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=299, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='i3d_inceptionv3_seg1_kinetics400_b8_g8_video_cleanv3.txt', lr=0.01, lr_decay=0.1, lr_decay_epoch='40,80,100', lr_decay_period=0, lr_mode='step', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='i3d_inceptionv3_kinetics400', momentum=0.9, new_height=340, new_length=32, new_step=2, new_width=450, no_wd=False, num_classes=400, num_crop=1, num_epochs=100, 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/i3d/i3d_inceptionv3_seg1_kinetics400_b8_g8_video_cleanv3', save_frequency=20, scale_ratios='1.0,0.8', slow_temporal_stride=16, slowfast=False, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=0, warmup_lr=0.0, wd=0.0001) Total batch size is set to 64 on 8 GPUs I3D_InceptionV3( (features): HybridSequential( (0): HybridSequential( (0): Conv3D(3 -> 32, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(32 -> 32, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(32 -> 64, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (3): MaxPool3D(size=(3, 3, 3), stride=(1, 2, 2), padding=(1, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (4): HybridSequential( (0): Conv3D(64 -> 80, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=80) (2): Activation(relu) ) (5): HybridSequential( (0): Conv3D(80 -> 192, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (6): MaxPool3D(size=(3, 3, 3), stride=(1, 2, 2), padding=(1, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (7): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(192 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(192 -> 48, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=48) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(48 -> 64, kernel_size=(5, 5, 5), stride=(1, 1, 1), padding=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(192 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(64 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(96 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(192 -> 32, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (2): Activation(relu) ) ) ) (8): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(256 -> 48, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=48) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(48 -> 64, kernel_size=(5, 5, 5), stride=(1, 1, 1), padding=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(64 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(96 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) ) (9): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(288 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(288 -> 48, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=48) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(48 -> 64, kernel_size=(5, 5, 5), stride=(1, 1, 1), padding=(2, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(288 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(64 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(96 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(288 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) ) ) (10): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(288 -> 384, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(288 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(64 -> 96, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(96 -> 96, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=96) (2): Activation(relu) ) ) (2): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) ) ) (11): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(128 -> 128, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(128 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(128 -> 128, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(128 -> 128, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (3): HybridSequential( (0): Conv3D(128 -> 128, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (4): HybridSequential( (0): Conv3D(128 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) ) (12): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 160, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(160 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 160, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (3): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (4): HybridSequential( (0): Conv3D(160 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) ) (13): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 160, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(160 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 160, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (3): HybridSequential( (0): Conv3D(160 -> 160, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=160) (2): Activation(relu) ) (4): HybridSequential( (0): Conv3D(160 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) ) (14): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (3): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (4): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) ) (15): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(192 -> 320, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=320) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(768 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 1, 7), stride=(1, 1, 1), padding=(3, 0, 3), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (2): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(7, 7, 1), stride=(1, 1, 1), padding=(3, 3, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) (3): HybridSequential( (0): Conv3D(192 -> 192, kernel_size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) (2): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) ) ) (16): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(1280 -> 320, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=320) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(1280 -> 384, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 1, 3), stride=(1, 1, 1), padding=(1, 0, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 3, 1), stride=(1, 1, 1), padding=(1, 1, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) ) ) (2): HybridSequential( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(1280 -> 448, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=448) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(448 -> 384, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 1, 3), stride=(1, 1, 1), padding=(1, 0, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 3, 1), stride=(1, 1, 1), padding=(1, 1, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(1280 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) ) (17): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(2048 -> 320, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=320) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(2048 -> 384, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 1, 3), stride=(1, 1, 1), padding=(1, 0, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 3, 1), stride=(1, 1, 1), padding=(1, 1, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) ) ) (2): HybridSequential( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(2048 -> 448, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=448) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(448 -> 384, kernel_size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 1, 3), stride=(1, 1, 1), padding=(1, 0, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(384 -> 384, kernel_size=(3, 3, 1), stride=(1, 1, 1), padding=(1, 1, 0), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=384) (2): Activation(relu) ) ) ) ) (3): HybridSequential( (0): AvgPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=avg, layout=NCDHW) (1): HybridSequential( (0): Conv3D(2048 -> 192, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=0.001, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=192) (2): Activation(relu) ) ) ) (18): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) ) (head): HybridSequential( (0): Dropout(p = 0.5, axes=()) (1): Dense(2048 -> 400, linear) ) (output): Dense(2048 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[3759] Speed: 20.016565 samples/sec accuracy=1.125000 loss=5.929721 lr=0.010000 Epoch[000] Batch [0099]/[3759] Speed: 34.179887 samples/sec accuracy=1.359375 loss=5.827388 lr=0.010000 Epoch[000] Batch [0149]/[3759] Speed: 34.852109 samples/sec accuracy=1.708333 loss=5.731140 lr=0.010000 Epoch[000] Batch [0199]/[3759] Speed: 34.529270 samples/sec accuracy=2.000000 loss=5.639669 lr=0.010000 Epoch[000] Batch [0249]/[3759] Speed: 34.747719 samples/sec accuracy=2.375000 loss=5.569702 lr=0.010000 Epoch[000] Batch [0299]/[3759] Speed: 34.497962 samples/sec accuracy=2.765625 loss=5.506411 lr=0.010000 Epoch[000] Batch [0349]/[3759] Speed: 34.552151 samples/sec accuracy=3.129464 loss=5.434509 lr=0.010000 Epoch[000] Batch [0399]/[3759] Speed: 34.881526 samples/sec accuracy=3.421875 loss=5.381165 lr=0.010000 Epoch[000] Batch [0449]/[3759] Speed: 34.713403 samples/sec accuracy=3.850694 loss=5.324773 lr=0.010000 Epoch[000] Batch [0499]/[3759] Speed: 34.678624 samples/sec 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loss=4.391509 lr=0.010000 Epoch[000] Batch [2449]/[3759] Speed: 34.917718 samples/sec accuracy=13.063776 loss=4.378023 lr=0.010000 Epoch[000] Batch [2499]/[3759] Speed: 35.094841 samples/sec accuracy=13.214375 loss=4.365331 lr=0.010000 Epoch[000] Batch [2549]/[3759] Speed: 34.717819 samples/sec accuracy=13.367034 loss=4.354346 lr=0.010000 Epoch[000] Batch [2599]/[3759] Speed: 34.922004 samples/sec accuracy=13.504808 loss=4.342394 lr=0.010000 Epoch[000] Batch [2649]/[3759] Speed: 34.846152 samples/sec accuracy=13.664505 loss=4.329236 lr=0.010000 Epoch[000] Batch [2699]/[3759] Speed: 34.822405 samples/sec accuracy=13.804398 loss=4.317859 lr=0.010000 Epoch[000] Batch [2749]/[3759] Speed: 34.650528 samples/sec accuracy=13.963636 loss=4.305842 lr=0.010000 Epoch[000] Batch [2799]/[3759] Speed: 34.532859 samples/sec accuracy=14.101004 loss=4.294300 lr=0.010000 Epoch[000] Batch [2849]/[3759] Speed: 34.766195 samples/sec accuracy=14.236294 loss=4.282878 lr=0.010000 Epoch[000] Batch [2899]/[3759] Speed: 34.850417 samples/sec accuracy=14.379849 loss=4.271593 lr=0.010000 Epoch[000] Batch [2949]/[3759] Speed: 34.783081 samples/sec accuracy=14.540254 loss=4.259884 lr=0.010000 Epoch[000] Batch [2999]/[3759] Speed: 34.924436 samples/sec accuracy=14.689063 loss=4.249163 lr=0.010000 Epoch[000] Batch [3049]/[3759] Speed: 34.801736 samples/sec accuracy=14.824795 loss=4.238341 lr=0.010000 Epoch[000] Batch [3099]/[3759] Speed: 34.944483 samples/sec accuracy=14.949093 loss=4.228641 lr=0.010000 Epoch[000] Batch [3149]/[3759] Speed: 34.851633 samples/sec accuracy=15.112599 loss=4.217263 lr=0.010000 Epoch[000] Batch [3199]/[3759] Speed: 34.827080 samples/sec accuracy=15.251465 loss=4.207290 lr=0.010000 Epoch[000] Batch [3249]/[3759] Speed: 35.094100 samples/sec accuracy=15.383173 loss=4.197701 lr=0.010000 Epoch[000] Batch [3299]/[3759] Speed: 34.697941 samples/sec accuracy=15.507102 loss=4.188553 lr=0.010000 Epoch[000] Batch [3349]/[3759] Speed: 34.946563 samples/sec accuracy=15.630597 loss=4.179120 lr=0.010000 Epoch[000] Batch [3399]/[3759] Speed: 34.855621 samples/sec accuracy=15.755055 loss=4.170026 lr=0.010000 Epoch[000] Batch [3449]/[3759] Speed: 34.943843 samples/sec accuracy=15.869565 loss=4.161109 lr=0.010000 Epoch[000] Batch [3499]/[3759] Speed: 34.861828 samples/sec accuracy=15.987946 loss=4.151575 lr=0.010000 Epoch[000] Batch [3549]/[3759] Speed: 34.850281 samples/sec accuracy=16.118838 loss=4.142154 lr=0.010000 Epoch[000] Batch [3599]/[3759] Speed: 34.798682 samples/sec accuracy=16.228733 loss=4.132711 lr=0.010000 Epoch[000] Batch [3649]/[3759] Speed: 34.766655 samples/sec accuracy=16.348459 loss=4.123888 lr=0.010000 Epoch[000] Batch [3699]/[3759] Speed: 34.728921 samples/sec accuracy=16.478041 loss=4.114273 lr=0.010000 Epoch[000] Batch [3749]/[3759] Speed: 36.344416 samples/sec accuracy=16.600833 loss=4.106058 lr=0.010000 Batch [0049]/[0303]: acc-top1=24.937500 acc-top5=51.312500 Batch [0099]/[0303]: acc-top1=25.265625 acc-top5=52.000000 Batch [0149]/[0303]: acc-top1=25.916667 acc-top5=52.302083 Batch [0199]/[0303]: acc-top1=25.593750 acc-top5=52.242188 Batch [0249]/[0303]: acc-top1=25.481250 acc-top5=52.037500 Batch [0299]/[0303]: acc-top1=25.479167 acc-top5=51.942708 [Epoch 000] training: accuracy=16.629672 loss=4.104345 [Epoch 000] speed: 34 samples/sec time cost: 7467.497211 [Epoch 000] validation: acc-top1=25.433168 acc-top5=51.918317 loss=3.831453 Epoch[001] Batch [0049]/[3760] Speed: 22.678665 samples/sec accuracy=24.875000 loss=3.444316 lr=0.010000 Epoch[001] Batch [0099]/[3760] Speed: 34.732525 samples/sec accuracy=25.062500 loss=3.434450 lr=0.010000 Epoch[001] Batch [0149]/[3760] Speed: 34.975311 samples/sec accuracy=25.614583 loss=3.414279 lr=0.010000 Epoch[001] Batch [0199]/[3760] Speed: 34.708811 samples/sec accuracy=25.835938 loss=3.412627 lr=0.010000 Epoch[001] Batch [0249]/[3760] Speed: 35.081594 samples/sec accuracy=25.800000 loss=3.411258 lr=0.010000 Epoch[001] Batch [0299]/[3760] 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loss=3.377872 lr=0.010000 Epoch[001] Batch [0799]/[3760] Speed: 34.941201 samples/sec accuracy=26.550781 loss=3.373640 lr=0.010000 Epoch[001] Batch [0849]/[3760] Speed: 34.952785 samples/sec accuracy=26.597426 loss=3.368135 lr=0.010000 Epoch[001] Batch [0899]/[3760] Speed: 34.829814 samples/sec accuracy=26.791667 loss=3.360610 lr=0.010000 Epoch[001] Batch [0949]/[3760] Speed: 35.043625 samples/sec accuracy=26.855263 loss=3.355643 lr=0.010000 Epoch[001] Batch [0999]/[3760] Speed: 35.036843 samples/sec accuracy=26.878125 loss=3.354513 lr=0.010000 Epoch[001] Batch [1049]/[3760] Speed: 34.794972 samples/sec accuracy=26.983631 loss=3.350471 lr=0.010000 Epoch[001] Batch [1099]/[3760] Speed: 34.893655 samples/sec accuracy=27.012784 loss=3.348506 lr=0.010000 Epoch[001] Batch [1149]/[3760] Speed: 34.927242 samples/sec accuracy=27.092391 loss=3.344888 lr=0.010000 Epoch[001] Batch [1199]/[3760] Speed: 35.146778 samples/sec accuracy=27.182292 loss=3.341635 lr=0.010000 Epoch[001] Batch 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accuracy=27.789522 loss=3.303031 lr=0.010000 Epoch[001] Batch [1749]/[3760] Speed: 34.744009 samples/sec accuracy=27.861607 loss=3.299522 lr=0.010000 Epoch[001] Batch [1799]/[3760] Speed: 35.018849 samples/sec accuracy=27.966146 loss=3.295261 lr=0.010000 Epoch[001] Batch [1849]/[3760] Speed: 34.954155 samples/sec accuracy=28.068412 loss=3.290699 lr=0.010000 Epoch[001] Batch [1899]/[3760] Speed: 34.969558 samples/sec accuracy=28.138158 loss=3.286648 lr=0.010000 Epoch[001] Batch [1949]/[3760] Speed: 34.903376 samples/sec accuracy=28.224359 loss=3.284594 lr=0.010000 Epoch[001] Batch [1999]/[3760] Speed: 34.955422 samples/sec accuracy=28.245313 loss=3.282959 lr=0.010000 Epoch[001] Batch [2049]/[3760] Speed: 34.961445 samples/sec accuracy=28.276677 loss=3.279681 lr=0.010000 Epoch[001] Batch [2099]/[3760] Speed: 35.003437 samples/sec accuracy=28.337054 loss=3.275315 lr=0.010000 Epoch[001] Batch [2149]/[3760] Speed: 34.969090 samples/sec accuracy=28.418605 loss=3.271208 lr=0.010000 Epoch[001] Batch [2199]/[3760] Speed: 35.090569 samples/sec accuracy=28.485795 loss=3.268110 lr=0.010000 Epoch[001] Batch [2249]/[3760] Speed: 34.717226 samples/sec accuracy=28.547917 loss=3.265716 lr=0.010000 Epoch[001] Batch [2299]/[3760] Speed: 34.716079 samples/sec accuracy=28.600543 loss=3.262650 lr=0.010000 Epoch[001] Batch [2349]/[3760] Speed: 34.942031 samples/sec accuracy=28.668218 loss=3.259528 lr=0.010000 Epoch[001] Batch [2399]/[3760] Speed: 34.953660 samples/sec accuracy=28.740234 loss=3.255630 lr=0.010000 Epoch[001] Batch [2449]/[3760] Speed: 34.900433 samples/sec accuracy=28.779337 loss=3.253186 lr=0.010000 Epoch[001] Batch [2499]/[3760] Speed: 34.955514 samples/sec accuracy=28.818125 loss=3.250723 lr=0.010000 Epoch[001] Batch [2549]/[3760] Speed: 34.759587 samples/sec accuracy=28.864583 loss=3.247689 lr=0.010000 Epoch[001] Batch [2599]/[3760] Speed: 35.079615 samples/sec accuracy=28.902043 loss=3.245193 lr=0.010000 Epoch[001] Batch [2649]/[3760] Speed: 34.915640 samples/sec accuracy=28.948703 loss=3.243063 lr=0.010000 Epoch[001] Batch [2699]/[3760] Speed: 34.867151 samples/sec accuracy=29.005787 loss=3.240731 lr=0.010000 Epoch[001] Batch [2749]/[3760] Speed: 34.917947 samples/sec accuracy=29.053409 loss=3.237459 lr=0.010000 Epoch[001] Batch [2799]/[3760] Speed: 34.973982 samples/sec accuracy=29.128906 loss=3.234386 lr=0.010000 Epoch[001] Batch [2849]/[3760] Speed: 34.914653 samples/sec accuracy=29.173246 loss=3.232336 lr=0.010000 Epoch[001] Batch [2899]/[3760] Speed: 34.981926 samples/sec accuracy=29.221444 loss=3.228957 lr=0.010000 Epoch[001] Batch [2949]/[3760] Speed: 34.983044 samples/sec accuracy=29.273835 loss=3.225875 lr=0.010000 Epoch[001] Batch [2999]/[3760] Speed: 34.918718 samples/sec accuracy=29.330208 loss=3.222851 lr=0.010000 Epoch[001] Batch [3049]/[3760] Speed: 35.029784 samples/sec accuracy=29.371926 loss=3.220604 lr=0.010000 Epoch[001] Batch [3099]/[3760] Speed: 34.730294 samples/sec accuracy=29.396673 loss=3.219501 lr=0.010000 Epoch[001] Batch [3149]/[3760] Speed: 34.996348 samples/sec accuracy=29.440972 loss=3.216519 lr=0.010000 Epoch[001] Batch [3199]/[3760] Speed: 34.805540 samples/sec accuracy=29.495605 loss=3.214048 lr=0.010000 Epoch[001] Batch [3249]/[3760] Speed: 35.001336 samples/sec accuracy=29.546635 loss=3.211103 lr=0.010000 Epoch[001] Batch [3299]/[3760] Speed: 35.049981 samples/sec accuracy=29.606061 loss=3.207546 lr=0.010000 Epoch[001] Batch [3349]/[3760] Speed: 35.042494 samples/sec accuracy=29.642257 loss=3.205669 lr=0.010000 Epoch[001] Batch [3399]/[3760] Speed: 35.047371 samples/sec accuracy=29.697151 loss=3.202572 lr=0.010000 Epoch[001] Batch [3449]/[3760] Speed: 34.825844 samples/sec accuracy=29.748641 loss=3.199557 lr=0.010000 Epoch[001] Batch [3499]/[3760] Speed: 34.684390 samples/sec accuracy=29.783036 loss=3.197860 lr=0.010000 Epoch[001] Batch [3549]/[3760] Speed: 34.999472 samples/sec accuracy=29.828785 loss=3.195377 lr=0.010000 Epoch[001] Batch [3599]/[3760] Speed: 34.862775 samples/sec accuracy=29.877604 loss=3.191880 lr=0.010000 Epoch[001] Batch [3649]/[3760] Speed: 34.956838 samples/sec accuracy=29.926798 loss=3.189051 lr=0.010000 Epoch[001] Batch [3699]/[3760] Speed: 35.077918 samples/sec accuracy=29.965794 loss=3.187387 lr=0.010000 Epoch[001] Batch [3749]/[3760] Speed: 36.253192 samples/sec accuracy=30.023750 loss=3.184641 lr=0.010000 Batch [0049]/[0303]: acc-top1=33.468750 acc-top5=62.718750 Batch [0099]/[0303]: acc-top1=34.578125 acc-top5=62.828125 Batch [0149]/[0303]: acc-top1=34.854167 acc-top5=63.302083 Batch [0199]/[0303]: acc-top1=34.968750 acc-top5=63.000000 Batch [0249]/[0303]: acc-top1=34.806250 acc-top5=62.912500 Batch [0299]/[0303]: acc-top1=34.953125 acc-top5=62.854167 [Epoch 001] training: accuracy=30.031998 loss=3.184140 [Epoch 001] speed: 34 samples/sec time cost: 7423.448955 [Epoch 001] validation: acc-top1=34.916460 acc-top5=62.819719 loss=3.086478 Epoch[002] Batch [0049]/[3759] Speed: 23.512267 samples/sec accuracy=34.812500 loss=2.971202 lr=0.010000 Epoch[002] Batch [0099]/[3759] Speed: 34.774597 samples/sec accuracy=34.781250 loss=2.927978 lr=0.010000 Epoch[002] Batch [0149]/[3759] Speed: 35.108549 samples/sec accuracy=34.833333 loss=2.923899 lr=0.010000 Epoch[002] Batch [0199]/[3759] Speed: 34.914359 samples/sec accuracy=34.851562 loss=2.911677 lr=0.010000 Epoch[002] Batch [0249]/[3759] Speed: 34.877345 samples/sec accuracy=34.975000 loss=2.907134 lr=0.010000 Epoch[002] Batch [0299]/[3759] Speed: 35.229735 samples/sec accuracy=34.989583 loss=2.916665 lr=0.010000 Epoch[002] Batch [0349]/[3759] Speed: 35.097185 samples/sec accuracy=34.991071 loss=2.907898 lr=0.010000 Epoch[002] Batch [0399]/[3759] Speed: 35.120391 samples/sec accuracy=35.054688 loss=2.908739 lr=0.010000 Epoch[002] Batch [0449]/[3759] Speed: 35.027693 samples/sec accuracy=35.065972 loss=2.905384 lr=0.010000 Epoch[002] Batch [0499]/[3759] Speed: 35.050590 samples/sec accuracy=35.153125 loss=2.899952 lr=0.010000 Epoch[002] Batch [0549]/[3759] Speed: 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lr=0.010000 Epoch[002] Batch [1049]/[3759] Speed: 34.941766 samples/sec accuracy=35.157738 loss=2.891822 lr=0.010000 Epoch[002] Batch [1099]/[3759] Speed: 35.037782 samples/sec accuracy=35.190341 loss=2.889022 lr=0.010000 Epoch[002] Batch [1149]/[3759] Speed: 35.137190 samples/sec accuracy=35.230978 loss=2.888005 lr=0.010000 Epoch[002] Batch [1199]/[3759] Speed: 35.183662 samples/sec accuracy=35.226562 loss=2.889256 lr=0.010000 Epoch[002] Batch [1249]/[3759] Speed: 34.836505 samples/sec accuracy=35.216250 loss=2.891814 lr=0.010000 Epoch[002] Batch [1299]/[3759] Speed: 35.288943 samples/sec accuracy=35.187500 loss=2.892378 lr=0.010000 Epoch[002] Batch [1349]/[3759] Speed: 35.062349 samples/sec accuracy=35.236111 loss=2.890109 lr=0.010000 Epoch[002] Batch [1399]/[3759] Speed: 35.293737 samples/sec accuracy=35.314732 loss=2.888151 lr=0.010000 Epoch[002] Batch [1449]/[3759] Speed: 35.000132 samples/sec accuracy=35.288793 loss=2.889034 lr=0.010000 Epoch[002] Batch [1499]/[3759] Speed: 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lr=0.010000 Epoch[002] Batch [1999]/[3759] Speed: 35.023340 samples/sec accuracy=35.657813 loss=2.869742 lr=0.010000 Epoch[002] Batch [2049]/[3759] Speed: 35.030269 samples/sec accuracy=35.649390 loss=2.868401 lr=0.010000 Epoch[002] Batch [2099]/[3759] Speed: 34.989872 samples/sec accuracy=35.686012 loss=2.866508 lr=0.010000 Epoch[002] Batch [2149]/[3759] Speed: 35.155979 samples/sec accuracy=35.732558 loss=2.864745 lr=0.010000 Epoch[002] Batch [2199]/[3759] Speed: 35.030711 samples/sec accuracy=35.750000 loss=2.863799 lr=0.010000 Epoch[002] Batch [2249]/[3759] Speed: 34.915679 samples/sec accuracy=35.750000 loss=2.863038 lr=0.010000 Epoch[002] Batch [2299]/[3759] Speed: 34.922223 samples/sec accuracy=35.798234 loss=2.861269 lr=0.010000 Epoch[002] Batch [2349]/[3759] Speed: 35.010538 samples/sec accuracy=35.811835 loss=2.859946 lr=0.010000 Epoch[002] Batch [2399]/[3759] Speed: 35.136469 samples/sec accuracy=35.809245 loss=2.858755 lr=0.010000 Epoch[002] Batch [2449]/[3759] Speed: 34.840457 samples/sec accuracy=35.822066 loss=2.857994 lr=0.010000 Epoch[002] Batch [2499]/[3759] Speed: 34.879107 samples/sec accuracy=35.864375 loss=2.857051 lr=0.010000 Epoch[002] Batch [2549]/[3759] Speed: 34.940999 samples/sec accuracy=35.870098 loss=2.856112 lr=0.010000 Epoch[002] Batch [2599]/[3759] Speed: 34.969537 samples/sec accuracy=35.903846 loss=2.855310 lr=0.010000 Epoch[002] Batch [2649]/[3759] Speed: 35.140460 samples/sec accuracy=35.925708 loss=2.854476 lr=0.010000 Epoch[002] Batch [2699]/[3759] Speed: 35.024997 samples/sec accuracy=35.920139 loss=2.855254 lr=0.010000 Epoch[002] Batch [2749]/[3759] Speed: 34.851769 samples/sec accuracy=35.932386 loss=2.855154 lr=0.010000 Epoch[002] Batch [2799]/[3759] Speed: 34.965573 samples/sec accuracy=35.964286 loss=2.854399 lr=0.010000 Epoch[002] Batch [2849]/[3759] Speed: 34.908546 samples/sec accuracy=35.992873 loss=2.853379 lr=0.010000 Epoch[002] Batch [2899]/[3759] Speed: 35.000815 samples/sec accuracy=36.035022 loss=2.851426 lr=0.010000 Epoch[002] Batch [2949]/[3759] Speed: 34.794851 samples/sec accuracy=36.067797 loss=2.849709 lr=0.010000 Epoch[002] Batch [2999]/[3759] Speed: 35.114484 samples/sec accuracy=36.082813 loss=2.848641 lr=0.010000 Epoch[002] Batch [3049]/[3759] Speed: 34.959690 samples/sec accuracy=36.111680 loss=2.846804 lr=0.010000 Epoch[002] Batch [3099]/[3759] Speed: 34.982382 samples/sec accuracy=36.154234 loss=2.845133 lr=0.010000 Epoch[002] Batch [3149]/[3759] Speed: 34.875985 samples/sec accuracy=36.197917 loss=2.843071 lr=0.010000 Epoch[002] Batch [3199]/[3759] Speed: 34.979813 samples/sec accuracy=36.219727 loss=2.841479 lr=0.010000 Epoch[002] Batch [3249]/[3759] Speed: 34.931073 samples/sec accuracy=36.230769 loss=2.840673 lr=0.010000 Epoch[002] Batch [3299]/[3759] Speed: 34.838154 samples/sec accuracy=36.235322 loss=2.840793 lr=0.010000 Epoch[002] Batch [3349]/[3759] Speed: 34.804749 samples/sec accuracy=36.268657 loss=2.838759 lr=0.010000 Epoch[002] Batch [3399]/[3759] Speed: 35.149278 samples/sec accuracy=36.311581 loss=2.836642 lr=0.010000 Epoch[002] Batch [3449]/[3759] Speed: 34.757219 samples/sec accuracy=36.350543 loss=2.834627 lr=0.010000 Epoch[002] Batch [3499]/[3759] Speed: 34.944818 samples/sec accuracy=36.364286 loss=2.833367 lr=0.010000 Epoch[002] Batch [3549]/[3759] Speed: 34.853961 samples/sec accuracy=36.396127 loss=2.831995 lr=0.010000 Epoch[002] Batch [3599]/[3759] Speed: 34.948118 samples/sec accuracy=36.437066 loss=2.830204 lr=0.010000 Epoch[002] Batch [3649]/[3759] Speed: 34.862090 samples/sec accuracy=36.470462 loss=2.828802 lr=0.010000 Epoch[002] Batch [3699]/[3759] Speed: 34.761919 samples/sec accuracy=36.489865 loss=2.828028 lr=0.010000 Epoch[002] Batch [3749]/[3759] Speed: 36.305498 samples/sec accuracy=36.508750 loss=2.826691 lr=0.010000 Batch [0049]/[0303]: acc-top1=39.750000 acc-top5=67.156250 Batch [0099]/[0303]: acc-top1=40.156250 acc-top5=67.625000 Batch [0149]/[0303]: acc-top1=41.062500 acc-top5=68.395833 Batch [0199]/[0303]: acc-top1=40.992188 acc-top5=68.343750 Batch [0249]/[0303]: acc-top1=40.825000 acc-top5=67.943750 Batch [0299]/[0303]: acc-top1=40.812500 acc-top5=67.921875 [Epoch 002] training: accuracy=36.513617 loss=2.826688 [Epoch 002] speed: 34 samples/sec time cost: 7399.539416 [Epoch 002] validation: acc-top1=40.790017 acc-top5=67.863036 loss=2.862572 Epoch[003] Batch [0049]/[3760] Speed: 23.767791 samples/sec accuracy=38.500000 loss=2.666803 lr=0.010000 Epoch[003] Batch [0099]/[3760] Speed: 34.706919 samples/sec accuracy=39.390625 loss=2.629270 lr=0.010000 Epoch[003] Batch [0149]/[3760] Speed: 35.229353 samples/sec accuracy=39.531250 loss=2.632650 lr=0.010000 Epoch[003] Batch [0199]/[3760] Speed: 34.775461 samples/sec accuracy=39.585938 loss=2.641015 lr=0.010000 Epoch[003] Batch [0249]/[3760] Speed: 34.947437 samples/sec accuracy=39.556250 loss=2.641045 lr=0.010000 Epoch[003] Batch [0299]/[3760] Speed: 34.932623 samples/sec accuracy=39.942708 loss=2.626787 lr=0.010000 Epoch[003] Batch 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accuracy=39.828125 loss=2.640522 lr=0.010000 Epoch[003] Batch [0849]/[3760] Speed: 35.084530 samples/sec accuracy=39.889706 loss=2.637305 lr=0.010000 Epoch[003] Batch [0899]/[3760] Speed: 34.915247 samples/sec accuracy=39.866319 loss=2.640540 lr=0.010000 Epoch[003] Batch [0949]/[3760] Speed: 34.940234 samples/sec accuracy=39.842105 loss=2.643431 lr=0.010000 Epoch[003] Batch [0999]/[3760] Speed: 34.985482 samples/sec accuracy=39.829687 loss=2.642594 lr=0.010000 Epoch[003] Batch [1049]/[3760] Speed: 34.819183 samples/sec accuracy=39.799107 loss=2.643970 lr=0.010000 Epoch[003] Batch [1099]/[3760] Speed: 35.021804 samples/sec accuracy=39.801136 loss=2.644757 lr=0.010000 Epoch[003] Batch [1149]/[3760] Speed: 34.762249 samples/sec accuracy=39.783967 loss=2.642961 lr=0.010000 Epoch[003] Batch [1199]/[3760] Speed: 35.126369 samples/sec accuracy=39.763021 loss=2.644400 lr=0.010000 Epoch[003] Batch [1249]/[3760] Speed: 35.115837 samples/sec accuracy=39.760000 loss=2.642341 lr=0.010000 Epoch[003] 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accuracy=39.875893 loss=2.639161 lr=0.010000 Epoch[003] Batch [1799]/[3760] Speed: 35.054088 samples/sec accuracy=39.913194 loss=2.639329 lr=0.010000 Epoch[003] Batch [1849]/[3760] Speed: 34.873701 samples/sec accuracy=39.920608 loss=2.638900 lr=0.010000 Epoch[003] Batch [1899]/[3760] Speed: 35.097728 samples/sec accuracy=39.939145 loss=2.637695 lr=0.010000 Epoch[003] Batch [1949]/[3760] Speed: 35.106262 samples/sec accuracy=39.924679 loss=2.638261 lr=0.010000 Epoch[003] Batch [1999]/[3760] Speed: 34.922656 samples/sec accuracy=39.941406 loss=2.637178 lr=0.010000 Epoch[003] Batch [2049]/[3760] Speed: 35.028489 samples/sec accuracy=39.939024 loss=2.636622 lr=0.010000 Epoch[003] Batch [2099]/[3760] Speed: 34.820615 samples/sec accuracy=39.921875 loss=2.637765 lr=0.010000 Epoch[003] Batch [2149]/[3760] Speed: 35.037594 samples/sec accuracy=39.960029 loss=2.636213 lr=0.010000 Epoch[003] Batch [2199]/[3760] Speed: 34.937564 samples/sec accuracy=40.006392 loss=2.633912 lr=0.010000 Epoch[003] 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accuracy=40.226273 loss=2.623990 lr=0.010000 Epoch[003] Batch [2749]/[3760] Speed: 34.925260 samples/sec accuracy=40.250000 loss=2.623027 lr=0.010000 Epoch[003] Batch [2799]/[3760] Speed: 35.177440 samples/sec accuracy=40.247210 loss=2.622384 lr=0.010000 Epoch[003] Batch [2849]/[3760] Speed: 34.790985 samples/sec accuracy=40.274123 loss=2.620826 lr=0.010000 Epoch[003] Batch [2899]/[3760] Speed: 35.160450 samples/sec accuracy=40.284483 loss=2.620395 lr=0.010000 Epoch[003] Batch [2949]/[3760] Speed: 34.755666 samples/sec accuracy=40.322034 loss=2.618793 lr=0.010000 Epoch[003] Batch [2999]/[3760] Speed: 35.079406 samples/sec accuracy=40.336979 loss=2.618030 lr=0.010000 Epoch[003] Batch [3049]/[3760] Speed: 35.173006 samples/sec accuracy=40.355020 loss=2.617077 lr=0.010000 Epoch[003] Batch [3099]/[3760] Speed: 34.899309 samples/sec accuracy=40.338206 loss=2.617375 lr=0.010000 Epoch[003] Batch [3149]/[3760] Speed: 35.038432 samples/sec accuracy=40.357639 loss=2.616303 lr=0.010000 Epoch[003] 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accuracy=40.525685 loss=2.610373 lr=0.010000 Epoch[003] Batch [3699]/[3760] Speed: 35.163911 samples/sec accuracy=40.549409 loss=2.609276 lr=0.010000 Epoch[003] Batch [3749]/[3760] Speed: 36.263929 samples/sec accuracy=40.539167 loss=2.608873 lr=0.010000 Batch [0049]/[0303]: acc-top1=42.187500 acc-top5=70.468750 Batch [0099]/[0303]: acc-top1=42.812500 acc-top5=70.468750 Batch [0149]/[0303]: acc-top1=43.145833 acc-top5=70.802083 Batch [0199]/[0303]: acc-top1=43.171875 acc-top5=70.554688 Batch [0249]/[0303]: acc-top1=42.912500 acc-top5=70.256250 Batch [0299]/[0303]: acc-top1=42.880208 acc-top5=70.161458 [Epoch 003] training: accuracy=40.543135 loss=2.608784 [Epoch 003] speed: 34 samples/sec time cost: 7399.763301 [Epoch 003] validation: acc-top1=42.847566 acc-top5=70.147483 loss=2.748762 Epoch[004] Batch [0049]/[3760] Speed: 24.063222 samples/sec accuracy=43.312500 loss=2.428884 lr=0.010000 Epoch[004] Batch [0099]/[3760] Speed: 34.846363 samples/sec accuracy=43.093750 loss=2.461940 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lr=0.010000 Epoch[004] Batch [2999]/[3760] Speed: 35.012780 samples/sec accuracy=43.345833 loss=2.469120 lr=0.010000 Epoch[004] Batch [3049]/[3760] Speed: 35.056122 samples/sec accuracy=43.353484 loss=2.468947 lr=0.010000 Epoch[004] Batch [3099]/[3760] Speed: 35.131615 samples/sec accuracy=43.359879 loss=2.468631 lr=0.010000 Epoch[004] Batch [3149]/[3760] Speed: 35.054989 samples/sec accuracy=43.360119 loss=2.468644 lr=0.010000 Epoch[004] Batch [3199]/[3760] Speed: 35.023462 samples/sec accuracy=43.364746 loss=2.468137 lr=0.010000 Epoch[004] Batch [3249]/[3760] Speed: 35.174694 samples/sec accuracy=43.362019 loss=2.467426 lr=0.010000 Epoch[004] Batch [3299]/[3760] Speed: 35.037526 samples/sec accuracy=43.371686 loss=2.466912 lr=0.010000 Epoch[004] Batch [3349]/[3760] Speed: 35.109766 samples/sec accuracy=43.400187 loss=2.466436 lr=0.010000 Epoch[004] Batch [3399]/[3760] Speed: 35.100556 samples/sec accuracy=43.423254 loss=2.465003 lr=0.010000 Epoch[004] Batch [3449]/[3760] Speed: 35.348421 samples/sec accuracy=43.430254 loss=2.463828 lr=0.010000 Epoch[004] Batch [3499]/[3760] Speed: 34.821146 samples/sec accuracy=43.446429 loss=2.463371 lr=0.010000 Epoch[004] Batch [3549]/[3760] Speed: 35.400497 samples/sec accuracy=43.459947 loss=2.462937 lr=0.010000 Epoch[004] Batch [3599]/[3760] Speed: 35.065063 samples/sec accuracy=43.478733 loss=2.462236 lr=0.010000 Epoch[004] Batch [3649]/[3760] Speed: 35.249278 samples/sec accuracy=43.498716 loss=2.461140 lr=0.010000 Epoch[004] Batch [3699]/[3760] Speed: 35.057671 samples/sec accuracy=43.497044 loss=2.461175 lr=0.010000 Epoch[004] Batch [3749]/[3760] Speed: 36.546876 samples/sec accuracy=43.521667 loss=2.460126 lr=0.010000 Batch [0049]/[0303]: acc-top1=45.093750 acc-top5=71.312500 Batch [0099]/[0303]: acc-top1=45.296875 acc-top5=71.843750 Batch [0149]/[0303]: acc-top1=45.510417 acc-top5=71.916667 Batch [0199]/[0303]: acc-top1=45.531250 acc-top5=71.765625 Batch [0249]/[0303]: acc-top1=45.356250 acc-top5=71.537500 Batch [0299]/[0303]: acc-top1=45.406250 acc-top5=71.421875 [Epoch 004] training: accuracy=43.525598 loss=2.460104 [Epoch 004] speed: 34 samples/sec time cost: 7383.552210 [Epoch 004] validation: acc-top1=45.400165 acc-top5=71.400578 loss=2.607401 Epoch[005] Batch [0049]/[3759] Speed: 24.059357 samples/sec accuracy=45.218750 loss=2.351048 lr=0.010000 Epoch[005] Batch [0099]/[3759] Speed: 35.114628 samples/sec accuracy=45.546875 loss=2.358415 lr=0.010000 Epoch[005] Batch [0149]/[3759] Speed: 35.064729 samples/sec accuracy=46.041667 loss=2.323271 lr=0.010000 Epoch[005] Batch [0199]/[3759] Speed: 34.731522 samples/sec accuracy=46.250000 loss=2.311294 lr=0.010000 Epoch[005] Batch [0249]/[3759] Speed: 35.247912 samples/sec accuracy=46.356250 loss=2.304614 lr=0.010000 Epoch[005] Batch [0299]/[3759] Speed: 34.854018 samples/sec accuracy=46.218750 loss=2.311918 lr=0.010000 Epoch[005] Batch [0349]/[3759] Speed: 35.215816 samples/sec accuracy=45.973214 loss=2.320906 lr=0.010000 Epoch[005] Batch 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accuracy=45.545956 loss=2.346592 lr=0.010000 Epoch[005] Batch [0899]/[3759] Speed: 35.210264 samples/sec accuracy=45.501736 loss=2.349328 lr=0.010000 Epoch[005] Batch [0949]/[3759] Speed: 35.231152 samples/sec accuracy=45.472039 loss=2.351020 lr=0.010000 Epoch[005] Batch [0999]/[3759] Speed: 35.273737 samples/sec accuracy=45.464063 loss=2.350513 lr=0.010000 Epoch[005] Batch [1049]/[3759] Speed: 35.097148 samples/sec accuracy=45.523810 loss=2.349121 lr=0.010000 Epoch[005] Batch [1099]/[3759] Speed: 35.194439 samples/sec accuracy=45.491477 loss=2.351324 lr=0.010000 Epoch[005] Batch [1149]/[3759] Speed: 35.105897 samples/sec accuracy=45.442935 loss=2.352084 lr=0.010000 Epoch[005] Batch [1199]/[3759] Speed: 35.281433 samples/sec accuracy=45.440104 loss=2.351313 lr=0.010000 Epoch[005] Batch [1249]/[3759] Speed: 34.930067 samples/sec accuracy=45.423750 loss=2.351428 lr=0.010000 Epoch[005] Batch [1299]/[3759] Speed: 35.189539 samples/sec accuracy=45.411058 loss=2.352346 lr=0.010000 Epoch[005] 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accuracy=45.419271 loss=2.355210 lr=0.010000 Epoch[005] Batch [1849]/[3759] Speed: 35.253926 samples/sec accuracy=45.434122 loss=2.355442 lr=0.010000 Epoch[005] Batch [1899]/[3759] Speed: 35.085743 samples/sec accuracy=45.462993 loss=2.354851 lr=0.010000 Epoch[005] Batch [1949]/[3759] Speed: 35.061759 samples/sec accuracy=45.455929 loss=2.355664 lr=0.010000 Epoch[005] Batch [1999]/[3759] Speed: 35.102586 samples/sec accuracy=45.427344 loss=2.356518 lr=0.010000 Epoch[005] Batch [2049]/[3759] Speed: 35.189931 samples/sec accuracy=45.448171 loss=2.355511 lr=0.010000 Epoch[005] Batch [2099]/[3759] Speed: 35.184071 samples/sec accuracy=45.479167 loss=2.353655 lr=0.010000 Epoch[005] Batch [2149]/[3759] Speed: 35.102691 samples/sec accuracy=45.477471 loss=2.354279 lr=0.010000 Epoch[005] Batch [2199]/[3759] Speed: 35.020670 samples/sec accuracy=45.485795 loss=2.354048 lr=0.010000 Epoch[005] Batch [2249]/[3759] Speed: 35.154960 samples/sec accuracy=45.538194 loss=2.351831 lr=0.010000 Epoch[005] 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accuracy=45.586364 loss=2.347942 lr=0.010000 Epoch[005] Batch [2799]/[3759] Speed: 34.973513 samples/sec accuracy=45.614955 loss=2.347629 lr=0.010000 Epoch[005] Batch [2849]/[3759] Speed: 35.009735 samples/sec accuracy=45.620614 loss=2.347614 lr=0.010000 Epoch[005] Batch [2899]/[3759] Speed: 35.225612 samples/sec accuracy=45.629310 loss=2.346682 lr=0.010000 Epoch[005] Batch [2949]/[3759] Speed: 34.979181 samples/sec accuracy=45.640890 loss=2.345794 lr=0.010000 Epoch[005] Batch [2999]/[3759] Speed: 35.128303 samples/sec accuracy=45.651562 loss=2.345210 lr=0.010000 Epoch[005] Batch [3049]/[3759] Speed: 35.078539 samples/sec accuracy=45.654713 loss=2.345054 lr=0.010000 Epoch[005] Batch [3099]/[3759] Speed: 35.181375 samples/sec accuracy=45.655242 loss=2.345655 lr=0.010000 Epoch[005] Batch [3149]/[3759] Speed: 35.072215 samples/sec accuracy=45.640377 loss=2.346509 lr=0.010000 Epoch[005] Batch [3199]/[3759] Speed: 34.849986 samples/sec accuracy=45.642578 loss=2.346627 lr=0.010000 Epoch[005] Batch [3249]/[3759] Speed: 35.180327 samples/sec accuracy=45.660096 loss=2.346266 lr=0.010000 Epoch[005] Batch [3299]/[3759] Speed: 34.905797 samples/sec accuracy=45.661458 loss=2.345839 lr=0.010000 Epoch[005] Batch [3349]/[3759] Speed: 35.311151 samples/sec accuracy=45.646455 loss=2.346405 lr=0.010000 Epoch[005] Batch [3399]/[3759] Speed: 34.985760 samples/sec accuracy=45.650735 loss=2.346068 lr=0.010000 Epoch[005] Batch [3449]/[3759] Speed: 34.979290 samples/sec accuracy=45.675725 loss=2.344694 lr=0.010000 Epoch[005] Batch [3499]/[3759] Speed: 34.946438 samples/sec accuracy=45.677679 loss=2.344502 lr=0.010000 Epoch[005] Batch [3549]/[3759] Speed: 35.103099 samples/sec accuracy=45.667254 loss=2.344326 lr=0.010000 Epoch[005] Batch [3599]/[3759] Speed: 34.988763 samples/sec accuracy=45.675347 loss=2.344338 lr=0.010000 Epoch[005] Batch [3649]/[3759] Speed: 34.966967 samples/sec accuracy=45.692209 loss=2.343278 lr=0.010000 Epoch[005] Batch [3699]/[3759] Speed: 35.048106 samples/sec accuracy=45.686655 loss=2.343365 lr=0.010000 Epoch[005] Batch [3749]/[3759] Speed: 36.319611 samples/sec accuracy=45.692500 loss=2.343218 lr=0.010000 Batch [0049]/[0303]: acc-top1=46.250000 acc-top5=73.187500 Batch [0099]/[0303]: acc-top1=47.437500 acc-top5=74.171875 Batch [0149]/[0303]: acc-top1=47.791667 acc-top5=74.208333 Batch [0199]/[0303]: acc-top1=47.820312 acc-top5=74.015625 Batch [0249]/[0303]: acc-top1=47.568750 acc-top5=73.887500 Batch [0299]/[0303]: acc-top1=47.729167 acc-top5=73.859375 [Epoch 005] training: accuracy=45.696578 loss=2.343075 [Epoch 005] speed: 34 samples/sec time cost: 7380.307971 [Epoch 005] validation: acc-top1=47.679455 acc-top5=73.839728 loss=2.447927 Epoch[006] Batch [0049]/[3760] Speed: 24.069558 samples/sec accuracy=47.656250 loss=2.235820 lr=0.010000 Epoch[006] Batch [0099]/[3760] Speed: 34.787511 samples/sec accuracy=47.625000 loss=2.241828 lr=0.010000 Epoch[006] Batch [0149]/[3760] Speed: 35.241408 samples/sec accuracy=47.458333 loss=2.251840 lr=0.010000 Epoch[006] Batch [0199]/[3760] Speed: 34.884302 samples/sec accuracy=47.304688 loss=2.253137 lr=0.010000 Epoch[006] Batch [0249]/[3760] Speed: 35.035915 samples/sec accuracy=47.218750 loss=2.247966 lr=0.010000 Epoch[006] Batch [0299]/[3760] Speed: 34.896152 samples/sec accuracy=47.145833 loss=2.248777 lr=0.010000 Epoch[006] Batch [0349]/[3760] Speed: 35.135939 samples/sec accuracy=47.205357 loss=2.254683 lr=0.010000 Epoch[006] Batch [0399]/[3760] Speed: 34.983903 samples/sec accuracy=47.304688 loss=2.250725 lr=0.010000 Epoch[006] Batch [0449]/[3760] Speed: 35.089518 samples/sec accuracy=47.406250 loss=2.247064 lr=0.010000 Epoch[006] Batch [0499]/[3760] Speed: 35.002388 samples/sec accuracy=47.521875 loss=2.244732 lr=0.010000 Epoch[006] Batch [0549]/[3760] Speed: 35.109035 samples/sec accuracy=47.511364 loss=2.247110 lr=0.010000 Epoch[006] Batch [0599]/[3760] Speed: 35.089122 samples/sec accuracy=47.447917 loss=2.252307 lr=0.010000 Epoch[006] Batch [0649]/[3760] Speed: 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lr=0.010000 Epoch[006] Batch [1149]/[3760] Speed: 34.963941 samples/sec accuracy=47.527174 loss=2.254270 lr=0.010000 Epoch[006] Batch [1199]/[3760] Speed: 35.179622 samples/sec accuracy=47.515625 loss=2.253060 lr=0.010000 Epoch[006] Batch [1249]/[3760] Speed: 34.879805 samples/sec accuracy=47.541250 loss=2.252358 lr=0.010000 Epoch[006] Batch [1299]/[3760] Speed: 35.144687 samples/sec accuracy=47.526442 loss=2.253681 lr=0.010000 Epoch[006] Batch [1349]/[3760] Speed: 35.091343 samples/sec accuracy=47.531250 loss=2.252897 lr=0.010000 Epoch[006] Batch [1399]/[3760] Speed: 35.077960 samples/sec accuracy=47.556920 loss=2.251766 lr=0.010000 Epoch[006] Batch [1449]/[3760] Speed: 35.191077 samples/sec accuracy=47.617457 loss=2.251558 lr=0.010000 Epoch[006] Batch [1499]/[3760] Speed: 35.209951 samples/sec accuracy=47.600000 loss=2.252770 lr=0.010000 Epoch[006] Batch [1549]/[3760] Speed: 35.067032 samples/sec accuracy=47.623992 loss=2.252766 lr=0.010000 Epoch[006] Batch [1599]/[3760] Speed: 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lr=0.010000 Epoch[006] Batch [2099]/[3760] Speed: 34.945679 samples/sec accuracy=47.671875 loss=2.251808 lr=0.010000 Epoch[006] Batch [2149]/[3760] Speed: 34.939318 samples/sec accuracy=47.643169 loss=2.253311 lr=0.010000 Epoch[006] Batch [2199]/[3760] Speed: 34.888845 samples/sec accuracy=47.640625 loss=2.253473 lr=0.010000 Epoch[006] Batch [2249]/[3760] Speed: 35.197975 samples/sec accuracy=47.597222 loss=2.255495 lr=0.010000 Epoch[006] Batch [2299]/[3760] Speed: 35.102998 samples/sec accuracy=47.576087 loss=2.255122 lr=0.010000 Epoch[006] Batch [2349]/[3760] Speed: 35.265474 samples/sec accuracy=47.603723 loss=2.254523 lr=0.010000 Epoch[006] Batch [2399]/[3760] Speed: 35.157778 samples/sec accuracy=47.602214 loss=2.254721 lr=0.010000 Epoch[006] Batch [2449]/[3760] Speed: 34.971561 samples/sec accuracy=47.598214 loss=2.254542 lr=0.010000 Epoch[006] Batch [2499]/[3760] Speed: 35.055595 samples/sec accuracy=47.591875 loss=2.254627 lr=0.010000 Epoch[006] Batch [2549]/[3760] Speed: 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lr=0.010000 Epoch[006] Batch [3049]/[3760] Speed: 34.936780 samples/sec accuracy=47.655738 loss=2.252463 lr=0.010000 Epoch[006] Batch [3099]/[3760] Speed: 35.053274 samples/sec accuracy=47.649194 loss=2.252871 lr=0.010000 Epoch[006] Batch [3149]/[3760] Speed: 35.204502 samples/sec accuracy=47.661210 loss=2.252416 lr=0.010000 Epoch[006] Batch [3199]/[3760] Speed: 35.025997 samples/sec accuracy=47.666016 loss=2.252168 lr=0.010000 Epoch[006] Batch [3249]/[3760] Speed: 35.175250 samples/sec accuracy=47.672115 loss=2.252104 lr=0.010000 Epoch[006] Batch [3299]/[3760] Speed: 34.957835 samples/sec accuracy=47.669034 loss=2.251637 lr=0.010000 Epoch[006] Batch [3349]/[3760] Speed: 35.118790 samples/sec accuracy=47.679571 loss=2.251308 lr=0.010000 Epoch[006] Batch [3399]/[3760] Speed: 35.306509 samples/sec accuracy=47.681985 loss=2.251428 lr=0.010000 Epoch[006] Batch [3449]/[3760] Speed: 35.002025 samples/sec accuracy=47.702446 loss=2.251188 lr=0.010000 Epoch[006] Batch [3499]/[3760] Speed: 35.121672 samples/sec accuracy=47.737946 loss=2.249726 lr=0.010000 Epoch[006] Batch [3549]/[3760] Speed: 35.086298 samples/sec accuracy=47.762324 loss=2.248704 lr=0.010000 Epoch[006] Batch [3599]/[3760] Speed: 35.086758 samples/sec accuracy=47.774306 loss=2.247900 lr=0.010000 Epoch[006] Batch [3649]/[3760] Speed: 34.876703 samples/sec accuracy=47.780394 loss=2.247631 lr=0.010000 Epoch[006] Batch [3699]/[3760] Speed: 35.136598 samples/sec accuracy=47.773649 loss=2.247754 lr=0.010000 Epoch[006] Batch [3749]/[3760] Speed: 36.350416 samples/sec accuracy=47.759583 loss=2.247959 lr=0.010000 Batch [0049]/[0303]: acc-top1=49.656250 acc-top5=75.156250 Batch [0099]/[0303]: acc-top1=49.703125 acc-top5=75.468750 Batch [0149]/[0303]: acc-top1=49.718750 acc-top5=75.552083 Batch [0199]/[0303]: acc-top1=49.570312 acc-top5=75.312500 Batch [0249]/[0303]: acc-top1=49.275000 acc-top5=75.043750 Batch [0299]/[0303]: acc-top1=49.395833 acc-top5=75.067708 [Epoch 006] training: accuracy=47.762217 loss=2.248106 [Epoch 006] speed: 34 samples/sec time cost: 7386.291556 [Epoch 006] validation: acc-top1=49.365718 acc-top5=75.051568 loss=2.399570 Epoch[007] Batch [0049]/[3760] Speed: 23.949385 samples/sec accuracy=50.968750 loss=2.125078 lr=0.010000 Epoch[007] Batch [0099]/[3760] Speed: 34.879980 samples/sec accuracy=49.781250 loss=2.153803 lr=0.010000 Epoch[007] Batch [0149]/[3760] Speed: 35.132586 samples/sec accuracy=49.875000 loss=2.144970 lr=0.010000 Epoch[007] Batch [0199]/[3760] Speed: 34.854784 samples/sec accuracy=50.062500 loss=2.139704 lr=0.010000 Epoch[007] Batch [0249]/[3760] Speed: 35.367917 samples/sec accuracy=49.993750 loss=2.140461 lr=0.010000 Epoch[007] Batch [0299]/[3760] Speed: 35.024609 samples/sec accuracy=49.781250 loss=2.145110 lr=0.010000 Epoch[007] Batch [0349]/[3760] Speed: 35.435740 samples/sec accuracy=49.848214 loss=2.137662 lr=0.010000 Epoch[007] Batch [0399]/[3760] Speed: 35.426217 samples/sec accuracy=49.796875 loss=2.141423 lr=0.010000 Epoch[007] Batch 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accuracy=49.390625 loss=2.167279 lr=0.010000 Epoch[007] Batch [0949]/[3760] Speed: 35.297185 samples/sec accuracy=49.449013 loss=2.166300 lr=0.010000 Epoch[007] Batch [0999]/[3760] Speed: 35.346628 samples/sec accuracy=49.489062 loss=2.167173 lr=0.010000 Epoch[007] Batch [1049]/[3760] Speed: 35.114446 samples/sec accuracy=49.504464 loss=2.166266 lr=0.010000 Epoch[007] Batch [1099]/[3760] Speed: 35.224669 samples/sec accuracy=49.444602 loss=2.168223 lr=0.010000 Epoch[007] Batch [1149]/[3760] Speed: 35.080693 samples/sec accuracy=49.419837 loss=2.168510 lr=0.010000 Epoch[007] Batch [1199]/[3760] Speed: 35.215147 samples/sec accuracy=49.417969 loss=2.167930 lr=0.010000 Epoch[007] Batch [1249]/[3760] Speed: 35.268612 samples/sec accuracy=49.442500 loss=2.166140 lr=0.010000 Epoch[007] Batch [1299]/[3760] Speed: 35.227591 samples/sec accuracy=49.420673 loss=2.166388 lr=0.010000 Epoch[007] Batch [1349]/[3760] Speed: 35.094825 samples/sec accuracy=49.356481 loss=2.166855 lr=0.010000 Epoch[007] Batch [1399]/[3760] Speed: 35.202406 samples/sec accuracy=49.400670 loss=2.165181 lr=0.010000 Epoch[007] Batch [1449]/[3760] Speed: 35.123479 samples/sec accuracy=49.391164 loss=2.166208 lr=0.010000 Epoch[007] Batch [1499]/[3760] Speed: 35.277178 samples/sec accuracy=49.363542 loss=2.167386 lr=0.010000 Epoch[007] Batch [1549]/[3760] Speed: 35.310664 samples/sec accuracy=49.339718 loss=2.167386 lr=0.010000 Epoch[007] Batch [1599]/[3760] Speed: 35.129152 samples/sec accuracy=49.328125 loss=2.168246 lr=0.010000 Epoch[007] Batch [1649]/[3760] Speed: 35.203134 samples/sec accuracy=49.308712 loss=2.169587 lr=0.010000 Epoch[007] Batch [1699]/[3760] Speed: 35.236347 samples/sec accuracy=49.310662 loss=2.169864 lr=0.010000 Epoch[007] Batch [1749]/[3760] Speed: 35.074832 samples/sec accuracy=49.297321 loss=2.169575 lr=0.010000 Epoch[007] Batch [1799]/[3760] Speed: 35.166547 samples/sec accuracy=49.317708 loss=2.169774 lr=0.010000 Epoch[007] Batch [1849]/[3760] Speed: 35.145970 samples/sec accuracy=49.301520 loss=2.169853 lr=0.010000 Epoch[007] Batch [1899]/[3760] Speed: 34.805613 samples/sec accuracy=49.314967 loss=2.168740 lr=0.010000 Epoch[007] Batch [1949]/[3760] Speed: 35.422880 samples/sec accuracy=49.317308 loss=2.168699 lr=0.010000 Epoch[007] Batch [1999]/[3760] Speed: 35.022694 samples/sec accuracy=49.310938 loss=2.168598 lr=0.010000 Epoch[007] Batch [2049]/[3760] Speed: 35.329017 samples/sec accuracy=49.320122 loss=2.168242 lr=0.010000 Epoch[007] Batch [2099]/[3760] Speed: 35.215828 samples/sec accuracy=49.333333 loss=2.167964 lr=0.010000 Epoch[007] Batch [2149]/[3760] Speed: 35.225338 samples/sec accuracy=49.300145 loss=2.168820 lr=0.010000 Epoch[007] Batch [2199]/[3760] Speed: 35.194102 samples/sec accuracy=49.288352 loss=2.168864 lr=0.010000 Epoch[007] Batch [2249]/[3760] Speed: 35.207677 samples/sec accuracy=49.255556 loss=2.170927 lr=0.010000 Epoch[007] Batch [2299]/[3760] Speed: 35.179423 samples/sec accuracy=49.234375 loss=2.170875 lr=0.010000 Epoch[007] Batch [2349]/[3760] Speed: 35.142773 samples/sec accuracy=49.210771 loss=2.171929 lr=0.010000 Epoch[007] Batch [2399]/[3760] Speed: 35.195891 samples/sec accuracy=49.195964 loss=2.172407 lr=0.010000 Epoch[007] Batch [2449]/[3760] Speed: 34.932172 samples/sec accuracy=49.188776 loss=2.173481 lr=0.010000 Epoch[007] Batch [2499]/[3760] Speed: 35.357175 samples/sec accuracy=49.195000 loss=2.172746 lr=0.010000 Epoch[007] Batch [2549]/[3760] Speed: 34.883622 samples/sec accuracy=49.200980 loss=2.171592 lr=0.010000 Epoch[007] Batch [2599]/[3760] Speed: 35.533284 samples/sec accuracy=49.195913 loss=2.171713 lr=0.010000 Epoch[007] Batch [2649]/[3760] Speed: 35.142008 samples/sec accuracy=49.234080 loss=2.169969 lr=0.010000 Epoch[007] Batch [2699]/[3760] Speed: 35.258188 samples/sec accuracy=49.210648 loss=2.170871 lr=0.010000 Epoch[007] Batch [2749]/[3760] Speed: 35.129816 samples/sec accuracy=49.199432 loss=2.171144 lr=0.010000 Epoch[007] Batch [2799]/[3760] Speed: 35.349546 samples/sec accuracy=49.177455 loss=2.172000 lr=0.010000 Epoch[007] Batch [2849]/[3760] Speed: 34.998670 samples/sec accuracy=49.179276 loss=2.172392 lr=0.010000 Epoch[007] Batch [2899]/[3760] Speed: 35.445150 samples/sec accuracy=49.192888 loss=2.171356 lr=0.010000 Epoch[007] Batch [2949]/[3760] Speed: 35.224802 samples/sec accuracy=49.206568 loss=2.170852 lr=0.010000 Epoch[007] Batch [2999]/[3760] Speed: 35.307163 samples/sec accuracy=49.182812 loss=2.171683 lr=0.010000 Epoch[007] Batch [3049]/[3760] Speed: 35.121227 samples/sec accuracy=49.193648 loss=2.171537 lr=0.010000 Epoch[007] Batch [3099]/[3760] Speed: 35.097450 samples/sec accuracy=49.188508 loss=2.171268 lr=0.010000 Epoch[007] Batch [3149]/[3760] Speed: 35.257799 samples/sec accuracy=49.172123 loss=2.172541 lr=0.010000 Epoch[007] Batch [3199]/[3760] Speed: 35.269794 samples/sec accuracy=49.173828 loss=2.172141 lr=0.010000 Epoch[007] Batch [3249]/[3760] Speed: 35.066429 samples/sec accuracy=49.176923 loss=2.171971 lr=0.010000 Epoch[007] Batch [3299]/[3760] Speed: 35.325357 samples/sec accuracy=49.192235 loss=2.171040 lr=0.010000 Epoch[007] Batch [3349]/[3760] Speed: 35.100335 samples/sec accuracy=49.212687 loss=2.170580 lr=0.010000 Epoch[007] Batch [3399]/[3760] Speed: 35.130849 samples/sec accuracy=49.231618 loss=2.170340 lr=0.010000 Epoch[007] Batch [3449]/[3760] Speed: 35.430987 samples/sec accuracy=49.226902 loss=2.170413 lr=0.010000 Epoch[007] Batch [3499]/[3760] Speed: 35.155602 samples/sec accuracy=49.213393 loss=2.171118 lr=0.010000 Epoch[007] Batch [3549]/[3760] Speed: 35.320338 samples/sec accuracy=49.206426 loss=2.171113 lr=0.010000 Epoch[007] Batch [3599]/[3760] Speed: 35.118141 samples/sec accuracy=49.209201 loss=2.170901 lr=0.010000 Epoch[007] Batch [3649]/[3760] Speed: 35.173360 samples/sec accuracy=49.202483 loss=2.170959 lr=0.010000 Epoch[007] Batch [3699]/[3760] Speed: 35.232175 samples/sec accuracy=49.205236 loss=2.171061 lr=0.010000 Epoch[007] Batch [3749]/[3760] Speed: 36.415851 samples/sec accuracy=49.199583 loss=2.171204 lr=0.010000 Batch [0049]/[0303]: acc-top1=50.000000 acc-top5=76.406250 Batch [0099]/[0303]: acc-top1=50.453125 acc-top5=76.562500 Batch [0149]/[0303]: acc-top1=51.031250 acc-top5=76.531250 Batch [0199]/[0303]: acc-top1=50.960938 acc-top5=76.687500 Batch [0249]/[0303]: acc-top1=50.806250 acc-top5=76.231250 Batch [0299]/[0303]: acc-top1=50.937500 acc-top5=76.182292 [Epoch 007] training: accuracy=49.194648 loss=2.171439 [Epoch 007] speed: 34 samples/sec time cost: 7361.813933 [Epoch 007] validation: acc-top1=50.948845 acc-top5=76.165429 loss=2.346002 Epoch[008] Batch [0049]/[3759] Speed: 24.565026 samples/sec accuracy=52.562500 loss=1.996524 lr=0.010000 Epoch[008] Batch [0099]/[3759] Speed: 34.860123 samples/sec accuracy=51.687500 loss=2.027475 lr=0.010000 Epoch[008] Batch [0149]/[3759] Speed: 35.130257 samples/sec accuracy=51.312500 loss=2.038964 lr=0.010000 Epoch[008] Batch [0199]/[3759] Speed: 34.957819 samples/sec accuracy=51.078125 loss=2.040867 lr=0.010000 Epoch[008] Batch [0249]/[3759] Speed: 35.338320 samples/sec accuracy=50.981250 loss=2.057226 lr=0.010000 Epoch[008] Batch [0299]/[3759] Speed: 34.672232 samples/sec accuracy=50.890625 loss=2.069612 lr=0.010000 Epoch[008] Batch [0349]/[3759] Speed: 35.451592 samples/sec accuracy=50.665179 loss=2.085741 lr=0.010000 Epoch[008] Batch [0399]/[3759] Speed: 34.897075 samples/sec accuracy=50.593750 loss=2.087432 lr=0.010000 Epoch[008] Batch [0449]/[3759] Speed: 35.202054 samples/sec accuracy=50.736111 loss=2.082683 lr=0.010000 Epoch[008] Batch [0499]/[3759] Speed: 34.961647 samples/sec accuracy=50.668750 loss=2.087047 lr=0.010000 Epoch[008] Batch [0549]/[3759] Speed: 35.314656 samples/sec accuracy=50.625000 loss=2.090027 lr=0.010000 Epoch[008] Batch [0599]/[3759] Speed: 35.097234 samples/sec accuracy=50.645833 loss=2.090838 lr=0.010000 Epoch[008] Batch [0649]/[3759] Speed: 35.179835 samples/sec accuracy=50.634615 loss=2.087933 lr=0.010000 Epoch[008] Batch [0699]/[3759] Speed: 35.272493 samples/sec accuracy=50.696429 loss=2.088244 lr=0.010000 Epoch[008] Batch [0749]/[3759] Speed: 35.354486 samples/sec accuracy=50.727083 loss=2.087645 lr=0.010000 Epoch[008] Batch [0799]/[3759] Speed: 35.348798 samples/sec accuracy=50.771484 loss=2.083924 lr=0.010000 Epoch[008] Batch [0849]/[3759] Speed: 35.176454 samples/sec accuracy=50.678309 loss=2.089367 lr=0.010000 Epoch[008] Batch [0899]/[3759] Speed: 35.296164 samples/sec accuracy=50.661458 loss=2.091374 lr=0.010000 Epoch[008] Batch [0949]/[3759] Speed: 35.194739 samples/sec accuracy=50.723684 loss=2.093258 lr=0.010000 Epoch[008] Batch [0999]/[3759] Speed: 35.374949 samples/sec accuracy=50.671875 loss=2.096103 lr=0.010000 Epoch[008] Batch [1049]/[3759] Speed: 35.297734 samples/sec accuracy=50.723214 loss=2.095987 lr=0.010000 Epoch[008] Batch [1099]/[3759] Speed: 35.225902 samples/sec accuracy=50.691761 loss=2.097877 lr=0.010000 Epoch[008] Batch [1149]/[3759] Speed: 35.041882 samples/sec accuracy=50.733696 loss=2.097637 lr=0.010000 Epoch[008] Batch [1199]/[3759] Speed: 35.220897 samples/sec accuracy=50.787760 loss=2.096085 lr=0.010000 Epoch[008] Batch [1249]/[3759] Speed: 35.279525 samples/sec accuracy=50.735000 loss=2.097155 lr=0.010000 Epoch[008] Batch [1299]/[3759] Speed: 35.284779 samples/sec accuracy=50.717548 loss=2.098974 lr=0.010000 Epoch[008] Batch [1349]/[3759] Speed: 35.066881 samples/sec accuracy=50.681713 loss=2.100083 lr=0.010000 Epoch[008] Batch [1399]/[3759] Speed: 35.106927 samples/sec accuracy=50.700893 loss=2.099118 lr=0.010000 Epoch[008] Batch [1449]/[3759] Speed: 35.148388 samples/sec accuracy=50.687500 loss=2.099872 lr=0.010000 Epoch[008] Batch [1499]/[3759] Speed: 34.928232 samples/sec accuracy=50.696875 loss=2.098755 lr=0.010000 Epoch[008] Batch [1549]/[3759] Speed: 35.244785 samples/sec accuracy=50.743952 loss=2.096812 lr=0.010000 Epoch[008] Batch [1599]/[3759] Speed: 35.155262 samples/sec accuracy=50.735352 loss=2.098817 lr=0.010000 Epoch[008] Batch [1649]/[3759] Speed: 35.225491 samples/sec accuracy=50.749053 loss=2.099551 lr=0.010000 Epoch[008] Batch [1699]/[3759] Speed: 34.984606 samples/sec accuracy=50.788603 loss=2.098733 lr=0.010000 Epoch[008] Batch [1749]/[3759] Speed: 35.380150 samples/sec accuracy=50.768750 loss=2.098947 lr=0.010000 Epoch[008] Batch [1799]/[3759] Speed: 35.234608 samples/sec accuracy=50.730903 loss=2.099418 lr=0.010000 Epoch[008] Batch [1849]/[3759] Speed: 35.420007 samples/sec accuracy=50.722128 loss=2.097455 lr=0.010000 Epoch[008] Batch [1899]/[3759] Speed: 35.152124 samples/sec accuracy=50.743421 loss=2.095952 lr=0.010000 Epoch[008] Batch [1949]/[3759] Speed: 35.238307 samples/sec accuracy=50.737179 loss=2.096744 lr=0.010000 Epoch[008] Batch [1999]/[3759] Speed: 35.196743 samples/sec accuracy=50.746094 loss=2.096353 lr=0.010000 Epoch[008] Batch [2049]/[3759] Speed: 35.298961 samples/sec accuracy=50.735518 loss=2.096500 lr=0.010000 Epoch[008] Batch [2099]/[3759] Speed: 35.215455 samples/sec accuracy=50.716518 loss=2.097680 lr=0.010000 Epoch[008] Batch [2149]/[3759] Speed: 35.228532 samples/sec accuracy=50.721657 loss=2.097803 lr=0.010000 Epoch[008] Batch [2199]/[3759] Speed: 35.240801 samples/sec accuracy=50.741477 loss=2.097512 lr=0.010000 Epoch[008] Batch [2249]/[3759] Speed: 34.987305 samples/sec accuracy=50.775000 loss=2.097446 lr=0.010000 Epoch[008] Batch [2299]/[3759] Speed: 35.432715 samples/sec accuracy=50.760870 loss=2.098120 lr=0.010000 Epoch[008] Batch [2349]/[3759] Speed: 34.996311 samples/sec accuracy=50.765293 loss=2.097837 lr=0.010000 Epoch[008] Batch [2399]/[3759] Speed: 35.407945 samples/sec accuracy=50.753255 loss=2.099218 lr=0.010000 Epoch[008] Batch [2449]/[3759] Speed: 35.008313 samples/sec accuracy=50.755102 loss=2.099115 lr=0.010000 Epoch[008] Batch [2499]/[3759] Speed: 35.332105 samples/sec accuracy=50.746250 loss=2.099730 lr=0.010000 Epoch[008] Batch [2549]/[3759] Speed: 35.041389 samples/sec accuracy=50.775735 loss=2.099759 lr=0.010000 Epoch[008] Batch [2599]/[3759] Speed: 35.291236 samples/sec accuracy=50.758413 loss=2.100277 lr=0.010000 Epoch[008] Batch [2649]/[3759] Speed: 35.030157 samples/sec accuracy=50.772995 loss=2.099965 lr=0.010000 Epoch[008] Batch [2699]/[3759] Speed: 35.306404 samples/sec accuracy=50.758102 loss=2.099726 lr=0.010000 Epoch[008] Batch [2749]/[3759] Speed: 35.216272 samples/sec accuracy=50.715341 loss=2.101437 lr=0.010000 Epoch[008] Batch [2799]/[3759] Speed: 35.216259 samples/sec accuracy=50.689174 loss=2.102372 lr=0.010000 Epoch[008] Batch [2849]/[3759] Speed: 35.138045 samples/sec accuracy=50.686404 loss=2.103168 lr=0.010000 Epoch[008] Batch [2899]/[3759] Speed: 35.115229 samples/sec accuracy=50.696659 loss=2.103819 lr=0.010000 Epoch[008] Batch [2949]/[3759] Speed: 35.179951 samples/sec accuracy=50.699153 loss=2.103839 lr=0.010000 Epoch[008] Batch [2999]/[3759] Speed: 34.949514 samples/sec accuracy=50.705729 loss=2.103617 lr=0.010000 Epoch[008] Batch [3049]/[3759] Speed: 35.269807 samples/sec accuracy=50.706967 loss=2.103457 lr=0.010000 Epoch[008] Batch [3099]/[3759] Speed: 34.817178 samples/sec accuracy=50.706149 loss=2.103391 lr=0.010000 Epoch[008] Batch [3149]/[3759] Speed: 35.471880 samples/sec accuracy=50.713294 loss=2.103176 lr=0.010000 Epoch[008] Batch [3199]/[3759] Speed: 35.041764 samples/sec accuracy=50.712402 loss=2.103899 lr=0.010000 Epoch[008] Batch [3249]/[3759] Speed: 35.371901 samples/sec accuracy=50.697596 loss=2.104517 lr=0.010000 Epoch[008] Batch [3299]/[3759] Speed: 35.393770 samples/sec accuracy=50.696023 loss=2.104711 lr=0.010000 Epoch[008] Batch [3349]/[3759] Speed: 35.435739 samples/sec accuracy=50.703825 loss=2.105026 lr=0.010000 Epoch[008] Batch [3399]/[3759] Speed: 35.166659 samples/sec accuracy=50.686581 loss=2.105447 lr=0.010000 Epoch[008] Batch [3449]/[3759] Speed: 35.304620 samples/sec accuracy=50.673913 loss=2.106071 lr=0.010000 Epoch[008] Batch [3499]/[3759] Speed: 35.068943 samples/sec accuracy=50.669196 loss=2.106281 lr=0.010000 Epoch[008] Batch [3549]/[3759] Speed: 35.159237 samples/sec accuracy=50.676496 loss=2.106509 lr=0.010000 Epoch[008] Batch [3599]/[3759] Speed: 35.311893 samples/sec accuracy=50.666667 loss=2.106675 lr=0.010000 Epoch[008] Batch [3649]/[3759] Speed: 35.171145 samples/sec accuracy=50.668236 loss=2.106316 lr=0.010000 Epoch[008] Batch [3699]/[3759] Speed: 35.331456 samples/sec accuracy=50.677365 loss=2.106055 lr=0.010000 Epoch[008] Batch [3749]/[3759] Speed: 36.331504 samples/sec accuracy=50.667083 loss=2.106542 lr=0.010000 Batch [0049]/[0303]: acc-top1=51.375000 acc-top5=76.750000 Batch [0099]/[0303]: acc-top1=51.546875 acc-top5=76.375000 Batch [0149]/[0303]: acc-top1=51.875000 acc-top5=76.739583 Batch [0199]/[0303]: acc-top1=51.742188 acc-top5=76.890625 Batch [0249]/[0303]: acc-top1=51.587500 acc-top5=76.556250 Batch [0299]/[0303]: acc-top1=51.713542 acc-top5=76.447917 [Epoch 008] training: accuracy=50.677125 loss=2.106185 [Epoch 008] speed: 35 samples/sec time cost: 7359.253261 [Epoch 008] validation: acc-top1=51.650165 acc-top5=76.418111 loss=2.294714 Epoch[009] Batch [0049]/[3760] Speed: 23.975858 samples/sec accuracy=51.093750 loss=2.086090 lr=0.010000 Epoch[009] Batch [0099]/[3760] Speed: 34.859701 samples/sec accuracy=51.890625 loss=2.025543 lr=0.010000 Epoch[009] Batch [0149]/[3760] Speed: 35.165926 samples/sec accuracy=52.156250 loss=2.008072 lr=0.010000 Epoch[009] Batch [0199]/[3760] Speed: 34.953119 samples/sec accuracy=52.039062 loss=2.015579 lr=0.010000 Epoch[009] Batch [0249]/[3760] Speed: 35.435053 samples/sec accuracy=51.943750 loss=2.016207 lr=0.010000 Epoch[009] Batch [0299]/[3760] Speed: 34.906336 samples/sec accuracy=51.843750 loss=2.020276 lr=0.010000 Epoch[009] Batch [0349]/[3760] Speed: 35.380125 samples/sec accuracy=51.593750 loss=2.035005 lr=0.010000 Epoch[009] Batch [0399]/[3760] Speed: 35.047929 samples/sec accuracy=51.519531 loss=2.040648 lr=0.010000 Epoch[009] Batch [0449]/[3760] Speed: 35.357866 samples/sec accuracy=51.791667 loss=2.032429 lr=0.010000 Epoch[009] Batch 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accuracy=51.828947 loss=2.043907 lr=0.010000 Epoch[009] Batch [0999]/[3760] Speed: 34.980367 samples/sec accuracy=51.798438 loss=2.043294 lr=0.010000 Epoch[009] Batch [1049]/[3760] Speed: 35.179456 samples/sec accuracy=51.788690 loss=2.043545 lr=0.010000 Epoch[009] Batch [1099]/[3760] Speed: 35.116737 samples/sec accuracy=51.833807 loss=2.043728 lr=0.010000 Epoch[009] Batch [1149]/[3760] Speed: 35.167282 samples/sec accuracy=51.785326 loss=2.045829 lr=0.010000 Epoch[009] Batch [1199]/[3760] Speed: 35.117435 samples/sec accuracy=51.777344 loss=2.047459 lr=0.010000 Epoch[009] Batch [1249]/[3760] Speed: 35.246988 samples/sec accuracy=51.795000 loss=2.046687 lr=0.010000 Epoch[009] Batch [1299]/[3760] Speed: 35.107589 samples/sec accuracy=51.816106 loss=2.046602 lr=0.010000 Epoch[009] Batch [1349]/[3760] Speed: 35.149729 samples/sec accuracy=51.792824 loss=2.046758 lr=0.010000 Epoch[009] Batch [1399]/[3760] Speed: 35.276113 samples/sec accuracy=51.830357 loss=2.045256 lr=0.010000 Epoch[009] 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accuracy=51.747533 loss=2.049159 lr=0.010000 Epoch[009] Batch [1949]/[3760] Speed: 35.097430 samples/sec accuracy=51.772436 loss=2.049943 lr=0.010000 Epoch[009] Batch [1999]/[3760] Speed: 35.178416 samples/sec accuracy=51.749219 loss=2.051920 lr=0.010000 Epoch[009] Batch [2049]/[3760] Speed: 35.196146 samples/sec accuracy=51.756098 loss=2.052096 lr=0.010000 Epoch[009] Batch [2099]/[3760] Speed: 35.353926 samples/sec accuracy=51.744792 loss=2.051889 lr=0.010000 Epoch[009] Batch [2149]/[3760] Speed: 35.045239 samples/sec accuracy=51.722384 loss=2.052353 lr=0.010000 Epoch[009] Batch [2199]/[3760] Speed: 35.277068 samples/sec accuracy=51.730114 loss=2.051390 lr=0.010000 Epoch[009] Batch [2249]/[3760] Speed: 35.240116 samples/sec accuracy=51.737500 loss=2.051289 lr=0.010000 Epoch[009] Batch [2299]/[3760] Speed: 35.406107 samples/sec accuracy=51.729620 loss=2.051380 lr=0.010000 Epoch[009] Batch [2349]/[3760] Speed: 35.148398 samples/sec accuracy=51.700133 loss=2.052641 lr=0.010000 Epoch[009] 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accuracy=51.598136 loss=2.059077 lr=0.010000 Epoch[009] Batch [2899]/[3760] Speed: 34.805241 samples/sec accuracy=51.598060 loss=2.059815 lr=0.010000 Epoch[009] Batch [2949]/[3760] Speed: 34.633412 samples/sec accuracy=51.602754 loss=2.059529 lr=0.010000 Epoch[009] Batch [2999]/[3760] Speed: 34.957569 samples/sec accuracy=51.597396 loss=2.059763 lr=0.010000 Epoch[009] Batch [3049]/[3760] Speed: 34.373288 samples/sec accuracy=51.609631 loss=2.059630 lr=0.010000 Epoch[009] Batch [3099]/[3760] Speed: 35.124587 samples/sec accuracy=51.598286 loss=2.058979 lr=0.010000 Epoch[009] Batch [3149]/[3760] Speed: 34.707429 samples/sec accuracy=51.590278 loss=2.058908 lr=0.010000 Epoch[009] Batch [3199]/[3760] Speed: 35.271329 samples/sec accuracy=51.606934 loss=2.058677 lr=0.010000 Epoch[009] Batch [3249]/[3760] Speed: 35.045578 samples/sec accuracy=51.604327 loss=2.058345 lr=0.010000 Epoch[009] Batch [3299]/[3760] Speed: 35.292287 samples/sec accuracy=51.607008 loss=2.058374 lr=0.010000 Epoch[009] Batch [3349]/[3760] Speed: 35.278686 samples/sec accuracy=51.596082 loss=2.058942 lr=0.010000 Epoch[009] Batch [3399]/[3760] Speed: 35.193271 samples/sec accuracy=51.590993 loss=2.058730 lr=0.010000 Epoch[009] Batch [3449]/[3760] Speed: 35.206441 samples/sec accuracy=51.596467 loss=2.058689 lr=0.010000 Epoch[009] Batch [3499]/[3760] Speed: 35.212628 samples/sec accuracy=51.589286 loss=2.059036 lr=0.010000 Epoch[009] Batch [3549]/[3760] Speed: 35.295155 samples/sec accuracy=51.573504 loss=2.059895 lr=0.010000 Epoch[009] Batch [3599]/[3760] Speed: 34.976543 samples/sec accuracy=51.589410 loss=2.059745 lr=0.010000 Epoch[009] Batch [3649]/[3760] Speed: 35.198230 samples/sec accuracy=51.595034 loss=2.058926 lr=0.010000 Epoch[009] Batch [3699]/[3760] Speed: 35.214321 samples/sec accuracy=51.613176 loss=2.058436 lr=0.010000 Epoch[009] Batch [3749]/[3760] Speed: 36.404134 samples/sec accuracy=51.607500 loss=2.058949 lr=0.010000 Batch [0049]/[0303]: acc-top1=51.187500 acc-top5=77.312500 Batch [0099]/[0303]: acc-top1=51.750000 acc-top5=77.046875 Batch [0149]/[0303]: acc-top1=52.260417 acc-top5=77.187500 Batch [0199]/[0303]: acc-top1=52.125000 acc-top5=77.085938 Batch [0249]/[0303]: acc-top1=52.087500 acc-top5=76.775000 Batch [0299]/[0303]: acc-top1=52.046875 acc-top5=76.671875 [Epoch 009] training: accuracy=51.603640 loss=2.059334 [Epoch 009] speed: 34 samples/sec time cost: 7377.297972 [Epoch 009] validation: acc-top1=51.990512 acc-top5=76.665635 loss=2.268471 Epoch[010] Batch [0049]/[3760] Speed: 23.894773 samples/sec accuracy=53.625000 loss=1.948988 lr=0.010000 Epoch[010] Batch [0099]/[3760] Speed: 34.833967 samples/sec accuracy=52.812500 loss=1.990885 lr=0.010000 Epoch[010] Batch [0149]/[3760] Speed: 35.209302 samples/sec accuracy=52.843750 loss=1.986946 lr=0.010000 Epoch[010] Batch [0199]/[3760] Speed: 34.908539 samples/sec accuracy=52.664062 loss=1.998705 lr=0.010000 Epoch[010] Batch [0249]/[3760] Speed: 35.097456 samples/sec accuracy=52.325000 loss=2.008852 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lr=0.010000 Epoch[010] Batch [2199]/[3760] Speed: 34.487358 samples/sec accuracy=52.442472 loss=2.016157 lr=0.010000 Epoch[010] Batch [2249]/[3760] Speed: 34.872441 samples/sec accuracy=52.432639 loss=2.016272 lr=0.010000 Epoch[010] Batch [2299]/[3760] Speed: 34.652966 samples/sec accuracy=52.447011 loss=2.015603 lr=0.010000 Epoch[010] Batch [2349]/[3760] Speed: 34.714106 samples/sec accuracy=52.486037 loss=2.014557 lr=0.010000 Epoch[010] Batch [2399]/[3760] Speed: 35.116020 samples/sec accuracy=52.480469 loss=2.014785 lr=0.010000 Epoch[010] Batch [2449]/[3760] Speed: 34.395747 samples/sec accuracy=52.468112 loss=2.015155 lr=0.010000 Epoch[010] Batch [2499]/[3760] Speed: 35.149665 samples/sec accuracy=52.486250 loss=2.013417 lr=0.010000 Epoch[010] Batch [2549]/[3760] Speed: 34.364515 samples/sec accuracy=52.494485 loss=2.013135 lr=0.010000 Epoch[010] Batch [2599]/[3760] Speed: 35.175898 samples/sec accuracy=52.480168 loss=2.013323 lr=0.010000 Epoch[010] Batch [2649]/[3760] Speed: 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lr=0.010000 Epoch[010] Batch [3149]/[3760] Speed: 35.289993 samples/sec accuracy=52.448909 loss=2.016374 lr=0.010000 Epoch[010] Batch [3199]/[3760] Speed: 35.045089 samples/sec accuracy=52.444824 loss=2.016708 lr=0.010000 Epoch[010] Batch [3249]/[3760] Speed: 35.315682 samples/sec accuracy=52.478365 loss=2.015546 lr=0.010000 Epoch[010] Batch [3299]/[3760] Speed: 35.061630 samples/sec accuracy=52.506629 loss=2.014961 lr=0.010000 Epoch[010] Batch [3349]/[3760] Speed: 35.184736 samples/sec accuracy=52.493470 loss=2.015816 lr=0.010000 Epoch[010] Batch [3399]/[3760] Speed: 35.199510 samples/sec accuracy=52.495404 loss=2.016379 lr=0.010000 Epoch[010] Batch [3449]/[3760] Speed: 35.264923 samples/sec accuracy=52.509964 loss=2.015502 lr=0.010000 Epoch[010] Batch [3499]/[3760] Speed: 35.304674 samples/sec accuracy=52.512054 loss=2.015676 lr=0.010000 Epoch[010] Batch [3549]/[3760] Speed: 35.242413 samples/sec accuracy=52.505282 loss=2.015398 lr=0.010000 Epoch[010] Batch [3599]/[3760] Speed: 35.144352 samples/sec accuracy=52.489583 loss=2.015742 lr=0.010000 Epoch[010] Batch [3649]/[3760] Speed: 35.113295 samples/sec accuracy=52.469606 loss=2.016159 lr=0.010000 Epoch[010] Batch [3699]/[3760] Speed: 35.164742 samples/sec accuracy=52.492399 loss=2.015638 lr=0.010000 Epoch[010] Batch [3749]/[3760] Speed: 36.315213 samples/sec accuracy=52.497500 loss=2.015845 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.625000 acc-top5=77.656250 Batch [0099]/[0303]: acc-top1=52.828125 acc-top5=77.562500 Batch [0149]/[0303]: acc-top1=53.104167 acc-top5=77.750000 Batch [0199]/[0303]: acc-top1=52.726562 acc-top5=77.554688 Batch [0249]/[0303]: acc-top1=52.443750 acc-top5=77.381250 Batch [0299]/[0303]: acc-top1=52.468750 acc-top5=77.218750 [Epoch 010] training: accuracy=52.487118 loss=2.016059 [Epoch 010] speed: 34 samples/sec time cost: 7380.927936 [Epoch 010] validation: acc-top1=52.444307 acc-top5=77.196782 loss=2.197747 Epoch[011] Batch [0049]/[3759] Speed: 24.496205 samples/sec accuracy=53.468750 loss=1.931309 lr=0.010000 Epoch[011] Batch [0099]/[3759] Speed: 35.063691 samples/sec accuracy=54.734375 loss=1.889061 lr=0.010000 Epoch[011] Batch [0149]/[3759] Speed: 35.231256 samples/sec accuracy=54.968750 loss=1.889111 lr=0.010000 Epoch[011] Batch [0199]/[3759] Speed: 35.142337 samples/sec accuracy=54.960937 loss=1.895827 lr=0.010000 Epoch[011] Batch [0249]/[3759] Speed: 35.422263 samples/sec accuracy=54.718750 loss=1.908234 lr=0.010000 Epoch[011] Batch [0299]/[3759] Speed: 34.950186 samples/sec accuracy=54.723958 loss=1.913139 lr=0.010000 Epoch[011] Batch [0349]/[3759] Speed: 35.403861 samples/sec accuracy=54.714286 loss=1.914619 lr=0.010000 Epoch[011] Batch [0399]/[3759] Speed: 34.987172 samples/sec accuracy=54.359375 loss=1.922640 lr=0.010000 Epoch[011] Batch [0449]/[3759] Speed: 35.408618 samples/sec accuracy=54.277778 loss=1.922498 lr=0.010000 Epoch[011] Batch [0499]/[3759] Speed: 35.098542 samples/sec accuracy=54.209375 loss=1.926133 lr=0.010000 Epoch[011] 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accuracy=53.664062 loss=1.946118 lr=0.010000 Epoch[011] Batch [1049]/[3759] Speed: 35.210172 samples/sec accuracy=53.635417 loss=1.947375 lr=0.010000 Epoch[011] Batch [1099]/[3759] Speed: 35.155177 samples/sec accuracy=53.634943 loss=1.947074 lr=0.010000 Epoch[011] Batch [1149]/[3759] Speed: 35.145148 samples/sec accuracy=53.600543 loss=1.946823 lr=0.010000 Epoch[011] Batch [1199]/[3759] Speed: 35.295426 samples/sec accuracy=53.678385 loss=1.944786 lr=0.010000 Epoch[011] Batch [1249]/[3759] Speed: 35.123671 samples/sec accuracy=53.643750 loss=1.947360 lr=0.010000 Epoch[011] Batch [1299]/[3759] Speed: 35.364221 samples/sec accuracy=53.680288 loss=1.946884 lr=0.010000 Epoch[011] Batch [1349]/[3759] Speed: 35.071691 samples/sec accuracy=53.689815 loss=1.946961 lr=0.010000 Epoch[011] Batch [1399]/[3759] Speed: 35.214231 samples/sec accuracy=53.677455 loss=1.948937 lr=0.010000 Epoch[011] Batch [1449]/[3759] Speed: 35.142493 samples/sec accuracy=53.703664 loss=1.948669 lr=0.010000 Epoch[011] 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accuracy=53.605769 loss=1.955133 lr=0.010000 Epoch[011] Batch [1999]/[3759] Speed: 34.457323 samples/sec accuracy=53.566406 loss=1.956928 lr=0.010000 Epoch[011] Batch [2049]/[3759] Speed: 35.289715 samples/sec accuracy=53.536585 loss=1.958551 lr=0.010000 Epoch[011] Batch [2099]/[3759] Speed: 34.474630 samples/sec accuracy=53.502232 loss=1.960111 lr=0.010000 Epoch[011] Batch [2149]/[3759] Speed: 34.740144 samples/sec accuracy=53.530523 loss=1.960071 lr=0.010000 Epoch[011] Batch [2199]/[3759] Speed: 34.935071 samples/sec accuracy=53.533381 loss=1.960515 lr=0.010000 Epoch[011] Batch [2249]/[3759] Speed: 34.476054 samples/sec accuracy=53.517361 loss=1.960384 lr=0.010000 Epoch[011] Batch [2299]/[3759] Speed: 35.237308 samples/sec accuracy=53.507473 loss=1.960949 lr=0.010000 Epoch[011] Batch [2349]/[3759] Speed: 34.564549 samples/sec accuracy=53.501330 loss=1.961406 lr=0.010000 Epoch[011] Batch [2399]/[3759] Speed: 35.435285 samples/sec accuracy=53.457682 loss=1.963624 lr=0.010000 Epoch[011] 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accuracy=53.351832 loss=1.968864 lr=0.010000 Epoch[011] Batch [2949]/[3759] Speed: 35.248707 samples/sec accuracy=53.339513 loss=1.969360 lr=0.010000 Epoch[011] Batch [2999]/[3759] Speed: 34.851035 samples/sec accuracy=53.341667 loss=1.969144 lr=0.010000 Epoch[011] Batch [3049]/[3759] Speed: 35.509541 samples/sec accuracy=53.341189 loss=1.968936 lr=0.010000 Epoch[011] Batch [3099]/[3759] Speed: 35.122933 samples/sec accuracy=53.351310 loss=1.969032 lr=0.010000 Epoch[011] Batch [3149]/[3759] Speed: 35.248022 samples/sec accuracy=53.378968 loss=1.967898 lr=0.010000 Epoch[011] Batch [3199]/[3759] Speed: 34.972668 samples/sec accuracy=53.365723 loss=1.968391 lr=0.010000 Epoch[011] Batch [3249]/[3759] Speed: 35.571968 samples/sec accuracy=53.357692 loss=1.968552 lr=0.010000 Epoch[011] Batch [3299]/[3759] Speed: 35.092637 samples/sec accuracy=53.344223 loss=1.968918 lr=0.010000 Epoch[011] Batch [3349]/[3759] Speed: 35.354758 samples/sec accuracy=53.356810 loss=1.968892 lr=0.010000 Epoch[011] Batch [3399]/[3759] Speed: 35.208781 samples/sec accuracy=53.329963 loss=1.969983 lr=0.010000 Epoch[011] Batch [3449]/[3759] Speed: 35.340281 samples/sec accuracy=53.318388 loss=1.970154 lr=0.010000 Epoch[011] Batch [3499]/[3759] Speed: 35.292407 samples/sec accuracy=53.296875 loss=1.970745 lr=0.010000 Epoch[011] Batch [3549]/[3759] Speed: 35.290660 samples/sec accuracy=53.312500 loss=1.970499 lr=0.010000 Epoch[011] Batch [3599]/[3759] Speed: 35.331182 samples/sec accuracy=53.314670 loss=1.970801 lr=0.010000 Epoch[011] Batch [3649]/[3759] Speed: 35.302496 samples/sec accuracy=53.324914 loss=1.970594 lr=0.010000 Epoch[011] Batch [3699]/[3759] Speed: 35.242291 samples/sec accuracy=53.334459 loss=1.970591 lr=0.010000 Epoch[011] Batch [3749]/[3759] Speed: 36.465922 samples/sec accuracy=53.341250 loss=1.970101 lr=0.010000 Batch [0049]/[0303]: acc-top1=53.250000 acc-top5=78.468750 Batch [0099]/[0303]: acc-top1=53.656250 acc-top5=78.187500 Batch [0149]/[0303]: acc-top1=54.104167 acc-top5=78.385417 Batch [0199]/[0303]: acc-top1=53.562500 acc-top5=78.312500 Batch [0249]/[0303]: acc-top1=53.525000 acc-top5=78.075000 Batch [0299]/[0303]: acc-top1=53.552083 acc-top5=78.156250 [Epoch 011] training: accuracy=53.341564 loss=1.970048 [Epoch 011] speed: 34 samples/sec time cost: 7363.452621 [Epoch 011] validation: acc-top1=53.501444 acc-top5=78.150784 loss=2.210711 Epoch[012] Batch [0049]/[3760] Speed: 24.038496 samples/sec accuracy=54.468750 loss=1.902613 lr=0.010000 Epoch[012] Batch [0099]/[3760] Speed: 34.742907 samples/sec accuracy=54.421875 loss=1.900471 lr=0.010000 Epoch[012] Batch [0149]/[3760] Speed: 35.174621 samples/sec accuracy=54.593750 loss=1.903509 lr=0.010000 Epoch[012] Batch [0199]/[3760] Speed: 34.719440 samples/sec accuracy=54.554688 loss=1.895440 lr=0.010000 Epoch[012] Batch [0249]/[3760] Speed: 35.145981 samples/sec accuracy=54.718750 loss=1.889637 lr=0.010000 Epoch[012] Batch [0299]/[3760] Speed: 34.682510 samples/sec accuracy=54.578125 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accuracy=54.393750 loss=1.913862 lr=0.010000 Epoch[012] Batch [1299]/[3760] Speed: 35.035392 samples/sec accuracy=54.378606 loss=1.915138 lr=0.010000 Epoch[012] Batch [1349]/[3760] Speed: 35.312590 samples/sec accuracy=54.346065 loss=1.915094 lr=0.010000 Epoch[012] Batch [1399]/[3760] Speed: 34.974775 samples/sec accuracy=54.348214 loss=1.914490 lr=0.010000 Epoch[012] Batch [1449]/[3760] Speed: 35.454200 samples/sec accuracy=54.314655 loss=1.915349 lr=0.010000 Epoch[012] Batch [1499]/[3760] Speed: 34.818412 samples/sec accuracy=54.258333 loss=1.918111 lr=0.010000 Epoch[012] Batch [1549]/[3760] Speed: 35.499087 samples/sec accuracy=54.240927 loss=1.920627 lr=0.010000 Epoch[012] Batch [1599]/[3760] Speed: 35.129328 samples/sec accuracy=54.188477 loss=1.922718 lr=0.010000 Epoch[012] Batch [1649]/[3760] Speed: 35.415537 samples/sec accuracy=54.172348 loss=1.923243 lr=0.010000 Epoch[012] Batch [1699]/[3760] Speed: 34.786642 samples/sec accuracy=54.182904 loss=1.923265 lr=0.010000 Epoch[012] 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Batch [3649]/[3760] Speed: 34.762810 samples/sec accuracy=54.051370 loss=1.935230 lr=0.010000 Epoch[012] Batch [3699]/[3760] Speed: 35.318781 samples/sec accuracy=54.046030 loss=1.935445 lr=0.010000 Epoch[012] Batch [3749]/[3760] Speed: 36.174518 samples/sec accuracy=54.057917 loss=1.935772 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.312500 acc-top5=78.562500 Batch [0099]/[0303]: acc-top1=55.171875 acc-top5=78.500000 Batch [0149]/[0303]: acc-top1=55.177083 acc-top5=78.760417 Batch [0199]/[0303]: acc-top1=55.234375 acc-top5=79.054688 Batch [0249]/[0303]: acc-top1=54.975000 acc-top5=78.918750 Batch [0299]/[0303]: acc-top1=54.916667 acc-top5=78.854167 [Epoch 012] training: accuracy=54.068318 loss=1.935244 [Epoch 012] speed: 34 samples/sec time cost: 7359.322441 [Epoch 012] validation: acc-top1=54.883457 acc-top5=78.846947 loss=2.176675 Epoch[013] Batch [0049]/[3760] Speed: 24.457643 samples/sec accuracy=55.875000 loss=1.837441 lr=0.010000 Epoch[013] Batch [0099]/[3760] Speed: 35.183322 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lr=0.010000 Epoch[013] Batch [3449]/[3760] Speed: 35.292182 samples/sec accuracy=54.798007 loss=1.906057 lr=0.010000 Epoch[013] Batch [3499]/[3760] Speed: 35.469427 samples/sec accuracy=54.788393 loss=1.906285 lr=0.010000 Epoch[013] Batch [3549]/[3760] Speed: 34.982037 samples/sec accuracy=54.793134 loss=1.905813 lr=0.010000 Epoch[013] Batch [3599]/[3760] Speed: 35.289247 samples/sec accuracy=54.792101 loss=1.906470 lr=0.010000 Epoch[013] Batch [3649]/[3760] Speed: 34.906013 samples/sec accuracy=54.793664 loss=1.906535 lr=0.010000 Epoch[013] Batch [3699]/[3760] Speed: 35.299803 samples/sec accuracy=54.805743 loss=1.906202 lr=0.010000 Epoch[013] Batch [3749]/[3760] Speed: 36.303750 samples/sec accuracy=54.814583 loss=1.906057 lr=0.010000 Batch [0049]/[0303]: acc-top1=55.375000 acc-top5=79.125000 Batch [0099]/[0303]: acc-top1=55.187500 acc-top5=79.140625 Batch [0149]/[0303]: acc-top1=55.437500 acc-top5=79.250000 Batch [0199]/[0303]: acc-top1=54.960937 acc-top5=79.023438 Batch [0249]/[0303]: acc-top1=55.012500 acc-top5=78.912500 Batch [0299]/[0303]: acc-top1=54.848958 acc-top5=78.776042 [Epoch 013] training: accuracy=54.822141 loss=1.905765 [Epoch 013] speed: 34 samples/sec time cost: 7354.455866 [Epoch 013] validation: acc-top1=54.821576 acc-top5=78.759282 loss=2.134925 Epoch[014] Batch [0049]/[3759] Speed: 24.088031 samples/sec accuracy=55.531250 loss=1.818341 lr=0.010000 Epoch[014] Batch [0099]/[3759] Speed: 35.178340 samples/sec accuracy=55.703125 loss=1.825418 lr=0.010000 Epoch[014] Batch [0149]/[3759] Speed: 35.164777 samples/sec accuracy=56.125000 loss=1.831689 lr=0.010000 Epoch[014] Batch [0199]/[3759] Speed: 35.056640 samples/sec accuracy=56.492188 loss=1.820151 lr=0.010000 Epoch[014] Batch [0249]/[3759] Speed: 35.528209 samples/sec accuracy=56.581250 loss=1.814288 lr=0.010000 Epoch[014] Batch [0299]/[3759] Speed: 35.116990 samples/sec accuracy=56.447917 loss=1.816963 lr=0.010000 Epoch[014] Batch [0349]/[3759] Speed: 35.382097 samples/sec 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Batch [3699]/[3759] Speed: 35.200159 samples/sec accuracy=55.478885 loss=1.874788 lr=0.010000 Epoch[014] Batch [3749]/[3759] Speed: 36.036330 samples/sec accuracy=55.489167 loss=1.874523 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.687500 acc-top5=79.125000 Batch [0099]/[0303]: acc-top1=55.015625 acc-top5=79.218750 Batch [0149]/[0303]: acc-top1=55.458333 acc-top5=79.468750 Batch [0199]/[0303]: acc-top1=55.140625 acc-top5=79.507812 Batch [0249]/[0303]: acc-top1=54.943750 acc-top5=79.231250 Batch [0299]/[0303]: acc-top1=55.104167 acc-top5=79.281250 [Epoch 014] training: accuracy=55.485585 loss=1.874563 [Epoch 014] speed: 34 samples/sec time cost: 7362.188261 [Epoch 014] validation: acc-top1=55.084571 acc-top5=79.285272 loss=2.151888 Epoch[015] Batch [0049]/[3760] Speed: 24.201419 samples/sec accuracy=56.312500 loss=1.819449 lr=0.010000 Epoch[015] Batch [0099]/[3760] Speed: 34.955571 samples/sec accuracy=57.750000 loss=1.761497 lr=0.010000 Epoch[015] Batch [0149]/[3760] Speed: 34.963944 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lr=0.010000 Epoch[015] Batch [2549]/[3760] Speed: 34.719059 samples/sec accuracy=56.395221 loss=1.833406 lr=0.010000 Epoch[015] Batch [2599]/[3760] Speed: 35.222100 samples/sec accuracy=56.379808 loss=1.834562 lr=0.010000 Epoch[015] Batch [2649]/[3760] Speed: 34.649710 samples/sec accuracy=56.361439 loss=1.835151 lr=0.010000 Epoch[015] Batch [2699]/[3760] Speed: 35.380301 samples/sec accuracy=56.326968 loss=1.836702 lr=0.010000 Epoch[015] Batch [2749]/[3760] Speed: 34.860982 samples/sec accuracy=56.294318 loss=1.837981 lr=0.010000 Epoch[015] Batch [2799]/[3760] Speed: 35.152118 samples/sec accuracy=56.267299 loss=1.838504 lr=0.010000 Epoch[015] Batch [2849]/[3760] Speed: 34.834331 samples/sec accuracy=56.264254 loss=1.838741 lr=0.010000 Epoch[015] Batch [2899]/[3760] Speed: 34.956605 samples/sec accuracy=56.237608 loss=1.840324 lr=0.010000 Epoch[015] Batch [2949]/[3760] Speed: 35.459900 samples/sec accuracy=56.215042 loss=1.840670 lr=0.010000 Epoch[015] Batch [2999]/[3760] Speed: 35.017290 samples/sec accuracy=56.176563 loss=1.841972 lr=0.010000 Epoch[015] Batch [3049]/[3760] Speed: 35.365523 samples/sec accuracy=56.156762 loss=1.843110 lr=0.010000 Epoch[015] Batch [3099]/[3760] Speed: 35.349469 samples/sec accuracy=56.180948 loss=1.842820 lr=0.010000 Epoch[015] Batch [3149]/[3760] Speed: 35.440838 samples/sec accuracy=56.161706 loss=1.843352 lr=0.010000 Epoch[015] Batch [3199]/[3760] Speed: 35.165445 samples/sec accuracy=56.141113 loss=1.844248 lr=0.010000 Epoch[015] Batch [3249]/[3760] Speed: 35.265139 samples/sec accuracy=56.134615 loss=1.844797 lr=0.010000 Epoch[015] Batch [3299]/[3760] Speed: 35.033289 samples/sec accuracy=56.154830 loss=1.844059 lr=0.010000 Epoch[015] Batch [3349]/[3760] Speed: 35.362610 samples/sec accuracy=56.123601 loss=1.845155 lr=0.010000 Epoch[015] Batch [3399]/[3760] Speed: 35.050067 samples/sec accuracy=56.109835 loss=1.845484 lr=0.010000 Epoch[015] Batch [3449]/[3760] Speed: 35.402856 samples/sec accuracy=56.109601 loss=1.845153 lr=0.010000 Epoch[015] Batch [3499]/[3760] Speed: 35.149186 samples/sec accuracy=56.102232 loss=1.845408 lr=0.010000 Epoch[015] Batch [3549]/[3760] Speed: 35.504993 samples/sec accuracy=56.087148 loss=1.845925 lr=0.010000 Epoch[015] Batch [3599]/[3760] Speed: 35.261728 samples/sec accuracy=56.082031 loss=1.845970 lr=0.010000 Epoch[015] Batch [3649]/[3760] Speed: 35.385167 samples/sec accuracy=56.077911 loss=1.846163 lr=0.010000 Epoch[015] Batch [3699]/[3760] Speed: 35.048441 samples/sec accuracy=56.059966 loss=1.847229 lr=0.010000 Epoch[015] Batch [3749]/[3760] Speed: 36.528844 samples/sec accuracy=56.062917 loss=1.847510 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.187500 acc-top5=79.031250 Batch [0099]/[0303]: acc-top1=55.187500 acc-top5=79.281250 Batch [0149]/[0303]: acc-top1=55.895833 acc-top5=79.760417 Batch [0199]/[0303]: acc-top1=55.984375 acc-top5=79.757812 Batch [0249]/[0303]: acc-top1=55.837500 acc-top5=79.587500 Batch [0299]/[0303]: acc-top1=55.916667 acc-top5=79.609375 [Epoch 015] training: accuracy=56.067570 loss=1.847210 [Epoch 015] speed: 34 samples/sec time cost: 7359.501570 [Epoch 015] validation: acc-top1=55.868399 acc-top5=79.599835 loss=2.101443 Epoch[016] Batch [0049]/[3760] Speed: 25.455628 samples/sec accuracy=59.062500 loss=1.716537 lr=0.010000 Epoch[016] Batch [0099]/[3760] Speed: 35.308827 samples/sec accuracy=57.984375 loss=1.757090 lr=0.010000 Epoch[016] Batch [0149]/[3760] Speed: 35.054405 samples/sec accuracy=58.062500 loss=1.746534 lr=0.010000 Epoch[016] Batch [0199]/[3760] Speed: 34.874509 samples/sec accuracy=58.054688 loss=1.751295 lr=0.010000 Epoch[016] Batch [0249]/[3760] Speed: 35.360211 samples/sec accuracy=57.812500 loss=1.759711 lr=0.010000 Epoch[016] Batch [0299]/[3760] Speed: 35.043144 samples/sec accuracy=57.703125 loss=1.767920 lr=0.010000 Epoch[016] Batch [0349]/[3760] Speed: 35.458674 samples/sec accuracy=57.709821 loss=1.766873 lr=0.010000 Epoch[016] Batch [0399]/[3760] Speed: 35.126773 samples/sec accuracy=57.781250 loss=1.767331 lr=0.010000 Epoch[016] Batch [0449]/[3760] Speed: 35.458608 samples/sec accuracy=57.642361 loss=1.769429 lr=0.010000 Epoch[016] Batch [0499]/[3760] Speed: 35.111077 samples/sec accuracy=57.418750 loss=1.780110 lr=0.010000 Epoch[016] Batch [0549]/[3760] Speed: 35.432116 samples/sec accuracy=57.389205 loss=1.783478 lr=0.010000 Epoch[016] Batch [0599]/[3760] Speed: 35.126235 samples/sec accuracy=57.296875 loss=1.784834 lr=0.010000 Epoch[016] Batch [0649]/[3760] Speed: 35.529027 samples/sec accuracy=57.274038 loss=1.784372 lr=0.010000 Epoch[016] Batch [0699]/[3760] Speed: 35.211164 samples/sec accuracy=57.263393 loss=1.784120 lr=0.010000 Epoch[016] Batch [0749]/[3760] Speed: 35.284152 samples/sec accuracy=57.202083 loss=1.787632 lr=0.010000 Epoch[016] Batch [0799]/[3760] Speed: 35.360465 samples/sec accuracy=57.097656 loss=1.791881 lr=0.010000 Epoch[016] Batch [0849]/[3760] Speed: 35.345276 samples/sec accuracy=57.062500 loss=1.793370 lr=0.010000 Epoch[016] 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accuracy=56.866898 loss=1.803921 lr=0.010000 Epoch[016] Batch [1399]/[3760] Speed: 35.295647 samples/sec accuracy=56.911830 loss=1.803008 lr=0.010000 Epoch[016] Batch [1449]/[3760] Speed: 35.311284 samples/sec accuracy=56.904095 loss=1.802742 lr=0.010000 Epoch[016] Batch [1499]/[3760] Speed: 35.396345 samples/sec accuracy=56.858333 loss=1.804790 lr=0.010000 Epoch[016] Batch [1549]/[3760] Speed: 35.208666 samples/sec accuracy=56.878024 loss=1.803693 lr=0.010000 Epoch[016] Batch [1599]/[3760] Speed: 35.244615 samples/sec accuracy=56.854492 loss=1.803693 lr=0.010000 Epoch[016] Batch [1649]/[3760] Speed: 35.218509 samples/sec accuracy=56.872159 loss=1.802726 lr=0.010000 Epoch[016] Batch [1699]/[3760] Speed: 35.257172 samples/sec accuracy=56.863971 loss=1.803466 lr=0.010000 Epoch[016] Batch [1749]/[3760] Speed: 35.430524 samples/sec accuracy=56.833036 loss=1.805534 lr=0.010000 Epoch[016] Batch [1799]/[3760] Speed: 35.208860 samples/sec accuracy=56.815972 loss=1.806750 lr=0.010000 Epoch[016] 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accuracy=56.663723 loss=1.813913 lr=0.010000 Epoch[016] Batch [2349]/[3760] Speed: 35.038763 samples/sec accuracy=56.656915 loss=1.814289 lr=0.010000 Epoch[016] Batch [2399]/[3760] Speed: 35.265384 samples/sec accuracy=56.636068 loss=1.815310 lr=0.010000 Epoch[016] Batch [2449]/[3760] Speed: 34.704240 samples/sec accuracy=56.609694 loss=1.816889 lr=0.010000 Epoch[016] Batch [2499]/[3760] Speed: 35.337439 samples/sec accuracy=56.614375 loss=1.816587 lr=0.010000 Epoch[016] Batch [2549]/[3760] Speed: 34.829289 samples/sec accuracy=56.635417 loss=1.815565 lr=0.010000 Epoch[016] Batch [2599]/[3760] Speed: 34.959159 samples/sec accuracy=56.641226 loss=1.815592 lr=0.010000 Epoch[016] Batch [2649]/[3760] Speed: 35.089140 samples/sec accuracy=56.625590 loss=1.816598 lr=0.010000 Epoch[016] Batch [2699]/[3760] Speed: 34.674035 samples/sec accuracy=56.630208 loss=1.816939 lr=0.010000 Epoch[016] Batch [2749]/[3760] Speed: 35.307589 samples/sec accuracy=56.621591 loss=1.817828 lr=0.010000 Epoch[016] 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accuracy=56.546635 loss=1.821180 lr=0.010000 Epoch[016] Batch [3299]/[3760] Speed: 35.448812 samples/sec accuracy=56.543561 loss=1.821645 lr=0.010000 Epoch[016] Batch [3349]/[3760] Speed: 35.066285 samples/sec accuracy=56.538246 loss=1.822030 lr=0.010000 Epoch[016] Batch [3399]/[3760] Speed: 35.321441 samples/sec accuracy=56.523437 loss=1.822234 lr=0.010000 Epoch[016] Batch [3449]/[3760] Speed: 34.826028 samples/sec accuracy=56.507246 loss=1.822664 lr=0.010000 Epoch[016] Batch [3499]/[3760] Speed: 35.420758 samples/sec accuracy=56.502232 loss=1.822920 lr=0.010000 Epoch[016] Batch [3549]/[3760] Speed: 34.928011 samples/sec accuracy=56.499560 loss=1.822914 lr=0.010000 Epoch[016] Batch [3599]/[3760] Speed: 35.423902 samples/sec accuracy=56.521267 loss=1.822418 lr=0.010000 Epoch[016] Batch [3649]/[3760] Speed: 34.970002 samples/sec accuracy=56.520548 loss=1.822700 lr=0.010000 Epoch[016] Batch [3699]/[3760] Speed: 35.220001 samples/sec accuracy=56.532517 loss=1.823100 lr=0.010000 Epoch[016] Batch [3749]/[3760] Speed: 36.239869 samples/sec accuracy=56.510833 loss=1.824273 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.562500 acc-top5=79.750000 Batch [0099]/[0303]: acc-top1=54.859375 acc-top5=79.250000 Batch [0149]/[0303]: acc-top1=55.635417 acc-top5=79.604167 Batch [0199]/[0303]: acc-top1=55.468750 acc-top5=79.375000 Batch [0249]/[0303]: acc-top1=55.350000 acc-top5=79.168750 Batch [0299]/[0303]: acc-top1=55.135417 acc-top5=79.125000 [Epoch 016] training: accuracy=56.515542 loss=1.824286 [Epoch 016] speed: 35 samples/sec time cost: 7343.108438 [Epoch 016] validation: acc-top1=55.130982 acc-top5=79.109942 loss=2.156404 Epoch[017] Batch [0049]/[3759] Speed: 24.148999 samples/sec accuracy=58.281250 loss=1.764278 lr=0.010000 Epoch[017] Batch [0099]/[3759] Speed: 35.000133 samples/sec accuracy=58.000000 loss=1.732302 lr=0.010000 Epoch[017] Batch [0149]/[3759] Speed: 34.972771 samples/sec accuracy=58.187500 loss=1.734341 lr=0.010000 Epoch[017] Batch [0199]/[3759] Speed: 34.969092 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lr=0.010000 Epoch[017] Batch [2599]/[3759] Speed: 35.436734 samples/sec accuracy=57.262019 loss=1.787507 lr=0.010000 Epoch[017] Batch [2649]/[3759] Speed: 35.010576 samples/sec accuracy=57.275354 loss=1.786742 lr=0.010000 Epoch[017] Batch [2699]/[3759] Speed: 35.235978 samples/sec accuracy=57.301505 loss=1.785778 lr=0.010000 Epoch[017] Batch [2749]/[3759] Speed: 35.050948 samples/sec accuracy=57.280682 loss=1.787255 lr=0.010000 Epoch[017] Batch [2799]/[3759] Speed: 35.200997 samples/sec accuracy=57.257254 loss=1.788123 lr=0.010000 Epoch[017] Batch [2849]/[3759] Speed: 35.169161 samples/sec accuracy=57.241228 loss=1.788702 lr=0.010000 Epoch[017] Batch [2899]/[3759] Speed: 35.049341 samples/sec accuracy=57.254310 loss=1.788552 lr=0.010000 Epoch[017] Batch [2949]/[3759] Speed: 35.281282 samples/sec accuracy=57.243644 loss=1.789496 lr=0.010000 Epoch[017] Batch [2999]/[3759] Speed: 35.161767 samples/sec accuracy=57.246354 loss=1.789481 lr=0.010000 Epoch[017] Batch [3049]/[3759] Speed: 35.328376 samples/sec accuracy=57.242316 loss=1.789707 lr=0.010000 Epoch[017] Batch [3099]/[3759] Speed: 35.079779 samples/sec accuracy=57.215726 loss=1.790402 lr=0.010000 Epoch[017] Batch [3149]/[3759] Speed: 35.346860 samples/sec accuracy=57.226687 loss=1.790490 lr=0.010000 Epoch[017] Batch [3199]/[3759] Speed: 35.077889 samples/sec accuracy=57.214844 loss=1.791500 lr=0.010000 Epoch[017] Batch [3249]/[3759] Speed: 35.333124 samples/sec accuracy=57.175000 loss=1.793235 lr=0.010000 Epoch[017] Batch [3299]/[3759] Speed: 34.613490 samples/sec accuracy=57.159091 loss=1.793618 lr=0.010000 Epoch[017] Batch [3349]/[3759] Speed: 35.564624 samples/sec accuracy=57.148321 loss=1.793896 lr=0.010000 Epoch[017] Batch [3399]/[3759] Speed: 35.034705 samples/sec accuracy=57.146599 loss=1.793978 lr=0.010000 Epoch[017] Batch [3449]/[3759] Speed: 35.451217 samples/sec accuracy=57.123188 loss=1.795290 lr=0.010000 Epoch[017] Batch [3499]/[3759] Speed: 34.840952 samples/sec accuracy=57.099554 loss=1.796320 lr=0.010000 Epoch[017] Batch [3549]/[3759] Speed: 35.191361 samples/sec accuracy=57.102993 loss=1.796431 lr=0.010000 Epoch[017] Batch [3599]/[3759] Speed: 34.981968 samples/sec accuracy=57.130208 loss=1.795407 lr=0.010000 Epoch[017] Batch [3649]/[3759] Speed: 34.604279 samples/sec accuracy=57.102312 loss=1.796603 lr=0.010000 Epoch[017] Batch [3699]/[3759] Speed: 35.342101 samples/sec accuracy=57.081503 loss=1.797786 lr=0.010000 Epoch[017] Batch [3749]/[3759] Speed: 36.387959 samples/sec accuracy=57.077083 loss=1.798496 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.718750 acc-top5=80.375000 Batch [0099]/[0303]: acc-top1=55.812500 acc-top5=80.281250 Batch [0149]/[0303]: acc-top1=56.427083 acc-top5=80.291667 Batch [0199]/[0303]: acc-top1=56.281250 acc-top5=80.078125 Batch [0249]/[0303]: acc-top1=56.131250 acc-top5=79.818750 Batch [0299]/[0303]: acc-top1=56.078125 acc-top5=79.802083 [Epoch 017] training: accuracy=57.071778 loss=1.798540 [Epoch 017] speed: 34 samples/sec time cost: 7359.888093 [Epoch 017] validation: acc-top1=56.017946 acc-top5=79.764851 loss=2.094938 Epoch[018] Batch [0049]/[3760] Speed: 24.095846 samples/sec accuracy=58.312500 loss=1.737097 lr=0.010000 Epoch[018] Batch [0099]/[3760] Speed: 35.036356 samples/sec accuracy=58.812500 loss=1.731065 lr=0.010000 Epoch[018] Batch [0149]/[3760] Speed: 34.900422 samples/sec accuracy=58.750000 loss=1.739391 lr=0.010000 Epoch[018] Batch [0199]/[3760] Speed: 34.962476 samples/sec accuracy=58.851562 loss=1.732544 lr=0.010000 Epoch[018] Batch [0249]/[3760] Speed: 35.349640 samples/sec accuracy=58.968750 loss=1.720877 lr=0.010000 Epoch[018] Batch [0299]/[3760] Speed: 35.067018 samples/sec accuracy=58.614583 loss=1.735846 lr=0.010000 Epoch[018] Batch [0349]/[3760] Speed: 35.468425 samples/sec accuracy=58.535714 loss=1.741898 lr=0.010000 Epoch[018] Batch [0399]/[3760] Speed: 34.766934 samples/sec accuracy=58.609375 loss=1.736456 lr=0.010000 Epoch[018] Batch [0449]/[3760] Speed: 35.308075 samples/sec accuracy=58.593750 loss=1.735714 lr=0.010000 Epoch[018] Batch [0499]/[3760] Speed: 34.698005 samples/sec accuracy=58.606250 loss=1.735342 lr=0.010000 Epoch[018] Batch [0549]/[3760] Speed: 35.359429 samples/sec accuracy=58.599432 loss=1.737199 lr=0.010000 Epoch[018] Batch [0599]/[3760] Speed: 34.555729 samples/sec accuracy=58.518229 loss=1.740624 lr=0.010000 Epoch[018] Batch [0649]/[3760] Speed: 35.243874 samples/sec accuracy=58.509615 loss=1.742664 lr=0.010000 Epoch[018] Batch [0699]/[3760] Speed: 34.877529 samples/sec accuracy=58.372768 loss=1.745555 lr=0.010000 Epoch[018] Batch [0749]/[3760] Speed: 35.063826 samples/sec accuracy=58.239583 loss=1.750688 lr=0.010000 Epoch[018] Batch [0799]/[3760] Speed: 35.056592 samples/sec accuracy=58.232422 loss=1.749949 lr=0.010000 Epoch[018] Batch [0849]/[3760] Speed: 35.001119 samples/sec accuracy=58.279412 loss=1.748880 lr=0.010000 Epoch[018] Batch [0899]/[3760] Speed: 35.344139 samples/sec accuracy=58.272569 loss=1.749480 lr=0.010000 Epoch[018] 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accuracy=57.996652 loss=1.756961 lr=0.010000 Epoch[018] Batch [1449]/[3760] Speed: 35.426473 samples/sec accuracy=57.947198 loss=1.759972 lr=0.010000 Epoch[018] Batch [1499]/[3760] Speed: 35.218564 samples/sec accuracy=57.898958 loss=1.760595 lr=0.010000 Epoch[018] Batch [1549]/[3760] Speed: 35.234003 samples/sec accuracy=57.856855 loss=1.760547 lr=0.010000 Epoch[018] Batch [1599]/[3760] Speed: 35.103635 samples/sec accuracy=57.828125 loss=1.761095 lr=0.010000 Epoch[018] Batch [1649]/[3760] Speed: 35.322337 samples/sec accuracy=57.825758 loss=1.761200 lr=0.010000 Epoch[018] Batch [1699]/[3760] Speed: 35.011538 samples/sec accuracy=57.794118 loss=1.761944 lr=0.010000 Epoch[018] Batch [1749]/[3760] Speed: 35.342835 samples/sec accuracy=57.825000 loss=1.760916 lr=0.010000 Epoch[018] Batch [1799]/[3760] Speed: 34.719570 samples/sec accuracy=57.817708 loss=1.761466 lr=0.010000 Epoch[018] Batch [1849]/[3760] Speed: 35.224899 samples/sec accuracy=57.813345 loss=1.761090 lr=0.010000 Epoch[018] 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accuracy=57.588068 loss=1.774794 lr=0.010000 Epoch[018] Batch [3349]/[3760] Speed: 35.393302 samples/sec accuracy=57.552705 loss=1.775554 lr=0.010000 Epoch[018] Batch [3399]/[3760] Speed: 35.380452 samples/sec accuracy=57.532629 loss=1.776576 lr=0.010000 Epoch[018] Batch [3449]/[3760] Speed: 35.291122 samples/sec accuracy=57.515851 loss=1.777013 lr=0.010000 Epoch[018] Batch [3499]/[3760] Speed: 35.306124 samples/sec accuracy=57.487946 loss=1.778255 lr=0.010000 Epoch[018] Batch [3549]/[3760] Speed: 35.582358 samples/sec accuracy=57.495599 loss=1.778040 lr=0.010000 Epoch[018] Batch [3599]/[3760] Speed: 35.374045 samples/sec accuracy=57.496528 loss=1.778535 lr=0.010000 Epoch[018] Batch [3649]/[3760] Speed: 35.281875 samples/sec accuracy=57.500428 loss=1.778575 lr=0.010000 Epoch[018] Batch [3699]/[3760] Speed: 35.614824 samples/sec accuracy=57.511824 loss=1.778423 lr=0.010000 Epoch[018] Batch [3749]/[3760] Speed: 36.509485 samples/sec accuracy=57.505417 loss=1.778518 lr=0.010000 Batch [0049]/[0303]: acc-top1=56.468750 acc-top5=80.218750 Batch [0099]/[0303]: acc-top1=56.687500 acc-top5=80.031250 Batch [0149]/[0303]: acc-top1=57.020833 acc-top5=80.437500 Batch [0199]/[0303]: acc-top1=56.757813 acc-top5=80.289062 Batch [0249]/[0303]: acc-top1=56.468750 acc-top5=79.981250 Batch [0299]/[0303]: acc-top1=56.609375 acc-top5=79.979167 [Epoch 018] training: accuracy=57.510805 loss=1.778333 [Epoch 018] speed: 34 samples/sec time cost: 7356.541609 [Epoch 018] validation: acc-top1=56.574876 acc-top5=79.965965 loss=2.061742 Epoch[019] Batch [0049]/[3760] Speed: 24.490226 samples/sec accuracy=61.000000 loss=1.616011 lr=0.010000 Epoch[019] Batch [0099]/[3760] Speed: 35.128548 samples/sec accuracy=60.046875 loss=1.681340 lr=0.010000 Epoch[019] Batch [0149]/[3760] Speed: 35.146571 samples/sec accuracy=59.697917 loss=1.693723 lr=0.010000 Epoch[019] Batch [0199]/[3760] Speed: 35.099852 samples/sec accuracy=59.257812 loss=1.711800 lr=0.010000 Epoch[019] Batch [0249]/[3760] Speed: 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35.218399 samples/sec accuracy=57.872480 loss=1.761272 lr=0.010000 Epoch[019] Batch [3149]/[3760] Speed: 35.144576 samples/sec accuracy=57.877976 loss=1.761252 lr=0.010000 Epoch[019] Batch [3199]/[3760] Speed: 34.844690 samples/sec accuracy=57.871094 loss=1.761427 lr=0.010000 Epoch[019] Batch [3249]/[3760] Speed: 35.281932 samples/sec accuracy=57.848558 loss=1.762493 lr=0.010000 Epoch[019] Batch [3299]/[3760] Speed: 34.835764 samples/sec accuracy=57.840436 loss=1.762769 lr=0.010000 Epoch[019] Batch [3349]/[3760] Speed: 35.030315 samples/sec accuracy=57.803638 loss=1.764121 lr=0.010000 Epoch[019] Batch [3399]/[3760] Speed: 34.729449 samples/sec accuracy=57.819853 loss=1.763647 lr=0.010000 Epoch[019] Batch [3449]/[3760] Speed: 35.066088 samples/sec accuracy=57.818388 loss=1.763233 lr=0.010000 Epoch[019] Batch [3499]/[3760] Speed: 34.913718 samples/sec accuracy=57.835268 loss=1.762394 lr=0.010000 Epoch[019] Batch [3549]/[3760] Speed: 34.796004 samples/sec accuracy=57.834507 loss=1.762443 lr=0.010000 Epoch[019] Batch [3599]/[3760] Speed: 35.139431 samples/sec accuracy=57.824219 loss=1.762937 lr=0.010000 Epoch[019] Batch [3649]/[3760] Speed: 34.542916 samples/sec accuracy=57.804795 loss=1.763469 lr=0.010000 Epoch[019] Batch [3699]/[3760] Speed: 35.299497 samples/sec accuracy=57.788851 loss=1.764175 lr=0.010000 Epoch[019] Batch [3749]/[3760] Speed: 36.072995 samples/sec accuracy=57.797917 loss=1.763614 lr=0.010000 Batch [0049]/[0303]: acc-top1=55.875000 acc-top5=80.281250 Batch [0099]/[0303]: acc-top1=56.484375 acc-top5=80.187500 Batch [0149]/[0303]: acc-top1=57.010417 acc-top5=80.260417 Batch [0199]/[0303]: acc-top1=56.789062 acc-top5=80.156250 Batch [0249]/[0303]: acc-top1=56.650000 acc-top5=80.075000 Batch [0299]/[0303]: acc-top1=56.661458 acc-top5=79.984375 [Epoch 019] training: accuracy=57.794215 loss=1.763660 [Epoch 019] speed: 35 samples/sec time cost: 7343.900899 [Epoch 019] validation: acc-top1=56.647071 acc-top5=79.976279 loss=2.067913 Epoch[020] Batch 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accuracy=58.327474 loss=1.737457 lr=0.010000 Epoch[020] Batch [2449]/[3759] Speed: 35.435770 samples/sec accuracy=58.325893 loss=1.737669 lr=0.010000 Epoch[020] Batch [2499]/[3759] Speed: 34.990712 samples/sec accuracy=58.308125 loss=1.738682 lr=0.010000 Epoch[020] Batch [2549]/[3759] Speed: 35.463062 samples/sec accuracy=58.323529 loss=1.738358 lr=0.010000 Epoch[020] Batch [2599]/[3759] Speed: 35.221205 samples/sec accuracy=58.312500 loss=1.739491 lr=0.010000 Epoch[020] Batch [2649]/[3759] Speed: 35.062424 samples/sec accuracy=58.314269 loss=1.739270 lr=0.010000 Epoch[020] Batch [2699]/[3759] Speed: 35.219076 samples/sec accuracy=58.313657 loss=1.738717 lr=0.010000 Epoch[020] Batch [2749]/[3759] Speed: 34.806597 samples/sec accuracy=58.314773 loss=1.739344 lr=0.010000 Epoch[020] Batch [2799]/[3759] Speed: 35.524934 samples/sec accuracy=58.301897 loss=1.740083 lr=0.010000 Epoch[020] Batch [2849]/[3759] Speed: 34.756504 samples/sec accuracy=58.301535 loss=1.739656 lr=0.010000 Epoch[020] 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accuracy=58.249067 loss=1.743367 lr=0.010000 Epoch[020] Batch [3399]/[3759] Speed: 34.979995 samples/sec accuracy=58.250919 loss=1.743913 lr=0.010000 Epoch[020] Batch [3449]/[3759] Speed: 35.599674 samples/sec accuracy=58.248641 loss=1.744435 lr=0.010000 Epoch[020] Batch [3499]/[3759] Speed: 35.119437 samples/sec accuracy=58.234375 loss=1.745324 lr=0.010000 Epoch[020] Batch [3549]/[3759] Speed: 35.345576 samples/sec accuracy=58.239437 loss=1.745628 lr=0.010000 Epoch[020] Batch [3599]/[3759] Speed: 35.253136 samples/sec accuracy=58.228733 loss=1.745688 lr=0.010000 Epoch[020] Batch [3649]/[3759] Speed: 35.392306 samples/sec accuracy=58.225171 loss=1.746068 lr=0.010000 Epoch[020] Batch [3699]/[3759] Speed: 34.932639 samples/sec accuracy=58.210726 loss=1.746348 lr=0.010000 Epoch[020] Batch [3749]/[3759] Speed: 36.635702 samples/sec accuracy=58.213750 loss=1.746616 lr=0.010000 Batch [0049]/[0303]: acc-top1=56.562500 acc-top5=80.437500 Batch [0099]/[0303]: acc-top1=57.187500 acc-top5=80.500000 Batch [0149]/[0303]: acc-top1=57.885417 acc-top5=80.666667 Batch [0199]/[0303]: acc-top1=57.898438 acc-top5=80.773438 Batch [0249]/[0303]: acc-top1=57.750000 acc-top5=80.556250 Batch [0299]/[0303]: acc-top1=57.557292 acc-top5=80.557292 [Epoch 020] training: accuracy=58.213205 loss=1.746438 [Epoch 020] speed: 35 samples/sec time cost: 7346.550678 [Epoch 020] validation: acc-top1=57.534035 acc-top5=80.548680 loss=2.019325 Epoch[021] Batch [0049]/[3760] Speed: 24.429123 samples/sec accuracy=58.468750 loss=1.721667 lr=0.010000 Epoch[021] Batch [0099]/[3760] Speed: 35.057741 samples/sec accuracy=58.921875 loss=1.718535 lr=0.010000 Epoch[021] Batch [0149]/[3760] Speed: 34.877394 samples/sec accuracy=59.489583 loss=1.694931 lr=0.010000 Epoch[021] Batch [0199]/[3760] Speed: 34.672392 samples/sec accuracy=59.531250 loss=1.686017 lr=0.010000 Epoch[021] Batch [0249]/[3760] Speed: 35.121980 samples/sec accuracy=59.387500 loss=1.680872 lr=0.010000 Epoch[021] Batch [0299]/[3760] 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accuracy=58.727022 loss=1.717557 lr=0.010000 Epoch[021] Batch [1749]/[3760] Speed: 35.144225 samples/sec accuracy=58.715179 loss=1.717321 lr=0.010000 Epoch[021] Batch [1799]/[3760] Speed: 35.357343 samples/sec accuracy=58.707465 loss=1.718107 lr=0.010000 Epoch[021] Batch [1849]/[3760] Speed: 35.076400 samples/sec accuracy=58.698480 loss=1.719175 lr=0.010000 Epoch[021] Batch [1899]/[3760] Speed: 35.270886 samples/sec accuracy=58.699836 loss=1.719450 lr=0.010000 Epoch[021] Batch [1949]/[3760] Speed: 35.024244 samples/sec accuracy=58.713942 loss=1.719793 lr=0.010000 Epoch[021] Batch [1999]/[3760] Speed: 35.237978 samples/sec accuracy=58.739063 loss=1.719089 lr=0.010000 Epoch[021] Batch [2049]/[3760] Speed: 34.642885 samples/sec accuracy=58.705030 loss=1.719644 lr=0.010000 Epoch[021] Batch [2099]/[3760] Speed: 35.341812 samples/sec accuracy=58.707589 loss=1.719355 lr=0.010000 Epoch[021] Batch [2149]/[3760] Speed: 34.700441 samples/sec accuracy=58.644622 loss=1.722250 lr=0.010000 Epoch[021] 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accuracy=58.573703 loss=1.724544 lr=0.010000 Epoch[021] Batch [2699]/[3760] Speed: 34.808994 samples/sec accuracy=58.545718 loss=1.725868 lr=0.010000 Epoch[021] Batch [2749]/[3760] Speed: 35.240004 samples/sec accuracy=58.527841 loss=1.727348 lr=0.010000 Epoch[021] Batch [2799]/[3760] Speed: 35.077702 samples/sec accuracy=58.560268 loss=1.727128 lr=0.010000 Epoch[021] Batch [2849]/[3760] Speed: 35.129150 samples/sec accuracy=58.541118 loss=1.727707 lr=0.010000 Epoch[021] Batch [2899]/[3760] Speed: 35.427674 samples/sec accuracy=58.530711 loss=1.727112 lr=0.010000 Epoch[021] Batch [2949]/[3760] Speed: 35.040770 samples/sec accuracy=58.519068 loss=1.727709 lr=0.010000 Epoch[021] Batch [2999]/[3760] Speed: 35.345219 samples/sec accuracy=58.493750 loss=1.728696 lr=0.010000 Epoch[021] Batch [3049]/[3760] Speed: 35.213703 samples/sec accuracy=58.480020 loss=1.729065 lr=0.010000 Epoch[021] Batch [3099]/[3760] Speed: 35.402895 samples/sec accuracy=58.488407 loss=1.729132 lr=0.010000 Epoch[021] Batch [3149]/[3760] Speed: 35.367114 samples/sec accuracy=58.503472 loss=1.729191 lr=0.010000 Epoch[021] Batch [3199]/[3760] Speed: 35.236069 samples/sec accuracy=58.458008 loss=1.730948 lr=0.010000 Epoch[021] Batch [3249]/[3760] Speed: 35.183195 samples/sec accuracy=58.467308 loss=1.731018 lr=0.010000 Epoch[021] Batch [3299]/[3760] Speed: 35.198017 samples/sec accuracy=58.464015 loss=1.731067 lr=0.010000 Epoch[021] Batch [3349]/[3760] Speed: 35.320095 samples/sec accuracy=58.471082 loss=1.730893 lr=0.010000 Epoch[021] Batch [3399]/[3760] Speed: 34.976213 samples/sec accuracy=58.484375 loss=1.730407 lr=0.010000 Epoch[021] Batch [3449]/[3760] Speed: 35.264115 samples/sec accuracy=58.484149 loss=1.730480 lr=0.010000 Epoch[021] Batch [3499]/[3760] Speed: 34.741604 samples/sec accuracy=58.486161 loss=1.730840 lr=0.010000 Epoch[021] Batch [3549]/[3760] Speed: 35.484019 samples/sec accuracy=58.487676 loss=1.730103 lr=0.010000 Epoch[021] Batch [3599]/[3760] Speed: 34.819128 samples/sec accuracy=58.467448 loss=1.730628 lr=0.010000 Epoch[021] Batch [3649]/[3760] Speed: 35.326934 samples/sec accuracy=58.450342 loss=1.731247 lr=0.010000 Epoch[021] Batch [3699]/[3760] Speed: 34.985687 samples/sec accuracy=58.461149 loss=1.731107 lr=0.010000 Epoch[021] Batch [3749]/[3760] Speed: 36.551387 samples/sec accuracy=58.452500 loss=1.731425 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.125000 acc-top5=80.343750 Batch [0099]/[0303]: acc-top1=56.765625 acc-top5=80.468750 Batch [0149]/[0303]: acc-top1=57.437500 acc-top5=80.833333 Batch [0199]/[0303]: acc-top1=57.273438 acc-top5=80.718750 Batch [0249]/[0303]: acc-top1=57.125000 acc-top5=80.443750 Batch [0299]/[0303]: acc-top1=57.041667 acc-top5=80.317708 [Epoch 021] training: accuracy=58.455785 loss=1.731442 [Epoch 021] speed: 34 samples/sec time cost: 7380.408786 [Epoch 021] validation: acc-top1=57.018358 acc-top5=80.321782 loss=2.104842 Epoch[022] Batch [0049]/[3760] Speed: 24.848701 samples/sec accuracy=58.687500 loss=1.664998 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acc-top1=58.093750 acc-top5=80.734375 Batch [0249]/[0303]: acc-top1=57.800000 acc-top5=80.625000 Batch [0299]/[0303]: acc-top1=57.609375 acc-top5=80.630208 [Epoch 022] training: accuracy=58.916223 loss=1.711212 [Epoch 022] speed: 35 samples/sec time cost: 7351.581604 [Epoch 022] validation: acc-top1=57.606229 acc-top5=80.620875 loss=2.029137 Epoch[023] Batch [0049]/[3759] Speed: 24.140581 samples/sec accuracy=61.718750 loss=1.612208 lr=0.010000 Epoch[023] Batch [0099]/[3759] Speed: 35.142339 samples/sec accuracy=60.750000 loss=1.631152 lr=0.010000 Epoch[023] Batch [0149]/[3759] Speed: 34.959462 samples/sec accuracy=60.281250 loss=1.658207 lr=0.010000 Epoch[023] Batch [0199]/[3759] Speed: 35.023702 samples/sec accuracy=60.218750 loss=1.663236 lr=0.010000 Epoch[023] Batch [0249]/[3759] Speed: 35.333163 samples/sec accuracy=60.543750 loss=1.649459 lr=0.010000 Epoch[023] Batch [0299]/[3759] Speed: 34.804259 samples/sec accuracy=60.453125 loss=1.651093 lr=0.010000 Epoch[023] Batch 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accuracy=59.393519 loss=1.696435 lr=0.010000 Epoch[023] Batch [2749]/[3759] Speed: 35.045457 samples/sec accuracy=59.398295 loss=1.696930 lr=0.010000 Epoch[023] Batch [2799]/[3759] Speed: 34.774403 samples/sec accuracy=59.373884 loss=1.697504 lr=0.010000 Epoch[023] Batch [2849]/[3759] Speed: 35.222880 samples/sec accuracy=59.341009 loss=1.698762 lr=0.010000 Epoch[023] Batch [2899]/[3759] Speed: 34.659950 samples/sec accuracy=59.321121 loss=1.699137 lr=0.010000 Epoch[023] Batch [2949]/[3759] Speed: 35.352369 samples/sec accuracy=59.327331 loss=1.698715 lr=0.010000 Epoch[023] Batch [2999]/[3759] Speed: 34.822901 samples/sec accuracy=59.305729 loss=1.699073 lr=0.010000 Epoch[023] Batch [3049]/[3759] Speed: 35.178722 samples/sec accuracy=59.303791 loss=1.698906 lr=0.010000 Epoch[023] Batch [3099]/[3759] Speed: 35.001522 samples/sec accuracy=59.286794 loss=1.699666 lr=0.010000 Epoch[023] Batch [3149]/[3759] Speed: 35.109833 samples/sec accuracy=59.263393 loss=1.700767 lr=0.010000 Epoch[023] 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accuracy=59.227740 loss=1.701926 lr=0.010000 Epoch[023] Batch [3699]/[3759] Speed: 35.361319 samples/sec accuracy=59.206081 loss=1.703085 lr=0.010000 Epoch[023] Batch [3749]/[3759] Speed: 36.497967 samples/sec accuracy=59.177917 loss=1.704831 lr=0.010000 Batch [0049]/[0303]: acc-top1=56.031250 acc-top5=79.250000 Batch [0099]/[0303]: acc-top1=56.640625 acc-top5=79.703125 Batch [0149]/[0303]: acc-top1=56.895833 acc-top5=80.072917 Batch [0199]/[0303]: acc-top1=56.765625 acc-top5=80.179688 Batch [0249]/[0303]: acc-top1=56.737500 acc-top5=80.012500 Batch [0299]/[0303]: acc-top1=56.609375 acc-top5=79.932292 [Epoch 023] training: accuracy=59.170906 loss=1.705050 [Epoch 023] speed: 34 samples/sec time cost: 7353.273828 [Epoch 023] validation: acc-top1=56.580033 acc-top5=79.914398 loss=2.035718 Epoch[024] Batch [0049]/[3760] Speed: 24.204983 samples/sec accuracy=60.968750 loss=1.628828 lr=0.010000 Epoch[024] Batch [0099]/[3760] Speed: 35.110885 samples/sec accuracy=60.531250 loss=1.656289 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35.164931 samples/sec accuracy=59.380888 loss=1.696525 lr=0.010000 Epoch[024] Batch [3499]/[3760] Speed: 35.348655 samples/sec accuracy=59.388393 loss=1.696599 lr=0.010000 Epoch[024] Batch [3549]/[3760] Speed: 35.194531 samples/sec accuracy=59.393046 loss=1.696435 lr=0.010000 Epoch[024] Batch [3599]/[3760] Speed: 35.337455 samples/sec accuracy=59.407552 loss=1.695862 lr=0.010000 Epoch[024] Batch [3649]/[3760] Speed: 35.089087 samples/sec accuracy=59.412243 loss=1.695473 lr=0.010000 Epoch[024] Batch [3699]/[3760] Speed: 35.443155 samples/sec accuracy=59.415963 loss=1.695906 lr=0.010000 Epoch[024] Batch [3749]/[3760] Speed: 36.273840 samples/sec accuracy=59.410417 loss=1.696194 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.593750 acc-top5=80.781250 Batch [0099]/[0303]: acc-top1=57.953125 acc-top5=80.703125 Batch [0149]/[0303]: acc-top1=58.250000 acc-top5=81.093750 Batch [0199]/[0303]: acc-top1=57.914062 acc-top5=80.921875 Batch [0249]/[0303]: acc-top1=57.693750 acc-top5=80.681250 Batch [0299]/[0303]: acc-top1=57.421875 acc-top5=80.645833 [Epoch 024] training: accuracy=59.416556 loss=1.696063 [Epoch 024] speed: 34 samples/sec time cost: 7364.165156 [Epoch 024] validation: acc-top1=57.363861 acc-top5=80.646658 loss=2.081856 Epoch[025] Batch [0049]/[3760] Speed: 24.123616 samples/sec accuracy=60.218750 loss=1.673349 lr=0.010000 Epoch[025] Batch [0099]/[3760] Speed: 35.031989 samples/sec accuracy=60.343750 loss=1.635399 lr=0.010000 Epoch[025] Batch [0149]/[3760] Speed: 35.091047 samples/sec accuracy=60.864583 loss=1.615462 lr=0.010000 Epoch[025] Batch [0199]/[3760] Speed: 35.233272 samples/sec accuracy=60.726562 loss=1.621604 lr=0.010000 Epoch[025] Batch [0249]/[3760] Speed: 35.291954 samples/sec accuracy=60.750000 loss=1.622849 lr=0.010000 Epoch[025] Batch [0299]/[3760] Speed: 35.207776 samples/sec accuracy=60.755208 loss=1.630091 lr=0.010000 Epoch[025] Batch [0349]/[3760] Speed: 35.455362 samples/sec accuracy=60.558036 loss=1.633631 lr=0.010000 Epoch[025] Batch 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accuracy=60.303309 loss=1.648479 lr=0.010000 Epoch[025] Batch [0899]/[3760] Speed: 35.260044 samples/sec accuracy=60.319444 loss=1.649456 lr=0.010000 Epoch[025] Batch [0949]/[3760] Speed: 35.513654 samples/sec accuracy=60.226974 loss=1.653816 lr=0.010000 Epoch[025] Batch [0999]/[3760] Speed: 34.980124 samples/sec accuracy=60.181250 loss=1.656185 lr=0.010000 Epoch[025] Batch [1049]/[3760] Speed: 35.422079 samples/sec accuracy=60.181548 loss=1.656683 lr=0.010000 Epoch[025] Batch [1099]/[3760] Speed: 34.817849 samples/sec accuracy=60.187500 loss=1.653910 lr=0.010000 Epoch[025] Batch [1149]/[3760] Speed: 35.504031 samples/sec accuracy=60.167120 loss=1.656519 lr=0.010000 Epoch[025] Batch [1199]/[3760] Speed: 34.690158 samples/sec accuracy=60.165365 loss=1.656427 lr=0.010000 Epoch[025] Batch [1249]/[3760] Speed: 35.427853 samples/sec accuracy=60.156250 loss=1.658277 lr=0.010000 Epoch[025] Batch [1299]/[3760] Speed: 34.545283 samples/sec accuracy=60.175481 loss=1.658262 lr=0.010000 Epoch[025] 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accuracy=59.910590 loss=1.668583 lr=0.010000 Epoch[025] Batch [1849]/[3760] Speed: 35.311726 samples/sec accuracy=59.917230 loss=1.668607 lr=0.010000 Epoch[025] Batch [1899]/[3760] Speed: 35.515351 samples/sec accuracy=59.925164 loss=1.668405 lr=0.010000 Epoch[025] Batch [1949]/[3760] Speed: 35.252988 samples/sec accuracy=59.921474 loss=1.668278 lr=0.010000 Epoch[025] Batch [1999]/[3760] Speed: 35.203652 samples/sec accuracy=59.917969 loss=1.668176 lr=0.010000 Epoch[025] Batch [2049]/[3760] Speed: 35.120176 samples/sec accuracy=59.904726 loss=1.669463 lr=0.010000 Epoch[025] Batch [2099]/[3760] Speed: 35.131897 samples/sec accuracy=59.872024 loss=1.669692 lr=0.010000 Epoch[025] Batch [2149]/[3760] Speed: 35.100977 samples/sec accuracy=59.883721 loss=1.669639 lr=0.010000 Epoch[025] Batch [2199]/[3760] Speed: 34.917019 samples/sec accuracy=59.865767 loss=1.670072 lr=0.010000 Epoch[025] Batch [2249]/[3760] Speed: 35.235537 samples/sec accuracy=59.849306 loss=1.670830 lr=0.010000 Epoch[025] 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accuracy=59.795455 loss=1.674886 lr=0.010000 Epoch[025] Batch [2799]/[3760] Speed: 35.331247 samples/sec accuracy=59.784040 loss=1.675930 lr=0.010000 Epoch[025] Batch [2849]/[3760] Speed: 34.783587 samples/sec accuracy=59.808114 loss=1.675388 lr=0.010000 Epoch[025] Batch [2899]/[3760] Speed: 35.390794 samples/sec accuracy=59.775862 loss=1.676178 lr=0.010000 Epoch[025] Batch [2949]/[3760] Speed: 34.802015 samples/sec accuracy=59.765360 loss=1.676823 lr=0.010000 Epoch[025] Batch [2999]/[3760] Speed: 35.277892 samples/sec accuracy=59.777083 loss=1.676249 lr=0.010000 Epoch[025] Batch [3049]/[3760] Speed: 34.709168 samples/sec accuracy=59.786885 loss=1.676031 lr=0.010000 Epoch[025] Batch [3099]/[3760] Speed: 35.179888 samples/sec accuracy=59.758569 loss=1.676545 lr=0.010000 Epoch[025] Batch [3149]/[3760] Speed: 35.000948 samples/sec accuracy=59.757440 loss=1.677249 lr=0.010000 Epoch[025] Batch [3199]/[3760] Speed: 35.062190 samples/sec accuracy=59.760742 loss=1.676536 lr=0.010000 Epoch[025] Batch [3249]/[3760] Speed: 35.166698 samples/sec accuracy=59.752404 loss=1.677187 lr=0.010000 Epoch[025] Batch [3299]/[3760] Speed: 35.176768 samples/sec accuracy=59.743371 loss=1.677340 lr=0.010000 Epoch[025] Batch [3349]/[3760] Speed: 35.296271 samples/sec accuracy=59.754664 loss=1.677897 lr=0.010000 Epoch[025] Batch [3399]/[3760] Speed: 35.118576 samples/sec accuracy=59.763787 loss=1.677123 lr=0.010000 Epoch[025] Batch [3449]/[3760] Speed: 35.387909 samples/sec accuracy=59.772645 loss=1.676717 lr=0.010000 Epoch[025] Batch [3499]/[3760] Speed: 35.005640 samples/sec accuracy=59.760714 loss=1.676838 lr=0.010000 Epoch[025] Batch [3549]/[3760] Speed: 35.404254 samples/sec accuracy=59.757482 loss=1.676908 lr=0.010000 Epoch[025] Batch [3599]/[3760] Speed: 34.841443 samples/sec accuracy=59.749566 loss=1.677146 lr=0.010000 Epoch[025] Batch [3649]/[3760] Speed: 35.529397 samples/sec accuracy=59.735445 loss=1.677627 lr=0.010000 Epoch[025] Batch [3699]/[3760] Speed: 35.156497 samples/sec accuracy=59.708193 loss=1.678859 lr=0.010000 Epoch[025] Batch [3749]/[3760] Speed: 36.608539 samples/sec accuracy=59.722083 loss=1.678534 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.812500 acc-top5=80.812500 Batch [0099]/[0303]: acc-top1=57.750000 acc-top5=80.343750 Batch [0149]/[0303]: acc-top1=58.010417 acc-top5=80.760417 Batch [0199]/[0303]: acc-top1=57.851562 acc-top5=80.898438 Batch [0249]/[0303]: acc-top1=57.562500 acc-top5=80.475000 Batch [0299]/[0303]: acc-top1=57.635417 acc-top5=80.385417 [Epoch 025] training: accuracy=59.724069 loss=1.678356 [Epoch 025] speed: 34 samples/sec time cost: 7359.314810 [Epoch 025] validation: acc-top1=57.616543 acc-top5=80.373350 loss=2.014491 Epoch[026] Batch [0049]/[3759] Speed: 24.924136 samples/sec accuracy=60.218750 loss=1.649137 lr=0.010000 Epoch[026] Batch [0099]/[3759] Speed: 34.965086 samples/sec accuracy=60.218750 loss=1.653061 lr=0.010000 Epoch[026] Batch [0149]/[3759] Speed: 34.691589 samples/sec accuracy=60.395833 loss=1.641636 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35.288991 samples/sec accuracy=60.004911 loss=1.661860 lr=0.010000 Epoch[026] Batch [3549]/[3759] Speed: 35.337651 samples/sec accuracy=59.991197 loss=1.662576 lr=0.010000 Epoch[026] Batch [3599]/[3759] Speed: 35.385504 samples/sec accuracy=59.993056 loss=1.663021 lr=0.010000 Epoch[026] Batch [3649]/[3759] Speed: 35.277246 samples/sec accuracy=59.982021 loss=1.663469 lr=0.010000 Epoch[026] Batch [3699]/[3759] Speed: 35.146545 samples/sec accuracy=59.965794 loss=1.663745 lr=0.010000 Epoch[026] Batch [3749]/[3759] Speed: 36.621733 samples/sec accuracy=59.957083 loss=1.664459 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.718750 acc-top5=81.250000 Batch [0099]/[0303]: acc-top1=57.890625 acc-top5=80.906250 Batch [0149]/[0303]: acc-top1=58.541667 acc-top5=81.239583 Batch [0199]/[0303]: acc-top1=58.445312 acc-top5=81.421875 Batch [0249]/[0303]: acc-top1=58.406250 acc-top5=81.218750 Batch [0299]/[0303]: acc-top1=58.479167 acc-top5=81.125000 [Epoch 026] training: accuracy=59.961093 loss=1.664545 [Epoch 026] speed: 35 samples/sec time cost: 7335.686762 [Epoch 026] validation: acc-top1=58.467409 acc-top5=81.136551 loss=1.962915 Epoch[027] Batch [0049]/[3760] Speed: 24.380987 samples/sec accuracy=61.468750 loss=1.584449 lr=0.010000 Epoch[027] Batch [0099]/[3760] Speed: 35.226366 samples/sec accuracy=61.343750 loss=1.595555 lr=0.010000 Epoch[027] Batch [0149]/[3760] Speed: 35.074803 samples/sec accuracy=61.635417 loss=1.588151 lr=0.010000 Epoch[027] Batch [0199]/[3760] Speed: 35.085642 samples/sec accuracy=61.437500 loss=1.593588 lr=0.010000 Epoch[027] Batch [0249]/[3760] Speed: 35.181790 samples/sec accuracy=61.312500 loss=1.600142 lr=0.010000 Epoch[027] Batch [0299]/[3760] Speed: 34.928848 samples/sec accuracy=61.260417 loss=1.598144 lr=0.010000 Epoch[027] Batch [0349]/[3760] Speed: 35.351654 samples/sec accuracy=61.062500 loss=1.610542 lr=0.010000 Epoch[027] Batch [0399]/[3760] Speed: 34.729763 samples/sec accuracy=61.003906 loss=1.616355 lr=0.010000 Epoch[027] Batch 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accuracy=60.741319 loss=1.628471 lr=0.010000 Epoch[027] Batch [0949]/[3760] Speed: 34.792545 samples/sec accuracy=60.761513 loss=1.628308 lr=0.010000 Epoch[027] Batch [0999]/[3760] Speed: 35.426784 samples/sec accuracy=60.682813 loss=1.629714 lr=0.010000 Epoch[027] Batch [1049]/[3760] Speed: 34.671225 samples/sec accuracy=60.732143 loss=1.627834 lr=0.010000 Epoch[027] Batch [1099]/[3760] Speed: 35.369216 samples/sec accuracy=60.686080 loss=1.628399 lr=0.010000 Epoch[027] Batch [1149]/[3760] Speed: 35.032890 samples/sec accuracy=60.677989 loss=1.629103 lr=0.010000 Epoch[027] Batch [1199]/[3760] Speed: 35.381898 samples/sec accuracy=60.688802 loss=1.630719 lr=0.010000 Epoch[027] Batch [1249]/[3760] Speed: 34.913057 samples/sec accuracy=60.713750 loss=1.630817 lr=0.010000 Epoch[027] Batch [1299]/[3760] Speed: 35.333861 samples/sec accuracy=60.710337 loss=1.629860 lr=0.010000 Epoch[027] Batch [1349]/[3760] Speed: 34.878020 samples/sec accuracy=60.728009 loss=1.629324 lr=0.010000 Epoch[027] 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accuracy=60.634291 loss=1.639460 lr=0.010000 Epoch[027] Batch [1899]/[3760] Speed: 35.362947 samples/sec accuracy=60.613487 loss=1.640360 lr=0.010000 Epoch[027] Batch [1949]/[3760] Speed: 35.191596 samples/sec accuracy=60.563301 loss=1.642879 lr=0.010000 Epoch[027] Batch [1999]/[3760] Speed: 35.434072 samples/sec accuracy=60.584375 loss=1.642276 lr=0.010000 Epoch[027] Batch [2049]/[3760] Speed: 35.039644 samples/sec accuracy=60.576982 loss=1.641930 lr=0.010000 Epoch[027] Batch [2099]/[3760] Speed: 35.384095 samples/sec accuracy=60.548363 loss=1.644030 lr=0.010000 Epoch[027] Batch [2149]/[3760] Speed: 35.492211 samples/sec accuracy=60.565407 loss=1.643510 lr=0.010000 Epoch[027] Batch [2199]/[3760] Speed: 35.447421 samples/sec accuracy=60.538352 loss=1.645117 lr=0.010000 Epoch[027] Batch [2249]/[3760] Speed: 35.423364 samples/sec accuracy=60.554167 loss=1.644349 lr=0.010000 Epoch[027] Batch [2299]/[3760] Speed: 35.466989 samples/sec accuracy=60.510190 loss=1.645499 lr=0.010000 Epoch[027] 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accuracy=60.390625 loss=1.649440 lr=0.010000 Epoch[027] Batch [2849]/[3760] Speed: 35.467736 samples/sec accuracy=60.361294 loss=1.650335 lr=0.010000 Epoch[027] Batch [2899]/[3760] Speed: 35.326537 samples/sec accuracy=60.368534 loss=1.649671 lr=0.010000 Epoch[027] Batch [2949]/[3760] Speed: 35.491164 samples/sec accuracy=60.360699 loss=1.650082 lr=0.010000 Epoch[027] Batch [2999]/[3760] Speed: 35.420436 samples/sec accuracy=60.344792 loss=1.651028 lr=0.010000 Epoch[027] Batch [3049]/[3760] Speed: 35.381233 samples/sec accuracy=60.340676 loss=1.651344 lr=0.010000 Epoch[027] Batch [3099]/[3760] Speed: 35.485425 samples/sec accuracy=60.327621 loss=1.651653 lr=0.010000 Epoch[027] Batch [3149]/[3760] Speed: 35.401404 samples/sec accuracy=60.319940 loss=1.652241 lr=0.010000 Epoch[027] Batch [3199]/[3760] Speed: 35.301000 samples/sec accuracy=60.319336 loss=1.651943 lr=0.010000 Epoch[027] Batch [3249]/[3760] Speed: 35.421676 samples/sec accuracy=60.294712 loss=1.653553 lr=0.010000 Epoch[027] Batch [3299]/[3760] Speed: 35.319069 samples/sec accuracy=60.271307 loss=1.654100 lr=0.010000 Epoch[027] Batch [3349]/[3760] Speed: 35.395058 samples/sec accuracy=60.278918 loss=1.653853 lr=0.010000 Epoch[027] Batch [3399]/[3760] Speed: 35.454875 samples/sec accuracy=60.281250 loss=1.653830 lr=0.010000 Epoch[027] Batch [3449]/[3760] Speed: 35.389316 samples/sec accuracy=60.269022 loss=1.654201 lr=0.010000 Epoch[027] Batch [3499]/[3760] Speed: 35.231188 samples/sec accuracy=60.250000 loss=1.655237 lr=0.010000 Epoch[027] Batch [3549]/[3760] Speed: 35.394774 samples/sec accuracy=60.216109 loss=1.656687 lr=0.010000 Epoch[027] Batch [3599]/[3760] Speed: 35.275367 samples/sec accuracy=60.208333 loss=1.656867 lr=0.010000 Epoch[027] Batch [3649]/[3760] Speed: 35.236909 samples/sec accuracy=60.198630 loss=1.657338 lr=0.010000 Epoch[027] Batch [3699]/[3760] Speed: 35.264615 samples/sec accuracy=60.199747 loss=1.656868 lr=0.010000 Epoch[027] Batch [3749]/[3760] Speed: 36.451056 samples/sec accuracy=60.195000 loss=1.657309 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.750000 acc-top5=81.125000 Batch [0099]/[0303]: acc-top1=57.703125 acc-top5=80.890625 Batch [0149]/[0303]: acc-top1=58.208333 acc-top5=81.187500 Batch [0199]/[0303]: acc-top1=57.882812 acc-top5=81.281250 Batch [0249]/[0303]: acc-top1=57.962500 acc-top5=81.100000 Batch [0299]/[0303]: acc-top1=57.880208 acc-top5=80.973958 [Epoch 027] training: accuracy=60.185755 loss=1.657602 [Epoch 027] speed: 35 samples/sec time cost: 7341.390737 [Epoch 027] validation: acc-top1=57.889851 acc-top5=80.981848 loss=1.991599 Epoch[028] Batch [0049]/[3760] Speed: 25.172660 samples/sec accuracy=61.062500 loss=1.638288 lr=0.010000 Epoch[028] Batch [0099]/[3760] Speed: 35.203823 samples/sec accuracy=61.468750 loss=1.590495 lr=0.010000 Epoch[028] Batch [0149]/[3760] Speed: 35.012370 samples/sec accuracy=61.395833 loss=1.594062 lr=0.010000 Epoch[028] Batch [0199]/[3760] Speed: 35.142770 samples/sec accuracy=61.843750 loss=1.583331 lr=0.010000 Epoch[028] Batch [0249]/[3760] Speed: 35.116086 samples/sec accuracy=61.912500 loss=1.580880 lr=0.010000 Epoch[028] Batch [0299]/[3760] Speed: 34.822239 samples/sec accuracy=61.593750 loss=1.599395 lr=0.010000 Epoch[028] Batch [0349]/[3760] Speed: 35.069503 samples/sec accuracy=61.562500 loss=1.606726 lr=0.010000 Epoch[028] Batch [0399]/[3760] Speed: 34.492033 samples/sec accuracy=61.605469 loss=1.610782 lr=0.010000 Epoch[028] Batch [0449]/[3760] Speed: 35.345528 samples/sec accuracy=61.458333 loss=1.615568 lr=0.010000 Epoch[028] Batch [0499]/[3760] Speed: 34.698403 samples/sec accuracy=61.531250 loss=1.613769 lr=0.010000 Epoch[028] Batch [0549]/[3760] Speed: 35.495543 samples/sec accuracy=61.346591 loss=1.620387 lr=0.010000 Epoch[028] Batch [0599]/[3760] Speed: 35.019984 samples/sec accuracy=61.343750 loss=1.622531 lr=0.010000 Epoch[028] Batch [0649]/[3760] Speed: 35.226309 samples/sec accuracy=61.161058 loss=1.626579 lr=0.010000 Epoch[028] Batch [0699]/[3760] Speed: 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acc-top5=81.229373 loss=2.027786 Epoch[029] Batch [0049]/[3759] Speed: 24.802554 samples/sec accuracy=60.812500 loss=1.621960 lr=0.010000 Epoch[029] Batch [0099]/[3759] Speed: 35.316344 samples/sec accuracy=61.093750 loss=1.590447 lr=0.010000 Epoch[029] Batch [0149]/[3759] Speed: 35.186540 samples/sec accuracy=61.708333 loss=1.574124 lr=0.010000 Epoch[029] Batch [0199]/[3759] Speed: 35.100410 samples/sec accuracy=61.390625 loss=1.587666 lr=0.010000 Epoch[029] Batch [0249]/[3759] Speed: 35.413625 samples/sec accuracy=61.418750 loss=1.582216 lr=0.010000 Epoch[029] Batch [0299]/[3759] Speed: 35.239958 samples/sec accuracy=61.708333 loss=1.578419 lr=0.010000 Epoch[029] Batch [0349]/[3759] Speed: 35.435478 samples/sec accuracy=61.683036 loss=1.581030 lr=0.010000 Epoch[029] Batch [0399]/[3759] Speed: 35.122984 samples/sec accuracy=61.582031 loss=1.587488 lr=0.010000 Epoch[029] Batch [0449]/[3759] Speed: 35.399777 samples/sec accuracy=61.722222 loss=1.583826 lr=0.010000 Epoch[029] Batch 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accuracy=60.865954 loss=1.623031 lr=0.010000 Epoch[029] Batch [1949]/[3759] Speed: 35.100739 samples/sec accuracy=60.875801 loss=1.621697 lr=0.010000 Epoch[029] Batch [1999]/[3759] Speed: 35.603954 samples/sec accuracy=60.885156 loss=1.621413 lr=0.010000 Epoch[029] Batch [2049]/[3759] Speed: 35.164007 samples/sec accuracy=60.845274 loss=1.622479 lr=0.010000 Epoch[029] Batch [2099]/[3759] Speed: 35.638695 samples/sec accuracy=60.860863 loss=1.622719 lr=0.010000 Epoch[029] Batch [2149]/[3759] Speed: 35.298598 samples/sec accuracy=60.825581 loss=1.624620 lr=0.010000 Epoch[029] Batch [2199]/[3759] Speed: 35.545980 samples/sec accuracy=60.856534 loss=1.624488 lr=0.010000 Epoch[029] Batch [2249]/[3759] Speed: 35.484296 samples/sec accuracy=60.807639 loss=1.626508 lr=0.010000 Epoch[029] Batch [2299]/[3759] Speed: 35.443704 samples/sec accuracy=60.777853 loss=1.626686 lr=0.010000 Epoch[029] Batch [2349]/[3759] Speed: 35.173675 samples/sec accuracy=60.763298 loss=1.627198 lr=0.010000 Epoch[029] 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accuracy=60.720395 loss=1.628967 lr=0.010000 Epoch[029] Batch [2899]/[3759] Speed: 34.675904 samples/sec accuracy=60.699353 loss=1.629839 lr=0.010000 Epoch[029] Batch [2949]/[3759] Speed: 35.431339 samples/sec accuracy=60.670021 loss=1.630516 lr=0.010000 Epoch[029] Batch [2999]/[3759] Speed: 35.138860 samples/sec accuracy=60.656250 loss=1.630943 lr=0.010000 Epoch[029] Batch [3049]/[3759] Speed: 35.446869 samples/sec accuracy=60.634734 loss=1.630847 lr=0.010000 Epoch[029] Batch [3099]/[3759] Speed: 35.259459 samples/sec accuracy=60.625504 loss=1.631366 lr=0.010000 Epoch[029] Batch [3149]/[3759] Speed: 35.222396 samples/sec accuracy=60.626488 loss=1.632008 lr=0.010000 Epoch[029] Batch [3199]/[3759] Speed: 35.297470 samples/sec accuracy=60.609863 loss=1.633076 lr=0.010000 Epoch[029] Batch [3249]/[3759] Speed: 35.116159 samples/sec accuracy=60.617788 loss=1.633335 lr=0.010000 Epoch[029] Batch [3299]/[3759] Speed: 35.362113 samples/sec accuracy=60.606061 loss=1.633919 lr=0.010000 Epoch[029] Batch [3349]/[3759] Speed: 35.104775 samples/sec accuracy=60.604944 loss=1.634363 lr=0.010000 Epoch[029] Batch [3399]/[3759] Speed: 35.371636 samples/sec accuracy=60.589614 loss=1.634415 lr=0.010000 Epoch[029] Batch [3449]/[3759] Speed: 35.054882 samples/sec accuracy=60.575181 loss=1.635134 lr=0.010000 Epoch[029] Batch [3499]/[3759] Speed: 35.516759 samples/sec accuracy=60.550893 loss=1.636226 lr=0.010000 Epoch[029] Batch [3549]/[3759] Speed: 35.021293 samples/sec accuracy=60.527289 loss=1.637485 lr=0.010000 Epoch[029] Batch [3599]/[3759] Speed: 35.365365 samples/sec accuracy=60.522569 loss=1.637705 lr=0.010000 Epoch[029] Batch [3649]/[3759] Speed: 35.171779 samples/sec accuracy=60.531678 loss=1.637967 lr=0.010000 Epoch[029] Batch [3699]/[3759] Speed: 35.210561 samples/sec accuracy=60.533361 loss=1.638102 lr=0.010000 Epoch[029] Batch [3749]/[3759] Speed: 36.591366 samples/sec accuracy=60.519583 loss=1.638349 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.031250 acc-top5=79.843750 Batch [0099]/[0303]: acc-top1=57.390625 acc-top5=80.046875 Batch [0149]/[0303]: acc-top1=57.708333 acc-top5=80.541667 Batch [0199]/[0303]: acc-top1=57.585937 acc-top5=80.656250 Batch [0249]/[0303]: acc-top1=57.325000 acc-top5=80.343750 Batch [0299]/[0303]: acc-top1=57.458333 acc-top5=80.401042 [Epoch 029] training: accuracy=60.516843 loss=1.638534 [Epoch 029] speed: 35 samples/sec time cost: 7337.738590 [Epoch 029] validation: acc-top1=57.415429 acc-top5=80.383663 loss=2.003578 Epoch[030] Batch [0049]/[3760] Speed: 24.843492 samples/sec accuracy=60.468750 loss=1.665686 lr=0.010000 Epoch[030] Batch [0099]/[3760] Speed: 35.114298 samples/sec accuracy=61.015625 loss=1.627906 lr=0.010000 Epoch[030] Batch [0149]/[3760] Speed: 34.913266 samples/sec accuracy=61.135417 loss=1.619983 lr=0.010000 Epoch[030] Batch [0199]/[3760] Speed: 34.916892 samples/sec accuracy=61.703125 loss=1.595022 lr=0.010000 Epoch[030] Batch [0249]/[3760] Speed: 35.152690 samples/sec accuracy=61.812500 loss=1.581819 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35.045259 samples/sec accuracy=60.667969 loss=1.633934 lr=0.010000 Epoch[030] Batch [3649]/[3760] Speed: 35.284258 samples/sec accuracy=60.666952 loss=1.633250 lr=0.010000 Epoch[030] Batch [3699]/[3760] Speed: 35.222892 samples/sec accuracy=60.661740 loss=1.634037 lr=0.010000 Epoch[030] Batch [3749]/[3760] Speed: 36.426631 samples/sec accuracy=60.647500 loss=1.634594 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.531250 acc-top5=80.093750 Batch [0099]/[0303]: acc-top1=57.859375 acc-top5=80.140625 Batch [0149]/[0303]: acc-top1=58.343750 acc-top5=80.552083 Batch [0199]/[0303]: acc-top1=58.164062 acc-top5=80.601562 Batch [0249]/[0303]: acc-top1=57.856250 acc-top5=80.443750 Batch [0299]/[0303]: acc-top1=57.781250 acc-top5=80.505208 [Epoch 030] training: accuracy=60.648271 loss=1.634610 [Epoch 030] speed: 34 samples/sec time cost: 7364.217300 [Epoch 030] validation: acc-top1=57.766089 acc-top5=80.497112 loss=1.992782 Epoch[031] Batch [0049]/[3760] Speed: 23.966269 samples/sec accuracy=62.281250 loss=1.577971 lr=0.010000 Epoch[031] Batch [0099]/[3760] Speed: 35.154980 samples/sec accuracy=62.171875 loss=1.586721 lr=0.010000 Epoch[031] Batch [0149]/[3760] Speed: 34.942196 samples/sec accuracy=61.989583 loss=1.576481 lr=0.010000 Epoch[031] Batch [0199]/[3760] Speed: 35.209672 samples/sec accuracy=61.882812 loss=1.581845 lr=0.010000 Epoch[031] Batch [0249]/[3760] Speed: 35.291880 samples/sec accuracy=62.000000 loss=1.574131 lr=0.010000 Epoch[031] Batch [0299]/[3760] Speed: 35.295235 samples/sec accuracy=62.046875 loss=1.570178 lr=0.010000 Epoch[031] Batch [0349]/[3760] Speed: 35.216671 samples/sec accuracy=61.727679 loss=1.577264 lr=0.010000 Epoch[031] Batch [0399]/[3760] Speed: 35.136143 samples/sec accuracy=61.718750 loss=1.579489 lr=0.010000 Epoch[031] Batch [0449]/[3760] Speed: 35.284015 samples/sec accuracy=61.670139 loss=1.581170 lr=0.010000 Epoch[031] Batch [0499]/[3760] Speed: 35.187011 samples/sec accuracy=61.800000 loss=1.582626 lr=0.010000 Epoch[031] 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accuracy=61.393750 loss=1.596595 lr=0.010000 Epoch[031] Batch [1049]/[3760] Speed: 35.410546 samples/sec accuracy=61.395833 loss=1.597342 lr=0.010000 Epoch[031] Batch [1099]/[3760] Speed: 35.387701 samples/sec accuracy=61.428977 loss=1.595749 lr=0.010000 Epoch[031] Batch [1149]/[3760] Speed: 35.198744 samples/sec accuracy=61.388587 loss=1.597256 lr=0.010000 Epoch[031] Batch [1199]/[3760] Speed: 35.337820 samples/sec accuracy=61.414062 loss=1.597379 lr=0.010000 Epoch[031] Batch [1249]/[3760] Speed: 35.392745 samples/sec accuracy=61.385000 loss=1.598173 lr=0.010000 Epoch[031] Batch [1299]/[3760] Speed: 35.279542 samples/sec accuracy=61.342548 loss=1.599990 lr=0.010000 Epoch[031] Batch [1349]/[3760] Speed: 35.340298 samples/sec accuracy=61.359954 loss=1.601589 lr=0.010000 Epoch[031] Batch [1399]/[3760] Speed: 35.309741 samples/sec accuracy=61.415179 loss=1.600284 lr=0.010000 Epoch[031] Batch [1449]/[3760] Speed: 35.019165 samples/sec accuracy=61.390086 loss=1.601676 lr=0.010000 Epoch[031] 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accuracy=61.268429 loss=1.606213 lr=0.010000 Epoch[031] Batch [1999]/[3760] Speed: 35.097422 samples/sec accuracy=61.239062 loss=1.607024 lr=0.010000 Epoch[031] Batch [2049]/[3760] Speed: 35.497082 samples/sec accuracy=61.201220 loss=1.608724 lr=0.010000 Epoch[031] Batch [2099]/[3760] Speed: 35.128376 samples/sec accuracy=61.159970 loss=1.608449 lr=0.010000 Epoch[031] Batch [2149]/[3760] Speed: 35.372148 samples/sec accuracy=61.154070 loss=1.608781 lr=0.010000 Epoch[031] Batch [2199]/[3760] Speed: 35.077611 samples/sec accuracy=61.151278 loss=1.608987 lr=0.010000 Epoch[031] Batch [2249]/[3760] Speed: 35.351639 samples/sec accuracy=61.165278 loss=1.609181 lr=0.010000 Epoch[031] Batch [2299]/[3760] Speed: 35.182316 samples/sec accuracy=61.135190 loss=1.610054 lr=0.010000 Epoch[031] Batch [2349]/[3760] Speed: 35.435139 samples/sec accuracy=61.157580 loss=1.609505 lr=0.010000 Epoch[031] Batch [2399]/[3760] Speed: 35.166099 samples/sec accuracy=61.169922 loss=1.609752 lr=0.010000 Epoch[031] 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accuracy=61.045797 loss=1.615581 lr=0.010000 Epoch[031] Batch [2949]/[3760] Speed: 35.400914 samples/sec accuracy=61.024364 loss=1.616479 lr=0.010000 Epoch[031] Batch [2999]/[3760] Speed: 35.145615 samples/sec accuracy=61.054167 loss=1.616316 lr=0.010000 Epoch[031] Batch [3049]/[3760] Speed: 35.369183 samples/sec accuracy=61.027152 loss=1.616862 lr=0.010000 Epoch[031] Batch [3099]/[3760] Speed: 35.103391 samples/sec accuracy=61.011089 loss=1.617470 lr=0.010000 Epoch[031] Batch [3149]/[3760] Speed: 35.319774 samples/sec accuracy=61.029266 loss=1.617041 lr=0.010000 Epoch[031] Batch [3199]/[3760] Speed: 35.050002 samples/sec accuracy=61.020508 loss=1.617721 lr=0.010000 Epoch[031] Batch [3249]/[3760] Speed: 35.220575 samples/sec accuracy=61.025000 loss=1.617735 lr=0.010000 Epoch[031] Batch [3299]/[3760] Speed: 34.988239 samples/sec accuracy=61.023201 loss=1.618049 lr=0.010000 Epoch[031] Batch [3349]/[3760] Speed: 35.156416 samples/sec accuracy=61.021922 loss=1.618581 lr=0.010000 Epoch[031] Batch [3399]/[3760] Speed: 35.227499 samples/sec accuracy=61.023438 loss=1.618436 lr=0.010000 Epoch[031] Batch [3449]/[3760] Speed: 35.222351 samples/sec accuracy=61.012681 loss=1.618906 lr=0.010000 Epoch[031] Batch [3499]/[3760] Speed: 35.129294 samples/sec accuracy=61.014286 loss=1.619275 lr=0.010000 Epoch[031] Batch [3549]/[3760] Speed: 35.020481 samples/sec accuracy=60.997359 loss=1.619910 lr=0.010000 Epoch[031] Batch [3599]/[3760] Speed: 35.221942 samples/sec accuracy=61.001302 loss=1.619965 lr=0.010000 Epoch[031] Batch [3649]/[3760] Speed: 34.716516 samples/sec accuracy=60.993151 loss=1.619888 lr=0.010000 Epoch[031] Batch [3699]/[3760] Speed: 35.208169 samples/sec accuracy=60.980997 loss=1.620840 lr=0.010000 Epoch[031] Batch [3749]/[3760] Speed: 36.070613 samples/sec accuracy=60.984167 loss=1.620692 lr=0.010000 Batch [0049]/[0303]: acc-top1=58.500000 acc-top5=81.656250 Batch [0099]/[0303]: acc-top1=58.375000 acc-top5=80.921875 Batch [0149]/[0303]: acc-top1=59.010417 acc-top5=81.260417 Batch [0199]/[0303]: acc-top1=58.796875 acc-top5=81.296875 Batch [0249]/[0303]: acc-top1=58.462500 acc-top5=81.012500 Batch [0299]/[0303]: acc-top1=58.322917 acc-top5=81.062500 [Epoch 031] training: accuracy=60.982380 loss=1.620880 [Epoch 031] speed: 35 samples/sec time cost: 7350.455176 [Epoch 031] validation: acc-top1=58.302393 acc-top5=81.069513 loss=1.954365 Epoch[032] Batch [0049]/[3759] Speed: 24.448602 samples/sec accuracy=61.656250 loss=1.571884 lr=0.010000 Epoch[032] Batch [0099]/[3759] Speed: 34.967920 samples/sec accuracy=62.187500 loss=1.540841 lr=0.010000 Epoch[032] Batch [0149]/[3759] Speed: 35.025397 samples/sec accuracy=61.760417 loss=1.567066 lr=0.010000 Epoch[032] Batch [0199]/[3759] Speed: 35.056578 samples/sec accuracy=61.992187 loss=1.557527 lr=0.010000 Epoch[032] Batch [0249]/[3759] Speed: 35.108621 samples/sec accuracy=62.087500 loss=1.552569 lr=0.010000 Epoch[032] Batch [0299]/[3759] Speed: 35.136353 samples/sec accuracy=61.833333 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Batch [3649]/[3759] Speed: 35.257163 samples/sec accuracy=60.958048 loss=1.615768 lr=0.010000 Epoch[032] Batch [3699]/[3759] Speed: 35.342160 samples/sec accuracy=60.948480 loss=1.616067 lr=0.010000 Epoch[032] Batch [3749]/[3759] Speed: 36.562306 samples/sec accuracy=60.951667 loss=1.615720 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.218750 acc-top5=79.843750 Batch [0099]/[0303]: acc-top1=58.078125 acc-top5=80.078125 Batch [0149]/[0303]: acc-top1=58.020833 acc-top5=80.291667 Batch [0199]/[0303]: acc-top1=57.945312 acc-top5=80.257812 Batch [0249]/[0303]: acc-top1=57.800000 acc-top5=80.112500 Batch [0299]/[0303]: acc-top1=57.661458 acc-top5=80.192708 [Epoch 032] training: accuracy=60.944151 loss=1.615939 [Epoch 032] speed: 35 samples/sec time cost: 7342.919447 [Epoch 032] validation: acc-top1=57.616543 acc-top5=80.167079 loss=1.988521 Epoch[033] Batch [0049]/[3760] Speed: 24.338604 samples/sec accuracy=63.406250 loss=1.511218 lr=0.010000 Epoch[033] Batch [0099]/[3760] Speed: 34.959469 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lr=0.010000 Epoch[033] Batch [3449]/[3760] Speed: 35.379797 samples/sec accuracy=61.188406 loss=1.605340 lr=0.010000 Epoch[033] Batch [3499]/[3760] Speed: 35.425527 samples/sec accuracy=61.182589 loss=1.605418 lr=0.010000 Epoch[033] Batch [3549]/[3760] Speed: 35.248571 samples/sec accuracy=61.182218 loss=1.605601 lr=0.010000 Epoch[033] Batch [3599]/[3760] Speed: 35.480591 samples/sec accuracy=61.167101 loss=1.606048 lr=0.010000 Epoch[033] Batch [3649]/[3760] Speed: 35.372921 samples/sec accuracy=61.181935 loss=1.605355 lr=0.010000 Epoch[033] Batch [3699]/[3760] Speed: 35.332950 samples/sec accuracy=61.181588 loss=1.605670 lr=0.010000 Epoch[033] Batch [3749]/[3760] Speed: 36.410392 samples/sec accuracy=61.159167 loss=1.606911 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.468750 acc-top5=80.500000 Batch [0099]/[0303]: acc-top1=57.765625 acc-top5=79.968750 Batch [0149]/[0303]: acc-top1=58.114583 acc-top5=80.552083 Batch [0199]/[0303]: acc-top1=57.984375 acc-top5=80.554688 Batch [0249]/[0303]: acc-top1=57.581250 acc-top5=80.337500 Batch [0299]/[0303]: acc-top1=57.333333 acc-top5=80.291667 [Epoch 033] training: accuracy=61.153590 loss=1.607113 [Epoch 033] speed: 35 samples/sec time cost: 7336.611291 [Epoch 033] validation: acc-top1=57.322607 acc-top5=80.265058 loss=2.005023 Epoch[034] Batch [0049]/[3759] Speed: 24.651762 samples/sec accuracy=61.093750 loss=1.586212 lr=0.010000 Epoch[034] Batch [0099]/[3759] Speed: 35.185600 samples/sec accuracy=61.593750 loss=1.569697 lr=0.010000 Epoch[034] Batch [0149]/[3759] Speed: 34.994248 samples/sec accuracy=61.916667 loss=1.561493 lr=0.010000 Epoch[034] Batch [0199]/[3759] Speed: 34.984988 samples/sec accuracy=61.484375 loss=1.572923 lr=0.010000 Epoch[034] Batch [0249]/[3759] Speed: 35.248874 samples/sec accuracy=61.650000 loss=1.563178 lr=0.010000 Epoch[034] Batch [0299]/[3759] Speed: 35.188880 samples/sec accuracy=61.598958 loss=1.563001 lr=0.010000 Epoch[034] Batch [0349]/[3759] Speed: 35.350829 samples/sec 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accuracy=61.440918 loss=1.594965 lr=0.010000 Epoch[034] Batch [3249]/[3759] Speed: 35.053093 samples/sec accuracy=61.449038 loss=1.594990 lr=0.010000 Epoch[034] Batch [3299]/[3759] Speed: 35.453028 samples/sec accuracy=61.429451 loss=1.595375 lr=0.010000 Epoch[034] Batch [3349]/[3759] Speed: 35.007593 samples/sec accuracy=61.432369 loss=1.595274 lr=0.010000 Epoch[034] Batch [3399]/[3759] Speed: 35.285168 samples/sec accuracy=61.446232 loss=1.594535 lr=0.010000 Epoch[034] Batch [3449]/[3759] Speed: 35.258085 samples/sec accuracy=61.435688 loss=1.595000 lr=0.010000 Epoch[034] Batch [3499]/[3759] Speed: 35.234307 samples/sec accuracy=61.430804 loss=1.595111 lr=0.010000 Epoch[034] Batch [3549]/[3759] Speed: 35.304098 samples/sec accuracy=61.416373 loss=1.595574 lr=0.010000 Epoch[034] Batch [3599]/[3759] Speed: 35.219684 samples/sec accuracy=61.416667 loss=1.595975 lr=0.010000 Epoch[034] Batch [3649]/[3759] Speed: 35.318082 samples/sec accuracy=61.388699 loss=1.597416 lr=0.010000 Epoch[034] Batch [3699]/[3759] Speed: 35.104177 samples/sec accuracy=61.397804 loss=1.597645 lr=0.010000 Epoch[034] Batch [3749]/[3759] Speed: 36.666302 samples/sec accuracy=61.373333 loss=1.598508 lr=0.010000 Batch [0049]/[0303]: acc-top1=58.531250 acc-top5=80.687500 Batch [0099]/[0303]: acc-top1=58.453125 acc-top5=80.937500 Batch [0149]/[0303]: acc-top1=58.708333 acc-top5=81.031250 Batch [0199]/[0303]: acc-top1=58.437500 acc-top5=81.046875 Batch [0249]/[0303]: acc-top1=58.231250 acc-top5=80.793750 Batch [0299]/[0303]: acc-top1=58.171875 acc-top5=80.822917 [Epoch 034] training: accuracy=61.366886 loss=1.599005 [Epoch 034] speed: 35 samples/sec time cost: 7344.257136 [Epoch 034] validation: acc-top1=58.106436 acc-top5=80.832302 loss=1.990331 Epoch[035] Batch [0049]/[3760] Speed: 24.083720 samples/sec accuracy=60.781250 loss=1.646813 lr=0.010000 Epoch[035] Batch [0099]/[3760] Speed: 35.128403 samples/sec accuracy=62.250000 loss=1.570814 lr=0.010000 Epoch[035] Batch [0149]/[3760] Speed: 34.987105 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lr=0.010000 Epoch[035] Batch [1599]/[3760] Speed: 35.254301 samples/sec accuracy=62.006836 loss=1.576520 lr=0.010000 Epoch[035] Batch [1649]/[3760] Speed: 35.230181 samples/sec accuracy=61.995265 loss=1.576891 lr=0.010000 Epoch[035] Batch [1699]/[3760] Speed: 35.266226 samples/sec accuracy=61.984375 loss=1.577326 lr=0.010000 Epoch[035] Batch [1749]/[3760] Speed: 35.402306 samples/sec accuracy=61.989286 loss=1.576823 lr=0.010000 Epoch[035] Batch [1799]/[3760] Speed: 35.267980 samples/sec accuracy=61.945313 loss=1.578606 lr=0.010000 Epoch[035] Batch [1849]/[3760] Speed: 35.325813 samples/sec accuracy=61.985642 loss=1.577243 lr=0.010000 Epoch[035] Batch [1899]/[3760] Speed: 35.390048 samples/sec accuracy=61.970395 loss=1.577284 lr=0.010000 Epoch[035] Batch [1949]/[3760] Speed: 35.587437 samples/sec accuracy=61.963141 loss=1.577073 lr=0.010000 Epoch[035] Batch [1999]/[3760] Speed: 35.306745 samples/sec accuracy=61.923437 loss=1.578488 lr=0.010000 Epoch[035] Batch [2049]/[3760] Speed: 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lr=0.010000 Epoch[035] Batch [2549]/[3760] Speed: 35.364388 samples/sec accuracy=61.749387 loss=1.583389 lr=0.010000 Epoch[035] Batch [2599]/[3760] Speed: 35.125948 samples/sec accuracy=61.747596 loss=1.583232 lr=0.010000 Epoch[035] Batch [2649]/[3760] Speed: 35.199160 samples/sec accuracy=61.745283 loss=1.583916 lr=0.010000 Epoch[035] Batch [2699]/[3760] Speed: 35.296545 samples/sec accuracy=61.726852 loss=1.584381 lr=0.010000 Epoch[035] Batch [2749]/[3760] Speed: 35.127164 samples/sec accuracy=61.731250 loss=1.584416 lr=0.010000 Epoch[035] Batch [2799]/[3760] Speed: 35.414490 samples/sec accuracy=61.691406 loss=1.585369 lr=0.010000 Epoch[035] Batch [2849]/[3760] Speed: 35.182965 samples/sec accuracy=61.660088 loss=1.585987 lr=0.010000 Epoch[035] Batch [2899]/[3760] Speed: 35.478556 samples/sec accuracy=61.669181 loss=1.585338 lr=0.010000 Epoch[035] Batch [2949]/[3760] Speed: 35.362761 samples/sec accuracy=61.685381 loss=1.585488 lr=0.010000 Epoch[035] Batch [2999]/[3760] Speed: 35.420250 samples/sec accuracy=61.685417 loss=1.585195 lr=0.010000 Epoch[035] Batch [3049]/[3760] Speed: 35.200194 samples/sec accuracy=61.695184 loss=1.585145 lr=0.010000 Epoch[035] Batch [3099]/[3760] Speed: 35.403859 samples/sec accuracy=61.680948 loss=1.585774 lr=0.010000 Epoch[035] Batch [3149]/[3760] Speed: 35.038550 samples/sec accuracy=61.680060 loss=1.586041 lr=0.010000 Epoch[035] Batch [3199]/[3760] Speed: 35.348119 samples/sec accuracy=61.687012 loss=1.585646 lr=0.010000 Epoch[035] Batch [3249]/[3760] Speed: 34.979077 samples/sec accuracy=61.677885 loss=1.585865 lr=0.010000 Epoch[035] Batch [3299]/[3760] Speed: 35.615867 samples/sec accuracy=61.682292 loss=1.586016 lr=0.010000 Epoch[035] Batch [3349]/[3760] Speed: 34.897887 samples/sec accuracy=61.693097 loss=1.585521 lr=0.010000 Epoch[035] Batch [3399]/[3760] Speed: 35.340630 samples/sec accuracy=61.686121 loss=1.586167 lr=0.010000 Epoch[035] Batch [3449]/[3760] Speed: 34.875655 samples/sec accuracy=61.666667 loss=1.587309 lr=0.010000 Epoch[035] Batch [3499]/[3760] Speed: 35.385815 samples/sec accuracy=61.668750 loss=1.588373 lr=0.010000 Epoch[035] Batch [3549]/[3760] Speed: 35.108706 samples/sec accuracy=61.662412 loss=1.588660 lr=0.010000 Epoch[035] Batch [3599]/[3760] Speed: 35.280548 samples/sec accuracy=61.644097 loss=1.589249 lr=0.010000 Epoch[035] Batch [3649]/[3760] Speed: 35.248772 samples/sec accuracy=61.639555 loss=1.589846 lr=0.010000 Epoch[035] Batch [3699]/[3760] Speed: 35.155849 samples/sec accuracy=61.649916 loss=1.589450 lr=0.010000 Epoch[035] Batch [3749]/[3760] Speed: 36.199864 samples/sec accuracy=61.641667 loss=1.590128 lr=0.010000 Batch [0049]/[0303]: acc-top1=58.062500 acc-top5=81.875000 Batch [0099]/[0303]: acc-top1=58.375000 acc-top5=81.328125 Batch [0149]/[0303]: acc-top1=58.833333 acc-top5=81.645833 Batch [0199]/[0303]: acc-top1=58.984375 acc-top5=81.671875 Batch [0249]/[0303]: acc-top1=58.718750 acc-top5=81.406250 Batch [0299]/[0303]: acc-top1=58.593750 acc-top5=81.390625 [Epoch 035] training: accuracy=61.644365 loss=1.590329 [Epoch 035] speed: 35 samples/sec time cost: 7334.872836 [Epoch 035] validation: acc-top1=58.611799 acc-top5=81.389233 loss=1.958987 Epoch[036] Batch [0049]/[3760] Speed: 24.963751 samples/sec accuracy=61.875000 loss=1.555490 lr=0.010000 Epoch[036] Batch [0099]/[3760] Speed: 35.049569 samples/sec accuracy=62.109375 loss=1.548885 lr=0.010000 Epoch[036] Batch [0149]/[3760] Speed: 34.809227 samples/sec accuracy=62.354167 loss=1.544825 lr=0.010000 Epoch[036] Batch [0199]/[3760] Speed: 34.868969 samples/sec accuracy=62.304688 loss=1.545142 lr=0.010000 Epoch[036] Batch [0249]/[3760] Speed: 35.218345 samples/sec accuracy=62.343750 loss=1.548337 lr=0.010000 Epoch[036] Batch [0299]/[3760] Speed: 34.743241 samples/sec accuracy=62.359375 loss=1.556452 lr=0.010000 Epoch[036] Batch [0349]/[3760] Speed: 35.327182 samples/sec accuracy=62.191964 loss=1.558471 lr=0.010000 Epoch[036] Batch [0399]/[3760] Speed: 34.636770 samples/sec accuracy=62.382812 loss=1.556185 lr=0.010000 Epoch[036] Batch [0449]/[3760] Speed: 35.451876 samples/sec accuracy=62.513889 loss=1.555416 lr=0.010000 Epoch[036] Batch [0499]/[3760] Speed: 35.067996 samples/sec accuracy=62.593750 loss=1.554715 lr=0.010000 Epoch[036] Batch [0549]/[3760] Speed: 35.334470 samples/sec accuracy=62.511364 loss=1.558025 lr=0.010000 Epoch[036] Batch [0599]/[3760] Speed: 35.103598 samples/sec accuracy=62.541667 loss=1.553081 lr=0.010000 Epoch[036] Batch [0649]/[3760] Speed: 35.453056 samples/sec accuracy=62.540865 loss=1.551971 lr=0.010000 Epoch[036] Batch [0699]/[3760] Speed: 34.908115 samples/sec accuracy=62.504464 loss=1.551754 lr=0.010000 Epoch[036] Batch [0749]/[3760] Speed: 35.390311 samples/sec accuracy=62.400000 loss=1.557037 lr=0.010000 Epoch[036] Batch [0799]/[3760] Speed: 35.225251 samples/sec accuracy=62.412109 loss=1.558610 lr=0.010000 Epoch[036] Batch [0849]/[3760] Speed: 35.149850 samples/sec accuracy=62.347426 loss=1.559928 lr=0.010000 Epoch[036] 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accuracy=62.368056 loss=1.553662 lr=0.010000 Epoch[036] Batch [1399]/[3760] Speed: 34.978862 samples/sec accuracy=62.395089 loss=1.553295 lr=0.010000 Epoch[036] Batch [1449]/[3760] Speed: 35.411640 samples/sec accuracy=62.357759 loss=1.555022 lr=0.010000 Epoch[036] Batch [1499]/[3760] Speed: 35.212153 samples/sec accuracy=62.401042 loss=1.553140 lr=0.010000 Epoch[036] Batch [1549]/[3760] Speed: 35.408202 samples/sec accuracy=62.333669 loss=1.554484 lr=0.010000 Epoch[036] Batch [1599]/[3760] Speed: 35.294951 samples/sec accuracy=62.333984 loss=1.553894 lr=0.010000 Epoch[036] Batch [1649]/[3760] Speed: 35.229840 samples/sec accuracy=62.286932 loss=1.555489 lr=0.010000 Epoch[036] Batch [1699]/[3760] Speed: 35.239950 samples/sec accuracy=62.289522 loss=1.555519 lr=0.010000 Epoch[036] Batch [1749]/[3760] Speed: 35.489807 samples/sec accuracy=62.277679 loss=1.555856 lr=0.010000 Epoch[036] Batch [1799]/[3760] Speed: 35.136895 samples/sec accuracy=62.235243 loss=1.557791 lr=0.010000 Epoch[036] 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accuracy=61.996603 loss=1.569750 lr=0.010000 Epoch[036] Batch [2349]/[3760] Speed: 35.126395 samples/sec accuracy=62.001995 loss=1.569407 lr=0.010000 Epoch[036] Batch [2399]/[3760] Speed: 35.390604 samples/sec accuracy=61.998698 loss=1.569609 lr=0.010000 Epoch[036] Batch [2449]/[3760] Speed: 35.110879 samples/sec accuracy=61.916454 loss=1.572776 lr=0.010000 Epoch[036] Batch [2499]/[3760] Speed: 35.488028 samples/sec accuracy=61.861875 loss=1.574029 lr=0.010000 Epoch[036] Batch [2549]/[3760] Speed: 34.940879 samples/sec accuracy=61.880515 loss=1.574111 lr=0.010000 Epoch[036] Batch [2599]/[3760] Speed: 35.195805 samples/sec accuracy=61.852163 loss=1.575401 lr=0.010000 Epoch[036] Batch [2649]/[3760] Speed: 34.891018 samples/sec accuracy=61.836675 loss=1.576075 lr=0.010000 Epoch[036] Batch [2699]/[3760] Speed: 35.401400 samples/sec accuracy=61.849537 loss=1.575568 lr=0.010000 Epoch[036] Batch [2749]/[3760] Speed: 34.531538 samples/sec accuracy=61.821591 loss=1.576403 lr=0.010000 Epoch[036] 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Batch [3749]/[3760] Speed: 36.683894 samples/sec accuracy=61.667917 loss=1.584895 lr=0.010000 Batch [0049]/[0303]: acc-top1=57.562500 acc-top5=80.437500 Batch [0099]/[0303]: acc-top1=58.000000 acc-top5=80.250000 Batch [0149]/[0303]: acc-top1=58.333333 acc-top5=80.802083 Batch [0199]/[0303]: acc-top1=58.046875 acc-top5=80.960938 Batch [0249]/[0303]: acc-top1=57.775000 acc-top5=80.800000 Batch [0299]/[0303]: acc-top1=57.755208 acc-top5=80.807292 [Epoch 036] training: accuracy=61.653923 loss=1.585429 [Epoch 036] speed: 35 samples/sec time cost: 7341.763641 [Epoch 036] validation: acc-top1=57.704208 acc-top5=80.806518 loss=1.997611 Epoch[037] Batch [0049]/[3759] Speed: 24.301813 samples/sec accuracy=61.281250 loss=1.560982 lr=0.010000 Epoch[037] Batch [0099]/[3759] Speed: 35.073038 samples/sec accuracy=61.921875 loss=1.547196 lr=0.010000 Epoch[037] Batch [0149]/[3759] Speed: 34.946884 samples/sec accuracy=62.364583 loss=1.528245 lr=0.010000 Epoch[037] Batch [0199]/[3759] Speed: 35.195686 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lr=0.010000 Epoch[037] Batch [2599]/[3759] Speed: 34.949750 samples/sec accuracy=61.953726 loss=1.570778 lr=0.010000 Epoch[037] Batch [2649]/[3759] Speed: 35.300548 samples/sec accuracy=61.937500 loss=1.571630 lr=0.010000 Epoch[037] Batch [2699]/[3759] Speed: 34.861653 samples/sec accuracy=61.910880 loss=1.572957 lr=0.010000 Epoch[037] Batch [2749]/[3759] Speed: 35.413933 samples/sec accuracy=61.903409 loss=1.573436 lr=0.010000 Epoch[037] Batch [2799]/[3759] Speed: 34.683386 samples/sec accuracy=61.928571 loss=1.572155 lr=0.010000 Epoch[037] Batch [2849]/[3759] Speed: 34.865244 samples/sec accuracy=61.939693 loss=1.571501 lr=0.010000 Epoch[037] Batch [2899]/[3759] Speed: 34.871582 samples/sec accuracy=61.909483 loss=1.572789 lr=0.010000 Epoch[037] Batch [2949]/[3759] Speed: 34.759185 samples/sec accuracy=61.896716 loss=1.572992 lr=0.010000 Epoch[037] Batch [2999]/[3759] Speed: 34.908175 samples/sec accuracy=61.881771 loss=1.573969 lr=0.010000 Epoch[037] Batch [3049]/[3759] Speed: 34.549583 samples/sec accuracy=61.846311 loss=1.575629 lr=0.010000 Epoch[037] Batch [3099]/[3759] Speed: 35.237004 samples/sec accuracy=61.861895 loss=1.575422 lr=0.010000 Epoch[037] Batch [3149]/[3759] Speed: 34.758816 samples/sec accuracy=61.842758 loss=1.576469 lr=0.010000 Epoch[037] Batch [3199]/[3759] Speed: 35.343277 samples/sec accuracy=61.839355 loss=1.576732 lr=0.010000 Epoch[037] Batch [3249]/[3759] Speed: 34.971068 samples/sec accuracy=61.821154 loss=1.577644 lr=0.010000 Epoch[037] Batch [3299]/[3759] Speed: 35.020226 samples/sec accuracy=61.814394 loss=1.577583 lr=0.010000 Epoch[037] Batch [3349]/[3759] Speed: 34.944313 samples/sec accuracy=61.798507 loss=1.578697 lr=0.010000 Epoch[037] Batch [3399]/[3759] Speed: 35.232482 samples/sec accuracy=61.785846 loss=1.578958 lr=0.010000 Epoch[037] Batch [3449]/[3759] Speed: 35.091138 samples/sec accuracy=61.772645 loss=1.579607 lr=0.010000 Epoch[037] Batch [3499]/[3759] Speed: 35.144808 samples/sec accuracy=61.756696 loss=1.579825 lr=0.010000 Epoch[037] Batch [3549]/[3759] Speed: 35.085685 samples/sec accuracy=61.744718 loss=1.580538 lr=0.010000 Epoch[037] Batch [3599]/[3759] Speed: 35.060380 samples/sec accuracy=61.733941 loss=1.581380 lr=0.010000 Epoch[037] Batch [3649]/[3759] Speed: 35.105189 samples/sec accuracy=61.720034 loss=1.582213 lr=0.010000 Epoch[037] Batch [3699]/[3759] Speed: 34.685816 samples/sec accuracy=61.734797 loss=1.581316 lr=0.010000 Epoch[037] Batch [3749]/[3759] Speed: 36.432249 samples/sec accuracy=61.737083 loss=1.581627 lr=0.010000 Batch [0049]/[0303]: acc-top1=58.031250 acc-top5=81.812500 Batch [0099]/[0303]: acc-top1=58.296875 acc-top5=81.140625 Batch [0149]/[0303]: acc-top1=58.677083 acc-top5=81.322917 Batch [0199]/[0303]: acc-top1=58.492188 acc-top5=81.445312 Batch [0249]/[0303]: acc-top1=58.356250 acc-top5=80.912500 Batch [0299]/[0303]: acc-top1=58.234375 acc-top5=80.942708 [Epoch 037] training: accuracy=61.742235 loss=1.581362 [Epoch 037] speed: 34 samples/sec time cost: 7352.240981 [Epoch 037] validation: acc-top1=58.188944 acc-top5=80.935437 loss=2.003857 Epoch[038] Batch [0049]/[3760] Speed: 25.115183 samples/sec accuracy=62.312500 loss=1.578057 lr=0.010000 Epoch[038] Batch [0099]/[3760] Speed: 34.859842 samples/sec accuracy=61.671875 loss=1.586392 lr=0.010000 Epoch[038] Batch [0149]/[3760] Speed: 34.828724 samples/sec accuracy=61.718750 loss=1.575117 lr=0.010000 Epoch[038] Batch [0199]/[3760] Speed: 35.079658 samples/sec accuracy=61.796875 loss=1.565742 lr=0.010000 Epoch[038] Batch [0249]/[3760] Speed: 35.203006 samples/sec accuracy=62.006250 loss=1.567025 lr=0.010000 Epoch[038] Batch [0299]/[3760] Speed: 34.982276 samples/sec accuracy=62.015625 loss=1.563411 lr=0.010000 Epoch[038] Batch [0349]/[3760] Speed: 35.379371 samples/sec accuracy=62.187500 loss=1.558769 lr=0.010000 Epoch[038] Batch [0399]/[3760] Speed: 34.854331 samples/sec accuracy=62.089844 loss=1.557459 lr=0.010000 Epoch[038] Batch [0449]/[3760] Speed: 35.452713 samples/sec accuracy=62.152778 loss=1.557557 lr=0.010000 Epoch[038] Batch [0499]/[3760] Speed: 34.777001 samples/sec accuracy=62.096875 loss=1.560805 lr=0.010000 Epoch[038] Batch [0549]/[3760] Speed: 35.430871 samples/sec accuracy=62.125000 loss=1.561060 lr=0.010000 Epoch[038] Batch [0599]/[3760] Speed: 34.673007 samples/sec accuracy=62.109375 loss=1.562036 lr=0.010000 Epoch[038] Batch [0649]/[3760] Speed: 35.306099 samples/sec accuracy=62.192308 loss=1.556360 lr=0.010000 Epoch[038] Batch [0699]/[3760] Speed: 35.153622 samples/sec accuracy=62.243304 loss=1.553228 lr=0.010000 Epoch[038] Batch [0749]/[3760] Speed: 35.290489 samples/sec accuracy=62.318750 loss=1.551343 lr=0.010000 Epoch[038] Batch [0799]/[3760] Speed: 35.289811 samples/sec accuracy=62.324219 loss=1.552016 lr=0.010000 Epoch[038] Batch [0849]/[3760] Speed: 35.204415 samples/sec accuracy=62.308824 loss=1.551872 lr=0.010000 Epoch[038] Batch [0899]/[3760] Speed: 34.990165 samples/sec accuracy=62.218750 loss=1.555472 lr=0.010000 Epoch[038] 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[0049]/[0303]: acc-top1=58.500000 acc-top5=81.093750 Batch [0099]/[0303]: acc-top1=58.703125 acc-top5=80.953125 Batch [0149]/[0303]: acc-top1=58.822917 acc-top5=81.218750 Batch [0199]/[0303]: acc-top1=58.585937 acc-top5=81.179688 Batch [0249]/[0303]: acc-top1=58.331250 acc-top5=80.825000 Batch [0299]/[0303]: acc-top1=58.286458 acc-top5=80.895833 [Epoch 038] training: accuracy=61.959358 loss=1.576806 [Epoch 038] speed: 34 samples/sec time cost: 7358.670676 [Epoch 038] validation: acc-top1=58.286922 acc-top5=80.883870 loss=1.957854 Epoch[039] Batch [0049]/[3760] Speed: 24.125239 samples/sec accuracy=62.406250 loss=1.533093 lr=0.010000 Epoch[039] Batch [0099]/[3760] Speed: 34.988193 samples/sec accuracy=62.359375 loss=1.555401 lr=0.010000 Epoch[039] Batch [0149]/[3760] Speed: 34.943335 samples/sec accuracy=62.333333 loss=1.554525 lr=0.010000 Epoch[039] Batch [0199]/[3760] Speed: 35.145382 samples/sec accuracy=62.742188 loss=1.551657 lr=0.010000 Epoch[039] Batch [0249]/[3760] Speed: 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lr=0.010000 Epoch[039] Batch [1699]/[3760] Speed: 35.037212 samples/sec accuracy=62.612132 loss=1.556003 lr=0.010000 Epoch[039] Batch [1749]/[3760] Speed: 35.269230 samples/sec accuracy=62.604464 loss=1.557133 lr=0.010000 Epoch[039] Batch [1799]/[3760] Speed: 34.871486 samples/sec accuracy=62.581597 loss=1.557526 lr=0.010000 Epoch[039] Batch [1849]/[3760] Speed: 35.227860 samples/sec accuracy=62.575169 loss=1.557688 lr=0.010000 Epoch[039] Batch [1899]/[3760] Speed: 34.592043 samples/sec accuracy=62.569079 loss=1.558143 lr=0.010000 Epoch[039] Batch [1949]/[3760] Speed: 35.212271 samples/sec accuracy=62.559295 loss=1.558576 lr=0.010000 Epoch[039] Batch [1999]/[3760] Speed: 34.871659 samples/sec accuracy=62.548437 loss=1.559451 lr=0.010000 Epoch[039] Batch [2049]/[3760] Speed: 35.122230 samples/sec accuracy=62.505335 loss=1.560174 lr=0.010000 Epoch[039] Batch [2099]/[3760] Speed: 35.169613 samples/sec accuracy=62.491815 loss=1.560522 lr=0.010000 Epoch[039] Batch [2149]/[3760] Speed: 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lr=0.010000 Epoch[039] Batch [2649]/[3760] Speed: 34.899236 samples/sec accuracy=62.239387 loss=1.569489 lr=0.010000 Epoch[039] Batch [2699]/[3760] Speed: 35.418034 samples/sec accuracy=62.248264 loss=1.569094 lr=0.010000 Epoch[039] Batch [2749]/[3760] Speed: 34.953258 samples/sec accuracy=62.270455 loss=1.568562 lr=0.010000 Epoch[039] Batch [2799]/[3760] Speed: 35.317453 samples/sec accuracy=62.259487 loss=1.569201 lr=0.010000 Epoch[039] Batch [2849]/[3760] Speed: 34.985548 samples/sec accuracy=62.241776 loss=1.569984 lr=0.010000 Epoch[039] Batch [2899]/[3760] Speed: 35.063604 samples/sec accuracy=62.248922 loss=1.570062 lr=0.010000 Epoch[039] Batch [2949]/[3760] Speed: 34.810683 samples/sec accuracy=62.224576 loss=1.570846 lr=0.010000 Epoch[039] Batch [2999]/[3760] Speed: 34.847079 samples/sec accuracy=62.226563 loss=1.571239 lr=0.010000 Epoch[039] Batch [3049]/[3760] Speed: 34.953857 samples/sec accuracy=62.202869 loss=1.571155 lr=0.010000 Epoch[039] Batch [3099]/[3760] Speed: 34.421290 samples/sec accuracy=62.182460 loss=1.571527 lr=0.010000 Epoch[039] Batch [3149]/[3760] Speed: 34.829133 samples/sec accuracy=62.174603 loss=1.571966 lr=0.010000 Epoch[039] Batch [3199]/[3760] Speed: 34.395879 samples/sec accuracy=62.177246 loss=1.571663 lr=0.010000 Epoch[039] Batch [3249]/[3760] Speed: 35.270016 samples/sec accuracy=62.180288 loss=1.571778 lr=0.010000 Epoch[039] Batch [3299]/[3760] Speed: 34.465478 samples/sec accuracy=62.173295 loss=1.572044 lr=0.010000 Epoch[039] Batch [3349]/[3760] Speed: 35.212486 samples/sec accuracy=62.184701 loss=1.571373 lr=0.010000 Epoch[039] Batch [3399]/[3760] Speed: 34.503395 samples/sec accuracy=62.153033 loss=1.572472 lr=0.010000 Epoch[039] Batch [3449]/[3760] Speed: 34.901731 samples/sec accuracy=62.142663 loss=1.573302 lr=0.010000 Epoch[039] Batch [3499]/[3760] Speed: 35.037707 samples/sec accuracy=62.112054 loss=1.573677 lr=0.010000 Epoch[039] Batch [3549]/[3760] Speed: 34.751187 samples/sec accuracy=62.089789 loss=1.575036 lr=0.010000 Epoch[039] Batch [3599]/[3760] Speed: 35.090463 samples/sec accuracy=62.071615 loss=1.576134 lr=0.010000 Epoch[039] Batch [3649]/[3760] Speed: 34.897286 samples/sec accuracy=62.084332 loss=1.575831 lr=0.010000 Epoch[039] Batch [3699]/[3760] Speed: 35.139050 samples/sec accuracy=62.087416 loss=1.576389 lr=0.010000 Epoch[039] Batch [3749]/[3760] Speed: 36.080191 samples/sec accuracy=62.099167 loss=1.575879 lr=0.001000 Batch [0049]/[0303]: acc-top1=59.125000 acc-top5=81.562500 Batch [0099]/[0303]: acc-top1=59.109375 acc-top5=81.531250 Batch [0149]/[0303]: acc-top1=59.635417 acc-top5=81.927083 Batch [0199]/[0303]: acc-top1=59.718750 acc-top5=81.984375 Batch [0249]/[0303]: acc-top1=59.200000 acc-top5=81.781250 Batch [0299]/[0303]: acc-top1=59.197917 acc-top5=81.786458 [Epoch 039] training: accuracy=62.092337 loss=1.576237 [Epoch 039] speed: 34 samples/sec time cost: 7384.303889 [Epoch 039] validation: acc-top1=59.148102 acc-top5=81.796617 loss=1.936255 Epoch[040] Batch 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accuracy=66.200000 loss=1.391372 lr=0.001000 Epoch[040] Batch [0549]/[3759] Speed: 35.394131 samples/sec accuracy=66.227273 loss=1.392812 lr=0.001000 Epoch[040] Batch [0599]/[3759] Speed: 34.835756 samples/sec accuracy=66.312500 loss=1.390308 lr=0.001000 Epoch[040] Batch [0649]/[3759] Speed: 35.413266 samples/sec accuracy=66.399038 loss=1.386535 lr=0.001000 Epoch[040] Batch [0699]/[3759] Speed: 34.986432 samples/sec accuracy=66.598214 loss=1.377995 lr=0.001000 Epoch[040] Batch [0749]/[3759] Speed: 35.187024 samples/sec accuracy=66.625000 loss=1.374021 lr=0.001000 Epoch[040] Batch [0799]/[3759] Speed: 34.999297 samples/sec accuracy=66.628906 loss=1.372266 lr=0.001000 Epoch[040] Batch [0849]/[3759] Speed: 35.420950 samples/sec accuracy=66.637868 loss=1.370959 lr=0.001000 Epoch[040] Batch [0899]/[3759] Speed: 35.069446 samples/sec accuracy=66.741319 loss=1.364868 lr=0.001000 Epoch[040] Batch [0949]/[3759] Speed: 35.346245 samples/sec accuracy=66.825658 loss=1.360258 lr=0.001000 Epoch[040] 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accuracy=67.481681 loss=1.333790 lr=0.001000 Epoch[040] Batch [1499]/[3759] Speed: 35.345513 samples/sec accuracy=67.535417 loss=1.331288 lr=0.001000 Epoch[040] Batch [1549]/[3759] Speed: 35.366285 samples/sec accuracy=67.539315 loss=1.330575 lr=0.001000 Epoch[040] Batch [1599]/[3759] Speed: 35.109626 samples/sec accuracy=67.555664 loss=1.329153 lr=0.001000 Epoch[040] Batch [1649]/[3759] Speed: 35.290254 samples/sec accuracy=67.586174 loss=1.327796 lr=0.001000 Epoch[040] Batch [1699]/[3759] Speed: 35.339290 samples/sec accuracy=67.646140 loss=1.325459 lr=0.001000 Epoch[040] Batch [1749]/[3759] Speed: 35.274891 samples/sec accuracy=67.692857 loss=1.322754 lr=0.001000 Epoch[040] Batch [1799]/[3759] Speed: 35.252398 samples/sec accuracy=67.765625 loss=1.319627 lr=0.001000 Epoch[040] Batch [1849]/[3759] Speed: 35.280613 samples/sec accuracy=67.805743 loss=1.318116 lr=0.001000 Epoch[040] Batch [1899]/[3759] Speed: 35.041571 samples/sec accuracy=67.855263 loss=1.315658 lr=0.001000 Epoch[040] 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accuracy=68.123698 loss=1.303744 lr=0.001000 Epoch[040] Batch [2449]/[3759] Speed: 35.333649 samples/sec accuracy=68.160714 loss=1.303024 lr=0.001000 Epoch[040] Batch [2499]/[3759] Speed: 35.276876 samples/sec accuracy=68.205000 loss=1.302392 lr=0.001000 Epoch[040] Batch [2549]/[3759] Speed: 34.998662 samples/sec accuracy=68.219363 loss=1.301711 lr=0.001000 Epoch[040] Batch [2599]/[3759] Speed: 35.196925 samples/sec accuracy=68.229567 loss=1.301935 lr=0.001000 Epoch[040] Batch [2649]/[3759] Speed: 35.100698 samples/sec accuracy=68.228774 loss=1.301643 lr=0.001000 Epoch[040] Batch [2699]/[3759] Speed: 35.215673 samples/sec accuracy=68.236690 loss=1.301238 lr=0.001000 Epoch[040] Batch [2749]/[3759] Speed: 35.073359 samples/sec accuracy=68.270455 loss=1.299806 lr=0.001000 Epoch[040] Batch [2799]/[3759] Speed: 35.105198 samples/sec accuracy=68.297991 loss=1.298631 lr=0.001000 Epoch[040] Batch [2849]/[3759] Speed: 34.866407 samples/sec accuracy=68.314693 loss=1.298007 lr=0.001000 Epoch[040] 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accuracy=68.540112 loss=1.287209 lr=0.001000 Epoch[040] Batch [3399]/[3759] Speed: 34.773390 samples/sec accuracy=68.559743 loss=1.286041 lr=0.001000 Epoch[040] Batch [3449]/[3759] Speed: 35.232614 samples/sec accuracy=68.587862 loss=1.284788 lr=0.001000 Epoch[040] Batch [3499]/[3759] Speed: 34.682245 samples/sec accuracy=68.605804 loss=1.283698 lr=0.001000 Epoch[040] Batch [3549]/[3759] Speed: 35.125589 samples/sec accuracy=68.620158 loss=1.282777 lr=0.001000 Epoch[040] Batch [3599]/[3759] Speed: 34.837398 samples/sec accuracy=68.646701 loss=1.281725 lr=0.001000 Epoch[040] Batch [3649]/[3759] Speed: 34.901495 samples/sec accuracy=68.660959 loss=1.281352 lr=0.001000 Epoch[040] Batch [3699]/[3759] Speed: 35.033952 samples/sec accuracy=68.658361 loss=1.281394 lr=0.001000 Epoch[040] Batch [3749]/[3759] Speed: 36.314281 samples/sec accuracy=68.659583 loss=1.281463 lr=0.001000 Batch [0049]/[0303]: acc-top1=65.406250 acc-top5=85.062500 Batch [0099]/[0303]: acc-top1=64.718750 acc-top5=84.796875 Batch [0149]/[0303]: acc-top1=64.864583 acc-top5=85.250000 Batch [0199]/[0303]: acc-top1=64.796875 acc-top5=85.226562 Batch [0249]/[0303]: acc-top1=64.550000 acc-top5=84.893750 Batch [0299]/[0303]: acc-top1=64.427083 acc-top5=84.822917 [Epoch 040] training: accuracy=68.658553 loss=1.281434 [Epoch 040] speed: 34 samples/sec time cost: 7356.577198 [Epoch 040] validation: acc-top1=64.418317 acc-top5=84.839109 loss=1.656033 Epoch[041] Batch [0049]/[3760] Speed: 24.102605 samples/sec accuracy=69.062500 loss=1.247533 lr=0.001000 Epoch[041] Batch [0099]/[3760] Speed: 34.966660 samples/sec accuracy=69.578125 loss=1.221175 lr=0.001000 Epoch[041] Batch [0149]/[3760] Speed: 34.903091 samples/sec accuracy=70.197917 loss=1.208058 lr=0.001000 Epoch[041] Batch [0199]/[3760] Speed: 35.024444 samples/sec accuracy=69.750000 loss=1.213377 lr=0.001000 Epoch[041] Batch [0249]/[3760] Speed: 35.113780 samples/sec accuracy=69.825000 loss=1.218071 lr=0.001000 Epoch[041] Batch [0299]/[3760] 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accuracy=70.431066 loss=1.203858 lr=0.001000 Epoch[041] Batch [1749]/[3760] Speed: 35.057945 samples/sec accuracy=70.459821 loss=1.202859 lr=0.001000 Epoch[041] Batch [1799]/[3760] Speed: 35.318682 samples/sec accuracy=70.467014 loss=1.202869 lr=0.001000 Epoch[041] Batch [1849]/[3760] Speed: 35.159122 samples/sec accuracy=70.463682 loss=1.204097 lr=0.001000 Epoch[041] Batch [1899]/[3760] Speed: 35.294060 samples/sec accuracy=70.469572 loss=1.204054 lr=0.001000 Epoch[041] Batch [1949]/[3760] Speed: 35.139978 samples/sec accuracy=70.463942 loss=1.204301 lr=0.001000 Epoch[041] Batch [1999]/[3760] Speed: 35.494097 samples/sec accuracy=70.478125 loss=1.202686 lr=0.001000 Epoch[041] Batch [2049]/[3760] Speed: 34.913043 samples/sec accuracy=70.467988 loss=1.203158 lr=0.001000 Epoch[041] Batch [2099]/[3760] Speed: 35.400576 samples/sec accuracy=70.477679 loss=1.202522 lr=0.001000 Epoch[041] Batch [2149]/[3760] Speed: 35.146598 samples/sec accuracy=70.482558 loss=1.202255 lr=0.001000 Epoch[041] 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accuracy=70.484670 loss=1.202268 lr=0.001000 Epoch[041] Batch [2699]/[3760] Speed: 35.086141 samples/sec accuracy=70.491898 loss=1.201550 lr=0.001000 Epoch[041] Batch [2749]/[3760] Speed: 35.316549 samples/sec accuracy=70.493182 loss=1.201301 lr=0.001000 Epoch[041] Batch [2799]/[3760] Speed: 35.167458 samples/sec accuracy=70.489397 loss=1.201411 lr=0.001000 Epoch[041] Batch [2849]/[3760] Speed: 35.255557 samples/sec accuracy=70.473136 loss=1.201441 lr=0.001000 Epoch[041] Batch [2899]/[3760] Speed: 34.834662 samples/sec accuracy=70.474138 loss=1.201146 lr=0.001000 Epoch[041] Batch [2949]/[3760] Speed: 35.420888 samples/sec accuracy=70.515890 loss=1.200156 lr=0.001000 Epoch[041] Batch [2999]/[3760] Speed: 34.782888 samples/sec accuracy=70.520313 loss=1.199549 lr=0.001000 Epoch[041] Batch [3049]/[3760] Speed: 35.181291 samples/sec accuracy=70.525102 loss=1.198893 lr=0.001000 Epoch[041] Batch [3099]/[3760] Speed: 34.601294 samples/sec accuracy=70.551411 loss=1.198040 lr=0.001000 Epoch[041] Batch [3149]/[3760] Speed: 35.177031 samples/sec accuracy=70.577381 loss=1.196911 lr=0.001000 Epoch[041] Batch [3199]/[3760] Speed: 34.591878 samples/sec accuracy=70.592285 loss=1.196165 lr=0.001000 Epoch[041] Batch [3249]/[3760] Speed: 35.120810 samples/sec accuracy=70.588942 loss=1.196070 lr=0.001000 Epoch[041] Batch [3299]/[3760] Speed: 34.795676 samples/sec accuracy=70.618845 loss=1.194838 lr=0.001000 Epoch[041] Batch [3349]/[3760] Speed: 35.011946 samples/sec accuracy=70.631530 loss=1.194051 lr=0.001000 Epoch[041] Batch [3399]/[3760] Speed: 35.370923 samples/sec accuracy=70.653033 loss=1.193009 lr=0.001000 Epoch[041] Batch [3449]/[3760] Speed: 34.882599 samples/sec accuracy=70.631793 loss=1.193159 lr=0.001000 Epoch[041] Batch [3499]/[3760] Speed: 35.591504 samples/sec accuracy=70.647321 loss=1.192203 lr=0.001000 Epoch[041] Batch [3549]/[3760] Speed: 35.339163 samples/sec accuracy=70.661532 loss=1.191657 lr=0.001000 Epoch[041] Batch [3599]/[3760] Speed: 35.472633 samples/sec accuracy=70.667969 loss=1.191380 lr=0.001000 Epoch[041] Batch [3649]/[3760] Speed: 35.261492 samples/sec accuracy=70.650257 loss=1.191811 lr=0.001000 Epoch[041] Batch [3699]/[3760] Speed: 35.447481 samples/sec accuracy=70.665963 loss=1.191317 lr=0.001000 Epoch[041] Batch [3749]/[3760] Speed: 36.466481 samples/sec accuracy=70.672917 loss=1.191085 lr=0.001000 Batch [0049]/[0303]: acc-top1=65.281250 acc-top5=85.625000 Batch [0099]/[0303]: acc-top1=65.250000 acc-top5=85.296875 Batch [0149]/[0303]: acc-top1=65.458333 acc-top5=85.458333 Batch [0199]/[0303]: acc-top1=65.343750 acc-top5=85.390625 Batch [0249]/[0303]: acc-top1=65.056250 acc-top5=85.206250 Batch [0299]/[0303]: acc-top1=65.005208 acc-top5=85.192708 [Epoch 041] training: accuracy=70.671958 loss=1.190966 [Epoch 041] speed: 34 samples/sec time cost: 7350.147787 [Epoch 041] validation: acc-top1=65.006188 acc-top5=85.194926 loss=1.636118 Epoch[042] Batch [0049]/[3760] Speed: 24.255518 samples/sec accuracy=71.500000 loss=1.115103 lr=0.001000 Epoch[042] Batch [0099]/[3760] Speed: 35.107611 samples/sec accuracy=71.093750 loss=1.153348 lr=0.001000 Epoch[042] Batch [0149]/[3760] Speed: 34.949619 samples/sec accuracy=70.802083 loss=1.162006 lr=0.001000 Epoch[042] Batch [0199]/[3760] Speed: 34.922655 samples/sec accuracy=71.328125 loss=1.148038 lr=0.001000 Epoch[042] Batch [0249]/[3760] Speed: 35.015117 samples/sec accuracy=71.318750 loss=1.151921 lr=0.001000 Epoch[042] Batch [0299]/[3760] Speed: 34.928640 samples/sec accuracy=71.296875 loss=1.155605 lr=0.001000 Epoch[042] Batch [0349]/[3760] Speed: 35.233468 samples/sec accuracy=71.120536 loss=1.160887 lr=0.001000 Epoch[042] Batch [0399]/[3760] Speed: 34.641608 samples/sec accuracy=71.167969 loss=1.160085 lr=0.001000 Epoch[042] Batch [0449]/[3760] Speed: 35.062920 samples/sec accuracy=71.065972 loss=1.164585 lr=0.001000 Epoch[042] Batch [0499]/[3760] Speed: 34.483361 samples/sec accuracy=71.059375 loss=1.165248 lr=0.001000 Epoch[042] Batch [0549]/[3760] Speed: 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lr=0.001000 Epoch[042] Batch [2949]/[3760] Speed: 35.472955 samples/sec accuracy=71.437500 loss=1.154333 lr=0.001000 Epoch[042] Batch [2999]/[3760] Speed: 34.833741 samples/sec accuracy=71.420313 loss=1.155302 lr=0.001000 Epoch[042] Batch [3049]/[3760] Speed: 35.464209 samples/sec accuracy=71.427254 loss=1.155636 lr=0.001000 Epoch[042] Batch [3099]/[3760] Speed: 34.936494 samples/sec accuracy=71.427419 loss=1.155812 lr=0.001000 Epoch[042] Batch [3149]/[3760] Speed: 35.295124 samples/sec accuracy=71.437500 loss=1.155448 lr=0.001000 Epoch[042] Batch [3199]/[3760] Speed: 35.192493 samples/sec accuracy=71.437988 loss=1.155329 lr=0.001000 Epoch[042] Batch [3249]/[3760] Speed: 35.411257 samples/sec accuracy=71.429808 loss=1.155596 lr=0.001000 Epoch[042] Batch [3299]/[3760] Speed: 35.214640 samples/sec accuracy=71.437500 loss=1.155450 lr=0.001000 Epoch[042] Batch [3349]/[3760] Speed: 35.341502 samples/sec accuracy=71.436101 loss=1.155393 lr=0.001000 Epoch[042] Batch [3399]/[3760] Speed: 35.160670 samples/sec accuracy=71.424632 loss=1.156004 lr=0.001000 Epoch[042] Batch [3449]/[3760] Speed: 35.295316 samples/sec accuracy=71.425725 loss=1.156484 lr=0.001000 Epoch[042] Batch [3499]/[3760] Speed: 35.020332 samples/sec accuracy=71.437054 loss=1.156484 lr=0.001000 Epoch[042] Batch [3549]/[3760] Speed: 35.252000 samples/sec accuracy=71.431778 loss=1.157134 lr=0.001000 Epoch[042] Batch [3599]/[3760] Speed: 34.943547 samples/sec accuracy=71.453559 loss=1.156476 lr=0.001000 Epoch[042] Batch [3649]/[3760] Speed: 35.235781 samples/sec accuracy=71.446062 loss=1.156373 lr=0.001000 Epoch[042] Batch [3699]/[3760] Speed: 35.132728 samples/sec accuracy=71.444257 loss=1.156552 lr=0.001000 Epoch[042] Batch [3749]/[3760] Speed: 36.394226 samples/sec accuracy=71.444583 loss=1.156161 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.125000 acc-top5=85.656250 Batch [0099]/[0303]: acc-top1=65.609375 acc-top5=85.453125 Batch [0149]/[0303]: acc-top1=65.687500 acc-top5=85.625000 Batch [0199]/[0303]: acc-top1=65.578125 acc-top5=85.585938 Batch [0249]/[0303]: acc-top1=65.212500 acc-top5=85.368750 Batch [0299]/[0303]: acc-top1=65.145833 acc-top5=85.375000 [Epoch 042] training: accuracy=71.454870 loss=1.155799 [Epoch 042] speed: 34 samples/sec time cost: 7388.799814 [Epoch 042] validation: acc-top1=65.155734 acc-top5=85.380569 loss=1.627547 Epoch[043] Batch [0049]/[3759] Speed: 24.262917 samples/sec accuracy=71.156250 loss=1.148655 lr=0.001000 Epoch[043] Batch [0099]/[3759] Speed: 35.069283 samples/sec accuracy=72.109375 loss=1.117640 lr=0.001000 Epoch[043] Batch [0149]/[3759] Speed: 34.823219 samples/sec accuracy=72.468750 loss=1.105354 lr=0.001000 Epoch[043] Batch [0199]/[3759] Speed: 35.024643 samples/sec accuracy=72.437500 loss=1.108535 lr=0.001000 Epoch[043] Batch [0249]/[3759] Speed: 35.278436 samples/sec accuracy=72.306250 loss=1.106498 lr=0.001000 Epoch[043] Batch [0299]/[3759] Speed: 34.997715 samples/sec accuracy=72.270833 loss=1.105186 lr=0.001000 Epoch[043] Batch 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accuracy=72.058594 loss=1.120816 lr=0.001000 Epoch[043] Batch [0849]/[3759] Speed: 35.462516 samples/sec accuracy=72.113971 loss=1.120591 lr=0.001000 Epoch[043] Batch [0899]/[3759] Speed: 35.049542 samples/sec accuracy=72.076389 loss=1.121710 lr=0.001000 Epoch[043] Batch [0949]/[3759] Speed: 35.506977 samples/sec accuracy=72.057566 loss=1.122845 lr=0.001000 Epoch[043] Batch [0999]/[3759] Speed: 34.999820 samples/sec accuracy=72.104687 loss=1.122214 lr=0.001000 Epoch[043] Batch [1049]/[3759] Speed: 35.350117 samples/sec accuracy=72.156250 loss=1.121633 lr=0.001000 Epoch[043] Batch [1099]/[3759] Speed: 35.072472 samples/sec accuracy=72.173295 loss=1.121512 lr=0.001000 Epoch[043] Batch [1149]/[3759] Speed: 35.241874 samples/sec accuracy=72.226902 loss=1.120135 lr=0.001000 Epoch[043] Batch [1199]/[3759] Speed: 34.947458 samples/sec accuracy=72.255208 loss=1.118911 lr=0.001000 Epoch[043] Batch [1249]/[3759] Speed: 34.974923 samples/sec accuracy=72.250000 loss=1.118448 lr=0.001000 Epoch[043] 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accuracy=72.251786 loss=1.120304 lr=0.001000 Epoch[043] Batch [1799]/[3759] Speed: 35.249238 samples/sec accuracy=72.219618 loss=1.121148 lr=0.001000 Epoch[043] Batch [1849]/[3759] Speed: 34.907727 samples/sec accuracy=72.213682 loss=1.122061 lr=0.001000 Epoch[043] Batch [1899]/[3759] Speed: 35.280417 samples/sec accuracy=72.200658 loss=1.122293 lr=0.001000 Epoch[043] Batch [1949]/[3759] Speed: 35.027582 samples/sec accuracy=72.206731 loss=1.122670 lr=0.001000 Epoch[043] Batch [1999]/[3759] Speed: 35.153310 samples/sec accuracy=72.211719 loss=1.121889 lr=0.001000 Epoch[043] Batch [2049]/[3759] Speed: 35.135963 samples/sec accuracy=72.212652 loss=1.120837 lr=0.001000 Epoch[043] Batch [2099]/[3759] Speed: 34.897958 samples/sec accuracy=72.206101 loss=1.121986 lr=0.001000 Epoch[043] Batch [2149]/[3759] Speed: 35.348472 samples/sec accuracy=72.226017 loss=1.122680 lr=0.001000 Epoch[043] Batch [2199]/[3759] Speed: 34.984356 samples/sec accuracy=72.234375 loss=1.122669 lr=0.001000 Epoch[043] 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accuracy=72.230903 loss=1.124744 lr=0.001000 Epoch[043] Batch [2749]/[3759] Speed: 35.032219 samples/sec accuracy=72.235227 loss=1.124580 lr=0.001000 Epoch[043] Batch [2799]/[3759] Speed: 35.303248 samples/sec accuracy=72.232701 loss=1.125360 lr=0.001000 Epoch[043] Batch [2849]/[3759] Speed: 34.978881 samples/sec accuracy=72.231360 loss=1.125414 lr=0.001000 Epoch[043] Batch [2899]/[3759] Speed: 35.260838 samples/sec accuracy=72.198276 loss=1.126106 lr=0.001000 Epoch[043] Batch [2949]/[3759] Speed: 34.856466 samples/sec accuracy=72.184322 loss=1.126610 lr=0.001000 Epoch[043] Batch [2999]/[3759] Speed: 35.424602 samples/sec accuracy=72.186979 loss=1.126369 lr=0.001000 Epoch[043] Batch [3049]/[3759] Speed: 34.563882 samples/sec accuracy=72.183402 loss=1.126800 lr=0.001000 Epoch[043] Batch [3099]/[3759] Speed: 35.189638 samples/sec accuracy=72.182964 loss=1.126586 lr=0.001000 Epoch[043] Batch [3149]/[3759] Speed: 34.629806 samples/sec accuracy=72.172123 loss=1.126968 lr=0.001000 Epoch[043] Batch [3199]/[3759] Speed: 35.288417 samples/sec accuracy=72.169922 loss=1.126647 lr=0.001000 Epoch[043] Batch [3249]/[3759] Speed: 35.088530 samples/sec accuracy=72.174519 loss=1.126364 lr=0.001000 Epoch[043] Batch [3299]/[3759] Speed: 34.986289 samples/sec accuracy=72.178030 loss=1.126345 lr=0.001000 Epoch[043] Batch [3349]/[3759] Speed: 35.257681 samples/sec accuracy=72.175373 loss=1.125686 lr=0.001000 Epoch[043] Batch [3399]/[3759] Speed: 35.030537 samples/sec accuracy=72.185662 loss=1.124917 lr=0.001000 Epoch[043] Batch [3449]/[3759] Speed: 35.125650 samples/sec accuracy=72.173913 loss=1.124815 lr=0.001000 Epoch[043] Batch [3499]/[3759] Speed: 34.969305 samples/sec accuracy=72.163839 loss=1.125124 lr=0.001000 Epoch[043] Batch [3549]/[3759] Speed: 35.189874 samples/sec accuracy=72.163732 loss=1.125485 lr=0.001000 Epoch[043] Batch [3599]/[3759] Speed: 34.699368 samples/sec accuracy=72.189236 loss=1.124827 lr=0.001000 Epoch[043] Batch [3649]/[3759] Speed: 35.222350 samples/sec accuracy=72.205051 loss=1.124034 lr=0.001000 Epoch[043] Batch [3699]/[3759] Speed: 34.649198 samples/sec accuracy=72.214105 loss=1.123813 lr=0.001000 Epoch[043] Batch [3749]/[3759] Speed: 36.458264 samples/sec accuracy=72.187500 loss=1.124202 lr=0.001000 Batch [0049]/[0303]: acc-top1=65.718750 acc-top5=85.781250 Batch [0099]/[0303]: acc-top1=65.234375 acc-top5=85.265625 Batch [0149]/[0303]: acc-top1=65.645833 acc-top5=85.479167 Batch [0199]/[0303]: acc-top1=65.554688 acc-top5=85.453125 Batch [0249]/[0303]: acc-top1=65.393750 acc-top5=85.281250 Batch [0299]/[0303]: acc-top1=65.276042 acc-top5=85.255208 [Epoch 043] training: accuracy=72.185089 loss=1.124298 [Epoch 043] speed: 34 samples/sec time cost: 7363.448868 [Epoch 043] validation: acc-top1=65.243399 acc-top5=85.272277 loss=1.629479 Epoch[044] Batch [0049]/[3760] Speed: 24.787090 samples/sec accuracy=71.281250 loss=1.130905 lr=0.001000 Epoch[044] Batch [0099]/[3760] Speed: 35.147550 samples/sec accuracy=71.609375 loss=1.129974 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lr=0.001000 Epoch[044] Batch [2999]/[3760] Speed: 35.364246 samples/sec accuracy=72.496354 loss=1.107919 lr=0.001000 Epoch[044] Batch [3049]/[3760] Speed: 34.891875 samples/sec accuracy=72.502049 loss=1.107822 lr=0.001000 Epoch[044] Batch [3099]/[3760] Speed: 35.382501 samples/sec accuracy=72.490423 loss=1.107834 lr=0.001000 Epoch[044] Batch [3149]/[3760] Speed: 34.827104 samples/sec accuracy=72.488591 loss=1.108505 lr=0.001000 Epoch[044] Batch [3199]/[3760] Speed: 35.396636 samples/sec accuracy=72.482422 loss=1.109104 lr=0.001000 Epoch[044] Batch [3249]/[3760] Speed: 35.256340 samples/sec accuracy=72.482692 loss=1.109054 lr=0.001000 Epoch[044] Batch [3299]/[3760] Speed: 35.375186 samples/sec accuracy=72.472064 loss=1.109198 lr=0.001000 Epoch[044] Batch [3349]/[3760] Speed: 35.214243 samples/sec accuracy=72.465485 loss=1.109404 lr=0.001000 Epoch[044] Batch [3399]/[3760] Speed: 35.317114 samples/sec accuracy=72.477941 loss=1.109716 lr=0.001000 Epoch[044] Batch [3449]/[3760] Speed: 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[0299]/[0303]: acc-top1=65.520833 acc-top5=85.348958 [Epoch 044] training: accuracy=72.464678 loss=1.110181 [Epoch 044] speed: 34 samples/sec time cost: 7346.862277 [Epoch 044] validation: acc-top1=65.516708 acc-top5=85.375413 loss=1.605682 Epoch[045] Batch [0049]/[3760] Speed: 24.863336 samples/sec accuracy=72.000000 loss=1.093008 lr=0.001000 Epoch[045] Batch [0099]/[3760] Speed: 35.127171 samples/sec accuracy=71.890625 loss=1.107295 lr=0.001000 Epoch[045] Batch [0149]/[3760] Speed: 35.027766 samples/sec accuracy=72.427083 loss=1.092795 lr=0.001000 Epoch[045] Batch [0199]/[3760] Speed: 35.238403 samples/sec accuracy=72.906250 loss=1.075650 lr=0.001000 Epoch[045] Batch [0249]/[3760] Speed: 35.049396 samples/sec accuracy=72.968750 loss=1.076987 lr=0.001000 Epoch[045] Batch [0299]/[3760] Speed: 34.774181 samples/sec accuracy=72.921875 loss=1.076097 lr=0.001000 Epoch[045] Batch [0349]/[3760] Speed: 35.106846 samples/sec accuracy=72.928571 loss=1.076127 lr=0.001000 Epoch[045] Batch 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accuracy=73.235294 loss=1.078775 lr=0.001000 Epoch[045] Batch [0899]/[3760] Speed: 35.180946 samples/sec accuracy=73.199653 loss=1.078657 lr=0.001000 Epoch[045] Batch [0949]/[3760] Speed: 35.025692 samples/sec accuracy=73.159539 loss=1.077963 lr=0.001000 Epoch[045] Batch [0999]/[3760] Speed: 35.193548 samples/sec accuracy=73.210938 loss=1.075990 lr=0.001000 Epoch[045] Batch [1049]/[3760] Speed: 34.839087 samples/sec accuracy=73.172619 loss=1.076361 lr=0.001000 Epoch[045] Batch [1099]/[3760] Speed: 35.398375 samples/sec accuracy=73.214489 loss=1.075558 lr=0.001000 Epoch[045] Batch [1149]/[3760] Speed: 34.847256 samples/sec accuracy=73.235054 loss=1.076827 lr=0.001000 Epoch[045] Batch [1199]/[3760] Speed: 35.252878 samples/sec accuracy=73.157552 loss=1.080295 lr=0.001000 Epoch[045] Batch [1249]/[3760] Speed: 34.545696 samples/sec accuracy=73.140000 loss=1.082418 lr=0.001000 Epoch[045] Batch [1299]/[3760] Speed: 35.152406 samples/sec accuracy=73.112981 loss=1.084394 lr=0.001000 Epoch[045] 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accuracy=73.131944 loss=1.082517 lr=0.001000 Epoch[045] Batch [1849]/[3760] Speed: 35.332264 samples/sec accuracy=73.141892 loss=1.081783 lr=0.001000 Epoch[045] Batch [1899]/[3760] Speed: 34.978836 samples/sec accuracy=73.171053 loss=1.080726 lr=0.001000 Epoch[045] Batch [1949]/[3760] Speed: 35.357320 samples/sec accuracy=73.170673 loss=1.080195 lr=0.001000 Epoch[045] Batch [1999]/[3760] Speed: 34.850006 samples/sec accuracy=73.142188 loss=1.081395 lr=0.001000 Epoch[045] Batch [2049]/[3760] Speed: 35.372112 samples/sec accuracy=73.115854 loss=1.082520 lr=0.001000 Epoch[045] Batch [2099]/[3760] Speed: 34.838770 samples/sec accuracy=73.104167 loss=1.082309 lr=0.001000 Epoch[045] Batch [2149]/[3760] Speed: 35.259581 samples/sec accuracy=73.067587 loss=1.084424 lr=0.001000 Epoch[045] Batch [2199]/[3760] Speed: 35.003138 samples/sec accuracy=73.073864 loss=1.084581 lr=0.001000 Epoch[045] Batch [2249]/[3760] Speed: 35.139402 samples/sec accuracy=73.068750 loss=1.085397 lr=0.001000 Epoch[045] 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accuracy=73.010795 loss=1.088105 lr=0.001000 Epoch[045] Batch [2799]/[3760] Speed: 35.248260 samples/sec accuracy=73.006696 loss=1.088303 lr=0.001000 Epoch[045] Batch [2849]/[3760] Speed: 35.426911 samples/sec accuracy=73.032895 loss=1.087859 lr=0.001000 Epoch[045] Batch [2899]/[3760] Speed: 35.292604 samples/sec accuracy=73.006466 loss=1.088585 lr=0.001000 Epoch[045] Batch [2949]/[3760] Speed: 35.379890 samples/sec accuracy=73.016419 loss=1.088008 lr=0.001000 Epoch[045] Batch [2999]/[3760] Speed: 35.167968 samples/sec accuracy=73.023958 loss=1.087946 lr=0.001000 Epoch[045] Batch [3049]/[3760] Speed: 35.341531 samples/sec accuracy=73.006660 loss=1.088865 lr=0.001000 Epoch[045] Batch [3099]/[3760] Speed: 35.251901 samples/sec accuracy=73.017137 loss=1.088000 lr=0.001000 Epoch[045] Batch [3149]/[3760] Speed: 35.025686 samples/sec accuracy=73.024802 loss=1.087871 lr=0.001000 Epoch[045] Batch [3199]/[3760] Speed: 35.235751 samples/sec accuracy=73.015625 loss=1.088523 lr=0.001000 Epoch[045] Batch [3249]/[3760] Speed: 34.715616 samples/sec accuracy=73.028365 loss=1.088191 lr=0.001000 Epoch[045] Batch [3299]/[3760] Speed: 35.265417 samples/sec accuracy=73.032197 loss=1.087716 lr=0.001000 Epoch[045] Batch [3349]/[3760] Speed: 34.584676 samples/sec accuracy=73.014459 loss=1.088057 lr=0.001000 Epoch[045] Batch [3399]/[3760] Speed: 35.334678 samples/sec accuracy=73.009651 loss=1.088258 lr=0.001000 Epoch[045] Batch [3449]/[3760] Speed: 34.740869 samples/sec accuracy=73.002717 loss=1.088727 lr=0.001000 Epoch[045] Batch [3499]/[3760] Speed: 35.169299 samples/sec accuracy=73.005357 loss=1.089044 lr=0.001000 Epoch[045] Batch [3549]/[3760] Speed: 34.831870 samples/sec accuracy=73.006162 loss=1.089004 lr=0.001000 Epoch[045] Batch [3599]/[3760] Speed: 35.107184 samples/sec accuracy=72.999566 loss=1.089133 lr=0.001000 Epoch[045] Batch [3649]/[3760] Speed: 34.812646 samples/sec accuracy=72.983305 loss=1.089751 lr=0.001000 Epoch[045] Batch [3699]/[3760] Speed: 35.073123 samples/sec accuracy=72.990287 loss=1.089572 lr=0.001000 Epoch[045] Batch [3749]/[3760] Speed: 36.304198 samples/sec accuracy=72.993333 loss=1.089358 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.781250 acc-top5=86.125000 Batch [0099]/[0303]: acc-top1=66.000000 acc-top5=85.328125 Batch [0149]/[0303]: acc-top1=66.166667 acc-top5=85.572917 Batch [0199]/[0303]: acc-top1=65.984375 acc-top5=85.539062 Batch [0249]/[0303]: acc-top1=65.731250 acc-top5=85.412500 Batch [0299]/[0303]: acc-top1=65.713542 acc-top5=85.427083 [Epoch 045] training: accuracy=72.994099 loss=1.089425 [Epoch 045] speed: 34 samples/sec time cost: 7357.832250 [Epoch 045] validation: acc-top1=65.686881 acc-top5=85.432137 loss=1.610307 Epoch[046] Batch [0049]/[3759] Speed: 24.650047 samples/sec accuracy=73.500000 loss=1.062085 lr=0.001000 Epoch[046] Batch [0099]/[3759] Speed: 35.052852 samples/sec accuracy=73.531250 loss=1.063567 lr=0.001000 Epoch[046] Batch [0149]/[3759] Speed: 34.838283 samples/sec accuracy=73.604167 loss=1.063306 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35.256577 samples/sec accuracy=73.468750 loss=1.063683 lr=0.001000 Epoch[046] Batch [0699]/[3759] Speed: 35.011108 samples/sec accuracy=73.520089 loss=1.063623 lr=0.001000 Epoch[046] Batch [0749]/[3759] Speed: 35.224900 samples/sec accuracy=73.452083 loss=1.067133 lr=0.001000 Epoch[046] Batch [0799]/[3759] Speed: 34.863931 samples/sec accuracy=73.460938 loss=1.067883 lr=0.001000 Epoch[046] Batch [0849]/[3759] Speed: 35.242335 samples/sec accuracy=73.439338 loss=1.068151 lr=0.001000 Epoch[046] Batch [0899]/[3759] Speed: 35.372072 samples/sec accuracy=73.454861 loss=1.068217 lr=0.001000 Epoch[046] Batch [0949]/[3759] Speed: 35.112141 samples/sec accuracy=73.366776 loss=1.070348 lr=0.001000 Epoch[046] Batch [0999]/[3759] Speed: 35.362515 samples/sec accuracy=73.353125 loss=1.069499 lr=0.001000 Epoch[046] Batch [1049]/[3759] Speed: 35.005155 samples/sec accuracy=73.349702 loss=1.070237 lr=0.001000 Epoch[046] Batch [1099]/[3759] Speed: 35.512798 samples/sec accuracy=73.434659 loss=1.069025 lr=0.001000 Epoch[046] Batch [1149]/[3759] Speed: 35.091999 samples/sec accuracy=73.403533 loss=1.070262 lr=0.001000 Epoch[046] Batch [1199]/[3759] Speed: 35.347513 samples/sec accuracy=73.430990 loss=1.069308 lr=0.001000 Epoch[046] Batch [1249]/[3759] Speed: 35.142300 samples/sec accuracy=73.393750 loss=1.071168 lr=0.001000 Epoch[046] Batch [1299]/[3759] Speed: 35.344182 samples/sec accuracy=73.382212 loss=1.071924 lr=0.001000 Epoch[046] Batch [1349]/[3759] Speed: 35.423181 samples/sec accuracy=73.355324 loss=1.074007 lr=0.001000 Epoch[046] Batch [1399]/[3759] Speed: 35.240176 samples/sec accuracy=73.342634 loss=1.073625 lr=0.001000 Epoch[046] Batch [1449]/[3759] Speed: 35.300476 samples/sec accuracy=73.331897 loss=1.073723 lr=0.001000 Epoch[046] Batch [1499]/[3759] Speed: 35.335401 samples/sec accuracy=73.343750 loss=1.072071 lr=0.001000 Epoch[046] Batch [1549]/[3759] Speed: 35.426396 samples/sec accuracy=73.370968 loss=1.071435 lr=0.001000 Epoch[046] Batch [1599]/[3759] Speed: 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lr=0.001000 Epoch[046] Batch [2099]/[3759] Speed: 35.313377 samples/sec accuracy=73.307292 loss=1.074624 lr=0.001000 Epoch[046] Batch [2149]/[3759] Speed: 34.466238 samples/sec accuracy=73.319041 loss=1.073651 lr=0.001000 Epoch[046] Batch [2199]/[3759] Speed: 35.454622 samples/sec accuracy=73.311790 loss=1.073093 lr=0.001000 Epoch[046] Batch [2249]/[3759] Speed: 34.797770 samples/sec accuracy=73.292361 loss=1.073074 lr=0.001000 Epoch[046] Batch [2299]/[3759] Speed: 35.081696 samples/sec accuracy=73.287364 loss=1.073040 lr=0.001000 Epoch[046] Batch [2349]/[3759] Speed: 34.821976 samples/sec accuracy=73.290559 loss=1.072754 lr=0.001000 Epoch[046] Batch [2399]/[3759] Speed: 34.798250 samples/sec accuracy=73.297526 loss=1.072736 lr=0.001000 Epoch[046] Batch [2449]/[3759] Speed: 35.086813 samples/sec accuracy=73.286352 loss=1.072730 lr=0.001000 Epoch[046] Batch [2499]/[3759] Speed: 34.657045 samples/sec accuracy=73.266875 loss=1.073712 lr=0.001000 Epoch[046] Batch [2549]/[3759] Speed: 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lr=0.001000 Epoch[046] Batch [3049]/[3759] Speed: 34.965921 samples/sec accuracy=73.298156 loss=1.073942 lr=0.001000 Epoch[046] Batch [3099]/[3759] Speed: 35.273680 samples/sec accuracy=73.273690 loss=1.074439 lr=0.001000 Epoch[046] Batch [3149]/[3759] Speed: 34.686626 samples/sec accuracy=73.285218 loss=1.074337 lr=0.001000 Epoch[046] Batch [3199]/[3759] Speed: 35.403716 samples/sec accuracy=73.270996 loss=1.074953 lr=0.001000 Epoch[046] Batch [3249]/[3759] Speed: 34.580648 samples/sec accuracy=73.277404 loss=1.075114 lr=0.001000 Epoch[046] Batch [3299]/[3759] Speed: 35.367800 samples/sec accuracy=73.304451 loss=1.074109 lr=0.001000 Epoch[046] Batch [3349]/[3759] Speed: 34.592952 samples/sec accuracy=73.298507 loss=1.074415 lr=0.001000 Epoch[046] Batch [3399]/[3759] Speed: 35.177747 samples/sec accuracy=73.295956 loss=1.074416 lr=0.001000 Epoch[046] Batch [3449]/[3759] Speed: 35.028486 samples/sec accuracy=73.314764 loss=1.073910 lr=0.001000 Epoch[046] Batch [3499]/[3759] Speed: 35.104077 samples/sec accuracy=73.313839 loss=1.074041 lr=0.001000 Epoch[046] Batch [3549]/[3759] Speed: 35.113892 samples/sec accuracy=73.323504 loss=1.073699 lr=0.001000 Epoch[046] Batch [3599]/[3759] Speed: 35.012907 samples/sec accuracy=73.322049 loss=1.073707 lr=0.001000 Epoch[046] Batch [3649]/[3759] Speed: 35.330471 samples/sec accuracy=73.339897 loss=1.072850 lr=0.001000 Epoch[046] Batch [3699]/[3759] Speed: 34.801665 samples/sec accuracy=73.345861 loss=1.072319 lr=0.001000 Epoch[046] Batch [3749]/[3759] Speed: 36.858569 samples/sec accuracy=73.333750 loss=1.072723 lr=0.001000 Batch [0049]/[0303]: acc-top1=65.906250 acc-top5=86.093750 Batch [0099]/[0303]: acc-top1=65.843750 acc-top5=85.562500 Batch [0149]/[0303]: acc-top1=66.083333 acc-top5=85.541667 Batch [0199]/[0303]: acc-top1=65.906250 acc-top5=85.570312 Batch [0249]/[0303]: acc-top1=65.706250 acc-top5=85.431250 Batch [0299]/[0303]: acc-top1=65.682292 acc-top5=85.458333 [Epoch 046] training: accuracy=73.341065 loss=1.072382 [Epoch 046] speed: 34 samples/sec time cost: 7356.062986 [Epoch 046] validation: acc-top1=65.661097 acc-top5=85.463078 loss=1.588929 Epoch[047] Batch [0049]/[3760] Speed: 25.295466 samples/sec accuracy=74.093750 loss=1.022602 lr=0.001000 Epoch[047] Batch [0099]/[3760] Speed: 35.043236 samples/sec accuracy=73.781250 loss=1.043173 lr=0.001000 Epoch[047] Batch [0149]/[3760] Speed: 34.855107 samples/sec accuracy=73.687500 loss=1.054882 lr=0.001000 Epoch[047] Batch [0199]/[3760] Speed: 34.933253 samples/sec accuracy=73.742188 loss=1.058161 lr=0.001000 Epoch[047] Batch [0249]/[3760] Speed: 35.164796 samples/sec accuracy=73.468750 loss=1.068360 lr=0.001000 Epoch[047] Batch [0299]/[3760] Speed: 35.165974 samples/sec accuracy=73.427083 loss=1.069998 lr=0.001000 Epoch[047] Batch [0349]/[3760] Speed: 35.322950 samples/sec accuracy=73.468750 loss=1.072147 lr=0.001000 Epoch[047] Batch [0399]/[3760] Speed: 34.928827 samples/sec accuracy=73.496094 loss=1.074007 lr=0.001000 Epoch[047] Batch 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accuracy=73.519097 loss=1.064436 lr=0.001000 Epoch[047] Batch [0949]/[3760] Speed: 35.031762 samples/sec accuracy=73.478618 loss=1.066046 lr=0.001000 Epoch[047] Batch [0999]/[3760] Speed: 35.554312 samples/sec accuracy=73.503125 loss=1.064228 lr=0.001000 Epoch[047] Batch [1049]/[3760] Speed: 35.189448 samples/sec accuracy=73.507440 loss=1.065242 lr=0.001000 Epoch[047] Batch [1099]/[3760] Speed: 35.483883 samples/sec accuracy=73.612216 loss=1.061821 lr=0.001000 Epoch[047] Batch [1149]/[3760] Speed: 34.991033 samples/sec accuracy=73.682065 loss=1.060636 lr=0.001000 Epoch[047] Batch [1199]/[3760] Speed: 35.549397 samples/sec accuracy=73.730469 loss=1.059473 lr=0.001000 Epoch[047] Batch [1249]/[3760] Speed: 34.989002 samples/sec accuracy=73.688750 loss=1.060965 lr=0.001000 Epoch[047] Batch [1299]/[3760] Speed: 35.595652 samples/sec accuracy=73.698317 loss=1.060446 lr=0.001000 Epoch[047] Batch [1349]/[3760] Speed: 34.982437 samples/sec accuracy=73.702546 loss=1.059797 lr=0.001000 Epoch[047] Batch [1399]/[3760] Speed: 35.406384 samples/sec accuracy=73.713170 loss=1.060016 lr=0.001000 Epoch[047] Batch [1449]/[3760] Speed: 35.216671 samples/sec accuracy=73.673491 loss=1.061501 lr=0.001000 Epoch[047] Batch [1499]/[3760] Speed: 35.497562 samples/sec accuracy=73.686458 loss=1.062159 lr=0.001000 Epoch[047] Batch [1549]/[3760] Speed: 34.985677 samples/sec accuracy=73.721774 loss=1.060846 lr=0.001000 Epoch[047] Batch [1599]/[3760] Speed: 35.391123 samples/sec accuracy=73.690430 loss=1.061511 lr=0.001000 Epoch[047] Batch [1649]/[3760] Speed: 34.945951 samples/sec accuracy=73.675189 loss=1.061941 lr=0.001000 Epoch[047] Batch [1699]/[3760] Speed: 35.249105 samples/sec accuracy=73.690257 loss=1.060558 lr=0.001000 Epoch[047] Batch [1749]/[3760] Speed: 34.976060 samples/sec accuracy=73.702679 loss=1.060586 lr=0.001000 Epoch[047] Batch [1799]/[3760] Speed: 35.242575 samples/sec accuracy=73.669271 loss=1.061437 lr=0.001000 Epoch[047] Batch [1849]/[3760] Speed: 34.917100 samples/sec accuracy=73.652872 loss=1.061835 lr=0.001000 Epoch[047] Batch [1899]/[3760] Speed: 34.936615 samples/sec accuracy=73.640625 loss=1.062622 lr=0.001000 Epoch[047] Batch [1949]/[3760] Speed: 34.941613 samples/sec accuracy=73.637019 loss=1.062631 lr=0.001000 Epoch[047] Batch [1999]/[3760] Speed: 34.888309 samples/sec accuracy=73.674219 loss=1.060505 lr=0.001000 Epoch[047] Batch [2049]/[3760] Speed: 35.298655 samples/sec accuracy=73.628811 loss=1.061492 lr=0.001000 Epoch[047] Batch [2099]/[3760] Speed: 34.631993 samples/sec accuracy=73.621280 loss=1.061679 lr=0.001000 Epoch[047] Batch [2149]/[3760] Speed: 35.461961 samples/sec accuracy=73.619913 loss=1.061858 lr=0.001000 Epoch[047] Batch [2199]/[3760] Speed: 34.910342 samples/sec accuracy=73.612216 loss=1.062771 lr=0.001000 Epoch[047] Batch [2249]/[3760] Speed: 35.495980 samples/sec accuracy=73.592361 loss=1.063201 lr=0.001000 Epoch[047] Batch [2299]/[3760] Speed: 35.241826 samples/sec accuracy=73.606658 loss=1.062337 lr=0.001000 Epoch[047] 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accuracy=73.650670 loss=1.060655 lr=0.001000 Epoch[047] Batch [2849]/[3760] Speed: 34.243115 samples/sec accuracy=73.654605 loss=1.060475 lr=0.001000 Epoch[047] Batch [2899]/[3760] Speed: 34.885711 samples/sec accuracy=73.668103 loss=1.059942 lr=0.001000 Epoch[047] Batch [2949]/[3760] Speed: 34.924110 samples/sec accuracy=73.664195 loss=1.060288 lr=0.001000 Epoch[047] Batch [2999]/[3760] Speed: 34.861615 samples/sec accuracy=73.646354 loss=1.060736 lr=0.001000 Epoch[047] Batch [3049]/[3760] Speed: 35.130127 samples/sec accuracy=73.652664 loss=1.060565 lr=0.001000 Epoch[047] Batch [3099]/[3760] Speed: 34.759355 samples/sec accuracy=73.661290 loss=1.060463 lr=0.001000 Epoch[047] Batch [3149]/[3760] Speed: 35.326549 samples/sec accuracy=73.667163 loss=1.060721 lr=0.001000 Epoch[047] Batch [3199]/[3760] Speed: 34.659747 samples/sec accuracy=73.661133 loss=1.060949 lr=0.001000 Epoch[047] Batch [3249]/[3760] Speed: 35.369383 samples/sec accuracy=73.657692 loss=1.061225 lr=0.001000 Epoch[047] Batch [3299]/[3760] Speed: 34.696313 samples/sec accuracy=73.666193 loss=1.060727 lr=0.001000 Epoch[047] Batch [3349]/[3760] Speed: 35.291297 samples/sec accuracy=73.685634 loss=1.060422 lr=0.001000 Epoch[047] Batch [3399]/[3760] Speed: 34.780318 samples/sec accuracy=73.674173 loss=1.060617 lr=0.001000 Epoch[047] Batch [3449]/[3760] Speed: 34.921842 samples/sec accuracy=73.651268 loss=1.061299 lr=0.001000 Epoch[047] Batch [3499]/[3760] Speed: 35.054815 samples/sec accuracy=73.650446 loss=1.061321 lr=0.001000 Epoch[047] Batch [3549]/[3760] Speed: 34.737682 samples/sec accuracy=73.663732 loss=1.060796 lr=0.001000 Epoch[047] Batch [3599]/[3760] Speed: 35.216211 samples/sec accuracy=73.657118 loss=1.060857 lr=0.001000 Epoch[047] Batch [3649]/[3760] Speed: 34.591220 samples/sec accuracy=73.653682 loss=1.061076 lr=0.001000 Epoch[047] Batch [3699]/[3760] Speed: 35.292795 samples/sec accuracy=73.686233 loss=1.059865 lr=0.001000 Epoch[047] Batch [3749]/[3760] Speed: 36.088061 samples/sec accuracy=73.694583 loss=1.059886 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.406250 acc-top5=86.062500 Batch [0099]/[0303]: acc-top1=66.062500 acc-top5=85.421875 Batch [0149]/[0303]: acc-top1=66.354167 acc-top5=85.625000 Batch [0199]/[0303]: acc-top1=66.156250 acc-top5=85.648438 Batch [0249]/[0303]: acc-top1=65.912500 acc-top5=85.506250 Batch [0299]/[0303]: acc-top1=65.848958 acc-top5=85.484375 [Epoch 047] training: accuracy=73.689744 loss=1.060094 [Epoch 047] speed: 34 samples/sec time cost: 7359.461948 [Epoch 047] validation: acc-top1=65.862211 acc-top5=85.483705 loss=1.599763 Epoch[048] Batch [0049]/[3760] Speed: 24.005898 samples/sec accuracy=72.968750 loss=1.075915 lr=0.001000 Epoch[048] Batch [0099]/[3760] Speed: 34.991151 samples/sec accuracy=73.234375 loss=1.065720 lr=0.001000 Epoch[048] Batch [0149]/[3760] Speed: 35.013927 samples/sec accuracy=73.562500 loss=1.055808 lr=0.001000 Epoch[048] Batch [0199]/[3760] Speed: 34.841215 samples/sec accuracy=73.671875 loss=1.054284 lr=0.001000 Epoch[048] Batch [0249]/[3760] Speed: 35.093844 samples/sec accuracy=73.681250 loss=1.056921 lr=0.001000 Epoch[048] Batch [0299]/[3760] Speed: 34.834608 samples/sec accuracy=73.875000 loss=1.050712 lr=0.001000 Epoch[048] Batch [0349]/[3760] Speed: 35.370530 samples/sec accuracy=73.888393 loss=1.048293 lr=0.001000 Epoch[048] Batch [0399]/[3760] Speed: 34.740131 samples/sec accuracy=73.960938 loss=1.044592 lr=0.001000 Epoch[048] Batch [0449]/[3760] Speed: 35.377458 samples/sec accuracy=74.076389 loss=1.040894 lr=0.001000 Epoch[048] Batch [0499]/[3760] Speed: 34.671285 samples/sec accuracy=74.146875 loss=1.038427 lr=0.001000 Epoch[048] Batch [0549]/[3760] Speed: 35.323424 samples/sec accuracy=74.213068 loss=1.039856 lr=0.001000 Epoch[048] Batch [0599]/[3760] Speed: 34.779350 samples/sec accuracy=74.260417 loss=1.038010 lr=0.001000 Epoch[048] Batch [0649]/[3760] Speed: 35.214176 samples/sec accuracy=74.225962 loss=1.037485 lr=0.001000 Epoch[048] Batch [0699]/[3760] Speed: 34.753895 samples/sec accuracy=74.180804 loss=1.041236 lr=0.001000 Epoch[048] Batch [0749]/[3760] Speed: 35.247620 samples/sec accuracy=74.264583 loss=1.036749 lr=0.001000 Epoch[048] Batch [0799]/[3760] Speed: 34.990000 samples/sec accuracy=74.289062 loss=1.035929 lr=0.001000 Epoch[048] Batch [0849]/[3760] Speed: 34.944758 samples/sec accuracy=74.227941 loss=1.037508 lr=0.001000 Epoch[048] Batch [0899]/[3760] Speed: 35.139568 samples/sec accuracy=74.230903 loss=1.038330 lr=0.001000 Epoch[048] Batch [0949]/[3760] Speed: 34.838612 samples/sec accuracy=74.236842 loss=1.036139 lr=0.001000 Epoch[048] Batch [0999]/[3760] Speed: 35.200071 samples/sec accuracy=74.262500 loss=1.036953 lr=0.001000 Epoch[048] Batch [1049]/[3760] Speed: 34.744425 samples/sec accuracy=74.254464 loss=1.037383 lr=0.001000 Epoch[048] Batch [1099]/[3760] Speed: 35.241523 samples/sec accuracy=74.211648 loss=1.038531 lr=0.001000 Epoch[048] Batch [1149]/[3760] Speed: 34.764946 samples/sec accuracy=74.180707 loss=1.039651 lr=0.001000 Epoch[048] Batch [1199]/[3760] Speed: 35.323265 samples/sec accuracy=74.183594 loss=1.039594 lr=0.001000 Epoch[048] Batch [1249]/[3760] Speed: 34.914551 samples/sec accuracy=74.190000 loss=1.038809 lr=0.001000 Epoch[048] Batch [1299]/[3760] Speed: 35.420123 samples/sec accuracy=74.157452 loss=1.039758 lr=0.001000 Epoch[048] Batch [1349]/[3760] Speed: 34.903859 samples/sec accuracy=74.135417 loss=1.040555 lr=0.001000 Epoch[048] Batch [1399]/[3760] Speed: 35.199926 samples/sec accuracy=74.125000 loss=1.040577 lr=0.001000 Epoch[048] Batch [1449]/[3760] Speed: 35.014786 samples/sec accuracy=74.091595 loss=1.042836 lr=0.001000 Epoch[048] Batch [1499]/[3760] Speed: 35.008214 samples/sec accuracy=74.048958 loss=1.044053 lr=0.001000 Epoch[048] Batch [1549]/[3760] Speed: 34.913063 samples/sec accuracy=74.122984 loss=1.041746 lr=0.001000 Epoch[048] Batch [1599]/[3760] Speed: 35.005864 samples/sec accuracy=74.083984 loss=1.043087 lr=0.001000 Epoch[048] Batch [1649]/[3760] Speed: 35.224227 samples/sec accuracy=74.071970 loss=1.043541 lr=0.001000 Epoch[048] Batch [1699]/[3760] Speed: 34.860337 samples/sec accuracy=74.068934 loss=1.043136 lr=0.001000 Epoch[048] Batch [1749]/[3760] Speed: 35.264250 samples/sec accuracy=74.099107 loss=1.042968 lr=0.001000 Epoch[048] Batch [1799]/[3760] Speed: 34.819799 samples/sec accuracy=74.105035 loss=1.042699 lr=0.001000 Epoch[048] Batch [1849]/[3760] Speed: 35.247120 samples/sec accuracy=74.088682 loss=1.043199 lr=0.001000 Epoch[048] Batch [1899]/[3760] Speed: 34.872911 samples/sec accuracy=74.039474 loss=1.044751 lr=0.001000 Epoch[048] Batch [1949]/[3760] Speed: 35.435582 samples/sec accuracy=74.039263 loss=1.045733 lr=0.001000 Epoch[048] Batch [1999]/[3760] Speed: 35.017300 samples/sec accuracy=74.029687 loss=1.045665 lr=0.001000 Epoch[048] Batch [2049]/[3760] Speed: 35.291921 samples/sec accuracy=74.041159 loss=1.046754 lr=0.001000 Epoch[048] Batch [2099]/[3760] Speed: 35.233283 samples/sec accuracy=74.023810 loss=1.047872 lr=0.001000 Epoch[048] Batch [2149]/[3760] Speed: 35.395634 samples/sec accuracy=74.039244 loss=1.047448 lr=0.001000 Epoch[048] Batch [2199]/[3760] Speed: 35.052281 samples/sec accuracy=74.028409 loss=1.047835 lr=0.001000 Epoch[048] Batch [2249]/[3760] Speed: 35.246084 samples/sec accuracy=74.047222 loss=1.047147 lr=0.001000 Epoch[048] Batch [2299]/[3760] Speed: 34.972286 samples/sec accuracy=74.057745 loss=1.046713 lr=0.001000 Epoch[048] Batch [2349]/[3760] Speed: 35.476551 samples/sec accuracy=74.064495 loss=1.046681 lr=0.001000 Epoch[048] Batch [2399]/[3760] Speed: 34.978565 samples/sec accuracy=74.049479 loss=1.047275 lr=0.001000 Epoch[048] Batch [2449]/[3760] Speed: 35.051643 samples/sec accuracy=74.014668 loss=1.047869 lr=0.001000 Epoch[048] Batch [2499]/[3760] Speed: 35.013523 samples/sec accuracy=73.994375 loss=1.049058 lr=0.001000 Epoch[048] Batch [2549]/[3760] Speed: 34.870065 samples/sec accuracy=73.979779 loss=1.049704 lr=0.001000 Epoch[048] Batch [2599]/[3760] Speed: 35.294792 samples/sec accuracy=73.966346 loss=1.050096 lr=0.001000 Epoch[048] Batch [2649]/[3760] Speed: 34.895641 samples/sec accuracy=73.991745 loss=1.048689 lr=0.001000 Epoch[048] Batch [2699]/[3760] Speed: 35.241035 samples/sec accuracy=73.996528 loss=1.048270 lr=0.001000 Epoch[048] Batch [2749]/[3760] Speed: 34.869207 samples/sec accuracy=74.015341 loss=1.047641 lr=0.001000 Epoch[048] Batch [2799]/[3760] Speed: 35.440843 samples/sec accuracy=74.007812 loss=1.047539 lr=0.001000 Epoch[048] Batch [2849]/[3760] Speed: 35.033722 samples/sec accuracy=73.978618 loss=1.048934 lr=0.001000 Epoch[048] Batch [2899]/[3760] Speed: 35.446015 samples/sec accuracy=73.979526 loss=1.048605 lr=0.001000 Epoch[048] Batch [2949]/[3760] Speed: 34.873417 samples/sec accuracy=73.969809 loss=1.049525 lr=0.001000 Epoch[048] Batch [2999]/[3760] Speed: 35.215483 samples/sec accuracy=73.976562 loss=1.049241 lr=0.001000 Epoch[048] Batch [3049]/[3760] Speed: 35.030714 samples/sec accuracy=73.957992 loss=1.049723 lr=0.001000 Epoch[048] Batch [3099]/[3760] Speed: 35.346698 samples/sec accuracy=73.959173 loss=1.049787 lr=0.001000 Epoch[048] Batch [3149]/[3760] Speed: 34.996629 samples/sec accuracy=73.949405 loss=1.050115 lr=0.001000 Epoch[048] Batch [3199]/[3760] Speed: 35.248433 samples/sec accuracy=73.941895 loss=1.050718 lr=0.001000 Epoch[048] Batch [3249]/[3760] Speed: 35.170357 samples/sec accuracy=73.926923 loss=1.051271 lr=0.001000 Epoch[048] Batch [3299]/[3760] Speed: 35.043574 samples/sec accuracy=73.933239 loss=1.051243 lr=0.001000 Epoch[048] Batch [3349]/[3760] Speed: 35.490915 samples/sec accuracy=73.942631 loss=1.051076 lr=0.001000 Epoch[048] Batch [3399]/[3760] Speed: 35.199027 samples/sec accuracy=73.943015 loss=1.050843 lr=0.001000 Epoch[048] Batch [3449]/[3760] Speed: 35.392828 samples/sec accuracy=73.932518 loss=1.051258 lr=0.001000 Epoch[048] Batch [3499]/[3760] Speed: 35.288984 samples/sec accuracy=73.941518 loss=1.050825 lr=0.001000 Epoch[048] Batch [3549]/[3760] Speed: 35.347957 samples/sec accuracy=73.946303 loss=1.050377 lr=0.001000 Epoch[048] Batch [3599]/[3760] Speed: 35.328310 samples/sec accuracy=73.975694 loss=1.049705 lr=0.001000 Epoch[048] Batch [3649]/[3760] Speed: 35.424057 samples/sec accuracy=73.973887 loss=1.049801 lr=0.001000 Epoch[048] Batch [3699]/[3760] Speed: 35.241351 samples/sec accuracy=73.972128 loss=1.049703 lr=0.001000 Epoch[048] Batch [3749]/[3760] Speed: 36.418393 samples/sec accuracy=73.959167 loss=1.049713 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.906250 acc-top5=85.656250 Batch [0099]/[0303]: acc-top1=66.046875 acc-top5=85.203125 Batch [0149]/[0303]: acc-top1=66.187500 acc-top5=85.385417 Batch [0199]/[0303]: acc-top1=65.937500 acc-top5=85.414062 Batch [0249]/[0303]: acc-top1=65.693750 acc-top5=85.300000 Batch [0299]/[0303]: acc-top1=65.682292 acc-top5=85.338542 [Epoch 048] training: accuracy=73.957779 loss=1.049838 [Epoch 048] speed: 34 samples/sec time cost: 7356.880799 [Epoch 048] validation: acc-top1=65.650784 acc-top5=85.349629 loss=1.596356 Epoch[049] Batch [0049]/[3759] Speed: 24.543788 samples/sec accuracy=73.968750 loss=1.022196 lr=0.001000 Epoch[049] Batch [0099]/[3759] Speed: 35.039249 samples/sec accuracy=73.906250 loss=1.031547 lr=0.001000 Epoch[049] Batch [0149]/[3759] Speed: 34.921740 samples/sec accuracy=73.302083 loss=1.050717 lr=0.001000 Epoch[049] Batch [0199]/[3759] Speed: 35.115932 samples/sec accuracy=73.539062 loss=1.044554 lr=0.001000 Epoch[049] Batch [0249]/[3759] Speed: 35.191665 samples/sec accuracy=73.381250 loss=1.047532 lr=0.001000 Epoch[049] Batch [0299]/[3759] Speed: 34.945524 samples/sec accuracy=73.723958 loss=1.039013 lr=0.001000 Epoch[049] Batch [0349]/[3759] Speed: 35.300226 samples/sec accuracy=73.812500 loss=1.038976 lr=0.001000 Epoch[049] Batch [0399]/[3759] Speed: 34.767748 samples/sec accuracy=73.816406 loss=1.042896 lr=0.001000 Epoch[049] Batch [0449]/[3759] Speed: 35.143320 samples/sec accuracy=73.760417 loss=1.044473 lr=0.001000 Epoch[049] Batch 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accuracy=74.152961 loss=1.034684 lr=0.001000 Epoch[049] Batch [0999]/[3759] Speed: 35.274815 samples/sec accuracy=74.146875 loss=1.036335 lr=0.001000 Epoch[049] Batch [1049]/[3759] Speed: 35.430207 samples/sec accuracy=74.221726 loss=1.033907 lr=0.001000 Epoch[049] Batch [1099]/[3759] Speed: 35.128931 samples/sec accuracy=74.208807 loss=1.034796 lr=0.001000 Epoch[049] Batch [1149]/[3759] Speed: 35.429407 samples/sec accuracy=74.205163 loss=1.035111 lr=0.001000 Epoch[049] Batch [1199]/[3759] Speed: 35.353932 samples/sec accuracy=74.247396 loss=1.033866 lr=0.001000 Epoch[049] Batch [1249]/[3759] Speed: 35.364734 samples/sec accuracy=74.253750 loss=1.034745 lr=0.001000 Epoch[049] Batch [1299]/[3759] Speed: 35.209907 samples/sec accuracy=74.251202 loss=1.035077 lr=0.001000 Epoch[049] Batch [1349]/[3759] Speed: 35.246170 samples/sec accuracy=74.266204 loss=1.034496 lr=0.001000 Epoch[049] Batch [1399]/[3759] Speed: 35.010606 samples/sec accuracy=74.305804 loss=1.032429 lr=0.001000 Epoch[049] 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accuracy=74.353618 loss=1.033460 lr=0.001000 Epoch[049] Batch [1949]/[3759] Speed: 35.545909 samples/sec accuracy=74.361378 loss=1.033040 lr=0.001000 Epoch[049] Batch [1999]/[3759] Speed: 34.994214 samples/sec accuracy=74.342187 loss=1.033646 lr=0.001000 Epoch[049] Batch [2049]/[3759] Speed: 35.541711 samples/sec accuracy=74.350610 loss=1.033948 lr=0.001000 Epoch[049] Batch [2099]/[3759] Speed: 34.772116 samples/sec accuracy=74.369048 loss=1.033124 lr=0.001000 Epoch[049] Batch [2149]/[3759] Speed: 35.380099 samples/sec accuracy=74.352471 loss=1.033524 lr=0.001000 Epoch[049] Batch [2199]/[3759] Speed: 34.320656 samples/sec accuracy=74.374290 loss=1.032992 lr=0.001000 Epoch[049] Batch [2249]/[3759] Speed: 35.438115 samples/sec accuracy=74.356944 loss=1.033602 lr=0.001000 Epoch[049] Batch [2299]/[3759] Speed: 34.736623 samples/sec accuracy=74.370245 loss=1.033153 lr=0.001000 Epoch[049] Batch [2349]/[3759] Speed: 35.133046 samples/sec accuracy=74.352394 loss=1.033800 lr=0.001000 Epoch[049] 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accuracy=74.353618 loss=1.032595 lr=0.001000 Epoch[049] Batch [2899]/[3759] Speed: 34.964072 samples/sec accuracy=74.360453 loss=1.032427 lr=0.001000 Epoch[049] Batch [2949]/[3759] Speed: 34.916456 samples/sec accuracy=74.367585 loss=1.032388 lr=0.001000 Epoch[049] Batch [2999]/[3759] Speed: 34.849017 samples/sec accuracy=74.355208 loss=1.033390 lr=0.001000 Epoch[049] Batch [3049]/[3759] Speed: 35.188521 samples/sec accuracy=74.349898 loss=1.033021 lr=0.001000 Epoch[049] Batch [3099]/[3759] Speed: 34.350729 samples/sec accuracy=74.364919 loss=1.032891 lr=0.001000 Epoch[049] Batch [3149]/[3759] Speed: 35.241455 samples/sec accuracy=74.368056 loss=1.032906 lr=0.001000 Epoch[049] Batch [3199]/[3759] Speed: 34.469562 samples/sec accuracy=74.372559 loss=1.033285 lr=0.001000 Epoch[049] Batch [3249]/[3759] Speed: 35.192590 samples/sec accuracy=74.372596 loss=1.033243 lr=0.001000 Epoch[049] Batch [3299]/[3759] Speed: 34.701448 samples/sec accuracy=74.350852 loss=1.033437 lr=0.001000 Epoch[049] Batch [3349]/[3759] Speed: 34.947784 samples/sec accuracy=74.365205 loss=1.032829 lr=0.001000 Epoch[049] Batch [3399]/[3759] Speed: 35.054519 samples/sec accuracy=74.358915 loss=1.032888 lr=0.001000 Epoch[049] Batch [3449]/[3759] Speed: 34.720140 samples/sec accuracy=74.355072 loss=1.033247 lr=0.001000 Epoch[049] Batch [3499]/[3759] Speed: 35.182496 samples/sec accuracy=74.350893 loss=1.033397 lr=0.001000 Epoch[049] Batch [3549]/[3759] Speed: 34.449366 samples/sec accuracy=74.351673 loss=1.033170 lr=0.001000 Epoch[049] Batch [3599]/[3759] Speed: 35.272263 samples/sec accuracy=74.354601 loss=1.033106 lr=0.001000 Epoch[049] Batch [3649]/[3759] Speed: 34.487807 samples/sec accuracy=74.366010 loss=1.033031 lr=0.001000 Epoch[049] Batch [3699]/[3759] Speed: 35.140470 samples/sec accuracy=74.351351 loss=1.033146 lr=0.001000 Epoch[049] Batch [3749]/[3759] Speed: 36.194274 samples/sec accuracy=74.337083 loss=1.033814 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.937500 acc-top5=86.031250 Batch [0099]/[0303]: acc-top1=66.296875 acc-top5=85.562500 Batch [0149]/[0303]: acc-top1=66.510417 acc-top5=85.666667 Batch [0199]/[0303]: acc-top1=66.289062 acc-top5=85.679688 Batch [0249]/[0303]: acc-top1=66.075000 acc-top5=85.543750 Batch [0299]/[0303]: acc-top1=65.937500 acc-top5=85.572917 [Epoch 049] training: accuracy=74.332020 loss=1.033812 [Epoch 049] speed: 34 samples/sec time cost: 7350.927100 [Epoch 049] validation: acc-top1=65.934406 acc-top5=85.571370 loss=1.598309 Epoch[050] Batch [0049]/[3760] Speed: 24.666834 samples/sec accuracy=74.156250 loss=1.017564 lr=0.001000 Epoch[050] Batch [0099]/[3760] Speed: 35.071355 samples/sec accuracy=74.500000 loss=1.005829 lr=0.001000 Epoch[050] Batch [0149]/[3760] Speed: 35.128323 samples/sec accuracy=74.416667 loss=1.019794 lr=0.001000 Epoch[050] Batch [0199]/[3760] Speed: 35.312722 samples/sec accuracy=74.500000 loss=1.018769 lr=0.001000 Epoch[050] Batch [0249]/[3760] Speed: 35.133223 samples/sec accuracy=74.462500 loss=1.023173 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lr=0.001000 Epoch[050] Batch [3149]/[3760] Speed: 35.000033 samples/sec accuracy=74.608631 loss=1.022083 lr=0.001000 Epoch[050] Batch [3199]/[3760] Speed: 34.845004 samples/sec accuracy=74.614258 loss=1.021822 lr=0.001000 Epoch[050] Batch [3249]/[3760] Speed: 35.249907 samples/sec accuracy=74.603365 loss=1.021916 lr=0.001000 Epoch[050] Batch [3299]/[3760] Speed: 34.950146 samples/sec accuracy=74.591383 loss=1.022776 lr=0.001000 Epoch[050] Batch [3349]/[3760] Speed: 35.410855 samples/sec accuracy=74.562966 loss=1.023359 lr=0.001000 Epoch[050] Batch [3399]/[3760] Speed: 35.003085 samples/sec accuracy=74.572610 loss=1.022798 lr=0.001000 Epoch[050] Batch [3449]/[3760] Speed: 35.656991 samples/sec accuracy=74.575181 loss=1.022865 lr=0.001000 Epoch[050] Batch [3499]/[3760] Speed: 35.164030 samples/sec accuracy=74.537500 loss=1.023706 lr=0.001000 Epoch[050] Batch [3549]/[3760] Speed: 35.486493 samples/sec accuracy=74.551056 loss=1.023391 lr=0.001000 Epoch[050] Batch [3599]/[3760] Speed: 35.234647 samples/sec accuracy=74.553385 loss=1.023595 lr=0.001000 Epoch[050] Batch [3649]/[3760] Speed: 35.675347 samples/sec accuracy=74.559932 loss=1.023326 lr=0.001000 Epoch[050] Batch [3699]/[3760] Speed: 35.202285 samples/sec accuracy=74.568834 loss=1.023179 lr=0.001000 Epoch[050] Batch [3749]/[3760] Speed: 36.685450 samples/sec accuracy=74.558750 loss=1.023286 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.562500 acc-top5=85.968750 Batch [0099]/[0303]: acc-top1=66.281250 acc-top5=85.468750 Batch [0149]/[0303]: acc-top1=66.427083 acc-top5=85.645833 Batch [0199]/[0303]: acc-top1=66.195312 acc-top5=85.687500 Batch [0249]/[0303]: acc-top1=65.912500 acc-top5=85.525000 Batch [0299]/[0303]: acc-top1=65.859375 acc-top5=85.546875 [Epoch 050] training: accuracy=74.564495 loss=1.023063 [Epoch 050] speed: 34 samples/sec time cost: 7339.621799 [Epoch 050] validation: acc-top1=65.826114 acc-top5=85.540429 loss=1.584776 Epoch[051] Batch [0049]/[3760] Speed: 24.670803 samples/sec accuracy=74.968750 loss=1.024763 lr=0.001000 Epoch[051] Batch [0099]/[3760] Speed: 35.037756 samples/sec accuracy=75.093750 loss=1.012109 lr=0.001000 Epoch[051] Batch [0149]/[3760] Speed: 35.009794 samples/sec accuracy=74.697917 loss=1.020683 lr=0.001000 Epoch[051] Batch [0199]/[3760] Speed: 35.175598 samples/sec accuracy=74.625000 loss=1.017187 lr=0.001000 Epoch[051] Batch [0249]/[3760] Speed: 35.183256 samples/sec accuracy=74.975000 loss=1.008779 lr=0.001000 Epoch[051] Batch [0299]/[3760] Speed: 35.027170 samples/sec accuracy=75.000000 loss=1.012049 lr=0.001000 Epoch[051] Batch [0349]/[3760] Speed: 35.432498 samples/sec accuracy=74.808036 loss=1.018059 lr=0.001000 Epoch[051] Batch [0399]/[3760] Speed: 35.104168 samples/sec accuracy=74.886719 loss=1.011987 lr=0.001000 Epoch[051] Batch [0449]/[3760] Speed: 35.521365 samples/sec accuracy=74.958333 loss=1.010320 lr=0.001000 Epoch[051] Batch [0499]/[3760] Speed: 35.153704 samples/sec accuracy=75.021875 loss=1.005623 lr=0.001000 Epoch[051] 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accuracy=74.850000 loss=1.009137 lr=0.001000 Epoch[051] Batch [1049]/[3760] Speed: 35.296706 samples/sec accuracy=74.782738 loss=1.010641 lr=0.001000 Epoch[051] Batch [1099]/[3760] Speed: 35.469579 samples/sec accuracy=74.792614 loss=1.010331 lr=0.001000 Epoch[051] Batch [1149]/[3760] Speed: 35.300529 samples/sec accuracy=74.894022 loss=1.007461 lr=0.001000 Epoch[051] Batch [1199]/[3760] Speed: 35.505369 samples/sec accuracy=74.864583 loss=1.009041 lr=0.001000 Epoch[051] Batch [1249]/[3760] Speed: 35.282486 samples/sec accuracy=74.891250 loss=1.007950 lr=0.001000 Epoch[051] Batch [1299]/[3760] Speed: 35.390048 samples/sec accuracy=74.875000 loss=1.008463 lr=0.001000 Epoch[051] Batch [1349]/[3760] Speed: 35.272128 samples/sec accuracy=74.910880 loss=1.007359 lr=0.001000 Epoch[051] Batch [1399]/[3760] Speed: 35.376965 samples/sec accuracy=74.962054 loss=1.005538 lr=0.001000 Epoch[051] Batch [1449]/[3760] Speed: 35.091752 samples/sec accuracy=74.988147 loss=1.004765 lr=0.001000 Epoch[051] 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accuracy=74.992788 loss=1.006556 lr=0.001000 Epoch[051] Batch [1999]/[3760] Speed: 34.896485 samples/sec accuracy=74.979687 loss=1.006820 lr=0.001000 Epoch[051] Batch [2049]/[3760] Speed: 35.340808 samples/sec accuracy=74.963415 loss=1.007428 lr=0.001000 Epoch[051] Batch [2099]/[3760] Speed: 35.024549 samples/sec accuracy=74.957589 loss=1.007032 lr=0.001000 Epoch[051] Batch [2149]/[3760] Speed: 35.211086 samples/sec accuracy=74.969477 loss=1.007213 lr=0.001000 Epoch[051] Batch [2199]/[3760] Speed: 34.999665 samples/sec accuracy=74.953835 loss=1.007569 lr=0.001000 Epoch[051] Batch [2249]/[3760] Speed: 35.222708 samples/sec accuracy=74.957639 loss=1.007925 lr=0.001000 Epoch[051] Batch [2299]/[3760] Speed: 35.063508 samples/sec accuracy=74.930027 loss=1.008473 lr=0.001000 Epoch[051] Batch [2349]/[3760] Speed: 34.951147 samples/sec accuracy=74.928191 loss=1.009095 lr=0.001000 Epoch[051] Batch [2399]/[3760] Speed: 35.097655 samples/sec accuracy=74.907552 loss=1.009905 lr=0.001000 Epoch[051] 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accuracy=74.908405 loss=1.010642 lr=0.001000 Epoch[051] Batch [2949]/[3760] Speed: 34.915410 samples/sec accuracy=74.905191 loss=1.010379 lr=0.001000 Epoch[051] Batch [2999]/[3760] Speed: 35.051247 samples/sec accuracy=74.915625 loss=1.010512 lr=0.001000 Epoch[051] Batch [3049]/[3760] Speed: 34.963359 samples/sec accuracy=74.910348 loss=1.010404 lr=0.001000 Epoch[051] Batch [3099]/[3760] Speed: 34.757087 samples/sec accuracy=74.881552 loss=1.010853 lr=0.001000 Epoch[051] Batch [3149]/[3760] Speed: 35.252912 samples/sec accuracy=74.882440 loss=1.011234 lr=0.001000 Epoch[051] Batch [3199]/[3760] Speed: 34.621088 samples/sec accuracy=74.890137 loss=1.011141 lr=0.001000 Epoch[051] Batch [3249]/[3760] Speed: 35.398286 samples/sec accuracy=74.894231 loss=1.010868 lr=0.001000 Epoch[051] Batch [3299]/[3760] Speed: 34.696327 samples/sec accuracy=74.892992 loss=1.011155 lr=0.001000 Epoch[051] Batch [3349]/[3760] Speed: 35.196215 samples/sec accuracy=74.901586 loss=1.010813 lr=0.001000 Epoch[051] Batch [3399]/[3760] Speed: 34.553555 samples/sec accuracy=74.889246 loss=1.011280 lr=0.001000 Epoch[051] Batch [3449]/[3760] Speed: 35.147823 samples/sec accuracy=74.882699 loss=1.011416 lr=0.001000 Epoch[051] Batch [3499]/[3760] Speed: 34.945365 samples/sec accuracy=74.863839 loss=1.011660 lr=0.001000 Epoch[051] Batch [3549]/[3760] Speed: 35.227926 samples/sec accuracy=74.852993 loss=1.011917 lr=0.001000 Epoch[051] Batch [3599]/[3760] Speed: 34.947119 samples/sec accuracy=74.842014 loss=1.012154 lr=0.001000 Epoch[051] Batch [3649]/[3760] Speed: 35.125508 samples/sec accuracy=74.833904 loss=1.012692 lr=0.001000 Epoch[051] Batch [3699]/[3760] Speed: 35.051775 samples/sec accuracy=74.823902 loss=1.012810 lr=0.001000 Epoch[051] Batch [3749]/[3760] Speed: 36.194553 samples/sec accuracy=74.841667 loss=1.012008 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.250000 acc-top5=86.437500 Batch [0099]/[0303]: acc-top1=65.968750 acc-top5=85.765625 Batch [0149]/[0303]: acc-top1=66.416667 acc-top5=86.083333 Batch [0199]/[0303]: acc-top1=66.156250 acc-top5=86.015625 Batch [0249]/[0303]: acc-top1=65.937500 acc-top5=85.825000 Batch [0299]/[0303]: acc-top1=65.838542 acc-top5=85.744792 [Epoch 051] training: accuracy=74.841257 loss=1.011952 [Epoch 051] speed: 34 samples/sec time cost: 7343.452396 [Epoch 051] validation: acc-top1=65.831271 acc-top5=85.762170 loss=1.590731 Epoch[052] Batch [0049]/[3759] Speed: 24.488293 samples/sec accuracy=75.718750 loss=0.980160 lr=0.001000 Epoch[052] Batch [0099]/[3759] Speed: 35.062011 samples/sec accuracy=75.031250 loss=0.995227 lr=0.001000 Epoch[052] Batch [0149]/[3759] Speed: 34.901904 samples/sec accuracy=74.718750 loss=1.004093 lr=0.001000 Epoch[052] Batch [0199]/[3759] Speed: 35.047865 samples/sec accuracy=74.921875 loss=1.003895 lr=0.001000 Epoch[052] Batch [0249]/[3759] Speed: 35.166150 samples/sec accuracy=74.762500 loss=1.005874 lr=0.001000 Epoch[052] Batch [0299]/[3759] Speed: 34.858034 samples/sec accuracy=74.760417 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accuracy=75.097500 loss=0.998534 lr=0.001000 Epoch[052] Batch [1299]/[3759] Speed: 35.237577 samples/sec accuracy=75.112981 loss=0.997680 lr=0.001000 Epoch[052] Batch [1349]/[3759] Speed: 34.913960 samples/sec accuracy=75.153935 loss=0.996723 lr=0.001000 Epoch[052] Batch [1399]/[3759] Speed: 35.141321 samples/sec accuracy=75.138393 loss=0.996335 lr=0.001000 Epoch[052] Batch [1449]/[3759] Speed: 34.679033 samples/sec accuracy=75.129310 loss=0.995930 lr=0.001000 Epoch[052] Batch [1499]/[3759] Speed: 35.363633 samples/sec accuracy=75.139583 loss=0.996424 lr=0.001000 Epoch[052] Batch [1549]/[3759] Speed: 34.788967 samples/sec accuracy=75.165323 loss=0.994258 lr=0.001000 Epoch[052] Batch [1599]/[3759] Speed: 35.319462 samples/sec accuracy=75.142578 loss=0.995097 lr=0.001000 Epoch[052] Batch [1649]/[3759] Speed: 34.957799 samples/sec accuracy=75.171402 loss=0.994870 lr=0.001000 Epoch[052] Batch [1699]/[3759] Speed: 35.370548 samples/sec accuracy=75.176471 loss=0.994905 lr=0.001000 Epoch[052] 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accuracy=75.230824 loss=0.995114 lr=0.001000 Epoch[052] Batch [2249]/[3759] Speed: 35.494312 samples/sec accuracy=75.221528 loss=0.995340 lr=0.001000 Epoch[052] Batch [2299]/[3759] Speed: 35.034204 samples/sec accuracy=75.216033 loss=0.995995 lr=0.001000 Epoch[052] Batch [2349]/[3759] Speed: 35.469751 samples/sec accuracy=75.206782 loss=0.996325 lr=0.001000 Epoch[052] Batch [2399]/[3759] Speed: 35.115594 samples/sec accuracy=75.195964 loss=0.996905 lr=0.001000 Epoch[052] Batch [2449]/[3759] Speed: 35.497969 samples/sec accuracy=75.183036 loss=0.996407 lr=0.001000 Epoch[052] Batch [2499]/[3759] Speed: 35.059897 samples/sec accuracy=75.186875 loss=0.996475 lr=0.001000 Epoch[052] Batch [2549]/[3759] Speed: 35.289456 samples/sec accuracy=75.176471 loss=0.996789 lr=0.001000 Epoch[052] Batch [2599]/[3759] Speed: 34.999247 samples/sec accuracy=75.174880 loss=0.997091 lr=0.001000 Epoch[052] Batch [2649]/[3759] Speed: 35.148826 samples/sec accuracy=75.158608 loss=0.997641 lr=0.001000 Epoch[052] 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accuracy=75.135417 loss=0.999154 lr=0.001000 Epoch[052] Batch [3199]/[3759] Speed: 35.298729 samples/sec accuracy=75.128906 loss=0.999302 lr=0.001000 Epoch[052] Batch [3249]/[3759] Speed: 35.238283 samples/sec accuracy=75.137981 loss=0.998799 lr=0.001000 Epoch[052] Batch [3299]/[3759] Speed: 35.282274 samples/sec accuracy=75.133996 loss=0.999141 lr=0.001000 Epoch[052] Batch [3349]/[3759] Speed: 34.812064 samples/sec accuracy=75.135261 loss=0.998959 lr=0.001000 Epoch[052] Batch [3399]/[3759] Speed: 35.097831 samples/sec accuracy=75.109835 loss=0.999714 lr=0.001000 Epoch[052] Batch [3449]/[3759] Speed: 35.010018 samples/sec accuracy=75.090127 loss=0.999820 lr=0.001000 Epoch[052] Batch [3499]/[3759] Speed: 34.971060 samples/sec accuracy=75.072321 loss=0.999815 lr=0.001000 Epoch[052] Batch [3549]/[3759] Speed: 35.261317 samples/sec accuracy=75.077905 loss=0.999802 lr=0.001000 Epoch[052] Batch [3599]/[3759] Speed: 34.939005 samples/sec accuracy=75.102431 loss=0.998790 lr=0.001000 Epoch[052] Batch [3649]/[3759] Speed: 35.306278 samples/sec accuracy=75.114298 loss=0.998403 lr=0.001000 Epoch[052] Batch [3699]/[3759] Speed: 34.877022 samples/sec accuracy=75.101774 loss=0.998847 lr=0.001000 Epoch[052] Batch [3749]/[3759] Speed: 36.766089 samples/sec accuracy=75.094583 loss=0.998920 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.187500 acc-top5=86.125000 Batch [0099]/[0303]: acc-top1=66.281250 acc-top5=85.406250 Batch [0149]/[0303]: acc-top1=66.479167 acc-top5=85.635417 Batch [0199]/[0303]: acc-top1=66.289062 acc-top5=85.765625 Batch [0249]/[0303]: acc-top1=66.062500 acc-top5=85.612500 Batch [0299]/[0303]: acc-top1=66.015625 acc-top5=85.640625 [Epoch 052] training: accuracy=75.098514 loss=0.998824 [Epoch 052] speed: 34 samples/sec time cost: 7346.148701 [Epoch 052] validation: acc-top1=66.001444 acc-top5=85.648721 loss=1.582827 Epoch[053] Batch [0049]/[3760] Speed: 24.584310 samples/sec accuracy=74.687500 loss=0.988981 lr=0.001000 Epoch[053] Batch [0099]/[3760] Speed: 34.992459 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lr=0.001000 Epoch[053] Batch [3449]/[3760] Speed: 35.269407 samples/sec accuracy=75.327446 loss=0.990677 lr=0.001000 Epoch[053] Batch [3499]/[3760] Speed: 35.457627 samples/sec accuracy=75.318304 loss=0.990777 lr=0.001000 Epoch[053] Batch [3549]/[3760] Speed: 34.851961 samples/sec accuracy=75.316021 loss=0.990713 lr=0.001000 Epoch[053] Batch [3599]/[3760] Speed: 35.358074 samples/sec accuracy=75.325087 loss=0.990568 lr=0.001000 Epoch[053] Batch [3649]/[3760] Speed: 34.908444 samples/sec accuracy=75.321062 loss=0.990336 lr=0.001000 Epoch[053] Batch [3699]/[3760] Speed: 35.542985 samples/sec accuracy=75.320524 loss=0.990741 lr=0.001000 Epoch[053] Batch [3749]/[3760] Speed: 36.269005 samples/sec accuracy=75.315000 loss=0.990926 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.312500 acc-top5=85.687500 Batch [0099]/[0303]: acc-top1=66.390625 acc-top5=85.281250 Batch [0149]/[0303]: acc-top1=66.614583 acc-top5=85.625000 Batch [0199]/[0303]: acc-top1=66.195312 acc-top5=85.687500 Batch [0249]/[0303]: acc-top1=65.956250 acc-top5=85.506250 Batch [0299]/[0303]: acc-top1=65.895833 acc-top5=85.526042 [Epoch 053] training: accuracy=75.314993 loss=0.990775 [Epoch 053] speed: 35 samples/sec time cost: 7332.857378 [Epoch 053] validation: acc-top1=65.908622 acc-top5=85.524959 loss=1.590397 Epoch[054] Batch [0049]/[3760] Speed: 24.818456 samples/sec accuracy=75.843750 loss=0.984465 lr=0.001000 Epoch[054] Batch [0099]/[3760] Speed: 35.013282 samples/sec accuracy=76.281250 loss=0.958697 lr=0.001000 Epoch[054] Batch [0149]/[3760] Speed: 35.089234 samples/sec accuracy=75.968750 loss=0.972782 lr=0.001000 Epoch[054] Batch [0199]/[3760] Speed: 34.997799 samples/sec accuracy=75.945312 loss=0.965417 lr=0.001000 Epoch[054] Batch [0249]/[3760] Speed: 35.161182 samples/sec accuracy=75.675000 loss=0.972543 lr=0.001000 Epoch[054] Batch [0299]/[3760] Speed: 35.173954 samples/sec accuracy=75.734375 loss=0.974565 lr=0.001000 Epoch[054] Batch [0349]/[3760] Speed: 35.375153 samples/sec accuracy=75.816964 loss=0.969134 lr=0.001000 Epoch[054] Batch [0399]/[3760] Speed: 35.132234 samples/sec accuracy=75.839844 loss=0.970080 lr=0.001000 Epoch[054] Batch [0449]/[3760] Speed: 35.323565 samples/sec accuracy=75.881944 loss=0.967385 lr=0.001000 Epoch[054] Batch [0499]/[3760] Speed: 35.002715 samples/sec accuracy=75.909375 loss=0.965929 lr=0.001000 Epoch[054] Batch [0549]/[3760] Speed: 35.263096 samples/sec accuracy=75.815341 loss=0.969694 lr=0.001000 Epoch[054] Batch [0599]/[3760] Speed: 34.808213 samples/sec accuracy=75.773438 loss=0.970116 lr=0.001000 Epoch[054] Batch [0649]/[3760] Speed: 35.329201 samples/sec accuracy=75.817308 loss=0.970131 lr=0.001000 Epoch[054] Batch [0699]/[3760] Speed: 34.917015 samples/sec accuracy=75.801339 loss=0.970285 lr=0.001000 Epoch[054] Batch [0749]/[3760] Speed: 35.432271 samples/sec accuracy=75.787500 loss=0.968936 lr=0.001000 Epoch[054] Batch [0799]/[3760] Speed: 34.809780 samples/sec accuracy=75.744141 loss=0.970610 lr=0.001000 Epoch[054] 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accuracy=75.745192 loss=0.970891 lr=0.001000 Epoch[054] Batch [1349]/[3760] Speed: 35.077634 samples/sec accuracy=75.782407 loss=0.970143 lr=0.001000 Epoch[054] Batch [1399]/[3760] Speed: 35.337629 samples/sec accuracy=75.746652 loss=0.970315 lr=0.001000 Epoch[054] Batch [1449]/[3760] Speed: 34.880644 samples/sec accuracy=75.758621 loss=0.970278 lr=0.001000 Epoch[054] Batch [1499]/[3760] Speed: 35.372148 samples/sec accuracy=75.797917 loss=0.969008 lr=0.001000 Epoch[054] Batch [1549]/[3760] Speed: 34.819709 samples/sec accuracy=75.802419 loss=0.970278 lr=0.001000 Epoch[054] Batch [1599]/[3760] Speed: 35.316875 samples/sec accuracy=75.812500 loss=0.969432 lr=0.001000 Epoch[054] Batch [1649]/[3760] Speed: 34.913240 samples/sec accuracy=75.785038 loss=0.969502 lr=0.001000 Epoch[054] Batch [1699]/[3760] Speed: 35.297609 samples/sec accuracy=75.787684 loss=0.969267 lr=0.001000 Epoch[054] Batch [1749]/[3760] Speed: 34.899281 samples/sec accuracy=75.787500 loss=0.969557 lr=0.001000 Epoch[054] 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accuracy=75.731944 loss=0.971339 lr=0.001000 Epoch[054] Batch [2299]/[3760] Speed: 34.809716 samples/sec accuracy=75.718071 loss=0.972428 lr=0.001000 Epoch[054] Batch [2349]/[3760] Speed: 35.387522 samples/sec accuracy=75.694149 loss=0.973269 lr=0.001000 Epoch[054] Batch [2399]/[3760] Speed: 34.913954 samples/sec accuracy=75.684245 loss=0.973755 lr=0.001000 Epoch[054] Batch [2449]/[3760] Speed: 35.346072 samples/sec accuracy=75.681760 loss=0.973858 lr=0.001000 Epoch[054] Batch [2499]/[3760] Speed: 34.771473 samples/sec accuracy=75.664375 loss=0.974597 lr=0.001000 Epoch[054] Batch [2549]/[3760] Speed: 34.967608 samples/sec accuracy=75.664216 loss=0.974615 lr=0.001000 Epoch[054] Batch [2599]/[3760] Speed: 34.956294 samples/sec accuracy=75.663462 loss=0.974642 lr=0.001000 Epoch[054] Batch [2649]/[3760] Speed: 34.970993 samples/sec accuracy=75.661557 loss=0.974951 lr=0.001000 Epoch[054] Batch [2699]/[3760] Speed: 35.090742 samples/sec accuracy=75.660880 loss=0.975209 lr=0.001000 Epoch[054] 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accuracy=75.633789 loss=0.975402 lr=0.001000 Epoch[054] Batch [3249]/[3760] Speed: 35.113049 samples/sec accuracy=75.636058 loss=0.975445 lr=0.001000 Epoch[054] Batch [3299]/[3760] Speed: 34.493498 samples/sec accuracy=75.633523 loss=0.975339 lr=0.001000 Epoch[054] Batch [3349]/[3760] Speed: 35.175337 samples/sec accuracy=75.640392 loss=0.975150 lr=0.001000 Epoch[054] Batch [3399]/[3760] Speed: 34.570059 samples/sec accuracy=75.621783 loss=0.975867 lr=0.001000 Epoch[054] Batch [3449]/[3760] Speed: 35.306052 samples/sec accuracy=75.610507 loss=0.977072 lr=0.001000 Epoch[054] Batch [3499]/[3760] Speed: 34.614198 samples/sec accuracy=75.602679 loss=0.977239 lr=0.001000 Epoch[054] Batch [3549]/[3760] Speed: 35.197825 samples/sec accuracy=75.601232 loss=0.976833 lr=0.001000 Epoch[054] Batch [3599]/[3760] Speed: 34.773068 samples/sec accuracy=75.585938 loss=0.977327 lr=0.001000 Epoch[054] Batch [3649]/[3760] Speed: 34.781876 samples/sec accuracy=75.574914 loss=0.977708 lr=0.001000 Epoch[054] Batch [3699]/[3760] Speed: 35.052862 samples/sec accuracy=75.564611 loss=0.978197 lr=0.001000 Epoch[054] Batch [3749]/[3760] Speed: 36.196618 samples/sec accuracy=75.555833 loss=0.978692 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.156250 acc-top5=86.406250 Batch [0099]/[0303]: acc-top1=66.421875 acc-top5=85.593750 Batch [0149]/[0303]: acc-top1=66.666667 acc-top5=85.656250 Batch [0199]/[0303]: acc-top1=66.296875 acc-top5=85.742188 Batch [0249]/[0303]: acc-top1=66.100000 acc-top5=85.643750 Batch [0299]/[0303]: acc-top1=66.109375 acc-top5=85.625000 [Epoch 054] training: accuracy=75.547706 loss=0.978954 [Epoch 054] speed: 34 samples/sec time cost: 7365.327388 [Epoch 054] validation: acc-top1=66.099422 acc-top5=85.638408 loss=1.588307 Epoch[055] Batch [0049]/[3759] Speed: 25.054835 samples/sec accuracy=75.000000 loss=0.996908 lr=0.001000 Epoch[055] Batch [0099]/[3759] Speed: 35.398371 samples/sec accuracy=75.468750 loss=0.966182 lr=0.001000 Epoch[055] Batch [0149]/[3759] Speed: 35.058327 samples/sec accuracy=75.802083 loss=0.962707 lr=0.001000 Epoch[055] Batch [0199]/[3759] Speed: 35.390465 samples/sec accuracy=75.750000 loss=0.963592 lr=0.001000 Epoch[055] Batch [0249]/[3759] Speed: 35.143607 samples/sec accuracy=75.806250 loss=0.964406 lr=0.001000 Epoch[055] Batch [0299]/[3759] Speed: 35.228671 samples/sec accuracy=75.765625 loss=0.969998 lr=0.001000 Epoch[055] Batch [0349]/[3759] Speed: 35.136359 samples/sec accuracy=75.732143 loss=0.974853 lr=0.001000 Epoch[055] Batch [0399]/[3759] Speed: 35.236705 samples/sec accuracy=75.617188 loss=0.978036 lr=0.001000 Epoch[055] Batch [0449]/[3759] Speed: 35.230511 samples/sec accuracy=75.604167 loss=0.977670 lr=0.001000 Epoch[055] Batch [0499]/[3759] Speed: 34.981771 samples/sec accuracy=75.687500 loss=0.971598 lr=0.001000 Epoch[055] Batch [0549]/[3759] Speed: 35.268556 samples/sec accuracy=75.698864 loss=0.969724 lr=0.001000 Epoch[055] Batch [0599]/[3759] Speed: 35.098450 samples/sec accuracy=75.713542 loss=0.967887 lr=0.001000 Epoch[055] Batch [0649]/[3759] Speed: 35.472694 samples/sec accuracy=75.795673 loss=0.968047 lr=0.001000 Epoch[055] Batch [0699]/[3759] Speed: 35.095290 samples/sec accuracy=75.825893 loss=0.967527 lr=0.001000 Epoch[055] Batch [0749]/[3759] Speed: 35.088887 samples/sec accuracy=75.841667 loss=0.966472 lr=0.001000 Epoch[055] Batch [0799]/[3759] Speed: 34.987124 samples/sec accuracy=75.912109 loss=0.964287 lr=0.001000 Epoch[055] Batch [0849]/[3759] Speed: 35.470606 samples/sec accuracy=75.946691 loss=0.964620 lr=0.001000 Epoch[055] Batch [0899]/[3759] Speed: 34.940856 samples/sec accuracy=75.895833 loss=0.967567 lr=0.001000 Epoch[055] Batch [0949]/[3759] Speed: 35.390945 samples/sec accuracy=75.939145 loss=0.965136 lr=0.001000 Epoch[055] Batch [0999]/[3759] Speed: 35.238284 samples/sec accuracy=75.931250 loss=0.964105 lr=0.001000 Epoch[055] Batch [1049]/[3759] Speed: 35.556980 samples/sec accuracy=75.953869 loss=0.963161 lr=0.001000 Epoch[055] Batch [1099]/[3759] Speed: 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lr=0.001000 Epoch[055] Batch [1599]/[3759] Speed: 35.425998 samples/sec accuracy=76.081055 loss=0.959796 lr=0.001000 Epoch[055] Batch [1649]/[3759] Speed: 35.141275 samples/sec accuracy=76.053030 loss=0.960331 lr=0.001000 Epoch[055] Batch [1699]/[3759] Speed: 35.395396 samples/sec accuracy=76.054228 loss=0.960453 lr=0.001000 Epoch[055] Batch [1749]/[3759] Speed: 35.047104 samples/sec accuracy=76.041071 loss=0.960463 lr=0.001000 Epoch[055] Batch [1799]/[3759] Speed: 35.358504 samples/sec accuracy=76.007812 loss=0.961665 lr=0.001000 Epoch[055] Batch [1849]/[3759] Speed: 35.211835 samples/sec accuracy=76.013514 loss=0.962275 lr=0.001000 Epoch[055] Batch [1899]/[3759] Speed: 35.496600 samples/sec accuracy=75.962993 loss=0.963836 lr=0.001000 Epoch[055] Batch [1949]/[3759] Speed: 35.289549 samples/sec accuracy=75.947917 loss=0.964327 lr=0.001000 Epoch[055] Batch [1999]/[3759] Speed: 35.313472 samples/sec accuracy=75.918750 loss=0.965176 lr=0.001000 Epoch[055] Batch [2049]/[3759] Speed: 35.354365 samples/sec accuracy=75.887195 loss=0.966314 lr=0.001000 Epoch[055] Batch [2099]/[3759] Speed: 35.099046 samples/sec accuracy=75.896577 loss=0.966566 lr=0.001000 Epoch[055] Batch [2149]/[3759] Speed: 35.290953 samples/sec accuracy=75.864826 loss=0.967637 lr=0.001000 Epoch[055] Batch [2199]/[3759] Speed: 35.269882 samples/sec accuracy=75.865767 loss=0.967302 lr=0.001000 Epoch[055] Batch [2249]/[3759] Speed: 35.087024 samples/sec accuracy=75.838194 loss=0.967886 lr=0.001000 Epoch[055] Batch [2299]/[3759] Speed: 35.242016 samples/sec accuracy=75.875679 loss=0.966306 lr=0.001000 Epoch[055] Batch [2349]/[3759] Speed: 35.302486 samples/sec accuracy=75.863032 loss=0.966596 lr=0.001000 Epoch[055] Batch [2399]/[3759] Speed: 35.401873 samples/sec accuracy=75.856120 loss=0.966484 lr=0.001000 Epoch[055] Batch [2449]/[3759] Speed: 35.240781 samples/sec accuracy=75.811862 loss=0.968080 lr=0.001000 Epoch[055] Batch [2499]/[3759] Speed: 35.332978 samples/sec accuracy=75.788750 loss=0.968668 lr=0.001000 Epoch[055] Batch [2549]/[3759] Speed: 35.446620 samples/sec accuracy=75.813725 loss=0.968150 lr=0.001000 Epoch[055] Batch [2599]/[3759] Speed: 35.297252 samples/sec accuracy=75.799880 loss=0.968481 lr=0.001000 Epoch[055] Batch [2649]/[3759] Speed: 35.289804 samples/sec accuracy=75.789505 loss=0.968957 lr=0.001000 Epoch[055] Batch [2699]/[3759] Speed: 35.195278 samples/sec accuracy=75.821181 loss=0.967886 lr=0.001000 Epoch[055] Batch [2749]/[3759] Speed: 35.461128 samples/sec accuracy=75.817614 loss=0.967822 lr=0.001000 Epoch[055] Batch [2799]/[3759] Speed: 35.258874 samples/sec accuracy=75.796875 loss=0.967952 lr=0.001000 Epoch[055] Batch [2849]/[3759] Speed: 35.164430 samples/sec accuracy=75.793311 loss=0.968353 lr=0.001000 Epoch[055] Batch [2899]/[3759] Speed: 35.320533 samples/sec accuracy=75.778556 loss=0.968745 lr=0.001000 Epoch[055] Batch [2949]/[3759] Speed: 35.006747 samples/sec accuracy=75.758475 loss=0.969537 lr=0.001000 Epoch[055] Batch [2999]/[3759] Speed: 35.183590 samples/sec accuracy=75.753125 loss=0.969340 lr=0.001000 Epoch[055] Batch [3049]/[3759] Speed: 35.129317 samples/sec accuracy=75.758197 loss=0.969221 lr=0.001000 Epoch[055] Batch [3099]/[3759] Speed: 35.301038 samples/sec accuracy=75.770161 loss=0.969105 lr=0.001000 Epoch[055] Batch [3149]/[3759] Speed: 34.939798 samples/sec accuracy=75.782738 loss=0.968672 lr=0.001000 Epoch[055] Batch [3199]/[3759] Speed: 35.349578 samples/sec accuracy=75.786621 loss=0.968626 lr=0.001000 Epoch[055] Batch [3249]/[3759] Speed: 34.917172 samples/sec accuracy=75.792788 loss=0.968272 lr=0.001000 Epoch[055] Batch [3299]/[3759] Speed: 35.442892 samples/sec accuracy=75.772254 loss=0.969157 lr=0.001000 Epoch[055] Batch [3349]/[3759] Speed: 34.984420 samples/sec accuracy=75.778918 loss=0.968808 lr=0.001000 Epoch[055] Batch [3399]/[3759] Speed: 35.250618 samples/sec accuracy=75.764246 loss=0.969096 lr=0.001000 Epoch[055] Batch [3449]/[3759] Speed: 34.896037 samples/sec accuracy=75.777174 loss=0.968448 lr=0.001000 Epoch[055] Batch [3499]/[3759] Speed: 35.257157 samples/sec accuracy=75.798214 loss=0.967803 lr=0.001000 Epoch[055] Batch [3549]/[3759] Speed: 35.024128 samples/sec accuracy=75.774208 loss=0.968675 lr=0.001000 Epoch[055] Batch [3599]/[3759] Speed: 35.133084 samples/sec accuracy=75.763455 loss=0.969263 lr=0.001000 Epoch[055] Batch [3649]/[3759] Speed: 35.276451 samples/sec accuracy=75.744863 loss=0.970174 lr=0.001000 Epoch[055] Batch [3699]/[3759] Speed: 35.003679 samples/sec accuracy=75.736064 loss=0.970605 lr=0.001000 Epoch[055] Batch [3749]/[3759] Speed: 36.557486 samples/sec accuracy=75.730417 loss=0.970639 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.500000 acc-top5=86.281250 Batch [0099]/[0303]: acc-top1=66.218750 acc-top5=85.328125 Batch [0149]/[0303]: acc-top1=66.468750 acc-top5=85.468750 Batch [0199]/[0303]: acc-top1=66.039062 acc-top5=85.578125 Batch [0249]/[0303]: acc-top1=66.000000 acc-top5=85.481250 Batch [0299]/[0303]: acc-top1=65.859375 acc-top5=85.567708 [Epoch 055] training: accuracy=75.727005 loss=0.970827 [Epoch 055] speed: 35 samples/sec time cost: 7328.437988 [Epoch 055] validation: acc-top1=65.851898 acc-top5=85.571370 loss=1.584064 Epoch[056] Batch [0049]/[3760] Speed: 24.897281 samples/sec accuracy=78.062500 loss=0.887118 lr=0.001000 Epoch[056] Batch [0099]/[3760] Speed: 35.019942 samples/sec accuracy=77.312500 loss=0.909750 lr=0.001000 Epoch[056] Batch [0149]/[3760] Speed: 34.939665 samples/sec accuracy=77.375000 loss=0.909072 lr=0.001000 Epoch[056] Batch [0199]/[3760] Speed: 34.777808 samples/sec accuracy=76.875000 loss=0.926278 lr=0.001000 Epoch[056] Batch [0249]/[3760] Speed: 35.412851 samples/sec accuracy=76.762500 loss=0.929173 lr=0.001000 Epoch[056] Batch [0299]/[3760] Speed: 34.985985 samples/sec accuracy=76.765625 loss=0.931814 lr=0.001000 Epoch[056] Batch [0349]/[3760] Speed: 35.261779 samples/sec accuracy=76.830357 loss=0.931323 lr=0.001000 Epoch[056] Batch [0399]/[3760] Speed: 34.982451 samples/sec accuracy=76.726562 loss=0.930956 lr=0.001000 Epoch[056] Batch [0449]/[3760] Speed: 35.379680 samples/sec accuracy=76.805556 loss=0.930008 lr=0.001000 Epoch[056] Batch [0499]/[3760] Speed: 34.783259 samples/sec accuracy=76.703125 loss=0.932586 lr=0.001000 Epoch[056] Batch [0549]/[3760] Speed: 35.600319 samples/sec accuracy=76.659091 loss=0.936087 lr=0.001000 Epoch[056] Batch [0599]/[3760] Speed: 34.993119 samples/sec accuracy=76.510417 loss=0.939586 lr=0.001000 Epoch[056] Batch [0649]/[3760] Speed: 35.339932 samples/sec accuracy=76.526442 loss=0.938963 lr=0.001000 Epoch[056] Batch [0699]/[3760] Speed: 34.943274 samples/sec accuracy=76.513393 loss=0.938772 lr=0.001000 Epoch[056] Batch [0749]/[3760] Speed: 35.404970 samples/sec accuracy=76.475000 loss=0.940738 lr=0.001000 Epoch[056] Batch [0799]/[3760] Speed: 35.089724 samples/sec accuracy=76.474609 loss=0.940949 lr=0.001000 Epoch[056] Batch [0849]/[3760] Speed: 35.173047 samples/sec accuracy=76.514706 loss=0.938789 lr=0.001000 Epoch[056] 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accuracy=76.438657 loss=0.940185 lr=0.001000 Epoch[056] Batch [1399]/[3760] Speed: 35.460428 samples/sec accuracy=76.450893 loss=0.941024 lr=0.001000 Epoch[056] Batch [1449]/[3760] Speed: 35.193049 samples/sec accuracy=76.395474 loss=0.942830 lr=0.001000 Epoch[056] Batch [1499]/[3760] Speed: 35.325676 samples/sec accuracy=76.367708 loss=0.943798 lr=0.001000 Epoch[056] Batch [1549]/[3760] Speed: 35.103752 samples/sec accuracy=76.370968 loss=0.943058 lr=0.001000 Epoch[056] Batch [1599]/[3760] Speed: 35.369628 samples/sec accuracy=76.326172 loss=0.944343 lr=0.001000 Epoch[056] Batch [1649]/[3760] Speed: 35.185956 samples/sec accuracy=76.318182 loss=0.945101 lr=0.001000 Epoch[056] Batch [1699]/[3760] Speed: 35.289100 samples/sec accuracy=76.317096 loss=0.944795 lr=0.001000 Epoch[056] Batch [1749]/[3760] Speed: 35.019161 samples/sec accuracy=76.269643 loss=0.946271 lr=0.001000 Epoch[056] Batch [1799]/[3760] Speed: 35.478303 samples/sec accuracy=76.251736 loss=0.947127 lr=0.001000 Epoch[056] 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accuracy=76.209239 loss=0.949782 lr=0.001000 Epoch[056] Batch [2349]/[3760] Speed: 35.575933 samples/sec accuracy=76.193484 loss=0.950653 lr=0.001000 Epoch[056] Batch [2399]/[3760] Speed: 35.444076 samples/sec accuracy=76.176432 loss=0.950950 lr=0.001000 Epoch[056] Batch [2449]/[3760] Speed: 35.410723 samples/sec accuracy=76.172832 loss=0.951148 lr=0.001000 Epoch[056] Batch [2499]/[3760] Speed: 35.413463 samples/sec accuracy=76.185625 loss=0.951181 lr=0.001000 Epoch[056] Batch [2549]/[3760] Speed: 35.516833 samples/sec accuracy=76.163603 loss=0.952198 lr=0.001000 Epoch[056] Batch [2599]/[3760] Speed: 35.277328 samples/sec accuracy=76.174279 loss=0.952254 lr=0.001000 Epoch[056] Batch [2649]/[3760] Speed: 35.557487 samples/sec accuracy=76.178066 loss=0.952954 lr=0.001000 Epoch[056] Batch [2699]/[3760] Speed: 35.319067 samples/sec accuracy=76.181134 loss=0.952809 lr=0.001000 Epoch[056] Batch [2749]/[3760] Speed: 35.636951 samples/sec accuracy=76.181250 loss=0.952870 lr=0.001000 Epoch[056] Batch [2799]/[3760] Speed: 35.336010 samples/sec accuracy=76.170759 loss=0.953052 lr=0.001000 Epoch[056] Batch [2849]/[3760] Speed: 35.510822 samples/sec accuracy=76.180373 loss=0.952943 lr=0.001000 Epoch[056] Batch [2899]/[3760] Speed: 35.141307 samples/sec accuracy=76.169181 loss=0.953329 lr=0.001000 Epoch[056] Batch [2949]/[3760] Speed: 35.519284 samples/sec accuracy=76.145657 loss=0.954311 lr=0.001000 Epoch[056] Batch [2999]/[3760] Speed: 35.409590 samples/sec accuracy=76.118229 loss=0.955488 lr=0.001000 Epoch[056] Batch [3049]/[3760] Speed: 35.277574 samples/sec accuracy=76.135758 loss=0.954884 lr=0.001000 Epoch[056] Batch [3099]/[3760] Speed: 35.340787 samples/sec accuracy=76.152218 loss=0.954655 lr=0.001000 Epoch[056] Batch [3149]/[3760] Speed: 35.180007 samples/sec accuracy=76.145833 loss=0.954852 lr=0.001000 Epoch[056] Batch [3199]/[3760] Speed: 35.529268 samples/sec accuracy=76.148438 loss=0.955050 lr=0.001000 Epoch[056] Batch [3249]/[3760] Speed: 35.303846 samples/sec accuracy=76.156250 loss=0.955103 lr=0.001000 Epoch[056] Batch [3299]/[3760] Speed: 35.511493 samples/sec accuracy=76.152462 loss=0.955677 lr=0.001000 Epoch[056] Batch [3349]/[3760] Speed: 35.250936 samples/sec accuracy=76.152519 loss=0.955588 lr=0.001000 Epoch[056] Batch [3399]/[3760] Speed: 35.602786 samples/sec accuracy=76.164522 loss=0.955315 lr=0.001000 Epoch[056] Batch [3449]/[3760] Speed: 35.322113 samples/sec accuracy=76.179801 loss=0.954832 lr=0.001000 Epoch[056] Batch [3499]/[3760] Speed: 35.645869 samples/sec accuracy=76.174554 loss=0.954906 lr=0.001000 Epoch[056] Batch [3549]/[3760] Speed: 35.356020 samples/sec accuracy=76.174296 loss=0.955191 lr=0.001000 Epoch[056] Batch [3599]/[3760] Speed: 35.273432 samples/sec accuracy=76.163628 loss=0.955406 lr=0.001000 Epoch[056] Batch [3649]/[3760] Speed: 35.361393 samples/sec accuracy=76.157962 loss=0.955593 lr=0.001000 Epoch[056] Batch [3699]/[3760] Speed: 35.355543 samples/sec accuracy=76.151182 loss=0.955519 lr=0.001000 Epoch[056] Batch [3749]/[3760] Speed: 36.605966 samples/sec accuracy=76.154583 loss=0.955109 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.343750 acc-top5=85.593750 Batch [0099]/[0303]: acc-top1=66.593750 acc-top5=85.296875 Batch [0149]/[0303]: acc-top1=66.864583 acc-top5=85.531250 Batch [0199]/[0303]: acc-top1=66.453125 acc-top5=85.765625 Batch [0249]/[0303]: acc-top1=66.331250 acc-top5=85.587500 Batch [0299]/[0303]: acc-top1=66.276042 acc-top5=85.583333 [Epoch 056] training: accuracy=76.148188 loss=0.955427 [Epoch 056] speed: 35 samples/sec time cost: 7309.253211 [Epoch 056] validation: acc-top1=66.264439 acc-top5=85.591997 loss=1.595150 Epoch[057] Batch [0049]/[3760] Speed: 24.718411 samples/sec accuracy=77.312500 loss=0.926548 lr=0.001000 Epoch[057] Batch [0099]/[3760] Speed: 35.262522 samples/sec accuracy=76.750000 loss=0.949757 lr=0.001000 Epoch[057] Batch [0149]/[3760] Speed: 35.003512 samples/sec accuracy=77.166667 loss=0.935888 lr=0.001000 Epoch[057] Batch [0199]/[3760] Speed: 35.214423 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lr=0.001000 Epoch[057] Batch [1649]/[3760] Speed: 35.307492 samples/sec accuracy=76.366477 loss=0.952126 lr=0.001000 Epoch[057] Batch [1699]/[3760] Speed: 35.152597 samples/sec accuracy=76.354779 loss=0.951822 lr=0.001000 Epoch[057] Batch [1749]/[3760] Speed: 35.104338 samples/sec accuracy=76.358929 loss=0.952189 lr=0.001000 Epoch[057] Batch [1799]/[3760] Speed: 35.122406 samples/sec accuracy=76.382812 loss=0.951527 lr=0.001000 Epoch[057] Batch [1849]/[3760] Speed: 34.827425 samples/sec accuracy=76.359797 loss=0.952142 lr=0.001000 Epoch[057] Batch [1899]/[3760] Speed: 35.119652 samples/sec accuracy=76.339638 loss=0.952794 lr=0.001000 Epoch[057] Batch [1949]/[3760] Speed: 34.699963 samples/sec accuracy=76.361378 loss=0.952039 lr=0.001000 Epoch[057] Batch [1999]/[3760] Speed: 35.249397 samples/sec accuracy=76.344531 loss=0.953904 lr=0.001000 Epoch[057] Batch [2049]/[3760] Speed: 34.784287 samples/sec accuracy=76.361280 loss=0.952714 lr=0.001000 Epoch[057] Batch [2099]/[3760] Speed: 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lr=0.001000 Epoch[057] Batch [2599]/[3760] Speed: 34.689750 samples/sec accuracy=76.236178 loss=0.956920 lr=0.001000 Epoch[057] Batch [2649]/[3760] Speed: 34.922183 samples/sec accuracy=76.236439 loss=0.956698 lr=0.001000 Epoch[057] Batch [2699]/[3760] Speed: 35.214522 samples/sec accuracy=76.256944 loss=0.955896 lr=0.001000 Epoch[057] Batch [2749]/[3760] Speed: 34.639323 samples/sec accuracy=76.248295 loss=0.956330 lr=0.001000 Epoch[057] Batch [2799]/[3760] Speed: 35.085977 samples/sec accuracy=76.267299 loss=0.955281 lr=0.001000 Epoch[057] Batch [2849]/[3760] Speed: 34.720688 samples/sec accuracy=76.271930 loss=0.954821 lr=0.001000 Epoch[057] Batch [2899]/[3760] Speed: 35.412039 samples/sec accuracy=76.282328 loss=0.954550 lr=0.001000 Epoch[057] Batch [2949]/[3760] Speed: 34.858420 samples/sec accuracy=76.261653 loss=0.955191 lr=0.001000 Epoch[057] Batch [2999]/[3760] Speed: 35.497059 samples/sec accuracy=76.267188 loss=0.954940 lr=0.001000 Epoch[057] Batch [3049]/[3760] Speed: 34.904211 samples/sec accuracy=76.248463 loss=0.955442 lr=0.001000 Epoch[057] Batch [3099]/[3760] Speed: 35.281131 samples/sec accuracy=76.256048 loss=0.955230 lr=0.001000 Epoch[057] Batch [3149]/[3760] Speed: 34.908521 samples/sec accuracy=76.266865 loss=0.955273 lr=0.001000 Epoch[057] Batch [3199]/[3760] Speed: 35.221587 samples/sec accuracy=76.244141 loss=0.955654 lr=0.001000 Epoch[057] Batch [3249]/[3760] Speed: 34.845749 samples/sec accuracy=76.245673 loss=0.955584 lr=0.001000 Epoch[057] Batch [3299]/[3760] Speed: 35.255078 samples/sec accuracy=76.236742 loss=0.955830 lr=0.001000 Epoch[057] Batch [3349]/[3760] Speed: 35.169684 samples/sec accuracy=76.228545 loss=0.956246 lr=0.001000 Epoch[057] Batch [3399]/[3760] Speed: 35.280711 samples/sec accuracy=76.228860 loss=0.956444 lr=0.001000 Epoch[057] Batch [3449]/[3760] Speed: 35.341164 samples/sec accuracy=76.220109 loss=0.956656 lr=0.001000 Epoch[057] Batch [3499]/[3760] Speed: 35.430201 samples/sec accuracy=76.210268 loss=0.956834 lr=0.001000 Epoch[057] Batch [3549]/[3760] Speed: 35.086498 samples/sec accuracy=76.188380 loss=0.957206 lr=0.001000 Epoch[057] Batch [3599]/[3760] Speed: 35.475168 samples/sec accuracy=76.202691 loss=0.956799 lr=0.001000 Epoch[057] Batch [3649]/[3760] Speed: 35.181735 samples/sec accuracy=76.225171 loss=0.955639 lr=0.001000 Epoch[057] Batch [3699]/[3760] Speed: 35.147384 samples/sec accuracy=76.210304 loss=0.956119 lr=0.001000 Epoch[057] Batch [3749]/[3760] Speed: 36.552644 samples/sec accuracy=76.213750 loss=0.956225 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.437500 acc-top5=86.250000 Batch [0099]/[0303]: acc-top1=66.171875 acc-top5=85.250000 Batch [0149]/[0303]: acc-top1=66.770833 acc-top5=85.604167 Batch [0199]/[0303]: acc-top1=66.351562 acc-top5=85.679688 Batch [0249]/[0303]: acc-top1=66.243750 acc-top5=85.518750 Batch [0299]/[0303]: acc-top1=66.088542 acc-top5=85.619792 [Epoch 057] training: accuracy=76.212600 loss=0.956334 [Epoch 057] speed: 34 samples/sec time cost: 7345.899586 [Epoch 057] validation: acc-top1=66.099422 acc-top5=85.617781 loss=1.597277 Epoch[058] Batch [0049]/[3759] Speed: 24.855564 samples/sec accuracy=76.937500 loss=0.925939 lr=0.001000 Epoch[058] Batch [0099]/[3759] Speed: 35.345082 samples/sec accuracy=76.734375 loss=0.930473 lr=0.001000 Epoch[058] Batch [0149]/[3759] Speed: 35.171432 samples/sec accuracy=76.635417 loss=0.940027 lr=0.001000 Epoch[058] Batch [0199]/[3759] Speed: 35.438916 samples/sec accuracy=76.859375 loss=0.931023 lr=0.001000 Epoch[058] Batch [0249]/[3759] Speed: 35.385893 samples/sec accuracy=76.618750 loss=0.943161 lr=0.001000 Epoch[058] Batch [0299]/[3759] Speed: 35.407726 samples/sec accuracy=76.515625 loss=0.943639 lr=0.001000 Epoch[058] Batch [0349]/[3759] Speed: 35.292866 samples/sec accuracy=76.366071 loss=0.947695 lr=0.001000 Epoch[058] Batch [0399]/[3759] Speed: 35.339737 samples/sec accuracy=76.429688 loss=0.945268 lr=0.001000 Epoch[058] Batch [0449]/[3759] Speed: 35.061860 samples/sec accuracy=76.375000 loss=0.950802 lr=0.001000 Epoch[058] Batch [0499]/[3759] Speed: 35.480577 samples/sec accuracy=76.353125 loss=0.949212 lr=0.001000 Epoch[058] Batch [0549]/[3759] Speed: 35.186103 samples/sec accuracy=76.434659 loss=0.945410 lr=0.001000 Epoch[058] Batch [0599]/[3759] Speed: 35.249613 samples/sec accuracy=76.309896 loss=0.949618 lr=0.001000 Epoch[058] Batch [0649]/[3759] Speed: 35.244949 samples/sec accuracy=76.242788 loss=0.950089 lr=0.001000 Epoch[058] Batch [0699]/[3759] Speed: 35.323817 samples/sec accuracy=76.165179 loss=0.953720 lr=0.001000 Epoch[058] Batch [0749]/[3759] Speed: 35.427689 samples/sec accuracy=76.116667 loss=0.953646 lr=0.001000 Epoch[058] Batch [0799]/[3759] Speed: 35.213084 samples/sec accuracy=76.125000 loss=0.951817 lr=0.001000 Epoch[058] Batch [0849]/[3759] Speed: 35.495602 samples/sec accuracy=76.147059 loss=0.950369 lr=0.001000 Epoch[058] Batch [0899]/[3759] Speed: 35.444412 samples/sec accuracy=76.182292 loss=0.949616 lr=0.001000 Epoch[058] 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accuracy=76.290179 loss=0.946425 lr=0.001000 Epoch[058] Batch [1449]/[3759] Speed: 34.728802 samples/sec accuracy=76.324353 loss=0.944854 lr=0.001000 Epoch[058] Batch [1499]/[3759] Speed: 35.276680 samples/sec accuracy=76.360417 loss=0.942623 lr=0.001000 Epoch[058] Batch [1549]/[3759] Speed: 34.851077 samples/sec accuracy=76.380040 loss=0.942103 lr=0.001000 Epoch[058] Batch [1599]/[3759] Speed: 35.259595 samples/sec accuracy=76.356445 loss=0.942198 lr=0.001000 Epoch[058] Batch [1649]/[3759] Speed: 34.744002 samples/sec accuracy=76.361742 loss=0.942586 lr=0.001000 Epoch[058] Batch [1699]/[3759] Speed: 35.142694 samples/sec accuracy=76.337316 loss=0.942281 lr=0.001000 Epoch[058] Batch [1749]/[3759] Speed: 34.526849 samples/sec accuracy=76.302679 loss=0.943090 lr=0.001000 Epoch[058] Batch [1799]/[3759] Speed: 34.922933 samples/sec accuracy=76.296007 loss=0.943669 lr=0.001000 Epoch[058] Batch [1849]/[3759] Speed: 35.145277 samples/sec accuracy=76.306588 loss=0.942528 lr=0.001000 Epoch[058] 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[0049]/[0303]: acc-top1=66.750000 acc-top5=85.843750 Batch [0099]/[0303]: acc-top1=66.265625 acc-top5=85.453125 Batch [0149]/[0303]: acc-top1=66.656250 acc-top5=85.708333 Batch [0199]/[0303]: acc-top1=66.156250 acc-top5=85.765625 Batch [0249]/[0303]: acc-top1=65.943750 acc-top5=85.600000 Batch [0299]/[0303]: acc-top1=65.869792 acc-top5=85.609375 [Epoch 058] training: accuracy=76.219989 loss=0.949841 [Epoch 058] speed: 34 samples/sec time cost: 7339.148417 [Epoch 058] validation: acc-top1=65.846741 acc-top5=85.612624 loss=1.604402 Epoch[059] Batch [0049]/[3760] Speed: 24.723206 samples/sec accuracy=75.781250 loss=0.962573 lr=0.001000 Epoch[059] Batch [0099]/[3760] Speed: 35.146913 samples/sec accuracy=76.703125 loss=0.942364 lr=0.001000 Epoch[059] Batch [0149]/[3760] Speed: 34.954088 samples/sec accuracy=76.645833 loss=0.938896 lr=0.001000 Epoch[059] Batch [0199]/[3760] Speed: 35.052113 samples/sec accuracy=76.828125 loss=0.937244 lr=0.001000 Epoch[059] Batch [0249]/[3760] Speed: 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35.530140 samples/sec accuracy=76.552419 loss=0.937413 lr=0.001000 Epoch[059] Batch [3149]/[3760] Speed: 34.653087 samples/sec accuracy=76.560020 loss=0.936890 lr=0.001000 Epoch[059] Batch [3199]/[3760] Speed: 35.453119 samples/sec accuracy=76.537598 loss=0.937618 lr=0.001000 Epoch[059] Batch [3249]/[3760] Speed: 34.686244 samples/sec accuracy=76.521154 loss=0.937960 lr=0.001000 Epoch[059] Batch [3299]/[3760] Speed: 35.362163 samples/sec accuracy=76.528883 loss=0.937468 lr=0.001000 Epoch[059] Batch [3349]/[3760] Speed: 35.081408 samples/sec accuracy=76.517724 loss=0.938215 lr=0.001000 Epoch[059] Batch [3399]/[3760] Speed: 35.194301 samples/sec accuracy=76.514706 loss=0.938945 lr=0.001000 Epoch[059] Batch [3449]/[3760] Speed: 35.294474 samples/sec accuracy=76.514040 loss=0.939161 lr=0.001000 Epoch[059] Batch [3499]/[3760] Speed: 35.206138 samples/sec accuracy=76.516964 loss=0.938792 lr=0.001000 Epoch[059] Batch [3549]/[3760] Speed: 35.590001 samples/sec accuracy=76.513204 loss=0.938764 lr=0.001000 Epoch[059] Batch [3599]/[3760] Speed: 35.185807 samples/sec accuracy=76.532986 loss=0.938666 lr=0.001000 Epoch[059] Batch [3649]/[3760] Speed: 35.192604 samples/sec accuracy=76.535103 loss=0.938642 lr=0.001000 Epoch[059] Batch [3699]/[3760] Speed: 35.099761 samples/sec accuracy=76.537584 loss=0.938445 lr=0.001000 Epoch[059] Batch [3749]/[3760] Speed: 36.585538 samples/sec accuracy=76.532917 loss=0.938755 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.937500 acc-top5=85.875000 Batch [0099]/[0303]: acc-top1=65.921875 acc-top5=85.468750 Batch [0149]/[0303]: acc-top1=66.489583 acc-top5=85.697917 Batch [0199]/[0303]: acc-top1=66.179688 acc-top5=85.804688 Batch [0249]/[0303]: acc-top1=66.012500 acc-top5=85.643750 Batch [0299]/[0303]: acc-top1=65.937500 acc-top5=85.687500 [Epoch 059] training: accuracy=76.527593 loss=0.938825 [Epoch 059] speed: 34 samples/sec time cost: 7341.777294 [Epoch 059] validation: acc-top1=65.944719 acc-top5=85.695132 loss=1.606369 Epoch[060] Batch 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accuracy=76.739272 loss=0.929854 lr=0.001000 Epoch[060] Batch [3399]/[3760] Speed: 35.007803 samples/sec accuracy=76.745404 loss=0.929523 lr=0.001000 Epoch[060] Batch [3449]/[3760] Speed: 35.179482 samples/sec accuracy=76.732337 loss=0.929838 lr=0.001000 Epoch[060] Batch [3499]/[3760] Speed: 35.123401 samples/sec accuracy=76.720536 loss=0.930240 lr=0.001000 Epoch[060] Batch [3549]/[3760] Speed: 35.323458 samples/sec accuracy=76.717430 loss=0.930591 lr=0.001000 Epoch[060] Batch [3599]/[3760] Speed: 34.747317 samples/sec accuracy=76.722656 loss=0.930523 lr=0.001000 Epoch[060] Batch [3649]/[3760] Speed: 35.266698 samples/sec accuracy=76.715325 loss=0.930638 lr=0.001000 Epoch[060] Batch [3699]/[3760] Speed: 34.816709 samples/sec accuracy=76.710726 loss=0.931142 lr=0.001000 Epoch[060] Batch [3749]/[3760] Speed: 36.371222 samples/sec accuracy=76.702500 loss=0.931668 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.000000 acc-top5=86.250000 Batch [0099]/[0303]: acc-top1=66.171875 acc-top5=85.343750 Batch [0149]/[0303]: acc-top1=66.333333 acc-top5=85.531250 Batch [0199]/[0303]: acc-top1=66.117188 acc-top5=85.609375 Batch [0249]/[0303]: acc-top1=65.893750 acc-top5=85.437500 Batch [0299]/[0303]: acc-top1=65.796875 acc-top5=85.427083 [Epoch 060] training: accuracy=76.709192 loss=0.931424 [Epoch 060] speed: 34 samples/sec time cost: 7336.250678 [Epoch 060] validation: acc-top1=65.774546 acc-top5=85.442450 loss=1.605006 Epoch[061] Batch [0049]/[3759] Speed: 24.533479 samples/sec accuracy=77.593750 loss=0.897086 lr=0.001000 Epoch[061] Batch [0099]/[3759] Speed: 35.136280 samples/sec accuracy=78.203125 loss=0.875922 lr=0.001000 Epoch[061] Batch [0149]/[3759] Speed: 34.909691 samples/sec accuracy=77.500000 loss=0.905771 lr=0.001000 Epoch[061] Batch [0199]/[3759] Speed: 35.129293 samples/sec accuracy=77.578125 loss=0.901974 lr=0.001000 Epoch[061] Batch [0249]/[3759] Speed: 35.190282 samples/sec accuracy=77.706250 loss=0.895880 lr=0.001000 Epoch[061] Batch [0299]/[3759] 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accuracy=77.035846 loss=0.916974 lr=0.001000 Epoch[061] Batch [1749]/[3759] Speed: 35.318543 samples/sec accuracy=77.048214 loss=0.916291 lr=0.001000 Epoch[061] Batch [1799]/[3759] Speed: 35.183380 samples/sec accuracy=77.063368 loss=0.915042 lr=0.001000 Epoch[061] Batch [1849]/[3759] Speed: 35.346533 samples/sec accuracy=77.059966 loss=0.915186 lr=0.001000 Epoch[061] Batch [1899]/[3759] Speed: 34.791412 samples/sec accuracy=76.998355 loss=0.918313 lr=0.001000 Epoch[061] Batch [1949]/[3759] Speed: 35.479121 samples/sec accuracy=76.996795 loss=0.918091 lr=0.001000 Epoch[061] Batch [1999]/[3759] Speed: 34.870957 samples/sec accuracy=76.989063 loss=0.918788 lr=0.001000 Epoch[061] Batch [2049]/[3759] Speed: 35.395507 samples/sec accuracy=76.951982 loss=0.919754 lr=0.001000 Epoch[061] Batch [2099]/[3759] Speed: 34.826476 samples/sec accuracy=76.972470 loss=0.918826 lr=0.001000 Epoch[061] Batch [2149]/[3759] Speed: 35.326125 samples/sec accuracy=76.941860 loss=0.919931 lr=0.001000 Epoch[061] 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accuracy=77.022995 loss=0.917862 lr=0.001000 Epoch[061] Batch [2699]/[3759] Speed: 35.205873 samples/sec accuracy=77.005208 loss=0.918724 lr=0.001000 Epoch[061] Batch [2749]/[3759] Speed: 34.606905 samples/sec accuracy=77.003977 loss=0.918673 lr=0.001000 Epoch[061] Batch [2799]/[3759] Speed: 35.222010 samples/sec accuracy=77.011161 loss=0.918440 lr=0.001000 Epoch[061] Batch [2849]/[3759] Speed: 34.593448 samples/sec accuracy=77.007127 loss=0.917855 lr=0.001000 Epoch[061] Batch [2899]/[3759] Speed: 35.212542 samples/sec accuracy=77.014547 loss=0.917466 lr=0.001000 Epoch[061] Batch [2949]/[3759] Speed: 34.910833 samples/sec accuracy=77.013242 loss=0.917292 lr=0.001000 Epoch[061] Batch [2999]/[3759] Speed: 35.004535 samples/sec accuracy=77.004688 loss=0.917874 lr=0.001000 Epoch[061] Batch [3049]/[3759] Speed: 34.989577 samples/sec accuracy=76.979508 loss=0.918676 lr=0.001000 Epoch[061] Batch [3099]/[3759] Speed: 34.870808 samples/sec accuracy=76.973286 loss=0.919269 lr=0.001000 Epoch[061] Batch [3149]/[3759] Speed: 35.060712 samples/sec accuracy=76.978671 loss=0.919240 lr=0.001000 Epoch[061] Batch [3199]/[3759] Speed: 34.475514 samples/sec accuracy=76.996094 loss=0.918781 lr=0.001000 Epoch[061] Batch [3249]/[3759] Speed: 35.499825 samples/sec accuracy=77.007212 loss=0.918310 lr=0.001000 Epoch[061] Batch [3299]/[3759] Speed: 34.670786 samples/sec accuracy=76.992424 loss=0.918941 lr=0.001000 Epoch[061] Batch [3349]/[3759] Speed: 35.420567 samples/sec accuracy=76.996269 loss=0.918644 lr=0.001000 Epoch[061] Batch [3399]/[3759] Speed: 34.976406 samples/sec accuracy=77.000000 loss=0.918755 lr=0.001000 Epoch[061] Batch [3449]/[3759] Speed: 35.424796 samples/sec accuracy=76.994565 loss=0.918877 lr=0.001000 Epoch[061] Batch [3499]/[3759] Speed: 34.986551 samples/sec accuracy=76.993750 loss=0.918709 lr=0.001000 Epoch[061] Batch [3549]/[3759] Speed: 35.317975 samples/sec accuracy=76.999560 loss=0.918751 lr=0.001000 Epoch[061] Batch [3599]/[3759] Speed: 35.173979 samples/sec accuracy=76.977865 loss=0.919623 lr=0.001000 Epoch[061] Batch [3649]/[3759] Speed: 35.105249 samples/sec accuracy=76.964897 loss=0.920212 lr=0.001000 Epoch[061] Batch [3699]/[3759] Speed: 35.120302 samples/sec accuracy=76.956503 loss=0.920939 lr=0.001000 Epoch[061] Batch [3749]/[3759] Speed: 36.282386 samples/sec accuracy=76.972917 loss=0.920357 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.687500 acc-top5=85.937500 Batch [0099]/[0303]: acc-top1=66.187500 acc-top5=85.390625 Batch [0149]/[0303]: acc-top1=66.635417 acc-top5=85.593750 Batch [0199]/[0303]: acc-top1=66.382812 acc-top5=85.679688 Batch [0249]/[0303]: acc-top1=66.043750 acc-top5=85.512500 Batch [0299]/[0303]: acc-top1=65.937500 acc-top5=85.645833 [Epoch 061] training: accuracy=76.970271 loss=0.920525 [Epoch 061] speed: 34 samples/sec time cost: 7337.982986 [Epoch 061] validation: acc-top1=65.929249 acc-top5=85.664191 loss=1.619161 Epoch[062] Batch [0049]/[3760] Speed: 24.687820 samples/sec accuracy=77.562500 loss=0.893895 lr=0.001000 Epoch[062] Batch [0099]/[3760] Speed: 35.283215 samples/sec accuracy=77.000000 loss=0.919601 lr=0.001000 Epoch[062] Batch [0149]/[3760] Speed: 35.030834 samples/sec accuracy=76.770833 loss=0.924453 lr=0.001000 Epoch[062] Batch [0199]/[3760] Speed: 35.352689 samples/sec accuracy=77.187500 loss=0.913193 lr=0.001000 Epoch[062] Batch [0249]/[3760] Speed: 35.389316 samples/sec accuracy=77.187500 loss=0.912815 lr=0.001000 Epoch[062] Batch [0299]/[3760] Speed: 35.281852 samples/sec accuracy=77.239583 loss=0.910362 lr=0.001000 Epoch[062] Batch [0349]/[3760] Speed: 35.294551 samples/sec accuracy=77.267857 loss=0.908336 lr=0.001000 Epoch[062] Batch [0399]/[3760] Speed: 34.936260 samples/sec accuracy=77.191406 loss=0.910102 lr=0.001000 Epoch[062] Batch [0449]/[3760] Speed: 34.978165 samples/sec accuracy=77.225694 loss=0.907830 lr=0.001000 Epoch[062] Batch [0499]/[3760] Speed: 35.152541 samples/sec accuracy=77.309375 loss=0.905938 lr=0.001000 Epoch[062] Batch [0549]/[3760] Speed: 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34.365418 samples/sec accuracy=77.209559 loss=0.909536 lr=0.001000 Epoch[062] Batch [3449]/[3760] Speed: 35.194582 samples/sec accuracy=77.211504 loss=0.910036 lr=0.001000 Epoch[062] Batch [3499]/[3760] Speed: 34.467629 samples/sec accuracy=77.206250 loss=0.910156 lr=0.001000 Epoch[062] Batch [3549]/[3760] Speed: 34.940197 samples/sec accuracy=77.191461 loss=0.910635 lr=0.001000 Epoch[062] Batch [3599]/[3760] Speed: 34.818938 samples/sec accuracy=77.191406 loss=0.911148 lr=0.001000 Epoch[062] Batch [3649]/[3760] Speed: 34.652044 samples/sec accuracy=77.178938 loss=0.911243 lr=0.001000 Epoch[062] Batch [3699]/[3760] Speed: 34.975300 samples/sec accuracy=77.189611 loss=0.911186 lr=0.001000 Epoch[062] Batch [3749]/[3760] Speed: 36.042218 samples/sec accuracy=77.180417 loss=0.911719 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.312500 acc-top5=85.843750 Batch [0099]/[0303]: acc-top1=66.593750 acc-top5=85.265625 Batch [0149]/[0303]: acc-top1=66.968750 acc-top5=85.447917 Batch [0199]/[0303]: acc-top1=66.539062 acc-top5=85.476562 Batch [0249]/[0303]: acc-top1=66.187500 acc-top5=85.381250 Batch [0299]/[0303]: acc-top1=66.067708 acc-top5=85.432292 [Epoch 062] training: accuracy=77.182929 loss=0.911677 [Epoch 062] speed: 34 samples/sec time cost: 7332.714885 [Epoch 062] validation: acc-top1=66.058168 acc-top5=85.442450 loss=1.607593 Epoch[063] Batch [0049]/[3760] Speed: 25.355602 samples/sec accuracy=77.281250 loss=0.915931 lr=0.001000 Epoch[063] Batch [0099]/[3760] Speed: 35.332564 samples/sec accuracy=77.562500 loss=0.903206 lr=0.001000 Epoch[063] Batch [0149]/[3760] Speed: 35.290514 samples/sec accuracy=77.593750 loss=0.902887 lr=0.001000 Epoch[063] Batch [0199]/[3760] Speed: 35.224946 samples/sec accuracy=77.843750 loss=0.888401 lr=0.001000 Epoch[063] Batch [0249]/[3760] Speed: 35.233731 samples/sec accuracy=77.887500 loss=0.890404 lr=0.001000 Epoch[063] Batch [0299]/[3760] Speed: 35.273468 samples/sec accuracy=77.984375 loss=0.883623 lr=0.001000 Epoch[063] Batch 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accuracy=77.644531 loss=0.897044 lr=0.001000 Epoch[063] Batch [0849]/[3760] Speed: 34.870510 samples/sec accuracy=77.601103 loss=0.899273 lr=0.001000 Epoch[063] Batch [0899]/[3760] Speed: 35.102187 samples/sec accuracy=77.543403 loss=0.900360 lr=0.001000 Epoch[063] Batch [0949]/[3760] Speed: 34.813291 samples/sec accuracy=77.634868 loss=0.896148 lr=0.001000 Epoch[063] Batch [0999]/[3760] Speed: 34.956917 samples/sec accuracy=77.615625 loss=0.897068 lr=0.001000 Epoch[063] Batch [1049]/[3760] Speed: 35.041180 samples/sec accuracy=77.690476 loss=0.894696 lr=0.001000 Epoch[063] Batch [1099]/[3760] Speed: 34.671112 samples/sec accuracy=77.666193 loss=0.896265 lr=0.001000 Epoch[063] Batch [1149]/[3760] Speed: 35.084759 samples/sec accuracy=77.634511 loss=0.896325 lr=0.001000 Epoch[063] Batch [1199]/[3760] Speed: 34.687479 samples/sec accuracy=77.574219 loss=0.899089 lr=0.001000 Epoch[063] Batch [1249]/[3760] Speed: 35.213053 samples/sec accuracy=77.551250 loss=0.899127 lr=0.001000 Epoch[063] 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accuracy=77.459821 loss=0.903229 lr=0.001000 Epoch[063] Batch [1799]/[3760] Speed: 35.073404 samples/sec accuracy=77.446181 loss=0.903320 lr=0.001000 Epoch[063] Batch [1849]/[3760] Speed: 34.581150 samples/sec accuracy=77.418074 loss=0.904226 lr=0.001000 Epoch[063] Batch [1899]/[3760] Speed: 35.281257 samples/sec accuracy=77.431743 loss=0.903766 lr=0.001000 Epoch[063] Batch [1949]/[3760] Speed: 34.534070 samples/sec accuracy=77.439904 loss=0.903468 lr=0.001000 Epoch[063] Batch [1999]/[3760] Speed: 35.240031 samples/sec accuracy=77.444531 loss=0.903134 lr=0.001000 Epoch[063] Batch [2049]/[3760] Speed: 34.528741 samples/sec accuracy=77.419970 loss=0.904256 lr=0.001000 Epoch[063] Batch [2099]/[3760] Speed: 35.131170 samples/sec accuracy=77.437500 loss=0.903369 lr=0.001000 Epoch[063] Batch [2149]/[3760] Speed: 34.764151 samples/sec accuracy=77.433140 loss=0.903703 lr=0.001000 Epoch[063] Batch [2199]/[3760] Speed: 34.749871 samples/sec accuracy=77.438210 loss=0.903328 lr=0.001000 Epoch[063] 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accuracy=77.413773 loss=0.904783 lr=0.001000 Epoch[063] Batch [2749]/[3760] Speed: 34.691008 samples/sec accuracy=77.429545 loss=0.904177 lr=0.001000 Epoch[063] Batch [2799]/[3760] Speed: 34.893562 samples/sec accuracy=77.449777 loss=0.903762 lr=0.001000 Epoch[063] Batch [2849]/[3760] Speed: 34.435524 samples/sec accuracy=77.434759 loss=0.904354 lr=0.001000 Epoch[063] Batch [2899]/[3760] Speed: 35.005702 samples/sec accuracy=77.432112 loss=0.904618 lr=0.001000 Epoch[063] Batch [2949]/[3760] Speed: 34.455823 samples/sec accuracy=77.407309 loss=0.905347 lr=0.001000 Epoch[063] Batch [2999]/[3760] Speed: 35.092959 samples/sec accuracy=77.395833 loss=0.905937 lr=0.001000 Epoch[063] Batch [3049]/[3760] Speed: 34.270800 samples/sec accuracy=77.391906 loss=0.905634 lr=0.001000 Epoch[063] Batch [3099]/[3760] Speed: 34.958504 samples/sec accuracy=77.373992 loss=0.906171 lr=0.001000 Epoch[063] Batch [3149]/[3760] Speed: 34.718707 samples/sec accuracy=77.361111 loss=0.906287 lr=0.001000 Epoch[063] Batch [3199]/[3760] Speed: 34.973332 samples/sec accuracy=77.352539 loss=0.906616 lr=0.001000 Epoch[063] Batch [3249]/[3760] Speed: 35.032602 samples/sec accuracy=77.346154 loss=0.907125 lr=0.001000 Epoch[063] Batch [3299]/[3760] Speed: 34.751322 samples/sec accuracy=77.332386 loss=0.907427 lr=0.001000 Epoch[063] Batch [3349]/[3760] Speed: 35.003867 samples/sec accuracy=77.348881 loss=0.906840 lr=0.001000 Epoch[063] Batch [3399]/[3760] Speed: 34.851112 samples/sec accuracy=77.348805 loss=0.906951 lr=0.001000 Epoch[063] Batch [3449]/[3760] Speed: 35.242765 samples/sec accuracy=77.333786 loss=0.907404 lr=0.001000 Epoch[063] Batch [3499]/[3760] Speed: 35.062137 samples/sec accuracy=77.341071 loss=0.907311 lr=0.001000 Epoch[063] Batch [3549]/[3760] Speed: 35.215425 samples/sec accuracy=77.327905 loss=0.907266 lr=0.001000 Epoch[063] Batch [3599]/[3760] Speed: 35.046953 samples/sec accuracy=77.332899 loss=0.907011 lr=0.001000 Epoch[063] Batch [3649]/[3760] Speed: 35.155157 samples/sec accuracy=77.337329 loss=0.906866 lr=0.001000 Epoch[063] Batch [3699]/[3760] Speed: 34.810121 samples/sec accuracy=77.335304 loss=0.906884 lr=0.001000 Epoch[063] Batch [3749]/[3760] Speed: 36.568540 samples/sec accuracy=77.334167 loss=0.906917 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.187500 acc-top5=86.187500 Batch [0099]/[0303]: acc-top1=66.750000 acc-top5=85.484375 Batch [0149]/[0303]: acc-top1=66.947917 acc-top5=85.718750 Batch [0199]/[0303]: acc-top1=66.640625 acc-top5=85.718750 Batch [0249]/[0303]: acc-top1=66.306250 acc-top5=85.537500 Batch [0299]/[0303]: acc-top1=66.151042 acc-top5=85.588542 [Epoch 063] training: accuracy=77.333361 loss=0.906898 [Epoch 063] speed: 34 samples/sec time cost: 7381.118358 [Epoch 063] validation: acc-top1=66.130363 acc-top5=85.597153 loss=1.617057 Epoch[064] Batch [0049]/[3759] Speed: 25.063082 samples/sec accuracy=77.093750 loss=0.921736 lr=0.001000 Epoch[064] Batch [0099]/[3759] Speed: 35.212296 samples/sec accuracy=77.359375 loss=0.915548 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35.373146 samples/sec accuracy=77.568841 loss=0.894872 lr=0.001000 Epoch[064] Batch [3499]/[3759] Speed: 35.051220 samples/sec accuracy=77.563393 loss=0.895332 lr=0.001000 Epoch[064] Batch [3549]/[3759] Speed: 35.402611 samples/sec accuracy=77.548415 loss=0.895842 lr=0.001000 Epoch[064] Batch [3599]/[3759] Speed: 34.804368 samples/sec accuracy=77.539062 loss=0.895791 lr=0.001000 Epoch[064] Batch [3649]/[3759] Speed: 35.376720 samples/sec accuracy=77.519692 loss=0.896388 lr=0.001000 Epoch[064] Batch [3699]/[3759] Speed: 34.979838 samples/sec accuracy=77.527872 loss=0.896223 lr=0.001000 Epoch[064] Batch [3749]/[3759] Speed: 36.404996 samples/sec accuracy=77.507083 loss=0.897380 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.687500 acc-top5=85.343750 Batch [0099]/[0303]: acc-top1=66.015625 acc-top5=85.125000 Batch [0149]/[0303]: acc-top1=66.145833 acc-top5=85.250000 Batch [0199]/[0303]: acc-top1=66.000000 acc-top5=85.187500 Batch [0249]/[0303]: acc-top1=65.837500 acc-top5=85.075000 Batch [0299]/[0303]: acc-top1=65.786458 acc-top5=85.088542 [Epoch 064] training: accuracy=77.507316 loss=0.897362 [Epoch 064] speed: 35 samples/sec time cost: 7325.899477 [Epoch 064] validation: acc-top1=65.815800 acc-top5=85.096947 loss=1.620297 Epoch[065] Batch [0049]/[3760] Speed: 24.983024 samples/sec accuracy=78.375000 loss=0.869211 lr=0.001000 Epoch[065] Batch [0099]/[3760] Speed: 35.295087 samples/sec accuracy=78.078125 loss=0.888280 lr=0.001000 Epoch[065] Batch [0149]/[3760] Speed: 35.349977 samples/sec accuracy=77.885417 loss=0.893098 lr=0.001000 Epoch[065] Batch [0199]/[3760] Speed: 35.209185 samples/sec accuracy=78.375000 loss=0.871140 lr=0.001000 Epoch[065] Batch [0249]/[3760] Speed: 35.400560 samples/sec accuracy=78.293750 loss=0.869804 lr=0.001000 Epoch[065] Batch [0299]/[3760] Speed: 35.104880 samples/sec accuracy=78.239583 loss=0.869126 lr=0.001000 Epoch[065] Batch [0349]/[3760] Speed: 35.260892 samples/sec accuracy=78.223214 loss=0.865238 lr=0.001000 Epoch[065] Batch 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accuracy=77.640625 loss=0.886242 lr=0.001000 Epoch[065] Batch [1849]/[3760] Speed: 35.097785 samples/sec accuracy=77.653716 loss=0.885944 lr=0.001000 Epoch[065] Batch [1899]/[3760] Speed: 35.086062 samples/sec accuracy=77.666118 loss=0.885646 lr=0.001000 Epoch[065] Batch [1949]/[3760] Speed: 35.247436 samples/sec accuracy=77.688301 loss=0.884469 lr=0.001000 Epoch[065] Batch [1999]/[3760] Speed: 35.055693 samples/sec accuracy=77.657813 loss=0.885413 lr=0.001000 Epoch[065] Batch [2049]/[3760] Speed: 35.051758 samples/sec accuracy=77.661585 loss=0.885455 lr=0.001000 Epoch[065] Batch [2099]/[3760] Speed: 35.131342 samples/sec accuracy=77.662946 loss=0.886140 lr=0.001000 Epoch[065] Batch [2149]/[3760] Speed: 35.326015 samples/sec accuracy=77.670058 loss=0.885757 lr=0.001000 Epoch[065] Batch [2199]/[3760] Speed: 34.916381 samples/sec accuracy=77.656960 loss=0.885469 lr=0.001000 Epoch[065] Batch [2249]/[3760] Speed: 35.378709 samples/sec accuracy=77.650000 loss=0.886029 lr=0.001000 Epoch[065] 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accuracy=77.610795 loss=0.888967 lr=0.001000 Epoch[065] Batch [2799]/[3760] Speed: 35.281115 samples/sec accuracy=77.637835 loss=0.888781 lr=0.001000 Epoch[065] Batch [2849]/[3760] Speed: 35.420489 samples/sec accuracy=77.635417 loss=0.889119 lr=0.001000 Epoch[065] Batch [2899]/[3760] Speed: 35.261242 samples/sec accuracy=77.636853 loss=0.889293 lr=0.001000 Epoch[065] Batch [2949]/[3760] Speed: 35.509867 samples/sec accuracy=77.611229 loss=0.889962 lr=0.001000 Epoch[065] Batch [2999]/[3760] Speed: 35.412918 samples/sec accuracy=77.609896 loss=0.890311 lr=0.001000 Epoch[065] Batch [3049]/[3760] Speed: 35.325873 samples/sec accuracy=77.608094 loss=0.890796 lr=0.001000 Epoch[065] Batch [3099]/[3760] Speed: 35.196269 samples/sec accuracy=77.612399 loss=0.890658 lr=0.001000 Epoch[065] Batch [3149]/[3760] Speed: 35.314412 samples/sec accuracy=77.592758 loss=0.891373 lr=0.001000 Epoch[065] Batch [3199]/[3760] Speed: 35.504954 samples/sec accuracy=77.575195 loss=0.892293 lr=0.001000 Epoch[065] 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accuracy=77.584459 loss=0.891643 lr=0.001000 Epoch[065] Batch [3749]/[3760] Speed: 36.163239 samples/sec accuracy=77.585417 loss=0.891603 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.125000 acc-top5=85.375000 Batch [0099]/[0303]: acc-top1=66.359375 acc-top5=85.062500 Batch [0149]/[0303]: acc-top1=66.750000 acc-top5=85.416667 Batch [0199]/[0303]: acc-top1=66.406250 acc-top5=85.554688 Batch [0249]/[0303]: acc-top1=66.056250 acc-top5=85.456250 Batch [0299]/[0303]: acc-top1=66.000000 acc-top5=85.572917 [Epoch 065] training: accuracy=77.593501 loss=0.891324 [Epoch 065] speed: 35 samples/sec time cost: 7320.298661 [Epoch 065] validation: acc-top1=66.001444 acc-top5=85.581683 loss=1.615569 Epoch[066] Batch [0049]/[3759] Speed: 25.318837 samples/sec accuracy=78.093750 loss=0.864238 lr=0.001000 Epoch[066] Batch [0099]/[3759] Speed: 35.235559 samples/sec accuracy=78.234375 loss=0.875618 lr=0.001000 Epoch[066] Batch [0149]/[3759] Speed: 35.243384 samples/sec accuracy=78.708333 loss=0.869946 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35.338520 samples/sec accuracy=77.848661 loss=0.885099 lr=0.001000 Epoch[066] Batch [3549]/[3759] Speed: 35.110718 samples/sec accuracy=77.869278 loss=0.884306 lr=0.001000 Epoch[066] Batch [3599]/[3759] Speed: 35.233916 samples/sec accuracy=77.871528 loss=0.883839 lr=0.001000 Epoch[066] Batch [3649]/[3759] Speed: 35.123901 samples/sec accuracy=77.872432 loss=0.883859 lr=0.001000 Epoch[066] Batch [3699]/[3759] Speed: 35.170667 samples/sec accuracy=77.883024 loss=0.883555 lr=0.001000 Epoch[066] Batch [3749]/[3759] Speed: 36.378269 samples/sec accuracy=77.881667 loss=0.883297 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.531250 acc-top5=85.937500 Batch [0099]/[0303]: acc-top1=65.765625 acc-top5=85.375000 Batch [0149]/[0303]: acc-top1=66.166667 acc-top5=85.468750 Batch [0199]/[0303]: acc-top1=65.992188 acc-top5=85.570312 Batch [0249]/[0303]: acc-top1=65.650000 acc-top5=85.525000 Batch [0299]/[0303]: acc-top1=65.661458 acc-top5=85.578125 [Epoch 066] training: accuracy=77.873936 loss=0.883638 [Epoch 066] speed: 34 samples/sec time cost: 7336.672817 [Epoch 066] validation: acc-top1=65.645627 acc-top5=85.612624 loss=1.629424 Epoch[067] Batch [0049]/[3760] Speed: 25.268924 samples/sec accuracy=78.156250 loss=0.863064 lr=0.001000 Epoch[067] Batch [0099]/[3760] Speed: 35.240624 samples/sec accuracy=78.625000 loss=0.848744 lr=0.001000 Epoch[067] Batch [0149]/[3760] Speed: 34.951612 samples/sec accuracy=78.270833 loss=0.856968 lr=0.001000 Epoch[067] Batch [0199]/[3760] Speed: 35.350259 samples/sec accuracy=78.179688 loss=0.861901 lr=0.001000 Epoch[067] Batch [0249]/[3760] Speed: 34.909213 samples/sec accuracy=78.350000 loss=0.857371 lr=0.001000 Epoch[067] Batch [0299]/[3760] Speed: 35.256747 samples/sec accuracy=78.427083 loss=0.855080 lr=0.001000 Epoch[067] Batch [0349]/[3760] Speed: 35.105223 samples/sec accuracy=78.450893 loss=0.854763 lr=0.001000 Epoch[067] Batch [0399]/[3760] Speed: 35.287903 samples/sec accuracy=78.492188 loss=0.857228 lr=0.001000 Epoch[067] Batch 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accuracy=78.123311 loss=0.871772 lr=0.001000 Epoch[067] Batch [1899]/[3760] Speed: 35.307831 samples/sec accuracy=78.119243 loss=0.872664 lr=0.001000 Epoch[067] Batch [1949]/[3760] Speed: 34.879053 samples/sec accuracy=78.116186 loss=0.873158 lr=0.001000 Epoch[067] Batch [1999]/[3760] Speed: 35.195691 samples/sec accuracy=78.136719 loss=0.872288 lr=0.001000 Epoch[067] Batch [2049]/[3760] Speed: 34.654562 samples/sec accuracy=78.099848 loss=0.873318 lr=0.001000 Epoch[067] Batch [2099]/[3760] Speed: 35.143668 samples/sec accuracy=78.093006 loss=0.874517 lr=0.001000 Epoch[067] Batch [2149]/[3760] Speed: 34.482655 samples/sec accuracy=78.065407 loss=0.875971 lr=0.001000 Epoch[067] Batch [2199]/[3760] Speed: 35.310315 samples/sec accuracy=78.071733 loss=0.876209 lr=0.001000 Epoch[067] Batch [2249]/[3760] Speed: 34.727553 samples/sec accuracy=78.086111 loss=0.875755 lr=0.001000 Epoch[067] Batch [2299]/[3760] Speed: 34.914610 samples/sec accuracy=78.067255 loss=0.876481 lr=0.001000 Epoch[067] 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accuracy=78.051339 loss=0.877491 lr=0.001000 Epoch[067] Batch [2849]/[3760] Speed: 34.893040 samples/sec accuracy=78.029057 loss=0.878294 lr=0.001000 Epoch[067] Batch [2899]/[3760] Speed: 34.723119 samples/sec accuracy=78.009159 loss=0.878332 lr=0.001000 Epoch[067] Batch [2949]/[3760] Speed: 34.504604 samples/sec accuracy=78.012182 loss=0.878366 lr=0.001000 Epoch[067] Batch [2999]/[3760] Speed: 35.056433 samples/sec accuracy=78.021875 loss=0.878088 lr=0.001000 Epoch[067] Batch [3049]/[3760] Speed: 34.228665 samples/sec accuracy=78.024078 loss=0.878480 lr=0.001000 Epoch[067] Batch [3099]/[3760] Speed: 35.125825 samples/sec accuracy=78.018145 loss=0.878657 lr=0.001000 Epoch[067] Batch [3149]/[3760] Speed: 34.417105 samples/sec accuracy=78.011905 loss=0.878555 lr=0.001000 Epoch[067] Batch [3199]/[3760] Speed: 35.033498 samples/sec accuracy=78.017578 loss=0.878389 lr=0.001000 Epoch[067] Batch [3249]/[3760] Speed: 34.508397 samples/sec accuracy=78.013942 loss=0.878523 lr=0.001000 Epoch[067] 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accuracy=77.990833 loss=0.878984 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.906250 acc-top5=85.562500 Batch [0099]/[0303]: acc-top1=66.093750 acc-top5=85.187500 Batch [0149]/[0303]: acc-top1=66.656250 acc-top5=85.489583 Batch [0199]/[0303]: acc-top1=66.218750 acc-top5=85.515625 Batch [0249]/[0303]: acc-top1=65.900000 acc-top5=85.337500 Batch [0299]/[0303]: acc-top1=65.760417 acc-top5=85.385417 [Epoch 067] training: accuracy=77.989943 loss=0.879047 [Epoch 067] speed: 34 samples/sec time cost: 7373.903295 [Epoch 067] validation: acc-top1=65.774546 acc-top5=85.385726 loss=1.620240 Epoch[068] Batch [0049]/[3760] Speed: 25.393474 samples/sec accuracy=78.468750 loss=0.856957 lr=0.001000 Epoch[068] Batch [0099]/[3760] Speed: 35.310499 samples/sec accuracy=78.140625 loss=0.868865 lr=0.001000 Epoch[068] Batch [0149]/[3760] Speed: 35.456188 samples/sec accuracy=78.552083 loss=0.855611 lr=0.001000 Epoch[068] Batch [0199]/[3760] Speed: 35.323749 samples/sec accuracy=78.515625 loss=0.861414 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acc-top5=85.483705 loss=1.604769 Epoch[069] Batch [0049]/[3759] Speed: 25.170079 samples/sec accuracy=78.093750 loss=0.848289 lr=0.001000 Epoch[069] Batch [0099]/[3759] Speed: 35.020197 samples/sec accuracy=78.375000 loss=0.847546 lr=0.001000 Epoch[069] Batch [0149]/[3759] Speed: 35.331867 samples/sec accuracy=78.312500 loss=0.852900 lr=0.001000 Epoch[069] Batch [0199]/[3759] Speed: 35.162719 samples/sec accuracy=78.492188 loss=0.852591 lr=0.001000 Epoch[069] Batch [0249]/[3759] Speed: 35.212995 samples/sec accuracy=78.493750 loss=0.848536 lr=0.001000 Epoch[069] Batch [0299]/[3759] Speed: 35.126637 samples/sec accuracy=78.682292 loss=0.844219 lr=0.001000 Epoch[069] Batch [0349]/[3759] Speed: 35.159626 samples/sec accuracy=78.571429 loss=0.849362 lr=0.001000 Epoch[069] Batch [0399]/[3759] Speed: 34.928866 samples/sec accuracy=78.511719 loss=0.850596 lr=0.001000 Epoch[069] Batch [0449]/[3759] Speed: 35.083143 samples/sec accuracy=78.385417 loss=0.853104 lr=0.001000 Epoch[069] Batch 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accuracy=78.370066 loss=0.860909 lr=0.001000 Epoch[069] Batch [1949]/[3759] Speed: 34.862911 samples/sec accuracy=78.375000 loss=0.860879 lr=0.001000 Epoch[069] Batch [1999]/[3759] Speed: 35.158936 samples/sec accuracy=78.357812 loss=0.861339 lr=0.001000 Epoch[069] Batch [2049]/[3759] Speed: 34.977759 samples/sec accuracy=78.356707 loss=0.861529 lr=0.001000 Epoch[069] Batch [2099]/[3759] Speed: 35.153305 samples/sec accuracy=78.368304 loss=0.861436 lr=0.001000 Epoch[069] Batch [2149]/[3759] Speed: 34.849368 samples/sec accuracy=78.379360 loss=0.860665 lr=0.001000 Epoch[069] Batch [2199]/[3759] Speed: 35.083244 samples/sec accuracy=78.357955 loss=0.860928 lr=0.001000 Epoch[069] Batch [2249]/[3759] Speed: 34.641636 samples/sec accuracy=78.354861 loss=0.861193 lr=0.001000 Epoch[069] Batch [2299]/[3759] Speed: 35.207542 samples/sec accuracy=78.354620 loss=0.861270 lr=0.001000 Epoch[069] Batch [2349]/[3759] Speed: 34.773197 samples/sec accuracy=78.379654 loss=0.860847 lr=0.001000 Epoch[069] 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accuracy=78.347588 loss=0.863737 lr=0.001000 Epoch[069] Batch [2899]/[3759] Speed: 34.858231 samples/sec accuracy=78.341595 loss=0.863952 lr=0.001000 Epoch[069] Batch [2949]/[3759] Speed: 35.139172 samples/sec accuracy=78.343750 loss=0.863762 lr=0.001000 Epoch[069] Batch [2999]/[3759] Speed: 34.702102 samples/sec accuracy=78.336458 loss=0.863878 lr=0.001000 Epoch[069] Batch [3049]/[3759] Speed: 35.346086 samples/sec accuracy=78.330430 loss=0.864374 lr=0.001000 Epoch[069] Batch [3099]/[3759] Speed: 34.942017 samples/sec accuracy=78.320060 loss=0.865248 lr=0.001000 Epoch[069] Batch [3149]/[3759] Speed: 35.220549 samples/sec accuracy=78.333333 loss=0.864468 lr=0.001000 Epoch[069] Batch [3199]/[3759] Speed: 34.842447 samples/sec accuracy=78.334961 loss=0.864923 lr=0.001000 Epoch[069] Batch [3249]/[3759] Speed: 35.122618 samples/sec accuracy=78.337019 loss=0.865078 lr=0.001000 Epoch[069] Batch [3299]/[3759] Speed: 34.870708 samples/sec accuracy=78.342803 loss=0.864653 lr=0.001000 Epoch[069] 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[0099]/[0303]: acc-top1=65.984375 acc-top5=85.578125 Batch [0149]/[0303]: acc-top1=66.541667 acc-top5=85.625000 Batch [0199]/[0303]: acc-top1=66.359375 acc-top5=85.812500 Batch [0249]/[0303]: acc-top1=66.068750 acc-top5=85.687500 Batch [0299]/[0303]: acc-top1=66.010417 acc-top5=85.729167 [Epoch 069] training: accuracy=78.361931 loss=0.864588 [Epoch 069] speed: 34 samples/sec time cost: 7342.662124 [Epoch 069] validation: acc-top1=66.011757 acc-top5=85.746700 loss=1.630860 Epoch[070] Batch [0049]/[3760] Speed: 25.093251 samples/sec accuracy=77.812500 loss=0.872394 lr=0.001000 Epoch[070] Batch [0099]/[3760] Speed: 35.306724 samples/sec accuracy=77.921875 loss=0.878946 lr=0.001000 Epoch[070] Batch [0149]/[3760] Speed: 35.381674 samples/sec accuracy=78.291667 loss=0.864102 lr=0.001000 Epoch[070] Batch [0199]/[3760] Speed: 35.126308 samples/sec accuracy=78.531250 loss=0.854114 lr=0.001000 Epoch[070] Batch [0249]/[3760] Speed: 35.139861 samples/sec accuracy=78.668750 loss=0.849088 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acc-top5=85.479167 Batch [0199]/[0303]: acc-top1=66.398438 acc-top5=85.445312 Batch [0249]/[0303]: acc-top1=66.050000 acc-top5=85.412500 Batch [0299]/[0303]: acc-top1=65.817708 acc-top5=85.458333 [Epoch 071] training: accuracy=78.618684 loss=0.854635 [Epoch 071] speed: 35 samples/sec time cost: 7320.232545 [Epoch 071] validation: acc-top1=65.795173 acc-top5=85.478548 loss=1.623234 Epoch[072] Batch [0049]/[3759] Speed: 25.012459 samples/sec accuracy=78.875000 loss=0.817477 lr=0.001000 Epoch[072] Batch [0099]/[3759] Speed: 35.140637 samples/sec accuracy=79.593750 loss=0.805580 lr=0.001000 Epoch[072] Batch [0149]/[3759] Speed: 35.334193 samples/sec accuracy=79.708333 loss=0.809849 lr=0.001000 Epoch[072] Batch [0199]/[3759] Speed: 35.096927 samples/sec accuracy=79.906250 loss=0.808459 lr=0.001000 Epoch[072] Batch [0249]/[3759] Speed: 35.237462 samples/sec accuracy=79.893750 loss=0.813195 lr=0.001000 Epoch[072] Batch [0299]/[3759] Speed: 34.968665 samples/sec accuracy=79.619792 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lr=0.001000 Epoch[073] Batch [3449]/[3760] Speed: 35.294661 samples/sec accuracy=78.894475 loss=0.839409 lr=0.001000 Epoch[073] Batch [3499]/[3760] Speed: 35.306221 samples/sec accuracy=78.899107 loss=0.839613 lr=0.001000 Epoch[073] Batch [3549]/[3760] Speed: 35.116679 samples/sec accuracy=78.897887 loss=0.839713 lr=0.001000 Epoch[073] Batch [3599]/[3760] Speed: 35.210241 samples/sec accuracy=78.898438 loss=0.840011 lr=0.001000 Epoch[073] Batch [3649]/[3760] Speed: 34.989297 samples/sec accuracy=78.894264 loss=0.839952 lr=0.001000 Epoch[073] Batch [3699]/[3760] Speed: 35.302825 samples/sec accuracy=78.889358 loss=0.840422 lr=0.001000 Epoch[073] Batch [3749]/[3760] Speed: 36.409230 samples/sec accuracy=78.882500 loss=0.840549 lr=0.001000 Batch [0049]/[0303]: acc-top1=67.312500 acc-top5=86.031250 Batch [0099]/[0303]: acc-top1=65.968750 acc-top5=85.421875 Batch [0149]/[0303]: acc-top1=66.177083 acc-top5=85.364583 Batch [0199]/[0303]: acc-top1=66.023438 acc-top5=85.437500 Batch [0249]/[0303]: acc-top1=65.768750 acc-top5=85.256250 Batch [0299]/[0303]: acc-top1=65.791667 acc-top5=85.328125 [Epoch 073] training: accuracy=78.875499 loss=0.840805 [Epoch 073] speed: 34 samples/sec time cost: 7344.002203 [Epoch 073] validation: acc-top1=65.774546 acc-top5=85.334158 loss=1.642150 Epoch[074] Batch [0049]/[3760] Speed: 25.442452 samples/sec accuracy=80.656250 loss=0.767675 lr=0.001000 Epoch[074] Batch [0099]/[3760] Speed: 35.412052 samples/sec accuracy=79.921875 loss=0.800657 lr=0.001000 Epoch[074] Batch [0149]/[3760] Speed: 35.543329 samples/sec accuracy=79.822917 loss=0.800121 lr=0.001000 Epoch[074] Batch [0199]/[3760] Speed: 35.274018 samples/sec accuracy=79.750000 loss=0.804643 lr=0.001000 Epoch[074] Batch [0249]/[3760] Speed: 35.391885 samples/sec accuracy=80.125000 loss=0.793209 lr=0.001000 Epoch[074] Batch [0299]/[3760] Speed: 35.261569 samples/sec accuracy=80.052083 loss=0.794986 lr=0.001000 Epoch[074] Batch [0349]/[3760] Speed: 35.339203 samples/sec 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accuracy=79.088889 loss=0.835373 lr=0.001000 Epoch[074] Batch [2299]/[3760] Speed: 35.105274 samples/sec accuracy=79.078125 loss=0.835584 lr=0.001000 Epoch[074] Batch [2349]/[3760] Speed: 35.373110 samples/sec accuracy=79.077128 loss=0.835705 lr=0.001000 Epoch[074] Batch [2399]/[3760] Speed: 35.094091 samples/sec accuracy=79.093750 loss=0.835570 lr=0.001000 Epoch[074] Batch [2449]/[3760] Speed: 35.219348 samples/sec accuracy=79.081633 loss=0.835771 lr=0.001000 Epoch[074] Batch [2499]/[3760] Speed: 35.280569 samples/sec accuracy=79.088750 loss=0.835725 lr=0.001000 Epoch[074] Batch [2549]/[3760] Speed: 35.328184 samples/sec accuracy=79.075368 loss=0.835592 lr=0.001000 Epoch[074] Batch [2599]/[3760] Speed: 35.234266 samples/sec accuracy=79.082933 loss=0.834830 lr=0.001000 Epoch[074] Batch [2649]/[3760] Speed: 35.165668 samples/sec accuracy=79.080778 loss=0.835315 lr=0.001000 Epoch[074] Batch [2699]/[3760] Speed: 35.244310 samples/sec accuracy=79.070602 loss=0.835795 lr=0.001000 Epoch[074] 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accuracy=79.066895 loss=0.836350 lr=0.001000 Epoch[074] Batch [3249]/[3760] Speed: 34.972700 samples/sec accuracy=79.081250 loss=0.835796 lr=0.001000 Epoch[074] Batch [3299]/[3760] Speed: 35.364571 samples/sec accuracy=79.079545 loss=0.835647 lr=0.001000 Epoch[074] Batch [3349]/[3760] Speed: 34.934556 samples/sec accuracy=79.082090 loss=0.835884 lr=0.001000 Epoch[074] Batch [3399]/[3760] Speed: 35.136418 samples/sec accuracy=79.093290 loss=0.835268 lr=0.001000 Epoch[074] Batch [3449]/[3760] Speed: 35.274264 samples/sec accuracy=79.111413 loss=0.834505 lr=0.001000 Epoch[074] Batch [3499]/[3760] Speed: 34.996818 samples/sec accuracy=79.111161 loss=0.834675 lr=0.001000 Epoch[074] Batch [3549]/[3760] Speed: 35.299257 samples/sec accuracy=79.103873 loss=0.834682 lr=0.001000 Epoch[074] Batch [3599]/[3760] Speed: 34.939168 samples/sec accuracy=79.092014 loss=0.834950 lr=0.001000 Epoch[074] Batch [3649]/[3760] Speed: 35.467160 samples/sec accuracy=79.096747 loss=0.834681 lr=0.001000 Epoch[074] Batch [3699]/[3760] Speed: 34.812792 samples/sec accuracy=79.096284 loss=0.834759 lr=0.001000 Epoch[074] Batch [3749]/[3760] Speed: 36.565662 samples/sec accuracy=79.080417 loss=0.835484 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.281250 acc-top5=85.937500 Batch [0099]/[0303]: acc-top1=66.046875 acc-top5=85.234375 Batch [0149]/[0303]: acc-top1=66.395833 acc-top5=85.541667 Batch [0199]/[0303]: acc-top1=66.023438 acc-top5=85.437500 Batch [0249]/[0303]: acc-top1=65.793750 acc-top5=85.318750 Batch [0299]/[0303]: acc-top1=65.630208 acc-top5=85.281250 [Epoch 074] training: accuracy=79.079953 loss=0.835413 [Epoch 074] speed: 35 samples/sec time cost: 7312.722118 [Epoch 074] validation: acc-top1=65.625000 acc-top5=85.282591 loss=1.640277 Epoch[075] Batch [0049]/[3759] Speed: 25.082980 samples/sec accuracy=79.843750 loss=0.816289 lr=0.001000 Epoch[075] Batch [0099]/[3759] Speed: 35.366520 samples/sec accuracy=80.203125 loss=0.783122 lr=0.001000 Epoch[075] Batch [0149]/[3759] Speed: 35.316030 samples/sec accuracy=80.052083 loss=0.789474 lr=0.001000 Epoch[075] Batch [0199]/[3759] Speed: 35.320188 samples/sec accuracy=79.656250 loss=0.807880 lr=0.001000 Epoch[075] Batch [0249]/[3759] Speed: 35.350349 samples/sec accuracy=79.581250 loss=0.809643 lr=0.001000 Epoch[075] Batch [0299]/[3759] Speed: 35.090687 samples/sec accuracy=79.588542 loss=0.807711 lr=0.001000 Epoch[075] Batch [0349]/[3759] Speed: 35.100642 samples/sec accuracy=79.464286 loss=0.810526 lr=0.001000 Epoch[075] Batch [0399]/[3759] Speed: 35.307493 samples/sec accuracy=79.535156 loss=0.812542 lr=0.001000 Epoch[075] Batch [0449]/[3759] Speed: 35.304978 samples/sec accuracy=79.541667 loss=0.813530 lr=0.001000 Epoch[075] Batch [0499]/[3759] Speed: 35.345968 samples/sec accuracy=79.553125 loss=0.811609 lr=0.001000 Epoch[075] Batch [0549]/[3759] Speed: 35.360529 samples/sec accuracy=79.551136 loss=0.812196 lr=0.001000 Epoch[075] Batch [0599]/[3759] Speed: 35.072388 samples/sec accuracy=79.546875 loss=0.812716 lr=0.001000 Epoch[075] Batch [0649]/[3759] Speed: 35.235049 samples/sec accuracy=79.514423 loss=0.813677 lr=0.001000 Epoch[075] Batch [0699]/[3759] Speed: 35.227239 samples/sec accuracy=79.506696 loss=0.813608 lr=0.001000 Epoch[075] Batch [0749]/[3759] Speed: 35.224905 samples/sec accuracy=79.535417 loss=0.812360 lr=0.001000 Epoch[075] Batch [0799]/[3759] Speed: 34.925340 samples/sec accuracy=79.527344 loss=0.812858 lr=0.001000 Epoch[075] Batch [0849]/[3759] Speed: 35.275381 samples/sec accuracy=79.577206 loss=0.812519 lr=0.001000 Epoch[075] Batch [0899]/[3759] Speed: 35.024090 samples/sec accuracy=79.593750 loss=0.813413 lr=0.001000 Epoch[075] Batch [0949]/[3759] Speed: 35.068874 samples/sec accuracy=79.597039 loss=0.813564 lr=0.001000 Epoch[075] Batch [0999]/[3759] Speed: 34.934195 samples/sec accuracy=79.585938 loss=0.814402 lr=0.001000 Epoch[075] Batch [1049]/[3759] Speed: 34.947742 samples/sec accuracy=79.555060 loss=0.815539 lr=0.001000 Epoch[075] Batch [1099]/[3759] Speed: 35.273903 samples/sec accuracy=79.509943 loss=0.816373 lr=0.001000 Epoch[075] Batch [1149]/[3759] Speed: 35.014371 samples/sec accuracy=79.517663 loss=0.817212 lr=0.001000 Epoch[075] Batch [1199]/[3759] Speed: 35.279263 samples/sec accuracy=79.497396 loss=0.817859 lr=0.001000 Epoch[075] Batch [1249]/[3759] Speed: 35.026374 samples/sec accuracy=79.465000 loss=0.819547 lr=0.001000 Epoch[075] Batch [1299]/[3759] Speed: 35.403441 samples/sec accuracy=79.472356 loss=0.819226 lr=0.001000 Epoch[075] Batch [1349]/[3759] Speed: 35.043256 samples/sec accuracy=79.457176 loss=0.819581 lr=0.001000 Epoch[075] Batch [1399]/[3759] Speed: 35.303507 samples/sec accuracy=79.386161 loss=0.821673 lr=0.001000 Epoch[075] Batch [1449]/[3759] Speed: 34.907890 samples/sec accuracy=79.431034 loss=0.821086 lr=0.001000 Epoch[075] Batch [1499]/[3759] Speed: 35.270542 samples/sec accuracy=79.396875 loss=0.822181 lr=0.001000 Epoch[075] Batch [1549]/[3759] Speed: 34.840839 samples/sec accuracy=79.388105 loss=0.822262 lr=0.001000 Epoch[075] Batch [1599]/[3759] Speed: 35.244900 samples/sec accuracy=79.357422 loss=0.822864 lr=0.001000 Epoch[075] Batch [1649]/[3759] Speed: 34.872060 samples/sec accuracy=79.349432 loss=0.822267 lr=0.001000 Epoch[075] Batch [1699]/[3759] Speed: 35.142949 samples/sec accuracy=79.331801 loss=0.822767 lr=0.001000 Epoch[075] Batch [1749]/[3759] Speed: 35.023928 samples/sec accuracy=79.338393 loss=0.822911 lr=0.001000 Epoch[075] Batch [1799]/[3759] Speed: 35.120053 samples/sec accuracy=79.358507 loss=0.821264 lr=0.001000 Epoch[075] Batch [1849]/[3759] Speed: 34.968587 samples/sec accuracy=79.374155 loss=0.820789 lr=0.001000 Epoch[075] Batch [1899]/[3759] Speed: 35.177855 samples/sec accuracy=79.375000 loss=0.821143 lr=0.001000 Epoch[075] Batch [1949]/[3759] Speed: 35.333946 samples/sec accuracy=79.367788 loss=0.821336 lr=0.001000 Epoch[075] Batch [1999]/[3759] Speed: 35.189710 samples/sec accuracy=79.378906 loss=0.821244 lr=0.001000 Epoch[075] Batch [2049]/[3759] Speed: 34.994409 samples/sec accuracy=79.386433 loss=0.820988 lr=0.001000 Epoch[075] Batch [2099]/[3759] Speed: 35.094848 samples/sec accuracy=79.380952 loss=0.821656 lr=0.001000 Epoch[075] Batch [2149]/[3759] Speed: 34.774331 samples/sec accuracy=79.382994 loss=0.822275 lr=0.001000 Epoch[075] Batch [2199]/[3759] Speed: 34.949825 samples/sec accuracy=79.351562 loss=0.823106 lr=0.001000 Epoch[075] Batch [2249]/[3759] Speed: 34.642285 samples/sec accuracy=79.350000 loss=0.822967 lr=0.001000 Epoch[075] Batch [2299]/[3759] Speed: 34.846521 samples/sec accuracy=79.360734 loss=0.822490 lr=0.001000 Epoch[075] Batch [2349]/[3759] Speed: 34.765454 samples/sec accuracy=79.365691 loss=0.822787 lr=0.001000 Epoch[075] Batch [2399]/[3759] Speed: 34.787684 samples/sec accuracy=79.350260 loss=0.823257 lr=0.001000 Epoch[075] Batch [2449]/[3759] Speed: 35.034682 samples/sec accuracy=79.357781 loss=0.823108 lr=0.001000 Epoch[075] Batch [2499]/[3759] Speed: 34.519138 samples/sec accuracy=79.346875 loss=0.823758 lr=0.001000 Epoch[075] Batch [2549]/[3759] Speed: 35.186603 samples/sec accuracy=79.365809 loss=0.823333 lr=0.001000 Epoch[075] Batch [2599]/[3759] Speed: 34.459980 samples/sec accuracy=79.356971 loss=0.823646 lr=0.001000 Epoch[075] Batch [2649]/[3759] Speed: 35.159018 samples/sec accuracy=79.377948 loss=0.823609 lr=0.001000 Epoch[075] Batch [2699]/[3759] Speed: 34.673305 samples/sec accuracy=79.377894 loss=0.824073 lr=0.001000 Epoch[075] Batch [2749]/[3759] Speed: 35.106304 samples/sec accuracy=79.385795 loss=0.823641 lr=0.001000 Epoch[075] Batch [2799]/[3759] Speed: 34.910485 samples/sec accuracy=79.376674 loss=0.823895 lr=0.001000 Epoch[075] Batch [2849]/[3759] Speed: 34.973940 samples/sec accuracy=79.374452 loss=0.823717 lr=0.001000 Epoch[075] Batch [2899]/[3759] Speed: 35.076870 samples/sec accuracy=79.384159 loss=0.823460 lr=0.001000 Epoch[075] Batch [2949]/[3759] Speed: 34.881046 samples/sec accuracy=79.389301 loss=0.823573 lr=0.001000 Epoch[075] Batch [2999]/[3759] Speed: 35.162220 samples/sec accuracy=79.386979 loss=0.823467 lr=0.001000 Epoch[075] Batch [3049]/[3759] Speed: 35.066257 samples/sec accuracy=79.388320 loss=0.823618 lr=0.001000 Epoch[075] Batch [3099]/[3759] Speed: 35.267181 samples/sec accuracy=79.377016 loss=0.823685 lr=0.001000 Epoch[075] Batch [3149]/[3759] Speed: 35.041414 samples/sec accuracy=79.370040 loss=0.823733 lr=0.001000 Epoch[075] Batch [3199]/[3759] Speed: 35.276019 samples/sec accuracy=79.394531 loss=0.822922 lr=0.001000 Epoch[075] Batch [3249]/[3759] Speed: 34.965174 samples/sec accuracy=79.373077 loss=0.823762 lr=0.001000 Epoch[075] Batch [3299]/[3759] Speed: 35.128124 samples/sec accuracy=79.365057 loss=0.824027 lr=0.001000 Epoch[075] Batch [3349]/[3759] Speed: 34.545041 samples/sec accuracy=79.364272 loss=0.824069 lr=0.001000 Epoch[075] Batch [3399]/[3759] Speed: 35.119059 samples/sec accuracy=79.368566 loss=0.823975 lr=0.001000 Epoch[075] Batch [3449]/[3759] Speed: 34.266764 samples/sec accuracy=79.350091 loss=0.824337 lr=0.001000 Epoch[075] Batch [3499]/[3759] Speed: 35.089475 samples/sec accuracy=79.334821 loss=0.824596 lr=0.001000 Epoch[075] Batch [3549]/[3759] Speed: 34.382209 samples/sec accuracy=79.347711 loss=0.823689 lr=0.001000 Epoch[075] Batch [3599]/[3759] Speed: 34.995626 samples/sec accuracy=79.327691 loss=0.824319 lr=0.001000 Epoch[075] Batch [3649]/[3759] Speed: 34.804482 samples/sec accuracy=79.327911 loss=0.824547 lr=0.001000 Epoch[075] Batch [3699]/[3759] Speed: 34.606998 samples/sec accuracy=79.339527 loss=0.824514 lr=0.001000 Epoch[075] Batch [3749]/[3759] Speed: 36.438754 samples/sec accuracy=79.325000 loss=0.824674 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.562500 acc-top5=85.187500 Batch [0099]/[0303]: acc-top1=65.906250 acc-top5=84.843750 Batch [0149]/[0303]: acc-top1=66.281250 acc-top5=85.239583 Batch [0199]/[0303]: acc-top1=65.914062 acc-top5=85.226562 Batch [0249]/[0303]: acc-top1=65.656250 acc-top5=85.137500 Batch [0299]/[0303]: acc-top1=65.630208 acc-top5=85.098958 [Epoch 075] training: accuracy=79.323790 loss=0.824720 [Epoch 075] speed: 34 samples/sec time cost: 7350.525818 [Epoch 075] validation: acc-top1=65.619843 acc-top5=85.107261 loss=1.660125 Epoch[076] Batch [0049]/[3760] Speed: 24.849027 samples/sec accuracy=80.125000 loss=0.821614 lr=0.001000 Epoch[076] Batch [0099]/[3760] Speed: 35.500456 samples/sec accuracy=80.156250 loss=0.804582 lr=0.001000 Epoch[076] Batch [0149]/[3760] Speed: 35.024588 samples/sec accuracy=80.520833 loss=0.794636 lr=0.001000 Epoch[076] Batch [0199]/[3760] Speed: 35.142059 samples/sec accuracy=80.414062 loss=0.798649 lr=0.001000 Epoch[076] Batch [0249]/[3760] Speed: 34.730582 samples/sec accuracy=80.100000 loss=0.806915 lr=0.001000 Epoch[076] Batch [0299]/[3760] Speed: 35.429102 samples/sec accuracy=79.739583 loss=0.814498 lr=0.001000 Epoch[076] Batch [0349]/[3760] Speed: 34.822429 samples/sec accuracy=79.656250 loss=0.815829 lr=0.001000 Epoch[076] Batch [0399]/[3760] Speed: 35.475604 samples/sec accuracy=79.648438 loss=0.814534 lr=0.001000 Epoch[076] Batch [0449]/[3760] Speed: 35.010939 samples/sec accuracy=79.541667 loss=0.817034 lr=0.001000 Epoch[076] Batch [0499]/[3760] Speed: 35.355129 samples/sec accuracy=79.559375 loss=0.815710 lr=0.001000 Epoch[076] Batch [0549]/[3760] Speed: 34.924870 samples/sec accuracy=79.650568 loss=0.813328 lr=0.001000 Epoch[076] Batch [0599]/[3760] Speed: 35.438734 samples/sec accuracy=79.638021 loss=0.812764 lr=0.001000 Epoch[076] Batch [0649]/[3760] Speed: 35.196685 samples/sec accuracy=79.680288 loss=0.810608 lr=0.001000 Epoch[076] Batch [0699]/[3760] Speed: 35.153848 samples/sec accuracy=79.698661 loss=0.809576 lr=0.001000 Epoch[076] Batch [0749]/[3760] Speed: 35.002509 samples/sec accuracy=79.754167 loss=0.809491 lr=0.001000 Epoch[076] Batch [0799]/[3760] Speed: 35.044320 samples/sec accuracy=79.753906 loss=0.809979 lr=0.001000 Epoch[076] Batch [0849]/[3760] Speed: 35.062349 samples/sec accuracy=79.768382 loss=0.808378 lr=0.001000 Epoch[076] 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accuracy=79.662037 loss=0.810906 lr=0.001000 Epoch[076] Batch [1399]/[3760] Speed: 35.273691 samples/sec accuracy=79.672991 loss=0.811452 lr=0.001000 Epoch[076] Batch [1449]/[3760] Speed: 35.169583 samples/sec accuracy=79.682112 loss=0.811380 lr=0.001000 Epoch[076] Batch [1499]/[3760] Speed: 35.224682 samples/sec accuracy=79.700000 loss=0.810830 lr=0.001000 Epoch[076] Batch [1549]/[3760] Speed: 35.386029 samples/sec accuracy=79.669355 loss=0.812333 lr=0.001000 Epoch[076] Batch [1599]/[3760] Speed: 35.177094 samples/sec accuracy=79.663086 loss=0.811944 lr=0.001000 Epoch[076] Batch [1649]/[3760] Speed: 35.186848 samples/sec accuracy=79.691288 loss=0.810323 lr=0.001000 Epoch[076] Batch [1699]/[3760] Speed: 35.337713 samples/sec accuracy=79.669118 loss=0.811141 lr=0.001000 Epoch[076] Batch [1749]/[3760] Speed: 35.240165 samples/sec accuracy=79.647321 loss=0.812863 lr=0.001000 Epoch[076] Batch [1799]/[3760] Speed: 35.127893 samples/sec accuracy=79.610243 loss=0.813778 lr=0.001000 Epoch[076] 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accuracy=79.427310 loss=0.820361 lr=0.001000 Epoch[076] Batch [2349]/[3760] Speed: 35.259863 samples/sec accuracy=79.416223 loss=0.820975 lr=0.001000 Epoch[076] Batch [2399]/[3760] Speed: 35.384040 samples/sec accuracy=79.405599 loss=0.820810 lr=0.001000 Epoch[076] Batch [2449]/[3760] Speed: 35.206633 samples/sec accuracy=79.400510 loss=0.821002 lr=0.001000 Epoch[076] Batch [2499]/[3760] Speed: 35.391938 samples/sec accuracy=79.416250 loss=0.820723 lr=0.001000 Epoch[076] Batch [2549]/[3760] Speed: 35.102874 samples/sec accuracy=79.415441 loss=0.821358 lr=0.001000 Epoch[076] Batch [2599]/[3760] Speed: 35.375593 samples/sec accuracy=79.411659 loss=0.821476 lr=0.001000 Epoch[076] Batch [2649]/[3760] Speed: 35.037025 samples/sec accuracy=79.412736 loss=0.820843 lr=0.001000 Epoch[076] Batch [2699]/[3760] Speed: 35.328042 samples/sec accuracy=79.415509 loss=0.821003 lr=0.001000 Epoch[076] Batch [2749]/[3760] Speed: 34.980411 samples/sec accuracy=79.438068 loss=0.820756 lr=0.001000 Epoch[076] 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accuracy=79.410096 loss=0.821455 lr=0.001000 Epoch[076] Batch [3299]/[3760] Speed: 35.234206 samples/sec accuracy=79.407670 loss=0.821683 lr=0.001000 Epoch[076] Batch [3349]/[3760] Speed: 35.193593 samples/sec accuracy=79.389925 loss=0.822143 lr=0.001000 Epoch[076] Batch [3399]/[3760] Speed: 35.173689 samples/sec accuracy=79.396599 loss=0.822392 lr=0.001000 Epoch[076] Batch [3449]/[3760] Speed: 35.481794 samples/sec accuracy=79.384964 loss=0.822818 lr=0.001000 Epoch[076] Batch [3499]/[3760] Speed: 35.228272 samples/sec accuracy=79.375446 loss=0.823395 lr=0.001000 Epoch[076] Batch [3549]/[3760] Speed: 35.470708 samples/sec accuracy=79.377201 loss=0.822949 lr=0.001000 Epoch[076] Batch [3599]/[3760] Speed: 35.404620 samples/sec accuracy=79.384549 loss=0.822489 lr=0.001000 Epoch[076] Batch [3649]/[3760] Speed: 35.294050 samples/sec accuracy=79.387414 loss=0.822327 lr=0.001000 Epoch[076] Batch [3699]/[3760] Speed: 35.322397 samples/sec accuracy=79.389780 loss=0.822477 lr=0.001000 Epoch[076] Batch [3749]/[3760] Speed: 36.426533 samples/sec accuracy=79.374583 loss=0.823143 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.000000 acc-top5=85.593750 Batch [0099]/[0303]: acc-top1=65.609375 acc-top5=85.109375 Batch [0149]/[0303]: acc-top1=66.062500 acc-top5=85.343750 Batch [0199]/[0303]: acc-top1=65.703125 acc-top5=85.257812 Batch [0249]/[0303]: acc-top1=65.550000 acc-top5=85.218750 Batch [0299]/[0303]: acc-top1=65.442708 acc-top5=85.208333 [Epoch 076] training: accuracy=79.371676 loss=0.823395 [Epoch 076] speed: 34 samples/sec time cost: 7328.937367 [Epoch 076] validation: acc-top1=65.429043 acc-top5=85.225866 loss=1.661502 Epoch[077] Batch [0049]/[3760] Speed: 25.361389 samples/sec accuracy=80.968750 loss=0.767165 lr=0.001000 Epoch[077] Batch [0099]/[3760] Speed: 35.236507 samples/sec accuracy=80.593750 loss=0.783183 lr=0.001000 Epoch[077] Batch [0149]/[3760] Speed: 35.414200 samples/sec accuracy=80.062500 loss=0.796557 lr=0.001000 Epoch[077] Batch [0199]/[3760] Speed: 35.324915 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lr=0.001000 Epoch[077] Batch [0699]/[3760] Speed: 35.197241 samples/sec accuracy=79.883929 loss=0.804281 lr=0.001000 Epoch[077] Batch [0749]/[3760] Speed: 35.325227 samples/sec accuracy=79.870833 loss=0.803998 lr=0.001000 Epoch[077] Batch [0799]/[3760] Speed: 35.435140 samples/sec accuracy=79.832031 loss=0.806374 lr=0.001000 Epoch[077] Batch [0849]/[3760] Speed: 35.443499 samples/sec accuracy=79.847426 loss=0.804602 lr=0.001000 Epoch[077] Batch [0899]/[3760] Speed: 35.297197 samples/sec accuracy=79.848958 loss=0.804327 lr=0.001000 Epoch[077] Batch [0949]/[3760] Speed: 35.432560 samples/sec accuracy=79.794408 loss=0.808225 lr=0.001000 Epoch[077] Batch [0999]/[3760] Speed: 35.342753 samples/sec accuracy=79.721875 loss=0.811077 lr=0.001000 Epoch[077] Batch [1049]/[3760] Speed: 35.057359 samples/sec accuracy=79.669643 loss=0.813238 lr=0.001000 Epoch[077] Batch [1099]/[3760] Speed: 35.349687 samples/sec accuracy=79.714489 loss=0.810532 lr=0.001000 Epoch[077] Batch [1149]/[3760] Speed: 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lr=0.001000 Epoch[077] Batch [1649]/[3760] Speed: 35.251315 samples/sec accuracy=79.765152 loss=0.805601 lr=0.001000 Epoch[077] Batch [1699]/[3760] Speed: 35.099831 samples/sec accuracy=79.746324 loss=0.806944 lr=0.001000 Epoch[077] Batch [1749]/[3760] Speed: 35.566095 samples/sec accuracy=79.733036 loss=0.807411 lr=0.001000 Epoch[077] Batch [1799]/[3760] Speed: 34.996230 samples/sec accuracy=79.706597 loss=0.808752 lr=0.001000 Epoch[077] Batch [1849]/[3760] Speed: 35.300688 samples/sec accuracy=79.731419 loss=0.807319 lr=0.001000 Epoch[077] Batch [1899]/[3760] Speed: 35.278422 samples/sec accuracy=79.691612 loss=0.808779 lr=0.001000 Epoch[077] Batch [1949]/[3760] Speed: 35.290237 samples/sec accuracy=79.684295 loss=0.809212 lr=0.001000 Epoch[077] Batch [1999]/[3760] Speed: 35.187452 samples/sec accuracy=79.664062 loss=0.809612 lr=0.001000 Epoch[077] Batch [2049]/[3760] Speed: 35.227400 samples/sec accuracy=79.631860 loss=0.810301 lr=0.001000 Epoch[077] Batch [2099]/[3760] Speed: 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lr=0.001000 Epoch[077] Batch [2599]/[3760] Speed: 35.224201 samples/sec accuracy=79.665264 loss=0.810174 lr=0.001000 Epoch[077] Batch [2649]/[3760] Speed: 35.390509 samples/sec accuracy=79.647406 loss=0.810883 lr=0.001000 Epoch[077] Batch [2699]/[3760] Speed: 35.258004 samples/sec accuracy=79.637731 loss=0.811146 lr=0.001000 Epoch[077] Batch [2749]/[3760] Speed: 35.004504 samples/sec accuracy=79.640341 loss=0.811427 lr=0.001000 Epoch[077] Batch [2799]/[3760] Speed: 35.376725 samples/sec accuracy=79.642299 loss=0.811808 lr=0.001000 Epoch[077] Batch [2849]/[3760] Speed: 34.981826 samples/sec accuracy=79.640351 loss=0.811904 lr=0.001000 Epoch[077] Batch [2899]/[3760] Speed: 35.266723 samples/sec accuracy=79.609914 loss=0.812955 lr=0.001000 Epoch[077] Batch [2949]/[3760] Speed: 35.015276 samples/sec accuracy=79.587924 loss=0.813789 lr=0.001000 Epoch[077] Batch [2999]/[3760] Speed: 35.173972 samples/sec accuracy=79.565104 loss=0.814369 lr=0.001000 Epoch[077] Batch [3049]/[3760] Speed: 35.386519 samples/sec accuracy=79.572746 loss=0.814011 lr=0.001000 Epoch[077] Batch [3099]/[3760] Speed: 35.362127 samples/sec accuracy=79.580645 loss=0.813669 lr=0.001000 Epoch[077] Batch [3149]/[3760] Speed: 35.363846 samples/sec accuracy=79.588294 loss=0.813957 lr=0.001000 Epoch[077] Batch [3199]/[3760] Speed: 35.108828 samples/sec accuracy=79.593750 loss=0.813521 lr=0.001000 Epoch[077] Batch [3249]/[3760] Speed: 35.097608 samples/sec accuracy=79.576442 loss=0.813690 lr=0.001000 Epoch[077] Batch [3299]/[3760] Speed: 35.212888 samples/sec accuracy=79.565814 loss=0.814136 lr=0.001000 Epoch[077] Batch [3349]/[3760] Speed: 35.486209 samples/sec accuracy=79.561101 loss=0.814207 lr=0.001000 Epoch[077] Batch [3399]/[3760] Speed: 35.320292 samples/sec accuracy=79.559283 loss=0.814103 lr=0.001000 Epoch[077] Batch [3449]/[3760] Speed: 35.291050 samples/sec accuracy=79.552536 loss=0.814437 lr=0.001000 Epoch[077] Batch [3499]/[3760] Speed: 35.102316 samples/sec accuracy=79.533482 loss=0.815348 lr=0.001000 Epoch[077] Batch [3549]/[3760] Speed: 35.392059 samples/sec accuracy=79.524208 loss=0.815711 lr=0.001000 Epoch[077] Batch [3599]/[3760] Speed: 35.083344 samples/sec accuracy=79.521267 loss=0.815446 lr=0.001000 Epoch[077] Batch [3649]/[3760] Speed: 35.409173 samples/sec accuracy=79.515839 loss=0.815807 lr=0.001000 Epoch[077] Batch [3699]/[3760] Speed: 35.125087 samples/sec accuracy=79.518159 loss=0.815447 lr=0.001000 Epoch[077] Batch [3749]/[3760] Speed: 36.415674 samples/sec accuracy=79.505833 loss=0.816331 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.406250 acc-top5=85.562500 Batch [0099]/[0303]: acc-top1=66.406250 acc-top5=85.078125 Batch [0149]/[0303]: acc-top1=66.614583 acc-top5=85.145833 Batch [0199]/[0303]: acc-top1=66.132812 acc-top5=85.320312 Batch [0249]/[0303]: acc-top1=65.731250 acc-top5=85.200000 Batch [0299]/[0303]: acc-top1=65.505208 acc-top5=85.182292 [Epoch 077] training: accuracy=79.504654 loss=0.816373 [Epoch 077] speed: 35 samples/sec time cost: 7306.152020 [Epoch 077] validation: acc-top1=65.496081 acc-top5=85.205239 loss=1.650438 Epoch[078] Batch [0049]/[3759] Speed: 25.172049 samples/sec accuracy=80.312500 loss=0.806261 lr=0.001000 Epoch[078] Batch [0099]/[3759] Speed: 35.263794 samples/sec accuracy=80.000000 loss=0.807597 lr=0.001000 Epoch[078] Batch [0149]/[3759] Speed: 35.467122 samples/sec accuracy=79.468750 loss=0.815354 lr=0.001000 Epoch[078] Batch [0199]/[3759] Speed: 35.304210 samples/sec accuracy=79.804688 loss=0.806914 lr=0.001000 Epoch[078] Batch [0249]/[3759] Speed: 35.309595 samples/sec accuracy=79.943750 loss=0.801344 lr=0.001000 Epoch[078] Batch [0299]/[3759] Speed: 35.439888 samples/sec accuracy=80.072917 loss=0.792780 lr=0.001000 Epoch[078] Batch [0349]/[3759] Speed: 35.182821 samples/sec accuracy=80.129464 loss=0.790646 lr=0.001000 Epoch[078] Batch [0399]/[3759] Speed: 35.199566 samples/sec accuracy=80.109375 loss=0.794032 lr=0.001000 Epoch[078] Batch [0449]/[3759] Speed: 35.339522 samples/sec accuracy=80.118056 loss=0.791544 lr=0.001000 Epoch[078] Batch [0499]/[3759] Speed: 35.269727 samples/sec accuracy=80.021875 loss=0.797237 lr=0.001000 Epoch[078] Batch [0549]/[3759] Speed: 35.280514 samples/sec accuracy=80.000000 loss=0.798404 lr=0.001000 Epoch[078] Batch [0599]/[3759] Speed: 35.317654 samples/sec accuracy=79.958333 loss=0.798530 lr=0.001000 Epoch[078] Batch [0649]/[3759] Speed: 35.417649 samples/sec accuracy=79.951923 loss=0.797672 lr=0.001000 Epoch[078] Batch [0699]/[3759] Speed: 35.174964 samples/sec accuracy=79.917411 loss=0.798708 lr=0.001000 Epoch[078] Batch [0749]/[3759] Speed: 35.445137 samples/sec accuracy=79.943750 loss=0.796518 lr=0.001000 Epoch[078] Batch [0799]/[3759] Speed: 35.094602 samples/sec accuracy=79.955078 loss=0.795138 lr=0.001000 Epoch[078] Batch [0849]/[3759] Speed: 35.302477 samples/sec accuracy=79.893382 loss=0.795531 lr=0.001000 Epoch[078] Batch [0899]/[3759] Speed: 35.219568 samples/sec accuracy=79.916667 loss=0.796214 lr=0.001000 Epoch[078] 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accuracy=79.786830 loss=0.801888 lr=0.001000 Epoch[078] Batch [1449]/[3759] Speed: 35.026751 samples/sec accuracy=79.765086 loss=0.801682 lr=0.001000 Epoch[078] Batch [1499]/[3759] Speed: 35.149308 samples/sec accuracy=79.805208 loss=0.801837 lr=0.001000 Epoch[078] Batch [1549]/[3759] Speed: 34.832482 samples/sec accuracy=79.795363 loss=0.801551 lr=0.001000 Epoch[078] Batch [1599]/[3759] Speed: 35.303424 samples/sec accuracy=79.814453 loss=0.800942 lr=0.001000 Epoch[078] Batch [1649]/[3759] Speed: 34.871984 samples/sec accuracy=79.827652 loss=0.800230 lr=0.001000 Epoch[078] Batch [1699]/[3759] Speed: 35.180285 samples/sec accuracy=79.847426 loss=0.799466 lr=0.001000 Epoch[078] Batch [1749]/[3759] Speed: 34.859204 samples/sec accuracy=79.813393 loss=0.801162 lr=0.001000 Epoch[078] Batch [1799]/[3759] Speed: 35.188217 samples/sec accuracy=79.799479 loss=0.801975 lr=0.001000 Epoch[078] Batch [1849]/[3759] Speed: 34.867993 samples/sec accuracy=79.821791 loss=0.800542 lr=0.001000 Epoch[078] 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accuracy=79.818484 loss=0.800540 lr=0.001000 Epoch[078] Batch [2399]/[3759] Speed: 34.654606 samples/sec accuracy=79.800130 loss=0.800679 lr=0.001000 Epoch[078] Batch [2449]/[3759] Speed: 35.402170 samples/sec accuracy=79.815051 loss=0.799826 lr=0.001000 Epoch[078] Batch [2499]/[3759] Speed: 34.649409 samples/sec accuracy=79.795000 loss=0.800693 lr=0.001000 Epoch[078] Batch [2549]/[3759] Speed: 35.134424 samples/sec accuracy=79.775735 loss=0.801379 lr=0.001000 Epoch[078] Batch [2599]/[3759] Speed: 34.460786 samples/sec accuracy=79.759014 loss=0.802066 lr=0.001000 Epoch[078] Batch [2649]/[3759] Speed: 34.919937 samples/sec accuracy=79.762382 loss=0.802166 lr=0.001000 Epoch[078] Batch [2699]/[3759] Speed: 34.733115 samples/sec accuracy=79.756944 loss=0.802767 lr=0.001000 Epoch[078] Batch [2749]/[3759] Speed: 34.619025 samples/sec accuracy=79.750568 loss=0.803320 lr=0.001000 Epoch[078] Batch [2799]/[3759] Speed: 34.862409 samples/sec accuracy=79.773996 loss=0.802581 lr=0.001000 Epoch[078] 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accuracy=79.686553 loss=0.805433 lr=0.001000 Epoch[078] Batch [3349]/[3759] Speed: 35.103151 samples/sec accuracy=79.687966 loss=0.805217 lr=0.001000 Epoch[078] Batch [3399]/[3759] Speed: 34.465828 samples/sec accuracy=79.689338 loss=0.805454 lr=0.001000 Epoch[078] Batch [3449]/[3759] Speed: 35.015777 samples/sec accuracy=79.681159 loss=0.806089 lr=0.001000 Epoch[078] Batch [3499]/[3759] Speed: 34.505220 samples/sec accuracy=79.670089 loss=0.806728 lr=0.001000 Epoch[078] Batch [3549]/[3759] Speed: 34.968860 samples/sec accuracy=79.657570 loss=0.807084 lr=0.001000 Epoch[078] Batch [3599]/[3759] Speed: 34.839116 samples/sec accuracy=79.651910 loss=0.807499 lr=0.001000 Epoch[078] Batch [3649]/[3759] Speed: 34.529720 samples/sec accuracy=79.656250 loss=0.807130 lr=0.001000 Epoch[078] Batch [3699]/[3759] Speed: 34.931691 samples/sec accuracy=79.660895 loss=0.807010 lr=0.001000 Epoch[078] Batch [3749]/[3759] Speed: 35.996742 samples/sec accuracy=79.665000 loss=0.807079 lr=0.001000 Batch [0049]/[0303]: acc-top1=66.562500 acc-top5=85.718750 Batch [0099]/[0303]: acc-top1=66.437500 acc-top5=85.093750 Batch [0149]/[0303]: acc-top1=66.781250 acc-top5=85.364583 Batch [0199]/[0303]: acc-top1=66.375000 acc-top5=85.398438 Batch [0249]/[0303]: acc-top1=66.118750 acc-top5=85.200000 Batch [0299]/[0303]: acc-top1=65.968750 acc-top5=85.166667 [Epoch 078] training: accuracy=79.665885 loss=0.806965 [Epoch 078] speed: 34 samples/sec time cost: 7365.474059 [Epoch 078] validation: acc-top1=65.960190 acc-top5=85.169142 loss=1.648161 Epoch[079] Batch [0049]/[3760] Speed: 25.008644 samples/sec accuracy=79.593750 loss=0.793599 lr=0.001000 Epoch[079] Batch [0099]/[3760] Speed: 34.989347 samples/sec accuracy=80.015625 loss=0.793314 lr=0.001000 Epoch[079] Batch [0149]/[3760] Speed: 35.426076 samples/sec accuracy=80.145833 loss=0.791441 lr=0.001000 Epoch[079] Batch [0199]/[3760] Speed: 35.075541 samples/sec accuracy=80.171875 loss=0.794800 lr=0.001000 Epoch[079] Batch [0249]/[3760] Speed: 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lr=0.001000 Epoch[079] Batch [1699]/[3760] Speed: 35.105286 samples/sec accuracy=79.987132 loss=0.792848 lr=0.001000 Epoch[079] Batch [1749]/[3760] Speed: 35.222627 samples/sec accuracy=79.985714 loss=0.792990 lr=0.001000 Epoch[079] Batch [1799]/[3760] Speed: 35.134630 samples/sec accuracy=79.993924 loss=0.792268 lr=0.001000 Epoch[079] Batch [1849]/[3760] Speed: 35.180022 samples/sec accuracy=79.985642 loss=0.792796 lr=0.001000 Epoch[079] Batch [1899]/[3760] Speed: 35.204980 samples/sec accuracy=79.958059 loss=0.794392 lr=0.001000 Epoch[079] Batch [1949]/[3760] Speed: 35.445111 samples/sec accuracy=79.938301 loss=0.795291 lr=0.001000 Epoch[079] Batch [1999]/[3760] Speed: 35.279034 samples/sec accuracy=79.918750 loss=0.795978 lr=0.001000 Epoch[079] Batch [2049]/[3760] Speed: 35.355358 samples/sec accuracy=79.900915 loss=0.796774 lr=0.001000 Epoch[079] Batch [2099]/[3760] Speed: 35.322247 samples/sec accuracy=79.864583 loss=0.797439 lr=0.001000 Epoch[079] Batch [2149]/[3760] Speed: 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lr=0.001000 Epoch[079] Batch [2649]/[3760] Speed: 35.286296 samples/sec accuracy=79.834906 loss=0.800156 lr=0.001000 Epoch[079] Batch [2699]/[3760] Speed: 35.243496 samples/sec accuracy=79.832755 loss=0.799592 lr=0.001000 Epoch[079] Batch [2749]/[3760] Speed: 35.240592 samples/sec accuracy=79.815909 loss=0.800664 lr=0.001000 Epoch[079] Batch [2799]/[3760] Speed: 35.220810 samples/sec accuracy=79.814174 loss=0.800595 lr=0.001000 Epoch[079] Batch [2849]/[3760] Speed: 34.966650 samples/sec accuracy=79.803728 loss=0.801013 lr=0.001000 Epoch[079] Batch [2899]/[3760] Speed: 35.409212 samples/sec accuracy=79.799569 loss=0.800944 lr=0.001000 Epoch[079] Batch [2949]/[3760] Speed: 35.109702 samples/sec accuracy=79.785487 loss=0.801124 lr=0.001000 Epoch[079] Batch [2999]/[3760] Speed: 35.324411 samples/sec accuracy=79.779167 loss=0.801673 lr=0.001000 Epoch[079] Batch [3049]/[3760] Speed: 35.298229 samples/sec accuracy=79.788422 loss=0.801662 lr=0.001000 Epoch[079] Batch [3099]/[3760] Speed: 35.282161 samples/sec accuracy=79.827117 loss=0.800050 lr=0.001000 Epoch[079] Batch [3149]/[3760] Speed: 35.218421 samples/sec accuracy=79.823909 loss=0.800097 lr=0.001000 Epoch[079] Batch [3199]/[3760] Speed: 35.470413 samples/sec accuracy=79.826172 loss=0.799301 lr=0.001000 Epoch[079] Batch [3249]/[3760] Speed: 35.046575 samples/sec accuracy=79.813942 loss=0.799607 lr=0.001000 Epoch[079] Batch [3299]/[3760] Speed: 35.159687 samples/sec accuracy=79.819129 loss=0.799347 lr=0.001000 Epoch[079] Batch [3349]/[3760] Speed: 35.316156 samples/sec accuracy=79.808769 loss=0.799758 lr=0.001000 Epoch[079] Batch [3399]/[3760] Speed: 35.118011 samples/sec accuracy=79.806985 loss=0.799668 lr=0.001000 Epoch[079] Batch [3449]/[3760] Speed: 35.173966 samples/sec accuracy=79.800725 loss=0.800146 lr=0.001000 Epoch[079] Batch [3499]/[3760] Speed: 34.978819 samples/sec accuracy=79.804911 loss=0.800410 lr=0.001000 Epoch[079] Batch [3549]/[3760] Speed: 35.558968 samples/sec accuracy=79.812500 loss=0.800161 lr=0.001000 Epoch[079] Batch [3599]/[3760] Speed: 35.099717 samples/sec accuracy=79.802083 loss=0.800355 lr=0.001000 Epoch[079] Batch [3649]/[3760] Speed: 35.235728 samples/sec accuracy=79.815068 loss=0.800371 lr=0.001000 Epoch[079] Batch [3699]/[3760] Speed: 35.126321 samples/sec accuracy=79.794764 loss=0.801591 lr=0.001000 Epoch[079] Batch [3749]/[3760] Speed: 36.585559 samples/sec accuracy=79.787917 loss=0.801770 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.000000 acc-top5=86.218750 Batch [0099]/[0303]: acc-top1=65.703125 acc-top5=85.343750 Batch [0149]/[0303]: acc-top1=66.020833 acc-top5=85.489583 Batch [0199]/[0303]: acc-top1=65.804688 acc-top5=85.421875 Batch [0249]/[0303]: acc-top1=65.731250 acc-top5=85.306250 Batch [0299]/[0303]: acc-top1=65.588542 acc-top5=85.244792 [Epoch 079] training: accuracy=79.783078 loss=0.802040 [Epoch 079] speed: 35 samples/sec time cost: 7314.532427 [Epoch 079] validation: acc-top1=65.583746 acc-top5=85.267120 loss=1.656846 Epoch[080] Batch 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accuracy=80.834375 loss=0.760388 lr=0.000100 Epoch[080] Batch [0549]/[3760] Speed: 35.513432 samples/sec accuracy=80.855114 loss=0.758510 lr=0.000100 Epoch[080] Batch [0599]/[3760] Speed: 35.349783 samples/sec accuracy=80.908854 loss=0.755378 lr=0.000100 Epoch[080] Batch [0649]/[3760] Speed: 35.350312 samples/sec accuracy=80.848558 loss=0.757506 lr=0.000100 Epoch[080] Batch [0699]/[3760] Speed: 35.230984 samples/sec accuracy=80.899554 loss=0.755707 lr=0.000100 Epoch[080] Batch [0749]/[3760] Speed: 35.427141 samples/sec accuracy=80.970833 loss=0.754334 lr=0.000100 Epoch[080] Batch [0799]/[3760] Speed: 35.069612 samples/sec accuracy=80.947266 loss=0.755678 lr=0.000100 Epoch[080] Batch [0849]/[3760] Speed: 35.380553 samples/sec accuracy=80.983456 loss=0.754325 lr=0.000100 Epoch[080] Batch [0899]/[3760] Speed: 35.217160 samples/sec accuracy=81.001736 loss=0.753675 lr=0.000100 Epoch[080] Batch [0949]/[3760] Speed: 35.134136 samples/sec accuracy=80.945724 loss=0.756669 lr=0.000100 Epoch[080] 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accuracy=80.976293 loss=0.758184 lr=0.000100 Epoch[080] Batch [1499]/[3760] Speed: 35.466598 samples/sec accuracy=80.933333 loss=0.759551 lr=0.000100 Epoch[080] Batch [1549]/[3760] Speed: 35.206861 samples/sec accuracy=80.959677 loss=0.758146 lr=0.000100 Epoch[080] Batch [1599]/[3760] Speed: 35.395352 samples/sec accuracy=80.963867 loss=0.757328 lr=0.000100 Epoch[080] Batch [1649]/[3760] Speed: 35.117838 samples/sec accuracy=80.957386 loss=0.757631 lr=0.000100 Epoch[080] Batch [1699]/[3760] Speed: 35.278423 samples/sec accuracy=80.971507 loss=0.757344 lr=0.000100 Epoch[080] Batch [1749]/[3760] Speed: 35.297215 samples/sec accuracy=80.963393 loss=0.757245 lr=0.000100 Epoch[080] Batch [1799]/[3760] Speed: 35.403154 samples/sec accuracy=80.992188 loss=0.756845 lr=0.000100 Epoch[080] Batch [1849]/[3760] Speed: 35.448429 samples/sec accuracy=80.984797 loss=0.756926 lr=0.000100 Epoch[080] Batch [1899]/[3760] Speed: 35.307195 samples/sec accuracy=80.986842 loss=0.756420 lr=0.000100 Epoch[080] 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accuracy=81.079427 loss=0.754111 lr=0.000100 Epoch[080] Batch [2449]/[3760] Speed: 35.033127 samples/sec accuracy=81.088648 loss=0.753874 lr=0.000100 Epoch[080] Batch [2499]/[3760] Speed: 34.673379 samples/sec accuracy=81.093125 loss=0.753359 lr=0.000100 Epoch[080] Batch [2549]/[3760] Speed: 35.049157 samples/sec accuracy=81.082721 loss=0.753442 lr=0.000100 Epoch[080] Batch [2599]/[3760] Speed: 34.974368 samples/sec accuracy=81.094952 loss=0.753134 lr=0.000100 Epoch[080] Batch [2649]/[3760] Speed: 35.083836 samples/sec accuracy=81.113208 loss=0.752759 lr=0.000100 Epoch[080] Batch [2699]/[3760] Speed: 34.991885 samples/sec accuracy=81.126736 loss=0.752476 lr=0.000100 Epoch[080] Batch [2749]/[3760] Speed: 34.783065 samples/sec accuracy=81.127273 loss=0.752600 lr=0.000100 Epoch[080] Batch [2799]/[3760] Speed: 35.221651 samples/sec accuracy=81.108817 loss=0.753424 lr=0.000100 Epoch[080] Batch [2849]/[3760] Speed: 34.351494 samples/sec accuracy=81.106360 loss=0.753548 lr=0.000100 Epoch[080] 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accuracy=81.176772 loss=0.751940 lr=0.000100 Epoch[080] Batch [3399]/[3760] Speed: 34.567860 samples/sec accuracy=81.182904 loss=0.751537 lr=0.000100 Epoch[080] Batch [3449]/[3760] Speed: 35.203336 samples/sec accuracy=81.201087 loss=0.750719 lr=0.000100 Epoch[080] Batch [3499]/[3760] Speed: 34.991364 samples/sec accuracy=81.204018 loss=0.750517 lr=0.000100 Epoch[080] Batch [3549]/[3760] Speed: 35.077155 samples/sec accuracy=81.208627 loss=0.750104 lr=0.000100 Epoch[080] Batch [3599]/[3760] Speed: 35.129855 samples/sec accuracy=81.217014 loss=0.750015 lr=0.000100 Epoch[080] Batch [3649]/[3760] Speed: 35.304137 samples/sec accuracy=81.208476 loss=0.750015 lr=0.000100 Epoch[080] Batch [3699]/[3760] Speed: 35.095747 samples/sec accuracy=81.223395 loss=0.749895 lr=0.000100 Epoch[080] Batch [3749]/[3760] Speed: 36.282333 samples/sec accuracy=81.232500 loss=0.749538 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.781250 acc-top5=86.125000 Batch [0099]/[0303]: acc-top1=66.234375 acc-top5=85.453125 Batch [0149]/[0303]: acc-top1=66.541667 acc-top5=85.593750 Batch [0199]/[0303]: acc-top1=66.218750 acc-top5=85.531250 Batch [0249]/[0303]: acc-top1=66.143750 acc-top5=85.406250 Batch [0299]/[0303]: acc-top1=65.932292 acc-top5=85.432292 [Epoch 080] training: accuracy=81.242520 loss=0.749341 [Epoch 080] speed: 34 samples/sec time cost: 7331.492391 [Epoch 080] validation: acc-top1=65.939563 acc-top5=85.442450 loss=1.637850 Epoch[081] Batch [0049]/[3759] Speed: 24.979313 samples/sec accuracy=81.593750 loss=0.728370 lr=0.000100 Epoch[081] Batch [0099]/[3759] Speed: 35.259490 samples/sec accuracy=81.515625 loss=0.727507 lr=0.000100 Epoch[081] Batch [0149]/[3759] Speed: 35.297177 samples/sec accuracy=81.906250 loss=0.717738 lr=0.000100 Epoch[081] Batch [0199]/[3759] Speed: 35.115140 samples/sec accuracy=82.132812 loss=0.719124 lr=0.000100 Epoch[081] Batch [0249]/[3759] Speed: 35.354794 samples/sec accuracy=81.900000 loss=0.724356 lr=0.000100 Epoch[081] Batch [0299]/[3759] 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loss=0.733112 lr=0.000100 Epoch[081] Batch [0799]/[3759] Speed: 35.419502 samples/sec accuracy=81.503906 loss=0.733516 lr=0.000100 Epoch[081] Batch [0849]/[3759] Speed: 34.919870 samples/sec accuracy=81.492647 loss=0.735113 lr=0.000100 Epoch[081] Batch [0899]/[3759] Speed: 35.265186 samples/sec accuracy=81.484375 loss=0.734303 lr=0.000100 Epoch[081] Batch [0949]/[3759] Speed: 35.050436 samples/sec accuracy=81.506579 loss=0.734710 lr=0.000100 Epoch[081] Batch [0999]/[3759] Speed: 35.341945 samples/sec accuracy=81.489063 loss=0.735483 lr=0.000100 Epoch[081] Batch [1049]/[3759] Speed: 35.081743 samples/sec accuracy=81.543155 loss=0.734661 lr=0.000100 Epoch[081] Batch [1099]/[3759] Speed: 35.312081 samples/sec accuracy=81.535511 loss=0.735049 lr=0.000100 Epoch[081] Batch [1149]/[3759] Speed: 34.865231 samples/sec accuracy=81.528533 loss=0.736055 lr=0.000100 Epoch[081] Batch [1199]/[3759] Speed: 35.389418 samples/sec accuracy=81.493490 loss=0.737506 lr=0.000100 Epoch[081] Batch 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accuracy=81.642463 loss=0.734045 lr=0.000100 Epoch[081] Batch [1749]/[3759] Speed: 35.088421 samples/sec accuracy=81.688393 loss=0.732757 lr=0.000100 Epoch[081] Batch [1799]/[3759] Speed: 35.016227 samples/sec accuracy=81.680556 loss=0.732672 lr=0.000100 Epoch[081] Batch [1849]/[3759] Speed: 35.133790 samples/sec accuracy=81.656250 loss=0.733308 lr=0.000100 Epoch[081] Batch [1899]/[3759] Speed: 34.749476 samples/sec accuracy=81.666118 loss=0.733194 lr=0.000100 Epoch[081] Batch [1949]/[3759] Speed: 35.429619 samples/sec accuracy=81.636218 loss=0.734202 lr=0.000100 Epoch[081] Batch [1999]/[3759] Speed: 34.935172 samples/sec accuracy=81.639844 loss=0.734301 lr=0.000100 Epoch[081] Batch [2049]/[3759] Speed: 35.187803 samples/sec accuracy=81.641768 loss=0.734070 lr=0.000100 Epoch[081] Batch [2099]/[3759] Speed: 35.060769 samples/sec accuracy=81.661458 loss=0.733066 lr=0.000100 Epoch[081] Batch [2149]/[3759] Speed: 35.380966 samples/sec accuracy=81.651890 loss=0.733776 lr=0.000100 Epoch[081] 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accuracy=81.602005 loss=0.735121 lr=0.000100 Epoch[081] Batch [2699]/[3759] Speed: 35.280094 samples/sec accuracy=81.626157 loss=0.734720 lr=0.000100 Epoch[081] Batch [2749]/[3759] Speed: 35.293884 samples/sec accuracy=81.621591 loss=0.734466 lr=0.000100 Epoch[081] Batch [2799]/[3759] Speed: 35.288553 samples/sec accuracy=81.628906 loss=0.734007 lr=0.000100 Epoch[081] Batch [2849]/[3759] Speed: 35.312404 samples/sec accuracy=81.620066 loss=0.734096 lr=0.000100 Epoch[081] Batch [2899]/[3759] Speed: 35.302722 samples/sec accuracy=81.623922 loss=0.733974 lr=0.000100 Epoch[081] Batch [2949]/[3759] Speed: 35.249447 samples/sec accuracy=81.617585 loss=0.733821 lr=0.000100 Epoch[081] Batch [2999]/[3759] Speed: 35.255024 samples/sec accuracy=81.608854 loss=0.733976 lr=0.000100 Epoch[081] Batch [3049]/[3759] Speed: 35.098198 samples/sec accuracy=81.625512 loss=0.733356 lr=0.000100 Epoch[081] Batch [3099]/[3759] Speed: 35.151983 samples/sec accuracy=81.605343 loss=0.733858 lr=0.000100 Epoch[081] Batch [3149]/[3759] Speed: 34.947218 samples/sec accuracy=81.621032 loss=0.733474 lr=0.000100 Epoch[081] Batch [3199]/[3759] Speed: 35.107543 samples/sec accuracy=81.609863 loss=0.733912 lr=0.000100 Epoch[081] Batch [3249]/[3759] Speed: 34.965627 samples/sec accuracy=81.614904 loss=0.733694 lr=0.000100 Epoch[081] Batch [3299]/[3759] Speed: 35.330778 samples/sec accuracy=81.607481 loss=0.733976 lr=0.000100 Epoch[081] Batch [3349]/[3759] Speed: 34.849446 samples/sec accuracy=81.624067 loss=0.733712 lr=0.000100 Epoch[081] Batch [3399]/[3759] Speed: 35.224867 samples/sec accuracy=81.615809 loss=0.734055 lr=0.000100 Epoch[081] Batch [3449]/[3759] Speed: 34.769283 samples/sec accuracy=81.607790 loss=0.734552 lr=0.000100 Epoch[081] Batch [3499]/[3759] Speed: 35.131472 samples/sec accuracy=81.604911 loss=0.734682 lr=0.000100 Epoch[081] Batch [3549]/[3759] Speed: 34.332174 samples/sec accuracy=81.611356 loss=0.734546 lr=0.000100 Epoch[081] Batch [3599]/[3759] Speed: 35.132652 samples/sec accuracy=81.611545 loss=0.734307 lr=0.000100 Epoch[081] Batch [3649]/[3759] Speed: 34.341517 samples/sec accuracy=81.600599 loss=0.734727 lr=0.000100 Epoch[081] Batch [3699]/[3759] Speed: 34.879359 samples/sec accuracy=81.599240 loss=0.734472 lr=0.000100 Epoch[081] Batch [3749]/[3759] Speed: 36.035578 samples/sec accuracy=81.612500 loss=0.733750 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.781250 acc-top5=86.093750 Batch [0099]/[0303]: acc-top1=66.296875 acc-top5=85.406250 Batch [0149]/[0303]: acc-top1=66.833333 acc-top5=85.645833 Batch [0199]/[0303]: acc-top1=66.578125 acc-top5=85.750000 Batch [0249]/[0303]: acc-top1=66.418750 acc-top5=85.668750 Batch [0299]/[0303]: acc-top1=66.234375 acc-top5=85.635417 [Epoch 081] training: accuracy=81.612048 loss=0.733794 [Epoch 081] speed: 34 samples/sec time cost: 7334.320215 [Epoch 081] validation: acc-top1=66.243812 acc-top5=85.648721 loss=1.645053 Epoch[082] Batch [0049]/[3760] Speed: 24.906781 samples/sec accuracy=82.343750 loss=0.721034 lr=0.000100 Epoch[082] Batch [0099]/[3760] Speed: 34.975316 samples/sec accuracy=82.281250 loss=0.724227 lr=0.000100 Epoch[082] Batch [0149]/[3760] Speed: 35.360860 samples/sec accuracy=82.302083 loss=0.719292 lr=0.000100 Epoch[082] Batch [0199]/[3760] Speed: 34.847682 samples/sec accuracy=82.156250 loss=0.721962 lr=0.000100 Epoch[082] Batch [0249]/[3760] Speed: 35.246666 samples/sec accuracy=81.975000 loss=0.727511 lr=0.000100 Epoch[082] Batch [0299]/[3760] Speed: 34.976110 samples/sec accuracy=81.947917 loss=0.725564 lr=0.000100 Epoch[082] Batch [0349]/[3760] Speed: 35.318897 samples/sec accuracy=81.888393 loss=0.726186 lr=0.000100 Epoch[082] Batch [0399]/[3760] Speed: 35.011113 samples/sec accuracy=81.875000 loss=0.727170 lr=0.000100 Epoch[082] Batch [0449]/[3760] Speed: 35.205000 samples/sec accuracy=81.836806 loss=0.725188 lr=0.000100 Epoch[082] Batch [0499]/[3760] Speed: 34.912781 samples/sec accuracy=81.856250 loss=0.724649 lr=0.000100 Epoch[082] Batch [0549]/[3760] Speed: 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lr=0.000100 Epoch[082] Batch [2949]/[3760] Speed: 35.182282 samples/sec accuracy=81.825742 loss=0.723857 lr=0.000100 Epoch[082] Batch [2999]/[3760] Speed: 35.098407 samples/sec accuracy=81.835938 loss=0.723633 lr=0.000100 Epoch[082] Batch [3049]/[3760] Speed: 35.318118 samples/sec accuracy=81.855533 loss=0.723300 lr=0.000100 Epoch[082] Batch [3099]/[3760] Speed: 34.996629 samples/sec accuracy=81.843750 loss=0.723752 lr=0.000100 Epoch[082] Batch [3149]/[3760] Speed: 35.281129 samples/sec accuracy=81.831349 loss=0.724142 lr=0.000100 Epoch[082] Batch [3199]/[3760] Speed: 35.031569 samples/sec accuracy=81.830078 loss=0.724481 lr=0.000100 Epoch[082] Batch [3249]/[3760] Speed: 35.384195 samples/sec accuracy=81.837981 loss=0.724270 lr=0.000100 Epoch[082] Batch [3299]/[3760] Speed: 34.927193 samples/sec accuracy=81.833807 loss=0.724405 lr=0.000100 Epoch[082] Batch [3349]/[3760] Speed: 35.309472 samples/sec accuracy=81.829757 loss=0.724486 lr=0.000100 Epoch[082] Batch [3399]/[3760] Speed: 34.762314 samples/sec accuracy=81.835938 loss=0.724375 lr=0.000100 Epoch[082] Batch [3449]/[3760] Speed: 35.228260 samples/sec accuracy=81.840127 loss=0.724163 lr=0.000100 Epoch[082] Batch [3499]/[3760] Speed: 34.804937 samples/sec accuracy=81.853571 loss=0.723474 lr=0.000100 Epoch[082] Batch [3549]/[3760] Speed: 35.209453 samples/sec accuracy=81.823504 loss=0.724385 lr=0.000100 Epoch[082] Batch [3599]/[3760] Speed: 34.969898 samples/sec accuracy=81.823351 loss=0.724582 lr=0.000100 Epoch[082] Batch [3649]/[3760] Speed: 35.100568 samples/sec accuracy=81.823202 loss=0.724304 lr=0.000100 Epoch[082] Batch [3699]/[3760] Speed: 35.207731 samples/sec accuracy=81.815456 loss=0.724670 lr=0.000100 Epoch[082] Batch [3749]/[3760] Speed: 36.498786 samples/sec accuracy=81.829583 loss=0.724433 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.437500 acc-top5=86.187500 Batch [0099]/[0303]: acc-top1=66.843750 acc-top5=85.421875 Batch [0149]/[0303]: acc-top1=67.104167 acc-top5=85.635417 Batch [0199]/[0303]: acc-top1=66.750000 acc-top5=85.648438 Batch [0249]/[0303]: acc-top1=66.581250 acc-top5=85.525000 Batch [0299]/[0303]: acc-top1=66.401042 acc-top5=85.552083 [Epoch 082] training: accuracy=81.830535 loss=0.724347 [Epoch 082] speed: 34 samples/sec time cost: 7331.762691 [Epoch 082] validation: acc-top1=66.393358 acc-top5=85.571370 loss=1.627080 Epoch[083] Batch [0049]/[3760] Speed: 25.050743 samples/sec accuracy=82.125000 loss=0.746606 lr=0.000100 Epoch[083] Batch [0099]/[3760] Speed: 35.331381 samples/sec accuracy=81.937500 loss=0.736341 lr=0.000100 Epoch[083] Batch [0149]/[3760] Speed: 35.149027 samples/sec accuracy=81.510417 loss=0.737876 lr=0.000100 Epoch[083] Batch [0199]/[3760] Speed: 35.149073 samples/sec accuracy=81.539062 loss=0.738787 lr=0.000100 Epoch[083] Batch [0249]/[3760] Speed: 35.085976 samples/sec accuracy=81.418750 loss=0.739097 lr=0.000100 Epoch[083] Batch [0299]/[3760] Speed: 35.194670 samples/sec accuracy=81.390625 loss=0.738346 lr=0.000100 Epoch[083] Batch 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accuracy=81.746094 loss=0.726257 lr=0.000100 Epoch[083] Batch [0849]/[3760] Speed: 35.427777 samples/sec accuracy=81.720588 loss=0.727278 lr=0.000100 Epoch[083] Batch [0899]/[3760] Speed: 35.226022 samples/sec accuracy=81.722222 loss=0.727766 lr=0.000100 Epoch[083] Batch [0949]/[3760] Speed: 35.474385 samples/sec accuracy=81.771382 loss=0.726767 lr=0.000100 Epoch[083] Batch [0999]/[3760] Speed: 35.048155 samples/sec accuracy=81.781250 loss=0.726464 lr=0.000100 Epoch[083] Batch [1049]/[3760] Speed: 35.313635 samples/sec accuracy=81.751488 loss=0.726435 lr=0.000100 Epoch[083] Batch [1099]/[3760] Speed: 34.939224 samples/sec accuracy=81.826705 loss=0.724281 lr=0.000100 Epoch[083] Batch [1149]/[3760] Speed: 35.229923 samples/sec accuracy=81.777174 loss=0.726188 lr=0.000100 Epoch[083] Batch [1199]/[3760] Speed: 34.983151 samples/sec accuracy=81.812500 loss=0.726060 lr=0.000100 Epoch[083] Batch [1249]/[3760] Speed: 35.371045 samples/sec accuracy=81.827500 loss=0.724427 lr=0.000100 Epoch[083] 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accuracy=81.873214 loss=0.721478 lr=0.000100 Epoch[083] Batch [1799]/[3760] Speed: 35.192864 samples/sec accuracy=81.880208 loss=0.721477 lr=0.000100 Epoch[083] Batch [1849]/[3760] Speed: 35.277802 samples/sec accuracy=81.890203 loss=0.721268 lr=0.000100 Epoch[083] Batch [1899]/[3760] Speed: 35.269208 samples/sec accuracy=81.906250 loss=0.720828 lr=0.000100 Epoch[083] Batch [1949]/[3760] Speed: 35.293451 samples/sec accuracy=81.912660 loss=0.721002 lr=0.000100 Epoch[083] Batch [1999]/[3760] Speed: 35.270777 samples/sec accuracy=81.896875 loss=0.721330 lr=0.000100 Epoch[083] Batch [2049]/[3760] Speed: 35.394996 samples/sec accuracy=81.910061 loss=0.720946 lr=0.000100 Epoch[083] Batch [2099]/[3760] Speed: 35.027243 samples/sec accuracy=81.901786 loss=0.721029 lr=0.000100 Epoch[083] Batch [2149]/[3760] Speed: 35.319127 samples/sec accuracy=81.895349 loss=0.721496 lr=0.000100 Epoch[083] Batch [2199]/[3760] Speed: 34.877035 samples/sec accuracy=81.872159 loss=0.722546 lr=0.000100 Epoch[083] 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accuracy=81.883681 loss=0.723006 lr=0.000100 Epoch[083] Batch [2749]/[3760] Speed: 35.296653 samples/sec accuracy=81.871023 loss=0.723599 lr=0.000100 Epoch[083] Batch [2799]/[3760] Speed: 35.197480 samples/sec accuracy=81.862165 loss=0.723328 lr=0.000100 Epoch[083] Batch [2849]/[3760] Speed: 35.282202 samples/sec accuracy=81.868969 loss=0.723418 lr=0.000100 Epoch[083] Batch [2899]/[3760] Speed: 34.916297 samples/sec accuracy=81.848599 loss=0.724035 lr=0.000100 Epoch[083] Batch [2949]/[3760] Speed: 35.200464 samples/sec accuracy=81.845339 loss=0.724571 lr=0.000100 Epoch[083] Batch [2999]/[3760] Speed: 34.983725 samples/sec accuracy=81.843229 loss=0.724302 lr=0.000100 Epoch[083] Batch [3049]/[3760] Speed: 35.136661 samples/sec accuracy=81.841701 loss=0.724280 lr=0.000100 Epoch[083] Batch [3099]/[3760] Speed: 35.098678 samples/sec accuracy=81.845262 loss=0.724161 lr=0.000100 Epoch[083] Batch [3149]/[3760] Speed: 34.903443 samples/sec accuracy=81.852183 loss=0.723927 lr=0.000100 Epoch[083] Batch [3199]/[3760] Speed: 35.176206 samples/sec accuracy=81.871582 loss=0.723309 lr=0.000100 Epoch[083] Batch [3249]/[3760] Speed: 34.688421 samples/sec accuracy=81.873077 loss=0.723340 lr=0.000100 Epoch[083] Batch [3299]/[3760] Speed: 35.383727 samples/sec accuracy=81.877367 loss=0.723236 lr=0.000100 Epoch[083] Batch [3349]/[3760] Speed: 34.896636 samples/sec accuracy=81.895056 loss=0.722989 lr=0.000100 Epoch[083] Batch [3399]/[3760] Speed: 35.415493 samples/sec accuracy=81.893842 loss=0.723083 lr=0.000100 Epoch[083] Batch [3449]/[3760] Speed: 35.013681 samples/sec accuracy=81.892663 loss=0.723332 lr=0.000100 Epoch[083] Batch [3499]/[3760] Speed: 35.229188 samples/sec accuracy=81.912946 loss=0.722648 lr=0.000100 Epoch[083] Batch [3549]/[3760] Speed: 34.748781 samples/sec accuracy=81.922535 loss=0.722239 lr=0.000100 Epoch[083] Batch [3599]/[3760] Speed: 35.037432 samples/sec accuracy=81.903646 loss=0.722913 lr=0.000100 Epoch[083] Batch [3649]/[3760] Speed: 35.088406 samples/sec accuracy=81.886558 loss=0.723117 lr=0.000100 Epoch[083] Batch [3699]/[3760] Speed: 34.908098 samples/sec accuracy=81.874578 loss=0.723568 lr=0.000100 Epoch[083] Batch [3749]/[3760] Speed: 35.871598 samples/sec accuracy=81.877083 loss=0.723399 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.406250 acc-top5=86.281250 Batch [0099]/[0303]: acc-top1=66.046875 acc-top5=85.578125 Batch [0149]/[0303]: acc-top1=66.760417 acc-top5=85.770833 Batch [0199]/[0303]: acc-top1=66.359375 acc-top5=85.757812 Batch [0249]/[0303]: acc-top1=66.250000 acc-top5=85.668750 Batch [0299]/[0303]: acc-top1=66.166667 acc-top5=85.645833 [Epoch 083] training: accuracy=81.882480 loss=0.723233 [Epoch 083] speed: 34 samples/sec time cost: 7327.225539 [Epoch 083] validation: acc-top1=66.181931 acc-top5=85.659035 loss=1.625207 Epoch[084] Batch [0049]/[3759] Speed: 25.139935 samples/sec accuracy=82.562500 loss=0.692028 lr=0.000100 Epoch[084] Batch [0099]/[3759] Speed: 35.089735 samples/sec accuracy=82.015625 loss=0.707792 lr=0.000100 Epoch[084] Batch [0149]/[3759] Speed: 35.409740 samples/sec accuracy=81.979167 loss=0.717414 lr=0.000100 Epoch[084] Batch [0199]/[3759] Speed: 35.083474 samples/sec accuracy=81.546875 loss=0.731312 lr=0.000100 Epoch[084] Batch [0249]/[3759] Speed: 35.330281 samples/sec accuracy=81.556250 loss=0.730061 lr=0.000100 Epoch[084] Batch [0299]/[3759] Speed: 34.995742 samples/sec accuracy=81.661458 loss=0.727246 lr=0.000100 Epoch[084] Batch [0349]/[3759] Speed: 35.248184 samples/sec accuracy=81.607143 loss=0.728982 lr=0.000100 Epoch[084] Batch [0399]/[3759] Speed: 34.985781 samples/sec accuracy=81.687500 loss=0.727680 lr=0.000100 Epoch[084] Batch [0449]/[3759] Speed: 35.436755 samples/sec accuracy=81.690972 loss=0.725810 lr=0.000100 Epoch[084] Batch [0499]/[3759] Speed: 35.141854 samples/sec accuracy=81.737500 loss=0.723007 lr=0.000100 Epoch[084] Batch [0549]/[3759] Speed: 35.250044 samples/sec accuracy=81.730114 loss=0.726150 lr=0.000100 Epoch[084] Batch [0599]/[3759] Speed: 35.108609 samples/sec accuracy=81.765625 loss=0.723845 lr=0.000100 Epoch[084] Batch [0649]/[3759] Speed: 35.401909 samples/sec accuracy=81.860577 loss=0.721262 lr=0.000100 Epoch[084] Batch [0699]/[3759] Speed: 35.055767 samples/sec accuracy=81.966518 loss=0.717888 lr=0.000100 Epoch[084] Batch [0749]/[3759] Speed: 35.329013 samples/sec accuracy=81.937500 loss=0.718095 lr=0.000100 Epoch[084] Batch [0799]/[3759] Speed: 34.897519 samples/sec accuracy=81.937500 loss=0.718026 lr=0.000100 Epoch[084] Batch [0849]/[3759] Speed: 35.294982 samples/sec accuracy=81.983456 loss=0.718127 lr=0.000100 Epoch[084] Batch [0899]/[3759] Speed: 35.129978 samples/sec accuracy=82.005208 loss=0.717992 lr=0.000100 Epoch[084] Batch [0949]/[3759] Speed: 34.920679 samples/sec accuracy=81.981908 loss=0.718323 lr=0.000100 Epoch[084] Batch [0999]/[3759] Speed: 35.161362 samples/sec accuracy=82.040625 loss=0.714998 lr=0.000100 Epoch[084] Batch [1049]/[3759] Speed: 35.002608 samples/sec accuracy=82.050595 loss=0.715556 lr=0.000100 Epoch[084] Batch [1099]/[3759] Speed: 35.184266 samples/sec accuracy=82.029830 loss=0.715396 lr=0.000100 Epoch[084] Batch [1149]/[3759] Speed: 34.931963 samples/sec accuracy=82.024457 loss=0.715563 lr=0.000100 Epoch[084] Batch [1199]/[3759] Speed: 35.254388 samples/sec accuracy=82.040365 loss=0.715538 lr=0.000100 Epoch[084] Batch [1249]/[3759] Speed: 34.767626 samples/sec accuracy=82.027500 loss=0.716171 lr=0.000100 Epoch[084] Batch [1299]/[3759] Speed: 35.303077 samples/sec accuracy=82.001202 loss=0.717791 lr=0.000100 Epoch[084] Batch [1349]/[3759] Speed: 34.896779 samples/sec accuracy=81.986111 loss=0.718322 lr=0.000100 Epoch[084] Batch [1399]/[3759] Speed: 35.194300 samples/sec accuracy=81.962054 loss=0.719172 lr=0.000100 Epoch[084] Batch [1449]/[3759] Speed: 34.681225 samples/sec accuracy=81.928879 loss=0.720284 lr=0.000100 Epoch[084] Batch [1499]/[3759] Speed: 35.392651 samples/sec accuracy=81.942708 loss=0.720834 lr=0.000100 Epoch[084] Batch [1549]/[3759] Speed: 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34.970555 samples/sec accuracy=82.015000 loss=0.717573 lr=0.000100 Epoch[084] Batch [2549]/[3759] Speed: 35.021426 samples/sec accuracy=82.029412 loss=0.716915 lr=0.000100 Epoch[084] Batch [2599]/[3759] Speed: 34.702110 samples/sec accuracy=82.033654 loss=0.716873 lr=0.000100 Epoch[084] Batch [2649]/[3759] Speed: 35.069554 samples/sec accuracy=82.027712 loss=0.716794 lr=0.000100 Epoch[084] Batch [2699]/[3759] Speed: 35.080612 samples/sec accuracy=82.010417 loss=0.717016 lr=0.000100 Epoch[084] Batch [2749]/[3759] Speed: 34.854941 samples/sec accuracy=82.017045 loss=0.716930 lr=0.000100 Epoch[084] Batch [2799]/[3759] Speed: 34.829741 samples/sec accuracy=82.017857 loss=0.716916 lr=0.000100 Epoch[084] Batch [2849]/[3759] Speed: 34.633561 samples/sec accuracy=82.006579 loss=0.716572 lr=0.000100 Epoch[084] Batch [2899]/[3759] Speed: 35.021924 samples/sec accuracy=82.010776 loss=0.716307 lr=0.000100 Epoch[084] Batch [2949]/[3759] Speed: 34.696998 samples/sec accuracy=82.020657 loss=0.716059 lr=0.000100 Epoch[084] Batch [2999]/[3759] Speed: 35.193494 samples/sec accuracy=82.043229 loss=0.715309 lr=0.000100 Epoch[084] Batch [3049]/[3759] Speed: 34.673348 samples/sec accuracy=82.032787 loss=0.715281 lr=0.000100 Epoch[084] Batch [3099]/[3759] Speed: 35.208064 samples/sec accuracy=82.025202 loss=0.715438 lr=0.000100 Epoch[084] Batch [3149]/[3759] Speed: 34.745553 samples/sec accuracy=82.012401 loss=0.715831 lr=0.000100 Epoch[084] Batch [3199]/[3759] Speed: 35.211360 samples/sec accuracy=82.020508 loss=0.715781 lr=0.000100 Epoch[084] Batch [3249]/[3759] Speed: 35.048843 samples/sec accuracy=82.035577 loss=0.715302 lr=0.000100 Epoch[084] Batch [3299]/[3759] Speed: 35.235364 samples/sec accuracy=82.044508 loss=0.715045 lr=0.000100 Epoch[084] Batch [3349]/[3759] Speed: 34.911231 samples/sec accuracy=82.036847 loss=0.715130 lr=0.000100 Epoch[084] Batch [3399]/[3759] Speed: 34.975677 samples/sec accuracy=82.052390 loss=0.715017 lr=0.000100 Epoch[084] Batch [3449]/[3759] Speed: 34.986714 samples/sec accuracy=82.058877 loss=0.714962 lr=0.000100 Epoch[084] Batch [3499]/[3759] Speed: 34.938384 samples/sec accuracy=82.066964 loss=0.714718 lr=0.000100 Epoch[084] Batch [3549]/[3759] Speed: 35.019985 samples/sec accuracy=82.056338 loss=0.715005 lr=0.000100 Epoch[084] Batch [3599]/[3759] Speed: 34.684621 samples/sec accuracy=82.060764 loss=0.714761 lr=0.000100 Epoch[084] Batch [3649]/[3759] Speed: 35.222588 samples/sec accuracy=82.050942 loss=0.715369 lr=0.000100 Epoch[084] Batch [3699]/[3759] Speed: 34.693083 samples/sec accuracy=82.059544 loss=0.715354 lr=0.000100 Epoch[084] Batch [3749]/[3759] Speed: 36.566389 samples/sec accuracy=82.065417 loss=0.715003 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.843750 acc-top5=86.062500 Batch [0099]/[0303]: acc-top1=66.312500 acc-top5=85.312500 Batch [0149]/[0303]: acc-top1=66.666667 acc-top5=85.458333 Batch [0199]/[0303]: acc-top1=66.398438 acc-top5=85.460938 Batch [0249]/[0303]: acc-top1=66.318750 acc-top5=85.456250 Batch [0299]/[0303]: acc-top1=66.307292 acc-top5=85.442708 [Epoch 084] training: accuracy=82.071362 loss=0.714903 [Epoch 084] speed: 34 samples/sec time cost: 7347.003619 [Epoch 084] validation: acc-top1=66.321163 acc-top5=85.447607 loss=1.624357 Epoch[085] Batch [0049]/[3760] Speed: 25.367274 samples/sec accuracy=81.375000 loss=0.730264 lr=0.000100 Epoch[085] Batch [0099]/[3760] Speed: 35.424555 samples/sec accuracy=81.750000 loss=0.723533 lr=0.000100 Epoch[085] Batch [0149]/[3760] Speed: 35.261501 samples/sec accuracy=81.947917 loss=0.724109 lr=0.000100 Epoch[085] Batch [0199]/[3760] Speed: 35.201560 samples/sec accuracy=82.023438 loss=0.722063 lr=0.000100 Epoch[085] Batch [0249]/[3760] Speed: 35.076083 samples/sec accuracy=82.118750 loss=0.718288 lr=0.000100 Epoch[085] Batch [0299]/[3760] Speed: 35.168770 samples/sec accuracy=82.135417 loss=0.718744 lr=0.000100 Epoch[085] Batch [0349]/[3760] Speed: 35.125203 samples/sec accuracy=82.187500 loss=0.716078 lr=0.000100 Epoch[085] Batch 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accuracy=82.330882 loss=0.711119 lr=0.000100 Epoch[085] Batch [0899]/[3760] Speed: 34.746831 samples/sec accuracy=82.321181 loss=0.711495 lr=0.000100 Epoch[085] Batch [0949]/[3760] Speed: 35.073854 samples/sec accuracy=82.366776 loss=0.710866 lr=0.000100 Epoch[085] Batch [0999]/[3760] Speed: 34.769078 samples/sec accuracy=82.376562 loss=0.710012 lr=0.000100 Epoch[085] Batch [1049]/[3760] Speed: 35.349392 samples/sec accuracy=82.370536 loss=0.709559 lr=0.000100 Epoch[085] Batch [1099]/[3760] Speed: 34.750375 samples/sec accuracy=82.350852 loss=0.710530 lr=0.000100 Epoch[085] Batch [1149]/[3760] Speed: 35.417584 samples/sec accuracy=82.357337 loss=0.710040 lr=0.000100 Epoch[085] Batch [1199]/[3760] Speed: 34.995330 samples/sec accuracy=82.325521 loss=0.711182 lr=0.000100 Epoch[085] Batch [1249]/[3760] Speed: 35.453447 samples/sec accuracy=82.302500 loss=0.712020 lr=0.000100 Epoch[085] Batch [1299]/[3760] Speed: 35.147322 samples/sec accuracy=82.320913 loss=0.711926 lr=0.000100 Epoch[085] Batch [1349]/[3760] Speed: 35.383950 samples/sec accuracy=82.298611 loss=0.713227 lr=0.000100 Epoch[085] Batch [1399]/[3760] Speed: 35.099792 samples/sec accuracy=82.311384 loss=0.712252 lr=0.000100 Epoch[085] Batch [1449]/[3760] Speed: 35.022362 samples/sec accuracy=82.294181 loss=0.711777 lr=0.000100 Epoch[085] Batch [1499]/[3760] Speed: 35.427985 samples/sec accuracy=82.308333 loss=0.711265 lr=0.000100 Epoch[085] Batch [1549]/[3760] Speed: 35.092644 samples/sec accuracy=82.331653 loss=0.711187 lr=0.000100 Epoch[085] Batch [1599]/[3760] Speed: 35.102513 samples/sec accuracy=82.302734 loss=0.712025 lr=0.000100 Epoch[085] Batch [1649]/[3760] Speed: 34.972502 samples/sec accuracy=82.298295 loss=0.712054 lr=0.000100 Epoch[085] Batch [1699]/[3760] Speed: 35.247846 samples/sec accuracy=82.286765 loss=0.712884 lr=0.000100 Epoch[085] Batch [1749]/[3760] Speed: 35.006671 samples/sec accuracy=82.327679 loss=0.711602 lr=0.000100 Epoch[085] Batch [1799]/[3760] Speed: 35.282539 samples/sec accuracy=82.320312 loss=0.712424 lr=0.000100 Epoch[085] Batch [1849]/[3760] Speed: 34.694167 samples/sec accuracy=82.321791 loss=0.712163 lr=0.000100 Epoch[085] Batch [1899]/[3760] Speed: 35.387448 samples/sec accuracy=82.298520 loss=0.713477 lr=0.000100 Epoch[085] Batch [1949]/[3760] Speed: 34.831305 samples/sec accuracy=82.288462 loss=0.714003 lr=0.000100 Epoch[085] Batch [1999]/[3760] Speed: 35.192661 samples/sec accuracy=82.303125 loss=0.712514 lr=0.000100 Epoch[085] Batch [2049]/[3760] Speed: 35.142618 samples/sec accuracy=82.298780 loss=0.713152 lr=0.000100 Epoch[085] Batch [2099]/[3760] Speed: 35.259052 samples/sec accuracy=82.307292 loss=0.712034 lr=0.000100 Epoch[085] Batch [2149]/[3760] Speed: 35.133166 samples/sec accuracy=82.301599 loss=0.712788 lr=0.000100 Epoch[085] Batch [2199]/[3760] Speed: 35.143318 samples/sec accuracy=82.292614 loss=0.712313 lr=0.000100 Epoch[085] Batch [2249]/[3760] Speed: 35.304573 samples/sec accuracy=82.302778 loss=0.711946 lr=0.000100 Epoch[085] Batch [2299]/[3760] Speed: 35.269443 samples/sec accuracy=82.322011 loss=0.711859 lr=0.000100 Epoch[085] Batch [2349]/[3760] Speed: 35.331792 samples/sec accuracy=82.333777 loss=0.711621 lr=0.000100 Epoch[085] Batch [2399]/[3760] Speed: 35.145602 samples/sec accuracy=82.324870 loss=0.711871 lr=0.000100 Epoch[085] Batch [2449]/[3760] Speed: 34.944710 samples/sec accuracy=82.323342 loss=0.712338 lr=0.000100 Epoch[085] Batch [2499]/[3760] Speed: 35.265420 samples/sec accuracy=82.318125 loss=0.712660 lr=0.000100 Epoch[085] Batch [2549]/[3760] Speed: 35.009785 samples/sec accuracy=82.310662 loss=0.712658 lr=0.000100 Epoch[085] Batch [2599]/[3760] Speed: 34.884515 samples/sec accuracy=82.331130 loss=0.711756 lr=0.000100 Epoch[085] Batch [2649]/[3760] Speed: 35.000901 samples/sec accuracy=82.347877 loss=0.710766 lr=0.000100 Epoch[085] Batch [2699]/[3760] Speed: 34.860645 samples/sec accuracy=82.354745 loss=0.710326 lr=0.000100 Epoch[085] Batch [2749]/[3760] Speed: 35.073711 samples/sec accuracy=82.376705 loss=0.709690 lr=0.000100 Epoch[085] Batch [2799]/[3760] Speed: 34.499872 samples/sec accuracy=82.375000 loss=0.709565 lr=0.000100 Epoch[085] Batch [2849]/[3760] Speed: 35.193285 samples/sec accuracy=82.374452 loss=0.709276 lr=0.000100 Epoch[085] Batch [2899]/[3760] Speed: 34.605896 samples/sec accuracy=82.365841 loss=0.709879 lr=0.000100 Epoch[085] Batch [2949]/[3760] Speed: 35.213433 samples/sec accuracy=82.378178 loss=0.709487 lr=0.000100 Epoch[085] Batch [2999]/[3760] Speed: 34.833945 samples/sec accuracy=82.391667 loss=0.708657 lr=0.000100 Epoch[085] Batch [3049]/[3760] Speed: 34.895809 samples/sec accuracy=82.384734 loss=0.708612 lr=0.000100 Epoch[085] Batch [3099]/[3760] Speed: 35.150936 samples/sec accuracy=82.367944 loss=0.709214 lr=0.000100 Epoch[085] Batch [3149]/[3760] Speed: 34.752771 samples/sec accuracy=82.368552 loss=0.709013 lr=0.000100 Epoch[085] Batch [3199]/[3760] Speed: 35.303572 samples/sec accuracy=82.376465 loss=0.708429 lr=0.000100 Epoch[085] Batch [3249]/[3760] Speed: 34.802411 samples/sec accuracy=82.354808 loss=0.709486 lr=0.000100 Epoch[085] Batch [3299]/[3760] Speed: 35.458097 samples/sec accuracy=82.357481 loss=0.709553 lr=0.000100 Epoch[085] Batch [3349]/[3760] Speed: 35.087708 samples/sec accuracy=82.346082 loss=0.709987 lr=0.000100 Epoch[085] Batch [3399]/[3760] Speed: 35.371719 samples/sec accuracy=82.340993 loss=0.709960 lr=0.000100 Epoch[085] Batch [3449]/[3760] Speed: 35.222734 samples/sec accuracy=82.345562 loss=0.709649 lr=0.000100 Epoch[085] Batch [3499]/[3760] Speed: 35.401658 samples/sec accuracy=82.328125 loss=0.709682 lr=0.000100 Epoch[085] Batch [3549]/[3760] Speed: 35.068673 samples/sec accuracy=82.326585 loss=0.710207 lr=0.000100 Epoch[085] Batch [3599]/[3760] Speed: 35.321293 samples/sec accuracy=82.316840 loss=0.710858 lr=0.000100 Epoch[085] Batch [3649]/[3760] Speed: 35.119669 samples/sec accuracy=82.326199 loss=0.710394 lr=0.000100 Epoch[085] Batch [3699]/[3760] Speed: 35.387555 samples/sec accuracy=82.310811 loss=0.710795 lr=0.000100 Epoch[085] Batch [3749]/[3760] Speed: 36.420672 samples/sec accuracy=82.314167 loss=0.710837 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.437500 acc-top5=86.125000 Batch [0099]/[0303]: acc-top1=66.328125 acc-top5=85.421875 Batch [0149]/[0303]: acc-top1=66.833333 acc-top5=85.500000 Batch [0199]/[0303]: acc-top1=66.523438 acc-top5=85.578125 Batch [0249]/[0303]: acc-top1=66.350000 acc-top5=85.537500 Batch [0299]/[0303]: acc-top1=66.234375 acc-top5=85.598958 [Epoch 085] training: accuracy=82.317570 loss=0.710797 [Epoch 085] speed: 34 samples/sec time cost: 7342.074641 [Epoch 085] validation: acc-top1=66.233498 acc-top5=85.591997 loss=1.631351 Epoch[086] Batch [0049]/[3760] Speed: 25.007356 samples/sec accuracy=82.250000 loss=0.700342 lr=0.000100 Epoch[086] Batch [0099]/[3760] Speed: 35.446540 samples/sec accuracy=82.109375 loss=0.718966 lr=0.000100 Epoch[086] Batch [0149]/[3760] Speed: 35.224665 samples/sec accuracy=82.437500 loss=0.704603 lr=0.000100 Epoch[086] Batch [0199]/[3760] Speed: 35.302242 samples/sec accuracy=82.445312 loss=0.704694 lr=0.000100 Epoch[086] Batch [0249]/[3760] Speed: 35.269108 samples/sec accuracy=82.600000 loss=0.695013 lr=0.000100 Epoch[086] Batch [0299]/[3760] Speed: 35.067969 samples/sec accuracy=82.437500 loss=0.700050 lr=0.000100 Epoch[086] Batch [0349]/[3760] Speed: 34.939458 samples/sec accuracy=82.330357 loss=0.708334 lr=0.000100 Epoch[086] Batch [0399]/[3760] Speed: 35.292939 samples/sec accuracy=82.292969 loss=0.709053 lr=0.000100 Epoch[086] Batch [0449]/[3760] Speed: 34.949067 samples/sec accuracy=82.381944 loss=0.705294 lr=0.000100 Epoch[086] Batch [0499]/[3760] Speed: 35.294621 samples/sec accuracy=82.281250 loss=0.707293 lr=0.000100 Epoch[086] Batch [0549]/[3760] Speed: 34.809847 samples/sec accuracy=82.372159 loss=0.702524 lr=0.000100 Epoch[086] Batch [0599]/[3760] Speed: 35.249704 samples/sec accuracy=82.333333 loss=0.704932 lr=0.000100 Epoch[086] Batch [0649]/[3760] Speed: 34.725383 samples/sec accuracy=82.396635 loss=0.702921 lr=0.000100 Epoch[086] Batch [0699]/[3760] Speed: 35.508636 samples/sec accuracy=82.386161 loss=0.704038 lr=0.000100 Epoch[086] Batch [0749]/[3760] Speed: 34.975495 samples/sec accuracy=82.445833 loss=0.703687 lr=0.000100 Epoch[086] Batch [0799]/[3760] Speed: 35.216991 samples/sec accuracy=82.439453 loss=0.703996 lr=0.000100 Epoch[086] Batch [0849]/[3760] Speed: 35.026024 samples/sec accuracy=82.439338 loss=0.702520 lr=0.000100 Epoch[086] Batch [0899]/[3760] Speed: 35.382327 samples/sec accuracy=82.484375 loss=0.702879 lr=0.000100 Epoch[086] Batch [0949]/[3760] Speed: 34.828042 samples/sec accuracy=82.501645 loss=0.702212 lr=0.000100 Epoch[086] Batch [0999]/[3760] Speed: 35.322744 samples/sec accuracy=82.560937 loss=0.700194 lr=0.000100 Epoch[086] Batch [1049]/[3760] Speed: 35.033505 samples/sec accuracy=82.464286 loss=0.703269 lr=0.000100 Epoch[086] Batch [1099]/[3760] Speed: 35.293274 samples/sec accuracy=82.407670 loss=0.704270 lr=0.000100 Epoch[086] Batch [1149]/[3760] Speed: 35.247266 samples/sec accuracy=82.354620 loss=0.705698 lr=0.000100 Epoch[086] Batch [1199]/[3760] Speed: 35.070191 samples/sec accuracy=82.325521 loss=0.706876 lr=0.000100 Epoch[086] Batch [1249]/[3760] Speed: 35.363194 samples/sec accuracy=82.361250 loss=0.704843 lr=0.000100 Epoch[086] Batch [1299]/[3760] Speed: 35.069662 samples/sec accuracy=82.355769 loss=0.705041 lr=0.000100 Epoch[086] Batch [1349]/[3760] Speed: 35.364727 samples/sec accuracy=82.355324 loss=0.704589 lr=0.000100 Epoch[086] Batch [1399]/[3760] Speed: 35.202726 samples/sec accuracy=82.370536 loss=0.703408 lr=0.000100 Epoch[086] Batch [1449]/[3760] Speed: 35.277037 samples/sec accuracy=82.354526 loss=0.703157 lr=0.000100 Epoch[086] Batch [1499]/[3760] Speed: 35.401382 samples/sec accuracy=82.311458 loss=0.704488 lr=0.000100 Epoch[086] Batch [1549]/[3760] Speed: 35.345009 samples/sec accuracy=82.323589 loss=0.704786 lr=0.000100 Epoch[086] Batch [1599]/[3760] Speed: 35.144746 samples/sec accuracy=82.300781 loss=0.705884 lr=0.000100 Epoch[086] Batch [1649]/[3760] Speed: 35.435384 samples/sec accuracy=82.325758 loss=0.705385 lr=0.000100 Epoch[086] Batch [1699]/[3760] Speed: 35.197474 samples/sec accuracy=82.345588 loss=0.705353 lr=0.000100 Epoch[086] Batch [1749]/[3760] Speed: 35.352513 samples/sec accuracy=82.337500 loss=0.706112 lr=0.000100 Epoch[086] Batch [1799]/[3760] Speed: 35.251037 samples/sec accuracy=82.306424 loss=0.707289 lr=0.000100 Epoch[086] Batch [1849]/[3760] Speed: 35.378923 samples/sec accuracy=82.318412 loss=0.706840 lr=0.000100 Epoch[086] Batch [1899]/[3760] Speed: 35.068362 samples/sec accuracy=82.305099 loss=0.707299 lr=0.000100 Epoch[086] Batch [1949]/[3760] Speed: 35.295860 samples/sec accuracy=82.320513 loss=0.706932 lr=0.000100 Epoch[086] Batch [1999]/[3760] Speed: 35.273618 samples/sec accuracy=82.303125 loss=0.707958 lr=0.000100 Epoch[086] Batch [2049]/[3760] Speed: 35.069492 samples/sec accuracy=82.286585 loss=0.707930 lr=0.000100 Epoch[086] Batch [2099]/[3760] Speed: 35.203100 samples/sec accuracy=82.320685 loss=0.707404 lr=0.000100 Epoch[086] Batch [2149]/[3760] Speed: 35.083941 samples/sec accuracy=82.335756 loss=0.707196 lr=0.000100 Epoch[086] Batch [2199]/[3760] Speed: 35.301896 samples/sec accuracy=82.330256 loss=0.707080 lr=0.000100 Epoch[086] Batch [2249]/[3760] Speed: 35.065463 samples/sec accuracy=82.322222 loss=0.707280 lr=0.000100 Epoch[086] Batch [2299]/[3760] Speed: 35.428362 samples/sec accuracy=82.326766 loss=0.707294 lr=0.000100 Epoch[086] Batch [2349]/[3760] Speed: 35.195397 samples/sec accuracy=82.275931 loss=0.708996 lr=0.000100 Epoch[086] Batch [2399]/[3760] Speed: 35.490943 samples/sec accuracy=82.259766 loss=0.709456 lr=0.000100 Epoch[086] Batch [2449]/[3760] Speed: 35.344155 samples/sec accuracy=82.285077 loss=0.708198 lr=0.000100 Epoch[086] Batch [2499]/[3760] Speed: 35.283696 samples/sec accuracy=82.290000 loss=0.708072 lr=0.000100 Epoch[086] Batch [2549]/[3760] Speed: 35.380410 samples/sec accuracy=82.286765 loss=0.707933 lr=0.000100 Epoch[086] Batch [2599]/[3760] Speed: 35.165135 samples/sec accuracy=82.272236 loss=0.708580 lr=0.000100 Epoch[086] Batch [2649]/[3760] Speed: 35.170193 samples/sec accuracy=82.265920 loss=0.708586 lr=0.000100 Epoch[086] Batch [2699]/[3760] Speed: 35.157550 samples/sec accuracy=82.250579 loss=0.708874 lr=0.000100 Epoch[086] Batch [2749]/[3760] Speed: 35.310351 samples/sec accuracy=82.247727 loss=0.708968 lr=0.000100 Epoch[086] Batch [2799]/[3760] Speed: 35.395429 samples/sec accuracy=82.260603 loss=0.708464 lr=0.000100 Epoch[086] Batch [2849]/[3760] Speed: 35.235677 samples/sec accuracy=82.231908 loss=0.709797 lr=0.000100 Epoch[086] Batch [2899]/[3760] Speed: 35.325672 samples/sec accuracy=82.220905 loss=0.710269 lr=0.000100 Epoch[086] Batch [2949]/[3760] Speed: 35.022397 samples/sec accuracy=82.203390 loss=0.711194 lr=0.000100 Epoch[086] Batch [2999]/[3760] Speed: 35.369158 samples/sec accuracy=82.206771 loss=0.711457 lr=0.000100 Epoch[086] Batch [3049]/[3760] Speed: 35.070019 samples/sec accuracy=82.229508 loss=0.710738 lr=0.000100 Epoch[086] Batch [3099]/[3760] Speed: 35.191882 samples/sec accuracy=82.253024 loss=0.709937 lr=0.000100 Epoch[086] Batch [3149]/[3760] Speed: 35.088072 samples/sec accuracy=82.242560 loss=0.710166 lr=0.000100 Epoch[086] Batch [3199]/[3760] Speed: 35.401944 samples/sec accuracy=82.249512 loss=0.710249 lr=0.000100 Epoch[086] Batch [3249]/[3760] Speed: 35.235899 samples/sec accuracy=82.249519 loss=0.709836 lr=0.000100 Epoch[086] Batch [3299]/[3760] Speed: 35.016031 samples/sec accuracy=82.240057 loss=0.710157 lr=0.000100 Epoch[086] Batch [3349]/[3760] Speed: 35.046217 samples/sec accuracy=82.238340 loss=0.710308 lr=0.000100 Epoch[086] Batch [3399]/[3760] Speed: 35.002887 samples/sec accuracy=82.244485 loss=0.710213 lr=0.000100 Epoch[086] Batch [3449]/[3760] Speed: 35.143269 samples/sec accuracy=82.265399 loss=0.709729 lr=0.000100 Epoch[086] Batch [3499]/[3760] Speed: 35.028199 samples/sec accuracy=82.274554 loss=0.709384 lr=0.000100 Epoch[086] Batch [3549]/[3760] Speed: 35.221947 samples/sec accuracy=82.273768 loss=0.709377 lr=0.000100 Epoch[086] Batch [3599]/[3760] Speed: 34.792716 samples/sec accuracy=82.263455 loss=0.709791 lr=0.000100 Epoch[086] Batch [3649]/[3760] Speed: 35.217741 samples/sec accuracy=82.264983 loss=0.709758 lr=0.000100 Epoch[086] Batch [3699]/[3760] Speed: 34.763382 samples/sec accuracy=82.261824 loss=0.709692 lr=0.000100 Epoch[086] Batch [3749]/[3760] Speed: 36.307591 samples/sec accuracy=82.252500 loss=0.710020 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.312500 acc-top5=85.906250 Batch [0099]/[0303]: acc-top1=66.609375 acc-top5=85.312500 Batch [0149]/[0303]: acc-top1=66.958333 acc-top5=85.531250 Batch [0199]/[0303]: acc-top1=66.593750 acc-top5=85.578125 Batch [0249]/[0303]: acc-top1=66.481250 acc-top5=85.475000 Batch [0299]/[0303]: acc-top1=66.338542 acc-top5=85.473958 [Epoch 086] training: accuracy=82.252743 loss=0.710251 [Epoch 086] speed: 35 samples/sec time cost: 7324.276762 [Epoch 086] validation: acc-top1=66.352104 acc-top5=85.483705 loss=1.639801 Epoch[087] Batch [0049]/[3759] Speed: 25.067632 samples/sec accuracy=82.062500 loss=0.687174 lr=0.000100 Epoch[087] Batch [0099]/[3759] Speed: 34.914242 samples/sec accuracy=82.062500 loss=0.710613 lr=0.000100 Epoch[087] Batch [0149]/[3759] Speed: 35.230920 samples/sec accuracy=82.250000 loss=0.700979 lr=0.000100 Epoch[087] Batch [0199]/[3759] Speed: 34.701723 samples/sec accuracy=82.015625 loss=0.706415 lr=0.000100 Epoch[087] Batch [0249]/[3759] Speed: 35.382142 samples/sec accuracy=82.062500 loss=0.707624 lr=0.000100 Epoch[087] Batch [0299]/[3759] Speed: 34.994582 samples/sec accuracy=82.276042 loss=0.701777 lr=0.000100 Epoch[087] Batch [0349]/[3759] Speed: 35.249032 samples/sec accuracy=82.187500 loss=0.705165 lr=0.000100 Epoch[087] Batch [0399]/[3759] Speed: 35.081962 samples/sec accuracy=82.242188 loss=0.703550 lr=0.000100 Epoch[087] Batch 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accuracy=82.338542 loss=0.701269 lr=0.000100 Epoch[087] Batch [0949]/[3759] Speed: 34.748263 samples/sec accuracy=82.378289 loss=0.700272 lr=0.000100 Epoch[087] Batch [0999]/[3759] Speed: 35.154748 samples/sec accuracy=82.403125 loss=0.699064 lr=0.000100 Epoch[087] Batch [1049]/[3759] Speed: 34.352802 samples/sec accuracy=82.409226 loss=0.698710 lr=0.000100 Epoch[087] Batch [1099]/[3759] Speed: 35.205518 samples/sec accuracy=82.348011 loss=0.700996 lr=0.000100 Epoch[087] Batch [1149]/[3759] Speed: 34.633105 samples/sec accuracy=82.358696 loss=0.701637 lr=0.000100 Epoch[087] Batch [1199]/[3759] Speed: 35.001130 samples/sec accuracy=82.339844 loss=0.703040 lr=0.000100 Epoch[087] Batch [1249]/[3759] Speed: 35.066354 samples/sec accuracy=82.340000 loss=0.703164 lr=0.000100 Epoch[087] Batch [1299]/[3759] Speed: 34.983584 samples/sec accuracy=82.358173 loss=0.703754 lr=0.000100 Epoch[087] Batch [1349]/[3759] Speed: 34.972719 samples/sec accuracy=82.318287 loss=0.705457 lr=0.000100 Epoch[087] Batch [1399]/[3759] Speed: 34.880237 samples/sec accuracy=82.353795 loss=0.704665 lr=0.000100 Epoch[087] Batch [1449]/[3759] Speed: 34.849132 samples/sec accuracy=82.337284 loss=0.704836 lr=0.000100 Epoch[087] Batch [1499]/[3759] Speed: 34.859526 samples/sec accuracy=82.323958 loss=0.704930 lr=0.000100 Epoch[087] Batch [1549]/[3759] Speed: 35.096511 samples/sec accuracy=82.320565 loss=0.705576 lr=0.000100 Epoch[087] Batch [1599]/[3759] Speed: 34.815405 samples/sec accuracy=82.334961 loss=0.705261 lr=0.000100 Epoch[087] Batch [1649]/[3759] Speed: 35.228694 samples/sec accuracy=82.345644 loss=0.704188 lr=0.000100 Epoch[087] Batch [1699]/[3759] Speed: 34.594184 samples/sec accuracy=82.331801 loss=0.703579 lr=0.000100 Epoch[087] Batch [1749]/[3759] Speed: 35.144363 samples/sec accuracy=82.308929 loss=0.704123 lr=0.000100 Epoch[087] Batch [1799]/[3759] Speed: 34.511140 samples/sec accuracy=82.287326 loss=0.704713 lr=0.000100 Epoch[087] Batch [1849]/[3759] Speed: 35.226684 samples/sec accuracy=82.288007 loss=0.704785 lr=0.000100 Epoch[087] Batch [1899]/[3759] Speed: 34.674910 samples/sec accuracy=82.258224 loss=0.706272 lr=0.000100 Epoch[087] Batch [1949]/[3759] Speed: 35.090607 samples/sec accuracy=82.230769 loss=0.706746 lr=0.000100 Epoch[087] Batch [1999]/[3759] Speed: 34.915091 samples/sec accuracy=82.214844 loss=0.707290 lr=0.000100 Epoch[087] Batch [2049]/[3759] Speed: 34.815330 samples/sec accuracy=82.188262 loss=0.707655 lr=0.000100 Epoch[087] Batch [2099]/[3759] Speed: 34.985202 samples/sec accuracy=82.210565 loss=0.707378 lr=0.000100 Epoch[087] Batch [2149]/[3759] Speed: 34.704712 samples/sec accuracy=82.232558 loss=0.706570 lr=0.000100 Epoch[087] Batch [2199]/[3759] Speed: 35.264248 samples/sec accuracy=82.237926 loss=0.705940 lr=0.000100 Epoch[087] Batch [2249]/[3759] Speed: 34.809221 samples/sec accuracy=82.255556 loss=0.705317 lr=0.000100 Epoch[087] Batch [2299]/[3759] Speed: 35.306063 samples/sec accuracy=82.267663 loss=0.705493 lr=0.000100 Epoch[087] Batch [2349]/[3759] Speed: 34.789596 samples/sec accuracy=82.257979 loss=0.705874 lr=0.000100 Epoch[087] Batch [2399]/[3759] Speed: 35.388208 samples/sec accuracy=82.273438 loss=0.705655 lr=0.000100 Epoch[087] Batch [2449]/[3759] Speed: 34.864634 samples/sec accuracy=82.246173 loss=0.706391 lr=0.000100 Epoch[087] Batch [2499]/[3759] Speed: 35.266164 samples/sec accuracy=82.258750 loss=0.706416 lr=0.000100 Epoch[087] Batch [2549]/[3759] Speed: 35.304025 samples/sec accuracy=82.258578 loss=0.706525 lr=0.000100 Epoch[087] Batch [2599]/[3759] Speed: 35.106841 samples/sec accuracy=82.245192 loss=0.706907 lr=0.000100 Epoch[087] Batch [2649]/[3759] Speed: 35.290917 samples/sec accuracy=82.243514 loss=0.707678 lr=0.000100 Epoch[087] Batch [2699]/[3759] Speed: 35.068301 samples/sec accuracy=82.217014 loss=0.708699 lr=0.000100 Epoch[087] Batch [2749]/[3759] Speed: 35.342176 samples/sec accuracy=82.233523 loss=0.708325 lr=0.000100 Epoch[087] Batch [2799]/[3759] Speed: 35.269714 samples/sec accuracy=82.239397 loss=0.707852 lr=0.000100 Epoch[087] Batch [2849]/[3759] Speed: 35.315703 samples/sec accuracy=82.229167 loss=0.708615 lr=0.000100 Epoch[087] Batch [2899]/[3759] Speed: 35.221448 samples/sec accuracy=82.224138 loss=0.708954 lr=0.000100 Epoch[087] Batch [2949]/[3759] Speed: 35.174982 samples/sec accuracy=82.228814 loss=0.708427 lr=0.000100 Epoch[087] Batch [2999]/[3759] Speed: 35.225687 samples/sec accuracy=82.231250 loss=0.708346 lr=0.000100 Epoch[087] Batch [3049]/[3759] Speed: 35.367220 samples/sec accuracy=82.245389 loss=0.708094 lr=0.000100 Epoch[087] Batch [3099]/[3759] Speed: 35.246782 samples/sec accuracy=82.254536 loss=0.708128 lr=0.000100 Epoch[087] Batch [3149]/[3759] Speed: 35.430888 samples/sec accuracy=82.268849 loss=0.707598 lr=0.000100 Epoch[087] Batch [3199]/[3759] Speed: 35.138912 samples/sec accuracy=82.278320 loss=0.707214 lr=0.000100 Epoch[087] Batch [3249]/[3759] Speed: 35.292893 samples/sec accuracy=82.267308 loss=0.707286 lr=0.000100 Epoch[087] Batch [3299]/[3759] Speed: 35.185781 samples/sec accuracy=82.265152 loss=0.707491 lr=0.000100 Epoch[087] Batch [3349]/[3759] Speed: 35.379111 samples/sec accuracy=82.263993 loss=0.707748 lr=0.000100 Epoch[087] Batch [3399]/[3759] Speed: 35.020186 samples/sec accuracy=82.262868 loss=0.707932 lr=0.000100 Epoch[087] Batch [3449]/[3759] Speed: 35.414905 samples/sec accuracy=82.265851 loss=0.707730 lr=0.000100 Epoch[087] Batch [3499]/[3759] Speed: 34.882488 samples/sec accuracy=82.265625 loss=0.707516 lr=0.000100 Epoch[087] Batch [3549]/[3759] Speed: 35.339203 samples/sec accuracy=82.271127 loss=0.707496 lr=0.000100 Epoch[087] Batch [3599]/[3759] Speed: 35.045881 samples/sec accuracy=82.283854 loss=0.707389 lr=0.000100 Epoch[087] Batch [3649]/[3759] Speed: 35.250943 samples/sec accuracy=82.296661 loss=0.706949 lr=0.000100 Epoch[087] Batch [3699]/[3759] Speed: 35.054475 samples/sec accuracy=82.298142 loss=0.706997 lr=0.000100 Epoch[087] Batch [3749]/[3759] Speed: 36.512576 samples/sec accuracy=82.307500 loss=0.707355 lr=0.000100 Batch [0049]/[0303]: acc-top1=66.906250 acc-top5=86.125000 Batch [0099]/[0303]: acc-top1=66.437500 acc-top5=85.296875 Batch [0149]/[0303]: acc-top1=66.875000 acc-top5=85.572917 Batch [0199]/[0303]: acc-top1=66.562500 acc-top5=85.570312 Batch [0249]/[0303]: acc-top1=66.412500 acc-top5=85.525000 Batch [0299]/[0303]: acc-top1=66.291667 acc-top5=85.578125 [Epoch 087] training: accuracy=82.306631 loss=0.707435 [Epoch 087] speed: 34 samples/sec time cost: 7343.305966 [Epoch 087] validation: acc-top1=66.305693 acc-top5=85.586840 loss=1.629973 Epoch[088] Batch [0049]/[3760] Speed: 25.322904 samples/sec accuracy=81.843750 loss=0.736815 lr=0.000100 Epoch[088] Batch [0099]/[3760] Speed: 35.389084 samples/sec accuracy=81.843750 loss=0.727437 lr=0.000100 Epoch[088] Batch [0149]/[3760] Speed: 35.234432 samples/sec accuracy=82.114583 loss=0.712483 lr=0.000100 Epoch[088] Batch [0199]/[3760] Speed: 35.012742 samples/sec accuracy=81.984375 loss=0.715815 lr=0.000100 Epoch[088] Batch [0249]/[3760] Speed: 35.173707 samples/sec accuracy=82.081250 loss=0.720061 lr=0.000100 Epoch[088] Batch [0299]/[3760] Speed: 35.259782 samples/sec accuracy=82.000000 loss=0.723212 lr=0.000100 Epoch[088] Batch [0349]/[3760] Speed: 34.911518 samples/sec accuracy=81.986607 loss=0.720109 lr=0.000100 Epoch[088] Batch [0399]/[3760] Speed: 35.387672 samples/sec accuracy=82.070312 loss=0.719697 lr=0.000100 Epoch[088] Batch [0449]/[3760] Speed: 34.649904 samples/sec accuracy=82.045139 loss=0.722305 lr=0.000100 Epoch[088] Batch [0499]/[3760] Speed: 35.439763 samples/sec accuracy=82.146875 loss=0.715923 lr=0.000100 Epoch[088] Batch [0549]/[3760] Speed: 34.910592 samples/sec accuracy=82.116477 loss=0.714496 lr=0.000100 Epoch[088] Batch [0599]/[3760] Speed: 35.432177 samples/sec accuracy=82.164062 loss=0.713997 lr=0.000100 Epoch[088] Batch [0649]/[3760] Speed: 34.862184 samples/sec accuracy=82.177885 loss=0.712935 lr=0.000100 Epoch[088] Batch [0699]/[3760] Speed: 35.326728 samples/sec accuracy=82.234375 loss=0.709675 lr=0.000100 Epoch[088] Batch [0749]/[3760] Speed: 34.958589 samples/sec accuracy=82.302083 loss=0.706205 lr=0.000100 Epoch[088] Batch [0799]/[3760] Speed: 35.431331 samples/sec accuracy=82.351562 loss=0.706430 lr=0.000100 Epoch[088] Batch [0849]/[3760] Speed: 34.961213 samples/sec accuracy=82.369485 loss=0.705639 lr=0.000100 Epoch[088] Batch [0899]/[3760] Speed: 35.162925 samples/sec accuracy=82.364583 loss=0.707236 lr=0.000100 Epoch[088] Batch [0949]/[3760] Speed: 35.286956 samples/sec accuracy=82.417763 loss=0.705205 lr=0.000100 Epoch[088] Batch [0999]/[3760] Speed: 35.043758 samples/sec accuracy=82.464062 loss=0.702609 lr=0.000100 Epoch[088] Batch [1049]/[3760] Speed: 35.079909 samples/sec accuracy=82.461310 loss=0.702857 lr=0.000100 Epoch[088] Batch [1099]/[3760] Speed: 34.842802 samples/sec accuracy=82.490057 loss=0.701029 lr=0.000100 Epoch[088] Batch [1149]/[3760] Speed: 35.281049 samples/sec accuracy=82.468750 loss=0.701749 lr=0.000100 Epoch[088] Batch [1199]/[3760] Speed: 35.063694 samples/sec accuracy=82.440104 loss=0.701603 lr=0.000100 Epoch[088] Batch [1249]/[3760] Speed: 35.299339 samples/sec accuracy=82.426250 loss=0.701638 lr=0.000100 Epoch[088] Batch [1299]/[3760] Speed: 34.868581 samples/sec accuracy=82.381010 loss=0.703901 lr=0.000100 Epoch[088] Batch [1349]/[3760] Speed: 35.556511 samples/sec accuracy=82.370370 loss=0.705588 lr=0.000100 Epoch[088] Batch [1399]/[3760] Speed: 35.148027 samples/sec accuracy=82.366071 loss=0.705885 lr=0.000100 Epoch[088] Batch [1449]/[3760] Speed: 35.347378 samples/sec accuracy=82.366379 loss=0.705003 lr=0.000100 Epoch[088] Batch [1499]/[3760] Speed: 35.331512 samples/sec accuracy=82.347917 loss=0.704884 lr=0.000100 Epoch[088] Batch [1549]/[3760] Speed: 35.197148 samples/sec accuracy=82.346774 loss=0.705028 lr=0.000100 Epoch[088] Batch [1599]/[3760] Speed: 35.254358 samples/sec accuracy=82.380859 loss=0.703862 lr=0.000100 Epoch[088] Batch [1649]/[3760] Speed: 35.288352 samples/sec accuracy=82.432765 loss=0.702145 lr=0.000100 Epoch[088] Batch [1699]/[3760] Speed: 35.287740 samples/sec accuracy=82.414522 loss=0.702495 lr=0.000100 Epoch[088] Batch [1749]/[3760] Speed: 35.290243 samples/sec accuracy=82.414286 loss=0.702628 lr=0.000100 Epoch[088] Batch [1799]/[3760] Speed: 35.130126 samples/sec accuracy=82.428819 loss=0.701558 lr=0.000100 Epoch[088] Batch [1849]/[3760] Speed: 35.063253 samples/sec accuracy=82.416385 loss=0.702399 lr=0.000100 Epoch[088] Batch [1899]/[3760] Speed: 35.100038 samples/sec accuracy=82.435033 loss=0.702100 lr=0.000100 Epoch[088] Batch [1949]/[3760] Speed: 34.951088 samples/sec accuracy=82.443910 loss=0.702200 lr=0.000100 Epoch[088] Batch [1999]/[3760] Speed: 35.273671 samples/sec accuracy=82.432031 loss=0.702741 lr=0.000100 Epoch[088] Batch [2049]/[3760] Speed: 34.784318 samples/sec accuracy=82.414634 loss=0.703564 lr=0.000100 Epoch[088] Batch [2099]/[3760] Speed: 35.425324 samples/sec accuracy=82.413690 loss=0.703670 lr=0.000100 Epoch[088] Batch [2149]/[3760] Speed: 35.003304 samples/sec accuracy=82.439680 loss=0.702842 lr=0.000100 Epoch[088] Batch [2199]/[3760] Speed: 35.249173 samples/sec accuracy=82.448153 loss=0.702441 lr=0.000100 Epoch[088] Batch [2249]/[3760] Speed: 34.898990 samples/sec accuracy=82.439583 loss=0.702950 lr=0.000100 Epoch[088] Batch [2299]/[3760] Speed: 35.214792 samples/sec accuracy=82.430707 loss=0.702682 lr=0.000100 Epoch[088] Batch [2349]/[3760] Speed: 34.879337 samples/sec accuracy=82.422872 loss=0.703045 lr=0.000100 Epoch[088] Batch [2399]/[3760] Speed: 35.288273 samples/sec accuracy=82.415365 loss=0.703326 lr=0.000100 Epoch[088] Batch [2449]/[3760] Speed: 35.284074 samples/sec accuracy=82.434311 loss=0.703091 lr=0.000100 Epoch[088] Batch [2499]/[3760] Speed: 35.093278 samples/sec accuracy=82.445625 loss=0.703187 lr=0.000100 Epoch[088] Batch [2549]/[3760] Speed: 35.321217 samples/sec accuracy=82.434436 loss=0.703376 lr=0.000100 Epoch[088] Batch [2599]/[3760] Speed: 34.867093 samples/sec accuracy=82.432091 loss=0.703287 lr=0.000100 Epoch[088] Batch [2649]/[3760] Speed: 35.398365 samples/sec accuracy=82.443396 loss=0.702936 lr=0.000100 Epoch[088] Batch [2699]/[3760] Speed: 35.037579 samples/sec accuracy=82.445023 loss=0.702861 lr=0.000100 Epoch[088] Batch [2749]/[3760] Speed: 35.308808 samples/sec accuracy=82.459091 loss=0.702708 lr=0.000100 Epoch[088] Batch [2799]/[3760] Speed: 35.015245 samples/sec accuracy=82.455357 loss=0.702457 lr=0.000100 Epoch[088] Batch [2849]/[3760] Speed: 35.289291 samples/sec accuracy=82.459978 loss=0.702128 lr=0.000100 Epoch[088] Batch [2899]/[3760] Speed: 35.253970 samples/sec accuracy=82.481142 loss=0.701308 lr=0.000100 Epoch[088] Batch [2949]/[3760] Speed: 35.140708 samples/sec accuracy=82.489407 loss=0.701230 lr=0.000100 Epoch[088] Batch [2999]/[3760] Speed: 35.025216 samples/sec accuracy=82.502604 loss=0.700594 lr=0.000100 Epoch[088] Batch [3049]/[3760] Speed: 35.158351 samples/sec accuracy=82.503586 loss=0.700514 lr=0.000100 Epoch[088] Batch [3099]/[3760] Speed: 35.266536 samples/sec accuracy=82.489919 loss=0.700825 lr=0.000100 Epoch[088] Batch [3149]/[3760] Speed: 34.938221 samples/sec accuracy=82.492063 loss=0.700826 lr=0.000100 Epoch[088] Batch [3199]/[3760] Speed: 35.437153 samples/sec accuracy=82.500488 loss=0.700770 lr=0.000100 Epoch[088] Batch [3249]/[3760] Speed: 34.962332 samples/sec accuracy=82.480288 loss=0.701332 lr=0.000100 Epoch[088] Batch [3299]/[3760] Speed: 35.546973 samples/sec accuracy=82.465909 loss=0.701756 lr=0.000100 Epoch[088] Batch [3349]/[3760] Speed: 34.761375 samples/sec accuracy=82.470149 loss=0.701172 lr=0.000100 Epoch[088] Batch [3399]/[3760] Speed: 35.431893 samples/sec accuracy=82.477941 loss=0.700961 lr=0.000100 Epoch[088] Batch [3449]/[3760] Speed: 34.935425 samples/sec accuracy=82.469203 loss=0.701556 lr=0.000100 Epoch[088] Batch [3499]/[3760] Speed: 35.341671 samples/sec accuracy=82.486161 loss=0.701432 lr=0.000100 Epoch[088] Batch [3549]/[3760] Speed: 35.142749 samples/sec accuracy=82.484155 loss=0.701563 lr=0.000100 Epoch[088] Batch [3599]/[3760] Speed: 35.329809 samples/sec accuracy=82.470920 loss=0.702207 lr=0.000100 Epoch[088] Batch [3649]/[3760] Speed: 35.110372 samples/sec accuracy=82.473887 loss=0.702153 lr=0.000100 Epoch[088] Batch [3699]/[3760] Speed: 35.128945 samples/sec accuracy=82.494932 loss=0.701645 lr=0.000100 Epoch[088] Batch [3749]/[3760] Speed: 36.475915 samples/sec accuracy=82.473750 loss=0.702133 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.281250 acc-top5=85.906250 Batch [0099]/[0303]: acc-top1=66.390625 acc-top5=85.156250 Batch [0149]/[0303]: acc-top1=66.937500 acc-top5=85.489583 Batch [0199]/[0303]: acc-top1=66.554688 acc-top5=85.523438 Batch [0249]/[0303]: acc-top1=66.412500 acc-top5=85.418750 Batch [0299]/[0303]: acc-top1=66.286458 acc-top5=85.390625 [Epoch 088] training: accuracy=82.474651 loss=0.702352 [Epoch 088] speed: 34 samples/sec time cost: 7326.342015 [Epoch 088] validation: acc-top1=66.295380 acc-top5=85.396040 loss=1.637782 Epoch[089] Batch [0049]/[3760] Speed: 25.233651 samples/sec accuracy=82.656250 loss=0.710728 lr=0.000100 Epoch[089] Batch [0099]/[3760] Speed: 35.034848 samples/sec accuracy=82.734375 loss=0.698166 lr=0.000100 Epoch[089] Batch [0149]/[3760] Speed: 35.445591 samples/sec accuracy=82.937500 loss=0.691518 lr=0.000100 Epoch[089] Batch [0199]/[3760] Speed: 35.101471 samples/sec accuracy=82.507812 loss=0.705497 lr=0.000100 Epoch[089] Batch [0249]/[3760] Speed: 35.320078 samples/sec accuracy=82.587500 loss=0.702280 lr=0.000100 Epoch[089] Batch [0299]/[3760] Speed: 35.257723 samples/sec accuracy=82.604167 loss=0.700345 lr=0.000100 Epoch[089] Batch [0349]/[3760] Speed: 35.427057 samples/sec accuracy=82.732143 loss=0.694973 lr=0.000100 Epoch[089] Batch [0399]/[3760] Speed: 35.003826 samples/sec accuracy=82.738281 loss=0.698069 lr=0.000100 Epoch[089] Batch [0449]/[3760] Speed: 35.201200 samples/sec accuracy=82.791667 loss=0.693078 lr=0.000100 Epoch[089] Batch 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accuracy=82.513158 loss=0.698418 lr=0.000100 Epoch[089] Batch [0999]/[3760] Speed: 35.269604 samples/sec accuracy=82.514062 loss=0.697708 lr=0.000100 Epoch[089] Batch [1049]/[3760] Speed: 35.516023 samples/sec accuracy=82.568452 loss=0.694828 lr=0.000100 Epoch[089] Batch [1099]/[3760] Speed: 35.096750 samples/sec accuracy=82.612216 loss=0.693198 lr=0.000100 Epoch[089] Batch [1149]/[3760] Speed: 35.350000 samples/sec accuracy=82.550272 loss=0.693679 lr=0.000100 Epoch[089] Batch [1199]/[3760] Speed: 35.009108 samples/sec accuracy=82.571615 loss=0.694277 lr=0.000100 Epoch[089] Batch [1249]/[3760] Speed: 35.476110 samples/sec accuracy=82.580000 loss=0.694413 lr=0.000100 Epoch[089] Batch [1299]/[3760] Speed: 34.759636 samples/sec accuracy=82.569712 loss=0.694599 lr=0.000100 Epoch[089] Batch [1349]/[3760] Speed: 35.524699 samples/sec accuracy=82.605324 loss=0.694072 lr=0.000100 Epoch[089] Batch [1399]/[3760] Speed: 34.872304 samples/sec accuracy=82.587054 loss=0.695562 lr=0.000100 Epoch[089] 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accuracy=82.587171 loss=0.694569 lr=0.000100 Epoch[089] Batch [1949]/[3760] Speed: 35.048870 samples/sec accuracy=82.567308 loss=0.695035 lr=0.000100 Epoch[089] Batch [1999]/[3760] Speed: 35.529203 samples/sec accuracy=82.591406 loss=0.694883 lr=0.000100 Epoch[089] Batch [2049]/[3760] Speed: 34.879554 samples/sec accuracy=82.597561 loss=0.694650 lr=0.000100 Epoch[089] Batch [2099]/[3760] Speed: 35.551678 samples/sec accuracy=82.582589 loss=0.695208 lr=0.000100 Epoch[089] Batch [2149]/[3760] Speed: 35.096559 samples/sec accuracy=82.593023 loss=0.695275 lr=0.000100 Epoch[089] Batch [2199]/[3760] Speed: 35.398051 samples/sec accuracy=82.578125 loss=0.695609 lr=0.000100 Epoch[089] Batch [2249]/[3760] Speed: 35.292955 samples/sec accuracy=82.588194 loss=0.694600 lr=0.000100 Epoch[089] Batch [2299]/[3760] Speed: 35.117877 samples/sec accuracy=82.595109 loss=0.694506 lr=0.000100 Epoch[089] Batch [2349]/[3760] Speed: 35.209750 samples/sec accuracy=82.600399 loss=0.694674 lr=0.000100 Epoch[089] Batch [2399]/[3760] Speed: 35.261957 samples/sec accuracy=82.598307 loss=0.695232 lr=0.000100 Epoch[089] Batch [2449]/[3760] Speed: 35.337320 samples/sec accuracy=82.586735 loss=0.695686 lr=0.000100 Epoch[089] Batch [2499]/[3760] Speed: 35.068774 samples/sec accuracy=82.608750 loss=0.695018 lr=0.000100 Epoch[089] Batch [2549]/[3760] Speed: 35.436185 samples/sec accuracy=82.612132 loss=0.694950 lr=0.000100 Epoch[089] Batch [2599]/[3760] Speed: 34.839297 samples/sec accuracy=82.624399 loss=0.694736 lr=0.000100 Epoch[089] Batch [2649]/[3760] Speed: 35.305062 samples/sec accuracy=82.600825 loss=0.695367 lr=0.000100 Epoch[089] Batch [2699]/[3760] Speed: 34.645435 samples/sec accuracy=82.589699 loss=0.695590 lr=0.000100 Epoch[089] Batch [2749]/[3760] Speed: 35.485467 samples/sec accuracy=82.616477 loss=0.695152 lr=0.000100 Epoch[089] Batch [2799]/[3760] Speed: 34.766061 samples/sec accuracy=82.594308 loss=0.695937 lr=0.000100 Epoch[089] Batch [2849]/[3760] Speed: 35.240211 samples/sec accuracy=82.587171 loss=0.696125 lr=0.000100 Epoch[089] Batch [2899]/[3760] Speed: 35.108456 samples/sec accuracy=82.584052 loss=0.696209 lr=0.000100 Epoch[089] Batch [2949]/[3760] Speed: 34.941309 samples/sec accuracy=82.597987 loss=0.696367 lr=0.000100 Epoch[089] Batch [2999]/[3760] Speed: 35.002077 samples/sec accuracy=82.590625 loss=0.696943 lr=0.000100 Epoch[089] Batch [3049]/[3760] Speed: 34.723185 samples/sec accuracy=82.585041 loss=0.697485 lr=0.000100 Epoch[089] Batch [3099]/[3760] Speed: 35.318595 samples/sec accuracy=82.587198 loss=0.697451 lr=0.000100 Epoch[089] Batch [3149]/[3760] Speed: 34.724872 samples/sec accuracy=82.574901 loss=0.698241 lr=0.000100 Epoch[089] Batch [3199]/[3760] Speed: 35.401694 samples/sec accuracy=82.546875 loss=0.699099 lr=0.000100 Epoch[089] Batch [3249]/[3760] Speed: 34.740513 samples/sec accuracy=82.540385 loss=0.699094 lr=0.000100 Epoch[089] Batch [3299]/[3760] Speed: 35.345471 samples/sec accuracy=82.552083 loss=0.698615 lr=0.000100 Epoch[089] Batch [3349]/[3760] Speed: 34.957380 samples/sec accuracy=82.535914 loss=0.698987 lr=0.000100 Epoch[089] Batch [3399]/[3760] Speed: 35.256944 samples/sec accuracy=82.538143 loss=0.698839 lr=0.000100 Epoch[089] Batch [3449]/[3760] Speed: 35.064801 samples/sec accuracy=82.542120 loss=0.698860 lr=0.000100 Epoch[089] Batch [3499]/[3760] Speed: 35.248763 samples/sec accuracy=82.528125 loss=0.699072 lr=0.000100 Epoch[089] Batch [3549]/[3760] Speed: 35.122044 samples/sec accuracy=82.528609 loss=0.699238 lr=0.000100 Epoch[089] Batch [3599]/[3760] Speed: 35.234278 samples/sec accuracy=82.536892 loss=0.698784 lr=0.000100 Epoch[089] Batch [3649]/[3760] Speed: 35.430357 samples/sec accuracy=82.535103 loss=0.698875 lr=0.000100 Epoch[089] Batch [3699]/[3760] Speed: 35.130847 samples/sec accuracy=82.534628 loss=0.699509 lr=0.000100 Epoch[089] Batch [3749]/[3760] Speed: 36.465141 samples/sec accuracy=82.531667 loss=0.699762 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.062500 acc-top5=86.000000 Batch [0099]/[0303]: acc-top1=66.765625 acc-top5=85.421875 Batch [0149]/[0303]: acc-top1=67.145833 acc-top5=85.687500 Batch [0199]/[0303]: acc-top1=66.703125 acc-top5=85.664062 Batch [0249]/[0303]: acc-top1=66.543750 acc-top5=85.568750 Batch [0299]/[0303]: acc-top1=66.505208 acc-top5=85.552083 [Epoch 089] training: accuracy=82.533660 loss=0.699712 [Epoch 089] speed: 35 samples/sec time cost: 7318.848115 [Epoch 089] validation: acc-top1=66.506807 acc-top5=85.561056 loss=1.628078 Epoch[090] Batch [0049]/[3759] Speed: 24.706588 samples/sec accuracy=83.000000 loss=0.686650 lr=0.000100 Epoch[090] Batch [0099]/[3759] Speed: 34.988544 samples/sec accuracy=82.437500 loss=0.686040 lr=0.000100 Epoch[090] Batch [0149]/[3759] Speed: 35.173949 samples/sec accuracy=82.177083 loss=0.699857 lr=0.000100 Epoch[090] Batch [0199]/[3759] Speed: 34.951224 samples/sec accuracy=82.296875 loss=0.699988 lr=0.000100 Epoch[090] Batch [0249]/[3759] Speed: 34.917557 samples/sec accuracy=82.425000 loss=0.700498 lr=0.000100 Epoch[090] Batch [0299]/[3759] Speed: 35.063714 samples/sec accuracy=82.229167 loss=0.704773 lr=0.000100 Epoch[090] Batch [0349]/[3759] Speed: 34.899889 samples/sec accuracy=82.236607 loss=0.704447 lr=0.000100 Epoch[090] Batch [0399]/[3759] Speed: 35.311310 samples/sec accuracy=82.289062 loss=0.703892 lr=0.000100 Epoch[090] Batch [0449]/[3759] Speed: 34.968925 samples/sec accuracy=82.090278 loss=0.709246 lr=0.000100 Epoch[090] Batch [0499]/[3759] Speed: 35.348823 samples/sec accuracy=82.146875 loss=0.707508 lr=0.000100 Epoch[090] Batch [0549]/[3759] Speed: 34.729504 samples/sec accuracy=82.198864 loss=0.706386 lr=0.000100 Epoch[090] Batch [0599]/[3759] Speed: 35.386195 samples/sec accuracy=82.195312 loss=0.706949 lr=0.000100 Epoch[090] Batch [0649]/[3759] Speed: 34.873121 samples/sec accuracy=82.259615 loss=0.704621 lr=0.000100 Epoch[090] Batch [0699]/[3759] Speed: 35.146171 samples/sec accuracy=82.200893 loss=0.706769 lr=0.000100 Epoch[090] Batch [0749]/[3759] Speed: 34.829186 samples/sec accuracy=82.204167 loss=0.706220 lr=0.000100 Epoch[090] Batch [0799]/[3759] Speed: 35.308011 samples/sec accuracy=82.138672 loss=0.707439 lr=0.000100 Epoch[090] Batch [0849]/[3759] Speed: 34.924550 samples/sec accuracy=82.178309 loss=0.706508 lr=0.000100 Epoch[090] Batch [0899]/[3759] Speed: 35.107249 samples/sec accuracy=82.140625 loss=0.709766 lr=0.000100 Epoch[090] Batch [0949]/[3759] Speed: 34.944333 samples/sec accuracy=82.164474 loss=0.707936 lr=0.000100 Epoch[090] Batch [0999]/[3759] Speed: 35.251798 samples/sec accuracy=82.134375 loss=0.709080 lr=0.000100 Epoch[090] Batch [1049]/[3759] Speed: 35.250605 samples/sec accuracy=82.129464 loss=0.708048 lr=0.000100 Epoch[090] Batch [1099]/[3759] Speed: 35.112782 samples/sec accuracy=82.125000 loss=0.708657 lr=0.000100 Epoch[090] Batch [1149]/[3759] Speed: 35.091471 samples/sec accuracy=82.138587 loss=0.708322 lr=0.000100 Epoch[090] Batch [1199]/[3759] Speed: 34.963228 samples/sec accuracy=82.178385 loss=0.707614 lr=0.000100 Epoch[090] Batch [1249]/[3759] Speed: 35.185423 samples/sec accuracy=82.272500 loss=0.704899 lr=0.000100 Epoch[090] Batch [1299]/[3759] Speed: 34.869359 samples/sec accuracy=82.253606 loss=0.705484 lr=0.000100 Epoch[090] Batch [1349]/[3759] Speed: 35.468297 samples/sec accuracy=82.252315 loss=0.704725 lr=0.000100 Epoch[090] Batch [1399]/[3759] Speed: 35.065621 samples/sec accuracy=82.253348 loss=0.704572 lr=0.000100 Epoch[090] Batch [1449]/[3759] Speed: 35.319163 samples/sec accuracy=82.276940 loss=0.704889 lr=0.000100 Epoch[090] Batch [1499]/[3759] Speed: 34.901240 samples/sec accuracy=82.300000 loss=0.704555 lr=0.000100 Epoch[090] Batch [1549]/[3759] Speed: 35.416962 samples/sec accuracy=82.305444 loss=0.704765 lr=0.000100 Epoch[090] Batch [1599]/[3759] Speed: 34.904453 samples/sec accuracy=82.292969 loss=0.704745 lr=0.000100 Epoch[090] Batch [1649]/[3759] Speed: 35.177878 samples/sec accuracy=82.299242 loss=0.705019 lr=0.000100 Epoch[090] Batch [1699]/[3759] Speed: 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34.922280 samples/sec accuracy=82.506486 loss=0.700323 lr=0.000100 Epoch[090] Batch [2699]/[3759] Speed: 35.160291 samples/sec accuracy=82.493634 loss=0.700811 lr=0.000100 Epoch[090] Batch [2749]/[3759] Speed: 35.019440 samples/sec accuracy=82.495455 loss=0.700734 lr=0.000100 Epoch[090] Batch [2799]/[3759] Speed: 34.998716 samples/sec accuracy=82.502790 loss=0.700530 lr=0.000100 Epoch[090] Batch [2849]/[3759] Speed: 35.064010 samples/sec accuracy=82.483553 loss=0.701544 lr=0.000100 Epoch[090] Batch [2899]/[3759] Speed: 35.005481 samples/sec accuracy=82.482759 loss=0.701980 lr=0.000100 Epoch[090] Batch [2949]/[3759] Speed: 35.114812 samples/sec accuracy=82.497352 loss=0.701610 lr=0.000100 Epoch[090] Batch [2999]/[3759] Speed: 34.823097 samples/sec accuracy=82.484375 loss=0.702188 lr=0.000100 Epoch[090] Batch [3049]/[3759] Speed: 35.113718 samples/sec accuracy=82.471311 loss=0.702827 lr=0.000100 Epoch[090] Batch [3099]/[3759] Speed: 34.689928 samples/sec accuracy=82.468750 loss=0.702977 lr=0.000100 Epoch[090] Batch [3149]/[3759] Speed: 35.177006 samples/sec accuracy=82.466766 loss=0.702871 lr=0.000100 Epoch[090] Batch [3199]/[3759] Speed: 34.754201 samples/sec accuracy=82.481445 loss=0.702448 lr=0.000100 Epoch[090] Batch [3249]/[3759] Speed: 35.283604 samples/sec accuracy=82.494231 loss=0.701973 lr=0.000100 Epoch[090] Batch [3299]/[3759] Speed: 34.804293 samples/sec accuracy=82.490057 loss=0.701934 lr=0.000100 Epoch[090] Batch [3349]/[3759] Speed: 35.292244 samples/sec accuracy=82.511194 loss=0.701300 lr=0.000100 Epoch[090] Batch [3399]/[3759] Speed: 35.000785 samples/sec accuracy=82.493107 loss=0.701804 lr=0.000100 Epoch[090] Batch [3449]/[3759] Speed: 35.208373 samples/sec accuracy=82.493659 loss=0.701537 lr=0.000100 Epoch[090] Batch [3499]/[3759] Speed: 35.072602 samples/sec accuracy=82.490179 loss=0.701646 lr=0.000100 Epoch[090] Batch [3549]/[3759] Speed: 35.074136 samples/sec accuracy=82.484155 loss=0.701913 lr=0.000100 Epoch[090] Batch [3599]/[3759] Speed: 35.194953 samples/sec accuracy=82.484375 loss=0.701677 lr=0.000100 Epoch[090] Batch [3649]/[3759] Speed: 35.176650 samples/sec accuracy=82.493151 loss=0.701319 lr=0.000100 Epoch[090] Batch [3699]/[3759] Speed: 35.136592 samples/sec accuracy=82.494088 loss=0.701356 lr=0.000100 Epoch[090] Batch [3749]/[3759] Speed: 36.358719 samples/sec accuracy=82.502083 loss=0.701375 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.375000 acc-top5=86.000000 Batch [0099]/[0303]: acc-top1=66.718750 acc-top5=85.234375 Batch [0149]/[0303]: acc-top1=67.187500 acc-top5=85.531250 Batch [0199]/[0303]: acc-top1=66.812500 acc-top5=85.617188 Batch [0249]/[0303]: acc-top1=66.625000 acc-top5=85.531250 Batch [0299]/[0303]: acc-top1=66.468750 acc-top5=85.578125 [Epoch 090] training: accuracy=82.500333 loss=0.701215 [Epoch 090] speed: 34 samples/sec time cost: 7352.593488 [Epoch 090] validation: acc-top1=66.481023 acc-top5=85.586840 loss=1.621881 Epoch[091] Batch [0049]/[3760] Speed: 25.188099 samples/sec accuracy=83.062500 loss=0.698541 lr=0.000100 Epoch[091] Batch [0099]/[3760] Speed: 35.264623 samples/sec accuracy=82.609375 loss=0.709297 lr=0.000100 Epoch[091] Batch [0149]/[3760] Speed: 35.209594 samples/sec accuracy=82.427083 loss=0.708521 lr=0.000100 Epoch[091] Batch [0199]/[3760] Speed: 35.371931 samples/sec accuracy=82.507812 loss=0.704409 lr=0.000100 Epoch[091] Batch [0249]/[3760] Speed: 34.963501 samples/sec accuracy=82.531250 loss=0.702156 lr=0.000100 Epoch[091] Batch [0299]/[3760] Speed: 35.221802 samples/sec accuracy=82.546875 loss=0.700936 lr=0.000100 Epoch[091] Batch [0349]/[3760] Speed: 35.105254 samples/sec accuracy=82.593750 loss=0.699422 lr=0.000100 Epoch[091] Batch [0399]/[3760] Speed: 35.146277 samples/sec accuracy=82.593750 loss=0.703201 lr=0.000100 Epoch[091] Batch [0449]/[3760] Speed: 35.030449 samples/sec accuracy=82.628472 loss=0.703279 lr=0.000100 Epoch[091] Batch [0499]/[3760] Speed: 35.288513 samples/sec accuracy=82.675000 loss=0.700418 lr=0.000100 Epoch[091] 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accuracy=82.742188 loss=0.695745 lr=0.000100 Epoch[091] Batch [1049]/[3760] Speed: 35.201694 samples/sec accuracy=82.700893 loss=0.696285 lr=0.000100 Epoch[091] Batch [1099]/[3760] Speed: 34.717174 samples/sec accuracy=82.696023 loss=0.696234 lr=0.000100 Epoch[091] Batch [1149]/[3760] Speed: 34.914280 samples/sec accuracy=82.683424 loss=0.696728 lr=0.000100 Epoch[091] Batch [1199]/[3760] Speed: 34.706827 samples/sec accuracy=82.666667 loss=0.696885 lr=0.000100 Epoch[091] Batch [1249]/[3760] Speed: 34.753448 samples/sec accuracy=82.643750 loss=0.696880 lr=0.000100 Epoch[091] Batch [1299]/[3760] Speed: 34.948647 samples/sec accuracy=82.635817 loss=0.696425 lr=0.000100 Epoch[091] Batch [1349]/[3760] Speed: 34.659277 samples/sec accuracy=82.623843 loss=0.697182 lr=0.000100 Epoch[091] Batch [1399]/[3760] Speed: 35.130319 samples/sec accuracy=82.622768 loss=0.696822 lr=0.000100 Epoch[091] Batch [1449]/[3760] Speed: 34.448954 samples/sec accuracy=82.665948 loss=0.695213 lr=0.000100 Epoch[091] Batch [1499]/[3760] Speed: 34.996659 samples/sec accuracy=82.640625 loss=0.695914 lr=0.000100 Epoch[091] Batch [1549]/[3760] Speed: 34.404087 samples/sec accuracy=82.630040 loss=0.695585 lr=0.000100 Epoch[091] Batch [1599]/[3760] Speed: 35.015821 samples/sec accuracy=82.617188 loss=0.695985 lr=0.000100 Epoch[091] Batch [1649]/[3760] Speed: 34.651836 samples/sec accuracy=82.587121 loss=0.696202 lr=0.000100 Epoch[091] Batch [1699]/[3760] Speed: 34.954585 samples/sec accuracy=82.616728 loss=0.695423 lr=0.000100 Epoch[091] Batch [1749]/[3760] Speed: 35.140971 samples/sec accuracy=82.643750 loss=0.694852 lr=0.000100 Epoch[091] Batch [1799]/[3760] Speed: 34.838470 samples/sec accuracy=82.652778 loss=0.694986 lr=0.000100 Epoch[091] Batch [1849]/[3760] Speed: 34.890743 samples/sec accuracy=82.611486 loss=0.696252 lr=0.000100 Epoch[091] Batch [1899]/[3760] Speed: 34.559394 samples/sec accuracy=82.600329 loss=0.696430 lr=0.000100 Epoch[091] Batch [1949]/[3760] Speed: 35.215990 samples/sec accuracy=82.613782 loss=0.695944 lr=0.000100 Epoch[091] Batch [1999]/[3760] Speed: 34.459753 samples/sec accuracy=82.639063 loss=0.695657 lr=0.000100 Epoch[091] Batch [2049]/[3760] Speed: 35.461695 samples/sec accuracy=82.642530 loss=0.695523 lr=0.000100 Epoch[091] Batch [2099]/[3760] Speed: 34.653823 samples/sec accuracy=82.659226 loss=0.694998 lr=0.000100 Epoch[091] Batch [2149]/[3760] Speed: 35.117692 samples/sec accuracy=82.651163 loss=0.695394 lr=0.000100 Epoch[091] Batch [2199]/[3760] Speed: 34.874987 samples/sec accuracy=82.655540 loss=0.695426 lr=0.000100 Epoch[091] Batch [2249]/[3760] Speed: 35.059860 samples/sec accuracy=82.661806 loss=0.695516 lr=0.000100 Epoch[091] Batch [2299]/[3760] Speed: 34.841821 samples/sec accuracy=82.652853 loss=0.695877 lr=0.000100 Epoch[091] Batch [2349]/[3760] Speed: 34.781042 samples/sec accuracy=82.640957 loss=0.695849 lr=0.000100 Epoch[091] Batch [2399]/[3760] Speed: 35.058215 samples/sec accuracy=82.654297 loss=0.695554 lr=0.000100 Epoch[091] Batch [2449]/[3760] Speed: 34.819182 samples/sec accuracy=82.673469 loss=0.695179 lr=0.000100 Epoch[091] Batch [2499]/[3760] Speed: 35.180860 samples/sec accuracy=82.671875 loss=0.694980 lr=0.000100 Epoch[091] Batch [2549]/[3760] Speed: 34.573864 samples/sec accuracy=82.664828 loss=0.695637 lr=0.000100 Epoch[091] Batch [2599]/[3760] Speed: 35.152378 samples/sec accuracy=82.673678 loss=0.695109 lr=0.000100 Epoch[091] Batch [2649]/[3760] Speed: 34.427940 samples/sec accuracy=82.676887 loss=0.694593 lr=0.000100 Epoch[091] Batch [2699]/[3760] Speed: 35.155232 samples/sec accuracy=82.665509 loss=0.695002 lr=0.000100 Epoch[091] Batch [2749]/[3760] Speed: 34.563011 samples/sec accuracy=82.671591 loss=0.694480 lr=0.000100 Epoch[091] Batch [2799]/[3760] Speed: 34.799060 samples/sec accuracy=82.667969 loss=0.694313 lr=0.000100 Epoch[091] Batch [2849]/[3760] Speed: 34.547047 samples/sec accuracy=82.668311 loss=0.694052 lr=0.000100 Epoch[091] Batch [2899]/[3760] Speed: 34.665702 samples/sec accuracy=82.668642 loss=0.693781 lr=0.000100 Epoch[091] Batch [2949]/[3760] Speed: 34.841531 samples/sec accuracy=82.658369 loss=0.693929 lr=0.000100 Epoch[091] Batch [2999]/[3760] Speed: 34.465033 samples/sec accuracy=82.631771 loss=0.695107 lr=0.000100 Epoch[091] Batch [3049]/[3760] Speed: 35.073342 samples/sec accuracy=82.626537 loss=0.695256 lr=0.000100 Epoch[091] Batch [3099]/[3760] Speed: 34.212143 samples/sec accuracy=82.626008 loss=0.695641 lr=0.000100 Epoch[091] Batch [3149]/[3760] Speed: 35.208943 samples/sec accuracy=82.629464 loss=0.695621 lr=0.000100 Epoch[091] Batch [3199]/[3760] Speed: 34.459034 samples/sec accuracy=82.599121 loss=0.696324 lr=0.000100 Epoch[091] Batch [3249]/[3760] Speed: 35.046017 samples/sec accuracy=82.604327 loss=0.696431 lr=0.000100 Epoch[091] Batch [3299]/[3760] Speed: 34.616791 samples/sec accuracy=82.611742 loss=0.696017 lr=0.000100 Epoch[091] Batch [3349]/[3760] Speed: 34.761070 samples/sec accuracy=82.619869 loss=0.695932 lr=0.000100 Epoch[091] Batch [3399]/[3760] Speed: 34.614474 samples/sec accuracy=82.624540 loss=0.695594 lr=0.000100 Epoch[091] Batch [3449]/[3760] Speed: 34.461362 samples/sec accuracy=82.619565 loss=0.695780 lr=0.000100 Epoch[091] Batch [3499]/[3760] Speed: 34.967789 samples/sec accuracy=82.619643 loss=0.695821 lr=0.000100 Epoch[091] Batch [3549]/[3760] Speed: 34.209728 samples/sec accuracy=82.607835 loss=0.696106 lr=0.000100 Epoch[091] Batch [3599]/[3760] Speed: 35.273723 samples/sec accuracy=82.605035 loss=0.696168 lr=0.000100 Epoch[091] Batch [3649]/[3760] Speed: 34.452597 samples/sec accuracy=82.607021 loss=0.696089 lr=0.000100 Epoch[091] Batch [3699]/[3760] Speed: 34.827345 samples/sec accuracy=82.614865 loss=0.695472 lr=0.000100 Epoch[091] Batch [3749]/[3760] Speed: 35.961649 samples/sec accuracy=82.607500 loss=0.696143 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.218750 acc-top5=85.906250 Batch [0099]/[0303]: acc-top1=66.625000 acc-top5=85.406250 Batch [0149]/[0303]: acc-top1=67.041667 acc-top5=85.583333 Batch [0199]/[0303]: acc-top1=66.703125 acc-top5=85.671875 Batch [0249]/[0303]: acc-top1=66.543750 acc-top5=85.606250 Batch [0299]/[0303]: acc-top1=66.437500 acc-top5=85.598958 [Epoch 091] training: accuracy=82.610954 loss=0.696047 [Epoch 091] speed: 34 samples/sec time cost: 7383.699720 [Epoch 091] validation: acc-top1=66.444926 acc-top5=85.617781 loss=1.634328 Epoch[092] Batch [0049]/[3760] Speed: 25.044427 samples/sec accuracy=82.937500 loss=0.717612 lr=0.000100 Epoch[092] Batch [0099]/[3760] Speed: 35.331727 samples/sec accuracy=82.765625 loss=0.715426 lr=0.000100 Epoch[092] Batch [0149]/[3760] Speed: 35.453533 samples/sec accuracy=82.614583 loss=0.706795 lr=0.000100 Epoch[092] Batch [0199]/[3760] Speed: 35.361596 samples/sec accuracy=82.562500 loss=0.712191 lr=0.000100 Epoch[092] Batch [0249]/[3760] Speed: 35.546777 samples/sec accuracy=82.756250 loss=0.703162 lr=0.000100 Epoch[092] Batch [0299]/[3760] Speed: 35.230829 samples/sec accuracy=82.687500 loss=0.703817 lr=0.000100 Epoch[092] Batch [0349]/[3760] Speed: 35.217462 samples/sec accuracy=82.723214 loss=0.701764 lr=0.000100 Epoch[092] Batch [0399]/[3760] Speed: 35.276357 samples/sec accuracy=82.738281 loss=0.699372 lr=0.000100 Epoch[092] Batch [0449]/[3760] Speed: 35.168190 samples/sec accuracy=82.680556 loss=0.699545 lr=0.000100 Epoch[092] Batch [0499]/[3760] Speed: 35.145756 samples/sec accuracy=82.831250 loss=0.693998 lr=0.000100 Epoch[092] Batch [0549]/[3760] Speed: 35.216261 samples/sec accuracy=82.801136 loss=0.694783 lr=0.000100 Epoch[092] Batch [0599]/[3760] Speed: 35.117613 samples/sec accuracy=82.802083 loss=0.696218 lr=0.000100 Epoch[092] Batch [0649]/[3760] Speed: 35.006422 samples/sec accuracy=82.805288 loss=0.695202 lr=0.000100 Epoch[092] Batch [0699]/[3760] Speed: 35.099455 samples/sec accuracy=82.819196 loss=0.692696 lr=0.000100 Epoch[092] Batch [0749]/[3760] Speed: 35.160531 samples/sec accuracy=82.789583 loss=0.693536 lr=0.000100 Epoch[092] Batch 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accuracy=82.812500 loss=0.690806 lr=0.000100 Epoch[092] Batch [1299]/[3760] Speed: 35.344075 samples/sec accuracy=82.795673 loss=0.691317 lr=0.000100 Epoch[092] Batch [1349]/[3760] Speed: 35.111675 samples/sec accuracy=82.785880 loss=0.691645 lr=0.000100 Epoch[092] Batch [1399]/[3760] Speed: 35.230578 samples/sec accuracy=82.818080 loss=0.690885 lr=0.000100 Epoch[092] Batch [1449]/[3760] Speed: 34.986702 samples/sec accuracy=82.860991 loss=0.689500 lr=0.000100 Epoch[092] Batch [1499]/[3760] Speed: 35.335382 samples/sec accuracy=82.871875 loss=0.689213 lr=0.000100 Epoch[092] Batch [1549]/[3760] Speed: 34.678232 samples/sec accuracy=82.855847 loss=0.689849 lr=0.000100 Epoch[092] Batch [1599]/[3760] Speed: 35.512641 samples/sec accuracy=82.815430 loss=0.691024 lr=0.000100 Epoch[092] Batch [1649]/[3760] Speed: 34.867101 samples/sec accuracy=82.820076 loss=0.690738 lr=0.000100 Epoch[092] Batch [1699]/[3760] Speed: 35.089301 samples/sec accuracy=82.780331 loss=0.690941 lr=0.000100 Epoch[092] Batch [1749]/[3760] Speed: 35.221350 samples/sec accuracy=82.784821 loss=0.691065 lr=0.000100 Epoch[092] Batch [1799]/[3760] Speed: 34.998627 samples/sec accuracy=82.756944 loss=0.691709 lr=0.000100 Epoch[092] Batch [1849]/[3760] Speed: 35.343326 samples/sec accuracy=82.754223 loss=0.691540 lr=0.000100 Epoch[092] Batch [1899]/[3760] Speed: 34.894766 samples/sec accuracy=82.755757 loss=0.691395 lr=0.000100 Epoch[092] Batch [1949]/[3760] Speed: 35.365522 samples/sec accuracy=82.750801 loss=0.691568 lr=0.000100 Epoch[092] Batch [1999]/[3760] Speed: 34.886377 samples/sec accuracy=82.731250 loss=0.692434 lr=0.000100 Epoch[092] Batch [2049]/[3760] Speed: 35.442185 samples/sec accuracy=82.720274 loss=0.692786 lr=0.000100 Epoch[092] Batch [2099]/[3760] Speed: 35.059846 samples/sec accuracy=82.700149 loss=0.693689 lr=0.000100 Epoch[092] Batch [2149]/[3760] Speed: 35.241537 samples/sec accuracy=82.696948 loss=0.693503 lr=0.000100 Epoch[092] Batch [2199]/[3760] Speed: 35.438264 samples/sec accuracy=82.668324 loss=0.694052 lr=0.000100 Epoch[092] Batch [2249]/[3760] Speed: 35.288722 samples/sec accuracy=82.639583 loss=0.694865 lr=0.000100 Epoch[092] Batch [2299]/[3760] Speed: 35.333421 samples/sec accuracy=82.660326 loss=0.694291 lr=0.000100 Epoch[092] Batch [2349]/[3760] Speed: 35.277331 samples/sec accuracy=82.654920 loss=0.694568 lr=0.000100 Epoch[092] Batch [2399]/[3760] Speed: 35.366117 samples/sec accuracy=82.667969 loss=0.694199 lr=0.000100 Epoch[092] Batch [2449]/[3760] Speed: 35.530211 samples/sec accuracy=82.660077 loss=0.694379 lr=0.000100 Epoch[092] Batch [2499]/[3760] Speed: 35.262733 samples/sec accuracy=82.636250 loss=0.694571 lr=0.000100 Epoch[092] Batch [2549]/[3760] Speed: 35.230518 samples/sec accuracy=82.614583 loss=0.695565 lr=0.000100 Epoch[092] Batch [2599]/[3760] Speed: 34.961100 samples/sec accuracy=82.603365 loss=0.695781 lr=0.000100 Epoch[092] Batch [2649]/[3760] Speed: 35.342182 samples/sec accuracy=82.594340 loss=0.695942 lr=0.000100 Epoch[092] Batch [2699]/[3760] Speed: 34.857461 samples/sec accuracy=82.607639 loss=0.695556 lr=0.000100 Epoch[092] Batch [2749]/[3760] Speed: 35.179203 samples/sec accuracy=82.606818 loss=0.696002 lr=0.000100 Epoch[092] Batch [2799]/[3760] Speed: 34.967531 samples/sec accuracy=82.595424 loss=0.696510 lr=0.000100 Epoch[092] Batch [2849]/[3760] Speed: 34.725648 samples/sec accuracy=82.608004 loss=0.696049 lr=0.000100 Epoch[092] Batch [2899]/[3760] Speed: 35.168331 samples/sec accuracy=82.599677 loss=0.696231 lr=0.000100 Epoch[092] Batch [2949]/[3760] Speed: 34.706995 samples/sec accuracy=82.605932 loss=0.696125 lr=0.000100 Epoch[092] Batch [2999]/[3760] Speed: 35.195447 samples/sec accuracy=82.597396 loss=0.696553 lr=0.000100 Epoch[092] Batch [3049]/[3760] Speed: 34.700372 samples/sec accuracy=82.594262 loss=0.696792 lr=0.000100 Epoch[092] Batch [3099]/[3760] Speed: 35.312372 samples/sec accuracy=82.588206 loss=0.697208 lr=0.000100 Epoch[092] Batch [3149]/[3760] Speed: 34.600140 samples/sec accuracy=82.595238 loss=0.697219 lr=0.000100 Epoch[092] Batch [3199]/[3760] Speed: 35.140066 samples/sec accuracy=82.588379 loss=0.697614 lr=0.000100 Epoch[092] Batch [3249]/[3760] Speed: 34.651192 samples/sec accuracy=82.594231 loss=0.697153 lr=0.000100 Epoch[092] Batch [3299]/[3760] Speed: 34.992045 samples/sec accuracy=82.589489 loss=0.697412 lr=0.000100 Epoch[092] Batch [3349]/[3760] Speed: 34.912218 samples/sec accuracy=82.589086 loss=0.697365 lr=0.000100 Epoch[092] Batch [3399]/[3760] Speed: 34.861137 samples/sec accuracy=82.594669 loss=0.696741 lr=0.000100 Epoch[092] Batch [3449]/[3760] Speed: 35.090035 samples/sec accuracy=82.588768 loss=0.697058 lr=0.000100 Epoch[092] Batch [3499]/[3760] Speed: 34.469531 samples/sec accuracy=82.579464 loss=0.697133 lr=0.000100 Epoch[092] Batch [3549]/[3760] Speed: 35.174926 samples/sec accuracy=82.589789 loss=0.696990 lr=0.000100 Epoch[092] Batch [3599]/[3760] Speed: 34.299292 samples/sec accuracy=82.592448 loss=0.696754 lr=0.000100 Epoch[092] Batch [3649]/[3760] Speed: 35.057314 samples/sec accuracy=82.583048 loss=0.696922 lr=0.000100 Epoch[092] Batch [3699]/[3760] Speed: 34.341154 samples/sec accuracy=82.581081 loss=0.696895 lr=0.000100 Epoch[092] Batch [3749]/[3760] Speed: 36.136684 samples/sec accuracy=82.583333 loss=0.697014 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.031250 acc-top5=86.437500 Batch [0099]/[0303]: acc-top1=66.562500 acc-top5=85.562500 Batch [0149]/[0303]: acc-top1=66.989583 acc-top5=85.635417 Batch [0199]/[0303]: acc-top1=66.742188 acc-top5=85.656250 Batch [0249]/[0303]: acc-top1=66.562500 acc-top5=85.512500 Batch [0299]/[0303]: acc-top1=66.473958 acc-top5=85.515625 [Epoch 092] training: accuracy=82.592670 loss=0.696754 [Epoch 092] speed: 34 samples/sec time cost: 7336.764330 [Epoch 092] validation: acc-top1=66.465553 acc-top5=85.519802 loss=1.632878 Epoch[093] Batch [0049]/[3759] Speed: 25.356503 samples/sec accuracy=82.718750 loss=0.702983 lr=0.000100 Epoch[093] Batch [0099]/[3759] Speed: 35.079204 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lr=0.000100 Epoch[093] Batch [0599]/[3759] Speed: 35.265652 samples/sec accuracy=82.617188 loss=0.692223 lr=0.000100 Epoch[093] Batch [0649]/[3759] Speed: 34.734425 samples/sec accuracy=82.622596 loss=0.692978 lr=0.000100 Epoch[093] Batch [0699]/[3759] Speed: 35.343187 samples/sec accuracy=82.680804 loss=0.690319 lr=0.000100 Epoch[093] Batch [0749]/[3759] Speed: 34.808927 samples/sec accuracy=82.818750 loss=0.686535 lr=0.000100 Epoch[093] Batch [0799]/[3759] Speed: 35.213522 samples/sec accuracy=82.794922 loss=0.686188 lr=0.000100 Epoch[093] Batch [0849]/[3759] Speed: 35.217284 samples/sec accuracy=82.836397 loss=0.684169 lr=0.000100 Epoch[093] Batch [0899]/[3759] Speed: 35.124888 samples/sec accuracy=82.781250 loss=0.686235 lr=0.000100 Epoch[093] Batch [0949]/[3759] Speed: 35.163241 samples/sec accuracy=82.774671 loss=0.687447 lr=0.000100 Epoch[093] Batch [0999]/[3759] Speed: 35.430565 samples/sec accuracy=82.804688 loss=0.686852 lr=0.000100 Epoch[093] Batch [1049]/[3759] Speed: 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lr=0.000100 Epoch[093] Batch [1549]/[3759] Speed: 35.096788 samples/sec accuracy=82.892137 loss=0.686388 lr=0.000100 Epoch[093] Batch [1599]/[3759] Speed: 35.157123 samples/sec accuracy=82.907227 loss=0.685428 lr=0.000100 Epoch[093] Batch [1649]/[3759] Speed: 35.393609 samples/sec accuracy=82.900568 loss=0.685087 lr=0.000100 Epoch[093] Batch [1699]/[3759] Speed: 35.227997 samples/sec accuracy=82.890625 loss=0.685890 lr=0.000100 Epoch[093] Batch [1749]/[3759] Speed: 35.359881 samples/sec accuracy=82.882143 loss=0.685579 lr=0.000100 Epoch[093] Batch [1799]/[3759] Speed: 34.961797 samples/sec accuracy=82.908854 loss=0.685107 lr=0.000100 Epoch[093] Batch [1849]/[3759] Speed: 35.340844 samples/sec accuracy=82.934122 loss=0.684601 lr=0.000100 Epoch[093] Batch [1899]/[3759] Speed: 34.945289 samples/sec accuracy=82.919408 loss=0.684522 lr=0.000100 Epoch[093] Batch [1949]/[3759] Speed: 35.459142 samples/sec accuracy=82.935897 loss=0.683698 lr=0.000100 Epoch[093] Batch [1999]/[3759] Speed: 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lr=0.000100 Epoch[093] Batch [2499]/[3759] Speed: 35.280790 samples/sec accuracy=82.870625 loss=0.686011 lr=0.000100 Epoch[093] Batch [2549]/[3759] Speed: 35.157153 samples/sec accuracy=82.866422 loss=0.685856 lr=0.000100 Epoch[093] Batch [2599]/[3759] Speed: 35.415316 samples/sec accuracy=82.866587 loss=0.686219 lr=0.000100 Epoch[093] Batch [2649]/[3759] Speed: 35.266308 samples/sec accuracy=82.871462 loss=0.685830 lr=0.000100 Epoch[093] Batch [2699]/[3759] Speed: 35.267667 samples/sec accuracy=82.839699 loss=0.686686 lr=0.000100 Epoch[093] Batch [2749]/[3759] Speed: 35.393608 samples/sec accuracy=82.835227 loss=0.687082 lr=0.000100 Epoch[093] Batch [2799]/[3759] Speed: 35.198364 samples/sec accuracy=82.825893 loss=0.687298 lr=0.000100 Epoch[093] Batch [2849]/[3759] Speed: 35.386927 samples/sec accuracy=82.817982 loss=0.687532 lr=0.000100 Epoch[093] Batch [2899]/[3759] Speed: 35.248912 samples/sec accuracy=82.825970 loss=0.687274 lr=0.000100 Epoch[093] Batch [2949]/[3759] Speed: 35.057663 samples/sec accuracy=82.805085 loss=0.687824 lr=0.000100 Epoch[093] Batch [2999]/[3759] Speed: 35.309279 samples/sec accuracy=82.831771 loss=0.687360 lr=0.000100 Epoch[093] Batch [3049]/[3759] Speed: 35.077095 samples/sec accuracy=82.818648 loss=0.687605 lr=0.000100 Epoch[093] Batch [3099]/[3759] Speed: 35.306414 samples/sec accuracy=82.829133 loss=0.686854 lr=0.000100 Epoch[093] Batch [3149]/[3759] Speed: 35.028731 samples/sec accuracy=82.815972 loss=0.687677 lr=0.000100 Epoch[093] Batch [3199]/[3759] Speed: 35.407043 samples/sec accuracy=82.829102 loss=0.687408 lr=0.000100 Epoch[093] Batch [3249]/[3759] Speed: 34.996884 samples/sec accuracy=82.830288 loss=0.687636 lr=0.000100 Epoch[093] Batch [3299]/[3759] Speed: 35.462293 samples/sec accuracy=82.808712 loss=0.687928 lr=0.000100 Epoch[093] Batch [3349]/[3759] Speed: 34.939963 samples/sec accuracy=82.811567 loss=0.687750 lr=0.000100 Epoch[093] Batch [3399]/[3759] Speed: 35.445154 samples/sec accuracy=82.800092 loss=0.688119 lr=0.000100 Epoch[093] Batch [3449]/[3759] Speed: 34.887257 samples/sec accuracy=82.805254 loss=0.688083 lr=0.000100 Epoch[093] Batch [3499]/[3759] Speed: 35.405385 samples/sec accuracy=82.807143 loss=0.687930 lr=0.000100 Epoch[093] Batch [3549]/[3759] Speed: 35.115339 samples/sec accuracy=82.798856 loss=0.688071 lr=0.000100 Epoch[093] Batch [3599]/[3759] Speed: 35.449419 samples/sec accuracy=82.790799 loss=0.688379 lr=0.000100 Epoch[093] Batch [3649]/[3759] Speed: 35.035575 samples/sec accuracy=82.778682 loss=0.688801 lr=0.000100 Epoch[093] Batch [3699]/[3759] Speed: 35.379087 samples/sec accuracy=82.775760 loss=0.688763 lr=0.000100 Epoch[093] Batch [3749]/[3759] Speed: 36.343633 samples/sec accuracy=82.782500 loss=0.688427 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.250000 acc-top5=86.093750 Batch [0099]/[0303]: acc-top1=66.734375 acc-top5=85.359375 Batch [0149]/[0303]: acc-top1=67.218750 acc-top5=85.572917 Batch [0199]/[0303]: acc-top1=66.812500 acc-top5=85.648438 Batch [0249]/[0303]: acc-top1=66.556250 acc-top5=85.531250 Batch [0299]/[0303]: acc-top1=66.432292 acc-top5=85.505208 [Epoch 093] training: accuracy=82.779662 loss=0.688496 [Epoch 093] speed: 35 samples/sec time cost: 7321.284561 [Epoch 093] validation: acc-top1=66.434612 acc-top5=85.514645 loss=1.626500 Epoch[094] Batch [0049]/[3760] Speed: 25.074986 samples/sec accuracy=83.281250 loss=0.658579 lr=0.000100 Epoch[094] Batch [0099]/[3760] Speed: 35.292253 samples/sec accuracy=83.093750 loss=0.663729 lr=0.000100 Epoch[094] Batch [0149]/[3760] Speed: 35.376777 samples/sec accuracy=82.906250 loss=0.667539 lr=0.000100 Epoch[094] Batch [0199]/[3760] Speed: 35.085523 samples/sec accuracy=82.585938 loss=0.689769 lr=0.000100 Epoch[094] Batch [0249]/[3760] Speed: 35.365092 samples/sec accuracy=82.768750 loss=0.681744 lr=0.000100 Epoch[094] Batch [0299]/[3760] Speed: 34.854100 samples/sec accuracy=82.645833 loss=0.689189 lr=0.000100 Epoch[094] Batch [0349]/[3760] Speed: 35.322762 samples/sec accuracy=82.464286 loss=0.695155 lr=0.000100 Epoch[094] Batch [0399]/[3760] Speed: 35.102232 samples/sec accuracy=82.585938 loss=0.690334 lr=0.000100 Epoch[094] Batch [0449]/[3760] Speed: 35.036393 samples/sec accuracy=82.725694 loss=0.685447 lr=0.000100 Epoch[094] Batch [0499]/[3760] Speed: 35.171362 samples/sec accuracy=82.700000 loss=0.686728 lr=0.000100 Epoch[094] Batch [0549]/[3760] Speed: 35.132389 samples/sec accuracy=82.769886 loss=0.687129 lr=0.000100 Epoch[094] Batch [0599]/[3760] Speed: 35.197696 samples/sec accuracy=82.768229 loss=0.687257 lr=0.000100 Epoch[094] Batch [0649]/[3760] Speed: 34.955077 samples/sec accuracy=82.750000 loss=0.687183 lr=0.000100 Epoch[094] Batch [0699]/[3760] Speed: 35.441322 samples/sec accuracy=82.808036 loss=0.684380 lr=0.000100 Epoch[094] Batch [0749]/[3760] Speed: 34.963724 samples/sec accuracy=82.768750 loss=0.685870 lr=0.000100 Epoch[094] Batch [0799]/[3760] Speed: 35.495406 samples/sec accuracy=82.746094 loss=0.686960 lr=0.000100 Epoch[094] 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accuracy=82.736779 loss=0.686192 lr=0.000100 Epoch[094] Batch [1349]/[3760] Speed: 35.086488 samples/sec accuracy=82.734954 loss=0.686053 lr=0.000100 Epoch[094] Batch [1399]/[3760] Speed: 34.922098 samples/sec accuracy=82.707589 loss=0.687145 lr=0.000100 Epoch[094] Batch [1449]/[3760] Speed: 35.227070 samples/sec accuracy=82.701509 loss=0.688843 lr=0.000100 Epoch[094] Batch [1499]/[3760] Speed: 34.822307 samples/sec accuracy=82.694792 loss=0.688767 lr=0.000100 Epoch[094] Batch [1549]/[3760] Speed: 35.397837 samples/sec accuracy=82.711694 loss=0.688489 lr=0.000100 Epoch[094] Batch [1599]/[3760] Speed: 34.924312 samples/sec accuracy=82.731445 loss=0.687479 lr=0.000100 Epoch[094] Batch [1649]/[3760] Speed: 35.363629 samples/sec accuracy=82.746212 loss=0.687326 lr=0.000100 Epoch[094] Batch [1699]/[3760] Speed: 34.997788 samples/sec accuracy=82.729779 loss=0.688199 lr=0.000100 Epoch[094] Batch [1749]/[3760] Speed: 35.476398 samples/sec accuracy=82.699107 loss=0.689169 lr=0.000100 Epoch[094] 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accuracy=82.709722 loss=0.689816 lr=0.000100 Epoch[094] Batch [2299]/[3760] Speed: 35.350956 samples/sec accuracy=82.694293 loss=0.690679 lr=0.000100 Epoch[094] Batch [2349]/[3760] Speed: 34.840793 samples/sec accuracy=82.678856 loss=0.691396 lr=0.000100 Epoch[094] Batch [2399]/[3760] Speed: 35.324855 samples/sec accuracy=82.661458 loss=0.691807 lr=0.000100 Epoch[094] Batch [2449]/[3760] Speed: 35.013224 samples/sec accuracy=82.667730 loss=0.691836 lr=0.000100 Epoch[094] Batch [2499]/[3760] Speed: 35.343520 samples/sec accuracy=82.657500 loss=0.692139 lr=0.000100 Epoch[094] Batch [2549]/[3760] Speed: 35.096603 samples/sec accuracy=82.656250 loss=0.692317 lr=0.000100 Epoch[094] Batch [2599]/[3760] Speed: 35.203719 samples/sec accuracy=82.665865 loss=0.692229 lr=0.000100 Epoch[094] Batch [2649]/[3760] Speed: 34.981903 samples/sec accuracy=82.662736 loss=0.692439 lr=0.000100 Epoch[094] Batch [2699]/[3760] Speed: 35.210512 samples/sec accuracy=82.675347 loss=0.692606 lr=0.000100 Epoch[094] Batch [2749]/[3760] Speed: 35.208291 samples/sec accuracy=82.671023 loss=0.692818 lr=0.000100 Epoch[094] Batch [2799]/[3760] Speed: 35.094325 samples/sec accuracy=82.675781 loss=0.692997 lr=0.000100 Epoch[094] Batch [2849]/[3760] Speed: 35.348291 samples/sec accuracy=82.685855 loss=0.692923 lr=0.000100 Epoch[094] Batch [2899]/[3760] Speed: 35.184222 samples/sec accuracy=82.678879 loss=0.693062 lr=0.000100 Epoch[094] Batch [2949]/[3760] Speed: 35.318634 samples/sec accuracy=82.689089 loss=0.692715 lr=0.000100 Epoch[094] Batch [2999]/[3760] Speed: 35.239145 samples/sec accuracy=82.690104 loss=0.692306 lr=0.000100 Epoch[094] Batch [3049]/[3760] Speed: 35.321638 samples/sec accuracy=82.691086 loss=0.692443 lr=0.000100 Epoch[094] Batch [3099]/[3760] Speed: 35.283740 samples/sec accuracy=82.681956 loss=0.692606 lr=0.000100 Epoch[094] Batch [3149]/[3760] Speed: 35.525256 samples/sec accuracy=82.688988 loss=0.692280 lr=0.000100 Epoch[094] Batch [3199]/[3760] Speed: 35.191857 samples/sec accuracy=82.691895 loss=0.692295 lr=0.000100 Epoch[094] Batch [3249]/[3760] Speed: 35.438929 samples/sec accuracy=82.702404 loss=0.691771 lr=0.000100 Epoch[094] Batch [3299]/[3760] Speed: 35.185014 samples/sec accuracy=82.681818 loss=0.692607 lr=0.000100 Epoch[094] Batch [3349]/[3760] Speed: 35.411378 samples/sec accuracy=82.684701 loss=0.692741 lr=0.000100 Epoch[094] Batch [3399]/[3760] Speed: 35.178802 samples/sec accuracy=82.675551 loss=0.693030 lr=0.000100 Epoch[094] Batch [3449]/[3760] Speed: 35.258952 samples/sec accuracy=82.677536 loss=0.692715 lr=0.000100 Epoch[094] Batch [3499]/[3760] Speed: 35.161664 samples/sec accuracy=82.670089 loss=0.692791 lr=0.000100 Epoch[094] Batch [3549]/[3760] Speed: 35.189718 samples/sec accuracy=82.669014 loss=0.692679 lr=0.000100 Epoch[094] Batch [3599]/[3760] Speed: 35.370816 samples/sec accuracy=82.677517 loss=0.692566 lr=0.000100 Epoch[094] Batch [3649]/[3760] Speed: 35.270115 samples/sec accuracy=82.657106 loss=0.693384 lr=0.000100 Epoch[094] Batch [3699]/[3760] Speed: 35.479196 samples/sec accuracy=82.652027 loss=0.693551 lr=0.000100 Epoch[094] Batch [3749]/[3760] Speed: 36.405723 samples/sec accuracy=82.663750 loss=0.693288 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.031250 acc-top5=86.125000 Batch [0099]/[0303]: acc-top1=66.656250 acc-top5=85.343750 Batch [0149]/[0303]: acc-top1=67.104167 acc-top5=85.583333 Batch [0199]/[0303]: acc-top1=66.726562 acc-top5=85.664062 Batch [0249]/[0303]: acc-top1=66.450000 acc-top5=85.568750 Batch [0299]/[0303]: acc-top1=66.291667 acc-top5=85.630208 [Epoch 094] training: accuracy=82.661237 loss=0.693394 [Epoch 094] speed: 35 samples/sec time cost: 7317.363612 [Epoch 094] validation: acc-top1=66.300536 acc-top5=85.643564 loss=1.635985 Epoch[095] Batch [0049]/[3760] Speed: 25.344295 samples/sec accuracy=83.437500 loss=0.646433 lr=0.000100 Epoch[095] Batch [0099]/[3760] Speed: 35.132710 samples/sec accuracy=83.515625 loss=0.648671 lr=0.000100 Epoch[095] Batch [0149]/[3760] Speed: 35.441348 samples/sec accuracy=82.989583 loss=0.666010 lr=0.000100 Epoch[095] Batch [0199]/[3760] Speed: 35.192708 samples/sec accuracy=83.125000 loss=0.662381 lr=0.000100 Epoch[095] Batch [0249]/[3760] Speed: 35.538344 samples/sec accuracy=82.987500 loss=0.669864 lr=0.000100 Epoch[095] Batch [0299]/[3760] Speed: 35.048769 samples/sec accuracy=83.015625 loss=0.671428 lr=0.000100 Epoch[095] Batch [0349]/[3760] Speed: 35.416019 samples/sec accuracy=83.120536 loss=0.668196 lr=0.000100 Epoch[095] Batch [0399]/[3760] Speed: 35.206529 samples/sec accuracy=83.101562 loss=0.670810 lr=0.000100 Epoch[095] Batch [0449]/[3760] Speed: 35.406809 samples/sec accuracy=83.104167 loss=0.670940 lr=0.000100 Epoch[095] Batch [0499]/[3760] Speed: 35.521555 samples/sec accuracy=82.971875 loss=0.678579 lr=0.000100 Epoch[095] Batch [0549]/[3760] Speed: 35.273964 samples/sec accuracy=82.951705 loss=0.679878 lr=0.000100 Epoch[095] Batch [0599]/[3760] Speed: 35.329221 samples/sec accuracy=82.908854 loss=0.680806 lr=0.000100 Epoch[095] Batch [0649]/[3760] Speed: 35.372641 samples/sec accuracy=82.884615 loss=0.682093 lr=0.000100 Epoch[095] Batch [0699]/[3760] Speed: 35.430231 samples/sec accuracy=82.908482 loss=0.681313 lr=0.000100 Epoch[095] Batch [0749]/[3760] Speed: 35.308979 samples/sec accuracy=82.812500 loss=0.684370 lr=0.000100 Epoch[095] Batch [0799]/[3760] Speed: 35.319079 samples/sec accuracy=82.808594 loss=0.686154 lr=0.000100 Epoch[095] Batch [0849]/[3760] Speed: 35.389545 samples/sec accuracy=82.836397 loss=0.685176 lr=0.000100 Epoch[095] Batch [0899]/[3760] Speed: 35.480898 samples/sec accuracy=82.789931 loss=0.687051 lr=0.000100 Epoch[095] Batch [0949]/[3760] Speed: 35.464021 samples/sec accuracy=82.810855 loss=0.687238 lr=0.000100 Epoch[095] Batch [0999]/[3760] Speed: 35.173362 samples/sec accuracy=82.848438 loss=0.685307 lr=0.000100 Epoch[095] Batch [1049]/[3760] Speed: 35.197083 samples/sec accuracy=82.891369 loss=0.684435 lr=0.000100 Epoch[095] Batch [1099]/[3760] Speed: 35.204632 samples/sec accuracy=82.869318 loss=0.685917 lr=0.000100 Epoch[095] Batch [1149]/[3760] Speed: 35.172789 samples/sec accuracy=82.883152 loss=0.685420 lr=0.000100 Epoch[095] Batch [1199]/[3760] Speed: 35.155187 samples/sec accuracy=82.864583 loss=0.685340 lr=0.000100 Epoch[095] Batch [1249]/[3760] Speed: 35.002724 samples/sec accuracy=82.841250 loss=0.685505 lr=0.000100 Epoch[095] Batch [1299]/[3760] Speed: 35.402298 samples/sec accuracy=82.799279 loss=0.687417 lr=0.000100 Epoch[095] Batch [1349]/[3760] Speed: 35.037317 samples/sec accuracy=82.767361 loss=0.688780 lr=0.000100 Epoch[095] Batch [1399]/[3760] Speed: 35.532773 samples/sec accuracy=82.794643 loss=0.687485 lr=0.000100 Epoch[095] Batch [1449]/[3760] Speed: 35.083564 samples/sec accuracy=82.775862 loss=0.688315 lr=0.000100 Epoch[095] Batch [1499]/[3760] Speed: 35.381471 samples/sec accuracy=82.800000 loss=0.687651 lr=0.000100 Epoch[095] Batch [1549]/[3760] Speed: 35.239882 samples/sec accuracy=82.806452 loss=0.686688 lr=0.000100 Epoch[095] Batch [1599]/[3760] Speed: 35.293595 samples/sec accuracy=82.825195 loss=0.685978 lr=0.000100 Epoch[095] Batch [1649]/[3760] Speed: 35.061225 samples/sec accuracy=82.791667 loss=0.686695 lr=0.000100 Epoch[095] Batch [1699]/[3760] Speed: 35.346732 samples/sec accuracy=82.777574 loss=0.686022 lr=0.000100 Epoch[095] Batch [1749]/[3760] Speed: 35.411440 samples/sec accuracy=82.707143 loss=0.688734 lr=0.000100 Epoch[095] Batch [1799]/[3760] Speed: 35.227982 samples/sec accuracy=82.722222 loss=0.687918 lr=0.000100 Epoch[095] Batch [1849]/[3760] Speed: 35.280843 samples/sec accuracy=82.755068 loss=0.687195 lr=0.000100 Epoch[095] Batch [1899]/[3760] Speed: 35.318341 samples/sec accuracy=82.775493 loss=0.686453 lr=0.000100 Epoch[095] Batch [1949]/[3760] Speed: 35.406170 samples/sec accuracy=82.762821 loss=0.686641 lr=0.000100 Epoch[095] Batch [1999]/[3760] Speed: 35.107043 samples/sec accuracy=82.773438 loss=0.686199 lr=0.000100 Epoch[095] Batch [2049]/[3760] Speed: 35.436706 samples/sec accuracy=82.748476 loss=0.687532 lr=0.000100 Epoch[095] Batch [2099]/[3760] Speed: 35.167258 samples/sec accuracy=82.770089 loss=0.686711 lr=0.000100 Epoch[095] Batch [2149]/[3760] Speed: 35.593337 samples/sec accuracy=82.759448 loss=0.686520 lr=0.000100 Epoch[095] Batch [2199]/[3760] Speed: 35.120024 samples/sec accuracy=82.756392 loss=0.686602 lr=0.000100 Epoch[095] Batch [2249]/[3760] Speed: 35.481336 samples/sec accuracy=82.772917 loss=0.686088 lr=0.000100 Epoch[095] Batch [2299]/[3760] Speed: 35.237434 samples/sec accuracy=82.751359 loss=0.687096 lr=0.000100 Epoch[095] Batch [2349]/[3760] Speed: 35.395592 samples/sec accuracy=82.742686 loss=0.687802 lr=0.000100 Epoch[095] Batch [2399]/[3760] Speed: 35.024286 samples/sec accuracy=82.759766 loss=0.687457 lr=0.000100 Epoch[095] Batch [2449]/[3760] Speed: 35.485761 samples/sec accuracy=82.774235 loss=0.686812 lr=0.000100 Epoch[095] Batch [2499]/[3760] Speed: 35.176159 samples/sec accuracy=82.792500 loss=0.686540 lr=0.000100 Epoch[095] Batch [2549]/[3760] Speed: 35.303818 samples/sec accuracy=82.783701 loss=0.687003 lr=0.000100 Epoch[095] Batch [2599]/[3760] Speed: 34.744278 samples/sec accuracy=82.789663 loss=0.687385 lr=0.000100 Epoch[095] Batch [2649]/[3760] Speed: 35.374313 samples/sec accuracy=82.772995 loss=0.688273 lr=0.000100 Epoch[095] Batch [2699]/[3760] Speed: 34.981851 samples/sec accuracy=82.789931 loss=0.687394 lr=0.000100 Epoch[095] Batch [2749]/[3760] Speed: 35.350537 samples/sec accuracy=82.764773 loss=0.688001 lr=0.000100 Epoch[095] Batch [2799]/[3760] Speed: 34.845871 samples/sec accuracy=82.760603 loss=0.688271 lr=0.000100 Epoch[095] Batch [2849]/[3760] Speed: 35.251597 samples/sec accuracy=82.761513 loss=0.688253 lr=0.000100 Epoch[095] Batch [2899]/[3760] Speed: 35.059081 samples/sec accuracy=82.768319 loss=0.688117 lr=0.000100 Epoch[095] Batch [2949]/[3760] Speed: 34.931920 samples/sec accuracy=82.764831 loss=0.688047 lr=0.000100 Epoch[095] Batch [2999]/[3760] Speed: 35.260454 samples/sec accuracy=82.739583 loss=0.688732 lr=0.000100 Epoch[095] Batch [3049]/[3760] Speed: 34.774634 samples/sec accuracy=82.773053 loss=0.687924 lr=0.000100 Epoch[095] Batch [3099]/[3760] Speed: 35.242837 samples/sec accuracy=82.773185 loss=0.688208 lr=0.000100 Epoch[095] Batch [3149]/[3760] Speed: 34.837564 samples/sec accuracy=82.776290 loss=0.687786 lr=0.000100 Epoch[095] Batch [3199]/[3760] Speed: 35.386501 samples/sec accuracy=82.771484 loss=0.688126 lr=0.000100 Epoch[095] Batch [3249]/[3760] Speed: 34.801819 samples/sec accuracy=82.764423 loss=0.688132 lr=0.000100 Epoch[095] Batch [3299]/[3760] Speed: 35.352614 samples/sec accuracy=82.762784 loss=0.687924 lr=0.000100 Epoch[095] Batch [3349]/[3760] Speed: 35.070844 samples/sec accuracy=82.770056 loss=0.688066 lr=0.000100 Epoch[095] Batch [3399]/[3760] Speed: 35.341985 samples/sec accuracy=82.776654 loss=0.687967 lr=0.000100 Epoch[095] Batch [3449]/[3760] Speed: 35.213638 samples/sec accuracy=82.786232 loss=0.688058 lr=0.000100 Epoch[095] Batch [3499]/[3760] Speed: 34.914053 samples/sec accuracy=82.783929 loss=0.688272 lr=0.000100 Epoch[095] Batch [3549]/[3760] Speed: 35.427953 samples/sec accuracy=82.790493 loss=0.688191 lr=0.000100 Epoch[095] Batch [3599]/[3760] Speed: 35.180633 samples/sec accuracy=82.803819 loss=0.687995 lr=0.000100 Epoch[095] Batch [3649]/[3760] Speed: 35.428689 samples/sec accuracy=82.811644 loss=0.687710 lr=0.000100 Epoch[095] Batch [3699]/[3760] Speed: 35.084259 samples/sec accuracy=82.797297 loss=0.688188 lr=0.000100 Epoch[095] Batch [3749]/[3760] Speed: 36.440299 samples/sec accuracy=82.783750 loss=0.688591 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.406250 acc-top5=86.093750 Batch [0099]/[0303]: acc-top1=66.640625 acc-top5=85.281250 Batch [0149]/[0303]: acc-top1=67.104167 acc-top5=85.593750 Batch [0199]/[0303]: acc-top1=66.703125 acc-top5=85.601562 Batch [0249]/[0303]: acc-top1=66.406250 acc-top5=85.556250 Batch [0299]/[0303]: acc-top1=66.244792 acc-top5=85.598958 [Epoch 095] training: accuracy=82.780918 loss=0.688558 [Epoch 095] speed: 35 samples/sec time cost: 7313.681340 [Epoch 095] validation: acc-top1=66.243812 acc-top5=85.617781 loss=1.632296 Epoch[096] Batch [0049]/[3759] Speed: 24.986747 samples/sec accuracy=82.593750 loss=0.710596 lr=0.000100 Epoch[096] Batch [0099]/[3759] Speed: 35.536751 samples/sec accuracy=82.593750 loss=0.694401 lr=0.000100 Epoch[096] Batch [0149]/[3759] Speed: 35.197810 samples/sec accuracy=82.927083 loss=0.688573 lr=0.000100 Epoch[096] Batch [0199]/[3759] Speed: 35.344639 samples/sec accuracy=82.828125 loss=0.689373 lr=0.000100 Epoch[096] Batch [0249]/[3759] Speed: 35.296402 samples/sec accuracy=82.918750 loss=0.683942 lr=0.000100 Epoch[096] Batch [0299]/[3759] Speed: 35.357762 samples/sec accuracy=82.911458 loss=0.684063 lr=0.000100 Epoch[096] Batch [0349]/[3759] Speed: 35.040236 samples/sec accuracy=82.754464 loss=0.686104 lr=0.000100 Epoch[096] Batch [0399]/[3759] Speed: 35.198864 samples/sec accuracy=82.773438 loss=0.689951 lr=0.000100 Epoch[096] Batch [0449]/[3759] Speed: 34.999666 samples/sec accuracy=82.715278 loss=0.691449 lr=0.000100 Epoch[096] Batch [0499]/[3759] Speed: 35.240583 samples/sec accuracy=82.840625 loss=0.688376 lr=0.000100 Epoch[096] Batch [0549]/[3759] Speed: 34.982594 samples/sec accuracy=82.835227 loss=0.688185 lr=0.000100 Epoch[096] Batch [0599]/[3759] Speed: 35.181344 samples/sec accuracy=82.791667 loss=0.687922 lr=0.000100 Epoch[096] Batch [0649]/[3759] Speed: 35.220741 samples/sec accuracy=82.915865 loss=0.685334 lr=0.000100 Epoch[096] Batch [0699]/[3759] Speed: 34.928591 samples/sec accuracy=82.928571 loss=0.685733 lr=0.000100 Epoch[096] Batch [0749]/[3759] Speed: 35.311331 samples/sec accuracy=82.850000 loss=0.687343 lr=0.000100 Epoch[096] Batch [0799]/[3759] Speed: 35.017434 samples/sec accuracy=82.833984 loss=0.685021 lr=0.000100 Epoch[096] Batch [0849]/[3759] Speed: 35.374025 samples/sec accuracy=82.806985 loss=0.685109 lr=0.000100 Epoch[096] 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accuracy=82.771991 loss=0.688372 lr=0.000100 Epoch[096] Batch [1399]/[3759] Speed: 35.062669 samples/sec accuracy=82.755580 loss=0.688645 lr=0.000100 Epoch[096] Batch [1449]/[3759] Speed: 35.153504 samples/sec accuracy=82.750000 loss=0.689179 lr=0.000100 Epoch[096] Batch [1499]/[3759] Speed: 35.025739 samples/sec accuracy=82.736458 loss=0.689916 lr=0.000100 Epoch[096] Batch [1549]/[3759] Speed: 34.967805 samples/sec accuracy=82.764113 loss=0.689498 lr=0.000100 Epoch[096] Batch [1599]/[3759] Speed: 35.370103 samples/sec accuracy=82.791016 loss=0.688926 lr=0.000100 Epoch[096] Batch [1649]/[3759] Speed: 34.837488 samples/sec accuracy=82.789773 loss=0.688745 lr=0.000100 Epoch[096] Batch [1699]/[3759] Speed: 35.305589 samples/sec accuracy=82.789522 loss=0.688519 lr=0.000100 Epoch[096] Batch [1749]/[3759] Speed: 34.692122 samples/sec accuracy=82.808036 loss=0.687874 lr=0.000100 Epoch[096] Batch [1799]/[3759] Speed: 35.173721 samples/sec accuracy=82.812500 loss=0.687586 lr=0.000100 Epoch[096] 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accuracy=82.793478 loss=0.687129 lr=0.000100 Epoch[096] Batch [2349]/[3759] Speed: 35.390281 samples/sec accuracy=82.786569 loss=0.687461 lr=0.000100 Epoch[096] Batch [2399]/[3759] Speed: 35.401576 samples/sec accuracy=82.803385 loss=0.687195 lr=0.000100 Epoch[096] Batch [2449]/[3759] Speed: 35.333963 samples/sec accuracy=82.781888 loss=0.687572 lr=0.000100 Epoch[096] Batch [2499]/[3759] Speed: 35.082042 samples/sec accuracy=82.786250 loss=0.687253 lr=0.000100 Epoch[096] Batch [2549]/[3759] Speed: 35.106525 samples/sec accuracy=82.797181 loss=0.686646 lr=0.000100 Epoch[096] Batch [2599]/[3759] Speed: 35.318123 samples/sec accuracy=82.796875 loss=0.686595 lr=0.000100 Epoch[096] Batch [2649]/[3759] Speed: 35.085240 samples/sec accuracy=82.797759 loss=0.686784 lr=0.000100 Epoch[096] Batch [2699]/[3759] Speed: 35.319412 samples/sec accuracy=82.792245 loss=0.686904 lr=0.000100 Epoch[096] Batch [2749]/[3759] Speed: 35.169281 samples/sec accuracy=82.781818 loss=0.687032 lr=0.000100 Epoch[096] Batch [2799]/[3759] Speed: 35.194016 samples/sec accuracy=82.786830 loss=0.687068 lr=0.000100 Epoch[096] Batch [2849]/[3759] Speed: 35.393566 samples/sec accuracy=82.805921 loss=0.686346 lr=0.000100 Epoch[096] Batch [2899]/[3759] Speed: 35.195108 samples/sec accuracy=82.790409 loss=0.686724 lr=0.000100 Epoch[096] Batch [2949]/[3759] Speed: 35.140392 samples/sec accuracy=82.796610 loss=0.686671 lr=0.000100 Epoch[096] Batch [2999]/[3759] Speed: 35.183509 samples/sec accuracy=82.798958 loss=0.686664 lr=0.000100 Epoch[096] Batch [3049]/[3759] Speed: 35.143728 samples/sec accuracy=82.803791 loss=0.686667 lr=0.000100 Epoch[096] Batch [3099]/[3759] Speed: 35.067734 samples/sec accuracy=82.806452 loss=0.686561 lr=0.000100 Epoch[096] Batch [3149]/[3759] Speed: 35.099997 samples/sec accuracy=82.807540 loss=0.686875 lr=0.000100 Epoch[096] Batch [3199]/[3759] Speed: 35.437929 samples/sec accuracy=82.803711 loss=0.686810 lr=0.000100 Epoch[096] Batch [3249]/[3759] Speed: 34.910221 samples/sec accuracy=82.821635 loss=0.686531 lr=0.000100 Epoch[096] Batch [3299]/[3759] Speed: 35.469250 samples/sec accuracy=82.839015 loss=0.685871 lr=0.000100 Epoch[096] Batch [3349]/[3759] Speed: 35.307782 samples/sec accuracy=82.812034 loss=0.686545 lr=0.000100 Epoch[096] Batch [3399]/[3759] Speed: 35.304428 samples/sec accuracy=82.811581 loss=0.686867 lr=0.000100 Epoch[096] Batch [3449]/[3759] Speed: 35.429881 samples/sec accuracy=82.827899 loss=0.686579 lr=0.000100 Epoch[096] Batch [3499]/[3759] Speed: 35.240042 samples/sec accuracy=82.840179 loss=0.686337 lr=0.000100 Epoch[096] Batch [3549]/[3759] Speed: 35.284607 samples/sec accuracy=82.843750 loss=0.686248 lr=0.000100 Epoch[096] Batch [3599]/[3759] Speed: 35.202659 samples/sec accuracy=82.845920 loss=0.686137 lr=0.000100 Epoch[096] Batch [3649]/[3759] Speed: 35.134592 samples/sec accuracy=82.847175 loss=0.686229 lr=0.000100 Epoch[096] Batch [3699]/[3759] Speed: 35.143528 samples/sec accuracy=82.847973 loss=0.685915 lr=0.000100 Epoch[096] Batch [3749]/[3759] Speed: 36.372234 samples/sec accuracy=82.847083 loss=0.685914 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.031250 acc-top5=86.531250 Batch [0099]/[0303]: acc-top1=66.375000 acc-top5=85.578125 Batch [0149]/[0303]: acc-top1=67.000000 acc-top5=85.645833 Batch [0199]/[0303]: acc-top1=66.718750 acc-top5=85.601562 Batch [0249]/[0303]: acc-top1=66.531250 acc-top5=85.556250 Batch [0299]/[0303]: acc-top1=66.432292 acc-top5=85.531250 [Epoch 096] training: accuracy=82.841597 loss=0.685997 [Epoch 096] speed: 34 samples/sec time cost: 7325.845905 [Epoch 096] validation: acc-top1=66.424299 acc-top5=85.545586 loss=1.639184 Epoch[097] Batch [0049]/[3760] Speed: 25.472834 samples/sec accuracy=82.937500 loss=0.659798 lr=0.000100 Epoch[097] Batch [0099]/[3760] Speed: 35.095436 samples/sec accuracy=83.062500 loss=0.664250 lr=0.000100 Epoch[097] Batch [0149]/[3760] Speed: 35.374104 samples/sec accuracy=82.968750 loss=0.675044 lr=0.000100 Epoch[097] Batch [0199]/[3760] Speed: 34.877947 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lr=0.000100 Epoch[097] Batch [1649]/[3760] Speed: 34.639817 samples/sec accuracy=82.848485 loss=0.687005 lr=0.000100 Epoch[097] Batch [1699]/[3760] Speed: 34.859585 samples/sec accuracy=82.853860 loss=0.686532 lr=0.000100 Epoch[097] Batch [1749]/[3760] Speed: 34.760394 samples/sec accuracy=82.858929 loss=0.686639 lr=0.000100 Epoch[097] Batch [1799]/[3760] Speed: 34.727893 samples/sec accuracy=82.869792 loss=0.686470 lr=0.000100 Epoch[097] Batch [1849]/[3760] Speed: 35.005066 samples/sec accuracy=82.873311 loss=0.685801 lr=0.000100 Epoch[097] Batch [1899]/[3760] Speed: 34.500301 samples/sec accuracy=82.833882 loss=0.686609 lr=0.000100 Epoch[097] Batch [1949]/[3760] Speed: 35.245171 samples/sec accuracy=82.825321 loss=0.687246 lr=0.000100 Epoch[097] Batch [1999]/[3760] Speed: 34.425855 samples/sec accuracy=82.839063 loss=0.686371 lr=0.000100 Epoch[097] Batch [2049]/[3760] Speed: 35.217771 samples/sec accuracy=82.862805 loss=0.685754 lr=0.000100 Epoch[097] Batch [2099]/[3760] Speed: 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lr=0.000100 Epoch[097] Batch [2599]/[3760] Speed: 35.381605 samples/sec accuracy=82.861178 loss=0.687043 lr=0.000100 Epoch[097] Batch [2649]/[3760] Speed: 35.061910 samples/sec accuracy=82.850825 loss=0.687489 lr=0.000100 Epoch[097] Batch [2699]/[3760] Speed: 35.323130 samples/sec accuracy=82.855903 loss=0.687327 lr=0.000100 Epoch[097] Batch [2749]/[3760] Speed: 34.983309 samples/sec accuracy=82.860795 loss=0.687470 lr=0.000100 Epoch[097] Batch [2799]/[3760] Speed: 35.193299 samples/sec accuracy=82.853237 loss=0.687923 lr=0.000100 Epoch[097] Batch [2849]/[3760] Speed: 34.809046 samples/sec accuracy=82.873904 loss=0.687741 lr=0.000100 Epoch[097] Batch [2899]/[3760] Speed: 35.461891 samples/sec accuracy=82.849138 loss=0.688476 lr=0.000100 Epoch[097] Batch [2949]/[3760] Speed: 34.880944 samples/sec accuracy=82.854873 loss=0.688500 lr=0.000100 Epoch[097] Batch [2999]/[3760] Speed: 35.351872 samples/sec accuracy=82.846875 loss=0.688577 lr=0.000100 Epoch[097] Batch [3049]/[3760] Speed: 34.942247 samples/sec accuracy=82.836066 loss=0.689121 lr=0.000100 Epoch[097] Batch [3099]/[3760] Speed: 35.355056 samples/sec accuracy=82.831149 loss=0.688568 lr=0.000100 Epoch[097] Batch [3149]/[3760] Speed: 35.047887 samples/sec accuracy=82.830853 loss=0.688778 lr=0.000100 Epoch[097] Batch [3199]/[3760] Speed: 35.184623 samples/sec accuracy=82.813477 loss=0.689128 lr=0.000100 Epoch[097] Batch [3249]/[3760] Speed: 35.381490 samples/sec accuracy=82.810577 loss=0.689017 lr=0.000100 Epoch[097] Batch [3299]/[3760] Speed: 35.109546 samples/sec accuracy=82.803030 loss=0.689217 lr=0.000100 Epoch[097] Batch [3349]/[3760] Speed: 35.218872 samples/sec accuracy=82.791978 loss=0.689632 lr=0.000100 Epoch[097] Batch [3399]/[3760] Speed: 35.179570 samples/sec accuracy=82.830882 loss=0.688131 lr=0.000100 Epoch[097] Batch [3449]/[3760] Speed: 34.994554 samples/sec accuracy=82.840127 loss=0.687572 lr=0.000100 Epoch[097] Batch [3499]/[3760] Speed: 35.277487 samples/sec accuracy=82.833929 loss=0.687645 lr=0.000100 Epoch[097] Batch [3549]/[3760] Speed: 34.980088 samples/sec accuracy=82.822623 loss=0.687924 lr=0.000100 Epoch[097] Batch [3599]/[3760] Speed: 34.853196 samples/sec accuracy=82.833767 loss=0.687815 lr=0.000100 Epoch[097] Batch [3649]/[3760] Speed: 34.936682 samples/sec accuracy=82.821062 loss=0.688240 lr=0.000100 Epoch[097] Batch [3699]/[3760] Speed: 34.615540 samples/sec accuracy=82.828125 loss=0.687886 lr=0.000100 Epoch[097] Batch [3749]/[3760] Speed: 36.338951 samples/sec accuracy=82.842500 loss=0.687582 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.343750 acc-top5=86.031250 Batch [0099]/[0303]: acc-top1=66.640625 acc-top5=85.218750 Batch [0149]/[0303]: acc-top1=67.166667 acc-top5=85.416667 Batch [0199]/[0303]: acc-top1=66.742188 acc-top5=85.500000 Batch [0249]/[0303]: acc-top1=66.562500 acc-top5=85.412500 Batch [0299]/[0303]: acc-top1=66.239583 acc-top5=85.364583 [Epoch 097] training: accuracy=82.840342 loss=0.687511 [Epoch 097] speed: 34 samples/sec time cost: 7345.968766 [Epoch 097] validation: acc-top1=66.233498 acc-top5=85.375413 loss=1.641600 Epoch[098] Batch [0049]/[3759] Speed: 24.944074 samples/sec accuracy=81.968750 loss=0.711876 lr=0.000100 Epoch[098] Batch [0099]/[3759] Speed: 35.567634 samples/sec accuracy=82.843750 loss=0.699806 lr=0.000100 Epoch[098] Batch [0149]/[3759] Speed: 35.252144 samples/sec accuracy=82.541667 loss=0.707285 lr=0.000100 Epoch[098] Batch [0199]/[3759] Speed: 35.292458 samples/sec accuracy=82.734375 loss=0.696739 lr=0.000100 Epoch[098] Batch [0249]/[3759] Speed: 35.019028 samples/sec accuracy=82.981250 loss=0.686696 lr=0.000100 Epoch[098] Batch [0299]/[3759] Speed: 35.364430 samples/sec accuracy=83.098958 loss=0.681775 lr=0.000100 Epoch[098] Batch [0349]/[3759] Speed: 35.101017 samples/sec accuracy=83.044643 loss=0.683525 lr=0.000100 Epoch[098] Batch [0399]/[3759] Speed: 35.302308 samples/sec accuracy=82.960938 loss=0.684658 lr=0.000100 Epoch[098] Batch [0449]/[3759] Speed: 35.260912 samples/sec accuracy=82.937500 loss=0.686113 lr=0.000100 Epoch[098] Batch [0499]/[3759] Speed: 35.364942 samples/sec accuracy=82.853125 loss=0.690278 lr=0.000100 Epoch[098] Batch [0549]/[3759] Speed: 35.043774 samples/sec accuracy=82.923295 loss=0.687920 lr=0.000100 Epoch[098] Batch [0599]/[3759] Speed: 35.164455 samples/sec accuracy=82.908854 loss=0.688574 lr=0.000100 Epoch[098] Batch [0649]/[3759] Speed: 35.155459 samples/sec accuracy=82.932692 loss=0.686693 lr=0.000100 Epoch[098] Batch [0699]/[3759] Speed: 35.210694 samples/sec accuracy=82.966518 loss=0.686208 lr=0.000100 Epoch[098] Batch [0749]/[3759] Speed: 35.341482 samples/sec accuracy=82.897917 loss=0.686629 lr=0.000100 Epoch[098] Batch [0799]/[3759] Speed: 34.925828 samples/sec accuracy=82.951172 loss=0.685605 lr=0.000100 Epoch[098] Batch [0849]/[3759] Speed: 35.312407 samples/sec accuracy=82.955882 loss=0.685144 lr=0.000100 Epoch[098] Batch [0899]/[3759] Speed: 35.103780 samples/sec accuracy=82.920139 loss=0.685898 lr=0.000100 Epoch[098] 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accuracy=82.753348 loss=0.686918 lr=0.000100 Epoch[098] Batch [1449]/[3759] Speed: 35.318041 samples/sec accuracy=82.759698 loss=0.687252 lr=0.000100 Epoch[098] Batch [1499]/[3759] Speed: 35.130680 samples/sec accuracy=82.782292 loss=0.687119 lr=0.000100 Epoch[098] Batch [1549]/[3759] Speed: 35.135895 samples/sec accuracy=82.814516 loss=0.686411 lr=0.000100 Epoch[098] Batch [1599]/[3759] Speed: 35.514603 samples/sec accuracy=82.843750 loss=0.686274 lr=0.000100 Epoch[098] Batch [1649]/[3759] Speed: 35.243916 samples/sec accuracy=82.857955 loss=0.686476 lr=0.000100 Epoch[098] Batch [1699]/[3759] Speed: 35.407368 samples/sec accuracy=82.834559 loss=0.686856 lr=0.000100 Epoch[098] Batch [1749]/[3759] Speed: 35.209216 samples/sec accuracy=82.849107 loss=0.686621 lr=0.000100 Epoch[098] Batch [1799]/[3759] Speed: 35.252527 samples/sec accuracy=82.850694 loss=0.685735 lr=0.000100 Epoch[098] Batch [1849]/[3759] Speed: 35.166299 samples/sec accuracy=82.867399 loss=0.684690 lr=0.000100 Epoch[098] 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Batch [2849]/[3759] Speed: 35.309328 samples/sec accuracy=82.915022 loss=0.682091 lr=0.000100 Epoch[098] Batch [2899]/[3759] Speed: 34.753311 samples/sec accuracy=82.910022 loss=0.682397 lr=0.000100 Epoch[098] Batch [2949]/[3759] Speed: 35.286546 samples/sec accuracy=82.890360 loss=0.682932 lr=0.000100 Epoch[098] Batch [2999]/[3759] Speed: 34.572634 samples/sec accuracy=82.889583 loss=0.682863 lr=0.000100 Epoch[098] Batch [3049]/[3759] Speed: 35.061692 samples/sec accuracy=82.909836 loss=0.682066 lr=0.000100 Epoch[098] Batch [3099]/[3759] Speed: 34.534934 samples/sec accuracy=82.909274 loss=0.682025 lr=0.000100 Epoch[098] Batch [3149]/[3759] Speed: 34.814671 samples/sec accuracy=82.904266 loss=0.682635 lr=0.000100 Epoch[098] Batch [3199]/[3759] Speed: 34.832605 samples/sec accuracy=82.875977 loss=0.683142 lr=0.000100 Epoch[098] Batch [3249]/[3759] Speed: 34.559163 samples/sec accuracy=82.869712 loss=0.683431 lr=0.000100 Epoch[098] Batch [3299]/[3759] Speed: 35.066000 samples/sec accuracy=82.870265 loss=0.683177 lr=0.000100 Epoch[098] Batch [3349]/[3759] Speed: 34.285578 samples/sec accuracy=82.875466 loss=0.683125 lr=0.000100 Epoch[098] Batch [3399]/[3759] Speed: 34.935420 samples/sec accuracy=82.880974 loss=0.682946 lr=0.000100 Epoch[098] Batch [3449]/[3759] Speed: 34.454066 samples/sec accuracy=82.867301 loss=0.683218 lr=0.000100 Epoch[098] Batch [3499]/[3759] Speed: 35.005764 samples/sec accuracy=82.872321 loss=0.683039 lr=0.000100 Epoch[098] Batch [3549]/[3759] Speed: 34.757817 samples/sec accuracy=82.863996 loss=0.683246 lr=0.000100 Epoch[098] Batch [3599]/[3759] Speed: 35.073694 samples/sec accuracy=82.880208 loss=0.683017 lr=0.000100 Epoch[098] Batch [3649]/[3759] Speed: 34.969455 samples/sec accuracy=82.882277 loss=0.683069 lr=0.000100 Epoch[098] Batch [3699]/[3759] Speed: 35.049612 samples/sec accuracy=82.879645 loss=0.682927 lr=0.000100 Epoch[098] Batch [3749]/[3759] Speed: 36.247289 samples/sec accuracy=82.880417 loss=0.682798 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.562500 acc-top5=85.937500 Batch [0099]/[0303]: acc-top1=66.765625 acc-top5=85.296875 Batch [0149]/[0303]: acc-top1=67.031250 acc-top5=85.437500 Batch [0199]/[0303]: acc-top1=66.742188 acc-top5=85.554688 Batch [0249]/[0303]: acc-top1=66.568750 acc-top5=85.475000 Batch [0299]/[0303]: acc-top1=66.401042 acc-top5=85.473958 [Epoch 098] training: accuracy=82.881085 loss=0.682925 [Epoch 098] speed: 34 samples/sec time cost: 7344.280421 [Epoch 098] validation: acc-top1=66.408828 acc-top5=85.483705 loss=1.644588 Epoch[099] Batch [0049]/[3760] Speed: 24.960580 samples/sec accuracy=83.093750 loss=0.709836 lr=0.000100 Epoch[099] Batch [0099]/[3760] Speed: 34.791147 samples/sec accuracy=83.187500 loss=0.676613 lr=0.000100 Epoch[099] Batch [0149]/[3760] Speed: 35.264750 samples/sec accuracy=83.479167 loss=0.665646 lr=0.000100 Epoch[099] Batch [0199]/[3760] Speed: 34.703969 samples/sec accuracy=83.437500 loss=0.667147 lr=0.000100 Epoch[099] Batch [0249]/[3760] Speed: 35.252445 samples/sec accuracy=83.287500 loss=0.671528 lr=0.000100 Epoch[099] Batch [0299]/[3760] Speed: 34.703813 samples/sec accuracy=83.380208 loss=0.671482 lr=0.000100 Epoch[099] Batch [0349]/[3760] Speed: 35.072405 samples/sec accuracy=83.218750 loss=0.673505 lr=0.000100 Epoch[099] Batch [0399]/[3760] Speed: 34.568773 samples/sec accuracy=83.101562 loss=0.674463 lr=0.000100 Epoch[099] Batch [0449]/[3760] Speed: 35.018552 samples/sec accuracy=83.097222 loss=0.674096 lr=0.000100 Epoch[099] Batch [0499]/[3760] Speed: 34.960265 samples/sec accuracy=83.171875 loss=0.670576 lr=0.000100 Epoch[099] Batch [0549]/[3760] Speed: 34.836120 samples/sec accuracy=83.215909 loss=0.671122 lr=0.000100 Epoch[099] Batch [0599]/[3760] Speed: 35.173421 samples/sec accuracy=83.145833 loss=0.673465 lr=0.000100 Epoch[099] Batch [0649]/[3760] Speed: 35.025878 samples/sec accuracy=83.120192 loss=0.673012 lr=0.000100 Epoch[099] Batch [0699]/[3760] Speed: 35.185984 samples/sec accuracy=83.147321 loss=0.671150 lr=0.000100 Epoch[099] Batch [0749]/[3760] Speed: 34.938408 samples/sec accuracy=83.097917 loss=0.673786 lr=0.000100 Epoch[099] Batch [0799]/[3760] Speed: 35.352953 samples/sec accuracy=83.021484 loss=0.678038 lr=0.000100 Epoch[099] Batch [0849]/[3760] Speed: 35.145744 samples/sec accuracy=83.068015 loss=0.678521 lr=0.000100 Epoch[099] Batch [0899]/[3760] Speed: 35.190348 samples/sec accuracy=83.092014 loss=0.677786 lr=0.000100 Epoch[099] Batch [0949]/[3760] Speed: 34.975389 samples/sec accuracy=83.023026 loss=0.679171 lr=0.000100 Epoch[099] Batch [0999]/[3760] Speed: 35.252864 samples/sec accuracy=82.973438 loss=0.680331 lr=0.000100 Epoch[099] Batch [1049]/[3760] Speed: 35.124264 samples/sec accuracy=83.043155 loss=0.678808 lr=0.000100 Epoch[099] Batch [1099]/[3760] Speed: 35.379696 samples/sec accuracy=83.009943 loss=0.680027 lr=0.000100 Epoch[099] Batch [1149]/[3760] Speed: 35.138737 samples/sec accuracy=83.042120 loss=0.679713 lr=0.000100 Epoch[099] Batch [1199]/[3760] Speed: 35.135980 samples/sec accuracy=83.058594 loss=0.678816 lr=0.000100 Epoch[099] Batch [1249]/[3760] Speed: 35.007752 samples/sec accuracy=83.061250 loss=0.678948 lr=0.000100 Epoch[099] Batch [1299]/[3760] Speed: 35.170141 samples/sec accuracy=83.069712 loss=0.678645 lr=0.000100 Epoch[099] Batch [1349]/[3760] Speed: 34.842648 samples/sec accuracy=83.078704 loss=0.679061 lr=0.000100 Epoch[099] Batch [1399]/[3760] Speed: 35.124550 samples/sec accuracy=83.063616 loss=0.679787 lr=0.000100 Epoch[099] Batch [1449]/[3760] Speed: 34.718931 samples/sec accuracy=83.059267 loss=0.681245 lr=0.000100 Epoch[099] Batch [1499]/[3760] Speed: 35.238913 samples/sec accuracy=83.086458 loss=0.679726 lr=0.000100 Epoch[099] Batch [1549]/[3760] Speed: 34.876775 samples/sec accuracy=83.142137 loss=0.678074 lr=0.000100 Epoch[099] Batch [1599]/[3760] Speed: 35.017620 samples/sec accuracy=83.112305 loss=0.679174 lr=0.000100 Epoch[099] Batch [1649]/[3760] Speed: 34.983196 samples/sec accuracy=83.108902 loss=0.678793 lr=0.000100 Epoch[099] Batch [1699]/[3760] Speed: 34.903419 samples/sec accuracy=83.133272 loss=0.678386 lr=0.000100 Epoch[099] Batch [1749]/[3760] Speed: 35.107023 samples/sec accuracy=83.116964 loss=0.679097 lr=0.000100 Epoch[099] Batch [1799]/[3760] Speed: 35.014784 samples/sec accuracy=83.140625 loss=0.677739 lr=0.000100 Epoch[099] Batch [1849]/[3760] Speed: 35.128242 samples/sec accuracy=83.149493 loss=0.677358 lr=0.000100 Epoch[099] Batch [1899]/[3760] Speed: 35.035870 samples/sec accuracy=83.156250 loss=0.677640 lr=0.000100 Epoch[099] Batch [1949]/[3760] Speed: 35.147837 samples/sec accuracy=83.141827 loss=0.677965 lr=0.000100 Epoch[099] Batch [1999]/[3760] Speed: 35.069569 samples/sec accuracy=83.155469 loss=0.677224 lr=0.000100 Epoch[099] Batch [2049]/[3760] Speed: 35.246932 samples/sec accuracy=83.148628 loss=0.677277 lr=0.000100 Epoch[099] Batch [2099]/[3760] Speed: 35.083027 samples/sec accuracy=83.150298 loss=0.677291 lr=0.000100 Epoch[099] Batch [2149]/[3760] Speed: 35.463185 samples/sec accuracy=83.111919 loss=0.678565 lr=0.000100 Epoch[099] Batch [2199]/[3760] Speed: 35.166918 samples/sec accuracy=83.115767 loss=0.679015 lr=0.000100 Epoch[099] Batch [2249]/[3760] Speed: 35.297555 samples/sec accuracy=83.106250 loss=0.679204 lr=0.000100 Epoch[099] Batch [2299]/[3760] Speed: 35.146108 samples/sec accuracy=83.104620 loss=0.678962 lr=0.000100 Epoch[099] Batch [2349]/[3760] Speed: 35.119345 samples/sec accuracy=83.075133 loss=0.679174 lr=0.000100 Epoch[099] Batch [2399]/[3760] Speed: 34.948560 samples/sec accuracy=83.096354 loss=0.678351 lr=0.000100 Epoch[099] Batch [2449]/[3760] Speed: 35.271689 samples/sec accuracy=83.084184 loss=0.678754 lr=0.000100 Epoch[099] Batch [2499]/[3760] Speed: 34.903266 samples/sec accuracy=83.111250 loss=0.677735 lr=0.000100 Epoch[099] Batch [2549]/[3760] Speed: 35.240404 samples/sec accuracy=83.116422 loss=0.677484 lr=0.000100 Epoch[099] Batch [2599]/[3760] Speed: 35.044090 samples/sec accuracy=83.117188 loss=0.677466 lr=0.000100 Epoch[099] Batch [2649]/[3760] Speed: 35.201035 samples/sec accuracy=83.114387 loss=0.677488 lr=0.000100 Epoch[099] Batch [2699]/[3760] Speed: 35.028647 samples/sec accuracy=83.115741 loss=0.677353 lr=0.000100 Epoch[099] Batch [2749]/[3760] Speed: 34.901896 samples/sec accuracy=83.108523 loss=0.677636 lr=0.000100 Epoch[099] Batch [2799]/[3760] Speed: 35.272880 samples/sec accuracy=83.096540 loss=0.677980 lr=0.000100 Epoch[099] Batch [2849]/[3760] Speed: 34.794225 samples/sec accuracy=83.107456 loss=0.677675 lr=0.000100 Epoch[099] Batch [2899]/[3760] Speed: 35.336455 samples/sec accuracy=83.077047 loss=0.678699 lr=0.000100 Epoch[099] Batch [2949]/[3760] Speed: 34.850358 samples/sec accuracy=83.073623 loss=0.678740 lr=0.000100 Epoch[099] Batch [2999]/[3760] Speed: 35.224757 samples/sec accuracy=83.058854 loss=0.679215 lr=0.000100 Epoch[099] Batch [3049]/[3760] Speed: 34.842552 samples/sec accuracy=83.072746 loss=0.678607 lr=0.000100 Epoch[099] Batch [3099]/[3760] Speed: 35.190910 samples/sec accuracy=83.100806 loss=0.677646 lr=0.000100 Epoch[099] Batch [3149]/[3760] Speed: 35.068107 samples/sec accuracy=83.106151 loss=0.677187 lr=0.000100 Epoch[099] Batch [3199]/[3760] Speed: 35.135807 samples/sec accuracy=83.103516 loss=0.677235 lr=0.000100 Epoch[099] Batch [3249]/[3760] Speed: 35.046643 samples/sec accuracy=83.092788 loss=0.677424 lr=0.000100 Epoch[099] Batch [3299]/[3760] Speed: 35.153126 samples/sec accuracy=83.101326 loss=0.676998 lr=0.000100 Epoch[099] Batch [3349]/[3760] Speed: 35.134797 samples/sec accuracy=83.083489 loss=0.677539 lr=0.000100 Epoch[099] Batch [3399]/[3760] Speed: 35.166700 samples/sec accuracy=83.092831 loss=0.677350 lr=0.000100 Epoch[099] Batch [3449]/[3760] Speed: 35.100130 samples/sec accuracy=83.096920 loss=0.677043 lr=0.000100 Epoch[099] Batch [3499]/[3760] Speed: 35.160124 samples/sec accuracy=83.104911 loss=0.676488 lr=0.000100 Epoch[099] Batch [3549]/[3760] Speed: 35.266913 samples/sec accuracy=83.087588 loss=0.677105 lr=0.000100 Epoch[099] Batch [3599]/[3760] Speed: 35.023182 samples/sec accuracy=83.091580 loss=0.676855 lr=0.000100 Epoch[099] Batch [3649]/[3760] Speed: 35.076129 samples/sec accuracy=83.095890 loss=0.676567 lr=0.000100 Epoch[099] Batch [3699]/[3760] Speed: 34.825437 samples/sec accuracy=83.105574 loss=0.676182 lr=0.000100 Epoch[099] Batch [3749]/[3760] Speed: 36.404900 samples/sec accuracy=83.094583 loss=0.676621 lr=0.000100 Batch [0049]/[0303]: acc-top1=67.312500 acc-top5=85.875000 Batch [0099]/[0303]: acc-top1=66.640625 acc-top5=85.187500 Batch [0149]/[0303]: acc-top1=67.062500 acc-top5=85.395833 Batch [0199]/[0303]: acc-top1=66.765625 acc-top5=85.421875 Batch [0249]/[0303]: acc-top1=66.612500 acc-top5=85.337500 Batch [0299]/[0303]: acc-top1=66.505208 acc-top5=85.395833 [Epoch 099] training: accuracy=83.087600 loss=0.676853 [Epoch 099] speed: 34 samples/sec time cost: 7344.960073 [Epoch 099] validation: acc-top1=66.496493 acc-top5=85.406353 loss=1.645211