Speed: 67.021714 samples/sec accuracy=49.522917 loss=2.156195 lr=0.058180 Batch [0049]/[0303]: acc-top1=45.718750 acc-top5=72.281250 Batch [0099]/[0303]: acc-top1=46.953125 acc-top5=73.234375 Batch [0149]/[0303]: acc-top1=46.552083 acc-top5=73.270833 Batch [0199]/[0303]: acc-top1=46.976562 acc-top5=73.515625 Batch [0249]/[0303]: acc-top1=46.762500 acc-top5=73.381250 Batch [0299]/[0303]: acc-top1=46.963542 acc-top5=73.453125 [Epoch 111] training: accuracy=49.521692 loss=2.156226 [Epoch 111] speed: 61 samples/sec time cost: 4205.994484 [Epoch 111] validation: acc-top1=46.952351 acc-top5=73.396246 loss=2.715790 Epoch[112] Batch [0049]/[3760] Speed: 40.503546 samples/sec accuracy=51.343750 loss=2.083872 lr=0.058163 Epoch[112] Batch [0099]/[3760] Speed: 60.574336 samples/sec accuracy=50.531250 loss=2.089511 lr=0.058149 Epoch[112] Batch [0149]/[3760] Speed: 61.532859 samples/sec accuracy=50.364583 loss=2.096801 lr=0.058135 Epoch[112] Batch [0199]/[3760] Speed: 60.713870 samples/sec accuracy=50.195312 loss=2.104390 lr=0.058120 Epoch[112] Batch [0249]/[3760] Speed: 60.806011 samples/sec accuracy=50.100000 loss=2.104646 lr=0.058106 Epoch[112] Batch [0299]/[3760] Speed: 60.578944 samples/sec accuracy=50.359375 loss=2.097624 lr=0.058092 Epoch[112] Batch [0349]/[3760] Speed: 62.461355 samples/sec accuracy=50.218750 loss=2.097078 lr=0.058078 Epoch[112] Batch [0399]/[3760] Speed: 59.541075 samples/sec accuracy=49.910156 loss=2.109430 lr=0.058064 Epoch[112] Batch 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accuracy=49.822917 loss=2.126520 lr=0.057922 Epoch[112] Batch [0949]/[3760] Speed: 60.741830 samples/sec accuracy=49.855263 loss=2.126364 lr=0.057908 Epoch[112] Batch [0999]/[3760] Speed: 61.601056 samples/sec accuracy=49.846875 loss=2.126812 lr=0.057894 Epoch[112] Batch [1049]/[3760] Speed: 61.999593 samples/sec accuracy=49.813988 loss=2.127991 lr=0.057880 Epoch[112] Batch [1099]/[3760] Speed: 61.740232 samples/sec accuracy=49.750000 loss=2.129000 lr=0.057866 Epoch[112] Batch [1149]/[3760] Speed: 60.966816 samples/sec accuracy=49.764946 loss=2.126283 lr=0.057851 Epoch[112] Batch [1199]/[3760] Speed: 61.907393 samples/sec accuracy=49.729167 loss=2.127222 lr=0.057837 Epoch[112] Batch [1249]/[3760] Speed: 61.527587 samples/sec accuracy=49.697500 loss=2.127840 lr=0.057823 Epoch[112] Batch [1299]/[3760] Speed: 62.045654 samples/sec accuracy=49.747596 loss=2.125049 lr=0.057809 Epoch[112] Batch [1349]/[3760] Speed: 61.098852 samples/sec accuracy=49.739583 loss=2.125011 lr=0.057795 Epoch[112] 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accuracy=49.641047 loss=2.132667 lr=0.057653 Epoch[112] Batch [1899]/[3760] Speed: 62.139821 samples/sec accuracy=49.660362 loss=2.132163 lr=0.057639 Epoch[112] Batch [1949]/[3760] Speed: 61.678585 samples/sec accuracy=49.678686 loss=2.132594 lr=0.057625 Epoch[112] Batch [1999]/[3760] Speed: 62.295342 samples/sec accuracy=49.662500 loss=2.133553 lr=0.057610 Epoch[112] Batch [2049]/[3760] Speed: 60.644180 samples/sec accuracy=49.620427 loss=2.136172 lr=0.057596 Epoch[112] Batch [2099]/[3760] Speed: 62.337727 samples/sec accuracy=49.606399 loss=2.137218 lr=0.057582 Epoch[112] Batch [2149]/[3760] Speed: 61.249746 samples/sec accuracy=49.618459 loss=2.137644 lr=0.057568 Epoch[112] Batch [2199]/[3760] Speed: 62.057572 samples/sec accuracy=49.605114 loss=2.138221 lr=0.057554 Epoch[112] Batch [2249]/[3760] Speed: 61.225027 samples/sec accuracy=49.579167 loss=2.139031 lr=0.057540 Epoch[112] Batch [2299]/[3760] Speed: 62.162844 samples/sec accuracy=49.599864 loss=2.137952 lr=0.057525 Epoch[112] 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accuracy=49.607701 loss=2.140622 lr=0.057384 Epoch[112] Batch [2849]/[3760] Speed: 62.218325 samples/sec accuracy=49.572368 loss=2.141642 lr=0.057370 Epoch[112] Batch [2899]/[3760] Speed: 60.551667 samples/sec accuracy=49.561422 loss=2.140692 lr=0.057355 Epoch[112] Batch [2949]/[3760] Speed: 61.705499 samples/sec accuracy=49.578919 loss=2.140738 lr=0.057341 Epoch[112] Batch [2999]/[3760] Speed: 60.851319 samples/sec accuracy=49.572917 loss=2.141318 lr=0.057327 Epoch[112] Batch [3049]/[3760] Speed: 62.406914 samples/sec accuracy=49.552254 loss=2.142342 lr=0.057313 Epoch[112] Batch [3099]/[3760] Speed: 60.768093 samples/sec accuracy=49.533770 loss=2.142768 lr=0.057299 Epoch[112] Batch [3149]/[3760] Speed: 61.643390 samples/sec accuracy=49.557044 loss=2.141439 lr=0.057284 Epoch[112] Batch [3199]/[3760] Speed: 60.692447 samples/sec accuracy=49.540527 loss=2.142093 lr=0.057270 Epoch[112] Batch [3249]/[3760] Speed: 62.317893 samples/sec accuracy=49.539423 loss=2.141785 lr=0.057256 Epoch[112] Batch [3299]/[3760] Speed: 60.507541 samples/sec accuracy=49.562027 loss=2.141724 lr=0.057242 Epoch[112] Batch [3349]/[3760] Speed: 61.936259 samples/sec accuracy=49.570429 loss=2.141617 lr=0.057228 Epoch[112] Batch [3399]/[3760] Speed: 60.747815 samples/sec accuracy=49.569853 loss=2.142008 lr=0.057214 Epoch[112] Batch [3449]/[3760] Speed: 62.014924 samples/sec accuracy=49.568841 loss=2.142657 lr=0.057199 Epoch[112] Batch [3499]/[3760] Speed: 59.716703 samples/sec accuracy=49.562500 loss=2.143023 lr=0.057185 Epoch[112] Batch [3549]/[3760] Speed: 62.728575 samples/sec accuracy=49.573504 loss=2.142779 lr=0.057171 Epoch[112] Batch [3599]/[3760] Speed: 61.526841 samples/sec accuracy=49.573785 loss=2.143155 lr=0.057157 Epoch[112] Batch [3649]/[3760] Speed: 61.403965 samples/sec accuracy=49.581764 loss=2.143378 lr=0.057143 Epoch[112] Batch [3699]/[3760] Speed: 61.113402 samples/sec accuracy=49.587416 loss=2.144042 lr=0.057129 Epoch[112] Batch [3749]/[3760] Speed: 67.062214 samples/sec accuracy=49.610833 loss=2.143125 lr=0.057114 Batch [0049]/[0303]: acc-top1=49.187500 acc-top5=75.406250 Batch [0099]/[0303]: acc-top1=50.031250 acc-top5=76.203125 Batch [0149]/[0303]: acc-top1=50.083333 acc-top5=76.187500 Batch [0199]/[0303]: acc-top1=50.328125 acc-top5=76.234375 Batch [0249]/[0303]: acc-top1=49.868750 acc-top5=75.931250 Batch [0299]/[0303]: acc-top1=50.145833 acc-top5=76.161458 [Epoch 112] training: accuracy=49.610206 loss=2.143385 [Epoch 112] speed: 61 samples/sec time cost: 4232.741057 [Epoch 112] validation: acc-top1=50.134076 acc-top5=76.124175 loss=2.358349 Epoch[113] Batch [0049]/[3759] Speed: 41.607080 samples/sec accuracy=51.625000 loss=2.074243 lr=0.057097 Epoch[113] Batch [0099]/[3759] Speed: 60.523536 samples/sec accuracy=51.671875 loss=2.048890 lr=0.057083 Epoch[113] Batch [0149]/[3759] Speed: 60.332239 samples/sec accuracy=51.427083 loss=2.063191 lr=0.057069 Epoch[113] Batch [0199]/[3759] Speed: 60.537320 samples/sec accuracy=51.265625 loss=2.086422 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acc-top5=75.850866 loss=2.338550 Epoch[114] Batch [0049]/[3760] Speed: 41.752152 samples/sec accuracy=51.375000 loss=2.045433 lr=0.056031 Epoch[114] Batch [0099]/[3760] Speed: 60.249476 samples/sec accuracy=51.046875 loss=2.055046 lr=0.056017 Epoch[114] Batch [0149]/[3760] Speed: 60.892251 samples/sec accuracy=51.250000 loss=2.056941 lr=0.056003 Epoch[114] Batch [0199]/[3760] Speed: 60.484406 samples/sec accuracy=51.187500 loss=2.067021 lr=0.055989 Epoch[114] Batch [0249]/[3760] Speed: 61.378827 samples/sec accuracy=51.393750 loss=2.062095 lr=0.055974 Epoch[114] Batch [0299]/[3760] Speed: 60.997454 samples/sec accuracy=51.473958 loss=2.062843 lr=0.055960 Epoch[114] Batch [0349]/[3760] Speed: 61.534858 samples/sec accuracy=51.223214 loss=2.072652 lr=0.055946 Epoch[114] Batch [0399]/[3760] Speed: 60.441252 samples/sec accuracy=51.316406 loss=2.072075 lr=0.055932 Epoch[114] Batch [0449]/[3760] Speed: 61.685293 samples/sec accuracy=51.131944 loss=2.070896 lr=0.055918 Epoch[114] Batch 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accuracy=50.104441 loss=2.114410 lr=0.055506 Epoch[114] Batch [1949]/[3760] Speed: 62.157795 samples/sec accuracy=50.102564 loss=2.115014 lr=0.055492 Epoch[114] Batch [1999]/[3760] Speed: 62.378196 samples/sec accuracy=50.105469 loss=2.115155 lr=0.055478 Epoch[114] Batch [2049]/[3760] Speed: 61.987553 samples/sec accuracy=50.101372 loss=2.115719 lr=0.055464 Epoch[114] Batch [2099]/[3760] Speed: 61.848149 samples/sec accuracy=50.115327 loss=2.114439 lr=0.055450 Epoch[114] Batch [2149]/[3760] Speed: 62.413204 samples/sec accuracy=50.096657 loss=2.115129 lr=0.055435 Epoch[114] Batch [2199]/[3760] Speed: 62.391793 samples/sec accuracy=50.105824 loss=2.115026 lr=0.055421 Epoch[114] Batch [2249]/[3760] Speed: 61.644346 samples/sec accuracy=50.087500 loss=2.116397 lr=0.055407 Epoch[114] Batch [2299]/[3760] Speed: 62.737661 samples/sec accuracy=50.101223 loss=2.115666 lr=0.055393 Epoch[114] Batch [2349]/[3760] Speed: 62.197211 samples/sec accuracy=50.083112 loss=2.116880 lr=0.055379 Epoch[114] 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accuracy=50.013158 loss=2.120496 lr=0.055237 Epoch[114] Batch [2899]/[3760] Speed: 61.967306 samples/sec accuracy=50.023168 loss=2.120037 lr=0.055223 Epoch[114] Batch [2949]/[3760] Speed: 61.655723 samples/sec accuracy=50.018008 loss=2.119981 lr=0.055208 Epoch[114] Batch [2999]/[3760] Speed: 62.246051 samples/sec accuracy=50.044271 loss=2.118879 lr=0.055194 Epoch[114] Batch [3049]/[3760] Speed: 62.296995 samples/sec accuracy=50.049180 loss=2.119070 lr=0.055180 Epoch[114] Batch [3099]/[3760] Speed: 62.252545 samples/sec accuracy=50.073589 loss=2.117898 lr=0.055166 Epoch[114] Batch [3149]/[3760] Speed: 61.707993 samples/sec accuracy=50.107639 loss=2.117480 lr=0.055152 Epoch[114] Batch [3199]/[3760] Speed: 62.566641 samples/sec accuracy=50.107910 loss=2.117775 lr=0.055137 Epoch[114] Batch [3249]/[3760] Speed: 62.537767 samples/sec accuracy=50.109135 loss=2.117837 lr=0.055123 Epoch[114] Batch [3299]/[3760] Speed: 62.078055 samples/sec accuracy=50.109848 loss=2.118114 lr=0.055109 Epoch[114] 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[0099]/[0303]: acc-top1=49.109375 acc-top5=75.343750 Batch [0149]/[0303]: acc-top1=48.979167 acc-top5=75.135417 Batch [0199]/[0303]: acc-top1=49.593750 acc-top5=75.351562 Batch [0249]/[0303]: acc-top1=49.418750 acc-top5=75.150000 Batch [0299]/[0303]: acc-top1=49.625000 acc-top5=75.234375 [Epoch 114] training: accuracy=50.059009 loss=2.122011 [Epoch 114] speed: 61 samples/sec time cost: 4201.875602 [Epoch 114] validation: acc-top1=49.577145 acc-top5=75.190800 loss=2.340307 Epoch[115] Batch [0049]/[3760] Speed: 41.199459 samples/sec accuracy=51.562500 loss=2.044017 lr=0.054964 Epoch[115] Batch [0099]/[3760] Speed: 60.159405 samples/sec accuracy=51.203125 loss=2.048602 lr=0.054950 Epoch[115] Batch [0149]/[3760] Speed: 60.510335 samples/sec accuracy=50.927083 loss=2.061695 lr=0.054936 Epoch[115] Batch [0199]/[3760] Speed: 59.905993 samples/sec accuracy=50.843750 loss=2.075308 lr=0.054922 Epoch[115] Batch [0249]/[3760] Speed: 61.716366 samples/sec accuracy=50.831250 loss=2.078826 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lr=0.054638 Epoch[115] Batch [1249]/[3760] Speed: 61.331882 samples/sec accuracy=50.620000 loss=2.092574 lr=0.054624 Epoch[115] Batch [1299]/[3760] Speed: 62.850846 samples/sec accuracy=50.611779 loss=2.094133 lr=0.054610 Epoch[115] Batch [1349]/[3760] Speed: 61.735294 samples/sec accuracy=50.593750 loss=2.094433 lr=0.054596 Epoch[115] Batch [1399]/[3760] Speed: 62.749699 samples/sec accuracy=50.525670 loss=2.097439 lr=0.054581 Epoch[115] Batch [1449]/[3760] Speed: 61.490206 samples/sec accuracy=50.507543 loss=2.097847 lr=0.054567 Epoch[115] Batch [1499]/[3760] Speed: 62.381150 samples/sec accuracy=50.459375 loss=2.098926 lr=0.054553 Epoch[115] Batch [1549]/[3760] Speed: 61.973347 samples/sec accuracy=50.459677 loss=2.098380 lr=0.054539 Epoch[115] Batch [1599]/[3760] Speed: 61.466277 samples/sec accuracy=50.513672 loss=2.097624 lr=0.054525 Epoch[115] Batch [1649]/[3760] Speed: 62.531964 samples/sec accuracy=50.551136 loss=2.098608 lr=0.054510 Epoch[115] Batch [1699]/[3760] Speed: 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lr=0.054369 Epoch[115] Batch [2199]/[3760] Speed: 61.659663 samples/sec accuracy=50.413352 loss=2.103787 lr=0.054354 Epoch[115] Batch [2249]/[3760] Speed: 62.718994 samples/sec accuracy=50.393750 loss=2.104196 lr=0.054340 Epoch[115] Batch [2299]/[3760] Speed: 62.223787 samples/sec accuracy=50.378397 loss=2.105525 lr=0.054326 Epoch[115] Batch [2349]/[3760] Speed: 61.350798 samples/sec accuracy=50.353059 loss=2.106242 lr=0.054312 Epoch[115] Batch [2399]/[3760] Speed: 62.462557 samples/sec accuracy=50.353516 loss=2.105700 lr=0.054298 Epoch[115] Batch [2449]/[3760] Speed: 62.310452 samples/sec accuracy=50.382653 loss=2.104918 lr=0.054283 Epoch[115] Batch [2499]/[3760] Speed: 62.403461 samples/sec accuracy=50.381250 loss=2.106015 lr=0.054269 Epoch[115] Batch [2549]/[3760] Speed: 61.768185 samples/sec accuracy=50.372549 loss=2.106694 lr=0.054255 Epoch[115] Batch [2599]/[3760] Speed: 62.209156 samples/sec accuracy=50.375000 loss=2.106872 lr=0.054241 Epoch[115] Batch [2649]/[3760] Speed: 62.054645 samples/sec accuracy=50.349646 loss=2.108463 lr=0.054227 Epoch[115] Batch [2699]/[3760] Speed: 62.405632 samples/sec accuracy=50.359954 loss=2.108635 lr=0.054212 Epoch[115] Batch [2749]/[3760] Speed: 61.757910 samples/sec accuracy=50.369318 loss=2.108921 lr=0.054198 Epoch[115] Batch [2799]/[3760] Speed: 62.705618 samples/sec accuracy=50.359375 loss=2.109333 lr=0.054184 Epoch[115] Batch [2849]/[3760] Speed: 62.063211 samples/sec accuracy=50.372807 loss=2.109178 lr=0.054170 Epoch[115] Batch [2899]/[3760] Speed: 62.327783 samples/sec accuracy=50.350754 loss=2.110419 lr=0.054156 Epoch[115] Batch [2949]/[3760] Speed: 62.002666 samples/sec accuracy=50.356992 loss=2.109995 lr=0.054142 Epoch[115] Batch [2999]/[3760] Speed: 62.384443 samples/sec accuracy=50.376562 loss=2.110099 lr=0.054127 Epoch[115] Batch [3049]/[3760] Speed: 62.608616 samples/sec accuracy=50.360143 loss=2.110477 lr=0.054113 Epoch[115] Batch [3099]/[3760] Speed: 61.630877 samples/sec accuracy=50.371976 loss=2.109773 lr=0.054099 Epoch[115] Batch [3149]/[3760] Speed: 62.374773 samples/sec accuracy=50.387897 loss=2.108933 lr=0.054085 Epoch[115] Batch [3199]/[3760] Speed: 62.452766 samples/sec accuracy=50.361328 loss=2.110479 lr=0.054071 Epoch[115] Batch [3249]/[3760] Speed: 62.452940 samples/sec accuracy=50.371154 loss=2.111179 lr=0.054056 Epoch[115] Batch [3299]/[3760] Speed: 62.050083 samples/sec accuracy=50.363163 loss=2.111228 lr=0.054042 Epoch[115] Batch [3349]/[3760] Speed: 62.421668 samples/sec accuracy=50.370802 loss=2.111461 lr=0.054028 Epoch[115] Batch [3399]/[3760] Speed: 62.409941 samples/sec accuracy=50.370404 loss=2.111458 lr=0.054014 Epoch[115] Batch [3449]/[3760] Speed: 62.346555 samples/sec accuracy=50.381793 loss=2.111076 lr=0.054000 Epoch[115] Batch [3499]/[3760] Speed: 62.408222 samples/sec accuracy=50.382589 loss=2.111323 lr=0.053986 Epoch[115] Batch [3549]/[3760] Speed: 62.100870 samples/sec accuracy=50.344630 loss=2.112874 lr=0.053971 Epoch[115] Batch [3599]/[3760] Speed: 62.354629 samples/sec accuracy=50.356337 loss=2.112328 lr=0.053957 Epoch[115] Batch [3649]/[3760] Speed: 62.107573 samples/sec accuracy=50.346318 loss=2.112767 lr=0.053943 Epoch[115] Batch [3699]/[3760] Speed: 62.538319 samples/sec accuracy=50.335726 loss=2.112747 lr=0.053929 Epoch[115] Batch [3749]/[3760] Speed: 67.262442 samples/sec accuracy=50.333333 loss=2.112703 lr=0.053915 Batch [0049]/[0303]: acc-top1=49.250000 acc-top5=75.656250 Batch [0099]/[0303]: acc-top1=49.875000 acc-top5=76.328125 Batch [0149]/[0303]: acc-top1=49.552083 acc-top5=75.864583 Batch [0199]/[0303]: acc-top1=49.789062 acc-top5=76.164062 Batch [0249]/[0303]: acc-top1=49.925000 acc-top5=75.975000 Batch [0299]/[0303]: acc-top1=50.338542 acc-top5=76.234375 [Epoch 115] training: accuracy=50.333693 loss=2.112705 [Epoch 115] speed: 61 samples/sec time cost: 4203.719858 [Epoch 115] validation: acc-top1=50.273309 acc-top5=76.191213 loss=2.430867 Epoch[116] Batch [0049]/[3759] Speed: 41.595322 samples/sec accuracy=51.343750 loss=2.078223 lr=0.053898 Epoch[116] Batch [0099]/[3759] Speed: 59.361987 samples/sec accuracy=51.156250 loss=2.084770 lr=0.053883 Epoch[116] Batch [0149]/[3759] Speed: 61.156459 samples/sec accuracy=51.385417 loss=2.068223 lr=0.053869 Epoch[116] Batch [0199]/[3759] Speed: 60.765520 samples/sec accuracy=51.406250 loss=2.066663 lr=0.053855 Epoch[116] Batch [0249]/[3759] Speed: 61.081041 samples/sec accuracy=51.556250 loss=2.059287 lr=0.053841 Epoch[116] Batch [0299]/[3759] Speed: 60.559847 samples/sec accuracy=51.354167 loss=2.062646 lr=0.053827 Epoch[116] Batch [0349]/[3759] Speed: 62.295401 samples/sec accuracy=51.513393 loss=2.060816 lr=0.053812 Epoch[116] Batch [0399]/[3759] Speed: 60.730793 samples/sec accuracy=51.582031 loss=2.061719 lr=0.053798 Epoch[116] Batch [0449]/[3759] Speed: 62.430485 samples/sec accuracy=51.565972 loss=2.059772 lr=0.053784 Epoch[116] Batch [0499]/[3759] Speed: 60.273335 samples/sec accuracy=51.434375 loss=2.064635 lr=0.053770 Epoch[116] Batch [0549]/[3759] Speed: 62.629557 samples/sec accuracy=51.323864 loss=2.066874 lr=0.053756 Epoch[116] Batch [0599]/[3759] Speed: 60.326051 samples/sec accuracy=51.242188 loss=2.072188 lr=0.053742 Epoch[116] Batch [0649]/[3759] Speed: 62.819442 samples/sec accuracy=51.209135 loss=2.074741 lr=0.053727 Epoch[116] Batch [0699]/[3759] Speed: 60.521806 samples/sec accuracy=51.125000 loss=2.078472 lr=0.053713 Epoch[116] Batch [0749]/[3759] Speed: 62.487001 samples/sec accuracy=51.091667 loss=2.076847 lr=0.053699 Epoch[116] Batch [0799]/[3759] Speed: 61.390111 samples/sec accuracy=51.027344 loss=2.079028 lr=0.053685 Epoch[116] Batch [0849]/[3759] Speed: 62.246788 samples/sec accuracy=51.051471 loss=2.078874 lr=0.053671 Epoch[116] Batch [0899]/[3759] Speed: 61.319643 samples/sec accuracy=50.968750 loss=2.081139 lr=0.053656 Epoch[116] Batch [0949]/[3759] Speed: 62.503555 samples/sec accuracy=50.904605 loss=2.084872 lr=0.053642 Epoch[116] Batch [0999]/[3759] Speed: 61.171165 samples/sec accuracy=50.818750 loss=2.087698 lr=0.053628 Epoch[116] Batch [1049]/[3759] Speed: 62.520569 samples/sec accuracy=50.793155 loss=2.089050 lr=0.053614 Epoch[116] Batch [1099]/[3759] Speed: 61.805269 samples/sec accuracy=50.815341 loss=2.088254 lr=0.053600 Epoch[116] Batch [1149]/[3759] Speed: 62.414670 samples/sec accuracy=50.743207 loss=2.091244 lr=0.053586 Epoch[116] Batch [1199]/[3759] Speed: 62.054743 samples/sec accuracy=50.842448 loss=2.088013 lr=0.053571 Epoch[116] Batch [1249]/[3759] Speed: 62.352220 samples/sec accuracy=50.876250 loss=2.086737 lr=0.053557 Epoch[116] Batch [1299]/[3759] Speed: 61.695192 samples/sec accuracy=50.888221 loss=2.087201 lr=0.053543 Epoch[116] Batch [1349]/[3759] Speed: 62.044996 samples/sec accuracy=50.820602 loss=2.089528 lr=0.053529 Epoch[116] Batch [1399]/[3759] Speed: 62.464948 samples/sec accuracy=50.833705 loss=2.087430 lr=0.053515 Epoch[116] Batch [1449]/[3759] Speed: 62.137707 samples/sec accuracy=50.809267 loss=2.088717 lr=0.053500 Epoch[116] Batch [1499]/[3759] Speed: 62.074907 samples/sec accuracy=50.825000 loss=2.089123 lr=0.053486 Epoch[116] Batch [1549]/[3759] Speed: 62.358981 samples/sec accuracy=50.788306 loss=2.089995 lr=0.053472 Epoch[116] Batch [1599]/[3759] Speed: 62.309680 samples/sec accuracy=50.720703 loss=2.093352 lr=0.053458 Epoch[116] Batch [1649]/[3759] Speed: 61.196735 samples/sec accuracy=50.750947 loss=2.092950 lr=0.053444 Epoch[116] Batch [1699]/[3759] Speed: 63.584801 samples/sec accuracy=50.740809 loss=2.093409 lr=0.053430 Epoch[116] Batch [1749]/[3759] Speed: 61.903438 samples/sec accuracy=50.731250 loss=2.093754 lr=0.053415 Epoch[116] Batch [1799]/[3759] Speed: 62.134394 samples/sec accuracy=50.697049 loss=2.095503 lr=0.053401 Epoch[116] Batch [1849]/[3759] Speed: 61.158297 samples/sec accuracy=50.696791 loss=2.095593 lr=0.053387 Epoch[116] Batch [1899]/[3759] Speed: 63.090549 samples/sec accuracy=50.695724 loss=2.095757 lr=0.053373 Epoch[116] Batch [1949]/[3759] Speed: 62.732244 samples/sec accuracy=50.701923 loss=2.095050 lr=0.053359 Epoch[116] Batch [1999]/[3759] Speed: 62.218866 samples/sec accuracy=50.679688 loss=2.096107 lr=0.053344 Epoch[116] Batch [2049]/[3759] Speed: 61.618347 samples/sec accuracy=50.645579 loss=2.097920 lr=0.053330 Epoch[116] Batch [2099]/[3759] Speed: 62.747080 samples/sec accuracy=50.668155 loss=2.098008 lr=0.053316 Epoch[116] Batch [2149]/[3759] Speed: 62.823018 samples/sec accuracy=50.664971 loss=2.097796 lr=0.053302 Epoch[116] Batch [2199]/[3759] Speed: 62.063341 samples/sec accuracy=50.629261 loss=2.098857 lr=0.053288 Epoch[116] Batch [2249]/[3759] Speed: 61.448485 samples/sec accuracy=50.638194 loss=2.099665 lr=0.053274 Epoch[116] Batch [2299]/[3759] Speed: 63.213305 samples/sec accuracy=50.624321 loss=2.100163 lr=0.053259 Epoch[116] Batch [2349]/[3759] Speed: 62.302906 samples/sec accuracy=50.649601 loss=2.098797 lr=0.053245 Epoch[116] Batch [2399]/[3759] Speed: 61.982721 samples/sec accuracy=50.677083 loss=2.096857 lr=0.053231 Epoch[116] Batch [2449]/[3759] Speed: 61.945307 samples/sec accuracy=50.643495 loss=2.097571 lr=0.053217 Epoch[116] Batch [2499]/[3759] Speed: 62.301216 samples/sec accuracy=50.648750 loss=2.097475 lr=0.053203 Epoch[116] Batch [2549]/[3759] Speed: 62.749373 samples/sec accuracy=50.666054 loss=2.096924 lr=0.053188 Epoch[116] Batch [2599]/[3759] Speed: 62.211908 samples/sec accuracy=50.664663 loss=2.097022 lr=0.053174 Epoch[116] Batch [2649]/[3759] Speed: 62.047071 samples/sec accuracy=50.650943 loss=2.097207 lr=0.053160 Epoch[116] Batch [2699]/[3759] Speed: 62.057435 samples/sec accuracy=50.646991 loss=2.098006 lr=0.053146 Epoch[116] Batch [2749]/[3759] Speed: 62.673591 samples/sec accuracy=50.667614 loss=2.097038 lr=0.053132 Epoch[116] Batch [2799]/[3759] Speed: 61.818816 samples/sec accuracy=50.676897 loss=2.097130 lr=0.053118 Epoch[116] Batch [2849]/[3759] Speed: 62.110630 samples/sec accuracy=50.671053 loss=2.097657 lr=0.053103 Epoch[116] Batch [2899]/[3759] Speed: 61.996765 samples/sec accuracy=50.669181 loss=2.097333 lr=0.053089 Epoch[116] Batch [2949]/[3759] Speed: 62.459694 samples/sec accuracy=50.681144 loss=2.096879 lr=0.053075 Epoch[116] Batch [2999]/[3759] Speed: 61.883775 samples/sec accuracy=50.660417 loss=2.097211 lr=0.053061 Epoch[116] Batch [3049]/[3759] Speed: 61.978219 samples/sec accuracy=50.662398 loss=2.096889 lr=0.053047 Epoch[116] Batch [3099]/[3759] Speed: 62.413992 samples/sec accuracy=50.678427 loss=2.096375 lr=0.053033 Epoch[116] Batch [3149]/[3759] Speed: 62.273790 samples/sec accuracy=50.673611 loss=2.096579 lr=0.053018 Epoch[116] Batch [3199]/[3759] Speed: 62.547804 samples/sec accuracy=50.663574 loss=2.097566 lr=0.053004 Epoch[116] Batch [3249]/[3759] Speed: 61.515103 samples/sec accuracy=50.670673 loss=2.096841 lr=0.052990 Epoch[116] Batch [3299]/[3759] Speed: 62.387509 samples/sec accuracy=50.666193 loss=2.097259 lr=0.052976 Epoch[116] Batch [3349]/[3759] Speed: 61.767666 samples/sec accuracy=50.646922 loss=2.098093 lr=0.052962 Epoch[116] Batch [3399]/[3759] Speed: 62.774270 samples/sec accuracy=50.641544 loss=2.098112 lr=0.052947 Epoch[116] Batch [3449]/[3759] Speed: 61.999406 samples/sec accuracy=50.628170 loss=2.098111 lr=0.052933 Epoch[116] Batch [3499]/[3759] Speed: 62.195930 samples/sec accuracy=50.612946 loss=2.098979 lr=0.052919 Epoch[116] Batch [3549]/[3759] Speed: 62.281752 samples/sec accuracy=50.618398 loss=2.098986 lr=0.052905 Epoch[116] Batch [3599]/[3759] Speed: 62.502722 samples/sec accuracy=50.577257 loss=2.100966 lr=0.052891 Epoch[116] Batch [3649]/[3759] Speed: 61.732743 samples/sec accuracy=50.579195 loss=2.100884 lr=0.052877 Epoch[116] Batch [3699]/[3759] Speed: 62.785381 samples/sec accuracy=50.587416 loss=2.101313 lr=0.052862 Epoch[116] Batch [3749]/[3759] Speed: 67.050029 samples/sec accuracy=50.573333 loss=2.102048 lr=0.052848 Batch [0049]/[0303]: acc-top1=49.125000 acc-top5=75.125000 Batch [0099]/[0303]: acc-top1=49.734375 acc-top5=75.500000 Batch [0149]/[0303]: acc-top1=49.989583 acc-top5=75.333333 Batch [0199]/[0303]: acc-top1=50.289062 acc-top5=75.640625 Batch [0249]/[0303]: acc-top1=50.100000 acc-top5=75.418750 Batch [0299]/[0303]: acc-top1=50.479167 acc-top5=75.687500 [Epoch 116] training: accuracy=50.573623 loss=2.102210 [Epoch 116] speed: 61 samples/sec time cost: 4196.666100 [Epoch 116] validation: acc-top1=50.464109 acc-top5=75.649752 loss=2.352638 Epoch[117] Batch [0049]/[3760] Speed: 41.670863 samples/sec accuracy=51.687500 loss=2.042669 lr=0.052831 Epoch[117] Batch [0099]/[3760] Speed: 59.914611 samples/sec accuracy=51.718750 loss=2.023037 lr=0.052817 Epoch[117] Batch [0149]/[3760] Speed: 60.837696 samples/sec accuracy=52.562500 loss=2.003618 lr=0.052803 Epoch[117] Batch [0199]/[3760] Speed: 60.771752 samples/sec accuracy=52.273438 loss=2.027646 lr=0.052789 Epoch[117] Batch [0249]/[3760] Speed: 60.972398 samples/sec accuracy=52.318750 loss=2.028378 lr=0.052775 Epoch[117] Batch [0299]/[3760] Speed: 61.748606 samples/sec accuracy=52.416667 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accuracy=51.348750 loss=2.064646 lr=0.052491 Epoch[117] Batch [1299]/[3760] Speed: 61.466143 samples/sec accuracy=51.265625 loss=2.067304 lr=0.052477 Epoch[117] Batch [1349]/[3760] Speed: 62.165006 samples/sec accuracy=51.186343 loss=2.070345 lr=0.052463 Epoch[117] Batch [1399]/[3760] Speed: 60.868339 samples/sec accuracy=51.158482 loss=2.071111 lr=0.052449 Epoch[117] Batch [1449]/[3760] Speed: 61.751492 samples/sec accuracy=51.044181 loss=2.074291 lr=0.052435 Epoch[117] Batch [1499]/[3760] Speed: 62.399212 samples/sec accuracy=51.028125 loss=2.074524 lr=0.052420 Epoch[117] Batch [1549]/[3760] Speed: 62.083967 samples/sec accuracy=51.051411 loss=2.075252 lr=0.052406 Epoch[117] Batch [1599]/[3760] Speed: 61.989991 samples/sec accuracy=51.012695 loss=2.077094 lr=0.052392 Epoch[117] Batch [1649]/[3760] Speed: 62.070694 samples/sec accuracy=50.969697 loss=2.077471 lr=0.052378 Epoch[117] Batch [1699]/[3760] Speed: 62.198754 samples/sec accuracy=50.995404 loss=2.076463 lr=0.052364 Epoch[117] 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accuracy=50.855114 loss=2.082701 lr=0.052222 Epoch[117] Batch [2249]/[3760] Speed: 62.065575 samples/sec accuracy=50.851389 loss=2.083516 lr=0.052208 Epoch[117] Batch [2299]/[3760] Speed: 62.670025 samples/sec accuracy=50.859375 loss=2.083800 lr=0.052194 Epoch[117] Batch [2349]/[3760] Speed: 61.326597 samples/sec accuracy=50.853723 loss=2.084518 lr=0.052180 Epoch[117] Batch [2399]/[3760] Speed: 62.533603 samples/sec accuracy=50.861328 loss=2.084260 lr=0.052165 Epoch[117] Batch [2449]/[3760] Speed: 61.739615 samples/sec accuracy=50.830357 loss=2.085331 lr=0.052151 Epoch[117] Batch [2499]/[3760] Speed: 62.466549 samples/sec accuracy=50.820625 loss=2.085772 lr=0.052137 Epoch[117] Batch [2549]/[3760] Speed: 61.760411 samples/sec accuracy=50.811275 loss=2.085952 lr=0.052123 Epoch[117] Batch [2599]/[3760] Speed: 62.475016 samples/sec accuracy=50.789063 loss=2.086688 lr=0.052109 Epoch[117] Batch [2649]/[3760] Speed: 62.073893 samples/sec accuracy=50.779481 loss=2.086770 lr=0.052095 Epoch[117] 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accuracy=50.733631 loss=2.088402 lr=0.051953 Epoch[117] Batch [3199]/[3760] Speed: 62.478891 samples/sec accuracy=50.716797 loss=2.089049 lr=0.051939 Epoch[117] Batch [3249]/[3760] Speed: 62.060777 samples/sec accuracy=50.729327 loss=2.089088 lr=0.051925 Epoch[117] Batch [3299]/[3760] Speed: 62.328964 samples/sec accuracy=50.738636 loss=2.088876 lr=0.051910 Epoch[117] Batch [3349]/[3760] Speed: 61.873863 samples/sec accuracy=50.732743 loss=2.089656 lr=0.051896 Epoch[117] Batch [3399]/[3760] Speed: 62.416946 samples/sec accuracy=50.719669 loss=2.090072 lr=0.051882 Epoch[117] Batch [3449]/[3760] Speed: 61.991119 samples/sec accuracy=50.713768 loss=2.090254 lr=0.051868 Epoch[117] Batch [3499]/[3760] Speed: 62.297252 samples/sec accuracy=50.726786 loss=2.090087 lr=0.051854 Epoch[117] Batch [3549]/[3760] Speed: 61.995401 samples/sec accuracy=50.723592 loss=2.090111 lr=0.051840 Epoch[117] Batch [3599]/[3760] Speed: 62.780018 samples/sec accuracy=50.728733 loss=2.089618 lr=0.051825 Epoch[117] Batch [3649]/[3760] Speed: 61.945863 samples/sec accuracy=50.723031 loss=2.089630 lr=0.051811 Epoch[117] Batch [3699]/[3760] Speed: 62.156535 samples/sec accuracy=50.730152 loss=2.089167 lr=0.051797 Epoch[117] Batch [3749]/[3760] Speed: 67.011731 samples/sec accuracy=50.730833 loss=2.089086 lr=0.051783 Batch [0049]/[0303]: acc-top1=50.156250 acc-top5=75.968750 Batch [0099]/[0303]: acc-top1=50.578125 acc-top5=75.906250 Batch [0149]/[0303]: acc-top1=50.145833 acc-top5=75.927083 Batch [0199]/[0303]: acc-top1=50.367188 acc-top5=75.875000 Batch [0249]/[0303]: acc-top1=50.050000 acc-top5=75.937500 Batch [0299]/[0303]: acc-top1=50.161458 acc-top5=76.171875 [Epoch 117] training: accuracy=50.726396 loss=2.089244 [Epoch 117] speed: 61 samples/sec time cost: 4202.466518 [Epoch 117] validation: acc-top1=50.175330 acc-top5=76.175743 loss=2.429965 Epoch[118] Batch [0049]/[3760] Speed: 41.418927 samples/sec accuracy=52.718750 loss=2.010916 lr=0.051766 Epoch[118] Batch [0099]/[3760] Speed: 60.083372 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lr=0.050818 Epoch[118] Batch [3449]/[3760] Speed: 61.820745 samples/sec accuracy=51.000000 loss=2.079817 lr=0.050803 Epoch[118] Batch [3499]/[3760] Speed: 62.000227 samples/sec accuracy=50.977679 loss=2.080382 lr=0.050789 Epoch[118] Batch [3549]/[3760] Speed: 61.332661 samples/sec accuracy=50.969190 loss=2.080268 lr=0.050775 Epoch[118] Batch [3599]/[3760] Speed: 62.275958 samples/sec accuracy=50.953993 loss=2.081156 lr=0.050761 Epoch[118] Batch [3649]/[3760] Speed: 61.565027 samples/sec accuracy=50.947774 loss=2.081622 lr=0.050747 Epoch[118] Batch [3699]/[3760] Speed: 61.861354 samples/sec accuracy=50.953125 loss=2.081291 lr=0.050733 Epoch[118] Batch [3749]/[3760] Speed: 66.065114 samples/sec accuracy=50.941250 loss=2.081642 lr=0.050719 Batch [0049]/[0303]: acc-top1=49.281250 acc-top5=75.468750 Batch [0099]/[0303]: acc-top1=50.421875 acc-top5=76.218750 Batch [0149]/[0303]: acc-top1=50.177083 acc-top5=76.260417 Batch [0199]/[0303]: acc-top1=50.328125 acc-top5=76.382812 Batch [0249]/[0303]: acc-top1=50.318750 acc-top5=76.225000 Batch [0299]/[0303]: acc-top1=50.739583 acc-top5=76.395833 [Epoch 118] training: accuracy=50.937500 loss=2.081750 [Epoch 118] speed: 61 samples/sec time cost: 4208.406138 [Epoch 118] validation: acc-top1=50.711634 acc-top5=76.361386 loss=2.274930 Epoch[119] Batch [0049]/[3759] Speed: 41.154382 samples/sec accuracy=53.156250 loss=1.973313 lr=0.050702 Epoch[119] Batch [0099]/[3759] Speed: 60.528904 samples/sec accuracy=53.328125 loss=1.986153 lr=0.050687 Epoch[119] Batch [0149]/[3759] Speed: 60.610814 samples/sec accuracy=52.760417 loss=2.003212 lr=0.050673 Epoch[119] Batch [0199]/[3759] Speed: 60.891468 samples/sec accuracy=52.531250 loss=2.010301 lr=0.050659 Epoch[119] Batch [0249]/[3759] Speed: 61.935379 samples/sec accuracy=52.418750 loss=2.010059 lr=0.050645 Epoch[119] Batch [0299]/[3759] Speed: 60.678913 samples/sec accuracy=52.385417 loss=2.013530 lr=0.050631 Epoch[119] Batch [0349]/[3759] Speed: 61.508117 samples/sec accuracy=52.116071 loss=2.022529 lr=0.050617 Epoch[119] Batch [0399]/[3759] Speed: 61.318081 samples/sec accuracy=51.968750 loss=2.026451 lr=0.050603 Epoch[119] Batch [0449]/[3759] Speed: 62.417375 samples/sec accuracy=51.881944 loss=2.027012 lr=0.050588 Epoch[119] Batch [0499]/[3759] Speed: 61.466707 samples/sec accuracy=51.846875 loss=2.027160 lr=0.050574 Epoch[119] Batch [0549]/[3759] Speed: 62.111017 samples/sec accuracy=51.991477 loss=2.022545 lr=0.050560 Epoch[119] Batch [0599]/[3759] Speed: 61.887485 samples/sec accuracy=51.997396 loss=2.024205 lr=0.050546 Epoch[119] Batch [0649]/[3759] Speed: 62.890948 samples/sec accuracy=51.915865 loss=2.028450 lr=0.050532 Epoch[119] Batch [0699]/[3759] Speed: 62.410741 samples/sec accuracy=51.901786 loss=2.030737 lr=0.050518 Epoch[119] Batch [0749]/[3759] Speed: 61.614708 samples/sec accuracy=51.893750 loss=2.032630 lr=0.050504 Epoch[119] Batch [0799]/[3759] Speed: 61.981261 samples/sec accuracy=51.873047 loss=2.033701 lr=0.050489 Epoch[119] 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accuracy=51.567308 loss=2.040994 lr=0.050348 Epoch[119] Batch [1349]/[3759] Speed: 62.356253 samples/sec accuracy=51.559028 loss=2.040353 lr=0.050334 Epoch[119] Batch [1399]/[3759] Speed: 63.254643 samples/sec accuracy=51.561384 loss=2.039819 lr=0.050320 Epoch[119] Batch [1449]/[3759] Speed: 62.311025 samples/sec accuracy=51.528017 loss=2.040588 lr=0.050306 Epoch[119] Batch [1499]/[3759] Speed: 61.580511 samples/sec accuracy=51.527083 loss=2.042187 lr=0.050292 Epoch[119] Batch [1549]/[3759] Speed: 62.766283 samples/sec accuracy=51.517137 loss=2.042658 lr=0.050277 Epoch[119] Batch [1599]/[3759] Speed: 62.179723 samples/sec accuracy=51.512695 loss=2.043560 lr=0.050263 Epoch[119] Batch [1649]/[3759] Speed: 62.329728 samples/sec accuracy=51.532197 loss=2.043326 lr=0.050249 Epoch[119] Batch [1699]/[3759] Speed: 62.005725 samples/sec accuracy=51.513787 loss=2.045351 lr=0.050235 Epoch[119] Batch [1749]/[3759] Speed: 62.476077 samples/sec accuracy=51.533036 loss=2.044651 lr=0.050221 Epoch[119] 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accuracy=51.419444 loss=2.055309 lr=0.050080 Epoch[119] Batch [2299]/[3759] Speed: 63.188773 samples/sec accuracy=51.416440 loss=2.055098 lr=0.050065 Epoch[119] Batch [2349]/[3759] Speed: 62.331955 samples/sec accuracy=51.414229 loss=2.056210 lr=0.050051 Epoch[119] Batch [2399]/[3759] Speed: 62.428570 samples/sec accuracy=51.398438 loss=2.056832 lr=0.050037 Epoch[119] Batch [2449]/[3759] Speed: 61.452053 samples/sec accuracy=51.402423 loss=2.056631 lr=0.050023 Epoch[119] Batch [2499]/[3759] Speed: 63.124601 samples/sec accuracy=51.382500 loss=2.057937 lr=0.050009 Epoch[119] Batch [2549]/[3759] Speed: 61.905572 samples/sec accuracy=51.376225 loss=2.058644 lr=0.049995 Epoch[119] Batch [2599]/[3759] Speed: 62.863875 samples/sec accuracy=51.361779 loss=2.059988 lr=0.049981 Epoch[119] Batch [2649]/[3759] Speed: 61.688843 samples/sec accuracy=51.346108 loss=2.061101 lr=0.049966 Epoch[119] Batch [2699]/[3759] Speed: 62.127739 samples/sec accuracy=51.354745 loss=2.060728 lr=0.049952 Epoch[119] Batch [2749]/[3759] Speed: 62.523962 samples/sec accuracy=51.322727 loss=2.062776 lr=0.049938 Epoch[119] Batch [2799]/[3759] Speed: 61.773051 samples/sec accuracy=51.320312 loss=2.062181 lr=0.049924 Epoch[119] Batch [2849]/[3759] Speed: 62.079151 samples/sec accuracy=51.288377 loss=2.063736 lr=0.049910 Epoch[119] Batch [2899]/[3759] Speed: 62.069681 samples/sec accuracy=51.271552 loss=2.064469 lr=0.049896 Epoch[119] Batch [2949]/[3759] Speed: 62.481190 samples/sec accuracy=51.254767 loss=2.065598 lr=0.049882 Epoch[119] Batch [2999]/[3759] Speed: 62.480469 samples/sec accuracy=51.242708 loss=2.065821 lr=0.049868 Epoch[119] Batch [3049]/[3759] Speed: 62.171177 samples/sec accuracy=51.227971 loss=2.066945 lr=0.049853 Epoch[119] Batch [3099]/[3759] Speed: 61.889080 samples/sec accuracy=51.227823 loss=2.066980 lr=0.049839 Epoch[119] Batch [3149]/[3759] Speed: 62.185502 samples/sec accuracy=51.232639 loss=2.067410 lr=0.049825 Epoch[119] Batch [3199]/[3759] Speed: 61.914662 samples/sec accuracy=51.248047 loss=2.067299 lr=0.049811 Epoch[119] Batch [3249]/[3759] Speed: 61.703540 samples/sec accuracy=51.255288 loss=2.066402 lr=0.049797 Epoch[119] Batch [3299]/[3759] Speed: 61.704897 samples/sec accuracy=51.256629 loss=2.066905 lr=0.049783 Epoch[119] Batch [3349]/[3759] Speed: 62.295715 samples/sec accuracy=51.251399 loss=2.067289 lr=0.049769 Epoch[119] Batch [3399]/[3759] Speed: 60.857001 samples/sec accuracy=51.245404 loss=2.068041 lr=0.049755 Epoch[119] Batch [3449]/[3759] Speed: 61.647149 samples/sec accuracy=51.213315 loss=2.069471 lr=0.049740 Epoch[119] Batch [3499]/[3759] Speed: 60.809139 samples/sec accuracy=51.199107 loss=2.070189 lr=0.049726 Epoch[119] Batch [3549]/[3759] Speed: 62.331445 samples/sec accuracy=51.203785 loss=2.070681 lr=0.049712 Epoch[119] Batch [3599]/[3759] Speed: 61.387725 samples/sec accuracy=51.210503 loss=2.069931 lr=0.049698 Epoch[119] Batch [3649]/[3759] Speed: 62.439677 samples/sec accuracy=51.191781 loss=2.071199 lr=0.049684 Epoch[119] Batch [3699]/[3759] Speed: 61.125851 samples/sec accuracy=51.157939 loss=2.072392 lr=0.049670 Epoch[119] Batch [3749]/[3759] Speed: 67.459985 samples/sec accuracy=51.137500 loss=2.073740 lr=0.049656 Batch [0049]/[0303]: acc-top1=49.375000 acc-top5=75.531250 Batch [0099]/[0303]: acc-top1=50.734375 acc-top5=76.109375 Batch [0149]/[0303]: acc-top1=50.166667 acc-top5=75.520833 Batch [0199]/[0303]: acc-top1=50.250000 acc-top5=75.617188 Batch [0249]/[0303]: acc-top1=49.806250 acc-top5=75.462500 Batch [0299]/[0303]: acc-top1=50.119792 acc-top5=75.656250 [Epoch 119] training: accuracy=51.140596 loss=2.073618 [Epoch 119] speed: 61 samples/sec time cost: 4194.874426 [Epoch 119] validation: acc-top1=50.082508 acc-top5=75.613655 loss=2.390604 Epoch[120] Batch [0049]/[3760] Speed: 41.623557 samples/sec accuracy=51.875000 loss=2.030023 lr=0.049639 Epoch[120] Batch [0099]/[3760] Speed: 60.411568 samples/sec accuracy=52.859375 loss=1.997511 lr=0.049625 Epoch[120] Batch [0149]/[3760] Speed: 60.947407 samples/sec accuracy=52.468750 loss=2.005591 lr=0.049611 Epoch[120] Batch [0199]/[3760] Speed: 60.818787 samples/sec accuracy=52.382812 loss=2.013924 lr=0.049597 Epoch[120] Batch [0249]/[3760] Speed: 61.257643 samples/sec accuracy=52.418750 loss=2.013575 lr=0.049583 Epoch[120] Batch [0299]/[3760] Speed: 60.929692 samples/sec accuracy=52.463542 loss=2.009516 lr=0.049569 Epoch[120] Batch [0349]/[3760] Speed: 62.332693 samples/sec accuracy=52.258929 loss=2.016498 lr=0.049554 Epoch[120] Batch [0399]/[3760] Speed: 61.238116 samples/sec accuracy=52.222656 loss=2.018527 lr=0.049540 Epoch[120] Batch [0449]/[3760] Speed: 61.463616 samples/sec accuracy=52.142361 loss=2.022115 lr=0.049526 Epoch[120] Batch [0499]/[3760] Speed: 61.844498 samples/sec accuracy=52.034375 loss=2.028306 lr=0.049512 Epoch[120] Batch [0549]/[3760] Speed: 62.824955 samples/sec accuracy=52.068182 loss=2.027069 lr=0.049498 Epoch[120] Batch [0599]/[3760] Speed: 61.608866 samples/sec accuracy=52.075521 loss=2.028568 lr=0.049484 Epoch[120] Batch [0649]/[3760] Speed: 61.752583 samples/sec accuracy=52.120192 loss=2.029674 lr=0.049470 Epoch[120] Batch [0699]/[3760] Speed: 62.301207 samples/sec accuracy=52.104911 loss=2.028216 lr=0.049456 Epoch[120] Batch [0749]/[3760] Speed: 62.343035 samples/sec accuracy=52.110417 loss=2.027824 lr=0.049441 Epoch[120] Batch [0799]/[3760] Speed: 61.864397 samples/sec accuracy=52.058594 loss=2.030600 lr=0.049427 Epoch[120] Batch [0849]/[3760] Speed: 62.277894 samples/sec accuracy=52.102941 loss=2.027297 lr=0.049413 Epoch[120] Batch [0899]/[3760] Speed: 62.734623 samples/sec accuracy=52.090278 loss=2.029242 lr=0.049399 Epoch[120] Batch [0949]/[3760] Speed: 63.189599 samples/sec accuracy=52.092105 loss=2.029163 lr=0.049385 Epoch[120] Batch [0999]/[3760] Speed: 62.075242 samples/sec accuracy=52.048437 loss=2.032242 lr=0.049371 Epoch[120] Batch [1049]/[3760] Speed: 61.686822 samples/sec accuracy=52.034226 loss=2.032743 lr=0.049357 Epoch[120] Batch [1099]/[3760] Speed: 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lr=0.048948 Epoch[120] Batch [2549]/[3760] Speed: 62.774161 samples/sec accuracy=51.599877 loss=2.051252 lr=0.048934 Epoch[120] Batch [2599]/[3760] Speed: 62.014494 samples/sec accuracy=51.587139 loss=2.052356 lr=0.048919 Epoch[120] Batch [2649]/[3760] Speed: 63.320484 samples/sec accuracy=51.598467 loss=2.052056 lr=0.048905 Epoch[120] Batch [2699]/[3760] Speed: 60.758937 samples/sec accuracy=51.587384 loss=2.052785 lr=0.048891 Epoch[120] Batch [2749]/[3760] Speed: 62.394966 samples/sec accuracy=51.594886 loss=2.053092 lr=0.048877 Epoch[120] Batch [2799]/[3760] Speed: 61.065192 samples/sec accuracy=51.605469 loss=2.053104 lr=0.048863 Epoch[120] Batch [2849]/[3760] Speed: 63.090634 samples/sec accuracy=51.588268 loss=2.054602 lr=0.048849 Epoch[120] Batch [2899]/[3760] Speed: 60.660408 samples/sec accuracy=51.578664 loss=2.055410 lr=0.048835 Epoch[120] Batch [2949]/[3760] Speed: 62.169430 samples/sec accuracy=51.582627 loss=2.054639 lr=0.048821 Epoch[120] Batch [2999]/[3760] Speed: 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lr=0.048680 Epoch[120] Batch [3499]/[3760] Speed: 61.736185 samples/sec accuracy=51.509821 loss=2.057496 lr=0.048666 Epoch[120] Batch [3549]/[3760] Speed: 60.841949 samples/sec accuracy=51.492518 loss=2.057739 lr=0.048652 Epoch[120] Batch [3599]/[3760] Speed: 62.310297 samples/sec accuracy=51.486979 loss=2.057898 lr=0.048638 Epoch[120] Batch [3649]/[3760] Speed: 61.029198 samples/sec accuracy=51.494007 loss=2.057905 lr=0.048623 Epoch[120] Batch [3699]/[3760] Speed: 61.387635 samples/sec accuracy=51.497044 loss=2.057739 lr=0.048609 Epoch[120] Batch [3749]/[3760] Speed: 67.282013 samples/sec accuracy=51.473750 loss=2.058800 lr=0.048595 Batch [0049]/[0303]: acc-top1=50.281250 acc-top5=75.812500 Batch [0099]/[0303]: acc-top1=51.250000 acc-top5=76.484375 Batch [0149]/[0303]: acc-top1=50.937500 acc-top5=76.250000 Batch [0199]/[0303]: acc-top1=50.992188 acc-top5=76.500000 Batch [0249]/[0303]: acc-top1=50.737500 acc-top5=76.431250 Batch [0299]/[0303]: acc-top1=51.036458 acc-top5=76.697917 [Epoch 120] training: accuracy=51.471493 loss=2.058992 [Epoch 120] speed: 61 samples/sec time cost: 4207.815369 [Epoch 120] validation: acc-top1=51.026196 acc-top5=76.650165 loss=2.371272 Epoch[121] Batch [0049]/[3760] Speed: 41.398288 samples/sec accuracy=52.625000 loss=2.003351 lr=0.048578 Epoch[121] Batch [0099]/[3760] Speed: 60.373153 samples/sec accuracy=52.062500 loss=2.014529 lr=0.048564 Epoch[121] Batch [0149]/[3760] Speed: 60.532819 samples/sec accuracy=52.177083 loss=2.013479 lr=0.048550 Epoch[121] Batch [0199]/[3760] Speed: 60.915497 samples/sec accuracy=51.835937 loss=2.022090 lr=0.048536 Epoch[121] Batch [0249]/[3760] Speed: 61.648876 samples/sec accuracy=51.925000 loss=2.029573 lr=0.048522 Epoch[121] Batch [0299]/[3760] Speed: 61.275564 samples/sec accuracy=51.708333 loss=2.038304 lr=0.048508 Epoch[121] Batch [0349]/[3760] Speed: 61.382501 samples/sec accuracy=51.790179 loss=2.031621 lr=0.048494 Epoch[121] Batch [0399]/[3760] Speed: 60.104534 samples/sec accuracy=51.886719 loss=2.028147 lr=0.048480 Epoch[121] Batch [0449]/[3760] Speed: 61.835143 samples/sec accuracy=51.843750 loss=2.029341 lr=0.048466 Epoch[121] Batch [0499]/[3760] Speed: 60.404361 samples/sec accuracy=51.865625 loss=2.029009 lr=0.048452 Epoch[121] Batch [0549]/[3760] Speed: 61.810044 samples/sec accuracy=51.875000 loss=2.028582 lr=0.048438 Epoch[121] Batch [0599]/[3760] Speed: 60.600799 samples/sec accuracy=51.942708 loss=2.025394 lr=0.048423 Epoch[121] Batch [0649]/[3760] Speed: 62.566826 samples/sec accuracy=51.990385 loss=2.025007 lr=0.048409 Epoch[121] Batch [0699]/[3760] Speed: 61.444580 samples/sec accuracy=51.866071 loss=2.029185 lr=0.048395 Epoch[121] Batch [0749]/[3760] Speed: 61.919537 samples/sec accuracy=51.866667 loss=2.030278 lr=0.048381 Epoch[121] Batch [0799]/[3760] Speed: 61.931959 samples/sec accuracy=51.890625 loss=2.030022 lr=0.048367 Epoch[121] Batch [0849]/[3760] Speed: 62.416383 samples/sec accuracy=51.976103 loss=2.029554 lr=0.048353 Epoch[121] 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accuracy=51.974537 loss=2.034496 lr=0.048212 Epoch[121] Batch [1399]/[3760] Speed: 62.311418 samples/sec accuracy=51.993304 loss=2.033649 lr=0.048198 Epoch[121] Batch [1449]/[3760] Speed: 62.377809 samples/sec accuracy=51.966595 loss=2.031922 lr=0.048184 Epoch[121] Batch [1499]/[3760] Speed: 61.788489 samples/sec accuracy=51.918750 loss=2.033959 lr=0.048170 Epoch[121] Batch [1549]/[3760] Speed: 62.651627 samples/sec accuracy=51.879032 loss=2.035379 lr=0.048156 Epoch[121] Batch [1599]/[3760] Speed: 61.871395 samples/sec accuracy=51.893555 loss=2.034832 lr=0.048142 Epoch[121] Batch [1649]/[3760] Speed: 62.492953 samples/sec accuracy=51.935606 loss=2.032355 lr=0.048128 Epoch[121] Batch [1699]/[3760] Speed: 60.711308 samples/sec accuracy=51.925551 loss=2.032992 lr=0.048114 Epoch[121] Batch [1749]/[3760] Speed: 62.815040 samples/sec accuracy=51.872321 loss=2.035500 lr=0.048100 Epoch[121] Batch [1799]/[3760] Speed: 61.743605 samples/sec accuracy=51.926215 loss=2.034804 lr=0.048085 Epoch[121] Batch [1849]/[3760] Speed: 62.742183 samples/sec accuracy=51.847973 loss=2.036706 lr=0.048071 Epoch[121] Batch [1899]/[3760] Speed: 61.077630 samples/sec accuracy=51.850329 loss=2.037083 lr=0.048057 Epoch[121] Batch [1949]/[3760] Speed: 62.758980 samples/sec accuracy=51.870192 loss=2.037527 lr=0.048043 Epoch[121] Batch [1999]/[3760] Speed: 61.672535 samples/sec accuracy=51.838281 loss=2.039219 lr=0.048029 Epoch[121] Batch [2049]/[3760] Speed: 62.892646 samples/sec accuracy=51.852896 loss=2.038554 lr=0.048015 Epoch[121] Batch [2099]/[3760] Speed: 61.386624 samples/sec accuracy=51.804315 loss=2.040403 lr=0.048001 Epoch[121] Batch [2149]/[3760] Speed: 62.869183 samples/sec accuracy=51.771802 loss=2.042210 lr=0.047987 Epoch[121] Batch [2199]/[3760] Speed: 61.503522 samples/sec accuracy=51.747159 loss=2.042996 lr=0.047973 Epoch[121] Batch [2249]/[3760] Speed: 62.747275 samples/sec accuracy=51.748611 loss=2.044030 lr=0.047959 Epoch[121] Batch [2299]/[3760] Speed: 60.819474 samples/sec accuracy=51.737772 loss=2.043605 lr=0.047945 Epoch[121] Batch [2349]/[3760] Speed: 62.609893 samples/sec accuracy=51.730053 loss=2.044396 lr=0.047931 Epoch[121] Batch [2399]/[3760] Speed: 60.662268 samples/sec accuracy=51.751302 loss=2.044531 lr=0.047917 Epoch[121] Batch [2449]/[3760] Speed: 62.260572 samples/sec accuracy=51.761480 loss=2.044618 lr=0.047903 Epoch[121] Batch [2499]/[3760] Speed: 60.501177 samples/sec accuracy=51.730625 loss=2.044660 lr=0.047888 Epoch[121] Batch [2549]/[3760] Speed: 62.080263 samples/sec accuracy=51.740196 loss=2.044572 lr=0.047874 Epoch[121] Batch [2599]/[3760] Speed: 60.776573 samples/sec accuracy=51.738582 loss=2.044587 lr=0.047860 Epoch[121] Batch [2649]/[3760] Speed: 61.526729 samples/sec accuracy=51.710495 loss=2.045045 lr=0.047846 Epoch[121] Batch [2699]/[3760] Speed: 60.304969 samples/sec accuracy=51.708333 loss=2.045637 lr=0.047832 Epoch[121] Batch [2749]/[3760] Speed: 61.429590 samples/sec accuracy=51.701705 loss=2.045623 lr=0.047818 Epoch[121] Batch [2799]/[3760] Speed: 61.627452 samples/sec accuracy=51.699219 loss=2.045310 lr=0.047804 Epoch[121] Batch [2849]/[3760] Speed: 61.364819 samples/sec accuracy=51.679276 loss=2.046302 lr=0.047790 Epoch[121] Batch [2899]/[3760] Speed: 60.961685 samples/sec accuracy=51.682112 loss=2.046314 lr=0.047776 Epoch[121] Batch [2949]/[3760] Speed: 61.320231 samples/sec accuracy=51.643538 loss=2.047152 lr=0.047762 Epoch[121] Batch [2999]/[3760] Speed: 61.963384 samples/sec accuracy=51.649479 loss=2.046894 lr=0.047748 Epoch[121] Batch [3049]/[3760] Speed: 61.110669 samples/sec accuracy=51.635246 loss=2.047308 lr=0.047734 Epoch[121] Batch [3099]/[3760] Speed: 61.452836 samples/sec accuracy=51.630544 loss=2.047893 lr=0.047720 Epoch[121] Batch [3149]/[3760] Speed: 60.684366 samples/sec accuracy=51.616567 loss=2.048895 lr=0.047706 Epoch[121] Batch [3199]/[3760] Speed: 61.890881 samples/sec accuracy=51.605957 loss=2.049271 lr=0.047692 Epoch[121] Batch [3249]/[3760] Speed: 59.615661 samples/sec accuracy=51.597115 loss=2.050030 lr=0.047678 Epoch[121] Batch [3299]/[3760] Speed: 63.459287 samples/sec accuracy=51.585227 loss=2.051232 lr=0.047663 Epoch[121] Batch [3349]/[3760] Speed: 61.305278 samples/sec accuracy=51.570429 loss=2.052086 lr=0.047649 Epoch[121] Batch [3399]/[3760] Speed: 62.315615 samples/sec accuracy=51.583640 loss=2.052049 lr=0.047635 Epoch[121] Batch [3449]/[3760] Speed: 59.360149 samples/sec accuracy=51.601449 loss=2.051103 lr=0.047621 Epoch[121] Batch [3499]/[3760] Speed: 63.434163 samples/sec accuracy=51.595536 loss=2.051828 lr=0.047607 Epoch[121] Batch [3549]/[3760] Speed: 60.176537 samples/sec accuracy=51.591549 loss=2.051644 lr=0.047593 Epoch[121] Batch [3599]/[3760] Speed: 62.822183 samples/sec accuracy=51.585938 loss=2.051600 lr=0.047579 Epoch[121] Batch [3649]/[3760] Speed: 59.433308 samples/sec accuracy=51.575771 loss=2.052088 lr=0.047565 Epoch[121] Batch [3699]/[3760] Speed: 63.233010 samples/sec accuracy=51.585726 loss=2.051464 lr=0.047551 Epoch[121] Batch [3749]/[3760] Speed: 66.675860 samples/sec accuracy=51.577500 loss=2.052531 lr=0.047537 Batch [0049]/[0303]: acc-top1=49.656250 acc-top5=75.468750 Batch [0099]/[0303]: acc-top1=50.390625 acc-top5=76.140625 Batch [0149]/[0303]: acc-top1=50.145833 acc-top5=75.906250 Batch [0199]/[0303]: acc-top1=50.390625 acc-top5=75.960938 Batch [0249]/[0303]: acc-top1=49.937500 acc-top5=75.675000 Batch [0299]/[0303]: acc-top1=50.114583 acc-top5=75.916667 [Epoch 121] training: accuracy=51.574551 loss=2.052556 [Epoch 121] speed: 61 samples/sec time cost: 4218.681011 [Epoch 121] validation: acc-top1=50.092822 acc-top5=75.886964 loss=2.445329 Epoch[122] Batch [0049]/[3759] Speed: 41.293628 samples/sec accuracy=53.500000 loss=1.975789 lr=0.047520 Epoch[122] Batch [0099]/[3759] Speed: 60.130174 samples/sec accuracy=53.265625 loss=1.985349 lr=0.047506 Epoch[122] Batch [0149]/[3759] Speed: 61.317234 samples/sec accuracy=53.687500 loss=1.977218 lr=0.047492 Epoch[122] Batch [0199]/[3759] Speed: 60.067897 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lr=0.046551 Epoch[122] Batch [3549]/[3759] Speed: 62.642839 samples/sec accuracy=52.106514 loss=2.029561 lr=0.046537 Epoch[122] Batch [3599]/[3759] Speed: 62.960454 samples/sec accuracy=52.119792 loss=2.029201 lr=0.046523 Epoch[122] Batch [3649]/[3759] Speed: 62.224022 samples/sec accuracy=52.115582 loss=2.029501 lr=0.046509 Epoch[122] Batch [3699]/[3759] Speed: 62.399327 samples/sec accuracy=52.116554 loss=2.029914 lr=0.046495 Epoch[122] Batch [3749]/[3759] Speed: 67.844098 samples/sec accuracy=52.102083 loss=2.030331 lr=0.046481 Batch [0049]/[0303]: acc-top1=50.625000 acc-top5=76.437500 Batch [0099]/[0303]: acc-top1=50.703125 acc-top5=76.953125 Batch [0149]/[0303]: acc-top1=50.687500 acc-top5=76.750000 Batch [0199]/[0303]: acc-top1=51.023438 acc-top5=76.843750 Batch [0249]/[0303]: acc-top1=50.725000 acc-top5=76.306250 Batch [0299]/[0303]: acc-top1=51.036458 acc-top5=76.458333 [Epoch 122] training: accuracy=52.101623 loss=2.030527 [Epoch 122] speed: 61 samples/sec time cost: 4188.121387 [Epoch 122] validation: acc-top1=50.964315 acc-top5=76.433581 loss=2.349676 Epoch[123] Batch [0049]/[3760] Speed: 41.463998 samples/sec accuracy=52.812500 loss=1.962135 lr=0.046465 Epoch[123] Batch [0099]/[3760] Speed: 59.702918 samples/sec accuracy=53.140625 loss=1.969950 lr=0.046451 Epoch[123] Batch [0149]/[3760] Speed: 61.305170 samples/sec accuracy=52.989583 loss=1.987799 lr=0.046437 Epoch[123] Batch [0199]/[3760] Speed: 60.055808 samples/sec accuracy=52.757812 loss=2.004038 lr=0.046423 Epoch[123] Batch [0249]/[3760] Speed: 61.963363 samples/sec accuracy=52.500000 loss=2.007020 lr=0.046409 Epoch[123] Batch [0299]/[3760] Speed: 60.409186 samples/sec accuracy=52.515625 loss=2.003877 lr=0.046395 Epoch[123] Batch [0349]/[3760] Speed: 62.030790 samples/sec accuracy=52.553571 loss=1.995953 lr=0.046381 Epoch[123] Batch [0399]/[3760] Speed: 61.231553 samples/sec accuracy=52.734375 loss=1.990110 lr=0.046367 Epoch[123] Batch [0449]/[3760] Speed: 62.776035 samples/sec accuracy=52.614583 loss=1.996742 lr=0.046353 Epoch[123] Batch [0499]/[3760] Speed: 60.486821 samples/sec accuracy=52.456250 loss=2.004352 lr=0.046339 Epoch[123] Batch [0549]/[3760] Speed: 62.418283 samples/sec accuracy=52.289773 loss=2.011699 lr=0.046325 Epoch[123] Batch [0599]/[3760] Speed: 61.239485 samples/sec accuracy=52.302083 loss=2.011665 lr=0.046311 Epoch[123] Batch [0649]/[3760] Speed: 61.608925 samples/sec accuracy=52.362981 loss=2.009043 lr=0.046297 Epoch[123] Batch [0699]/[3760] Speed: 62.138124 samples/sec accuracy=52.339286 loss=2.010953 lr=0.046283 Epoch[123] Batch [0749]/[3760] Speed: 62.204865 samples/sec accuracy=52.275000 loss=2.012965 lr=0.046269 Epoch[123] Batch [0799]/[3760] Speed: 62.517156 samples/sec accuracy=52.361328 loss=2.010637 lr=0.046255 Epoch[123] Batch [0849]/[3760] Speed: 61.282988 samples/sec accuracy=52.319853 loss=2.012990 lr=0.046241 Epoch[123] Batch [0899]/[3760] Speed: 62.844617 samples/sec accuracy=52.223958 loss=2.015596 lr=0.046227 Epoch[123] 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accuracy=52.412946 loss=2.011368 lr=0.046087 Epoch[123] Batch [1449]/[3760] Speed: 61.512578 samples/sec accuracy=52.356681 loss=2.012672 lr=0.046073 Epoch[123] Batch [1499]/[3760] Speed: 63.073393 samples/sec accuracy=52.336458 loss=2.014109 lr=0.046059 Epoch[123] Batch [1549]/[3760] Speed: 62.665440 samples/sec accuracy=52.289315 loss=2.015297 lr=0.046045 Epoch[123] Batch [1599]/[3760] Speed: 62.916872 samples/sec accuracy=52.290039 loss=2.014786 lr=0.046031 Epoch[123] Batch [1649]/[3760] Speed: 61.267917 samples/sec accuracy=52.287879 loss=2.014242 lr=0.046017 Epoch[123] Batch [1699]/[3760] Speed: 62.712844 samples/sec accuracy=52.281250 loss=2.014536 lr=0.046003 Epoch[123] Batch [1749]/[3760] Speed: 61.796387 samples/sec accuracy=52.295536 loss=2.014030 lr=0.045989 Epoch[123] Batch [1799]/[3760] Speed: 62.844688 samples/sec accuracy=52.227431 loss=2.016330 lr=0.045975 Epoch[123] Batch [1849]/[3760] Speed: 61.512909 samples/sec accuracy=52.221284 loss=2.015615 lr=0.045961 Epoch[123] 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accuracy=52.146941 loss=2.021135 lr=0.045821 Epoch[123] Batch [2399]/[3760] Speed: 62.877365 samples/sec accuracy=52.130859 loss=2.021593 lr=0.045807 Epoch[123] Batch [2449]/[3760] Speed: 62.286681 samples/sec accuracy=52.121173 loss=2.022332 lr=0.045793 Epoch[123] Batch [2499]/[3760] Speed: 62.244579 samples/sec accuracy=52.158750 loss=2.020671 lr=0.045779 Epoch[123] Batch [2549]/[3760] Speed: 62.599099 samples/sec accuracy=52.154412 loss=2.020973 lr=0.045765 Epoch[123] Batch [2599]/[3760] Speed: 62.269760 samples/sec accuracy=52.138822 loss=2.021470 lr=0.045751 Epoch[123] Batch [2649]/[3760] Speed: 62.631916 samples/sec accuracy=52.159198 loss=2.020874 lr=0.045737 Epoch[123] Batch [2699]/[3760] Speed: 61.963708 samples/sec accuracy=52.171875 loss=2.020346 lr=0.045723 Epoch[123] Batch [2749]/[3760] Speed: 62.959759 samples/sec accuracy=52.158523 loss=2.021373 lr=0.045709 Epoch[123] Batch [2799]/[3760] Speed: 61.904433 samples/sec accuracy=52.169085 loss=2.020852 lr=0.045695 Epoch[123] 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accuracy=52.187027 loss=2.022290 lr=0.045555 Epoch[123] Batch [3349]/[3760] Speed: 62.658627 samples/sec accuracy=52.200560 loss=2.021884 lr=0.045541 Epoch[123] Batch [3399]/[3760] Speed: 62.090494 samples/sec accuracy=52.202665 loss=2.021954 lr=0.045527 Epoch[123] Batch [3449]/[3760] Speed: 62.110737 samples/sec accuracy=52.198822 loss=2.022226 lr=0.045513 Epoch[123] Batch [3499]/[3760] Speed: 61.964034 samples/sec accuracy=52.189732 loss=2.022457 lr=0.045499 Epoch[123] Batch [3549]/[3760] Speed: 62.916923 samples/sec accuracy=52.183539 loss=2.022428 lr=0.045485 Epoch[123] Batch [3599]/[3760] Speed: 62.680848 samples/sec accuracy=52.184028 loss=2.022741 lr=0.045471 Epoch[123] Batch [3649]/[3760] Speed: 61.969281 samples/sec accuracy=52.193493 loss=2.022635 lr=0.045457 Epoch[123] Batch [3699]/[3760] Speed: 62.680269 samples/sec accuracy=52.178632 loss=2.023112 lr=0.045443 Epoch[123] Batch [3749]/[3760] Speed: 67.027480 samples/sec accuracy=52.168333 loss=2.023819 lr=0.045429 Batch [0049]/[0303]: acc-top1=51.562500 acc-top5=76.968750 Batch [0099]/[0303]: acc-top1=52.375000 acc-top5=77.203125 Batch [0149]/[0303]: acc-top1=52.187500 acc-top5=77.093750 Batch [0199]/[0303]: acc-top1=52.140625 acc-top5=77.242188 Batch [0249]/[0303]: acc-top1=52.056250 acc-top5=77.025000 Batch [0299]/[0303]: acc-top1=52.244792 acc-top5=77.088542 [Epoch 123] training: accuracy=52.158826 loss=2.024227 [Epoch 123] speed: 61 samples/sec time cost: 4190.596573 [Epoch 123] validation: acc-top1=52.212252 acc-top5=77.042079 loss=2.227321 Epoch[124] Batch [0049]/[3760] Speed: 41.413545 samples/sec accuracy=53.093750 loss=1.974534 lr=0.045413 Epoch[124] Batch [0099]/[3760] Speed: 59.734420 samples/sec accuracy=53.296875 loss=1.964482 lr=0.045399 Epoch[124] Batch [0149]/[3760] Speed: 61.090514 samples/sec accuracy=53.552083 loss=1.961752 lr=0.045385 Epoch[124] Batch [0199]/[3760] Speed: 60.013942 samples/sec accuracy=53.375000 loss=1.964693 lr=0.045371 Epoch[124] Batch [0249]/[3760] Speed: 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lr=0.044436 Epoch[124] Batch [3599]/[3760] Speed: 62.488490 samples/sec accuracy=52.289063 loss=2.014846 lr=0.044422 Epoch[124] Batch [3649]/[3760] Speed: 61.913230 samples/sec accuracy=52.280822 loss=2.015710 lr=0.044408 Epoch[124] Batch [3699]/[3760] Speed: 62.543182 samples/sec accuracy=52.279561 loss=2.015651 lr=0.044395 Epoch[124] Batch [3749]/[3760] Speed: 67.173787 samples/sec accuracy=52.260000 loss=2.016122 lr=0.044381 Batch [0049]/[0303]: acc-top1=51.000000 acc-top5=75.593750 Batch [0099]/[0303]: acc-top1=52.203125 acc-top5=76.921875 Batch [0149]/[0303]: acc-top1=51.645833 acc-top5=76.781250 Batch [0199]/[0303]: acc-top1=51.890625 acc-top5=76.914062 Batch [0249]/[0303]: acc-top1=51.512500 acc-top5=76.693750 Batch [0299]/[0303]: acc-top1=51.578125 acc-top5=76.901042 [Epoch 124] training: accuracy=52.247340 loss=2.016676 [Epoch 124] speed: 61 samples/sec time cost: 4196.049692 [Epoch 124] validation: acc-top1=51.531559 acc-top5=76.861592 loss=2.252653 Epoch[125] Batch 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accuracy=53.009698 loss=1.981089 lr=0.043974 Epoch[125] Batch [1499]/[3759] Speed: 61.962953 samples/sec accuracy=53.000000 loss=1.980625 lr=0.043961 Epoch[125] Batch [1549]/[3759] Speed: 62.053752 samples/sec accuracy=52.984879 loss=1.980233 lr=0.043947 Epoch[125] Batch [1599]/[3759] Speed: 62.728375 samples/sec accuracy=52.956055 loss=1.981236 lr=0.043933 Epoch[125] Batch [1649]/[3759] Speed: 61.574330 samples/sec accuracy=52.950758 loss=1.981716 lr=0.043919 Epoch[125] Batch [1699]/[3759] Speed: 61.936369 samples/sec accuracy=52.937500 loss=1.982194 lr=0.043905 Epoch[125] Batch [1749]/[3759] Speed: 61.877740 samples/sec accuracy=52.940179 loss=1.982270 lr=0.043891 Epoch[125] Batch [1799]/[3759] Speed: 62.583768 samples/sec accuracy=52.937500 loss=1.983093 lr=0.043877 Epoch[125] Batch [1849]/[3759] Speed: 61.261931 samples/sec accuracy=52.907939 loss=1.985588 lr=0.043863 Epoch[125] Batch [1899]/[3759] Speed: 62.129446 samples/sec accuracy=52.900493 loss=1.986415 lr=0.043849 Epoch[125] 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accuracy=52.770833 loss=1.993153 lr=0.043711 Epoch[125] Batch [2449]/[3759] Speed: 62.133705 samples/sec accuracy=52.767857 loss=1.993926 lr=0.043697 Epoch[125] Batch [2499]/[3759] Speed: 61.206981 samples/sec accuracy=52.770625 loss=1.993990 lr=0.043683 Epoch[125] Batch [2549]/[3759] Speed: 62.636248 samples/sec accuracy=52.745711 loss=1.994900 lr=0.043669 Epoch[125] Batch [2599]/[3759] Speed: 62.446588 samples/sec accuracy=52.728365 loss=1.996204 lr=0.043655 Epoch[125] Batch [2649]/[3759] Speed: 62.712126 samples/sec accuracy=52.720519 loss=1.996329 lr=0.043641 Epoch[125] Batch [2699]/[3759] Speed: 61.652453 samples/sec accuracy=52.725116 loss=1.995980 lr=0.043627 Epoch[125] Batch [2749]/[3759] Speed: 62.682376 samples/sec accuracy=52.739773 loss=1.996574 lr=0.043613 Epoch[125] Batch [2799]/[3759] Speed: 61.932045 samples/sec accuracy=52.732701 loss=1.996132 lr=0.043599 Epoch[125] Batch [2849]/[3759] Speed: 62.556430 samples/sec accuracy=52.752193 loss=1.995502 lr=0.043586 Epoch[125] 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accuracy=52.648321 loss=1.999740 lr=0.043447 Epoch[125] Batch [3399]/[3759] Speed: 62.427514 samples/sec accuracy=52.642004 loss=2.000090 lr=0.043433 Epoch[125] Batch [3449]/[3759] Speed: 62.062701 samples/sec accuracy=52.627264 loss=2.000757 lr=0.043419 Epoch[125] Batch [3499]/[3759] Speed: 61.007999 samples/sec accuracy=52.618304 loss=2.001093 lr=0.043405 Epoch[125] Batch [3549]/[3759] Speed: 62.876403 samples/sec accuracy=52.594190 loss=2.001501 lr=0.043391 Epoch[125] Batch [3599]/[3759] Speed: 62.200135 samples/sec accuracy=52.606337 loss=2.001287 lr=0.043377 Epoch[125] Batch [3649]/[3759] Speed: 62.858328 samples/sec accuracy=52.603596 loss=2.001656 lr=0.043364 Epoch[125] Batch [3699]/[3759] Speed: 61.289659 samples/sec accuracy=52.572635 loss=2.002094 lr=0.043350 Epoch[125] Batch [3749]/[3759] Speed: 68.365448 samples/sec accuracy=52.572500 loss=2.002223 lr=0.043336 Batch [0049]/[0303]: acc-top1=50.937500 acc-top5=77.093750 Batch [0099]/[0303]: acc-top1=52.171875 acc-top5=77.671875 Batch [0149]/[0303]: acc-top1=51.885417 acc-top5=77.218750 Batch [0199]/[0303]: acc-top1=51.851562 acc-top5=77.265625 Batch [0249]/[0303]: acc-top1=51.731250 acc-top5=77.268750 Batch [0299]/[0303]: acc-top1=51.890625 acc-top5=77.515625 [Epoch 125] training: accuracy=52.577564 loss=2.002128 [Epoch 125] speed: 61 samples/sec time cost: 4198.629929 [Epoch 125] validation: acc-top1=51.877063 acc-top5=77.470091 loss=2.317527 Epoch[126] Batch [0049]/[3760] Speed: 41.664672 samples/sec accuracy=53.000000 loss=1.919792 lr=0.043320 Epoch[126] Batch [0099]/[3760] Speed: 60.151072 samples/sec accuracy=52.765625 loss=1.967539 lr=0.043306 Epoch[126] Batch [0149]/[3760] Speed: 60.823395 samples/sec accuracy=53.062500 loss=1.966839 lr=0.043292 Epoch[126] Batch [0199]/[3760] Speed: 61.162485 samples/sec accuracy=53.320312 loss=1.954946 lr=0.043278 Epoch[126] Batch [0249]/[3760] Speed: 61.611496 samples/sec accuracy=53.281250 loss=1.946211 lr=0.043264 Epoch[126] Batch [0299]/[3760] 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accuracy=52.987028 loss=1.983937 lr=0.042600 Epoch[126] Batch [2699]/[3760] Speed: 61.633989 samples/sec accuracy=52.982639 loss=1.984580 lr=0.042586 Epoch[126] Batch [2749]/[3760] Speed: 62.686451 samples/sec accuracy=52.956250 loss=1.985104 lr=0.042572 Epoch[126] Batch [2799]/[3760] Speed: 60.948610 samples/sec accuracy=52.939732 loss=1.985493 lr=0.042558 Epoch[126] Batch [2849]/[3760] Speed: 62.179410 samples/sec accuracy=52.946820 loss=1.985633 lr=0.042544 Epoch[126] Batch [2899]/[3760] Speed: 60.852993 samples/sec accuracy=52.955280 loss=1.985981 lr=0.042531 Epoch[126] Batch [2949]/[3760] Speed: 62.154406 samples/sec accuracy=52.948093 loss=1.986059 lr=0.042517 Epoch[126] Batch [2999]/[3760] Speed: 60.762715 samples/sec accuracy=52.932292 loss=1.986886 lr=0.042503 Epoch[126] Batch [3049]/[3760] Speed: 62.136698 samples/sec accuracy=52.940061 loss=1.986574 lr=0.042489 Epoch[126] Batch [3099]/[3760] Speed: 60.854612 samples/sec accuracy=52.922883 loss=1.987168 lr=0.042475 Epoch[126] 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accuracy=52.858507 loss=1.989264 lr=0.042337 Epoch[126] Batch [3649]/[3760] Speed: 62.557567 samples/sec accuracy=52.855736 loss=1.989581 lr=0.042323 Epoch[126] Batch [3699]/[3760] Speed: 61.833160 samples/sec accuracy=52.844172 loss=1.990283 lr=0.042310 Epoch[126] Batch [3749]/[3760] Speed: 66.919586 samples/sec accuracy=52.854583 loss=1.989622 lr=0.042296 Batch [0049]/[0303]: acc-top1=51.562500 acc-top5=77.187500 Batch [0099]/[0303]: acc-top1=52.062500 acc-top5=77.921875 Batch [0149]/[0303]: acc-top1=52.218750 acc-top5=77.552083 Batch [0199]/[0303]: acc-top1=52.687500 acc-top5=77.679688 Batch [0249]/[0303]: acc-top1=52.412500 acc-top5=77.625000 Batch [0299]/[0303]: acc-top1=52.692708 acc-top5=77.973958 [Epoch 126] training: accuracy=52.854471 loss=1.989789 [Epoch 126] speed: 61 samples/sec time cost: 4213.283239 [Epoch 126] validation: acc-top1=52.671205 acc-top5=77.918729 loss=2.209708 Epoch[127] Batch [0049]/[3760] Speed: 41.090165 samples/sec accuracy=54.031250 loss=1.911966 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lr=0.041494 Epoch[127] Batch [2949]/[3760] Speed: 62.370749 samples/sec accuracy=53.229343 loss=1.975122 lr=0.041480 Epoch[127] Batch [2999]/[3760] Speed: 60.417983 samples/sec accuracy=53.213542 loss=1.975584 lr=0.041466 Epoch[127] Batch [3049]/[3760] Speed: 62.401124 samples/sec accuracy=53.212602 loss=1.976599 lr=0.041453 Epoch[127] Batch [3099]/[3760] Speed: 59.489724 samples/sec accuracy=53.219254 loss=1.976325 lr=0.041439 Epoch[127] Batch [3149]/[3760] Speed: 62.729817 samples/sec accuracy=53.214782 loss=1.975918 lr=0.041425 Epoch[127] Batch [3199]/[3760] Speed: 60.705306 samples/sec accuracy=53.214844 loss=1.976233 lr=0.041411 Epoch[127] Batch [3249]/[3760] Speed: 62.013344 samples/sec accuracy=53.203365 loss=1.976677 lr=0.041398 Epoch[127] Batch [3299]/[3760] Speed: 59.593259 samples/sec accuracy=53.214962 loss=1.976507 lr=0.041384 Epoch[127] Batch [3349]/[3760] Speed: 62.025732 samples/sec accuracy=53.233209 loss=1.976041 lr=0.041370 Epoch[127] Batch [3399]/[3760] Speed: 61.265588 samples/sec accuracy=53.244945 loss=1.975652 lr=0.041356 Epoch[127] Batch [3449]/[3760] Speed: 61.731465 samples/sec accuracy=53.229620 loss=1.976590 lr=0.041343 Epoch[127] Batch [3499]/[3760] Speed: 60.818436 samples/sec accuracy=53.220089 loss=1.976143 lr=0.041329 Epoch[127] Batch [3549]/[3760] Speed: 61.270672 samples/sec accuracy=53.213908 loss=1.976080 lr=0.041315 Epoch[127] Batch [3599]/[3760] Speed: 61.218340 samples/sec accuracy=53.221354 loss=1.975838 lr=0.041301 Epoch[127] Batch [3649]/[3760] Speed: 61.432553 samples/sec accuracy=53.210616 loss=1.976676 lr=0.041288 Epoch[127] Batch [3699]/[3760] Speed: 61.460748 samples/sec accuracy=53.199747 loss=1.977132 lr=0.041274 Epoch[127] Batch [3749]/[3760] Speed: 66.169071 samples/sec accuracy=53.207500 loss=1.977170 lr=0.041260 Batch [0049]/[0303]: acc-top1=52.750000 acc-top5=77.562500 Batch [0099]/[0303]: acc-top1=53.156250 acc-top5=78.156250 Batch [0149]/[0303]: acc-top1=52.958333 acc-top5=78.364583 Batch [0199]/[0303]: acc-top1=53.460938 acc-top5=78.679688 Batch [0249]/[0303]: acc-top1=53.100000 acc-top5=78.425000 Batch [0299]/[0303]: acc-top1=53.203125 acc-top5=78.640625 [Epoch 127] training: accuracy=53.213930 loss=1.976832 [Epoch 127] speed: 61 samples/sec time cost: 4237.429565 [Epoch 127] validation: acc-top1=53.186881 acc-top5=78.604579 loss=2.228726 Epoch[128] Batch [0049]/[3759] Speed: 41.192439 samples/sec accuracy=55.312500 loss=1.892146 lr=0.041244 Epoch[128] Batch [0099]/[3759] Speed: 60.176700 samples/sec accuracy=54.265625 loss=1.926544 lr=0.041230 Epoch[128] Batch [0149]/[3759] Speed: 60.884453 samples/sec accuracy=54.968750 loss=1.901452 lr=0.041216 Epoch[128] Batch [0199]/[3759] Speed: 60.362621 samples/sec accuracy=54.867188 loss=1.901956 lr=0.041203 Epoch[128] Batch [0249]/[3759] Speed: 61.486896 samples/sec accuracy=54.306250 loss=1.920551 lr=0.041189 Epoch[128] Batch [0299]/[3759] Speed: 61.624950 samples/sec accuracy=54.328125 loss=1.924262 lr=0.041175 Epoch[128] Batch 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accuracy=53.383562 loss=1.965298 lr=0.040257 Epoch[128] Batch [3699]/[3759] Speed: 62.019815 samples/sec accuracy=53.402027 loss=1.965204 lr=0.040244 Epoch[128] Batch [3749]/[3759] Speed: 67.186560 samples/sec accuracy=53.386667 loss=1.965672 lr=0.040230 Batch [0049]/[0303]: acc-top1=52.375000 acc-top5=78.500000 Batch [0099]/[0303]: acc-top1=53.671875 acc-top5=78.609375 Batch [0149]/[0303]: acc-top1=52.937500 acc-top5=78.000000 Batch [0199]/[0303]: acc-top1=52.726562 acc-top5=78.070312 Batch [0249]/[0303]: acc-top1=52.468750 acc-top5=77.956250 Batch [0299]/[0303]: acc-top1=52.687500 acc-top5=78.161458 [Epoch 128] training: accuracy=53.381468 loss=1.965866 [Epoch 128] speed: 61 samples/sec time cost: 4194.297105 [Epoch 128] validation: acc-top1=52.635107 acc-top5=78.130157 loss=2.201461 Epoch[129] Batch [0049]/[3760] Speed: 41.837012 samples/sec accuracy=56.468750 loss=1.914514 lr=0.040214 Epoch[129] Batch [0099]/[3760] Speed: 59.496779 samples/sec accuracy=55.015625 loss=1.940324 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lr=0.039423 Epoch[129] Batch [2999]/[3760] Speed: 61.436200 samples/sec accuracy=53.835417 loss=1.946960 lr=0.039409 Epoch[129] Batch [3049]/[3760] Speed: 62.416376 samples/sec accuracy=53.836066 loss=1.946951 lr=0.039396 Epoch[129] Batch [3099]/[3760] Speed: 61.215468 samples/sec accuracy=53.833165 loss=1.946838 lr=0.039382 Epoch[129] Batch [3149]/[3760] Speed: 62.300126 samples/sec accuracy=53.826885 loss=1.947042 lr=0.039368 Epoch[129] Batch [3199]/[3760] Speed: 61.245647 samples/sec accuracy=53.813477 loss=1.947675 lr=0.039355 Epoch[129] Batch [3249]/[3760] Speed: 62.404334 samples/sec accuracy=53.790865 loss=1.948808 lr=0.039341 Epoch[129] Batch [3299]/[3760] Speed: 62.485996 samples/sec accuracy=53.802083 loss=1.948640 lr=0.039328 Epoch[129] Batch [3349]/[3760] Speed: 61.935656 samples/sec accuracy=53.798974 loss=1.948820 lr=0.039314 Epoch[129] Batch [3399]/[3760] Speed: 62.003226 samples/sec accuracy=53.774816 loss=1.949686 lr=0.039300 Epoch[129] Batch [3449]/[3760] Speed: 61.963672 samples/sec accuracy=53.743207 loss=1.950495 lr=0.039287 Epoch[129] Batch [3499]/[3760] Speed: 62.353106 samples/sec accuracy=53.748214 loss=1.950257 lr=0.039273 Epoch[129] Batch [3549]/[3760] Speed: 61.960510 samples/sec accuracy=53.741637 loss=1.950493 lr=0.039260 Epoch[129] Batch [3599]/[3760] Speed: 61.689998 samples/sec accuracy=53.739583 loss=1.950462 lr=0.039246 Epoch[129] Batch [3649]/[3760] Speed: 62.116671 samples/sec accuracy=53.726027 loss=1.950937 lr=0.039232 Epoch[129] Batch [3699]/[3760] Speed: 62.224275 samples/sec accuracy=53.736064 loss=1.951017 lr=0.039219 Epoch[129] Batch [3749]/[3760] Speed: 67.250231 samples/sec accuracy=53.727083 loss=1.951719 lr=0.039205 Batch [0049]/[0303]: acc-top1=51.250000 acc-top5=76.937500 Batch [0099]/[0303]: acc-top1=51.875000 acc-top5=77.640625 Batch [0149]/[0303]: acc-top1=51.458333 acc-top5=77.437500 Batch [0199]/[0303]: acc-top1=51.890625 acc-top5=77.742188 Batch [0249]/[0303]: acc-top1=51.850000 acc-top5=77.812500 Batch [0299]/[0303]: acc-top1=52.046875 acc-top5=77.901042 [Epoch 129] training: accuracy=53.717586 loss=1.951774 [Epoch 129] speed: 61 samples/sec time cost: 4208.479658 [Epoch 129] validation: acc-top1=52.036922 acc-top5=77.867162 loss=2.288797 Epoch[130] Batch [0049]/[3759] Speed: 40.538456 samples/sec accuracy=54.625000 loss=1.900748 lr=0.039189 Epoch[130] Batch [0099]/[3759] Speed: 59.778720 samples/sec accuracy=55.625000 loss=1.881625 lr=0.039175 Epoch[130] Batch [0149]/[3759] Speed: 60.643288 samples/sec accuracy=55.500000 loss=1.890628 lr=0.039162 Epoch[130] Batch [0199]/[3759] Speed: 60.201683 samples/sec accuracy=54.976562 loss=1.904223 lr=0.039148 Epoch[130] Batch [0249]/[3759] Speed: 61.527129 samples/sec accuracy=54.856250 loss=1.899919 lr=0.039135 Epoch[130] Batch [0299]/[3759] Speed: 60.328216 samples/sec accuracy=54.468750 loss=1.911178 lr=0.039121 Epoch[130] Batch [0349]/[3759] Speed: 62.288696 samples/sec accuracy=54.455357 loss=1.908635 lr=0.039107 Epoch[130] Batch 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accuracy=53.839527 loss=1.944961 lr=0.038200 Epoch[130] Batch [3749]/[3759] Speed: 67.830778 samples/sec accuracy=53.850000 loss=1.944655 lr=0.038186 Batch [0049]/[0303]: acc-top1=51.593750 acc-top5=77.625000 Batch [0099]/[0303]: acc-top1=52.671875 acc-top5=78.031250 Batch [0149]/[0303]: acc-top1=52.364583 acc-top5=77.916667 Batch [0199]/[0303]: acc-top1=52.687500 acc-top5=78.140625 Batch [0249]/[0303]: acc-top1=52.512500 acc-top5=77.912500 Batch [0299]/[0303]: acc-top1=52.786458 acc-top5=78.125000 [Epoch 130] training: accuracy=53.845770 loss=1.944828 [Epoch 130] speed: 61 samples/sec time cost: 4215.974930 [Epoch 130] validation: acc-top1=52.738243 acc-top5=78.094059 loss=2.268862 Epoch[131] Batch [0049]/[3760] Speed: 41.717052 samples/sec accuracy=55.593750 loss=1.831195 lr=0.038170 Epoch[131] Batch [0099]/[3760] Speed: 59.740706 samples/sec accuracy=55.828125 loss=1.840995 lr=0.038157 Epoch[131] Batch [0149]/[3760] Speed: 60.714606 samples/sec accuracy=55.333333 loss=1.876273 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lr=0.037376 Epoch[131] Batch [3049]/[3760] Speed: 62.344044 samples/sec accuracy=54.132172 loss=1.928798 lr=0.037362 Epoch[131] Batch [3099]/[3760] Speed: 61.731133 samples/sec accuracy=54.113911 loss=1.930242 lr=0.037349 Epoch[131] Batch [3149]/[3760] Speed: 62.643756 samples/sec accuracy=54.106151 loss=1.930448 lr=0.037335 Epoch[131] Batch [3199]/[3760] Speed: 61.348247 samples/sec accuracy=54.101562 loss=1.930256 lr=0.037322 Epoch[131] Batch [3249]/[3760] Speed: 62.117512 samples/sec accuracy=54.105288 loss=1.929748 lr=0.037308 Epoch[131] Batch [3299]/[3760] Speed: 62.221722 samples/sec accuracy=54.118845 loss=1.929431 lr=0.037295 Epoch[131] Batch [3349]/[3760] Speed: 62.504148 samples/sec accuracy=54.117071 loss=1.929671 lr=0.037281 Epoch[131] Batch [3399]/[3760] Speed: 60.779149 samples/sec accuracy=54.110294 loss=1.929603 lr=0.037268 Epoch[131] Batch [3449]/[3760] Speed: 62.606171 samples/sec accuracy=54.113678 loss=1.929670 lr=0.037255 Epoch[131] Batch [3499]/[3760] Speed: 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[Epoch 131] speed: 61 samples/sec time cost: 4208.325609 [Epoch 131] validation: acc-top1=54.445132 acc-top5=78.908828 loss=2.172995 Epoch[132] Batch [0049]/[3760] Speed: 41.320258 samples/sec accuracy=55.250000 loss=1.850454 lr=0.037158 Epoch[132] Batch [0099]/[3760] Speed: 59.406528 samples/sec accuracy=54.875000 loss=1.863479 lr=0.037145 Epoch[132] Batch [0149]/[3760] Speed: 61.525982 samples/sec accuracy=54.500000 loss=1.887006 lr=0.037131 Epoch[132] Batch [0199]/[3760] Speed: 60.214534 samples/sec accuracy=54.765625 loss=1.892671 lr=0.037118 Epoch[132] Batch [0249]/[3760] Speed: 61.436331 samples/sec accuracy=54.806250 loss=1.878637 lr=0.037104 Epoch[132] Batch [0299]/[3760] Speed: 58.888591 samples/sec accuracy=54.869792 loss=1.882622 lr=0.037091 Epoch[132] Batch [0349]/[3760] Speed: 61.301960 samples/sec accuracy=55.004464 loss=1.877326 lr=0.037077 Epoch[132] Batch [0399]/[3760] Speed: 59.923948 samples/sec accuracy=54.980469 loss=1.886777 lr=0.037064 Epoch[132] Batch 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accuracy=54.902778 loss=1.892845 lr=0.036930 Epoch[132] Batch [0949]/[3760] Speed: 62.413801 samples/sec accuracy=54.879934 loss=1.893638 lr=0.036917 Epoch[132] Batch [0999]/[3760] Speed: 61.343268 samples/sec accuracy=54.887500 loss=1.891386 lr=0.036903 Epoch[132] Batch [1049]/[3760] Speed: 61.792421 samples/sec accuracy=54.869048 loss=1.891513 lr=0.036890 Epoch[132] Batch [1099]/[3760] Speed: 60.813893 samples/sec accuracy=54.839489 loss=1.892921 lr=0.036876 Epoch[132] Batch [1149]/[3760] Speed: 61.240378 samples/sec accuracy=54.838315 loss=1.893929 lr=0.036863 Epoch[132] Batch [1199]/[3760] Speed: 61.979893 samples/sec accuracy=54.848958 loss=1.894941 lr=0.036850 Epoch[132] Batch [1249]/[3760] Speed: 61.381232 samples/sec accuracy=54.870000 loss=1.894621 lr=0.036836 Epoch[132] Batch [1299]/[3760] Speed: 61.855807 samples/sec accuracy=54.903846 loss=1.893373 lr=0.036823 Epoch[132] Batch [1349]/[3760] Speed: 61.146770 samples/sec accuracy=54.863426 loss=1.894197 lr=0.036809 Epoch[132] Batch [1399]/[3760] Speed: 62.045190 samples/sec accuracy=54.834821 loss=1.895147 lr=0.036796 Epoch[132] Batch [1449]/[3760] Speed: 62.155754 samples/sec accuracy=54.841595 loss=1.894782 lr=0.036783 Epoch[132] Batch [1499]/[3760] Speed: 61.936343 samples/sec accuracy=54.783333 loss=1.896675 lr=0.036769 Epoch[132] Batch [1549]/[3760] Speed: 61.371608 samples/sec accuracy=54.755040 loss=1.898108 lr=0.036756 Epoch[132] Batch [1599]/[3760] Speed: 62.269331 samples/sec accuracy=54.759766 loss=1.898139 lr=0.036743 Epoch[132] Batch [1649]/[3760] Speed: 61.947251 samples/sec accuracy=54.694129 loss=1.900420 lr=0.036729 Epoch[132] Batch [1699]/[3760] Speed: 62.359489 samples/sec accuracy=54.704044 loss=1.900702 lr=0.036716 Epoch[132] Batch [1749]/[3760] Speed: 60.420230 samples/sec accuracy=54.691964 loss=1.901796 lr=0.036702 Epoch[132] Batch [1799]/[3760] Speed: 63.477537 samples/sec accuracy=54.705729 loss=1.902271 lr=0.036689 Epoch[132] Batch [1849]/[3760] Speed: 61.514107 samples/sec accuracy=54.704392 loss=1.903159 lr=0.036676 Epoch[132] Batch [1899]/[3760] Speed: 62.791066 samples/sec accuracy=54.699013 loss=1.903564 lr=0.036662 Epoch[132] Batch [1949]/[3760] Speed: 61.275582 samples/sec accuracy=54.677885 loss=1.904952 lr=0.036649 Epoch[132] Batch [1999]/[3760] Speed: 61.756952 samples/sec accuracy=54.660156 loss=1.906126 lr=0.036635 Epoch[132] Batch [2049]/[3760] Speed: 62.038979 samples/sec accuracy=54.708079 loss=1.904337 lr=0.036622 Epoch[132] Batch [2099]/[3760] Speed: 62.310699 samples/sec accuracy=54.700893 loss=1.904760 lr=0.036609 Epoch[132] Batch [2149]/[3760] Speed: 62.487881 samples/sec accuracy=54.708576 loss=1.904271 lr=0.036595 Epoch[132] Batch [2199]/[3760] Speed: 61.392130 samples/sec accuracy=54.715199 loss=1.903774 lr=0.036582 Epoch[132] Batch [2249]/[3760] Speed: 61.981770 samples/sec accuracy=54.693750 loss=1.905188 lr=0.036569 Epoch[132] Batch [2299]/[3760] Speed: 61.882152 samples/sec accuracy=54.664402 loss=1.905867 lr=0.036555 Epoch[132] 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accuracy=54.573103 loss=1.909564 lr=0.036422 Epoch[132] Batch [2849]/[3760] Speed: 62.202082 samples/sec accuracy=54.564145 loss=1.910341 lr=0.036408 Epoch[132] Batch [2899]/[3760] Speed: 61.663905 samples/sec accuracy=54.560345 loss=1.911158 lr=0.036395 Epoch[132] Batch [2949]/[3760] Speed: 62.549468 samples/sec accuracy=54.549788 loss=1.911629 lr=0.036382 Epoch[132] Batch [2999]/[3760] Speed: 61.381249 samples/sec accuracy=54.536458 loss=1.912229 lr=0.036368 Epoch[132] Batch [3049]/[3760] Speed: 62.067955 samples/sec accuracy=54.501537 loss=1.913183 lr=0.036355 Epoch[132] Batch [3099]/[3760] Speed: 61.598082 samples/sec accuracy=54.488911 loss=1.913625 lr=0.036342 Epoch[132] Batch [3149]/[3760] Speed: 62.795975 samples/sec accuracy=54.467758 loss=1.914890 lr=0.036328 Epoch[132] Batch [3199]/[3760] Speed: 61.844998 samples/sec accuracy=54.461914 loss=1.915144 lr=0.036315 Epoch[132] Batch [3249]/[3760] Speed: 61.570931 samples/sec accuracy=54.484615 loss=1.914655 lr=0.036302 Epoch[132] Batch [3299]/[3760] Speed: 62.024710 samples/sec accuracy=54.485322 loss=1.915139 lr=0.036288 Epoch[132] Batch [3349]/[3760] Speed: 62.601982 samples/sec accuracy=54.489272 loss=1.914785 lr=0.036275 Epoch[132] Batch [3399]/[3760] Speed: 62.188222 samples/sec accuracy=54.478401 loss=1.915492 lr=0.036262 Epoch[132] Batch [3449]/[3760] Speed: 60.979151 samples/sec accuracy=54.498188 loss=1.914652 lr=0.036248 Epoch[132] Batch [3499]/[3760] Speed: 62.425345 samples/sec accuracy=54.490179 loss=1.915070 lr=0.036235 Epoch[132] Batch [3549]/[3760] Speed: 62.176790 samples/sec accuracy=54.477113 loss=1.915737 lr=0.036222 Epoch[132] Batch [3599]/[3760] Speed: 62.427301 samples/sec accuracy=54.483073 loss=1.915584 lr=0.036208 Epoch[132] Batch [3649]/[3760] Speed: 62.364898 samples/sec accuracy=54.482449 loss=1.915813 lr=0.036195 Epoch[132] Batch [3699]/[3760] Speed: 61.951201 samples/sec accuracy=54.478463 loss=1.915649 lr=0.036182 Epoch[132] Batch [3749]/[3760] Speed: 67.039206 samples/sec accuracy=54.482500 loss=1.915485 lr=0.036168 Batch [0049]/[0303]: acc-top1=53.187500 acc-top5=78.468750 Batch [0099]/[0303]: acc-top1=54.125000 acc-top5=79.093750 Batch [0149]/[0303]: acc-top1=53.562500 acc-top5=78.864583 Batch [0199]/[0303]: acc-top1=53.765625 acc-top5=78.914062 Batch [0249]/[0303]: acc-top1=53.618750 acc-top5=78.743750 Batch [0299]/[0303]: acc-top1=53.916667 acc-top5=78.833333 [Epoch 132] training: accuracy=54.475150 loss=1.915558 [Epoch 132] speed: 61 samples/sec time cost: 4220.419049 [Epoch 132] validation: acc-top1=53.872731 acc-top5=78.800536 loss=2.195557 Epoch[133] Batch [0049]/[3759] Speed: 41.084767 samples/sec accuracy=56.406250 loss=1.849235 lr=0.036152 Epoch[133] Batch [0099]/[3759] Speed: 60.111595 samples/sec accuracy=54.875000 loss=1.903798 lr=0.036139 Epoch[133] Batch [0149]/[3759] Speed: 60.625212 samples/sec accuracy=55.406250 loss=1.894796 lr=0.036126 Epoch[133] Batch [0199]/[3759] Speed: 60.935763 samples/sec accuracy=55.390625 loss=1.899215 lr=0.036112 Epoch[133] Batch [0249]/[3759] Speed: 62.022382 samples/sec accuracy=55.256250 loss=1.902041 lr=0.036099 Epoch[133] Batch [0299]/[3759] Speed: 61.335654 samples/sec accuracy=55.140625 loss=1.893886 lr=0.036086 Epoch[133] Batch [0349]/[3759] Speed: 60.994790 samples/sec accuracy=55.174107 loss=1.894104 lr=0.036072 Epoch[133] Batch [0399]/[3759] Speed: 60.846369 samples/sec accuracy=55.312500 loss=1.893613 lr=0.036059 Epoch[133] Batch [0449]/[3759] Speed: 61.800580 samples/sec accuracy=55.201389 loss=1.893714 lr=0.036046 Epoch[133] Batch [0499]/[3759] Speed: 60.849149 samples/sec accuracy=55.315625 loss=1.891105 lr=0.036032 Epoch[133] Batch [0549]/[3759] Speed: 61.284620 samples/sec accuracy=55.366477 loss=1.886728 lr=0.036019 Epoch[133] Batch [0599]/[3759] Speed: 61.015911 samples/sec accuracy=55.315104 loss=1.887850 lr=0.036006 Epoch[133] Batch [0649]/[3759] Speed: 62.236004 samples/sec accuracy=55.427885 loss=1.886189 lr=0.035992 Epoch[133] Batch [0699]/[3759] Speed: 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lr=0.035607 Epoch[133] Batch [2149]/[3759] Speed: 61.699290 samples/sec accuracy=55.042878 loss=1.892671 lr=0.035594 Epoch[133] Batch [2199]/[3759] Speed: 62.296460 samples/sec accuracy=55.061080 loss=1.891463 lr=0.035580 Epoch[133] Batch [2249]/[3759] Speed: 61.153032 samples/sec accuracy=55.058333 loss=1.892378 lr=0.035567 Epoch[133] Batch [2299]/[3759] Speed: 62.974413 samples/sec accuracy=55.055707 loss=1.892580 lr=0.035554 Epoch[133] Batch [2349]/[3759] Speed: 61.319095 samples/sec accuracy=55.033245 loss=1.893682 lr=0.035540 Epoch[133] Batch [2399]/[3759] Speed: 62.436787 samples/sec accuracy=55.033203 loss=1.892286 lr=0.035527 Epoch[133] Batch [2449]/[3759] Speed: 60.242611 samples/sec accuracy=55.023597 loss=1.892594 lr=0.035514 Epoch[133] Batch [2499]/[3759] Speed: 62.798949 samples/sec accuracy=54.985000 loss=1.893800 lr=0.035501 Epoch[133] Batch [2549]/[3759] Speed: 61.750665 samples/sec accuracy=54.974265 loss=1.895144 lr=0.035487 Epoch[133] Batch [2599]/[3759] Speed: 62.143267 samples/sec accuracy=54.957332 loss=1.896040 lr=0.035474 Epoch[133] Batch [2649]/[3759] Speed: 61.700278 samples/sec accuracy=54.925118 loss=1.897127 lr=0.035461 Epoch[133] Batch [2699]/[3759] Speed: 61.198402 samples/sec accuracy=54.924769 loss=1.897211 lr=0.035448 Epoch[133] Batch [2749]/[3759] Speed: 61.659913 samples/sec accuracy=54.941477 loss=1.896766 lr=0.035434 Epoch[133] Batch [2799]/[3759] Speed: 61.693450 samples/sec accuracy=54.914621 loss=1.897735 lr=0.035421 Epoch[133] Batch [2849]/[3759] Speed: 61.653607 samples/sec accuracy=54.885417 loss=1.899173 lr=0.035408 Epoch[133] Batch [2899]/[3759] Speed: 61.249282 samples/sec accuracy=54.866379 loss=1.900394 lr=0.035395 Epoch[133] Batch [2949]/[3759] Speed: 62.710746 samples/sec accuracy=54.868644 loss=1.901218 lr=0.035381 Epoch[133] Batch [2999]/[3759] Speed: 61.705012 samples/sec accuracy=54.847917 loss=1.902146 lr=0.035368 Epoch[133] Batch [3049]/[3759] Speed: 62.695846 samples/sec accuracy=54.847848 loss=1.902158 lr=0.035355 Epoch[133] Batch [3099]/[3759] Speed: 60.056149 samples/sec accuracy=54.850302 loss=1.901640 lr=0.035342 Epoch[133] Batch [3149]/[3759] Speed: 62.552609 samples/sec accuracy=54.840278 loss=1.902286 lr=0.035328 Epoch[133] Batch [3199]/[3759] Speed: 60.723058 samples/sec accuracy=54.819824 loss=1.903673 lr=0.035315 Epoch[133] Batch [3249]/[3759] Speed: 62.717559 samples/sec accuracy=54.828846 loss=1.903168 lr=0.035302 Epoch[133] Batch [3299]/[3759] Speed: 59.221594 samples/sec accuracy=54.812027 loss=1.904089 lr=0.035289 Epoch[133] Batch [3349]/[3759] Speed: 62.855999 samples/sec accuracy=54.818097 loss=1.904121 lr=0.035275 Epoch[133] Batch [3399]/[3759] Speed: 60.495488 samples/sec accuracy=54.830882 loss=1.903946 lr=0.035262 Epoch[133] Batch [3449]/[3759] Speed: 62.370883 samples/sec accuracy=54.818388 loss=1.904138 lr=0.035249 Epoch[133] Batch [3499]/[3759] Speed: 60.965907 samples/sec accuracy=54.804018 loss=1.905085 lr=0.035236 Epoch[133] Batch [3549]/[3759] Speed: 62.001066 samples/sec accuracy=54.797535 loss=1.905500 lr=0.035222 Epoch[133] Batch [3599]/[3759] Speed: 60.754745 samples/sec accuracy=54.799913 loss=1.905250 lr=0.035209 Epoch[133] Batch [3649]/[3759] Speed: 62.361956 samples/sec accuracy=54.801798 loss=1.905269 lr=0.035196 Epoch[133] Batch [3699]/[3759] Speed: 60.764889 samples/sec accuracy=54.769003 loss=1.906315 lr=0.035183 Epoch[133] Batch [3749]/[3759] Speed: 66.434562 samples/sec accuracy=54.765000 loss=1.906174 lr=0.035169 Batch [0049]/[0303]: acc-top1=54.343750 acc-top5=78.656250 Batch [0099]/[0303]: acc-top1=55.234375 acc-top5=79.515625 Batch [0149]/[0303]: acc-top1=54.666667 acc-top5=79.041667 Batch [0199]/[0303]: acc-top1=54.968750 acc-top5=79.164062 Batch [0249]/[0303]: acc-top1=54.812500 acc-top5=78.962500 Batch [0299]/[0303]: acc-top1=54.859375 acc-top5=79.223958 [Epoch 133] training: accuracy=54.768971 loss=1.905953 [Epoch 133] speed: 61 samples/sec time cost: 4220.199600 [Epoch 133] validation: acc-top1=54.816419 acc-top5=79.171823 loss=2.057147 Epoch[134] Batch [0049]/[3760] Speed: 41.990140 samples/sec accuracy=54.468750 loss=1.893579 lr=0.035154 Epoch[134] Batch [0099]/[3760] Speed: 59.798550 samples/sec accuracy=54.781250 loss=1.875447 lr=0.035141 Epoch[134] Batch [0149]/[3760] Speed: 60.835606 samples/sec accuracy=55.531250 loss=1.856087 lr=0.035127 Epoch[134] Batch [0199]/[3760] Speed: 60.692753 samples/sec accuracy=55.609375 loss=1.858902 lr=0.035114 Epoch[134] Batch [0249]/[3760] Speed: 61.430471 samples/sec accuracy=55.693750 loss=1.864415 lr=0.035101 Epoch[134] Batch [0299]/[3760] Speed: 60.104568 samples/sec accuracy=55.473958 loss=1.863432 lr=0.035088 Epoch[134] Batch [0349]/[3760] Speed: 61.986512 samples/sec accuracy=55.544643 loss=1.856268 lr=0.035074 Epoch[134] Batch [0399]/[3760] Speed: 59.013775 samples/sec accuracy=55.605469 loss=1.853781 lr=0.035061 Epoch[134] Batch [0449]/[3760] Speed: 62.624757 samples/sec accuracy=55.361111 loss=1.863313 lr=0.035048 Epoch[134] Batch 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accuracy=55.048520 loss=1.881418 lr=0.034665 Epoch[134] Batch [1949]/[3760] Speed: 62.941706 samples/sec accuracy=55.044872 loss=1.882732 lr=0.034652 Epoch[134] Batch [1999]/[3760] Speed: 61.789999 samples/sec accuracy=55.060937 loss=1.882592 lr=0.034639 Epoch[134] Batch [2049]/[3760] Speed: 62.446875 samples/sec accuracy=55.088415 loss=1.881760 lr=0.034626 Epoch[134] Batch [2099]/[3760] Speed: 62.292481 samples/sec accuracy=55.107143 loss=1.881244 lr=0.034612 Epoch[134] Batch [2149]/[3760] Speed: 61.632089 samples/sec accuracy=55.083576 loss=1.882311 lr=0.034599 Epoch[134] Batch [2199]/[3760] Speed: 62.457277 samples/sec accuracy=55.104403 loss=1.882182 lr=0.034586 Epoch[134] Batch [2249]/[3760] Speed: 62.484110 samples/sec accuracy=55.076389 loss=1.882580 lr=0.034573 Epoch[134] Batch [2299]/[3760] Speed: 62.307115 samples/sec accuracy=55.057065 loss=1.883872 lr=0.034560 Epoch[134] Batch [2349]/[3760] Speed: 61.704582 samples/sec accuracy=55.059176 loss=1.883512 lr=0.034547 Epoch[134] 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accuracy=54.945175 loss=1.887526 lr=0.034415 Epoch[134] Batch [2899]/[3760] Speed: 62.469655 samples/sec accuracy=54.939655 loss=1.887548 lr=0.034402 Epoch[134] Batch [2949]/[3760] Speed: 62.370293 samples/sec accuracy=54.925318 loss=1.887919 lr=0.034389 Epoch[134] Batch [2999]/[3760] Speed: 61.701555 samples/sec accuracy=54.926042 loss=1.888115 lr=0.034375 Epoch[134] Batch [3049]/[3760] Speed: 62.550681 samples/sec accuracy=54.897541 loss=1.889441 lr=0.034362 Epoch[134] Batch [3099]/[3760] Speed: 62.218839 samples/sec accuracy=54.906754 loss=1.889279 lr=0.034349 Epoch[134] Batch [3149]/[3760] Speed: 62.194863 samples/sec accuracy=54.905754 loss=1.889575 lr=0.034336 Epoch[134] Batch [3199]/[3760] Speed: 61.258289 samples/sec accuracy=54.927734 loss=1.889678 lr=0.034323 Epoch[134] Batch [3249]/[3760] Speed: 62.743029 samples/sec accuracy=54.936538 loss=1.889763 lr=0.034310 Epoch[134] Batch [3299]/[3760] Speed: 61.943728 samples/sec accuracy=54.956439 loss=1.889158 lr=0.034297 Epoch[134] 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[0099]/[0303]: acc-top1=55.109375 acc-top5=79.750000 Batch [0149]/[0303]: acc-top1=54.833333 acc-top5=79.281250 Batch [0199]/[0303]: acc-top1=55.250000 acc-top5=79.382812 Batch [0249]/[0303]: acc-top1=54.993750 acc-top5=79.287500 Batch [0299]/[0303]: acc-top1=55.234375 acc-top5=79.583333 [Epoch 134] training: accuracy=54.931017 loss=1.891122 [Epoch 134] speed: 61 samples/sec time cost: 4200.885963 [Epoch 134] validation: acc-top1=55.177393 acc-top5=79.543111 loss=2.102784 Epoch[135] Batch [0049]/[3760] Speed: 41.159519 samples/sec accuracy=56.156250 loss=1.817121 lr=0.034163 Epoch[135] Batch [0099]/[3760] Speed: 59.480435 samples/sec accuracy=55.750000 loss=1.827612 lr=0.034149 Epoch[135] Batch [0149]/[3760] Speed: 61.133139 samples/sec accuracy=56.197917 loss=1.837972 lr=0.034136 Epoch[135] Batch [0199]/[3760] Speed: 60.839840 samples/sec accuracy=56.445312 loss=1.826099 lr=0.034123 Epoch[135] Batch [0249]/[3760] Speed: 61.520396 samples/sec accuracy=56.281250 loss=1.834809 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lr=0.033364 Epoch[135] Batch [3149]/[3760] Speed: 62.314989 samples/sec accuracy=55.319940 loss=1.877438 lr=0.033351 Epoch[135] Batch [3199]/[3760] Speed: 62.642612 samples/sec accuracy=55.301758 loss=1.878491 lr=0.033338 Epoch[135] Batch [3249]/[3760] Speed: 61.872608 samples/sec accuracy=55.311538 loss=1.878400 lr=0.033325 Epoch[135] Batch [3299]/[3760] Speed: 62.165853 samples/sec accuracy=55.321023 loss=1.877888 lr=0.033312 Epoch[135] Batch [3349]/[3760] Speed: 61.598720 samples/sec accuracy=55.316698 loss=1.878510 lr=0.033299 Epoch[135] Batch [3399]/[3760] Speed: 62.387819 samples/sec accuracy=55.304228 loss=1.878413 lr=0.033286 Epoch[135] Batch [3449]/[3760] Speed: 61.842908 samples/sec accuracy=55.298913 loss=1.878589 lr=0.033273 Epoch[135] Batch [3499]/[3760] Speed: 62.404426 samples/sec accuracy=55.292857 loss=1.878394 lr=0.033260 Epoch[135] Batch [3549]/[3760] Speed: 60.952448 samples/sec accuracy=55.300616 loss=1.878358 lr=0.033247 Epoch[135] Batch [3599]/[3760] Speed: 63.037788 samples/sec accuracy=55.277778 loss=1.879133 lr=0.033234 Epoch[135] Batch [3649]/[3760] Speed: 61.173833 samples/sec accuracy=55.266695 loss=1.879353 lr=0.033221 Epoch[135] Batch [3699]/[3760] Speed: 62.570827 samples/sec accuracy=55.269848 loss=1.879414 lr=0.033208 Epoch[135] Batch [3749]/[3760] Speed: 65.558099 samples/sec accuracy=55.264583 loss=1.879588 lr=0.033195 Batch [0049]/[0303]: acc-top1=54.531250 acc-top5=79.281250 Batch [0099]/[0303]: acc-top1=55.234375 acc-top5=79.437500 Batch [0149]/[0303]: acc-top1=54.677083 acc-top5=79.104167 Batch [0199]/[0303]: acc-top1=54.921875 acc-top5=79.390625 Batch [0249]/[0303]: acc-top1=54.731250 acc-top5=79.100000 Batch [0299]/[0303]: acc-top1=54.911458 acc-top5=79.385417 [Epoch 135] training: accuracy=55.268035 loss=1.879566 [Epoch 135] speed: 61 samples/sec time cost: 4202.332487 [Epoch 135] validation: acc-top1=54.852517 acc-top5=79.326526 loss=2.148130 Epoch[136] Batch [0049]/[3759] Speed: 41.034899 samples/sec accuracy=55.281250 loss=1.880890 lr=0.033179 Epoch[136] Batch [0099]/[3759] Speed: 60.402465 samples/sec accuracy=56.187500 loss=1.833618 lr=0.033166 Epoch[136] Batch [0149]/[3759] Speed: 61.989480 samples/sec accuracy=55.677083 loss=1.841433 lr=0.033153 Epoch[136] Batch [0199]/[3759] Speed: 60.934532 samples/sec accuracy=55.773438 loss=1.843642 lr=0.033140 Epoch[136] Batch [0249]/[3759] Speed: 61.617125 samples/sec accuracy=56.056250 loss=1.833764 lr=0.033127 Epoch[136] Batch [0299]/[3759] Speed: 61.292314 samples/sec accuracy=56.015625 loss=1.838262 lr=0.033114 Epoch[136] Batch [0349]/[3759] Speed: 61.839207 samples/sec accuracy=56.111607 loss=1.830861 lr=0.033101 Epoch[136] Batch [0399]/[3759] Speed: 61.866275 samples/sec accuracy=56.312500 loss=1.823889 lr=0.033088 Epoch[136] Batch [0449]/[3759] Speed: 61.487676 samples/sec accuracy=56.260417 loss=1.824953 lr=0.033075 Epoch[136] Batch [0499]/[3759] Speed: 62.221248 samples/sec accuracy=56.356250 loss=1.825910 lr=0.033062 Epoch[136] 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accuracy=56.279687 loss=1.833720 lr=0.032932 Epoch[136] Batch [1049]/[3759] Speed: 62.871004 samples/sec accuracy=56.248512 loss=1.834664 lr=0.032919 Epoch[136] Batch [1099]/[3759] Speed: 62.653174 samples/sec accuracy=56.309659 loss=1.834969 lr=0.032906 Epoch[136] Batch [1149]/[3759] Speed: 61.486743 samples/sec accuracy=56.275815 loss=1.835715 lr=0.032893 Epoch[136] Batch [1199]/[3759] Speed: 61.752490 samples/sec accuracy=56.259115 loss=1.836472 lr=0.032880 Epoch[136] Batch [1249]/[3759] Speed: 62.105732 samples/sec accuracy=56.233750 loss=1.837485 lr=0.032867 Epoch[136] Batch [1299]/[3759] Speed: 62.131948 samples/sec accuracy=56.175481 loss=1.838120 lr=0.032854 Epoch[136] Batch [1349]/[3759] Speed: 61.330861 samples/sec accuracy=56.129630 loss=1.839253 lr=0.032841 Epoch[136] Batch [1399]/[3759] Speed: 62.998690 samples/sec accuracy=56.119420 loss=1.839389 lr=0.032828 Epoch[136] Batch [1449]/[3759] Speed: 62.449753 samples/sec accuracy=56.077586 loss=1.841505 lr=0.032815 Epoch[136] 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accuracy=55.992788 loss=1.843765 lr=0.032685 Epoch[136] Batch [1999]/[3759] Speed: 62.658622 samples/sec accuracy=56.020313 loss=1.842572 lr=0.032672 Epoch[136] Batch [2049]/[3759] Speed: 60.739711 samples/sec accuracy=55.992378 loss=1.843766 lr=0.032659 Epoch[136] Batch [2099]/[3759] Speed: 63.220727 samples/sec accuracy=55.978423 loss=1.844730 lr=0.032647 Epoch[136] Batch [2149]/[3759] Speed: 61.579560 samples/sec accuracy=55.981831 loss=1.845295 lr=0.032634 Epoch[136] Batch [2199]/[3759] Speed: 62.291782 samples/sec accuracy=55.948153 loss=1.846399 lr=0.032621 Epoch[136] Batch [2249]/[3759] Speed: 61.873173 samples/sec accuracy=55.950694 loss=1.846800 lr=0.032608 Epoch[136] Batch [2299]/[3759] Speed: 62.248063 samples/sec accuracy=55.886549 loss=1.848780 lr=0.032595 Epoch[136] Batch [2349]/[3759] Speed: 61.856913 samples/sec accuracy=55.873005 loss=1.848715 lr=0.032582 Epoch[136] Batch [2399]/[3759] Speed: 62.563364 samples/sec accuracy=55.881510 loss=1.848926 lr=0.032569 Epoch[136] 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accuracy=55.756466 loss=1.855874 lr=0.032439 Epoch[136] Batch [2949]/[3759] Speed: 60.930343 samples/sec accuracy=55.738877 loss=1.856111 lr=0.032426 Epoch[136] Batch [2999]/[3759] Speed: 63.170795 samples/sec accuracy=55.769271 loss=1.855262 lr=0.032413 Epoch[136] Batch [3049]/[3759] Speed: 62.568834 samples/sec accuracy=55.738730 loss=1.856739 lr=0.032401 Epoch[136] Batch [3099]/[3759] Speed: 62.233535 samples/sec accuracy=55.740927 loss=1.856776 lr=0.032388 Epoch[136] Batch [3149]/[3759] Speed: 62.595050 samples/sec accuracy=55.726190 loss=1.856937 lr=0.032375 Epoch[136] Batch [3199]/[3759] Speed: 61.803917 samples/sec accuracy=55.731934 loss=1.857127 lr=0.032362 Epoch[136] Batch [3249]/[3759] Speed: 62.203641 samples/sec accuracy=55.745673 loss=1.857393 lr=0.032349 Epoch[136] Batch [3299]/[3759] Speed: 62.860254 samples/sec accuracy=55.719697 loss=1.858264 lr=0.032336 Epoch[136] Batch [3349]/[3759] Speed: 61.669102 samples/sec accuracy=55.719683 loss=1.857806 lr=0.032323 Epoch[136] Batch [3399]/[3759] Speed: 62.856993 samples/sec accuracy=55.702665 loss=1.858311 lr=0.032310 Epoch[136] Batch [3449]/[3759] Speed: 61.289652 samples/sec accuracy=55.691123 loss=1.858963 lr=0.032297 Epoch[136] Batch [3499]/[3759] Speed: 62.291835 samples/sec accuracy=55.660268 loss=1.860589 lr=0.032284 Epoch[136] Batch [3549]/[3759] Speed: 61.982102 samples/sec accuracy=55.637324 loss=1.861315 lr=0.032271 Epoch[136] Batch [3599]/[3759] Speed: 62.572147 samples/sec accuracy=55.607205 loss=1.861832 lr=0.032258 Epoch[136] Batch [3649]/[3759] Speed: 61.206149 samples/sec accuracy=55.574486 loss=1.863532 lr=0.032245 Epoch[136] Batch [3699]/[3759] Speed: 62.092048 samples/sec accuracy=55.565878 loss=1.863779 lr=0.032232 Epoch[136] Batch [3749]/[3759] Speed: 67.645594 samples/sec accuracy=55.555000 loss=1.864237 lr=0.032220 Batch [0049]/[0303]: acc-top1=54.375000 acc-top5=79.093750 Batch [0099]/[0303]: acc-top1=54.953125 acc-top5=79.671875 Batch [0149]/[0303]: acc-top1=54.875000 acc-top5=79.708333 Batch [0199]/[0303]: acc-top1=55.093750 acc-top5=79.945312 Batch [0249]/[0303]: acc-top1=55.031250 acc-top5=79.737500 Batch [0299]/[0303]: acc-top1=55.270833 acc-top5=79.843750 [Epoch 136] training: accuracy=55.553339 loss=1.864273 [Epoch 136] speed: 61 samples/sec time cost: 4191.668191 [Epoch 136] validation: acc-top1=55.249587 acc-top5=79.795792 loss=2.068033 Epoch[137] Batch [0049]/[3760] Speed: 41.675546 samples/sec accuracy=55.531250 loss=1.846164 lr=0.032204 Epoch[137] Batch [0099]/[3760] Speed: 58.868765 samples/sec accuracy=56.453125 loss=1.813658 lr=0.032191 Epoch[137] Batch [0149]/[3760] Speed: 62.168907 samples/sec accuracy=56.822917 loss=1.802501 lr=0.032179 Epoch[137] Batch [0199]/[3760] Speed: 61.206484 samples/sec accuracy=56.234375 loss=1.820784 lr=0.032166 Epoch[137] Batch [0249]/[3760] Speed: 61.504195 samples/sec accuracy=56.281250 loss=1.824666 lr=0.032153 Epoch[137] Batch [0299]/[3760] Speed: 61.029292 samples/sec accuracy=56.343750 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accuracy=55.880682 loss=1.842588 lr=0.031651 Epoch[137] Batch [2249]/[3760] Speed: 60.808341 samples/sec accuracy=55.856250 loss=1.844568 lr=0.031638 Epoch[137] Batch [2299]/[3760] Speed: 61.349381 samples/sec accuracy=55.886549 loss=1.843656 lr=0.031625 Epoch[137] Batch [2349]/[3760] Speed: 60.673384 samples/sec accuracy=55.896941 loss=1.843745 lr=0.031612 Epoch[137] Batch [2399]/[3760] Speed: 61.953075 samples/sec accuracy=55.899089 loss=1.844150 lr=0.031599 Epoch[137] Batch [2449]/[3760] Speed: 59.583935 samples/sec accuracy=55.913903 loss=1.843742 lr=0.031586 Epoch[137] Batch [2499]/[3760] Speed: 62.063781 samples/sec accuracy=55.890625 loss=1.844304 lr=0.031574 Epoch[137] Batch [2549]/[3760] Speed: 59.108357 samples/sec accuracy=55.878676 loss=1.844056 lr=0.031561 Epoch[137] Batch [2599]/[3760] Speed: 61.696365 samples/sec accuracy=55.869591 loss=1.845454 lr=0.031548 Epoch[137] Batch [2649]/[3760] Speed: 60.809802 samples/sec accuracy=55.885613 loss=1.845344 lr=0.031535 Epoch[137] 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accuracy=55.893353 loss=1.847108 lr=0.031407 Epoch[137] Batch [3199]/[3760] Speed: 61.102032 samples/sec accuracy=55.877930 loss=1.847982 lr=0.031394 Epoch[137] Batch [3249]/[3760] Speed: 61.806643 samples/sec accuracy=55.878365 loss=1.847555 lr=0.031381 Epoch[137] Batch [3299]/[3760] Speed: 61.707844 samples/sec accuracy=55.868371 loss=1.847616 lr=0.031368 Epoch[137] Batch [3349]/[3760] Speed: 62.413869 samples/sec accuracy=55.862407 loss=1.847866 lr=0.031356 Epoch[137] Batch [3399]/[3760] Speed: 60.871992 samples/sec accuracy=55.855699 loss=1.848501 lr=0.031343 Epoch[137] Batch [3449]/[3760] Speed: 62.826785 samples/sec accuracy=55.836957 loss=1.849077 lr=0.031330 Epoch[137] Batch [3499]/[3760] Speed: 61.937809 samples/sec accuracy=55.837946 loss=1.849308 lr=0.031317 Epoch[137] Batch [3549]/[3760] Speed: 62.807342 samples/sec accuracy=55.821743 loss=1.850131 lr=0.031304 Epoch[137] Batch [3599]/[3760] Speed: 61.732076 samples/sec accuracy=55.830729 loss=1.850012 lr=0.031292 Epoch[137] Batch [3649]/[3760] Speed: 62.137786 samples/sec accuracy=55.843750 loss=1.850312 lr=0.031279 Epoch[137] Batch [3699]/[3760] Speed: 61.915397 samples/sec accuracy=55.848395 loss=1.849988 lr=0.031266 Epoch[137] Batch [3749]/[3760] Speed: 67.394054 samples/sec accuracy=55.840000 loss=1.850827 lr=0.031253 Batch [0049]/[0303]: acc-top1=54.718750 acc-top5=79.843750 Batch [0099]/[0303]: acc-top1=55.390625 acc-top5=79.546875 Batch [0149]/[0303]: acc-top1=55.156250 acc-top5=79.125000 Batch [0199]/[0303]: acc-top1=55.453125 acc-top5=79.390625 Batch [0249]/[0303]: acc-top1=55.037500 acc-top5=79.337500 Batch [0299]/[0303]: acc-top1=55.161458 acc-top5=79.541667 [Epoch 137] training: accuracy=55.839013 loss=1.850790 [Epoch 137] speed: 61 samples/sec time cost: 4233.020963 [Epoch 137] validation: acc-top1=55.130982 acc-top5=79.517327 loss=2.106294 Epoch[138] Batch [0049]/[3760] Speed: 41.207615 samples/sec accuracy=56.218750 loss=1.799138 lr=0.031238 Epoch[138] Batch [0099]/[3760] Speed: 59.906796 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lr=0.030384 Epoch[138] Batch [3449]/[3760] Speed: 60.647062 samples/sec accuracy=56.206069 loss=1.827403 lr=0.030371 Epoch[138] Batch [3499]/[3760] Speed: 62.043836 samples/sec accuracy=56.187946 loss=1.828456 lr=0.030359 Epoch[138] Batch [3549]/[3760] Speed: 60.375866 samples/sec accuracy=56.173415 loss=1.828653 lr=0.030346 Epoch[138] Batch [3599]/[3760] Speed: 61.153637 samples/sec accuracy=56.137587 loss=1.830074 lr=0.030333 Epoch[138] Batch [3649]/[3760] Speed: 61.401349 samples/sec accuracy=56.158818 loss=1.829214 lr=0.030321 Epoch[138] Batch [3699]/[3760] Speed: 62.418963 samples/sec accuracy=56.151605 loss=1.829442 lr=0.030308 Epoch[138] Batch [3749]/[3760] Speed: 66.995106 samples/sec accuracy=56.162500 loss=1.829337 lr=0.030295 Batch [0049]/[0303]: acc-top1=54.843750 acc-top5=79.750000 Batch [0099]/[0303]: acc-top1=55.906250 acc-top5=80.062500 Batch [0149]/[0303]: acc-top1=55.604167 acc-top5=79.854167 Batch [0199]/[0303]: acc-top1=56.093750 acc-top5=79.851562 Batch [0249]/[0303]: acc-top1=55.968750 acc-top5=79.781250 Batch [0299]/[0303]: acc-top1=56.197917 acc-top5=79.953125 [Epoch 138] training: accuracy=56.166057 loss=1.829230 [Epoch 138] speed: 61 samples/sec time cost: 4222.706576 [Epoch 138] validation: acc-top1=56.141708 acc-top5=79.924711 loss=2.072254 Epoch[139] Batch [0049]/[3759] Speed: 40.980456 samples/sec accuracy=57.000000 loss=1.785173 lr=0.030280 Epoch[139] Batch [0099]/[3759] Speed: 60.683442 samples/sec accuracy=57.109375 loss=1.789975 lr=0.030267 Epoch[139] Batch [0149]/[3759] Speed: 60.972922 samples/sec accuracy=57.437500 loss=1.785647 lr=0.030255 Epoch[139] Batch [0199]/[3759] Speed: 61.147494 samples/sec accuracy=57.648438 loss=1.774393 lr=0.030242 Epoch[139] Batch [0249]/[3759] Speed: 61.792073 samples/sec accuracy=57.693750 loss=1.757648 lr=0.030229 Epoch[139] Batch [0299]/[3759] Speed: 60.722775 samples/sec accuracy=57.536458 loss=1.761762 lr=0.030217 Epoch[139] Batch [0349]/[3759] Speed: 62.855476 samples/sec 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Batch [3699]/[3759] Speed: 62.551251 samples/sec accuracy=56.612753 loss=1.817132 lr=0.029359 Epoch[139] Batch [3749]/[3759] Speed: 66.975726 samples/sec accuracy=56.627917 loss=1.816458 lr=0.029347 Batch [0049]/[0303]: acc-top1=55.625000 acc-top5=79.906250 Batch [0099]/[0303]: acc-top1=56.453125 acc-top5=80.453125 Batch [0149]/[0303]: acc-top1=55.885417 acc-top5=80.145833 Batch [0199]/[0303]: acc-top1=56.039062 acc-top5=80.195312 Batch [0249]/[0303]: acc-top1=55.843750 acc-top5=80.062500 Batch [0299]/[0303]: acc-top1=55.958333 acc-top5=80.156250 [Epoch 139] training: accuracy=56.626181 loss=1.816547 [Epoch 139] speed: 61 samples/sec time cost: 4201.739664 [Epoch 139] validation: acc-top1=55.935437 acc-top5=80.115512 loss=2.056094 Epoch[140] Batch [0049]/[3760] Speed: 40.811085 samples/sec accuracy=55.875000 loss=1.807972 lr=0.029332 Epoch[140] Batch [0099]/[3760] Speed: 60.616350 samples/sec accuracy=56.468750 loss=1.794648 lr=0.029320 Epoch[140] Batch [0149]/[3760] Speed: 61.083060 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lr=0.028719 Epoch[140] Batch [2549]/[3760] Speed: 62.666548 samples/sec accuracy=57.022059 loss=1.797410 lr=0.028707 Epoch[140] Batch [2599]/[3760] Speed: 61.818367 samples/sec accuracy=57.016226 loss=1.798156 lr=0.028694 Epoch[140] Batch [2649]/[3760] Speed: 62.402420 samples/sec accuracy=57.026533 loss=1.797676 lr=0.028682 Epoch[140] Batch [2699]/[3760] Speed: 60.541909 samples/sec accuracy=57.009259 loss=1.798344 lr=0.028669 Epoch[140] Batch [2749]/[3760] Speed: 62.981338 samples/sec accuracy=57.023864 loss=1.798070 lr=0.028657 Epoch[140] Batch [2799]/[3760] Speed: 62.011475 samples/sec accuracy=57.016183 loss=1.798451 lr=0.028645 Epoch[140] Batch [2849]/[3760] Speed: 62.717369 samples/sec accuracy=57.004386 loss=1.800089 lr=0.028632 Epoch[140] Batch [2899]/[3760] Speed: 62.259512 samples/sec accuracy=56.983836 loss=1.801066 lr=0.028620 Epoch[140] Batch [2949]/[3760] Speed: 61.805994 samples/sec accuracy=56.969280 loss=1.800986 lr=0.028607 Epoch[140] Batch [2999]/[3760] Speed: 62.596344 samples/sec accuracy=56.960938 loss=1.801216 lr=0.028595 Epoch[140] Batch [3049]/[3760] Speed: 62.389088 samples/sec accuracy=56.933402 loss=1.802012 lr=0.028582 Epoch[140] Batch [3099]/[3760] Speed: 61.900274 samples/sec accuracy=56.921875 loss=1.802782 lr=0.028570 Epoch[140] Batch [3149]/[3760] Speed: 62.170005 samples/sec accuracy=56.904762 loss=1.803190 lr=0.028557 Epoch[140] Batch [3199]/[3760] Speed: 62.214408 samples/sec accuracy=56.894531 loss=1.803495 lr=0.028545 Epoch[140] Batch [3249]/[3760] Speed: 62.575770 samples/sec accuracy=56.875481 loss=1.804701 lr=0.028533 Epoch[140] Batch [3299]/[3760] Speed: 62.416924 samples/sec accuracy=56.863163 loss=1.805200 lr=0.028520 Epoch[140] Batch [3349]/[3760] Speed: 62.429638 samples/sec accuracy=56.856343 loss=1.805173 lr=0.028508 Epoch[140] Batch [3399]/[3760] Speed: 61.730380 samples/sec accuracy=56.859835 loss=1.804639 lr=0.028495 Epoch[140] Batch [3449]/[3760] Speed: 62.558376 samples/sec accuracy=56.876812 loss=1.804335 lr=0.028483 Epoch[140] Batch [3499]/[3760] Speed: 62.199322 samples/sec accuracy=56.887500 loss=1.803869 lr=0.028470 Epoch[140] Batch [3549]/[3760] Speed: 62.905517 samples/sec accuracy=56.883803 loss=1.803985 lr=0.028458 Epoch[140] Batch [3599]/[3760] Speed: 61.130682 samples/sec accuracy=56.893663 loss=1.803397 lr=0.028446 Epoch[140] Batch [3649]/[3760] Speed: 62.733417 samples/sec accuracy=56.893836 loss=1.803049 lr=0.028433 Epoch[140] Batch [3699]/[3760] Speed: 61.764185 samples/sec accuracy=56.912162 loss=1.802879 lr=0.028421 Epoch[140] Batch [3749]/[3760] Speed: 67.152685 samples/sec accuracy=56.899167 loss=1.803332 lr=0.028408 Batch [0049]/[0303]: acc-top1=55.531250 acc-top5=79.593750 Batch [0099]/[0303]: acc-top1=56.453125 acc-top5=80.156250 Batch [0149]/[0303]: acc-top1=56.333333 acc-top5=80.177083 Batch [0199]/[0303]: acc-top1=56.625000 acc-top5=80.335938 Batch [0249]/[0303]: acc-top1=56.312500 acc-top5=80.131250 Batch [0299]/[0303]: acc-top1=56.291667 acc-top5=80.333333 [Epoch 140] training: accuracy=56.896609 loss=1.803421 [Epoch 140] speed: 61 samples/sec time cost: 4193.870115 [Epoch 140] validation: acc-top1=56.244843 acc-top5=80.316625 loss=2.072830 Epoch[141] Batch [0049]/[3760] Speed: 41.658633 samples/sec accuracy=56.031250 loss=1.816266 lr=0.028393 Epoch[141] Batch [0099]/[3760] Speed: 61.241871 samples/sec accuracy=56.656250 loss=1.797068 lr=0.028381 Epoch[141] Batch [0149]/[3760] Speed: 61.377401 samples/sec accuracy=57.072917 loss=1.797695 lr=0.028369 Epoch[141] Batch [0199]/[3760] Speed: 60.900643 samples/sec accuracy=57.250000 loss=1.784389 lr=0.028356 Epoch[141] Batch [0249]/[3760] Speed: 61.667029 samples/sec accuracy=57.287500 loss=1.782967 lr=0.028344 Epoch[141] Batch [0299]/[3760] Speed: 60.472865 samples/sec accuracy=57.437500 loss=1.776525 lr=0.028331 Epoch[141] Batch [0349]/[3760] Speed: 61.616115 samples/sec accuracy=57.535714 loss=1.771889 lr=0.028319 Epoch[141] Batch [0399]/[3760] Speed: 61.063941 samples/sec accuracy=57.558594 loss=1.772120 lr=0.028306 Epoch[141] Batch [0449]/[3760] Speed: 62.271072 samples/sec accuracy=57.694444 loss=1.768821 lr=0.028294 Epoch[141] Batch [0499]/[3760] Speed: 59.945231 samples/sec accuracy=57.859375 loss=1.764162 lr=0.028282 Epoch[141] Batch [0549]/[3760] Speed: 63.416063 samples/sec accuracy=57.803977 loss=1.766549 lr=0.028269 Epoch[141] Batch [0599]/[3760] Speed: 61.404179 samples/sec accuracy=57.781250 loss=1.767101 lr=0.028257 Epoch[141] Batch [0649]/[3760] Speed: 62.549199 samples/sec accuracy=57.757212 loss=1.767641 lr=0.028245 Epoch[141] Batch [0699]/[3760] Speed: 61.200792 samples/sec accuracy=57.754464 loss=1.770279 lr=0.028232 Epoch[141] Batch [0749]/[3760] Speed: 61.572051 samples/sec accuracy=57.797917 loss=1.766620 lr=0.028220 Epoch[141] Batch [0799]/[3760] Speed: 61.818574 samples/sec accuracy=57.677734 loss=1.770439 lr=0.028207 Epoch[141] Batch [0849]/[3760] Speed: 62.723584 samples/sec accuracy=57.599265 loss=1.772845 lr=0.028195 Epoch[141] 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accuracy=57.501157 loss=1.775205 lr=0.028071 Epoch[141] Batch [1399]/[3760] Speed: 61.156917 samples/sec accuracy=57.500000 loss=1.776180 lr=0.028059 Epoch[141] Batch [1449]/[3760] Speed: 63.214625 samples/sec accuracy=57.515086 loss=1.775964 lr=0.028046 Epoch[141] Batch [1499]/[3760] Speed: 61.969908 samples/sec accuracy=57.448958 loss=1.778847 lr=0.028034 Epoch[141] Batch [1549]/[3760] Speed: 62.794002 samples/sec accuracy=57.425403 loss=1.779989 lr=0.028022 Epoch[141] Batch [1599]/[3760] Speed: 62.123235 samples/sec accuracy=57.396484 loss=1.781055 lr=0.028009 Epoch[141] Batch [1649]/[3760] Speed: 61.983430 samples/sec accuracy=57.364583 loss=1.782597 lr=0.027997 Epoch[141] Batch [1699]/[3760] Speed: 62.309583 samples/sec accuracy=57.410846 loss=1.780229 lr=0.027985 Epoch[141] Batch [1749]/[3760] Speed: 62.234879 samples/sec accuracy=57.429464 loss=1.779545 lr=0.027972 Epoch[141] Batch [1799]/[3760] Speed: 61.846909 samples/sec accuracy=57.434896 loss=1.779346 lr=0.027960 Epoch[141] 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accuracy=57.237981 loss=1.786874 lr=0.027602 Epoch[141] Batch [3299]/[3760] Speed: 62.918900 samples/sec accuracy=57.230114 loss=1.787298 lr=0.027590 Epoch[141] Batch [3349]/[3760] Speed: 62.401836 samples/sec accuracy=57.221549 loss=1.787723 lr=0.027578 Epoch[141] Batch [3399]/[3760] Speed: 62.640567 samples/sec accuracy=57.205882 loss=1.788050 lr=0.027565 Epoch[141] Batch [3449]/[3760] Speed: 61.635413 samples/sec accuracy=57.207880 loss=1.788432 lr=0.027553 Epoch[141] Batch [3499]/[3760] Speed: 62.819410 samples/sec accuracy=57.181250 loss=1.789837 lr=0.027541 Epoch[141] Batch [3549]/[3760] Speed: 61.877900 samples/sec accuracy=57.178697 loss=1.789691 lr=0.027529 Epoch[141] Batch [3599]/[3760] Speed: 62.626183 samples/sec accuracy=57.196181 loss=1.789172 lr=0.027516 Epoch[141] Batch [3649]/[3760] Speed: 62.161096 samples/sec accuracy=57.187500 loss=1.789338 lr=0.027504 Epoch[141] Batch [3699]/[3760] Speed: 62.078164 samples/sec accuracy=57.171453 loss=1.790062 lr=0.027492 Epoch[141] Batch [3749]/[3760] Speed: 67.303262 samples/sec accuracy=57.154167 loss=1.790644 lr=0.027479 Batch [0049]/[0303]: acc-top1=55.343750 acc-top5=80.343750 Batch [0099]/[0303]: acc-top1=56.140625 acc-top5=80.640625 Batch [0149]/[0303]: acc-top1=55.833333 acc-top5=80.468750 Batch [0199]/[0303]: acc-top1=56.156250 acc-top5=80.335938 Batch [0249]/[0303]: acc-top1=55.900000 acc-top5=80.068750 Batch [0299]/[0303]: acc-top1=56.156250 acc-top5=80.348958 [Epoch 141] training: accuracy=57.155502 loss=1.790725 [Epoch 141] speed: 61 samples/sec time cost: 4191.952815 [Epoch 141] validation: acc-top1=56.136551 acc-top5=80.321782 loss=2.096732 Epoch[142] Batch [0049]/[3759] Speed: 41.632624 samples/sec accuracy=58.062500 loss=1.715989 lr=0.027465 Epoch[142] Batch [0099]/[3759] Speed: 60.574094 samples/sec accuracy=57.953125 loss=1.724741 lr=0.027452 Epoch[142] Batch [0149]/[3759] Speed: 60.488172 samples/sec accuracy=57.916667 loss=1.735878 lr=0.027440 Epoch[142] Batch [0199]/[3759] Speed: 60.974506 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lr=0.026853 Epoch[142] Batch [2599]/[3759] Speed: 61.608964 samples/sec accuracy=57.503005 loss=1.765275 lr=0.026841 Epoch[142] Batch [2649]/[3759] Speed: 61.857750 samples/sec accuracy=57.474057 loss=1.766583 lr=0.026829 Epoch[142] Batch [2699]/[3759] Speed: 62.029714 samples/sec accuracy=57.487269 loss=1.766224 lr=0.026816 Epoch[142] Batch [2749]/[3759] Speed: 62.172219 samples/sec accuracy=57.463636 loss=1.766653 lr=0.026804 Epoch[142] Batch [2799]/[3759] Speed: 62.080606 samples/sec accuracy=57.468192 loss=1.767160 lr=0.026792 Epoch[142] Batch [2849]/[3759] Speed: 61.501359 samples/sec accuracy=57.479715 loss=1.767536 lr=0.026780 Epoch[142] Batch [2899]/[3759] Speed: 61.908805 samples/sec accuracy=57.469828 loss=1.767856 lr=0.026768 Epoch[142] Batch [2949]/[3759] Speed: 62.316049 samples/sec accuracy=57.443856 loss=1.768391 lr=0.026756 Epoch[142] Batch [2999]/[3759] Speed: 62.263368 samples/sec accuracy=57.446875 loss=1.768850 lr=0.026743 Epoch[142] Batch [3049]/[3759] Speed: 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lr=0.026622 Epoch[142] Batch [3549]/[3759] Speed: 61.532662 samples/sec accuracy=57.408451 loss=1.772953 lr=0.026610 Epoch[142] Batch [3599]/[3759] Speed: 62.014527 samples/sec accuracy=57.393663 loss=1.773988 lr=0.026597 Epoch[142] Batch [3649]/[3759] Speed: 62.541491 samples/sec accuracy=57.386558 loss=1.774565 lr=0.026585 Epoch[142] Batch [3699]/[3759] Speed: 62.309910 samples/sec accuracy=57.374578 loss=1.774928 lr=0.026573 Epoch[142] Batch [3749]/[3759] Speed: 66.531791 samples/sec accuracy=57.392500 loss=1.774443 lr=0.026561 Batch [0049]/[0303]: acc-top1=55.656250 acc-top5=79.875000 Batch [0099]/[0303]: acc-top1=56.109375 acc-top5=80.437500 Batch [0149]/[0303]: acc-top1=56.270833 acc-top5=80.333333 Batch [0199]/[0303]: acc-top1=56.296875 acc-top5=80.500000 Batch [0249]/[0303]: acc-top1=56.225000 acc-top5=80.381250 Batch [0299]/[0303]: acc-top1=56.380208 acc-top5=80.572917 [Epoch 142] training: accuracy=57.395168 loss=1.774232 [Epoch 142] speed: 61 samples/sec time cost: 4197.998986 [Epoch 142] validation: acc-top1=56.337665 acc-top5=80.548680 loss=2.066256 Epoch[143] Batch [0049]/[3760] Speed: 41.639329 samples/sec accuracy=58.250000 loss=1.734748 lr=0.026547 Epoch[143] Batch [0099]/[3760] Speed: 60.152345 samples/sec accuracy=58.484375 loss=1.723640 lr=0.026534 Epoch[143] Batch [0149]/[3760] Speed: 61.135195 samples/sec accuracy=58.666667 loss=1.707307 lr=0.026522 Epoch[143] Batch [0199]/[3760] Speed: 60.230893 samples/sec accuracy=58.398438 loss=1.724788 lr=0.026510 Epoch[143] Batch [0249]/[3760] Speed: 61.465014 samples/sec accuracy=58.281250 loss=1.729511 lr=0.026498 Epoch[143] Batch [0299]/[3760] Speed: 60.874533 samples/sec accuracy=58.593750 loss=1.721715 lr=0.026486 Epoch[143] Batch [0349]/[3760] Speed: 62.666343 samples/sec accuracy=58.687500 loss=1.718168 lr=0.026474 Epoch[143] Batch [0399]/[3760] Speed: 60.839094 samples/sec accuracy=58.800781 loss=1.712235 lr=0.026462 Epoch[143] Batch [0449]/[3760] Speed: 61.732475 samples/sec accuracy=58.684028 loss=1.716573 lr=0.026450 Epoch[143] Batch [0499]/[3760] Speed: 62.073138 samples/sec accuracy=58.671875 loss=1.718900 lr=0.026437 Epoch[143] Batch [0549]/[3760] Speed: 62.793735 samples/sec accuracy=58.650568 loss=1.720520 lr=0.026425 Epoch[143] Batch [0599]/[3760] Speed: 62.265655 samples/sec accuracy=58.690104 loss=1.720936 lr=0.026413 Epoch[143] Batch [0649]/[3760] Speed: 62.330912 samples/sec accuracy=58.689904 loss=1.723081 lr=0.026401 Epoch[143] Batch [0699]/[3760] Speed: 61.716272 samples/sec accuracy=58.468750 loss=1.730279 lr=0.026389 Epoch[143] Batch [0749]/[3760] Speed: 62.557939 samples/sec accuracy=58.352083 loss=1.735129 lr=0.026377 Epoch[143] Batch [0799]/[3760] Speed: 62.196725 samples/sec accuracy=58.410156 loss=1.734460 lr=0.026365 Epoch[143] Batch [0849]/[3760] Speed: 62.728930 samples/sec accuracy=58.433824 loss=1.733203 lr=0.026353 Epoch[143] Batch [0899]/[3760] Speed: 60.883706 samples/sec accuracy=58.359375 loss=1.736981 lr=0.026341 Epoch[143] 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accuracy=58.116071 loss=1.744224 lr=0.026220 Epoch[143] Batch [1449]/[3760] Speed: 62.469536 samples/sec accuracy=58.154095 loss=1.742428 lr=0.026207 Epoch[143] Batch [1499]/[3760] Speed: 62.166545 samples/sec accuracy=58.132292 loss=1.743780 lr=0.026195 Epoch[143] Batch [1549]/[3760] Speed: 62.624457 samples/sec accuracy=58.088710 loss=1.745389 lr=0.026183 Epoch[143] Batch [1599]/[3760] Speed: 61.587070 samples/sec accuracy=58.033203 loss=1.746743 lr=0.026171 Epoch[143] Batch [1649]/[3760] Speed: 62.544461 samples/sec accuracy=58.033144 loss=1.747617 lr=0.026159 Epoch[143] Batch [1699]/[3760] Speed: 62.436640 samples/sec accuracy=58.038603 loss=1.747347 lr=0.026147 Epoch[143] Batch [1749]/[3760] Speed: 62.278745 samples/sec accuracy=58.021429 loss=1.747275 lr=0.026135 Epoch[143] Batch [1799]/[3760] Speed: 62.477378 samples/sec accuracy=58.030382 loss=1.747731 lr=0.026123 Epoch[143] Batch [1849]/[3760] Speed: 61.280813 samples/sec accuracy=58.034628 loss=1.747372 lr=0.026111 Epoch[143] 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accuracy=57.918087 loss=1.755491 lr=0.025762 Epoch[143] Batch [3349]/[3760] Speed: 62.223622 samples/sec accuracy=57.909981 loss=1.755779 lr=0.025749 Epoch[143] Batch [3399]/[3760] Speed: 62.223542 samples/sec accuracy=57.899357 loss=1.757067 lr=0.025737 Epoch[143] Batch [3449]/[3760] Speed: 61.758550 samples/sec accuracy=57.887228 loss=1.757724 lr=0.025725 Epoch[143] Batch [3499]/[3760] Speed: 62.821577 samples/sec accuracy=57.856696 loss=1.758373 lr=0.025713 Epoch[143] Batch [3549]/[3760] Speed: 61.856873 samples/sec accuracy=57.847271 loss=1.758306 lr=0.025701 Epoch[143] Batch [3599]/[3760] Speed: 62.171577 samples/sec accuracy=57.818142 loss=1.759632 lr=0.025689 Epoch[143] Batch [3649]/[3760] Speed: 61.544741 samples/sec accuracy=57.818921 loss=1.759321 lr=0.025677 Epoch[143] Batch [3699]/[3760] Speed: 62.762483 samples/sec accuracy=57.818834 loss=1.759181 lr=0.025665 Epoch[143] Batch [3749]/[3760] Speed: 67.202142 samples/sec accuracy=57.834167 loss=1.758719 lr=0.025653 Batch [0049]/[0303]: acc-top1=57.156250 acc-top5=80.687500 Batch [0099]/[0303]: acc-top1=57.375000 acc-top5=80.859375 Batch [0149]/[0303]: acc-top1=56.916667 acc-top5=80.635417 Batch [0199]/[0303]: acc-top1=57.335938 acc-top5=80.726562 Batch [0249]/[0303]: acc-top1=56.956250 acc-top5=80.681250 Batch [0299]/[0303]: acc-top1=57.192708 acc-top5=80.968750 [Epoch 143] training: accuracy=57.828707 loss=1.758990 [Epoch 143] speed: 61 samples/sec time cost: 4190.856350 [Epoch 143] validation: acc-top1=57.136964 acc-top5=80.930281 loss=2.002369 Epoch[144] Batch [0049]/[3760] Speed: 41.928003 samples/sec accuracy=57.125000 loss=1.729595 lr=0.025639 Epoch[144] Batch [0099]/[3760] Speed: 58.227077 samples/sec accuracy=57.890625 loss=1.720584 lr=0.025627 Epoch[144] Batch [0149]/[3760] Speed: 62.228886 samples/sec accuracy=58.093750 loss=1.696827 lr=0.025615 Epoch[144] Batch [0199]/[3760] Speed: 60.149858 samples/sec accuracy=58.414062 loss=1.696441 lr=0.025603 Epoch[144] Batch [0249]/[3760] Speed: 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lr=0.025030 Epoch[144] Batch [2649]/[3760] Speed: 62.003455 samples/sec accuracy=58.195165 loss=1.734863 lr=0.025018 Epoch[144] Batch [2699]/[3760] Speed: 61.374029 samples/sec accuracy=58.181713 loss=1.735967 lr=0.025006 Epoch[144] Batch [2749]/[3760] Speed: 62.223786 samples/sec accuracy=58.166477 loss=1.736582 lr=0.024994 Epoch[144] Batch [2799]/[3760] Speed: 60.925273 samples/sec accuracy=58.164062 loss=1.736354 lr=0.024982 Epoch[144] Batch [2849]/[3760] Speed: 62.249259 samples/sec accuracy=58.171601 loss=1.736667 lr=0.024970 Epoch[144] Batch [2899]/[3760] Speed: 60.399078 samples/sec accuracy=58.179418 loss=1.737041 lr=0.024958 Epoch[144] Batch [2949]/[3760] Speed: 62.438928 samples/sec accuracy=58.207627 loss=1.736482 lr=0.024947 Epoch[144] Batch [2999]/[3760] Speed: 60.517385 samples/sec accuracy=58.191667 loss=1.737335 lr=0.024935 Epoch[144] Batch [3049]/[3760] Speed: 62.161720 samples/sec accuracy=58.194672 loss=1.737357 lr=0.024923 Epoch[144] Batch [3099]/[3760] Speed: 59.644080 samples/sec accuracy=58.190524 loss=1.737566 lr=0.024911 Epoch[144] Batch [3149]/[3760] Speed: 62.375523 samples/sec accuracy=58.174107 loss=1.737689 lr=0.024899 Epoch[144] Batch [3199]/[3760] Speed: 60.613090 samples/sec accuracy=58.183105 loss=1.737228 lr=0.024887 Epoch[144] Batch [3249]/[3760] Speed: 62.538246 samples/sec accuracy=58.175000 loss=1.737425 lr=0.024875 Epoch[144] Batch [3299]/[3760] Speed: 61.444298 samples/sec accuracy=58.163352 loss=1.737962 lr=0.024863 Epoch[144] Batch [3349]/[3760] Speed: 61.422748 samples/sec accuracy=58.137593 loss=1.738363 lr=0.024852 Epoch[144] Batch [3399]/[3760] Speed: 61.616598 samples/sec accuracy=58.128676 loss=1.738975 lr=0.024840 Epoch[144] Batch [3449]/[3760] Speed: 61.853188 samples/sec accuracy=58.122736 loss=1.739236 lr=0.024828 Epoch[144] Batch [3499]/[3760] Speed: 61.312298 samples/sec accuracy=58.116518 loss=1.739087 lr=0.024816 Epoch[144] Batch [3549]/[3760] Speed: 60.342979 samples/sec accuracy=58.128961 loss=1.739275 lr=0.024804 Epoch[144] Batch [3599]/[3760] Speed: 61.782439 samples/sec accuracy=58.121962 loss=1.739613 lr=0.024792 Epoch[144] Batch [3649]/[3760] Speed: 61.779264 samples/sec accuracy=58.098459 loss=1.740723 lr=0.024780 Epoch[144] Batch [3699]/[3760] Speed: 61.693590 samples/sec accuracy=58.070946 loss=1.742004 lr=0.024769 Epoch[144] Batch [3749]/[3760] Speed: 66.966240 samples/sec accuracy=58.058333 loss=1.742398 lr=0.024757 Batch [0049]/[0303]: acc-top1=57.562500 acc-top5=81.000000 Batch [0099]/[0303]: acc-top1=57.656250 acc-top5=81.359375 Batch [0149]/[0303]: acc-top1=57.135417 acc-top5=80.895833 Batch [0199]/[0303]: acc-top1=57.421875 acc-top5=80.914062 Batch [0249]/[0303]: acc-top1=57.437500 acc-top5=80.762500 Batch [0299]/[0303]: acc-top1=57.755208 acc-top5=81.036458 [Epoch 144] training: accuracy=58.061420 loss=1.742348 [Epoch 144] speed: 61 samples/sec time cost: 4216.281436 [Epoch 144] validation: acc-top1=57.683581 acc-top5=80.987005 loss=1.942740 Epoch[145] Batch 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accuracy=58.502799 loss=1.726671 lr=0.023965 Epoch[145] Batch [3399]/[3759] Speed: 60.716757 samples/sec accuracy=58.513327 loss=1.726043 lr=0.023953 Epoch[145] Batch [3449]/[3759] Speed: 63.084201 samples/sec accuracy=58.529891 loss=1.725808 lr=0.023942 Epoch[145] Batch [3499]/[3759] Speed: 62.412519 samples/sec accuracy=58.502232 loss=1.726478 lr=0.023930 Epoch[145] Batch [3549]/[3759] Speed: 61.653906 samples/sec accuracy=58.475792 loss=1.727834 lr=0.023918 Epoch[145] Batch [3599]/[3759] Speed: 62.528007 samples/sec accuracy=58.464410 loss=1.728308 lr=0.023906 Epoch[145] Batch [3649]/[3759] Speed: 60.536038 samples/sec accuracy=58.477312 loss=1.728310 lr=0.023895 Epoch[145] Batch [3699]/[3759] Speed: 62.671833 samples/sec accuracy=58.449324 loss=1.729357 lr=0.023883 Epoch[145] Batch [3749]/[3759] Speed: 67.338859 samples/sec accuracy=58.441250 loss=1.730241 lr=0.023871 Batch [0049]/[0303]: acc-top1=58.156250 acc-top5=81.000000 Batch [0099]/[0303]: acc-top1=57.812500 acc-top5=81.718750 Batch [0149]/[0303]: acc-top1=57.208333 acc-top5=81.343750 Batch [0199]/[0303]: acc-top1=57.734375 acc-top5=81.437500 Batch [0249]/[0303]: acc-top1=57.450000 acc-top5=81.368750 Batch [0299]/[0303]: acc-top1=57.848958 acc-top5=81.666667 [Epoch 145] training: accuracy=58.440576 loss=1.730172 [Epoch 145] speed: 61 samples/sec time cost: 4194.907686 [Epoch 145] validation: acc-top1=57.797030 acc-top5=81.652228 loss=2.003393 Epoch[146] Batch [0049]/[3760] Speed: 40.970042 samples/sec accuracy=59.000000 loss=1.731354 lr=0.023858 Epoch[146] Batch [0099]/[3760] Speed: 60.692011 samples/sec accuracy=59.609375 loss=1.684433 lr=0.023846 Epoch[146] Batch [0149]/[3760] Speed: 60.221344 samples/sec accuracy=59.239583 loss=1.697014 lr=0.023834 Epoch[146] Batch [0199]/[3760] Speed: 61.165896 samples/sec accuracy=59.007812 loss=1.701712 lr=0.023822 Epoch[146] Batch [0249]/[3760] Speed: 61.393470 samples/sec accuracy=59.162500 loss=1.685877 lr=0.023811 Epoch[146] Batch [0299]/[3760] 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accuracy=59.159926 loss=1.694168 lr=0.023473 Epoch[146] Batch [1749]/[3760] Speed: 59.453423 samples/sec accuracy=59.136607 loss=1.694856 lr=0.023461 Epoch[146] Batch [1799]/[3760] Speed: 63.086734 samples/sec accuracy=59.156250 loss=1.694624 lr=0.023450 Epoch[146] Batch [1849]/[3760] Speed: 61.525453 samples/sec accuracy=59.109797 loss=1.696118 lr=0.023438 Epoch[146] Batch [1899]/[3760] Speed: 62.311285 samples/sec accuracy=59.094572 loss=1.697209 lr=0.023426 Epoch[146] Batch [1949]/[3760] Speed: 61.070572 samples/sec accuracy=59.042468 loss=1.698953 lr=0.023415 Epoch[146] Batch [1999]/[3760] Speed: 61.560037 samples/sec accuracy=59.027344 loss=1.699712 lr=0.023403 Epoch[146] Batch [2049]/[3760] Speed: 61.451932 samples/sec accuracy=59.015244 loss=1.699405 lr=0.023391 Epoch[146] Batch [2099]/[3760] Speed: 62.418019 samples/sec accuracy=58.965030 loss=1.700837 lr=0.023380 Epoch[146] Batch [2149]/[3760] Speed: 60.815612 samples/sec accuracy=58.977471 loss=1.700956 lr=0.023368 Epoch[146] 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accuracy=58.971108 loss=1.702798 lr=0.023252 Epoch[146] Batch [2699]/[3760] Speed: 61.578807 samples/sec accuracy=59.004051 loss=1.702590 lr=0.023241 Epoch[146] Batch [2749]/[3760] Speed: 62.294608 samples/sec accuracy=58.992614 loss=1.703828 lr=0.023229 Epoch[146] Batch [2799]/[3760] Speed: 61.667909 samples/sec accuracy=58.963728 loss=1.705239 lr=0.023218 Epoch[146] Batch [2849]/[3760] Speed: 62.074303 samples/sec accuracy=58.955044 loss=1.705624 lr=0.023206 Epoch[146] Batch [2899]/[3760] Speed: 62.045146 samples/sec accuracy=58.942888 loss=1.706141 lr=0.023194 Epoch[146] Batch [2949]/[3760] Speed: 61.852530 samples/sec accuracy=58.920021 loss=1.707293 lr=0.023183 Epoch[146] Batch [2999]/[3760] Speed: 62.247806 samples/sec accuracy=58.918750 loss=1.706878 lr=0.023171 Epoch[146] Batch [3049]/[3760] Speed: 62.263156 samples/sec accuracy=58.919570 loss=1.707060 lr=0.023160 Epoch[146] Batch [3099]/[3760] Speed: 61.982329 samples/sec accuracy=58.906250 loss=1.707499 lr=0.023148 Epoch[146] 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accuracy=58.915365 loss=1.707788 lr=0.023033 Epoch[146] Batch [3649]/[3760] Speed: 61.012736 samples/sec accuracy=58.900257 loss=1.708322 lr=0.023021 Epoch[146] Batch [3699]/[3760] Speed: 62.276925 samples/sec accuracy=58.867399 loss=1.709134 lr=0.023009 Epoch[146] Batch [3749]/[3760] Speed: 67.385577 samples/sec accuracy=58.867500 loss=1.708709 lr=0.022998 Batch [0049]/[0303]: acc-top1=55.968750 acc-top5=80.312500 Batch [0099]/[0303]: acc-top1=57.265625 acc-top5=81.015625 Batch [0149]/[0303]: acc-top1=56.812500 acc-top5=80.885417 Batch [0199]/[0303]: acc-top1=57.312500 acc-top5=81.070312 Batch [0249]/[0303]: acc-top1=56.981250 acc-top5=80.856250 Batch [0299]/[0303]: acc-top1=57.239583 acc-top5=81.119792 [Epoch 146] training: accuracy=58.870928 loss=1.708788 [Epoch 146] speed: 61 samples/sec time cost: 4211.015889 [Epoch 146] validation: acc-top1=57.219472 acc-top5=81.069513 loss=2.033951 Epoch[147] Batch [0049]/[3760] Speed: 41.292513 samples/sec accuracy=57.906250 loss=1.736617 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acc-top1=55.484375 acc-top5=79.742188 Batch [0249]/[0303]: acc-top1=55.356250 acc-top5=79.587500 Batch [0299]/[0303]: acc-top1=55.765625 acc-top5=79.854167 [Epoch 147] training: accuracy=59.136469 loss=1.695997 [Epoch 147] speed: 61 samples/sec time cost: 4223.106260 [Epoch 147] validation: acc-top1=55.724010 acc-top5=79.806106 loss=2.132497 Epoch[148] Batch [0049]/[3759] Speed: 41.646249 samples/sec accuracy=61.093750 loss=1.620727 lr=0.022123 Epoch[148] Batch [0099]/[3759] Speed: 59.261325 samples/sec accuracy=60.578125 loss=1.622484 lr=0.022111 Epoch[148] Batch [0149]/[3759] Speed: 61.027580 samples/sec accuracy=60.572917 loss=1.616514 lr=0.022100 Epoch[148] Batch [0199]/[3759] Speed: 60.760285 samples/sec accuracy=60.320312 loss=1.620180 lr=0.022089 Epoch[148] Batch [0249]/[3759] Speed: 61.394916 samples/sec accuracy=60.137500 loss=1.635917 lr=0.022077 Epoch[148] Batch [0299]/[3759] Speed: 59.518845 samples/sec accuracy=60.151042 loss=1.629635 lr=0.022066 Epoch[148] Batch 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accuracy=59.828125 loss=1.657555 lr=0.021952 Epoch[148] Batch [0849]/[3759] Speed: 62.846298 samples/sec accuracy=59.777574 loss=1.661255 lr=0.021941 Epoch[148] Batch [0899]/[3759] Speed: 60.976566 samples/sec accuracy=59.784722 loss=1.658770 lr=0.021930 Epoch[148] Batch [0949]/[3759] Speed: 62.960618 samples/sec accuracy=59.800987 loss=1.659373 lr=0.021918 Epoch[148] Batch [0999]/[3759] Speed: 61.187999 samples/sec accuracy=59.776562 loss=1.658907 lr=0.021907 Epoch[148] Batch [1049]/[3759] Speed: 61.740924 samples/sec accuracy=59.827381 loss=1.659366 lr=0.021896 Epoch[148] Batch [1099]/[3759] Speed: 61.117079 samples/sec accuracy=59.893466 loss=1.658332 lr=0.021884 Epoch[148] Batch [1149]/[3759] Speed: 61.982143 samples/sec accuracy=59.914402 loss=1.658164 lr=0.021873 Epoch[148] Batch [1199]/[3759] Speed: 60.668806 samples/sec accuracy=59.960938 loss=1.655892 lr=0.021862 Epoch[148] Batch [1249]/[3759] Speed: 61.479865 samples/sec accuracy=60.011250 loss=1.654650 lr=0.021850 Epoch[148] 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accuracy=59.770536 loss=1.662141 lr=0.021737 Epoch[148] Batch [1799]/[3759] Speed: 62.497091 samples/sec accuracy=59.734375 loss=1.663407 lr=0.021726 Epoch[148] Batch [1849]/[3759] Speed: 62.298138 samples/sec accuracy=59.755912 loss=1.663186 lr=0.021715 Epoch[148] Batch [1899]/[3759] Speed: 62.316863 samples/sec accuracy=59.753289 loss=1.663828 lr=0.021703 Epoch[148] Batch [1949]/[3759] Speed: 60.658038 samples/sec accuracy=59.757212 loss=1.664537 lr=0.021692 Epoch[148] Batch [1999]/[3759] Speed: 63.239479 samples/sec accuracy=59.727344 loss=1.665008 lr=0.021681 Epoch[148] Batch [2049]/[3759] Speed: 62.158307 samples/sec accuracy=59.733232 loss=1.665742 lr=0.021669 Epoch[148] Batch [2099]/[3759] Speed: 62.397562 samples/sec accuracy=59.715030 loss=1.666468 lr=0.021658 Epoch[148] Batch [2149]/[3759] Speed: 62.067862 samples/sec accuracy=59.710756 loss=1.667732 lr=0.021647 Epoch[148] Batch [2199]/[3759] Speed: 61.612892 samples/sec accuracy=59.676847 loss=1.669292 lr=0.021636 Epoch[148] 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accuracy=59.598380 loss=1.672290 lr=0.021523 Epoch[148] Batch [2749]/[3759] Speed: 62.025498 samples/sec accuracy=59.600568 loss=1.671986 lr=0.021512 Epoch[148] Batch [2799]/[3759] Speed: 62.292846 samples/sec accuracy=59.590960 loss=1.672330 lr=0.021500 Epoch[148] Batch [2849]/[3759] Speed: 62.035770 samples/sec accuracy=59.574013 loss=1.672837 lr=0.021489 Epoch[148] Batch [2899]/[3759] Speed: 60.976016 samples/sec accuracy=59.580819 loss=1.672646 lr=0.021478 Epoch[148] Batch [2949]/[3759] Speed: 63.018536 samples/sec accuracy=59.584746 loss=1.672791 lr=0.021467 Epoch[148] Batch [2999]/[3759] Speed: 61.609030 samples/sec accuracy=59.593229 loss=1.673052 lr=0.021455 Epoch[148] Batch [3049]/[3759] Speed: 62.087963 samples/sec accuracy=59.583504 loss=1.673483 lr=0.021444 Epoch[148] Batch [3099]/[3759] Speed: 61.673648 samples/sec accuracy=59.576109 loss=1.674285 lr=0.021433 Epoch[148] Batch [3149]/[3759] Speed: 61.573234 samples/sec accuracy=59.583333 loss=1.674330 lr=0.021422 Epoch[148] Batch [3199]/[3759] Speed: 60.851661 samples/sec accuracy=59.584961 loss=1.674409 lr=0.021411 Epoch[148] Batch [3249]/[3759] Speed: 62.447857 samples/sec accuracy=59.594231 loss=1.674722 lr=0.021399 Epoch[148] Batch [3299]/[3759] Speed: 61.203058 samples/sec accuracy=59.599905 loss=1.674299 lr=0.021388 Epoch[148] Batch [3349]/[3759] Speed: 62.406245 samples/sec accuracy=59.583022 loss=1.675165 lr=0.021377 Epoch[148] Batch [3399]/[3759] Speed: 60.822031 samples/sec accuracy=59.562040 loss=1.675549 lr=0.021366 Epoch[148] Batch [3449]/[3759] Speed: 62.244534 samples/sec accuracy=59.552989 loss=1.676018 lr=0.021354 Epoch[148] Batch [3499]/[3759] Speed: 61.924923 samples/sec accuracy=59.544196 loss=1.676457 lr=0.021343 Epoch[148] Batch [3549]/[3759] Speed: 62.282120 samples/sec accuracy=59.551937 loss=1.676086 lr=0.021332 Epoch[148] Batch [3599]/[3759] Speed: 60.657310 samples/sec accuracy=59.546007 loss=1.676650 lr=0.021321 Epoch[148] Batch [3649]/[3759] Speed: 62.805652 samples/sec accuracy=59.534247 loss=1.677391 lr=0.021310 Epoch[148] Batch [3699]/[3759] Speed: 62.757650 samples/sec accuracy=59.526182 loss=1.677674 lr=0.021298 Epoch[148] Batch [3749]/[3759] Speed: 67.920008 samples/sec accuracy=59.485833 loss=1.679310 lr=0.021287 Batch [0049]/[0303]: acc-top1=57.687500 acc-top5=80.375000 Batch [0099]/[0303]: acc-top1=57.921875 acc-top5=81.031250 Batch [0149]/[0303]: acc-top1=57.677083 acc-top5=81.093750 Batch [0199]/[0303]: acc-top1=58.015625 acc-top5=81.304688 Batch [0249]/[0303]: acc-top1=57.887500 acc-top5=81.331250 Batch [0299]/[0303]: acc-top1=58.140625 acc-top5=81.598958 [Epoch 148] training: accuracy=59.484321 loss=1.679419 [Epoch 148] speed: 61 samples/sec time cost: 4207.151332 [Epoch 148] validation: acc-top1=58.085809 acc-top5=81.574876 loss=1.959573 Epoch[149] Batch [0049]/[3760] Speed: 41.009206 samples/sec accuracy=62.312500 loss=1.582859 lr=0.021274 Epoch[149] Batch [0099]/[3760] Speed: 59.156486 samples/sec accuracy=60.843750 loss=1.611867 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[0299]/[0303]: acc-top1=58.557292 acc-top5=81.994792 [Epoch 149] training: accuracy=59.854139 loss=1.660024 [Epoch 149] speed: 61 samples/sec time cost: 4196.381755 [Epoch 149] validation: acc-top1=58.488036 acc-top5=81.925536 loss=1.901681 Epoch[150] Batch [0049]/[3760] Speed: 41.267409 samples/sec accuracy=61.812500 loss=1.582537 lr=0.020437 Epoch[150] Batch [0099]/[3760] Speed: 58.240230 samples/sec accuracy=61.500000 loss=1.594107 lr=0.020426 Epoch[150] Batch [0149]/[3760] Speed: 61.997517 samples/sec accuracy=60.541667 loss=1.627401 lr=0.020415 Epoch[150] Batch [0199]/[3760] Speed: 60.260012 samples/sec accuracy=60.867188 loss=1.607262 lr=0.020404 Epoch[150] Batch [0249]/[3760] Speed: 61.482968 samples/sec accuracy=60.862500 loss=1.606231 lr=0.020393 Epoch[150] Batch [0299]/[3760] Speed: 60.326252 samples/sec accuracy=60.953125 loss=1.600973 lr=0.020382 Epoch[150] Batch [0349]/[3760] Speed: 61.081102 samples/sec accuracy=60.794643 loss=1.608010 lr=0.020371 Epoch[150] Batch 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accuracy=60.773897 loss=1.619944 lr=0.020261 Epoch[150] Batch [0899]/[3760] Speed: 61.932604 samples/sec accuracy=60.750000 loss=1.621084 lr=0.020250 Epoch[150] Batch [0949]/[3760] Speed: 62.166601 samples/sec accuracy=60.697368 loss=1.621176 lr=0.020239 Epoch[150] Batch [0999]/[3760] Speed: 62.179425 samples/sec accuracy=60.792187 loss=1.616161 lr=0.020228 Epoch[150] Batch [1049]/[3760] Speed: 62.290461 samples/sec accuracy=60.796131 loss=1.617011 lr=0.020217 Epoch[150] Batch [1099]/[3760] Speed: 61.329726 samples/sec accuracy=60.779830 loss=1.618337 lr=0.020206 Epoch[150] Batch [1149]/[3760] Speed: 62.165499 samples/sec accuracy=60.775815 loss=1.618058 lr=0.020195 Epoch[150] Batch [1199]/[3760] Speed: 62.203411 samples/sec accuracy=60.765625 loss=1.620191 lr=0.020184 Epoch[150] Batch [1249]/[3760] Speed: 62.216228 samples/sec accuracy=60.747500 loss=1.620343 lr=0.020173 Epoch[150] Batch [1299]/[3760] Speed: 60.916740 samples/sec accuracy=60.698317 loss=1.624254 lr=0.020162 Epoch[150] 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accuracy=60.535590 loss=1.631835 lr=0.020053 Epoch[150] Batch [1849]/[3760] Speed: 62.308185 samples/sec accuracy=60.519426 loss=1.633000 lr=0.020042 Epoch[150] Batch [1899]/[3760] Speed: 62.157730 samples/sec accuracy=60.480263 loss=1.633650 lr=0.020031 Epoch[150] Batch [1949]/[3760] Speed: 62.249233 samples/sec accuracy=60.460737 loss=1.634447 lr=0.020020 Epoch[150] Batch [1999]/[3760] Speed: 62.609969 samples/sec accuracy=60.448437 loss=1.634526 lr=0.020009 Epoch[150] Batch [2049]/[3760] Speed: 62.214335 samples/sec accuracy=60.450457 loss=1.634915 lr=0.019998 Epoch[150] Batch [2099]/[3760] Speed: 61.907036 samples/sec accuracy=60.444196 loss=1.635599 lr=0.019987 Epoch[150] Batch [2149]/[3760] Speed: 61.956267 samples/sec accuracy=60.436773 loss=1.636421 lr=0.019976 Epoch[150] Batch [2199]/[3760] Speed: 62.615004 samples/sec accuracy=60.463068 loss=1.635363 lr=0.019965 Epoch[150] Batch [2249]/[3760] Speed: 61.241179 samples/sec accuracy=60.445833 loss=1.636733 lr=0.019954 Epoch[150] 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accuracy=60.387500 loss=1.639726 lr=0.019845 Epoch[150] Batch [2799]/[3760] Speed: 61.515781 samples/sec accuracy=60.387277 loss=1.639382 lr=0.019834 Epoch[150] Batch [2849]/[3760] Speed: 62.163409 samples/sec accuracy=60.379934 loss=1.639920 lr=0.019823 Epoch[150] Batch [2899]/[3760] Speed: 61.675219 samples/sec accuracy=60.360453 loss=1.641079 lr=0.019812 Epoch[150] Batch [2949]/[3760] Speed: 62.730002 samples/sec accuracy=60.335805 loss=1.641469 lr=0.019801 Epoch[150] Batch [2999]/[3760] Speed: 61.179189 samples/sec accuracy=60.345833 loss=1.640952 lr=0.019790 Epoch[150] Batch [3049]/[3760] Speed: 62.531455 samples/sec accuracy=60.328381 loss=1.642116 lr=0.019780 Epoch[150] Batch [3099]/[3760] Speed: 61.650750 samples/sec accuracy=60.313004 loss=1.642206 lr=0.019769 Epoch[150] Batch [3149]/[3760] Speed: 62.637056 samples/sec accuracy=60.325397 loss=1.642294 lr=0.019758 Epoch[150] Batch [3199]/[3760] Speed: 61.831970 samples/sec accuracy=60.332520 loss=1.642009 lr=0.019747 Epoch[150] Batch [3249]/[3760] Speed: 62.127221 samples/sec accuracy=60.309135 loss=1.642419 lr=0.019736 Epoch[150] Batch [3299]/[3760] Speed: 61.564554 samples/sec accuracy=60.311080 loss=1.642882 lr=0.019725 Epoch[150] Batch [3349]/[3760] Speed: 62.722025 samples/sec accuracy=60.299440 loss=1.643150 lr=0.019714 Epoch[150] Batch [3399]/[3760] Speed: 61.683469 samples/sec accuracy=60.297794 loss=1.643471 lr=0.019703 Epoch[150] Batch [3449]/[3760] Speed: 61.092627 samples/sec accuracy=60.290308 loss=1.643992 lr=0.019692 Epoch[150] Batch [3499]/[3760] Speed: 62.444761 samples/sec accuracy=60.277232 loss=1.644175 lr=0.019682 Epoch[150] Batch [3549]/[3760] Speed: 62.314894 samples/sec accuracy=60.277729 loss=1.644041 lr=0.019671 Epoch[150] Batch [3599]/[3760] Speed: 62.207522 samples/sec accuracy=60.262153 loss=1.644907 lr=0.019660 Epoch[150] Batch [3649]/[3760] Speed: 62.274526 samples/sec accuracy=60.272260 loss=1.644713 lr=0.019649 Epoch[150] Batch [3699]/[3760] Speed: 61.228849 samples/sec accuracy=60.267314 loss=1.645183 lr=0.019638 Epoch[150] Batch [3749]/[3760] Speed: 67.230665 samples/sec accuracy=60.249167 loss=1.646195 lr=0.019627 Batch [0049]/[0303]: acc-top1=58.312500 acc-top5=82.156250 Batch [0099]/[0303]: acc-top1=59.437500 acc-top5=82.453125 Batch [0149]/[0303]: acc-top1=59.041667 acc-top5=81.875000 Batch [0199]/[0303]: acc-top1=59.375000 acc-top5=82.000000 Batch [0249]/[0303]: acc-top1=59.056250 acc-top5=81.962500 Batch [0299]/[0303]: acc-top1=59.130208 acc-top5=82.098958 [Epoch 150] training: accuracy=60.246011 loss=1.646361 [Epoch 150] speed: 61 samples/sec time cost: 4200.815134 [Epoch 150] validation: acc-top1=59.075908 acc-top5=82.044142 loss=1.897825 Epoch[151] Batch [0049]/[3759] Speed: 40.723055 samples/sec accuracy=61.750000 loss=1.599820 lr=0.019614 Epoch[151] Batch [0099]/[3759] Speed: 60.077120 samples/sec accuracy=61.937500 loss=1.601739 lr=0.019603 Epoch[151] Batch [0149]/[3759] Speed: 60.318491 samples/sec accuracy=61.541667 loss=1.606982 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lr=0.018977 Epoch[151] Batch [3049]/[3759] Speed: 62.194327 samples/sec accuracy=60.845799 loss=1.621256 lr=0.018967 Epoch[151] Batch [3099]/[3759] Speed: 61.970374 samples/sec accuracy=60.828125 loss=1.621684 lr=0.018956 Epoch[151] Batch [3149]/[3759] Speed: 62.151417 samples/sec accuracy=60.832837 loss=1.621601 lr=0.018945 Epoch[151] Batch [3199]/[3759] Speed: 61.436526 samples/sec accuracy=60.816895 loss=1.622431 lr=0.018935 Epoch[151] Batch [3249]/[3759] Speed: 62.248899 samples/sec accuracy=60.801442 loss=1.622868 lr=0.018924 Epoch[151] Batch [3299]/[3759] Speed: 62.013747 samples/sec accuracy=60.781250 loss=1.623445 lr=0.018913 Epoch[151] Batch [3349]/[3759] Speed: 61.494341 samples/sec accuracy=60.772388 loss=1.624015 lr=0.018902 Epoch[151] Batch [3399]/[3759] Speed: 62.457628 samples/sec accuracy=60.766085 loss=1.623681 lr=0.018892 Epoch[151] Batch [3449]/[3759] Speed: 61.163392 samples/sec accuracy=60.764493 loss=1.623525 lr=0.018881 Epoch[151] Batch [3499]/[3759] Speed: 62.623545 samples/sec accuracy=60.748214 loss=1.623973 lr=0.018870 Epoch[151] Batch [3549]/[3759] Speed: 62.199203 samples/sec accuracy=60.726232 loss=1.625184 lr=0.018860 Epoch[151] Batch [3599]/[3759] Speed: 62.377661 samples/sec accuracy=60.721788 loss=1.626040 lr=0.018849 Epoch[151] Batch [3649]/[3759] Speed: 61.581206 samples/sec accuracy=60.721318 loss=1.626156 lr=0.018838 Epoch[151] Batch [3699]/[3759] Speed: 61.219362 samples/sec accuracy=60.717483 loss=1.626201 lr=0.018828 Epoch[151] Batch [3749]/[3759] Speed: 67.811641 samples/sec accuracy=60.717917 loss=1.626166 lr=0.018817 Batch [0049]/[0303]: acc-top1=58.875000 acc-top5=81.625000 Batch [0099]/[0303]: acc-top1=58.796875 acc-top5=82.156250 Batch [0149]/[0303]: acc-top1=58.479167 acc-top5=81.937500 Batch [0199]/[0303]: acc-top1=58.921875 acc-top5=81.968750 Batch [0249]/[0303]: acc-top1=58.750000 acc-top5=81.843750 Batch [0299]/[0303]: acc-top1=58.885417 acc-top5=82.114583 [Epoch 151] training: accuracy=60.718858 loss=1.626153 [Epoch 151] speed: 61 samples/sec time cost: 4226.998385 [Epoch 151] validation: acc-top1=58.843853 acc-top5=82.095710 loss=1.916441 Epoch[152] Batch [0049]/[3760] Speed: 41.027350 samples/sec accuracy=62.437500 loss=1.571463 lr=0.018804 Epoch[152] Batch [0099]/[3760] Speed: 60.271422 samples/sec accuracy=62.171875 loss=1.557442 lr=0.018794 Epoch[152] Batch [0149]/[3760] Speed: 61.023593 samples/sec accuracy=61.677083 loss=1.580767 lr=0.018783 Epoch[152] Batch [0199]/[3760] Speed: 59.720881 samples/sec accuracy=61.742188 loss=1.575451 lr=0.018772 Epoch[152] Batch [0249]/[3760] Speed: 61.953651 samples/sec accuracy=61.518750 loss=1.583301 lr=0.018762 Epoch[152] Batch [0299]/[3760] Speed: 60.406237 samples/sec accuracy=61.562500 loss=1.579876 lr=0.018751 Epoch[152] Batch [0349]/[3760] Speed: 62.036246 samples/sec accuracy=61.433036 loss=1.585041 lr=0.018740 Epoch[152] Batch [0399]/[3760] Speed: 60.551807 samples/sec accuracy=61.406250 loss=1.585826 lr=0.018730 Epoch[152] Batch 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accuracy=61.517361 loss=1.577162 lr=0.018623 Epoch[152] Batch [0949]/[3760] Speed: 62.456997 samples/sec accuracy=61.472039 loss=1.578823 lr=0.018612 Epoch[152] Batch [0999]/[3760] Speed: 61.491247 samples/sec accuracy=61.390625 loss=1.581976 lr=0.018602 Epoch[152] Batch [1049]/[3760] Speed: 61.421865 samples/sec accuracy=61.444940 loss=1.579730 lr=0.018591 Epoch[152] Batch [1099]/[3760] Speed: 61.842792 samples/sec accuracy=61.455966 loss=1.581389 lr=0.018581 Epoch[152] Batch [1149]/[3760] Speed: 60.686262 samples/sec accuracy=61.456522 loss=1.581940 lr=0.018570 Epoch[152] Batch [1199]/[3760] Speed: 62.003980 samples/sec accuracy=61.429688 loss=1.582649 lr=0.018559 Epoch[152] Batch [1249]/[3760] Speed: 62.126657 samples/sec accuracy=61.471250 loss=1.581955 lr=0.018549 Epoch[152] Batch [1299]/[3760] Speed: 62.046121 samples/sec accuracy=61.479567 loss=1.581349 lr=0.018538 Epoch[152] Batch [1349]/[3760] Speed: 62.192744 samples/sec accuracy=61.459491 loss=1.580919 lr=0.018527 Epoch[152] Batch [1399]/[3760] Speed: 61.147878 samples/sec accuracy=61.449777 loss=1.581679 lr=0.018517 Epoch[152] Batch [1449]/[3760] Speed: 61.957925 samples/sec accuracy=61.419181 loss=1.584072 lr=0.018506 Epoch[152] Batch [1499]/[3760] Speed: 61.970852 samples/sec accuracy=61.451042 loss=1.583295 lr=0.018496 Epoch[152] Batch [1549]/[3760] Speed: 61.599435 samples/sec accuracy=61.456653 loss=1.582857 lr=0.018485 Epoch[152] Batch [1599]/[3760] Speed: 62.104158 samples/sec accuracy=61.433594 loss=1.584565 lr=0.018474 Epoch[152] Batch [1649]/[3760] Speed: 60.538503 samples/sec accuracy=61.406250 loss=1.586128 lr=0.018464 Epoch[152] Batch [1699]/[3760] Speed: 62.259978 samples/sec accuracy=61.397978 loss=1.586305 lr=0.018453 Epoch[152] Batch [1749]/[3760] Speed: 61.656494 samples/sec accuracy=61.381250 loss=1.587917 lr=0.018443 Epoch[152] Batch [1799]/[3760] Speed: 62.473877 samples/sec accuracy=61.367188 loss=1.588738 lr=0.018432 Epoch[152] Batch [1849]/[3760] Speed: 60.911141 samples/sec accuracy=61.372466 loss=1.588094 lr=0.018421 Epoch[152] Batch [1899]/[3760] Speed: 61.647278 samples/sec accuracy=61.374178 loss=1.588456 lr=0.018411 Epoch[152] Batch [1949]/[3760] Speed: 61.631388 samples/sec accuracy=61.396635 loss=1.587028 lr=0.018400 Epoch[152] Batch [1999]/[3760] Speed: 62.743202 samples/sec accuracy=61.408594 loss=1.587914 lr=0.018390 Epoch[152] Batch [2049]/[3760] Speed: 61.226291 samples/sec accuracy=61.423780 loss=1.586969 lr=0.018379 Epoch[152] Batch [2099]/[3760] Speed: 62.442404 samples/sec accuracy=61.418155 loss=1.587391 lr=0.018368 Epoch[152] Batch [2149]/[3760] Speed: 60.980579 samples/sec accuracy=61.410610 loss=1.587600 lr=0.018358 Epoch[152] Batch [2199]/[3760] Speed: 62.520148 samples/sec accuracy=61.396307 loss=1.587826 lr=0.018347 Epoch[152] Batch [2249]/[3760] Speed: 61.798573 samples/sec accuracy=61.355556 loss=1.589310 lr=0.018337 Epoch[152] Batch [2299]/[3760] Speed: 62.579668 samples/sec accuracy=61.360734 loss=1.589916 lr=0.018326 Epoch[152] Batch [2349]/[3760] Speed: 60.466511 samples/sec accuracy=61.353059 loss=1.590506 lr=0.018316 Epoch[152] Batch [2399]/[3760] Speed: 63.387334 samples/sec accuracy=61.345052 loss=1.590534 lr=0.018305 Epoch[152] Batch [2449]/[3760] Speed: 62.177024 samples/sec accuracy=61.336097 loss=1.590809 lr=0.018294 Epoch[152] Batch [2499]/[3760] Speed: 62.277060 samples/sec accuracy=61.316875 loss=1.590905 lr=0.018284 Epoch[152] Batch [2549]/[3760] Speed: 62.207927 samples/sec accuracy=61.299632 loss=1.591402 lr=0.018273 Epoch[152] Batch [2599]/[3760] Speed: 60.923561 samples/sec accuracy=61.284856 loss=1.591721 lr=0.018263 Epoch[152] Batch [2649]/[3760] Speed: 62.470493 samples/sec accuracy=61.284788 loss=1.592802 lr=0.018252 Epoch[152] Batch [2699]/[3760] Speed: 62.376734 samples/sec accuracy=61.276042 loss=1.592737 lr=0.018242 Epoch[152] Batch [2749]/[3760] Speed: 61.985968 samples/sec accuracy=61.277273 loss=1.593288 lr=0.018231 Epoch[152] Batch [2799]/[3760] Speed: 62.141858 samples/sec accuracy=61.262835 loss=1.593845 lr=0.018220 Epoch[152] Batch [2849]/[3760] Speed: 61.691600 samples/sec accuracy=61.250548 loss=1.595236 lr=0.018210 Epoch[152] Batch [2899]/[3760] Speed: 61.887666 samples/sec accuracy=61.246767 loss=1.596150 lr=0.018199 Epoch[152] Batch [2949]/[3760] Speed: 62.570881 samples/sec accuracy=61.231992 loss=1.596877 lr=0.018189 Epoch[152] Batch [2999]/[3760] Speed: 61.951036 samples/sec accuracy=61.218229 loss=1.597253 lr=0.018178 Epoch[152] Batch [3049]/[3760] Speed: 62.371221 samples/sec accuracy=61.196209 loss=1.598082 lr=0.018168 Epoch[152] Batch [3099]/[3760] Speed: 61.791738 samples/sec accuracy=61.155746 loss=1.599519 lr=0.018157 Epoch[152] Batch [3149]/[3760] Speed: 62.247976 samples/sec accuracy=61.178075 loss=1.599154 lr=0.018147 Epoch[152] Batch [3199]/[3760] Speed: 61.823720 samples/sec accuracy=61.173340 loss=1.599575 lr=0.018136 Epoch[152] Batch [3249]/[3760] Speed: 61.994682 samples/sec accuracy=61.162019 loss=1.599964 lr=0.018126 Epoch[152] Batch [3299]/[3760] Speed: 61.605629 samples/sec accuracy=61.157670 loss=1.600628 lr=0.018115 Epoch[152] Batch [3349]/[3760] Speed: 61.540045 samples/sec accuracy=61.146922 loss=1.600404 lr=0.018105 Epoch[152] Batch [3399]/[3760] Speed: 62.830578 samples/sec accuracy=61.135570 loss=1.600636 lr=0.018094 Epoch[152] Batch [3449]/[3760] Speed: 61.700000 samples/sec accuracy=61.137228 loss=1.601098 lr=0.018084 Epoch[152] Batch [3499]/[3760] Speed: 62.325602 samples/sec accuracy=61.121429 loss=1.601916 lr=0.018073 Epoch[152] Batch [3549]/[3760] Speed: 61.902118 samples/sec accuracy=61.117518 loss=1.601828 lr=0.018063 Epoch[152] Batch [3599]/[3760] Speed: 61.469359 samples/sec accuracy=61.111979 loss=1.602204 lr=0.018052 Epoch[152] Batch [3649]/[3760] Speed: 61.385042 samples/sec accuracy=61.116438 loss=1.602409 lr=0.018042 Epoch[152] Batch [3699]/[3760] Speed: 62.772312 samples/sec accuracy=61.116976 loss=1.602281 lr=0.018031 Epoch[152] Batch [3749]/[3760] Speed: 67.104985 samples/sec accuracy=61.117500 loss=1.602291 lr=0.018021 Batch [0049]/[0303]: acc-top1=58.156250 acc-top5=81.468750 Batch [0099]/[0303]: acc-top1=58.859375 acc-top5=81.984375 Batch [0149]/[0303]: acc-top1=58.343750 acc-top5=82.083333 Batch [0199]/[0303]: acc-top1=58.765625 acc-top5=82.320312 Batch [0249]/[0303]: acc-top1=58.581250 acc-top5=82.087500 Batch [0299]/[0303]: acc-top1=58.822917 acc-top5=82.307292 [Epoch 152] training: accuracy=61.112866 loss=1.602577 [Epoch 152] speed: 61 samples/sec time cost: 4212.739208 [Epoch 152] validation: acc-top1=58.807756 acc-top5=82.260726 loss=1.963728 Epoch[153] Batch [0049]/[3760] Speed: 40.537752 samples/sec accuracy=62.062500 loss=1.567173 lr=0.018008 Epoch[153] Batch [0099]/[3760] Speed: 60.548870 samples/sec accuracy=62.031250 loss=1.562903 lr=0.017997 Epoch[153] Batch [0149]/[3760] Speed: 61.434083 samples/sec accuracy=62.062500 loss=1.569850 lr=0.017987 Epoch[153] Batch [0199]/[3760] Speed: 60.987854 samples/sec accuracy=62.406250 loss=1.557966 lr=0.017976 Epoch[153] Batch [0249]/[3760] Speed: 61.836521 samples/sec accuracy=62.487500 loss=1.550409 lr=0.017966 Epoch[153] Batch [0299]/[3760] Speed: 60.689744 samples/sec accuracy=62.500000 loss=1.552030 lr=0.017955 Epoch[153] Batch [0349]/[3760] Speed: 61.809491 samples/sec accuracy=62.357143 loss=1.555287 lr=0.017945 Epoch[153] Batch [0399]/[3760] Speed: 61.483111 samples/sec accuracy=62.246094 loss=1.556339 lr=0.017934 Epoch[153] Batch [0449]/[3760] Speed: 62.172307 samples/sec accuracy=62.003472 loss=1.566382 lr=0.017924 Epoch[153] Batch [0499]/[3760] Speed: 61.048750 samples/sec accuracy=61.887500 loss=1.576153 lr=0.017914 Epoch[153] Batch [0549]/[3760] Speed: 61.826962 samples/sec accuracy=62.005682 loss=1.570172 lr=0.017903 Epoch[153] Batch [0599]/[3760] Speed: 61.480426 samples/sec accuracy=62.020833 loss=1.572416 lr=0.017893 Epoch[153] Batch [0649]/[3760] Speed: 62.528758 samples/sec accuracy=61.959135 loss=1.574382 lr=0.017882 Epoch[153] Batch [0699]/[3760] Speed: 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lr=0.017778 Epoch[153] Batch [1199]/[3760] Speed: 62.474321 samples/sec accuracy=61.936198 loss=1.573487 lr=0.017767 Epoch[153] Batch [1249]/[3760] Speed: 60.584039 samples/sec accuracy=61.927500 loss=1.575050 lr=0.017757 Epoch[153] Batch [1299]/[3760] Speed: 63.277670 samples/sec accuracy=61.921875 loss=1.575604 lr=0.017746 Epoch[153] Batch [1349]/[3760] Speed: 62.384250 samples/sec accuracy=61.944444 loss=1.574026 lr=0.017736 Epoch[153] Batch [1399]/[3760] Speed: 62.622814 samples/sec accuracy=61.954241 loss=1.573379 lr=0.017725 Epoch[153] Batch [1449]/[3760] Speed: 62.241026 samples/sec accuracy=61.946121 loss=1.573141 lr=0.017715 Epoch[153] Batch [1499]/[3760] Speed: 61.245242 samples/sec accuracy=61.922917 loss=1.574657 lr=0.017704 Epoch[153] Batch [1549]/[3760] Speed: 63.000408 samples/sec accuracy=61.922379 loss=1.574069 lr=0.017694 Epoch[153] Batch [1599]/[3760] Speed: 62.140758 samples/sec accuracy=61.932617 loss=1.572014 lr=0.017684 Epoch[153] Batch [1649]/[3760] Speed: 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lr=0.017382 Epoch[153] Batch [3099]/[3760] Speed: 61.958190 samples/sec accuracy=61.697581 loss=1.581721 lr=0.017372 Epoch[153] Batch [3149]/[3760] Speed: 62.552895 samples/sec accuracy=61.675595 loss=1.582647 lr=0.017362 Epoch[153] Batch [3199]/[3760] Speed: 60.958452 samples/sec accuracy=61.675293 loss=1.583069 lr=0.017351 Epoch[153] Batch [3249]/[3760] Speed: 63.035733 samples/sec accuracy=61.661538 loss=1.583948 lr=0.017341 Epoch[153] Batch [3299]/[3760] Speed: 62.639386 samples/sec accuracy=61.630682 loss=1.584721 lr=0.017331 Epoch[153] Batch [3349]/[3760] Speed: 62.413716 samples/sec accuracy=61.605410 loss=1.585587 lr=0.017320 Epoch[153] Batch [3399]/[3760] Speed: 62.245293 samples/sec accuracy=61.590533 loss=1.586277 lr=0.017310 Epoch[153] Batch [3449]/[3760] Speed: 61.353034 samples/sec accuracy=61.571105 loss=1.586943 lr=0.017300 Epoch[153] Batch [3499]/[3760] Speed: 62.207221 samples/sec accuracy=61.568750 loss=1.586635 lr=0.017289 Epoch[153] Batch [3549]/[3760] Speed: 62.586839 samples/sec accuracy=61.563380 loss=1.586755 lr=0.017279 Epoch[153] Batch [3599]/[3760] Speed: 62.208693 samples/sec accuracy=61.562500 loss=1.586766 lr=0.017269 Epoch[153] Batch [3649]/[3760] Speed: 62.295728 samples/sec accuracy=61.563356 loss=1.586343 lr=0.017258 Epoch[153] Batch [3699]/[3760] Speed: 61.400965 samples/sec accuracy=61.549409 loss=1.586550 lr=0.017248 Epoch[153] Batch [3749]/[3760] Speed: 67.356142 samples/sec accuracy=61.536250 loss=1.587056 lr=0.017238 Batch [0049]/[0303]: acc-top1=59.187500 acc-top5=82.468750 Batch [0099]/[0303]: acc-top1=60.437500 acc-top5=82.796875 Batch [0149]/[0303]: acc-top1=59.791667 acc-top5=82.604167 Batch [0199]/[0303]: acc-top1=60.000000 acc-top5=82.882812 Batch [0249]/[0303]: acc-top1=59.556250 acc-top5=82.768750 Batch [0299]/[0303]: acc-top1=59.609375 acc-top5=82.906250 [Epoch 153] training: accuracy=61.537566 loss=1.586782 [Epoch 153] speed: 61 samples/sec time cost: 4189.370077 [Epoch 153] validation: acc-top1=59.565800 acc-top5=82.848597 loss=1.880295 Epoch[154] Batch [0049]/[3759] Speed: 41.808206 samples/sec accuracy=62.281250 loss=1.543356 lr=0.017225 Epoch[154] Batch [0099]/[3759] Speed: 59.952768 samples/sec accuracy=62.437500 loss=1.531673 lr=0.017215 Epoch[154] Batch [0149]/[3759] Speed: 61.154827 samples/sec accuracy=61.802083 loss=1.549507 lr=0.017205 Epoch[154] Batch [0199]/[3759] Speed: 59.807191 samples/sec accuracy=62.093750 loss=1.533695 lr=0.017194 Epoch[154] Batch [0249]/[3759] Speed: 61.485047 samples/sec accuracy=62.293750 loss=1.530919 lr=0.017184 Epoch[154] Batch [0299]/[3759] Speed: 60.971918 samples/sec accuracy=62.119792 loss=1.537687 lr=0.017174 Epoch[154] Batch [0349]/[3759] Speed: 61.948837 samples/sec accuracy=62.303571 loss=1.533998 lr=0.017164 Epoch[154] Batch [0399]/[3759] Speed: 61.165348 samples/sec accuracy=62.457031 loss=1.529184 lr=0.017153 Epoch[154] Batch [0449]/[3759] Speed: 61.727261 samples/sec accuracy=62.315972 loss=1.534309 lr=0.017143 Epoch[154] Batch 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accuracy=62.103618 loss=1.545831 lr=0.017040 Epoch[154] Batch [0999]/[3759] Speed: 60.940990 samples/sec accuracy=62.089063 loss=1.545045 lr=0.017030 Epoch[154] Batch [1049]/[3759] Speed: 62.330141 samples/sec accuracy=62.123512 loss=1.545676 lr=0.017020 Epoch[154] Batch [1099]/[3759] Speed: 61.603706 samples/sec accuracy=62.123580 loss=1.547272 lr=0.017009 Epoch[154] Batch [1149]/[3759] Speed: 61.648193 samples/sec accuracy=62.153533 loss=1.545653 lr=0.016999 Epoch[154] Batch [1199]/[3759] Speed: 62.165403 samples/sec accuracy=62.095052 loss=1.547499 lr=0.016989 Epoch[154] Batch [1249]/[3759] Speed: 62.689713 samples/sec accuracy=62.035000 loss=1.549184 lr=0.016979 Epoch[154] Batch [1299]/[3759] Speed: 61.836345 samples/sec accuracy=62.044471 loss=1.549542 lr=0.016968 Epoch[154] Batch [1349]/[3759] Speed: 62.256943 samples/sec accuracy=62.050926 loss=1.548779 lr=0.016958 Epoch[154] Batch [1399]/[3759] Speed: 61.413185 samples/sec accuracy=62.043527 loss=1.550567 lr=0.016948 Epoch[154] 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accuracy=62.031250 loss=1.557436 lr=0.016846 Epoch[154] Batch [1949]/[3759] Speed: 62.260183 samples/sec accuracy=62.060897 loss=1.557277 lr=0.016835 Epoch[154] Batch [1999]/[3759] Speed: 61.936046 samples/sec accuracy=62.013281 loss=1.559507 lr=0.016825 Epoch[154] Batch [2049]/[3759] Speed: 62.038786 samples/sec accuracy=62.027439 loss=1.559542 lr=0.016815 Epoch[154] Batch [2099]/[3759] Speed: 62.374072 samples/sec accuracy=62.013393 loss=1.559957 lr=0.016805 Epoch[154] Batch [2149]/[3759] Speed: 61.757437 samples/sec accuracy=62.002907 loss=1.560371 lr=0.016795 Epoch[154] Batch [2199]/[3759] Speed: 62.341494 samples/sec accuracy=61.995739 loss=1.559979 lr=0.016784 Epoch[154] Batch [2249]/[3759] Speed: 62.509269 samples/sec accuracy=61.977083 loss=1.560883 lr=0.016774 Epoch[154] Batch [2299]/[3759] Speed: 61.738962 samples/sec accuracy=61.973505 loss=1.560985 lr=0.016764 Epoch[154] Batch [2349]/[3759] Speed: 61.994746 samples/sec accuracy=61.978059 loss=1.561121 lr=0.016754 Epoch[154] 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accuracy=61.971491 loss=1.564479 lr=0.016652 Epoch[154] Batch [2899]/[3759] Speed: 62.716787 samples/sec accuracy=61.962823 loss=1.564648 lr=0.016642 Epoch[154] Batch [2949]/[3759] Speed: 62.732561 samples/sec accuracy=61.962394 loss=1.564842 lr=0.016632 Epoch[154] Batch [2999]/[3759] Speed: 61.752107 samples/sec accuracy=61.951042 loss=1.565105 lr=0.016621 Epoch[154] Batch [3049]/[3759] Speed: 62.615130 samples/sec accuracy=61.946209 loss=1.565181 lr=0.016611 Epoch[154] Batch [3099]/[3759] Speed: 60.379328 samples/sec accuracy=61.951109 loss=1.565143 lr=0.016601 Epoch[154] Batch [3149]/[3759] Speed: 62.952488 samples/sec accuracy=61.963790 loss=1.564912 lr=0.016591 Epoch[154] Batch [3199]/[3759] Speed: 62.190011 samples/sec accuracy=61.944336 loss=1.565570 lr=0.016581 Epoch[154] Batch [3249]/[3759] Speed: 62.798545 samples/sec accuracy=61.942788 loss=1.566153 lr=0.016571 Epoch[154] Batch [3299]/[3759] Speed: 61.789066 samples/sec accuracy=61.930398 loss=1.566884 lr=0.016560 Epoch[154] Batch [3349]/[3759] Speed: 61.213942 samples/sec accuracy=61.933769 loss=1.566776 lr=0.016550 Epoch[154] Batch [3399]/[3759] Speed: 62.466469 samples/sec accuracy=61.926471 loss=1.566827 lr=0.016540 Epoch[154] Batch [3449]/[3759] Speed: 62.589933 samples/sec accuracy=61.923913 loss=1.567237 lr=0.016530 Epoch[154] Batch [3499]/[3759] Speed: 61.594969 samples/sec accuracy=61.925446 loss=1.567461 lr=0.016520 Epoch[154] Batch [3549]/[3759] Speed: 62.153856 samples/sec accuracy=61.919894 loss=1.568186 lr=0.016510 Epoch[154] Batch [3599]/[3759] Speed: 61.489692 samples/sec accuracy=61.910156 loss=1.568716 lr=0.016500 Epoch[154] Batch [3649]/[3759] Speed: 62.327980 samples/sec accuracy=61.905394 loss=1.568927 lr=0.016490 Epoch[154] Batch [3699]/[3759] Speed: 62.703441 samples/sec accuracy=61.894848 loss=1.569237 lr=0.016479 Epoch[154] Batch [3749]/[3759] Speed: 67.646177 samples/sec accuracy=61.894167 loss=1.569368 lr=0.016469 Batch [0049]/[0303]: acc-top1=59.625000 acc-top5=82.875000 Batch [0099]/[0303]: acc-top1=60.562500 acc-top5=83.125000 Batch [0149]/[0303]: acc-top1=60.250000 acc-top5=82.958333 Batch [0199]/[0303]: acc-top1=60.562500 acc-top5=83.179688 Batch [0249]/[0303]: acc-top1=60.281250 acc-top5=83.056250 Batch [0299]/[0303]: acc-top1=60.479167 acc-top5=83.234375 [Epoch 154] training: accuracy=61.896033 loss=1.569261 [Epoch 154] speed: 61 samples/sec time cost: 4197.949315 [Epoch 154] validation: acc-top1=60.385726 acc-top5=83.163160 loss=1.856108 Epoch[155] Batch [0049]/[3760] Speed: 41.198820 samples/sec accuracy=64.562500 loss=1.464966 lr=0.016457 Epoch[155] Batch [0099]/[3760] Speed: 59.956949 samples/sec accuracy=64.093750 loss=1.476358 lr=0.016447 Epoch[155] Batch [0149]/[3760] Speed: 60.990945 samples/sec accuracy=63.583333 loss=1.498759 lr=0.016437 Epoch[155] Batch [0199]/[3760] Speed: 60.472881 samples/sec accuracy=63.609375 loss=1.493804 lr=0.016427 Epoch[155] Batch [0249]/[3760] Speed: 61.581071 samples/sec accuracy=63.525000 loss=1.499886 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lr=0.015845 Epoch[155] Batch [3149]/[3760] Speed: 62.381569 samples/sec accuracy=62.358135 loss=1.546847 lr=0.015835 Epoch[155] Batch [3199]/[3760] Speed: 61.474253 samples/sec accuracy=62.343262 loss=1.547915 lr=0.015825 Epoch[155] Batch [3249]/[3760] Speed: 62.010022 samples/sec accuracy=62.317308 loss=1.549037 lr=0.015815 Epoch[155] Batch [3299]/[3760] Speed: 62.368046 samples/sec accuracy=62.324811 loss=1.548850 lr=0.015805 Epoch[155] Batch [3349]/[3760] Speed: 62.063327 samples/sec accuracy=62.310634 loss=1.549789 lr=0.015795 Epoch[155] Batch [3399]/[3760] Speed: 62.062037 samples/sec accuracy=62.304688 loss=1.550075 lr=0.015785 Epoch[155] Batch [3449]/[3760] Speed: 61.613420 samples/sec accuracy=62.295743 loss=1.549925 lr=0.015775 Epoch[155] Batch [3499]/[3760] Speed: 62.128382 samples/sec accuracy=62.300446 loss=1.550172 lr=0.015765 Epoch[155] Batch [3549]/[3760] Speed: 62.411652 samples/sec accuracy=62.295335 loss=1.550041 lr=0.015755 Epoch[155] Batch [3599]/[3760] Speed: 62.188110 samples/sec accuracy=62.296441 loss=1.550026 lr=0.015745 Epoch[155] Batch [3649]/[3760] Speed: 62.345711 samples/sec accuracy=62.300942 loss=1.550172 lr=0.015735 Epoch[155] Batch [3699]/[3760] Speed: 61.316746 samples/sec accuracy=62.289274 loss=1.550666 lr=0.015725 Epoch[155] Batch [3749]/[3760] Speed: 67.176861 samples/sec accuracy=62.290833 loss=1.550124 lr=0.015715 Batch [0049]/[0303]: acc-top1=59.156250 acc-top5=82.562500 Batch [0099]/[0303]: acc-top1=59.890625 acc-top5=83.015625 Batch [0149]/[0303]: acc-top1=59.802083 acc-top5=83.010417 Batch [0199]/[0303]: acc-top1=60.164063 acc-top5=83.304688 Batch [0249]/[0303]: acc-top1=60.112500 acc-top5=83.100000 Batch [0299]/[0303]: acc-top1=60.390625 acc-top5=83.260417 [Epoch 155] training: accuracy=62.289312 loss=1.550156 [Epoch 155] speed: 61 samples/sec time cost: 4193.537648 [Epoch 155] validation: acc-top1=60.344472 acc-top5=83.219884 loss=1.883275 Epoch[156] Batch [0049]/[3760] Speed: 41.049243 samples/sec accuracy=63.312500 loss=1.481573 lr=0.015704 Epoch[156] Batch [0099]/[3760] Speed: 60.072804 samples/sec accuracy=63.906250 loss=1.462603 lr=0.015694 Epoch[156] Batch [0149]/[3760] Speed: 61.622039 samples/sec accuracy=63.833333 loss=1.479639 lr=0.015684 Epoch[156] Batch [0199]/[3760] Speed: 60.650937 samples/sec accuracy=63.734375 loss=1.485564 lr=0.015674 Epoch[156] Batch [0249]/[3760] Speed: 61.947814 samples/sec accuracy=63.475000 loss=1.488775 lr=0.015664 Epoch[156] Batch [0299]/[3760] Speed: 61.413267 samples/sec accuracy=63.562500 loss=1.489365 lr=0.015654 Epoch[156] Batch [0349]/[3760] Speed: 61.725655 samples/sec accuracy=63.540179 loss=1.490591 lr=0.015644 Epoch[156] Batch [0399]/[3760] Speed: 61.342510 samples/sec accuracy=63.695312 loss=1.485107 lr=0.015634 Epoch[156] Batch [0449]/[3760] Speed: 61.632481 samples/sec accuracy=63.739583 loss=1.484331 lr=0.015624 Epoch[156] Batch [0499]/[3760] Speed: 60.799649 samples/sec accuracy=63.712500 loss=1.486832 lr=0.015614 Epoch[156] 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accuracy=63.209375 loss=1.505925 lr=0.015515 Epoch[156] Batch [1049]/[3760] Speed: 62.086024 samples/sec accuracy=63.169643 loss=1.505336 lr=0.015506 Epoch[156] Batch [1099]/[3760] Speed: 61.872754 samples/sec accuracy=63.109375 loss=1.507797 lr=0.015496 Epoch[156] Batch [1149]/[3760] Speed: 62.261160 samples/sec accuracy=63.101902 loss=1.507835 lr=0.015486 Epoch[156] Batch [1199]/[3760] Speed: 61.479206 samples/sec accuracy=63.098958 loss=1.509662 lr=0.015476 Epoch[156] Batch [1249]/[3760] Speed: 62.053216 samples/sec accuracy=63.080000 loss=1.511038 lr=0.015466 Epoch[156] Batch [1299]/[3760] Speed: 62.283406 samples/sec accuracy=63.082933 loss=1.511477 lr=0.015456 Epoch[156] Batch [1349]/[3760] Speed: 62.182892 samples/sec accuracy=63.070602 loss=1.510755 lr=0.015446 Epoch[156] Batch [1399]/[3760] Speed: 62.463593 samples/sec accuracy=63.046875 loss=1.511286 lr=0.015436 Epoch[156] Batch [1449]/[3760] Speed: 61.623795 samples/sec accuracy=63.036638 loss=1.513000 lr=0.015427 Epoch[156] 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accuracy=62.977564 loss=1.517164 lr=0.015328 Epoch[156] Batch [1999]/[3760] Speed: 62.259929 samples/sec accuracy=62.961719 loss=1.517636 lr=0.015318 Epoch[156] Batch [2049]/[3760] Speed: 62.037395 samples/sec accuracy=62.972561 loss=1.517849 lr=0.015309 Epoch[156] Batch [2099]/[3760] Speed: 62.504101 samples/sec accuracy=62.949405 loss=1.517553 lr=0.015299 Epoch[156] Batch [2149]/[3760] Speed: 60.900131 samples/sec accuracy=62.930233 loss=1.517879 lr=0.015289 Epoch[156] Batch [2199]/[3760] Speed: 63.131476 samples/sec accuracy=62.906960 loss=1.520133 lr=0.015279 Epoch[156] Batch [2249]/[3760] Speed: 62.012379 samples/sec accuracy=62.915278 loss=1.520067 lr=0.015269 Epoch[156] Batch [2299]/[3760] Speed: 62.572014 samples/sec accuracy=62.908288 loss=1.519882 lr=0.015260 Epoch[156] Batch [2349]/[3760] Speed: 62.287744 samples/sec accuracy=62.872340 loss=1.521010 lr=0.015250 Epoch[156] Batch [2399]/[3760] Speed: 60.798046 samples/sec accuracy=62.871094 loss=1.521662 lr=0.015240 Epoch[156] 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accuracy=62.831897 loss=1.524648 lr=0.015142 Epoch[156] Batch [2949]/[3760] Speed: 62.930455 samples/sec accuracy=62.819915 loss=1.524848 lr=0.015132 Epoch[156] Batch [2999]/[3760] Speed: 62.196281 samples/sec accuracy=62.832813 loss=1.524818 lr=0.015122 Epoch[156] Batch [3049]/[3760] Speed: 62.566518 samples/sec accuracy=62.834016 loss=1.525400 lr=0.015113 Epoch[156] Batch [3099]/[3760] Speed: 62.194590 samples/sec accuracy=62.826613 loss=1.526575 lr=0.015103 Epoch[156] Batch [3149]/[3760] Speed: 61.242683 samples/sec accuracy=62.839286 loss=1.526119 lr=0.015093 Epoch[156] Batch [3199]/[3760] Speed: 62.691369 samples/sec accuracy=62.828613 loss=1.526305 lr=0.015083 Epoch[156] Batch [3249]/[3760] Speed: 62.457250 samples/sec accuracy=62.799038 loss=1.527118 lr=0.015074 Epoch[156] Batch [3299]/[3760] Speed: 62.392779 samples/sec accuracy=62.796402 loss=1.527387 lr=0.015064 Epoch[156] Batch [3349]/[3760] Speed: 61.847650 samples/sec accuracy=62.808302 loss=1.526500 lr=0.015054 Epoch[156] Batch [3399]/[3760] Speed: 61.663245 samples/sec accuracy=62.806985 loss=1.526918 lr=0.015044 Epoch[156] Batch [3449]/[3760] Speed: 62.517803 samples/sec accuracy=62.789402 loss=1.527529 lr=0.015035 Epoch[156] Batch [3499]/[3760] Speed: 62.538488 samples/sec accuracy=62.773214 loss=1.528329 lr=0.015025 Epoch[156] Batch [3549]/[3760] Speed: 62.656856 samples/sec accuracy=62.749560 loss=1.529092 lr=0.015015 Epoch[156] Batch [3599]/[3760] Speed: 62.194215 samples/sec accuracy=62.755642 loss=1.528940 lr=0.015005 Epoch[156] Batch [3649]/[3760] Speed: 61.442399 samples/sec accuracy=62.745719 loss=1.530037 lr=0.014996 Epoch[156] Batch [3699]/[3760] Speed: 62.629162 samples/sec accuracy=62.743666 loss=1.530764 lr=0.014986 Epoch[156] Batch [3749]/[3760] Speed: 66.976909 samples/sec accuracy=62.731667 loss=1.531405 lr=0.014976 Batch [0049]/[0303]: acc-top1=60.375000 acc-top5=82.906250 Batch [0099]/[0303]: acc-top1=60.718750 acc-top5=83.546875 Batch [0149]/[0303]: acc-top1=60.385417 acc-top5=83.177083 Batch [0199]/[0303]: acc-top1=60.609375 acc-top5=83.226562 Batch [0249]/[0303]: acc-top1=60.562500 acc-top5=83.200000 Batch [0299]/[0303]: acc-top1=60.791667 acc-top5=83.468750 [Epoch 156] training: accuracy=62.723155 loss=1.531640 [Epoch 156] speed: 61 samples/sec time cost: 4191.709071 [Epoch 156] validation: acc-top1=60.746700 acc-top5=83.420998 loss=1.811681 Epoch[157] Batch [0049]/[3759] Speed: 41.313854 samples/sec accuracy=64.062500 loss=1.484790 lr=0.014965 Epoch[157] Batch [0099]/[3759] Speed: 60.452586 samples/sec accuracy=64.000000 loss=1.473725 lr=0.014955 Epoch[157] Batch [0149]/[3759] Speed: 61.058029 samples/sec accuracy=63.687500 loss=1.471634 lr=0.014945 Epoch[157] Batch [0199]/[3759] Speed: 60.665109 samples/sec accuracy=63.585938 loss=1.480469 lr=0.014935 Epoch[157] Batch [0249]/[3759] Speed: 61.584888 samples/sec accuracy=63.668750 loss=1.479283 lr=0.014926 Epoch[157] Batch [0299]/[3759] Speed: 61.031888 samples/sec accuracy=63.578125 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accuracy=63.523438 loss=1.495570 lr=0.014549 Epoch[157] Batch [2249]/[3759] Speed: 60.238459 samples/sec accuracy=63.492361 loss=1.496545 lr=0.014539 Epoch[157] Batch [2299]/[3759] Speed: 62.314957 samples/sec accuracy=63.462636 loss=1.497946 lr=0.014529 Epoch[157] Batch [2349]/[3759] Speed: 60.255344 samples/sec accuracy=63.448803 loss=1.498171 lr=0.014520 Epoch[157] Batch [2399]/[3759] Speed: 61.897514 samples/sec accuracy=63.463542 loss=1.497756 lr=0.014510 Epoch[157] Batch [2449]/[3759] Speed: 60.864485 samples/sec accuracy=63.478954 loss=1.497580 lr=0.014501 Epoch[157] Batch [2499]/[3759] Speed: 62.340117 samples/sec accuracy=63.466250 loss=1.498226 lr=0.014491 Epoch[157] Batch [2549]/[3759] Speed: 61.145358 samples/sec accuracy=63.458946 loss=1.498375 lr=0.014481 Epoch[157] Batch [2599]/[3759] Speed: 61.724157 samples/sec accuracy=63.473558 loss=1.498282 lr=0.014472 Epoch[157] Batch [2649]/[3759] Speed: 60.241360 samples/sec accuracy=63.444575 loss=1.499239 lr=0.014462 Epoch[157] 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accuracy=63.405754 loss=1.503233 lr=0.014367 Epoch[157] Batch [3199]/[3759] Speed: 62.127190 samples/sec accuracy=63.398926 loss=1.503822 lr=0.014357 Epoch[157] Batch [3249]/[3759] Speed: 62.463394 samples/sec accuracy=63.391827 loss=1.504174 lr=0.014347 Epoch[157] Batch [3299]/[3759] Speed: 62.130277 samples/sec accuracy=63.389205 loss=1.504179 lr=0.014338 Epoch[157] Batch [3349]/[3759] Speed: 62.356793 samples/sec accuracy=63.391791 loss=1.504246 lr=0.014328 Epoch[157] Batch [3399]/[3759] Speed: 61.483002 samples/sec accuracy=63.383732 loss=1.504506 lr=0.014319 Epoch[157] Batch [3449]/[3759] Speed: 62.488102 samples/sec accuracy=63.367301 loss=1.505607 lr=0.014309 Epoch[157] Batch [3499]/[3759] Speed: 61.928275 samples/sec accuracy=63.351786 loss=1.506431 lr=0.014300 Epoch[157] Batch [3549]/[3759] Speed: 62.689026 samples/sec accuracy=63.337588 loss=1.507745 lr=0.014290 Epoch[157] Batch [3599]/[3759] Speed: 62.405711 samples/sec accuracy=63.318142 loss=1.508596 lr=0.014281 Epoch[157] Batch [3649]/[3759] Speed: 61.805918 samples/sec accuracy=63.326199 loss=1.508730 lr=0.014271 Epoch[157] Batch [3699]/[3759] Speed: 61.913273 samples/sec accuracy=63.314189 loss=1.509203 lr=0.014262 Epoch[157] Batch [3749]/[3759] Speed: 67.677460 samples/sec accuracy=63.319167 loss=1.508959 lr=0.014252 Batch [0049]/[0303]: acc-top1=59.468750 acc-top5=82.781250 Batch [0099]/[0303]: acc-top1=61.218750 acc-top5=83.078125 Batch [0149]/[0303]: acc-top1=60.937500 acc-top5=83.010417 Batch [0199]/[0303]: acc-top1=61.414062 acc-top5=83.250000 Batch [0249]/[0303]: acc-top1=61.137500 acc-top5=83.093750 Batch [0299]/[0303]: acc-top1=61.244792 acc-top5=83.171875 [Epoch 157] training: accuracy=63.324687 loss=1.508854 [Epoch 157] speed: 61 samples/sec time cost: 4212.826624 [Epoch 157] validation: acc-top1=61.190182 acc-top5=83.111592 loss=1.857290 Epoch[158] Batch [0049]/[3760] Speed: 41.875718 samples/sec accuracy=62.656250 loss=1.530840 lr=0.014241 Epoch[158] Batch [0099]/[3760] Speed: 58.616748 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lr=0.014146 Epoch[158] Batch [0599]/[3760] Speed: 62.343703 samples/sec accuracy=63.997396 loss=1.476377 lr=0.014136 Epoch[158] Batch [0649]/[3760] Speed: 61.782122 samples/sec accuracy=64.004808 loss=1.475805 lr=0.014127 Epoch[158] Batch [0699]/[3760] Speed: 62.199928 samples/sec accuracy=63.979911 loss=1.477499 lr=0.014117 Epoch[158] Batch [0749]/[3760] Speed: 62.434432 samples/sec accuracy=64.045833 loss=1.475274 lr=0.014108 Epoch[158] Batch [0799]/[3760] Speed: 62.136136 samples/sec accuracy=64.125000 loss=1.470590 lr=0.014098 Epoch[158] Batch [0849]/[3760] Speed: 62.461680 samples/sec accuracy=64.123162 loss=1.472120 lr=0.014089 Epoch[158] Batch [0899]/[3760] Speed: 61.618363 samples/sec accuracy=64.126736 loss=1.473897 lr=0.014079 Epoch[158] Batch [0949]/[3760] Speed: 62.649194 samples/sec accuracy=64.092105 loss=1.474574 lr=0.014070 Epoch[158] Batch [0999]/[3760] Speed: 61.967413 samples/sec accuracy=64.084375 loss=1.477051 lr=0.014060 Epoch[158] Batch [1049]/[3760] Speed: 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lr=0.013787 Epoch[158] Batch [2499]/[3760] Speed: 61.560629 samples/sec accuracy=63.738125 loss=1.486916 lr=0.013777 Epoch[158] Batch [2549]/[3760] Speed: 61.886109 samples/sec accuracy=63.723652 loss=1.487383 lr=0.013768 Epoch[158] Batch [2599]/[3760] Speed: 61.915795 samples/sec accuracy=63.720553 loss=1.487211 lr=0.013759 Epoch[158] Batch [2649]/[3760] Speed: 61.577385 samples/sec accuracy=63.716981 loss=1.487209 lr=0.013749 Epoch[158] Batch [2699]/[3760] Speed: 61.923717 samples/sec accuracy=63.690394 loss=1.488009 lr=0.013740 Epoch[158] Batch [2749]/[3760] Speed: 60.442138 samples/sec accuracy=63.723295 loss=1.487450 lr=0.013730 Epoch[158] Batch [2799]/[3760] Speed: 62.159510 samples/sec accuracy=63.722098 loss=1.487535 lr=0.013721 Epoch[158] Batch [2849]/[3760] Speed: 61.989307 samples/sec accuracy=63.717654 loss=1.487622 lr=0.013712 Epoch[158] Batch [2899]/[3760] Speed: 61.665553 samples/sec accuracy=63.693966 loss=1.488617 lr=0.013702 Epoch[158] Batch [2949]/[3760] Speed: 62.101335 samples/sec accuracy=63.691208 loss=1.488294 lr=0.013693 Epoch[158] Batch [2999]/[3760] Speed: 61.267966 samples/sec accuracy=63.689063 loss=1.488092 lr=0.013684 Epoch[158] Batch [3049]/[3760] Speed: 62.054761 samples/sec accuracy=63.668545 loss=1.488698 lr=0.013674 Epoch[158] Batch [3099]/[3760] Speed: 61.740583 samples/sec accuracy=63.679435 loss=1.488476 lr=0.013665 Epoch[158] Batch [3149]/[3760] Speed: 62.130878 samples/sec accuracy=63.670635 loss=1.488345 lr=0.013655 Epoch[158] Batch [3199]/[3760] Speed: 61.618511 samples/sec accuracy=63.649414 loss=1.488634 lr=0.013646 Epoch[158] Batch [3249]/[3760] Speed: 61.015645 samples/sec accuracy=63.644231 loss=1.488413 lr=0.013637 Epoch[158] Batch [3299]/[3760] Speed: 62.364847 samples/sec accuracy=63.631155 loss=1.488954 lr=0.013627 Epoch[158] Batch [3349]/[3760] Speed: 62.783745 samples/sec accuracy=63.608209 loss=1.490031 lr=0.013618 Epoch[158] Batch [3399]/[3760] Speed: 61.945772 samples/sec accuracy=63.588695 loss=1.490583 lr=0.013609 Epoch[158] Batch [3449]/[3760] Speed: 62.718603 samples/sec accuracy=63.572917 loss=1.491421 lr=0.013599 Epoch[158] Batch [3499]/[3760] Speed: 62.133595 samples/sec accuracy=63.570089 loss=1.491684 lr=0.013590 Epoch[158] Batch [3549]/[3760] Speed: 61.672142 samples/sec accuracy=63.567342 loss=1.491812 lr=0.013581 Epoch[158] Batch [3599]/[3760] Speed: 61.971671 samples/sec accuracy=63.555556 loss=1.492503 lr=0.013571 Epoch[158] Batch [3649]/[3760] Speed: 62.831252 samples/sec accuracy=63.556935 loss=1.492560 lr=0.013562 Epoch[158] Batch [3699]/[3760] Speed: 62.395983 samples/sec accuracy=63.546875 loss=1.493077 lr=0.013553 Epoch[158] Batch [3749]/[3760] Speed: 67.312508 samples/sec accuracy=63.544167 loss=1.493051 lr=0.013543 Batch [0049]/[0303]: acc-top1=60.562500 acc-top5=83.937500 Batch [0099]/[0303]: acc-top1=61.343750 acc-top5=83.953125 Batch [0149]/[0303]: acc-top1=60.729167 acc-top5=83.489583 Batch [0199]/[0303]: acc-top1=61.187500 acc-top5=83.578125 Batch [0249]/[0303]: acc-top1=61.025000 acc-top5=83.562500 Batch [0299]/[0303]: acc-top1=61.260417 acc-top5=83.677083 [Epoch 158] training: accuracy=63.548870 loss=1.492946 [Epoch 158] speed: 61 samples/sec time cost: 4195.414944 [Epoch 158] validation: acc-top1=61.231436 acc-top5=83.653053 loss=1.807995 Epoch[159] Batch [0049]/[3760] Speed: 41.175432 samples/sec accuracy=64.843750 loss=1.446226 lr=0.013532 Epoch[159] Batch [0099]/[3760] Speed: 60.369113 samples/sec accuracy=64.843750 loss=1.427957 lr=0.013523 Epoch[159] Batch [0149]/[3760] Speed: 61.048481 samples/sec accuracy=64.833333 loss=1.430683 lr=0.013514 Epoch[159] Batch [0199]/[3760] Speed: 61.090747 samples/sec accuracy=64.640625 loss=1.435951 lr=0.013504 Epoch[159] Batch [0249]/[3760] Speed: 61.751436 samples/sec accuracy=64.375000 loss=1.435295 lr=0.013495 Epoch[159] Batch [0299]/[3760] Speed: 61.114111 samples/sec accuracy=64.223958 loss=1.450612 lr=0.013486 Epoch[159] Batch [0349]/[3760] Speed: 62.481573 samples/sec accuracy=64.267857 loss=1.449259 lr=0.013476 Epoch[159] Batch [0399]/[3760] Speed: 61.306861 samples/sec accuracy=64.187500 loss=1.453803 lr=0.013467 Epoch[159] Batch [0449]/[3760] Speed: 62.407257 samples/sec accuracy=64.288194 loss=1.450328 lr=0.013458 Epoch[159] Batch [0499]/[3760] Speed: 61.382234 samples/sec accuracy=64.406250 loss=1.449789 lr=0.013448 Epoch[159] Batch [0549]/[3760] Speed: 62.244120 samples/sec accuracy=64.448864 loss=1.448952 lr=0.013439 Epoch[159] Batch [0599]/[3760] Speed: 62.015292 samples/sec accuracy=64.377604 loss=1.452179 lr=0.013430 Epoch[159] Batch [0649]/[3760] Speed: 62.765468 samples/sec accuracy=64.286058 loss=1.455777 lr=0.013421 Epoch[159] Batch [0699]/[3760] Speed: 61.631635 samples/sec accuracy=64.216518 loss=1.459718 lr=0.013411 Epoch[159] Batch [0749]/[3760] Speed: 62.304682 samples/sec accuracy=64.254167 loss=1.461960 lr=0.013402 Epoch[159] Batch [0799]/[3760] Speed: 61.547426 samples/sec accuracy=64.287109 loss=1.461533 lr=0.013393 Epoch[159] 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accuracy=64.293269 loss=1.461991 lr=0.013300 Epoch[159] Batch [1349]/[3760] Speed: 61.880315 samples/sec accuracy=64.339120 loss=1.460948 lr=0.013291 Epoch[159] Batch [1399]/[3760] Speed: 62.193441 samples/sec accuracy=64.389509 loss=1.458912 lr=0.013282 Epoch[159] Batch [1449]/[3760] Speed: 62.098116 samples/sec accuracy=64.348060 loss=1.459526 lr=0.013272 Epoch[159] Batch [1499]/[3760] Speed: 61.980773 samples/sec accuracy=64.369792 loss=1.458759 lr=0.013263 Epoch[159] Batch [1549]/[3760] Speed: 61.833096 samples/sec accuracy=64.371976 loss=1.458283 lr=0.013254 Epoch[159] Batch [1599]/[3760] Speed: 61.735829 samples/sec accuracy=64.345703 loss=1.458824 lr=0.013245 Epoch[159] Batch [1649]/[3760] Speed: 62.704902 samples/sec accuracy=64.342803 loss=1.459509 lr=0.013235 Epoch[159] Batch [1699]/[3760] Speed: 62.209518 samples/sec accuracy=64.356618 loss=1.459451 lr=0.013226 Epoch[159] Batch [1749]/[3760] Speed: 62.081695 samples/sec accuracy=64.345536 loss=1.460160 lr=0.013217 Epoch[159] Batch [1799]/[3760] Speed: 61.225953 samples/sec accuracy=64.354167 loss=1.461362 lr=0.013208 Epoch[159] Batch [1849]/[3760] Speed: 62.110929 samples/sec accuracy=64.384291 loss=1.460317 lr=0.013198 Epoch[159] Batch [1899]/[3760] Speed: 62.156950 samples/sec accuracy=64.380757 loss=1.460871 lr=0.013189 Epoch[159] Batch [1949]/[3760] Speed: 62.246834 samples/sec accuracy=64.367788 loss=1.462450 lr=0.013180 Epoch[159] Batch [1999]/[3760] Speed: 61.707068 samples/sec accuracy=64.367969 loss=1.462617 lr=0.013171 Epoch[159] Batch [2049]/[3760] Speed: 62.099712 samples/sec accuracy=64.364329 loss=1.462368 lr=0.013162 Epoch[159] Batch [2099]/[3760] Speed: 62.180644 samples/sec accuracy=64.383185 loss=1.461788 lr=0.013152 Epoch[159] Batch [2149]/[3760] Speed: 62.255121 samples/sec accuracy=64.402616 loss=1.460543 lr=0.013143 Epoch[159] Batch [2199]/[3760] Speed: 62.173081 samples/sec accuracy=64.426136 loss=1.459544 lr=0.013134 Epoch[159] Batch [2249]/[3760] Speed: 62.476199 samples/sec accuracy=64.394444 loss=1.460884 lr=0.013125 Epoch[159] Batch [2299]/[3760] Speed: 61.340584 samples/sec accuracy=64.379755 loss=1.461793 lr=0.013116 Epoch[159] Batch [2349]/[3760] Speed: 61.612852 samples/sec accuracy=64.357048 loss=1.461794 lr=0.013106 Epoch[159] Batch [2399]/[3760] Speed: 62.448777 samples/sec accuracy=64.358073 loss=1.461690 lr=0.013097 Epoch[159] Batch [2449]/[3760] Speed: 62.067459 samples/sec accuracy=64.301658 loss=1.463401 lr=0.013088 Epoch[159] Batch [2499]/[3760] Speed: 62.224134 samples/sec accuracy=64.293750 loss=1.464404 lr=0.013079 Epoch[159] Batch [2549]/[3760] Speed: 61.670471 samples/sec accuracy=64.299020 loss=1.464580 lr=0.013070 Epoch[159] Batch [2599]/[3760] Speed: 62.691431 samples/sec accuracy=64.271635 loss=1.465293 lr=0.013060 Epoch[159] Batch [2649]/[3760] Speed: 62.263990 samples/sec accuracy=64.278302 loss=1.465467 lr=0.013051 Epoch[159] Batch [2699]/[3760] Speed: 62.509619 samples/sec accuracy=64.266204 loss=1.465993 lr=0.013042 Epoch[159] Batch [2749]/[3760] Speed: 63.056064 samples/sec accuracy=64.247727 loss=1.466898 lr=0.013033 Epoch[159] Batch [2799]/[3760] Speed: 61.410019 samples/sec accuracy=64.229911 loss=1.467250 lr=0.013024 Epoch[159] Batch [2849]/[3760] Speed: 62.374427 samples/sec accuracy=64.185855 loss=1.469015 lr=0.013015 Epoch[159] Batch [2899]/[3760] Speed: 62.167373 samples/sec accuracy=64.184267 loss=1.469471 lr=0.013005 Epoch[159] Batch [2949]/[3760] Speed: 62.386830 samples/sec accuracy=64.173199 loss=1.470058 lr=0.012996 Epoch[159] Batch [2999]/[3760] Speed: 62.623846 samples/sec accuracy=64.164583 loss=1.470058 lr=0.012987 Epoch[159] Batch [3049]/[3760] Speed: 62.093505 samples/sec accuracy=64.137807 loss=1.470737 lr=0.012978 Epoch[159] Batch [3099]/[3760] Speed: 62.683028 samples/sec accuracy=64.136089 loss=1.470972 lr=0.012969 Epoch[159] Batch [3149]/[3760] Speed: 62.353405 samples/sec accuracy=64.117560 loss=1.471646 lr=0.012960 Epoch[159] Batch [3199]/[3760] Speed: 62.374496 samples/sec accuracy=64.093750 loss=1.472599 lr=0.012951 Epoch[159] Batch [3249]/[3760] Speed: 62.455888 samples/sec accuracy=64.097115 loss=1.472659 lr=0.012941 Epoch[159] Batch [3299]/[3760] Speed: 61.404129 samples/sec accuracy=64.098958 loss=1.472851 lr=0.012932 Epoch[159] Batch [3349]/[3760] Speed: 62.573739 samples/sec accuracy=64.089552 loss=1.473957 lr=0.012923 Epoch[159] Batch [3399]/[3760] Speed: 62.382820 samples/sec accuracy=64.075368 loss=1.474109 lr=0.012914 Epoch[159] Batch [3449]/[3760] Speed: 62.707631 samples/sec accuracy=64.094656 loss=1.473408 lr=0.012905 Epoch[159] Batch [3499]/[3760] Speed: 62.410672 samples/sec accuracy=64.099107 loss=1.472978 lr=0.012896 Epoch[159] Batch [3549]/[3760] Speed: 61.813969 samples/sec accuracy=64.114437 loss=1.472465 lr=0.012887 Epoch[159] Batch [3599]/[3760] Speed: 62.555129 samples/sec accuracy=64.097656 loss=1.472970 lr=0.012877 Epoch[159] Batch [3649]/[3760] Speed: 62.639634 samples/sec accuracy=64.080479 loss=1.473144 lr=0.012868 Epoch[159] Batch [3699]/[3760] Speed: 62.284622 samples/sec accuracy=64.088682 loss=1.472667 lr=0.012859 Epoch[159] Batch [3749]/[3760] Speed: 67.310288 samples/sec accuracy=64.077500 loss=1.472948 lr=0.012850 Batch [0049]/[0303]: acc-top1=61.437500 acc-top5=82.843750 Batch [0099]/[0303]: acc-top1=61.218750 acc-top5=83.328125 Batch [0149]/[0303]: acc-top1=60.822917 acc-top5=83.250000 Batch [0199]/[0303]: acc-top1=61.085938 acc-top5=83.429688 Batch [0249]/[0303]: acc-top1=60.856250 acc-top5=83.250000 Batch [0299]/[0303]: acc-top1=61.062500 acc-top5=83.552083 [Epoch 159] training: accuracy=64.067902 loss=1.473185 [Epoch 159] speed: 61 samples/sec time cost: 4186.299868 [Epoch 159] validation: acc-top1=60.989068 acc-top5=83.524134 loss=1.818249 Epoch[160] Batch [0049]/[3759] Speed: 41.798473 samples/sec accuracy=65.625000 loss=1.438835 lr=0.012839 Epoch[160] Batch [0099]/[3759] Speed: 60.186860 samples/sec accuracy=65.937500 loss=1.407746 lr=0.012830 Epoch[160] Batch [0149]/[3759] Speed: 60.963599 samples/sec accuracy=65.614583 loss=1.416612 lr=0.012821 Epoch[160] Batch [0199]/[3759] Speed: 61.265019 samples/sec accuracy=65.125000 loss=1.432808 lr=0.012812 Epoch[160] Batch [0249]/[3759] Speed: 61.847632 samples/sec accuracy=65.156250 loss=1.438800 lr=0.012803 Epoch[160] Batch [0299]/[3759] Speed: 60.332421 samples/sec accuracy=65.031250 loss=1.440522 lr=0.012794 Epoch[160] Batch [0349]/[3759] Speed: 61.939261 samples/sec accuracy=65.035714 loss=1.441491 lr=0.012785 Epoch[160] Batch [0399]/[3759] Speed: 61.118074 samples/sec accuracy=65.113281 loss=1.432541 lr=0.012775 Epoch[160] Batch [0449]/[3759] Speed: 62.335573 samples/sec accuracy=65.256944 loss=1.427620 lr=0.012766 Epoch[160] Batch [0499]/[3759] Speed: 61.368147 samples/sec accuracy=65.071875 loss=1.438761 lr=0.012757 Epoch[160] Batch [0549]/[3759] Speed: 62.041855 samples/sec accuracy=65.096591 loss=1.431596 lr=0.012748 Epoch[160] Batch [0599]/[3759] Speed: 61.722659 samples/sec accuracy=65.125000 loss=1.430745 lr=0.012739 Epoch[160] Batch [0649]/[3759] Speed: 62.846204 samples/sec accuracy=65.173077 loss=1.431247 lr=0.012730 Epoch[160] Batch [0699]/[3759] Speed: 61.506417 samples/sec accuracy=65.200893 loss=1.430246 lr=0.012721 Epoch[160] Batch [0749]/[3759] Speed: 62.741261 samples/sec accuracy=65.077083 loss=1.435115 lr=0.012712 Epoch[160] Batch [0799]/[3759] Speed: 60.744218 samples/sec accuracy=65.119141 loss=1.433993 lr=0.012703 Epoch[160] Batch [0849]/[3759] Speed: 62.779570 samples/sec accuracy=65.152574 loss=1.434037 lr=0.012694 Epoch[160] Batch [0899]/[3759] Speed: 62.485544 samples/sec accuracy=65.204861 loss=1.431756 lr=0.012685 Epoch[160] Batch [0949]/[3759] Speed: 62.662983 samples/sec accuracy=65.166118 loss=1.433347 lr=0.012676 Epoch[160] Batch [0999]/[3759] Speed: 61.739745 samples/sec accuracy=65.167187 loss=1.432302 lr=0.012667 Epoch[160] Batch [1049]/[3759] Speed: 61.889786 samples/sec accuracy=65.202381 loss=1.432312 lr=0.012658 Epoch[160] Batch [1099]/[3759] Speed: 62.676335 samples/sec accuracy=65.213068 loss=1.432965 lr=0.012648 Epoch[160] Batch [1149]/[3759] Speed: 62.347025 samples/sec accuracy=65.202446 loss=1.433825 lr=0.012639 Epoch[160] Batch [1199]/[3759] Speed: 62.180306 samples/sec accuracy=65.143229 loss=1.436077 lr=0.012630 Epoch[160] Batch [1249]/[3759] Speed: 62.294138 samples/sec accuracy=65.146250 loss=1.435357 lr=0.012621 Epoch[160] Batch [1299]/[3759] Speed: 60.696072 samples/sec accuracy=65.126202 loss=1.435822 lr=0.012612 Epoch[160] Batch [1349]/[3759] Speed: 63.198760 samples/sec accuracy=65.098380 loss=1.437430 lr=0.012603 Epoch[160] Batch [1399]/[3759] Speed: 61.559546 samples/sec accuracy=65.120536 loss=1.436849 lr=0.012594 Epoch[160] Batch [1449]/[3759] Speed: 62.422677 samples/sec accuracy=65.073276 loss=1.438810 lr=0.012585 Epoch[160] Batch [1499]/[3759] Speed: 61.532332 samples/sec accuracy=65.002083 loss=1.442456 lr=0.012576 Epoch[160] Batch [1549]/[3759] Speed: 61.462219 samples/sec accuracy=64.993952 loss=1.443187 lr=0.012567 Epoch[160] Batch [1599]/[3759] Speed: 62.391495 samples/sec accuracy=65.013672 loss=1.443448 lr=0.012558 Epoch[160] Batch [1649]/[3759] Speed: 62.413389 samples/sec accuracy=65.035038 loss=1.441995 lr=0.012549 Epoch[160] Batch [1699]/[3759] Speed: 61.326402 samples/sec accuracy=65.031250 loss=1.441599 lr=0.012540 Epoch[160] Batch [1749]/[3759] Speed: 62.533337 samples/sec accuracy=64.991964 loss=1.443118 lr=0.012531 Epoch[160] Batch [1799]/[3759] Speed: 59.967238 samples/sec accuracy=65.001736 loss=1.443450 lr=0.012522 Epoch[160] Batch [1849]/[3759] Speed: 63.017618 samples/sec accuracy=65.000845 loss=1.442801 lr=0.012513 Epoch[160] Batch [1899]/[3759] Speed: 61.140210 samples/sec accuracy=64.976151 loss=1.443195 lr=0.012504 Epoch[160] Batch [1949]/[3759] Speed: 62.412356 samples/sec accuracy=65.001603 loss=1.442239 lr=0.012495 Epoch[160] Batch [1999]/[3759] Speed: 61.750330 samples/sec accuracy=65.009375 loss=1.442140 lr=0.012486 Epoch[160] Batch [2049]/[3759] Speed: 62.584983 samples/sec accuracy=64.993140 loss=1.442560 lr=0.012477 Epoch[160] Batch [2099]/[3759] Speed: 61.003889 samples/sec accuracy=64.978423 loss=1.441903 lr=0.012468 Epoch[160] Batch [2149]/[3759] Speed: 62.557139 samples/sec accuracy=64.950581 loss=1.442335 lr=0.012459 Epoch[160] Batch [2199]/[3759] Speed: 61.531654 samples/sec accuracy=64.942472 loss=1.442687 lr=0.012450 Epoch[160] Batch [2249]/[3759] Speed: 62.329517 samples/sec accuracy=64.930556 loss=1.442722 lr=0.012441 Epoch[160] Batch [2299]/[3759] Speed: 61.268462 samples/sec accuracy=64.904891 loss=1.443239 lr=0.012432 Epoch[160] Batch [2349]/[3759] Speed: 61.026716 samples/sec accuracy=64.875000 loss=1.444529 lr=0.012423 Epoch[160] Batch [2399]/[3759] Speed: 62.203264 samples/sec accuracy=64.871745 loss=1.444201 lr=0.012414 Epoch[160] Batch [2449]/[3759] Speed: 62.217716 samples/sec accuracy=64.822704 loss=1.445386 lr=0.012405 Epoch[160] Batch [2499]/[3759] Speed: 62.540098 samples/sec accuracy=64.800625 loss=1.446409 lr=0.012396 Epoch[160] Batch [2549]/[3759] Speed: 62.424676 samples/sec accuracy=64.792892 loss=1.446429 lr=0.012387 Epoch[160] Batch [2599]/[3759] Speed: 61.935868 samples/sec accuracy=64.795673 loss=1.446097 lr=0.012378 Epoch[160] Batch [2649]/[3759] Speed: 61.709839 samples/sec accuracy=64.797759 loss=1.445958 lr=0.012369 Epoch[160] Batch [2699]/[3759] Speed: 62.102552 samples/sec accuracy=64.768519 loss=1.447091 lr=0.012360 Epoch[160] Batch [2749]/[3759] Speed: 61.495710 samples/sec accuracy=64.736932 loss=1.448492 lr=0.012351 Epoch[160] Batch [2799]/[3759] Speed: 62.777073 samples/sec accuracy=64.766741 loss=1.447704 lr=0.012342 Epoch[160] Batch [2849]/[3759] Speed: 60.432881 samples/sec accuracy=64.753838 loss=1.448561 lr=0.012333 Epoch[160] Batch [2899]/[3759] Speed: 62.874165 samples/sec accuracy=64.752155 loss=1.448277 lr=0.012324 Epoch[160] Batch [2949]/[3759] Speed: 61.314265 samples/sec accuracy=64.734640 loss=1.448734 lr=0.012315 Epoch[160] Batch [2999]/[3759] Speed: 62.557780 samples/sec accuracy=64.706771 loss=1.449246 lr=0.012307 Epoch[160] Batch [3049]/[3759] Speed: 61.011373 samples/sec accuracy=64.710553 loss=1.449088 lr=0.012298 Epoch[160] Batch [3099]/[3759] Speed: 62.244302 samples/sec accuracy=64.708165 loss=1.449474 lr=0.012289 Epoch[160] Batch [3149]/[3759] Speed: 60.427485 samples/sec accuracy=64.690972 loss=1.450286 lr=0.012280 Epoch[160] Batch [3199]/[3759] Speed: 61.601401 samples/sec accuracy=64.688477 loss=1.450475 lr=0.012271 Epoch[160] Batch [3249]/[3759] Speed: 60.543153 samples/sec accuracy=64.680288 loss=1.450439 lr=0.012262 Epoch[160] Batch [3299]/[3759] Speed: 61.729778 samples/sec accuracy=64.671875 loss=1.450375 lr=0.012253 Epoch[160] Batch [3349]/[3759] Speed: 60.232861 samples/sec accuracy=64.667444 loss=1.450484 lr=0.012244 Epoch[160] Batch [3399]/[3759] Speed: 62.237598 samples/sec accuracy=64.653493 loss=1.450797 lr=0.012235 Epoch[160] Batch [3449]/[3759] Speed: 61.286114 samples/sec accuracy=64.649909 loss=1.450575 lr=0.012226 Epoch[160] Batch [3499]/[3759] Speed: 62.140751 samples/sec accuracy=64.635268 loss=1.451009 lr=0.012217 Epoch[160] Batch [3549]/[3759] Speed: 61.651217 samples/sec accuracy=64.639085 loss=1.451287 lr=0.012208 Epoch[160] Batch [3599]/[3759] Speed: 61.467613 samples/sec accuracy=64.625868 loss=1.451463 lr=0.012199 Epoch[160] Batch [3649]/[3759] Speed: 61.726011 samples/sec accuracy=64.604024 loss=1.452042 lr=0.012191 Epoch[160] Batch [3699]/[3759] Speed: 62.250525 samples/sec accuracy=64.594595 loss=1.452901 lr=0.012182 Epoch[160] Batch [3749]/[3759] Speed: 67.572420 samples/sec accuracy=64.605000 loss=1.452321 lr=0.012173 Batch [0049]/[0303]: acc-top1=61.843750 acc-top5=83.968750 Batch [0099]/[0303]: acc-top1=62.453125 acc-top5=84.343750 Batch [0149]/[0303]: acc-top1=61.958333 acc-top5=84.302083 Batch [0199]/[0303]: acc-top1=62.125000 acc-top5=84.218750 Batch [0249]/[0303]: acc-top1=61.862500 acc-top5=84.006250 Batch [0299]/[0303]: acc-top1=62.020833 acc-top5=84.208333 [Epoch 160] training: accuracy=64.597050 loss=1.452564 [Epoch 160] speed: 61 samples/sec time cost: 4202.776106 [Epoch 160] validation: acc-top1=61.979167 acc-top5=84.168729 loss=1.783256 Epoch[161] Batch [0049]/[3760] Speed: 41.841522 samples/sec accuracy=67.062500 loss=1.370108 lr=0.012162 Epoch[161] Batch [0099]/[3760] Speed: 60.157614 samples/sec accuracy=66.343750 loss=1.371052 lr=0.012153 Epoch[161] Batch [0149]/[3760] Speed: 61.746809 samples/sec accuracy=65.458333 loss=1.389035 lr=0.012144 Epoch[161] Batch [0199]/[3760] Speed: 61.389218 samples/sec accuracy=65.750000 loss=1.381041 lr=0.012136 Epoch[161] Batch [0249]/[3760] Speed: 61.742666 samples/sec accuracy=65.518750 loss=1.390195 lr=0.012127 Epoch[161] Batch [0299]/[3760] Speed: 61.110974 samples/sec accuracy=65.473958 loss=1.389525 lr=0.012118 Epoch[161] Batch [0349]/[3760] Speed: 61.207108 samples/sec accuracy=65.593750 loss=1.394258 lr=0.012109 Epoch[161] Batch [0399]/[3760] Speed: 61.063874 samples/sec accuracy=65.597656 loss=1.396277 lr=0.012100 Epoch[161] Batch [0449]/[3760] Speed: 62.368448 samples/sec accuracy=65.552083 loss=1.397865 lr=0.012091 Epoch[161] Batch [0499]/[3760] Speed: 61.427346 samples/sec accuracy=65.656250 loss=1.397174 lr=0.012082 Epoch[161] Batch [0549]/[3760] Speed: 63.022828 samples/sec accuracy=65.633523 loss=1.399423 lr=0.012073 Epoch[161] Batch [0599]/[3760] Speed: 61.671293 samples/sec accuracy=65.661458 loss=1.397553 lr=0.012064 Epoch[161] Batch [0649]/[3760] Speed: 62.157436 samples/sec accuracy=65.692308 loss=1.397514 lr=0.012056 Epoch[161] Batch [0699]/[3760] Speed: 61.646137 samples/sec accuracy=65.716518 loss=1.397450 lr=0.012047 Epoch[161] Batch [0749]/[3760] Speed: 62.504077 samples/sec accuracy=65.708333 loss=1.396201 lr=0.012038 Epoch[161] Batch [0799]/[3760] Speed: 61.981384 samples/sec accuracy=65.708984 loss=1.395987 lr=0.012029 Epoch[161] Batch [0849]/[3760] Speed: 62.772645 samples/sec accuracy=65.636029 loss=1.399134 lr=0.012020 Epoch[161] Batch [0899]/[3760] Speed: 61.322258 samples/sec accuracy=65.559028 loss=1.401901 lr=0.012011 Epoch[161] Batch [0949]/[3760] Speed: 62.533507 samples/sec accuracy=65.460526 loss=1.404651 lr=0.012002 Epoch[161] Batch [0999]/[3760] Speed: 62.402329 samples/sec accuracy=65.435937 loss=1.404806 lr=0.011994 Epoch[161] Batch [1049]/[3760] Speed: 62.389898 samples/sec accuracy=65.452381 loss=1.402894 lr=0.011985 Epoch[161] Batch [1099]/[3760] Speed: 62.162812 samples/sec accuracy=65.447443 loss=1.403223 lr=0.011976 Epoch[161] Batch [1149]/[3760] Speed: 61.966312 samples/sec accuracy=65.456522 loss=1.403988 lr=0.011967 Epoch[161] Batch [1199]/[3760] Speed: 62.266082 samples/sec accuracy=65.484375 loss=1.404042 lr=0.011958 Epoch[161] Batch [1249]/[3760] Speed: 62.582067 samples/sec accuracy=65.432500 loss=1.404992 lr=0.011949 Epoch[161] Batch [1299]/[3760] Speed: 61.646528 samples/sec accuracy=65.451923 loss=1.403754 lr=0.011941 Epoch[161] Batch [1349]/[3760] Speed: 62.930013 samples/sec accuracy=65.466435 loss=1.403779 lr=0.011932 Epoch[161] Batch [1399]/[3760] Speed: 61.383931 samples/sec accuracy=65.429688 loss=1.406463 lr=0.011923 Epoch[161] Batch [1449]/[3760] Speed: 61.954724 samples/sec accuracy=65.429957 loss=1.407007 lr=0.011914 Epoch[161] Batch [1499]/[3760] Speed: 60.504258 samples/sec accuracy=65.407292 loss=1.408397 lr=0.011905 Epoch[161] Batch [1549]/[3760] Speed: 62.251661 samples/sec accuracy=65.355847 loss=1.409342 lr=0.011897 Epoch[161] Batch [1599]/[3760] Speed: 60.566486 samples/sec accuracy=65.333984 loss=1.410246 lr=0.011888 Epoch[161] Batch [1649]/[3760] Speed: 62.796577 samples/sec accuracy=65.326705 loss=1.411089 lr=0.011879 Epoch[161] Batch [1699]/[3760] Speed: 60.670905 samples/sec accuracy=65.268382 loss=1.413149 lr=0.011870 Epoch[161] Batch [1749]/[3760] Speed: 62.837462 samples/sec accuracy=65.224107 loss=1.415490 lr=0.011861 Epoch[161] Batch [1799]/[3760] Speed: 61.197396 samples/sec accuracy=65.208333 loss=1.416284 lr=0.011853 Epoch[161] Batch [1849]/[3760] Speed: 62.643721 samples/sec accuracy=65.200169 loss=1.415966 lr=0.011844 Epoch[161] Batch [1899]/[3760] Speed: 60.936539 samples/sec accuracy=65.199013 loss=1.415292 lr=0.011835 Epoch[161] Batch [1949]/[3760] Speed: 60.919897 samples/sec accuracy=65.226763 loss=1.415237 lr=0.011826 Epoch[161] Batch [1999]/[3760] Speed: 61.495122 samples/sec accuracy=65.200781 loss=1.415776 lr=0.011817 Epoch[161] Batch [2049]/[3760] Speed: 61.685306 samples/sec accuracy=65.214177 loss=1.415517 lr=0.011809 Epoch[161] Batch [2099]/[3760] Speed: 62.119890 samples/sec accuracy=65.238095 loss=1.414850 lr=0.011800 Epoch[161] Batch [2149]/[3760] Speed: 62.549268 samples/sec accuracy=65.199128 loss=1.416825 lr=0.011791 Epoch[161] Batch [2199]/[3760] Speed: 62.173103 samples/sec accuracy=65.190341 loss=1.417556 lr=0.011782 Epoch[161] Batch [2249]/[3760] Speed: 61.490853 samples/sec accuracy=65.202778 loss=1.417430 lr=0.011773 Epoch[161] Batch [2299]/[3760] Speed: 62.272167 samples/sec accuracy=65.194973 loss=1.417549 lr=0.011765 Epoch[161] Batch [2349]/[3760] Speed: 62.231585 samples/sec accuracy=65.200133 loss=1.416652 lr=0.011756 Epoch[161] Batch [2399]/[3760] Speed: 62.562204 samples/sec accuracy=65.182943 loss=1.417591 lr=0.011747 Epoch[161] Batch [2449]/[3760] Speed: 62.355677 samples/sec accuracy=65.176658 loss=1.417186 lr=0.011738 Epoch[161] Batch [2499]/[3760] Speed: 62.054694 samples/sec accuracy=65.179375 loss=1.417651 lr=0.011730 Epoch[161] Batch [2549]/[3760] Speed: 62.208071 samples/sec accuracy=65.188725 loss=1.417806 lr=0.011721 Epoch[161] Batch [2599]/[3760] Speed: 62.839053 samples/sec accuracy=65.169471 loss=1.419037 lr=0.011712 Epoch[161] Batch [2649]/[3760] Speed: 61.986537 samples/sec accuracy=65.120873 loss=1.420560 lr=0.011703 Epoch[161] Batch [2699]/[3760] Speed: 62.233578 samples/sec accuracy=65.130787 loss=1.420303 lr=0.011695 Epoch[161] Batch [2749]/[3760] Speed: 61.400592 samples/sec accuracy=65.100568 loss=1.421172 lr=0.011686 Epoch[161] Batch [2799]/[3760] Speed: 62.986516 samples/sec accuracy=65.083705 loss=1.421622 lr=0.011677 Epoch[161] Batch [2849]/[3760] Speed: 62.108881 samples/sec accuracy=65.061404 loss=1.422468 lr=0.011668 Epoch[161] Batch [2899]/[3760] Speed: 62.663345 samples/sec accuracy=65.069504 loss=1.422028 lr=0.011660 Epoch[161] Batch [2949]/[3760] Speed: 61.830768 samples/sec accuracy=65.079979 loss=1.422309 lr=0.011651 Epoch[161] Batch [2999]/[3760] Speed: 63.048380 samples/sec accuracy=65.065625 loss=1.422806 lr=0.011642 Epoch[161] Batch [3049]/[3760] Speed: 61.315008 samples/sec accuracy=65.053279 loss=1.423498 lr=0.011633 Epoch[161] Batch [3099]/[3760] Speed: 62.334361 samples/sec accuracy=65.063508 loss=1.423290 lr=0.011625 Epoch[161] Batch [3149]/[3760] Speed: 61.459673 samples/sec accuracy=65.048115 loss=1.423643 lr=0.011616 Epoch[161] Batch [3199]/[3760] Speed: 62.233435 samples/sec accuracy=65.052246 loss=1.423962 lr=0.011607 Epoch[161] Batch [3249]/[3760] Speed: 61.420344 samples/sec accuracy=65.054327 loss=1.424130 lr=0.011599 Epoch[161] Batch [3299]/[3760] Speed: 61.963724 samples/sec accuracy=65.056818 loss=1.424423 lr=0.011590 Epoch[161] Batch [3349]/[3760] Speed: 61.916461 samples/sec accuracy=65.066231 loss=1.424868 lr=0.011581 Epoch[161] Batch [3399]/[3760] Speed: 62.246118 samples/sec accuracy=65.063879 loss=1.424935 lr=0.011572 Epoch[161] Batch [3449]/[3760] Speed: 61.337796 samples/sec accuracy=65.054801 loss=1.425223 lr=0.011564 Epoch[161] Batch [3499]/[3760] Speed: 62.337792 samples/sec accuracy=65.029911 loss=1.426326 lr=0.011555 Epoch[161] Batch [3549]/[3760] Speed: 60.988367 samples/sec accuracy=65.025088 loss=1.426778 lr=0.011546 Epoch[161] Batch [3599]/[3760] Speed: 62.541344 samples/sec accuracy=64.998698 loss=1.427817 lr=0.011538 Epoch[161] Batch [3649]/[3760] Speed: 62.284102 samples/sec accuracy=64.994863 loss=1.427938 lr=0.011529 Epoch[161] Batch [3699]/[3760] Speed: 62.268219 samples/sec accuracy=65.001689 loss=1.427178 lr=0.011520 Epoch[161] Batch [3749]/[3760] Speed: 66.872300 samples/sec accuracy=64.997083 loss=1.427861 lr=0.011512 Batch [0049]/[0303]: acc-top1=61.531250 acc-top5=83.062500 Batch [0099]/[0303]: acc-top1=62.078125 acc-top5=83.953125 Batch [0149]/[0303]: acc-top1=61.708333 acc-top5=83.750000 Batch [0199]/[0303]: acc-top1=61.937500 acc-top5=83.882812 Batch [0249]/[0303]: acc-top1=61.718750 acc-top5=83.818750 Batch [0299]/[0303]: acc-top1=61.895833 acc-top5=83.895833 [Epoch 161] training: accuracy=64.987949 loss=1.428052 [Epoch 161] speed: 61 samples/sec time cost: 4193.917758 [Epoch 161] validation: acc-top1=61.855404 acc-top5=83.869637 loss=1.739135 Epoch[162] Batch [0049]/[3759] Speed: 40.723905 samples/sec accuracy=67.343750 loss=1.337294 lr=0.011501 Epoch[162] Batch [0099]/[3759] Speed: 60.486330 samples/sec accuracy=67.187500 loss=1.347570 lr=0.011492 Epoch[162] Batch [0149]/[3759] Speed: 61.308955 samples/sec accuracy=66.593750 loss=1.363144 lr=0.011484 Epoch[162] Batch [0199]/[3759] Speed: 61.142521 samples/sec accuracy=66.335938 loss=1.374677 lr=0.011475 Epoch[162] Batch [0249]/[3759] Speed: 62.336910 samples/sec accuracy=66.331250 loss=1.376866 lr=0.011466 Epoch[162] Batch [0299]/[3759] Speed: 59.810910 samples/sec accuracy=66.338542 loss=1.375782 lr=0.011458 Epoch[162] Batch [0349]/[3759] Speed: 63.127847 samples/sec accuracy=66.334821 loss=1.377558 lr=0.011449 Epoch[162] Batch [0399]/[3759] Speed: 61.597862 samples/sec accuracy=66.406250 loss=1.372711 lr=0.011440 Epoch[162] Batch [0449]/[3759] Speed: 62.403967 samples/sec accuracy=66.350694 loss=1.372207 lr=0.011432 Epoch[162] Batch [0499]/[3759] Speed: 62.016207 samples/sec accuracy=66.359375 loss=1.374640 lr=0.011423 Epoch[162] Batch [0549]/[3759] Speed: 62.029915 samples/sec accuracy=66.207386 loss=1.377025 lr=0.011414 Epoch[162] Batch [0599]/[3759] Speed: 61.458015 samples/sec accuracy=66.054688 loss=1.382421 lr=0.011406 Epoch[162] Batch [0649]/[3759] Speed: 62.459840 samples/sec accuracy=66.127404 loss=1.380696 lr=0.011397 Epoch[162] Batch [0699]/[3759] Speed: 62.196676 samples/sec accuracy=66.071429 loss=1.381514 lr=0.011389 Epoch[162] Batch [0749]/[3759] Speed: 62.927172 samples/sec accuracy=66.089583 loss=1.381746 lr=0.011380 Epoch[162] Batch [0799]/[3759] Speed: 62.152104 samples/sec accuracy=66.093750 loss=1.378958 lr=0.011371 Epoch[162] Batch [0849]/[3759] Speed: 61.915851 samples/sec accuracy=66.095588 loss=1.379629 lr=0.011363 Epoch[162] Batch [0899]/[3759] Speed: 61.647697 samples/sec accuracy=66.019097 loss=1.383136 lr=0.011354 Epoch[162] Batch [0949]/[3759] Speed: 62.552914 samples/sec accuracy=66.026316 loss=1.381375 lr=0.011345 Epoch[162] Batch [0999]/[3759] Speed: 62.675999 samples/sec accuracy=66.043750 loss=1.381888 lr=0.011337 Epoch[162] Batch [1049]/[3759] Speed: 62.573452 samples/sec accuracy=66.026786 loss=1.383751 lr=0.011328 Epoch[162] Batch [1099]/[3759] Speed: 61.373425 samples/sec accuracy=66.014205 loss=1.384103 lr=0.011319 Epoch[162] Batch [1149]/[3759] Speed: 62.547754 samples/sec accuracy=66.001359 loss=1.385163 lr=0.011311 Epoch[162] Batch [1199]/[3759] Speed: 62.400314 samples/sec accuracy=66.026042 loss=1.385737 lr=0.011302 Epoch[162] Batch [1249]/[3759] Speed: 62.722150 samples/sec accuracy=66.035000 loss=1.385525 lr=0.011294 Epoch[162] Batch [1299]/[3759] Speed: 62.279994 samples/sec accuracy=66.062500 loss=1.385044 lr=0.011285 Epoch[162] Batch [1349]/[3759] Speed: 61.390338 samples/sec accuracy=66.070602 loss=1.384980 lr=0.011276 Epoch[162] Batch [1399]/[3759] Speed: 61.978076 samples/sec accuracy=66.054688 loss=1.385739 lr=0.011268 Epoch[162] Batch [1449]/[3759] Speed: 62.265167 samples/sec accuracy=66.026940 loss=1.386443 lr=0.011259 Epoch[162] Batch [1499]/[3759] Speed: 62.508576 samples/sec accuracy=65.964583 loss=1.390366 lr=0.011251 Epoch[162] Batch [1549]/[3759] Speed: 62.136945 samples/sec accuracy=65.908266 loss=1.392395 lr=0.011242 Epoch[162] Batch [1599]/[3759] Speed: 61.775017 samples/sec accuracy=65.899414 loss=1.393438 lr=0.011233 Epoch[162] Batch [1649]/[3759] Speed: 63.151797 samples/sec accuracy=65.892992 loss=1.394544 lr=0.011225 Epoch[162] Batch [1699]/[3759] Speed: 61.958176 samples/sec accuracy=65.869485 loss=1.395124 lr=0.011216 Epoch[162] Batch [1749]/[3759] Speed: 62.418828 samples/sec accuracy=65.888393 loss=1.394658 lr=0.011208 Epoch[162] Batch [1799]/[3759] Speed: 62.376031 samples/sec accuracy=65.850694 loss=1.396323 lr=0.011199 Epoch[162] Batch [1849]/[3759] Speed: 61.339975 samples/sec accuracy=65.841216 loss=1.397798 lr=0.011190 Epoch[162] Batch [1899]/[3759] Speed: 62.650132 samples/sec accuracy=65.832237 loss=1.397729 lr=0.011182 Epoch[162] Batch [1949]/[3759] Speed: 62.409964 samples/sec accuracy=65.811699 loss=1.397579 lr=0.011173 Epoch[162] Batch [1999]/[3759] Speed: 61.847472 samples/sec accuracy=65.800000 loss=1.397683 lr=0.011165 Epoch[162] Batch [2049]/[3759] Speed: 62.452659 samples/sec accuracy=65.788872 loss=1.398490 lr=0.011156 Epoch[162] Batch [2099]/[3759] Speed: 60.762039 samples/sec accuracy=65.793155 loss=1.398720 lr=0.011148 Epoch[162] Batch [2149]/[3759] Speed: 62.783134 samples/sec accuracy=65.796512 loss=1.399004 lr=0.011139 Epoch[162] Batch [2199]/[3759] Speed: 62.317116 samples/sec accuracy=65.762074 loss=1.400667 lr=0.011131 Epoch[162] Batch [2249]/[3759] Speed: 61.992040 samples/sec accuracy=65.773611 loss=1.399645 lr=0.011122 Epoch[162] Batch [2299]/[3759] Speed: 62.110977 samples/sec accuracy=65.742527 loss=1.401023 lr=0.011113 Epoch[162] Batch [2349]/[3759] Speed: 62.268537 samples/sec accuracy=65.713431 loss=1.401555 lr=0.011105 Epoch[162] Batch [2399]/[3759] Speed: 61.628705 samples/sec accuracy=65.729818 loss=1.401532 lr=0.011096 Epoch[162] Batch [2449]/[3759] Speed: 61.758133 samples/sec accuracy=65.709184 loss=1.402189 lr=0.011088 Epoch[162] Batch [2499]/[3759] Speed: 62.262071 samples/sec accuracy=65.717500 loss=1.401276 lr=0.011079 Epoch[162] Batch [2549]/[3759] Speed: 62.521748 samples/sec accuracy=65.749387 loss=1.400082 lr=0.011071 Epoch[162] Batch [2599]/[3759] Speed: 62.416316 samples/sec accuracy=65.754808 loss=1.399631 lr=0.011062 Epoch[162] Batch [2649]/[3759] Speed: 61.527715 samples/sec accuracy=65.750000 loss=1.400307 lr=0.011054 Epoch[162] Batch [2699]/[3759] Speed: 62.421577 samples/sec accuracy=65.752315 loss=1.399999 lr=0.011045 Epoch[162] Batch [2749]/[3759] Speed: 62.011108 samples/sec accuracy=65.747159 loss=1.400708 lr=0.011037 Epoch[162] Batch [2799]/[3759] Speed: 62.850987 samples/sec accuracy=65.743304 loss=1.400442 lr=0.011028 Epoch[162] Batch [2849]/[3759] Speed: 62.244751 samples/sec accuracy=65.735197 loss=1.400729 lr=0.011020 Epoch[162] Batch [2899]/[3759] Speed: 61.817737 samples/sec accuracy=65.698815 loss=1.401881 lr=0.011011 Epoch[162] Batch [2949]/[3759] Speed: 61.876010 samples/sec accuracy=65.695445 loss=1.401707 lr=0.011002 Epoch[162] Batch [2999]/[3759] Speed: 62.248807 samples/sec accuracy=65.691146 loss=1.401665 lr=0.010994 Epoch[162] Batch [3049]/[3759] Speed: 62.404852 samples/sec accuracy=65.675205 loss=1.402246 lr=0.010985 Epoch[162] Batch [3099]/[3759] Speed: 62.969345 samples/sec accuracy=65.670867 loss=1.402258 lr=0.010977 Epoch[162] Batch [3149]/[3759] Speed: 61.252042 samples/sec accuracy=65.662698 loss=1.402361 lr=0.010968 Epoch[162] Batch [3199]/[3759] Speed: 62.526231 samples/sec accuracy=65.674805 loss=1.402261 lr=0.010960 Epoch[162] Batch [3249]/[3759] Speed: 61.963561 samples/sec accuracy=65.685577 loss=1.401633 lr=0.010951 Epoch[162] Batch [3299]/[3759] Speed: 62.789599 samples/sec accuracy=65.669508 loss=1.401837 lr=0.010943 Epoch[162] Batch [3349]/[3759] Speed: 62.015254 samples/sec accuracy=65.663713 loss=1.402912 lr=0.010934 Epoch[162] Batch [3399]/[3759] Speed: 61.186198 samples/sec accuracy=65.648438 loss=1.403754 lr=0.010926 Epoch[162] Batch [3449]/[3759] Speed: 61.559097 samples/sec accuracy=65.640851 loss=1.404130 lr=0.010918 Epoch[162] Batch [3499]/[3759] Speed: 61.527503 samples/sec accuracy=65.624107 loss=1.404813 lr=0.010909 Epoch[162] Batch [3549]/[3759] Speed: 62.030707 samples/sec accuracy=65.606514 loss=1.405681 lr=0.010901 Epoch[162] Batch [3599]/[3759] Speed: 61.889564 samples/sec accuracy=65.585069 loss=1.406676 lr=0.010892 Epoch[162] Batch [3649]/[3759] Speed: 61.165324 samples/sec accuracy=65.585616 loss=1.407203 lr=0.010884 Epoch[162] Batch [3699]/[3759] Speed: 61.562568 samples/sec accuracy=65.587416 loss=1.407017 lr=0.010875 Epoch[162] Batch [3749]/[3759] Speed: 66.795646 samples/sec accuracy=65.589167 loss=1.407192 lr=0.010867 Batch [0049]/[0303]: acc-top1=62.218750 acc-top5=83.937500 Batch [0099]/[0303]: acc-top1=63.234375 acc-top5=84.593750 Batch [0149]/[0303]: acc-top1=62.718750 acc-top5=84.531250 Batch [0199]/[0303]: acc-top1=63.046875 acc-top5=84.632812 Batch [0249]/[0303]: acc-top1=62.712500 acc-top5=84.500000 Batch [0299]/[0303]: acc-top1=62.901042 acc-top5=84.666667 [Epoch 162] training: accuracy=65.585096 loss=1.407295 [Epoch 162] speed: 61 samples/sec time cost: 4190.285407 [Epoch 162] validation: acc-top1=62.881601 acc-top5=84.622525 loss=1.721963 Epoch[163] Batch [0049]/[3760] Speed: 41.260173 samples/sec accuracy=67.218750 loss=1.319137 lr=0.010857 Epoch[163] Batch [0099]/[3760] Speed: 60.501066 samples/sec accuracy=66.968750 loss=1.351494 lr=0.010848 Epoch[163] Batch [0149]/[3760] Speed: 60.483960 samples/sec accuracy=67.343750 loss=1.327031 lr=0.010840 Epoch[163] Batch [0199]/[3760] Speed: 60.511988 samples/sec accuracy=67.648438 loss=1.317375 lr=0.010831 Epoch[163] Batch [0249]/[3760] Speed: 61.463845 samples/sec accuracy=67.237500 loss=1.334178 lr=0.010823 Epoch[163] Batch [0299]/[3760] Speed: 60.233442 samples/sec accuracy=67.338542 loss=1.333089 lr=0.010814 Epoch[163] Batch [0349]/[3760] Speed: 62.255388 samples/sec accuracy=67.107143 loss=1.339278 lr=0.010806 Epoch[163] Batch [0399]/[3760] Speed: 60.457208 samples/sec accuracy=67.031250 loss=1.340026 lr=0.010798 Epoch[163] Batch [0449]/[3760] Speed: 61.469346 samples/sec accuracy=66.826389 loss=1.349555 lr=0.010789 Epoch[163] Batch [0499]/[3760] Speed: 60.717697 samples/sec accuracy=66.703125 loss=1.354274 lr=0.010781 Epoch[163] Batch [0549]/[3760] Speed: 62.631891 samples/sec accuracy=66.661932 loss=1.356144 lr=0.010772 Epoch[163] Batch [0599]/[3760] Speed: 61.569637 samples/sec accuracy=66.664062 loss=1.355683 lr=0.010764 Epoch[163] Batch [0649]/[3760] Speed: 62.989661 samples/sec accuracy=66.625000 loss=1.356962 lr=0.010755 Epoch[163] Batch [0699]/[3760] Speed: 61.061369 samples/sec accuracy=66.611607 loss=1.361371 lr=0.010747 Epoch[163] Batch [0749]/[3760] Speed: 62.813014 samples/sec accuracy=66.562500 loss=1.363424 lr=0.010738 Epoch[163] Batch [0799]/[3760] Speed: 62.003399 samples/sec accuracy=66.509766 loss=1.367180 lr=0.010730 Epoch[163] Batch [0849]/[3760] Speed: 62.304899 samples/sec accuracy=66.483456 loss=1.369917 lr=0.010722 Epoch[163] Batch [0899]/[3760] Speed: 62.307358 samples/sec accuracy=66.440972 loss=1.370619 lr=0.010713 Epoch[163] Batch [0949]/[3760] Speed: 61.066347 samples/sec accuracy=66.407895 loss=1.371860 lr=0.010705 Epoch[163] Batch [0999]/[3760] Speed: 62.951322 samples/sec accuracy=66.335938 loss=1.373382 lr=0.010696 Epoch[163] Batch [1049]/[3760] Speed: 62.354197 samples/sec accuracy=66.355655 loss=1.372801 lr=0.010688 Epoch[163] Batch [1099]/[3760] Speed: 62.400279 samples/sec accuracy=66.427557 loss=1.368536 lr=0.010680 Epoch[163] Batch [1149]/[3760] Speed: 62.555480 samples/sec accuracy=66.346467 loss=1.369612 lr=0.010671 Epoch[163] Batch [1199]/[3760] Speed: 62.430112 samples/sec accuracy=66.381510 loss=1.368011 lr=0.010663 Epoch[163] Batch [1249]/[3760] Speed: 61.493288 samples/sec accuracy=66.345000 loss=1.369472 lr=0.010654 Epoch[163] Batch [1299]/[3760] Speed: 62.694603 samples/sec accuracy=66.310096 loss=1.371193 lr=0.010646 Epoch[163] Batch [1349]/[3760] Speed: 62.216219 samples/sec accuracy=66.310185 loss=1.372129 lr=0.010638 Epoch[163] Batch [1399]/[3760] Speed: 61.920780 samples/sec accuracy=66.287946 loss=1.371427 lr=0.010629 Epoch[163] Batch [1449]/[3760] Speed: 62.249626 samples/sec accuracy=66.302802 loss=1.370843 lr=0.010621 Epoch[163] Batch [1499]/[3760] Speed: 61.536707 samples/sec accuracy=66.284375 loss=1.370723 lr=0.010612 Epoch[163] Batch [1549]/[3760] Speed: 62.961055 samples/sec accuracy=66.208669 loss=1.372179 lr=0.010604 Epoch[163] Batch [1599]/[3760] Speed: 62.266864 samples/sec accuracy=66.193359 loss=1.372847 lr=0.010596 Epoch[163] Batch [1649]/[3760] Speed: 62.520269 samples/sec accuracy=66.183712 loss=1.372847 lr=0.010587 Epoch[163] Batch [1699]/[3760] Speed: 62.465705 samples/sec accuracy=66.187500 loss=1.372881 lr=0.010579 Epoch[163] Batch [1749]/[3760] Speed: 62.346186 samples/sec accuracy=66.187500 loss=1.373267 lr=0.010571 Epoch[163] Batch [1799]/[3760] Speed: 61.707165 samples/sec accuracy=66.202257 loss=1.373064 lr=0.010562 Epoch[163] Batch [1849]/[3760] Speed: 62.375250 samples/sec accuracy=66.211993 loss=1.371746 lr=0.010554 Epoch[163] Batch [1899]/[3760] Speed: 62.156900 samples/sec accuracy=66.201480 loss=1.371740 lr=0.010546 Epoch[163] Batch [1949]/[3760] Speed: 62.750144 samples/sec accuracy=66.189904 loss=1.371834 lr=0.010537 Epoch[163] Batch [1999]/[3760] Speed: 62.118703 samples/sec accuracy=66.190625 loss=1.372002 lr=0.010529 Epoch[163] Batch [2049]/[3760] Speed: 61.851645 samples/sec accuracy=66.214939 loss=1.371567 lr=0.010521 Epoch[163] Batch [2099]/[3760] Speed: 62.531487 samples/sec accuracy=66.206845 loss=1.372135 lr=0.010512 Epoch[163] Batch [2149]/[3760] Speed: 62.618937 samples/sec accuracy=66.196221 loss=1.372521 lr=0.010504 Epoch[163] Batch [2199]/[3760] Speed: 62.153976 samples/sec accuracy=66.202415 loss=1.371954 lr=0.010495 Epoch[163] Batch [2249]/[3760] Speed: 62.121303 samples/sec accuracy=66.232639 loss=1.371052 lr=0.010487 Epoch[163] Batch [2299]/[3760] Speed: 61.123336 samples/sec accuracy=66.220109 loss=1.372045 lr=0.010479 Epoch[163] Batch [2349]/[3760] Speed: 62.614035 samples/sec accuracy=66.238697 loss=1.372157 lr=0.010470 Epoch[163] Batch [2399]/[3760] Speed: 62.042192 samples/sec accuracy=66.224609 loss=1.373053 lr=0.010462 Epoch[163] Batch [2449]/[3760] Speed: 61.692759 samples/sec accuracy=66.230867 loss=1.372490 lr=0.010454 Epoch[163] Batch [2499]/[3760] Speed: 61.384308 samples/sec accuracy=66.244375 loss=1.371693 lr=0.010446 Epoch[163] Batch [2549]/[3760] Speed: 59.614386 samples/sec accuracy=66.251838 loss=1.371015 lr=0.010437 Epoch[163] Batch [2599]/[3760] Speed: 61.414090 samples/sec accuracy=66.244591 loss=1.371438 lr=0.010429 Epoch[163] Batch [2649]/[3760] Speed: 58.817687 samples/sec accuracy=66.242335 loss=1.372101 lr=0.010421 Epoch[163] Batch [2699]/[3760] Speed: 62.310068 samples/sec accuracy=66.253472 loss=1.372023 lr=0.010412 Epoch[163] Batch [2749]/[3760] Speed: 59.485441 samples/sec accuracy=66.244318 loss=1.372209 lr=0.010404 Epoch[163] Batch [2799]/[3760] Speed: 61.946251 samples/sec accuracy=66.225446 loss=1.373263 lr=0.010396 Epoch[163] Batch [2849]/[3760] Speed: 58.939619 samples/sec accuracy=66.224781 loss=1.373568 lr=0.010387 Epoch[163] Batch [2899]/[3760] Speed: 62.175184 samples/sec accuracy=66.222522 loss=1.373892 lr=0.010379 Epoch[163] Batch [2949]/[3760] Speed: 60.479403 samples/sec accuracy=66.221398 loss=1.374327 lr=0.010371 Epoch[163] Batch [2999]/[3760] Speed: 61.354038 samples/sec accuracy=66.229687 loss=1.374190 lr=0.010362 Epoch[163] Batch [3049]/[3760] Speed: 60.702351 samples/sec accuracy=66.213627 loss=1.374897 lr=0.010354 Epoch[163] Batch [3099]/[3760] Speed: 61.138330 samples/sec accuracy=66.223286 loss=1.374622 lr=0.010346 Epoch[163] Batch [3149]/[3760] Speed: 61.218132 samples/sec accuracy=66.227679 loss=1.374380 lr=0.010338 Epoch[163] Batch [3199]/[3760] Speed: 61.306899 samples/sec accuracy=66.211426 loss=1.374900 lr=0.010329 Epoch[163] Batch [3249]/[3760] Speed: 62.175349 samples/sec accuracy=66.177404 loss=1.376154 lr=0.010321 Epoch[163] Batch [3299]/[3760] Speed: 61.959904 samples/sec accuracy=66.191761 loss=1.375555 lr=0.010313 Epoch[163] Batch [3349]/[3760] Speed: 62.036461 samples/sec accuracy=66.176306 loss=1.376420 lr=0.010305 Epoch[163] Batch [3399]/[3760] Speed: 60.667835 samples/sec accuracy=66.183824 loss=1.376101 lr=0.010296 Epoch[163] Batch [3449]/[3760] Speed: 62.237295 samples/sec accuracy=66.172554 loss=1.376329 lr=0.010288 Epoch[163] Batch [3499]/[3760] Speed: 61.400208 samples/sec accuracy=66.154018 loss=1.376769 lr=0.010280 Epoch[163] Batch [3549]/[3760] Speed: 61.970197 samples/sec accuracy=66.160211 loss=1.376809 lr=0.010272 Epoch[163] Batch [3599]/[3760] Speed: 61.190018 samples/sec accuracy=66.153212 loss=1.377291 lr=0.010263 Epoch[163] Batch [3649]/[3760] Speed: 61.148670 samples/sec accuracy=66.149829 loss=1.377749 lr=0.010255 Epoch[163] Batch [3699]/[3760] Speed: 62.023963 samples/sec accuracy=66.154561 loss=1.377433 lr=0.010247 Epoch[163] Batch [3749]/[3760] Speed: 66.762946 samples/sec accuracy=66.159583 loss=1.376969 lr=0.010239 Batch [0049]/[0303]: acc-top1=62.093750 acc-top5=84.187500 Batch [0099]/[0303]: acc-top1=62.828125 acc-top5=84.250000 Batch [0149]/[0303]: acc-top1=62.750000 acc-top5=84.072917 Batch [0199]/[0303]: acc-top1=62.882812 acc-top5=84.109375 Batch [0249]/[0303]: acc-top1=62.662500 acc-top5=83.962500 Batch [0299]/[0303]: acc-top1=62.947917 acc-top5=84.182292 [Epoch 163] training: accuracy=66.163564 loss=1.376911 [Epoch 163] speed: 61 samples/sec time cost: 4211.624275 [Epoch 163] validation: acc-top1=62.917698 acc-top5=84.132632 loss=1.740685 Epoch[164] Batch [0049]/[3760] Speed: 41.886555 samples/sec accuracy=66.906250 loss=1.342601 lr=0.010229 Epoch[164] Batch [0099]/[3760] Speed: 60.097145 samples/sec accuracy=67.093750 loss=1.339900 lr=0.010220 Epoch[164] Batch [0149]/[3760] Speed: 60.425593 samples/sec accuracy=67.010417 loss=1.342039 lr=0.010212 Epoch[164] Batch [0199]/[3760] Speed: 61.639020 samples/sec accuracy=67.015625 loss=1.341952 lr=0.010204 Epoch[164] Batch [0249]/[3760] Speed: 61.872685 samples/sec accuracy=67.206250 loss=1.338218 lr=0.010196 Epoch[164] Batch [0299]/[3760] Speed: 61.666597 samples/sec accuracy=67.286458 loss=1.328872 lr=0.010187 Epoch[164] Batch [0349]/[3760] Speed: 62.294940 samples/sec accuracy=67.325893 loss=1.325406 lr=0.010179 Epoch[164] Batch [0399]/[3760] Speed: 61.283131 samples/sec accuracy=67.289062 loss=1.323961 lr=0.010171 Epoch[164] Batch [0449]/[3760] Speed: 62.124493 samples/sec accuracy=67.128472 loss=1.332532 lr=0.010163 Epoch[164] Batch [0499]/[3760] Speed: 61.593912 samples/sec accuracy=67.165625 loss=1.332960 lr=0.010155 Epoch[164] Batch [0549]/[3760] Speed: 62.790663 samples/sec accuracy=67.090909 loss=1.335628 lr=0.010146 Epoch[164] Batch [0599]/[3760] Speed: 62.353048 samples/sec accuracy=67.109375 loss=1.336529 lr=0.010138 Epoch[164] Batch [0649]/[3760] Speed: 62.864584 samples/sec accuracy=67.031250 loss=1.339220 lr=0.010130 Epoch[164] Batch [0699]/[3760] Speed: 61.078254 samples/sec accuracy=66.928571 loss=1.341755 lr=0.010122 Epoch[164] Batch [0749]/[3760] Speed: 62.618404 samples/sec accuracy=66.981250 loss=1.343891 lr=0.010114 Epoch[164] Batch [0799]/[3760] Speed: 62.501758 samples/sec accuracy=67.015625 loss=1.343359 lr=0.010105 Epoch[164] Batch [0849]/[3760] Speed: 62.558666 samples/sec accuracy=66.970588 loss=1.343781 lr=0.010097 Epoch[164] Batch [0899]/[3760] Speed: 62.215727 samples/sec accuracy=66.937500 loss=1.344334 lr=0.010089 Epoch[164] Batch [0949]/[3760] Speed: 61.333139 samples/sec accuracy=66.914474 loss=1.345100 lr=0.010081 Epoch[164] Batch [0999]/[3760] Speed: 63.071338 samples/sec accuracy=66.914062 loss=1.345022 lr=0.010073 Epoch[164] Batch [1049]/[3760] Speed: 62.211972 samples/sec accuracy=66.903274 loss=1.344914 lr=0.010064 Epoch[164] Batch [1099]/[3760] Speed: 62.173309 samples/sec accuracy=66.936080 loss=1.343323 lr=0.010056 Epoch[164] Batch [1149]/[3760] Speed: 63.060782 samples/sec accuracy=66.983696 loss=1.341189 lr=0.010048 Epoch[164] Batch [1199]/[3760] Speed: 62.276418 samples/sec accuracy=66.975260 loss=1.341193 lr=0.010040 Epoch[164] Batch [1249]/[3760] Speed: 62.673196 samples/sec accuracy=66.987500 loss=1.340636 lr=0.010032 Epoch[164] Batch [1299]/[3760] Speed: 62.826765 samples/sec accuracy=66.939904 loss=1.342392 lr=0.010024 Epoch[164] Batch [1349]/[3760] Speed: 62.573033 samples/sec accuracy=66.960648 loss=1.341547 lr=0.010015 Epoch[164] Batch [1399]/[3760] Speed: 62.840028 samples/sec accuracy=66.904018 loss=1.344695 lr=0.010007 Epoch[164] Batch [1449]/[3760] Speed: 61.373178 samples/sec accuracy=66.882543 loss=1.345360 lr=0.009999 Epoch[164] Batch [1499]/[3760] Speed: 63.400971 samples/sec accuracy=66.797917 loss=1.347670 lr=0.009991 Epoch[164] Batch [1549]/[3760] Speed: 62.192968 samples/sec accuracy=66.805444 loss=1.347096 lr=0.009983 Epoch[164] Batch [1599]/[3760] Speed: 62.545143 samples/sec accuracy=66.797852 loss=1.347119 lr=0.009975 Epoch[164] Batch [1649]/[3760] Speed: 62.892035 samples/sec accuracy=66.828598 loss=1.346829 lr=0.009966 Epoch[164] Batch [1699]/[3760] Speed: 62.498873 samples/sec accuracy=66.824449 loss=1.347159 lr=0.009958 Epoch[164] Batch [1749]/[3760] Speed: 61.848443 samples/sec accuracy=66.820536 loss=1.348547 lr=0.009950 Epoch[164] Batch [1799]/[3760] Speed: 62.360151 samples/sec accuracy=66.810764 loss=1.349483 lr=0.009942 Epoch[164] Batch [1849]/[3760] Speed: 62.660285 samples/sec accuracy=66.792230 loss=1.350528 lr=0.009934 Epoch[164] Batch [1899]/[3760] Speed: 62.428540 samples/sec accuracy=66.754112 loss=1.352157 lr=0.009926 Epoch[164] Batch [1949]/[3760] Speed: 62.634939 samples/sec accuracy=66.717147 loss=1.354458 lr=0.009918 Epoch[164] Batch [1999]/[3760] Speed: 61.676206 samples/sec accuracy=66.696875 loss=1.355036 lr=0.009910 Epoch[164] Batch [2049]/[3760] Speed: 62.558863 samples/sec accuracy=66.671494 loss=1.355335 lr=0.009901 Epoch[164] Batch [2099]/[3760] Speed: 61.900341 samples/sec accuracy=66.652530 loss=1.356280 lr=0.009893 Epoch[164] Batch [2149]/[3760] Speed: 62.527126 samples/sec accuracy=66.637355 loss=1.355610 lr=0.009885 Epoch[164] Batch [2199]/[3760] Speed: 62.072110 samples/sec accuracy=66.634233 loss=1.355740 lr=0.009877 Epoch[164] Batch [2249]/[3760] Speed: 62.102317 samples/sec accuracy=66.624306 loss=1.356346 lr=0.009869 Epoch[164] Batch [2299]/[3760] Speed: 61.578795 samples/sec accuracy=66.629755 loss=1.356396 lr=0.009861 Epoch[164] Batch [2349]/[3760] Speed: 62.361169 samples/sec accuracy=66.597739 loss=1.356628 lr=0.009853 Epoch[164] Batch [2399]/[3760] Speed: 61.380964 samples/sec accuracy=66.610026 loss=1.356184 lr=0.009845 Epoch[164] Batch [2449]/[3760] Speed: 62.180678 samples/sec accuracy=66.607781 loss=1.356343 lr=0.009837 Epoch[164] Batch [2499]/[3760] Speed: 60.253631 samples/sec accuracy=66.578750 loss=1.357320 lr=0.009828 Epoch[164] Batch [2549]/[3760] Speed: 62.393411 samples/sec accuracy=66.571078 loss=1.358493 lr=0.009820 Epoch[164] Batch [2599]/[3760] Speed: 61.526604 samples/sec accuracy=66.585337 loss=1.357795 lr=0.009812 Epoch[164] Batch [2649]/[3760] Speed: 61.632269 samples/sec accuracy=66.587264 loss=1.357776 lr=0.009804 Epoch[164] Batch [2699]/[3760] Speed: 61.257790 samples/sec accuracy=66.573495 loss=1.358329 lr=0.009796 Epoch[164] Batch [2749]/[3760] Speed: 60.524485 samples/sec accuracy=66.552841 loss=1.358983 lr=0.009788 Epoch[164] Batch [2799]/[3760] Speed: 62.345486 samples/sec accuracy=66.548549 loss=1.359815 lr=0.009780 Epoch[164] Batch [2849]/[3760] Speed: 61.591885 samples/sec accuracy=66.527961 loss=1.360903 lr=0.009772 Epoch[164] Batch [2899]/[3760] Speed: 61.850066 samples/sec accuracy=66.536099 loss=1.361081 lr=0.009764 Epoch[164] Batch [2949]/[3760] Speed: 61.317219 samples/sec accuracy=66.523305 loss=1.361997 lr=0.009756 Epoch[164] Batch [2999]/[3760] Speed: 62.660751 samples/sec accuracy=66.536979 loss=1.361448 lr=0.009748 Epoch[164] Batch [3049]/[3760] Speed: 60.483318 samples/sec accuracy=66.547643 loss=1.361254 lr=0.009740 Epoch[164] Batch [3099]/[3760] Speed: 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lr=0.009659 Epoch[164] Batch [3599]/[3760] Speed: 62.310900 samples/sec accuracy=66.512153 loss=1.362588 lr=0.009651 Epoch[164] Batch [3649]/[3760] Speed: 61.822449 samples/sec accuracy=66.521404 loss=1.362411 lr=0.009643 Epoch[164] Batch [3699]/[3760] Speed: 62.423203 samples/sec accuracy=66.546453 loss=1.361533 lr=0.009635 Epoch[164] Batch [3749]/[3760] Speed: 66.832062 samples/sec accuracy=66.556667 loss=1.361165 lr=0.009627 Batch [0049]/[0303]: acc-top1=62.500000 acc-top5=83.500000 Batch [0099]/[0303]: acc-top1=62.906250 acc-top5=83.937500 Batch [0149]/[0303]: acc-top1=62.510417 acc-top5=83.916667 Batch [0199]/[0303]: acc-top1=62.609375 acc-top5=84.109375 Batch [0249]/[0303]: acc-top1=62.393750 acc-top5=84.118750 Batch [0299]/[0303]: acc-top1=62.713542 acc-top5=84.333333 [Epoch 164] training: accuracy=66.556682 loss=1.361309 [Epoch 164] speed: 61 samples/sec time cost: 4189.736895 [Epoch 164] validation: acc-top1=62.665017 acc-top5=84.266708 loss=1.735975 Epoch[165] Batch 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accuracy=67.437500 loss=1.317307 lr=0.009545 Epoch[165] Batch [0549]/[3759] Speed: 61.270882 samples/sec accuracy=67.460227 loss=1.316297 lr=0.009537 Epoch[165] Batch [0599]/[3759] Speed: 61.848574 samples/sec accuracy=67.330729 loss=1.321436 lr=0.009529 Epoch[165] Batch [0649]/[3759] Speed: 62.740884 samples/sec accuracy=67.295673 loss=1.321562 lr=0.009521 Epoch[165] Batch [0699]/[3759] Speed: 61.761162 samples/sec accuracy=67.424107 loss=1.317055 lr=0.009513 Epoch[165] Batch [0749]/[3759] Speed: 62.512775 samples/sec accuracy=67.368750 loss=1.320934 lr=0.009505 Epoch[165] Batch [0799]/[3759] Speed: 60.417674 samples/sec accuracy=67.384766 loss=1.320711 lr=0.009498 Epoch[165] Batch [0849]/[3759] Speed: 63.302091 samples/sec accuracy=67.352941 loss=1.322057 lr=0.009490 Epoch[165] Batch [0899]/[3759] Speed: 61.901114 samples/sec accuracy=67.350694 loss=1.323269 lr=0.009482 Epoch[165] Batch [0949]/[3759] Speed: 62.271401 samples/sec accuracy=67.325658 loss=1.325417 lr=0.009474 Epoch[165] 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accuracy=67.264009 loss=1.329078 lr=0.009394 Epoch[165] Batch [1499]/[3759] Speed: 62.454508 samples/sec accuracy=67.265625 loss=1.329039 lr=0.009386 Epoch[165] Batch [1549]/[3759] Speed: 62.270375 samples/sec accuracy=67.248992 loss=1.329192 lr=0.009378 Epoch[165] Batch [1599]/[3759] Speed: 61.252541 samples/sec accuracy=67.233398 loss=1.329475 lr=0.009370 Epoch[165] Batch [1649]/[3759] Speed: 62.301475 samples/sec accuracy=67.254735 loss=1.328163 lr=0.009362 Epoch[165] Batch [1699]/[3759] Speed: 62.217676 samples/sec accuracy=67.256434 loss=1.327760 lr=0.009355 Epoch[165] Batch [1749]/[3759] Speed: 62.549893 samples/sec accuracy=67.259821 loss=1.327965 lr=0.009347 Epoch[165] Batch [1799]/[3759] Speed: 61.890792 samples/sec accuracy=67.263889 loss=1.327726 lr=0.009339 Epoch[165] Batch [1849]/[3759] Speed: 61.028347 samples/sec accuracy=67.250845 loss=1.327943 lr=0.009331 Epoch[165] Batch [1899]/[3759] Speed: 62.903650 samples/sec accuracy=67.270559 loss=1.326817 lr=0.009323 Epoch[165] Batch [1949]/[3759] Speed: 62.250352 samples/sec accuracy=67.249199 loss=1.327402 lr=0.009315 Epoch[165] Batch [1999]/[3759] Speed: 62.379740 samples/sec accuracy=67.249219 loss=1.327573 lr=0.009307 Epoch[165] Batch [2049]/[3759] Speed: 62.449506 samples/sec accuracy=67.227896 loss=1.328382 lr=0.009299 Epoch[165] Batch [2099]/[3759] Speed: 62.370589 samples/sec accuracy=67.261905 loss=1.327465 lr=0.009291 Epoch[165] Batch [2149]/[3759] Speed: 61.183924 samples/sec accuracy=67.261628 loss=1.327094 lr=0.009283 Epoch[165] Batch [2199]/[3759] Speed: 62.468324 samples/sec accuracy=67.239347 loss=1.328812 lr=0.009276 Epoch[165] Batch [2249]/[3759] Speed: 62.177738 samples/sec accuracy=67.199306 loss=1.330270 lr=0.009268 Epoch[165] Batch [2299]/[3759] Speed: 62.002879 samples/sec accuracy=67.186821 loss=1.330934 lr=0.009260 Epoch[165] Batch [2349]/[3759] Speed: 62.154443 samples/sec accuracy=67.142287 loss=1.332616 lr=0.009252 Epoch[165] Batch [2399]/[3759] Speed: 61.790858 samples/sec accuracy=67.130859 loss=1.333613 lr=0.009244 Epoch[165] Batch [2449]/[3759] Speed: 62.031703 samples/sec accuracy=67.094388 loss=1.335160 lr=0.009236 Epoch[165] Batch [2499]/[3759] Speed: 62.087946 samples/sec accuracy=67.082500 loss=1.335765 lr=0.009228 Epoch[165] Batch [2549]/[3759] Speed: 62.312909 samples/sec accuracy=67.074142 loss=1.336002 lr=0.009220 Epoch[165] Batch [2599]/[3759] Speed: 62.096132 samples/sec accuracy=67.074519 loss=1.336217 lr=0.009213 Epoch[165] Batch [2649]/[3759] Speed: 61.365199 samples/sec accuracy=67.081958 loss=1.336192 lr=0.009205 Epoch[165] Batch [2699]/[3759] Speed: 62.318570 samples/sec accuracy=67.079282 loss=1.336768 lr=0.009197 Epoch[165] Batch [2749]/[3759] Speed: 62.864154 samples/sec accuracy=67.085795 loss=1.336850 lr=0.009189 Epoch[165] Batch [2799]/[3759] Speed: 61.704424 samples/sec accuracy=67.071429 loss=1.336397 lr=0.009181 Epoch[165] Batch [2849]/[3759] Speed: 62.564023 samples/sec accuracy=67.095395 loss=1.335629 lr=0.009173 Epoch[165] Batch [2899]/[3759] Speed: 60.632677 samples/sec accuracy=67.101293 loss=1.334970 lr=0.009165 Epoch[165] Batch [2949]/[3759] Speed: 62.837381 samples/sec accuracy=67.105403 loss=1.334623 lr=0.009158 Epoch[165] Batch [2999]/[3759] Speed: 61.826925 samples/sec accuracy=67.099479 loss=1.334315 lr=0.009150 Epoch[165] Batch [3049]/[3759] Speed: 62.270299 samples/sec accuracy=67.084016 loss=1.334635 lr=0.009142 Epoch[165] Batch [3099]/[3759] Speed: 61.665272 samples/sec accuracy=67.090222 loss=1.334697 lr=0.009134 Epoch[165] Batch [3149]/[3759] Speed: 60.922210 samples/sec accuracy=67.079365 loss=1.334996 lr=0.009126 Epoch[165] Batch [3199]/[3759] Speed: 63.128008 samples/sec accuracy=67.090332 loss=1.334638 lr=0.009118 Epoch[165] Batch [3249]/[3759] Speed: 62.842204 samples/sec accuracy=67.073558 loss=1.335166 lr=0.009111 Epoch[165] Batch [3299]/[3759] Speed: 61.817741 samples/sec accuracy=67.065814 loss=1.334994 lr=0.009103 Epoch[165] Batch [3349]/[3759] Speed: 62.207819 samples/sec accuracy=67.084888 loss=1.334566 lr=0.009095 Epoch[165] Batch [3399]/[3759] Speed: 62.207293 samples/sec accuracy=67.064338 loss=1.334936 lr=0.009087 Epoch[165] Batch [3449]/[3759] Speed: 62.102245 samples/sec accuracy=67.062047 loss=1.335006 lr=0.009079 Epoch[165] Batch [3499]/[3759] Speed: 62.053045 samples/sec accuracy=67.036607 loss=1.335683 lr=0.009072 Epoch[165] Batch [3549]/[3759] Speed: 62.195926 samples/sec accuracy=67.031690 loss=1.336509 lr=0.009064 Epoch[165] Batch [3599]/[3759] Speed: 62.300419 samples/sec accuracy=67.030816 loss=1.336799 lr=0.009056 Epoch[165] Batch [3649]/[3759] Speed: 62.368524 samples/sec accuracy=67.026113 loss=1.336801 lr=0.009048 Epoch[165] Batch [3699]/[3759] Speed: 62.027157 samples/sec accuracy=67.039274 loss=1.336498 lr=0.009040 Epoch[165] Batch [3749]/[3759] Speed: 67.180183 samples/sec accuracy=67.032917 loss=1.336460 lr=0.009033 Batch [0049]/[0303]: acc-top1=63.156250 acc-top5=84.437500 Batch [0099]/[0303]: acc-top1=63.781250 acc-top5=84.609375 Batch [0149]/[0303]: acc-top1=62.979167 acc-top5=84.447917 Batch [0199]/[0303]: acc-top1=63.296875 acc-top5=84.617188 Batch [0249]/[0303]: acc-top1=63.200000 acc-top5=84.500000 Batch [0299]/[0303]: acc-top1=63.322917 acc-top5=84.718750 [Epoch 165] training: accuracy=67.028714 loss=1.336563 [Epoch 165] speed: 61 samples/sec time cost: 4196.068625 [Epoch 165] validation: acc-top1=63.299299 acc-top5=84.684406 loss=1.736924 Epoch[166] Batch [0049]/[3760] Speed: 41.986342 samples/sec accuracy=69.000000 loss=1.242143 lr=0.009023 Epoch[166] Batch [0099]/[3760] Speed: 60.310625 samples/sec accuracy=68.203125 loss=1.293121 lr=0.009016 Epoch[166] Batch [0149]/[3760] Speed: 60.944237 samples/sec accuracy=68.135417 loss=1.286040 lr=0.009008 Epoch[166] Batch [0199]/[3760] Speed: 60.141487 samples/sec accuracy=68.195312 loss=1.293734 lr=0.009000 Epoch[166] Batch [0249]/[3760] Speed: 61.530543 samples/sec accuracy=68.262500 loss=1.291439 lr=0.008992 Epoch[166] Batch [0299]/[3760] 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loss=1.294541 lr=0.008915 Epoch[166] Batch [0799]/[3760] Speed: 62.029643 samples/sec accuracy=68.015625 loss=1.295203 lr=0.008907 Epoch[166] Batch [0849]/[3760] Speed: 62.406204 samples/sec accuracy=68.005515 loss=1.295810 lr=0.008899 Epoch[166] Batch [0899]/[3760] Speed: 62.007777 samples/sec accuracy=68.062500 loss=1.293139 lr=0.008891 Epoch[166] Batch [0949]/[3760] Speed: 62.137191 samples/sec accuracy=68.037829 loss=1.291748 lr=0.008884 Epoch[166] Batch [0999]/[3760] Speed: 61.555935 samples/sec accuracy=68.093750 loss=1.290426 lr=0.008876 Epoch[166] Batch [1049]/[3760] Speed: 61.791262 samples/sec accuracy=68.090774 loss=1.291294 lr=0.008868 Epoch[166] Batch [1099]/[3760] Speed: 62.486151 samples/sec accuracy=68.078125 loss=1.291007 lr=0.008861 Epoch[166] Batch [1149]/[3760] Speed: 62.532775 samples/sec accuracy=68.092391 loss=1.291227 lr=0.008853 Epoch[166] Batch [1199]/[3760] Speed: 62.238529 samples/sec accuracy=68.061198 loss=1.291738 lr=0.008845 Epoch[166] Batch 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accuracy=67.940257 loss=1.295209 lr=0.008768 Epoch[166] Batch [1749]/[3760] Speed: 61.348180 samples/sec accuracy=67.954464 loss=1.294593 lr=0.008760 Epoch[166] Batch [1799]/[3760] Speed: 62.661527 samples/sec accuracy=67.956597 loss=1.295297 lr=0.008753 Epoch[166] Batch [1849]/[3760] Speed: 61.321606 samples/sec accuracy=67.918074 loss=1.296838 lr=0.008745 Epoch[166] Batch [1899]/[3760] Speed: 62.194293 samples/sec accuracy=67.922697 loss=1.296283 lr=0.008737 Epoch[166] Batch [1949]/[3760] Speed: 62.358904 samples/sec accuracy=67.913462 loss=1.296099 lr=0.008730 Epoch[166] Batch [1999]/[3760] Speed: 62.223757 samples/sec accuracy=67.896875 loss=1.296917 lr=0.008722 Epoch[166] Batch [2049]/[3760] Speed: 62.156007 samples/sec accuracy=67.890244 loss=1.298161 lr=0.008714 Epoch[166] Batch [2099]/[3760] Speed: 60.297150 samples/sec accuracy=67.883929 loss=1.298823 lr=0.008707 Epoch[166] Batch [2149]/[3760] Speed: 63.586569 samples/sec accuracy=67.888808 loss=1.298486 lr=0.008699 Epoch[166] 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accuracy=67.604601 loss=1.312840 lr=0.008478 Epoch[166] Batch [3649]/[3760] Speed: 62.500455 samples/sec accuracy=67.591182 loss=1.313019 lr=0.008471 Epoch[166] Batch [3699]/[3760] Speed: 62.307457 samples/sec accuracy=67.594595 loss=1.313082 lr=0.008463 Epoch[166] Batch [3749]/[3760] Speed: 67.307108 samples/sec accuracy=67.598750 loss=1.312797 lr=0.008456 Batch [0049]/[0303]: acc-top1=63.656250 acc-top5=84.187500 Batch [0099]/[0303]: acc-top1=63.796875 acc-top5=84.437500 Batch [0149]/[0303]: acc-top1=63.343750 acc-top5=84.437500 Batch [0199]/[0303]: acc-top1=63.523438 acc-top5=84.640625 Batch [0249]/[0303]: acc-top1=63.300000 acc-top5=84.631250 Batch [0299]/[0303]: acc-top1=63.505208 acc-top5=84.744792 [Epoch 166] training: accuracy=67.591007 loss=1.312898 [Epoch 166] speed: 61 samples/sec time cost: 4200.451211 [Epoch 166] validation: acc-top1=63.484942 acc-top5=84.725660 loss=1.713557 Epoch[167] Batch [0049]/[3760] Speed: 41.656243 samples/sec accuracy=68.093750 loss=1.272415 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lr=0.008162 Epoch[167] Batch [1999]/[3760] Speed: 62.272097 samples/sec accuracy=68.434375 loss=1.276685 lr=0.008154 Epoch[167] Batch [2049]/[3760] Speed: 62.356325 samples/sec accuracy=68.417683 loss=1.277285 lr=0.008147 Epoch[167] Batch [2099]/[3760] Speed: 62.626554 samples/sec accuracy=68.389881 loss=1.278216 lr=0.008139 Epoch[167] Batch [2149]/[3760] Speed: 62.412470 samples/sec accuracy=68.395349 loss=1.277937 lr=0.008132 Epoch[167] Batch [2199]/[3760] Speed: 60.653680 samples/sec accuracy=68.386364 loss=1.279191 lr=0.008125 Epoch[167] Batch [2249]/[3760] Speed: 62.913286 samples/sec accuracy=68.384028 loss=1.280098 lr=0.008117 Epoch[167] Batch [2299]/[3760] Speed: 61.548282 samples/sec accuracy=68.364810 loss=1.280926 lr=0.008110 Epoch[167] Batch [2349]/[3760] Speed: 62.042948 samples/sec accuracy=68.343085 loss=1.281779 lr=0.008102 Epoch[167] Batch [2399]/[3760] Speed: 61.781940 samples/sec accuracy=68.307943 loss=1.283070 lr=0.008095 Epoch[167] Batch [2449]/[3760] Speed: 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lr=0.008021 Epoch[167] Batch [2949]/[3760] Speed: 62.095330 samples/sec accuracy=68.279131 loss=1.284965 lr=0.008014 Epoch[167] Batch [2999]/[3760] Speed: 61.927437 samples/sec accuracy=68.283333 loss=1.284900 lr=0.008006 Epoch[167] Batch [3049]/[3760] Speed: 61.554616 samples/sec accuracy=68.282787 loss=1.284939 lr=0.007999 Epoch[167] Batch [3099]/[3760] Speed: 61.998956 samples/sec accuracy=68.283266 loss=1.284981 lr=0.007992 Epoch[167] Batch [3149]/[3760] Speed: 62.417131 samples/sec accuracy=68.290179 loss=1.285305 lr=0.007984 Epoch[167] Batch [3199]/[3760] Speed: 62.141916 samples/sec accuracy=68.279785 loss=1.285447 lr=0.007977 Epoch[167] Batch [3249]/[3760] Speed: 62.468506 samples/sec accuracy=68.245673 loss=1.286765 lr=0.007969 Epoch[167] Batch [3299]/[3760] Speed: 61.979044 samples/sec accuracy=68.238636 loss=1.286703 lr=0.007962 Epoch[167] Batch [3349]/[3760] Speed: 61.810743 samples/sec accuracy=68.243004 loss=1.286432 lr=0.007955 Epoch[167] Batch [3399]/[3760] Speed: 62.101315 samples/sec accuracy=68.236213 loss=1.286844 lr=0.007947 Epoch[167] Batch [3449]/[3760] Speed: 62.499936 samples/sec accuracy=68.210598 loss=1.287571 lr=0.007940 Epoch[167] Batch [3499]/[3760] Speed: 62.366316 samples/sec accuracy=68.216518 loss=1.287505 lr=0.007933 Epoch[167] Batch [3549]/[3760] Speed: 62.121866 samples/sec accuracy=68.249560 loss=1.286597 lr=0.007925 Epoch[167] Batch [3599]/[3760] Speed: 61.815231 samples/sec accuracy=68.239583 loss=1.287028 lr=0.007918 Epoch[167] Batch [3649]/[3760] Speed: 62.201234 samples/sec accuracy=68.232449 loss=1.287228 lr=0.007911 Epoch[167] Batch [3699]/[3760] Speed: 62.457228 samples/sec accuracy=68.228463 loss=1.287527 lr=0.007903 Epoch[167] Batch [3749]/[3760] Speed: 67.016223 samples/sec accuracy=68.215417 loss=1.287690 lr=0.007896 Batch [0049]/[0303]: acc-top1=63.937500 acc-top5=84.750000 Batch [0099]/[0303]: acc-top1=64.171875 acc-top5=85.140625 Batch [0149]/[0303]: acc-top1=63.729167 acc-top5=84.864583 Batch [0199]/[0303]: acc-top1=63.898438 acc-top5=84.937500 Batch [0249]/[0303]: acc-top1=63.831250 acc-top5=84.843750 Batch [0299]/[0303]: acc-top1=63.937500 acc-top5=85.041667 [Epoch 167] training: accuracy=68.212267 loss=1.287728 [Epoch 167] speed: 61 samples/sec time cost: 4193.198968 [Epoch 167] validation: acc-top1=63.912954 acc-top5=85.019596 loss=1.671110 Epoch[168] Batch [0049]/[3759] Speed: 41.029183 samples/sec accuracy=69.968750 loss=1.206049 lr=0.007887 Epoch[168] Batch [0099]/[3759] Speed: 58.855322 samples/sec accuracy=69.375000 loss=1.229646 lr=0.007880 Epoch[168] Batch [0149]/[3759] Speed: 61.105340 samples/sec accuracy=69.583333 loss=1.223080 lr=0.007873 Epoch[168] Batch [0199]/[3759] Speed: 60.446268 samples/sec accuracy=69.445312 loss=1.230667 lr=0.007865 Epoch[168] Batch [0249]/[3759] Speed: 61.527431 samples/sec accuracy=69.406250 loss=1.234453 lr=0.007858 Epoch[168] Batch [0299]/[3759] Speed: 60.348365 samples/sec accuracy=69.255208 loss=1.239308 lr=0.007851 Epoch[168] Batch 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accuracy=68.968750 loss=1.246439 lr=0.007778 Epoch[168] Batch [0849]/[3759] Speed: 61.842696 samples/sec accuracy=68.970588 loss=1.246924 lr=0.007771 Epoch[168] Batch [0899]/[3759] Speed: 61.075501 samples/sec accuracy=68.980903 loss=1.248159 lr=0.007763 Epoch[168] Batch [0949]/[3759] Speed: 62.694422 samples/sec accuracy=68.981908 loss=1.249435 lr=0.007756 Epoch[168] Batch [0999]/[3759] Speed: 62.029611 samples/sec accuracy=69.078125 loss=1.247089 lr=0.007749 Epoch[168] Batch [1049]/[3759] Speed: 61.547471 samples/sec accuracy=69.083333 loss=1.247804 lr=0.007741 Epoch[168] Batch [1099]/[3759] Speed: 62.185173 samples/sec accuracy=69.034091 loss=1.247801 lr=0.007734 Epoch[168] Batch [1149]/[3759] Speed: 60.115341 samples/sec accuracy=69.061141 loss=1.248624 lr=0.007727 Epoch[168] Batch [1199]/[3759] Speed: 62.969316 samples/sec accuracy=69.027344 loss=1.249509 lr=0.007720 Epoch[168] Batch [1249]/[3759] Speed: 61.979130 samples/sec accuracy=69.023750 loss=1.250052 lr=0.007712 Epoch[168] 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accuracy=68.933929 loss=1.250374 lr=0.007640 Epoch[168] Batch [1799]/[3759] Speed: 62.671643 samples/sec accuracy=68.919271 loss=1.250719 lr=0.007633 Epoch[168] Batch [1849]/[3759] Speed: 62.184491 samples/sec accuracy=68.911318 loss=1.251265 lr=0.007626 Epoch[168] Batch [1899]/[3759] Speed: 62.625158 samples/sec accuracy=68.905428 loss=1.251979 lr=0.007619 Epoch[168] Batch [1949]/[3759] Speed: 60.834505 samples/sec accuracy=68.925481 loss=1.251267 lr=0.007611 Epoch[168] Batch [1999]/[3759] Speed: 63.156721 samples/sec accuracy=68.910938 loss=1.251041 lr=0.007604 Epoch[168] Batch [2049]/[3759] Speed: 62.137247 samples/sec accuracy=68.920732 loss=1.250186 lr=0.007597 Epoch[168] Batch [2099]/[3759] Speed: 62.245341 samples/sec accuracy=68.895833 loss=1.251045 lr=0.007590 Epoch[168] Batch [2149]/[3759] Speed: 62.041370 samples/sec accuracy=68.885901 loss=1.251556 lr=0.007583 Epoch[168] Batch [2199]/[3759] Speed: 62.216429 samples/sec accuracy=68.899148 loss=1.251503 lr=0.007575 Epoch[168] 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accuracy=68.763889 loss=1.256729 lr=0.007504 Epoch[168] Batch [2749]/[3759] Speed: 60.808905 samples/sec accuracy=68.752841 loss=1.257549 lr=0.007497 Epoch[168] Batch [2799]/[3759] Speed: 63.097569 samples/sec accuracy=68.762835 loss=1.257417 lr=0.007489 Epoch[168] Batch [2849]/[3759] Speed: 61.643626 samples/sec accuracy=68.760417 loss=1.257702 lr=0.007482 Epoch[168] Batch [2899]/[3759] Speed: 62.455954 samples/sec accuracy=68.773707 loss=1.257354 lr=0.007475 Epoch[168] Batch [2949]/[3759] Speed: 62.167263 samples/sec accuracy=68.732521 loss=1.258728 lr=0.007468 Epoch[168] Batch [2999]/[3759] Speed: 62.888127 samples/sec accuracy=68.735938 loss=1.258643 lr=0.007461 Epoch[168] Batch [3049]/[3759] Speed: 60.959753 samples/sec accuracy=68.753586 loss=1.258588 lr=0.007454 Epoch[168] Batch [3099]/[3759] Speed: 62.517719 samples/sec accuracy=68.753528 loss=1.258883 lr=0.007447 Epoch[168] Batch [3149]/[3759] Speed: 62.436784 samples/sec accuracy=68.747520 loss=1.258828 lr=0.007439 Epoch[168] Batch [3199]/[3759] Speed: 62.317095 samples/sec accuracy=68.732422 loss=1.259498 lr=0.007432 Epoch[168] Batch [3249]/[3759] Speed: 61.744825 samples/sec accuracy=68.759135 loss=1.258689 lr=0.007425 Epoch[168] Batch [3299]/[3759] Speed: 61.511231 samples/sec accuracy=68.747159 loss=1.258543 lr=0.007418 Epoch[168] Batch [3349]/[3759] Speed: 62.237557 samples/sec accuracy=68.740672 loss=1.259214 lr=0.007411 Epoch[168] Batch [3399]/[3759] Speed: 62.238321 samples/sec accuracy=68.730699 loss=1.259680 lr=0.007404 Epoch[168] Batch [3449]/[3759] Speed: 62.350910 samples/sec accuracy=68.717844 loss=1.259958 lr=0.007397 Epoch[168] Batch [3499]/[3759] Speed: 61.850640 samples/sec accuracy=68.703125 loss=1.260610 lr=0.007390 Epoch[168] Batch [3549]/[3759] Speed: 61.325983 samples/sec accuracy=68.708187 loss=1.260611 lr=0.007383 Epoch[168] Batch [3599]/[3759] Speed: 62.508487 samples/sec accuracy=68.710503 loss=1.260955 lr=0.007375 Epoch[168] Batch [3649]/[3759] Speed: 61.765731 samples/sec accuracy=68.698202 loss=1.261102 lr=0.007368 Epoch[168] Batch [3699]/[3759] Speed: 61.970006 samples/sec accuracy=68.702703 loss=1.261482 lr=0.007361 Epoch[168] Batch [3749]/[3759] Speed: 67.511884 samples/sec accuracy=68.699167 loss=1.261638 lr=0.007354 Batch [0049]/[0303]: acc-top1=64.000000 acc-top5=85.250000 Batch [0099]/[0303]: acc-top1=64.593750 acc-top5=85.140625 Batch [0149]/[0303]: acc-top1=64.197917 acc-top5=84.979167 Batch [0199]/[0303]: acc-top1=64.414062 acc-top5=85.140625 Batch [0249]/[0303]: acc-top1=64.075000 acc-top5=85.125000 Batch [0299]/[0303]: acc-top1=64.213542 acc-top5=85.380208 [Epoch 168] training: accuracy=68.698041 loss=1.261793 [Epoch 168] speed: 61 samples/sec time cost: 4197.628678 [Epoch 168] validation: acc-top1=64.155322 acc-top5=85.334158 loss=1.675962 Epoch[169] Batch [0049]/[3760] Speed: 41.218631 samples/sec accuracy=70.437500 loss=1.224583 lr=0.007346 Epoch[169] Batch [0099]/[3760] Speed: 61.047518 samples/sec accuracy=70.359375 loss=1.236156 lr=0.007339 Epoch[169] Batch [0149]/[3760] Speed: 61.538002 samples/sec accuracy=70.750000 loss=1.199443 lr=0.007332 Epoch[169] Batch [0199]/[3760] Speed: 61.168152 samples/sec accuracy=70.750000 loss=1.203873 lr=0.007325 Epoch[169] Batch [0249]/[3760] Speed: 62.086400 samples/sec accuracy=70.500000 loss=1.214302 lr=0.007317 Epoch[169] Batch [0299]/[3760] Speed: 61.494848 samples/sec accuracy=70.187500 loss=1.221776 lr=0.007310 Epoch[169] Batch [0349]/[3760] Speed: 61.825524 samples/sec accuracy=70.102679 loss=1.222563 lr=0.007303 Epoch[169] Batch [0399]/[3760] Speed: 61.894477 samples/sec accuracy=70.019531 loss=1.222970 lr=0.007296 Epoch[169] Batch [0449]/[3760] Speed: 62.608809 samples/sec accuracy=70.093750 loss=1.216740 lr=0.007289 Epoch[169] Batch [0499]/[3760] Speed: 61.907691 samples/sec accuracy=70.031250 loss=1.217593 lr=0.007282 Epoch[169] Batch [0549]/[3760] Speed: 62.914062 samples/sec accuracy=70.045455 loss=1.215121 lr=0.007275 Epoch[169] Batch [0599]/[3760] Speed: 61.084766 samples/sec accuracy=69.997396 loss=1.216470 lr=0.007268 Epoch[169] Batch [0649]/[3760] Speed: 62.416421 samples/sec accuracy=69.951923 loss=1.216896 lr=0.007261 Epoch[169] Batch [0699]/[3760] Speed: 62.089222 samples/sec accuracy=69.950893 loss=1.216909 lr=0.007254 Epoch[169] Batch [0749]/[3760] Speed: 62.634871 samples/sec accuracy=69.929167 loss=1.218379 lr=0.007247 Epoch[169] Batch [0799]/[3760] Speed: 62.290423 samples/sec accuracy=69.929688 loss=1.217387 lr=0.007240 Epoch[169] Batch [0849]/[3760] Speed: 60.679811 samples/sec accuracy=69.922794 loss=1.217870 lr=0.007233 Epoch[169] Batch [0899]/[3760] Speed: 62.952635 samples/sec accuracy=69.958333 loss=1.216081 lr=0.007226 Epoch[169] Batch [0949]/[3760] Speed: 62.186631 samples/sec accuracy=69.858553 loss=1.218630 lr=0.007219 Epoch[169] Batch [0999]/[3760] Speed: 62.640096 samples/sec accuracy=69.879688 loss=1.218876 lr=0.007212 Epoch[169] Batch [1049]/[3760] Speed: 61.939422 samples/sec accuracy=69.800595 loss=1.220840 lr=0.007205 Epoch[169] Batch [1099]/[3760] Speed: 62.509193 samples/sec accuracy=69.771307 loss=1.220011 lr=0.007198 Epoch[169] Batch [1149]/[3760] Speed: 60.724979 samples/sec accuracy=69.750000 loss=1.220056 lr=0.007191 Epoch[169] Batch [1199]/[3760] Speed: 62.877310 samples/sec accuracy=69.690104 loss=1.220891 lr=0.007184 Epoch[169] Batch [1249]/[3760] Speed: 61.697431 samples/sec accuracy=69.677500 loss=1.222242 lr=0.007177 Epoch[169] Batch [1299]/[3760] Speed: 62.455234 samples/sec accuracy=69.703125 loss=1.222484 lr=0.007170 Epoch[169] Batch [1349]/[3760] Speed: 61.714942 samples/sec accuracy=69.628472 loss=1.224651 lr=0.007163 Epoch[169] Batch [1399]/[3760] Speed: 62.115906 samples/sec accuracy=69.574777 loss=1.227186 lr=0.007156 Epoch[169] Batch [1449]/[3760] Speed: 61.843566 samples/sec accuracy=69.524784 loss=1.228021 lr=0.007149 Epoch[169] Batch [1499]/[3760] Speed: 62.636414 samples/sec accuracy=69.531250 loss=1.227339 lr=0.007142 Epoch[169] Batch [1549]/[3760] Speed: 61.492035 samples/sec accuracy=69.525202 loss=1.228471 lr=0.007135 Epoch[169] Batch [1599]/[3760] Speed: 62.741875 samples/sec accuracy=69.578125 loss=1.226127 lr=0.007128 Epoch[169] Batch [1649]/[3760] Speed: 60.027840 samples/sec accuracy=69.609848 loss=1.225392 lr=0.007121 Epoch[169] Batch [1699]/[3760] Speed: 62.965055 samples/sec accuracy=69.597426 loss=1.225603 lr=0.007114 Epoch[169] Batch [1749]/[3760] Speed: 61.946646 samples/sec accuracy=69.625000 loss=1.225548 lr=0.007107 Epoch[169] Batch [1799]/[3760] Speed: 61.999075 samples/sec accuracy=69.614583 loss=1.225139 lr=0.007100 Epoch[169] Batch [1849]/[3760] Speed: 62.021043 samples/sec accuracy=69.586149 loss=1.226573 lr=0.007093 Epoch[169] Batch [1899]/[3760] Speed: 62.211393 samples/sec accuracy=69.578125 loss=1.226977 lr=0.007086 Epoch[169] Batch [1949]/[3760] Speed: 61.734572 samples/sec accuracy=69.594551 loss=1.226717 lr=0.007079 Epoch[169] Batch [1999]/[3760] Speed: 62.748339 samples/sec accuracy=69.599219 loss=1.227101 lr=0.007072 Epoch[169] Batch [2049]/[3760] Speed: 62.193495 samples/sec accuracy=69.584604 loss=1.227566 lr=0.007065 Epoch[169] Batch [2099]/[3760] Speed: 62.500462 samples/sec accuracy=69.613839 loss=1.227029 lr=0.007058 Epoch[169] Batch [2149]/[3760] Speed: 62.223788 samples/sec accuracy=69.630814 loss=1.226525 lr=0.007051 Epoch[169] Batch [2199]/[3760] Speed: 61.752432 samples/sec accuracy=69.611506 loss=1.227734 lr=0.007044 Epoch[169] Batch [2249]/[3760] Speed: 62.957290 samples/sec accuracy=69.589583 loss=1.228989 lr=0.007037 Epoch[169] Batch [2299]/[3760] Speed: 61.904843 samples/sec accuracy=69.604620 loss=1.228664 lr=0.007030 Epoch[169] Batch [2349]/[3760] Speed: 62.344442 samples/sec accuracy=69.619681 loss=1.228612 lr=0.007023 Epoch[169] Batch [2399]/[3760] Speed: 62.088310 samples/sec accuracy=69.588542 loss=1.230081 lr=0.007016 Epoch[169] Batch [2449]/[3760] Speed: 61.061147 samples/sec accuracy=69.540179 loss=1.231849 lr=0.007009 Epoch[169] Batch [2499]/[3760] Speed: 62.561613 samples/sec accuracy=69.538125 loss=1.232675 lr=0.007003 Epoch[169] Batch [2549]/[3760] Speed: 62.655324 samples/sec accuracy=69.541054 loss=1.232423 lr=0.006996 Epoch[169] Batch [2599]/[3760] Speed: 62.231307 samples/sec accuracy=69.528245 loss=1.232127 lr=0.006989 Epoch[169] Batch [2649]/[3760] Speed: 62.377968 samples/sec accuracy=69.527712 loss=1.231831 lr=0.006982 Epoch[169] Batch [2699]/[3760] Speed: 62.190250 samples/sec accuracy=69.557870 loss=1.231263 lr=0.006975 Epoch[169] Batch [2749]/[3760] Speed: 61.633111 samples/sec accuracy=69.522727 loss=1.232138 lr=0.006968 Epoch[169] Batch [2799]/[3760] Speed: 61.823424 samples/sec accuracy=69.536272 loss=1.231660 lr=0.006961 Epoch[169] Batch [2849]/[3760] Speed: 62.556454 samples/sec accuracy=69.527961 loss=1.232144 lr=0.006954 Epoch[169] Batch [2899]/[3760] Speed: 62.211467 samples/sec accuracy=69.518858 loss=1.232828 lr=0.006947 Epoch[169] Batch [2949]/[3760] Speed: 62.291052 samples/sec accuracy=69.501589 loss=1.233353 lr=0.006940 Epoch[169] Batch [2999]/[3760] Speed: 61.379771 samples/sec accuracy=69.495833 loss=1.233744 lr=0.006933 Epoch[169] Batch [3049]/[3760] Speed: 62.614932 samples/sec accuracy=69.486680 loss=1.233603 lr=0.006927 Epoch[169] Batch [3099]/[3760] Speed: 62.291593 samples/sec accuracy=69.486895 loss=1.233536 lr=0.006920 Epoch[169] Batch [3149]/[3760] Speed: 62.233106 samples/sec accuracy=69.485119 loss=1.233140 lr=0.006913 Epoch[169] Batch [3199]/[3760] Speed: 62.139933 samples/sec accuracy=69.470703 loss=1.233579 lr=0.006906 Epoch[169] Batch [3249]/[3760] Speed: 60.462253 samples/sec accuracy=69.456731 loss=1.234018 lr=0.006899 Epoch[169] Batch [3299]/[3760] Speed: 62.978838 samples/sec accuracy=69.455019 loss=1.234309 lr=0.006892 Epoch[169] Batch [3349]/[3760] Speed: 62.308599 samples/sec accuracy=69.459888 loss=1.233953 lr=0.006885 Epoch[169] Batch [3399]/[3760] Speed: 62.353591 samples/sec accuracy=69.455882 loss=1.233744 lr=0.006878 Epoch[169] Batch [3449]/[3760] Speed: 62.073821 samples/sec accuracy=69.443388 loss=1.233981 lr=0.006871 Epoch[169] Batch [3499]/[3760] Speed: 62.669893 samples/sec accuracy=69.449107 loss=1.234204 lr=0.006865 Epoch[169] Batch [3549]/[3760] Speed: 60.954579 samples/sec accuracy=69.437060 loss=1.234861 lr=0.006858 Epoch[169] Batch [3599]/[3760] Speed: 62.442734 samples/sec accuracy=69.445312 loss=1.234990 lr=0.006851 Epoch[169] Batch [3649]/[3760] Speed: 61.871260 samples/sec accuracy=69.443921 loss=1.234841 lr=0.006844 Epoch[169] Batch [3699]/[3760] Speed: 62.517949 samples/sec accuracy=69.442990 loss=1.234768 lr=0.006837 Epoch[169] Batch [3749]/[3760] Speed: 66.748780 samples/sec accuracy=69.449167 loss=1.234840 lr=0.006830 Batch [0049]/[0303]: acc-top1=64.468750 acc-top5=85.593750 Batch [0099]/[0303]: acc-top1=64.921875 acc-top5=85.671875 Batch [0149]/[0303]: acc-top1=64.302083 acc-top5=85.354167 Batch [0199]/[0303]: acc-top1=64.851562 acc-top5=85.562500 Batch [0249]/[0303]: acc-top1=64.575000 acc-top5=85.475000 Batch [0299]/[0303]: acc-top1=64.755208 acc-top5=85.546875 [Epoch 169] training: accuracy=69.453956 loss=1.234700 [Epoch 169] speed: 61 samples/sec time cost: 4187.312825 [Epoch 169] validation: acc-top1=64.696782 acc-top5=85.488861 loss=1.680985 Epoch[170] Batch [0049]/[3760] Speed: 40.862402 samples/sec accuracy=70.500000 loss=1.173091 lr=0.006822 Epoch[170] Batch [0099]/[3760] Speed: 60.374364 samples/sec accuracy=70.203125 loss=1.182762 lr=0.006815 Epoch[170] Batch [0149]/[3760] Speed: 61.368344 samples/sec accuracy=70.177083 loss=1.184711 lr=0.006808 Epoch[170] Batch [0199]/[3760] Speed: 60.683983 samples/sec accuracy=70.125000 loss=1.188686 lr=0.006802 Epoch[170] Batch [0249]/[3760] Speed: 61.708036 samples/sec accuracy=70.181250 loss=1.188681 lr=0.006795 Epoch[170] Batch [0299]/[3760] Speed: 59.485767 samples/sec accuracy=70.213542 loss=1.190251 lr=0.006788 Epoch[170] Batch [0349]/[3760] Speed: 62.953821 samples/sec accuracy=70.388393 loss=1.189389 lr=0.006781 Epoch[170] Batch [0399]/[3760] Speed: 60.893108 samples/sec accuracy=70.382812 loss=1.189198 lr=0.006774 Epoch[170] Batch [0449]/[3760] Speed: 62.168912 samples/sec accuracy=70.409722 loss=1.186255 lr=0.006767 Epoch[170] Batch [0499]/[3760] Speed: 61.244763 samples/sec accuracy=70.415625 loss=1.188484 lr=0.006761 Epoch[170] Batch [0549]/[3760] Speed: 62.684496 samples/sec accuracy=70.295455 loss=1.191053 lr=0.006754 Epoch[170] Batch [0599]/[3760] Speed: 60.394074 samples/sec accuracy=70.390625 loss=1.190267 lr=0.006747 Epoch[170] Batch [0649]/[3760] Speed: 62.762425 samples/sec accuracy=70.358173 loss=1.193451 lr=0.006740 Epoch[170] Batch [0699]/[3760] Speed: 61.370127 samples/sec accuracy=70.354911 loss=1.196008 lr=0.006733 Epoch[170] Batch [0749]/[3760] Speed: 62.537047 samples/sec accuracy=70.362500 loss=1.194204 lr=0.006727 Epoch[170] Batch [0799]/[3760] Speed: 61.630213 samples/sec accuracy=70.369141 loss=1.193074 lr=0.006720 Epoch[170] Batch [0849]/[3760] Speed: 62.550319 samples/sec accuracy=70.354779 loss=1.194511 lr=0.006713 Epoch[170] Batch [0899]/[3760] Speed: 61.619114 samples/sec accuracy=70.289931 loss=1.196051 lr=0.006706 Epoch[170] Batch [0949]/[3760] Speed: 61.924321 samples/sec accuracy=70.302632 loss=1.194953 lr=0.006699 Epoch[170] Batch [0999]/[3760] Speed: 62.312655 samples/sec accuracy=70.245312 loss=1.198340 lr=0.006693 Epoch[170] Batch [1049]/[3760] Speed: 61.834537 samples/sec accuracy=70.281250 loss=1.197532 lr=0.006686 Epoch[170] Batch [1099]/[3760] Speed: 61.673803 samples/sec accuracy=70.258523 loss=1.197874 lr=0.006679 Epoch[170] Batch [1149]/[3760] Speed: 61.035464 samples/sec accuracy=70.222826 loss=1.199463 lr=0.006672 Epoch[170] Batch [1199]/[3760] Speed: 62.263716 samples/sec accuracy=70.234375 loss=1.199749 lr=0.006666 Epoch[170] Batch [1249]/[3760] Speed: 61.157699 samples/sec accuracy=70.255000 loss=1.198863 lr=0.006659 Epoch[170] Batch [1299]/[3760] Speed: 62.740779 samples/sec accuracy=70.237981 loss=1.199182 lr=0.006652 Epoch[170] 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accuracy=70.127604 loss=1.202926 lr=0.006585 Epoch[170] Batch [1849]/[3760] Speed: 61.825265 samples/sec accuracy=70.103041 loss=1.203734 lr=0.006578 Epoch[170] Batch [1899]/[3760] Speed: 62.955210 samples/sec accuracy=70.085526 loss=1.205380 lr=0.006571 Epoch[170] Batch [1949]/[3760] Speed: 62.236925 samples/sec accuracy=70.100962 loss=1.205166 lr=0.006564 Epoch[170] Batch [1999]/[3760] Speed: 61.663831 samples/sec accuracy=70.127344 loss=1.203501 lr=0.006558 Epoch[170] Batch [2049]/[3760] Speed: 61.824898 samples/sec accuracy=70.141006 loss=1.202308 lr=0.006551 Epoch[170] Batch [2099]/[3760] Speed: 62.449631 samples/sec accuracy=70.149554 loss=1.202202 lr=0.006544 Epoch[170] Batch [2149]/[3760] Speed: 61.758769 samples/sec accuracy=70.189680 loss=1.200520 lr=0.006538 Epoch[170] Batch [2199]/[3760] Speed: 62.493043 samples/sec accuracy=70.186080 loss=1.200623 lr=0.006531 Epoch[170] Batch [2249]/[3760] Speed: 61.469539 samples/sec accuracy=70.181250 loss=1.201053 lr=0.006524 Epoch[170] 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accuracy=70.107955 loss=1.206223 lr=0.006457 Epoch[170] Batch [2799]/[3760] Speed: 61.160602 samples/sec accuracy=70.114955 loss=1.206753 lr=0.006451 Epoch[170] Batch [2849]/[3760] Speed: 60.714671 samples/sec accuracy=70.123355 loss=1.206563 lr=0.006444 Epoch[170] Batch [2899]/[3760] Speed: 61.486041 samples/sec accuracy=70.113685 loss=1.207633 lr=0.006437 Epoch[170] Batch [2949]/[3760] Speed: 61.633151 samples/sec accuracy=70.115996 loss=1.207556 lr=0.006431 Epoch[170] Batch [2999]/[3760] Speed: 61.216447 samples/sec accuracy=70.111979 loss=1.207808 lr=0.006424 Epoch[170] Batch [3049]/[3760] Speed: 61.741241 samples/sec accuracy=70.088115 loss=1.209009 lr=0.006417 Epoch[170] Batch [3099]/[3760] Speed: 60.755241 samples/sec accuracy=70.087198 loss=1.208535 lr=0.006411 Epoch[170] Batch [3149]/[3760] Speed: 61.785560 samples/sec accuracy=70.085317 loss=1.208504 lr=0.006404 Epoch[170] Batch [3199]/[3760] Speed: 60.739271 samples/sec accuracy=70.085449 loss=1.208471 lr=0.006397 Epoch[170] 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accuracy=70.061233 loss=1.208781 lr=0.006331 Epoch[170] Batch [3749]/[3760] Speed: 66.857907 samples/sec accuracy=70.050417 loss=1.209517 lr=0.006325 Batch [0049]/[0303]: acc-top1=65.093750 acc-top5=85.500000 Batch [0099]/[0303]: acc-top1=65.906250 acc-top5=85.718750 Batch [0149]/[0303]: acc-top1=65.197917 acc-top5=85.427083 Batch [0199]/[0303]: acc-top1=65.421875 acc-top5=85.648438 Batch [0249]/[0303]: acc-top1=65.300000 acc-top5=85.612500 Batch [0299]/[0303]: acc-top1=65.322917 acc-top5=85.776042 [Epoch 170] training: accuracy=70.049451 loss=1.209544 [Epoch 170] speed: 61 samples/sec time cost: 4213.310879 [Epoch 170] validation: acc-top1=65.279497 acc-top5=85.767327 loss=1.646677 Epoch[171] Batch [0049]/[3759] Speed: 42.314615 samples/sec accuracy=71.437500 loss=1.134205 lr=0.006317 Epoch[171] Batch [0099]/[3759] Speed: 60.205774 samples/sec accuracy=71.734375 loss=1.130584 lr=0.006310 Epoch[171] Batch [0149]/[3759] Speed: 61.355844 samples/sec accuracy=71.375000 loss=1.138465 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lr=0.006179 Epoch[171] Batch [1149]/[3759] Speed: 62.148950 samples/sec accuracy=71.199728 loss=1.160706 lr=0.006172 Epoch[171] Batch [1199]/[3759] Speed: 61.514383 samples/sec accuracy=71.227865 loss=1.160910 lr=0.006166 Epoch[171] Batch [1249]/[3759] Speed: 62.164456 samples/sec accuracy=71.220000 loss=1.160951 lr=0.006159 Epoch[171] Batch [1299]/[3759] Speed: 60.977623 samples/sec accuracy=71.218750 loss=1.161046 lr=0.006153 Epoch[171] Batch [1349]/[3759] Speed: 62.172600 samples/sec accuracy=71.188657 loss=1.162321 lr=0.006146 Epoch[171] Batch [1399]/[3759] Speed: 62.337531 samples/sec accuracy=71.166295 loss=1.163661 lr=0.006140 Epoch[171] Batch [1449]/[3759] Speed: 62.075019 samples/sec accuracy=71.167026 loss=1.163259 lr=0.006133 Epoch[171] Batch [1499]/[3759] Speed: 62.478619 samples/sec accuracy=71.109375 loss=1.165051 lr=0.006127 Epoch[171] Batch [1549]/[3759] Speed: 60.976752 samples/sec accuracy=71.088710 loss=1.165369 lr=0.006120 Epoch[171] Batch [1599]/[3759] Speed: 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lr=0.006055 Epoch[171] Batch [2099]/[3759] Speed: 62.009093 samples/sec accuracy=71.038690 loss=1.169150 lr=0.006049 Epoch[171] Batch [2149]/[3759] Speed: 61.295261 samples/sec accuracy=71.003634 loss=1.169756 lr=0.006042 Epoch[171] Batch [2199]/[3759] Speed: 62.431664 samples/sec accuracy=71.020597 loss=1.169008 lr=0.006036 Epoch[171] Batch [2249]/[3759] Speed: 61.659123 samples/sec accuracy=71.016667 loss=1.168903 lr=0.006029 Epoch[171] Batch [2299]/[3759] Speed: 62.357884 samples/sec accuracy=71.029891 loss=1.168483 lr=0.006023 Epoch[171] Batch [2349]/[3759] Speed: 60.124233 samples/sec accuracy=71.011968 loss=1.168655 lr=0.006016 Epoch[171] Batch [2399]/[3759] Speed: 62.953183 samples/sec accuracy=71.009766 loss=1.169387 lr=0.006010 Epoch[171] Batch [2449]/[3759] Speed: 62.319214 samples/sec accuracy=70.977679 loss=1.170570 lr=0.006003 Epoch[171] Batch [2499]/[3759] Speed: 62.184361 samples/sec accuracy=70.938750 loss=1.171815 lr=0.005997 Epoch[171] Batch [2549]/[3759] Speed: 61.853072 samples/sec accuracy=70.922794 loss=1.172266 lr=0.005991 Epoch[171] Batch [2599]/[3759] Speed: 61.769617 samples/sec accuracy=70.878005 loss=1.173945 lr=0.005984 Epoch[171] Batch [2649]/[3759] Speed: 61.406827 samples/sec accuracy=70.876769 loss=1.174363 lr=0.005978 Epoch[171] Batch [2699]/[3759] Speed: 61.865657 samples/sec accuracy=70.905093 loss=1.173204 lr=0.005971 Epoch[171] Batch [2749]/[3759] Speed: 61.937143 samples/sec accuracy=70.892614 loss=1.173789 lr=0.005965 Epoch[171] Batch [2799]/[3759] Speed: 61.853803 samples/sec accuracy=70.866071 loss=1.174633 lr=0.005958 Epoch[171] Batch [2849]/[3759] Speed: 61.653825 samples/sec accuracy=70.868969 loss=1.174564 lr=0.005952 Epoch[171] Batch [2899]/[3759] Speed: 60.870020 samples/sec accuracy=70.843211 loss=1.175346 lr=0.005946 Epoch[171] Batch [2949]/[3759] Speed: 62.680495 samples/sec accuracy=70.830508 loss=1.175340 lr=0.005939 Epoch[171] Batch [2999]/[3759] Speed: 62.166025 samples/sec accuracy=70.831250 loss=1.175727 lr=0.005933 Epoch[171] Batch [3049]/[3759] Speed: 62.276109 samples/sec accuracy=70.835553 loss=1.175483 lr=0.005926 Epoch[171] Batch [3099]/[3759] Speed: 61.913851 samples/sec accuracy=70.842742 loss=1.175385 lr=0.005920 Epoch[171] Batch [3149]/[3759] Speed: 62.294052 samples/sec accuracy=70.828869 loss=1.176222 lr=0.005914 Epoch[171] Batch [3199]/[3759] Speed: 61.011565 samples/sec accuracy=70.818848 loss=1.176370 lr=0.005907 Epoch[171] Batch [3249]/[3759] Speed: 62.808199 samples/sec accuracy=70.805288 loss=1.177154 lr=0.005901 Epoch[171] Batch [3299]/[3759] Speed: 61.601699 samples/sec accuracy=70.794508 loss=1.177770 lr=0.005894 Epoch[171] Batch [3349]/[3759] Speed: 62.608260 samples/sec accuracy=70.791978 loss=1.178015 lr=0.005888 Epoch[171] Batch [3399]/[3759] Speed: 61.701915 samples/sec accuracy=70.774357 loss=1.178896 lr=0.005882 Epoch[171] Batch [3449]/[3759] Speed: 61.236987 samples/sec accuracy=70.764493 loss=1.179039 lr=0.005875 Epoch[171] Batch [3499]/[3759] Speed: 61.639681 samples/sec accuracy=70.756250 loss=1.179399 lr=0.005869 Epoch[171] Batch [3549]/[3759] Speed: 62.349747 samples/sec accuracy=70.775968 loss=1.178978 lr=0.005862 Epoch[171] Batch [3599]/[3759] Speed: 61.979855 samples/sec accuracy=70.776042 loss=1.178953 lr=0.005856 Epoch[171] Batch [3649]/[3759] Speed: 62.801055 samples/sec accuracy=70.768836 loss=1.178989 lr=0.005850 Epoch[171] Batch [3699]/[3759] Speed: 60.450451 samples/sec accuracy=70.771115 loss=1.178952 lr=0.005843 Epoch[171] Batch [3749]/[3759] Speed: 68.152032 samples/sec accuracy=70.741250 loss=1.180157 lr=0.005837 Batch [0049]/[0303]: acc-top1=66.062500 acc-top5=85.500000 Batch [0099]/[0303]: acc-top1=66.312500 acc-top5=85.890625 Batch [0149]/[0303]: acc-top1=65.427083 acc-top5=85.968750 Batch [0199]/[0303]: acc-top1=65.656250 acc-top5=86.078125 Batch [0249]/[0303]: acc-top1=65.393750 acc-top5=85.887500 Batch [0299]/[0303]: acc-top1=65.437500 acc-top5=86.119792 [Epoch 171] training: accuracy=70.737729 loss=1.180129 [Epoch 171] speed: 61 samples/sec time cost: 4201.685967 [Epoch 171] validation: acc-top1=65.403259 acc-top5=86.061262 loss=1.651433 Epoch[172] Batch [0049]/[3760] Speed: 42.859914 samples/sec accuracy=71.718750 loss=1.129805 lr=0.005829 Epoch[172] Batch [0099]/[3760] Speed: 60.033679 samples/sec accuracy=71.703125 loss=1.123413 lr=0.005823 Epoch[172] Batch [0149]/[3760] Speed: 60.846724 samples/sec accuracy=71.677083 loss=1.131509 lr=0.005817 Epoch[172] Batch [0199]/[3760] Speed: 61.326914 samples/sec accuracy=72.101562 loss=1.125249 lr=0.005810 Epoch[172] Batch [0249]/[3760] Speed: 61.229059 samples/sec accuracy=72.056250 loss=1.131006 lr=0.005804 Epoch[172] Batch [0299]/[3760] Speed: 61.408694 samples/sec accuracy=71.890625 loss=1.134313 lr=0.005798 Epoch[172] Batch [0349]/[3760] Speed: 62.278732 samples/sec accuracy=71.950893 loss=1.128831 lr=0.005791 Epoch[172] Batch [0399]/[3760] Speed: 61.285150 samples/sec accuracy=71.917969 loss=1.130806 lr=0.005785 Epoch[172] Batch 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accuracy=71.491319 loss=1.140011 lr=0.005722 Epoch[172] Batch [0949]/[3760] Speed: 62.376618 samples/sec accuracy=71.460526 loss=1.140590 lr=0.005716 Epoch[172] Batch [0999]/[3760] Speed: 62.276008 samples/sec accuracy=71.473438 loss=1.140105 lr=0.005709 Epoch[172] Batch [1049]/[3760] Speed: 61.837816 samples/sec accuracy=71.495536 loss=1.139119 lr=0.005703 Epoch[172] Batch [1099]/[3760] Speed: 62.310257 samples/sec accuracy=71.521307 loss=1.139070 lr=0.005697 Epoch[172] Batch [1149]/[3760] Speed: 62.111876 samples/sec accuracy=71.567935 loss=1.138083 lr=0.005690 Epoch[172] Batch [1199]/[3760] Speed: 62.475005 samples/sec accuracy=71.537760 loss=1.139793 lr=0.005684 Epoch[172] Batch [1249]/[3760] Speed: 62.480640 samples/sec accuracy=71.482500 loss=1.142498 lr=0.005678 Epoch[172] Batch [1299]/[3760] Speed: 61.485728 samples/sec accuracy=71.454327 loss=1.143345 lr=0.005672 Epoch[172] Batch [1349]/[3760] Speed: 62.278080 samples/sec accuracy=71.391204 loss=1.145398 lr=0.005665 Epoch[172] 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accuracy=71.255912 loss=1.151871 lr=0.005603 Epoch[172] Batch [1899]/[3760] Speed: 62.319809 samples/sec accuracy=71.246711 loss=1.152727 lr=0.005597 Epoch[172] Batch [1949]/[3760] Speed: 62.763638 samples/sec accuracy=71.286058 loss=1.150816 lr=0.005590 Epoch[172] Batch [1999]/[3760] Speed: 61.950629 samples/sec accuracy=71.310156 loss=1.149828 lr=0.005584 Epoch[172] Batch [2049]/[3760] Speed: 62.288781 samples/sec accuracy=71.294970 loss=1.150280 lr=0.005578 Epoch[172] Batch [2099]/[3760] Speed: 62.176258 samples/sec accuracy=71.293899 loss=1.150157 lr=0.005572 Epoch[172] Batch [2149]/[3760] Speed: 62.010876 samples/sec accuracy=71.314680 loss=1.149079 lr=0.005565 Epoch[172] Batch [2199]/[3760] Speed: 62.143700 samples/sec accuracy=71.340199 loss=1.148756 lr=0.005559 Epoch[172] Batch [2249]/[3760] Speed: 61.852475 samples/sec accuracy=71.325694 loss=1.149397 lr=0.005553 Epoch[172] Batch [2299]/[3760] Speed: 62.219908 samples/sec accuracy=71.341712 loss=1.149764 lr=0.005547 Epoch[172] 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accuracy=71.261719 loss=1.153497 lr=0.005485 Epoch[172] Batch [2849]/[3760] Speed: 62.296925 samples/sec accuracy=71.258224 loss=1.153641 lr=0.005479 Epoch[172] Batch [2899]/[3760] Speed: 62.647523 samples/sec accuracy=71.265086 loss=1.153429 lr=0.005472 Epoch[172] Batch [2949]/[3760] Speed: 60.969371 samples/sec accuracy=71.248941 loss=1.153804 lr=0.005466 Epoch[172] Batch [2999]/[3760] Speed: 62.724877 samples/sec accuracy=71.221354 loss=1.154848 lr=0.005460 Epoch[172] Batch [3049]/[3760] Speed: 61.724321 samples/sec accuracy=71.216189 loss=1.155233 lr=0.005454 Epoch[172] Batch [3099]/[3760] Speed: 62.672807 samples/sec accuracy=71.231351 loss=1.154701 lr=0.005448 Epoch[172] Batch [3149]/[3760] Speed: 62.536077 samples/sec accuracy=71.239087 loss=1.154283 lr=0.005442 Epoch[172] Batch [3199]/[3760] Speed: 61.377225 samples/sec accuracy=71.236816 loss=1.154891 lr=0.005436 Epoch[172] Batch [3249]/[3760] Speed: 62.933681 samples/sec accuracy=71.244712 loss=1.154943 lr=0.005429 Epoch[172] 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accuracy=71.205417 loss=1.157589 lr=0.005368 Batch [0049]/[0303]: acc-top1=65.156250 acc-top5=85.812500 Batch [0099]/[0303]: acc-top1=65.781250 acc-top5=85.921875 Batch [0149]/[0303]: acc-top1=65.500000 acc-top5=85.750000 Batch [0199]/[0303]: acc-top1=65.804688 acc-top5=85.968750 Batch [0249]/[0303]: acc-top1=65.418750 acc-top5=85.887500 Batch [0299]/[0303]: acc-top1=65.380208 acc-top5=86.062500 [Epoch 172] training: accuracy=71.196809 loss=1.157682 [Epoch 172] speed: 61 samples/sec time cost: 4182.735016 [Epoch 172] validation: acc-top1=65.325908 acc-top5=86.014851 loss=1.642971 Epoch[173] Batch [0049]/[3760] Speed: 41.133615 samples/sec accuracy=72.718750 loss=1.076135 lr=0.005361 Epoch[173] Batch [0099]/[3760] Speed: 60.202309 samples/sec accuracy=71.640625 loss=1.123757 lr=0.005355 Epoch[173] Batch [0149]/[3760] Speed: 61.053806 samples/sec accuracy=71.531250 loss=1.137239 lr=0.005349 Epoch[173] Batch [0199]/[3760] Speed: 60.314486 samples/sec accuracy=71.546875 loss=1.137418 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lr=0.005227 Epoch[173] Batch [1199]/[3760] Speed: 61.261236 samples/sec accuracy=71.977865 loss=1.118759 lr=0.005221 Epoch[173] Batch [1249]/[3760] Speed: 61.695201 samples/sec accuracy=71.936250 loss=1.119863 lr=0.005215 Epoch[173] Batch [1299]/[3760] Speed: 61.815823 samples/sec accuracy=71.926683 loss=1.120950 lr=0.005209 Epoch[173] Batch [1349]/[3760] Speed: 61.947751 samples/sec accuracy=71.918981 loss=1.122968 lr=0.005203 Epoch[173] Batch [1399]/[3760] Speed: 60.579010 samples/sec accuracy=71.972098 loss=1.121133 lr=0.005197 Epoch[173] Batch [1449]/[3760] Speed: 63.013536 samples/sec accuracy=71.946121 loss=1.121468 lr=0.005191 Epoch[173] Batch [1499]/[3760] Speed: 62.065137 samples/sec accuracy=71.931250 loss=1.122174 lr=0.005185 Epoch[173] Batch [1549]/[3760] Speed: 61.724859 samples/sec accuracy=71.919355 loss=1.122835 lr=0.005179 Epoch[173] Batch [1599]/[3760] Speed: 62.240370 samples/sec accuracy=71.902344 loss=1.123546 lr=0.005173 Epoch[173] Batch [1649]/[3760] Speed: 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lr=0.005113 Epoch[173] Batch [2149]/[3760] Speed: 62.094605 samples/sec accuracy=71.971657 loss=1.124533 lr=0.005107 Epoch[173] Batch [2199]/[3760] Speed: 62.616665 samples/sec accuracy=71.995739 loss=1.123561 lr=0.005101 Epoch[173] Batch [2249]/[3760] Speed: 60.598464 samples/sec accuracy=71.982639 loss=1.124393 lr=0.005095 Epoch[173] Batch [2299]/[3760] Speed: 63.429742 samples/sec accuracy=71.956522 loss=1.125388 lr=0.005089 Epoch[173] Batch [2349]/[3760] Speed: 61.704743 samples/sec accuracy=71.936835 loss=1.125864 lr=0.005083 Epoch[173] Batch [2399]/[3760] Speed: 62.289718 samples/sec accuracy=71.932292 loss=1.125886 lr=0.005077 Epoch[173] Batch [2449]/[3760] Speed: 62.205572 samples/sec accuracy=71.924745 loss=1.126178 lr=0.005071 Epoch[173] Batch [2499]/[3760] Speed: 62.225024 samples/sec accuracy=71.906250 loss=1.126907 lr=0.005065 Epoch[173] Batch [2549]/[3760] Speed: 61.213531 samples/sec accuracy=71.895221 loss=1.127514 lr=0.005059 Epoch[173] Batch [2599]/[3760] Speed: 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lr=0.005000 Epoch[173] Batch [3099]/[3760] Speed: 61.834308 samples/sec accuracy=71.892137 loss=1.128055 lr=0.004994 Epoch[173] Batch [3149]/[3760] Speed: 61.543415 samples/sec accuracy=71.877976 loss=1.128662 lr=0.004988 Epoch[173] Batch [3199]/[3760] Speed: 61.750936 samples/sec accuracy=71.878418 loss=1.129282 lr=0.004982 Epoch[173] Batch [3249]/[3760] Speed: 62.226221 samples/sec accuracy=71.874519 loss=1.129471 lr=0.004977 Epoch[173] Batch [3299]/[3760] Speed: 62.263144 samples/sec accuracy=71.878788 loss=1.129825 lr=0.004971 Epoch[173] Batch [3349]/[3760] Speed: 62.332279 samples/sec accuracy=71.915578 loss=1.129132 lr=0.004965 Epoch[173] Batch [3399]/[3760] Speed: 60.315030 samples/sec accuracy=71.902574 loss=1.129324 lr=0.004959 Epoch[173] Batch [3449]/[3760] Speed: 63.434603 samples/sec accuracy=71.920290 loss=1.128677 lr=0.004953 Epoch[173] Batch [3499]/[3760] Speed: 62.172288 samples/sec accuracy=71.916071 loss=1.128777 lr=0.004947 Epoch[173] Batch [3549]/[3760] Speed: 62.324823 samples/sec accuracy=71.912852 loss=1.128360 lr=0.004941 Epoch[173] Batch [3599]/[3760] Speed: 61.973461 samples/sec accuracy=71.913194 loss=1.128285 lr=0.004935 Epoch[173] Batch [3649]/[3760] Speed: 61.558556 samples/sec accuracy=71.929795 loss=1.128186 lr=0.004929 Epoch[173] Batch [3699]/[3760] Speed: 61.320932 samples/sec accuracy=71.927365 loss=1.128247 lr=0.004924 Epoch[173] Batch [3749]/[3760] Speed: 67.326871 samples/sec accuracy=71.914167 loss=1.128600 lr=0.004918 Batch [0049]/[0303]: acc-top1=65.062500 acc-top5=85.906250 Batch [0099]/[0303]: acc-top1=66.250000 acc-top5=86.234375 Batch [0149]/[0303]: acc-top1=65.708333 acc-top5=86.062500 Batch [0199]/[0303]: acc-top1=65.960938 acc-top5=86.171875 Batch [0249]/[0303]: acc-top1=65.837500 acc-top5=86.187500 Batch [0299]/[0303]: acc-top1=66.000000 acc-top5=86.296875 [Epoch 173] training: accuracy=71.917387 loss=1.128564 [Epoch 173] speed: 61 samples/sec time cost: 4209.491826 [Epoch 173] validation: acc-top1=65.996287 acc-top5=86.267533 loss=1.621290 Epoch[174] Batch [0049]/[3759] Speed: 41.985466 samples/sec accuracy=73.125000 loss=1.085643 lr=0.004911 Epoch[174] Batch [0099]/[3759] Speed: 60.256869 samples/sec accuracy=73.359375 loss=1.065876 lr=0.004905 Epoch[174] Batch [0149]/[3759] Speed: 60.318456 samples/sec accuracy=73.697917 loss=1.060920 lr=0.004899 Epoch[174] Batch [0199]/[3759] Speed: 58.657711 samples/sec accuracy=73.617188 loss=1.052689 lr=0.004893 Epoch[174] Batch [0249]/[3759] Speed: 62.099010 samples/sec accuracy=73.581250 loss=1.059459 lr=0.004887 Epoch[174] Batch [0299]/[3759] Speed: 59.975249 samples/sec accuracy=73.562500 loss=1.060466 lr=0.004881 Epoch[174] Batch [0349]/[3759] Speed: 62.356308 samples/sec accuracy=73.388393 loss=1.071982 lr=0.004876 Epoch[174] Batch [0399]/[3759] Speed: 59.976057 samples/sec accuracy=73.265625 loss=1.072537 lr=0.004870 Epoch[174] Batch [0449]/[3759] Speed: 62.035053 samples/sec accuracy=73.190972 loss=1.076460 lr=0.004864 Epoch[174] Batch 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accuracy=73.078947 loss=1.076645 lr=0.004806 Epoch[174] Batch [0999]/[3759] Speed: 61.597170 samples/sec accuracy=73.121875 loss=1.076267 lr=0.004800 Epoch[174] Batch [1049]/[3759] Speed: 61.552129 samples/sec accuracy=73.089286 loss=1.078909 lr=0.004794 Epoch[174] Batch [1099]/[3759] Speed: 61.876681 samples/sec accuracy=73.072443 loss=1.079745 lr=0.004788 Epoch[174] Batch [1149]/[3759] Speed: 62.146142 samples/sec accuracy=73.052989 loss=1.081023 lr=0.004783 Epoch[174] Batch [1199]/[3759] Speed: 61.938558 samples/sec accuracy=73.029948 loss=1.081325 lr=0.004777 Epoch[174] Batch [1249]/[3759] Speed: 61.621918 samples/sec accuracy=73.005000 loss=1.083406 lr=0.004771 Epoch[174] Batch [1299]/[3759] Speed: 60.978888 samples/sec accuracy=72.992788 loss=1.084056 lr=0.004765 Epoch[174] Batch [1349]/[3759] Speed: 62.324560 samples/sec accuracy=72.927083 loss=1.084676 lr=0.004759 Epoch[174] Batch [1399]/[3759] Speed: 62.570028 samples/sec accuracy=72.878348 loss=1.085944 lr=0.004754 Epoch[174] 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accuracy=72.856908 loss=1.088460 lr=0.004696 Epoch[174] Batch [1949]/[3759] Speed: 62.325465 samples/sec accuracy=72.864583 loss=1.088704 lr=0.004690 Epoch[174] Batch [1999]/[3759] Speed: 62.188100 samples/sec accuracy=72.859375 loss=1.088454 lr=0.004685 Epoch[174] Batch [2049]/[3759] Speed: 62.061349 samples/sec accuracy=72.823171 loss=1.089698 lr=0.004679 Epoch[174] Batch [2099]/[3759] Speed: 62.160565 samples/sec accuracy=72.795387 loss=1.091323 lr=0.004673 Epoch[174] Batch [2149]/[3759] Speed: 61.131184 samples/sec accuracy=72.797965 loss=1.091189 lr=0.004668 Epoch[174] Batch [2199]/[3759] Speed: 62.221010 samples/sec accuracy=72.791903 loss=1.090883 lr=0.004662 Epoch[174] Batch [2249]/[3759] Speed: 61.369358 samples/sec accuracy=72.771528 loss=1.091754 lr=0.004656 Epoch[174] Batch [2299]/[3759] Speed: 62.242368 samples/sec accuracy=72.778533 loss=1.091934 lr=0.004650 Epoch[174] Batch [2349]/[3759] Speed: 62.240736 samples/sec accuracy=72.777261 loss=1.091556 lr=0.004645 Epoch[174] 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accuracy=72.657895 loss=1.096478 lr=0.004588 Epoch[174] Batch [2899]/[3759] Speed: 62.217814 samples/sec accuracy=72.623922 loss=1.097566 lr=0.004582 Epoch[174] Batch [2949]/[3759] Speed: 61.607948 samples/sec accuracy=72.602225 loss=1.098538 lr=0.004576 Epoch[174] Batch [2999]/[3759] Speed: 62.269306 samples/sec accuracy=72.589583 loss=1.098617 lr=0.004571 Epoch[174] Batch [3049]/[3759] Speed: 62.680736 samples/sec accuracy=72.574795 loss=1.098704 lr=0.004565 Epoch[174] Batch [3099]/[3759] Speed: 62.374783 samples/sec accuracy=72.588710 loss=1.098464 lr=0.004559 Epoch[174] Batch [3149]/[3759] Speed: 62.714041 samples/sec accuracy=72.589286 loss=1.098439 lr=0.004554 Epoch[174] Batch [3199]/[3759] Speed: 62.360431 samples/sec accuracy=72.607422 loss=1.098105 lr=0.004548 Epoch[174] Batch [3249]/[3759] Speed: 61.687581 samples/sec accuracy=72.606731 loss=1.097901 lr=0.004543 Epoch[174] Batch [3299]/[3759] Speed: 62.500835 samples/sec accuracy=72.621212 loss=1.097265 lr=0.004537 Epoch[174] Batch [3349]/[3759] Speed: 62.243347 samples/sec accuracy=72.625000 loss=1.097251 lr=0.004531 Epoch[174] Batch [3399]/[3759] Speed: 62.479757 samples/sec accuracy=72.633272 loss=1.096924 lr=0.004526 Epoch[174] Batch [3449]/[3759] Speed: 62.303220 samples/sec accuracy=72.642210 loss=1.096839 lr=0.004520 Epoch[174] Batch [3499]/[3759] Speed: 61.489765 samples/sec accuracy=72.622321 loss=1.097611 lr=0.004514 Epoch[174] Batch [3549]/[3759] Speed: 62.764908 samples/sec accuracy=72.610915 loss=1.098101 lr=0.004509 Epoch[174] Batch [3599]/[3759] Speed: 62.370432 samples/sec accuracy=72.592448 loss=1.098543 lr=0.004503 Epoch[174] Batch [3649]/[3759] Speed: 62.634250 samples/sec accuracy=72.595890 loss=1.098620 lr=0.004497 Epoch[174] Batch [3699]/[3759] Speed: 62.375226 samples/sec accuracy=72.580659 loss=1.099046 lr=0.004492 Epoch[174] Batch [3749]/[3759] Speed: 67.126111 samples/sec accuracy=72.571250 loss=1.099411 lr=0.004486 Batch [0049]/[0303]: acc-top1=66.343750 acc-top5=85.718750 Batch [0099]/[0303]: acc-top1=66.546875 acc-top5=86.406250 Batch [0149]/[0303]: acc-top1=66.125000 acc-top5=86.333333 Batch [0199]/[0303]: acc-top1=66.273438 acc-top5=86.398438 Batch [0249]/[0303]: acc-top1=66.050000 acc-top5=86.218750 Batch [0299]/[0303]: acc-top1=66.104167 acc-top5=86.395833 [Epoch 174] training: accuracy=72.571246 loss=1.099390 [Epoch 174] speed: 61 samples/sec time cost: 4199.646408 [Epoch 174] validation: acc-top1=66.032384 acc-top5=86.355198 loss=1.618075 Epoch[175] Batch [0049]/[3760] Speed: 41.035669 samples/sec accuracy=72.718750 loss=1.064010 lr=0.004480 Epoch[175] Batch [0099]/[3760] Speed: 60.515457 samples/sec accuracy=73.343750 loss=1.047389 lr=0.004474 Epoch[175] Batch [0149]/[3760] Speed: 61.007578 samples/sec accuracy=73.385417 loss=1.053892 lr=0.004468 Epoch[175] Batch [0199]/[3760] Speed: 60.395336 samples/sec accuracy=73.640625 loss=1.050272 lr=0.004463 Epoch[175] Batch [0249]/[3760] Speed: 62.066568 samples/sec accuracy=73.756250 loss=1.040018 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lr=0.004352 Epoch[175] Batch [1249]/[3760] Speed: 62.462692 samples/sec accuracy=73.306250 loss=1.060477 lr=0.004346 Epoch[175] Batch [1299]/[3760] Speed: 62.106511 samples/sec accuracy=73.308894 loss=1.060363 lr=0.004340 Epoch[175] Batch [1349]/[3760] Speed: 62.286334 samples/sec accuracy=73.327546 loss=1.060913 lr=0.004335 Epoch[175] Batch [1399]/[3760] Speed: 62.641563 samples/sec accuracy=73.330357 loss=1.060965 lr=0.004329 Epoch[175] Batch [1449]/[3760] Speed: 61.323127 samples/sec accuracy=73.301724 loss=1.062971 lr=0.004324 Epoch[175] Batch [1499]/[3760] Speed: 62.262165 samples/sec accuracy=73.308333 loss=1.062639 lr=0.004318 Epoch[175] Batch [1549]/[3760] Speed: 61.732196 samples/sec accuracy=73.285282 loss=1.063634 lr=0.004313 Epoch[175] Batch [1599]/[3760] Speed: 62.579967 samples/sec accuracy=73.269531 loss=1.064199 lr=0.004307 Epoch[175] Batch [1649]/[3760] Speed: 61.525074 samples/sec accuracy=73.255682 loss=1.064724 lr=0.004302 Epoch[175] Batch [1699]/[3760] Speed: 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lr=0.004247 Epoch[175] Batch [2199]/[3760] Speed: 62.617295 samples/sec accuracy=73.227983 loss=1.066081 lr=0.004242 Epoch[175] Batch [2249]/[3760] Speed: 61.998767 samples/sec accuracy=73.221528 loss=1.066533 lr=0.004236 Epoch[175] Batch [2299]/[3760] Speed: 61.098921 samples/sec accuracy=73.223505 loss=1.066907 lr=0.004231 Epoch[175] Batch [2349]/[3760] Speed: 63.413553 samples/sec accuracy=73.227394 loss=1.066779 lr=0.004225 Epoch[175] Batch [2399]/[3760] Speed: 62.252108 samples/sec accuracy=73.177734 loss=1.068867 lr=0.004220 Epoch[175] Batch [2449]/[3760] Speed: 61.863558 samples/sec accuracy=73.174107 loss=1.069177 lr=0.004214 Epoch[175] Batch [2499]/[3760] Speed: 62.372207 samples/sec accuracy=73.152500 loss=1.069479 lr=0.004209 Epoch[175] Batch [2549]/[3760] Speed: 62.173489 samples/sec accuracy=73.147672 loss=1.070064 lr=0.004203 Epoch[175] Batch [2599]/[3760] Speed: 61.174532 samples/sec accuracy=73.126803 loss=1.070809 lr=0.004198 Epoch[175] Batch [2649]/[3760] Speed: 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lr=0.004144 Epoch[175] Batch [3149]/[3760] Speed: 62.523528 samples/sec accuracy=73.183036 loss=1.069513 lr=0.004138 Epoch[175] Batch [3199]/[3760] Speed: 61.012158 samples/sec accuracy=73.181641 loss=1.069948 lr=0.004133 Epoch[175] Batch [3249]/[3760] Speed: 62.510830 samples/sec accuracy=73.180769 loss=1.069586 lr=0.004128 Epoch[175] Batch [3299]/[3760] Speed: 61.821564 samples/sec accuracy=73.190341 loss=1.069199 lr=0.004122 Epoch[175] Batch [3349]/[3760] Speed: 62.726925 samples/sec accuracy=73.195429 loss=1.068933 lr=0.004117 Epoch[175] Batch [3399]/[3760] Speed: 62.097368 samples/sec accuracy=73.189338 loss=1.069585 lr=0.004111 Epoch[175] Batch [3449]/[3760] Speed: 62.568551 samples/sec accuracy=73.202446 loss=1.069171 lr=0.004106 Epoch[175] Batch [3499]/[3760] Speed: 60.939686 samples/sec accuracy=73.195982 loss=1.069219 lr=0.004101 Epoch[175] Batch [3549]/[3760] Speed: 62.101642 samples/sec accuracy=73.186180 loss=1.069619 lr=0.004095 Epoch[175] Batch [3599]/[3760] Speed: 61.406393 samples/sec accuracy=73.197483 loss=1.069728 lr=0.004090 Epoch[175] Batch [3649]/[3760] Speed: 62.742903 samples/sec accuracy=73.196490 loss=1.069541 lr=0.004085 Epoch[175] Batch [3699]/[3760] Speed: 61.495896 samples/sec accuracy=73.209037 loss=1.069462 lr=0.004079 Epoch[175] Batch [3749]/[3760] Speed: 66.314006 samples/sec accuracy=73.211667 loss=1.069353 lr=0.004074 Batch [0049]/[0303]: acc-top1=66.625000 acc-top5=86.343750 Batch [0099]/[0303]: acc-top1=66.656250 acc-top5=86.125000 Batch [0149]/[0303]: acc-top1=66.218750 acc-top5=86.083333 Batch [0199]/[0303]: acc-top1=66.273438 acc-top5=86.179688 Batch [0249]/[0303]: acc-top1=65.893750 acc-top5=86.106250 Batch [0299]/[0303]: acc-top1=65.984375 acc-top5=86.385417 [Epoch 175] training: accuracy=73.206865 loss=1.069512 [Epoch 175] speed: 61 samples/sec time cost: 4197.842676 [Epoch 175] validation: acc-top1=65.924092 acc-top5=86.344884 loss=1.613963 Epoch[176] Batch [0049]/[3760] Speed: 41.500161 samples/sec accuracy=74.406250 loss=1.052118 lr=0.004067 Epoch[176] Batch [0099]/[3760] Speed: 60.490866 samples/sec accuracy=74.765625 loss=1.029237 lr=0.004062 Epoch[176] Batch [0149]/[3760] Speed: 61.153697 samples/sec accuracy=74.270833 loss=1.039804 lr=0.004057 Epoch[176] Batch [0199]/[3760] Speed: 61.382908 samples/sec accuracy=74.140625 loss=1.039730 lr=0.004051 Epoch[176] Batch [0249]/[3760] Speed: 61.817307 samples/sec accuracy=73.987500 loss=1.050996 lr=0.004046 Epoch[176] Batch [0299]/[3760] Speed: 60.876456 samples/sec accuracy=74.088542 loss=1.042192 lr=0.004041 Epoch[176] Batch [0349]/[3760] Speed: 61.911655 samples/sec accuracy=73.933036 loss=1.046188 lr=0.004035 Epoch[176] Batch [0399]/[3760] Speed: 61.366122 samples/sec accuracy=73.812500 loss=1.049270 lr=0.004030 Epoch[176] Batch [0449]/[3760] Speed: 62.475985 samples/sec accuracy=73.715278 loss=1.050219 lr=0.004025 Epoch[176] Batch [0499]/[3760] Speed: 61.886262 samples/sec accuracy=73.693750 loss=1.050763 lr=0.004019 Epoch[176] 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accuracy=73.881250 loss=1.041009 lr=0.003966 Epoch[176] Batch [1049]/[3760] Speed: 62.718598 samples/sec accuracy=73.880952 loss=1.041480 lr=0.003961 Epoch[176] Batch [1099]/[3760] Speed: 60.712813 samples/sec accuracy=73.867898 loss=1.041130 lr=0.003956 Epoch[176] Batch [1149]/[3760] Speed: 63.118166 samples/sec accuracy=73.876359 loss=1.040555 lr=0.003950 Epoch[176] Batch [1199]/[3760] Speed: 62.061354 samples/sec accuracy=73.933594 loss=1.038981 lr=0.003945 Epoch[176] Batch [1249]/[3760] Speed: 63.088876 samples/sec accuracy=73.930000 loss=1.038162 lr=0.003940 Epoch[176] Batch [1299]/[3760] Speed: 62.243778 samples/sec accuracy=73.980769 loss=1.036360 lr=0.003935 Epoch[176] Batch [1349]/[3760] Speed: 61.792733 samples/sec accuracy=73.969907 loss=1.036865 lr=0.003929 Epoch[176] Batch [1399]/[3760] Speed: 61.119584 samples/sec accuracy=74.007812 loss=1.035752 lr=0.003924 Epoch[176] Batch [1449]/[3760] Speed: 62.754057 samples/sec accuracy=74.037716 loss=1.035075 lr=0.003919 Epoch[176] 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accuracy=74.018429 loss=1.035505 lr=0.003866 Epoch[176] Batch [1999]/[3760] Speed: 62.597236 samples/sec accuracy=74.011719 loss=1.036555 lr=0.003861 Epoch[176] Batch [2049]/[3760] Speed: 61.632133 samples/sec accuracy=74.014482 loss=1.036507 lr=0.003856 Epoch[176] Batch [2099]/[3760] Speed: 62.906306 samples/sec accuracy=73.997768 loss=1.037092 lr=0.003851 Epoch[176] Batch [2149]/[3760] Speed: 62.135370 samples/sec accuracy=74.005087 loss=1.036910 lr=0.003846 Epoch[176] Batch [2199]/[3760] Speed: 60.882542 samples/sec accuracy=74.017756 loss=1.036269 lr=0.003840 Epoch[176] Batch [2249]/[3760] Speed: 62.700944 samples/sec accuracy=74.022917 loss=1.036326 lr=0.003835 Epoch[176] Batch [2299]/[3760] Speed: 62.331179 samples/sec accuracy=74.038723 loss=1.035881 lr=0.003830 Epoch[176] Batch [2349]/[3760] Speed: 61.963074 samples/sec accuracy=74.037899 loss=1.036105 lr=0.003825 Epoch[176] Batch [2399]/[3760] Speed: 62.179946 samples/sec accuracy=74.024740 loss=1.036482 lr=0.003819 Epoch[176] 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accuracy=74.057112 loss=1.036757 lr=0.003768 Epoch[176] Batch [2949]/[3760] Speed: 62.298847 samples/sec accuracy=74.063030 loss=1.036596 lr=0.003763 Epoch[176] Batch [2999]/[3760] Speed: 61.696650 samples/sec accuracy=74.044792 loss=1.036693 lr=0.003757 Epoch[176] Batch [3049]/[3760] Speed: 61.726461 samples/sec accuracy=74.037398 loss=1.036758 lr=0.003752 Epoch[176] Batch [3099]/[3760] Speed: 61.565100 samples/sec accuracy=74.033770 loss=1.036804 lr=0.003747 Epoch[176] Batch [3149]/[3760] Speed: 62.140463 samples/sec accuracy=74.026786 loss=1.037712 lr=0.003742 Epoch[176] Batch [3199]/[3760] Speed: 61.488673 samples/sec accuracy=74.015137 loss=1.038148 lr=0.003737 Epoch[176] Batch [3249]/[3760] Speed: 62.465085 samples/sec accuracy=74.023077 loss=1.037897 lr=0.003732 Epoch[176] Batch [3299]/[3760] Speed: 61.634273 samples/sec accuracy=74.013258 loss=1.038451 lr=0.003727 Epoch[176] Batch [3349]/[3760] Speed: 61.670537 samples/sec accuracy=74.026119 loss=1.037972 lr=0.003721 Epoch[176] Batch [3399]/[3760] Speed: 61.897071 samples/sec accuracy=74.017923 loss=1.037747 lr=0.003716 Epoch[176] Batch [3449]/[3760] Speed: 62.091010 samples/sec accuracy=74.016757 loss=1.037772 lr=0.003711 Epoch[176] Batch [3499]/[3760] Speed: 62.024746 samples/sec accuracy=74.008929 loss=1.038017 lr=0.003706 Epoch[176] Batch [3549]/[3760] Speed: 62.365903 samples/sec accuracy=73.985915 loss=1.038759 lr=0.003701 Epoch[176] Batch [3599]/[3760] Speed: 61.360905 samples/sec accuracy=73.979167 loss=1.038850 lr=0.003696 Epoch[176] Batch [3649]/[3760] Speed: 62.734977 samples/sec accuracy=73.979452 loss=1.038728 lr=0.003691 Epoch[176] Batch [3699]/[3760] Speed: 62.318242 samples/sec accuracy=73.989865 loss=1.038721 lr=0.003686 Epoch[176] Batch [3749]/[3760] Speed: 67.038064 samples/sec accuracy=74.012917 loss=1.038506 lr=0.003680 Batch [0049]/[0303]: acc-top1=66.031250 acc-top5=85.812500 Batch [0099]/[0303]: acc-top1=66.500000 acc-top5=86.078125 Batch [0149]/[0303]: acc-top1=66.416667 acc-top5=86.020833 Batch [0199]/[0303]: acc-top1=66.585938 acc-top5=86.242188 Batch [0249]/[0303]: acc-top1=66.387500 acc-top5=86.281250 Batch [0299]/[0303]: acc-top1=66.619792 acc-top5=86.442708 [Epoch 176] training: accuracy=74.020113 loss=1.038312 [Epoch 176] speed: 61 samples/sec time cost: 4193.506240 [Epoch 176] validation: acc-top1=66.568688 acc-top5=86.396452 loss=1.573755 Epoch[177] Batch [0049]/[3759] Speed: 41.194396 samples/sec accuracy=75.062500 loss=1.023656 lr=0.003674 Epoch[177] Batch [0099]/[3759] Speed: 60.122988 samples/sec accuracy=74.640625 loss=1.024962 lr=0.003669 Epoch[177] Batch [0149]/[3759] Speed: 60.606407 samples/sec accuracy=74.885417 loss=1.010592 lr=0.003664 Epoch[177] Batch [0199]/[3759] Speed: 60.871993 samples/sec accuracy=74.562500 loss=1.025450 lr=0.003659 Epoch[177] Batch [0249]/[3759] Speed: 62.326750 samples/sec accuracy=74.631250 loss=1.021565 lr=0.003654 Epoch[177] Batch [0299]/[3759] Speed: 61.227928 samples/sec accuracy=74.760417 loss=1.008508 lr=0.003649 Epoch[177] Batch [0349]/[3759] Speed: 62.541317 samples/sec accuracy=74.741071 loss=1.012154 lr=0.003644 Epoch[177] Batch [0399]/[3759] Speed: 60.546842 samples/sec accuracy=74.804688 loss=1.006190 lr=0.003639 Epoch[177] Batch [0449]/[3759] Speed: 62.563298 samples/sec accuracy=74.913194 loss=1.005058 lr=0.003634 Epoch[177] Batch [0499]/[3759] Speed: 61.552369 samples/sec accuracy=75.003125 loss=1.001060 lr=0.003629 Epoch[177] Batch [0549]/[3759] Speed: 62.290820 samples/sec accuracy=74.900568 loss=1.003294 lr=0.003624 Epoch[177] Batch [0599]/[3759] Speed: 61.754732 samples/sec accuracy=75.013021 loss=0.998351 lr=0.003618 Epoch[177] Batch [0649]/[3759] Speed: 62.314717 samples/sec accuracy=74.889423 loss=1.002208 lr=0.003613 Epoch[177] Batch [0699]/[3759] Speed: 60.547934 samples/sec accuracy=74.906250 loss=1.001547 lr=0.003608 Epoch[177] Batch [0749]/[3759] Speed: 62.539274 samples/sec accuracy=74.912500 loss=1.000674 lr=0.003603 Epoch[177] Batch 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accuracy=74.777500 loss=1.007089 lr=0.003553 Epoch[177] Batch [1299]/[3759] Speed: 61.344834 samples/sec accuracy=74.800481 loss=1.007396 lr=0.003548 Epoch[177] Batch [1349]/[3759] Speed: 62.315246 samples/sec accuracy=74.843750 loss=1.006721 lr=0.003543 Epoch[177] Batch [1399]/[3759] Speed: 61.612672 samples/sec accuracy=74.820312 loss=1.007154 lr=0.003538 Epoch[177] Batch [1449]/[3759] Speed: 62.337239 samples/sec accuracy=74.850216 loss=1.006668 lr=0.003533 Epoch[177] Batch [1499]/[3759] Speed: 60.729387 samples/sec accuracy=74.871875 loss=1.006109 lr=0.003528 Epoch[177] Batch [1549]/[3759] Speed: 62.993926 samples/sec accuracy=74.899194 loss=1.005964 lr=0.003523 Epoch[177] Batch [1599]/[3759] Speed: 62.187994 samples/sec accuracy=74.905273 loss=1.006769 lr=0.003518 Epoch[177] Batch [1649]/[3759] Speed: 62.185388 samples/sec accuracy=74.903409 loss=1.006696 lr=0.003513 Epoch[177] Batch [1699]/[3759] Speed: 62.113643 samples/sec accuracy=74.896140 loss=1.006782 lr=0.003508 Epoch[177] 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accuracy=74.813920 loss=1.008905 lr=0.003458 Epoch[177] Batch [2249]/[3759] Speed: 62.108009 samples/sec accuracy=74.833333 loss=1.008042 lr=0.003453 Epoch[177] Batch [2299]/[3759] Speed: 62.879085 samples/sec accuracy=74.805707 loss=1.009149 lr=0.003448 Epoch[177] Batch [2349]/[3759] Speed: 60.729077 samples/sec accuracy=74.791223 loss=1.009355 lr=0.003443 Epoch[177] Batch [2399]/[3759] Speed: 62.490453 samples/sec accuracy=74.791667 loss=1.008819 lr=0.003439 Epoch[177] Batch [2449]/[3759] Speed: 62.015530 samples/sec accuracy=74.758929 loss=1.010150 lr=0.003434 Epoch[177] Batch [2499]/[3759] Speed: 62.352659 samples/sec accuracy=74.729375 loss=1.011286 lr=0.003429 Epoch[177] Batch [2549]/[3759] Speed: 61.675716 samples/sec accuracy=74.745711 loss=1.010352 lr=0.003424 Epoch[177] Batch [2599]/[3759] Speed: 62.510380 samples/sec accuracy=74.743990 loss=1.010199 lr=0.003419 Epoch[177] Batch [2649]/[3759] Speed: 61.173061 samples/sec accuracy=74.745873 loss=1.010025 lr=0.003414 Epoch[177] 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accuracy=74.739583 loss=1.009715 lr=0.003365 Epoch[177] Batch [3199]/[3759] Speed: 61.454944 samples/sec accuracy=74.747559 loss=1.010052 lr=0.003360 Epoch[177] Batch [3249]/[3759] Speed: 62.569783 samples/sec accuracy=74.736058 loss=1.010662 lr=0.003355 Epoch[177] Batch [3299]/[3759] Speed: 61.892742 samples/sec accuracy=74.725852 loss=1.011208 lr=0.003350 Epoch[177] Batch [3349]/[3759] Speed: 62.670184 samples/sec accuracy=74.748134 loss=1.010514 lr=0.003345 Epoch[177] Batch [3399]/[3759] Speed: 62.072797 samples/sec accuracy=74.747702 loss=1.010267 lr=0.003340 Epoch[177] Batch [3449]/[3759] Speed: 59.816550 samples/sec accuracy=74.739583 loss=1.010230 lr=0.003336 Epoch[177] Batch [3499]/[3759] Speed: 62.895031 samples/sec accuracy=74.738393 loss=1.010284 lr=0.003331 Epoch[177] Batch [3549]/[3759] Speed: 62.027970 samples/sec accuracy=74.737236 loss=1.010060 lr=0.003326 Epoch[177] Batch [3599]/[3759] Speed: 61.933200 samples/sec accuracy=74.741319 loss=1.010193 lr=0.003321 Epoch[177] Batch [3649]/[3759] Speed: 61.932596 samples/sec accuracy=74.724743 loss=1.010913 lr=0.003316 Epoch[177] Batch [3699]/[3759] Speed: 62.329325 samples/sec accuracy=74.745355 loss=1.010479 lr=0.003311 Epoch[177] Batch [3749]/[3759] Speed: 65.577074 samples/sec accuracy=74.741250 loss=1.010567 lr=0.003306 Batch [0049]/[0303]: acc-top1=67.156250 acc-top5=86.375000 Batch [0099]/[0303]: acc-top1=67.375000 acc-top5=86.812500 Batch [0149]/[0303]: acc-top1=66.979167 acc-top5=86.677083 Batch [0199]/[0303]: acc-top1=67.421875 acc-top5=86.804688 Batch [0249]/[0303]: acc-top1=67.193750 acc-top5=86.712500 Batch [0299]/[0303]: acc-top1=67.239583 acc-top5=86.875000 [Epoch 177] training: accuracy=74.746442 loss=1.010341 [Epoch 177] speed: 61 samples/sec time cost: 4196.276271 [Epoch 177] validation: acc-top1=67.182343 acc-top5=86.808993 loss=1.572248 Epoch[178] Batch [0049]/[3760] Speed: 41.043544 samples/sec accuracy=76.687500 loss=0.943885 lr=0.003301 Epoch[178] Batch [0099]/[3760] Speed: 60.564817 samples/sec accuracy=76.062500 loss=0.954143 lr=0.003296 Epoch[178] Batch [0149]/[3760] Speed: 61.276681 samples/sec accuracy=76.177083 loss=0.952881 lr=0.003291 Epoch[178] Batch [0199]/[3760] Speed: 60.942785 samples/sec accuracy=76.007812 loss=0.963152 lr=0.003286 Epoch[178] Batch [0249]/[3760] Speed: 60.623077 samples/sec accuracy=76.050000 loss=0.965049 lr=0.003281 Epoch[178] Batch [0299]/[3760] Speed: 61.664751 samples/sec accuracy=75.963542 loss=0.964721 lr=0.003277 Epoch[178] Batch [0349]/[3760] Speed: 62.349161 samples/sec accuracy=75.839286 loss=0.969990 lr=0.003272 Epoch[178] Batch [0399]/[3760] Speed: 61.020159 samples/sec accuracy=75.718750 loss=0.967512 lr=0.003267 Epoch[178] Batch [0449]/[3760] Speed: 62.323726 samples/sec accuracy=75.666667 loss=0.969771 lr=0.003262 Epoch[178] Batch [0499]/[3760] Speed: 61.507013 samples/sec accuracy=75.650000 loss=0.970662 lr=0.003257 Epoch[178] Batch [0549]/[3760] Speed: 61.812724 samples/sec accuracy=75.636364 loss=0.970221 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lr=0.002984 Epoch[178] Batch [3449]/[3760] Speed: 59.338890 samples/sec accuracy=75.298913 loss=0.986256 lr=0.002980 Epoch[178] Batch [3499]/[3760] Speed: 61.948549 samples/sec accuracy=75.283482 loss=0.987284 lr=0.002975 Epoch[178] Batch [3549]/[3760] Speed: 60.904123 samples/sec accuracy=75.311180 loss=0.986376 lr=0.002970 Epoch[178] Batch [3599]/[3760] Speed: 61.948839 samples/sec accuracy=75.316406 loss=0.986558 lr=0.002966 Epoch[178] Batch [3649]/[3760] Speed: 59.979946 samples/sec accuracy=75.323630 loss=0.986403 lr=0.002961 Epoch[178] Batch [3699]/[3760] Speed: 61.797811 samples/sec accuracy=75.340794 loss=0.985824 lr=0.002957 Epoch[178] Batch [3749]/[3760] Speed: 66.389409 samples/sec accuracy=75.341667 loss=0.986475 lr=0.002952 Batch [0049]/[0303]: acc-top1=67.687500 acc-top5=86.437500 Batch [0099]/[0303]: acc-top1=67.500000 acc-top5=86.687500 Batch [0149]/[0303]: acc-top1=67.062500 acc-top5=86.614583 Batch [0199]/[0303]: acc-top1=67.250000 acc-top5=86.867188 Batch [0249]/[0303]: acc-top1=67.037500 acc-top5=86.725000 Batch [0299]/[0303]: acc-top1=67.119792 acc-top5=86.916667 [Epoch 178] training: accuracy=75.337849 loss=0.986621 [Epoch 178] speed: 61 samples/sec time cost: 4216.635625 [Epoch 178] validation: acc-top1=67.079208 acc-top5=86.876031 loss=1.569310 Epoch[179] Batch [0049]/[3760] Speed: 41.139075 samples/sec accuracy=76.093750 loss=0.946467 lr=0.002946 Epoch[179] Batch [0099]/[3760] Speed: 60.661505 samples/sec accuracy=76.609375 loss=0.936270 lr=0.002942 Epoch[179] Batch [0149]/[3760] Speed: 60.091895 samples/sec accuracy=76.427083 loss=0.946037 lr=0.002937 Epoch[179] Batch [0199]/[3760] Speed: 60.465272 samples/sec accuracy=76.601562 loss=0.932088 lr=0.002933 Epoch[179] Batch [0249]/[3760] Speed: 61.632706 samples/sec accuracy=76.706250 loss=0.923810 lr=0.002928 Epoch[179] Batch [0299]/[3760] Speed: 60.733010 samples/sec accuracy=76.562500 loss=0.926714 lr=0.002924 Epoch[179] Batch [0349]/[3760] Speed: 61.896497 samples/sec accuracy=76.500000 loss=0.935791 lr=0.002919 Epoch[179] Batch [0399]/[3760] Speed: 61.071584 samples/sec accuracy=76.445312 loss=0.937588 lr=0.002914 Epoch[179] Batch [0449]/[3760] Speed: 61.851347 samples/sec accuracy=76.347222 loss=0.940594 lr=0.002910 Epoch[179] Batch [0499]/[3760] Speed: 61.637869 samples/sec accuracy=76.237500 loss=0.945220 lr=0.002905 Epoch[179] Batch [0549]/[3760] Speed: 62.722065 samples/sec accuracy=76.156250 loss=0.947390 lr=0.002901 Epoch[179] Batch [0599]/[3760] Speed: 61.479123 samples/sec accuracy=76.143229 loss=0.947592 lr=0.002896 Epoch[179] Batch [0649]/[3760] Speed: 62.413343 samples/sec accuracy=76.127404 loss=0.948966 lr=0.002892 Epoch[179] Batch [0699]/[3760] Speed: 61.098296 samples/sec accuracy=75.968750 loss=0.955465 lr=0.002887 Epoch[179] Batch [0749]/[3760] Speed: 62.850804 samples/sec accuracy=75.987500 loss=0.954821 lr=0.002883 Epoch[179] Batch [0799]/[3760] Speed: 61.929970 samples/sec accuracy=75.929688 loss=0.956042 lr=0.002878 Epoch[179] 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accuracy=75.872596 loss=0.959401 lr=0.002833 Epoch[179] Batch [1349]/[3760] Speed: 62.647229 samples/sec accuracy=75.900463 loss=0.958520 lr=0.002829 Epoch[179] Batch [1399]/[3760] Speed: 62.381225 samples/sec accuracy=75.925223 loss=0.957609 lr=0.002824 Epoch[179] Batch [1449]/[3760] Speed: 62.384068 samples/sec accuracy=75.942888 loss=0.956816 lr=0.002820 Epoch[179] Batch [1499]/[3760] Speed: 62.347798 samples/sec accuracy=75.926042 loss=0.957461 lr=0.002815 Epoch[179] Batch [1549]/[3760] Speed: 61.709834 samples/sec accuracy=75.908266 loss=0.956989 lr=0.002811 Epoch[179] Batch [1599]/[3760] Speed: 62.522636 samples/sec accuracy=75.920898 loss=0.956782 lr=0.002806 Epoch[179] Batch [1649]/[3760] Speed: 62.301378 samples/sec accuracy=75.941288 loss=0.955939 lr=0.002802 Epoch[179] Batch [1699]/[3760] Speed: 61.885616 samples/sec accuracy=75.901654 loss=0.957148 lr=0.002797 Epoch[179] Batch [1749]/[3760] Speed: 62.746061 samples/sec accuracy=75.902679 loss=0.957725 lr=0.002793 Epoch[179] 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accuracy=76.002083 loss=0.955276 lr=0.002748 Epoch[179] Batch [2299]/[3760] Speed: 59.648519 samples/sec accuracy=76.016984 loss=0.954908 lr=0.002744 Epoch[179] Batch [2349]/[3760] Speed: 60.876786 samples/sec accuracy=76.025266 loss=0.954335 lr=0.002739 Epoch[179] Batch [2399]/[3760] Speed: 58.640644 samples/sec accuracy=76.042318 loss=0.954196 lr=0.002735 Epoch[179] Batch [2449]/[3760] Speed: 60.328721 samples/sec accuracy=76.016582 loss=0.955279 lr=0.002731 Epoch[179] Batch [2499]/[3760] Speed: 61.158399 samples/sec accuracy=76.011875 loss=0.955540 lr=0.002726 Epoch[179] Batch [2549]/[3760] Speed: 59.832573 samples/sec accuracy=76.041667 loss=0.954990 lr=0.002722 Epoch[179] Batch [2599]/[3760] Speed: 61.638596 samples/sec accuracy=76.047476 loss=0.954377 lr=0.002717 Epoch[179] Batch [2649]/[3760] Speed: 59.914823 samples/sec accuracy=76.054245 loss=0.953664 lr=0.002713 Epoch[179] Batch [2699]/[3760] Speed: 61.649055 samples/sec accuracy=76.058449 loss=0.953961 lr=0.002709 Epoch[179] Batch [2749]/[3760] Speed: 60.257412 samples/sec accuracy=76.062500 loss=0.954021 lr=0.002704 Epoch[179] Batch [2799]/[3760] Speed: 61.993476 samples/sec accuracy=76.092076 loss=0.953281 lr=0.002700 Epoch[179] Batch [2849]/[3760] Speed: 59.957883 samples/sec accuracy=76.095943 loss=0.952819 lr=0.002695 Epoch[179] Batch [2899]/[3760] Speed: 62.678556 samples/sec accuracy=76.095905 loss=0.953093 lr=0.002691 Epoch[179] Batch [2949]/[3760] Speed: 58.690805 samples/sec accuracy=76.094280 loss=0.953645 lr=0.002687 Epoch[179] Batch [2999]/[3760] Speed: 62.955322 samples/sec accuracy=76.082813 loss=0.953713 lr=0.002682 Epoch[179] Batch [3049]/[3760] Speed: 60.165173 samples/sec accuracy=76.074283 loss=0.954474 lr=0.002678 Epoch[179] Batch [3099]/[3760] Speed: 61.784618 samples/sec accuracy=76.079133 loss=0.954363 lr=0.002673 Epoch[179] Batch [3149]/[3760] Speed: 60.836409 samples/sec accuracy=76.083333 loss=0.954251 lr=0.002669 Epoch[179] Batch [3199]/[3760] Speed: 61.776455 samples/sec accuracy=76.079102 loss=0.954581 lr=0.002665 Epoch[179] Batch [3249]/[3760] Speed: 59.848714 samples/sec accuracy=76.079327 loss=0.954355 lr=0.002660 Epoch[179] Batch [3299]/[3760] Speed: 62.455703 samples/sec accuracy=76.065814 loss=0.954818 lr=0.002656 Epoch[179] Batch [3349]/[3760] Speed: 61.854821 samples/sec accuracy=76.065765 loss=0.955058 lr=0.002652 Epoch[179] Batch [3399]/[3760] Speed: 61.596822 samples/sec accuracy=76.054228 loss=0.955927 lr=0.002647 Epoch[179] Batch [3449]/[3760] Speed: 61.708642 samples/sec accuracy=76.032609 loss=0.956802 lr=0.002643 Epoch[179] Batch [3499]/[3760] Speed: 62.188642 samples/sec accuracy=76.031696 loss=0.956797 lr=0.002639 Epoch[179] Batch [3549]/[3760] Speed: 61.472603 samples/sec accuracy=76.032130 loss=0.957020 lr=0.002634 Epoch[179] Batch [3599]/[3760] Speed: 61.737487 samples/sec accuracy=76.021701 loss=0.957307 lr=0.002630 Epoch[179] Batch [3649]/[3760] Speed: 62.427423 samples/sec accuracy=76.018408 loss=0.956947 lr=0.002626 Epoch[179] Batch [3699]/[3760] Speed: 61.729686 samples/sec accuracy=76.004645 loss=0.957221 lr=0.002621 Epoch[179] Batch [3749]/[3760] Speed: 67.353618 samples/sec accuracy=75.987083 loss=0.957728 lr=0.002617 Batch [0049]/[0303]: acc-top1=66.593750 acc-top5=86.750000 Batch [0099]/[0303]: acc-top1=67.078125 acc-top5=86.843750 Batch [0149]/[0303]: acc-top1=66.614583 acc-top5=86.739583 Batch [0199]/[0303]: acc-top1=67.046875 acc-top5=86.789062 Batch [0249]/[0303]: acc-top1=66.925000 acc-top5=86.631250 Batch [0299]/[0303]: acc-top1=66.979167 acc-top5=86.765625 [Epoch 179] training: accuracy=75.982796 loss=0.957884 [Epoch 179] speed: 61 samples/sec time cost: 4219.250496 [Epoch 179] validation: acc-top1=66.934818 acc-top5=86.716172 loss=1.568301 Epoch[180] Batch [0049]/[3759] Speed: 40.631618 samples/sec accuracy=77.437500 loss=0.927129 lr=0.002612 Epoch[180] Batch [0099]/[3759] Speed: 59.806343 samples/sec accuracy=77.718750 loss=0.896742 lr=0.002607 Epoch[180] Batch [0149]/[3759] Speed: 61.566640 samples/sec accuracy=77.500000 loss=0.909408 lr=0.002603 Epoch[180] Batch [0199]/[3759] Speed: 59.997772 samples/sec accuracy=77.304688 loss=0.920413 lr=0.002599 Epoch[180] Batch [0249]/[3759] Speed: 62.626125 samples/sec accuracy=77.281250 loss=0.919998 lr=0.002595 Epoch[180] Batch [0299]/[3759] Speed: 60.379324 samples/sec accuracy=77.354167 loss=0.916686 lr=0.002590 Epoch[180] Batch [0349]/[3759] Speed: 62.150229 samples/sec accuracy=77.258929 loss=0.918682 lr=0.002586 Epoch[180] Batch [0399]/[3759] Speed: 61.133847 samples/sec accuracy=77.183594 loss=0.921071 lr=0.002582 Epoch[180] Batch [0449]/[3759] Speed: 62.581654 samples/sec accuracy=77.138889 loss=0.920816 lr=0.002577 Epoch[180] Batch [0499]/[3759] Speed: 61.280932 samples/sec accuracy=77.237500 loss=0.917531 lr=0.002573 Epoch[180] Batch [0549]/[3759] Speed: 62.234011 samples/sec accuracy=77.142045 loss=0.920284 lr=0.002569 Epoch[180] Batch [0599]/[3759] Speed: 60.295622 samples/sec accuracy=77.085938 loss=0.923845 lr=0.002564 Epoch[180] Batch [0649]/[3759] Speed: 62.929172 samples/sec accuracy=77.125000 loss=0.922875 lr=0.002560 Epoch[180] Batch [0699]/[3759] Speed: 61.903002 samples/sec accuracy=77.031250 loss=0.926439 lr=0.002556 Epoch[180] Batch [0749]/[3759] Speed: 62.944955 samples/sec accuracy=77.043750 loss=0.925824 lr=0.002552 Epoch[180] Batch [0799]/[3759] Speed: 62.217450 samples/sec accuracy=77.121094 loss=0.923659 lr=0.002547 Epoch[180] Batch [0849]/[3759] Speed: 62.483522 samples/sec accuracy=77.102941 loss=0.924226 lr=0.002543 Epoch[180] Batch [0899]/[3759] Speed: 61.631213 samples/sec accuracy=77.069444 loss=0.924257 lr=0.002539 Epoch[180] Batch [0949]/[3759] Speed: 62.226879 samples/sec accuracy=77.064145 loss=0.922571 lr=0.002535 Epoch[180] Batch [0999]/[3759] Speed: 62.860914 samples/sec accuracy=77.057812 loss=0.922169 lr=0.002530 Epoch[180] Batch [1049]/[3759] Speed: 62.272992 samples/sec accuracy=77.053571 loss=0.921122 lr=0.002526 Epoch[180] Batch [1099]/[3759] Speed: 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lr=0.002404 Epoch[180] Batch [2549]/[3759] Speed: 62.310033 samples/sec accuracy=76.828431 loss=0.923614 lr=0.002400 Epoch[180] Batch [2599]/[3759] Speed: 61.727632 samples/sec accuracy=76.832332 loss=0.923106 lr=0.002396 Epoch[180] Batch [2649]/[3759] Speed: 62.271273 samples/sec accuracy=76.832547 loss=0.922937 lr=0.002392 Epoch[180] Batch [2699]/[3759] Speed: 62.565048 samples/sec accuracy=76.830440 loss=0.923065 lr=0.002388 Epoch[180] Batch [2749]/[3759] Speed: 62.194209 samples/sec accuracy=76.824432 loss=0.923023 lr=0.002384 Epoch[180] Batch [2799]/[3759] Speed: 62.571678 samples/sec accuracy=76.814174 loss=0.922927 lr=0.002379 Epoch[180] Batch [2849]/[3759] Speed: 61.731539 samples/sec accuracy=76.825658 loss=0.922436 lr=0.002375 Epoch[180] Batch [2899]/[3759] Speed: 61.881294 samples/sec accuracy=76.825970 loss=0.922587 lr=0.002371 Epoch[180] Batch [2949]/[3759] Speed: 61.742999 samples/sec accuracy=76.840572 loss=0.922250 lr=0.002367 Epoch[180] Batch [2999]/[3759] Speed: 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lr=0.002326 Epoch[180] Batch [3499]/[3759] Speed: 62.781536 samples/sec accuracy=76.835714 loss=0.921969 lr=0.002322 Epoch[180] Batch [3549]/[3759] Speed: 61.444327 samples/sec accuracy=76.836268 loss=0.921721 lr=0.002318 Epoch[180] Batch [3599]/[3759] Speed: 62.338837 samples/sec accuracy=76.828993 loss=0.921802 lr=0.002314 Epoch[180] Batch [3649]/[3759] Speed: 61.940648 samples/sec accuracy=76.810360 loss=0.922293 lr=0.002310 Epoch[180] Batch [3699]/[3759] Speed: 62.482727 samples/sec accuracy=76.801520 loss=0.922264 lr=0.002306 Epoch[180] Batch [3749]/[3759] Speed: 66.093919 samples/sec accuracy=76.787083 loss=0.922559 lr=0.002302 Batch [0049]/[0303]: acc-top1=67.437500 acc-top5=86.687500 Batch [0099]/[0303]: acc-top1=68.031250 acc-top5=87.015625 Batch [0149]/[0303]: acc-top1=67.687500 acc-top5=87.031250 Batch [0199]/[0303]: acc-top1=67.937500 acc-top5=87.187500 Batch [0249]/[0303]: acc-top1=67.787500 acc-top5=87.243750 Batch [0299]/[0303]: acc-top1=67.661458 acc-top5=87.385417 [Epoch 180] training: accuracy=76.783636 loss=0.922843 [Epoch 180] speed: 61 samples/sec time cost: 4191.842817 [Epoch 180] validation: acc-top1=67.630982 acc-top5=87.334983 loss=1.548124 Epoch[181] Batch [0049]/[3760] Speed: 41.245861 samples/sec accuracy=78.218750 loss=0.886181 lr=0.002297 Epoch[181] Batch [0099]/[3760] Speed: 60.054705 samples/sec accuracy=77.718750 loss=0.888096 lr=0.002293 Epoch[181] Batch [0149]/[3760] Speed: 60.671786 samples/sec accuracy=77.739583 loss=0.879299 lr=0.002289 Epoch[181] Batch [0199]/[3760] Speed: 61.057791 samples/sec accuracy=77.664062 loss=0.886871 lr=0.002285 Epoch[181] Batch [0249]/[3760] Speed: 60.331096 samples/sec accuracy=77.631250 loss=0.886933 lr=0.002281 Epoch[181] Batch [0299]/[3760] Speed: 62.126772 samples/sec accuracy=77.786458 loss=0.879087 lr=0.002277 Epoch[181] Batch [0349]/[3760] Speed: 62.607788 samples/sec accuracy=77.709821 loss=0.883911 lr=0.002273 Epoch[181] Batch [0399]/[3760] Speed: 61.062932 samples/sec accuracy=77.664062 loss=0.887529 lr=0.002269 Epoch[181] Batch [0449]/[3760] Speed: 62.278708 samples/sec accuracy=77.649306 loss=0.887395 lr=0.002265 Epoch[181] Batch [0499]/[3760] Speed: 61.692826 samples/sec accuracy=77.468750 loss=0.892148 lr=0.002260 Epoch[181] Batch [0549]/[3760] Speed: 61.297562 samples/sec accuracy=77.596591 loss=0.887092 lr=0.002256 Epoch[181] Batch [0599]/[3760] Speed: 62.605241 samples/sec accuracy=77.617188 loss=0.886826 lr=0.002252 Epoch[181] Batch [0649]/[3760] Speed: 62.453759 samples/sec accuracy=77.711538 loss=0.883356 lr=0.002248 Epoch[181] Batch [0699]/[3760] Speed: 62.248000 samples/sec accuracy=77.720982 loss=0.884172 lr=0.002244 Epoch[181] Batch [0749]/[3760] Speed: 62.078849 samples/sec accuracy=77.637500 loss=0.886456 lr=0.002240 Epoch[181] Batch [0799]/[3760] Speed: 62.379644 samples/sec accuracy=77.662109 loss=0.886323 lr=0.002236 Epoch[181] Batch [0849]/[3760] Speed: 60.365984 samples/sec accuracy=77.625000 loss=0.887321 lr=0.002232 Epoch[181] Batch [0899]/[3760] Speed: 63.390912 samples/sec accuracy=77.633681 loss=0.886880 lr=0.002228 Epoch[181] Batch [0949]/[3760] Speed: 61.905583 samples/sec accuracy=77.603618 loss=0.888309 lr=0.002224 Epoch[181] Batch [0999]/[3760] Speed: 62.156532 samples/sec accuracy=77.565625 loss=0.889916 lr=0.002220 Epoch[181] Batch [1049]/[3760] Speed: 62.162007 samples/sec accuracy=77.556548 loss=0.889112 lr=0.002216 Epoch[181] Batch [1099]/[3760] Speed: 62.775447 samples/sec accuracy=77.517045 loss=0.891498 lr=0.002212 Epoch[181] Batch [1149]/[3760] Speed: 60.558598 samples/sec accuracy=77.508152 loss=0.891835 lr=0.002208 Epoch[181] Batch [1199]/[3760] Speed: 63.777915 samples/sec accuracy=77.489583 loss=0.892833 lr=0.002204 Epoch[181] Batch [1249]/[3760] Speed: 61.122361 samples/sec accuracy=77.512500 loss=0.891920 lr=0.002200 Epoch[181] Batch [1299]/[3760] Speed: 62.935023 samples/sec accuracy=77.533654 loss=0.892088 lr=0.002197 Epoch[181] Batch [1349]/[3760] Speed: 61.749360 samples/sec accuracy=77.490741 loss=0.893551 lr=0.002193 Epoch[181] Batch [1399]/[3760] Speed: 62.573340 samples/sec accuracy=77.535714 loss=0.893627 lr=0.002189 Epoch[181] Batch [1449]/[3760] Speed: 60.881539 samples/sec accuracy=77.523707 loss=0.893933 lr=0.002185 Epoch[181] Batch [1499]/[3760] Speed: 62.723359 samples/sec accuracy=77.566667 loss=0.893712 lr=0.002181 Epoch[181] Batch [1549]/[3760] Speed: 61.092505 samples/sec accuracy=77.537298 loss=0.894999 lr=0.002177 Epoch[181] Batch [1599]/[3760] Speed: 62.749316 samples/sec accuracy=77.534180 loss=0.895330 lr=0.002173 Epoch[181] Batch [1649]/[3760] Speed: 61.745196 samples/sec accuracy=77.514205 loss=0.895995 lr=0.002169 Epoch[181] Batch [1699]/[3760] Speed: 62.560922 samples/sec accuracy=77.520221 loss=0.896770 lr=0.002165 Epoch[181] Batch [1749]/[3760] Speed: 60.274653 samples/sec accuracy=77.514286 loss=0.897014 lr=0.002161 Epoch[181] Batch [1799]/[3760] Speed: 61.980151 samples/sec accuracy=77.497396 loss=0.897717 lr=0.002157 Epoch[181] Batch [1849]/[3760] Speed: 61.349020 samples/sec accuracy=77.472973 loss=0.898625 lr=0.002153 Epoch[181] Batch [1899]/[3760] Speed: 61.272228 samples/sec accuracy=77.486842 loss=0.898152 lr=0.002149 Epoch[181] Batch [1949]/[3760] Speed: 61.585590 samples/sec accuracy=77.468750 loss=0.898600 lr=0.002145 Epoch[181] Batch [1999]/[3760] Speed: 60.742681 samples/sec accuracy=77.436719 loss=0.900144 lr=0.002141 Epoch[181] Batch [2049]/[3760] Speed: 60.434474 samples/sec accuracy=77.455793 loss=0.899038 lr=0.002137 Epoch[181] Batch [2099]/[3760] Speed: 60.506747 samples/sec accuracy=77.427083 loss=0.900573 lr=0.002133 Epoch[181] Batch [2149]/[3760] Speed: 62.417834 samples/sec accuracy=77.421512 loss=0.901026 lr=0.002130 Epoch[181] Batch [2199]/[3760] Speed: 60.559551 samples/sec accuracy=77.409801 loss=0.901445 lr=0.002126 Epoch[181] Batch [2249]/[3760] Speed: 61.503860 samples/sec accuracy=77.390278 loss=0.902243 lr=0.002122 Epoch[181] Batch [2299]/[3760] Speed: 59.962236 samples/sec accuracy=77.392663 loss=0.901658 lr=0.002118 Epoch[181] Batch [2349]/[3760] Speed: 61.161371 samples/sec accuracy=77.396941 loss=0.901695 lr=0.002114 Epoch[181] Batch [2399]/[3760] Speed: 59.955043 samples/sec accuracy=77.371745 loss=0.901944 lr=0.002110 Epoch[181] Batch [2449]/[3760] Speed: 62.619238 samples/sec accuracy=77.362245 loss=0.902286 lr=0.002106 Epoch[181] Batch [2499]/[3760] Speed: 60.808292 samples/sec accuracy=77.316250 loss=0.903978 lr=0.002102 Epoch[181] Batch [2549]/[3760] Speed: 62.270630 samples/sec accuracy=77.309436 loss=0.903988 lr=0.002098 Epoch[181] Batch [2599]/[3760] Speed: 61.421815 samples/sec accuracy=77.319712 loss=0.903992 lr=0.002095 Epoch[181] Batch [2649]/[3760] Speed: 61.121151 samples/sec accuracy=77.299528 loss=0.904624 lr=0.002091 Epoch[181] Batch [2699]/[3760] Speed: 61.136526 samples/sec accuracy=77.288194 loss=0.904885 lr=0.002087 Epoch[181] Batch [2749]/[3760] Speed: 62.010948 samples/sec accuracy=77.273864 loss=0.905175 lr=0.002083 Epoch[181] Batch [2799]/[3760] Speed: 60.489923 samples/sec accuracy=77.285156 loss=0.904467 lr=0.002079 Epoch[181] Batch [2849]/[3760] Speed: 60.738558 samples/sec accuracy=77.297697 loss=0.904066 lr=0.002075 Epoch[181] Batch [2899]/[3760] Speed: 60.362021 samples/sec accuracy=77.303341 loss=0.904153 lr=0.002071 Epoch[181] Batch [2949]/[3760] Speed: 60.360745 samples/sec accuracy=77.310911 loss=0.903916 lr=0.002067 Epoch[181] Batch [2999]/[3760] Speed: 61.781274 samples/sec accuracy=77.305729 loss=0.904066 lr=0.002064 Epoch[181] Batch [3049]/[3760] Speed: 60.883682 samples/sec accuracy=77.292008 loss=0.904434 lr=0.002060 Epoch[181] Batch [3099]/[3760] Speed: 61.731684 samples/sec accuracy=77.298891 loss=0.904195 lr=0.002056 Epoch[181] Batch [3149]/[3760] Speed: 60.464406 samples/sec accuracy=77.302579 loss=0.904504 lr=0.002052 Epoch[181] Batch [3199]/[3760] Speed: 61.496774 samples/sec accuracy=77.325684 loss=0.903546 lr=0.002048 Epoch[181] Batch [3249]/[3760] Speed: 59.595568 samples/sec accuracy=77.329808 loss=0.903230 lr=0.002044 Epoch[181] Batch [3299]/[3760] Speed: 61.768546 samples/sec accuracy=77.318182 loss=0.903602 lr=0.002041 Epoch[181] Batch [3349]/[3760] Speed: 61.005700 samples/sec accuracy=77.306903 loss=0.904284 lr=0.002037 Epoch[181] Batch [3399]/[3760] Speed: 62.363327 samples/sec accuracy=77.301471 loss=0.904508 lr=0.002033 Epoch[181] Batch [3449]/[3760] Speed: 61.401536 samples/sec accuracy=77.292120 loss=0.904521 lr=0.002029 Epoch[181] Batch [3499]/[3760] Speed: 62.694350 samples/sec accuracy=77.309821 loss=0.903969 lr=0.002025 Epoch[181] Batch [3549]/[3760] Speed: 61.216301 samples/sec accuracy=77.328345 loss=0.903156 lr=0.002021 Epoch[181] Batch [3599]/[3760] Speed: 62.411598 samples/sec accuracy=77.345920 loss=0.902257 lr=0.002018 Epoch[181] Batch [3649]/[3760] Speed: 61.635325 samples/sec accuracy=77.336045 loss=0.902658 lr=0.002014 Epoch[181] Batch [3699]/[3760] Speed: 62.771776 samples/sec accuracy=77.333615 loss=0.902472 lr=0.002010 Epoch[181] Batch [3749]/[3760] Speed: 66.930225 samples/sec accuracy=77.327917 loss=0.902724 lr=0.002006 Batch [0049]/[0303]: acc-top1=67.812500 acc-top5=87.281250 Batch [0099]/[0303]: acc-top1=67.906250 acc-top5=87.281250 Batch [0149]/[0303]: acc-top1=67.656250 acc-top5=87.250000 Batch [0199]/[0303]: acc-top1=68.000000 acc-top5=87.476562 Batch [0249]/[0303]: acc-top1=67.918750 acc-top5=87.275000 Batch [0299]/[0303]: acc-top1=67.880208 acc-top5=87.432292 [Epoch 181] training: accuracy=77.323803 loss=0.902803 [Epoch 181] speed: 61 samples/sec time cost: 4220.446733 [Epoch 181] validation: acc-top1=67.832096 acc-top5=87.386551 loss=1.539001 Epoch[182] Batch [0049]/[3760] Speed: 41.783408 samples/sec accuracy=77.875000 loss=0.852204 lr=0.002002 Epoch[182] Batch [0099]/[3760] Speed: 59.109394 samples/sec accuracy=78.406250 loss=0.852925 lr=0.001998 Epoch[182] Batch [0149]/[3760] Speed: 61.262300 samples/sec accuracy=78.895833 loss=0.842496 lr=0.001994 Epoch[182] Batch [0199]/[3760] Speed: 59.807802 samples/sec accuracy=78.734375 loss=0.858563 lr=0.001990 Epoch[182] Batch [0249]/[3760] Speed: 61.870951 samples/sec accuracy=78.793750 loss=0.851361 lr=0.001987 Epoch[182] Batch [0299]/[3760] Speed: 60.350346 samples/sec accuracy=78.630208 loss=0.856910 lr=0.001983 Epoch[182] Batch [0349]/[3760] Speed: 60.946317 samples/sec accuracy=78.598214 loss=0.853743 lr=0.001979 Epoch[182] Batch [0399]/[3760] Speed: 61.242089 samples/sec accuracy=78.554688 loss=0.854874 lr=0.001975 Epoch[182] Batch [0449]/[3760] Speed: 62.295052 samples/sec accuracy=78.517361 loss=0.854122 lr=0.001971 Epoch[182] Batch [0499]/[3760] Speed: 60.482675 samples/sec accuracy=78.521875 loss=0.855278 lr=0.001968 Epoch[182] Batch [0549]/[3760] Speed: 62.618148 samples/sec accuracy=78.426136 loss=0.856879 lr=0.001964 Epoch[182] Batch [0599]/[3760] Speed: 60.661250 samples/sec accuracy=78.437500 loss=0.853903 lr=0.001960 Epoch[182] Batch [0649]/[3760] Speed: 61.439645 samples/sec accuracy=78.432692 loss=0.852923 lr=0.001956 Epoch[182] Batch [0699]/[3760] Speed: 61.621248 samples/sec accuracy=78.453125 loss=0.852833 lr=0.001953 Epoch[182] Batch [0749]/[3760] Speed: 62.632227 samples/sec accuracy=78.452083 loss=0.852149 lr=0.001949 Epoch[182] Batch [0799]/[3760] Speed: 61.481646 samples/sec accuracy=78.429688 loss=0.853315 lr=0.001945 Epoch[182] Batch [0849]/[3760] Speed: 62.539088 samples/sec accuracy=78.391544 loss=0.854135 lr=0.001941 Epoch[182] Batch [0899]/[3760] Speed: 61.698869 samples/sec accuracy=78.404514 loss=0.854116 lr=0.001938 Epoch[182] Batch [0949]/[3760] Speed: 61.748915 samples/sec accuracy=78.375000 loss=0.854966 lr=0.001934 Epoch[182] Batch [0999]/[3760] Speed: 61.994763 samples/sec accuracy=78.398438 loss=0.855704 lr=0.001930 Epoch[182] Batch [1049]/[3760] Speed: 62.324060 samples/sec accuracy=78.400298 loss=0.855834 lr=0.001927 Epoch[182] Batch [1099]/[3760] Speed: 62.100127 samples/sec accuracy=78.360795 loss=0.858822 lr=0.001923 Epoch[182] Batch [1149]/[3760] Speed: 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lr=0.001886 Epoch[182] Batch [1649]/[3760] Speed: 62.330480 samples/sec accuracy=78.180871 loss=0.863820 lr=0.001882 Epoch[182] Batch [1699]/[3760] Speed: 62.249695 samples/sec accuracy=78.170956 loss=0.864850 lr=0.001878 Epoch[182] Batch [1749]/[3760] Speed: 62.337781 samples/sec accuracy=78.152679 loss=0.865432 lr=0.001875 Epoch[182] Batch [1799]/[3760] Speed: 61.614498 samples/sec accuracy=78.118924 loss=0.866715 lr=0.001871 Epoch[182] Batch [1849]/[3760] Speed: 62.443858 samples/sec accuracy=78.090372 loss=0.867464 lr=0.001867 Epoch[182] Batch [1899]/[3760] Speed: 62.409062 samples/sec accuracy=78.092105 loss=0.867217 lr=0.001864 Epoch[182] Batch [1949]/[3760] Speed: 62.423440 samples/sec accuracy=78.084936 loss=0.866954 lr=0.001860 Epoch[182] Batch [1999]/[3760] Speed: 62.061508 samples/sec accuracy=78.098437 loss=0.866576 lr=0.001856 Epoch[182] Batch [2049]/[3760] Speed: 62.862865 samples/sec accuracy=78.101372 loss=0.866952 lr=0.001853 Epoch[182] Batch [2099]/[3760] Speed: 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lr=0.001816 Epoch[182] Batch [2599]/[3760] Speed: 61.575776 samples/sec accuracy=78.072716 loss=0.868525 lr=0.001813 Epoch[182] Batch [2649]/[3760] Speed: 61.826306 samples/sec accuracy=78.076061 loss=0.868138 lr=0.001809 Epoch[182] Batch [2699]/[3760] Speed: 62.106720 samples/sec accuracy=78.070023 loss=0.868906 lr=0.001806 Epoch[182] Batch [2749]/[3760] Speed: 62.663269 samples/sec accuracy=78.049432 loss=0.869238 lr=0.001802 Epoch[182] Batch [2799]/[3760] Speed: 61.382240 samples/sec accuracy=78.051339 loss=0.869295 lr=0.001798 Epoch[182] Batch [2849]/[3760] Speed: 62.605651 samples/sec accuracy=78.068531 loss=0.868610 lr=0.001795 Epoch[182] Batch [2899]/[3760] Speed: 61.070008 samples/sec accuracy=78.053341 loss=0.869293 lr=0.001791 Epoch[182] Batch [2949]/[3760] Speed: 61.018990 samples/sec accuracy=78.038136 loss=0.870120 lr=0.001788 Epoch[182] Batch [2999]/[3760] Speed: 61.426470 samples/sec accuracy=78.029167 loss=0.870139 lr=0.001784 Epoch[182] Batch [3049]/[3760] Speed: 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lr=0.001748 Epoch[182] Batch [3549]/[3760] Speed: 61.301648 samples/sec accuracy=78.002201 loss=0.871230 lr=0.001745 Epoch[182] Batch [3599]/[3760] Speed: 62.334060 samples/sec accuracy=77.986979 loss=0.871421 lr=0.001741 Epoch[182] Batch [3649]/[3760] Speed: 61.445190 samples/sec accuracy=77.976455 loss=0.871480 lr=0.001738 Epoch[182] Batch [3699]/[3760] Speed: 62.558864 samples/sec accuracy=77.956503 loss=0.872342 lr=0.001734 Epoch[182] Batch [3749]/[3760] Speed: 66.665164 samples/sec accuracy=77.943333 loss=0.872461 lr=0.001731 Batch [0049]/[0303]: acc-top1=67.906250 acc-top5=86.656250 Batch [0099]/[0303]: acc-top1=68.281250 acc-top5=87.031250 Batch [0149]/[0303]: acc-top1=67.958333 acc-top5=87.052083 Batch [0199]/[0303]: acc-top1=68.132812 acc-top5=87.203125 Batch [0249]/[0303]: acc-top1=67.937500 acc-top5=87.137500 Batch [0299]/[0303]: acc-top1=67.807292 acc-top5=87.317708 [Epoch 182] training: accuracy=77.943401 loss=0.872531 [Epoch 182] speed: 61 samples/sec time cost: 4203.575888 [Epoch 182] validation: acc-top1=67.759901 acc-top5=87.288573 loss=1.539008 Epoch[183] Batch [0049]/[3759] Speed: 41.203772 samples/sec accuracy=78.343750 loss=0.868586 lr=0.001726 Epoch[183] Batch [0099]/[3759] Speed: 60.415600 samples/sec accuracy=78.593750 loss=0.854942 lr=0.001723 Epoch[183] Batch [0149]/[3759] Speed: 61.021747 samples/sec accuracy=78.135417 loss=0.868116 lr=0.001719 Epoch[183] Batch [0199]/[3759] Speed: 60.138201 samples/sec accuracy=78.320312 loss=0.865497 lr=0.001716 Epoch[183] Batch [0249]/[3759] Speed: 61.955267 samples/sec accuracy=78.275000 loss=0.863697 lr=0.001712 Epoch[183] Batch [0299]/[3759] Speed: 60.692645 samples/sec accuracy=78.307292 loss=0.862170 lr=0.001709 Epoch[183] Batch [0349]/[3759] Speed: 61.427817 samples/sec accuracy=78.361607 loss=0.859477 lr=0.001705 Epoch[183] Batch [0399]/[3759] Speed: 60.707075 samples/sec accuracy=78.464844 loss=0.854370 lr=0.001702 Epoch[183] Batch [0449]/[3759] Speed: 62.202970 samples/sec accuracy=78.350694 loss=0.860206 lr=0.001698 Epoch[183] Batch [0499]/[3759] Speed: 61.144116 samples/sec accuracy=78.334375 loss=0.858939 lr=0.001695 Epoch[183] Batch [0549]/[3759] Speed: 62.188634 samples/sec accuracy=78.352273 loss=0.859661 lr=0.001691 Epoch[183] Batch [0599]/[3759] Speed: 58.829916 samples/sec accuracy=78.312500 loss=0.861746 lr=0.001688 Epoch[183] Batch [0649]/[3759] Speed: 62.930500 samples/sec accuracy=78.295673 loss=0.861069 lr=0.001684 Epoch[183] Batch [0699]/[3759] Speed: 60.066063 samples/sec accuracy=78.287946 loss=0.859125 lr=0.001681 Epoch[183] Batch [0749]/[3759] Speed: 62.463794 samples/sec accuracy=78.291667 loss=0.858070 lr=0.001677 Epoch[183] Batch [0799]/[3759] Speed: 61.311905 samples/sec accuracy=78.335938 loss=0.856076 lr=0.001674 Epoch[183] Batch [0849]/[3759] Speed: 62.355192 samples/sec accuracy=78.373162 loss=0.854012 lr=0.001671 Epoch[183] Batch [0899]/[3759] Speed: 60.660996 samples/sec accuracy=78.387153 loss=0.852625 lr=0.001667 Epoch[183] 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accuracy=78.549107 loss=0.847695 lr=0.001633 Epoch[183] Batch [1449]/[3759] Speed: 62.615814 samples/sec accuracy=78.521552 loss=0.848850 lr=0.001629 Epoch[183] Batch [1499]/[3759] Speed: 60.479397 samples/sec accuracy=78.527083 loss=0.848725 lr=0.001626 Epoch[183] Batch [1549]/[3759] Speed: 62.305845 samples/sec accuracy=78.519153 loss=0.849403 lr=0.001622 Epoch[183] Batch [1599]/[3759] Speed: 61.655094 samples/sec accuracy=78.546875 loss=0.849099 lr=0.001619 Epoch[183] Batch [1649]/[3759] Speed: 62.491327 samples/sec accuracy=78.545455 loss=0.849499 lr=0.001615 Epoch[183] Batch [1699]/[3759] Speed: 61.622010 samples/sec accuracy=78.530331 loss=0.849087 lr=0.001612 Epoch[183] Batch [1749]/[3759] Speed: 61.382453 samples/sec accuracy=78.531250 loss=0.849352 lr=0.001609 Epoch[183] Batch [1799]/[3759] Speed: 61.978400 samples/sec accuracy=78.513889 loss=0.849368 lr=0.001605 Epoch[183] Batch [1849]/[3759] Speed: 62.062200 samples/sec accuracy=78.516047 loss=0.849761 lr=0.001602 Epoch[183] 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accuracy=78.523271 loss=0.848724 lr=0.001568 Epoch[183] Batch [2399]/[3759] Speed: 61.504039 samples/sec accuracy=78.526693 loss=0.848595 lr=0.001565 Epoch[183] Batch [2449]/[3759] Speed: 61.252095 samples/sec accuracy=78.556760 loss=0.847331 lr=0.001561 Epoch[183] Batch [2499]/[3759] Speed: 61.738620 samples/sec accuracy=78.535625 loss=0.847926 lr=0.001558 Epoch[183] Batch [2549]/[3759] Speed: 60.907514 samples/sec accuracy=78.542279 loss=0.848318 lr=0.001555 Epoch[183] Batch [2599]/[3759] Speed: 61.917911 samples/sec accuracy=78.557692 loss=0.847823 lr=0.001551 Epoch[183] Batch [2649]/[3759] Speed: 60.280292 samples/sec accuracy=78.570755 loss=0.847108 lr=0.001548 Epoch[183] Batch [2699]/[3759] Speed: 61.917389 samples/sec accuracy=78.573495 loss=0.847564 lr=0.001545 Epoch[183] Batch [2749]/[3759] Speed: 61.246121 samples/sec accuracy=78.558523 loss=0.848121 lr=0.001541 Epoch[183] Batch [2799]/[3759] Speed: 62.623332 samples/sec accuracy=78.599888 loss=0.847180 lr=0.001538 Epoch[183] 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accuracy=78.564867 loss=0.849074 lr=0.001505 Epoch[183] Batch [3349]/[3759] Speed: 62.291864 samples/sec accuracy=78.588619 loss=0.848104 lr=0.001501 Epoch[183] Batch [3399]/[3759] Speed: 62.956999 samples/sec accuracy=78.579504 loss=0.847987 lr=0.001498 Epoch[183] Batch [3449]/[3759] Speed: 62.686338 samples/sec accuracy=78.572464 loss=0.848323 lr=0.001495 Epoch[183] Batch [3499]/[3759] Speed: 61.561187 samples/sec accuracy=78.558482 loss=0.848380 lr=0.001492 Epoch[183] Batch [3549]/[3759] Speed: 62.119732 samples/sec accuracy=78.580546 loss=0.847541 lr=0.001488 Epoch[183] Batch [3599]/[3759] Speed: 62.731067 samples/sec accuracy=78.567274 loss=0.847643 lr=0.001485 Epoch[183] Batch [3649]/[3759] Speed: 62.603039 samples/sec accuracy=78.576627 loss=0.847175 lr=0.001482 Epoch[183] Batch [3699]/[3759] Speed: 62.891993 samples/sec accuracy=78.558277 loss=0.847667 lr=0.001478 Epoch[183] Batch [3749]/[3759] Speed: 67.510893 samples/sec accuracy=78.565417 loss=0.847480 lr=0.001475 Batch [0049]/[0303]: acc-top1=68.218750 acc-top5=87.375000 Batch [0099]/[0303]: acc-top1=68.578125 acc-top5=87.250000 Batch [0149]/[0303]: acc-top1=68.302083 acc-top5=87.125000 Batch [0199]/[0303]: acc-top1=68.296875 acc-top5=87.093750 Batch [0249]/[0303]: acc-top1=68.200000 acc-top5=87.056250 Batch [0299]/[0303]: acc-top1=68.130208 acc-top5=87.286458 [Epoch 183] training: accuracy=78.563115 loss=0.847520 [Epoch 183] speed: 61 samples/sec time cost: 4208.787944 [Epoch 183] validation: acc-top1=68.089934 acc-top5=87.242162 loss=1.532325 Epoch[184] Batch [0049]/[3760] Speed: 41.511034 samples/sec accuracy=80.812500 loss=0.773527 lr=0.001471 Epoch[184] Batch [0099]/[3760] Speed: 60.587209 samples/sec accuracy=79.875000 loss=0.795473 lr=0.001468 Epoch[184] Batch [0149]/[3760] Speed: 60.771725 samples/sec accuracy=79.437500 loss=0.807018 lr=0.001465 Epoch[184] Batch [0199]/[3760] Speed: 60.423938 samples/sec accuracy=78.929688 loss=0.823610 lr=0.001462 Epoch[184] Batch [0249]/[3760] Speed: 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lr=0.001429 Epoch[184] Batch [0749]/[3760] Speed: 62.612899 samples/sec accuracy=79.485417 loss=0.813925 lr=0.001426 Epoch[184] Batch [0799]/[3760] Speed: 62.063801 samples/sec accuracy=79.480469 loss=0.812544 lr=0.001423 Epoch[184] Batch [0849]/[3760] Speed: 62.355295 samples/sec accuracy=79.496324 loss=0.811988 lr=0.001420 Epoch[184] Batch [0899]/[3760] Speed: 61.821285 samples/sec accuracy=79.520833 loss=0.811708 lr=0.001416 Epoch[184] Batch [0949]/[3760] Speed: 62.124992 samples/sec accuracy=79.527961 loss=0.811437 lr=0.001413 Epoch[184] Batch [0999]/[3760] Speed: 62.544408 samples/sec accuracy=79.617188 loss=0.808217 lr=0.001410 Epoch[184] Batch [1049]/[3760] Speed: 62.452264 samples/sec accuracy=79.632440 loss=0.807721 lr=0.001407 Epoch[184] Batch [1099]/[3760] Speed: 62.459084 samples/sec accuracy=79.585227 loss=0.808596 lr=0.001404 Epoch[184] Batch [1149]/[3760] Speed: 62.692399 samples/sec accuracy=79.554348 loss=0.808444 lr=0.001401 Epoch[184] Batch [1199]/[3760] Speed: 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lr=0.001369 Epoch[184] Batch [1699]/[3760] Speed: 62.469994 samples/sec accuracy=79.420956 loss=0.816709 lr=0.001366 Epoch[184] Batch [1749]/[3760] Speed: 60.928142 samples/sec accuracy=79.438393 loss=0.816158 lr=0.001363 Epoch[184] Batch [1799]/[3760] Speed: 62.276310 samples/sec accuracy=79.417535 loss=0.817495 lr=0.001359 Epoch[184] Batch [1849]/[3760] Speed: 62.393019 samples/sec accuracy=79.417230 loss=0.817709 lr=0.001356 Epoch[184] Batch [1899]/[3760] Speed: 62.160056 samples/sec accuracy=79.423520 loss=0.817451 lr=0.001353 Epoch[184] Batch [1949]/[3760] Speed: 62.557771 samples/sec accuracy=79.439904 loss=0.816959 lr=0.001350 Epoch[184] Batch [1999]/[3760] Speed: 62.683819 samples/sec accuracy=79.482031 loss=0.815587 lr=0.001347 Epoch[184] Batch [2049]/[3760] Speed: 61.838817 samples/sec accuracy=79.462652 loss=0.815758 lr=0.001344 Epoch[184] Batch [2099]/[3760] Speed: 62.508986 samples/sec accuracy=79.441964 loss=0.817164 lr=0.001341 Epoch[184] Batch [2149]/[3760] Speed: 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lr=0.001310 Epoch[184] Batch [2649]/[3760] Speed: 61.749346 samples/sec accuracy=79.420991 loss=0.818279 lr=0.001307 Epoch[184] Batch [2699]/[3760] Speed: 62.861951 samples/sec accuracy=79.407986 loss=0.818759 lr=0.001304 Epoch[184] Batch [2749]/[3760] Speed: 62.111414 samples/sec accuracy=79.407386 loss=0.818311 lr=0.001301 Epoch[184] Batch [2799]/[3760] Speed: 62.941814 samples/sec accuracy=79.406808 loss=0.817910 lr=0.001297 Epoch[184] Batch [2849]/[3760] Speed: 61.948317 samples/sec accuracy=79.423794 loss=0.816993 lr=0.001294 Epoch[184] Batch [2899]/[3760] Speed: 61.381201 samples/sec accuracy=79.422953 loss=0.816912 lr=0.001291 Epoch[184] Batch [2949]/[3760] Speed: 62.925922 samples/sec accuracy=79.432203 loss=0.816839 lr=0.001288 Epoch[184] Batch [2999]/[3760] Speed: 62.805500 samples/sec accuracy=79.433333 loss=0.816829 lr=0.001285 Epoch[184] Batch [3049]/[3760] Speed: 62.486432 samples/sec accuracy=79.428791 loss=0.817293 lr=0.001282 Epoch[184] Batch [3099]/[3760] Speed: 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lr=0.001252 Epoch[184] Batch [3599]/[3760] Speed: 62.872027 samples/sec accuracy=79.419705 loss=0.818066 lr=0.001249 Epoch[184] Batch [3649]/[3760] Speed: 62.004048 samples/sec accuracy=79.402397 loss=0.818581 lr=0.001246 Epoch[184] Batch [3699]/[3760] Speed: 62.447598 samples/sec accuracy=79.391470 loss=0.818753 lr=0.001243 Epoch[184] Batch [3749]/[3760] Speed: 67.092421 samples/sec accuracy=79.390000 loss=0.818886 lr=0.001240 Batch [0049]/[0303]: acc-top1=68.718750 acc-top5=87.468750 Batch [0099]/[0303]: acc-top1=68.984375 acc-top5=87.609375 Batch [0149]/[0303]: acc-top1=68.343750 acc-top5=87.437500 Batch [0199]/[0303]: acc-top1=68.484375 acc-top5=87.554688 Batch [0249]/[0303]: acc-top1=68.231250 acc-top5=87.443750 Batch [0299]/[0303]: acc-top1=68.270833 acc-top5=87.531250 [Epoch 184] training: accuracy=79.386220 loss=0.818926 [Epoch 184] speed: 61 samples/sec time cost: 4186.529068 [Epoch 184] validation: acc-top1=68.244637 acc-top5=87.474216 loss=1.513096 Epoch[185] Batch 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accuracy=80.150000 loss=0.793521 lr=0.001210 Epoch[185] Batch [0549]/[3760] Speed: 62.511714 samples/sec accuracy=80.139205 loss=0.793079 lr=0.001207 Epoch[185] Batch [0599]/[3760] Speed: 60.985153 samples/sec accuracy=80.098958 loss=0.794272 lr=0.001204 Epoch[185] Batch [0649]/[3760] Speed: 61.926390 samples/sec accuracy=79.987981 loss=0.797988 lr=0.001201 Epoch[185] Batch [0699]/[3760] Speed: 60.790437 samples/sec accuracy=79.941964 loss=0.798300 lr=0.001198 Epoch[185] Batch [0749]/[3760] Speed: 62.484655 samples/sec accuracy=79.931250 loss=0.798507 lr=0.001195 Epoch[185] Batch [0799]/[3760] Speed: 60.650141 samples/sec accuracy=79.871094 loss=0.800254 lr=0.001192 Epoch[185] Batch [0849]/[3760] Speed: 62.727458 samples/sec accuracy=79.913603 loss=0.799750 lr=0.001189 Epoch[185] Batch [0899]/[3760] Speed: 61.001063 samples/sec accuracy=79.888889 loss=0.800687 lr=0.001186 Epoch[185] Batch [0949]/[3760] Speed: 61.406899 samples/sec accuracy=79.907895 loss=0.801138 lr=0.001183 Epoch[185] 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accuracy=79.991379 loss=0.795847 lr=0.001154 Epoch[185] Batch [1499]/[3760] Speed: 62.949339 samples/sec accuracy=80.009375 loss=0.795069 lr=0.001151 Epoch[185] Batch [1549]/[3760] Speed: 60.772731 samples/sec accuracy=79.988911 loss=0.796763 lr=0.001148 Epoch[185] Batch [1599]/[3760] Speed: 62.483655 samples/sec accuracy=79.985352 loss=0.795966 lr=0.001145 Epoch[185] Batch [1649]/[3760] Speed: 61.678876 samples/sec accuracy=79.957386 loss=0.796960 lr=0.001142 Epoch[185] Batch [1699]/[3760] Speed: 62.469181 samples/sec accuracy=79.925551 loss=0.797854 lr=0.001140 Epoch[185] Batch [1749]/[3760] Speed: 61.624487 samples/sec accuracy=79.917857 loss=0.798244 lr=0.001137 Epoch[185] Batch [1799]/[3760] Speed: 62.492503 samples/sec accuracy=79.934028 loss=0.797570 lr=0.001134 Epoch[185] Batch [1849]/[3760] Speed: 60.979972 samples/sec accuracy=79.917230 loss=0.797749 lr=0.001131 Epoch[185] Batch [1899]/[3760] Speed: 62.619506 samples/sec accuracy=79.911184 loss=0.797982 lr=0.001128 Epoch[185] Batch [1949]/[3760] Speed: 62.662284 samples/sec accuracy=79.884615 loss=0.798701 lr=0.001125 Epoch[185] Batch [1999]/[3760] Speed: 62.150306 samples/sec accuracy=79.894531 loss=0.798500 lr=0.001122 Epoch[185] Batch [2049]/[3760] Speed: 62.122230 samples/sec accuracy=79.923018 loss=0.797823 lr=0.001120 Epoch[185] Batch [2099]/[3760] Speed: 62.248148 samples/sec accuracy=79.886905 loss=0.798494 lr=0.001117 Epoch[185] Batch [2149]/[3760] Speed: 61.420332 samples/sec accuracy=79.903343 loss=0.797721 lr=0.001114 Epoch[185] Batch [2199]/[3760] Speed: 62.159540 samples/sec accuracy=79.925426 loss=0.797640 lr=0.001111 Epoch[185] Batch [2249]/[3760] Speed: 62.552964 samples/sec accuracy=79.913194 loss=0.797740 lr=0.001108 Epoch[185] Batch [2299]/[3760] Speed: 62.324637 samples/sec accuracy=79.889266 loss=0.798771 lr=0.001105 Epoch[185] Batch [2349]/[3760] Speed: 62.762609 samples/sec accuracy=79.880984 loss=0.798689 lr=0.001103 Epoch[185] Batch [2399]/[3760] Speed: 61.950672 samples/sec accuracy=79.854818 loss=0.799649 lr=0.001100 Epoch[185] Batch [2449]/[3760] Speed: 61.277530 samples/sec accuracy=79.849490 loss=0.800133 lr=0.001097 Epoch[185] Batch [2499]/[3760] Speed: 61.921946 samples/sec accuracy=79.847500 loss=0.800018 lr=0.001094 Epoch[185] Batch [2549]/[3760] Speed: 62.557325 samples/sec accuracy=79.852941 loss=0.799512 lr=0.001091 Epoch[185] Batch [2599]/[3760] Speed: 62.409485 samples/sec accuracy=79.860577 loss=0.798844 lr=0.001088 Epoch[185] Batch [2649]/[3760] Speed: 62.882512 samples/sec accuracy=79.863208 loss=0.798748 lr=0.001086 Epoch[185] Batch [2699]/[3760] Speed: 62.586769 samples/sec accuracy=79.876736 loss=0.798325 lr=0.001083 Epoch[185] Batch [2749]/[3760] Speed: 61.826359 samples/sec accuracy=79.853977 loss=0.799456 lr=0.001080 Epoch[185] Batch [2799]/[3760] Speed: 62.128266 samples/sec accuracy=79.882254 loss=0.798639 lr=0.001077 Epoch[185] Batch [2849]/[3760] Speed: 62.426245 samples/sec accuracy=79.888706 loss=0.798458 lr=0.001074 Epoch[185] Batch [2899]/[3760] Speed: 62.388438 samples/sec accuracy=79.881466 loss=0.798736 lr=0.001072 Epoch[185] Batch [2949]/[3760] Speed: 62.638875 samples/sec accuracy=79.884004 loss=0.798196 lr=0.001069 Epoch[185] Batch [2999]/[3760] Speed: 62.151502 samples/sec accuracy=79.865104 loss=0.798924 lr=0.001066 Epoch[185] Batch [3049]/[3760] Speed: 61.787048 samples/sec accuracy=79.854508 loss=0.798956 lr=0.001063 Epoch[185] Batch [3099]/[3760] Speed: 62.220416 samples/sec accuracy=79.861391 loss=0.798779 lr=0.001061 Epoch[185] Batch [3149]/[3760] Speed: 62.494880 samples/sec accuracy=79.848710 loss=0.798826 lr=0.001058 Epoch[185] Batch [3199]/[3760] Speed: 62.538333 samples/sec accuracy=79.826172 loss=0.799486 lr=0.001055 Epoch[185] Batch [3249]/[3760] Speed: 62.527937 samples/sec accuracy=79.827885 loss=0.799343 lr=0.001052 Epoch[185] Batch [3299]/[3760] Speed: 61.899304 samples/sec accuracy=79.816761 loss=0.800520 lr=0.001049 Epoch[185] Batch [3349]/[3760] Speed: 60.814958 samples/sec accuracy=79.816698 loss=0.800645 lr=0.001047 Epoch[185] Batch [3399]/[3760] Speed: 63.009078 samples/sec accuracy=79.818934 loss=0.800700 lr=0.001044 Epoch[185] Batch [3449]/[3760] Speed: 62.695780 samples/sec accuracy=79.825181 loss=0.800563 lr=0.001041 Epoch[185] Batch [3499]/[3760] Speed: 62.282475 samples/sec accuracy=79.824107 loss=0.800721 lr=0.001038 Epoch[185] Batch [3549]/[3760] Speed: 62.251324 samples/sec accuracy=79.834067 loss=0.800577 lr=0.001036 Epoch[185] Batch [3599]/[3760] Speed: 62.574912 samples/sec accuracy=79.835069 loss=0.800360 lr=0.001033 Epoch[185] Batch [3649]/[3760] Speed: 60.237140 samples/sec accuracy=79.842038 loss=0.799874 lr=0.001030 Epoch[185] Batch [3699]/[3760] Speed: 63.518254 samples/sec accuracy=79.845439 loss=0.799714 lr=0.001028 Epoch[185] Batch [3749]/[3760] Speed: 67.239677 samples/sec accuracy=79.847500 loss=0.799423 lr=0.001025 Batch [0049]/[0303]: acc-top1=67.843750 acc-top5=87.343750 Batch [0099]/[0303]: acc-top1=68.375000 acc-top5=87.406250 Batch [0149]/[0303]: acc-top1=68.375000 acc-top5=87.302083 Batch [0199]/[0303]: acc-top1=68.523438 acc-top5=87.328125 Batch [0249]/[0303]: acc-top1=68.368750 acc-top5=87.300000 Batch [0299]/[0303]: acc-top1=68.375000 acc-top5=87.500000 [Epoch 185] training: accuracy=79.849983 loss=0.799379 [Epoch 185] speed: 61 samples/sec time cost: 4196.642559 [Epoch 185] validation: acc-top1=68.368399 acc-top5=87.463903 loss=1.518929 Epoch[186] Batch [0049]/[3759] Speed: 41.208668 samples/sec accuracy=80.500000 loss=0.799364 lr=0.001022 Epoch[186] Batch [0099]/[3759] Speed: 60.367948 samples/sec accuracy=80.718750 loss=0.776901 lr=0.001019 Epoch[186] Batch [0149]/[3759] Speed: 61.465364 samples/sec accuracy=80.708333 loss=0.766386 lr=0.001016 Epoch[186] Batch [0199]/[3759] Speed: 60.328271 samples/sec accuracy=80.406250 loss=0.779376 lr=0.001013 Epoch[186] Batch [0249]/[3759] Speed: 62.020308 samples/sec accuracy=80.331250 loss=0.779023 lr=0.001011 Epoch[186] Batch [0299]/[3759] 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accuracy=80.303309 loss=0.783839 lr=0.000934 Epoch[186] Batch [1749]/[3759] Speed: 60.947344 samples/sec accuracy=80.301786 loss=0.783523 lr=0.000931 Epoch[186] Batch [1799]/[3759] Speed: 62.610144 samples/sec accuracy=80.306424 loss=0.783607 lr=0.000928 Epoch[186] Batch [1849]/[3759] Speed: 61.391296 samples/sec accuracy=80.282095 loss=0.783791 lr=0.000926 Epoch[186] Batch [1899]/[3759] Speed: 62.721348 samples/sec accuracy=80.300987 loss=0.782903 lr=0.000923 Epoch[186] Batch [1949]/[3759] Speed: 60.137823 samples/sec accuracy=80.302083 loss=0.782905 lr=0.000921 Epoch[186] Batch [1999]/[3759] Speed: 62.441388 samples/sec accuracy=80.315625 loss=0.782439 lr=0.000918 Epoch[186] Batch [2049]/[3759] Speed: 61.283582 samples/sec accuracy=80.334604 loss=0.781715 lr=0.000916 Epoch[186] Batch [2099]/[3759] Speed: 62.465218 samples/sec accuracy=80.325893 loss=0.782119 lr=0.000913 Epoch[186] Batch [2149]/[3759] Speed: 61.694451 samples/sec accuracy=80.335029 loss=0.781757 lr=0.000910 Epoch[186] 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accuracy=80.348467 loss=0.780884 lr=0.000885 Epoch[186] Batch [2699]/[3759] Speed: 61.524265 samples/sec accuracy=80.353009 loss=0.781041 lr=0.000882 Epoch[186] Batch [2749]/[3759] Speed: 62.623378 samples/sec accuracy=80.355682 loss=0.780540 lr=0.000880 Epoch[186] Batch [2799]/[3759] Speed: 61.367355 samples/sec accuracy=80.393415 loss=0.779027 lr=0.000877 Epoch[186] Batch [2849]/[3759] Speed: 61.581379 samples/sec accuracy=80.404057 loss=0.778614 lr=0.000875 Epoch[186] Batch [2899]/[3759] Speed: 61.631970 samples/sec accuracy=80.403556 loss=0.778566 lr=0.000872 Epoch[186] Batch [2949]/[3759] Speed: 62.432665 samples/sec accuracy=80.384004 loss=0.779567 lr=0.000870 Epoch[186] Batch [2999]/[3759] Speed: 61.654890 samples/sec accuracy=80.373437 loss=0.779640 lr=0.000867 Epoch[186] Batch [3049]/[3759] Speed: 62.496090 samples/sec accuracy=80.369365 loss=0.779917 lr=0.000865 Epoch[186] Batch [3099]/[3759] Speed: 61.891670 samples/sec accuracy=80.376512 loss=0.779674 lr=0.000862 Epoch[186] 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accuracy=80.380208 loss=0.778268 lr=0.000837 Epoch[186] Batch [3649]/[3759] Speed: 61.873534 samples/sec accuracy=80.378425 loss=0.778525 lr=0.000835 Epoch[186] Batch [3699]/[3759] Speed: 61.462927 samples/sec accuracy=80.357686 loss=0.779447 lr=0.000832 Epoch[186] Batch [3749]/[3759] Speed: 67.576359 samples/sec accuracy=80.366250 loss=0.779218 lr=0.000830 Batch [0049]/[0303]: acc-top1=67.968750 acc-top5=87.187500 Batch [0099]/[0303]: acc-top1=68.937500 acc-top5=87.515625 Batch [0149]/[0303]: acc-top1=68.520833 acc-top5=87.364583 Batch [0199]/[0303]: acc-top1=68.820312 acc-top5=87.531250 Batch [0249]/[0303]: acc-top1=68.837500 acc-top5=87.512500 Batch [0299]/[0303]: acc-top1=68.770833 acc-top5=87.682292 [Epoch 186] training: accuracy=80.363378 loss=0.779154 [Epoch 186] speed: 61 samples/sec time cost: 4200.414730 [Epoch 186] validation: acc-top1=68.744843 acc-top5=87.654703 loss=1.507933 Epoch[187] Batch [0049]/[3760] Speed: 41.085051 samples/sec accuracy=81.656250 loss=0.717724 lr=0.000827 Epoch[187] Batch [0099]/[3760] Speed: 59.995089 samples/sec accuracy=81.953125 loss=0.720434 lr=0.000825 Epoch[187] Batch [0149]/[3760] Speed: 60.834387 samples/sec accuracy=81.614583 loss=0.733028 lr=0.000822 Epoch[187] Batch [0199]/[3760] Speed: 60.292717 samples/sec accuracy=81.414062 loss=0.737770 lr=0.000820 Epoch[187] Batch [0249]/[3760] Speed: 60.870517 samples/sec accuracy=81.162500 loss=0.746615 lr=0.000817 Epoch[187] Batch [0299]/[3760] Speed: 60.478653 samples/sec accuracy=80.963542 loss=0.751806 lr=0.000815 Epoch[187] Batch [0349]/[3760] Speed: 61.541551 samples/sec accuracy=81.004464 loss=0.747710 lr=0.000812 Epoch[187] Batch [0399]/[3760] Speed: 60.961795 samples/sec accuracy=81.035156 loss=0.747576 lr=0.000810 Epoch[187] Batch [0449]/[3760] Speed: 62.209264 samples/sec accuracy=80.923611 loss=0.753477 lr=0.000808 Epoch[187] Batch [0499]/[3760] Speed: 60.906479 samples/sec accuracy=80.784375 loss=0.758716 lr=0.000805 Epoch[187] Batch [0549]/[3760] Speed: 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lr=0.000781 Epoch[187] Batch [1049]/[3760] Speed: 62.110001 samples/sec accuracy=80.845238 loss=0.755377 lr=0.000779 Epoch[187] Batch [1099]/[3760] Speed: 62.485692 samples/sec accuracy=80.828125 loss=0.754183 lr=0.000776 Epoch[187] Batch [1149]/[3760] Speed: 61.437934 samples/sec accuracy=80.805707 loss=0.756125 lr=0.000774 Epoch[187] Batch [1199]/[3760] Speed: 61.989782 samples/sec accuracy=80.779948 loss=0.757408 lr=0.000772 Epoch[187] Batch [1249]/[3760] Speed: 61.998095 samples/sec accuracy=80.792500 loss=0.757991 lr=0.000769 Epoch[187] Batch [1299]/[3760] Speed: 62.319948 samples/sec accuracy=80.774038 loss=0.759514 lr=0.000767 Epoch[187] Batch [1349]/[3760] Speed: 62.389018 samples/sec accuracy=80.770833 loss=0.760028 lr=0.000765 Epoch[187] Batch [1399]/[3760] Speed: 60.977633 samples/sec accuracy=80.793527 loss=0.759722 lr=0.000762 Epoch[187] Batch [1449]/[3760] Speed: 62.415797 samples/sec accuracy=80.832974 loss=0.758889 lr=0.000760 Epoch[187] Batch [1499]/[3760] Speed: 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lr=0.000737 Epoch[187] Batch [1999]/[3760] Speed: 61.152402 samples/sec accuracy=80.769531 loss=0.760104 lr=0.000734 Epoch[187] Batch [2049]/[3760] Speed: 62.690230 samples/sec accuracy=80.753049 loss=0.760603 lr=0.000732 Epoch[187] Batch [2099]/[3760] Speed: 61.924191 samples/sec accuracy=80.746280 loss=0.760927 lr=0.000730 Epoch[187] Batch [2149]/[3760] Speed: 62.558256 samples/sec accuracy=80.730378 loss=0.761058 lr=0.000727 Epoch[187] Batch [2199]/[3760] Speed: 62.453760 samples/sec accuracy=80.743608 loss=0.760876 lr=0.000725 Epoch[187] Batch [2249]/[3760] Speed: 62.689778 samples/sec accuracy=80.739583 loss=0.761249 lr=0.000723 Epoch[187] Batch [2299]/[3760] Speed: 61.381370 samples/sec accuracy=80.751359 loss=0.760926 lr=0.000720 Epoch[187] Batch [2349]/[3760] Speed: 62.782766 samples/sec accuracy=80.748670 loss=0.760777 lr=0.000718 Epoch[187] Batch [2399]/[3760] Speed: 62.145854 samples/sec accuracy=80.745443 loss=0.760991 lr=0.000716 Epoch[187] Batch [2449]/[3760] Speed: 62.546654 samples/sec accuracy=80.737245 loss=0.761810 lr=0.000714 Epoch[187] Batch [2499]/[3760] Speed: 62.104001 samples/sec accuracy=80.742500 loss=0.761846 lr=0.000711 Epoch[187] Batch [2549]/[3760] Speed: 62.194816 samples/sec accuracy=80.737132 loss=0.762168 lr=0.000709 Epoch[187] Batch [2599]/[3760] Speed: 61.774651 samples/sec accuracy=80.727163 loss=0.762330 lr=0.000707 Epoch[187] Batch [2649]/[3760] Speed: 62.206814 samples/sec accuracy=80.726415 loss=0.762120 lr=0.000704 Epoch[187] Batch [2699]/[3760] Speed: 62.481714 samples/sec accuracy=80.734954 loss=0.761850 lr=0.000702 Epoch[187] Batch [2749]/[3760] Speed: 62.275408 samples/sec accuracy=80.730114 loss=0.761751 lr=0.000700 Epoch[187] Batch [2799]/[3760] Speed: 62.432727 samples/sec accuracy=80.722098 loss=0.761792 lr=0.000698 Epoch[187] Batch [2849]/[3760] Speed: 62.158831 samples/sec accuracy=80.732456 loss=0.761209 lr=0.000695 Epoch[187] Batch [2899]/[3760] Speed: 61.575912 samples/sec accuracy=80.704741 loss=0.761950 lr=0.000693 Epoch[187] Batch [2949]/[3760] Speed: 62.167378 samples/sec accuracy=80.707627 loss=0.761749 lr=0.000691 Epoch[187] Batch [2999]/[3760] Speed: 62.711165 samples/sec accuracy=80.691146 loss=0.761995 lr=0.000689 Epoch[187] Batch [3049]/[3760] Speed: 61.370813 samples/sec accuracy=80.686988 loss=0.762478 lr=0.000687 Epoch[187] Batch [3099]/[3760] Speed: 62.505212 samples/sec accuracy=80.706149 loss=0.761769 lr=0.000684 Epoch[187] Batch [3149]/[3760] Speed: 62.093748 samples/sec accuracy=80.696429 loss=0.762037 lr=0.000682 Epoch[187] Batch [3199]/[3760] Speed: 61.931094 samples/sec accuracy=80.677734 loss=0.762688 lr=0.000680 Epoch[187] Batch [3249]/[3760] Speed: 61.833825 samples/sec accuracy=80.683173 loss=0.762691 lr=0.000678 Epoch[187] Batch [3299]/[3760] Speed: 62.936413 samples/sec accuracy=80.680871 loss=0.762460 lr=0.000675 Epoch[187] Batch [3349]/[3760] Speed: 61.817869 samples/sec accuracy=80.684235 loss=0.762260 lr=0.000673 Epoch[187] Batch [3399]/[3760] Speed: 62.291116 samples/sec accuracy=80.700368 loss=0.761900 lr=0.000671 Epoch[187] Batch [3449]/[3760] Speed: 62.189473 samples/sec accuracy=80.697917 loss=0.761882 lr=0.000669 Epoch[187] Batch [3499]/[3760] Speed: 60.945172 samples/sec accuracy=80.707143 loss=0.761485 lr=0.000667 Epoch[187] Batch [3549]/[3760] Speed: 62.259879 samples/sec accuracy=80.716989 loss=0.760639 lr=0.000664 Epoch[187] Batch [3599]/[3760] Speed: 61.874479 samples/sec accuracy=80.723524 loss=0.760351 lr=0.000662 Epoch[187] Batch [3649]/[3760] Speed: 62.112853 samples/sec accuracy=80.729452 loss=0.760072 lr=0.000660 Epoch[187] Batch [3699]/[3760] Speed: 62.399827 samples/sec accuracy=80.738598 loss=0.759645 lr=0.000658 Epoch[187] Batch [3749]/[3760] Speed: 65.627936 samples/sec accuracy=80.741250 loss=0.759531 lr=0.000656 Batch [0049]/[0303]: acc-top1=68.718750 acc-top5=87.312500 Batch [0099]/[0303]: acc-top1=69.078125 acc-top5=87.609375 Batch [0149]/[0303]: acc-top1=68.729167 acc-top5=87.427083 Batch [0199]/[0303]: acc-top1=68.882812 acc-top5=87.609375 Batch [0249]/[0303]: acc-top1=68.843750 acc-top5=87.531250 Batch [0299]/[0303]: acc-top1=68.817708 acc-top5=87.744792 [Epoch 187] training: accuracy=80.738863 loss=0.759692 [Epoch 187] speed: 61 samples/sec time cost: 4193.808188 [Epoch 187] validation: acc-top1=68.775784 acc-top5=87.706271 loss=1.520991 Epoch[188] Batch [0049]/[3760] Speed: 41.538149 samples/sec accuracy=82.125000 loss=0.721153 lr=0.000653 Epoch[188] Batch [0099]/[3760] Speed: 60.300934 samples/sec accuracy=81.218750 loss=0.740673 lr=0.000651 Epoch[188] Batch [0149]/[3760] Speed: 59.974285 samples/sec accuracy=80.906250 loss=0.748093 lr=0.000649 Epoch[188] Batch [0199]/[3760] Speed: 60.477432 samples/sec accuracy=80.984375 loss=0.749602 lr=0.000646 Epoch[188] Batch [0249]/[3760] Speed: 61.020358 samples/sec accuracy=81.100000 loss=0.745631 lr=0.000644 Epoch[188] Batch [0299]/[3760] Speed: 58.962383 samples/sec accuracy=81.015625 loss=0.742907 lr=0.000642 Epoch[188] Batch 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accuracy=81.087891 loss=0.746266 lr=0.000621 Epoch[188] Batch [0849]/[3760] Speed: 62.223503 samples/sec accuracy=81.064338 loss=0.747190 lr=0.000619 Epoch[188] Batch [0899]/[3760] Speed: 60.747105 samples/sec accuracy=81.109375 loss=0.746435 lr=0.000616 Epoch[188] Batch [0949]/[3760] Speed: 61.860958 samples/sec accuracy=81.154605 loss=0.746349 lr=0.000614 Epoch[188] Batch [0999]/[3760] Speed: 61.512234 samples/sec accuracy=81.076563 loss=0.750008 lr=0.000612 Epoch[188] Batch [1049]/[3760] Speed: 62.281993 samples/sec accuracy=81.116071 loss=0.748196 lr=0.000610 Epoch[188] Batch [1099]/[3760] Speed: 61.188309 samples/sec accuracy=81.130682 loss=0.748713 lr=0.000608 Epoch[188] Batch [1149]/[3760] Speed: 62.106910 samples/sec accuracy=81.076087 loss=0.749857 lr=0.000606 Epoch[188] Batch [1199]/[3760] Speed: 61.615199 samples/sec accuracy=81.037760 loss=0.749346 lr=0.000604 Epoch[188] Batch [1249]/[3760] Speed: 61.533042 samples/sec accuracy=81.070000 loss=0.748372 lr=0.000602 Epoch[188] 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accuracy=81.025000 loss=0.746420 lr=0.000581 Epoch[188] Batch [1799]/[3760] Speed: 62.526205 samples/sec accuracy=81.029514 loss=0.746350 lr=0.000579 Epoch[188] Batch [1849]/[3760] Speed: 60.853876 samples/sec accuracy=80.995777 loss=0.747234 lr=0.000577 Epoch[188] Batch [1899]/[3760] Speed: 62.681522 samples/sec accuracy=81.038651 loss=0.745879 lr=0.000575 Epoch[188] Batch [1949]/[3760] Speed: 61.565824 samples/sec accuracy=81.061699 loss=0.745329 lr=0.000573 Epoch[188] Batch [1999]/[3760] Speed: 62.919993 samples/sec accuracy=81.063281 loss=0.745068 lr=0.000571 Epoch[188] Batch [2049]/[3760] Speed: 61.388377 samples/sec accuracy=81.071646 loss=0.745257 lr=0.000569 Epoch[188] Batch [2099]/[3760] Speed: 62.996139 samples/sec accuracy=81.072173 loss=0.745593 lr=0.000567 Epoch[188] Batch [2149]/[3760] Speed: 60.516094 samples/sec accuracy=81.053779 loss=0.745802 lr=0.000565 Epoch[188] Batch [2199]/[3760] Speed: 62.949566 samples/sec accuracy=81.079545 loss=0.744998 lr=0.000563 Epoch[188] 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accuracy=81.192130 loss=0.743127 lr=0.000543 Epoch[188] Batch [2749]/[3760] Speed: 62.487773 samples/sec accuracy=81.182955 loss=0.742972 lr=0.000541 Epoch[188] Batch [2799]/[3760] Speed: 60.679686 samples/sec accuracy=81.178571 loss=0.743144 lr=0.000539 Epoch[188] Batch [2849]/[3760] Speed: 62.701740 samples/sec accuracy=81.181469 loss=0.742756 lr=0.000537 Epoch[188] Batch [2899]/[3760] Speed: 62.160059 samples/sec accuracy=81.202047 loss=0.741986 lr=0.000535 Epoch[188] Batch [2949]/[3760] Speed: 62.319224 samples/sec accuracy=81.186441 loss=0.741960 lr=0.000533 Epoch[188] Batch [2999]/[3760] Speed: 61.724021 samples/sec accuracy=81.192708 loss=0.742170 lr=0.000531 Epoch[188] Batch [3049]/[3760] Speed: 61.819541 samples/sec accuracy=81.178791 loss=0.742802 lr=0.000529 Epoch[188] Batch [3099]/[3760] Speed: 61.246564 samples/sec accuracy=81.200101 loss=0.742515 lr=0.000527 Epoch[188] Batch [3149]/[3760] Speed: 62.315166 samples/sec accuracy=81.198909 loss=0.742604 lr=0.000525 Epoch[188] Batch [3199]/[3760] Speed: 62.135562 samples/sec accuracy=81.191895 loss=0.742652 lr=0.000523 Epoch[188] Batch [3249]/[3760] Speed: 62.491124 samples/sec accuracy=81.178846 loss=0.743240 lr=0.000521 Epoch[188] Batch [3299]/[3760] Speed: 61.932237 samples/sec accuracy=81.189394 loss=0.742897 lr=0.000519 Epoch[188] Batch [3349]/[3760] Speed: 62.294292 samples/sec accuracy=81.183302 loss=0.743041 lr=0.000517 Epoch[188] Batch [3399]/[3760] Speed: 61.526849 samples/sec accuracy=81.186581 loss=0.743078 lr=0.000515 Epoch[188] Batch [3449]/[3760] Speed: 62.191870 samples/sec accuracy=81.189312 loss=0.742788 lr=0.000513 Epoch[188] Batch [3499]/[3760] Speed: 62.204672 samples/sec accuracy=81.191518 loss=0.742737 lr=0.000511 Epoch[188] Batch [3549]/[3760] Speed: 62.529764 samples/sec accuracy=81.201585 loss=0.742503 lr=0.000509 Epoch[188] Batch [3599]/[3760] Speed: 62.375979 samples/sec accuracy=81.196615 loss=0.742935 lr=0.000507 Epoch[188] Batch [3649]/[3760] Speed: 61.874083 samples/sec accuracy=81.204623 loss=0.742759 lr=0.000505 Epoch[188] Batch [3699]/[3760] Speed: 61.027740 samples/sec accuracy=81.202703 loss=0.742702 lr=0.000503 Epoch[188] Batch [3749]/[3760] Speed: 67.881121 samples/sec accuracy=81.213750 loss=0.742456 lr=0.000502 Batch [0049]/[0303]: acc-top1=68.468750 acc-top5=87.406250 Batch [0099]/[0303]: acc-top1=68.890625 acc-top5=87.546875 Batch [0149]/[0303]: acc-top1=68.572917 acc-top5=87.364583 Batch [0199]/[0303]: acc-top1=68.664062 acc-top5=87.539062 Batch [0249]/[0303]: acc-top1=68.593750 acc-top5=87.418750 Batch [0299]/[0303]: acc-top1=68.572917 acc-top5=87.666667 [Epoch 188] training: accuracy=81.208029 loss=0.742546 [Epoch 188] speed: 61 samples/sec time cost: 4204.515294 [Epoch 188] validation: acc-top1=68.517946 acc-top5=87.634076 loss=1.509104 Epoch[189] Batch [0049]/[3759] Speed: 41.115044 samples/sec accuracy=82.156250 loss=0.712612 lr=0.000499 Epoch[189] Batch [0099]/[3759] Speed: 60.355369 samples/sec accuracy=81.843750 loss=0.707317 lr=0.000497 Epoch[189] Batch [0149]/[3759] Speed: 60.655056 samples/sec accuracy=81.802083 loss=0.708102 lr=0.000495 Epoch[189] Batch [0199]/[3759] Speed: 60.826868 samples/sec accuracy=81.789062 loss=0.718645 lr=0.000494 Epoch[189] Batch [0249]/[3759] Speed: 60.471417 samples/sec accuracy=81.750000 loss=0.719048 lr=0.000492 Epoch[189] Batch [0299]/[3759] Speed: 60.869560 samples/sec accuracy=81.390625 loss=0.732579 lr=0.000490 Epoch[189] Batch [0349]/[3759] Speed: 61.910838 samples/sec accuracy=81.611607 loss=0.725229 lr=0.000488 Epoch[189] Batch [0399]/[3759] Speed: 60.689297 samples/sec accuracy=81.664062 loss=0.725599 lr=0.000486 Epoch[189] Batch [0449]/[3759] Speed: 62.328175 samples/sec accuracy=81.677083 loss=0.726051 lr=0.000484 Epoch[189] Batch [0499]/[3759] Speed: 61.506202 samples/sec accuracy=81.678125 loss=0.727880 lr=0.000482 Epoch[189] Batch [0549]/[3759] Speed: 61.740286 samples/sec accuracy=81.642045 loss=0.728097 lr=0.000480 Epoch[189] Batch [0599]/[3759] Speed: 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lr=0.000462 Epoch[189] Batch [1099]/[3759] Speed: 61.583041 samples/sec accuracy=81.414773 loss=0.734171 lr=0.000460 Epoch[189] Batch [1149]/[3759] Speed: 62.069787 samples/sec accuracy=81.461957 loss=0.734258 lr=0.000458 Epoch[189] Batch [1199]/[3759] Speed: 61.324731 samples/sec accuracy=81.484375 loss=0.734229 lr=0.000456 Epoch[189] Batch [1249]/[3759] Speed: 62.432037 samples/sec accuracy=81.492500 loss=0.733561 lr=0.000455 Epoch[189] Batch [1299]/[3759] Speed: 61.829103 samples/sec accuracy=81.510817 loss=0.733170 lr=0.000453 Epoch[189] Batch [1349]/[3759] Speed: 62.218141 samples/sec accuracy=81.542824 loss=0.732227 lr=0.000451 Epoch[189] Batch [1399]/[3759] Speed: 62.052223 samples/sec accuracy=81.540179 loss=0.732557 lr=0.000449 Epoch[189] Batch [1449]/[3759] Speed: 61.601723 samples/sec accuracy=81.545259 loss=0.732778 lr=0.000447 Epoch[189] Batch [1499]/[3759] Speed: 62.098693 samples/sec accuracy=81.509375 loss=0.733208 lr=0.000445 Epoch[189] Batch [1549]/[3759] Speed: 61.951667 samples/sec accuracy=81.493952 loss=0.733613 lr=0.000444 Epoch[189] Batch [1599]/[3759] Speed: 62.543083 samples/sec accuracy=81.516602 loss=0.733468 lr=0.000442 Epoch[189] Batch [1649]/[3759] Speed: 62.143825 samples/sec accuracy=81.520833 loss=0.732834 lr=0.000440 Epoch[189] Batch [1699]/[3759] Speed: 62.287714 samples/sec accuracy=81.539522 loss=0.732415 lr=0.000438 Epoch[189] Batch [1749]/[3759] Speed: 61.187181 samples/sec accuracy=81.550893 loss=0.732380 lr=0.000437 Epoch[189] Batch [1799]/[3759] Speed: 62.179931 samples/sec accuracy=81.537326 loss=0.733460 lr=0.000435 Epoch[189] Batch [1849]/[3759] Speed: 62.126805 samples/sec accuracy=81.515203 loss=0.732835 lr=0.000433 Epoch[189] Batch [1899]/[3759] Speed: 62.407498 samples/sec accuracy=81.541941 loss=0.732056 lr=0.000431 Epoch[189] Batch [1949]/[3759] Speed: 61.962893 samples/sec accuracy=81.556090 loss=0.731453 lr=0.000429 Epoch[189] Batch [1999]/[3759] Speed: 62.626876 samples/sec accuracy=81.569531 loss=0.730484 lr=0.000428 Epoch[189] Batch [2049]/[3759] Speed: 61.767441 samples/sec accuracy=81.602896 loss=0.729563 lr=0.000426 Epoch[189] Batch [2099]/[3759] Speed: 62.127778 samples/sec accuracy=81.620536 loss=0.729105 lr=0.000424 Epoch[189] Batch [2149]/[3759] Speed: 62.170658 samples/sec accuracy=81.609012 loss=0.729253 lr=0.000422 Epoch[189] Batch [2199]/[3759] Speed: 62.143269 samples/sec accuracy=81.614347 loss=0.729101 lr=0.000421 Epoch[189] Batch [2249]/[3759] Speed: 62.397433 samples/sec accuracy=81.604861 loss=0.729872 lr=0.000419 Epoch[189] Batch [2299]/[3759] Speed: 62.537398 samples/sec accuracy=81.580842 loss=0.729946 lr=0.000417 Epoch[189] Batch [2349]/[3759] Speed: 61.408549 samples/sec accuracy=81.599734 loss=0.729296 lr=0.000415 Epoch[189] Batch [2399]/[3759] Speed: 62.021200 samples/sec accuracy=81.605469 loss=0.729133 lr=0.000414 Epoch[189] Batch [2449]/[3759] Speed: 62.535015 samples/sec accuracy=81.596301 loss=0.729656 lr=0.000412 Epoch[189] Batch [2499]/[3759] Speed: 62.193174 samples/sec accuracy=81.604375 loss=0.729385 lr=0.000410 Epoch[189] Batch [2549]/[3759] Speed: 61.836906 samples/sec accuracy=81.594363 loss=0.728801 lr=0.000408 Epoch[189] Batch [2599]/[3759] Speed: 60.625807 samples/sec accuracy=81.595553 loss=0.729002 lr=0.000407 Epoch[189] Batch [2649]/[3759] Speed: 63.076200 samples/sec accuracy=81.607901 loss=0.728483 lr=0.000405 Epoch[189] Batch [2699]/[3759] Speed: 62.257764 samples/sec accuracy=81.602431 loss=0.728240 lr=0.000403 Epoch[189] Batch [2749]/[3759] Speed: 62.135795 samples/sec accuracy=81.623864 loss=0.727804 lr=0.000402 Epoch[189] Batch [2799]/[3759] Speed: 62.280101 samples/sec accuracy=81.633371 loss=0.727264 lr=0.000400 Epoch[189] Batch [2849]/[3759] Speed: 62.184179 samples/sec accuracy=81.642544 loss=0.726897 lr=0.000398 Epoch[189] Batch [2899]/[3759] Speed: 60.944790 samples/sec accuracy=81.664871 loss=0.726291 lr=0.000396 Epoch[189] Batch [2949]/[3759] Speed: 63.577936 samples/sec accuracy=81.681144 loss=0.725648 lr=0.000395 Epoch[189] Batch [2999]/[3759] Speed: 62.060284 samples/sec accuracy=81.679688 loss=0.725574 lr=0.000393 Epoch[189] Batch [3049]/[3759] Speed: 62.586445 samples/sec accuracy=81.684939 loss=0.725520 lr=0.000391 Epoch[189] Batch [3099]/[3759] Speed: 62.232400 samples/sec accuracy=81.683468 loss=0.725590 lr=0.000390 Epoch[189] Batch [3149]/[3759] Speed: 62.138091 samples/sec accuracy=81.694444 loss=0.725076 lr=0.000388 Epoch[189] Batch [3199]/[3759] Speed: 60.831344 samples/sec accuracy=81.684082 loss=0.725298 lr=0.000386 Epoch[189] Batch [3249]/[3759] Speed: 63.232504 samples/sec accuracy=81.674519 loss=0.725231 lr=0.000385 Epoch[189] Batch [3299]/[3759] Speed: 62.479616 samples/sec accuracy=81.676136 loss=0.725093 lr=0.000383 Epoch[189] Batch [3349]/[3759] Speed: 62.334308 samples/sec accuracy=81.685168 loss=0.724913 lr=0.000381 Epoch[189] Batch [3399]/[3759] Speed: 62.491838 samples/sec accuracy=81.698529 loss=0.724649 lr=0.000380 Epoch[189] Batch [3449]/[3759] Speed: 62.071439 samples/sec accuracy=81.692482 loss=0.724793 lr=0.000378 Epoch[189] Batch [3499]/[3759] Speed: 61.081297 samples/sec accuracy=81.681250 loss=0.724954 lr=0.000376 Epoch[189] Batch [3549]/[3759] Speed: 63.049283 samples/sec accuracy=81.683979 loss=0.725095 lr=0.000375 Epoch[189] Batch [3599]/[3759] Speed: 62.281786 samples/sec accuracy=81.682726 loss=0.725397 lr=0.000373 Epoch[189] Batch [3649]/[3759] Speed: 61.995182 samples/sec accuracy=81.675514 loss=0.725246 lr=0.000371 Epoch[189] Batch [3699]/[3759] Speed: 62.302351 samples/sec accuracy=81.677787 loss=0.725331 lr=0.000370 Epoch[189] Batch [3749]/[3759] Speed: 67.507311 samples/sec accuracy=81.683750 loss=0.725247 lr=0.000368 Batch [0049]/[0303]: acc-top1=68.593750 acc-top5=87.375000 Batch [0099]/[0303]: acc-top1=69.406250 acc-top5=87.656250 Batch [0149]/[0303]: acc-top1=69.093750 acc-top5=87.447917 Batch [0199]/[0303]: acc-top1=69.250000 acc-top5=87.695312 Batch [0249]/[0303]: acc-top1=69.112500 acc-top5=87.606250 Batch [0299]/[0303]: acc-top1=69.052083 acc-top5=87.875000 [Epoch 189] training: accuracy=81.685206 loss=0.725113 [Epoch 189] speed: 61 samples/sec time cost: 4192.919969 [Epoch 189] validation: acc-top1=69.007838 acc-top5=87.840347 loss=1.490401 Epoch[190] Batch [0049]/[3760] Speed: 41.380772 samples/sec accuracy=82.156250 loss=0.705548 lr=0.000366 Epoch[190] Batch [0099]/[3760] Speed: 59.816192 samples/sec accuracy=82.218750 loss=0.706449 lr=0.000365 Epoch[190] Batch [0149]/[3760] Speed: 61.241940 samples/sec accuracy=82.562500 loss=0.704397 lr=0.000363 Epoch[190] Batch [0199]/[3760] Speed: 60.653740 samples/sec accuracy=82.765625 loss=0.692559 lr=0.000361 Epoch[190] Batch [0249]/[3760] Speed: 61.821910 samples/sec accuracy=82.512500 loss=0.698013 lr=0.000360 Epoch[190] Batch [0299]/[3760] Speed: 61.050570 samples/sec accuracy=82.307292 loss=0.702832 lr=0.000358 Epoch[190] Batch [0349]/[3760] Speed: 60.977756 samples/sec accuracy=82.303571 loss=0.699383 lr=0.000356 Epoch[190] Batch 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accuracy=82.023897 loss=0.713017 lr=0.000340 Epoch[190] Batch [0899]/[3760] Speed: 61.166479 samples/sec accuracy=82.019097 loss=0.712192 lr=0.000339 Epoch[190] Batch [0949]/[3760] Speed: 62.002596 samples/sec accuracy=82.075658 loss=0.710994 lr=0.000337 Epoch[190] Batch [0999]/[3760] Speed: 60.750401 samples/sec accuracy=82.043750 loss=0.712503 lr=0.000336 Epoch[190] Batch [1049]/[3760] Speed: 62.052065 samples/sec accuracy=82.028274 loss=0.712472 lr=0.000334 Epoch[190] Batch [1099]/[3760] Speed: 61.968284 samples/sec accuracy=82.029830 loss=0.712978 lr=0.000333 Epoch[190] Batch [1149]/[3760] Speed: 62.144004 samples/sec accuracy=82.076087 loss=0.711010 lr=0.000331 Epoch[190] Batch [1199]/[3760] Speed: 62.066545 samples/sec accuracy=82.037760 loss=0.713126 lr=0.000330 Epoch[190] Batch [1249]/[3760] Speed: 61.806381 samples/sec accuracy=82.006250 loss=0.714657 lr=0.000328 Epoch[190] Batch [1299]/[3760] Speed: 61.615249 samples/sec accuracy=81.974760 loss=0.716232 lr=0.000326 Epoch[190] 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accuracy=81.993924 loss=0.717282 lr=0.000311 Epoch[190] Batch [1849]/[3760] Speed: 62.367330 samples/sec accuracy=81.959459 loss=0.719179 lr=0.000310 Epoch[190] Batch [1899]/[3760] Speed: 60.747116 samples/sec accuracy=81.981908 loss=0.717586 lr=0.000308 Epoch[190] Batch [1949]/[3760] Speed: 63.356313 samples/sec accuracy=81.951923 loss=0.718295 lr=0.000307 Epoch[190] Batch [1999]/[3760] Speed: 62.125903 samples/sec accuracy=81.971875 loss=0.717371 lr=0.000305 Epoch[190] Batch [2049]/[3760] Speed: 62.063887 samples/sec accuracy=81.995427 loss=0.716808 lr=0.000304 Epoch[190] Batch [2099]/[3760] Speed: 62.045214 samples/sec accuracy=81.994792 loss=0.716460 lr=0.000302 Epoch[190] Batch [2149]/[3760] Speed: 62.410329 samples/sec accuracy=81.988372 loss=0.716284 lr=0.000301 Epoch[190] Batch [2199]/[3760] Speed: 62.332789 samples/sec accuracy=81.963778 loss=0.716964 lr=0.000299 Epoch[190] Batch [2249]/[3760] Speed: 61.337553 samples/sec accuracy=81.968750 loss=0.716508 lr=0.000298 Epoch[190] Batch [2299]/[3760] Speed: 62.091581 samples/sec accuracy=81.972147 loss=0.715759 lr=0.000296 Epoch[190] Batch [2349]/[3760] Speed: 62.783037 samples/sec accuracy=81.965426 loss=0.716153 lr=0.000295 Epoch[190] Batch [2399]/[3760] Speed: 62.484048 samples/sec accuracy=81.960938 loss=0.715926 lr=0.000293 Epoch[190] Batch [2449]/[3760] Speed: 62.435319 samples/sec accuracy=81.965561 loss=0.716100 lr=0.000292 Epoch[190] Batch [2499]/[3760] Speed: 62.428976 samples/sec accuracy=81.952500 loss=0.716127 lr=0.000290 Epoch[190] Batch [2549]/[3760] Speed: 61.420523 samples/sec accuracy=81.941176 loss=0.716191 lr=0.000289 Epoch[190] Batch [2599]/[3760] Speed: 62.412508 samples/sec accuracy=81.936899 loss=0.716702 lr=0.000288 Epoch[190] Batch [2649]/[3760] Speed: 62.048953 samples/sec accuracy=81.942807 loss=0.716450 lr=0.000286 Epoch[190] Batch [2699]/[3760] Speed: 62.426403 samples/sec accuracy=81.920718 loss=0.716941 lr=0.000285 Epoch[190] Batch [2749]/[3760] Speed: 62.083307 samples/sec accuracy=81.917045 loss=0.716985 lr=0.000283 Epoch[190] Batch [2799]/[3760] Speed: 62.506709 samples/sec accuracy=81.908482 loss=0.717639 lr=0.000282 Epoch[190] Batch [2849]/[3760] Speed: 61.326738 samples/sec accuracy=81.904605 loss=0.717694 lr=0.000280 Epoch[190] Batch [2899]/[3760] Speed: 62.260428 samples/sec accuracy=81.886853 loss=0.718185 lr=0.000279 Epoch[190] Batch [2949]/[3760] Speed: 62.289514 samples/sec accuracy=81.900424 loss=0.718287 lr=0.000277 Epoch[190] Batch [2999]/[3760] Speed: 62.242164 samples/sec accuracy=81.905208 loss=0.718116 lr=0.000276 Epoch[190] Batch [3049]/[3760] Speed: 62.570281 samples/sec accuracy=81.907275 loss=0.717998 lr=0.000275 Epoch[190] Batch [3099]/[3760] Speed: 62.123947 samples/sec accuracy=81.916331 loss=0.717641 lr=0.000273 Epoch[190] Batch [3149]/[3760] Speed: 60.590930 samples/sec accuracy=81.913194 loss=0.718067 lr=0.000272 Epoch[190] Batch [3199]/[3760] Speed: 63.511603 samples/sec accuracy=81.894531 loss=0.718230 lr=0.000270 Epoch[190] Batch [3249]/[3760] Speed: 62.474050 samples/sec accuracy=81.904808 loss=0.718183 lr=0.000269 Epoch[190] Batch [3299]/[3760] Speed: 61.768047 samples/sec accuracy=81.900095 loss=0.718229 lr=0.000268 Epoch[190] Batch [3349]/[3760] Speed: 62.873307 samples/sec accuracy=81.897388 loss=0.718309 lr=0.000266 Epoch[190] Batch [3399]/[3760] Speed: 62.069865 samples/sec accuracy=81.900735 loss=0.717973 lr=0.000265 Epoch[190] Batch [3449]/[3760] Speed: 62.537402 samples/sec accuracy=81.899004 loss=0.718167 lr=0.000263 Epoch[190] Batch [3499]/[3760] Speed: 61.024627 samples/sec accuracy=81.912946 loss=0.717932 lr=0.000262 Epoch[190] Batch [3549]/[3760] Speed: 62.527432 samples/sec accuracy=81.923856 loss=0.717491 lr=0.000261 Epoch[190] Batch [3599]/[3760] Speed: 62.192913 samples/sec accuracy=81.941406 loss=0.716873 lr=0.000259 Epoch[190] Batch [3649]/[3760] Speed: 62.139631 samples/sec accuracy=81.940497 loss=0.716922 lr=0.000258 Epoch[190] Batch [3699]/[3760] Speed: 62.441101 samples/sec accuracy=81.928632 loss=0.717232 lr=0.000257 Epoch[190] Batch [3749]/[3760] Speed: 67.716785 samples/sec accuracy=81.940417 loss=0.717147 lr=0.000255 Batch [0049]/[0303]: acc-top1=69.125000 acc-top5=87.437500 Batch [0099]/[0303]: acc-top1=69.609375 acc-top5=87.718750 Batch [0149]/[0303]: acc-top1=69.135417 acc-top5=87.635417 Batch [0199]/[0303]: acc-top1=69.250000 acc-top5=87.835938 Batch [0249]/[0303]: acc-top1=69.150000 acc-top5=87.756250 Batch [0299]/[0303]: acc-top1=69.098958 acc-top5=87.921875 [Epoch 190] training: accuracy=81.941074 loss=0.717040 [Epoch 190] speed: 61 samples/sec time cost: 4192.476325 [Epoch 190] validation: acc-top1=69.059406 acc-top5=87.891914 loss=1.492016 Epoch[191] Batch [0049]/[3760] Speed: 41.039910 samples/sec accuracy=83.031250 loss=0.669159 lr=0.000254 Epoch[191] Batch [0099]/[3760] Speed: 61.186430 samples/sec accuracy=82.703125 loss=0.675802 lr=0.000252 Epoch[191] Batch [0149]/[3760] Speed: 60.879893 samples/sec accuracy=82.541667 loss=0.687595 lr=0.000251 Epoch[191] Batch [0199]/[3760] Speed: 61.260536 samples/sec accuracy=82.476562 loss=0.692227 lr=0.000249 Epoch[191] Batch [0249]/[3760] Speed: 61.801637 samples/sec accuracy=82.500000 loss=0.691105 lr=0.000248 Epoch[191] Batch [0299]/[3760] Speed: 61.295694 samples/sec accuracy=82.536458 loss=0.692237 lr=0.000247 Epoch[191] Batch [0349]/[3760] Speed: 61.516973 samples/sec accuracy=82.348214 loss=0.698560 lr=0.000245 Epoch[191] Batch [0399]/[3760] Speed: 62.145995 samples/sec accuracy=82.136719 loss=0.705042 lr=0.000244 Epoch[191] Batch [0449]/[3760] Speed: 62.476416 samples/sec accuracy=82.215278 loss=0.702051 lr=0.000243 Epoch[191] Batch [0499]/[3760] Speed: 61.354969 samples/sec accuracy=82.253125 loss=0.701867 lr=0.000241 Epoch[191] Batch [0549]/[3760] Speed: 62.719960 samples/sec accuracy=82.235795 loss=0.702230 lr=0.000240 Epoch[191] Batch [0599]/[3760] Speed: 61.861155 samples/sec accuracy=82.265625 loss=0.702352 lr=0.000239 Epoch[191] Batch [0649]/[3760] Speed: 61.863510 samples/sec accuracy=82.242788 loss=0.701109 lr=0.000237 Epoch[191] Batch [0699]/[3760] Speed: 61.872793 samples/sec accuracy=82.196429 loss=0.701520 lr=0.000236 Epoch[191] Batch [0749]/[3760] Speed: 62.229588 samples/sec accuracy=82.156250 loss=0.703019 lr=0.000235 Epoch[191] Batch [0799]/[3760] Speed: 62.493519 samples/sec accuracy=82.185547 loss=0.702323 lr=0.000234 Epoch[191] Batch [0849]/[3760] Speed: 62.283016 samples/sec accuracy=82.213235 loss=0.700666 lr=0.000232 Epoch[191] Batch [0899]/[3760] Speed: 62.286207 samples/sec accuracy=82.237847 loss=0.700105 lr=0.000231 Epoch[191] Batch [0949]/[3760] Speed: 61.831481 samples/sec accuracy=82.245066 loss=0.699338 lr=0.000230 Epoch[191] Batch [0999]/[3760] Speed: 62.368943 samples/sec accuracy=82.228125 loss=0.700910 lr=0.000228 Epoch[191] Batch [1049]/[3760] Speed: 62.453707 samples/sec accuracy=82.238095 loss=0.700091 lr=0.000227 Epoch[191] Batch [1099]/[3760] Speed: 62.610514 samples/sec accuracy=82.235795 loss=0.701132 lr=0.000226 Epoch[191] Batch [1149]/[3760] Speed: 62.275150 samples/sec accuracy=82.220109 loss=0.702854 lr=0.000224 Epoch[191] Batch [1199]/[3760] Speed: 62.220492 samples/sec accuracy=82.244792 loss=0.701087 lr=0.000223 Epoch[191] Batch [1249]/[3760] Speed: 62.155778 samples/sec accuracy=82.248750 loss=0.700865 lr=0.000222 Epoch[191] Batch [1299]/[3760] Speed: 62.246145 samples/sec accuracy=82.230769 loss=0.700837 lr=0.000221 Epoch[191] Batch [1349]/[3760] Speed: 62.488120 samples/sec accuracy=82.225694 loss=0.700630 lr=0.000219 Epoch[191] Batch [1399]/[3760] Speed: 62.303692 samples/sec accuracy=82.204241 loss=0.701290 lr=0.000218 Epoch[191] Batch [1449]/[3760] Speed: 62.728209 samples/sec accuracy=82.186422 loss=0.701798 lr=0.000217 Epoch[191] Batch [1499]/[3760] Speed: 62.455568 samples/sec accuracy=82.161458 loss=0.701939 lr=0.000216 Epoch[191] Batch [1549]/[3760] Speed: 61.901737 samples/sec accuracy=82.162298 loss=0.702756 lr=0.000214 Epoch[191] Batch [1599]/[3760] Speed: 62.516159 samples/sec accuracy=82.199219 loss=0.701633 lr=0.000213 Epoch[191] Batch [1649]/[3760] Speed: 62.211871 samples/sec accuracy=82.232008 loss=0.700328 lr=0.000212 Epoch[191] Batch [1699]/[3760] Speed: 62.526608 samples/sec accuracy=82.246324 loss=0.699764 lr=0.000211 Epoch[191] Batch [1749]/[3760] Speed: 62.616128 samples/sec accuracy=82.225893 loss=0.700269 lr=0.000209 Epoch[191] Batch [1799]/[3760] Speed: 62.369482 samples/sec accuracy=82.216146 loss=0.701340 lr=0.000208 Epoch[191] Batch [1849]/[3760] Speed: 61.381597 samples/sec accuracy=82.211993 loss=0.701528 lr=0.000207 Epoch[191] Batch [1899]/[3760] Speed: 62.690082 samples/sec accuracy=82.223684 loss=0.700995 lr=0.000206 Epoch[191] Batch [1949]/[3760] Speed: 61.934950 samples/sec accuracy=82.245994 loss=0.700694 lr=0.000204 Epoch[191] Batch [1999]/[3760] Speed: 62.250151 samples/sec accuracy=82.203906 loss=0.702417 lr=0.000203 Epoch[191] Batch [2049]/[3760] Speed: 62.155029 samples/sec accuracy=82.211890 loss=0.702495 lr=0.000202 Epoch[191] Batch [2099]/[3760] Speed: 62.232871 samples/sec accuracy=82.228423 loss=0.702320 lr=0.000201 Epoch[191] Batch [2149]/[3760] Speed: 61.763198 samples/sec accuracy=82.235465 loss=0.702296 lr=0.000200 Epoch[191] Batch [2199]/[3760] Speed: 62.033024 samples/sec accuracy=82.230824 loss=0.702584 lr=0.000198 Epoch[191] Batch [2249]/[3760] Speed: 62.737633 samples/sec accuracy=82.207639 loss=0.703705 lr=0.000197 Epoch[191] Batch [2299]/[3760] Speed: 62.465882 samples/sec accuracy=82.196332 loss=0.703923 lr=0.000196 Epoch[191] Batch [2349]/[3760] Speed: 62.407208 samples/sec accuracy=82.184176 loss=0.704202 lr=0.000195 Epoch[191] Batch [2399]/[3760] Speed: 62.305628 samples/sec accuracy=82.190104 loss=0.704153 lr=0.000194 Epoch[191] Batch [2449]/[3760] Speed: 61.808344 samples/sec accuracy=82.195153 loss=0.704307 lr=0.000192 Epoch[191] Batch [2499]/[3760] Speed: 62.015320 samples/sec accuracy=82.218125 loss=0.703672 lr=0.000191 Epoch[191] Batch [2549]/[3760] Speed: 62.355238 samples/sec accuracy=82.202819 loss=0.704900 lr=0.000190 Epoch[191] Batch [2599]/[3760] Speed: 62.591933 samples/sec accuracy=82.187500 loss=0.705178 lr=0.000189 Epoch[191] Batch [2649]/[3760] Speed: 62.432048 samples/sec accuracy=82.193396 loss=0.705011 lr=0.000188 Epoch[191] Batch [2699]/[3760] Speed: 62.495262 samples/sec accuracy=82.209491 loss=0.704419 lr=0.000187 Epoch[191] Batch [2749]/[3760] Speed: 61.719669 samples/sec accuracy=82.196591 loss=0.705177 lr=0.000185 Epoch[191] Batch [2799]/[3760] Speed: 62.551669 samples/sec accuracy=82.193638 loss=0.705163 lr=0.000184 Epoch[191] Batch [2849]/[3760] Speed: 62.447643 samples/sec accuracy=82.191886 loss=0.705075 lr=0.000183 Epoch[191] Batch [2899]/[3760] Speed: 62.794710 samples/sec accuracy=82.202047 loss=0.704419 lr=0.000182 Epoch[191] Batch [2949]/[3760] Speed: 62.212688 samples/sec accuracy=82.207097 loss=0.704124 lr=0.000181 Epoch[191] Batch [2999]/[3760] Speed: 62.605254 samples/sec accuracy=82.230208 loss=0.703115 lr=0.000180 Epoch[191] Batch [3049]/[3760] Speed: 61.391182 samples/sec accuracy=82.239242 loss=0.702826 lr=0.000178 Epoch[191] Batch [3099]/[3760] Speed: 62.224966 samples/sec accuracy=82.231855 loss=0.703034 lr=0.000177 Epoch[191] Batch [3149]/[3760] Speed: 62.249357 samples/sec accuracy=82.232143 loss=0.703149 lr=0.000176 Epoch[191] Batch [3199]/[3760] Speed: 62.097922 samples/sec accuracy=82.234375 loss=0.703043 lr=0.000175 Epoch[191] Batch [3249]/[3760] Speed: 62.356661 samples/sec accuracy=82.256731 loss=0.702516 lr=0.000174 Epoch[191] Batch [3299]/[3760] Speed: 62.793027 samples/sec accuracy=82.264678 loss=0.702544 lr=0.000173 Epoch[191] Batch [3349]/[3760] Speed: 61.257836 samples/sec accuracy=82.257463 loss=0.702535 lr=0.000172 Epoch[191] Batch [3399]/[3760] Speed: 62.391263 samples/sec accuracy=82.253676 loss=0.702551 lr=0.000171 Epoch[191] Batch [3449]/[3760] Speed: 62.323563 samples/sec accuracy=82.245018 loss=0.702640 lr=0.000169 Epoch[191] Batch [3499]/[3760] Speed: 62.513279 samples/sec accuracy=82.254911 loss=0.702541 lr=0.000168 Epoch[191] Batch [3549]/[3760] Speed: 62.000877 samples/sec accuracy=82.261884 loss=0.702412 lr=0.000167 Epoch[191] Batch [3599]/[3760] Speed: 62.498883 samples/sec accuracy=82.265625 loss=0.702325 lr=0.000166 Epoch[191] Batch [3649]/[3760] Speed: 61.804924 samples/sec accuracy=82.256849 loss=0.702656 lr=0.000165 Epoch[191] Batch [3699]/[3760] Speed: 62.476719 samples/sec accuracy=82.258024 loss=0.702312 lr=0.000164 Epoch[191] Batch [3749]/[3760] Speed: 67.242269 samples/sec accuracy=82.242917 loss=0.702759 lr=0.000163 Batch [0049]/[0303]: acc-top1=68.843750 acc-top5=87.500000 Batch [0099]/[0303]: acc-top1=69.546875 acc-top5=87.796875 Batch [0149]/[0303]: acc-top1=69.156250 acc-top5=87.666667 Batch [0199]/[0303]: acc-top1=69.242188 acc-top5=87.812500 Batch [0249]/[0303]: acc-top1=69.162500 acc-top5=87.712500 Batch [0299]/[0303]: acc-top1=69.031250 acc-top5=87.927083 [Epoch 191] training: accuracy=82.241938 loss=0.702671 [Epoch 191] speed: 61 samples/sec time cost: 4180.467315 [Epoch 191] validation: acc-top1=69.007838 acc-top5=87.891914 loss=1.494363 Epoch[192] Batch [0049]/[3759] Speed: 42.144125 samples/sec accuracy=83.437500 loss=0.659407 lr=0.000162 Epoch[192] Batch [0099]/[3759] Speed: 60.088904 samples/sec accuracy=82.671875 loss=0.688579 lr=0.000160 Epoch[192] Batch [0149]/[3759] Speed: 59.675050 samples/sec accuracy=82.541667 loss=0.689842 lr=0.000159 Epoch[192] Batch [0199]/[3759] Speed: 61.750093 samples/sec accuracy=82.414062 loss=0.693215 lr=0.000158 Epoch[192] Batch [0249]/[3759] Speed: 61.772891 samples/sec accuracy=82.443750 loss=0.700771 lr=0.000157 Epoch[192] Batch [0299]/[3759] Speed: 61.049818 samples/sec accuracy=82.541667 loss=0.698256 lr=0.000156 Epoch[192] Batch [0349]/[3759] Speed: 61.866091 samples/sec accuracy=82.517857 loss=0.702920 lr=0.000155 Epoch[192] Batch [0399]/[3759] Speed: 60.986674 samples/sec accuracy=82.503906 loss=0.700312 lr=0.000154 Epoch[192] Batch 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accuracy=82.442708 loss=0.698643 lr=0.000144 Epoch[192] Batch [0949]/[3759] Speed: 62.416205 samples/sec accuracy=82.455592 loss=0.698346 lr=0.000143 Epoch[192] Batch [0999]/[3759] Speed: 61.260127 samples/sec accuracy=82.376562 loss=0.700867 lr=0.000142 Epoch[192] Batch [1049]/[3759] Speed: 60.691001 samples/sec accuracy=82.418155 loss=0.699357 lr=0.000141 Epoch[192] Batch [1099]/[3759] Speed: 62.642153 samples/sec accuracy=82.431818 loss=0.699336 lr=0.000140 Epoch[192] Batch [1149]/[3759] Speed: 62.173662 samples/sec accuracy=82.358696 loss=0.701301 lr=0.000139 Epoch[192] Batch [1199]/[3759] Speed: 62.098638 samples/sec accuracy=82.338542 loss=0.700461 lr=0.000137 Epoch[192] Batch [1249]/[3759] Speed: 62.253451 samples/sec accuracy=82.331250 loss=0.700424 lr=0.000136 Epoch[192] Batch [1299]/[3759] Speed: 62.279747 samples/sec accuracy=82.382212 loss=0.699075 lr=0.000135 Epoch[192] Batch [1349]/[3759] Speed: 60.237098 samples/sec accuracy=82.423611 loss=0.697483 lr=0.000135 Epoch[192] 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accuracy=82.356419 loss=0.697876 lr=0.000125 Epoch[192] Batch [1899]/[3759] Speed: 62.685438 samples/sec accuracy=82.355263 loss=0.698216 lr=0.000124 Epoch[192] Batch [1949]/[3759] Speed: 61.651200 samples/sec accuracy=82.379006 loss=0.697364 lr=0.000123 Epoch[192] Batch [1999]/[3759] Speed: 61.827368 samples/sec accuracy=82.386719 loss=0.697939 lr=0.000122 Epoch[192] Batch [2049]/[3759] Speed: 61.965943 samples/sec accuracy=82.387957 loss=0.698741 lr=0.000121 Epoch[192] Batch [2099]/[3759] Speed: 62.395852 samples/sec accuracy=82.395833 loss=0.698718 lr=0.000120 Epoch[192] Batch [2149]/[3759] Speed: 61.668643 samples/sec accuracy=82.395349 loss=0.699439 lr=0.000119 Epoch[192] Batch [2199]/[3759] Speed: 62.269026 samples/sec accuracy=82.393466 loss=0.699437 lr=0.000118 Epoch[192] Batch [2249]/[3759] Speed: 62.010053 samples/sec accuracy=82.404167 loss=0.699320 lr=0.000117 Epoch[192] Batch [2299]/[3759] Speed: 61.523156 samples/sec accuracy=82.408967 loss=0.699400 lr=0.000116 Epoch[192] 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accuracy=82.371094 loss=0.699962 lr=0.000107 Epoch[192] Batch [2849]/[3759] Speed: 62.210936 samples/sec accuracy=82.371711 loss=0.699612 lr=0.000106 Epoch[192] Batch [2899]/[3759] Speed: 61.711578 samples/sec accuracy=82.369612 loss=0.699222 lr=0.000106 Epoch[192] Batch [2949]/[3759] Speed: 62.109958 samples/sec accuracy=82.381886 loss=0.699048 lr=0.000105 Epoch[192] Batch [2999]/[3759] Speed: 62.395868 samples/sec accuracy=82.379167 loss=0.699089 lr=0.000104 Epoch[192] Batch [3049]/[3759] Speed: 62.716454 samples/sec accuracy=82.383197 loss=0.699568 lr=0.000103 Epoch[192] Batch [3099]/[3759] Speed: 62.523738 samples/sec accuracy=82.380544 loss=0.699525 lr=0.000102 Epoch[192] Batch [3149]/[3759] Speed: 62.532821 samples/sec accuracy=82.377480 loss=0.699532 lr=0.000101 Epoch[192] Batch [3199]/[3759] Speed: 61.688213 samples/sec accuracy=82.381348 loss=0.699312 lr=0.000100 Epoch[192] Batch [3249]/[3759] Speed: 62.481168 samples/sec accuracy=82.389904 loss=0.698840 lr=0.000099 Epoch[192] Batch [3299]/[3759] Speed: 62.190089 samples/sec accuracy=82.375947 loss=0.699167 lr=0.000099 Epoch[192] Batch [3349]/[3759] Speed: 62.508167 samples/sec accuracy=82.388993 loss=0.698912 lr=0.000098 Epoch[192] Batch [3399]/[3759] Speed: 62.547441 samples/sec accuracy=82.370864 loss=0.699648 lr=0.000097 Epoch[192] Batch [3449]/[3759] Speed: 62.066546 samples/sec accuracy=82.383152 loss=0.699192 lr=0.000096 Epoch[192] Batch [3499]/[3759] Speed: 61.024676 samples/sec accuracy=82.409375 loss=0.698468 lr=0.000095 Epoch[192] Batch [3549]/[3759] Speed: 62.653023 samples/sec accuracy=82.431778 loss=0.697585 lr=0.000094 Epoch[192] Batch [3599]/[3759] Speed: 62.228042 samples/sec accuracy=82.427951 loss=0.697720 lr=0.000094 Epoch[192] Batch [3649]/[3759] Speed: 62.589547 samples/sec accuracy=82.428510 loss=0.697782 lr=0.000093 Epoch[192] Batch [3699]/[3759] Speed: 61.941631 samples/sec accuracy=82.438767 loss=0.697597 lr=0.000092 Epoch[192] Batch [3749]/[3759] Speed: 67.407451 samples/sec accuracy=82.438750 loss=0.697307 lr=0.000091 Batch [0049]/[0303]: acc-top1=69.281250 acc-top5=87.562500 Batch [0099]/[0303]: acc-top1=69.859375 acc-top5=87.781250 Batch [0149]/[0303]: acc-top1=69.229167 acc-top5=87.697917 Batch [0199]/[0303]: acc-top1=69.320312 acc-top5=87.898438 Batch [0249]/[0303]: acc-top1=69.156250 acc-top5=87.818750 Batch [0299]/[0303]: acc-top1=69.098958 acc-top5=87.968750 [Epoch 192] training: accuracy=82.438814 loss=0.697172 [Epoch 192] speed: 61 samples/sec time cost: 4191.188638 [Epoch 192] validation: acc-top1=69.054249 acc-top5=87.938325 loss=1.492296 Epoch[193] Batch [0049]/[3760] Speed: 41.894154 samples/sec accuracy=82.625000 loss=0.683193 lr=0.000090 Epoch[193] Batch [0099]/[3760] Speed: 60.637964 samples/sec accuracy=82.562500 loss=0.691939 lr=0.000089 Epoch[193] Batch [0149]/[3760] Speed: 61.211305 samples/sec accuracy=82.593750 loss=0.691338 lr=0.000089 Epoch[193] Batch [0199]/[3760] Speed: 61.203987 samples/sec accuracy=82.734375 loss=0.690445 lr=0.000088 Epoch[193] Batch [0249]/[3760] Speed: 61.125463 samples/sec accuracy=82.937500 loss=0.688088 lr=0.000087 Epoch[193] Batch [0299]/[3760] Speed: 59.016669 samples/sec accuracy=82.848958 loss=0.694507 lr=0.000086 Epoch[193] Batch [0349]/[3760] Speed: 63.735470 samples/sec accuracy=82.665179 loss=0.695340 lr=0.000085 Epoch[193] Batch [0399]/[3760] Speed: 61.461721 samples/sec accuracy=82.644531 loss=0.695190 lr=0.000085 Epoch[193] Batch [0449]/[3760] Speed: 62.636823 samples/sec accuracy=82.552083 loss=0.700313 lr=0.000084 Epoch[193] Batch [0499]/[3760] Speed: 62.155782 samples/sec accuracy=82.696875 loss=0.695963 lr=0.000083 Epoch[193] Batch [0549]/[3760] Speed: 62.365452 samples/sec accuracy=82.659091 loss=0.696178 lr=0.000082 Epoch[193] Batch [0599]/[3760] Speed: 62.155969 samples/sec accuracy=82.658854 loss=0.696484 lr=0.000081 Epoch[193] Batch [0649]/[3760] Speed: 61.693404 samples/sec accuracy=82.586538 loss=0.698908 lr=0.000081 Epoch[193] Batch [0699]/[3760] Speed: 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lr=0.000073 Epoch[193] Batch [1199]/[3760] Speed: 61.756233 samples/sec accuracy=82.503906 loss=0.696600 lr=0.000072 Epoch[193] Batch [1249]/[3760] Speed: 61.653795 samples/sec accuracy=82.527500 loss=0.694911 lr=0.000072 Epoch[193] Batch [1299]/[3760] Speed: 62.058821 samples/sec accuracy=82.562500 loss=0.693716 lr=0.000071 Epoch[193] Batch [1349]/[3760] Speed: 62.344616 samples/sec accuracy=82.559028 loss=0.694405 lr=0.000070 Epoch[193] Batch [1399]/[3760] Speed: 62.183510 samples/sec accuracy=82.547991 loss=0.694570 lr=0.000070 Epoch[193] Batch [1449]/[3760] Speed: 62.666767 samples/sec accuracy=82.538793 loss=0.695041 lr=0.000069 Epoch[193] Batch [1499]/[3760] Speed: 62.286198 samples/sec accuracy=82.509375 loss=0.696281 lr=0.000068 Epoch[193] Batch [1549]/[3760] Speed: 61.443462 samples/sec accuracy=82.530242 loss=0.695171 lr=0.000067 Epoch[193] Batch [1599]/[3760] Speed: 61.935455 samples/sec accuracy=82.537109 loss=0.694949 lr=0.000067 Epoch[193] Batch [1649]/[3760] Speed: 62.253624 samples/sec accuracy=82.523674 loss=0.694958 lr=0.000066 Epoch[193] Batch [1699]/[3760] Speed: 62.715851 samples/sec accuracy=82.523897 loss=0.695228 lr=0.000065 Epoch[193] Batch [1749]/[3760] Speed: 62.321105 samples/sec accuracy=82.499107 loss=0.696113 lr=0.000065 Epoch[193] Batch [1799]/[3760] Speed: 62.260815 samples/sec accuracy=82.513889 loss=0.695598 lr=0.000064 Epoch[193] Batch [1849]/[3760] Speed: 61.438284 samples/sec accuracy=82.514358 loss=0.695257 lr=0.000063 Epoch[193] Batch [1899]/[3760] Speed: 62.277507 samples/sec accuracy=82.538651 loss=0.694889 lr=0.000063 Epoch[193] Batch [1949]/[3760] Speed: 62.627175 samples/sec accuracy=82.533654 loss=0.695844 lr=0.000062 Epoch[193] Batch [1999]/[3760] Speed: 62.108309 samples/sec accuracy=82.510937 loss=0.696464 lr=0.000061 Epoch[193] Batch [2049]/[3760] Speed: 62.416767 samples/sec accuracy=82.535061 loss=0.694847 lr=0.000061 Epoch[193] Batch [2099]/[3760] Speed: 62.513015 samples/sec accuracy=82.548363 loss=0.694504 lr=0.000060 Epoch[193] Batch [2149]/[3760] Speed: 62.023270 samples/sec accuracy=82.560320 loss=0.694322 lr=0.000059 Epoch[193] Batch [2199]/[3760] Speed: 62.421924 samples/sec accuracy=82.572443 loss=0.694152 lr=0.000059 Epoch[193] Batch [2249]/[3760] Speed: 62.224626 samples/sec accuracy=82.582639 loss=0.693564 lr=0.000058 Epoch[193] Batch [2299]/[3760] Speed: 62.145982 samples/sec accuracy=82.591033 loss=0.693245 lr=0.000057 Epoch[193] Batch [2349]/[3760] Speed: 62.698626 samples/sec accuracy=82.577793 loss=0.693799 lr=0.000057 Epoch[193] Batch [2399]/[3760] Speed: 62.192072 samples/sec accuracy=82.578776 loss=0.693861 lr=0.000056 Epoch[193] Batch [2449]/[3760] Speed: 61.525134 samples/sec accuracy=82.580995 loss=0.693915 lr=0.000055 Epoch[193] Batch [2499]/[3760] Speed: 62.089793 samples/sec accuracy=82.586875 loss=0.693550 lr=0.000055 Epoch[193] Batch [2549]/[3760] Speed: 62.538164 samples/sec accuracy=82.585784 loss=0.693520 lr=0.000054 Epoch[193] Batch [2599]/[3760] Speed: 61.701382 samples/sec accuracy=82.569712 loss=0.694102 lr=0.000053 Epoch[193] Batch [2649]/[3760] Speed: 62.586414 samples/sec accuracy=82.563090 loss=0.694434 lr=0.000053 Epoch[193] Batch [2699]/[3760] Speed: 61.981474 samples/sec accuracy=82.565394 loss=0.694317 lr=0.000052 Epoch[193] Batch [2749]/[3760] Speed: 61.167464 samples/sec accuracy=82.557386 loss=0.694580 lr=0.000052 Epoch[193] Batch [2799]/[3760] Speed: 61.516754 samples/sec accuracy=82.559710 loss=0.693987 lr=0.000051 Epoch[193] Batch [2849]/[3760] Speed: 62.676774 samples/sec accuracy=82.576754 loss=0.694160 lr=0.000050 Epoch[193] Batch [2899]/[3760] Speed: 61.794379 samples/sec accuracy=82.576509 loss=0.694045 lr=0.000050 Epoch[193] Batch [2949]/[3760] Speed: 62.025807 samples/sec accuracy=82.563559 loss=0.694397 lr=0.000049 Epoch[193] Batch [2999]/[3760] Speed: 61.695822 samples/sec accuracy=82.576042 loss=0.694299 lr=0.000049 Epoch[193] Batch [3049]/[3760] Speed: 61.883052 samples/sec accuracy=82.583504 loss=0.694355 lr=0.000048 Epoch[193] Batch [3099]/[3760] Speed: 61.540902 samples/sec accuracy=82.573589 loss=0.694748 lr=0.000047 Epoch[193] Batch [3149]/[3760] Speed: 62.100668 samples/sec accuracy=82.577877 loss=0.694592 lr=0.000047 Epoch[193] Batch [3199]/[3760] Speed: 61.678167 samples/sec accuracy=82.590820 loss=0.693974 lr=0.000046 Epoch[193] Batch [3249]/[3760] Speed: 62.559634 samples/sec accuracy=82.592308 loss=0.694158 lr=0.000046 Epoch[193] Batch [3299]/[3760] Speed: 61.483279 samples/sec accuracy=82.592330 loss=0.694147 lr=0.000045 Epoch[193] Batch [3349]/[3760] Speed: 61.667853 samples/sec accuracy=82.589086 loss=0.693925 lr=0.000045 Epoch[193] Batch [3399]/[3760] Speed: 61.749260 samples/sec accuracy=82.583640 loss=0.693756 lr=0.000044 Epoch[193] Batch [3449]/[3760] Speed: 62.400198 samples/sec accuracy=82.573822 loss=0.694224 lr=0.000043 Epoch[193] Batch [3499]/[3760] Speed: 62.083425 samples/sec accuracy=82.583482 loss=0.693721 lr=0.000043 Epoch[193] Batch [3549]/[3760] Speed: 61.954989 samples/sec accuracy=82.572183 loss=0.693656 lr=0.000042 Epoch[193] Batch [3599]/[3760] Speed: 62.494555 samples/sec accuracy=82.581597 loss=0.693323 lr=0.000042 Epoch[193] Batch [3649]/[3760] Speed: 61.390439 samples/sec accuracy=82.573630 loss=0.693799 lr=0.000041 Epoch[193] Batch [3699]/[3760] Speed: 62.214189 samples/sec accuracy=82.579814 loss=0.693068 lr=0.000041 Epoch[193] Batch [3749]/[3760] Speed: 67.087209 samples/sec accuracy=82.584583 loss=0.692931 lr=0.000040 Batch [0049]/[0303]: acc-top1=69.468750 acc-top5=87.468750 Batch [0099]/[0303]: acc-top1=69.656250 acc-top5=87.703125 Batch [0149]/[0303]: acc-top1=69.125000 acc-top5=87.489583 Batch [0199]/[0303]: acc-top1=69.195312 acc-top5=87.710938 Batch [0249]/[0303]: acc-top1=69.050000 acc-top5=87.612500 Batch [0299]/[0303]: acc-top1=69.015625 acc-top5=87.822917 [Epoch 193] training: accuracy=82.579787 loss=0.693122 [Epoch 193] speed: 61 samples/sec time cost: 4189.978382 [Epoch 193] validation: acc-top1=68.966584 acc-top5=87.783622 loss=1.480636 Epoch[194] Batch [0049]/[3759] Speed: 40.815136 samples/sec accuracy=82.656250 loss=0.697547 lr=0.000039 Epoch[194] Batch [0099]/[3759] Speed: 60.379585 samples/sec accuracy=83.062500 loss=0.685449 lr=0.000039 Epoch[194] Batch [0149]/[3759] Speed: 61.162950 samples/sec accuracy=82.718750 loss=0.685978 lr=0.000038 Epoch[194] Batch [0199]/[3759] Speed: 59.511808 samples/sec accuracy=82.671875 loss=0.686394 lr=0.000038 Epoch[194] Batch [0249]/[3759] Speed: 61.303532 samples/sec accuracy=82.393750 loss=0.691571 lr=0.000037 Epoch[194] Batch [0299]/[3759] Speed: 60.330396 samples/sec accuracy=82.588542 loss=0.687291 lr=0.000037 Epoch[194] Batch [0349]/[3759] Speed: 61.605353 samples/sec accuracy=82.687500 loss=0.686425 lr=0.000036 Epoch[194] Batch [0399]/[3759] Speed: 59.621284 samples/sec accuracy=82.621094 loss=0.687582 lr=0.000036 Epoch[194] Batch [0449]/[3759] Speed: 61.803772 samples/sec accuracy=82.576389 loss=0.686161 lr=0.000035 Epoch[194] Batch 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accuracy=82.833882 loss=0.681927 lr=0.000030 Epoch[194] Batch [0999]/[3759] Speed: 61.591828 samples/sec accuracy=82.785937 loss=0.683909 lr=0.000030 Epoch[194] Batch [1049]/[3759] Speed: 62.514534 samples/sec accuracy=82.802083 loss=0.683668 lr=0.000029 Epoch[194] Batch [1099]/[3759] Speed: 59.775861 samples/sec accuracy=82.778409 loss=0.684408 lr=0.000029 Epoch[194] Batch [1149]/[3759] Speed: 62.221155 samples/sec accuracy=82.764946 loss=0.683919 lr=0.000028 Epoch[194] Batch [1199]/[3759] Speed: 60.952839 samples/sec accuracy=82.708333 loss=0.686487 lr=0.000028 Epoch[194] Batch [1249]/[3759] Speed: 62.029064 samples/sec accuracy=82.670000 loss=0.687416 lr=0.000028 Epoch[194] Batch [1299]/[3759] Speed: 60.746760 samples/sec accuracy=82.629808 loss=0.689308 lr=0.000027 Epoch[194] Batch [1349]/[3759] Speed: 61.556564 samples/sec accuracy=82.620370 loss=0.690430 lr=0.000027 Epoch[194] Batch [1399]/[3759] Speed: 59.926380 samples/sec accuracy=82.616071 loss=0.691654 lr=0.000026 Epoch[194] 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accuracy=82.588816 loss=0.693492 lr=0.000022 Epoch[194] Batch [1949]/[3759] Speed: 62.110945 samples/sec accuracy=82.576923 loss=0.693953 lr=0.000022 Epoch[194] Batch [1999]/[3759] Speed: 60.798323 samples/sec accuracy=82.562500 loss=0.694838 lr=0.000021 Epoch[194] Batch [2049]/[3759] Speed: 62.457910 samples/sec accuracy=82.580030 loss=0.693882 lr=0.000021 Epoch[194] Batch [2099]/[3759] Speed: 62.286801 samples/sec accuracy=82.598958 loss=0.692885 lr=0.000020 Epoch[194] Batch [2149]/[3759] Speed: 62.448159 samples/sec accuracy=82.586483 loss=0.693198 lr=0.000020 Epoch[194] Batch [2199]/[3759] Speed: 62.610581 samples/sec accuracy=82.600852 loss=0.692949 lr=0.000020 Epoch[194] Batch [2249]/[3759] Speed: 62.084643 samples/sec accuracy=82.603472 loss=0.692787 lr=0.000019 Epoch[194] Batch [2299]/[3759] Speed: 62.739212 samples/sec accuracy=82.603261 loss=0.692621 lr=0.000019 Epoch[194] Batch [2349]/[3759] Speed: 61.246867 samples/sec accuracy=82.615691 loss=0.692276 lr=0.000019 Epoch[194] Batch [2399]/[3759] Speed: 62.642117 samples/sec accuracy=82.628255 loss=0.691689 lr=0.000018 Epoch[194] Batch [2449]/[3759] Speed: 62.143234 samples/sec accuracy=82.623724 loss=0.691838 lr=0.000018 Epoch[194] Batch [2499]/[3759] Speed: 62.696414 samples/sec accuracy=82.613125 loss=0.691492 lr=0.000018 Epoch[194] Batch [2549]/[3759] Speed: 61.918391 samples/sec accuracy=82.634191 loss=0.690288 lr=0.000017 Epoch[194] Batch [2599]/[3759] Speed: 62.587780 samples/sec accuracy=82.611178 loss=0.690544 lr=0.000017 Epoch[194] Batch [2649]/[3759] Speed: 61.591209 samples/sec accuracy=82.622052 loss=0.690514 lr=0.000016 Epoch[194] Batch [2699]/[3759] Speed: 62.775708 samples/sec accuracy=82.616319 loss=0.690613 lr=0.000016 Epoch[194] Batch [2749]/[3759] Speed: 62.171195 samples/sec accuracy=82.613068 loss=0.691021 lr=0.000016 Epoch[194] Batch [2799]/[3759] Speed: 62.901030 samples/sec accuracy=82.625000 loss=0.690938 lr=0.000015 Epoch[194] Batch [2849]/[3759] Speed: 62.361746 samples/sec accuracy=82.635965 loss=0.690580 lr=0.000015 Epoch[194] Batch [2899]/[3759] Speed: 62.306632 samples/sec accuracy=82.644397 loss=0.689764 lr=0.000015 Epoch[194] Batch [2949]/[3759] Speed: 61.292742 samples/sec accuracy=82.628178 loss=0.690454 lr=0.000014 Epoch[194] Batch [2999]/[3759] Speed: 62.363670 samples/sec accuracy=82.616667 loss=0.690093 lr=0.000014 Epoch[194] Batch [3049]/[3759] Speed: 62.358597 samples/sec accuracy=82.600410 loss=0.690612 lr=0.000014 Epoch[194] Batch [3099]/[3759] Speed: 62.584241 samples/sec accuracy=82.604839 loss=0.691033 lr=0.000013 Epoch[194] Batch [3149]/[3759] Speed: 61.937620 samples/sec accuracy=82.628472 loss=0.690174 lr=0.000013 Epoch[194] Batch [3199]/[3759] Speed: 62.496124 samples/sec accuracy=82.625977 loss=0.690255 lr=0.000013 Epoch[194] Batch [3249]/[3759] Speed: 61.413568 samples/sec accuracy=82.643750 loss=0.690037 lr=0.000013 Epoch[194] Batch [3299]/[3759] Speed: 62.592128 samples/sec accuracy=82.652936 loss=0.690019 lr=0.000012 Epoch[194] Batch [3349]/[3759] Speed: 62.044425 samples/sec accuracy=82.678638 loss=0.689181 lr=0.000012 Epoch[194] Batch [3399]/[3759] Speed: 62.457911 samples/sec accuracy=82.673713 loss=0.689331 lr=0.000012 Epoch[194] Batch [3449]/[3759] Speed: 62.263614 samples/sec accuracy=82.663496 loss=0.689548 lr=0.000011 Epoch[194] Batch [3499]/[3759] Speed: 62.421945 samples/sec accuracy=82.679018 loss=0.689096 lr=0.000011 Epoch[194] Batch [3549]/[3759] Speed: 61.741970 samples/sec accuracy=82.691901 loss=0.688710 lr=0.000011 Epoch[194] Batch [3599]/[3759] Speed: 62.667154 samples/sec accuracy=82.674913 loss=0.689264 lr=0.000011 Epoch[194] Batch [3649]/[3759] Speed: 62.269751 samples/sec accuracy=82.671661 loss=0.689484 lr=0.000010 Epoch[194] Batch [3699]/[3759] Speed: 62.160112 samples/sec accuracy=82.683699 loss=0.689050 lr=0.000010 Epoch[194] Batch [3749]/[3759] Speed: 67.274964 samples/sec accuracy=82.680000 loss=0.688924 lr=0.000010 Batch [0049]/[0303]: acc-top1=69.281250 acc-top5=87.250000 Batch [0099]/[0303]: acc-top1=69.843750 acc-top5=87.578125 Batch [0149]/[0303]: acc-top1=69.312500 acc-top5=87.458333 Batch [0199]/[0303]: acc-top1=69.351562 acc-top5=87.695312 Batch [0249]/[0303]: acc-top1=69.212500 acc-top5=87.618750 Batch [0299]/[0303]: acc-top1=69.218750 acc-top5=87.796875 [Epoch 194] training: accuracy=82.674914 loss=0.689173 [Epoch 194] speed: 61 samples/sec time cost: 4202.343030 [Epoch 194] validation: acc-top1=69.157384 acc-top5=87.773309 loss=1.480203 Epoch[195] Batch [0049]/[3760] Speed: 41.659527 samples/sec accuracy=81.937500 loss=0.702421 lr=0.000009 Epoch[195] Batch [0099]/[3760] Speed: 59.443279 samples/sec accuracy=82.640625 loss=0.673528 lr=0.000009 Epoch[195] Batch [0149]/[3760] Speed: 61.062958 samples/sec accuracy=82.395833 loss=0.682848 lr=0.000009 Epoch[195] Batch [0199]/[3760] Speed: 61.129191 samples/sec accuracy=82.554688 loss=0.686058 lr=0.000009 Epoch[195] Batch [0249]/[3760] Speed: 61.483424 samples/sec accuracy=82.543750 loss=0.685625 lr=0.000008 Epoch[195] Batch [0299]/[3760] Speed: 61.009573 samples/sec accuracy=82.635417 loss=0.684327 lr=0.000008 Epoch[195] Batch [0349]/[3760] Speed: 61.796667 samples/sec accuracy=82.513393 loss=0.688971 lr=0.000008 Epoch[195] Batch [0399]/[3760] Speed: 60.057993 samples/sec accuracy=82.601562 loss=0.684820 lr=0.000008 Epoch[195] Batch [0449]/[3760] Speed: 62.686555 samples/sec accuracy=82.559028 loss=0.685375 lr=0.000007 Epoch[195] Batch [0499]/[3760] Speed: 61.266413 samples/sec accuracy=82.609375 loss=0.687395 lr=0.000007 Epoch[195] Batch [0549]/[3760] Speed: 62.608398 samples/sec accuracy=82.644886 loss=0.685140 lr=0.000007 Epoch[195] Batch [0599]/[3760] Speed: 61.633429 samples/sec accuracy=82.770833 loss=0.682237 lr=0.000007 Epoch[195] Batch [0649]/[3760] Speed: 62.889506 samples/sec accuracy=82.814904 loss=0.680930 lr=0.000007 Epoch[195] Batch [0699]/[3760] Speed: 61.256401 samples/sec accuracy=82.843750 loss=0.679318 lr=0.000006 Epoch[195] Batch [0749]/[3760] Speed: 62.219063 samples/sec accuracy=82.856250 loss=0.678668 lr=0.000006 Epoch[195] Batch [0799]/[3760] Speed: 61.756652 samples/sec accuracy=82.746094 loss=0.682248 lr=0.000006 Epoch[195] Batch [0849]/[3760] Speed: 62.467330 samples/sec accuracy=82.762868 loss=0.682660 lr=0.000006 Epoch[195] Batch [0899]/[3760] Speed: 62.023739 samples/sec accuracy=82.772569 loss=0.683345 lr=0.000005 Epoch[195] Batch [0949]/[3760] Speed: 62.725414 samples/sec accuracy=82.773026 loss=0.683244 lr=0.000005 Epoch[195] Batch [0999]/[3760] Speed: 62.015639 samples/sec accuracy=82.784375 loss=0.682912 lr=0.000005 Epoch[195] Batch [1049]/[3760] Speed: 61.984354 samples/sec accuracy=82.726190 loss=0.685168 lr=0.000005 Epoch[195] Batch [1099]/[3760] Speed: 62.409529 samples/sec accuracy=82.710227 loss=0.685737 lr=0.000005 Epoch[195] Batch [1149]/[3760] Speed: 62.045986 samples/sec accuracy=82.653533 loss=0.686647 lr=0.000005 Epoch[195] Batch [1199]/[3760] Speed: 62.399381 samples/sec accuracy=82.691406 loss=0.685867 lr=0.000004 Epoch[195] Batch [1249]/[3760] Speed: 62.097622 samples/sec accuracy=82.695000 loss=0.686271 lr=0.000004 Epoch[195] Batch [1299]/[3760] Speed: 62.183345 samples/sec accuracy=82.729567 loss=0.685593 lr=0.000004 Epoch[195] Batch [1349]/[3760] Speed: 60.879065 samples/sec accuracy=82.725694 loss=0.685763 lr=0.000004 Epoch[195] Batch [1399]/[3760] Speed: 62.886487 samples/sec accuracy=82.742188 loss=0.684739 lr=0.000004 Epoch[195] Batch [1449]/[3760] Speed: 62.191649 samples/sec accuracy=82.695043 loss=0.686529 lr=0.000003 Epoch[195] Batch [1499]/[3760] Speed: 62.223503 samples/sec accuracy=82.704167 loss=0.686128 lr=0.000003 Epoch[195] Batch [1549]/[3760] Speed: 62.005558 samples/sec accuracy=82.708669 loss=0.687014 lr=0.000003 Epoch[195] Batch [1599]/[3760] Speed: 62.485300 samples/sec accuracy=82.717773 loss=0.687216 lr=0.000003 Epoch[195] Batch [1649]/[3760] Speed: 62.242572 samples/sec accuracy=82.754735 loss=0.686501 lr=0.000003 Epoch[195] Batch [1699]/[3760] Speed: 61.606010 samples/sec accuracy=82.725184 loss=0.687304 lr=0.000003 Epoch[195] Batch [1749]/[3760] Speed: 62.427952 samples/sec accuracy=82.732143 loss=0.686586 lr=0.000003 Epoch[195] Batch [1799]/[3760] Speed: 62.293797 samples/sec accuracy=82.740451 loss=0.686603 lr=0.000002 Epoch[195] Batch [1849]/[3760] Speed: 62.194339 samples/sec accuracy=82.744088 loss=0.686623 lr=0.000002 Epoch[195] Batch [1899]/[3760] Speed: 61.995751 samples/sec accuracy=82.796053 loss=0.685431 lr=0.000002 Epoch[195] Batch [1949]/[3760] Speed: 62.820867 samples/sec accuracy=82.786859 loss=0.685288 lr=0.000002 Epoch[195] Batch [1999]/[3760] Speed: 61.038077 samples/sec accuracy=82.766406 loss=0.685337 lr=0.000002 Epoch[195] Batch [2049]/[3760] Speed: 62.369522 samples/sec accuracy=82.753811 loss=0.685447 lr=0.000002 Epoch[195] Batch [2099]/[3760] Speed: 62.551315 samples/sec accuracy=82.746280 loss=0.685562 lr=0.000002 Epoch[195] Batch [2149]/[3760] Speed: 62.244092 samples/sec accuracy=82.711483 loss=0.686487 lr=0.000002 Epoch[195] Batch [2199]/[3760] Speed: 62.727040 samples/sec accuracy=82.738636 loss=0.685448 lr=0.000001 Epoch[195] Batch [2249]/[3760] Speed: 62.287107 samples/sec accuracy=82.752083 loss=0.685424 lr=0.000001 Epoch[195] Batch [2299]/[3760] Speed: 62.590816 samples/sec accuracy=82.721467 loss=0.686040 lr=0.000001 Epoch[195] Batch [2349]/[3760] Speed: 61.428481 samples/sec accuracy=82.710771 loss=0.686763 lr=0.000001 Epoch[195] Batch [2399]/[3760] Speed: 62.504152 samples/sec accuracy=82.711589 loss=0.687026 lr=0.000001 Epoch[195] Batch [2449]/[3760] Speed: 62.302019 samples/sec accuracy=82.712372 loss=0.686791 lr=0.000001 Epoch[195] Batch [2499]/[3760] Speed: 62.386648 samples/sec accuracy=82.690625 loss=0.687023 lr=0.000001 Epoch[195] Batch [2549]/[3760] Speed: 61.667081 samples/sec accuracy=82.670343 loss=0.686926 lr=0.000001 Epoch[195] Batch [2599]/[3760] Speed: 62.654644 samples/sec accuracy=82.668870 loss=0.687133 lr=0.000001 Epoch[195] Batch [2649]/[3760] Speed: 61.444652 samples/sec accuracy=82.644458 loss=0.687337 lr=0.000001 Epoch[195] Batch [2699]/[3760] Speed: 62.275557 samples/sec accuracy=82.668981 loss=0.686668 lr=0.000001 Epoch[195] Batch [2749]/[3760] Speed: 62.212284 samples/sec accuracy=82.672159 loss=0.686627 lr=0.000001 Epoch[195] Batch [2799]/[3760] Speed: 62.315604 samples/sec accuracy=82.659040 loss=0.687049 lr=0.000001 Epoch[195] Batch [2849]/[3760] Speed: 62.127054 samples/sec accuracy=82.667215 loss=0.686583 lr=0.000000 Epoch[195] Batch [2899]/[3760] Speed: 62.530729 samples/sec accuracy=82.681573 loss=0.685763 lr=0.000000 Epoch[195] Batch [2949]/[3760] Speed: 60.368742 samples/sec accuracy=82.691208 loss=0.685764 lr=0.000000 Epoch[195] Batch [2999]/[3760] Speed: 63.611554 samples/sec accuracy=82.698437 loss=0.685530 lr=0.000000 Epoch[195] Batch [3049]/[3760] Speed: 62.427824 samples/sec accuracy=82.695184 loss=0.685741 lr=0.000000 Epoch[195] Batch [3099]/[3760] Speed: 62.069090 samples/sec accuracy=82.693044 loss=0.685953 lr=0.000000 Epoch[195] Batch [3149]/[3760] Speed: 61.990715 samples/sec accuracy=82.706349 loss=0.685458 lr=0.000000 Epoch[195] Batch [3199]/[3760] Speed: 62.404586 samples/sec accuracy=82.698730 loss=0.685644 lr=0.000000 Epoch[195] Batch [3249]/[3760] Speed: 62.699599 samples/sec accuracy=82.683173 loss=0.686385 lr=0.000000 Epoch[195] Batch [3299]/[3760] Speed: 61.568923 samples/sec accuracy=82.676610 loss=0.686470 lr=0.000000 Epoch[195] Batch [3349]/[3760] Speed: 62.446374 samples/sec accuracy=82.670243 loss=0.686489 lr=0.000000 Epoch[195] Batch [3399]/[3760] Speed: 62.714526 samples/sec accuracy=82.678309 loss=0.686030 lr=0.000000 Epoch[195] Batch [3449]/[3760] Speed: 62.335601 samples/sec accuracy=82.687500 loss=0.685426 lr=0.000000 Epoch[195] Batch [3499]/[3760] Speed: 62.694762 samples/sec accuracy=82.691071 loss=0.685161 lr=0.000000 Epoch[195] Batch [3549]/[3760] Speed: 62.377276 samples/sec accuracy=82.686180 loss=0.685430 lr=0.000000 Epoch[195] Batch [3599]/[3760] Speed: 60.536103 samples/sec accuracy=82.663628 loss=0.686055 lr=0.000000 Epoch[195] Batch [3649]/[3760] Speed: 62.775383 samples/sec accuracy=82.660103 loss=0.686235 lr=0.000000 Epoch[195] Batch [3699]/[3760] Speed: 62.551162 samples/sec accuracy=82.666385 loss=0.686265 lr=0.000000 Epoch[195] Batch [3749]/[3760] Speed: 66.962980 samples/sec accuracy=82.664167 loss=0.686327 lr=0.000000 Batch [0049]/[0303]: acc-top1=69.531250 acc-top5=87.375000 Batch [0099]/[0303]: acc-top1=69.843750 acc-top5=87.750000 Batch [0149]/[0303]: acc-top1=69.447917 acc-top5=87.562500 Batch [0199]/[0303]: acc-top1=69.460938 acc-top5=87.726562 Batch [0249]/[0303]: acc-top1=69.237500 acc-top5=87.625000 Batch [0299]/[0303]: acc-top1=69.208333 acc-top5=87.807292 [Epoch 195] training: accuracy=82.662483 loss=0.686381 [Epoch 195] speed: 61 samples/sec time cost: 4182.616103 [Epoch 195] validation: acc-top1=69.147071 acc-top5=87.778465 loss=1.491958