Namespace(accumulate=1, batch_norm=False, batch_size=8, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, hard_weight=0.5, hashtag='', input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='i3d_inceptionv1_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_inceptionv1_kinetics400', momentum=0.9, new_height=256, new_length=32, new_step=2, new_width=340, 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_inceptionv1_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_InceptionV1( (features): HybridSequential( (0): HybridSequential( (0): Conv3D(3 -> 64, kernel_size=(7, 7, 7), stride=(2, 2, 2), padding=(3, 3, 3), 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): MaxPool3D(size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (2): HybridSequential( (0): Conv3D(64 -> 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) ) (3): HybridSequential( (0): Conv3D(64 -> 192, 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=192) (2): Activation(relu) ) (4): MaxPool3D(size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (5): 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 -> 96, 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=96) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(96 -> 128, 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=128) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(192 -> 16, 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=16) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(16 -> 32, 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=32) (2): Activation(relu) ) ) (3): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, 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) ) ) ) (6): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(256 -> 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): HybridSequential( (0): Conv3D(256 -> 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 -> 192, 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=192) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(256 -> 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) ) (1): HybridSequential( (0): Conv3D(32 -> 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): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, 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) ) ) ) (7): MaxPool3D(size=(3, 3, 3), stride=(2, 2, 2), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (8): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(480 -> 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(480 -> 96, 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=96) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(96 -> 208, 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=208) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(480 -> 16, 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=16) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(16 -> 48, 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=48) (2): Activation(relu) ) ) (3): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(480 -> 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(512 -> 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): HybridSequential( (0): Conv3D(512 -> 112, 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=112) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(112 -> 224, 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=224) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(512 -> 24, 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=24) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(24 -> 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): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(512 -> 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(512 -> 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): HybridSequential( (0): Conv3D(512 -> 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 -> 256, 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=256) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(512 -> 24, 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=24) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(24 -> 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): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(512 -> 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) ) ) ) (11): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(512 -> 112, 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=112) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(512 -> 144, 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=144) (2): Activation(relu) ) (1): HybridSequential( (0): Conv3D(144 -> 288, 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=288) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(512 -> 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) ) (1): 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): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(512 -> 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) ) ) ) (12): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(528 -> 256, 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=256) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(528 -> 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 -> 320, 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=320) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(528 -> 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) ) (1): HybridSequential( (0): Conv3D(32 -> 128, 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=128) (2): Activation(relu) ) ) (3): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(528 -> 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) ) ) ) (13): MaxPool3D(size=(2, 2, 2), stride=(2, 2, 2), padding=(0, 0, 0), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (14): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(832 -> 256, 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=256) (2): Activation(relu) ) ) (1): HybridSequential( (0): HybridSequential( (0): Conv3D(832 -> 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 -> 320, 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=320) (2): Activation(relu) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(832 -> 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) ) (1): HybridSequential( (0): Conv3D(32 -> 128, 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=128) (2): Activation(relu) ) ) (3): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(832 -> 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) ) ) ) (15): HybridConcurrent( (0): HybridSequential( (0): HybridSequential( (0): Conv3D(832 -> 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): HybridSequential( (0): HybridSequential( (0): Conv3D(832 -> 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 -> 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) ) ) (2): HybridSequential( (0): HybridSequential( (0): Conv3D(832 -> 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 -> 128, 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=128) (2): Activation(relu) ) ) (3): HybridSequential( (0): MaxPool3D(size=(3, 3, 3), stride=(1, 1, 1), padding=(1, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (1): HybridSequential( (0): Conv3D(832 -> 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) ) ) ) (16): 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(1024 -> 400, linear) ) (output): Dense(1024 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[3759] Speed: 36.840570 samples/sec accuracy=0.781250 loss=5.964761 lr=0.010000 Epoch[000] Batch [0099]/[3759] Speed: 64.947627 samples/sec accuracy=1.062500 loss=5.870239 lr=0.010000 Epoch[000] Batch [0149]/[3759] Speed: 71.111515 samples/sec accuracy=1.375000 loss=5.782267 lr=0.010000 Epoch[000] Batch [0199]/[3759] Speed: 63.436096 samples/sec accuracy=1.789062 loss=5.699661 lr=0.010000 Epoch[000] Batch [0249]/[3759] Speed: 69.565137 samples/sec accuracy=2.200000 loss=5.624246 lr=0.010000 Epoch[000] Batch [0299]/[3759] Speed: 67.985561 samples/sec accuracy=2.588542 loss=5.555615 lr=0.010000 Epoch[000] Batch [0349]/[3759] Speed: 63.217509 samples/sec accuracy=2.941964 loss=5.491907 lr=0.010000 Epoch[000] Batch [0399]/[3759] Speed: 67.799570 samples/sec accuracy=3.289062 loss=5.434089 lr=0.010000 Epoch[000] Batch [0449]/[3759] Speed: 68.640688 samples/sec accuracy=3.583333 loss=5.389808 lr=0.010000 Epoch[000] Batch [0499]/[3759] Speed: 64.514312 samples/sec 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lr=0.010000 Epoch[000] Batch [3399]/[3759] Speed: 67.940605 samples/sec accuracy=13.837316 loss=4.312175 lr=0.010000 Epoch[000] Batch [3449]/[3759] Speed: 68.136956 samples/sec accuracy=13.941576 loss=4.303860 lr=0.010000 Epoch[000] Batch [3499]/[3759] Speed: 65.655432 samples/sec accuracy=14.051339 loss=4.294730 lr=0.010000 Epoch[000] Batch [3549]/[3759] Speed: 66.589288 samples/sec accuracy=14.147887 loss=4.287042 lr=0.010000 Epoch[000] Batch [3599]/[3759] Speed: 63.588087 samples/sec accuracy=14.250868 loss=4.278162 lr=0.010000 Epoch[000] Batch [3649]/[3759] Speed: 68.807954 samples/sec accuracy=14.347603 loss=4.270259 lr=0.010000 Epoch[000] Batch [3699]/[3759] Speed: 68.185288 samples/sec accuracy=14.459037 loss=4.261687 lr=0.010000 Epoch[000] Batch [3749]/[3759] Speed: 74.586626 samples/sec accuracy=14.550833 loss=4.254391 lr=0.010000 Batch [0049]/[0303]: acc-top1=23.750000 acc-top5=48.187500 Batch [0099]/[0303]: acc-top1=23.687500 acc-top5=48.687500 Batch [0149]/[0303]: acc-top1=23.833333 acc-top5=49.135417 Batch [0199]/[0303]: acc-top1=24.085938 acc-top5=49.570312 Batch [0249]/[0303]: acc-top1=24.087500 acc-top5=49.693750 Batch [0299]/[0303]: acc-top1=23.802083 acc-top5=49.536458 [Epoch 000] training: accuracy=14.565875 loss=4.253158 [Epoch 000] speed: 66 samples/sec time cost: 3944.831826 [Epoch 000] validation: acc-top1=23.819101 acc-top5=49.525578 loss=3.683455 Epoch[001] Batch [0049]/[3760] Speed: 45.551238 samples/sec accuracy=22.187500 loss=3.628117 lr=0.010000 Epoch[001] Batch [0099]/[3760] Speed: 68.302459 samples/sec accuracy=22.453125 loss=3.607098 lr=0.010000 Epoch[001] Batch [0149]/[3760] Speed: 66.875441 samples/sec accuracy=22.625000 loss=3.605632 lr=0.010000 Epoch[001] Batch [0199]/[3760] Speed: 67.557002 samples/sec accuracy=22.710938 loss=3.600579 lr=0.010000 Epoch[001] Batch [0249]/[3760] Speed: 67.185587 samples/sec accuracy=22.825000 loss=3.590850 lr=0.010000 Epoch[001] Batch [0299]/[3760] Speed: 66.068549 samples/sec accuracy=22.822917 loss=3.590546 lr=0.010000 Epoch[001] Batch [0349]/[3760] Speed: 67.992725 samples/sec accuracy=23.071429 loss=3.581594 lr=0.010000 Epoch[001] Batch [0399]/[3760] Speed: 63.452975 samples/sec accuracy=23.031250 loss=3.577785 lr=0.010000 Epoch[001] Batch [0449]/[3760] Speed: 69.476013 samples/sec accuracy=23.052083 loss=3.578720 lr=0.010000 Epoch[001] Batch [0499]/[3760] Speed: 66.746772 samples/sec accuracy=23.021875 loss=3.580720 lr=0.010000 Epoch[001] Batch [0549]/[3760] Speed: 66.440365 samples/sec accuracy=22.960227 loss=3.578635 lr=0.010000 Epoch[001] Batch [0599]/[3760] Speed: 66.259872 samples/sec accuracy=23.075521 loss=3.571297 lr=0.010000 Epoch[001] Batch [0649]/[3760] Speed: 65.856452 samples/sec accuracy=23.088942 loss=3.572548 lr=0.010000 Epoch[001] Batch [0699]/[3760] Speed: 66.413989 samples/sec accuracy=23.158482 loss=3.570543 lr=0.010000 Epoch[001] Batch [0749]/[3760] Speed: 66.017473 samples/sec accuracy=23.258333 loss=3.567609 lr=0.010000 Epoch[001] 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accuracy=25.600694 loss=3.432206 lr=0.010000 Epoch[001] Batch [3199]/[3760] Speed: 67.277714 samples/sec accuracy=25.625000 loss=3.430490 lr=0.010000 Epoch[001] Batch [3249]/[3760] Speed: 66.815005 samples/sec accuracy=25.673558 loss=3.427256 lr=0.010000 Epoch[001] Batch [3299]/[3760] Speed: 68.984295 samples/sec accuracy=25.697443 loss=3.424711 lr=0.010000 Epoch[001] Batch [3349]/[3760] Speed: 65.147968 samples/sec accuracy=25.736474 loss=3.421761 lr=0.010000 Epoch[001] Batch [3399]/[3760] Speed: 68.221854 samples/sec accuracy=25.762408 loss=3.419839 lr=0.010000 Epoch[001] Batch [3449]/[3760] Speed: 64.732124 samples/sec accuracy=25.817029 loss=3.417087 lr=0.010000 Epoch[001] Batch [3499]/[3760] Speed: 67.822100 samples/sec accuracy=25.841518 loss=3.415339 lr=0.010000 Epoch[001] Batch [3549]/[3760] Speed: 65.437702 samples/sec accuracy=25.861356 loss=3.413728 lr=0.010000 Epoch[001] Batch [3599]/[3760] Speed: 68.908776 samples/sec accuracy=25.900608 loss=3.412030 lr=0.010000 Epoch[001] Batch [3649]/[3760] Speed: 68.469592 samples/sec accuracy=25.955051 loss=3.409155 lr=0.010000 Epoch[001] Batch [3699]/[3760] Speed: 64.138950 samples/sec accuracy=25.995355 loss=3.407165 lr=0.010000 Epoch[001] Batch [3749]/[3760] Speed: 74.256291 samples/sec accuracy=26.036667 loss=3.404839 lr=0.010000 Batch [0049]/[0303]: acc-top1=31.781250 acc-top5=59.781250 Batch [0099]/[0303]: acc-top1=31.437500 acc-top5=59.281250 Batch [0149]/[0303]: acc-top1=31.833333 acc-top5=59.875000 Batch [0199]/[0303]: acc-top1=32.335938 acc-top5=60.046875 Batch [0249]/[0303]: acc-top1=31.912500 acc-top5=60.212500 Batch [0299]/[0303]: acc-top1=31.703125 acc-top5=59.786458 [Epoch 001] training: accuracy=26.041805 loss=3.404929 [Epoch 001] speed: 66 samples/sec time cost: 3924.091269 [Epoch 001] validation: acc-top1=31.719266 acc-top5=59.777228 loss=3.176292 Epoch[002] Batch [0049]/[3759] Speed: 45.173334 samples/sec accuracy=29.093750 loss=3.209565 lr=0.010000 Epoch[002] Batch [0099]/[3759] Speed: 68.152135 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lr=0.010000 Epoch[002] Batch [3449]/[3759] Speed: 67.078437 samples/sec accuracy=31.615942 loss=3.080039 lr=0.010000 Epoch[002] Batch [3499]/[3759] Speed: 68.766673 samples/sec accuracy=31.638393 loss=3.078747 lr=0.010000 Epoch[002] Batch [3549]/[3759] Speed: 63.154738 samples/sec accuracy=31.665933 loss=3.077170 lr=0.010000 Epoch[002] Batch [3599]/[3759] Speed: 69.439218 samples/sec accuracy=31.694010 loss=3.075032 lr=0.010000 Epoch[002] Batch [3649]/[3759] Speed: 65.412691 samples/sec accuracy=31.720462 loss=3.074648 lr=0.010000 Epoch[002] Batch [3699]/[3759] Speed: 66.338905 samples/sec accuracy=31.753378 loss=3.072937 lr=0.010000 Epoch[002] Batch [3749]/[3759] Speed: 75.154116 samples/sec accuracy=31.772500 loss=3.071560 lr=0.010000 Batch [0049]/[0303]: acc-top1=36.625000 acc-top5=65.000000 Batch [0099]/[0303]: acc-top1=36.171875 acc-top5=65.250000 Batch [0149]/[0303]: acc-top1=36.739583 acc-top5=65.343750 Batch [0199]/[0303]: acc-top1=37.187500 acc-top5=65.648438 Batch [0249]/[0303]: acc-top1=36.806250 acc-top5=65.562500 Batch [0299]/[0303]: acc-top1=36.645833 acc-top5=65.177083 [Epoch 002] training: accuracy=31.775821 loss=3.071343 [Epoch 002] speed: 66 samples/sec time cost: 3924.271649 [Epoch 002] validation: acc-top1=36.618193 acc-top5=65.114480 loss=2.868469 Epoch[003] Batch [0049]/[3760] Speed: 46.863842 samples/sec accuracy=34.500000 loss=2.926053 lr=0.010000 Epoch[003] Batch [0099]/[3760] Speed: 63.908579 samples/sec accuracy=34.140625 loss=2.930776 lr=0.010000 Epoch[003] Batch [0149]/[3760] Speed: 68.486021 samples/sec accuracy=34.458333 loss=2.937043 lr=0.010000 Epoch[003] Batch [0199]/[3760] Speed: 66.955871 samples/sec accuracy=34.625000 loss=2.931509 lr=0.010000 Epoch[003] Batch [0249]/[3760] Speed: 64.422109 samples/sec accuracy=34.387500 loss=2.933740 lr=0.010000 Epoch[003] Batch [0299]/[3760] Speed: 67.047083 samples/sec accuracy=34.531250 loss=2.924623 lr=0.010000 Epoch[003] Batch [0349]/[3760] Speed: 68.594250 samples/sec accuracy=34.526786 loss=2.924198 lr=0.010000 Epoch[003] Batch [0399]/[3760] Speed: 66.659849 samples/sec accuracy=34.421875 loss=2.920473 lr=0.010000 Epoch[003] Batch [0449]/[3760] Speed: 66.745354 samples/sec accuracy=34.579861 loss=2.911097 lr=0.010000 Epoch[003] Batch [0499]/[3760] Speed: 66.561626 samples/sec accuracy=34.659375 loss=2.910402 lr=0.010000 Epoch[003] Batch [0549]/[3760] Speed: 68.601616 samples/sec accuracy=34.821023 loss=2.903083 lr=0.010000 Epoch[003] Batch [0599]/[3760] Speed: 67.197284 samples/sec accuracy=34.864583 loss=2.903082 lr=0.010000 Epoch[003] Batch [0649]/[3760] Speed: 63.479043 samples/sec accuracy=34.896635 loss=2.901273 lr=0.010000 Epoch[003] Batch [0699]/[3760] Speed: 68.060717 samples/sec accuracy=34.843750 loss=2.902948 lr=0.010000 Epoch[003] Batch [0749]/[3760] Speed: 65.775263 samples/sec accuracy=34.822917 loss=2.903115 lr=0.010000 Epoch[003] Batch [0799]/[3760] Speed: 65.639689 samples/sec accuracy=34.826172 loss=2.902924 lr=0.010000 Epoch[003] 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accuracy=35.054167 loss=2.884784 lr=0.010000 Epoch[003] Batch [2299]/[3760] Speed: 64.691047 samples/sec accuracy=35.005435 loss=2.886415 lr=0.010000 Epoch[003] Batch [2349]/[3760] Speed: 67.288074 samples/sec accuracy=35.008644 loss=2.886074 lr=0.010000 Epoch[003] Batch [2399]/[3760] Speed: 67.612359 samples/sec accuracy=35.033854 loss=2.884606 lr=0.010000 Epoch[003] Batch [2449]/[3760] Speed: 64.314327 samples/sec accuracy=35.061224 loss=2.883852 lr=0.010000 Epoch[003] Batch [2499]/[3760] Speed: 68.281222 samples/sec accuracy=35.078750 loss=2.882780 lr=0.010000 Epoch[003] Batch [2549]/[3760] Speed: 65.643592 samples/sec accuracy=35.096814 loss=2.881966 lr=0.010000 Epoch[003] Batch [2599]/[3760] Speed: 66.737326 samples/sec accuracy=35.107572 loss=2.882086 lr=0.010000 Epoch[003] Batch [2649]/[3760] Speed: 64.570922 samples/sec accuracy=35.140920 loss=2.880460 lr=0.010000 Epoch[003] Batch [2699]/[3760] Speed: 67.264470 samples/sec accuracy=35.125000 loss=2.880508 lr=0.010000 Epoch[003] 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accuracy=35.319824 loss=2.869554 lr=0.010000 Epoch[003] Batch [3249]/[3760] Speed: 69.669961 samples/sec accuracy=35.305769 loss=2.869749 lr=0.010000 Epoch[003] Batch [3299]/[3760] Speed: 68.798389 samples/sec accuracy=35.323390 loss=2.869127 lr=0.010000 Epoch[003] Batch [3349]/[3760] Speed: 64.584912 samples/sec accuracy=35.317164 loss=2.869314 lr=0.010000 Epoch[003] Batch [3399]/[3760] Speed: 67.936113 samples/sec accuracy=35.348805 loss=2.867931 lr=0.010000 Epoch[003] Batch [3449]/[3760] Speed: 65.887888 samples/sec accuracy=35.365036 loss=2.867137 lr=0.010000 Epoch[003] Batch [3499]/[3760] Speed: 68.515348 samples/sec accuracy=35.389732 loss=2.865249 lr=0.010000 Epoch[003] Batch [3549]/[3760] Speed: 66.412382 samples/sec accuracy=35.402289 loss=2.865078 lr=0.010000 Epoch[003] Batch [3599]/[3760] Speed: 64.886126 samples/sec accuracy=35.407118 loss=2.864453 lr=0.010000 Epoch[003] Batch [3649]/[3760] Speed: 65.231733 samples/sec accuracy=35.431507 loss=2.863593 lr=0.010000 Epoch[003] Batch [3699]/[3760] Speed: 66.370621 samples/sec accuracy=35.433699 loss=2.863507 lr=0.010000 Epoch[003] Batch [3749]/[3760] Speed: 75.252458 samples/sec accuracy=35.455417 loss=2.862424 lr=0.010000 Batch [0049]/[0303]: acc-top1=40.062500 acc-top5=67.375000 Batch [0099]/[0303]: acc-top1=39.765625 acc-top5=67.718750 Batch [0149]/[0303]: acc-top1=39.937500 acc-top5=67.843750 Batch [0199]/[0303]: acc-top1=40.265625 acc-top5=67.898438 Batch [0249]/[0303]: acc-top1=40.275000 acc-top5=67.987500 Batch [0299]/[0303]: acc-top1=40.036458 acc-top5=67.776042 [Epoch 003] training: accuracy=35.460023 loss=2.862244 [Epoch 003] speed: 66 samples/sec time cost: 3934.246470 [Epoch 003] validation: acc-top1=40.037129 acc-top5=67.728960 loss=2.737825 Epoch[004] Batch [0049]/[3760] Speed: 45.604905 samples/sec accuracy=38.062500 loss=2.752838 lr=0.010000 Epoch[004] Batch [0099]/[3760] Speed: 68.348354 samples/sec accuracy=37.343750 loss=2.773288 lr=0.010000 Epoch[004] Batch [0149]/[3760] Speed: 68.283070 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lr=0.010000 Epoch[004] Batch [2549]/[3760] Speed: 67.447152 samples/sec accuracy=38.001838 loss=2.732362 lr=0.010000 Epoch[004] Batch [2599]/[3760] Speed: 65.406129 samples/sec accuracy=38.006611 loss=2.731269 lr=0.010000 Epoch[004] Batch [2649]/[3760] Speed: 67.465123 samples/sec accuracy=38.026533 loss=2.730094 lr=0.010000 Epoch[004] Batch [2699]/[3760] Speed: 66.613624 samples/sec accuracy=38.028356 loss=2.730925 lr=0.010000 Epoch[004] Batch [2749]/[3760] Speed: 68.571831 samples/sec accuracy=38.031250 loss=2.730235 lr=0.010000 Epoch[004] Batch [2799]/[3760] Speed: 65.829025 samples/sec accuracy=38.052455 loss=2.729189 lr=0.010000 Epoch[004] Batch [2849]/[3760] Speed: 68.009934 samples/sec accuracy=38.050439 loss=2.729228 lr=0.010000 Epoch[004] Batch [2899]/[3760] Speed: 64.723590 samples/sec accuracy=38.057651 loss=2.728369 lr=0.010000 Epoch[004] Batch [2949]/[3760] Speed: 68.351867 samples/sec accuracy=38.051907 loss=2.728979 lr=0.010000 Epoch[004] Batch [2999]/[3760] Speed: 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lr=0.010000 Epoch[004] Batch [3499]/[3760] Speed: 68.904058 samples/sec accuracy=38.202232 loss=2.721190 lr=0.010000 Epoch[004] Batch [3549]/[3760] Speed: 63.978474 samples/sec accuracy=38.220951 loss=2.720492 lr=0.010000 Epoch[004] Batch [3599]/[3760] Speed: 67.823497 samples/sec accuracy=38.230035 loss=2.719751 lr=0.010000 Epoch[004] Batch [3649]/[3760] Speed: 66.721237 samples/sec accuracy=38.244435 loss=2.718908 lr=0.010000 Epoch[004] Batch [3699]/[3760] Speed: 66.124380 samples/sec accuracy=38.249578 loss=2.719200 lr=0.010000 Epoch[004] Batch [3749]/[3760] Speed: 75.481506 samples/sec accuracy=38.252500 loss=2.718796 lr=0.010000 Batch [0049]/[0303]: acc-top1=42.031250 acc-top5=68.656250 Batch [0099]/[0303]: acc-top1=41.187500 acc-top5=68.406250 Batch [0149]/[0303]: acc-top1=41.562500 acc-top5=69.041667 Batch [0199]/[0303]: acc-top1=41.929688 acc-top5=69.445312 Batch [0249]/[0303]: acc-top1=41.993750 acc-top5=69.443750 Batch [0299]/[0303]: acc-top1=41.843750 acc-top5=69.333333 [Epoch 004] training: accuracy=38.246343 loss=2.718849 [Epoch 004] speed: 66 samples/sec time cost: 3926.086306 [Epoch 004] validation: acc-top1=41.836840 acc-top5=69.286304 loss=2.633419 Epoch[005] Batch [0049]/[3759] Speed: 47.447364 samples/sec accuracy=39.593750 loss=2.627201 lr=0.010000 Epoch[005] Batch [0099]/[3759] Speed: 64.449671 samples/sec accuracy=39.859375 loss=2.611551 lr=0.010000 Epoch[005] Batch [0149]/[3759] Speed: 68.121023 samples/sec accuracy=40.062500 loss=2.613328 lr=0.010000 Epoch[005] Batch [0199]/[3759] Speed: 67.010467 samples/sec accuracy=39.828125 loss=2.619670 lr=0.010000 Epoch[005] Batch [0249]/[3759] Speed: 67.710618 samples/sec accuracy=40.056250 loss=2.614114 lr=0.010000 Epoch[005] Batch [0299]/[3759] Speed: 66.933373 samples/sec accuracy=39.843750 loss=2.617498 lr=0.010000 Epoch[005] Batch [0349]/[3759] Speed: 67.206302 samples/sec accuracy=39.825893 loss=2.623155 lr=0.010000 Epoch[005] Batch [0399]/[3759] Speed: 65.947098 samples/sec accuracy=39.546875 loss=2.636131 lr=0.010000 Epoch[005] Batch [0449]/[3759] Speed: 67.130877 samples/sec accuracy=39.541667 loss=2.636889 lr=0.010000 Epoch[005] Batch [0499]/[3759] Speed: 65.764649 samples/sec accuracy=39.765625 loss=2.630947 lr=0.010000 Epoch[005] Batch [0549]/[3759] Speed: 67.994959 samples/sec accuracy=39.741477 loss=2.629494 lr=0.010000 Epoch[005] Batch [0599]/[3759] Speed: 65.795606 samples/sec accuracy=39.713542 loss=2.630470 lr=0.010000 Epoch[005] Batch [0649]/[3759] Speed: 67.799534 samples/sec accuracy=39.733173 loss=2.628326 lr=0.010000 Epoch[005] Batch [0699]/[3759] Speed: 64.319928 samples/sec accuracy=39.823661 loss=2.625902 lr=0.010000 Epoch[005] Batch [0749]/[3759] Speed: 67.473658 samples/sec accuracy=39.960417 loss=2.621372 lr=0.010000 Epoch[005] Batch [0799]/[3759] Speed: 68.893436 samples/sec accuracy=39.962891 loss=2.624035 lr=0.010000 Epoch[005] Batch [0849]/[3759] Speed: 63.472468 samples/sec accuracy=39.930147 loss=2.623533 lr=0.010000 Epoch[005] 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accuracy=39.862269 loss=2.624916 lr=0.010000 Epoch[005] Batch [1399]/[3759] Speed: 68.128691 samples/sec accuracy=39.910714 loss=2.622852 lr=0.010000 Epoch[005] Batch [1449]/[3759] Speed: 65.354754 samples/sec accuracy=39.915948 loss=2.622749 lr=0.010000 Epoch[005] Batch [1499]/[3759] Speed: 67.952699 samples/sec accuracy=39.918750 loss=2.622801 lr=0.010000 Epoch[005] Batch [1549]/[3759] Speed: 63.651902 samples/sec accuracy=39.904234 loss=2.621712 lr=0.010000 Epoch[005] Batch [1599]/[3759] Speed: 69.666051 samples/sec accuracy=39.911133 loss=2.620504 lr=0.010000 Epoch[005] Batch [1649]/[3759] Speed: 67.930822 samples/sec accuracy=39.940341 loss=2.621380 lr=0.010000 Epoch[005] Batch [1699]/[3759] Speed: 66.290666 samples/sec accuracy=39.943934 loss=2.622337 lr=0.010000 Epoch[005] Batch [1749]/[3759] Speed: 66.712760 samples/sec accuracy=39.983036 loss=2.620524 lr=0.010000 Epoch[005] Batch [1799]/[3759] Speed: 64.432621 samples/sec accuracy=40.023438 loss=2.618486 lr=0.010000 Epoch[005] 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accuracy=40.192255 loss=2.611615 lr=0.010000 Epoch[005] Batch [2349]/[3759] Speed: 69.035574 samples/sec accuracy=40.191489 loss=2.611635 lr=0.010000 Epoch[005] Batch [2399]/[3759] Speed: 68.167857 samples/sec accuracy=40.224609 loss=2.610287 lr=0.010000 Epoch[005] Batch [2449]/[3759] Speed: 67.363099 samples/sec accuracy=40.186224 loss=2.611899 lr=0.010000 Epoch[005] Batch [2499]/[3759] Speed: 64.286616 samples/sec accuracy=40.187500 loss=2.611557 lr=0.010000 Epoch[005] Batch [2549]/[3759] Speed: 68.160146 samples/sec accuracy=40.209559 loss=2.610915 lr=0.010000 Epoch[005] Batch [2599]/[3759] Speed: 65.883497 samples/sec accuracy=40.173077 loss=2.612659 lr=0.010000 Epoch[005] Batch [2649]/[3759] Speed: 68.447936 samples/sec accuracy=40.166274 loss=2.612042 lr=0.010000 Epoch[005] Batch [2699]/[3759] Speed: 67.282731 samples/sec accuracy=40.197338 loss=2.610006 lr=0.010000 Epoch[005] Batch [2749]/[3759] Speed: 65.974225 samples/sec accuracy=40.209091 loss=2.609917 lr=0.010000 Epoch[005] 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accuracy=40.323077 loss=2.605581 lr=0.010000 Epoch[005] Batch [3299]/[3759] Speed: 65.574650 samples/sec accuracy=40.323864 loss=2.605323 lr=0.010000 Epoch[005] Batch [3349]/[3759] Speed: 69.565819 samples/sec accuracy=40.342351 loss=2.604264 lr=0.010000 Epoch[005] Batch [3399]/[3759] Speed: 64.680082 samples/sec accuracy=40.365349 loss=2.603194 lr=0.010000 Epoch[005] Batch [3449]/[3759] Speed: 66.951486 samples/sec accuracy=40.371830 loss=2.603109 lr=0.010000 Epoch[005] Batch [3499]/[3759] Speed: 68.253832 samples/sec accuracy=40.365625 loss=2.603274 lr=0.010000 Epoch[005] Batch [3549]/[3759] Speed: 66.928292 samples/sec accuracy=40.380722 loss=2.602682 lr=0.010000 Epoch[005] Batch [3599]/[3759] Speed: 65.650456 samples/sec accuracy=40.398872 loss=2.602106 lr=0.010000 Epoch[005] Batch [3649]/[3759] Speed: 67.612184 samples/sec accuracy=40.388699 loss=2.602780 lr=0.010000 Epoch[005] Batch [3699]/[3759] Speed: 67.931865 samples/sec accuracy=40.404561 loss=2.601946 lr=0.010000 Epoch[005] Batch [3749]/[3759] Speed: 73.908202 samples/sec accuracy=40.422083 loss=2.601571 lr=0.010000 Batch [0049]/[0303]: acc-top1=43.875000 acc-top5=70.968750 Batch [0099]/[0303]: acc-top1=43.031250 acc-top5=70.500000 Batch [0149]/[0303]: acc-top1=43.406250 acc-top5=70.791667 Batch [0199]/[0303]: acc-top1=43.726562 acc-top5=70.906250 Batch [0249]/[0303]: acc-top1=43.581250 acc-top5=71.018750 Batch [0299]/[0303]: acc-top1=43.411458 acc-top5=70.864583 [Epoch 005] training: accuracy=40.420075 loss=2.601741 [Epoch 005] speed: 66 samples/sec time cost: 3919.177756 [Epoch 005] validation: acc-top1=43.414810 acc-top5=70.812706 loss=2.549411 Epoch[006] Batch [0049]/[3760] Speed: 46.731260 samples/sec accuracy=42.531250 loss=2.533641 lr=0.010000 Epoch[006] Batch [0099]/[3760] Speed: 66.661610 samples/sec accuracy=42.750000 loss=2.528290 lr=0.010000 Epoch[006] Batch [0149]/[3760] Speed: 66.433538 samples/sec accuracy=42.791667 loss=2.518459 lr=0.010000 Epoch[006] Batch [0199]/[3760] Speed: 65.867980 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lr=0.010000 Epoch[006] Batch [2599]/[3760] Speed: 68.699922 samples/sec accuracy=42.018029 loss=2.527188 lr=0.010000 Epoch[006] Batch [2649]/[3760] Speed: 66.744395 samples/sec accuracy=42.004127 loss=2.527491 lr=0.010000 Epoch[006] Batch [2699]/[3760] Speed: 66.726362 samples/sec accuracy=42.011574 loss=2.526602 lr=0.010000 Epoch[006] Batch [2749]/[3760] Speed: 67.627339 samples/sec accuracy=42.005114 loss=2.526266 lr=0.010000 Epoch[006] Batch [2799]/[3760] Speed: 65.642612 samples/sec accuracy=41.986049 loss=2.527165 lr=0.010000 Epoch[006] Batch [2849]/[3760] Speed: 66.626301 samples/sec accuracy=41.955044 loss=2.528693 lr=0.010000 Epoch[006] Batch [2899]/[3760] Speed: 69.621749 samples/sec accuracy=41.960668 loss=2.528716 lr=0.010000 Epoch[006] Batch [2949]/[3760] Speed: 67.356584 samples/sec accuracy=41.971928 loss=2.528290 lr=0.010000 Epoch[006] Batch [2999]/[3760] Speed: 65.382846 samples/sec accuracy=41.998438 loss=2.526829 lr=0.010000 Epoch[006] Batch [3049]/[3760] Speed: 68.823742 samples/sec accuracy=41.991291 loss=2.526771 lr=0.010000 Epoch[006] Batch [3099]/[3760] Speed: 64.083365 samples/sec accuracy=42.014113 loss=2.525571 lr=0.010000 Epoch[006] Batch [3149]/[3760] Speed: 68.522302 samples/sec accuracy=42.013393 loss=2.525031 lr=0.010000 Epoch[006] Batch [3199]/[3760] Speed: 67.286687 samples/sec accuracy=42.027344 loss=2.524496 lr=0.010000 Epoch[006] Batch [3249]/[3760] Speed: 69.465063 samples/sec accuracy=42.030288 loss=2.525482 lr=0.010000 Epoch[006] Batch [3299]/[3760] Speed: 64.308871 samples/sec accuracy=42.031250 loss=2.525839 lr=0.010000 Epoch[006] Batch [3349]/[3760] Speed: 68.886654 samples/sec accuracy=42.033116 loss=2.525247 lr=0.010000 Epoch[006] Batch [3399]/[3760] Speed: 67.791082 samples/sec accuracy=42.048254 loss=2.524735 lr=0.010000 Epoch[006] Batch [3449]/[3760] Speed: 65.096032 samples/sec accuracy=42.043478 loss=2.524741 lr=0.010000 Epoch[006] Batch [3499]/[3760] Speed: 67.971887 samples/sec accuracy=42.054018 loss=2.524205 lr=0.010000 Epoch[006] Batch [3549]/[3760] Speed: 65.868282 samples/sec accuracy=42.073944 loss=2.523729 lr=0.010000 Epoch[006] Batch [3599]/[3760] Speed: 68.119088 samples/sec accuracy=42.095052 loss=2.523656 lr=0.010000 Epoch[006] Batch [3649]/[3760] Speed: 66.758146 samples/sec accuracy=42.117295 loss=2.523082 lr=0.010000 Epoch[006] Batch [3699]/[3760] Speed: 65.425051 samples/sec accuracy=42.118243 loss=2.522600 lr=0.010000 Epoch[006] Batch [3749]/[3760] Speed: 76.538748 samples/sec accuracy=42.167083 loss=2.521095 lr=0.010000 Batch [0049]/[0303]: acc-top1=46.093750 acc-top5=71.750000 Batch [0099]/[0303]: acc-top1=45.187500 acc-top5=71.437500 Batch [0149]/[0303]: acc-top1=45.333333 acc-top5=71.916667 Batch [0199]/[0303]: acc-top1=45.750000 acc-top5=72.187500 Batch [0249]/[0303]: acc-top1=45.700000 acc-top5=72.331250 Batch [0299]/[0303]: acc-top1=45.416667 acc-top5=72.093750 [Epoch 006] training: accuracy=42.161735 loss=2.521178 [Epoch 006] speed: 66 samples/sec time cost: 3912.991524 [Epoch 006] validation: acc-top1=45.425949 acc-top5=72.091584 loss=2.474816 Epoch[007] Batch [0049]/[3760] Speed: 46.459256 samples/sec accuracy=43.875000 loss=2.413219 lr=0.010000 Epoch[007] Batch [0099]/[3760] Speed: 67.552671 samples/sec accuracy=42.750000 loss=2.462813 lr=0.010000 Epoch[007] Batch [0149]/[3760] Speed: 65.851546 samples/sec accuracy=42.906250 loss=2.458277 lr=0.010000 Epoch[007] Batch [0199]/[3760] Speed: 72.884591 samples/sec accuracy=43.226562 loss=2.450408 lr=0.010000 Epoch[007] Batch [0249]/[3760] Speed: 66.906462 samples/sec accuracy=43.137500 loss=2.463715 lr=0.010000 Epoch[007] Batch [0299]/[3760] Speed: 67.716380 samples/sec accuracy=43.161458 loss=2.464450 lr=0.010000 Epoch[007] Batch [0349]/[3760] Speed: 68.608036 samples/sec accuracy=43.058036 loss=2.461614 lr=0.010000 Epoch[007] Batch [0399]/[3760] Speed: 67.489480 samples/sec accuracy=43.027344 loss=2.464980 lr=0.010000 Epoch[007] Batch [0449]/[3760] Speed: 67.564702 samples/sec accuracy=42.895833 loss=2.472411 lr=0.010000 Epoch[007] Batch [0499]/[3760] Speed: 72.349776 samples/sec accuracy=43.093750 loss=2.460589 lr=0.010000 Epoch[007] Batch [0549]/[3760] Speed: 63.786277 samples/sec accuracy=43.224432 loss=2.453613 lr=0.010000 Epoch[007] Batch [0599]/[3760] Speed: 72.845657 samples/sec accuracy=43.317708 loss=2.446145 lr=0.010000 Epoch[007] Batch [0649]/[3760] Speed: 68.454555 samples/sec accuracy=43.367788 loss=2.445953 lr=0.010000 Epoch[007] Batch [0699]/[3760] Speed: 67.318747 samples/sec accuracy=43.354911 loss=2.448184 lr=0.010000 Epoch[007] Batch [0749]/[3760] Speed: 70.282049 samples/sec accuracy=43.337500 loss=2.449921 lr=0.010000 Epoch[007] Batch [0799]/[3760] Speed: 68.581143 samples/sec accuracy=43.306641 loss=2.453707 lr=0.010000 Epoch[007] Batch [0849]/[3760] Speed: 66.058158 samples/sec accuracy=43.255515 loss=2.455324 lr=0.010000 Epoch[007] Batch [0899]/[3760] Speed: 70.375908 samples/sec accuracy=43.239583 loss=2.454266 lr=0.010000 Epoch[007] 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accuracy=43.251116 loss=2.449821 lr=0.010000 Epoch[007] Batch [1449]/[3760] Speed: 65.954561 samples/sec accuracy=43.276940 loss=2.448878 lr=0.010000 Epoch[007] Batch [1499]/[3760] Speed: 69.449042 samples/sec accuracy=43.293750 loss=2.447936 lr=0.010000 Epoch[007] Batch [1549]/[3760] Speed: 69.279756 samples/sec accuracy=43.270161 loss=2.448520 lr=0.010000 Epoch[007] Batch [1599]/[3760] Speed: 67.993625 samples/sec accuracy=43.271484 loss=2.448560 lr=0.010000 Epoch[007] Batch [1649]/[3760] Speed: 67.672294 samples/sec accuracy=43.310606 loss=2.448000 lr=0.010000 Epoch[007] Batch [1699]/[3760] Speed: 68.161441 samples/sec accuracy=43.316176 loss=2.447993 lr=0.010000 Epoch[007] Batch [1749]/[3760] Speed: 69.654589 samples/sec accuracy=43.328571 loss=2.448959 lr=0.010000 Epoch[007] Batch [1799]/[3760] Speed: 67.804111 samples/sec accuracy=43.301215 loss=2.449126 lr=0.010000 Epoch[007] Batch [1849]/[3760] Speed: 67.941482 samples/sec accuracy=43.283784 loss=2.450353 lr=0.010000 Epoch[007] 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accuracy=43.303191 loss=2.453132 lr=0.010000 Epoch[007] Batch [2399]/[3760] Speed: 68.250185 samples/sec accuracy=43.285156 loss=2.453431 lr=0.010000 Epoch[007] Batch [2449]/[3760] Speed: 66.315081 samples/sec accuracy=43.288265 loss=2.453591 lr=0.010000 Epoch[007] Batch [2499]/[3760] Speed: 69.860841 samples/sec accuracy=43.263750 loss=2.454636 lr=0.010000 Epoch[007] Batch [2549]/[3760] Speed: 69.668548 samples/sec accuracy=43.267770 loss=2.455153 lr=0.010000 Epoch[007] Batch [2599]/[3760] Speed: 66.961467 samples/sec accuracy=43.270433 loss=2.454949 lr=0.010000 Epoch[007] Batch [2649]/[3760] Speed: 69.470652 samples/sec accuracy=43.288325 loss=2.455144 lr=0.010000 Epoch[007] Batch [2699]/[3760] Speed: 70.792284 samples/sec accuracy=43.284144 loss=2.455175 lr=0.010000 Epoch[007] Batch [2749]/[3760] Speed: 67.412162 samples/sec accuracy=43.274432 loss=2.455821 lr=0.010000 Epoch[007] Batch [2799]/[3760] Speed: 68.451893 samples/sec accuracy=43.265625 loss=2.455764 lr=0.010000 Epoch[007] 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accuracy=43.361269 loss=2.452060 lr=0.010000 Epoch[007] Batch [3349]/[3760] Speed: 69.715349 samples/sec accuracy=43.347481 loss=2.452615 lr=0.010000 Epoch[007] Batch [3399]/[3760] Speed: 68.812669 samples/sec accuracy=43.328125 loss=2.452643 lr=0.010000 Epoch[007] Batch [3449]/[3760] Speed: 68.974101 samples/sec accuracy=43.337862 loss=2.453033 lr=0.010000 Epoch[007] Batch [3499]/[3760] Speed: 69.162639 samples/sec accuracy=43.341964 loss=2.451995 lr=0.010000 Epoch[007] Batch [3549]/[3760] Speed: 66.727691 samples/sec accuracy=43.355194 loss=2.451030 lr=0.010000 Epoch[007] Batch [3599]/[3760] Speed: 69.686703 samples/sec accuracy=43.339410 loss=2.451809 lr=0.010000 Epoch[007] Batch [3649]/[3760] Speed: 68.638617 samples/sec accuracy=43.353596 loss=2.451913 lr=0.010000 Epoch[007] Batch [3699]/[3760] Speed: 69.342656 samples/sec accuracy=43.341216 loss=2.452272 lr=0.010000 Epoch[007] Batch [3749]/[3760] Speed: 76.269701 samples/sec accuracy=43.340417 loss=2.451739 lr=0.010000 Batch [0049]/[0303]: acc-top1=46.375000 acc-top5=72.500000 Batch [0099]/[0303]: acc-top1=45.968750 acc-top5=72.500000 Batch [0149]/[0303]: acc-top1=46.479167 acc-top5=72.875000 Batch [0199]/[0303]: acc-top1=46.812500 acc-top5=73.203125 Batch [0249]/[0303]: acc-top1=46.893750 acc-top5=73.300000 Batch [0299]/[0303]: acc-top1=46.546875 acc-top5=73.083333 [Epoch 007] training: accuracy=43.338182 loss=2.451599 [Epoch 007] speed: 68 samples/sec time cost: 3837.798260 [Epoch 007] validation: acc-top1=46.544967 acc-top5=73.071370 loss=2.458205 Epoch[008] Batch [0049]/[3759] Speed: 47.642556 samples/sec accuracy=45.906250 loss=2.332233 lr=0.010000 Epoch[008] Batch [0099]/[3759] Speed: 69.993197 samples/sec accuracy=45.546875 loss=2.350630 lr=0.010000 Epoch[008] Batch [0149]/[3759] Speed: 66.788415 samples/sec accuracy=45.312500 loss=2.346339 lr=0.010000 Epoch[008] Batch [0199]/[3759] Speed: 69.096422 samples/sec accuracy=45.117188 loss=2.349392 lr=0.010000 Epoch[008] Batch [0249]/[3759] Speed: 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lr=0.010000 Epoch[008] Batch [3599]/[3759] Speed: 68.418930 samples/sec accuracy=44.665365 loss=2.390744 lr=0.010000 Epoch[008] Batch [3649]/[3759] Speed: 69.311111 samples/sec accuracy=44.657106 loss=2.391201 lr=0.010000 Epoch[008] Batch [3699]/[3759] Speed: 68.593468 samples/sec accuracy=44.654983 loss=2.391903 lr=0.010000 Epoch[008] Batch [3749]/[3759] Speed: 75.150582 samples/sec accuracy=44.661250 loss=2.392230 lr=0.010000 Batch [0049]/[0303]: acc-top1=47.343750 acc-top5=73.937500 Batch [0099]/[0303]: acc-top1=46.437500 acc-top5=73.656250 Batch [0149]/[0303]: acc-top1=46.718750 acc-top5=73.958333 Batch [0199]/[0303]: acc-top1=46.796875 acc-top5=74.140625 Batch [0249]/[0303]: acc-top1=46.837500 acc-top5=74.175000 Batch [0299]/[0303]: acc-top1=46.750000 acc-top5=73.822917 [Epoch 008] training: accuracy=44.662809 loss=2.392111 [Epoch 008] speed: 68 samples/sec time cost: 3820.568052 [Epoch 008] validation: acc-top1=46.771865 acc-top5=73.788160 loss=2.402559 Epoch[009] Batch 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accuracy=45.669271 loss=2.341788 lr=0.010000 Epoch[009] Batch [2449]/[3760] Speed: 68.615650 samples/sec accuracy=45.685587 loss=2.341937 lr=0.010000 Epoch[009] Batch [2499]/[3760] Speed: 67.648453 samples/sec accuracy=45.662500 loss=2.343229 lr=0.010000 Epoch[009] Batch [2549]/[3760] Speed: 70.654746 samples/sec accuracy=45.692402 loss=2.342765 lr=0.010000 Epoch[009] Batch [2599]/[3760] Speed: 68.329695 samples/sec accuracy=45.694712 loss=2.342325 lr=0.010000 Epoch[009] Batch [2649]/[3760] Speed: 67.398896 samples/sec accuracy=45.694575 loss=2.342685 lr=0.010000 Epoch[009] Batch [2699]/[3760] Speed: 69.418018 samples/sec accuracy=45.718171 loss=2.342002 lr=0.010000 Epoch[009] Batch [2749]/[3760] Speed: 68.404112 samples/sec accuracy=45.715341 loss=2.341027 lr=0.010000 Epoch[009] Batch [2799]/[3760] Speed: 71.029132 samples/sec accuracy=45.689732 loss=2.342337 lr=0.010000 Epoch[009] Batch [2849]/[3760] Speed: 68.361602 samples/sec accuracy=45.698465 loss=2.342166 lr=0.010000 Epoch[009] 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accuracy=45.768190 loss=2.339482 lr=0.010000 Epoch[009] Batch [3399]/[3760] Speed: 67.968259 samples/sec accuracy=45.768382 loss=2.339642 lr=0.010000 Epoch[009] Batch [3449]/[3760] Speed: 69.590134 samples/sec accuracy=45.772645 loss=2.338568 lr=0.010000 Epoch[009] Batch [3499]/[3760] Speed: 69.382921 samples/sec accuracy=45.757143 loss=2.339201 lr=0.010000 Epoch[009] Batch [3549]/[3760] Speed: 66.252188 samples/sec accuracy=45.769806 loss=2.339299 lr=0.010000 Epoch[009] Batch [3599]/[3760] Speed: 67.604069 samples/sec accuracy=45.740017 loss=2.340743 lr=0.010000 Epoch[009] Batch [3649]/[3760] Speed: 68.826137 samples/sec accuracy=45.732021 loss=2.341099 lr=0.010000 Epoch[009] Batch [3699]/[3760] Speed: 72.392363 samples/sec accuracy=45.754223 loss=2.340362 lr=0.010000 Epoch[009] Batch [3749]/[3760] Speed: 76.600518 samples/sec accuracy=45.750833 loss=2.339984 lr=0.010000 Batch [0049]/[0303]: acc-top1=48.312500 acc-top5=74.562500 Batch [0099]/[0303]: acc-top1=47.937500 acc-top5=74.281250 Batch [0149]/[0303]: acc-top1=48.645833 acc-top5=74.885417 Batch [0199]/[0303]: acc-top1=49.046875 acc-top5=74.929688 Batch [0249]/[0303]: acc-top1=49.068750 acc-top5=75.106250 Batch [0299]/[0303]: acc-top1=48.708333 acc-top5=74.760417 [Epoch 009] training: accuracy=45.751745 loss=2.339994 [Epoch 009] speed: 68 samples/sec time cost: 3813.492530 [Epoch 009] validation: acc-top1=48.741749 acc-top5=74.726691 loss=2.281452 Epoch[010] Batch [0049]/[3760] Speed: 47.997144 samples/sec accuracy=46.375000 loss=2.321493 lr=0.010000 Epoch[010] Batch [0099]/[3760] Speed: 65.770643 samples/sec accuracy=46.359375 loss=2.324095 lr=0.010000 Epoch[010] Batch [0149]/[3760] Speed: 70.201101 samples/sec accuracy=46.645833 loss=2.306073 lr=0.010000 Epoch[010] Batch [0199]/[3760] Speed: 68.570926 samples/sec accuracy=46.335938 loss=2.316041 lr=0.010000 Epoch[010] Batch [0249]/[3760] Speed: 69.350277 samples/sec accuracy=46.243750 loss=2.308294 lr=0.010000 Epoch[010] Batch [0299]/[3760] 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accuracy=46.477941 loss=2.299822 lr=0.010000 Epoch[010] Batch [1749]/[3760] Speed: 68.154374 samples/sec accuracy=46.469643 loss=2.300091 lr=0.010000 Epoch[010] Batch [1799]/[3760] Speed: 69.766182 samples/sec accuracy=46.433160 loss=2.301417 lr=0.010000 Epoch[010] Batch [1849]/[3760] Speed: 70.057779 samples/sec accuracy=46.401182 loss=2.300927 lr=0.010000 Epoch[010] Batch [1899]/[3760] Speed: 69.308484 samples/sec accuracy=46.425987 loss=2.300863 lr=0.010000 Epoch[010] Batch [1949]/[3760] Speed: 69.959754 samples/sec accuracy=46.435096 loss=2.300528 lr=0.010000 Epoch[010] Batch [1999]/[3760] Speed: 67.655190 samples/sec accuracy=46.435938 loss=2.299544 lr=0.010000 Epoch[010] Batch [2049]/[3760] Speed: 69.552874 samples/sec accuracy=46.408537 loss=2.300209 lr=0.010000 Epoch[010] Batch [2099]/[3760] Speed: 70.234212 samples/sec accuracy=46.404762 loss=2.300440 lr=0.010000 Epoch[010] Batch [2149]/[3760] Speed: 68.154042 samples/sec accuracy=46.446221 loss=2.299671 lr=0.010000 Epoch[010] 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accuracy=46.532429 loss=2.295179 lr=0.010000 Epoch[010] Batch [2699]/[3760] Speed: 69.614008 samples/sec accuracy=46.517940 loss=2.296200 lr=0.010000 Epoch[010] Batch [2749]/[3760] Speed: 69.736285 samples/sec accuracy=46.517045 loss=2.296133 lr=0.010000 Epoch[010] Batch [2799]/[3760] Speed: 66.832495 samples/sec accuracy=46.508929 loss=2.296730 lr=0.010000 Epoch[010] Batch [2849]/[3760] Speed: 71.063986 samples/sec accuracy=46.504934 loss=2.297429 lr=0.010000 Epoch[010] Batch [2899]/[3760] Speed: 69.625242 samples/sec accuracy=46.495151 loss=2.297792 lr=0.010000 Epoch[010] Batch [2949]/[3760] Speed: 66.676493 samples/sec accuracy=46.490466 loss=2.297431 lr=0.010000 Epoch[010] Batch [2999]/[3760] Speed: 71.349964 samples/sec accuracy=46.497917 loss=2.297550 lr=0.010000 Epoch[010] Batch [3049]/[3760] Speed: 69.546580 samples/sec accuracy=46.503586 loss=2.297878 lr=0.010000 Epoch[010] Batch [3099]/[3760] Speed: 68.075709 samples/sec accuracy=46.487903 loss=2.298745 lr=0.010000 Epoch[010] 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accuracy=46.513021 loss=2.297277 lr=0.010000 Epoch[010] Batch [3649]/[3760] Speed: 68.462173 samples/sec accuracy=46.525685 loss=2.296798 lr=0.010000 Epoch[010] Batch [3699]/[3760] Speed: 70.379342 samples/sec accuracy=46.521115 loss=2.297138 lr=0.010000 Epoch[010] Batch [3749]/[3760] Speed: 76.776468 samples/sec accuracy=46.517917 loss=2.297260 lr=0.010000 Batch [0049]/[0303]: acc-top1=49.250000 acc-top5=74.125000 Batch [0099]/[0303]: acc-top1=48.296875 acc-top5=73.828125 Batch [0149]/[0303]: acc-top1=48.916667 acc-top5=74.468750 Batch [0199]/[0303]: acc-top1=48.953125 acc-top5=74.625000 Batch [0249]/[0303]: acc-top1=49.006250 acc-top5=74.843750 Batch [0299]/[0303]: acc-top1=48.791667 acc-top5=74.447917 [Epoch 010] training: accuracy=46.510971 loss=2.297359 [Epoch 010] speed: 68 samples/sec time cost: 3800.887541 [Epoch 010] validation: acc-top1=48.788160 acc-top5=74.406972 loss=2.329944 Epoch[011] Batch [0049]/[3759] Speed: 47.441159 samples/sec accuracy=47.062500 loss=2.235708 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lr=0.010000 Epoch[011] Batch [2949]/[3759] Speed: 69.961971 samples/sec accuracy=47.326271 loss=2.253770 lr=0.010000 Epoch[011] Batch [2999]/[3759] Speed: 68.931729 samples/sec accuracy=47.341667 loss=2.253710 lr=0.010000 Epoch[011] Batch [3049]/[3759] Speed: 69.028674 samples/sec accuracy=47.337602 loss=2.254690 lr=0.010000 Epoch[011] Batch [3099]/[3759] Speed: 70.565072 samples/sec accuracy=47.345262 loss=2.254453 lr=0.010000 Epoch[011] Batch [3149]/[3759] Speed: 67.624541 samples/sec accuracy=47.334325 loss=2.255368 lr=0.010000 Epoch[011] Batch [3199]/[3759] Speed: 69.981390 samples/sec accuracy=47.335938 loss=2.255773 lr=0.010000 Epoch[011] Batch [3249]/[3759] Speed: 70.780476 samples/sec accuracy=47.327885 loss=2.256663 lr=0.010000 Epoch[011] Batch [3299]/[3759] Speed: 68.767016 samples/sec accuracy=47.345644 loss=2.256714 lr=0.010000 Epoch[011] Batch [3349]/[3759] Speed: 67.565006 samples/sec accuracy=47.330224 loss=2.257312 lr=0.010000 Epoch[011] Batch [3399]/[3759] Speed: 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acc-top1=49.484375 acc-top5=75.218750 Batch [0249]/[0303]: acc-top1=49.512500 acc-top5=75.243750 Batch [0299]/[0303]: acc-top1=49.442708 acc-top5=74.932292 [Epoch 011] training: accuracy=47.269886 loss=2.261113 [Epoch 011] speed: 69 samples/sec time cost: 3791.915097 [Epoch 011] validation: acc-top1=49.437913 acc-top5=74.876238 loss=2.303145 Epoch[012] Batch [0049]/[3760] Speed: 48.290884 samples/sec accuracy=47.625000 loss=2.243705 lr=0.010000 Epoch[012] Batch [0099]/[3760] Speed: 69.520273 samples/sec accuracy=47.843750 loss=2.214010 lr=0.010000 Epoch[012] Batch [0149]/[3760] Speed: 67.506284 samples/sec accuracy=48.635417 loss=2.187747 lr=0.010000 Epoch[012] Batch [0199]/[3760] Speed: 69.935439 samples/sec accuracy=48.234375 loss=2.213434 lr=0.010000 Epoch[012] Batch [0249]/[3760] Speed: 67.936783 samples/sec accuracy=48.281250 loss=2.223307 lr=0.010000 Epoch[012] Batch [0299]/[3760] Speed: 70.229956 samples/sec accuracy=48.192708 loss=2.227942 lr=0.010000 Epoch[012] Batch 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accuracy=48.161458 loss=2.224406 lr=0.010000 Epoch[012] Batch [2749]/[3760] Speed: 72.787624 samples/sec accuracy=48.151705 loss=2.224857 lr=0.010000 Epoch[012] Batch [2799]/[3760] Speed: 69.219522 samples/sec accuracy=48.141741 loss=2.225110 lr=0.010000 Epoch[012] Batch [2849]/[3760] Speed: 70.969156 samples/sec accuracy=48.163377 loss=2.225634 lr=0.010000 Epoch[012] Batch [2899]/[3760] Speed: 66.770564 samples/sec accuracy=48.149784 loss=2.225610 lr=0.010000 Epoch[012] Batch [2949]/[3760] Speed: 69.643439 samples/sec accuracy=48.147775 loss=2.225506 lr=0.010000 Epoch[012] Batch [2999]/[3760] Speed: 71.623254 samples/sec accuracy=48.153125 loss=2.226151 lr=0.010000 Epoch[012] Batch [3049]/[3760] Speed: 68.674709 samples/sec accuracy=48.132172 loss=2.227673 lr=0.010000 Epoch[012] Batch [3099]/[3760] Speed: 69.243857 samples/sec accuracy=48.129032 loss=2.227433 lr=0.010000 Epoch[012] Batch [3149]/[3760] Speed: 69.371244 samples/sec accuracy=48.122024 loss=2.227516 lr=0.010000 Epoch[012] 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accuracy=48.081764 loss=2.227921 lr=0.010000 Epoch[012] Batch [3699]/[3760] Speed: 69.815536 samples/sec accuracy=48.079392 loss=2.227311 lr=0.010000 Epoch[012] Batch [3749]/[3760] Speed: 77.143746 samples/sec accuracy=48.083333 loss=2.226897 lr=0.010000 Batch [0049]/[0303]: acc-top1=49.031250 acc-top5=75.468750 Batch [0099]/[0303]: acc-top1=49.437500 acc-top5=75.375000 Batch [0149]/[0303]: acc-top1=49.906250 acc-top5=75.656250 Batch [0199]/[0303]: acc-top1=49.953125 acc-top5=75.914062 Batch [0249]/[0303]: acc-top1=50.031250 acc-top5=76.118750 Batch [0299]/[0303]: acc-top1=49.786458 acc-top5=75.864583 [Epoch 012] training: accuracy=48.082197 loss=2.227053 [Epoch 012] speed: 69 samples/sec time cost: 3786.765672 [Epoch 012] validation: acc-top1=49.762789 acc-top5=75.835396 loss=2.248447 Epoch[013] Batch [0049]/[3760] Speed: 47.884078 samples/sec accuracy=49.000000 loss=2.194573 lr=0.010000 Epoch[013] Batch [0099]/[3760] Speed: 69.108358 samples/sec accuracy=48.968750 loss=2.175473 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lr=0.010000 Epoch[013] Batch [2999]/[3760] Speed: 71.534081 samples/sec accuracy=48.583333 loss=2.198810 lr=0.010000 Epoch[013] Batch [3049]/[3760] Speed: 67.984987 samples/sec accuracy=48.605533 loss=2.198433 lr=0.010000 Epoch[013] Batch [3099]/[3760] Speed: 70.296749 samples/sec accuracy=48.609879 loss=2.197821 lr=0.010000 Epoch[013] Batch [3149]/[3760] Speed: 68.302733 samples/sec accuracy=48.604167 loss=2.197634 lr=0.010000 Epoch[013] Batch [3199]/[3760] Speed: 70.917795 samples/sec accuracy=48.598145 loss=2.197394 lr=0.010000 Epoch[013] Batch [3249]/[3760] Speed: 67.802729 samples/sec accuracy=48.611058 loss=2.196472 lr=0.010000 Epoch[013] Batch [3299]/[3760] Speed: 71.588293 samples/sec accuracy=48.575284 loss=2.198068 lr=0.010000 Epoch[013] Batch [3349]/[3760] Speed: 68.523584 samples/sec accuracy=48.550840 loss=2.199627 lr=0.010000 Epoch[013] Batch [3399]/[3760] Speed: 69.816034 samples/sec accuracy=48.559743 loss=2.199260 lr=0.010000 Epoch[013] Batch [3449]/[3760] Speed: 70.405650 samples/sec accuracy=48.552083 loss=2.199822 lr=0.010000 Epoch[013] Batch [3499]/[3760] Speed: 69.978753 samples/sec accuracy=48.514732 loss=2.200121 lr=0.010000 Epoch[013] Batch [3549]/[3760] Speed: 70.836993 samples/sec accuracy=48.500000 loss=2.200999 lr=0.010000 Epoch[013] Batch [3599]/[3760] Speed: 68.023888 samples/sec accuracy=48.519965 loss=2.200300 lr=0.010000 Epoch[013] Batch [3649]/[3760] Speed: 70.872749 samples/sec accuracy=48.518836 loss=2.200384 lr=0.010000 Epoch[013] Batch [3699]/[3760] Speed: 68.832698 samples/sec accuracy=48.543074 loss=2.199044 lr=0.010000 Epoch[013] Batch [3749]/[3760] Speed: 78.641376 samples/sec accuracy=48.535417 loss=2.199589 lr=0.010000 Batch [0049]/[0303]: acc-top1=50.718750 acc-top5=75.562500 Batch [0099]/[0303]: acc-top1=50.250000 acc-top5=75.281250 Batch [0149]/[0303]: acc-top1=50.395833 acc-top5=75.958333 Batch [0199]/[0303]: acc-top1=50.500000 acc-top5=76.117188 Batch [0249]/[0303]: acc-top1=50.693750 acc-top5=76.375000 Batch [0299]/[0303]: acc-top1=50.557292 acc-top5=76.223958 [Epoch 013] training: accuracy=48.533910 loss=2.199480 [Epoch 013] speed: 69 samples/sec time cost: 3769.272954 [Epoch 013] validation: acc-top1=50.562087 acc-top5=76.191213 loss=2.191052 Epoch[014] Batch [0049]/[3759] Speed: 48.358251 samples/sec accuracy=50.218750 loss=2.093772 lr=0.010000 Epoch[014] Batch [0099]/[3759] Speed: 67.441073 samples/sec accuracy=49.937500 loss=2.107116 lr=0.010000 Epoch[014] Batch [0149]/[3759] Speed: 69.318509 samples/sec accuracy=49.645833 loss=2.131253 lr=0.010000 Epoch[014] Batch [0199]/[3759] Speed: 69.020279 samples/sec accuracy=49.203125 loss=2.144759 lr=0.010000 Epoch[014] Batch [0249]/[3759] Speed: 69.724353 samples/sec accuracy=49.168750 loss=2.148720 lr=0.010000 Epoch[014] Batch [0299]/[3759] Speed: 70.431035 samples/sec accuracy=49.145833 loss=2.148132 lr=0.010000 Epoch[014] Batch [0349]/[3759] Speed: 68.337270 samples/sec accuracy=49.125000 loss=2.151524 lr=0.010000 Epoch[014] Batch 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accuracy=49.207721 loss=2.152566 lr=0.010000 Epoch[014] Batch [0899]/[3759] Speed: 67.192195 samples/sec accuracy=49.229167 loss=2.152869 lr=0.010000 Epoch[014] Batch [0949]/[3759] Speed: 71.666128 samples/sec accuracy=49.223684 loss=2.155848 lr=0.010000 Epoch[014] Batch [0999]/[3759] Speed: 70.180131 samples/sec accuracy=49.223438 loss=2.156702 lr=0.010000 Epoch[014] Batch [1049]/[3759] Speed: 70.101551 samples/sec accuracy=49.270833 loss=2.158168 lr=0.010000 Epoch[014] Batch [1099]/[3759] Speed: 69.106379 samples/sec accuracy=49.262784 loss=2.159701 lr=0.010000 Epoch[014] Batch [1149]/[3759] Speed: 69.872773 samples/sec accuracy=49.319293 loss=2.158636 lr=0.010000 Epoch[014] Batch [1199]/[3759] Speed: 68.924532 samples/sec accuracy=49.320312 loss=2.158457 lr=0.010000 Epoch[014] Batch [1249]/[3759] Speed: 68.924448 samples/sec accuracy=49.342500 loss=2.158023 lr=0.010000 Epoch[014] Batch [1299]/[3759] Speed: 69.477191 samples/sec accuracy=49.302885 loss=2.158994 lr=0.010000 Epoch[014] 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accuracy=49.313368 loss=2.162833 lr=0.010000 Epoch[014] Batch [1849]/[3759] Speed: 70.249577 samples/sec accuracy=49.334459 loss=2.161988 lr=0.010000 Epoch[014] Batch [1899]/[3759] Speed: 69.437867 samples/sec accuracy=49.301809 loss=2.162056 lr=0.010000 Epoch[014] Batch [1949]/[3759] Speed: 67.986253 samples/sec accuracy=49.294872 loss=2.162692 lr=0.010000 Epoch[014] Batch [1999]/[3759] Speed: 70.405830 samples/sec accuracy=49.295313 loss=2.162933 lr=0.010000 Epoch[014] Batch [2049]/[3759] Speed: 69.764985 samples/sec accuracy=49.307165 loss=2.163409 lr=0.010000 Epoch[014] Batch [2099]/[3759] Speed: 70.247352 samples/sec accuracy=49.316964 loss=2.163490 lr=0.010000 Epoch[014] Batch [2149]/[3759] Speed: 69.643161 samples/sec accuracy=49.311773 loss=2.163871 lr=0.010000 Epoch[014] Batch [2199]/[3759] Speed: 69.828872 samples/sec accuracy=49.343750 loss=2.163713 lr=0.010000 Epoch[014] Batch [2249]/[3759] Speed: 70.561683 samples/sec accuracy=49.313889 loss=2.165225 lr=0.010000 Epoch[014] 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accuracy=49.258523 loss=2.170691 lr=0.010000 Epoch[014] Batch [2799]/[3759] Speed: 70.908143 samples/sec accuracy=49.232701 loss=2.170571 lr=0.010000 Epoch[014] Batch [2849]/[3759] Speed: 70.412793 samples/sec accuracy=49.250000 loss=2.169703 lr=0.010000 Epoch[014] Batch [2899]/[3759] Speed: 68.367331 samples/sec accuracy=49.252694 loss=2.170069 lr=0.010000 Epoch[014] Batch [2949]/[3759] Speed: 70.287614 samples/sec accuracy=49.224576 loss=2.170819 lr=0.010000 Epoch[014] Batch [2999]/[3759] Speed: 70.910589 samples/sec accuracy=49.216146 loss=2.171306 lr=0.010000 Epoch[014] Batch [3049]/[3759] Speed: 70.003109 samples/sec accuracy=49.188012 loss=2.171888 lr=0.010000 Epoch[014] Batch [3099]/[3759] Speed: 68.938074 samples/sec accuracy=49.171371 loss=2.172426 lr=0.010000 Epoch[014] Batch [3149]/[3759] Speed: 69.494536 samples/sec accuracy=49.172123 loss=2.172863 lr=0.010000 Epoch[014] Batch [3199]/[3759] Speed: 70.226343 samples/sec accuracy=49.175293 loss=2.172386 lr=0.010000 Epoch[014] 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accuracy=49.073902 loss=2.175176 lr=0.010000 Epoch[014] Batch [3749]/[3759] Speed: 77.613572 samples/sec accuracy=49.057500 loss=2.175501 lr=0.010000 Batch [0049]/[0303]: acc-top1=50.281250 acc-top5=76.250000 Batch [0099]/[0303]: acc-top1=50.656250 acc-top5=76.140625 Batch [0149]/[0303]: acc-top1=50.854167 acc-top5=76.395833 Batch [0199]/[0303]: acc-top1=51.132812 acc-top5=76.585938 Batch [0249]/[0303]: acc-top1=50.937500 acc-top5=76.756250 Batch [0299]/[0303]: acc-top1=50.609375 acc-top5=76.515625 [Epoch 014] training: accuracy=49.060588 loss=2.175249 [Epoch 014] speed: 69 samples/sec time cost: 3769.769041 [Epoch 014] validation: acc-top1=50.572401 acc-top5=76.469678 loss=2.194599 Epoch[015] Batch [0049]/[3760] Speed: 47.776765 samples/sec accuracy=50.218750 loss=2.167443 lr=0.010000 Epoch[015] Batch [0099]/[3760] Speed: 69.809745 samples/sec accuracy=50.203125 loss=2.149319 lr=0.010000 Epoch[015] Batch [0149]/[3760] Speed: 69.247509 samples/sec accuracy=50.291667 loss=2.137203 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lr=0.010000 Epoch[015] Batch [2099]/[3760] Speed: 70.746773 samples/sec accuracy=49.607143 loss=2.146710 lr=0.010000 Epoch[015] Batch [2149]/[3760] Speed: 67.669554 samples/sec accuracy=49.656977 loss=2.144710 lr=0.010000 Epoch[015] Batch [2199]/[3760] Speed: 69.767457 samples/sec accuracy=49.706676 loss=2.142775 lr=0.010000 Epoch[015] Batch [2249]/[3760] Speed: 68.627404 samples/sec accuracy=49.697222 loss=2.143703 lr=0.010000 Epoch[015] Batch [2299]/[3760] Speed: 71.055397 samples/sec accuracy=49.721467 loss=2.144373 lr=0.010000 Epoch[015] Batch [2349]/[3760] Speed: 70.463393 samples/sec accuracy=49.740027 loss=2.143928 lr=0.010000 Epoch[015] Batch [2399]/[3760] Speed: 67.969136 samples/sec accuracy=49.753255 loss=2.143667 lr=0.010000 Epoch[015] Batch [2449]/[3760] Speed: 68.513301 samples/sec accuracy=49.776148 loss=2.142848 lr=0.010000 Epoch[015] Batch [2499]/[3760] Speed: 68.094456 samples/sec accuracy=49.745000 loss=2.144581 lr=0.010000 Epoch[015] Batch [2549]/[3760] Speed: 71.079005 samples/sec accuracy=49.735294 loss=2.144630 lr=0.010000 Epoch[015] Batch [2599]/[3760] Speed: 69.573736 samples/sec accuracy=49.730769 loss=2.145477 lr=0.010000 Epoch[015] Batch [2649]/[3760] Speed: 70.305749 samples/sec accuracy=49.728184 loss=2.145821 lr=0.010000 Epoch[015] Batch [2699]/[3760] Speed: 69.560541 samples/sec accuracy=49.717593 loss=2.146548 lr=0.010000 Epoch[015] Batch [2749]/[3760] Speed: 69.767144 samples/sec accuracy=49.707386 loss=2.146372 lr=0.010000 Epoch[015] Batch [2799]/[3760] Speed: 69.740649 samples/sec accuracy=49.691406 loss=2.147001 lr=0.010000 Epoch[015] Batch [2849]/[3760] Speed: 68.092393 samples/sec accuracy=49.698465 loss=2.146721 lr=0.010000 Epoch[015] Batch [2899]/[3760] Speed: 70.383017 samples/sec accuracy=49.720905 loss=2.145979 lr=0.010000 Epoch[015] Batch [2949]/[3760] Speed: 68.318596 samples/sec accuracy=49.704979 loss=2.146673 lr=0.010000 Epoch[015] Batch [2999]/[3760] Speed: 70.464841 samples/sec accuracy=49.708333 loss=2.146999 lr=0.010000 Epoch[015] Batch [3049]/[3760] Speed: 69.445322 samples/sec accuracy=49.723873 loss=2.146490 lr=0.010000 Epoch[015] Batch [3099]/[3760] Speed: 70.351250 samples/sec accuracy=49.746472 loss=2.146146 lr=0.010000 Epoch[015] Batch [3149]/[3760] Speed: 68.935243 samples/sec accuracy=49.699405 loss=2.147331 lr=0.010000 Epoch[015] Batch [3199]/[3760] Speed: 69.396841 samples/sec accuracy=49.716797 loss=2.146733 lr=0.010000 Epoch[015] Batch [3249]/[3760] Speed: 70.268801 samples/sec accuracy=49.704808 loss=2.146637 lr=0.010000 Epoch[015] Batch [3299]/[3760] Speed: 67.149238 samples/sec accuracy=49.690814 loss=2.146866 lr=0.010000 Epoch[015] Batch [3349]/[3760] Speed: 71.319737 samples/sec accuracy=49.680504 loss=2.147777 lr=0.010000 Epoch[015] Batch [3399]/[3760] Speed: 66.712444 samples/sec accuracy=49.676930 loss=2.147813 lr=0.010000 Epoch[015] Batch [3449]/[3760] Speed: 71.958330 samples/sec accuracy=49.659420 loss=2.148946 lr=0.010000 Epoch[015] Batch [3499]/[3760] Speed: 70.519458 samples/sec accuracy=49.639286 loss=2.149682 lr=0.010000 Epoch[015] Batch [3549]/[3760] Speed: 69.294346 samples/sec accuracy=49.643486 loss=2.149519 lr=0.010000 Epoch[015] Batch [3599]/[3760] Speed: 68.842986 samples/sec accuracy=49.647569 loss=2.148769 lr=0.010000 Epoch[015] Batch [3649]/[3760] Speed: 69.647014 samples/sec accuracy=49.649401 loss=2.147760 lr=0.010000 Epoch[015] Batch [3699]/[3760] Speed: 69.555383 samples/sec accuracy=49.638091 loss=2.147874 lr=0.010000 Epoch[015] Batch [3749]/[3760] Speed: 77.681504 samples/sec accuracy=49.634167 loss=2.148097 lr=0.010000 Batch [0049]/[0303]: acc-top1=51.187500 acc-top5=76.906250 Batch [0099]/[0303]: acc-top1=51.187500 acc-top5=76.671875 Batch [0149]/[0303]: acc-top1=51.260417 acc-top5=77.062500 Batch [0199]/[0303]: acc-top1=51.625000 acc-top5=77.109375 Batch [0249]/[0303]: acc-top1=51.843750 acc-top5=77.137500 Batch [0299]/[0303]: acc-top1=51.604167 acc-top5=76.890625 [Epoch 015] training: accuracy=49.630984 loss=2.148328 [Epoch 015] speed: 69 samples/sec time cost: 3775.031940 [Epoch 015] validation: acc-top1=51.567657 acc-top5=76.882219 loss=2.169240 Epoch[016] Batch [0049]/[3760] Speed: 48.133803 samples/sec accuracy=50.906250 loss=2.108713 lr=0.010000 Epoch[016] Batch [0099]/[3760] Speed: 69.111038 samples/sec accuracy=50.578125 loss=2.112152 lr=0.010000 Epoch[016] Batch [0149]/[3760] Speed: 67.435257 samples/sec accuracy=51.020833 loss=2.090357 lr=0.010000 Epoch[016] Batch [0199]/[3760] Speed: 69.463035 samples/sec accuracy=50.851562 loss=2.092385 lr=0.010000 Epoch[016] Batch [0249]/[3760] Speed: 70.328501 samples/sec accuracy=50.812500 loss=2.096883 lr=0.010000 Epoch[016] Batch [0299]/[3760] Speed: 70.238410 samples/sec accuracy=50.468750 loss=2.109928 lr=0.010000 Epoch[016] Batch [0349]/[3760] Speed: 68.551231 samples/sec accuracy=50.477679 loss=2.107290 lr=0.010000 Epoch[016] Batch [0399]/[3760] Speed: 70.258271 samples/sec accuracy=50.675781 loss=2.104412 lr=0.010000 Epoch[016] Batch 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accuracy=50.763889 loss=2.104822 lr=0.010000 Epoch[016] Batch [0949]/[3760] Speed: 69.638728 samples/sec accuracy=50.685855 loss=2.107311 lr=0.010000 Epoch[016] Batch [0999]/[3760] Speed: 69.099523 samples/sec accuracy=50.709375 loss=2.106038 lr=0.010000 Epoch[016] Batch [1049]/[3760] Speed: 69.561239 samples/sec accuracy=50.739583 loss=2.104300 lr=0.010000 Epoch[016] Batch [1099]/[3760] Speed: 70.347854 samples/sec accuracy=50.717330 loss=2.104766 lr=0.010000 Epoch[016] Batch [1149]/[3760] Speed: 68.124156 samples/sec accuracy=50.730978 loss=2.103732 lr=0.010000 Epoch[016] Batch [1199]/[3760] Speed: 69.761286 samples/sec accuracy=50.701823 loss=2.104068 lr=0.010000 Epoch[016] Batch [1249]/[3760] Speed: 70.250575 samples/sec accuracy=50.665000 loss=2.105381 lr=0.010000 Epoch[016] Batch [1299]/[3760] Speed: 68.714762 samples/sec accuracy=50.610577 loss=2.107310 lr=0.010000 Epoch[016] Batch [1349]/[3760] Speed: 69.643270 samples/sec accuracy=50.570602 loss=2.108468 lr=0.010000 Epoch[016] 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accuracy=50.524493 loss=2.111852 lr=0.010000 Epoch[016] Batch [1899]/[3760] Speed: 71.727106 samples/sec accuracy=50.504112 loss=2.112438 lr=0.010000 Epoch[016] Batch [1949]/[3760] Speed: 67.145131 samples/sec accuracy=50.475160 loss=2.113510 lr=0.010000 Epoch[016] Batch [1999]/[3760] Speed: 71.553884 samples/sec accuracy=50.446094 loss=2.114065 lr=0.010000 Epoch[016] Batch [2049]/[3760] Speed: 70.307166 samples/sec accuracy=50.457317 loss=2.113999 lr=0.010000 Epoch[016] Batch [2099]/[3760] Speed: 69.447189 samples/sec accuracy=50.410714 loss=2.115780 lr=0.010000 Epoch[016] Batch [2149]/[3760] Speed: 67.198985 samples/sec accuracy=50.413517 loss=2.116259 lr=0.010000 Epoch[016] Batch [2199]/[3760] Speed: 71.540191 samples/sec accuracy=50.400568 loss=2.117338 lr=0.010000 Epoch[016] Batch [2249]/[3760] Speed: 69.782494 samples/sec accuracy=50.372222 loss=2.118993 lr=0.010000 Epoch[016] Batch [2299]/[3760] Speed: 69.339024 samples/sec accuracy=50.336957 loss=2.120603 lr=0.010000 Epoch[016] 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accuracy=50.223772 loss=2.124685 lr=0.010000 Epoch[016] Batch [2849]/[3760] Speed: 65.332821 samples/sec accuracy=50.237939 loss=2.123811 lr=0.010000 Epoch[016] Batch [2899]/[3760] Speed: 72.675777 samples/sec accuracy=50.215517 loss=2.124592 lr=0.010000 Epoch[016] Batch [2949]/[3760] Speed: 69.255325 samples/sec accuracy=50.211335 loss=2.124600 lr=0.010000 Epoch[016] Batch [2999]/[3760] Speed: 70.604621 samples/sec accuracy=50.225521 loss=2.124288 lr=0.010000 Epoch[016] Batch [3049]/[3760] Speed: 69.972842 samples/sec accuracy=50.189037 loss=2.125311 lr=0.010000 Epoch[016] Batch [3099]/[3760] Speed: 69.399670 samples/sec accuracy=50.168851 loss=2.125842 lr=0.010000 Epoch[016] Batch [3149]/[3760] Speed: 70.275683 samples/sec accuracy=50.169643 loss=2.125983 lr=0.010000 Epoch[016] Batch [3199]/[3760] Speed: 68.540961 samples/sec accuracy=50.166992 loss=2.125706 lr=0.010000 Epoch[016] Batch [3249]/[3760] Speed: 68.800565 samples/sec accuracy=50.156731 loss=2.125848 lr=0.010000 Epoch[016] Batch [3299]/[3760] Speed: 70.688178 samples/sec accuracy=50.137784 loss=2.126523 lr=0.010000 Epoch[016] Batch [3349]/[3760] Speed: 69.622905 samples/sec accuracy=50.143190 loss=2.125932 lr=0.010000 Epoch[016] Batch [3399]/[3760] Speed: 70.652250 samples/sec accuracy=50.148897 loss=2.125884 lr=0.010000 Epoch[016] Batch [3449]/[3760] Speed: 67.753934 samples/sec accuracy=50.135417 loss=2.125814 lr=0.010000 Epoch[016] Batch [3499]/[3760] Speed: 70.932331 samples/sec accuracy=50.127232 loss=2.126018 lr=0.010000 Epoch[016] Batch [3549]/[3760] Speed: 69.646608 samples/sec accuracy=50.113116 loss=2.126790 lr=0.010000 Epoch[016] Batch [3599]/[3760] Speed: 67.798812 samples/sec accuracy=50.109809 loss=2.126755 lr=0.010000 Epoch[016] Batch [3649]/[3760] Speed: 70.771557 samples/sec accuracy=50.102740 loss=2.127329 lr=0.010000 Epoch[016] Batch [3699]/[3760] Speed: 69.716627 samples/sec accuracy=50.113176 loss=2.126939 lr=0.010000 Epoch[016] Batch [3749]/[3760] Speed: 76.357920 samples/sec accuracy=50.116667 loss=2.127132 lr=0.010000 Batch [0049]/[0303]: acc-top1=50.062500 acc-top5=76.500000 Batch [0099]/[0303]: acc-top1=49.906250 acc-top5=76.125000 Batch [0149]/[0303]: acc-top1=50.541667 acc-top5=76.437500 Batch [0199]/[0303]: acc-top1=50.929688 acc-top5=76.695312 Batch [0249]/[0303]: acc-top1=50.987500 acc-top5=76.793750 Batch [0299]/[0303]: acc-top1=50.989583 acc-top5=76.562500 [Epoch 016] training: accuracy=50.117603 loss=2.127177 [Epoch 016] speed: 69 samples/sec time cost: 3766.490277 [Epoch 016] validation: acc-top1=50.948845 acc-top5=76.500619 loss=2.210744 Epoch[017] Batch [0049]/[3759] Speed: 47.681343 samples/sec accuracy=50.625000 loss=2.075466 lr=0.010000 Epoch[017] Batch [0099]/[3759] Speed: 68.505191 samples/sec accuracy=51.906250 loss=2.046665 lr=0.010000 Epoch[017] Batch [0149]/[3759] Speed: 69.372869 samples/sec accuracy=51.343750 loss=2.065342 lr=0.010000 Epoch[017] Batch [0199]/[3759] Speed: 70.208128 samples/sec accuracy=51.460938 loss=2.066220 lr=0.010000 Epoch[017] Batch [0249]/[3759] Speed: 67.498915 samples/sec accuracy=51.318750 loss=2.071162 lr=0.010000 Epoch[017] Batch [0299]/[3759] Speed: 71.768477 samples/sec accuracy=51.213542 loss=2.065642 lr=0.010000 Epoch[017] Batch [0349]/[3759] Speed: 68.425884 samples/sec accuracy=51.200893 loss=2.069646 lr=0.010000 Epoch[017] Batch [0399]/[3759] Speed: 70.131906 samples/sec accuracy=51.152344 loss=2.073081 lr=0.010000 Epoch[017] Batch [0449]/[3759] Speed: 68.481849 samples/sec accuracy=51.194444 loss=2.072326 lr=0.010000 Epoch[017] Batch [0499]/[3759] Speed: 70.160916 samples/sec accuracy=51.100000 loss=2.072169 lr=0.010000 Epoch[017] Batch [0549]/[3759] Speed: 68.022172 samples/sec accuracy=51.136364 loss=2.075934 lr=0.010000 Epoch[017] Batch [0599]/[3759] Speed: 70.457957 samples/sec accuracy=51.171875 loss=2.076385 lr=0.010000 Epoch[017] Batch [0649]/[3759] Speed: 70.617275 samples/sec accuracy=51.103365 loss=2.076367 lr=0.010000 Epoch[017] Batch [0699]/[3759] Speed: 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lr=0.010000 Epoch[017] Batch [1199]/[3759] Speed: 69.899235 samples/sec accuracy=50.714844 loss=2.095295 lr=0.010000 Epoch[017] Batch [1249]/[3759] Speed: 70.725214 samples/sec accuracy=50.740000 loss=2.093339 lr=0.010000 Epoch[017] Batch [1299]/[3759] Speed: 69.450434 samples/sec accuracy=50.710337 loss=2.095232 lr=0.010000 Epoch[017] Batch [1349]/[3759] Speed: 68.843200 samples/sec accuracy=50.655093 loss=2.097498 lr=0.010000 Epoch[017] Batch [1399]/[3759] Speed: 69.314050 samples/sec accuracy=50.679688 loss=2.097467 lr=0.010000 Epoch[017] Batch [1449]/[3759] Speed: 69.983198 samples/sec accuracy=50.645474 loss=2.097799 lr=0.010000 Epoch[017] Batch [1499]/[3759] Speed: 69.755641 samples/sec accuracy=50.636458 loss=2.098710 lr=0.010000 Epoch[017] Batch [1549]/[3759] Speed: 68.788672 samples/sec accuracy=50.610887 loss=2.100908 lr=0.010000 Epoch[017] Batch [1599]/[3759] Speed: 70.972606 samples/sec accuracy=50.616211 loss=2.100552 lr=0.010000 Epoch[017] Batch [1649]/[3759] Speed: 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lr=0.010000 Epoch[017] Batch [2149]/[3759] Speed: 69.103687 samples/sec accuracy=50.689680 loss=2.101611 lr=0.010000 Epoch[017] Batch [2199]/[3759] Speed: 71.012374 samples/sec accuracy=50.691761 loss=2.101942 lr=0.010000 Epoch[017] Batch [2249]/[3759] Speed: 69.463098 samples/sec accuracy=50.680556 loss=2.102126 lr=0.010000 Epoch[017] Batch [2299]/[3759] Speed: 69.801796 samples/sec accuracy=50.641984 loss=2.102986 lr=0.010000 Epoch[017] Batch [2349]/[3759] Speed: 70.227880 samples/sec accuracy=50.646277 loss=2.103617 lr=0.010000 Epoch[017] Batch [2399]/[3759] Speed: 68.173794 samples/sec accuracy=50.652344 loss=2.103428 lr=0.010000 Epoch[017] Batch [2449]/[3759] Speed: 70.266063 samples/sec accuracy=50.631378 loss=2.104338 lr=0.010000 Epoch[017] Batch [2499]/[3759] Speed: 70.427677 samples/sec accuracy=50.630625 loss=2.105218 lr=0.010000 Epoch[017] Batch [2549]/[3759] Speed: 68.558698 samples/sec accuracy=50.623162 loss=2.105428 lr=0.010000 Epoch[017] Batch [2599]/[3759] Speed: 68.793998 samples/sec accuracy=50.620793 loss=2.104668 lr=0.010000 Epoch[017] Batch [2649]/[3759] Speed: 70.743675 samples/sec accuracy=50.604363 loss=2.105451 lr=0.010000 Epoch[017] Batch [2699]/[3759] Speed: 70.360945 samples/sec accuracy=50.608796 loss=2.104738 lr=0.010000 Epoch[017] Batch [2749]/[3759] Speed: 68.829547 samples/sec accuracy=50.634091 loss=2.103454 lr=0.010000 Epoch[017] Batch [2799]/[3759] Speed: 69.636483 samples/sec accuracy=50.642299 loss=2.103724 lr=0.010000 Epoch[017] Batch [2849]/[3759] Speed: 69.960035 samples/sec accuracy=50.630482 loss=2.104006 lr=0.010000 Epoch[017] Batch [2899]/[3759] Speed: 70.173065 samples/sec accuracy=50.619612 loss=2.104763 lr=0.010000 Epoch[017] Batch [2949]/[3759] Speed: 68.326676 samples/sec accuracy=50.628178 loss=2.105506 lr=0.010000 Epoch[017] Batch [2999]/[3759] Speed: 69.863369 samples/sec accuracy=50.652083 loss=2.104833 lr=0.010000 Epoch[017] Batch [3049]/[3759] Speed: 69.230869 samples/sec accuracy=50.660861 loss=2.104257 lr=0.010000 Epoch[017] Batch [3099]/[3759] Speed: 70.245409 samples/sec accuracy=50.659274 loss=2.104646 lr=0.010000 Epoch[017] Batch [3149]/[3759] Speed: 69.875859 samples/sec accuracy=50.641369 loss=2.105085 lr=0.010000 Epoch[017] Batch [3199]/[3759] Speed: 69.217409 samples/sec accuracy=50.621094 loss=2.105358 lr=0.010000 Epoch[017] Batch [3249]/[3759] Speed: 70.077476 samples/sec accuracy=50.592788 loss=2.106010 lr=0.010000 Epoch[017] Batch [3299]/[3759] Speed: 69.499812 samples/sec accuracy=50.580019 loss=2.106472 lr=0.010000 Epoch[017] Batch [3349]/[3759] Speed: 69.675002 samples/sec accuracy=50.572761 loss=2.106688 lr=0.010000 Epoch[017] Batch [3399]/[3759] Speed: 70.375869 samples/sec accuracy=50.569393 loss=2.106423 lr=0.010000 Epoch[017] Batch [3449]/[3759] Speed: 69.292473 samples/sec accuracy=50.548007 loss=2.107563 lr=0.010000 Epoch[017] Batch [3499]/[3759] Speed: 69.639697 samples/sec accuracy=50.551786 loss=2.107476 lr=0.010000 Epoch[017] Batch [3549]/[3759] Speed: 68.837704 samples/sec accuracy=50.548415 loss=2.107446 lr=0.010000 Epoch[017] Batch [3599]/[3759] Speed: 70.360518 samples/sec accuracy=50.544271 loss=2.107794 lr=0.010000 Epoch[017] Batch [3649]/[3759] Speed: 69.054812 samples/sec accuracy=50.514983 loss=2.108553 lr=0.010000 Epoch[017] Batch [3699]/[3759] Speed: 69.953300 samples/sec accuracy=50.526182 loss=2.108096 lr=0.010000 Epoch[017] Batch [3749]/[3759] Speed: 76.989403 samples/sec accuracy=50.509583 loss=2.108785 lr=0.010000 Batch [0049]/[0303]: acc-top1=51.062500 acc-top5=76.406250 Batch [0099]/[0303]: acc-top1=50.984375 acc-top5=76.437500 Batch [0149]/[0303]: acc-top1=51.572917 acc-top5=76.812500 Batch [0199]/[0303]: acc-top1=51.875000 acc-top5=76.937500 Batch [0249]/[0303]: acc-top1=52.181250 acc-top5=77.075000 Batch [0299]/[0303]: acc-top1=52.020833 acc-top5=76.901042 [Epoch 017] training: accuracy=50.500050 loss=2.109088 [Epoch 017] speed: 69 samples/sec time cost: 3765.035787 [Epoch 017] validation: acc-top1=52.005982 acc-top5=76.856436 loss=2.130524 Epoch[018] Batch [0049]/[3760] Speed: 49.137903 samples/sec accuracy=50.000000 loss=2.070467 lr=0.010000 Epoch[018] Batch [0099]/[3760] Speed: 67.993350 samples/sec accuracy=50.734375 loss=2.064803 lr=0.010000 Epoch[018] Batch [0149]/[3760] Speed: 70.509150 samples/sec accuracy=50.822917 loss=2.064663 lr=0.010000 Epoch[018] Batch [0199]/[3760] Speed: 68.641824 samples/sec accuracy=51.203125 loss=2.062630 lr=0.010000 Epoch[018] Batch [0249]/[3760] Speed: 68.652067 samples/sec accuracy=51.250000 loss=2.062412 lr=0.010000 Epoch[018] Batch [0299]/[3760] Speed: 70.258201 samples/sec accuracy=51.234375 loss=2.069135 lr=0.010000 Epoch[018] Batch [0349]/[3760] Speed: 70.794263 samples/sec accuracy=51.383929 loss=2.068517 lr=0.010000 Epoch[018] Batch [0399]/[3760] Speed: 70.120604 samples/sec accuracy=51.414062 loss=2.070719 lr=0.010000 Epoch[018] Batch [0449]/[3760] Speed: 70.093537 samples/sec accuracy=51.277778 loss=2.078099 lr=0.010000 Epoch[018] Batch 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accuracy=51.325658 loss=2.071962 lr=0.010000 Epoch[018] Batch [0999]/[3760] Speed: 68.354946 samples/sec accuracy=51.284375 loss=2.074043 lr=0.010000 Epoch[018] Batch [1049]/[3760] Speed: 67.497535 samples/sec accuracy=51.215774 loss=2.075150 lr=0.010000 Epoch[018] Batch [1099]/[3760] Speed: 72.146093 samples/sec accuracy=51.244318 loss=2.076792 lr=0.010000 Epoch[018] Batch [1149]/[3760] Speed: 68.660025 samples/sec accuracy=51.218750 loss=2.076710 lr=0.010000 Epoch[018] Batch [1199]/[3760] Speed: 71.010763 samples/sec accuracy=51.177083 loss=2.077768 lr=0.010000 Epoch[018] Batch [1249]/[3760] Speed: 67.898298 samples/sec accuracy=51.118750 loss=2.077950 lr=0.010000 Epoch[018] Batch [1299]/[3760] Speed: 69.804264 samples/sec accuracy=51.144231 loss=2.078454 lr=0.010000 Epoch[018] Batch [1349]/[3760] Speed: 69.770241 samples/sec accuracy=51.116898 loss=2.079118 lr=0.010000 Epoch[018] Batch [1399]/[3760] Speed: 68.561410 samples/sec accuracy=51.123884 loss=2.077260 lr=0.010000 Epoch[018] 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accuracy=51.115132 loss=2.080582 lr=0.010000 Epoch[018] Batch [1949]/[3760] Speed: 68.206970 samples/sec accuracy=51.086538 loss=2.081740 lr=0.010000 Epoch[018] Batch [1999]/[3760] Speed: 69.718020 samples/sec accuracy=51.067188 loss=2.083116 lr=0.010000 Epoch[018] Batch [2049]/[3760] Speed: 67.164245 samples/sec accuracy=51.025915 loss=2.084848 lr=0.010000 Epoch[018] Batch [2099]/[3760] Speed: 72.486951 samples/sec accuracy=51.031994 loss=2.084224 lr=0.010000 Epoch[018] Batch [2149]/[3760] Speed: 69.574220 samples/sec accuracy=51.005814 loss=2.085281 lr=0.010000 Epoch[018] Batch [2199]/[3760] Speed: 66.066409 samples/sec accuracy=51.002841 loss=2.086040 lr=0.010000 Epoch[018] Batch [2249]/[3760] Speed: 71.238501 samples/sec accuracy=50.977778 loss=2.087491 lr=0.010000 Epoch[018] Batch [2299]/[3760] Speed: 65.722530 samples/sec accuracy=50.964674 loss=2.086965 lr=0.010000 Epoch[018] Batch [2349]/[3760] Speed: 73.326161 samples/sec accuracy=50.942154 loss=2.087671 lr=0.010000 Epoch[018] 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accuracy=50.854715 loss=2.092156 lr=0.010000 Epoch[018] Batch [2899]/[3760] Speed: 69.115602 samples/sec accuracy=50.856142 loss=2.091710 lr=0.010000 Epoch[018] Batch [2949]/[3760] Speed: 69.589660 samples/sec accuracy=50.872881 loss=2.091532 lr=0.010000 Epoch[018] Batch [2999]/[3760] Speed: 70.893712 samples/sec accuracy=50.848437 loss=2.092181 lr=0.010000 Epoch[018] Batch [3049]/[3760] Speed: 69.166423 samples/sec accuracy=50.830943 loss=2.092906 lr=0.010000 Epoch[018] Batch [3099]/[3760] Speed: 70.036062 samples/sec accuracy=50.831653 loss=2.092155 lr=0.010000 Epoch[018] Batch [3149]/[3760] Speed: 68.806138 samples/sec accuracy=50.836310 loss=2.091894 lr=0.010000 Epoch[018] Batch [3199]/[3760] Speed: 70.042562 samples/sec accuracy=50.824219 loss=2.092239 lr=0.010000 Epoch[018] Batch [3249]/[3760] Speed: 70.763746 samples/sec accuracy=50.826442 loss=2.092019 lr=0.010000 Epoch[018] Batch [3299]/[3760] Speed: 69.229862 samples/sec accuracy=50.806818 loss=2.092461 lr=0.010000 Epoch[018] Batch [3349]/[3760] Speed: 69.849331 samples/sec accuracy=50.810168 loss=2.092237 lr=0.010000 Epoch[018] Batch [3399]/[3760] Speed: 68.494916 samples/sec accuracy=50.815257 loss=2.092261 lr=0.010000 Epoch[018] Batch [3449]/[3760] Speed: 69.950116 samples/sec accuracy=50.826540 loss=2.092041 lr=0.010000 Epoch[018] Batch [3499]/[3760] Speed: 69.701430 samples/sec accuracy=50.822768 loss=2.092558 lr=0.010000 Epoch[018] Batch [3549]/[3760] Speed: 70.366658 samples/sec accuracy=50.818662 loss=2.093265 lr=0.010000 Epoch[018] Batch [3599]/[3760] Speed: 69.257430 samples/sec accuracy=50.809896 loss=2.093689 lr=0.010000 Epoch[018] Batch [3649]/[3760] Speed: 70.011728 samples/sec accuracy=50.790240 loss=2.094795 lr=0.010000 Epoch[018] Batch [3699]/[3760] Speed: 68.966269 samples/sec accuracy=50.786740 loss=2.094880 lr=0.010000 Epoch[018] Batch [3749]/[3760] Speed: 77.773209 samples/sec accuracy=50.777083 loss=2.095026 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.187500 acc-top5=76.218750 Batch [0099]/[0303]: acc-top1=52.296875 acc-top5=76.359375 Batch [0149]/[0303]: acc-top1=52.510417 acc-top5=77.031250 Batch [0199]/[0303]: acc-top1=52.929688 acc-top5=77.460938 Batch [0249]/[0303]: acc-top1=53.056250 acc-top5=77.650000 Batch [0299]/[0303]: acc-top1=52.677083 acc-top5=77.312500 [Epoch 018] training: accuracy=50.774601 loss=2.094920 [Epoch 018] speed: 69 samples/sec time cost: 3765.673129 [Epoch 018] validation: acc-top1=52.676361 acc-top5=77.294761 loss=2.166220 Epoch[019] Batch [0049]/[3760] Speed: 49.054227 samples/sec accuracy=50.937500 loss=2.076410 lr=0.010000 Epoch[019] Batch [0099]/[3760] Speed: 67.993719 samples/sec accuracy=52.421875 loss=2.016517 lr=0.010000 Epoch[019] Batch [0149]/[3760] Speed: 67.492178 samples/sec accuracy=52.187500 loss=2.025256 lr=0.010000 Epoch[019] Batch [0199]/[3760] Speed: 68.002306 samples/sec accuracy=52.296875 loss=2.020847 lr=0.010000 Epoch[019] Batch [0249]/[3760] Speed: 72.232118 samples/sec accuracy=51.993750 loss=2.022986 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lr=0.010000 Epoch[019] Batch [2199]/[3760] Speed: 70.100861 samples/sec accuracy=51.308239 loss=2.068794 lr=0.010000 Epoch[019] Batch [2249]/[3760] Speed: 70.376194 samples/sec accuracy=51.286806 loss=2.069273 lr=0.010000 Epoch[019] Batch [2299]/[3760] Speed: 69.340236 samples/sec accuracy=51.325408 loss=2.068411 lr=0.010000 Epoch[019] Batch [2349]/[3760] Speed: 69.151065 samples/sec accuracy=51.309840 loss=2.068641 lr=0.010000 Epoch[019] Batch [2399]/[3760] Speed: 70.842887 samples/sec accuracy=51.309245 loss=2.069712 lr=0.010000 Epoch[019] Batch [2449]/[3760] Speed: 69.929252 samples/sec accuracy=51.310587 loss=2.069734 lr=0.010000 Epoch[019] Batch [2499]/[3760] Speed: 69.097771 samples/sec accuracy=51.306875 loss=2.069915 lr=0.010000 Epoch[019] Batch [2549]/[3760] Speed: 68.615490 samples/sec accuracy=51.295343 loss=2.069219 lr=0.010000 Epoch[019] Batch [2599]/[3760] Speed: 70.595342 samples/sec accuracy=51.310697 loss=2.068436 lr=0.010000 Epoch[019] Batch [2649]/[3760] Speed: 69.931247 samples/sec accuracy=51.303066 loss=2.069095 lr=0.010000 Epoch[019] Batch [2699]/[3760] Speed: 70.458441 samples/sec accuracy=51.300347 loss=2.068859 lr=0.010000 Epoch[019] Batch [2749]/[3760] Speed: 69.320827 samples/sec accuracy=51.297727 loss=2.069754 lr=0.010000 Epoch[019] Batch [2799]/[3760] Speed: 69.093720 samples/sec accuracy=51.294643 loss=2.070208 lr=0.010000 Epoch[019] Batch [2849]/[3760] Speed: 69.597157 samples/sec accuracy=51.320175 loss=2.069996 lr=0.010000 Epoch[019] Batch [2899]/[3760] Speed: 70.049504 samples/sec accuracy=51.340517 loss=2.068999 lr=0.010000 Epoch[019] Batch [2949]/[3760] Speed: 70.152924 samples/sec accuracy=51.349047 loss=2.069519 lr=0.010000 Epoch[019] Batch [2999]/[3760] Speed: 69.671529 samples/sec accuracy=51.341146 loss=2.069724 lr=0.010000 Epoch[019] Batch [3049]/[3760] Speed: 68.898139 samples/sec accuracy=51.325820 loss=2.070271 lr=0.010000 Epoch[019] Batch [3099]/[3760] Speed: 69.980402 samples/sec accuracy=51.329637 loss=2.070705 lr=0.010000 Epoch[019] Batch [3149]/[3760] Speed: 70.143676 samples/sec accuracy=51.324901 loss=2.071292 lr=0.010000 Epoch[019] Batch [3199]/[3760] Speed: 69.994286 samples/sec accuracy=51.356445 loss=2.070521 lr=0.010000 Epoch[019] Batch [3249]/[3760] Speed: 70.134155 samples/sec accuracy=51.352404 loss=2.070560 lr=0.010000 Epoch[019] Batch [3299]/[3760] Speed: 68.180403 samples/sec accuracy=51.359375 loss=2.070712 lr=0.010000 Epoch[019] Batch [3349]/[3760] Speed: 69.913800 samples/sec accuracy=51.353078 loss=2.071164 lr=0.010000 Epoch[019] Batch [3399]/[3760] Speed: 69.400606 samples/sec accuracy=51.312500 loss=2.072518 lr=0.010000 Epoch[019] Batch [3449]/[3760] Speed: 70.554457 samples/sec accuracy=51.308877 loss=2.072930 lr=0.010000 Epoch[019] Batch [3499]/[3760] Speed: 69.061217 samples/sec accuracy=51.300893 loss=2.072795 lr=0.010000 Epoch[019] Batch [3549]/[3760] Speed: 70.179933 samples/sec accuracy=51.290933 loss=2.073175 lr=0.010000 Epoch[019] Batch [3599]/[3760] Speed: 70.261658 samples/sec accuracy=51.278212 loss=2.074177 lr=0.010000 Epoch[019] Batch [3649]/[3760] Speed: 68.168859 samples/sec accuracy=51.263699 loss=2.074648 lr=0.010000 Epoch[019] Batch [3699]/[3760] Speed: 69.694689 samples/sec accuracy=51.239865 loss=2.075485 lr=0.010000 Epoch[019] Batch [3749]/[3760] Speed: 78.783679 samples/sec accuracy=51.232500 loss=2.076031 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.156250 acc-top5=76.500000 Batch [0099]/[0303]: acc-top1=51.906250 acc-top5=76.843750 Batch [0149]/[0303]: acc-top1=52.687500 acc-top5=77.333333 Batch [0199]/[0303]: acc-top1=53.078125 acc-top5=77.484375 Batch [0249]/[0303]: acc-top1=52.962500 acc-top5=77.668750 Batch [0299]/[0303]: acc-top1=52.677083 acc-top5=77.411458 [Epoch 019] training: accuracy=51.232547 loss=2.076031 [Epoch 019] speed: 69 samples/sec time cost: 3757.755769 [Epoch 019] validation: acc-top1=52.645421 acc-top5=77.403053 loss=2.126544 Epoch[020] Batch [0049]/[3759] Speed: 48.197884 samples/sec accuracy=52.531250 loss=2.015838 lr=0.010000 Epoch[020] Batch [0099]/[3759] Speed: 66.763986 samples/sec accuracy=52.109375 loss=2.039605 lr=0.010000 Epoch[020] Batch [0149]/[3759] Speed: 69.615434 samples/sec accuracy=52.260417 loss=2.034919 lr=0.010000 Epoch[020] Batch [0199]/[3759] Speed: 70.096894 samples/sec accuracy=52.375000 loss=2.032937 lr=0.010000 Epoch[020] Batch [0249]/[3759] Speed: 67.854228 samples/sec accuracy=52.287500 loss=2.028490 lr=0.010000 Epoch[020] Batch [0299]/[3759] Speed: 71.418039 samples/sec accuracy=52.072917 loss=2.031109 lr=0.010000 Epoch[020] Batch [0349]/[3759] Speed: 70.547835 samples/sec accuracy=52.169643 loss=2.032104 lr=0.010000 Epoch[020] Batch [0399]/[3759] Speed: 69.072576 samples/sec accuracy=51.902344 loss=2.043552 lr=0.010000 Epoch[020] Batch [0449]/[3759] Speed: 70.548879 samples/sec accuracy=51.819444 loss=2.046797 lr=0.010000 Epoch[020] Batch [0499]/[3759] Speed: 67.962082 samples/sec accuracy=51.878125 loss=2.044137 lr=0.010000 Epoch[020] 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accuracy=51.651563 loss=2.051840 lr=0.010000 Epoch[020] Batch [1049]/[3759] Speed: 68.518922 samples/sec accuracy=51.702381 loss=2.049784 lr=0.010000 Epoch[020] Batch [1099]/[3759] Speed: 68.896987 samples/sec accuracy=51.725852 loss=2.048222 lr=0.010000 Epoch[020] Batch [1149]/[3759] Speed: 71.658993 samples/sec accuracy=51.692935 loss=2.048952 lr=0.010000 Epoch[020] Batch [1199]/[3759] Speed: 69.431596 samples/sec accuracy=51.697917 loss=2.049268 lr=0.010000 Epoch[020] Batch [1249]/[3759] Speed: 69.179939 samples/sec accuracy=51.667500 loss=2.049698 lr=0.010000 Epoch[020] Batch [1299]/[3759] Speed: 69.663277 samples/sec accuracy=51.667067 loss=2.050585 lr=0.010000 Epoch[020] Batch [1349]/[3759] Speed: 70.083089 samples/sec accuracy=51.668981 loss=2.050558 lr=0.010000 Epoch[020] Batch [1399]/[3759] Speed: 69.235402 samples/sec accuracy=51.731027 loss=2.048558 lr=0.010000 Epoch[020] Batch [1449]/[3759] Speed: 70.626314 samples/sec accuracy=51.752155 loss=2.048962 lr=0.010000 Epoch[020] 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accuracy=51.621795 loss=2.055674 lr=0.010000 Epoch[020] Batch [1999]/[3759] Speed: 69.860428 samples/sec accuracy=51.614844 loss=2.055604 lr=0.010000 Epoch[020] Batch [2049]/[3759] Speed: 69.717747 samples/sec accuracy=51.613567 loss=2.055261 lr=0.010000 Epoch[020] Batch [2099]/[3759] Speed: 69.104226 samples/sec accuracy=51.590030 loss=2.055666 lr=0.010000 Epoch[020] Batch [2149]/[3759] Speed: 70.705879 samples/sec accuracy=51.625727 loss=2.056050 lr=0.010000 Epoch[020] Batch [2199]/[3759] Speed: 70.147208 samples/sec accuracy=51.634943 loss=2.056481 lr=0.010000 Epoch[020] Batch [2249]/[3759] Speed: 68.910368 samples/sec accuracy=51.661111 loss=2.055512 lr=0.010000 Epoch[020] Batch [2299]/[3759] Speed: 68.914502 samples/sec accuracy=51.639266 loss=2.056839 lr=0.010000 Epoch[020] Batch [2349]/[3759] Speed: 70.547825 samples/sec accuracy=51.616356 loss=2.057885 lr=0.010000 Epoch[020] Batch [2399]/[3759] Speed: 69.070842 samples/sec accuracy=51.641276 loss=2.056523 lr=0.010000 Epoch[020] 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accuracy=51.626078 loss=2.058285 lr=0.010000 Epoch[020] Batch [2949]/[3759] Speed: 70.291141 samples/sec accuracy=51.602225 loss=2.058732 lr=0.010000 Epoch[020] Batch [2999]/[3759] Speed: 70.087731 samples/sec accuracy=51.588021 loss=2.059302 lr=0.010000 Epoch[020] Batch [3049]/[3759] Speed: 68.666141 samples/sec accuracy=51.581967 loss=2.059248 lr=0.010000 Epoch[020] Batch [3099]/[3759] Speed: 71.274224 samples/sec accuracy=51.574093 loss=2.059394 lr=0.010000 Epoch[020] Batch [3149]/[3759] Speed: 69.234196 samples/sec accuracy=51.557540 loss=2.059724 lr=0.010000 Epoch[020] Batch [3199]/[3759] Speed: 70.578629 samples/sec accuracy=51.545898 loss=2.060346 lr=0.010000 Epoch[020] Batch [3249]/[3759] Speed: 69.441846 samples/sec accuracy=51.541827 loss=2.060563 lr=0.010000 Epoch[020] Batch [3299]/[3759] Speed: 69.088196 samples/sec accuracy=51.551136 loss=2.061266 lr=0.010000 Epoch[020] Batch [3349]/[3759] Speed: 70.182516 samples/sec accuracy=51.563899 loss=2.060491 lr=0.010000 Epoch[020] Batch [3399]/[3759] Speed: 68.791146 samples/sec accuracy=51.558364 loss=2.060721 lr=0.010000 Epoch[020] Batch [3449]/[3759] Speed: 69.935256 samples/sec accuracy=51.574728 loss=2.059568 lr=0.010000 Epoch[020] Batch [3499]/[3759] Speed: 68.782243 samples/sec accuracy=51.570536 loss=2.059475 lr=0.010000 Epoch[020] Batch [3549]/[3759] Speed: 70.730106 samples/sec accuracy=51.573504 loss=2.059493 lr=0.010000 Epoch[020] Batch [3599]/[3759] Speed: 69.465633 samples/sec accuracy=51.576389 loss=2.059538 lr=0.010000 Epoch[020] Batch [3649]/[3759] Speed: 69.936834 samples/sec accuracy=51.585616 loss=2.059752 lr=0.010000 Epoch[020] Batch [3699]/[3759] Speed: 69.776958 samples/sec accuracy=51.568412 loss=2.060267 lr=0.010000 Epoch[020] Batch [3749]/[3759] Speed: 77.872907 samples/sec accuracy=51.550000 loss=2.061443 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.718750 acc-top5=77.718750 Batch [0099]/[0303]: acc-top1=52.531250 acc-top5=77.781250 Batch [0149]/[0303]: acc-top1=53.020833 acc-top5=78.250000 Batch [0199]/[0303]: acc-top1=53.101562 acc-top5=78.335938 Batch [0249]/[0303]: acc-top1=53.225000 acc-top5=78.456250 Batch [0299]/[0303]: acc-top1=53.026042 acc-top5=78.177083 [Epoch 020] training: accuracy=51.559590 loss=2.061152 [Epoch 020] speed: 69 samples/sec time cost: 3763.495981 [Epoch 020] validation: acc-top1=53.021865 acc-top5=78.150784 loss=2.079734 Epoch[021] Batch [0049]/[3760] Speed: 47.902668 samples/sec accuracy=53.375000 loss=1.992168 lr=0.010000 Epoch[021] Batch [0099]/[3760] Speed: 70.087939 samples/sec accuracy=53.312500 loss=1.994283 lr=0.010000 Epoch[021] Batch [0149]/[3760] Speed: 67.663662 samples/sec accuracy=52.739583 loss=2.012951 lr=0.010000 Epoch[021] Batch [0199]/[3760] Speed: 71.045141 samples/sec accuracy=52.289063 loss=2.024684 lr=0.010000 Epoch[021] Batch [0249]/[3760] Speed: 69.779605 samples/sec accuracy=52.387500 loss=2.028570 lr=0.010000 Epoch[021] Batch [0299]/[3760] Speed: 69.512825 samples/sec accuracy=52.260417 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accuracy=51.796250 loss=2.039753 lr=0.010000 Epoch[021] Batch [1299]/[3760] Speed: 68.263169 samples/sec accuracy=51.750000 loss=2.040254 lr=0.010000 Epoch[021] Batch [1349]/[3760] Speed: 71.117440 samples/sec accuracy=51.759259 loss=2.040675 lr=0.010000 Epoch[021] Batch [1399]/[3760] Speed: 66.236495 samples/sec accuracy=51.755580 loss=2.039030 lr=0.010000 Epoch[021] Batch [1449]/[3760] Speed: 72.178255 samples/sec accuracy=51.701509 loss=2.040919 lr=0.010000 Epoch[021] Batch [1499]/[3760] Speed: 69.032591 samples/sec accuracy=51.750000 loss=2.040067 lr=0.010000 Epoch[021] Batch [1549]/[3760] Speed: 71.384389 samples/sec accuracy=51.771169 loss=2.039556 lr=0.010000 Epoch[021] Batch [1599]/[3760] Speed: 69.933670 samples/sec accuracy=51.827148 loss=2.036382 lr=0.010000 Epoch[021] Batch [1649]/[3760] Speed: 67.396563 samples/sec accuracy=51.817235 loss=2.035645 lr=0.010000 Epoch[021] Batch [1699]/[3760] Speed: 71.289513 samples/sec accuracy=51.804228 loss=2.035461 lr=0.010000 Epoch[021] 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accuracy=51.773438 loss=2.040242 lr=0.010000 Epoch[021] Batch [2249]/[3760] Speed: 69.107554 samples/sec accuracy=51.786806 loss=2.039872 lr=0.010000 Epoch[021] Batch [2299]/[3760] Speed: 70.103776 samples/sec accuracy=51.767663 loss=2.040555 lr=0.010000 Epoch[021] Batch [2349]/[3760] Speed: 69.793819 samples/sec accuracy=51.771941 loss=2.041090 lr=0.010000 Epoch[021] Batch [2399]/[3760] Speed: 69.506602 samples/sec accuracy=51.755859 loss=2.041135 lr=0.010000 Epoch[021] Batch [2449]/[3760] Speed: 69.079497 samples/sec accuracy=51.770408 loss=2.041389 lr=0.010000 Epoch[021] Batch [2499]/[3760] Speed: 70.200997 samples/sec accuracy=51.746250 loss=2.043251 lr=0.010000 Epoch[021] Batch [2549]/[3760] Speed: 69.358328 samples/sec accuracy=51.752451 loss=2.042790 lr=0.010000 Epoch[021] Batch [2599]/[3760] Speed: 69.281215 samples/sec accuracy=51.745793 loss=2.042696 lr=0.010000 Epoch[021] Batch [2649]/[3760] Speed: 70.505096 samples/sec accuracy=51.741745 loss=2.042423 lr=0.010000 Epoch[021] 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accuracy=51.738591 loss=2.045976 lr=0.010000 Epoch[021] Batch [3199]/[3760] Speed: 70.597717 samples/sec accuracy=51.713867 loss=2.047195 lr=0.010000 Epoch[021] Batch [3249]/[3760] Speed: 69.651801 samples/sec accuracy=51.688942 loss=2.047871 lr=0.010000 Epoch[021] Batch [3299]/[3760] Speed: 69.001878 samples/sec accuracy=51.681818 loss=2.048525 lr=0.010000 Epoch[021] Batch [3349]/[3760] Speed: 68.803590 samples/sec accuracy=51.666978 loss=2.048435 lr=0.010000 Epoch[021] Batch [3399]/[3760] Speed: 68.560571 samples/sec accuracy=51.656250 loss=2.048908 lr=0.010000 Epoch[021] Batch [3449]/[3760] Speed: 70.589378 samples/sec accuracy=51.669384 loss=2.048604 lr=0.010000 Epoch[021] Batch [3499]/[3760] Speed: 71.046564 samples/sec accuracy=51.666964 loss=2.049111 lr=0.010000 Epoch[021] Batch [3549]/[3760] Speed: 68.438679 samples/sec accuracy=51.663292 loss=2.049893 lr=0.010000 Epoch[021] Batch [3599]/[3760] Speed: 70.027371 samples/sec accuracy=51.650608 loss=2.050903 lr=0.010000 Epoch[021] Batch [3649]/[3760] Speed: 71.606379 samples/sec accuracy=51.643408 loss=2.051171 lr=0.010000 Epoch[021] Batch [3699]/[3760] Speed: 69.661781 samples/sec accuracy=51.632601 loss=2.051441 lr=0.010000 Epoch[021] Batch [3749]/[3760] Speed: 76.391690 samples/sec accuracy=51.639167 loss=2.051888 lr=0.010000 Batch [0049]/[0303]: acc-top1=51.812500 acc-top5=76.531250 Batch [0099]/[0303]: acc-top1=51.390625 acc-top5=76.406250 Batch [0149]/[0303]: acc-top1=52.291667 acc-top5=77.166667 Batch [0199]/[0303]: acc-top1=52.453125 acc-top5=77.328125 Batch [0249]/[0303]: acc-top1=52.350000 acc-top5=77.381250 Batch [0299]/[0303]: acc-top1=52.067708 acc-top5=77.125000 [Epoch 021] training: accuracy=51.629405 loss=2.052442 [Epoch 021] speed: 69 samples/sec time cost: 3765.057517 [Epoch 021] validation: acc-top1=52.057550 acc-top5=77.083333 loss=2.137917 Epoch[022] Batch [0049]/[3760] Speed: 47.928560 samples/sec accuracy=52.781250 loss=2.002576 lr=0.010000 Epoch[022] Batch [0099]/[3760] Speed: 69.879135 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lr=0.010000 Epoch[022] Batch [3449]/[3760] Speed: 69.260664 samples/sec accuracy=52.089674 loss=2.033650 lr=0.010000 Epoch[022] Batch [3499]/[3760] Speed: 69.362984 samples/sec accuracy=52.071875 loss=2.034412 lr=0.010000 Epoch[022] Batch [3549]/[3760] Speed: 70.696123 samples/sec accuracy=52.066461 loss=2.034937 lr=0.010000 Epoch[022] Batch [3599]/[3760] Speed: 67.369191 samples/sec accuracy=52.056424 loss=2.035491 lr=0.010000 Epoch[022] Batch [3649]/[3760] Speed: 70.380478 samples/sec accuracy=52.077055 loss=2.035175 lr=0.010000 Epoch[022] Batch [3699]/[3760] Speed: 69.767335 samples/sec accuracy=52.067145 loss=2.035206 lr=0.010000 Epoch[022] Batch [3749]/[3760] Speed: 78.022354 samples/sec accuracy=52.072500 loss=2.035222 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.656250 acc-top5=76.750000 Batch [0099]/[0303]: acc-top1=52.171875 acc-top5=77.296875 Batch [0149]/[0303]: acc-top1=52.833333 acc-top5=77.531250 Batch [0199]/[0303]: acc-top1=53.085938 acc-top5=77.757812 Batch [0249]/[0303]: acc-top1=53.018750 acc-top5=77.868750 Batch [0299]/[0303]: acc-top1=52.755208 acc-top5=77.697917 [Epoch 022] training: accuracy=52.069897 loss=2.035448 [Epoch 022] speed: 69 samples/sec time cost: 3760.937901 [Epoch 022] validation: acc-top1=52.702145 acc-top5=77.686675 loss=2.085401 Epoch[023] Batch [0049]/[3759] Speed: 48.201487 samples/sec accuracy=52.750000 loss=2.012517 lr=0.010000 Epoch[023] Batch [0099]/[3759] Speed: 70.010885 samples/sec accuracy=53.000000 loss=2.003447 lr=0.010000 Epoch[023] Batch [0149]/[3759] Speed: 69.091703 samples/sec accuracy=52.656250 loss=2.002013 lr=0.010000 Epoch[023] Batch [0199]/[3759] Speed: 68.903797 samples/sec accuracy=52.726562 loss=1.989547 lr=0.010000 Epoch[023] Batch [0249]/[3759] Speed: 69.798065 samples/sec accuracy=52.868750 loss=1.986780 lr=0.010000 Epoch[023] Batch [0299]/[3759] Speed: 70.843576 samples/sec accuracy=52.927083 loss=1.994432 lr=0.010000 Epoch[023] Batch [0349]/[3759] Speed: 69.623601 samples/sec accuracy=52.714286 loss=2.007622 lr=0.010000 Epoch[023] Batch [0399]/[3759] Speed: 69.752781 samples/sec accuracy=52.460938 loss=2.012784 lr=0.010000 Epoch[023] Batch [0449]/[3759] Speed: 67.895249 samples/sec accuracy=52.406250 loss=2.014715 lr=0.010000 Epoch[023] Batch [0499]/[3759] Speed: 70.185916 samples/sec accuracy=52.315625 loss=2.018760 lr=0.010000 Epoch[023] Batch [0549]/[3759] Speed: 69.932289 samples/sec accuracy=52.272727 loss=2.024038 lr=0.010000 Epoch[023] Batch [0599]/[3759] Speed: 70.335284 samples/sec accuracy=52.348958 loss=2.020205 lr=0.010000 Epoch[023] Batch [0649]/[3759] Speed: 68.504390 samples/sec accuracy=52.401442 loss=2.018503 lr=0.010000 Epoch[023] Batch [0699]/[3759] Speed: 70.700528 samples/sec accuracy=52.350446 loss=2.016395 lr=0.010000 Epoch[023] Batch [0749]/[3759] Speed: 68.507695 samples/sec accuracy=52.366667 loss=2.015535 lr=0.010000 Epoch[023] Batch [0799]/[3759] Speed: 70.163838 samples/sec accuracy=52.400391 loss=2.013366 lr=0.010000 Epoch[023] 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accuracy=52.349760 loss=2.015449 lr=0.010000 Epoch[023] Batch [1349]/[3759] Speed: 71.089393 samples/sec accuracy=52.305556 loss=2.017633 lr=0.010000 Epoch[023] Batch [1399]/[3759] Speed: 70.739527 samples/sec accuracy=52.285714 loss=2.017851 lr=0.010000 Epoch[023] Batch [1449]/[3759] Speed: 69.856844 samples/sec accuracy=52.301724 loss=2.018586 lr=0.010000 Epoch[023] Batch [1499]/[3759] Speed: 70.050195 samples/sec accuracy=52.319792 loss=2.017081 lr=0.010000 Epoch[023] Batch [1549]/[3759] Speed: 69.549347 samples/sec accuracy=52.311492 loss=2.016868 lr=0.010000 Epoch[023] Batch [1599]/[3759] Speed: 69.333340 samples/sec accuracy=52.279297 loss=2.016632 lr=0.010000 Epoch[023] Batch [1649]/[3759] Speed: 70.529109 samples/sec accuracy=52.251894 loss=2.018726 lr=0.010000 Epoch[023] Batch [1699]/[3759] Speed: 69.462369 samples/sec accuracy=52.279412 loss=2.018963 lr=0.010000 Epoch[023] Batch [1749]/[3759] Speed: 69.583247 samples/sec accuracy=52.283036 loss=2.020718 lr=0.010000 Epoch[023] 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accuracy=52.251389 loss=2.024821 lr=0.010000 Epoch[023] Batch [2299]/[3759] Speed: 69.301859 samples/sec accuracy=52.244565 loss=2.025069 lr=0.010000 Epoch[023] Batch [2349]/[3759] Speed: 69.310500 samples/sec accuracy=52.246011 loss=2.025529 lr=0.010000 Epoch[023] Batch [2399]/[3759] Speed: 67.177465 samples/sec accuracy=52.231771 loss=2.026184 lr=0.010000 Epoch[023] Batch [2449]/[3759] Speed: 70.861858 samples/sec accuracy=52.202168 loss=2.026860 lr=0.010000 Epoch[023] Batch [2499]/[3759] Speed: 69.572932 samples/sec accuracy=52.221875 loss=2.026192 lr=0.010000 Epoch[023] Batch [2549]/[3759] Speed: 66.373920 samples/sec accuracy=52.221814 loss=2.025597 lr=0.010000 Epoch[023] Batch [2599]/[3759] Speed: 72.603328 samples/sec accuracy=52.223558 loss=2.025834 lr=0.010000 Epoch[023] Batch [2649]/[3759] Speed: 70.114780 samples/sec accuracy=52.250590 loss=2.025838 lr=0.010000 Epoch[023] Batch [2699]/[3759] Speed: 70.388890 samples/sec accuracy=52.209491 loss=2.027291 lr=0.010000 Epoch[023] 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accuracy=52.199219 loss=2.028514 lr=0.010000 Epoch[023] Batch [3249]/[3759] Speed: 68.480849 samples/sec accuracy=52.210096 loss=2.028259 lr=0.010000 Epoch[023] Batch [3299]/[3759] Speed: 70.059741 samples/sec accuracy=52.197917 loss=2.028741 lr=0.010000 Epoch[023] Batch [3349]/[3759] Speed: 69.072856 samples/sec accuracy=52.196362 loss=2.029462 lr=0.010000 Epoch[023] Batch [3399]/[3759] Speed: 69.559808 samples/sec accuracy=52.198529 loss=2.029145 lr=0.010000 Epoch[023] Batch [3449]/[3759] Speed: 68.717513 samples/sec accuracy=52.176630 loss=2.029613 lr=0.010000 Epoch[023] Batch [3499]/[3759] Speed: 70.121485 samples/sec accuracy=52.183482 loss=2.030198 lr=0.010000 Epoch[023] Batch [3549]/[3759] Speed: 69.754924 samples/sec accuracy=52.188820 loss=2.030553 lr=0.010000 Epoch[023] Batch [3599]/[3759] Speed: 68.819391 samples/sec accuracy=52.181424 loss=2.030817 lr=0.010000 Epoch[023] Batch [3649]/[3759] Speed: 69.684435 samples/sec accuracy=52.158818 loss=2.031440 lr=0.010000 Epoch[023] Batch [3699]/[3759] Speed: 70.312010 samples/sec accuracy=52.163429 loss=2.031324 lr=0.010000 Epoch[023] Batch [3749]/[3759] Speed: 76.579714 samples/sec accuracy=52.145417 loss=2.031032 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.906250 acc-top5=78.218750 Batch [0099]/[0303]: acc-top1=52.875000 acc-top5=77.968750 Batch [0149]/[0303]: acc-top1=53.729167 acc-top5=78.406250 Batch [0199]/[0303]: acc-top1=53.812500 acc-top5=78.507812 Batch [0249]/[0303]: acc-top1=53.850000 acc-top5=78.650000 Batch [0299]/[0303]: acc-top1=53.682292 acc-top5=78.484375 [Epoch 023] training: accuracy=52.148593 loss=2.031284 [Epoch 023] speed: 69 samples/sec time cost: 3760.910399 [Epoch 023] validation: acc-top1=53.676774 acc-top5=78.470503 loss=2.071454 Epoch[024] Batch [0049]/[3760] Speed: 48.400569 samples/sec accuracy=52.937500 loss=1.947750 lr=0.010000 Epoch[024] Batch [0099]/[3760] Speed: 67.346258 samples/sec accuracy=53.250000 loss=1.954888 lr=0.010000 Epoch[024] Batch [0149]/[3760] Speed: 69.436941 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lr=0.010000 Epoch[024] Batch [0649]/[3760] Speed: 69.713926 samples/sec accuracy=52.620192 loss=2.005412 lr=0.010000 Epoch[024] Batch [0699]/[3760] Speed: 70.296544 samples/sec accuracy=52.676339 loss=2.005155 lr=0.010000 Epoch[024] Batch [0749]/[3760] Speed: 69.376227 samples/sec accuracy=52.616667 loss=2.004533 lr=0.010000 Epoch[024] Batch [0799]/[3760] Speed: 67.807787 samples/sec accuracy=52.531250 loss=2.009222 lr=0.010000 Epoch[024] Batch [0849]/[3760] Speed: 69.684085 samples/sec accuracy=52.509191 loss=2.006706 lr=0.010000 Epoch[024] Batch [0899]/[3760] Speed: 71.427036 samples/sec accuracy=52.543403 loss=2.004353 lr=0.010000 Epoch[024] Batch [0949]/[3760] Speed: 69.371620 samples/sec accuracy=52.570724 loss=2.003026 lr=0.010000 Epoch[024] Batch [0999]/[3760] Speed: 70.256358 samples/sec accuracy=52.614063 loss=2.003574 lr=0.010000 Epoch[024] Batch [1049]/[3760] Speed: 68.339633 samples/sec accuracy=52.620536 loss=2.004624 lr=0.010000 Epoch[024] Batch [1099]/[3760] Speed: 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lr=0.010000 Epoch[024] Batch [1599]/[3760] Speed: 69.859434 samples/sec accuracy=52.555664 loss=2.009341 lr=0.010000 Epoch[024] Batch [1649]/[3760] Speed: 69.566275 samples/sec accuracy=52.547348 loss=2.009269 lr=0.010000 Epoch[024] Batch [1699]/[3760] Speed: 65.650736 samples/sec accuracy=52.525735 loss=2.010445 lr=0.010000 Epoch[024] Batch [1749]/[3760] Speed: 72.413500 samples/sec accuracy=52.502679 loss=2.011043 lr=0.010000 Epoch[024] Batch [1799]/[3760] Speed: 66.954812 samples/sec accuracy=52.467014 loss=2.012471 lr=0.010000 Epoch[024] Batch [1849]/[3760] Speed: 71.178238 samples/sec accuracy=52.516892 loss=2.011267 lr=0.010000 Epoch[024] Batch [1899]/[3760] Speed: 70.529231 samples/sec accuracy=52.466283 loss=2.012827 lr=0.010000 Epoch[024] Batch [1949]/[3760] Speed: 69.017024 samples/sec accuracy=52.493590 loss=2.011201 lr=0.010000 Epoch[024] Batch [1999]/[3760] Speed: 69.107110 samples/sec accuracy=52.464844 loss=2.011388 lr=0.010000 Epoch[024] Batch [2049]/[3760] Speed: 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lr=0.010000 Epoch[024] Batch [2549]/[3760] Speed: 67.967116 samples/sec accuracy=52.449755 loss=2.009924 lr=0.010000 Epoch[024] Batch [2599]/[3760] Speed: 69.188956 samples/sec accuracy=52.412861 loss=2.012145 lr=0.010000 Epoch[024] Batch [2649]/[3760] Speed: 68.040717 samples/sec accuracy=52.422759 loss=2.012073 lr=0.010000 Epoch[024] Batch [2699]/[3760] Speed: 69.987001 samples/sec accuracy=52.442708 loss=2.012217 lr=0.010000 Epoch[024] Batch [2749]/[3760] Speed: 71.291276 samples/sec accuracy=52.432386 loss=2.012381 lr=0.010000 Epoch[024] Batch [2799]/[3760] Speed: 69.946313 samples/sec accuracy=52.400670 loss=2.013246 lr=0.010000 Epoch[024] Batch [2849]/[3760] Speed: 68.694866 samples/sec accuracy=52.425987 loss=2.012096 lr=0.010000 Epoch[024] Batch [2899]/[3760] Speed: 70.197455 samples/sec accuracy=52.435884 loss=2.012072 lr=0.010000 Epoch[024] Batch [2949]/[3760] Speed: 70.797765 samples/sec accuracy=52.441208 loss=2.012414 lr=0.010000 Epoch[024] Batch [2999]/[3760] Speed: 69.440760 samples/sec accuracy=52.444792 loss=2.012567 lr=0.010000 Epoch[024] Batch [3049]/[3760] Speed: 69.149377 samples/sec accuracy=52.473873 loss=2.011233 lr=0.010000 Epoch[024] Batch [3099]/[3760] Speed: 68.798479 samples/sec accuracy=52.461190 loss=2.012487 lr=0.010000 Epoch[024] Batch [3149]/[3760] Speed: 69.207342 samples/sec accuracy=52.435020 loss=2.013011 lr=0.010000 Epoch[024] Batch [3199]/[3760] Speed: 70.309961 samples/sec accuracy=52.424805 loss=2.013638 lr=0.010000 Epoch[024] Batch [3249]/[3760] Speed: 69.540218 samples/sec accuracy=52.437981 loss=2.013010 lr=0.010000 Epoch[024] Batch [3299]/[3760] Speed: 70.814764 samples/sec accuracy=52.456439 loss=2.012182 lr=0.010000 Epoch[024] Batch [3349]/[3760] Speed: 67.809788 samples/sec accuracy=52.455224 loss=2.012383 lr=0.010000 Epoch[024] Batch [3399]/[3760] Speed: 70.249226 samples/sec accuracy=52.431066 loss=2.013324 lr=0.010000 Epoch[024] Batch [3449]/[3760] Speed: 70.708187 samples/sec accuracy=52.417572 loss=2.013839 lr=0.010000 Epoch[024] Batch [3499]/[3760] Speed: 68.485486 samples/sec accuracy=52.383036 loss=2.014988 lr=0.010000 Epoch[024] Batch [3549]/[3760] Speed: 70.699046 samples/sec accuracy=52.382923 loss=2.015331 lr=0.010000 Epoch[024] Batch [3599]/[3760] Speed: 68.900744 samples/sec accuracy=52.356771 loss=2.015772 lr=0.010000 Epoch[024] Batch [3649]/[3760] Speed: 70.374415 samples/sec accuracy=52.385274 loss=2.014988 lr=0.010000 Epoch[024] Batch [3699]/[3760] Speed: 70.026588 samples/sec accuracy=52.379223 loss=2.015476 lr=0.010000 Epoch[024] Batch [3749]/[3760] Speed: 76.902956 samples/sec accuracy=52.392083 loss=2.015374 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.187500 acc-top5=77.500000 Batch [0099]/[0303]: acc-top1=53.093750 acc-top5=77.687500 Batch [0149]/[0303]: acc-top1=53.479167 acc-top5=78.322917 Batch [0199]/[0303]: acc-top1=53.703125 acc-top5=78.507812 Batch [0249]/[0303]: acc-top1=53.725000 acc-top5=78.656250 Batch [0299]/[0303]: acc-top1=53.588542 acc-top5=78.265625 [Epoch 024] training: accuracy=52.397773 loss=2.015070 [Epoch 024] speed: 69 samples/sec time cost: 3769.472700 [Epoch 024] validation: acc-top1=53.547855 acc-top5=78.233292 loss=2.084351 Epoch[025] Batch [0049]/[3760] Speed: 49.028566 samples/sec accuracy=54.125000 loss=1.913322 lr=0.010000 Epoch[025] Batch [0099]/[3760] Speed: 66.488194 samples/sec accuracy=54.062500 loss=1.925994 lr=0.010000 Epoch[025] Batch [0149]/[3760] Speed: 69.630917 samples/sec accuracy=52.989583 loss=1.962032 lr=0.010000 Epoch[025] Batch [0199]/[3760] Speed: 70.290101 samples/sec accuracy=53.023438 loss=1.962740 lr=0.010000 Epoch[025] Batch [0249]/[3760] Speed: 68.053162 samples/sec accuracy=53.143750 loss=1.958973 lr=0.010000 Epoch[025] Batch [0299]/[3760] Speed: 71.536619 samples/sec accuracy=53.010417 loss=1.965715 lr=0.010000 Epoch[025] Batch [0349]/[3760] Speed: 69.905411 samples/sec accuracy=53.022321 loss=1.965396 lr=0.010000 Epoch[025] Batch [0399]/[3760] Speed: 70.239327 samples/sec accuracy=52.992188 loss=1.966256 lr=0.010000 Epoch[025] Batch [0449]/[3760] Speed: 68.532832 samples/sec accuracy=52.944444 loss=1.972285 lr=0.010000 Epoch[025] Batch [0499]/[3760] Speed: 70.611766 samples/sec accuracy=52.781250 loss=1.978323 lr=0.010000 Epoch[025] Batch [0549]/[3760] Speed: 67.204842 samples/sec accuracy=52.747159 loss=1.980687 lr=0.010000 Epoch[025] Batch [0599]/[3760] Speed: 70.642607 samples/sec accuracy=52.781250 loss=1.984085 lr=0.010000 Epoch[025] Batch [0649]/[3760] Speed: 69.500423 samples/sec accuracy=52.802885 loss=1.985414 lr=0.010000 Epoch[025] Batch [0699]/[3760] Speed: 70.019570 samples/sec accuracy=52.792411 loss=1.985435 lr=0.010000 Epoch[025] Batch [0749]/[3760] Speed: 68.639889 samples/sec accuracy=52.758333 loss=1.986530 lr=0.010000 Epoch[025] Batch [0799]/[3760] Speed: 70.893411 samples/sec accuracy=52.822266 loss=1.984739 lr=0.010000 Epoch[025] Batch [0849]/[3760] Speed: 69.456286 samples/sec accuracy=52.994485 loss=1.979125 lr=0.010000 Epoch[025] 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accuracy=52.674769 loss=1.999090 lr=0.010000 Epoch[025] Batch [1399]/[3760] Speed: 69.501800 samples/sec accuracy=52.698661 loss=1.998139 lr=0.010000 Epoch[025] Batch [1449]/[3760] Speed: 70.362824 samples/sec accuracy=52.667026 loss=1.998314 lr=0.010000 Epoch[025] Batch [1499]/[3760] Speed: 69.957418 samples/sec accuracy=52.712500 loss=1.997418 lr=0.010000 Epoch[025] Batch [1549]/[3760] Speed: 69.171997 samples/sec accuracy=52.745968 loss=1.997101 lr=0.010000 Epoch[025] Batch [1599]/[3760] Speed: 69.827399 samples/sec accuracy=52.768555 loss=1.996578 lr=0.010000 Epoch[025] Batch [1649]/[3760] Speed: 70.508696 samples/sec accuracy=52.749053 loss=1.997120 lr=0.010000 Epoch[025] Batch [1699]/[3760] Speed: 70.228440 samples/sec accuracy=52.707721 loss=2.000335 lr=0.010000 Epoch[025] Batch [1749]/[3760] Speed: 69.223425 samples/sec accuracy=52.732143 loss=2.000013 lr=0.010000 Epoch[025] Batch [1799]/[3760] Speed: 70.725549 samples/sec accuracy=52.707465 loss=2.001239 lr=0.010000 Epoch[025] 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accuracy=52.695652 loss=2.003517 lr=0.010000 Epoch[025] Batch [2349]/[3760] Speed: 69.232439 samples/sec accuracy=52.695479 loss=2.003301 lr=0.010000 Epoch[025] Batch [2399]/[3760] Speed: 70.401554 samples/sec accuracy=52.710938 loss=2.002894 lr=0.010000 Epoch[025] Batch [2449]/[3760] Speed: 70.216302 samples/sec accuracy=52.754464 loss=2.001240 lr=0.010000 Epoch[025] Batch [2499]/[3760] Speed: 68.813939 samples/sec accuracy=52.787500 loss=1.999957 lr=0.010000 Epoch[025] Batch [2549]/[3760] Speed: 70.089793 samples/sec accuracy=52.780025 loss=1.999622 lr=0.010000 Epoch[025] Batch [2599]/[3760] Speed: 70.367356 samples/sec accuracy=52.745192 loss=2.000759 lr=0.010000 Epoch[025] Batch [2649]/[3760] Speed: 68.464597 samples/sec accuracy=52.751769 loss=2.000915 lr=0.010000 Epoch[025] Batch [2699]/[3760] Speed: 69.943102 samples/sec accuracy=52.758681 loss=2.000980 lr=0.010000 Epoch[025] Batch [2749]/[3760] Speed: 71.012343 samples/sec accuracy=52.722727 loss=2.002393 lr=0.010000 Epoch[025] Batch [2799]/[3760] Speed: 69.480227 samples/sec accuracy=52.716518 loss=2.001781 lr=0.010000 Epoch[025] Batch [2849]/[3760] Speed: 70.172644 samples/sec accuracy=52.718750 loss=2.001915 lr=0.010000 Epoch[025] Batch [2899]/[3760] Speed: 69.458069 samples/sec accuracy=52.698276 loss=2.003438 lr=0.010000 Epoch[025] Batch [2949]/[3760] Speed: 69.220322 samples/sec accuracy=52.675318 loss=2.004660 lr=0.010000 Epoch[025] Batch [2999]/[3760] Speed: 68.015984 samples/sec accuracy=52.681250 loss=2.004542 lr=0.010000 Epoch[025] Batch [3049]/[3760] Speed: 70.906740 samples/sec accuracy=52.689037 loss=2.004833 lr=0.010000 Epoch[025] Batch [3099]/[3760] Speed: 68.513229 samples/sec accuracy=52.692036 loss=2.005489 lr=0.010000 Epoch[025] Batch [3149]/[3760] Speed: 70.462071 samples/sec accuracy=52.679067 loss=2.005242 lr=0.010000 Epoch[025] Batch [3199]/[3760] Speed: 69.455127 samples/sec accuracy=52.671875 loss=2.005854 lr=0.010000 Epoch[025] Batch [3249]/[3760] Speed: 69.545159 samples/sec accuracy=52.670192 loss=2.006413 lr=0.010000 Epoch[025] Batch [3299]/[3760] Speed: 69.889346 samples/sec accuracy=52.662879 loss=2.007151 lr=0.010000 Epoch[025] Batch [3349]/[3760] Speed: 70.643036 samples/sec accuracy=52.683769 loss=2.006473 lr=0.010000 Epoch[025] Batch [3399]/[3760] Speed: 69.190064 samples/sec accuracy=52.658548 loss=2.006925 lr=0.010000 Epoch[025] Batch [3449]/[3760] Speed: 70.828152 samples/sec accuracy=52.660326 loss=2.006891 lr=0.010000 Epoch[025] Batch [3499]/[3760] Speed: 67.952517 samples/sec accuracy=52.675446 loss=2.006595 lr=0.010000 Epoch[025] Batch [3549]/[3760] Speed: 70.521341 samples/sec accuracy=52.673856 loss=2.006771 lr=0.010000 Epoch[025] Batch [3599]/[3760] Speed: 70.950942 samples/sec accuracy=52.675347 loss=2.006604 lr=0.010000 Epoch[025] Batch [3649]/[3760] Speed: 68.895060 samples/sec accuracy=52.672945 loss=2.006393 lr=0.010000 Epoch[025] Batch [3699]/[3760] Speed: 68.979884 samples/sec accuracy=52.672720 loss=2.006818 lr=0.010000 Epoch[025] Batch [3749]/[3760] Speed: 78.651838 samples/sec accuracy=52.674167 loss=2.006928 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.156250 acc-top5=77.093750 Batch [0099]/[0303]: acc-top1=51.500000 acc-top5=76.734375 Batch [0149]/[0303]: acc-top1=51.979167 acc-top5=77.531250 Batch [0199]/[0303]: acc-top1=52.226562 acc-top5=77.656250 Batch [0249]/[0303]: acc-top1=52.412500 acc-top5=77.775000 Batch [0299]/[0303]: acc-top1=52.166667 acc-top5=77.583333 [Epoch 025] training: accuracy=52.690741 loss=2.006207 [Epoch 025] speed: 69 samples/sec time cost: 3759.373072 [Epoch 025] validation: acc-top1=52.129744 acc-top5=77.557756 loss=2.177764 Epoch[026] Batch [0049]/[3759] Speed: 48.007163 samples/sec accuracy=54.875000 loss=1.958715 lr=0.010000 Epoch[026] Batch [0099]/[3759] Speed: 68.542039 samples/sec accuracy=54.218750 loss=1.979236 lr=0.010000 Epoch[026] Batch [0149]/[3759] Speed: 68.479268 samples/sec accuracy=54.052083 loss=1.978937 lr=0.010000 Epoch[026] Batch [0199]/[3759] Speed: 70.479758 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lr=0.010000 Epoch[026] Batch [0699]/[3759] Speed: 69.583675 samples/sec accuracy=53.754464 loss=1.965467 lr=0.010000 Epoch[026] Batch [0749]/[3759] Speed: 70.573205 samples/sec accuracy=53.747917 loss=1.965661 lr=0.010000 Epoch[026] Batch [0799]/[3759] Speed: 69.751207 samples/sec accuracy=53.625000 loss=1.968014 lr=0.010000 Epoch[026] Batch [0849]/[3759] Speed: 69.633829 samples/sec accuracy=53.547794 loss=1.967760 lr=0.010000 Epoch[026] Batch [0899]/[3759] Speed: 69.817031 samples/sec accuracy=53.506944 loss=1.967757 lr=0.010000 Epoch[026] Batch [0949]/[3759] Speed: 70.127795 samples/sec accuracy=53.486842 loss=1.968898 lr=0.010000 Epoch[026] Batch [0999]/[3759] Speed: 69.474425 samples/sec accuracy=53.443750 loss=1.968342 lr=0.010000 Epoch[026] Batch [1049]/[3759] Speed: 69.842944 samples/sec accuracy=53.430060 loss=1.969669 lr=0.010000 Epoch[026] Batch [1099]/[3759] Speed: 70.208051 samples/sec accuracy=53.392045 loss=1.970786 lr=0.010000 Epoch[026] Batch [1149]/[3759] Speed: 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lr=0.010000 Epoch[026] Batch [1649]/[3759] Speed: 71.079972 samples/sec accuracy=53.075758 loss=1.983801 lr=0.010000 Epoch[026] Batch [1699]/[3759] Speed: 69.254238 samples/sec accuracy=53.098346 loss=1.981949 lr=0.010000 Epoch[026] Batch [1749]/[3759] Speed: 70.237146 samples/sec accuracy=53.132143 loss=1.979443 lr=0.010000 Epoch[026] Batch [1799]/[3759] Speed: 68.765806 samples/sec accuracy=53.089410 loss=1.981036 lr=0.010000 Epoch[026] Batch [1849]/[3759] Speed: 70.505996 samples/sec accuracy=53.080236 loss=1.981792 lr=0.010000 Epoch[026] Batch [1899]/[3759] Speed: 68.514287 samples/sec accuracy=53.075658 loss=1.981457 lr=0.010000 Epoch[026] Batch [1949]/[3759] Speed: 69.591236 samples/sec accuracy=53.048878 loss=1.982334 lr=0.010000 Epoch[026] Batch [1999]/[3759] Speed: 69.046403 samples/sec accuracy=53.050000 loss=1.983572 lr=0.010000 Epoch[026] Batch [2049]/[3759] Speed: 69.276550 samples/sec accuracy=52.991616 loss=1.986658 lr=0.010000 Epoch[026] Batch [2099]/[3759] Speed: 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lr=0.010000 Epoch[026] Batch [2599]/[3759] Speed: 68.406708 samples/sec accuracy=52.882212 loss=1.991850 lr=0.010000 Epoch[026] Batch [2649]/[3759] Speed: 70.975570 samples/sec accuracy=52.863208 loss=1.993211 lr=0.010000 Epoch[026] Batch [2699]/[3759] Speed: 69.017302 samples/sec accuracy=52.839120 loss=1.994219 lr=0.010000 Epoch[026] Batch [2749]/[3759] Speed: 70.209906 samples/sec accuracy=52.842045 loss=1.994768 lr=0.010000 Epoch[026] Batch [2799]/[3759] Speed: 69.462664 samples/sec accuracy=52.860491 loss=1.993885 lr=0.010000 Epoch[026] Batch [2849]/[3759] Speed: 69.461153 samples/sec accuracy=52.876645 loss=1.992884 lr=0.010000 Epoch[026] Batch [2899]/[3759] Speed: 69.895516 samples/sec accuracy=52.873384 loss=1.993021 lr=0.010000 Epoch[026] Batch [2949]/[3759] Speed: 69.127333 samples/sec accuracy=52.868114 loss=1.993473 lr=0.010000 Epoch[026] Batch [2999]/[3759] Speed: 70.594842 samples/sec accuracy=52.835938 loss=1.994956 lr=0.010000 Epoch[026] Batch [3049]/[3759] Speed: 68.787260 samples/sec accuracy=52.807377 loss=1.996148 lr=0.010000 Epoch[026] Batch [3099]/[3759] Speed: 68.824539 samples/sec accuracy=52.775706 loss=1.997412 lr=0.010000 Epoch[026] Batch [3149]/[3759] Speed: 69.291079 samples/sec accuracy=52.788194 loss=1.996990 lr=0.010000 Epoch[026] Batch [3199]/[3759] Speed: 70.062014 samples/sec accuracy=52.770996 loss=1.997528 lr=0.010000 Epoch[026] Batch [3249]/[3759] Speed: 67.312200 samples/sec accuracy=52.800000 loss=1.997786 lr=0.010000 Epoch[026] Batch [3299]/[3759] Speed: 71.450819 samples/sec accuracy=52.811080 loss=1.997681 lr=0.010000 Epoch[026] Batch [3349]/[3759] Speed: 69.076652 samples/sec accuracy=52.808302 loss=1.998463 lr=0.010000 Epoch[026] Batch [3399]/[3759] Speed: 69.858612 samples/sec accuracy=52.813419 loss=1.998203 lr=0.010000 Epoch[026] Batch [3449]/[3759] Speed: 70.551200 samples/sec accuracy=52.805707 loss=1.998291 lr=0.010000 Epoch[026] Batch [3499]/[3759] Speed: 69.128217 samples/sec accuracy=52.798214 loss=1.998813 lr=0.010000 Epoch[026] Batch [3549]/[3759] Speed: 69.694940 samples/sec accuracy=52.776849 loss=1.999875 lr=0.010000 Epoch[026] Batch [3599]/[3759] Speed: 67.237674 samples/sec accuracy=52.759549 loss=2.000722 lr=0.010000 Epoch[026] Batch [3649]/[3759] Speed: 71.900301 samples/sec accuracy=52.738870 loss=2.001599 lr=0.010000 Epoch[026] Batch [3699]/[3759] Speed: 68.426916 samples/sec accuracy=52.755912 loss=2.000823 lr=0.010000 Epoch[026] Batch [3749]/[3759] Speed: 79.654472 samples/sec accuracy=52.746667 loss=2.001601 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.625000 acc-top5=78.125000 Batch [0099]/[0303]: acc-top1=54.187500 acc-top5=78.421875 Batch [0149]/[0303]: acc-top1=54.385417 acc-top5=78.822917 Batch [0199]/[0303]: acc-top1=54.578125 acc-top5=78.968750 Batch [0249]/[0303]: acc-top1=54.656250 acc-top5=79.118750 Batch [0299]/[0303]: acc-top1=54.473958 acc-top5=78.848958 [Epoch 026] training: accuracy=52.747988 loss=2.001776 [Epoch 026] speed: 69 samples/sec time cost: 3761.471425 [Epoch 026] validation: acc-top1=54.429662 acc-top5=78.795380 loss=2.028190 Epoch[027] Batch [0049]/[3760] Speed: 48.053145 samples/sec accuracy=53.375000 loss=1.943580 lr=0.010000 Epoch[027] Batch [0099]/[3760] Speed: 67.541814 samples/sec accuracy=53.906250 loss=1.949762 lr=0.010000 Epoch[027] Batch [0149]/[3760] Speed: 69.039405 samples/sec accuracy=53.739583 loss=1.947693 lr=0.010000 Epoch[027] Batch [0199]/[3760] Speed: 70.343388 samples/sec accuracy=53.437500 loss=1.956937 lr=0.010000 Epoch[027] Batch [0249]/[3760] Speed: 68.542847 samples/sec accuracy=53.343750 loss=1.964893 lr=0.010000 Epoch[027] Batch [0299]/[3760] Speed: 70.226530 samples/sec accuracy=53.656250 loss=1.952776 lr=0.010000 Epoch[027] Batch [0349]/[3760] Speed: 71.007105 samples/sec accuracy=53.589286 loss=1.950765 lr=0.010000 Epoch[027] Batch [0399]/[3760] Speed: 68.743167 samples/sec accuracy=53.394531 loss=1.954777 lr=0.010000 Epoch[027] Batch [0449]/[3760] Speed: 68.511720 samples/sec accuracy=53.430556 loss=1.951918 lr=0.010000 Epoch[027] Batch [0499]/[3760] Speed: 70.958877 samples/sec accuracy=53.406250 loss=1.954929 lr=0.010000 Epoch[027] Batch [0549]/[3760] Speed: 67.875330 samples/sec accuracy=53.400568 loss=1.954776 lr=0.010000 Epoch[027] Batch [0599]/[3760] Speed: 67.926200 samples/sec accuracy=53.531250 loss=1.950363 lr=0.010000 Epoch[027] Batch [0649]/[3760] Speed: 71.148845 samples/sec accuracy=53.598558 loss=1.948093 lr=0.010000 Epoch[027] Batch [0699]/[3760] Speed: 69.165936 samples/sec accuracy=53.533482 loss=1.951445 lr=0.010000 Epoch[027] Batch [0749]/[3760] Speed: 69.576286 samples/sec accuracy=53.545833 loss=1.949104 lr=0.010000 Epoch[027] Batch [0799]/[3760] Speed: 70.743855 samples/sec accuracy=53.501953 loss=1.950121 lr=0.010000 Epoch[027] Batch [0849]/[3760] Speed: 66.087781 samples/sec accuracy=53.487132 loss=1.954198 lr=0.010000 Epoch[027] Batch [0899]/[3760] Speed: 71.630764 samples/sec accuracy=53.541667 loss=1.953321 lr=0.010000 Epoch[027] 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accuracy=53.447545 loss=1.961219 lr=0.010000 Epoch[027] Batch [1449]/[3760] Speed: 66.136050 samples/sec accuracy=53.452586 loss=1.960994 lr=0.010000 Epoch[027] Batch [1499]/[3760] Speed: 71.338900 samples/sec accuracy=53.404167 loss=1.962375 lr=0.010000 Epoch[027] Batch [1549]/[3760] Speed: 68.465013 samples/sec accuracy=53.421371 loss=1.961623 lr=0.010000 Epoch[027] Batch [1599]/[3760] Speed: 71.122210 samples/sec accuracy=53.413086 loss=1.962952 lr=0.010000 Epoch[027] Batch [1649]/[3760] Speed: 69.170945 samples/sec accuracy=53.375947 loss=1.962655 lr=0.010000 Epoch[027] Batch [1699]/[3760] Speed: 70.390600 samples/sec accuracy=53.354779 loss=1.963144 lr=0.010000 Epoch[027] Batch [1749]/[3760] Speed: 68.680506 samples/sec accuracy=53.383036 loss=1.963879 lr=0.010000 Epoch[027] Batch [1799]/[3760] Speed: 70.234248 samples/sec accuracy=53.370660 loss=1.963971 lr=0.010000 Epoch[027] Batch [1849]/[3760] Speed: 67.879687 samples/sec accuracy=53.357264 loss=1.965197 lr=0.010000 Epoch[027] 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accuracy=53.228059 loss=1.971183 lr=0.010000 Epoch[027] Batch [2399]/[3760] Speed: 69.037997 samples/sec accuracy=53.194661 loss=1.972461 lr=0.010000 Epoch[027] Batch [2449]/[3760] Speed: 70.933726 samples/sec accuracy=53.186224 loss=1.973736 lr=0.010000 Epoch[027] Batch [2499]/[3760] Speed: 69.532379 samples/sec accuracy=53.155625 loss=1.975276 lr=0.010000 Epoch[027] Batch [2549]/[3760] Speed: 68.207326 samples/sec accuracy=53.153799 loss=1.976183 lr=0.010000 Epoch[027] Batch [2599]/[3760] Speed: 70.365243 samples/sec accuracy=53.149639 loss=1.976484 lr=0.010000 Epoch[027] Batch [2649]/[3760] Speed: 68.622004 samples/sec accuracy=53.136203 loss=1.976971 lr=0.010000 Epoch[027] Batch [2699]/[3760] Speed: 70.659226 samples/sec accuracy=53.142361 loss=1.977368 lr=0.010000 Epoch[027] Batch [2749]/[3760] Speed: 68.764425 samples/sec accuracy=53.114773 loss=1.978197 lr=0.010000 Epoch[027] Batch [2799]/[3760] Speed: 70.879949 samples/sec accuracy=53.100446 loss=1.979017 lr=0.010000 Epoch[027] 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accuracy=53.069602 loss=1.981691 lr=0.010000 Epoch[027] Batch [3349]/[3760] Speed: 69.902079 samples/sec accuracy=53.071828 loss=1.982235 lr=0.010000 Epoch[027] Batch [3399]/[3760] Speed: 69.767778 samples/sec accuracy=53.083640 loss=1.982218 lr=0.010000 Epoch[027] Batch [3449]/[3760] Speed: 70.461672 samples/sec accuracy=53.062953 loss=1.983516 lr=0.010000 Epoch[027] Batch [3499]/[3760] Speed: 70.223655 samples/sec accuracy=53.054464 loss=1.983796 lr=0.010000 Epoch[027] Batch [3549]/[3760] Speed: 69.418225 samples/sec accuracy=53.073944 loss=1.982870 lr=0.010000 Epoch[027] Batch [3599]/[3760] Speed: 68.378724 samples/sec accuracy=53.075955 loss=1.982915 lr=0.010000 Epoch[027] Batch [3649]/[3760] Speed: 69.691578 samples/sec accuracy=53.079623 loss=1.982500 lr=0.010000 Epoch[027] Batch [3699]/[3760] Speed: 71.452143 samples/sec accuracy=53.059966 loss=1.983419 lr=0.010000 Epoch[027] Batch [3749]/[3760] Speed: 76.648517 samples/sec accuracy=53.063750 loss=1.983664 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.687500 acc-top5=77.875000 Batch [0099]/[0303]: acc-top1=52.718750 acc-top5=77.890625 Batch [0149]/[0303]: acc-top1=53.218750 acc-top5=78.322917 Batch [0199]/[0303]: acc-top1=53.796875 acc-top5=78.515625 Batch [0249]/[0303]: acc-top1=53.868750 acc-top5=78.656250 Batch [0299]/[0303]: acc-top1=53.677083 acc-top5=78.484375 [Epoch 027] training: accuracy=53.063497 loss=1.983529 [Epoch 027] speed: 69 samples/sec time cost: 3767.793928 [Epoch 027] validation: acc-top1=53.681931 acc-top5=78.491130 loss=2.056067 Epoch[028] Batch [0049]/[3760] Speed: 47.403273 samples/sec accuracy=54.625000 loss=1.924072 lr=0.010000 Epoch[028] Batch [0099]/[3760] Speed: 70.114746 samples/sec accuracy=54.125000 loss=1.948630 lr=0.010000 Epoch[028] Batch [0149]/[3760] Speed: 69.028644 samples/sec accuracy=54.083333 loss=1.945456 lr=0.010000 Epoch[028] Batch [0199]/[3760] Speed: 69.064304 samples/sec accuracy=53.960937 loss=1.955037 lr=0.010000 Epoch[028] Batch [0249]/[3760] Speed: 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lr=0.010000 Epoch[028] Batch [2649]/[3760] Speed: 69.321230 samples/sec accuracy=53.439858 loss=1.973141 lr=0.010000 Epoch[028] Batch [2699]/[3760] Speed: 70.096658 samples/sec accuracy=53.406829 loss=1.974625 lr=0.010000 Epoch[028] Batch [2749]/[3760] Speed: 69.179455 samples/sec accuracy=53.388068 loss=1.976010 lr=0.010000 Epoch[028] Batch [2799]/[3760] Speed: 71.280820 samples/sec accuracy=53.318080 loss=1.978998 lr=0.010000 Epoch[028] Batch [2849]/[3760] Speed: 68.564343 samples/sec accuracy=53.304276 loss=1.980131 lr=0.010000 Epoch[028] Batch [2899]/[3760] Speed: 71.573678 samples/sec accuracy=53.274784 loss=1.981532 lr=0.010000 Epoch[028] Batch [2949]/[3760] Speed: 68.783114 samples/sec accuracy=53.313559 loss=1.979621 lr=0.010000 Epoch[028] Batch [2999]/[3760] Speed: 68.990735 samples/sec accuracy=53.317187 loss=1.979479 lr=0.010000 Epoch[028] Batch [3049]/[3760] Speed: 71.132588 samples/sec accuracy=53.324283 loss=1.979282 lr=0.010000 Epoch[028] Batch [3099]/[3760] Speed: 70.321954 samples/sec accuracy=53.332157 loss=1.978801 lr=0.010000 Epoch[028] Batch [3149]/[3760] Speed: 68.832615 samples/sec accuracy=53.318452 loss=1.980110 lr=0.010000 Epoch[028] Batch [3199]/[3760] Speed: 68.565251 samples/sec accuracy=53.312012 loss=1.980764 lr=0.010000 Epoch[028] Batch [3249]/[3760] Speed: 71.352431 samples/sec accuracy=53.298077 loss=1.981040 lr=0.010000 Epoch[028] Batch [3299]/[3760] Speed: 70.424813 samples/sec accuracy=53.272727 loss=1.981923 lr=0.010000 Epoch[028] Batch [3349]/[3760] Speed: 69.123223 samples/sec accuracy=53.277985 loss=1.981782 lr=0.010000 Epoch[028] Batch [3399]/[3760] Speed: 69.247581 samples/sec accuracy=53.250919 loss=1.982868 lr=0.010000 Epoch[028] Batch [3449]/[3760] Speed: 70.255907 samples/sec accuracy=53.230978 loss=1.983596 lr=0.010000 Epoch[028] Batch [3499]/[3760] Speed: 69.787030 samples/sec accuracy=53.249107 loss=1.983516 lr=0.010000 Epoch[028] Batch [3549]/[3760] Speed: 69.051637 samples/sec accuracy=53.251761 loss=1.983004 lr=0.010000 Epoch[028] Batch [3599]/[3760] Speed: 70.827257 samples/sec accuracy=53.226128 loss=1.984374 lr=0.010000 Epoch[028] Batch [3649]/[3760] Speed: 69.383286 samples/sec accuracy=53.212329 loss=1.984887 lr=0.010000 Epoch[028] Batch [3699]/[3760] Speed: 69.600310 samples/sec accuracy=53.226774 loss=1.984384 lr=0.010000 Epoch[028] Batch [3749]/[3760] Speed: 76.493367 samples/sec accuracy=53.237083 loss=1.983406 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.687500 acc-top5=78.000000 Batch [0099]/[0303]: acc-top1=52.421875 acc-top5=77.640625 Batch [0149]/[0303]: acc-top1=53.135417 acc-top5=78.072917 Batch [0199]/[0303]: acc-top1=53.234375 acc-top5=78.367188 Batch [0249]/[0303]: acc-top1=53.431250 acc-top5=78.525000 Batch [0299]/[0303]: acc-top1=53.302083 acc-top5=78.307292 [Epoch 028] training: accuracy=53.234707 loss=1.983058 [Epoch 028] speed: 69 samples/sec time cost: 3760.504089 [Epoch 028] validation: acc-top1=53.290017 acc-top5=78.295173 loss=2.063219 Epoch[029] Batch 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accuracy=53.887500 loss=1.946110 lr=0.010000 Epoch[029] Batch [0549]/[3759] Speed: 69.857497 samples/sec accuracy=53.855114 loss=1.951428 lr=0.010000 Epoch[029] Batch [0599]/[3759] Speed: 69.031454 samples/sec accuracy=53.955729 loss=1.945764 lr=0.010000 Epoch[029] Batch [0649]/[3759] Speed: 71.177359 samples/sec accuracy=53.973558 loss=1.947560 lr=0.010000 Epoch[029] Batch [0699]/[3759] Speed: 69.133997 samples/sec accuracy=53.921875 loss=1.949736 lr=0.010000 Epoch[029] Batch [0749]/[3759] Speed: 69.629005 samples/sec accuracy=53.958333 loss=1.948541 lr=0.010000 Epoch[029] Batch [0799]/[3759] Speed: 69.837486 samples/sec accuracy=53.927734 loss=1.951955 lr=0.010000 Epoch[029] Batch [0849]/[3759] Speed: 68.494928 samples/sec accuracy=53.974265 loss=1.948713 lr=0.010000 Epoch[029] Batch [0899]/[3759] Speed: 70.385731 samples/sec accuracy=53.980903 loss=1.947591 lr=0.010000 Epoch[029] Batch [0949]/[3759] Speed: 69.856237 samples/sec accuracy=53.963816 loss=1.948255 lr=0.010000 Epoch[029] 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accuracy=53.703664 loss=1.957743 lr=0.010000 Epoch[029] Batch [1499]/[3759] Speed: 67.580765 samples/sec accuracy=53.730208 loss=1.957344 lr=0.010000 Epoch[029] Batch [1549]/[3759] Speed: 70.223414 samples/sec accuracy=53.697581 loss=1.958298 lr=0.010000 Epoch[029] Batch [1599]/[3759] Speed: 71.649019 samples/sec accuracy=53.713867 loss=1.958005 lr=0.010000 Epoch[029] Batch [1649]/[3759] Speed: 68.451049 samples/sec accuracy=53.728220 loss=1.958030 lr=0.010000 Epoch[029] Batch [1699]/[3759] Speed: 70.785915 samples/sec accuracy=53.737132 loss=1.959092 lr=0.010000 Epoch[029] Batch [1749]/[3759] Speed: 69.622812 samples/sec accuracy=53.749107 loss=1.959181 lr=0.010000 Epoch[029] Batch [1799]/[3759] Speed: 68.426688 samples/sec accuracy=53.759549 loss=1.959121 lr=0.010000 Epoch[029] Batch [1849]/[3759] Speed: 70.490490 samples/sec accuracy=53.750845 loss=1.959526 lr=0.010000 Epoch[029] Batch [1899]/[3759] Speed: 70.406713 samples/sec accuracy=53.758224 loss=1.958972 lr=0.010000 Epoch[029] 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accuracy=53.688151 loss=1.959592 lr=0.010000 Epoch[029] Batch [2449]/[3759] Speed: 70.412810 samples/sec accuracy=53.655612 loss=1.961320 lr=0.010000 Epoch[029] Batch [2499]/[3759] Speed: 69.398003 samples/sec accuracy=53.659375 loss=1.960553 lr=0.010000 Epoch[029] Batch [2549]/[3759] Speed: 71.039193 samples/sec accuracy=53.643382 loss=1.961259 lr=0.010000 Epoch[029] Batch [2599]/[3759] Speed: 69.120677 samples/sec accuracy=53.660457 loss=1.960334 lr=0.010000 Epoch[029] Batch [2649]/[3759] Speed: 69.947518 samples/sec accuracy=53.658608 loss=1.960691 lr=0.010000 Epoch[029] Batch [2699]/[3759] Speed: 69.535036 samples/sec accuracy=53.630787 loss=1.962043 lr=0.010000 Epoch[029] Batch [2749]/[3759] Speed: 68.738010 samples/sec accuracy=53.646023 loss=1.961419 lr=0.010000 Epoch[029] Batch [2799]/[3759] Speed: 69.777761 samples/sec accuracy=53.659040 loss=1.961134 lr=0.010000 Epoch[029] Batch [2849]/[3759] Speed: 70.488409 samples/sec accuracy=53.671053 loss=1.961017 lr=0.010000 Epoch[029] 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accuracy=53.600280 loss=1.964980 lr=0.010000 Epoch[029] Batch [3399]/[3759] Speed: 70.732605 samples/sec accuracy=53.578585 loss=1.965428 lr=0.010000 Epoch[029] Batch [3449]/[3759] Speed: 70.579531 samples/sec accuracy=53.560236 loss=1.966508 lr=0.010000 Epoch[029] Batch [3499]/[3759] Speed: 68.851419 samples/sec accuracy=53.537054 loss=1.967175 lr=0.010000 Epoch[029] Batch [3549]/[3759] Speed: 71.213219 samples/sec accuracy=53.538732 loss=1.967410 lr=0.010000 Epoch[029] Batch [3599]/[3759] Speed: 64.548723 samples/sec accuracy=53.532118 loss=1.967524 lr=0.010000 Epoch[029] Batch [3649]/[3759] Speed: 74.303351 samples/sec accuracy=53.534247 loss=1.967670 lr=0.010000 Epoch[029] Batch [3699]/[3759] Speed: 67.747382 samples/sec accuracy=53.535473 loss=1.967853 lr=0.010000 Epoch[029] Batch [3749]/[3759] Speed: 77.997232 samples/sec accuracy=53.536250 loss=1.967550 lr=0.010000 Batch [0049]/[0303]: acc-top1=52.687500 acc-top5=77.531250 Batch [0099]/[0303]: acc-top1=53.125000 acc-top5=78.093750 Batch [0149]/[0303]: acc-top1=53.979167 acc-top5=78.645833 Batch [0199]/[0303]: acc-top1=54.234375 acc-top5=78.664062 Batch [0249]/[0303]: acc-top1=54.318750 acc-top5=78.843750 Batch [0299]/[0303]: acc-top1=54.140625 acc-top5=78.640625 [Epoch 029] training: accuracy=53.538591 loss=1.967556 [Epoch 029] speed: 69 samples/sec time cost: 3761.649311 [Epoch 029] validation: acc-top1=54.099629 acc-top5=78.604579 loss=2.030927 Epoch[030] Batch [0049]/[3760] Speed: 48.013370 samples/sec accuracy=53.750000 loss=1.927752 lr=0.010000 Epoch[030] Batch [0099]/[3760] Speed: 69.191895 samples/sec accuracy=53.890625 loss=1.950653 lr=0.010000 Epoch[030] Batch [0149]/[3760] Speed: 68.732184 samples/sec accuracy=53.989583 loss=1.948207 lr=0.010000 Epoch[030] Batch [0199]/[3760] Speed: 66.754426 samples/sec accuracy=54.085938 loss=1.945736 lr=0.010000 Epoch[030] Batch [0249]/[3760] Speed: 70.099745 samples/sec accuracy=54.381250 loss=1.934753 lr=0.010000 Epoch[030] Batch [0299]/[3760] 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accuracy=53.746324 loss=1.955526 lr=0.010000 Epoch[030] Batch [1749]/[3760] Speed: 68.063508 samples/sec accuracy=53.709821 loss=1.955809 lr=0.010000 Epoch[030] Batch [1799]/[3760] Speed: 70.768628 samples/sec accuracy=53.698785 loss=1.956142 lr=0.010000 Epoch[030] Batch [1849]/[3760] Speed: 67.368187 samples/sec accuracy=53.662162 loss=1.957829 lr=0.010000 Epoch[030] Batch [1899]/[3760] Speed: 72.096878 samples/sec accuracy=53.628289 loss=1.958769 lr=0.010000 Epoch[030] Batch [1949]/[3760] Speed: 69.003166 samples/sec accuracy=53.623397 loss=1.959208 lr=0.010000 Epoch[030] Batch [1999]/[3760] Speed: 68.232322 samples/sec accuracy=53.610156 loss=1.959906 lr=0.010000 Epoch[030] Batch [2049]/[3760] Speed: 71.185405 samples/sec accuracy=53.594512 loss=1.960624 lr=0.010000 Epoch[030] Batch [2099]/[3760] Speed: 69.115788 samples/sec accuracy=53.616815 loss=1.960326 lr=0.010000 Epoch[030] Batch [2149]/[3760] Speed: 68.709927 samples/sec accuracy=53.658430 loss=1.959011 lr=0.010000 Epoch[030] 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accuracy=53.637972 loss=1.960968 lr=0.010000 Epoch[030] Batch [2699]/[3760] Speed: 68.332235 samples/sec accuracy=53.613426 loss=1.961968 lr=0.010000 Epoch[030] Batch [2749]/[3760] Speed: 70.789514 samples/sec accuracy=53.640341 loss=1.960961 lr=0.010000 Epoch[030] Batch [2799]/[3760] Speed: 69.632929 samples/sec accuracy=53.646763 loss=1.961037 lr=0.010000 Epoch[030] Batch [2849]/[3760] Speed: 68.713068 samples/sec accuracy=53.648575 loss=1.961503 lr=0.010000 Epoch[030] Batch [2899]/[3760] Speed: 71.352329 samples/sec accuracy=53.652478 loss=1.962324 lr=0.010000 Epoch[030] Batch [2949]/[3760] Speed: 67.608755 samples/sec accuracy=53.643538 loss=1.962675 lr=0.010000 Epoch[030] Batch [2999]/[3760] Speed: 71.640078 samples/sec accuracy=53.650000 loss=1.962011 lr=0.010000 Epoch[030] Batch [3049]/[3760] Speed: 69.032787 samples/sec accuracy=53.646516 loss=1.962508 lr=0.010000 Epoch[030] Batch [3099]/[3760] Speed: 69.206106 samples/sec accuracy=53.643145 loss=1.961745 lr=0.010000 Epoch[030] Batch [3149]/[3760] Speed: 70.999904 samples/sec accuracy=53.636905 loss=1.961853 lr=0.010000 Epoch[030] Batch [3199]/[3760] Speed: 70.332989 samples/sec accuracy=53.625977 loss=1.962234 lr=0.010000 Epoch[030] Batch [3249]/[3760] Speed: 68.345307 samples/sec accuracy=53.640865 loss=1.962582 lr=0.010000 Epoch[030] Batch [3299]/[3760] Speed: 71.114794 samples/sec accuracy=53.605587 loss=1.964027 lr=0.010000 Epoch[030] Batch [3349]/[3760] Speed: 68.690873 samples/sec accuracy=53.594216 loss=1.964218 lr=0.010000 Epoch[030] Batch [3399]/[3760] Speed: 71.201680 samples/sec accuracy=53.630055 loss=1.962842 lr=0.010000 Epoch[030] Batch [3449]/[3760] Speed: 68.598548 samples/sec accuracy=53.639493 loss=1.962305 lr=0.010000 Epoch[030] Batch [3499]/[3760] Speed: 69.729209 samples/sec accuracy=53.647768 loss=1.962278 lr=0.010000 Epoch[030] Batch [3549]/[3760] Speed: 69.698875 samples/sec accuracy=53.631602 loss=1.962311 lr=0.010000 Epoch[030] Batch [3599]/[3760] Speed: 69.733917 samples/sec accuracy=53.627170 loss=1.962670 lr=0.010000 Epoch[030] Batch [3649]/[3760] Speed: 68.845083 samples/sec accuracy=53.606592 loss=1.963514 lr=0.010000 Epoch[030] Batch [3699]/[3760] Speed: 67.973570 samples/sec accuracy=53.598818 loss=1.964558 lr=0.010000 Epoch[030] Batch [3749]/[3760] Speed: 78.006828 samples/sec accuracy=53.597917 loss=1.964887 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.718750 acc-top5=77.937500 Batch [0099]/[0303]: acc-top1=53.750000 acc-top5=78.015625 Batch [0149]/[0303]: acc-top1=54.000000 acc-top5=78.552083 Batch [0199]/[0303]: acc-top1=54.257812 acc-top5=78.828125 Batch [0249]/[0303]: acc-top1=54.318750 acc-top5=78.762500 Batch [0299]/[0303]: acc-top1=54.072917 acc-top5=78.510417 [Epoch 030] training: accuracy=53.597906 loss=1.964972 [Epoch 030] speed: 69 samples/sec time cost: 3767.071199 [Epoch 030] validation: acc-top1=54.058375 acc-top5=78.485974 loss=2.046966 Epoch[031] Batch [0049]/[3760] Speed: 48.190521 samples/sec accuracy=55.343750 loss=1.860764 lr=0.010000 Epoch[031] Batch [0099]/[3760] Speed: 68.346049 samples/sec accuracy=54.796875 loss=1.919288 lr=0.010000 Epoch[031] Batch [0149]/[3760] Speed: 67.707063 samples/sec accuracy=54.781250 loss=1.916808 lr=0.010000 Epoch[031] Batch [0199]/[3760] Speed: 70.688704 samples/sec accuracy=54.710938 loss=1.911616 lr=0.010000 Epoch[031] Batch [0249]/[3760] Speed: 70.674853 samples/sec accuracy=54.750000 loss=1.909824 lr=0.010000 Epoch[031] Batch [0299]/[3760] Speed: 69.468505 samples/sec accuracy=54.744792 loss=1.909177 lr=0.010000 Epoch[031] Batch [0349]/[3760] Speed: 69.877602 samples/sec accuracy=54.709821 loss=1.908712 lr=0.010000 Epoch[031] Batch [0399]/[3760] Speed: 70.099176 samples/sec accuracy=54.761719 loss=1.908078 lr=0.010000 Epoch[031] Batch [0449]/[3760] Speed: 69.317793 samples/sec accuracy=54.677083 loss=1.912687 lr=0.010000 Epoch[031] Batch [0499]/[3760] Speed: 70.114503 samples/sec accuracy=54.559375 loss=1.918832 lr=0.010000 Epoch[031] Batch [0549]/[3760] Speed: 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lr=0.010000 Epoch[031] Batch [2949]/[3760] Speed: 69.841043 samples/sec accuracy=53.766949 loss=1.954234 lr=0.010000 Epoch[031] Batch [2999]/[3760] Speed: 70.057396 samples/sec accuracy=53.740625 loss=1.955130 lr=0.010000 Epoch[031] Batch [3049]/[3760] Speed: 69.911460 samples/sec accuracy=53.736680 loss=1.955817 lr=0.010000 Epoch[031] Batch [3099]/[3760] Speed: 68.771148 samples/sec accuracy=53.732863 loss=1.955928 lr=0.010000 Epoch[031] Batch [3149]/[3760] Speed: 70.314494 samples/sec accuracy=53.737599 loss=1.956100 lr=0.010000 Epoch[031] Batch [3199]/[3760] Speed: 69.743853 samples/sec accuracy=53.732910 loss=1.956853 lr=0.010000 Epoch[031] Batch [3249]/[3760] Speed: 69.802929 samples/sec accuracy=53.726442 loss=1.956512 lr=0.010000 Epoch[031] Batch [3299]/[3760] Speed: 70.620481 samples/sec accuracy=53.732955 loss=1.956038 lr=0.010000 Epoch[031] Batch [3349]/[3760] Speed: 68.900277 samples/sec accuracy=53.747201 loss=1.955622 lr=0.010000 Epoch[031] Batch [3399]/[3760] Speed: 68.574150 samples/sec accuracy=53.739890 loss=1.955786 lr=0.010000 Epoch[031] Batch [3449]/[3760] Speed: 71.003621 samples/sec accuracy=53.758605 loss=1.954980 lr=0.010000 Epoch[031] Batch [3499]/[3760] Speed: 69.994735 samples/sec accuracy=53.776339 loss=1.954843 lr=0.010000 Epoch[031] Batch [3549]/[3760] Speed: 71.023556 samples/sec accuracy=53.768046 loss=1.955482 lr=0.010000 Epoch[031] Batch [3599]/[3760] Speed: 68.823681 samples/sec accuracy=53.744358 loss=1.956703 lr=0.010000 Epoch[031] Batch [3649]/[3760] Speed: 69.985877 samples/sec accuracy=53.734589 loss=1.956901 lr=0.010000 Epoch[031] Batch [3699]/[3760] Speed: 69.876485 samples/sec accuracy=53.730574 loss=1.957371 lr=0.010000 Epoch[031] Batch [3749]/[3760] Speed: 77.198420 samples/sec accuracy=53.718750 loss=1.957420 lr=0.010000 Batch [0049]/[0303]: acc-top1=53.031250 acc-top5=78.531250 Batch [0099]/[0303]: acc-top1=52.625000 acc-top5=78.093750 Batch [0149]/[0303]: acc-top1=53.479167 acc-top5=78.708333 Batch [0199]/[0303]: acc-top1=54.054688 acc-top5=78.984375 Batch [0249]/[0303]: acc-top1=54.018750 acc-top5=79.262500 Batch [0299]/[0303]: acc-top1=53.890625 acc-top5=79.000000 [Epoch 031] training: accuracy=53.725066 loss=1.957167 [Epoch 031] speed: 69 samples/sec time cost: 3756.870546 [Epoch 031] validation: acc-top1=53.846947 acc-top5=78.996493 loss=2.039789 Epoch[032] Batch [0049]/[3759] Speed: 48.853311 samples/sec accuracy=54.500000 loss=1.918217 lr=0.010000 Epoch[032] Batch [0099]/[3759] Speed: 67.838768 samples/sec accuracy=54.078125 loss=1.953114 lr=0.010000 Epoch[032] Batch [0149]/[3759] Speed: 69.746590 samples/sec accuracy=53.406250 loss=1.957096 lr=0.010000 Epoch[032] Batch [0199]/[3759] Speed: 69.460610 samples/sec accuracy=53.484375 loss=1.947059 lr=0.010000 Epoch[032] Batch [0249]/[3759] Speed: 69.769594 samples/sec accuracy=53.850000 loss=1.940099 lr=0.010000 Epoch[032] Batch [0299]/[3759] Speed: 69.070901 samples/sec accuracy=54.098958 loss=1.931165 lr=0.010000 Epoch[032] Batch 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accuracy=53.875000 loss=1.949348 lr=0.010000 Epoch[032] Batch [1799]/[3759] Speed: 71.274383 samples/sec accuracy=53.875000 loss=1.950094 lr=0.010000 Epoch[032] Batch [1849]/[3759] Speed: 69.725937 samples/sec accuracy=53.880068 loss=1.950488 lr=0.010000 Epoch[032] Batch [1899]/[3759] Speed: 69.274410 samples/sec accuracy=53.904605 loss=1.950211 lr=0.010000 Epoch[032] Batch [1949]/[3759] Speed: 70.185939 samples/sec accuracy=53.906250 loss=1.950472 lr=0.010000 Epoch[032] Batch [1999]/[3759] Speed: 69.422916 samples/sec accuracy=53.903125 loss=1.951198 lr=0.010000 Epoch[032] Batch [2049]/[3759] Speed: 69.817707 samples/sec accuracy=53.964177 loss=1.949025 lr=0.010000 Epoch[032] Batch [2099]/[3759] Speed: 68.700866 samples/sec accuracy=53.958333 loss=1.948320 lr=0.010000 Epoch[032] Batch [2149]/[3759] Speed: 70.992716 samples/sec accuracy=53.943314 loss=1.949353 lr=0.010000 Epoch[032] Batch [2199]/[3759] Speed: 69.808093 samples/sec accuracy=53.942472 loss=1.949389 lr=0.010000 Epoch[032] 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accuracy=53.863426 loss=1.954394 lr=0.010000 Epoch[032] Batch [2749]/[3759] Speed: 70.187503 samples/sec accuracy=53.890909 loss=1.953591 lr=0.010000 Epoch[032] Batch [2799]/[3759] Speed: 70.597401 samples/sec accuracy=53.854911 loss=1.954282 lr=0.010000 Epoch[032] Batch [2849]/[3759] Speed: 68.235827 samples/sec accuracy=53.859101 loss=1.954137 lr=0.010000 Epoch[032] Batch [2899]/[3759] Speed: 67.612492 samples/sec accuracy=53.842672 loss=1.954691 lr=0.010000 Epoch[032] Batch [2949]/[3759] Speed: 69.545201 samples/sec accuracy=53.838453 loss=1.954801 lr=0.010000 Epoch[032] Batch [2999]/[3759] Speed: 72.220008 samples/sec accuracy=53.826042 loss=1.955023 lr=0.010000 Epoch[032] Batch [3049]/[3759] Speed: 67.780271 samples/sec accuracy=53.826332 loss=1.955363 lr=0.010000 Epoch[032] Batch [3099]/[3759] Speed: 71.256264 samples/sec accuracy=53.836694 loss=1.954751 lr=0.010000 Epoch[032] Batch [3149]/[3759] Speed: 68.700449 samples/sec accuracy=53.837302 loss=1.955199 lr=0.010000 Epoch[032] 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accuracy=53.786815 loss=1.958990 lr=0.010000 Epoch[032] Batch [3699]/[3759] Speed: 70.634469 samples/sec accuracy=53.776605 loss=1.959365 lr=0.010000 Epoch[032] Batch [3749]/[3759] Speed: 77.537692 samples/sec accuracy=53.788333 loss=1.958394 lr=0.010000 Batch [0049]/[0303]: acc-top1=53.906250 acc-top5=79.000000 Batch [0099]/[0303]: acc-top1=54.218750 acc-top5=78.640625 Batch [0149]/[0303]: acc-top1=55.052083 acc-top5=79.302083 Batch [0199]/[0303]: acc-top1=55.726562 acc-top5=79.562500 Batch [0249]/[0303]: acc-top1=55.731250 acc-top5=79.700000 Batch [0299]/[0303]: acc-top1=55.453125 acc-top5=79.520833 [Epoch 032] training: accuracy=53.786745 loss=1.958506 [Epoch 032] speed: 69 samples/sec time cost: 3758.098127 [Epoch 032] validation: acc-top1=55.383663 acc-top5=79.445132 loss=1.985938 Epoch[033] Batch [0049]/[3760] Speed: 48.574225 samples/sec accuracy=55.500000 loss=1.857870 lr=0.010000 Epoch[033] Batch [0099]/[3760] Speed: 68.269300 samples/sec accuracy=55.421875 loss=1.868860 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lr=0.010000 Epoch[033] Batch [2999]/[3760] Speed: 69.380639 samples/sec accuracy=54.043229 loss=1.938788 lr=0.010000 Epoch[033] Batch [3049]/[3760] Speed: 69.089172 samples/sec accuracy=54.056865 loss=1.938721 lr=0.010000 Epoch[033] Batch [3099]/[3760] Speed: 70.662108 samples/sec accuracy=54.028226 loss=1.940136 lr=0.010000 Epoch[033] Batch [3149]/[3760] Speed: 69.464257 samples/sec accuracy=54.026290 loss=1.939929 lr=0.010000 Epoch[033] Batch [3199]/[3760] Speed: 70.511357 samples/sec accuracy=54.024414 loss=1.940779 lr=0.010000 Epoch[033] Batch [3249]/[3760] Speed: 68.287895 samples/sec accuracy=54.009135 loss=1.941181 lr=0.010000 Epoch[033] Batch [3299]/[3760] Speed: 70.326653 samples/sec accuracy=54.014678 loss=1.941048 lr=0.010000 Epoch[033] Batch [3349]/[3760] Speed: 70.401963 samples/sec accuracy=54.005597 loss=1.941232 lr=0.010000 Epoch[033] Batch [3399]/[3760] Speed: 70.549845 samples/sec accuracy=54.006434 loss=1.941076 lr=0.010000 Epoch[033] Batch [3449]/[3760] Speed: 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[0299]/[0303]: acc-top1=54.604167 acc-top5=79.156250 [Epoch 033] training: accuracy=53.941988 loss=1.943971 [Epoch 033] speed: 69 samples/sec time cost: 3763.992796 [Epoch 033] validation: acc-top1=54.579208 acc-top5=79.146040 loss=1.998207 Epoch[034] Batch [0049]/[3759] Speed: 47.792370 samples/sec accuracy=53.843750 loss=1.912849 lr=0.010000 Epoch[034] Batch [0099]/[3759] Speed: 69.053457 samples/sec accuracy=54.921875 loss=1.891521 lr=0.010000 Epoch[034] Batch [0149]/[3759] Speed: 70.097442 samples/sec accuracy=54.968750 loss=1.882895 lr=0.010000 Epoch[034] Batch [0199]/[3759] Speed: 69.571572 samples/sec accuracy=54.570312 loss=1.898758 lr=0.010000 Epoch[034] Batch [0249]/[3759] Speed: 70.891408 samples/sec accuracy=54.568750 loss=1.893556 lr=0.010000 Epoch[034] Batch [0299]/[3759] Speed: 70.340881 samples/sec accuracy=54.640625 loss=1.896581 lr=0.010000 Epoch[034] Batch [0349]/[3759] Speed: 68.643717 samples/sec accuracy=54.540179 loss=1.906421 lr=0.010000 Epoch[034] Batch 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accuracy=54.558824 loss=1.912756 lr=0.010000 Epoch[034] Batch [0899]/[3759] Speed: 69.935678 samples/sec accuracy=54.543403 loss=1.915470 lr=0.010000 Epoch[034] Batch [0949]/[3759] Speed: 69.947504 samples/sec accuracy=54.544408 loss=1.916303 lr=0.010000 Epoch[034] Batch [0999]/[3759] Speed: 69.167235 samples/sec accuracy=54.554688 loss=1.915571 lr=0.010000 Epoch[034] Batch [1049]/[3759] Speed: 70.212467 samples/sec accuracy=54.498512 loss=1.918409 lr=0.010000 Epoch[034] Batch [1099]/[3759] Speed: 69.693620 samples/sec accuracy=54.522727 loss=1.915869 lr=0.010000 Epoch[034] Batch [1149]/[3759] Speed: 70.322394 samples/sec accuracy=54.480978 loss=1.918417 lr=0.010000 Epoch[034] Batch [1199]/[3759] Speed: 68.444469 samples/sec accuracy=54.460937 loss=1.918680 lr=0.010000 Epoch[034] Batch [1249]/[3759] Speed: 70.961660 samples/sec accuracy=54.447500 loss=1.917610 lr=0.010000 Epoch[034] Batch [1299]/[3759] Speed: 70.485977 samples/sec accuracy=54.406250 loss=1.917858 lr=0.010000 Epoch[034] 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accuracy=54.445312 loss=1.919451 lr=0.010000 Epoch[034] Batch [1849]/[3759] Speed: 68.723362 samples/sec accuracy=54.392736 loss=1.919861 lr=0.010000 Epoch[034] Batch [1899]/[3759] Speed: 69.984364 samples/sec accuracy=54.349507 loss=1.922343 lr=0.010000 Epoch[034] Batch [1949]/[3759] Speed: 70.173947 samples/sec accuracy=54.330929 loss=1.923469 lr=0.010000 Epoch[034] Batch [1999]/[3759] Speed: 69.507350 samples/sec accuracy=54.303125 loss=1.924878 lr=0.010000 Epoch[034] Batch [2049]/[3759] Speed: 69.967449 samples/sec accuracy=54.284299 loss=1.924854 lr=0.010000 Epoch[034] Batch [2099]/[3759] Speed: 70.509566 samples/sec accuracy=54.322173 loss=1.923331 lr=0.010000 Epoch[034] Batch [2149]/[3759] Speed: 68.956273 samples/sec accuracy=54.300145 loss=1.924493 lr=0.010000 Epoch[034] Batch [2199]/[3759] Speed: 70.558539 samples/sec accuracy=54.311790 loss=1.923861 lr=0.010000 Epoch[034] Batch [2249]/[3759] Speed: 68.300456 samples/sec accuracy=54.286806 loss=1.924955 lr=0.010000 Epoch[034] 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accuracy=54.290909 loss=1.926584 lr=0.010000 Epoch[034] Batch [2799]/[3759] Speed: 70.892484 samples/sec accuracy=54.261719 loss=1.927694 lr=0.010000 Epoch[034] Batch [2849]/[3759] Speed: 69.956097 samples/sec accuracy=54.263706 loss=1.927938 lr=0.010000 Epoch[034] Batch [2899]/[3759] Speed: 69.861243 samples/sec accuracy=54.255388 loss=1.928772 lr=0.010000 Epoch[034] Batch [2949]/[3759] Speed: 69.442778 samples/sec accuracy=54.272246 loss=1.928244 lr=0.010000 Epoch[034] Batch [2999]/[3759] Speed: 70.673941 samples/sec accuracy=54.268229 loss=1.928229 lr=0.010000 Epoch[034] Batch [3049]/[3759] Speed: 68.620988 samples/sec accuracy=54.229508 loss=1.930339 lr=0.010000 Epoch[034] Batch [3099]/[3759] Speed: 70.299978 samples/sec accuracy=54.194052 loss=1.931629 lr=0.010000 Epoch[034] Batch [3149]/[3759] Speed: 70.196947 samples/sec accuracy=54.166171 loss=1.932981 lr=0.010000 Epoch[034] Batch [3199]/[3759] Speed: 69.858914 samples/sec accuracy=54.160645 loss=1.933170 lr=0.010000 Epoch[034] Batch [3249]/[3759] Speed: 69.406380 samples/sec accuracy=54.118750 loss=1.934714 lr=0.010000 Epoch[034] Batch [3299]/[3759] Speed: 68.788374 samples/sec accuracy=54.111742 loss=1.935565 lr=0.010000 Epoch[034] Batch [3349]/[3759] Speed: 68.448539 samples/sec accuracy=54.106810 loss=1.935762 lr=0.010000 Epoch[034] Batch [3399]/[3759] Speed: 71.054315 samples/sec accuracy=54.089154 loss=1.936256 lr=0.010000 Epoch[034] Batch [3449]/[3759] Speed: 70.016877 samples/sec accuracy=54.090580 loss=1.936458 lr=0.010000 Epoch[034] Batch [3499]/[3759] Speed: 69.622432 samples/sec accuracy=54.093750 loss=1.936618 lr=0.010000 Epoch[034] Batch [3549]/[3759] Speed: 70.374727 samples/sec accuracy=54.077025 loss=1.937262 lr=0.010000 Epoch[034] Batch [3599]/[3759] Speed: 69.784020 samples/sec accuracy=54.075955 loss=1.937802 lr=0.010000 Epoch[034] Batch [3649]/[3759] Speed: 70.480522 samples/sec accuracy=54.057791 loss=1.938594 lr=0.010000 Epoch[034] Batch [3699]/[3759] Speed: 68.545759 samples/sec accuracy=54.055321 loss=1.939185 lr=0.010000 Epoch[034] Batch [3749]/[3759] Speed: 78.508907 samples/sec accuracy=54.043750 loss=1.939627 lr=0.010000 Batch [0049]/[0303]: acc-top1=54.281250 acc-top5=78.281250 Batch [0099]/[0303]: acc-top1=54.250000 acc-top5=78.437500 Batch [0149]/[0303]: acc-top1=55.031250 acc-top5=78.791667 Batch [0199]/[0303]: acc-top1=55.031250 acc-top5=78.937500 Batch [0249]/[0303]: acc-top1=55.231250 acc-top5=79.206250 Batch [0299]/[0303]: acc-top1=54.979167 acc-top5=79.036458 [Epoch 034] training: accuracy=54.048617 loss=1.939711 [Epoch 034] speed: 69 samples/sec time cost: 3758.468267 [Epoch 034] validation: acc-top1=54.940182 acc-top5=78.986180 loss=1.981978 Epoch[035] Batch [0049]/[3760] Speed: 47.412173 samples/sec accuracy=54.000000 loss=1.910897 lr=0.010000 Epoch[035] Batch [0099]/[3760] Speed: 68.938389 samples/sec accuracy=54.484375 loss=1.923873 lr=0.010000 Epoch[035] Batch [0149]/[3760] Speed: 68.945087 samples/sec accuracy=54.947917 loss=1.900884 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[Epoch 035] speed: 69 samples/sec time cost: 3765.418977 [Epoch 035] validation: acc-top1=53.888201 acc-top5=78.357054 loss=2.045827 Epoch[036] Batch [0049]/[3760] Speed: 49.359299 samples/sec accuracy=55.750000 loss=1.839590 lr=0.010000 Epoch[036] Batch [0099]/[3760] Speed: 67.672244 samples/sec accuracy=54.843750 loss=1.882685 lr=0.010000 Epoch[036] Batch [0149]/[3760] Speed: 66.704609 samples/sec accuracy=55.020833 loss=1.879656 lr=0.010000 Epoch[036] Batch [0199]/[3760] Speed: 72.283188 samples/sec accuracy=54.789062 loss=1.894684 lr=0.010000 Epoch[036] Batch [0249]/[3760] Speed: 68.892615 samples/sec accuracy=54.718750 loss=1.912899 lr=0.010000 Epoch[036] Batch [0299]/[3760] Speed: 69.457496 samples/sec accuracy=54.640625 loss=1.908834 lr=0.010000 Epoch[036] Batch [0349]/[3760] Speed: 70.045116 samples/sec accuracy=54.544643 loss=1.910766 lr=0.010000 Epoch[036] Batch [0399]/[3760] Speed: 70.633390 samples/sec accuracy=54.554688 loss=1.909438 lr=0.010000 Epoch[036] Batch 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accuracy=54.282986 loss=1.924037 lr=0.010000 Epoch[036] Batch [0949]/[3760] Speed: 69.264026 samples/sec accuracy=54.289474 loss=1.924131 lr=0.010000 Epoch[036] Batch [0999]/[3760] Speed: 69.363601 samples/sec accuracy=54.335938 loss=1.923042 lr=0.010000 Epoch[036] Batch [1049]/[3760] Speed: 70.169361 samples/sec accuracy=54.311012 loss=1.922931 lr=0.010000 Epoch[036] Batch [1099]/[3760] Speed: 70.170011 samples/sec accuracy=54.321023 loss=1.921743 lr=0.010000 Epoch[036] Batch [1149]/[3760] Speed: 69.212537 samples/sec accuracy=54.365489 loss=1.920985 lr=0.010000 Epoch[036] Batch [1199]/[3760] Speed: 68.694134 samples/sec accuracy=54.376302 loss=1.921311 lr=0.010000 Epoch[036] Batch [1249]/[3760] Speed: 68.581673 samples/sec accuracy=54.302500 loss=1.924927 lr=0.010000 Epoch[036] Batch [1299]/[3760] Speed: 68.444908 samples/sec accuracy=54.281250 loss=1.926590 lr=0.010000 Epoch[036] Batch [1349]/[3760] Speed: 71.284339 samples/sec accuracy=54.296296 loss=1.925898 lr=0.010000 Epoch[036] 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accuracy=54.075169 loss=1.937348 lr=0.010000 Epoch[036] Batch [1899]/[3760] Speed: 67.356373 samples/sec accuracy=54.117599 loss=1.936178 lr=0.010000 Epoch[036] Batch [1949]/[3760] Speed: 68.788712 samples/sec accuracy=54.107372 loss=1.936285 lr=0.010000 Epoch[036] Batch [1999]/[3760] Speed: 70.639961 samples/sec accuracy=54.121875 loss=1.936208 lr=0.010000 Epoch[036] Batch [2049]/[3760] Speed: 69.172742 samples/sec accuracy=54.142530 loss=1.935441 lr=0.010000 Epoch[036] Batch [2099]/[3760] Speed: 70.233879 samples/sec accuracy=54.098958 loss=1.937243 lr=0.010000 Epoch[036] Batch [2149]/[3760] Speed: 70.514690 samples/sec accuracy=54.111919 loss=1.937131 lr=0.010000 Epoch[036] Batch [2199]/[3760] Speed: 68.556606 samples/sec accuracy=54.107955 loss=1.937325 lr=0.010000 Epoch[036] Batch [2249]/[3760] Speed: 69.868859 samples/sec accuracy=54.097222 loss=1.938879 lr=0.010000 Epoch[036] Batch [2299]/[3760] Speed: 70.356568 samples/sec accuracy=54.108016 loss=1.937933 lr=0.010000 Epoch[036] 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accuracy=54.049665 loss=1.941270 lr=0.010000 Epoch[036] Batch [2849]/[3760] Speed: 69.995131 samples/sec accuracy=54.059759 loss=1.941145 lr=0.010000 Epoch[036] Batch [2899]/[3760] Speed: 68.752443 samples/sec accuracy=54.072737 loss=1.940776 lr=0.010000 Epoch[036] Batch [2949]/[3760] Speed: 70.225073 samples/sec accuracy=54.050318 loss=1.941137 lr=0.010000 Epoch[036] Batch [2999]/[3760] Speed: 69.624131 samples/sec accuracy=54.048958 loss=1.941545 lr=0.010000 Epoch[036] Batch [3049]/[3760] Speed: 69.690433 samples/sec accuracy=54.064549 loss=1.941459 lr=0.010000 Epoch[036] Batch [3099]/[3760] Speed: 70.474307 samples/sec accuracy=54.103327 loss=1.940579 lr=0.010000 Epoch[036] Batch [3149]/[3760] Speed: 69.123727 samples/sec accuracy=54.097718 loss=1.940601 lr=0.010000 Epoch[036] Batch [3199]/[3760] Speed: 68.431532 samples/sec accuracy=54.131836 loss=1.939909 lr=0.010000 Epoch[036] Batch [3249]/[3760] Speed: 68.904532 samples/sec accuracy=54.103365 loss=1.940592 lr=0.010000 Epoch[036] Batch [3299]/[3760] Speed: 70.763705 samples/sec accuracy=54.116477 loss=1.939797 lr=0.010000 Epoch[036] Batch [3349]/[3760] Speed: 70.930690 samples/sec accuracy=54.099813 loss=1.940489 lr=0.010000 Epoch[036] Batch [3399]/[3760] Speed: 67.423201 samples/sec accuracy=54.123621 loss=1.939350 lr=0.010000 Epoch[036] Batch [3449]/[3760] Speed: 71.640077 samples/sec accuracy=54.118659 loss=1.939420 lr=0.010000 Epoch[036] Batch [3499]/[3760] Speed: 68.310214 samples/sec accuracy=54.120536 loss=1.939110 lr=0.010000 Epoch[036] Batch [3549]/[3760] Speed: 70.902853 samples/sec accuracy=54.115757 loss=1.939069 lr=0.010000 Epoch[036] Batch [3599]/[3760] Speed: 70.316697 samples/sec accuracy=54.134983 loss=1.938393 lr=0.010000 Epoch[036] Batch [3649]/[3760] Speed: 69.114188 samples/sec accuracy=54.148116 loss=1.938334 lr=0.010000 Epoch[036] Batch [3699]/[3760] Speed: 69.513413 samples/sec accuracy=54.145693 loss=1.938886 lr=0.010000 Epoch[036] Batch [3749]/[3760] Speed: 76.404753 samples/sec accuracy=54.161250 loss=1.938702 lr=0.010000 Batch [0049]/[0303]: acc-top1=53.875000 acc-top5=78.281250 Batch [0099]/[0303]: acc-top1=53.828125 acc-top5=78.343750 Batch [0149]/[0303]: acc-top1=54.239583 acc-top5=78.989583 Batch [0199]/[0303]: acc-top1=54.562500 acc-top5=79.078125 Batch [0249]/[0303]: acc-top1=54.825000 acc-top5=79.387500 Batch [0299]/[0303]: acc-top1=54.682292 acc-top5=79.135417 [Epoch 036] training: accuracy=54.152261 loss=1.938754 [Epoch 036] speed: 69 samples/sec time cost: 3764.700441 [Epoch 036] validation: acc-top1=54.672030 acc-top5=79.130569 loss=1.997851 Epoch[037] Batch [0049]/[3759] Speed: 48.253808 samples/sec accuracy=53.656250 loss=1.932206 lr=0.010000 Epoch[037] Batch [0099]/[3759] Speed: 68.307174 samples/sec accuracy=54.859375 loss=1.899286 lr=0.010000 Epoch[037] Batch [0149]/[3759] Speed: 68.135969 samples/sec accuracy=54.906250 loss=1.910978 lr=0.010000 Epoch[037] Batch [0199]/[3759] Speed: 70.479044 samples/sec accuracy=54.984375 loss=1.908678 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70.169011 samples/sec accuracy=54.478873 loss=1.921464 lr=0.010000 Epoch[037] Batch [3599]/[3759] Speed: 69.959165 samples/sec accuracy=54.470486 loss=1.922311 lr=0.010000 Epoch[037] Batch [3649]/[3759] Speed: 69.838631 samples/sec accuracy=54.464897 loss=1.922735 lr=0.010000 Epoch[037] Batch [3699]/[3759] Speed: 68.154675 samples/sec accuracy=54.471284 loss=1.922804 lr=0.010000 Epoch[037] Batch [3749]/[3759] Speed: 77.864846 samples/sec accuracy=54.473750 loss=1.922929 lr=0.010000 Batch [0049]/[0303]: acc-top1=53.250000 acc-top5=78.937500 Batch [0099]/[0303]: acc-top1=53.656250 acc-top5=78.859375 Batch [0149]/[0303]: acc-top1=54.385417 acc-top5=79.062500 Batch [0199]/[0303]: acc-top1=54.898438 acc-top5=79.203125 Batch [0249]/[0303]: acc-top1=55.056250 acc-top5=79.487500 Batch [0299]/[0303]: acc-top1=54.635417 acc-top5=79.203125 [Epoch 037] training: accuracy=54.477587 loss=1.922707 [Epoch 037] speed: 69 samples/sec time cost: 3757.324147 [Epoch 037] validation: acc-top1=54.641089 acc-top5=79.176980 loss=2.008608 Epoch[038] Batch [0049]/[3760] Speed: 47.900882 samples/sec accuracy=55.500000 loss=1.893727 lr=0.010000 Epoch[038] Batch [0099]/[3760] Speed: 68.645432 samples/sec accuracy=55.812500 loss=1.865385 lr=0.010000 Epoch[038] Batch [0149]/[3760] Speed: 69.428213 samples/sec accuracy=55.552083 loss=1.870666 lr=0.010000 Epoch[038] Batch [0199]/[3760] Speed: 70.002962 samples/sec accuracy=55.523437 loss=1.874207 lr=0.010000 Epoch[038] Batch [0249]/[3760] Speed: 70.438839 samples/sec accuracy=55.200000 loss=1.885996 lr=0.010000 Epoch[038] Batch [0299]/[3760] Speed: 67.668040 samples/sec accuracy=55.098958 loss=1.891754 lr=0.010000 Epoch[038] Batch [0349]/[3760] Speed: 69.721712 samples/sec accuracy=55.093750 loss=1.884559 lr=0.010000 Epoch[038] Batch [0399]/[3760] Speed: 70.444853 samples/sec accuracy=54.980469 loss=1.892535 lr=0.010000 Epoch[038] Batch [0449]/[3760] Speed: 70.818255 samples/sec accuracy=54.979167 loss=1.892652 lr=0.010000 Epoch[038] Batch 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accuracy=54.705592 loss=1.899797 lr=0.010000 Epoch[038] Batch [0999]/[3760] Speed: 69.897682 samples/sec accuracy=54.690625 loss=1.897949 lr=0.010000 Epoch[038] Batch [1049]/[3760] Speed: 69.811797 samples/sec accuracy=54.712798 loss=1.898818 lr=0.010000 Epoch[038] Batch [1099]/[3760] Speed: 70.316134 samples/sec accuracy=54.708807 loss=1.899081 lr=0.010000 Epoch[038] Batch [1149]/[3760] Speed: 70.140045 samples/sec accuracy=54.646739 loss=1.902292 lr=0.010000 Epoch[038] Batch [1199]/[3760] Speed: 69.483063 samples/sec accuracy=54.606771 loss=1.904143 lr=0.010000 Epoch[038] Batch [1249]/[3760] Speed: 70.112345 samples/sec accuracy=54.540000 loss=1.906743 lr=0.010000 Epoch[038] Batch [1299]/[3760] Speed: 69.773269 samples/sec accuracy=54.507212 loss=1.909457 lr=0.010000 Epoch[038] Batch [1349]/[3760] Speed: 68.247752 samples/sec accuracy=54.491898 loss=1.910516 lr=0.010000 Epoch[038] Batch [1399]/[3760] Speed: 70.751343 samples/sec accuracy=54.484375 loss=1.909568 lr=0.010000 Epoch[038] 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accuracy=54.491776 loss=1.914801 lr=0.010000 Epoch[038] Batch [1949]/[3760] Speed: 70.382811 samples/sec accuracy=54.517628 loss=1.914401 lr=0.010000 Epoch[038] Batch [1999]/[3760] Speed: 68.881082 samples/sec accuracy=54.502344 loss=1.914243 lr=0.010000 Epoch[038] Batch [2049]/[3760] Speed: 70.337477 samples/sec accuracy=54.528201 loss=1.913779 lr=0.010000 Epoch[038] Batch [2099]/[3760] Speed: 69.711745 samples/sec accuracy=54.553571 loss=1.914329 lr=0.010000 Epoch[038] Batch [2149]/[3760] Speed: 68.598803 samples/sec accuracy=54.537064 loss=1.914857 lr=0.010000 Epoch[038] Batch [2199]/[3760] Speed: 70.698658 samples/sec accuracy=54.516335 loss=1.915329 lr=0.010000 Epoch[038] Batch [2249]/[3760] Speed: 70.155981 samples/sec accuracy=54.558333 loss=1.914495 lr=0.010000 Epoch[038] Batch [2299]/[3760] Speed: 69.604768 samples/sec accuracy=54.567255 loss=1.914501 lr=0.010000 Epoch[038] Batch [2349]/[3760] Speed: 69.109467 samples/sec accuracy=54.565824 loss=1.914136 lr=0.010000 Epoch[038] 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accuracy=54.436404 loss=1.921379 lr=0.010000 Epoch[038] Batch [2899]/[3760] Speed: 71.396903 samples/sec accuracy=54.403017 loss=1.922274 lr=0.010000 Epoch[038] Batch [2949]/[3760] Speed: 70.783842 samples/sec accuracy=54.427436 loss=1.920899 lr=0.010000 Epoch[038] Batch [2999]/[3760] Speed: 68.768795 samples/sec accuracy=54.422917 loss=1.920733 lr=0.010000 Epoch[038] Batch [3049]/[3760] Speed: 69.907896 samples/sec accuracy=54.420594 loss=1.920557 lr=0.010000 Epoch[038] Batch [3099]/[3760] Speed: 68.772455 samples/sec accuracy=54.394153 loss=1.921047 lr=0.010000 Epoch[038] Batch [3149]/[3760] Speed: 70.133914 samples/sec accuracy=54.370040 loss=1.921643 lr=0.010000 Epoch[038] Batch [3199]/[3760] Speed: 69.269404 samples/sec accuracy=54.372070 loss=1.922175 lr=0.010000 Epoch[038] Batch [3249]/[3760] Speed: 70.273078 samples/sec accuracy=54.338942 loss=1.923314 lr=0.010000 Epoch[038] Batch [3299]/[3760] Speed: 69.359102 samples/sec accuracy=54.357008 loss=1.922810 lr=0.010000 Epoch[038] Batch [3349]/[3760] Speed: 69.321935 samples/sec accuracy=54.364739 loss=1.922700 lr=0.010000 Epoch[038] Batch [3399]/[3760] Speed: 71.037954 samples/sec accuracy=54.370404 loss=1.922338 lr=0.010000 Epoch[038] Batch [3449]/[3760] Speed: 69.560562 samples/sec accuracy=54.348732 loss=1.923726 lr=0.010000 Epoch[038] Batch [3499]/[3760] Speed: 69.434039 samples/sec accuracy=54.342411 loss=1.924430 lr=0.010000 Epoch[038] Batch [3549]/[3760] Speed: 70.319566 samples/sec accuracy=54.362676 loss=1.923990 lr=0.010000 Epoch[038] Batch [3599]/[3760] Speed: 69.625213 samples/sec accuracy=54.379774 loss=1.923978 lr=0.010000 Epoch[038] Batch [3649]/[3760] Speed: 69.416161 samples/sec accuracy=54.388271 loss=1.923853 lr=0.010000 Epoch[038] Batch [3699]/[3760] Speed: 70.679313 samples/sec accuracy=54.394426 loss=1.923933 lr=0.010000 Epoch[038] Batch [3749]/[3760] Speed: 77.119337 samples/sec accuracy=54.387917 loss=1.923888 lr=0.010000 Batch [0049]/[0303]: acc-top1=53.625000 acc-top5=78.812500 Batch [0099]/[0303]: acc-top1=54.140625 acc-top5=78.906250 Batch [0149]/[0303]: acc-top1=54.739583 acc-top5=79.260417 Batch [0199]/[0303]: acc-top1=55.140625 acc-top5=79.406250 Batch [0249]/[0303]: acc-top1=55.275000 acc-top5=79.525000 Batch [0299]/[0303]: acc-top1=55.192708 acc-top5=79.171875 [Epoch 038] training: accuracy=54.379156 loss=1.924286 [Epoch 038] speed: 69 samples/sec time cost: 3755.097992 [Epoch 038] validation: acc-top1=55.151609 acc-top5=79.151196 loss=1.987875 Epoch[039] Batch [0049]/[3760] Speed: 48.076783 samples/sec accuracy=55.000000 loss=1.858462 lr=0.010000 Epoch[039] Batch [0099]/[3760] Speed: 69.533620 samples/sec accuracy=54.343750 loss=1.884016 lr=0.010000 Epoch[039] Batch [0149]/[3760] Speed: 68.061985 samples/sec accuracy=54.906250 loss=1.890047 lr=0.010000 Epoch[039] Batch [0199]/[3760] Speed: 69.395431 samples/sec accuracy=54.835938 loss=1.899067 lr=0.010000 Epoch[039] Batch [0249]/[3760] Speed: 69.810515 samples/sec accuracy=54.918750 loss=1.899660 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accuracy=54.625000 loss=1.946110 lr=0.001000 Epoch[040] Batch [0099]/[3759] Speed: 68.838870 samples/sec accuracy=55.859375 loss=1.869891 lr=0.001000 Epoch[040] Batch [0149]/[3759] Speed: 69.523954 samples/sec accuracy=56.718750 loss=1.832492 lr=0.001000 Epoch[040] Batch [0199]/[3759] Speed: 70.077706 samples/sec accuracy=57.164062 loss=1.808540 lr=0.001000 Epoch[040] Batch [0249]/[3759] Speed: 68.843700 samples/sec accuracy=57.393750 loss=1.793640 lr=0.001000 Epoch[040] Batch [0299]/[3759] Speed: 68.079005 samples/sec accuracy=57.536458 loss=1.783177 lr=0.001000 Epoch[040] Batch [0349]/[3759] Speed: 70.931840 samples/sec accuracy=57.651786 loss=1.773427 lr=0.001000 Epoch[040] Batch [0399]/[3759] Speed: 70.433912 samples/sec accuracy=58.042969 loss=1.757703 lr=0.001000 Epoch[040] Batch [0449]/[3759] Speed: 69.446575 samples/sec accuracy=58.211806 loss=1.750251 lr=0.001000 Epoch[040] Batch [0499]/[3759] Speed: 70.397649 samples/sec accuracy=58.321875 loss=1.741635 lr=0.001000 Epoch[040] 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accuracy=60.044071 loss=1.666058 lr=0.001000 Epoch[040] Batch [1999]/[3759] Speed: 70.267612 samples/sec accuracy=60.051563 loss=1.665014 lr=0.001000 Epoch[040] Batch [2049]/[3759] Speed: 70.139950 samples/sec accuracy=60.099085 loss=1.662841 lr=0.001000 Epoch[040] Batch [2099]/[3759] Speed: 70.022670 samples/sec accuracy=60.125744 loss=1.662572 lr=0.001000 Epoch[040] Batch [2149]/[3759] Speed: 69.505347 samples/sec accuracy=60.154797 loss=1.661083 lr=0.001000 Epoch[040] Batch [2199]/[3759] Speed: 69.660725 samples/sec accuracy=60.191761 loss=1.659318 lr=0.001000 Epoch[040] Batch [2249]/[3759] Speed: 70.544664 samples/sec accuracy=60.222917 loss=1.658830 lr=0.001000 Epoch[040] Batch [2299]/[3759] Speed: 68.588715 samples/sec accuracy=60.260190 loss=1.657394 lr=0.001000 Epoch[040] Batch [2349]/[3759] Speed: 69.502735 samples/sec accuracy=60.299202 loss=1.656398 lr=0.001000 Epoch[040] Batch [2399]/[3759] Speed: 70.975580 samples/sec accuracy=60.327474 loss=1.654690 lr=0.001000 Epoch[040] 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accuracy=60.488685 loss=1.645272 lr=0.001000 Epoch[040] Batch [2949]/[3759] Speed: 68.868958 samples/sec accuracy=60.508475 loss=1.645160 lr=0.001000 Epoch[040] Batch [2999]/[3759] Speed: 69.637975 samples/sec accuracy=60.510937 loss=1.645150 lr=0.001000 Epoch[040] Batch [3049]/[3759] Speed: 70.414844 samples/sec accuracy=60.510758 loss=1.644708 lr=0.001000 Epoch[040] Batch [3099]/[3759] Speed: 70.308213 samples/sec accuracy=60.517137 loss=1.643819 lr=0.001000 Epoch[040] Batch [3149]/[3759] Speed: 70.599842 samples/sec accuracy=60.542163 loss=1.642721 lr=0.001000 Epoch[040] Batch [3199]/[3759] Speed: 70.081762 samples/sec accuracy=60.562500 loss=1.641570 lr=0.001000 Epoch[040] Batch [3249]/[3759] Speed: 68.121276 samples/sec accuracy=60.575962 loss=1.641103 lr=0.001000 Epoch[040] Batch [3299]/[3759] Speed: 69.655907 samples/sec accuracy=60.602273 loss=1.639644 lr=0.001000 Epoch[040] Batch [3349]/[3759] Speed: 69.740598 samples/sec accuracy=60.601679 loss=1.639419 lr=0.001000 Epoch[040] Batch [3399]/[3759] Speed: 70.021356 samples/sec accuracy=60.619945 loss=1.638587 lr=0.001000 Epoch[040] Batch [3449]/[3759] Speed: 70.341798 samples/sec accuracy=60.641304 loss=1.637649 lr=0.001000 Epoch[040] Batch [3499]/[3759] Speed: 68.995621 samples/sec accuracy=60.682143 loss=1.636221 lr=0.001000 Epoch[040] Batch [3549]/[3759] Speed: 69.537767 samples/sec accuracy=60.672975 loss=1.636126 lr=0.001000 Epoch[040] Batch [3599]/[3759] Speed: 69.160736 samples/sec accuracy=60.685764 loss=1.635553 lr=0.001000 Epoch[040] Batch [3649]/[3759] Speed: 70.054738 samples/sec accuracy=60.680223 loss=1.635675 lr=0.001000 Epoch[040] Batch [3699]/[3759] Speed: 70.532035 samples/sec accuracy=60.693412 loss=1.635661 lr=0.001000 Epoch[040] Batch [3749]/[3759] Speed: 78.247883 samples/sec accuracy=60.711250 loss=1.635068 lr=0.001000 Batch [0049]/[0303]: acc-top1=59.625000 acc-top5=82.062500 Batch [0099]/[0303]: acc-top1=59.765625 acc-top5=82.109375 Batch [0149]/[0303]: acc-top1=60.656250 acc-top5=82.729167 Batch [0199]/[0303]: acc-top1=60.968750 acc-top5=83.117188 Batch [0249]/[0303]: acc-top1=61.000000 acc-top5=83.237500 Batch [0299]/[0303]: acc-top1=60.744792 acc-top5=83.083333 [Epoch 040] training: accuracy=60.713454 loss=1.635091 [Epoch 040] speed: 69 samples/sec time cost: 3752.395788 [Epoch 040] validation: acc-top1=60.746700 acc-top5=83.080652 loss=1.703602 Epoch[041] Batch [0049]/[3760] Speed: 47.982814 samples/sec accuracy=62.062500 loss=1.616788 lr=0.001000 Epoch[041] Batch [0099]/[3760] Speed: 69.946791 samples/sec accuracy=62.437500 loss=1.567000 lr=0.001000 Epoch[041] Batch [0149]/[3760] Speed: 68.835957 samples/sec accuracy=61.781250 loss=1.576514 lr=0.001000 Epoch[041] Batch [0199]/[3760] Speed: 70.397876 samples/sec accuracy=61.812500 loss=1.577453 lr=0.001000 Epoch[041] Batch [0249]/[3760] Speed: 70.651914 samples/sec accuracy=62.012500 loss=1.576993 lr=0.001000 Epoch[041] Batch [0299]/[3760] Speed: 70.231577 samples/sec accuracy=62.015625 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lr=0.001000 Epoch[042] Batch [3449]/[3760] Speed: 68.394195 samples/sec accuracy=62.808877 loss=1.535294 lr=0.001000 Epoch[042] Batch [3499]/[3760] Speed: 69.148218 samples/sec accuracy=62.806250 loss=1.535297 lr=0.001000 Epoch[042] Batch [3549]/[3760] Speed: 70.824113 samples/sec accuracy=62.812940 loss=1.534883 lr=0.001000 Epoch[042] Batch [3599]/[3760] Speed: 70.176438 samples/sec accuracy=62.815538 loss=1.534541 lr=0.001000 Epoch[042] Batch [3649]/[3760] Speed: 68.568792 samples/sec accuracy=62.793664 loss=1.534834 lr=0.001000 Epoch[042] Batch [3699]/[3760] Speed: 69.866022 samples/sec accuracy=62.797720 loss=1.534517 lr=0.001000 Epoch[042] Batch [3749]/[3760] Speed: 77.545800 samples/sec accuracy=62.805833 loss=1.534735 lr=0.001000 Batch [0049]/[0303]: acc-top1=60.031250 acc-top5=82.718750 Batch [0099]/[0303]: acc-top1=59.984375 acc-top5=82.765625 Batch [0149]/[0303]: acc-top1=60.885417 acc-top5=83.239583 Batch [0199]/[0303]: acc-top1=61.523438 acc-top5=83.585938 Batch [0249]/[0303]: acc-top1=61.762500 acc-top5=83.825000 Batch [0299]/[0303]: acc-top1=61.479167 acc-top5=83.572917 [Epoch 042] training: accuracy=62.807098 loss=1.534847 [Epoch 042] speed: 69 samples/sec time cost: 3763.583081 [Epoch 042] validation: acc-top1=61.473804 acc-top5=83.565388 loss=1.671699 Epoch[043] Batch [0049]/[3759] Speed: 48.362717 samples/sec accuracy=62.406250 loss=1.544725 lr=0.001000 Epoch[043] Batch [0099]/[3759] Speed: 68.663799 samples/sec accuracy=61.859375 loss=1.570092 lr=0.001000 Epoch[043] Batch [0149]/[3759] Speed: 69.713256 samples/sec accuracy=63.020833 loss=1.530842 lr=0.001000 Epoch[043] Batch [0199]/[3759] Speed: 69.550791 samples/sec accuracy=62.921875 loss=1.530100 lr=0.001000 Epoch[043] Batch [0249]/[3759] Speed: 66.701140 samples/sec accuracy=63.137500 loss=1.517924 lr=0.001000 Epoch[043] Batch [0299]/[3759] Speed: 72.722937 samples/sec accuracy=62.937500 loss=1.521373 lr=0.001000 Epoch[043] Batch [0349]/[3759] Speed: 70.141373 samples/sec 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Batch [3699]/[3759] Speed: 68.579337 samples/sec accuracy=63.208193 loss=1.513273 lr=0.001000 Epoch[043] Batch [3749]/[3759] Speed: 78.160312 samples/sec accuracy=63.217917 loss=1.512634 lr=0.001000 Batch [0049]/[0303]: acc-top1=60.156250 acc-top5=82.875000 Batch [0099]/[0303]: acc-top1=60.390625 acc-top5=82.812500 Batch [0149]/[0303]: acc-top1=61.250000 acc-top5=83.260417 Batch [0199]/[0303]: acc-top1=61.742188 acc-top5=83.515625 Batch [0249]/[0303]: acc-top1=61.975000 acc-top5=83.712500 Batch [0299]/[0303]: acc-top1=61.723958 acc-top5=83.541667 [Epoch 043] training: accuracy=63.222433 loss=1.512524 [Epoch 043] speed: 69 samples/sec time cost: 3752.885546 [Epoch 043] validation: acc-top1=61.721328 acc-top5=83.544761 loss=1.666979 Epoch[044] Batch [0049]/[3760] Speed: 47.112291 samples/sec accuracy=64.062500 loss=1.492482 lr=0.001000 Epoch[044] Batch [0099]/[3760] Speed: 70.899409 samples/sec accuracy=64.265625 loss=1.482471 lr=0.001000 Epoch[044] Batch [0149]/[3760] Speed: 69.898985 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lr=0.001000 Epoch[044] Batch [0649]/[3760] Speed: 68.407955 samples/sec accuracy=63.701923 loss=1.500702 lr=0.001000 Epoch[044] Batch [0699]/[3760] Speed: 71.161158 samples/sec accuracy=63.636161 loss=1.501035 lr=0.001000 Epoch[044] Batch [0749]/[3760] Speed: 70.118220 samples/sec accuracy=63.675000 loss=1.500087 lr=0.001000 Epoch[044] Batch [0799]/[3760] Speed: 68.022875 samples/sec accuracy=63.693359 loss=1.499234 lr=0.001000 Epoch[044] Batch [0849]/[3760] Speed: 70.857095 samples/sec accuracy=63.726103 loss=1.498507 lr=0.001000 Epoch[044] Batch [0899]/[3760] Speed: 70.278795 samples/sec accuracy=63.727431 loss=1.498565 lr=0.001000 Epoch[044] Batch [0949]/[3760] Speed: 67.834127 samples/sec accuracy=63.782895 loss=1.498156 lr=0.001000 Epoch[044] Batch [0999]/[3760] Speed: 71.185389 samples/sec accuracy=63.878125 loss=1.495294 lr=0.001000 Epoch[044] Batch [1049]/[3760] Speed: 69.368538 samples/sec accuracy=63.837798 loss=1.496722 lr=0.001000 Epoch[044] Batch [1099]/[3760] Speed: 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lr=0.001000 Epoch[044] Batch [1599]/[3760] Speed: 68.651783 samples/sec accuracy=63.826172 loss=1.496253 lr=0.001000 Epoch[044] Batch [1649]/[3760] Speed: 68.597301 samples/sec accuracy=63.786932 loss=1.497302 lr=0.001000 Epoch[044] Batch [1699]/[3760] Speed: 70.552415 samples/sec accuracy=63.816176 loss=1.496384 lr=0.001000 Epoch[044] Batch [1749]/[3760] Speed: 70.113166 samples/sec accuracy=63.822321 loss=1.495960 lr=0.001000 Epoch[044] Batch [1799]/[3760] Speed: 70.001478 samples/sec accuracy=63.803819 loss=1.495698 lr=0.001000 Epoch[044] Batch [1849]/[3760] Speed: 67.974370 samples/sec accuracy=63.805743 loss=1.495952 lr=0.001000 Epoch[044] Batch [1899]/[3760] Speed: 71.174277 samples/sec accuracy=63.782895 loss=1.496079 lr=0.001000 Epoch[044] Batch [1949]/[3760] Speed: 69.119832 samples/sec accuracy=63.794872 loss=1.496486 lr=0.001000 Epoch[044] Batch [1999]/[3760] Speed: 68.957627 samples/sec accuracy=63.795313 loss=1.496304 lr=0.001000 Epoch[044] Batch [2049]/[3760] Speed: 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lr=0.001000 Epoch[044] Batch [2549]/[3760] Speed: 69.518121 samples/sec accuracy=63.771446 loss=1.494780 lr=0.001000 Epoch[044] Batch [2599]/[3760] Speed: 70.250874 samples/sec accuracy=63.762620 loss=1.495045 lr=0.001000 Epoch[044] Batch [2649]/[3760] Speed: 70.975141 samples/sec accuracy=63.747052 loss=1.494992 lr=0.001000 Epoch[044] Batch [2699]/[3760] Speed: 68.992130 samples/sec accuracy=63.730324 loss=1.495898 lr=0.001000 Epoch[044] Batch [2749]/[3760] Speed: 68.686319 samples/sec accuracy=63.727841 loss=1.495722 lr=0.001000 Epoch[044] Batch [2799]/[3760] Speed: 70.675735 samples/sec accuracy=63.733817 loss=1.495758 lr=0.001000 Epoch[044] Batch [2849]/[3760] Speed: 70.932633 samples/sec accuracy=63.716009 loss=1.496359 lr=0.001000 Epoch[044] Batch [2899]/[3760] Speed: 67.719046 samples/sec accuracy=63.724677 loss=1.495978 lr=0.001000 Epoch[044] Batch [2949]/[3760] Speed: 68.978051 samples/sec accuracy=63.707097 loss=1.497045 lr=0.001000 Epoch[044] Batch [2999]/[3760] Speed: 72.014789 samples/sec accuracy=63.711458 loss=1.496982 lr=0.001000 Epoch[044] Batch [3049]/[3760] Speed: 67.712855 samples/sec accuracy=63.712602 loss=1.496855 lr=0.001000 Epoch[044] Batch [3099]/[3760] Speed: 70.491724 samples/sec accuracy=63.689516 loss=1.497452 lr=0.001000 Epoch[044] Batch [3149]/[3760] Speed: 69.865128 samples/sec accuracy=63.676091 loss=1.497562 lr=0.001000 Epoch[044] Batch [3199]/[3760] Speed: 69.577318 samples/sec accuracy=63.669434 loss=1.497590 lr=0.001000 Epoch[044] Batch [3249]/[3760] Speed: 69.648599 samples/sec accuracy=63.677885 loss=1.497111 lr=0.001000 Epoch[044] Batch [3299]/[3760] Speed: 68.955921 samples/sec accuracy=63.675663 loss=1.497328 lr=0.001000 Epoch[044] Batch [3349]/[3760] Speed: 68.133922 samples/sec accuracy=63.679104 loss=1.497046 lr=0.001000 Epoch[044] Batch [3399]/[3760] Speed: 72.406511 samples/sec accuracy=63.676471 loss=1.497240 lr=0.001000 Epoch[044] Batch [3449]/[3760] Speed: 67.369639 samples/sec accuracy=63.696558 loss=1.496889 lr=0.001000 Epoch[044] Batch [3499]/[3760] Speed: 71.808141 samples/sec accuracy=63.704911 loss=1.496751 lr=0.001000 Epoch[044] Batch [3549]/[3760] Speed: 69.346875 samples/sec accuracy=63.714349 loss=1.496598 lr=0.001000 Epoch[044] Batch [3599]/[3760] Speed: 71.557645 samples/sec accuracy=63.720920 loss=1.496339 lr=0.001000 Epoch[044] Batch [3649]/[3760] Speed: 68.335010 samples/sec accuracy=63.743151 loss=1.495694 lr=0.001000 Epoch[044] Batch [3699]/[3760] Speed: 70.530393 samples/sec accuracy=63.733953 loss=1.495676 lr=0.001000 Epoch[044] Batch [3749]/[3760] Speed: 73.141256 samples/sec accuracy=63.738750 loss=1.495429 lr=0.001000 Batch [0049]/[0303]: acc-top1=60.187500 acc-top5=82.906250 Batch [0099]/[0303]: acc-top1=60.593750 acc-top5=82.953125 Batch [0149]/[0303]: acc-top1=61.427083 acc-top5=83.458333 Batch [0199]/[0303]: acc-top1=61.859375 acc-top5=83.812500 Batch [0249]/[0303]: acc-top1=62.012500 acc-top5=84.006250 Batch [0299]/[0303]: acc-top1=61.729167 acc-top5=83.895833 [Epoch 044] training: accuracy=63.734624 loss=1.495364 [Epoch 044] speed: 69 samples/sec time cost: 3758.345999 [Epoch 044] validation: acc-top1=61.721328 acc-top5=83.900578 loss=1.648320 Epoch[045] Batch [0049]/[3760] Speed: 48.645727 samples/sec accuracy=63.437500 loss=1.476726 lr=0.001000 Epoch[045] Batch [0099]/[3760] Speed: 68.914822 samples/sec accuracy=64.843750 loss=1.427018 lr=0.001000 Epoch[045] Batch [0149]/[3760] Speed: 69.168935 samples/sec accuracy=65.354167 loss=1.423779 lr=0.001000 Epoch[045] Batch [0199]/[3760] Speed: 69.691880 samples/sec accuracy=64.914062 loss=1.438736 lr=0.001000 Epoch[045] Batch [0249]/[3760] Speed: 69.494011 samples/sec accuracy=64.618750 loss=1.455366 lr=0.001000 Epoch[045] Batch [0299]/[3760] Speed: 68.696279 samples/sec accuracy=64.770833 loss=1.452811 lr=0.001000 Epoch[045] Batch [0349]/[3760] Speed: 69.766442 samples/sec accuracy=64.620536 loss=1.457205 lr=0.001000 Epoch[045] Batch [0399]/[3760] Speed: 70.684013 samples/sec accuracy=64.726562 loss=1.455859 lr=0.001000 Epoch[045] Batch [0449]/[3760] Speed: 69.776052 samples/sec accuracy=64.645833 loss=1.457149 lr=0.001000 Epoch[045] Batch [0499]/[3760] Speed: 68.353285 samples/sec accuracy=64.593750 loss=1.459555 lr=0.001000 Epoch[045] Batch [0549]/[3760] Speed: 69.814541 samples/sec accuracy=64.644886 loss=1.457612 lr=0.001000 Epoch[045] Batch [0599]/[3760] Speed: 69.287616 samples/sec accuracy=64.567708 loss=1.461065 lr=0.001000 Epoch[045] Batch [0649]/[3760] Speed: 68.527522 samples/sec accuracy=64.661058 loss=1.460265 lr=0.001000 Epoch[045] Batch [0699]/[3760] Speed: 70.891119 samples/sec accuracy=64.683036 loss=1.459563 lr=0.001000 Epoch[045] Batch [0749]/[3760] Speed: 71.051527 samples/sec accuracy=64.589583 loss=1.463312 lr=0.001000 Epoch[045] Batch [0799]/[3760] Speed: 69.534508 samples/sec accuracy=64.564453 loss=1.463823 lr=0.001000 Epoch[045] Batch [0849]/[3760] Speed: 68.745218 samples/sec accuracy=64.545956 loss=1.463949 lr=0.001000 Epoch[045] 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accuracy=64.193287 loss=1.474212 lr=0.001000 Epoch[045] Batch [1399]/[3760] Speed: 70.070485 samples/sec accuracy=64.169643 loss=1.474728 lr=0.001000 Epoch[045] Batch [1449]/[3760] Speed: 67.669941 samples/sec accuracy=64.172414 loss=1.474655 lr=0.001000 Epoch[045] Batch [1499]/[3760] Speed: 71.206883 samples/sec accuracy=64.188542 loss=1.473783 lr=0.001000 Epoch[045] Batch [1549]/[3760] Speed: 68.928901 samples/sec accuracy=64.166331 loss=1.474349 lr=0.001000 Epoch[045] Batch [1599]/[3760] Speed: 68.265163 samples/sec accuracy=64.161133 loss=1.473567 lr=0.001000 Epoch[045] Batch [1649]/[3760] Speed: 70.953123 samples/sec accuracy=64.165720 loss=1.473427 lr=0.001000 Epoch[045] Batch [1699]/[3760] Speed: 70.327286 samples/sec accuracy=64.162684 loss=1.472442 lr=0.001000 Epoch[045] Batch [1749]/[3760] Speed: 69.328348 samples/sec accuracy=64.151786 loss=1.473727 lr=0.001000 Epoch[045] Batch [1799]/[3760] Speed: 70.505940 samples/sec accuracy=64.157118 loss=1.473737 lr=0.001000 Epoch[045] 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accuracy=64.111413 loss=1.473198 lr=0.001000 Epoch[045] Batch [2349]/[3760] Speed: 69.972986 samples/sec accuracy=64.135638 loss=1.473122 lr=0.001000 Epoch[045] Batch [2399]/[3760] Speed: 67.604902 samples/sec accuracy=64.136719 loss=1.472605 lr=0.001000 Epoch[045] Batch [2449]/[3760] Speed: 70.911579 samples/sec accuracy=64.113520 loss=1.472656 lr=0.001000 Epoch[045] Batch [2499]/[3760] Speed: 69.934637 samples/sec accuracy=64.113750 loss=1.472798 lr=0.001000 Epoch[045] Batch [2549]/[3760] Speed: 70.511547 samples/sec accuracy=64.110907 loss=1.472830 lr=0.001000 Epoch[045] Batch [2599]/[3760] Speed: 68.561758 samples/sec accuracy=64.115385 loss=1.473171 lr=0.001000 Epoch[045] Batch [2649]/[3760] Speed: 70.473757 samples/sec accuracy=64.124410 loss=1.472546 lr=0.001000 Epoch[045] Batch [2699]/[3760] Speed: 71.019233 samples/sec accuracy=64.109375 loss=1.473419 lr=0.001000 Epoch[045] Batch [2749]/[3760] Speed: 69.846587 samples/sec accuracy=64.115909 loss=1.473650 lr=0.001000 Epoch[045] 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Batch [3749]/[3760] Speed: 78.924020 samples/sec accuracy=64.124583 loss=1.474749 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.281250 acc-top5=83.343750 Batch [0099]/[0303]: acc-top1=60.984375 acc-top5=83.156250 Batch [0149]/[0303]: acc-top1=61.833333 acc-top5=83.458333 Batch [0199]/[0303]: acc-top1=62.187500 acc-top5=83.804688 Batch [0249]/[0303]: acc-top1=62.393750 acc-top5=83.962500 Batch [0299]/[0303]: acc-top1=62.088542 acc-top5=83.833333 [Epoch 045] training: accuracy=64.131067 loss=1.474489 [Epoch 045] speed: 69 samples/sec time cost: 3751.599510 [Epoch 045] validation: acc-top1=62.092616 acc-top5=83.864480 loss=1.647693 Epoch[046] Batch [0049]/[3759] Speed: 48.663599 samples/sec accuracy=64.687500 loss=1.448877 lr=0.001000 Epoch[046] Batch [0099]/[3759] Speed: 68.434215 samples/sec accuracy=64.312500 loss=1.457801 lr=0.001000 Epoch[046] Batch [0149]/[3759] Speed: 69.676251 samples/sec accuracy=64.447917 loss=1.451724 lr=0.001000 Epoch[046] Batch [0199]/[3759] Speed: 70.360136 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69.395634 samples/sec accuracy=64.300205 loss=1.463847 lr=0.001000 Epoch[046] Batch [3099]/[3759] Speed: 69.867589 samples/sec accuracy=64.299899 loss=1.463863 lr=0.001000 Epoch[046] Batch [3149]/[3759] Speed: 69.908213 samples/sec accuracy=64.289187 loss=1.464051 lr=0.001000 Epoch[046] Batch [3199]/[3759] Speed: 68.677306 samples/sec accuracy=64.310547 loss=1.463113 lr=0.001000 Epoch[046] Batch [3249]/[3759] Speed: 70.377043 samples/sec accuracy=64.310577 loss=1.463659 lr=0.001000 Epoch[046] Batch [3299]/[3759] Speed: 69.022589 samples/sec accuracy=64.290720 loss=1.463967 lr=0.001000 Epoch[046] Batch [3349]/[3759] Speed: 70.476880 samples/sec accuracy=64.296642 loss=1.463953 lr=0.001000 Epoch[046] Batch [3399]/[3759] Speed: 69.067279 samples/sec accuracy=64.312500 loss=1.463772 lr=0.001000 Epoch[046] Batch [3449]/[3759] Speed: 70.309442 samples/sec accuracy=64.298913 loss=1.464074 lr=0.001000 Epoch[046] Batch [3499]/[3759] Speed: 70.558081 samples/sec accuracy=64.289286 loss=1.464505 lr=0.001000 Epoch[046] Batch [3549]/[3759] Speed: 70.803336 samples/sec accuracy=64.278169 loss=1.465216 lr=0.001000 Epoch[046] Batch [3599]/[3759] Speed: 69.233878 samples/sec accuracy=64.272569 loss=1.465731 lr=0.001000 Epoch[046] Batch [3649]/[3759] Speed: 69.462454 samples/sec accuracy=64.269264 loss=1.466184 lr=0.001000 Epoch[046] Batch [3699]/[3759] Speed: 69.770937 samples/sec accuracy=64.269426 loss=1.466319 lr=0.001000 Epoch[046] Batch [3749]/[3759] Speed: 76.687500 samples/sec accuracy=64.252083 loss=1.466405 lr=0.001000 Batch [0049]/[0303]: acc-top1=60.687500 acc-top5=83.000000 Batch [0099]/[0303]: acc-top1=60.750000 acc-top5=83.000000 Batch [0149]/[0303]: acc-top1=61.645833 acc-top5=83.479167 Batch [0199]/[0303]: acc-top1=61.992187 acc-top5=83.867188 Batch [0249]/[0303]: acc-top1=62.156250 acc-top5=84.093750 Batch [0299]/[0303]: acc-top1=61.921875 acc-top5=83.942708 [Epoch 046] training: accuracy=64.249967 loss=1.466337 [Epoch 046] speed: 69 samples/sec time cost: 3752.771460 [Epoch 046] validation: acc-top1=61.937913 acc-top5=83.952145 loss=1.642159 Epoch[047] Batch [0049]/[3760] Speed: 48.642066 samples/sec accuracy=64.156250 loss=1.454132 lr=0.001000 Epoch[047] Batch [0099]/[3760] Speed: 67.498882 samples/sec accuracy=65.046875 loss=1.431774 lr=0.001000 Epoch[047] Batch [0149]/[3760] Speed: 70.142767 samples/sec accuracy=65.072917 loss=1.430676 lr=0.001000 Epoch[047] Batch [0199]/[3760] Speed: 69.753713 samples/sec accuracy=65.187500 loss=1.426908 lr=0.001000 Epoch[047] Batch [0249]/[3760] Speed: 69.904739 samples/sec accuracy=65.206250 loss=1.424924 lr=0.001000 Epoch[047] Batch [0299]/[3760] Speed: 68.223920 samples/sec accuracy=65.140625 loss=1.426077 lr=0.001000 Epoch[047] Batch [0349]/[3760] Speed: 70.571997 samples/sec accuracy=65.138393 loss=1.428463 lr=0.001000 Epoch[047] Batch [0399]/[3760] Speed: 70.329421 samples/sec accuracy=64.988281 loss=1.432950 lr=0.001000 Epoch[047] Batch [0449]/[3760] Speed: 69.371459 samples/sec 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[0049]/[0303]: acc-top1=60.937500 acc-top5=83.750000 Batch [0099]/[0303]: acc-top1=61.093750 acc-top5=83.437500 Batch [0149]/[0303]: acc-top1=61.916667 acc-top5=83.781250 Batch [0199]/[0303]: acc-top1=62.453125 acc-top5=83.953125 Batch [0249]/[0303]: acc-top1=62.625000 acc-top5=84.175000 Batch [0299]/[0303]: acc-top1=62.359375 acc-top5=83.921875 [Epoch 047] training: accuracy=64.540392 loss=1.456678 [Epoch 047] speed: 69 samples/sec time cost: 3750.830847 [Epoch 047] validation: acc-top1=62.360767 acc-top5=83.910891 loss=1.639234 Epoch[048] Batch [0049]/[3760] Speed: 47.856872 samples/sec accuracy=64.312500 loss=1.441969 lr=0.001000 Epoch[048] Batch [0099]/[3760] Speed: 68.109626 samples/sec accuracy=65.234375 loss=1.421236 lr=0.001000 Epoch[048] Batch [0149]/[3760] Speed: 68.127750 samples/sec accuracy=64.916667 loss=1.440039 lr=0.001000 Epoch[048] Batch [0199]/[3760] Speed: 71.430920 samples/sec accuracy=64.992188 loss=1.438810 lr=0.001000 Epoch[048] Batch [0249]/[3760] Speed: 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lr=0.001000 Epoch[048] Batch [3599]/[3760] Speed: 70.049982 samples/sec accuracy=64.668837 loss=1.447769 lr=0.001000 Epoch[048] Batch [3649]/[3760] Speed: 69.669166 samples/sec accuracy=64.657962 loss=1.448084 lr=0.001000 Epoch[048] Batch [3699]/[3760] Speed: 68.743330 samples/sec accuracy=64.662162 loss=1.447896 lr=0.001000 Epoch[048] Batch [3749]/[3760] Speed: 77.869149 samples/sec accuracy=64.652500 loss=1.448074 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.062500 acc-top5=83.343750 Batch [0099]/[0303]: acc-top1=61.156250 acc-top5=83.296875 Batch [0149]/[0303]: acc-top1=61.947917 acc-top5=83.572917 Batch [0199]/[0303]: acc-top1=62.492187 acc-top5=83.843750 Batch [0249]/[0303]: acc-top1=62.631250 acc-top5=84.006250 Batch [0299]/[0303]: acc-top1=62.447917 acc-top5=83.859375 [Epoch 048] training: accuracy=64.655502 loss=1.447950 [Epoch 048] speed: 69 samples/sec time cost: 3755.367825 [Epoch 048] validation: acc-top1=62.443276 acc-top5=83.869637 loss=1.627257 Epoch[049] Batch 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accuracy=64.987407 loss=1.435682 lr=0.001000 Epoch[049] Batch [3399]/[3759] Speed: 69.375088 samples/sec accuracy=64.976103 loss=1.435908 lr=0.001000 Epoch[049] Batch [3449]/[3759] Speed: 69.862007 samples/sec accuracy=64.956069 loss=1.436770 lr=0.001000 Epoch[049] Batch [3499]/[3759] Speed: 70.334855 samples/sec accuracy=64.950000 loss=1.437315 lr=0.001000 Epoch[049] Batch [3549]/[3759] Speed: 70.805389 samples/sec accuracy=64.937060 loss=1.437723 lr=0.001000 Epoch[049] Batch [3599]/[3759] Speed: 69.726249 samples/sec accuracy=64.939236 loss=1.438286 lr=0.001000 Epoch[049] Batch [3649]/[3759] Speed: 69.475490 samples/sec accuracy=64.947774 loss=1.438064 lr=0.001000 Epoch[049] Batch [3699]/[3759] Speed: 70.339876 samples/sec accuracy=64.967483 loss=1.437368 lr=0.001000 Epoch[049] Batch [3749]/[3759] Speed: 77.958134 samples/sec accuracy=64.970000 loss=1.437690 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.281250 acc-top5=83.312500 Batch [0099]/[0303]: acc-top1=61.250000 acc-top5=83.203125 Batch [0149]/[0303]: acc-top1=62.239583 acc-top5=83.604167 Batch [0199]/[0303]: acc-top1=62.554687 acc-top5=83.984375 Batch [0249]/[0303]: acc-top1=62.593750 acc-top5=84.118750 Batch [0299]/[0303]: acc-top1=62.354167 acc-top5=83.932292 [Epoch 049] training: accuracy=64.967827 loss=1.438005 [Epoch 049] speed: 69 samples/sec time cost: 3753.296234 [Epoch 049] validation: acc-top1=62.314356 acc-top5=83.946988 loss=1.631884 Epoch[050] Batch [0049]/[3760] Speed: 48.737868 samples/sec accuracy=65.500000 loss=1.411852 lr=0.001000 Epoch[050] Batch [0099]/[3760] Speed: 68.251219 samples/sec accuracy=64.843750 loss=1.429974 lr=0.001000 Epoch[050] Batch [0149]/[3760] Speed: 67.162997 samples/sec accuracy=65.083333 loss=1.422392 lr=0.001000 Epoch[050] Batch [0199]/[3760] Speed: 70.943552 samples/sec accuracy=65.195312 loss=1.421866 lr=0.001000 Epoch[050] Batch [0249]/[3760] Speed: 70.790892 samples/sec accuracy=65.725000 loss=1.404986 lr=0.001000 Epoch[050] Batch [0299]/[3760] 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accuracy=65.279412 loss=1.421728 lr=0.001000 Epoch[050] Batch [1749]/[3760] Speed: 69.582944 samples/sec accuracy=65.277679 loss=1.421186 lr=0.001000 Epoch[050] Batch [1799]/[3760] Speed: 69.318130 samples/sec accuracy=65.280382 loss=1.420007 lr=0.001000 Epoch[050] Batch [1849]/[3760] Speed: 68.927654 samples/sec accuracy=65.288007 loss=1.419853 lr=0.001000 Epoch[050] Batch [1899]/[3760] Speed: 68.265028 samples/sec accuracy=65.273026 loss=1.420445 lr=0.001000 Epoch[050] Batch [1949]/[3760] Speed: 68.841935 samples/sec accuracy=65.256410 loss=1.421246 lr=0.001000 Epoch[050] Batch [1999]/[3760] Speed: 72.898198 samples/sec accuracy=65.234375 loss=1.421294 lr=0.001000 Epoch[050] Batch [2049]/[3760] Speed: 67.146834 samples/sec accuracy=65.240854 loss=1.420527 lr=0.001000 Epoch[050] Batch [2099]/[3760] Speed: 68.172852 samples/sec accuracy=65.221726 loss=1.421516 lr=0.001000 Epoch[050] Batch [2149]/[3760] Speed: 74.265909 samples/sec accuracy=65.199855 loss=1.422663 lr=0.001000 Epoch[050] 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accuracy=65.145637 loss=1.422812 lr=0.001000 Epoch[050] Batch [2699]/[3760] Speed: 69.266751 samples/sec accuracy=65.159722 loss=1.422856 lr=0.001000 Epoch[050] Batch [2749]/[3760] Speed: 69.479395 samples/sec accuracy=65.163636 loss=1.423177 lr=0.001000 Epoch[050] Batch [2799]/[3760] Speed: 70.147720 samples/sec accuracy=65.192522 loss=1.422555 lr=0.001000 Epoch[050] Batch [2849]/[3760] Speed: 66.844784 samples/sec accuracy=65.199561 loss=1.422412 lr=0.001000 Epoch[050] Batch [2899]/[3760] Speed: 70.872371 samples/sec accuracy=65.169720 loss=1.423484 lr=0.001000 Epoch[050] Batch [2949]/[3760] Speed: 70.476029 samples/sec accuracy=65.172140 loss=1.423650 lr=0.001000 Epoch[050] Batch [2999]/[3760] Speed: 68.346564 samples/sec accuracy=65.170313 loss=1.423251 lr=0.001000 Epoch[050] Batch [3049]/[3760] Speed: 67.523546 samples/sec accuracy=65.171107 loss=1.423861 lr=0.001000 Epoch[050] Batch [3099]/[3760] Speed: 71.525301 samples/sec accuracy=65.171371 loss=1.424270 lr=0.001000 Epoch[050] Batch [3149]/[3760] Speed: 69.553866 samples/sec accuracy=65.151786 loss=1.424720 lr=0.001000 Epoch[050] Batch [3199]/[3760] Speed: 69.935324 samples/sec accuracy=65.166016 loss=1.424585 lr=0.001000 Epoch[050] Batch [3249]/[3760] Speed: 68.413779 samples/sec accuracy=65.158654 loss=1.424955 lr=0.001000 Epoch[050] Batch [3299]/[3760] Speed: 70.436657 samples/sec accuracy=65.144413 loss=1.425166 lr=0.001000 Epoch[050] Batch [3349]/[3760] Speed: 67.781767 samples/sec accuracy=65.136660 loss=1.426132 lr=0.001000 Epoch[050] Batch [3399]/[3760] Speed: 70.186242 samples/sec accuracy=65.126838 loss=1.426254 lr=0.001000 Epoch[050] Batch [3449]/[3760] Speed: 67.289427 samples/sec accuracy=65.129982 loss=1.426297 lr=0.001000 Epoch[050] Batch [3499]/[3760] Speed: 72.366969 samples/sec accuracy=65.135268 loss=1.425770 lr=0.001000 Epoch[050] Batch [3549]/[3760] Speed: 70.030918 samples/sec accuracy=65.124120 loss=1.426080 lr=0.001000 Epoch[050] Batch [3599]/[3760] Speed: 69.091230 samples/sec accuracy=65.114583 loss=1.426108 lr=0.001000 Epoch[050] Batch [3649]/[3760] Speed: 70.318322 samples/sec accuracy=65.123288 loss=1.425591 lr=0.001000 Epoch[050] Batch [3699]/[3760] Speed: 67.865356 samples/sec accuracy=65.122889 loss=1.425918 lr=0.001000 Epoch[050] Batch [3749]/[3760] Speed: 77.809180 samples/sec accuracy=65.120833 loss=1.426469 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.500000 acc-top5=83.187500 Batch [0099]/[0303]: acc-top1=61.281250 acc-top5=83.250000 Batch [0149]/[0303]: acc-top1=62.333333 acc-top5=83.760417 Batch [0199]/[0303]: acc-top1=62.562500 acc-top5=84.101562 Batch [0249]/[0303]: acc-top1=62.700000 acc-top5=84.281250 Batch [0299]/[0303]: acc-top1=62.526042 acc-top5=84.135417 [Epoch 050] training: accuracy=65.113863 loss=1.426774 [Epoch 050] speed: 69 samples/sec time cost: 3760.867624 [Epoch 050] validation: acc-top1=62.500000 acc-top5=84.142946 loss=1.624335 Epoch[051] Batch [0049]/[3760] Speed: 48.045240 samples/sec accuracy=65.625000 loss=1.385030 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lr=0.001000 Epoch[051] Batch [2949]/[3760] Speed: 69.069520 samples/sec accuracy=65.381886 loss=1.416540 lr=0.001000 Epoch[051] Batch [2999]/[3760] Speed: 70.786463 samples/sec accuracy=65.346354 loss=1.417952 lr=0.001000 Epoch[051] Batch [3049]/[3760] Speed: 68.548360 samples/sec accuracy=65.346824 loss=1.417643 lr=0.001000 Epoch[051] Batch [3099]/[3760] Speed: 68.331429 samples/sec accuracy=65.349294 loss=1.417584 lr=0.001000 Epoch[051] Batch [3149]/[3760] Speed: 71.300689 samples/sec accuracy=65.344742 loss=1.417827 lr=0.001000 Epoch[051] Batch [3199]/[3760] Speed: 70.678581 samples/sec accuracy=65.335449 loss=1.418007 lr=0.001000 Epoch[051] Batch [3249]/[3760] Speed: 69.528234 samples/sec accuracy=65.313942 loss=1.418546 lr=0.001000 Epoch[051] Batch [3299]/[3760] Speed: 67.779715 samples/sec accuracy=65.326705 loss=1.418392 lr=0.001000 Epoch[051] Batch [3349]/[3760] Speed: 70.642333 samples/sec accuracy=65.316698 loss=1.419192 lr=0.001000 Epoch[051] Batch [3399]/[3760] Speed: 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acc-top1=62.812500 acc-top5=84.070312 Batch [0249]/[0303]: acc-top1=62.850000 acc-top5=84.275000 Batch [0299]/[0303]: acc-top1=62.598958 acc-top5=84.140625 [Epoch 051] training: accuracy=65.330369 loss=1.419391 [Epoch 051] speed: 69 samples/sec time cost: 3754.626061 [Epoch 051] validation: acc-top1=62.572195 acc-top5=84.153259 loss=1.619314 Epoch[052] Batch [0049]/[3759] Speed: 47.460935 samples/sec accuracy=65.500000 loss=1.386121 lr=0.001000 Epoch[052] Batch [0099]/[3759] Speed: 70.110873 samples/sec accuracy=65.781250 loss=1.380632 lr=0.001000 Epoch[052] Batch [0149]/[3759] Speed: 68.699757 samples/sec accuracy=65.593750 loss=1.384657 lr=0.001000 Epoch[052] Batch [0199]/[3759] Speed: 70.349755 samples/sec accuracy=65.843750 loss=1.388002 lr=0.001000 Epoch[052] Batch [0249]/[3759] Speed: 69.976913 samples/sec accuracy=65.725000 loss=1.389013 lr=0.001000 Epoch[052] Batch [0299]/[3759] Speed: 70.047947 samples/sec accuracy=65.796875 loss=1.396624 lr=0.001000 Epoch[052] Batch 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accuracy=65.563356 loss=1.410290 lr=0.001000 Epoch[052] Batch [3699]/[3759] Speed: 68.695640 samples/sec accuracy=65.568412 loss=1.410273 lr=0.001000 Epoch[052] Batch [3749]/[3759] Speed: 77.948838 samples/sec accuracy=65.568750 loss=1.409956 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.031250 acc-top5=83.781250 Batch [0099]/[0303]: acc-top1=61.640625 acc-top5=83.609375 Batch [0149]/[0303]: acc-top1=62.708333 acc-top5=83.822917 Batch [0199]/[0303]: acc-top1=62.898438 acc-top5=84.203125 Batch [0249]/[0303]: acc-top1=62.912500 acc-top5=84.362500 Batch [0299]/[0303]: acc-top1=62.697917 acc-top5=84.177083 [Epoch 052] training: accuracy=65.572210 loss=1.410007 [Epoch 052] speed: 69 samples/sec time cost: 3751.173542 [Epoch 052] validation: acc-top1=62.665017 acc-top5=84.179043 loss=1.616696 Epoch[053] Batch [0049]/[3760] Speed: 46.885691 samples/sec accuracy=66.500000 loss=1.394891 lr=0.001000 Epoch[053] Batch [0099]/[3760] Speed: 69.511304 samples/sec accuracy=66.359375 loss=1.391383 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lr=0.001000 Epoch[053] Batch [2999]/[3760] Speed: 69.837269 samples/sec accuracy=65.834375 loss=1.400031 lr=0.001000 Epoch[053] Batch [3049]/[3760] Speed: 69.165186 samples/sec accuracy=65.839652 loss=1.400137 lr=0.001000 Epoch[053] Batch [3099]/[3760] Speed: 69.503026 samples/sec accuracy=65.821573 loss=1.399964 lr=0.001000 Epoch[053] Batch [3149]/[3760] Speed: 70.220293 samples/sec accuracy=65.815476 loss=1.399860 lr=0.001000 Epoch[053] Batch [3199]/[3760] Speed: 69.045839 samples/sec accuracy=65.804688 loss=1.401243 lr=0.001000 Epoch[053] Batch [3249]/[3760] Speed: 68.598577 samples/sec accuracy=65.786538 loss=1.401215 lr=0.001000 Epoch[053] Batch [3299]/[3760] Speed: 70.674880 samples/sec accuracy=65.800189 loss=1.400965 lr=0.001000 Epoch[053] Batch [3349]/[3760] Speed: 67.803375 samples/sec accuracy=65.793377 loss=1.401384 lr=0.001000 Epoch[053] Batch [3399]/[3760] Speed: 70.976419 samples/sec accuracy=65.795037 loss=1.401179 lr=0.001000 Epoch[053] Batch [3449]/[3760] Speed: 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[0299]/[0303]: acc-top1=62.375000 acc-top5=84.125000 [Epoch 053] training: accuracy=65.776679 loss=1.402705 [Epoch 053] speed: 69 samples/sec time cost: 3757.862211 [Epoch 053] validation: acc-top1=62.355611 acc-top5=84.142946 loss=1.616152 Epoch[054] Batch [0049]/[3760] Speed: 48.599260 samples/sec accuracy=67.437500 loss=1.344593 lr=0.001000 Epoch[054] Batch [0099]/[3760] Speed: 67.580826 samples/sec accuracy=66.343750 loss=1.385642 lr=0.001000 Epoch[054] Batch [0149]/[3760] Speed: 69.553993 samples/sec accuracy=66.239583 loss=1.388854 lr=0.001000 Epoch[054] Batch [0199]/[3760] Speed: 69.122662 samples/sec accuracy=66.078125 loss=1.394061 lr=0.001000 Epoch[054] Batch [0249]/[3760] Speed: 71.074661 samples/sec accuracy=66.118750 loss=1.396781 lr=0.001000 Epoch[054] Batch [0299]/[3760] Speed: 69.074767 samples/sec accuracy=66.026042 loss=1.399733 lr=0.001000 Epoch[054] Batch [0349]/[3760] Speed: 69.199387 samples/sec accuracy=65.995536 loss=1.395813 lr=0.001000 Epoch[054] Batch 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accuracy=66.011029 loss=1.390504 lr=0.001000 Epoch[054] Batch [0899]/[3760] Speed: 69.975554 samples/sec accuracy=66.027778 loss=1.388739 lr=0.001000 Epoch[054] Batch [0949]/[3760] Speed: 69.508615 samples/sec accuracy=66.036184 loss=1.388259 lr=0.001000 Epoch[054] Batch [0999]/[3760] Speed: 69.420265 samples/sec accuracy=66.032813 loss=1.388463 lr=0.001000 Epoch[054] Batch [1049]/[3760] Speed: 66.646518 samples/sec accuracy=66.046131 loss=1.387451 lr=0.001000 Epoch[054] Batch [1099]/[3760] Speed: 73.307518 samples/sec accuracy=66.019886 loss=1.388570 lr=0.001000 Epoch[054] Batch [1149]/[3760] Speed: 65.687916 samples/sec accuracy=65.975543 loss=1.390236 lr=0.001000 Epoch[054] Batch [1199]/[3760] Speed: 74.011260 samples/sec accuracy=65.950521 loss=1.391213 lr=0.001000 Epoch[054] Batch [1249]/[3760] Speed: 68.657126 samples/sec accuracy=65.912500 loss=1.391896 lr=0.001000 Epoch[054] Batch [1299]/[3760] Speed: 70.076766 samples/sec accuracy=65.894231 loss=1.392807 lr=0.001000 Epoch[054] 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accuracy=65.729167 loss=1.399385 lr=0.001000 Epoch[054] Batch [1849]/[3760] Speed: 68.768706 samples/sec accuracy=65.754223 loss=1.398460 lr=0.001000 Epoch[054] Batch [1899]/[3760] Speed: 71.470274 samples/sec accuracy=65.707237 loss=1.399907 lr=0.001000 Epoch[054] Batch [1949]/[3760] Speed: 68.547224 samples/sec accuracy=65.710737 loss=1.399252 lr=0.001000 Epoch[054] Batch [1999]/[3760] Speed: 70.131105 samples/sec accuracy=65.697656 loss=1.400778 lr=0.001000 Epoch[054] Batch [2049]/[3760] Speed: 69.687060 samples/sec accuracy=65.686738 loss=1.400326 lr=0.001000 Epoch[054] Batch [2099]/[3760] Speed: 69.027360 samples/sec accuracy=65.691964 loss=1.400440 lr=0.001000 Epoch[054] Batch [2149]/[3760] Speed: 69.784256 samples/sec accuracy=65.694041 loss=1.400101 lr=0.001000 Epoch[054] Batch [2199]/[3760] Speed: 69.786402 samples/sec accuracy=65.676136 loss=1.399945 lr=0.001000 Epoch[054] Batch [2249]/[3760] Speed: 70.194592 samples/sec accuracy=65.652083 loss=1.401031 lr=0.001000 Epoch[054] 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accuracy=65.604545 loss=1.403004 lr=0.001000 Epoch[054] Batch [2799]/[3760] Speed: 69.907203 samples/sec accuracy=65.573661 loss=1.403994 lr=0.001000 Epoch[054] Batch [2849]/[3760] Speed: 70.838831 samples/sec accuracy=65.576754 loss=1.403932 lr=0.001000 Epoch[054] Batch [2899]/[3760] Speed: 69.449651 samples/sec accuracy=65.582435 loss=1.403538 lr=0.001000 Epoch[054] Batch [2949]/[3760] Speed: 68.859651 samples/sec accuracy=65.581038 loss=1.403583 lr=0.001000 Epoch[054] Batch [2999]/[3760] Speed: 70.203970 samples/sec accuracy=65.608854 loss=1.402116 lr=0.001000 Epoch[054] Batch [3049]/[3760] Speed: 70.271411 samples/sec accuracy=65.597336 loss=1.402063 lr=0.001000 Epoch[054] Batch [3099]/[3760] Speed: 70.371603 samples/sec accuracy=65.578629 loss=1.402501 lr=0.001000 Epoch[054] Batch [3149]/[3760] Speed: 69.957251 samples/sec accuracy=65.561508 loss=1.403022 lr=0.001000 Epoch[054] Batch [3199]/[3760] Speed: 68.760924 samples/sec accuracy=65.574707 loss=1.402777 lr=0.001000 Epoch[054] 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accuracy=65.578970 loss=1.402804 lr=0.001000 Epoch[054] Batch [3749]/[3760] Speed: 76.173776 samples/sec accuracy=65.591250 loss=1.402214 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.531250 acc-top5=83.968750 Batch [0099]/[0303]: acc-top1=61.812500 acc-top5=83.625000 Batch [0149]/[0303]: acc-top1=62.583333 acc-top5=83.958333 Batch [0199]/[0303]: acc-top1=62.960938 acc-top5=84.273438 Batch [0249]/[0303]: acc-top1=63.093750 acc-top5=84.462500 Batch [0299]/[0303]: acc-top1=62.781250 acc-top5=84.281250 [Epoch 054] training: accuracy=65.586353 loss=1.402429 [Epoch 054] speed: 69 samples/sec time cost: 3752.978800 [Epoch 054] validation: acc-top1=62.783622 acc-top5=84.287335 loss=1.611367 Epoch[055] Batch [0049]/[3759] Speed: 48.704505 samples/sec accuracy=66.031250 loss=1.387979 lr=0.001000 Epoch[055] Batch [0099]/[3759] Speed: 69.396771 samples/sec accuracy=66.328125 loss=1.376967 lr=0.001000 Epoch[055] Batch [0149]/[3759] Speed: 68.431642 samples/sec accuracy=66.385417 loss=1.376832 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70.034293 samples/sec accuracy=65.920982 loss=1.393012 lr=0.001000 Epoch[055] Batch [3549]/[3759] Speed: 70.072501 samples/sec accuracy=65.916813 loss=1.392368 lr=0.001000 Epoch[055] Batch [3599]/[3759] Speed: 68.843832 samples/sec accuracy=65.946615 loss=1.391705 lr=0.001000 Epoch[055] Batch [3649]/[3759] Speed: 70.284726 samples/sec accuracy=65.945205 loss=1.391831 lr=0.001000 Epoch[055] Batch [3699]/[3759] Speed: 69.023040 samples/sec accuracy=65.946791 loss=1.391680 lr=0.001000 Epoch[055] Batch [3749]/[3759] Speed: 77.827357 samples/sec accuracy=65.936667 loss=1.391836 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.093750 acc-top5=83.968750 Batch [0099]/[0303]: acc-top1=61.656250 acc-top5=83.734375 Batch [0149]/[0303]: acc-top1=62.562500 acc-top5=84.062500 Batch [0199]/[0303]: acc-top1=62.890625 acc-top5=84.421875 Batch [0249]/[0303]: acc-top1=63.056250 acc-top5=84.625000 Batch [0299]/[0303]: acc-top1=62.864583 acc-top5=84.406250 [Epoch 055] training: accuracy=65.934258 loss=1.391850 [Epoch 055] speed: 69 samples/sec time cost: 3754.622686 [Epoch 055] validation: acc-top1=62.845503 acc-top5=84.411097 loss=1.605728 Epoch[056] Batch [0049]/[3760] Speed: 47.779409 samples/sec accuracy=65.937500 loss=1.363471 lr=0.001000 Epoch[056] Batch [0099]/[3760] Speed: 69.357322 samples/sec accuracy=66.343750 loss=1.370033 lr=0.001000 Epoch[056] Batch [0149]/[3760] Speed: 70.924790 samples/sec accuracy=66.635417 loss=1.368098 lr=0.001000 Epoch[056] Batch [0199]/[3760] Speed: 69.790372 samples/sec accuracy=66.515625 loss=1.369706 lr=0.001000 Epoch[056] Batch [0249]/[3760] Speed: 69.778047 samples/sec accuracy=66.275000 loss=1.374831 lr=0.001000 Epoch[056] Batch [0299]/[3760] Speed: 69.986250 samples/sec accuracy=66.109375 loss=1.376549 lr=0.001000 Epoch[056] Batch [0349]/[3760] Speed: 66.627194 samples/sec accuracy=66.281250 loss=1.372168 lr=0.001000 Epoch[056] Batch [0399]/[3760] Speed: 68.980785 samples/sec accuracy=66.289062 loss=1.371961 lr=0.001000 Epoch[056] Batch 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accuracy=65.923611 loss=1.387751 lr=0.001000 Epoch[056] Batch [0949]/[3760] Speed: 69.605468 samples/sec accuracy=65.901316 loss=1.387582 lr=0.001000 Epoch[056] Batch [0999]/[3760] Speed: 70.711699 samples/sec accuracy=65.842188 loss=1.389638 lr=0.001000 Epoch[056] Batch [1049]/[3760] Speed: 67.204954 samples/sec accuracy=65.897321 loss=1.387242 lr=0.001000 Epoch[056] Batch [1099]/[3760] Speed: 70.760161 samples/sec accuracy=65.894886 loss=1.388383 lr=0.001000 Epoch[056] Batch [1149]/[3760] Speed: 68.374322 samples/sec accuracy=65.891304 loss=1.389853 lr=0.001000 Epoch[056] Batch [1199]/[3760] Speed: 70.875908 samples/sec accuracy=65.919271 loss=1.388141 lr=0.001000 Epoch[056] Batch [1249]/[3760] Speed: 69.259327 samples/sec accuracy=65.976250 loss=1.385611 lr=0.001000 Epoch[056] Batch [1299]/[3760] Speed: 69.075657 samples/sec accuracy=66.013221 loss=1.383487 lr=0.001000 Epoch[056] Batch [1349]/[3760] Speed: 71.251908 samples/sec accuracy=66.064815 loss=1.382966 lr=0.001000 Epoch[056] 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accuracy=66.016892 loss=1.387741 lr=0.001000 Epoch[056] Batch [1899]/[3760] Speed: 70.465000 samples/sec accuracy=66.017270 loss=1.387843 lr=0.001000 Epoch[056] Batch [1949]/[3760] Speed: 68.500645 samples/sec accuracy=66.019231 loss=1.387320 lr=0.001000 Epoch[056] Batch [1999]/[3760] Speed: 68.970649 samples/sec accuracy=66.045312 loss=1.386154 lr=0.001000 Epoch[056] Batch [2049]/[3760] Speed: 71.237548 samples/sec accuracy=66.026677 loss=1.387268 lr=0.001000 Epoch[056] Batch [2099]/[3760] Speed: 69.783613 samples/sec accuracy=66.034970 loss=1.386458 lr=0.001000 Epoch[056] Batch [2149]/[3760] Speed: 68.211050 samples/sec accuracy=66.038517 loss=1.385390 lr=0.001000 Epoch[056] Batch [2199]/[3760] Speed: 71.136494 samples/sec accuracy=66.053977 loss=1.384948 lr=0.001000 Epoch[056] Batch [2249]/[3760] Speed: 68.959138 samples/sec accuracy=66.025694 loss=1.385837 lr=0.001000 Epoch[056] Batch [2299]/[3760] Speed: 70.756113 samples/sec accuracy=66.005435 loss=1.386553 lr=0.001000 Epoch[056] 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accuracy=66.035714 loss=1.387291 lr=0.001000 Epoch[056] Batch [2849]/[3760] Speed: 69.735938 samples/sec accuracy=66.036732 loss=1.387892 lr=0.001000 Epoch[056] Batch [2899]/[3760] Speed: 69.105775 samples/sec accuracy=66.045259 loss=1.387845 lr=0.001000 Epoch[056] Batch [2949]/[3760] Speed: 69.567893 samples/sec accuracy=66.060381 loss=1.387356 lr=0.001000 Epoch[056] Batch [2999]/[3760] Speed: 70.383972 samples/sec accuracy=66.081250 loss=1.387093 lr=0.001000 Epoch[056] Batch [3049]/[3760] Speed: 64.583665 samples/sec accuracy=66.107582 loss=1.386141 lr=0.001000 Epoch[056] Batch [3099]/[3760] Speed: 73.969916 samples/sec accuracy=66.105847 loss=1.386356 lr=0.001000 Epoch[056] Batch [3149]/[3760] Speed: 69.586802 samples/sec accuracy=66.102679 loss=1.386461 lr=0.001000 Epoch[056] Batch [3199]/[3760] Speed: 70.099796 samples/sec accuracy=66.071289 loss=1.387238 lr=0.001000 Epoch[056] Batch [3249]/[3760] Speed: 70.270586 samples/sec accuracy=66.061538 loss=1.388166 lr=0.001000 Epoch[056] Batch [3299]/[3760] Speed: 71.114457 samples/sec accuracy=66.063447 loss=1.388201 lr=0.001000 Epoch[056] Batch [3349]/[3760] Speed: 67.970153 samples/sec accuracy=66.073228 loss=1.388149 lr=0.001000 Epoch[056] Batch [3399]/[3760] Speed: 70.590570 samples/sec accuracy=66.072151 loss=1.388901 lr=0.001000 Epoch[056] Batch [3449]/[3760] Speed: 67.358859 samples/sec accuracy=66.069293 loss=1.388975 lr=0.001000 Epoch[056] Batch [3499]/[3760] Speed: 72.372172 samples/sec accuracy=66.074107 loss=1.388381 lr=0.001000 Epoch[056] Batch [3549]/[3760] Speed: 70.132307 samples/sec accuracy=66.062060 loss=1.389012 lr=0.001000 Epoch[056] Batch [3599]/[3760] Speed: 69.665152 samples/sec accuracy=66.067274 loss=1.389005 lr=0.001000 Epoch[056] Batch [3649]/[3760] Speed: 68.105108 samples/sec accuracy=66.073202 loss=1.388793 lr=0.001000 Epoch[056] Batch [3699]/[3760] Speed: 72.017295 samples/sec accuracy=66.059544 loss=1.389340 lr=0.001000 Epoch[056] Batch [3749]/[3760] Speed: 78.123844 samples/sec accuracy=66.038750 loss=1.389938 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.562500 acc-top5=84.031250 Batch [0099]/[0303]: acc-top1=61.703125 acc-top5=83.468750 Batch [0149]/[0303]: acc-top1=62.614583 acc-top5=83.958333 Batch [0199]/[0303]: acc-top1=63.132812 acc-top5=84.375000 Batch [0249]/[0303]: acc-top1=63.212500 acc-top5=84.531250 Batch [0299]/[0303]: acc-top1=63.000000 acc-top5=84.375000 [Epoch 056] training: accuracy=66.043467 loss=1.389734 [Epoch 056] speed: 69 samples/sec time cost: 3754.810975 [Epoch 056] validation: acc-top1=62.953795 acc-top5=84.385314 loss=1.602101 Epoch[057] Batch [0049]/[3760] Speed: 47.645156 samples/sec accuracy=65.750000 loss=1.397732 lr=0.001000 Epoch[057] Batch [0099]/[3760] Speed: 69.048984 samples/sec accuracy=66.812500 loss=1.358044 lr=0.001000 Epoch[057] Batch [0149]/[3760] Speed: 69.653004 samples/sec accuracy=66.583333 loss=1.361113 lr=0.001000 Epoch[057] Batch [0199]/[3760] Speed: 70.223035 samples/sec accuracy=66.664062 loss=1.367214 lr=0.001000 Epoch[057] Batch [0249]/[3760] Speed: 68.689743 samples/sec accuracy=67.181250 loss=1.354483 lr=0.001000 Epoch[057] Batch [0299]/[3760] Speed: 70.243552 samples/sec accuracy=66.927083 loss=1.357409 lr=0.001000 Epoch[057] Batch [0349]/[3760] Speed: 69.071969 samples/sec accuracy=66.901786 loss=1.357328 lr=0.001000 Epoch[057] Batch [0399]/[3760] Speed: 70.370315 samples/sec accuracy=66.773438 loss=1.361708 lr=0.001000 Epoch[057] Batch [0449]/[3760] Speed: 68.130044 samples/sec accuracy=66.854167 loss=1.359777 lr=0.001000 Epoch[057] Batch [0499]/[3760] Speed: 70.353392 samples/sec accuracy=66.746875 loss=1.363482 lr=0.001000 Epoch[057] Batch [0549]/[3760] Speed: 69.831562 samples/sec accuracy=66.678977 loss=1.364604 lr=0.001000 Epoch[057] Batch [0599]/[3760] Speed: 68.306121 samples/sec accuracy=66.539062 loss=1.369199 lr=0.001000 Epoch[057] Batch [0649]/[3760] Speed: 71.297613 samples/sec accuracy=66.492788 loss=1.372998 lr=0.001000 Epoch[057] Batch [0699]/[3760] Speed: 69.081905 samples/sec accuracy=66.482143 loss=1.372171 lr=0.001000 Epoch[057] Batch [0749]/[3760] Speed: 70.987725 samples/sec accuracy=66.437500 loss=1.373243 lr=0.001000 Epoch[057] Batch [0799]/[3760] Speed: 68.134539 samples/sec accuracy=66.294922 loss=1.378631 lr=0.001000 Epoch[057] Batch [0849]/[3760] Speed: 70.721718 samples/sec accuracy=66.387868 loss=1.375559 lr=0.001000 Epoch[057] Batch [0899]/[3760] Speed: 69.672974 samples/sec accuracy=66.362847 loss=1.378871 lr=0.001000 Epoch[057] Batch [0949]/[3760] Speed: 67.913084 samples/sec accuracy=66.394737 loss=1.376400 lr=0.001000 Epoch[057] Batch [0999]/[3760] Speed: 70.277937 samples/sec accuracy=66.398438 loss=1.375729 lr=0.001000 Epoch[057] Batch [1049]/[3760] Speed: 70.228398 samples/sec accuracy=66.364583 loss=1.379039 lr=0.001000 Epoch[057] Batch [1099]/[3760] Speed: 69.715173 samples/sec accuracy=66.369318 loss=1.376551 lr=0.001000 Epoch[057] Batch [1149]/[3760] Speed: 69.790016 samples/sec accuracy=66.392663 loss=1.375889 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acc-top5=84.271865 loss=1.606785 Epoch[058] Batch [0049]/[3759] Speed: 48.335850 samples/sec accuracy=67.500000 loss=1.329209 lr=0.001000 Epoch[058] Batch [0099]/[3759] Speed: 68.885050 samples/sec accuracy=67.343750 loss=1.347218 lr=0.001000 Epoch[058] Batch [0149]/[3759] Speed: 69.560268 samples/sec accuracy=67.135417 loss=1.346929 lr=0.001000 Epoch[058] Batch [0199]/[3759] Speed: 70.339601 samples/sec accuracy=66.992188 loss=1.349571 lr=0.001000 Epoch[058] Batch [0249]/[3759] Speed: 69.184684 samples/sec accuracy=66.862500 loss=1.363175 lr=0.001000 Epoch[058] Batch [0299]/[3759] Speed: 69.871127 samples/sec accuracy=66.916667 loss=1.364441 lr=0.001000 Epoch[058] Batch [0349]/[3759] Speed: 70.165196 samples/sec accuracy=66.808036 loss=1.368773 lr=0.001000 Epoch[058] Batch [0399]/[3759] Speed: 68.910140 samples/sec accuracy=66.824219 loss=1.369461 lr=0.001000 Epoch[058] Batch [0449]/[3759] Speed: 70.370392 samples/sec accuracy=66.777778 loss=1.372073 lr=0.001000 Epoch[058] Batch 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accuracy=66.830592 loss=1.363187 lr=0.001000 Epoch[058] Batch [0999]/[3759] Speed: 69.999227 samples/sec accuracy=66.798437 loss=1.364824 lr=0.001000 Epoch[058] Batch [1049]/[3759] Speed: 70.637890 samples/sec accuracy=66.763393 loss=1.366478 lr=0.001000 Epoch[058] Batch [1099]/[3759] Speed: 69.760815 samples/sec accuracy=66.705966 loss=1.364896 lr=0.001000 Epoch[058] Batch [1149]/[3759] Speed: 69.308412 samples/sec accuracy=66.618207 loss=1.368504 lr=0.001000 Epoch[058] Batch [1199]/[3759] Speed: 69.808942 samples/sec accuracy=66.608073 loss=1.369189 lr=0.001000 Epoch[058] Batch [1249]/[3759] Speed: 69.112784 samples/sec accuracy=66.578750 loss=1.369819 lr=0.001000 Epoch[058] Batch [1299]/[3759] Speed: 70.982545 samples/sec accuracy=66.556490 loss=1.371048 lr=0.001000 Epoch[058] Batch [1349]/[3759] Speed: 69.358408 samples/sec accuracy=66.533565 loss=1.371820 lr=0.001000 Epoch[058] Batch [1399]/[3759] Speed: 68.514188 samples/sec accuracy=66.505580 loss=1.372507 lr=0.001000 Epoch[058] 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accuracy=66.529605 loss=1.369314 lr=0.001000 Epoch[058] Batch [1949]/[3759] Speed: 70.041887 samples/sec accuracy=66.513622 loss=1.369213 lr=0.001000 Epoch[058] Batch [1999]/[3759] Speed: 69.168668 samples/sec accuracy=66.485156 loss=1.369984 lr=0.001000 Epoch[058] Batch [2049]/[3759] Speed: 70.340001 samples/sec accuracy=66.483994 loss=1.370618 lr=0.001000 Epoch[058] Batch [2099]/[3759] Speed: 68.621371 samples/sec accuracy=66.484375 loss=1.369913 lr=0.001000 Epoch[058] Batch [2149]/[3759] Speed: 70.214725 samples/sec accuracy=66.508721 loss=1.369435 lr=0.001000 Epoch[058] Batch [2199]/[3759] Speed: 70.642300 samples/sec accuracy=66.458097 loss=1.371383 lr=0.001000 Epoch[058] Batch [2249]/[3759] Speed: 69.165140 samples/sec accuracy=66.429861 loss=1.372011 lr=0.001000 Epoch[058] Batch [2299]/[3759] Speed: 69.370512 samples/sec accuracy=66.440217 loss=1.371329 lr=0.001000 Epoch[058] Batch [2349]/[3759] Speed: 71.438121 samples/sec accuracy=66.428191 loss=1.371407 lr=0.001000 Epoch[058] 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accuracy=66.456140 loss=1.370782 lr=0.001000 Epoch[058] Batch [2899]/[3759] Speed: 70.137150 samples/sec accuracy=66.448815 loss=1.371279 lr=0.001000 Epoch[058] Batch [2949]/[3759] Speed: 70.004974 samples/sec accuracy=66.430614 loss=1.372485 lr=0.001000 Epoch[058] Batch [2999]/[3759] Speed: 70.766628 samples/sec accuracy=66.425000 loss=1.372806 lr=0.001000 Epoch[058] Batch [3049]/[3759] Speed: 67.782295 samples/sec accuracy=66.415471 loss=1.373181 lr=0.001000 Epoch[058] Batch [3099]/[3759] Speed: 70.890863 samples/sec accuracy=66.412802 loss=1.373587 lr=0.001000 Epoch[058] Batch [3149]/[3759] Speed: 70.894388 samples/sec accuracy=66.390873 loss=1.374099 lr=0.001000 Epoch[058] Batch [3199]/[3759] Speed: 69.701705 samples/sec accuracy=66.402344 loss=1.374200 lr=0.001000 Epoch[058] Batch [3249]/[3759] Speed: 69.633520 samples/sec accuracy=66.386058 loss=1.374868 lr=0.001000 Epoch[058] Batch [3299]/[3759] Speed: 70.163192 samples/sec accuracy=66.410985 loss=1.373847 lr=0.001000 Epoch[058] Batch [3349]/[3759] Speed: 69.167048 samples/sec accuracy=66.412313 loss=1.373703 lr=0.001000 Epoch[058] Batch [3399]/[3759] Speed: 69.880119 samples/sec accuracy=66.410846 loss=1.373629 lr=0.001000 Epoch[058] Batch [3449]/[3759] Speed: 66.690279 samples/sec accuracy=66.395380 loss=1.374560 lr=0.001000 Epoch[058] Batch [3499]/[3759] Speed: 72.739599 samples/sec accuracy=66.400893 loss=1.374109 lr=0.001000 Epoch[058] Batch [3549]/[3759] Speed: 67.309787 samples/sec accuracy=66.408011 loss=1.373808 lr=0.001000 Epoch[058] Batch [3599]/[3759] Speed: 71.039983 samples/sec accuracy=66.411458 loss=1.373867 lr=0.001000 Epoch[058] Batch [3649]/[3759] Speed: 69.506253 samples/sec accuracy=66.413527 loss=1.373664 lr=0.001000 Epoch[058] Batch [3699]/[3759] Speed: 71.016915 samples/sec accuracy=66.413007 loss=1.373726 lr=0.001000 Epoch[058] Batch [3749]/[3759] Speed: 77.235045 samples/sec accuracy=66.401250 loss=1.374151 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.031250 acc-top5=83.468750 Batch [0099]/[0303]: acc-top1=62.156250 acc-top5=83.437500 Batch [0149]/[0303]: acc-top1=62.958333 acc-top5=83.895833 Batch [0199]/[0303]: acc-top1=63.250000 acc-top5=84.320312 Batch [0249]/[0303]: acc-top1=63.325000 acc-top5=84.525000 Batch [0299]/[0303]: acc-top1=63.052083 acc-top5=84.322917 [Epoch 058] training: accuracy=66.391909 loss=1.374477 [Epoch 058] speed: 69 samples/sec time cost: 3751.374909 [Epoch 058] validation: acc-top1=63.015677 acc-top5=84.313119 loss=1.602246 Epoch[059] Batch [0049]/[3760] Speed: 48.097164 samples/sec accuracy=65.906250 loss=1.390382 lr=0.001000 Epoch[059] Batch [0099]/[3760] Speed: 66.320335 samples/sec accuracy=66.562500 loss=1.359493 lr=0.001000 Epoch[059] Batch [0149]/[3760] Speed: 69.221905 samples/sec accuracy=66.864583 loss=1.357093 lr=0.001000 Epoch[059] Batch [0199]/[3760] Speed: 71.281310 samples/sec accuracy=66.664062 loss=1.368823 lr=0.001000 Epoch[059] Batch [0249]/[3760] Speed: 69.526247 samples/sec accuracy=66.693750 loss=1.359069 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acc-top5=83.885417 Batch [0199]/[0303]: acc-top1=63.304688 acc-top5=84.304688 Batch [0249]/[0303]: acc-top1=63.362500 acc-top5=84.500000 Batch [0299]/[0303]: acc-top1=63.083333 acc-top5=84.328125 [Epoch 060] training: accuracy=66.596576 loss=1.362457 [Epoch 060] speed: 69 samples/sec time cost: 3755.469269 [Epoch 060] validation: acc-top1=63.077558 acc-top5=84.338903 loss=1.599669 Epoch[061] Batch [0049]/[3759] Speed: 47.457948 samples/sec accuracy=66.781250 loss=1.313421 lr=0.001000 Epoch[061] Batch [0099]/[3759] Speed: 68.975172 samples/sec accuracy=66.328125 loss=1.364428 lr=0.001000 Epoch[061] Batch [0149]/[3759] Speed: 68.806278 samples/sec accuracy=66.552083 loss=1.357556 lr=0.001000 Epoch[061] Batch [0199]/[3759] Speed: 70.056349 samples/sec accuracy=66.367188 loss=1.358786 lr=0.001000 Epoch[061] Batch [0249]/[3759] Speed: 70.612787 samples/sec accuracy=66.275000 loss=1.370842 lr=0.001000 Epoch[061] Batch [0299]/[3759] Speed: 70.226290 samples/sec accuracy=66.437500 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lr=0.001000 Epoch[062] Batch [3449]/[3760] Speed: 68.735923 samples/sec accuracy=66.835145 loss=1.356029 lr=0.001000 Epoch[062] Batch [3499]/[3760] Speed: 71.152270 samples/sec accuracy=66.825446 loss=1.356275 lr=0.001000 Epoch[062] Batch [3549]/[3760] Speed: 65.561360 samples/sec accuracy=66.834507 loss=1.356009 lr=0.001000 Epoch[062] Batch [3599]/[3760] Speed: 72.547354 samples/sec accuracy=66.831597 loss=1.355723 lr=0.001000 Epoch[062] Batch [3649]/[3760] Speed: 68.695931 samples/sec accuracy=66.832192 loss=1.355572 lr=0.001000 Epoch[062] Batch [3699]/[3760] Speed: 70.477643 samples/sec accuracy=66.836571 loss=1.355369 lr=0.001000 Epoch[062] Batch [3749]/[3760] Speed: 77.012756 samples/sec accuracy=66.845417 loss=1.355266 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.875000 acc-top5=84.437500 Batch [0099]/[0303]: acc-top1=62.171875 acc-top5=84.078125 Batch [0149]/[0303]: acc-top1=62.937500 acc-top5=84.145833 Batch [0199]/[0303]: acc-top1=63.179688 acc-top5=84.421875 Batch [0249]/[0303]: acc-top1=63.300000 acc-top5=84.656250 Batch [0299]/[0303]: acc-top1=63.088542 acc-top5=84.421875 [Epoch 062] training: accuracy=66.839262 loss=1.355432 [Epoch 062] speed: 69 samples/sec time cost: 3757.428137 [Epoch 062] validation: acc-top1=63.051774 acc-top5=84.431724 loss=1.594561 Epoch[063] Batch [0049]/[3760] Speed: 48.756097 samples/sec accuracy=66.218750 loss=1.381627 lr=0.001000 Epoch[063] Batch [0099]/[3760] Speed: 68.897540 samples/sec accuracy=66.593750 loss=1.382407 lr=0.001000 Epoch[063] Batch [0149]/[3760] Speed: 68.214434 samples/sec accuracy=67.125000 loss=1.373539 lr=0.001000 Epoch[063] Batch [0199]/[3760] Speed: 69.817291 samples/sec accuracy=67.281250 loss=1.348061 lr=0.001000 Epoch[063] Batch [0249]/[3760] Speed: 70.384574 samples/sec accuracy=67.187500 loss=1.355787 lr=0.001000 Epoch[063] Batch [0299]/[3760] Speed: 69.826759 samples/sec accuracy=67.213542 loss=1.350411 lr=0.001000 Epoch[063] Batch [0349]/[3760] Speed: 69.222351 samples/sec 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accuracy=67.010742 loss=1.343930 lr=0.001000 Epoch[063] Batch [3249]/[3760] Speed: 68.056705 samples/sec accuracy=66.984135 loss=1.344564 lr=0.001000 Epoch[063] Batch [3299]/[3760] Speed: 70.890921 samples/sec accuracy=66.983428 loss=1.344522 lr=0.001000 Epoch[063] Batch [3349]/[3760] Speed: 70.125027 samples/sec accuracy=66.963619 loss=1.345196 lr=0.001000 Epoch[063] Batch [3399]/[3760] Speed: 69.610490 samples/sec accuracy=66.969669 loss=1.345118 lr=0.001000 Epoch[063] Batch [3449]/[3760] Speed: 69.947023 samples/sec accuracy=66.948822 loss=1.345204 lr=0.001000 Epoch[063] Batch [3499]/[3760] Speed: 68.770500 samples/sec accuracy=66.946429 loss=1.344968 lr=0.001000 Epoch[063] Batch [3549]/[3760] Speed: 70.277644 samples/sec accuracy=66.947623 loss=1.345016 lr=0.001000 Epoch[063] Batch [3599]/[3760] Speed: 69.900692 samples/sec accuracy=66.929253 loss=1.345304 lr=0.001000 Epoch[063] Batch [3649]/[3760] Speed: 70.440600 samples/sec accuracy=66.942637 loss=1.345006 lr=0.001000 Epoch[063] Batch [3699]/[3760] Speed: 68.052457 samples/sec accuracy=66.949747 loss=1.344682 lr=0.001000 Epoch[063] Batch [3749]/[3760] Speed: 77.641212 samples/sec accuracy=66.948750 loss=1.344946 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.687500 acc-top5=83.781250 Batch [0099]/[0303]: acc-top1=61.781250 acc-top5=83.500000 Batch [0149]/[0303]: acc-top1=62.614583 acc-top5=83.968750 Batch [0199]/[0303]: acc-top1=63.031250 acc-top5=84.445312 Batch [0249]/[0303]: acc-top1=63.106250 acc-top5=84.575000 Batch [0299]/[0303]: acc-top1=62.864583 acc-top5=84.338542 [Epoch 063] training: accuracy=66.956449 loss=1.344876 [Epoch 063] speed: 69 samples/sec time cost: 3750.874964 [Epoch 063] validation: acc-top1=62.855817 acc-top5=84.354373 loss=1.616013 Epoch[064] Batch [0049]/[3759] Speed: 48.819778 samples/sec accuracy=67.343750 loss=1.343325 lr=0.001000 Epoch[064] Batch [0099]/[3759] Speed: 69.437015 samples/sec accuracy=67.687500 loss=1.327776 lr=0.001000 Epoch[064] Batch [0149]/[3759] Speed: 68.917333 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lr=0.001000 Epoch[064] Batch [2549]/[3759] Speed: 71.200763 samples/sec accuracy=67.091912 loss=1.338484 lr=0.001000 Epoch[064] Batch [2599]/[3759] Speed: 68.939853 samples/sec accuracy=67.084736 loss=1.338669 lr=0.001000 Epoch[064] Batch [2649]/[3759] Speed: 70.107334 samples/sec accuracy=67.076651 loss=1.339408 lr=0.001000 Epoch[064] Batch [2699]/[3759] Speed: 68.703335 samples/sec accuracy=67.098958 loss=1.338849 lr=0.001000 Epoch[064] Batch [2749]/[3759] Speed: 67.256024 samples/sec accuracy=67.107955 loss=1.338567 lr=0.001000 Epoch[064] Batch [2799]/[3759] Speed: 71.460774 samples/sec accuracy=67.112723 loss=1.339070 lr=0.001000 Epoch[064] Batch [2849]/[3759] Speed: 70.707810 samples/sec accuracy=67.097588 loss=1.339501 lr=0.001000 Epoch[064] Batch [2899]/[3759] Speed: 68.427819 samples/sec accuracy=67.109914 loss=1.339260 lr=0.001000 Epoch[064] Batch [2949]/[3759] Speed: 70.565867 samples/sec accuracy=67.095869 loss=1.339917 lr=0.001000 Epoch[064] Batch [2999]/[3759] Speed: 69.749595 samples/sec accuracy=67.081771 loss=1.340127 lr=0.001000 Epoch[064] Batch [3049]/[3759] Speed: 69.629841 samples/sec accuracy=67.068135 loss=1.340812 lr=0.001000 Epoch[064] Batch [3099]/[3759] Speed: 70.545054 samples/sec accuracy=67.058972 loss=1.341302 lr=0.001000 Epoch[064] Batch [3149]/[3759] Speed: 67.892871 samples/sec accuracy=67.064980 loss=1.341477 lr=0.001000 Epoch[064] Batch [3199]/[3759] Speed: 71.204978 samples/sec accuracy=67.051270 loss=1.341879 lr=0.001000 Epoch[064] Batch [3249]/[3759] Speed: 69.097194 samples/sec accuracy=67.057212 loss=1.341001 lr=0.001000 Epoch[064] Batch [3299]/[3759] Speed: 69.472505 samples/sec accuracy=67.044034 loss=1.340959 lr=0.001000 Epoch[064] Batch [3349]/[3759] Speed: 70.865873 samples/sec accuracy=67.050373 loss=1.340705 lr=0.001000 Epoch[064] Batch [3399]/[3759] Speed: 68.599736 samples/sec accuracy=67.031710 loss=1.341307 lr=0.001000 Epoch[064] Batch [3449]/[3759] Speed: 70.779481 samples/sec accuracy=67.021286 loss=1.341523 lr=0.001000 Epoch[064] Batch [3499]/[3759] Speed: 68.786641 samples/sec accuracy=67.008482 loss=1.342288 lr=0.001000 Epoch[064] Batch [3549]/[3759] Speed: 65.817945 samples/sec accuracy=67.003081 loss=1.342990 lr=0.001000 Epoch[064] Batch [3599]/[3759] Speed: 72.112498 samples/sec accuracy=67.013021 loss=1.343423 lr=0.001000 Epoch[064] Batch [3649]/[3759] Speed: 70.384808 samples/sec accuracy=67.015411 loss=1.343405 lr=0.001000 Epoch[064] Batch [3699]/[3759] Speed: 70.774159 samples/sec accuracy=67.018581 loss=1.343370 lr=0.001000 Epoch[064] Batch [3749]/[3759] Speed: 77.463549 samples/sec accuracy=67.025000 loss=1.343713 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.031250 acc-top5=84.187500 Batch [0099]/[0303]: acc-top1=62.000000 acc-top5=83.546875 Batch [0149]/[0303]: acc-top1=62.687500 acc-top5=84.000000 Batch [0199]/[0303]: acc-top1=63.132812 acc-top5=84.343750 Batch [0249]/[0303]: acc-top1=63.212500 acc-top5=84.612500 Batch [0299]/[0303]: acc-top1=63.010417 acc-top5=84.484375 [Epoch 064] training: accuracy=67.019154 loss=1.343893 [Epoch 064] speed: 69 samples/sec time cost: 3754.396767 [Epoch 064] validation: acc-top1=62.974422 acc-top5=84.483292 loss=1.602141 Epoch[065] Batch [0049]/[3760] Speed: 46.112740 samples/sec accuracy=67.875000 loss=1.309230 lr=0.001000 Epoch[065] Batch [0099]/[3760] Speed: 71.275008 samples/sec accuracy=67.656250 loss=1.315710 lr=0.001000 Epoch[065] Batch [0149]/[3760] Speed: 70.069867 samples/sec accuracy=67.510417 loss=1.325287 lr=0.001000 Epoch[065] Batch [0199]/[3760] Speed: 69.374963 samples/sec accuracy=67.687500 loss=1.330394 lr=0.001000 Epoch[065] Batch [0249]/[3760] Speed: 69.004488 samples/sec accuracy=67.375000 loss=1.338544 lr=0.001000 Epoch[065] Batch [0299]/[3760] Speed: 69.743907 samples/sec accuracy=67.276042 loss=1.339828 lr=0.001000 Epoch[065] Batch [0349]/[3760] Speed: 70.336540 samples/sec accuracy=67.133929 loss=1.345905 lr=0.001000 Epoch[065] Batch [0399]/[3760] Speed: 67.678606 samples/sec accuracy=67.230469 loss=1.341577 lr=0.001000 Epoch[065] Batch [0449]/[3760] Speed: 72.103279 samples/sec accuracy=67.274306 loss=1.337412 lr=0.001000 Epoch[065] Batch [0499]/[3760] Speed: 66.451800 samples/sec accuracy=67.359375 loss=1.335486 lr=0.001000 Epoch[065] Batch [0549]/[3760] Speed: 72.039132 samples/sec accuracy=67.397727 loss=1.333250 lr=0.001000 Epoch[065] Batch [0599]/[3760] Speed: 70.373304 samples/sec accuracy=67.390625 loss=1.334651 lr=0.001000 Epoch[065] Batch [0649]/[3760] Speed: 69.808713 samples/sec accuracy=67.319712 loss=1.337667 lr=0.001000 Epoch[065] Batch [0699]/[3760] Speed: 68.850918 samples/sec accuracy=67.265625 loss=1.337765 lr=0.001000 Epoch[065] Batch [0749]/[3760] Speed: 70.108624 samples/sec accuracy=67.210417 loss=1.341007 lr=0.001000 Epoch[065] Batch [0799]/[3760] Speed: 69.097236 samples/sec accuracy=67.230469 loss=1.340618 lr=0.001000 Epoch[065] Batch [0849]/[3760] Speed: 70.193435 samples/sec accuracy=67.229779 loss=1.340288 lr=0.001000 Epoch[065] 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Batch [3749]/[3760] Speed: 75.956104 samples/sec accuracy=67.102083 loss=1.340517 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.531250 acc-top5=83.781250 Batch [0099]/[0303]: acc-top1=62.031250 acc-top5=83.500000 Batch [0149]/[0303]: acc-top1=62.906250 acc-top5=83.979167 Batch [0199]/[0303]: acc-top1=63.164062 acc-top5=84.335938 Batch [0249]/[0303]: acc-top1=63.275000 acc-top5=84.531250 Batch [0299]/[0303]: acc-top1=62.994792 acc-top5=84.338542 [Epoch 065] training: accuracy=67.102726 loss=1.340655 [Epoch 065] speed: 69 samples/sec time cost: 3757.273819 [Epoch 065] validation: acc-top1=62.953795 acc-top5=84.359530 loss=1.606797 Epoch[066] Batch [0049]/[3759] Speed: 48.631939 samples/sec accuracy=66.531250 loss=1.366056 lr=0.001000 Epoch[066] Batch [0099]/[3759] Speed: 68.433100 samples/sec accuracy=67.062500 loss=1.344378 lr=0.001000 Epoch[066] Batch [0149]/[3759] Speed: 66.848198 samples/sec accuracy=66.875000 loss=1.353218 lr=0.001000 Epoch[066] Batch [0199]/[3759] Speed: 71.230590 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lr=0.001000 Epoch[066] Batch [3549]/[3759] Speed: 69.866037 samples/sec accuracy=67.298415 loss=1.332453 lr=0.001000 Epoch[066] Batch [3599]/[3759] Speed: 69.629592 samples/sec accuracy=67.281684 loss=1.333098 lr=0.001000 Epoch[066] Batch [3649]/[3759] Speed: 70.734287 samples/sec accuracy=67.268408 loss=1.333871 lr=0.001000 Epoch[066] Batch [3699]/[3759] Speed: 69.098004 samples/sec accuracy=67.272804 loss=1.333911 lr=0.001000 Epoch[066] Batch [3749]/[3759] Speed: 78.570006 samples/sec accuracy=67.277917 loss=1.333770 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.687500 acc-top5=83.750000 Batch [0099]/[0303]: acc-top1=61.937500 acc-top5=83.515625 Batch [0149]/[0303]: acc-top1=62.645833 acc-top5=84.000000 Batch [0199]/[0303]: acc-top1=63.265625 acc-top5=84.437500 Batch [0249]/[0303]: acc-top1=63.250000 acc-top5=84.506250 Batch [0299]/[0303]: acc-top1=63.104167 acc-top5=84.411458 [Epoch 066] training: accuracy=67.284351 loss=1.333548 [Epoch 066] speed: 69 samples/sec time cost: 3752.497294 [Epoch 066] validation: acc-top1=63.077558 acc-top5=84.421411 loss=1.600982 Epoch[067] Batch [0049]/[3760] Speed: 47.317349 samples/sec accuracy=67.875000 loss=1.318365 lr=0.001000 Epoch[067] Batch [0099]/[3760] Speed: 69.557706 samples/sec accuracy=67.515625 loss=1.322251 lr=0.001000 Epoch[067] Batch [0149]/[3760] Speed: 69.066996 samples/sec accuracy=67.197917 loss=1.318128 lr=0.001000 Epoch[067] Batch [0199]/[3760] Speed: 69.984520 samples/sec accuracy=67.250000 loss=1.322309 lr=0.001000 Epoch[067] Batch [0249]/[3760] Speed: 69.629335 samples/sec accuracy=67.387500 loss=1.312700 lr=0.001000 Epoch[067] Batch [0299]/[3760] Speed: 70.342413 samples/sec accuracy=67.604167 loss=1.308787 lr=0.001000 Epoch[067] Batch [0349]/[3760] Speed: 68.858036 samples/sec accuracy=67.575893 loss=1.306207 lr=0.001000 Epoch[067] Batch [0399]/[3760] Speed: 70.300123 samples/sec accuracy=67.554688 loss=1.308674 lr=0.001000 Epoch[067] Batch [0449]/[3760] Speed: 68.238878 samples/sec 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[0049]/[0303]: acc-top1=62.125000 acc-top5=84.125000 Batch [0099]/[0303]: acc-top1=62.296875 acc-top5=83.906250 Batch [0149]/[0303]: acc-top1=62.843750 acc-top5=84.260417 Batch [0199]/[0303]: acc-top1=63.273437 acc-top5=84.664062 Batch [0249]/[0303]: acc-top1=63.375000 acc-top5=84.781250 Batch [0299]/[0303]: acc-top1=63.270833 acc-top5=84.645833 [Epoch 067] training: accuracy=67.299701 loss=1.329041 [Epoch 067] speed: 69 samples/sec time cost: 3757.454172 [Epoch 067] validation: acc-top1=63.237417 acc-top5=84.632838 loss=1.590874 Epoch[068] Batch [0049]/[3760] Speed: 48.188031 samples/sec accuracy=66.968750 loss=1.335373 lr=0.001000 Epoch[068] Batch [0099]/[3760] Speed: 69.733138 samples/sec accuracy=67.265625 loss=1.319478 lr=0.001000 Epoch[068] Batch [0149]/[3760] Speed: 69.570121 samples/sec accuracy=67.770833 loss=1.303633 lr=0.001000 Epoch[068] Batch [0199]/[3760] Speed: 68.537191 samples/sec accuracy=67.914062 loss=1.308065 lr=0.001000 Epoch[068] Batch [0249]/[3760] Speed: 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lr=0.001000 Epoch[068] Batch [3599]/[3760] Speed: 70.031143 samples/sec accuracy=67.414931 loss=1.328324 lr=0.001000 Epoch[068] Batch [3649]/[3760] Speed: 70.329853 samples/sec accuracy=67.413099 loss=1.328633 lr=0.001000 Epoch[068] Batch [3699]/[3760] Speed: 68.862101 samples/sec accuracy=67.416807 loss=1.328890 lr=0.001000 Epoch[068] Batch [3749]/[3760] Speed: 76.894968 samples/sec accuracy=67.411667 loss=1.329374 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.812500 acc-top5=83.718750 Batch [0099]/[0303]: acc-top1=62.062500 acc-top5=83.562500 Batch [0149]/[0303]: acc-top1=62.864583 acc-top5=83.833333 Batch [0199]/[0303]: acc-top1=63.367188 acc-top5=84.343750 Batch [0249]/[0303]: acc-top1=63.587500 acc-top5=84.581250 Batch [0299]/[0303]: acc-top1=63.463542 acc-top5=84.473958 [Epoch 068] training: accuracy=67.418135 loss=1.328946 [Epoch 068] speed: 69 samples/sec time cost: 3753.957462 [Epoch 068] validation: acc-top1=63.454002 acc-top5=84.478135 loss=1.591362 Epoch[069] Batch 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accuracy=67.489272 loss=1.323494 lr=0.001000 Epoch[069] Batch [3399]/[3759] Speed: 70.277416 samples/sec accuracy=67.475643 loss=1.324056 lr=0.001000 Epoch[069] Batch [3449]/[3759] Speed: 69.154782 samples/sec accuracy=67.460145 loss=1.324441 lr=0.001000 Epoch[069] Batch [3499]/[3759] Speed: 70.717042 samples/sec accuracy=67.460268 loss=1.324694 lr=0.001000 Epoch[069] Batch [3549]/[3759] Speed: 68.998435 samples/sec accuracy=67.457306 loss=1.324603 lr=0.001000 Epoch[069] Batch [3599]/[3759] Speed: 69.298133 samples/sec accuracy=67.474392 loss=1.324250 lr=0.001000 Epoch[069] Batch [3649]/[3759] Speed: 70.537016 samples/sec accuracy=67.482021 loss=1.324170 lr=0.001000 Epoch[069] Batch [3699]/[3759] Speed: 70.610031 samples/sec accuracy=67.472128 loss=1.324196 lr=0.001000 Epoch[069] Batch [3749]/[3759] Speed: 78.317177 samples/sec accuracy=67.482917 loss=1.323257 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.562500 acc-top5=84.062500 Batch [0099]/[0303]: acc-top1=62.281250 acc-top5=83.953125 Batch [0149]/[0303]: acc-top1=63.072917 acc-top5=84.270833 Batch [0199]/[0303]: acc-top1=63.460938 acc-top5=84.679688 Batch [0249]/[0303]: acc-top1=63.537500 acc-top5=84.818750 Batch [0299]/[0303]: acc-top1=63.375000 acc-top5=84.614583 [Epoch 069] training: accuracy=67.478053 loss=1.323437 [Epoch 069] speed: 69 samples/sec time cost: 3747.660254 [Epoch 069] validation: acc-top1=63.366337 acc-top5=84.622525 loss=1.597813 Epoch[070] Batch [0049]/[3760] Speed: 48.005852 samples/sec accuracy=68.281250 loss=1.301850 lr=0.001000 Epoch[070] Batch [0099]/[3760] Speed: 67.525865 samples/sec accuracy=67.937500 loss=1.320866 lr=0.001000 Epoch[070] Batch [0149]/[3760] Speed: 69.926507 samples/sec accuracy=68.083333 loss=1.299006 lr=0.001000 Epoch[070] Batch [0199]/[3760] Speed: 69.497552 samples/sec accuracy=67.992188 loss=1.296795 lr=0.001000 Epoch[070] Batch [0249]/[3760] Speed: 70.789972 samples/sec accuracy=68.081250 loss=1.293506 lr=0.001000 Epoch[070] Batch [0299]/[3760] 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accuracy=67.863971 loss=1.310533 lr=0.001000 Epoch[070] Batch [1749]/[3760] Speed: 71.004998 samples/sec accuracy=67.895536 loss=1.309394 lr=0.001000 Epoch[070] Batch [1799]/[3760] Speed: 68.583187 samples/sec accuracy=67.898438 loss=1.309578 lr=0.001000 Epoch[070] Batch [1849]/[3760] Speed: 70.930108 samples/sec accuracy=67.884291 loss=1.309317 lr=0.001000 Epoch[070] Batch [1899]/[3760] Speed: 71.172435 samples/sec accuracy=67.870066 loss=1.309443 lr=0.001000 Epoch[070] Batch [1949]/[3760] Speed: 69.291167 samples/sec accuracy=67.858173 loss=1.310324 lr=0.001000 Epoch[070] Batch [1999]/[3760] Speed: 69.895058 samples/sec accuracy=67.817969 loss=1.311905 lr=0.001000 Epoch[070] Batch [2049]/[3760] Speed: 70.179272 samples/sec accuracy=67.814024 loss=1.311805 lr=0.001000 Epoch[070] Batch [2099]/[3760] Speed: 69.854770 samples/sec accuracy=67.787946 loss=1.312469 lr=0.001000 Epoch[070] Batch [2149]/[3760] Speed: 68.531593 samples/sec accuracy=67.771802 loss=1.312853 lr=0.001000 Epoch[070] 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accuracy=67.709906 loss=1.315830 lr=0.001000 Epoch[070] Batch [2699]/[3760] Speed: 67.466682 samples/sec accuracy=67.704861 loss=1.315331 lr=0.001000 Epoch[070] Batch [2749]/[3760] Speed: 71.328424 samples/sec accuracy=67.703409 loss=1.315292 lr=0.001000 Epoch[070] Batch [2799]/[3760] Speed: 70.304682 samples/sec accuracy=67.683594 loss=1.315962 lr=0.001000 Epoch[070] Batch [2849]/[3760] Speed: 68.837535 samples/sec accuracy=67.665022 loss=1.316384 lr=0.001000 Epoch[070] Batch [2899]/[3760] Speed: 70.618571 samples/sec accuracy=67.674569 loss=1.316212 lr=0.001000 Epoch[070] Batch [2949]/[3760] Speed: 71.484339 samples/sec accuracy=67.685381 loss=1.315553 lr=0.001000 Epoch[070] Batch [2999]/[3760] Speed: 68.994528 samples/sec accuracy=67.706771 loss=1.314685 lr=0.001000 Epoch[070] Batch [3049]/[3760] Speed: 68.736105 samples/sec accuracy=67.709529 loss=1.314515 lr=0.001000 Epoch[070] Batch [3099]/[3760] Speed: 70.091960 samples/sec accuracy=67.694052 loss=1.314939 lr=0.001000 Epoch[070] Batch [3149]/[3760] Speed: 68.394270 samples/sec accuracy=67.693948 loss=1.314970 lr=0.001000 Epoch[070] Batch [3199]/[3760] Speed: 70.060994 samples/sec accuracy=67.666992 loss=1.315928 lr=0.001000 Epoch[070] Batch [3249]/[3760] Speed: 69.910311 samples/sec accuracy=67.662019 loss=1.316139 lr=0.001000 Epoch[070] Batch [3299]/[3760] Speed: 69.851514 samples/sec accuracy=67.649621 loss=1.316527 lr=0.001000 Epoch[070] Batch [3349]/[3760] Speed: 69.811212 samples/sec accuracy=67.649254 loss=1.316339 lr=0.001000 Epoch[070] Batch [3399]/[3760] Speed: 70.423778 samples/sec accuracy=67.642463 loss=1.316489 lr=0.001000 Epoch[070] Batch [3449]/[3760] Speed: 70.267043 samples/sec accuracy=67.627264 loss=1.316962 lr=0.001000 Epoch[070] Batch [3499]/[3760] Speed: 68.325348 samples/sec accuracy=67.628125 loss=1.316357 lr=0.001000 Epoch[070] Batch [3549]/[3760] Speed: 71.621775 samples/sec accuracy=67.615317 loss=1.316777 lr=0.001000 Epoch[070] Batch [3599]/[3760] Speed: 68.640965 samples/sec accuracy=67.622396 loss=1.316919 lr=0.001000 Epoch[070] Batch [3649]/[3760] Speed: 67.372347 samples/sec accuracy=67.632705 loss=1.316784 lr=0.001000 Epoch[070] Batch [3699]/[3760] Speed: 70.788873 samples/sec accuracy=67.631334 loss=1.316589 lr=0.001000 Epoch[070] Batch [3749]/[3760] Speed: 78.642843 samples/sec accuracy=67.632917 loss=1.316651 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.375000 acc-top5=83.343750 Batch [0099]/[0303]: acc-top1=61.687500 acc-top5=83.453125 Batch [0149]/[0303]: acc-top1=62.656250 acc-top5=84.104167 Batch [0199]/[0303]: acc-top1=63.093750 acc-top5=84.562500 Batch [0249]/[0303]: acc-top1=63.350000 acc-top5=84.718750 Batch [0299]/[0303]: acc-top1=63.130208 acc-top5=84.546875 [Epoch 070] training: accuracy=67.637550 loss=1.316441 [Epoch 070] speed: 69 samples/sec time cost: 3751.204193 [Epoch 070] validation: acc-top1=63.108498 acc-top5=84.550330 loss=1.604785 Epoch[071] Batch [0049]/[3760] Speed: 47.750890 samples/sec accuracy=66.687500 loss=1.327222 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lr=0.001000 Epoch[071] Batch [2949]/[3760] Speed: 68.904477 samples/sec accuracy=67.740466 loss=1.312341 lr=0.001000 Epoch[071] Batch [2999]/[3760] Speed: 68.133002 samples/sec accuracy=67.728125 loss=1.313074 lr=0.001000 Epoch[071] Batch [3049]/[3760] Speed: 69.503956 samples/sec accuracy=67.732070 loss=1.313027 lr=0.001000 Epoch[071] Batch [3099]/[3760] Speed: 70.068172 samples/sec accuracy=67.732863 loss=1.312779 lr=0.001000 Epoch[071] Batch [3149]/[3760] Speed: 66.718240 samples/sec accuracy=67.749008 loss=1.312211 lr=0.001000 Epoch[071] Batch [3199]/[3760] Speed: 69.053046 samples/sec accuracy=67.751465 loss=1.312257 lr=0.001000 Epoch[071] Batch [3249]/[3760] Speed: 68.401048 samples/sec accuracy=67.734615 loss=1.312313 lr=0.001000 Epoch[071] Batch [3299]/[3760] Speed: 73.121424 samples/sec accuracy=67.745739 loss=1.312103 lr=0.001000 Epoch[071] Batch [3349]/[3760] Speed: 69.284709 samples/sec accuracy=67.740205 loss=1.312014 lr=0.001000 Epoch[071] Batch [3399]/[3760] Speed: 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acc-top1=63.015625 acc-top5=84.187500 Batch [0249]/[0303]: acc-top1=63.318750 acc-top5=84.493750 Batch [0299]/[0303]: acc-top1=63.161458 acc-top5=84.369792 [Epoch 071] training: accuracy=67.709857 loss=1.312624 [Epoch 071] speed: 69 samples/sec time cost: 3757.031750 [Epoch 071] validation: acc-top1=63.154909 acc-top5=84.385314 loss=1.597955 Epoch[072] Batch [0049]/[3759] Speed: 47.908618 samples/sec accuracy=67.187500 loss=1.323206 lr=0.001000 Epoch[072] Batch [0099]/[3759] Speed: 69.854707 samples/sec accuracy=67.140625 loss=1.326267 lr=0.001000 Epoch[072] Batch [0149]/[3759] Speed: 68.607822 samples/sec accuracy=67.031250 loss=1.328886 lr=0.001000 Epoch[072] Batch [0199]/[3759] Speed: 69.664143 samples/sec accuracy=67.015625 loss=1.342142 lr=0.001000 Epoch[072] Batch [0249]/[3759] Speed: 70.300264 samples/sec accuracy=67.375000 loss=1.330356 lr=0.001000 Epoch[072] Batch [0299]/[3759] Speed: 69.269450 samples/sec accuracy=67.593750 loss=1.321742 lr=0.001000 Epoch[072] Batch 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accuracy=67.615741 loss=1.319077 lr=0.001000 Epoch[072] Batch [2749]/[3759] Speed: 70.643391 samples/sec accuracy=67.621023 loss=1.318708 lr=0.001000 Epoch[072] Batch [2799]/[3759] Speed: 69.821142 samples/sec accuracy=67.647321 loss=1.318551 lr=0.001000 Epoch[072] Batch [2849]/[3759] Speed: 69.688908 samples/sec accuracy=67.678180 loss=1.317259 lr=0.001000 Epoch[072] Batch [2899]/[3759] Speed: 68.107760 samples/sec accuracy=67.682651 loss=1.316859 lr=0.001000 Epoch[072] Batch [2949]/[3759] Speed: 70.656731 samples/sec accuracy=67.685381 loss=1.316121 lr=0.001000 Epoch[072] Batch [2999]/[3759] Speed: 70.425219 samples/sec accuracy=67.683854 loss=1.316289 lr=0.001000 Epoch[072] Batch [3049]/[3759] Speed: 69.921582 samples/sec accuracy=67.689549 loss=1.315455 lr=0.001000 Epoch[072] Batch [3099]/[3759] Speed: 68.595014 samples/sec accuracy=67.707157 loss=1.314658 lr=0.001000 Epoch[072] Batch [3149]/[3759] Speed: 69.611114 samples/sec accuracy=67.686508 loss=1.315300 lr=0.001000 Epoch[072] 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accuracy=67.688784 loss=1.313861 lr=0.001000 Epoch[072] Batch [3699]/[3759] Speed: 69.452913 samples/sec accuracy=67.686655 loss=1.313716 lr=0.001000 Epoch[072] Batch [3749]/[3759] Speed: 77.041044 samples/sec accuracy=67.691667 loss=1.313462 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.812500 acc-top5=83.562500 Batch [0099]/[0303]: acc-top1=62.062500 acc-top5=83.421875 Batch [0149]/[0303]: acc-top1=62.833333 acc-top5=83.885417 Batch [0199]/[0303]: acc-top1=63.109375 acc-top5=84.320312 Batch [0249]/[0303]: acc-top1=63.368750 acc-top5=84.562500 Batch [0299]/[0303]: acc-top1=63.255208 acc-top5=84.432292 [Epoch 072] training: accuracy=67.688381 loss=1.313476 [Epoch 072] speed: 69 samples/sec time cost: 3747.749931 [Epoch 072] validation: acc-top1=63.242574 acc-top5=84.447195 loss=1.598622 Epoch[073] Batch [0049]/[3760] Speed: 48.659017 samples/sec accuracy=68.281250 loss=1.258486 lr=0.001000 Epoch[073] Batch [0099]/[3760] Speed: 66.271766 samples/sec accuracy=68.578125 loss=1.253000 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lr=0.001000 Epoch[073] Batch [2999]/[3760] Speed: 69.044528 samples/sec accuracy=67.867708 loss=1.302842 lr=0.001000 Epoch[073] Batch [3049]/[3760] Speed: 70.158195 samples/sec accuracy=67.855020 loss=1.303627 lr=0.001000 Epoch[073] Batch [3099]/[3760] Speed: 70.128212 samples/sec accuracy=67.869456 loss=1.303622 lr=0.001000 Epoch[073] Batch [3149]/[3760] Speed: 70.095022 samples/sec accuracy=67.861111 loss=1.303658 lr=0.001000 Epoch[073] Batch [3199]/[3760] Speed: 69.042898 samples/sec accuracy=67.868164 loss=1.303572 lr=0.001000 Epoch[073] Batch [3249]/[3760] Speed: 69.913020 samples/sec accuracy=67.864904 loss=1.304259 lr=0.001000 Epoch[073] Batch [3299]/[3760] Speed: 70.107456 samples/sec accuracy=67.842803 loss=1.305135 lr=0.001000 Epoch[073] Batch [3349]/[3760] Speed: 69.358598 samples/sec accuracy=67.806903 loss=1.306331 lr=0.001000 Epoch[073] Batch [3399]/[3760] Speed: 66.733903 samples/sec accuracy=67.812500 loss=1.306011 lr=0.001000 Epoch[073] Batch [3449]/[3760] Speed: 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[0299]/[0303]: acc-top1=63.197917 acc-top5=84.546875 [Epoch 073] training: accuracy=67.785904 loss=1.306474 [Epoch 073] speed: 69 samples/sec time cost: 3752.810707 [Epoch 073] validation: acc-top1=63.154909 acc-top5=84.550330 loss=1.595929 Epoch[074] Batch [0049]/[3760] Speed: 48.783881 samples/sec accuracy=68.218750 loss=1.315880 lr=0.001000 Epoch[074] Batch [0099]/[3760] Speed: 67.904105 samples/sec accuracy=68.234375 loss=1.314083 lr=0.001000 Epoch[074] Batch [0149]/[3760] Speed: 70.226196 samples/sec accuracy=68.010417 loss=1.318570 lr=0.001000 Epoch[074] Batch [0199]/[3760] Speed: 70.576642 samples/sec accuracy=68.414062 loss=1.298204 lr=0.001000 Epoch[074] Batch [0249]/[3760] Speed: 68.911156 samples/sec accuracy=68.225000 loss=1.305097 lr=0.001000 Epoch[074] Batch [0299]/[3760] Speed: 70.338711 samples/sec accuracy=68.296875 loss=1.299990 lr=0.001000 Epoch[074] Batch [0349]/[3760] Speed: 69.508960 samples/sec accuracy=68.089286 loss=1.302980 lr=0.001000 Epoch[074] Batch 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accuracy=67.926471 loss=1.304833 lr=0.001000 Epoch[074] Batch [0899]/[3760] Speed: 66.852284 samples/sec accuracy=67.921875 loss=1.304217 lr=0.001000 Epoch[074] Batch [0949]/[3760] Speed: 71.607961 samples/sec accuracy=67.955592 loss=1.302192 lr=0.001000 Epoch[074] Batch [0999]/[3760] Speed: 70.903955 samples/sec accuracy=67.939063 loss=1.302368 lr=0.001000 Epoch[074] Batch [1049]/[3760] Speed: 69.677368 samples/sec accuracy=67.944940 loss=1.299349 lr=0.001000 Epoch[074] Batch [1099]/[3760] Speed: 69.392379 samples/sec accuracy=67.941761 loss=1.298304 lr=0.001000 Epoch[074] Batch [1149]/[3760] Speed: 68.652237 samples/sec accuracy=67.902174 loss=1.298808 lr=0.001000 Epoch[074] Batch [1199]/[3760] Speed: 69.172380 samples/sec accuracy=67.897135 loss=1.299326 lr=0.001000 Epoch[074] Batch [1249]/[3760] Speed: 70.995457 samples/sec accuracy=67.892500 loss=1.298975 lr=0.001000 Epoch[074] Batch [1299]/[3760] Speed: 70.349575 samples/sec accuracy=67.923077 loss=1.298042 lr=0.001000 Epoch[074] 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accuracy=67.930556 loss=1.301670 lr=0.001000 Epoch[074] Batch [1849]/[3760] Speed: 70.739005 samples/sec accuracy=67.905405 loss=1.302404 lr=0.001000 Epoch[074] Batch [1899]/[3760] Speed: 69.250019 samples/sec accuracy=67.944079 loss=1.300625 lr=0.001000 Epoch[074] Batch [1949]/[3760] Speed: 69.683282 samples/sec accuracy=67.947917 loss=1.300494 lr=0.001000 Epoch[074] Batch [1999]/[3760] Speed: 68.135594 samples/sec accuracy=67.923437 loss=1.300666 lr=0.001000 Epoch[074] Batch [2049]/[3760] Speed: 71.363561 samples/sec accuracy=67.923018 loss=1.300535 lr=0.001000 Epoch[074] Batch [2099]/[3760] Speed: 67.263666 samples/sec accuracy=67.928571 loss=1.299932 lr=0.001000 Epoch[074] Batch [2149]/[3760] Speed: 69.589846 samples/sec accuracy=67.899709 loss=1.300897 lr=0.001000 Epoch[074] Batch [2199]/[3760] Speed: 72.115356 samples/sec accuracy=67.906250 loss=1.301149 lr=0.001000 Epoch[074] Batch [2249]/[3760] Speed: 69.134662 samples/sec accuracy=67.895139 loss=1.301470 lr=0.001000 Epoch[074] 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accuracy=67.855114 loss=1.303221 lr=0.001000 Epoch[074] Batch [2799]/[3760] Speed: 68.276741 samples/sec accuracy=67.885045 loss=1.301943 lr=0.001000 Epoch[074] Batch [2849]/[3760] Speed: 70.765842 samples/sec accuracy=67.885965 loss=1.301889 lr=0.001000 Epoch[074] Batch [2899]/[3760] Speed: 69.546977 samples/sec accuracy=67.875539 loss=1.302691 lr=0.001000 Epoch[074] Batch [2949]/[3760] Speed: 69.346848 samples/sec accuracy=67.884004 loss=1.302599 lr=0.001000 Epoch[074] Batch [2999]/[3760] Speed: 69.565032 samples/sec accuracy=67.904167 loss=1.302049 lr=0.001000 Epoch[074] Batch [3049]/[3760] Speed: 69.983074 samples/sec accuracy=67.920594 loss=1.301390 lr=0.001000 Epoch[074] Batch [3099]/[3760] Speed: 68.333903 samples/sec accuracy=67.919859 loss=1.301096 lr=0.001000 Epoch[074] Batch [3149]/[3760] Speed: 71.454507 samples/sec accuracy=67.909722 loss=1.301360 lr=0.001000 Epoch[074] Batch [3199]/[3760] Speed: 68.903847 samples/sec accuracy=67.923828 loss=1.301133 lr=0.001000 Epoch[074] Batch [3249]/[3760] Speed: 69.322006 samples/sec accuracy=67.933173 loss=1.300434 lr=0.001000 Epoch[074] Batch [3299]/[3760] Speed: 69.683574 samples/sec accuracy=67.915246 loss=1.300765 lr=0.001000 Epoch[074] Batch [3349]/[3760] Speed: 70.634355 samples/sec accuracy=67.922108 loss=1.301069 lr=0.001000 Epoch[074] Batch [3399]/[3760] Speed: 68.382644 samples/sec accuracy=67.905331 loss=1.301774 lr=0.001000 Epoch[074] Batch [3449]/[3760] Speed: 69.560990 samples/sec accuracy=67.888587 loss=1.302568 lr=0.001000 Epoch[074] Batch [3499]/[3760] Speed: 68.459884 samples/sec accuracy=67.903571 loss=1.302180 lr=0.001000 Epoch[074] Batch [3549]/[3760] Speed: 69.403139 samples/sec accuracy=67.906690 loss=1.302316 lr=0.001000 Epoch[074] Batch [3599]/[3760] Speed: 68.995265 samples/sec accuracy=67.915799 loss=1.301790 lr=0.001000 Epoch[074] Batch [3649]/[3760] Speed: 67.781350 samples/sec accuracy=67.898545 loss=1.301785 lr=0.001000 Epoch[074] Batch [3699]/[3760] Speed: 72.590455 samples/sec accuracy=67.891047 loss=1.302340 lr=0.001000 Epoch[074] Batch [3749]/[3760] Speed: 76.959440 samples/sec accuracy=67.890000 loss=1.302651 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.875000 acc-top5=83.125000 Batch [0099]/[0303]: acc-top1=61.953125 acc-top5=83.312500 Batch [0149]/[0303]: acc-top1=63.114583 acc-top5=83.791667 Batch [0199]/[0303]: acc-top1=63.562500 acc-top5=84.257812 Batch [0249]/[0303]: acc-top1=63.768750 acc-top5=84.493750 Batch [0299]/[0303]: acc-top1=63.656250 acc-top5=84.380208 [Epoch 074] training: accuracy=67.885223 loss=1.302734 [Epoch 074] speed: 69 samples/sec time cost: 3754.857901 [Epoch 074] validation: acc-top1=63.634488 acc-top5=84.390470 loss=1.596705 Epoch[075] Batch [0049]/[3759] Speed: 48.882557 samples/sec accuracy=69.218750 loss=1.252457 lr=0.001000 Epoch[075] Batch [0099]/[3759] Speed: 67.523694 samples/sec accuracy=68.000000 loss=1.278513 lr=0.001000 Epoch[075] Batch [0149]/[3759] Speed: 70.147160 samples/sec accuracy=67.927083 loss=1.286197 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lr=0.001000 Epoch[075] Batch [3049]/[3759] Speed: 70.163304 samples/sec accuracy=68.013832 loss=1.297043 lr=0.001000 Epoch[075] Batch [3099]/[3759] Speed: 69.574719 samples/sec accuracy=67.986391 loss=1.297842 lr=0.001000 Epoch[075] Batch [3149]/[3759] Speed: 71.132250 samples/sec accuracy=67.980655 loss=1.298439 lr=0.001000 Epoch[075] Batch [3199]/[3759] Speed: 68.430922 samples/sec accuracy=67.979980 loss=1.298560 lr=0.001000 Epoch[075] Batch [3249]/[3759] Speed: 69.954319 samples/sec accuracy=67.996154 loss=1.298023 lr=0.001000 Epoch[075] Batch [3299]/[3759] Speed: 70.882402 samples/sec accuracy=67.997633 loss=1.297650 lr=0.001000 Epoch[075] Batch [3349]/[3759] Speed: 68.904372 samples/sec accuracy=67.974813 loss=1.298426 lr=0.001000 Epoch[075] Batch [3399]/[3759] Speed: 70.429144 samples/sec accuracy=67.956801 loss=1.299542 lr=0.001000 Epoch[075] Batch [3449]/[3759] Speed: 68.905698 samples/sec accuracy=67.955616 loss=1.299306 lr=0.001000 Epoch[075] Batch [3499]/[3759] Speed: 69.457716 samples/sec accuracy=67.943304 loss=1.299575 lr=0.001000 Epoch[075] Batch [3549]/[3759] Speed: 68.487104 samples/sec accuracy=67.921215 loss=1.300245 lr=0.001000 Epoch[075] Batch [3599]/[3759] Speed: 71.084816 samples/sec accuracy=67.901910 loss=1.301163 lr=0.001000 Epoch[075] Batch [3649]/[3759] Speed: 67.179426 samples/sec accuracy=67.918664 loss=1.300704 lr=0.001000 Epoch[075] Batch [3699]/[3759] Speed: 71.309280 samples/sec accuracy=67.935389 loss=1.300456 lr=0.001000 Epoch[075] Batch [3749]/[3759] Speed: 77.052079 samples/sec accuracy=67.920833 loss=1.300853 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.625000 acc-top5=83.500000 Batch [0099]/[0303]: acc-top1=62.625000 acc-top5=83.546875 Batch [0149]/[0303]: acc-top1=63.677083 acc-top5=84.052083 Batch [0199]/[0303]: acc-top1=64.015625 acc-top5=84.468750 Batch [0249]/[0303]: acc-top1=64.081250 acc-top5=84.643750 Batch [0299]/[0303]: acc-top1=63.692708 acc-top5=84.557292 [Epoch 075] training: accuracy=67.917831 loss=1.300834 [Epoch 075] speed: 69 samples/sec time cost: 3746.972473 [Epoch 075] validation: acc-top1=63.665429 acc-top5=84.570957 loss=1.585557 Epoch[076] Batch [0049]/[3760] Speed: 47.318829 samples/sec accuracy=69.218750 loss=1.277848 lr=0.001000 Epoch[076] Batch [0099]/[3760] Speed: 70.662460 samples/sec accuracy=68.671875 loss=1.276659 lr=0.001000 Epoch[076] Batch [0149]/[3760] Speed: 68.395176 samples/sec accuracy=68.572917 loss=1.276267 lr=0.001000 Epoch[076] Batch [0199]/[3760] Speed: 69.688918 samples/sec accuracy=68.648438 loss=1.275857 lr=0.001000 Epoch[076] Batch [0249]/[3760] Speed: 70.779151 samples/sec accuracy=68.481250 loss=1.286467 lr=0.001000 Epoch[076] Batch [0299]/[3760] Speed: 69.782398 samples/sec accuracy=68.671875 loss=1.282575 lr=0.001000 Epoch[076] Batch [0349]/[3760] Speed: 69.346879 samples/sec accuracy=68.593750 loss=1.285045 lr=0.001000 Epoch[076] Batch [0399]/[3760] Speed: 70.925068 samples/sec accuracy=68.453125 loss=1.287162 lr=0.001000 Epoch[076] Batch 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accuracy=68.380208 loss=1.285256 lr=0.001000 Epoch[076] Batch [0949]/[3760] Speed: 69.751496 samples/sec accuracy=68.435855 loss=1.283461 lr=0.001000 Epoch[076] Batch [0999]/[3760] Speed: 71.276035 samples/sec accuracy=68.450000 loss=1.283951 lr=0.001000 Epoch[076] Batch [1049]/[3760] Speed: 68.722389 samples/sec accuracy=68.389881 loss=1.286735 lr=0.001000 Epoch[076] Batch [1099]/[3760] Speed: 69.387982 samples/sec accuracy=68.382102 loss=1.286475 lr=0.001000 Epoch[076] Batch [1149]/[3760] Speed: 69.705236 samples/sec accuracy=68.432065 loss=1.284337 lr=0.001000 Epoch[076] Batch [1199]/[3760] Speed: 70.626543 samples/sec accuracy=68.425781 loss=1.284755 lr=0.001000 Epoch[076] Batch [1249]/[3760] Speed: 70.796785 samples/sec accuracy=68.372500 loss=1.286057 lr=0.001000 Epoch[076] Batch [1299]/[3760] Speed: 68.533163 samples/sec accuracy=68.320913 loss=1.287781 lr=0.001000 Epoch[076] Batch [1349]/[3760] Speed: 65.610889 samples/sec accuracy=68.363426 loss=1.286309 lr=0.001000 Epoch[076] 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accuracy=68.362331 loss=1.287752 lr=0.001000 Epoch[076] Batch [1899]/[3760] Speed: 69.138586 samples/sec accuracy=68.347039 loss=1.287769 lr=0.001000 Epoch[076] Batch [1949]/[3760] Speed: 69.765595 samples/sec accuracy=68.325321 loss=1.287314 lr=0.001000 Epoch[076] Batch [1999]/[3760] Speed: 70.216035 samples/sec accuracy=68.371875 loss=1.287008 lr=0.001000 Epoch[076] Batch [2049]/[3760] Speed: 69.739316 samples/sec accuracy=68.358994 loss=1.287584 lr=0.001000 Epoch[076] Batch [2099]/[3760] Speed: 69.342601 samples/sec accuracy=68.354911 loss=1.287883 lr=0.001000 Epoch[076] Batch [2149]/[3760] Speed: 70.162573 samples/sec accuracy=68.359012 loss=1.288376 lr=0.001000 Epoch[076] Batch [2199]/[3760] Speed: 69.730361 samples/sec accuracy=68.357244 loss=1.288081 lr=0.001000 Epoch[076] Batch [2249]/[3760] Speed: 70.615519 samples/sec accuracy=68.355556 loss=1.288023 lr=0.001000 Epoch[076] Batch [2299]/[3760] Speed: 69.448229 samples/sec accuracy=68.324728 loss=1.288905 lr=0.001000 Epoch[076] 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accuracy=68.187500 loss=1.291413 lr=0.001000 Epoch[076] Batch [2849]/[3760] Speed: 71.082648 samples/sec accuracy=68.171601 loss=1.291959 lr=0.001000 Epoch[076] Batch [2899]/[3760] Speed: 68.521410 samples/sec accuracy=68.179418 loss=1.291828 lr=0.001000 Epoch[076] Batch [2949]/[3760] Speed: 70.793674 samples/sec accuracy=68.181674 loss=1.291401 lr=0.001000 Epoch[076] Batch [2999]/[3760] Speed: 69.811796 samples/sec accuracy=68.155729 loss=1.292782 lr=0.001000 Epoch[076] Batch [3049]/[3760] Speed: 69.618700 samples/sec accuracy=68.150615 loss=1.293251 lr=0.001000 Epoch[076] Batch [3099]/[3760] Speed: 69.182954 samples/sec accuracy=68.136593 loss=1.293163 lr=0.001000 Epoch[076] Batch [3149]/[3760] Speed: 70.551587 samples/sec accuracy=68.121032 loss=1.293158 lr=0.001000 Epoch[076] Batch [3199]/[3760] Speed: 70.105648 samples/sec accuracy=68.129395 loss=1.292898 lr=0.001000 Epoch[076] Batch [3249]/[3760] Speed: 69.165967 samples/sec accuracy=68.135577 loss=1.292886 lr=0.001000 Epoch[076] Batch [3299]/[3760] Speed: 69.116440 samples/sec accuracy=68.144886 loss=1.292093 lr=0.001000 Epoch[076] Batch [3349]/[3760] Speed: 70.598481 samples/sec accuracy=68.149720 loss=1.291881 lr=0.001000 Epoch[076] Batch [3399]/[3760] Speed: 69.971994 samples/sec accuracy=68.127757 loss=1.292889 lr=0.001000 Epoch[076] Batch [3449]/[3760] Speed: 67.941655 samples/sec accuracy=68.134964 loss=1.292996 lr=0.001000 Epoch[076] Batch [3499]/[3760] Speed: 71.219806 samples/sec accuracy=68.170982 loss=1.292184 lr=0.001000 Epoch[076] Batch [3549]/[3760] Speed: 69.443947 samples/sec accuracy=68.166373 loss=1.292243 lr=0.001000 Epoch[076] Batch [3599]/[3760] Speed: 69.608427 samples/sec accuracy=68.162326 loss=1.293125 lr=0.001000 Epoch[076] Batch [3649]/[3760] Speed: 68.332310 samples/sec accuracy=68.158390 loss=1.293345 lr=0.001000 Epoch[076] Batch [3699]/[3760] Speed: 71.368534 samples/sec accuracy=68.152872 loss=1.293723 lr=0.001000 Epoch[076] Batch [3749]/[3760] Speed: 75.870365 samples/sec accuracy=68.155833 loss=1.293944 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.218750 acc-top5=83.656250 Batch [0099]/[0303]: acc-top1=62.046875 acc-top5=83.515625 Batch [0149]/[0303]: acc-top1=62.958333 acc-top5=83.864583 Batch [0199]/[0303]: acc-top1=63.445312 acc-top5=84.320312 Batch [0249]/[0303]: acc-top1=63.643750 acc-top5=84.593750 Batch [0299]/[0303]: acc-top1=63.406250 acc-top5=84.526042 [Epoch 076] training: accuracy=68.150349 loss=1.294015 [Epoch 076] speed: 69 samples/sec time cost: 3754.415083 [Epoch 076] validation: acc-top1=63.371493 acc-top5=84.540017 loss=1.605317 Epoch[077] Batch [0049]/[3760] Speed: 48.349116 samples/sec accuracy=70.031250 loss=1.187950 lr=0.001000 Epoch[077] Batch [0099]/[3760] Speed: 68.606653 samples/sec accuracy=69.343750 loss=1.231368 lr=0.001000 Epoch[077] Batch [0149]/[3760] Speed: 68.367034 samples/sec accuracy=68.875000 loss=1.250620 lr=0.001000 Epoch[077] Batch [0199]/[3760] Speed: 70.267909 samples/sec accuracy=68.750000 loss=1.263162 lr=0.001000 Epoch[077] Batch [0249]/[3760] Speed: 68.212146 samples/sec accuracy=68.543750 loss=1.268039 lr=0.001000 Epoch[077] Batch [0299]/[3760] Speed: 71.689204 samples/sec accuracy=68.468750 loss=1.268510 lr=0.001000 Epoch[077] Batch [0349]/[3760] Speed: 70.179023 samples/sec accuracy=68.397321 loss=1.274068 lr=0.001000 Epoch[077] Batch [0399]/[3760] Speed: 68.887786 samples/sec accuracy=68.656250 loss=1.266021 lr=0.001000 Epoch[077] Batch [0449]/[3760] Speed: 70.008440 samples/sec accuracy=68.440972 loss=1.275423 lr=0.001000 Epoch[077] Batch [0499]/[3760] Speed: 69.432165 samples/sec accuracy=68.528125 loss=1.273764 lr=0.001000 Epoch[077] Batch [0549]/[3760] Speed: 68.127106 samples/sec accuracy=68.386364 loss=1.279948 lr=0.001000 Epoch[077] Batch [0599]/[3760] Speed: 70.568218 samples/sec accuracy=68.291667 loss=1.281907 lr=0.001000 Epoch[077] Batch [0649]/[3760] Speed: 66.313268 samples/sec accuracy=68.295673 loss=1.280491 lr=0.001000 Epoch[077] Batch [0699]/[3760] Speed: 73.834819 samples/sec accuracy=68.265625 loss=1.282324 lr=0.001000 Epoch[077] Batch [0749]/[3760] Speed: 68.419121 samples/sec accuracy=68.227083 loss=1.283496 lr=0.001000 Epoch[077] Batch [0799]/[3760] Speed: 70.199665 samples/sec accuracy=68.291016 loss=1.283187 lr=0.001000 Epoch[077] Batch [0849]/[3760] Speed: 69.877913 samples/sec accuracy=68.354779 loss=1.282331 lr=0.001000 Epoch[077] Batch [0899]/[3760] Speed: 69.489767 samples/sec accuracy=68.319444 loss=1.283400 lr=0.001000 Epoch[077] Batch [0949]/[3760] Speed: 70.612473 samples/sec accuracy=68.315789 loss=1.283885 lr=0.001000 Epoch[077] Batch [0999]/[3760] Speed: 69.205525 samples/sec accuracy=68.278125 loss=1.284800 lr=0.001000 Epoch[077] Batch [1049]/[3760] Speed: 70.724624 samples/sec accuracy=68.226190 loss=1.286769 lr=0.001000 Epoch[077] Batch [1099]/[3760] Speed: 68.414525 samples/sec accuracy=68.221591 loss=1.285963 lr=0.001000 Epoch[077] Batch [1149]/[3760] Speed: 70.295846 samples/sec accuracy=68.305707 loss=1.284279 lr=0.001000 Epoch[077] Batch [1199]/[3760] Speed: 70.247924 samples/sec accuracy=68.285156 loss=1.283393 lr=0.001000 Epoch[077] Batch [1249]/[3760] Speed: 69.680937 samples/sec accuracy=68.232500 loss=1.284512 lr=0.001000 Epoch[077] Batch [1299]/[3760] Speed: 70.337254 samples/sec accuracy=68.217548 loss=1.285610 lr=0.001000 Epoch[077] Batch [1349]/[3760] Speed: 68.848493 samples/sec accuracy=68.163194 loss=1.287761 lr=0.001000 Epoch[077] Batch [1399]/[3760] Speed: 69.737038 samples/sec accuracy=68.175223 loss=1.288701 lr=0.001000 Epoch[077] Batch [1449]/[3760] Speed: 70.423870 samples/sec accuracy=68.191810 loss=1.289426 lr=0.001000 Epoch[077] Batch [1499]/[3760] Speed: 70.819604 samples/sec accuracy=68.193750 loss=1.288817 lr=0.001000 Epoch[077] Batch [1549]/[3760] Speed: 68.556360 samples/sec accuracy=68.190524 loss=1.289179 lr=0.001000 Epoch[077] Batch [1599]/[3760] Speed: 69.381618 samples/sec accuracy=68.179688 loss=1.288432 lr=0.001000 Epoch[077] Batch [1649]/[3760] Speed: 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lr=0.001000 Epoch[077] Batch [2149]/[3760] Speed: 71.486115 samples/sec accuracy=68.259448 loss=1.288058 lr=0.001000 Epoch[077] Batch [2199]/[3760] Speed: 69.888799 samples/sec accuracy=68.265625 loss=1.287870 lr=0.001000 Epoch[077] Batch [2249]/[3760] Speed: 66.070412 samples/sec accuracy=68.281250 loss=1.287049 lr=0.001000 Epoch[077] Batch [2299]/[3760] Speed: 73.471718 samples/sec accuracy=68.273777 loss=1.287158 lr=0.001000 Epoch[077] Batch [2349]/[3760] Speed: 69.237299 samples/sec accuracy=68.265293 loss=1.287447 lr=0.001000 Epoch[077] Batch [2399]/[3760] Speed: 70.414358 samples/sec accuracy=68.253255 loss=1.287846 lr=0.001000 Epoch[077] Batch [2449]/[3760] Speed: 68.418992 samples/sec accuracy=68.214923 loss=1.289645 lr=0.001000 Epoch[077] Batch [2499]/[3760] Speed: 70.196878 samples/sec accuracy=68.181250 loss=1.290762 lr=0.001000 Epoch[077] Batch [2549]/[3760] Speed: 69.946869 samples/sec accuracy=68.181373 loss=1.290242 lr=0.001000 Epoch[077] Batch [2599]/[3760] Speed: 69.156625 samples/sec accuracy=68.184495 loss=1.290473 lr=0.001000 Epoch[077] Batch [2649]/[3760] Speed: 70.366041 samples/sec accuracy=68.166863 loss=1.291128 lr=0.001000 Epoch[077] Batch [2699]/[3760] Speed: 69.290298 samples/sec accuracy=68.166088 loss=1.291054 lr=0.001000 Epoch[077] Batch [2749]/[3760] Speed: 68.942523 samples/sec accuracy=68.161932 loss=1.291474 lr=0.001000 Epoch[077] Batch [2799]/[3760] Speed: 68.708647 samples/sec accuracy=68.137835 loss=1.291862 lr=0.001000 Epoch[077] Batch [2849]/[3760] Speed: 71.362983 samples/sec accuracy=68.114583 loss=1.292697 lr=0.001000 Epoch[077] Batch [2899]/[3760] Speed: 69.974316 samples/sec accuracy=68.077586 loss=1.294203 lr=0.001000 Epoch[077] Batch [2949]/[3760] Speed: 70.142521 samples/sec accuracy=68.101695 loss=1.293772 lr=0.001000 Epoch[077] Batch [2999]/[3760] Speed: 69.412188 samples/sec accuracy=68.095313 loss=1.293940 lr=0.001000 Epoch[077] Batch [3049]/[3760] Speed: 70.460775 samples/sec accuracy=68.096824 loss=1.293269 lr=0.001000 Epoch[077] Batch [3099]/[3760] Speed: 67.884060 samples/sec accuracy=68.104335 loss=1.292616 lr=0.001000 Epoch[077] Batch [3149]/[3760] Speed: 70.826159 samples/sec accuracy=68.104167 loss=1.293080 lr=0.001000 Epoch[077] Batch [3199]/[3760] Speed: 69.506031 samples/sec accuracy=68.084961 loss=1.294053 lr=0.001000 Epoch[077] Batch [3249]/[3760] Speed: 69.096645 samples/sec accuracy=68.096154 loss=1.294114 lr=0.001000 Epoch[077] Batch [3299]/[3760] Speed: 69.834391 samples/sec accuracy=68.088068 loss=1.294411 lr=0.001000 Epoch[077] Batch [3349]/[3760] Speed: 68.303592 samples/sec accuracy=68.086287 loss=1.294818 lr=0.001000 Epoch[077] Batch [3399]/[3760] Speed: 70.812290 samples/sec accuracy=68.094669 loss=1.294115 lr=0.001000 Epoch[077] Batch [3449]/[3760] Speed: 70.756220 samples/sec accuracy=68.100091 loss=1.294494 lr=0.001000 Epoch[077] Batch [3499]/[3760] Speed: 69.280877 samples/sec accuracy=68.079464 loss=1.295283 lr=0.001000 Epoch[077] Batch [3549]/[3760] Speed: 70.486143 samples/sec accuracy=68.091109 loss=1.295127 lr=0.001000 Epoch[077] Batch [3599]/[3760] Speed: 70.521898 samples/sec accuracy=68.101562 loss=1.294634 lr=0.001000 Epoch[077] Batch [3649]/[3760] Speed: 69.531990 samples/sec accuracy=68.098459 loss=1.294896 lr=0.001000 Epoch[077] Batch [3699]/[3760] Speed: 70.408138 samples/sec accuracy=68.106419 loss=1.294594 lr=0.001000 Epoch[077] Batch [3749]/[3760] Speed: 76.901098 samples/sec accuracy=68.103333 loss=1.294439 lr=0.001000 Batch [0049]/[0303]: acc-top1=62.000000 acc-top5=83.187500 Batch [0099]/[0303]: acc-top1=61.875000 acc-top5=83.156250 Batch [0149]/[0303]: acc-top1=63.114583 acc-top5=83.677083 Batch [0199]/[0303]: acc-top1=63.554687 acc-top5=84.109375 Batch [0249]/[0303]: acc-top1=63.718750 acc-top5=84.387500 Batch [0299]/[0303]: acc-top1=63.593750 acc-top5=84.328125 [Epoch 077] training: accuracy=68.104222 loss=1.294376 [Epoch 077] speed: 69 samples/sec time cost: 3749.462037 [Epoch 077] validation: acc-top1=63.593234 acc-top5=84.333746 loss=1.604057 Epoch[078] Batch [0049]/[3759] Speed: 49.140034 samples/sec accuracy=68.750000 loss=1.248820 lr=0.001000 Epoch[078] Batch [0099]/[3759] Speed: 68.000082 samples/sec accuracy=69.281250 loss=1.230867 lr=0.001000 Epoch[078] Batch [0149]/[3759] Speed: 69.537901 samples/sec accuracy=68.656250 loss=1.255107 lr=0.001000 Epoch[078] Batch [0199]/[3759] Speed: 70.323344 samples/sec accuracy=68.710938 loss=1.253672 lr=0.001000 Epoch[078] Batch [0249]/[3759] Speed: 68.902901 samples/sec accuracy=68.693750 loss=1.255802 lr=0.001000 Epoch[078] Batch [0299]/[3759] Speed: 70.539953 samples/sec accuracy=68.697917 loss=1.260659 lr=0.001000 Epoch[078] Batch [0349]/[3759] Speed: 69.279399 samples/sec accuracy=68.799107 loss=1.255881 lr=0.001000 Epoch[078] Batch [0399]/[3759] Speed: 69.681635 samples/sec accuracy=68.812500 loss=1.251988 lr=0.001000 Epoch[078] Batch [0449]/[3759] Speed: 69.971497 samples/sec accuracy=68.777778 loss=1.255718 lr=0.001000 Epoch[078] Batch 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accuracy=68.467105 loss=1.267591 lr=0.001000 Epoch[078] Batch [0999]/[3759] Speed: 69.788919 samples/sec accuracy=68.514062 loss=1.267397 lr=0.001000 Epoch[078] Batch [1049]/[3759] Speed: 69.278595 samples/sec accuracy=68.537202 loss=1.266818 lr=0.001000 Epoch[078] Batch [1099]/[3759] Speed: 70.140796 samples/sec accuracy=68.532670 loss=1.268420 lr=0.001000 Epoch[078] Batch [1149]/[3759] Speed: 68.958944 samples/sec accuracy=68.483696 loss=1.269997 lr=0.001000 Epoch[078] Batch [1199]/[3759] Speed: 71.041886 samples/sec accuracy=68.467448 loss=1.270796 lr=0.001000 Epoch[078] Batch [1249]/[3759] Speed: 69.989788 samples/sec accuracy=68.448750 loss=1.272895 lr=0.001000 Epoch[078] Batch [1299]/[3759] Speed: 70.962410 samples/sec accuracy=68.460337 loss=1.272759 lr=0.001000 Epoch[078] Batch [1349]/[3759] Speed: 67.725496 samples/sec accuracy=68.483796 loss=1.271225 lr=0.001000 Epoch[078] Batch [1399]/[3759] Speed: 70.644157 samples/sec accuracy=68.543527 loss=1.269392 lr=0.001000 Epoch[078] 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accuracy=68.361020 loss=1.277556 lr=0.001000 Epoch[078] Batch [1949]/[3759] Speed: 68.368996 samples/sec accuracy=68.366186 loss=1.277842 lr=0.001000 Epoch[078] Batch [1999]/[3759] Speed: 72.236312 samples/sec accuracy=68.395313 loss=1.277544 lr=0.001000 Epoch[078] Batch [2049]/[3759] Speed: 69.939926 samples/sec accuracy=68.418445 loss=1.276984 lr=0.001000 Epoch[078] Batch [2099]/[3759] Speed: 68.803250 samples/sec accuracy=68.424851 loss=1.277225 lr=0.001000 Epoch[078] Batch [2149]/[3759] Speed: 67.768821 samples/sec accuracy=68.404070 loss=1.278012 lr=0.001000 Epoch[078] Batch [2199]/[3759] Speed: 71.912049 samples/sec accuracy=68.422585 loss=1.277766 lr=0.001000 Epoch[078] Batch [2249]/[3759] Speed: 69.411486 samples/sec accuracy=68.425000 loss=1.278104 lr=0.001000 Epoch[078] Batch [2299]/[3759] Speed: 68.570132 samples/sec accuracy=68.424592 loss=1.277957 lr=0.001000 Epoch[078] Batch [2349]/[3759] Speed: 69.742852 samples/sec accuracy=68.408910 loss=1.278376 lr=0.001000 Epoch[078] 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accuracy=68.348684 loss=1.281001 lr=0.001000 Epoch[078] Batch [2899]/[3759] Speed: 68.701671 samples/sec accuracy=68.360991 loss=1.281064 lr=0.001000 Epoch[078] Batch [2949]/[3759] Speed: 71.163247 samples/sec accuracy=68.331568 loss=1.281922 lr=0.001000 Epoch[078] Batch [2999]/[3759] Speed: 71.115569 samples/sec accuracy=68.317188 loss=1.282752 lr=0.001000 Epoch[078] Batch [3049]/[3759] Speed: 67.911946 samples/sec accuracy=68.324795 loss=1.282789 lr=0.001000 Epoch[078] Batch [3099]/[3759] Speed: 70.381277 samples/sec accuracy=68.326613 loss=1.283247 lr=0.001000 Epoch[078] Batch [3149]/[3759] Speed: 69.413851 samples/sec accuracy=68.342262 loss=1.282484 lr=0.001000 Epoch[078] Batch [3199]/[3759] Speed: 70.016817 samples/sec accuracy=68.346191 loss=1.281979 lr=0.001000 Epoch[078] Batch [3249]/[3759] Speed: 68.827387 samples/sec accuracy=68.345673 loss=1.282072 lr=0.001000 Epoch[078] Batch [3299]/[3759] Speed: 70.968908 samples/sec accuracy=68.350379 loss=1.282432 lr=0.001000 Epoch[078] Batch [3349]/[3759] Speed: 69.496461 samples/sec accuracy=68.329291 loss=1.283271 lr=0.001000 Epoch[078] Batch [3399]/[3759] Speed: 67.742979 samples/sec accuracy=68.304228 loss=1.283940 lr=0.001000 Epoch[078] Batch [3449]/[3759] Speed: 70.401592 samples/sec accuracy=68.303895 loss=1.284129 lr=0.001000 Epoch[078] Batch [3499]/[3759] Speed: 70.145579 samples/sec accuracy=68.292411 loss=1.284847 lr=0.001000 Epoch[078] Batch [3549]/[3759] Speed: 69.402293 samples/sec accuracy=68.275088 loss=1.285459 lr=0.001000 Epoch[078] Batch [3599]/[3759] Speed: 68.776057 samples/sec accuracy=68.268663 loss=1.286183 lr=0.001000 Epoch[078] Batch [3649]/[3759] Speed: 71.067308 samples/sec accuracy=68.246575 loss=1.287016 lr=0.001000 Epoch[078] Batch [3699]/[3759] Speed: 69.226231 samples/sec accuracy=68.258868 loss=1.286744 lr=0.001000 Epoch[078] Batch [3749]/[3759] Speed: 77.243668 samples/sec accuracy=68.247083 loss=1.287180 lr=0.001000 Batch [0049]/[0303]: acc-top1=61.656250 acc-top5=83.312500 Batch [0099]/[0303]: acc-top1=61.390625 acc-top5=83.703125 Batch [0149]/[0303]: acc-top1=62.479167 acc-top5=84.083333 Batch [0199]/[0303]: acc-top1=62.984375 acc-top5=84.468750 Batch [0249]/[0303]: acc-top1=63.287500 acc-top5=84.668750 Batch [0299]/[0303]: acc-top1=63.119792 acc-top5=84.546875 [Epoch 078] training: accuracy=68.250366 loss=1.287086 [Epoch 078] speed: 69 samples/sec time cost: 3747.882806 [Epoch 078] validation: acc-top1=63.108498 acc-top5=84.560644 loss=1.598771 Epoch[079] Batch [0049]/[3760] Speed: 48.624452 samples/sec accuracy=68.843750 loss=1.256779 lr=0.001000 Epoch[079] Batch [0099]/[3760] Speed: 69.561025 samples/sec accuracy=68.343750 loss=1.272876 lr=0.001000 Epoch[079] Batch [0149]/[3760] Speed: 69.971693 samples/sec accuracy=68.333333 loss=1.280803 lr=0.001000 Epoch[079] Batch [0199]/[3760] Speed: 69.212614 samples/sec accuracy=68.156250 loss=1.286530 lr=0.001000 Epoch[079] Batch [0249]/[3760] Speed: 69.210340 samples/sec accuracy=68.537500 loss=1.268631 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lr=0.001000 Epoch[079] Batch [3149]/[3760] Speed: 68.547019 samples/sec accuracy=68.271825 loss=1.288905 lr=0.001000 Epoch[079] Batch [3199]/[3760] Speed: 72.054419 samples/sec accuracy=68.282227 loss=1.288509 lr=0.001000 Epoch[079] Batch [3249]/[3760] Speed: 71.060540 samples/sec accuracy=68.286058 loss=1.288345 lr=0.001000 Epoch[079] Batch [3299]/[3760] Speed: 70.183002 samples/sec accuracy=68.282197 loss=1.287869 lr=0.001000 Epoch[079] Batch [3349]/[3760] Speed: 69.146993 samples/sec accuracy=68.274254 loss=1.288324 lr=0.001000 Epoch[079] Batch [3399]/[3760] Speed: 69.991349 samples/sec accuracy=68.264706 loss=1.288358 lr=0.001000 Epoch[079] Batch [3449]/[3760] Speed: 69.479902 samples/sec accuracy=68.285326 loss=1.287638 lr=0.001000 Epoch[079] Batch [3499]/[3760] Speed: 69.782837 samples/sec accuracy=68.273214 loss=1.287812 lr=0.001000 Epoch[079] Batch [3549]/[3760] Speed: 70.809834 samples/sec accuracy=68.262324 loss=1.288131 lr=0.001000 Epoch[079] Batch [3599]/[3760] Speed: 70.645649 samples/sec accuracy=68.250868 loss=1.288475 lr=0.001000 Epoch[079] Batch [3649]/[3760] Speed: 68.729217 samples/sec accuracy=68.251284 loss=1.288319 lr=0.001000 Epoch[079] Batch [3699]/[3760] Speed: 69.051375 samples/sec accuracy=68.255912 loss=1.288457 lr=0.001000 Epoch[079] Batch [3749]/[3760] Speed: 77.310806 samples/sec accuracy=68.255417 loss=1.288437 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.343750 acc-top5=84.156250 Batch [0099]/[0303]: acc-top1=62.265625 acc-top5=84.515625 Batch [0149]/[0303]: acc-top1=63.187500 acc-top5=84.583333 Batch [0199]/[0303]: acc-top1=63.726562 acc-top5=84.914062 Batch [0249]/[0303]: acc-top1=63.856250 acc-top5=85.087500 Batch [0299]/[0303]: acc-top1=63.692708 acc-top5=84.854167 [Epoch 079] training: accuracy=68.256732 loss=1.288498 [Epoch 079] speed: 69 samples/sec time cost: 3753.424043 [Epoch 079] validation: acc-top1=63.670586 acc-top5=84.859736 loss=1.592256 Epoch[080] Batch [0049]/[3760] Speed: 49.100707 samples/sec accuracy=67.625000 loss=1.290182 lr=0.000100 Epoch[080] Batch [0099]/[3760] Speed: 68.492756 samples/sec accuracy=68.187500 loss=1.277923 lr=0.000100 Epoch[080] Batch [0149]/[3760] Speed: 67.882710 samples/sec accuracy=68.541667 loss=1.276186 lr=0.000100 Epoch[080] Batch [0199]/[3760] Speed: 71.100544 samples/sec accuracy=68.867188 loss=1.256672 lr=0.000100 Epoch[080] Batch [0249]/[3760] Speed: 69.579079 samples/sec accuracy=69.106250 loss=1.252365 lr=0.000100 Epoch[080] Batch [0299]/[3760] Speed: 71.100456 samples/sec accuracy=68.890625 loss=1.254826 lr=0.000100 Epoch[080] Batch [0349]/[3760] Speed: 69.619898 samples/sec accuracy=68.910714 loss=1.252501 lr=0.000100 Epoch[080] Batch [0399]/[3760] Speed: 69.850979 samples/sec accuracy=68.902344 loss=1.250958 lr=0.000100 Epoch[080] Batch [0449]/[3760] Speed: 70.209185 samples/sec accuracy=68.861111 loss=1.252038 lr=0.000100 Epoch[080] Batch [0499]/[3760] Speed: 69.269918 samples/sec accuracy=68.984375 loss=1.249064 lr=0.000100 Epoch[080] 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accuracy=69.117188 loss=1.247280 lr=0.000100 Epoch[080] Batch [1049]/[3760] Speed: 70.364844 samples/sec accuracy=69.084821 loss=1.248386 lr=0.000100 Epoch[080] Batch [1099]/[3760] Speed: 68.910531 samples/sec accuracy=69.126420 loss=1.247583 lr=0.000100 Epoch[080] Batch [1149]/[3760] Speed: 70.659839 samples/sec accuracy=69.146739 loss=1.247174 lr=0.000100 Epoch[080] Batch [1199]/[3760] Speed: 68.597812 samples/sec accuracy=69.149740 loss=1.246060 lr=0.000100 Epoch[080] Batch [1249]/[3760] Speed: 70.227026 samples/sec accuracy=69.183750 loss=1.244920 lr=0.000100 Epoch[080] Batch [1299]/[3760] Speed: 69.212169 samples/sec accuracy=69.175481 loss=1.243174 lr=0.000100 Epoch[080] Batch [1349]/[3760] Speed: 69.807074 samples/sec accuracy=69.245370 loss=1.240324 lr=0.000100 Epoch[080] Batch [1399]/[3760] Speed: 67.613694 samples/sec accuracy=69.293527 loss=1.240603 lr=0.000100 Epoch[080] Batch [1449]/[3760] Speed: 72.911156 samples/sec accuracy=69.304957 loss=1.241502 lr=0.000100 Epoch[080] 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accuracy=69.362981 loss=1.238568 lr=0.000100 Epoch[080] Batch [1999]/[3760] Speed: 69.104676 samples/sec accuracy=69.374219 loss=1.238962 lr=0.000100 Epoch[080] Batch [2049]/[3760] Speed: 69.807224 samples/sec accuracy=69.371951 loss=1.239261 lr=0.000100 Epoch[080] Batch [2099]/[3760] Speed: 70.620000 samples/sec accuracy=69.372768 loss=1.240081 lr=0.000100 Epoch[080] Batch [2149]/[3760] Speed: 70.632555 samples/sec accuracy=69.385901 loss=1.239278 lr=0.000100 Epoch[080] Batch [2199]/[3760] Speed: 68.860974 samples/sec accuracy=69.406250 loss=1.238397 lr=0.000100 Epoch[080] Batch [2249]/[3760] Speed: 70.820989 samples/sec accuracy=69.440278 loss=1.237213 lr=0.000100 Epoch[080] Batch [2299]/[3760] Speed: 69.563277 samples/sec accuracy=69.461277 loss=1.236321 lr=0.000100 Epoch[080] Batch [2349]/[3760] Speed: 69.652822 samples/sec accuracy=69.470080 loss=1.235413 lr=0.000100 Epoch[080] Batch [2399]/[3760] Speed: 70.732112 samples/sec accuracy=69.501302 loss=1.234753 lr=0.000100 Epoch[080] Batch [2449]/[3760] Speed: 68.595287 samples/sec accuracy=69.478316 loss=1.235081 lr=0.000100 Epoch[080] Batch [2499]/[3760] Speed: 70.238461 samples/sec accuracy=69.493125 loss=1.234769 lr=0.000100 Epoch[080] Batch [2549]/[3760] Speed: 69.393861 samples/sec accuracy=69.473652 loss=1.235163 lr=0.000100 Epoch[080] Batch [2599]/[3760] Speed: 71.001999 samples/sec accuracy=69.475962 loss=1.235053 lr=0.000100 Epoch[080] Batch [2649]/[3760] Speed: 68.538605 samples/sec accuracy=69.469929 loss=1.235481 lr=0.000100 Epoch[080] Batch [2699]/[3760] Speed: 70.238891 samples/sec accuracy=69.473958 loss=1.235167 lr=0.000100 Epoch[080] Batch [2749]/[3760] Speed: 70.553294 samples/sec accuracy=69.481250 loss=1.235089 lr=0.000100 Epoch[080] Batch [2799]/[3760] Speed: 67.716640 samples/sec accuracy=69.493862 loss=1.235393 lr=0.000100 Epoch[080] Batch [2849]/[3760] Speed: 71.293266 samples/sec accuracy=69.472588 loss=1.236580 lr=0.000100 Epoch[080] Batch [2899]/[3760] Speed: 69.416852 samples/sec accuracy=69.472522 loss=1.236644 lr=0.000100 Epoch[080] Batch [2949]/[3760] Speed: 69.655032 samples/sec accuracy=69.472458 loss=1.236816 lr=0.000100 Epoch[080] Batch [2999]/[3760] Speed: 70.095782 samples/sec accuracy=69.458333 loss=1.237069 lr=0.000100 Epoch[080] Batch [3049]/[3760] Speed: 70.134692 samples/sec accuracy=69.474385 loss=1.237145 lr=0.000100 Epoch[080] Batch [3099]/[3760] Speed: 67.824202 samples/sec accuracy=69.465726 loss=1.237709 lr=0.000100 Epoch[080] Batch [3149]/[3760] Speed: 71.147764 samples/sec accuracy=69.469742 loss=1.237412 lr=0.000100 Epoch[080] Batch [3199]/[3760] Speed: 69.624311 samples/sec accuracy=69.458984 loss=1.237308 lr=0.000100 Epoch[080] Batch [3249]/[3760] Speed: 70.151345 samples/sec accuracy=69.453846 loss=1.237062 lr=0.000100 Epoch[080] Batch [3299]/[3760] Speed: 70.056756 samples/sec accuracy=69.453125 loss=1.236910 lr=0.000100 Epoch[080] Batch [3349]/[3760] Speed: 68.261442 samples/sec accuracy=69.449627 loss=1.237230 lr=0.000100 Epoch[080] Batch [3399]/[3760] Speed: 69.844135 samples/sec accuracy=69.460478 loss=1.236448 lr=0.000100 Epoch[080] Batch [3449]/[3760] Speed: 71.087767 samples/sec accuracy=69.437500 loss=1.237505 lr=0.000100 Epoch[080] Batch [3499]/[3760] Speed: 69.780268 samples/sec accuracy=69.447321 loss=1.237093 lr=0.000100 Epoch[080] Batch [3549]/[3760] Speed: 69.856410 samples/sec accuracy=69.445863 loss=1.236773 lr=0.000100 Epoch[080] Batch [3599]/[3760] Speed: 70.516116 samples/sec accuracy=69.444010 loss=1.236714 lr=0.000100 Epoch[080] Batch [3649]/[3760] Speed: 69.281769 samples/sec accuracy=69.440925 loss=1.236920 lr=0.000100 Epoch[080] Batch [3699]/[3760] Speed: 69.190398 samples/sec accuracy=69.456503 loss=1.236493 lr=0.000100 Epoch[080] Batch [3749]/[3760] Speed: 78.023107 samples/sec accuracy=69.462500 loss=1.236111 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.562500 acc-top5=84.343750 Batch [0099]/[0303]: acc-top1=62.375000 acc-top5=84.390625 Batch [0149]/[0303]: acc-top1=63.437500 acc-top5=84.770833 Batch [0199]/[0303]: acc-top1=64.000000 acc-top5=85.070312 Batch [0249]/[0303]: acc-top1=64.318750 acc-top5=85.225000 Batch [0299]/[0303]: acc-top1=64.114583 acc-top5=85.031250 [Epoch 080] training: accuracy=69.470163 loss=1.236002 [Epoch 080] speed: 69 samples/sec time cost: 3744.252791 [Epoch 080] validation: acc-top1=64.088284 acc-top5=85.045380 loss=1.572592 Epoch[081] Batch [0049]/[3759] Speed: 47.657623 samples/sec accuracy=69.125000 loss=1.249328 lr=0.000100 Epoch[081] Batch [0099]/[3759] Speed: 70.925706 samples/sec accuracy=69.203125 loss=1.233521 lr=0.000100 Epoch[081] Batch [0149]/[3759] Speed: 70.134236 samples/sec accuracy=69.208333 loss=1.230737 lr=0.000100 Epoch[081] Batch [0199]/[3759] Speed: 69.911165 samples/sec accuracy=69.578125 loss=1.228205 lr=0.000100 Epoch[081] Batch [0249]/[3759] Speed: 69.584695 samples/sec accuracy=69.687500 loss=1.226401 lr=0.000100 Epoch[081] Batch [0299]/[3759] Speed: 70.535604 samples/sec accuracy=69.703125 loss=1.228211 lr=0.000100 Epoch[081] Batch [0349]/[3759] Speed: 67.693374 samples/sec accuracy=69.816964 loss=1.228433 lr=0.000100 Epoch[081] Batch [0399]/[3759] Speed: 70.730840 samples/sec accuracy=69.902344 loss=1.226681 lr=0.000100 Epoch[081] Batch [0449]/[3759] Speed: 71.010142 samples/sec accuracy=69.944444 loss=1.222411 lr=0.000100 Epoch[081] Batch [0499]/[3759] Speed: 69.175090 samples/sec accuracy=69.950000 loss=1.221395 lr=0.000100 Epoch[081] Batch [0549]/[3759] Speed: 70.400319 samples/sec accuracy=69.926136 loss=1.220822 lr=0.000100 Epoch[081] Batch [0599]/[3759] Speed: 69.926665 samples/sec accuracy=69.927083 loss=1.220319 lr=0.000100 Epoch[081] Batch [0649]/[3759] Speed: 70.039594 samples/sec accuracy=69.915865 loss=1.221449 lr=0.000100 Epoch[081] Batch [0699]/[3759] Speed: 69.954553 samples/sec accuracy=69.823661 loss=1.221052 lr=0.000100 Epoch[081] Batch [0749]/[3759] Speed: 68.517948 samples/sec accuracy=69.783333 loss=1.222400 lr=0.000100 Epoch[081] Batch 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accuracy=69.777500 loss=1.221290 lr=0.000100 Epoch[081] Batch [1299]/[3759] Speed: 69.080068 samples/sec accuracy=69.764423 loss=1.222813 lr=0.000100 Epoch[081] Batch [1349]/[3759] Speed: 69.965445 samples/sec accuracy=69.761574 loss=1.222821 lr=0.000100 Epoch[081] Batch [1399]/[3759] Speed: 70.261005 samples/sec accuracy=69.772321 loss=1.223316 lr=0.000100 Epoch[081] Batch [1449]/[3759] Speed: 69.413875 samples/sec accuracy=69.786638 loss=1.223011 lr=0.000100 Epoch[081] Batch [1499]/[3759] Speed: 69.360406 samples/sec accuracy=69.828125 loss=1.222480 lr=0.000100 Epoch[081] Batch [1549]/[3759] Speed: 69.744929 samples/sec accuracy=69.845766 loss=1.221811 lr=0.000100 Epoch[081] Batch [1599]/[3759] Speed: 70.846610 samples/sec accuracy=69.860352 loss=1.221617 lr=0.000100 Epoch[081] Batch [1649]/[3759] Speed: 67.507386 samples/sec accuracy=69.862689 loss=1.222058 lr=0.000100 Epoch[081] Batch [1699]/[3759] Speed: 71.690415 samples/sec accuracy=69.852941 loss=1.222518 lr=0.000100 Epoch[081] 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accuracy=69.895597 loss=1.219568 lr=0.000100 Epoch[081] Batch [2249]/[3759] Speed: 70.202657 samples/sec accuracy=69.912500 loss=1.219217 lr=0.000100 Epoch[081] Batch [2299]/[3759] Speed: 69.379140 samples/sec accuracy=69.926630 loss=1.218844 lr=0.000100 Epoch[081] Batch [2349]/[3759] Speed: 70.119596 samples/sec accuracy=69.928191 loss=1.218222 lr=0.000100 Epoch[081] Batch [2399]/[3759] Speed: 70.828095 samples/sec accuracy=69.922526 loss=1.218536 lr=0.000100 Epoch[081] Batch [2449]/[3759] Speed: 68.450145 samples/sec accuracy=69.949617 loss=1.217931 lr=0.000100 Epoch[081] Batch [2499]/[3759] Speed: 70.480269 samples/sec accuracy=69.954375 loss=1.218432 lr=0.000100 Epoch[081] Batch [2549]/[3759] Speed: 69.086164 samples/sec accuracy=69.959559 loss=1.218015 lr=0.000100 Epoch[081] Batch [2599]/[3759] Speed: 69.385463 samples/sec accuracy=69.992788 loss=1.216680 lr=0.000100 Epoch[081] Batch [2649]/[3759] Speed: 69.598635 samples/sec accuracy=70.000000 loss=1.216105 lr=0.000100 Epoch[081] 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accuracy=69.891369 loss=1.218014 lr=0.000100 Epoch[081] Batch [3199]/[3759] Speed: 70.212266 samples/sec accuracy=69.907715 loss=1.217184 lr=0.000100 Epoch[081] Batch [3249]/[3759] Speed: 68.854887 samples/sec accuracy=69.891346 loss=1.217590 lr=0.000100 Epoch[081] Batch [3299]/[3759] Speed: 70.828289 samples/sec accuracy=69.890625 loss=1.217879 lr=0.000100 Epoch[081] Batch [3349]/[3759] Speed: 69.774893 samples/sec accuracy=69.903918 loss=1.217320 lr=0.000100 Epoch[081] Batch [3399]/[3759] Speed: 69.405733 samples/sec accuracy=69.889246 loss=1.217798 lr=0.000100 Epoch[081] Batch [3449]/[3759] Speed: 69.855428 samples/sec accuracy=69.879076 loss=1.217879 lr=0.000100 Epoch[081] Batch [3499]/[3759] Speed: 70.176809 samples/sec accuracy=69.877232 loss=1.217487 lr=0.000100 Epoch[081] Batch [3549]/[3759] Speed: 68.944335 samples/sec accuracy=69.863996 loss=1.217710 lr=0.000100 Epoch[081] Batch [3599]/[3759] Speed: 70.807175 samples/sec accuracy=69.870226 loss=1.217656 lr=0.000100 Epoch[081] Batch [3649]/[3759] Speed: 67.355934 samples/sec accuracy=69.877140 loss=1.217616 lr=0.000100 Epoch[081] Batch [3699]/[3759] Speed: 71.903331 samples/sec accuracy=69.868243 loss=1.218056 lr=0.000100 Epoch[081] Batch [3749]/[3759] Speed: 78.165300 samples/sec accuracy=69.859583 loss=1.218445 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.718750 acc-top5=84.312500 Batch [0099]/[0303]: acc-top1=62.515625 acc-top5=84.453125 Batch [0149]/[0303]: acc-top1=63.458333 acc-top5=84.812500 Batch [0199]/[0303]: acc-top1=64.023438 acc-top5=85.125000 Batch [0249]/[0303]: acc-top1=64.368750 acc-top5=85.331250 Batch [0299]/[0303]: acc-top1=64.208333 acc-top5=85.171875 [Epoch 081] training: accuracy=69.859421 loss=1.218616 [Epoch 081] speed: 69 samples/sec time cost: 3746.757249 [Epoch 081] validation: acc-top1=64.186262 acc-top5=85.169142 loss=1.559025 Epoch[082] Batch [0049]/[3760] Speed: 47.990788 samples/sec accuracy=70.000000 loss=1.208133 lr=0.000100 Epoch[082] Batch [0099]/[3760] Speed: 68.156318 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lr=0.000100 Epoch[082] Batch [2499]/[3760] Speed: 70.375686 samples/sec accuracy=70.276250 loss=1.207575 lr=0.000100 Epoch[082] Batch [2549]/[3760] Speed: 70.008311 samples/sec accuracy=70.264706 loss=1.207334 lr=0.000100 Epoch[082] Batch [2599]/[3760] Speed: 69.641242 samples/sec accuracy=70.256010 loss=1.207568 lr=0.000100 Epoch[082] Batch [2649]/[3760] Speed: 69.737307 samples/sec accuracy=70.254127 loss=1.207203 lr=0.000100 Epoch[082] Batch [2699]/[3760] Speed: 68.237494 samples/sec accuracy=70.263310 loss=1.206960 lr=0.000100 Epoch[082] Batch [2749]/[3760] Speed: 70.078726 samples/sec accuracy=70.271591 loss=1.207110 lr=0.000100 Epoch[082] Batch [2799]/[3760] Speed: 68.844231 samples/sec accuracy=70.275112 loss=1.207857 lr=0.000100 Epoch[082] Batch [2849]/[3760] Speed: 69.863325 samples/sec accuracy=70.241776 loss=1.208961 lr=0.000100 Epoch[082] Batch [2899]/[3760] Speed: 70.729329 samples/sec accuracy=70.228987 loss=1.209242 lr=0.000100 Epoch[082] Batch [2949]/[3760] Speed: 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lr=0.000100 Epoch[082] Batch [3449]/[3760] Speed: 70.561527 samples/sec accuracy=70.155344 loss=1.208826 lr=0.000100 Epoch[082] Batch [3499]/[3760] Speed: 70.084071 samples/sec accuracy=70.127679 loss=1.209862 lr=0.000100 Epoch[082] Batch [3549]/[3760] Speed: 70.022801 samples/sec accuracy=70.129401 loss=1.209670 lr=0.000100 Epoch[082] Batch [3599]/[3760] Speed: 68.121600 samples/sec accuracy=70.128472 loss=1.209466 lr=0.000100 Epoch[082] Batch [3649]/[3760] Speed: 69.704104 samples/sec accuracy=70.143836 loss=1.208933 lr=0.000100 Epoch[082] Batch [3699]/[3760] Speed: 70.148450 samples/sec accuracy=70.152449 loss=1.208730 lr=0.000100 Epoch[082] Batch [3749]/[3760] Speed: 77.511173 samples/sec accuracy=70.143750 loss=1.209204 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.687500 acc-top5=84.093750 Batch [0099]/[0303]: acc-top1=62.609375 acc-top5=84.250000 Batch [0149]/[0303]: acc-top1=63.687500 acc-top5=84.656250 Batch [0199]/[0303]: acc-top1=64.242188 acc-top5=85.039062 Batch [0249]/[0303]: acc-top1=64.425000 acc-top5=85.250000 Batch [0299]/[0303]: acc-top1=64.286458 acc-top5=85.088542 [Epoch 082] training: accuracy=70.149186 loss=1.208966 [Epoch 082] speed: 69 samples/sec time cost: 3756.365784 [Epoch 082] validation: acc-top1=64.263614 acc-top5=85.091790 loss=1.559077 Epoch[083] Batch [0049]/[3760] Speed: 48.837152 samples/sec accuracy=72.281250 loss=1.132780 lr=0.000100 Epoch[083] Batch [0099]/[3760] Speed: 68.077196 samples/sec accuracy=71.156250 loss=1.170604 lr=0.000100 Epoch[083] Batch [0149]/[3760] Speed: 68.734440 samples/sec accuracy=70.635417 loss=1.187446 lr=0.000100 Epoch[083] Batch [0199]/[3760] Speed: 68.565037 samples/sec accuracy=70.343750 loss=1.190941 lr=0.000100 Epoch[083] Batch [0249]/[3760] Speed: 70.098713 samples/sec accuracy=70.612500 loss=1.182062 lr=0.000100 Epoch[083] Batch [0299]/[3760] Speed: 67.878334 samples/sec accuracy=70.380208 loss=1.187916 lr=0.000100 Epoch[083] Batch [0349]/[3760] Speed: 71.182191 samples/sec accuracy=70.312500 loss=1.186928 lr=0.000100 Epoch[083] Batch [0399]/[3760] Speed: 69.531843 samples/sec accuracy=70.285156 loss=1.190977 lr=0.000100 Epoch[083] Batch [0449]/[3760] Speed: 71.212483 samples/sec accuracy=70.190972 loss=1.197302 lr=0.000100 Epoch[083] Batch [0499]/[3760] Speed: 70.218905 samples/sec accuracy=70.040625 loss=1.204302 lr=0.000100 Epoch[083] Batch [0549]/[3760] Speed: 69.636829 samples/sec accuracy=70.159091 loss=1.199583 lr=0.000100 Epoch[083] Batch [0599]/[3760] Speed: 68.047949 samples/sec accuracy=70.049479 loss=1.201964 lr=0.000100 Epoch[083] Batch [0649]/[3760] Speed: 68.707811 samples/sec accuracy=70.079327 loss=1.200524 lr=0.000100 Epoch[083] Batch [0699]/[3760] Speed: 71.160885 samples/sec accuracy=70.000000 loss=1.202739 lr=0.000100 Epoch[083] Batch [0749]/[3760] Speed: 70.131456 samples/sec accuracy=70.072917 loss=1.202163 lr=0.000100 Epoch[083] Batch [0799]/[3760] Speed: 67.192694 samples/sec accuracy=70.082031 loss=1.203186 lr=0.000100 Epoch[083] 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accuracy=70.026442 loss=1.206835 lr=0.000100 Epoch[083] Batch [1349]/[3760] Speed: 70.108838 samples/sec accuracy=69.979167 loss=1.208901 lr=0.000100 Epoch[083] Batch [1399]/[3760] Speed: 65.918782 samples/sec accuracy=70.017857 loss=1.210159 lr=0.000100 Epoch[083] Batch [1449]/[3760] Speed: 73.226050 samples/sec accuracy=70.039871 loss=1.209731 lr=0.000100 Epoch[083] Batch [1499]/[3760] Speed: 69.999856 samples/sec accuracy=69.979167 loss=1.212270 lr=0.000100 Epoch[083] Batch [1549]/[3760] Speed: 69.548274 samples/sec accuracy=69.996976 loss=1.211400 lr=0.000100 Epoch[083] Batch [1599]/[3760] Speed: 69.139750 samples/sec accuracy=70.055664 loss=1.209462 lr=0.000100 Epoch[083] Batch [1649]/[3760] Speed: 70.033713 samples/sec accuracy=70.071023 loss=1.208545 lr=0.000100 Epoch[083] Batch [1699]/[3760] Speed: 69.989466 samples/sec accuracy=70.093750 loss=1.208434 lr=0.000100 Epoch[083] Batch [1749]/[3760] Speed: 69.396684 samples/sec accuracy=70.110714 loss=1.207739 lr=0.000100 Epoch[083] 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accuracy=70.214583 loss=1.204824 lr=0.000100 Epoch[083] Batch [2299]/[3760] Speed: 69.828698 samples/sec accuracy=70.187500 loss=1.205260 lr=0.000100 Epoch[083] Batch [2349]/[3760] Speed: 69.112968 samples/sec accuracy=70.199468 loss=1.204860 lr=0.000100 Epoch[083] Batch [2399]/[3760] Speed: 71.067370 samples/sec accuracy=70.187500 loss=1.205383 lr=0.000100 Epoch[083] Batch [2449]/[3760] Speed: 68.580864 samples/sec accuracy=70.206633 loss=1.204880 lr=0.000100 Epoch[083] Batch [2499]/[3760] Speed: 70.379980 samples/sec accuracy=70.235000 loss=1.204088 lr=0.000100 Epoch[083] Batch [2549]/[3760] Speed: 67.961602 samples/sec accuracy=70.221814 loss=1.203804 lr=0.000100 Epoch[083] Batch [2599]/[3760] Speed: 68.989933 samples/sec accuracy=70.221154 loss=1.203888 lr=0.000100 Epoch[083] Batch [2649]/[3760] Speed: 71.800764 samples/sec accuracy=70.227594 loss=1.203456 lr=0.000100 Epoch[083] Batch [2699]/[3760] Speed: 69.162140 samples/sec accuracy=70.213542 loss=1.203915 lr=0.000100 Epoch[083] 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accuracy=70.201660 loss=1.204253 lr=0.000100 Epoch[083] Batch [3249]/[3760] Speed: 70.666769 samples/sec accuracy=70.200000 loss=1.204055 lr=0.000100 Epoch[083] Batch [3299]/[3760] Speed: 69.685510 samples/sec accuracy=70.210227 loss=1.203631 lr=0.000100 Epoch[083] Batch [3349]/[3760] Speed: 69.761106 samples/sec accuracy=70.219683 loss=1.202751 lr=0.000100 Epoch[083] Batch [3399]/[3760] Speed: 68.039009 samples/sec accuracy=70.215074 loss=1.203211 lr=0.000100 Epoch[083] Batch [3449]/[3760] Speed: 70.733248 samples/sec accuracy=70.202899 loss=1.203956 lr=0.000100 Epoch[083] Batch [3499]/[3760] Speed: 68.969679 samples/sec accuracy=70.200000 loss=1.204554 lr=0.000100 Epoch[083] Batch [3549]/[3760] Speed: 70.951794 samples/sec accuracy=70.199824 loss=1.204762 lr=0.000100 Epoch[083] Batch [3599]/[3760] Speed: 70.329156 samples/sec accuracy=70.198351 loss=1.205049 lr=0.000100 Epoch[083] Batch [3649]/[3760] Speed: 68.734478 samples/sec accuracy=70.182791 loss=1.204799 lr=0.000100 Epoch[083] Batch [3699]/[3760] Speed: 70.499657 samples/sec accuracy=70.187078 loss=1.204783 lr=0.000100 Epoch[083] Batch [3749]/[3760] Speed: 76.933961 samples/sec accuracy=70.182083 loss=1.204916 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.656250 acc-top5=84.125000 Batch [0099]/[0303]: acc-top1=62.640625 acc-top5=84.187500 Batch [0149]/[0303]: acc-top1=63.812500 acc-top5=84.604167 Batch [0199]/[0303]: acc-top1=64.304688 acc-top5=84.992188 Batch [0249]/[0303]: acc-top1=64.606250 acc-top5=85.275000 Batch [0299]/[0303]: acc-top1=64.416667 acc-top5=85.109375 [Epoch 083] training: accuracy=70.185339 loss=1.205017 [Epoch 083] speed: 69 samples/sec time cost: 3755.288259 [Epoch 083] validation: acc-top1=64.387376 acc-top5=85.112417 loss=1.563435 Epoch[084] Batch [0049]/[3759] Speed: 48.540663 samples/sec accuracy=68.625000 loss=1.280062 lr=0.000100 Epoch[084] Batch [0099]/[3759] Speed: 67.077179 samples/sec accuracy=69.906250 loss=1.235906 lr=0.000100 Epoch[084] Batch [0149]/[3759] Speed: 68.602187 samples/sec accuracy=69.843750 loss=1.231580 lr=0.000100 Epoch[084] Batch [0199]/[3759] Speed: 70.377487 samples/sec accuracy=70.117188 loss=1.216111 lr=0.000100 Epoch[084] Batch [0249]/[3759] Speed: 69.910680 samples/sec accuracy=70.168750 loss=1.219911 lr=0.000100 Epoch[084] Batch [0299]/[3759] Speed: 70.374678 samples/sec accuracy=70.265625 loss=1.208262 lr=0.000100 Epoch[084] Batch [0349]/[3759] Speed: 69.517207 samples/sec accuracy=70.397321 loss=1.201624 lr=0.000100 Epoch[084] Batch [0399]/[3759] Speed: 70.189382 samples/sec accuracy=70.355469 loss=1.202361 lr=0.000100 Epoch[084] Batch [0449]/[3759] Speed: 69.261005 samples/sec accuracy=70.496528 loss=1.197206 lr=0.000100 Epoch[084] Batch [0499]/[3759] Speed: 70.491231 samples/sec accuracy=70.400000 loss=1.196577 lr=0.000100 Epoch[084] Batch [0549]/[3759] Speed: 69.823362 samples/sec accuracy=70.414773 loss=1.196432 lr=0.000100 Epoch[084] Batch [0599]/[3759] Speed: 68.048424 samples/sec accuracy=70.395833 loss=1.197047 lr=0.000100 Epoch[084] Batch [0649]/[3759] Speed: 70.572488 samples/sec accuracy=70.466346 loss=1.194866 lr=0.000100 Epoch[084] Batch [0699]/[3759] Speed: 69.699852 samples/sec accuracy=70.383929 loss=1.200171 lr=0.000100 Epoch[084] Batch [0749]/[3759] Speed: 69.472897 samples/sec accuracy=70.291667 loss=1.200447 lr=0.000100 Epoch[084] Batch [0799]/[3759] Speed: 69.502342 samples/sec accuracy=70.330078 loss=1.199961 lr=0.000100 Epoch[084] Batch [0849]/[3759] Speed: 69.519027 samples/sec accuracy=70.279412 loss=1.203016 lr=0.000100 Epoch[084] Batch [0899]/[3759] Speed: 70.933969 samples/sec accuracy=70.255208 loss=1.205144 lr=0.000100 Epoch[084] Batch [0949]/[3759] Speed: 69.625938 samples/sec accuracy=70.213816 loss=1.206146 lr=0.000100 Epoch[084] Batch [0999]/[3759] Speed: 70.724659 samples/sec accuracy=70.179688 loss=1.207569 lr=0.000100 Epoch[084] Batch [1049]/[3759] Speed: 69.913277 samples/sec accuracy=70.244048 loss=1.205471 lr=0.000100 Epoch[084] Batch [1099]/[3759] Speed: 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lr=0.000100 Epoch[084] Batch [1599]/[3759] Speed: 70.406727 samples/sec accuracy=70.238281 loss=1.204166 lr=0.000100 Epoch[084] Batch [1649]/[3759] Speed: 70.592148 samples/sec accuracy=70.259470 loss=1.203845 lr=0.000100 Epoch[084] Batch [1699]/[3759] Speed: 69.010337 samples/sec accuracy=70.254596 loss=1.203881 lr=0.000100 Epoch[084] Batch [1749]/[3759] Speed: 69.750633 samples/sec accuracy=70.268750 loss=1.203177 lr=0.000100 Epoch[084] Batch [1799]/[3759] Speed: 70.609816 samples/sec accuracy=70.298611 loss=1.201889 lr=0.000100 Epoch[084] Batch [1849]/[3759] Speed: 67.859730 samples/sec accuracy=70.337838 loss=1.201558 lr=0.000100 Epoch[084] Batch [1899]/[3759] Speed: 71.326247 samples/sec accuracy=70.324836 loss=1.202167 lr=0.000100 Epoch[084] Batch [1949]/[3759] Speed: 70.310248 samples/sec accuracy=70.299679 loss=1.202726 lr=0.000100 Epoch[084] Batch [1999]/[3759] Speed: 68.891935 samples/sec accuracy=70.289844 loss=1.202447 lr=0.000100 Epoch[084] Batch [2049]/[3759] Speed: 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lr=0.000100 Epoch[084] Batch [2549]/[3759] Speed: 71.074484 samples/sec accuracy=70.327206 loss=1.200962 lr=0.000100 Epoch[084] Batch [2599]/[3759] Speed: 69.221691 samples/sec accuracy=70.325721 loss=1.200620 lr=0.000100 Epoch[084] Batch [2649]/[3759] Speed: 69.148685 samples/sec accuracy=70.327241 loss=1.200671 lr=0.000100 Epoch[084] Batch [2699]/[3759] Speed: 69.545564 samples/sec accuracy=70.322338 loss=1.201256 lr=0.000100 Epoch[084] Batch [2749]/[3759] Speed: 70.522030 samples/sec accuracy=70.336364 loss=1.200210 lr=0.000100 Epoch[084] Batch [2799]/[3759] Speed: 69.907775 samples/sec accuracy=70.339286 loss=1.200400 lr=0.000100 Epoch[084] Batch [2849]/[3759] Speed: 70.120717 samples/sec accuracy=70.343202 loss=1.199880 lr=0.000100 Epoch[084] Batch [2899]/[3759] Speed: 68.320359 samples/sec accuracy=70.333513 loss=1.199655 lr=0.000100 Epoch[084] Batch [2949]/[3759] Speed: 68.978215 samples/sec accuracy=70.359110 loss=1.198954 lr=0.000100 Epoch[084] Batch [2999]/[3759] Speed: 71.708694 samples/sec accuracy=70.369792 loss=1.198566 lr=0.000100 Epoch[084] Batch [3049]/[3759] Speed: 67.723442 samples/sec accuracy=70.353484 loss=1.198972 lr=0.000100 Epoch[084] Batch [3099]/[3759] Speed: 70.349777 samples/sec accuracy=70.328125 loss=1.199409 lr=0.000100 Epoch[084] Batch [3149]/[3759] Speed: 71.386826 samples/sec accuracy=70.345734 loss=1.198754 lr=0.000100 Epoch[084] Batch [3199]/[3759] Speed: 68.082837 samples/sec accuracy=70.334473 loss=1.199105 lr=0.000100 Epoch[084] Batch [3249]/[3759] Speed: 69.639043 samples/sec accuracy=70.324038 loss=1.199087 lr=0.000100 Epoch[084] Batch [3299]/[3759] Speed: 69.037689 samples/sec accuracy=70.332860 loss=1.198766 lr=0.000100 Epoch[084] Batch [3349]/[3759] Speed: 70.016695 samples/sec accuracy=70.333022 loss=1.199596 lr=0.000100 Epoch[084] Batch [3399]/[3759] Speed: 71.139791 samples/sec accuracy=70.330882 loss=1.199898 lr=0.000100 Epoch[084] Batch [3449]/[3759] Speed: 70.313112 samples/sec accuracy=70.323822 loss=1.200589 lr=0.000100 Epoch[084] Batch [3499]/[3759] Speed: 69.296673 samples/sec accuracy=70.315179 loss=1.200486 lr=0.000100 Epoch[084] Batch [3549]/[3759] Speed: 69.429793 samples/sec accuracy=70.319982 loss=1.200274 lr=0.000100 Epoch[084] Batch [3599]/[3759] Speed: 68.703014 samples/sec accuracy=70.314670 loss=1.200231 lr=0.000100 Epoch[084] Batch [3649]/[3759] Speed: 70.833671 samples/sec accuracy=70.297089 loss=1.201046 lr=0.000100 Epoch[084] Batch [3699]/[3759] Speed: 68.350126 samples/sec accuracy=70.291807 loss=1.201308 lr=0.000100 Epoch[084] Batch [3749]/[3759] Speed: 78.749847 samples/sec accuracy=70.310417 loss=1.201403 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.687500 acc-top5=84.250000 Batch [0099]/[0303]: acc-top1=62.828125 acc-top5=84.312500 Batch [0149]/[0303]: acc-top1=63.833333 acc-top5=84.781250 Batch [0199]/[0303]: acc-top1=64.242188 acc-top5=85.093750 Batch [0249]/[0303]: acc-top1=64.543750 acc-top5=85.325000 Batch [0299]/[0303]: acc-top1=64.395833 acc-top5=85.156250 [Epoch 084] training: accuracy=70.310422 loss=1.201387 [Epoch 084] speed: 69 samples/sec time cost: 3750.068537 [Epoch 084] validation: acc-top1=64.356436 acc-top5=85.163985 loss=1.555969 Epoch[085] Batch [0049]/[3760] Speed: 48.598740 samples/sec accuracy=70.093750 loss=1.210484 lr=0.000100 Epoch[085] Batch [0099]/[3760] Speed: 67.624233 samples/sec accuracy=70.265625 loss=1.197153 lr=0.000100 Epoch[085] Batch [0149]/[3760] Speed: 68.682661 samples/sec accuracy=70.302083 loss=1.190666 lr=0.000100 Epoch[085] Batch [0199]/[3760] Speed: 68.548322 samples/sec accuracy=70.046875 loss=1.201949 lr=0.000100 Epoch[085] Batch [0249]/[3760] Speed: 69.941067 samples/sec accuracy=70.212500 loss=1.199472 lr=0.000100 Epoch[085] Batch [0299]/[3760] Speed: 69.748991 samples/sec accuracy=70.359375 loss=1.199142 lr=0.000100 Epoch[085] Batch [0349]/[3760] Speed: 69.861773 samples/sec accuracy=70.299107 loss=1.201401 lr=0.000100 Epoch[085] Batch [0399]/[3760] Speed: 71.576712 samples/sec accuracy=70.144531 loss=1.204799 lr=0.000100 Epoch[085] Batch [0449]/[3760] Speed: 69.224586 samples/sec accuracy=70.031250 loss=1.210420 lr=0.000100 Epoch[085] Batch [0499]/[3760] Speed: 68.809743 samples/sec accuracy=69.981250 loss=1.208151 lr=0.000100 Epoch[085] Batch [0549]/[3760] Speed: 70.525849 samples/sec accuracy=69.960227 loss=1.208279 lr=0.000100 Epoch[085] Batch [0599]/[3760] Speed: 70.106154 samples/sec accuracy=69.963542 loss=1.206128 lr=0.000100 Epoch[085] Batch [0649]/[3760] Speed: 69.537700 samples/sec accuracy=69.983173 loss=1.205749 lr=0.000100 Epoch[085] Batch [0699]/[3760] Speed: 69.713507 samples/sec accuracy=70.022321 loss=1.204071 lr=0.000100 Epoch[085] Batch [0749]/[3760] Speed: 69.187401 samples/sec accuracy=70.110417 loss=1.201234 lr=0.000100 Epoch[085] Batch [0799]/[3760] Speed: 68.163471 samples/sec accuracy=70.177734 loss=1.197789 lr=0.000100 Epoch[085] Batch [0849]/[3760] Speed: 68.945332 samples/sec accuracy=70.181985 loss=1.199429 lr=0.000100 Epoch[085] 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accuracy=70.292824 loss=1.196547 lr=0.000100 Epoch[085] Batch [1399]/[3760] Speed: 69.934022 samples/sec accuracy=70.297991 loss=1.196015 lr=0.000100 Epoch[085] Batch [1449]/[3760] Speed: 69.581752 samples/sec accuracy=70.309267 loss=1.196474 lr=0.000100 Epoch[085] Batch [1499]/[3760] Speed: 70.305380 samples/sec accuracy=70.303125 loss=1.196646 lr=0.000100 Epoch[085] Batch [1549]/[3760] Speed: 69.728144 samples/sec accuracy=70.308468 loss=1.195991 lr=0.000100 Epoch[085] Batch [1599]/[3760] Speed: 69.192537 samples/sec accuracy=70.277344 loss=1.196982 lr=0.000100 Epoch[085] Batch [1649]/[3760] Speed: 66.425688 samples/sec accuracy=70.281250 loss=1.196827 lr=0.000100 Epoch[085] Batch [1699]/[3760] Speed: 71.409964 samples/sec accuracy=70.273897 loss=1.196697 lr=0.000100 Epoch[085] Batch [1749]/[3760] Speed: 70.554491 samples/sec accuracy=70.245536 loss=1.198442 lr=0.000100 Epoch[085] Batch [1799]/[3760] Speed: 69.818544 samples/sec accuracy=70.236979 loss=1.199471 lr=0.000100 Epoch[085] Batch [1849]/[3760] Speed: 69.365388 samples/sec accuracy=70.217905 loss=1.199786 lr=0.000100 Epoch[085] Batch [1899]/[3760] Speed: 69.087670 samples/sec accuracy=70.245066 loss=1.199175 lr=0.000100 Epoch[085] Batch [1949]/[3760] Speed: 70.516262 samples/sec accuracy=70.204327 loss=1.200922 lr=0.000100 Epoch[085] Batch [1999]/[3760] Speed: 67.166960 samples/sec accuracy=70.200781 loss=1.201649 lr=0.000100 Epoch[085] Batch [2049]/[3760] Speed: 72.190593 samples/sec accuracy=70.193598 loss=1.201929 lr=0.000100 Epoch[085] Batch [2099]/[3760] Speed: 70.695032 samples/sec accuracy=70.206845 loss=1.201471 lr=0.000100 Epoch[085] Batch [2149]/[3760] Speed: 69.039245 samples/sec accuracy=70.206395 loss=1.201598 lr=0.000100 Epoch[085] Batch [2199]/[3760] Speed: 70.052830 samples/sec accuracy=70.231534 loss=1.200306 lr=0.000100 Epoch[085] Batch [2249]/[3760] Speed: 70.055120 samples/sec accuracy=70.258333 loss=1.199847 lr=0.000100 Epoch[085] Batch [2299]/[3760] Speed: 70.091940 samples/sec accuracy=70.274457 loss=1.199103 lr=0.000100 Epoch[085] Batch [2349]/[3760] Speed: 69.362579 samples/sec accuracy=70.288564 loss=1.198414 lr=0.000100 Epoch[085] Batch [2399]/[3760] Speed: 69.722273 samples/sec accuracy=70.294271 loss=1.198924 lr=0.000100 Epoch[085] Batch [2449]/[3760] Speed: 69.538526 samples/sec accuracy=70.323342 loss=1.197709 lr=0.000100 Epoch[085] Batch [2499]/[3760] Speed: 68.753845 samples/sec accuracy=70.338750 loss=1.197519 lr=0.000100 Epoch[085] Batch [2549]/[3760] Speed: 70.395480 samples/sec accuracy=70.324755 loss=1.197690 lr=0.000100 Epoch[085] Batch [2599]/[3760] Speed: 67.739205 samples/sec accuracy=70.340745 loss=1.197743 lr=0.000100 Epoch[085] Batch [2649]/[3760] Speed: 70.523575 samples/sec accuracy=70.342571 loss=1.198217 lr=0.000100 Epoch[085] Batch [2699]/[3760] Speed: 70.042880 samples/sec accuracy=70.328704 loss=1.198314 lr=0.000100 Epoch[085] Batch [2749]/[3760] Speed: 69.610686 samples/sec accuracy=70.344886 loss=1.198169 lr=0.000100 Epoch[085] Batch [2799]/[3760] Speed: 69.654987 samples/sec accuracy=70.357701 loss=1.197681 lr=0.000100 Epoch[085] Batch [2849]/[3760] Speed: 69.412709 samples/sec accuracy=70.351425 loss=1.198252 lr=0.000100 Epoch[085] Batch [2899]/[3760] Speed: 68.563063 samples/sec accuracy=70.365302 loss=1.198299 lr=0.000100 Epoch[085] Batch [2949]/[3760] Speed: 70.871661 samples/sec accuracy=70.349047 loss=1.198292 lr=0.000100 Epoch[085] Batch [2999]/[3760] Speed: 67.825288 samples/sec accuracy=70.357813 loss=1.198107 lr=0.000100 Epoch[085] Batch [3049]/[3760] Speed: 70.892756 samples/sec accuracy=70.360143 loss=1.198298 lr=0.000100 Epoch[085] Batch [3099]/[3760] Speed: 69.525447 samples/sec accuracy=70.366431 loss=1.197849 lr=0.000100 Epoch[085] Batch [3149]/[3760] Speed: 69.520760 samples/sec accuracy=70.380456 loss=1.197527 lr=0.000100 Epoch[085] Batch [3199]/[3760] Speed: 69.550829 samples/sec accuracy=70.364258 loss=1.198017 lr=0.000100 Epoch[085] Batch [3249]/[3760] Speed: 69.494338 samples/sec accuracy=70.365385 loss=1.197773 lr=0.000100 Epoch[085] Batch [3299]/[3760] Speed: 70.124904 samples/sec accuracy=70.355587 loss=1.197831 lr=0.000100 Epoch[085] Batch [3349]/[3760] Speed: 70.231959 samples/sec accuracy=70.347948 loss=1.197901 lr=0.000100 Epoch[085] Batch [3399]/[3760] Speed: 69.399283 samples/sec accuracy=70.353401 loss=1.197994 lr=0.000100 Epoch[085] Batch [3449]/[3760] Speed: 68.377793 samples/sec accuracy=70.355978 loss=1.197811 lr=0.000100 Epoch[085] Batch [3499]/[3760] Speed: 69.255147 samples/sec accuracy=70.347768 loss=1.198711 lr=0.000100 Epoch[085] Batch [3549]/[3760] Speed: 70.037399 samples/sec accuracy=70.348151 loss=1.198940 lr=0.000100 Epoch[085] Batch [3599]/[3760] Speed: 67.452276 samples/sec accuracy=70.353299 loss=1.198710 lr=0.000100 Epoch[085] Batch [3649]/[3760] Speed: 71.307788 samples/sec accuracy=70.354880 loss=1.198622 lr=0.000100 Epoch[085] Batch [3699]/[3760] Speed: 70.756974 samples/sec accuracy=70.346706 loss=1.199185 lr=0.000100 Epoch[085] Batch [3749]/[3760] Speed: 76.745149 samples/sec accuracy=70.340417 loss=1.199619 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.687500 acc-top5=84.031250 Batch [0099]/[0303]: acc-top1=62.812500 acc-top5=84.218750 Batch [0149]/[0303]: acc-top1=63.833333 acc-top5=84.541667 Batch [0199]/[0303]: acc-top1=64.273438 acc-top5=84.890625 Batch [0249]/[0303]: acc-top1=64.625000 acc-top5=85.187500 Batch [0299]/[0303]: acc-top1=64.442708 acc-top5=85.015625 [Epoch 085] training: accuracy=70.345329 loss=1.199452 [Epoch 085] speed: 69 samples/sec time cost: 3755.326121 [Epoch 085] validation: acc-top1=64.413160 acc-top5=85.029909 loss=1.560570 Epoch[086] Batch [0049]/[3760] Speed: 48.038606 samples/sec accuracy=70.093750 loss=1.196875 lr=0.000100 Epoch[086] Batch [0099]/[3760] Speed: 69.808278 samples/sec accuracy=70.343750 loss=1.186314 lr=0.000100 Epoch[086] Batch [0149]/[3760] Speed: 67.905801 samples/sec accuracy=70.395833 loss=1.189997 lr=0.000100 Epoch[086] Batch [0199]/[3760] Speed: 71.433896 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lr=0.000100 Epoch[086] Batch [0699]/[3760] Speed: 68.999045 samples/sec accuracy=70.645089 loss=1.196120 lr=0.000100 Epoch[086] Batch [0749]/[3760] Speed: 70.028260 samples/sec accuracy=70.616667 loss=1.195635 lr=0.000100 Epoch[086] Batch [0799]/[3760] Speed: 67.945458 samples/sec accuracy=70.642578 loss=1.192931 lr=0.000100 Epoch[086] Batch [0849]/[3760] Speed: 70.768690 samples/sec accuracy=70.615809 loss=1.193903 lr=0.000100 Epoch[086] Batch [0899]/[3760] Speed: 69.590928 samples/sec accuracy=70.583333 loss=1.195548 lr=0.000100 Epoch[086] Batch [0949]/[3760] Speed: 69.339312 samples/sec accuracy=70.490132 loss=1.198092 lr=0.000100 Epoch[086] Batch [0999]/[3760] Speed: 69.617882 samples/sec accuracy=70.485937 loss=1.197874 lr=0.000100 Epoch[086] Batch [1049]/[3760] Speed: 68.741589 samples/sec accuracy=70.480655 loss=1.197918 lr=0.000100 Epoch[086] Batch [1099]/[3760] Speed: 70.386959 samples/sec accuracy=70.450284 loss=1.200114 lr=0.000100 Epoch[086] Batch [1149]/[3760] Speed: 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lr=0.000100 Epoch[086] Batch [1649]/[3760] Speed: 70.002294 samples/sec accuracy=70.429924 loss=1.200418 lr=0.000100 Epoch[086] Batch [1699]/[3760] Speed: 68.865385 samples/sec accuracy=70.420037 loss=1.200057 lr=0.000100 Epoch[086] Batch [1749]/[3760] Speed: 66.216969 samples/sec accuracy=70.430357 loss=1.200130 lr=0.000100 Epoch[086] Batch [1799]/[3760] Speed: 73.510729 samples/sec accuracy=70.460069 loss=1.197914 lr=0.000100 Epoch[086] Batch [1849]/[3760] Speed: 69.958824 samples/sec accuracy=70.467061 loss=1.197638 lr=0.000100 Epoch[086] Batch [1899]/[3760] Speed: 70.105195 samples/sec accuracy=70.466283 loss=1.197762 lr=0.000100 Epoch[086] Batch [1949]/[3760] Speed: 69.645255 samples/sec accuracy=70.473558 loss=1.196676 lr=0.000100 Epoch[086] Batch [1999]/[3760] Speed: 70.046617 samples/sec accuracy=70.472656 loss=1.197544 lr=0.000100 Epoch[086] Batch [2049]/[3760] Speed: 68.246778 samples/sec accuracy=70.468750 loss=1.198577 lr=0.000100 Epoch[086] Batch [2099]/[3760] Speed: 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lr=0.000100 Epoch[086] Batch [2599]/[3760] Speed: 68.786182 samples/sec accuracy=70.425481 loss=1.200375 lr=0.000100 Epoch[086] Batch [2649]/[3760] Speed: 70.257491 samples/sec accuracy=70.432783 loss=1.199613 lr=0.000100 Epoch[086] Batch [2699]/[3760] Speed: 69.827101 samples/sec accuracy=70.439236 loss=1.199565 lr=0.000100 Epoch[086] Batch [2749]/[3760] Speed: 68.551715 samples/sec accuracy=70.445455 loss=1.199765 lr=0.000100 Epoch[086] Batch [2799]/[3760] Speed: 70.552841 samples/sec accuracy=70.444196 loss=1.199352 lr=0.000100 Epoch[086] Batch [2849]/[3760] Speed: 69.489336 samples/sec accuracy=70.450110 loss=1.199137 lr=0.000100 Epoch[086] Batch [2899]/[3760] Speed: 69.199673 samples/sec accuracy=70.460129 loss=1.198770 lr=0.000100 Epoch[086] Batch [2949]/[3760] Speed: 70.724019 samples/sec accuracy=70.461335 loss=1.198686 lr=0.000100 Epoch[086] Batch [2999]/[3760] Speed: 69.788705 samples/sec accuracy=70.460938 loss=1.198771 lr=0.000100 Epoch[086] Batch [3049]/[3760] Speed: 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lr=0.000100 Epoch[086] Batch [3549]/[3760] Speed: 69.801394 samples/sec accuracy=70.440141 loss=1.199863 lr=0.000100 Epoch[086] Batch [3599]/[3760] Speed: 70.421395 samples/sec accuracy=70.441406 loss=1.200090 lr=0.000100 Epoch[086] Batch [3649]/[3760] Speed: 67.275372 samples/sec accuracy=70.460188 loss=1.199341 lr=0.000100 Epoch[086] Batch [3699]/[3760] Speed: 70.846054 samples/sec accuracy=70.458193 loss=1.199062 lr=0.000100 Epoch[086] Batch [3749]/[3760] Speed: 77.557239 samples/sec accuracy=70.448750 loss=1.199811 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.843750 acc-top5=83.906250 Batch [0099]/[0303]: acc-top1=62.593750 acc-top5=84.250000 Batch [0149]/[0303]: acc-top1=63.625000 acc-top5=84.677083 Batch [0199]/[0303]: acc-top1=64.203125 acc-top5=85.000000 Batch [0249]/[0303]: acc-top1=64.437500 acc-top5=85.225000 Batch [0299]/[0303]: acc-top1=64.333333 acc-top5=85.046875 [Epoch 086] training: accuracy=70.457530 loss=1.199636 [Epoch 086] speed: 69 samples/sec time cost: 3752.739240 [Epoch 086] validation: acc-top1=64.299711 acc-top5=85.045380 loss=1.555606 Epoch[087] Batch [0049]/[3759] Speed: 48.343040 samples/sec accuracy=70.281250 loss=1.183364 lr=0.000100 Epoch[087] Batch [0099]/[3759] Speed: 67.543825 samples/sec accuracy=70.484375 loss=1.190897 lr=0.000100 Epoch[087] Batch [0149]/[3759] Speed: 69.959490 samples/sec accuracy=70.354167 loss=1.185899 lr=0.000100 Epoch[087] Batch [0199]/[3759] Speed: 68.358653 samples/sec accuracy=70.609375 loss=1.179009 lr=0.000100 Epoch[087] Batch [0249]/[3759] Speed: 71.877948 samples/sec accuracy=70.600000 loss=1.182956 lr=0.000100 Epoch[087] Batch [0299]/[3759] Speed: 67.523001 samples/sec accuracy=70.552083 loss=1.179012 lr=0.000100 Epoch[087] Batch [0349]/[3759] Speed: 71.370957 samples/sec accuracy=70.424107 loss=1.182098 lr=0.000100 Epoch[087] Batch [0399]/[3759] Speed: 70.699835 samples/sec accuracy=70.347656 loss=1.188545 lr=0.000100 Epoch[087] Batch [0449]/[3759] Speed: 66.689560 samples/sec accuracy=70.215278 loss=1.195264 lr=0.000100 Epoch[087] Batch [0499]/[3759] Speed: 72.201794 samples/sec accuracy=70.284375 loss=1.194975 lr=0.000100 Epoch[087] Batch [0549]/[3759] Speed: 68.937009 samples/sec accuracy=70.428977 loss=1.190212 lr=0.000100 Epoch[087] Batch [0599]/[3759] Speed: 70.550346 samples/sec accuracy=70.565104 loss=1.183489 lr=0.000100 Epoch[087] Batch [0649]/[3759] Speed: 70.270167 samples/sec accuracy=70.509615 loss=1.186536 lr=0.000100 Epoch[087] Batch [0699]/[3759] Speed: 69.109622 samples/sec accuracy=70.546875 loss=1.185695 lr=0.000100 Epoch[087] Batch [0749]/[3759] Speed: 70.339867 samples/sec accuracy=70.662500 loss=1.184492 lr=0.000100 Epoch[087] Batch [0799]/[3759] Speed: 69.139507 samples/sec accuracy=70.699219 loss=1.182406 lr=0.000100 Epoch[087] Batch [0849]/[3759] Speed: 69.568683 samples/sec accuracy=70.628676 loss=1.185716 lr=0.000100 Epoch[087] Batch [0899]/[3759] Speed: 70.200236 samples/sec accuracy=70.569444 loss=1.187083 lr=0.000100 Epoch[087] 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accuracy=70.466518 loss=1.194314 lr=0.000100 Epoch[087] Batch [1449]/[3759] Speed: 69.938667 samples/sec accuracy=70.448276 loss=1.194870 lr=0.000100 Epoch[087] Batch [1499]/[3759] Speed: 70.676204 samples/sec accuracy=70.501042 loss=1.193329 lr=0.000100 Epoch[087] Batch [1549]/[3759] Speed: 69.048032 samples/sec accuracy=70.533266 loss=1.192572 lr=0.000100 Epoch[087] Batch [1599]/[3759] Speed: 69.303788 samples/sec accuracy=70.502930 loss=1.193545 lr=0.000100 Epoch[087] Batch [1649]/[3759] Speed: 70.319743 samples/sec accuracy=70.525568 loss=1.192125 lr=0.000100 Epoch[087] Batch [1699]/[3759] Speed: 68.921981 samples/sec accuracy=70.556985 loss=1.191666 lr=0.000100 Epoch[087] Batch [1749]/[3759] Speed: 70.532556 samples/sec accuracy=70.571429 loss=1.191372 lr=0.000100 Epoch[087] Batch [1799]/[3759] Speed: 70.049647 samples/sec accuracy=70.554688 loss=1.192026 lr=0.000100 Epoch[087] Batch [1849]/[3759] Speed: 69.982746 samples/sec accuracy=70.576858 loss=1.192455 lr=0.000100 Epoch[087] 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accuracy=70.642952 loss=1.190866 lr=0.000100 Epoch[087] Batch [2399]/[3759] Speed: 69.795091 samples/sec accuracy=70.667318 loss=1.189869 lr=0.000100 Epoch[087] Batch [2449]/[3759] Speed: 70.313162 samples/sec accuracy=70.670918 loss=1.189276 lr=0.000100 Epoch[087] Batch [2499]/[3759] Speed: 69.978924 samples/sec accuracy=70.638125 loss=1.190258 lr=0.000100 Epoch[087] Batch [2549]/[3759] Speed: 69.995168 samples/sec accuracy=70.635417 loss=1.190449 lr=0.000100 Epoch[087] Batch [2599]/[3759] Speed: 69.080796 samples/sec accuracy=70.638221 loss=1.190016 lr=0.000100 Epoch[087] Batch [2649]/[3759] Speed: 66.711098 samples/sec accuracy=70.686910 loss=1.188255 lr=0.000100 Epoch[087] Batch [2699]/[3759] Speed: 71.962364 samples/sec accuracy=70.689236 loss=1.188366 lr=0.000100 Epoch[087] Batch [2749]/[3759] Speed: 71.005736 samples/sec accuracy=70.700000 loss=1.187965 lr=0.000100 Epoch[087] Batch [2799]/[3759] Speed: 69.794049 samples/sec accuracy=70.676339 loss=1.188918 lr=0.000100 Epoch[087] 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accuracy=70.614110 loss=1.190400 lr=0.000100 Epoch[087] Batch [3349]/[3759] Speed: 70.808580 samples/sec accuracy=70.595616 loss=1.190612 lr=0.000100 Epoch[087] Batch [3399]/[3759] Speed: 67.548191 samples/sec accuracy=70.589154 loss=1.190674 lr=0.000100 Epoch[087] Batch [3449]/[3759] Speed: 71.059507 samples/sec accuracy=70.586957 loss=1.189951 lr=0.000100 Epoch[087] Batch [3499]/[3759] Speed: 69.904963 samples/sec accuracy=70.570089 loss=1.190390 lr=0.000100 Epoch[087] Batch [3549]/[3759] Speed: 67.510168 samples/sec accuracy=70.572183 loss=1.190281 lr=0.000100 Epoch[087] Batch [3599]/[3759] Speed: 71.879480 samples/sec accuracy=70.585069 loss=1.189756 lr=0.000100 Epoch[087] Batch [3649]/[3759] Speed: 69.087954 samples/sec accuracy=70.579623 loss=1.189712 lr=0.000100 Epoch[087] Batch [3699]/[3759] Speed: 70.749921 samples/sec accuracy=70.571368 loss=1.190119 lr=0.000100 Epoch[087] Batch [3749]/[3759] Speed: 78.434942 samples/sec accuracy=70.577917 loss=1.189920 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.812500 acc-top5=84.375000 Batch [0099]/[0303]: acc-top1=62.921875 acc-top5=84.500000 Batch [0149]/[0303]: acc-top1=63.875000 acc-top5=84.906250 Batch [0199]/[0303]: acc-top1=64.320312 acc-top5=85.195312 Batch [0249]/[0303]: acc-top1=64.525000 acc-top5=85.368750 Batch [0299]/[0303]: acc-top1=64.328125 acc-top5=85.197917 [Epoch 087] training: accuracy=70.581438 loss=1.189735 [Epoch 087] speed: 69 samples/sec time cost: 3747.545294 [Epoch 087] validation: acc-top1=64.304868 acc-top5=85.200083 loss=1.551887 Epoch[088] Batch [0049]/[3760] Speed: 48.199429 samples/sec accuracy=69.062500 loss=1.251704 lr=0.000100 Epoch[088] Batch [0099]/[3760] Speed: 69.401103 samples/sec accuracy=69.703125 loss=1.216190 lr=0.000100 Epoch[088] Batch [0149]/[3760] Speed: 67.536231 samples/sec accuracy=69.906250 loss=1.208041 lr=0.000100 Epoch[088] Batch [0199]/[3760] Speed: 68.757982 samples/sec accuracy=69.898438 loss=1.205029 lr=0.000100 Epoch[088] Batch [0249]/[3760] Speed: 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lr=0.000100 Epoch[088] Batch [1699]/[3760] Speed: 67.839803 samples/sec accuracy=70.242647 loss=1.201130 lr=0.000100 Epoch[088] Batch [1749]/[3760] Speed: 69.722472 samples/sec accuracy=70.260714 loss=1.200673 lr=0.000100 Epoch[088] Batch [1799]/[3760] Speed: 70.470191 samples/sec accuracy=70.271701 loss=1.200420 lr=0.000100 Epoch[088] Batch [1849]/[3760] Speed: 69.269015 samples/sec accuracy=70.266047 loss=1.200560 lr=0.000100 Epoch[088] Batch [1899]/[3760] Speed: 66.795709 samples/sec accuracy=70.263158 loss=1.200778 lr=0.000100 Epoch[088] Batch [1949]/[3760] Speed: 71.492083 samples/sec accuracy=70.275641 loss=1.200352 lr=0.000100 Epoch[088] Batch [1999]/[3760] Speed: 66.639728 samples/sec accuracy=70.289062 loss=1.200665 lr=0.000100 Epoch[088] Batch [2049]/[3760] Speed: 71.548616 samples/sec accuracy=70.301067 loss=1.200419 lr=0.000100 Epoch[088] Batch [2099]/[3760] Speed: 70.624130 samples/sec accuracy=70.313244 loss=1.200859 lr=0.000100 Epoch[088] Batch [2149]/[3760] Speed: 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lr=0.000100 Epoch[088] Batch [2649]/[3760] Speed: 70.340696 samples/sec accuracy=70.395047 loss=1.199406 lr=0.000100 Epoch[088] Batch [2699]/[3760] Speed: 69.618834 samples/sec accuracy=70.388889 loss=1.199648 lr=0.000100 Epoch[088] Batch [2749]/[3760] Speed: 70.055784 samples/sec accuracy=70.413636 loss=1.198252 lr=0.000100 Epoch[088] Batch [2799]/[3760] Speed: 69.577881 samples/sec accuracy=70.417969 loss=1.198342 lr=0.000100 Epoch[088] Batch [2849]/[3760] Speed: 70.538494 samples/sec accuracy=70.424342 loss=1.197853 lr=0.000100 Epoch[088] Batch [2899]/[3760] Speed: 66.077996 samples/sec accuracy=70.445582 loss=1.196856 lr=0.000100 Epoch[088] Batch [2949]/[3760] Speed: 72.842687 samples/sec accuracy=70.461335 loss=1.196077 lr=0.000100 Epoch[088] Batch [2999]/[3760] Speed: 68.781546 samples/sec accuracy=70.449479 loss=1.195896 lr=0.000100 Epoch[088] Batch [3049]/[3760] Speed: 69.759285 samples/sec accuracy=70.458504 loss=1.195505 lr=0.000100 Epoch[088] Batch [3099]/[3760] Speed: 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lr=0.000100 Epoch[088] Batch [3599]/[3760] Speed: 69.568055 samples/sec accuracy=70.436632 loss=1.196046 lr=0.000100 Epoch[088] Batch [3649]/[3760] Speed: 69.539459 samples/sec accuracy=70.427226 loss=1.196525 lr=0.000100 Epoch[088] Batch [3699]/[3760] Speed: 70.985669 samples/sec accuracy=70.445101 loss=1.195516 lr=0.000100 Epoch[088] Batch [3749]/[3760] Speed: 76.623829 samples/sec accuracy=70.443750 loss=1.195427 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.906250 acc-top5=84.500000 Batch [0099]/[0303]: acc-top1=62.859375 acc-top5=84.328125 Batch [0149]/[0303]: acc-top1=63.895833 acc-top5=84.864583 Batch [0199]/[0303]: acc-top1=64.406250 acc-top5=85.210938 Batch [0249]/[0303]: acc-top1=64.612500 acc-top5=85.381250 Batch [0299]/[0303]: acc-top1=64.380208 acc-top5=85.177083 [Epoch 088] training: accuracy=70.443401 loss=1.195414 [Epoch 088] speed: 69 samples/sec time cost: 3752.794502 [Epoch 088] validation: acc-top1=64.366749 acc-top5=85.153672 loss=1.552372 Epoch[089] Batch 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accuracy=70.750000 loss=1.176998 lr=0.000100 Epoch[089] Batch [0549]/[3760] Speed: 70.347000 samples/sec accuracy=70.556818 loss=1.184554 lr=0.000100 Epoch[089] Batch [0599]/[3760] Speed: 70.341780 samples/sec accuracy=70.669271 loss=1.182790 lr=0.000100 Epoch[089] Batch [0649]/[3760] Speed: 69.697603 samples/sec accuracy=70.670673 loss=1.182287 lr=0.000100 Epoch[089] Batch [0699]/[3760] Speed: 69.022060 samples/sec accuracy=70.689732 loss=1.181731 lr=0.000100 Epoch[089] Batch [0749]/[3760] Speed: 69.757917 samples/sec accuracy=70.631250 loss=1.181587 lr=0.000100 Epoch[089] Batch [0799]/[3760] Speed: 69.911582 samples/sec accuracy=70.617188 loss=1.183578 lr=0.000100 Epoch[089] Batch [0849]/[3760] Speed: 70.966763 samples/sec accuracy=70.623162 loss=1.182126 lr=0.000100 Epoch[089] Batch [0899]/[3760] Speed: 67.076107 samples/sec accuracy=70.690972 loss=1.181588 lr=0.000100 Epoch[089] Batch [0949]/[3760] Speed: 69.072440 samples/sec accuracy=70.669408 loss=1.181994 lr=0.000100 Epoch[089] 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accuracy=70.647629 loss=1.186156 lr=0.000100 Epoch[089] Batch [1499]/[3760] Speed: 69.205422 samples/sec accuracy=70.643750 loss=1.186366 lr=0.000100 Epoch[089] Batch [1549]/[3760] Speed: 70.248665 samples/sec accuracy=70.666331 loss=1.185139 lr=0.000100 Epoch[089] Batch [1599]/[3760] Speed: 67.066427 samples/sec accuracy=70.709961 loss=1.184252 lr=0.000100 Epoch[089] Batch [1649]/[3760] Speed: 71.165570 samples/sec accuracy=70.703598 loss=1.184879 lr=0.000100 Epoch[089] Batch [1699]/[3760] Speed: 71.331168 samples/sec accuracy=70.720588 loss=1.183980 lr=0.000100 Epoch[089] Batch [1749]/[3760] Speed: 68.934141 samples/sec accuracy=70.711607 loss=1.184125 lr=0.000100 Epoch[089] Batch [1799]/[3760] Speed: 68.034941 samples/sec accuracy=70.678819 loss=1.185300 lr=0.000100 Epoch[089] Batch [1849]/[3760] Speed: 71.558210 samples/sec accuracy=70.673142 loss=1.184940 lr=0.000100 Epoch[089] Batch [1899]/[3760] Speed: 69.441499 samples/sec accuracy=70.646382 loss=1.186095 lr=0.000100 Epoch[089] 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accuracy=70.612630 loss=1.187142 lr=0.000100 Epoch[089] Batch [2449]/[3760] Speed: 67.813215 samples/sec accuracy=70.618622 loss=1.186608 lr=0.000100 Epoch[089] Batch [2499]/[3760] Speed: 71.069923 samples/sec accuracy=70.626875 loss=1.186724 lr=0.000100 Epoch[089] Batch [2549]/[3760] Speed: 69.120956 samples/sec accuracy=70.593750 loss=1.187949 lr=0.000100 Epoch[089] Batch [2599]/[3760] Speed: 69.764967 samples/sec accuracy=70.576923 loss=1.188498 lr=0.000100 Epoch[089] Batch [2649]/[3760] Speed: 70.596358 samples/sec accuracy=70.599057 loss=1.187418 lr=0.000100 Epoch[089] Batch [2699]/[3760] Speed: 70.679152 samples/sec accuracy=70.612269 loss=1.187311 lr=0.000100 Epoch[089] Batch [2749]/[3760] Speed: 69.480288 samples/sec accuracy=70.618182 loss=1.187340 lr=0.000100 Epoch[089] Batch [2799]/[3760] Speed: 69.570247 samples/sec accuracy=70.606585 loss=1.187344 lr=0.000100 Epoch[089] Batch [2849]/[3760] Speed: 67.914805 samples/sec accuracy=70.607456 loss=1.187600 lr=0.000100 Epoch[089] 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accuracy=70.600746 loss=1.189123 lr=0.000100 Epoch[089] Batch [3399]/[3760] Speed: 70.798709 samples/sec accuracy=70.611213 loss=1.188649 lr=0.000100 Epoch[089] Batch [3449]/[3760] Speed: 70.205664 samples/sec accuracy=70.605072 loss=1.188965 lr=0.000100 Epoch[089] Batch [3499]/[3760] Speed: 68.046067 samples/sec accuracy=70.595982 loss=1.189245 lr=0.000100 Epoch[089] Batch [3549]/[3760] Speed: 70.896695 samples/sec accuracy=70.580546 loss=1.189751 lr=0.000100 Epoch[089] Batch [3599]/[3760] Speed: 69.849979 samples/sec accuracy=70.571181 loss=1.189838 lr=0.000100 Epoch[089] Batch [3649]/[3760] Speed: 69.937573 samples/sec accuracy=70.556935 loss=1.190439 lr=0.000100 Epoch[089] Batch [3699]/[3760] Speed: 69.593437 samples/sec accuracy=70.559544 loss=1.190504 lr=0.000100 Epoch[089] Batch [3749]/[3760] Speed: 77.075636 samples/sec accuracy=70.562083 loss=1.190137 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.937500 acc-top5=83.937500 Batch [0099]/[0303]: acc-top1=62.875000 acc-top5=84.171875 Batch [0149]/[0303]: acc-top1=63.947917 acc-top5=84.531250 Batch [0199]/[0303]: acc-top1=64.328125 acc-top5=84.921875 Batch [0249]/[0303]: acc-top1=64.593750 acc-top5=85.156250 Batch [0299]/[0303]: acc-top1=64.421875 acc-top5=84.968750 [Epoch 089] training: accuracy=70.557680 loss=1.190479 [Epoch 089] speed: 69 samples/sec time cost: 3751.070344 [Epoch 089] validation: acc-top1=64.387376 acc-top5=84.978342 loss=1.561762 Epoch[090] Batch [0049]/[3759] Speed: 49.449888 samples/sec accuracy=70.625000 loss=1.183235 lr=0.000100 Epoch[090] Batch [0099]/[3759] Speed: 67.485512 samples/sec accuracy=70.109375 loss=1.190769 lr=0.000100 Epoch[090] Batch [0149]/[3759] Speed: 70.444743 samples/sec accuracy=70.218750 loss=1.194773 lr=0.000100 Epoch[090] Batch [0199]/[3759] Speed: 70.332929 samples/sec accuracy=70.320312 loss=1.194426 lr=0.000100 Epoch[090] Batch [0249]/[3759] Speed: 68.484987 samples/sec accuracy=70.137500 loss=1.199380 lr=0.000100 Epoch[090] Batch [0299]/[3759] 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loss=1.192588 lr=0.000100 Epoch[090] Batch [0799]/[3759] Speed: 69.184062 samples/sec accuracy=70.462891 loss=1.190523 lr=0.000100 Epoch[090] Batch [0849]/[3759] Speed: 68.208056 samples/sec accuracy=70.529412 loss=1.188035 lr=0.000100 Epoch[090] Batch [0899]/[3759] Speed: 71.715194 samples/sec accuracy=70.588542 loss=1.184543 lr=0.000100 Epoch[090] Batch [0949]/[3759] Speed: 69.471971 samples/sec accuracy=70.526316 loss=1.184491 lr=0.000100 Epoch[090] Batch [0999]/[3759] Speed: 70.530025 samples/sec accuracy=70.576562 loss=1.182574 lr=0.000100 Epoch[090] Batch [1049]/[3759] Speed: 69.597027 samples/sec accuracy=70.549107 loss=1.183059 lr=0.000100 Epoch[090] Batch [1099]/[3759] Speed: 69.169334 samples/sec accuracy=70.468750 loss=1.185712 lr=0.000100 Epoch[090] Batch [1149]/[3759] Speed: 69.278882 samples/sec accuracy=70.478261 loss=1.185745 lr=0.000100 Epoch[090] Batch [1199]/[3759] Speed: 70.378262 samples/sec accuracy=70.497396 loss=1.185247 lr=0.000100 Epoch[090] Batch 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accuracy=70.376838 loss=1.190018 lr=0.000100 Epoch[090] Batch [1749]/[3759] Speed: 70.710606 samples/sec accuracy=70.388393 loss=1.189982 lr=0.000100 Epoch[090] Batch [1799]/[3759] Speed: 66.548410 samples/sec accuracy=70.414062 loss=1.188957 lr=0.000100 Epoch[090] Batch [1849]/[3759] Speed: 72.706331 samples/sec accuracy=70.415541 loss=1.189359 lr=0.000100 Epoch[090] Batch [1899]/[3759] Speed: 69.894513 samples/sec accuracy=70.416118 loss=1.189665 lr=0.000100 Epoch[090] Batch [1949]/[3759] Speed: 70.681885 samples/sec accuracy=70.403045 loss=1.190429 lr=0.000100 Epoch[090] Batch [1999]/[3759] Speed: 68.075677 samples/sec accuracy=70.413281 loss=1.191059 lr=0.000100 Epoch[090] Batch [2049]/[3759] Speed: 69.296460 samples/sec accuracy=70.438262 loss=1.189193 lr=0.000100 Epoch[090] Batch [2099]/[3759] Speed: 70.932979 samples/sec accuracy=70.442708 loss=1.189435 lr=0.000100 Epoch[090] Batch [2149]/[3759] Speed: 70.222863 samples/sec accuracy=70.400436 loss=1.190997 lr=0.000100 Epoch[090] 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accuracy=70.409788 loss=1.190318 lr=0.000100 Epoch[090] Batch [2699]/[3759] Speed: 68.978216 samples/sec accuracy=70.416088 loss=1.190163 lr=0.000100 Epoch[090] Batch [2749]/[3759] Speed: 70.877138 samples/sec accuracy=70.414205 loss=1.190338 lr=0.000100 Epoch[090] Batch [2799]/[3759] Speed: 69.439973 samples/sec accuracy=70.416853 loss=1.189859 lr=0.000100 Epoch[090] Batch [2849]/[3759] Speed: 67.144754 samples/sec accuracy=70.416667 loss=1.190294 lr=0.000100 Epoch[090] Batch [2899]/[3759] Speed: 71.755419 samples/sec accuracy=70.418642 loss=1.190010 lr=0.000100 Epoch[090] Batch [2949]/[3759] Speed: 70.443915 samples/sec accuracy=70.408898 loss=1.190486 lr=0.000100 Epoch[090] Batch [2999]/[3759] Speed: 69.716858 samples/sec accuracy=70.414062 loss=1.189818 lr=0.000100 Epoch[090] Batch [3049]/[3759] Speed: 68.204200 samples/sec accuracy=70.413422 loss=1.190106 lr=0.000100 Epoch[090] Batch [3099]/[3759] Speed: 70.345833 samples/sec accuracy=70.420363 loss=1.190331 lr=0.000100 Epoch[090] Batch [3149]/[3759] Speed: 69.316593 samples/sec accuracy=70.427579 loss=1.190143 lr=0.000100 Epoch[090] Batch [3199]/[3759] Speed: 69.206144 samples/sec accuracy=70.403320 loss=1.190884 lr=0.000100 Epoch[090] Batch [3249]/[3759] Speed: 70.758433 samples/sec accuracy=70.408173 loss=1.191000 lr=0.000100 Epoch[090] Batch [3299]/[3759] Speed: 69.516843 samples/sec accuracy=70.406723 loss=1.190731 lr=0.000100 Epoch[090] Batch [3349]/[3759] Speed: 69.024951 samples/sec accuracy=70.420709 loss=1.190249 lr=0.000100 Epoch[090] Batch [3399]/[3759] Speed: 69.119972 samples/sec accuracy=70.434283 loss=1.189393 lr=0.000100 Epoch[090] Batch [3449]/[3759] Speed: 69.263122 samples/sec accuracy=70.438859 loss=1.189526 lr=0.000100 Epoch[090] Batch [3499]/[3759] Speed: 69.647517 samples/sec accuracy=70.422321 loss=1.190173 lr=0.000100 Epoch[090] Batch [3549]/[3759] Speed: 69.997902 samples/sec accuracy=70.425176 loss=1.190116 lr=0.000100 Epoch[090] Batch [3599]/[3759] Speed: 67.876102 samples/sec accuracy=70.424913 loss=1.189654 lr=0.000100 Epoch[090] Batch [3649]/[3759] Speed: 69.565780 samples/sec accuracy=70.443493 loss=1.189071 lr=0.000100 Epoch[090] Batch [3699]/[3759] Speed: 70.861573 samples/sec accuracy=70.438767 loss=1.189234 lr=0.000100 Epoch[090] Batch [3749]/[3759] Speed: 76.880564 samples/sec accuracy=70.444167 loss=1.189327 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.750000 acc-top5=84.250000 Batch [0099]/[0303]: acc-top1=62.812500 acc-top5=84.250000 Batch [0149]/[0303]: acc-top1=63.895833 acc-top5=84.687500 Batch [0199]/[0303]: acc-top1=64.375000 acc-top5=85.101562 Batch [0249]/[0303]: acc-top1=64.606250 acc-top5=85.293750 Batch [0299]/[0303]: acc-top1=64.432292 acc-top5=85.125000 [Epoch 090] training: accuracy=70.445514 loss=1.189154 [Epoch 090] speed: 69 samples/sec time cost: 3750.459925 [Epoch 090] validation: acc-top1=64.397690 acc-top5=85.127888 loss=1.553392 Epoch[091] Batch [0049]/[3760] Speed: 48.375856 samples/sec accuracy=71.812500 loss=1.135260 lr=0.000100 Epoch[091] Batch [0099]/[3760] Speed: 69.549998 samples/sec accuracy=71.234375 loss=1.154775 lr=0.000100 Epoch[091] Batch [0149]/[3760] Speed: 68.999712 samples/sec accuracy=71.135417 loss=1.164828 lr=0.000100 Epoch[091] Batch [0199]/[3760] Speed: 69.931655 samples/sec accuracy=70.789062 loss=1.177342 lr=0.000100 Epoch[091] Batch [0249]/[3760] Speed: 70.343916 samples/sec accuracy=70.656250 loss=1.171113 lr=0.000100 Epoch[091] Batch [0299]/[3760] Speed: 69.686904 samples/sec accuracy=70.583333 loss=1.168681 lr=0.000100 Epoch[091] Batch [0349]/[3760] Speed: 70.667166 samples/sec accuracy=70.651786 loss=1.167913 lr=0.000100 Epoch[091] Batch [0399]/[3760] Speed: 69.999301 samples/sec accuracy=70.726562 loss=1.163644 lr=0.000100 Epoch[091] Batch [0449]/[3760] Speed: 69.003067 samples/sec accuracy=70.565972 loss=1.172076 lr=0.000100 Epoch[091] Batch [0499]/[3760] Speed: 70.273602 samples/sec accuracy=70.534375 loss=1.172817 lr=0.000100 Epoch[091] Batch [0549]/[3760] Speed: 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lr=0.000100 Epoch[091] Batch [1049]/[3760] Speed: 71.204223 samples/sec accuracy=70.398810 loss=1.184689 lr=0.000100 Epoch[091] Batch [1099]/[3760] Speed: 70.365097 samples/sec accuracy=70.447443 loss=1.184147 lr=0.000100 Epoch[091] Batch [1149]/[3760] Speed: 69.377466 samples/sec accuracy=70.423913 loss=1.185323 lr=0.000100 Epoch[091] Batch [1199]/[3760] Speed: 69.691449 samples/sec accuracy=70.425781 loss=1.185929 lr=0.000100 Epoch[091] Batch [1249]/[3760] Speed: 70.407937 samples/sec accuracy=70.400000 loss=1.186423 lr=0.000100 Epoch[091] Batch [1299]/[3760] Speed: 70.349366 samples/sec accuracy=70.389423 loss=1.186078 lr=0.000100 Epoch[091] Batch [1349]/[3760] Speed: 69.743241 samples/sec accuracy=70.451389 loss=1.185015 lr=0.000100 Epoch[091] Batch [1399]/[3760] Speed: 69.041942 samples/sec accuracy=70.464286 loss=1.184874 lr=0.000100 Epoch[091] Batch [1449]/[3760] Speed: 69.636242 samples/sec accuracy=70.467672 loss=1.184550 lr=0.000100 Epoch[091] Batch [1499]/[3760] Speed: 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lr=0.000100 Epoch[091] Batch [1999]/[3760] Speed: 68.758038 samples/sec accuracy=70.597656 loss=1.180421 lr=0.000100 Epoch[091] Batch [2049]/[3760] Speed: 70.606002 samples/sec accuracy=70.581555 loss=1.179815 lr=0.000100 Epoch[091] Batch [2099]/[3760] Speed: 68.768470 samples/sec accuracy=70.574405 loss=1.180233 lr=0.000100 Epoch[091] Batch [2149]/[3760] Speed: 70.729341 samples/sec accuracy=70.569767 loss=1.180777 lr=0.000100 Epoch[091] Batch [2199]/[3760] Speed: 69.499336 samples/sec accuracy=70.605114 loss=1.180263 lr=0.000100 Epoch[091] Batch [2249]/[3760] Speed: 70.681684 samples/sec accuracy=70.621528 loss=1.179867 lr=0.000100 Epoch[091] Batch [2299]/[3760] Speed: 70.146338 samples/sec accuracy=70.611413 loss=1.181274 lr=0.000100 Epoch[091] Batch [2349]/[3760] Speed: 68.468030 samples/sec accuracy=70.628989 loss=1.180848 lr=0.000100 Epoch[091] Batch [2399]/[3760] Speed: 71.257695 samples/sec accuracy=70.638021 loss=1.180637 lr=0.000100 Epoch[091] Batch [2449]/[3760] Speed: 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lr=0.000100 Epoch[091] Batch [2949]/[3760] Speed: 71.958709 samples/sec accuracy=70.587924 loss=1.185210 lr=0.000100 Epoch[091] Batch [2999]/[3760] Speed: 70.344677 samples/sec accuracy=70.604687 loss=1.184668 lr=0.000100 Epoch[091] Batch [3049]/[3760] Speed: 69.172602 samples/sec accuracy=70.592213 loss=1.184492 lr=0.000100 Epoch[091] Batch [3099]/[3760] Speed: 69.513594 samples/sec accuracy=70.583165 loss=1.184965 lr=0.000100 Epoch[091] Batch [3149]/[3760] Speed: 70.511143 samples/sec accuracy=70.576389 loss=1.185266 lr=0.000100 Epoch[091] Batch [3199]/[3760] Speed: 69.817105 samples/sec accuracy=70.585938 loss=1.185284 lr=0.000100 Epoch[091] Batch [3249]/[3760] Speed: 70.145897 samples/sec accuracy=70.590385 loss=1.185338 lr=0.000100 Epoch[091] Batch [3299]/[3760] Speed: 68.849574 samples/sec accuracy=70.588068 loss=1.185562 lr=0.000100 Epoch[091] Batch [3349]/[3760] Speed: 69.952843 samples/sec accuracy=70.592351 loss=1.185696 lr=0.000100 Epoch[091] Batch [3399]/[3760] Speed: 69.614640 samples/sec accuracy=70.584559 loss=1.186158 lr=0.000100 Epoch[091] Batch [3449]/[3760] Speed: 70.208706 samples/sec accuracy=70.581522 loss=1.186039 lr=0.000100 Epoch[091] Batch [3499]/[3760] Speed: 70.574935 samples/sec accuracy=70.560714 loss=1.186608 lr=0.000100 Epoch[091] Batch [3549]/[3760] Speed: 69.916204 samples/sec accuracy=70.568662 loss=1.186385 lr=0.000100 Epoch[091] Batch [3599]/[3760] Speed: 68.986317 samples/sec accuracy=70.547743 loss=1.187346 lr=0.000100 Epoch[091] Batch [3649]/[3760] Speed: 70.043919 samples/sec accuracy=70.553938 loss=1.187513 lr=0.000100 Epoch[091] Batch [3699]/[3760] Speed: 69.382093 samples/sec accuracy=70.557010 loss=1.187321 lr=0.000100 Epoch[091] Batch [3749]/[3760] Speed: 76.980607 samples/sec accuracy=70.546250 loss=1.187713 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.468750 acc-top5=84.218750 Batch [0099]/[0303]: acc-top1=62.640625 acc-top5=84.343750 Batch [0149]/[0303]: acc-top1=63.656250 acc-top5=84.677083 Batch [0199]/[0303]: acc-top1=64.195312 acc-top5=85.031250 Batch [0249]/[0303]: acc-top1=64.500000 acc-top5=85.268750 Batch [0299]/[0303]: acc-top1=64.348958 acc-top5=85.104167 [Epoch 091] training: accuracy=70.552693 loss=1.187461 [Epoch 091] speed: 69 samples/sec time cost: 3746.240567 [Epoch 091] validation: acc-top1=64.315182 acc-top5=85.107261 loss=1.552106 Epoch[092] Batch [0049]/[3760] Speed: 47.629203 samples/sec accuracy=70.687500 loss=1.177189 lr=0.000100 Epoch[092] Batch [0099]/[3760] Speed: 69.829726 samples/sec accuracy=70.781250 loss=1.184149 lr=0.000100 Epoch[092] Batch [0149]/[3760] Speed: 68.835702 samples/sec accuracy=70.708333 loss=1.182863 lr=0.000100 Epoch[092] Batch [0199]/[3760] Speed: 69.742350 samples/sec accuracy=70.906250 loss=1.173085 lr=0.000100 Epoch[092] Batch [0249]/[3760] Speed: 70.507350 samples/sec accuracy=70.600000 loss=1.180926 lr=0.000100 Epoch[092] Batch [0299]/[3760] Speed: 69.436847 samples/sec accuracy=70.739583 loss=1.179131 lr=0.000100 Epoch[092] Batch 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accuracy=70.691406 loss=1.185596 lr=0.000100 Epoch[092] Batch [0849]/[3760] Speed: 69.962627 samples/sec accuracy=70.654412 loss=1.185341 lr=0.000100 Epoch[092] Batch [0899]/[3760] Speed: 68.184155 samples/sec accuracy=70.642361 loss=1.184559 lr=0.000100 Epoch[092] Batch [0949]/[3760] Speed: 71.286911 samples/sec accuracy=70.674342 loss=1.184319 lr=0.000100 Epoch[092] Batch [0999]/[3760] Speed: 70.622575 samples/sec accuracy=70.685937 loss=1.184574 lr=0.000100 Epoch[092] Batch [1049]/[3760] Speed: 69.384616 samples/sec accuracy=70.705357 loss=1.184353 lr=0.000100 Epoch[092] Batch [1099]/[3760] Speed: 68.189083 samples/sec accuracy=70.708807 loss=1.185773 lr=0.000100 Epoch[092] Batch [1149]/[3760] Speed: 70.129455 samples/sec accuracy=70.706522 loss=1.184763 lr=0.000100 Epoch[092] Batch [1199]/[3760] Speed: 70.279691 samples/sec accuracy=70.720052 loss=1.185236 lr=0.000100 Epoch[092] Batch [1249]/[3760] Speed: 68.882010 samples/sec accuracy=70.738750 loss=1.185023 lr=0.000100 Epoch[092] 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accuracy=70.765179 loss=1.185300 lr=0.000100 Epoch[092] Batch [1799]/[3760] Speed: 67.976428 samples/sec accuracy=70.799479 loss=1.184577 lr=0.000100 Epoch[092] Batch [1849]/[3760] Speed: 69.327079 samples/sec accuracy=70.782939 loss=1.185715 lr=0.000100 Epoch[092] Batch [1899]/[3760] Speed: 68.542258 samples/sec accuracy=70.785362 loss=1.185995 lr=0.000100 Epoch[092] Batch [1949]/[3760] Speed: 68.959786 samples/sec accuracy=70.794071 loss=1.185423 lr=0.000100 Epoch[092] Batch [1999]/[3760] Speed: 71.870925 samples/sec accuracy=70.782813 loss=1.185684 lr=0.000100 Epoch[092] Batch [2049]/[3760] Speed: 67.093462 samples/sec accuracy=70.775152 loss=1.184735 lr=0.000100 Epoch[092] Batch [2099]/[3760] Speed: 71.171235 samples/sec accuracy=70.760417 loss=1.185048 lr=0.000100 Epoch[092] Batch [2149]/[3760] Speed: 71.243733 samples/sec accuracy=70.752907 loss=1.185631 lr=0.000100 Epoch[092] Batch [2199]/[3760] Speed: 67.795609 samples/sec accuracy=70.788352 loss=1.184563 lr=0.000100 Epoch[092] 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accuracy=70.776620 loss=1.184341 lr=0.000100 Epoch[092] Batch [2749]/[3760] Speed: 70.129334 samples/sec accuracy=70.780682 loss=1.184142 lr=0.000100 Epoch[092] Batch [2799]/[3760] Speed: 71.188031 samples/sec accuracy=70.773438 loss=1.184257 lr=0.000100 Epoch[092] Batch [2849]/[3760] Speed: 69.317603 samples/sec accuracy=70.776864 loss=1.183706 lr=0.000100 Epoch[092] Batch [2899]/[3760] Speed: 69.407141 samples/sec accuracy=70.778017 loss=1.183723 lr=0.000100 Epoch[092] Batch [2949]/[3760] Speed: 70.546312 samples/sec accuracy=70.741525 loss=1.185037 lr=0.000100 Epoch[092] Batch [2999]/[3760] Speed: 69.066760 samples/sec accuracy=70.747917 loss=1.185235 lr=0.000100 Epoch[092] Batch [3049]/[3760] Speed: 70.247024 samples/sec accuracy=70.750512 loss=1.185078 lr=0.000100 Epoch[092] Batch [3099]/[3760] Speed: 69.609546 samples/sec accuracy=70.743448 loss=1.184904 lr=0.000100 Epoch[092] Batch [3149]/[3760] Speed: 70.843267 samples/sec accuracy=70.730159 loss=1.185108 lr=0.000100 Epoch[092] Batch [3199]/[3760] Speed: 68.857949 samples/sec accuracy=70.740723 loss=1.184841 lr=0.000100 Epoch[092] Batch [3249]/[3760] Speed: 70.130008 samples/sec accuracy=70.733654 loss=1.184935 lr=0.000100 Epoch[092] Batch [3299]/[3760] Speed: 68.271206 samples/sec accuracy=70.740530 loss=1.184673 lr=0.000100 Epoch[092] Batch [3349]/[3760] Speed: 71.026462 samples/sec accuracy=70.721549 loss=1.185549 lr=0.000100 Epoch[092] Batch [3399]/[3760] Speed: 69.288661 samples/sec accuracy=70.736673 loss=1.184838 lr=0.000100 Epoch[092] Batch [3449]/[3760] Speed: 69.720428 samples/sec accuracy=70.724185 loss=1.185356 lr=0.000100 Epoch[092] Batch [3499]/[3760] Speed: 69.936520 samples/sec accuracy=70.722768 loss=1.185688 lr=0.000100 Epoch[092] Batch [3549]/[3760] Speed: 70.145870 samples/sec accuracy=70.724472 loss=1.185745 lr=0.000100 Epoch[092] Batch [3599]/[3760] Speed: 68.169420 samples/sec accuracy=70.741319 loss=1.185703 lr=0.000100 Epoch[092] Batch [3649]/[3760] Speed: 69.921426 samples/sec accuracy=70.750856 loss=1.185532 lr=0.000100 Epoch[092] Batch [3699]/[3760] Speed: 70.302558 samples/sec accuracy=70.747466 loss=1.185570 lr=0.000100 Epoch[092] Batch [3749]/[3760] Speed: 77.381992 samples/sec accuracy=70.740417 loss=1.185378 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.968750 acc-top5=83.906250 Batch [0099]/[0303]: acc-top1=62.921875 acc-top5=84.281250 Batch [0149]/[0303]: acc-top1=63.979167 acc-top5=84.697917 Batch [0199]/[0303]: acc-top1=64.390625 acc-top5=84.992188 Batch [0249]/[0303]: acc-top1=64.662500 acc-top5=85.212500 Batch [0299]/[0303]: acc-top1=64.463542 acc-top5=85.104167 [Epoch 092] training: accuracy=70.745512 loss=1.185205 [Epoch 092] speed: 69 samples/sec time cost: 3754.950369 [Epoch 092] validation: acc-top1=64.454414 acc-top5=85.117574 loss=1.553254 Epoch[093] Batch [0049]/[3759] Speed: 48.507912 samples/sec accuracy=70.906250 loss=1.173038 lr=0.000100 Epoch[093] Batch [0099]/[3759] Speed: 68.289946 samples/sec accuracy=70.562500 loss=1.178826 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69.281280 samples/sec accuracy=70.753750 loss=1.183413 lr=0.000100 Epoch[093] Batch [2549]/[3759] Speed: 69.984353 samples/sec accuracy=70.750000 loss=1.183308 lr=0.000100 Epoch[093] Batch [2599]/[3759] Speed: 70.095377 samples/sec accuracy=70.778245 loss=1.182127 lr=0.000100 Epoch[093] Batch [2649]/[3759] Speed: 68.572882 samples/sec accuracy=70.784788 loss=1.181822 lr=0.000100 Epoch[093] Batch [2699]/[3759] Speed: 68.624161 samples/sec accuracy=70.774884 loss=1.182385 lr=0.000100 Epoch[093] Batch [2749]/[3759] Speed: 70.940892 samples/sec accuracy=70.769318 loss=1.182480 lr=0.000100 Epoch[093] Batch [2799]/[3759] Speed: 70.072092 samples/sec accuracy=70.783482 loss=1.181945 lr=0.000100 Epoch[093] Batch [2849]/[3759] Speed: 69.916038 samples/sec accuracy=70.763706 loss=1.182125 lr=0.000100 Epoch[093] Batch [2899]/[3759] Speed: 71.026570 samples/sec accuracy=70.779095 loss=1.181640 lr=0.000100 Epoch[093] Batch [2949]/[3759] Speed: 69.248127 samples/sec accuracy=70.767479 loss=1.181652 lr=0.000100 Epoch[093] Batch [2999]/[3759] Speed: 68.667496 samples/sec accuracy=70.732292 loss=1.182831 lr=0.000100 Epoch[093] Batch [3049]/[3759] Speed: 70.894210 samples/sec accuracy=70.735656 loss=1.182871 lr=0.000100 Epoch[093] Batch [3099]/[3759] Speed: 69.203388 samples/sec accuracy=70.742944 loss=1.182870 lr=0.000100 Epoch[093] Batch [3149]/[3759] Speed: 69.069527 samples/sec accuracy=70.750000 loss=1.182477 lr=0.000100 Epoch[093] Batch [3199]/[3759] Speed: 69.826534 samples/sec accuracy=70.739746 loss=1.183193 lr=0.000100 Epoch[093] Batch [3249]/[3759] Speed: 68.715104 samples/sec accuracy=70.740385 loss=1.182509 lr=0.000100 Epoch[093] Batch [3299]/[3759] Speed: 69.552220 samples/sec accuracy=70.757576 loss=1.181854 lr=0.000100 Epoch[093] Batch [3349]/[3759] Speed: 70.543910 samples/sec accuracy=70.747201 loss=1.182224 lr=0.000100 Epoch[093] Batch [3399]/[3759] Speed: 70.796810 samples/sec accuracy=70.751838 loss=1.182066 lr=0.000100 Epoch[093] Batch [3449]/[3759] Speed: 68.904964 samples/sec accuracy=70.751359 loss=1.182143 lr=0.000100 Epoch[093] Batch [3499]/[3759] Speed: 69.032244 samples/sec accuracy=70.749107 loss=1.182124 lr=0.000100 Epoch[093] Batch [3549]/[3759] Speed: 70.556313 samples/sec accuracy=70.744278 loss=1.181964 lr=0.000100 Epoch[093] Batch [3599]/[3759] Speed: 70.778207 samples/sec accuracy=70.740017 loss=1.182180 lr=0.000100 Epoch[093] Batch [3649]/[3759] Speed: 68.562323 samples/sec accuracy=70.723031 loss=1.183176 lr=0.000100 Epoch[093] Batch [3699]/[3759] Speed: 70.642123 samples/sec accuracy=70.730574 loss=1.182877 lr=0.000100 Epoch[093] Batch [3749]/[3759] Speed: 76.663744 samples/sec accuracy=70.720000 loss=1.183411 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.875000 acc-top5=84.312500 Batch [0099]/[0303]: acc-top1=63.000000 acc-top5=84.359375 Batch [0149]/[0303]: acc-top1=63.822917 acc-top5=84.812500 Batch [0199]/[0303]: acc-top1=64.375000 acc-top5=85.164062 Batch [0249]/[0303]: acc-top1=64.687500 acc-top5=85.375000 Batch [0299]/[0303]: acc-top1=64.447917 acc-top5=85.244792 [Epoch 093] training: accuracy=70.716530 loss=1.183289 [Epoch 093] speed: 69 samples/sec time cost: 3748.884131 [Epoch 093] validation: acc-top1=64.413160 acc-top5=85.256807 loss=1.551487 Epoch[094] Batch [0049]/[3760] Speed: 47.520696 samples/sec accuracy=69.531250 loss=1.235594 lr=0.000100 Epoch[094] Batch [0099]/[3760] Speed: 69.429382 samples/sec accuracy=70.187500 loss=1.204253 lr=0.000100 Epoch[094] Batch [0149]/[3760] Speed: 68.278308 samples/sec accuracy=70.281250 loss=1.193896 lr=0.000100 Epoch[094] Batch [0199]/[3760] Speed: 70.323599 samples/sec accuracy=70.156250 loss=1.198126 lr=0.000100 Epoch[094] Batch [0249]/[3760] Speed: 69.067453 samples/sec accuracy=70.437500 loss=1.190714 lr=0.000100 Epoch[094] Batch [0299]/[3760] Speed: 69.338849 samples/sec accuracy=70.265625 loss=1.196999 lr=0.000100 Epoch[094] Batch [0349]/[3760] Speed: 68.858511 samples/sec accuracy=70.308036 loss=1.196629 lr=0.000100 Epoch[094] Batch 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accuracy=70.534926 loss=1.182507 lr=0.000100 Epoch[094] Batch [0899]/[3760] Speed: 72.349166 samples/sec accuracy=70.486111 loss=1.183519 lr=0.000100 Epoch[094] Batch [0949]/[3760] Speed: 69.183516 samples/sec accuracy=70.550987 loss=1.182815 lr=0.000100 Epoch[094] Batch [0999]/[3760] Speed: 70.081972 samples/sec accuracy=70.556250 loss=1.181751 lr=0.000100 Epoch[094] Batch [1049]/[3760] Speed: 69.881639 samples/sec accuracy=70.556548 loss=1.182119 lr=0.000100 Epoch[094] Batch [1099]/[3760] Speed: 65.933112 samples/sec accuracy=70.525568 loss=1.183101 lr=0.000100 Epoch[094] Batch [1149]/[3760] Speed: 72.582839 samples/sec accuracy=70.532609 loss=1.183475 lr=0.000100 Epoch[094] Batch [1199]/[3760] Speed: 70.135978 samples/sec accuracy=70.492188 loss=1.184533 lr=0.000100 Epoch[094] Batch [1249]/[3760] Speed: 68.473306 samples/sec accuracy=70.493750 loss=1.184717 lr=0.000100 Epoch[094] Batch [1299]/[3760] Speed: 71.834298 samples/sec accuracy=70.514423 loss=1.185433 lr=0.000100 Epoch[094] Batch [1349]/[3760] Speed: 70.685649 samples/sec accuracy=70.557870 loss=1.184936 lr=0.000100 Epoch[094] Batch [1399]/[3760] Speed: 66.234207 samples/sec accuracy=70.523438 loss=1.186037 lr=0.000100 Epoch[094] Batch [1449]/[3760] Speed: 71.714291 samples/sec accuracy=70.538793 loss=1.185429 lr=0.000100 Epoch[094] Batch [1499]/[3760] Speed: 65.612396 samples/sec accuracy=70.557292 loss=1.184950 lr=0.000100 Epoch[094] Batch [1549]/[3760] Speed: 73.604337 samples/sec accuracy=70.530242 loss=1.185647 lr=0.000100 Epoch[094] Batch [1599]/[3760] Speed: 70.118386 samples/sec accuracy=70.531250 loss=1.185322 lr=0.000100 Epoch[094] Batch [1649]/[3760] Speed: 70.039955 samples/sec accuracy=70.550189 loss=1.185418 lr=0.000100 Epoch[094] Batch [1699]/[3760] Speed: 68.991830 samples/sec accuracy=70.537684 loss=1.185797 lr=0.000100 Epoch[094] Batch [1749]/[3760] Speed: 69.186644 samples/sec accuracy=70.525893 loss=1.186154 lr=0.000100 Epoch[094] Batch [1799]/[3760] Speed: 66.904519 samples/sec accuracy=70.496528 loss=1.186667 lr=0.000100 Epoch[094] Batch [1849]/[3760] Speed: 72.644856 samples/sec accuracy=70.480574 loss=1.187152 lr=0.000100 Epoch[094] Batch [1899]/[3760] Speed: 70.296896 samples/sec accuracy=70.509046 loss=1.185960 lr=0.000100 Epoch[094] Batch [1949]/[3760] Speed: 67.894778 samples/sec accuracy=70.559295 loss=1.184149 lr=0.000100 Epoch[094] Batch [1999]/[3760] Speed: 70.443950 samples/sec accuracy=70.576562 loss=1.184459 lr=0.000100 Epoch[094] Batch [2049]/[3760] Speed: 68.390450 samples/sec accuracy=70.570884 loss=1.184582 lr=0.000100 Epoch[094] Batch [2099]/[3760] Speed: 70.887182 samples/sec accuracy=70.572173 loss=1.185409 lr=0.000100 Epoch[094] Batch [2149]/[3760] Speed: 68.578557 samples/sec accuracy=70.601744 loss=1.184211 lr=0.000100 Epoch[094] Batch [2199]/[3760] Speed: 70.534678 samples/sec accuracy=70.580966 loss=1.184749 lr=0.000100 Epoch[094] Batch [2249]/[3760] Speed: 69.884721 samples/sec accuracy=70.583333 loss=1.184880 lr=0.000100 Epoch[094] Batch [2299]/[3760] Speed: 70.870416 samples/sec accuracy=70.595109 loss=1.184001 lr=0.000100 Epoch[094] Batch [2349]/[3760] Speed: 69.422778 samples/sec accuracy=70.582447 loss=1.183719 lr=0.000100 Epoch[094] Batch [2399]/[3760] Speed: 69.383570 samples/sec accuracy=70.569010 loss=1.183824 lr=0.000100 Epoch[094] Batch [2449]/[3760] Speed: 69.768362 samples/sec accuracy=70.579719 loss=1.183681 lr=0.000100 Epoch[094] Batch [2499]/[3760] Speed: 68.570732 samples/sec accuracy=70.578125 loss=1.183783 lr=0.000100 Epoch[094] Batch [2549]/[3760] Speed: 70.445396 samples/sec accuracy=70.591912 loss=1.183544 lr=0.000100 Epoch[094] Batch [2599]/[3760] Speed: 69.802858 samples/sec accuracy=70.592548 loss=1.182980 lr=0.000100 Epoch[094] Batch [2649]/[3760] Speed: 68.487678 samples/sec accuracy=70.603184 loss=1.182832 lr=0.000100 Epoch[094] Batch [2699]/[3760] Speed: 69.878074 samples/sec accuracy=70.619213 loss=1.181740 lr=0.000100 Epoch[094] Batch [2749]/[3760] Speed: 71.528707 samples/sec accuracy=70.642045 loss=1.180914 lr=0.000100 Epoch[094] Batch [2799]/[3760] Speed: 69.614003 samples/sec accuracy=70.636161 loss=1.181134 lr=0.000100 Epoch[094] Batch [2849]/[3760] Speed: 69.868510 samples/sec accuracy=70.646382 loss=1.180491 lr=0.000100 Epoch[094] Batch [2899]/[3760] Speed: 68.293710 samples/sec accuracy=70.647629 loss=1.179605 lr=0.000100 Epoch[094] Batch [2949]/[3760] Speed: 70.336534 samples/sec accuracy=70.642479 loss=1.180576 lr=0.000100 Epoch[094] Batch [2999]/[3760] Speed: 70.119395 samples/sec accuracy=70.662500 loss=1.179891 lr=0.000100 Epoch[094] Batch [3049]/[3760] Speed: 65.412396 samples/sec accuracy=70.667008 loss=1.180047 lr=0.000100 Epoch[094] Batch [3099]/[3760] Speed: 72.268239 samples/sec accuracy=70.668851 loss=1.180138 lr=0.000100 Epoch[094] Batch [3149]/[3760] Speed: 69.664247 samples/sec accuracy=70.679563 loss=1.180292 lr=0.000100 Epoch[094] Batch [3199]/[3760] Speed: 70.391664 samples/sec accuracy=70.659668 loss=1.181047 lr=0.000100 Epoch[094] Batch [3249]/[3760] Speed: 70.189722 samples/sec accuracy=70.675000 loss=1.180382 lr=0.000100 Epoch[094] Batch [3299]/[3760] Speed: 67.945038 samples/sec accuracy=70.666193 loss=1.180729 lr=0.000100 Epoch[094] Batch [3349]/[3760] Speed: 70.391069 samples/sec accuracy=70.662313 loss=1.181010 lr=0.000100 Epoch[094] Batch [3399]/[3760] Speed: 69.849198 samples/sec accuracy=70.651654 loss=1.181836 lr=0.000100 Epoch[094] Batch [3449]/[3760] Speed: 70.599424 samples/sec accuracy=70.665761 loss=1.181273 lr=0.000100 Epoch[094] Batch [3499]/[3760] Speed: 69.037504 samples/sec accuracy=70.672768 loss=1.181454 lr=0.000100 Epoch[094] Batch [3549]/[3760] Speed: 69.480228 samples/sec accuracy=70.672535 loss=1.181654 lr=0.000100 Epoch[094] Batch [3599]/[3760] Speed: 69.538172 samples/sec accuracy=70.658420 loss=1.182382 lr=0.000100 Epoch[094] Batch [3649]/[3760] Speed: 70.223806 samples/sec accuracy=70.666096 loss=1.181942 lr=0.000100 Epoch[094] Batch [3699]/[3760] Speed: 70.330887 samples/sec accuracy=70.654561 loss=1.182205 lr=0.000100 Epoch[094] Batch [3749]/[3760] Speed: 76.529655 samples/sec accuracy=70.651250 loss=1.182518 lr=0.000100 Batch [0049]/[0303]: acc-top1=63.125000 acc-top5=84.125000 Batch [0099]/[0303]: acc-top1=63.125000 acc-top5=84.140625 Batch [0149]/[0303]: acc-top1=64.031250 acc-top5=84.489583 Batch [0199]/[0303]: acc-top1=64.531250 acc-top5=84.882812 Batch [0249]/[0303]: acc-top1=64.775000 acc-top5=85.156250 Batch [0299]/[0303]: acc-top1=64.562500 acc-top5=85.010417 [Epoch 094] training: accuracy=70.648687 loss=1.182540 [Epoch 094] speed: 69 samples/sec time cost: 3756.542732 [Epoch 094] validation: acc-top1=64.536922 acc-top5=85.035066 loss=1.552938 Epoch[095] Batch [0049]/[3760] Speed: 48.988006 samples/sec accuracy=71.343750 loss=1.167556 lr=0.000100 Epoch[095] Batch [0099]/[3760] Speed: 67.652907 samples/sec accuracy=71.140625 loss=1.177008 lr=0.000100 Epoch[095] Batch [0149]/[3760] Speed: 69.191464 samples/sec accuracy=70.552083 loss=1.187252 lr=0.000100 Epoch[095] Batch [0199]/[3760] Speed: 68.269056 samples/sec accuracy=70.468750 loss=1.200061 lr=0.000100 Epoch[095] Batch [0249]/[3760] Speed: 71.068260 samples/sec accuracy=70.550000 loss=1.196774 lr=0.000100 Epoch[095] Batch [0299]/[3760] Speed: 69.606968 samples/sec accuracy=70.432292 loss=1.199967 lr=0.000100 Epoch[095] Batch [0349]/[3760] Speed: 70.387466 samples/sec accuracy=70.602679 loss=1.192284 lr=0.000100 Epoch[095] Batch [0399]/[3760] Speed: 67.460416 samples/sec accuracy=70.632812 loss=1.190305 lr=0.000100 Epoch[095] Batch [0449]/[3760] Speed: 70.756084 samples/sec accuracy=70.753472 loss=1.182046 lr=0.000100 Epoch[095] Batch [0499]/[3760] Speed: 70.722697 samples/sec accuracy=70.715625 loss=1.182306 lr=0.000100 Epoch[095] Batch [0549]/[3760] Speed: 68.587374 samples/sec accuracy=70.653409 loss=1.182808 lr=0.000100 Epoch[095] Batch [0599]/[3760] Speed: 71.237953 samples/sec accuracy=70.614583 loss=1.184199 lr=0.000100 Epoch[095] Batch [0649]/[3760] Speed: 68.263630 samples/sec accuracy=70.584135 loss=1.186579 lr=0.000100 Epoch[095] Batch [0699]/[3760] Speed: 67.968061 samples/sec accuracy=70.647321 loss=1.184819 lr=0.000100 Epoch[095] Batch [0749]/[3760] Speed: 69.324402 samples/sec accuracy=70.647917 loss=1.185922 lr=0.000100 Epoch[095] Batch [0799]/[3760] Speed: 70.638513 samples/sec accuracy=70.667969 loss=1.184151 lr=0.000100 Epoch[095] Batch [0849]/[3760] Speed: 66.045453 samples/sec accuracy=70.724265 loss=1.181866 lr=0.000100 Epoch[095] Batch [0899]/[3760] Speed: 72.987333 samples/sec accuracy=70.699653 loss=1.181964 lr=0.000100 Epoch[095] Batch [0949]/[3760] Speed: 70.160706 samples/sec accuracy=70.664474 loss=1.182828 lr=0.000100 Epoch[095] Batch [0999]/[3760] Speed: 69.593808 samples/sec accuracy=70.690625 loss=1.183165 lr=0.000100 Epoch[095] Batch [1049]/[3760] Speed: 69.109435 samples/sec accuracy=70.711310 loss=1.182499 lr=0.000100 Epoch[095] Batch [1099]/[3760] Speed: 69.316436 samples/sec accuracy=70.710227 loss=1.182524 lr=0.000100 Epoch[095] Batch [1149]/[3760] Speed: 69.233789 samples/sec accuracy=70.623641 loss=1.186099 lr=0.000100 Epoch[095] Batch [1199]/[3760] Speed: 69.168310 samples/sec accuracy=70.579427 loss=1.187542 lr=0.000100 Epoch[095] Batch [1249]/[3760] Speed: 71.215155 samples/sec accuracy=70.596250 loss=1.188505 lr=0.000100 Epoch[095] Batch [1299]/[3760] Speed: 69.169568 samples/sec accuracy=70.575721 loss=1.190134 lr=0.000100 Epoch[095] Batch [1349]/[3760] Speed: 68.829570 samples/sec accuracy=70.584491 loss=1.189545 lr=0.000100 Epoch[095] Batch [1399]/[3760] Speed: 68.985126 samples/sec accuracy=70.579241 loss=1.189205 lr=0.000100 Epoch[095] Batch [1449]/[3760] Speed: 70.044813 samples/sec accuracy=70.549569 loss=1.190182 lr=0.000100 Epoch[095] Batch [1499]/[3760] Speed: 70.526920 samples/sec accuracy=70.567708 loss=1.189449 lr=0.000100 Epoch[095] Batch [1549]/[3760] Speed: 69.165066 samples/sec accuracy=70.588710 loss=1.188915 lr=0.000100 Epoch[095] Batch [1599]/[3760] Speed: 69.703854 samples/sec accuracy=70.614258 loss=1.188563 lr=0.000100 Epoch[095] Batch [1649]/[3760] Speed: 69.951098 samples/sec accuracy=70.615530 loss=1.189574 lr=0.000100 Epoch[095] Batch [1699]/[3760] Speed: 68.110630 samples/sec accuracy=70.630515 loss=1.189141 lr=0.000100 Epoch[095] Batch [1749]/[3760] Speed: 69.141787 samples/sec accuracy=70.650893 loss=1.187883 lr=0.000100 Epoch[095] Batch [1799]/[3760] Speed: 68.741542 samples/sec accuracy=70.633681 loss=1.188274 lr=0.000100 Epoch[095] Batch [1849]/[3760] Speed: 71.577410 samples/sec accuracy=70.636824 loss=1.188849 lr=0.000100 Epoch[095] Batch [1899]/[3760] Speed: 69.941773 samples/sec accuracy=70.642270 loss=1.188451 lr=0.000100 Epoch[095] Batch [1949]/[3760] Speed: 67.416145 samples/sec accuracy=70.626603 loss=1.189163 lr=0.000100 Epoch[095] Batch [1999]/[3760] Speed: 70.402135 samples/sec accuracy=70.590625 loss=1.189558 lr=0.000100 Epoch[095] Batch [2049]/[3760] Speed: 70.679108 samples/sec accuracy=70.589177 loss=1.189306 lr=0.000100 Epoch[095] Batch [2099]/[3760] Speed: 71.015573 samples/sec accuracy=70.601190 loss=1.189191 lr=0.000100 Epoch[095] Batch [2149]/[3760] Speed: 66.190783 samples/sec accuracy=70.609012 loss=1.189015 lr=0.000100 Epoch[095] Batch [2199]/[3760] Speed: 72.969805 samples/sec accuracy=70.584517 loss=1.189853 lr=0.000100 Epoch[095] Batch [2249]/[3760] Speed: 69.140448 samples/sec accuracy=70.595833 loss=1.189176 lr=0.000100 Epoch[095] Batch [2299]/[3760] Speed: 69.307277 samples/sec accuracy=70.582880 loss=1.189571 lr=0.000100 Epoch[095] Batch [2349]/[3760] Speed: 69.245603 samples/sec accuracy=70.579122 loss=1.189092 lr=0.000100 Epoch[095] Batch [2399]/[3760] Speed: 69.943609 samples/sec accuracy=70.596354 loss=1.187989 lr=0.000100 Epoch[095] Batch [2449]/[3760] Speed: 70.317200 samples/sec accuracy=70.588010 loss=1.187747 lr=0.000100 Epoch[095] Batch [2499]/[3760] Speed: 69.015775 samples/sec accuracy=70.569375 loss=1.188607 lr=0.000100 Epoch[095] Batch [2549]/[3760] Speed: 69.751053 samples/sec accuracy=70.570466 loss=1.187987 lr=0.000100 Epoch[095] Batch [2599]/[3760] Speed: 68.657746 samples/sec accuracy=70.595553 loss=1.187514 lr=0.000100 Epoch[095] Batch [2649]/[3760] Speed: 68.984925 samples/sec accuracy=70.616745 loss=1.186444 lr=0.000100 Epoch[095] Batch [2699]/[3760] Speed: 71.292895 samples/sec accuracy=70.593750 loss=1.187210 lr=0.000100 Epoch[095] Batch [2749]/[3760] Speed: 68.225379 samples/sec accuracy=70.598295 loss=1.187123 lr=0.000100 Epoch[095] Batch [2799]/[3760] Speed: 70.728381 samples/sec accuracy=70.618862 loss=1.186297 lr=0.000100 Epoch[095] Batch [2849]/[3760] Speed: 70.617295 samples/sec accuracy=70.598136 loss=1.186477 lr=0.000100 Epoch[095] Batch [2899]/[3760] Speed: 70.186538 samples/sec accuracy=70.585668 loss=1.186783 lr=0.000100 Epoch[095] Batch [2949]/[3760] Speed: 68.082714 samples/sec accuracy=70.582097 loss=1.187106 lr=0.000100 Epoch[095] Batch [2999]/[3760] Speed: 68.591128 samples/sec accuracy=70.586979 loss=1.186988 lr=0.000100 Epoch[095] Batch [3049]/[3760] Speed: 71.370147 samples/sec accuracy=70.609119 loss=1.186604 lr=0.000100 Epoch[095] Batch [3099]/[3760] Speed: 70.313618 samples/sec accuracy=70.621976 loss=1.186316 lr=0.000100 Epoch[095] Batch [3149]/[3760] Speed: 69.223308 samples/sec accuracy=70.613095 loss=1.186436 lr=0.000100 Epoch[095] Batch [3199]/[3760] Speed: 69.726618 samples/sec accuracy=70.614746 loss=1.186748 lr=0.000100 Epoch[095] Batch [3249]/[3760] Speed: 70.403388 samples/sec accuracy=70.607692 loss=1.186726 lr=0.000100 Epoch[095] Batch [3299]/[3760] Speed: 68.621789 samples/sec accuracy=70.625473 loss=1.186355 lr=0.000100 Epoch[095] Batch [3349]/[3760] Speed: 70.207909 samples/sec accuracy=70.614739 loss=1.186471 lr=0.000100 Epoch[095] Batch [3399]/[3760] Speed: 69.252231 samples/sec accuracy=70.608456 loss=1.186001 lr=0.000100 Epoch[095] Batch [3449]/[3760] Speed: 68.778591 samples/sec accuracy=70.613678 loss=1.185660 lr=0.000100 Epoch[095] Batch [3499]/[3760] Speed: 71.352881 samples/sec accuracy=70.590625 loss=1.186050 lr=0.000100 Epoch[095] Batch [3549]/[3760] Speed: 70.472631 samples/sec accuracy=70.611796 loss=1.185599 lr=0.000100 Epoch[095] Batch [3599]/[3760] Speed: 71.046294 samples/sec accuracy=70.606337 loss=1.185333 lr=0.000100 Epoch[095] Batch [3649]/[3760] Speed: 68.006790 samples/sec accuracy=70.608733 loss=1.185172 lr=0.000100 Epoch[095] Batch [3699]/[3760] Speed: 70.663539 samples/sec accuracy=70.596706 loss=1.185191 lr=0.000100 Epoch[095] Batch [3749]/[3760] Speed: 76.956306 samples/sec accuracy=70.595833 loss=1.185742 lr=0.000100 Batch [0049]/[0303]: acc-top1=63.093750 acc-top5=84.062500 Batch [0099]/[0303]: acc-top1=63.156250 acc-top5=84.171875 Batch [0149]/[0303]: acc-top1=64.062500 acc-top5=84.437500 Batch [0199]/[0303]: acc-top1=64.648438 acc-top5=84.812500 Batch [0249]/[0303]: acc-top1=64.793750 acc-top5=85.081250 Batch [0299]/[0303]: acc-top1=64.609375 acc-top5=84.994792 [Epoch 095] training: accuracy=70.604222 loss=1.185582 [Epoch 095] speed: 69 samples/sec time cost: 3756.270957 [Epoch 095] validation: acc-top1=64.557550 acc-top5=85.014439 loss=1.552830 Epoch[096] Batch [0049]/[3759] Speed: 48.144405 samples/sec accuracy=71.281250 loss=1.156657 lr=0.000100 Epoch[096] Batch [0099]/[3759] Speed: 68.825863 samples/sec accuracy=71.421875 loss=1.149091 lr=0.000100 Epoch[096] Batch [0149]/[3759] Speed: 70.262905 samples/sec accuracy=71.406250 loss=1.144474 lr=0.000100 Epoch[096] Batch [0199]/[3759] Speed: 69.823430 samples/sec accuracy=71.304688 loss=1.152259 lr=0.000100 Epoch[096] Batch [0249]/[3759] Speed: 69.568303 samples/sec accuracy=71.018750 loss=1.165920 lr=0.000100 Epoch[096] Batch [0299]/[3759] Speed: 70.820142 samples/sec accuracy=70.911458 loss=1.169480 lr=0.000100 Epoch[096] Batch [0349]/[3759] Speed: 68.261834 samples/sec accuracy=71.017857 loss=1.170370 lr=0.000100 Epoch[096] Batch [0399]/[3759] Speed: 70.568672 samples/sec accuracy=70.957031 loss=1.174109 lr=0.000100 Epoch[096] Batch 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accuracy=70.758681 loss=1.179240 lr=0.000100 Epoch[096] Batch [0949]/[3759] Speed: 71.209443 samples/sec accuracy=70.773026 loss=1.179694 lr=0.000100 Epoch[096] Batch [0999]/[3759] Speed: 70.198732 samples/sec accuracy=70.779687 loss=1.178286 lr=0.000100 Epoch[096] Batch [1049]/[3759] Speed: 70.404989 samples/sec accuracy=70.776786 loss=1.177480 lr=0.000100 Epoch[096] Batch [1099]/[3759] Speed: 68.974429 samples/sec accuracy=70.803977 loss=1.177983 lr=0.000100 Epoch[096] Batch [1149]/[3759] Speed: 70.170471 samples/sec accuracy=70.789402 loss=1.178454 lr=0.000100 Epoch[096] Batch [1199]/[3759] Speed: 69.873901 samples/sec accuracy=70.752604 loss=1.179051 lr=0.000100 Epoch[096] Batch [1249]/[3759] Speed: 70.423504 samples/sec accuracy=70.757500 loss=1.179823 lr=0.000100 Epoch[096] Batch [1299]/[3759] Speed: 69.989669 samples/sec accuracy=70.719952 loss=1.181499 lr=0.000100 Epoch[096] Batch [1349]/[3759] Speed: 68.998057 samples/sec accuracy=70.714120 loss=1.180382 lr=0.000100 Epoch[096] 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accuracy=70.766892 loss=1.176613 lr=0.000100 Epoch[096] Batch [1899]/[3759] Speed: 69.265402 samples/sec accuracy=70.725329 loss=1.177258 lr=0.000100 Epoch[096] Batch [1949]/[3759] Speed: 70.921692 samples/sec accuracy=70.717949 loss=1.178163 lr=0.000100 Epoch[096] Batch [1999]/[3759] Speed: 69.875901 samples/sec accuracy=70.708594 loss=1.177766 lr=0.000100 Epoch[096] Batch [2049]/[3759] Speed: 69.819970 samples/sec accuracy=70.721799 loss=1.177742 lr=0.000100 Epoch[096] Batch [2099]/[3759] Speed: 68.581174 samples/sec accuracy=70.704613 loss=1.177958 lr=0.000100 Epoch[096] Batch [2149]/[3759] Speed: 70.536175 samples/sec accuracy=70.723837 loss=1.177584 lr=0.000100 Epoch[096] Batch [2199]/[3759] Speed: 68.212726 samples/sec accuracy=70.718750 loss=1.177865 lr=0.000100 Epoch[096] Batch [2249]/[3759] Speed: 70.010785 samples/sec accuracy=70.736111 loss=1.177672 lr=0.000100 Epoch[096] Batch [2299]/[3759] Speed: 70.172376 samples/sec accuracy=70.707201 loss=1.178420 lr=0.000100 Epoch[096] 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accuracy=70.695312 loss=1.177165 lr=0.000100 Epoch[096] Batch [2849]/[3759] Speed: 70.282707 samples/sec accuracy=70.696272 loss=1.177136 lr=0.000100 Epoch[096] Batch [2899]/[3759] Speed: 69.120867 samples/sec accuracy=70.684267 loss=1.177873 lr=0.000100 Epoch[096] Batch [2949]/[3759] Speed: 70.148538 samples/sec accuracy=70.673199 loss=1.178171 lr=0.000100 Epoch[096] Batch [2999]/[3759] Speed: 69.939322 samples/sec accuracy=70.672396 loss=1.177911 lr=0.000100 Epoch[096] Batch [3049]/[3759] Speed: 69.542303 samples/sec accuracy=70.664959 loss=1.177780 lr=0.000100 Epoch[096] Batch [3099]/[3759] Speed: 70.152935 samples/sec accuracy=70.685988 loss=1.177443 lr=0.000100 Epoch[096] Batch [3149]/[3759] Speed: 69.918810 samples/sec accuracy=70.696429 loss=1.177285 lr=0.000100 Epoch[096] Batch [3199]/[3759] Speed: 68.174286 samples/sec accuracy=70.689453 loss=1.177638 lr=0.000100 Epoch[096] Batch [3249]/[3759] Speed: 70.986721 samples/sec accuracy=70.676923 loss=1.177950 lr=0.000100 Epoch[096] Batch [3299]/[3759] Speed: 70.367996 samples/sec accuracy=70.680871 loss=1.178134 lr=0.000100 Epoch[096] Batch [3349]/[3759] Speed: 69.280456 samples/sec accuracy=70.668377 loss=1.178376 lr=0.000100 Epoch[096] Batch [3399]/[3759] Speed: 69.017613 samples/sec accuracy=70.670037 loss=1.178628 lr=0.000100 Epoch[096] Batch [3449]/[3759] Speed: 70.101074 samples/sec accuracy=70.655344 loss=1.179038 lr=0.000100 Epoch[096] Batch [3499]/[3759] Speed: 70.206303 samples/sec accuracy=70.668750 loss=1.179012 lr=0.000100 Epoch[096] Batch [3549]/[3759] Speed: 68.641104 samples/sec accuracy=70.669454 loss=1.178712 lr=0.000100 Epoch[096] Batch [3599]/[3759] Speed: 70.666333 samples/sec accuracy=70.664062 loss=1.179134 lr=0.000100 Epoch[096] Batch [3649]/[3759] Speed: 70.891041 samples/sec accuracy=70.682363 loss=1.178822 lr=0.000100 Epoch[096] Batch [3699]/[3759] Speed: 68.894072 samples/sec accuracy=70.679899 loss=1.178743 lr=0.000100 Epoch[096] Batch [3749]/[3759] Speed: 78.766595 samples/sec accuracy=70.660833 loss=1.179590 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.468750 acc-top5=84.093750 Batch [0099]/[0303]: acc-top1=62.875000 acc-top5=84.281250 Batch [0149]/[0303]: acc-top1=63.958333 acc-top5=84.604167 Batch [0199]/[0303]: acc-top1=64.437500 acc-top5=84.984375 Batch [0249]/[0303]: acc-top1=64.643750 acc-top5=85.225000 Batch [0299]/[0303]: acc-top1=64.510417 acc-top5=85.104167 [Epoch 096] training: accuracy=70.661662 loss=1.179604 [Epoch 096] speed: 69 samples/sec time cost: 3746.118063 [Epoch 096] validation: acc-top1=64.490512 acc-top5=85.117574 loss=1.550950 Epoch[097] Batch [0049]/[3760] Speed: 46.849037 samples/sec accuracy=69.406250 loss=1.167900 lr=0.000100 Epoch[097] Batch [0099]/[3760] Speed: 71.354366 samples/sec accuracy=70.359375 loss=1.172348 lr=0.000100 Epoch[097] Batch [0149]/[3760] Speed: 68.536143 samples/sec accuracy=70.437500 loss=1.178306 lr=0.000100 Epoch[097] Batch [0199]/[3760] Speed: 68.882257 samples/sec accuracy=70.429688 loss=1.179292 lr=0.000100 Epoch[097] Batch [0249]/[3760] Speed: 68.806292 samples/sec accuracy=70.350000 loss=1.181887 lr=0.000100 Epoch[097] Batch [0299]/[3760] Speed: 70.923924 samples/sec accuracy=70.416667 loss=1.176891 lr=0.000100 Epoch[097] Batch [0349]/[3760] Speed: 70.668348 samples/sec accuracy=70.348214 loss=1.185175 lr=0.000100 Epoch[097] Batch [0399]/[3760] Speed: 69.887816 samples/sec accuracy=70.386719 loss=1.184392 lr=0.000100 Epoch[097] Batch [0449]/[3760] Speed: 69.800609 samples/sec accuracy=70.531250 loss=1.181411 lr=0.000100 Epoch[097] Batch [0499]/[3760] Speed: 69.488263 samples/sec accuracy=70.418750 loss=1.184577 lr=0.000100 Epoch[097] Batch [0549]/[3760] Speed: 68.208141 samples/sec accuracy=70.366477 loss=1.184186 lr=0.000100 Epoch[097] Batch [0599]/[3760] Speed: 70.196782 samples/sec accuracy=70.372396 loss=1.182850 lr=0.000100 Epoch[097] Batch [0649]/[3760] Speed: 69.595699 samples/sec accuracy=70.425481 loss=1.181602 lr=0.000100 Epoch[097] Batch [0699]/[3760] Speed: 69.864704 samples/sec accuracy=70.466518 loss=1.180115 lr=0.000100 Epoch[097] Batch [0749]/[3760] Speed: 68.572163 samples/sec accuracy=70.545833 loss=1.176967 lr=0.000100 Epoch[097] Batch [0799]/[3760] Speed: 70.607851 samples/sec accuracy=70.625000 loss=1.176118 lr=0.000100 Epoch[097] Batch [0849]/[3760] Speed: 68.891265 samples/sec accuracy=70.628676 loss=1.177131 lr=0.000100 Epoch[097] Batch [0899]/[3760] Speed: 70.356726 samples/sec accuracy=70.684028 loss=1.175744 lr=0.000100 Epoch[097] Batch [0949]/[3760] Speed: 69.812998 samples/sec accuracy=70.672697 loss=1.176415 lr=0.000100 Epoch[097] Batch [0999]/[3760] Speed: 68.315135 samples/sec accuracy=70.653125 loss=1.175961 lr=0.000100 Epoch[097] Batch [1049]/[3760] Speed: 69.899939 samples/sec accuracy=70.659226 loss=1.174877 lr=0.000100 Epoch[097] Batch [1099]/[3760] Speed: 70.901882 samples/sec accuracy=70.711648 loss=1.172146 lr=0.000100 Epoch[097] Batch [1149]/[3760] Speed: 68.987104 samples/sec accuracy=70.703804 loss=1.173224 lr=0.000100 Epoch[097] Batch [1199]/[3760] Speed: 70.400135 samples/sec accuracy=70.677083 loss=1.174031 lr=0.000100 Epoch[097] Batch [1249]/[3760] Speed: 68.208177 samples/sec accuracy=70.688750 loss=1.173530 lr=0.000100 Epoch[097] Batch [1299]/[3760] Speed: 70.116845 samples/sec accuracy=70.697115 loss=1.172899 lr=0.000100 Epoch[097] Batch [1349]/[3760] Speed: 70.307696 samples/sec accuracy=70.697917 loss=1.172848 lr=0.000100 Epoch[097] Batch [1399]/[3760] Speed: 69.465556 samples/sec accuracy=70.710938 loss=1.172876 lr=0.000100 Epoch[097] Batch [1449]/[3760] Speed: 68.482439 samples/sec accuracy=70.745690 loss=1.171260 lr=0.000100 Epoch[097] Batch [1499]/[3760] Speed: 68.432447 samples/sec accuracy=70.743750 loss=1.172313 lr=0.000100 Epoch[097] Batch [1549]/[3760] Speed: 71.848537 samples/sec accuracy=70.738911 loss=1.172594 lr=0.000100 Epoch[097] Batch [1599]/[3760] Speed: 70.306623 samples/sec accuracy=70.793945 loss=1.171464 lr=0.000100 Epoch[097] Batch [1649]/[3760] Speed: 69.074634 samples/sec accuracy=70.827652 loss=1.170743 lr=0.000100 Epoch[097] Batch [1699]/[3760] Speed: 69.422982 samples/sec accuracy=70.854779 loss=1.170866 lr=0.000100 Epoch[097] Batch [1749]/[3760] Speed: 70.100651 samples/sec accuracy=70.868750 loss=1.170783 lr=0.000100 Epoch[097] Batch [1799]/[3760] Speed: 69.598142 samples/sec accuracy=70.855903 loss=1.170736 lr=0.000100 Epoch[097] Batch [1849]/[3760] Speed: 69.111127 samples/sec accuracy=70.822635 loss=1.172140 lr=0.000100 Epoch[097] Batch [1899]/[3760] Speed: 69.444371 samples/sec accuracy=70.810033 loss=1.173362 lr=0.000100 Epoch[097] Batch [1949]/[3760] Speed: 70.455436 samples/sec accuracy=70.795673 loss=1.173487 lr=0.000100 Epoch[097] Batch [1999]/[3760] Speed: 69.202242 samples/sec accuracy=70.839063 loss=1.172098 lr=0.000100 Epoch[097] Batch [2049]/[3760] Speed: 68.537489 samples/sec accuracy=70.839177 loss=1.172019 lr=0.000100 Epoch[097] Batch [2099]/[3760] Speed: 70.828994 samples/sec accuracy=70.837798 loss=1.171799 lr=0.000100 Epoch[097] Batch [2149]/[3760] Speed: 69.848417 samples/sec accuracy=70.834302 loss=1.172325 lr=0.000100 Epoch[097] Batch [2199]/[3760] Speed: 70.081324 samples/sec accuracy=70.830966 loss=1.172637 lr=0.000100 Epoch[097] Batch [2249]/[3760] Speed: 68.632141 samples/sec accuracy=70.797222 loss=1.174378 lr=0.000100 Epoch[097] Batch [2299]/[3760] Speed: 69.287174 samples/sec accuracy=70.764946 loss=1.175924 lr=0.000100 Epoch[097] Batch [2349]/[3760] Speed: 69.215700 samples/sec accuracy=70.728723 loss=1.177047 lr=0.000100 Epoch[097] Batch [2399]/[3760] Speed: 68.952720 samples/sec accuracy=70.727865 loss=1.177695 lr=0.000100 Epoch[097] Batch [2449]/[3760] Speed: 71.317228 samples/sec accuracy=70.720026 loss=1.178159 lr=0.000100 Epoch[097] Batch [2499]/[3760] Speed: 68.664122 samples/sec accuracy=70.728750 loss=1.178152 lr=0.000100 Epoch[097] Batch [2549]/[3760] Speed: 69.648135 samples/sec accuracy=70.719975 loss=1.178641 lr=0.000100 Epoch[097] Batch [2599]/[3760] Speed: 70.019561 samples/sec accuracy=70.725361 loss=1.178658 lr=0.000100 Epoch[097] Batch [2649]/[3760] Speed: 68.213280 samples/sec accuracy=70.734670 loss=1.178330 lr=0.000100 Epoch[097] Batch [2699]/[3760] Speed: 70.081717 samples/sec accuracy=70.743056 loss=1.178469 lr=0.000100 Epoch[097] Batch [2749]/[3760] Speed: 69.710619 samples/sec accuracy=70.738068 loss=1.179242 lr=0.000100 Epoch[097] Batch [2799]/[3760] Speed: 70.399912 samples/sec accuracy=70.743304 loss=1.179470 lr=0.000100 Epoch[097] Batch [2849]/[3760] Speed: 68.364080 samples/sec accuracy=70.757675 loss=1.178873 lr=0.000100 Epoch[097] Batch [2899]/[3760] Speed: 70.907400 samples/sec accuracy=70.756466 loss=1.179762 lr=0.000100 Epoch[097] Batch [2949]/[3760] Speed: 66.509406 samples/sec accuracy=70.740466 loss=1.179698 lr=0.000100 Epoch[097] Batch [2999]/[3760] Speed: 72.771871 samples/sec accuracy=70.764583 loss=1.178957 lr=0.000100 Epoch[097] Batch [3049]/[3760] Speed: 69.000033 samples/sec accuracy=70.754098 loss=1.179458 lr=0.000100 Epoch[097] Batch [3099]/[3760] Speed: 69.407953 samples/sec accuracy=70.746472 loss=1.179554 lr=0.000100 Epoch[097] Batch [3149]/[3760] Speed: 69.719147 samples/sec accuracy=70.755456 loss=1.179552 lr=0.000100 Epoch[097] Batch [3199]/[3760] Speed: 69.934588 samples/sec accuracy=70.761230 loss=1.179421 lr=0.000100 Epoch[097] Batch [3249]/[3760] Speed: 65.956146 samples/sec accuracy=70.764423 loss=1.179012 lr=0.000100 Epoch[097] Batch [3299]/[3760] Speed: 73.779681 samples/sec accuracy=70.763258 loss=1.178948 lr=0.000100 Epoch[097] Batch [3349]/[3760] Speed: 69.632625 samples/sec accuracy=70.772388 loss=1.178487 lr=0.000100 Epoch[097] Batch [3399]/[3760] Speed: 70.236849 samples/sec accuracy=70.762408 loss=1.179206 lr=0.000100 Epoch[097] Batch [3449]/[3760] Speed: 70.169332 samples/sec accuracy=70.794837 loss=1.178377 lr=0.000100 Epoch[097] Batch [3499]/[3760] Speed: 69.367682 samples/sec accuracy=70.796875 loss=1.177797 lr=0.000100 Epoch[097] Batch [3549]/[3760] Speed: 69.342021 samples/sec accuracy=70.795335 loss=1.178423 lr=0.000100 Epoch[097] Batch [3599]/[3760] Speed: 70.228591 samples/sec accuracy=70.781684 loss=1.178545 lr=0.000100 Epoch[097] Batch [3649]/[3760] Speed: 69.216348 samples/sec accuracy=70.786387 loss=1.178597 lr=0.000100 Epoch[097] Batch [3699]/[3760] Speed: 70.296003 samples/sec accuracy=70.788007 loss=1.178504 lr=0.000100 Epoch[097] Batch [3749]/[3760] Speed: 77.739984 samples/sec accuracy=70.786667 loss=1.178580 lr=0.000100 Batch [0049]/[0303]: acc-top1=63.062500 acc-top5=84.281250 Batch [0099]/[0303]: acc-top1=62.968750 acc-top5=84.390625 Batch [0149]/[0303]: acc-top1=63.989583 acc-top5=84.718750 Batch [0199]/[0303]: acc-top1=64.500000 acc-top5=85.101562 Batch [0249]/[0303]: acc-top1=64.675000 acc-top5=85.300000 Batch [0299]/[0303]: acc-top1=64.479167 acc-top5=85.140625 [Epoch 097] training: accuracy=70.782497 loss=1.178596 [Epoch 097] speed: 69 samples/sec time cost: 3755.321495 [Epoch 097] validation: acc-top1=64.475041 acc-top5=85.158828 loss=1.556889 Epoch[098] Batch [0049]/[3759] Speed: 47.790467 samples/sec accuracy=70.906250 loss=1.155558 lr=0.000100 Epoch[098] Batch [0099]/[3759] Speed: 70.980809 samples/sec accuracy=70.796875 loss=1.180953 lr=0.000100 Epoch[098] Batch [0149]/[3759] Speed: 67.777359 samples/sec accuracy=70.697917 loss=1.184069 lr=0.000100 Epoch[098] Batch [0199]/[3759] Speed: 69.457746 samples/sec accuracy=70.398438 loss=1.192494 lr=0.000100 Epoch[098] Batch [0249]/[3759] Speed: 69.879209 samples/sec accuracy=70.487500 loss=1.190312 lr=0.000100 Epoch[098] Batch [0299]/[3759] Speed: 69.801538 samples/sec accuracy=70.796875 loss=1.181760 lr=0.000100 Epoch[098] Batch [0349]/[3759] Speed: 65.108364 samples/sec accuracy=70.955357 loss=1.173241 lr=0.000100 Epoch[098] Batch [0399]/[3759] Speed: 75.271198 samples/sec accuracy=70.812500 loss=1.176189 lr=0.000100 Epoch[098] Batch [0449]/[3759] Speed: 69.334150 samples/sec accuracy=70.881944 loss=1.175466 lr=0.000100 Epoch[098] Batch 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accuracy=70.993421 loss=1.170151 lr=0.000100 Epoch[098] Batch [0999]/[3759] Speed: 71.478719 samples/sec accuracy=70.978125 loss=1.169827 lr=0.000100 Epoch[098] Batch [1049]/[3759] Speed: 68.582892 samples/sec accuracy=71.002976 loss=1.169840 lr=0.000100 Epoch[098] Batch [1099]/[3759] Speed: 70.125218 samples/sec accuracy=71.002841 loss=1.170194 lr=0.000100 Epoch[098] Batch [1149]/[3759] Speed: 69.402014 samples/sec accuracy=70.975543 loss=1.170307 lr=0.000100 Epoch[098] Batch [1199]/[3759] Speed: 70.101525 samples/sec accuracy=70.993490 loss=1.170757 lr=0.000100 Epoch[098] Batch [1249]/[3759] Speed: 67.796248 samples/sec accuracy=70.981250 loss=1.170828 lr=0.000100 Epoch[098] Batch [1299]/[3759] Speed: 67.692367 samples/sec accuracy=70.968750 loss=1.172332 lr=0.000100 Epoch[098] Batch [1349]/[3759] Speed: 72.558705 samples/sec accuracy=70.952546 loss=1.172872 lr=0.000100 Epoch[098] Batch [1399]/[3759] Speed: 67.412132 samples/sec accuracy=70.943080 loss=1.172642 lr=0.000100 Epoch[098] 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accuracy=70.933388 loss=1.175492 lr=0.000100 Epoch[098] Batch [1949]/[3759] Speed: 70.413363 samples/sec accuracy=70.931090 loss=1.174826 lr=0.000100 Epoch[098] Batch [1999]/[3759] Speed: 69.466222 samples/sec accuracy=70.932812 loss=1.174469 lr=0.000100 Epoch[098] Batch [2049]/[3759] Speed: 68.757692 samples/sec accuracy=70.899390 loss=1.175727 lr=0.000100 Epoch[098] Batch [2099]/[3759] Speed: 69.681737 samples/sec accuracy=70.883929 loss=1.176097 lr=0.000100 Epoch[098] Batch [2149]/[3759] Speed: 70.076229 samples/sec accuracy=70.864099 loss=1.176908 lr=0.000100 Epoch[098] Batch [2199]/[3759] Speed: 69.956303 samples/sec accuracy=70.867188 loss=1.177349 lr=0.000100 Epoch[098] Batch [2249]/[3759] Speed: 69.914090 samples/sec accuracy=70.869444 loss=1.177948 lr=0.000100 Epoch[098] Batch [2299]/[3759] Speed: 69.604935 samples/sec accuracy=70.836957 loss=1.178747 lr=0.000100 Epoch[098] Batch [2349]/[3759] Speed: 69.243869 samples/sec accuracy=70.814495 loss=1.178685 lr=0.000100 Epoch[098] 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accuracy=70.776316 loss=1.179357 lr=0.000100 Epoch[098] Batch [2899]/[3759] Speed: 69.468202 samples/sec accuracy=70.772629 loss=1.179486 lr=0.000100 Epoch[098] Batch [2949]/[3759] Speed: 70.912205 samples/sec accuracy=70.774364 loss=1.179674 lr=0.000100 Epoch[098] Batch [2999]/[3759] Speed: 69.345503 samples/sec accuracy=70.778125 loss=1.178988 lr=0.000100 Epoch[098] Batch [3049]/[3759] Speed: 70.062169 samples/sec accuracy=70.764344 loss=1.179777 lr=0.000100 Epoch[098] Batch [3099]/[3759] Speed: 69.196418 samples/sec accuracy=70.756048 loss=1.180286 lr=0.000100 Epoch[098] Batch [3149]/[3759] Speed: 69.765080 samples/sec accuracy=70.757440 loss=1.179875 lr=0.000100 Epoch[098] Batch [3199]/[3759] Speed: 71.049419 samples/sec accuracy=70.766602 loss=1.179393 lr=0.000100 Epoch[098] Batch [3249]/[3759] Speed: 67.543857 samples/sec accuracy=70.775000 loss=1.179203 lr=0.000100 Epoch[098] Batch [3299]/[3759] Speed: 71.325347 samples/sec accuracy=70.776042 loss=1.179191 lr=0.000100 Epoch[098] Batch [3349]/[3759] Speed: 69.351256 samples/sec accuracy=70.775653 loss=1.179389 lr=0.000100 Epoch[098] Batch [3399]/[3759] Speed: 69.747170 samples/sec accuracy=70.799632 loss=1.178653 lr=0.000100 Epoch[098] Batch [3449]/[3759] Speed: 69.582216 samples/sec accuracy=70.802536 loss=1.178386 lr=0.000100 Epoch[098] Batch [3499]/[3759] Speed: 70.123522 samples/sec accuracy=70.791071 loss=1.179056 lr=0.000100 Epoch[098] Batch [3549]/[3759] Speed: 68.505909 samples/sec accuracy=70.794014 loss=1.178909 lr=0.000100 Epoch[098] Batch [3599]/[3759] Speed: 70.245796 samples/sec accuracy=70.802083 loss=1.178191 lr=0.000100 Epoch[098] Batch [3649]/[3759] Speed: 69.426278 samples/sec accuracy=70.808647 loss=1.177799 lr=0.000100 Epoch[098] Batch [3699]/[3759] Speed: 70.474606 samples/sec accuracy=70.799409 loss=1.177840 lr=0.000100 Epoch[098] Batch [3749]/[3759] Speed: 77.279827 samples/sec accuracy=70.796250 loss=1.178206 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.375000 acc-top5=84.406250 Batch [0099]/[0303]: acc-top1=62.781250 acc-top5=84.265625 Batch [0149]/[0303]: acc-top1=63.718750 acc-top5=84.708333 Batch [0199]/[0303]: acc-top1=64.218750 acc-top5=85.101562 Batch [0249]/[0303]: acc-top1=64.443750 acc-top5=85.368750 Batch [0299]/[0303]: acc-top1=64.291667 acc-top5=85.234375 [Epoch 098] training: accuracy=70.794676 loss=1.177990 [Epoch 098] speed: 69 samples/sec time cost: 3751.830361 [Epoch 098] validation: acc-top1=64.258457 acc-top5=85.241337 loss=1.556249 Epoch[099] Batch [0049]/[3760] Speed: 48.972603 samples/sec accuracy=72.218750 loss=1.158093 lr=0.000100 Epoch[099] Batch [0099]/[3760] Speed: 67.697660 samples/sec accuracy=71.671875 loss=1.166579 lr=0.000100 Epoch[099] Batch [0149]/[3760] Speed: 69.515633 samples/sec accuracy=71.385417 loss=1.170189 lr=0.000100 Epoch[099] Batch [0199]/[3760] Speed: 70.552475 samples/sec accuracy=71.304688 loss=1.170043 lr=0.000100 Epoch[099] Batch [0249]/[3760] Speed: 69.465067 samples/sec accuracy=71.350000 loss=1.169573 lr=0.000100 Epoch[099] Batch [0299]/[3760] Speed: 69.400823 samples/sec accuracy=71.223958 loss=1.173008 lr=0.000100 Epoch[099] Batch [0349]/[3760] Speed: 69.324118 samples/sec accuracy=71.200893 loss=1.174038 lr=0.000100 Epoch[099] Batch [0399]/[3760] Speed: 70.707780 samples/sec accuracy=71.339844 loss=1.169663 lr=0.000100 Epoch[099] Batch [0449]/[3760] Speed: 70.351325 samples/sec accuracy=71.260417 loss=1.176069 lr=0.000100 Epoch[099] Batch [0499]/[3760] Speed: 70.684142 samples/sec accuracy=71.184375 loss=1.176826 lr=0.000100 Epoch[099] Batch [0549]/[3760] Speed: 68.460006 samples/sec accuracy=71.139205 loss=1.177747 lr=0.000100 Epoch[099] Batch [0599]/[3760] Speed: 69.941710 samples/sec accuracy=71.119792 loss=1.178546 lr=0.000100 Epoch[099] Batch [0649]/[3760] Speed: 70.777661 samples/sec accuracy=71.016827 loss=1.180413 lr=0.000100 Epoch[099] Batch [0699]/[3760] Speed: 69.750408 samples/sec accuracy=71.024554 loss=1.179399 lr=0.000100 Epoch[099] Batch [0749]/[3760] Speed: 69.908206 samples/sec accuracy=71.035417 loss=1.179357 lr=0.000100 Epoch[099] Batch [0799]/[3760] Speed: 70.343440 samples/sec accuracy=71.011719 loss=1.180387 lr=0.000100 Epoch[099] Batch [0849]/[3760] Speed: 68.975496 samples/sec accuracy=70.977941 loss=1.182064 lr=0.000100 Epoch[099] Batch [0899]/[3760] Speed: 70.247996 samples/sec accuracy=70.949653 loss=1.184011 lr=0.000100 Epoch[099] Batch [0949]/[3760] Speed: 68.581925 samples/sec accuracy=71.034539 loss=1.182517 lr=0.000100 Epoch[099] Batch [0999]/[3760] Speed: 68.959818 samples/sec accuracy=70.943750 loss=1.183747 lr=0.000100 Epoch[099] Batch [1049]/[3760] Speed: 70.051018 samples/sec accuracy=71.063988 loss=1.179698 lr=0.000100 Epoch[099] Batch [1099]/[3760] Speed: 71.005493 samples/sec accuracy=71.044034 loss=1.179654 lr=0.000100 Epoch[099] Batch [1149]/[3760] Speed: 69.030760 samples/sec accuracy=70.997283 loss=1.180285 lr=0.000100 Epoch[099] Batch [1199]/[3760] Speed: 70.188042 samples/sec accuracy=70.971354 loss=1.181851 lr=0.000100 Epoch[099] Batch [1249]/[3760] Speed: 68.900125 samples/sec accuracy=70.912500 loss=1.183484 lr=0.000100 Epoch[099] Batch [1299]/[3760] Speed: 70.513425 samples/sec accuracy=70.867788 loss=1.184013 lr=0.000100 Epoch[099] Batch [1349]/[3760] Speed: 69.956278 samples/sec accuracy=70.888889 loss=1.181544 lr=0.000100 Epoch[099] Batch [1399]/[3760] Speed: 70.479379 samples/sec accuracy=70.864955 loss=1.182597 lr=0.000100 Epoch[099] Batch [1449]/[3760] Speed: 69.740096 samples/sec accuracy=70.876078 loss=1.182617 lr=0.000100 Epoch[099] Batch [1499]/[3760] Speed: 69.176028 samples/sec accuracy=70.870833 loss=1.183787 lr=0.000100 Epoch[099] Batch [1549]/[3760] Speed: 66.438919 samples/sec accuracy=70.862903 loss=1.184591 lr=0.000100 Epoch[099] Batch [1599]/[3760] Speed: 72.012104 samples/sec accuracy=70.845703 loss=1.184836 lr=0.000100 Epoch[099] Batch [1649]/[3760] Speed: 71.187893 samples/sec accuracy=70.863636 loss=1.183558 lr=0.000100 Epoch[099] Batch [1699]/[3760] Speed: 69.617873 samples/sec accuracy=70.863051 loss=1.183785 lr=0.000100 Epoch[099] Batch [1749]/[3760] Speed: 69.348977 samples/sec accuracy=70.881250 loss=1.182491 lr=0.000100 Epoch[099] Batch [1799]/[3760] Speed: 69.895875 samples/sec accuracy=70.901042 loss=1.180680 lr=0.000100 Epoch[099] Batch [1849]/[3760] Speed: 68.388962 samples/sec accuracy=70.832770 loss=1.182220 lr=0.000100 Epoch[099] Batch [1899]/[3760] Speed: 70.855704 samples/sec accuracy=70.846217 loss=1.181813 lr=0.000100 Epoch[099] Batch [1949]/[3760] Speed: 70.092990 samples/sec accuracy=70.855769 loss=1.181318 lr=0.000100 Epoch[099] Batch [1999]/[3760] Speed: 68.034546 samples/sec accuracy=70.869531 loss=1.180534 lr=0.000100 Epoch[099] Batch [2049]/[3760] Speed: 70.554379 samples/sec accuracy=70.832317 loss=1.181262 lr=0.000100 Epoch[099] Batch [2099]/[3760] Speed: 70.401635 samples/sec accuracy=70.816964 loss=1.181946 lr=0.000100 Epoch[099] Batch [2149]/[3760] Speed: 70.044129 samples/sec accuracy=70.825581 loss=1.181529 lr=0.000100 Epoch[099] Batch [2199]/[3760] Speed: 68.605722 samples/sec accuracy=70.835938 loss=1.181278 lr=0.000100 Epoch[099] Batch [2249]/[3760] Speed: 68.831747 samples/sec accuracy=70.829167 loss=1.181820 lr=0.000100 Epoch[099] Batch [2299]/[3760] Speed: 71.228909 samples/sec accuracy=70.804348 loss=1.183028 lr=0.000100 Epoch[099] Batch [2349]/[3760] Speed: 68.003881 samples/sec accuracy=70.798537 loss=1.183050 lr=0.000100 Epoch[099] Batch [2399]/[3760] Speed: 69.937308 samples/sec accuracy=70.835286 loss=1.181485 lr=0.000100 Epoch[099] Batch [2449]/[3760] Speed: 71.314453 samples/sec accuracy=70.845663 loss=1.180747 lr=0.000100 Epoch[099] Batch [2499]/[3760] Speed: 70.155485 samples/sec accuracy=70.866875 loss=1.180190 lr=0.000100 Epoch[099] Batch [2549]/[3760] Speed: 67.930319 samples/sec accuracy=70.880515 loss=1.179475 lr=0.000100 Epoch[099] Batch [2599]/[3760] Speed: 70.200052 samples/sec accuracy=70.883413 loss=1.179828 lr=0.000100 Epoch[099] Batch [2649]/[3760] Speed: 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lr=0.000100 Epoch[099] Batch [3149]/[3760] Speed: 70.336632 samples/sec accuracy=70.896329 loss=1.177055 lr=0.000100 Epoch[099] Batch [3199]/[3760] Speed: 68.672643 samples/sec accuracy=70.884277 loss=1.177661 lr=0.000100 Epoch[099] Batch [3249]/[3760] Speed: 70.478394 samples/sec accuracy=70.890385 loss=1.177479 lr=0.000100 Epoch[099] Batch [3299]/[3760] Speed: 70.557354 samples/sec accuracy=70.888258 loss=1.177627 lr=0.000100 Epoch[099] Batch [3349]/[3760] Speed: 70.294028 samples/sec accuracy=70.875933 loss=1.177668 lr=0.000100 Epoch[099] Batch [3399]/[3760] Speed: 69.615523 samples/sec accuracy=70.868566 loss=1.177220 lr=0.000100 Epoch[099] Batch [3449]/[3760] Speed: 70.427820 samples/sec accuracy=70.852808 loss=1.177539 lr=0.000100 Epoch[099] Batch [3499]/[3760] Speed: 68.751349 samples/sec accuracy=70.865625 loss=1.177132 lr=0.000100 Epoch[099] Batch [3549]/[3760] Speed: 69.801816 samples/sec accuracy=70.853433 loss=1.177861 lr=0.000100 Epoch[099] Batch [3599]/[3760] Speed: 70.492510 samples/sec accuracy=70.865017 loss=1.177454 lr=0.000100 Epoch[099] Batch [3649]/[3760] Speed: 68.734642 samples/sec accuracy=70.882277 loss=1.176923 lr=0.000100 Epoch[099] Batch [3699]/[3760] Speed: 69.965563 samples/sec accuracy=70.888091 loss=1.177044 lr=0.000100 Epoch[099] Batch [3749]/[3760] Speed: 77.782919 samples/sec accuracy=70.893333 loss=1.177005 lr=0.000100 Batch [0049]/[0303]: acc-top1=62.968750 acc-top5=84.343750 Batch [0099]/[0303]: acc-top1=62.781250 acc-top5=84.500000 Batch [0149]/[0303]: acc-top1=63.812500 acc-top5=84.791667 Batch [0199]/[0303]: acc-top1=64.429688 acc-top5=85.117188 Batch [0249]/[0303]: acc-top1=64.737500 acc-top5=85.293750 Batch [0299]/[0303]: acc-top1=64.562500 acc-top5=85.062500 [Epoch 099] training: accuracy=70.888049 loss=1.176983 [Epoch 099] speed: 69 samples/sec time cost: 3746.708582 [Epoch 099] validation: acc-top1=64.547236 acc-top5=85.076320 loss=1.552403