Namespace(accumulate=1, batch_norm=False, batch_size=8, clip_grad=0, crop_ratio=0.875, data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/train_256', dataset='kinetics400', dtype='float32', eval=False, fast_temporal_stride=2, hard_weight=0.5, hashtag='', input_5d=False, input_size=224, kvstore=None, label_smoothing=False, last_gamma=False, log_interval=50, logging_file='slowfast_4x16_res50_seg1_kinetics400_b8_g8_f64s1_cosine_nag_lr11_warm24_warm01_video_cleanv3.txt', lr=0.11, lr_decay=0.1, lr_decay_epoch='40,60', lr_decay_period=0, lr_mode='cosine', mixup=False, mixup_alpha=0.2, mixup_off_epoch=0, mode='hybrid', model='slowfast_4x16_resnet50_kinetics400', momentum=0.9, new_height=256, new_length=64, new_step=1, new_width=340, no_wd=False, num_classes=400, num_crop=1, num_epochs=196, num_gpus=8, num_segments=1, num_workers=32, partial_bn=False, prefetch_ratio=1.0, resume_epoch=0, resume_params='', resume_states='', save_dir='/home/ubuntu/yizhu/logs/mxnet/kinetics400/slowfast/slowfast_4x16_res50_seg1_kinetics400_b8_g8_f64s1_cosine_nag_lr11_warm24_warm01_video_cleanv3', save_frequency=20, scale_ratios='1.0,0.8', slow_temporal_stride=16, slowfast=True, teacher=None, temperature=20, train_list='/home/ubuntu/yizhu/data/kinetics400/kinetics400/k400_train_240618.txt', use_amp=False, use_decord=True, use_gn=False, use_pretrained=False, use_se=False, use_tsn=False, val_data_dir='/home/ubuntu/yizhu/data/kinetics400/kinetics400/val_256', val_list='/home/ubuntu/yizhu/code/gluon-cv/extra/kinetics400/k400_val_19761_cleanv3.txt', video_loader=True, warmup_epochs=24, warmup_lr=0.01, wd=0.0001) Total batch size is set to 64 on 8 GPUs SlowFast( (fast_conv1): Conv3D(3 -> 8, kernel_size=(5, 7, 7), stride=(1, 2, 2), padding=(2, 3, 3), bias=False) (fast_bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (fast_relu): Activation(relu) (fast_maxpool): MaxPool3D(size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (fast_res2): HybridSequential( (0): Bottleneck( (conv1): Conv3D(8 -> 8, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv2): Conv3D(8 -> 8, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv3): Conv3D(8 -> 32, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(8 -> 32, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) ) ) (1): Bottleneck( (conv1): Conv3D(32 -> 8, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv2): Conv3D(8 -> 8, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv3): Conv3D(8 -> 32, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(32 -> 8, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv2): Conv3D(8 -> 8, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=8) (conv3): Conv3D(8 -> 32, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (relu): Activation(relu) ) ) (fast_res3): HybridSequential( (0): Bottleneck( (conv1): Conv3D(32 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv3): Conv3D(16 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(32 -> 64, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) ) ) (1): Bottleneck( (conv1): Conv3D(64 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv3): Conv3D(16 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(64 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv3): Conv3D(16 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(64 -> 16, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv2): Conv3D(16 -> 16, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (conv3): Conv3D(16 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (relu): Activation(relu) ) ) (fast_res4): HybridSequential( (0): Bottleneck( (conv1): Conv3D(64 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv3): Conv3D(32 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(64 -> 128, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) ) ) (1): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv3): Conv3D(32 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv3): Conv3D(32 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv3): Conv3D(32 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) ) (4): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv3): Conv3D(32 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) ) (5): Bottleneck( (conv1): Conv3D(128 -> 32, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv2): Conv3D(32 -> 32, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=32) (conv3): Conv3D(32 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (relu): Activation(relu) ) ) (fast_res5): HybridSequential( (0): Bottleneck( (conv1): Conv3D(128 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(128 -> 256, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) ) (1): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) ) (lateral_p1): HybridSequential( (0): Conv3D(8 -> 16, kernel_size=(5, 1, 1), stride=(8, 1, 1), padding=(2, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=16) (2): Activation(relu) ) (lateral_res2): HybridSequential( (0): Conv3D(32 -> 64, kernel_size=(5, 1, 1), stride=(8, 1, 1), padding=(2, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (2): Activation(relu) ) (lateral_res3): HybridSequential( (0): Conv3D(64 -> 128, kernel_size=(5, 1, 1), stride=(8, 1, 1), padding=(2, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (2): Activation(relu) ) (lateral_res4): HybridSequential( (0): Conv3D(128 -> 256, kernel_size=(5, 1, 1), stride=(8, 1, 1), padding=(2, 0, 0), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (2): Activation(relu) ) (slow_conv1): Conv3D(3 -> 64, kernel_size=(1, 7, 7), stride=(1, 2, 2), padding=(0, 3, 3), bias=False) (slow_bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (slow_relu): Activation(relu) (slow_maxpool): MaxPool3D(size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), ceil_mode=False, global_pool=False, pool_type=max, layout=NCDHW) (slow_res2): HybridSequential( (0): Bottleneck( (conv1): Conv3D(80 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(80 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) ) ) (1): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(256 -> 64, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv2): Conv3D(64 -> 64, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=64) (conv3): Conv3D(64 -> 256, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (relu): Activation(relu) ) ) (slow_res3): HybridSequential( (0): Bottleneck( (conv1): Conv3D(320 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(320 -> 512, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) ) ) (1): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(512 -> 128, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv2): Conv3D(128 -> 128, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=128) (conv3): Conv3D(128 -> 512, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (relu): Activation(relu) ) ) (slow_res4): HybridSequential( (0): Bottleneck( (conv1): Conv3D(640 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(640 -> 1024, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) ) ) (1): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (3): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (4): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) (5): Bottleneck( (conv1): Conv3D(1024 -> 256, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv2): Conv3D(256 -> 256, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=256) (conv3): Conv3D(256 -> 1024, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=1024) (relu): Activation(relu) ) ) (slow_res5): HybridSequential( (0): Bottleneck( (conv1): Conv3D(1280 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 2, 2), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) (downsample): HybridSequential( (0): Conv3D(1280 -> 2048, kernel_size=(1, 1, 1), stride=(1, 2, 2), bias=False) (1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) ) ) (1): Bottleneck( (conv1): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) (2): Bottleneck( (conv1): Conv3D(2048 -> 512, kernel_size=(3, 1, 1), stride=(1, 1, 1), padding=(1, 0, 0), bias=False) (bn1): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv2): Conv3D(512 -> 512, kernel_size=(1, 3, 3), stride=(1, 1, 1), padding=(0, 1, 1), bias=False) (bn2): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=512) (conv3): Conv3D(512 -> 2048, kernel_size=(1, 1, 1), stride=(1, 1, 1), bias=False) (bn3): BatchNorm(axis=1, eps=1e-05, momentum=0.9, fix_gamma=False, use_global_stats=False, in_channels=2048) (relu): Activation(relu) ) ) (avg): GlobalAvgPool3D(size=(1, 1, 1), stride=(1, 1, 1), padding=(0, 0, 0), ceil_mode=True, global_pool=True, pool_type=avg, layout=NCDHW) (dp): Dropout(p = 0.5, axes=()) (fc): Dense(2304 -> 400, linear) ) Load 240618 training samples and 19404 validation samples. Epoch[000] Batch [0049]/[3759] Speed: 32.157262 samples/sec accuracy=0.531250 loss=6.015992 lr=0.010055 Epoch[000] Batch [0099]/[3759] Speed: 63.261041 samples/sec accuracy=0.718750 loss=5.978976 lr=0.010111 Epoch[000] Batch [0149]/[3759] Speed: 61.742303 samples/sec accuracy=1.000000 loss=5.946545 lr=0.010166 Epoch[000] Batch [0199]/[3759] Speed: 62.672551 samples/sec accuracy=1.070312 loss=5.909971 lr=0.010222 Epoch[000] Batch [0249]/[3759] Speed: 62.583320 samples/sec accuracy=1.137500 loss=5.887269 lr=0.010277 Epoch[000] Batch [0299]/[3759] Speed: 62.162220 samples/sec accuracy=1.239583 loss=5.863751 lr=0.010333 Epoch[000] Batch [0349]/[3759] Speed: 63.093079 samples/sec accuracy=1.361607 loss=5.836693 lr=0.010388 Epoch[000] Batch [0399]/[3759] Speed: 62.471974 samples/sec accuracy=1.425781 loss=5.816896 lr=0.010443 Epoch[000] Batch [0449]/[3759] Speed: 62.289514 samples/sec accuracy=1.486111 loss=5.800390 lr=0.010499 Epoch[000] Batch [0499]/[3759] Speed: 62.112025 samples/sec 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Epoch[000] Batch [3399]/[3759] Speed: 62.278696 samples/sec accuracy=3.322151 loss=5.428801 lr=0.013769 Epoch[000] Batch [3449]/[3759] Speed: 62.511405 samples/sec accuracy=3.338768 loss=5.425091 lr=0.013824 Epoch[000] Batch [3499]/[3759] Speed: 62.526280 samples/sec accuracy=3.363393 loss=5.421412 lr=0.013880 Epoch[000] Batch [3549]/[3759] Speed: 62.600856 samples/sec accuracy=3.380282 loss=5.417904 lr=0.013935 Epoch[000] Batch [3599]/[3759] Speed: 62.618197 samples/sec accuracy=3.398872 loss=5.414683 lr=0.013990 Epoch[000] Batch [3649]/[3759] Speed: 63.137479 samples/sec accuracy=3.416524 loss=5.411259 lr=0.014046 Epoch[000] Batch [3699]/[3759] Speed: 63.101075 samples/sec accuracy=3.435811 loss=5.408176 lr=0.014101 Epoch[000] Batch [3749]/[3759] Speed: 66.716815 samples/sec accuracy=3.440417 loss=5.405756 lr=0.014157 Batch [0049]/[0303]: acc-top1=5.531250 acc-top5=14.656250 Batch [0099]/[0303]: acc-top1=5.375000 acc-top5=14.593750 Batch [0149]/[0303]: acc-top1=4.968750 acc-top5=14.437500 Batch [0199]/[0303]: acc-top1=4.812500 acc-top5=14.273438 Batch [0249]/[0303]: acc-top1=4.831250 acc-top5=14.350000 Batch [0299]/[0303]: acc-top1=4.802083 acc-top5=14.338542 [Epoch 000] training: accuracy=3.444234 loss=5.405122 [Epoch 000] speed: 61 samples/sec time cost: 4205.628474 [Epoch 000] validation: acc-top1=4.821576 acc-top5=14.351279 loss=5.216185 Epoch[001] Batch [0049]/[3760] Speed: 41.742891 samples/sec accuracy=5.906250 loss=5.113233 lr=0.014222 Epoch[001] Batch [0099]/[3760] Speed: 62.140826 samples/sec accuracy=5.687500 loss=5.135490 lr=0.014278 Epoch[001] Batch [0149]/[3760] Speed: 63.395688 samples/sec accuracy=5.489583 loss=5.137649 lr=0.014333 Epoch[001] Batch [0199]/[3760] Speed: 63.066118 samples/sec accuracy=5.429688 loss=5.140304 lr=0.014388 Epoch[001] Batch [0249]/[3760] Speed: 63.089492 samples/sec accuracy=5.337500 loss=5.142799 lr=0.014444 Epoch[001] Batch [0299]/[3760] Speed: 63.326119 samples/sec accuracy=5.338542 loss=5.140383 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samples/sec accuracy=5.208984 loss=5.134355 lr=0.015053 Epoch[001] Batch [0849]/[3760] Speed: 63.208027 samples/sec accuracy=5.235294 loss=5.130243 lr=0.015109 Epoch[001] Batch [0899]/[3760] Speed: 63.295319 samples/sec accuracy=5.241319 loss=5.129064 lr=0.015164 Epoch[001] Batch [0949]/[3760] Speed: 63.459755 samples/sec accuracy=5.220395 loss=5.129044 lr=0.015220 Epoch[001] Batch [0999]/[3760] Speed: 62.561537 samples/sec accuracy=5.248437 loss=5.125983 lr=0.015275 Epoch[001] Batch [1049]/[3760] Speed: 63.057150 samples/sec accuracy=5.279762 loss=5.125151 lr=0.015331 Epoch[001] Batch [1099]/[3760] Speed: 63.205786 samples/sec accuracy=5.288352 loss=5.123745 lr=0.015386 Epoch[001] Batch [1149]/[3760] Speed: 62.749528 samples/sec accuracy=5.305707 loss=5.122271 lr=0.015441 Epoch[001] Batch [1199]/[3760] Speed: 62.595452 samples/sec accuracy=5.333333 loss=5.119472 lr=0.015497 Epoch[001] Batch [1249]/[3760] Speed: 63.261990 samples/sec accuracy=5.345000 loss=5.114662 lr=0.015552 Epoch[001] Batch [1299]/[3760] Speed: 62.561903 samples/sec accuracy=5.377404 loss=5.110445 lr=0.015608 Epoch[001] Batch [1349]/[3760] Speed: 62.683238 samples/sec accuracy=5.394676 loss=5.107732 lr=0.015663 Epoch[001] Batch [1399]/[3760] Speed: 63.355553 samples/sec accuracy=5.406250 loss=5.104613 lr=0.015719 Epoch[001] Batch [1449]/[3760] Speed: 62.929204 samples/sec accuracy=5.422414 loss=5.101885 lr=0.015774 Epoch[001] Batch [1499]/[3760] Speed: 63.462675 samples/sec accuracy=5.400000 loss=5.100622 lr=0.015829 Epoch[001] Batch [1549]/[3760] Speed: 62.874383 samples/sec accuracy=5.420363 loss=5.099457 lr=0.015885 Epoch[001] Batch [1599]/[3760] Speed: 63.096653 samples/sec accuracy=5.424805 loss=5.097979 lr=0.015940 Epoch[001] Batch [1649]/[3760] Speed: 62.713763 samples/sec accuracy=5.441288 loss=5.094872 lr=0.015996 Epoch[001] Batch [1699]/[3760] Speed: 62.994897 samples/sec accuracy=5.452206 loss=5.093248 lr=0.016051 Epoch[001] Batch [1749]/[3760] Speed: 63.153061 samples/sec accuracy=5.471429 loss=5.090443 lr=0.016107 Epoch[001] Batch [1799]/[3760] Speed: 62.961052 samples/sec accuracy=5.497396 loss=5.089036 lr=0.016162 Epoch[001] Batch [1849]/[3760] Speed: 63.391908 samples/sec accuracy=5.524493 loss=5.086848 lr=0.016217 Epoch[001] Batch [1899]/[3760] Speed: 62.794834 samples/sec accuracy=5.548520 loss=5.083715 lr=0.016273 Epoch[001] Batch [1949]/[3760] Speed: 62.535630 samples/sec accuracy=5.572917 loss=5.082153 lr=0.016328 Epoch[001] Batch [1999]/[3760] Speed: 63.004506 samples/sec accuracy=5.585938 loss=5.080171 lr=0.016384 Epoch[001] Batch [2049]/[3760] Speed: 63.025612 samples/sec accuracy=5.599085 loss=5.077798 lr=0.016439 Epoch[001] Batch [2099]/[3760] Speed: 63.452612 samples/sec accuracy=5.624256 loss=5.075457 lr=0.016494 Epoch[001] Batch [2149]/[3760] Speed: 63.008095 samples/sec accuracy=5.630087 loss=5.074222 lr=0.016550 Epoch[001] Batch [2199]/[3760] Speed: 63.121503 samples/sec accuracy=5.658381 loss=5.072028 lr=0.016605 Epoch[001] Batch 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loss=5.051749 lr=0.017160 Epoch[001] Batch [2749]/[3760] Speed: 62.264678 samples/sec accuracy=5.801136 loss=5.050665 lr=0.017215 Epoch[001] Batch [2799]/[3760] Speed: 63.203268 samples/sec accuracy=5.834263 loss=5.047931 lr=0.017270 Epoch[001] Batch [2849]/[3760] Speed: 63.294480 samples/sec accuracy=5.847039 loss=5.046219 lr=0.017326 Epoch[001] Batch [2899]/[3760] Speed: 62.653818 samples/sec accuracy=5.858836 loss=5.044434 lr=0.017381 Epoch[001] Batch [2949]/[3760] Speed: 62.917897 samples/sec accuracy=5.867585 loss=5.042506 lr=0.017437 Epoch[001] Batch [2999]/[3760] Speed: 63.414695 samples/sec accuracy=5.884896 loss=5.040766 lr=0.017492 Epoch[001] Batch [3049]/[3760] Speed: 63.375520 samples/sec accuracy=5.890369 loss=5.038791 lr=0.017548 Epoch[001] Batch [3099]/[3760] Speed: 63.248683 samples/sec accuracy=5.909778 loss=5.036649 lr=0.017603 Epoch[001] Batch [3149]/[3760] Speed: 63.012948 samples/sec accuracy=5.918155 loss=5.035229 lr=0.017658 Epoch[001] Batch [3199]/[3760] Speed: 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lr=0.018213 Epoch[001] Batch [3699]/[3760] Speed: 63.376921 samples/sec accuracy=6.072213 loss=5.014337 lr=0.018268 Epoch[001] Batch [3749]/[3760] Speed: 66.989739 samples/sec accuracy=6.099583 loss=5.011616 lr=0.018323 Batch [0049]/[0303]: acc-top1=7.031250 acc-top5=19.718750 Batch [0099]/[0303]: acc-top1=6.734375 acc-top5=19.437500 Batch [0149]/[0303]: acc-top1=6.447917 acc-top5=19.468750 Batch [0199]/[0303]: acc-top1=6.460938 acc-top5=19.218750 Batch [0249]/[0303]: acc-top1=6.643750 acc-top5=19.387500 Batch [0299]/[0303]: acc-top1=6.630208 acc-top5=19.468750 [Epoch 001] training: accuracy=6.104139 loss=5.011186 [Epoch 001] speed: 62 samples/sec time cost: 4135.455007 [Epoch 001] validation: acc-top1=6.647071 acc-top5=19.471947 loss=4.971151 Epoch[002] Batch [0049]/[3759] Speed: 42.181058 samples/sec accuracy=6.906250 loss=4.869378 lr=0.018390 Epoch[002] Batch [0099]/[3759] Speed: 62.870987 samples/sec accuracy=7.546875 loss=4.839912 lr=0.018445 Epoch[002] Batch [0149]/[3759] Speed: 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lr=0.019000 Epoch[002] Batch [0649]/[3759] Speed: 62.934119 samples/sec accuracy=7.538462 loss=4.832673 lr=0.019055 Epoch[002] Batch [0699]/[3759] Speed: 63.124716 samples/sec accuracy=7.520089 loss=4.831108 lr=0.019110 Epoch[002] Batch [0749]/[3759] Speed: 62.772769 samples/sec accuracy=7.510417 loss=4.831361 lr=0.019166 Epoch[002] Batch [0799]/[3759] Speed: 62.808370 samples/sec accuracy=7.564453 loss=4.827662 lr=0.019221 Epoch[002] Batch [0849]/[3759] Speed: 62.855260 samples/sec accuracy=7.613971 loss=4.826945 lr=0.019277 Epoch[002] Batch [0899]/[3759] Speed: 63.101785 samples/sec accuracy=7.611111 loss=4.825355 lr=0.019332 Epoch[002] Batch [0949]/[3759] Speed: 62.883068 samples/sec accuracy=7.613487 loss=4.821488 lr=0.019388 Epoch[002] Batch [0999]/[3759] Speed: 63.161445 samples/sec accuracy=7.653125 loss=4.821125 lr=0.019443 Epoch[002] Batch [1049]/[3759] Speed: 63.001993 samples/sec accuracy=7.672619 loss=4.819942 lr=0.019498 Epoch[002] Batch [1099]/[3759] Speed: 63.102432 samples/sec accuracy=7.715909 loss=4.818546 lr=0.019554 Epoch[002] Batch [1149]/[3759] Speed: 62.765135 samples/sec accuracy=7.744565 loss=4.816210 lr=0.019609 Epoch[002] Batch [1199]/[3759] Speed: 63.206997 samples/sec accuracy=7.770833 loss=4.814742 lr=0.019665 Epoch[002] Batch [1249]/[3759] Speed: 62.580451 samples/sec accuracy=7.786250 loss=4.812877 lr=0.019720 Epoch[002] Batch [1299]/[3759] Speed: 62.874457 samples/sec accuracy=7.792067 loss=4.812237 lr=0.019776 Epoch[002] Batch [1349]/[3759] Speed: 63.113274 samples/sec accuracy=7.822917 loss=4.811323 lr=0.019831 Epoch[002] Batch [1399]/[3759] Speed: 62.867406 samples/sec accuracy=7.816964 loss=4.810770 lr=0.019886 Epoch[002] Batch [1449]/[3759] Speed: 63.275978 samples/sec accuracy=7.800647 loss=4.808804 lr=0.019942 Epoch[002] Batch [1499]/[3759] Speed: 63.507054 samples/sec accuracy=7.793750 loss=4.807578 lr=0.019997 Epoch[002] Batch [1549]/[3759] Speed: 62.728358 samples/sec accuracy=7.815524 loss=4.806279 lr=0.020053 Epoch[002] Batch [1599]/[3759] Speed: 62.941409 samples/sec accuracy=7.844727 loss=4.804393 lr=0.020108 Epoch[002] Batch [1649]/[3759] Speed: 63.244610 samples/sec accuracy=7.833333 loss=4.804042 lr=0.020163 Epoch[002] Batch [1699]/[3759] Speed: 62.944436 samples/sec accuracy=7.873162 loss=4.802359 lr=0.020219 Epoch[002] Batch [1749]/[3759] Speed: 63.348745 samples/sec accuracy=7.891071 loss=4.800446 lr=0.020274 Epoch[002] Batch [1799]/[3759] Speed: 63.185489 samples/sec accuracy=7.893229 loss=4.798646 lr=0.020330 Epoch[002] Batch [1849]/[3759] Speed: 63.023152 samples/sec accuracy=7.926520 loss=4.796665 lr=0.020385 Epoch[002] Batch [1899]/[3759] Speed: 63.545801 samples/sec accuracy=7.935855 loss=4.795570 lr=0.020441 Epoch[002] Batch [1949]/[3759] Speed: 63.140244 samples/sec accuracy=7.939103 loss=4.794188 lr=0.020496 Epoch[002] Batch [1999]/[3759] Speed: 63.138126 samples/sec accuracy=7.952344 loss=4.791452 lr=0.020551 Epoch[002] Batch [2049]/[3759] Speed: 62.899689 samples/sec accuracy=7.983232 loss=4.788916 lr=0.020607 Epoch[002] Batch [2099]/[3759] Speed: 63.137535 samples/sec accuracy=8.026042 loss=4.786299 lr=0.020662 Epoch[002] Batch [2149]/[3759] Speed: 62.784372 samples/sec accuracy=8.070494 loss=4.783314 lr=0.020718 Epoch[002] Batch [2199]/[3759] Speed: 63.172126 samples/sec accuracy=8.095881 loss=4.781356 lr=0.020773 Epoch[002] Batch [2249]/[3759] Speed: 63.239999 samples/sec accuracy=8.109028 loss=4.779835 lr=0.020829 Epoch[002] Batch [2299]/[3759] Speed: 63.166443 samples/sec accuracy=8.118207 loss=4.778189 lr=0.020884 Epoch[002] Batch [2349]/[3759] Speed: 62.952631 samples/sec accuracy=8.133644 loss=4.776614 lr=0.020939 Epoch[002] Batch [2399]/[3759] Speed: 62.793861 samples/sec accuracy=8.150391 loss=4.775064 lr=0.020995 Epoch[002] Batch [2449]/[3759] Speed: 62.767339 samples/sec accuracy=8.161990 loss=4.773873 lr=0.021050 Epoch[002] Batch [2499]/[3759] Speed: 62.614726 samples/sec accuracy=8.190625 loss=4.771758 lr=0.021106 Epoch[002] Batch 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loss=4.752822 lr=0.021660 Epoch[002] Batch [3049]/[3759] Speed: 63.061843 samples/sec accuracy=8.367316 loss=4.751491 lr=0.021715 Epoch[002] Batch [3099]/[3759] Speed: 62.396795 samples/sec accuracy=8.390121 loss=4.750401 lr=0.021771 Epoch[002] Batch [3149]/[3759] Speed: 63.354772 samples/sec accuracy=8.408730 loss=4.748994 lr=0.021826 Epoch[002] Batch [3199]/[3759] Speed: 62.866832 samples/sec accuracy=8.430664 loss=4.747199 lr=0.021882 Epoch[002] Batch [3249]/[3759] Speed: 63.431364 samples/sec accuracy=8.443269 loss=4.745076 lr=0.021937 Epoch[002] Batch [3299]/[3759] Speed: 62.843334 samples/sec accuracy=8.456439 loss=4.744006 lr=0.021992 Epoch[002] Batch [3349]/[3759] Speed: 63.266502 samples/sec accuracy=8.477146 loss=4.741605 lr=0.022048 Epoch[002] Batch [3399]/[3759] Speed: 63.647054 samples/sec accuracy=8.491268 loss=4.739591 lr=0.022103 Epoch[002] Batch [3449]/[3759] Speed: 63.380099 samples/sec accuracy=8.494565 loss=4.738448 lr=0.022159 Epoch[002] Batch [3499]/[3759] Speed: 62.934783 samples/sec accuracy=8.509821 loss=4.736672 lr=0.022214 Epoch[002] Batch [3549]/[3759] Speed: 63.129313 samples/sec accuracy=8.524208 loss=4.735533 lr=0.022270 Epoch[002] Batch [3599]/[3759] Speed: 63.325519 samples/sec accuracy=8.549045 loss=4.733726 lr=0.022325 Epoch[002] Batch [3649]/[3759] Speed: 62.789562 samples/sec accuracy=8.561216 loss=4.732241 lr=0.022380 Epoch[002] Batch [3699]/[3759] Speed: 62.904274 samples/sec accuracy=8.589949 loss=4.729937 lr=0.022436 Epoch[002] Batch [3749]/[3759] Speed: 66.726716 samples/sec accuracy=8.609583 loss=4.727901 lr=0.022491 Batch [0049]/[0303]: acc-top1=9.781250 acc-top5=26.625000 Batch [0099]/[0303]: acc-top1=9.718750 acc-top5=26.093750 Batch [0149]/[0303]: acc-top1=9.572917 acc-top5=25.625000 Batch [0199]/[0303]: acc-top1=9.593750 acc-top5=25.679687 Batch [0249]/[0303]: acc-top1=9.775000 acc-top5=26.000000 Batch [0299]/[0303]: acc-top1=9.828125 acc-top5=26.166667 [Epoch 002] training: accuracy=8.608506 loss=4.727523 [Epoch 002] speed: 62 samples/sec time cost: 4137.111300 [Epoch 002] validation: acc-top1=9.839109 acc-top5=26.160272 loss=4.637322 Epoch[003] Batch [0049]/[3760] Speed: 41.998961 samples/sec accuracy=10.156250 loss=4.558019 lr=0.022557 Epoch[003] Batch [0099]/[3760] Speed: 62.251735 samples/sec accuracy=10.343750 loss=4.549758 lr=0.022612 Epoch[003] Batch [0149]/[3760] Speed: 63.220891 samples/sec accuracy=10.041667 loss=4.566556 lr=0.022668 Epoch[003] Batch [0199]/[3760] Speed: 62.582981 samples/sec accuracy=9.968750 loss=4.570104 lr=0.022723 Epoch[003] Batch [0249]/[3760] Speed: 63.185753 samples/sec accuracy=10.012500 loss=4.569340 lr=0.022778 Epoch[003] Batch [0299]/[3760] Speed: 62.937898 samples/sec accuracy=9.968750 loss=4.576663 lr=0.022834 Epoch[003] Batch [0349]/[3760] Speed: 63.212151 samples/sec accuracy=9.919643 loss=4.579611 lr=0.022889 Epoch[003] Batch [0399]/[3760] Speed: 63.224912 samples/sec accuracy=9.972656 loss=4.577946 lr=0.022945 Epoch[003] Batch [0449]/[3760] Speed: 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lr=0.023499 Epoch[003] Batch [0949]/[3760] Speed: 62.979179 samples/sec accuracy=10.254934 loss=4.556873 lr=0.023554 Epoch[003] Batch [0999]/[3760] Speed: 62.835746 samples/sec accuracy=10.265625 loss=4.555058 lr=0.023610 Epoch[003] Batch [1049]/[3760] Speed: 63.301308 samples/sec accuracy=10.279762 loss=4.554700 lr=0.023665 Epoch[003] Batch [1099]/[3760] Speed: 62.990468 samples/sec accuracy=10.298295 loss=4.551487 lr=0.023721 Epoch[003] Batch [1149]/[3760] Speed: 62.737925 samples/sec accuracy=10.293478 loss=4.550806 lr=0.023776 Epoch[003] Batch [1199]/[3760] Speed: 63.480268 samples/sec accuracy=10.309896 loss=4.550522 lr=0.023831 Epoch[003] Batch [1249]/[3760] Speed: 62.710091 samples/sec accuracy=10.342500 loss=4.547730 lr=0.023887 Epoch[003] Batch [1299]/[3760] Speed: 63.370730 samples/sec accuracy=10.320913 loss=4.547203 lr=0.023942 Epoch[003] Batch [1349]/[3760] Speed: 63.306375 samples/sec accuracy=10.300926 loss=4.548065 lr=0.023998 Epoch[003] Batch [1399]/[3760] Speed: 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lr=0.024552 Epoch[003] Batch [1899]/[3760] Speed: 63.307986 samples/sec accuracy=10.501645 loss=4.526939 lr=0.024607 Epoch[003] Batch [1949]/[3760] Speed: 62.754228 samples/sec accuracy=10.507212 loss=4.525794 lr=0.024663 Epoch[003] Batch [1999]/[3760] Speed: 63.193119 samples/sec accuracy=10.539844 loss=4.523614 lr=0.024718 Epoch[003] Batch [2049]/[3760] Speed: 63.076117 samples/sec accuracy=10.565549 loss=4.521625 lr=0.024774 Epoch[003] Batch [2099]/[3760] Speed: 63.208112 samples/sec accuracy=10.593750 loss=4.520038 lr=0.024829 Epoch[003] Batch [2149]/[3760] Speed: 63.000090 samples/sec accuracy=10.617006 loss=4.518978 lr=0.024884 Epoch[003] Batch [2199]/[3760] Speed: 63.115427 samples/sec accuracy=10.639915 loss=4.516516 lr=0.024940 Epoch[003] Batch [2249]/[3760] Speed: 63.064898 samples/sec accuracy=10.663194 loss=4.515269 lr=0.024995 Epoch[003] Batch [2299]/[3760] Speed: 63.468004 samples/sec accuracy=10.667799 loss=4.514007 lr=0.025051 Epoch[003] Batch [2349]/[3760] Speed: 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lr=0.025605 Epoch[003] Batch [2849]/[3760] Speed: 63.194656 samples/sec accuracy=10.857456 loss=4.497195 lr=0.025660 Epoch[003] Batch [2899]/[3760] Speed: 63.024837 samples/sec accuracy=10.869612 loss=4.495259 lr=0.025716 Epoch[003] Batch [2949]/[3760] Speed: 63.174302 samples/sec accuracy=10.881886 loss=4.494099 lr=0.025771 Epoch[003] Batch [2999]/[3760] Speed: 62.708635 samples/sec accuracy=10.890104 loss=4.493389 lr=0.025827 Epoch[003] Batch [3049]/[3760] Speed: 62.825658 samples/sec accuracy=10.920594 loss=4.492459 lr=0.025882 Epoch[003] Batch [3099]/[3760] Speed: 63.408086 samples/sec accuracy=10.954637 loss=4.490501 lr=0.025937 Epoch[003] Batch [3149]/[3760] Speed: 62.634728 samples/sec accuracy=10.963790 loss=4.488326 lr=0.025993 Epoch[003] Batch [3199]/[3760] Speed: 63.646087 samples/sec accuracy=10.979980 loss=4.486527 lr=0.026048 Epoch[003] Batch [3249]/[3760] Speed: 62.807188 samples/sec accuracy=11.005769 loss=4.483819 lr=0.026104 Epoch[003] Batch [3299]/[3760] Speed: 63.084476 samples/sec accuracy=11.029830 loss=4.481885 lr=0.026159 Epoch[003] Batch [3349]/[3760] Speed: 63.140425 samples/sec accuracy=11.053638 loss=4.480300 lr=0.026215 Epoch[003] Batch [3399]/[3760] Speed: 62.737855 samples/sec accuracy=11.067096 loss=4.478656 lr=0.026270 Epoch[003] Batch [3449]/[3760] Speed: 63.486776 samples/sec accuracy=11.090127 loss=4.477036 lr=0.026325 Epoch[003] Batch [3499]/[3760] Speed: 63.169448 samples/sec accuracy=11.083482 loss=4.475813 lr=0.026381 Epoch[003] Batch [3549]/[3760] Speed: 63.203110 samples/sec accuracy=11.097711 loss=4.474662 lr=0.026436 Epoch[003] Batch [3599]/[3760] Speed: 63.376065 samples/sec accuracy=11.142361 loss=4.471853 lr=0.026492 Epoch[003] Batch [3649]/[3760] Speed: 62.757504 samples/sec accuracy=11.159675 loss=4.470273 lr=0.026547 Epoch[003] Batch [3699]/[3760] Speed: 63.304440 samples/sec accuracy=11.190034 loss=4.468219 lr=0.026603 Epoch[003] Batch [3749]/[3760] Speed: 66.892379 samples/sec accuracy=11.217083 loss=4.466211 lr=0.026658 Batch [0049]/[0303]: acc-top1=12.406250 acc-top5=31.937500 Batch [0099]/[0303]: acc-top1=11.968750 acc-top5=31.515625 Batch [0149]/[0303]: acc-top1=11.854167 acc-top5=31.416667 Batch [0199]/[0303]: acc-top1=11.968750 acc-top5=31.414062 Batch [0249]/[0303]: acc-top1=12.162500 acc-top5=31.543750 Batch [0299]/[0303]: acc-top1=12.093750 acc-top5=31.661458 [Epoch 003] training: accuracy=11.224235 loss=4.465933 [Epoch 003] speed: 62 samples/sec time cost: 4136.973968 [Epoch 003] validation: acc-top1=12.097772 acc-top5=31.688325 loss=4.394284 Epoch[004] Batch [0049]/[3760] Speed: 42.523361 samples/sec accuracy=12.031250 loss=4.316707 lr=0.026724 Epoch[004] Batch [0099]/[3760] Speed: 62.155807 samples/sec accuracy=12.812500 loss=4.301718 lr=0.026780 Epoch[004] Batch [0149]/[3760] Speed: 63.172948 samples/sec accuracy=12.791667 loss=4.327177 lr=0.026835 Epoch[004] Batch [0199]/[3760] Speed: 62.893151 samples/sec accuracy=13.039063 loss=4.320672 lr=0.026891 Epoch[004] Batch 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accuracy=13.075893 loss=4.313841 lr=0.027445 Epoch[004] Batch [0749]/[3760] Speed: 62.995109 samples/sec accuracy=13.143750 loss=4.309967 lr=0.027500 Epoch[004] Batch [0799]/[3760] Speed: 63.079570 samples/sec accuracy=13.095703 loss=4.308588 lr=0.027556 Epoch[004] Batch [0849]/[3760] Speed: 63.230046 samples/sec accuracy=13.080882 loss=4.306799 lr=0.027611 Epoch[004] Batch [0899]/[3760] Speed: 63.063315 samples/sec accuracy=13.194444 loss=4.300382 lr=0.027667 Epoch[004] Batch [0949]/[3760] Speed: 63.447319 samples/sec accuracy=13.172697 loss=4.300531 lr=0.027722 Epoch[004] Batch [0999]/[3760] Speed: 63.044190 samples/sec accuracy=13.201562 loss=4.297987 lr=0.027778 Epoch[004] Batch [1049]/[3760] Speed: 63.249520 samples/sec accuracy=13.230655 loss=4.295602 lr=0.027833 Epoch[004] Batch [1099]/[3760] Speed: 63.233621 samples/sec accuracy=13.215909 loss=4.295489 lr=0.027888 Epoch[004] Batch [1149]/[3760] Speed: 63.185500 samples/sec accuracy=13.233696 loss=4.295072 lr=0.027944 Epoch[004] 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accuracy=13.544508 loss=4.275804 lr=0.028498 Epoch[004] Batch [1699]/[3760] Speed: 62.859189 samples/sec accuracy=13.566176 loss=4.274650 lr=0.028553 Epoch[004] Batch [1749]/[3760] Speed: 63.312126 samples/sec accuracy=13.575893 loss=4.272948 lr=0.028609 Epoch[004] Batch [1799]/[3760] Speed: 62.935755 samples/sec accuracy=13.594618 loss=4.270503 lr=0.028664 Epoch[004] Batch [1849]/[3760] Speed: 63.354190 samples/sec accuracy=13.618243 loss=4.269795 lr=0.028720 Epoch[004] Batch [1899]/[3760] Speed: 62.999448 samples/sec accuracy=13.643914 loss=4.267214 lr=0.028775 Epoch[004] Batch [1949]/[3760] Speed: 62.834950 samples/sec accuracy=13.675481 loss=4.264951 lr=0.028831 Epoch[004] Batch [1999]/[3760] Speed: 63.641903 samples/sec accuracy=13.694531 loss=4.263981 lr=0.028886 Epoch[004] Batch [2049]/[3760] Speed: 63.219901 samples/sec accuracy=13.721799 loss=4.261318 lr=0.028941 Epoch[004] Batch [2099]/[3760] Speed: 63.521201 samples/sec accuracy=13.746280 loss=4.259507 lr=0.028997 Epoch[004] 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accuracy=13.981971 loss=4.246031 lr=0.029551 Epoch[004] Batch [2649]/[3760] Speed: 63.741659 samples/sec accuracy=14.021226 loss=4.243794 lr=0.029606 Epoch[004] Batch [2699]/[3760] Speed: 63.256010 samples/sec accuracy=14.044560 loss=4.242141 lr=0.029662 Epoch[004] Batch [2749]/[3760] Speed: 62.606656 samples/sec accuracy=14.056818 loss=4.239696 lr=0.029717 Epoch[004] Batch [2799]/[3760] Speed: 62.885998 samples/sec accuracy=14.081473 loss=4.237131 lr=0.029773 Epoch[004] Batch [2849]/[3760] Speed: 62.656320 samples/sec accuracy=14.104715 loss=4.235707 lr=0.029828 Epoch[004] Batch [2899]/[3760] Speed: 63.352938 samples/sec accuracy=14.130388 loss=4.233736 lr=0.029884 Epoch[004] Batch [2949]/[3760] Speed: 63.065879 samples/sec accuracy=14.144068 loss=4.232599 lr=0.029939 Epoch[004] Batch [2999]/[3760] Speed: 62.630325 samples/sec accuracy=14.168750 loss=4.230443 lr=0.029994 Epoch[004] Batch [3049]/[3760] Speed: 63.474514 samples/sec accuracy=14.188525 loss=4.228567 lr=0.030050 Epoch[004] 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accuracy=14.396567 loss=4.209510 lr=0.030604 Epoch[004] Batch [3599]/[3760] Speed: 63.487928 samples/sec accuracy=14.406684 loss=4.207301 lr=0.030660 Epoch[004] Batch [3649]/[3760] Speed: 63.084211 samples/sec accuracy=14.416952 loss=4.206157 lr=0.030715 Epoch[004] Batch [3699]/[3760] Speed: 63.114051 samples/sec accuracy=14.437922 loss=4.204114 lr=0.030770 Epoch[004] Batch [3749]/[3760] Speed: 66.837439 samples/sec accuracy=14.462917 loss=4.202396 lr=0.030826 Batch [0049]/[0303]: acc-top1=15.906250 acc-top5=37.312500 Batch [0099]/[0303]: acc-top1=15.593750 acc-top5=37.421875 Batch [0149]/[0303]: acc-top1=15.302083 acc-top5=37.312500 Batch [0199]/[0303]: acc-top1=15.460938 acc-top5=37.265625 Batch [0249]/[0303]: acc-top1=15.537500 acc-top5=37.375000 Batch [0299]/[0303]: acc-top1=15.651042 acc-top5=37.390625 [Epoch 004] training: accuracy=14.467670 loss=4.202058 [Epoch 004] speed: 62 samples/sec time cost: 4128.603202 [Epoch 004] validation: acc-top1=15.692038 acc-top5=37.386551 loss=4.260550 Epoch[005] Batch [0049]/[3759] Speed: 41.731194 samples/sec accuracy=16.062500 loss=4.094599 lr=0.030892 Epoch[005] Batch [0099]/[3759] Speed: 62.286137 samples/sec accuracy=16.078125 loss=4.082977 lr=0.030948 Epoch[005] Batch [0149]/[3759] Speed: 63.813961 samples/sec accuracy=16.239583 loss=4.058047 lr=0.031003 Epoch[005] Batch [0199]/[3759] Speed: 63.035401 samples/sec accuracy=16.179688 loss=4.060947 lr=0.031059 Epoch[005] Batch [0249]/[3759] Speed: 63.273706 samples/sec accuracy=16.250000 loss=4.052320 lr=0.031114 Epoch[005] Batch [0299]/[3759] Speed: 63.110837 samples/sec accuracy=16.296875 loss=4.056667 lr=0.031169 Epoch[005] Batch [0349]/[3759] Speed: 62.574478 samples/sec accuracy=16.272321 loss=4.048723 lr=0.031225 Epoch[005] Batch [0399]/[3759] Speed: 63.622371 samples/sec accuracy=16.246094 loss=4.044684 lr=0.031280 Epoch[005] Batch [0449]/[3759] Speed: 62.415454 samples/sec accuracy=16.305556 loss=4.042741 lr=0.031336 Epoch[005] Batch [0499]/[3759] Speed: 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lr=0.031890 Epoch[005] Batch [0999]/[3759] Speed: 62.880340 samples/sec accuracy=16.732812 loss=4.030221 lr=0.031945 Epoch[005] Batch [1049]/[3759] Speed: 63.354935 samples/sec accuracy=16.752976 loss=4.027616 lr=0.032001 Epoch[005] Batch [1099]/[3759] Speed: 62.968292 samples/sec accuracy=16.799716 loss=4.024351 lr=0.032056 Epoch[005] Batch [1149]/[3759] Speed: 63.294795 samples/sec accuracy=16.804348 loss=4.024286 lr=0.032112 Epoch[005] Batch [1199]/[3759] Speed: 63.520973 samples/sec accuracy=16.792969 loss=4.022988 lr=0.032167 Epoch[005] Batch [1249]/[3759] Speed: 62.867537 samples/sec accuracy=16.782500 loss=4.023939 lr=0.032222 Epoch[005] Batch [1299]/[3759] Speed: 63.193311 samples/sec accuracy=16.759615 loss=4.023864 lr=0.032278 Epoch[005] Batch [1349]/[3759] Speed: 62.857550 samples/sec accuracy=16.763889 loss=4.021733 lr=0.032333 Epoch[005] Batch [1399]/[3759] Speed: 62.870624 samples/sec accuracy=16.813616 loss=4.019140 lr=0.032389 Epoch[005] Batch [1449]/[3759] Speed: 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lr=0.032943 Epoch[005] Batch [1949]/[3759] Speed: 63.497480 samples/sec accuracy=17.004808 loss=4.000348 lr=0.032998 Epoch[005] Batch [1999]/[3759] Speed: 62.997771 samples/sec accuracy=17.008594 loss=3.999690 lr=0.033054 Epoch[005] Batch [2049]/[3759] Speed: 63.362047 samples/sec accuracy=17.022104 loss=3.998745 lr=0.033109 Epoch[005] Batch [2099]/[3759] Speed: 63.424376 samples/sec accuracy=17.014137 loss=3.998462 lr=0.033165 Epoch[005] Batch [2149]/[3759] Speed: 62.843594 samples/sec accuracy=17.057413 loss=3.995355 lr=0.033220 Epoch[005] Batch [2199]/[3759] Speed: 63.233311 samples/sec accuracy=17.086648 loss=3.994013 lr=0.033276 Epoch[005] Batch [2249]/[3759] Speed: 63.489325 samples/sec accuracy=17.108333 loss=3.993140 lr=0.033331 Epoch[005] Batch [2299]/[3759] Speed: 63.369939 samples/sec accuracy=17.123641 loss=3.991710 lr=0.033386 Epoch[005] Batch [2349]/[3759] Speed: 63.224929 samples/sec accuracy=17.132314 loss=3.990923 lr=0.033442 Epoch[005] Batch [2399]/[3759] Speed: 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lr=0.033996 Epoch[005] Batch [2899]/[3759] Speed: 63.088404 samples/sec accuracy=17.360991 loss=3.976434 lr=0.034051 Epoch[005] Batch [2949]/[3759] Speed: 63.056734 samples/sec accuracy=17.378708 loss=3.974928 lr=0.034107 Epoch[005] Batch [2999]/[3759] Speed: 63.183205 samples/sec accuracy=17.387500 loss=3.972973 lr=0.034162 Epoch[005] Batch [3049]/[3759] Speed: 63.961832 samples/sec accuracy=17.390369 loss=3.971327 lr=0.034218 Epoch[005] Batch [3099]/[3759] Speed: 63.212758 samples/sec accuracy=17.404234 loss=3.969397 lr=0.034273 Epoch[005] Batch [3149]/[3759] Speed: 63.421894 samples/sec accuracy=17.425595 loss=3.967585 lr=0.034329 Epoch[005] Batch [3199]/[3759] Speed: 63.163155 samples/sec accuracy=17.447266 loss=3.965943 lr=0.034384 Epoch[005] Batch [3249]/[3759] Speed: 63.395365 samples/sec accuracy=17.469712 loss=3.964601 lr=0.034439 Epoch[005] Batch [3299]/[3759] Speed: 63.504886 samples/sec accuracy=17.485322 loss=3.963314 lr=0.034495 Epoch[005] Batch [3349]/[3759] Speed: 63.372225 samples/sec accuracy=17.515392 loss=3.962251 lr=0.034550 Epoch[005] Batch [3399]/[3759] Speed: 63.500905 samples/sec accuracy=17.528033 loss=3.961729 lr=0.034606 Epoch[005] Batch [3449]/[3759] Speed: 63.669910 samples/sec accuracy=17.559330 loss=3.959639 lr=0.034661 Epoch[005] Batch [3499]/[3759] Speed: 63.031582 samples/sec accuracy=17.588393 loss=3.957882 lr=0.034717 Epoch[005] Batch [3549]/[3759] Speed: 63.414723 samples/sec accuracy=17.616197 loss=3.955928 lr=0.034772 Epoch[005] Batch [3599]/[3759] Speed: 63.499527 samples/sec accuracy=17.632812 loss=3.954577 lr=0.034827 Epoch[005] Batch [3649]/[3759] Speed: 63.257969 samples/sec accuracy=17.653682 loss=3.952833 lr=0.034883 Epoch[005] Batch [3699]/[3759] Speed: 63.045368 samples/sec accuracy=17.673564 loss=3.951438 lr=0.034938 Epoch[005] Batch [3749]/[3759] Speed: 67.441173 samples/sec accuracy=17.682917 loss=3.950343 lr=0.034994 Batch [0049]/[0303]: acc-top1=18.031250 acc-top5=41.718750 Batch [0099]/[0303]: acc-top1=18.359375 acc-top5=41.687500 Batch [0149]/[0303]: acc-top1=18.739583 acc-top5=42.020833 Batch [0199]/[0303]: acc-top1=18.835938 acc-top5=41.921875 Batch [0249]/[0303]: acc-top1=18.662500 acc-top5=41.800000 Batch [0299]/[0303]: acc-top1=18.760417 acc-top5=41.781250 [Epoch 005] training: accuracy=17.689628 loss=3.949904 [Epoch 005] speed: 62 samples/sec time cost: 4127.996979 [Epoch 005] validation: acc-top1=18.780941 acc-top5=41.831683 loss=4.023992 Epoch[006] Batch [0049]/[3760] Speed: 41.772737 samples/sec accuracy=20.031250 loss=3.811403 lr=0.035059 Epoch[006] Batch [0099]/[3760] Speed: 62.842993 samples/sec accuracy=20.421875 loss=3.782255 lr=0.035114 Epoch[006] Batch [0149]/[3760] Speed: 63.737178 samples/sec accuracy=20.302083 loss=3.786373 lr=0.035170 Epoch[006] Batch [0199]/[3760] Speed: 63.527823 samples/sec accuracy=20.242188 loss=3.801713 lr=0.035225 Epoch[006] Batch [0249]/[3760] Speed: 63.574241 samples/sec accuracy=20.112500 loss=3.792759 lr=0.035281 Epoch[006] 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accuracy=19.881250 loss=3.798958 lr=0.035835 Epoch[006] Batch [0799]/[3760] Speed: 63.808667 samples/sec accuracy=19.845703 loss=3.799136 lr=0.035890 Epoch[006] Batch [0849]/[3760] Speed: 63.342952 samples/sec accuracy=19.856618 loss=3.797744 lr=0.035946 Epoch[006] Batch [0899]/[3760] Speed: 63.728604 samples/sec accuracy=19.843750 loss=3.796220 lr=0.036001 Epoch[006] Batch [0949]/[3760] Speed: 63.401991 samples/sec accuracy=19.886513 loss=3.794870 lr=0.036057 Epoch[006] Batch [0999]/[3760] Speed: 63.271547 samples/sec accuracy=19.898438 loss=3.793326 lr=0.036112 Epoch[006] Batch [1049]/[3760] Speed: 63.532278 samples/sec accuracy=19.924107 loss=3.790366 lr=0.036167 Epoch[006] Batch [1099]/[3760] Speed: 63.245280 samples/sec accuracy=19.924716 loss=3.791417 lr=0.036223 Epoch[006] Batch [1149]/[3760] Speed: 62.934582 samples/sec accuracy=20.000000 loss=3.790582 lr=0.036278 Epoch[006] Batch [1199]/[3760] Speed: 63.116002 samples/sec accuracy=20.014323 loss=3.789363 lr=0.036334 Epoch[006] 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accuracy=20.103860 loss=3.781940 lr=0.036888 Epoch[006] Batch [1749]/[3760] Speed: 63.226107 samples/sec accuracy=20.125000 loss=3.780397 lr=0.036943 Epoch[006] Batch [1799]/[3760] Speed: 63.182133 samples/sec accuracy=20.144965 loss=3.778905 lr=0.036999 Epoch[006] Batch [1849]/[3760] Speed: 63.479251 samples/sec accuracy=20.158784 loss=3.778095 lr=0.037054 Epoch[006] Batch [1899]/[3760] Speed: 63.248995 samples/sec accuracy=20.185855 loss=3.775490 lr=0.037110 Epoch[006] Batch [1949]/[3760] Speed: 62.947046 samples/sec accuracy=20.200321 loss=3.774030 lr=0.037165 Epoch[006] Batch [1999]/[3760] Speed: 63.423153 samples/sec accuracy=20.228125 loss=3.772155 lr=0.037221 Epoch[006] Batch [2049]/[3760] Speed: 62.986003 samples/sec accuracy=20.233994 loss=3.771306 lr=0.037276 Epoch[006] Batch [2099]/[3760] Speed: 63.412422 samples/sec accuracy=20.261905 loss=3.770314 lr=0.037331 Epoch[006] Batch [2149]/[3760] Speed: 63.318682 samples/sec accuracy=20.276163 loss=3.770214 lr=0.037387 Epoch[006] 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accuracy=20.820312 loss=3.730218 lr=0.038994 Epoch[006] Batch [3649]/[3760] Speed: 63.623692 samples/sec accuracy=20.836045 loss=3.728937 lr=0.039049 Epoch[006] Batch [3699]/[3760] Speed: 63.442070 samples/sec accuracy=20.847128 loss=3.727303 lr=0.039105 Epoch[006] Batch [3749]/[3760] Speed: 66.836206 samples/sec accuracy=20.834583 loss=3.726881 lr=0.039160 Batch [0049]/[0303]: acc-top1=22.531250 acc-top5=47.250000 Batch [0099]/[0303]: acc-top1=21.906250 acc-top5=46.921875 Batch [0149]/[0303]: acc-top1=21.927083 acc-top5=47.020833 Batch [0199]/[0303]: acc-top1=22.015625 acc-top5=46.906250 Batch [0249]/[0303]: acc-top1=22.112500 acc-top5=47.006250 Batch [0299]/[0303]: acc-top1=22.083333 acc-top5=47.020833 [Epoch 006] training: accuracy=20.838597 loss=3.726586 [Epoch 006] speed: 62 samples/sec time cost: 4124.020302 [Epoch 006] validation: acc-top1=22.107054 acc-top5=47.065800 loss=3.735262 Epoch[007] Batch [0049]/[3760] Speed: 41.850965 samples/sec accuracy=23.031250 loss=3.565303 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lr=0.042386 Epoch[007] Batch [2949]/[3760] Speed: 63.569764 samples/sec accuracy=23.595339 loss=3.546357 lr=0.042441 Epoch[007] Batch [2999]/[3760] Speed: 63.873543 samples/sec accuracy=23.622396 loss=3.545547 lr=0.042497 Epoch[007] Batch [3049]/[3760] Speed: 62.983459 samples/sec accuracy=23.647029 loss=3.544059 lr=0.042552 Epoch[007] Batch [3099]/[3760] Speed: 63.379110 samples/sec accuracy=23.654738 loss=3.543456 lr=0.042608 Epoch[007] Batch [3149]/[3760] Speed: 62.843331 samples/sec accuracy=23.672123 loss=3.543423 lr=0.042663 Epoch[007] Batch [3199]/[3760] Speed: 64.121382 samples/sec accuracy=23.689453 loss=3.542823 lr=0.042719 Epoch[007] Batch [3249]/[3760] Speed: 63.213709 samples/sec accuracy=23.709135 loss=3.541800 lr=0.042774 Epoch[007] Batch [3299]/[3760] Speed: 63.512490 samples/sec accuracy=23.728220 loss=3.540207 lr=0.042829 Epoch[007] Batch [3349]/[3760] Speed: 63.662068 samples/sec accuracy=23.743004 loss=3.539252 lr=0.042885 Epoch[007] Batch [3399]/[3760] Speed: 63.194451 samples/sec accuracy=23.751838 loss=3.538361 lr=0.042940 Epoch[007] Batch [3449]/[3760] Speed: 63.794004 samples/sec accuracy=23.764040 loss=3.537598 lr=0.042996 Epoch[007] Batch [3499]/[3760] Speed: 62.607062 samples/sec accuracy=23.764286 loss=3.536925 lr=0.043051 Epoch[007] Batch [3549]/[3760] Speed: 63.496971 samples/sec accuracy=23.781690 loss=3.536014 lr=0.043106 Epoch[007] Batch [3599]/[3760] Speed: 63.102284 samples/sec accuracy=23.789931 loss=3.535402 lr=0.043162 Epoch[007] Batch [3649]/[3760] Speed: 63.492742 samples/sec accuracy=23.806507 loss=3.534395 lr=0.043217 Epoch[007] Batch [3699]/[3760] Speed: 63.371507 samples/sec accuracy=23.831081 loss=3.533040 lr=0.043273 Epoch[007] Batch [3749]/[3760] Speed: 67.513304 samples/sec accuracy=23.835833 loss=3.532778 lr=0.043328 Batch [0049]/[0303]: acc-top1=25.625000 acc-top5=51.562500 Batch [0099]/[0303]: acc-top1=25.234375 acc-top5=51.359375 Batch [0149]/[0303]: acc-top1=25.145833 acc-top5=51.333333 Batch [0199]/[0303]: acc-top1=25.289062 acc-top5=51.132812 Batch [0249]/[0303]: acc-top1=25.356250 acc-top5=51.293750 Batch [0299]/[0303]: acc-top1=25.505208 acc-top5=51.421875 [Epoch 007] training: accuracy=23.848903 loss=3.531890 [Epoch 007] speed: 62 samples/sec time cost: 4120.612158 [Epoch 007] validation: acc-top1=25.536304 acc-top5=51.443894 loss=3.506707 Epoch[008] Batch [0049]/[3759] Speed: 41.265910 samples/sec accuracy=23.812500 loss=3.468380 lr=0.043395 Epoch[008] Batch [0099]/[3759] Speed: 62.402988 samples/sec accuracy=24.640625 loss=3.427534 lr=0.043450 Epoch[008] Batch [0149]/[3759] Speed: 63.563823 samples/sec accuracy=25.125000 loss=3.421317 lr=0.043506 Epoch[008] Batch [0199]/[3759] Speed: 63.329240 samples/sec accuracy=25.656250 loss=3.414319 lr=0.043561 Epoch[008] Batch [0249]/[3759] Speed: 63.772615 samples/sec accuracy=25.756250 loss=3.410559 lr=0.043616 Epoch[008] Batch [0299]/[3759] Speed: 63.353698 samples/sec accuracy=25.927083 loss=3.410533 lr=0.043672 Epoch[008] Batch 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accuracy=26.052083 loss=3.387040 lr=0.046332 Epoch[008] Batch [2749]/[3759] Speed: 63.303812 samples/sec accuracy=26.081818 loss=3.385869 lr=0.046388 Epoch[008] Batch [2799]/[3759] Speed: 63.598243 samples/sec accuracy=26.106027 loss=3.385038 lr=0.046443 Epoch[008] Batch [2849]/[3759] Speed: 63.639081 samples/sec accuracy=26.131579 loss=3.384920 lr=0.046498 Epoch[008] Batch [2899]/[3759] Speed: 63.514397 samples/sec accuracy=26.150862 loss=3.383639 lr=0.046554 Epoch[008] Batch [2949]/[3759] Speed: 63.211488 samples/sec accuracy=26.173199 loss=3.382506 lr=0.046609 Epoch[008] Batch [2999]/[3759] Speed: 63.729190 samples/sec accuracy=26.185417 loss=3.381974 lr=0.046665 Epoch[008] Batch [3049]/[3759] Speed: 63.673254 samples/sec accuracy=26.211066 loss=3.380227 lr=0.046720 Epoch[008] Batch [3099]/[3759] Speed: 63.331612 samples/sec accuracy=26.220262 loss=3.379525 lr=0.046775 Epoch[008] Batch [3149]/[3759] Speed: 63.761193 samples/sec accuracy=26.246032 loss=3.378302 lr=0.046831 Epoch[008] 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accuracy=26.380565 loss=3.372117 lr=0.047385 Epoch[008] Batch [3699]/[3759] Speed: 64.191327 samples/sec accuracy=26.378378 loss=3.372259 lr=0.047441 Epoch[008] Batch [3749]/[3759] Speed: 67.454978 samples/sec accuracy=26.395833 loss=3.371188 lr=0.047496 Batch [0049]/[0303]: acc-top1=27.062500 acc-top5=55.312500 Batch [0099]/[0303]: acc-top1=27.031250 acc-top5=54.656250 Batch [0149]/[0303]: acc-top1=27.166667 acc-top5=54.322917 Batch [0199]/[0303]: acc-top1=27.437500 acc-top5=54.132813 Batch [0249]/[0303]: acc-top1=27.518750 acc-top5=54.137500 Batch [0299]/[0303]: acc-top1=27.458333 acc-top5=54.041667 [Epoch 008] training: accuracy=26.405377 loss=3.370855 [Epoch 008] speed: 63 samples/sec time cost: 4111.353600 [Epoch 008] validation: acc-top1=27.490718 acc-top5=54.079002 loss=3.358809 Epoch[009] Batch [0049]/[3760] Speed: 41.951975 samples/sec accuracy=27.406250 loss=3.277895 lr=0.047561 Epoch[009] Batch [0099]/[3760] Speed: 63.072207 samples/sec accuracy=27.343750 loss=3.298489 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lr=0.049723 Epoch[009] Batch [2049]/[3760] Speed: 64.104310 samples/sec accuracy=28.264482 loss=3.268662 lr=0.049778 Epoch[009] Batch [2099]/[3760] Speed: 64.101124 samples/sec accuracy=28.268601 loss=3.268152 lr=0.049834 Epoch[009] Batch [2149]/[3760] Speed: 64.688360 samples/sec accuracy=28.281977 loss=3.266974 lr=0.049889 Epoch[009] Batch [2199]/[3760] Speed: 63.717630 samples/sec accuracy=28.281250 loss=3.267153 lr=0.049945 Epoch[009] Batch [2249]/[3760] Speed: 63.413922 samples/sec accuracy=28.302778 loss=3.265865 lr=0.050000 Epoch[009] Batch [2299]/[3760] Speed: 64.365169 samples/sec accuracy=28.309783 loss=3.265027 lr=0.050055 Epoch[009] Batch [2349]/[3760] Speed: 63.830088 samples/sec accuracy=28.301862 loss=3.266203 lr=0.050111 Epoch[009] Batch [2399]/[3760] Speed: 63.850363 samples/sec accuracy=28.311849 loss=3.265742 lr=0.050166 Epoch[009] Batch [2449]/[3760] Speed: 64.163982 samples/sec accuracy=28.323980 loss=3.265191 lr=0.050222 Epoch[009] Batch [2499]/[3760] Speed: 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lr=0.050776 Epoch[009] Batch [2999]/[3760] Speed: 64.508003 samples/sec accuracy=28.497917 loss=3.253317 lr=0.050831 Epoch[009] Batch [3049]/[3760] Speed: 64.040734 samples/sec accuracy=28.518443 loss=3.252315 lr=0.050887 Epoch[009] Batch [3099]/[3760] Speed: 64.040616 samples/sec accuracy=28.527218 loss=3.251987 lr=0.050942 Epoch[009] Batch [3149]/[3760] Speed: 63.697956 samples/sec accuracy=28.551091 loss=3.251487 lr=0.050998 Epoch[009] Batch [3199]/[3760] Speed: 64.332259 samples/sec accuracy=28.563477 loss=3.250987 lr=0.051053 Epoch[009] Batch [3249]/[3760] Speed: 64.158240 samples/sec accuracy=28.570673 loss=3.249914 lr=0.051108 Epoch[009] Batch [3299]/[3760] Speed: 64.051743 samples/sec accuracy=28.596591 loss=3.249181 lr=0.051164 Epoch[009] Batch [3349]/[3760] Speed: 64.161397 samples/sec accuracy=28.604944 loss=3.248462 lr=0.051219 Epoch[009] Batch [3399]/[3760] Speed: 64.136268 samples/sec accuracy=28.619945 loss=3.248376 lr=0.051275 Epoch[009] Batch [3449]/[3760] Speed: 64.264554 samples/sec accuracy=28.635417 loss=3.248029 lr=0.051330 Epoch[009] Batch [3499]/[3760] Speed: 64.350683 samples/sec accuracy=28.648661 loss=3.247664 lr=0.051386 Epoch[009] Batch [3549]/[3760] Speed: 64.199872 samples/sec accuracy=28.652289 loss=3.247148 lr=0.051441 Epoch[009] Batch [3599]/[3760] Speed: 64.225675 samples/sec accuracy=28.656250 loss=3.247054 lr=0.051496 Epoch[009] Batch [3649]/[3760] Speed: 64.389912 samples/sec accuracy=28.672517 loss=3.246245 lr=0.051552 Epoch[009] Batch [3699]/[3760] Speed: 64.415057 samples/sec accuracy=28.691301 loss=3.245606 lr=0.051607 Epoch[009] Batch [3749]/[3760] Speed: 68.086741 samples/sec accuracy=28.704167 loss=3.244946 lr=0.051663 Batch [0049]/[0303]: acc-top1=27.687500 acc-top5=54.312500 Batch [0099]/[0303]: acc-top1=27.609375 acc-top5=54.203125 Batch [0149]/[0303]: acc-top1=27.541667 acc-top5=53.937500 Batch [0199]/[0303]: acc-top1=27.593750 acc-top5=53.859375 Batch [0249]/[0303]: acc-top1=27.837500 acc-top5=54.043750 Batch [0299]/[0303]: acc-top1=27.911458 acc-top5=54.119792 [Epoch 009] training: accuracy=28.715924 loss=3.244230 [Epoch 009] speed: 63 samples/sec time cost: 4075.284158 [Epoch 009] validation: acc-top1=27.913573 acc-top5=54.151196 loss=3.372839 Epoch[010] Batch [0049]/[3760] Speed: 42.810424 samples/sec accuracy=29.468750 loss=3.167717 lr=0.051729 Epoch[010] Batch [0099]/[3760] Speed: 62.556465 samples/sec accuracy=30.234375 loss=3.151124 lr=0.051785 Epoch[010] Batch [0149]/[3760] Speed: 64.543553 samples/sec accuracy=30.385417 loss=3.149501 lr=0.051840 Epoch[010] Batch [0199]/[3760] Speed: 63.699536 samples/sec accuracy=30.117187 loss=3.144145 lr=0.051895 Epoch[010] Batch [0249]/[3760] Speed: 64.374941 samples/sec accuracy=30.462500 loss=3.124773 lr=0.051951 Epoch[010] Batch [0299]/[3760] Speed: 63.994321 samples/sec accuracy=30.411458 loss=3.131418 lr=0.052006 Epoch[010] Batch [0349]/[3760] Speed: 64.205639 samples/sec accuracy=30.334821 loss=3.135319 lr=0.052062 Epoch[010] Batch 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accuracy=30.091912 loss=3.155741 lr=0.052616 Epoch[010] Batch [0899]/[3760] Speed: 63.761353 samples/sec accuracy=30.053819 loss=3.157852 lr=0.052671 Epoch[010] Batch [0949]/[3760] Speed: 64.293624 samples/sec accuracy=30.036184 loss=3.159917 lr=0.052727 Epoch[010] Batch [0999]/[3760] Speed: 63.818992 samples/sec accuracy=30.070312 loss=3.157950 lr=0.052782 Epoch[010] Batch [1049]/[3760] Speed: 64.308835 samples/sec accuracy=30.095238 loss=3.156860 lr=0.052838 Epoch[010] Batch [1099]/[3760] Speed: 64.132999 samples/sec accuracy=30.046875 loss=3.157319 lr=0.052893 Epoch[010] Batch [1149]/[3760] Speed: 64.445241 samples/sec accuracy=30.057065 loss=3.157266 lr=0.052949 Epoch[010] Batch [1199]/[3760] Speed: 64.313920 samples/sec accuracy=30.029948 loss=3.157661 lr=0.053004 Epoch[010] Batch [1249]/[3760] Speed: 64.722059 samples/sec accuracy=30.101250 loss=3.156731 lr=0.053059 Epoch[010] Batch [1299]/[3760] Speed: 63.812780 samples/sec accuracy=30.112981 loss=3.156296 lr=0.053115 Epoch[010] 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accuracy=30.245660 loss=3.149932 lr=0.053669 Epoch[010] Batch [1849]/[3760] Speed: 64.293536 samples/sec accuracy=30.271959 loss=3.148038 lr=0.053724 Epoch[010] Batch [1899]/[3760] Speed: 63.982773 samples/sec accuracy=30.220395 loss=3.150448 lr=0.053780 Epoch[010] Batch [1949]/[3760] Speed: 63.671492 samples/sec accuracy=30.253205 loss=3.148841 lr=0.053835 Epoch[010] Batch [1999]/[3760] Speed: 64.014542 samples/sec accuracy=30.278906 loss=3.148013 lr=0.053891 Epoch[010] Batch [2049]/[3760] Speed: 64.540850 samples/sec accuracy=30.269817 loss=3.148843 lr=0.053946 Epoch[010] Batch [2099]/[3760] Speed: 64.884359 samples/sec accuracy=30.278274 loss=3.148793 lr=0.054002 Epoch[010] Batch [2149]/[3760] Speed: 64.257519 samples/sec accuracy=30.291424 loss=3.148110 lr=0.054057 Epoch[010] Batch [2199]/[3760] Speed: 64.531908 samples/sec accuracy=30.289773 loss=3.148817 lr=0.054112 Epoch[010] Batch [2249]/[3760] Speed: 64.401537 samples/sec accuracy=30.292361 loss=3.149282 lr=0.054168 Epoch[010] 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accuracy=30.387500 loss=3.140433 lr=0.054722 Epoch[010] Batch [2799]/[3760] Speed: 63.757137 samples/sec accuracy=30.382812 loss=3.140384 lr=0.054777 Epoch[010] Batch [2849]/[3760] Speed: 63.852580 samples/sec accuracy=30.376096 loss=3.140812 lr=0.054833 Epoch[010] Batch [2899]/[3760] Speed: 64.233476 samples/sec accuracy=30.391164 loss=3.139717 lr=0.054888 Epoch[010] Batch [2949]/[3760] Speed: 63.864678 samples/sec accuracy=30.377119 loss=3.139771 lr=0.054944 Epoch[010] Batch [2999]/[3760] Speed: 63.927630 samples/sec accuracy=30.395833 loss=3.138477 lr=0.054999 Epoch[010] Batch [3049]/[3760] Speed: 64.460694 samples/sec accuracy=30.434426 loss=3.136631 lr=0.055055 Epoch[010] Batch [3099]/[3760] Speed: 64.255573 samples/sec accuracy=30.451109 loss=3.136721 lr=0.055110 Epoch[010] Batch [3149]/[3760] Speed: 63.986069 samples/sec accuracy=30.454861 loss=3.136436 lr=0.055165 Epoch[010] Batch [3199]/[3760] Speed: 64.483125 samples/sec accuracy=30.456543 loss=3.136576 lr=0.055221 Epoch[010] Batch [3249]/[3760] Speed: 64.215682 samples/sec accuracy=30.469231 loss=3.136554 lr=0.055276 Epoch[010] Batch [3299]/[3760] Speed: 63.874055 samples/sec accuracy=30.472538 loss=3.136059 lr=0.055332 Epoch[010] Batch [3349]/[3760] Speed: 64.095814 samples/sec accuracy=30.488806 loss=3.135681 lr=0.055387 Epoch[010] Batch [3399]/[3760] Speed: 63.952776 samples/sec accuracy=30.496324 loss=3.135206 lr=0.055443 Epoch[010] Batch [3449]/[3760] Speed: 64.675281 samples/sec accuracy=30.517663 loss=3.134722 lr=0.055498 Epoch[010] Batch [3499]/[3760] Speed: 64.399052 samples/sec accuracy=30.512054 loss=3.134467 lr=0.055553 Epoch[010] Batch [3549]/[3760] Speed: 63.768378 samples/sec accuracy=30.504842 loss=3.134712 lr=0.055609 Epoch[010] Batch [3599]/[3760] Speed: 64.308256 samples/sec accuracy=30.490451 loss=3.135600 lr=0.055664 Epoch[010] Batch [3649]/[3760] Speed: 64.014510 samples/sec accuracy=30.493151 loss=3.134976 lr=0.055720 Epoch[010] Batch [3699]/[3760] Speed: 64.215893 samples/sec accuracy=30.516470 loss=3.134275 lr=0.055775 Epoch[010] Batch [3749]/[3760] Speed: 67.951582 samples/sec accuracy=30.497083 loss=3.134908 lr=0.055831 Batch [0049]/[0303]: acc-top1=32.781250 acc-top5=59.500000 Batch [0099]/[0303]: acc-top1=32.546875 acc-top5=59.109375 Batch [0149]/[0303]: acc-top1=32.812500 acc-top5=59.281250 Batch [0199]/[0303]: acc-top1=32.843750 acc-top5=59.187500 Batch [0249]/[0303]: acc-top1=32.718750 acc-top5=59.381250 Batch [0299]/[0303]: acc-top1=32.729167 acc-top5=59.421875 [Epoch 010] training: accuracy=30.497424 loss=3.134964 [Epoch 010] speed: 63 samples/sec time cost: 4068.273229 [Epoch 010] validation: acc-top1=32.740305 acc-top5=59.498762 loss=3.086601 Epoch[011] Batch [0049]/[3759] Speed: 42.758170 samples/sec accuracy=31.062500 loss=3.072079 lr=0.055897 Epoch[011] Batch [0099]/[3759] Speed: 62.729387 samples/sec accuracy=31.921875 loss=3.072374 lr=0.055952 Epoch[011] Batch [0149]/[3759] Speed: 64.236167 samples/sec accuracy=31.541667 loss=3.081811 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lr=0.058114 Epoch[011] Batch [2099]/[3759] Speed: 64.368555 samples/sec accuracy=31.756696 loss=3.057642 lr=0.058169 Epoch[011] Batch [2149]/[3759] Speed: 63.910964 samples/sec accuracy=31.726017 loss=3.059546 lr=0.058225 Epoch[011] Batch [2199]/[3759] Speed: 64.208918 samples/sec accuracy=31.718750 loss=3.059963 lr=0.058280 Epoch[011] Batch [2249]/[3759] Speed: 63.980404 samples/sec accuracy=31.734722 loss=3.059585 lr=0.058336 Epoch[011] Batch [2299]/[3759] Speed: 64.419092 samples/sec accuracy=31.745245 loss=3.059021 lr=0.058391 Epoch[011] Batch [2349]/[3759] Speed: 64.354430 samples/sec accuracy=31.755319 loss=3.058711 lr=0.058446 Epoch[011] Batch [2399]/[3759] Speed: 63.743709 samples/sec accuracy=31.772135 loss=3.057864 lr=0.058502 Epoch[011] Batch [2449]/[3759] Speed: 64.317796 samples/sec accuracy=31.772959 loss=3.057977 lr=0.058557 Epoch[011] Batch [2499]/[3759] Speed: 64.230247 samples/sec accuracy=31.761875 loss=3.058770 lr=0.058613 Epoch[011] Batch [2549]/[3759] Speed: 64.173067 samples/sec accuracy=31.749387 loss=3.060226 lr=0.058668 Epoch[011] Batch [2599]/[3759] Speed: 64.411959 samples/sec accuracy=31.756611 loss=3.060118 lr=0.058724 Epoch[011] Batch [2649]/[3759] Speed: 64.215387 samples/sec accuracy=31.790684 loss=3.059095 lr=0.058779 Epoch[011] Batch [2699]/[3759] Speed: 64.156671 samples/sec accuracy=31.802083 loss=3.058396 lr=0.058834 Epoch[011] Batch [2749]/[3759] Speed: 63.644259 samples/sec accuracy=31.810795 loss=3.059530 lr=0.058890 Epoch[011] Batch [2799]/[3759] Speed: 64.291027 samples/sec accuracy=31.813058 loss=3.058861 lr=0.058945 Epoch[011] Batch [2849]/[3759] Speed: 64.162129 samples/sec accuracy=31.817982 loss=3.059480 lr=0.059001 Epoch[011] Batch [2899]/[3759] Speed: 64.462556 samples/sec accuracy=31.829203 loss=3.059124 lr=0.059056 Epoch[011] Batch [2949]/[3759] Speed: 64.004112 samples/sec accuracy=31.847987 loss=3.058809 lr=0.059112 Epoch[011] Batch [2999]/[3759] Speed: 64.357479 samples/sec accuracy=31.842708 loss=3.059070 lr=0.059167 Epoch[011] Batch [3049]/[3759] Speed: 63.970058 samples/sec accuracy=31.858094 loss=3.058994 lr=0.059222 Epoch[011] Batch [3099]/[3759] Speed: 63.897099 samples/sec accuracy=31.881048 loss=3.058616 lr=0.059278 Epoch[011] Batch [3149]/[3759] Speed: 64.444151 samples/sec accuracy=31.907242 loss=3.057618 lr=0.059333 Epoch[011] Batch [3199]/[3759] Speed: 64.192616 samples/sec accuracy=31.914062 loss=3.057168 lr=0.059389 Epoch[011] Batch [3249]/[3759] Speed: 63.981792 samples/sec accuracy=31.900000 loss=3.056816 lr=0.059444 Epoch[011] Batch [3299]/[3759] Speed: 63.902889 samples/sec accuracy=31.903883 loss=3.056592 lr=0.059500 Epoch[011] Batch [3349]/[3759] Speed: 63.523984 samples/sec accuracy=31.894123 loss=3.056647 lr=0.059555 Epoch[011] Batch [3399]/[3759] Speed: 64.222108 samples/sec accuracy=31.900276 loss=3.056535 lr=0.059610 Epoch[011] Batch [3449]/[3759] Speed: 64.651877 samples/sec accuracy=31.894022 loss=3.056528 lr=0.059666 Epoch[011] Batch [3499]/[3759] Speed: 64.337566 samples/sec accuracy=31.917411 loss=3.056330 lr=0.059721 Epoch[011] Batch [3549]/[3759] Speed: 64.379952 samples/sec accuracy=31.921215 loss=3.056084 lr=0.059777 Epoch[011] Batch [3599]/[3759] Speed: 64.161128 samples/sec accuracy=31.946615 loss=3.054898 lr=0.059832 Epoch[011] Batch [3649]/[3759] Speed: 63.726738 samples/sec accuracy=31.936216 loss=3.055598 lr=0.059887 Epoch[011] Batch [3699]/[3759] Speed: 64.623538 samples/sec accuracy=31.953125 loss=3.054956 lr=0.059943 Epoch[011] Batch [3749]/[3759] Speed: 67.822660 samples/sec accuracy=31.944583 loss=3.054833 lr=0.059998 Batch [0049]/[0303]: acc-top1=30.781250 acc-top5=58.625000 Batch [0099]/[0303]: acc-top1=30.875000 acc-top5=58.328125 Batch [0149]/[0303]: acc-top1=30.875000 acc-top5=58.500000 Batch [0199]/[0303]: acc-top1=30.890625 acc-top5=58.445312 Batch [0249]/[0303]: acc-top1=31.025000 acc-top5=58.637500 Batch [0299]/[0303]: acc-top1=31.104167 acc-top5=58.572917 [Epoch 011] training: accuracy=31.945830 loss=3.054730 [Epoch 011] speed: 63 samples/sec time cost: 4067.194197 [Epoch 011] validation: acc-top1=31.152021 acc-top5=58.580858 loss=3.247997 Epoch[012] Batch [0049]/[3760] Speed: 42.676034 samples/sec accuracy=33.531250 loss=2.987593 lr=0.060064 Epoch[012] Batch [0099]/[3760] Speed: 63.062524 samples/sec accuracy=33.265625 loss=2.983814 lr=0.060119 Epoch[012] Batch [0149]/[3760] Speed: 63.686445 samples/sec accuracy=33.052083 loss=2.998292 lr=0.060175 Epoch[012] Batch [0199]/[3760] Speed: 64.134007 samples/sec accuracy=33.140625 loss=2.991561 lr=0.060230 Epoch[012] Batch [0249]/[3760] Speed: 64.564239 samples/sec accuracy=33.075000 loss=2.989790 lr=0.060285 Epoch[012] Batch [0299]/[3760] Speed: 63.989748 samples/sec accuracy=33.213542 loss=2.986759 lr=0.060341 Epoch[012] Batch [0349]/[3760] Speed: 64.097958 samples/sec accuracy=33.245536 loss=2.984348 lr=0.060396 Epoch[012] Batch [0399]/[3760] Speed: 64.442443 samples/sec accuracy=33.070312 loss=2.993636 lr=0.060452 Epoch[012] Batch 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accuracy=33.013889 loss=2.994929 lr=0.061006 Epoch[012] Batch [0949]/[3760] Speed: 64.416583 samples/sec accuracy=33.103618 loss=2.993299 lr=0.061061 Epoch[012] Batch [0999]/[3760] Speed: 64.329824 samples/sec accuracy=33.051562 loss=2.993749 lr=0.061117 Epoch[012] Batch [1049]/[3760] Speed: 63.865679 samples/sec accuracy=33.153274 loss=2.989675 lr=0.061172 Epoch[012] Batch [1099]/[3760] Speed: 64.137266 samples/sec accuracy=33.167614 loss=2.988124 lr=0.061228 Epoch[012] Batch [1149]/[3760] Speed: 64.208556 samples/sec accuracy=33.130435 loss=2.989075 lr=0.061283 Epoch[012] Batch [1199]/[3760] Speed: 64.367687 samples/sec accuracy=33.108073 loss=2.988104 lr=0.061338 Epoch[012] Batch [1249]/[3760] Speed: 63.952514 samples/sec accuracy=33.115000 loss=2.989979 lr=0.061394 Epoch[012] Batch [1299]/[3760] Speed: 63.758877 samples/sec accuracy=33.048077 loss=2.992081 lr=0.061449 Epoch[012] Batch [1349]/[3760] Speed: 64.171352 samples/sec accuracy=33.010417 loss=2.992437 lr=0.061505 Epoch[012] 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accuracy=33.021959 loss=2.997146 lr=0.062059 Epoch[012] Batch [1899]/[3760] Speed: 64.374956 samples/sec accuracy=33.028783 loss=2.996720 lr=0.062114 Epoch[012] Batch [1949]/[3760] Speed: 64.466905 samples/sec accuracy=33.012019 loss=2.997488 lr=0.062170 Epoch[012] Batch [1999]/[3760] Speed: 64.054052 samples/sec accuracy=33.002344 loss=2.998476 lr=0.062225 Epoch[012] Batch [2049]/[3760] Speed: 64.023473 samples/sec accuracy=33.002287 loss=2.998384 lr=0.062281 Epoch[012] Batch [2099]/[3760] Speed: 64.129906 samples/sec accuracy=32.980655 loss=2.998852 lr=0.062336 Epoch[012] Batch [2149]/[3760] Speed: 64.115839 samples/sec accuracy=32.973110 loss=2.999262 lr=0.062392 Epoch[012] Batch [2199]/[3760] Speed: 64.166853 samples/sec accuracy=32.984375 loss=2.998084 lr=0.062447 Epoch[012] Batch [2249]/[3760] Speed: 64.305270 samples/sec accuracy=33.002083 loss=2.997174 lr=0.062502 Epoch[012] Batch [2299]/[3760] Speed: 64.361208 samples/sec accuracy=32.995924 loss=2.996834 lr=0.062558 Epoch[012] 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accuracy=33.044643 loss=2.995338 lr=0.063112 Epoch[012] Batch [2849]/[3760] Speed: 64.058679 samples/sec accuracy=33.052632 loss=2.995723 lr=0.063167 Epoch[012] Batch [2899]/[3760] Speed: 64.431980 samples/sec accuracy=33.043103 loss=2.996087 lr=0.063223 Epoch[012] Batch [2949]/[3760] Speed: 64.368045 samples/sec accuracy=33.050847 loss=2.995486 lr=0.063278 Epoch[012] Batch [2999]/[3760] Speed: 64.388039 samples/sec accuracy=33.073438 loss=2.994843 lr=0.063334 Epoch[012] Batch [3049]/[3760] Speed: 64.373385 samples/sec accuracy=33.083504 loss=2.993673 lr=0.063389 Epoch[012] Batch [3099]/[3760] Speed: 64.214504 samples/sec accuracy=33.094254 loss=2.993519 lr=0.063445 Epoch[012] Batch [3149]/[3760] Speed: 63.849290 samples/sec accuracy=33.090774 loss=2.993429 lr=0.063500 Epoch[012] Batch [3199]/[3760] Speed: 64.667040 samples/sec accuracy=33.091797 loss=2.993800 lr=0.063555 Epoch[012] Batch [3249]/[3760] Speed: 64.125052 samples/sec accuracy=33.108654 loss=2.992666 lr=0.063611 Epoch[012] 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accuracy=33.152083 loss=2.992590 lr=0.064165 Batch [0049]/[0303]: acc-top1=35.375000 acc-top5=61.625000 Batch [0099]/[0303]: acc-top1=35.343750 acc-top5=62.093750 Batch [0149]/[0303]: acc-top1=35.406250 acc-top5=62.312500 Batch [0199]/[0303]: acc-top1=35.375000 acc-top5=62.226563 Batch [0249]/[0303]: acc-top1=35.325000 acc-top5=62.406250 Batch [0299]/[0303]: acc-top1=35.250000 acc-top5=62.333333 [Epoch 012] training: accuracy=33.157414 loss=2.992537 [Epoch 012] speed: 63 samples/sec time cost: 4066.355807 [Epoch 012] validation: acc-top1=35.292904 acc-top5=62.329827 loss=2.957710 Epoch[013] Batch [0049]/[3760] Speed: 42.369682 samples/sec accuracy=35.312500 loss=2.917681 lr=0.064232 Epoch[013] Batch [0099]/[3760] Speed: 62.418043 samples/sec accuracy=34.875000 loss=2.905091 lr=0.064287 Epoch[013] Batch [0149]/[3760] Speed: 64.082407 samples/sec accuracy=35.020833 loss=2.918742 lr=0.064342 Epoch[013] Batch [0199]/[3760] Speed: 63.425976 samples/sec accuracy=34.882812 loss=2.910301 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lr=0.065451 Epoch[013] Batch [1199]/[3760] Speed: 64.491658 samples/sec accuracy=34.170573 loss=2.941448 lr=0.065506 Epoch[013] Batch [1249]/[3760] Speed: 64.128681 samples/sec accuracy=34.175000 loss=2.939860 lr=0.065562 Epoch[013] Batch [1299]/[3760] Speed: 64.585643 samples/sec accuracy=34.162260 loss=2.939260 lr=0.065617 Epoch[013] Batch [1349]/[3760] Speed: 64.034354 samples/sec accuracy=34.153935 loss=2.939050 lr=0.065673 Epoch[013] Batch [1399]/[3760] Speed: 64.203755 samples/sec accuracy=34.156250 loss=2.939527 lr=0.065728 Epoch[013] Batch [1449]/[3760] Speed: 64.131281 samples/sec accuracy=34.196121 loss=2.937488 lr=0.065783 Epoch[013] Batch [1499]/[3760] Speed: 64.443668 samples/sec accuracy=34.150000 loss=2.939512 lr=0.065839 Epoch[013] Batch [1549]/[3760] Speed: 63.705973 samples/sec accuracy=34.149194 loss=2.938848 lr=0.065894 Epoch[013] Batch [1599]/[3760] Speed: 64.010017 samples/sec accuracy=34.171875 loss=2.937871 lr=0.065950 Epoch[013] Batch [1649]/[3760] Speed: 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lr=0.066504 Epoch[013] Batch [2149]/[3760] Speed: 63.668016 samples/sec accuracy=34.170058 loss=2.937991 lr=0.066559 Epoch[013] Batch [2199]/[3760] Speed: 64.151918 samples/sec accuracy=34.145597 loss=2.938615 lr=0.066615 Epoch[013] Batch [2249]/[3760] Speed: 64.082303 samples/sec accuracy=34.159722 loss=2.937867 lr=0.066670 Epoch[013] Batch [2299]/[3760] Speed: 64.333503 samples/sec accuracy=34.141304 loss=2.938845 lr=0.066726 Epoch[013] Batch [2349]/[3760] Speed: 64.215228 samples/sec accuracy=34.138298 loss=2.938677 lr=0.066781 Epoch[013] Batch [2399]/[3760] Speed: 64.135804 samples/sec accuracy=34.145833 loss=2.937360 lr=0.066836 Epoch[013] Batch [2449]/[3760] Speed: 64.241881 samples/sec accuracy=34.136480 loss=2.936735 lr=0.066892 Epoch[013] Batch [2499]/[3760] Speed: 64.089097 samples/sec accuracy=34.126250 loss=2.937857 lr=0.066947 Epoch[013] Batch [2549]/[3760] Speed: 64.245080 samples/sec accuracy=34.118873 loss=2.938055 lr=0.067003 Epoch[013] Batch [2599]/[3760] Speed: 64.076918 samples/sec accuracy=34.139423 loss=2.937451 lr=0.067058 Epoch[013] Batch [2649]/[3760] Speed: 64.347785 samples/sec accuracy=34.147995 loss=2.937772 lr=0.067114 Epoch[013] Batch [2699]/[3760] Speed: 64.469228 samples/sec accuracy=34.129630 loss=2.937910 lr=0.067169 Epoch[013] Batch [2749]/[3760] Speed: 64.194012 samples/sec accuracy=34.091477 loss=2.938343 lr=0.067224 Epoch[013] Batch [2799]/[3760] Speed: 64.428108 samples/sec accuracy=34.113839 loss=2.938430 lr=0.067280 Epoch[013] Batch [2849]/[3760] Speed: 64.115923 samples/sec accuracy=34.126096 loss=2.938350 lr=0.067335 Epoch[013] Batch [2899]/[3760] Speed: 64.152853 samples/sec accuracy=34.124461 loss=2.937888 lr=0.067391 Epoch[013] Batch [2949]/[3760] Speed: 63.917413 samples/sec accuracy=34.144597 loss=2.936828 lr=0.067446 Epoch[013] Batch [2999]/[3760] Speed: 63.962897 samples/sec accuracy=34.147396 loss=2.937006 lr=0.067502 Epoch[013] Batch [3049]/[3760] Speed: 63.989232 samples/sec accuracy=34.141906 loss=2.937548 lr=0.067557 Epoch[013] Batch [3099]/[3760] Speed: 64.126381 samples/sec accuracy=34.160786 loss=2.936963 lr=0.067612 Epoch[013] Batch [3149]/[3760] Speed: 63.784567 samples/sec accuracy=34.128968 loss=2.937883 lr=0.067668 Epoch[013] Batch [3199]/[3760] Speed: 64.797581 samples/sec accuracy=34.121582 loss=2.937571 lr=0.067723 Epoch[013] Batch [3249]/[3760] Speed: 63.578851 samples/sec accuracy=34.122596 loss=2.937739 lr=0.067779 Epoch[013] Batch [3299]/[3760] Speed: 64.522336 samples/sec accuracy=34.109375 loss=2.938657 lr=0.067834 Epoch[013] Batch [3349]/[3760] Speed: 63.831456 samples/sec accuracy=34.088619 loss=2.939936 lr=0.067889 Epoch[013] Batch [3399]/[3760] Speed: 63.940608 samples/sec accuracy=34.106158 loss=2.939026 lr=0.067945 Epoch[013] Batch [3449]/[3760] Speed: 63.675990 samples/sec accuracy=34.108696 loss=2.939631 lr=0.068000 Epoch[013] Batch [3499]/[3760] Speed: 64.232456 samples/sec accuracy=34.109375 loss=2.939093 lr=0.068056 Epoch[013] Batch [3549]/[3760] Speed: 63.845405 samples/sec accuracy=34.099912 loss=2.938923 lr=0.068111 Epoch[013] Batch [3599]/[3760] Speed: 64.127493 samples/sec accuracy=34.103733 loss=2.938697 lr=0.068167 Epoch[013] Batch [3649]/[3760] Speed: 64.487814 samples/sec accuracy=34.102740 loss=2.938136 lr=0.068222 Epoch[013] Batch [3699]/[3760] Speed: 63.896309 samples/sec accuracy=34.085726 loss=2.938148 lr=0.068277 Epoch[013] Batch [3749]/[3760] Speed: 67.796902 samples/sec accuracy=34.087083 loss=2.937901 lr=0.068333 Batch [0049]/[0303]: acc-top1=34.937500 acc-top5=62.000000 Batch [0099]/[0303]: acc-top1=34.093750 acc-top5=62.343750 Batch [0149]/[0303]: acc-top1=34.468750 acc-top5=62.552083 Batch [0199]/[0303]: acc-top1=34.648438 acc-top5=62.335938 Batch [0249]/[0303]: acc-top1=34.787500 acc-top5=62.512500 Batch [0299]/[0303]: acc-top1=34.828125 acc-top5=62.578125 [Epoch 013] training: accuracy=34.090342 loss=2.937870 [Epoch 013] speed: 63 samples/sec time cost: 4070.362398 [Epoch 013] validation: acc-top1=34.849422 acc-top5=62.618606 loss=3.041471 Epoch[014] Batch [0049]/[3759] Speed: 42.502611 samples/sec accuracy=35.656250 loss=2.826662 lr=0.068399 Epoch[014] Batch [0099]/[3759] Speed: 62.569219 samples/sec accuracy=35.093750 loss=2.873266 lr=0.068455 Epoch[014] Batch [0149]/[3759] Speed: 64.219819 samples/sec accuracy=35.416667 loss=2.847227 lr=0.068510 Epoch[014] Batch [0199]/[3759] Speed: 63.199710 samples/sec accuracy=35.515625 loss=2.845729 lr=0.068566 Epoch[014] Batch [0249]/[3759] Speed: 64.363760 samples/sec accuracy=35.506250 loss=2.853262 lr=0.068621 Epoch[014] Batch [0299]/[3759] Speed: 63.381304 samples/sec accuracy=35.380208 loss=2.860318 lr=0.068676 Epoch[014] Batch [0349]/[3759] Speed: 64.174186 samples/sec accuracy=35.174107 loss=2.867049 lr=0.068732 Epoch[014] Batch [0399]/[3759] Speed: 63.760625 samples/sec accuracy=35.109375 loss=2.870279 lr=0.068787 Epoch[014] Batch [0449]/[3759] Speed: 63.948212 samples/sec accuracy=35.194444 loss=2.872725 lr=0.068843 Epoch[014] Batch 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accuracy=34.911732 loss=2.900703 lr=0.071503 Epoch[014] Batch [2899]/[3759] Speed: 64.448747 samples/sec accuracy=34.894397 loss=2.901385 lr=0.071558 Epoch[014] Batch [2949]/[3759] Speed: 63.993046 samples/sec accuracy=34.888771 loss=2.901092 lr=0.071614 Epoch[014] Batch [2999]/[3759] Speed: 64.398450 samples/sec accuracy=34.889063 loss=2.900981 lr=0.071669 Epoch[014] Batch [3049]/[3759] Speed: 64.287895 samples/sec accuracy=34.881148 loss=2.900027 lr=0.071725 Epoch[014] Batch [3099]/[3759] Speed: 64.035918 samples/sec accuracy=34.876008 loss=2.900070 lr=0.071780 Epoch[014] Batch [3149]/[3759] Speed: 64.180610 samples/sec accuracy=34.871528 loss=2.900838 lr=0.071836 Epoch[014] Batch [3199]/[3759] Speed: 64.151936 samples/sec accuracy=34.871094 loss=2.900921 lr=0.071891 Epoch[014] Batch [3249]/[3759] Speed: 64.346687 samples/sec accuracy=34.859135 loss=2.901451 lr=0.071946 Epoch[014] Batch [3299]/[3759] Speed: 64.755822 samples/sec accuracy=34.880682 loss=2.900116 lr=0.072002 Epoch[014] 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[0099]/[0303]: acc-top1=34.796875 acc-top5=61.843750 Batch [0149]/[0303]: acc-top1=35.250000 acc-top5=62.052083 Batch [0199]/[0303]: acc-top1=35.257812 acc-top5=61.953125 Batch [0249]/[0303]: acc-top1=35.262500 acc-top5=62.193750 Batch [0299]/[0303]: acc-top1=35.177083 acc-top5=62.223958 [Epoch 014] training: accuracy=34.873387 loss=2.900048 [Epoch 014] speed: 63 samples/sec time cost: 4064.627800 [Epoch 014] validation: acc-top1=35.215553 acc-top5=62.267946 loss=3.046602 Epoch[015] Batch [0049]/[3760] Speed: 42.280828 samples/sec accuracy=37.187500 loss=2.841918 lr=0.072566 Epoch[015] Batch [0099]/[3760] Speed: 62.684494 samples/sec accuracy=36.750000 loss=2.819874 lr=0.072622 Epoch[015] Batch [0149]/[3760] Speed: 63.964760 samples/sec accuracy=36.250000 loss=2.833173 lr=0.072677 Epoch[015] Batch [0199]/[3760] Speed: 63.674933 samples/sec accuracy=36.101562 loss=2.829805 lr=0.072732 Epoch[015] Batch [0249]/[3760] Speed: 64.899013 samples/sec accuracy=36.143750 loss=2.825076 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lr=0.074894 Epoch[015] Batch [2199]/[3760] Speed: 64.418009 samples/sec accuracy=35.318182 loss=2.864506 lr=0.074949 Epoch[015] Batch [2249]/[3760] Speed: 64.337802 samples/sec accuracy=35.350694 loss=2.863321 lr=0.075005 Epoch[015] Batch [2299]/[3760] Speed: 63.961661 samples/sec accuracy=35.375000 loss=2.862287 lr=0.075060 Epoch[015] Batch [2349]/[3760] Speed: 64.328619 samples/sec accuracy=35.390293 loss=2.861799 lr=0.075116 Epoch[015] Batch [2399]/[3760] Speed: 63.934457 samples/sec accuracy=35.382161 loss=2.861797 lr=0.075171 Epoch[015] Batch [2449]/[3760] Speed: 64.219359 samples/sec accuracy=35.368622 loss=2.862059 lr=0.075226 Epoch[015] Batch [2499]/[3760] Speed: 64.592644 samples/sec accuracy=35.359375 loss=2.862884 lr=0.075282 Epoch[015] Batch [2549]/[3760] Speed: 64.050712 samples/sec accuracy=35.364583 loss=2.863873 lr=0.075337 Epoch[015] Batch [2599]/[3760] Speed: 64.506926 samples/sec accuracy=35.348558 loss=2.864337 lr=0.075393 Epoch[015] Batch [2649]/[3760] Speed: 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lr=0.075947 Epoch[015] Batch [3149]/[3760] Speed: 63.967363 samples/sec accuracy=35.335317 loss=2.865914 lr=0.076002 Epoch[015] Batch [3199]/[3760] Speed: 64.514982 samples/sec accuracy=35.339844 loss=2.866229 lr=0.076058 Epoch[015] Batch [3249]/[3760] Speed: 64.573123 samples/sec accuracy=35.360577 loss=2.866213 lr=0.076113 Epoch[015] Batch [3299]/[3760] Speed: 64.268568 samples/sec accuracy=35.355114 loss=2.867316 lr=0.076169 Epoch[015] Batch [3349]/[3760] Speed: 64.026000 samples/sec accuracy=35.332090 loss=2.868472 lr=0.076224 Epoch[015] Batch [3399]/[3760] Speed: 64.170680 samples/sec accuracy=35.324449 loss=2.868788 lr=0.076279 Epoch[015] Batch [3449]/[3760] Speed: 64.256886 samples/sec accuracy=35.313406 loss=2.869525 lr=0.076335 Epoch[015] Batch [3499]/[3760] Speed: 64.217813 samples/sec accuracy=35.341518 loss=2.868783 lr=0.076390 Epoch[015] Batch [3549]/[3760] Speed: 64.098204 samples/sec accuracy=35.332746 loss=2.869611 lr=0.076446 Epoch[015] Batch [3599]/[3760] Speed: 64.468126 samples/sec accuracy=35.332899 loss=2.869153 lr=0.076501 Epoch[015] Batch [3649]/[3760] Speed: 64.125754 samples/sec accuracy=35.315925 loss=2.870090 lr=0.076557 Epoch[015] Batch [3699]/[3760] Speed: 63.783525 samples/sec accuracy=35.316723 loss=2.870860 lr=0.076612 Epoch[015] Batch [3749]/[3760] Speed: 67.786702 samples/sec accuracy=35.322083 loss=2.870487 lr=0.076667 Batch [0049]/[0303]: acc-top1=33.750000 acc-top5=61.843750 Batch [0099]/[0303]: acc-top1=34.109375 acc-top5=61.843750 Batch [0149]/[0303]: acc-top1=34.197917 acc-top5=61.656250 Batch [0199]/[0303]: acc-top1=34.250000 acc-top5=61.750000 Batch [0249]/[0303]: acc-top1=34.306250 acc-top5=61.862500 Batch [0299]/[0303]: acc-top1=34.302083 acc-top5=61.770833 [Epoch 015] training: accuracy=35.323720 loss=2.870412 [Epoch 015] speed: 63 samples/sec time cost: 4064.754038 [Epoch 015] validation: acc-top1=34.313119 acc-top5=61.814150 loss=3.134540 Epoch[016] Batch [0049]/[3760] Speed: 42.363995 samples/sec accuracy=35.531250 loss=2.861095 lr=0.076734 Epoch[016] Batch [0099]/[3760] Speed: 62.031668 samples/sec accuracy=35.562500 loss=2.845763 lr=0.076789 Epoch[016] Batch [0149]/[3760] Speed: 64.475567 samples/sec accuracy=35.958333 loss=2.839771 lr=0.076845 Epoch[016] Batch [0199]/[3760] Speed: 63.792981 samples/sec accuracy=36.242188 loss=2.822475 lr=0.076900 Epoch[016] Batch [0249]/[3760] Speed: 64.273596 samples/sec accuracy=36.281250 loss=2.821901 lr=0.076956 Epoch[016] Batch [0299]/[3760] Speed: 63.858006 samples/sec accuracy=36.041667 loss=2.832747 lr=0.077011 Epoch[016] Batch [0349]/[3760] Speed: 64.660196 samples/sec accuracy=36.147321 loss=2.829054 lr=0.077066 Epoch[016] Batch [0399]/[3760] Speed: 64.109133 samples/sec accuracy=36.242188 loss=2.823582 lr=0.077122 Epoch[016] Batch [0449]/[3760] Speed: 63.818763 samples/sec accuracy=36.125000 loss=2.828654 lr=0.077177 Epoch[016] Batch [0499]/[3760] Speed: 64.932160 samples/sec accuracy=36.106250 loss=2.829838 lr=0.077233 Epoch[016] 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accuracy=36.090625 loss=2.831813 lr=0.077787 Epoch[016] Batch [1049]/[3760] Speed: 64.434085 samples/sec accuracy=36.068452 loss=2.834110 lr=0.077842 Epoch[016] Batch [1099]/[3760] Speed: 64.796032 samples/sec accuracy=36.061080 loss=2.833239 lr=0.077898 Epoch[016] Batch [1149]/[3760] Speed: 63.937512 samples/sec accuracy=36.125000 loss=2.833025 lr=0.077953 Epoch[016] Batch [1199]/[3760] Speed: 64.221215 samples/sec accuracy=36.091146 loss=2.836306 lr=0.078009 Epoch[016] Batch [1249]/[3760] Speed: 64.310243 samples/sec accuracy=36.088750 loss=2.837316 lr=0.078064 Epoch[016] Batch [1299]/[3760] Speed: 63.947386 samples/sec accuracy=36.052885 loss=2.838258 lr=0.078119 Epoch[016] Batch [1349]/[3760] Speed: 64.173815 samples/sec accuracy=36.087963 loss=2.838074 lr=0.078175 Epoch[016] Batch [1399]/[3760] Speed: 64.198286 samples/sec accuracy=36.080357 loss=2.838468 lr=0.078230 Epoch[016] Batch [1449]/[3760] Speed: 64.305294 samples/sec accuracy=36.079741 loss=2.836876 lr=0.078286 Epoch[016] 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accuracy=35.988782 loss=2.844754 lr=0.078840 Epoch[016] Batch [1999]/[3760] Speed: 64.408476 samples/sec accuracy=35.976562 loss=2.845968 lr=0.078895 Epoch[016] Batch [2049]/[3760] Speed: 64.330128 samples/sec accuracy=35.970274 loss=2.846817 lr=0.078951 Epoch[016] Batch [2099]/[3760] Speed: 64.430885 samples/sec accuracy=35.974702 loss=2.847086 lr=0.079006 Epoch[016] Batch [2149]/[3760] Speed: 64.255277 samples/sec accuracy=35.950581 loss=2.848192 lr=0.079062 Epoch[016] Batch [2199]/[3760] Speed: 64.132485 samples/sec accuracy=35.936080 loss=2.849185 lr=0.079117 Epoch[016] Batch [2249]/[3760] Speed: 63.663291 samples/sec accuracy=35.962500 loss=2.848000 lr=0.079173 Epoch[016] Batch [2299]/[3760] Speed: 64.197131 samples/sec accuracy=35.959239 loss=2.848631 lr=0.079228 Epoch[016] Batch [2349]/[3760] Speed: 63.889549 samples/sec accuracy=35.959441 loss=2.847826 lr=0.079283 Epoch[016] Batch [2399]/[3760] Speed: 64.139847 samples/sec accuracy=35.945312 loss=2.847803 lr=0.079339 Epoch[016] 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accuracy=35.876616 loss=2.851376 lr=0.079893 Epoch[016] Batch [2949]/[3760] Speed: 63.859392 samples/sec accuracy=35.859110 loss=2.851391 lr=0.079948 Epoch[016] Batch [2999]/[3760] Speed: 64.572750 samples/sec accuracy=35.835417 loss=2.852278 lr=0.080004 Epoch[016] Batch [3049]/[3760] Speed: 64.049766 samples/sec accuracy=35.852971 loss=2.851777 lr=0.080059 Epoch[016] Batch [3099]/[3760] Speed: 64.008802 samples/sec accuracy=35.861391 loss=2.851667 lr=0.080115 Epoch[016] Batch [3149]/[3760] Speed: 64.234070 samples/sec accuracy=35.880952 loss=2.851171 lr=0.080170 Epoch[016] Batch [3199]/[3760] Speed: 63.965779 samples/sec accuracy=35.905762 loss=2.850082 lr=0.080226 Epoch[016] Batch [3249]/[3760] Speed: 64.423567 samples/sec accuracy=35.895192 loss=2.850842 lr=0.080281 Epoch[016] Batch [3299]/[3760] Speed: 64.069487 samples/sec accuracy=35.876420 loss=2.851238 lr=0.080336 Epoch[016] Batch [3349]/[3760] Speed: 64.162039 samples/sec accuracy=35.866138 loss=2.851753 lr=0.080392 Epoch[016] Batch [3399]/[3760] Speed: 64.554752 samples/sec accuracy=35.879136 loss=2.850819 lr=0.080447 Epoch[016] Batch [3449]/[3760] Speed: 63.645166 samples/sec accuracy=35.881341 loss=2.850091 lr=0.080503 Epoch[016] Batch [3499]/[3760] Speed: 64.500828 samples/sec accuracy=35.898214 loss=2.849722 lr=0.080558 Epoch[016] Batch [3549]/[3760] Speed: 64.005800 samples/sec accuracy=35.889525 loss=2.850631 lr=0.080614 Epoch[016] Batch [3599]/[3760] Speed: 64.044403 samples/sec accuracy=35.878038 loss=2.851188 lr=0.080669 Epoch[016] Batch [3649]/[3760] Speed: 64.297666 samples/sec accuracy=35.890411 loss=2.850247 lr=0.080724 Epoch[016] Batch [3699]/[3760] Speed: 64.233028 samples/sec accuracy=35.877956 loss=2.850299 lr=0.080780 Epoch[016] Batch [3749]/[3760] Speed: 67.398147 samples/sec accuracy=35.883333 loss=2.850603 lr=0.080835 Batch [0049]/[0303]: acc-top1=35.218750 acc-top5=61.656250 Batch [0099]/[0303]: acc-top1=34.687500 acc-top5=61.953125 Batch [0149]/[0303]: acc-top1=34.645833 acc-top5=61.958333 Batch [0199]/[0303]: acc-top1=34.703125 acc-top5=62.000000 Batch [0249]/[0303]: acc-top1=34.768750 acc-top5=62.125000 Batch [0299]/[0303]: acc-top1=34.531250 acc-top5=62.015625 [Epoch 016] training: accuracy=35.878906 loss=2.850794 [Epoch 016] speed: 63 samples/sec time cost: 4068.329654 [Epoch 016] validation: acc-top1=34.586427 acc-top5=62.066832 loss=3.205641 Epoch[017] Batch [0049]/[3759] Speed: 42.272032 samples/sec accuracy=36.968750 loss=2.757586 lr=0.080902 Epoch[017] Batch [0099]/[3759] Speed: 62.952812 samples/sec accuracy=36.234375 loss=2.811541 lr=0.080957 Epoch[017] Batch [0149]/[3759] Speed: 64.316788 samples/sec accuracy=36.291667 loss=2.822013 lr=0.081013 Epoch[017] Batch [0199]/[3759] Speed: 63.610043 samples/sec accuracy=35.929688 loss=2.832192 lr=0.081068 Epoch[017] Batch [0249]/[3759] Speed: 64.553052 samples/sec accuracy=35.931250 loss=2.830906 lr=0.081123 Epoch[017] Batch [0299]/[3759] Speed: 63.801229 samples/sec accuracy=35.953125 loss=2.827553 lr=0.081179 Epoch[017] Batch [0349]/[3759] Speed: 64.467321 samples/sec accuracy=35.977679 loss=2.835018 lr=0.081234 Epoch[017] Batch [0399]/[3759] Speed: 64.540444 samples/sec accuracy=35.808594 loss=2.839076 lr=0.081290 Epoch[017] Batch [0449]/[3759] Speed: 64.248666 samples/sec accuracy=35.881944 loss=2.834264 lr=0.081345 Epoch[017] Batch [0499]/[3759] Speed: 64.219635 samples/sec accuracy=35.815625 loss=2.835563 lr=0.081401 Epoch[017] Batch [0549]/[3759] Speed: 64.629773 samples/sec accuracy=35.838068 loss=2.836204 lr=0.081456 Epoch[017] Batch [0599]/[3759] Speed: 64.013364 samples/sec accuracy=35.830729 loss=2.843696 lr=0.081511 Epoch[017] Batch [0649]/[3759] Speed: 64.163580 samples/sec accuracy=36.007212 loss=2.837185 lr=0.081567 Epoch[017] Batch [0699]/[3759] Speed: 64.317234 samples/sec accuracy=36.064732 loss=2.834862 lr=0.081622 Epoch[017] Batch [0749]/[3759] Speed: 64.208191 samples/sec accuracy=36.037500 loss=2.838046 lr=0.081678 Epoch[017] Batch 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accuracy=36.122500 loss=2.836607 lr=0.082232 Epoch[017] Batch [1299]/[3759] Speed: 64.585945 samples/sec accuracy=36.103365 loss=2.836457 lr=0.082287 Epoch[017] Batch [1349]/[3759] Speed: 64.102745 samples/sec accuracy=36.184028 loss=2.834733 lr=0.082343 Epoch[017] Batch [1399]/[3759] Speed: 64.043179 samples/sec accuracy=36.189732 loss=2.833921 lr=0.082398 Epoch[017] Batch [1449]/[3759] Speed: 64.461486 samples/sec accuracy=36.160560 loss=2.834367 lr=0.082454 Epoch[017] Batch [1499]/[3759] Speed: 64.004769 samples/sec accuracy=36.165625 loss=2.833525 lr=0.082509 Epoch[017] Batch [1549]/[3759] Speed: 64.474859 samples/sec accuracy=36.168347 loss=2.833195 lr=0.082564 Epoch[017] Batch [1599]/[3759] Speed: 63.698080 samples/sec accuracy=36.194336 loss=2.832995 lr=0.082620 Epoch[017] Batch [1649]/[3759] Speed: 64.487788 samples/sec accuracy=36.142045 loss=2.833211 lr=0.082675 Epoch[017] Batch [1699]/[3759] Speed: 64.091907 samples/sec accuracy=36.107537 loss=2.834701 lr=0.082731 Epoch[017] Batch [1749]/[3759] Speed: 64.530058 samples/sec accuracy=36.095536 loss=2.833619 lr=0.082786 Epoch[017] Batch [1799]/[3759] Speed: 64.454840 samples/sec accuracy=36.102431 loss=2.834092 lr=0.082842 Epoch[017] Batch [1849]/[3759] Speed: 63.941718 samples/sec accuracy=36.123311 loss=2.833782 lr=0.082897 Epoch[017] Batch [1899]/[3759] Speed: 64.475828 samples/sec accuracy=36.115954 loss=2.833698 lr=0.082952 Epoch[017] Batch [1949]/[3759] Speed: 64.339669 samples/sec accuracy=36.087340 loss=2.835383 lr=0.083008 Epoch[017] Batch [1999]/[3759] Speed: 64.444580 samples/sec accuracy=36.118750 loss=2.834645 lr=0.083063 Epoch[017] Batch [2049]/[3759] Speed: 63.858585 samples/sec accuracy=36.134909 loss=2.834602 lr=0.083119 Epoch[017] Batch [2099]/[3759] Speed: 64.051246 samples/sec accuracy=36.123512 loss=2.835144 lr=0.083174 Epoch[017] Batch [2149]/[3759] Speed: 64.585156 samples/sec accuracy=36.106105 loss=2.835826 lr=0.083230 Epoch[017] Batch [2199]/[3759] Speed: 64.442848 samples/sec accuracy=36.105114 loss=2.835882 lr=0.083285 Epoch[017] Batch [2249]/[3759] Speed: 64.054942 samples/sec accuracy=36.159028 loss=2.834506 lr=0.083340 Epoch[017] Batch [2299]/[3759] Speed: 64.171738 samples/sec accuracy=36.104620 loss=2.836320 lr=0.083396 Epoch[017] Batch [2349]/[3759] Speed: 64.343942 samples/sec accuracy=36.096410 loss=2.836517 lr=0.083451 Epoch[017] Batch [2399]/[3759] Speed: 64.140696 samples/sec accuracy=36.111328 loss=2.835227 lr=0.083507 Epoch[017] Batch [2449]/[3759] Speed: 64.809520 samples/sec accuracy=36.141582 loss=2.834358 lr=0.083562 Epoch[017] Batch [2499]/[3759] Speed: 63.991629 samples/sec accuracy=36.118125 loss=2.835420 lr=0.083617 Epoch[017] Batch [2549]/[3759] Speed: 64.448595 samples/sec accuracy=36.111520 loss=2.835308 lr=0.083673 Epoch[017] Batch [2599]/[3759] Speed: 64.527132 samples/sec accuracy=36.103365 loss=2.836394 lr=0.083728 Epoch[017] Batch [2649]/[3759] Speed: 64.304994 samples/sec accuracy=36.102005 loss=2.837044 lr=0.083784 Epoch[017] Batch [2699]/[3759] Speed: 63.980732 samples/sec accuracy=36.102431 loss=2.836882 lr=0.083839 Epoch[017] Batch [2749]/[3759] Speed: 64.470408 samples/sec accuracy=36.097159 loss=2.836687 lr=0.083895 Epoch[017] Batch [2799]/[3759] Speed: 64.156795 samples/sec accuracy=36.057478 loss=2.837433 lr=0.083950 Epoch[017] Batch [2849]/[3759] Speed: 64.445279 samples/sec accuracy=36.025768 loss=2.838367 lr=0.084005 Epoch[017] Batch [2899]/[3759] Speed: 64.215612 samples/sec accuracy=36.047414 loss=2.837525 lr=0.084061 Epoch[017] Batch [2949]/[3759] Speed: 64.390167 samples/sec accuracy=36.020127 loss=2.838410 lr=0.084116 Epoch[017] Batch [2999]/[3759] Speed: 63.498896 samples/sec accuracy=36.015104 loss=2.839345 lr=0.084172 Epoch[017] Batch [3049]/[3759] Speed: 64.571557 samples/sec accuracy=36.018443 loss=2.839121 lr=0.084227 Epoch[017] Batch [3099]/[3759] Speed: 64.125003 samples/sec accuracy=36.042843 loss=2.838710 lr=0.084283 Epoch[017] Batch [3149]/[3759] Speed: 64.154066 samples/sec accuracy=36.035218 loss=2.838522 lr=0.084338 Epoch[017] Batch [3199]/[3759] Speed: 64.002093 samples/sec accuracy=36.035645 loss=2.838088 lr=0.084393 Epoch[017] Batch [3249]/[3759] Speed: 64.303084 samples/sec accuracy=36.041346 loss=2.838174 lr=0.084449 Epoch[017] Batch [3299]/[3759] Speed: 64.618521 samples/sec accuracy=36.073864 loss=2.837368 lr=0.084504 Epoch[017] Batch [3349]/[3759] Speed: 64.150714 samples/sec accuracy=36.056437 loss=2.837454 lr=0.084560 Epoch[017] Batch [3399]/[3759] Speed: 64.394470 samples/sec accuracy=36.055607 loss=2.837407 lr=0.084615 Epoch[017] Batch [3449]/[3759] Speed: 64.089108 samples/sec accuracy=36.066576 loss=2.837787 lr=0.084671 Epoch[017] Batch [3499]/[3759] Speed: 64.277224 samples/sec accuracy=36.046429 loss=2.838745 lr=0.084726 Epoch[017] Batch [3549]/[3759] Speed: 64.162016 samples/sec accuracy=36.050176 loss=2.839252 lr=0.084781 Epoch[017] Batch [3599]/[3759] Speed: 64.206407 samples/sec accuracy=36.058160 loss=2.839435 lr=0.084837 Epoch[017] Batch [3649]/[3759] Speed: 64.569373 samples/sec accuracy=36.059503 loss=2.839360 lr=0.084892 Epoch[017] Batch [3699]/[3759] Speed: 64.308752 samples/sec accuracy=36.051943 loss=2.839488 lr=0.084948 Epoch[017] Batch [3749]/[3759] Speed: 68.031025 samples/sec accuracy=36.052083 loss=2.840403 lr=0.085003 Batch [0049]/[0303]: acc-top1=36.125000 acc-top5=63.500000 Batch [0099]/[0303]: acc-top1=35.781250 acc-top5=63.687500 Batch [0149]/[0303]: acc-top1=35.875000 acc-top5=63.812500 Batch [0199]/[0303]: acc-top1=35.757812 acc-top5=63.632812 Batch [0249]/[0303]: acc-top1=35.675000 acc-top5=63.906250 Batch [0299]/[0303]: acc-top1=35.817708 acc-top5=63.947917 [Epoch 017] training: accuracy=36.056797 loss=2.840271 [Epoch 017] speed: 63 samples/sec time cost: 4061.179449 [Epoch 017] validation: acc-top1=35.787954 acc-top5=63.964521 loss=3.044524 Epoch[018] Batch [0049]/[3760] Speed: 41.973068 samples/sec accuracy=37.031250 loss=2.783848 lr=0.085068 Epoch[018] Batch [0099]/[3760] Speed: 62.528056 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lr=0.087729 Epoch[018] Batch [2499]/[3760] Speed: 64.035040 samples/sec accuracy=36.388125 loss=2.821410 lr=0.087784 Epoch[018] Batch [2549]/[3760] Speed: 64.039375 samples/sec accuracy=36.420343 loss=2.820129 lr=0.087840 Epoch[018] Batch [2599]/[3760] Speed: 64.375407 samples/sec accuracy=36.402043 loss=2.820694 lr=0.087895 Epoch[018] Batch [2649]/[3760] Speed: 64.198459 samples/sec accuracy=36.369693 loss=2.821937 lr=0.087950 Epoch[018] Batch [2699]/[3760] Speed: 64.495032 samples/sec accuracy=36.361111 loss=2.822973 lr=0.088006 Epoch[018] Batch [2749]/[3760] Speed: 64.483350 samples/sec accuracy=36.359091 loss=2.822993 lr=0.088061 Epoch[018] Batch [2799]/[3760] Speed: 64.466785 samples/sec accuracy=36.372768 loss=2.822659 lr=0.088117 Epoch[018] Batch [2849]/[3760] Speed: 64.547809 samples/sec accuracy=36.356908 loss=2.823600 lr=0.088172 Epoch[018] Batch [2899]/[3760] Speed: 64.336950 samples/sec accuracy=36.349677 loss=2.823736 lr=0.088228 Epoch[018] Batch [2949]/[3760] Speed: 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lr=0.088782 Epoch[018] Batch [3449]/[3760] Speed: 63.979989 samples/sec accuracy=36.323370 loss=2.824852 lr=0.088837 Epoch[018] Batch [3499]/[3760] Speed: 64.355559 samples/sec accuracy=36.310714 loss=2.825510 lr=0.088893 Epoch[018] Batch [3549]/[3760] Speed: 64.576370 samples/sec accuracy=36.287852 loss=2.826920 lr=0.088948 Epoch[018] Batch [3599]/[3760] Speed: 63.937216 samples/sec accuracy=36.275174 loss=2.827675 lr=0.089003 Epoch[018] Batch [3649]/[3760] Speed: 64.588006 samples/sec accuracy=36.276969 loss=2.828046 lr=0.089059 Epoch[018] Batch [3699]/[3760] Speed: 64.842217 samples/sec accuracy=36.264358 loss=2.828439 lr=0.089114 Epoch[018] Batch [3749]/[3760] Speed: 67.578668 samples/sec accuracy=36.270000 loss=2.828237 lr=0.089170 Batch [0049]/[0303]: acc-top1=37.000000 acc-top5=63.125000 Batch [0099]/[0303]: acc-top1=36.390625 acc-top5=63.359375 Batch [0149]/[0303]: acc-top1=36.270833 acc-top5=63.104167 Batch [0199]/[0303]: acc-top1=36.242188 acc-top5=62.882812 Batch [0249]/[0303]: acc-top1=36.118750 acc-top5=63.225000 Batch [0299]/[0303]: acc-top1=36.156250 acc-top5=63.281250 [Epoch 018] training: accuracy=36.267453 loss=2.828429 [Epoch 018] speed: 63 samples/sec time cost: 4064.088723 [Epoch 018] validation: acc-top1=36.174711 acc-top5=63.283828 loss=3.150168 Epoch[019] Batch [0049]/[3760] Speed: 43.186805 samples/sec accuracy=37.781250 loss=2.757303 lr=0.089236 Epoch[019] Batch [0099]/[3760] Speed: 62.384001 samples/sec accuracy=37.609375 loss=2.771266 lr=0.089292 Epoch[019] Batch [0149]/[3760] Speed: 63.642452 samples/sec accuracy=37.104167 loss=2.782209 lr=0.089347 Epoch[019] Batch [0199]/[3760] Speed: 63.111008 samples/sec accuracy=37.093750 loss=2.772859 lr=0.089403 Epoch[019] Batch [0249]/[3760] Speed: 64.544304 samples/sec accuracy=36.725000 loss=2.792385 lr=0.089458 Epoch[019] Batch [0299]/[3760] Speed: 63.482695 samples/sec accuracy=36.817708 loss=2.787602 lr=0.089513 Epoch[019] Batch [0349]/[3760] Speed: 64.088826 samples/sec accuracy=36.647321 loss=2.799295 lr=0.089569 Epoch[019] Batch [0399]/[3760] Speed: 64.344148 samples/sec accuracy=36.785156 loss=2.799382 lr=0.089624 Epoch[019] Batch [0449]/[3760] Speed: 63.861859 samples/sec accuracy=36.701389 loss=2.802166 lr=0.089680 Epoch[019] Batch [0499]/[3760] Speed: 64.574887 samples/sec accuracy=36.662500 loss=2.805891 lr=0.089735 Epoch[019] Batch [0549]/[3760] Speed: 63.761639 samples/sec accuracy=36.750000 loss=2.804707 lr=0.089791 Epoch[019] Batch [0599]/[3760] Speed: 64.067131 samples/sec accuracy=36.747396 loss=2.802763 lr=0.089846 Epoch[019] Batch [0649]/[3760] Speed: 64.402285 samples/sec accuracy=36.747596 loss=2.799197 lr=0.089901 Epoch[019] Batch [0699]/[3760] Speed: 63.944045 samples/sec accuracy=36.727679 loss=2.801722 lr=0.089957 Epoch[019] Batch [0749]/[3760] Speed: 64.017849 samples/sec accuracy=36.685417 loss=2.803180 lr=0.090012 Epoch[019] Batch [0799]/[3760] Speed: 64.271136 samples/sec accuracy=36.634766 loss=2.805607 lr=0.090068 Epoch[019] 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accuracy=36.612981 loss=2.809908 lr=0.090622 Epoch[019] Batch [1349]/[3760] Speed: 64.080951 samples/sec accuracy=36.578704 loss=2.811272 lr=0.090677 Epoch[019] Batch [1399]/[3760] Speed: 64.383454 samples/sec accuracy=36.583705 loss=2.812952 lr=0.090733 Epoch[019] Batch [1449]/[3760] Speed: 64.488868 samples/sec accuracy=36.621767 loss=2.812742 lr=0.090788 Epoch[019] Batch [1499]/[3760] Speed: 63.764552 samples/sec accuracy=36.634375 loss=2.814026 lr=0.090844 Epoch[019] Batch [1549]/[3760] Speed: 64.342089 samples/sec accuracy=36.655242 loss=2.813510 lr=0.090899 Epoch[019] Batch [1599]/[3760] Speed: 63.818958 samples/sec accuracy=36.669922 loss=2.813641 lr=0.090954 Epoch[019] Batch [1649]/[3760] Speed: 64.360929 samples/sec accuracy=36.673295 loss=2.811871 lr=0.091010 Epoch[019] Batch [1699]/[3760] Speed: 64.728213 samples/sec accuracy=36.647978 loss=2.811324 lr=0.091065 Epoch[019] Batch [1749]/[3760] Speed: 64.416075 samples/sec accuracy=36.650893 loss=2.813137 lr=0.091121 Epoch[019] 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accuracy=36.570833 loss=2.819366 lr=0.091675 Epoch[019] Batch [2299]/[3760] Speed: 64.425266 samples/sec accuracy=36.572690 loss=2.819376 lr=0.091730 Epoch[019] Batch [2349]/[3760] Speed: 64.018609 samples/sec accuracy=36.561170 loss=2.820699 lr=0.091786 Epoch[019] Batch [2399]/[3760] Speed: 64.753077 samples/sec accuracy=36.552734 loss=2.820418 lr=0.091841 Epoch[019] Batch [2449]/[3760] Speed: 64.175391 samples/sec accuracy=36.508929 loss=2.822262 lr=0.091897 Epoch[019] Batch [2499]/[3760] Speed: 64.260414 samples/sec accuracy=36.508750 loss=2.822507 lr=0.091952 Epoch[019] Batch [2549]/[3760] Speed: 64.270689 samples/sec accuracy=36.495711 loss=2.823149 lr=0.092007 Epoch[019] Batch [2599]/[3760] Speed: 64.280934 samples/sec accuracy=36.509615 loss=2.822144 lr=0.092063 Epoch[019] Batch [2649]/[3760] Speed: 63.586961 samples/sec accuracy=36.495283 loss=2.822249 lr=0.092118 Epoch[019] Batch [2699]/[3760] Speed: 64.574304 samples/sec accuracy=36.520255 loss=2.821318 lr=0.092174 Epoch[019] 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accuracy=36.458984 loss=2.823093 lr=0.092728 Epoch[019] Batch [3249]/[3760] Speed: 64.413903 samples/sec accuracy=36.460096 loss=2.822555 lr=0.092783 Epoch[019] Batch [3299]/[3760] Speed: 64.096524 samples/sec accuracy=36.465909 loss=2.822702 lr=0.092839 Epoch[019] Batch [3349]/[3760] Speed: 64.285213 samples/sec accuracy=36.464086 loss=2.822672 lr=0.092894 Epoch[019] Batch [3399]/[3760] Speed: 63.962905 samples/sec accuracy=36.453585 loss=2.823505 lr=0.092950 Epoch[019] Batch [3449]/[3760] Speed: 64.492344 samples/sec accuracy=36.463768 loss=2.822486 lr=0.093005 Epoch[019] Batch [3499]/[3760] Speed: 63.944774 samples/sec accuracy=36.454911 loss=2.823052 lr=0.093060 Epoch[019] Batch [3549]/[3760] Speed: 64.329869 samples/sec accuracy=36.458627 loss=2.821830 lr=0.093116 Epoch[019] Batch [3599]/[3760] Speed: 64.525390 samples/sec accuracy=36.464410 loss=2.821847 lr=0.093171 Epoch[019] Batch [3649]/[3760] Speed: 64.160758 samples/sec accuracy=36.452055 loss=2.822902 lr=0.093227 Epoch[019] Batch [3699]/[3760] Speed: 64.242540 samples/sec accuracy=36.461149 loss=2.822270 lr=0.093282 Epoch[019] Batch [3749]/[3760] Speed: 67.841639 samples/sec accuracy=36.458333 loss=2.822325 lr=0.093338 Batch [0049]/[0303]: acc-top1=36.906250 acc-top5=62.625000 Batch [0099]/[0303]: acc-top1=36.500000 acc-top5=63.046875 Batch [0149]/[0303]: acc-top1=36.552083 acc-top5=63.145833 Batch [0199]/[0303]: acc-top1=36.476562 acc-top5=63.132812 Batch [0249]/[0303]: acc-top1=36.318750 acc-top5=63.312500 Batch [0299]/[0303]: acc-top1=36.395833 acc-top5=63.473958 [Epoch 019] training: accuracy=36.455701 loss=2.822260 [Epoch 019] speed: 63 samples/sec time cost: 4063.438874 [Epoch 019] validation: acc-top1=36.427393 acc-top5=63.515883 loss=3.064161 Epoch[020] Batch [0049]/[3759] Speed: 42.885623 samples/sec accuracy=37.031250 loss=2.766860 lr=0.093404 Epoch[020] Batch [0099]/[3759] Speed: 62.481200 samples/sec accuracy=37.093750 loss=2.785375 lr=0.093460 Epoch[020] Batch [0149]/[3759] Speed: 64.176714 samples/sec accuracy=36.791667 loss=2.788399 lr=0.093515 Epoch[020] Batch [0199]/[3759] Speed: 64.050428 samples/sec accuracy=36.750000 loss=2.786504 lr=0.093570 Epoch[020] Batch [0249]/[3759] Speed: 64.949133 samples/sec accuracy=36.887500 loss=2.787266 lr=0.093626 Epoch[020] Batch [0299]/[3759] Speed: 63.841708 samples/sec accuracy=37.031250 loss=2.783135 lr=0.093681 Epoch[020] Batch [0349]/[3759] Speed: 64.091507 samples/sec accuracy=37.232143 loss=2.782249 lr=0.093737 Epoch[020] Batch [0399]/[3759] Speed: 64.604962 samples/sec accuracy=37.261719 loss=2.780088 lr=0.093792 Epoch[020] Batch [0449]/[3759] Speed: 64.153414 samples/sec accuracy=37.347222 loss=2.781593 lr=0.093847 Epoch[020] Batch [0499]/[3759] Speed: 64.948001 samples/sec accuracy=37.290625 loss=2.784232 lr=0.093903 Epoch[020] Batch [0549]/[3759] Speed: 64.560452 samples/sec accuracy=37.417614 loss=2.779802 lr=0.093958 Epoch[020] Batch [0599]/[3759] Speed: 64.307842 samples/sec accuracy=37.270833 loss=2.785237 lr=0.094014 Epoch[020] Batch [0649]/[3759] Speed: 64.554003 samples/sec accuracy=37.149038 loss=2.787034 lr=0.094069 Epoch[020] Batch [0699]/[3759] Speed: 64.122710 samples/sec accuracy=37.194196 loss=2.788059 lr=0.094125 Epoch[020] Batch [0749]/[3759] Speed: 64.445929 samples/sec accuracy=37.237500 loss=2.785878 lr=0.094180 Epoch[020] Batch [0799]/[3759] Speed: 64.328710 samples/sec accuracy=37.224609 loss=2.787098 lr=0.094235 Epoch[020] Batch [0849]/[3759] Speed: 64.362802 samples/sec accuracy=37.202206 loss=2.787991 lr=0.094291 Epoch[020] Batch [0899]/[3759] Speed: 64.479606 samples/sec accuracy=37.053819 loss=2.792930 lr=0.094346 Epoch[020] Batch [0949]/[3759] Speed: 64.346392 samples/sec accuracy=36.978618 loss=2.795036 lr=0.094402 Epoch[020] Batch [0999]/[3759] Speed: 64.491044 samples/sec accuracy=36.962500 loss=2.794540 lr=0.094457 Epoch[020] Batch [1049]/[3759] Speed: 64.112792 samples/sec accuracy=36.989583 loss=2.793255 lr=0.094513 Epoch[020] Batch [1099]/[3759] Speed: 64.433471 samples/sec accuracy=36.938920 loss=2.796696 lr=0.094568 Epoch[020] Batch [1149]/[3759] Speed: 64.409359 samples/sec accuracy=36.989130 loss=2.795866 lr=0.094623 Epoch[020] Batch [1199]/[3759] Speed: 64.925688 samples/sec accuracy=36.893229 loss=2.800039 lr=0.094679 Epoch[020] Batch [1249]/[3759] Speed: 64.332791 samples/sec accuracy=36.868750 loss=2.800672 lr=0.094734 Epoch[020] Batch [1299]/[3759] Speed: 64.424497 samples/sec accuracy=36.884615 loss=2.798514 lr=0.094790 Epoch[020] Batch [1349]/[3759] Speed: 64.523438 samples/sec accuracy=36.872685 loss=2.799285 lr=0.094845 Epoch[020] Batch [1399]/[3759] Speed: 63.857294 samples/sec accuracy=36.866071 loss=2.800977 lr=0.094901 Epoch[020] Batch [1449]/[3759] Speed: 64.204389 samples/sec accuracy=36.801724 loss=2.800995 lr=0.094956 Epoch[020] Batch [1499]/[3759] Speed: 64.392058 samples/sec accuracy=36.803125 loss=2.801346 lr=0.095011 Epoch[020] Batch [1549]/[3759] Speed: 64.325821 samples/sec accuracy=36.797379 loss=2.800769 lr=0.095067 Epoch[020] Batch [1599]/[3759] Speed: 64.299393 samples/sec accuracy=36.839844 loss=2.799268 lr=0.095122 Epoch[020] Batch [1649]/[3759] Speed: 64.316433 samples/sec accuracy=36.826705 loss=2.799739 lr=0.095178 Epoch[020] Batch [1699]/[3759] Speed: 64.076402 samples/sec accuracy=36.817096 loss=2.801600 lr=0.095233 Epoch[020] Batch [1749]/[3759] Speed: 64.309652 samples/sec accuracy=36.791964 loss=2.802920 lr=0.095288 Epoch[020] Batch [1799]/[3759] Speed: 64.457909 samples/sec accuracy=36.782986 loss=2.802928 lr=0.095344 Epoch[020] Batch [1849]/[3759] Speed: 64.146626 samples/sec accuracy=36.777027 loss=2.803329 lr=0.095399 Epoch[020] Batch [1899]/[3759] Speed: 64.579046 samples/sec accuracy=36.773849 loss=2.803767 lr=0.095455 Epoch[020] Batch [1949]/[3759] Speed: 64.457033 samples/sec accuracy=36.733974 loss=2.805434 lr=0.095510 Epoch[020] Batch [1999]/[3759] Speed: 63.953532 samples/sec accuracy=36.725781 loss=2.806425 lr=0.095566 Epoch[020] Batch [2049]/[3759] Speed: 64.321857 samples/sec accuracy=36.715701 loss=2.805838 lr=0.095621 Epoch[020] Batch [2099]/[3759] Speed: 64.404775 samples/sec accuracy=36.707589 loss=2.805940 lr=0.095676 Epoch[020] Batch [2149]/[3759] Speed: 64.502817 samples/sec accuracy=36.665698 loss=2.807754 lr=0.095732 Epoch[020] Batch [2199]/[3759] Speed: 64.102638 samples/sec accuracy=36.665483 loss=2.808126 lr=0.095787 Epoch[020] Batch [2249]/[3759] Speed: 64.077428 samples/sec accuracy=36.659028 loss=2.808415 lr=0.095843 Epoch[020] Batch [2299]/[3759] Speed: 64.436420 samples/sec accuracy=36.662364 loss=2.808526 lr=0.095898 Epoch[020] Batch [2349]/[3759] Speed: 64.249403 samples/sec accuracy=36.679521 loss=2.808094 lr=0.095954 Epoch[020] Batch [2399]/[3759] Speed: 64.016840 samples/sec accuracy=36.658203 loss=2.808604 lr=0.096009 Epoch[020] Batch [2449]/[3759] Speed: 64.625927 samples/sec accuracy=36.653699 loss=2.808406 lr=0.096064 Epoch[020] Batch [2499]/[3759] Speed: 64.200172 samples/sec accuracy=36.680625 loss=2.807454 lr=0.096120 Epoch[020] Batch [2549]/[3759] Speed: 63.947879 samples/sec accuracy=36.691176 loss=2.807093 lr=0.096175 Epoch[020] Batch [2599]/[3759] Speed: 64.342331 samples/sec accuracy=36.688101 loss=2.807387 lr=0.096231 Epoch[020] Batch [2649]/[3759] Speed: 64.232535 samples/sec accuracy=36.700472 loss=2.807164 lr=0.096286 Epoch[020] Batch [2699]/[3759] Speed: 64.501497 samples/sec accuracy=36.714120 loss=2.807785 lr=0.096342 Epoch[020] Batch [2749]/[3759] Speed: 63.715519 samples/sec accuracy=36.706818 loss=2.807598 lr=0.096397 Epoch[020] Batch [2799]/[3759] Speed: 64.562969 samples/sec accuracy=36.696987 loss=2.807740 lr=0.096452 Epoch[020] Batch [2849]/[3759] Speed: 64.140491 samples/sec accuracy=36.692434 loss=2.808110 lr=0.096508 Epoch[020] Batch [2899]/[3759] Speed: 64.621012 samples/sec accuracy=36.697737 loss=2.808682 lr=0.096563 Epoch[020] Batch [2949]/[3759] Speed: 64.644021 samples/sec accuracy=36.699153 loss=2.809198 lr=0.096619 Epoch[020] Batch [2999]/[3759] Speed: 64.824663 samples/sec accuracy=36.691667 loss=2.809263 lr=0.096674 Epoch[020] Batch [3049]/[3759] Speed: 64.427855 samples/sec accuracy=36.699283 loss=2.809467 lr=0.096729 Epoch[020] Batch [3099]/[3759] Speed: 64.141620 samples/sec accuracy=36.709677 loss=2.808929 lr=0.096785 Epoch[020] Batch [3149]/[3759] Speed: 64.380856 samples/sec accuracy=36.695437 loss=2.809478 lr=0.096840 Epoch[020] Batch [3199]/[3759] Speed: 64.332941 samples/sec accuracy=36.665039 loss=2.811135 lr=0.096896 Epoch[020] Batch [3249]/[3759] Speed: 64.406871 samples/sec accuracy=36.664423 loss=2.811588 lr=0.096951 Epoch[020] Batch [3299]/[3759] Speed: 64.024405 samples/sec accuracy=36.667614 loss=2.812014 lr=0.097007 Epoch[020] Batch [3349]/[3759] Speed: 64.707914 samples/sec accuracy=36.673507 loss=2.811340 lr=0.097062 Epoch[020] Batch [3399]/[3759] Speed: 64.344227 samples/sec accuracy=36.692555 loss=2.811056 lr=0.097117 Epoch[020] Batch [3449]/[3759] Speed: 64.586754 samples/sec accuracy=36.687047 loss=2.812107 lr=0.097173 Epoch[020] Batch [3499]/[3759] Speed: 64.040675 samples/sec accuracy=36.682589 loss=2.812326 lr=0.097228 Epoch[020] Batch [3549]/[3759] Speed: 64.825604 samples/sec accuracy=36.664173 loss=2.812542 lr=0.097284 Epoch[020] Batch [3599]/[3759] Speed: 64.169063 samples/sec accuracy=36.661024 loss=2.812759 lr=0.097339 Epoch[020] Batch [3649]/[3759] Speed: 64.983669 samples/sec accuracy=36.639983 loss=2.813986 lr=0.097395 Epoch[020] Batch [3699]/[3759] Speed: 64.045510 samples/sec accuracy=36.614443 loss=2.815097 lr=0.097450 Epoch[020] Batch [3749]/[3759] Speed: 67.909993 samples/sec accuracy=36.625417 loss=2.814397 lr=0.097505 Batch [0049]/[0303]: acc-top1=34.531250 acc-top5=62.968750 Batch [0099]/[0303]: acc-top1=35.078125 acc-top5=62.875000 Batch [0149]/[0303]: acc-top1=35.427083 acc-top5=63.052083 Batch [0199]/[0303]: acc-top1=35.265625 acc-top5=62.921875 Batch [0249]/[0303]: acc-top1=35.231250 acc-top5=63.018750 Batch [0299]/[0303]: acc-top1=35.531250 acc-top5=62.984375 [Epoch 020] training: accuracy=36.634993 loss=2.814276 [Epoch 020] speed: 63 samples/sec time cost: 4052.581696 [Epoch 020] validation: acc-top1=35.586840 acc-top5=62.995050 loss=3.106287 Epoch[021] Batch [0049]/[3760] Speed: 42.835059 samples/sec accuracy=38.593750 loss=2.769611 lr=0.097571 Epoch[021] Batch [0099]/[3760] Speed: 62.855093 samples/sec accuracy=37.578125 loss=2.790057 lr=0.097626 Epoch[021] Batch [0149]/[3760] Speed: 64.576474 samples/sec accuracy=37.520833 loss=2.788865 lr=0.097682 Epoch[021] Batch [0199]/[3760] Speed: 64.315305 samples/sec accuracy=37.515625 loss=2.790469 lr=0.097737 Epoch[021] Batch [0249]/[3760] Speed: 64.867927 samples/sec accuracy=37.506250 loss=2.779501 lr=0.097792 Epoch[021] Batch [0299]/[3760] Speed: 64.215202 samples/sec accuracy=37.453125 loss=2.780870 lr=0.097848 Epoch[021] Batch [0349]/[3760] Speed: 64.618959 samples/sec accuracy=37.084821 loss=2.787327 lr=0.097903 Epoch[021] Batch [0399]/[3760] Speed: 64.677546 samples/sec accuracy=37.101562 loss=2.783798 lr=0.097959 Epoch[021] Batch [0449]/[3760] Speed: 64.082256 samples/sec accuracy=37.194444 loss=2.781996 lr=0.098014 Epoch[021] Batch [0499]/[3760] Speed: 64.821957 samples/sec accuracy=37.071875 loss=2.787456 lr=0.098070 Epoch[021] Batch [0549]/[3760] Speed: 64.168207 samples/sec accuracy=37.056818 loss=2.786837 lr=0.098125 Epoch[021] Batch [0599]/[3760] Speed: 64.601706 samples/sec accuracy=37.039062 loss=2.784604 lr=0.098180 Epoch[021] Batch [0649]/[3760] Speed: 64.380892 samples/sec accuracy=37.055288 loss=2.784550 lr=0.098236 Epoch[021] Batch [0699]/[3760] Speed: 64.763596 samples/sec accuracy=36.991071 loss=2.785121 lr=0.098291 Epoch[021] Batch [0749]/[3760] Speed: 64.143419 samples/sec accuracy=36.839583 loss=2.788384 lr=0.098347 Epoch[021] Batch [0799]/[3760] Speed: 64.853449 samples/sec accuracy=36.796875 loss=2.787783 lr=0.098402 Epoch[021] Batch [0849]/[3760] Speed: 64.708492 samples/sec accuracy=36.806985 loss=2.786154 lr=0.098458 Epoch[021] Batch [0899]/[3760] Speed: 63.642656 samples/sec accuracy=36.814236 loss=2.788169 lr=0.098513 Epoch[021] Batch [0949]/[3760] Speed: 64.842213 samples/sec accuracy=36.886513 loss=2.786920 lr=0.098568 Epoch[021] Batch [0999]/[3760] Speed: 64.280459 samples/sec accuracy=36.859375 loss=2.789969 lr=0.098624 Epoch[021] Batch [1049]/[3760] Speed: 64.533195 samples/sec accuracy=36.846726 loss=2.791634 lr=0.098679 Epoch[021] Batch [1099]/[3760] Speed: 64.330085 samples/sec accuracy=36.825284 loss=2.794514 lr=0.098735 Epoch[021] Batch [1149]/[3760] Speed: 64.179318 samples/sec accuracy=36.820652 loss=2.793969 lr=0.098790 Epoch[021] Batch [1199]/[3760] Speed: 64.471826 samples/sec accuracy=36.864583 loss=2.794944 lr=0.098846 Epoch[021] Batch [1249]/[3760] Speed: 64.219973 samples/sec accuracy=36.822500 loss=2.794919 lr=0.098901 Epoch[021] Batch [1299]/[3760] Speed: 64.437925 samples/sec accuracy=36.814904 loss=2.794735 lr=0.098956 Epoch[021] Batch [1349]/[3760] Speed: 64.287114 samples/sec accuracy=36.908565 loss=2.792473 lr=0.099012 Epoch[021] Batch [1399]/[3760] Speed: 64.212025 samples/sec accuracy=36.909598 loss=2.792134 lr=0.099067 Epoch[021] Batch [1449]/[3760] Speed: 64.919979 samples/sec accuracy=36.948276 loss=2.790541 lr=0.099123 Epoch[021] Batch [1499]/[3760] Speed: 64.332318 samples/sec accuracy=36.901042 loss=2.793137 lr=0.099178 Epoch[021] Batch [1549]/[3760] Speed: 63.968386 samples/sec accuracy=36.889113 loss=2.795956 lr=0.099233 Epoch[021] Batch [1599]/[3760] Speed: 64.426409 samples/sec accuracy=36.922852 loss=2.796159 lr=0.099289 Epoch[021] Batch [1649]/[3760] Speed: 64.506487 samples/sec accuracy=36.888258 loss=2.796231 lr=0.099344 Epoch[021] Batch [1699]/[3760] Speed: 64.792324 samples/sec accuracy=36.882353 loss=2.795655 lr=0.099400 Epoch[021] Batch [1749]/[3760] Speed: 64.341701 samples/sec accuracy=36.880357 loss=2.796817 lr=0.099455 Epoch[021] Batch [1799]/[3760] Speed: 64.559251 samples/sec accuracy=36.824653 loss=2.798336 lr=0.099511 Epoch[021] Batch [1849]/[3760] Speed: 64.307846 samples/sec accuracy=36.757601 loss=2.800949 lr=0.099566 Epoch[021] Batch [1899]/[3760] Speed: 64.427590 samples/sec accuracy=36.778783 loss=2.802062 lr=0.099621 Epoch[021] Batch [1949]/[3760] Speed: 64.815771 samples/sec accuracy=36.762821 loss=2.802431 lr=0.099677 Epoch[021] Batch [1999]/[3760] Speed: 64.533927 samples/sec accuracy=36.738281 loss=2.803298 lr=0.099732 Epoch[021] Batch [2049]/[3760] Speed: 64.235757 samples/sec accuracy=36.720274 loss=2.803030 lr=0.099788 Epoch[021] Batch [2099]/[3760] Speed: 64.207442 samples/sec accuracy=36.733631 loss=2.802981 lr=0.099843 Epoch[021] Batch [2149]/[3760] Speed: 63.819847 samples/sec accuracy=36.704942 loss=2.804558 lr=0.099899 Epoch[021] Batch [2199]/[3760] Speed: 64.560942 samples/sec accuracy=36.704545 loss=2.804430 lr=0.099954 Epoch[021] Batch [2249]/[3760] Speed: 64.267788 samples/sec accuracy=36.727778 loss=2.804390 lr=0.100009 Epoch[021] Batch [2299]/[3760] Speed: 64.168606 samples/sec accuracy=36.704484 loss=2.805882 lr=0.100065 Epoch[021] Batch [2349]/[3760] Speed: 64.268074 samples/sec accuracy=36.662234 loss=2.807206 lr=0.100120 Epoch[021] Batch [2399]/[3760] Speed: 64.241223 samples/sec accuracy=36.623698 loss=2.808622 lr=0.100176 Epoch[021] Batch [2449]/[3760] Speed: 64.721439 samples/sec accuracy=36.639031 loss=2.808852 lr=0.100231 Epoch[021] Batch [2499]/[3760] Speed: 64.346377 samples/sec accuracy=36.648750 loss=2.809083 lr=0.100287 Epoch[021] Batch [2549]/[3760] Speed: 64.773941 samples/sec accuracy=36.617647 loss=2.810492 lr=0.100342 Epoch[021] Batch [2599]/[3760] Speed: 64.382609 samples/sec accuracy=36.612981 loss=2.811060 lr=0.100397 Epoch[021] Batch [2649]/[3760] Speed: 64.570772 samples/sec accuracy=36.576651 loss=2.813508 lr=0.100453 Epoch[021] Batch [2699]/[3760] Speed: 64.342461 samples/sec accuracy=36.632523 loss=2.811456 lr=0.100508 Epoch[021] Batch [2749]/[3760] Speed: 64.370368 samples/sec accuracy=36.623864 loss=2.811026 lr=0.100564 Epoch[021] Batch [2799]/[3760] Speed: 64.254011 samples/sec accuracy=36.607701 loss=2.811244 lr=0.100619 Epoch[021] Batch [2849]/[3760] Speed: 63.998420 samples/sec accuracy=36.617325 loss=2.811279 lr=0.100674 Epoch[021] Batch [2899]/[3760] Speed: 64.292828 samples/sec accuracy=36.602371 loss=2.811483 lr=0.100730 Epoch[021] Batch [2949]/[3760] Speed: 64.265616 samples/sec accuracy=36.591631 loss=2.812531 lr=0.100785 Epoch[021] Batch [2999]/[3760] Speed: 64.280695 samples/sec accuracy=36.592188 loss=2.812705 lr=0.100841 Epoch[021] Batch [3049]/[3760] Speed: 64.629751 samples/sec accuracy=36.614242 loss=2.811950 lr=0.100896 Epoch[021] Batch [3099]/[3760] Speed: 64.070650 samples/sec accuracy=36.628528 loss=2.811813 lr=0.100952 Epoch[021] Batch [3149]/[3760] Speed: 64.302798 samples/sec accuracy=36.603671 loss=2.813117 lr=0.101007 Epoch[021] Batch [3199]/[3760] Speed: 64.381818 samples/sec accuracy=36.611328 loss=2.812885 lr=0.101062 Epoch[021] Batch [3249]/[3760] Speed: 64.406334 samples/sec accuracy=36.611058 loss=2.813577 lr=0.101118 Epoch[021] Batch [3299]/[3760] Speed: 65.035364 samples/sec accuracy=36.626894 loss=2.812663 lr=0.101173 Epoch[021] Batch [3349]/[3760] Speed: 64.199912 samples/sec accuracy=36.627799 loss=2.812080 lr=0.101229 Epoch[021] Batch [3399]/[3760] Speed: 64.324822 samples/sec accuracy=36.624540 loss=2.812425 lr=0.101284 Epoch[021] Batch [3449]/[3760] Speed: 64.358344 samples/sec accuracy=36.618659 loss=2.812447 lr=0.101340 Epoch[021] Batch [3499]/[3760] Speed: 64.374057 samples/sec accuracy=36.621875 loss=2.812158 lr=0.101395 Epoch[021] Batch [3549]/[3760] Speed: 64.035045 samples/sec accuracy=36.624560 loss=2.812499 lr=0.101450 Epoch[021] Batch [3599]/[3760] Speed: 63.944157 samples/sec accuracy=36.635851 loss=2.812395 lr=0.101506 Epoch[021] Batch [3649]/[3760] Speed: 64.788755 samples/sec accuracy=36.620719 loss=2.813389 lr=0.101561 Epoch[021] Batch [3699]/[3760] Speed: 64.634909 samples/sec accuracy=36.612331 loss=2.814476 lr=0.101617 Epoch[021] Batch [3749]/[3760] Speed: 67.321885 samples/sec accuracy=36.638333 loss=2.813883 lr=0.101672 Batch [0049]/[0303]: acc-top1=35.250000 acc-top5=63.531250 Batch [0099]/[0303]: acc-top1=35.031250 acc-top5=62.750000 Batch [0149]/[0303]: acc-top1=35.177083 acc-top5=62.666667 Batch [0199]/[0303]: acc-top1=35.062500 acc-top5=62.437500 Batch [0249]/[0303]: acc-top1=35.062500 acc-top5=62.575000 Batch [0299]/[0303]: acc-top1=35.140625 acc-top5=62.578125 [Epoch 021] training: accuracy=36.633976 loss=2.813960 [Epoch 021] speed: 63 samples/sec time cost: 4048.426419 [Epoch 021] validation: acc-top1=35.158828 acc-top5=62.572195 loss=3.243827 Epoch[022] Batch [0049]/[3760] Speed: 42.550585 samples/sec accuracy=36.593750 loss=2.827142 lr=0.101739 Epoch[022] Batch [0099]/[3760] Speed: 62.656359 samples/sec accuracy=36.421875 loss=2.819841 lr=0.101794 Epoch[022] Batch [0149]/[3760] Speed: 63.851436 samples/sec accuracy=36.302083 loss=2.820436 lr=0.101849 Epoch[022] Batch [0199]/[3760] Speed: 62.544943 samples/sec accuracy=35.820312 loss=2.836796 lr=0.101905 Epoch[022] Batch [0249]/[3760] Speed: 64.572772 samples/sec accuracy=36.256250 loss=2.817774 lr=0.101960 Epoch[022] Batch [0299]/[3760] Speed: 63.817841 samples/sec accuracy=36.401042 loss=2.814660 lr=0.102016 Epoch[022] Batch [0349]/[3760] Speed: 64.307731 samples/sec accuracy=36.397321 loss=2.815815 lr=0.102071 Epoch[022] Batch [0399]/[3760] Speed: 64.551007 samples/sec accuracy=36.683594 loss=2.805185 lr=0.102127 Epoch[022] Batch [0449]/[3760] Speed: 64.351599 samples/sec accuracy=36.753472 loss=2.802160 lr=0.102182 Epoch[022] Batch [0499]/[3760] Speed: 64.383050 samples/sec accuracy=36.912500 loss=2.799938 lr=0.102237 Epoch[022] Batch [0549]/[3760] Speed: 64.212339 samples/sec accuracy=36.875000 loss=2.800084 lr=0.102293 Epoch[022] Batch [0599]/[3760] Speed: 64.312920 samples/sec accuracy=36.997396 loss=2.795435 lr=0.102348 Epoch[022] Batch [0649]/[3760] Speed: 64.071728 samples/sec accuracy=37.067308 loss=2.793098 lr=0.102404 Epoch[022] Batch [0699]/[3760] Speed: 64.164439 samples/sec accuracy=37.004464 loss=2.794733 lr=0.102459 Epoch[022] Batch [0749]/[3760] Speed: 64.521470 samples/sec accuracy=37.060417 loss=2.790556 lr=0.102515 Epoch[022] Batch [0799]/[3760] Speed: 64.320015 samples/sec accuracy=37.017578 loss=2.793127 lr=0.102570 Epoch[022] Batch [0849]/[3760] Speed: 64.555094 samples/sec accuracy=37.112132 loss=2.790921 lr=0.102625 Epoch[022] Batch [0899]/[3760] Speed: 63.952935 samples/sec accuracy=37.059028 loss=2.795635 lr=0.102681 Epoch[022] Batch [0949]/[3760] Speed: 64.543443 samples/sec accuracy=37.065789 loss=2.797182 lr=0.102736 Epoch[022] Batch [0999]/[3760] Speed: 64.549618 samples/sec accuracy=37.140625 loss=2.793465 lr=0.102792 Epoch[022] Batch [1049]/[3760] Speed: 64.184863 samples/sec accuracy=37.126488 loss=2.794959 lr=0.102847 Epoch[022] Batch [1099]/[3760] Speed: 64.843985 samples/sec accuracy=37.154830 loss=2.793066 lr=0.102903 Epoch[022] Batch [1149]/[3760] Speed: 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lr=0.103457 Epoch[022] Batch [1649]/[3760] Speed: 64.370533 samples/sec accuracy=36.996212 loss=2.799057 lr=0.103512 Epoch[022] Batch [1699]/[3760] Speed: 64.537576 samples/sec accuracy=36.980699 loss=2.799378 lr=0.103568 Epoch[022] Batch [1749]/[3760] Speed: 64.099626 samples/sec accuracy=36.978571 loss=2.799662 lr=0.103623 Epoch[022] Batch [1799]/[3760] Speed: 64.086508 samples/sec accuracy=36.940104 loss=2.800767 lr=0.103678 Epoch[022] Batch [1849]/[3760] Speed: 64.270974 samples/sec accuracy=36.920608 loss=2.802062 lr=0.103734 Epoch[022] Batch [1899]/[3760] Speed: 64.771718 samples/sec accuracy=36.946546 loss=2.800350 lr=0.103789 Epoch[022] Batch [1949]/[3760] Speed: 64.196515 samples/sec accuracy=36.993590 loss=2.799961 lr=0.103845 Epoch[022] Batch [1999]/[3760] Speed: 64.499793 samples/sec accuracy=36.996875 loss=2.800293 lr=0.103900 Epoch[022] Batch [2049]/[3760] Speed: 64.675742 samples/sec accuracy=36.945122 loss=2.802995 lr=0.103956 Epoch[022] Batch [2099]/[3760] Speed: 64.255776 samples/sec accuracy=36.920387 loss=2.804701 lr=0.104011 Epoch[022] Batch [2149]/[3760] Speed: 64.427445 samples/sec accuracy=36.909884 loss=2.804923 lr=0.104066 Epoch[022] Batch [2199]/[3760] Speed: 64.405534 samples/sec accuracy=36.874290 loss=2.808033 lr=0.104122 Epoch[022] Batch [2249]/[3760] Speed: 64.611521 samples/sec accuracy=36.855556 loss=2.808494 lr=0.104177 Epoch[022] Batch [2299]/[3760] Speed: 63.997237 samples/sec accuracy=36.857337 loss=2.808903 lr=0.104233 Epoch[022] Batch [2349]/[3760] Speed: 64.500893 samples/sec accuracy=36.855718 loss=2.809458 lr=0.104288 Epoch[022] Batch [2399]/[3760] Speed: 64.361015 samples/sec accuracy=36.844401 loss=2.810296 lr=0.104344 Epoch[022] Batch [2449]/[3760] Speed: 64.384980 samples/sec accuracy=36.823342 loss=2.810870 lr=0.104399 Epoch[022] Batch [2499]/[3760] Speed: 64.195200 samples/sec accuracy=36.803750 loss=2.811808 lr=0.104454 Epoch[022] Batch [2549]/[3760] Speed: 64.424165 samples/sec accuracy=36.802696 loss=2.811075 lr=0.104510 Epoch[022] Batch [2599]/[3760] Speed: 64.105306 samples/sec accuracy=36.762620 loss=2.812141 lr=0.104565 Epoch[022] Batch [2649]/[3760] Speed: 64.419970 samples/sec accuracy=36.776533 loss=2.811173 lr=0.104621 Epoch[022] Batch [2699]/[3760] Speed: 64.437707 samples/sec accuracy=36.748843 loss=2.811925 lr=0.104676 Epoch[022] Batch [2749]/[3760] Speed: 64.097654 samples/sec accuracy=36.759091 loss=2.811714 lr=0.104731 Epoch[022] Batch [2799]/[3760] Speed: 64.472935 samples/sec accuracy=36.758371 loss=2.811703 lr=0.104787 Epoch[022] Batch [2849]/[3760] Speed: 64.041705 samples/sec accuracy=36.764803 loss=2.811354 lr=0.104842 Epoch[022] Batch [2899]/[3760] Speed: 64.421869 samples/sec accuracy=36.753233 loss=2.812286 lr=0.104898 Epoch[022] Batch [2949]/[3760] Speed: 64.254642 samples/sec accuracy=36.755297 loss=2.812415 lr=0.104953 Epoch[022] Batch [2999]/[3760] Speed: 64.717115 samples/sec accuracy=36.742188 loss=2.813251 lr=0.105009 Epoch[022] Batch [3049]/[3760] Speed: 64.154557 samples/sec accuracy=36.706455 loss=2.813988 lr=0.105064 Epoch[022] Batch [3099]/[3760] Speed: 64.676087 samples/sec accuracy=36.704133 loss=2.814228 lr=0.105119 Epoch[022] Batch [3149]/[3760] Speed: 64.231827 samples/sec accuracy=36.698413 loss=2.814605 lr=0.105175 Epoch[022] Batch [3199]/[3760] Speed: 64.311531 samples/sec accuracy=36.683594 loss=2.815005 lr=0.105230 Epoch[022] Batch [3249]/[3760] Speed: 64.513917 samples/sec accuracy=36.677885 loss=2.815028 lr=0.105286 Epoch[022] Batch [3299]/[3760] Speed: 64.376453 samples/sec accuracy=36.659091 loss=2.815659 lr=0.105341 Epoch[022] Batch [3349]/[3760] Speed: 64.044093 samples/sec accuracy=36.645522 loss=2.816132 lr=0.105397 Epoch[022] Batch [3399]/[3760] Speed: 64.368920 samples/sec accuracy=36.650735 loss=2.816019 lr=0.105452 Epoch[022] Batch [3449]/[3760] Speed: 64.064945 samples/sec accuracy=36.641757 loss=2.816712 lr=0.105507 Epoch[022] Batch [3499]/[3760] Speed: 64.483584 samples/sec accuracy=36.628571 loss=2.816910 lr=0.105563 Epoch[022] Batch [3549]/[3760] Speed: 64.211329 samples/sec accuracy=36.611356 loss=2.817014 lr=0.105618 Epoch[022] Batch [3599]/[3760] Speed: 64.303238 samples/sec accuracy=36.601562 loss=2.817066 lr=0.105674 Epoch[022] Batch [3649]/[3760] Speed: 63.931811 samples/sec accuracy=36.602312 loss=2.816838 lr=0.105729 Epoch[022] Batch [3699]/[3760] Speed: 63.890270 samples/sec accuracy=36.619088 loss=2.816829 lr=0.105785 Epoch[022] Batch [3749]/[3760] Speed: 68.201553 samples/sec accuracy=36.624167 loss=2.817061 lr=0.105840 Batch [0049]/[0303]: acc-top1=35.968750 acc-top5=63.906250 Batch [0099]/[0303]: acc-top1=35.781250 acc-top5=63.687500 Batch [0149]/[0303]: acc-top1=35.614583 acc-top5=63.520833 Batch [0199]/[0303]: acc-top1=35.781250 acc-top5=63.500000 Batch [0249]/[0303]: acc-top1=35.956250 acc-top5=63.518750 Batch [0299]/[0303]: acc-top1=35.953125 acc-top5=63.723958 [Epoch 022] training: accuracy=36.628158 loss=2.816886 [Epoch 022] speed: 63 samples/sec time cost: 4052.959669 [Epoch 022] validation: acc-top1=35.963284 acc-top5=63.758251 loss=3.165900 Epoch[023] Batch [0049]/[3759] Speed: 42.220454 samples/sec accuracy=36.937500 loss=2.802542 lr=0.105906 Epoch[023] Batch [0099]/[3759] Speed: 62.601967 samples/sec accuracy=37.171875 loss=2.809051 lr=0.105962 Epoch[023] Batch [0149]/[3759] Speed: 63.928061 samples/sec accuracy=36.770833 loss=2.811179 lr=0.106017 Epoch[023] Batch [0199]/[3759] Speed: 63.898786 samples/sec accuracy=36.828125 loss=2.808340 lr=0.106073 Epoch[023] Batch [0249]/[3759] Speed: 64.699413 samples/sec accuracy=36.968750 loss=2.802188 lr=0.106128 Epoch[023] Batch [0299]/[3759] Speed: 64.052864 samples/sec accuracy=36.880208 loss=2.798824 lr=0.106184 Epoch[023] Batch [0349]/[3759] Speed: 64.428739 samples/sec accuracy=36.745536 loss=2.805751 lr=0.106239 Epoch[023] Batch [0399]/[3759] Speed: 64.165985 samples/sec accuracy=36.890625 loss=2.799566 lr=0.106294 Epoch[023] Batch [0449]/[3759] Speed: 64.564325 samples/sec accuracy=36.940972 loss=2.799261 lr=0.106350 Epoch[023] Batch [0499]/[3759] Speed: 64.505788 samples/sec accuracy=36.887500 loss=2.803319 lr=0.106405 Epoch[023] Batch [0549]/[3759] Speed: 64.495120 samples/sec accuracy=36.917614 loss=2.804151 lr=0.106461 Epoch[023] Batch [0599]/[3759] Speed: 64.773693 samples/sec accuracy=36.851562 loss=2.806373 lr=0.106516 Epoch[023] Batch [0649]/[3759] Speed: 64.267133 samples/sec accuracy=36.737981 loss=2.807672 lr=0.106572 Epoch[023] Batch [0699]/[3759] Speed: 64.184635 samples/sec accuracy=36.787946 loss=2.804089 lr=0.106627 Epoch[023] Batch [0749]/[3759] Speed: 64.867628 samples/sec accuracy=36.847917 loss=2.802795 lr=0.106682 Epoch[023] Batch [0799]/[3759] Speed: 64.738380 samples/sec accuracy=36.777344 loss=2.805600 lr=0.106738 Epoch[023] Batch [0849]/[3759] Speed: 64.687182 samples/sec accuracy=36.772059 loss=2.806043 lr=0.106793 Epoch[023] Batch [0899]/[3759] Speed: 64.766367 samples/sec accuracy=36.756944 loss=2.807262 lr=0.106849 Epoch[023] Batch [0949]/[3759] Speed: 64.279192 samples/sec accuracy=36.773026 loss=2.809117 lr=0.106904 Epoch[023] Batch [0999]/[3759] Speed: 64.380492 samples/sec accuracy=36.723438 loss=2.808677 lr=0.106959 Epoch[023] Batch [1049]/[3759] Speed: 64.615462 samples/sec accuracy=36.697917 loss=2.808816 lr=0.107015 Epoch[023] Batch [1099]/[3759] Speed: 64.462219 samples/sec accuracy=36.677557 loss=2.809394 lr=0.107070 Epoch[023] Batch [1149]/[3759] Speed: 64.308180 samples/sec accuracy=36.690217 loss=2.810138 lr=0.107126 Epoch[023] Batch [1199]/[3759] Speed: 64.249523 samples/sec accuracy=36.628906 loss=2.812522 lr=0.107181 Epoch[023] Batch [1249]/[3759] Speed: 64.129231 samples/sec accuracy=36.656250 loss=2.809732 lr=0.107237 Epoch[023] Batch [1299]/[3759] Speed: 64.663755 samples/sec accuracy=36.641827 loss=2.811600 lr=0.107292 Epoch[023] Batch [1349]/[3759] Speed: 64.016632 samples/sec accuracy=36.567130 loss=2.813746 lr=0.107347 Epoch[023] Batch [1399]/[3759] Speed: 64.719214 samples/sec accuracy=36.536830 loss=2.815562 lr=0.107403 Epoch[023] Batch [1449]/[3759] Speed: 64.189096 samples/sec accuracy=36.504310 loss=2.815578 lr=0.107458 Epoch[023] Batch [1499]/[3759] Speed: 64.499813 samples/sec accuracy=36.505208 loss=2.815693 lr=0.107514 Epoch[023] Batch [1549]/[3759] Speed: 64.491698 samples/sec accuracy=36.485887 loss=2.816219 lr=0.107569 Epoch[023] Batch [1599]/[3759] Speed: 63.976868 samples/sec accuracy=36.500977 loss=2.817118 lr=0.107625 Epoch[023] Batch [1649]/[3759] Speed: 64.379635 samples/sec accuracy=36.515152 loss=2.817220 lr=0.107680 Epoch[023] Batch [1699]/[3759] Speed: 64.524794 samples/sec accuracy=36.511949 loss=2.817997 lr=0.107735 Epoch[023] Batch [1749]/[3759] Speed: 64.204471 samples/sec accuracy=36.499107 loss=2.819304 lr=0.107791 Epoch[023] Batch [1799]/[3759] Speed: 64.747482 samples/sec accuracy=36.508681 loss=2.818805 lr=0.107846 Epoch[023] Batch [1849]/[3759] Speed: 64.339264 samples/sec accuracy=36.466216 loss=2.819070 lr=0.107902 Epoch[023] 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accuracy=36.512633 loss=2.820189 lr=0.108456 Epoch[023] Batch [2399]/[3759] Speed: 64.249901 samples/sec accuracy=36.528646 loss=2.819889 lr=0.108511 Epoch[023] Batch [2449]/[3759] Speed: 64.462730 samples/sec accuracy=36.489158 loss=2.820775 lr=0.108567 Epoch[023] Batch [2499]/[3759] Speed: 64.444126 samples/sec accuracy=36.485625 loss=2.821287 lr=0.108622 Epoch[023] Batch [2549]/[3759] Speed: 64.065717 samples/sec accuracy=36.493260 loss=2.820989 lr=0.108678 Epoch[023] Batch [2599]/[3759] Speed: 64.554222 samples/sec accuracy=36.466346 loss=2.822077 lr=0.108733 Epoch[023] Batch [2649]/[3759] Speed: 64.721918 samples/sec accuracy=36.428066 loss=2.823987 lr=0.108788 Epoch[023] Batch [2699]/[3759] Speed: 64.551435 samples/sec accuracy=36.429398 loss=2.823865 lr=0.108844 Epoch[023] Batch [2749]/[3759] Speed: 64.495622 samples/sec accuracy=36.440909 loss=2.823823 lr=0.108899 Epoch[023] Batch [2799]/[3759] Speed: 64.416916 samples/sec accuracy=36.445312 loss=2.823650 lr=0.108955 Epoch[023] 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accuracy=36.472064 loss=2.826191 lr=0.109509 Epoch[023] Batch [3349]/[3759] Speed: 64.754992 samples/sec accuracy=36.457556 loss=2.825797 lr=0.109564 Epoch[023] Batch [3399]/[3759] Speed: 64.211130 samples/sec accuracy=36.433824 loss=2.826452 lr=0.109620 Epoch[023] Batch [3449]/[3759] Speed: 64.211437 samples/sec accuracy=36.422554 loss=2.827332 lr=0.109675 Epoch[023] Batch [3499]/[3759] Speed: 64.158876 samples/sec accuracy=36.451339 loss=2.825880 lr=0.109731 Epoch[023] Batch [3549]/[3759] Speed: 64.680198 samples/sec accuracy=36.437060 loss=2.826341 lr=0.109786 Epoch[023] Batch [3599]/[3759] Speed: 64.289909 samples/sec accuracy=36.423611 loss=2.826545 lr=0.109841 Epoch[023] Batch [3649]/[3759] Speed: 64.460135 samples/sec accuracy=36.427226 loss=2.826396 lr=0.109897 Epoch[023] Batch [3699]/[3759] Speed: 64.596676 samples/sec accuracy=36.442568 loss=2.826081 lr=0.109952 Epoch[023] Batch [3749]/[3759] Speed: 67.982374 samples/sec accuracy=36.434167 loss=2.826907 lr=0.110000 Batch [0049]/[0303]: acc-top1=34.937500 acc-top5=63.468750 Batch [0099]/[0303]: acc-top1=34.468750 acc-top5=63.171875 Batch [0149]/[0303]: acc-top1=34.770833 acc-top5=63.197917 Batch [0199]/[0303]: acc-top1=34.554688 acc-top5=63.164062 Batch [0249]/[0303]: acc-top1=34.575000 acc-top5=63.225000 Batch [0299]/[0303]: acc-top1=34.520833 acc-top5=63.166667 [Epoch 023] training: accuracy=36.435887 loss=2.826910 [Epoch 023] speed: 64 samples/sec time cost: 4045.007262 [Epoch 023] validation: acc-top1=34.555487 acc-top5=63.170380 loss=3.078144 Epoch[024] Batch [0049]/[3760] Speed: 42.252806 samples/sec accuracy=37.062500 loss=2.759667 lr=0.110000 Epoch[024] Batch [0099]/[3760] Speed: 63.430765 samples/sec accuracy=36.921875 loss=2.752107 lr=0.110000 Epoch[024] Batch [0149]/[3760] Speed: 64.422059 samples/sec accuracy=37.187500 loss=2.765330 lr=0.110000 Epoch[024] Batch [0199]/[3760] Speed: 64.389010 samples/sec accuracy=36.593750 loss=2.779574 lr=0.110000 Epoch[024] Batch [0249]/[3760] Speed: 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lr=0.110000 Epoch[024] Batch [0749]/[3760] Speed: 64.145377 samples/sec accuracy=37.079167 loss=2.781086 lr=0.110000 Epoch[024] Batch [0799]/[3760] Speed: 64.666161 samples/sec accuracy=37.080078 loss=2.779730 lr=0.110000 Epoch[024] Batch [0849]/[3760] Speed: 64.423574 samples/sec accuracy=37.152574 loss=2.777000 lr=0.110000 Epoch[024] Batch [0899]/[3760] Speed: 64.920698 samples/sec accuracy=37.088542 loss=2.781695 lr=0.109999 Epoch[024] Batch [0949]/[3760] Speed: 64.055795 samples/sec accuracy=37.082237 loss=2.782451 lr=0.109999 Epoch[024] Batch [0999]/[3760] Speed: 64.398054 samples/sec accuracy=37.045313 loss=2.785896 lr=0.109999 Epoch[024] Batch [1049]/[3760] Speed: 64.530973 samples/sec accuracy=37.068452 loss=2.787034 lr=0.109999 Epoch[024] Batch [1099]/[3760] Speed: 64.674939 samples/sec accuracy=36.981534 loss=2.790779 lr=0.109999 Epoch[024] Batch [1149]/[3760] Speed: 64.324818 samples/sec accuracy=36.922554 loss=2.792124 lr=0.109999 Epoch[024] Batch [1199]/[3760] Speed: 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lr=0.109998 Epoch[024] Batch [1699]/[3760] Speed: 64.785714 samples/sec accuracy=36.714154 loss=2.800644 lr=0.109998 Epoch[024] Batch [1749]/[3760] Speed: 64.601159 samples/sec accuracy=36.672321 loss=2.802704 lr=0.109998 Epoch[024] Batch [1799]/[3760] Speed: 64.340838 samples/sec accuracy=36.663194 loss=2.803452 lr=0.109998 Epoch[024] Batch [1849]/[3760] Speed: 64.316090 samples/sec accuracy=36.658784 loss=2.804398 lr=0.109998 Epoch[024] Batch [1899]/[3760] Speed: 64.678199 samples/sec accuracy=36.640625 loss=2.805861 lr=0.109998 Epoch[024] Batch [1949]/[3760] Speed: 64.478187 samples/sec accuracy=36.617788 loss=2.806445 lr=0.109997 Epoch[024] Batch [1999]/[3760] Speed: 64.893745 samples/sec accuracy=36.617969 loss=2.807602 lr=0.109997 Epoch[024] Batch [2049]/[3760] Speed: 64.993281 samples/sec accuracy=36.623476 loss=2.807536 lr=0.109997 Epoch[024] Batch [2099]/[3760] Speed: 64.582415 samples/sec accuracy=36.590774 loss=2.809613 lr=0.109997 Epoch[024] Batch [2149]/[3760] Speed: 64.325344 samples/sec accuracy=36.586483 loss=2.809849 lr=0.109997 Epoch[024] Batch [2199]/[3760] Speed: 64.238046 samples/sec accuracy=36.598011 loss=2.810125 lr=0.109997 Epoch[024] Batch [2249]/[3760] Speed: 64.852987 samples/sec accuracy=36.597222 loss=2.810332 lr=0.109997 Epoch[024] Batch [2299]/[3760] Speed: 64.164755 samples/sec accuracy=36.589674 loss=2.811036 lr=0.109997 Epoch[024] Batch [2349]/[3760] Speed: 64.559247 samples/sec accuracy=36.605718 loss=2.811955 lr=0.109996 Epoch[024] Batch [2399]/[3760] Speed: 63.680164 samples/sec accuracy=36.600260 loss=2.812656 lr=0.109996 Epoch[024] Batch [2449]/[3760] Speed: 65.066166 samples/sec accuracy=36.614158 loss=2.812476 lr=0.109996 Epoch[024] Batch [2499]/[3760] Speed: 64.154695 samples/sec accuracy=36.590000 loss=2.813531 lr=0.109996 Epoch[024] Batch [2549]/[3760] Speed: 64.218308 samples/sec accuracy=36.608456 loss=2.812807 lr=0.109996 Epoch[024] Batch [2599]/[3760] Speed: 64.786098 samples/sec accuracy=36.618389 loss=2.812786 lr=0.109996 Epoch[024] Batch [2649]/[3760] Speed: 64.738617 samples/sec accuracy=36.633255 loss=2.812280 lr=0.109995 Epoch[024] Batch [2699]/[3760] Speed: 64.389323 samples/sec accuracy=36.645255 loss=2.812370 lr=0.109995 Epoch[024] Batch [2749]/[3760] Speed: 64.026265 samples/sec accuracy=36.641477 loss=2.812343 lr=0.109995 Epoch[024] Batch [2799]/[3760] Speed: 64.586387 samples/sec accuracy=36.613281 loss=2.812716 lr=0.109995 Epoch[024] Batch [2849]/[3760] Speed: 64.361908 samples/sec accuracy=36.604715 loss=2.813009 lr=0.109995 Epoch[024] Batch [2899]/[3760] Speed: 64.081155 samples/sec accuracy=36.568966 loss=2.814750 lr=0.109994 Epoch[024] Batch [2949]/[3760] Speed: 64.545034 samples/sec accuracy=36.570975 loss=2.815198 lr=0.109994 Epoch[024] Batch [2999]/[3760] Speed: 64.080911 samples/sec accuracy=36.584375 loss=2.814527 lr=0.109994 Epoch[024] Batch [3049]/[3760] Speed: 64.289790 samples/sec accuracy=36.575307 loss=2.814962 lr=0.109994 Epoch[024] Batch [3099]/[3760] Speed: 64.119627 samples/sec accuracy=36.608367 loss=2.814055 lr=0.109994 Epoch[024] Batch [3149]/[3760] Speed: 64.116708 samples/sec accuracy=36.613591 loss=2.814008 lr=0.109993 Epoch[024] Batch [3199]/[3760] Speed: 64.188280 samples/sec accuracy=36.607910 loss=2.813556 lr=0.109993 Epoch[024] Batch [3249]/[3760] Speed: 64.303467 samples/sec accuracy=36.609135 loss=2.814599 lr=0.109993 Epoch[024] Batch [3299]/[3760] Speed: 64.170886 samples/sec accuracy=36.614110 loss=2.814288 lr=0.109993 Epoch[024] Batch [3349]/[3760] Speed: 64.356741 samples/sec accuracy=36.628265 loss=2.813646 lr=0.109993 Epoch[024] Batch [3399]/[3760] Speed: 64.154054 samples/sec accuracy=36.607996 loss=2.814408 lr=0.109992 Epoch[024] Batch [3449]/[3760] Speed: 64.113763 samples/sec accuracy=36.610960 loss=2.814379 lr=0.109992 Epoch[024] Batch [3499]/[3760] Speed: 64.407640 samples/sec accuracy=36.597768 loss=2.814588 lr=0.109992 Epoch[024] Batch [3549]/[3760] Speed: 64.116071 samples/sec accuracy=36.598151 loss=2.814811 lr=0.109992 Epoch[024] Batch [3599]/[3760] Speed: 64.473406 samples/sec accuracy=36.595052 loss=2.815264 lr=0.109992 Epoch[024] Batch [3649]/[3760] Speed: 64.463717 samples/sec accuracy=36.603168 loss=2.814854 lr=0.109991 Epoch[024] Batch [3699]/[3760] Speed: 64.253366 samples/sec accuracy=36.606419 loss=2.814969 lr=0.109991 Epoch[024] Batch [3749]/[3760] Speed: 68.070179 samples/sec accuracy=36.626667 loss=2.814138 lr=0.109991 Batch [0049]/[0303]: acc-top1=34.250000 acc-top5=62.625000 Batch [0099]/[0303]: acc-top1=34.625000 acc-top5=62.859375 Batch [0149]/[0303]: acc-top1=34.739583 acc-top5=62.625000 Batch [0199]/[0303]: acc-top1=34.953125 acc-top5=62.617188 Batch [0249]/[0303]: acc-top1=35.125000 acc-top5=62.725000 Batch [0299]/[0303]: acc-top1=35.208333 acc-top5=62.817708 [Epoch 024] training: accuracy=36.631067 loss=2.814194 [Epoch 024] speed: 64 samples/sec time cost: 4043.263725 [Epoch 024] validation: acc-top1=35.205239 acc-top5=62.840347 loss=3.188352 Epoch[025] Batch 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accuracy=36.825000 loss=2.796066 lr=0.109988 Epoch[025] Batch [0549]/[3760] Speed: 64.389384 samples/sec accuracy=36.875000 loss=2.797291 lr=0.109988 Epoch[025] Batch [0599]/[3760] Speed: 64.165656 samples/sec accuracy=36.888021 loss=2.794227 lr=0.109988 Epoch[025] Batch [0649]/[3760] Speed: 64.792049 samples/sec accuracy=36.891827 loss=2.795234 lr=0.109987 Epoch[025] Batch [0699]/[3760] Speed: 64.114354 samples/sec accuracy=36.868304 loss=2.793784 lr=0.109987 Epoch[025] Batch [0749]/[3760] Speed: 64.635234 samples/sec accuracy=36.920833 loss=2.795387 lr=0.109987 Epoch[025] Batch [0799]/[3760] Speed: 64.116888 samples/sec accuracy=37.007812 loss=2.790554 lr=0.109986 Epoch[025] Batch [0849]/[3760] Speed: 64.303201 samples/sec accuracy=36.946691 loss=2.794017 lr=0.109986 Epoch[025] Batch [0899]/[3760] Speed: 64.248565 samples/sec accuracy=36.939236 loss=2.792980 lr=0.109986 Epoch[025] Batch [0949]/[3760] Speed: 64.322127 samples/sec accuracy=36.868421 loss=2.794815 lr=0.109986 Epoch[025] Batch [0999]/[3760] Speed: 64.653898 samples/sec accuracy=36.846875 loss=2.795424 lr=0.109985 Epoch[025] Batch [1049]/[3760] Speed: 64.228965 samples/sec accuracy=36.915179 loss=2.793076 lr=0.109985 Epoch[025] Batch [1099]/[3760] Speed: 64.490162 samples/sec accuracy=36.926136 loss=2.792362 lr=0.109985 Epoch[025] Batch [1149]/[3760] Speed: 64.553653 samples/sec accuracy=36.911685 loss=2.793212 lr=0.109984 Epoch[025] Batch [1199]/[3760] Speed: 64.209126 samples/sec accuracy=36.882812 loss=2.793594 lr=0.109984 Epoch[025] Batch [1249]/[3760] Speed: 64.174413 samples/sec accuracy=36.918750 loss=2.793449 lr=0.109984 Epoch[025] Batch [1299]/[3760] Speed: 64.409374 samples/sec accuracy=36.913462 loss=2.794442 lr=0.109983 Epoch[025] Batch [1349]/[3760] Speed: 64.103603 samples/sec accuracy=36.887731 loss=2.795963 lr=0.109983 Epoch[025] Batch [1399]/[3760] Speed: 64.682294 samples/sec accuracy=36.851562 loss=2.797414 lr=0.109983 Epoch[025] Batch [1449]/[3760] Speed: 63.978498 samples/sec accuracy=36.876078 loss=2.798822 lr=0.109982 Epoch[025] Batch [1499]/[3760] Speed: 64.309270 samples/sec accuracy=36.891667 loss=2.798571 lr=0.109982 Epoch[025] Batch [1549]/[3760] Speed: 64.244621 samples/sec accuracy=36.850806 loss=2.799639 lr=0.109982 Epoch[025] Batch [1599]/[3760] Speed: 64.245459 samples/sec accuracy=36.883789 loss=2.798018 lr=0.109981 Epoch[025] Batch [1649]/[3760] Speed: 64.301181 samples/sec accuracy=36.891098 loss=2.798014 lr=0.109981 Epoch[025] Batch [1699]/[3760] Speed: 64.246862 samples/sec accuracy=36.875000 loss=2.798513 lr=0.109981 Epoch[025] Batch [1749]/[3760] Speed: 64.263959 samples/sec accuracy=36.895536 loss=2.797418 lr=0.109980 Epoch[025] Batch [1799]/[3760] Speed: 64.113571 samples/sec accuracy=36.885417 loss=2.796647 lr=0.109980 Epoch[025] Batch [1849]/[3760] Speed: 64.271632 samples/sec accuracy=36.871622 loss=2.797534 lr=0.109979 Epoch[025] Batch [1899]/[3760] Speed: 64.986385 samples/sec accuracy=36.859375 loss=2.798386 lr=0.109979 Epoch[025] Batch [1949]/[3760] Speed: 64.035624 samples/sec accuracy=36.821314 loss=2.800085 lr=0.109979 Epoch[025] Batch [1999]/[3760] Speed: 64.296565 samples/sec accuracy=36.803906 loss=2.800086 lr=0.109978 Epoch[025] Batch [2049]/[3760] Speed: 64.371131 samples/sec accuracy=36.809451 loss=2.799807 lr=0.109978 Epoch[025] Batch [2099]/[3760] Speed: 64.394491 samples/sec accuracy=36.830357 loss=2.799358 lr=0.109978 Epoch[025] Batch [2149]/[3760] Speed: 64.270727 samples/sec accuracy=36.853198 loss=2.798288 lr=0.109977 Epoch[025] Batch [2199]/[3760] Speed: 64.054353 samples/sec accuracy=36.860085 loss=2.797312 lr=0.109977 Epoch[025] Batch [2249]/[3760] Speed: 64.577934 samples/sec accuracy=36.877778 loss=2.796587 lr=0.109976 Epoch[025] Batch [2299]/[3760] Speed: 64.570323 samples/sec accuracy=36.889946 loss=2.796550 lr=0.109976 Epoch[025] Batch [2349]/[3760] Speed: 64.513079 samples/sec accuracy=36.893617 loss=2.795440 lr=0.109976 Epoch[025] Batch [2399]/[3760] Speed: 64.535714 samples/sec accuracy=36.921875 loss=2.795266 lr=0.109975 Epoch[025] Batch [2449]/[3760] Speed: 64.113835 samples/sec accuracy=36.910714 loss=2.795648 lr=0.109975 Epoch[025] Batch [2499]/[3760] Speed: 64.351953 samples/sec accuracy=36.912500 loss=2.796032 lr=0.109974 Epoch[025] Batch [2549]/[3760] Speed: 64.384194 samples/sec accuracy=36.951593 loss=2.795092 lr=0.109974 Epoch[025] Batch [2599]/[3760] Speed: 64.139786 samples/sec accuracy=36.929688 loss=2.796140 lr=0.109974 Epoch[025] Batch [2649]/[3760] Speed: 64.416742 samples/sec accuracy=36.911557 loss=2.796681 lr=0.109973 Epoch[025] Batch [2699]/[3760] Speed: 64.496457 samples/sec accuracy=36.918403 loss=2.796524 lr=0.109973 Epoch[025] Batch [2749]/[3760] Speed: 64.181810 samples/sec accuracy=36.911932 loss=2.796279 lr=0.109972 Epoch[025] Batch [2799]/[3760] Speed: 64.240272 samples/sec accuracy=36.899554 loss=2.796634 lr=0.109972 Epoch[025] Batch [2849]/[3760] Speed: 64.702052 samples/sec accuracy=36.881031 loss=2.797452 lr=0.109972 Epoch[025] Batch [2899]/[3760] Speed: 64.139450 samples/sec accuracy=36.864763 loss=2.798009 lr=0.109971 Epoch[025] Batch [2949]/[3760] Speed: 64.513774 samples/sec accuracy=36.879237 loss=2.797505 lr=0.109971 Epoch[025] Batch [2999]/[3760] Speed: 63.838244 samples/sec accuracy=36.897396 loss=2.797095 lr=0.109970 Epoch[025] Batch [3049]/[3760] Speed: 64.569014 samples/sec accuracy=36.891393 loss=2.797360 lr=0.109970 Epoch[025] Batch [3099]/[3760] Speed: 64.321151 samples/sec accuracy=36.905242 loss=2.796907 lr=0.109969 Epoch[025] Batch [3149]/[3760] Speed: 64.263308 samples/sec accuracy=36.899306 loss=2.797973 lr=0.109969 Epoch[025] Batch [3199]/[3760] Speed: 64.291033 samples/sec accuracy=36.897461 loss=2.798772 lr=0.109968 Epoch[025] Batch [3249]/[3760] Speed: 64.886572 samples/sec accuracy=36.889423 loss=2.798926 lr=0.109968 Epoch[025] Batch [3299]/[3760] Speed: 64.219803 samples/sec accuracy=36.900095 loss=2.798902 lr=0.109968 Epoch[025] Batch [3349]/[3760] Speed: 64.936731 samples/sec accuracy=36.886660 loss=2.799490 lr=0.109967 Epoch[025] Batch [3399]/[3760] Speed: 64.356414 samples/sec accuracy=36.900276 loss=2.799117 lr=0.109967 Epoch[025] Batch [3449]/[3760] Speed: 64.488159 samples/sec accuracy=36.879076 loss=2.799738 lr=0.109966 Epoch[025] Batch [3499]/[3760] Speed: 64.125130 samples/sec accuracy=36.880804 loss=2.799961 lr=0.109966 Epoch[025] Batch [3549]/[3760] Speed: 64.415763 samples/sec accuracy=36.878961 loss=2.801060 lr=0.109965 Epoch[025] Batch [3599]/[3760] Speed: 64.203775 samples/sec accuracy=36.868056 loss=2.801754 lr=0.109965 Epoch[025] Batch [3649]/[3760] Speed: 64.488951 samples/sec accuracy=36.860873 loss=2.802559 lr=0.109964 Epoch[025] Batch [3699]/[3760] Speed: 64.229396 samples/sec accuracy=36.865287 loss=2.801909 lr=0.109964 Epoch[025] Batch [3749]/[3760] Speed: 68.276825 samples/sec accuracy=36.881667 loss=2.801675 lr=0.109963 Batch [0049]/[0303]: acc-top1=35.343750 acc-top5=62.718750 Batch [0099]/[0303]: acc-top1=35.531250 acc-top5=63.109375 Batch [0149]/[0303]: acc-top1=35.677083 acc-top5=63.187500 Batch [0199]/[0303]: acc-top1=35.492188 acc-top5=63.250000 Batch [0249]/[0303]: acc-top1=35.568750 acc-top5=63.300000 Batch [0299]/[0303]: acc-top1=35.791667 acc-top5=63.505208 [Epoch 025] training: accuracy=36.886636 loss=2.801367 [Epoch 025] speed: 63 samples/sec time cost: 4052.177052 [Epoch 025] validation: acc-top1=35.808581 acc-top5=63.521040 loss=3.147726 Epoch[026] Batch [0049]/[3759] Speed: 42.680642 samples/sec accuracy=37.843750 loss=2.768542 lr=0.109963 Epoch[026] Batch [0099]/[3759] Speed: 62.253913 samples/sec accuracy=37.593750 loss=2.757077 lr=0.109962 Epoch[026] Batch [0149]/[3759] Speed: 64.145628 samples/sec accuracy=37.458333 loss=2.764207 lr=0.109962 Epoch[026] Batch [0199]/[3759] Speed: 63.759585 samples/sec accuracy=37.343750 loss=2.775401 lr=0.109961 Epoch[026] Batch [0249]/[3759] Speed: 64.683717 samples/sec accuracy=37.287500 loss=2.782434 lr=0.109961 Epoch[026] Batch [0299]/[3759] 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loss=2.783731 lr=0.109955 Epoch[026] Batch [0799]/[3759] Speed: 63.956392 samples/sec accuracy=37.314453 loss=2.780518 lr=0.109955 Epoch[026] Batch [0849]/[3759] Speed: 64.699043 samples/sec accuracy=37.318015 loss=2.779363 lr=0.109954 Epoch[026] Batch [0899]/[3759] Speed: 64.508341 samples/sec accuracy=37.369792 loss=2.778362 lr=0.109954 Epoch[026] Batch [0949]/[3759] Speed: 64.445060 samples/sec accuracy=37.281250 loss=2.781460 lr=0.109953 Epoch[026] Batch [0999]/[3759] Speed: 64.408383 samples/sec accuracy=37.187500 loss=2.784686 lr=0.109953 Epoch[026] Batch [1049]/[3759] Speed: 64.678286 samples/sec accuracy=37.199405 loss=2.784476 lr=0.109952 Epoch[026] Batch [1099]/[3759] Speed: 64.521368 samples/sec accuracy=37.174716 loss=2.784084 lr=0.109952 Epoch[026] Batch [1149]/[3759] Speed: 64.525087 samples/sec accuracy=37.080163 loss=2.790380 lr=0.109951 Epoch[026] Batch [1199]/[3759] Speed: 64.644428 samples/sec accuracy=37.072917 loss=2.791264 lr=0.109950 Epoch[026] Batch 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accuracy=37.055147 loss=2.790412 lr=0.109945 Epoch[026] Batch [1749]/[3759] Speed: 64.797243 samples/sec accuracy=37.055357 loss=2.790157 lr=0.109944 Epoch[026] Batch [1799]/[3759] Speed: 64.961748 samples/sec accuracy=37.013889 loss=2.792294 lr=0.109943 Epoch[026] Batch [1849]/[3759] Speed: 63.855233 samples/sec accuracy=37.045608 loss=2.791450 lr=0.109943 Epoch[026] Batch [1899]/[3759] Speed: 63.915763 samples/sec accuracy=37.050987 loss=2.792164 lr=0.109942 Epoch[026] Batch [1949]/[3759] Speed: 64.855977 samples/sec accuracy=37.024038 loss=2.792553 lr=0.109942 Epoch[026] Batch [1999]/[3759] Speed: 64.077081 samples/sec accuracy=37.004688 loss=2.792911 lr=0.109941 Epoch[026] Batch [2049]/[3759] Speed: 64.494727 samples/sec accuracy=37.007622 loss=2.793550 lr=0.109940 Epoch[026] Batch [2099]/[3759] Speed: 64.822881 samples/sec accuracy=37.032738 loss=2.792021 lr=0.109940 Epoch[026] Batch [2149]/[3759] Speed: 64.781916 samples/sec accuracy=37.042151 loss=2.791774 lr=0.109939 Epoch[026] Batch [2199]/[3759] Speed: 64.551735 samples/sec accuracy=37.058949 loss=2.791450 lr=0.109938 Epoch[026] Batch [2249]/[3759] Speed: 64.139146 samples/sec accuracy=37.053472 loss=2.791490 lr=0.109938 Epoch[026] Batch [2299]/[3759] Speed: 64.673655 samples/sec accuracy=37.059103 loss=2.791158 lr=0.109937 Epoch[026] Batch [2349]/[3759] Speed: 64.168114 samples/sec accuracy=37.040559 loss=2.791967 lr=0.109937 Epoch[026] Batch [2399]/[3759] Speed: 64.292969 samples/sec accuracy=37.033854 loss=2.793039 lr=0.109936 Epoch[026] Batch [2449]/[3759] Speed: 64.334371 samples/sec accuracy=37.036990 loss=2.792188 lr=0.109935 Epoch[026] Batch [2499]/[3759] Speed: 64.619034 samples/sec accuracy=37.016875 loss=2.793183 lr=0.109935 Epoch[026] Batch [2549]/[3759] Speed: 64.812478 samples/sec accuracy=37.020833 loss=2.792356 lr=0.109934 Epoch[026] Batch [2599]/[3759] Speed: 64.452923 samples/sec accuracy=37.016226 loss=2.792356 lr=0.109933 Epoch[026] Batch [2649]/[3759] Speed: 64.800157 samples/sec accuracy=37.005896 loss=2.793005 lr=0.109933 Epoch[026] Batch [2699]/[3759] Speed: 64.566009 samples/sec accuracy=37.018519 loss=2.791802 lr=0.109932 Epoch[026] Batch [2749]/[3759] Speed: 64.411199 samples/sec accuracy=37.000000 loss=2.792881 lr=0.109931 Epoch[026] Batch [2799]/[3759] Speed: 64.180003 samples/sec accuracy=36.984375 loss=2.793069 lr=0.109931 Epoch[026] Batch [2849]/[3759] Speed: 64.460164 samples/sec accuracy=36.981360 loss=2.793459 lr=0.109930 Epoch[026] Batch [2899]/[3759] Speed: 64.800326 samples/sec accuracy=36.960129 loss=2.794619 lr=0.109929 Epoch[026] Batch [2949]/[3759] Speed: 64.997560 samples/sec accuracy=36.964513 loss=2.794314 lr=0.109929 Epoch[026] Batch [2999]/[3759] Speed: 64.439773 samples/sec accuracy=36.941146 loss=2.795234 lr=0.109928 Epoch[026] Batch [3049]/[3759] Speed: 64.046149 samples/sec accuracy=36.955943 loss=2.795306 lr=0.109927 Epoch[026] Batch [3099]/[3759] Speed: 64.385127 samples/sec accuracy=36.949597 loss=2.795156 lr=0.109927 Epoch[026] Batch [3149]/[3759] Speed: 64.561755 samples/sec accuracy=36.955357 loss=2.795377 lr=0.109926 Epoch[026] Batch [3199]/[3759] Speed: 64.869344 samples/sec accuracy=36.963379 loss=2.794969 lr=0.109925 Epoch[026] Batch [3249]/[3759] Speed: 64.610981 samples/sec accuracy=36.973077 loss=2.795130 lr=0.109924 Epoch[026] Batch [3299]/[3759] Speed: 64.444510 samples/sec accuracy=36.978220 loss=2.794777 lr=0.109924 Epoch[026] Batch [3349]/[3759] Speed: 64.746777 samples/sec accuracy=36.976213 loss=2.794403 lr=0.109923 Epoch[026] Batch [3399]/[3759] Speed: 64.582064 samples/sec accuracy=36.969669 loss=2.794775 lr=0.109922 Epoch[026] Batch [3449]/[3759] Speed: 64.471330 samples/sec accuracy=36.968297 loss=2.794529 lr=0.109922 Epoch[026] Batch [3499]/[3759] Speed: 64.543616 samples/sec accuracy=36.965179 loss=2.795452 lr=0.109921 Epoch[026] Batch [3549]/[3759] Speed: 64.689753 samples/sec accuracy=36.974472 loss=2.794329 lr=0.109920 Epoch[026] Batch [3599]/[3759] Speed: 64.229741 samples/sec accuracy=36.980035 loss=2.793848 lr=0.109920 Epoch[026] Batch [3649]/[3759] Speed: 64.420199 samples/sec accuracy=36.972175 loss=2.794270 lr=0.109919 Epoch[026] Batch [3699]/[3759] Speed: 64.257894 samples/sec accuracy=36.964949 loss=2.794600 lr=0.109918 Epoch[026] Batch [3749]/[3759] Speed: 68.586670 samples/sec accuracy=36.963750 loss=2.794743 lr=0.109917 Batch [0049]/[0303]: acc-top1=33.875000 acc-top5=61.281250 Batch [0099]/[0303]: acc-top1=33.593750 acc-top5=60.968750 Batch [0149]/[0303]: acc-top1=33.802083 acc-top5=60.916667 Batch [0199]/[0303]: acc-top1=33.656250 acc-top5=61.031250 Batch [0249]/[0303]: acc-top1=33.775000 acc-top5=61.287500 Batch [0299]/[0303]: acc-top1=33.677083 acc-top5=61.192708 [Epoch 026] training: accuracy=36.957136 loss=2.794718 [Epoch 026] speed: 64 samples/sec time cost: 4042.428939 [Epoch 026] validation: acc-top1=33.663366 acc-top5=61.215965 loss=3.338923 Epoch[027] Batch [0049]/[3760] Speed: 42.382840 samples/sec accuracy=37.312500 loss=2.713354 lr=0.109916 Epoch[027] Batch [0099]/[3760] Speed: 62.659435 samples/sec accuracy=37.781250 loss=2.705052 lr=0.109916 Epoch[027] Batch [0149]/[3760] Speed: 64.524236 samples/sec accuracy=37.572917 loss=2.722272 lr=0.109915 Epoch[027] Batch [0199]/[3760] Speed: 64.380500 samples/sec accuracy=37.117188 loss=2.739766 lr=0.109914 Epoch[027] Batch [0249]/[3760] Speed: 64.603418 samples/sec accuracy=36.900000 loss=2.755804 lr=0.109913 Epoch[027] Batch [0299]/[3760] Speed: 64.226410 samples/sec accuracy=37.072917 loss=2.752142 lr=0.109913 Epoch[027] Batch [0349]/[3760] Speed: 64.021618 samples/sec accuracy=37.200893 loss=2.752645 lr=0.109912 Epoch[027] Batch [0399]/[3760] Speed: 64.711212 samples/sec accuracy=37.222656 loss=2.754792 lr=0.109911 Epoch[027] Batch [0449]/[3760] Speed: 64.403039 samples/sec accuracy=37.204861 loss=2.762961 lr=0.109910 Epoch[027] Batch [0499]/[3760] Speed: 64.634342 samples/sec accuracy=37.190625 loss=2.767182 lr=0.109910 Epoch[027] Batch [0549]/[3760] Speed: 64.212145 samples/sec accuracy=37.156250 loss=2.769017 lr=0.109909 Epoch[027] Batch [0599]/[3760] Speed: 64.788700 samples/sec accuracy=37.182292 loss=2.765625 lr=0.109908 Epoch[027] Batch [0649]/[3760] Speed: 64.297061 samples/sec accuracy=37.168269 loss=2.767074 lr=0.109907 Epoch[027] Batch [0699]/[3760] Speed: 64.528502 samples/sec accuracy=37.189732 loss=2.766768 lr=0.109907 Epoch[027] Batch [0749]/[3760] Speed: 64.854955 samples/sec accuracy=37.139583 loss=2.770307 lr=0.109906 Epoch[027] Batch [0799]/[3760] Speed: 64.589587 samples/sec accuracy=37.076172 loss=2.772112 lr=0.109905 Epoch[027] Batch [0849]/[3760] Speed: 64.759758 samples/sec accuracy=37.053309 loss=2.774891 lr=0.109904 Epoch[027] Batch [0899]/[3760] Speed: 64.759854 samples/sec accuracy=37.038194 loss=2.775549 lr=0.109903 Epoch[027] Batch [0949]/[3760] Speed: 65.086548 samples/sec accuracy=36.998355 loss=2.776761 lr=0.109903 Epoch[027] Batch [0999]/[3760] Speed: 64.430282 samples/sec accuracy=37.087500 loss=2.773296 lr=0.109902 Epoch[027] Batch [1049]/[3760] Speed: 64.579778 samples/sec accuracy=37.153274 loss=2.771680 lr=0.109901 Epoch[027] Batch [1099]/[3760] Speed: 63.954629 samples/sec accuracy=37.190341 loss=2.772245 lr=0.109900 Epoch[027] Batch [1149]/[3760] Speed: 64.463573 samples/sec accuracy=37.145380 loss=2.773504 lr=0.109899 Epoch[027] Batch [1199]/[3760] Speed: 64.767010 samples/sec accuracy=37.132812 loss=2.774924 lr=0.109899 Epoch[027] Batch [1249]/[3760] Speed: 64.241595 samples/sec accuracy=37.116250 loss=2.776039 lr=0.109898 Epoch[027] Batch [1299]/[3760] Speed: 64.891889 samples/sec accuracy=37.195913 loss=2.773285 lr=0.109897 Epoch[027] Batch [1349]/[3760] Speed: 64.225823 samples/sec accuracy=37.175926 loss=2.772553 lr=0.109896 Epoch[027] Batch [1399]/[3760] Speed: 64.811878 samples/sec accuracy=37.183036 loss=2.771865 lr=0.109895 Epoch[027] Batch [1449]/[3760] Speed: 64.338615 samples/sec accuracy=37.164871 loss=2.773293 lr=0.109895 Epoch[027] Batch [1499]/[3760] Speed: 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lr=0.109886 Epoch[027] Batch [1999]/[3760] Speed: 64.338682 samples/sec accuracy=37.143750 loss=2.776650 lr=0.109885 Epoch[027] Batch [2049]/[3760] Speed: 64.867716 samples/sec accuracy=37.170732 loss=2.774714 lr=0.109884 Epoch[027] Batch [2099]/[3760] Speed: 64.772030 samples/sec accuracy=37.160714 loss=2.774917 lr=0.109884 Epoch[027] Batch [2149]/[3760] Speed: 64.685435 samples/sec accuracy=37.164244 loss=2.775067 lr=0.109883 Epoch[027] Batch [2199]/[3760] Speed: 64.500285 samples/sec accuracy=37.143466 loss=2.776218 lr=0.109882 Epoch[027] Batch [2249]/[3760] Speed: 64.400835 samples/sec accuracy=37.138194 loss=2.776680 lr=0.109881 Epoch[027] Batch [2299]/[3760] Speed: 64.515349 samples/sec accuracy=37.120924 loss=2.778017 lr=0.109880 Epoch[027] Batch [2349]/[3760] Speed: 64.187691 samples/sec accuracy=37.136303 loss=2.777510 lr=0.109879 Epoch[027] Batch [2399]/[3760] Speed: 64.588241 samples/sec accuracy=37.159505 loss=2.777075 lr=0.109878 Epoch[027] Batch [2449]/[3760] Speed: 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lr=0.109869 Epoch[027] Batch [2949]/[3760] Speed: 64.430802 samples/sec accuracy=37.193326 loss=2.777188 lr=0.109868 Epoch[027] Batch [2999]/[3760] Speed: 64.164367 samples/sec accuracy=37.218229 loss=2.776829 lr=0.109867 Epoch[027] Batch [3049]/[3760] Speed: 64.223164 samples/sec accuracy=37.243340 loss=2.775575 lr=0.109866 Epoch[027] Batch [3099]/[3760] Speed: 64.391212 samples/sec accuracy=37.242440 loss=2.776126 lr=0.109866 Epoch[027] Batch [3149]/[3760] Speed: 63.971602 samples/sec accuracy=37.243056 loss=2.776279 lr=0.109865 Epoch[027] Batch [3199]/[3760] Speed: 64.063731 samples/sec accuracy=37.215332 loss=2.776993 lr=0.109864 Epoch[027] Batch [3249]/[3760] Speed: 64.274962 samples/sec accuracy=37.202404 loss=2.777461 lr=0.109863 Epoch[027] Batch [3299]/[3760] Speed: 64.610024 samples/sec accuracy=37.195076 loss=2.777765 lr=0.109862 Epoch[027] Batch [3349]/[3760] Speed: 64.358889 samples/sec accuracy=37.193563 loss=2.777892 lr=0.109861 Epoch[027] Batch [3399]/[3760] Speed: 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acc-top1=37.359375 acc-top5=64.648438 Batch [0249]/[0303]: acc-top1=37.337500 acc-top5=64.950000 Batch [0299]/[0303]: acc-top1=37.390625 acc-top5=64.880208 [Epoch 027] training: accuracy=37.106051 loss=2.783538 [Epoch 027] speed: 64 samples/sec time cost: 4044.326677 [Epoch 027] validation: acc-top1=37.360767 acc-top5=64.866955 loss=3.079908 Epoch[028] Batch [0049]/[3760] Speed: 42.804004 samples/sec accuracy=38.437500 loss=2.728157 lr=0.109852 Epoch[028] Batch [0099]/[3760] Speed: 62.344196 samples/sec accuracy=38.171875 loss=2.725732 lr=0.109851 Epoch[028] Batch [0149]/[3760] Speed: 64.136863 samples/sec accuracy=38.083333 loss=2.724083 lr=0.109850 Epoch[028] Batch [0199]/[3760] Speed: 64.025779 samples/sec accuracy=38.242188 loss=2.713586 lr=0.109849 Epoch[028] Batch [0249]/[3760] Speed: 64.754459 samples/sec accuracy=38.568750 loss=2.710511 lr=0.109848 Epoch[028] Batch [0299]/[3760] Speed: 63.777886 samples/sec accuracy=38.567708 loss=2.709868 lr=0.109847 Epoch[028] Batch 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accuracy=38.007812 loss=2.731819 lr=0.109837 Epoch[028] Batch [0849]/[3760] Speed: 64.111178 samples/sec accuracy=38.027574 loss=2.733512 lr=0.109836 Epoch[028] Batch [0899]/[3760] Speed: 63.761512 samples/sec accuracy=38.071181 loss=2.731728 lr=0.109835 Epoch[028] Batch [0949]/[3760] Speed: 64.187495 samples/sec accuracy=37.973684 loss=2.734263 lr=0.109834 Epoch[028] Batch [0999]/[3760] Speed: 64.248207 samples/sec accuracy=37.940625 loss=2.732814 lr=0.109833 Epoch[028] Batch [1049]/[3760] Speed: 64.564293 samples/sec accuracy=38.014881 loss=2.729024 lr=0.109832 Epoch[028] Batch [1099]/[3760] Speed: 64.094753 samples/sec accuracy=37.980114 loss=2.731911 lr=0.109831 Epoch[028] Batch [1149]/[3760] Speed: 64.547704 samples/sec accuracy=37.980978 loss=2.734295 lr=0.109830 Epoch[028] Batch [1199]/[3760] Speed: 64.056607 samples/sec accuracy=37.960938 loss=2.734694 lr=0.109829 Epoch[028] Batch [1249]/[3760] Speed: 64.283397 samples/sec accuracy=37.948750 loss=2.736939 lr=0.109827 Epoch[028] Batch [1299]/[3760] Speed: 64.069168 samples/sec accuracy=37.926683 loss=2.736541 lr=0.109826 Epoch[028] Batch [1349]/[3760] Speed: 64.245740 samples/sec accuracy=37.856481 loss=2.740105 lr=0.109825 Epoch[028] Batch [1399]/[3760] Speed: 63.884937 samples/sec accuracy=37.858259 loss=2.740572 lr=0.109824 Epoch[028] Batch [1449]/[3760] Speed: 64.543128 samples/sec accuracy=37.857759 loss=2.742197 lr=0.109823 Epoch[028] Batch [1499]/[3760] Speed: 64.413862 samples/sec accuracy=37.787500 loss=2.746201 lr=0.109822 Epoch[028] Batch [1549]/[3760] Speed: 64.241420 samples/sec accuracy=37.765121 loss=2.746083 lr=0.109821 Epoch[028] Batch [1599]/[3760] Speed: 64.280624 samples/sec accuracy=37.752930 loss=2.747685 lr=0.109820 Epoch[028] Batch [1649]/[3760] Speed: 64.382305 samples/sec accuracy=37.709280 loss=2.749922 lr=0.109819 Epoch[028] Batch [1699]/[3760] Speed: 64.344253 samples/sec accuracy=37.720588 loss=2.750635 lr=0.109818 Epoch[028] Batch [1749]/[3760] Speed: 64.617872 samples/sec accuracy=37.688393 loss=2.752428 lr=0.109817 Epoch[028] Batch [1799]/[3760] Speed: 64.023807 samples/sec accuracy=37.647569 loss=2.755021 lr=0.109816 Epoch[028] Batch [1849]/[3760] Speed: 64.326642 samples/sec accuracy=37.603885 loss=2.756519 lr=0.109815 Epoch[028] Batch [1899]/[3760] Speed: 64.332074 samples/sec accuracy=37.618421 loss=2.755360 lr=0.109813 Epoch[028] Batch [1949]/[3760] Speed: 63.858089 samples/sec accuracy=37.618590 loss=2.754746 lr=0.109812 Epoch[028] Batch [1999]/[3760] Speed: 64.069055 samples/sec accuracy=37.608594 loss=2.754565 lr=0.109811 Epoch[028] Batch [2049]/[3760] Speed: 63.930518 samples/sec accuracy=37.589177 loss=2.755998 lr=0.109810 Epoch[028] Batch [2099]/[3760] Speed: 64.433082 samples/sec accuracy=37.584077 loss=2.755935 lr=0.109809 Epoch[028] Batch [2149]/[3760] Speed: 64.493230 samples/sec accuracy=37.583576 loss=2.756089 lr=0.109808 Epoch[028] Batch [2199]/[3760] Speed: 64.074098 samples/sec accuracy=37.594460 loss=2.756311 lr=0.109807 Epoch[028] Batch [2249]/[3760] Speed: 64.043978 samples/sec accuracy=37.560417 loss=2.757362 lr=0.109806 Epoch[028] Batch [2299]/[3760] Speed: 64.550598 samples/sec accuracy=37.574728 loss=2.756579 lr=0.109805 Epoch[028] Batch [2349]/[3760] Speed: 64.166776 samples/sec accuracy=37.533910 loss=2.758247 lr=0.109803 Epoch[028] Batch [2399]/[3760] Speed: 64.292143 samples/sec accuracy=37.479818 loss=2.759903 lr=0.109802 Epoch[028] Batch [2449]/[3760] Speed: 64.387848 samples/sec accuracy=37.473214 loss=2.760909 lr=0.109801 Epoch[028] Batch [2499]/[3760] Speed: 64.075762 samples/sec accuracy=37.503750 loss=2.760310 lr=0.109800 Epoch[028] Batch [2549]/[3760] Speed: 64.388941 samples/sec accuracy=37.496324 loss=2.761421 lr=0.109799 Epoch[028] Batch [2599]/[3760] Speed: 64.404463 samples/sec accuracy=37.483774 loss=2.762308 lr=0.109798 Epoch[028] Batch [2649]/[3760] Speed: 64.100917 samples/sec accuracy=37.461675 loss=2.763259 lr=0.109797 Epoch[028] Batch [2699]/[3760] Speed: 64.632487 samples/sec accuracy=37.456597 loss=2.763558 lr=0.109795 Epoch[028] Batch [2749]/[3760] Speed: 64.579047 samples/sec accuracy=37.438068 loss=2.765118 lr=0.109794 Epoch[028] Batch [2799]/[3760] Speed: 64.131044 samples/sec accuracy=37.435268 loss=2.765198 lr=0.109793 Epoch[028] Batch [2849]/[3760] Speed: 64.147960 samples/sec accuracy=37.438596 loss=2.765691 lr=0.109792 Epoch[028] Batch [2899]/[3760] Speed: 64.388913 samples/sec accuracy=37.429418 loss=2.766651 lr=0.109791 Epoch[028] Batch [2949]/[3760] Speed: 63.917840 samples/sec accuracy=37.431674 loss=2.766813 lr=0.109790 Epoch[028] Batch [2999]/[3760] Speed: 64.154051 samples/sec accuracy=37.417187 loss=2.766327 lr=0.109789 Epoch[028] Batch [3049]/[3760] Speed: 63.924355 samples/sec accuracy=37.426742 loss=2.766360 lr=0.109787 Epoch[028] Batch [3099]/[3760] Speed: 64.545960 samples/sec accuracy=37.439012 loss=2.766457 lr=0.109786 Epoch[028] Batch [3149]/[3760] Speed: 64.593820 samples/sec accuracy=37.440972 loss=2.766767 lr=0.109785 Epoch[028] Batch [3199]/[3760] Speed: 63.922996 samples/sec accuracy=37.435059 loss=2.767250 lr=0.109784 Epoch[028] Batch [3249]/[3760] Speed: 64.263964 samples/sec accuracy=37.432212 loss=2.768306 lr=0.109783 Epoch[028] Batch [3299]/[3760] Speed: 64.175513 samples/sec accuracy=37.433239 loss=2.768353 lr=0.109781 Epoch[028] Batch [3349]/[3760] Speed: 64.601708 samples/sec accuracy=37.425373 loss=2.769227 lr=0.109780 Epoch[028] Batch [3399]/[3760] Speed: 64.023451 samples/sec accuracy=37.402114 loss=2.770127 lr=0.109779 Epoch[028] Batch [3449]/[3760] Speed: 64.325635 samples/sec accuracy=37.397192 loss=2.770540 lr=0.109778 Epoch[028] Batch [3499]/[3760] Speed: 64.448742 samples/sec accuracy=37.389732 loss=2.771132 lr=0.109777 Epoch[028] Batch [3549]/[3760] Speed: 64.410541 samples/sec accuracy=37.405810 loss=2.771694 lr=0.109775 Epoch[028] Batch [3599]/[3760] Speed: 63.833001 samples/sec accuracy=37.388021 loss=2.772288 lr=0.109774 Epoch[028] Batch [3649]/[3760] Speed: 64.281354 samples/sec accuracy=37.389127 loss=2.772251 lr=0.109773 Epoch[028] Batch [3699]/[3760] Speed: 64.602250 samples/sec accuracy=37.393159 loss=2.771378 lr=0.109772 Epoch[028] Batch [3749]/[3760] Speed: 67.033735 samples/sec accuracy=37.383333 loss=2.771522 lr=0.109771 Batch [0049]/[0303]: acc-top1=36.468750 acc-top5=63.531250 Batch [0099]/[0303]: acc-top1=36.640625 acc-top5=63.500000 Batch [0149]/[0303]: acc-top1=36.562500 acc-top5=63.593750 Batch [0199]/[0303]: acc-top1=36.828125 acc-top5=63.718750 Batch [0249]/[0303]: acc-top1=36.875000 acc-top5=64.081250 Batch [0299]/[0303]: acc-top1=37.036458 acc-top5=64.083333 [Epoch 028] training: accuracy=37.372424 loss=2.771581 [Epoch 028] speed: 63 samples/sec time cost: 4056.026852 [Epoch 028] validation: acc-top1=37.077145 acc-top5=64.072814 loss=3.035351 Epoch[029] Batch [0049]/[3759] Speed: 41.758161 samples/sec accuracy=37.875000 loss=2.727250 lr=0.109769 Epoch[029] Batch [0099]/[3759] Speed: 62.864673 samples/sec accuracy=38.531250 loss=2.736242 lr=0.109768 Epoch[029] Batch [0149]/[3759] Speed: 64.046992 samples/sec accuracy=38.177083 loss=2.723659 lr=0.109767 Epoch[029] Batch [0199]/[3759] Speed: 63.357119 samples/sec accuracy=37.921875 loss=2.729724 lr=0.109765 Epoch[029] Batch [0249]/[3759] Speed: 64.885310 samples/sec accuracy=37.787500 loss=2.730403 lr=0.109764 Epoch[029] Batch [0299]/[3759] Speed: 63.741428 samples/sec accuracy=37.723958 loss=2.724766 lr=0.109763 Epoch[029] Batch [0349]/[3759] Speed: 64.534038 samples/sec accuracy=37.642857 loss=2.734405 lr=0.109762 Epoch[029] Batch [0399]/[3759] Speed: 63.956701 samples/sec accuracy=37.695312 loss=2.733603 lr=0.109760 Epoch[029] Batch [0449]/[3759] Speed: 64.566950 samples/sec accuracy=37.638889 loss=2.739068 lr=0.109759 Epoch[029] Batch [0499]/[3759] Speed: 64.410443 samples/sec accuracy=37.775000 loss=2.735164 lr=0.109758 Epoch[029] Batch [0549]/[3759] Speed: 64.032296 samples/sec accuracy=37.809659 loss=2.735675 lr=0.109757 Epoch[029] Batch [0599]/[3759] Speed: 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lr=0.109744 Epoch[029] Batch [1099]/[3759] Speed: 64.581685 samples/sec accuracy=37.762784 loss=2.743955 lr=0.109743 Epoch[029] Batch [1149]/[3759] Speed: 64.222049 samples/sec accuracy=37.775815 loss=2.742938 lr=0.109741 Epoch[029] Batch [1199]/[3759] Speed: 64.166579 samples/sec accuracy=37.757812 loss=2.743918 lr=0.109740 Epoch[029] Batch [1249]/[3759] Speed: 64.290476 samples/sec accuracy=37.706250 loss=2.746441 lr=0.109739 Epoch[029] Batch [1299]/[3759] Speed: 64.816532 samples/sec accuracy=37.645433 loss=2.750152 lr=0.109738 Epoch[029] Batch [1349]/[3759] Speed: 64.296234 samples/sec accuracy=37.685185 loss=2.748207 lr=0.109736 Epoch[029] Batch [1399]/[3759] Speed: 64.200544 samples/sec accuracy=37.707589 loss=2.746696 lr=0.109735 Epoch[029] Batch [1449]/[3759] Speed: 64.551929 samples/sec accuracy=37.689655 loss=2.748311 lr=0.109734 Epoch[029] Batch [1499]/[3759] Speed: 64.202030 samples/sec accuracy=37.717708 loss=2.748375 lr=0.109732 Epoch[029] Batch [1549]/[3759] Speed: 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lr=0.109693 Epoch[029] Batch [2999]/[3759] Speed: 64.723576 samples/sec accuracy=37.692188 loss=2.757989 lr=0.109691 Epoch[029] Batch [3049]/[3759] Speed: 64.278323 samples/sec accuracy=37.677254 loss=2.758342 lr=0.109690 Epoch[029] Batch [3099]/[3759] Speed: 64.254668 samples/sec accuracy=37.651714 loss=2.759365 lr=0.109688 Epoch[029] Batch [3149]/[3759] Speed: 64.654872 samples/sec accuracy=37.646825 loss=2.758888 lr=0.109687 Epoch[029] Batch [3199]/[3759] Speed: 64.212631 samples/sec accuracy=37.625000 loss=2.759192 lr=0.109686 Epoch[029] Batch [3249]/[3759] Speed: 64.539119 samples/sec accuracy=37.646635 loss=2.759295 lr=0.109684 Epoch[029] Batch [3299]/[3759] Speed: 63.489175 samples/sec accuracy=37.649148 loss=2.758335 lr=0.109683 Epoch[029] Batch [3349]/[3759] Speed: 64.817147 samples/sec accuracy=37.630131 loss=2.759338 lr=0.109681 Epoch[029] Batch [3399]/[3759] Speed: 64.067687 samples/sec accuracy=37.628676 loss=2.760106 lr=0.109680 Epoch[029] Batch [3449]/[3759] Speed: 64.153041 samples/sec accuracy=37.616848 loss=2.760812 lr=0.109678 Epoch[029] Batch [3499]/[3759] Speed: 64.577809 samples/sec accuracy=37.609821 loss=2.760947 lr=0.109677 Epoch[029] Batch [3549]/[3759] Speed: 63.975374 samples/sec accuracy=37.604313 loss=2.761246 lr=0.109676 Epoch[029] Batch [3599]/[3759] Speed: 64.105104 samples/sec accuracy=37.606771 loss=2.761071 lr=0.109674 Epoch[029] Batch [3649]/[3759] Speed: 64.540257 samples/sec accuracy=37.598887 loss=2.761044 lr=0.109673 Epoch[029] Batch [3699]/[3759] Speed: 64.238985 samples/sec accuracy=37.599240 loss=2.761665 lr=0.109671 Epoch[029] Batch [3749]/[3759] Speed: 68.310942 samples/sec accuracy=37.582917 loss=2.762557 lr=0.109670 Batch [0049]/[0303]: acc-top1=35.500000 acc-top5=63.125000 Batch [0099]/[0303]: acc-top1=35.703125 acc-top5=63.218750 Batch [0149]/[0303]: acc-top1=35.687500 acc-top5=63.208333 Batch [0199]/[0303]: acc-top1=35.687500 acc-top5=63.046875 Batch [0249]/[0303]: acc-top1=35.806250 acc-top5=63.062500 Batch [0299]/[0303]: acc-top1=35.869792 acc-top5=63.140625 [Epoch 029] training: accuracy=37.586459 loss=2.762381 [Epoch 029] speed: 63 samples/sec time cost: 4049.758812 [Epoch 029] validation: acc-top1=35.875619 acc-top5=63.144596 loss=3.047096 Epoch[030] Batch [0049]/[3760] Speed: 42.563550 samples/sec accuracy=37.968750 loss=2.757213 lr=0.109668 Epoch[030] Batch [0099]/[3760] Speed: 62.414955 samples/sec accuracy=39.218750 loss=2.714517 lr=0.109667 Epoch[030] Batch [0149]/[3760] Speed: 64.461474 samples/sec accuracy=38.729167 loss=2.726088 lr=0.109665 Epoch[030] Batch [0199]/[3760] Speed: 64.175025 samples/sec accuracy=38.695312 loss=2.724510 lr=0.109664 Epoch[030] Batch [0249]/[3760] Speed: 64.031859 samples/sec accuracy=38.293750 loss=2.739012 lr=0.109662 Epoch[030] Batch [0299]/[3760] Speed: 64.062005 samples/sec accuracy=38.557292 loss=2.720615 lr=0.109661 Epoch[030] Batch [0349]/[3760] Speed: 64.051758 samples/sec accuracy=38.361607 loss=2.727475 lr=0.109659 Epoch[030] Batch 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accuracy=38.314338 loss=2.725790 lr=0.109644 Epoch[030] Batch [0899]/[3760] Speed: 64.625335 samples/sec accuracy=38.309028 loss=2.726286 lr=0.109643 Epoch[030] Batch [0949]/[3760] Speed: 64.047084 samples/sec accuracy=38.310855 loss=2.725419 lr=0.109641 Epoch[030] Batch [0999]/[3760] Speed: 64.501815 samples/sec accuracy=38.315625 loss=2.723629 lr=0.109640 Epoch[030] Batch [1049]/[3760] Speed: 64.281105 samples/sec accuracy=38.306548 loss=2.723512 lr=0.109638 Epoch[030] Batch [1099]/[3760] Speed: 64.379265 samples/sec accuracy=38.284091 loss=2.725137 lr=0.109637 Epoch[030] Batch [1149]/[3760] Speed: 64.490250 samples/sec accuracy=38.241848 loss=2.726608 lr=0.109635 Epoch[030] Batch [1199]/[3760] Speed: 64.175924 samples/sec accuracy=38.109375 loss=2.731277 lr=0.109633 Epoch[030] Batch [1249]/[3760] Speed: 64.031152 samples/sec accuracy=38.096250 loss=2.731095 lr=0.109632 Epoch[030] Batch [1299]/[3760] Speed: 64.567310 samples/sec accuracy=38.103365 loss=2.731179 lr=0.109630 Epoch[030] Batch [1349]/[3760] Speed: 64.558349 samples/sec accuracy=38.057870 loss=2.736297 lr=0.109629 Epoch[030] Batch [1399]/[3760] Speed: 63.961903 samples/sec accuracy=38.021205 loss=2.738333 lr=0.109627 Epoch[030] Batch [1449]/[3760] Speed: 64.454998 samples/sec accuracy=38.006466 loss=2.737633 lr=0.109626 Epoch[030] Batch [1499]/[3760] Speed: 64.022246 samples/sec accuracy=38.017708 loss=2.736052 lr=0.109624 Epoch[030] Batch [1549]/[3760] Speed: 63.637804 samples/sec accuracy=37.967742 loss=2.737396 lr=0.109623 Epoch[030] Batch [1599]/[3760] Speed: 64.704808 samples/sec accuracy=37.938477 loss=2.738517 lr=0.109621 Epoch[030] Batch [1649]/[3760] Speed: 64.192455 samples/sec accuracy=37.911932 loss=2.738339 lr=0.109619 Epoch[030] Batch [1699]/[3760] Speed: 64.487904 samples/sec accuracy=37.902574 loss=2.738802 lr=0.109618 Epoch[030] Batch [1749]/[3760] Speed: 64.330196 samples/sec accuracy=37.912500 loss=2.738763 lr=0.109616 Epoch[030] Batch [1799]/[3760] Speed: 64.530129 samples/sec accuracy=37.927083 loss=2.738852 lr=0.109615 Epoch[030] Batch [1849]/[3760] Speed: 64.343103 samples/sec accuracy=37.905405 loss=2.741334 lr=0.109613 Epoch[030] Batch [1899]/[3760] Speed: 64.572260 samples/sec accuracy=37.920230 loss=2.741081 lr=0.109612 Epoch[030] Batch [1949]/[3760] Speed: 64.372709 samples/sec accuracy=37.890224 loss=2.743922 lr=0.109610 Epoch[030] Batch [1999]/[3760] Speed: 64.056191 samples/sec accuracy=37.874219 loss=2.744746 lr=0.109608 Epoch[030] Batch [2049]/[3760] Speed: 64.290599 samples/sec accuracy=37.868902 loss=2.744666 lr=0.109607 Epoch[030] Batch [2099]/[3760] Speed: 64.427502 samples/sec accuracy=37.903274 loss=2.742909 lr=0.109605 Epoch[030] Batch [2149]/[3760] Speed: 64.288127 samples/sec accuracy=37.871366 loss=2.744353 lr=0.109604 Epoch[030] Batch [2199]/[3760] Speed: 64.514990 samples/sec accuracy=37.872869 loss=2.744869 lr=0.109602 Epoch[030] Batch [2249]/[3760] Speed: 64.615435 samples/sec accuracy=37.860417 loss=2.744843 lr=0.109600 Epoch[030] 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accuracy=37.778977 loss=2.751612 lr=0.109584 Epoch[030] Batch [2799]/[3760] Speed: 64.626848 samples/sec accuracy=37.779576 loss=2.751681 lr=0.109583 Epoch[030] Batch [2849]/[3760] Speed: 64.226637 samples/sec accuracy=37.787281 loss=2.751827 lr=0.109581 Epoch[030] Batch [2899]/[3760] Speed: 64.538301 samples/sec accuracy=37.758621 loss=2.752652 lr=0.109579 Epoch[030] Batch [2949]/[3760] Speed: 64.601099 samples/sec accuracy=37.748941 loss=2.754026 lr=0.109578 Epoch[030] Batch [2999]/[3760] Speed: 63.835941 samples/sec accuracy=37.727604 loss=2.753854 lr=0.109576 Epoch[030] Batch [3049]/[3760] Speed: 63.798428 samples/sec accuracy=37.727971 loss=2.753384 lr=0.109574 Epoch[030] Batch [3099]/[3760] Speed: 64.950897 samples/sec accuracy=37.717742 loss=2.753939 lr=0.109573 Epoch[030] Batch [3149]/[3760] Speed: 63.976662 samples/sec accuracy=37.702877 loss=2.755082 lr=0.109571 Epoch[030] Batch [3199]/[3760] Speed: 63.924712 samples/sec accuracy=37.693359 loss=2.755613 lr=0.109569 Epoch[030] Batch [3249]/[3760] Speed: 64.122626 samples/sec accuracy=37.661058 loss=2.756074 lr=0.109568 Epoch[030] Batch [3299]/[3760] Speed: 64.423223 samples/sec accuracy=37.660985 loss=2.756527 lr=0.109566 Epoch[030] Batch [3349]/[3760] Speed: 64.426566 samples/sec accuracy=37.664179 loss=2.756434 lr=0.109564 Epoch[030] Batch [3399]/[3760] Speed: 64.737871 samples/sec accuracy=37.655790 loss=2.757205 lr=0.109563 Epoch[030] Batch [3449]/[3760] Speed: 64.675802 samples/sec accuracy=37.643569 loss=2.757913 lr=0.109561 Epoch[030] Batch [3499]/[3760] Speed: 64.045416 samples/sec accuracy=37.645089 loss=2.757916 lr=0.109559 Epoch[030] Batch [3549]/[3760] Speed: 64.186410 samples/sec accuracy=37.647447 loss=2.758100 lr=0.109558 Epoch[030] Batch [3599]/[3760] Speed: 64.139204 samples/sec accuracy=37.634115 loss=2.758460 lr=0.109556 Epoch[030] Batch [3649]/[3760] Speed: 64.060467 samples/sec accuracy=37.630137 loss=2.758495 lr=0.109554 Epoch[030] Batch [3699]/[3760] Speed: 64.661738 samples/sec accuracy=37.637669 loss=2.758357 lr=0.109552 Epoch[030] Batch [3749]/[3760] Speed: 67.617124 samples/sec accuracy=37.644167 loss=2.758897 lr=0.109551 Batch [0049]/[0303]: acc-top1=38.500000 acc-top5=64.968750 Batch [0099]/[0303]: acc-top1=38.765625 acc-top5=65.265625 Batch [0149]/[0303]: acc-top1=38.604167 acc-top5=65.020833 Batch [0199]/[0303]: acc-top1=38.570312 acc-top5=65.046875 Batch [0249]/[0303]: acc-top1=38.768750 acc-top5=65.400000 Batch [0299]/[0303]: acc-top1=38.828125 acc-top5=65.427083 [Epoch 030] training: accuracy=37.647523 loss=2.758952 [Epoch 030] speed: 63 samples/sec time cost: 4054.283185 [Epoch 030] validation: acc-top1=38.882013 acc-top5=65.418729 loss=2.954142 Epoch[031] Batch [0049]/[3760] Speed: 42.706144 samples/sec accuracy=37.843750 loss=2.757492 lr=0.109549 Epoch[031] Batch [0099]/[3760] Speed: 62.981211 samples/sec accuracy=38.234375 loss=2.744946 lr=0.109547 Epoch[031] Batch [0149]/[3760] Speed: 63.949574 samples/sec accuracy=38.145833 loss=2.749197 lr=0.109545 Epoch[031] Batch [0199]/[3760] Speed: 63.972592 samples/sec accuracy=38.226562 loss=2.739540 lr=0.109544 Epoch[031] Batch [0249]/[3760] Speed: 64.489320 samples/sec accuracy=38.512500 loss=2.719510 lr=0.109542 Epoch[031] Batch [0299]/[3760] Speed: 64.258612 samples/sec accuracy=38.218750 loss=2.729545 lr=0.109540 Epoch[031] Batch [0349]/[3760] Speed: 64.506944 samples/sec accuracy=38.183036 loss=2.727000 lr=0.109538 Epoch[031] Batch [0399]/[3760] Speed: 64.529763 samples/sec accuracy=38.351562 loss=2.721696 lr=0.109537 Epoch[031] Batch [0449]/[3760] Speed: 64.380821 samples/sec accuracy=38.250000 loss=2.726890 lr=0.109535 Epoch[031] Batch [0499]/[3760] Speed: 64.625050 samples/sec accuracy=38.196875 loss=2.732002 lr=0.109533 Epoch[031] Batch [0549]/[3760] Speed: 64.566928 samples/sec accuracy=38.281250 loss=2.729559 lr=0.109531 Epoch[031] Batch [0599]/[3760] Speed: 64.203379 samples/sec accuracy=38.244792 loss=2.729068 lr=0.109530 Epoch[031] Batch [0649]/[3760] Speed: 64.138514 samples/sec accuracy=38.237981 loss=2.727740 lr=0.109528 Epoch[031] Batch [0699]/[3760] Speed: 64.295965 samples/sec accuracy=38.156250 loss=2.726595 lr=0.109526 Epoch[031] Batch [0749]/[3760] Speed: 64.375802 samples/sec accuracy=38.193750 loss=2.723466 lr=0.109524 Epoch[031] Batch [0799]/[3760] Speed: 64.010664 samples/sec accuracy=38.189453 loss=2.723052 lr=0.109523 Epoch[031] Batch [0849]/[3760] Speed: 64.174177 samples/sec accuracy=38.095588 loss=2.727544 lr=0.109521 Epoch[031] Batch [0899]/[3760] Speed: 64.698123 samples/sec accuracy=38.105903 loss=2.727108 lr=0.109519 Epoch[031] Batch [0949]/[3760] Speed: 64.535755 samples/sec accuracy=38.014803 loss=2.728770 lr=0.109517 Epoch[031] Batch [0999]/[3760] Speed: 64.213906 samples/sec accuracy=38.087500 loss=2.725507 lr=0.109516 Epoch[031] Batch [1049]/[3760] Speed: 64.394969 samples/sec accuracy=38.046131 loss=2.730344 lr=0.109514 Epoch[031] Batch [1099]/[3760] Speed: 64.672793 samples/sec accuracy=38.029830 loss=2.732230 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lr=0.109442 Epoch[031] Batch [3049]/[3760] Speed: 63.975380 samples/sec accuracy=37.937500 loss=2.745396 lr=0.109440 Epoch[031] Batch [3099]/[3760] Speed: 63.971252 samples/sec accuracy=37.945060 loss=2.745320 lr=0.109438 Epoch[031] Batch [3149]/[3760] Speed: 64.149328 samples/sec accuracy=37.944444 loss=2.745310 lr=0.109437 Epoch[031] Batch [3199]/[3760] Speed: 63.939747 samples/sec accuracy=37.932617 loss=2.746111 lr=0.109435 Epoch[031] Batch [3249]/[3760] Speed: 64.575292 samples/sec accuracy=37.953846 loss=2.745274 lr=0.109433 Epoch[031] Batch [3299]/[3760] Speed: 63.725461 samples/sec accuracy=37.989110 loss=2.744688 lr=0.109431 Epoch[031] Batch [3349]/[3760] Speed: 64.201998 samples/sec accuracy=37.979944 loss=2.745027 lr=0.109429 Epoch[031] Batch [3399]/[3760] Speed: 63.804305 samples/sec accuracy=37.979779 loss=2.744853 lr=0.109427 Epoch[031] Batch [3449]/[3760] Speed: 64.073586 samples/sec accuracy=37.972826 loss=2.745667 lr=0.109425 Epoch[031] Batch [3499]/[3760] Speed: 64.309462 samples/sec accuracy=37.970089 loss=2.745326 lr=0.109423 Epoch[031] Batch [3549]/[3760] Speed: 64.402224 samples/sec accuracy=37.965669 loss=2.745156 lr=0.109421 Epoch[031] Batch [3599]/[3760] Speed: 64.265037 samples/sec accuracy=37.947917 loss=2.745571 lr=0.109419 Epoch[031] Batch [3649]/[3760] Speed: 63.782722 samples/sec accuracy=37.938356 loss=2.746473 lr=0.109417 Epoch[031] Batch [3699]/[3760] Speed: 64.473434 samples/sec accuracy=37.959459 loss=2.745475 lr=0.109415 Epoch[031] Batch [3749]/[3760] Speed: 67.980709 samples/sec accuracy=37.938750 loss=2.746608 lr=0.109413 Batch [0049]/[0303]: acc-top1=37.312500 acc-top5=64.781250 Batch [0099]/[0303]: acc-top1=36.250000 acc-top5=64.000000 Batch [0149]/[0303]: acc-top1=36.072917 acc-top5=63.781250 Batch [0199]/[0303]: acc-top1=36.007812 acc-top5=63.921875 Batch [0249]/[0303]: acc-top1=36.156250 acc-top5=64.281250 Batch [0299]/[0303]: acc-top1=36.437500 acc-top5=64.375000 [Epoch 031] training: accuracy=37.937999 loss=2.746423 [Epoch 031] speed: 63 samples/sec time cost: 4053.153517 [Epoch 031] validation: acc-top1=36.473804 acc-top5=64.408003 loss=3.044695 Epoch[032] Batch [0049]/[3759] Speed: 42.872240 samples/sec accuracy=38.812500 loss=2.727768 lr=0.109411 Epoch[032] Batch [0099]/[3759] Speed: 62.588593 samples/sec accuracy=39.125000 loss=2.697492 lr=0.109409 Epoch[032] Batch [0149]/[3759] Speed: 64.136638 samples/sec accuracy=38.468750 loss=2.696091 lr=0.109407 Epoch[032] Batch [0199]/[3759] Speed: 63.677647 samples/sec accuracy=37.898438 loss=2.719373 lr=0.109405 Epoch[032] Batch [0249]/[3759] Speed: 64.533346 samples/sec accuracy=37.731250 loss=2.722956 lr=0.109403 Epoch[032] Batch [0299]/[3759] Speed: 64.523833 samples/sec accuracy=37.963542 loss=2.722403 lr=0.109401 Epoch[032] Batch [0349]/[3759] Speed: 64.510516 samples/sec accuracy=38.026786 loss=2.720467 lr=0.109399 Epoch[032] Batch [0399]/[3759] Speed: 64.336439 samples/sec accuracy=38.113281 loss=2.719532 lr=0.109397 Epoch[032] Batch 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accuracy=38.067708 loss=2.731368 lr=0.109378 Epoch[032] Batch [0949]/[3759] Speed: 64.674557 samples/sec accuracy=38.064145 loss=2.732072 lr=0.109375 Epoch[032] Batch [0999]/[3759] Speed: 64.353766 samples/sec accuracy=38.032812 loss=2.734134 lr=0.109373 Epoch[032] Batch [1049]/[3759] Speed: 64.113728 samples/sec accuracy=38.077381 loss=2.733230 lr=0.109371 Epoch[032] Batch [1099]/[3759] Speed: 64.067882 samples/sec accuracy=38.109375 loss=2.732262 lr=0.109369 Epoch[032] Batch [1149]/[3759] Speed: 64.822272 samples/sec accuracy=38.123641 loss=2.732677 lr=0.109367 Epoch[032] Batch [1199]/[3759] Speed: 64.123842 samples/sec accuracy=38.101562 loss=2.732737 lr=0.109365 Epoch[032] Batch [1249]/[3759] Speed: 64.120501 samples/sec accuracy=38.112500 loss=2.730758 lr=0.109363 Epoch[032] Batch [1299]/[3759] Speed: 64.014930 samples/sec accuracy=38.103365 loss=2.731408 lr=0.109361 Epoch[032] Batch [1349]/[3759] Speed: 64.691032 samples/sec accuracy=38.131944 loss=2.731035 lr=0.109359 Epoch[032] Batch [1399]/[3759] Speed: 64.308203 samples/sec accuracy=38.149554 loss=2.732026 lr=0.109357 Epoch[032] Batch [1449]/[3759] Speed: 64.498472 samples/sec accuracy=38.118534 loss=2.730745 lr=0.109355 Epoch[032] Batch [1499]/[3759] Speed: 63.966782 samples/sec accuracy=38.136458 loss=2.728942 lr=0.109353 Epoch[032] Batch [1549]/[3759] Speed: 64.269797 samples/sec accuracy=38.092742 loss=2.730764 lr=0.109351 Epoch[032] Batch [1599]/[3759] Speed: 64.436996 samples/sec accuracy=38.092773 loss=2.732336 lr=0.109349 Epoch[032] Batch [1649]/[3759] Speed: 64.473087 samples/sec accuracy=38.094697 loss=2.731438 lr=0.109347 Epoch[032] Batch [1699]/[3759] Speed: 64.272576 samples/sec accuracy=38.096507 loss=2.730965 lr=0.109345 Epoch[032] Batch [1749]/[3759] Speed: 64.148809 samples/sec accuracy=38.089286 loss=2.732508 lr=0.109343 Epoch[032] Batch [1799]/[3759] Speed: 64.218779 samples/sec accuracy=38.099826 loss=2.733356 lr=0.109341 Epoch[032] Batch [1849]/[3759] Speed: 64.100174 samples/sec accuracy=38.087838 loss=2.733928 lr=0.109339 Epoch[032] Batch [1899]/[3759] Speed: 64.245269 samples/sec accuracy=38.065789 loss=2.733735 lr=0.109337 Epoch[032] Batch [1949]/[3759] Speed: 64.061355 samples/sec accuracy=38.064103 loss=2.734014 lr=0.109335 Epoch[032] Batch [1999]/[3759] Speed: 64.403992 samples/sec accuracy=38.065625 loss=2.733660 lr=0.109333 Epoch[032] Batch [2049]/[3759] Speed: 64.113563 samples/sec accuracy=38.083079 loss=2.734839 lr=0.109331 Epoch[032] Batch [2099]/[3759] Speed: 64.187639 samples/sec accuracy=38.066220 loss=2.735805 lr=0.109328 Epoch[032] Batch [2149]/[3759] Speed: 64.383266 samples/sec accuracy=38.078488 loss=2.734734 lr=0.109326 Epoch[032] Batch [2199]/[3759] Speed: 64.023019 samples/sec accuracy=38.077415 loss=2.735355 lr=0.109324 Epoch[032] Batch [2249]/[3759] Speed: 64.683485 samples/sec accuracy=38.081944 loss=2.735607 lr=0.109322 Epoch[032] Batch [2299]/[3759] Speed: 64.104866 samples/sec accuracy=38.039402 loss=2.736955 lr=0.109320 Epoch[032] Batch [2349]/[3759] Speed: 64.300094 samples/sec accuracy=38.037899 loss=2.737178 lr=0.109318 Epoch[032] Batch [2399]/[3759] Speed: 64.719445 samples/sec accuracy=38.002604 loss=2.739048 lr=0.109316 Epoch[032] Batch [2449]/[3759] Speed: 64.175016 samples/sec accuracy=38.039541 loss=2.738000 lr=0.109314 Epoch[032] Batch [2499]/[3759] Speed: 64.528823 samples/sec accuracy=38.048125 loss=2.737347 lr=0.109312 Epoch[032] Batch [2549]/[3759] Speed: 64.106762 samples/sec accuracy=38.073529 loss=2.738317 lr=0.109310 Epoch[032] Batch [2599]/[3759] Speed: 64.585897 samples/sec accuracy=38.072115 loss=2.739072 lr=0.109307 Epoch[032] Batch [2649]/[3759] Speed: 64.393549 samples/sec accuracy=38.092571 loss=2.738610 lr=0.109305 Epoch[032] Batch [2699]/[3759] Speed: 64.080625 samples/sec accuracy=38.102431 loss=2.738313 lr=0.109303 Epoch[032] Batch [2749]/[3759] Speed: 63.902049 samples/sec accuracy=38.100568 loss=2.739036 lr=0.109301 Epoch[032] Batch [2799]/[3759] Speed: 64.488749 samples/sec accuracy=38.110491 loss=2.738389 lr=0.109299 Epoch[032] Batch [2849]/[3759] Speed: 64.808614 samples/sec accuracy=38.132127 loss=2.738423 lr=0.109297 Epoch[032] Batch [2899]/[3759] Speed: 64.451017 samples/sec accuracy=38.126616 loss=2.738851 lr=0.109295 Epoch[032] Batch [2949]/[3759] Speed: 64.368126 samples/sec accuracy=38.110169 loss=2.739925 lr=0.109293 Epoch[032] Batch [2999]/[3759] Speed: 64.618702 samples/sec accuracy=38.093229 loss=2.740952 lr=0.109290 Epoch[032] Batch [3049]/[3759] Speed: 64.704962 samples/sec accuracy=38.084529 loss=2.740743 lr=0.109288 Epoch[032] Batch [3099]/[3759] Speed: 64.508555 samples/sec accuracy=38.083165 loss=2.741029 lr=0.109286 Epoch[032] Batch [3149]/[3759] Speed: 64.312456 samples/sec accuracy=38.097718 loss=2.740949 lr=0.109284 Epoch[032] Batch [3199]/[3759] Speed: 64.456678 samples/sec accuracy=38.101562 loss=2.740544 lr=0.109282 Epoch[032] Batch [3249]/[3759] Speed: 64.252560 samples/sec accuracy=38.083654 loss=2.741075 lr=0.109280 Epoch[032] Batch [3299]/[3759] Speed: 64.604058 samples/sec accuracy=38.075284 loss=2.741414 lr=0.109278 Epoch[032] Batch [3349]/[3759] Speed: 64.123098 samples/sec accuracy=38.052239 loss=2.742129 lr=0.109275 Epoch[032] Batch [3399]/[3759] Speed: 64.158978 samples/sec accuracy=38.043658 loss=2.742383 lr=0.109273 Epoch[032] Batch [3449]/[3759] Speed: 64.471965 samples/sec accuracy=38.030344 loss=2.742838 lr=0.109271 Epoch[032] Batch [3499]/[3759] Speed: 64.738526 samples/sec accuracy=38.037500 loss=2.743054 lr=0.109269 Epoch[032] Batch [3549]/[3759] Speed: 64.290449 samples/sec accuracy=38.029489 loss=2.743631 lr=0.109267 Epoch[032] Batch [3599]/[3759] Speed: 63.797504 samples/sec accuracy=38.038194 loss=2.743195 lr=0.109265 Epoch[032] Batch [3649]/[3759] Speed: 64.525343 samples/sec accuracy=38.040668 loss=2.743064 lr=0.109262 Epoch[032] Batch [3699]/[3759] Speed: 64.003159 samples/sec accuracy=38.024916 loss=2.743461 lr=0.109260 Epoch[032] Batch [3749]/[3759] Speed: 68.266707 samples/sec accuracy=38.002917 loss=2.744375 lr=0.109258 Batch [0049]/[0303]: acc-top1=38.375000 acc-top5=64.968750 Batch [0099]/[0303]: acc-top1=37.906250 acc-top5=64.765625 Batch [0149]/[0303]: acc-top1=38.145833 acc-top5=64.947917 Batch [0199]/[0303]: acc-top1=38.054688 acc-top5=65.250000 Batch [0249]/[0303]: acc-top1=38.187500 acc-top5=65.543750 Batch [0299]/[0303]: acc-top1=38.156250 acc-top5=65.453125 [Epoch 032] training: accuracy=38.007532 loss=2.744199 [Epoch 032] speed: 63 samples/sec time cost: 4049.759508 [Epoch 032] validation: acc-top1=38.191007 acc-top5=65.434200 loss=2.886374 Epoch[033] Batch [0049]/[3760] Speed: 42.692011 samples/sec accuracy=37.062500 loss=2.776016 lr=0.109255 Epoch[033] Batch [0099]/[3760] Speed: 61.823923 samples/sec accuracy=38.375000 loss=2.724017 lr=0.109253 Epoch[033] Batch [0149]/[3760] Speed: 64.447493 samples/sec accuracy=38.739583 loss=2.705677 lr=0.109251 Epoch[033] Batch [0199]/[3760] Speed: 64.099168 samples/sec accuracy=38.796875 loss=2.699511 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lr=0.109118 Epoch[033] Batch [3099]/[3760] Speed: 64.583357 samples/sec accuracy=38.400706 loss=2.726465 lr=0.109116 Epoch[033] Batch [3149]/[3760] Speed: 63.850076 samples/sec accuracy=38.399306 loss=2.726642 lr=0.109113 Epoch[033] Batch [3199]/[3760] Speed: 64.311975 samples/sec accuracy=38.396973 loss=2.726907 lr=0.109111 Epoch[033] Batch [3249]/[3760] Speed: 64.222346 samples/sec accuracy=38.380769 loss=2.727246 lr=0.109109 Epoch[033] Batch [3299]/[3760] Speed: 64.273621 samples/sec accuracy=38.377841 loss=2.727513 lr=0.109106 Epoch[033] Batch [3349]/[3760] Speed: 64.017543 samples/sec accuracy=38.387593 loss=2.726904 lr=0.109104 Epoch[033] Batch [3399]/[3760] Speed: 63.835695 samples/sec accuracy=38.384651 loss=2.726797 lr=0.109101 Epoch[033] Batch [3449]/[3760] Speed: 63.821446 samples/sec accuracy=38.387681 loss=2.726817 lr=0.109099 Epoch[033] Batch [3499]/[3760] Speed: 64.052973 samples/sec accuracy=38.375446 loss=2.727076 lr=0.109097 Epoch[033] Batch [3549]/[3760] Speed: 64.513134 samples/sec accuracy=38.378081 loss=2.727107 lr=0.109094 Epoch[033] Batch [3599]/[3760] Speed: 64.322687 samples/sec accuracy=38.366319 loss=2.727159 lr=0.109092 Epoch[033] Batch [3649]/[3760] Speed: 64.814795 samples/sec accuracy=38.334332 loss=2.728768 lr=0.109089 Epoch[033] Batch [3699]/[3760] Speed: 63.664937 samples/sec accuracy=38.328125 loss=2.729208 lr=0.109087 Epoch[033] Batch [3749]/[3760] Speed: 68.005234 samples/sec accuracy=38.318750 loss=2.729710 lr=0.109085 Batch [0049]/[0303]: acc-top1=38.406250 acc-top5=65.531250 Batch [0099]/[0303]: acc-top1=38.359375 acc-top5=65.109375 Batch [0149]/[0303]: acc-top1=38.239583 acc-top5=65.270833 Batch [0199]/[0303]: acc-top1=38.281250 acc-top5=65.484375 Batch [0249]/[0303]: acc-top1=38.575000 acc-top5=65.756250 Batch [0299]/[0303]: acc-top1=38.385417 acc-top5=65.692708 [Epoch 033] training: accuracy=38.326961 loss=2.729470 [Epoch 033] speed: 63 samples/sec time cost: 4059.675209 [Epoch 033] validation: acc-top1=38.423061 acc-top5=65.728135 loss=2.980343 Epoch[034] Batch [0049]/[3759] Speed: 42.456382 samples/sec accuracy=39.250000 loss=2.709894 lr=0.109082 Epoch[034] Batch [0099]/[3759] Speed: 62.105606 samples/sec accuracy=38.625000 loss=2.720844 lr=0.109079 Epoch[034] Batch [0149]/[3759] Speed: 64.385764 samples/sec accuracy=38.770833 loss=2.705614 lr=0.109077 Epoch[034] Batch [0199]/[3759] Speed: 63.131503 samples/sec accuracy=38.953125 loss=2.700337 lr=0.109074 Epoch[034] Batch [0249]/[3759] Speed: 65.017334 samples/sec accuracy=38.862500 loss=2.708103 lr=0.109072 Epoch[034] Batch [0299]/[3759] Speed: 63.452356 samples/sec accuracy=38.755208 loss=2.708076 lr=0.109069 Epoch[034] Batch [0349]/[3759] Speed: 63.635502 samples/sec accuracy=38.629464 loss=2.714119 lr=0.109067 Epoch[034] Batch [0399]/[3759] Speed: 64.359009 samples/sec accuracy=38.558594 loss=2.711610 lr=0.109065 Epoch[034] Batch [0449]/[3759] Speed: 64.220685 samples/sec accuracy=38.565972 loss=2.716120 lr=0.109062 Epoch[034] Batch 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accuracy=38.623355 loss=2.715148 lr=0.109037 Epoch[034] Batch [0999]/[3759] Speed: 64.396158 samples/sec accuracy=38.520312 loss=2.718193 lr=0.109035 Epoch[034] Batch [1049]/[3759] Speed: 64.296425 samples/sec accuracy=38.595238 loss=2.714448 lr=0.109032 Epoch[034] Batch [1099]/[3759] Speed: 64.622161 samples/sec accuracy=38.606534 loss=2.713899 lr=0.109030 Epoch[034] Batch [1149]/[3759] Speed: 64.210081 samples/sec accuracy=38.615489 loss=2.714049 lr=0.109027 Epoch[034] Batch [1199]/[3759] Speed: 64.488137 samples/sec accuracy=38.587240 loss=2.716749 lr=0.109025 Epoch[034] Batch [1249]/[3759] Speed: 63.956348 samples/sec accuracy=38.576250 loss=2.717886 lr=0.109022 Epoch[034] Batch [1299]/[3759] Speed: 64.677190 samples/sec accuracy=38.578125 loss=2.717705 lr=0.109020 Epoch[034] Batch [1349]/[3759] Speed: 64.126250 samples/sec accuracy=38.591435 loss=2.717301 lr=0.109017 Epoch[034] Batch [1399]/[3759] Speed: 64.695994 samples/sec accuracy=38.540179 loss=2.719323 lr=0.109015 Epoch[034] 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accuracy=38.548520 loss=2.721660 lr=0.108989 Epoch[034] Batch [1949]/[3759] Speed: 65.047309 samples/sec accuracy=38.546474 loss=2.722129 lr=0.108987 Epoch[034] Batch [1999]/[3759] Speed: 64.224393 samples/sec accuracy=38.539062 loss=2.722937 lr=0.108984 Epoch[034] Batch [2049]/[3759] Speed: 64.504605 samples/sec accuracy=38.526677 loss=2.724676 lr=0.108982 Epoch[034] Batch [2099]/[3759] Speed: 64.253457 samples/sec accuracy=38.515625 loss=2.725248 lr=0.108979 Epoch[034] Batch [2149]/[3759] Speed: 64.310195 samples/sec accuracy=38.518895 loss=2.725335 lr=0.108977 Epoch[034] Batch [2199]/[3759] Speed: 64.461864 samples/sec accuracy=38.539773 loss=2.724196 lr=0.108974 Epoch[034] Batch [2249]/[3759] Speed: 64.256678 samples/sec accuracy=38.516667 loss=2.725083 lr=0.108972 Epoch[034] Batch [2299]/[3759] Speed: 64.030099 samples/sec accuracy=38.510190 loss=2.724072 lr=0.108969 Epoch[034] Batch [2349]/[3759] Speed: 64.798445 samples/sec accuracy=38.490027 loss=2.724003 lr=0.108966 Epoch[034] 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accuracy=38.406798 loss=2.724520 lr=0.108940 Epoch[034] Batch [2899]/[3759] Speed: 64.454162 samples/sec accuracy=38.403556 loss=2.723822 lr=0.108938 Epoch[034] Batch [2949]/[3759] Speed: 64.287915 samples/sec accuracy=38.403072 loss=2.724205 lr=0.108935 Epoch[034] Batch [2999]/[3759] Speed: 64.381153 samples/sec accuracy=38.401563 loss=2.724239 lr=0.108933 Epoch[034] Batch [3049]/[3759] Speed: 64.462804 samples/sec accuracy=38.407787 loss=2.723946 lr=0.108930 Epoch[034] Batch [3099]/[3759] Speed: 64.307143 samples/sec accuracy=38.408266 loss=2.723798 lr=0.108927 Epoch[034] Batch [3149]/[3759] Speed: 64.470876 samples/sec accuracy=38.404762 loss=2.723428 lr=0.108925 Epoch[034] Batch [3199]/[3759] Speed: 64.224387 samples/sec accuracy=38.408203 loss=2.723549 lr=0.108922 Epoch[034] Batch [3249]/[3759] Speed: 64.311920 samples/sec accuracy=38.409135 loss=2.723390 lr=0.108919 Epoch[034] Batch [3299]/[3759] Speed: 64.207788 samples/sec accuracy=38.420928 loss=2.723550 lr=0.108917 Epoch[034] Batch [3349]/[3759] Speed: 63.500421 samples/sec accuracy=38.405317 loss=2.724048 lr=0.108914 Epoch[034] Batch [3399]/[3759] Speed: 64.742993 samples/sec accuracy=38.387868 loss=2.725222 lr=0.108912 Epoch[034] Batch [3449]/[3759] Speed: 64.701064 samples/sec accuracy=38.378623 loss=2.725505 lr=0.108909 Epoch[034] Batch [3499]/[3759] Speed: 64.096951 samples/sec accuracy=38.369643 loss=2.725326 lr=0.108906 Epoch[034] Batch [3549]/[3759] Speed: 64.173882 samples/sec accuracy=38.387764 loss=2.724910 lr=0.108904 Epoch[034] Batch [3599]/[3759] Speed: 64.859988 samples/sec accuracy=38.386285 loss=2.724772 lr=0.108901 Epoch[034] Batch [3649]/[3759] Speed: 64.302134 samples/sec accuracy=38.383562 loss=2.724511 lr=0.108898 Epoch[034] Batch [3699]/[3759] Speed: 64.146819 samples/sec accuracy=38.369510 loss=2.725631 lr=0.108896 Epoch[034] Batch [3749]/[3759] Speed: 68.429663 samples/sec accuracy=38.355833 loss=2.726096 lr=0.108893 Batch [0049]/[0303]: acc-top1=38.906250 acc-top5=66.531250 Batch [0099]/[0303]: acc-top1=38.718750 acc-top5=65.750000 Batch [0149]/[0303]: acc-top1=38.843750 acc-top5=65.885417 Batch [0199]/[0303]: acc-top1=38.601562 acc-top5=65.953125 Batch [0249]/[0303]: acc-top1=38.543750 acc-top5=66.162500 Batch [0299]/[0303]: acc-top1=38.380208 acc-top5=66.161458 [Epoch 034] training: accuracy=38.354616 loss=2.726093 [Epoch 034] speed: 63 samples/sec time cost: 4049.950030 [Epoch 034] validation: acc-top1=38.392120 acc-top5=66.176774 loss=3.082743 Epoch[035] Batch [0049]/[3760] Speed: 42.278054 samples/sec accuracy=40.156250 loss=2.631513 lr=0.108890 Epoch[035] Batch [0099]/[3760] Speed: 63.017165 samples/sec accuracy=39.375000 loss=2.671762 lr=0.108887 Epoch[035] Batch [0149]/[3760] Speed: 64.238347 samples/sec accuracy=39.260417 loss=2.666312 lr=0.108884 Epoch[035] Batch [0199]/[3760] Speed: 63.853072 samples/sec accuracy=38.781250 loss=2.690719 lr=0.108882 Epoch[035] Batch [0249]/[3760] Speed: 64.797975 samples/sec accuracy=39.000000 loss=2.682503 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lr=0.108828 Epoch[035] Batch [1249]/[3760] Speed: 64.624328 samples/sec accuracy=38.675000 loss=2.705003 lr=0.108825 Epoch[035] Batch [1299]/[3760] Speed: 63.927393 samples/sec accuracy=38.698317 loss=2.703976 lr=0.108822 Epoch[035] Batch [1349]/[3760] Speed: 64.202319 samples/sec accuracy=38.682870 loss=2.705275 lr=0.108819 Epoch[035] Batch [1399]/[3760] Speed: 64.137600 samples/sec accuracy=38.710938 loss=2.703565 lr=0.108817 Epoch[035] Batch [1449]/[3760] Speed: 64.603373 samples/sec accuracy=38.743534 loss=2.703549 lr=0.108814 Epoch[035] Batch [1499]/[3760] Speed: 64.709503 samples/sec accuracy=38.758333 loss=2.701503 lr=0.108811 Epoch[035] Batch [1549]/[3760] Speed: 63.975642 samples/sec accuracy=38.737903 loss=2.703670 lr=0.108808 Epoch[035] Batch [1599]/[3760] Speed: 64.292786 samples/sec accuracy=38.700195 loss=2.706012 lr=0.108805 Epoch[035] Batch [1649]/[3760] Speed: 64.614476 samples/sec accuracy=38.718750 loss=2.704932 lr=0.108803 Epoch[035] Batch [1699]/[3760] Speed: 64.228445 samples/sec accuracy=38.724265 loss=2.705166 lr=0.108800 Epoch[035] Batch [1749]/[3760] Speed: 64.345070 samples/sec accuracy=38.719643 loss=2.705610 lr=0.108797 Epoch[035] Batch [1799]/[3760] Speed: 64.095103 samples/sec accuracy=38.707465 loss=2.705768 lr=0.108794 Epoch[035] Batch [1849]/[3760] Speed: 64.566337 samples/sec accuracy=38.703547 loss=2.705223 lr=0.108792 Epoch[035] Batch [1899]/[3760] Speed: 64.358583 samples/sec accuracy=38.745066 loss=2.704288 lr=0.108789 Epoch[035] Batch [1949]/[3760] Speed: 64.484272 samples/sec accuracy=38.757212 loss=2.704377 lr=0.108786 Epoch[035] Batch [1999]/[3760] Speed: 64.307446 samples/sec accuracy=38.718750 loss=2.703770 lr=0.108783 Epoch[035] Batch [2049]/[3760] Speed: 64.880617 samples/sec accuracy=38.736280 loss=2.702878 lr=0.108780 Epoch[035] Batch [2099]/[3760] Speed: 64.139233 samples/sec accuracy=38.703869 loss=2.703807 lr=0.108778 Epoch[035] Batch [2149]/[3760] Speed: 64.482059 samples/sec accuracy=38.694767 loss=2.704511 lr=0.108775 Epoch[035] Batch [2199]/[3760] Speed: 64.232981 samples/sec accuracy=38.696733 loss=2.704887 lr=0.108772 Epoch[035] Batch [2249]/[3760] Speed: 64.729881 samples/sec accuracy=38.665972 loss=2.705693 lr=0.108769 Epoch[035] Batch [2299]/[3760] Speed: 64.096529 samples/sec accuracy=38.657609 loss=2.706035 lr=0.108766 Epoch[035] Batch [2349]/[3760] Speed: 64.443336 samples/sec accuracy=38.644282 loss=2.706587 lr=0.108764 Epoch[035] Batch [2399]/[3760] Speed: 63.951727 samples/sec accuracy=38.636068 loss=2.707456 lr=0.108761 Epoch[035] Batch [2449]/[3760] Speed: 64.620009 samples/sec accuracy=38.598852 loss=2.709592 lr=0.108758 Epoch[035] Batch [2499]/[3760] Speed: 64.792879 samples/sec accuracy=38.615000 loss=2.709308 lr=0.108755 Epoch[035] Batch [2549]/[3760] Speed: 64.037497 samples/sec accuracy=38.585784 loss=2.711471 lr=0.108752 Epoch[035] Batch [2599]/[3760] Speed: 64.326803 samples/sec accuracy=38.548077 loss=2.713191 lr=0.108749 Epoch[035] Batch [2649]/[3760] Speed: 64.096014 samples/sec accuracy=38.560142 loss=2.712279 lr=0.108747 Epoch[035] Batch [2699]/[3760] Speed: 64.521246 samples/sec accuracy=38.558449 loss=2.712380 lr=0.108744 Epoch[035] Batch [2749]/[3760] Speed: 63.950205 samples/sec accuracy=38.539205 loss=2.713298 lr=0.108741 Epoch[035] Batch [2799]/[3760] Speed: 64.143929 samples/sec accuracy=38.523438 loss=2.713463 lr=0.108738 Epoch[035] Batch [2849]/[3760] Speed: 64.249800 samples/sec accuracy=38.518640 loss=2.714144 lr=0.108735 Epoch[035] Batch [2899]/[3760] Speed: 63.896568 samples/sec accuracy=38.519935 loss=2.714326 lr=0.108732 Epoch[035] Batch [2949]/[3760] Speed: 63.813568 samples/sec accuracy=38.532309 loss=2.714610 lr=0.108730 Epoch[035] Batch [2999]/[3760] Speed: 64.649773 samples/sec accuracy=38.528125 loss=2.715785 lr=0.108727 Epoch[035] Batch [3049]/[3760] Speed: 64.083512 samples/sec accuracy=38.505635 loss=2.716158 lr=0.108724 Epoch[035] Batch [3099]/[3760] Speed: 64.513877 samples/sec accuracy=38.492440 loss=2.716528 lr=0.108721 Epoch[035] Batch [3149]/[3760] Speed: 64.620032 samples/sec accuracy=38.490575 loss=2.717064 lr=0.108718 Epoch[035] Batch [3199]/[3760] Speed: 64.022598 samples/sec accuracy=38.512695 loss=2.716255 lr=0.108715 Epoch[035] Batch [3249]/[3760] Speed: 63.970728 samples/sec accuracy=38.500962 loss=2.716662 lr=0.108712 Epoch[035] Batch [3299]/[3760] Speed: 64.181216 samples/sec accuracy=38.489110 loss=2.717328 lr=0.108709 Epoch[035] Batch [3349]/[3760] Speed: 64.211985 samples/sec accuracy=38.481343 loss=2.717339 lr=0.108707 Epoch[035] Batch [3399]/[3760] Speed: 64.914718 samples/sec accuracy=38.476562 loss=2.718196 lr=0.108704 Epoch[035] Batch [3449]/[3760] Speed: 64.114377 samples/sec accuracy=38.474638 loss=2.718356 lr=0.108701 Epoch[035] Batch [3499]/[3760] Speed: 64.181245 samples/sec accuracy=38.472321 loss=2.717835 lr=0.108698 Epoch[035] Batch [3549]/[3760] Speed: 64.235857 samples/sec accuracy=38.470951 loss=2.717606 lr=0.108695 Epoch[035] Batch [3599]/[3760] Speed: 64.493333 samples/sec accuracy=38.462240 loss=2.718772 lr=0.108692 Epoch[035] Batch [3649]/[3760] Speed: 64.150663 samples/sec accuracy=38.440068 loss=2.719198 lr=0.108689 Epoch[035] Batch [3699]/[3760] Speed: 63.994480 samples/sec accuracy=38.440034 loss=2.719444 lr=0.108686 Epoch[035] Batch [3749]/[3760] Speed: 67.697278 samples/sec accuracy=38.449583 loss=2.718993 lr=0.108683 Batch [0049]/[0303]: acc-top1=38.968750 acc-top5=65.781250 Batch [0099]/[0303]: acc-top1=38.046875 acc-top5=66.046875 Batch [0149]/[0303]: acc-top1=37.750000 acc-top5=65.843750 Batch [0199]/[0303]: acc-top1=37.539062 acc-top5=65.578125 Batch [0249]/[0303]: acc-top1=37.868750 acc-top5=65.762500 Batch [0299]/[0303]: acc-top1=37.864583 acc-top5=65.729167 [Epoch 035] training: accuracy=38.444980 loss=2.719026 [Epoch 035] speed: 63 samples/sec time cost: 4055.725998 [Epoch 035] validation: acc-top1=37.855817 acc-top5=65.743606 loss=3.051742 Epoch[036] Batch [0049]/[3760] Speed: 42.108221 samples/sec accuracy=38.468750 loss=2.698040 lr=0.108680 Epoch[036] Batch [0099]/[3760] Speed: 62.295770 samples/sec accuracy=39.406250 loss=2.668838 lr=0.108677 Epoch[036] Batch [0149]/[3760] Speed: 63.736010 samples/sec accuracy=39.333333 loss=2.678351 lr=0.108674 Epoch[036] Batch [0199]/[3760] Speed: 62.903472 samples/sec accuracy=39.257812 loss=2.687854 lr=0.108671 Epoch[036] Batch [0249]/[3760] Speed: 64.614243 samples/sec accuracy=39.112500 loss=2.688504 lr=0.108668 Epoch[036] Batch [0299]/[3760] Speed: 64.216505 samples/sec accuracy=39.046875 loss=2.686179 lr=0.108665 Epoch[036] Batch [0349]/[3760] Speed: 64.193825 samples/sec accuracy=38.991071 loss=2.693333 lr=0.108662 Epoch[036] Batch [0399]/[3760] Speed: 64.238396 samples/sec accuracy=38.878906 loss=2.696494 lr=0.108659 Epoch[036] Batch [0449]/[3760] Speed: 63.687017 samples/sec accuracy=38.993056 loss=2.693912 lr=0.108657 Epoch[036] Batch [0499]/[3760] Speed: 64.494585 samples/sec accuracy=39.031250 loss=2.690693 lr=0.108654 Epoch[036] Batch [0549]/[3760] Speed: 64.005249 samples/sec accuracy=38.963068 loss=2.695204 lr=0.108651 Epoch[036] Batch [0599]/[3760] Speed: 64.322800 samples/sec accuracy=38.971354 loss=2.697207 lr=0.108648 Epoch[036] Batch [0649]/[3760] Speed: 63.906388 samples/sec accuracy=38.865385 loss=2.700626 lr=0.108645 Epoch[036] Batch [0699]/[3760] Speed: 64.506823 samples/sec accuracy=38.776786 loss=2.706193 lr=0.108642 Epoch[036] Batch [0749]/[3760] Speed: 64.198450 samples/sec accuracy=38.820833 loss=2.704946 lr=0.108639 Epoch[036] Batch [0799]/[3760] Speed: 64.110340 samples/sec accuracy=38.914062 loss=2.698874 lr=0.108636 Epoch[036] Batch [0849]/[3760] Speed: 64.128244 samples/sec accuracy=38.810662 loss=2.702837 lr=0.108633 Epoch[036] Batch [0899]/[3760] Speed: 64.380643 samples/sec accuracy=38.859375 loss=2.699580 lr=0.108630 Epoch[036] Batch [0949]/[3760] Speed: 64.208867 samples/sec accuracy=38.876645 loss=2.697801 lr=0.108627 Epoch[036] Batch [0999]/[3760] Speed: 63.123937 samples/sec accuracy=38.878125 loss=2.697163 lr=0.108624 Epoch[036] Batch [1049]/[3760] Speed: 64.780906 samples/sec accuracy=38.876488 loss=2.697764 lr=0.108621 Epoch[036] Batch [1099]/[3760] Speed: 64.196287 samples/sec accuracy=38.838068 loss=2.698734 lr=0.108618 Epoch[036] Batch [1149]/[3760] Speed: 64.006287 samples/sec accuracy=38.932065 loss=2.695640 lr=0.108615 Epoch[036] Batch [1199]/[3760] Speed: 64.937671 samples/sec accuracy=38.924479 loss=2.695638 lr=0.108612 Epoch[036] Batch [1249]/[3760] Speed: 64.059892 samples/sec accuracy=38.987500 loss=2.694132 lr=0.108609 Epoch[036] Batch [1299]/[3760] Speed: 64.505420 samples/sec accuracy=38.998798 loss=2.692385 lr=0.108606 Epoch[036] Batch [1349]/[3760] Speed: 64.273466 samples/sec accuracy=38.957176 loss=2.695482 lr=0.108603 Epoch[036] Batch [1399]/[3760] Speed: 64.306822 samples/sec accuracy=38.973214 loss=2.695934 lr=0.108600 Epoch[036] Batch [1449]/[3760] Speed: 64.354222 samples/sec accuracy=38.952586 loss=2.695489 lr=0.108597 Epoch[036] Batch [1499]/[3760] Speed: 64.054146 samples/sec accuracy=38.931250 loss=2.695998 lr=0.108594 Epoch[036] Batch [1549]/[3760] Speed: 64.741956 samples/sec accuracy=38.938508 loss=2.696635 lr=0.108591 Epoch[036] Batch [1599]/[3760] Speed: 63.990702 samples/sec accuracy=38.908203 loss=2.698439 lr=0.108588 Epoch[036] Batch [1649]/[3760] Speed: 64.286324 samples/sec accuracy=38.928977 loss=2.696534 lr=0.108585 Epoch[036] Batch [1699]/[3760] Speed: 64.565800 samples/sec accuracy=38.854779 loss=2.699366 lr=0.108582 Epoch[036] Batch [1749]/[3760] Speed: 64.381829 samples/sec accuracy=38.854464 loss=2.700135 lr=0.108579 Epoch[036] Batch [1799]/[3760] Speed: 64.245141 samples/sec accuracy=38.818576 loss=2.702530 lr=0.108576 Epoch[036] Batch [1849]/[3760] Speed: 64.071955 samples/sec accuracy=38.771959 loss=2.703952 lr=0.108573 Epoch[036] Batch [1899]/[3760] Speed: 64.337837 samples/sec accuracy=38.750000 loss=2.705949 lr=0.108570 Epoch[036] Batch [1949]/[3760] Speed: 64.035427 samples/sec accuracy=38.749199 loss=2.706865 lr=0.108567 Epoch[036] Batch [1999]/[3760] Speed: 64.137327 samples/sec accuracy=38.746094 loss=2.705776 lr=0.108564 Epoch[036] Batch [2049]/[3760] Speed: 65.039895 samples/sec accuracy=38.745427 loss=2.706541 lr=0.108561 Epoch[036] Batch [2099]/[3760] Speed: 64.239353 samples/sec accuracy=38.758185 loss=2.707045 lr=0.108558 Epoch[036] Batch [2149]/[3760] Speed: 64.027773 samples/sec accuracy=38.765262 loss=2.707779 lr=0.108555 Epoch[036] Batch [2199]/[3760] Speed: 64.741485 samples/sec accuracy=38.779119 loss=2.705491 lr=0.108552 Epoch[036] Batch [2249]/[3760] Speed: 64.103669 samples/sec accuracy=38.772917 loss=2.705989 lr=0.108549 Epoch[036] Batch [2299]/[3760] Speed: 63.770548 samples/sec accuracy=38.763587 loss=2.706392 lr=0.108546 Epoch[036] Batch [2349]/[3760] Speed: 64.602531 samples/sec accuracy=38.751330 loss=2.706160 lr=0.108543 Epoch[036] Batch [2399]/[3760] Speed: 64.159417 samples/sec accuracy=38.753906 loss=2.705308 lr=0.108540 Epoch[036] Batch [2449]/[3760] Speed: 64.390716 samples/sec accuracy=38.721301 loss=2.705506 lr=0.108537 Epoch[036] Batch [2499]/[3760] Speed: 64.187257 samples/sec accuracy=38.693750 loss=2.707497 lr=0.108534 Epoch[036] Batch [2549]/[3760] Speed: 63.890473 samples/sec accuracy=38.692402 loss=2.708715 lr=0.108530 Epoch[036] Batch [2599]/[3760] Speed: 64.308363 samples/sec accuracy=38.692909 loss=2.708861 lr=0.108527 Epoch[036] Batch [2649]/[3760] Speed: 63.866349 samples/sec accuracy=38.661557 loss=2.710431 lr=0.108524 Epoch[036] Batch [2699]/[3760] Speed: 64.808866 samples/sec accuracy=38.690394 loss=2.710344 lr=0.108521 Epoch[036] Batch [2749]/[3760] Speed: 64.461028 samples/sec accuracy=38.701136 loss=2.709607 lr=0.108518 Epoch[036] Batch [2799]/[3760] Speed: 64.196482 samples/sec accuracy=38.703125 loss=2.709813 lr=0.108515 Epoch[036] Batch [2849]/[3760] Speed: 64.835871 samples/sec accuracy=38.705044 loss=2.710047 lr=0.108512 Epoch[036] Batch [2899]/[3760] Speed: 64.178488 samples/sec accuracy=38.677263 loss=2.711101 lr=0.108509 Epoch[036] Batch [2949]/[3760] Speed: 64.350721 samples/sec accuracy=38.674258 loss=2.710255 lr=0.108506 Epoch[036] Batch [2999]/[3760] Speed: 64.152387 samples/sec accuracy=38.677083 loss=2.710499 lr=0.108503 Epoch[036] Batch [3049]/[3760] Speed: 64.158938 samples/sec accuracy=38.684426 loss=2.710390 lr=0.108500 Epoch[036] Batch [3099]/[3760] Speed: 64.311103 samples/sec accuracy=38.688004 loss=2.710203 lr=0.108497 Epoch[036] Batch [3149]/[3760] Speed: 64.580199 samples/sec accuracy=38.674107 loss=2.711004 lr=0.108493 Epoch[036] Batch [3199]/[3760] Speed: 64.081656 samples/sec accuracy=38.657227 loss=2.712120 lr=0.108490 Epoch[036] Batch [3249]/[3760] Speed: 64.171809 samples/sec accuracy=38.663942 loss=2.711913 lr=0.108487 Epoch[036] Batch [3299]/[3760] Speed: 64.295162 samples/sec accuracy=38.673295 loss=2.711713 lr=0.108484 Epoch[036] Batch [3349]/[3760] Speed: 64.617389 samples/sec accuracy=38.672108 loss=2.712610 lr=0.108481 Epoch[036] Batch [3399]/[3760] Speed: 64.361541 samples/sec accuracy=38.657169 loss=2.713383 lr=0.108478 Epoch[036] Batch [3449]/[3760] Speed: 64.003697 samples/sec accuracy=38.633605 loss=2.714081 lr=0.108475 Epoch[036] Batch [3499]/[3760] Speed: 64.625604 samples/sec accuracy=38.625446 loss=2.714016 lr=0.108472 Epoch[036] Batch [3549]/[3760] Speed: 64.020007 samples/sec accuracy=38.621479 loss=2.714283 lr=0.108468 Epoch[036] Batch [3599]/[3760] Speed: 64.421140 samples/sec accuracy=38.613281 loss=2.714892 lr=0.108465 Epoch[036] Batch [3649]/[3760] Speed: 64.651935 samples/sec accuracy=38.584332 loss=2.716245 lr=0.108462 Epoch[036] Batch [3699]/[3760] Speed: 63.815792 samples/sec accuracy=38.586993 loss=2.716182 lr=0.108459 Epoch[036] Batch [3749]/[3760] Speed: 67.576723 samples/sec accuracy=38.584583 loss=2.716705 lr=0.108456 Batch [0049]/[0303]: acc-top1=40.593750 acc-top5=68.218750 Batch [0099]/[0303]: acc-top1=39.781250 acc-top5=67.906250 Batch [0149]/[0303]: acc-top1=40.000000 acc-top5=67.645833 Batch [0199]/[0303]: acc-top1=40.093750 acc-top5=67.703125 Batch [0249]/[0303]: acc-top1=40.306250 acc-top5=67.956250 Batch [0299]/[0303]: acc-top1=40.338542 acc-top5=67.937500 [Epoch 036] training: accuracy=38.587517 loss=2.716664 [Epoch 036] speed: 63 samples/sec time cost: 4056.834255 [Epoch 036] validation: acc-top1=40.351691 acc-top5=67.940388 loss=2.768638 Epoch[037] Batch [0049]/[3759] Speed: 42.439191 samples/sec accuracy=39.656250 loss=2.674109 lr=0.108452 Epoch[037] Batch [0099]/[3759] Speed: 62.924801 samples/sec accuracy=39.750000 loss=2.658585 lr=0.108449 Epoch[037] Batch [0149]/[3759] Speed: 64.330829 samples/sec accuracy=39.562500 loss=2.659233 lr=0.108446 Epoch[037] Batch [0199]/[3759] Speed: 63.554912 samples/sec accuracy=39.429688 loss=2.672412 lr=0.108443 Epoch[037] Batch [0249]/[3759] Speed: 64.823354 samples/sec accuracy=39.243750 loss=2.681250 lr=0.108440 Epoch[037] Batch [0299]/[3759] Speed: 64.409903 samples/sec accuracy=39.244792 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accuracy=38.756250 loss=2.685269 lr=0.108376 Epoch[037] Batch [1299]/[3759] Speed: 64.148180 samples/sec accuracy=38.739183 loss=2.686998 lr=0.108372 Epoch[037] Batch [1349]/[3759] Speed: 64.583393 samples/sec accuracy=38.699074 loss=2.688200 lr=0.108369 Epoch[037] Batch [1399]/[3759] Speed: 64.507923 samples/sec accuracy=38.707589 loss=2.687636 lr=0.108366 Epoch[037] Batch [1449]/[3759] Speed: 64.589267 samples/sec accuracy=38.675647 loss=2.688230 lr=0.108363 Epoch[037] Batch [1499]/[3759] Speed: 64.472363 samples/sec accuracy=38.668750 loss=2.689574 lr=0.108360 Epoch[037] Batch [1549]/[3759] Speed: 64.086498 samples/sec accuracy=38.654234 loss=2.689646 lr=0.108356 Epoch[037] Batch [1599]/[3759] Speed: 64.534625 samples/sec accuracy=38.662109 loss=2.690751 lr=0.108353 Epoch[037] Batch [1649]/[3759] Speed: 63.917347 samples/sec accuracy=38.678030 loss=2.690554 lr=0.108350 Epoch[037] Batch [1699]/[3759] Speed: 64.478514 samples/sec accuracy=38.669118 loss=2.691713 lr=0.108347 Epoch[037] 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accuracy=38.526278 loss=2.700546 lr=0.108314 Epoch[037] Batch [2249]/[3759] Speed: 64.176432 samples/sec accuracy=38.506944 loss=2.701720 lr=0.108311 Epoch[037] Batch [2299]/[3759] Speed: 64.826660 samples/sec accuracy=38.525815 loss=2.702440 lr=0.108307 Epoch[037] Batch [2349]/[3759] Speed: 64.019331 samples/sec accuracy=38.537899 loss=2.702537 lr=0.108304 Epoch[037] Batch [2399]/[3759] Speed: 64.473852 samples/sec accuracy=38.570312 loss=2.701388 lr=0.108301 Epoch[037] Batch [2449]/[3759] Speed: 64.920956 samples/sec accuracy=38.584184 loss=2.702155 lr=0.108297 Epoch[037] Batch [2499]/[3759] Speed: 63.684384 samples/sec accuracy=38.558125 loss=2.703292 lr=0.108294 Epoch[037] Batch [2549]/[3759] Speed: 64.418790 samples/sec accuracy=38.539828 loss=2.703631 lr=0.108291 Epoch[037] Batch [2599]/[3759] Speed: 64.563586 samples/sec accuracy=38.557692 loss=2.702250 lr=0.108288 Epoch[037] Batch [2649]/[3759] Speed: 64.425744 samples/sec accuracy=38.549528 loss=2.702924 lr=0.108284 Epoch[037] 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accuracy=38.517857 loss=2.704009 lr=0.108251 Epoch[037] Batch [3199]/[3759] Speed: 64.382697 samples/sec accuracy=38.519043 loss=2.704576 lr=0.108248 Epoch[037] Batch [3249]/[3759] Speed: 64.668472 samples/sec accuracy=38.525481 loss=2.704528 lr=0.108244 Epoch[037] Batch [3299]/[3759] Speed: 64.263490 samples/sec accuracy=38.549242 loss=2.704008 lr=0.108241 Epoch[037] Batch [3349]/[3759] Speed: 64.092567 samples/sec accuracy=38.555504 loss=2.704317 lr=0.108238 Epoch[037] Batch [3399]/[3759] Speed: 64.448298 samples/sec accuracy=38.568934 loss=2.704379 lr=0.108234 Epoch[037] Batch [3449]/[3759] Speed: 64.039139 samples/sec accuracy=38.552083 loss=2.705408 lr=0.108231 Epoch[037] Batch [3499]/[3759] Speed: 64.327802 samples/sec accuracy=38.550893 loss=2.705953 lr=0.108227 Epoch[037] Batch [3549]/[3759] Speed: 64.893511 samples/sec accuracy=38.535651 loss=2.706478 lr=0.108224 Epoch[037] Batch [3599]/[3759] Speed: 64.136813 samples/sec accuracy=38.546441 loss=2.706579 lr=0.108221 Epoch[037] Batch [3649]/[3759] Speed: 64.288388 samples/sec accuracy=38.528253 loss=2.707078 lr=0.108217 Epoch[037] Batch [3699]/[3759] Speed: 64.720454 samples/sec accuracy=38.524916 loss=2.708125 lr=0.108214 Epoch[037] Batch [3749]/[3759] Speed: 68.173401 samples/sec accuracy=38.531250 loss=2.707516 lr=0.108211 Batch [0049]/[0303]: acc-top1=36.656250 acc-top5=63.437500 Batch [0099]/[0303]: acc-top1=36.437500 acc-top5=64.109375 Batch [0149]/[0303]: acc-top1=36.562500 acc-top5=64.406250 Batch [0199]/[0303]: acc-top1=36.601562 acc-top5=64.304688 Batch [0249]/[0303]: acc-top1=36.925000 acc-top5=64.618750 Batch [0299]/[0303]: acc-top1=36.880208 acc-top5=64.572917 [Epoch 037] training: accuracy=38.522546 loss=2.708082 [Epoch 037] speed: 63 samples/sec time cost: 4049.292463 [Epoch 037] validation: acc-top1=36.927599 acc-top5=64.619431 loss=2.953289 Epoch[038] Batch [0049]/[3760] Speed: 43.222349 samples/sec accuracy=39.281250 loss=2.673316 lr=0.108207 Epoch[038] Batch [0099]/[3760] Speed: 62.256131 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lr=0.107973 Epoch[038] Batch [3449]/[3760] Speed: 64.203674 samples/sec accuracy=38.769475 loss=2.700455 lr=0.107969 Epoch[038] Batch [3499]/[3760] Speed: 64.527339 samples/sec accuracy=38.758929 loss=2.700501 lr=0.107966 Epoch[038] Batch [3549]/[3760] Speed: 64.649466 samples/sec accuracy=38.749120 loss=2.701068 lr=0.107962 Epoch[038] Batch [3599]/[3760] Speed: 63.912297 samples/sec accuracy=38.733073 loss=2.701453 lr=0.107958 Epoch[038] Batch [3649]/[3760] Speed: 64.201701 samples/sec accuracy=38.731164 loss=2.702056 lr=0.107955 Epoch[038] Batch [3699]/[3760] Speed: 65.213926 samples/sec accuracy=38.726774 loss=2.702358 lr=0.107951 Epoch[038] Batch [3749]/[3760] Speed: 67.483315 samples/sec accuracy=38.722500 loss=2.702552 lr=0.107948 Batch [0049]/[0303]: acc-top1=38.312500 acc-top5=66.031250 Batch [0099]/[0303]: acc-top1=38.578125 acc-top5=65.796875 Batch [0149]/[0303]: acc-top1=38.958333 acc-top5=66.302083 Batch [0199]/[0303]: acc-top1=38.664062 acc-top5=66.203125 Batch [0249]/[0303]: acc-top1=38.906250 acc-top5=66.331250 Batch [0299]/[0303]: acc-top1=38.854167 acc-top5=66.562500 [Epoch 038] training: accuracy=38.724235 loss=2.702366 [Epoch 038] speed: 64 samples/sec time cost: 4045.307446 [Epoch 038] validation: acc-top1=38.845916 acc-top5=66.553218 loss=3.000128 Epoch[039] Batch [0049]/[3760] Speed: 42.796706 samples/sec accuracy=39.437500 loss=2.647920 lr=0.107943 Epoch[039] Batch [0099]/[3760] Speed: 63.015924 samples/sec accuracy=39.140625 loss=2.667707 lr=0.107940 Epoch[039] Batch [0149]/[3760] Speed: 64.386495 samples/sec accuracy=39.000000 loss=2.680856 lr=0.107936 Epoch[039] Batch [0199]/[3760] Speed: 64.217649 samples/sec accuracy=38.960938 loss=2.674370 lr=0.107932 Epoch[039] Batch [0249]/[3760] Speed: 64.520344 samples/sec accuracy=39.106250 loss=2.664665 lr=0.107929 Epoch[039] Batch [0299]/[3760] Speed: 65.276422 samples/sec accuracy=39.416667 loss=2.663771 lr=0.107925 Epoch[039] Batch [0349]/[3760] Speed: 64.658620 samples/sec accuracy=39.250000 loss=2.670145 lr=0.107921 Epoch[039] Batch [0399]/[3760] Speed: 63.788361 samples/sec accuracy=39.281250 loss=2.670306 lr=0.107918 Epoch[039] Batch [0449]/[3760] Speed: 65.069862 samples/sec accuracy=39.239583 loss=2.674325 lr=0.107914 Epoch[039] Batch [0499]/[3760] Speed: 64.834280 samples/sec accuracy=39.303125 loss=2.668389 lr=0.107911 Epoch[039] Batch [0549]/[3760] Speed: 63.758206 samples/sec accuracy=39.295455 loss=2.665787 lr=0.107907 Epoch[039] Batch [0599]/[3760] Speed: 64.903292 samples/sec accuracy=39.158854 loss=2.672699 lr=0.107903 Epoch[039] Batch [0649]/[3760] Speed: 64.159547 samples/sec accuracy=39.197115 loss=2.673752 lr=0.107900 Epoch[039] Batch [0699]/[3760] Speed: 64.474256 samples/sec accuracy=39.185268 loss=2.674018 lr=0.107896 Epoch[039] Batch [0749]/[3760] Speed: 64.609960 samples/sec accuracy=39.256250 loss=2.672950 lr=0.107892 Epoch[039] Batch [0799]/[3760] Speed: 64.363628 samples/sec accuracy=39.236328 loss=2.676249 lr=0.107889 Epoch[039] Batch [0849]/[3760] Speed: 64.373250 samples/sec accuracy=39.180147 loss=2.677493 lr=0.107885 Epoch[039] Batch [0899]/[3760] Speed: 64.322008 samples/sec accuracy=39.119792 loss=2.678839 lr=0.107881 Epoch[039] Batch [0949]/[3760] Speed: 64.394418 samples/sec accuracy=39.182566 loss=2.675457 lr=0.107878 Epoch[039] Batch [0999]/[3760] Speed: 63.779532 samples/sec accuracy=39.262500 loss=2.672826 lr=0.107874 Epoch[039] Batch [1049]/[3760] Speed: 64.579182 samples/sec accuracy=39.171131 loss=2.673907 lr=0.107870 Epoch[039] Batch [1099]/[3760] Speed: 64.282742 samples/sec accuracy=39.178977 loss=2.675045 lr=0.107867 Epoch[039] Batch [1149]/[3760] Speed: 64.352314 samples/sec accuracy=39.198370 loss=2.675028 lr=0.107863 Epoch[039] Batch [1199]/[3760] Speed: 63.898093 samples/sec accuracy=39.205729 loss=2.674664 lr=0.107859 Epoch[039] Batch [1249]/[3760] Speed: 64.794648 samples/sec accuracy=39.181250 loss=2.677111 lr=0.107855 Epoch[039] Batch [1299]/[3760] Speed: 64.592986 samples/sec accuracy=39.163462 loss=2.677844 lr=0.107852 Epoch[039] Batch [1349]/[3760] Speed: 64.258548 samples/sec accuracy=39.163194 loss=2.676128 lr=0.107848 Epoch[039] Batch [1399]/[3760] Speed: 64.745752 samples/sec accuracy=39.117188 loss=2.678531 lr=0.107844 Epoch[039] Batch [1449]/[3760] Speed: 64.655288 samples/sec accuracy=39.108836 loss=2.678866 lr=0.107841 Epoch[039] Batch [1499]/[3760] Speed: 64.238194 samples/sec accuracy=39.094792 loss=2.680206 lr=0.107837 Epoch[039] Batch [1549]/[3760] Speed: 64.618531 samples/sec accuracy=39.079637 loss=2.680815 lr=0.107833 Epoch[039] Batch [1599]/[3760] Speed: 64.463792 samples/sec accuracy=39.054688 loss=2.681363 lr=0.107829 Epoch[039] Batch [1649]/[3760] Speed: 64.300387 samples/sec accuracy=39.064394 loss=2.681982 lr=0.107826 Epoch[039] Batch [1699]/[3760] Speed: 64.698556 samples/sec accuracy=39.083640 loss=2.681454 lr=0.107822 Epoch[039] Batch [1749]/[3760] Speed: 64.458217 samples/sec accuracy=39.050893 loss=2.682384 lr=0.107818 Epoch[039] Batch [1799]/[3760] Speed: 64.082625 samples/sec accuracy=39.046875 loss=2.683260 lr=0.107815 Epoch[039] Batch [1849]/[3760] Speed: 64.687686 samples/sec accuracy=39.068412 loss=2.682807 lr=0.107811 Epoch[039] Batch [1899]/[3760] Speed: 64.401767 samples/sec accuracy=39.107730 loss=2.682532 lr=0.107807 Epoch[039] Batch [1949]/[3760] Speed: 64.493428 samples/sec accuracy=39.081731 loss=2.684050 lr=0.107803 Epoch[039] Batch [1999]/[3760] Speed: 64.424162 samples/sec accuracy=39.050000 loss=2.685459 lr=0.107800 Epoch[039] Batch [2049]/[3760] Speed: 64.648314 samples/sec accuracy=39.037348 loss=2.685775 lr=0.107796 Epoch[039] Batch [2099]/[3760] Speed: 64.198978 samples/sec accuracy=39.037202 loss=2.685856 lr=0.107792 Epoch[039] Batch [2149]/[3760] Speed: 64.737329 samples/sec accuracy=39.019622 loss=2.686441 lr=0.107788 Epoch[039] Batch [2199]/[3760] Speed: 64.632187 samples/sec accuracy=39.028409 loss=2.686315 lr=0.107785 Epoch[039] Batch [2249]/[3760] Speed: 64.230199 samples/sec accuracy=39.036806 loss=2.685680 lr=0.107781 Epoch[039] Batch [2299]/[3760] Speed: 64.750056 samples/sec accuracy=39.019022 loss=2.686409 lr=0.107777 Epoch[039] Batch [2349]/[3760] Speed: 64.588763 samples/sec accuracy=39.003324 loss=2.687137 lr=0.107773 Epoch[039] Batch [2399]/[3760] Speed: 64.374384 samples/sec accuracy=38.975260 loss=2.689003 lr=0.107770 Epoch[039] Batch [2449]/[3760] Speed: 64.085758 samples/sec accuracy=38.970026 loss=2.689815 lr=0.107766 Epoch[039] Batch [2499]/[3760] Speed: 64.716709 samples/sec accuracy=38.955625 loss=2.690025 lr=0.107762 Epoch[039] Batch [2549]/[3760] Speed: 64.443067 samples/sec accuracy=38.947304 loss=2.690524 lr=0.107758 Epoch[039] Batch [2599]/[3760] Speed: 64.236078 samples/sec accuracy=38.926683 loss=2.691990 lr=0.107755 Epoch[039] Batch [2649]/[3760] Speed: 64.551183 samples/sec accuracy=38.908019 loss=2.692453 lr=0.107751 Epoch[039] Batch [2699]/[3760] Speed: 64.824360 samples/sec accuracy=38.905671 loss=2.692342 lr=0.107747 Epoch[039] Batch [2749]/[3760] Speed: 63.771324 samples/sec accuracy=38.888068 loss=2.692591 lr=0.107743 Epoch[039] Batch [2799]/[3760] Speed: 65.077199 samples/sec accuracy=38.869420 loss=2.693132 lr=0.107739 Epoch[039] Batch [2849]/[3760] Speed: 64.422517 samples/sec accuracy=38.847588 loss=2.693236 lr=0.107736 Epoch[039] Batch [2899]/[3760] Speed: 64.141217 samples/sec accuracy=38.834052 loss=2.693739 lr=0.107732 Epoch[039] Batch [2949]/[3760] Speed: 64.689076 samples/sec accuracy=38.840572 loss=2.693524 lr=0.107728 Epoch[039] Batch [2999]/[3760] Speed: 64.240821 samples/sec accuracy=38.836979 loss=2.693689 lr=0.107724 Epoch[039] Batch [3049]/[3760] Speed: 64.641727 samples/sec accuracy=38.827357 loss=2.694573 lr=0.107720 Epoch[039] Batch [3099]/[3760] Speed: 64.473677 samples/sec accuracy=38.829637 loss=2.694015 lr=0.107717 Epoch[039] Batch [3149]/[3760] Speed: 64.411708 samples/sec accuracy=38.814484 loss=2.694371 lr=0.107713 Epoch[039] Batch [3199]/[3760] Speed: 64.235157 samples/sec accuracy=38.819336 loss=2.694909 lr=0.107709 Epoch[039] Batch [3249]/[3760] Speed: 64.262196 samples/sec accuracy=38.826442 loss=2.695104 lr=0.107705 Epoch[039] Batch [3299]/[3760] Speed: 64.553728 samples/sec accuracy=38.818182 loss=2.695589 lr=0.107701 Epoch[039] Batch [3349]/[3760] Speed: 63.959700 samples/sec accuracy=38.813433 loss=2.696221 lr=0.107697 Epoch[039] Batch [3399]/[3760] Speed: 65.449230 samples/sec accuracy=38.813879 loss=2.696854 lr=0.107694 Epoch[039] Batch [3449]/[3760] Speed: 63.903830 samples/sec accuracy=38.820652 loss=2.697035 lr=0.107690 Epoch[039] Batch [3499]/[3760] Speed: 64.334747 samples/sec accuracy=38.817411 loss=2.697692 lr=0.107686 Epoch[039] Batch [3549]/[3760] Speed: 64.436201 samples/sec accuracy=38.824384 loss=2.697355 lr=0.107682 Epoch[039] Batch [3599]/[3760] Speed: 64.113668 samples/sec accuracy=38.802517 loss=2.698384 lr=0.107678 Epoch[039] Batch [3649]/[3760] Speed: 64.115478 samples/sec accuracy=38.794092 loss=2.698357 lr=0.107674 Epoch[039] Batch [3699]/[3760] Speed: 63.699634 samples/sec accuracy=38.785895 loss=2.699043 lr=0.107671 Epoch[039] Batch [3749]/[3760] Speed: 68.116507 samples/sec accuracy=38.791667 loss=2.699485 lr=0.107667 Batch [0049]/[0303]: acc-top1=38.375000 acc-top5=65.250000 Batch [0099]/[0303]: acc-top1=37.500000 acc-top5=64.812500 Batch [0149]/[0303]: acc-top1=37.187500 acc-top5=64.875000 Batch [0199]/[0303]: acc-top1=37.335938 acc-top5=65.007812 Batch [0249]/[0303]: acc-top1=37.625000 acc-top5=65.312500 Batch [0299]/[0303]: acc-top1=37.479167 acc-top5=65.281250 [Epoch 039] training: accuracy=38.785738 loss=2.699781 [Epoch 039] speed: 64 samples/sec time cost: 4048.176156 [Epoch 039] validation: acc-top1=37.505157 acc-top5=65.310437 loss=2.953541 Epoch[040] Batch [0049]/[3759] Speed: 42.095986 samples/sec accuracy=40.281250 loss=2.620582 lr=0.107662 Epoch[040] Batch [0099]/[3759] Speed: 63.648294 samples/sec accuracy=40.500000 loss=2.633700 lr=0.107658 Epoch[040] Batch [0149]/[3759] Speed: 64.904241 samples/sec accuracy=40.125000 loss=2.623171 lr=0.107654 Epoch[040] Batch [0199]/[3759] Speed: 63.974056 samples/sec accuracy=40.164062 loss=2.625198 lr=0.107651 Epoch[040] Batch [0249]/[3759] Speed: 64.368123 samples/sec accuracy=39.900000 loss=2.634137 lr=0.107647 Epoch[040] Batch [0299]/[3759] Speed: 64.560047 samples/sec accuracy=39.848958 loss=2.640586 lr=0.107643 Epoch[040] Batch [0349]/[3759] Speed: 64.349706 samples/sec accuracy=39.709821 loss=2.649931 lr=0.107639 Epoch[040] Batch [0399]/[3759] Speed: 64.684121 samples/sec accuracy=39.351562 loss=2.669053 lr=0.107635 Epoch[040] Batch [0449]/[3759] Speed: 64.511187 samples/sec accuracy=39.364583 loss=2.666443 lr=0.107631 Epoch[040] Batch [0499]/[3759] Speed: 64.328288 samples/sec accuracy=39.353125 loss=2.667317 lr=0.107627 Epoch[040] Batch [0549]/[3759] Speed: 64.553466 samples/sec accuracy=39.187500 loss=2.673800 lr=0.107623 Epoch[040] Batch [0599]/[3759] Speed: 64.180521 samples/sec accuracy=39.223958 loss=2.672068 lr=0.107620 Epoch[040] Batch [0649]/[3759] Speed: 64.471774 samples/sec accuracy=39.115385 loss=2.674064 lr=0.107616 Epoch[040] Batch [0699]/[3759] Speed: 64.842859 samples/sec accuracy=39.113839 loss=2.674637 lr=0.107612 Epoch[040] Batch [0749]/[3759] Speed: 64.310458 samples/sec accuracy=39.085417 loss=2.677644 lr=0.107608 Epoch[040] Batch [0799]/[3759] Speed: 64.271087 samples/sec accuracy=39.171875 loss=2.674882 lr=0.107604 Epoch[040] Batch [0849]/[3759] Speed: 65.030495 samples/sec accuracy=39.156250 loss=2.677099 lr=0.107600 Epoch[040] Batch [0899]/[3759] Speed: 64.367720 samples/sec accuracy=39.239583 loss=2.672283 lr=0.107596 Epoch[040] Batch [0949]/[3759] Speed: 64.109735 samples/sec accuracy=39.250000 loss=2.673931 lr=0.107592 Epoch[040] Batch [0999]/[3759] Speed: 64.761781 samples/sec accuracy=39.200000 loss=2.674914 lr=0.107588 Epoch[040] Batch [1049]/[3759] Speed: 64.629684 samples/sec accuracy=39.193452 loss=2.673733 lr=0.107584 Epoch[040] Batch [1099]/[3759] Speed: 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lr=0.107545 Epoch[040] Batch [1599]/[3759] Speed: 64.565757 samples/sec accuracy=39.113281 loss=2.678456 lr=0.107541 Epoch[040] Batch [1649]/[3759] Speed: 64.259554 samples/sec accuracy=39.092803 loss=2.680182 lr=0.107537 Epoch[040] Batch [1699]/[3759] Speed: 64.468561 samples/sec accuracy=39.083640 loss=2.681228 lr=0.107533 Epoch[040] Batch [1749]/[3759] Speed: 64.319846 samples/sec accuracy=39.054464 loss=2.683883 lr=0.107529 Epoch[040] Batch [1799]/[3759] Speed: 64.994977 samples/sec accuracy=39.060764 loss=2.684062 lr=0.107525 Epoch[040] Batch [1849]/[3759] Speed: 63.991741 samples/sec accuracy=39.031250 loss=2.685938 lr=0.107521 Epoch[040] Batch [1899]/[3759] Speed: 64.480864 samples/sec accuracy=39.034539 loss=2.686480 lr=0.107517 Epoch[040] Batch [1949]/[3759] Speed: 64.753502 samples/sec accuracy=39.046474 loss=2.685375 lr=0.107513 Epoch[040] Batch [1999]/[3759] Speed: 64.196224 samples/sec accuracy=39.012500 loss=2.686323 lr=0.107509 Epoch[040] Batch [2049]/[3759] Speed: 64.691448 samples/sec accuracy=39.019817 loss=2.686585 lr=0.107506 Epoch[040] Batch [2099]/[3759] Speed: 64.229567 samples/sec accuracy=39.003720 loss=2.687277 lr=0.107502 Epoch[040] Batch [2149]/[3759] Speed: 64.987850 samples/sec accuracy=39.040698 loss=2.685633 lr=0.107498 Epoch[040] Batch [2199]/[3759] Speed: 64.087429 samples/sec accuracy=39.031250 loss=2.686289 lr=0.107494 Epoch[040] Batch [2249]/[3759] Speed: 64.878021 samples/sec accuracy=39.036111 loss=2.685908 lr=0.107490 Epoch[040] Batch [2299]/[3759] Speed: 64.327677 samples/sec accuracy=39.039402 loss=2.686537 lr=0.107486 Epoch[040] Batch [2349]/[3759] Speed: 64.225544 samples/sec accuracy=39.043883 loss=2.686609 lr=0.107482 Epoch[040] Batch [2399]/[3759] Speed: 64.933837 samples/sec accuracy=39.049479 loss=2.686273 lr=0.107478 Epoch[040] Batch [2449]/[3759] Speed: 64.089179 samples/sec accuracy=39.061224 loss=2.685607 lr=0.107474 Epoch[040] Batch [2499]/[3759] Speed: 64.799820 samples/sec accuracy=39.045625 loss=2.686515 lr=0.107470 Epoch[040] Batch [2549]/[3759] Speed: 64.439561 samples/sec accuracy=39.009191 loss=2.688209 lr=0.107466 Epoch[040] Batch [2599]/[3759] Speed: 64.105477 samples/sec accuracy=38.989784 loss=2.689167 lr=0.107462 Epoch[040] Batch [2649]/[3759] Speed: 64.575918 samples/sec accuracy=38.973467 loss=2.690664 lr=0.107458 Epoch[040] Batch [2699]/[3759] Speed: 64.151584 samples/sec accuracy=38.995949 loss=2.689635 lr=0.107454 Epoch[040] Batch [2749]/[3759] Speed: 64.322510 samples/sec accuracy=38.969886 loss=2.690655 lr=0.107450 Epoch[040] Batch [2799]/[3759] Speed: 64.644478 samples/sec accuracy=38.939732 loss=2.692347 lr=0.107445 Epoch[040] Batch [2849]/[3759] Speed: 64.282712 samples/sec accuracy=38.926535 loss=2.692781 lr=0.107441 Epoch[040] Batch [2899]/[3759] Speed: 64.294839 samples/sec accuracy=38.925108 loss=2.693270 lr=0.107437 Epoch[040] Batch [2949]/[3759] Speed: 64.741845 samples/sec accuracy=38.909958 loss=2.694421 lr=0.107433 Epoch[040] Batch [2999]/[3759] Speed: 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lr=0.107393 Epoch[040] Batch [3499]/[3759] Speed: 65.167494 samples/sec accuracy=38.857589 loss=2.697018 lr=0.107389 Epoch[040] Batch [3549]/[3759] Speed: 64.654957 samples/sec accuracy=38.859155 loss=2.697219 lr=0.107385 Epoch[040] Batch [3599]/[3759] Speed: 63.925269 samples/sec accuracy=38.861545 loss=2.697026 lr=0.107381 Epoch[040] Batch [3649]/[3759] Speed: 64.985607 samples/sec accuracy=38.860445 loss=2.697351 lr=0.107377 Epoch[040] Batch [3699]/[3759] Speed: 64.021274 samples/sec accuracy=38.854730 loss=2.697485 lr=0.107373 Epoch[040] Batch [3749]/[3759] Speed: 68.170582 samples/sec accuracy=38.849167 loss=2.697667 lr=0.107368 Batch [0049]/[0303]: acc-top1=38.156250 acc-top5=66.000000 Batch [0099]/[0303]: acc-top1=38.218750 acc-top5=65.718750 Batch [0149]/[0303]: acc-top1=38.114583 acc-top5=65.718750 Batch [0199]/[0303]: acc-top1=38.250000 acc-top5=65.695312 Batch [0249]/[0303]: acc-top1=38.250000 acc-top5=65.818750 Batch [0299]/[0303]: acc-top1=38.208333 acc-top5=65.671875 [Epoch 040] training: accuracy=38.841364 loss=2.697806 [Epoch 040] speed: 64 samples/sec time cost: 4046.961193 [Epoch 040] validation: acc-top1=38.247731 acc-top5=65.676568 loss=2.961950 Epoch[041] Batch [0049]/[3760] Speed: 43.109564 samples/sec accuracy=38.468750 loss=2.736986 lr=0.107364 Epoch[041] Batch [0099]/[3760] Speed: 63.000977 samples/sec accuracy=39.468750 loss=2.695243 lr=0.107360 Epoch[041] Batch [0149]/[3760] Speed: 64.164486 samples/sec accuracy=39.833333 loss=2.686226 lr=0.107355 Epoch[041] Batch [0199]/[3760] Speed: 64.489050 samples/sec accuracy=39.687500 loss=2.686719 lr=0.107351 Epoch[041] Batch [0249]/[3760] Speed: 64.949506 samples/sec accuracy=39.793750 loss=2.687467 lr=0.107347 Epoch[041] Batch [0299]/[3760] Speed: 64.031417 samples/sec accuracy=39.697917 loss=2.685847 lr=0.107343 Epoch[041] Batch [0349]/[3760] Speed: 64.821515 samples/sec accuracy=39.790179 loss=2.686352 lr=0.107339 Epoch[041] Batch [0399]/[3760] Speed: 64.712216 samples/sec accuracy=39.859375 loss=2.682531 lr=0.107335 Epoch[041] Batch [0449]/[3760] Speed: 64.171815 samples/sec accuracy=39.760417 loss=2.682046 lr=0.107331 Epoch[041] Batch [0499]/[3760] Speed: 65.199491 samples/sec accuracy=39.878125 loss=2.676091 lr=0.107327 Epoch[041] Batch [0549]/[3760] Speed: 64.070111 samples/sec accuracy=39.909091 loss=2.670596 lr=0.107323 Epoch[041] Batch [0599]/[3760] Speed: 64.120977 samples/sec accuracy=39.817708 loss=2.673099 lr=0.107318 Epoch[041] Batch [0649]/[3760] Speed: 64.713286 samples/sec accuracy=39.858173 loss=2.672375 lr=0.107314 Epoch[041] Batch [0699]/[3760] Speed: 65.161490 samples/sec accuracy=39.959821 loss=2.666872 lr=0.107310 Epoch[041] Batch [0749]/[3760] Speed: 64.418456 samples/sec accuracy=39.887500 loss=2.668620 lr=0.107306 Epoch[041] Batch [0799]/[3760] Speed: 64.853376 samples/sec accuracy=39.951172 loss=2.666592 lr=0.107302 Epoch[041] Batch [0849]/[3760] Speed: 64.296534 samples/sec accuracy=40.001838 loss=2.664583 lr=0.107298 Epoch[041] Batch [0899]/[3760] Speed: 64.155062 samples/sec accuracy=39.954861 loss=2.665107 lr=0.107294 Epoch[041] Batch [0949]/[3760] Speed: 64.883547 samples/sec accuracy=39.955592 loss=2.665078 lr=0.107290 Epoch[041] Batch [0999]/[3760] Speed: 64.387383 samples/sec accuracy=39.948437 loss=2.665374 lr=0.107285 Epoch[041] Batch [1049]/[3760] Speed: 64.594044 samples/sec accuracy=39.861607 loss=2.668111 lr=0.107281 Epoch[041] Batch [1099]/[3760] Speed: 64.105352 samples/sec accuracy=39.863636 loss=2.666922 lr=0.107277 Epoch[041] Batch [1149]/[3760] Speed: 64.321560 samples/sec accuracy=39.813859 loss=2.668004 lr=0.107273 Epoch[041] Batch [1199]/[3760] Speed: 64.867658 samples/sec accuracy=39.727865 loss=2.670412 lr=0.107269 Epoch[041] Batch [1249]/[3760] Speed: 64.193995 samples/sec accuracy=39.686250 loss=2.672710 lr=0.107265 Epoch[041] Batch [1299]/[3760] Speed: 64.009156 samples/sec accuracy=39.730769 loss=2.670823 lr=0.107260 Epoch[041] Batch [1349]/[3760] Speed: 64.641831 samples/sec accuracy=39.657407 loss=2.673479 lr=0.107256 Epoch[041] Batch [1399]/[3760] Speed: 63.885629 samples/sec accuracy=39.621652 loss=2.674264 lr=0.107252 Epoch[041] Batch [1449]/[3760] Speed: 64.146938 samples/sec accuracy=39.598060 loss=2.675588 lr=0.107248 Epoch[041] Batch [1499]/[3760] Speed: 64.560663 samples/sec accuracy=39.597917 loss=2.675159 lr=0.107244 Epoch[041] Batch [1549]/[3760] Speed: 64.403226 samples/sec accuracy=39.546371 loss=2.674889 lr=0.107240 Epoch[041] Batch [1599]/[3760] Speed: 64.266302 samples/sec accuracy=39.527344 loss=2.676219 lr=0.107235 Epoch[041] Batch [1649]/[3760] Speed: 64.643128 samples/sec accuracy=39.533144 loss=2.675936 lr=0.107231 Epoch[041] Batch [1699]/[3760] Speed: 64.845358 samples/sec accuracy=39.500919 loss=2.678516 lr=0.107227 Epoch[041] Batch [1749]/[3760] Speed: 64.040432 samples/sec accuracy=39.509821 loss=2.678486 lr=0.107223 Epoch[041] Batch [1799]/[3760] Speed: 64.360456 samples/sec accuracy=39.459201 loss=2.679643 lr=0.107219 Epoch[041] Batch [1849]/[3760] Speed: 64.681607 samples/sec accuracy=39.452703 loss=2.679126 lr=0.107214 Epoch[041] Batch [1899]/[3760] Speed: 63.924011 samples/sec accuracy=39.431743 loss=2.678937 lr=0.107210 Epoch[041] Batch [1949]/[3760] Speed: 64.755353 samples/sec accuracy=39.423878 loss=2.678993 lr=0.107206 Epoch[041] Batch [1999]/[3760] Speed: 64.441892 samples/sec accuracy=39.408594 loss=2.679584 lr=0.107202 Epoch[041] Batch [2049]/[3760] Speed: 64.092408 samples/sec accuracy=39.367378 loss=2.680326 lr=0.107198 Epoch[041] Batch [2099]/[3760] Speed: 64.983323 samples/sec accuracy=39.340030 loss=2.680238 lr=0.107193 Epoch[041] Batch [2149]/[3760] Speed: 63.983125 samples/sec accuracy=39.348110 loss=2.679913 lr=0.107189 Epoch[041] Batch [2199]/[3760] Speed: 63.967600 samples/sec accuracy=39.348011 loss=2.680171 lr=0.107185 Epoch[041] Batch [2249]/[3760] Speed: 65.333812 samples/sec accuracy=39.340278 loss=2.680220 lr=0.107181 Epoch[041] Batch [2299]/[3760] Speed: 63.753347 samples/sec accuracy=39.362772 loss=2.680185 lr=0.107177 Epoch[041] Batch [2349]/[3760] Speed: 64.866887 samples/sec accuracy=39.340426 loss=2.681473 lr=0.107172 Epoch[041] Batch [2399]/[3760] Speed: 64.407856 samples/sec accuracy=39.309245 loss=2.682359 lr=0.107168 Epoch[041] Batch [2449]/[3760] Speed: 64.277591 samples/sec accuracy=39.304209 loss=2.682661 lr=0.107164 Epoch[041] Batch [2499]/[3760] Speed: 64.447774 samples/sec accuracy=39.298750 loss=2.682872 lr=0.107160 Epoch[041] Batch [2549]/[3760] Speed: 64.372233 samples/sec accuracy=39.287990 loss=2.683640 lr=0.107155 Epoch[041] Batch [2599]/[3760] Speed: 64.184909 samples/sec accuracy=39.270433 loss=2.684396 lr=0.107151 Epoch[041] Batch [2649]/[3760] Speed: 64.524542 samples/sec accuracy=39.250590 loss=2.684572 lr=0.107147 Epoch[041] Batch [2699]/[3760] Speed: 64.294128 samples/sec accuracy=39.241898 loss=2.685102 lr=0.107143 Epoch[041] Batch [2749]/[3760] Speed: 64.412436 samples/sec accuracy=39.238068 loss=2.684459 lr=0.107138 Epoch[041] Batch [2799]/[3760] Speed: 64.720994 samples/sec accuracy=39.251674 loss=2.684533 lr=0.107134 Epoch[041] Batch [2849]/[3760] Speed: 64.511669 samples/sec accuracy=39.248904 loss=2.685185 lr=0.107130 Epoch[041] Batch [2899]/[3760] Speed: 64.115125 samples/sec accuracy=39.237608 loss=2.686036 lr=0.107126 Epoch[041] Batch [2949]/[3760] Speed: 64.603112 samples/sec accuracy=39.234110 loss=2.685861 lr=0.107121 Epoch[041] Batch [2999]/[3760] Speed: 63.820732 samples/sec accuracy=39.213542 loss=2.686663 lr=0.107117 Epoch[041] Batch [3049]/[3760] Speed: 64.474817 samples/sec accuracy=39.200820 loss=2.687166 lr=0.107113 Epoch[041] Batch [3099]/[3760] Speed: 64.674983 samples/sec accuracy=39.188508 loss=2.687625 lr=0.107109 Epoch[041] Batch [3149]/[3760] Speed: 64.094563 samples/sec accuracy=39.200893 loss=2.686912 lr=0.107104 Epoch[041] Batch [3199]/[3760] Speed: 64.400500 samples/sec accuracy=39.163574 loss=2.688181 lr=0.107100 Epoch[041] Batch [3249]/[3760] Speed: 64.828558 samples/sec accuracy=39.162500 loss=2.687597 lr=0.107096 Epoch[041] Batch [3299]/[3760] Speed: 64.823330 samples/sec accuracy=39.151042 loss=2.687954 lr=0.107091 Epoch[041] Batch [3349]/[3760] Speed: 64.108844 samples/sec accuracy=39.149254 loss=2.687869 lr=0.107087 Epoch[041] Batch [3399]/[3760] Speed: 65.040301 samples/sec accuracy=39.153033 loss=2.688409 lr=0.107083 Epoch[041] Batch [3449]/[3760] Speed: 64.232743 samples/sec accuracy=39.152627 loss=2.688508 lr=0.107079 Epoch[041] Batch [3499]/[3760] Speed: 63.408871 samples/sec accuracy=39.170089 loss=2.687163 lr=0.107074 Epoch[041] Batch [3549]/[3760] Speed: 65.042088 samples/sec accuracy=39.148768 loss=2.688595 lr=0.107070 Epoch[041] Batch [3599]/[3760] Speed: 64.306602 samples/sec accuracy=39.137153 loss=2.688653 lr=0.107066 Epoch[041] Batch [3649]/[3760] Speed: 64.890119 samples/sec accuracy=39.106164 loss=2.689789 lr=0.107061 Epoch[041] Batch [3699]/[3760] Speed: 64.177070 samples/sec accuracy=39.102196 loss=2.689817 lr=0.107057 Epoch[041] Batch [3749]/[3760] Speed: 67.534510 samples/sec accuracy=39.080000 loss=2.690251 lr=0.107053 Batch [0049]/[0303]: acc-top1=38.562500 acc-top5=67.406250 Batch [0099]/[0303]: acc-top1=39.296875 acc-top5=67.109375 Batch [0149]/[0303]: acc-top1=38.958333 acc-top5=66.854167 Batch [0199]/[0303]: acc-top1=39.117188 acc-top5=66.578125 Batch [0249]/[0303]: acc-top1=39.350000 acc-top5=66.862500 Batch [0299]/[0303]: acc-top1=39.500000 acc-top5=66.817708 [Epoch 041] training: accuracy=39.077876 loss=2.690389 [Epoch 041] speed: 64 samples/sec time cost: 4046.122858 [Epoch 041] validation: acc-top1=39.500825 acc-top5=66.862624 loss=2.893180 Epoch[042] Batch [0049]/[3760] Speed: 42.536878 samples/sec accuracy=39.593750 loss=2.630254 lr=0.107048 Epoch[042] Batch [0099]/[3760] Speed: 63.682296 samples/sec accuracy=39.796875 loss=2.640972 lr=0.107043 Epoch[042] Batch [0149]/[3760] Speed: 64.363304 samples/sec accuracy=39.666667 loss=2.644290 lr=0.107039 Epoch[042] Batch [0199]/[3760] Speed: 63.993483 samples/sec accuracy=39.421875 loss=2.658021 lr=0.107035 Epoch[042] Batch [0249]/[3760] Speed: 64.817265 samples/sec accuracy=39.550000 loss=2.650908 lr=0.107030 Epoch[042] Batch [0299]/[3760] Speed: 64.688400 samples/sec accuracy=39.489583 loss=2.651837 lr=0.107026 Epoch[042] Batch [0349]/[3760] Speed: 64.647581 samples/sec accuracy=39.433036 loss=2.656646 lr=0.107022 Epoch[042] Batch [0399]/[3760] Speed: 64.409692 samples/sec accuracy=39.371094 loss=2.659051 lr=0.107017 Epoch[042] Batch [0449]/[3760] Speed: 64.144352 samples/sec accuracy=39.465278 loss=2.655806 lr=0.107013 Epoch[042] Batch [0499]/[3760] Speed: 64.887664 samples/sec accuracy=39.418750 loss=2.659326 lr=0.107009 Epoch[042] Batch [0549]/[3760] Speed: 64.448995 samples/sec accuracy=39.431818 loss=2.664365 lr=0.107004 Epoch[042] Batch [0599]/[3760] Speed: 64.267788 samples/sec accuracy=39.424479 loss=2.664312 lr=0.107000 Epoch[042] Batch [0649]/[3760] Speed: 64.446682 samples/sec accuracy=39.461538 loss=2.662276 lr=0.106995 Epoch[042] Batch [0699]/[3760] Speed: 64.267608 samples/sec accuracy=39.464286 loss=2.662476 lr=0.106991 Epoch[042] Batch [0749]/[3760] Speed: 64.239699 samples/sec accuracy=39.443750 loss=2.664385 lr=0.106987 Epoch[042] Batch [0799]/[3760] Speed: 64.326334 samples/sec accuracy=39.423828 loss=2.665438 lr=0.106982 Epoch[042] Batch [0849]/[3760] Speed: 64.395907 samples/sec accuracy=39.376838 loss=2.666380 lr=0.106978 Epoch[042] Batch [0899]/[3760] Speed: 63.842675 samples/sec accuracy=39.355903 loss=2.665174 lr=0.106974 Epoch[042] Batch [0949]/[3760] Speed: 64.875773 samples/sec accuracy=39.353618 loss=2.664871 lr=0.106969 Epoch[042] Batch [0999]/[3760] Speed: 64.432332 samples/sec accuracy=39.281250 loss=2.671000 lr=0.106965 Epoch[042] Batch [1049]/[3760] Speed: 63.849708 samples/sec accuracy=39.263393 loss=2.671614 lr=0.106961 Epoch[042] Batch [1099]/[3760] Speed: 64.946242 samples/sec accuracy=39.262784 loss=2.671833 lr=0.106956 Epoch[042] Batch [1149]/[3760] Speed: 64.422205 samples/sec accuracy=39.297554 loss=2.672394 lr=0.106952 Epoch[042] Batch [1199]/[3760] Speed: 64.612265 samples/sec accuracy=39.307292 loss=2.672381 lr=0.106947 Epoch[042] Batch [1249]/[3760] Speed: 64.006907 samples/sec accuracy=39.291250 loss=2.672579 lr=0.106943 Epoch[042] Batch [1299]/[3760] Speed: 64.196153 samples/sec accuracy=39.247596 loss=2.673844 lr=0.106939 Epoch[042] Batch [1349]/[3760] Speed: 64.820450 samples/sec accuracy=39.251157 loss=2.672974 lr=0.106934 Epoch[042] Batch [1399]/[3760] Speed: 64.415049 samples/sec accuracy=39.238839 loss=2.672144 lr=0.106930 Epoch[042] Batch [1449]/[3760] Speed: 64.211288 samples/sec accuracy=39.176724 loss=2.673372 lr=0.106925 Epoch[042] Batch [1499]/[3760] Speed: 64.496106 samples/sec accuracy=39.162500 loss=2.674351 lr=0.106921 Epoch[042] Batch [1549]/[3760] Speed: 64.099120 samples/sec accuracy=39.215726 loss=2.672009 lr=0.106917 Epoch[042] Batch [1599]/[3760] Speed: 64.061286 samples/sec accuracy=39.175781 loss=2.673404 lr=0.106912 Epoch[042] Batch [1649]/[3760] Speed: 64.700181 samples/sec accuracy=39.153409 loss=2.674340 lr=0.106908 Epoch[042] Batch [1699]/[3760] Speed: 64.421024 samples/sec accuracy=39.140625 loss=2.675513 lr=0.106903 Epoch[042] Batch [1749]/[3760] Speed: 64.202608 samples/sec accuracy=39.120536 loss=2.676592 lr=0.106899 Epoch[042] Batch [1799]/[3760] Speed: 64.732959 samples/sec accuracy=39.109375 loss=2.675346 lr=0.106894 Epoch[042] Batch [1849]/[3760] Speed: 64.335003 samples/sec accuracy=39.103885 loss=2.675032 lr=0.106890 Epoch[042] Batch [1899]/[3760] Speed: 64.801990 samples/sec accuracy=39.097039 loss=2.676495 lr=0.106886 Epoch[042] Batch [1949]/[3760] Speed: 64.224247 samples/sec accuracy=39.083333 loss=2.677030 lr=0.106881 Epoch[042] Batch [1999]/[3760] Speed: 64.133772 samples/sec accuracy=39.144531 loss=2.674854 lr=0.106877 Epoch[042] Batch [2049]/[3760] Speed: 64.460963 samples/sec accuracy=39.179116 loss=2.673052 lr=0.106872 Epoch[042] Batch [2099]/[3760] Speed: 64.580733 samples/sec accuracy=39.178571 loss=2.673376 lr=0.106868 Epoch[042] Batch [2149]/[3760] Speed: 64.497929 samples/sec accuracy=39.225291 loss=2.671632 lr=0.106863 Epoch[042] Batch [2199]/[3760] Speed: 64.481228 samples/sec accuracy=39.219460 loss=2.672158 lr=0.106859 Epoch[042] Batch [2249]/[3760] Speed: 64.467794 samples/sec accuracy=39.218056 loss=2.672601 lr=0.106855 Epoch[042] Batch [2299]/[3760] Speed: 64.255463 samples/sec accuracy=39.194973 loss=2.672603 lr=0.106850 Epoch[042] Batch [2349]/[3760] Speed: 64.739560 samples/sec accuracy=39.172872 loss=2.672980 lr=0.106846 Epoch[042] Batch [2399]/[3760] Speed: 65.151950 samples/sec accuracy=39.167318 loss=2.673846 lr=0.106841 Epoch[042] Batch [2449]/[3760] Speed: 63.702657 samples/sec accuracy=39.152423 loss=2.675175 lr=0.106837 Epoch[042] Batch [2499]/[3760] Speed: 64.652233 samples/sec accuracy=39.126250 loss=2.675702 lr=0.106832 Epoch[042] Batch [2549]/[3760] Speed: 64.666819 samples/sec accuracy=39.136029 loss=2.675681 lr=0.106828 Epoch[042] Batch [2599]/[3760] Speed: 64.930552 samples/sec accuracy=39.128005 loss=2.675692 lr=0.106823 Epoch[042] Batch [2649]/[3760] Speed: 64.464692 samples/sec accuracy=39.109080 loss=2.677431 lr=0.106819 Epoch[042] Batch [2699]/[3760] Speed: 64.074758 samples/sec accuracy=39.092014 loss=2.679062 lr=0.106814 Epoch[042] Batch [2749]/[3760] Speed: 64.486171 samples/sec accuracy=39.102273 loss=2.679178 lr=0.106810 Epoch[042] Batch [2799]/[3760] Speed: 64.548153 samples/sec accuracy=39.084263 loss=2.680305 lr=0.106805 Epoch[042] Batch [2849]/[3760] Speed: 64.163868 samples/sec accuracy=39.061952 loss=2.681071 lr=0.106801 Epoch[042] Batch [2899]/[3760] Speed: 64.982863 samples/sec accuracy=39.066810 loss=2.681283 lr=0.106796 Epoch[042] Batch [2949]/[3760] Speed: 64.097438 samples/sec accuracy=39.049258 loss=2.681387 lr=0.106792 Epoch[042] Batch [2999]/[3760] Speed: 64.009074 samples/sec accuracy=39.058333 loss=2.681609 lr=0.106787 Epoch[042] Batch [3049]/[3760] Speed: 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lr=0.106742 Epoch[042] Batch [3549]/[3760] Speed: 64.236436 samples/sec accuracy=39.059419 loss=2.683914 lr=0.106738 Epoch[042] Batch [3599]/[3760] Speed: 64.634314 samples/sec accuracy=39.065972 loss=2.683725 lr=0.106733 Epoch[042] Batch [3649]/[3760] Speed: 64.280798 samples/sec accuracy=39.049229 loss=2.684077 lr=0.106729 Epoch[042] Batch [3699]/[3760] Speed: 64.101604 samples/sec accuracy=39.040118 loss=2.684151 lr=0.106724 Epoch[042] Batch [3749]/[3760] Speed: 68.302118 samples/sec accuracy=39.016667 loss=2.684908 lr=0.106720 Batch [0049]/[0303]: acc-top1=37.968750 acc-top5=65.406250 Batch [0099]/[0303]: acc-top1=38.140625 acc-top5=65.093750 Batch [0149]/[0303]: acc-top1=38.031250 acc-top5=65.125000 Batch [0199]/[0303]: acc-top1=38.007812 acc-top5=65.281250 Batch [0249]/[0303]: acc-top1=38.187500 acc-top5=65.425000 Batch [0299]/[0303]: acc-top1=38.125000 acc-top5=65.473958 [Epoch 042] training: accuracy=39.024269 loss=2.684566 [Epoch 042] speed: 64 samples/sec time cost: 4048.705427 [Epoch 042] validation: acc-top1=38.206477 acc-top5=65.527021 loss=3.134659 Epoch[043] Batch [0049]/[3759] Speed: 42.293531 samples/sec accuracy=40.843750 loss=2.600685 lr=0.106714 Epoch[043] Batch [0099]/[3759] Speed: 62.600897 samples/sec accuracy=40.078125 loss=2.628955 lr=0.106710 Epoch[043] Batch [0149]/[3759] Speed: 64.707180 samples/sec accuracy=40.010417 loss=2.636499 lr=0.106705 Epoch[043] Batch [0199]/[3759] Speed: 64.479033 samples/sec accuracy=39.906250 loss=2.632381 lr=0.106700 Epoch[043] Batch [0249]/[3759] Speed: 64.555839 samples/sec accuracy=39.912500 loss=2.637964 lr=0.106696 Epoch[043] Batch [0299]/[3759] Speed: 64.990680 samples/sec accuracy=40.020833 loss=2.638378 lr=0.106691 Epoch[043] Batch [0349]/[3759] Speed: 64.414706 samples/sec accuracy=39.946429 loss=2.638809 lr=0.106687 Epoch[043] Batch [0399]/[3759] Speed: 64.364781 samples/sec accuracy=40.125000 loss=2.633227 lr=0.106682 Epoch[043] Batch [0449]/[3759] Speed: 64.682078 samples/sec accuracy=40.072917 loss=2.635114 lr=0.106678 Epoch[043] Batch [0499]/[3759] Speed: 64.398592 samples/sec accuracy=39.925000 loss=2.636306 lr=0.106673 Epoch[043] Batch [0549]/[3759] Speed: 64.116414 samples/sec accuracy=39.960227 loss=2.636654 lr=0.106668 Epoch[043] Batch [0599]/[3759] Speed: 64.695348 samples/sec accuracy=39.903646 loss=2.641850 lr=0.106664 Epoch[043] Batch [0649]/[3759] Speed: 63.870214 samples/sec accuracy=39.899038 loss=2.642545 lr=0.106659 Epoch[043] Batch [0699]/[3759] Speed: 65.066890 samples/sec accuracy=39.872768 loss=2.643228 lr=0.106655 Epoch[043] Batch [0749]/[3759] Speed: 64.685906 samples/sec accuracy=39.812500 loss=2.647850 lr=0.106650 Epoch[043] Batch [0799]/[3759] Speed: 64.032228 samples/sec accuracy=39.775391 loss=2.649845 lr=0.106645 Epoch[043] Batch [0849]/[3759] Speed: 63.991970 samples/sec accuracy=39.672794 loss=2.653645 lr=0.106641 Epoch[043] Batch [0899]/[3759] Speed: 64.454952 samples/sec accuracy=39.590278 loss=2.654773 lr=0.106636 Epoch[043] Batch [0949]/[3759] Speed: 64.345929 samples/sec accuracy=39.680921 loss=2.651846 lr=0.106632 Epoch[043] Batch [0999]/[3759] Speed: 64.659246 samples/sec accuracy=39.650000 loss=2.651222 lr=0.106627 Epoch[043] Batch [1049]/[3759] Speed: 64.445900 samples/sec accuracy=39.678571 loss=2.652081 lr=0.106622 Epoch[043] Batch [1099]/[3759] Speed: 65.020349 samples/sec accuracy=39.589489 loss=2.653774 lr=0.106618 Epoch[043] Batch [1149]/[3759] Speed: 64.498631 samples/sec accuracy=39.639946 loss=2.651143 lr=0.106613 Epoch[043] Batch [1199]/[3759] Speed: 63.880502 samples/sec accuracy=39.627604 loss=2.650797 lr=0.106609 Epoch[043] Batch [1249]/[3759] Speed: 64.680468 samples/sec accuracy=39.668750 loss=2.651390 lr=0.106604 Epoch[043] Batch [1299]/[3759] Speed: 64.339963 samples/sec accuracy=39.658654 loss=2.651936 lr=0.106599 Epoch[043] Batch [1349]/[3759] Speed: 64.659422 samples/sec accuracy=39.703704 loss=2.653191 lr=0.106595 Epoch[043] Batch [1399]/[3759] Speed: 64.565336 samples/sec accuracy=39.704241 loss=2.653316 lr=0.106590 Epoch[043] Batch [1449]/[3759] Speed: 64.474778 samples/sec accuracy=39.701509 loss=2.654620 lr=0.106585 Epoch[043] Batch [1499]/[3759] Speed: 64.897912 samples/sec accuracy=39.698958 loss=2.654919 lr=0.106581 Epoch[043] Batch [1549]/[3759] Speed: 64.554768 samples/sec accuracy=39.674395 loss=2.656586 lr=0.106576 Epoch[043] Batch [1599]/[3759] Speed: 64.279593 samples/sec accuracy=39.639648 loss=2.657834 lr=0.106572 Epoch[043] Batch [1649]/[3759] Speed: 64.761126 samples/sec accuracy=39.618371 loss=2.658790 lr=0.106567 Epoch[043] Batch [1699]/[3759] Speed: 64.095329 samples/sec accuracy=39.590993 loss=2.659943 lr=0.106562 Epoch[043] Batch [1749]/[3759] Speed: 64.712075 samples/sec accuracy=39.583036 loss=2.660744 lr=0.106558 Epoch[043] Batch [1799]/[3759] Speed: 64.600160 samples/sec accuracy=39.591146 loss=2.660312 lr=0.106553 Epoch[043] Batch [1849]/[3759] Speed: 64.595722 samples/sec accuracy=39.562500 loss=2.662319 lr=0.106548 Epoch[043] Batch [1899]/[3759] Speed: 64.639114 samples/sec accuracy=39.529605 loss=2.663705 lr=0.106544 Epoch[043] Batch [1949]/[3759] Speed: 64.225441 samples/sec accuracy=39.507212 loss=2.664632 lr=0.106539 Epoch[043] Batch [1999]/[3759] Speed: 64.424464 samples/sec accuracy=39.509375 loss=2.664964 lr=0.106534 Epoch[043] Batch [2049]/[3759] Speed: 64.228707 samples/sec accuracy=39.534299 loss=2.664196 lr=0.106530 Epoch[043] Batch [2099]/[3759] Speed: 64.764315 samples/sec accuracy=39.514137 loss=2.666193 lr=0.106525 Epoch[043] Batch [2149]/[3759] Speed: 64.292057 samples/sec accuracy=39.494186 loss=2.668081 lr=0.106520 Epoch[043] Batch [2199]/[3759] Speed: 65.175918 samples/sec accuracy=39.446733 loss=2.670223 lr=0.106516 Epoch[043] Batch [2249]/[3759] Speed: 64.538019 samples/sec accuracy=39.424306 loss=2.671034 lr=0.106511 Epoch[043] Batch [2299]/[3759] Speed: 64.540723 samples/sec accuracy=39.402853 loss=2.672719 lr=0.106506 Epoch[043] Batch [2349]/[3759] Speed: 64.109910 samples/sec accuracy=39.399601 loss=2.672264 lr=0.106502 Epoch[043] Batch [2399]/[3759] Speed: 64.258203 samples/sec accuracy=39.401693 loss=2.672463 lr=0.106497 Epoch[043] Batch [2449]/[3759] Speed: 64.807903 samples/sec accuracy=39.395408 loss=2.672623 lr=0.106492 Epoch[043] Batch [2499]/[3759] Speed: 64.406107 samples/sec accuracy=39.386875 loss=2.673577 lr=0.106487 Epoch[043] Batch [2549]/[3759] Speed: 64.246569 samples/sec accuracy=39.362745 loss=2.675793 lr=0.106483 Epoch[043] Batch [2599]/[3759] Speed: 64.988487 samples/sec accuracy=39.341947 loss=2.676942 lr=0.106478 Epoch[043] Batch [2649]/[3759] Speed: 64.279175 samples/sec accuracy=39.355542 loss=2.676052 lr=0.106473 Epoch[043] Batch [2699]/[3759] Speed: 64.536808 samples/sec accuracy=39.377894 loss=2.675337 lr=0.106469 Epoch[043] Batch [2749]/[3759] Speed: 64.198258 samples/sec accuracy=39.373295 loss=2.675372 lr=0.106464 Epoch[043] Batch [2799]/[3759] Speed: 64.482572 samples/sec accuracy=39.369420 loss=2.675798 lr=0.106459 Epoch[043] Batch [2849]/[3759] Speed: 64.656227 samples/sec accuracy=39.382675 loss=2.675238 lr=0.106455 Epoch[043] Batch [2899]/[3759] Speed: 64.405911 samples/sec accuracy=39.385237 loss=2.675421 lr=0.106450 Epoch[043] Batch [2949]/[3759] Speed: 63.874212 samples/sec accuracy=39.387712 loss=2.675502 lr=0.106445 Epoch[043] Batch [2999]/[3759] Speed: 64.630341 samples/sec accuracy=39.376562 loss=2.676247 lr=0.106440 Epoch[043] Batch [3049]/[3759] Speed: 64.489526 samples/sec accuracy=39.366291 loss=2.677123 lr=0.106436 Epoch[043] Batch [3099]/[3759] Speed: 64.260501 samples/sec accuracy=39.382560 loss=2.676809 lr=0.106431 Epoch[043] Batch [3149]/[3759] Speed: 64.108940 samples/sec accuracy=39.382440 loss=2.676020 lr=0.106426 Epoch[043] Batch [3199]/[3759] Speed: 64.220073 samples/sec accuracy=39.368164 loss=2.676759 lr=0.106421 Epoch[043] Batch [3249]/[3759] Speed: 64.712105 samples/sec accuracy=39.374038 loss=2.675379 lr=0.106417 Epoch[043] Batch [3299]/[3759] Speed: 64.468776 samples/sec accuracy=39.367424 loss=2.675617 lr=0.106412 Epoch[043] Batch [3349]/[3759] Speed: 64.176866 samples/sec accuracy=39.353545 loss=2.675874 lr=0.106407 Epoch[043] Batch [3399]/[3759] Speed: 65.014353 samples/sec accuracy=39.330882 loss=2.676146 lr=0.106402 Epoch[043] Batch [3449]/[3759] Speed: 64.528573 samples/sec accuracy=39.317029 loss=2.676669 lr=0.106398 Epoch[043] Batch [3499]/[3759] Speed: 64.203527 samples/sec accuracy=39.312500 loss=2.677229 lr=0.106393 Epoch[043] Batch [3549]/[3759] Speed: 64.923677 samples/sec accuracy=39.308979 loss=2.677654 lr=0.106388 Epoch[043] Batch [3599]/[3759] Speed: 64.412137 samples/sec accuracy=39.300347 loss=2.677909 lr=0.106383 Epoch[043] Batch [3649]/[3759] Speed: 64.613829 samples/sec accuracy=39.289812 loss=2.678464 lr=0.106379 Epoch[043] Batch [3699]/[3759] Speed: 64.366162 samples/sec accuracy=39.290541 loss=2.678343 lr=0.106374 Epoch[043] Batch [3749]/[3759] Speed: 68.072347 samples/sec accuracy=39.295000 loss=2.678313 lr=0.106369 Batch [0049]/[0303]: acc-top1=40.000000 acc-top5=67.562500 Batch [0099]/[0303]: acc-top1=39.750000 acc-top5=67.656250 Batch [0149]/[0303]: acc-top1=39.635417 acc-top5=67.583333 Batch [0199]/[0303]: acc-top1=39.796875 acc-top5=67.523438 Batch [0249]/[0303]: acc-top1=39.850000 acc-top5=67.625000 Batch [0299]/[0303]: acc-top1=39.833333 acc-top5=67.671875 [Epoch 043] training: accuracy=39.293612 loss=2.678126 [Epoch 043] speed: 64 samples/sec time cost: 4047.262386 [Epoch 043] validation: acc-top1=39.872112 acc-top5=67.677393 loss=2.790772 Epoch[044] Batch [0049]/[3760] Speed: 42.544777 samples/sec accuracy=39.343750 loss=2.655860 lr=0.106363 Epoch[044] Batch [0099]/[3760] Speed: 62.499802 samples/sec accuracy=39.484375 loss=2.647679 lr=0.106359 Epoch[044] Batch [0149]/[3760] Speed: 64.084765 samples/sec accuracy=39.937500 loss=2.625241 lr=0.106354 Epoch[044] Batch [0199]/[3760] Speed: 64.097093 samples/sec accuracy=39.921875 loss=2.627546 lr=0.106349 Epoch[044] Batch [0249]/[3760] Speed: 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lr=0.106301 Epoch[044] Batch [0749]/[3760] Speed: 64.665810 samples/sec accuracy=39.612500 loss=2.649178 lr=0.106296 Epoch[044] Batch [0799]/[3760] Speed: 64.761016 samples/sec accuracy=39.671875 loss=2.646692 lr=0.106291 Epoch[044] Batch [0849]/[3760] Speed: 64.024380 samples/sec accuracy=39.652574 loss=2.650337 lr=0.106287 Epoch[044] Batch [0899]/[3760] Speed: 65.353701 samples/sec accuracy=39.647569 loss=2.651715 lr=0.106282 Epoch[044] Batch [0949]/[3760] Speed: 64.425491 samples/sec accuracy=39.644737 loss=2.652157 lr=0.106277 Epoch[044] Batch [0999]/[3760] Speed: 64.485668 samples/sec accuracy=39.628125 loss=2.654135 lr=0.106272 Epoch[044] Batch [1049]/[3760] Speed: 64.565776 samples/sec accuracy=39.671131 loss=2.653563 lr=0.106267 Epoch[044] Batch [1099]/[3760] Speed: 64.278725 samples/sec accuracy=39.639205 loss=2.655474 lr=0.106262 Epoch[044] Batch [1149]/[3760] Speed: 64.756578 samples/sec accuracy=39.582880 loss=2.657298 lr=0.106258 Epoch[044] Batch [1199]/[3760] Speed: 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lr=0.106209 Epoch[044] Batch [1699]/[3760] Speed: 64.399239 samples/sec accuracy=39.578125 loss=2.660294 lr=0.106204 Epoch[044] Batch [1749]/[3760] Speed: 64.145939 samples/sec accuracy=39.558036 loss=2.661485 lr=0.106199 Epoch[044] Batch [1799]/[3760] Speed: 64.679734 samples/sec accuracy=39.537326 loss=2.662438 lr=0.106194 Epoch[044] Batch [1849]/[3760] Speed: 64.407752 samples/sec accuracy=39.530405 loss=2.663725 lr=0.106189 Epoch[044] Batch [1899]/[3760] Speed: 64.551497 samples/sec accuracy=39.538651 loss=2.663880 lr=0.106185 Epoch[044] Batch [1949]/[3760] Speed: 64.297135 samples/sec accuracy=39.558494 loss=2.663699 lr=0.106180 Epoch[044] Batch [1999]/[3760] Speed: 63.980994 samples/sec accuracy=39.550781 loss=2.664587 lr=0.106175 Epoch[044] Batch [2049]/[3760] Speed: 64.883377 samples/sec accuracy=39.527439 loss=2.665405 lr=0.106170 Epoch[044] Batch [2099]/[3760] Speed: 64.615448 samples/sec accuracy=39.501488 loss=2.667435 lr=0.106165 Epoch[044] Batch [2149]/[3760] Speed: 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lr=0.106116 Epoch[044] Batch [2649]/[3760] Speed: 64.331698 samples/sec accuracy=39.526533 loss=2.667050 lr=0.106111 Epoch[044] Batch [2699]/[3760] Speed: 64.576033 samples/sec accuracy=39.557292 loss=2.665542 lr=0.106106 Epoch[044] Batch [2749]/[3760] Speed: 64.303260 samples/sec accuracy=39.550568 loss=2.666839 lr=0.106101 Epoch[044] Batch [2799]/[3760] Speed: 63.715809 samples/sec accuracy=39.526228 loss=2.667509 lr=0.106096 Epoch[044] Batch [2849]/[3760] Speed: 65.165239 samples/sec accuracy=39.521930 loss=2.667794 lr=0.106091 Epoch[044] Batch [2899]/[3760] Speed: 64.565341 samples/sec accuracy=39.487608 loss=2.669187 lr=0.106086 Epoch[044] Batch [2949]/[3760] Speed: 64.817795 samples/sec accuracy=39.490466 loss=2.668904 lr=0.106081 Epoch[044] Batch [2999]/[3760] Speed: 64.595565 samples/sec accuracy=39.485417 loss=2.668544 lr=0.106076 Epoch[044] Batch [3049]/[3760] Speed: 64.259826 samples/sec accuracy=39.491803 loss=2.668511 lr=0.106071 Epoch[044] Batch [3099]/[3760] Speed: 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lr=0.106022 Epoch[044] Batch [3599]/[3760] Speed: 64.311426 samples/sec accuracy=39.364149 loss=2.673826 lr=0.106017 Epoch[044] Batch [3649]/[3760] Speed: 64.082804 samples/sec accuracy=39.356164 loss=2.673844 lr=0.106012 Epoch[044] Batch [3699]/[3760] Speed: 63.611401 samples/sec accuracy=39.357686 loss=2.673787 lr=0.106007 Epoch[044] Batch [3749]/[3760] Speed: 68.059115 samples/sec accuracy=39.343750 loss=2.673651 lr=0.106002 Batch [0049]/[0303]: acc-top1=38.187500 acc-top5=64.843750 Batch [0099]/[0303]: acc-top1=38.500000 acc-top5=65.031250 Batch [0149]/[0303]: acc-top1=38.270833 acc-top5=64.979167 Batch [0199]/[0303]: acc-top1=38.250000 acc-top5=64.968750 Batch [0249]/[0303]: acc-top1=38.362500 acc-top5=65.175000 Batch [0299]/[0303]: acc-top1=38.250000 acc-top5=65.166667 [Epoch 044] training: accuracy=39.348404 loss=2.673474 [Epoch 044] speed: 64 samples/sec time cost: 4050.128470 [Epoch 044] validation: acc-top1=38.294142 acc-top5=65.212459 loss=3.032615 Epoch[045] Batch 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accuracy=39.809375 loss=2.637484 lr=0.105950 Epoch[045] Batch [0549]/[3760] Speed: 64.240786 samples/sec accuracy=39.778409 loss=2.637474 lr=0.105945 Epoch[045] Batch [0599]/[3760] Speed: 64.136850 samples/sec accuracy=39.893229 loss=2.635164 lr=0.105940 Epoch[045] Batch [0649]/[3760] Speed: 64.057670 samples/sec accuracy=39.819712 loss=2.640738 lr=0.105935 Epoch[045] Batch [0699]/[3760] Speed: 64.789219 samples/sec accuracy=39.850446 loss=2.638791 lr=0.105930 Epoch[045] Batch [0749]/[3760] Speed: 64.336078 samples/sec accuracy=39.837500 loss=2.639579 lr=0.105925 Epoch[045] Batch [0799]/[3760] Speed: 64.555809 samples/sec accuracy=39.818359 loss=2.640839 lr=0.105920 Epoch[045] Batch [0849]/[3760] Speed: 64.861328 samples/sec accuracy=39.764706 loss=2.644404 lr=0.105915 Epoch[045] Batch [0899]/[3760] Speed: 64.309292 samples/sec accuracy=39.805556 loss=2.643800 lr=0.105910 Epoch[045] Batch [0949]/[3760] Speed: 64.902716 samples/sec accuracy=39.789474 loss=2.646940 lr=0.105905 Epoch[045] Batch [0999]/[3760] Speed: 63.935734 samples/sec accuracy=39.750000 loss=2.649130 lr=0.105900 Epoch[045] Batch [1049]/[3760] Speed: 64.233982 samples/sec accuracy=39.739583 loss=2.649423 lr=0.105895 Epoch[045] Batch [1099]/[3760] Speed: 64.560148 samples/sec accuracy=39.720170 loss=2.649956 lr=0.105890 Epoch[045] Batch [1149]/[3760] Speed: 63.972247 samples/sec accuracy=39.755435 loss=2.648342 lr=0.105885 Epoch[045] Batch [1199]/[3760] Speed: 64.952604 samples/sec accuracy=39.726562 loss=2.650734 lr=0.105880 Epoch[045] Batch [1249]/[3760] Speed: 64.384389 samples/sec accuracy=39.718750 loss=2.651652 lr=0.105875 Epoch[045] Batch [1299]/[3760] Speed: 64.277354 samples/sec accuracy=39.788462 loss=2.648970 lr=0.105869 Epoch[045] Batch [1349]/[3760] Speed: 64.679738 samples/sec accuracy=39.770833 loss=2.649231 lr=0.105864 Epoch[045] Batch [1399]/[3760] Speed: 63.752101 samples/sec accuracy=39.793527 loss=2.647851 lr=0.105859 Epoch[045] Batch [1449]/[3760] Speed: 64.947066 samples/sec accuracy=39.745690 loss=2.650176 lr=0.105854 Epoch[045] Batch [1499]/[3760] Speed: 64.330549 samples/sec accuracy=39.732292 loss=2.652255 lr=0.105849 Epoch[045] Batch [1549]/[3760] Speed: 64.998091 samples/sec accuracy=39.759073 loss=2.650910 lr=0.105844 Epoch[045] Batch [1599]/[3760] Speed: 64.223919 samples/sec accuracy=39.731445 loss=2.651857 lr=0.105839 Epoch[045] Batch [1649]/[3760] Speed: 64.494736 samples/sec accuracy=39.725379 loss=2.651140 lr=0.105834 Epoch[045] Batch [1699]/[3760] Speed: 64.519497 samples/sec accuracy=39.727022 loss=2.651557 lr=0.105829 Epoch[045] Batch [1749]/[3760] Speed: 64.141196 samples/sec accuracy=39.663393 loss=2.653600 lr=0.105824 Epoch[045] Batch [1799]/[3760] Speed: 64.456435 samples/sec accuracy=39.644965 loss=2.654679 lr=0.105819 Epoch[045] Batch [1849]/[3760] Speed: 64.503154 samples/sec accuracy=39.592061 loss=2.657167 lr=0.105813 Epoch[045] Batch [1899]/[3760] Speed: 64.313050 samples/sec accuracy=39.586349 loss=2.658595 lr=0.105808 Epoch[045] Batch [1949]/[3760] Speed: 64.676525 samples/sec accuracy=39.572115 loss=2.659623 lr=0.105803 Epoch[045] Batch [1999]/[3760] Speed: 64.473706 samples/sec accuracy=39.561719 loss=2.660267 lr=0.105798 Epoch[045] Batch [2049]/[3760] Speed: 64.466373 samples/sec accuracy=39.610518 loss=2.658644 lr=0.105793 Epoch[045] Batch [2099]/[3760] Speed: 64.590277 samples/sec accuracy=39.630952 loss=2.658984 lr=0.105788 Epoch[045] Batch [2149]/[3760] Speed: 64.258808 samples/sec accuracy=39.637355 loss=2.659339 lr=0.105783 Epoch[045] Batch [2199]/[3760] Speed: 64.534675 samples/sec accuracy=39.629972 loss=2.659140 lr=0.105778 Epoch[045] Batch [2249]/[3760] Speed: 64.051187 samples/sec accuracy=39.613194 loss=2.658527 lr=0.105772 Epoch[045] Batch [2299]/[3760] Speed: 63.961901 samples/sec accuracy=39.616168 loss=2.658985 lr=0.105767 Epoch[045] Batch [2349]/[3760] Speed: 64.977204 samples/sec accuracy=39.611037 loss=2.658626 lr=0.105762 Epoch[045] Batch [2399]/[3760] Speed: 64.159946 samples/sec accuracy=39.647786 loss=2.658075 lr=0.105757 Epoch[045] Batch [2449]/[3760] Speed: 64.374755 samples/sec accuracy=39.613520 loss=2.659508 lr=0.105752 Epoch[045] Batch [2499]/[3760] Speed: 64.570713 samples/sec accuracy=39.613125 loss=2.659976 lr=0.105747 Epoch[045] Batch [2549]/[3760] Speed: 63.959263 samples/sec accuracy=39.568627 loss=2.662160 lr=0.105742 Epoch[045] Batch [2599]/[3760] Speed: 65.173271 samples/sec accuracy=39.583534 loss=2.662238 lr=0.105736 Epoch[045] Batch [2649]/[3760] Speed: 64.144992 samples/sec accuracy=39.561910 loss=2.663117 lr=0.105731 Epoch[045] Batch [2699]/[3760] Speed: 65.048641 samples/sec accuracy=39.538194 loss=2.664145 lr=0.105726 Epoch[045] Batch [2749]/[3760] Speed: 64.742303 samples/sec accuracy=39.529545 loss=2.664674 lr=0.105721 Epoch[045] Batch [2799]/[3760] Speed: 63.766027 samples/sec accuracy=39.512835 loss=2.665402 lr=0.105716 Epoch[045] Batch [2849]/[3760] Speed: 65.135373 samples/sec accuracy=39.507127 loss=2.665486 lr=0.105711 Epoch[045] Batch [2899]/[3760] Speed: 63.951994 samples/sec accuracy=39.527478 loss=2.664912 lr=0.105705 Epoch[045] Batch [2949]/[3760] Speed: 64.686821 samples/sec accuracy=39.529131 loss=2.665521 lr=0.105700 Epoch[045] Batch [2999]/[3760] Speed: 64.520662 samples/sec accuracy=39.537500 loss=2.665135 lr=0.105695 Epoch[045] Batch [3049]/[3760] Speed: 63.883379 samples/sec accuracy=39.529201 loss=2.665571 lr=0.105690 Epoch[045] Batch [3099]/[3760] Speed: 65.277310 samples/sec accuracy=39.525202 loss=2.665939 lr=0.105685 Epoch[045] Batch [3149]/[3760] Speed: 64.764606 samples/sec accuracy=39.522817 loss=2.666212 lr=0.105679 Epoch[045] Batch [3199]/[3760] Speed: 64.072935 samples/sec accuracy=39.523438 loss=2.666215 lr=0.105674 Epoch[045] Batch [3249]/[3760] Speed: 64.246792 samples/sec accuracy=39.541827 loss=2.665237 lr=0.105669 Epoch[045] Batch [3299]/[3760] Speed: 64.394439 samples/sec accuracy=39.543561 loss=2.664941 lr=0.105664 Epoch[045] Batch [3349]/[3760] Speed: 64.322930 samples/sec accuracy=39.535914 loss=2.665540 lr=0.105659 Epoch[045] Batch [3399]/[3760] Speed: 64.303890 samples/sec accuracy=39.543199 loss=2.664929 lr=0.105653 Epoch[045] Batch [3449]/[3760] Speed: 64.679392 samples/sec accuracy=39.527174 loss=2.665714 lr=0.105648 Epoch[045] Batch [3499]/[3760] Speed: 64.236975 samples/sec accuracy=39.529911 loss=2.666312 lr=0.105643 Epoch[045] Batch [3549]/[3760] Speed: 64.056440 samples/sec accuracy=39.517165 loss=2.666896 lr=0.105638 Epoch[045] Batch [3599]/[3760] Speed: 64.194197 samples/sec accuracy=39.511719 loss=2.667518 lr=0.105633 Epoch[045] Batch [3649]/[3760] Speed: 64.642213 samples/sec accuracy=39.494863 loss=2.668087 lr=0.105627 Epoch[045] Batch [3699]/[3760] Speed: 64.455785 samples/sec accuracy=39.475929 loss=2.668879 lr=0.105622 Epoch[045] Batch [3749]/[3760] Speed: 68.019169 samples/sec accuracy=39.480417 loss=2.669412 lr=0.105617 Batch [0049]/[0303]: acc-top1=39.218750 acc-top5=67.125000 Batch [0099]/[0303]: acc-top1=39.296875 acc-top5=67.437500 Batch [0149]/[0303]: acc-top1=39.489583 acc-top5=67.614583 Batch [0199]/[0303]: acc-top1=39.476562 acc-top5=67.406250 Batch [0249]/[0303]: acc-top1=39.893750 acc-top5=67.700000 Batch [0299]/[0303]: acc-top1=39.968750 acc-top5=67.609375 [Epoch 045] training: accuracy=39.478474 loss=2.669534 [Epoch 045] speed: 64 samples/sec time cost: 4047.515092 [Epoch 045] validation: acc-top1=40.016502 acc-top5=67.646452 loss=2.881613 Epoch[046] Batch [0049]/[3759] Speed: 42.896685 samples/sec accuracy=40.656250 loss=2.553612 lr=0.105611 Epoch[046] Batch [0099]/[3759] Speed: 62.897694 samples/sec accuracy=41.843750 loss=2.542575 lr=0.105605 Epoch[046] Batch [0149]/[3759] Speed: 64.391553 samples/sec accuracy=40.604167 loss=2.587092 lr=0.105600 Epoch[046] Batch [0199]/[3759] Speed: 64.185880 samples/sec accuracy=40.296875 loss=2.604007 lr=0.105595 Epoch[046] Batch [0249]/[3759] Speed: 65.101797 samples/sec accuracy=40.062500 loss=2.623402 lr=0.105590 Epoch[046] Batch [0299]/[3759] Speed: 64.325036 samples/sec accuracy=40.119792 loss=2.616108 lr=0.105584 Epoch[046] Batch [0349]/[3759] Speed: 64.004445 samples/sec accuracy=39.848214 loss=2.630014 lr=0.105579 Epoch[046] Batch [0399]/[3759] Speed: 64.639890 samples/sec accuracy=39.851562 loss=2.635448 lr=0.105574 Epoch[046] Batch [0449]/[3759] Speed: 64.040700 samples/sec accuracy=39.864583 loss=2.633585 lr=0.105569 Epoch[046] Batch [0499]/[3759] Speed: 65.293973 samples/sec accuracy=39.709375 loss=2.640512 lr=0.105563 Epoch[046] Batch [0549]/[3759] Speed: 64.167094 samples/sec accuracy=39.761364 loss=2.635259 lr=0.105558 Epoch[046] Batch [0599]/[3759] Speed: 64.234797 samples/sec accuracy=39.614583 loss=2.640919 lr=0.105553 Epoch[046] Batch [0649]/[3759] Speed: 64.898061 samples/sec accuracy=39.557692 loss=2.643367 lr=0.105548 Epoch[046] Batch [0699]/[3759] Speed: 64.291393 samples/sec accuracy=39.508929 loss=2.651669 lr=0.105542 Epoch[046] Batch [0749]/[3759] Speed: 64.729787 samples/sec accuracy=39.581250 loss=2.651040 lr=0.105537 Epoch[046] Batch [0799]/[3759] Speed: 64.488620 samples/sec accuracy=39.599609 loss=2.652570 lr=0.105532 Epoch[046] Batch [0849]/[3759] Speed: 64.344532 samples/sec accuracy=39.689338 loss=2.649698 lr=0.105527 Epoch[046] Batch [0899]/[3759] Speed: 64.697623 samples/sec accuracy=39.732639 loss=2.645675 lr=0.105521 Epoch[046] Batch [0949]/[3759] Speed: 64.359080 samples/sec accuracy=39.750000 loss=2.647537 lr=0.105516 Epoch[046] Batch [0999]/[3759] Speed: 64.664109 samples/sec accuracy=39.742188 loss=2.647438 lr=0.105511 Epoch[046] Batch [1049]/[3759] Speed: 64.296777 samples/sec accuracy=39.738095 loss=2.647498 lr=0.105505 Epoch[046] Batch [1099]/[3759] Speed: 64.029396 samples/sec accuracy=39.713068 loss=2.650137 lr=0.105500 Epoch[046] Batch [1149]/[3759] Speed: 64.829148 samples/sec accuracy=39.686141 loss=2.651983 lr=0.105495 Epoch[046] Batch [1199]/[3759] Speed: 64.170071 samples/sec accuracy=39.686198 loss=2.649997 lr=0.105490 Epoch[046] Batch 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accuracy=39.598346 loss=2.658278 lr=0.105436 Epoch[046] Batch [1749]/[3759] Speed: 64.609920 samples/sec accuracy=39.572321 loss=2.658733 lr=0.105431 Epoch[046] Batch [1799]/[3759] Speed: 64.477232 samples/sec accuracy=39.569444 loss=2.658625 lr=0.105426 Epoch[046] Batch [1849]/[3759] Speed: 64.734908 samples/sec accuracy=39.519426 loss=2.660192 lr=0.105420 Epoch[046] Batch [1899]/[3759] Speed: 64.034616 samples/sec accuracy=39.490132 loss=2.661675 lr=0.105415 Epoch[046] Batch [1949]/[3759] Speed: 64.208972 samples/sec accuracy=39.528846 loss=2.659614 lr=0.105410 Epoch[046] Batch [1999]/[3759] Speed: 64.137565 samples/sec accuracy=39.532812 loss=2.659426 lr=0.105404 Epoch[046] Batch [2049]/[3759] Speed: 64.242946 samples/sec accuracy=39.554116 loss=2.659851 lr=0.105399 Epoch[046] Batch [2099]/[3759] Speed: 64.486381 samples/sec accuracy=39.575149 loss=2.659181 lr=0.105394 Epoch[046] Batch [2149]/[3759] Speed: 63.888126 samples/sec accuracy=39.584302 loss=2.659084 lr=0.105388 Epoch[046] 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accuracy=39.574882 loss=2.659575 lr=0.105335 Epoch[046] Batch [2699]/[3759] Speed: 64.109771 samples/sec accuracy=39.581597 loss=2.659897 lr=0.105329 Epoch[046] Batch [2749]/[3759] Speed: 64.362061 samples/sec accuracy=39.577841 loss=2.660565 lr=0.105324 Epoch[046] Batch [2799]/[3759] Speed: 64.763080 samples/sec accuracy=39.602679 loss=2.659238 lr=0.105318 Epoch[046] Batch [2849]/[3759] Speed: 64.337203 samples/sec accuracy=39.610746 loss=2.658998 lr=0.105313 Epoch[046] Batch [2899]/[3759] Speed: 64.333012 samples/sec accuracy=39.623384 loss=2.658877 lr=0.105308 Epoch[046] Batch [2949]/[3759] Speed: 64.240429 samples/sec accuracy=39.627648 loss=2.659386 lr=0.105302 Epoch[046] Batch [2999]/[3759] Speed: 64.317020 samples/sec accuracy=39.631250 loss=2.659038 lr=0.105297 Epoch[046] Batch [3049]/[3759] Speed: 64.233983 samples/sec accuracy=39.627561 loss=2.659398 lr=0.105291 Epoch[046] Batch [3099]/[3759] Speed: 64.511487 samples/sec accuracy=39.597278 loss=2.659773 lr=0.105286 Epoch[046] 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accuracy=39.497830 loss=2.664924 lr=0.105232 Epoch[046] Batch [3649]/[3759] Speed: 63.787653 samples/sec accuracy=39.502997 loss=2.664623 lr=0.105226 Epoch[046] Batch [3699]/[3759] Speed: 64.378683 samples/sec accuracy=39.492399 loss=2.665126 lr=0.105221 Epoch[046] Batch [3749]/[3759] Speed: 67.715170 samples/sec accuracy=39.491667 loss=2.666008 lr=0.105215 Batch [0049]/[0303]: acc-top1=39.531250 acc-top5=66.562500 Batch [0099]/[0303]: acc-top1=39.046875 acc-top5=66.453125 Batch [0149]/[0303]: acc-top1=39.302083 acc-top5=66.635417 Batch [0199]/[0303]: acc-top1=39.359375 acc-top5=66.632812 Batch [0249]/[0303]: acc-top1=39.643750 acc-top5=67.025000 Batch [0299]/[0303]: acc-top1=39.578125 acc-top5=66.927083 [Epoch 046] training: accuracy=39.484820 loss=2.666241 [Epoch 046] speed: 63 samples/sec time cost: 4052.268875 [Epoch 046] validation: acc-top1=39.609117 acc-top5=66.950289 loss=3.015941 Epoch[047] Batch [0049]/[3760] Speed: 42.183258 samples/sec accuracy=40.281250 loss=2.574492 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lr=0.105105 Epoch[047] Batch [1049]/[3760] Speed: 63.997247 samples/sec accuracy=40.392857 loss=2.626225 lr=0.105099 Epoch[047] Batch [1099]/[3760] Speed: 64.878140 samples/sec accuracy=40.340909 loss=2.628294 lr=0.105094 Epoch[047] Batch [1149]/[3760] Speed: 63.807365 samples/sec accuracy=40.283967 loss=2.630681 lr=0.105088 Epoch[047] Batch [1199]/[3760] Speed: 64.171359 samples/sec accuracy=40.252604 loss=2.630680 lr=0.105083 Epoch[047] Batch [1249]/[3760] Speed: 64.170294 samples/sec accuracy=40.247500 loss=2.632431 lr=0.105077 Epoch[047] Batch [1299]/[3760] Speed: 63.917354 samples/sec accuracy=40.222356 loss=2.634109 lr=0.105072 Epoch[047] Batch [1349]/[3760] Speed: 64.994853 samples/sec accuracy=40.181713 loss=2.635525 lr=0.105066 Epoch[047] Batch [1399]/[3760] Speed: 63.761431 samples/sec accuracy=40.121652 loss=2.637496 lr=0.105061 Epoch[047] Batch [1449]/[3760] Speed: 64.707859 samples/sec accuracy=40.070043 loss=2.640479 lr=0.105055 Epoch[047] Batch [1499]/[3760] Speed: 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lr=0.105000 Epoch[047] Batch [1999]/[3760] Speed: 64.037003 samples/sec accuracy=39.953125 loss=2.643381 lr=0.104994 Epoch[047] Batch [2049]/[3760] Speed: 64.281540 samples/sec accuracy=39.923780 loss=2.644206 lr=0.104988 Epoch[047] Batch [2099]/[3760] Speed: 63.773373 samples/sec accuracy=39.884673 loss=2.646084 lr=0.104983 Epoch[047] Batch [2149]/[3760] Speed: 64.260707 samples/sec accuracy=39.912064 loss=2.645670 lr=0.104977 Epoch[047] Batch [2199]/[3760] Speed: 64.452158 samples/sec accuracy=39.873580 loss=2.647224 lr=0.104972 Epoch[047] Batch [2249]/[3760] Speed: 63.987856 samples/sec accuracy=39.870833 loss=2.647488 lr=0.104966 Epoch[047] Batch [2299]/[3760] Speed: 64.777355 samples/sec accuracy=39.868207 loss=2.648474 lr=0.104961 Epoch[047] Batch [2349]/[3760] Speed: 64.100031 samples/sec accuracy=39.876330 loss=2.648365 lr=0.104955 Epoch[047] Batch [2399]/[3760] Speed: 64.633020 samples/sec accuracy=39.870443 loss=2.648634 lr=0.104949 Epoch[047] Batch [2449]/[3760] Speed: 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lr=0.104893 Epoch[047] Batch [2949]/[3760] Speed: 64.188854 samples/sec accuracy=39.822034 loss=2.652517 lr=0.104888 Epoch[047] Batch [2999]/[3760] Speed: 64.633246 samples/sec accuracy=39.810417 loss=2.652502 lr=0.104882 Epoch[047] Batch [3049]/[3760] Speed: 64.223143 samples/sec accuracy=39.786373 loss=2.653088 lr=0.104876 Epoch[047] Batch [3099]/[3760] Speed: 64.053310 samples/sec accuracy=39.774194 loss=2.653582 lr=0.104871 Epoch[047] Batch [3149]/[3760] Speed: 64.619593 samples/sec accuracy=39.787202 loss=2.653989 lr=0.104865 Epoch[047] Batch [3199]/[3760] Speed: 64.099630 samples/sec accuracy=39.773438 loss=2.654388 lr=0.104859 Epoch[047] Batch [3249]/[3760] Speed: 64.468597 samples/sec accuracy=39.754808 loss=2.654398 lr=0.104854 Epoch[047] Batch [3299]/[3760] Speed: 64.191567 samples/sec accuracy=39.749053 loss=2.655003 lr=0.104848 Epoch[047] Batch [3349]/[3760] Speed: 63.990872 samples/sec accuracy=39.760728 loss=2.654736 lr=0.104843 Epoch[047] Batch [3399]/[3760] Speed: 64.479426 samples/sec accuracy=39.755515 loss=2.655100 lr=0.104837 Epoch[047] Batch [3449]/[3760] Speed: 64.214621 samples/sec accuracy=39.743207 loss=2.655732 lr=0.104831 Epoch[047] Batch [3499]/[3760] Speed: 64.459646 samples/sec accuracy=39.741518 loss=2.655661 lr=0.104826 Epoch[047] Batch [3549]/[3760] Speed: 64.017108 samples/sec accuracy=39.756162 loss=2.655075 lr=0.104820 Epoch[047] Batch [3599]/[3760] Speed: 64.750352 samples/sec accuracy=39.750434 loss=2.654928 lr=0.104814 Epoch[047] Batch [3649]/[3760] Speed: 64.267353 samples/sec accuracy=39.737158 loss=2.655229 lr=0.104809 Epoch[047] Batch [3699]/[3760] Speed: 64.471252 samples/sec accuracy=39.735220 loss=2.654659 lr=0.104803 Epoch[047] Batch [3749]/[3760] Speed: 68.092632 samples/sec accuracy=39.733333 loss=2.655187 lr=0.104797 Batch [0049]/[0303]: acc-top1=38.500000 acc-top5=65.375000 Batch [0099]/[0303]: acc-top1=38.562500 acc-top5=65.375000 Batch [0149]/[0303]: acc-top1=38.656250 acc-top5=65.385417 Batch [0199]/[0303]: acc-top1=38.656250 acc-top5=65.570312 Batch [0249]/[0303]: acc-top1=38.781250 acc-top5=65.937500 Batch [0299]/[0303]: acc-top1=38.583333 acc-top5=65.953125 [Epoch 047] training: accuracy=39.724485 loss=2.655399 [Epoch 047] speed: 63 samples/sec time cost: 4054.299037 [Epoch 047] validation: acc-top1=38.613861 acc-top5=65.980817 loss=2.907764 Epoch[048] Batch [0049]/[3760] Speed: 42.059706 samples/sec accuracy=42.343750 loss=2.561277 lr=0.104790 Epoch[048] Batch [0099]/[3760] Speed: 62.429230 samples/sec accuracy=42.578125 loss=2.542047 lr=0.104785 Epoch[048] Batch [0149]/[3760] Speed: 64.583814 samples/sec accuracy=41.583333 loss=2.583399 lr=0.104779 Epoch[048] Batch [0199]/[3760] Speed: 63.759770 samples/sec accuracy=41.015625 loss=2.607339 lr=0.104773 Epoch[048] Batch [0249]/[3760] Speed: 64.900838 samples/sec accuracy=40.781250 loss=2.618678 lr=0.104768 Epoch[048] Batch [0299]/[3760] Speed: 64.250494 samples/sec accuracy=40.505208 loss=2.633658 lr=0.104762 Epoch[048] Batch 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accuracy=39.880859 loss=2.654137 lr=0.104705 Epoch[048] Batch [0849]/[3760] Speed: 64.336313 samples/sec accuracy=39.946691 loss=2.652454 lr=0.104699 Epoch[048] Batch [0899]/[3760] Speed: 64.357552 samples/sec accuracy=40.043403 loss=2.649009 lr=0.104694 Epoch[048] Batch [0949]/[3760] Speed: 64.433264 samples/sec accuracy=40.013158 loss=2.652044 lr=0.104688 Epoch[048] Batch [0999]/[3760] Speed: 63.751761 samples/sec accuracy=40.023438 loss=2.650788 lr=0.104682 Epoch[048] Batch [1049]/[3760] Speed: 64.357912 samples/sec accuracy=39.959821 loss=2.654415 lr=0.104676 Epoch[048] Batch [1099]/[3760] Speed: 64.234908 samples/sec accuracy=39.916193 loss=2.653311 lr=0.104671 Epoch[048] Batch [1149]/[3760] Speed: 64.093456 samples/sec accuracy=39.902174 loss=2.653827 lr=0.104665 Epoch[048] Batch [1199]/[3760] Speed: 64.235917 samples/sec accuracy=39.878906 loss=2.654034 lr=0.104659 Epoch[048] Batch [1249]/[3760] Speed: 63.437055 samples/sec accuracy=39.913750 loss=2.651041 lr=0.104653 Epoch[048] 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accuracy=39.866071 loss=2.652965 lr=0.104596 Epoch[048] Batch [1799]/[3760] Speed: 64.288947 samples/sec accuracy=39.880208 loss=2.652355 lr=0.104590 Epoch[048] Batch [1849]/[3760] Speed: 64.086969 samples/sec accuracy=39.856419 loss=2.652400 lr=0.104584 Epoch[048] Batch [1899]/[3760] Speed: 64.542331 samples/sec accuracy=39.848684 loss=2.653000 lr=0.104578 Epoch[048] Batch [1949]/[3760] Speed: 64.078049 samples/sec accuracy=39.873397 loss=2.651234 lr=0.104573 Epoch[048] Batch [1999]/[3760] Speed: 63.786166 samples/sec accuracy=39.874219 loss=2.650521 lr=0.104567 Epoch[048] Batch [2049]/[3760] Speed: 64.872113 samples/sec accuracy=39.849848 loss=2.652086 lr=0.104561 Epoch[048] Batch [2099]/[3760] Speed: 63.716149 samples/sec accuracy=39.874256 loss=2.652063 lr=0.104555 Epoch[048] Batch [2149]/[3760] Speed: 64.437345 samples/sec accuracy=39.882994 loss=2.653039 lr=0.104549 Epoch[048] Batch [2199]/[3760] Speed: 64.283830 samples/sec accuracy=39.859375 loss=2.653516 lr=0.104544 Epoch[048] 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accuracy=39.847801 loss=2.651591 lr=0.104485 Epoch[048] Batch [2749]/[3760] Speed: 64.611869 samples/sec accuracy=39.836932 loss=2.651926 lr=0.104480 Epoch[048] Batch [2799]/[3760] Speed: 64.341706 samples/sec accuracy=39.805246 loss=2.653227 lr=0.104474 Epoch[048] Batch [2849]/[3760] Speed: 64.630741 samples/sec accuracy=39.807566 loss=2.653224 lr=0.104468 Epoch[048] Batch [2899]/[3760] Speed: 64.302657 samples/sec accuracy=39.797414 loss=2.653274 lr=0.104462 Epoch[048] Batch [2949]/[3760] Speed: 64.308375 samples/sec accuracy=39.772246 loss=2.654280 lr=0.104456 Epoch[048] Batch [2999]/[3760] Speed: 63.914435 samples/sec accuracy=39.770833 loss=2.653565 lr=0.104450 Epoch[048] Batch [3049]/[3760] Speed: 64.185507 samples/sec accuracy=39.755635 loss=2.653974 lr=0.104445 Epoch[048] Batch [3099]/[3760] Speed: 64.354709 samples/sec accuracy=39.734375 loss=2.654548 lr=0.104439 Epoch[048] Batch [3149]/[3760] Speed: 64.107366 samples/sec accuracy=39.717262 loss=2.655209 lr=0.104433 Epoch[048] Batch [3199]/[3760] Speed: 64.484771 samples/sec accuracy=39.698242 loss=2.655429 lr=0.104427 Epoch[048] Batch [3249]/[3760] Speed: 64.224669 samples/sec accuracy=39.707212 loss=2.654600 lr=0.104421 Epoch[048] Batch [3299]/[3760] Speed: 64.002148 samples/sec accuracy=39.695549 loss=2.655468 lr=0.104415 Epoch[048] Batch [3349]/[3760] Speed: 63.962778 samples/sec accuracy=39.710354 loss=2.655342 lr=0.104409 Epoch[048] Batch [3399]/[3760] Speed: 64.000787 samples/sec accuracy=39.701746 loss=2.655918 lr=0.104404 Epoch[048] Batch [3449]/[3760] Speed: 64.963051 samples/sec accuracy=39.693841 loss=2.656077 lr=0.104398 Epoch[048] Batch [3499]/[3760] Speed: 64.156285 samples/sec accuracy=39.658036 loss=2.656687 lr=0.104392 Epoch[048] Batch [3549]/[3760] Speed: 64.613217 samples/sec accuracy=39.662852 loss=2.656280 lr=0.104386 Epoch[048] Batch [3599]/[3760] Speed: 64.002942 samples/sec accuracy=39.674479 loss=2.655345 lr=0.104380 Epoch[048] Batch [3649]/[3760] Speed: 63.510736 samples/sec accuracy=39.672089 loss=2.655666 lr=0.104374 Epoch[048] Batch [3699]/[3760] Speed: 64.884339 samples/sec accuracy=39.656250 loss=2.656348 lr=0.104368 Epoch[048] Batch [3749]/[3760] Speed: 67.706622 samples/sec accuracy=39.653333 loss=2.656978 lr=0.104362 Batch [0049]/[0303]: acc-top1=39.656250 acc-top5=65.781250 Batch [0099]/[0303]: acc-top1=38.875000 acc-top5=66.125000 Batch [0149]/[0303]: acc-top1=38.562500 acc-top5=66.020833 Batch [0199]/[0303]: acc-top1=38.867188 acc-top5=66.195312 Batch [0249]/[0303]: acc-top1=39.193750 acc-top5=66.543750 Batch [0299]/[0303]: acc-top1=39.192708 acc-top5=66.656250 [Epoch 048] training: accuracy=39.660073 loss=2.656929 [Epoch 048] speed: 63 samples/sec time cost: 4057.014542 [Epoch 048] validation: acc-top1=39.242987 acc-top5=66.661510 loss=2.850542 Epoch[049] Batch [0049]/[3759] Speed: 42.149271 samples/sec accuracy=40.281250 loss=2.630123 lr=0.104355 Epoch[049] Batch [0099]/[3759] Speed: 62.218800 samples/sec accuracy=39.515625 loss=2.672855 lr=0.104349 Epoch[049] Batch [0149]/[3759] Speed: 64.126782 samples/sec accuracy=39.833333 loss=2.652091 lr=0.104343 Epoch[049] Batch [0199]/[3759] Speed: 64.140850 samples/sec accuracy=39.812500 loss=2.627380 lr=0.104338 Epoch[049] Batch [0249]/[3759] Speed: 64.595021 samples/sec accuracy=39.943750 loss=2.619090 lr=0.104332 Epoch[049] Batch [0299]/[3759] Speed: 64.203193 samples/sec accuracy=40.020833 loss=2.613958 lr=0.104326 Epoch[049] Batch [0349]/[3759] Speed: 64.203456 samples/sec accuracy=40.058036 loss=2.616395 lr=0.104320 Epoch[049] Batch [0399]/[3759] Speed: 64.381294 samples/sec accuracy=40.257812 loss=2.607901 lr=0.104314 Epoch[049] Batch [0449]/[3759] Speed: 63.896513 samples/sec accuracy=40.371528 loss=2.607900 lr=0.104308 Epoch[049] Batch [0499]/[3759] Speed: 63.778638 samples/sec accuracy=40.403125 loss=2.608063 lr=0.104302 Epoch[049] Batch [0549]/[3759] Speed: 64.779557 samples/sec accuracy=40.482955 loss=2.608458 lr=0.104296 Epoch[049] Batch [0599]/[3759] Speed: 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lr=0.104237 Epoch[049] Batch [1099]/[3759] Speed: 64.102109 samples/sec accuracy=39.943182 loss=2.634501 lr=0.104231 Epoch[049] Batch [1149]/[3759] Speed: 64.475404 samples/sec accuracy=39.944293 loss=2.634185 lr=0.104225 Epoch[049] Batch [1199]/[3759] Speed: 63.576961 samples/sec accuracy=40.007812 loss=2.633374 lr=0.104219 Epoch[049] Batch [1249]/[3759] Speed: 64.710859 samples/sec accuracy=40.006250 loss=2.633391 lr=0.104213 Epoch[049] Batch [1299]/[3759] Speed: 64.139149 samples/sec accuracy=39.967548 loss=2.634373 lr=0.104207 Epoch[049] Batch [1349]/[3759] Speed: 64.663354 samples/sec accuracy=39.929398 loss=2.635945 lr=0.104201 Epoch[049] Batch [1399]/[3759] Speed: 64.000549 samples/sec accuracy=39.875000 loss=2.635782 lr=0.104195 Epoch[049] Batch [1449]/[3759] Speed: 64.348963 samples/sec accuracy=39.853448 loss=2.636775 lr=0.104189 Epoch[049] Batch [1499]/[3759] Speed: 64.599025 samples/sec accuracy=39.846875 loss=2.637043 lr=0.104183 Epoch[049] Batch [1549]/[3759] Speed: 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lr=0.104123 Epoch[049] Batch [2049]/[3759] Speed: 64.520623 samples/sec accuracy=39.852896 loss=2.644225 lr=0.104117 Epoch[049] Batch [2099]/[3759] Speed: 64.050142 samples/sec accuracy=39.857143 loss=2.642972 lr=0.104111 Epoch[049] Batch [2149]/[3759] Speed: 64.553634 samples/sec accuracy=39.829942 loss=2.644263 lr=0.104105 Epoch[049] Batch [2199]/[3759] Speed: 64.248950 samples/sec accuracy=39.827415 loss=2.643586 lr=0.104099 Epoch[049] Batch [2249]/[3759] Speed: 64.442333 samples/sec accuracy=39.824306 loss=2.644124 lr=0.104093 Epoch[049] Batch [2299]/[3759] Speed: 64.237523 samples/sec accuracy=39.807065 loss=2.645147 lr=0.104087 Epoch[049] Batch [2349]/[3759] Speed: 64.002009 samples/sec accuracy=39.813830 loss=2.644941 lr=0.104081 Epoch[049] Batch [2399]/[3759] Speed: 64.705719 samples/sec accuracy=39.806641 loss=2.645115 lr=0.104075 Epoch[049] Batch [2449]/[3759] Speed: 63.747783 samples/sec accuracy=39.823342 loss=2.644492 lr=0.104069 Epoch[049] Batch [2499]/[3759] Speed: 64.520428 samples/sec accuracy=39.831250 loss=2.644663 lr=0.104063 Epoch[049] Batch [2549]/[3759] Speed: 64.254735 samples/sec accuracy=39.852328 loss=2.644809 lr=0.104057 Epoch[049] Batch [2599]/[3759] Speed: 64.303577 samples/sec accuracy=39.822716 loss=2.644943 lr=0.104051 Epoch[049] Batch [2649]/[3759] Speed: 64.001264 samples/sec accuracy=39.803066 loss=2.645741 lr=0.104045 Epoch[049] Batch [2699]/[3759] Speed: 63.560564 samples/sec accuracy=39.831019 loss=2.644713 lr=0.104039 Epoch[049] Batch [2749]/[3759] Speed: 64.592898 samples/sec accuracy=39.834091 loss=2.644866 lr=0.104033 Epoch[049] Batch [2799]/[3759] Speed: 63.802995 samples/sec accuracy=39.834821 loss=2.644943 lr=0.104027 Epoch[049] Batch [2849]/[3759] Speed: 64.487253 samples/sec accuracy=39.810307 loss=2.646272 lr=0.104021 Epoch[049] Batch [2899]/[3759] Speed: 64.211784 samples/sec accuracy=39.765625 loss=2.647856 lr=0.104014 Epoch[049] Batch [2949]/[3759] Speed: 64.501482 samples/sec accuracy=39.774364 loss=2.647716 lr=0.104008 Epoch[049] Batch [2999]/[3759] Speed: 64.130384 samples/sec accuracy=39.757292 loss=2.648323 lr=0.104002 Epoch[049] Batch [3049]/[3759] Speed: 64.131333 samples/sec accuracy=39.741291 loss=2.649252 lr=0.103996 Epoch[049] Batch [3099]/[3759] Speed: 64.511018 samples/sec accuracy=39.756552 loss=2.649300 lr=0.103990 Epoch[049] Batch [3149]/[3759] Speed: 64.154317 samples/sec accuracy=39.730655 loss=2.651096 lr=0.103984 Epoch[049] Batch [3199]/[3759] Speed: 64.339809 samples/sec accuracy=39.740723 loss=2.649790 lr=0.103978 Epoch[049] Batch [3249]/[3759] Speed: 64.036518 samples/sec accuracy=39.727404 loss=2.650221 lr=0.103972 Epoch[049] Batch [3299]/[3759] Speed: 63.977959 samples/sec accuracy=39.729167 loss=2.650384 lr=0.103966 Epoch[049] Batch [3349]/[3759] Speed: 64.281901 samples/sec accuracy=39.737407 loss=2.650197 lr=0.103960 Epoch[049] Batch [3399]/[3759] Speed: 64.077848 samples/sec accuracy=39.747702 loss=2.650094 lr=0.103954 Epoch[049] Batch [3449]/[3759] Speed: 64.208763 samples/sec accuracy=39.742301 loss=2.650125 lr=0.103948 Epoch[049] Batch [3499]/[3759] Speed: 64.291661 samples/sec accuracy=39.762946 loss=2.649246 lr=0.103942 Epoch[049] Batch [3549]/[3759] Speed: 64.618765 samples/sec accuracy=39.770246 loss=2.649523 lr=0.103935 Epoch[049] Batch [3599]/[3759] Speed: 64.159172 samples/sec accuracy=39.772135 loss=2.649249 lr=0.103929 Epoch[049] Batch [3649]/[3759] Speed: 64.209525 samples/sec accuracy=39.749144 loss=2.650398 lr=0.103923 Epoch[049] Batch [3699]/[3759] Speed: 64.180056 samples/sec accuracy=39.760135 loss=2.650223 lr=0.103917 Epoch[049] Batch [3749]/[3759] Speed: 68.110449 samples/sec accuracy=39.785833 loss=2.649542 lr=0.103911 Batch [0049]/[0303]: acc-top1=37.281250 acc-top5=65.625000 Batch [0099]/[0303]: acc-top1=37.046875 acc-top5=65.328125 Batch [0149]/[0303]: acc-top1=36.906250 acc-top5=65.166667 Batch [0199]/[0303]: acc-top1=37.070312 acc-top5=65.039062 Batch [0249]/[0303]: acc-top1=37.150000 acc-top5=65.093750 Batch [0299]/[0303]: acc-top1=37.307292 acc-top5=65.067708 [Epoch 049] training: accuracy=39.791584 loss=2.649425 [Epoch 049] speed: 63 samples/sec time cost: 4056.823949 [Epoch 049] validation: acc-top1=37.288573 acc-top5=65.037129 loss=3.133002 Epoch[050] Batch [0049]/[3760] Speed: 42.333327 samples/sec accuracy=41.187500 loss=2.620371 lr=0.103904 Epoch[050] Batch [0099]/[3760] Speed: 61.804591 samples/sec accuracy=40.921875 loss=2.603706 lr=0.103898 Epoch[050] Batch [0149]/[3760] Speed: 64.077134 samples/sec accuracy=40.895833 loss=2.596801 lr=0.103892 Epoch[050] Batch [0199]/[3760] Speed: 63.946678 samples/sec accuracy=40.929688 loss=2.598457 lr=0.103885 Epoch[050] Batch [0249]/[3760] Speed: 64.736977 samples/sec accuracy=40.718750 loss=2.610081 lr=0.103879 Epoch[050] Batch [0299]/[3760] Speed: 64.045721 samples/sec accuracy=40.484375 loss=2.621812 lr=0.103873 Epoch[050] Batch [0349]/[3760] Speed: 64.705529 samples/sec accuracy=40.508929 loss=2.624137 lr=0.103867 Epoch[050] Batch 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accuracy=40.369485 loss=2.634714 lr=0.103806 Epoch[050] Batch [0899]/[3760] Speed: 64.050395 samples/sec accuracy=40.248264 loss=2.638069 lr=0.103799 Epoch[050] Batch [0949]/[3760] Speed: 64.772136 samples/sec accuracy=40.289474 loss=2.639027 lr=0.103793 Epoch[050] Batch [0999]/[3760] Speed: 64.381341 samples/sec accuracy=40.290625 loss=2.637725 lr=0.103787 Epoch[050] Batch [1049]/[3760] Speed: 64.270952 samples/sec accuracy=40.244048 loss=2.637334 lr=0.103781 Epoch[050] Batch [1099]/[3760] Speed: 63.914986 samples/sec accuracy=40.279830 loss=2.636124 lr=0.103775 Epoch[050] Batch [1149]/[3760] Speed: 64.478665 samples/sec accuracy=40.283967 loss=2.634612 lr=0.103769 Epoch[050] Batch [1199]/[3760] Speed: 64.523454 samples/sec accuracy=40.319010 loss=2.631979 lr=0.103762 Epoch[050] Batch [1249]/[3760] Speed: 64.010432 samples/sec accuracy=40.303750 loss=2.632959 lr=0.103756 Epoch[050] Batch [1299]/[3760] Speed: 64.451928 samples/sec accuracy=40.274038 loss=2.634242 lr=0.103750 Epoch[050] 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accuracy=40.072049 loss=2.639742 lr=0.103688 Epoch[050] Batch [1849]/[3760] Speed: 64.653025 samples/sec accuracy=40.078547 loss=2.640663 lr=0.103682 Epoch[050] Batch [1899]/[3760] Speed: 64.136456 samples/sec accuracy=40.024671 loss=2.642359 lr=0.103676 Epoch[050] Batch [1949]/[3760] Speed: 64.888064 samples/sec accuracy=40.024840 loss=2.641117 lr=0.103669 Epoch[050] Batch [1999]/[3760] Speed: 63.809450 samples/sec accuracy=40.017969 loss=2.641035 lr=0.103663 Epoch[050] Batch [2049]/[3760] Speed: 64.502744 samples/sec accuracy=40.041159 loss=2.640426 lr=0.103657 Epoch[050] Batch [2099]/[3760] Speed: 64.166671 samples/sec accuracy=40.057292 loss=2.639561 lr=0.103651 Epoch[050] Batch [2149]/[3760] Speed: 63.831704 samples/sec accuracy=40.009448 loss=2.641426 lr=0.103644 Epoch[050] Batch [2199]/[3760] Speed: 65.133436 samples/sec accuracy=40.019886 loss=2.640443 lr=0.103638 Epoch[050] Batch [2249]/[3760] Speed: 63.849297 samples/sec accuracy=40.013194 loss=2.641402 lr=0.103632 Epoch[050] 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accuracy=39.995455 loss=2.642224 lr=0.103569 Epoch[050] Batch [2799]/[3760] Speed: 64.332018 samples/sec accuracy=40.003348 loss=2.642221 lr=0.103563 Epoch[050] Batch [2849]/[3760] Speed: 64.034237 samples/sec accuracy=40.000000 loss=2.642641 lr=0.103557 Epoch[050] Batch [2899]/[3760] Speed: 63.832389 samples/sec accuracy=39.986530 loss=2.643914 lr=0.103551 Epoch[050] Batch [2949]/[3760] Speed: 64.342971 samples/sec accuracy=39.986758 loss=2.643868 lr=0.103544 Epoch[050] Batch [2999]/[3760] Speed: 64.197201 samples/sec accuracy=39.982812 loss=2.643847 lr=0.103538 Epoch[050] Batch [3049]/[3760] Speed: 63.858600 samples/sec accuracy=39.989754 loss=2.644056 lr=0.103532 Epoch[050] Batch [3099]/[3760] Speed: 64.598101 samples/sec accuracy=39.989919 loss=2.643176 lr=0.103525 Epoch[050] Batch [3149]/[3760] Speed: 64.103384 samples/sec accuracy=39.998016 loss=2.643678 lr=0.103519 Epoch[050] Batch [3199]/[3760] Speed: 64.199409 samples/sec accuracy=39.987793 loss=2.643723 lr=0.103513 Epoch[050] 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accuracy=39.922297 loss=2.645714 lr=0.103450 Epoch[050] Batch [3749]/[3760] Speed: 67.985773 samples/sec accuracy=39.923333 loss=2.645251 lr=0.103443 Batch [0049]/[0303]: acc-top1=38.875000 acc-top5=66.875000 Batch [0099]/[0303]: acc-top1=39.250000 acc-top5=67.187500 Batch [0149]/[0303]: acc-top1=39.010417 acc-top5=66.989583 Batch [0199]/[0303]: acc-top1=38.898438 acc-top5=66.757812 Batch [0249]/[0303]: acc-top1=39.081250 acc-top5=66.962500 Batch [0299]/[0303]: acc-top1=39.052083 acc-top5=66.875000 [Epoch 050] training: accuracy=39.928939 loss=2.644925 [Epoch 050] speed: 63 samples/sec time cost: 4059.241585 [Epoch 050] validation: acc-top1=39.067657 acc-top5=66.862624 loss=2.951008 Epoch[051] Batch [0049]/[3760] Speed: 43.009715 samples/sec accuracy=41.031250 loss=2.569911 lr=0.103436 Epoch[051] Batch [0099]/[3760] Speed: 62.285341 samples/sec accuracy=40.390625 loss=2.603047 lr=0.103429 Epoch[051] Batch [0149]/[3760] Speed: 63.917544 samples/sec accuracy=40.364583 loss=2.605780 lr=0.103423 Epoch[051] Batch [0199]/[3760] Speed: 63.796694 samples/sec accuracy=40.468750 loss=2.602654 lr=0.103417 Epoch[051] Batch [0249]/[3760] Speed: 64.552623 samples/sec accuracy=40.412500 loss=2.616053 lr=0.103410 Epoch[051] Batch [0299]/[3760] Speed: 64.047085 samples/sec accuracy=40.416667 loss=2.611899 lr=0.103404 Epoch[051] Batch [0349]/[3760] Speed: 64.720036 samples/sec accuracy=40.209821 loss=2.619385 lr=0.103398 Epoch[051] Batch [0399]/[3760] Speed: 64.235386 samples/sec accuracy=40.183594 loss=2.615739 lr=0.103391 Epoch[051] Batch [0449]/[3760] Speed: 63.503143 samples/sec accuracy=40.270833 loss=2.611426 lr=0.103385 Epoch[051] Batch [0499]/[3760] Speed: 64.393097 samples/sec accuracy=40.303125 loss=2.609701 lr=0.103379 Epoch[051] Batch [0549]/[3760] Speed: 64.059252 samples/sec accuracy=40.309659 loss=2.609027 lr=0.103372 Epoch[051] Batch [0599]/[3760] Speed: 64.259969 samples/sec accuracy=40.364583 loss=2.612582 lr=0.103366 Epoch[051] Batch [0649]/[3760] Speed: 64.181232 samples/sec accuracy=40.338942 loss=2.611473 lr=0.103360 Epoch[051] Batch [0699]/[3760] Speed: 64.481272 samples/sec accuracy=40.363839 loss=2.607652 lr=0.103353 Epoch[051] Batch [0749]/[3760] Speed: 64.018067 samples/sec accuracy=40.247917 loss=2.611968 lr=0.103347 Epoch[051] Batch [0799]/[3760] Speed: 64.057219 samples/sec accuracy=40.154297 loss=2.611597 lr=0.103341 Epoch[051] Batch [0849]/[3760] Speed: 64.151583 samples/sec accuracy=40.106618 loss=2.616131 lr=0.103334 Epoch[051] Batch [0899]/[3760] Speed: 63.662473 samples/sec accuracy=40.133681 loss=2.616588 lr=0.103328 Epoch[051] Batch [0949]/[3760] Speed: 64.484626 samples/sec accuracy=40.148026 loss=2.614978 lr=0.103321 Epoch[051] Batch [0999]/[3760] Speed: 64.282688 samples/sec accuracy=40.137500 loss=2.616595 lr=0.103315 Epoch[051] Batch [1049]/[3760] Speed: 64.532276 samples/sec accuracy=40.145833 loss=2.617712 lr=0.103309 Epoch[051] Batch [1099]/[3760] Speed: 64.098038 samples/sec accuracy=40.075284 loss=2.622123 lr=0.103302 Epoch[051] Batch [1149]/[3760] Speed: 64.407947 samples/sec accuracy=40.078804 loss=2.621464 lr=0.103296 Epoch[051] Batch [1199]/[3760] Speed: 63.868814 samples/sec accuracy=40.106771 loss=2.619771 lr=0.103289 Epoch[051] Batch [1249]/[3760] Speed: 64.044420 samples/sec accuracy=40.136250 loss=2.619771 lr=0.103283 Epoch[051] Batch [1299]/[3760] Speed: 64.056733 samples/sec accuracy=40.133413 loss=2.622532 lr=0.103277 Epoch[051] Batch [1349]/[3760] Speed: 64.209180 samples/sec accuracy=40.077546 loss=2.623941 lr=0.103270 Epoch[051] Batch [1399]/[3760] Speed: 64.375740 samples/sec accuracy=40.071429 loss=2.624798 lr=0.103264 Epoch[051] Batch [1449]/[3760] Speed: 64.346141 samples/sec accuracy=40.077586 loss=2.623106 lr=0.103257 Epoch[051] Batch [1499]/[3760] Speed: 64.837647 samples/sec accuracy=40.023958 loss=2.624540 lr=0.103251 Epoch[051] Batch [1549]/[3760] Speed: 63.763347 samples/sec accuracy=40.058468 loss=2.623524 lr=0.103245 Epoch[051] Batch [1599]/[3760] Speed: 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lr=0.103180 Epoch[051] Batch [2099]/[3760] Speed: 63.650944 samples/sec accuracy=40.126488 loss=2.627153 lr=0.103174 Epoch[051] Batch [2149]/[3760] Speed: 64.745365 samples/sec accuracy=40.132994 loss=2.626733 lr=0.103167 Epoch[051] Batch [2199]/[3760] Speed: 64.241212 samples/sec accuracy=40.094460 loss=2.628074 lr=0.103161 Epoch[051] Batch [2249]/[3760] Speed: 64.776594 samples/sec accuracy=40.075694 loss=2.629203 lr=0.103155 Epoch[051] Batch [2299]/[3760] Speed: 64.302192 samples/sec accuracy=40.071332 loss=2.628904 lr=0.103148 Epoch[051] Batch [2349]/[3760] Speed: 64.698166 samples/sec accuracy=40.089096 loss=2.628616 lr=0.103142 Epoch[051] Batch [2399]/[3760] Speed: 63.949477 samples/sec accuracy=40.090495 loss=2.628945 lr=0.103135 Epoch[051] Batch [2449]/[3760] Speed: 64.519217 samples/sec accuracy=40.072066 loss=2.629444 lr=0.103129 Epoch[051] Batch [2499]/[3760] Speed: 64.826394 samples/sec accuracy=40.069375 loss=2.630353 lr=0.103122 Epoch[051] Batch [2549]/[3760] Speed: 63.984900 samples/sec accuracy=40.071691 loss=2.630953 lr=0.103116 Epoch[051] Batch [2599]/[3760] Speed: 64.444657 samples/sec accuracy=40.070913 loss=2.631177 lr=0.103109 Epoch[051] Batch [2649]/[3760] Speed: 63.825292 samples/sec accuracy=40.063090 loss=2.632027 lr=0.103103 Epoch[051] Batch [2699]/[3760] Speed: 64.200216 samples/sec accuracy=40.067130 loss=2.632161 lr=0.103096 Epoch[051] Batch [2749]/[3760] Speed: 64.148668 samples/sec accuracy=40.059091 loss=2.632655 lr=0.103090 Epoch[051] Batch [2799]/[3760] Speed: 64.323947 samples/sec accuracy=40.055804 loss=2.632674 lr=0.103083 Epoch[051] Batch [2849]/[3760] Speed: 64.371115 samples/sec accuracy=40.041118 loss=2.632873 lr=0.103077 Epoch[051] Batch [2899]/[3760] Speed: 64.346953 samples/sec accuracy=40.054957 loss=2.632450 lr=0.103070 Epoch[051] Batch [2949]/[3760] Speed: 64.270186 samples/sec accuracy=40.055085 loss=2.632972 lr=0.103064 Epoch[051] Batch [2999]/[3760] Speed: 64.367243 samples/sec accuracy=40.069271 loss=2.632127 lr=0.103057 Epoch[051] Batch [3049]/[3760] Speed: 64.799772 samples/sec accuracy=40.072746 loss=2.632033 lr=0.103051 Epoch[051] Batch [3099]/[3760] Speed: 63.839430 samples/sec accuracy=40.059980 loss=2.633052 lr=0.103044 Epoch[051] Batch [3149]/[3760] Speed: 64.894654 samples/sec accuracy=40.047123 loss=2.633316 lr=0.103038 Epoch[051] Batch [3199]/[3760] Speed: 64.294532 samples/sec accuracy=40.020508 loss=2.634987 lr=0.103031 Epoch[051] Batch [3249]/[3760] Speed: 64.392355 samples/sec accuracy=40.025481 loss=2.635107 lr=0.103025 Epoch[051] Batch [3299]/[3760] Speed: 64.158683 samples/sec accuracy=40.007102 loss=2.635950 lr=0.103018 Epoch[051] Batch [3349]/[3760] Speed: 64.406998 samples/sec accuracy=40.008862 loss=2.635715 lr=0.103012 Epoch[051] Batch [3399]/[3760] Speed: 64.226039 samples/sec accuracy=40.006893 loss=2.635723 lr=0.103005 Epoch[051] Batch [3449]/[3760] Speed: 64.426817 samples/sec accuracy=40.016304 loss=2.635347 lr=0.102999 Epoch[051] Batch [3499]/[3760] Speed: 64.294000 samples/sec accuracy=40.008929 loss=2.636078 lr=0.102992 Epoch[051] Batch [3549]/[3760] Speed: 64.352970 samples/sec accuracy=40.013644 loss=2.635611 lr=0.102986 Epoch[051] Batch [3599]/[3760] Speed: 63.966321 samples/sec accuracy=40.000434 loss=2.635572 lr=0.102979 Epoch[051] Batch [3649]/[3760] Speed: 63.868026 samples/sec accuracy=39.978168 loss=2.636556 lr=0.102973 Epoch[051] Batch [3699]/[3760] Speed: 64.625177 samples/sec accuracy=39.967905 loss=2.636557 lr=0.102966 Epoch[051] Batch [3749]/[3760] Speed: 67.810666 samples/sec accuracy=39.970833 loss=2.637318 lr=0.102960 Batch [0049]/[0303]: acc-top1=38.031250 acc-top5=64.281250 Batch [0099]/[0303]: acc-top1=37.734375 acc-top5=64.906250 Batch [0149]/[0303]: acc-top1=37.000000 acc-top5=64.854167 Batch [0199]/[0303]: acc-top1=37.242188 acc-top5=64.835938 Batch [0249]/[0303]: acc-top1=37.331250 acc-top5=65.025000 Batch [0299]/[0303]: acc-top1=37.505208 acc-top5=64.895833 [Epoch 051] training: accuracy=39.967586 loss=2.637503 [Epoch 051] speed: 63 samples/sec time cost: 4053.689055 [Epoch 051] validation: acc-top1=37.567038 acc-top5=64.903053 loss=3.137706 Epoch[052] Batch [0049]/[3759] Speed: 43.157764 samples/sec accuracy=41.406250 loss=2.607226 lr=0.102952 Epoch[052] Batch [0099]/[3759] Speed: 62.350490 samples/sec accuracy=41.093750 loss=2.592972 lr=0.102945 Epoch[052] Batch [0149]/[3759] Speed: 63.896760 samples/sec accuracy=40.395833 loss=2.616744 lr=0.102939 Epoch[052] Batch [0199]/[3759] Speed: 64.196756 samples/sec accuracy=40.242188 loss=2.622075 lr=0.102932 Epoch[052] Batch [0249]/[3759] Speed: 64.131239 samples/sec accuracy=40.193750 loss=2.616336 lr=0.102926 Epoch[052] Batch [0299]/[3759] Speed: 64.329913 samples/sec accuracy=40.281250 loss=2.611593 lr=0.102919 Epoch[052] Batch [0349]/[3759] Speed: 64.180522 samples/sec accuracy=40.366071 loss=2.616324 lr=0.102912 Epoch[052] Batch [0399]/[3759] Speed: 64.891140 samples/sec accuracy=40.503906 loss=2.611892 lr=0.102906 Epoch[052] Batch 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accuracy=40.260417 loss=2.613434 lr=0.102840 Epoch[052] Batch [0949]/[3759] Speed: 64.771757 samples/sec accuracy=40.266447 loss=2.612069 lr=0.102833 Epoch[052] Batch [0999]/[3759] Speed: 64.188264 samples/sec accuracy=40.320312 loss=2.612805 lr=0.102827 Epoch[052] Batch [1049]/[3759] Speed: 64.118697 samples/sec accuracy=40.306548 loss=2.615087 lr=0.102820 Epoch[052] Batch [1099]/[3759] Speed: 63.647412 samples/sec accuracy=40.326705 loss=2.614685 lr=0.102814 Epoch[052] Batch [1149]/[3759] Speed: 64.530130 samples/sec accuracy=40.241848 loss=2.616767 lr=0.102807 Epoch[052] Batch [1199]/[3759] Speed: 64.093772 samples/sec accuracy=40.221354 loss=2.618147 lr=0.102800 Epoch[052] Batch [1249]/[3759] Speed: 64.463618 samples/sec accuracy=40.227500 loss=2.617244 lr=0.102794 Epoch[052] Batch [1299]/[3759] Speed: 64.114628 samples/sec accuracy=40.210337 loss=2.618639 lr=0.102787 Epoch[052] Batch [1349]/[3759] Speed: 64.080902 samples/sec accuracy=40.234954 loss=2.618237 lr=0.102781 Epoch[052] Batch [1399]/[3759] Speed: 64.279420 samples/sec accuracy=40.282366 loss=2.616837 lr=0.102774 Epoch[052] Batch [1449]/[3759] Speed: 63.776834 samples/sec accuracy=40.278017 loss=2.617387 lr=0.102767 Epoch[052] Batch [1499]/[3759] Speed: 64.791401 samples/sec accuracy=40.329167 loss=2.615395 lr=0.102761 Epoch[052] Batch [1549]/[3759] Speed: 63.847780 samples/sec accuracy=40.372984 loss=2.613833 lr=0.102754 Epoch[052] Batch [1599]/[3759] Speed: 64.284074 samples/sec accuracy=40.380859 loss=2.614240 lr=0.102747 Epoch[052] Batch [1649]/[3759] Speed: 64.219825 samples/sec accuracy=40.305871 loss=2.617376 lr=0.102741 Epoch[052] Batch [1699]/[3759] Speed: 63.878298 samples/sec accuracy=40.297794 loss=2.617839 lr=0.102734 Epoch[052] Batch [1749]/[3759] Speed: 64.351571 samples/sec accuracy=40.292857 loss=2.618174 lr=0.102728 Epoch[052] Batch [1799]/[3759] Speed: 64.316892 samples/sec accuracy=40.291667 loss=2.617941 lr=0.102721 Epoch[052] Batch [1849]/[3759] Speed: 64.470324 samples/sec accuracy=40.296453 loss=2.619420 lr=0.102714 Epoch[052] Batch [1899]/[3759] Speed: 63.829639 samples/sec accuracy=40.291118 loss=2.619365 lr=0.102708 Epoch[052] Batch [1949]/[3759] Speed: 64.389627 samples/sec accuracy=40.334135 loss=2.620145 lr=0.102701 Epoch[052] Batch [1999]/[3759] Speed: 64.195924 samples/sec accuracy=40.351562 loss=2.620167 lr=0.102694 Epoch[052] Batch [2049]/[3759] Speed: 64.500331 samples/sec accuracy=40.308689 loss=2.621770 lr=0.102688 Epoch[052] Batch [2099]/[3759] Speed: 63.622209 samples/sec accuracy=40.302083 loss=2.622192 lr=0.102681 Epoch[052] Batch [2149]/[3759] Speed: 64.359692 samples/sec accuracy=40.287791 loss=2.622619 lr=0.102674 Epoch[052] Batch [2199]/[3759] Speed: 63.955853 samples/sec accuracy=40.300426 loss=2.622522 lr=0.102668 Epoch[052] Batch [2249]/[3759] Speed: 64.507338 samples/sec accuracy=40.263889 loss=2.624065 lr=0.102661 Epoch[052] Batch [2299]/[3759] Speed: 63.767002 samples/sec accuracy=40.204484 loss=2.625393 lr=0.102654 Epoch[052] Batch [2349]/[3759] Speed: 64.674840 samples/sec accuracy=40.212766 loss=2.624539 lr=0.102648 Epoch[052] Batch [2399]/[3759] Speed: 63.962577 samples/sec accuracy=40.224609 loss=2.624587 lr=0.102641 Epoch[052] Batch [2449]/[3759] Speed: 64.227611 samples/sec accuracy=40.224490 loss=2.625330 lr=0.102634 Epoch[052] Batch [2499]/[3759] Speed: 64.352172 samples/sec accuracy=40.220000 loss=2.625396 lr=0.102628 Epoch[052] Batch [2549]/[3759] Speed: 64.127852 samples/sec accuracy=40.224877 loss=2.624206 lr=0.102621 Epoch[052] Batch [2599]/[3759] Speed: 64.008892 samples/sec accuracy=40.189303 loss=2.625561 lr=0.102614 Epoch[052] Batch [2649]/[3759] Speed: 64.158631 samples/sec accuracy=40.183962 loss=2.626725 lr=0.102608 Epoch[052] Batch [2699]/[3759] Speed: 63.339716 samples/sec accuracy=40.158565 loss=2.626161 lr=0.102601 Epoch[052] Batch [2749]/[3759] Speed: 63.978874 samples/sec accuracy=40.164773 loss=2.625783 lr=0.102594 Epoch[052] Batch [2799]/[3759] Speed: 64.530800 samples/sec accuracy=40.149554 loss=2.626816 lr=0.102587 Epoch[052] Batch [2849]/[3759] Speed: 64.371514 samples/sec accuracy=40.124452 loss=2.627777 lr=0.102581 Epoch[052] Batch [2899]/[3759] Speed: 64.580775 samples/sec accuracy=40.115302 loss=2.628407 lr=0.102574 Epoch[052] Batch [2949]/[3759] Speed: 64.324318 samples/sec accuracy=40.086864 loss=2.628832 lr=0.102567 Epoch[052] Batch [2999]/[3759] Speed: 64.666121 samples/sec accuracy=40.073958 loss=2.630069 lr=0.102561 Epoch[052] Batch [3049]/[3759] Speed: 64.242006 samples/sec accuracy=40.039959 loss=2.631493 lr=0.102554 Epoch[052] Batch [3099]/[3759] Speed: 64.517849 samples/sec accuracy=40.005040 loss=2.632858 lr=0.102547 Epoch[052] Batch [3149]/[3759] Speed: 64.212295 samples/sec accuracy=39.997024 loss=2.632874 lr=0.102541 Epoch[052] Batch [3199]/[3759] Speed: 64.546597 samples/sec accuracy=40.002930 loss=2.632399 lr=0.102534 Epoch[052] Batch [3249]/[3759] Speed: 64.204158 samples/sec accuracy=40.004327 loss=2.632131 lr=0.102527 Epoch[052] Batch [3299]/[3759] Speed: 64.364382 samples/sec accuracy=40.017519 loss=2.631377 lr=0.102520 Epoch[052] Batch [3349]/[3759] Speed: 64.000557 samples/sec accuracy=39.988806 loss=2.632217 lr=0.102514 Epoch[052] Batch [3399]/[3759] Speed: 63.435608 samples/sec accuracy=39.972886 loss=2.632546 lr=0.102507 Epoch[052] Batch [3449]/[3759] Speed: 65.059604 samples/sec accuracy=39.968297 loss=2.632623 lr=0.102500 Epoch[052] Batch [3499]/[3759] Speed: 64.046352 samples/sec accuracy=39.957143 loss=2.633227 lr=0.102493 Epoch[052] Batch [3549]/[3759] Speed: 64.650106 samples/sec accuracy=39.944102 loss=2.633568 lr=0.102487 Epoch[052] Batch [3599]/[3759] Speed: 63.600480 samples/sec accuracy=39.947483 loss=2.633653 lr=0.102480 Epoch[052] Batch [3649]/[3759] Speed: 64.427891 samples/sec accuracy=39.971318 loss=2.633499 lr=0.102473 Epoch[052] Batch [3699]/[3759] Speed: 63.688718 samples/sec accuracy=39.960726 loss=2.634165 lr=0.102466 Epoch[052] Batch [3749]/[3759] Speed: 68.079490 samples/sec accuracy=39.955833 loss=2.634071 lr=0.102460 Batch [0049]/[0303]: acc-top1=39.437500 acc-top5=66.281250 Batch [0099]/[0303]: acc-top1=39.578125 acc-top5=66.546875 Batch [0149]/[0303]: acc-top1=39.468750 acc-top5=66.822917 Batch [0199]/[0303]: acc-top1=39.296875 acc-top5=66.781250 Batch [0249]/[0303]: acc-top1=39.250000 acc-top5=66.837500 Batch [0299]/[0303]: acc-top1=39.125000 acc-top5=66.723958 [Epoch 052] training: accuracy=39.959098 loss=2.633909 [Epoch 052] speed: 63 samples/sec time cost: 4057.496104 [Epoch 052] validation: acc-top1=39.165635 acc-top5=66.738861 loss=3.034821 Epoch[053] Batch [0049]/[3760] Speed: 42.178560 samples/sec accuracy=40.562500 loss=2.558534 lr=0.102452 Epoch[053] Batch [0099]/[3760] Speed: 62.621859 samples/sec accuracy=40.671875 loss=2.568482 lr=0.102445 Epoch[053] Batch [0149]/[3760] Speed: 64.151420 samples/sec accuracy=40.864583 loss=2.566311 lr=0.102438 Epoch[053] Batch [0199]/[3760] Speed: 64.007322 samples/sec accuracy=40.750000 loss=2.577461 lr=0.102431 Epoch[053] Batch [0249]/[3760] Speed: 64.920508 samples/sec accuracy=40.612500 loss=2.588804 lr=0.102425 Epoch[053] Batch [0299]/[3760] Speed: 63.708653 samples/sec accuracy=40.473958 loss=2.602778 lr=0.102418 Epoch[053] Batch [0349]/[3760] Speed: 64.545586 samples/sec accuracy=40.415179 loss=2.607190 lr=0.102411 Epoch[053] Batch [0399]/[3760] Speed: 64.168090 samples/sec accuracy=40.457031 loss=2.605468 lr=0.102404 Epoch[053] Batch [0449]/[3760] Speed: 64.045696 samples/sec accuracy=40.489583 loss=2.604839 lr=0.102398 Epoch[053] Batch [0499]/[3760] Speed: 64.059582 samples/sec accuracy=40.550000 loss=2.602771 lr=0.102391 Epoch[053] Batch [0549]/[3760] Speed: 64.288553 samples/sec accuracy=40.576705 loss=2.601729 lr=0.102384 Epoch[053] Batch [0599]/[3760] Speed: 63.980020 samples/sec accuracy=40.632812 loss=2.597914 lr=0.102377 Epoch[053] Batch [0649]/[3760] Speed: 64.539899 samples/sec accuracy=40.658654 loss=2.598800 lr=0.102370 Epoch[053] Batch [0699]/[3760] Speed: 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lr=0.102302 Epoch[053] Batch [1199]/[3760] Speed: 64.506922 samples/sec accuracy=40.494792 loss=2.609312 lr=0.102296 Epoch[053] Batch [1249]/[3760] Speed: 64.166359 samples/sec accuracy=40.486250 loss=2.610861 lr=0.102289 Epoch[053] Batch [1299]/[3760] Speed: 64.452613 samples/sec accuracy=40.469952 loss=2.610473 lr=0.102282 Epoch[053] Batch [1349]/[3760] Speed: 63.926536 samples/sec accuracy=40.458333 loss=2.608544 lr=0.102275 Epoch[053] Batch [1399]/[3760] Speed: 64.456753 samples/sec accuracy=40.464286 loss=2.610844 lr=0.102268 Epoch[053] Batch [1449]/[3760] Speed: 64.255479 samples/sec accuracy=40.437500 loss=2.612124 lr=0.102261 Epoch[053] Batch [1499]/[3760] Speed: 64.567948 samples/sec accuracy=40.393750 loss=2.614491 lr=0.102255 Epoch[053] Batch [1549]/[3760] Speed: 63.863083 samples/sec accuracy=40.362903 loss=2.615455 lr=0.102248 Epoch[053] Batch [1599]/[3760] Speed: 64.705353 samples/sec accuracy=40.360352 loss=2.616450 lr=0.102241 Epoch[053] Batch [1649]/[3760] Speed: 63.981896 samples/sec accuracy=40.370265 loss=2.615615 lr=0.102234 Epoch[053] Batch [1699]/[3760] Speed: 64.207659 samples/sec accuracy=40.326287 loss=2.618401 lr=0.102227 Epoch[053] Batch [1749]/[3760] Speed: 64.538567 samples/sec accuracy=40.324107 loss=2.618513 lr=0.102220 Epoch[053] Batch [1799]/[3760] Speed: 64.307396 samples/sec accuracy=40.317708 loss=2.618772 lr=0.102214 Epoch[053] Batch [1849]/[3760] Speed: 64.903074 samples/sec accuracy=40.314189 loss=2.619639 lr=0.102207 Epoch[053] Batch [1899]/[3760] Speed: 64.199037 samples/sec accuracy=40.314145 loss=2.619739 lr=0.102200 Epoch[053] Batch [1949]/[3760] Speed: 64.525498 samples/sec accuracy=40.332532 loss=2.619658 lr=0.102193 Epoch[053] Batch [1999]/[3760] Speed: 64.265371 samples/sec accuracy=40.316406 loss=2.620519 lr=0.102186 Epoch[053] Batch [2049]/[3760] Speed: 64.350646 samples/sec accuracy=40.282012 loss=2.621020 lr=0.102179 Epoch[053] Batch [2099]/[3760] Speed: 64.196353 samples/sec accuracy=40.282738 loss=2.620743 lr=0.102172 Epoch[053] Batch [2149]/[3760] Speed: 64.236746 samples/sec accuracy=40.252180 loss=2.621717 lr=0.102165 Epoch[053] Batch [2199]/[3760] Speed: 64.297813 samples/sec accuracy=40.288352 loss=2.621130 lr=0.102159 Epoch[053] Batch [2249]/[3760] Speed: 64.435110 samples/sec accuracy=40.279167 loss=2.622236 lr=0.102152 Epoch[053] Batch [2299]/[3760] Speed: 64.005287 samples/sec accuracy=40.265625 loss=2.623067 lr=0.102145 Epoch[053] Batch [2349]/[3760] Speed: 64.384041 samples/sec accuracy=40.282580 loss=2.623071 lr=0.102138 Epoch[053] Batch [2399]/[3760] Speed: 63.728138 samples/sec accuracy=40.260417 loss=2.624158 lr=0.102131 Epoch[053] Batch [2449]/[3760] Speed: 64.449634 samples/sec accuracy=40.278699 loss=2.623684 lr=0.102124 Epoch[053] Batch [2499]/[3760] Speed: 63.985399 samples/sec accuracy=40.295625 loss=2.622351 lr=0.102117 Epoch[053] Batch [2549]/[3760] Speed: 63.761351 samples/sec accuracy=40.273897 loss=2.623221 lr=0.102110 Epoch[053] Batch [2599]/[3760] Speed: 64.991287 samples/sec accuracy=40.292668 loss=2.622320 lr=0.102104 Epoch[053] Batch [2649]/[3760] Speed: 63.791116 samples/sec accuracy=40.288325 loss=2.623480 lr=0.102097 Epoch[053] Batch [2699]/[3760] Speed: 64.524247 samples/sec accuracy=40.278356 loss=2.624579 lr=0.102090 Epoch[053] Batch [2749]/[3760] Speed: 64.045429 samples/sec accuracy=40.293182 loss=2.624273 lr=0.102083 Epoch[053] Batch [2799]/[3760] Speed: 64.026618 samples/sec accuracy=40.308594 loss=2.624156 lr=0.102076 Epoch[053] Batch [2849]/[3760] Speed: 63.768158 samples/sec accuracy=40.304276 loss=2.623964 lr=0.102069 Epoch[053] Batch [2899]/[3760] Speed: 64.576965 samples/sec accuracy=40.322198 loss=2.623050 lr=0.102062 Epoch[053] Batch [2949]/[3760] Speed: 64.096376 samples/sec accuracy=40.332627 loss=2.622956 lr=0.102055 Epoch[053] Batch [2999]/[3760] Speed: 64.401832 samples/sec accuracy=40.344792 loss=2.622343 lr=0.102048 Epoch[053] Batch [3049]/[3760] Speed: 64.494050 samples/sec accuracy=40.340676 loss=2.623387 lr=0.102041 Epoch[053] Batch [3099]/[3760] Speed: 64.377968 samples/sec accuracy=40.356351 loss=2.622387 lr=0.102034 Epoch[053] Batch [3149]/[3760] Speed: 64.408624 samples/sec accuracy=40.354167 loss=2.622821 lr=0.102027 Epoch[053] Batch [3199]/[3760] Speed: 64.609420 samples/sec accuracy=40.329102 loss=2.623878 lr=0.102021 Epoch[053] Batch [3249]/[3760] Speed: 63.792541 samples/sec accuracy=40.337981 loss=2.623216 lr=0.102014 Epoch[053] Batch [3299]/[3760] Speed: 64.572125 samples/sec accuracy=40.323864 loss=2.623682 lr=0.102007 Epoch[053] Batch [3349]/[3760] Speed: 64.276325 samples/sec accuracy=40.303638 loss=2.624478 lr=0.102000 Epoch[053] Batch [3399]/[3760] Speed: 63.628109 samples/sec accuracy=40.298254 loss=2.625111 lr=0.101993 Epoch[053] Batch [3449]/[3760] Speed: 64.865198 samples/sec accuracy=40.284420 loss=2.625132 lr=0.101986 Epoch[053] Batch [3499]/[3760] Speed: 63.389966 samples/sec accuracy=40.276339 loss=2.625577 lr=0.101979 Epoch[053] Batch [3549]/[3760] Speed: 64.338286 samples/sec accuracy=40.293134 loss=2.625217 lr=0.101972 Epoch[053] Batch [3599]/[3760] Speed: 64.042991 samples/sec accuracy=40.279080 loss=2.626308 lr=0.101965 Epoch[053] Batch [3649]/[3760] Speed: 64.056832 samples/sec accuracy=40.279966 loss=2.626726 lr=0.101958 Epoch[053] Batch [3699]/[3760] Speed: 63.990229 samples/sec accuracy=40.282095 loss=2.627007 lr=0.101951 Epoch[053] Batch [3749]/[3760] Speed: 67.803850 samples/sec accuracy=40.265833 loss=2.627407 lr=0.101944 Batch [0049]/[0303]: acc-top1=39.562500 acc-top5=66.437500 Batch [0099]/[0303]: acc-top1=38.671875 acc-top5=67.093750 Batch [0149]/[0303]: acc-top1=38.708333 acc-top5=66.979167 Batch [0199]/[0303]: acc-top1=38.664062 acc-top5=66.718750 Batch [0249]/[0303]: acc-top1=39.025000 acc-top5=66.887500 Batch [0299]/[0303]: acc-top1=38.953125 acc-top5=66.760417 [Epoch 053] training: accuracy=40.257646 loss=2.627581 [Epoch 053] speed: 63 samples/sec time cost: 4056.629426 [Epoch 053] validation: acc-top1=38.964521 acc-top5=66.764645 loss=3.045029 Epoch[054] Batch [0049]/[3760] Speed: 42.179032 samples/sec accuracy=41.781250 loss=2.519472 lr=0.101936 Epoch[054] Batch [0099]/[3760] Speed: 62.614376 samples/sec accuracy=40.718750 loss=2.580708 lr=0.101929 Epoch[054] Batch [0149]/[3760] Speed: 63.979129 samples/sec accuracy=41.229167 loss=2.576656 lr=0.101922 Epoch[054] Batch [0199]/[3760] Speed: 63.454314 samples/sec accuracy=41.070312 loss=2.585726 lr=0.101915 Epoch[054] Batch [0249]/[3760] Speed: 64.530010 samples/sec accuracy=41.068750 loss=2.592264 lr=0.101908 Epoch[054] Batch [0299]/[3760] Speed: 63.191952 samples/sec accuracy=41.114583 loss=2.588605 lr=0.101901 Epoch[054] Batch [0349]/[3760] Speed: 65.129457 samples/sec accuracy=41.191964 loss=2.592986 lr=0.101894 Epoch[054] Batch [0399]/[3760] Speed: 63.197426 samples/sec accuracy=41.265625 loss=2.591152 lr=0.101887 Epoch[054] Batch [0449]/[3760] Speed: 64.489308 samples/sec accuracy=41.309028 loss=2.583610 lr=0.101880 Epoch[054] Batch 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accuracy=41.034539 loss=2.600467 lr=0.101810 Epoch[054] Batch [0999]/[3760] Speed: 64.367931 samples/sec accuracy=40.981250 loss=2.603249 lr=0.101803 Epoch[054] Batch [1049]/[3760] Speed: 64.079886 samples/sec accuracy=40.940476 loss=2.604253 lr=0.101796 Epoch[054] Batch [1099]/[3760] Speed: 64.342114 samples/sec accuracy=40.948864 loss=2.602166 lr=0.101789 Epoch[054] Batch [1149]/[3760] Speed: 63.922076 samples/sec accuracy=40.894022 loss=2.602612 lr=0.101782 Epoch[054] Batch [1199]/[3760] Speed: 64.591103 samples/sec accuracy=40.843750 loss=2.603694 lr=0.101775 Epoch[054] Batch [1249]/[3760] Speed: 63.979148 samples/sec accuracy=40.792500 loss=2.606114 lr=0.101768 Epoch[054] Batch [1299]/[3760] Speed: 64.750564 samples/sec accuracy=40.706731 loss=2.608240 lr=0.101761 Epoch[054] Batch [1349]/[3760] Speed: 64.043786 samples/sec accuracy=40.629630 loss=2.610479 lr=0.101754 Epoch[054] Batch [1399]/[3760] Speed: 64.741444 samples/sec accuracy=40.572545 loss=2.612388 lr=0.101747 Epoch[054] 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accuracy=40.416941 loss=2.619723 lr=0.101676 Epoch[054] Batch [1949]/[3760] Speed: 63.937829 samples/sec accuracy=40.388622 loss=2.620183 lr=0.101669 Epoch[054] Batch [1999]/[3760] Speed: 64.386490 samples/sec accuracy=40.411719 loss=2.619308 lr=0.101662 Epoch[054] Batch [2049]/[3760] Speed: 63.894702 samples/sec accuracy=40.380335 loss=2.620089 lr=0.101655 Epoch[054] Batch [2099]/[3760] Speed: 64.460044 samples/sec accuracy=40.369792 loss=2.621303 lr=0.101648 Epoch[054] Batch [2149]/[3760] Speed: 63.954034 samples/sec accuracy=40.335029 loss=2.621734 lr=0.101641 Epoch[054] Batch [2199]/[3760] Speed: 64.742646 samples/sec accuracy=40.322443 loss=2.622586 lr=0.101634 Epoch[054] Batch [2249]/[3760] Speed: 63.701389 samples/sec accuracy=40.309028 loss=2.621814 lr=0.101627 Epoch[054] Batch [2299]/[3760] Speed: 64.200880 samples/sec accuracy=40.307745 loss=2.621116 lr=0.101620 Epoch[054] Batch [2349]/[3760] Speed: 64.610831 samples/sec accuracy=40.270612 loss=2.622554 lr=0.101612 Epoch[054] 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accuracy=40.194079 loss=2.627785 lr=0.101541 Epoch[054] Batch [2899]/[3760] Speed: 64.299653 samples/sec accuracy=40.183190 loss=2.628695 lr=0.101534 Epoch[054] Batch [2949]/[3760] Speed: 64.398606 samples/sec accuracy=40.158369 loss=2.630222 lr=0.101527 Epoch[054] Batch [2999]/[3760] Speed: 63.960082 samples/sec accuracy=40.180729 loss=2.629795 lr=0.101520 Epoch[054] Batch [3049]/[3760] Speed: 63.875192 samples/sec accuracy=40.181865 loss=2.628536 lr=0.101513 Epoch[054] Batch [3099]/[3760] Speed: 64.151042 samples/sec accuracy=40.184476 loss=2.628486 lr=0.101506 Epoch[054] Batch [3149]/[3760] Speed: 64.434069 samples/sec accuracy=40.175099 loss=2.629114 lr=0.101499 Epoch[054] Batch [3199]/[3760] Speed: 64.228453 samples/sec accuracy=40.192383 loss=2.627937 lr=0.101491 Epoch[054] Batch [3249]/[3760] Speed: 64.182604 samples/sec accuracy=40.206731 loss=2.627978 lr=0.101484 Epoch[054] Batch [3299]/[3760] Speed: 64.561932 samples/sec accuracy=40.182765 loss=2.628678 lr=0.101477 Epoch[054] Batch [3349]/[3760] Speed: 64.094404 samples/sec accuracy=40.194030 loss=2.628746 lr=0.101470 Epoch[054] Batch [3399]/[3760] Speed: 64.427183 samples/sec accuracy=40.198989 loss=2.628563 lr=0.101463 Epoch[054] Batch [3449]/[3760] Speed: 63.858598 samples/sec accuracy=40.202899 loss=2.627918 lr=0.101456 Epoch[054] Batch [3499]/[3760] Speed: 64.772458 samples/sec accuracy=40.194643 loss=2.628368 lr=0.101449 Epoch[054] Batch [3549]/[3760] Speed: 63.825157 samples/sec accuracy=40.186620 loss=2.628775 lr=0.101441 Epoch[054] Batch [3599]/[3760] Speed: 64.666462 samples/sec accuracy=40.174479 loss=2.629303 lr=0.101434 Epoch[054] Batch [3649]/[3760] Speed: 64.167781 samples/sec accuracy=40.181507 loss=2.629250 lr=0.101427 Epoch[054] Batch [3699]/[3760] Speed: 64.769476 samples/sec accuracy=40.168919 loss=2.629951 lr=0.101420 Epoch[054] Batch [3749]/[3760] Speed: 67.775700 samples/sec accuracy=40.184167 loss=2.629623 lr=0.101413 Batch [0049]/[0303]: acc-top1=37.062500 acc-top5=65.031250 Batch [0099]/[0303]: acc-top1=37.343750 acc-top5=65.578125 Batch [0149]/[0303]: acc-top1=37.614583 acc-top5=65.875000 Batch [0199]/[0303]: acc-top1=37.789062 acc-top5=65.734375 Batch [0249]/[0303]: acc-top1=38.006250 acc-top5=66.093750 Batch [0299]/[0303]: acc-top1=37.932292 acc-top5=65.958333 [Epoch 054] training: accuracy=40.183677 loss=2.629831 [Epoch 054] speed: 63 samples/sec time cost: 4054.609337 [Epoch 054] validation: acc-top1=37.969266 acc-top5=65.939563 loss=3.132524 Epoch[055] Batch [0049]/[3759] Speed: 42.881940 samples/sec accuracy=42.156250 loss=2.538992 lr=0.101404 Epoch[055] Batch [0099]/[3759] Speed: 62.519641 samples/sec accuracy=40.546875 loss=2.591980 lr=0.101397 Epoch[055] Batch [0149]/[3759] Speed: 64.141143 samples/sec accuracy=40.208333 loss=2.597459 lr=0.101390 Epoch[055] Batch [0199]/[3759] Speed: 63.414950 samples/sec accuracy=40.171875 loss=2.594404 lr=0.101383 Epoch[055] Batch [0249]/[3759] Speed: 64.480549 samples/sec accuracy=40.212500 loss=2.598130 lr=0.101375 Epoch[055] Batch [0299]/[3759] Speed: 63.710785 samples/sec accuracy=40.177083 loss=2.599746 lr=0.101368 Epoch[055] Batch [0349]/[3759] Speed: 64.507633 samples/sec accuracy=40.406250 loss=2.593905 lr=0.101361 Epoch[055] Batch [0399]/[3759] Speed: 64.545098 samples/sec accuracy=40.500000 loss=2.594048 lr=0.101354 Epoch[055] Batch [0449]/[3759] Speed: 64.275368 samples/sec accuracy=40.468750 loss=2.594549 lr=0.101347 Epoch[055] Batch [0499]/[3759] Speed: 63.947765 samples/sec accuracy=40.559375 loss=2.587431 lr=0.101339 Epoch[055] Batch [0549]/[3759] Speed: 64.136775 samples/sec accuracy=40.545455 loss=2.588427 lr=0.101332 Epoch[055] Batch [0599]/[3759] Speed: 64.292846 samples/sec accuracy=40.554688 loss=2.591750 lr=0.101325 Epoch[055] Batch [0649]/[3759] Speed: 63.435489 samples/sec accuracy=40.661058 loss=2.590324 lr=0.101318 Epoch[055] Batch [0699]/[3759] Speed: 64.571307 samples/sec accuracy=40.680804 loss=2.593812 lr=0.101311 Epoch[055] Batch [0749]/[3759] Speed: 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lr=0.101100 Epoch[055] Batch [2199]/[3759] Speed: 63.483376 samples/sec accuracy=40.364347 loss=2.607834 lr=0.101093 Epoch[055] Batch [2249]/[3759] Speed: 64.731443 samples/sec accuracy=40.360417 loss=2.609100 lr=0.101086 Epoch[055] Batch [2299]/[3759] Speed: 63.872987 samples/sec accuracy=40.366168 loss=2.608509 lr=0.101079 Epoch[055] Batch [2349]/[3759] Speed: 64.478752 samples/sec accuracy=40.392952 loss=2.608018 lr=0.101071 Epoch[055] Batch [2399]/[3759] Speed: 63.982566 samples/sec accuracy=40.397135 loss=2.608039 lr=0.101064 Epoch[055] Batch [2449]/[3759] Speed: 64.712015 samples/sec accuracy=40.373724 loss=2.609160 lr=0.101057 Epoch[055] Batch [2499]/[3759] Speed: 64.079418 samples/sec accuracy=40.380000 loss=2.608981 lr=0.101049 Epoch[055] Batch [2549]/[3759] Speed: 64.661489 samples/sec accuracy=40.337623 loss=2.610985 lr=0.101042 Epoch[055] Batch [2599]/[3759] Speed: 63.960533 samples/sec accuracy=40.321514 loss=2.611501 lr=0.101035 Epoch[055] Batch [2649]/[3759] Speed: 65.017666 samples/sec accuracy=40.320755 loss=2.612083 lr=0.101027 Epoch[055] Batch [2699]/[3759] Speed: 64.359256 samples/sec accuracy=40.313079 loss=2.612071 lr=0.101020 Epoch[055] Batch [2749]/[3759] Speed: 64.239342 samples/sec accuracy=40.318182 loss=2.611730 lr=0.101013 Epoch[055] Batch [2799]/[3759] Speed: 64.394394 samples/sec accuracy=40.304688 loss=2.612978 lr=0.101005 Epoch[055] Batch [2849]/[3759] Speed: 64.304565 samples/sec accuracy=40.296601 loss=2.613120 lr=0.100998 Epoch[055] Batch [2899]/[3759] Speed: 64.530389 samples/sec accuracy=40.266703 loss=2.614139 lr=0.100991 Epoch[055] Batch [2949]/[3759] Speed: 64.231825 samples/sec accuracy=40.244174 loss=2.615335 lr=0.100984 Epoch[055] Batch [2999]/[3759] Speed: 64.663494 samples/sec accuracy=40.247396 loss=2.615297 lr=0.100976 Epoch[055] Batch [3049]/[3759] Speed: 64.441051 samples/sec accuracy=40.233094 loss=2.615445 lr=0.100969 Epoch[055] Batch [3099]/[3759] Speed: 63.820729 samples/sec accuracy=40.232863 loss=2.615606 lr=0.100962 Epoch[055] Batch [3149]/[3759] Speed: 64.610043 samples/sec accuracy=40.229167 loss=2.616425 lr=0.100954 Epoch[055] Batch [3199]/[3759] Speed: 64.301546 samples/sec accuracy=40.238770 loss=2.616379 lr=0.100947 Epoch[055] Batch [3249]/[3759] Speed: 64.501147 samples/sec accuracy=40.226442 loss=2.616466 lr=0.100939 Epoch[055] Batch [3299]/[3759] Speed: 64.214410 samples/sec accuracy=40.234375 loss=2.616213 lr=0.100932 Epoch[055] Batch [3349]/[3759] Speed: 64.369581 samples/sec accuracy=40.231810 loss=2.616476 lr=0.100925 Epoch[055] Batch [3399]/[3759] Speed: 64.421539 samples/sec accuracy=40.234375 loss=2.617024 lr=0.100917 Epoch[055] Batch [3449]/[3759] Speed: 64.409411 samples/sec accuracy=40.230978 loss=2.617637 lr=0.100910 Epoch[055] Batch [3499]/[3759] Speed: 64.402619 samples/sec accuracy=40.227679 loss=2.617319 lr=0.100903 Epoch[055] Batch [3549]/[3759] Speed: 64.824296 samples/sec accuracy=40.246039 loss=2.616413 lr=0.100895 Epoch[055] Batch [3599]/[3759] Speed: 64.270713 samples/sec accuracy=40.262587 loss=2.616247 lr=0.100888 Epoch[055] Batch [3649]/[3759] Speed: 64.399642 samples/sec accuracy=40.283390 loss=2.615307 lr=0.100881 Epoch[055] Batch [3699]/[3759] Speed: 64.244821 samples/sec accuracy=40.280828 loss=2.615393 lr=0.100873 Epoch[055] Batch [3749]/[3759] Speed: 67.913115 samples/sec accuracy=40.282917 loss=2.615915 lr=0.100866 Batch [0049]/[0303]: acc-top1=39.125000 acc-top5=65.656250 Batch [0099]/[0303]: acc-top1=39.031250 acc-top5=65.703125 Batch [0149]/[0303]: acc-top1=38.781250 acc-top5=65.906250 Batch [0199]/[0303]: acc-top1=38.804688 acc-top5=65.960938 Batch [0249]/[0303]: acc-top1=39.031250 acc-top5=66.325000 Batch [0299]/[0303]: acc-top1=39.078125 acc-top5=66.182292 [Epoch 055] training: accuracy=40.289139 loss=2.615766 [Epoch 055] speed: 63 samples/sec time cost: 4055.887815 [Epoch 055] validation: acc-top1=39.114068 acc-top5=66.166460 loss=2.977643 Epoch[056] Batch [0049]/[3760] Speed: 42.531990 samples/sec accuracy=41.125000 loss=2.579567 lr=0.100857 Epoch[056] Batch [0099]/[3760] Speed: 62.181038 samples/sec accuracy=41.250000 loss=2.573199 lr=0.100850 Epoch[056] Batch [0149]/[3760] Speed: 64.672364 samples/sec accuracy=41.041667 loss=2.571476 lr=0.100842 Epoch[056] Batch [0199]/[3760] Speed: 63.280783 samples/sec accuracy=40.875000 loss=2.572407 lr=0.100835 Epoch[056] Batch [0249]/[3760] Speed: 64.774250 samples/sec accuracy=40.450000 loss=2.594973 lr=0.100828 Epoch[056] Batch [0299]/[3760] Speed: 64.045565 samples/sec accuracy=40.609375 loss=2.583273 lr=0.100820 Epoch[056] Batch [0349]/[3760] Speed: 64.842105 samples/sec accuracy=40.647321 loss=2.582713 lr=0.100813 Epoch[056] Batch [0399]/[3760] Speed: 63.911312 samples/sec accuracy=40.671875 loss=2.583408 lr=0.100805 Epoch[056] Batch [0449]/[3760] Speed: 64.536651 samples/sec accuracy=40.635417 loss=2.589304 lr=0.100798 Epoch[056] Batch [0499]/[3760] Speed: 64.232313 samples/sec accuracy=40.503125 loss=2.591437 lr=0.100791 Epoch[056] 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accuracy=40.700000 loss=2.595142 lr=0.100717 Epoch[056] Batch [1049]/[3760] Speed: 64.316860 samples/sec accuracy=40.730655 loss=2.593515 lr=0.100709 Epoch[056] Batch [1099]/[3760] Speed: 63.441457 samples/sec accuracy=40.674716 loss=2.597036 lr=0.100702 Epoch[056] Batch [1149]/[3760] Speed: 64.812889 samples/sec accuracy=40.684783 loss=2.597197 lr=0.100694 Epoch[056] Batch [1199]/[3760] Speed: 64.809066 samples/sec accuracy=40.664062 loss=2.597223 lr=0.100687 Epoch[056] Batch [1249]/[3760] Speed: 64.195591 samples/sec accuracy=40.613750 loss=2.599149 lr=0.100679 Epoch[056] Batch [1299]/[3760] Speed: 64.306138 samples/sec accuracy=40.609375 loss=2.599550 lr=0.100672 Epoch[056] Batch [1349]/[3760] Speed: 64.569067 samples/sec accuracy=40.575231 loss=2.602904 lr=0.100664 Epoch[056] Batch [1399]/[3760] Speed: 64.450835 samples/sec accuracy=40.535714 loss=2.603702 lr=0.100657 Epoch[056] Batch [1449]/[3760] Speed: 64.562348 samples/sec accuracy=40.576509 loss=2.602471 lr=0.100650 Epoch[056] 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accuracy=40.491987 loss=2.607012 lr=0.100575 Epoch[056] Batch [1999]/[3760] Speed: 64.544229 samples/sec accuracy=40.515625 loss=2.607261 lr=0.100567 Epoch[056] Batch [2049]/[3760] Speed: 64.765555 samples/sec accuracy=40.506098 loss=2.606841 lr=0.100560 Epoch[056] Batch [2099]/[3760] Speed: 64.429486 samples/sec accuracy=40.498512 loss=2.607862 lr=0.100552 Epoch[056] Batch [2149]/[3760] Speed: 64.487274 samples/sec accuracy=40.523256 loss=2.607634 lr=0.100545 Epoch[056] Batch [2199]/[3760] Speed: 64.426472 samples/sec accuracy=40.530540 loss=2.607342 lr=0.100537 Epoch[056] Batch [2249]/[3760] Speed: 64.966215 samples/sec accuracy=40.527778 loss=2.607245 lr=0.100530 Epoch[056] Batch [2299]/[3760] Speed: 64.525249 samples/sec accuracy=40.520380 loss=2.607525 lr=0.100522 Epoch[056] Batch [2349]/[3760] Speed: 64.696016 samples/sec accuracy=40.513963 loss=2.607760 lr=0.100515 Epoch[056] Batch [2399]/[3760] Speed: 64.366964 samples/sec accuracy=40.542969 loss=2.606257 lr=0.100507 Epoch[056] 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accuracy=40.510776 loss=2.608641 lr=0.100432 Epoch[056] Batch [2949]/[3760] Speed: 63.987865 samples/sec accuracy=40.483581 loss=2.609574 lr=0.100425 Epoch[056] Batch [2999]/[3760] Speed: 64.968680 samples/sec accuracy=40.467708 loss=2.610470 lr=0.100417 Epoch[056] Batch [3049]/[3760] Speed: 64.365167 samples/sec accuracy=40.458504 loss=2.611463 lr=0.100410 Epoch[056] Batch [3099]/[3760] Speed: 65.086441 samples/sec accuracy=40.454637 loss=2.611884 lr=0.100402 Epoch[056] Batch [3149]/[3760] Speed: 64.027083 samples/sec accuracy=40.446429 loss=2.612359 lr=0.100395 Epoch[056] Batch [3199]/[3760] Speed: 64.710139 samples/sec accuracy=40.447266 loss=2.612614 lr=0.100387 Epoch[056] Batch [3249]/[3760] Speed: 64.166786 samples/sec accuracy=40.456250 loss=2.612129 lr=0.100379 Epoch[056] Batch [3299]/[3760] Speed: 64.308031 samples/sec accuracy=40.447917 loss=2.612707 lr=0.100372 Epoch[056] Batch [3349]/[3760] Speed: 63.721923 samples/sec accuracy=40.462687 loss=2.612247 lr=0.100364 Epoch[056] Batch [3399]/[3760] Speed: 64.980357 samples/sec accuracy=40.457721 loss=2.613190 lr=0.100357 Epoch[056] Batch [3449]/[3760] Speed: 64.202345 samples/sec accuracy=40.469203 loss=2.613694 lr=0.100349 Epoch[056] Batch [3499]/[3760] Speed: 64.523086 samples/sec accuracy=40.446429 loss=2.614983 lr=0.100342 Epoch[056] Batch [3549]/[3760] Speed: 63.908617 samples/sec accuracy=40.439261 loss=2.615538 lr=0.100334 Epoch[056] Batch [3599]/[3760] Speed: 64.819321 samples/sec accuracy=40.440538 loss=2.616076 lr=0.100327 Epoch[056] Batch [3649]/[3760] Speed: 63.940765 samples/sec accuracy=40.443065 loss=2.615502 lr=0.100319 Epoch[056] Batch [3699]/[3760] Speed: 65.226943 samples/sec accuracy=40.440034 loss=2.615570 lr=0.100311 Epoch[056] Batch [3749]/[3760] Speed: 68.072811 samples/sec accuracy=40.440000 loss=2.615688 lr=0.100304 Batch [0049]/[0303]: acc-top1=40.625000 acc-top5=67.687500 Batch [0099]/[0303]: acc-top1=41.187500 acc-top5=67.937500 Batch [0149]/[0303]: acc-top1=41.364583 acc-top5=68.104167 Batch [0199]/[0303]: acc-top1=41.234375 acc-top5=68.132812 Batch [0249]/[0303]: acc-top1=41.406250 acc-top5=68.531250 Batch [0299]/[0303]: acc-top1=41.281250 acc-top5=68.432292 [Epoch 056] training: accuracy=40.440492 loss=2.615429 [Epoch 056] speed: 63 samples/sec time cost: 4044.324260 [Epoch 056] validation: acc-top1=41.305693 acc-top5=68.435437 loss=2.714988 Epoch[057] Batch [0049]/[3760] Speed: 42.393895 samples/sec accuracy=40.843750 loss=2.529443 lr=0.100295 Epoch[057] Batch [0099]/[3760] Speed: 62.794683 samples/sec accuracy=41.343750 loss=2.547490 lr=0.100287 Epoch[057] Batch [0149]/[3760] Speed: 64.001378 samples/sec accuracy=41.906250 loss=2.544025 lr=0.100280 Epoch[057] Batch [0199]/[3760] Speed: 63.638855 samples/sec accuracy=41.242188 loss=2.567887 lr=0.100272 Epoch[057] Batch [0249]/[3760] Speed: 65.085583 samples/sec accuracy=41.212500 loss=2.572123 lr=0.100264 Epoch[057] Batch [0299]/[3760] Speed: 63.912557 samples/sec accuracy=41.083333 loss=2.571985 lr=0.100257 Epoch[057] Batch [0349]/[3760] Speed: 64.335760 samples/sec accuracy=41.044643 loss=2.578551 lr=0.100249 Epoch[057] Batch [0399]/[3760] Speed: 64.555177 samples/sec accuracy=41.128906 loss=2.578364 lr=0.100242 Epoch[057] Batch [0449]/[3760] Speed: 64.573632 samples/sec accuracy=41.000000 loss=2.580116 lr=0.100234 Epoch[057] Batch [0499]/[3760] Speed: 64.563205 samples/sec accuracy=40.996875 loss=2.578923 lr=0.100226 Epoch[057] Batch [0549]/[3760] Speed: 64.361828 samples/sec accuracy=41.022727 loss=2.576430 lr=0.100219 Epoch[057] Batch [0599]/[3760] Speed: 64.443888 samples/sec accuracy=41.026042 loss=2.577562 lr=0.100211 Epoch[057] Batch [0649]/[3760] Speed: 64.649405 samples/sec accuracy=41.036058 loss=2.576258 lr=0.100204 Epoch[057] Batch [0699]/[3760] Speed: 64.416472 samples/sec accuracy=41.051339 loss=2.573846 lr=0.100196 Epoch[057] Batch [0749]/[3760] Speed: 64.910164 samples/sec accuracy=41.037500 loss=2.576446 lr=0.100188 Epoch[057] Batch 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accuracy=41.105000 loss=2.577873 lr=0.100112 Epoch[057] Batch [1299]/[3760] Speed: 64.307929 samples/sec accuracy=41.088942 loss=2.578206 lr=0.100104 Epoch[057] Batch [1349]/[3760] Speed: 65.113832 samples/sec accuracy=41.045139 loss=2.580281 lr=0.100097 Epoch[057] Batch [1399]/[3760] Speed: 63.919559 samples/sec accuracy=41.021205 loss=2.580954 lr=0.100089 Epoch[057] Batch [1449]/[3760] Speed: 64.809478 samples/sec accuracy=41.042026 loss=2.580418 lr=0.100081 Epoch[057] Batch [1499]/[3760] Speed: 64.109205 samples/sec accuracy=41.033333 loss=2.581313 lr=0.100074 Epoch[057] Batch [1549]/[3760] Speed: 64.510937 samples/sec accuracy=41.004032 loss=2.582650 lr=0.100066 Epoch[057] Batch [1599]/[3760] Speed: 64.564471 samples/sec accuracy=40.976562 loss=2.585115 lr=0.100058 Epoch[057] Batch [1649]/[3760] Speed: 64.446922 samples/sec accuracy=40.950758 loss=2.588031 lr=0.100051 Epoch[057] Batch [1699]/[3760] Speed: 64.561329 samples/sec accuracy=40.960478 loss=2.588646 lr=0.100043 Epoch[057] 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accuracy=40.860085 loss=2.597234 lr=0.099966 Epoch[057] Batch [2249]/[3760] Speed: 64.623747 samples/sec accuracy=40.859722 loss=2.597107 lr=0.099959 Epoch[057] Batch [2299]/[3760] Speed: 64.384776 samples/sec accuracy=40.881793 loss=2.597187 lr=0.099951 Epoch[057] Batch [2349]/[3760] Speed: 64.685237 samples/sec accuracy=40.864362 loss=2.597108 lr=0.099943 Epoch[057] Batch [2399]/[3760] Speed: 64.050068 samples/sec accuracy=40.832682 loss=2.597499 lr=0.099936 Epoch[057] Batch [2449]/[3760] Speed: 64.598572 samples/sec accuracy=40.808036 loss=2.598086 lr=0.099928 Epoch[057] Batch [2499]/[3760] Speed: 64.466960 samples/sec accuracy=40.820625 loss=2.597807 lr=0.099920 Epoch[057] Batch [2549]/[3760] Speed: 64.307612 samples/sec accuracy=40.805147 loss=2.598997 lr=0.099912 Epoch[057] Batch [2599]/[3760] Speed: 64.335426 samples/sec accuracy=40.808293 loss=2.599043 lr=0.099905 Epoch[057] Batch [2649]/[3760] Speed: 64.829554 samples/sec accuracy=40.806604 loss=2.599711 lr=0.099897 Epoch[057] Batch [2699]/[3760] Speed: 64.307117 samples/sec accuracy=40.790509 loss=2.600191 lr=0.099889 Epoch[057] Batch [2749]/[3760] Speed: 64.392510 samples/sec accuracy=40.764205 loss=2.601027 lr=0.099882 Epoch[057] Batch [2799]/[3760] Speed: 64.503029 samples/sec accuracy=40.768415 loss=2.600693 lr=0.099874 Epoch[057] Batch [2849]/[3760] Speed: 64.308660 samples/sec accuracy=40.762610 loss=2.600773 lr=0.099866 Epoch[057] Batch [2899]/[3760] Speed: 64.294141 samples/sec accuracy=40.760776 loss=2.601224 lr=0.099858 Epoch[057] Batch [2949]/[3760] Speed: 64.936545 samples/sec accuracy=40.754767 loss=2.600647 lr=0.099851 Epoch[057] Batch [2999]/[3760] Speed: 63.716819 samples/sec accuracy=40.743229 loss=2.601268 lr=0.099843 Epoch[057] Batch [3049]/[3760] Speed: 64.792207 samples/sec accuracy=40.723361 loss=2.602299 lr=0.099835 Epoch[057] Batch [3099]/[3760] Speed: 64.086673 samples/sec accuracy=40.718750 loss=2.602300 lr=0.099827 Epoch[057] Batch [3149]/[3760] Speed: 64.779700 samples/sec accuracy=40.738095 loss=2.601880 lr=0.099820 Epoch[057] Batch [3199]/[3760] Speed: 64.491169 samples/sec accuracy=40.724609 loss=2.602349 lr=0.099812 Epoch[057] Batch [3249]/[3760] Speed: 64.344993 samples/sec accuracy=40.718269 loss=2.602978 lr=0.099804 Epoch[057] Batch [3299]/[3760] Speed: 64.484162 samples/sec accuracy=40.698864 loss=2.603770 lr=0.099796 Epoch[057] Batch [3349]/[3760] Speed: 64.614428 samples/sec accuracy=40.687966 loss=2.603658 lr=0.099789 Epoch[057] Batch [3399]/[3760] Speed: 64.283474 samples/sec accuracy=40.701746 loss=2.603238 lr=0.099781 Epoch[057] Batch [3449]/[3760] Speed: 64.908364 samples/sec accuracy=40.692029 loss=2.603489 lr=0.099773 Epoch[057] Batch [3499]/[3760] Speed: 63.854261 samples/sec accuracy=40.687054 loss=2.604311 lr=0.099765 Epoch[057] Batch [3549]/[3760] Speed: 64.709938 samples/sec accuracy=40.687500 loss=2.604507 lr=0.099758 Epoch[057] Batch [3599]/[3760] Speed: 64.245763 samples/sec accuracy=40.663194 loss=2.605686 lr=0.099750 Epoch[057] Batch [3649]/[3760] Speed: 64.840684 samples/sec accuracy=40.663527 loss=2.605718 lr=0.099742 Epoch[057] Batch [3699]/[3760] Speed: 64.358792 samples/sec accuracy=40.665963 loss=2.606140 lr=0.099734 Epoch[057] Batch [3749]/[3760] Speed: 67.450425 samples/sec accuracy=40.652083 loss=2.606778 lr=0.099727 Batch [0049]/[0303]: acc-top1=40.250000 acc-top5=68.562500 Batch [0099]/[0303]: acc-top1=40.484375 acc-top5=68.156250 Batch [0149]/[0303]: acc-top1=40.354167 acc-top5=67.843750 Batch [0199]/[0303]: acc-top1=40.257812 acc-top5=67.898438 Batch [0249]/[0303]: acc-top1=40.131250 acc-top5=67.900000 Batch [0299]/[0303]: acc-top1=40.177083 acc-top5=67.692708 [Epoch 057] training: accuracy=40.652427 loss=2.606860 [Epoch 057] speed: 64 samples/sec time cost: 4042.323391 [Epoch 057] validation: acc-top1=40.181518 acc-top5=67.703177 loss=2.879431 Epoch[058] Batch [0049]/[3759] Speed: 42.928060 samples/sec accuracy=42.937500 loss=2.532513 lr=0.099717 Epoch[058] Batch [0099]/[3759] Speed: 63.265808 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lr=0.099190 Epoch[058] Batch [3449]/[3759] Speed: 64.255668 samples/sec accuracy=40.822917 loss=2.601676 lr=0.099182 Epoch[058] Batch [3499]/[3759] Speed: 64.221597 samples/sec accuracy=40.806250 loss=2.601987 lr=0.099174 Epoch[058] Batch [3549]/[3759] Speed: 64.508280 samples/sec accuracy=40.782130 loss=2.602144 lr=0.099166 Epoch[058] Batch [3599]/[3759] Speed: 64.296502 samples/sec accuracy=40.766059 loss=2.602686 lr=0.099158 Epoch[058] Batch [3649]/[3759] Speed: 64.693940 samples/sec accuracy=40.764555 loss=2.602800 lr=0.099150 Epoch[058] Batch [3699]/[3759] Speed: 64.141539 samples/sec accuracy=40.792652 loss=2.602528 lr=0.099142 Epoch[058] Batch [3749]/[3759] Speed: 68.339575 samples/sec accuracy=40.798333 loss=2.601810 lr=0.099134 Batch [0049]/[0303]: acc-top1=41.125000 acc-top5=67.562500 Batch [0099]/[0303]: acc-top1=41.187500 acc-top5=67.781250 Batch [0149]/[0303]: acc-top1=41.000000 acc-top5=67.927083 Batch [0199]/[0303]: acc-top1=41.078125 acc-top5=67.984375 Batch [0249]/[0303]: acc-top1=41.237500 acc-top5=68.112500 Batch [0299]/[0303]: acc-top1=41.161458 acc-top5=68.234375 [Epoch 058] training: accuracy=40.803738 loss=2.601546 [Epoch 058] speed: 64 samples/sec time cost: 4038.621851 [Epoch 058] validation: acc-top1=41.150990 acc-top5=68.229167 loss=2.743826 Epoch[059] Batch [0049]/[3760] Speed: 43.080013 samples/sec accuracy=40.781250 loss=2.606154 lr=0.099125 Epoch[059] Batch [0099]/[3760] Speed: 62.585806 samples/sec accuracy=41.906250 loss=2.565459 lr=0.099117 Epoch[059] Batch [0149]/[3760] Speed: 64.256629 samples/sec accuracy=41.895833 loss=2.549089 lr=0.099109 Epoch[059] Batch [0199]/[3760] Speed: 64.621030 samples/sec accuracy=41.179688 loss=2.571969 lr=0.099101 Epoch[059] Batch [0249]/[3760] Speed: 64.437284 samples/sec accuracy=41.081250 loss=2.575471 lr=0.099093 Epoch[059] Batch [0299]/[3760] Speed: 64.801633 samples/sec accuracy=41.119792 loss=2.572900 lr=0.099085 Epoch[059] Batch [0349]/[3760] Speed: 64.142511 samples/sec accuracy=41.008929 loss=2.568455 lr=0.099077 Epoch[059] Batch [0399]/[3760] Speed: 64.565834 samples/sec accuracy=40.960938 loss=2.572867 lr=0.099069 Epoch[059] Batch [0449]/[3760] Speed: 64.307633 samples/sec accuracy=40.885417 loss=2.574446 lr=0.099061 Epoch[059] Batch [0499]/[3760] Speed: 64.972118 samples/sec accuracy=40.959375 loss=2.568749 lr=0.099053 Epoch[059] Batch [0549]/[3760] Speed: 64.024416 samples/sec accuracy=40.741477 loss=2.576995 lr=0.099045 Epoch[059] Batch [0599]/[3760] Speed: 64.727857 samples/sec accuracy=40.776042 loss=2.580048 lr=0.099037 Epoch[059] Batch [0649]/[3760] Speed: 64.547804 samples/sec accuracy=40.798077 loss=2.579111 lr=0.099029 Epoch[059] Batch [0699]/[3760] Speed: 64.575427 samples/sec accuracy=40.783482 loss=2.583031 lr=0.099021 Epoch[059] Batch [0749]/[3760] Speed: 64.433642 samples/sec accuracy=40.735417 loss=2.586880 lr=0.099013 Epoch[059] Batch [0799]/[3760] Speed: 64.673848 samples/sec accuracy=40.759766 loss=2.588338 lr=0.099005 Epoch[059] 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accuracy=40.772837 loss=2.590249 lr=0.098925 Epoch[059] Batch [1349]/[3760] Speed: 64.325326 samples/sec accuracy=40.827546 loss=2.587769 lr=0.098917 Epoch[059] Batch [1399]/[3760] Speed: 64.823369 samples/sec accuracy=40.801339 loss=2.589425 lr=0.098909 Epoch[059] Batch [1449]/[3760] Speed: 64.215628 samples/sec accuracy=40.807112 loss=2.589236 lr=0.098901 Epoch[059] Batch [1499]/[3760] Speed: 64.850731 samples/sec accuracy=40.776042 loss=2.589125 lr=0.098892 Epoch[059] Batch [1549]/[3760] Speed: 63.835219 samples/sec accuracy=40.762097 loss=2.590485 lr=0.098884 Epoch[059] Batch [1599]/[3760] Speed: 64.529118 samples/sec accuracy=40.721680 loss=2.591941 lr=0.098876 Epoch[059] Batch [1649]/[3760] Speed: 64.736155 samples/sec accuracy=40.766098 loss=2.589853 lr=0.098868 Epoch[059] Batch [1699]/[3760] Speed: 64.657514 samples/sec accuracy=40.747243 loss=2.589798 lr=0.098860 Epoch[059] Batch [1749]/[3760] Speed: 64.702598 samples/sec accuracy=40.698214 loss=2.590911 lr=0.098852 Epoch[059] 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accuracy=40.638194 loss=2.596889 lr=0.098771 Epoch[059] Batch [2299]/[3760] Speed: 64.114646 samples/sec accuracy=40.650136 loss=2.596050 lr=0.098763 Epoch[059] Batch [2349]/[3760] Speed: 64.745323 samples/sec accuracy=40.680851 loss=2.594752 lr=0.098755 Epoch[059] Batch [2399]/[3760] Speed: 64.135635 samples/sec accuracy=40.694661 loss=2.594321 lr=0.098747 Epoch[059] Batch [2449]/[3760] Speed: 64.483369 samples/sec accuracy=40.688776 loss=2.595510 lr=0.098739 Epoch[059] Batch [2499]/[3760] Speed: 64.268221 samples/sec accuracy=40.670625 loss=2.596170 lr=0.098731 Epoch[059] Batch [2549]/[3760] Speed: 64.725580 samples/sec accuracy=40.692402 loss=2.595059 lr=0.098723 Epoch[059] Batch [2599]/[3760] Speed: 63.899703 samples/sec accuracy=40.673678 loss=2.595549 lr=0.098715 Epoch[059] Batch [2649]/[3760] Speed: 64.446957 samples/sec accuracy=40.679245 loss=2.594976 lr=0.098707 Epoch[059] Batch [2699]/[3760] Speed: 64.610455 samples/sec accuracy=40.688079 loss=2.595489 lr=0.098699 Epoch[059] 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accuracy=40.616699 loss=2.598275 lr=0.098617 Epoch[059] Batch [3249]/[3760] Speed: 64.374061 samples/sec accuracy=40.593269 loss=2.599115 lr=0.098609 Epoch[059] Batch [3299]/[3760] Speed: 64.575243 samples/sec accuracy=40.580492 loss=2.600139 lr=0.098601 Epoch[059] Batch [3349]/[3760] Speed: 64.417792 samples/sec accuracy=40.572295 loss=2.600265 lr=0.098593 Epoch[059] Batch [3399]/[3760] Speed: 64.657954 samples/sec accuracy=40.584559 loss=2.600291 lr=0.098585 Epoch[059] Batch [3449]/[3760] Speed: 64.212161 samples/sec accuracy=40.593297 loss=2.600466 lr=0.098576 Epoch[059] Batch [3499]/[3760] Speed: 64.681840 samples/sec accuracy=40.582143 loss=2.600764 lr=0.098568 Epoch[059] Batch [3549]/[3760] Speed: 64.661053 samples/sec accuracy=40.588908 loss=2.600592 lr=0.098560 Epoch[059] Batch [3599]/[3760] Speed: 64.577784 samples/sec accuracy=40.581597 loss=2.601180 lr=0.098552 Epoch[059] Batch [3649]/[3760] Speed: 64.499830 samples/sec accuracy=40.585188 loss=2.601277 lr=0.098544 Epoch[059] Batch [3699]/[3760] Speed: 64.239662 samples/sec accuracy=40.591639 loss=2.601262 lr=0.098536 Epoch[059] Batch [3749]/[3760] Speed: 67.764568 samples/sec accuracy=40.592083 loss=2.601027 lr=0.098528 Batch [0049]/[0303]: acc-top1=39.343750 acc-top5=67.437500 Batch [0099]/[0303]: acc-top1=39.687500 acc-top5=67.687500 Batch [0149]/[0303]: acc-top1=39.927083 acc-top5=67.729167 Batch [0199]/[0303]: acc-top1=40.234375 acc-top5=67.710938 Batch [0249]/[0303]: acc-top1=40.468750 acc-top5=67.875000 Batch [0299]/[0303]: acc-top1=40.635417 acc-top5=67.916667 [Epoch 059] training: accuracy=40.590924 loss=2.600940 [Epoch 059] speed: 64 samples/sec time cost: 4043.755072 [Epoch 059] validation: acc-top1=40.614686 acc-top5=67.919761 loss=2.835485 Epoch[060] Batch [0049]/[3760] Speed: 43.804357 samples/sec accuracy=42.062500 loss=2.568532 lr=0.098518 Epoch[060] Batch [0099]/[3760] Speed: 62.682141 samples/sec accuracy=41.718750 loss=2.546258 lr=0.098510 Epoch[060] Batch [0149]/[3760] Speed: 63.883672 samples/sec accuracy=41.718750 loss=2.549807 lr=0.098501 Epoch[060] Batch [0199]/[3760] Speed: 63.638940 samples/sec accuracy=41.687500 loss=2.554854 lr=0.098493 Epoch[060] Batch [0249]/[3760] Speed: 64.955241 samples/sec accuracy=41.806250 loss=2.560366 lr=0.098485 Epoch[060] Batch [0299]/[3760] Speed: 64.007507 samples/sec accuracy=41.572917 loss=2.566267 lr=0.098477 Epoch[060] Batch [0349]/[3760] Speed: 64.546577 samples/sec accuracy=41.714286 loss=2.559104 lr=0.098469 Epoch[060] Batch [0399]/[3760] Speed: 64.235502 samples/sec accuracy=41.648438 loss=2.561240 lr=0.098460 Epoch[060] Batch [0449]/[3760] Speed: 64.610949 samples/sec accuracy=41.552083 loss=2.562936 lr=0.098452 Epoch[060] Batch [0499]/[3760] Speed: 64.510610 samples/sec accuracy=41.540625 loss=2.566497 lr=0.098444 Epoch[060] Batch [0549]/[3760] Speed: 64.664162 samples/sec accuracy=41.525568 loss=2.564021 lr=0.098436 Epoch[060] Batch [0599]/[3760] Speed: 64.382730 samples/sec accuracy=41.625000 loss=2.561259 lr=0.098428 Epoch[060] Batch [0649]/[3760] Speed: 64.349000 samples/sec accuracy=41.560096 loss=2.561944 lr=0.098419 Epoch[060] Batch [0699]/[3760] Speed: 64.569960 samples/sec accuracy=41.506696 loss=2.562423 lr=0.098411 Epoch[060] Batch [0749]/[3760] Speed: 64.740554 samples/sec accuracy=41.450000 loss=2.562824 lr=0.098403 Epoch[060] Batch [0799]/[3760] Speed: 64.124036 samples/sec accuracy=41.308594 loss=2.569407 lr=0.098395 Epoch[060] Batch [0849]/[3760] Speed: 64.493185 samples/sec accuracy=41.360294 loss=2.567349 lr=0.098387 Epoch[060] Batch [0899]/[3760] Speed: 64.349102 samples/sec accuracy=41.284722 loss=2.571185 lr=0.098378 Epoch[060] Batch [0949]/[3760] Speed: 64.975090 samples/sec accuracy=41.245066 loss=2.574070 lr=0.098370 Epoch[060] Batch [0999]/[3760] Speed: 63.522734 samples/sec accuracy=41.273438 loss=2.574007 lr=0.098362 Epoch[060] Batch [1049]/[3760] Speed: 65.321167 samples/sec accuracy=41.272321 loss=2.575397 lr=0.098354 Epoch[060] Batch [1099]/[3760] Speed: 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lr=0.098271 Epoch[060] Batch [1599]/[3760] Speed: 64.532385 samples/sec accuracy=41.137695 loss=2.579520 lr=0.098263 Epoch[060] Batch [1649]/[3760] Speed: 64.262497 samples/sec accuracy=41.072917 loss=2.581948 lr=0.098255 Epoch[060] Batch [1699]/[3760] Speed: 64.598043 samples/sec accuracy=41.053309 loss=2.582784 lr=0.098247 Epoch[060] Batch [1749]/[3760] Speed: 64.227352 samples/sec accuracy=41.077679 loss=2.581973 lr=0.098238 Epoch[060] Batch [1799]/[3760] Speed: 64.508347 samples/sec accuracy=41.059896 loss=2.582212 lr=0.098230 Epoch[060] Batch [1849]/[3760] Speed: 64.496968 samples/sec accuracy=41.065034 loss=2.582508 lr=0.098222 Epoch[060] Batch [1899]/[3760] Speed: 64.568269 samples/sec accuracy=41.058388 loss=2.582794 lr=0.098214 Epoch[060] Batch [1949]/[3760] Speed: 64.079582 samples/sec accuracy=41.093750 loss=2.582403 lr=0.098205 Epoch[060] Batch [1999]/[3760] Speed: 64.596644 samples/sec accuracy=41.077344 loss=2.583112 lr=0.098197 Epoch[060] Batch [2049]/[3760] Speed: 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lr=0.098114 Epoch[060] Batch [2549]/[3760] Speed: 64.649342 samples/sec accuracy=40.982843 loss=2.589902 lr=0.098106 Epoch[060] Batch [2599]/[3760] Speed: 64.156686 samples/sec accuracy=40.985577 loss=2.590485 lr=0.098098 Epoch[060] Batch [2649]/[3760] Speed: 64.542015 samples/sec accuracy=40.982311 loss=2.590643 lr=0.098089 Epoch[060] Batch [2699]/[3760] Speed: 63.740515 samples/sec accuracy=40.987847 loss=2.590358 lr=0.098081 Epoch[060] Batch [2749]/[3760] Speed: 64.126209 samples/sec accuracy=40.994886 loss=2.590719 lr=0.098073 Epoch[060] Batch [2799]/[3760] Speed: 64.456703 samples/sec accuracy=41.024554 loss=2.589522 lr=0.098064 Epoch[060] Batch [2849]/[3760] Speed: 64.254512 samples/sec accuracy=41.032895 loss=2.588905 lr=0.098056 Epoch[060] Batch [2899]/[3760] Speed: 63.948391 samples/sec accuracy=41.002694 loss=2.590362 lr=0.098048 Epoch[060] Batch [2949]/[3760] Speed: 64.126602 samples/sec accuracy=40.985169 loss=2.590974 lr=0.098039 Epoch[060] Batch [2999]/[3760] Speed: 64.483585 samples/sec accuracy=40.973958 loss=2.591841 lr=0.098031 Epoch[060] Batch [3049]/[3760] Speed: 64.324597 samples/sec accuracy=40.974385 loss=2.591785 lr=0.098023 Epoch[060] Batch [3099]/[3760] Speed: 64.504106 samples/sec accuracy=40.960181 loss=2.592963 lr=0.098015 Epoch[060] Batch [3149]/[3760] Speed: 64.770305 samples/sec accuracy=40.988591 loss=2.592148 lr=0.098006 Epoch[060] Batch [3199]/[3760] Speed: 63.677787 samples/sec accuracy=40.993652 loss=2.592121 lr=0.097998 Epoch[060] Batch [3249]/[3760] Speed: 65.149653 samples/sec accuracy=40.982692 loss=2.593129 lr=0.097990 Epoch[060] Batch [3299]/[3760] Speed: 64.257586 samples/sec accuracy=40.983428 loss=2.593142 lr=0.097981 Epoch[060] Batch [3349]/[3760] Speed: 64.231708 samples/sec accuracy=41.004198 loss=2.591969 lr=0.097973 Epoch[060] Batch [3399]/[3760] Speed: 64.542540 samples/sec accuracy=41.004136 loss=2.592586 lr=0.097965 Epoch[060] Batch [3449]/[3760] Speed: 64.315925 samples/sec accuracy=40.996830 loss=2.593458 lr=0.097956 Epoch[060] Batch [3499]/[3760] Speed: 64.505508 samples/sec accuracy=40.980804 loss=2.593850 lr=0.097948 Epoch[060] Batch [3549]/[3760] Speed: 64.072822 samples/sec accuracy=40.964349 loss=2.594013 lr=0.097939 Epoch[060] Batch [3599]/[3760] Speed: 64.717658 samples/sec accuracy=40.973958 loss=2.593797 lr=0.097931 Epoch[060] Batch [3649]/[3760] Speed: 64.412349 samples/sec accuracy=40.966182 loss=2.594552 lr=0.097923 Epoch[060] Batch [3699]/[3760] Speed: 64.472926 samples/sec accuracy=40.959037 loss=2.595066 lr=0.097914 Epoch[060] Batch [3749]/[3760] Speed: 67.255542 samples/sec accuracy=40.962083 loss=2.594969 lr=0.097906 Batch [0049]/[0303]: acc-top1=39.906250 acc-top5=66.875000 Batch [0099]/[0303]: acc-top1=40.453125 acc-top5=67.203125 Batch [0149]/[0303]: acc-top1=40.614583 acc-top5=67.364583 Batch [0199]/[0303]: acc-top1=40.664062 acc-top5=67.484375 Batch [0249]/[0303]: acc-top1=40.618750 acc-top5=67.875000 Batch [0299]/[0303]: acc-top1=40.557292 acc-top5=67.890625 [Epoch 060] training: accuracy=40.957862 loss=2.594956 [Epoch 060] speed: 63 samples/sec time cost: 4045.114367 [Epoch 060] validation: acc-top1=40.578589 acc-top5=67.888820 loss=2.901188 Epoch[061] Batch [0049]/[3759] Speed: 42.249385 samples/sec accuracy=41.562500 loss=2.566222 lr=0.097896 Epoch[061] Batch [0099]/[3759] Speed: 61.892639 samples/sec accuracy=40.953125 loss=2.595921 lr=0.097888 Epoch[061] Batch [0149]/[3759] Speed: 64.361646 samples/sec accuracy=41.354167 loss=2.573225 lr=0.097879 Epoch[061] Batch [0199]/[3759] Speed: 63.555565 samples/sec accuracy=41.843750 loss=2.552727 lr=0.097871 Epoch[061] Batch [0249]/[3759] Speed: 65.050273 samples/sec accuracy=41.887500 loss=2.550073 lr=0.097863 Epoch[061] Batch [0299]/[3759] Speed: 63.929148 samples/sec accuracy=41.708333 loss=2.557891 lr=0.097854 Epoch[061] Batch [0349]/[3759] Speed: 64.587429 samples/sec accuracy=41.691964 loss=2.549858 lr=0.097846 Epoch[061] Batch [0399]/[3759] Speed: 64.164120 samples/sec accuracy=41.648438 loss=2.552331 lr=0.097837 Epoch[061] Batch [0449]/[3759] Speed: 64.517035 samples/sec accuracy=41.541667 loss=2.555367 lr=0.097829 Epoch[061] Batch [0499]/[3759] Speed: 64.412453 samples/sec accuracy=41.556250 loss=2.556208 lr=0.097821 Epoch[061] Batch [0549]/[3759] Speed: 64.350756 samples/sec accuracy=41.704545 loss=2.548660 lr=0.097812 Epoch[061] Batch [0599]/[3759] Speed: 64.029840 samples/sec accuracy=41.557292 loss=2.556821 lr=0.097804 Epoch[061] Batch [0649]/[3759] Speed: 64.606206 samples/sec accuracy=41.560096 loss=2.558386 lr=0.097795 Epoch[061] Batch [0699]/[3759] Speed: 63.215352 samples/sec accuracy=41.566964 loss=2.557364 lr=0.097787 Epoch[061] Batch [0749]/[3759] Speed: 64.731630 samples/sec accuracy=41.541667 loss=2.558018 lr=0.097779 Epoch[061] Batch [0799]/[3759] Speed: 64.277244 samples/sec accuracy=41.580078 loss=2.557735 lr=0.097770 Epoch[061] Batch [0849]/[3759] Speed: 64.316811 samples/sec accuracy=41.507353 loss=2.562264 lr=0.097762 Epoch[061] 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accuracy=41.260417 loss=2.573030 lr=0.097678 Epoch[061] Batch [1399]/[3759] Speed: 64.603764 samples/sec accuracy=41.248884 loss=2.574358 lr=0.097669 Epoch[061] Batch [1449]/[3759] Speed: 63.913680 samples/sec accuracy=41.158405 loss=2.577145 lr=0.097661 Epoch[061] Batch [1499]/[3759] Speed: 64.405996 samples/sec accuracy=41.137500 loss=2.579620 lr=0.097652 Epoch[061] Batch [1549]/[3759] Speed: 64.008644 samples/sec accuracy=41.156250 loss=2.580506 lr=0.097644 Epoch[061] Batch [1599]/[3759] Speed: 64.870641 samples/sec accuracy=41.110352 loss=2.582433 lr=0.097636 Epoch[061] Batch [1649]/[3759] Speed: 64.302234 samples/sec accuracy=41.105114 loss=2.581811 lr=0.097627 Epoch[061] Batch [1699]/[3759] Speed: 64.808849 samples/sec accuracy=41.111213 loss=2.581810 lr=0.097619 Epoch[061] Batch [1749]/[3759] Speed: 64.973889 samples/sec accuracy=41.108036 loss=2.581081 lr=0.097610 Epoch[061] Batch [1799]/[3759] Speed: 64.225863 samples/sec accuracy=41.080729 loss=2.580825 lr=0.097602 Epoch[061] 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accuracy=40.964674 loss=2.585235 lr=0.097517 Epoch[061] Batch [2349]/[3759] Speed: 64.440592 samples/sec accuracy=40.992021 loss=2.584749 lr=0.097509 Epoch[061] Batch [2399]/[3759] Speed: 64.184512 samples/sec accuracy=40.998698 loss=2.584857 lr=0.097500 Epoch[061] Batch [2449]/[3759] Speed: 64.631635 samples/sec accuracy=40.994260 loss=2.584850 lr=0.097492 Epoch[061] Batch [2499]/[3759] Speed: 64.049016 samples/sec accuracy=40.966250 loss=2.586181 lr=0.097483 Epoch[061] Batch [2549]/[3759] Speed: 65.032056 samples/sec accuracy=40.932598 loss=2.587128 lr=0.097475 Epoch[061] Batch [2599]/[3759] Speed: 64.371701 samples/sec accuracy=40.955529 loss=2.585806 lr=0.097466 Epoch[061] Batch [2649]/[3759] Speed: 64.672858 samples/sec accuracy=40.959906 loss=2.585729 lr=0.097458 Epoch[061] Batch [2699]/[3759] Speed: 64.402268 samples/sec accuracy=40.951389 loss=2.586046 lr=0.097449 Epoch[061] Batch [2749]/[3759] Speed: 64.761945 samples/sec accuracy=40.957386 loss=2.585881 lr=0.097441 Epoch[061] 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Batch [3749]/[3759] Speed: 68.215241 samples/sec accuracy=40.940833 loss=2.588907 lr=0.097270 Batch [0049]/[0303]: acc-top1=40.437500 acc-top5=67.125000 Batch [0099]/[0303]: acc-top1=40.296875 acc-top5=66.656250 Batch [0149]/[0303]: acc-top1=40.270833 acc-top5=66.593750 Batch [0199]/[0303]: acc-top1=40.398438 acc-top5=66.625000 Batch [0249]/[0303]: acc-top1=40.612500 acc-top5=66.956250 Batch [0299]/[0303]: acc-top1=40.625000 acc-top5=66.916667 [Epoch 061] training: accuracy=40.929270 loss=2.589395 [Epoch 061] speed: 63 samples/sec time cost: 4049.184743 [Epoch 061] validation: acc-top1=40.645627 acc-top5=66.934818 loss=2.950727 Epoch[062] Batch [0049]/[3760] Speed: 42.156374 samples/sec accuracy=41.343750 loss=2.623018 lr=0.097260 Epoch[062] Batch [0099]/[3760] Speed: 62.735145 samples/sec accuracy=41.500000 loss=2.573648 lr=0.097252 Epoch[062] Batch [0149]/[3760] Speed: 63.798740 samples/sec accuracy=41.489583 loss=2.568019 lr=0.097243 Epoch[062] Batch [0199]/[3760] Speed: 64.271561 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lr=0.096829 Epoch[062] Batch [2599]/[3760] Speed: 64.046278 samples/sec accuracy=41.163462 loss=2.583280 lr=0.096821 Epoch[062] Batch [2649]/[3760] Speed: 65.117435 samples/sec accuracy=41.134434 loss=2.583229 lr=0.096812 Epoch[062] Batch [2699]/[3760] Speed: 64.036128 samples/sec accuracy=41.130208 loss=2.583428 lr=0.096803 Epoch[062] Batch [2749]/[3760] Speed: 65.143497 samples/sec accuracy=41.139773 loss=2.583186 lr=0.096795 Epoch[062] Batch [2799]/[3760] Speed: 64.156305 samples/sec accuracy=41.142857 loss=2.583209 lr=0.096786 Epoch[062] Batch [2849]/[3760] Speed: 64.491391 samples/sec accuracy=41.152412 loss=2.582762 lr=0.096777 Epoch[062] Batch [2899]/[3760] Speed: 64.418860 samples/sec accuracy=41.167026 loss=2.582303 lr=0.096769 Epoch[062] Batch [2949]/[3760] Speed: 64.661012 samples/sec accuracy=41.180085 loss=2.582186 lr=0.096760 Epoch[062] Batch [2999]/[3760] Speed: 64.369194 samples/sec accuracy=41.173958 loss=2.582714 lr=0.096751 Epoch[062] Batch [3049]/[3760] Speed: 64.544581 samples/sec accuracy=41.152664 loss=2.583187 lr=0.096743 Epoch[062] Batch [3099]/[3760] Speed: 64.379703 samples/sec accuracy=41.162298 loss=2.582945 lr=0.096734 Epoch[062] Batch [3149]/[3760] Speed: 64.571720 samples/sec accuracy=41.175595 loss=2.582801 lr=0.096725 Epoch[062] Batch [3199]/[3760] Speed: 64.559205 samples/sec accuracy=41.144531 loss=2.583278 lr=0.096716 Epoch[062] Batch [3249]/[3760] Speed: 63.793079 samples/sec accuracy=41.147115 loss=2.582622 lr=0.096708 Epoch[062] Batch [3299]/[3760] Speed: 65.036732 samples/sec accuracy=41.147254 loss=2.581897 lr=0.096699 Epoch[062] Batch [3349]/[3760] Speed: 63.504057 samples/sec accuracy=41.145989 loss=2.582133 lr=0.096690 Epoch[062] Batch [3399]/[3760] Speed: 65.453172 samples/sec accuracy=41.119945 loss=2.583292 lr=0.096682 Epoch[062] Batch [3449]/[3760] Speed: 64.353645 samples/sec accuracy=41.104167 loss=2.583542 lr=0.096673 Epoch[062] Batch [3499]/[3760] Speed: 64.144917 samples/sec accuracy=41.102232 loss=2.583798 lr=0.096664 Epoch[062] Batch [3549]/[3760] Speed: 64.397079 samples/sec accuracy=41.093750 loss=2.584628 lr=0.096655 Epoch[062] Batch [3599]/[3760] Speed: 63.963636 samples/sec accuracy=41.100260 loss=2.583712 lr=0.096647 Epoch[062] Batch [3649]/[3760] Speed: 64.890593 samples/sec accuracy=41.111729 loss=2.583626 lr=0.096638 Epoch[062] Batch [3699]/[3760] Speed: 64.215287 samples/sec accuracy=41.127111 loss=2.583270 lr=0.096629 Epoch[062] Batch [3749]/[3760] Speed: 68.160168 samples/sec accuracy=41.108333 loss=2.583668 lr=0.096621 Batch [0049]/[0303]: acc-top1=40.906250 acc-top5=67.625000 Batch [0099]/[0303]: acc-top1=40.687500 acc-top5=67.671875 Batch [0149]/[0303]: acc-top1=40.593750 acc-top5=67.625000 Batch [0199]/[0303]: acc-top1=40.390625 acc-top5=67.546875 Batch [0249]/[0303]: acc-top1=40.556250 acc-top5=67.950000 Batch [0299]/[0303]: acc-top1=40.447917 acc-top5=67.927083 [Epoch 062] training: accuracy=41.110372 loss=2.583644 [Epoch 062] speed: 63 samples/sec time cost: 4050.135490 [Epoch 062] validation: acc-top1=40.475454 acc-top5=67.935231 loss=2.826166 Epoch[063] Batch [0049]/[3760] Speed: 41.925967 samples/sec accuracy=41.093750 loss=2.565721 lr=0.096610 Epoch[063] Batch [0099]/[3760] Speed: 63.060201 samples/sec accuracy=42.015625 loss=2.530738 lr=0.096601 Epoch[063] Batch [0149]/[3760] Speed: 63.873826 samples/sec accuracy=41.333333 loss=2.556714 lr=0.096593 Epoch[063] Batch [0199]/[3760] Speed: 63.966980 samples/sec accuracy=41.468750 loss=2.544409 lr=0.096584 Epoch[063] Batch [0249]/[3760] Speed: 64.227697 samples/sec accuracy=41.437500 loss=2.552390 lr=0.096575 Epoch[063] Batch [0299]/[3760] Speed: 64.400477 samples/sec accuracy=41.609375 loss=2.545531 lr=0.096566 Epoch[063] Batch [0349]/[3760] Speed: 64.677758 samples/sec accuracy=41.491071 loss=2.558775 lr=0.096558 Epoch[063] Batch [0399]/[3760] Speed: 64.875814 samples/sec accuracy=41.425781 loss=2.561191 lr=0.096549 Epoch[063] Batch [0449]/[3760] Speed: 63.508140 samples/sec accuracy=41.451389 loss=2.558389 lr=0.096540 Epoch[063] Batch [0499]/[3760] Speed: 64.832194 samples/sec accuracy=41.515625 loss=2.556593 lr=0.096531 Epoch[063] Batch [0549]/[3760] Speed: 64.162185 samples/sec accuracy=41.514205 loss=2.556835 lr=0.096523 Epoch[063] Batch [0599]/[3760] Speed: 64.874086 samples/sec accuracy=41.473958 loss=2.559610 lr=0.096514 Epoch[063] Batch [0649]/[3760] Speed: 64.681738 samples/sec accuracy=41.451923 loss=2.561955 lr=0.096505 Epoch[063] Batch [0699]/[3760] Speed: 64.484779 samples/sec accuracy=41.475446 loss=2.561599 lr=0.096496 Epoch[063] Batch [0749]/[3760] Speed: 64.626492 samples/sec accuracy=41.516667 loss=2.559189 lr=0.096487 Epoch[063] Batch [0799]/[3760] Speed: 63.963097 samples/sec accuracy=41.601562 loss=2.558448 lr=0.096479 Epoch[063] Batch [0849]/[3760] Speed: 64.422204 samples/sec accuracy=41.553309 loss=2.559211 lr=0.096470 Epoch[063] Batch [0899]/[3760] Speed: 64.091194 samples/sec accuracy=41.560764 loss=2.560363 lr=0.096461 Epoch[063] 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accuracy=41.468750 loss=2.565501 lr=0.096373 Epoch[063] Batch [1449]/[3760] Speed: 63.973976 samples/sec accuracy=41.485991 loss=2.564819 lr=0.096364 Epoch[063] Batch [1499]/[3760] Speed: 64.801692 samples/sec accuracy=41.467708 loss=2.566356 lr=0.096356 Epoch[063] Batch [1549]/[3760] Speed: 63.985157 samples/sec accuracy=41.463710 loss=2.567518 lr=0.096347 Epoch[063] Batch [1599]/[3760] Speed: 64.587615 samples/sec accuracy=41.446289 loss=2.569412 lr=0.096338 Epoch[063] Batch [1649]/[3760] Speed: 64.140968 samples/sec accuracy=41.389205 loss=2.571644 lr=0.096329 Epoch[063] Batch [1699]/[3760] Speed: 64.456620 samples/sec accuracy=41.401654 loss=2.570925 lr=0.096320 Epoch[063] Batch [1749]/[3760] Speed: 63.998495 samples/sec accuracy=41.395536 loss=2.571194 lr=0.096312 Epoch[063] Batch [1799]/[3760] Speed: 64.871209 samples/sec accuracy=41.398438 loss=2.571656 lr=0.096303 Epoch[063] Batch [1849]/[3760] Speed: 64.488392 samples/sec accuracy=41.396959 loss=2.572542 lr=0.096294 Epoch[063] 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accuracy=41.305186 loss=2.576626 lr=0.096205 Epoch[063] Batch [2399]/[3760] Speed: 64.536293 samples/sec accuracy=41.264974 loss=2.577818 lr=0.096197 Epoch[063] Batch [2449]/[3760] Speed: 64.073615 samples/sec accuracy=41.251913 loss=2.577977 lr=0.096188 Epoch[063] Batch [2499]/[3760] Speed: 64.519629 samples/sec accuracy=41.256250 loss=2.578357 lr=0.096179 Epoch[063] Batch [2549]/[3760] Speed: 64.059662 samples/sec accuracy=41.254902 loss=2.578189 lr=0.096170 Epoch[063] Batch [2599]/[3760] Speed: 64.697215 samples/sec accuracy=41.246995 loss=2.578406 lr=0.096161 Epoch[063] Batch [2649]/[3760] Speed: 63.977742 samples/sec accuracy=41.231132 loss=2.578255 lr=0.096152 Epoch[063] Batch [2699]/[3760] Speed: 64.360958 samples/sec accuracy=41.218171 loss=2.578350 lr=0.096143 Epoch[063] Batch [2749]/[3760] Speed: 64.282724 samples/sec accuracy=41.203409 loss=2.578782 lr=0.096135 Epoch[063] Batch [2799]/[3760] Speed: 64.824234 samples/sec accuracy=41.219308 loss=2.578228 lr=0.096126 Epoch[063] 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accuracy=41.179451 loss=2.578804 lr=0.096037 Epoch[063] Batch [3349]/[3760] Speed: 64.733144 samples/sec accuracy=41.173041 loss=2.579154 lr=0.096028 Epoch[063] Batch [3399]/[3760] Speed: 64.177055 samples/sec accuracy=41.169118 loss=2.579507 lr=0.096019 Epoch[063] Batch [3449]/[3760] Speed: 64.867175 samples/sec accuracy=41.182065 loss=2.578755 lr=0.096010 Epoch[063] Batch [3499]/[3760] Speed: 63.793136 samples/sec accuracy=41.181250 loss=2.578686 lr=0.096001 Epoch[063] Batch [3549]/[3760] Speed: 65.091565 samples/sec accuracy=41.186180 loss=2.578745 lr=0.095992 Epoch[063] Batch [3599]/[3760] Speed: 64.643152 samples/sec accuracy=41.191840 loss=2.577978 lr=0.095983 Epoch[063] Batch [3649]/[3760] Speed: 64.260878 samples/sec accuracy=41.189212 loss=2.579052 lr=0.095975 Epoch[063] Batch [3699]/[3760] Speed: 64.396251 samples/sec accuracy=41.176098 loss=2.579283 lr=0.095966 Epoch[063] Batch [3749]/[3760] Speed: 67.599531 samples/sec accuracy=41.178750 loss=2.579384 lr=0.095957 Batch [0049]/[0303]: acc-top1=40.031250 acc-top5=67.562500 Batch [0099]/[0303]: acc-top1=40.515625 acc-top5=67.953125 Batch [0149]/[0303]: acc-top1=40.250000 acc-top5=67.770833 Batch [0199]/[0303]: acc-top1=40.398438 acc-top5=67.695312 Batch [0249]/[0303]: acc-top1=40.493750 acc-top5=67.893750 Batch [0299]/[0303]: acc-top1=40.432292 acc-top5=67.692708 [Epoch 063] training: accuracy=41.172291 loss=2.579750 [Epoch 063] speed: 63 samples/sec time cost: 4052.149852 [Epoch 063] validation: acc-top1=40.475454 acc-top5=67.677393 loss=2.882610 Epoch[064] Batch [0049]/[3759] Speed: 42.264825 samples/sec accuracy=41.500000 loss=2.535992 lr=0.095946 Epoch[064] Batch [0099]/[3759] Speed: 62.672960 samples/sec accuracy=41.906250 loss=2.526490 lr=0.095937 Epoch[064] Batch [0149]/[3759] Speed: 64.792564 samples/sec accuracy=41.906250 loss=2.530793 lr=0.095928 Epoch[064] Batch [0199]/[3759] Speed: 64.119323 samples/sec accuracy=41.609375 loss=2.536859 lr=0.095919 Epoch[064] Batch [0249]/[3759] Speed: 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lr=0.095488 Epoch[064] Batch [2649]/[3759] Speed: 64.356649 samples/sec accuracy=41.282429 loss=2.570041 lr=0.095479 Epoch[064] Batch [2699]/[3759] Speed: 64.430280 samples/sec accuracy=41.277199 loss=2.570472 lr=0.095470 Epoch[064] Batch [2749]/[3759] Speed: 64.299760 samples/sec accuracy=41.288068 loss=2.570974 lr=0.095461 Epoch[064] Batch [2799]/[3759] Speed: 64.737726 samples/sec accuracy=41.296317 loss=2.570889 lr=0.095452 Epoch[064] Batch [2849]/[3759] Speed: 64.228219 samples/sec accuracy=41.259868 loss=2.572741 lr=0.095443 Epoch[064] Batch [2899]/[3759] Speed: 64.707572 samples/sec accuracy=41.241379 loss=2.573647 lr=0.095434 Epoch[064] Batch [2949]/[3759] Speed: 63.578050 samples/sec accuracy=41.217691 loss=2.574027 lr=0.095425 Epoch[064] Batch [2999]/[3759] Speed: 64.724905 samples/sec accuracy=41.211979 loss=2.574493 lr=0.095415 Epoch[064] Batch [3049]/[3759] Speed: 63.636845 samples/sec accuracy=41.217213 loss=2.574638 lr=0.095406 Epoch[064] Batch [3099]/[3759] Speed: 64.938546 samples/sec accuracy=41.199093 loss=2.575634 lr=0.095397 Epoch[064] Batch [3149]/[3759] Speed: 64.292407 samples/sec accuracy=41.199405 loss=2.575750 lr=0.095388 Epoch[064] Batch [3199]/[3759] Speed: 63.880577 samples/sec accuracy=41.192383 loss=2.576165 lr=0.095379 Epoch[064] Batch [3249]/[3759] Speed: 64.386470 samples/sec accuracy=41.194712 loss=2.576024 lr=0.095370 Epoch[064] Batch [3299]/[3759] Speed: 64.193339 samples/sec accuracy=41.203598 loss=2.575716 lr=0.095361 Epoch[064] Batch [3349]/[3759] Speed: 64.380514 samples/sec accuracy=41.218284 loss=2.575236 lr=0.095352 Epoch[064] Batch [3399]/[3759] Speed: 64.274461 samples/sec accuracy=41.214154 loss=2.576131 lr=0.095343 Epoch[064] Batch [3449]/[3759] Speed: 64.607955 samples/sec accuracy=41.206975 loss=2.576006 lr=0.095334 Epoch[064] Batch [3499]/[3759] Speed: 63.710137 samples/sec accuracy=41.191964 loss=2.576276 lr=0.095325 Epoch[064] Batch [3549]/[3759] Speed: 65.408263 samples/sec accuracy=41.191901 loss=2.576323 lr=0.095316 Epoch[064] Batch [3599]/[3759] Speed: 63.998264 samples/sec accuracy=41.191840 loss=2.576298 lr=0.095307 Epoch[064] Batch [3649]/[3759] Speed: 64.145080 samples/sec accuracy=41.203339 loss=2.575586 lr=0.095297 Epoch[064] Batch [3699]/[3759] Speed: 64.614703 samples/sec accuracy=41.204392 loss=2.575520 lr=0.095288 Epoch[064] Batch [3749]/[3759] Speed: 67.859432 samples/sec accuracy=41.207083 loss=2.575336 lr=0.095279 Batch [0049]/[0303]: acc-top1=40.468750 acc-top5=68.312500 Batch [0099]/[0303]: acc-top1=40.593750 acc-top5=68.312500 Batch [0149]/[0303]: acc-top1=40.791667 acc-top5=68.260417 Batch [0199]/[0303]: acc-top1=40.851562 acc-top5=68.500000 Batch [0249]/[0303]: acc-top1=41.150000 acc-top5=68.768750 Batch [0299]/[0303]: acc-top1=41.166667 acc-top5=68.760417 [Epoch 064] training: accuracy=41.206105 loss=2.575240 [Epoch 064] speed: 63 samples/sec time cost: 4046.736860 [Epoch 064] validation: acc-top1=41.212871 acc-top5=68.786097 loss=2.727696 Epoch[065] Batch 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accuracy=41.921875 loss=2.539677 lr=0.095187 Epoch[065] Batch [0549]/[3760] Speed: 63.999568 samples/sec accuracy=41.835227 loss=2.546430 lr=0.095177 Epoch[065] Batch [0599]/[3760] Speed: 64.268782 samples/sec accuracy=41.809896 loss=2.546821 lr=0.095168 Epoch[065] Batch [0649]/[3760] Speed: 64.248631 samples/sec accuracy=41.689904 loss=2.548709 lr=0.095159 Epoch[065] Batch [0699]/[3760] Speed: 64.457959 samples/sec accuracy=41.714286 loss=2.544468 lr=0.095150 Epoch[065] Batch [0749]/[3760] Speed: 64.315031 samples/sec accuracy=41.739583 loss=2.544430 lr=0.095141 Epoch[065] Batch [0799]/[3760] Speed: 64.462179 samples/sec accuracy=41.785156 loss=2.544262 lr=0.095132 Epoch[065] Batch [0849]/[3760] Speed: 63.559897 samples/sec accuracy=41.735294 loss=2.545949 lr=0.095123 Epoch[065] Batch [0899]/[3760] Speed: 64.648364 samples/sec accuracy=41.697917 loss=2.545450 lr=0.095113 Epoch[065] Batch [0949]/[3760] Speed: 64.393178 samples/sec accuracy=41.763158 loss=2.545319 lr=0.095104 Epoch[065] 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accuracy=41.405784 loss=2.563938 lr=0.094663 Epoch[065] Batch [3399]/[3760] Speed: 64.556757 samples/sec accuracy=41.416360 loss=2.563457 lr=0.094653 Epoch[065] Batch [3449]/[3760] Speed: 63.889698 samples/sec accuracy=41.413496 loss=2.563427 lr=0.094644 Epoch[065] Batch [3499]/[3760] Speed: 63.990838 samples/sec accuracy=41.432143 loss=2.563438 lr=0.094635 Epoch[065] Batch [3549]/[3760] Speed: 64.413449 samples/sec accuracy=41.409331 loss=2.564803 lr=0.094626 Epoch[065] Batch [3599]/[3760] Speed: 64.451556 samples/sec accuracy=41.403212 loss=2.565143 lr=0.094616 Epoch[065] Batch [3649]/[3760] Speed: 64.138870 samples/sec accuracy=41.386130 loss=2.565885 lr=0.094607 Epoch[065] Batch [3699]/[3760] Speed: 64.238730 samples/sec accuracy=41.376267 loss=2.567388 lr=0.094598 Epoch[065] Batch [3749]/[3760] Speed: 68.196724 samples/sec accuracy=41.372083 loss=2.567773 lr=0.094589 Batch [0049]/[0303]: acc-top1=39.875000 acc-top5=67.187500 Batch [0099]/[0303]: acc-top1=40.390625 acc-top5=67.234375 Batch [0149]/[0303]: acc-top1=39.895833 acc-top5=66.864583 Batch [0199]/[0303]: acc-top1=40.062500 acc-top5=67.187500 Batch [0249]/[0303]: acc-top1=40.275000 acc-top5=67.287500 Batch [0299]/[0303]: acc-top1=40.218750 acc-top5=67.442708 [Epoch 065] training: accuracy=41.373005 loss=2.567804 [Epoch 065] speed: 63 samples/sec time cost: 4056.844780 [Epoch 065] validation: acc-top1=40.233086 acc-top5=67.450495 loss=2.921361 Epoch[066] Batch [0049]/[3759] Speed: 42.197081 samples/sec accuracy=40.843750 loss=2.552811 lr=0.094577 Epoch[066] Batch [0099]/[3759] Speed: 63.040511 samples/sec accuracy=41.734375 loss=2.543888 lr=0.094568 Epoch[066] Batch [0149]/[3759] Speed: 64.133744 samples/sec accuracy=41.625000 loss=2.551177 lr=0.094559 Epoch[066] Batch [0199]/[3759] Speed: 64.287645 samples/sec accuracy=41.718750 loss=2.552306 lr=0.094550 Epoch[066] Batch [0249]/[3759] Speed: 64.036636 samples/sec accuracy=41.987500 loss=2.541688 lr=0.094540 Epoch[066] Batch [0299]/[3759] 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loss=2.543487 lr=0.094447 Epoch[066] Batch [0799]/[3759] Speed: 64.372257 samples/sec accuracy=41.746094 loss=2.543931 lr=0.094438 Epoch[066] Batch [0849]/[3759] Speed: 64.268862 samples/sec accuracy=41.737132 loss=2.546566 lr=0.094429 Epoch[066] Batch [0899]/[3759] Speed: 63.827584 samples/sec accuracy=41.815972 loss=2.544213 lr=0.094419 Epoch[066] Batch [0949]/[3759] Speed: 64.617166 samples/sec accuracy=41.820724 loss=2.544616 lr=0.094410 Epoch[066] Batch [0999]/[3759] Speed: 64.325296 samples/sec accuracy=41.767188 loss=2.547717 lr=0.094401 Epoch[066] Batch [1049]/[3759] Speed: 64.174824 samples/sec accuracy=41.784226 loss=2.548351 lr=0.094391 Epoch[066] Batch [1099]/[3759] Speed: 63.934968 samples/sec accuracy=41.759943 loss=2.549659 lr=0.094382 Epoch[066] Batch [1149]/[3759] Speed: 64.136649 samples/sec accuracy=41.688859 loss=2.550537 lr=0.094373 Epoch[066] Batch [1199]/[3759] Speed: 64.249351 samples/sec accuracy=41.667969 loss=2.552723 lr=0.094363 Epoch[066] Batch 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accuracy=41.521140 loss=2.555656 lr=0.094270 Epoch[066] Batch [1749]/[3759] Speed: 64.502253 samples/sec accuracy=41.506250 loss=2.556811 lr=0.094261 Epoch[066] Batch [1799]/[3759] Speed: 63.545877 samples/sec accuracy=41.509549 loss=2.557074 lr=0.094251 Epoch[066] Batch [1849]/[3759] Speed: 65.141234 samples/sec accuracy=41.500845 loss=2.557555 lr=0.094242 Epoch[066] Batch [1899]/[3759] Speed: 64.038277 samples/sec accuracy=41.507401 loss=2.557058 lr=0.094232 Epoch[066] Batch [1949]/[3759] Speed: 64.217349 samples/sec accuracy=41.485577 loss=2.557672 lr=0.094223 Epoch[066] Batch [1999]/[3759] Speed: 64.812826 samples/sec accuracy=41.491406 loss=2.557486 lr=0.094214 Epoch[066] Batch [2049]/[3759] Speed: 64.019442 samples/sec accuracy=41.519817 loss=2.556573 lr=0.094204 Epoch[066] Batch [2099]/[3759] Speed: 63.865513 samples/sec accuracy=41.502976 loss=2.558390 lr=0.094195 Epoch[066] Batch [2149]/[3759] Speed: 64.147269 samples/sec accuracy=41.529797 loss=2.557517 lr=0.094186 Epoch[066] 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accuracy=41.440448 loss=2.562302 lr=0.094092 Epoch[066] Batch [2699]/[3759] Speed: 64.486875 samples/sec accuracy=41.446181 loss=2.562639 lr=0.094082 Epoch[066] Batch [2749]/[3759] Speed: 64.138629 samples/sec accuracy=41.454545 loss=2.562395 lr=0.094073 Epoch[066] Batch [2799]/[3759] Speed: 64.349849 samples/sec accuracy=41.430246 loss=2.562765 lr=0.094064 Epoch[066] Batch [2849]/[3759] Speed: 64.095423 samples/sec accuracy=41.421601 loss=2.562682 lr=0.094054 Epoch[066] Batch [2899]/[3759] Speed: 64.130323 samples/sec accuracy=41.421875 loss=2.563381 lr=0.094045 Epoch[066] Batch [2949]/[3759] Speed: 63.860492 samples/sec accuracy=41.430614 loss=2.563827 lr=0.094035 Epoch[066] Batch [2999]/[3759] Speed: 64.865362 samples/sec accuracy=41.435937 loss=2.564244 lr=0.094026 Epoch[066] Batch [3049]/[3759] Speed: 64.345685 samples/sec accuracy=41.422131 loss=2.564919 lr=0.094016 Epoch[066] Batch [3099]/[3759] Speed: 63.942341 samples/sec accuracy=41.397177 loss=2.565729 lr=0.094007 Epoch[066] Batch [3149]/[3759] Speed: 64.236178 samples/sec accuracy=41.375992 loss=2.565909 lr=0.093998 Epoch[066] Batch [3199]/[3759] Speed: 64.458706 samples/sec accuracy=41.384766 loss=2.565357 lr=0.093988 Epoch[066] Batch [3249]/[3759] Speed: 64.783075 samples/sec accuracy=41.374038 loss=2.565324 lr=0.093979 Epoch[066] Batch [3299]/[3759] Speed: 63.996842 samples/sec accuracy=41.372633 loss=2.565946 lr=0.093969 Epoch[066] Batch [3349]/[3759] Speed: 64.688297 samples/sec accuracy=41.387127 loss=2.566117 lr=0.093960 Epoch[066] Batch [3399]/[3759] Speed: 63.670896 samples/sec accuracy=41.394761 loss=2.565556 lr=0.093950 Epoch[066] Batch [3449]/[3759] Speed: 64.874550 samples/sec accuracy=41.384058 loss=2.566237 lr=0.093941 Epoch[066] Batch [3499]/[3759] Speed: 64.469515 samples/sec accuracy=41.393750 loss=2.565958 lr=0.093932 Epoch[066] Batch [3549]/[3759] Speed: 63.804424 samples/sec accuracy=41.405370 loss=2.565979 lr=0.093922 Epoch[066] Batch [3599]/[3759] Speed: 64.380932 samples/sec accuracy=41.427951 loss=2.565326 lr=0.093913 Epoch[066] Batch [3649]/[3759] Speed: 63.836784 samples/sec accuracy=41.428082 loss=2.565278 lr=0.093903 Epoch[066] Batch [3699]/[3759] Speed: 64.812290 samples/sec accuracy=41.430743 loss=2.565327 lr=0.093894 Epoch[066] Batch [3749]/[3759] Speed: 67.787092 samples/sec accuracy=41.432083 loss=2.565048 lr=0.093884 Batch [0049]/[0303]: acc-top1=38.843750 acc-top5=65.750000 Batch [0099]/[0303]: acc-top1=38.921875 acc-top5=65.640625 Batch [0149]/[0303]: acc-top1=39.020833 acc-top5=65.916667 Batch [0199]/[0303]: acc-top1=39.085938 acc-top5=66.203125 Batch [0249]/[0303]: acc-top1=39.337500 acc-top5=66.381250 Batch [0299]/[0303]: acc-top1=39.234375 acc-top5=66.473958 [Epoch 066] training: accuracy=41.429320 loss=2.565127 [Epoch 066] speed: 63 samples/sec time cost: 4055.749325 [Epoch 066] validation: acc-top1=39.227517 acc-top5=66.434612 loss=3.162482 Epoch[067] Batch [0049]/[3760] Speed: 42.940088 samples/sec accuracy=42.593750 loss=2.513771 lr=0.093873 Epoch[067] Batch [0099]/[3760] Speed: 62.048772 samples/sec accuracy=42.140625 loss=2.501009 lr=0.093864 Epoch[067] Batch [0149]/[3760] Speed: 64.696609 samples/sec accuracy=41.958333 loss=2.513693 lr=0.093854 Epoch[067] Batch [0199]/[3760] Speed: 63.928188 samples/sec accuracy=42.140625 loss=2.517858 lr=0.093845 Epoch[067] Batch [0249]/[3760] Speed: 64.345125 samples/sec accuracy=41.956250 loss=2.525435 lr=0.093835 Epoch[067] Batch [0299]/[3760] Speed: 64.324341 samples/sec accuracy=42.000000 loss=2.525463 lr=0.093826 Epoch[067] Batch [0349]/[3760] Speed: 64.342497 samples/sec accuracy=42.040179 loss=2.526287 lr=0.093816 Epoch[067] Batch [0399]/[3760] Speed: 64.691882 samples/sec accuracy=42.105469 loss=2.521221 lr=0.093807 Epoch[067] Batch [0449]/[3760] Speed: 63.602682 samples/sec accuracy=42.069444 loss=2.519910 lr=0.093798 Epoch[067] Batch [0499]/[3760] Speed: 64.582221 samples/sec accuracy=42.100000 loss=2.521163 lr=0.093788 Epoch[067] Batch [0549]/[3760] Speed: 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acc-top1=42.320312 acc-top5=68.007812 Batch [0249]/[0303]: acc-top1=42.562500 acc-top5=68.287500 Batch [0299]/[0303]: acc-top1=42.401042 acc-top5=68.145833 [Epoch 067] training: accuracy=41.527178 loss=2.556946 [Epoch 067] speed: 63 samples/sec time cost: 4054.060155 [Epoch 067] validation: acc-top1=42.476279 acc-top5=68.187913 loss=2.828155 Epoch[068] Batch [0049]/[3760] Speed: 41.964895 samples/sec accuracy=43.093750 loss=2.482690 lr=0.093156 Epoch[068] Batch [0099]/[3760] Speed: 62.758432 samples/sec accuracy=41.781250 loss=2.504537 lr=0.093146 Epoch[068] Batch [0149]/[3760] Speed: 63.913799 samples/sec accuracy=41.739583 loss=2.525159 lr=0.093137 Epoch[068] Batch [0199]/[3760] Speed: 63.888664 samples/sec accuracy=42.140625 loss=2.516724 lr=0.093127 Epoch[068] Batch [0249]/[3760] Speed: 64.105622 samples/sec accuracy=42.193750 loss=2.527795 lr=0.093117 Epoch[068] Batch [0299]/[3760] Speed: 64.171649 samples/sec accuracy=42.250000 loss=2.523378 lr=0.093108 Epoch[068] Batch 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accuracy=41.910156 loss=2.537657 lr=0.093011 Epoch[068] Batch [0849]/[3760] Speed: 63.982611 samples/sec accuracy=41.871324 loss=2.536518 lr=0.093002 Epoch[068] Batch [0899]/[3760] Speed: 64.517075 samples/sec accuracy=41.909722 loss=2.536322 lr=0.092992 Epoch[068] Batch [0949]/[3760] Speed: 64.277709 samples/sec accuracy=41.922697 loss=2.535792 lr=0.092982 Epoch[068] Batch [0999]/[3760] Speed: 64.458038 samples/sec accuracy=41.948438 loss=2.535106 lr=0.092973 Epoch[068] Batch [1049]/[3760] Speed: 63.804377 samples/sec accuracy=41.953869 loss=2.536395 lr=0.092963 Epoch[068] Batch [1099]/[3760] Speed: 64.347017 samples/sec accuracy=41.953125 loss=2.536907 lr=0.092953 Epoch[068] Batch [1149]/[3760] Speed: 64.218170 samples/sec accuracy=41.980978 loss=2.535573 lr=0.092944 Epoch[068] Batch [1199]/[3760] Speed: 63.945670 samples/sec accuracy=41.897135 loss=2.540737 lr=0.092934 Epoch[068] Batch [1249]/[3760] Speed: 64.527796 samples/sec accuracy=41.835000 loss=2.543636 lr=0.092924 Epoch[068] 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accuracy=41.639286 loss=2.552303 lr=0.092827 Epoch[068] Batch [1799]/[3760] Speed: 64.502241 samples/sec accuracy=41.655382 loss=2.552005 lr=0.092818 Epoch[068] Batch [1849]/[3760] Speed: 64.270057 samples/sec accuracy=41.660473 loss=2.552263 lr=0.092808 Epoch[068] Batch [1899]/[3760] Speed: 63.971005 samples/sec accuracy=41.673520 loss=2.551770 lr=0.092798 Epoch[068] Batch [1949]/[3760] Speed: 64.464982 samples/sec accuracy=41.659455 loss=2.551396 lr=0.092789 Epoch[068] Batch [1999]/[3760] Speed: 64.430805 samples/sec accuracy=41.663281 loss=2.550476 lr=0.092779 Epoch[068] Batch [2049]/[3760] Speed: 64.368549 samples/sec accuracy=41.680640 loss=2.550398 lr=0.092769 Epoch[068] Batch [2099]/[3760] Speed: 63.687375 samples/sec accuracy=41.713542 loss=2.549752 lr=0.092759 Epoch[068] Batch [2149]/[3760] Speed: 64.943476 samples/sec accuracy=41.702035 loss=2.548696 lr=0.092750 Epoch[068] Batch [2199]/[3760] Speed: 64.115910 samples/sec accuracy=41.710227 loss=2.548224 lr=0.092740 Epoch[068] 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accuracy=41.606481 loss=2.551506 lr=0.092643 Epoch[068] Batch [2749]/[3760] Speed: 64.143154 samples/sec accuracy=41.593750 loss=2.552888 lr=0.092633 Epoch[068] Batch [2799]/[3760] Speed: 63.208919 samples/sec accuracy=41.598772 loss=2.553266 lr=0.092623 Epoch[068] Batch [2849]/[3760] Speed: 64.136216 samples/sec accuracy=41.604167 loss=2.552670 lr=0.092613 Epoch[068] Batch [2899]/[3760] Speed: 64.309956 samples/sec accuracy=41.613685 loss=2.552654 lr=0.092604 Epoch[068] Batch [2949]/[3760] Speed: 64.235018 samples/sec accuracy=41.608581 loss=2.552077 lr=0.092594 Epoch[068] Batch [2999]/[3760] Speed: 63.831419 samples/sec accuracy=41.632812 loss=2.551686 lr=0.092584 Epoch[068] Batch [3049]/[3760] Speed: 63.789559 samples/sec accuracy=41.625000 loss=2.551245 lr=0.092574 Epoch[068] Batch [3099]/[3760] Speed: 64.631058 samples/sec accuracy=41.604335 loss=2.552688 lr=0.092565 Epoch[068] Batch [3149]/[3760] Speed: 63.471018 samples/sec accuracy=41.591766 loss=2.554153 lr=0.092555 Epoch[068] Batch [3199]/[3760] Speed: 64.976013 samples/sec accuracy=41.603027 loss=2.554002 lr=0.092545 Epoch[068] Batch [3249]/[3760] Speed: 64.157458 samples/sec accuracy=41.605288 loss=2.554613 lr=0.092535 Epoch[068] Batch [3299]/[3760] Speed: 64.011326 samples/sec accuracy=41.604640 loss=2.554856 lr=0.092526 Epoch[068] Batch [3349]/[3760] Speed: 64.475993 samples/sec accuracy=41.619869 loss=2.553696 lr=0.092516 Epoch[068] Batch [3399]/[3760] Speed: 63.991937 samples/sec accuracy=41.612132 loss=2.554325 lr=0.092506 Epoch[068] Batch [3449]/[3760] Speed: 64.527220 samples/sec accuracy=41.604620 loss=2.554486 lr=0.092496 Epoch[068] Batch [3499]/[3760] Speed: 63.600369 samples/sec accuracy=41.577679 loss=2.554722 lr=0.092487 Epoch[068] Batch [3549]/[3760] Speed: 64.962624 samples/sec accuracy=41.579225 loss=2.554679 lr=0.092477 Epoch[068] Batch [3599]/[3760] Speed: 64.113901 samples/sec accuracy=41.594618 loss=2.554163 lr=0.092467 Epoch[068] Batch [3649]/[3760] Speed: 64.210400 samples/sec accuracy=41.614726 loss=2.553731 lr=0.092457 Epoch[068] Batch [3699]/[3760] Speed: 64.539601 samples/sec accuracy=41.607686 loss=2.554246 lr=0.092447 Epoch[068] Batch [3749]/[3760] Speed: 67.235863 samples/sec accuracy=41.610833 loss=2.554051 lr=0.092438 Batch [0049]/[0303]: acc-top1=41.718750 acc-top5=68.281250 Batch [0099]/[0303]: acc-top1=41.781250 acc-top5=68.875000 Batch [0149]/[0303]: acc-top1=41.802083 acc-top5=68.677083 Batch [0199]/[0303]: acc-top1=41.609375 acc-top5=68.687500 Batch [0249]/[0303]: acc-top1=41.656250 acc-top5=69.106250 Batch [0299]/[0303]: acc-top1=41.786458 acc-top5=69.104167 [Epoch 068] training: accuracy=41.619847 loss=2.553764 [Epoch 068] speed: 63 samples/sec time cost: 4058.448624 [Epoch 068] validation: acc-top1=41.831683 acc-top5=69.126444 loss=2.827480 Epoch[069] Batch [0049]/[3759] Speed: 42.378620 samples/sec accuracy=42.062500 loss=2.510532 lr=0.092426 Epoch[069] Batch [0099]/[3759] Speed: 62.136012 samples/sec accuracy=42.671875 loss=2.497174 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[0299]/[0303]: acc-top1=37.979167 acc-top5=65.057292 [Epoch 069] training: accuracy=41.686619 loss=2.546551 [Epoch 069] speed: 63 samples/sec time cost: 4056.919552 [Epoch 069] validation: acc-top1=37.974422 acc-top5=65.062913 loss=3.330456 Epoch[070] Batch [0049]/[3760] Speed: 42.269289 samples/sec accuracy=40.750000 loss=2.617687 lr=0.091684 Epoch[070] Batch [0099]/[3760] Speed: 62.761803 samples/sec accuracy=42.265625 loss=2.560807 lr=0.091674 Epoch[070] Batch [0149]/[3760] Speed: 63.609211 samples/sec accuracy=42.552083 loss=2.524323 lr=0.091664 Epoch[070] Batch [0199]/[3760] Speed: 63.977674 samples/sec accuracy=42.546875 loss=2.525145 lr=0.091654 Epoch[070] Batch [0249]/[3760] Speed: 64.170885 samples/sec accuracy=42.618750 loss=2.515491 lr=0.091644 Epoch[070] Batch [0299]/[3760] Speed: 64.054499 samples/sec accuracy=42.609375 loss=2.511333 lr=0.091634 Epoch[070] Batch [0349]/[3760] Speed: 63.655855 samples/sec accuracy=42.419643 loss=2.508736 lr=0.091624 Epoch[070] Batch 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accuracy=42.564338 loss=2.505095 lr=0.091524 Epoch[070] Batch [0899]/[3760] Speed: 64.538493 samples/sec accuracy=42.506944 loss=2.508433 lr=0.091514 Epoch[070] Batch [0949]/[3760] Speed: 64.682285 samples/sec accuracy=42.514803 loss=2.508753 lr=0.091504 Epoch[070] Batch [0999]/[3760] Speed: 64.290380 samples/sec accuracy=42.379688 loss=2.513437 lr=0.091494 Epoch[070] Batch [1049]/[3760] Speed: 64.156554 samples/sec accuracy=42.388393 loss=2.512124 lr=0.091484 Epoch[070] Batch [1099]/[3760] Speed: 63.543374 samples/sec accuracy=42.342330 loss=2.513766 lr=0.091474 Epoch[070] Batch [1149]/[3760] Speed: 64.802698 samples/sec accuracy=42.307065 loss=2.516961 lr=0.091464 Epoch[070] Batch [1199]/[3760] Speed: 64.402456 samples/sec accuracy=42.308594 loss=2.516513 lr=0.091454 Epoch[070] Batch [1249]/[3760] Speed: 64.288354 samples/sec accuracy=42.345000 loss=2.516583 lr=0.091444 Epoch[070] Batch [1299]/[3760] Speed: 64.218738 samples/sec accuracy=42.366587 loss=2.515442 lr=0.091434 Epoch[070] 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accuracy=42.318576 loss=2.518989 lr=0.091334 Epoch[070] Batch [1849]/[3760] Speed: 63.601343 samples/sec accuracy=42.303209 loss=2.519640 lr=0.091324 Epoch[070] Batch [1899]/[3760] Speed: 64.548529 samples/sec accuracy=42.279605 loss=2.522156 lr=0.091314 Epoch[070] Batch [1949]/[3760] Speed: 64.027918 samples/sec accuracy=42.266827 loss=2.522673 lr=0.091304 Epoch[070] Batch [1999]/[3760] Speed: 64.288069 samples/sec accuracy=42.246875 loss=2.522275 lr=0.091294 Epoch[070] Batch [2049]/[3760] Speed: 64.288719 samples/sec accuracy=42.248476 loss=2.523094 lr=0.091284 Epoch[070] Batch [2099]/[3760] Speed: 63.515020 samples/sec accuracy=42.218750 loss=2.524062 lr=0.091274 Epoch[070] Batch [2149]/[3760] Speed: 64.785944 samples/sec accuracy=42.255087 loss=2.523898 lr=0.091264 Epoch[070] Batch [2199]/[3760] Speed: 63.680500 samples/sec accuracy=42.233665 loss=2.525251 lr=0.091253 Epoch[070] Batch [2249]/[3760] Speed: 64.217582 samples/sec accuracy=42.172917 loss=2.527874 lr=0.091243 Epoch[070] 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accuracy=42.107955 loss=2.531134 lr=0.091143 Epoch[070] Batch [2799]/[3760] Speed: 64.443951 samples/sec accuracy=42.113839 loss=2.531790 lr=0.091133 Epoch[070] Batch [2849]/[3760] Speed: 63.606103 samples/sec accuracy=42.125548 loss=2.530851 lr=0.091123 Epoch[070] Batch [2899]/[3760] Speed: 65.034440 samples/sec accuracy=42.116918 loss=2.531252 lr=0.091113 Epoch[070] Batch [2949]/[3760] Speed: 64.356216 samples/sec accuracy=42.129767 loss=2.531452 lr=0.091102 Epoch[070] Batch [2999]/[3760] Speed: 64.182506 samples/sec accuracy=42.107813 loss=2.532526 lr=0.091092 Epoch[070] Batch [3049]/[3760] Speed: 64.416888 samples/sec accuracy=42.096824 loss=2.533558 lr=0.091082 Epoch[070] Batch [3099]/[3760] Speed: 64.243647 samples/sec accuracy=42.062500 loss=2.535303 lr=0.091072 Epoch[070] Batch [3149]/[3760] Speed: 64.130441 samples/sec accuracy=42.057540 loss=2.535311 lr=0.091062 Epoch[070] Batch [3199]/[3760] Speed: 64.607925 samples/sec accuracy=42.060547 loss=2.535443 lr=0.091052 Epoch[070] Batch [3249]/[3760] Speed: 64.498631 samples/sec accuracy=42.056731 loss=2.536672 lr=0.091042 Epoch[070] Batch [3299]/[3760] Speed: 64.239739 samples/sec accuracy=42.035511 loss=2.537260 lr=0.091032 Epoch[070] Batch [3349]/[3760] Speed: 64.131979 samples/sec accuracy=42.036847 loss=2.537215 lr=0.091022 Epoch[070] Batch [3399]/[3760] Speed: 64.219592 samples/sec accuracy=42.013787 loss=2.537862 lr=0.091012 Epoch[070] Batch [3449]/[3760] Speed: 64.591711 samples/sec accuracy=42.000906 loss=2.538351 lr=0.091002 Epoch[070] Batch [3499]/[3760] Speed: 64.158248 samples/sec accuracy=41.992411 loss=2.538349 lr=0.090991 Epoch[070] Batch [3549]/[3760] Speed: 64.886960 samples/sec accuracy=41.982835 loss=2.538589 lr=0.090981 Epoch[070] Batch [3599]/[3760] Speed: 64.536415 samples/sec accuracy=41.994792 loss=2.538590 lr=0.090971 Epoch[070] Batch [3649]/[3760] Speed: 63.896964 samples/sec accuracy=41.977740 loss=2.539561 lr=0.090961 Epoch[070] Batch [3699]/[3760] Speed: 64.498925 samples/sec accuracy=41.985220 loss=2.539230 lr=0.090951 Epoch[070] Batch [3749]/[3760] Speed: 67.360247 samples/sec accuracy=41.994583 loss=2.539449 lr=0.090941 Batch [0049]/[0303]: acc-top1=40.656250 acc-top5=65.875000 Batch [0099]/[0303]: acc-top1=40.406250 acc-top5=66.812500 Batch [0149]/[0303]: acc-top1=40.520833 acc-top5=67.104167 Batch [0199]/[0303]: acc-top1=40.710938 acc-top5=67.250000 Batch [0249]/[0303]: acc-top1=40.887500 acc-top5=67.450000 Batch [0299]/[0303]: acc-top1=41.078125 acc-top5=67.354167 [Epoch 070] training: accuracy=41.996343 loss=2.539700 [Epoch 070] speed: 63 samples/sec time cost: 4055.401494 [Epoch 070] validation: acc-top1=41.089109 acc-top5=67.362830 loss=2.910927 Epoch[071] Batch [0049]/[3760] Speed: 42.168638 samples/sec accuracy=42.187500 loss=2.508667 lr=0.090929 Epoch[071] Batch [0099]/[3760] Speed: 62.155523 samples/sec accuracy=41.875000 loss=2.539558 lr=0.090919 Epoch[071] Batch [0149]/[3760] Speed: 64.646906 samples/sec accuracy=42.052083 loss=2.529710 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lr=0.090328 Epoch[071] Batch [3049]/[3760] Speed: 64.298534 samples/sec accuracy=42.178791 loss=2.531896 lr=0.090318 Epoch[071] Batch [3099]/[3760] Speed: 64.114630 samples/sec accuracy=42.189012 loss=2.531970 lr=0.090308 Epoch[071] Batch [3149]/[3760] Speed: 63.921309 samples/sec accuracy=42.195437 loss=2.531271 lr=0.090297 Epoch[071] Batch [3199]/[3760] Speed: 64.480900 samples/sec accuracy=42.176758 loss=2.531393 lr=0.090287 Epoch[071] Batch [3249]/[3760] Speed: 63.842329 samples/sec accuracy=42.150481 loss=2.531797 lr=0.090277 Epoch[071] Batch [3299]/[3760] Speed: 64.472601 samples/sec accuracy=42.149621 loss=2.531080 lr=0.090267 Epoch[071] Batch [3349]/[3760] Speed: 63.753062 samples/sec accuracy=42.131063 loss=2.532206 lr=0.090256 Epoch[071] Batch [3399]/[3760] Speed: 64.793201 samples/sec accuracy=42.107537 loss=2.532700 lr=0.090246 Epoch[071] Batch [3449]/[3760] Speed: 64.664468 samples/sec accuracy=42.095109 loss=2.532791 lr=0.090236 Epoch[071] Batch [3499]/[3760] Speed: 64.030129 samples/sec accuracy=42.077232 loss=2.532616 lr=0.090226 Epoch[071] Batch [3549]/[3760] Speed: 64.258315 samples/sec accuracy=42.055898 loss=2.533728 lr=0.090215 Epoch[071] Batch [3599]/[3760] Speed: 63.742654 samples/sec accuracy=42.049913 loss=2.533835 lr=0.090205 Epoch[071] Batch [3649]/[3760] Speed: 64.383518 samples/sec accuracy=42.046233 loss=2.533742 lr=0.090195 Epoch[071] Batch [3699]/[3760] Speed: 64.561683 samples/sec accuracy=42.042652 loss=2.533904 lr=0.090185 Epoch[071] Batch [3749]/[3760] Speed: 67.599959 samples/sec accuracy=42.037083 loss=2.533885 lr=0.090174 Batch [0049]/[0303]: acc-top1=41.187500 acc-top5=67.906250 Batch [0099]/[0303]: acc-top1=41.390625 acc-top5=68.421875 Batch [0149]/[0303]: acc-top1=41.791667 acc-top5=68.593750 Batch [0199]/[0303]: acc-top1=41.726562 acc-top5=68.945312 Batch [0249]/[0303]: acc-top1=41.931250 acc-top5=69.231250 Batch [0299]/[0303]: acc-top1=41.875000 acc-top5=69.244792 [Epoch 071] training: accuracy=42.035406 loss=2.534175 [Epoch 071] speed: 63 samples/sec time cost: 4058.486869 [Epoch 071] validation: acc-top1=41.878094 acc-top5=69.281147 loss=2.764074 Epoch[072] Batch [0049]/[3759] Speed: 42.125858 samples/sec accuracy=43.718750 loss=2.478443 lr=0.090162 Epoch[072] Batch [0099]/[3759] Speed: 62.680574 samples/sec accuracy=43.984375 loss=2.449553 lr=0.090152 Epoch[072] Batch [0149]/[3759] Speed: 64.391079 samples/sec accuracy=43.666667 loss=2.465266 lr=0.090141 Epoch[072] Batch [0199]/[3759] Speed: 63.389760 samples/sec accuracy=43.304688 loss=2.472532 lr=0.090131 Epoch[072] Batch [0249]/[3759] Speed: 65.059389 samples/sec accuracy=43.231250 loss=2.476976 lr=0.090121 Epoch[072] Batch [0299]/[3759] Speed: 64.226973 samples/sec accuracy=43.140625 loss=2.479730 lr=0.090111 Epoch[072] Batch [0349]/[3759] Speed: 64.142927 samples/sec accuracy=42.821429 loss=2.494270 lr=0.090100 Epoch[072] Batch [0399]/[3759] Speed: 64.503198 samples/sec accuracy=42.835938 loss=2.495910 lr=0.090090 Epoch[072] Batch 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accuracy=42.322917 loss=2.503437 lr=0.089987 Epoch[072] Batch [0949]/[3759] Speed: 63.829766 samples/sec accuracy=42.241776 loss=2.506648 lr=0.089977 Epoch[072] Batch [0999]/[3759] Speed: 64.539865 samples/sec accuracy=42.240625 loss=2.507668 lr=0.089966 Epoch[072] Batch [1049]/[3759] Speed: 63.432204 samples/sec accuracy=42.190476 loss=2.508953 lr=0.089956 Epoch[072] Batch [1099]/[3759] Speed: 64.881683 samples/sec accuracy=42.132102 loss=2.511052 lr=0.089946 Epoch[072] Batch [1149]/[3759] Speed: 64.656021 samples/sec accuracy=42.188859 loss=2.511598 lr=0.089935 Epoch[072] Batch [1199]/[3759] Speed: 64.102766 samples/sec accuracy=42.179688 loss=2.513114 lr=0.089925 Epoch[072] Batch [1249]/[3759] Speed: 64.108487 samples/sec accuracy=42.258750 loss=2.511163 lr=0.089915 Epoch[072] Batch [1299]/[3759] Speed: 63.227856 samples/sec accuracy=42.263221 loss=2.510611 lr=0.089905 Epoch[072] Batch [1349]/[3759] Speed: 64.706246 samples/sec accuracy=42.206019 loss=2.515105 lr=0.089894 Epoch[072] 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accuracy=42.154561 loss=2.519380 lr=0.089791 Epoch[072] Batch [1899]/[3759] Speed: 63.907874 samples/sec accuracy=42.135691 loss=2.520365 lr=0.089780 Epoch[072] Batch [1949]/[3759] Speed: 64.652859 samples/sec accuracy=42.197917 loss=2.518693 lr=0.089770 Epoch[072] Batch [1999]/[3759] Speed: 64.345756 samples/sec accuracy=42.203125 loss=2.519427 lr=0.089760 Epoch[072] Batch [2049]/[3759] Speed: 64.374180 samples/sec accuracy=42.221037 loss=2.519187 lr=0.089749 Epoch[072] Batch [2099]/[3759] Speed: 64.470593 samples/sec accuracy=42.225446 loss=2.519229 lr=0.089739 Epoch[072] Batch [2149]/[3759] Speed: 63.250256 samples/sec accuracy=42.170058 loss=2.520972 lr=0.089729 Epoch[072] Batch [2199]/[3759] Speed: 64.799431 samples/sec accuracy=42.175426 loss=2.521898 lr=0.089718 Epoch[072] Batch [2249]/[3759] Speed: 64.171014 samples/sec accuracy=42.217361 loss=2.520512 lr=0.089708 Epoch[072] Batch [2299]/[3759] Speed: 63.871883 samples/sec accuracy=42.235734 loss=2.519607 lr=0.089698 Epoch[072] Batch [2349]/[3759] Speed: 64.212714 samples/sec accuracy=42.255319 loss=2.519356 lr=0.089687 Epoch[072] Batch [2399]/[3759] Speed: 63.940593 samples/sec accuracy=42.263672 loss=2.518794 lr=0.089677 Epoch[072] Batch [2449]/[3759] Speed: 64.878236 samples/sec accuracy=42.272959 loss=2.519300 lr=0.089666 Epoch[072] Batch [2499]/[3759] Speed: 64.163622 samples/sec accuracy=42.260000 loss=2.520812 lr=0.089656 Epoch[072] Batch [2549]/[3759] Speed: 63.848116 samples/sec accuracy=42.275735 loss=2.520002 lr=0.089646 Epoch[072] Batch [2599]/[3759] Speed: 64.611383 samples/sec accuracy=42.276442 loss=2.520495 lr=0.089635 Epoch[072] Batch [2649]/[3759] Speed: 63.902059 samples/sec accuracy=42.293632 loss=2.520039 lr=0.089625 Epoch[072] Batch [2699]/[3759] Speed: 65.212795 samples/sec accuracy=42.284144 loss=2.520716 lr=0.089615 Epoch[072] Batch [2749]/[3759] Speed: 64.070306 samples/sec accuracy=42.285227 loss=2.521243 lr=0.089604 Epoch[072] Batch [2799]/[3759] Speed: 63.686004 samples/sec accuracy=42.280134 loss=2.522355 lr=0.089594 Epoch[072] Batch [2849]/[3759] Speed: 63.980711 samples/sec accuracy=42.272478 loss=2.523429 lr=0.089583 Epoch[072] Batch [2899]/[3759] Speed: 64.050893 samples/sec accuracy=42.276940 loss=2.523491 lr=0.089573 Epoch[072] Batch [2949]/[3759] Speed: 64.423788 samples/sec accuracy=42.262712 loss=2.524114 lr=0.089563 Epoch[072] Batch [2999]/[3759] Speed: 64.822142 samples/sec accuracy=42.243750 loss=2.525258 lr=0.089552 Epoch[072] Batch [3049]/[3759] Speed: 64.167698 samples/sec accuracy=42.225410 loss=2.526003 lr=0.089542 Epoch[072] Batch [3099]/[3759] Speed: 64.298656 samples/sec accuracy=42.200101 loss=2.526085 lr=0.089531 Epoch[072] Batch [3149]/[3759] Speed: 64.035286 samples/sec accuracy=42.201389 loss=2.525747 lr=0.089521 Epoch[072] Batch [3199]/[3759] Speed: 64.481380 samples/sec accuracy=42.200684 loss=2.525756 lr=0.089511 Epoch[072] Batch [3249]/[3759] Speed: 64.829531 samples/sec accuracy=42.199519 loss=2.526584 lr=0.089500 Epoch[072] Batch [3299]/[3759] Speed: 63.923728 samples/sec accuracy=42.211648 loss=2.525437 lr=0.089490 Epoch[072] Batch [3349]/[3759] Speed: 64.446932 samples/sec accuracy=42.199627 loss=2.526155 lr=0.089479 Epoch[072] Batch [3399]/[3759] Speed: 63.689167 samples/sec accuracy=42.194393 loss=2.526870 lr=0.089469 Epoch[072] Batch [3449]/[3759] Speed: 64.488437 samples/sec accuracy=42.197011 loss=2.526246 lr=0.089459 Epoch[072] Batch [3499]/[3759] Speed: 63.431104 samples/sec accuracy=42.179018 loss=2.527465 lr=0.089448 Epoch[072] Batch [3549]/[3759] Speed: 64.758760 samples/sec accuracy=42.158011 loss=2.528957 lr=0.089438 Epoch[072] Batch [3599]/[3759] Speed: 64.122427 samples/sec accuracy=42.139757 loss=2.529935 lr=0.089427 Epoch[072] Batch [3649]/[3759] Speed: 64.140830 samples/sec accuracy=42.154110 loss=2.529554 lr=0.089417 Epoch[072] Batch [3699]/[3759] Speed: 64.156558 samples/sec accuracy=42.158361 loss=2.528898 lr=0.089406 Epoch[072] Batch [3749]/[3759] Speed: 67.816570 samples/sec accuracy=42.168333 loss=2.528481 lr=0.089396 Batch [0049]/[0303]: acc-top1=39.187500 acc-top5=64.593750 Batch [0099]/[0303]: acc-top1=38.593750 acc-top5=65.140625 Batch [0149]/[0303]: acc-top1=38.593750 acc-top5=65.062500 Batch [0199]/[0303]: acc-top1=38.687500 acc-top5=65.054688 Batch [0249]/[0303]: acc-top1=39.050000 acc-top5=65.337500 Batch [0299]/[0303]: acc-top1=39.171875 acc-top5=65.166667 [Epoch 072] training: accuracy=42.164223 loss=2.528604 [Epoch 072] speed: 63 samples/sec time cost: 4058.289587 [Epoch 072] validation: acc-top1=39.237830 acc-top5=65.196988 loss=3.001066 Epoch[073] Batch [0049]/[3760] Speed: 42.065512 samples/sec accuracy=43.437500 loss=2.430487 lr=0.089384 Epoch[073] Batch [0099]/[3760] Speed: 62.406790 samples/sec accuracy=43.437500 loss=2.472248 lr=0.089373 Epoch[073] Batch [0149]/[3760] Speed: 64.315234 samples/sec accuracy=43.239583 loss=2.459579 lr=0.089363 Epoch[073] Batch [0199]/[3760] Speed: 63.788304 samples/sec accuracy=43.289062 loss=2.454745 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lr=0.088754 Epoch[073] Batch [3099]/[3760] Speed: 63.531102 samples/sec accuracy=42.375000 loss=2.517503 lr=0.088744 Epoch[073] Batch [3149]/[3760] Speed: 64.285613 samples/sec accuracy=42.364087 loss=2.518002 lr=0.088733 Epoch[073] Batch [3199]/[3760] Speed: 64.410882 samples/sec accuracy=42.375488 loss=2.517874 lr=0.088723 Epoch[073] Batch [3249]/[3760] Speed: 64.053095 samples/sec accuracy=42.366827 loss=2.518048 lr=0.088712 Epoch[073] Batch [3299]/[3760] Speed: 64.460214 samples/sec accuracy=42.340909 loss=2.519335 lr=0.088702 Epoch[073] Batch [3349]/[3760] Speed: 63.777290 samples/sec accuracy=42.327892 loss=2.519484 lr=0.088691 Epoch[073] Batch [3399]/[3760] Speed: 64.640267 samples/sec accuracy=42.304688 loss=2.520090 lr=0.088680 Epoch[073] Batch [3449]/[3760] Speed: 64.551951 samples/sec accuracy=42.301630 loss=2.520418 lr=0.088670 Epoch[073] Batch [3499]/[3760] Speed: 63.704471 samples/sec accuracy=42.292857 loss=2.520557 lr=0.088659 Epoch[073] Batch [3549]/[3760] Speed: 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acc-top5=69.167698 loss=2.768555 Epoch[074] Batch [0049]/[3760] Speed: 42.669749 samples/sec accuracy=43.218750 loss=2.436569 lr=0.088594 Epoch[074] Batch [0099]/[3760] Speed: 62.348230 samples/sec accuracy=42.515625 loss=2.473015 lr=0.088583 Epoch[074] Batch [0149]/[3760] Speed: 63.889843 samples/sec accuracy=42.604167 loss=2.488264 lr=0.088573 Epoch[074] Batch [0199]/[3760] Speed: 62.975194 samples/sec accuracy=42.421875 loss=2.495626 lr=0.088562 Epoch[074] Batch [0249]/[3760] Speed: 64.957561 samples/sec accuracy=42.575000 loss=2.487049 lr=0.088551 Epoch[074] Batch [0299]/[3760] Speed: 64.238354 samples/sec accuracy=42.817708 loss=2.479568 lr=0.088541 Epoch[074] Batch [0349]/[3760] Speed: 64.262560 samples/sec accuracy=42.803571 loss=2.476162 lr=0.088530 Epoch[074] Batch [0399]/[3760] Speed: 64.074833 samples/sec accuracy=42.652344 loss=2.480607 lr=0.088520 Epoch[074] Batch [0449]/[3760] Speed: 64.080453 samples/sec accuracy=42.572917 loss=2.479283 lr=0.088509 Epoch[074] Batch 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accuracy=42.250000 loss=2.506099 lr=0.088403 Epoch[074] Batch [0999]/[3760] Speed: 64.597969 samples/sec accuracy=42.192188 loss=2.507648 lr=0.088392 Epoch[074] Batch [1049]/[3760] Speed: 64.006542 samples/sec accuracy=42.255952 loss=2.507006 lr=0.088382 Epoch[074] Batch [1099]/[3760] Speed: 64.150532 samples/sec accuracy=42.238636 loss=2.507989 lr=0.088371 Epoch[074] Batch [1149]/[3760] Speed: 64.193642 samples/sec accuracy=42.214674 loss=2.509945 lr=0.088361 Epoch[074] Batch [1199]/[3760] Speed: 64.425606 samples/sec accuracy=42.220052 loss=2.509873 lr=0.088350 Epoch[074] Batch [1249]/[3760] Speed: 64.420037 samples/sec accuracy=42.232500 loss=2.508505 lr=0.088339 Epoch[074] Batch [1299]/[3760] Speed: 64.530613 samples/sec accuracy=42.225962 loss=2.509068 lr=0.088329 Epoch[074] Batch [1349]/[3760] Speed: 63.936562 samples/sec accuracy=42.207176 loss=2.507577 lr=0.088318 Epoch[074] Batch [1399]/[3760] Speed: 63.893810 samples/sec accuracy=42.160714 loss=2.508357 lr=0.088307 Epoch[074] 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accuracy=42.229441 loss=2.509404 lr=0.088201 Epoch[074] Batch [1949]/[3760] Speed: 64.240515 samples/sec accuracy=42.166667 loss=2.511127 lr=0.088190 Epoch[074] Batch [1999]/[3760] Speed: 64.334900 samples/sec accuracy=42.164062 loss=2.511763 lr=0.088180 Epoch[074] Batch [2049]/[3760] Speed: 64.102003 samples/sec accuracy=42.179116 loss=2.512224 lr=0.088169 Epoch[074] Batch [2099]/[3760] Speed: 63.862278 samples/sec accuracy=42.165923 loss=2.513433 lr=0.088158 Epoch[074] Batch [2149]/[3760] Speed: 64.342562 samples/sec accuracy=42.184593 loss=2.514376 lr=0.088148 Epoch[074] Batch [2199]/[3760] Speed: 64.001115 samples/sec accuracy=42.188210 loss=2.514902 lr=0.088137 Epoch[074] Batch [2249]/[3760] Speed: 64.737770 samples/sec accuracy=42.175000 loss=2.515528 lr=0.088126 Epoch[074] Batch [2299]/[3760] Speed: 64.195807 samples/sec accuracy=42.175951 loss=2.516355 lr=0.088116 Epoch[074] Batch [2349]/[3760] Speed: 64.052174 samples/sec accuracy=42.166888 loss=2.517299 lr=0.088105 Epoch[074] 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accuracy=42.162829 loss=2.517667 lr=0.087998 Epoch[074] Batch [2899]/[3760] Speed: 64.244118 samples/sec accuracy=42.176185 loss=2.517940 lr=0.087987 Epoch[074] Batch [2949]/[3760] Speed: 63.908687 samples/sec accuracy=42.181144 loss=2.517521 lr=0.087977 Epoch[074] Batch [2999]/[3760] Speed: 64.515673 samples/sec accuracy=42.189062 loss=2.517618 lr=0.087966 Epoch[074] Batch [3049]/[3760] Speed: 64.693562 samples/sec accuracy=42.172131 loss=2.517900 lr=0.087955 Epoch[074] Batch [3099]/[3760] Speed: 63.961902 samples/sec accuracy=42.175403 loss=2.518134 lr=0.087945 Epoch[074] Batch [3149]/[3760] Speed: 64.043786 samples/sec accuracy=42.147321 loss=2.519716 lr=0.087934 Epoch[074] Batch [3199]/[3760] Speed: 63.778608 samples/sec accuracy=42.145508 loss=2.519579 lr=0.087923 Epoch[074] Batch [3249]/[3760] Speed: 64.760284 samples/sec accuracy=42.155288 loss=2.518629 lr=0.087913 Epoch[074] Batch [3299]/[3760] Speed: 64.397258 samples/sec accuracy=42.136837 loss=2.519460 lr=0.087902 Epoch[074] Batch [3349]/[3760] Speed: 64.192090 samples/sec accuracy=42.143190 loss=2.519569 lr=0.087891 Epoch[074] Batch [3399]/[3760] Speed: 64.490643 samples/sec accuracy=42.153952 loss=2.518811 lr=0.087880 Epoch[074] Batch [3449]/[3760] Speed: 63.883269 samples/sec accuracy=42.161685 loss=2.518732 lr=0.087870 Epoch[074] Batch [3499]/[3760] Speed: 64.754485 samples/sec accuracy=42.153125 loss=2.519212 lr=0.087859 Epoch[074] Batch [3549]/[3760] Speed: 64.408398 samples/sec accuracy=42.160211 loss=2.519523 lr=0.087848 Epoch[074] Batch [3599]/[3760] Speed: 63.986817 samples/sec accuracy=42.174479 loss=2.520286 lr=0.087838 Epoch[074] Batch [3649]/[3760] Speed: 63.858059 samples/sec accuracy=42.158390 loss=2.521329 lr=0.087827 Epoch[074] Batch [3699]/[3760] Speed: 63.664555 samples/sec accuracy=42.159206 loss=2.521430 lr=0.087816 Epoch[074] Batch [3749]/[3760] Speed: 68.745461 samples/sec accuracy=42.166667 loss=2.521374 lr=0.087805 Batch [0049]/[0303]: acc-top1=41.968750 acc-top5=69.718750 Batch [0099]/[0303]: acc-top1=41.671875 acc-top5=69.984375 Batch [0149]/[0303]: acc-top1=41.822917 acc-top5=70.354167 Batch [0199]/[0303]: acc-top1=42.234375 acc-top5=70.304688 Batch [0249]/[0303]: acc-top1=42.437500 acc-top5=70.487500 Batch [0299]/[0303]: acc-top1=42.453125 acc-top5=70.380208 [Epoch 074] training: accuracy=42.165891 loss=2.521633 [Epoch 074] speed: 63 samples/sec time cost: 4055.091216 [Epoch 074] validation: acc-top1=42.512376 acc-top5=70.353754 loss=2.699440 Epoch[075] Batch [0049]/[3759] Speed: 42.459279 samples/sec accuracy=43.875000 loss=2.394024 lr=0.087793 Epoch[075] Batch [0099]/[3759] Speed: 61.845850 samples/sec accuracy=44.218750 loss=2.408592 lr=0.087782 Epoch[075] Batch [0149]/[3759] Speed: 64.216359 samples/sec accuracy=44.375000 loss=2.413215 lr=0.087771 Epoch[075] Batch [0199]/[3759] Speed: 62.974038 samples/sec accuracy=44.015625 loss=2.439723 lr=0.087760 Epoch[075] Batch [0249]/[3759] Speed: 64.771721 samples/sec accuracy=43.950000 loss=2.439674 lr=0.087750 Epoch[075] Batch [0299]/[3759] Speed: 64.290201 samples/sec accuracy=43.828125 loss=2.442941 lr=0.087739 Epoch[075] Batch [0349]/[3759] Speed: 64.392812 samples/sec accuracy=43.857143 loss=2.446061 lr=0.087728 Epoch[075] Batch [0399]/[3759] Speed: 64.322934 samples/sec accuracy=43.761719 loss=2.448668 lr=0.087717 Epoch[075] Batch [0449]/[3759] Speed: 63.857563 samples/sec accuracy=43.722222 loss=2.454190 lr=0.087707 Epoch[075] Batch [0499]/[3759] Speed: 64.684000 samples/sec accuracy=43.578125 loss=2.458457 lr=0.087696 Epoch[075] Batch [0549]/[3759] Speed: 64.401417 samples/sec accuracy=43.431818 loss=2.466958 lr=0.087685 Epoch[075] Batch [0599]/[3759] Speed: 64.068059 samples/sec accuracy=43.343750 loss=2.468485 lr=0.087674 Epoch[075] Batch [0649]/[3759] Speed: 64.277975 samples/sec accuracy=43.432692 loss=2.466080 lr=0.087664 Epoch[075] Batch [0699]/[3759] Speed: 63.719790 samples/sec accuracy=43.328125 loss=2.471954 lr=0.087653 Epoch[075] Batch [0749]/[3759] Speed: 64.871784 samples/sec accuracy=43.283333 loss=2.475826 lr=0.087642 Epoch[075] Batch [0799]/[3759] Speed: 64.397156 samples/sec accuracy=43.185547 loss=2.478571 lr=0.087631 Epoch[075] Batch [0849]/[3759] Speed: 64.048493 samples/sec accuracy=43.163603 loss=2.478450 lr=0.087621 Epoch[075] Batch [0899]/[3759] Speed: 64.640912 samples/sec accuracy=43.093750 loss=2.481343 lr=0.087610 Epoch[075] Batch [0949]/[3759] Speed: 63.545463 samples/sec accuracy=43.067434 loss=2.481118 lr=0.087599 Epoch[075] Batch [0999]/[3759] Speed: 64.614670 samples/sec accuracy=43.096875 loss=2.479155 lr=0.087588 Epoch[075] Batch [1049]/[3759] Speed: 64.301690 samples/sec accuracy=43.059524 loss=2.480437 lr=0.087578 Epoch[075] Batch [1099]/[3759] Speed: 64.480909 samples/sec accuracy=42.977273 loss=2.482284 lr=0.087567 Epoch[075] Batch [1149]/[3759] Speed: 64.232843 samples/sec accuracy=42.900815 loss=2.483643 lr=0.087556 Epoch[075] Batch [1199]/[3759] Speed: 63.657345 samples/sec accuracy=42.888021 loss=2.485142 lr=0.087545 Epoch[075] Batch [1249]/[3759] Speed: 64.836149 samples/sec accuracy=42.872500 loss=2.486290 lr=0.087535 Epoch[075] Batch [1299]/[3759] Speed: 64.411719 samples/sec accuracy=42.801683 loss=2.489793 lr=0.087524 Epoch[075] Batch [1349]/[3759] Speed: 64.178568 samples/sec accuracy=42.771991 loss=2.489656 lr=0.087513 Epoch[075] Batch [1399]/[3759] Speed: 64.415575 samples/sec accuracy=42.753348 loss=2.489972 lr=0.087502 Epoch[075] Batch [1449]/[3759] Speed: 63.517202 samples/sec accuracy=42.726293 loss=2.490647 lr=0.087491 Epoch[075] Batch [1499]/[3759] Speed: 64.826547 samples/sec accuracy=42.710417 loss=2.491530 lr=0.087481 Epoch[075] Batch [1549]/[3759] Speed: 64.410812 samples/sec accuracy=42.696573 loss=2.493047 lr=0.087470 Epoch[075] Batch [1599]/[3759] Speed: 64.339418 samples/sec accuracy=42.699219 loss=2.494064 lr=0.087459 Epoch[075] Batch [1649]/[3759] Speed: 64.285300 samples/sec accuracy=42.650568 loss=2.495685 lr=0.087448 Epoch[075] Batch [1699]/[3759] Speed: 64.409391 samples/sec accuracy=42.623162 loss=2.496992 lr=0.087438 Epoch[075] Batch [1749]/[3759] Speed: 63.985513 samples/sec accuracy=42.544643 loss=2.499766 lr=0.087427 Epoch[075] Batch [1799]/[3759] Speed: 64.540189 samples/sec accuracy=42.494792 loss=2.501617 lr=0.087416 Epoch[075] Batch [1849]/[3759] Speed: 64.186232 samples/sec accuracy=42.535473 loss=2.501618 lr=0.087405 Epoch[075] Batch [1899]/[3759] Speed: 64.290429 samples/sec accuracy=42.557566 loss=2.500018 lr=0.087394 Epoch[075] Batch [1949]/[3759] Speed: 64.959654 samples/sec accuracy=42.535256 loss=2.501068 lr=0.087384 Epoch[075] Batch [1999]/[3759] Speed: 63.633728 samples/sec accuracy=42.528125 loss=2.500648 lr=0.087373 Epoch[075] Batch [2049]/[3759] Speed: 64.378084 samples/sec accuracy=42.515244 loss=2.501179 lr=0.087362 Epoch[075] Batch [2099]/[3759] Speed: 63.978240 samples/sec accuracy=42.499256 loss=2.502351 lr=0.087351 Epoch[075] Batch [2149]/[3759] Speed: 64.078626 samples/sec accuracy=42.534884 loss=2.502371 lr=0.087340 Epoch[075] Batch [2199]/[3759] Speed: 64.531113 samples/sec accuracy=42.554688 loss=2.501963 lr=0.087330 Epoch[075] Batch [2249]/[3759] Speed: 63.568419 samples/sec accuracy=42.565278 loss=2.501357 lr=0.087319 Epoch[075] Batch [2299]/[3759] Speed: 64.755914 samples/sec accuracy=42.577446 loss=2.501354 lr=0.087308 Epoch[075] Batch [2349]/[3759] Speed: 64.203679 samples/sec accuracy=42.582447 loss=2.501633 lr=0.087297 Epoch[075] Batch [2399]/[3759] Speed: 64.153235 samples/sec accuracy=42.558594 loss=2.501718 lr=0.087286 Epoch[075] Batch [2449]/[3759] Speed: 64.601892 samples/sec accuracy=42.561224 loss=2.501941 lr=0.087275 Epoch[075] Batch [2499]/[3759] Speed: 63.710216 samples/sec accuracy=42.546250 loss=2.502341 lr=0.087265 Epoch[075] Batch [2549]/[3759] Speed: 65.035044 samples/sec accuracy=42.561275 loss=2.501631 lr=0.087254 Epoch[075] Batch [2599]/[3759] Speed: 63.621556 samples/sec accuracy=42.527644 loss=2.502741 lr=0.087243 Epoch[075] Batch [2649]/[3759] Speed: 64.797824 samples/sec accuracy=42.520637 loss=2.503160 lr=0.087232 Epoch[075] Batch [2699]/[3759] Speed: 64.534961 samples/sec accuracy=42.493056 loss=2.504280 lr=0.087221 Epoch[075] Batch [2749]/[3759] Speed: 64.134176 samples/sec accuracy=42.467614 loss=2.504249 lr=0.087210 Epoch[075] Batch [2799]/[3759] Speed: 64.175825 samples/sec accuracy=42.462612 loss=2.504583 lr=0.087200 Epoch[075] Batch [2849]/[3759] Speed: 63.357639 samples/sec accuracy=42.453399 loss=2.505465 lr=0.087189 Epoch[075] Batch [2899]/[3759] Speed: 65.053224 samples/sec accuracy=42.485453 loss=2.504626 lr=0.087178 Epoch[075] Batch [2949]/[3759] Speed: 64.324006 samples/sec accuracy=42.478284 loss=2.504686 lr=0.087167 Epoch[075] Batch [2999]/[3759] Speed: 63.889634 samples/sec accuracy=42.489583 loss=2.504636 lr=0.087156 Epoch[075] Batch [3049]/[3759] Speed: 64.665453 samples/sec accuracy=42.456455 loss=2.506063 lr=0.087145 Epoch[075] Batch [3099]/[3759] Speed: 64.453672 samples/sec accuracy=42.466734 loss=2.506263 lr=0.087135 Epoch[075] Batch [3149]/[3759] Speed: 64.340719 samples/sec accuracy=42.450893 loss=2.506835 lr=0.087124 Epoch[075] Batch [3199]/[3759] Speed: 64.316938 samples/sec accuracy=42.477539 loss=2.506375 lr=0.087113 Epoch[075] Batch [3249]/[3759] Speed: 63.961328 samples/sec accuracy=42.459615 loss=2.507571 lr=0.087102 Epoch[075] Batch [3299]/[3759] Speed: 64.430770 samples/sec accuracy=42.457386 loss=2.508435 lr=0.087091 Epoch[075] Batch [3349]/[3759] Speed: 64.193969 samples/sec accuracy=42.453358 loss=2.508234 lr=0.087080 Epoch[075] Batch [3399]/[3759] Speed: 64.269466 samples/sec accuracy=42.447610 loss=2.508449 lr=0.087070 Epoch[075] Batch [3449]/[3759] Speed: 64.560961 samples/sec accuracy=42.421649 loss=2.509168 lr=0.087059 Epoch[075] Batch [3499]/[3759] Speed: 64.166024 samples/sec accuracy=42.399107 loss=2.510407 lr=0.087048 Epoch[075] Batch [3549]/[3759] Speed: 64.716813 samples/sec accuracy=42.415493 loss=2.510172 lr=0.087037 Epoch[075] Batch [3599]/[3759] Speed: 64.970298 samples/sec accuracy=42.412326 loss=2.510881 lr=0.087026 Epoch[075] Batch [3649]/[3759] Speed: 63.711697 samples/sec accuracy=42.398545 loss=2.511248 lr=0.087015 Epoch[075] Batch [3699]/[3759] Speed: 64.598252 samples/sec accuracy=42.373311 loss=2.512369 lr=0.087004 Epoch[075] Batch [3749]/[3759] Speed: 67.219381 samples/sec accuracy=42.366667 loss=2.512520 lr=0.086993 Batch [0049]/[0303]: acc-top1=42.218750 acc-top5=69.281250 Batch [0099]/[0303]: acc-top1=42.046875 acc-top5=69.406250 Batch [0149]/[0303]: acc-top1=42.343750 acc-top5=69.406250 Batch [0199]/[0303]: acc-top1=42.281250 acc-top5=69.414062 Batch [0249]/[0303]: acc-top1=42.387500 acc-top5=69.606250 Batch [0299]/[0303]: acc-top1=42.390625 acc-top5=69.598958 [Epoch 075] training: accuracy=42.368316 loss=2.512385 [Epoch 075] speed: 63 samples/sec time cost: 4051.549433 [Epoch 075] validation: acc-top1=42.476279 acc-top5=69.636964 loss=2.758006 Epoch[076] Batch [0049]/[3760] Speed: 42.243075 samples/sec accuracy=42.968750 loss=2.504864 lr=0.086981 Epoch[076] Batch [0099]/[3760] Speed: 63.323520 samples/sec accuracy=42.859375 loss=2.514510 lr=0.086970 Epoch[076] Batch [0149]/[3760] Speed: 63.799687 samples/sec accuracy=42.812500 loss=2.520976 lr=0.086959 Epoch[076] Batch [0199]/[3760] Speed: 64.107732 samples/sec accuracy=42.953125 loss=2.509162 lr=0.086948 Epoch[076] Batch [0249]/[3760] Speed: 64.011074 samples/sec accuracy=43.100000 loss=2.495574 lr=0.086937 Epoch[076] Batch [0299]/[3760] Speed: 64.994850 samples/sec accuracy=43.234375 loss=2.487918 lr=0.086926 Epoch[076] Batch [0349]/[3760] Speed: 64.568142 samples/sec accuracy=43.339286 loss=2.480658 lr=0.086915 Epoch[076] Batch [0399]/[3760] Speed: 64.148082 samples/sec accuracy=43.289062 loss=2.480667 lr=0.086905 Epoch[076] Batch [0449]/[3760] Speed: 64.422234 samples/sec accuracy=43.326389 loss=2.479985 lr=0.086894 Epoch[076] Batch [0499]/[3760] Speed: 64.832442 samples/sec accuracy=43.337500 loss=2.477469 lr=0.086883 Epoch[076] Batch [0549]/[3760] Speed: 63.754734 samples/sec accuracy=43.278409 loss=2.472553 lr=0.086872 Epoch[076] Batch [0599]/[3760] Speed: 64.936443 samples/sec accuracy=43.208333 loss=2.472125 lr=0.086861 Epoch[076] Batch [0649]/[3760] Speed: 63.910714 samples/sec accuracy=43.105769 loss=2.476625 lr=0.086850 Epoch[076] Batch [0699]/[3760] Speed: 64.810506 samples/sec accuracy=43.040179 loss=2.477637 lr=0.086839 Epoch[076] Batch [0749]/[3760] Speed: 64.799679 samples/sec accuracy=42.981250 loss=2.479938 lr=0.086828 Epoch[076] Batch [0799]/[3760] Speed: 63.669642 samples/sec accuracy=42.894531 loss=2.481276 lr=0.086817 Epoch[076] Batch [0849]/[3760] Speed: 64.586839 samples/sec accuracy=42.832721 loss=2.484947 lr=0.086806 Epoch[076] Batch [0899]/[3760] Speed: 64.469717 samples/sec accuracy=42.866319 loss=2.487428 lr=0.086796 Epoch[076] Batch [0949]/[3760] Speed: 64.471360 samples/sec accuracy=42.856908 loss=2.486490 lr=0.086785 Epoch[076] Batch [0999]/[3760] Speed: 64.704679 samples/sec accuracy=42.900000 loss=2.485485 lr=0.086774 Epoch[076] Batch [1049]/[3760] Speed: 63.771766 samples/sec accuracy=42.918155 loss=2.485897 lr=0.086763 Epoch[076] Batch [1099]/[3760] Speed: 64.830835 samples/sec accuracy=42.928977 loss=2.486353 lr=0.086752 Epoch[076] Batch [1149]/[3760] Speed: 64.969172 samples/sec accuracy=42.907609 loss=2.488435 lr=0.086741 Epoch[076] Batch [1199]/[3760] Speed: 64.076635 samples/sec accuracy=42.777344 loss=2.494575 lr=0.086730 Epoch[076] Batch [1249]/[3760] Speed: 64.348296 samples/sec accuracy=42.837500 loss=2.492405 lr=0.086719 Epoch[076] Batch [1299]/[3760] Speed: 64.719759 samples/sec accuracy=42.834135 loss=2.491148 lr=0.086708 Epoch[076] Batch [1349]/[3760] Speed: 64.162851 samples/sec accuracy=42.812500 loss=2.491227 lr=0.086697 Epoch[076] Batch [1399]/[3760] Speed: 64.406988 samples/sec accuracy=42.852679 loss=2.491205 lr=0.086686 Epoch[076] Batch [1449]/[3760] Speed: 64.238339 samples/sec accuracy=42.799569 loss=2.493830 lr=0.086676 Epoch[076] Batch [1499]/[3760] Speed: 64.991980 samples/sec accuracy=42.768750 loss=2.494640 lr=0.086665 Epoch[076] Batch [1549]/[3760] Speed: 64.566152 samples/sec accuracy=42.751008 loss=2.495655 lr=0.086654 Epoch[076] Batch [1599]/[3760] Speed: 63.847008 samples/sec accuracy=42.754883 loss=2.495442 lr=0.086643 Epoch[076] Batch [1649]/[3760] Speed: 64.486736 samples/sec accuracy=42.729167 loss=2.496711 lr=0.086632 Epoch[076] Batch [1699]/[3760] Speed: 64.815367 samples/sec accuracy=42.705882 loss=2.497020 lr=0.086621 Epoch[076] Batch [1749]/[3760] Speed: 64.205593 samples/sec accuracy=42.709821 loss=2.497504 lr=0.086610 Epoch[076] Batch [1799]/[3760] Speed: 64.076316 samples/sec accuracy=42.703125 loss=2.497323 lr=0.086599 Epoch[076] Batch [1849]/[3760] Speed: 65.168204 samples/sec accuracy=42.695101 loss=2.497395 lr=0.086588 Epoch[076] Batch [1899]/[3760] Speed: 63.662142 samples/sec accuracy=42.672697 loss=2.497925 lr=0.086577 Epoch[076] Batch [1949]/[3760] Speed: 64.701126 samples/sec accuracy=42.689103 loss=2.496828 lr=0.086566 Epoch[076] Batch [1999]/[3760] Speed: 63.878514 samples/sec accuracy=42.646094 loss=2.498311 lr=0.086555 Epoch[076] Batch [2049]/[3760] Speed: 64.808542 samples/sec accuracy=42.653201 loss=2.499007 lr=0.086544 Epoch[076] Batch [2099]/[3760] Speed: 64.596064 samples/sec accuracy=42.664435 loss=2.498889 lr=0.086533 Epoch[076] Batch [2149]/[3760] Speed: 63.814964 samples/sec accuracy=42.656977 loss=2.497979 lr=0.086522 Epoch[076] Batch [2199]/[3760] Speed: 64.430741 samples/sec accuracy=42.669744 loss=2.497428 lr=0.086511 Epoch[076] Batch [2249]/[3760] Speed: 64.431785 samples/sec accuracy=42.670833 loss=2.496853 lr=0.086501 Epoch[076] Batch [2299]/[3760] Speed: 64.478319 samples/sec accuracy=42.663043 loss=2.498180 lr=0.086490 Epoch[076] Batch [2349]/[3760] Speed: 64.595749 samples/sec accuracy=42.633644 loss=2.498760 lr=0.086479 Epoch[076] Batch [2399]/[3760] Speed: 64.175266 samples/sec accuracy=42.631510 loss=2.498691 lr=0.086468 Epoch[076] Batch [2449]/[3760] Speed: 64.894834 samples/sec accuracy=42.649235 loss=2.498037 lr=0.086457 Epoch[076] Batch [2499]/[3760] Speed: 64.892683 samples/sec accuracy=42.661875 loss=2.497478 lr=0.086446 Epoch[076] Batch [2549]/[3760] Speed: 64.345601 samples/sec accuracy=42.661765 loss=2.497124 lr=0.086435 Epoch[076] Batch [2599]/[3760] Speed: 64.740459 samples/sec accuracy=42.645433 loss=2.497369 lr=0.086424 Epoch[076] Batch [2649]/[3760] Speed: 64.503849 samples/sec accuracy=42.614976 loss=2.498337 lr=0.086413 Epoch[076] Batch [2699]/[3760] Speed: 64.234492 samples/sec accuracy=42.625579 loss=2.497523 lr=0.086402 Epoch[076] Batch [2749]/[3760] Speed: 64.481404 samples/sec accuracy=42.610227 loss=2.497948 lr=0.086391 Epoch[076] Batch [2799]/[3760] Speed: 63.630999 samples/sec accuracy=42.593192 loss=2.498888 lr=0.086380 Epoch[076] Batch [2849]/[3760] Speed: 64.887335 samples/sec accuracy=42.581140 loss=2.499416 lr=0.086369 Epoch[076] Batch [2899]/[3760] Speed: 64.313402 samples/sec accuracy=42.580280 loss=2.499578 lr=0.086358 Epoch[076] Batch [2949]/[3760] Speed: 64.342884 samples/sec accuracy=42.579979 loss=2.499513 lr=0.086347 Epoch[076] Batch [2999]/[3760] Speed: 64.488363 samples/sec accuracy=42.569792 loss=2.500059 lr=0.086336 Epoch[076] Batch [3049]/[3760] Speed: 64.387432 samples/sec accuracy=42.565061 loss=2.500344 lr=0.086325 Epoch[076] Batch [3099]/[3760] Speed: 64.359424 samples/sec accuracy=42.567540 loss=2.500428 lr=0.086314 Epoch[076] Batch [3149]/[3760] Speed: 64.535714 samples/sec accuracy=42.562996 loss=2.500959 lr=0.086303 Epoch[076] Batch [3199]/[3760] Speed: 64.540146 samples/sec accuracy=42.560547 loss=2.501742 lr=0.086292 Epoch[076] Batch [3249]/[3760] Speed: 64.337373 samples/sec accuracy=42.549038 loss=2.502245 lr=0.086281 Epoch[076] Batch [3299]/[3760] Speed: 64.542489 samples/sec accuracy=42.547822 loss=2.502230 lr=0.086270 Epoch[076] Batch [3349]/[3760] Speed: 63.806584 samples/sec accuracy=42.554571 loss=2.501851 lr=0.086259 Epoch[076] Batch [3399]/[3760] Speed: 64.664324 samples/sec accuracy=42.547335 loss=2.502718 lr=0.086248 Epoch[076] Batch [3449]/[3760] Speed: 64.603448 samples/sec accuracy=42.524004 loss=2.503381 lr=0.086237 Epoch[076] Batch [3499]/[3760] Speed: 64.410662 samples/sec accuracy=42.538393 loss=2.503916 lr=0.086226 Epoch[076] Batch [3549]/[3760] Speed: 64.479107 samples/sec accuracy=42.537412 loss=2.504062 lr=0.086215 Epoch[076] Batch [3599]/[3760] Speed: 64.983749 samples/sec accuracy=42.539931 loss=2.504548 lr=0.086204 Epoch[076] Batch [3649]/[3760] Speed: 64.018307 samples/sec accuracy=42.531250 loss=2.504963 lr=0.086193 Epoch[076] Batch [3699]/[3760] Speed: 64.726682 samples/sec accuracy=42.527027 loss=2.505581 lr=0.086182 Epoch[076] Batch [3749]/[3760] Speed: 67.898392 samples/sec accuracy=42.537917 loss=2.505288 lr=0.086171 Batch [0049]/[0303]: acc-top1=42.656250 acc-top5=68.312500 Batch [0099]/[0303]: acc-top1=42.437500 acc-top5=69.406250 Batch [0149]/[0303]: acc-top1=42.458333 acc-top5=69.197917 Batch [0199]/[0303]: acc-top1=42.343750 acc-top5=69.195312 Batch [0249]/[0303]: acc-top1=42.662500 acc-top5=69.512500 Batch [0299]/[0303]: acc-top1=42.557292 acc-top5=69.421875 [Epoch 076] training: accuracy=42.533660 loss=2.505825 [Epoch 076] speed: 64 samples/sec time cost: 4045.924692 [Epoch 076] validation: acc-top1=42.584571 acc-top5=69.482261 loss=2.623983 Epoch[077] Batch [0049]/[3760] Speed: 42.852702 samples/sec accuracy=43.312500 loss=2.522606 lr=0.086158 Epoch[077] Batch [0099]/[3760] Speed: 63.250716 samples/sec accuracy=42.984375 loss=2.493919 lr=0.086147 Epoch[077] Batch [0149]/[3760] Speed: 63.757023 samples/sec accuracy=43.354167 loss=2.483619 lr=0.086136 Epoch[077] Batch [0199]/[3760] Speed: 64.298553 samples/sec accuracy=42.929688 loss=2.484210 lr=0.086125 Epoch[077] Batch [0249]/[3760] Speed: 63.871883 samples/sec accuracy=43.243750 loss=2.484282 lr=0.086114 Epoch[077] Batch [0299]/[3760] Speed: 64.754831 samples/sec accuracy=43.317708 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accuracy=42.878750 loss=2.501357 lr=0.085893 Epoch[077] Batch [1299]/[3760] Speed: 64.243240 samples/sec accuracy=42.887019 loss=2.502849 lr=0.085882 Epoch[077] Batch [1349]/[3760] Speed: 64.204444 samples/sec accuracy=42.847222 loss=2.504153 lr=0.085871 Epoch[077] Batch [1399]/[3760] Speed: 64.495308 samples/sec accuracy=42.844866 loss=2.503133 lr=0.085860 Epoch[077] Batch [1449]/[3760] Speed: 64.643641 samples/sec accuracy=42.801724 loss=2.504623 lr=0.085849 Epoch[077] Batch [1499]/[3760] Speed: 63.945979 samples/sec accuracy=42.858333 loss=2.502512 lr=0.085838 Epoch[077] Batch [1549]/[3760] Speed: 64.546045 samples/sec accuracy=42.851815 loss=2.502801 lr=0.085827 Epoch[077] Batch [1599]/[3760] Speed: 63.994731 samples/sec accuracy=42.800781 loss=2.504271 lr=0.085816 Epoch[077] Batch [1649]/[3760] Speed: 64.664352 samples/sec accuracy=42.770833 loss=2.504046 lr=0.085805 Epoch[077] Batch [1699]/[3760] Speed: 64.550384 samples/sec accuracy=42.783088 loss=2.503589 lr=0.085793 Epoch[077] 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accuracy=42.821023 loss=2.499800 lr=0.085683 Epoch[077] Batch [2249]/[3760] Speed: 64.981805 samples/sec accuracy=42.809028 loss=2.499641 lr=0.085672 Epoch[077] Batch [2299]/[3760] Speed: 63.697654 samples/sec accuracy=42.802989 loss=2.500346 lr=0.085660 Epoch[077] Batch [2349]/[3760] Speed: 64.268021 samples/sec accuracy=42.795878 loss=2.500748 lr=0.085649 Epoch[077] Batch [2399]/[3760] Speed: 64.569024 samples/sec accuracy=42.787109 loss=2.499872 lr=0.085638 Epoch[077] Batch [2449]/[3760] Speed: 64.063749 samples/sec accuracy=42.788903 loss=2.499940 lr=0.085627 Epoch[077] Batch [2499]/[3760] Speed: 64.598082 samples/sec accuracy=42.792500 loss=2.500872 lr=0.085616 Epoch[077] Batch [2549]/[3760] Speed: 63.641598 samples/sec accuracy=42.783088 loss=2.501866 lr=0.085605 Epoch[077] Batch [2599]/[3760] Speed: 64.909877 samples/sec accuracy=42.783654 loss=2.501755 lr=0.085594 Epoch[077] Batch [2649]/[3760] Speed: 64.151613 samples/sec accuracy=42.780071 loss=2.502279 lr=0.085583 Epoch[077] 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accuracy=42.686508 loss=2.506176 lr=0.085472 Epoch[077] Batch [3199]/[3760] Speed: 64.915736 samples/sec accuracy=42.697754 loss=2.505941 lr=0.085461 Epoch[077] Batch [3249]/[3760] Speed: 63.613904 samples/sec accuracy=42.674038 loss=2.505976 lr=0.085449 Epoch[077] Batch [3299]/[3760] Speed: 64.042458 samples/sec accuracy=42.676610 loss=2.505876 lr=0.085438 Epoch[077] Batch [3349]/[3760] Speed: 64.537472 samples/sec accuracy=42.680504 loss=2.505874 lr=0.085427 Epoch[077] Batch [3399]/[3760] Speed: 64.209835 samples/sec accuracy=42.668658 loss=2.506093 lr=0.085416 Epoch[077] Batch [3449]/[3760] Speed: 63.988659 samples/sec accuracy=42.675725 loss=2.505722 lr=0.085405 Epoch[077] Batch [3499]/[3760] Speed: 64.414374 samples/sec accuracy=42.690625 loss=2.504958 lr=0.085394 Epoch[077] Batch [3549]/[3760] Speed: 64.110109 samples/sec accuracy=42.685299 loss=2.504812 lr=0.085383 Epoch[077] Batch [3599]/[3760] Speed: 64.551081 samples/sec accuracy=42.717882 loss=2.503757 lr=0.085371 Epoch[077] Batch [3649]/[3760] Speed: 63.243325 samples/sec accuracy=42.723887 loss=2.502901 lr=0.085360 Epoch[077] Batch [3699]/[3760] Speed: 64.591999 samples/sec accuracy=42.713260 loss=2.503470 lr=0.085349 Epoch[077] Batch [3749]/[3760] Speed: 67.682992 samples/sec accuracy=42.697500 loss=2.503195 lr=0.085338 Batch [0049]/[0303]: acc-top1=43.562500 acc-top5=69.500000 Batch [0099]/[0303]: acc-top1=43.234375 acc-top5=69.265625 Batch [0149]/[0303]: acc-top1=43.031250 acc-top5=69.291667 Batch [0199]/[0303]: acc-top1=42.773438 acc-top5=69.218750 Batch [0249]/[0303]: acc-top1=42.943750 acc-top5=69.593750 Batch [0299]/[0303]: acc-top1=42.994792 acc-top5=69.536458 [Epoch 077] training: accuracy=42.701130 loss=2.503365 [Epoch 077] speed: 63 samples/sec time cost: 4050.305763 [Epoch 077] validation: acc-top1=43.017739 acc-top5=69.544142 loss=2.645836 Epoch[078] Batch [0049]/[3759] Speed: 42.519387 samples/sec accuracy=42.875000 loss=2.498532 lr=0.085325 Epoch[078] Batch [0099]/[3759] Speed: 62.452534 samples/sec accuracy=43.484375 loss=2.461730 lr=0.085313 Epoch[078] Batch [0149]/[3759] Speed: 63.670092 samples/sec accuracy=43.395833 loss=2.446877 lr=0.085302 Epoch[078] Batch [0199]/[3759] Speed: 64.633565 samples/sec accuracy=43.257812 loss=2.445792 lr=0.085291 Epoch[078] Batch [0249]/[3759] Speed: 64.574428 samples/sec accuracy=43.525000 loss=2.445960 lr=0.085280 Epoch[078] Batch [0299]/[3759] Speed: 63.492875 samples/sec accuracy=43.598958 loss=2.443773 lr=0.085269 Epoch[078] Batch [0349]/[3759] Speed: 64.499667 samples/sec accuracy=43.633929 loss=2.445336 lr=0.085258 Epoch[078] Batch [0399]/[3759] Speed: 64.610763 samples/sec accuracy=43.421875 loss=2.451258 lr=0.085247 Epoch[078] Batch [0449]/[3759] Speed: 63.650626 samples/sec accuracy=43.295139 loss=2.457697 lr=0.085235 Epoch[078] Batch [0499]/[3759] Speed: 64.542919 samples/sec accuracy=43.250000 loss=2.462676 lr=0.085224 Epoch[078] Batch [0549]/[3759] Speed: 63.737583 samples/sec accuracy=43.207386 loss=2.463047 lr=0.085213 Epoch[078] Batch [0599]/[3759] Speed: 64.355182 samples/sec accuracy=43.250000 loss=2.462906 lr=0.085202 Epoch[078] Batch [0649]/[3759] Speed: 64.583892 samples/sec accuracy=43.274038 loss=2.465792 lr=0.085191 Epoch[078] Batch [0699]/[3759] Speed: 63.891806 samples/sec accuracy=43.299107 loss=2.463141 lr=0.085180 Epoch[078] Batch [0749]/[3759] Speed: 64.587536 samples/sec accuracy=43.281250 loss=2.463556 lr=0.085168 Epoch[078] Batch [0799]/[3759] Speed: 63.697803 samples/sec accuracy=43.226562 loss=2.467486 lr=0.085157 Epoch[078] Batch [0849]/[3759] Speed: 65.220931 samples/sec accuracy=43.257353 loss=2.465729 lr=0.085146 Epoch[078] Batch [0899]/[3759] Speed: 64.405253 samples/sec accuracy=43.253472 loss=2.466431 lr=0.085135 Epoch[078] Batch [0949]/[3759] Speed: 64.294104 samples/sec accuracy=43.251645 loss=2.467340 lr=0.085124 Epoch[078] Batch [0999]/[3759] Speed: 64.480738 samples/sec accuracy=43.178125 loss=2.469893 lr=0.085113 Epoch[078] Batch [1049]/[3759] Speed: 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lr=0.084574 Epoch[078] Batch [3449]/[3759] Speed: 64.096479 samples/sec accuracy=42.913496 loss=2.489941 lr=0.084562 Epoch[078] Batch [3499]/[3759] Speed: 64.564085 samples/sec accuracy=42.914732 loss=2.490490 lr=0.084551 Epoch[078] Batch [3549]/[3759] Speed: 64.323907 samples/sec accuracy=42.924736 loss=2.490999 lr=0.084540 Epoch[078] Batch [3599]/[3759] Speed: 64.057476 samples/sec accuracy=42.894531 loss=2.492065 lr=0.084529 Epoch[078] Batch [3649]/[3759] Speed: 64.432236 samples/sec accuracy=42.892979 loss=2.491838 lr=0.084517 Epoch[078] Batch [3699]/[3759] Speed: 63.953644 samples/sec accuracy=42.892736 loss=2.491500 lr=0.084506 Epoch[078] Batch [3749]/[3759] Speed: 68.269166 samples/sec accuracy=42.900000 loss=2.491655 lr=0.084495 Batch [0049]/[0303]: acc-top1=43.625000 acc-top5=70.437500 Batch [0099]/[0303]: acc-top1=43.171875 acc-top5=70.375000 Batch [0149]/[0303]: acc-top1=43.625000 acc-top5=70.562500 Batch [0199]/[0303]: acc-top1=43.484375 acc-top5=70.484375 Batch [0249]/[0303]: acc-top1=43.712500 acc-top5=70.862500 Batch [0299]/[0303]: acc-top1=43.932292 acc-top5=70.927083 [Epoch 078] training: accuracy=42.908270 loss=2.491730 [Epoch 078] speed: 63 samples/sec time cost: 4050.430749 [Epoch 078] validation: acc-top1=43.945957 acc-top5=70.895215 loss=2.636998 Epoch[079] Batch [0049]/[3760] Speed: 42.082352 samples/sec accuracy=42.656250 loss=2.486401 lr=0.084482 Epoch[079] Batch [0099]/[3760] Speed: 62.720125 samples/sec accuracy=43.468750 loss=2.459289 lr=0.084470 Epoch[079] Batch [0149]/[3760] Speed: 64.347476 samples/sec accuracy=43.197917 loss=2.463584 lr=0.084459 Epoch[079] Batch [0199]/[3760] Speed: 62.805903 samples/sec accuracy=43.164062 loss=2.452754 lr=0.084448 Epoch[079] Batch [0249]/[3760] Speed: 65.546041 samples/sec accuracy=43.275000 loss=2.455981 lr=0.084436 Epoch[079] Batch [0299]/[3760] Speed: 64.033653 samples/sec accuracy=43.463542 loss=2.454193 lr=0.084425 Epoch[079] Batch [0349]/[3760] Speed: 64.230382 samples/sec accuracy=43.397321 loss=2.452211 lr=0.084414 Epoch[079] Batch [0399]/[3760] Speed: 65.086938 samples/sec accuracy=43.390625 loss=2.457437 lr=0.084403 Epoch[079] Batch [0449]/[3760] Speed: 64.226111 samples/sec accuracy=43.479167 loss=2.450485 lr=0.084391 Epoch[079] Batch [0499]/[3760] Speed: 64.404790 samples/sec accuracy=43.453125 loss=2.454298 lr=0.084380 Epoch[079] Batch [0549]/[3760] Speed: 63.891490 samples/sec accuracy=43.446023 loss=2.452283 lr=0.084369 Epoch[079] Batch [0599]/[3760] Speed: 64.538436 samples/sec accuracy=43.205729 loss=2.460424 lr=0.084357 Epoch[079] Batch [0649]/[3760] Speed: 64.552125 samples/sec accuracy=43.187500 loss=2.461052 lr=0.084346 Epoch[079] Batch [0699]/[3760] Speed: 64.856340 samples/sec accuracy=43.180804 loss=2.463194 lr=0.084335 Epoch[079] Batch [0749]/[3760] Speed: 64.167872 samples/sec accuracy=43.187500 loss=2.464671 lr=0.084323 Epoch[079] Batch [0799]/[3760] Speed: 64.335459 samples/sec accuracy=43.208984 loss=2.465746 lr=0.084312 Epoch[079] Batch [0849]/[3760] Speed: 64.745259 samples/sec accuracy=43.235294 loss=2.463704 lr=0.084301 Epoch[079] Batch [0899]/[3760] Speed: 64.072176 samples/sec accuracy=43.187500 loss=2.465107 lr=0.084290 Epoch[079] Batch [0949]/[3760] Speed: 64.662891 samples/sec accuracy=43.279605 loss=2.462201 lr=0.084278 Epoch[079] Batch [0999]/[3760] Speed: 64.300746 samples/sec accuracy=43.265625 loss=2.464155 lr=0.084267 Epoch[079] Batch [1049]/[3760] Speed: 64.150202 samples/sec accuracy=43.269345 loss=2.465212 lr=0.084256 Epoch[079] Batch [1099]/[3760] Speed: 64.686805 samples/sec accuracy=43.244318 loss=2.467744 lr=0.084244 Epoch[079] Batch [1149]/[3760] Speed: 64.117228 samples/sec accuracy=43.217391 loss=2.469554 lr=0.084233 Epoch[079] Batch [1199]/[3760] Speed: 64.426273 samples/sec accuracy=43.236979 loss=2.468333 lr=0.084222 Epoch[079] Batch [1249]/[3760] Speed: 64.015117 samples/sec accuracy=43.227500 loss=2.467970 lr=0.084210 Epoch[079] Batch [1299]/[3760] Speed: 64.950189 samples/sec accuracy=43.235577 loss=2.467122 lr=0.084199 Epoch[079] Batch [1349]/[3760] Speed: 64.840629 samples/sec accuracy=43.222222 loss=2.466815 lr=0.084188 Epoch[079] Batch [1399]/[3760] Speed: 63.938158 samples/sec accuracy=43.209821 loss=2.467408 lr=0.084176 Epoch[079] Batch [1449]/[3760] Speed: 64.708107 samples/sec accuracy=43.179957 loss=2.468779 lr=0.084165 Epoch[079] Batch [1499]/[3760] Speed: 64.438433 samples/sec accuracy=43.129167 loss=2.470897 lr=0.084154 Epoch[079] Batch [1549]/[3760] Speed: 64.632901 samples/sec accuracy=43.153226 loss=2.469558 lr=0.084142 Epoch[079] Batch [1599]/[3760] Speed: 64.572856 samples/sec accuracy=43.105469 loss=2.470440 lr=0.084131 Epoch[079] Batch [1649]/[3760] Speed: 63.289786 samples/sec accuracy=43.111742 loss=2.469795 lr=0.084120 Epoch[079] Batch [1699]/[3760] Speed: 65.264826 samples/sec accuracy=43.104779 loss=2.470660 lr=0.084108 Epoch[079] Batch [1749]/[3760] Speed: 64.432584 samples/sec accuracy=43.089286 loss=2.471824 lr=0.084097 Epoch[079] Batch [1799]/[3760] Speed: 64.664986 samples/sec accuracy=43.124132 loss=2.472699 lr=0.084086 Epoch[079] Batch [1849]/[3760] Speed: 64.752004 samples/sec accuracy=43.122466 loss=2.473322 lr=0.084074 Epoch[079] Batch [1899]/[3760] Speed: 64.616102 samples/sec accuracy=43.177632 loss=2.472203 lr=0.084063 Epoch[079] Batch [1949]/[3760] Speed: 63.865098 samples/sec accuracy=43.188301 loss=2.472010 lr=0.084052 Epoch[079] Batch [1999]/[3760] Speed: 64.811385 samples/sec accuracy=43.194531 loss=2.471454 lr=0.084040 Epoch[079] Batch [2049]/[3760] Speed: 63.902234 samples/sec accuracy=43.212652 loss=2.470287 lr=0.084029 Epoch[079] Batch [2099]/[3760] Speed: 65.187601 samples/sec accuracy=43.218006 loss=2.470165 lr=0.084018 Epoch[079] Batch [2149]/[3760] Speed: 64.475529 samples/sec accuracy=43.196221 loss=2.471131 lr=0.084006 Epoch[079] Batch [2199]/[3760] Speed: 64.424369 samples/sec accuracy=43.200284 loss=2.470667 lr=0.083995 Epoch[079] Batch [2249]/[3760] Speed: 64.559682 samples/sec accuracy=43.209722 loss=2.470672 lr=0.083984 Epoch[079] Batch [2299]/[3760] Speed: 64.766118 samples/sec accuracy=43.203804 loss=2.471681 lr=0.083972 Epoch[079] Batch [2349]/[3760] Speed: 64.532947 samples/sec accuracy=43.169548 loss=2.472853 lr=0.083961 Epoch[079] Batch [2399]/[3760] Speed: 65.037623 samples/sec accuracy=43.164062 loss=2.473784 lr=0.083949 Epoch[079] Batch [2449]/[3760] Speed: 63.765384 samples/sec accuracy=43.173469 loss=2.473819 lr=0.083938 Epoch[079] Batch [2499]/[3760] Speed: 65.135881 samples/sec accuracy=43.165000 loss=2.474489 lr=0.083927 Epoch[079] Batch [2549]/[3760] Speed: 64.460915 samples/sec accuracy=43.182598 loss=2.474457 lr=0.083915 Epoch[079] Batch [2599]/[3760] Speed: 64.295434 samples/sec accuracy=43.168269 loss=2.474662 lr=0.083904 Epoch[079] Batch [2649]/[3760] Speed: 64.896555 samples/sec accuracy=43.163915 loss=2.475623 lr=0.083893 Epoch[079] Batch [2699]/[3760] Speed: 64.512388 samples/sec accuracy=43.174190 loss=2.475098 lr=0.083881 Epoch[079] Batch [2749]/[3760] Speed: 64.004906 samples/sec accuracy=43.163636 loss=2.475515 lr=0.083870 Epoch[079] Batch [2799]/[3760] Speed: 64.493219 samples/sec accuracy=43.146763 loss=2.476051 lr=0.083858 Epoch[079] Batch [2849]/[3760] Speed: 63.796205 samples/sec accuracy=43.172697 loss=2.474918 lr=0.083847 Epoch[079] Batch [2899]/[3760] Speed: 65.346606 samples/sec accuracy=43.170259 loss=2.474851 lr=0.083836 Epoch[079] Batch [2949]/[3760] Speed: 64.293630 samples/sec accuracy=43.177966 loss=2.474447 lr=0.083824 Epoch[079] Batch [2999]/[3760] Speed: 64.035382 samples/sec accuracy=43.169271 loss=2.473695 lr=0.083813 Epoch[079] Batch [3049]/[3760] Speed: 64.626745 samples/sec accuracy=43.166496 loss=2.474402 lr=0.083802 Epoch[079] Batch [3099]/[3760] Speed: 64.512614 samples/sec accuracy=43.136593 loss=2.475660 lr=0.083790 Epoch[079] Batch [3149]/[3760] Speed: 64.187169 samples/sec accuracy=43.135913 loss=2.475998 lr=0.083779 Epoch[079] Batch [3199]/[3760] Speed: 64.379606 samples/sec accuracy=43.138184 loss=2.476101 lr=0.083767 Epoch[079] Batch [3249]/[3760] Speed: 63.646113 samples/sec accuracy=43.135096 loss=2.476482 lr=0.083756 Epoch[079] Batch [3299]/[3760] Speed: 65.045812 samples/sec accuracy=43.127367 loss=2.477016 lr=0.083745 Epoch[079] Batch [3349]/[3760] Speed: 64.843885 samples/sec accuracy=43.118937 loss=2.477335 lr=0.083733 Epoch[079] Batch [3399]/[3760] Speed: 63.623609 samples/sec accuracy=43.120864 loss=2.477934 lr=0.083722 Epoch[079] Batch [3449]/[3760] Speed: 64.883430 samples/sec accuracy=43.122736 loss=2.477662 lr=0.083710 Epoch[079] Batch [3499]/[3760] Speed: 64.198635 samples/sec accuracy=43.089286 loss=2.478722 lr=0.083699 Epoch[079] Batch [3549]/[3760] Speed: 64.409650 samples/sec accuracy=43.058979 loss=2.479681 lr=0.083688 Epoch[079] Batch [3599]/[3760] Speed: 64.352981 samples/sec accuracy=43.051215 loss=2.480909 lr=0.083676 Epoch[079] Batch [3649]/[3760] Speed: 64.008010 samples/sec accuracy=43.062928 loss=2.481117 lr=0.083665 Epoch[079] Batch [3699]/[3760] Speed: 64.712277 samples/sec accuracy=43.044764 loss=2.481727 lr=0.083653 Epoch[079] Batch [3749]/[3760] Speed: 67.583423 samples/sec accuracy=43.057917 loss=2.481481 lr=0.083642 Batch [0049]/[0303]: acc-top1=42.968750 acc-top5=68.656250 Batch [0099]/[0303]: acc-top1=42.406250 acc-top5=69.093750 Batch [0149]/[0303]: acc-top1=42.239583 acc-top5=68.854167 Batch [0199]/[0303]: acc-top1=42.234375 acc-top5=69.156250 Batch [0249]/[0303]: acc-top1=42.606250 acc-top5=69.268750 Batch [0299]/[0303]: acc-top1=42.671875 acc-top5=69.343750 [Epoch 079] training: accuracy=43.049368 loss=2.481813 [Epoch 079] speed: 64 samples/sec time cost: 4046.091669 [Epoch 079] validation: acc-top1=42.667079 acc-top5=69.306931 loss=2.664732 Epoch[080] Batch [0049]/[3760] Speed: 42.786209 samples/sec accuracy=43.375000 loss=2.470367 lr=0.083628 Epoch[080] Batch [0099]/[3760] Speed: 63.719294 samples/sec accuracy=43.296875 loss=2.452697 lr=0.083617 Epoch[080] Batch [0149]/[3760] Speed: 64.562576 samples/sec accuracy=43.354167 loss=2.454928 lr=0.083606 Epoch[080] Batch [0199]/[3760] Speed: 63.970372 samples/sec accuracy=43.390625 loss=2.456449 lr=0.083594 Epoch[080] Batch [0249]/[3760] Speed: 64.285695 samples/sec accuracy=43.150000 loss=2.469754 lr=0.083583 Epoch[080] Batch [0299]/[3760] Speed: 63.897110 samples/sec accuracy=43.270833 loss=2.464697 lr=0.083571 Epoch[080] Batch [0349]/[3760] Speed: 65.511064 samples/sec accuracy=43.357143 loss=2.465997 lr=0.083560 Epoch[080] Batch [0399]/[3760] Speed: 64.420578 samples/sec accuracy=43.371094 loss=2.462018 lr=0.083548 Epoch[080] Batch [0449]/[3760] Speed: 63.370560 samples/sec accuracy=43.239583 loss=2.465032 lr=0.083537 Epoch[080] Batch [0499]/[3760] Speed: 64.862372 samples/sec accuracy=43.156250 loss=2.467812 lr=0.083526 Epoch[080] Batch [0549]/[3760] Speed: 64.231975 samples/sec accuracy=43.224432 loss=2.466403 lr=0.083514 Epoch[080] Batch [0599]/[3760] Speed: 64.111246 samples/sec accuracy=43.263021 loss=2.467520 lr=0.083503 Epoch[080] Batch [0649]/[3760] Speed: 64.539331 samples/sec accuracy=43.242788 loss=2.470305 lr=0.083491 Epoch[080] Batch [0699]/[3760] Speed: 64.455441 samples/sec accuracy=43.133929 loss=2.475873 lr=0.083480 Epoch[080] Batch [0749]/[3760] Speed: 64.204699 samples/sec accuracy=43.145833 loss=2.472769 lr=0.083468 Epoch[080] Batch [0799]/[3760] Speed: 64.595594 samples/sec accuracy=43.064453 loss=2.474655 lr=0.083457 Epoch[080] Batch [0849]/[3760] Speed: 64.297706 samples/sec accuracy=43.101103 loss=2.476236 lr=0.083446 Epoch[080] Batch [0899]/[3760] Speed: 64.420093 samples/sec accuracy=43.133681 loss=2.473823 lr=0.083434 Epoch[080] Batch [0949]/[3760] Speed: 64.407499 samples/sec accuracy=43.111842 loss=2.473733 lr=0.083423 Epoch[080] Batch [0999]/[3760] Speed: 63.753107 samples/sec accuracy=43.067187 loss=2.477225 lr=0.083411 Epoch[080] Batch [1049]/[3760] Speed: 64.798238 samples/sec accuracy=43.063988 loss=2.475372 lr=0.083400 Epoch[080] Batch [1099]/[3760] Speed: 64.739144 samples/sec accuracy=43.100852 loss=2.473069 lr=0.083388 Epoch[080] Batch [1149]/[3760] Speed: 63.873605 samples/sec accuracy=43.092391 loss=2.474891 lr=0.083377 Epoch[080] Batch [1199]/[3760] Speed: 64.978611 samples/sec accuracy=43.109375 loss=2.475798 lr=0.083366 Epoch[080] Batch [1249]/[3760] Speed: 64.392242 samples/sec accuracy=43.111250 loss=2.476976 lr=0.083354 Epoch[080] Batch [1299]/[3760] Speed: 64.298549 samples/sec accuracy=43.150240 loss=2.476601 lr=0.083343 Epoch[080] Batch [1349]/[3760] Speed: 64.745669 samples/sec accuracy=43.195602 loss=2.475039 lr=0.083331 Epoch[080] Batch [1399]/[3760] Speed: 64.602375 samples/sec accuracy=43.190848 loss=2.474013 lr=0.083320 Epoch[080] Batch [1449]/[3760] Speed: 64.067380 samples/sec accuracy=43.182112 loss=2.472543 lr=0.083308 Epoch[080] Batch [1499]/[3760] Speed: 64.227142 samples/sec accuracy=43.088542 loss=2.475876 lr=0.083297 Epoch[080] Batch [1549]/[3760] Speed: 64.749696 samples/sec accuracy=43.059476 loss=2.476841 lr=0.083285 Epoch[080] Batch [1599]/[3760] Speed: 64.257365 samples/sec accuracy=43.059570 loss=2.475717 lr=0.083274 Epoch[080] Batch [1649]/[3760] Speed: 64.293234 samples/sec accuracy=43.071023 loss=2.476108 lr=0.083262 Epoch[080] Batch [1699]/[3760] Speed: 64.742223 samples/sec accuracy=43.074449 loss=2.475797 lr=0.083251 Epoch[080] Batch [1749]/[3760] Speed: 64.667989 samples/sec accuracy=43.064286 loss=2.476155 lr=0.083239 Epoch[080] Batch [1799]/[3760] Speed: 64.574311 samples/sec accuracy=43.023438 loss=2.478749 lr=0.083228 Epoch[080] Batch [1849]/[3760] Speed: 63.511089 samples/sec accuracy=42.998311 loss=2.478676 lr=0.083217 Epoch[080] Batch [1899]/[3760] Speed: 65.281765 samples/sec accuracy=42.990132 loss=2.478501 lr=0.083205 Epoch[080] Batch [1949]/[3760] Speed: 64.892159 samples/sec accuracy=42.988782 loss=2.478753 lr=0.083194 Epoch[080] Batch [1999]/[3760] Speed: 63.640520 samples/sec accuracy=42.985156 loss=2.479507 lr=0.083182 Epoch[080] Batch [2049]/[3760] Speed: 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lr=0.083067 Epoch[080] Batch [2549]/[3760] Speed: 63.456393 samples/sec accuracy=42.989583 loss=2.480774 lr=0.083056 Epoch[080] Batch [2599]/[3760] Speed: 65.115276 samples/sec accuracy=42.990986 loss=2.480348 lr=0.083044 Epoch[080] Batch [2649]/[3760] Speed: 64.207833 samples/sec accuracy=43.008844 loss=2.479832 lr=0.083033 Epoch[080] Batch [2699]/[3760] Speed: 64.062441 samples/sec accuracy=42.993634 loss=2.480727 lr=0.083021 Epoch[080] Batch [2749]/[3760] Speed: 64.530562 samples/sec accuracy=43.007386 loss=2.480445 lr=0.083010 Epoch[080] Batch [2799]/[3760] Speed: 64.372494 samples/sec accuracy=43.008929 loss=2.480508 lr=0.082998 Epoch[080] Batch [2849]/[3760] Speed: 64.080951 samples/sec accuracy=42.995614 loss=2.481752 lr=0.082987 Epoch[080] Batch [2899]/[3760] Speed: 64.566290 samples/sec accuracy=43.003233 loss=2.481860 lr=0.082975 Epoch[080] Batch [2949]/[3760] Speed: 64.527690 samples/sec accuracy=42.994703 loss=2.482301 lr=0.082964 Epoch[080] Batch [2999]/[3760] Speed: 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lr=0.082849 Epoch[080] Batch [3499]/[3760] Speed: 64.384035 samples/sec accuracy=43.039732 loss=2.481448 lr=0.082837 Epoch[080] Batch [3549]/[3760] Speed: 63.992435 samples/sec accuracy=43.019806 loss=2.482103 lr=0.082826 Epoch[080] Batch [3599]/[3760] Speed: 64.680097 samples/sec accuracy=43.023003 loss=2.482193 lr=0.082814 Epoch[080] Batch [3649]/[3760] Speed: 64.232973 samples/sec accuracy=43.029110 loss=2.482302 lr=0.082803 Epoch[080] Batch [3699]/[3760] Speed: 64.194378 samples/sec accuracy=43.048986 loss=2.481793 lr=0.082791 Epoch[080] Batch [3749]/[3760] Speed: 68.079347 samples/sec accuracy=43.030417 loss=2.482725 lr=0.082779 Batch [0049]/[0303]: acc-top1=43.062500 acc-top5=69.437500 Batch [0099]/[0303]: acc-top1=43.343750 acc-top5=70.062500 Batch [0149]/[0303]: acc-top1=42.875000 acc-top5=69.885417 Batch [0199]/[0303]: acc-top1=42.937500 acc-top5=69.929688 Batch [0249]/[0303]: acc-top1=43.181250 acc-top5=70.175000 Batch [0299]/[0303]: acc-top1=43.250000 acc-top5=70.250000 [Epoch 080] training: accuracy=43.029837 loss=2.482726 [Epoch 080] speed: 63 samples/sec time cost: 4046.197551 [Epoch 080] validation: acc-top1=43.285891 acc-top5=70.271246 loss=2.660444 Epoch[081] Batch [0049]/[3759] Speed: 43.209766 samples/sec accuracy=45.531250 loss=2.372730 lr=0.082766 Epoch[081] Batch [0099]/[3759] Speed: 63.380527 samples/sec accuracy=44.656250 loss=2.390283 lr=0.082754 Epoch[081] Batch [0149]/[3759] Speed: 64.134742 samples/sec accuracy=44.906250 loss=2.397374 lr=0.082743 Epoch[081] Batch [0199]/[3759] Speed: 63.502045 samples/sec accuracy=44.929688 loss=2.402427 lr=0.082731 Epoch[081] Batch [0249]/[3759] Speed: 64.910126 samples/sec accuracy=44.687500 loss=2.410920 lr=0.082719 Epoch[081] Batch [0299]/[3759] Speed: 63.592622 samples/sec accuracy=44.406250 loss=2.421866 lr=0.082708 Epoch[081] Batch [0349]/[3759] Speed: 63.979860 samples/sec accuracy=44.446429 loss=2.421919 lr=0.082696 Epoch[081] Batch [0399]/[3759] Speed: 64.178747 samples/sec accuracy=44.289062 loss=2.427524 lr=0.082685 Epoch[081] Batch [0449]/[3759] Speed: 64.922560 samples/sec accuracy=44.277778 loss=2.432356 lr=0.082673 Epoch[081] Batch [0499]/[3759] Speed: 64.026621 samples/sec accuracy=44.278125 loss=2.429978 lr=0.082662 Epoch[081] Batch [0549]/[3759] Speed: 64.410812 samples/sec accuracy=44.255682 loss=2.434909 lr=0.082650 Epoch[081] Batch [0599]/[3759] Speed: 64.361720 samples/sec accuracy=44.278646 loss=2.434857 lr=0.082639 Epoch[081] Batch [0649]/[3759] Speed: 64.713682 samples/sec accuracy=44.180288 loss=2.440005 lr=0.082627 Epoch[081] Batch [0699]/[3759] Speed: 63.782224 samples/sec accuracy=44.084821 loss=2.443222 lr=0.082616 Epoch[081] Batch [0749]/[3759] Speed: 64.200761 samples/sec accuracy=44.087500 loss=2.442882 lr=0.082604 Epoch[081] Batch [0799]/[3759] Speed: 64.093358 samples/sec accuracy=44.035156 loss=2.443740 lr=0.082592 Epoch[081] Batch [0849]/[3759] Speed: 64.521180 samples/sec accuracy=43.976103 loss=2.447350 lr=0.082581 Epoch[081] Batch [0899]/[3759] Speed: 63.780605 samples/sec accuracy=43.960069 loss=2.448629 lr=0.082569 Epoch[081] Batch [0949]/[3759] Speed: 64.856154 samples/sec accuracy=43.917763 loss=2.452070 lr=0.082558 Epoch[081] Batch [0999]/[3759] Speed: 63.295550 samples/sec accuracy=43.909375 loss=2.451890 lr=0.082546 Epoch[081] Batch [1049]/[3759] Speed: 64.603483 samples/sec accuracy=43.901786 loss=2.451598 lr=0.082535 Epoch[081] Batch [1099]/[3759] Speed: 64.532610 samples/sec accuracy=43.887784 loss=2.453370 lr=0.082523 Epoch[081] Batch [1149]/[3759] Speed: 64.392377 samples/sec accuracy=43.817935 loss=2.457529 lr=0.082511 Epoch[081] Batch [1199]/[3759] Speed: 64.455777 samples/sec accuracy=43.805990 loss=2.457029 lr=0.082500 Epoch[081] Batch [1249]/[3759] Speed: 64.714535 samples/sec accuracy=43.755000 loss=2.459791 lr=0.082488 Epoch[081] Batch [1299]/[3759] Speed: 64.164412 samples/sec accuracy=43.808894 loss=2.457921 lr=0.082477 Epoch[081] Batch [1349]/[3759] Speed: 64.750899 samples/sec accuracy=43.802083 loss=2.458472 lr=0.082465 Epoch[081] Batch [1399]/[3759] Speed: 64.691405 samples/sec accuracy=43.777902 loss=2.460689 lr=0.082454 Epoch[081] Batch [1449]/[3759] Speed: 64.023919 samples/sec accuracy=43.738147 loss=2.460796 lr=0.082442 Epoch[081] Batch [1499]/[3759] Speed: 64.960232 samples/sec accuracy=43.705208 loss=2.460648 lr=0.082430 Epoch[081] Batch [1549]/[3759] Speed: 63.784781 samples/sec accuracy=43.611895 loss=2.463001 lr=0.082419 Epoch[081] Batch [1599]/[3759] Speed: 64.830584 samples/sec accuracy=43.596680 loss=2.464041 lr=0.082407 Epoch[081] Batch [1649]/[3759] Speed: 64.577290 samples/sec accuracy=43.605114 loss=2.465466 lr=0.082396 Epoch[081] Batch [1699]/[3759] Speed: 63.729913 samples/sec accuracy=43.615809 loss=2.465687 lr=0.082384 Epoch[081] Batch [1749]/[3759] Speed: 64.174845 samples/sec accuracy=43.577679 loss=2.466180 lr=0.082373 Epoch[081] Batch [1799]/[3759] Speed: 64.513092 samples/sec accuracy=43.497396 loss=2.468420 lr=0.082361 Epoch[081] Batch [1849]/[3759] Speed: 63.971964 samples/sec accuracy=43.469595 loss=2.469082 lr=0.082349 Epoch[081] Batch [1899]/[3759] Speed: 64.263159 samples/sec accuracy=43.495066 loss=2.467458 lr=0.082338 Epoch[081] Batch [1949]/[3759] Speed: 63.534604 samples/sec accuracy=43.495994 loss=2.467702 lr=0.082326 Epoch[081] Batch [1999]/[3759] Speed: 65.013563 samples/sec accuracy=43.507031 loss=2.467203 lr=0.082315 Epoch[081] Batch [2049]/[3759] Speed: 64.546432 samples/sec accuracy=43.467988 loss=2.467883 lr=0.082303 Epoch[081] Batch [2099]/[3759] Speed: 64.175935 samples/sec accuracy=43.445685 loss=2.468074 lr=0.082291 Epoch[081] Batch [2149]/[3759] Speed: 64.360993 samples/sec accuracy=43.438227 loss=2.467910 lr=0.082280 Epoch[081] Batch [2199]/[3759] Speed: 64.261569 samples/sec accuracy=43.416903 loss=2.469901 lr=0.082268 Epoch[081] Batch [2249]/[3759] Speed: 63.913934 samples/sec accuracy=43.420833 loss=2.469865 lr=0.082257 Epoch[081] Batch [2299]/[3759] Speed: 64.543250 samples/sec accuracy=43.400815 loss=2.470350 lr=0.082245 Epoch[081] Batch [2349]/[3759] Speed: 64.280829 samples/sec accuracy=43.404920 loss=2.470572 lr=0.082233 Epoch[081] Batch [2399]/[3759] Speed: 63.520486 samples/sec accuracy=43.395182 loss=2.470832 lr=0.082222 Epoch[081] Batch [2449]/[3759] Speed: 64.471208 samples/sec accuracy=43.382015 loss=2.471351 lr=0.082210 Epoch[081] Batch [2499]/[3759] Speed: 63.986480 samples/sec accuracy=43.398750 loss=2.471327 lr=0.082199 Epoch[081] Batch [2549]/[3759] Speed: 64.857939 samples/sec accuracy=43.393995 loss=2.471435 lr=0.082187 Epoch[081] Batch [2599]/[3759] Speed: 64.574367 samples/sec accuracy=43.382212 loss=2.471056 lr=0.082175 Epoch[081] Batch [2649]/[3759] Speed: 63.761252 samples/sec accuracy=43.383844 loss=2.471059 lr=0.082164 Epoch[081] Batch [2699]/[3759] Speed: 64.612415 samples/sec accuracy=43.401620 loss=2.470830 lr=0.082152 Epoch[081] Batch [2749]/[3759] Speed: 64.325294 samples/sec accuracy=43.378977 loss=2.471868 lr=0.082140 Epoch[081] Batch [2799]/[3759] Speed: 64.325179 samples/sec accuracy=43.371094 loss=2.472255 lr=0.082129 Epoch[081] Batch [2849]/[3759] Speed: 64.712761 samples/sec accuracy=43.387061 loss=2.471566 lr=0.082117 Epoch[081] Batch [2899]/[3759] Speed: 64.297840 samples/sec accuracy=43.370690 loss=2.471232 lr=0.082106 Epoch[081] Batch [2949]/[3759] Speed: 64.391377 samples/sec accuracy=43.353284 loss=2.472052 lr=0.082094 Epoch[081] Batch [2999]/[3759] Speed: 64.939043 samples/sec accuracy=43.321875 loss=2.473082 lr=0.082082 Epoch[081] Batch [3049]/[3759] Speed: 64.104272 samples/sec accuracy=43.308402 loss=2.473448 lr=0.082071 Epoch[081] Batch [3099]/[3759] Speed: 64.754690 samples/sec accuracy=43.305948 loss=2.472625 lr=0.082059 Epoch[081] Batch [3149]/[3759] Speed: 64.846571 samples/sec accuracy=43.286210 loss=2.472396 lr=0.082047 Epoch[081] Batch [3199]/[3759] Speed: 63.899342 samples/sec accuracy=43.303711 loss=2.472206 lr=0.082036 Epoch[081] Batch [3249]/[3759] Speed: 64.939880 samples/sec accuracy=43.305769 loss=2.471993 lr=0.082024 Epoch[081] Batch [3299]/[3759] Speed: 64.217924 samples/sec accuracy=43.305398 loss=2.472169 lr=0.082012 Epoch[081] Batch [3349]/[3759] Speed: 64.126621 samples/sec accuracy=43.295243 loss=2.472500 lr=0.082001 Epoch[081] Batch [3399]/[3759] Speed: 64.297359 samples/sec accuracy=43.285846 loss=2.472629 lr=0.081989 Epoch[081] Batch [3449]/[3759] Speed: 63.877259 samples/sec accuracy=43.269475 loss=2.473209 lr=0.081978 Epoch[081] Batch [3499]/[3759] Speed: 65.142818 samples/sec accuracy=43.252232 loss=2.474002 lr=0.081966 Epoch[081] Batch [3549]/[3759] Speed: 64.514408 samples/sec accuracy=43.242077 loss=2.474735 lr=0.081954 Epoch[081] Batch [3599]/[3759] Speed: 63.992349 samples/sec accuracy=43.243924 loss=2.474721 lr=0.081943 Epoch[081] Batch [3649]/[3759] Speed: 64.317310 samples/sec accuracy=43.243151 loss=2.474109 lr=0.081931 Epoch[081] Batch [3699]/[3759] Speed: 64.985933 samples/sec accuracy=43.267314 loss=2.473179 lr=0.081919 Epoch[081] Batch [3749]/[3759] Speed: 67.394030 samples/sec accuracy=43.272917 loss=2.473345 lr=0.081908 Batch [0049]/[0303]: acc-top1=43.281250 acc-top5=69.906250 Batch [0099]/[0303]: acc-top1=43.906250 acc-top5=70.218750 Batch [0149]/[0303]: acc-top1=43.875000 acc-top5=69.989583 Batch [0199]/[0303]: acc-top1=43.843750 acc-top5=70.164062 Batch [0249]/[0303]: acc-top1=44.025000 acc-top5=70.512500 Batch [0299]/[0303]: acc-top1=43.848958 acc-top5=70.489583 [Epoch 081] training: accuracy=43.273228 loss=2.473151 [Epoch 081] speed: 63 samples/sec time cost: 4045.939317 [Epoch 081] validation: acc-top1=43.837665 acc-top5=70.503300 loss=2.680925 Epoch[082] Batch [0049]/[3760] Speed: 42.590836 samples/sec accuracy=45.187500 loss=2.379266 lr=0.081894 Epoch[082] Batch [0099]/[3760] Speed: 62.561046 samples/sec accuracy=44.828125 loss=2.394854 lr=0.081882 Epoch[082] Batch [0149]/[3760] Speed: 65.296340 samples/sec accuracy=43.677083 loss=2.429195 lr=0.081871 Epoch[082] Batch [0199]/[3760] Speed: 64.534248 samples/sec accuracy=43.484375 loss=2.433054 lr=0.081859 Epoch[082] Batch [0249]/[3760] Speed: 64.309266 samples/sec accuracy=43.912500 loss=2.415963 lr=0.081847 Epoch[082] Batch [0299]/[3760] Speed: 64.477123 samples/sec accuracy=43.958333 loss=2.412734 lr=0.081836 Epoch[082] Batch [0349]/[3760] Speed: 64.706631 samples/sec accuracy=44.066964 loss=2.415616 lr=0.081824 Epoch[082] Batch [0399]/[3760] Speed: 63.980127 samples/sec accuracy=44.011719 loss=2.415564 lr=0.081812 Epoch[082] Batch [0449]/[3760] Speed: 64.391735 samples/sec accuracy=44.020833 loss=2.418950 lr=0.081801 Epoch[082] Batch [0499]/[3760] Speed: 64.669807 samples/sec accuracy=43.959375 loss=2.420065 lr=0.081789 Epoch[082] Batch [0549]/[3760] Speed: 64.233947 samples/sec accuracy=43.917614 loss=2.425816 lr=0.081777 Epoch[082] Batch [0599]/[3760] Speed: 64.613506 samples/sec accuracy=43.960938 loss=2.424600 lr=0.081766 Epoch[082] Batch [0649]/[3760] Speed: 64.210625 samples/sec accuracy=43.973558 loss=2.425118 lr=0.081754 Epoch[082] Batch [0699]/[3760] Speed: 64.972904 samples/sec accuracy=43.854911 loss=2.431115 lr=0.081742 Epoch[082] Batch [0749]/[3760] Speed: 64.935075 samples/sec accuracy=43.912500 loss=2.427895 lr=0.081731 Epoch[082] Batch [0799]/[3760] Speed: 64.622824 samples/sec accuracy=43.886719 loss=2.431657 lr=0.081719 Epoch[082] Batch [0849]/[3760] Speed: 64.284153 samples/sec accuracy=43.867647 loss=2.433145 lr=0.081707 Epoch[082] Batch [0899]/[3760] Speed: 64.402205 samples/sec accuracy=43.859375 loss=2.435047 lr=0.081696 Epoch[082] Batch [0949]/[3760] Speed: 64.003294 samples/sec accuracy=43.845395 loss=2.432854 lr=0.081684 Epoch[082] Batch [0999]/[3760] Speed: 64.459833 samples/sec accuracy=43.845312 loss=2.431258 lr=0.081672 Epoch[082] Batch [1049]/[3760] Speed: 64.116370 samples/sec accuracy=43.825893 loss=2.433171 lr=0.081660 Epoch[082] Batch [1099]/[3760] Speed: 65.135759 samples/sec accuracy=43.764205 loss=2.434289 lr=0.081649 Epoch[082] Batch [1149]/[3760] Speed: 64.563216 samples/sec accuracy=43.691576 loss=2.437008 lr=0.081637 Epoch[082] Batch [1199]/[3760] Speed: 63.580348 samples/sec accuracy=43.699219 loss=2.436419 lr=0.081625 Epoch[082] Batch [1249]/[3760] Speed: 64.670584 samples/sec accuracy=43.563750 loss=2.440740 lr=0.081614 Epoch[082] Batch [1299]/[3760] Speed: 64.817834 samples/sec accuracy=43.560096 loss=2.442560 lr=0.081602 Epoch[082] Batch [1349]/[3760] Speed: 64.242282 samples/sec accuracy=43.483796 loss=2.444921 lr=0.081590 Epoch[082] Batch [1399]/[3760] Speed: 64.519967 samples/sec accuracy=43.504464 loss=2.445408 lr=0.081579 Epoch[082] Batch [1449]/[3760] Speed: 64.880744 samples/sec accuracy=43.431034 loss=2.448704 lr=0.081567 Epoch[082] Batch [1499]/[3760] Speed: 64.428850 samples/sec accuracy=43.491667 loss=2.447053 lr=0.081555 Epoch[082] Batch [1549]/[3760] Speed: 64.156791 samples/sec accuracy=43.467742 loss=2.447474 lr=0.081544 Epoch[082] Batch [1599]/[3760] Speed: 63.770556 samples/sec accuracy=43.477539 loss=2.447679 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lr=0.081086 Epoch[082] Batch [3549]/[3760] Speed: 64.123416 samples/sec accuracy=43.395687 loss=2.463738 lr=0.081074 Epoch[082] Batch [3599]/[3760] Speed: 64.397521 samples/sec accuracy=43.402344 loss=2.463508 lr=0.081062 Epoch[082] Batch [3649]/[3760] Speed: 65.117595 samples/sec accuracy=43.405394 loss=2.463323 lr=0.081051 Epoch[082] Batch [3699]/[3760] Speed: 63.687882 samples/sec accuracy=43.394426 loss=2.464459 lr=0.081039 Epoch[082] Batch [3749]/[3760] Speed: 67.776657 samples/sec accuracy=43.399583 loss=2.464489 lr=0.081027 Batch [0049]/[0303]: acc-top1=41.968750 acc-top5=68.406250 Batch [0099]/[0303]: acc-top1=42.062500 acc-top5=68.765625 Batch [0149]/[0303]: acc-top1=41.468750 acc-top5=68.583333 Batch [0199]/[0303]: acc-top1=41.406250 acc-top5=68.570312 Batch [0249]/[0303]: acc-top1=41.637500 acc-top5=68.668750 Batch [0299]/[0303]: acc-top1=41.479167 acc-top5=68.625000 [Epoch 082] training: accuracy=43.399684 loss=2.464374 [Epoch 082] speed: 63 samples/sec time cost: 4043.090726 [Epoch 082] validation: acc-top1=41.491337 acc-top5=68.610767 loss=2.975036 Epoch[083] Batch [0049]/[3760] Speed: 42.169844 samples/sec accuracy=43.812500 loss=2.458326 lr=0.081013 Epoch[083] Batch [0099]/[3760] Speed: 63.225681 samples/sec accuracy=44.140625 loss=2.437021 lr=0.081001 Epoch[083] Batch [0149]/[3760] Speed: 64.332715 samples/sec accuracy=44.333333 loss=2.421226 lr=0.080989 Epoch[083] Batch [0199]/[3760] Speed: 63.909366 samples/sec accuracy=44.273438 loss=2.416504 lr=0.080978 Epoch[083] Batch [0249]/[3760] Speed: 64.766125 samples/sec accuracy=43.950000 loss=2.424261 lr=0.080966 Epoch[083] Batch [0299]/[3760] Speed: 64.541404 samples/sec accuracy=43.822917 loss=2.434700 lr=0.080954 Epoch[083] Batch [0349]/[3760] Speed: 63.875973 samples/sec accuracy=44.080357 loss=2.430284 lr=0.080942 Epoch[083] Batch [0399]/[3760] Speed: 64.710776 samples/sec accuracy=44.066406 loss=2.429868 lr=0.080930 Epoch[083] Batch [0449]/[3760] Speed: 64.032525 samples/sec accuracy=44.072917 loss=2.430476 lr=0.080919 Epoch[083] Batch [0499]/[3760] Speed: 64.538946 samples/sec accuracy=44.206250 loss=2.425953 lr=0.080907 Epoch[083] Batch [0549]/[3760] Speed: 64.116218 samples/sec accuracy=44.113636 loss=2.428876 lr=0.080895 Epoch[083] Batch [0599]/[3760] Speed: 64.009136 samples/sec accuracy=44.075521 loss=2.431175 lr=0.080883 Epoch[083] Batch [0649]/[3760] Speed: 64.596157 samples/sec accuracy=44.028846 loss=2.434146 lr=0.080872 Epoch[083] Batch [0699]/[3760] Speed: 64.800542 samples/sec accuracy=43.973214 loss=2.437461 lr=0.080860 Epoch[083] Batch [0749]/[3760] Speed: 63.771507 samples/sec accuracy=43.914583 loss=2.438670 lr=0.080848 Epoch[083] Batch [0799]/[3760] Speed: 64.774287 samples/sec accuracy=43.861328 loss=2.440914 lr=0.080836 Epoch[083] Batch [0849]/[3760] Speed: 64.662959 samples/sec accuracy=43.904412 loss=2.436563 lr=0.080824 Epoch[083] Batch [0899]/[3760] Speed: 64.041085 samples/sec accuracy=43.850694 loss=2.440552 lr=0.080813 Epoch[083] 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accuracy=43.823661 loss=2.446575 lr=0.080694 Epoch[083] Batch [1449]/[3760] Speed: 64.143586 samples/sec accuracy=43.834052 loss=2.445728 lr=0.080683 Epoch[083] Batch [1499]/[3760] Speed: 64.157051 samples/sec accuracy=43.812500 loss=2.446686 lr=0.080671 Epoch[083] Batch [1549]/[3760] Speed: 64.350274 samples/sec accuracy=43.811492 loss=2.447062 lr=0.080659 Epoch[083] Batch [1599]/[3760] Speed: 64.387804 samples/sec accuracy=43.768555 loss=2.448631 lr=0.080647 Epoch[083] Batch [1649]/[3760] Speed: 64.221422 samples/sec accuracy=43.818182 loss=2.448420 lr=0.080635 Epoch[083] Batch [1699]/[3760] Speed: 63.415118 samples/sec accuracy=43.858456 loss=2.447600 lr=0.080624 Epoch[083] Batch [1749]/[3760] Speed: 64.858933 samples/sec accuracy=43.822321 loss=2.448025 lr=0.080612 Epoch[083] Batch [1799]/[3760] Speed: 64.100971 samples/sec accuracy=43.790799 loss=2.449056 lr=0.080600 Epoch[083] Batch [1849]/[3760] Speed: 64.007942 samples/sec accuracy=43.792230 loss=2.448676 lr=0.080588 Epoch[083] 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accuracy=43.663564 loss=2.450325 lr=0.080470 Epoch[083] Batch [2399]/[3760] Speed: 63.684754 samples/sec accuracy=43.683594 loss=2.450159 lr=0.080458 Epoch[083] Batch [2449]/[3760] Speed: 65.109661 samples/sec accuracy=43.658801 loss=2.450431 lr=0.080446 Epoch[083] Batch [2499]/[3760] Speed: 64.760575 samples/sec accuracy=43.624375 loss=2.451738 lr=0.080434 Epoch[083] Batch [2549]/[3760] Speed: 64.105875 samples/sec accuracy=43.659314 loss=2.451401 lr=0.080422 Epoch[083] Batch [2599]/[3760] Speed: 64.582593 samples/sec accuracy=43.625000 loss=2.452585 lr=0.080411 Epoch[083] Batch [2649]/[3760] Speed: 64.852213 samples/sec accuracy=43.602005 loss=2.453647 lr=0.080399 Epoch[083] Batch [2699]/[3760] Speed: 63.629609 samples/sec accuracy=43.596065 loss=2.453834 lr=0.080387 Epoch[083] Batch [2749]/[3760] Speed: 64.617756 samples/sec accuracy=43.584091 loss=2.453753 lr=0.080375 Epoch[083] Batch [2799]/[3760] Speed: 64.535848 samples/sec accuracy=43.569754 loss=2.454567 lr=0.080363 Epoch[083] 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accuracy=43.572443 loss=2.456691 lr=0.080244 Epoch[083] Batch [3349]/[3760] Speed: 64.589827 samples/sec accuracy=43.557369 loss=2.457280 lr=0.080233 Epoch[083] Batch [3399]/[3760] Speed: 63.782907 samples/sec accuracy=43.569393 loss=2.457326 lr=0.080221 Epoch[083] Batch [3449]/[3760] Speed: 64.697603 samples/sec accuracy=43.568841 loss=2.457107 lr=0.080209 Epoch[083] Batch [3499]/[3760] Speed: 64.308566 samples/sec accuracy=43.575893 loss=2.456797 lr=0.080197 Epoch[083] Batch [3549]/[3760] Speed: 64.003066 samples/sec accuracy=43.558979 loss=2.457547 lr=0.080185 Epoch[083] Batch [3599]/[3760] Speed: 64.380479 samples/sec accuracy=43.541667 loss=2.457942 lr=0.080173 Epoch[083] Batch [3649]/[3760] Speed: 63.580641 samples/sec accuracy=43.539812 loss=2.458142 lr=0.080161 Epoch[083] Batch [3699]/[3760] Speed: 64.743195 samples/sec accuracy=43.537162 loss=2.458514 lr=0.080149 Epoch[083] Batch [3749]/[3760] Speed: 67.996883 samples/sec accuracy=43.545417 loss=2.457667 lr=0.080138 Batch [0049]/[0303]: acc-top1=42.562500 acc-top5=69.625000 Batch [0099]/[0303]: acc-top1=43.312500 acc-top5=69.593750 Batch [0149]/[0303]: acc-top1=43.052083 acc-top5=69.031250 Batch [0199]/[0303]: acc-top1=42.937500 acc-top5=68.921875 Batch [0249]/[0303]: acc-top1=43.162500 acc-top5=69.425000 Batch [0299]/[0303]: acc-top1=43.057292 acc-top5=69.307292 [Epoch 083] training: accuracy=43.546792 loss=2.457736 [Epoch 083] speed: 63 samples/sec time cost: 4043.563211 [Epoch 083] validation: acc-top1=43.064150 acc-top5=69.327558 loss=2.846864 Epoch[084] Batch [0049]/[3759] Speed: 42.170726 samples/sec accuracy=44.375000 loss=2.369961 lr=0.080123 Epoch[084] Batch [0099]/[3759] Speed: 62.877500 samples/sec accuracy=45.078125 loss=2.370539 lr=0.080111 Epoch[084] Batch [0149]/[3759] Speed: 64.391449 samples/sec accuracy=44.875000 loss=2.375480 lr=0.080100 Epoch[084] Batch [0199]/[3759] Speed: 64.027766 samples/sec accuracy=44.882812 loss=2.377175 lr=0.080088 Epoch[084] Batch [0249]/[3759] Speed: 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lr=0.079288 Epoch[084] Batch [3599]/[3759] Speed: 64.343719 samples/sec accuracy=43.712240 loss=2.447656 lr=0.079276 Epoch[084] Batch [3649]/[3759] Speed: 64.531567 samples/sec accuracy=43.706764 loss=2.448310 lr=0.079264 Epoch[084] Batch [3699]/[3759] Speed: 63.818137 samples/sec accuracy=43.710726 loss=2.448330 lr=0.079252 Epoch[084] Batch [3749]/[3759] Speed: 67.595171 samples/sec accuracy=43.721250 loss=2.448747 lr=0.079240 Batch [0049]/[0303]: acc-top1=42.250000 acc-top5=68.812500 Batch [0099]/[0303]: acc-top1=42.375000 acc-top5=69.125000 Batch [0149]/[0303]: acc-top1=42.260417 acc-top5=68.937500 Batch [0199]/[0303]: acc-top1=42.140625 acc-top5=69.179688 Batch [0249]/[0303]: acc-top1=42.506250 acc-top5=69.400000 Batch [0299]/[0303]: acc-top1=42.552083 acc-top5=69.380208 [Epoch 084] training: accuracy=43.717162 loss=2.448884 [Epoch 084] speed: 63 samples/sec time cost: 4049.112451 [Epoch 084] validation: acc-top1=42.533003 acc-top5=69.373969 loss=2.820313 Epoch[085] Batch 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accuracy=43.831250 loss=2.428669 lr=0.079117 Epoch[085] Batch [0549]/[3760] Speed: 64.660440 samples/sec accuracy=43.852273 loss=2.427810 lr=0.079105 Epoch[085] Batch [0599]/[3760] Speed: 64.752181 samples/sec accuracy=43.721354 loss=2.432348 lr=0.079093 Epoch[085] Batch [0649]/[3760] Speed: 63.837092 samples/sec accuracy=43.692308 loss=2.433486 lr=0.079081 Epoch[085] Batch [0699]/[3760] Speed: 64.665408 samples/sec accuracy=43.694196 loss=2.434773 lr=0.079069 Epoch[085] Batch [0749]/[3760] Speed: 64.232776 samples/sec accuracy=43.802083 loss=2.433540 lr=0.079057 Epoch[085] Batch [0799]/[3760] Speed: 63.974166 samples/sec accuracy=43.894531 loss=2.431308 lr=0.079045 Epoch[085] Batch [0849]/[3760] Speed: 64.555595 samples/sec accuracy=43.836397 loss=2.434298 lr=0.079033 Epoch[085] Batch [0899]/[3760] Speed: 63.290371 samples/sec accuracy=43.791667 loss=2.435519 lr=0.079021 Epoch[085] Batch [0949]/[3760] Speed: 64.650439 samples/sec accuracy=43.753289 loss=2.435297 lr=0.079009 Epoch[085] 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accuracy=43.782328 loss=2.438521 lr=0.078889 Epoch[085] Batch [1499]/[3760] Speed: 63.980278 samples/sec accuracy=43.761458 loss=2.439415 lr=0.078877 Epoch[085] Batch [1549]/[3760] Speed: 64.288543 samples/sec accuracy=43.752016 loss=2.438982 lr=0.078865 Epoch[085] Batch [1599]/[3760] Speed: 64.146916 samples/sec accuracy=43.775391 loss=2.437926 lr=0.078853 Epoch[085] Batch [1649]/[3760] Speed: 63.951097 samples/sec accuracy=43.788826 loss=2.436954 lr=0.078841 Epoch[085] Batch [1699]/[3760] Speed: 64.302528 samples/sec accuracy=43.789522 loss=2.437383 lr=0.078829 Epoch[085] Batch [1749]/[3760] Speed: 63.940804 samples/sec accuracy=43.775893 loss=2.438224 lr=0.078817 Epoch[085] Batch [1799]/[3760] Speed: 64.803701 samples/sec accuracy=43.752604 loss=2.440276 lr=0.078805 Epoch[085] Batch [1849]/[3760] Speed: 64.651008 samples/sec accuracy=43.746622 loss=2.441736 lr=0.078793 Epoch[085] Batch [1899]/[3760] Speed: 63.521301 samples/sec accuracy=43.761513 loss=2.441643 lr=0.078781 Epoch[085] 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accuracy=43.843750 loss=2.441678 lr=0.078660 Epoch[085] Batch [2449]/[3760] Speed: 64.483633 samples/sec accuracy=43.845026 loss=2.441710 lr=0.078648 Epoch[085] Batch [2499]/[3760] Speed: 64.395365 samples/sec accuracy=43.841250 loss=2.441994 lr=0.078636 Epoch[085] Batch [2549]/[3760] Speed: 64.394497 samples/sec accuracy=43.844363 loss=2.442134 lr=0.078624 Epoch[085] Batch [2599]/[3760] Speed: 63.161222 samples/sec accuracy=43.831130 loss=2.442611 lr=0.078612 Epoch[085] Batch [2649]/[3760] Speed: 64.527450 samples/sec accuracy=43.824882 loss=2.443708 lr=0.078600 Epoch[085] Batch [2699]/[3760] Speed: 64.494860 samples/sec accuracy=43.800926 loss=2.445500 lr=0.078588 Epoch[085] Batch [2749]/[3760] Speed: 63.896663 samples/sec accuracy=43.842045 loss=2.443923 lr=0.078576 Epoch[085] Batch [2799]/[3760] Speed: 64.385241 samples/sec accuracy=43.832031 loss=2.444182 lr=0.078564 Epoch[085] Batch [2849]/[3760] Speed: 64.589764 samples/sec accuracy=43.810855 loss=2.445683 lr=0.078551 Epoch[085] Batch [2899]/[3760] Speed: 63.544151 samples/sec accuracy=43.804957 loss=2.445750 lr=0.078539 Epoch[085] Batch [2949]/[3760] Speed: 64.252186 samples/sec accuracy=43.780720 loss=2.445690 lr=0.078527 Epoch[085] Batch [2999]/[3760] Speed: 64.271146 samples/sec accuracy=43.757812 loss=2.446461 lr=0.078515 Epoch[085] Batch [3049]/[3760] Speed: 63.864118 samples/sec accuracy=43.754611 loss=2.446935 lr=0.078503 Epoch[085] Batch [3099]/[3760] Speed: 64.438629 samples/sec accuracy=43.741431 loss=2.447465 lr=0.078491 Epoch[085] Batch [3149]/[3760] Speed: 64.404032 samples/sec accuracy=43.737599 loss=2.447405 lr=0.078479 Epoch[085] Batch [3199]/[3760] Speed: 64.086669 samples/sec accuracy=43.761719 loss=2.446478 lr=0.078467 Epoch[085] Batch [3249]/[3760] Speed: 64.460082 samples/sec accuracy=43.746635 loss=2.447825 lr=0.078455 Epoch[085] Batch [3299]/[3760] Speed: 64.503336 samples/sec accuracy=43.739583 loss=2.448130 lr=0.078443 Epoch[085] Batch [3349]/[3760] Speed: 63.954534 samples/sec accuracy=43.740672 loss=2.448486 lr=0.078431 Epoch[085] Batch [3399]/[3760] Speed: 64.103624 samples/sec accuracy=43.738051 loss=2.448541 lr=0.078419 Epoch[085] Batch [3449]/[3760] Speed: 64.598345 samples/sec accuracy=43.704257 loss=2.449480 lr=0.078406 Epoch[085] Batch [3499]/[3760] Speed: 63.891721 samples/sec accuracy=43.686161 loss=2.449884 lr=0.078394 Epoch[085] Batch [3549]/[3760] Speed: 64.236060 samples/sec accuracy=43.665053 loss=2.450615 lr=0.078382 Epoch[085] Batch [3599]/[3760] Speed: 63.855828 samples/sec accuracy=43.668403 loss=2.450913 lr=0.078370 Epoch[085] Batch [3649]/[3760] Speed: 64.640079 samples/sec accuracy=43.662671 loss=2.450905 lr=0.078358 Epoch[085] Batch [3699]/[3760] Speed: 64.643107 samples/sec accuracy=43.652872 loss=2.451828 lr=0.078346 Epoch[085] Batch [3749]/[3760] Speed: 67.691906 samples/sec accuracy=43.662083 loss=2.451819 lr=0.078334 Batch [0049]/[0303]: acc-top1=43.750000 acc-top5=70.812500 Batch [0099]/[0303]: acc-top1=43.812500 acc-top5=71.093750 Batch [0149]/[0303]: acc-top1=43.614583 acc-top5=70.729167 Batch [0199]/[0303]: acc-top1=43.492188 acc-top5=70.843750 Batch [0249]/[0303]: acc-top1=43.687500 acc-top5=71.031250 Batch [0299]/[0303]: acc-top1=43.963542 acc-top5=70.968750 [Epoch 085] training: accuracy=43.663564 loss=2.451961 [Epoch 085] speed: 63 samples/sec time cost: 4049.131077 [Epoch 085] validation: acc-top1=44.012995 acc-top5=70.977723 loss=2.651398 Epoch[086] Batch [0049]/[3760] Speed: 42.377733 samples/sec accuracy=44.656250 loss=2.388032 lr=0.078319 Epoch[086] Batch [0099]/[3760] Speed: 62.643032 samples/sec accuracy=43.218750 loss=2.410539 lr=0.078307 Epoch[086] Batch [0149]/[3760] Speed: 63.694756 samples/sec accuracy=43.916667 loss=2.387975 lr=0.078295 Epoch[086] Batch [0199]/[3760] Speed: 63.128159 samples/sec accuracy=43.882812 loss=2.398412 lr=0.078283 Epoch[086] Batch [0249]/[3760] Speed: 65.065354 samples/sec accuracy=43.987500 loss=2.406923 lr=0.078271 Epoch[086] Batch [0299]/[3760] 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accuracy=43.868924 loss=2.434014 lr=0.077457 Epoch[086] Batch [3649]/[3760] Speed: 64.346765 samples/sec accuracy=43.853168 loss=2.434688 lr=0.077445 Epoch[086] Batch [3699]/[3760] Speed: 63.634471 samples/sec accuracy=43.837416 loss=2.435585 lr=0.077432 Epoch[086] Batch [3749]/[3760] Speed: 68.766025 samples/sec accuracy=43.834583 loss=2.436251 lr=0.077420 Batch [0049]/[0303]: acc-top1=42.437500 acc-top5=69.468750 Batch [0099]/[0303]: acc-top1=42.500000 acc-top5=68.953125 Batch [0149]/[0303]: acc-top1=42.791667 acc-top5=68.979167 Batch [0199]/[0303]: acc-top1=42.710938 acc-top5=68.929688 Batch [0249]/[0303]: acc-top1=42.518750 acc-top5=69.075000 Batch [0299]/[0303]: acc-top1=42.578125 acc-top5=69.114583 [Epoch 086] training: accuracy=43.843085 loss=2.436156 [Epoch 086] speed: 63 samples/sec time cost: 4048.164534 [Epoch 086] validation: acc-top1=42.589728 acc-top5=69.100660 loss=3.039436 Epoch[087] Batch [0049]/[3759] Speed: 42.071011 samples/sec accuracy=43.343750 loss=2.441376 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lr=0.076708 Epoch[087] Batch [2949]/[3759] Speed: 64.720860 samples/sec accuracy=44.069386 loss=2.427942 lr=0.076695 Epoch[087] Batch [2999]/[3759] Speed: 64.186346 samples/sec accuracy=44.067187 loss=2.428376 lr=0.076683 Epoch[087] Batch [3049]/[3759] Speed: 64.408159 samples/sec accuracy=44.044057 loss=2.429551 lr=0.076671 Epoch[087] Batch [3099]/[3759] Speed: 64.571132 samples/sec accuracy=44.038810 loss=2.429832 lr=0.076659 Epoch[087] Batch [3149]/[3759] Speed: 64.116169 samples/sec accuracy=44.015377 loss=2.430555 lr=0.076646 Epoch[087] Batch [3199]/[3759] Speed: 64.433984 samples/sec accuracy=43.988770 loss=2.432056 lr=0.076634 Epoch[087] Batch [3249]/[3759] Speed: 64.805026 samples/sec accuracy=43.958654 loss=2.433275 lr=0.076622 Epoch[087] Batch [3299]/[3759] Speed: 63.958923 samples/sec accuracy=43.953598 loss=2.433385 lr=0.076610 Epoch[087] Batch [3349]/[3759] Speed: 64.646274 samples/sec accuracy=43.979011 loss=2.432417 lr=0.076597 Epoch[087] Batch [3399]/[3759] Speed: 64.234101 samples/sec accuracy=43.958640 loss=2.432899 lr=0.076585 Epoch[087] Batch [3449]/[3759] Speed: 64.070237 samples/sec accuracy=43.957880 loss=2.432930 lr=0.076573 Epoch[087] Batch [3499]/[3759] Speed: 64.626534 samples/sec accuracy=43.970089 loss=2.432496 lr=0.076560 Epoch[087] Batch [3549]/[3759] Speed: 64.107478 samples/sec accuracy=43.960387 loss=2.432973 lr=0.076548 Epoch[087] Batch [3599]/[3759] Speed: 64.126380 samples/sec accuracy=43.968316 loss=2.432524 lr=0.076536 Epoch[087] Batch [3649]/[3759] Speed: 64.244436 samples/sec accuracy=43.973031 loss=2.432692 lr=0.076523 Epoch[087] Batch [3699]/[3759] Speed: 64.466639 samples/sec accuracy=43.986909 loss=2.432467 lr=0.076511 Epoch[087] Batch [3749]/[3759] Speed: 67.345915 samples/sec accuracy=43.993750 loss=2.432442 lr=0.076499 Batch [0049]/[0303]: acc-top1=42.625000 acc-top5=69.312500 Batch [0099]/[0303]: acc-top1=42.937500 acc-top5=69.671875 Batch [0149]/[0303]: acc-top1=43.458333 acc-top5=69.718750 Batch [0199]/[0303]: acc-top1=43.335938 acc-top5=69.851562 Batch [0249]/[0303]: acc-top1=43.562500 acc-top5=70.075000 Batch [0299]/[0303]: acc-top1=43.437500 acc-top5=69.953125 [Epoch 087] training: accuracy=43.986516 loss=2.432644 [Epoch 087] speed: 63 samples/sec time cost: 4048.263181 [Epoch 087] validation: acc-top1=43.425124 acc-top5=69.951526 loss=2.777519 Epoch[088] Batch [0049]/[3760] Speed: 42.329643 samples/sec accuracy=45.718750 loss=2.323212 lr=0.076484 Epoch[088] Batch [0099]/[3760] Speed: 62.673286 samples/sec accuracy=45.281250 loss=2.358143 lr=0.076472 Epoch[088] Batch [0149]/[3760] Speed: 64.344684 samples/sec accuracy=44.989583 loss=2.371593 lr=0.076460 Epoch[088] Batch [0199]/[3760] Speed: 62.904002 samples/sec accuracy=44.765625 loss=2.388931 lr=0.076447 Epoch[088] Batch [0249]/[3760] Speed: 64.210969 samples/sec accuracy=44.775000 loss=2.390642 lr=0.076435 Epoch[088] Batch [0299]/[3760] Speed: 64.529603 samples/sec accuracy=44.473958 loss=2.400425 lr=0.076423 Epoch[088] Batch 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accuracy=44.103168 loss=2.422777 lr=0.075595 Epoch[088] Batch [3699]/[3760] Speed: 64.022825 samples/sec accuracy=44.119510 loss=2.422574 lr=0.075583 Epoch[088] Batch [3749]/[3760] Speed: 67.151393 samples/sec accuracy=44.120417 loss=2.422471 lr=0.075571 Batch [0049]/[0303]: acc-top1=42.406250 acc-top5=70.156250 Batch [0099]/[0303]: acc-top1=43.421875 acc-top5=70.484375 Batch [0149]/[0303]: acc-top1=43.708333 acc-top5=70.218750 Batch [0199]/[0303]: acc-top1=43.929688 acc-top5=70.257812 Batch [0249]/[0303]: acc-top1=44.031250 acc-top5=70.350000 Batch [0299]/[0303]: acc-top1=44.125000 acc-top5=70.432292 [Epoch 088] training: accuracy=44.122340 loss=2.422162 [Epoch 088] speed: 63 samples/sec time cost: 4050.175550 [Epoch 088] validation: acc-top1=44.136757 acc-top5=70.446576 loss=2.676207 Epoch[089] Batch [0049]/[3760] Speed: 41.904094 samples/sec accuracy=44.718750 loss=2.376584 lr=0.075556 Epoch[089] Batch [0099]/[3760] Speed: 62.630693 samples/sec accuracy=43.984375 loss=2.411755 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lr=0.074835 Epoch[089] Batch [2999]/[3760] Speed: 64.327669 samples/sec accuracy=44.333333 loss=2.416174 lr=0.074822 Epoch[089] Batch [3049]/[3760] Speed: 64.699310 samples/sec accuracy=44.326844 loss=2.416129 lr=0.074810 Epoch[089] Batch [3099]/[3760] Speed: 63.704670 samples/sec accuracy=44.345766 loss=2.415731 lr=0.074798 Epoch[089] Batch [3149]/[3760] Speed: 64.620575 samples/sec accuracy=44.324405 loss=2.416482 lr=0.074785 Epoch[089] Batch [3199]/[3760] Speed: 64.348836 samples/sec accuracy=44.329102 loss=2.417058 lr=0.074773 Epoch[089] Batch [3249]/[3760] Speed: 63.776343 samples/sec accuracy=44.308654 loss=2.417259 lr=0.074760 Epoch[089] Batch [3299]/[3760] Speed: 64.299025 samples/sec accuracy=44.320076 loss=2.416652 lr=0.074748 Epoch[089] Batch [3349]/[3760] Speed: 64.436598 samples/sec accuracy=44.300840 loss=2.417192 lr=0.074735 Epoch[089] Batch [3399]/[3760] Speed: 64.234464 samples/sec accuracy=44.292739 loss=2.418491 lr=0.074723 Epoch[089] Batch [3449]/[3760] Speed: 64.352768 samples/sec accuracy=44.307518 loss=2.418186 lr=0.074710 Epoch[089] Batch [3499]/[3760] Speed: 64.437146 samples/sec accuracy=44.313393 loss=2.418088 lr=0.074698 Epoch[089] Batch [3549]/[3760] Speed: 63.718006 samples/sec accuracy=44.312940 loss=2.417897 lr=0.074685 Epoch[089] Batch [3599]/[3760] Speed: 64.345885 samples/sec accuracy=44.300347 loss=2.418218 lr=0.074673 Epoch[089] Batch [3649]/[3760] Speed: 64.703310 samples/sec accuracy=44.301370 loss=2.419066 lr=0.074660 Epoch[089] Batch [3699]/[3760] Speed: 64.088011 samples/sec accuracy=44.304476 loss=2.419881 lr=0.074648 Epoch[089] Batch [3749]/[3760] Speed: 67.828975 samples/sec accuracy=44.306250 loss=2.419942 lr=0.074635 Batch [0049]/[0303]: acc-top1=45.031250 acc-top5=70.375000 Batch [0099]/[0303]: acc-top1=45.015625 acc-top5=70.968750 Batch [0149]/[0303]: acc-top1=44.937500 acc-top5=71.104167 Batch [0199]/[0303]: acc-top1=44.992188 acc-top5=71.101562 Batch [0249]/[0303]: acc-top1=45.437500 acc-top5=71.500000 Batch [0299]/[0303]: acc-top1=45.432292 acc-top5=71.567708 [Epoch 089] training: accuracy=44.310173 loss=2.419559 [Epoch 089] speed: 63 samples/sec time cost: 4050.983813 [Epoch 089] validation: acc-top1=45.441419 acc-top5=71.539810 loss=2.577741 Epoch[090] Batch [0049]/[3759] Speed: 42.513083 samples/sec accuracy=46.500000 loss=2.313633 lr=0.074620 Epoch[090] Batch [0099]/[3759] Speed: 62.798099 samples/sec accuracy=44.968750 loss=2.370021 lr=0.074608 Epoch[090] Batch [0149]/[3759] Speed: 64.807989 samples/sec accuracy=44.541667 loss=2.395244 lr=0.074595 Epoch[090] Batch [0199]/[3759] Speed: 64.139211 samples/sec accuracy=45.218750 loss=2.377975 lr=0.074583 Epoch[090] Batch [0249]/[3759] Speed: 64.212934 samples/sec accuracy=45.081250 loss=2.382605 lr=0.074570 Epoch[090] Batch [0299]/[3759] Speed: 63.888000 samples/sec accuracy=44.958333 loss=2.384221 lr=0.074558 Epoch[090] Batch [0349]/[3759] Speed: 64.617986 samples/sec accuracy=44.888393 loss=2.380927 lr=0.074545 Epoch[090] Batch 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accuracy=44.509091 loss=2.404679 lr=0.073945 Epoch[090] Batch [2799]/[3759] Speed: 64.696640 samples/sec accuracy=44.506138 loss=2.404855 lr=0.073932 Epoch[090] Batch [2849]/[3759] Speed: 64.473858 samples/sec accuracy=44.501645 loss=2.405431 lr=0.073920 Epoch[090] Batch [2899]/[3759] Speed: 63.555799 samples/sec accuracy=44.501078 loss=2.404676 lr=0.073907 Epoch[090] Batch [2949]/[3759] Speed: 64.834532 samples/sec accuracy=44.492055 loss=2.405503 lr=0.073894 Epoch[090] Batch [2999]/[3759] Speed: 64.134527 samples/sec accuracy=44.472917 loss=2.405970 lr=0.073882 Epoch[090] Batch [3049]/[3759] Speed: 63.636914 samples/sec accuracy=44.468750 loss=2.406456 lr=0.073869 Epoch[090] Batch [3099]/[3759] Speed: 64.043723 samples/sec accuracy=44.454133 loss=2.407043 lr=0.073857 Epoch[090] Batch [3149]/[3759] Speed: 64.398287 samples/sec accuracy=44.442956 loss=2.408426 lr=0.073844 Epoch[090] Batch [3199]/[3759] Speed: 63.536259 samples/sec accuracy=44.455078 loss=2.408194 lr=0.073832 Epoch[090] 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accuracy=44.441301 loss=2.408595 lr=0.073706 Epoch[090] Batch [3749]/[3759] Speed: 68.045884 samples/sec accuracy=44.427083 loss=2.409033 lr=0.073694 Batch [0049]/[0303]: acc-top1=43.468750 acc-top5=71.187500 Batch [0099]/[0303]: acc-top1=44.187500 acc-top5=71.203125 Batch [0149]/[0303]: acc-top1=43.947917 acc-top5=71.333333 Batch [0199]/[0303]: acc-top1=44.093750 acc-top5=71.343750 Batch [0249]/[0303]: acc-top1=44.331250 acc-top5=71.543750 Batch [0299]/[0303]: acc-top1=44.416667 acc-top5=71.567708 [Epoch 090] training: accuracy=44.432113 loss=2.408821 [Epoch 090] speed: 63 samples/sec time cost: 4051.099026 [Epoch 090] validation: acc-top1=44.451320 acc-top5=71.575908 loss=2.697071 Epoch[091] Batch [0049]/[3760] Speed: 41.861201 samples/sec accuracy=44.531250 loss=2.385949 lr=0.073679 Epoch[091] Batch [0099]/[3760] Speed: 62.027800 samples/sec accuracy=44.484375 loss=2.383753 lr=0.073666 Epoch[091] Batch [0149]/[3760] Speed: 64.263815 samples/sec accuracy=45.187500 loss=2.348818 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lr=0.073175 Epoch[091] Batch [2099]/[3760] Speed: 64.481838 samples/sec accuracy=44.763393 loss=2.396553 lr=0.073162 Epoch[091] Batch [2149]/[3760] Speed: 64.024117 samples/sec accuracy=44.767442 loss=2.396679 lr=0.073150 Epoch[091] Batch [2199]/[3760] Speed: 64.505428 samples/sec accuracy=44.782670 loss=2.396329 lr=0.073137 Epoch[091] Batch [2249]/[3760] Speed: 64.081066 samples/sec accuracy=44.768056 loss=2.396812 lr=0.073125 Epoch[091] Batch [2299]/[3760] Speed: 63.995871 samples/sec accuracy=44.751359 loss=2.397887 lr=0.073112 Epoch[091] Batch [2349]/[3760] Speed: 64.412608 samples/sec accuracy=44.757314 loss=2.397137 lr=0.073099 Epoch[091] Batch [2399]/[3760] Speed: 64.637053 samples/sec accuracy=44.759115 loss=2.397090 lr=0.073087 Epoch[091] Batch [2449]/[3760] Speed: 63.631138 samples/sec accuracy=44.740434 loss=2.398162 lr=0.073074 Epoch[091] Batch [2499]/[3760] Speed: 64.242751 samples/sec accuracy=44.737500 loss=2.398048 lr=0.073062 Epoch[091] Batch [2549]/[3760] Speed: 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lr=0.072935 Epoch[091] Batch [3049]/[3760] Speed: 64.286323 samples/sec accuracy=44.706967 loss=2.399554 lr=0.072923 Epoch[091] Batch [3099]/[3760] Speed: 64.396123 samples/sec accuracy=44.707661 loss=2.399200 lr=0.072910 Epoch[091] Batch [3149]/[3760] Speed: 63.878335 samples/sec accuracy=44.696429 loss=2.399495 lr=0.072897 Epoch[091] Batch [3199]/[3760] Speed: 64.286477 samples/sec accuracy=44.715820 loss=2.399022 lr=0.072885 Epoch[091] Batch [3249]/[3760] Speed: 64.193932 samples/sec accuracy=44.717788 loss=2.399281 lr=0.072872 Epoch[091] Batch [3299]/[3760] Speed: 64.122252 samples/sec accuracy=44.709280 loss=2.400767 lr=0.072859 Epoch[091] Batch [3349]/[3760] Speed: 63.871355 samples/sec accuracy=44.715019 loss=2.400564 lr=0.072847 Epoch[091] Batch [3399]/[3760] Speed: 64.719730 samples/sec accuracy=44.717831 loss=2.399984 lr=0.072834 Epoch[091] Batch [3449]/[3760] Speed: 64.097688 samples/sec accuracy=44.728714 loss=2.399240 lr=0.072822 Epoch[091] Batch [3499]/[3760] Speed: 63.694193 samples/sec accuracy=44.730804 loss=2.398679 lr=0.072809 Epoch[091] Batch [3549]/[3760] Speed: 64.963390 samples/sec accuracy=44.723151 loss=2.399823 lr=0.072796 Epoch[091] Batch [3599]/[3760] Speed: 64.369183 samples/sec accuracy=44.698351 loss=2.400783 lr=0.072784 Epoch[091] Batch [3649]/[3760] Speed: 63.801108 samples/sec accuracy=44.687072 loss=2.401365 lr=0.072771 Epoch[091] Batch [3699]/[3760] Speed: 64.700702 samples/sec accuracy=44.688345 loss=2.401443 lr=0.072758 Epoch[091] Batch [3749]/[3760] Speed: 67.626036 samples/sec accuracy=44.682083 loss=2.402031 lr=0.072746 Batch [0049]/[0303]: acc-top1=43.718750 acc-top5=70.531250 Batch [0099]/[0303]: acc-top1=44.000000 acc-top5=70.968750 Batch [0149]/[0303]: acc-top1=44.104167 acc-top5=71.468750 Batch [0199]/[0303]: acc-top1=44.390625 acc-top5=71.640625 Batch [0249]/[0303]: acc-top1=44.675000 acc-top5=71.912500 Batch [0299]/[0303]: acc-top1=44.656250 acc-top5=71.885417 [Epoch 091] training: accuracy=44.675449 loss=2.402198 [Epoch 091] speed: 63 samples/sec time cost: 4056.742648 [Epoch 091] validation: acc-top1=44.662748 acc-top5=71.849216 loss=2.567249 Epoch[092] Batch [0049]/[3760] Speed: 41.593764 samples/sec accuracy=45.281250 loss=2.389745 lr=0.072730 Epoch[092] Batch [0099]/[3760] Speed: 63.246551 samples/sec accuracy=45.484375 loss=2.352316 lr=0.072718 Epoch[092] Batch [0149]/[3760] Speed: 64.217387 samples/sec accuracy=45.010417 loss=2.359483 lr=0.072705 Epoch[092] Batch [0199]/[3760] Speed: 63.259660 samples/sec accuracy=44.742188 loss=2.360724 lr=0.072693 Epoch[092] Batch [0249]/[3760] Speed: 64.920800 samples/sec accuracy=45.081250 loss=2.355810 lr=0.072680 Epoch[092] Batch [0299]/[3760] Speed: 63.951622 samples/sec accuracy=44.984375 loss=2.360302 lr=0.072667 Epoch[092] Batch [0349]/[3760] Speed: 64.177193 samples/sec accuracy=45.142857 loss=2.364434 lr=0.072655 Epoch[092] Batch [0399]/[3760] Speed: 64.425329 samples/sec accuracy=45.125000 loss=2.359348 lr=0.072642 Epoch[092] Batch 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accuracy=44.685764 loss=2.382261 lr=0.072515 Epoch[092] Batch [0949]/[3760] Speed: 63.704404 samples/sec accuracy=44.671053 loss=2.381204 lr=0.072503 Epoch[092] Batch [0999]/[3760] Speed: 64.734800 samples/sec accuracy=44.718750 loss=2.377823 lr=0.072490 Epoch[092] Batch [1049]/[3760] Speed: 63.874900 samples/sec accuracy=44.772321 loss=2.376236 lr=0.072477 Epoch[092] Batch [1099]/[3760] Speed: 63.879219 samples/sec accuracy=44.751420 loss=2.380164 lr=0.072465 Epoch[092] Batch [1149]/[3760] Speed: 64.252234 samples/sec accuracy=44.736413 loss=2.380824 lr=0.072452 Epoch[092] Batch [1199]/[3760] Speed: 64.483481 samples/sec accuracy=44.734375 loss=2.382726 lr=0.072439 Epoch[092] Batch [1249]/[3760] Speed: 63.627352 samples/sec accuracy=44.802500 loss=2.381157 lr=0.072427 Epoch[092] Batch [1299]/[3760] Speed: 64.515243 samples/sec accuracy=44.831731 loss=2.381582 lr=0.072414 Epoch[092] Batch [1349]/[3760] Speed: 64.342492 samples/sec accuracy=44.890046 loss=2.379700 lr=0.072401 Epoch[092] Batch [1399]/[3760] Speed: 63.205028 samples/sec accuracy=44.889509 loss=2.380490 lr=0.072389 Epoch[092] Batch [1449]/[3760] Speed: 64.873240 samples/sec accuracy=44.883621 loss=2.381660 lr=0.072376 Epoch[092] Batch [1499]/[3760] Speed: 64.241118 samples/sec accuracy=44.834375 loss=2.382616 lr=0.072363 Epoch[092] Batch [1549]/[3760] Speed: 63.545349 samples/sec accuracy=44.806452 loss=2.382364 lr=0.072351 Epoch[092] Batch [1599]/[3760] Speed: 65.035966 samples/sec accuracy=44.821289 loss=2.382974 lr=0.072338 Epoch[092] Batch [1649]/[3760] Speed: 64.092596 samples/sec accuracy=44.839962 loss=2.382221 lr=0.072325 Epoch[092] Batch [1699]/[3760] Speed: 63.302210 samples/sec accuracy=44.831801 loss=2.383879 lr=0.072313 Epoch[092] Batch [1749]/[3760] Speed: 64.767916 samples/sec accuracy=44.781250 loss=2.387129 lr=0.072300 Epoch[092] Batch [1799]/[3760] Speed: 64.370833 samples/sec accuracy=44.769097 loss=2.387943 lr=0.072287 Epoch[092] Batch [1849]/[3760] Speed: 63.345825 samples/sec accuracy=44.827703 loss=2.387244 lr=0.072274 Epoch[092] Batch [1899]/[3760] Speed: 64.732364 samples/sec accuracy=44.801809 loss=2.388782 lr=0.072262 Epoch[092] Batch [1949]/[3760] Speed: 64.445472 samples/sec accuracy=44.810897 loss=2.387673 lr=0.072249 Epoch[092] Batch [1999]/[3760] Speed: 63.403669 samples/sec accuracy=44.782031 loss=2.389161 lr=0.072236 Epoch[092] Batch [2049]/[3760] Speed: 64.819331 samples/sec accuracy=44.785823 loss=2.389931 lr=0.072224 Epoch[092] Batch [2099]/[3760] Speed: 64.163604 samples/sec accuracy=44.803571 loss=2.389593 lr=0.072211 Epoch[092] Batch [2149]/[3760] Speed: 64.543058 samples/sec accuracy=44.831395 loss=2.389355 lr=0.072198 Epoch[092] Batch [2199]/[3760] Speed: 63.855478 samples/sec accuracy=44.806108 loss=2.390141 lr=0.072186 Epoch[092] Batch [2249]/[3760] Speed: 64.271670 samples/sec accuracy=44.824306 loss=2.389577 lr=0.072173 Epoch[092] Batch [2299]/[3760] Speed: 64.245780 samples/sec accuracy=44.800272 loss=2.391137 lr=0.072160 Epoch[092] Batch [2349]/[3760] Speed: 63.496911 samples/sec accuracy=44.767287 loss=2.392156 lr=0.072148 Epoch[092] Batch [2399]/[3760] Speed: 64.599830 samples/sec accuracy=44.775391 loss=2.392858 lr=0.072135 Epoch[092] Batch [2449]/[3760] Speed: 64.125069 samples/sec accuracy=44.769770 loss=2.392949 lr=0.072122 Epoch[092] Batch [2499]/[3760] Speed: 63.936253 samples/sec accuracy=44.775625 loss=2.392856 lr=0.072109 Epoch[092] Batch [2549]/[3760] Speed: 63.969492 samples/sec accuracy=44.797794 loss=2.391821 lr=0.072097 Epoch[092] Batch [2599]/[3760] Speed: 64.504180 samples/sec accuracy=44.808894 loss=2.391594 lr=0.072084 Epoch[092] Batch [2649]/[3760] Speed: 64.085477 samples/sec accuracy=44.826061 loss=2.390468 lr=0.072071 Epoch[092] Batch [2699]/[3760] Speed: 64.628575 samples/sec accuracy=44.829282 loss=2.390109 lr=0.072059 Epoch[092] Batch [2749]/[3760] Speed: 63.977937 samples/sec accuracy=44.840909 loss=2.389634 lr=0.072046 Epoch[092] Batch [2799]/[3760] Speed: 64.215416 samples/sec accuracy=44.849330 loss=2.389925 lr=0.072033 Epoch[092] Batch [2849]/[3760] Speed: 64.332897 samples/sec accuracy=44.864035 loss=2.389645 lr=0.072021 Epoch[092] Batch [2899]/[3760] Speed: 64.578668 samples/sec accuracy=44.869073 loss=2.389865 lr=0.072008 Epoch[092] Batch [2949]/[3760] Speed: 63.507182 samples/sec accuracy=44.878708 loss=2.390227 lr=0.071995 Epoch[092] Batch [2999]/[3760] Speed: 64.265254 samples/sec accuracy=44.904167 loss=2.389519 lr=0.071982 Epoch[092] Batch [3049]/[3760] Speed: 64.324736 samples/sec accuracy=44.860656 loss=2.390835 lr=0.071970 Epoch[092] Batch [3099]/[3760] Speed: 64.110237 samples/sec accuracy=44.862399 loss=2.391004 lr=0.071957 Epoch[092] Batch [3149]/[3760] Speed: 64.109484 samples/sec accuracy=44.861607 loss=2.390875 lr=0.071944 Epoch[092] Batch [3199]/[3760] Speed: 64.400587 samples/sec accuracy=44.849121 loss=2.390800 lr=0.071932 Epoch[092] Batch [3249]/[3760] Speed: 63.857085 samples/sec accuracy=44.847596 loss=2.390963 lr=0.071919 Epoch[092] Batch [3299]/[3760] Speed: 64.312145 samples/sec accuracy=44.872159 loss=2.390189 lr=0.071906 Epoch[092] Batch [3349]/[3760] Speed: 64.511907 samples/sec accuracy=44.868470 loss=2.389740 lr=0.071893 Epoch[092] Batch [3399]/[3760] Speed: 63.800396 samples/sec accuracy=44.829504 loss=2.390926 lr=0.071881 Epoch[092] Batch [3449]/[3760] Speed: 64.143962 samples/sec accuracy=44.820199 loss=2.391572 lr=0.071868 Epoch[092] Batch [3499]/[3760] Speed: 64.512067 samples/sec accuracy=44.808929 loss=2.392129 lr=0.071855 Epoch[092] Batch [3549]/[3760] Speed: 63.534683 samples/sec accuracy=44.800616 loss=2.392860 lr=0.071843 Epoch[092] Batch [3599]/[3760] Speed: 64.784662 samples/sec accuracy=44.794271 loss=2.392341 lr=0.071830 Epoch[092] Batch [3649]/[3760] Speed: 64.600417 samples/sec accuracy=44.781678 loss=2.392833 lr=0.071817 Epoch[092] Batch [3699]/[3760] Speed: 63.734224 samples/sec accuracy=44.779139 loss=2.393332 lr=0.071804 Epoch[092] Batch [3749]/[3760] Speed: 68.046477 samples/sec accuracy=44.785833 loss=2.392875 lr=0.071792 Batch [0049]/[0303]: acc-top1=44.937500 acc-top5=72.156250 Batch [0099]/[0303]: acc-top1=45.062500 acc-top5=72.109375 Batch [0149]/[0303]: acc-top1=44.989583 acc-top5=72.260417 Batch [0199]/[0303]: acc-top1=45.031250 acc-top5=72.226562 Batch [0249]/[0303]: acc-top1=45.275000 acc-top5=72.400000 Batch [0299]/[0303]: acc-top1=45.380208 acc-top5=72.354167 [Epoch 092] training: accuracy=44.793883 loss=2.392772 [Epoch 092] speed: 63 samples/sec time cost: 4051.469951 [Epoch 092] validation: acc-top1=45.384695 acc-top5=72.339109 loss=2.507274 Epoch[093] Batch [0049]/[3759] Speed: 42.128414 samples/sec accuracy=45.906250 loss=2.352804 lr=0.071776 Epoch[093] Batch [0099]/[3759] Speed: 62.414032 samples/sec accuracy=45.828125 loss=2.347702 lr=0.071764 Epoch[093] Batch [0149]/[3759] Speed: 63.917092 samples/sec accuracy=45.843750 loss=2.353630 lr=0.071751 Epoch[093] Batch [0199]/[3759] Speed: 63.957072 samples/sec accuracy=46.078125 loss=2.341659 lr=0.071738 Epoch[093] Batch [0249]/[3759] Speed: 63.993107 samples/sec accuracy=45.756250 loss=2.351148 lr=0.071725 Epoch[093] Batch [0299]/[3759] Speed: 64.403968 samples/sec accuracy=45.562500 loss=2.354144 lr=0.071713 Epoch[093] Batch [0349]/[3759] Speed: 64.634444 samples/sec accuracy=45.500000 loss=2.351727 lr=0.071700 Epoch[093] Batch [0399]/[3759] Speed: 63.973680 samples/sec accuracy=45.667969 loss=2.347801 lr=0.071687 Epoch[093] Batch [0449]/[3759] Speed: 64.443845 samples/sec accuracy=45.572917 loss=2.351130 lr=0.071675 Epoch[093] Batch [0499]/[3759] Speed: 64.131055 samples/sec accuracy=45.534375 loss=2.351564 lr=0.071662 Epoch[093] Batch [0549]/[3759] Speed: 63.950093 samples/sec accuracy=45.375000 loss=2.357544 lr=0.071649 Epoch[093] Batch [0599]/[3759] Speed: 64.559286 samples/sec accuracy=45.354167 loss=2.358026 lr=0.071636 Epoch[093] Batch [0649]/[3759] Speed: 64.788846 samples/sec accuracy=45.288462 loss=2.361857 lr=0.071624 Epoch[093] Batch [0699]/[3759] Speed: 63.584477 samples/sec accuracy=45.388393 loss=2.358869 lr=0.071611 Epoch[093] Batch [0749]/[3759] Speed: 64.732220 samples/sec accuracy=45.410417 loss=2.361094 lr=0.071598 Epoch[093] Batch [0799]/[3759] Speed: 64.516719 samples/sec accuracy=45.412109 loss=2.361792 lr=0.071585 Epoch[093] Batch [0849]/[3759] Speed: 63.533289 samples/sec accuracy=45.437500 loss=2.362189 lr=0.071573 Epoch[093] Batch [0899]/[3759] Speed: 64.805431 samples/sec accuracy=45.513889 loss=2.359432 lr=0.071560 Epoch[093] Batch [0949]/[3759] Speed: 64.526727 samples/sec accuracy=45.521382 loss=2.360003 lr=0.071547 Epoch[093] Batch [0999]/[3759] Speed: 63.645258 samples/sec accuracy=45.460938 loss=2.362611 lr=0.071534 Epoch[093] Batch [1049]/[3759] Speed: 65.003742 samples/sec accuracy=45.543155 loss=2.360863 lr=0.071522 Epoch[093] Batch [1099]/[3759] Speed: 64.185890 samples/sec accuracy=45.492898 loss=2.364934 lr=0.071509 Epoch[093] Batch [1149]/[3759] Speed: 63.507468 samples/sec accuracy=45.493207 loss=2.364723 lr=0.071496 Epoch[093] Batch [1199]/[3759] Speed: 64.587409 samples/sec accuracy=45.449219 loss=2.365777 lr=0.071483 Epoch[093] Batch [1249]/[3759] Speed: 64.295669 samples/sec accuracy=45.408750 loss=2.366930 lr=0.071471 Epoch[093] Batch [1299]/[3759] Speed: 63.778766 samples/sec accuracy=45.405048 loss=2.367239 lr=0.071458 Epoch[093] Batch [1349]/[3759] Speed: 64.743676 samples/sec accuracy=45.394676 loss=2.366626 lr=0.071445 Epoch[093] Batch [1399]/[3759] Speed: 64.401281 samples/sec accuracy=45.373884 loss=2.368181 lr=0.071432 Epoch[093] Batch [1449]/[3759] Speed: 63.411404 samples/sec accuracy=45.310345 loss=2.370401 lr=0.071420 Epoch[093] Batch [1499]/[3759] Speed: 64.911136 samples/sec accuracy=45.296875 loss=2.371059 lr=0.071407 Epoch[093] Batch [1549]/[3759] Speed: 64.601099 samples/sec accuracy=45.285282 loss=2.371672 lr=0.071394 Epoch[093] Batch [1599]/[3759] Speed: 64.469331 samples/sec accuracy=45.250000 loss=2.373772 lr=0.071381 Epoch[093] Batch [1649]/[3759] Speed: 63.957195 samples/sec accuracy=45.299242 loss=2.372890 lr=0.071369 Epoch[093] Batch [1699]/[3759] Speed: 64.708725 samples/sec accuracy=45.312500 loss=2.371244 lr=0.071356 Epoch[093] Batch [1749]/[3759] Speed: 64.362368 samples/sec accuracy=45.266964 loss=2.372657 lr=0.071343 Epoch[093] Batch [1799]/[3759] Speed: 64.043682 samples/sec accuracy=45.288194 loss=2.372098 lr=0.071330 Epoch[093] Batch [1849]/[3759] Speed: 64.533645 samples/sec accuracy=45.277872 loss=2.371676 lr=0.071318 Epoch[093] Batch [1899]/[3759] Speed: 64.499484 samples/sec accuracy=45.273026 loss=2.372131 lr=0.071305 Epoch[093] Batch [1949]/[3759] Speed: 64.178761 samples/sec accuracy=45.307692 loss=2.370620 lr=0.071292 Epoch[093] Batch [1999]/[3759] Speed: 64.099537 samples/sec accuracy=45.275781 loss=2.371689 lr=0.071279 Epoch[093] Batch [2049]/[3759] Speed: 64.505163 samples/sec accuracy=45.272104 loss=2.372888 lr=0.071267 Epoch[093] Batch [2099]/[3759] Speed: 64.296792 samples/sec accuracy=45.258185 loss=2.373789 lr=0.071254 Epoch[093] Batch [2149]/[3759] Speed: 64.311476 samples/sec accuracy=45.260174 loss=2.374783 lr=0.071241 Epoch[093] Batch [2199]/[3759] Speed: 64.351693 samples/sec accuracy=45.272727 loss=2.374063 lr=0.071228 Epoch[093] Batch [2249]/[3759] Speed: 63.817054 samples/sec accuracy=45.304861 loss=2.372874 lr=0.071216 Epoch[093] Batch [2299]/[3759] Speed: 64.416745 samples/sec accuracy=45.300951 loss=2.373048 lr=0.071203 Epoch[093] Batch [2349]/[3759] Speed: 64.309858 samples/sec accuracy=45.310505 loss=2.372690 lr=0.071190 Epoch[093] Batch [2399]/[3759] Speed: 64.112972 samples/sec accuracy=45.317708 loss=2.372283 lr=0.071177 Epoch[093] Batch [2449]/[3759] Speed: 64.265323 samples/sec accuracy=45.330995 loss=2.371503 lr=0.071164 Epoch[093] Batch [2499]/[3759] Speed: 64.312074 samples/sec accuracy=45.331875 loss=2.370845 lr=0.071152 Epoch[093] Batch [2549]/[3759] Speed: 64.048720 samples/sec accuracy=45.319240 loss=2.371408 lr=0.071139 Epoch[093] Batch [2599]/[3759] Speed: 64.337846 samples/sec accuracy=45.301683 loss=2.372516 lr=0.071126 Epoch[093] Batch [2649]/[3759] Speed: 64.700448 samples/sec accuracy=45.290684 loss=2.373720 lr=0.071113 Epoch[093] Batch [2699]/[3759] Speed: 63.476600 samples/sec accuracy=45.254630 loss=2.374212 lr=0.071101 Epoch[093] Batch [2749]/[3759] Speed: 64.422585 samples/sec accuracy=45.267614 loss=2.374884 lr=0.071088 Epoch[093] Batch [2799]/[3759] Speed: 64.860616 samples/sec accuracy=45.241629 loss=2.376062 lr=0.071075 Epoch[093] Batch [2849]/[3759] Speed: 63.313732 samples/sec accuracy=45.221491 loss=2.376771 lr=0.071062 Epoch[093] Batch [2899]/[3759] Speed: 64.801287 samples/sec accuracy=45.235453 loss=2.376606 lr=0.071049 Epoch[093] Batch [2949]/[3759] Speed: 64.230390 samples/sec accuracy=45.221928 loss=2.376436 lr=0.071037 Epoch[093] Batch [2999]/[3759] Speed: 63.343178 samples/sec accuracy=45.230729 loss=2.376643 lr=0.071024 Epoch[093] Batch [3049]/[3759] Speed: 64.617024 samples/sec accuracy=45.217213 loss=2.377410 lr=0.071011 Epoch[093] Batch [3099]/[3759] Speed: 64.523320 samples/sec accuracy=45.212198 loss=2.377633 lr=0.070998 Epoch[093] Batch [3149]/[3759] Speed: 63.169019 samples/sec accuracy=45.196429 loss=2.377866 lr=0.070986 Epoch[093] Batch [3199]/[3759] Speed: 65.016416 samples/sec accuracy=45.191895 loss=2.377723 lr=0.070973 Epoch[093] Batch [3249]/[3759] Speed: 64.579177 samples/sec accuracy=45.158654 loss=2.378919 lr=0.070960 Epoch[093] Batch [3299]/[3759] Speed: 64.435671 samples/sec accuracy=45.190814 loss=2.377640 lr=0.070947 Epoch[093] Batch [3349]/[3759] Speed: 63.434977 samples/sec accuracy=45.174907 loss=2.378937 lr=0.070934 Epoch[093] Batch [3399]/[3759] Speed: 64.290271 samples/sec accuracy=45.174632 loss=2.379356 lr=0.070922 Epoch[093] Batch [3449]/[3759] Speed: 64.395938 samples/sec accuracy=45.138587 loss=2.379989 lr=0.070909 Epoch[093] Batch [3499]/[3759] Speed: 63.748484 samples/sec accuracy=45.116071 loss=2.380509 lr=0.070896 Epoch[093] Batch [3549]/[3759] Speed: 64.442413 samples/sec accuracy=45.125000 loss=2.380735 lr=0.070883 Epoch[093] Batch [3599]/[3759] Speed: 64.422412 samples/sec accuracy=45.118056 loss=2.380853 lr=0.070870 Epoch[093] Batch [3649]/[3759] Speed: 63.846796 samples/sec accuracy=45.116866 loss=2.381975 lr=0.070858 Epoch[093] Batch [3699]/[3759] Speed: 64.105361 samples/sec accuracy=45.111909 loss=2.382417 lr=0.070845 Epoch[093] Batch [3749]/[3759] Speed: 67.940086 samples/sec accuracy=45.091667 loss=2.383208 lr=0.070832 Batch [0049]/[0303]: acc-top1=43.375000 acc-top5=70.031250 Batch [0099]/[0303]: acc-top1=43.781250 acc-top5=69.953125 Batch [0149]/[0303]: acc-top1=43.239583 acc-top5=70.145833 Batch [0199]/[0303]: acc-top1=43.335938 acc-top5=70.109375 Batch [0249]/[0303]: acc-top1=43.531250 acc-top5=70.325000 Batch [0299]/[0303]: acc-top1=43.817708 acc-top5=70.385417 [Epoch 093] training: accuracy=45.090948 loss=2.383210 [Epoch 093] speed: 63 samples/sec time cost: 4046.408837 [Epoch 093] validation: acc-top1=43.853135 acc-top5=70.348597 loss=2.764729 Epoch[094] Batch [0049]/[3760] Speed: 41.786346 samples/sec accuracy=46.031250 loss=2.292062 lr=0.070817 Epoch[094] Batch [0099]/[3760] Speed: 62.483095 samples/sec accuracy=46.265625 loss=2.323082 lr=0.070804 Epoch[094] Batch [0149]/[3760] Speed: 64.239630 samples/sec accuracy=46.552083 loss=2.313807 lr=0.070791 Epoch[094] Batch [0199]/[3760] Speed: 63.054587 samples/sec accuracy=46.101562 loss=2.327091 lr=0.070779 Epoch[094] Batch [0249]/[3760] Speed: 64.707738 samples/sec accuracy=46.331250 loss=2.328559 lr=0.070766 Epoch[094] Batch [0299]/[3760] Speed: 63.686856 samples/sec accuracy=46.328125 loss=2.331917 lr=0.070753 Epoch[094] Batch [0349]/[3760] Speed: 64.052833 samples/sec accuracy=46.241071 loss=2.331772 lr=0.070740 Epoch[094] Batch [0399]/[3760] Speed: 63.988638 samples/sec accuracy=46.171875 loss=2.335061 lr=0.070727 Epoch[094] Batch [0449]/[3760] Speed: 64.445341 samples/sec accuracy=45.996528 loss=2.339951 lr=0.070715 Epoch[094] Batch 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accuracy=45.730263 loss=2.355155 lr=0.070586 Epoch[094] Batch [0999]/[3760] Speed: 64.127310 samples/sec accuracy=45.707813 loss=2.355945 lr=0.070574 Epoch[094] Batch [1049]/[3760] Speed: 64.168899 samples/sec accuracy=45.714286 loss=2.356216 lr=0.070561 Epoch[094] Batch [1099]/[3760] Speed: 63.524046 samples/sec accuracy=45.674716 loss=2.356925 lr=0.070548 Epoch[094] Batch [1149]/[3760] Speed: 64.631837 samples/sec accuracy=45.658967 loss=2.356527 lr=0.070535 Epoch[094] Batch [1199]/[3760] Speed: 64.610587 samples/sec accuracy=45.664062 loss=2.356865 lr=0.070522 Epoch[094] Batch [1249]/[3760] Speed: 63.429386 samples/sec accuracy=45.666250 loss=2.359343 lr=0.070510 Epoch[094] Batch [1299]/[3760] Speed: 64.752653 samples/sec accuracy=45.591346 loss=2.360695 lr=0.070497 Epoch[094] Batch [1349]/[3760] Speed: 64.769072 samples/sec accuracy=45.584491 loss=2.361548 lr=0.070484 Epoch[094] Batch [1399]/[3760] Speed: 63.624446 samples/sec accuracy=45.517857 loss=2.364499 lr=0.070471 Epoch[094] Batch [1449]/[3760] Speed: 64.588580 samples/sec accuracy=45.509698 loss=2.364858 lr=0.070458 Epoch[094] Batch [1499]/[3760] Speed: 64.435377 samples/sec accuracy=45.496875 loss=2.364092 lr=0.070445 Epoch[094] Batch [1549]/[3760] Speed: 63.433826 samples/sec accuracy=45.488911 loss=2.363617 lr=0.070433 Epoch[094] Batch [1599]/[3760] Speed: 65.099269 samples/sec accuracy=45.455078 loss=2.364438 lr=0.070420 Epoch[094] Batch [1649]/[3760] Speed: 64.361307 samples/sec accuracy=45.455492 loss=2.364575 lr=0.070407 Epoch[094] Batch [1699]/[3760] Speed: 64.748982 samples/sec accuracy=45.401654 loss=2.366951 lr=0.070394 Epoch[094] Batch [1749]/[3760] Speed: 63.582906 samples/sec accuracy=45.392857 loss=2.366988 lr=0.070381 Epoch[094] Batch [1799]/[3760] Speed: 64.292152 samples/sec accuracy=45.427083 loss=2.365644 lr=0.070368 Epoch[094] Batch [1849]/[3760] Speed: 64.367186 samples/sec accuracy=45.364020 loss=2.367430 lr=0.070356 Epoch[094] Batch [1899]/[3760] Speed: 64.141520 samples/sec accuracy=45.322368 loss=2.369428 lr=0.070343 Epoch[094] Batch [1949]/[3760] Speed: 63.854152 samples/sec accuracy=45.296474 loss=2.368671 lr=0.070330 Epoch[094] Batch [1999]/[3760] Speed: 64.310254 samples/sec accuracy=45.279688 loss=2.370123 lr=0.070317 Epoch[094] Batch [2049]/[3760] Speed: 64.221153 samples/sec accuracy=45.253811 loss=2.371336 lr=0.070304 Epoch[094] Batch [2099]/[3760] Speed: 64.418970 samples/sec accuracy=45.273065 loss=2.370441 lr=0.070291 Epoch[094] Batch [2149]/[3760] Speed: 64.130834 samples/sec accuracy=45.275436 loss=2.369496 lr=0.070279 Epoch[094] Batch [2199]/[3760] Speed: 64.145031 samples/sec accuracy=45.296875 loss=2.368682 lr=0.070266 Epoch[094] Batch [2249]/[3760] Speed: 64.766333 samples/sec accuracy=45.281250 loss=2.369940 lr=0.070253 Epoch[094] Batch [2299]/[3760] Speed: 64.495330 samples/sec accuracy=45.218071 loss=2.372233 lr=0.070240 Epoch[094] Batch [2349]/[3760] Speed: 63.681243 samples/sec accuracy=45.203457 loss=2.371739 lr=0.070227 Epoch[094] Batch [2399]/[3760] Speed: 64.613281 samples/sec accuracy=45.185547 loss=2.372513 lr=0.070214 Epoch[094] Batch [2449]/[3760] Speed: 64.204395 samples/sec accuracy=45.167092 loss=2.372809 lr=0.070202 Epoch[094] Batch [2499]/[3760] Speed: 64.310154 samples/sec accuracy=45.149375 loss=2.372535 lr=0.070189 Epoch[094] Batch [2549]/[3760] Speed: 64.074139 samples/sec accuracy=45.156863 loss=2.371517 lr=0.070176 Epoch[094] Batch [2599]/[3760] Speed: 64.831111 samples/sec accuracy=45.150841 loss=2.371497 lr=0.070163 Epoch[094] Batch [2649]/[3760] Speed: 63.407229 samples/sec accuracy=45.160967 loss=2.371626 lr=0.070150 Epoch[094] Batch [2699]/[3760] Speed: 64.896197 samples/sec accuracy=45.133681 loss=2.372726 lr=0.070137 Epoch[094] Batch [2749]/[3760] Speed: 64.046516 samples/sec accuracy=45.112500 loss=2.373116 lr=0.070125 Epoch[094] Batch [2799]/[3760] Speed: 64.243623 samples/sec accuracy=45.131138 loss=2.372863 lr=0.070112 Epoch[094] Batch [2849]/[3760] Speed: 64.539708 samples/sec accuracy=45.141996 loss=2.372900 lr=0.070099 Epoch[094] Batch [2899]/[3760] Speed: 64.240666 samples/sec accuracy=45.163254 loss=2.372574 lr=0.070086 Epoch[094] Batch [2949]/[3760] Speed: 63.423643 samples/sec accuracy=45.149894 loss=2.373184 lr=0.070073 Epoch[094] Batch [2999]/[3760] Speed: 65.211241 samples/sec accuracy=45.134375 loss=2.374375 lr=0.070060 Epoch[094] Batch [3049]/[3760] Speed: 63.783442 samples/sec accuracy=45.153689 loss=2.373997 lr=0.070047 Epoch[094] Batch [3099]/[3760] Speed: 64.684641 samples/sec accuracy=45.131048 loss=2.374884 lr=0.070035 Epoch[094] Batch [3149]/[3760] Speed: 63.738674 samples/sec accuracy=45.107639 loss=2.376203 lr=0.070022 Epoch[094] Batch [3199]/[3760] Speed: 64.354326 samples/sec accuracy=45.105469 loss=2.376341 lr=0.070009 Epoch[094] Batch [3249]/[3760] Speed: 64.135823 samples/sec accuracy=45.124038 loss=2.375314 lr=0.069996 Epoch[094] Batch [3299]/[3760] Speed: 64.396312 samples/sec accuracy=45.112689 loss=2.375963 lr=0.069983 Epoch[094] Batch [3349]/[3760] Speed: 64.305886 samples/sec accuracy=45.123601 loss=2.375978 lr=0.069970 Epoch[094] Batch [3399]/[3760] Speed: 64.370527 samples/sec accuracy=45.130515 loss=2.376054 lr=0.069957 Epoch[094] Batch [3449]/[3760] Speed: 64.025623 samples/sec accuracy=45.120018 loss=2.376405 lr=0.069945 Epoch[094] Batch [3499]/[3760] Speed: 64.352627 samples/sec accuracy=45.120982 loss=2.376273 lr=0.069932 Epoch[094] Batch [3549]/[3760] Speed: 64.675156 samples/sec accuracy=45.102993 loss=2.377721 lr=0.069919 Epoch[094] Batch [3599]/[3760] Speed: 63.702625 samples/sec accuracy=45.118924 loss=2.376916 lr=0.069906 Epoch[094] Batch [3649]/[3760] Speed: 64.314854 samples/sec accuracy=45.114298 loss=2.377533 lr=0.069893 Epoch[094] Batch [3699]/[3760] Speed: 64.524126 samples/sec accuracy=45.105574 loss=2.378011 lr=0.069880 Epoch[094] Batch [3749]/[3760] Speed: 67.557724 samples/sec accuracy=45.093750 loss=2.378228 lr=0.069867 Batch [0049]/[0303]: acc-top1=43.937500 acc-top5=70.687500 Batch [0099]/[0303]: acc-top1=43.796875 acc-top5=70.453125 Batch [0149]/[0303]: acc-top1=43.791667 acc-top5=70.510417 Batch [0199]/[0303]: acc-top1=43.953125 acc-top5=70.476562 Batch [0249]/[0303]: acc-top1=43.818750 acc-top5=70.681250 Batch [0299]/[0303]: acc-top1=43.875000 acc-top5=70.468750 [Epoch 094] training: accuracy=45.085605 loss=2.378600 [Epoch 094] speed: 63 samples/sec time cost: 4050.016656 [Epoch 094] validation: acc-top1=43.884076 acc-top5=70.477517 loss=2.740603 Epoch[095] Batch [0049]/[3760] Speed: 41.960917 samples/sec accuracy=45.250000 loss=2.324472 lr=0.069852 Epoch[095] Batch [0099]/[3760] Speed: 62.436000 samples/sec accuracy=45.656250 loss=2.333441 lr=0.069839 Epoch[095] Batch [0149]/[3760] Speed: 63.677772 samples/sec accuracy=45.687500 loss=2.334948 lr=0.069826 Epoch[095] Batch [0199]/[3760] Speed: 64.129373 samples/sec accuracy=45.921875 loss=2.325753 lr=0.069813 Epoch[095] Batch [0249]/[3760] Speed: 64.905036 samples/sec accuracy=45.950000 loss=2.330489 lr=0.069800 Epoch[095] Batch [0299]/[3760] Speed: 63.781516 samples/sec accuracy=45.994792 loss=2.331785 lr=0.069788 Epoch[095] Batch [0349]/[3760] Speed: 64.329723 samples/sec accuracy=46.058036 loss=2.333975 lr=0.069775 Epoch[095] Batch [0399]/[3760] Speed: 64.377911 samples/sec accuracy=45.917969 loss=2.337567 lr=0.069762 Epoch[095] Batch [0449]/[3760] Speed: 63.457965 samples/sec accuracy=45.961806 loss=2.336192 lr=0.069749 Epoch[095] Batch [0499]/[3760] Speed: 64.942909 samples/sec accuracy=46.012500 loss=2.334219 lr=0.069736 Epoch[095] Batch [0549]/[3760] Speed: 64.207516 samples/sec accuracy=45.954545 loss=2.332883 lr=0.069723 Epoch[095] Batch [0599]/[3760] Speed: 63.961349 samples/sec accuracy=46.052083 loss=2.331024 lr=0.069710 Epoch[095] Batch [0649]/[3760] Speed: 64.531672 samples/sec accuracy=45.987981 loss=2.333062 lr=0.069697 Epoch[095] Batch [0699]/[3760] Speed: 64.210838 samples/sec accuracy=45.886161 loss=2.335896 lr=0.069685 Epoch[095] Batch [0749]/[3760] Speed: 64.083416 samples/sec accuracy=45.829167 loss=2.337314 lr=0.069672 Epoch[095] Batch [0799]/[3760] Speed: 64.110218 samples/sec accuracy=45.814453 loss=2.341057 lr=0.069659 Epoch[095] Batch [0849]/[3760] Speed: 64.516719 samples/sec accuracy=45.832721 loss=2.341028 lr=0.069646 Epoch[095] Batch [0899]/[3760] Speed: 63.234358 samples/sec accuracy=45.727431 loss=2.347118 lr=0.069633 Epoch[095] Batch [0949]/[3760] Speed: 64.936558 samples/sec accuracy=45.708882 loss=2.348215 lr=0.069620 Epoch[095] Batch [0999]/[3760] Speed: 64.295090 samples/sec accuracy=45.757812 loss=2.345679 lr=0.069607 Epoch[095] Batch [1049]/[3760] Speed: 64.361658 samples/sec accuracy=45.717262 loss=2.346827 lr=0.069594 Epoch[095] Batch [1099]/[3760] Speed: 63.925390 samples/sec accuracy=45.690341 loss=2.350507 lr=0.069582 Epoch[095] Batch [1149]/[3760] Speed: 64.093720 samples/sec accuracy=45.764946 loss=2.345992 lr=0.069569 Epoch[095] Batch [1199]/[3760] Speed: 64.503898 samples/sec accuracy=45.785156 loss=2.345999 lr=0.069556 Epoch[095] Batch [1249]/[3760] Speed: 63.717683 samples/sec accuracy=45.750000 loss=2.346889 lr=0.069543 Epoch[095] Batch [1299]/[3760] Speed: 64.660585 samples/sec accuracy=45.736779 loss=2.346758 lr=0.069530 Epoch[095] Batch [1349]/[3760] Speed: 64.414087 samples/sec accuracy=45.739583 loss=2.348130 lr=0.069517 Epoch[095] Batch [1399]/[3760] Speed: 63.617380 samples/sec accuracy=45.694196 loss=2.349241 lr=0.069504 Epoch[095] Batch [1449]/[3760] Speed: 64.974757 samples/sec accuracy=45.646552 loss=2.351055 lr=0.069491 Epoch[095] Batch [1499]/[3760] Speed: 64.599386 samples/sec accuracy=45.580208 loss=2.351530 lr=0.069478 Epoch[095] Batch [1549]/[3760] Speed: 63.749338 samples/sec accuracy=45.576613 loss=2.351950 lr=0.069466 Epoch[095] Batch [1599]/[3760] Speed: 64.485901 samples/sec accuracy=45.594727 loss=2.351852 lr=0.069453 Epoch[095] Batch [1649]/[3760] Speed: 64.130743 samples/sec accuracy=45.577652 loss=2.352485 lr=0.069440 Epoch[095] Batch [1699]/[3760] Speed: 64.163709 samples/sec accuracy=45.574449 loss=2.352741 lr=0.069427 Epoch[095] Batch [1749]/[3760] Speed: 64.164135 samples/sec accuracy=45.559821 loss=2.352892 lr=0.069414 Epoch[095] Batch [1799]/[3760] Speed: 64.585479 samples/sec accuracy=45.529514 loss=2.353909 lr=0.069401 Epoch[095] Batch [1849]/[3760] Speed: 63.930471 samples/sec accuracy=45.524493 loss=2.355001 lr=0.069388 Epoch[095] Batch [1899]/[3760] Speed: 64.923349 samples/sec accuracy=45.542763 loss=2.354872 lr=0.069375 Epoch[095] Batch [1949]/[3760] Speed: 64.360767 samples/sec accuracy=45.508013 loss=2.356621 lr=0.069362 Epoch[095] Batch [1999]/[3760] Speed: 63.825569 samples/sec accuracy=45.477344 loss=2.358369 lr=0.069350 Epoch[095] Batch [2049]/[3760] Speed: 65.015603 samples/sec accuracy=45.482470 loss=2.357532 lr=0.069337 Epoch[095] Batch [2099]/[3760] Speed: 64.256838 samples/sec accuracy=45.493304 loss=2.357786 lr=0.069324 Epoch[095] Batch [2149]/[3760] Speed: 63.288176 samples/sec accuracy=45.457849 loss=2.359103 lr=0.069311 Epoch[095] Batch [2199]/[3760] Speed: 65.347161 samples/sec accuracy=45.456676 loss=2.359389 lr=0.069298 Epoch[095] Batch [2249]/[3760] Speed: 64.369751 samples/sec accuracy=45.453472 loss=2.359735 lr=0.069285 Epoch[095] Batch [2299]/[3760] Speed: 64.641909 samples/sec accuracy=45.461277 loss=2.359466 lr=0.069272 Epoch[095] Batch [2349]/[3760] Speed: 63.629136 samples/sec accuracy=45.487367 loss=2.358551 lr=0.069259 Epoch[095] Batch [2399]/[3760] Speed: 64.326500 samples/sec accuracy=45.476562 loss=2.358955 lr=0.069246 Epoch[095] Batch [2449]/[3760] Speed: 64.389466 samples/sec accuracy=45.495536 loss=2.357714 lr=0.069233 Epoch[095] Batch [2499]/[3760] Speed: 64.108712 samples/sec accuracy=45.429375 loss=2.359745 lr=0.069220 Epoch[095] Batch [2549]/[3760] Speed: 64.405426 samples/sec accuracy=45.427696 loss=2.359476 lr=0.069208 Epoch[095] Batch [2599]/[3760] Speed: 64.515827 samples/sec accuracy=45.396635 loss=2.362033 lr=0.069195 Epoch[095] Batch [2649]/[3760] Speed: 64.146647 samples/sec accuracy=45.375590 loss=2.363769 lr=0.069182 Epoch[095] Batch [2699]/[3760] Speed: 63.950859 samples/sec accuracy=45.394097 loss=2.362765 lr=0.069169 Epoch[095] Batch [2749]/[3760] Speed: 64.479790 samples/sec accuracy=45.386364 loss=2.362697 lr=0.069156 Epoch[095] Batch [2799]/[3760] Speed: 63.904865 samples/sec accuracy=45.387277 loss=2.363676 lr=0.069143 Epoch[095] Batch [2849]/[3760] Speed: 64.189218 samples/sec accuracy=45.387610 loss=2.363707 lr=0.069130 Epoch[095] Batch [2899]/[3760] Speed: 64.612603 samples/sec accuracy=45.415948 loss=2.363404 lr=0.069117 Epoch[095] Batch [2949]/[3760] Speed: 63.182563 samples/sec accuracy=45.394068 loss=2.364266 lr=0.069104 Epoch[095] Batch [2999]/[3760] Speed: 64.756442 samples/sec accuracy=45.394792 loss=2.364971 lr=0.069091 Epoch[095] Batch [3049]/[3760] Speed: 63.840690 samples/sec accuracy=45.402152 loss=2.364807 lr=0.069078 Epoch[095] Batch [3099]/[3760] Speed: 64.132895 samples/sec accuracy=45.399194 loss=2.364855 lr=0.069066 Epoch[095] Batch [3149]/[3760] Speed: 64.478731 samples/sec accuracy=45.425099 loss=2.364053 lr=0.069053 Epoch[095] Batch [3199]/[3760] Speed: 64.270573 samples/sec accuracy=45.405762 loss=2.364982 lr=0.069040 Epoch[095] Batch [3249]/[3760] Speed: 64.412648 samples/sec accuracy=45.422596 loss=2.364789 lr=0.069027 Epoch[095] Batch [3299]/[3760] Speed: 63.768130 samples/sec accuracy=45.414299 loss=2.365176 lr=0.069014 Epoch[095] Batch [3349]/[3760] Speed: 64.501049 samples/sec accuracy=45.410448 loss=2.365429 lr=0.069001 Epoch[095] Batch [3399]/[3760] Speed: 64.477124 samples/sec accuracy=45.403493 loss=2.366140 lr=0.068988 Epoch[095] Batch [3449]/[3760] Speed: 64.128827 samples/sec accuracy=45.402627 loss=2.366668 lr=0.068975 Epoch[095] Batch [3499]/[3760] Speed: 64.691021 samples/sec accuracy=45.380804 loss=2.367564 lr=0.068962 Epoch[095] Batch [3549]/[3760] Speed: 64.419592 samples/sec accuracy=45.399208 loss=2.367169 lr=0.068949 Epoch[095] Batch [3599]/[3760] Speed: 64.156797 samples/sec accuracy=45.381076 loss=2.367723 lr=0.068936 Epoch[095] Batch [3649]/[3760] Speed: 64.355719 samples/sec accuracy=45.384846 loss=2.368128 lr=0.068923 Epoch[095] Batch [3699]/[3760] Speed: 64.397101 samples/sec accuracy=45.387247 loss=2.368224 lr=0.068910 Epoch[095] Batch [3749]/[3760] Speed: 66.788816 samples/sec accuracy=45.369167 loss=2.368492 lr=0.068898 Batch [0049]/[0303]: acc-top1=44.593750 acc-top5=71.718750 Batch [0099]/[0303]: acc-top1=44.375000 acc-top5=71.796875 Batch [0149]/[0303]: acc-top1=44.885417 acc-top5=71.572917 Batch [0199]/[0303]: acc-top1=45.023438 acc-top5=71.734375 Batch [0249]/[0303]: acc-top1=45.175000 acc-top5=71.756250 Batch [0299]/[0303]: acc-top1=45.161458 acc-top5=71.697917 [Epoch 095] training: accuracy=45.373587 loss=2.368257 [Epoch 095] speed: 63 samples/sec time cost: 4049.172323 [Epoch 095] validation: acc-top1=45.224835 acc-top5=71.694513 loss=2.659083 Epoch[096] Batch [0049]/[3759] Speed: 42.188378 samples/sec accuracy=46.718750 loss=2.254315 lr=0.068882 Epoch[096] Batch [0099]/[3759] Speed: 63.017752 samples/sec accuracy=46.640625 loss=2.257429 lr=0.068869 Epoch[096] Batch [0149]/[3759] Speed: 64.100803 samples/sec accuracy=46.947917 loss=2.268152 lr=0.068856 Epoch[096] Batch [0199]/[3759] Speed: 64.181946 samples/sec accuracy=46.750000 loss=2.283891 lr=0.068843 Epoch[096] Batch [0249]/[3759] Speed: 64.772313 samples/sec accuracy=46.568750 loss=2.295289 lr=0.068830 Epoch[096] Batch [0299]/[3759] Speed: 63.659688 samples/sec accuracy=46.302083 loss=2.307916 lr=0.068817 Epoch[096] Batch [0349]/[3759] Speed: 64.467054 samples/sec accuracy=46.299107 loss=2.315026 lr=0.068804 Epoch[096] Batch [0399]/[3759] Speed: 64.007490 samples/sec accuracy=46.140625 loss=2.318751 lr=0.068791 Epoch[096] Batch [0449]/[3759] Speed: 63.500533 samples/sec accuracy=46.281250 loss=2.314251 lr=0.068779 Epoch[096] Batch [0499]/[3759] Speed: 64.644323 samples/sec accuracy=46.206250 loss=2.317221 lr=0.068766 Epoch[096] 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accuracy=45.745313 loss=2.340304 lr=0.068636 Epoch[096] Batch [1049]/[3759] Speed: 64.370152 samples/sec accuracy=45.766369 loss=2.340635 lr=0.068623 Epoch[096] Batch [1099]/[3759] Speed: 64.500836 samples/sec accuracy=45.761364 loss=2.341608 lr=0.068610 Epoch[096] Batch [1149]/[3759] Speed: 64.562035 samples/sec accuracy=45.800272 loss=2.339490 lr=0.068597 Epoch[096] Batch [1199]/[3759] Speed: 64.270687 samples/sec accuracy=45.776042 loss=2.340801 lr=0.068584 Epoch[096] Batch [1249]/[3759] Speed: 64.477762 samples/sec accuracy=45.738750 loss=2.343998 lr=0.068571 Epoch[096] Batch [1299]/[3759] Speed: 64.305496 samples/sec accuracy=45.754808 loss=2.344749 lr=0.068559 Epoch[096] Batch [1349]/[3759] Speed: 64.419504 samples/sec accuracy=45.750000 loss=2.344268 lr=0.068546 Epoch[096] Batch [1399]/[3759] Speed: 63.897587 samples/sec accuracy=45.744420 loss=2.346106 lr=0.068533 Epoch[096] Batch [1449]/[3759] Speed: 64.701213 samples/sec accuracy=45.740302 loss=2.345516 lr=0.068520 Epoch[096] 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accuracy=45.589744 loss=2.351952 lr=0.068390 Epoch[096] Batch [1999]/[3759] Speed: 64.148959 samples/sec accuracy=45.571094 loss=2.352779 lr=0.068377 Epoch[096] Batch [2049]/[3759] Speed: 63.833063 samples/sec accuracy=45.583841 loss=2.351995 lr=0.068364 Epoch[096] Batch [2099]/[3759] Speed: 64.813033 samples/sec accuracy=45.554315 loss=2.353097 lr=0.068351 Epoch[096] Batch [2149]/[3759] Speed: 64.022899 samples/sec accuracy=45.523256 loss=2.354915 lr=0.068338 Epoch[096] Batch [2199]/[3759] Speed: 64.155646 samples/sec accuracy=45.490767 loss=2.356789 lr=0.068325 Epoch[096] Batch [2249]/[3759] Speed: 64.042576 samples/sec accuracy=45.472917 loss=2.356901 lr=0.068312 Epoch[096] Batch [2299]/[3759] Speed: 64.101669 samples/sec accuracy=45.447011 loss=2.357882 lr=0.068299 Epoch[096] Batch [2349]/[3759] Speed: 64.089209 samples/sec accuracy=45.432181 loss=2.358589 lr=0.068286 Epoch[096] Batch [2399]/[3759] Speed: 64.162838 samples/sec accuracy=45.427083 loss=2.357808 lr=0.068273 Epoch[096] 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accuracy=45.442888 loss=2.358589 lr=0.068144 Epoch[096] Batch [2949]/[3759] Speed: 64.187842 samples/sec accuracy=45.475636 loss=2.356756 lr=0.068131 Epoch[096] Batch [2999]/[3759] Speed: 64.179032 samples/sec accuracy=45.496875 loss=2.356302 lr=0.068118 Epoch[096] Batch [3049]/[3759] Speed: 64.162552 samples/sec accuracy=45.484631 loss=2.357044 lr=0.068105 Epoch[096] Batch [3099]/[3759] Speed: 64.294558 samples/sec accuracy=45.465726 loss=2.357996 lr=0.068092 Epoch[096] Batch [3149]/[3759] Speed: 64.233912 samples/sec accuracy=45.468254 loss=2.358113 lr=0.068079 Epoch[096] Batch [3199]/[3759] Speed: 64.097900 samples/sec accuracy=45.476074 loss=2.358129 lr=0.068066 Epoch[096] Batch [3249]/[3759] Speed: 64.280677 samples/sec accuracy=45.453365 loss=2.359057 lr=0.068053 Epoch[096] Batch [3299]/[3759] Speed: 63.734676 samples/sec accuracy=45.444129 loss=2.359115 lr=0.068040 Epoch[096] Batch [3349]/[3759] Speed: 64.494254 samples/sec accuracy=45.445896 loss=2.358709 lr=0.068027 Epoch[096] Batch [3399]/[3759] Speed: 64.338474 samples/sec accuracy=45.454963 loss=2.358353 lr=0.068014 Epoch[096] Batch [3449]/[3759] Speed: 63.664231 samples/sec accuracy=45.454710 loss=2.358044 lr=0.068001 Epoch[096] Batch [3499]/[3759] Speed: 64.436662 samples/sec accuracy=45.461161 loss=2.358414 lr=0.067988 Epoch[096] Batch [3549]/[3759] Speed: 64.333794 samples/sec accuracy=45.459507 loss=2.358162 lr=0.067975 Epoch[096] Batch [3599]/[3759] Speed: 63.475523 samples/sec accuracy=45.466580 loss=2.357998 lr=0.067962 Epoch[096] Batch [3649]/[3759] Speed: 65.073636 samples/sec accuracy=45.445634 loss=2.358986 lr=0.067949 Epoch[096] Batch [3699]/[3759] Speed: 64.258548 samples/sec accuracy=45.453970 loss=2.359191 lr=0.067936 Epoch[096] Batch [3749]/[3759] Speed: 68.076943 samples/sec accuracy=45.458333 loss=2.359192 lr=0.067923 Batch [0049]/[0303]: acc-top1=44.000000 acc-top5=71.656250 Batch [0099]/[0303]: acc-top1=44.921875 acc-top5=72.015625 Batch [0149]/[0303]: acc-top1=44.770833 acc-top5=71.833333 Batch [0199]/[0303]: acc-top1=44.921875 acc-top5=71.937500 Batch [0249]/[0303]: acc-top1=45.087500 acc-top5=72.037500 Batch [0299]/[0303]: acc-top1=45.375000 acc-top5=71.994792 [Epoch 096] training: accuracy=45.460063 loss=2.359420 [Epoch 096] speed: 63 samples/sec time cost: 4047.401912 [Epoch 096] validation: acc-top1=45.379538 acc-top5=72.009076 loss=2.579989 Epoch[097] Batch [0049]/[3760] Speed: 42.358611 samples/sec accuracy=45.625000 loss=2.318747 lr=0.067908 Epoch[097] Batch [0099]/[3760] Speed: 62.669290 samples/sec accuracy=45.703125 loss=2.314636 lr=0.067895 Epoch[097] Batch [0149]/[3760] Speed: 64.751308 samples/sec accuracy=45.895833 loss=2.309617 lr=0.067882 Epoch[097] Batch [0199]/[3760] Speed: 63.206617 samples/sec accuracy=46.101562 loss=2.309186 lr=0.067869 Epoch[097] Batch [0249]/[3760] Speed: 64.460958 samples/sec accuracy=45.968750 loss=2.318832 lr=0.067856 Epoch[097] Batch [0299]/[3760] Speed: 64.119491 samples/sec accuracy=45.942708 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accuracy=45.820000 loss=2.340092 lr=0.067596 Epoch[097] Batch [1299]/[3760] Speed: 63.561957 samples/sec accuracy=45.858173 loss=2.339996 lr=0.067583 Epoch[097] Batch [1349]/[3760] Speed: 64.370144 samples/sec accuracy=45.879630 loss=2.338633 lr=0.067570 Epoch[097] Batch [1399]/[3760] Speed: 64.319984 samples/sec accuracy=45.872768 loss=2.338249 lr=0.067557 Epoch[097] Batch [1449]/[3760] Speed: 63.788498 samples/sec accuracy=45.839440 loss=2.340639 lr=0.067544 Epoch[097] Batch [1499]/[3760] Speed: 64.442671 samples/sec accuracy=45.795833 loss=2.342369 lr=0.067531 Epoch[097] Batch [1549]/[3760] Speed: 64.385703 samples/sec accuracy=45.861895 loss=2.339980 lr=0.067518 Epoch[097] Batch [1599]/[3760] Speed: 63.525094 samples/sec accuracy=45.811523 loss=2.342338 lr=0.067505 Epoch[097] Batch [1649]/[3760] Speed: 64.390298 samples/sec accuracy=45.818182 loss=2.342733 lr=0.067492 Epoch[097] Batch [1699]/[3760] Speed: 64.473308 samples/sec accuracy=45.828125 loss=2.342662 lr=0.067479 Epoch[097] 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accuracy=45.708097 loss=2.345663 lr=0.067348 Epoch[097] Batch [2249]/[3760] Speed: 63.849070 samples/sec accuracy=45.743750 loss=2.345102 lr=0.067335 Epoch[097] Batch [2299]/[3760] Speed: 64.253235 samples/sec accuracy=45.750679 loss=2.345201 lr=0.067322 Epoch[097] Batch [2349]/[3760] Speed: 64.605220 samples/sec accuracy=45.729388 loss=2.345353 lr=0.067309 Epoch[097] Batch [2399]/[3760] Speed: 63.793482 samples/sec accuracy=45.736979 loss=2.346114 lr=0.067296 Epoch[097] Batch [2449]/[3760] Speed: 64.432443 samples/sec accuracy=45.720026 loss=2.347407 lr=0.067283 Epoch[097] Batch [2499]/[3760] Speed: 64.178883 samples/sec accuracy=45.715625 loss=2.348112 lr=0.067270 Epoch[097] Batch [2549]/[3760] Speed: 63.310998 samples/sec accuracy=45.708333 loss=2.348117 lr=0.067257 Epoch[097] Batch [2599]/[3760] Speed: 65.070085 samples/sec accuracy=45.710938 loss=2.347897 lr=0.067244 Epoch[097] Batch [2649]/[3760] Speed: 64.768411 samples/sec accuracy=45.707547 loss=2.347906 lr=0.067231 Epoch[097] 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accuracy=45.682044 loss=2.351301 lr=0.067101 Epoch[097] Batch [3199]/[3760] Speed: 63.513510 samples/sec accuracy=45.707031 loss=2.350513 lr=0.067088 Epoch[097] Batch [3249]/[3760] Speed: 64.800434 samples/sec accuracy=45.701442 loss=2.350452 lr=0.067075 Epoch[097] Batch [3299]/[3760] Speed: 64.546782 samples/sec accuracy=45.681345 loss=2.351079 lr=0.067062 Epoch[097] Batch [3349]/[3760] Speed: 63.371626 samples/sec accuracy=45.677705 loss=2.350759 lr=0.067049 Epoch[097] Batch [3399]/[3760] Speed: 65.179444 samples/sec accuracy=45.652114 loss=2.351418 lr=0.067036 Epoch[097] Batch [3449]/[3760] Speed: 64.594450 samples/sec accuracy=45.656250 loss=2.351381 lr=0.067023 Epoch[097] Batch [3499]/[3760] Speed: 64.415036 samples/sec accuracy=45.655357 loss=2.351710 lr=0.067010 Epoch[097] Batch [3549]/[3760] Speed: 64.073223 samples/sec accuracy=45.620158 loss=2.352580 lr=0.066997 Epoch[097] Batch [3599]/[3760] Speed: 64.156631 samples/sec accuracy=45.597222 loss=2.353958 lr=0.066984 Epoch[097] Batch [3649]/[3760] Speed: 64.382024 samples/sec accuracy=45.583048 loss=2.354131 lr=0.066971 Epoch[097] Batch [3699]/[3760] Speed: 63.669978 samples/sec accuracy=45.585304 loss=2.354332 lr=0.066958 Epoch[097] Batch [3749]/[3760] Speed: 67.500636 samples/sec accuracy=45.569583 loss=2.355379 lr=0.066944 Batch [0049]/[0303]: acc-top1=44.687500 acc-top5=70.906250 Batch [0099]/[0303]: acc-top1=44.718750 acc-top5=70.921875 Batch [0149]/[0303]: acc-top1=44.916667 acc-top5=71.333333 Batch [0199]/[0303]: acc-top1=45.015625 acc-top5=71.453125 Batch [0249]/[0303]: acc-top1=45.250000 acc-top5=71.625000 Batch [0299]/[0303]: acc-top1=45.312500 acc-top5=71.682292 [Epoch 097] training: accuracy=45.566406 loss=2.355575 [Epoch 097] speed: 63 samples/sec time cost: 4048.501981 [Epoch 097] validation: acc-top1=45.364068 acc-top5=71.709983 loss=2.550992 Epoch[098] Batch [0049]/[3759] Speed: 42.039506 samples/sec accuracy=46.687500 loss=2.310261 lr=0.066929 Epoch[098] Batch [0099]/[3759] Speed: 62.260996 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lr=0.066053 Epoch[098] Batch [3449]/[3759] Speed: 63.484859 samples/sec accuracy=45.606884 loss=2.351693 lr=0.066040 Epoch[098] Batch [3499]/[3759] Speed: 65.146589 samples/sec accuracy=45.606696 loss=2.352354 lr=0.066027 Epoch[098] Batch [3549]/[3759] Speed: 64.319596 samples/sec accuracy=45.608275 loss=2.352424 lr=0.066014 Epoch[098] Batch [3599]/[3759] Speed: 64.488254 samples/sec accuracy=45.624566 loss=2.352092 lr=0.066001 Epoch[098] Batch [3649]/[3759] Speed: 63.832905 samples/sec accuracy=45.629281 loss=2.352511 lr=0.065988 Epoch[098] Batch [3699]/[3759] Speed: 65.172945 samples/sec accuracy=45.632179 loss=2.352571 lr=0.065975 Epoch[098] Batch [3749]/[3759] Speed: 67.963466 samples/sec accuracy=45.624583 loss=2.352389 lr=0.065962 Batch [0049]/[0303]: acc-top1=45.718750 acc-top5=72.125000 Batch [0099]/[0303]: acc-top1=45.421875 acc-top5=72.328125 Batch [0149]/[0303]: acc-top1=45.302083 acc-top5=72.354167 Batch [0199]/[0303]: acc-top1=45.492188 acc-top5=72.273438 Batch [0249]/[0303]: acc-top1=46.068750 acc-top5=72.368750 Batch [0299]/[0303]: acc-top1=46.135417 acc-top5=72.255208 [Epoch 098] training: accuracy=45.627161 loss=2.352163 [Epoch 098] speed: 63 samples/sec time cost: 4042.356464 [Epoch 098] validation: acc-top1=46.116955 acc-top5=72.261757 loss=2.524894 Epoch[099] Batch [0049]/[3760] Speed: 41.704208 samples/sec accuracy=46.000000 loss=2.314654 lr=0.065946 Epoch[099] Batch [0099]/[3760] Speed: 63.275003 samples/sec accuracy=45.437500 loss=2.333513 lr=0.065933 Epoch[099] Batch [0149]/[3760] Speed: 64.375773 samples/sec accuracy=46.104167 loss=2.306885 lr=0.065920 Epoch[099] Batch [0199]/[3760] Speed: 63.739253 samples/sec accuracy=46.101562 loss=2.309411 lr=0.065907 Epoch[099] Batch [0249]/[3760] Speed: 64.367243 samples/sec accuracy=46.087500 loss=2.301959 lr=0.065894 Epoch[099] Batch [0299]/[3760] Speed: 64.528916 samples/sec accuracy=46.151042 loss=2.304422 lr=0.065881 Epoch[099] Batch [0349]/[3760] Speed: 63.840326 samples/sec 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accuracy=45.945833 loss=2.334367 lr=0.065369 Epoch[099] Batch [2299]/[3760] Speed: 64.133343 samples/sec accuracy=45.919837 loss=2.334517 lr=0.065356 Epoch[099] Batch [2349]/[3760] Speed: 64.483025 samples/sec accuracy=45.932846 loss=2.334102 lr=0.065343 Epoch[099] Batch [2399]/[3760] Speed: 64.797135 samples/sec accuracy=45.888672 loss=2.335238 lr=0.065330 Epoch[099] Batch [2449]/[3760] Speed: 63.664607 samples/sec accuracy=45.878189 loss=2.335946 lr=0.065317 Epoch[099] Batch [2499]/[3760] Speed: 64.489064 samples/sec accuracy=45.877500 loss=2.336733 lr=0.065304 Epoch[099] Batch [2549]/[3760] Speed: 64.465402 samples/sec accuracy=45.885417 loss=2.336897 lr=0.065291 Epoch[099] Batch [2599]/[3760] Speed: 64.643935 samples/sec accuracy=45.901442 loss=2.336804 lr=0.065278 Epoch[099] Batch [2649]/[3760] Speed: 64.195493 samples/sec accuracy=45.881486 loss=2.337049 lr=0.065264 Epoch[099] Batch [2699]/[3760] Speed: 64.567028 samples/sec accuracy=45.865162 loss=2.337425 lr=0.065251 Epoch[099] 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accuracy=45.865723 loss=2.337356 lr=0.065120 Epoch[099] Batch [3249]/[3760] Speed: 64.424653 samples/sec accuracy=45.843269 loss=2.338444 lr=0.065107 Epoch[099] Batch [3299]/[3760] Speed: 64.077071 samples/sec accuracy=45.834754 loss=2.338606 lr=0.065094 Epoch[099] Batch [3349]/[3760] Speed: 64.468963 samples/sec accuracy=45.853545 loss=2.338508 lr=0.065081 Epoch[099] Batch [3399]/[3760] Speed: 64.175174 samples/sec accuracy=45.850643 loss=2.338017 lr=0.065067 Epoch[099] Batch [3449]/[3760] Speed: 63.871238 samples/sec accuracy=45.850543 loss=2.337309 lr=0.065054 Epoch[099] Batch [3499]/[3760] Speed: 64.698971 samples/sec accuracy=45.832589 loss=2.337955 lr=0.065041 Epoch[099] Batch [3549]/[3760] Speed: 64.146648 samples/sec accuracy=45.839789 loss=2.337722 lr=0.065028 Epoch[099] Batch [3599]/[3760] Speed: 63.548705 samples/sec accuracy=45.828125 loss=2.337888 lr=0.065015 Epoch[099] Batch [3649]/[3760] Speed: 64.560118 samples/sec accuracy=45.821490 loss=2.337859 lr=0.065002 Epoch[099] Batch [3699]/[3760] Speed: 64.504507 samples/sec accuracy=45.837838 loss=2.337406 lr=0.064989 Epoch[099] Batch [3749]/[3760] Speed: 67.862158 samples/sec accuracy=45.848333 loss=2.336953 lr=0.064975 Batch [0049]/[0303]: acc-top1=45.031250 acc-top5=70.093750 Batch [0099]/[0303]: acc-top1=44.796875 acc-top5=70.562500 Batch [0149]/[0303]: acc-top1=44.833333 acc-top5=70.666667 Batch [0199]/[0303]: acc-top1=44.953125 acc-top5=70.546875 Batch [0249]/[0303]: acc-top1=45.218750 acc-top5=70.956250 Batch [0299]/[0303]: acc-top1=45.260417 acc-top5=71.020833 [Epoch 099] training: accuracy=45.850648 loss=2.337051 [Epoch 099] speed: 63 samples/sec time cost: 4047.915862 [Epoch 099] validation: acc-top1=45.307343 acc-top5=71.024134 loss=2.666807 Epoch[100] Batch [0049]/[3760] Speed: 42.468852 samples/sec accuracy=46.281250 loss=2.331829 lr=0.064960 Epoch[100] Batch [0099]/[3760] Speed: 63.123261 samples/sec accuracy=46.468750 loss=2.305256 lr=0.064947 Epoch[100] Batch [0149]/[3760] Speed: 64.565091 samples/sec accuracy=46.447917 loss=2.308646 lr=0.064933 Epoch[100] Batch [0199]/[3760] Speed: 63.382304 samples/sec accuracy=46.234375 loss=2.316636 lr=0.064920 Epoch[100] Batch [0249]/[3760] Speed: 64.140794 samples/sec accuracy=45.950000 loss=2.328810 lr=0.064907 Epoch[100] Batch [0299]/[3760] Speed: 63.936885 samples/sec accuracy=46.057292 loss=2.324408 lr=0.064894 Epoch[100] Batch [0349]/[3760] Speed: 63.836472 samples/sec accuracy=46.308036 loss=2.313765 lr=0.064881 Epoch[100] Batch [0399]/[3760] Speed: 64.387306 samples/sec accuracy=46.160156 loss=2.319923 lr=0.064868 Epoch[100] Batch [0449]/[3760] Speed: 64.178241 samples/sec accuracy=46.291667 loss=2.308447 lr=0.064855 Epoch[100] Batch [0499]/[3760] Speed: 64.265614 samples/sec accuracy=46.468750 loss=2.300364 lr=0.064841 Epoch[100] Batch [0549]/[3760] Speed: 64.274471 samples/sec accuracy=46.420455 loss=2.305035 lr=0.064828 Epoch[100] Batch [0599]/[3760] Speed: 64.358199 samples/sec accuracy=46.380208 loss=2.309801 lr=0.064815 Epoch[100] Batch [0649]/[3760] Speed: 63.334622 samples/sec accuracy=46.213942 loss=2.315113 lr=0.064802 Epoch[100] Batch [0699]/[3760] Speed: 65.182107 samples/sec accuracy=46.185268 loss=2.314081 lr=0.064789 Epoch[100] Batch [0749]/[3760] Speed: 64.371465 samples/sec accuracy=46.168750 loss=2.316474 lr=0.064776 Epoch[100] Batch [0799]/[3760] Speed: 64.793246 samples/sec accuracy=46.291016 loss=2.312682 lr=0.064762 Epoch[100] Batch [0849]/[3760] Speed: 63.659497 samples/sec accuracy=46.351103 loss=2.312277 lr=0.064749 Epoch[100] Batch [0899]/[3760] Speed: 64.544161 samples/sec accuracy=46.395833 loss=2.310245 lr=0.064736 Epoch[100] Batch [0949]/[3760] Speed: 64.571532 samples/sec accuracy=46.391447 loss=2.312052 lr=0.064723 Epoch[100] Batch [0999]/[3760] Speed: 64.235576 samples/sec accuracy=46.439062 loss=2.309120 lr=0.064710 Epoch[100] Batch [1049]/[3760] Speed: 64.333263 samples/sec accuracy=46.450893 loss=2.307484 lr=0.064697 Epoch[100] Batch [1099]/[3760] Speed: 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lr=0.064565 Epoch[100] Batch [1599]/[3760] Speed: 64.424172 samples/sec accuracy=46.380859 loss=2.317618 lr=0.064552 Epoch[100] Batch [1649]/[3760] Speed: 64.190629 samples/sec accuracy=46.395833 loss=2.317005 lr=0.064539 Epoch[100] Batch [1699]/[3760] Speed: 64.227324 samples/sec accuracy=46.437500 loss=2.316354 lr=0.064526 Epoch[100] Batch [1749]/[3760] Speed: 64.296592 samples/sec accuracy=46.463393 loss=2.313661 lr=0.064513 Epoch[100] Batch [1799]/[3760] Speed: 63.624728 samples/sec accuracy=46.427083 loss=2.314987 lr=0.064499 Epoch[100] Batch [1849]/[3760] Speed: 65.390362 samples/sec accuracy=46.385135 loss=2.316686 lr=0.064486 Epoch[100] Batch [1899]/[3760] Speed: 64.256601 samples/sec accuracy=46.370888 loss=2.316967 lr=0.064473 Epoch[100] Batch [1949]/[3760] Speed: 63.552166 samples/sec accuracy=46.370192 loss=2.316313 lr=0.064460 Epoch[100] Batch [1999]/[3760] Speed: 64.993781 samples/sec accuracy=46.355469 loss=2.317421 lr=0.064447 Epoch[100] Batch [2049]/[3760] Speed: 64.782679 samples/sec accuracy=46.362805 loss=2.317393 lr=0.064434 Epoch[100] Batch [2099]/[3760] Speed: 64.602000 samples/sec accuracy=46.335565 loss=2.318547 lr=0.064420 Epoch[100] Batch [2149]/[3760] Speed: 63.766629 samples/sec accuracy=46.319767 loss=2.319688 lr=0.064407 Epoch[100] Batch [2199]/[3760] Speed: 64.666801 samples/sec accuracy=46.350142 loss=2.319227 lr=0.064394 Epoch[100] Batch [2249]/[3760] Speed: 64.747799 samples/sec accuracy=46.343750 loss=2.318613 lr=0.064381 Epoch[100] Batch [2299]/[3760] Speed: 63.771819 samples/sec accuracy=46.304348 loss=2.319292 lr=0.064368 Epoch[100] Batch [2349]/[3760] Speed: 64.521008 samples/sec accuracy=46.310505 loss=2.318974 lr=0.064355 Epoch[100] Batch [2399]/[3760] Speed: 64.629817 samples/sec accuracy=46.284505 loss=2.319378 lr=0.064341 Epoch[100] Batch [2449]/[3760] Speed: 63.629624 samples/sec accuracy=46.274872 loss=2.319160 lr=0.064328 Epoch[100] Batch [2499]/[3760] Speed: 64.815231 samples/sec accuracy=46.253750 loss=2.320174 lr=0.064315 Epoch[100] Batch [2549]/[3760] Speed: 64.520728 samples/sec accuracy=46.267157 loss=2.319905 lr=0.064302 Epoch[100] Batch [2599]/[3760] Speed: 64.856207 samples/sec accuracy=46.239183 loss=2.320675 lr=0.064289 Epoch[100] Batch [2649]/[3760] Speed: 64.171167 samples/sec accuracy=46.248231 loss=2.320572 lr=0.064276 Epoch[100] Batch [2699]/[3760] Speed: 64.511663 samples/sec accuracy=46.267940 loss=2.320837 lr=0.064262 Epoch[100] Batch [2749]/[3760] Speed: 64.367917 samples/sec accuracy=46.277841 loss=2.321009 lr=0.064249 Epoch[100] Batch [2799]/[3760] Speed: 64.040601 samples/sec accuracy=46.295759 loss=2.320175 lr=0.064236 Epoch[100] Batch [2849]/[3760] Speed: 64.211469 samples/sec accuracy=46.285088 loss=2.320549 lr=0.064223 Epoch[100] Batch [2899]/[3760] Speed: 64.474666 samples/sec accuracy=46.245151 loss=2.321869 lr=0.064210 Epoch[100] Batch [2949]/[3760] Speed: 63.892990 samples/sec accuracy=46.226695 loss=2.322500 lr=0.064197 Epoch[100] Batch [2999]/[3760] Speed: 64.780681 samples/sec accuracy=46.226042 loss=2.322789 lr=0.064183 Epoch[100] Batch [3049]/[3760] Speed: 64.253146 samples/sec accuracy=46.245389 loss=2.322094 lr=0.064170 Epoch[100] Batch [3099]/[3760] Speed: 64.524439 samples/sec accuracy=46.213206 loss=2.322761 lr=0.064157 Epoch[100] Batch [3149]/[3760] Speed: 64.133499 samples/sec accuracy=46.204365 loss=2.322494 lr=0.064144 Epoch[100] Batch [3199]/[3760] Speed: 64.113341 samples/sec accuracy=46.215820 loss=2.322276 lr=0.064131 Epoch[100] Batch [3249]/[3760] Speed: 64.456024 samples/sec accuracy=46.206250 loss=2.322779 lr=0.064117 Epoch[100] Batch [3299]/[3760] Speed: 64.066208 samples/sec accuracy=46.197917 loss=2.323740 lr=0.064104 Epoch[100] Batch [3349]/[3760] Speed: 64.660296 samples/sec accuracy=46.189366 loss=2.323503 lr=0.064091 Epoch[100] Batch [3399]/[3760] Speed: 64.520060 samples/sec accuracy=46.178768 loss=2.324275 lr=0.064078 Epoch[100] Batch [3449]/[3760] Speed: 63.855531 samples/sec accuracy=46.169384 loss=2.325017 lr=0.064065 Epoch[100] Batch [3499]/[3760] Speed: 64.434791 samples/sec accuracy=46.169643 loss=2.324962 lr=0.064052 Epoch[100] Batch [3549]/[3760] Speed: 64.985597 samples/sec accuracy=46.166813 loss=2.325085 lr=0.064038 Epoch[100] Batch [3599]/[3760] Speed: 63.559871 samples/sec accuracy=46.175347 loss=2.325133 lr=0.064025 Epoch[100] Batch [3649]/[3760] Speed: 64.970330 samples/sec accuracy=46.176370 loss=2.325142 lr=0.064012 Epoch[100] Batch [3699]/[3760] Speed: 64.607874 samples/sec accuracy=46.156672 loss=2.325970 lr=0.063999 Epoch[100] Batch [3749]/[3760] Speed: 68.164034 samples/sec accuracy=46.147083 loss=2.326818 lr=0.063986 Batch [0049]/[0303]: acc-top1=45.812500 acc-top5=70.906250 Batch [0099]/[0303]: acc-top1=45.562500 acc-top5=71.437500 Batch [0149]/[0303]: acc-top1=45.427083 acc-top5=71.739583 Batch [0199]/[0303]: acc-top1=45.429688 acc-top5=71.843750 Batch [0249]/[0303]: acc-top1=45.668750 acc-top5=72.112500 Batch [0299]/[0303]: acc-top1=45.671875 acc-top5=72.067708 [Epoch 100] training: accuracy=46.144864 loss=2.327053 [Epoch 100] speed: 63 samples/sec time cost: 4042.552511 [Epoch 100] validation: acc-top1=45.678630 acc-top5=72.065800 loss=2.575908 Epoch[101] Batch [0049]/[3759] Speed: 43.148276 samples/sec accuracy=47.156250 loss=2.271211 lr=0.063970 Epoch[101] Batch [0099]/[3759] Speed: 63.212233 samples/sec accuracy=47.125000 loss=2.283454 lr=0.063957 Epoch[101] Batch [0149]/[3759] Speed: 64.370209 samples/sec accuracy=46.791667 loss=2.301075 lr=0.063943 Epoch[101] Batch [0199]/[3759] Speed: 63.659548 samples/sec accuracy=46.445312 loss=2.309412 lr=0.063930 Epoch[101] Batch [0249]/[3759] Speed: 64.505933 samples/sec accuracy=46.412500 loss=2.302433 lr=0.063917 Epoch[101] Batch [0299]/[3759] Speed: 64.496206 samples/sec accuracy=46.604167 loss=2.301982 lr=0.063904 Epoch[101] Batch [0349]/[3759] Speed: 64.171778 samples/sec accuracy=46.616071 loss=2.301369 lr=0.063891 Epoch[101] Batch [0399]/[3759] Speed: 64.542018 samples/sec accuracy=46.867188 loss=2.286263 lr=0.063878 Epoch[101] Batch [0449]/[3759] Speed: 64.183530 samples/sec accuracy=46.784722 loss=2.291307 lr=0.063864 Epoch[101] Batch [0499]/[3759] Speed: 63.659429 samples/sec accuracy=46.950000 loss=2.287628 lr=0.063851 Epoch[101] Batch [0549]/[3759] Speed: 64.816011 samples/sec accuracy=46.897727 loss=2.290216 lr=0.063838 Epoch[101] Batch [0599]/[3759] Speed: 64.868861 samples/sec accuracy=46.911458 loss=2.289370 lr=0.063825 Epoch[101] Batch [0649]/[3759] Speed: 64.283490 samples/sec accuracy=46.853365 loss=2.287926 lr=0.063812 Epoch[101] Batch [0699]/[3759] Speed: 63.723654 samples/sec accuracy=46.792411 loss=2.292111 lr=0.063798 Epoch[101] Batch [0749]/[3759] Speed: 64.928770 samples/sec accuracy=46.766667 loss=2.295807 lr=0.063785 Epoch[101] Batch [0799]/[3759] Speed: 64.279711 samples/sec accuracy=46.761719 loss=2.295385 lr=0.063772 Epoch[101] Batch [0849]/[3759] Speed: 63.748384 samples/sec accuracy=46.761029 loss=2.293677 lr=0.063759 Epoch[101] 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accuracy=46.494213 loss=2.305130 lr=0.063627 Epoch[101] Batch [1399]/[3759] Speed: 64.788910 samples/sec accuracy=46.483259 loss=2.306379 lr=0.063614 Epoch[101] Batch [1449]/[3759] Speed: 64.124255 samples/sec accuracy=46.456897 loss=2.305677 lr=0.063601 Epoch[101] Batch [1499]/[3759] Speed: 63.774685 samples/sec accuracy=46.416667 loss=2.308216 lr=0.063587 Epoch[101] Batch [1549]/[3759] Speed: 64.649327 samples/sec accuracy=46.465726 loss=2.305636 lr=0.063574 Epoch[101] Batch [1599]/[3759] Speed: 64.115284 samples/sec accuracy=46.466797 loss=2.306081 lr=0.063561 Epoch[101] Batch [1649]/[3759] Speed: 64.814696 samples/sec accuracy=46.446970 loss=2.308387 lr=0.063548 Epoch[101] Batch [1699]/[3759] Speed: 63.980773 samples/sec accuracy=46.443015 loss=2.309308 lr=0.063535 Epoch[101] Batch [1749]/[3759] Speed: 64.349658 samples/sec accuracy=46.416071 loss=2.310328 lr=0.063521 Epoch[101] Batch [1799]/[3759] Speed: 64.654518 samples/sec accuracy=46.407986 loss=2.311133 lr=0.063508 Epoch[101] 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accuracy=46.343750 loss=2.314058 lr=0.063376 Epoch[101] Batch [2349]/[3759] Speed: 64.518994 samples/sec accuracy=46.326463 loss=2.315723 lr=0.063363 Epoch[101] Batch [2399]/[3759] Speed: 64.288476 samples/sec accuracy=46.292969 loss=2.317097 lr=0.063350 Epoch[101] Batch [2449]/[3759] Speed: 64.436990 samples/sec accuracy=46.287628 loss=2.317479 lr=0.063336 Epoch[101] Batch [2499]/[3759] Speed: 63.739483 samples/sec accuracy=46.281250 loss=2.317879 lr=0.063323 Epoch[101] Batch [2549]/[3759] Speed: 64.457964 samples/sec accuracy=46.247549 loss=2.319213 lr=0.063310 Epoch[101] Batch [2599]/[3759] Speed: 64.264097 samples/sec accuracy=46.239784 loss=2.319710 lr=0.063297 Epoch[101] Batch [2649]/[3759] Speed: 63.496580 samples/sec accuracy=46.272406 loss=2.318827 lr=0.063284 Epoch[101] Batch [2699]/[3759] Speed: 65.200701 samples/sec accuracy=46.293403 loss=2.318495 lr=0.063270 Epoch[101] Batch [2749]/[3759] Speed: 64.867688 samples/sec accuracy=46.280682 loss=2.319162 lr=0.063257 Epoch[101] 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accuracy=46.239423 loss=2.320103 lr=0.063125 Epoch[101] Batch [3299]/[3759] Speed: 64.421654 samples/sec accuracy=46.238163 loss=2.320500 lr=0.063112 Epoch[101] Batch [3349]/[3759] Speed: 63.602417 samples/sec accuracy=46.231810 loss=2.320769 lr=0.063099 Epoch[101] Batch [3399]/[3759] Speed: 64.416298 samples/sec accuracy=46.213235 loss=2.322232 lr=0.063085 Epoch[101] Batch [3449]/[3759] Speed: 64.362202 samples/sec accuracy=46.220109 loss=2.321898 lr=0.063072 Epoch[101] Batch [3499]/[3759] Speed: 63.580242 samples/sec accuracy=46.203571 loss=2.322379 lr=0.063059 Epoch[101] Batch [3549]/[3759] Speed: 64.225508 samples/sec accuracy=46.194542 loss=2.322271 lr=0.063046 Epoch[101] Batch [3599]/[3759] Speed: 64.519123 samples/sec accuracy=46.186198 loss=2.322658 lr=0.063033 Epoch[101] Batch [3649]/[3759] Speed: 63.251364 samples/sec accuracy=46.182791 loss=2.322780 lr=0.063019 Epoch[101] Batch [3699]/[3759] Speed: 65.027114 samples/sec accuracy=46.190456 loss=2.323072 lr=0.063006 Epoch[101] Batch [3749]/[3759] Speed: 67.818927 samples/sec accuracy=46.177083 loss=2.323549 lr=0.062993 Batch [0049]/[0303]: acc-top1=45.687500 acc-top5=72.593750 Batch [0099]/[0303]: acc-top1=46.359375 acc-top5=73.093750 Batch [0149]/[0303]: acc-top1=46.312500 acc-top5=73.093750 Batch [0199]/[0303]: acc-top1=46.242188 acc-top5=72.953125 Batch [0249]/[0303]: acc-top1=46.400000 acc-top5=73.150000 Batch [0299]/[0303]: acc-top1=46.776042 acc-top5=73.229167 [Epoch 101] training: accuracy=46.167947 loss=2.323882 [Epoch 101] speed: 63 samples/sec time cost: 4038.983580 [Epoch 101] validation: acc-top1=46.751238 acc-top5=73.220916 loss=2.498694 Epoch[102] Batch [0049]/[3760] Speed: 42.758942 samples/sec accuracy=47.500000 loss=2.341150 lr=0.062977 Epoch[102] Batch [0099]/[3760] Speed: 63.597189 samples/sec accuracy=47.484375 loss=2.308828 lr=0.062964 Epoch[102] Batch [0149]/[3760] Speed: 64.162613 samples/sec accuracy=47.625000 loss=2.277305 lr=0.062951 Epoch[102] Batch [0199]/[3760] Speed: 63.557326 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lr=0.062819 Epoch[102] Batch [0699]/[3760] Speed: 64.306374 samples/sec accuracy=46.883929 loss=2.290827 lr=0.062805 Epoch[102] Batch [0749]/[3760] Speed: 64.197157 samples/sec accuracy=46.831250 loss=2.290974 lr=0.062792 Epoch[102] Batch [0799]/[3760] Speed: 64.417194 samples/sec accuracy=46.906250 loss=2.288761 lr=0.062779 Epoch[102] Batch [0849]/[3760] Speed: 64.254245 samples/sec accuracy=46.972426 loss=2.286628 lr=0.062766 Epoch[102] Batch [0899]/[3760] Speed: 63.765890 samples/sec accuracy=46.944444 loss=2.287706 lr=0.062752 Epoch[102] Batch [0949]/[3760] Speed: 64.162647 samples/sec accuracy=46.981908 loss=2.287757 lr=0.062739 Epoch[102] Batch [0999]/[3760] Speed: 64.894338 samples/sec accuracy=46.951563 loss=2.288700 lr=0.062726 Epoch[102] Batch [1049]/[3760] Speed: 63.211599 samples/sec accuracy=46.877976 loss=2.290490 lr=0.062713 Epoch[102] Batch [1099]/[3760] Speed: 65.022871 samples/sec accuracy=46.845170 loss=2.291532 lr=0.062700 Epoch[102] Batch [1149]/[3760] Speed: 64.543589 samples/sec accuracy=46.839674 loss=2.291856 lr=0.062686 Epoch[102] Batch [1199]/[3760] Speed: 64.529968 samples/sec accuracy=46.861979 loss=2.288973 lr=0.062673 Epoch[102] Batch [1249]/[3760] Speed: 63.620378 samples/sec accuracy=46.805000 loss=2.291763 lr=0.062660 Epoch[102] Batch [1299]/[3760] Speed: 64.650923 samples/sec accuracy=46.832933 loss=2.292021 lr=0.062647 Epoch[102] Batch [1349]/[3760] Speed: 64.253959 samples/sec accuracy=46.817130 loss=2.292470 lr=0.062633 Epoch[102] Batch [1399]/[3760] Speed: 63.906638 samples/sec accuracy=46.814732 loss=2.294334 lr=0.062620 Epoch[102] Batch [1449]/[3760] Speed: 64.799726 samples/sec accuracy=46.840517 loss=2.294061 lr=0.062607 Epoch[102] Batch [1499]/[3760] Speed: 64.399391 samples/sec accuracy=46.760417 loss=2.296151 lr=0.062594 Epoch[102] Batch [1549]/[3760] Speed: 63.558160 samples/sec accuracy=46.810484 loss=2.295246 lr=0.062580 Epoch[102] Batch [1599]/[3760] Speed: 64.718754 samples/sec accuracy=46.791992 loss=2.295260 lr=0.062567 Epoch[102] Batch [1649]/[3760] Speed: 64.335640 samples/sec accuracy=46.754735 loss=2.297424 lr=0.062554 Epoch[102] Batch [1699]/[3760] Speed: 64.309512 samples/sec accuracy=46.705882 loss=2.298506 lr=0.062541 Epoch[102] Batch [1749]/[3760] Speed: 64.380404 samples/sec accuracy=46.690179 loss=2.300204 lr=0.062527 Epoch[102] Batch [1799]/[3760] Speed: 64.461858 samples/sec accuracy=46.677083 loss=2.299387 lr=0.062514 Epoch[102] Batch [1849]/[3760] Speed: 64.339288 samples/sec accuracy=46.659628 loss=2.299843 lr=0.062501 Epoch[102] Batch [1899]/[3760] Speed: 64.428080 samples/sec accuracy=46.642270 loss=2.300775 lr=0.062488 Epoch[102] Batch [1949]/[3760] Speed: 64.616814 samples/sec accuracy=46.635417 loss=2.300382 lr=0.062475 Epoch[102] Batch [1999]/[3760] Speed: 64.394624 samples/sec accuracy=46.669531 loss=2.299394 lr=0.062461 Epoch[102] Batch [2049]/[3760] Speed: 63.517698 samples/sec accuracy=46.654726 loss=2.299773 lr=0.062448 Epoch[102] Batch [2099]/[3760] Speed: 65.086746 samples/sec accuracy=46.646577 loss=2.299328 lr=0.062435 Epoch[102] Batch [2149]/[3760] Speed: 64.643413 samples/sec accuracy=46.623547 loss=2.299969 lr=0.062422 Epoch[102] Batch [2199]/[3760] Speed: 64.529171 samples/sec accuracy=46.584517 loss=2.299594 lr=0.062408 Epoch[102] Batch [2249]/[3760] Speed: 63.890191 samples/sec accuracy=46.560417 loss=2.300009 lr=0.062395 Epoch[102] Batch [2299]/[3760] Speed: 64.421501 samples/sec accuracy=46.538723 loss=2.300286 lr=0.062382 Epoch[102] Batch [2349]/[3760] Speed: 64.346669 samples/sec accuracy=46.546543 loss=2.300673 lr=0.062369 Epoch[102] Batch [2399]/[3760] Speed: 63.449857 samples/sec accuracy=46.555339 loss=2.300632 lr=0.062355 Epoch[102] Batch [2449]/[3760] Speed: 64.660506 samples/sec accuracy=46.528699 loss=2.301459 lr=0.062342 Epoch[102] Batch [2499]/[3760] Speed: 64.648032 samples/sec accuracy=46.528750 loss=2.302617 lr=0.062329 Epoch[102] Batch [2549]/[3760] Speed: 64.424843 samples/sec accuracy=46.542892 loss=2.301473 lr=0.062316 Epoch[102] Batch [2599]/[3760] Speed: 64.032873 samples/sec accuracy=46.533053 loss=2.302172 lr=0.062302 Epoch[102] Batch [2649]/[3760] Speed: 64.449027 samples/sec accuracy=46.512972 loss=2.302807 lr=0.062289 Epoch[102] Batch [2699]/[3760] Speed: 64.216487 samples/sec accuracy=46.503472 loss=2.303813 lr=0.062276 Epoch[102] Batch [2749]/[3760] Speed: 63.926998 samples/sec accuracy=46.503977 loss=2.304331 lr=0.062263 Epoch[102] Batch [2799]/[3760] Speed: 64.693348 samples/sec accuracy=46.539062 loss=2.302595 lr=0.062249 Epoch[102] Batch [2849]/[3760] Speed: 64.711178 samples/sec accuracy=46.511513 loss=2.303458 lr=0.062236 Epoch[102] Batch [2899]/[3760] Speed: 63.628717 samples/sec accuracy=46.518858 loss=2.303900 lr=0.062223 Epoch[102] Batch [2949]/[3760] Speed: 64.585876 samples/sec accuracy=46.503708 loss=2.304239 lr=0.062210 Epoch[102] Batch [2999]/[3760] Speed: 65.015520 samples/sec accuracy=46.517187 loss=2.303803 lr=0.062196 Epoch[102] Batch [3049]/[3760] Speed: 64.086283 samples/sec accuracy=46.497951 loss=2.304597 lr=0.062183 Epoch[102] Batch [3099]/[3760] Speed: 63.921683 samples/sec accuracy=46.482863 loss=2.305149 lr=0.062170 Epoch[102] Batch [3149]/[3760] Speed: 64.283533 samples/sec accuracy=46.472222 loss=2.305639 lr=0.062157 Epoch[102] Batch [3199]/[3760] Speed: 64.247781 samples/sec accuracy=46.433594 loss=2.307629 lr=0.062143 Epoch[102] Batch [3249]/[3760] Speed: 64.121502 samples/sec accuracy=46.411538 loss=2.308437 lr=0.062130 Epoch[102] Batch [3299]/[3760] Speed: 64.306445 samples/sec accuracy=46.394886 loss=2.308853 lr=0.062117 Epoch[102] Batch [3349]/[3760] Speed: 64.582054 samples/sec accuracy=46.382463 loss=2.309118 lr=0.062104 Epoch[102] Batch [3399]/[3760] Speed: 63.568298 samples/sec accuracy=46.374081 loss=2.309270 lr=0.062090 Epoch[102] Batch [3449]/[3760] Speed: 64.641796 samples/sec accuracy=46.377717 loss=2.308820 lr=0.062077 Epoch[102] Batch [3499]/[3760] Speed: 64.241017 samples/sec accuracy=46.375446 loss=2.308781 lr=0.062064 Epoch[102] Batch [3549]/[3760] Speed: 64.132169 samples/sec accuracy=46.380722 loss=2.308760 lr=0.062051 Epoch[102] Batch [3599]/[3760] Speed: 64.180397 samples/sec accuracy=46.357639 loss=2.309278 lr=0.062037 Epoch[102] Batch [3649]/[3760] Speed: 64.237631 samples/sec accuracy=46.372003 loss=2.308914 lr=0.062024 Epoch[102] Batch [3699]/[3760] Speed: 64.380556 samples/sec accuracy=46.376267 loss=2.309070 lr=0.062011 Epoch[102] Batch [3749]/[3760] Speed: 66.720134 samples/sec accuracy=46.374583 loss=2.309635 lr=0.061998 Batch [0049]/[0303]: acc-top1=45.656250 acc-top5=71.937500 Batch [0099]/[0303]: acc-top1=46.140625 acc-top5=72.421875 Batch [0149]/[0303]: acc-top1=46.343750 acc-top5=72.260417 Batch [0199]/[0303]: acc-top1=46.289062 acc-top5=72.078125 Batch [0249]/[0303]: acc-top1=46.506250 acc-top5=72.231250 Batch [0299]/[0303]: acc-top1=46.468750 acc-top5=72.234375 [Epoch 102] training: accuracy=46.382148 loss=2.309597 [Epoch 102] speed: 63 samples/sec time cost: 4045.950059 [Epoch 102] validation: acc-top1=46.524340 acc-top5=72.256601 loss=2.554713 Epoch[103] Batch [0049]/[3760] Speed: 41.995884 samples/sec accuracy=46.531250 loss=2.282800 lr=0.061982 Epoch[103] Batch [0099]/[3760] Speed: 62.705707 samples/sec accuracy=47.312500 loss=2.256501 lr=0.061969 Epoch[103] Batch [0149]/[3760] Speed: 63.004816 samples/sec accuracy=47.187500 loss=2.243366 lr=0.061955 Epoch[103] Batch [0199]/[3760] Speed: 64.068952 samples/sec accuracy=47.718750 loss=2.233521 lr=0.061942 Epoch[103] Batch [0249]/[3760] Speed: 65.028821 samples/sec accuracy=47.437500 loss=2.249983 lr=0.061929 Epoch[103] Batch [0299]/[3760] Speed: 62.951981 samples/sec accuracy=47.276042 loss=2.261604 lr=0.061915 Epoch[103] Batch [0349]/[3760] Speed: 65.122694 samples/sec accuracy=47.209821 loss=2.259925 lr=0.061902 Epoch[103] Batch [0399]/[3760] Speed: 64.442310 samples/sec accuracy=47.007812 loss=2.266600 lr=0.061889 Epoch[103] Batch [0449]/[3760] Speed: 64.135177 samples/sec accuracy=47.010417 loss=2.265629 lr=0.061876 Epoch[103] Batch [0499]/[3760] Speed: 64.136082 samples/sec accuracy=46.981250 loss=2.270492 lr=0.061862 Epoch[103] Batch [0549]/[3760] Speed: 64.231255 samples/sec accuracy=46.903409 loss=2.278599 lr=0.061849 Epoch[103] Batch [0599]/[3760] Speed: 63.783680 samples/sec accuracy=46.898438 loss=2.276010 lr=0.061836 Epoch[103] Batch [0649]/[3760] Speed: 63.569464 samples/sec accuracy=46.954327 loss=2.275340 lr=0.061823 Epoch[103] Batch [0699]/[3760] Speed: 64.659087 samples/sec accuracy=47.029018 loss=2.272946 lr=0.061809 Epoch[103] Batch [0749]/[3760] Speed: 64.256191 samples/sec accuracy=47.002083 loss=2.277260 lr=0.061796 Epoch[103] Batch [0799]/[3760] Speed: 64.302010 samples/sec accuracy=47.035156 loss=2.275436 lr=0.061783 Epoch[103] Batch [0849]/[3760] Speed: 64.134947 samples/sec accuracy=46.985294 loss=2.277033 lr=0.061770 Epoch[103] Batch [0899]/[3760] Speed: 64.580293 samples/sec accuracy=47.046875 loss=2.274202 lr=0.061756 Epoch[103] 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accuracy=46.936384 loss=2.280519 lr=0.061624 Epoch[103] Batch [1449]/[3760] Speed: 64.163939 samples/sec accuracy=46.907328 loss=2.282697 lr=0.061610 Epoch[103] Batch [1499]/[3760] Speed: 63.754337 samples/sec accuracy=46.902083 loss=2.283955 lr=0.061597 Epoch[103] Batch [1549]/[3760] Speed: 64.609233 samples/sec accuracy=46.921371 loss=2.285194 lr=0.061584 Epoch[103] Batch [1599]/[3760] Speed: 64.480334 samples/sec accuracy=46.918945 loss=2.285820 lr=0.061571 Epoch[103] Batch [1649]/[3760] Speed: 62.881995 samples/sec accuracy=46.892045 loss=2.287221 lr=0.061557 Epoch[103] Batch [1699]/[3760] Speed: 65.026490 samples/sec accuracy=46.915441 loss=2.285909 lr=0.061544 Epoch[103] Batch [1749]/[3760] Speed: 64.296810 samples/sec accuracy=46.922321 loss=2.287309 lr=0.061531 Epoch[103] Batch [1799]/[3760] Speed: 64.782753 samples/sec accuracy=46.922743 loss=2.288341 lr=0.061518 Epoch[103] Batch [1849]/[3760] Speed: 63.756093 samples/sec accuracy=46.887669 loss=2.290049 lr=0.061504 Epoch[103] 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accuracy=46.760890 loss=2.298299 lr=0.061119 Epoch[103] Batch [3349]/[3760] Speed: 63.751715 samples/sec accuracy=46.739739 loss=2.298903 lr=0.061106 Epoch[103] Batch [3399]/[3760] Speed: 64.374374 samples/sec accuracy=46.727941 loss=2.299690 lr=0.061093 Epoch[103] Batch [3449]/[3760] Speed: 64.545335 samples/sec accuracy=46.737772 loss=2.299880 lr=0.061080 Epoch[103] Batch [3499]/[3760] Speed: 64.257525 samples/sec accuracy=46.741518 loss=2.300081 lr=0.061066 Epoch[103] Batch [3549]/[3760] Speed: 63.966606 samples/sec accuracy=46.735475 loss=2.300630 lr=0.061053 Epoch[103] Batch [3599]/[3760] Speed: 64.216448 samples/sec accuracy=46.730035 loss=2.300651 lr=0.061040 Epoch[103] Batch [3649]/[3760] Speed: 64.181319 samples/sec accuracy=46.723887 loss=2.301110 lr=0.061026 Epoch[103] Batch [3699]/[3760] Speed: 63.426539 samples/sec accuracy=46.740709 loss=2.300217 lr=0.061013 Epoch[103] Batch [3749]/[3760] Speed: 67.495278 samples/sec accuracy=46.721667 loss=2.300394 lr=0.061000 Batch [0049]/[0303]: acc-top1=45.531250 acc-top5=72.187500 Batch [0099]/[0303]: acc-top1=46.390625 acc-top5=72.734375 Batch [0149]/[0303]: acc-top1=46.302083 acc-top5=72.812500 Batch [0199]/[0303]: acc-top1=46.281250 acc-top5=73.140625 Batch [0249]/[0303]: acc-top1=46.668750 acc-top5=73.418750 Batch [0299]/[0303]: acc-top1=46.822917 acc-top5=73.500000 [Epoch 103] training: accuracy=46.720828 loss=2.300458 [Epoch 103] speed: 63 samples/sec time cost: 4049.894902 [Epoch 103] validation: acc-top1=46.880157 acc-top5=73.494224 loss=2.611553 Epoch[104] Batch [0049]/[3759] Speed: 41.969296 samples/sec accuracy=46.562500 loss=2.248639 lr=0.060984 Epoch[104] Batch [0099]/[3759] Speed: 62.387149 samples/sec accuracy=47.671875 loss=2.219534 lr=0.060971 Epoch[104] Batch [0149]/[3759] Speed: 64.485916 samples/sec accuracy=47.593750 loss=2.233130 lr=0.060957 Epoch[104] Batch [0199]/[3759] Speed: 64.108398 samples/sec accuracy=47.695312 loss=2.244844 lr=0.060944 Epoch[104] Batch [0249]/[3759] Speed: 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64.430253 samples/sec accuracy=46.834677 loss=2.290931 lr=0.060173 Epoch[104] Batch [3149]/[3759] Speed: 63.804153 samples/sec accuracy=46.821429 loss=2.292150 lr=0.060160 Epoch[104] Batch [3199]/[3759] Speed: 64.058680 samples/sec accuracy=46.831055 loss=2.291426 lr=0.060146 Epoch[104] Batch [3249]/[3759] Speed: 64.521327 samples/sec accuracy=46.829808 loss=2.291956 lr=0.060133 Epoch[104] Batch [3299]/[3759] Speed: 64.147433 samples/sec accuracy=46.822443 loss=2.292120 lr=0.060120 Epoch[104] Batch [3349]/[3759] Speed: 64.075133 samples/sec accuracy=46.823228 loss=2.291692 lr=0.060107 Epoch[104] Batch [3399]/[3759] Speed: 64.221333 samples/sec accuracy=46.831342 loss=2.291742 lr=0.060093 Epoch[104] Batch [3449]/[3759] Speed: 63.981914 samples/sec accuracy=46.812047 loss=2.293002 lr=0.060080 Epoch[104] Batch [3499]/[3759] Speed: 64.013481 samples/sec accuracy=46.812946 loss=2.292491 lr=0.060067 Epoch[104] Batch [3549]/[3759] Speed: 64.253296 samples/sec accuracy=46.822183 loss=2.292202 lr=0.060053 Epoch[104] Batch [3599]/[3759] Speed: 64.332981 samples/sec accuracy=46.822049 loss=2.292437 lr=0.060040 Epoch[104] Batch [3649]/[3759] Speed: 64.543238 samples/sec accuracy=46.823630 loss=2.292606 lr=0.060027 Epoch[104] Batch [3699]/[3759] Speed: 63.877927 samples/sec accuracy=46.831503 loss=2.291839 lr=0.060013 Epoch[104] Batch [3749]/[3759] Speed: 67.724555 samples/sec accuracy=46.812500 loss=2.292555 lr=0.060000 Batch [0049]/[0303]: acc-top1=45.843750 acc-top5=72.750000 Batch [0099]/[0303]: acc-top1=45.328125 acc-top5=72.796875 Batch [0149]/[0303]: acc-top1=45.447917 acc-top5=72.791667 Batch [0199]/[0303]: acc-top1=45.820312 acc-top5=72.937500 Batch [0249]/[0303]: acc-top1=46.143750 acc-top5=73.131250 Batch [0299]/[0303]: acc-top1=46.302083 acc-top5=73.130208 [Epoch 104] training: accuracy=46.809740 loss=2.292662 [Epoch 104] speed: 63 samples/sec time cost: 4051.324353 [Epoch 104] validation: acc-top1=46.328383 acc-top5=73.117781 loss=2.573335 Epoch[105] Batch 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accuracy=47.034981 loss=2.279359 lr=0.059105 Epoch[105] Batch [3399]/[3760] Speed: 64.531885 samples/sec accuracy=47.032169 loss=2.279333 lr=0.059092 Epoch[105] Batch [3449]/[3760] Speed: 64.159121 samples/sec accuracy=47.040308 loss=2.279349 lr=0.059079 Epoch[105] Batch [3499]/[3760] Speed: 63.650595 samples/sec accuracy=47.049554 loss=2.279284 lr=0.059066 Epoch[105] Batch [3549]/[3760] Speed: 64.963917 samples/sec accuracy=47.035211 loss=2.279794 lr=0.059052 Epoch[105] Batch [3599]/[3760] Speed: 64.166743 samples/sec accuracy=47.021267 loss=2.280855 lr=0.059039 Epoch[105] Batch [3649]/[3760] Speed: 64.422574 samples/sec accuracy=47.017123 loss=2.281700 lr=0.059026 Epoch[105] Batch [3699]/[3760] Speed: 63.466323 samples/sec accuracy=47.018159 loss=2.282135 lr=0.059012 Epoch[105] Batch [3749]/[3760] Speed: 67.650811 samples/sec accuracy=47.017917 loss=2.282312 lr=0.058999 Batch [0049]/[0303]: acc-top1=45.843750 acc-top5=72.687500 Batch [0099]/[0303]: acc-top1=45.812500 acc-top5=73.046875 Batch [0149]/[0303]: acc-top1=45.406250 acc-top5=72.906250 Batch [0199]/[0303]: acc-top1=45.320312 acc-top5=72.929688 Batch [0249]/[0303]: acc-top1=45.737500 acc-top5=73.031250 Batch [0299]/[0303]: acc-top1=45.781250 acc-top5=72.895833 [Epoch 105] training: accuracy=47.010888 loss=2.282452 [Epoch 105] speed: 63 samples/sec time cost: 4049.874917 [Epoch 105] validation: acc-top1=45.823020 acc-top5=72.916667 loss=2.580448 Epoch[106] Batch [0049]/[3760] Speed: 42.575137 samples/sec accuracy=47.875000 loss=2.253495 lr=0.058983 Epoch[106] Batch [0099]/[3760] Speed: 62.298601 samples/sec accuracy=48.437500 loss=2.216767 lr=0.058970 Epoch[106] Batch [0149]/[3760] Speed: 64.423968 samples/sec accuracy=48.375000 loss=2.216263 lr=0.058956 Epoch[106] Batch [0199]/[3760] Speed: 63.658967 samples/sec accuracy=48.179688 loss=2.217089 lr=0.058943 Epoch[106] Batch [0249]/[3760] Speed: 63.679799 samples/sec accuracy=48.168750 loss=2.221250 lr=0.058930 Epoch[106] Batch [0299]/[3760] 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accuracy=47.435662 loss=2.253128 lr=0.058543 Epoch[106] Batch [1749]/[3760] Speed: 64.543332 samples/sec accuracy=47.416071 loss=2.253820 lr=0.058530 Epoch[106] Batch [1799]/[3760] Speed: 63.419737 samples/sec accuracy=47.372396 loss=2.254950 lr=0.058516 Epoch[106] Batch [1849]/[3760] Speed: 64.805445 samples/sec accuracy=47.369932 loss=2.254260 lr=0.058503 Epoch[106] Batch [1899]/[3760] Speed: 64.483889 samples/sec accuracy=47.374178 loss=2.255186 lr=0.058490 Epoch[106] Batch [1949]/[3760] Speed: 64.325991 samples/sec accuracy=47.384615 loss=2.255204 lr=0.058476 Epoch[106] Batch [1999]/[3760] Speed: 63.444849 samples/sec accuracy=47.392969 loss=2.255592 lr=0.058463 Epoch[106] Batch [2049]/[3760] Speed: 64.649295 samples/sec accuracy=47.383384 loss=2.256128 lr=0.058450 Epoch[106] Batch [2099]/[3760] Speed: 64.400316 samples/sec accuracy=47.327381 loss=2.259648 lr=0.058436 Epoch[106] Batch [2149]/[3760] Speed: 63.507256 samples/sec accuracy=47.307413 loss=2.260914 lr=0.058423 Epoch[106] 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accuracy=47.320165 loss=2.262732 lr=0.058290 Epoch[106] Batch [2699]/[3760] Speed: 63.941062 samples/sec accuracy=47.302662 loss=2.264358 lr=0.058276 Epoch[106] Batch [2749]/[3760] Speed: 64.409449 samples/sec accuracy=47.286932 loss=2.264993 lr=0.058263 Epoch[106] Batch [2799]/[3760] Speed: 64.499292 samples/sec accuracy=47.265067 loss=2.266062 lr=0.058250 Epoch[106] Batch [2849]/[3760] Speed: 63.375220 samples/sec accuracy=47.256579 loss=2.266944 lr=0.058236 Epoch[106] Batch [2899]/[3760] Speed: 64.531952 samples/sec accuracy=47.239224 loss=2.267251 lr=0.058223 Epoch[106] Batch [2949]/[3760] Speed: 64.091585 samples/sec accuracy=47.253708 loss=2.266451 lr=0.058210 Epoch[106] Batch [2999]/[3760] Speed: 64.079365 samples/sec accuracy=47.247917 loss=2.266942 lr=0.058196 Epoch[106] Batch [3049]/[3760] Speed: 63.684306 samples/sec accuracy=47.247439 loss=2.267486 lr=0.058183 Epoch[106] Batch [3099]/[3760] Speed: 64.693556 samples/sec accuracy=47.222782 loss=2.267886 lr=0.058170 Epoch[106] Batch [3149]/[3760] Speed: 64.021059 samples/sec accuracy=47.207341 loss=2.268547 lr=0.058156 Epoch[106] Batch [3199]/[3760] Speed: 63.582231 samples/sec accuracy=47.195801 loss=2.268709 lr=0.058143 Epoch[106] Batch [3249]/[3760] Speed: 64.421457 samples/sec accuracy=47.203365 loss=2.268703 lr=0.058130 Epoch[106] Batch [3299]/[3760] Speed: 64.943191 samples/sec accuracy=47.186553 loss=2.269378 lr=0.058116 Epoch[106] Batch [3349]/[3760] Speed: 63.953406 samples/sec accuracy=47.168377 loss=2.270055 lr=0.058103 Epoch[106] Batch [3399]/[3760] Speed: 63.923618 samples/sec accuracy=47.168199 loss=2.269852 lr=0.058089 Epoch[106] Batch [3449]/[3760] Speed: 64.096753 samples/sec accuracy=47.176178 loss=2.269668 lr=0.058076 Epoch[106] Batch [3499]/[3760] Speed: 64.469841 samples/sec accuracy=47.193304 loss=2.269566 lr=0.058063 Epoch[106] Batch [3549]/[3760] Speed: 63.436637 samples/sec accuracy=47.194542 loss=2.269536 lr=0.058049 Epoch[106] Batch [3599]/[3760] Speed: 64.287557 samples/sec accuracy=47.167969 loss=2.270828 lr=0.058036 Epoch[106] Batch [3649]/[3760] Speed: 64.214937 samples/sec accuracy=47.148973 loss=2.270914 lr=0.058023 Epoch[106] Batch [3699]/[3760] Speed: 64.204257 samples/sec accuracy=47.131334 loss=2.271456 lr=0.058009 Epoch[106] Batch [3749]/[3760] Speed: 67.408895 samples/sec accuracy=47.140417 loss=2.271483 lr=0.057996 Batch [0049]/[0303]: acc-top1=48.000000 acc-top5=73.750000 Batch [0099]/[0303]: acc-top1=48.109375 acc-top5=73.984375 Batch [0149]/[0303]: acc-top1=47.895833 acc-top5=74.125000 Batch [0199]/[0303]: acc-top1=47.789062 acc-top5=74.171875 Batch [0249]/[0303]: acc-top1=48.025000 acc-top5=74.450000 Batch [0299]/[0303]: acc-top1=48.067708 acc-top5=74.473958 [Epoch 106] training: accuracy=47.142620 loss=2.271372 [Epoch 106] speed: 63 samples/sec time cost: 4051.392685 [Epoch 106] validation: acc-top1=48.086840 acc-top5=74.484323 loss=2.440559 Epoch[107] Batch [0049]/[3759] Speed: 42.912635 samples/sec accuracy=47.625000 loss=2.232054 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acc-top1=46.007812 acc-top5=72.218750 Batch [0249]/[0303]: acc-top1=46.187500 acc-top5=72.362500 Batch [0299]/[0303]: acc-top1=46.166667 acc-top5=72.385417 [Epoch 107] training: accuracy=47.340134 loss=2.262130 [Epoch 107] speed: 63 samples/sec time cost: 4041.903972 [Epoch 107] validation: acc-top1=46.183993 acc-top5=72.395833 loss=2.580744 Epoch[108] Batch [0049]/[3760] Speed: 42.027316 samples/sec accuracy=47.500000 loss=2.233690 lr=0.056977 Epoch[108] Batch [0099]/[3760] Speed: 62.945474 samples/sec accuracy=47.546875 loss=2.251848 lr=0.056963 Epoch[108] Batch [0149]/[3760] Speed: 64.481490 samples/sec accuracy=47.562500 loss=2.247187 lr=0.056950 Epoch[108] Batch [0199]/[3760] Speed: 62.911468 samples/sec accuracy=48.234375 loss=2.221235 lr=0.056936 Epoch[108] Batch [0249]/[3760] Speed: 65.666509 samples/sec accuracy=48.618750 loss=2.203384 lr=0.056923 Epoch[108] Batch [0299]/[3760] Speed: 64.071009 samples/sec accuracy=48.411458 loss=2.214973 lr=0.056910 Epoch[108] Batch 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accuracy=47.835938 loss=2.241750 lr=0.056776 Epoch[108] Batch [0849]/[3760] Speed: 64.438118 samples/sec accuracy=47.823529 loss=2.243075 lr=0.056763 Epoch[108] Batch [0899]/[3760] Speed: 63.947180 samples/sec accuracy=47.803819 loss=2.243450 lr=0.056750 Epoch[108] Batch [0949]/[3760] Speed: 65.469372 samples/sec accuracy=47.761513 loss=2.244994 lr=0.056736 Epoch[108] Batch [0999]/[3760] Speed: 64.779752 samples/sec accuracy=47.698438 loss=2.247064 lr=0.056723 Epoch[108] Batch [1049]/[3760] Speed: 65.222224 samples/sec accuracy=47.691964 loss=2.247726 lr=0.056709 Epoch[108] Batch [1099]/[3760] Speed: 64.126329 samples/sec accuracy=47.715909 loss=2.245292 lr=0.056696 Epoch[108] Batch [1149]/[3760] Speed: 65.143660 samples/sec accuracy=47.629076 loss=2.246394 lr=0.056683 Epoch[108] Batch [1199]/[3760] Speed: 64.827828 samples/sec accuracy=47.643229 loss=2.246017 lr=0.056669 Epoch[108] Batch [1249]/[3760] Speed: 64.978252 samples/sec accuracy=47.670000 loss=2.247583 lr=0.056656 Epoch[108] 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accuracy=47.626786 loss=2.249517 lr=0.056522 Epoch[108] Batch [1799]/[3760] Speed: 64.745286 samples/sec accuracy=47.557292 loss=2.251170 lr=0.056509 Epoch[108] Batch [1849]/[3760] Speed: 64.759532 samples/sec accuracy=47.528716 loss=2.251534 lr=0.056496 Epoch[108] Batch [1899]/[3760] Speed: 64.920888 samples/sec accuracy=47.532072 loss=2.252477 lr=0.056482 Epoch[108] Batch [1949]/[3760] Speed: 64.507240 samples/sec accuracy=47.549679 loss=2.252036 lr=0.056469 Epoch[108] Batch [1999]/[3760] Speed: 64.390978 samples/sec accuracy=47.532031 loss=2.252493 lr=0.056456 Epoch[108] Batch [2049]/[3760] Speed: 64.936635 samples/sec accuracy=47.504573 loss=2.253616 lr=0.056442 Epoch[108] Batch [2099]/[3760] Speed: 64.458956 samples/sec accuracy=47.504464 loss=2.253949 lr=0.056429 Epoch[108] Batch [2149]/[3760] Speed: 64.144532 samples/sec accuracy=47.464390 loss=2.254623 lr=0.056416 Epoch[108] Batch [2199]/[3760] Speed: 64.494946 samples/sec accuracy=47.444602 loss=2.255235 lr=0.056402 Epoch[108] 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accuracy=47.336806 loss=2.258497 lr=0.056269 Epoch[108] Batch [2749]/[3760] Speed: 64.821943 samples/sec accuracy=47.318750 loss=2.258864 lr=0.056255 Epoch[108] Batch [2799]/[3760] Speed: 65.178391 samples/sec accuracy=47.326451 loss=2.258386 lr=0.056242 Epoch[108] Batch [2849]/[3760] Speed: 63.861083 samples/sec accuracy=47.331689 loss=2.258134 lr=0.056229 Epoch[108] Batch [2899]/[3760] Speed: 65.219307 samples/sec accuracy=47.346983 loss=2.258208 lr=0.056215 Epoch[108] Batch [2949]/[3760] Speed: 64.444686 samples/sec accuracy=47.350636 loss=2.258221 lr=0.056202 Epoch[108] Batch [2999]/[3760] Speed: 64.542537 samples/sec accuracy=47.378646 loss=2.256848 lr=0.056188 Epoch[108] Batch [3049]/[3760] Speed: 63.948913 samples/sec accuracy=47.430328 loss=2.256076 lr=0.056175 Epoch[108] Batch [3099]/[3760] Speed: 64.829490 samples/sec accuracy=47.420363 loss=2.256610 lr=0.056162 Epoch[108] Batch [3149]/[3760] Speed: 64.814977 samples/sec accuracy=47.400794 loss=2.257160 lr=0.056148 Epoch[108] Batch [3199]/[3760] Speed: 64.235888 samples/sec accuracy=47.407227 loss=2.256925 lr=0.056135 Epoch[108] Batch [3249]/[3760] Speed: 65.184488 samples/sec accuracy=47.402404 loss=2.257257 lr=0.056122 Epoch[108] Batch [3299]/[3760] Speed: 64.422217 samples/sec accuracy=47.391572 loss=2.258154 lr=0.056108 Epoch[108] Batch [3349]/[3760] Speed: 64.725405 samples/sec accuracy=47.395989 loss=2.258264 lr=0.056095 Epoch[108] Batch [3399]/[3760] Speed: 64.096704 samples/sec accuracy=47.409007 loss=2.257241 lr=0.056082 Epoch[108] Batch [3449]/[3760] Speed: 65.097198 samples/sec accuracy=47.416667 loss=2.256350 lr=0.056068 Epoch[108] Batch [3499]/[3760] Speed: 64.791482 samples/sec accuracy=47.412946 loss=2.256376 lr=0.056055 Epoch[108] Batch [3549]/[3760] Speed: 64.125009 samples/sec accuracy=47.405370 loss=2.256527 lr=0.056042 Epoch[108] Batch [3599]/[3760] Speed: 65.083545 samples/sec accuracy=47.421441 loss=2.256242 lr=0.056028 Epoch[108] Batch [3649]/[3760] Speed: 64.782148 samples/sec accuracy=47.419949 loss=2.256816 lr=0.056015 Epoch[108] Batch [3699]/[3760] Speed: 64.972977 samples/sec accuracy=47.407517 loss=2.257031 lr=0.056001 Epoch[108] Batch [3749]/[3760] Speed: 67.298782 samples/sec accuracy=47.402083 loss=2.257856 lr=0.055988 Batch [0049]/[0303]: acc-top1=46.156250 acc-top5=71.937500 Batch [0099]/[0303]: acc-top1=46.125000 acc-top5=72.609375 Batch [0149]/[0303]: acc-top1=46.750000 acc-top5=72.645833 Batch [0199]/[0303]: acc-top1=46.796875 acc-top5=73.039062 Batch [0249]/[0303]: acc-top1=47.243750 acc-top5=73.475000 Batch [0299]/[0303]: acc-top1=47.093750 acc-top5=73.437500 [Epoch 108] training: accuracy=47.411902 loss=2.257446 [Epoch 108] speed: 64 samples/sec time cost: 4027.930590 [Epoch 108] validation: acc-top1=47.076114 acc-top5=73.458127 loss=2.469814 Epoch[109] Batch [0049]/[3760] Speed: 42.695573 samples/sec accuracy=49.187500 loss=2.174660 lr=0.055972 Epoch[109] Batch [0099]/[3760] Speed: 62.448597 samples/sec accuracy=48.765625 loss=2.208695 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[0299]/[0303]: acc-top1=47.859375 acc-top5=74.260417 [Epoch 109] training: accuracy=47.747257 loss=2.245747 [Epoch 109] speed: 64 samples/sec time cost: 4022.734470 [Epoch 109] validation: acc-top1=47.859942 acc-top5=74.257426 loss=2.410580 Epoch[110] Batch [0049]/[3759] Speed: 42.570270 samples/sec accuracy=49.781250 loss=2.172350 lr=0.054967 Epoch[110] Batch [0099]/[3759] Speed: 61.069899 samples/sec accuracy=48.421875 loss=2.214479 lr=0.054954 Epoch[110] Batch [0149]/[3759] Speed: 64.959613 samples/sec accuracy=48.781250 loss=2.178127 lr=0.054941 Epoch[110] Batch [0199]/[3759] Speed: 63.523802 samples/sec accuracy=48.851562 loss=2.179592 lr=0.054927 Epoch[110] Batch [0249]/[3759] Speed: 65.309891 samples/sec accuracy=48.868750 loss=2.184318 lr=0.054914 Epoch[110] Batch [0299]/[3759] Speed: 63.630291 samples/sec accuracy=49.036458 loss=2.177817 lr=0.054900 Epoch[110] Batch [0349]/[3759] Speed: 64.844804 samples/sec accuracy=48.875000 loss=2.188274 lr=0.054887 Epoch[110] Batch 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accuracy=48.580882 loss=2.205389 lr=0.054753 Epoch[110] Batch [0899]/[3759] Speed: 64.737239 samples/sec accuracy=48.604167 loss=2.204129 lr=0.054740 Epoch[110] Batch [0949]/[3759] Speed: 64.948666 samples/sec accuracy=48.661184 loss=2.203352 lr=0.054727 Epoch[110] Batch [0999]/[3759] Speed: 63.986732 samples/sec accuracy=48.646875 loss=2.202847 lr=0.054713 Epoch[110] Batch [1049]/[3759] Speed: 65.109842 samples/sec accuracy=48.608631 loss=2.204481 lr=0.054700 Epoch[110] Batch [1099]/[3759] Speed: 64.703668 samples/sec accuracy=48.589489 loss=2.204601 lr=0.054687 Epoch[110] Batch [1149]/[3759] Speed: 64.741618 samples/sec accuracy=48.561141 loss=2.204432 lr=0.054673 Epoch[110] Batch [1199]/[3759] Speed: 64.004125 samples/sec accuracy=48.605469 loss=2.203139 lr=0.054660 Epoch[110] Batch [1249]/[3759] Speed: 65.153455 samples/sec accuracy=48.576250 loss=2.204274 lr=0.054647 Epoch[110] Batch [1299]/[3759] Speed: 64.517687 samples/sec accuracy=48.548077 loss=2.206835 lr=0.054633 Epoch[110] 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accuracy=48.335938 loss=2.216077 lr=0.054500 Epoch[110] Batch [1849]/[3759] Speed: 64.978576 samples/sec accuracy=48.339527 loss=2.217215 lr=0.054486 Epoch[110] Batch [1899]/[3759] Speed: 63.848419 samples/sec accuracy=48.295230 loss=2.219331 lr=0.054473 Epoch[110] Batch [1949]/[3759] Speed: 64.987775 samples/sec accuracy=48.277244 loss=2.219750 lr=0.054460 Epoch[110] Batch [1999]/[3759] Speed: 64.718366 samples/sec accuracy=48.239844 loss=2.220937 lr=0.054446 Epoch[110] Batch [2049]/[3759] Speed: 64.648632 samples/sec accuracy=48.207317 loss=2.222747 lr=0.054433 Epoch[110] Batch [2099]/[3759] Speed: 64.361845 samples/sec accuracy=48.216518 loss=2.223038 lr=0.054419 Epoch[110] Batch [2149]/[3759] Speed: 64.647285 samples/sec accuracy=48.202762 loss=2.223358 lr=0.054406 Epoch[110] Batch [2199]/[3759] Speed: 65.144555 samples/sec accuracy=48.225142 loss=2.222196 lr=0.054393 Epoch[110] Batch [2249]/[3759] Speed: 63.371495 samples/sec accuracy=48.246528 loss=2.221560 lr=0.054379 Epoch[110] 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accuracy=48.115909 loss=2.229570 lr=0.054246 Epoch[110] Batch [2799]/[3759] Speed: 64.390975 samples/sec accuracy=48.103237 loss=2.230143 lr=0.054232 Epoch[110] Batch [2849]/[3759] Speed: 64.945894 samples/sec accuracy=48.128289 loss=2.229787 lr=0.054219 Epoch[110] Batch [2899]/[3759] Speed: 64.733916 samples/sec accuracy=48.143319 loss=2.229098 lr=0.054206 Epoch[110] Batch [2949]/[3759] Speed: 65.033279 samples/sec accuracy=48.129767 loss=2.229595 lr=0.054192 Epoch[110] Batch [2999]/[3759] Speed: 64.151092 samples/sec accuracy=48.123958 loss=2.230046 lr=0.054179 Epoch[110] Batch [3049]/[3759] Speed: 64.616734 samples/sec accuracy=48.114754 loss=2.230903 lr=0.054166 Epoch[110] Batch [3099]/[3759] Speed: 64.613600 samples/sec accuracy=48.116935 loss=2.231802 lr=0.054152 Epoch[110] Batch [3149]/[3759] Speed: 64.305488 samples/sec accuracy=48.108631 loss=2.231372 lr=0.054139 Epoch[110] Batch [3199]/[3759] Speed: 65.185627 samples/sec accuracy=48.092773 loss=2.232248 lr=0.054125 Epoch[110] 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accuracy=48.062500 loss=2.233759 lr=0.053992 Epoch[110] Batch [3749]/[3759] Speed: 68.260849 samples/sec accuracy=48.037500 loss=2.234748 lr=0.053979 Batch [0049]/[0303]: acc-top1=47.812500 acc-top5=73.406250 Batch [0099]/[0303]: acc-top1=47.375000 acc-top5=73.375000 Batch [0149]/[0303]: acc-top1=47.197917 acc-top5=73.197917 Batch [0199]/[0303]: acc-top1=47.257812 acc-top5=73.453125 Batch [0249]/[0303]: acc-top1=47.537500 acc-top5=73.743750 Batch [0299]/[0303]: acc-top1=47.552083 acc-top5=73.760417 [Epoch 110] training: accuracy=48.036379 loss=2.234643 [Epoch 110] speed: 64 samples/sec time cost: 4024.998874 [Epoch 110] validation: acc-top1=47.545380 acc-top5=73.793317 loss=2.476535 Epoch[111] Batch [0049]/[3760] Speed: 42.659712 samples/sec accuracy=47.968750 loss=2.169183 lr=0.053963 Epoch[111] Batch [0099]/[3760] Speed: 61.329750 samples/sec accuracy=48.515625 loss=2.173229 lr=0.053949 Epoch[111] Batch [0149]/[3760] Speed: 64.929145 samples/sec accuracy=48.135417 loss=2.189008 lr=0.053936 Epoch[111] Batch [0199]/[3760] Speed: 63.744993 samples/sec accuracy=48.640625 loss=2.190595 lr=0.053923 Epoch[111] Batch [0249]/[3760] Speed: 65.130459 samples/sec accuracy=48.806250 loss=2.185544 lr=0.053909 Epoch[111] Batch [0299]/[3760] Speed: 63.522017 samples/sec accuracy=49.171875 loss=2.170980 lr=0.053896 Epoch[111] Batch [0349]/[3760] Speed: 64.958635 samples/sec accuracy=48.736607 loss=2.186566 lr=0.053883 Epoch[111] Batch [0399]/[3760] Speed: 64.736680 samples/sec accuracy=48.597656 loss=2.190320 lr=0.053869 Epoch[111] Batch [0449]/[3760] Speed: 64.475588 samples/sec accuracy=48.527778 loss=2.191747 lr=0.053856 Epoch[111] Batch [0499]/[3760] Speed: 64.064488 samples/sec accuracy=48.590625 loss=2.188926 lr=0.053843 Epoch[111] Batch [0549]/[3760] Speed: 64.680148 samples/sec accuracy=48.605114 loss=2.189471 lr=0.053829 Epoch[111] Batch [0599]/[3760] Speed: 64.776656 samples/sec accuracy=48.632812 loss=2.190070 lr=0.053816 Epoch[111] Batch [0649]/[3760] Speed: 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lr=0.053682 Epoch[111] Batch [1149]/[3760] Speed: 64.881884 samples/sec accuracy=48.403533 loss=2.200747 lr=0.053669 Epoch[111] Batch [1199]/[3760] Speed: 64.232382 samples/sec accuracy=48.326823 loss=2.204606 lr=0.053655 Epoch[111] Batch [1249]/[3760] Speed: 64.511978 samples/sec accuracy=48.212500 loss=2.210453 lr=0.053642 Epoch[111] Batch [1299]/[3760] Speed: 64.354221 samples/sec accuracy=48.213942 loss=2.210304 lr=0.053629 Epoch[111] Batch [1349]/[3760] Speed: 65.314408 samples/sec accuracy=48.192130 loss=2.211559 lr=0.053615 Epoch[111] Batch [1399]/[3760] Speed: 64.381100 samples/sec accuracy=48.213170 loss=2.210476 lr=0.053602 Epoch[111] Batch [1449]/[3760] Speed: 65.066896 samples/sec accuracy=48.199353 loss=2.212022 lr=0.053589 Epoch[111] Batch [1499]/[3760] Speed: 64.741567 samples/sec accuracy=48.182292 loss=2.213514 lr=0.053575 Epoch[111] Batch [1549]/[3760] Speed: 63.652708 samples/sec accuracy=48.167339 loss=2.213275 lr=0.053562 Epoch[111] Batch [1599]/[3760] Speed: 65.274316 samples/sec accuracy=48.126953 loss=2.214592 lr=0.053549 Epoch[111] Batch [1649]/[3760] Speed: 64.689423 samples/sec accuracy=48.103220 loss=2.215319 lr=0.053535 Epoch[111] Batch [1699]/[3760] Speed: 64.820560 samples/sec accuracy=48.112132 loss=2.214756 lr=0.053522 Epoch[111] Batch [1749]/[3760] Speed: 64.240388 samples/sec accuracy=48.119643 loss=2.214907 lr=0.053509 Epoch[111] Batch [1799]/[3760] Speed: 64.773979 samples/sec accuracy=48.098958 loss=2.215493 lr=0.053495 Epoch[111] Batch [1849]/[3760] Speed: 64.940568 samples/sec accuracy=48.099662 loss=2.216794 lr=0.053482 Epoch[111] Batch [1899]/[3760] Speed: 63.779888 samples/sec accuracy=48.099507 loss=2.217832 lr=0.053468 Epoch[111] Batch [1949]/[3760] Speed: 65.639637 samples/sec accuracy=48.114583 loss=2.218025 lr=0.053455 Epoch[111] Batch [1999]/[3760] Speed: 64.520722 samples/sec accuracy=48.141406 loss=2.217930 lr=0.053442 Epoch[111] Batch [2049]/[3760] Speed: 65.036022 samples/sec accuracy=48.123476 loss=2.218380 lr=0.053428 Epoch[111] Batch [2099]/[3760] Speed: 64.296077 samples/sec accuracy=48.122768 loss=2.218243 lr=0.053415 Epoch[111] Batch [2149]/[3760] Speed: 64.934015 samples/sec accuracy=48.082849 loss=2.219285 lr=0.053402 Epoch[111] Batch [2199]/[3760] Speed: 64.647595 samples/sec accuracy=48.081676 loss=2.220292 lr=0.053388 Epoch[111] Batch [2249]/[3760] Speed: 64.832302 samples/sec accuracy=48.115278 loss=2.220844 lr=0.053375 Epoch[111] Batch [2299]/[3760] Speed: 64.513068 samples/sec accuracy=48.118207 loss=2.219808 lr=0.053362 Epoch[111] Batch [2349]/[3760] Speed: 64.724107 samples/sec accuracy=48.112367 loss=2.220280 lr=0.053348 Epoch[111] Batch [2399]/[3760] Speed: 65.220686 samples/sec accuracy=48.110026 loss=2.220449 lr=0.053335 Epoch[111] Batch [2449]/[3760] Speed: 63.983121 samples/sec accuracy=48.119260 loss=2.220978 lr=0.053322 Epoch[111] Batch [2499]/[3760] Speed: 65.595821 samples/sec accuracy=48.080625 loss=2.222774 lr=0.053308 Epoch[111] Batch [2549]/[3760] Speed: 64.612189 samples/sec accuracy=48.093750 loss=2.222624 lr=0.053295 Epoch[111] Batch [2599]/[3760] Speed: 64.570279 samples/sec accuracy=48.060096 loss=2.223604 lr=0.053281 Epoch[111] Batch [2649]/[3760] Speed: 64.310744 samples/sec accuracy=48.044222 loss=2.223923 lr=0.053268 Epoch[111] Batch [2699]/[3760] Speed: 64.642166 samples/sec accuracy=48.061921 loss=2.223252 lr=0.053255 Epoch[111] Batch [2749]/[3760] Speed: 64.921575 samples/sec accuracy=48.062500 loss=2.223501 lr=0.053241 Epoch[111] Batch [2799]/[3760] Speed: 64.514901 samples/sec accuracy=48.059710 loss=2.223785 lr=0.053228 Epoch[111] Batch [2849]/[3760] Speed: 64.206580 samples/sec accuracy=48.071272 loss=2.223916 lr=0.053215 Epoch[111] Batch [2899]/[3760] Speed: 64.933141 samples/sec accuracy=48.044720 loss=2.224263 lr=0.053201 Epoch[111] Batch [2949]/[3760] Speed: 64.686786 samples/sec accuracy=48.030720 loss=2.224735 lr=0.053188 Epoch[111] Batch [2999]/[3760] Speed: 64.471618 samples/sec accuracy=48.021354 loss=2.224740 lr=0.053175 Epoch[111] Batch [3049]/[3760] Speed: 64.597124 samples/sec accuracy=48.027152 loss=2.224005 lr=0.053161 Epoch[111] Batch [3099]/[3760] Speed: 65.340818 samples/sec accuracy=48.040827 loss=2.223367 lr=0.053148 Epoch[111] Batch [3149]/[3760] Speed: 64.414850 samples/sec accuracy=48.027282 loss=2.223873 lr=0.053135 Epoch[111] Batch [3199]/[3760] Speed: 64.215029 samples/sec accuracy=48.024902 loss=2.224271 lr=0.053121 Epoch[111] Batch [3249]/[3760] Speed: 64.424931 samples/sec accuracy=48.008654 loss=2.224666 lr=0.053108 Epoch[111] Batch [3299]/[3760] Speed: 64.567337 samples/sec accuracy=48.023674 loss=2.223974 lr=0.053095 Epoch[111] Batch [3349]/[3760] Speed: 63.583008 samples/sec accuracy=48.025653 loss=2.223876 lr=0.053081 Epoch[111] Batch [3399]/[3760] Speed: 65.448971 samples/sec accuracy=48.019301 loss=2.224560 lr=0.053068 Epoch[111] Batch [3449]/[3760] Speed: 64.836798 samples/sec accuracy=48.026721 loss=2.223998 lr=0.053054 Epoch[111] Batch [3499]/[3760] Speed: 64.680274 samples/sec accuracy=48.006696 loss=2.224811 lr=0.053041 Epoch[111] Batch [3549]/[3760] Speed: 64.135793 samples/sec accuracy=48.008803 loss=2.224711 lr=0.053028 Epoch[111] Batch [3599]/[3760] Speed: 64.904723 samples/sec accuracy=48.015625 loss=2.224649 lr=0.053014 Epoch[111] Batch [3649]/[3760] Speed: 65.017136 samples/sec accuracy=48.004281 loss=2.224992 lr=0.053001 Epoch[111] Batch [3699]/[3760] Speed: 64.804924 samples/sec accuracy=48.019426 loss=2.225087 lr=0.052988 Epoch[111] Batch [3749]/[3760] Speed: 67.862725 samples/sec accuracy=48.020000 loss=2.224992 lr=0.052974 Batch [0049]/[0303]: acc-top1=46.281250 acc-top5=72.656250 Batch [0099]/[0303]: acc-top1=46.515625 acc-top5=72.890625 Batch [0149]/[0303]: acc-top1=46.625000 acc-top5=72.843750 Batch [0199]/[0303]: acc-top1=46.976562 acc-top5=73.125000 Batch [0249]/[0303]: acc-top1=47.168750 acc-top5=73.193750 Batch [0299]/[0303]: acc-top1=47.322917 acc-top5=73.140625 [Epoch 111] training: accuracy=48.025682 loss=2.224770 [Epoch 111] speed: 64 samples/sec time cost: 4027.456867 [Epoch 111] validation: acc-top1=47.272071 acc-top5=73.102310 loss=2.671570 Epoch[112] Batch [0049]/[3760] Speed: 42.806745 samples/sec accuracy=49.625000 loss=2.171554 lr=0.052958 Epoch[112] Batch [0099]/[3760] Speed: 62.812734 samples/sec accuracy=49.406250 loss=2.185988 lr=0.052945 Epoch[112] Batch [0149]/[3760] Speed: 63.756402 samples/sec accuracy=49.177083 loss=2.187568 lr=0.052932 Epoch[112] Batch [0199]/[3760] Speed: 64.459143 samples/sec accuracy=48.742188 loss=2.204653 lr=0.052918 Epoch[112] Batch [0249]/[3760] Speed: 65.184764 samples/sec accuracy=48.850000 loss=2.196680 lr=0.052905 Epoch[112] Batch [0299]/[3760] Speed: 64.341328 samples/sec accuracy=48.723958 loss=2.199606 lr=0.052892 Epoch[112] Batch [0349]/[3760] Speed: 64.275955 samples/sec accuracy=48.696429 loss=2.199401 lr=0.052878 Epoch[112] Batch [0399]/[3760] Speed: 64.761611 samples/sec accuracy=48.566406 loss=2.201133 lr=0.052865 Epoch[112] Batch 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accuracy=48.376736 loss=2.208434 lr=0.052731 Epoch[112] Batch [0949]/[3760] Speed: 64.660514 samples/sec accuracy=48.465461 loss=2.204820 lr=0.052718 Epoch[112] Batch [0999]/[3760] Speed: 64.778268 samples/sec accuracy=48.406250 loss=2.204151 lr=0.052705 Epoch[112] Batch [1049]/[3760] Speed: 64.579136 samples/sec accuracy=48.348214 loss=2.207534 lr=0.052691 Epoch[112] Batch [1099]/[3760] Speed: 65.160488 samples/sec accuracy=48.379261 loss=2.207317 lr=0.052678 Epoch[112] Batch [1149]/[3760] Speed: 64.249466 samples/sec accuracy=48.370924 loss=2.207419 lr=0.052665 Epoch[112] Batch [1199]/[3760] Speed: 64.928674 samples/sec accuracy=48.361979 loss=2.206035 lr=0.052651 Epoch[112] Batch [1249]/[3760] Speed: 64.398511 samples/sec accuracy=48.358750 loss=2.207016 lr=0.052638 Epoch[112] Batch [1299]/[3760] Speed: 65.032381 samples/sec accuracy=48.388221 loss=2.206881 lr=0.052625 Epoch[112] Batch [1349]/[3760] Speed: 64.651279 samples/sec accuracy=48.354167 loss=2.207722 lr=0.052611 Epoch[112] Batch [1399]/[3760] Speed: 63.657169 samples/sec accuracy=48.396205 loss=2.206859 lr=0.052598 Epoch[112] Batch [1449]/[3760] Speed: 65.470320 samples/sec accuracy=48.382543 loss=2.207016 lr=0.052584 Epoch[112] Batch [1499]/[3760] Speed: 64.975386 samples/sec accuracy=48.402083 loss=2.207198 lr=0.052571 Epoch[112] Batch [1549]/[3760] Speed: 64.618011 samples/sec accuracy=48.381048 loss=2.207648 lr=0.052558 Epoch[112] Batch [1599]/[3760] Speed: 64.227234 samples/sec accuracy=48.397461 loss=2.206292 lr=0.052544 Epoch[112] Batch [1649]/[3760] Speed: 64.700293 samples/sec accuracy=48.383523 loss=2.207737 lr=0.052531 Epoch[112] Batch [1699]/[3760] Speed: 65.375880 samples/sec accuracy=48.413603 loss=2.207216 lr=0.052518 Epoch[112] Batch [1749]/[3760] Speed: 64.600314 samples/sec accuracy=48.434821 loss=2.206725 lr=0.052504 Epoch[112] Batch [1799]/[3760] Speed: 64.430531 samples/sec accuracy=48.435764 loss=2.206954 lr=0.052491 Epoch[112] Batch [1849]/[3760] Speed: 65.072197 samples/sec accuracy=48.456081 loss=2.205839 lr=0.052478 Epoch[112] Batch [1899]/[3760] Speed: 64.814225 samples/sec accuracy=48.430099 loss=2.207323 lr=0.052464 Epoch[112] Batch [1949]/[3760] Speed: 64.242802 samples/sec accuracy=48.440705 loss=2.207009 lr=0.052451 Epoch[112] Batch [1999]/[3760] Speed: 65.352312 samples/sec accuracy=48.425781 loss=2.208195 lr=0.052438 Epoch[112] Batch [2049]/[3760] Speed: 64.700642 samples/sec accuracy=48.479421 loss=2.206865 lr=0.052424 Epoch[112] Batch [2099]/[3760] Speed: 64.994655 samples/sec accuracy=48.493304 loss=2.207340 lr=0.052411 Epoch[112] Batch [2149]/[3760] Speed: 64.328313 samples/sec accuracy=48.465843 loss=2.207284 lr=0.052398 Epoch[112] Batch [2199]/[3760] Speed: 64.931543 samples/sec accuracy=48.475142 loss=2.207208 lr=0.052384 Epoch[112] Batch [2249]/[3760] Speed: 65.189016 samples/sec accuracy=48.458333 loss=2.208526 lr=0.052371 Epoch[112] Batch [2299]/[3760] Speed: 65.055072 samples/sec accuracy=48.475543 loss=2.208416 lr=0.052358 Epoch[112] Batch [2349]/[3760] Speed: 64.625983 samples/sec accuracy=48.424202 loss=2.210304 lr=0.052344 Epoch[112] Batch [2399]/[3760] Speed: 64.959235 samples/sec accuracy=48.431641 loss=2.211003 lr=0.052331 Epoch[112] Batch [2449]/[3760] Speed: 64.966501 samples/sec accuracy=48.431760 loss=2.211660 lr=0.052318 Epoch[112] Batch [2499]/[3760] Speed: 64.255513 samples/sec accuracy=48.449375 loss=2.211464 lr=0.052304 Epoch[112] Batch [2549]/[3760] Speed: 65.327682 samples/sec accuracy=48.449142 loss=2.211453 lr=0.052291 Epoch[112] Batch [2599]/[3760] Speed: 65.147968 samples/sec accuracy=48.447115 loss=2.212222 lr=0.052277 Epoch[112] Batch [2649]/[3760] Speed: 64.743687 samples/sec accuracy=48.447524 loss=2.212391 lr=0.052264 Epoch[112] Batch [2699]/[3760] Speed: 64.066982 samples/sec accuracy=48.439236 loss=2.213544 lr=0.052251 Epoch[112] Batch [2749]/[3760] Speed: 64.841354 samples/sec accuracy=48.452273 loss=2.213098 lr=0.052237 Epoch[112] Batch [2799]/[3760] Speed: 64.638885 samples/sec accuracy=48.459263 loss=2.212542 lr=0.052224 Epoch[112] Batch [2849]/[3760] Speed: 64.749722 samples/sec accuracy=48.425439 loss=2.213918 lr=0.052211 Epoch[112] Batch [2899]/[3760] Speed: 64.373431 samples/sec accuracy=48.433728 loss=2.214147 lr=0.052197 Epoch[112] Batch [2949]/[3760] Speed: 64.994297 samples/sec accuracy=48.427966 loss=2.214608 lr=0.052184 Epoch[112] Batch [2999]/[3760] Speed: 64.679647 samples/sec accuracy=48.438542 loss=2.214388 lr=0.052171 Epoch[112] Batch [3049]/[3760] Speed: 64.552839 samples/sec accuracy=48.432377 loss=2.213911 lr=0.052157 Epoch[112] Batch [3099]/[3760] Speed: 64.765706 samples/sec accuracy=48.448085 loss=2.212950 lr=0.052144 Epoch[112] Batch [3149]/[3760] Speed: 65.168477 samples/sec accuracy=48.450397 loss=2.213266 lr=0.052131 Epoch[112] Batch [3199]/[3760] Speed: 64.820125 samples/sec accuracy=48.442871 loss=2.212814 lr=0.052117 Epoch[112] Batch [3249]/[3760] Speed: 64.329969 samples/sec accuracy=48.418269 loss=2.213145 lr=0.052104 Epoch[112] Batch [3299]/[3760] Speed: 64.945632 samples/sec accuracy=48.432765 loss=2.212581 lr=0.052091 Epoch[112] Batch [3349]/[3760] Speed: 65.073659 samples/sec accuracy=48.453358 loss=2.211541 lr=0.052077 Epoch[112] Batch [3399]/[3760] Speed: 63.893832 samples/sec accuracy=48.442555 loss=2.212280 lr=0.052064 Epoch[112] Batch [3449]/[3760] Speed: 65.739436 samples/sec accuracy=48.424819 loss=2.212970 lr=0.052051 Epoch[112] Batch [3499]/[3760] Speed: 64.989659 samples/sec accuracy=48.423661 loss=2.213542 lr=0.052037 Epoch[112] Batch [3549]/[3760] Speed: 65.049946 samples/sec accuracy=48.425176 loss=2.213639 lr=0.052024 Epoch[112] Batch [3599]/[3760] Speed: 63.978947 samples/sec accuracy=48.378906 loss=2.215057 lr=0.052011 Epoch[112] Batch [3649]/[3760] Speed: 65.315838 samples/sec accuracy=48.372860 loss=2.215517 lr=0.051997 Epoch[112] Batch [3699]/[3760] Speed: 65.156644 samples/sec accuracy=48.373311 loss=2.215930 lr=0.051984 Epoch[112] Batch [3749]/[3760] Speed: 67.941363 samples/sec accuracy=48.380000 loss=2.215768 lr=0.051971 Batch [0049]/[0303]: acc-top1=47.531250 acc-top5=74.562500 Batch [0099]/[0303]: acc-top1=48.109375 acc-top5=74.343750 Batch [0149]/[0303]: acc-top1=48.260417 acc-top5=74.427083 Batch [0199]/[0303]: acc-top1=48.500000 acc-top5=74.429688 Batch [0249]/[0303]: acc-top1=48.675000 acc-top5=74.687500 Batch [0299]/[0303]: acc-top1=48.531250 acc-top5=74.734375 [Epoch 112] training: accuracy=48.376828 loss=2.215992 [Epoch 112] speed: 64 samples/sec time cost: 4016.689266 [Epoch 112] validation: acc-top1=48.592203 acc-top5=74.762789 loss=2.389948 Epoch[113] Batch [0049]/[3759] Speed: 42.428221 samples/sec accuracy=48.875000 loss=2.168961 lr=0.051955 Epoch[113] Batch [0099]/[3759] Speed: 63.081837 samples/sec accuracy=48.765625 loss=2.179950 lr=0.051941 Epoch[113] Batch [0149]/[3759] Speed: 64.436842 samples/sec accuracy=48.864583 loss=2.177695 lr=0.051928 Epoch[113] Batch [0199]/[3759] Speed: 63.524574 samples/sec accuracy=48.609375 loss=2.174912 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lr=0.051408 Epoch[113] Batch [2149]/[3759] Speed: 64.825114 samples/sec accuracy=48.536337 loss=2.203468 lr=0.051394 Epoch[113] Batch [2199]/[3759] Speed: 63.821186 samples/sec accuracy=48.539773 loss=2.203308 lr=0.051381 Epoch[113] Batch [2249]/[3759] Speed: 65.492386 samples/sec accuracy=48.558333 loss=2.203063 lr=0.051368 Epoch[113] Batch [2299]/[3759] Speed: 65.002051 samples/sec accuracy=48.560462 loss=2.203303 lr=0.051354 Epoch[113] Batch [2349]/[3759] Speed: 64.907042 samples/sec accuracy=48.560505 loss=2.203394 lr=0.051341 Epoch[113] Batch [2399]/[3759] Speed: 63.911662 samples/sec accuracy=48.605469 loss=2.202518 lr=0.051328 Epoch[113] Batch [2449]/[3759] Speed: 64.766212 samples/sec accuracy=48.585459 loss=2.202933 lr=0.051314 Epoch[113] Batch [2499]/[3759] Speed: 65.293733 samples/sec accuracy=48.561250 loss=2.203415 lr=0.051301 Epoch[113] Batch [2549]/[3759] Speed: 64.918558 samples/sec accuracy=48.540441 loss=2.203648 lr=0.051288 Epoch[113] Batch [2599]/[3759] Speed: 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lr=0.051154 Epoch[113] Batch [3099]/[3759] Speed: 64.836441 samples/sec accuracy=48.469758 loss=2.205066 lr=0.051141 Epoch[113] Batch [3149]/[3759] Speed: 64.705283 samples/sec accuracy=48.453373 loss=2.205550 lr=0.051128 Epoch[113] Batch [3199]/[3759] Speed: 64.808400 samples/sec accuracy=48.469238 loss=2.205446 lr=0.051114 Epoch[113] Batch [3249]/[3759] Speed: 64.778571 samples/sec accuracy=48.500962 loss=2.204481 lr=0.051101 Epoch[113] Batch [3299]/[3759] Speed: 64.764659 samples/sec accuracy=48.489110 loss=2.205447 lr=0.051088 Epoch[113] Batch [3349]/[3759] Speed: 64.394039 samples/sec accuracy=48.504664 loss=2.204972 lr=0.051074 Epoch[113] Batch [3399]/[3759] Speed: 65.239307 samples/sec accuracy=48.495864 loss=2.205741 lr=0.051061 Epoch[113] Batch [3449]/[3759] Speed: 64.929158 samples/sec accuracy=48.481884 loss=2.206023 lr=0.051048 Epoch[113] Batch [3499]/[3759] Speed: 64.127297 samples/sec accuracy=48.491518 loss=2.205904 lr=0.051034 Epoch[113] Batch [3549]/[3759] Speed: 65.372866 samples/sec accuracy=48.472711 loss=2.206780 lr=0.051021 Epoch[113] Batch [3599]/[3759] Speed: 64.825132 samples/sec accuracy=48.469184 loss=2.206860 lr=0.051008 Epoch[113] Batch [3649]/[3759] Speed: 64.811734 samples/sec accuracy=48.473459 loss=2.206965 lr=0.050994 Epoch[113] Batch [3699]/[3759] Speed: 64.259182 samples/sec accuracy=48.469172 loss=2.207955 lr=0.050981 Epoch[113] Batch [3749]/[3759] Speed: 68.430368 samples/sec accuracy=48.501250 loss=2.206462 lr=0.050968 Batch [0049]/[0303]: acc-top1=49.281250 acc-top5=74.406250 Batch [0099]/[0303]: acc-top1=49.031250 acc-top5=74.390625 Batch [0149]/[0303]: acc-top1=48.885417 acc-top5=74.375000 Batch [0199]/[0303]: acc-top1=48.812500 acc-top5=74.578125 Batch [0249]/[0303]: acc-top1=49.231250 acc-top5=74.806250 Batch [0299]/[0303]: acc-top1=49.343750 acc-top5=74.682292 [Epoch 113] training: accuracy=48.496941 loss=2.206340 [Epoch 113] speed: 64 samples/sec time cost: 4016.613040 [Epoch 113] validation: acc-top1=49.355404 acc-top5=74.669967 loss=2.452420 Epoch[114] Batch [0049]/[3760] Speed: 43.208807 samples/sec accuracy=50.843750 loss=2.087289 lr=0.050952 Epoch[114] Batch [0099]/[3760] Speed: 62.026722 samples/sec accuracy=50.109375 loss=2.129101 lr=0.050939 Epoch[114] Batch [0149]/[3760] Speed: 64.912828 samples/sec accuracy=50.229167 loss=2.123499 lr=0.050925 Epoch[114] Batch [0199]/[3760] Speed: 64.017428 samples/sec accuracy=50.195312 loss=2.123393 lr=0.050912 Epoch[114] Batch [0249]/[3760] Speed: 65.069042 samples/sec accuracy=50.175000 loss=2.121680 lr=0.050899 Epoch[114] Batch [0299]/[3760] Speed: 63.256595 samples/sec accuracy=50.255208 loss=2.125029 lr=0.050885 Epoch[114] Batch [0349]/[3760] Speed: 65.546727 samples/sec accuracy=50.191964 loss=2.128121 lr=0.050872 Epoch[114] Batch [0399]/[3760] Speed: 64.855420 samples/sec accuracy=49.902344 loss=2.136166 lr=0.050859 Epoch[114] Batch [0449]/[3760] Speed: 65.093492 samples/sec accuracy=49.954861 loss=2.133125 lr=0.050845 Epoch[114] Batch 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accuracy=49.550987 loss=2.156344 lr=0.050712 Epoch[114] Batch [0999]/[3760] Speed: 64.933798 samples/sec accuracy=49.523438 loss=2.159482 lr=0.050699 Epoch[114] Batch [1049]/[3760] Speed: 64.995388 samples/sec accuracy=49.437500 loss=2.161583 lr=0.050686 Epoch[114] Batch [1099]/[3760] Speed: 64.478104 samples/sec accuracy=49.407670 loss=2.162532 lr=0.050672 Epoch[114] Batch [1149]/[3760] Speed: 64.955996 samples/sec accuracy=49.379076 loss=2.162676 lr=0.050659 Epoch[114] Batch [1199]/[3760] Speed: 64.692169 samples/sec accuracy=49.355469 loss=2.162869 lr=0.050646 Epoch[114] Batch [1249]/[3760] Speed: 64.600418 samples/sec accuracy=49.273750 loss=2.165453 lr=0.050632 Epoch[114] Batch [1299]/[3760] Speed: 64.677659 samples/sec accuracy=49.211538 loss=2.167881 lr=0.050619 Epoch[114] Batch [1349]/[3760] Speed: 64.879811 samples/sec accuracy=49.208333 loss=2.167535 lr=0.050606 Epoch[114] Batch [1399]/[3760] Speed: 65.115389 samples/sec accuracy=49.138393 loss=2.170094 lr=0.050592 Epoch[114] 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accuracy=49.021382 loss=2.176539 lr=0.050459 Epoch[114] Batch [1949]/[3760] Speed: 65.216636 samples/sec accuracy=48.991987 loss=2.177508 lr=0.050446 Epoch[114] Batch [1999]/[3760] Speed: 64.954672 samples/sec accuracy=48.942969 loss=2.179393 lr=0.050433 Epoch[114] Batch [2049]/[3760] Speed: 64.184742 samples/sec accuracy=48.918445 loss=2.181641 lr=0.050419 Epoch[114] Batch [2099]/[3760] Speed: 64.974363 samples/sec accuracy=48.918155 loss=2.181925 lr=0.050406 Epoch[114] Batch [2149]/[3760] Speed: 65.027557 samples/sec accuracy=48.877180 loss=2.184396 lr=0.050393 Epoch[114] Batch [2199]/[3760] Speed: 64.842227 samples/sec accuracy=48.865767 loss=2.184754 lr=0.050379 Epoch[114] Batch [2249]/[3760] Speed: 64.495408 samples/sec accuracy=48.887500 loss=2.184904 lr=0.050366 Epoch[114] Batch [2299]/[3760] Speed: 65.431425 samples/sec accuracy=48.877717 loss=2.185396 lr=0.050353 Epoch[114] Batch [2349]/[3760] Speed: 64.923813 samples/sec accuracy=48.857713 loss=2.186659 lr=0.050339 Epoch[114] 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accuracy=48.852522 loss=2.188625 lr=0.050206 Epoch[114] Batch [2899]/[3760] Speed: 65.147564 samples/sec accuracy=48.834591 loss=2.189401 lr=0.050193 Epoch[114] Batch [2949]/[3760] Speed: 64.813655 samples/sec accuracy=48.824682 loss=2.190215 lr=0.050180 Epoch[114] Batch [2999]/[3760] Speed: 65.052597 samples/sec accuracy=48.828646 loss=2.190140 lr=0.050166 Epoch[114] Batch [3049]/[3760] Speed: 64.381424 samples/sec accuracy=48.827869 loss=2.190725 lr=0.050153 Epoch[114] Batch [3099]/[3760] Speed: 65.074900 samples/sec accuracy=48.810484 loss=2.191343 lr=0.050140 Epoch[114] Batch [3149]/[3760] Speed: 65.029240 samples/sec accuracy=48.795635 loss=2.191878 lr=0.050126 Epoch[114] Batch [3199]/[3760] Speed: 63.858375 samples/sec accuracy=48.805176 loss=2.191583 lr=0.050113 Epoch[114] Batch [3249]/[3760] Speed: 65.487758 samples/sec accuracy=48.818269 loss=2.191700 lr=0.050100 Epoch[114] Batch [3299]/[3760] Speed: 65.073452 samples/sec accuracy=48.805398 loss=2.192872 lr=0.050086 Epoch[114] 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[0099]/[0303]: acc-top1=48.703125 acc-top5=74.484375 Batch [0149]/[0303]: acc-top1=48.260417 acc-top5=74.364583 Batch [0199]/[0303]: acc-top1=48.203125 acc-top5=74.375000 Batch [0249]/[0303]: acc-top1=48.587500 acc-top5=74.431250 Batch [0299]/[0303]: acc-top1=48.421875 acc-top5=74.375000 [Epoch 114] training: accuracy=48.767038 loss=2.194177 [Epoch 114] speed: 64 samples/sec time cost: 4010.591723 [Epoch 114] validation: acc-top1=48.432343 acc-top5=74.381188 loss=2.410635 Epoch[115] Batch [0049]/[3760] Speed: 42.250687 samples/sec accuracy=50.375000 loss=2.118539 lr=0.049951 Epoch[115] Batch [0099]/[3760] Speed: 62.949983 samples/sec accuracy=50.218750 loss=2.122653 lr=0.049937 Epoch[115] Batch [0149]/[3760] Speed: 64.976895 samples/sec accuracy=49.645833 loss=2.145103 lr=0.049924 Epoch[115] Batch [0199]/[3760] Speed: 64.236859 samples/sec accuracy=49.265625 loss=2.155716 lr=0.049911 Epoch[115] Batch [0249]/[3760] Speed: 64.497610 samples/sec accuracy=49.268750 loss=2.157686 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lr=0.049645 Epoch[115] Batch [1249]/[3760] Speed: 64.881905 samples/sec accuracy=48.972500 loss=2.168598 lr=0.049631 Epoch[115] Batch [1299]/[3760] Speed: 65.111566 samples/sec accuracy=49.019231 loss=2.168645 lr=0.049618 Epoch[115] Batch [1349]/[3760] Speed: 64.598134 samples/sec accuracy=49.003472 loss=2.168497 lr=0.049605 Epoch[115] Batch [1399]/[3760] Speed: 65.153688 samples/sec accuracy=49.007812 loss=2.168216 lr=0.049592 Epoch[115] Batch [1449]/[3760] Speed: 65.249764 samples/sec accuracy=48.978448 loss=2.170327 lr=0.049578 Epoch[115] Batch [1499]/[3760] Speed: 65.003505 samples/sec accuracy=49.001042 loss=2.169655 lr=0.049565 Epoch[115] Batch [1549]/[3760] Speed: 64.471882 samples/sec accuracy=49.042339 loss=2.168964 lr=0.049552 Epoch[115] Batch [1599]/[3760] Speed: 65.317487 samples/sec accuracy=49.027344 loss=2.171722 lr=0.049538 Epoch[115] Batch [1649]/[3760] Speed: 64.806399 samples/sec accuracy=49.060606 loss=2.171020 lr=0.049525 Epoch[115] Batch [1699]/[3760] Speed: 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lr=0.049392 Epoch[115] Batch [2199]/[3760] Speed: 65.022630 samples/sec accuracy=49.066761 loss=2.175432 lr=0.049379 Epoch[115] Batch [2249]/[3760] Speed: 64.024131 samples/sec accuracy=49.076389 loss=2.174084 lr=0.049366 Epoch[115] Batch [2299]/[3760] Speed: 65.435569 samples/sec accuracy=49.042120 loss=2.176163 lr=0.049352 Epoch[115] Batch [2349]/[3760] Speed: 65.361423 samples/sec accuracy=49.040559 loss=2.176481 lr=0.049339 Epoch[115] Batch [2399]/[3760] Speed: 65.171642 samples/sec accuracy=49.052083 loss=2.176283 lr=0.049326 Epoch[115] Batch [2449]/[3760] Speed: 64.307049 samples/sec accuracy=49.054209 loss=2.177490 lr=0.049312 Epoch[115] Batch [2499]/[3760] Speed: 65.212219 samples/sec accuracy=49.022500 loss=2.178680 lr=0.049299 Epoch[115] Batch [2549]/[3760] Speed: 65.124358 samples/sec accuracy=49.012868 loss=2.179328 lr=0.049286 Epoch[115] Batch [2599]/[3760] Speed: 64.811586 samples/sec accuracy=49.005409 loss=2.179660 lr=0.049272 Epoch[115] Batch [2649]/[3760] Speed: 64.457358 samples/sec accuracy=49.030071 loss=2.178489 lr=0.049259 Epoch[115] Batch [2699]/[3760] Speed: 64.959870 samples/sec accuracy=49.034144 loss=2.179432 lr=0.049246 Epoch[115] Batch [2749]/[3760] Speed: 64.896445 samples/sec accuracy=48.997159 loss=2.180834 lr=0.049233 Epoch[115] Batch [2799]/[3760] Speed: 64.875624 samples/sec accuracy=49.006138 loss=2.180109 lr=0.049219 Epoch[115] Batch [2849]/[3760] Speed: 64.782166 samples/sec accuracy=49.021930 loss=2.180125 lr=0.049206 Epoch[115] Batch [2899]/[3760] Speed: 65.130726 samples/sec accuracy=49.031250 loss=2.180349 lr=0.049193 Epoch[115] Batch [2949]/[3760] Speed: 64.642153 samples/sec accuracy=49.040254 loss=2.179412 lr=0.049179 Epoch[115] Batch [2999]/[3760] Speed: 64.145844 samples/sec accuracy=49.023438 loss=2.180184 lr=0.049166 Epoch[115] Batch [3049]/[3760] Speed: 65.647297 samples/sec accuracy=49.038422 loss=2.179909 lr=0.049153 Epoch[115] Batch [3099]/[3760] Speed: 64.839343 samples/sec accuracy=49.032258 loss=2.180324 lr=0.049140 Epoch[115] Batch [3149]/[3760] Speed: 65.111148 samples/sec accuracy=49.012897 loss=2.181312 lr=0.049126 Epoch[115] Batch [3199]/[3760] Speed: 64.262976 samples/sec accuracy=48.986816 loss=2.182014 lr=0.049113 Epoch[115] Batch [3249]/[3760] Speed: 65.136657 samples/sec accuracy=48.987019 loss=2.182025 lr=0.049100 Epoch[115] Batch [3299]/[3760] Speed: 64.638357 samples/sec accuracy=48.993845 loss=2.182481 lr=0.049086 Epoch[115] Batch [3349]/[3760] Speed: 64.832282 samples/sec accuracy=48.992537 loss=2.182785 lr=0.049073 Epoch[115] Batch [3399]/[3760] Speed: 64.389405 samples/sec accuracy=48.986673 loss=2.183233 lr=0.049060 Epoch[115] Batch [3449]/[3760] Speed: 65.050993 samples/sec accuracy=48.996830 loss=2.183209 lr=0.049047 Epoch[115] Batch [3499]/[3760] Speed: 64.737965 samples/sec accuracy=48.997768 loss=2.183190 lr=0.049033 Epoch[115] Batch [3549]/[3760] Speed: 64.963698 samples/sec accuracy=48.985035 loss=2.183845 lr=0.049020 Epoch[115] Batch [3599]/[3760] Speed: 64.289944 samples/sec accuracy=48.952257 loss=2.185063 lr=0.049007 Epoch[115] Batch [3649]/[3760] Speed: 64.899903 samples/sec accuracy=48.952911 loss=2.184802 lr=0.048993 Epoch[115] Batch [3699]/[3760] Speed: 64.767763 samples/sec accuracy=48.935389 loss=2.185614 lr=0.048980 Epoch[115] Batch [3749]/[3760] Speed: 66.883684 samples/sec accuracy=48.920000 loss=2.185370 lr=0.048967 Batch [0049]/[0303]: acc-top1=48.781250 acc-top5=73.968750 Batch [0099]/[0303]: acc-top1=48.390625 acc-top5=74.265625 Batch [0149]/[0303]: acc-top1=48.427083 acc-top5=74.520833 Batch [0199]/[0303]: acc-top1=48.179688 acc-top5=74.695312 Batch [0249]/[0303]: acc-top1=48.443750 acc-top5=74.731250 Batch [0299]/[0303]: acc-top1=48.510417 acc-top5=74.682292 [Epoch 115] training: accuracy=48.910406 loss=2.185651 [Epoch 115] speed: 64 samples/sec time cost: 4012.358412 [Epoch 115] validation: acc-top1=48.525165 acc-top5=74.649340 loss=2.434277 Epoch[116] Batch [0049]/[3759] Speed: 42.472036 samples/sec accuracy=49.093750 loss=2.163842 lr=0.048951 Epoch[116] Batch [0099]/[3759] Speed: 63.112748 samples/sec accuracy=49.515625 loss=2.139788 lr=0.048938 Epoch[116] Batch [0149]/[3759] Speed: 64.181340 samples/sec accuracy=50.333333 loss=2.117654 lr=0.048924 Epoch[116] Batch [0199]/[3759] Speed: 63.326147 samples/sec accuracy=50.507813 loss=2.110584 lr=0.048911 Epoch[116] Batch [0249]/[3759] Speed: 65.283517 samples/sec accuracy=50.487500 loss=2.105500 lr=0.048898 Epoch[116] Batch [0299]/[3759] Speed: 64.113060 samples/sec accuracy=50.500000 loss=2.106336 lr=0.048885 Epoch[116] Batch [0349]/[3759] Speed: 65.191793 samples/sec accuracy=50.066964 loss=2.117145 lr=0.048871 Epoch[116] Batch [0399]/[3759] Speed: 64.615674 samples/sec accuracy=50.078125 loss=2.119713 lr=0.048858 Epoch[116] Batch [0449]/[3759] Speed: 64.877392 samples/sec accuracy=49.972222 loss=2.126684 lr=0.048845 Epoch[116] Batch [0499]/[3759] Speed: 64.881451 samples/sec accuracy=50.000000 loss=2.124632 lr=0.048831 Epoch[116] 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accuracy=49.707812 loss=2.142548 lr=0.048699 Epoch[116] Batch [1049]/[3759] Speed: 65.421162 samples/sec accuracy=49.691964 loss=2.142879 lr=0.048685 Epoch[116] Batch [1099]/[3759] Speed: 64.533760 samples/sec accuracy=49.651989 loss=2.145086 lr=0.048672 Epoch[116] Batch [1149]/[3759] Speed: 64.567946 samples/sec accuracy=49.612772 loss=2.146259 lr=0.048659 Epoch[116] Batch [1199]/[3759] Speed: 65.257442 samples/sec accuracy=49.591146 loss=2.148402 lr=0.048646 Epoch[116] Batch [1249]/[3759] Speed: 65.190511 samples/sec accuracy=49.537500 loss=2.148792 lr=0.048632 Epoch[116] Batch [1299]/[3759] Speed: 63.804328 samples/sec accuracy=49.504808 loss=2.150377 lr=0.048619 Epoch[116] Batch [1349]/[3759] Speed: 65.356239 samples/sec accuracy=49.459491 loss=2.151539 lr=0.048606 Epoch[116] Batch [1399]/[3759] Speed: 65.299003 samples/sec accuracy=49.425223 loss=2.153900 lr=0.048593 Epoch[116] Batch [1449]/[3759] Speed: 65.108792 samples/sec accuracy=49.419181 loss=2.153945 lr=0.048579 Epoch[116] 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accuracy=49.339744 loss=2.161628 lr=0.048447 Epoch[116] Batch [1999]/[3759] Speed: 65.092544 samples/sec accuracy=49.321875 loss=2.162801 lr=0.048433 Epoch[116] Batch [2049]/[3759] Speed: 63.631015 samples/sec accuracy=49.307165 loss=2.163226 lr=0.048420 Epoch[116] Batch [2099]/[3759] Speed: 65.533358 samples/sec accuracy=49.284226 loss=2.164974 lr=0.048407 Epoch[116] Batch [2149]/[3759] Speed: 65.302056 samples/sec accuracy=49.315407 loss=2.163205 lr=0.048393 Epoch[116] Batch [2199]/[3759] Speed: 65.176098 samples/sec accuracy=49.305398 loss=2.163542 lr=0.048380 Epoch[116] Batch [2249]/[3759] Speed: 64.119142 samples/sec accuracy=49.277083 loss=2.164185 lr=0.048367 Epoch[116] Batch [2299]/[3759] Speed: 65.048228 samples/sec accuracy=49.273098 loss=2.164439 lr=0.048354 Epoch[116] Batch [2349]/[3759] Speed: 65.326333 samples/sec accuracy=49.245346 loss=2.165629 lr=0.048340 Epoch[116] Batch [2399]/[3759] Speed: 65.356387 samples/sec accuracy=49.212891 loss=2.167390 lr=0.048327 Epoch[116] 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accuracy=49.168642 loss=2.169665 lr=0.048195 Epoch[116] Batch [2949]/[3759] Speed: 65.097037 samples/sec accuracy=49.159958 loss=2.170267 lr=0.048181 Epoch[116] Batch [2999]/[3759] Speed: 64.374704 samples/sec accuracy=49.166667 loss=2.171074 lr=0.048168 Epoch[116] Batch [3049]/[3759] Speed: 65.189249 samples/sec accuracy=49.151127 loss=2.171956 lr=0.048155 Epoch[116] Batch [3099]/[3759] Speed: 64.638714 samples/sec accuracy=49.142641 loss=2.172232 lr=0.048142 Epoch[116] Batch [3149]/[3759] Speed: 64.834683 samples/sec accuracy=49.170635 loss=2.170992 lr=0.048128 Epoch[116] Batch [3199]/[3759] Speed: 64.263652 samples/sec accuracy=49.153809 loss=2.171698 lr=0.048115 Epoch[116] Batch [3249]/[3759] Speed: 65.118182 samples/sec accuracy=49.146635 loss=2.171927 lr=0.048102 Epoch[116] Batch [3299]/[3759] Speed: 64.934595 samples/sec accuracy=49.150095 loss=2.172116 lr=0.048088 Epoch[116] Batch [3349]/[3759] Speed: 65.311666 samples/sec accuracy=49.159515 loss=2.171879 lr=0.048075 Epoch[116] 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acc-top5=73.750000 Batch [0199]/[0303]: acc-top1=47.835938 acc-top5=73.851562 Batch [0249]/[0303]: acc-top1=48.206250 acc-top5=74.193750 Batch [0299]/[0303]: acc-top1=48.276042 acc-top5=74.140625 [Epoch 116] training: accuracy=49.107143 loss=2.174637 [Epoch 116] speed: 64 samples/sec time cost: 4011.042873 [Epoch 116] validation: acc-top1=48.313738 acc-top5=74.159447 loss=2.412418 Epoch[117] Batch [0049]/[3760] Speed: 42.987444 samples/sec accuracy=50.187500 loss=2.121253 lr=0.047954 Epoch[117] Batch [0099]/[3760] Speed: 63.462005 samples/sec accuracy=49.968750 loss=2.118576 lr=0.047940 Epoch[117] Batch [0149]/[3760] Speed: 64.445454 samples/sec accuracy=50.364583 loss=2.118431 lr=0.047927 Epoch[117] Batch [0199]/[3760] Speed: 64.094196 samples/sec accuracy=50.023438 loss=2.129379 lr=0.047914 Epoch[117] Batch [0249]/[3760] Speed: 65.270050 samples/sec accuracy=49.925000 loss=2.134393 lr=0.047901 Epoch[117] Batch [0299]/[3760] Speed: 65.087154 samples/sec accuracy=49.901042 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accuracy=49.775000 loss=2.144108 lr=0.047636 Epoch[117] Batch [1299]/[3760] Speed: 65.255660 samples/sec accuracy=49.786058 loss=2.143791 lr=0.047622 Epoch[117] Batch [1349]/[3760] Speed: 64.395403 samples/sec accuracy=49.774306 loss=2.143054 lr=0.047609 Epoch[117] Batch [1399]/[3760] Speed: 64.772189 samples/sec accuracy=49.783482 loss=2.143006 lr=0.047596 Epoch[117] Batch [1449]/[3760] Speed: 64.874035 samples/sec accuracy=49.811422 loss=2.142735 lr=0.047583 Epoch[117] Batch [1499]/[3760] Speed: 64.338233 samples/sec accuracy=49.805208 loss=2.144341 lr=0.047569 Epoch[117] Batch [1549]/[3760] Speed: 65.199638 samples/sec accuracy=49.776210 loss=2.145176 lr=0.047556 Epoch[117] Batch [1599]/[3760] Speed: 64.600586 samples/sec accuracy=49.779297 loss=2.144586 lr=0.047543 Epoch[117] Batch [1649]/[3760] Speed: 65.825865 samples/sec accuracy=49.738636 loss=2.146228 lr=0.047530 Epoch[117] Batch [1699]/[3760] Speed: 63.715726 samples/sec accuracy=49.696691 loss=2.147351 lr=0.047516 Epoch[117] 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accuracy=49.690341 loss=2.152075 lr=0.047384 Epoch[117] Batch [2249]/[3760] Speed: 63.969666 samples/sec accuracy=49.671528 loss=2.152543 lr=0.047371 Epoch[117] Batch [2299]/[3760] Speed: 65.574333 samples/sec accuracy=49.671196 loss=2.151984 lr=0.047358 Epoch[117] Batch [2349]/[3760] Speed: 65.042318 samples/sec accuracy=49.632979 loss=2.153778 lr=0.047344 Epoch[117] Batch [2399]/[3760] Speed: 64.985429 samples/sec accuracy=49.627604 loss=2.154699 lr=0.047331 Epoch[117] Batch [2449]/[3760] Speed: 64.243995 samples/sec accuracy=49.646684 loss=2.153362 lr=0.047318 Epoch[117] Batch [2499]/[3760] Speed: 64.868197 samples/sec accuracy=49.643750 loss=2.153949 lr=0.047305 Epoch[117] Batch [2549]/[3760] Speed: 65.112967 samples/sec accuracy=49.619485 loss=2.154271 lr=0.047291 Epoch[117] Batch [2599]/[3760] Speed: 65.560473 samples/sec accuracy=49.644832 loss=2.154343 lr=0.047278 Epoch[117] Batch [2649]/[3760] Speed: 64.589431 samples/sec accuracy=49.634434 loss=2.155155 lr=0.047265 Epoch[117] 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accuracy=49.535218 loss=2.159830 lr=0.047133 Epoch[117] Batch [3199]/[3760] Speed: 63.587100 samples/sec accuracy=49.550781 loss=2.159696 lr=0.047120 Epoch[117] Batch [3249]/[3760] Speed: 65.726537 samples/sec accuracy=49.559135 loss=2.158808 lr=0.047106 Epoch[117] Batch [3299]/[3760] Speed: 64.919889 samples/sec accuracy=49.557765 loss=2.159136 lr=0.047093 Epoch[117] Batch [3349]/[3760] Speed: 65.117230 samples/sec accuracy=49.555970 loss=2.158835 lr=0.047080 Epoch[117] Batch [3399]/[3760] Speed: 64.319194 samples/sec accuracy=49.537684 loss=2.160234 lr=0.047067 Epoch[117] Batch [3449]/[3760] Speed: 65.047536 samples/sec accuracy=49.524457 loss=2.160609 lr=0.047053 Epoch[117] Batch [3499]/[3760] Speed: 65.115972 samples/sec accuracy=49.508929 loss=2.161259 lr=0.047040 Epoch[117] Batch [3549]/[3760] Speed: 65.065697 samples/sec accuracy=49.503961 loss=2.161533 lr=0.047027 Epoch[117] Batch [3599]/[3760] Speed: 64.603284 samples/sec accuracy=49.483507 loss=2.162269 lr=0.047014 Epoch[117] Batch [3649]/[3760] Speed: 64.844859 samples/sec accuracy=49.471747 loss=2.162804 lr=0.047001 Epoch[117] Batch [3699]/[3760] Speed: 64.734911 samples/sec accuracy=49.476774 loss=2.163307 lr=0.046987 Epoch[117] Batch [3749]/[3760] Speed: 68.581688 samples/sec accuracy=49.475833 loss=2.163248 lr=0.046974 Batch [0049]/[0303]: acc-top1=49.781250 acc-top5=75.000000 Batch [0099]/[0303]: acc-top1=49.375000 acc-top5=74.765625 Batch [0149]/[0303]: acc-top1=48.822917 acc-top5=74.500000 Batch [0199]/[0303]: acc-top1=48.906250 acc-top5=74.632812 Batch [0249]/[0303]: acc-top1=49.162500 acc-top5=74.831250 Batch [0299]/[0303]: acc-top1=49.197917 acc-top5=74.817708 [Epoch 117] training: accuracy=49.473072 loss=2.163259 [Epoch 117] speed: 64 samples/sec time cost: 4007.082801 [Epoch 117] validation: acc-top1=49.211015 acc-top5=74.840140 loss=2.402435 Epoch[118] Batch [0049]/[3760] Speed: 42.513773 samples/sec accuracy=51.093750 loss=2.113746 lr=0.046958 Epoch[118] Batch [0099]/[3760] Speed: 63.389996 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lr=0.046074 Epoch[118] Batch [3449]/[3760] Speed: 64.214607 samples/sec accuracy=49.706069 loss=2.147847 lr=0.046060 Epoch[118] Batch [3499]/[3760] Speed: 65.391969 samples/sec accuracy=49.698214 loss=2.148237 lr=0.046047 Epoch[118] Batch [3549]/[3760] Speed: 65.256443 samples/sec accuracy=49.694102 loss=2.148486 lr=0.046034 Epoch[118] Batch [3599]/[3760] Speed: 64.482852 samples/sec accuracy=49.674479 loss=2.149245 lr=0.046021 Epoch[118] Batch [3649]/[3760] Speed: 64.179613 samples/sec accuracy=49.677226 loss=2.149352 lr=0.046008 Epoch[118] Batch [3699]/[3760] Speed: 65.047328 samples/sec accuracy=49.655405 loss=2.150295 lr=0.045995 Epoch[118] Batch [3749]/[3760] Speed: 68.947814 samples/sec accuracy=49.641250 loss=2.151159 lr=0.045981 Batch [0049]/[0303]: acc-top1=48.500000 acc-top5=75.125000 Batch [0099]/[0303]: acc-top1=48.265625 acc-top5=74.671875 Batch [0149]/[0303]: acc-top1=48.375000 acc-top5=74.562500 Batch [0199]/[0303]: acc-top1=48.062500 acc-top5=74.570312 Batch [0249]/[0303]: acc-top1=48.543750 acc-top5=74.925000 Batch [0299]/[0303]: acc-top1=48.505208 acc-top5=74.979167 [Epoch 118] training: accuracy=49.635140 loss=2.151507 [Epoch 118] speed: 64 samples/sec time cost: 4009.667752 [Epoch 118] validation: acc-top1=48.540635 acc-top5=74.948432 loss=2.434737 Epoch[119] Batch [0049]/[3759] Speed: 42.945194 samples/sec accuracy=49.906250 loss=2.136630 lr=0.045966 Epoch[119] Batch [0099]/[3759] Speed: 62.676597 samples/sec accuracy=51.250000 loss=2.111703 lr=0.045952 Epoch[119] Batch [0149]/[3759] Speed: 64.065281 samples/sec accuracy=51.041667 loss=2.110833 lr=0.045939 Epoch[119] Batch [0199]/[3759] Speed: 64.330371 samples/sec accuracy=51.023438 loss=2.108632 lr=0.045926 Epoch[119] Batch [0249]/[3759] Speed: 64.881200 samples/sec accuracy=51.106250 loss=2.105122 lr=0.045913 Epoch[119] Batch [0299]/[3759] Speed: 63.307133 samples/sec accuracy=50.692708 loss=2.111162 lr=0.045900 Epoch[119] Batch [0349]/[3759] Speed: 65.438569 samples/sec 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accuracy=50.137019 loss=2.129573 lr=0.045636 Epoch[119] Batch [1349]/[3759] Speed: 65.010459 samples/sec accuracy=50.107639 loss=2.132161 lr=0.045623 Epoch[119] Batch [1399]/[3759] Speed: 64.826260 samples/sec accuracy=50.151786 loss=2.130985 lr=0.045610 Epoch[119] Batch [1449]/[3759] Speed: 64.764792 samples/sec accuracy=50.145474 loss=2.132144 lr=0.045597 Epoch[119] Batch [1499]/[3759] Speed: 65.027631 samples/sec accuracy=50.150000 loss=2.131413 lr=0.045584 Epoch[119] Batch [1549]/[3759] Speed: 64.426258 samples/sec accuracy=50.102823 loss=2.133355 lr=0.045570 Epoch[119] Batch [1599]/[3759] Speed: 64.389340 samples/sec accuracy=50.060547 loss=2.135041 lr=0.045557 Epoch[119] Batch [1649]/[3759] Speed: 65.039715 samples/sec accuracy=50.120265 loss=2.132278 lr=0.045544 Epoch[119] Batch [1699]/[3759] Speed: 65.225393 samples/sec accuracy=50.139706 loss=2.131620 lr=0.045531 Epoch[119] Batch [1749]/[3759] Speed: 64.649153 samples/sec accuracy=50.116071 loss=2.131640 lr=0.045518 Epoch[119] 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accuracy=49.983333 loss=2.135160 lr=0.045386 Epoch[119] Batch [2299]/[3759] Speed: 64.833983 samples/sec accuracy=50.014266 loss=2.134280 lr=0.045373 Epoch[119] Batch [2349]/[3759] Speed: 65.311001 samples/sec accuracy=50.028590 loss=2.133135 lr=0.045360 Epoch[119] Batch [2399]/[3759] Speed: 64.686453 samples/sec accuracy=50.064453 loss=2.132838 lr=0.045347 Epoch[119] Batch [2449]/[3759] Speed: 64.460357 samples/sec accuracy=50.056122 loss=2.132852 lr=0.045334 Epoch[119] Batch [2499]/[3759] Speed: 65.220879 samples/sec accuracy=50.005625 loss=2.134400 lr=0.045320 Epoch[119] Batch [2549]/[3759] Speed: 65.074014 samples/sec accuracy=49.982230 loss=2.134546 lr=0.045307 Epoch[119] Batch [2599]/[3759] Speed: 64.263189 samples/sec accuracy=49.992788 loss=2.134202 lr=0.045294 Epoch[119] Batch [2649]/[3759] Speed: 65.228080 samples/sec accuracy=50.035377 loss=2.133002 lr=0.045281 Epoch[119] Batch [2699]/[3759] Speed: 64.660268 samples/sec accuracy=50.044560 loss=2.132027 lr=0.045268 Epoch[119] 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accuracy=49.905762 loss=2.138074 lr=0.045136 Epoch[119] Batch [3249]/[3759] Speed: 64.865179 samples/sec accuracy=49.901923 loss=2.138812 lr=0.045123 Epoch[119] Batch [3299]/[3759] Speed: 65.012239 samples/sec accuracy=49.906250 loss=2.138564 lr=0.045110 Epoch[119] Batch [3349]/[3759] Speed: 64.144290 samples/sec accuracy=49.902052 loss=2.138776 lr=0.045097 Epoch[119] Batch [3399]/[3759] Speed: 65.242703 samples/sec accuracy=49.886029 loss=2.139605 lr=0.045084 Epoch[119] Batch [3449]/[3759] Speed: 65.162612 samples/sec accuracy=49.900815 loss=2.138806 lr=0.045071 Epoch[119] Batch [3499]/[3759] Speed: 64.605144 samples/sec accuracy=49.898214 loss=2.138350 lr=0.045057 Epoch[119] Batch [3549]/[3759] Speed: 64.705037 samples/sec accuracy=49.893046 loss=2.138597 lr=0.045044 Epoch[119] Batch [3599]/[3759] Speed: 64.744562 samples/sec accuracy=49.882378 loss=2.138794 lr=0.045031 Epoch[119] Batch [3649]/[3759] Speed: 65.391631 samples/sec accuracy=49.878425 loss=2.139596 lr=0.045018 Epoch[119] Batch [3699]/[3759] Speed: 64.788204 samples/sec accuracy=49.877534 loss=2.139929 lr=0.045005 Epoch[119] Batch [3749]/[3759] Speed: 67.318095 samples/sec accuracy=49.877083 loss=2.139832 lr=0.044992 Batch [0049]/[0303]: acc-top1=49.625000 acc-top5=75.968750 Batch [0099]/[0303]: acc-top1=49.812500 acc-top5=75.843750 Batch [0149]/[0303]: acc-top1=50.093750 acc-top5=75.781250 Batch [0199]/[0303]: acc-top1=50.023438 acc-top5=75.851562 Batch [0249]/[0303]: acc-top1=50.150000 acc-top5=76.075000 Batch [0299]/[0303]: acc-top1=50.119792 acc-top5=75.973958 [Epoch 119] training: accuracy=49.872390 loss=2.140340 [Epoch 119] speed: 64 samples/sec time cost: 4009.557877 [Epoch 119] validation: acc-top1=50.149546 acc-top5=75.974629 loss=2.333199 Epoch[120] Batch [0049]/[3760] Speed: 42.556480 samples/sec accuracy=51.500000 loss=2.074370 lr=0.044976 Epoch[120] Batch [0099]/[3760] Speed: 62.897530 samples/sec accuracy=51.531250 loss=2.051993 lr=0.044963 Epoch[120] Batch [0149]/[3760] Speed: 65.701989 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65.280219 samples/sec accuracy=50.189583 loss=2.125656 lr=0.044202 Epoch[120] Batch [3049]/[3760] Speed: 64.411071 samples/sec accuracy=50.185963 loss=2.126004 lr=0.044189 Epoch[120] Batch [3099]/[3760] Speed: 64.882890 samples/sec accuracy=50.170867 loss=2.126357 lr=0.044176 Epoch[120] Batch [3149]/[3760] Speed: 64.951744 samples/sec accuracy=50.160218 loss=2.127179 lr=0.044163 Epoch[120] Batch [3199]/[3760] Speed: 65.058583 samples/sec accuracy=50.148926 loss=2.127093 lr=0.044150 Epoch[120] Batch [3249]/[3760] Speed: 64.157536 samples/sec accuracy=50.175481 loss=2.126350 lr=0.044137 Epoch[120] Batch [3299]/[3760] Speed: 65.022340 samples/sec accuracy=50.178504 loss=2.126013 lr=0.044123 Epoch[120] Batch [3349]/[3760] Speed: 65.177135 samples/sec accuracy=50.179571 loss=2.125858 lr=0.044110 Epoch[120] Batch [3399]/[3760] Speed: 64.664624 samples/sec accuracy=50.168658 loss=2.126574 lr=0.044097 Epoch[120] Batch [3449]/[3760] Speed: 64.183679 samples/sec accuracy=50.173460 loss=2.125918 lr=0.044084 Epoch[120] Batch [3499]/[3760] Speed: 65.337110 samples/sec accuracy=50.203571 loss=2.125190 lr=0.044071 Epoch[120] Batch [3549]/[3760] Speed: 65.042795 samples/sec accuracy=50.169894 loss=2.126755 lr=0.044058 Epoch[120] Batch [3599]/[3760] Speed: 64.881775 samples/sec accuracy=50.142361 loss=2.127877 lr=0.044045 Epoch[120] Batch [3649]/[3760] Speed: 64.229829 samples/sec accuracy=50.133990 loss=2.128547 lr=0.044032 Epoch[120] Batch [3699]/[3760] Speed: 65.280045 samples/sec accuracy=50.127534 loss=2.128432 lr=0.044019 Epoch[120] Batch [3749]/[3760] Speed: 68.378144 samples/sec accuracy=50.141250 loss=2.128445 lr=0.044006 Batch [0049]/[0303]: acc-top1=48.843750 acc-top5=74.687500 Batch [0099]/[0303]: acc-top1=48.875000 acc-top5=75.250000 Batch [0149]/[0303]: acc-top1=49.114583 acc-top5=75.302083 Batch [0199]/[0303]: acc-top1=49.195312 acc-top5=75.289062 Batch [0249]/[0303]: acc-top1=49.581250 acc-top5=75.506250 Batch [0299]/[0303]: acc-top1=49.750000 acc-top5=75.572917 [Epoch 120] training: accuracy=50.141705 loss=2.128456 [Epoch 120] speed: 64 samples/sec time cost: 4007.470148 [Epoch 120] validation: acc-top1=49.767946 acc-top5=75.562087 loss=2.361637 Epoch[121] Batch [0049]/[3760] Speed: 43.357801 samples/sec accuracy=52.000000 loss=2.018021 lr=0.043990 Epoch[121] Batch [0099]/[3760] Speed: 62.492889 samples/sec accuracy=51.843750 loss=2.019549 lr=0.043977 Epoch[121] Batch [0149]/[3760] Speed: 64.359046 samples/sec accuracy=51.531250 loss=2.052650 lr=0.043964 Epoch[121] Batch [0199]/[3760] Speed: 63.612208 samples/sec accuracy=51.335937 loss=2.067410 lr=0.043951 Epoch[121] Batch [0249]/[3760] Speed: 63.926012 samples/sec accuracy=51.156250 loss=2.071476 lr=0.043938 Epoch[121] Batch [0299]/[3760] Speed: 64.848659 samples/sec accuracy=51.171875 loss=2.072425 lr=0.043924 Epoch[121] Batch [0349]/[3760] Speed: 65.025629 samples/sec accuracy=51.071429 loss=2.071447 lr=0.043911 Epoch[121] Batch [0399]/[3760] Speed: 64.322015 samples/sec accuracy=50.972656 loss=2.071472 lr=0.043898 Epoch[121] Batch [0449]/[3760] Speed: 63.886455 samples/sec accuracy=50.833333 loss=2.081638 lr=0.043885 Epoch[121] Batch [0499]/[3760] Speed: 65.545354 samples/sec accuracy=50.943750 loss=2.078701 lr=0.043872 Epoch[121] Batch [0549]/[3760] Speed: 64.716938 samples/sec accuracy=50.940341 loss=2.082353 lr=0.043859 Epoch[121] Batch [0599]/[3760] Speed: 65.057747 samples/sec accuracy=50.882812 loss=2.084841 lr=0.043846 Epoch[121] Batch [0649]/[3760] Speed: 63.423920 samples/sec accuracy=50.884615 loss=2.083880 lr=0.043833 Epoch[121] Batch [0699]/[3760] Speed: 65.355888 samples/sec accuracy=50.845982 loss=2.084550 lr=0.043820 Epoch[121] Batch [0749]/[3760] Speed: 64.693157 samples/sec accuracy=50.875000 loss=2.086085 lr=0.043807 Epoch[121] Batch [0799]/[3760] Speed: 65.276020 samples/sec accuracy=50.896484 loss=2.085388 lr=0.043794 Epoch[121] Batch [0849]/[3760] Speed: 64.109817 samples/sec accuracy=50.965074 loss=2.085391 lr=0.043781 Epoch[121] Batch [0899]/[3760] Speed: 65.387024 samples/sec accuracy=50.850694 loss=2.089685 lr=0.043767 Epoch[121] Batch [0949]/[3760] Speed: 64.684956 samples/sec accuracy=50.822368 loss=2.090669 lr=0.043754 Epoch[121] Batch [0999]/[3760] Speed: 65.178573 samples/sec accuracy=50.812500 loss=2.091336 lr=0.043741 Epoch[121] Batch [1049]/[3760] Speed: 64.515266 samples/sec accuracy=50.779762 loss=2.092752 lr=0.043728 Epoch[121] Batch [1099]/[3760] Speed: 64.884944 samples/sec accuracy=50.788352 loss=2.093889 lr=0.043715 Epoch[121] Batch [1149]/[3760] Speed: 65.248248 samples/sec accuracy=50.748641 loss=2.094456 lr=0.043702 Epoch[121] Batch [1199]/[3760] Speed: 64.733814 samples/sec accuracy=50.748698 loss=2.094148 lr=0.043689 Epoch[121] Batch [1249]/[3760] Speed: 64.483988 samples/sec accuracy=50.751250 loss=2.095016 lr=0.043676 Epoch[121] Batch [1299]/[3760] Speed: 65.182976 samples/sec accuracy=50.727163 loss=2.097337 lr=0.043663 Epoch[121] Batch [1349]/[3760] Speed: 64.838117 samples/sec accuracy=50.692130 loss=2.099020 lr=0.043650 Epoch[121] Batch [1399]/[3760] Speed: 65.215128 samples/sec accuracy=50.671875 loss=2.099177 lr=0.043637 Epoch[121] Batch [1449]/[3760] Speed: 64.033023 samples/sec accuracy=50.667026 loss=2.099426 lr=0.043624 Epoch[121] Batch [1499]/[3760] Speed: 65.160516 samples/sec accuracy=50.669792 loss=2.098770 lr=0.043611 Epoch[121] Batch [1549]/[3760] Speed: 64.948130 samples/sec accuracy=50.620968 loss=2.100906 lr=0.043597 Epoch[121] Batch [1599]/[3760] Speed: 65.021456 samples/sec accuracy=50.596680 loss=2.103053 lr=0.043584 Epoch[121] Batch [1649]/[3760] Speed: 64.404572 samples/sec accuracy=50.594697 loss=2.102964 lr=0.043571 Epoch[121] Batch [1699]/[3760] Speed: 64.779186 samples/sec accuracy=50.558824 loss=2.104730 lr=0.043558 Epoch[121] Batch [1749]/[3760] Speed: 64.939501 samples/sec accuracy=50.537500 loss=2.105664 lr=0.043545 Epoch[121] Batch [1799]/[3760] Speed: 64.516195 samples/sec accuracy=50.491319 loss=2.106612 lr=0.043532 Epoch[121] Batch [1849]/[3760] Speed: 64.382183 samples/sec accuracy=50.451014 loss=2.107733 lr=0.043519 Epoch[121] Batch [1899]/[3760] Speed: 64.701380 samples/sec accuracy=50.435033 loss=2.108449 lr=0.043506 Epoch[121] Batch [1949]/[3760] Speed: 64.975511 samples/sec accuracy=50.408654 loss=2.109500 lr=0.043493 Epoch[121] Batch [1999]/[3760] Speed: 65.077245 samples/sec accuracy=50.358594 loss=2.111795 lr=0.043480 Epoch[121] Batch [2049]/[3760] Speed: 64.148546 samples/sec accuracy=50.377287 loss=2.111554 lr=0.043467 Epoch[121] Batch [2099]/[3760] Speed: 64.966983 samples/sec accuracy=50.356399 loss=2.112689 lr=0.043454 Epoch[121] Batch [2149]/[3760] Speed: 64.514718 samples/sec accuracy=50.348110 loss=2.113650 lr=0.043441 Epoch[121] Batch [2199]/[3760] Speed: 64.303053 samples/sec accuracy=50.335938 loss=2.113801 lr=0.043428 Epoch[121] Batch [2249]/[3760] Speed: 65.293450 samples/sec accuracy=50.327778 loss=2.114025 lr=0.043414 Epoch[121] Batch [2299]/[3760] Speed: 64.930583 samples/sec accuracy=50.318614 loss=2.114551 lr=0.043401 Epoch[121] Batch [2349]/[3760] Speed: 64.891759 samples/sec accuracy=50.299202 loss=2.114140 lr=0.043388 Epoch[121] Batch [2399]/[3760] Speed: 63.846038 samples/sec accuracy=50.265625 loss=2.115063 lr=0.043375 Epoch[121] Batch [2449]/[3760] Speed: 65.375289 samples/sec accuracy=50.251913 loss=2.114580 lr=0.043362 Epoch[121] Batch [2499]/[3760] Speed: 64.771886 samples/sec accuracy=50.244375 loss=2.114941 lr=0.043349 Epoch[121] Batch [2549]/[3760] Speed: 65.099359 samples/sec accuracy=50.248162 loss=2.115422 lr=0.043336 Epoch[121] Batch [2599]/[3760] Speed: 63.985519 samples/sec accuracy=50.247596 loss=2.115753 lr=0.043323 Epoch[121] Batch [2649]/[3760] Speed: 65.467360 samples/sec accuracy=50.262972 loss=2.115722 lr=0.043310 Epoch[121] Batch [2699]/[3760] Speed: 64.687771 samples/sec accuracy=50.276042 loss=2.115180 lr=0.043297 Epoch[121] Batch [2749]/[3760] Speed: 65.238629 samples/sec accuracy=50.292614 loss=2.114118 lr=0.043284 Epoch[121] Batch [2799]/[3760] Speed: 64.466250 samples/sec accuracy=50.290737 loss=2.114239 lr=0.043271 Epoch[121] Batch [2849]/[3760] Speed: 65.067724 samples/sec accuracy=50.291667 loss=2.114521 lr=0.043258 Epoch[121] Batch [2899]/[3760] Speed: 64.901711 samples/sec accuracy=50.255927 loss=2.115591 lr=0.043245 Epoch[121] Batch [2949]/[3760] Speed: 64.983196 samples/sec accuracy=50.244174 loss=2.116400 lr=0.043232 Epoch[121] Batch [2999]/[3760] Speed: 64.294399 samples/sec accuracy=50.229687 loss=2.117231 lr=0.043219 Epoch[121] Batch [3049]/[3760] Speed: 64.998491 samples/sec accuracy=50.244877 loss=2.117174 lr=0.043206 Epoch[121] Batch [3099]/[3760] Speed: 64.946535 samples/sec accuracy=50.229839 loss=2.117744 lr=0.043193 Epoch[121] Batch [3149]/[3760] Speed: 64.957106 samples/sec accuracy=50.251488 loss=2.117653 lr=0.043179 Epoch[121] Batch [3199]/[3760] Speed: 63.952829 samples/sec accuracy=50.238770 loss=2.117406 lr=0.043166 Epoch[121] Batch [3249]/[3760] Speed: 65.389672 samples/sec accuracy=50.245673 loss=2.116981 lr=0.043153 Epoch[121] Batch [3299]/[3760] Speed: 65.195660 samples/sec accuracy=50.244318 loss=2.116807 lr=0.043140 Epoch[121] Batch [3349]/[3760] Speed: 64.661009 samples/sec accuracy=50.206157 loss=2.118528 lr=0.043127 Epoch[121] Batch [3399]/[3760] Speed: 64.458330 samples/sec accuracy=50.207721 loss=2.118944 lr=0.043114 Epoch[121] Batch [3449]/[3760] Speed: 64.810418 samples/sec accuracy=50.203804 loss=2.119411 lr=0.043101 Epoch[121] Batch [3499]/[3760] Speed: 65.106352 samples/sec accuracy=50.204911 loss=2.119877 lr=0.043088 Epoch[121] Batch [3549]/[3760] Speed: 64.742731 samples/sec accuracy=50.209507 loss=2.119825 lr=0.043075 Epoch[121] Batch [3599]/[3760] Speed: 64.392695 samples/sec accuracy=50.217448 loss=2.119971 lr=0.043062 Epoch[121] Batch [3649]/[3760] Speed: 64.857560 samples/sec accuracy=50.232877 loss=2.119535 lr=0.043049 Epoch[121] Batch [3699]/[3760] Speed: 64.852886 samples/sec accuracy=50.224662 loss=2.119809 lr=0.043036 Epoch[121] Batch [3749]/[3760] Speed: 68.210881 samples/sec accuracy=50.221667 loss=2.119966 lr=0.043023 Batch [0049]/[0303]: acc-top1=50.093750 acc-top5=75.531250 Batch [0099]/[0303]: acc-top1=50.140625 acc-top5=75.968750 Batch [0149]/[0303]: acc-top1=50.062500 acc-top5=75.854167 Batch [0199]/[0303]: acc-top1=49.968750 acc-top5=75.992188 Batch [0249]/[0303]: acc-top1=50.300000 acc-top5=76.206250 Batch [0299]/[0303]: acc-top1=50.380208 acc-top5=76.229167 [Epoch 121] training: accuracy=50.221077 loss=2.119872 [Epoch 121] speed: 64 samples/sec time cost: 4012.477013 [Epoch 121] validation: acc-top1=50.391914 acc-top5=76.206683 loss=2.288468 Epoch[122] Batch [0049]/[3759] Speed: 42.394973 samples/sec accuracy=52.093750 loss=2.026619 lr=0.043007 Epoch[122] Batch [0099]/[3759] Speed: 62.957126 samples/sec accuracy=52.562500 loss=2.014028 lr=0.042994 Epoch[122] Batch [0149]/[3759] Speed: 64.647617 samples/sec accuracy=52.208333 loss=2.029985 lr=0.042981 Epoch[122] Batch [0199]/[3759] Speed: 62.874155 samples/sec accuracy=51.695312 loss=2.042873 lr=0.042968 Epoch[122] Batch [0249]/[3759] Speed: 65.754508 samples/sec accuracy=51.687500 loss=2.055706 lr=0.042955 Epoch[122] Batch [0299]/[3759] Speed: 64.436093 samples/sec accuracy=51.651042 loss=2.049886 lr=0.042942 Epoch[122] Batch [0349]/[3759] Speed: 65.226400 samples/sec accuracy=51.589286 loss=2.047910 lr=0.042929 Epoch[122] Batch [0399]/[3759] Speed: 63.743031 samples/sec accuracy=51.472656 loss=2.057220 lr=0.042916 Epoch[122] Batch [0449]/[3759] Speed: 65.619747 samples/sec accuracy=51.309028 loss=2.067914 lr=0.042903 Epoch[122] Batch [0499]/[3759] Speed: 64.570839 samples/sec accuracy=51.259375 loss=2.065461 lr=0.042890 Epoch[122] Batch [0549]/[3759] Speed: 65.149478 samples/sec accuracy=51.150568 loss=2.074153 lr=0.042877 Epoch[122] Batch [0599]/[3759] Speed: 63.980151 samples/sec accuracy=51.114583 loss=2.076675 lr=0.042864 Epoch[122] Batch [0649]/[3759] Speed: 65.145102 samples/sec accuracy=50.992788 loss=2.083136 lr=0.042851 Epoch[122] Batch [0699]/[3759] Speed: 65.146445 samples/sec accuracy=51.069196 loss=2.082436 lr=0.042838 Epoch[122] Batch [0749]/[3759] Speed: 64.687020 samples/sec accuracy=51.095833 loss=2.080893 lr=0.042825 Epoch[122] Batch [0799]/[3759] Speed: 64.334652 samples/sec accuracy=51.103516 loss=2.080883 lr=0.042812 Epoch[122] Batch [0849]/[3759] Speed: 65.173129 samples/sec accuracy=51.112132 loss=2.083047 lr=0.042799 Epoch[122] Batch [0899]/[3759] Speed: 65.156806 samples/sec accuracy=51.090278 loss=2.084076 lr=0.042786 Epoch[122] Batch [0949]/[3759] Speed: 64.475657 samples/sec accuracy=51.113487 loss=2.084812 lr=0.042773 Epoch[122] Batch [0999]/[3759] Speed: 64.326665 samples/sec accuracy=51.025000 loss=2.086841 lr=0.042760 Epoch[122] Batch [1049]/[3759] Speed: 65.393758 samples/sec accuracy=51.020833 loss=2.085931 lr=0.042747 Epoch[122] Batch [1099]/[3759] Speed: 64.895253 samples/sec accuracy=50.941761 loss=2.088289 lr=0.042734 Epoch[122] Batch [1149]/[3759] Speed: 65.367246 samples/sec accuracy=50.945652 loss=2.090047 lr=0.042721 Epoch[122] Batch [1199]/[3759] Speed: 64.264898 samples/sec accuracy=51.015625 loss=2.088094 lr=0.042708 Epoch[122] Batch [1249]/[3759] Speed: 65.178215 samples/sec accuracy=50.985000 loss=2.090297 lr=0.042695 Epoch[122] Batch [1299]/[3759] Speed: 64.661465 samples/sec accuracy=50.930288 loss=2.092268 lr=0.042681 Epoch[122] Batch [1349]/[3759] Speed: 65.121689 samples/sec accuracy=50.895833 loss=2.094076 lr=0.042668 Epoch[122] Batch [1399]/[3759] Speed: 64.274734 samples/sec accuracy=50.952009 loss=2.092219 lr=0.042655 Epoch[122] Batch [1449]/[3759] Speed: 64.698263 samples/sec accuracy=50.887931 loss=2.092999 lr=0.042642 Epoch[122] Batch [1499]/[3759] Speed: 64.759075 samples/sec accuracy=50.934375 loss=2.090846 lr=0.042629 Epoch[122] Batch [1549]/[3759] Speed: 64.615771 samples/sec accuracy=50.944556 loss=2.090284 lr=0.042616 Epoch[122] Batch [1599]/[3759] Speed: 64.790843 samples/sec accuracy=50.945312 loss=2.090142 lr=0.042603 Epoch[122] Batch [1649]/[3759] Speed: 64.447596 samples/sec accuracy=50.930871 loss=2.090627 lr=0.042590 Epoch[122] Batch [1699]/[3759] Speed: 65.362921 samples/sec accuracy=50.946691 loss=2.089650 lr=0.042577 Epoch[122] Batch [1749]/[3759] Speed: 65.011555 samples/sec accuracy=50.946429 loss=2.090769 lr=0.042564 Epoch[122] Batch [1799]/[3759] Speed: 64.278761 samples/sec accuracy=50.884549 loss=2.092903 lr=0.042551 Epoch[122] Batch [1849]/[3759] Speed: 65.049545 samples/sec accuracy=50.849662 loss=2.093734 lr=0.042538 Epoch[122] Batch [1899]/[3759] Speed: 64.814888 samples/sec accuracy=50.816612 loss=2.093668 lr=0.042525 Epoch[122] Batch [1949]/[3759] Speed: 64.972816 samples/sec accuracy=50.777244 loss=2.094152 lr=0.042512 Epoch[122] Batch [1999]/[3759] Speed: 64.158128 samples/sec accuracy=50.765625 loss=2.095730 lr=0.042499 Epoch[122] Batch [2049]/[3759] Speed: 64.565646 samples/sec accuracy=50.775152 loss=2.095359 lr=0.042486 Epoch[122] Batch [2099]/[3759] Speed: 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lr=0.042356 Epoch[122] Batch [2599]/[3759] Speed: 64.548490 samples/sec accuracy=50.642428 loss=2.102636 lr=0.042343 Epoch[122] Batch [2649]/[3759] Speed: 64.743530 samples/sec accuracy=50.617335 loss=2.103120 lr=0.042330 Epoch[122] Batch [2699]/[3759] Speed: 64.968915 samples/sec accuracy=50.589699 loss=2.104904 lr=0.042317 Epoch[122] Batch [2749]/[3759] Speed: 65.302800 samples/sec accuracy=50.603977 loss=2.103432 lr=0.042304 Epoch[122] Batch [2799]/[3759] Speed: 64.163935 samples/sec accuracy=50.623884 loss=2.102902 lr=0.042291 Epoch[122] Batch [2849]/[3759] Speed: 64.909088 samples/sec accuracy=50.620066 loss=2.103081 lr=0.042278 Epoch[122] Batch [2899]/[3759] Speed: 64.867014 samples/sec accuracy=50.596444 loss=2.103897 lr=0.042265 Epoch[122] Batch [2949]/[3759] Speed: 64.578018 samples/sec accuracy=50.592161 loss=2.103609 lr=0.042252 Epoch[122] Batch [2999]/[3759] Speed: 64.406542 samples/sec accuracy=50.588021 loss=2.103962 lr=0.042239 Epoch[122] Batch [3049]/[3759] Speed: 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lr=0.042109 Epoch[122] Batch [3549]/[3759] Speed: 63.559091 samples/sec accuracy=50.540933 loss=2.106558 lr=0.042096 Epoch[122] Batch [3599]/[3759] Speed: 65.620960 samples/sec accuracy=50.529514 loss=2.106731 lr=0.042083 Epoch[122] Batch [3649]/[3759] Speed: 64.849784 samples/sec accuracy=50.521832 loss=2.106403 lr=0.042070 Epoch[122] Batch [3699]/[3759] Speed: 64.867815 samples/sec accuracy=50.525338 loss=2.106060 lr=0.042057 Epoch[122] Batch [3749]/[3759] Speed: 67.986457 samples/sec accuracy=50.512500 loss=2.107045 lr=0.042044 Batch [0049]/[0303]: acc-top1=49.062500 acc-top5=75.437500 Batch [0099]/[0303]: acc-top1=50.234375 acc-top5=75.890625 Batch [0149]/[0303]: acc-top1=50.302083 acc-top5=76.010417 Batch [0199]/[0303]: acc-top1=50.343750 acc-top5=75.929688 Batch [0249]/[0303]: acc-top1=50.562500 acc-top5=76.156250 Batch [0299]/[0303]: acc-top1=50.666667 acc-top5=76.218750 [Epoch 122] training: accuracy=50.516677 loss=2.106832 [Epoch 122] speed: 64 samples/sec time cost: 4014.073334 [Epoch 122] validation: acc-top1=50.691007 acc-top5=76.201526 loss=2.304045 Epoch[123] Batch [0049]/[3760] Speed: 42.494517 samples/sec accuracy=51.531250 loss=2.065217 lr=0.042029 Epoch[123] Batch [0099]/[3760] Speed: 63.069945 samples/sec accuracy=51.890625 loss=2.054235 lr=0.042016 Epoch[123] Batch [0149]/[3760] Speed: 64.209947 samples/sec accuracy=52.020833 loss=2.047592 lr=0.042003 Epoch[123] Batch [0199]/[3760] Speed: 63.098380 samples/sec accuracy=51.953125 loss=2.062842 lr=0.041990 Epoch[123] Batch [0249]/[3760] Speed: 65.368382 samples/sec accuracy=51.593750 loss=2.065062 lr=0.041977 Epoch[123] Batch [0299]/[3760] Speed: 64.213204 samples/sec accuracy=51.578125 loss=2.068842 lr=0.041964 Epoch[123] Batch [0349]/[3760] Speed: 65.081582 samples/sec accuracy=51.522321 loss=2.069052 lr=0.041951 Epoch[123] Batch [0399]/[3760] Speed: 63.305531 samples/sec accuracy=51.457031 loss=2.066709 lr=0.041938 Epoch[123] Batch [0449]/[3760] Speed: 65.693645 samples/sec accuracy=51.440972 loss=2.068505 lr=0.041925 Epoch[123] Batch [0499]/[3760] Speed: 64.455640 samples/sec accuracy=51.287500 loss=2.073000 lr=0.041912 Epoch[123] Batch [0549]/[3760] Speed: 64.922725 samples/sec accuracy=51.286932 loss=2.075987 lr=0.041899 Epoch[123] Batch [0599]/[3760] Speed: 64.829500 samples/sec accuracy=51.231771 loss=2.074916 lr=0.041886 Epoch[123] Batch [0649]/[3760] Speed: 64.011759 samples/sec accuracy=51.350962 loss=2.072629 lr=0.041873 Epoch[123] Batch [0699]/[3760] Speed: 65.201560 samples/sec accuracy=51.285714 loss=2.074765 lr=0.041860 Epoch[123] Batch [0749]/[3760] Speed: 64.851313 samples/sec accuracy=51.320833 loss=2.074772 lr=0.041847 Epoch[123] Batch [0799]/[3760] Speed: 64.739412 samples/sec accuracy=51.318359 loss=2.074292 lr=0.041834 Epoch[123] Batch [0849]/[3760] Speed: 64.535721 samples/sec accuracy=51.204044 loss=2.076242 lr=0.041821 Epoch[123] Batch [0899]/[3760] Speed: 65.130234 samples/sec accuracy=51.199653 loss=2.074315 lr=0.041808 Epoch[123] 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accuracy=50.970982 loss=2.085435 lr=0.041679 Epoch[123] Batch [1449]/[3760] Speed: 63.845190 samples/sec accuracy=50.940733 loss=2.088126 lr=0.041666 Epoch[123] Batch [1499]/[3760] Speed: 64.762360 samples/sec accuracy=50.945833 loss=2.088089 lr=0.041653 Epoch[123] Batch [1549]/[3760] Speed: 65.087560 samples/sec accuracy=50.991935 loss=2.086759 lr=0.041640 Epoch[123] Batch [1599]/[3760] Speed: 64.205996 samples/sec accuracy=50.889648 loss=2.090116 lr=0.041627 Epoch[123] Batch [1649]/[3760] Speed: 64.230660 samples/sec accuracy=50.871212 loss=2.090436 lr=0.041614 Epoch[123] Batch [1699]/[3760] Speed: 64.690057 samples/sec accuracy=50.870404 loss=2.090759 lr=0.041601 Epoch[123] Batch [1749]/[3760] Speed: 65.185471 samples/sec accuracy=50.861607 loss=2.090594 lr=0.041588 Epoch[123] Batch [1799]/[3760] Speed: 64.393648 samples/sec accuracy=50.913194 loss=2.087908 lr=0.041575 Epoch[123] Batch [1849]/[3760] Speed: 63.031890 samples/sec accuracy=50.913007 loss=2.088940 lr=0.041562 Epoch[123] 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accuracy=50.828457 loss=2.090860 lr=0.041432 Epoch[123] Batch [2399]/[3760] Speed: 65.066609 samples/sec accuracy=50.828125 loss=2.090396 lr=0.041419 Epoch[123] Batch [2449]/[3760] Speed: 64.845794 samples/sec accuracy=50.832270 loss=2.090105 lr=0.041407 Epoch[123] Batch [2499]/[3760] Speed: 64.409274 samples/sec accuracy=50.835625 loss=2.090386 lr=0.041394 Epoch[123] Batch [2549]/[3760] Speed: 65.006471 samples/sec accuracy=50.834559 loss=2.091170 lr=0.041381 Epoch[123] Batch [2599]/[3760] Speed: 64.747595 samples/sec accuracy=50.847356 loss=2.090630 lr=0.041368 Epoch[123] Batch [2649]/[3760] Speed: 64.632368 samples/sec accuracy=50.835495 loss=2.091810 lr=0.041355 Epoch[123] Batch [2699]/[3760] Speed: 63.835439 samples/sec accuracy=50.832176 loss=2.092246 lr=0.041342 Epoch[123] Batch [2749]/[3760] Speed: 65.075262 samples/sec accuracy=50.830682 loss=2.092124 lr=0.041329 Epoch[123] Batch [2799]/[3760] Speed: 64.884848 samples/sec accuracy=50.815848 loss=2.092999 lr=0.041316 Epoch[123] 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accuracy=50.824811 loss=2.095265 lr=0.041187 Epoch[123] Batch [3349]/[3760] Speed: 65.444193 samples/sec accuracy=50.806437 loss=2.095416 lr=0.041174 Epoch[123] Batch [3399]/[3760] Speed: 64.955787 samples/sec accuracy=50.821232 loss=2.094567 lr=0.041161 Epoch[123] Batch [3449]/[3760] Speed: 65.264781 samples/sec accuracy=50.825181 loss=2.094610 lr=0.041148 Epoch[123] Batch [3499]/[3760] Speed: 64.449656 samples/sec accuracy=50.802232 loss=2.095473 lr=0.041135 Epoch[123] Batch [3549]/[3760] Speed: 64.621897 samples/sec accuracy=50.805018 loss=2.095502 lr=0.041122 Epoch[123] Batch [3599]/[3760] Speed: 64.929951 samples/sec accuracy=50.779080 loss=2.096438 lr=0.041109 Epoch[123] Batch [3649]/[3760] Speed: 64.879672 samples/sec accuracy=50.771404 loss=2.096801 lr=0.041096 Epoch[123] Batch [3699]/[3760] Speed: 64.824690 samples/sec accuracy=50.741976 loss=2.098867 lr=0.041083 Epoch[123] Batch [3749]/[3760] Speed: 67.216367 samples/sec accuracy=50.740833 loss=2.099279 lr=0.041070 Batch [0049]/[0303]: acc-top1=49.093750 acc-top5=75.437500 Batch [0099]/[0303]: acc-top1=49.718750 acc-top5=75.734375 Batch [0149]/[0303]: acc-top1=49.427083 acc-top5=75.500000 Batch [0199]/[0303]: acc-top1=49.921875 acc-top5=75.750000 Batch [0249]/[0303]: acc-top1=50.043750 acc-top5=75.962500 Batch [0299]/[0303]: acc-top1=50.203125 acc-top5=75.937500 [Epoch 123] training: accuracy=50.741356 loss=2.099372 [Epoch 123] speed: 64 samples/sec time cost: 4018.584606 [Epoch 123] validation: acc-top1=50.232054 acc-top5=75.938531 loss=2.320880 Epoch[124] Batch [0049]/[3760] Speed: 42.991142 samples/sec accuracy=52.125000 loss=2.049642 lr=0.041055 Epoch[124] Batch [0099]/[3760] Speed: 62.973782 samples/sec accuracy=51.812500 loss=2.034708 lr=0.041042 Epoch[124] Batch [0149]/[3760] Speed: 64.458892 samples/sec accuracy=51.989583 loss=2.036403 lr=0.041029 Epoch[124] Batch [0199]/[3760] Speed: 63.502695 samples/sec accuracy=51.882812 loss=2.039425 lr=0.041016 Epoch[124] Batch [0249]/[3760] Speed: 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lr=0.040152 Epoch[124] Batch [3599]/[3760] Speed: 63.621434 samples/sec accuracy=51.037326 loss=2.083571 lr=0.040139 Epoch[124] Batch [3649]/[3760] Speed: 65.087585 samples/sec accuracy=51.023545 loss=2.084212 lr=0.040126 Epoch[124] Batch [3699]/[3760] Speed: 64.908884 samples/sec accuracy=51.021115 loss=2.084489 lr=0.040113 Epoch[124] Batch [3749]/[3760] Speed: 68.220932 samples/sec accuracy=50.990417 loss=2.085314 lr=0.040100 Batch [0049]/[0303]: acc-top1=50.187500 acc-top5=75.781250 Batch [0099]/[0303]: acc-top1=50.515625 acc-top5=75.921875 Batch [0149]/[0303]: acc-top1=50.718750 acc-top5=76.093750 Batch [0199]/[0303]: acc-top1=50.625000 acc-top5=76.304688 Batch [0249]/[0303]: acc-top1=50.737500 acc-top5=76.543750 Batch [0299]/[0303]: acc-top1=50.708333 acc-top5=76.567708 [Epoch 124] training: accuracy=50.991107 loss=2.085240 [Epoch 124] speed: 64 samples/sec time cost: 4019.721738 [Epoch 124] validation: acc-top1=50.721947 acc-top5=76.572814 loss=2.300307 Epoch[125] Batch 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accuracy=51.344683 loss=2.069948 lr=0.039238 Epoch[125] Batch [3399]/[3759] Speed: 64.286787 samples/sec accuracy=51.323989 loss=2.070126 lr=0.039225 Epoch[125] Batch [3449]/[3759] Speed: 64.740262 samples/sec accuracy=51.289402 loss=2.071274 lr=0.039213 Epoch[125] Batch [3499]/[3759] Speed: 65.089093 samples/sec accuracy=51.267411 loss=2.071871 lr=0.039200 Epoch[125] Batch [3549]/[3759] Speed: 64.590965 samples/sec accuracy=51.249120 loss=2.072420 lr=0.039187 Epoch[125] Batch [3599]/[3759] Speed: 64.239440 samples/sec accuracy=51.246528 loss=2.072185 lr=0.039174 Epoch[125] Batch [3649]/[3759] Speed: 65.281615 samples/sec accuracy=51.218750 loss=2.072987 lr=0.039161 Epoch[125] Batch [3699]/[3759] Speed: 65.303441 samples/sec accuracy=51.217905 loss=2.072953 lr=0.039149 Epoch[125] Batch [3749]/[3759] Speed: 68.859902 samples/sec accuracy=51.218333 loss=2.073197 lr=0.039136 Batch [0049]/[0303]: acc-top1=51.312500 acc-top5=76.562500 Batch [0099]/[0303]: acc-top1=51.812500 acc-top5=76.718750 Batch [0149]/[0303]: acc-top1=51.937500 acc-top5=76.989583 Batch [0199]/[0303]: acc-top1=51.921875 acc-top5=76.875000 Batch [0249]/[0303]: acc-top1=51.993750 acc-top5=77.081250 Batch [0299]/[0303]: acc-top1=51.942708 acc-top5=77.229167 [Epoch 125] training: accuracy=51.214169 loss=2.073189 [Epoch 125] speed: 64 samples/sec time cost: 4009.336522 [Epoch 125] validation: acc-top1=51.938944 acc-top5=77.217409 loss=2.188515 Epoch[126] Batch [0049]/[3760] Speed: 43.318508 samples/sec accuracy=52.218750 loss=2.009256 lr=0.039121 Epoch[126] Batch [0099]/[3760] Speed: 62.646007 samples/sec accuracy=52.875000 loss=2.000456 lr=0.039108 Epoch[126] Batch [0149]/[3760] Speed: 64.646375 samples/sec accuracy=52.656250 loss=1.999062 lr=0.039095 Epoch[126] Batch [0199]/[3760] Speed: 64.063708 samples/sec accuracy=52.617187 loss=2.002772 lr=0.039082 Epoch[126] Batch [0249]/[3760] Speed: 64.258570 samples/sec accuracy=52.818750 loss=1.995245 lr=0.039069 Epoch[126] Batch [0299]/[3760] 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accuracy=51.371094 loss=2.062551 lr=0.038215 Epoch[126] Batch [3649]/[3760] Speed: 64.777800 samples/sec accuracy=51.375428 loss=2.063088 lr=0.038202 Epoch[126] Batch [3699]/[3760] Speed: 64.171763 samples/sec accuracy=51.366976 loss=2.063541 lr=0.038189 Epoch[126] Batch [3749]/[3760] Speed: 68.219191 samples/sec accuracy=51.382500 loss=2.062654 lr=0.038177 Batch [0049]/[0303]: acc-top1=51.531250 acc-top5=76.812500 Batch [0099]/[0303]: acc-top1=51.531250 acc-top5=77.140625 Batch [0149]/[0303]: acc-top1=51.677083 acc-top5=77.000000 Batch [0199]/[0303]: acc-top1=51.867188 acc-top5=77.257812 Batch [0249]/[0303]: acc-top1=52.112500 acc-top5=77.512500 Batch [0299]/[0303]: acc-top1=52.182292 acc-top5=77.494792 [Epoch 126] training: accuracy=51.385057 loss=2.062364 [Epoch 126] speed: 64 samples/sec time cost: 4013.662299 [Epoch 126] validation: acc-top1=52.217409 acc-top5=77.470091 loss=2.234619 Epoch[127] Batch [0049]/[3760] Speed: 42.743103 samples/sec accuracy=51.625000 loss=2.027483 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acc-top1=51.796875 acc-top5=77.296875 Batch [0249]/[0303]: acc-top1=52.318750 acc-top5=77.556250 Batch [0299]/[0303]: acc-top1=52.296875 acc-top5=77.583333 [Epoch 127] training: accuracy=51.795213 loss=2.047247 [Epoch 127] speed: 64 samples/sec time cost: 4016.159085 [Epoch 127] validation: acc-top1=52.299917 acc-top5=77.552599 loss=2.259899 Epoch[128] Batch [0049]/[3759] Speed: 42.936898 samples/sec accuracy=51.875000 loss=2.039690 lr=0.037208 Epoch[128] Batch [0099]/[3759] Speed: 63.069058 samples/sec accuracy=52.734375 loss=1.998748 lr=0.037195 Epoch[128] Batch [0149]/[3759] Speed: 64.538807 samples/sec accuracy=52.677083 loss=2.003624 lr=0.037182 Epoch[128] Batch [0199]/[3759] Speed: 63.917687 samples/sec accuracy=52.882812 loss=1.997842 lr=0.037170 Epoch[128] Batch [0249]/[3759] Speed: 64.422282 samples/sec accuracy=52.618750 loss=2.003260 lr=0.037157 Epoch[128] Batch [0299]/[3759] Speed: 64.331912 samples/sec accuracy=52.562500 loss=2.008180 lr=0.037144 Epoch[128] Batch 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accuracy=51.834491 loss=2.036385 lr=0.036539 Epoch[128] Batch [2749]/[3759] Speed: 64.867886 samples/sec accuracy=51.850000 loss=2.035515 lr=0.036526 Epoch[128] Batch [2799]/[3759] Speed: 65.014757 samples/sec accuracy=51.854353 loss=2.035355 lr=0.036514 Epoch[128] Batch [2849]/[3759] Speed: 64.206234 samples/sec accuracy=51.832785 loss=2.035970 lr=0.036501 Epoch[128] Batch [2899]/[3759] Speed: 64.706519 samples/sec accuracy=51.843211 loss=2.036497 lr=0.036489 Epoch[128] Batch [2949]/[3759] Speed: 64.913220 samples/sec accuracy=51.847987 loss=2.036559 lr=0.036476 Epoch[128] Batch [2999]/[3759] Speed: 65.207440 samples/sec accuracy=51.850521 loss=2.036828 lr=0.036463 Epoch[128] Batch [3049]/[3759] Speed: 63.530979 samples/sec accuracy=51.837602 loss=2.037402 lr=0.036451 Epoch[128] Batch [3099]/[3759] Speed: 65.425400 samples/sec accuracy=51.809980 loss=2.038176 lr=0.036438 Epoch[128] Batch [3149]/[3759] Speed: 64.967334 samples/sec accuracy=51.797123 loss=2.039103 lr=0.036426 Epoch[128] 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accuracy=51.830479 loss=2.038973 lr=0.036300 Epoch[128] Batch [3699]/[3759] Speed: 63.923676 samples/sec accuracy=51.818834 loss=2.039950 lr=0.036287 Epoch[128] Batch [3749]/[3759] Speed: 68.775784 samples/sec accuracy=51.817083 loss=2.039939 lr=0.036275 Batch [0049]/[0303]: acc-top1=50.968750 acc-top5=76.562500 Batch [0099]/[0303]: acc-top1=51.593750 acc-top5=76.921875 Batch [0149]/[0303]: acc-top1=51.593750 acc-top5=77.197917 Batch [0199]/[0303]: acc-top1=51.734375 acc-top5=77.171875 Batch [0249]/[0303]: acc-top1=52.293750 acc-top5=77.318750 Batch [0299]/[0303]: acc-top1=52.468750 acc-top5=77.395833 [Epoch 128] training: accuracy=51.826034 loss=2.039599 [Epoch 128] speed: 64 samples/sec time cost: 4013.956758 [Epoch 128] validation: acc-top1=52.490718 acc-top5=77.387583 loss=2.228417 Epoch[129] Batch [0049]/[3760] Speed: 42.690687 samples/sec accuracy=52.281250 loss=1.980243 lr=0.036260 Epoch[129] Batch [0099]/[3760] Speed: 63.118625 samples/sec accuracy=52.015625 loss=2.019614 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lr=0.035533 Epoch[129] Batch [2999]/[3760] Speed: 64.661830 samples/sec accuracy=52.082292 loss=2.026741 lr=0.035521 Epoch[129] Batch [3049]/[3760] Speed: 63.961223 samples/sec accuracy=52.063012 loss=2.027755 lr=0.035508 Epoch[129] Batch [3099]/[3760] Speed: 65.164248 samples/sec accuracy=52.080645 loss=2.027554 lr=0.035496 Epoch[129] Batch [3149]/[3760] Speed: 64.452344 samples/sec accuracy=52.104167 loss=2.027869 lr=0.035483 Epoch[129] Batch [3199]/[3760] Speed: 64.844651 samples/sec accuracy=52.120605 loss=2.027285 lr=0.035471 Epoch[129] Batch [3249]/[3760] Speed: 63.618658 samples/sec accuracy=52.102885 loss=2.027521 lr=0.035458 Epoch[129] Batch [3299]/[3760] Speed: 65.023024 samples/sec accuracy=52.125473 loss=2.026931 lr=0.035446 Epoch[129] Batch [3349]/[3760] Speed: 64.373265 samples/sec accuracy=52.109608 loss=2.027367 lr=0.035433 Epoch[129] Batch [3399]/[3760] Speed: 64.891055 samples/sec accuracy=52.096048 loss=2.027326 lr=0.035421 Epoch[129] Batch [3449]/[3760] Speed: 65.036954 samples/sec accuracy=52.082428 loss=2.028791 lr=0.035408 Epoch[129] Batch [3499]/[3760] Speed: 63.768320 samples/sec accuracy=52.079464 loss=2.029942 lr=0.035396 Epoch[129] Batch [3549]/[3760] Speed: 65.259695 samples/sec accuracy=52.094190 loss=2.029565 lr=0.035383 Epoch[129] Batch [3599]/[3760] Speed: 64.632090 samples/sec accuracy=52.092014 loss=2.029260 lr=0.035371 Epoch[129] Batch [3649]/[3760] Speed: 65.123401 samples/sec accuracy=52.077483 loss=2.029469 lr=0.035358 Epoch[129] Batch [3699]/[3760] Speed: 63.922679 samples/sec accuracy=52.081503 loss=2.029215 lr=0.035346 Epoch[129] Batch [3749]/[3760] Speed: 68.329902 samples/sec accuracy=52.087917 loss=2.029413 lr=0.035333 Batch [0049]/[0303]: acc-top1=50.281250 acc-top5=76.156250 Batch [0099]/[0303]: acc-top1=50.718750 acc-top5=76.281250 Batch [0149]/[0303]: acc-top1=51.052083 acc-top5=76.208333 Batch [0199]/[0303]: acc-top1=50.976562 acc-top5=76.328125 Batch [0249]/[0303]: acc-top1=51.506250 acc-top5=76.550000 Batch [0299]/[0303]: acc-top1=51.375000 acc-top5=76.468750 [Epoch 129] training: accuracy=52.088597 loss=2.029666 [Epoch 129] speed: 64 samples/sec time cost: 4021.249591 [Epoch 129] validation: acc-top1=51.428424 acc-top5=76.474835 loss=2.255180 Epoch[130] Batch [0049]/[3759] Speed: 42.381513 samples/sec accuracy=51.000000 loss=2.042906 lr=0.035318 Epoch[130] Batch [0099]/[3759] Speed: 63.308767 samples/sec accuracy=52.312500 loss=1.990163 lr=0.035306 Epoch[130] Batch [0149]/[3759] Speed: 63.916524 samples/sec accuracy=52.750000 loss=1.978584 lr=0.035294 Epoch[130] Batch [0199]/[3759] Speed: 64.290307 samples/sec accuracy=52.742188 loss=1.983545 lr=0.035281 Epoch[130] Batch [0249]/[3759] Speed: 64.716005 samples/sec accuracy=52.975000 loss=1.989377 lr=0.035269 Epoch[130] Batch [0299]/[3759] Speed: 63.862439 samples/sec accuracy=52.984375 loss=1.989124 lr=0.035256 Epoch[130] Batch [0349]/[3759] Speed: 64.487157 samples/sec accuracy=53.156250 loss=1.980831 lr=0.035244 Epoch[130] Batch 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accuracy=53.012153 loss=1.987040 lr=0.034882 Epoch[130] Batch [1849]/[3759] Speed: 64.580215 samples/sec accuracy=53.004223 loss=1.987950 lr=0.034870 Epoch[130] Batch [1899]/[3759] Speed: 65.045000 samples/sec accuracy=52.995888 loss=1.988969 lr=0.034858 Epoch[130] Batch [1949]/[3759] Speed: 64.974919 samples/sec accuracy=53.012019 loss=1.988549 lr=0.034845 Epoch[130] Batch [1999]/[3759] Speed: 64.178765 samples/sec accuracy=53.010156 loss=1.989466 lr=0.034833 Epoch[130] Batch [2049]/[3759] Speed: 65.084965 samples/sec accuracy=52.990854 loss=1.989969 lr=0.034820 Epoch[130] Batch [2099]/[3759] Speed: 64.687348 samples/sec accuracy=52.977679 loss=1.990463 lr=0.034808 Epoch[130] Batch [2149]/[3759] Speed: 65.164857 samples/sec accuracy=52.974564 loss=1.991108 lr=0.034795 Epoch[130] Batch [2199]/[3759] Speed: 63.659033 samples/sec accuracy=52.946023 loss=1.992524 lr=0.034783 Epoch[130] Batch [2249]/[3759] Speed: 65.323450 samples/sec accuracy=52.947917 loss=1.992352 lr=0.034771 Epoch[130] 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accuracy=52.743182 loss=2.000282 lr=0.034646 Epoch[130] Batch [2799]/[3759] Speed: 64.644132 samples/sec accuracy=52.736607 loss=2.000569 lr=0.034634 Epoch[130] Batch [2849]/[3759] Speed: 64.530325 samples/sec accuracy=52.708882 loss=2.001438 lr=0.034622 Epoch[130] Batch [2899]/[3759] Speed: 64.771308 samples/sec accuracy=52.703125 loss=2.001583 lr=0.034609 Epoch[130] Batch [2949]/[3759] Speed: 64.898228 samples/sec accuracy=52.704449 loss=2.002043 lr=0.034597 Epoch[130] Batch [2999]/[3759] Speed: 65.149379 samples/sec accuracy=52.671875 loss=2.003516 lr=0.034584 Epoch[130] Batch [3049]/[3759] Speed: 64.514662 samples/sec accuracy=52.673156 loss=2.003862 lr=0.034572 Epoch[130] Batch [3099]/[3759] Speed: 65.044690 samples/sec accuracy=52.681452 loss=2.004037 lr=0.034560 Epoch[130] Batch [3149]/[3759] Speed: 64.472404 samples/sec accuracy=52.677083 loss=2.004638 lr=0.034547 Epoch[130] Batch [3199]/[3759] Speed: 65.132989 samples/sec accuracy=52.647461 loss=2.005482 lr=0.034535 Epoch[130] Batch [3249]/[3759] Speed: 63.960572 samples/sec accuracy=52.635096 loss=2.005802 lr=0.034522 Epoch[130] Batch [3299]/[3759] Speed: 65.219710 samples/sec accuracy=52.648201 loss=2.005110 lr=0.034510 Epoch[130] Batch [3349]/[3759] Speed: 64.589802 samples/sec accuracy=52.615672 loss=2.006377 lr=0.034498 Epoch[130] Batch [3399]/[3759] Speed: 65.101172 samples/sec accuracy=52.613511 loss=2.006551 lr=0.034485 Epoch[130] Batch [3449]/[3759] Speed: 63.849827 samples/sec accuracy=52.601449 loss=2.007584 lr=0.034473 Epoch[130] Batch [3499]/[3759] Speed: 65.615634 samples/sec accuracy=52.598214 loss=2.008182 lr=0.034460 Epoch[130] Batch [3549]/[3759] Speed: 65.147159 samples/sec accuracy=52.588908 loss=2.009029 lr=0.034448 Epoch[130] Batch [3599]/[3759] Speed: 64.380712 samples/sec accuracy=52.585503 loss=2.009256 lr=0.034436 Epoch[130] Batch [3649]/[3759] Speed: 64.913656 samples/sec accuracy=52.591182 loss=2.009681 lr=0.034423 Epoch[130] Batch [3699]/[3759] Speed: 64.470869 samples/sec accuracy=52.573480 loss=2.010221 lr=0.034411 Epoch[130] Batch [3749]/[3759] Speed: 68.273206 samples/sec accuracy=52.560833 loss=2.010374 lr=0.034398 Batch [0049]/[0303]: acc-top1=51.000000 acc-top5=76.218750 Batch [0099]/[0303]: acc-top1=51.859375 acc-top5=77.265625 Batch [0149]/[0303]: acc-top1=51.718750 acc-top5=76.833333 Batch [0199]/[0303]: acc-top1=51.726562 acc-top5=76.929688 Batch [0249]/[0303]: acc-top1=51.831250 acc-top5=77.012500 Batch [0299]/[0303]: acc-top1=51.796875 acc-top5=77.119792 [Epoch 130] training: accuracy=52.555533 loss=2.010458 [Epoch 130] speed: 64 samples/sec time cost: 4018.197168 [Epoch 130] validation: acc-top1=51.799711 acc-top5=77.119431 loss=2.373259 Epoch[131] Batch [0049]/[3760] Speed: 42.540521 samples/sec accuracy=54.500000 loss=1.898582 lr=0.034384 Epoch[131] Batch [0099]/[3760] Speed: 62.992147 samples/sec accuracy=53.593750 loss=1.921921 lr=0.034371 Epoch[131] Batch [0149]/[3760] Speed: 63.701944 samples/sec accuracy=53.270833 loss=1.948740 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lr=0.034124 Epoch[131] Batch [1149]/[3760] Speed: 64.922968 samples/sec accuracy=53.092391 loss=1.977054 lr=0.034111 Epoch[131] Batch [1199]/[3760] Speed: 64.184967 samples/sec accuracy=53.055990 loss=1.978114 lr=0.034099 Epoch[131] Batch [1249]/[3760] Speed: 64.838619 samples/sec accuracy=53.006250 loss=1.979630 lr=0.034087 Epoch[131] Batch [1299]/[3760] Speed: 64.818897 samples/sec accuracy=53.000000 loss=1.980441 lr=0.034074 Epoch[131] Batch [1349]/[3760] Speed: 64.566081 samples/sec accuracy=52.958333 loss=1.982206 lr=0.034062 Epoch[131] Batch [1399]/[3760] Speed: 64.559435 samples/sec accuracy=52.905134 loss=1.985297 lr=0.034050 Epoch[131] Batch [1449]/[3760] Speed: 64.760183 samples/sec accuracy=52.925647 loss=1.986863 lr=0.034037 Epoch[131] Batch [1499]/[3760] Speed: 65.145161 samples/sec accuracy=52.940625 loss=1.986099 lr=0.034025 Epoch[131] Batch [1549]/[3760] Speed: 64.747112 samples/sec accuracy=52.968750 loss=1.984782 lr=0.034013 Epoch[131] Batch [1599]/[3760] Speed: 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lr=0.033889 Epoch[131] Batch [2099]/[3760] Speed: 64.569755 samples/sec accuracy=52.945685 loss=1.987624 lr=0.033877 Epoch[131] Batch [2149]/[3760] Speed: 64.714145 samples/sec accuracy=52.945494 loss=1.987981 lr=0.033865 Epoch[131] Batch [2199]/[3760] Speed: 64.193816 samples/sec accuracy=52.941051 loss=1.987967 lr=0.033852 Epoch[131] Batch [2249]/[3760] Speed: 64.541408 samples/sec accuracy=52.927778 loss=1.988190 lr=0.033840 Epoch[131] Batch [2299]/[3760] Speed: 64.804218 samples/sec accuracy=52.896060 loss=1.990001 lr=0.033828 Epoch[131] Batch [2349]/[3760] Speed: 65.009080 samples/sec accuracy=52.928856 loss=1.989096 lr=0.033815 Epoch[131] Batch [2399]/[3760] Speed: 64.778200 samples/sec accuracy=52.904948 loss=1.990337 lr=0.033803 Epoch[131] Batch [2449]/[3760] Speed: 63.922974 samples/sec accuracy=52.884566 loss=1.991273 lr=0.033791 Epoch[131] Batch [2499]/[3760] Speed: 65.486050 samples/sec accuracy=52.893750 loss=1.990819 lr=0.033778 Epoch[131] Batch [2549]/[3760] Speed: 64.443204 samples/sec accuracy=52.876838 loss=1.991658 lr=0.033766 Epoch[131] Batch [2599]/[3760] Speed: 65.335026 samples/sec accuracy=52.897236 loss=1.991714 lr=0.033754 Epoch[131] Batch [2649]/[3760] Speed: 63.662998 samples/sec accuracy=52.869693 loss=1.992694 lr=0.033741 Epoch[131] Batch [2699]/[3760] Speed: 64.880223 samples/sec accuracy=52.858218 loss=1.992803 lr=0.033729 Epoch[131] Batch [2749]/[3760] Speed: 64.753143 samples/sec accuracy=52.877273 loss=1.992424 lr=0.033717 Epoch[131] Batch [2799]/[3760] Speed: 64.757288 samples/sec accuracy=52.867746 loss=1.992343 lr=0.033704 Epoch[131] Batch [2849]/[3760] Speed: 63.760357 samples/sec accuracy=52.818531 loss=1.993666 lr=0.033692 Epoch[131] Batch [2899]/[3760] Speed: 65.354602 samples/sec accuracy=52.805496 loss=1.994484 lr=0.033680 Epoch[131] Batch [2949]/[3760] Speed: 64.825400 samples/sec accuracy=52.791843 loss=1.995112 lr=0.033667 Epoch[131] Batch [2999]/[3760] Speed: 64.834702 samples/sec accuracy=52.783854 loss=1.995364 lr=0.033655 Epoch[131] Batch [3049]/[3760] Speed: 63.712192 samples/sec accuracy=52.768443 loss=1.996567 lr=0.033643 Epoch[131] Batch [3099]/[3760] Speed: 65.337026 samples/sec accuracy=52.780242 loss=1.996340 lr=0.033630 Epoch[131] Batch [3149]/[3760] Speed: 64.357430 samples/sec accuracy=52.791667 loss=1.995869 lr=0.033618 Epoch[131] Batch [3199]/[3760] Speed: 64.656449 samples/sec accuracy=52.789551 loss=1.996282 lr=0.033606 Epoch[131] Batch [3249]/[3760] Speed: 65.050941 samples/sec accuracy=52.772115 loss=1.996534 lr=0.033593 Epoch[131] Batch [3299]/[3760] Speed: 64.177075 samples/sec accuracy=52.751420 loss=1.996640 lr=0.033581 Epoch[131] Batch [3349]/[3760] Speed: 64.830768 samples/sec accuracy=52.744869 loss=1.996993 lr=0.033569 Epoch[131] Batch [3399]/[3760] Speed: 64.670397 samples/sec accuracy=52.735294 loss=1.997694 lr=0.033556 Epoch[131] Batch [3449]/[3760] Speed: 64.793288 samples/sec accuracy=52.713315 loss=1.997894 lr=0.033544 Epoch[131] Batch [3499]/[3760] Speed: 64.397687 samples/sec accuracy=52.723661 loss=1.997545 lr=0.033532 Epoch[131] Batch [3549]/[3760] Speed: 64.808055 samples/sec accuracy=52.718750 loss=1.997723 lr=0.033520 Epoch[131] Batch [3599]/[3760] Speed: 64.892165 samples/sec accuracy=52.726562 loss=1.997710 lr=0.033507 Epoch[131] Batch [3649]/[3760] Speed: 64.582841 samples/sec accuracy=52.726884 loss=1.997912 lr=0.033495 Epoch[131] Batch [3699]/[3760] Speed: 64.373022 samples/sec accuracy=52.722128 loss=1.997636 lr=0.033483 Epoch[131] Batch [3749]/[3760] Speed: 67.625282 samples/sec accuracy=52.730417 loss=1.997917 lr=0.033470 Batch [0049]/[0303]: acc-top1=51.937500 acc-top5=76.625000 Batch [0099]/[0303]: acc-top1=51.718750 acc-top5=76.671875 Batch [0149]/[0303]: acc-top1=51.677083 acc-top5=76.375000 Batch [0199]/[0303]: acc-top1=51.789063 acc-top5=76.406250 Batch [0249]/[0303]: acc-top1=52.012500 acc-top5=76.718750 Batch [0299]/[0303]: acc-top1=52.067708 acc-top5=76.786458 [Epoch 131] training: accuracy=52.723570 loss=1.998102 [Epoch 131] speed: 64 samples/sec time cost: 4023.254613 [Epoch 131] validation: acc-top1=52.083333 acc-top5=76.825495 loss=2.253135 Epoch[132] Batch [0049]/[3760] Speed: 42.689908 samples/sec accuracy=53.562500 loss=1.962524 lr=0.033456 Epoch[132] Batch [0099]/[3760] Speed: 62.782727 samples/sec accuracy=55.000000 loss=1.906987 lr=0.033443 Epoch[132] Batch [0149]/[3760] Speed: 63.646251 samples/sec accuracy=54.562500 loss=1.923662 lr=0.033431 Epoch[132] Batch [0199]/[3760] Speed: 64.060883 samples/sec accuracy=54.093750 loss=1.936181 lr=0.033419 Epoch[132] Batch [0249]/[3760] Speed: 65.465826 samples/sec accuracy=53.956250 loss=1.945046 lr=0.033406 Epoch[132] Batch [0299]/[3760] Speed: 64.496055 samples/sec accuracy=53.932292 loss=1.949554 lr=0.033394 Epoch[132] Batch [0349]/[3760] Speed: 63.714898 samples/sec accuracy=53.906250 loss=1.941997 lr=0.033382 Epoch[132] Batch [0399]/[3760] Speed: 65.111094 samples/sec accuracy=53.812500 loss=1.944781 lr=0.033370 Epoch[132] Batch 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accuracy=53.458333 loss=1.956775 lr=0.033247 Epoch[132] Batch [0949]/[3760] Speed: 64.335999 samples/sec accuracy=53.481908 loss=1.958527 lr=0.033235 Epoch[132] Batch [0999]/[3760] Speed: 63.928515 samples/sec accuracy=53.525000 loss=1.957740 lr=0.033222 Epoch[132] Batch [1049]/[3760] Speed: 64.658557 samples/sec accuracy=53.446429 loss=1.959848 lr=0.033210 Epoch[132] Batch [1099]/[3760] Speed: 65.133962 samples/sec accuracy=53.393466 loss=1.961127 lr=0.033198 Epoch[132] Batch [1149]/[3760] Speed: 65.124483 samples/sec accuracy=53.323370 loss=1.963778 lr=0.033185 Epoch[132] Batch [1199]/[3760] Speed: 64.417705 samples/sec accuracy=53.287760 loss=1.965756 lr=0.033173 Epoch[132] Batch [1249]/[3760] Speed: 65.133969 samples/sec accuracy=53.293750 loss=1.964910 lr=0.033161 Epoch[132] Batch [1299]/[3760] Speed: 64.917569 samples/sec accuracy=53.276442 loss=1.965336 lr=0.033149 Epoch[132] Batch [1349]/[3760] Speed: 65.072707 samples/sec accuracy=53.224537 loss=1.968838 lr=0.033136 Epoch[132] 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accuracy=53.136824 loss=1.977503 lr=0.033014 Epoch[132] Batch [1899]/[3760] Speed: 64.624096 samples/sec accuracy=53.132401 loss=1.977864 lr=0.033002 Epoch[132] Batch [1949]/[3760] Speed: 65.112153 samples/sec accuracy=53.109776 loss=1.978868 lr=0.032989 Epoch[132] Batch [1999]/[3760] Speed: 64.563946 samples/sec accuracy=53.117187 loss=1.979033 lr=0.032977 Epoch[132] Batch [2049]/[3760] Speed: 64.333456 samples/sec accuracy=53.110518 loss=1.979683 lr=0.032965 Epoch[132] Batch [2099]/[3760] Speed: 65.016973 samples/sec accuracy=53.093750 loss=1.980194 lr=0.032953 Epoch[132] Batch [2149]/[3760] Speed: 65.214176 samples/sec accuracy=53.087209 loss=1.981756 lr=0.032940 Epoch[132] Batch [2199]/[3760] Speed: 64.793732 samples/sec accuracy=53.105114 loss=1.980972 lr=0.032928 Epoch[132] Batch [2249]/[3760] Speed: 64.065374 samples/sec accuracy=53.141667 loss=1.980380 lr=0.032916 Epoch[132] Batch [2299]/[3760] Speed: 65.022029 samples/sec accuracy=53.156929 loss=1.980871 lr=0.032904 Epoch[132] 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accuracy=53.121094 loss=1.980355 lr=0.032781 Epoch[132] Batch [2849]/[3760] Speed: 64.850163 samples/sec accuracy=53.117325 loss=1.980329 lr=0.032769 Epoch[132] Batch [2899]/[3760] Speed: 63.937118 samples/sec accuracy=53.100216 loss=1.980569 lr=0.032757 Epoch[132] Batch [2949]/[3760] Speed: 64.634250 samples/sec accuracy=53.099576 loss=1.980909 lr=0.032745 Epoch[132] Batch [2999]/[3760] Speed: 65.368519 samples/sec accuracy=53.083333 loss=1.981822 lr=0.032733 Epoch[132] Batch [3049]/[3760] Speed: 64.741014 samples/sec accuracy=53.076844 loss=1.982397 lr=0.032720 Epoch[132] Batch [3099]/[3760] Speed: 64.232031 samples/sec accuracy=53.050907 loss=1.983463 lr=0.032708 Epoch[132] Batch [3149]/[3760] Speed: 64.811556 samples/sec accuracy=53.049107 loss=1.983927 lr=0.032696 Epoch[132] Batch [3199]/[3760] Speed: 64.716195 samples/sec accuracy=53.047852 loss=1.983610 lr=0.032684 Epoch[132] Batch [3249]/[3760] Speed: 64.673784 samples/sec accuracy=53.032212 loss=1.984025 lr=0.032671 Epoch[132] 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accuracy=53.005417 loss=1.986747 lr=0.032549 Batch [0049]/[0303]: acc-top1=52.031250 acc-top5=77.250000 Batch [0099]/[0303]: acc-top1=52.796875 acc-top5=77.453125 Batch [0149]/[0303]: acc-top1=52.750000 acc-top5=77.364583 Batch [0199]/[0303]: acc-top1=52.593750 acc-top5=77.468750 Batch [0249]/[0303]: acc-top1=52.775000 acc-top5=77.737500 Batch [0299]/[0303]: acc-top1=52.692708 acc-top5=77.755208 [Epoch 132] training: accuracy=53.012384 loss=1.986353 [Epoch 132] speed: 64 samples/sec time cost: 4017.366747 [Epoch 132] validation: acc-top1=52.696988 acc-top5=77.758870 loss=2.221200 Epoch[133] Batch [0049]/[3759] Speed: 42.623106 samples/sec accuracy=52.718750 loss=1.962459 lr=0.032535 Epoch[133] Batch [0099]/[3759] Speed: 63.242991 samples/sec accuracy=53.250000 loss=1.970728 lr=0.032523 Epoch[133] Batch [0149]/[3759] Speed: 64.861941 samples/sec accuracy=53.625000 loss=1.940970 lr=0.032510 Epoch[133] Batch [0199]/[3759] Speed: 63.610284 samples/sec accuracy=54.039062 loss=1.942799 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lr=0.032036 Epoch[133] Batch [2149]/[3759] Speed: 64.847839 samples/sec accuracy=53.335756 loss=1.968048 lr=0.032024 Epoch[133] Batch [2199]/[3759] Speed: 64.188464 samples/sec accuracy=53.345170 loss=1.968077 lr=0.032012 Epoch[133] Batch [2249]/[3759] Speed: 65.602695 samples/sec accuracy=53.309028 loss=1.968124 lr=0.031999 Epoch[133] Batch [2299]/[3759] Speed: 64.913486 samples/sec accuracy=53.293478 loss=1.968915 lr=0.031987 Epoch[133] Batch [2349]/[3759] Speed: 64.731698 samples/sec accuracy=53.281915 loss=1.969322 lr=0.031975 Epoch[133] Batch [2399]/[3759] Speed: 64.976420 samples/sec accuracy=53.291667 loss=1.969325 lr=0.031963 Epoch[133] Batch [2449]/[3759] Speed: 64.134367 samples/sec accuracy=53.269133 loss=1.969906 lr=0.031951 Epoch[133] Batch [2499]/[3759] Speed: 65.042213 samples/sec accuracy=53.254375 loss=1.970699 lr=0.031939 Epoch[133] Batch [2549]/[3759] Speed: 64.964244 samples/sec accuracy=53.219975 loss=1.971871 lr=0.031927 Epoch[133] Batch [2599]/[3759] Speed: 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lr=0.031805 Epoch[133] Batch [3099]/[3759] Speed: 64.496787 samples/sec accuracy=53.246472 loss=1.974046 lr=0.031793 Epoch[133] Batch [3149]/[3759] Speed: 64.864939 samples/sec accuracy=53.254464 loss=1.973885 lr=0.031781 Epoch[133] Batch [3199]/[3759] Speed: 64.567489 samples/sec accuracy=53.256836 loss=1.974450 lr=0.031769 Epoch[133] Batch [3249]/[3759] Speed: 64.767962 samples/sec accuracy=53.275481 loss=1.974428 lr=0.031757 Epoch[133] Batch [3299]/[3759] Speed: 65.182185 samples/sec accuracy=53.290246 loss=1.973815 lr=0.031745 Epoch[133] Batch [3349]/[3759] Speed: 64.014709 samples/sec accuracy=53.300840 loss=1.973688 lr=0.031733 Epoch[133] Batch [3399]/[3759] Speed: 64.629673 samples/sec accuracy=53.291820 loss=1.973640 lr=0.031721 Epoch[133] Batch [3449]/[3759] Speed: 64.975084 samples/sec accuracy=53.292120 loss=1.973809 lr=0.031708 Epoch[133] Batch [3499]/[3759] Speed: 65.020129 samples/sec accuracy=53.272768 loss=1.974439 lr=0.031696 Epoch[133] Batch [3549]/[3759] Speed: 64.188279 samples/sec accuracy=53.273327 loss=1.974225 lr=0.031684 Epoch[133] Batch [3599]/[3759] Speed: 64.540113 samples/sec accuracy=53.292101 loss=1.973526 lr=0.031672 Epoch[133] Batch [3649]/[3759] Speed: 65.134133 samples/sec accuracy=53.279110 loss=1.974353 lr=0.031660 Epoch[133] Batch [3699]/[3759] Speed: 65.034079 samples/sec accuracy=53.282095 loss=1.974703 lr=0.031648 Epoch[133] Batch [3749]/[3759] Speed: 68.412950 samples/sec accuracy=53.291667 loss=1.973861 lr=0.031636 Batch [0049]/[0303]: acc-top1=52.375000 acc-top5=77.343750 Batch [0099]/[0303]: acc-top1=52.734375 acc-top5=78.125000 Batch [0149]/[0303]: acc-top1=52.937500 acc-top5=78.093750 Batch [0199]/[0303]: acc-top1=53.062500 acc-top5=78.148438 Batch [0249]/[0303]: acc-top1=53.231250 acc-top5=78.225000 Batch [0299]/[0303]: acc-top1=53.302083 acc-top5=78.270833 [Epoch 133] training: accuracy=53.290852 loss=1.973853 [Epoch 133] speed: 64 samples/sec time cost: 4014.343047 [Epoch 133] validation: acc-top1=53.310644 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accuracy=53.782895 loss=1.946310 lr=0.031175 Epoch[134] Batch [1949]/[3760] Speed: 65.293362 samples/sec accuracy=53.762019 loss=1.946980 lr=0.031163 Epoch[134] Batch [1999]/[3760] Speed: 64.809662 samples/sec accuracy=53.752344 loss=1.947090 lr=0.031151 Epoch[134] Batch [2049]/[3760] Speed: 64.436045 samples/sec accuracy=53.742378 loss=1.947221 lr=0.031139 Epoch[134] Batch [2099]/[3760] Speed: 65.089277 samples/sec accuracy=53.755952 loss=1.948323 lr=0.031127 Epoch[134] Batch [2149]/[3760] Speed: 64.869643 samples/sec accuracy=53.788517 loss=1.947540 lr=0.031115 Epoch[134] Batch [2199]/[3760] Speed: 65.057877 samples/sec accuracy=53.757812 loss=1.948759 lr=0.031103 Epoch[134] Batch [2249]/[3760] Speed: 64.055210 samples/sec accuracy=53.788889 loss=1.948150 lr=0.031091 Epoch[134] Batch [2299]/[3760] Speed: 65.240555 samples/sec accuracy=53.789402 loss=1.948112 lr=0.031079 Epoch[134] Batch [2349]/[3760] Speed: 65.135390 samples/sec accuracy=53.781915 loss=1.947753 lr=0.031067 Epoch[134] 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accuracy=53.640351 loss=1.952947 lr=0.030946 Epoch[134] Batch [2899]/[3760] Speed: 64.641045 samples/sec accuracy=53.636315 loss=1.952381 lr=0.030934 Epoch[134] Batch [2949]/[3760] Speed: 64.344290 samples/sec accuracy=53.663136 loss=1.952173 lr=0.030922 Epoch[134] Batch [2999]/[3760] Speed: 64.991918 samples/sec accuracy=53.621875 loss=1.953273 lr=0.030910 Epoch[134] Batch [3049]/[3760] Speed: 64.747636 samples/sec accuracy=53.624488 loss=1.953470 lr=0.030898 Epoch[134] Batch [3099]/[3760] Speed: 65.722684 samples/sec accuracy=53.645665 loss=1.952858 lr=0.030886 Epoch[134] Batch [3149]/[3760] Speed: 63.945592 samples/sec accuracy=53.654762 loss=1.953219 lr=0.030874 Epoch[134] Batch [3199]/[3760] Speed: 65.497849 samples/sec accuracy=53.647461 loss=1.953572 lr=0.030862 Epoch[134] Batch [3249]/[3760] Speed: 65.064528 samples/sec accuracy=53.659135 loss=1.953203 lr=0.030850 Epoch[134] Batch [3299]/[3760] Speed: 65.181204 samples/sec accuracy=53.675189 loss=1.953411 lr=0.030838 Epoch[134] 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[0099]/[0303]: acc-top1=53.671875 acc-top5=78.093750 Batch [0149]/[0303]: acc-top1=53.343750 acc-top5=77.885417 Batch [0199]/[0303]: acc-top1=53.421875 acc-top5=77.968750 Batch [0249]/[0303]: acc-top1=53.493750 acc-top5=78.256250 Batch [0299]/[0303]: acc-top1=53.703125 acc-top5=78.239583 [Epoch 134] training: accuracy=53.656915 loss=1.954298 [Epoch 134] speed: 64 samples/sec time cost: 4009.158113 [Epoch 134] validation: acc-top1=53.702558 acc-top5=78.243606 loss=2.193486 Epoch[135] Batch [0049]/[3760] Speed: 42.525501 samples/sec accuracy=54.250000 loss=1.938292 lr=0.030716 Epoch[135] Batch [0099]/[3760] Speed: 63.970788 samples/sec accuracy=53.734375 loss=1.956703 lr=0.030704 Epoch[135] Batch [0149]/[3760] Speed: 64.766865 samples/sec accuracy=53.802083 loss=1.938190 lr=0.030692 Epoch[135] Batch [0199]/[3760] Speed: 63.922823 samples/sec accuracy=54.531250 loss=1.924021 lr=0.030680 Epoch[135] Batch [0249]/[3760] Speed: 65.167914 samples/sec accuracy=54.600000 loss=1.920113 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lr=0.029987 Epoch[135] Batch [3149]/[3760] Speed: 65.227814 samples/sec accuracy=53.909226 loss=1.945755 lr=0.029975 Epoch[135] Batch [3199]/[3760] Speed: 64.627164 samples/sec accuracy=53.904785 loss=1.946152 lr=0.029964 Epoch[135] Batch [3249]/[3760] Speed: 64.979535 samples/sec accuracy=53.884135 loss=1.946932 lr=0.029952 Epoch[135] Batch [3299]/[3760] Speed: 63.732646 samples/sec accuracy=53.882576 loss=1.946850 lr=0.029940 Epoch[135] Batch [3349]/[3760] Speed: 65.406241 samples/sec accuracy=53.874534 loss=1.946395 lr=0.029928 Epoch[135] Batch [3399]/[3760] Speed: 64.840318 samples/sec accuracy=53.864890 loss=1.947007 lr=0.029916 Epoch[135] Batch [3449]/[3760] Speed: 65.103103 samples/sec accuracy=53.862772 loss=1.947000 lr=0.029904 Epoch[135] Batch [3499]/[3760] Speed: 64.618745 samples/sec accuracy=53.858482 loss=1.947339 lr=0.029892 Epoch[135] Batch [3549]/[3760] Speed: 64.017093 samples/sec accuracy=53.875000 loss=1.946539 lr=0.029880 Epoch[135] Batch [3599]/[3760] Speed: 64.886584 samples/sec accuracy=53.848524 loss=1.947568 lr=0.029868 Epoch[135] Batch [3649]/[3760] Speed: 64.994679 samples/sec accuracy=53.841610 loss=1.947706 lr=0.029857 Epoch[135] Batch [3699]/[3760] Speed: 65.094680 samples/sec accuracy=53.845861 loss=1.947524 lr=0.029845 Epoch[135] Batch [3749]/[3760] Speed: 66.867759 samples/sec accuracy=53.854583 loss=1.947336 lr=0.029833 Batch [0049]/[0303]: acc-top1=52.968750 acc-top5=77.812500 Batch [0099]/[0303]: acc-top1=53.218750 acc-top5=78.000000 Batch [0149]/[0303]: acc-top1=52.958333 acc-top5=77.864583 Batch [0199]/[0303]: acc-top1=53.289062 acc-top5=78.156250 Batch [0249]/[0303]: acc-top1=53.500000 acc-top5=78.443750 Batch [0299]/[0303]: acc-top1=53.651042 acc-top5=78.473958 [Epoch 135] training: accuracy=53.850150 loss=1.947519 [Epoch 135] speed: 64 samples/sec time cost: 4013.997862 [Epoch 135] validation: acc-top1=53.671617 acc-top5=78.470503 loss=2.167939 Epoch[136] Batch [0049]/[3759] Speed: 42.261654 samples/sec 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accuracy=54.529688 loss=1.913206 lr=0.029593 Epoch[136] Batch [1049]/[3759] Speed: 63.647384 samples/sec accuracy=54.482143 loss=1.916560 lr=0.029581 Epoch[136] Batch [1099]/[3759] Speed: 65.811194 samples/sec accuracy=54.488636 loss=1.918861 lr=0.029569 Epoch[136] Batch [1149]/[3759] Speed: 64.701750 samples/sec accuracy=54.540761 loss=1.918986 lr=0.029557 Epoch[136] Batch [1199]/[3759] Speed: 64.682976 samples/sec accuracy=54.449219 loss=1.922138 lr=0.029546 Epoch[136] Batch [1249]/[3759] Speed: 65.152890 samples/sec accuracy=54.383750 loss=1.926066 lr=0.029534 Epoch[136] Batch [1299]/[3759] Speed: 64.280638 samples/sec accuracy=54.324519 loss=1.928365 lr=0.029522 Epoch[136] Batch [1349]/[3759] Speed: 64.746959 samples/sec accuracy=54.325231 loss=1.927742 lr=0.029510 Epoch[136] Batch [1399]/[3759] Speed: 65.112753 samples/sec accuracy=54.362723 loss=1.926758 lr=0.029498 Epoch[136] Batch [1449]/[3759] Speed: 64.807563 samples/sec accuracy=54.267241 loss=1.929265 lr=0.029486 Epoch[136] 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accuracy=54.175481 loss=1.932848 lr=0.029368 Epoch[136] Batch [1999]/[3759] Speed: 64.545542 samples/sec accuracy=54.146094 loss=1.934876 lr=0.029356 Epoch[136] Batch [2049]/[3759] Speed: 64.695802 samples/sec accuracy=54.157012 loss=1.934077 lr=0.029345 Epoch[136] Batch [2099]/[3759] Speed: 64.889079 samples/sec accuracy=54.202381 loss=1.932099 lr=0.029333 Epoch[136] Batch [2149]/[3759] Speed: 64.361014 samples/sec accuracy=54.191860 loss=1.932289 lr=0.029321 Epoch[136] Batch [2199]/[3759] Speed: 64.895200 samples/sec accuracy=54.192472 loss=1.931548 lr=0.029309 Epoch[136] Batch [2249]/[3759] Speed: 64.881498 samples/sec accuracy=54.219444 loss=1.930443 lr=0.029297 Epoch[136] Batch [2299]/[3759] Speed: 64.588442 samples/sec accuracy=54.203804 loss=1.930644 lr=0.029285 Epoch[136] Batch [2349]/[3759] Speed: 65.046127 samples/sec accuracy=54.197473 loss=1.931015 lr=0.029274 Epoch[136] Batch [2399]/[3759] Speed: 64.137300 samples/sec accuracy=54.173177 loss=1.932012 lr=0.029262 Epoch[136] 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accuracy=54.127694 loss=1.934304 lr=0.029144 Epoch[136] Batch [2949]/[3759] Speed: 65.084359 samples/sec accuracy=54.119703 loss=1.934460 lr=0.029132 Epoch[136] Batch [2999]/[3759] Speed: 65.065615 samples/sec accuracy=54.126562 loss=1.934029 lr=0.029120 Epoch[136] Batch [3049]/[3759] Speed: 64.116187 samples/sec accuracy=54.115266 loss=1.934612 lr=0.029108 Epoch[136] Batch [3099]/[3759] Speed: 64.877044 samples/sec accuracy=54.112903 loss=1.934472 lr=0.029097 Epoch[136] Batch [3149]/[3759] Speed: 64.922113 samples/sec accuracy=54.134425 loss=1.933790 lr=0.029085 Epoch[136] Batch [3199]/[3759] Speed: 64.590317 samples/sec accuracy=54.138672 loss=1.933529 lr=0.029073 Epoch[136] Batch [3249]/[3759] Speed: 64.363674 samples/sec accuracy=54.152404 loss=1.932772 lr=0.029061 Epoch[136] Batch [3299]/[3759] Speed: 64.719530 samples/sec accuracy=54.147254 loss=1.933222 lr=0.029049 Epoch[136] Batch [3349]/[3759] Speed: 64.767885 samples/sec accuracy=54.145056 loss=1.933583 lr=0.029038 Epoch[136] Batch [3399]/[3759] Speed: 64.782321 samples/sec accuracy=54.143842 loss=1.932909 lr=0.029026 Epoch[136] Batch [3449]/[3759] Speed: 63.776396 samples/sec accuracy=54.138587 loss=1.933084 lr=0.029014 Epoch[136] Batch [3499]/[3759] Speed: 65.678449 samples/sec accuracy=54.112500 loss=1.934133 lr=0.029002 Epoch[136] Batch [3549]/[3759] Speed: 64.948043 samples/sec accuracy=54.126320 loss=1.933652 lr=0.028991 Epoch[136] Batch [3599]/[3759] Speed: 64.972835 samples/sec accuracy=54.127604 loss=1.933040 lr=0.028979 Epoch[136] Batch [3649]/[3759] Speed: 64.797149 samples/sec accuracy=54.103596 loss=1.933957 lr=0.028967 Epoch[136] Batch [3699]/[3759] Speed: 65.014052 samples/sec accuracy=54.105152 loss=1.934242 lr=0.028955 Epoch[136] Batch [3749]/[3759] Speed: 67.880682 samples/sec accuracy=54.100000 loss=1.934676 lr=0.028944 Batch [0049]/[0303]: acc-top1=52.687500 acc-top5=77.656250 Batch [0099]/[0303]: acc-top1=53.375000 acc-top5=78.296875 Batch [0149]/[0303]: acc-top1=53.125000 acc-top5=78.333333 Batch [0199]/[0303]: acc-top1=53.187500 acc-top5=78.414062 Batch [0249]/[0303]: acc-top1=53.537500 acc-top5=78.662500 Batch [0299]/[0303]: acc-top1=53.838542 acc-top5=78.750000 [Epoch 136] training: accuracy=54.098497 loss=1.934759 [Epoch 136] speed: 64 samples/sec time cost: 4014.121712 [Epoch 136] validation: acc-top1=53.872731 acc-top5=78.748969 loss=2.119847 Epoch[137] Batch [0049]/[3760] Speed: 42.742497 samples/sec accuracy=55.406250 loss=1.910125 lr=0.028930 Epoch[137] Batch [0099]/[3760] Speed: 63.325725 samples/sec accuracy=55.031250 loss=1.897855 lr=0.028918 Epoch[137] Batch [0149]/[3760] Speed: 64.111564 samples/sec accuracy=54.802083 loss=1.893971 lr=0.028906 Epoch[137] Batch [0199]/[3760] Speed: 63.623058 samples/sec accuracy=55.078125 loss=1.879994 lr=0.028894 Epoch[137] Batch [0249]/[3760] Speed: 65.283728 samples/sec accuracy=55.006250 loss=1.886250 lr=0.028883 Epoch[137] Batch [0299]/[3760] Speed: 64.259476 samples/sec accuracy=55.130208 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accuracy=54.762784 loss=1.902442 lr=0.028425 Epoch[137] Batch [2249]/[3760] Speed: 64.840652 samples/sec accuracy=54.757639 loss=1.902377 lr=0.028413 Epoch[137] Batch [2299]/[3760] Speed: 64.981479 samples/sec accuracy=54.775815 loss=1.901935 lr=0.028402 Epoch[137] Batch [2349]/[3760] Speed: 64.470678 samples/sec accuracy=54.749335 loss=1.902402 lr=0.028390 Epoch[137] Batch [2399]/[3760] Speed: 64.738494 samples/sec accuracy=54.746094 loss=1.903078 lr=0.028378 Epoch[137] Batch [2449]/[3760] Speed: 65.204557 samples/sec accuracy=54.775510 loss=1.903006 lr=0.028367 Epoch[137] Batch [2499]/[3760] Speed: 64.798925 samples/sec accuracy=54.756250 loss=1.903371 lr=0.028355 Epoch[137] Batch [2549]/[3760] Speed: 64.048422 samples/sec accuracy=54.750613 loss=1.903707 lr=0.028343 Epoch[137] Batch [2599]/[3760] Speed: 65.223222 samples/sec accuracy=54.718149 loss=1.904728 lr=0.028332 Epoch[137] Batch [2649]/[3760] Speed: 64.587016 samples/sec accuracy=54.694575 loss=1.905402 lr=0.028320 Epoch[137] 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accuracy=54.627480 loss=1.907943 lr=0.028203 Epoch[137] Batch [3199]/[3760] Speed: 64.216895 samples/sec accuracy=54.603516 loss=1.908685 lr=0.028191 Epoch[137] Batch [3249]/[3760] Speed: 65.019663 samples/sec accuracy=54.598558 loss=1.909341 lr=0.028180 Epoch[137] Batch [3299]/[3760] Speed: 65.187119 samples/sec accuracy=54.578598 loss=1.909460 lr=0.028168 Epoch[137] Batch [3349]/[3760] Speed: 65.109449 samples/sec accuracy=54.567631 loss=1.910500 lr=0.028156 Epoch[137] Batch [3399]/[3760] Speed: 64.600512 samples/sec accuracy=54.558824 loss=1.910957 lr=0.028145 Epoch[137] Batch [3449]/[3760] Speed: 64.481821 samples/sec accuracy=54.534420 loss=1.911477 lr=0.028133 Epoch[137] Batch [3499]/[3760] Speed: 64.790245 samples/sec accuracy=54.512946 loss=1.912418 lr=0.028121 Epoch[137] Batch [3549]/[3760] Speed: 64.989539 samples/sec accuracy=54.506162 loss=1.912292 lr=0.028110 Epoch[137] Batch [3599]/[3760] Speed: 64.735601 samples/sec accuracy=54.516059 loss=1.912636 lr=0.028098 Epoch[137] Batch [3649]/[3760] Speed: 64.202274 samples/sec accuracy=54.504709 loss=1.913579 lr=0.028087 Epoch[137] Batch [3699]/[3760] Speed: 65.156257 samples/sec accuracy=54.471706 loss=1.914975 lr=0.028075 Epoch[137] Batch [3749]/[3760] Speed: 68.064326 samples/sec accuracy=54.461250 loss=1.916248 lr=0.028063 Batch [0049]/[0303]: acc-top1=53.031250 acc-top5=78.031250 Batch [0099]/[0303]: acc-top1=53.359375 acc-top5=78.359375 Batch [0149]/[0303]: acc-top1=53.916667 acc-top5=78.302083 Batch [0199]/[0303]: acc-top1=54.093750 acc-top5=78.351562 Batch [0249]/[0303]: acc-top1=54.237500 acc-top5=78.762500 Batch [0299]/[0303]: acc-top1=54.104167 acc-top5=78.666667 [Epoch 137] training: accuracy=54.453125 loss=1.916525 [Epoch 137] speed: 64 samples/sec time cost: 4010.972101 [Epoch 137] validation: acc-top1=54.104785 acc-top5=78.650990 loss=2.099472 Epoch[138] Batch [0049]/[3760] Speed: 43.756457 samples/sec accuracy=55.062500 loss=1.857245 lr=0.028049 Epoch[138] Batch [0099]/[3760] Speed: 62.108661 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lr=0.027492 Epoch[138] Batch [2499]/[3760] Speed: 64.664430 samples/sec accuracy=54.815625 loss=1.896588 lr=0.027480 Epoch[138] Batch [2549]/[3760] Speed: 65.320314 samples/sec accuracy=54.829044 loss=1.896049 lr=0.027469 Epoch[138] Batch [2599]/[3760] Speed: 64.847287 samples/sec accuracy=54.810697 loss=1.896572 lr=0.027457 Epoch[138] Batch [2649]/[3760] Speed: 64.032499 samples/sec accuracy=54.795991 loss=1.897073 lr=0.027446 Epoch[138] Batch [2699]/[3760] Speed: 65.025657 samples/sec accuracy=54.756944 loss=1.898564 lr=0.027434 Epoch[138] Batch [2749]/[3760] Speed: 64.802878 samples/sec accuracy=54.760795 loss=1.898173 lr=0.027423 Epoch[138] Batch [2799]/[3760] Speed: 65.204766 samples/sec accuracy=54.786830 loss=1.897601 lr=0.027411 Epoch[138] Batch [2849]/[3760] Speed: 64.900617 samples/sec accuracy=54.776864 loss=1.897812 lr=0.027399 Epoch[138] Batch [2899]/[3760] Speed: 64.157735 samples/sec accuracy=54.775862 loss=1.898019 lr=0.027388 Epoch[138] Batch [2949]/[3760] Speed: 64.762450 samples/sec accuracy=54.775424 loss=1.898364 lr=0.027376 Epoch[138] Batch [2999]/[3760] Speed: 64.584725 samples/sec accuracy=54.763542 loss=1.898816 lr=0.027365 Epoch[138] Batch [3049]/[3760] Speed: 64.848529 samples/sec accuracy=54.749488 loss=1.898758 lr=0.027353 Epoch[138] Batch [3099]/[3760] Speed: 63.261059 samples/sec accuracy=54.739415 loss=1.899518 lr=0.027342 Epoch[138] Batch [3149]/[3760] Speed: 65.674315 samples/sec accuracy=54.720734 loss=1.900187 lr=0.027330 Epoch[138] Batch [3199]/[3760] Speed: 64.938316 samples/sec accuracy=54.697266 loss=1.901220 lr=0.027319 Epoch[138] Batch [3249]/[3760] Speed: 65.154804 samples/sec accuracy=54.701923 loss=1.901843 lr=0.027307 Epoch[138] Batch [3299]/[3760] Speed: 65.146923 samples/sec accuracy=54.701231 loss=1.901897 lr=0.027296 Epoch[138] Batch [3349]/[3760] Speed: 64.070993 samples/sec accuracy=54.672108 loss=1.902736 lr=0.027284 Epoch[138] Batch [3399]/[3760] Speed: 64.930418 samples/sec accuracy=54.672794 loss=1.903328 lr=0.027272 Epoch[138] Batch [3449]/[3760] Speed: 64.707578 samples/sec accuracy=54.689764 loss=1.902784 lr=0.027261 Epoch[138] Batch [3499]/[3760] Speed: 65.135900 samples/sec accuracy=54.683929 loss=1.902757 lr=0.027249 Epoch[138] Batch [3549]/[3760] Speed: 64.988997 samples/sec accuracy=54.684419 loss=1.903524 lr=0.027238 Epoch[138] Batch [3599]/[3760] Speed: 64.048280 samples/sec accuracy=54.677517 loss=1.903298 lr=0.027226 Epoch[138] Batch [3649]/[3760] Speed: 64.740044 samples/sec accuracy=54.669521 loss=1.904280 lr=0.027215 Epoch[138] Batch [3699]/[3760] Speed: 64.884393 samples/sec accuracy=54.665963 loss=1.904298 lr=0.027203 Epoch[138] Batch [3749]/[3760] Speed: 67.719519 samples/sec accuracy=54.683750 loss=1.903642 lr=0.027192 Batch [0049]/[0303]: acc-top1=53.406250 acc-top5=78.656250 Batch [0099]/[0303]: acc-top1=53.390625 acc-top5=78.453125 Batch [0149]/[0303]: acc-top1=53.177083 acc-top5=78.427083 Batch [0199]/[0303]: acc-top1=53.210938 acc-top5=78.390625 Batch [0249]/[0303]: acc-top1=53.643750 acc-top5=78.650000 Batch [0299]/[0303]: acc-top1=53.802083 acc-top5=78.734375 [Epoch 138] training: accuracy=54.682513 loss=1.903606 [Epoch 138] speed: 64 samples/sec time cost: 4014.283181 [Epoch 138] validation: acc-top1=53.805693 acc-top5=78.748969 loss=2.192740 Epoch[139] Batch [0049]/[3759] Speed: 43.214854 samples/sec accuracy=55.593750 loss=1.852749 lr=0.027178 Epoch[139] Batch [0099]/[3759] Speed: 62.722465 samples/sec accuracy=55.875000 loss=1.835565 lr=0.027166 Epoch[139] Batch [0149]/[3759] Speed: 64.637322 samples/sec accuracy=55.302083 loss=1.856328 lr=0.027155 Epoch[139] Batch [0199]/[3759] Speed: 63.891126 samples/sec accuracy=55.117188 loss=1.852565 lr=0.027143 Epoch[139] Batch [0249]/[3759] Speed: 64.006287 samples/sec accuracy=55.181250 loss=1.853679 lr=0.027132 Epoch[139] Batch [0299]/[3759] Speed: 64.557946 samples/sec accuracy=55.250000 loss=1.848423 lr=0.027120 Epoch[139] Batch [0349]/[3759] Speed: 65.621416 samples/sec 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Batch [3699]/[3759] Speed: 64.341352 samples/sec accuracy=54.991554 loss=1.887579 lr=0.026341 Epoch[139] Batch [3749]/[3759] Speed: 68.497144 samples/sec accuracy=54.978333 loss=1.888477 lr=0.026329 Batch [0049]/[0303]: acc-top1=53.968750 acc-top5=78.437500 Batch [0099]/[0303]: acc-top1=53.812500 acc-top5=78.921875 Batch [0149]/[0303]: acc-top1=54.000000 acc-top5=78.708333 Batch [0199]/[0303]: acc-top1=54.132813 acc-top5=78.937500 Batch [0249]/[0303]: acc-top1=54.275000 acc-top5=79.037500 Batch [0299]/[0303]: acc-top1=54.489583 acc-top5=79.057292 [Epoch 139] training: accuracy=54.969324 loss=1.888892 [Epoch 139] speed: 64 samples/sec time cost: 4012.086899 [Epoch 139] validation: acc-top1=54.522483 acc-top5=79.048061 loss=2.103800 Epoch[140] Batch [0049]/[3760] Speed: 42.420700 samples/sec accuracy=56.093750 loss=1.841148 lr=0.026316 Epoch[140] Batch [0099]/[3760] Speed: 63.356928 samples/sec accuracy=56.343750 loss=1.844475 lr=0.026305 Epoch[140] Batch [0149]/[3760] Speed: 64.765893 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lr=0.025759 Epoch[140] Batch [2549]/[3760] Speed: 65.009286 samples/sec accuracy=55.476716 loss=1.871080 lr=0.025748 Epoch[140] Batch [2599]/[3760] Speed: 64.757858 samples/sec accuracy=55.453726 loss=1.871966 lr=0.025737 Epoch[140] Batch [2649]/[3760] Speed: 64.230856 samples/sec accuracy=55.433373 loss=1.873260 lr=0.025725 Epoch[140] Batch [2699]/[3760] Speed: 65.023981 samples/sec accuracy=55.415509 loss=1.873743 lr=0.025714 Epoch[140] Batch [2749]/[3760] Speed: 64.873566 samples/sec accuracy=55.426136 loss=1.873799 lr=0.025703 Epoch[140] Batch [2799]/[3760] Speed: 64.608809 samples/sec accuracy=55.428013 loss=1.873587 lr=0.025691 Epoch[140] Batch [2849]/[3760] Speed: 63.590014 samples/sec accuracy=55.445175 loss=1.872677 lr=0.025680 Epoch[140] Batch [2899]/[3760] Speed: 65.592786 samples/sec accuracy=55.407866 loss=1.874319 lr=0.025669 Epoch[140] Batch [2949]/[3760] Speed: 64.967218 samples/sec accuracy=55.396716 loss=1.874045 lr=0.025658 Epoch[140] Batch [2999]/[3760] Speed: 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lr=0.025545 Epoch[140] Batch [3499]/[3760] Speed: 64.405223 samples/sec accuracy=55.405804 loss=1.875111 lr=0.025533 Epoch[140] Batch [3549]/[3760] Speed: 63.834258 samples/sec accuracy=55.393486 loss=1.876103 lr=0.025522 Epoch[140] Batch [3599]/[3760] Speed: 65.703075 samples/sec accuracy=55.392795 loss=1.876294 lr=0.025511 Epoch[140] Batch [3649]/[3760] Speed: 64.848204 samples/sec accuracy=55.402825 loss=1.876140 lr=0.025500 Epoch[140] Batch [3699]/[3760] Speed: 64.739625 samples/sec accuracy=55.393581 loss=1.876597 lr=0.025488 Epoch[140] Batch [3749]/[3760] Speed: 68.580841 samples/sec accuracy=55.384583 loss=1.876865 lr=0.025477 Batch [0049]/[0303]: acc-top1=55.000000 acc-top5=78.406250 Batch [0099]/[0303]: acc-top1=54.875000 acc-top5=78.890625 Batch [0149]/[0303]: acc-top1=54.760417 acc-top5=78.791667 Batch [0199]/[0303]: acc-top1=55.054688 acc-top5=79.046875 Batch [0249]/[0303]: acc-top1=55.387500 acc-top5=79.356250 Batch [0299]/[0303]: acc-top1=55.437500 acc-top5=79.541667 [Epoch 140] training: accuracy=55.388547 loss=1.876878 [Epoch 140] speed: 64 samples/sec time cost: 4015.035134 [Epoch 140] validation: acc-top1=55.461015 acc-top5=79.537954 loss=2.033409 Epoch[141] Batch [0049]/[3760] Speed: 42.258628 samples/sec accuracy=56.031250 loss=1.829768 lr=0.025463 Epoch[141] Batch [0099]/[3760] Speed: 62.751544 samples/sec accuracy=56.515625 loss=1.820327 lr=0.025452 Epoch[141] Batch [0149]/[3760] Speed: 64.067917 samples/sec accuracy=56.812500 loss=1.811030 lr=0.025441 Epoch[141] Batch [0199]/[3760] Speed: 64.367249 samples/sec accuracy=56.609375 loss=1.816206 lr=0.025430 Epoch[141] Batch [0249]/[3760] Speed: 63.930520 samples/sec accuracy=56.512500 loss=1.825292 lr=0.025418 Epoch[141] Batch [0299]/[3760] Speed: 65.243870 samples/sec accuracy=56.312500 loss=1.832644 lr=0.025407 Epoch[141] Batch [0349]/[3760] Speed: 65.372591 samples/sec accuracy=56.093750 loss=1.834134 lr=0.025396 Epoch[141] Batch [0399]/[3760] Speed: 65.205531 samples/sec accuracy=56.093750 loss=1.839857 lr=0.025385 Epoch[141] Batch [0449]/[3760] Speed: 65.453590 samples/sec accuracy=55.913194 loss=1.846834 lr=0.025373 Epoch[141] Batch [0499]/[3760] Speed: 64.413831 samples/sec accuracy=55.925000 loss=1.848566 lr=0.025362 Epoch[141] Batch [0549]/[3760] Speed: 65.010121 samples/sec accuracy=55.886364 loss=1.849132 lr=0.025351 Epoch[141] Batch [0599]/[3760] Speed: 65.151407 samples/sec accuracy=55.726562 loss=1.852531 lr=0.025340 Epoch[141] Batch [0649]/[3760] Speed: 64.701740 samples/sec accuracy=55.795673 loss=1.849450 lr=0.025328 Epoch[141] Batch [0699]/[3760] Speed: 64.406737 samples/sec accuracy=55.796875 loss=1.853054 lr=0.025317 Epoch[141] Batch [0749]/[3760] Speed: 65.688578 samples/sec accuracy=55.864583 loss=1.851902 lr=0.025306 Epoch[141] Batch [0799]/[3760] Speed: 65.133945 samples/sec accuracy=55.908203 loss=1.851734 lr=0.025295 Epoch[141] Batch [0849]/[3760] Speed: 65.082772 samples/sec accuracy=56.007353 loss=1.847566 lr=0.025283 Epoch[141] 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accuracy=55.962963 loss=1.850288 lr=0.025171 Epoch[141] Batch [1399]/[3760] Speed: 64.886558 samples/sec accuracy=55.909598 loss=1.852224 lr=0.025160 Epoch[141] Batch [1449]/[3760] Speed: 65.179445 samples/sec accuracy=55.903017 loss=1.851495 lr=0.025149 Epoch[141] Batch [1499]/[3760] Speed: 65.375138 samples/sec accuracy=55.921875 loss=1.851719 lr=0.025137 Epoch[141] Batch [1549]/[3760] Speed: 64.995144 samples/sec accuracy=55.940524 loss=1.850105 lr=0.025126 Epoch[141] Batch [1599]/[3760] Speed: 64.022041 samples/sec accuracy=55.949219 loss=1.849883 lr=0.025115 Epoch[141] Batch [1649]/[3760] Speed: 65.834134 samples/sec accuracy=55.957386 loss=1.848846 lr=0.025104 Epoch[141] Batch [1699]/[3760] Speed: 65.098007 samples/sec accuracy=55.901654 loss=1.851597 lr=0.025092 Epoch[141] Batch [1749]/[3760] Speed: 65.469830 samples/sec accuracy=55.873214 loss=1.853351 lr=0.025081 Epoch[141] Batch [1799]/[3760] Speed: 65.012138 samples/sec accuracy=55.875000 loss=1.853376 lr=0.025070 Epoch[141] 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accuracy=55.733016 loss=1.855588 lr=0.024958 Epoch[141] Batch [2349]/[3760] Speed: 65.576174 samples/sec accuracy=55.734043 loss=1.855326 lr=0.024947 Epoch[141] Batch [2399]/[3760] Speed: 65.594551 samples/sec accuracy=55.745443 loss=1.855112 lr=0.024936 Epoch[141] Batch [2449]/[3760] Speed: 65.122484 samples/sec accuracy=55.753189 loss=1.855289 lr=0.024924 Epoch[141] Batch [2499]/[3760] Speed: 64.493584 samples/sec accuracy=55.773125 loss=1.854877 lr=0.024913 Epoch[141] Batch [2549]/[3760] Speed: 65.467362 samples/sec accuracy=55.776348 loss=1.854609 lr=0.024902 Epoch[141] Batch [2599]/[3760] Speed: 65.382316 samples/sec accuracy=55.772236 loss=1.854421 lr=0.024891 Epoch[141] Batch [2649]/[3760] Speed: 65.160813 samples/sec accuracy=55.713443 loss=1.856409 lr=0.024880 Epoch[141] Batch [2699]/[3760] Speed: 65.471143 samples/sec accuracy=55.696759 loss=1.857530 lr=0.024868 Epoch[141] Batch [2749]/[3760] Speed: 64.709516 samples/sec accuracy=55.660795 loss=1.858868 lr=0.024857 Epoch[141] 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accuracy=55.673558 loss=1.860056 lr=0.024746 Epoch[141] Batch [3299]/[3760] Speed: 65.585767 samples/sec accuracy=55.638258 loss=1.861081 lr=0.024734 Epoch[141] Batch [3349]/[3760] Speed: 65.643863 samples/sec accuracy=55.621735 loss=1.861494 lr=0.024723 Epoch[141] Batch [3399]/[3760] Speed: 64.191910 samples/sec accuracy=55.633272 loss=1.860944 lr=0.024712 Epoch[141] Batch [3449]/[3760] Speed: 65.542858 samples/sec accuracy=55.596920 loss=1.862239 lr=0.024701 Epoch[141] Batch [3499]/[3760] Speed: 65.256094 samples/sec accuracy=55.609375 loss=1.861883 lr=0.024690 Epoch[141] Batch [3549]/[3760] Speed: 65.636324 samples/sec accuracy=55.617518 loss=1.861791 lr=0.024679 Epoch[141] Batch [3599]/[3760] Speed: 64.676550 samples/sec accuracy=55.621962 loss=1.861311 lr=0.024668 Epoch[141] Batch [3649]/[3760] Speed: 65.231672 samples/sec accuracy=55.639983 loss=1.861392 lr=0.024656 Epoch[141] Batch [3699]/[3760] Speed: 65.047204 samples/sec accuracy=55.630912 loss=1.861606 lr=0.024645 Epoch[141] Batch [3749]/[3760] Speed: 68.356040 samples/sec accuracy=55.600417 loss=1.862073 lr=0.024634 Batch [0049]/[0303]: acc-top1=54.656250 acc-top5=79.375000 Batch [0099]/[0303]: acc-top1=54.484375 acc-top5=79.578125 Batch [0149]/[0303]: acc-top1=54.531250 acc-top5=79.614583 Batch [0199]/[0303]: acc-top1=54.531250 acc-top5=79.546875 Batch [0249]/[0303]: acc-top1=54.600000 acc-top5=79.775000 Batch [0299]/[0303]: acc-top1=54.692708 acc-top5=79.697917 [Epoch 141] training: accuracy=55.606300 loss=1.862074 [Epoch 141] speed: 64 samples/sec time cost: 3995.635977 [Epoch 141] validation: acc-top1=54.708127 acc-top5=79.713284 loss=2.110256 Epoch[142] Batch [0049]/[3759] Speed: 43.844597 samples/sec accuracy=56.937500 loss=1.771134 lr=0.024621 Epoch[142] Batch [0099]/[3759] Speed: 63.139948 samples/sec accuracy=57.109375 loss=1.781345 lr=0.024610 Epoch[142] Batch [0149]/[3759] Speed: 64.483836 samples/sec accuracy=57.031250 loss=1.791408 lr=0.024598 Epoch[142] Batch [0199]/[3759] Speed: 64.216138 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lr=0.024066 Epoch[142] Batch [2599]/[3759] Speed: 65.005870 samples/sec accuracy=56.180889 loss=1.837163 lr=0.024055 Epoch[142] Batch [2649]/[3759] Speed: 65.329216 samples/sec accuracy=56.187500 loss=1.837126 lr=0.024044 Epoch[142] Batch [2699]/[3759] Speed: 65.234108 samples/sec accuracy=56.188079 loss=1.836683 lr=0.024033 Epoch[142] Batch [2749]/[3759] Speed: 65.249290 samples/sec accuracy=56.203409 loss=1.836581 lr=0.024022 Epoch[142] Batch [2799]/[3759] Speed: 65.318565 samples/sec accuracy=56.189174 loss=1.837049 lr=0.024011 Epoch[142] Batch [2849]/[3759] Speed: 64.874464 samples/sec accuracy=56.177632 loss=1.837570 lr=0.024000 Epoch[142] Batch [2899]/[3759] Speed: 65.580177 samples/sec accuracy=56.165948 loss=1.838535 lr=0.023989 Epoch[142] Batch [2949]/[3759] Speed: 65.038768 samples/sec accuracy=56.130297 loss=1.839976 lr=0.023978 Epoch[142] Batch [2999]/[3759] Speed: 65.496452 samples/sec accuracy=56.114583 loss=1.840313 lr=0.023967 Epoch[142] Batch [3049]/[3759] Speed: 64.487832 samples/sec accuracy=56.121926 loss=1.839864 lr=0.023956 Epoch[142] Batch [3099]/[3759] Speed: 65.089334 samples/sec accuracy=56.112903 loss=1.840398 lr=0.023945 Epoch[142] Batch [3149]/[3759] Speed: 65.274830 samples/sec accuracy=56.107143 loss=1.841119 lr=0.023934 Epoch[142] Batch [3199]/[3759] Speed: 65.064490 samples/sec accuracy=56.129395 loss=1.840346 lr=0.023923 Epoch[142] Batch [3249]/[3759] Speed: 65.562340 samples/sec accuracy=56.134135 loss=1.840379 lr=0.023912 Epoch[142] Batch [3299]/[3759] Speed: 64.352960 samples/sec accuracy=56.139205 loss=1.840264 lr=0.023901 Epoch[142] Batch [3349]/[3759] Speed: 64.888830 samples/sec accuracy=56.120336 loss=1.841199 lr=0.023890 Epoch[142] Batch [3399]/[3759] Speed: 65.798041 samples/sec accuracy=56.119485 loss=1.841605 lr=0.023879 Epoch[142] Batch [3449]/[3759] Speed: 65.066293 samples/sec accuracy=56.111413 loss=1.841966 lr=0.023867 Epoch[142] Batch [3499]/[3759] Speed: 64.882202 samples/sec accuracy=56.100000 loss=1.842562 lr=0.023856 Epoch[142] Batch [3549]/[3759] Speed: 65.145687 samples/sec accuracy=56.080546 loss=1.842844 lr=0.023845 Epoch[142] Batch [3599]/[3759] Speed: 65.103013 samples/sec accuracy=56.064670 loss=1.843203 lr=0.023834 Epoch[142] Batch [3649]/[3759] Speed: 65.177549 samples/sec accuracy=56.059932 loss=1.843778 lr=0.023823 Epoch[142] Batch [3699]/[3759] Speed: 65.293935 samples/sec accuracy=56.068412 loss=1.842870 lr=0.023812 Epoch[142] Batch [3749]/[3759] Speed: 67.871020 samples/sec accuracy=56.051667 loss=1.843889 lr=0.023801 Batch [0049]/[0303]: acc-top1=55.437500 acc-top5=78.718750 Batch [0099]/[0303]: acc-top1=55.906250 acc-top5=79.625000 Batch [0149]/[0303]: acc-top1=55.968750 acc-top5=79.739583 Batch [0199]/[0303]: acc-top1=55.945312 acc-top5=79.656250 Batch [0249]/[0303]: acc-top1=56.300000 acc-top5=79.937500 Batch [0299]/[0303]: acc-top1=56.291667 acc-top5=79.906250 [Epoch 142] training: accuracy=56.051310 loss=1.843849 [Epoch 142] speed: 64 samples/sec time cost: 3990.721058 [Epoch 142] validation: acc-top1=56.275784 acc-top5=79.883457 loss=2.060138 Epoch[143] Batch [0049]/[3760] Speed: 43.003149 samples/sec accuracy=58.062500 loss=1.758955 lr=0.023788 Epoch[143] Batch [0099]/[3760] Speed: 62.919891 samples/sec accuracy=57.828125 loss=1.768276 lr=0.023777 Epoch[143] Batch [0149]/[3760] Speed: 64.514453 samples/sec accuracy=57.479167 loss=1.786270 lr=0.023766 Epoch[143] Batch [0199]/[3760] Speed: 63.538750 samples/sec accuracy=57.679688 loss=1.780145 lr=0.023755 Epoch[143] Batch [0249]/[3760] Speed: 65.551439 samples/sec accuracy=57.618750 loss=1.777472 lr=0.023744 Epoch[143] Batch [0299]/[3760] Speed: 64.453143 samples/sec accuracy=57.369792 loss=1.782508 lr=0.023733 Epoch[143] Batch [0349]/[3760] Speed: 65.062644 samples/sec accuracy=57.160714 loss=1.792535 lr=0.023722 Epoch[143] Batch [0399]/[3760] Speed: 64.371800 samples/sec accuracy=57.019531 loss=1.800626 lr=0.023711 Epoch[143] Batch [0449]/[3760] Speed: 64.535051 samples/sec accuracy=57.100694 loss=1.799453 lr=0.023700 Epoch[143] Batch [0499]/[3760] Speed: 64.386414 samples/sec accuracy=57.034375 loss=1.803156 lr=0.023689 Epoch[143] Batch [0549]/[3760] Speed: 65.421926 samples/sec accuracy=57.022727 loss=1.803491 lr=0.023679 Epoch[143] Batch [0599]/[3760] Speed: 64.475197 samples/sec accuracy=56.945312 loss=1.806264 lr=0.023668 Epoch[143] Batch [0649]/[3760] Speed: 65.441384 samples/sec accuracy=57.009615 loss=1.803143 lr=0.023657 Epoch[143] Batch [0699]/[3760] Speed: 64.204827 samples/sec accuracy=56.870536 loss=1.808095 lr=0.023646 Epoch[143] Batch [0749]/[3760] Speed: 65.171454 samples/sec accuracy=56.860417 loss=1.808178 lr=0.023635 Epoch[143] Batch [0799]/[3760] Speed: 65.193127 samples/sec accuracy=56.783203 loss=1.809684 lr=0.023624 Epoch[143] Batch [0849]/[3760] Speed: 64.844641 samples/sec accuracy=56.786765 loss=1.808208 lr=0.023613 Epoch[143] Batch [0899]/[3760] Speed: 64.207695 samples/sec accuracy=56.671875 loss=1.811088 lr=0.023602 Epoch[143] 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accuracy=56.406723 loss=1.826125 lr=0.023077 Epoch[143] Batch [3349]/[3760] Speed: 65.560125 samples/sec accuracy=56.405784 loss=1.826146 lr=0.023066 Epoch[143] Batch [3399]/[3760] Speed: 65.376487 samples/sec accuracy=56.392004 loss=1.826218 lr=0.023055 Epoch[143] Batch [3449]/[3760] Speed: 65.176426 samples/sec accuracy=56.374094 loss=1.827177 lr=0.023045 Epoch[143] Batch [3499]/[3760] Speed: 65.180133 samples/sec accuracy=56.358929 loss=1.827653 lr=0.023034 Epoch[143] Batch [3549]/[3760] Speed: 64.125588 samples/sec accuracy=56.357835 loss=1.827764 lr=0.023023 Epoch[143] Batch [3599]/[3760] Speed: 65.364558 samples/sec accuracy=56.331163 loss=1.828551 lr=0.023012 Epoch[143] Batch [3649]/[3760] Speed: 65.205490 samples/sec accuracy=56.335616 loss=1.828430 lr=0.023001 Epoch[143] Batch [3699]/[3760] Speed: 64.932983 samples/sec accuracy=56.335726 loss=1.828972 lr=0.022990 Epoch[143] Batch [3749]/[3760] Speed: 68.612455 samples/sec accuracy=56.350000 loss=1.828746 lr=0.022979 Batch [0049]/[0303]: acc-top1=54.593750 acc-top5=79.250000 Batch [0099]/[0303]: acc-top1=55.359375 acc-top5=79.640625 Batch [0149]/[0303]: acc-top1=55.343750 acc-top5=79.677083 Batch [0199]/[0303]: acc-top1=55.343750 acc-top5=79.781250 Batch [0249]/[0303]: acc-top1=55.543750 acc-top5=79.918750 Batch [0299]/[0303]: acc-top1=55.661458 acc-top5=79.911458 [Epoch 143] training: accuracy=56.351812 loss=1.828610 [Epoch 143] speed: 64 samples/sec time cost: 3995.813039 [Epoch 143] validation: acc-top1=55.672442 acc-top5=79.919554 loss=2.134165 Epoch[144] Batch [0049]/[3760] Speed: 42.543890 samples/sec accuracy=56.375000 loss=1.812713 lr=0.022966 Epoch[144] Batch [0099]/[3760] Speed: 63.598200 samples/sec accuracy=57.078125 loss=1.795656 lr=0.022955 Epoch[144] Batch [0149]/[3760] Speed: 64.522191 samples/sec accuracy=56.687500 loss=1.809860 lr=0.022945 Epoch[144] Batch [0199]/[3760] Speed: 63.846612 samples/sec accuracy=56.695312 loss=1.810301 lr=0.022934 Epoch[144] Batch [0249]/[3760] Speed: 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lr=0.022211 Epoch[144] Batch [3599]/[3760] Speed: 64.925340 samples/sec accuracy=56.554688 loss=1.815050 lr=0.022200 Epoch[144] Batch [3649]/[3760] Speed: 64.918330 samples/sec accuracy=56.555651 loss=1.814979 lr=0.022189 Epoch[144] Batch [3699]/[3760] Speed: 64.739330 samples/sec accuracy=56.535473 loss=1.815623 lr=0.022178 Epoch[144] Batch [3749]/[3760] Speed: 68.412195 samples/sec accuracy=56.532083 loss=1.816013 lr=0.022168 Batch [0049]/[0303]: acc-top1=55.937500 acc-top5=79.343750 Batch [0099]/[0303]: acc-top1=55.671875 acc-top5=79.343750 Batch [0149]/[0303]: acc-top1=55.177083 acc-top5=79.343750 Batch [0199]/[0303]: acc-top1=55.468750 acc-top5=79.390625 Batch [0249]/[0303]: acc-top1=55.750000 acc-top5=79.637500 Batch [0299]/[0303]: acc-top1=55.734375 acc-top5=79.776042 [Epoch 144] training: accuracy=56.533411 loss=1.815992 [Epoch 144] speed: 64 samples/sec time cost: 4002.192447 [Epoch 144] validation: acc-top1=55.718853 acc-top5=79.795792 loss=2.056082 Epoch[145] Batch 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accuracy=57.125000 loss=1.789164 lr=0.021653 Epoch[145] Batch [2449]/[3759] Speed: 65.215893 samples/sec accuracy=57.153699 loss=1.788389 lr=0.021643 Epoch[145] Batch [2499]/[3759] Speed: 63.690835 samples/sec accuracy=57.153750 loss=1.788201 lr=0.021632 Epoch[145] Batch [2549]/[3759] Speed: 65.494945 samples/sec accuracy=57.154412 loss=1.788748 lr=0.021621 Epoch[145] Batch [2599]/[3759] Speed: 65.122624 samples/sec accuracy=57.137019 loss=1.788850 lr=0.021611 Epoch[145] Batch [2649]/[3759] Speed: 65.311260 samples/sec accuracy=57.123231 loss=1.789493 lr=0.021600 Epoch[145] Batch [2699]/[3759] Speed: 63.978759 samples/sec accuracy=57.123264 loss=1.789785 lr=0.021590 Epoch[145] Batch [2749]/[3759] Speed: 65.661627 samples/sec accuracy=57.137500 loss=1.788984 lr=0.021579 Epoch[145] Batch [2799]/[3759] Speed: 65.237677 samples/sec accuracy=57.115513 loss=1.789870 lr=0.021568 Epoch[145] Batch [2849]/[3759] Speed: 65.052530 samples/sec accuracy=57.092654 loss=1.790300 lr=0.021558 Epoch[145] 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accuracy=57.046642 loss=1.794188 lr=0.021452 Epoch[145] Batch [3399]/[3759] Speed: 64.376329 samples/sec accuracy=57.045496 loss=1.795112 lr=0.021441 Epoch[145] Batch [3449]/[3759] Speed: 65.230537 samples/sec accuracy=57.038043 loss=1.795397 lr=0.021431 Epoch[145] Batch [3499]/[3759] Speed: 65.368507 samples/sec accuracy=57.037054 loss=1.795690 lr=0.021420 Epoch[145] Batch [3549]/[3759] Speed: 65.284196 samples/sec accuracy=57.036972 loss=1.795362 lr=0.021409 Epoch[145] Batch [3599]/[3759] Speed: 65.177980 samples/sec accuracy=57.018229 loss=1.796687 lr=0.021399 Epoch[145] Batch [3649]/[3759] Speed: 64.525727 samples/sec accuracy=57.007705 loss=1.797090 lr=0.021388 Epoch[145] Batch [3699]/[3759] Speed: 65.391149 samples/sec accuracy=57.016047 loss=1.796386 lr=0.021378 Epoch[145] Batch [3749]/[3759] Speed: 68.611000 samples/sec accuracy=57.004167 loss=1.796960 lr=0.021367 Batch [0049]/[0303]: acc-top1=54.062500 acc-top5=79.093750 Batch [0099]/[0303]: acc-top1=54.828125 acc-top5=79.203125 Batch [0149]/[0303]: acc-top1=54.531250 acc-top5=79.343750 Batch [0199]/[0303]: acc-top1=54.820312 acc-top5=79.257812 Batch [0249]/[0303]: acc-top1=55.087500 acc-top5=79.525000 Batch [0299]/[0303]: acc-top1=55.286458 acc-top5=79.583333 [Epoch 145] training: accuracy=57.005686 loss=1.796983 [Epoch 145] speed: 64 samples/sec time cost: 4000.371738 [Epoch 145] validation: acc-top1=55.295998 acc-top5=79.548267 loss=2.074864 Epoch[146] Batch [0049]/[3760] Speed: 43.535246 samples/sec accuracy=58.625000 loss=1.713679 lr=0.021355 Epoch[146] Batch [0099]/[3760] Speed: 62.331929 samples/sec accuracy=57.968750 loss=1.746515 lr=0.021344 Epoch[146] Batch [0149]/[3760] Speed: 64.911713 samples/sec accuracy=57.739583 loss=1.751245 lr=0.021333 Epoch[146] Batch [0199]/[3760] Speed: 63.246952 samples/sec accuracy=57.789062 loss=1.755612 lr=0.021323 Epoch[146] Batch [0249]/[3760] Speed: 64.742876 samples/sec accuracy=58.262500 loss=1.737682 lr=0.021312 Epoch[146] Batch [0299]/[3760] 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accuracy=57.592831 loss=1.769697 lr=0.021007 Epoch[146] Batch [1749]/[3760] Speed: 64.853190 samples/sec accuracy=57.562500 loss=1.771525 lr=0.020996 Epoch[146] Batch [1799]/[3760] Speed: 65.389669 samples/sec accuracy=57.578993 loss=1.770016 lr=0.020986 Epoch[146] Batch [1849]/[3760] Speed: 65.197933 samples/sec accuracy=57.624155 loss=1.768504 lr=0.020975 Epoch[146] Batch [1899]/[3760] Speed: 65.408633 samples/sec accuracy=57.572368 loss=1.769301 lr=0.020965 Epoch[146] Batch [1949]/[3760] Speed: 63.890484 samples/sec accuracy=57.556891 loss=1.769507 lr=0.020954 Epoch[146] Batch [1999]/[3760] Speed: 66.128253 samples/sec accuracy=57.514062 loss=1.770486 lr=0.020944 Epoch[146] Batch [2049]/[3760] Speed: 65.310045 samples/sec accuracy=57.483232 loss=1.770025 lr=0.020933 Epoch[146] Batch [2099]/[3760] Speed: 65.272770 samples/sec accuracy=57.474702 loss=1.770159 lr=0.020923 Epoch[146] Batch [2149]/[3760] Speed: 65.102196 samples/sec accuracy=57.496366 loss=1.769910 lr=0.020912 Epoch[146] 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accuracy=57.530660 loss=1.770654 lr=0.020808 Epoch[146] Batch [2699]/[3760] Speed: 65.358448 samples/sec accuracy=57.527199 loss=1.770675 lr=0.020797 Epoch[146] Batch [2749]/[3760] Speed: 65.166637 samples/sec accuracy=57.540341 loss=1.770647 lr=0.020787 Epoch[146] Batch [2799]/[3760] Speed: 65.266269 samples/sec accuracy=57.517299 loss=1.771573 lr=0.020776 Epoch[146] Batch [2849]/[3760] Speed: 64.863955 samples/sec accuracy=57.506031 loss=1.771665 lr=0.020766 Epoch[146] Batch [2899]/[3760] Speed: 64.180880 samples/sec accuracy=57.489763 loss=1.772375 lr=0.020755 Epoch[146] Batch [2949]/[3760] Speed: 65.809154 samples/sec accuracy=57.462394 loss=1.773298 lr=0.020745 Epoch[146] Batch [2999]/[3760] Speed: 65.217156 samples/sec accuracy=57.455729 loss=1.773869 lr=0.020734 Epoch[146] Batch [3049]/[3760] Speed: 65.501235 samples/sec accuracy=57.447234 loss=1.774612 lr=0.020724 Epoch[146] Batch [3099]/[3760] Speed: 65.362631 samples/sec accuracy=57.442540 loss=1.775301 lr=0.020714 Epoch[146] 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accuracy=57.377604 loss=1.779476 lr=0.020609 Epoch[146] Batch [3649]/[3760] Speed: 65.321759 samples/sec accuracy=57.366438 loss=1.779181 lr=0.020599 Epoch[146] Batch [3699]/[3760] Speed: 65.133686 samples/sec accuracy=57.346284 loss=1.779947 lr=0.020588 Epoch[146] Batch [3749]/[3760] Speed: 68.791241 samples/sec accuracy=57.341250 loss=1.779515 lr=0.020578 Batch [0049]/[0303]: acc-top1=54.937500 acc-top5=79.375000 Batch [0099]/[0303]: acc-top1=55.484375 acc-top5=79.406250 Batch [0149]/[0303]: acc-top1=55.458333 acc-top5=79.447917 Batch [0199]/[0303]: acc-top1=55.453125 acc-top5=79.531250 Batch [0249]/[0303]: acc-top1=55.737500 acc-top5=79.737500 Batch [0299]/[0303]: acc-top1=55.838542 acc-top5=79.661458 [Epoch 146] training: accuracy=57.337517 loss=1.779827 [Epoch 146] speed: 64 samples/sec time cost: 3997.233669 [Epoch 146] validation: acc-top1=55.878713 acc-top5=79.656559 loss=2.033995 Epoch[147] Batch [0049]/[3760] Speed: 42.299974 samples/sec accuracy=58.937500 loss=1.676446 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acc-top1=56.531250 acc-top5=80.140625 Batch [0249]/[0303]: acc-top1=56.743750 acc-top5=80.287500 Batch [0299]/[0303]: acc-top1=56.901042 acc-top5=80.302083 [Epoch 147] training: accuracy=57.659574 loss=1.766743 [Epoch 147] speed: 64 samples/sec time cost: 3996.231979 [Epoch 147] validation: acc-top1=56.925536 acc-top5=80.301155 loss=1.998767 Epoch[148] Batch [0049]/[3759] Speed: 42.539899 samples/sec accuracy=58.718750 loss=1.709333 lr=0.019788 Epoch[148] Batch [0099]/[3759] Speed: 63.621275 samples/sec accuracy=58.359375 loss=1.738808 lr=0.019777 Epoch[148] Batch [0149]/[3759] Speed: 64.480328 samples/sec accuracy=58.166667 loss=1.731414 lr=0.019767 Epoch[148] Batch [0199]/[3759] Speed: 63.947452 samples/sec accuracy=58.492188 loss=1.722719 lr=0.019757 Epoch[148] Batch [0249]/[3759] Speed: 64.616237 samples/sec accuracy=58.350000 loss=1.728638 lr=0.019747 Epoch[148] Batch [0299]/[3759] Speed: 63.568783 samples/sec accuracy=58.416667 loss=1.729261 lr=0.019736 Epoch[148] Batch 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accuracy=58.156250 loss=1.739541 lr=0.019634 Epoch[148] Batch [0849]/[3759] Speed: 65.429086 samples/sec accuracy=58.198529 loss=1.740591 lr=0.019624 Epoch[148] Batch [0899]/[3759] Speed: 65.189029 samples/sec accuracy=58.178819 loss=1.741237 lr=0.019613 Epoch[148] Batch [0949]/[3759] Speed: 65.041949 samples/sec accuracy=58.202303 loss=1.740042 lr=0.019603 Epoch[148] Batch [0999]/[3759] Speed: 65.646423 samples/sec accuracy=58.262500 loss=1.738697 lr=0.019593 Epoch[148] Batch [1049]/[3759] Speed: 64.073385 samples/sec accuracy=58.291667 loss=1.737270 lr=0.019583 Epoch[148] Batch [1099]/[3759] Speed: 65.545552 samples/sec accuracy=58.329545 loss=1.735737 lr=0.019573 Epoch[148] Batch [1149]/[3759] Speed: 64.871201 samples/sec accuracy=58.305707 loss=1.737026 lr=0.019562 Epoch[148] Batch [1199]/[3759] Speed: 65.523975 samples/sec accuracy=58.332031 loss=1.736445 lr=0.019552 Epoch[148] Batch [1249]/[3759] Speed: 65.155555 samples/sec accuracy=58.373750 loss=1.735385 lr=0.019542 Epoch[148] 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accuracy=58.334821 loss=1.739182 lr=0.019440 Epoch[148] Batch [1799]/[3759] Speed: 64.512990 samples/sec accuracy=58.327257 loss=1.739998 lr=0.019430 Epoch[148] Batch [1849]/[3759] Speed: 65.067748 samples/sec accuracy=58.291385 loss=1.741729 lr=0.019419 Epoch[148] Batch [1899]/[3759] Speed: 65.571824 samples/sec accuracy=58.315789 loss=1.740736 lr=0.019409 Epoch[148] Batch [1949]/[3759] Speed: 65.380582 samples/sec accuracy=58.268429 loss=1.742253 lr=0.019399 Epoch[148] Batch [1999]/[3759] Speed: 65.101529 samples/sec accuracy=58.264844 loss=1.742301 lr=0.019389 Epoch[148] Batch [2049]/[3759] Speed: 64.392054 samples/sec accuracy=58.257622 loss=1.743568 lr=0.019379 Epoch[148] Batch [2099]/[3759] Speed: 65.078385 samples/sec accuracy=58.250000 loss=1.744315 lr=0.019369 Epoch[148] Batch [2149]/[3759] Speed: 65.341946 samples/sec accuracy=58.192587 loss=1.746795 lr=0.019358 Epoch[148] Batch [2199]/[3759] Speed: 65.048681 samples/sec accuracy=58.207386 loss=1.746704 lr=0.019348 Epoch[148] 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accuracy=58.210648 loss=1.748333 lr=0.019247 Epoch[148] Batch [2749]/[3759] Speed: 63.891559 samples/sec accuracy=58.196023 loss=1.748530 lr=0.019236 Epoch[148] Batch [2799]/[3759] Speed: 65.530847 samples/sec accuracy=58.204799 loss=1.748046 lr=0.019226 Epoch[148] Batch [2849]/[3759] Speed: 65.507261 samples/sec accuracy=58.209430 loss=1.747530 lr=0.019216 Epoch[148] Batch [2899]/[3759] Speed: 65.008098 samples/sec accuracy=58.228448 loss=1.746776 lr=0.019206 Epoch[148] Batch [2949]/[3759] Speed: 64.981446 samples/sec accuracy=58.210275 loss=1.747090 lr=0.019196 Epoch[148] Batch [2999]/[3759] Speed: 64.482035 samples/sec accuracy=58.204167 loss=1.746263 lr=0.019186 Epoch[148] Batch [3049]/[3759] Speed: 65.325264 samples/sec accuracy=58.216701 loss=1.745875 lr=0.019176 Epoch[148] Batch [3099]/[3759] Speed: 65.039315 samples/sec accuracy=58.210181 loss=1.745657 lr=0.019165 Epoch[148] Batch [3149]/[3759] Speed: 65.155884 samples/sec accuracy=58.199405 loss=1.745752 lr=0.019155 Epoch[148] 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accuracy=58.166524 loss=1.745211 lr=0.019054 Epoch[148] Batch [3699]/[3759] Speed: 65.248221 samples/sec accuracy=58.132179 loss=1.746468 lr=0.019044 Epoch[148] Batch [3749]/[3759] Speed: 66.996399 samples/sec accuracy=58.140417 loss=1.746079 lr=0.019034 Batch [0049]/[0303]: acc-top1=55.437500 acc-top5=80.093750 Batch [0099]/[0303]: acc-top1=55.812500 acc-top5=80.203125 Batch [0149]/[0303]: acc-top1=55.906250 acc-top5=80.229167 Batch [0199]/[0303]: acc-top1=55.960938 acc-top5=80.242188 Batch [0249]/[0303]: acc-top1=56.318750 acc-top5=80.462500 Batch [0299]/[0303]: acc-top1=56.609375 acc-top5=80.531250 [Epoch 148] training: accuracy=58.151686 loss=1.745865 [Epoch 148] speed: 64 samples/sec time cost: 3999.525653 [Epoch 148] validation: acc-top1=56.600660 acc-top5=80.497112 loss=2.029851 Epoch[149] Batch [0049]/[3760] Speed: 43.431713 samples/sec accuracy=59.218750 loss=1.685671 lr=0.019022 Epoch[149] Batch [0099]/[3760] Speed: 63.347775 samples/sec accuracy=59.437500 loss=1.680348 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lr=0.018439 Epoch[149] Batch [2999]/[3760] Speed: 63.940917 samples/sec accuracy=58.573958 loss=1.729595 lr=0.018429 Epoch[149] Batch [3049]/[3760] Speed: 63.569864 samples/sec accuracy=58.573258 loss=1.729694 lr=0.018419 Epoch[149] Batch [3099]/[3760] Speed: 64.822762 samples/sec accuracy=58.565020 loss=1.730320 lr=0.018409 Epoch[149] Batch [3149]/[3760] Speed: 64.951254 samples/sec accuracy=58.554067 loss=1.730548 lr=0.018399 Epoch[149] Batch [3199]/[3760] Speed: 64.210979 samples/sec accuracy=58.557617 loss=1.730193 lr=0.018389 Epoch[149] Batch [3249]/[3760] Speed: 64.385662 samples/sec accuracy=58.556250 loss=1.730429 lr=0.018379 Epoch[149] Batch [3299]/[3760] Speed: 63.075791 samples/sec accuracy=58.571496 loss=1.730513 lr=0.018369 Epoch[149] Batch [3349]/[3760] Speed: 64.820450 samples/sec accuracy=58.551306 loss=1.730523 lr=0.018359 Epoch[149] Batch [3399]/[3760] Speed: 64.851540 samples/sec accuracy=58.556526 loss=1.730480 lr=0.018349 Epoch[149] Batch [3449]/[3760] Speed: 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[0299]/[0303]: acc-top1=57.291667 acc-top5=80.901042 [Epoch 149] training: accuracy=58.533494 loss=1.732098 [Epoch 149] speed: 64 samples/sec time cost: 4009.683091 [Epoch 149] validation: acc-top1=57.301980 acc-top5=80.894183 loss=1.977835 Epoch[150] Batch [0049]/[3760] Speed: 42.956495 samples/sec accuracy=60.781250 loss=1.616351 lr=0.018268 Epoch[150] Batch [0099]/[3760] Speed: 63.232770 samples/sec accuracy=60.156250 loss=1.646252 lr=0.018258 Epoch[150] Batch [0149]/[3760] Speed: 64.832537 samples/sec accuracy=59.895833 loss=1.651798 lr=0.018248 Epoch[150] Batch [0199]/[3760] Speed: 63.848412 samples/sec accuracy=59.890625 loss=1.662800 lr=0.018238 Epoch[150] Batch [0249]/[3760] Speed: 64.202840 samples/sec accuracy=59.793750 loss=1.663551 lr=0.018228 Epoch[150] Batch [0299]/[3760] Speed: 64.399672 samples/sec accuracy=59.651042 loss=1.667637 lr=0.018218 Epoch[150] Batch [0349]/[3760] Speed: 65.068326 samples/sec accuracy=59.433036 loss=1.679506 lr=0.018208 Epoch[150] Batch 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accuracy=59.262868 loss=1.689517 lr=0.018109 Epoch[150] Batch [0899]/[3760] Speed: 64.616342 samples/sec accuracy=59.267361 loss=1.691445 lr=0.018099 Epoch[150] Batch [0949]/[3760] Speed: 62.918485 samples/sec accuracy=59.356908 loss=1.688558 lr=0.018089 Epoch[150] Batch [0999]/[3760] Speed: 65.681200 samples/sec accuracy=59.356250 loss=1.688760 lr=0.018079 Epoch[150] Batch [1049]/[3760] Speed: 64.846581 samples/sec accuracy=59.352679 loss=1.687756 lr=0.018069 Epoch[150] Batch [1099]/[3760] Speed: 65.451871 samples/sec accuracy=59.372159 loss=1.686934 lr=0.018059 Epoch[150] Batch [1149]/[3760] Speed: 64.786572 samples/sec accuracy=59.370924 loss=1.686696 lr=0.018050 Epoch[150] Batch [1199]/[3760] Speed: 64.483463 samples/sec accuracy=59.351562 loss=1.686913 lr=0.018040 Epoch[150] Batch [1249]/[3760] Speed: 65.030123 samples/sec accuracy=59.328750 loss=1.687403 lr=0.018030 Epoch[150] Batch [1299]/[3760] Speed: 65.231259 samples/sec accuracy=59.266827 loss=1.690007 lr=0.018020 Epoch[150] 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accuracy=59.238715 loss=1.695143 lr=0.017921 Epoch[150] Batch [1849]/[3760] Speed: 65.222010 samples/sec accuracy=59.204392 loss=1.696015 lr=0.017911 Epoch[150] Batch [1899]/[3760] Speed: 62.851736 samples/sec accuracy=59.174342 loss=1.697758 lr=0.017901 Epoch[150] Batch [1949]/[3760] Speed: 66.104403 samples/sec accuracy=59.112179 loss=1.699250 lr=0.017892 Epoch[150] Batch [1999]/[3760] Speed: 63.990638 samples/sec accuracy=59.138281 loss=1.697341 lr=0.017882 Epoch[150] Batch [2049]/[3760] Speed: 65.388081 samples/sec accuracy=59.163872 loss=1.697285 lr=0.017872 Epoch[150] Batch [2099]/[3760] Speed: 64.015135 samples/sec accuracy=59.123512 loss=1.698480 lr=0.017862 Epoch[150] Batch [2149]/[3760] Speed: 64.343767 samples/sec accuracy=59.088663 loss=1.700091 lr=0.017852 Epoch[150] Batch [2199]/[3760] Speed: 64.869896 samples/sec accuracy=59.031960 loss=1.702572 lr=0.017842 Epoch[150] Batch [2249]/[3760] Speed: 65.306798 samples/sec accuracy=59.039583 loss=1.701030 lr=0.017832 Epoch[150] 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accuracy=59.010795 loss=1.704169 lr=0.017734 Epoch[150] Batch [2799]/[3760] Speed: 64.851524 samples/sec accuracy=58.957031 loss=1.705677 lr=0.017724 Epoch[150] Batch [2849]/[3760] Speed: 64.266584 samples/sec accuracy=58.960526 loss=1.706150 lr=0.017714 Epoch[150] Batch [2899]/[3760] Speed: 64.627267 samples/sec accuracy=58.955819 loss=1.706979 lr=0.017705 Epoch[150] Batch [2949]/[3760] Speed: 64.171935 samples/sec accuracy=58.925318 loss=1.707374 lr=0.017695 Epoch[150] Batch [2999]/[3760] Speed: 65.160543 samples/sec accuracy=58.903125 loss=1.708487 lr=0.017685 Epoch[150] Batch [3049]/[3760] Speed: 64.354654 samples/sec accuracy=58.881660 loss=1.709733 lr=0.017675 Epoch[150] Batch [3099]/[3760] Speed: 64.143023 samples/sec accuracy=58.880040 loss=1.710040 lr=0.017665 Epoch[150] Batch [3149]/[3760] Speed: 65.226990 samples/sec accuracy=58.876984 loss=1.709948 lr=0.017655 Epoch[150] Batch [3199]/[3760] Speed: 65.429988 samples/sec accuracy=58.869629 loss=1.710663 lr=0.017646 Epoch[150] Batch [3249]/[3760] Speed: 64.561685 samples/sec accuracy=58.877885 loss=1.711067 lr=0.017636 Epoch[150] Batch [3299]/[3760] Speed: 65.604420 samples/sec accuracy=58.886837 loss=1.710815 lr=0.017626 Epoch[150] Batch [3349]/[3760] Speed: 64.108341 samples/sec accuracy=58.857276 loss=1.712160 lr=0.017616 Epoch[150] Batch [3399]/[3760] Speed: 65.209650 samples/sec accuracy=58.845588 loss=1.712322 lr=0.017606 Epoch[150] Batch [3449]/[3760] Speed: 65.185762 samples/sec accuracy=58.836051 loss=1.712519 lr=0.017597 Epoch[150] Batch [3499]/[3760] Speed: 64.976056 samples/sec accuracy=58.849554 loss=1.712231 lr=0.017587 Epoch[150] Batch [3549]/[3760] Speed: 65.137299 samples/sec accuracy=58.825264 loss=1.713553 lr=0.017577 Epoch[150] Batch [3599]/[3760] Speed: 63.872733 samples/sec accuracy=58.813802 loss=1.714207 lr=0.017567 Epoch[150] Batch [3649]/[3760] Speed: 65.096404 samples/sec accuracy=58.810360 loss=1.714142 lr=0.017557 Epoch[150] Batch [3699]/[3760] Speed: 65.432729 samples/sec accuracy=58.810811 loss=1.713877 lr=0.017548 Epoch[150] Batch [3749]/[3760] Speed: 68.461790 samples/sec accuracy=58.821667 loss=1.713764 lr=0.017538 Batch [0049]/[0303]: acc-top1=57.156250 acc-top5=80.375000 Batch [0099]/[0303]: acc-top1=57.437500 acc-top5=80.703125 Batch [0149]/[0303]: acc-top1=57.041667 acc-top5=81.041667 Batch [0199]/[0303]: acc-top1=57.023437 acc-top5=80.960938 Batch [0249]/[0303]: acc-top1=57.606250 acc-top5=81.343750 Batch [0299]/[0303]: acc-top1=57.697917 acc-top5=81.328125 [Epoch 150] training: accuracy=58.820229 loss=1.713668 [Epoch 150] speed: 64 samples/sec time cost: 4014.197271 [Epoch 150] validation: acc-top1=57.688738 acc-top5=81.322195 loss=1.926180 Epoch[151] Batch [0049]/[3759] Speed: 42.999095 samples/sec accuracy=60.250000 loss=1.669895 lr=0.017526 Epoch[151] Batch [0099]/[3759] Speed: 64.281675 samples/sec accuracy=59.984375 loss=1.665061 lr=0.017516 Epoch[151] Batch [0149]/[3759] Speed: 64.295433 samples/sec accuracy=60.614583 loss=1.644759 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lr=0.016953 Epoch[151] Batch [3049]/[3759] Speed: 65.409202 samples/sec accuracy=59.335553 loss=1.693405 lr=0.016943 Epoch[151] Batch [3099]/[3759] Speed: 65.669670 samples/sec accuracy=59.318044 loss=1.694300 lr=0.016934 Epoch[151] Batch [3149]/[3759] Speed: 65.239152 samples/sec accuracy=59.303075 loss=1.695097 lr=0.016924 Epoch[151] Batch [3199]/[3759] Speed: 64.281591 samples/sec accuracy=59.275391 loss=1.696336 lr=0.016914 Epoch[151] Batch [3249]/[3759] Speed: 65.605581 samples/sec accuracy=59.285096 loss=1.695893 lr=0.016905 Epoch[151] Batch [3299]/[3759] Speed: 64.976616 samples/sec accuracy=59.284091 loss=1.695261 lr=0.016895 Epoch[151] Batch [3349]/[3759] Speed: 64.949706 samples/sec accuracy=59.284049 loss=1.694872 lr=0.016885 Epoch[151] Batch [3399]/[3759] Speed: 65.247263 samples/sec accuracy=59.260110 loss=1.695597 lr=0.016876 Epoch[151] Batch [3449]/[3759] Speed: 64.436712 samples/sec accuracy=59.257246 loss=1.695990 lr=0.016866 Epoch[151] Batch [3499]/[3759] Speed: 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[Epoch 151] speed: 64 samples/sec time cost: 3997.734541 [Epoch 151] validation: acc-top1=58.570545 acc-top5=81.420173 loss=1.906767 Epoch[152] Batch [0049]/[3760] Speed: 42.679491 samples/sec accuracy=61.906250 loss=1.563933 lr=0.016797 Epoch[152] Batch [0099]/[3760] Speed: 63.064435 samples/sec accuracy=61.984375 loss=1.569644 lr=0.016788 Epoch[152] Batch [0149]/[3760] Speed: 63.277049 samples/sec accuracy=61.614583 loss=1.570951 lr=0.016778 Epoch[152] Batch [0199]/[3760] Speed: 63.958052 samples/sec accuracy=60.710937 loss=1.608980 lr=0.016768 Epoch[152] Batch [0249]/[3760] Speed: 64.899243 samples/sec accuracy=60.431250 loss=1.621850 lr=0.016759 Epoch[152] Batch [0299]/[3760] Speed: 63.921680 samples/sec accuracy=60.484375 loss=1.627701 lr=0.016749 Epoch[152] Batch [0349]/[3760] Speed: 65.571588 samples/sec accuracy=60.339286 loss=1.631211 lr=0.016739 Epoch[152] Batch [0399]/[3760] Speed: 63.813570 samples/sec accuracy=60.500000 loss=1.620937 lr=0.016730 Epoch[152] Batch 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accuracy=59.986111 loss=1.645061 lr=0.016634 Epoch[152] Batch [0949]/[3760] Speed: 65.039005 samples/sec accuracy=59.921053 loss=1.648150 lr=0.016624 Epoch[152] Batch [0999]/[3760] Speed: 65.613631 samples/sec accuracy=59.926563 loss=1.648881 lr=0.016615 Epoch[152] Batch [1049]/[3760] Speed: 65.022615 samples/sec accuracy=59.983631 loss=1.647473 lr=0.016605 Epoch[152] Batch [1099]/[3760] Speed: 64.980006 samples/sec accuracy=59.961648 loss=1.650516 lr=0.016596 Epoch[152] Batch [1149]/[3760] Speed: 63.517623 samples/sec accuracy=59.892663 loss=1.653052 lr=0.016586 Epoch[152] Batch [1199]/[3760] Speed: 65.986240 samples/sec accuracy=59.872396 loss=1.652974 lr=0.016577 Epoch[152] Batch [1249]/[3760] Speed: 65.055571 samples/sec accuracy=59.858750 loss=1.653204 lr=0.016567 Epoch[152] Batch [1299]/[3760] Speed: 65.352972 samples/sec accuracy=59.929087 loss=1.651051 lr=0.016558 Epoch[152] Batch [1349]/[3760] Speed: 65.262235 samples/sec accuracy=59.938657 loss=1.652642 lr=0.016548 Epoch[152] 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accuracy=59.831081 loss=1.664492 lr=0.016453 Epoch[152] Batch [1899]/[3760] Speed: 64.225982 samples/sec accuracy=59.870066 loss=1.663348 lr=0.016443 Epoch[152] Batch [1949]/[3760] Speed: 65.946843 samples/sec accuracy=59.844551 loss=1.664658 lr=0.016433 Epoch[152] Batch [1999]/[3760] Speed: 65.224661 samples/sec accuracy=59.823437 loss=1.665428 lr=0.016424 Epoch[152] Batch [2049]/[3760] Speed: 65.260387 samples/sec accuracy=59.821646 loss=1.664973 lr=0.016414 Epoch[152] Batch [2099]/[3760] Speed: 65.262490 samples/sec accuracy=59.809524 loss=1.666254 lr=0.016405 Epoch[152] Batch [2149]/[3760] Speed: 64.163659 samples/sec accuracy=59.819041 loss=1.666619 lr=0.016395 Epoch[152] Batch [2199]/[3760] Speed: 65.987176 samples/sec accuracy=59.809659 loss=1.666336 lr=0.016386 Epoch[152] Batch [2249]/[3760] Speed: 64.704953 samples/sec accuracy=59.805556 loss=1.666524 lr=0.016376 Epoch[152] Batch [2299]/[3760] Speed: 65.797749 samples/sec accuracy=59.794158 loss=1.667249 lr=0.016367 Epoch[152] 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accuracy=59.747210 loss=1.671415 lr=0.016272 Epoch[152] Batch [2849]/[3760] Speed: 65.716939 samples/sec accuracy=59.731360 loss=1.671782 lr=0.016262 Epoch[152] Batch [2899]/[3760] Speed: 65.203032 samples/sec accuracy=59.715517 loss=1.672166 lr=0.016253 Epoch[152] Batch [2949]/[3760] Speed: 64.544479 samples/sec accuracy=59.736758 loss=1.671895 lr=0.016243 Epoch[152] Batch [2999]/[3760] Speed: 65.324150 samples/sec accuracy=59.766146 loss=1.671043 lr=0.016234 Epoch[152] Batch [3049]/[3760] Speed: 65.341816 samples/sec accuracy=59.735143 loss=1.672408 lr=0.016224 Epoch[152] Batch [3099]/[3760] Speed: 65.148880 samples/sec accuracy=59.715222 loss=1.673235 lr=0.016215 Epoch[152] Batch [3149]/[3760] Speed: 65.307202 samples/sec accuracy=59.706845 loss=1.673293 lr=0.016205 Epoch[152] Batch [3199]/[3760] Speed: 64.580465 samples/sec accuracy=59.702148 loss=1.673798 lr=0.016196 Epoch[152] Batch [3249]/[3760] Speed: 65.169941 samples/sec accuracy=59.698558 loss=1.674209 lr=0.016187 Epoch[152] 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accuracy=59.654167 loss=1.677581 lr=0.016092 Batch [0049]/[0303]: acc-top1=58.218750 acc-top5=80.687500 Batch [0099]/[0303]: acc-top1=58.125000 acc-top5=81.250000 Batch [0149]/[0303]: acc-top1=57.833333 acc-top5=81.177083 Batch [0199]/[0303]: acc-top1=57.875000 acc-top5=81.250000 Batch [0249]/[0303]: acc-top1=58.118750 acc-top5=81.512500 Batch [0299]/[0303]: acc-top1=58.203125 acc-top5=81.489583 [Epoch 152] training: accuracy=59.653840 loss=1.677651 [Epoch 152] speed: 64 samples/sec time cost: 3996.782576 [Epoch 152] validation: acc-top1=58.194101 acc-top5=81.502682 loss=1.952526 Epoch[153] Batch [0049]/[3760] Speed: 43.048649 samples/sec accuracy=61.875000 loss=1.558882 lr=0.016081 Epoch[153] Batch [0099]/[3760] Speed: 63.496580 samples/sec accuracy=61.500000 loss=1.598139 lr=0.016071 Epoch[153] Batch [0149]/[3760] Speed: 64.947682 samples/sec accuracy=60.958333 loss=1.613803 lr=0.016062 Epoch[153] Batch [0199]/[3760] Speed: 63.422070 samples/sec accuracy=61.218750 loss=1.602806 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lr=0.015695 Epoch[153] Batch [2149]/[3760] Speed: 66.585807 samples/sec accuracy=60.202035 loss=1.649148 lr=0.015686 Epoch[153] Batch [2199]/[3760] Speed: 65.310955 samples/sec accuracy=60.203835 loss=1.649614 lr=0.015677 Epoch[153] Batch [2249]/[3760] Speed: 65.472678 samples/sec accuracy=60.188889 loss=1.650637 lr=0.015667 Epoch[153] Batch [2299]/[3760] Speed: 65.279676 samples/sec accuracy=60.204484 loss=1.651396 lr=0.015658 Epoch[153] Batch [2349]/[3760] Speed: 64.302685 samples/sec accuracy=60.189495 loss=1.651643 lr=0.015649 Epoch[153] Batch [2399]/[3760] Speed: 65.454555 samples/sec accuracy=60.160807 loss=1.653304 lr=0.015639 Epoch[153] Batch [2449]/[3760] Speed: 65.768131 samples/sec accuracy=60.139668 loss=1.654528 lr=0.015630 Epoch[153] Batch [2499]/[3760] Speed: 65.410148 samples/sec accuracy=60.158750 loss=1.653172 lr=0.015621 Epoch[153] Batch [2549]/[3760] Speed: 65.609973 samples/sec accuracy=60.128064 loss=1.654160 lr=0.015611 Epoch[153] Batch [2599]/[3760] Speed: 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lr=0.015518 Epoch[153] Batch [3099]/[3760] Speed: 64.780000 samples/sec accuracy=60.029234 loss=1.656359 lr=0.015509 Epoch[153] Batch [3149]/[3760] Speed: 64.727538 samples/sec accuracy=60.023313 loss=1.656976 lr=0.015500 Epoch[153] Batch [3199]/[3760] Speed: 65.407427 samples/sec accuracy=60.037598 loss=1.656962 lr=0.015490 Epoch[153] Batch [3249]/[3760] Speed: 64.570376 samples/sec accuracy=60.034135 loss=1.657522 lr=0.015481 Epoch[153] Batch [3299]/[3760] Speed: 65.623876 samples/sec accuracy=60.053977 loss=1.657002 lr=0.015472 Epoch[153] Batch [3349]/[3760] Speed: 63.494912 samples/sec accuracy=60.039646 loss=1.657994 lr=0.015463 Epoch[153] Batch [3399]/[3760] Speed: 65.519717 samples/sec accuracy=60.025276 loss=1.658449 lr=0.015453 Epoch[153] Batch [3449]/[3760] Speed: 64.419410 samples/sec accuracy=60.018569 loss=1.658586 lr=0.015444 Epoch[153] Batch [3499]/[3760] Speed: 65.509612 samples/sec accuracy=60.001786 loss=1.659097 lr=0.015435 Epoch[153] Batch [3549]/[3760] Speed: 64.890686 samples/sec accuracy=59.991637 loss=1.659920 lr=0.015425 Epoch[153] Batch [3599]/[3760] Speed: 64.559442 samples/sec accuracy=59.993056 loss=1.660253 lr=0.015416 Epoch[153] Batch [3649]/[3760] Speed: 65.017176 samples/sec accuracy=59.999144 loss=1.659580 lr=0.015407 Epoch[153] Batch [3699]/[3760] Speed: 65.010748 samples/sec accuracy=60.003801 loss=1.659557 lr=0.015398 Epoch[153] Batch [3749]/[3760] Speed: 68.199163 samples/sec accuracy=59.984583 loss=1.660540 lr=0.015388 Batch [0049]/[0303]: acc-top1=57.156250 acc-top5=80.593750 Batch [0099]/[0303]: acc-top1=57.890625 acc-top5=81.031250 Batch [0149]/[0303]: acc-top1=57.770833 acc-top5=80.875000 Batch [0199]/[0303]: acc-top1=57.875000 acc-top5=81.007812 Batch [0249]/[0303]: acc-top1=58.162500 acc-top5=81.362500 Batch [0299]/[0303]: acc-top1=58.270833 acc-top5=81.312500 [Epoch 153] training: accuracy=59.979222 loss=1.660515 [Epoch 153] speed: 64 samples/sec time cost: 3994.975524 [Epoch 153] validation: acc-top1=58.286922 acc-top5=81.301568 loss=1.940059 Epoch[154] Batch [0049]/[3759] Speed: 43.161398 samples/sec accuracy=60.625000 loss=1.627991 lr=0.015377 Epoch[154] Batch [0099]/[3759] Speed: 63.359785 samples/sec accuracy=60.609375 loss=1.622461 lr=0.015368 Epoch[154] Batch [0149]/[3759] Speed: 64.417649 samples/sec accuracy=60.833333 loss=1.621614 lr=0.015359 Epoch[154] Batch [0199]/[3759] Speed: 63.855246 samples/sec accuracy=61.179688 loss=1.611023 lr=0.015349 Epoch[154] Batch [0249]/[3759] Speed: 65.155459 samples/sec accuracy=61.318750 loss=1.600856 lr=0.015340 Epoch[154] Batch [0299]/[3759] Speed: 63.363568 samples/sec accuracy=61.072917 loss=1.606486 lr=0.015331 Epoch[154] Batch [0349]/[3759] Speed: 65.182909 samples/sec accuracy=61.227679 loss=1.606875 lr=0.015322 Epoch[154] Batch [0399]/[3759] Speed: 64.473087 samples/sec accuracy=61.199219 loss=1.608013 lr=0.015312 Epoch[154] Batch [0449]/[3759] Speed: 65.327054 samples/sec accuracy=61.170139 loss=1.610207 lr=0.015303 Epoch[154] Batch 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accuracy=60.965461 loss=1.620692 lr=0.015211 Epoch[154] Batch [0999]/[3759] Speed: 65.312381 samples/sec accuracy=61.090625 loss=1.615597 lr=0.015202 Epoch[154] Batch [1049]/[3759] Speed: 64.477333 samples/sec accuracy=61.062500 loss=1.616871 lr=0.015192 Epoch[154] Batch [1099]/[3759] Speed: 65.423851 samples/sec accuracy=61.061080 loss=1.616614 lr=0.015183 Epoch[154] Batch [1149]/[3759] Speed: 65.373002 samples/sec accuracy=61.086957 loss=1.617109 lr=0.015174 Epoch[154] Batch [1199]/[3759] Speed: 65.576695 samples/sec accuracy=61.063802 loss=1.617357 lr=0.015165 Epoch[154] Batch [1249]/[3759] Speed: 65.661924 samples/sec accuracy=61.007500 loss=1.618047 lr=0.015155 Epoch[154] Batch [1299]/[3759] Speed: 64.603477 samples/sec accuracy=61.015625 loss=1.617459 lr=0.015146 Epoch[154] Batch [1349]/[3759] Speed: 65.383033 samples/sec accuracy=60.987269 loss=1.618672 lr=0.015137 Epoch[154] Batch [1399]/[3759] Speed: 65.352983 samples/sec accuracy=60.967634 loss=1.618160 lr=0.015128 Epoch[154] 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accuracy=60.727796 loss=1.627098 lr=0.015036 Epoch[154] Batch [1949]/[3759] Speed: 65.547747 samples/sec accuracy=60.720353 loss=1.628730 lr=0.015027 Epoch[154] Batch [1999]/[3759] Speed: 63.892225 samples/sec accuracy=60.689844 loss=1.629832 lr=0.015018 Epoch[154] Batch [2049]/[3759] Speed: 65.807562 samples/sec accuracy=60.668445 loss=1.631264 lr=0.015008 Epoch[154] Batch [2099]/[3759] Speed: 65.370227 samples/sec accuracy=60.639881 loss=1.631988 lr=0.014999 Epoch[154] Batch [2149]/[3759] Speed: 65.424498 samples/sec accuracy=60.621366 loss=1.632673 lr=0.014990 Epoch[154] Batch [2199]/[3759] Speed: 65.494950 samples/sec accuracy=60.613636 loss=1.632569 lr=0.014981 Epoch[154] Batch [2249]/[3759] Speed: 63.884765 samples/sec accuracy=60.579167 loss=1.633187 lr=0.014972 Epoch[154] Batch [2299]/[3759] Speed: 66.123517 samples/sec accuracy=60.595109 loss=1.632923 lr=0.014963 Epoch[154] Batch [2349]/[3759] Speed: 64.982249 samples/sec accuracy=60.583112 loss=1.633351 lr=0.014953 Epoch[154] 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accuracy=60.498904 loss=1.637011 lr=0.014862 Epoch[154] Batch [2899]/[3759] Speed: 65.423304 samples/sec accuracy=60.494073 loss=1.636909 lr=0.014853 Epoch[154] Batch [2949]/[3759] Speed: 65.351139 samples/sec accuracy=60.488347 loss=1.637586 lr=0.014844 Epoch[154] Batch [2999]/[3759] Speed: 64.521113 samples/sec accuracy=60.468750 loss=1.638106 lr=0.014834 Epoch[154] Batch [3049]/[3759] Speed: 65.564600 samples/sec accuracy=60.466189 loss=1.638161 lr=0.014825 Epoch[154] Batch [3099]/[3759] Speed: 64.894832 samples/sec accuracy=60.439516 loss=1.639061 lr=0.014816 Epoch[154] Batch [3149]/[3759] Speed: 65.624454 samples/sec accuracy=60.437500 loss=1.639097 lr=0.014807 Epoch[154] Batch [3199]/[3759] Speed: 65.447843 samples/sec accuracy=60.426270 loss=1.639461 lr=0.014798 Epoch[154] Batch [3249]/[3759] Speed: 64.207618 samples/sec accuracy=60.431731 loss=1.639541 lr=0.014789 Epoch[154] Batch [3299]/[3759] Speed: 65.479274 samples/sec accuracy=60.444129 loss=1.639224 lr=0.014780 Epoch[154] Batch [3349]/[3759] Speed: 65.253519 samples/sec accuracy=60.409515 loss=1.640554 lr=0.014771 Epoch[154] Batch [3399]/[3759] Speed: 65.478919 samples/sec accuracy=60.384651 loss=1.641681 lr=0.014762 Epoch[154] Batch [3449]/[3759] Speed: 65.313422 samples/sec accuracy=60.375000 loss=1.642341 lr=0.014752 Epoch[154] Batch [3499]/[3759] Speed: 64.776711 samples/sec accuracy=60.351339 loss=1.643069 lr=0.014743 Epoch[154] Batch [3549]/[3759] Speed: 65.416796 samples/sec accuracy=60.367958 loss=1.642668 lr=0.014734 Epoch[154] Batch [3599]/[3759] Speed: 65.254596 samples/sec accuracy=60.358073 loss=1.643173 lr=0.014725 Epoch[154] Batch [3649]/[3759] Speed: 65.544594 samples/sec accuracy=60.377997 loss=1.642688 lr=0.014716 Epoch[154] Batch [3699]/[3759] Speed: 65.540854 samples/sec accuracy=60.340372 loss=1.643395 lr=0.014707 Epoch[154] Batch [3749]/[3759] Speed: 67.798528 samples/sec accuracy=60.336667 loss=1.643520 lr=0.014698 Batch [0049]/[0303]: acc-top1=57.562500 acc-top5=81.156250 Batch [0099]/[0303]: acc-top1=58.125000 acc-top5=81.390625 Batch [0149]/[0303]: acc-top1=58.010417 acc-top5=81.354167 Batch [0199]/[0303]: acc-top1=58.218750 acc-top5=81.343750 Batch [0249]/[0303]: acc-top1=58.587500 acc-top5=81.493750 Batch [0299]/[0303]: acc-top1=58.541667 acc-top5=81.625000 [Epoch 154] training: accuracy=60.339768 loss=1.643384 [Epoch 154] speed: 64 samples/sec time cost: 3991.061897 [Epoch 154] validation: acc-top1=58.513820 acc-top5=81.626444 loss=1.952306 Epoch[155] Batch [0049]/[3760] Speed: 42.844974 samples/sec accuracy=61.093750 loss=1.607118 lr=0.014687 Epoch[155] Batch [0099]/[3760] Speed: 63.789387 samples/sec accuracy=61.343750 loss=1.581957 lr=0.014678 Epoch[155] Batch [0149]/[3760] Speed: 64.723485 samples/sec accuracy=61.697917 loss=1.577610 lr=0.014669 Epoch[155] Batch [0199]/[3760] Speed: 63.845934 samples/sec accuracy=61.976562 loss=1.561365 lr=0.014660 Epoch[155] Batch [0249]/[3760] Speed: 65.770175 samples/sec accuracy=61.631250 loss=1.573552 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lr=0.014479 Epoch[155] Batch [1249]/[3760] Speed: 65.205318 samples/sec accuracy=61.021250 loss=1.606969 lr=0.014470 Epoch[155] Batch [1299]/[3760] Speed: 65.697151 samples/sec accuracy=61.042067 loss=1.607802 lr=0.014461 Epoch[155] Batch [1349]/[3760] Speed: 65.250841 samples/sec accuracy=61.026620 loss=1.608936 lr=0.014452 Epoch[155] Batch [1399]/[3760] Speed: 65.061077 samples/sec accuracy=61.022321 loss=1.608948 lr=0.014443 Epoch[155] Batch [1449]/[3760] Speed: 64.512324 samples/sec accuracy=61.033405 loss=1.608493 lr=0.014434 Epoch[155] Batch [1499]/[3760] Speed: 65.270719 samples/sec accuracy=61.013542 loss=1.609704 lr=0.014424 Epoch[155] Batch [1549]/[3760] Speed: 65.102980 samples/sec accuracy=61.014113 loss=1.609679 lr=0.014415 Epoch[155] Batch [1599]/[3760] Speed: 65.046822 samples/sec accuracy=61.008789 loss=1.610847 lr=0.014406 Epoch[155] Batch [1649]/[3760] Speed: 65.474450 samples/sec accuracy=61.012311 loss=1.610503 lr=0.014397 Epoch[155] Batch [1699]/[3760] Speed: 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lr=0.014307 Epoch[155] Batch [2199]/[3760] Speed: 64.830345 samples/sec accuracy=60.899148 loss=1.618280 lr=0.014298 Epoch[155] Batch [2249]/[3760] Speed: 65.246823 samples/sec accuracy=60.913194 loss=1.618364 lr=0.014289 Epoch[155] Batch [2299]/[3760] Speed: 65.036441 samples/sec accuracy=60.916440 loss=1.617638 lr=0.014280 Epoch[155] Batch [2349]/[3760] Speed: 65.170329 samples/sec accuracy=60.906250 loss=1.617611 lr=0.014271 Epoch[155] Batch [2399]/[3760] Speed: 65.562492 samples/sec accuracy=60.904948 loss=1.618008 lr=0.014263 Epoch[155] Batch [2449]/[3760] Speed: 64.481471 samples/sec accuracy=60.896046 loss=1.618922 lr=0.014254 Epoch[155] Batch [2499]/[3760] Speed: 65.547193 samples/sec accuracy=60.878125 loss=1.619003 lr=0.014245 Epoch[155] Batch [2549]/[3760] Speed: 65.397532 samples/sec accuracy=60.877451 loss=1.618251 lr=0.014236 Epoch[155] Batch [2599]/[3760] Speed: 65.349641 samples/sec accuracy=60.870793 loss=1.618684 lr=0.014227 Epoch[155] Batch [2649]/[3760] Speed: 63.743747 samples/sec accuracy=60.864976 loss=1.619372 lr=0.014218 Epoch[155] Batch [2699]/[3760] Speed: 66.489155 samples/sec accuracy=60.842014 loss=1.619366 lr=0.014209 Epoch[155] Batch [2749]/[3760] Speed: 65.358526 samples/sec accuracy=60.843182 loss=1.618777 lr=0.014200 Epoch[155] Batch [2799]/[3760] Speed: 65.313764 samples/sec accuracy=60.837612 loss=1.618780 lr=0.014191 Epoch[155] Batch [2849]/[3760] Speed: 65.583114 samples/sec accuracy=60.820175 loss=1.619691 lr=0.014182 Epoch[155] Batch [2899]/[3760] Speed: 63.505449 samples/sec accuracy=60.821659 loss=1.620529 lr=0.014173 Epoch[155] Batch [2949]/[3760] Speed: 65.932008 samples/sec accuracy=60.814619 loss=1.620684 lr=0.014164 Epoch[155] Batch [2999]/[3760] Speed: 65.187571 samples/sec accuracy=60.780208 loss=1.621643 lr=0.014155 Epoch[155] Batch [3049]/[3760] Speed: 65.511528 samples/sec accuracy=60.785348 loss=1.621222 lr=0.014146 Epoch[155] Batch [3099]/[3760] Speed: 65.438127 samples/sec accuracy=60.771673 loss=1.621741 lr=0.014137 Epoch[155] Batch [3149]/[3760] Speed: 63.907868 samples/sec accuracy=60.754960 loss=1.622321 lr=0.014128 Epoch[155] Batch [3199]/[3760] Speed: 65.709019 samples/sec accuracy=60.748047 loss=1.622691 lr=0.014119 Epoch[155] Batch [3249]/[3760] Speed: 65.252463 samples/sec accuracy=60.746635 loss=1.622908 lr=0.014110 Epoch[155] Batch [3299]/[3760] Speed: 65.401549 samples/sec accuracy=60.722538 loss=1.623860 lr=0.014101 Epoch[155] Batch [3349]/[3760] Speed: 65.249950 samples/sec accuracy=60.698228 loss=1.624528 lr=0.014092 Epoch[155] Batch [3399]/[3760] Speed: 64.189675 samples/sec accuracy=60.698529 loss=1.624136 lr=0.014083 Epoch[155] Batch [3449]/[3760] Speed: 65.443024 samples/sec accuracy=60.680707 loss=1.624796 lr=0.014075 Epoch[155] Batch [3499]/[3760] Speed: 65.249622 samples/sec accuracy=60.688839 loss=1.624273 lr=0.014066 Epoch[155] Batch [3549]/[3760] Speed: 65.390600 samples/sec accuracy=60.683539 loss=1.624064 lr=0.014057 Epoch[155] Batch [3599]/[3760] Speed: 65.233093 samples/sec accuracy=60.675347 loss=1.624453 lr=0.014048 Epoch[155] Batch [3649]/[3760] Speed: 64.668448 samples/sec accuracy=60.681507 loss=1.624313 lr=0.014039 Epoch[155] Batch [3699]/[3760] Speed: 65.224963 samples/sec accuracy=60.701436 loss=1.623928 lr=0.014030 Epoch[155] Batch [3749]/[3760] Speed: 68.873702 samples/sec accuracy=60.706250 loss=1.623716 lr=0.014021 Batch [0049]/[0303]: acc-top1=57.156250 acc-top5=80.468750 Batch [0099]/[0303]: acc-top1=57.953125 acc-top5=80.812500 Batch [0149]/[0303]: acc-top1=58.052083 acc-top5=80.864583 Batch [0199]/[0303]: acc-top1=58.148438 acc-top5=81.132812 Batch [0249]/[0303]: acc-top1=58.525000 acc-top5=81.393750 Batch [0299]/[0303]: acc-top1=58.671875 acc-top5=81.479167 [Epoch 155] training: accuracy=60.706034 loss=1.623697 [Epoch 155] speed: 64 samples/sec time cost: 3992.371377 [Epoch 155] validation: acc-top1=58.678837 acc-top5=81.451114 loss=1.963427 Epoch[156] Batch [0049]/[3760] Speed: 43.042252 samples/sec accuracy=62.875000 loss=1.574888 lr=0.014010 Epoch[156] Batch [0099]/[3760] Speed: 63.580507 samples/sec accuracy=63.156250 loss=1.557044 lr=0.014001 Epoch[156] Batch [0149]/[3760] Speed: 63.544703 samples/sec accuracy=62.989583 loss=1.558515 lr=0.013992 Epoch[156] Batch [0199]/[3760] Speed: 64.421012 samples/sec accuracy=62.664062 loss=1.562984 lr=0.013984 Epoch[156] Batch [0249]/[3760] Speed: 65.355116 samples/sec accuracy=62.387500 loss=1.565098 lr=0.013975 Epoch[156] Batch [0299]/[3760] Speed: 65.266868 samples/sec accuracy=62.338542 loss=1.558768 lr=0.013966 Epoch[156] Batch [0349]/[3760] Speed: 65.427778 samples/sec accuracy=62.290179 loss=1.558802 lr=0.013957 Epoch[156] Batch [0399]/[3760] Speed: 64.167456 samples/sec accuracy=62.207031 loss=1.558980 lr=0.013948 Epoch[156] Batch [0449]/[3760] Speed: 65.680464 samples/sec accuracy=62.173611 loss=1.561728 lr=0.013939 Epoch[156] Batch [0499]/[3760] Speed: 65.347522 samples/sec accuracy=62.106250 loss=1.564732 lr=0.013930 Epoch[156] 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accuracy=61.768750 loss=1.578328 lr=0.013841 Epoch[156] Batch [1049]/[3760] Speed: 65.745059 samples/sec accuracy=61.784226 loss=1.578231 lr=0.013833 Epoch[156] Batch [1099]/[3760] Speed: 64.776121 samples/sec accuracy=61.776989 loss=1.578043 lr=0.013824 Epoch[156] Batch [1149]/[3760] Speed: 65.430519 samples/sec accuracy=61.763587 loss=1.578997 lr=0.013815 Epoch[156] Batch [1199]/[3760] Speed: 64.566059 samples/sec accuracy=61.744792 loss=1.578732 lr=0.013806 Epoch[156] Batch [1249]/[3760] Speed: 65.492374 samples/sec accuracy=61.716250 loss=1.579699 lr=0.013797 Epoch[156] Batch [1299]/[3760] Speed: 65.181208 samples/sec accuracy=61.698317 loss=1.580942 lr=0.013788 Epoch[156] Batch [1349]/[3760] Speed: 65.377963 samples/sec accuracy=61.693287 loss=1.582723 lr=0.013779 Epoch[156] Batch [1399]/[3760] Speed: 65.291799 samples/sec accuracy=61.662946 loss=1.584979 lr=0.013771 Epoch[156] Batch [1449]/[3760] Speed: 64.561765 samples/sec accuracy=61.691810 loss=1.583480 lr=0.013762 Epoch[156] 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accuracy=61.595353 loss=1.583225 lr=0.013673 Epoch[156] Batch [1999]/[3760] Speed: 65.396825 samples/sec accuracy=61.539844 loss=1.585273 lr=0.013665 Epoch[156] Batch [2049]/[3760] Speed: 65.558391 samples/sec accuracy=61.524390 loss=1.586282 lr=0.013656 Epoch[156] Batch [2099]/[3760] Speed: 65.319383 samples/sec accuracy=61.489583 loss=1.588251 lr=0.013647 Epoch[156] Batch [2149]/[3760] Speed: 65.616525 samples/sec accuracy=61.462936 loss=1.589028 lr=0.013638 Epoch[156] Batch [2199]/[3760] Speed: 63.882529 samples/sec accuracy=61.450994 loss=1.590052 lr=0.013629 Epoch[156] Batch [2249]/[3760] Speed: 66.319788 samples/sec accuracy=61.451389 loss=1.590347 lr=0.013621 Epoch[156] Batch [2299]/[3760] Speed: 64.724870 samples/sec accuracy=61.434103 loss=1.591076 lr=0.013612 Epoch[156] Batch [2349]/[3760] Speed: 65.893310 samples/sec accuracy=61.411569 loss=1.592890 lr=0.013603 Epoch[156] Batch [2399]/[3760] Speed: 64.890337 samples/sec accuracy=61.402995 loss=1.593526 lr=0.013594 Epoch[156] 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accuracy=61.295259 loss=1.599801 lr=0.013506 Epoch[156] Batch [2949]/[3760] Speed: 64.964334 samples/sec accuracy=61.309322 loss=1.599422 lr=0.013498 Epoch[156] Batch [2999]/[3760] Speed: 64.447366 samples/sec accuracy=61.309375 loss=1.599569 lr=0.013489 Epoch[156] Batch [3049]/[3760] Speed: 65.316816 samples/sec accuracy=61.284324 loss=1.599972 lr=0.013480 Epoch[156] Batch [3099]/[3760] Speed: 65.561770 samples/sec accuracy=61.294355 loss=1.599663 lr=0.013471 Epoch[156] Batch [3149]/[3760] Speed: 65.312378 samples/sec accuracy=61.306548 loss=1.598911 lr=0.013463 Epoch[156] Batch [3199]/[3760] Speed: 65.711114 samples/sec accuracy=61.273926 loss=1.599733 lr=0.013454 Epoch[156] Batch [3249]/[3760] Speed: 64.093068 samples/sec accuracy=61.252404 loss=1.600787 lr=0.013445 Epoch[156] Batch [3299]/[3760] Speed: 65.016727 samples/sec accuracy=61.257102 loss=1.600755 lr=0.013436 Epoch[156] Batch [3349]/[3760] Speed: 65.689755 samples/sec accuracy=61.258862 loss=1.600836 lr=0.013428 Epoch[156] Batch [3399]/[3760] Speed: 65.140843 samples/sec accuracy=61.251838 loss=1.601055 lr=0.013419 Epoch[156] Batch [3449]/[3760] Speed: 65.687251 samples/sec accuracy=61.231884 loss=1.601917 lr=0.013410 Epoch[156] Batch [3499]/[3760] Speed: 64.265975 samples/sec accuracy=61.221875 loss=1.602715 lr=0.013401 Epoch[156] Batch [3549]/[3760] Speed: 66.120282 samples/sec accuracy=61.201585 loss=1.603797 lr=0.013393 Epoch[156] Batch [3599]/[3760] Speed: 65.140297 samples/sec accuracy=61.213542 loss=1.603492 lr=0.013384 Epoch[156] Batch [3649]/[3760] Speed: 64.765451 samples/sec accuracy=61.194349 loss=1.604213 lr=0.013375 Epoch[156] Batch [3699]/[3760] Speed: 65.657488 samples/sec accuracy=61.205236 loss=1.604386 lr=0.013366 Epoch[156] Batch [3749]/[3760] Speed: 67.975139 samples/sec accuracy=61.213333 loss=1.604562 lr=0.013358 Batch [0049]/[0303]: acc-top1=58.281250 acc-top5=81.656250 Batch [0099]/[0303]: acc-top1=59.000000 acc-top5=81.890625 Batch [0149]/[0303]: acc-top1=59.447917 acc-top5=82.125000 Batch [0199]/[0303]: acc-top1=59.585938 acc-top5=82.125000 Batch [0249]/[0303]: acc-top1=59.762500 acc-top5=82.312500 Batch [0299]/[0303]: acc-top1=59.828125 acc-top5=82.354167 [Epoch 156] training: accuracy=61.215924 loss=1.604516 [Epoch 156] speed: 64 samples/sec time cost: 3987.957858 [Epoch 156] validation: acc-top1=59.828795 acc-top5=82.338078 loss=1.873770 Epoch[157] Batch [0049]/[3759] Speed: 43.152935 samples/sec accuracy=61.593750 loss=1.546267 lr=0.013347 Epoch[157] Batch [0099]/[3759] Speed: 63.213562 samples/sec accuracy=61.687500 loss=1.552471 lr=0.013338 Epoch[157] Batch [0149]/[3759] Speed: 64.595189 samples/sec accuracy=61.552083 loss=1.562690 lr=0.013330 Epoch[157] Batch [0199]/[3759] Speed: 63.999387 samples/sec accuracy=61.937500 loss=1.557330 lr=0.013321 Epoch[157] Batch [0249]/[3759] Speed: 63.866037 samples/sec accuracy=62.512500 loss=1.545733 lr=0.013312 Epoch[157] Batch [0299]/[3759] Speed: 65.510750 samples/sec accuracy=62.609375 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accuracy=62.028750 loss=1.565871 lr=0.013138 Epoch[157] Batch [1299]/[3759] Speed: 63.307565 samples/sec accuracy=61.989183 loss=1.567958 lr=0.013130 Epoch[157] Batch [1349]/[3759] Speed: 65.965333 samples/sec accuracy=61.945602 loss=1.567921 lr=0.013121 Epoch[157] Batch [1399]/[3759] Speed: 64.729643 samples/sec accuracy=61.849330 loss=1.569293 lr=0.013112 Epoch[157] Batch [1449]/[3759] Speed: 65.571407 samples/sec accuracy=61.766164 loss=1.572403 lr=0.013104 Epoch[157] Batch [1499]/[3759] Speed: 64.658084 samples/sec accuracy=61.802083 loss=1.571799 lr=0.013095 Epoch[157] Batch [1549]/[3759] Speed: 63.458665 samples/sec accuracy=61.820565 loss=1.570567 lr=0.013087 Epoch[157] Batch [1599]/[3759] Speed: 65.940398 samples/sec accuracy=61.813477 loss=1.571700 lr=0.013078 Epoch[157] Batch [1649]/[3759] Speed: 65.137593 samples/sec accuracy=61.809659 loss=1.572380 lr=0.013069 Epoch[157] Batch [1699]/[3759] Speed: 64.953055 samples/sec accuracy=61.848346 loss=1.570536 lr=0.013061 Epoch[157] 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accuracy=61.837358 loss=1.571515 lr=0.012974 Epoch[157] Batch [2249]/[3759] Speed: 64.713185 samples/sec accuracy=61.815278 loss=1.572838 lr=0.012966 Epoch[157] Batch [2299]/[3759] Speed: 64.903309 samples/sec accuracy=61.790082 loss=1.573972 lr=0.012957 Epoch[157] Batch [2349]/[3759] Speed: 63.892886 samples/sec accuracy=61.783245 loss=1.573528 lr=0.012948 Epoch[157] Batch [2399]/[3759] Speed: 65.255724 samples/sec accuracy=61.754557 loss=1.574165 lr=0.012940 Epoch[157] Batch [2449]/[3759] Speed: 65.156572 samples/sec accuracy=61.718112 loss=1.575524 lr=0.012931 Epoch[157] Batch [2499]/[3759] Speed: 65.174719 samples/sec accuracy=61.685625 loss=1.576769 lr=0.012923 Epoch[157] Batch [2549]/[3759] Speed: 65.067681 samples/sec accuracy=61.691789 loss=1.576922 lr=0.012914 Epoch[157] Batch [2599]/[3759] Speed: 63.254933 samples/sec accuracy=61.695312 loss=1.577876 lr=0.012905 Epoch[157] Batch [2649]/[3759] Speed: 65.818685 samples/sec accuracy=61.695755 loss=1.578429 lr=0.012897 Epoch[157] Batch [2699]/[3759] Speed: 64.374402 samples/sec accuracy=61.691551 loss=1.578546 lr=0.012888 Epoch[157] Batch [2749]/[3759] Speed: 64.965926 samples/sec accuracy=61.676136 loss=1.578629 lr=0.012880 Epoch[157] Batch [2799]/[3759] Speed: 64.618715 samples/sec accuracy=61.676897 loss=1.578990 lr=0.012871 Epoch[157] Batch [2849]/[3759] Speed: 65.468046 samples/sec accuracy=61.686952 loss=1.578684 lr=0.012862 Epoch[157] Batch [2899]/[3759] Speed: 64.007712 samples/sec accuracy=61.672953 loss=1.579375 lr=0.012854 Epoch[157] Batch [2949]/[3759] Speed: 65.749284 samples/sec accuracy=61.671081 loss=1.579834 lr=0.012845 Epoch[157] Batch [2999]/[3759] Speed: 64.829571 samples/sec accuracy=61.668750 loss=1.580061 lr=0.012837 Epoch[157] Batch [3049]/[3759] Speed: 65.207126 samples/sec accuracy=61.657275 loss=1.580203 lr=0.012828 Epoch[157] Batch [3099]/[3759] Speed: 64.871828 samples/sec accuracy=61.650202 loss=1.580755 lr=0.012819 Epoch[157] Batch [3149]/[3759] Speed: 64.712541 samples/sec accuracy=61.633929 loss=1.581155 lr=0.012811 Epoch[157] Batch [3199]/[3759] Speed: 65.030735 samples/sec accuracy=61.625977 loss=1.581960 lr=0.012802 Epoch[157] Batch [3249]/[3759] Speed: 65.514105 samples/sec accuracy=61.616827 loss=1.582279 lr=0.012794 Epoch[157] Batch [3299]/[3759] Speed: 64.948101 samples/sec accuracy=61.620739 loss=1.582295 lr=0.012785 Epoch[157] Batch [3349]/[3759] Speed: 65.042413 samples/sec accuracy=61.592351 loss=1.583188 lr=0.012777 Epoch[157] Batch [3399]/[3759] Speed: 64.141850 samples/sec accuracy=61.594669 loss=1.583360 lr=0.012768 Epoch[157] Batch [3449]/[3759] Speed: 65.161585 samples/sec accuracy=61.582428 loss=1.584087 lr=0.012760 Epoch[157] Batch [3499]/[3759] Speed: 65.458605 samples/sec accuracy=61.581696 loss=1.584480 lr=0.012751 Epoch[157] Batch [3549]/[3759] Speed: 64.433445 samples/sec accuracy=61.588908 loss=1.584410 lr=0.012742 Epoch[157] Batch [3599]/[3759] Speed: 65.643856 samples/sec accuracy=61.595486 loss=1.584687 lr=0.012734 Epoch[157] Batch [3649]/[3759] Speed: 63.683784 samples/sec accuracy=61.621575 loss=1.583997 lr=0.012725 Epoch[157] Batch [3699]/[3759] Speed: 65.772470 samples/sec accuracy=61.625422 loss=1.583521 lr=0.012717 Epoch[157] Batch [3749]/[3759] Speed: 68.850892 samples/sec accuracy=61.635000 loss=1.582744 lr=0.012708 Batch [0049]/[0303]: acc-top1=58.468750 acc-top5=80.718750 Batch [0099]/[0303]: acc-top1=59.343750 acc-top5=81.468750 Batch [0149]/[0303]: acc-top1=59.500000 acc-top5=81.760417 Batch [0199]/[0303]: acc-top1=59.453125 acc-top5=81.734375 Batch [0249]/[0303]: acc-top1=59.812500 acc-top5=82.093750 Batch [0299]/[0303]: acc-top1=59.744792 acc-top5=82.041667 [Epoch 157] training: accuracy=61.632914 loss=1.582911 [Epoch 157] speed: 64 samples/sec time cost: 3999.629484 [Epoch 157] validation: acc-top1=59.756601 acc-top5=82.049299 loss=1.936026 Epoch[158] Batch [0049]/[3760] Speed: 42.998473 samples/sec accuracy=60.843750 loss=1.601827 lr=0.012698 Epoch[158] Batch [0099]/[3760] Speed: 63.654538 samples/sec accuracy=62.078125 loss=1.565317 lr=0.012690 Epoch[158] Batch [0149]/[3760] Speed: 63.000327 samples/sec accuracy=62.166667 loss=1.559607 lr=0.012681 Epoch[158] Batch [0199]/[3760] Speed: 64.442995 samples/sec accuracy=62.546875 loss=1.545113 lr=0.012673 Epoch[158] Batch [0249]/[3760] Speed: 65.132016 samples/sec accuracy=62.587500 loss=1.543219 lr=0.012664 Epoch[158] Batch [0299]/[3760] Speed: 64.285471 samples/sec accuracy=62.437500 loss=1.543645 lr=0.012655 Epoch[158] Batch [0349]/[3760] Speed: 65.425668 samples/sec accuracy=62.437500 loss=1.540123 lr=0.012647 Epoch[158] Batch [0399]/[3760] Speed: 63.712637 samples/sec accuracy=62.589844 loss=1.534922 lr=0.012638 Epoch[158] Batch [0449]/[3760] Speed: 65.217512 samples/sec accuracy=62.562500 loss=1.536545 lr=0.012630 Epoch[158] Batch [0499]/[3760] Speed: 65.307322 samples/sec accuracy=62.584375 loss=1.533659 lr=0.012621 Epoch[158] Batch [0549]/[3760] Speed: 65.550398 samples/sec accuracy=62.573864 loss=1.536260 lr=0.012613 Epoch[158] Batch [0599]/[3760] Speed: 65.463137 samples/sec accuracy=62.651042 loss=1.535450 lr=0.012604 Epoch[158] Batch [0649]/[3760] Speed: 64.060621 samples/sec accuracy=62.711538 loss=1.532064 lr=0.012596 Epoch[158] Batch [0699]/[3760] Speed: 65.247336 samples/sec accuracy=62.703125 loss=1.533989 lr=0.012587 Epoch[158] Batch [0749]/[3760] Speed: 65.477359 samples/sec accuracy=62.777083 loss=1.531731 lr=0.012579 Epoch[158] Batch [0799]/[3760] Speed: 65.236551 samples/sec accuracy=62.767578 loss=1.533541 lr=0.012570 Epoch[158] Batch [0849]/[3760] Speed: 64.963696 samples/sec accuracy=62.794118 loss=1.531359 lr=0.012562 Epoch[158] Batch [0899]/[3760] Speed: 64.669550 samples/sec accuracy=62.739583 loss=1.532389 lr=0.012553 Epoch[158] Batch [0949]/[3760] Speed: 65.570346 samples/sec accuracy=62.692434 loss=1.532832 lr=0.012545 Epoch[158] Batch [0999]/[3760] Speed: 65.042357 samples/sec accuracy=62.731250 loss=1.530371 lr=0.012536 Epoch[158] Batch [1049]/[3760] Speed: 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lr=0.012132 Epoch[158] Batch [3449]/[3760] Speed: 65.639635 samples/sec accuracy=62.187047 loss=1.558362 lr=0.012123 Epoch[158] Batch [3499]/[3760] Speed: 65.176667 samples/sec accuracy=62.195982 loss=1.558611 lr=0.012115 Epoch[158] Batch [3549]/[3760] Speed: 65.751064 samples/sec accuracy=62.167694 loss=1.559900 lr=0.012106 Epoch[158] Batch [3599]/[3760] Speed: 65.338711 samples/sec accuracy=62.177951 loss=1.559882 lr=0.012098 Epoch[158] Batch [3649]/[3760] Speed: 63.882981 samples/sec accuracy=62.153682 loss=1.561008 lr=0.012090 Epoch[158] Batch [3699]/[3760] Speed: 65.587338 samples/sec accuracy=62.172297 loss=1.560575 lr=0.012081 Epoch[158] Batch [3749]/[3760] Speed: 68.075064 samples/sec accuracy=62.157500 loss=1.560868 lr=0.012073 Batch [0049]/[0303]: acc-top1=58.875000 acc-top5=81.718750 Batch [0099]/[0303]: acc-top1=59.750000 acc-top5=82.531250 Batch [0149]/[0303]: acc-top1=59.812500 acc-top5=82.364583 Batch [0199]/[0303]: acc-top1=59.804688 acc-top5=82.585938 Batch [0249]/[0303]: acc-top1=60.131250 acc-top5=82.625000 Batch [0299]/[0303]: acc-top1=59.973958 acc-top5=82.713542 [Epoch 158] training: accuracy=62.155502 loss=1.560975 [Epoch 158] speed: 64 samples/sec time cost: 3995.077933 [Epoch 158] validation: acc-top1=59.978342 acc-top5=82.693894 loss=1.893925 Epoch[159] Batch [0049]/[3760] Speed: 43.683513 samples/sec accuracy=63.781250 loss=1.527264 lr=0.012063 Epoch[159] Batch [0099]/[3760] Speed: 63.403078 samples/sec accuracy=63.156250 loss=1.546008 lr=0.012055 Epoch[159] Batch [0149]/[3760] Speed: 62.803582 samples/sec accuracy=63.114583 loss=1.543344 lr=0.012046 Epoch[159] Batch [0199]/[3760] Speed: 63.522652 samples/sec accuracy=62.843750 loss=1.540470 lr=0.012038 Epoch[159] Batch [0249]/[3760] Speed: 65.889282 samples/sec accuracy=62.731250 loss=1.544602 lr=0.012030 Epoch[159] Batch [0299]/[3760] Speed: 63.700608 samples/sec accuracy=62.614583 loss=1.548395 lr=0.012021 Epoch[159] Batch [0349]/[3760] Speed: 65.511356 samples/sec accuracy=62.906250 loss=1.534464 lr=0.012013 Epoch[159] Batch [0399]/[3760] Speed: 63.093256 samples/sec accuracy=62.804688 loss=1.540254 lr=0.012005 Epoch[159] Batch [0449]/[3760] Speed: 66.105992 samples/sec accuracy=62.791667 loss=1.540902 lr=0.011996 Epoch[159] Batch [0499]/[3760] Speed: 64.557018 samples/sec accuracy=62.915625 loss=1.535417 lr=0.011988 Epoch[159] Batch [0549]/[3760] Speed: 65.379439 samples/sec accuracy=62.855114 loss=1.536297 lr=0.011980 Epoch[159] Batch [0599]/[3760] Speed: 65.010507 samples/sec accuracy=62.966146 loss=1.533979 lr=0.011971 Epoch[159] Batch [0649]/[3760] Speed: 65.509311 samples/sec accuracy=62.826923 loss=1.538693 lr=0.011963 Epoch[159] Batch [0699]/[3760] Speed: 64.083610 samples/sec accuracy=62.738839 loss=1.542377 lr=0.011955 Epoch[159] Batch [0749]/[3760] Speed: 65.226896 samples/sec accuracy=62.708333 loss=1.542750 lr=0.011946 Epoch[159] Batch [0799]/[3760] Speed: 65.427695 samples/sec accuracy=62.724609 loss=1.542344 lr=0.011938 Epoch[159] 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accuracy=62.667067 loss=1.535457 lr=0.011855 Epoch[159] Batch [1349]/[3760] Speed: 65.230229 samples/sec accuracy=62.623843 loss=1.537735 lr=0.011847 Epoch[159] Batch [1399]/[3760] Speed: 65.652208 samples/sec accuracy=62.629464 loss=1.537806 lr=0.011838 Epoch[159] Batch [1449]/[3760] Speed: 65.458444 samples/sec accuracy=62.657328 loss=1.536504 lr=0.011830 Epoch[159] Batch [1499]/[3760] Speed: 64.447225 samples/sec accuracy=62.664583 loss=1.536883 lr=0.011822 Epoch[159] Batch [1549]/[3760] Speed: 65.426636 samples/sec accuracy=62.654234 loss=1.536275 lr=0.011814 Epoch[159] Batch [1599]/[3760] Speed: 65.464811 samples/sec accuracy=62.606445 loss=1.538899 lr=0.011805 Epoch[159] Batch [1649]/[3760] Speed: 64.915664 samples/sec accuracy=62.577652 loss=1.540686 lr=0.011797 Epoch[159] Batch [1699]/[3760] Speed: 65.913694 samples/sec accuracy=62.541360 loss=1.542373 lr=0.011789 Epoch[159] Batch [1749]/[3760] Speed: 64.444187 samples/sec accuracy=62.537500 loss=1.541602 lr=0.011781 Epoch[159] 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accuracy=62.561806 loss=1.540984 lr=0.011698 Epoch[159] Batch [2299]/[3760] Speed: 65.871668 samples/sec accuracy=62.542120 loss=1.541736 lr=0.011690 Epoch[159] Batch [2349]/[3760] Speed: 65.341726 samples/sec accuracy=62.547872 loss=1.541648 lr=0.011682 Epoch[159] Batch [2399]/[3760] Speed: 65.381994 samples/sec accuracy=62.562500 loss=1.541546 lr=0.011673 Epoch[159] Batch [2449]/[3760] Speed: 65.257192 samples/sec accuracy=62.560587 loss=1.541158 lr=0.011665 Epoch[159] Batch [2499]/[3760] Speed: 65.300031 samples/sec accuracy=62.544375 loss=1.542266 lr=0.011657 Epoch[159] Batch [2549]/[3760] Speed: 64.952066 samples/sec accuracy=62.531863 loss=1.543195 lr=0.011649 Epoch[159] Batch [2599]/[3760] Speed: 65.375428 samples/sec accuracy=62.531851 loss=1.543442 lr=0.011640 Epoch[159] Batch [2649]/[3760] Speed: 65.388305 samples/sec accuracy=62.541274 loss=1.543138 lr=0.011632 Epoch[159] Batch [2699]/[3760] Speed: 65.367725 samples/sec accuracy=62.546296 loss=1.542184 lr=0.011624 Epoch[159] 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accuracy=62.513672 loss=1.544466 lr=0.011542 Epoch[159] Batch [3249]/[3760] Speed: 65.121562 samples/sec accuracy=62.505769 loss=1.544625 lr=0.011534 Epoch[159] Batch [3299]/[3760] Speed: 65.359522 samples/sec accuracy=62.517045 loss=1.543873 lr=0.011526 Epoch[159] Batch [3349]/[3760] Speed: 64.357312 samples/sec accuracy=62.497201 loss=1.544762 lr=0.011517 Epoch[159] Batch [3399]/[3760] Speed: 65.282685 samples/sec accuracy=62.494485 loss=1.544616 lr=0.011509 Epoch[159] Batch [3449]/[3760] Speed: 65.322078 samples/sec accuracy=62.499094 loss=1.544399 lr=0.011501 Epoch[159] Batch [3499]/[3760] Speed: 65.334828 samples/sec accuracy=62.504018 loss=1.544189 lr=0.011493 Epoch[159] Batch [3549]/[3760] Speed: 65.297120 samples/sec accuracy=62.487236 loss=1.544956 lr=0.011485 Epoch[159] Batch [3599]/[3760] Speed: 64.192271 samples/sec accuracy=62.473090 loss=1.545456 lr=0.011477 Epoch[159] Batch [3649]/[3760] Speed: 65.311070 samples/sec accuracy=62.470890 loss=1.545501 lr=0.011468 Epoch[159] Batch [3699]/[3760] Speed: 65.110057 samples/sec accuracy=62.461571 loss=1.545895 lr=0.011460 Epoch[159] Batch [3749]/[3760] Speed: 68.466531 samples/sec accuracy=62.463750 loss=1.546067 lr=0.011452 Batch [0049]/[0303]: acc-top1=58.750000 acc-top5=81.625000 Batch [0099]/[0303]: acc-top1=59.796875 acc-top5=82.171875 Batch [0149]/[0303]: acc-top1=59.614583 acc-top5=82.260417 Batch [0199]/[0303]: acc-top1=59.789062 acc-top5=82.343750 Batch [0249]/[0303]: acc-top1=60.206250 acc-top5=82.550000 Batch [0299]/[0303]: acc-top1=60.161458 acc-top5=82.625000 [Epoch 159] training: accuracy=62.463015 loss=1.545913 [Epoch 159] speed: 64 samples/sec time cost: 3994.104694 [Epoch 159] validation: acc-top1=60.148515 acc-top5=82.580446 loss=1.829214 Epoch[160] Batch [0049]/[3759] Speed: 43.447374 samples/sec accuracy=62.750000 loss=1.553908 lr=0.011442 Epoch[160] Batch [0099]/[3759] Speed: 62.566021 samples/sec accuracy=62.562500 loss=1.538011 lr=0.011434 Epoch[160] Batch [0149]/[3759] Speed: 64.678160 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65.145677 samples/sec accuracy=63.006860 loss=1.518232 lr=0.011118 Epoch[160] Batch [2099]/[3759] Speed: 64.024539 samples/sec accuracy=63.014137 loss=1.518272 lr=0.011110 Epoch[160] Batch [2149]/[3759] Speed: 65.829202 samples/sec accuracy=62.986919 loss=1.519224 lr=0.011102 Epoch[160] Batch [2199]/[3759] Speed: 64.960343 samples/sec accuracy=63.009943 loss=1.517897 lr=0.011094 Epoch[160] Batch [2249]/[3759] Speed: 65.474073 samples/sec accuracy=63.016667 loss=1.517768 lr=0.011086 Epoch[160] Batch [2299]/[3759] Speed: 65.395341 samples/sec accuracy=63.032609 loss=1.518076 lr=0.011078 Epoch[160] Batch [2349]/[3759] Speed: 63.776052 samples/sec accuracy=63.037899 loss=1.518444 lr=0.011070 Epoch[160] Batch [2399]/[3759] Speed: 65.907918 samples/sec accuracy=63.014974 loss=1.519444 lr=0.011062 Epoch[160] Batch [2449]/[3759] Speed: 64.777312 samples/sec accuracy=62.991071 loss=1.520930 lr=0.011054 Epoch[160] Batch [2499]/[3759] Speed: 65.289614 samples/sec accuracy=62.969375 loss=1.521683 lr=0.011046 Epoch[160] Batch [2549]/[3759] Speed: 65.851908 samples/sec accuracy=62.983456 loss=1.520746 lr=0.011038 Epoch[160] Batch [2599]/[3759] Speed: 63.624773 samples/sec accuracy=62.980769 loss=1.521774 lr=0.011030 Epoch[160] Batch [2649]/[3759] Speed: 66.550532 samples/sec accuracy=62.979363 loss=1.522040 lr=0.011021 Epoch[160] Batch [2699]/[3759] Speed: 65.628738 samples/sec accuracy=62.975116 loss=1.522281 lr=0.011013 Epoch[160] Batch [2749]/[3759] Speed: 65.136218 samples/sec accuracy=62.994886 loss=1.521401 lr=0.011005 Epoch[160] Batch [2799]/[3759] Speed: 64.867522 samples/sec accuracy=62.965960 loss=1.521458 lr=0.010997 Epoch[160] Batch [2849]/[3759] Speed: 65.230092 samples/sec accuracy=62.949561 loss=1.522374 lr=0.010989 Epoch[160] Batch [2899]/[3759] Speed: 64.500883 samples/sec accuracy=62.954203 loss=1.521996 lr=0.010981 Epoch[160] Batch [2949]/[3759] Speed: 65.021227 samples/sec accuracy=62.944915 loss=1.522235 lr=0.010973 Epoch[160] Batch [2999]/[3759] Speed: 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lr=0.010893 Epoch[160] Batch [3499]/[3759] Speed: 65.309805 samples/sec accuracy=62.936161 loss=1.521966 lr=0.010885 Epoch[160] Batch [3549]/[3759] Speed: 65.359470 samples/sec accuracy=62.940581 loss=1.521857 lr=0.010877 Epoch[160] Batch [3599]/[3759] Speed: 65.244060 samples/sec accuracy=62.940972 loss=1.522107 lr=0.010870 Epoch[160] Batch [3649]/[3759] Speed: 64.494157 samples/sec accuracy=62.945205 loss=1.521748 lr=0.010862 Epoch[160] Batch [3699]/[3759] Speed: 65.321674 samples/sec accuracy=62.961571 loss=1.521173 lr=0.010854 Epoch[160] Batch [3749]/[3759] Speed: 68.741488 samples/sec accuracy=62.952917 loss=1.521932 lr=0.010846 Batch [0049]/[0303]: acc-top1=59.781250 acc-top5=81.812500 Batch [0099]/[0303]: acc-top1=61.046875 acc-top5=82.156250 Batch [0149]/[0303]: acc-top1=60.437500 acc-top5=82.427083 Batch [0199]/[0303]: acc-top1=60.500000 acc-top5=82.726562 Batch [0249]/[0303]: acc-top1=60.668750 acc-top5=82.993750 Batch [0299]/[0303]: acc-top1=60.645833 acc-top5=83.098958 [Epoch 160] training: accuracy=62.951417 loss=1.521969 [Epoch 160] speed: 64 samples/sec time cost: 3991.648151 [Epoch 160] validation: acc-top1=60.679662 acc-top5=83.096122 loss=1.824544 Epoch[161] Batch [0049]/[3760] Speed: 43.011065 samples/sec accuracy=63.312500 loss=1.481214 lr=0.010836 Epoch[161] Batch [0099]/[3760] Speed: 63.566471 samples/sec accuracy=63.109375 loss=1.511476 lr=0.010828 Epoch[161] Batch [0149]/[3760] Speed: 64.018763 samples/sec accuracy=62.781250 loss=1.526368 lr=0.010820 Epoch[161] Batch [0199]/[3760] Speed: 64.239376 samples/sec accuracy=63.085938 loss=1.511391 lr=0.010812 Epoch[161] Batch [0249]/[3760] Speed: 64.892848 samples/sec accuracy=63.418750 loss=1.497919 lr=0.010804 Epoch[161] Batch [0299]/[3760] Speed: 64.105562 samples/sec accuracy=63.338542 loss=1.500222 lr=0.010796 Epoch[161] Batch [0349]/[3760] Speed: 65.733526 samples/sec accuracy=63.415179 loss=1.493682 lr=0.010788 Epoch[161] Batch [0399]/[3760] Speed: 62.298781 samples/sec accuracy=63.550781 loss=1.486777 lr=0.010781 Epoch[161] Batch [0449]/[3760] Speed: 65.247045 samples/sec accuracy=63.472222 loss=1.487369 lr=0.010773 Epoch[161] Batch [0499]/[3760] Speed: 64.215042 samples/sec accuracy=63.559375 loss=1.485431 lr=0.010765 Epoch[161] Batch [0549]/[3760] Speed: 65.742130 samples/sec accuracy=63.661932 loss=1.481538 lr=0.010757 Epoch[161] Batch [0599]/[3760] Speed: 63.914122 samples/sec accuracy=63.674479 loss=1.482273 lr=0.010749 Epoch[161] Batch [0649]/[3760] Speed: 63.837079 samples/sec accuracy=63.733173 loss=1.480715 lr=0.010741 Epoch[161] Batch [0699]/[3760] Speed: 64.155221 samples/sec accuracy=63.696429 loss=1.478558 lr=0.010733 Epoch[161] Batch [0749]/[3760] Speed: 64.853687 samples/sec accuracy=63.652083 loss=1.480818 lr=0.010725 Epoch[161] Batch [0799]/[3760] Speed: 64.361804 samples/sec accuracy=63.746094 loss=1.479677 lr=0.010717 Epoch[161] Batch [0849]/[3760] Speed: 64.590587 samples/sec accuracy=63.729779 loss=1.481403 lr=0.010709 Epoch[161] Batch [0899]/[3760] Speed: 64.089595 samples/sec accuracy=63.727431 loss=1.482611 lr=0.010701 Epoch[161] Batch [0949]/[3760] Speed: 64.350970 samples/sec accuracy=63.750000 loss=1.481461 lr=0.010693 Epoch[161] Batch [0999]/[3760] Speed: 65.049278 samples/sec accuracy=63.657812 loss=1.485108 lr=0.010685 Epoch[161] Batch [1049]/[3760] Speed: 64.928096 samples/sec accuracy=63.694940 loss=1.483879 lr=0.010677 Epoch[161] Batch [1099]/[3760] Speed: 65.661093 samples/sec accuracy=63.718750 loss=1.484437 lr=0.010670 Epoch[161] Batch [1149]/[3760] Speed: 64.004181 samples/sec accuracy=63.747283 loss=1.484020 lr=0.010662 Epoch[161] Batch [1199]/[3760] Speed: 65.511989 samples/sec accuracy=63.704427 loss=1.485750 lr=0.010654 Epoch[161] Batch [1249]/[3760] Speed: 65.725026 samples/sec accuracy=63.728750 loss=1.484572 lr=0.010646 Epoch[161] Batch [1299]/[3760] Speed: 65.834877 samples/sec accuracy=63.692308 loss=1.484713 lr=0.010638 Epoch[161] Batch [1349]/[3760] Speed: 65.297044 samples/sec accuracy=63.571759 loss=1.488401 lr=0.010630 Epoch[161] Batch [1399]/[3760] Speed: 65.412407 samples/sec accuracy=63.502232 loss=1.491309 lr=0.010622 Epoch[161] Batch [1449]/[3760] Speed: 65.434101 samples/sec accuracy=63.532328 loss=1.490435 lr=0.010614 Epoch[161] Batch [1499]/[3760] Speed: 65.951664 samples/sec accuracy=63.475000 loss=1.492977 lr=0.010606 Epoch[161] Batch [1549]/[3760] Speed: 65.325068 samples/sec accuracy=63.534274 loss=1.491968 lr=0.010598 Epoch[161] Batch [1599]/[3760] Speed: 65.878683 samples/sec accuracy=63.561523 loss=1.491257 lr=0.010591 Epoch[161] Batch [1649]/[3760] Speed: 64.330855 samples/sec accuracy=63.574811 loss=1.490946 lr=0.010583 Epoch[161] Batch [1699]/[3760] Speed: 66.084072 samples/sec accuracy=63.535846 loss=1.492432 lr=0.010575 Epoch[161] Batch [1749]/[3760] Speed: 65.208155 samples/sec accuracy=63.517857 loss=1.492769 lr=0.010567 Epoch[161] Batch [1799]/[3760] Speed: 65.377208 samples/sec accuracy=63.498264 loss=1.493624 lr=0.010559 Epoch[161] Batch [1849]/[3760] Speed: 65.649988 samples/sec accuracy=63.521115 loss=1.493333 lr=0.010551 Epoch[161] Batch [1899]/[3760] Speed: 64.773656 samples/sec accuracy=63.524671 loss=1.493214 lr=0.010543 Epoch[161] Batch [1949]/[3760] Speed: 66.158667 samples/sec accuracy=63.536859 loss=1.493562 lr=0.010535 Epoch[161] Batch [1999]/[3760] Speed: 65.832269 samples/sec accuracy=63.535937 loss=1.493839 lr=0.010528 Epoch[161] Batch [2049]/[3760] Speed: 65.255789 samples/sec accuracy=63.552591 loss=1.493606 lr=0.010520 Epoch[161] Batch [2099]/[3760] Speed: 65.366405 samples/sec accuracy=63.561756 loss=1.493702 lr=0.010512 Epoch[161] Batch [2149]/[3760] Speed: 64.544638 samples/sec accuracy=63.577035 loss=1.493497 lr=0.010504 Epoch[161] Batch [2199]/[3760] Speed: 65.981631 samples/sec accuracy=63.561080 loss=1.494452 lr=0.010496 Epoch[161] Batch [2249]/[3760] Speed: 65.580562 samples/sec accuracy=63.586806 loss=1.493656 lr=0.010488 Epoch[161] Batch [2299]/[3760] Speed: 65.619325 samples/sec accuracy=63.572011 loss=1.493900 lr=0.010480 Epoch[161] Batch [2349]/[3760] Speed: 66.214873 samples/sec accuracy=63.553191 loss=1.494706 lr=0.010473 Epoch[161] Batch [2399]/[3760] Speed: 64.016588 samples/sec accuracy=63.521484 loss=1.496508 lr=0.010465 Epoch[161] Batch [2449]/[3760] Speed: 66.258035 samples/sec accuracy=63.515944 loss=1.496060 lr=0.010457 Epoch[161] Batch [2499]/[3760] Speed: 65.792965 samples/sec accuracy=63.501250 loss=1.496571 lr=0.010449 Epoch[161] Batch [2549]/[3760] Speed: 65.859974 samples/sec accuracy=63.484681 loss=1.497671 lr=0.010441 Epoch[161] Batch [2599]/[3760] Speed: 65.167391 samples/sec accuracy=63.471154 loss=1.497855 lr=0.010433 Epoch[161] Batch [2649]/[3760] Speed: 65.918773 samples/sec accuracy=63.437500 loss=1.499333 lr=0.010426 Epoch[161] Batch [2699]/[3760] Speed: 64.392401 samples/sec accuracy=63.434028 loss=1.499156 lr=0.010418 Epoch[161] Batch [2749]/[3760] Speed: 65.909772 samples/sec accuracy=63.430682 loss=1.499597 lr=0.010410 Epoch[161] Batch [2799]/[3760] Speed: 65.446843 samples/sec accuracy=63.443080 loss=1.499598 lr=0.010402 Epoch[161] Batch [2849]/[3760] Speed: 65.872136 samples/sec accuracy=63.423794 loss=1.500103 lr=0.010394 Epoch[161] Batch [2899]/[3760] Speed: 65.418739 samples/sec accuracy=63.420259 loss=1.500578 lr=0.010386 Epoch[161] Batch [2949]/[3760] Speed: 64.838710 samples/sec accuracy=63.415254 loss=1.500811 lr=0.010379 Epoch[161] Batch [2999]/[3760] Speed: 65.842355 samples/sec accuracy=63.391146 loss=1.501693 lr=0.010371 Epoch[161] Batch [3049]/[3760] Speed: 65.626709 samples/sec accuracy=63.396004 loss=1.502229 lr=0.010363 Epoch[161] Batch [3099]/[3760] Speed: 65.428613 samples/sec accuracy=63.385585 loss=1.503219 lr=0.010355 Epoch[161] Batch [3149]/[3760] Speed: 65.053403 samples/sec accuracy=63.380952 loss=1.503211 lr=0.010347 Epoch[161] Batch [3199]/[3760] Speed: 64.463013 samples/sec accuracy=63.363281 loss=1.503494 lr=0.010340 Epoch[161] Batch [3249]/[3760] Speed: 65.280956 samples/sec accuracy=63.371635 loss=1.503737 lr=0.010332 Epoch[161] Batch [3299]/[3760] Speed: 65.876475 samples/sec accuracy=63.378788 loss=1.503945 lr=0.010324 Epoch[161] Batch [3349]/[3760] Speed: 65.553223 samples/sec accuracy=63.388060 loss=1.503716 lr=0.010316 Epoch[161] Batch [3399]/[3760] Speed: 65.715537 samples/sec accuracy=63.371324 loss=1.504372 lr=0.010308 Epoch[161] Batch [3449]/[3760] Speed: 64.333456 samples/sec accuracy=63.358696 loss=1.504654 lr=0.010301 Epoch[161] Batch [3499]/[3760] Speed: 65.655753 samples/sec accuracy=63.375000 loss=1.504261 lr=0.010293 Epoch[161] Batch [3549]/[3760] Speed: 65.148225 samples/sec accuracy=63.367077 loss=1.504908 lr=0.010285 Epoch[161] Batch [3599]/[3760] Speed: 65.742076 samples/sec accuracy=63.353299 loss=1.505694 lr=0.010277 Epoch[161] Batch [3649]/[3760] Speed: 65.287861 samples/sec accuracy=63.360017 loss=1.505122 lr=0.010270 Epoch[161] Batch [3699]/[3760] Speed: 65.038632 samples/sec accuracy=63.348395 loss=1.505774 lr=0.010262 Epoch[161] Batch [3749]/[3760] Speed: 68.774411 samples/sec accuracy=63.346667 loss=1.505929 lr=0.010254 Batch [0049]/[0303]: acc-top1=59.593750 acc-top5=82.000000 Batch [0099]/[0303]: acc-top1=60.140625 acc-top5=82.281250 Batch [0149]/[0303]: acc-top1=60.552083 acc-top5=82.489583 Batch [0199]/[0303]: acc-top1=60.750000 acc-top5=82.742188 Batch [0249]/[0303]: acc-top1=61.125000 acc-top5=83.000000 Batch [0299]/[0303]: acc-top1=61.098958 acc-top5=82.994792 [Epoch 161] training: accuracy=63.344830 loss=1.506080 [Epoch 161] speed: 64 samples/sec time cost: 3992.046802 [Epoch 161] validation: acc-top1=61.107673 acc-top5=82.972360 loss=1.821215 Epoch[162] Batch [0049]/[3759] Speed: 43.481999 samples/sec accuracy=66.593750 loss=1.396333 lr=0.010245 Epoch[162] Batch [0099]/[3759] Speed: 63.366529 samples/sec accuracy=65.062500 loss=1.435740 lr=0.010237 Epoch[162] Batch [0149]/[3759] Speed: 64.409881 samples/sec accuracy=64.875000 loss=1.443649 lr=0.010229 Epoch[162] Batch [0199]/[3759] Speed: 62.792665 samples/sec accuracy=65.101562 loss=1.427035 lr=0.010221 Epoch[162] Batch [0249]/[3759] Speed: 65.116598 samples/sec accuracy=64.837500 loss=1.442223 lr=0.010214 Epoch[162] Batch [0299]/[3759] Speed: 63.777554 samples/sec accuracy=64.598958 loss=1.451835 lr=0.010206 Epoch[162] Batch [0349]/[3759] Speed: 65.511030 samples/sec accuracy=64.651786 loss=1.449657 lr=0.010198 Epoch[162] Batch [0399]/[3759] Speed: 63.777815 samples/sec accuracy=64.695312 loss=1.446133 lr=0.010190 Epoch[162] Batch [0449]/[3759] Speed: 64.183735 samples/sec accuracy=64.725694 loss=1.445671 lr=0.010183 Epoch[162] Batch [0499]/[3759] Speed: 64.101968 samples/sec accuracy=64.568750 loss=1.455634 lr=0.010175 Epoch[162] Batch [0549]/[3759] Speed: 65.058050 samples/sec accuracy=64.579545 loss=1.454560 lr=0.010167 Epoch[162] Batch [0599]/[3759] Speed: 64.010902 samples/sec accuracy=64.627604 loss=1.454853 lr=0.010159 Epoch[162] Batch [0649]/[3759] Speed: 65.287006 samples/sec accuracy=64.540865 loss=1.454779 lr=0.010152 Epoch[162] Batch [0699]/[3759] Speed: 64.127695 samples/sec accuracy=64.578125 loss=1.454549 lr=0.010144 Epoch[162] Batch [0749]/[3759] Speed: 64.212161 samples/sec accuracy=64.543750 loss=1.456168 lr=0.010136 Epoch[162] Batch [0799]/[3759] Speed: 64.738519 samples/sec accuracy=64.572266 loss=1.455398 lr=0.010128 Epoch[162] Batch [0849]/[3759] Speed: 65.248854 samples/sec accuracy=64.490809 loss=1.457586 lr=0.010121 Epoch[162] Batch [0899]/[3759] Speed: 65.378180 samples/sec accuracy=64.421875 loss=1.460336 lr=0.010113 Epoch[162] Batch [0949]/[3759] Speed: 64.745438 samples/sec accuracy=64.396382 loss=1.459763 lr=0.010105 Epoch[162] Batch [0999]/[3759] Speed: 64.466692 samples/sec accuracy=64.378125 loss=1.460352 lr=0.010098 Epoch[162] Batch [1049]/[3759] Speed: 64.902152 samples/sec accuracy=64.352679 loss=1.460053 lr=0.010090 Epoch[162] Batch [1099]/[3759] Speed: 65.402791 samples/sec accuracy=64.294034 loss=1.461238 lr=0.010082 Epoch[162] Batch [1149]/[3759] Speed: 65.039136 samples/sec accuracy=64.290761 loss=1.461100 lr=0.010074 Epoch[162] Batch [1199]/[3759] Speed: 65.699332 samples/sec accuracy=64.256510 loss=1.463388 lr=0.010067 Epoch[162] Batch [1249]/[3759] Speed: 62.795539 samples/sec accuracy=64.206250 loss=1.464912 lr=0.010059 Epoch[162] Batch [1299]/[3759] Speed: 66.342391 samples/sec accuracy=64.215144 loss=1.465378 lr=0.010051 Epoch[162] Batch [1349]/[3759] Speed: 64.533435 samples/sec accuracy=64.128472 loss=1.469521 lr=0.010044 Epoch[162] Batch [1399]/[3759] Speed: 65.805270 samples/sec accuracy=64.137277 loss=1.469597 lr=0.010036 Epoch[162] Batch [1449]/[3759] Speed: 64.110369 samples/sec accuracy=64.130388 loss=1.468629 lr=0.010028 Epoch[162] Batch [1499]/[3759] Speed: 65.516781 samples/sec accuracy=64.147917 loss=1.467674 lr=0.010021 Epoch[162] Batch [1549]/[3759] Speed: 63.752199 samples/sec accuracy=64.056452 loss=1.471320 lr=0.010013 Epoch[162] Batch [1599]/[3759] Speed: 65.621634 samples/sec accuracy=64.108398 loss=1.471006 lr=0.010005 Epoch[162] Batch [1649]/[3759] Speed: 64.722175 samples/sec accuracy=64.072917 loss=1.471815 lr=0.009998 Epoch[162] Batch [1699]/[3759] Speed: 66.020722 samples/sec accuracy=64.096507 loss=1.472604 lr=0.009990 Epoch[162] Batch [1749]/[3759] Speed: 64.876737 samples/sec accuracy=64.038393 loss=1.474549 lr=0.009982 Epoch[162] Batch [1799]/[3759] Speed: 64.636243 samples/sec accuracy=64.026910 loss=1.474707 lr=0.009974 Epoch[162] Batch [1849]/[3759] Speed: 65.194278 samples/sec accuracy=64.035473 loss=1.473579 lr=0.009967 Epoch[162] Batch [1899]/[3759] Speed: 65.443473 samples/sec accuracy=64.040296 loss=1.473335 lr=0.009959 Epoch[162] Batch [1949]/[3759] Speed: 65.020350 samples/sec accuracy=64.038462 loss=1.473837 lr=0.009951 Epoch[162] Batch [1999]/[3759] Speed: 65.040458 samples/sec accuracy=64.006250 loss=1.475723 lr=0.009944 Epoch[162] Batch [2049]/[3759] Speed: 63.793088 samples/sec accuracy=64.022866 loss=1.476285 lr=0.009936 Epoch[162] Batch [2099]/[3759] Speed: 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lr=0.009860 Epoch[162] Batch [2599]/[3759] Speed: 63.579873 samples/sec accuracy=64.046875 loss=1.477186 lr=0.009852 Epoch[162] Batch [2649]/[3759] Speed: 65.754552 samples/sec accuracy=64.054835 loss=1.476850 lr=0.009844 Epoch[162] Batch [2699]/[3759] Speed: 64.708496 samples/sec accuracy=64.056713 loss=1.476935 lr=0.009837 Epoch[162] Batch [2749]/[3759] Speed: 65.435137 samples/sec accuracy=64.028977 loss=1.478217 lr=0.009829 Epoch[162] Batch [2799]/[3759] Speed: 64.357607 samples/sec accuracy=64.016741 loss=1.478408 lr=0.009822 Epoch[162] Batch [2849]/[3759] Speed: 65.515171 samples/sec accuracy=64.000548 loss=1.478678 lr=0.009814 Epoch[162] Batch [2899]/[3759] Speed: 63.003914 samples/sec accuracy=64.022629 loss=1.477877 lr=0.009806 Epoch[162] Batch [2949]/[3759] Speed: 65.131852 samples/sec accuracy=64.022246 loss=1.478188 lr=0.009799 Epoch[162] Batch [2999]/[3759] Speed: 64.188093 samples/sec accuracy=64.044792 loss=1.476987 lr=0.009791 Epoch[162] Batch [3049]/[3759] Speed: 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lr=0.009715 Epoch[162] Batch [3549]/[3759] Speed: 63.711936 samples/sec accuracy=63.970951 loss=1.480435 lr=0.009708 Epoch[162] Batch [3599]/[3759] Speed: 65.311663 samples/sec accuracy=63.971788 loss=1.479929 lr=0.009700 Epoch[162] Batch [3649]/[3759] Speed: 64.025888 samples/sec accuracy=63.959760 loss=1.480675 lr=0.009692 Epoch[162] Batch [3699]/[3759] Speed: 64.667734 samples/sec accuracy=63.967483 loss=1.480508 lr=0.009685 Epoch[162] Batch [3749]/[3759] Speed: 68.770059 samples/sec accuracy=63.957500 loss=1.480486 lr=0.009677 Batch [0049]/[0303]: acc-top1=59.968750 acc-top5=81.781250 Batch [0099]/[0303]: acc-top1=60.281250 acc-top5=82.265625 Batch [0149]/[0303]: acc-top1=60.260417 acc-top5=82.385417 Batch [0199]/[0303]: acc-top1=60.226562 acc-top5=82.515625 Batch [0249]/[0303]: acc-top1=60.525000 acc-top5=82.662500 Batch [0299]/[0303]: acc-top1=60.625000 acc-top5=82.723958 [Epoch 162] training: accuracy=63.952348 loss=1.480749 [Epoch 162] speed: 64 samples/sec time cost: 4006.365292 [Epoch 162] validation: acc-top1=60.607467 acc-top5=82.704208 loss=1.845086 Epoch[163] Batch [0049]/[3760] Speed: 43.454258 samples/sec accuracy=65.750000 loss=1.413212 lr=0.009668 Epoch[163] Batch [0099]/[3760] Speed: 63.710636 samples/sec accuracy=64.984375 loss=1.439855 lr=0.009661 Epoch[163] Batch [0149]/[3760] Speed: 64.533022 samples/sec accuracy=64.895833 loss=1.442828 lr=0.009653 Epoch[163] Batch [0199]/[3760] Speed: 62.882380 samples/sec accuracy=65.156250 loss=1.430937 lr=0.009646 Epoch[163] Batch [0249]/[3760] Speed: 65.300149 samples/sec accuracy=65.318750 loss=1.417917 lr=0.009638 Epoch[163] Batch [0299]/[3760] Speed: 64.135951 samples/sec accuracy=65.401042 loss=1.417941 lr=0.009630 Epoch[163] Batch [0349]/[3760] Speed: 65.227496 samples/sec accuracy=65.209821 loss=1.424294 lr=0.009623 Epoch[163] Batch [0399]/[3760] Speed: 64.028315 samples/sec accuracy=65.085938 loss=1.428730 lr=0.009615 Epoch[163] Batch [0449]/[3760] Speed: 64.641080 samples/sec accuracy=65.236111 loss=1.425782 lr=0.009608 Epoch[163] Batch [0499]/[3760] Speed: 64.123150 samples/sec accuracy=65.243750 loss=1.425288 lr=0.009600 Epoch[163] Batch [0549]/[3760] Speed: 65.492360 samples/sec accuracy=65.221591 loss=1.427108 lr=0.009593 Epoch[163] Batch [0599]/[3760] Speed: 64.533374 samples/sec accuracy=65.294271 loss=1.427050 lr=0.009585 Epoch[163] Batch [0649]/[3760] Speed: 65.881903 samples/sec accuracy=65.290865 loss=1.428858 lr=0.009578 Epoch[163] Batch [0699]/[3760] Speed: 63.353228 samples/sec accuracy=65.301339 loss=1.427812 lr=0.009570 Epoch[163] Batch [0749]/[3760] Speed: 65.202921 samples/sec accuracy=65.172917 loss=1.429743 lr=0.009563 Epoch[163] Batch [0799]/[3760] Speed: 64.704784 samples/sec accuracy=65.185547 loss=1.427972 lr=0.009555 Epoch[163] Batch [0849]/[3760] Speed: 64.966893 samples/sec accuracy=65.139706 loss=1.429408 lr=0.009548 Epoch[163] Batch [0899]/[3760] Speed: 64.798875 samples/sec accuracy=65.100694 loss=1.430626 lr=0.009540 Epoch[163] 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accuracy=64.832589 loss=1.435803 lr=0.009465 Epoch[163] Batch [1449]/[3760] Speed: 65.118358 samples/sec accuracy=64.862069 loss=1.435361 lr=0.009457 Epoch[163] Batch [1499]/[3760] Speed: 65.107079 samples/sec accuracy=64.851042 loss=1.436748 lr=0.009450 Epoch[163] Batch [1549]/[3760] Speed: 64.920894 samples/sec accuracy=64.858871 loss=1.436592 lr=0.009442 Epoch[163] Batch [1599]/[3760] Speed: 66.261551 samples/sec accuracy=64.876953 loss=1.436447 lr=0.009435 Epoch[163] Batch [1649]/[3760] Speed: 64.829872 samples/sec accuracy=64.835227 loss=1.438617 lr=0.009428 Epoch[163] Batch [1699]/[3760] Speed: 65.840316 samples/sec accuracy=64.863971 loss=1.437737 lr=0.009420 Epoch[163] Batch [1749]/[3760] Speed: 63.793473 samples/sec accuracy=64.891071 loss=1.437857 lr=0.009413 Epoch[163] Batch [1799]/[3760] Speed: 65.244323 samples/sec accuracy=64.831597 loss=1.438564 lr=0.009405 Epoch[163] Batch [1849]/[3760] Speed: 64.797285 samples/sec accuracy=64.818412 loss=1.439153 lr=0.009398 Epoch[163] 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accuracy=64.717420 loss=1.447889 lr=0.009323 Epoch[163] Batch [2399]/[3760] Speed: 64.560113 samples/sec accuracy=64.735677 loss=1.447354 lr=0.009316 Epoch[163] Batch [2449]/[3760] Speed: 65.163200 samples/sec accuracy=64.725128 loss=1.448272 lr=0.009308 Epoch[163] Batch [2499]/[3760] Speed: 63.247235 samples/sec accuracy=64.731250 loss=1.447963 lr=0.009301 Epoch[163] Batch [2549]/[3760] Speed: 65.738425 samples/sec accuracy=64.698529 loss=1.449210 lr=0.009293 Epoch[163] Batch [2599]/[3760] Speed: 64.508810 samples/sec accuracy=64.710938 loss=1.448948 lr=0.009286 Epoch[163] Batch [2649]/[3760] Speed: 65.226701 samples/sec accuracy=64.698113 loss=1.448986 lr=0.009278 Epoch[163] Batch [2699]/[3760] Speed: 64.240373 samples/sec accuracy=64.686921 loss=1.449632 lr=0.009271 Epoch[163] Batch [2749]/[3760] Speed: 63.943922 samples/sec accuracy=64.682386 loss=1.449736 lr=0.009264 Epoch[163] Batch [2799]/[3760] Speed: 65.297730 samples/sec accuracy=64.678571 loss=1.449775 lr=0.009256 Epoch[163] 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accuracy=64.593750 loss=1.453029 lr=0.009182 Epoch[163] Batch [3349]/[3760] Speed: 65.461739 samples/sec accuracy=64.599813 loss=1.453393 lr=0.009175 Epoch[163] Batch [3399]/[3760] Speed: 65.002452 samples/sec accuracy=64.576746 loss=1.454068 lr=0.009167 Epoch[163] Batch [3449]/[3760] Speed: 64.931612 samples/sec accuracy=64.550272 loss=1.454404 lr=0.009160 Epoch[163] Batch [3499]/[3760] Speed: 65.530989 samples/sec accuracy=64.552232 loss=1.454347 lr=0.009153 Epoch[163] Batch [3549]/[3760] Speed: 64.395346 samples/sec accuracy=64.544454 loss=1.454639 lr=0.009145 Epoch[163] Batch [3599]/[3760] Speed: 65.842648 samples/sec accuracy=64.544705 loss=1.454473 lr=0.009138 Epoch[163] Batch [3649]/[3760] Speed: 65.226395 samples/sec accuracy=64.545377 loss=1.454581 lr=0.009130 Epoch[163] Batch [3699]/[3760] Speed: 65.796143 samples/sec accuracy=64.538429 loss=1.454802 lr=0.009123 Epoch[163] Batch [3749]/[3760] Speed: 68.502746 samples/sec accuracy=64.512917 loss=1.455745 lr=0.009116 Batch [0049]/[0303]: acc-top1=60.593750 acc-top5=83.312500 Batch [0099]/[0303]: acc-top1=60.921875 acc-top5=83.296875 Batch [0149]/[0303]: acc-top1=60.833333 acc-top5=83.260417 Batch [0199]/[0303]: acc-top1=60.929687 acc-top5=83.250000 Batch [0249]/[0303]: acc-top1=61.243750 acc-top5=83.406250 Batch [0299]/[0303]: acc-top1=61.229167 acc-top5=83.562500 [Epoch 163] training: accuracy=64.515043 loss=1.455551 [Epoch 163] speed: 64 samples/sec time cost: 4003.917881 [Epoch 163] validation: acc-top1=61.241749 acc-top5=83.529290 loss=1.796515 Epoch[164] Batch [0049]/[3760] Speed: 43.124269 samples/sec accuracy=64.750000 loss=1.397646 lr=0.009107 Epoch[164] Batch [0099]/[3760] Speed: 62.898871 samples/sec accuracy=65.093750 loss=1.385534 lr=0.009099 Epoch[164] Batch [0149]/[3760] Speed: 64.579043 samples/sec accuracy=65.020833 loss=1.404219 lr=0.009092 Epoch[164] Batch [0199]/[3760] Speed: 63.514155 samples/sec accuracy=65.023438 loss=1.412760 lr=0.009085 Epoch[164] Batch [0249]/[3760] Speed: 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lr=0.008735 Epoch[164] Batch [2649]/[3760] Speed: 65.571720 samples/sec accuracy=65.138561 loss=1.426805 lr=0.008728 Epoch[164] Batch [2699]/[3760] Speed: 65.377924 samples/sec accuracy=65.133681 loss=1.427251 lr=0.008720 Epoch[164] Batch [2749]/[3760] Speed: 64.382476 samples/sec accuracy=65.127273 loss=1.428110 lr=0.008713 Epoch[164] Batch [2799]/[3760] Speed: 65.685758 samples/sec accuracy=65.131696 loss=1.427930 lr=0.008706 Epoch[164] Batch [2849]/[3760] Speed: 65.462811 samples/sec accuracy=65.117325 loss=1.428254 lr=0.008699 Epoch[164] Batch [2899]/[3760] Speed: 65.640496 samples/sec accuracy=65.103987 loss=1.429715 lr=0.008692 Epoch[164] Batch [2949]/[3760] Speed: 65.050549 samples/sec accuracy=65.075212 loss=1.430761 lr=0.008684 Epoch[164] Batch [2999]/[3760] Speed: 65.599460 samples/sec accuracy=65.071875 loss=1.430777 lr=0.008677 Epoch[164] Batch [3049]/[3760] Speed: 64.843431 samples/sec accuracy=65.057889 loss=1.431760 lr=0.008670 Epoch[164] Batch [3099]/[3760] Speed: 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lr=0.008598 Epoch[164] Batch [3599]/[3760] Speed: 66.561286 samples/sec accuracy=65.014323 loss=1.432194 lr=0.008591 Epoch[164] Batch [3649]/[3760] Speed: 65.039922 samples/sec accuracy=64.997860 loss=1.432929 lr=0.008584 Epoch[164] Batch [3699]/[3760] Speed: 65.723855 samples/sec accuracy=64.974662 loss=1.434279 lr=0.008577 Epoch[164] Batch [3749]/[3760] Speed: 68.207777 samples/sec accuracy=64.967500 loss=1.434640 lr=0.008569 Batch [0049]/[0303]: acc-top1=60.156250 acc-top5=82.000000 Batch [0099]/[0303]: acc-top1=61.015625 acc-top5=82.250000 Batch [0149]/[0303]: acc-top1=60.822917 acc-top5=82.552083 Batch [0199]/[0303]: acc-top1=61.148438 acc-top5=82.726562 Batch [0249]/[0303]: acc-top1=61.618750 acc-top5=83.018750 Batch [0299]/[0303]: acc-top1=61.578125 acc-top5=83.078125 [Epoch 164] training: accuracy=64.960522 loss=1.435046 [Epoch 164] speed: 64 samples/sec time cost: 3993.200934 [Epoch 164] validation: acc-top1=61.597566 acc-top5=83.090965 loss=1.808581 Epoch[165] Batch 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accuracy=65.887500 loss=1.393107 lr=0.008496 Epoch[165] Batch [0549]/[3759] Speed: 65.471059 samples/sec accuracy=65.789773 loss=1.397402 lr=0.008489 Epoch[165] Batch [0599]/[3759] Speed: 63.721477 samples/sec accuracy=65.815104 loss=1.398341 lr=0.008482 Epoch[165] Batch [0649]/[3759] Speed: 65.824353 samples/sec accuracy=65.783654 loss=1.405028 lr=0.008475 Epoch[165] Batch [0699]/[3759] Speed: 65.339154 samples/sec accuracy=65.845982 loss=1.403562 lr=0.008468 Epoch[165] Batch [0749]/[3759] Speed: 66.094659 samples/sec accuracy=65.797917 loss=1.405715 lr=0.008461 Epoch[165] Batch [0799]/[3759] Speed: 65.775822 samples/sec accuracy=65.693359 loss=1.407225 lr=0.008454 Epoch[165] Batch [0849]/[3759] Speed: 64.530617 samples/sec accuracy=65.759191 loss=1.404263 lr=0.008447 Epoch[165] Batch [0899]/[3759] Speed: 65.744015 samples/sec accuracy=65.711806 loss=1.403288 lr=0.008439 Epoch[165] Batch [0949]/[3759] Speed: 65.624666 samples/sec accuracy=65.667763 loss=1.404998 lr=0.008432 Epoch[165] 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accuracy=65.870690 loss=1.396737 lr=0.008361 Epoch[165] Batch [1499]/[3759] Speed: 65.653090 samples/sec accuracy=65.817708 loss=1.398052 lr=0.008354 Epoch[165] Batch [1549]/[3759] Speed: 65.644652 samples/sec accuracy=65.797379 loss=1.397696 lr=0.008347 Epoch[165] Batch [1599]/[3759] Speed: 66.131875 samples/sec accuracy=65.748047 loss=1.398374 lr=0.008340 Epoch[165] Batch [1649]/[3759] Speed: 65.056772 samples/sec accuracy=65.771780 loss=1.397237 lr=0.008333 Epoch[165] Batch [1699]/[3759] Speed: 65.605453 samples/sec accuracy=65.789522 loss=1.395704 lr=0.008326 Epoch[165] Batch [1749]/[3759] Speed: 65.313690 samples/sec accuracy=65.758036 loss=1.396706 lr=0.008319 Epoch[165] Batch [1799]/[3759] Speed: 65.873644 samples/sec accuracy=65.740451 loss=1.398216 lr=0.008312 Epoch[165] Batch [1849]/[3759] Speed: 65.669281 samples/sec accuracy=65.728041 loss=1.399378 lr=0.008305 Epoch[165] Batch [1899]/[3759] Speed: 64.905493 samples/sec accuracy=65.727796 loss=1.398512 lr=0.008298 Epoch[165] 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accuracy=65.539714 loss=1.406213 lr=0.008227 Epoch[165] Batch [2449]/[3759] Speed: 65.002119 samples/sec accuracy=65.568878 loss=1.404901 lr=0.008220 Epoch[165] Batch [2499]/[3759] Speed: 65.261608 samples/sec accuracy=65.570000 loss=1.404835 lr=0.008213 Epoch[165] Batch [2549]/[3759] Speed: 66.093653 samples/sec accuracy=65.553922 loss=1.405073 lr=0.008206 Epoch[165] Batch [2599]/[3759] Speed: 65.848399 samples/sec accuracy=65.566106 loss=1.404144 lr=0.008199 Epoch[165] Batch [2649]/[3759] Speed: 65.945151 samples/sec accuracy=65.553656 loss=1.404645 lr=0.008192 Epoch[165] Batch [2699]/[3759] Speed: 64.685066 samples/sec accuracy=65.577546 loss=1.404308 lr=0.008185 Epoch[165] Batch [2749]/[3759] Speed: 65.327836 samples/sec accuracy=65.581818 loss=1.404662 lr=0.008178 Epoch[165] Batch [2799]/[3759] Speed: 65.488173 samples/sec accuracy=65.567522 loss=1.405466 lr=0.008171 Epoch[165] Batch [2849]/[3759] Speed: 65.533335 samples/sec accuracy=65.569627 loss=1.405725 lr=0.008164 Epoch[165] Batch [2899]/[3759] Speed: 65.556560 samples/sec accuracy=65.574892 loss=1.405901 lr=0.008157 Epoch[165] Batch [2949]/[3759] Speed: 64.760173 samples/sec accuracy=65.554025 loss=1.406779 lr=0.008150 Epoch[165] Batch [2999]/[3759] Speed: 65.785613 samples/sec accuracy=65.547396 loss=1.406885 lr=0.008143 Epoch[165] Batch [3049]/[3759] Speed: 65.848538 samples/sec accuracy=65.538934 loss=1.406972 lr=0.008136 Epoch[165] Batch [3099]/[3759] Speed: 65.929885 samples/sec accuracy=65.542843 loss=1.406822 lr=0.008129 Epoch[165] Batch [3149]/[3759] Speed: 65.698708 samples/sec accuracy=65.539683 loss=1.407328 lr=0.008122 Epoch[165] Batch [3199]/[3759] Speed: 64.596654 samples/sec accuracy=65.538086 loss=1.407375 lr=0.008115 Epoch[165] Batch [3249]/[3759] Speed: 66.031040 samples/sec accuracy=65.531250 loss=1.407956 lr=0.008108 Epoch[165] Batch [3299]/[3759] Speed: 65.710713 samples/sec accuracy=65.544981 loss=1.408018 lr=0.008101 Epoch[165] Batch [3349]/[3759] Speed: 66.160170 samples/sec accuracy=65.542910 loss=1.407674 lr=0.008094 Epoch[165] Batch [3399]/[3759] Speed: 65.758271 samples/sec accuracy=65.552390 loss=1.407409 lr=0.008087 Epoch[165] Batch [3449]/[3759] Speed: 64.303185 samples/sec accuracy=65.553442 loss=1.407213 lr=0.008080 Epoch[165] Batch [3499]/[3759] Speed: 66.586876 samples/sec accuracy=65.550000 loss=1.407620 lr=0.008073 Epoch[165] Batch [3549]/[3759] Speed: 65.761478 samples/sec accuracy=65.540933 loss=1.408299 lr=0.008066 Epoch[165] Batch [3599]/[3759] Speed: 65.464019 samples/sec accuracy=65.510417 loss=1.409363 lr=0.008059 Epoch[165] Batch [3649]/[3759] Speed: 66.309302 samples/sec accuracy=65.489726 loss=1.410042 lr=0.008052 Epoch[165] Batch [3699]/[3759] Speed: 65.921524 samples/sec accuracy=65.490287 loss=1.410333 lr=0.008045 Epoch[165] Batch [3749]/[3759] Speed: 68.115857 samples/sec accuracy=65.478333 loss=1.410752 lr=0.008038 Batch [0049]/[0303]: acc-top1=60.218750 acc-top5=82.406250 Batch [0099]/[0303]: acc-top1=60.765625 acc-top5=83.046875 Batch [0149]/[0303]: acc-top1=60.802083 acc-top5=83.083333 Batch [0199]/[0303]: acc-top1=61.125000 acc-top5=83.078125 Batch [0249]/[0303]: acc-top1=61.425000 acc-top5=83.150000 Batch [0299]/[0303]: acc-top1=61.505208 acc-top5=83.270833 [Epoch 165] training: accuracy=65.482841 loss=1.410674 [Epoch 165] speed: 64 samples/sec time cost: 3978.432195 [Epoch 165] validation: acc-top1=61.530528 acc-top5=83.261139 loss=1.787506 Epoch[166] Batch [0049]/[3760] Speed: 44.304795 samples/sec accuracy=67.750000 loss=1.323753 lr=0.008030 Epoch[166] Batch [0099]/[3760] Speed: 63.463695 samples/sec accuracy=67.500000 loss=1.322509 lr=0.008023 Epoch[166] Batch [0149]/[3760] Speed: 64.372065 samples/sec accuracy=66.895833 loss=1.343736 lr=0.008016 Epoch[166] Batch [0199]/[3760] Speed: 64.003309 samples/sec accuracy=66.937500 loss=1.346710 lr=0.008009 Epoch[166] Batch [0249]/[3760] Speed: 64.882574 samples/sec accuracy=66.675000 loss=1.354389 lr=0.008002 Epoch[166] Batch [0299]/[3760] 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accuracy=66.147978 loss=1.383925 lr=0.007802 Epoch[166] Batch [1749]/[3760] Speed: 65.572043 samples/sec accuracy=66.125893 loss=1.383642 lr=0.007796 Epoch[166] Batch [1799]/[3760] Speed: 65.086595 samples/sec accuracy=66.105035 loss=1.384524 lr=0.007789 Epoch[166] Batch [1849]/[3760] Speed: 65.384784 samples/sec accuracy=66.084459 loss=1.385681 lr=0.007782 Epoch[166] Batch [1899]/[3760] Speed: 65.857291 samples/sec accuracy=66.088816 loss=1.384940 lr=0.007775 Epoch[166] Batch [1949]/[3760] Speed: 65.204097 samples/sec accuracy=66.112179 loss=1.383822 lr=0.007768 Epoch[166] Batch [1999]/[3760] Speed: 65.721235 samples/sec accuracy=66.110156 loss=1.383891 lr=0.007761 Epoch[166] Batch [2049]/[3760] Speed: 64.451759 samples/sec accuracy=66.114329 loss=1.383851 lr=0.007754 Epoch[166] Batch [2099]/[3760] Speed: 66.291840 samples/sec accuracy=66.116815 loss=1.383136 lr=0.007748 Epoch[166] Batch [2149]/[3760] Speed: 65.810780 samples/sec accuracy=66.106105 loss=1.383030 lr=0.007741 Epoch[166] 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accuracy=66.045991 loss=1.385613 lr=0.007673 Epoch[166] Batch [2699]/[3760] Speed: 65.898736 samples/sec accuracy=66.057870 loss=1.385823 lr=0.007666 Epoch[166] Batch [2749]/[3760] Speed: 65.960045 samples/sec accuracy=66.052273 loss=1.386127 lr=0.007659 Epoch[166] Batch [2799]/[3760] Speed: 65.102066 samples/sec accuracy=66.068638 loss=1.385552 lr=0.007652 Epoch[166] Batch [2849]/[3760] Speed: 64.694218 samples/sec accuracy=66.043860 loss=1.386150 lr=0.007645 Epoch[166] Batch [2899]/[3760] Speed: 65.428707 samples/sec accuracy=66.038254 loss=1.385992 lr=0.007639 Epoch[166] Batch [2949]/[3760] Speed: 65.916233 samples/sec accuracy=66.036547 loss=1.385942 lr=0.007632 Epoch[166] Batch [2999]/[3760] Speed: 65.274842 samples/sec accuracy=66.021875 loss=1.386619 lr=0.007625 Epoch[166] Batch [3049]/[3760] Speed: 65.322140 samples/sec accuracy=66.024590 loss=1.386354 lr=0.007618 Epoch[166] Batch [3099]/[3760] Speed: 64.172564 samples/sec accuracy=66.013609 loss=1.386380 lr=0.007611 Epoch[166] 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accuracy=66.014757 loss=1.385559 lr=0.007544 Epoch[166] Batch [3649]/[3760] Speed: 64.589225 samples/sec accuracy=66.005993 loss=1.385760 lr=0.007537 Epoch[166] Batch [3699]/[3760] Speed: 65.590940 samples/sec accuracy=66.000845 loss=1.385996 lr=0.007530 Epoch[166] Batch [3749]/[3760] Speed: 68.586828 samples/sec accuracy=65.992083 loss=1.386525 lr=0.007523 Batch [0049]/[0303]: acc-top1=61.125000 acc-top5=83.281250 Batch [0099]/[0303]: acc-top1=62.140625 acc-top5=83.640625 Batch [0149]/[0303]: acc-top1=62.260417 acc-top5=83.593750 Batch [0199]/[0303]: acc-top1=62.250000 acc-top5=83.835938 Batch [0249]/[0303]: acc-top1=62.606250 acc-top5=84.081250 Batch [0299]/[0303]: acc-top1=62.578125 acc-top5=84.078125 [Epoch 166] training: accuracy=65.987367 loss=1.386535 [Epoch 166] speed: 64 samples/sec time cost: 3985.567879 [Epoch 166] validation: acc-top1=62.592822 acc-top5=84.075908 loss=1.761057 Epoch[167] Batch [0049]/[3760] Speed: 43.838254 samples/sec accuracy=68.500000 loss=1.341972 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lr=0.007261 Epoch[167] Batch [1999]/[3760] Speed: 64.205937 samples/sec accuracy=66.765625 loss=1.351886 lr=0.007255 Epoch[167] Batch [2049]/[3760] Speed: 65.865054 samples/sec accuracy=66.746189 loss=1.352560 lr=0.007248 Epoch[167] Batch [2099]/[3760] Speed: 63.257262 samples/sec accuracy=66.729167 loss=1.353360 lr=0.007241 Epoch[167] Batch [2149]/[3760] Speed: 66.044730 samples/sec accuracy=66.688953 loss=1.354516 lr=0.007235 Epoch[167] Batch [2199]/[3760] Speed: 64.965104 samples/sec accuracy=66.669744 loss=1.355585 lr=0.007228 Epoch[167] Batch [2249]/[3760] Speed: 65.810765 samples/sec accuracy=66.643056 loss=1.355918 lr=0.007221 Epoch[167] Batch [2299]/[3760] Speed: 65.163572 samples/sec accuracy=66.682065 loss=1.354812 lr=0.007215 Epoch[167] Batch [2349]/[3760] Speed: 65.031840 samples/sec accuracy=66.683511 loss=1.354448 lr=0.007208 Epoch[167] Batch [2399]/[3760] Speed: 65.057750 samples/sec accuracy=66.673177 loss=1.354692 lr=0.007202 Epoch[167] Batch [2449]/[3760] Speed: 65.557465 samples/sec accuracy=66.686224 loss=1.354358 lr=0.007195 Epoch[167] Batch [2499]/[3760] Speed: 64.992373 samples/sec accuracy=66.692500 loss=1.354234 lr=0.007188 Epoch[167] Batch [2549]/[3760] Speed: 65.651681 samples/sec accuracy=66.684436 loss=1.354660 lr=0.007182 Epoch[167] Batch [2599]/[3760] Speed: 65.230803 samples/sec accuracy=66.659856 loss=1.356036 lr=0.007175 Epoch[167] Batch [2649]/[3760] Speed: 64.737559 samples/sec accuracy=66.642689 loss=1.356491 lr=0.007169 Epoch[167] Batch [2699]/[3760] Speed: 65.004212 samples/sec accuracy=66.656250 loss=1.357121 lr=0.007162 Epoch[167] Batch [2749]/[3760] Speed: 65.765593 samples/sec accuracy=66.631250 loss=1.358076 lr=0.007155 Epoch[167] Batch [2799]/[3760] Speed: 65.682412 samples/sec accuracy=66.623884 loss=1.358467 lr=0.007149 Epoch[167] Batch [2849]/[3760] Speed: 65.402671 samples/sec accuracy=66.643640 loss=1.358189 lr=0.007142 Epoch[167] Batch [2899]/[3760] Speed: 63.837926 samples/sec accuracy=66.614763 loss=1.358992 lr=0.007136 Epoch[167] Batch [2949]/[3760] Speed: 65.631880 samples/sec accuracy=66.629237 loss=1.358766 lr=0.007129 Epoch[167] Batch [2999]/[3760] Speed: 64.648074 samples/sec accuracy=66.610417 loss=1.359341 lr=0.007122 Epoch[167] Batch [3049]/[3760] Speed: 64.731842 samples/sec accuracy=66.604508 loss=1.359563 lr=0.007116 Epoch[167] Batch [3099]/[3760] Speed: 64.821500 samples/sec accuracy=66.586190 loss=1.360531 lr=0.007109 Epoch[167] Batch [3149]/[3760] Speed: 65.006171 samples/sec accuracy=66.570933 loss=1.360736 lr=0.007103 Epoch[167] Batch [3199]/[3760] Speed: 64.490068 samples/sec accuracy=66.569336 loss=1.360978 lr=0.007096 Epoch[167] Batch [3249]/[3760] Speed: 64.952499 samples/sec accuracy=66.586538 loss=1.360671 lr=0.007090 Epoch[167] Batch [3299]/[3760] Speed: 65.298155 samples/sec accuracy=66.598011 loss=1.360690 lr=0.007083 Epoch[167] Batch [3349]/[3760] Speed: 64.225977 samples/sec accuracy=66.597948 loss=1.361039 lr=0.007076 Epoch[167] Batch [3399]/[3760] Speed: 65.723908 samples/sec accuracy=66.563419 loss=1.362705 lr=0.007070 Epoch[167] Batch [3449]/[3760] Speed: 63.396202 samples/sec accuracy=66.565670 loss=1.363343 lr=0.007063 Epoch[167] Batch [3499]/[3760] Speed: 66.060344 samples/sec accuracy=66.553125 loss=1.363625 lr=0.007057 Epoch[167] Batch [3549]/[3760] Speed: 64.850863 samples/sec accuracy=66.549736 loss=1.363702 lr=0.007050 Epoch[167] Batch [3599]/[3760] Speed: 65.465786 samples/sec accuracy=66.548177 loss=1.363528 lr=0.007044 Epoch[167] Batch [3649]/[3760] Speed: 65.024917 samples/sec accuracy=66.526541 loss=1.363984 lr=0.007037 Epoch[167] Batch [3699]/[3760] Speed: 65.738105 samples/sec accuracy=66.513936 loss=1.364369 lr=0.007031 Epoch[167] Batch [3749]/[3760] Speed: 67.745731 samples/sec accuracy=66.499583 loss=1.365065 lr=0.007024 Batch [0049]/[0303]: acc-top1=61.781250 acc-top5=84.281250 Batch [0099]/[0303]: acc-top1=62.218750 acc-top5=83.812500 Batch [0149]/[0303]: acc-top1=62.281250 acc-top5=83.750000 Batch [0199]/[0303]: acc-top1=62.093750 acc-top5=83.679688 Batch [0249]/[0303]: acc-top1=62.425000 acc-top5=83.843750 Batch [0299]/[0303]: acc-top1=62.468750 acc-top5=83.890625 [Epoch 167] training: accuracy=66.496426 loss=1.365145 [Epoch 167] speed: 64 samples/sec time cost: 4014.575611 [Epoch 167] validation: acc-top1=62.474216 acc-top5=83.885107 loss=1.740585 Epoch[168] Batch [0049]/[3759] Speed: 43.827632 samples/sec accuracy=67.281250 loss=1.305562 lr=0.007016 Epoch[168] Batch [0099]/[3759] Speed: 63.671513 samples/sec accuracy=67.078125 loss=1.321286 lr=0.007010 Epoch[168] Batch [0149]/[3759] Speed: 64.801762 samples/sec accuracy=67.416667 loss=1.314813 lr=0.007003 Epoch[168] Batch [0199]/[3759] Speed: 64.802770 samples/sec accuracy=67.476562 loss=1.314331 lr=0.006997 Epoch[168] Batch [0249]/[3759] Speed: 64.390255 samples/sec accuracy=67.500000 loss=1.314760 lr=0.006990 Epoch[168] Batch [0299]/[3759] Speed: 64.797287 samples/sec accuracy=67.270833 loss=1.320596 lr=0.006984 Epoch[168] Batch 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accuracy=67.228516 loss=1.328933 lr=0.006919 Epoch[168] Batch [0849]/[3759] Speed: 65.543929 samples/sec accuracy=67.257353 loss=1.328092 lr=0.006912 Epoch[168] Batch [0899]/[3759] Speed: 63.823353 samples/sec accuracy=67.267361 loss=1.327457 lr=0.006906 Epoch[168] Batch [0949]/[3759] Speed: 65.362523 samples/sec accuracy=67.294408 loss=1.327136 lr=0.006899 Epoch[168] Batch [0999]/[3759] Speed: 63.877821 samples/sec accuracy=67.325000 loss=1.325881 lr=0.006893 Epoch[168] Batch [1049]/[3759] Speed: 64.866613 samples/sec accuracy=67.363095 loss=1.324389 lr=0.006886 Epoch[168] Batch [1099]/[3759] Speed: 64.428948 samples/sec accuracy=67.356534 loss=1.323569 lr=0.006880 Epoch[168] Batch [1149]/[3759] Speed: 65.282804 samples/sec accuracy=67.353261 loss=1.324056 lr=0.006873 Epoch[168] Batch [1199]/[3759] Speed: 64.555176 samples/sec accuracy=67.390625 loss=1.323092 lr=0.006867 Epoch[168] Batch [1249]/[3759] Speed: 65.331067 samples/sec accuracy=67.398750 loss=1.322595 lr=0.006860 Epoch[168] 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accuracy=67.428571 loss=1.323678 lr=0.006796 Epoch[168] Batch [1799]/[3759] Speed: 65.693624 samples/sec accuracy=67.438368 loss=1.322940 lr=0.006789 Epoch[168] Batch [1849]/[3759] Speed: 63.582343 samples/sec accuracy=67.406250 loss=1.324682 lr=0.006783 Epoch[168] Batch [1899]/[3759] Speed: 64.599800 samples/sec accuracy=67.376645 loss=1.325160 lr=0.006777 Epoch[168] Batch [1949]/[3759] Speed: 64.042656 samples/sec accuracy=67.366186 loss=1.326099 lr=0.006770 Epoch[168] Batch [1999]/[3759] Speed: 65.980271 samples/sec accuracy=67.342187 loss=1.326573 lr=0.006764 Epoch[168] Batch [2049]/[3759] Speed: 63.541471 samples/sec accuracy=67.330793 loss=1.327617 lr=0.006757 Epoch[168] Batch [2099]/[3759] Speed: 64.761018 samples/sec accuracy=67.338542 loss=1.326883 lr=0.006751 Epoch[168] Batch [2149]/[3759] Speed: 64.382690 samples/sec accuracy=67.322674 loss=1.327841 lr=0.006744 Epoch[168] Batch [2199]/[3759] Speed: 64.934274 samples/sec accuracy=67.302557 loss=1.328811 lr=0.006738 Epoch[168] 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accuracy=67.304977 loss=1.328431 lr=0.006674 Epoch[168] Batch [2749]/[3759] Speed: 65.414127 samples/sec accuracy=67.288636 loss=1.328846 lr=0.006668 Epoch[168] Batch [2799]/[3759] Speed: 64.485656 samples/sec accuracy=67.246094 loss=1.330368 lr=0.006661 Epoch[168] Batch [2849]/[3759] Speed: 65.958252 samples/sec accuracy=67.254386 loss=1.329766 lr=0.006655 Epoch[168] Batch [2899]/[3759] Speed: 63.978354 samples/sec accuracy=67.232220 loss=1.330256 lr=0.006649 Epoch[168] Batch [2949]/[3759] Speed: 65.857332 samples/sec accuracy=67.218220 loss=1.330948 lr=0.006642 Epoch[168] Batch [2999]/[3759] Speed: 64.599684 samples/sec accuracy=67.163021 loss=1.332173 lr=0.006636 Epoch[168] Batch [3049]/[3759] Speed: 65.731251 samples/sec accuracy=67.173668 loss=1.332033 lr=0.006630 Epoch[168] Batch [3099]/[3759] Speed: 64.639390 samples/sec accuracy=67.156250 loss=1.332990 lr=0.006623 Epoch[168] Batch [3149]/[3759] Speed: 63.858058 samples/sec accuracy=67.151786 loss=1.333846 lr=0.006617 Epoch[168] 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accuracy=67.099743 loss=1.334300 lr=0.006553 Epoch[168] Batch [3699]/[3759] Speed: 64.705314 samples/sec accuracy=67.093328 loss=1.334684 lr=0.006547 Epoch[168] Batch [3749]/[3759] Speed: 68.872428 samples/sec accuracy=67.088750 loss=1.335205 lr=0.006541 Batch [0049]/[0303]: acc-top1=61.593750 acc-top5=83.750000 Batch [0099]/[0303]: acc-top1=62.546875 acc-top5=83.796875 Batch [0149]/[0303]: acc-top1=62.531250 acc-top5=83.968750 Batch [0199]/[0303]: acc-top1=62.468750 acc-top5=83.937500 Batch [0249]/[0303]: acc-top1=62.675000 acc-top5=83.975000 Batch [0299]/[0303]: acc-top1=62.609375 acc-top5=84.036458 [Epoch 168] training: accuracy=67.093974 loss=1.335182 [Epoch 168] speed: 64 samples/sec time cost: 4009.069150 [Epoch 168] validation: acc-top1=62.613449 acc-top5=84.034653 loss=1.732008 Epoch[169] Batch [0049]/[3760] Speed: 43.415681 samples/sec accuracy=68.593750 loss=1.251588 lr=0.006533 Epoch[169] Batch [0099]/[3760] Speed: 63.328177 samples/sec accuracy=68.265625 loss=1.258385 lr=0.006527 Epoch[169] Batch [0149]/[3760] Speed: 64.628560 samples/sec accuracy=68.614583 loss=1.261706 lr=0.006521 Epoch[169] Batch [0199]/[3760] Speed: 63.080381 samples/sec accuracy=68.429688 loss=1.269601 lr=0.006514 Epoch[169] Batch [0249]/[3760] Speed: 64.803480 samples/sec accuracy=68.268750 loss=1.275115 lr=0.006508 Epoch[169] Batch [0299]/[3760] Speed: 63.720513 samples/sec accuracy=68.312500 loss=1.272626 lr=0.006502 Epoch[169] Batch [0349]/[3760] Speed: 65.759258 samples/sec accuracy=68.366071 loss=1.274241 lr=0.006495 Epoch[169] Batch [0399]/[3760] Speed: 64.360193 samples/sec accuracy=68.402344 loss=1.277444 lr=0.006489 Epoch[169] Batch [0449]/[3760] Speed: 65.637722 samples/sec accuracy=68.385417 loss=1.281181 lr=0.006483 Epoch[169] Batch [0499]/[3760] Speed: 63.495907 samples/sec accuracy=68.428125 loss=1.279143 lr=0.006477 Epoch[169] Batch [0549]/[3760] Speed: 65.414213 samples/sec accuracy=68.357955 loss=1.280499 lr=0.006470 Epoch[169] Batch [0599]/[3760] Speed: 64.623203 samples/sec accuracy=68.169271 loss=1.285337 lr=0.006464 Epoch[169] Batch [0649]/[3760] Speed: 65.934934 samples/sec accuracy=68.062500 loss=1.289992 lr=0.006458 Epoch[169] Batch [0699]/[3760] Speed: 65.518953 samples/sec accuracy=67.984375 loss=1.292071 lr=0.006451 Epoch[169] Batch [0749]/[3760] Speed: 64.798452 samples/sec accuracy=68.085417 loss=1.290053 lr=0.006445 Epoch[169] Batch [0799]/[3760] Speed: 65.418396 samples/sec accuracy=68.123047 loss=1.289071 lr=0.006439 Epoch[169] Batch [0849]/[3760] Speed: 65.832043 samples/sec accuracy=68.036765 loss=1.292841 lr=0.006433 Epoch[169] Batch [0899]/[3760] Speed: 64.317885 samples/sec accuracy=68.008681 loss=1.294794 lr=0.006426 Epoch[169] Batch [0949]/[3760] Speed: 65.855146 samples/sec accuracy=67.975329 loss=1.296089 lr=0.006420 Epoch[169] Batch [0999]/[3760] Speed: 64.933252 samples/sec accuracy=67.962500 loss=1.297185 lr=0.006414 Epoch[169] Batch [1049]/[3760] Speed: 64.442711 samples/sec accuracy=67.961310 loss=1.296975 lr=0.006408 Epoch[169] Batch [1099]/[3760] Speed: 64.621538 samples/sec accuracy=67.973011 loss=1.298649 lr=0.006401 Epoch[169] Batch [1149]/[3760] Speed: 64.837343 samples/sec accuracy=67.898098 loss=1.301922 lr=0.006395 Epoch[169] Batch [1199]/[3760] Speed: 64.494985 samples/sec accuracy=67.899740 loss=1.302168 lr=0.006389 Epoch[169] Batch [1249]/[3760] Speed: 64.609796 samples/sec accuracy=67.896250 loss=1.301553 lr=0.006383 Epoch[169] Batch [1299]/[3760] Speed: 62.970944 samples/sec accuracy=67.920673 loss=1.302286 lr=0.006376 Epoch[169] Batch [1349]/[3760] Speed: 64.003012 samples/sec accuracy=67.865741 loss=1.302931 lr=0.006370 Epoch[169] Batch [1399]/[3760] Speed: 64.225507 samples/sec accuracy=67.876116 loss=1.302658 lr=0.006364 Epoch[169] Batch [1449]/[3760] Speed: 62.972144 samples/sec accuracy=67.871767 loss=1.302341 lr=0.006358 Epoch[169] Batch [1499]/[3760] Speed: 65.543439 samples/sec accuracy=67.825000 loss=1.304669 lr=0.006351 Epoch[169] Batch [1549]/[3760] Speed: 64.129319 samples/sec accuracy=67.797379 loss=1.305815 lr=0.006345 Epoch[169] Batch [1599]/[3760] Speed: 64.482780 samples/sec accuracy=67.801758 loss=1.304441 lr=0.006339 Epoch[169] Batch [1649]/[3760] Speed: 64.706450 samples/sec accuracy=67.832386 loss=1.302990 lr=0.006333 Epoch[169] Batch [1699]/[3760] Speed: 65.411064 samples/sec accuracy=67.821691 loss=1.303846 lr=0.006326 Epoch[169] Batch [1749]/[3760] Speed: 64.360925 samples/sec accuracy=67.791071 loss=1.305319 lr=0.006320 Epoch[169] Batch [1799]/[3760] Speed: 64.962527 samples/sec accuracy=67.765625 loss=1.306838 lr=0.006314 Epoch[169] Batch [1849]/[3760] Speed: 64.402830 samples/sec accuracy=67.766892 loss=1.306084 lr=0.006308 Epoch[169] Batch [1899]/[3760] Speed: 63.984622 samples/sec accuracy=67.811678 loss=1.305045 lr=0.006302 Epoch[169] Batch [1949]/[3760] Speed: 64.677793 samples/sec accuracy=67.781250 loss=1.306278 lr=0.006295 Epoch[169] Batch [1999]/[3760] Speed: 64.837966 samples/sec accuracy=67.789062 loss=1.305068 lr=0.006289 Epoch[169] Batch [2049]/[3760] Speed: 65.358714 samples/sec accuracy=67.769817 loss=1.305769 lr=0.006283 Epoch[169] Batch [2099]/[3760] Speed: 64.734296 samples/sec accuracy=67.755208 loss=1.306499 lr=0.006277 Epoch[169] Batch [2149]/[3760] Speed: 64.542969 samples/sec accuracy=67.745640 loss=1.307450 lr=0.006271 Epoch[169] Batch [2199]/[3760] Speed: 65.769522 samples/sec accuracy=67.739347 loss=1.308048 lr=0.006264 Epoch[169] Batch [2249]/[3760] Speed: 65.893972 samples/sec accuracy=67.750694 loss=1.307953 lr=0.006258 Epoch[169] Batch [2299]/[3760] Speed: 65.172619 samples/sec accuracy=67.710598 loss=1.309242 lr=0.006252 Epoch[169] Batch [2349]/[3760] Speed: 65.873537 samples/sec accuracy=67.724069 loss=1.308667 lr=0.006246 Epoch[169] Batch [2399]/[3760] Speed: 65.162704 samples/sec accuracy=67.746094 loss=1.307967 lr=0.006240 Epoch[169] Batch [2449]/[3760] Speed: 65.160479 samples/sec accuracy=67.758929 loss=1.307515 lr=0.006233 Epoch[169] Batch [2499]/[3760] Speed: 65.673901 samples/sec accuracy=67.735625 loss=1.308519 lr=0.006227 Epoch[169] Batch [2549]/[3760] Speed: 65.669611 samples/sec accuracy=67.727941 loss=1.308742 lr=0.006221 Epoch[169] Batch [2599]/[3760] Speed: 65.481367 samples/sec accuracy=67.732572 loss=1.307518 lr=0.006215 Epoch[169] Batch [2649]/[3760] Speed: 66.068276 samples/sec accuracy=67.755896 loss=1.306214 lr=0.006209 Epoch[169] Batch [2699]/[3760] Speed: 64.250684 samples/sec accuracy=67.767940 loss=1.305712 lr=0.006203 Epoch[169] Batch [2749]/[3760] Speed: 66.389799 samples/sec accuracy=67.761364 loss=1.305479 lr=0.006196 Epoch[169] Batch [2799]/[3760] Speed: 65.583079 samples/sec accuracy=67.781808 loss=1.304862 lr=0.006190 Epoch[169] Batch [2849]/[3760] Speed: 65.480326 samples/sec accuracy=67.755482 loss=1.307188 lr=0.006184 Epoch[169] Batch [2899]/[3760] Speed: 65.954667 samples/sec accuracy=67.742996 loss=1.307251 lr=0.006178 Epoch[169] Batch [2949]/[3760] Speed: 65.602953 samples/sec accuracy=67.716631 loss=1.308656 lr=0.006172 Epoch[169] Batch [2999]/[3760] Speed: 64.420467 samples/sec accuracy=67.739063 loss=1.308212 lr=0.006166 Epoch[169] Batch [3049]/[3760] Speed: 65.079522 samples/sec accuracy=67.754611 loss=1.307933 lr=0.006159 Epoch[169] Batch [3099]/[3760] Speed: 65.449465 samples/sec accuracy=67.776714 loss=1.307256 lr=0.006153 Epoch[169] Batch [3149]/[3760] Speed: 65.233627 samples/sec accuracy=67.762401 loss=1.307977 lr=0.006147 Epoch[169] Batch [3199]/[3760] Speed: 65.741219 samples/sec accuracy=67.757812 loss=1.308628 lr=0.006141 Epoch[169] Batch [3249]/[3760] Speed: 65.045071 samples/sec accuracy=67.744712 loss=1.308811 lr=0.006135 Epoch[169] Batch [3299]/[3760] Speed: 64.372324 samples/sec accuracy=67.750000 loss=1.308585 lr=0.006129 Epoch[169] Batch [3349]/[3760] Speed: 65.636700 samples/sec accuracy=67.756996 loss=1.308176 lr=0.006123 Epoch[169] Batch [3399]/[3760] Speed: 65.342644 samples/sec accuracy=67.750460 loss=1.308693 lr=0.006117 Epoch[169] Batch [3449]/[3760] Speed: 65.792459 samples/sec accuracy=67.722826 loss=1.309591 lr=0.006110 Epoch[169] Batch [3499]/[3760] Speed: 65.100154 samples/sec accuracy=67.708036 loss=1.310282 lr=0.006104 Epoch[169] Batch [3549]/[3760] Speed: 64.943073 samples/sec accuracy=67.700704 loss=1.310349 lr=0.006098 Epoch[169] Batch [3599]/[3760] Speed: 65.755907 samples/sec accuracy=67.710503 loss=1.310354 lr=0.006092 Epoch[169] Batch [3649]/[3760] Speed: 65.862767 samples/sec accuracy=67.704623 loss=1.310620 lr=0.006086 Epoch[169] Batch [3699]/[3760] Speed: 65.593413 samples/sec accuracy=67.720017 loss=1.310048 lr=0.006080 Epoch[169] Batch [3749]/[3760] Speed: 68.733027 samples/sec accuracy=67.720000 loss=1.310304 lr=0.006074 Batch [0049]/[0303]: acc-top1=62.093750 acc-top5=84.437500 Batch [0099]/[0303]: acc-top1=62.843750 acc-top5=84.593750 Batch [0149]/[0303]: acc-top1=62.770833 acc-top5=84.458333 Batch [0199]/[0303]: acc-top1=62.890625 acc-top5=84.281250 Batch [0249]/[0303]: acc-top1=62.975000 acc-top5=84.525000 Batch [0299]/[0303]: acc-top1=63.145833 acc-top5=84.390625 [Epoch 169] training: accuracy=67.732713 loss=1.309732 [Epoch 169] speed: 64 samples/sec time cost: 3999.188116 [Epoch 169] validation: acc-top1=63.170380 acc-top5=84.395627 loss=1.724537 Epoch[170] Batch [0049]/[3760] Speed: 43.553163 samples/sec accuracy=70.125000 loss=1.219397 lr=0.006066 Epoch[170] Batch [0099]/[3760] Speed: 64.331650 samples/sec accuracy=69.562500 loss=1.247021 lr=0.006060 Epoch[170] Batch [0149]/[3760] Speed: 64.174281 samples/sec accuracy=69.500000 loss=1.243530 lr=0.006054 Epoch[170] Batch [0199]/[3760] Speed: 64.071506 samples/sec accuracy=69.492188 loss=1.240622 lr=0.006048 Epoch[170] Batch [0249]/[3760] Speed: 65.244633 samples/sec accuracy=69.131250 loss=1.251538 lr=0.006042 Epoch[170] Batch [0299]/[3760] Speed: 64.147149 samples/sec accuracy=68.734375 loss=1.264672 lr=0.006036 Epoch[170] Batch [0349]/[3760] Speed: 65.031067 samples/sec accuracy=68.687500 loss=1.265509 lr=0.006030 Epoch[170] Batch 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accuracy=68.483456 loss=1.269019 lr=0.005969 Epoch[170] Batch [0899]/[3760] Speed: 65.649269 samples/sec accuracy=68.454861 loss=1.268805 lr=0.005963 Epoch[170] Batch [0949]/[3760] Speed: 64.808780 samples/sec accuracy=68.437500 loss=1.268781 lr=0.005957 Epoch[170] Batch [0999]/[3760] Speed: 64.149343 samples/sec accuracy=68.450000 loss=1.269719 lr=0.005951 Epoch[170] Batch [1049]/[3760] Speed: 65.177632 samples/sec accuracy=68.491071 loss=1.268858 lr=0.005945 Epoch[170] Batch [1099]/[3760] Speed: 64.952410 samples/sec accuracy=68.433239 loss=1.271299 lr=0.005939 Epoch[170] Batch [1149]/[3760] Speed: 63.723215 samples/sec accuracy=68.422554 loss=1.270946 lr=0.005933 Epoch[170] Batch [1199]/[3760] Speed: 64.668511 samples/sec accuracy=68.430990 loss=1.271056 lr=0.005927 Epoch[170] Batch [1249]/[3760] Speed: 64.752301 samples/sec accuracy=68.448750 loss=1.271642 lr=0.005921 Epoch[170] Batch [1299]/[3760] Speed: 65.093358 samples/sec accuracy=68.459135 loss=1.270966 lr=0.005915 Epoch[170] Batch [1349]/[3760] Speed: 64.584512 samples/sec accuracy=68.515046 loss=1.267484 lr=0.005909 Epoch[170] Batch [1399]/[3760] Speed: 64.563813 samples/sec accuracy=68.549107 loss=1.267708 lr=0.005903 Epoch[170] Batch [1449]/[3760] Speed: 64.198759 samples/sec accuracy=68.559267 loss=1.268358 lr=0.005897 Epoch[170] Batch [1499]/[3760] Speed: 65.243028 samples/sec accuracy=68.592708 loss=1.267079 lr=0.005891 Epoch[170] Batch [1549]/[3760] Speed: 64.848506 samples/sec accuracy=68.614919 loss=1.266052 lr=0.005885 Epoch[170] Batch [1599]/[3760] Speed: 66.093950 samples/sec accuracy=68.617188 loss=1.266416 lr=0.005879 Epoch[170] Batch [1649]/[3760] Speed: 64.325346 samples/sec accuracy=68.605114 loss=1.266431 lr=0.005873 Epoch[170] Batch [1699]/[3760] Speed: 65.133340 samples/sec accuracy=68.632353 loss=1.265655 lr=0.005867 Epoch[170] Batch [1749]/[3760] Speed: 64.984120 samples/sec accuracy=68.594643 loss=1.266953 lr=0.005861 Epoch[170] Batch [1799]/[3760] Speed: 65.623496 samples/sec accuracy=68.555556 loss=1.268661 lr=0.005855 Epoch[170] Batch [1849]/[3760] Speed: 65.130979 samples/sec accuracy=68.554899 loss=1.269447 lr=0.005849 Epoch[170] Batch [1899]/[3760] Speed: 65.371352 samples/sec accuracy=68.529605 loss=1.270012 lr=0.005843 Epoch[170] Batch [1949]/[3760] Speed: 64.709808 samples/sec accuracy=68.499199 loss=1.271179 lr=0.005837 Epoch[170] Batch [1999]/[3760] Speed: 65.902503 samples/sec accuracy=68.501563 loss=1.272415 lr=0.005831 Epoch[170] Batch [2049]/[3760] Speed: 65.161049 samples/sec accuracy=68.493140 loss=1.272646 lr=0.005825 Epoch[170] Batch [2099]/[3760] Speed: 65.710391 samples/sec accuracy=68.486607 loss=1.272444 lr=0.005819 Epoch[170] Batch [2149]/[3760] Speed: 65.611749 samples/sec accuracy=68.481105 loss=1.272646 lr=0.005813 Epoch[170] Batch [2199]/[3760] Speed: 64.197942 samples/sec accuracy=68.490767 loss=1.272243 lr=0.005807 Epoch[170] Batch [2249]/[3760] Speed: 65.995876 samples/sec accuracy=68.478472 loss=1.273537 lr=0.005801 Epoch[170] Batch [2299]/[3760] Speed: 65.660603 samples/sec accuracy=68.493886 loss=1.273949 lr=0.005795 Epoch[170] Batch [2349]/[3760] Speed: 65.706261 samples/sec accuracy=68.518617 loss=1.273432 lr=0.005789 Epoch[170] Batch [2399]/[3760] Speed: 65.313688 samples/sec accuracy=68.520182 loss=1.273610 lr=0.005783 Epoch[170] Batch [2449]/[3760] Speed: 65.776085 samples/sec accuracy=68.502551 loss=1.274386 lr=0.005777 Epoch[170] Batch [2499]/[3760] Speed: 64.176175 samples/sec accuracy=68.471875 loss=1.275364 lr=0.005771 Epoch[170] Batch [2549]/[3760] Speed: 65.793637 samples/sec accuracy=68.451593 loss=1.275806 lr=0.005765 Epoch[170] Batch [2599]/[3760] Speed: 65.091384 samples/sec accuracy=68.432692 loss=1.276300 lr=0.005759 Epoch[170] Batch [2649]/[3760] Speed: 66.099662 samples/sec accuracy=68.413915 loss=1.276921 lr=0.005753 Epoch[170] Batch [2699]/[3760] Speed: 65.680477 samples/sec accuracy=68.416667 loss=1.276547 lr=0.005747 Epoch[170] Batch [2749]/[3760] Speed: 64.578421 samples/sec accuracy=68.407386 loss=1.277116 lr=0.005741 Epoch[170] Batch [2799]/[3760] Speed: 65.356586 samples/sec accuracy=68.364397 loss=1.278656 lr=0.005735 Epoch[170] Batch [2849]/[3760] Speed: 65.769646 samples/sec accuracy=68.337719 loss=1.279443 lr=0.005729 Epoch[170] Batch [2899]/[3760] Speed: 65.188863 samples/sec accuracy=68.317349 loss=1.280624 lr=0.005723 Epoch[170] Batch [2949]/[3760] Speed: 65.758457 samples/sec accuracy=68.316208 loss=1.280814 lr=0.005717 Epoch[170] Batch [2999]/[3760] Speed: 64.239959 samples/sec accuracy=68.303646 loss=1.281604 lr=0.005712 Epoch[170] Batch [3049]/[3760] Speed: 66.320694 samples/sec accuracy=68.302254 loss=1.281428 lr=0.005706 Epoch[170] Batch [3099]/[3760] Speed: 65.363377 samples/sec accuracy=68.314516 loss=1.281687 lr=0.005700 Epoch[170] Batch [3149]/[3760] Speed: 65.760689 samples/sec accuracy=68.311508 loss=1.282086 lr=0.005694 Epoch[170] Batch [3199]/[3760] Speed: 65.460838 samples/sec accuracy=68.287598 loss=1.282721 lr=0.005688 Epoch[170] Batch [3249]/[3760] Speed: 65.061214 samples/sec accuracy=68.283654 loss=1.283341 lr=0.005682 Epoch[170] Batch [3299]/[3760] Speed: 64.978408 samples/sec accuracy=68.304924 loss=1.282628 lr=0.005676 Epoch[170] Batch [3349]/[3760] Speed: 65.372905 samples/sec accuracy=68.300373 loss=1.282800 lr=0.005670 Epoch[170] Batch [3399]/[3760] Speed: 65.715178 samples/sec accuracy=68.298254 loss=1.283236 lr=0.005664 Epoch[170] Batch [3449]/[3760] Speed: 65.510282 samples/sec accuracy=68.289402 loss=1.283595 lr=0.005658 Epoch[170] Batch [3499]/[3760] Speed: 65.961411 samples/sec accuracy=68.274554 loss=1.283965 lr=0.005652 Epoch[170] Batch [3549]/[3760] Speed: 64.714574 samples/sec accuracy=68.273768 loss=1.283713 lr=0.005646 Epoch[170] Batch [3599]/[3760] Speed: 65.508025 samples/sec accuracy=68.267795 loss=1.283857 lr=0.005641 Epoch[170] Batch [3649]/[3760] Speed: 65.457524 samples/sec accuracy=68.273116 loss=1.284000 lr=0.005635 Epoch[170] Batch [3699]/[3760] Speed: 65.646222 samples/sec accuracy=68.279139 loss=1.284080 lr=0.005629 Epoch[170] Batch [3749]/[3760] Speed: 68.638388 samples/sec accuracy=68.271250 loss=1.284124 lr=0.005623 Batch [0049]/[0303]: acc-top1=62.218750 acc-top5=84.375000 Batch [0099]/[0303]: acc-top1=62.953125 acc-top5=84.156250 Batch [0149]/[0303]: acc-top1=62.770833 acc-top5=84.281250 Batch [0199]/[0303]: acc-top1=62.609375 acc-top5=84.125000 Batch [0249]/[0303]: acc-top1=62.831250 acc-top5=84.362500 Batch [0299]/[0303]: acc-top1=62.817708 acc-top5=84.291667 [Epoch 170] training: accuracy=68.263381 loss=1.284319 [Epoch 170] speed: 64 samples/sec time cost: 3991.023710 [Epoch 170] validation: acc-top1=62.835190 acc-top5=84.277021 loss=1.747593 Epoch[171] Batch [0049]/[3759] Speed: 42.746816 samples/sec accuracy=70.812500 loss=1.184185 lr=0.005616 Epoch[171] Batch [0099]/[3759] Speed: 63.820150 samples/sec accuracy=69.843750 loss=1.224698 lr=0.005610 Epoch[171] Batch [0149]/[3759] Speed: 65.083504 samples/sec accuracy=69.572917 loss=1.233274 lr=0.005604 Epoch[171] Batch [0199]/[3759] Speed: 63.854910 samples/sec accuracy=69.406250 loss=1.237364 lr=0.005598 Epoch[171] Batch [0249]/[3759] Speed: 65.086541 samples/sec accuracy=69.518750 loss=1.231311 lr=0.005592 Epoch[171] Batch [0299]/[3759] Speed: 64.451671 samples/sec accuracy=69.177083 loss=1.238689 lr=0.005586 Epoch[171] Batch [0349]/[3759] Speed: 64.660220 samples/sec accuracy=69.160714 loss=1.239686 lr=0.005581 Epoch[171] Batch [0399]/[3759] Speed: 64.491811 samples/sec accuracy=69.125000 loss=1.242128 lr=0.005575 Epoch[171] Batch [0449]/[3759] Speed: 65.395051 samples/sec accuracy=69.118056 loss=1.245678 lr=0.005569 Epoch[171] Batch [0499]/[3759] Speed: 63.829900 samples/sec accuracy=69.137500 loss=1.248005 lr=0.005563 Epoch[171] Batch [0549]/[3759] Speed: 65.896924 samples/sec accuracy=69.184659 loss=1.244661 lr=0.005557 Epoch[171] Batch [0599]/[3759] Speed: 63.604752 samples/sec accuracy=69.268229 loss=1.244061 lr=0.005551 Epoch[171] Batch [0649]/[3759] Speed: 65.453005 samples/sec accuracy=69.206731 loss=1.244334 lr=0.005545 Epoch[171] Batch [0699]/[3759] Speed: 64.581847 samples/sec accuracy=69.287946 loss=1.240678 lr=0.005540 Epoch[171] Batch [0749]/[3759] Speed: 65.517262 samples/sec accuracy=69.429167 loss=1.235944 lr=0.005534 Epoch[171] Batch [0799]/[3759] Speed: 64.602377 samples/sec accuracy=69.460938 loss=1.234067 lr=0.005528 Epoch[171] Batch [0849]/[3759] Speed: 63.398765 samples/sec accuracy=69.411765 loss=1.234135 lr=0.005522 Epoch[171] Batch [0899]/[3759] Speed: 64.400198 samples/sec accuracy=69.324653 loss=1.237215 lr=0.005516 Epoch[171] Batch [0949]/[3759] Speed: 64.146599 samples/sec accuracy=69.269737 loss=1.238749 lr=0.005510 Epoch[171] Batch [0999]/[3759] Speed: 64.633936 samples/sec accuracy=69.270313 loss=1.239192 lr=0.005505 Epoch[171] Batch [1049]/[3759] Speed: 64.445398 samples/sec accuracy=69.294643 loss=1.237173 lr=0.005499 Epoch[171] Batch [1099]/[3759] Speed: 65.194196 samples/sec accuracy=69.306818 loss=1.237691 lr=0.005493 Epoch[171] Batch [1149]/[3759] Speed: 63.866092 samples/sec accuracy=69.233696 loss=1.241472 lr=0.005487 Epoch[171] Batch [1199]/[3759] Speed: 64.702107 samples/sec accuracy=69.251302 loss=1.240845 lr=0.005481 Epoch[171] Batch [1249]/[3759] Speed: 64.550180 samples/sec accuracy=69.300000 loss=1.240902 lr=0.005476 Epoch[171] Batch [1299]/[3759] Speed: 65.553141 samples/sec accuracy=69.276442 loss=1.240882 lr=0.005470 Epoch[171] Batch [1349]/[3759] Speed: 64.358512 samples/sec accuracy=69.313657 loss=1.238457 lr=0.005464 Epoch[171] Batch [1399]/[3759] Speed: 64.457491 samples/sec accuracy=69.292411 loss=1.239509 lr=0.005458 Epoch[171] Batch [1449]/[3759] Speed: 65.339211 samples/sec accuracy=69.301724 loss=1.238814 lr=0.005452 Epoch[171] Batch [1499]/[3759] Speed: 65.651074 samples/sec accuracy=69.314583 loss=1.239434 lr=0.005446 Epoch[171] Batch [1549]/[3759] Speed: 64.541616 samples/sec accuracy=69.292339 loss=1.239598 lr=0.005441 Epoch[171] Batch [1599]/[3759] Speed: 66.321543 samples/sec accuracy=69.250000 loss=1.241098 lr=0.005435 Epoch[171] Batch [1649]/[3759] Speed: 65.170783 samples/sec accuracy=69.251894 loss=1.241958 lr=0.005429 Epoch[171] Batch [1699]/[3759] Speed: 65.109562 samples/sec accuracy=69.272059 loss=1.242124 lr=0.005423 Epoch[171] Batch [1749]/[3759] Speed: 65.122480 samples/sec accuracy=69.272321 loss=1.241642 lr=0.005418 Epoch[171] Batch [1799]/[3759] Speed: 65.749476 samples/sec accuracy=69.220486 loss=1.243422 lr=0.005412 Epoch[171] Batch [1849]/[3759] Speed: 65.559574 samples/sec accuracy=69.207770 loss=1.243946 lr=0.005406 Epoch[171] Batch [1899]/[3759] Speed: 65.729573 samples/sec accuracy=69.208059 loss=1.243794 lr=0.005400 Epoch[171] Batch [1949]/[3759] Speed: 64.434831 samples/sec accuracy=69.185096 loss=1.244394 lr=0.005394 Epoch[171] Batch [1999]/[3759] Speed: 65.842107 samples/sec accuracy=69.160156 loss=1.245730 lr=0.005389 Epoch[171] Batch [2049]/[3759] Speed: 65.430135 samples/sec accuracy=69.129573 loss=1.247191 lr=0.005383 Epoch[171] Batch [2099]/[3759] Speed: 65.594760 samples/sec accuracy=69.093006 loss=1.248895 lr=0.005377 Epoch[171] Batch [2149]/[3759] Speed: 65.538546 samples/sec accuracy=69.089390 loss=1.248856 lr=0.005371 Epoch[171] Batch [2199]/[3759] Speed: 63.975468 samples/sec accuracy=69.051136 loss=1.249935 lr=0.005366 Epoch[171] Batch [2249]/[3759] Speed: 66.720962 samples/sec accuracy=69.075000 loss=1.249311 lr=0.005360 Epoch[171] Batch [2299]/[3759] Speed: 65.567634 samples/sec accuracy=69.118207 loss=1.247941 lr=0.005354 Epoch[171] Batch [2349]/[3759] Speed: 66.192068 samples/sec accuracy=69.109707 loss=1.248713 lr=0.005348 Epoch[171] Batch [2399]/[3759] Speed: 65.395808 samples/sec accuracy=69.100260 loss=1.248581 lr=0.005343 Epoch[171] Batch [2449]/[3759] Speed: 65.591601 samples/sec accuracy=69.072066 loss=1.249660 lr=0.005337 Epoch[171] Batch [2499]/[3759] Speed: 65.087766 samples/sec accuracy=69.055625 loss=1.249915 lr=0.005331 Epoch[171] Batch [2549]/[3759] Speed: 65.887934 samples/sec accuracy=69.027574 loss=1.250569 lr=0.005325 Epoch[171] Batch [2599]/[3759] Speed: 65.564285 samples/sec accuracy=69.045072 loss=1.250250 lr=0.005320 Epoch[171] Batch [2649]/[3759] Speed: 66.084997 samples/sec accuracy=69.048939 loss=1.249811 lr=0.005314 Epoch[171] Batch [2699]/[3759] Speed: 65.411095 samples/sec accuracy=69.042824 loss=1.250300 lr=0.005308 Epoch[171] Batch [2749]/[3759] Speed: 64.731646 samples/sec accuracy=69.018182 loss=1.251362 lr=0.005302 Epoch[171] Batch [2799]/[3759] Speed: 65.617466 samples/sec accuracy=68.986607 loss=1.252882 lr=0.005297 Epoch[171] Batch [2849]/[3759] Speed: 66.166854 samples/sec accuracy=68.998904 loss=1.252774 lr=0.005291 Epoch[171] Batch [2899]/[3759] Speed: 64.943163 samples/sec accuracy=68.977909 loss=1.253593 lr=0.005285 Epoch[171] Batch [2949]/[3759] Speed: 66.151061 samples/sec accuracy=68.957097 loss=1.253533 lr=0.005280 Epoch[171] Batch [2999]/[3759] Speed: 65.046083 samples/sec accuracy=68.945312 loss=1.254487 lr=0.005274 Epoch[171] Batch [3049]/[3759] Speed: 65.074318 samples/sec accuracy=68.935451 loss=1.255163 lr=0.005268 Epoch[171] Batch [3099]/[3759] Speed: 65.471776 samples/sec accuracy=68.910282 loss=1.255857 lr=0.005262 Epoch[171] Batch [3149]/[3759] Speed: 65.457608 samples/sec accuracy=68.911706 loss=1.256387 lr=0.005257 Epoch[171] Batch [3199]/[3759] Speed: 65.121660 samples/sec accuracy=68.925293 loss=1.255802 lr=0.005251 Epoch[171] Batch [3249]/[3759] Speed: 65.587490 samples/sec accuracy=68.926923 loss=1.255912 lr=0.005245 Epoch[171] Batch [3299]/[3759] Speed: 64.427464 samples/sec accuracy=68.926136 loss=1.256421 lr=0.005240 Epoch[171] Batch [3349]/[3759] Speed: 65.605095 samples/sec accuracy=68.909515 loss=1.256995 lr=0.005234 Epoch[171] Batch [3399]/[3759] Speed: 65.279584 samples/sec accuracy=68.897978 loss=1.257649 lr=0.005228 Epoch[171] Batch [3449]/[3759] Speed: 65.400887 samples/sec accuracy=68.896739 loss=1.258178 lr=0.005223 Epoch[171] Batch [3499]/[3759] Speed: 65.155265 samples/sec accuracy=68.874107 loss=1.258479 lr=0.005217 Epoch[171] Batch [3549]/[3759] Speed: 62.731907 samples/sec accuracy=68.864877 loss=1.258929 lr=0.005211 Epoch[171] Batch [3599]/[3759] Speed: 66.324332 samples/sec accuracy=68.875868 loss=1.258786 lr=0.005206 Epoch[171] Batch [3649]/[3759] Speed: 64.786371 samples/sec accuracy=68.869007 loss=1.259480 lr=0.005200 Epoch[171] Batch [3699]/[3759] Speed: 65.148388 samples/sec accuracy=68.879645 loss=1.259365 lr=0.005194 Epoch[171] Batch [3749]/[3759] Speed: 68.294130 samples/sec accuracy=68.875833 loss=1.259598 lr=0.005189 Batch [0049]/[0303]: acc-top1=63.031250 acc-top5=84.906250 Batch [0099]/[0303]: acc-top1=63.250000 acc-top5=84.437500 Batch [0149]/[0303]: acc-top1=63.052083 acc-top5=84.229167 Batch [0199]/[0303]: acc-top1=62.914062 acc-top5=84.078125 Batch [0249]/[0303]: acc-top1=63.325000 acc-top5=84.337500 Batch [0299]/[0303]: acc-top1=63.317708 acc-top5=84.234375 [Epoch 171] training: accuracy=68.878857 loss=1.259444 [Epoch 171] speed: 64 samples/sec time cost: 3995.509520 [Epoch 171] validation: acc-top1=63.345710 acc-top5=84.251238 loss=1.733418 Epoch[172] Batch [0049]/[3760] Speed: 43.734637 samples/sec accuracy=69.781250 loss=1.229181 lr=0.005182 Epoch[172] Batch [0099]/[3760] Speed: 62.973711 samples/sec accuracy=69.453125 loss=1.245599 lr=0.005176 Epoch[172] Batch [0149]/[3760] Speed: 64.152038 samples/sec accuracy=69.083333 loss=1.245281 lr=0.005171 Epoch[172] Batch [0199]/[3760] Speed: 63.150522 samples/sec accuracy=69.320312 loss=1.238958 lr=0.005165 Epoch[172] Batch [0249]/[3760] Speed: 64.957011 samples/sec accuracy=69.468750 loss=1.232261 lr=0.005159 Epoch[172] Batch [0299]/[3760] Speed: 62.998055 samples/sec accuracy=69.651042 loss=1.225790 lr=0.005154 Epoch[172] Batch [0349]/[3760] Speed: 63.971907 samples/sec accuracy=69.665179 loss=1.217815 lr=0.005148 Epoch[172] Batch [0399]/[3760] Speed: 64.363259 samples/sec accuracy=69.796875 loss=1.213211 lr=0.005142 Epoch[172] Batch 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accuracy=69.548611 loss=1.226299 lr=0.005086 Epoch[172] Batch [0949]/[3760] Speed: 65.268498 samples/sec accuracy=69.500000 loss=1.227875 lr=0.005080 Epoch[172] Batch [0999]/[3760] Speed: 65.556519 samples/sec accuracy=69.467188 loss=1.229386 lr=0.005075 Epoch[172] Batch [1049]/[3760] Speed: 66.050013 samples/sec accuracy=69.461310 loss=1.229099 lr=0.005069 Epoch[172] Batch [1099]/[3760] Speed: 65.675293 samples/sec accuracy=69.437500 loss=1.229414 lr=0.005064 Epoch[172] Batch [1149]/[3760] Speed: 65.897441 samples/sec accuracy=69.495924 loss=1.229505 lr=0.005058 Epoch[172] Batch [1199]/[3760] Speed: 64.431065 samples/sec accuracy=69.528646 loss=1.228201 lr=0.005052 Epoch[172] Batch [1249]/[3760] Speed: 66.254676 samples/sec accuracy=69.530000 loss=1.228888 lr=0.005047 Epoch[172] Batch [1299]/[3760] Speed: 65.396711 samples/sec accuracy=69.542067 loss=1.227401 lr=0.005041 Epoch[172] Batch [1349]/[3760] Speed: 65.890914 samples/sec accuracy=69.524306 loss=1.228374 lr=0.005036 Epoch[172] Batch [1399]/[3760] Speed: 65.565900 samples/sec accuracy=69.492188 loss=1.229432 lr=0.005030 Epoch[172] Batch [1449]/[3760] Speed: 65.575745 samples/sec accuracy=69.531250 loss=1.229340 lr=0.005025 Epoch[172] Batch [1499]/[3760] Speed: 64.957412 samples/sec accuracy=69.551042 loss=1.228527 lr=0.005019 Epoch[172] Batch [1549]/[3760] Speed: 65.469973 samples/sec accuracy=69.521169 loss=1.228905 lr=0.005013 Epoch[172] Batch [1599]/[3760] Speed: 65.568180 samples/sec accuracy=69.514648 loss=1.229419 lr=0.005008 Epoch[172] Batch [1649]/[3760] Speed: 65.625029 samples/sec accuracy=69.533144 loss=1.228519 lr=0.005002 Epoch[172] Batch [1699]/[3760] Speed: 65.137630 samples/sec accuracy=69.568934 loss=1.227126 lr=0.004997 Epoch[172] Batch [1749]/[3760] Speed: 65.439409 samples/sec accuracy=69.594643 loss=1.226843 lr=0.004991 Epoch[172] Batch [1799]/[3760] Speed: 64.695751 samples/sec accuracy=69.559028 loss=1.228093 lr=0.004986 Epoch[172] Batch [1849]/[3760] Speed: 65.351291 samples/sec accuracy=69.547297 loss=1.228547 lr=0.004980 Epoch[172] Batch [1899]/[3760] Speed: 66.486132 samples/sec accuracy=69.539474 loss=1.228918 lr=0.004974 Epoch[172] Batch [1949]/[3760] Speed: 65.711494 samples/sec accuracy=69.519231 loss=1.229946 lr=0.004969 Epoch[172] Batch [1999]/[3760] Speed: 65.601104 samples/sec accuracy=69.513281 loss=1.229654 lr=0.004963 Epoch[172] Batch [2049]/[3760] Speed: 63.852861 samples/sec accuracy=69.491616 loss=1.230092 lr=0.004958 Epoch[172] Batch [2099]/[3760] Speed: 66.739285 samples/sec accuracy=69.482143 loss=1.230083 lr=0.004952 Epoch[172] Batch [2149]/[3760] Speed: 64.823643 samples/sec accuracy=69.468023 loss=1.230878 lr=0.004947 Epoch[172] Batch [2199]/[3760] Speed: 65.769884 samples/sec accuracy=69.463778 loss=1.231519 lr=0.004941 Epoch[172] Batch [2249]/[3760] Speed: 65.370077 samples/sec accuracy=69.481944 loss=1.230961 lr=0.004936 Epoch[172] Batch [2299]/[3760] Speed: 65.547371 samples/sec accuracy=69.494565 loss=1.230525 lr=0.004930 Epoch[172] Batch [2349]/[3760] Speed: 64.723071 samples/sec accuracy=69.482048 loss=1.230694 lr=0.004925 Epoch[172] Batch [2399]/[3760] Speed: 65.659486 samples/sec accuracy=69.503255 loss=1.229765 lr=0.004919 Epoch[172] Batch [2449]/[3760] Speed: 65.259851 samples/sec accuracy=69.512117 loss=1.228822 lr=0.004913 Epoch[172] Batch [2499]/[3760] Speed: 65.843278 samples/sec accuracy=69.498125 loss=1.229321 lr=0.004908 Epoch[172] Batch [2549]/[3760] Speed: 65.186582 samples/sec accuracy=69.507353 loss=1.229474 lr=0.004902 Epoch[172] Batch [2599]/[3760] Speed: 65.916754 samples/sec accuracy=69.521034 loss=1.229258 lr=0.004897 Epoch[172] Batch [2649]/[3760] Speed: 65.018896 samples/sec accuracy=69.517689 loss=1.229453 lr=0.004891 Epoch[172] Batch [2699]/[3760] Speed: 65.956395 samples/sec accuracy=69.535301 loss=1.229119 lr=0.004886 Epoch[172] Batch [2749]/[3760] Speed: 65.097108 samples/sec accuracy=69.514773 loss=1.229789 lr=0.004880 Epoch[172] Batch [2799]/[3760] Speed: 65.294983 samples/sec accuracy=69.495536 loss=1.230440 lr=0.004875 Epoch[172] Batch [2849]/[3760] Speed: 65.262726 samples/sec accuracy=69.480811 loss=1.231392 lr=0.004869 Epoch[172] Batch [2899]/[3760] Speed: 63.718759 samples/sec accuracy=69.480065 loss=1.231676 lr=0.004864 Epoch[172] Batch [2949]/[3760] Speed: 66.659136 samples/sec accuracy=69.482521 loss=1.231558 lr=0.004858 Epoch[172] Batch [2999]/[3760] Speed: 65.282445 samples/sec accuracy=69.476562 loss=1.232047 lr=0.004853 Epoch[172] Batch [3049]/[3760] Speed: 65.482802 samples/sec accuracy=69.493340 loss=1.231755 lr=0.004847 Epoch[172] Batch [3099]/[3760] Speed: 65.324862 samples/sec accuracy=69.500000 loss=1.231170 lr=0.004842 Epoch[172] Batch [3149]/[3760] Speed: 65.719982 samples/sec accuracy=69.492063 loss=1.231220 lr=0.004836 Epoch[172] Batch [3199]/[3760] Speed: 64.294891 samples/sec accuracy=69.500488 loss=1.231058 lr=0.004831 Epoch[172] Batch [3249]/[3760] Speed: 66.065527 samples/sec accuracy=69.505769 loss=1.231112 lr=0.004826 Epoch[172] Batch [3299]/[3760] Speed: 64.671721 samples/sec accuracy=69.489110 loss=1.232173 lr=0.004820 Epoch[172] Batch [3349]/[3760] Speed: 66.068996 samples/sec accuracy=69.496735 loss=1.232270 lr=0.004815 Epoch[172] Batch [3399]/[3760] Speed: 65.269222 samples/sec accuracy=69.496783 loss=1.231975 lr=0.004809 Epoch[172] Batch [3449]/[3760] Speed: 65.861041 samples/sec accuracy=69.481884 loss=1.232491 lr=0.004804 Epoch[172] Batch [3499]/[3760] Speed: 64.570871 samples/sec accuracy=69.486607 loss=1.232759 lr=0.004798 Epoch[172] Batch [3549]/[3760] Speed: 65.599305 samples/sec accuracy=69.472271 loss=1.233536 lr=0.004793 Epoch[172] Batch [3599]/[3760] Speed: 65.337924 samples/sec accuracy=69.461372 loss=1.234027 lr=0.004787 Epoch[172] Batch [3649]/[3760] Speed: 65.818980 samples/sec accuracy=69.455051 loss=1.234244 lr=0.004782 Epoch[172] Batch [3699]/[3760] Speed: 65.354689 samples/sec accuracy=69.432432 loss=1.234812 lr=0.004776 Epoch[172] Batch [3749]/[3760] Speed: 68.924062 samples/sec accuracy=69.428333 loss=1.234343 lr=0.004771 Batch [0049]/[0303]: acc-top1=63.500000 acc-top5=84.375000 Batch [0099]/[0303]: acc-top1=63.375000 acc-top5=84.359375 Batch [0149]/[0303]: acc-top1=63.375000 acc-top5=84.416667 Batch [0199]/[0303]: acc-top1=63.320312 acc-top5=84.460938 Batch [0249]/[0303]: acc-top1=63.712500 acc-top5=84.593750 Batch [0299]/[0303]: acc-top1=63.614583 acc-top5=84.619792 [Epoch 172] training: accuracy=69.431516 loss=1.234246 [Epoch 172] speed: 64 samples/sec time cost: 3985.198649 [Epoch 172] validation: acc-top1=63.629332 acc-top5=84.622525 loss=1.715757 Epoch[173] Batch [0049]/[3760] Speed: 43.415124 samples/sec accuracy=69.750000 loss=1.249970 lr=0.004764 Epoch[173] Batch [0099]/[3760] Speed: 63.364886 samples/sec accuracy=70.140625 loss=1.223664 lr=0.004759 Epoch[173] Batch [0149]/[3760] Speed: 64.580640 samples/sec accuracy=70.625000 loss=1.191484 lr=0.004754 Epoch[173] Batch [0199]/[3760] Speed: 63.943720 samples/sec accuracy=70.296875 loss=1.203859 lr=0.004748 Epoch[173] Batch [0249]/[3760] Speed: 64.892663 samples/sec accuracy=70.350000 loss=1.196494 lr=0.004743 Epoch[173] Batch [0299]/[3760] Speed: 63.559776 samples/sec accuracy=70.302083 loss=1.197417 lr=0.004737 Epoch[173] Batch [0349]/[3760] Speed: 65.517705 samples/sec accuracy=70.375000 loss=1.195054 lr=0.004732 Epoch[173] Batch [0399]/[3760] Speed: 64.167763 samples/sec accuracy=70.386719 loss=1.198893 lr=0.004726 Epoch[173] Batch [0449]/[3760] Speed: 64.781353 samples/sec accuracy=70.357639 loss=1.197294 lr=0.004721 Epoch[173] Batch [0499]/[3760] Speed: 64.127076 samples/sec accuracy=70.262500 loss=1.197909 lr=0.004716 Epoch[173] Batch [0549]/[3760] Speed: 64.950058 samples/sec accuracy=70.269886 loss=1.198133 lr=0.004710 Epoch[173] Batch [0599]/[3760] Speed: 62.975382 samples/sec accuracy=70.190104 loss=1.201947 lr=0.004705 Epoch[173] Batch [0649]/[3760] Speed: 65.299325 samples/sec accuracy=70.197115 loss=1.200224 lr=0.004699 Epoch[173] Batch [0699]/[3760] Speed: 64.652974 samples/sec accuracy=70.131696 loss=1.200719 lr=0.004694 Epoch[173] Batch [0749]/[3760] Speed: 65.244688 samples/sec accuracy=70.162500 loss=1.200449 lr=0.004689 Epoch[173] Batch [0799]/[3760] Speed: 64.768165 samples/sec accuracy=70.148438 loss=1.201873 lr=0.004683 Epoch[173] Batch [0849]/[3760] Speed: 63.613616 samples/sec accuracy=70.187500 loss=1.200788 lr=0.004678 Epoch[173] Batch [0899]/[3760] Speed: 66.082267 samples/sec accuracy=70.218750 loss=1.198305 lr=0.004672 Epoch[173] Batch [0949]/[3760] Speed: 65.681322 samples/sec accuracy=70.212171 loss=1.197948 lr=0.004667 Epoch[173] Batch [0999]/[3760] Speed: 65.311190 samples/sec accuracy=70.231250 loss=1.198523 lr=0.004662 Epoch[173] Batch [1049]/[3760] Speed: 65.284964 samples/sec accuracy=70.235119 loss=1.198578 lr=0.004656 Epoch[173] Batch [1099]/[3760] Speed: 65.553652 samples/sec accuracy=70.254261 loss=1.197195 lr=0.004651 Epoch[173] Batch [1149]/[3760] Speed: 64.602754 samples/sec accuracy=70.273098 loss=1.196310 lr=0.004645 Epoch[173] Batch [1199]/[3760] Speed: 66.015163 samples/sec accuracy=70.315104 loss=1.196747 lr=0.004640 Epoch[173] Batch [1249]/[3760] Speed: 65.587820 samples/sec accuracy=70.390000 loss=1.194993 lr=0.004635 Epoch[173] Batch [1299]/[3760] Speed: 65.482067 samples/sec accuracy=70.393029 loss=1.194329 lr=0.004629 Epoch[173] Batch [1349]/[3760] Speed: 65.600795 samples/sec accuracy=70.388889 loss=1.195601 lr=0.004624 Epoch[173] Batch [1399]/[3760] Speed: 65.424467 samples/sec accuracy=70.378348 loss=1.195808 lr=0.004619 Epoch[173] Batch [1449]/[3760] Speed: 64.704076 samples/sec accuracy=70.403017 loss=1.194853 lr=0.004613 Epoch[173] Batch [1499]/[3760] Speed: 65.968908 samples/sec accuracy=70.395833 loss=1.194716 lr=0.004608 Epoch[173] Batch [1549]/[3760] Speed: 64.775146 samples/sec accuracy=70.413306 loss=1.193335 lr=0.004603 Epoch[173] Batch [1599]/[3760] Speed: 65.481308 samples/sec accuracy=70.383789 loss=1.195272 lr=0.004597 Epoch[173] Batch [1649]/[3760] Speed: 64.419587 samples/sec accuracy=70.359848 loss=1.197221 lr=0.004592 Epoch[173] Batch [1699]/[3760] Speed: 66.172223 samples/sec accuracy=70.377757 loss=1.196347 lr=0.004587 Epoch[173] Batch [1749]/[3760] Speed: 63.591864 samples/sec accuracy=70.358036 loss=1.196953 lr=0.004581 Epoch[173] Batch [1799]/[3760] Speed: 65.482856 samples/sec accuracy=70.352431 loss=1.196717 lr=0.004576 Epoch[173] Batch [1849]/[3760] Speed: 63.868191 samples/sec accuracy=70.391047 loss=1.195219 lr=0.004571 Epoch[173] Batch [1899]/[3760] Speed: 65.749052 samples/sec accuracy=70.377467 loss=1.195388 lr=0.004565 Epoch[173] Batch [1949]/[3760] Speed: 63.403307 samples/sec accuracy=70.420673 loss=1.194022 lr=0.004560 Epoch[173] Batch [1999]/[3760] Speed: 64.285128 samples/sec accuracy=70.391406 loss=1.195501 lr=0.004555 Epoch[173] Batch [2049]/[3760] Speed: 63.997767 samples/sec accuracy=70.367378 loss=1.196065 lr=0.004549 Epoch[173] Batch [2099]/[3760] Speed: 65.146479 samples/sec accuracy=70.364583 loss=1.196220 lr=0.004544 Epoch[173] Batch [2149]/[3760] Speed: 64.455726 samples/sec accuracy=70.336483 loss=1.197356 lr=0.004539 Epoch[173] Batch [2199]/[3760] Speed: 65.168200 samples/sec accuracy=70.314631 loss=1.198726 lr=0.004533 Epoch[173] Batch [2249]/[3760] Speed: 64.895258 samples/sec accuracy=70.336806 loss=1.198644 lr=0.004528 Epoch[173] Batch [2299]/[3760] Speed: 64.345216 samples/sec accuracy=70.279212 loss=1.201033 lr=0.004523 Epoch[173] Batch [2349]/[3760] Speed: 65.451092 samples/sec accuracy=70.303191 loss=1.200107 lr=0.004517 Epoch[173] Batch [2399]/[3760] Speed: 64.777462 samples/sec accuracy=70.315755 loss=1.199587 lr=0.004512 Epoch[173] Batch [2449]/[3760] Speed: 65.091504 samples/sec accuracy=70.307398 loss=1.199512 lr=0.004507 Epoch[173] Batch [2499]/[3760] Speed: 64.436262 samples/sec accuracy=70.274375 loss=1.201492 lr=0.004501 Epoch[173] Batch [2549]/[3760] Speed: 64.937807 samples/sec accuracy=70.278799 loss=1.201558 lr=0.004496 Epoch[173] Batch [2599]/[3760] Speed: 63.179805 samples/sec accuracy=70.257812 loss=1.201846 lr=0.004491 Epoch[173] Batch [2649]/[3760] Speed: 65.212331 samples/sec accuracy=70.252358 loss=1.202139 lr=0.004486 Epoch[173] Batch [2699]/[3760] Speed: 64.015541 samples/sec accuracy=70.240162 loss=1.202695 lr=0.004480 Epoch[173] Batch [2749]/[3760] Speed: 65.275056 samples/sec accuracy=70.207386 loss=1.203166 lr=0.004475 Epoch[173] Batch [2799]/[3760] Speed: 63.314857 samples/sec accuracy=70.231027 loss=1.202512 lr=0.004470 Epoch[173] Batch [2849]/[3760] Speed: 63.873585 samples/sec accuracy=70.233553 loss=1.202858 lr=0.004464 Epoch[173] Batch [2899]/[3760] Speed: 64.728709 samples/sec accuracy=70.231142 loss=1.202964 lr=0.004459 Epoch[173] Batch [2949]/[3760] Speed: 65.909458 samples/sec accuracy=70.203919 loss=1.203320 lr=0.004454 Epoch[173] Batch [2999]/[3760] Speed: 64.693130 samples/sec accuracy=70.195833 loss=1.203564 lr=0.004449 Epoch[173] Batch [3049]/[3760] Speed: 65.313531 samples/sec accuracy=70.199795 loss=1.203368 lr=0.004443 Epoch[173] Batch [3099]/[3760] Speed: 64.930663 samples/sec accuracy=70.191532 loss=1.204070 lr=0.004438 Epoch[173] Batch [3149]/[3760] Speed: 64.357063 samples/sec accuracy=70.184524 loss=1.204346 lr=0.004433 Epoch[173] Batch [3199]/[3760] Speed: 65.060216 samples/sec accuracy=70.194824 loss=1.203964 lr=0.004428 Epoch[173] Batch [3249]/[3760] Speed: 65.272054 samples/sec accuracy=70.206250 loss=1.203641 lr=0.004422 Epoch[173] Batch [3299]/[3760] Speed: 65.704655 samples/sec accuracy=70.205966 loss=1.203787 lr=0.004417 Epoch[173] Batch [3349]/[3760] Speed: 65.197447 samples/sec accuracy=70.209888 loss=1.203755 lr=0.004412 Epoch[173] Batch [3399]/[3760] Speed: 65.480116 samples/sec accuracy=70.189338 loss=1.204361 lr=0.004407 Epoch[173] Batch [3449]/[3760] Speed: 64.086692 samples/sec accuracy=70.170743 loss=1.205088 lr=0.004401 Epoch[173] Batch [3499]/[3760] Speed: 65.563559 samples/sec accuracy=70.164286 loss=1.205380 lr=0.004396 Epoch[173] Batch [3549]/[3760] Speed: 65.195383 samples/sec accuracy=70.142606 loss=1.206131 lr=0.004391 Epoch[173] Batch [3599]/[3760] Speed: 65.105706 samples/sec accuracy=70.131510 loss=1.206842 lr=0.004386 Epoch[173] Batch [3649]/[3760] Speed: 64.920545 samples/sec accuracy=70.127997 loss=1.206737 lr=0.004380 Epoch[173] Batch [3699]/[3760] Speed: 63.846456 samples/sec accuracy=70.092061 loss=1.207813 lr=0.004375 Epoch[173] Batch [3749]/[3760] Speed: 69.365307 samples/sec accuracy=70.112917 loss=1.207798 lr=0.004370 Batch [0049]/[0303]: acc-top1=62.968750 acc-top5=84.468750 Batch [0099]/[0303]: acc-top1=63.562500 acc-top5=84.546875 Batch [0149]/[0303]: acc-top1=63.791667 acc-top5=84.625000 Batch [0199]/[0303]: acc-top1=63.789063 acc-top5=84.703125 Batch [0249]/[0303]: acc-top1=63.975000 acc-top5=84.843750 Batch [0299]/[0303]: acc-top1=64.026042 acc-top5=84.859375 [Epoch 173] training: accuracy=70.108876 loss=1.207932 [Epoch 173] speed: 64 samples/sec time cost: 4007.923107 [Epoch 173] validation: acc-top1=64.026403 acc-top5=84.839109 loss=1.694943 Epoch[174] Batch [0049]/[3759] Speed: 44.288625 samples/sec accuracy=71.500000 loss=1.165618 lr=0.004364 Epoch[174] Batch [0099]/[3759] Speed: 63.556952 samples/sec accuracy=71.453125 loss=1.165664 lr=0.004359 Epoch[174] Batch [0149]/[3759] Speed: 64.803010 samples/sec accuracy=71.447917 loss=1.165966 lr=0.004353 Epoch[174] Batch [0199]/[3759] Speed: 63.983178 samples/sec accuracy=71.625000 loss=1.152457 lr=0.004348 Epoch[174] Batch [0249]/[3759] Speed: 64.418537 samples/sec accuracy=71.706250 loss=1.146306 lr=0.004343 Epoch[174] Batch [0299]/[3759] Speed: 63.850319 samples/sec accuracy=71.614583 loss=1.147899 lr=0.004338 Epoch[174] Batch [0349]/[3759] Speed: 65.631042 samples/sec accuracy=71.531250 loss=1.148945 lr=0.004332 Epoch[174] Batch [0399]/[3759] Speed: 64.716798 samples/sec accuracy=71.476562 loss=1.150203 lr=0.004327 Epoch[174] Batch [0449]/[3759] Speed: 66.213100 samples/sec accuracy=71.184028 loss=1.158752 lr=0.004322 Epoch[174] Batch 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accuracy=70.854441 loss=1.169873 lr=0.004173 Epoch[174] Batch [1949]/[3759] Speed: 65.738137 samples/sec accuracy=70.854968 loss=1.170182 lr=0.004168 Epoch[174] Batch [1999]/[3759] Speed: 66.117325 samples/sec accuracy=70.838281 loss=1.170534 lr=0.004163 Epoch[174] Batch [2049]/[3759] Speed: 65.641189 samples/sec accuracy=70.839939 loss=1.170496 lr=0.004157 Epoch[174] Batch [2099]/[3759] Speed: 66.093864 samples/sec accuracy=70.820685 loss=1.171199 lr=0.004152 Epoch[174] Batch [2149]/[3759] Speed: 64.697177 samples/sec accuracy=70.814680 loss=1.171622 lr=0.004147 Epoch[174] Batch [2199]/[3759] Speed: 66.270738 samples/sec accuracy=70.801847 loss=1.172423 lr=0.004142 Epoch[174] Batch [2249]/[3759] Speed: 65.548794 samples/sec accuracy=70.752083 loss=1.173679 lr=0.004137 Epoch[174] Batch [2299]/[3759] Speed: 65.914826 samples/sec accuracy=70.769022 loss=1.173361 lr=0.004132 Epoch[174] Batch [2349]/[3759] Speed: 65.633306 samples/sec accuracy=70.730053 loss=1.174363 lr=0.004127 Epoch[174] 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accuracy=70.689145 loss=1.176568 lr=0.004076 Epoch[174] Batch [2899]/[3759] Speed: 65.808212 samples/sec accuracy=70.712284 loss=1.175675 lr=0.004071 Epoch[174] Batch [2949]/[3759] Speed: 66.210304 samples/sec accuracy=70.697034 loss=1.177003 lr=0.004066 Epoch[174] Batch [2999]/[3759] Speed: 64.969533 samples/sec accuracy=70.696875 loss=1.177093 lr=0.004061 Epoch[174] Batch [3049]/[3759] Speed: 66.024208 samples/sec accuracy=70.686475 loss=1.177674 lr=0.004056 Epoch[174] Batch [3099]/[3759] Speed: 65.907753 samples/sec accuracy=70.697077 loss=1.177479 lr=0.004051 Epoch[174] Batch [3149]/[3759] Speed: 65.725797 samples/sec accuracy=70.711310 loss=1.177493 lr=0.004046 Epoch[174] Batch [3199]/[3759] Speed: 66.277309 samples/sec accuracy=70.697754 loss=1.178149 lr=0.004041 Epoch[174] Batch [3249]/[3759] Speed: 65.298111 samples/sec accuracy=70.709135 loss=1.177430 lr=0.004036 Epoch[174] Batch [3299]/[3759] Speed: 65.780318 samples/sec accuracy=70.718277 loss=1.177303 lr=0.004031 Epoch[174] Batch [3349]/[3759] Speed: 65.769665 samples/sec accuracy=70.730410 loss=1.176879 lr=0.004026 Epoch[174] Batch [3399]/[3759] Speed: 65.945069 samples/sec accuracy=70.740349 loss=1.175959 lr=0.004021 Epoch[174] Batch [3449]/[3759] Speed: 65.817004 samples/sec accuracy=70.733696 loss=1.176033 lr=0.004016 Epoch[174] Batch [3499]/[3759] Speed: 66.064875 samples/sec accuracy=70.733036 loss=1.175929 lr=0.004011 Epoch[174] Batch [3549]/[3759] Speed: 65.260917 samples/sec accuracy=70.712148 loss=1.176333 lr=0.004006 Epoch[174] Batch [3599]/[3759] Speed: 65.803264 samples/sec accuracy=70.691840 loss=1.177481 lr=0.004001 Epoch[174] Batch [3649]/[3759] Speed: 65.734309 samples/sec accuracy=70.700771 loss=1.177435 lr=0.003996 Epoch[174] Batch [3699]/[3759] Speed: 65.687800 samples/sec accuracy=70.704814 loss=1.177550 lr=0.003991 Epoch[174] Batch [3749]/[3759] Speed: 69.845503 samples/sec accuracy=70.704167 loss=1.177879 lr=0.003986 Batch [0049]/[0303]: acc-top1=62.750000 acc-top5=84.968750 Batch [0099]/[0303]: acc-top1=63.796875 acc-top5=85.187500 Batch [0149]/[0303]: acc-top1=63.833333 acc-top5=85.125000 Batch [0199]/[0303]: acc-top1=63.921875 acc-top5=84.984375 Batch [0249]/[0303]: acc-top1=64.156250 acc-top5=85.131250 Batch [0299]/[0303]: acc-top1=64.213542 acc-top5=85.125000 [Epoch 174] training: accuracy=70.707801 loss=1.177738 [Epoch 174] speed: 65 samples/sec time cost: 3966.070160 [Epoch 174] validation: acc-top1=64.217203 acc-top5=85.102104 loss=1.658225 Epoch[175] Batch [0049]/[3760] Speed: 43.687139 samples/sec accuracy=73.125000 loss=1.107354 lr=0.003980 Epoch[175] Batch [0099]/[3760] Speed: 63.970100 samples/sec accuracy=72.890625 loss=1.109647 lr=0.003975 Epoch[175] Batch [0149]/[3760] Speed: 64.836680 samples/sec accuracy=72.229167 loss=1.136583 lr=0.003970 Epoch[175] Batch [0199]/[3760] Speed: 64.749313 samples/sec accuracy=71.992188 loss=1.139572 lr=0.003965 Epoch[175] Batch [0249]/[3760] Speed: 65.575917 samples/sec accuracy=71.962500 loss=1.134430 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lr=0.003866 Epoch[175] Batch [1249]/[3760] Speed: 65.736083 samples/sec accuracy=71.725000 loss=1.139337 lr=0.003861 Epoch[175] Batch [1299]/[3760] Speed: 65.163647 samples/sec accuracy=71.734375 loss=1.139531 lr=0.003856 Epoch[175] Batch [1349]/[3760] Speed: 66.067007 samples/sec accuracy=71.725694 loss=1.140385 lr=0.003851 Epoch[175] Batch [1399]/[3760] Speed: 63.924369 samples/sec accuracy=71.734375 loss=1.139353 lr=0.003846 Epoch[175] Batch [1449]/[3760] Speed: 66.307118 samples/sec accuracy=71.686422 loss=1.140690 lr=0.003841 Epoch[175] Batch [1499]/[3760] Speed: 65.546997 samples/sec accuracy=71.686458 loss=1.141522 lr=0.003837 Epoch[175] Batch [1549]/[3760] Speed: 65.809931 samples/sec accuracy=71.702621 loss=1.140833 lr=0.003832 Epoch[175] Batch [1599]/[3760] Speed: 65.440378 samples/sec accuracy=71.665039 loss=1.142588 lr=0.003827 Epoch[175] Batch [1649]/[3760] Speed: 65.249162 samples/sec accuracy=71.648674 loss=1.143129 lr=0.003822 Epoch[175] Batch [1699]/[3760] Speed: 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lr=0.003773 Epoch[175] Batch [2199]/[3760] Speed: 65.714355 samples/sec accuracy=71.569602 loss=1.147866 lr=0.003768 Epoch[175] Batch [2249]/[3760] Speed: 65.015386 samples/sec accuracy=71.561111 loss=1.147291 lr=0.003763 Epoch[175] Batch [2299]/[3760] Speed: 65.192861 samples/sec accuracy=71.549592 loss=1.148173 lr=0.003759 Epoch[175] Batch [2349]/[3760] Speed: 65.770709 samples/sec accuracy=71.547872 loss=1.148858 lr=0.003754 Epoch[175] Batch [2399]/[3760] Speed: 65.788714 samples/sec accuracy=71.557292 loss=1.148680 lr=0.003749 Epoch[175] Batch [2449]/[3760] Speed: 65.866798 samples/sec accuracy=71.535714 loss=1.149033 lr=0.003744 Epoch[175] Batch [2499]/[3760] Speed: 65.848140 samples/sec accuracy=71.521875 loss=1.149263 lr=0.003739 Epoch[175] Batch [2549]/[3760] Speed: 65.084445 samples/sec accuracy=71.492034 loss=1.150329 lr=0.003734 Epoch[175] Batch [2599]/[3760] Speed: 65.738168 samples/sec accuracy=71.484976 loss=1.150934 lr=0.003729 Epoch[175] Batch [2649]/[3760] Speed: 65.666460 samples/sec accuracy=71.476415 loss=1.151627 lr=0.003725 Epoch[175] Batch [2699]/[3760] Speed: 65.837725 samples/sec accuracy=71.455440 loss=1.152332 lr=0.003720 Epoch[175] Batch [2749]/[3760] Speed: 66.117828 samples/sec accuracy=71.410795 loss=1.154308 lr=0.003715 Epoch[175] Batch [2799]/[3760] Speed: 65.019775 samples/sec accuracy=71.408482 loss=1.154048 lr=0.003710 Epoch[175] Batch [2849]/[3760] Speed: 65.479905 samples/sec accuracy=71.423246 loss=1.152876 lr=0.003705 Epoch[175] Batch [2899]/[3760] Speed: 66.113520 samples/sec accuracy=71.420259 loss=1.152995 lr=0.003700 Epoch[175] Batch [2949]/[3760] Speed: 65.001618 samples/sec accuracy=71.435911 loss=1.152662 lr=0.003696 Epoch[175] Batch [2999]/[3760] Speed: 65.957430 samples/sec accuracy=71.440104 loss=1.152647 lr=0.003691 Epoch[175] Batch [3049]/[3760] Speed: 65.437512 samples/sec accuracy=71.436475 loss=1.152567 lr=0.003686 Epoch[175] Batch [3099]/[3760] Speed: 65.398800 samples/sec accuracy=71.451109 loss=1.152256 lr=0.003681 Epoch[175] Batch [3149]/[3760] Speed: 65.226529 samples/sec accuracy=71.437004 loss=1.152839 lr=0.003676 Epoch[175] Batch [3199]/[3760] Speed: 65.837663 samples/sec accuracy=71.409180 loss=1.153831 lr=0.003672 Epoch[175] Batch [3249]/[3760] Speed: 64.885184 samples/sec accuracy=71.419712 loss=1.153225 lr=0.003667 Epoch[175] Batch [3299]/[3760] Speed: 65.618476 samples/sec accuracy=71.409564 loss=1.152990 lr=0.003662 Epoch[175] Batch [3349]/[3760] Speed: 63.942290 samples/sec accuracy=71.389925 loss=1.153415 lr=0.003657 Epoch[175] Batch [3399]/[3760] Speed: 66.382707 samples/sec accuracy=71.402114 loss=1.152948 lr=0.003652 Epoch[175] Batch [3449]/[3760] Speed: 64.419741 samples/sec accuracy=71.393569 loss=1.153047 lr=0.003648 Epoch[175] Batch [3499]/[3760] Speed: 66.041075 samples/sec accuracy=71.397768 loss=1.153164 lr=0.003643 Epoch[175] Batch [3549]/[3760] Speed: 64.774915 samples/sec accuracy=71.370599 loss=1.153796 lr=0.003638 Epoch[175] Batch [3599]/[3760] Speed: 65.377877 samples/sec accuracy=71.382812 loss=1.153539 lr=0.003633 Epoch[175] Batch [3649]/[3760] Speed: 63.777887 samples/sec accuracy=71.387842 loss=1.153450 lr=0.003629 Epoch[175] Batch [3699]/[3760] Speed: 65.389598 samples/sec accuracy=71.366554 loss=1.153975 lr=0.003624 Epoch[175] Batch [3749]/[3760] Speed: 68.198219 samples/sec accuracy=71.373750 loss=1.153951 lr=0.003619 Batch [0049]/[0303]: acc-top1=62.812500 acc-top5=84.531250 Batch [0099]/[0303]: acc-top1=63.859375 acc-top5=84.781250 Batch [0149]/[0303]: acc-top1=63.791667 acc-top5=84.906250 Batch [0199]/[0303]: acc-top1=63.882812 acc-top5=84.875000 Batch [0249]/[0303]: acc-top1=64.281250 acc-top5=85.131250 Batch [0299]/[0303]: acc-top1=64.463542 acc-top5=85.083333 [Epoch 175] training: accuracy=71.369681 loss=1.154121 [Epoch 175] speed: 64 samples/sec time cost: 3979.962479 [Epoch 175] validation: acc-top1=64.475041 acc-top5=85.091790 loss=1.665879 Epoch[176] Batch [0049]/[3760] Speed: 43.977252 samples/sec accuracy=71.593750 loss=1.107779 lr=0.003613 Epoch[176] Batch [0099]/[3760] Speed: 63.484522 samples/sec accuracy=72.015625 loss=1.098852 lr=0.003609 Epoch[176] Batch [0149]/[3760] Speed: 64.281209 samples/sec accuracy=72.322917 loss=1.086562 lr=0.003604 Epoch[176] Batch [0199]/[3760] Speed: 63.915323 samples/sec accuracy=72.203125 loss=1.103346 lr=0.003599 Epoch[176] Batch [0249]/[3760] Speed: 65.095988 samples/sec accuracy=72.456250 loss=1.099008 lr=0.003594 Epoch[176] Batch [0299]/[3760] Speed: 63.928051 samples/sec accuracy=72.343750 loss=1.106249 lr=0.003590 Epoch[176] Batch [0349]/[3760] Speed: 65.843466 samples/sec accuracy=72.392857 loss=1.102911 lr=0.003585 Epoch[176] Batch [0399]/[3760] Speed: 62.798091 samples/sec accuracy=72.707031 loss=1.092933 lr=0.003580 Epoch[176] Batch [0449]/[3760] Speed: 66.460472 samples/sec accuracy=72.694444 loss=1.094083 lr=0.003575 Epoch[176] Batch [0499]/[3760] Speed: 64.533317 samples/sec accuracy=72.621875 loss=1.096266 lr=0.003571 Epoch[176] 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accuracy=72.431250 loss=1.103191 lr=0.003523 Epoch[176] Batch [1049]/[3760] Speed: 65.584362 samples/sec accuracy=72.397321 loss=1.103967 lr=0.003519 Epoch[176] Batch [1099]/[3760] Speed: 66.009657 samples/sec accuracy=72.343750 loss=1.105653 lr=0.003514 Epoch[176] Batch [1149]/[3760] Speed: 65.341379 samples/sec accuracy=72.270380 loss=1.107567 lr=0.003509 Epoch[176] Batch [1199]/[3760] Speed: 65.853275 samples/sec accuracy=72.307292 loss=1.105805 lr=0.003505 Epoch[176] Batch [1249]/[3760] Speed: 64.394614 samples/sec accuracy=72.301250 loss=1.106626 lr=0.003500 Epoch[176] Batch [1299]/[3760] Speed: 66.026607 samples/sec accuracy=72.329327 loss=1.107127 lr=0.003495 Epoch[176] Batch [1349]/[3760] Speed: 65.422704 samples/sec accuracy=72.328704 loss=1.108525 lr=0.003490 Epoch[176] Batch [1399]/[3760] Speed: 65.936810 samples/sec accuracy=72.318080 loss=1.108502 lr=0.003486 Epoch[176] Batch [1449]/[3760] Speed: 65.765340 samples/sec accuracy=72.348060 loss=1.108988 lr=0.003481 Epoch[176] 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accuracy=72.201923 loss=1.113701 lr=0.003434 Epoch[176] Batch [1999]/[3760] Speed: 65.135209 samples/sec accuracy=72.182813 loss=1.114318 lr=0.003430 Epoch[176] Batch [2049]/[3760] Speed: 65.777045 samples/sec accuracy=72.175305 loss=1.113865 lr=0.003425 Epoch[176] Batch [2099]/[3760] Speed: 64.158159 samples/sec accuracy=72.166667 loss=1.114160 lr=0.003421 Epoch[176] Batch [2149]/[3760] Speed: 65.748209 samples/sec accuracy=72.138808 loss=1.114358 lr=0.003416 Epoch[176] Batch [2199]/[3760] Speed: 65.589986 samples/sec accuracy=72.093750 loss=1.116422 lr=0.003411 Epoch[176] Batch [2249]/[3760] Speed: 65.981836 samples/sec accuracy=72.090278 loss=1.116755 lr=0.003407 Epoch[176] Batch [2299]/[3760] Speed: 65.311172 samples/sec accuracy=72.075408 loss=1.117334 lr=0.003402 Epoch[176] Batch [2349]/[3760] Speed: 64.538146 samples/sec accuracy=72.066489 loss=1.117758 lr=0.003397 Epoch[176] Batch [2399]/[3760] Speed: 65.838966 samples/sec accuracy=72.058594 loss=1.119083 lr=0.003393 Epoch[176] 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accuracy=72.054957 loss=1.117420 lr=0.003347 Epoch[176] Batch [2949]/[3760] Speed: 66.717032 samples/sec accuracy=72.046081 loss=1.117731 lr=0.003342 Epoch[176] Batch [2999]/[3760] Speed: 65.661367 samples/sec accuracy=72.052604 loss=1.117243 lr=0.003338 Epoch[176] Batch [3049]/[3760] Speed: 65.801093 samples/sec accuracy=72.032275 loss=1.118166 lr=0.003333 Epoch[176] Batch [3099]/[3760] Speed: 65.737138 samples/sec accuracy=72.046371 loss=1.117507 lr=0.003328 Epoch[176] Batch [3149]/[3760] Speed: 65.653833 samples/sec accuracy=72.056548 loss=1.117363 lr=0.003324 Epoch[176] Batch [3199]/[3760] Speed: 64.701458 samples/sec accuracy=72.045410 loss=1.117570 lr=0.003319 Epoch[176] Batch [3249]/[3760] Speed: 65.858010 samples/sec accuracy=72.052404 loss=1.117379 lr=0.003315 Epoch[176] Batch [3299]/[3760] Speed: 65.693246 samples/sec accuracy=72.075758 loss=1.117077 lr=0.003310 Epoch[176] Batch [3349]/[3760] Speed: 65.639842 samples/sec accuracy=72.074160 loss=1.117066 lr=0.003306 Epoch[176] Batch [3399]/[3760] Speed: 65.557502 samples/sec accuracy=72.073989 loss=1.117238 lr=0.003301 Epoch[176] Batch [3449]/[3760] Speed: 64.199265 samples/sec accuracy=72.082428 loss=1.117048 lr=0.003296 Epoch[176] Batch [3499]/[3760] Speed: 66.804353 samples/sec accuracy=72.075446 loss=1.117476 lr=0.003292 Epoch[176] Batch [3549]/[3760] Speed: 65.882959 samples/sec accuracy=72.060739 loss=1.118242 lr=0.003287 Epoch[176] Batch [3599]/[3760] Speed: 65.960825 samples/sec accuracy=72.050781 loss=1.118605 lr=0.003283 Epoch[176] Batch [3649]/[3760] Speed: 65.449636 samples/sec accuracy=72.029966 loss=1.119382 lr=0.003278 Epoch[176] Batch [3699]/[3760] Speed: 65.669066 samples/sec accuracy=72.038007 loss=1.118826 lr=0.003274 Epoch[176] Batch [3749]/[3760] Speed: 66.842174 samples/sec accuracy=72.015833 loss=1.119280 lr=0.003269 Batch [0049]/[0303]: acc-top1=63.593750 acc-top5=84.843750 Batch [0099]/[0303]: acc-top1=63.968750 acc-top5=85.078125 Batch [0149]/[0303]: acc-top1=64.312500 acc-top5=85.145833 Batch [0199]/[0303]: acc-top1=64.273438 acc-top5=85.062500 Batch [0249]/[0303]: acc-top1=64.562500 acc-top5=85.218750 Batch [0299]/[0303]: acc-top1=64.578125 acc-top5=85.223958 [Epoch 176] training: accuracy=72.014212 loss=1.119446 [Epoch 176] speed: 65 samples/sec time cost: 3975.486916 [Epoch 176] validation: acc-top1=64.562706 acc-top5=85.210396 loss=1.670903 Epoch[177] Batch [0049]/[3759] Speed: 43.955004 samples/sec accuracy=73.968750 loss=1.057128 lr=0.003264 Epoch[177] Batch [0099]/[3759] Speed: 63.691839 samples/sec accuracy=73.203125 loss=1.075733 lr=0.003259 Epoch[177] Batch [0149]/[3759] Speed: 64.826629 samples/sec accuracy=72.802083 loss=1.102187 lr=0.003255 Epoch[177] Batch [0199]/[3759] Speed: 63.972517 samples/sec accuracy=72.601562 loss=1.105587 lr=0.003250 Epoch[177] Batch [0249]/[3759] Speed: 64.784547 samples/sec accuracy=72.775000 loss=1.096735 lr=0.003246 Epoch[177] Batch [0299]/[3759] Speed: 62.068862 samples/sec accuracy=72.765625 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accuracy=72.706676 loss=1.096265 lr=0.003072 Epoch[177] Batch [2249]/[3759] Speed: 65.749182 samples/sec accuracy=72.685417 loss=1.097616 lr=0.003067 Epoch[177] Batch [2299]/[3759] Speed: 64.568037 samples/sec accuracy=72.675272 loss=1.097636 lr=0.003063 Epoch[177] Batch [2349]/[3759] Speed: 65.822322 samples/sec accuracy=72.677527 loss=1.097074 lr=0.003058 Epoch[177] Batch [2399]/[3759] Speed: 65.651946 samples/sec accuracy=72.684896 loss=1.096916 lr=0.003054 Epoch[177] Batch [2449]/[3759] Speed: 65.702946 samples/sec accuracy=72.710459 loss=1.096158 lr=0.003050 Epoch[177] Batch [2499]/[3759] Speed: 65.493592 samples/sec accuracy=72.718125 loss=1.095946 lr=0.003045 Epoch[177] Batch [2549]/[3759] Speed: 65.903238 samples/sec accuracy=72.770221 loss=1.094062 lr=0.003041 Epoch[177] Batch [2599]/[3759] Speed: 64.741707 samples/sec accuracy=72.753606 loss=1.094552 lr=0.003036 Epoch[177] Batch [2649]/[3759] Speed: 65.886019 samples/sec accuracy=72.745873 loss=1.095092 lr=0.003032 Epoch[177] 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accuracy=72.728671 loss=1.095472 lr=0.002988 Epoch[177] Batch [3199]/[3759] Speed: 64.257036 samples/sec accuracy=72.750977 loss=1.094434 lr=0.002984 Epoch[177] Batch [3249]/[3759] Speed: 65.930774 samples/sec accuracy=72.746154 loss=1.094487 lr=0.002980 Epoch[177] Batch [3299]/[3759] Speed: 65.299384 samples/sec accuracy=72.737216 loss=1.095158 lr=0.002975 Epoch[177] Batch [3349]/[3759] Speed: 66.068707 samples/sec accuracy=72.734608 loss=1.095501 lr=0.002971 Epoch[177] Batch [3399]/[3759] Speed: 65.248069 samples/sec accuracy=72.722886 loss=1.096079 lr=0.002967 Epoch[177] Batch [3449]/[3759] Speed: 65.613424 samples/sec accuracy=72.716938 loss=1.096584 lr=0.002962 Epoch[177] Batch [3499]/[3759] Speed: 64.505656 samples/sec accuracy=72.712054 loss=1.096669 lr=0.002958 Epoch[177] Batch [3549]/[3759] Speed: 65.915019 samples/sec accuracy=72.724472 loss=1.096481 lr=0.002954 Epoch[177] Batch [3599]/[3759] Speed: 65.320802 samples/sec accuracy=72.716146 loss=1.096758 lr=0.002949 Epoch[177] Batch [3649]/[3759] Speed: 65.963943 samples/sec accuracy=72.712757 loss=1.096559 lr=0.002945 Epoch[177] Batch [3699]/[3759] Speed: 65.704803 samples/sec accuracy=72.696368 loss=1.097108 lr=0.002941 Epoch[177] Batch [3749]/[3759] Speed: 69.019180 samples/sec accuracy=72.694167 loss=1.097165 lr=0.002937 Batch [0049]/[0303]: acc-top1=64.000000 acc-top5=84.843750 Batch [0099]/[0303]: acc-top1=64.671875 acc-top5=85.015625 Batch [0149]/[0303]: acc-top1=64.802083 acc-top5=85.083333 Batch [0199]/[0303]: acc-top1=64.890625 acc-top5=84.976562 Batch [0249]/[0303]: acc-top1=65.187500 acc-top5=85.137500 Batch [0299]/[0303]: acc-top1=65.302083 acc-top5=85.276042 [Epoch 177] training: accuracy=72.693452 loss=1.097193 [Epoch 177] speed: 64 samples/sec time cost: 3983.207681 [Epoch 177] validation: acc-top1=65.310437 acc-top5=85.272277 loss=1.642784 Epoch[178] Batch [0049]/[3760] Speed: 43.841424 samples/sec accuracy=73.687500 loss=1.027219 lr=0.002931 Epoch[178] Batch [0099]/[3760] Speed: 63.795692 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lr=0.002650 Epoch[178] Batch [3449]/[3760] Speed: 65.288552 samples/sec accuracy=73.283062 loss=1.067907 lr=0.002646 Epoch[178] Batch [3499]/[3760] Speed: 65.125335 samples/sec accuracy=73.287946 loss=1.068193 lr=0.002642 Epoch[178] Batch [3549]/[3760] Speed: 64.676054 samples/sec accuracy=73.303257 loss=1.067690 lr=0.002638 Epoch[178] Batch [3599]/[3760] Speed: 65.493871 samples/sec accuracy=73.299045 loss=1.067737 lr=0.002634 Epoch[178] Batch [3649]/[3760] Speed: 65.830718 samples/sec accuracy=73.297517 loss=1.067913 lr=0.002630 Epoch[178] Batch [3699]/[3760] Speed: 65.538610 samples/sec accuracy=73.296875 loss=1.067856 lr=0.002625 Epoch[178] Batch [3749]/[3760] Speed: 68.727385 samples/sec accuracy=73.292917 loss=1.068313 lr=0.002621 Batch [0049]/[0303]: acc-top1=64.312500 acc-top5=84.906250 Batch [0099]/[0303]: acc-top1=64.828125 acc-top5=85.328125 Batch [0149]/[0303]: acc-top1=64.864583 acc-top5=85.333333 Batch [0199]/[0303]: acc-top1=64.992188 acc-top5=85.179688 Batch [0249]/[0303]: acc-top1=65.156250 acc-top5=85.350000 Batch [0299]/[0303]: acc-top1=65.312500 acc-top5=85.526042 [Epoch 178] training: accuracy=73.292886 loss=1.068371 [Epoch 178] speed: 64 samples/sec time cost: 3980.681294 [Epoch 178] validation: acc-top1=65.331064 acc-top5=85.530116 loss=1.652987 Epoch[179] Batch [0049]/[3760] Speed: 42.906890 samples/sec accuracy=75.281250 loss=1.004610 lr=0.002616 Epoch[179] Batch [0099]/[3760] Speed: 63.673495 samples/sec accuracy=74.640625 loss=1.013417 lr=0.002612 Epoch[179] Batch [0149]/[3760] Speed: 64.862734 samples/sec accuracy=75.020833 loss=0.998957 lr=0.002608 Epoch[179] Batch [0199]/[3760] Speed: 64.064877 samples/sec accuracy=74.984375 loss=1.001083 lr=0.002604 Epoch[179] Batch [0249]/[3760] Speed: 65.712425 samples/sec accuracy=74.706250 loss=1.010389 lr=0.002600 Epoch[179] Batch [0299]/[3760] Speed: 64.153530 samples/sec accuracy=74.734375 loss=1.016725 lr=0.002596 Epoch[179] Batch [0349]/[3760] Speed: 63.790091 samples/sec accuracy=74.808036 loss=1.008784 lr=0.002592 Epoch[179] Batch [0399]/[3760] Speed: 63.884860 samples/sec accuracy=74.699219 loss=1.011875 lr=0.002588 Epoch[179] Batch [0449]/[3760] Speed: 64.883143 samples/sec accuracy=74.642361 loss=1.014297 lr=0.002584 Epoch[179] Batch [0499]/[3760] Speed: 63.673164 samples/sec accuracy=74.543750 loss=1.016860 lr=0.002580 Epoch[179] Batch [0549]/[3760] Speed: 65.642032 samples/sec accuracy=74.718750 loss=1.009098 lr=0.002576 Epoch[179] Batch [0599]/[3760] Speed: 64.181254 samples/sec accuracy=74.705729 loss=1.009283 lr=0.002572 Epoch[179] Batch [0649]/[3760] Speed: 64.825535 samples/sec accuracy=74.716346 loss=1.009534 lr=0.002568 Epoch[179] Batch [0699]/[3760] Speed: 64.644375 samples/sec accuracy=74.698661 loss=1.009207 lr=0.002564 Epoch[179] Batch [0749]/[3760] Speed: 65.545176 samples/sec accuracy=74.664583 loss=1.011027 lr=0.002560 Epoch[179] Batch [0799]/[3760] Speed: 65.081316 samples/sec accuracy=74.568359 loss=1.013828 lr=0.002556 Epoch[179] 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accuracy=74.390625 loss=1.026996 lr=0.002516 Epoch[179] Batch [1349]/[3760] Speed: 64.492612 samples/sec accuracy=74.375000 loss=1.027598 lr=0.002512 Epoch[179] Batch [1399]/[3760] Speed: 65.811619 samples/sec accuracy=74.297991 loss=1.029578 lr=0.002508 Epoch[179] Batch [1449]/[3760] Speed: 65.038976 samples/sec accuracy=74.256466 loss=1.030717 lr=0.002504 Epoch[179] Batch [1499]/[3760] Speed: 64.676566 samples/sec accuracy=74.259375 loss=1.030562 lr=0.002500 Epoch[179] Batch [1549]/[3760] Speed: 64.478175 samples/sec accuracy=74.251008 loss=1.030109 lr=0.002496 Epoch[179] Batch [1599]/[3760] Speed: 65.431553 samples/sec accuracy=74.230469 loss=1.031382 lr=0.002492 Epoch[179] Batch [1649]/[3760] Speed: 64.737446 samples/sec accuracy=74.224432 loss=1.032748 lr=0.002488 Epoch[179] Batch [1699]/[3760] Speed: 65.407200 samples/sec accuracy=74.236213 loss=1.032700 lr=0.002484 Epoch[179] Batch [1749]/[3760] Speed: 63.852205 samples/sec accuracy=74.211607 loss=1.032957 lr=0.002480 Epoch[179] 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accuracy=74.128472 loss=1.036078 lr=0.002440 Epoch[179] Batch [2299]/[3760] Speed: 63.912593 samples/sec accuracy=74.134511 loss=1.036217 lr=0.002436 Epoch[179] Batch [2349]/[3760] Speed: 66.054961 samples/sec accuracy=74.146941 loss=1.035682 lr=0.002432 Epoch[179] Batch [2399]/[3760] Speed: 65.870622 samples/sec accuracy=74.138672 loss=1.036148 lr=0.002428 Epoch[179] Batch [2449]/[3760] Speed: 65.200383 samples/sec accuracy=74.141582 loss=1.036078 lr=0.002425 Epoch[179] Batch [2499]/[3760] Speed: 65.630520 samples/sec accuracy=74.149375 loss=1.035512 lr=0.002421 Epoch[179] Batch [2549]/[3760] Speed: 65.358360 samples/sec accuracy=74.139093 loss=1.035527 lr=0.002417 Epoch[179] Batch [2599]/[3760] Speed: 64.761629 samples/sec accuracy=74.155649 loss=1.035138 lr=0.002413 Epoch[179] Batch [2649]/[3760] Speed: 65.475984 samples/sec accuracy=74.155660 loss=1.035017 lr=0.002409 Epoch[179] Batch [2699]/[3760] Speed: 65.264128 samples/sec accuracy=74.142940 loss=1.035524 lr=0.002405 Epoch[179] 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accuracy=74.146973 loss=1.035346 lr=0.002366 Epoch[179] Batch [3249]/[3760] Speed: 65.230734 samples/sec accuracy=74.125962 loss=1.036170 lr=0.002362 Epoch[179] Batch [3299]/[3760] Speed: 64.709651 samples/sec accuracy=74.105587 loss=1.037073 lr=0.002358 Epoch[179] Batch [3349]/[3760] Speed: 65.517790 samples/sec accuracy=74.113340 loss=1.036810 lr=0.002354 Epoch[179] Batch [3399]/[3760] Speed: 63.963022 samples/sec accuracy=74.127298 loss=1.036528 lr=0.002351 Epoch[179] Batch [3449]/[3760] Speed: 63.846574 samples/sec accuracy=74.116848 loss=1.036697 lr=0.002347 Epoch[179] Batch [3499]/[3760] Speed: 63.973120 samples/sec accuracy=74.107143 loss=1.037161 lr=0.002343 Epoch[179] Batch [3549]/[3760] Speed: 65.752787 samples/sec accuracy=74.100352 loss=1.037475 lr=0.002339 Epoch[179] Batch [3599]/[3760] Speed: 64.502177 samples/sec accuracy=74.101128 loss=1.037664 lr=0.002335 Epoch[179] Batch [3649]/[3760] Speed: 65.416592 samples/sec accuracy=74.076627 loss=1.038358 lr=0.002331 Epoch[179] Batch [3699]/[3760] Speed: 64.651230 samples/sec accuracy=74.080236 loss=1.038035 lr=0.002327 Epoch[179] Batch [3749]/[3760] Speed: 67.870228 samples/sec accuracy=74.082083 loss=1.038059 lr=0.002324 Batch [0049]/[0303]: acc-top1=64.000000 acc-top5=84.781250 Batch [0099]/[0303]: acc-top1=64.625000 acc-top5=85.000000 Batch [0149]/[0303]: acc-top1=64.812500 acc-top5=85.197917 Batch [0199]/[0303]: acc-top1=64.867188 acc-top5=85.046875 Batch [0249]/[0303]: acc-top1=65.131250 acc-top5=85.168750 Batch [0299]/[0303]: acc-top1=65.213542 acc-top5=85.270833 [Epoch 179] training: accuracy=74.080785 loss=1.038007 [Epoch 179] speed: 64 samples/sec time cost: 4001.492630 [Epoch 179] validation: acc-top1=65.181518 acc-top5=85.251650 loss=1.657982 Epoch[180] Batch [0049]/[3759] Speed: 43.615418 samples/sec accuracy=74.468750 loss=1.039743 lr=0.002319 Epoch[180] Batch [0099]/[3759] Speed: 63.428289 samples/sec accuracy=74.656250 loss=1.026779 lr=0.002315 Epoch[180] Batch [0149]/[3759] Speed: 64.036103 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lr=0.002205 Epoch[180] Batch [1599]/[3759] Speed: 65.678167 samples/sec accuracy=74.569336 loss=1.022425 lr=0.002201 Epoch[180] Batch [1649]/[3759] Speed: 63.582811 samples/sec accuracy=74.557765 loss=1.021856 lr=0.002198 Epoch[180] Batch [1699]/[3759] Speed: 66.511803 samples/sec accuracy=74.588235 loss=1.019465 lr=0.002194 Epoch[180] Batch [1749]/[3759] Speed: 65.167049 samples/sec accuracy=74.568750 loss=1.018702 lr=0.002190 Epoch[180] Batch [1799]/[3759] Speed: 66.295467 samples/sec accuracy=74.588542 loss=1.018024 lr=0.002187 Epoch[180] Batch [1849]/[3759] Speed: 65.230978 samples/sec accuracy=74.572635 loss=1.017987 lr=0.002183 Epoch[180] Batch [1899]/[3759] Speed: 65.584903 samples/sec accuracy=74.578125 loss=1.017591 lr=0.002179 Epoch[180] Batch [1949]/[3759] Speed: 64.566224 samples/sec accuracy=74.626603 loss=1.016535 lr=0.002175 Epoch[180] Batch [1999]/[3759] Speed: 65.886386 samples/sec accuracy=74.621875 loss=1.016999 lr=0.002172 Epoch[180] Batch [2049]/[3759] Speed: 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lr=0.002135 Epoch[180] Batch [2549]/[3759] Speed: 66.180240 samples/sec accuracy=74.715074 loss=1.014954 lr=0.002131 Epoch[180] Batch [2599]/[3759] Speed: 65.307182 samples/sec accuracy=74.716947 loss=1.014729 lr=0.002127 Epoch[180] Batch [2649]/[3759] Speed: 65.428112 samples/sec accuracy=74.739387 loss=1.013211 lr=0.002124 Epoch[180] Batch [2699]/[3759] Speed: 65.566109 samples/sec accuracy=74.743634 loss=1.013334 lr=0.002120 Epoch[180] Batch [2749]/[3759] Speed: 65.566388 samples/sec accuracy=74.727841 loss=1.013720 lr=0.002116 Epoch[180] Batch [2799]/[3759] Speed: 64.775759 samples/sec accuracy=74.743862 loss=1.013838 lr=0.002113 Epoch[180] Batch [2849]/[3759] Speed: 65.642430 samples/sec accuracy=74.715461 loss=1.014455 lr=0.002109 Epoch[180] Batch [2899]/[3759] Speed: 65.384288 samples/sec accuracy=74.703125 loss=1.014664 lr=0.002105 Epoch[180] Batch [2949]/[3759] Speed: 65.196843 samples/sec accuracy=74.692797 loss=1.014789 lr=0.002102 Epoch[180] Batch [2999]/[3759] Speed: 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lr=0.002065 Epoch[180] Batch [3499]/[3759] Speed: 64.807247 samples/sec accuracy=74.736607 loss=1.013289 lr=0.002061 Epoch[180] Batch [3549]/[3759] Speed: 65.529668 samples/sec accuracy=74.731514 loss=1.013242 lr=0.002058 Epoch[180] Batch [3599]/[3759] Speed: 65.303820 samples/sec accuracy=74.719618 loss=1.014186 lr=0.002054 Epoch[180] Batch [3649]/[3759] Speed: 64.253042 samples/sec accuracy=74.726884 loss=1.013767 lr=0.002051 Epoch[180] Batch [3699]/[3759] Speed: 65.349436 samples/sec accuracy=74.706503 loss=1.014495 lr=0.002047 Epoch[180] Batch [3749]/[3759] Speed: 68.378742 samples/sec accuracy=74.705417 loss=1.014288 lr=0.002043 Batch [0049]/[0303]: acc-top1=64.531250 acc-top5=85.125000 Batch [0099]/[0303]: acc-top1=65.343750 acc-top5=85.421875 Batch [0149]/[0303]: acc-top1=65.197917 acc-top5=85.500000 Batch [0199]/[0303]: acc-top1=65.171875 acc-top5=85.351562 Batch [0249]/[0303]: acc-top1=65.512500 acc-top5=85.481250 Batch [0299]/[0303]: acc-top1=65.609375 acc-top5=85.645833 [Epoch 180] training: accuracy=74.708200 loss=1.014252 [Epoch 180] speed: 64 samples/sec time cost: 3994.912840 [Epoch 180] validation: acc-top1=65.609530 acc-top5=85.638408 loss=1.641321 Epoch[181] Batch [0049]/[3760] Speed: 43.581598 samples/sec accuracy=76.500000 loss=0.954241 lr=0.002039 Epoch[181] Batch [0099]/[3760] Speed: 63.327197 samples/sec accuracy=75.890625 loss=0.969691 lr=0.002036 Epoch[181] Batch [0149]/[3760] Speed: 64.199932 samples/sec accuracy=75.572917 loss=0.974497 lr=0.002032 Epoch[181] Batch [0199]/[3760] Speed: 62.070918 samples/sec accuracy=75.593750 loss=0.978342 lr=0.002028 Epoch[181] Batch [0249]/[3760] Speed: 64.688476 samples/sec accuracy=75.743750 loss=0.976743 lr=0.002025 Epoch[181] Batch [0299]/[3760] Speed: 63.322279 samples/sec accuracy=75.531250 loss=0.982731 lr=0.002021 Epoch[181] Batch [0349]/[3760] Speed: 65.122159 samples/sec accuracy=75.406250 loss=0.987881 lr=0.002018 Epoch[181] Batch [0399]/[3760] Speed: 63.595069 samples/sec accuracy=75.507812 loss=0.981077 lr=0.002014 Epoch[181] Batch [0449]/[3760] Speed: 65.234265 samples/sec accuracy=75.541667 loss=0.977023 lr=0.002010 Epoch[181] Batch [0499]/[3760] Speed: 63.033442 samples/sec accuracy=75.618750 loss=0.974362 lr=0.002007 Epoch[181] Batch [0549]/[3760] Speed: 65.760422 samples/sec accuracy=75.590909 loss=0.976100 lr=0.002003 Epoch[181] Batch [0599]/[3760] Speed: 64.402794 samples/sec accuracy=75.630208 loss=0.974999 lr=0.002000 Epoch[181] Batch [0649]/[3760] Speed: 65.138167 samples/sec accuracy=75.663462 loss=0.972090 lr=0.001996 Epoch[181] Batch [0699]/[3760] Speed: 64.906312 samples/sec accuracy=75.636161 loss=0.973746 lr=0.001993 Epoch[181] Batch [0749]/[3760] Speed: 63.212130 samples/sec accuracy=75.612500 loss=0.976477 lr=0.001989 Epoch[181] Batch [0799]/[3760] Speed: 66.086052 samples/sec accuracy=75.603516 loss=0.978167 lr=0.001985 Epoch[181] Batch [0849]/[3760] Speed: 65.564458 samples/sec accuracy=75.634191 loss=0.974703 lr=0.001982 Epoch[181] Batch [0899]/[3760] Speed: 65.028385 samples/sec accuracy=75.616319 loss=0.975807 lr=0.001978 Epoch[181] Batch [0949]/[3760] Speed: 65.113630 samples/sec accuracy=75.603618 loss=0.976773 lr=0.001975 Epoch[181] Batch [0999]/[3760] Speed: 64.967839 samples/sec accuracy=75.551563 loss=0.979189 lr=0.001971 Epoch[181] Batch [1049]/[3760] Speed: 62.448549 samples/sec accuracy=75.568452 loss=0.978960 lr=0.001968 Epoch[181] Batch [1099]/[3760] Speed: 66.068946 samples/sec accuracy=75.539773 loss=0.979398 lr=0.001964 Epoch[181] Batch [1149]/[3760] Speed: 64.829618 samples/sec accuracy=75.546196 loss=0.980603 lr=0.001961 Epoch[181] Batch [1199]/[3760] Speed: 65.560199 samples/sec accuracy=75.550781 loss=0.981138 lr=0.001957 Epoch[181] Batch [1249]/[3760] Speed: 64.513275 samples/sec accuracy=75.543750 loss=0.982104 lr=0.001954 Epoch[181] Batch [1299]/[3760] Speed: 65.781509 samples/sec accuracy=75.540865 loss=0.982247 lr=0.001950 Epoch[181] Batch [1349]/[3760] Speed: 62.746190 samples/sec accuracy=75.513889 loss=0.982445 lr=0.001946 Epoch[181] Batch [1399]/[3760] Speed: 66.734921 samples/sec accuracy=75.508929 loss=0.983290 lr=0.001943 Epoch[181] Batch [1449]/[3760] Speed: 65.038109 samples/sec accuracy=75.534483 loss=0.982340 lr=0.001939 Epoch[181] Batch [1499]/[3760] Speed: 66.053047 samples/sec accuracy=75.495833 loss=0.983168 lr=0.001936 Epoch[181] Batch [1549]/[3760] Speed: 65.026717 samples/sec accuracy=75.473790 loss=0.983299 lr=0.001932 Epoch[181] Batch [1599]/[3760] Speed: 65.669251 samples/sec accuracy=75.433594 loss=0.984360 lr=0.001929 Epoch[181] Batch [1649]/[3760] Speed: 63.840025 samples/sec accuracy=75.418561 loss=0.984451 lr=0.001925 Epoch[181] Batch [1699]/[3760] Speed: 66.116633 samples/sec accuracy=75.440257 loss=0.983777 lr=0.001922 Epoch[181] Batch [1749]/[3760] Speed: 65.566942 samples/sec accuracy=75.428571 loss=0.983612 lr=0.001918 Epoch[181] Batch [1799]/[3760] Speed: 65.536855 samples/sec accuracy=75.432292 loss=0.982751 lr=0.001915 Epoch[181] Batch [1849]/[3760] Speed: 65.501549 samples/sec accuracy=75.440034 loss=0.982187 lr=0.001911 Epoch[181] Batch [1899]/[3760] Speed: 65.752729 samples/sec accuracy=75.408717 loss=0.982883 lr=0.001908 Epoch[181] Batch [1949]/[3760] Speed: 64.410294 samples/sec accuracy=75.406250 loss=0.982975 lr=0.001904 Epoch[181] Batch [1999]/[3760] Speed: 66.061105 samples/sec accuracy=75.423438 loss=0.983014 lr=0.001901 Epoch[181] Batch [2049]/[3760] Speed: 65.588668 samples/sec accuracy=75.461128 loss=0.981867 lr=0.001897 Epoch[181] Batch [2099]/[3760] Speed: 65.620427 samples/sec accuracy=75.442708 loss=0.981770 lr=0.001894 Epoch[181] Batch [2149]/[3760] Speed: 65.687041 samples/sec accuracy=75.407703 loss=0.982161 lr=0.001891 Epoch[181] Batch [2199]/[3760] Speed: 65.390065 samples/sec accuracy=75.426847 loss=0.981837 lr=0.001887 Epoch[181] Batch [2249]/[3760] Speed: 64.531027 samples/sec accuracy=75.424306 loss=0.981507 lr=0.001884 Epoch[181] Batch [2299]/[3760] Speed: 65.834934 samples/sec accuracy=75.425951 loss=0.981195 lr=0.001880 Epoch[181] Batch [2349]/[3760] Speed: 65.886636 samples/sec accuracy=75.410239 loss=0.982231 lr=0.001877 Epoch[181] Batch [2399]/[3760] Speed: 66.066676 samples/sec accuracy=75.411458 loss=0.982571 lr=0.001873 Epoch[181] Batch [2449]/[3760] Speed: 65.873213 samples/sec accuracy=75.385842 loss=0.982850 lr=0.001870 Epoch[181] Batch [2499]/[3760] Speed: 65.344134 samples/sec accuracy=75.388125 loss=0.982670 lr=0.001866 Epoch[181] Batch [2549]/[3760] Speed: 64.692464 samples/sec accuracy=75.397672 loss=0.982213 lr=0.001863 Epoch[181] Batch [2599]/[3760] Speed: 65.452907 samples/sec accuracy=75.417067 loss=0.982183 lr=0.001859 Epoch[181] Batch [2649]/[3760] Speed: 65.240312 samples/sec accuracy=75.396226 loss=0.982713 lr=0.001856 Epoch[181] Batch [2699]/[3760] Speed: 66.155443 samples/sec accuracy=75.371528 loss=0.983416 lr=0.001852 Epoch[181] Batch [2749]/[3760] Speed: 65.754220 samples/sec accuracy=75.350000 loss=0.984336 lr=0.001849 Epoch[181] Batch [2799]/[3760] Speed: 65.310114 samples/sec accuracy=75.359375 loss=0.984309 lr=0.001846 Epoch[181] Batch [2849]/[3760] Speed: 64.897871 samples/sec accuracy=75.368421 loss=0.984025 lr=0.001842 Epoch[181] Batch [2899]/[3760] Speed: 65.556123 samples/sec accuracy=75.338362 loss=0.984560 lr=0.001839 Epoch[181] Batch [2949]/[3760] Speed: 65.673435 samples/sec accuracy=75.338983 loss=0.984680 lr=0.001835 Epoch[181] Batch [2999]/[3760] Speed: 65.685124 samples/sec accuracy=75.336458 loss=0.984752 lr=0.001832 Epoch[181] Batch [3049]/[3760] Speed: 65.467273 samples/sec accuracy=75.355533 loss=0.984563 lr=0.001829 Epoch[181] Batch [3099]/[3760] Speed: 65.751871 samples/sec accuracy=75.367944 loss=0.984159 lr=0.001825 Epoch[181] Batch [3149]/[3760] Speed: 64.655171 samples/sec accuracy=75.367063 loss=0.984000 lr=0.001822 Epoch[181] Batch [3199]/[3760] Speed: 65.934670 samples/sec accuracy=75.380371 loss=0.983150 lr=0.001818 Epoch[181] Batch [3249]/[3760] Speed: 65.770026 samples/sec accuracy=75.364423 loss=0.983204 lr=0.001815 Epoch[181] Batch [3299]/[3760] Speed: 65.598401 samples/sec accuracy=75.372633 loss=0.983249 lr=0.001811 Epoch[181] Batch [3349]/[3760] Speed: 65.287498 samples/sec accuracy=75.380131 loss=0.982990 lr=0.001808 Epoch[181] Batch [3399]/[3760] Speed: 65.821759 samples/sec accuracy=75.371324 loss=0.983311 lr=0.001805 Epoch[181] Batch [3449]/[3760] Speed: 64.391875 samples/sec accuracy=75.386775 loss=0.982897 lr=0.001801 Epoch[181] Batch [3499]/[3760] Speed: 65.763960 samples/sec accuracy=75.387500 loss=0.982589 lr=0.001798 Epoch[181] Batch [3549]/[3760] Speed: 65.774417 samples/sec accuracy=75.391725 loss=0.982724 lr=0.001794 Epoch[181] Batch [3599]/[3760] Speed: 65.597213 samples/sec accuracy=75.378906 loss=0.983085 lr=0.001791 Epoch[181] Batch [3649]/[3760] Speed: 65.304539 samples/sec accuracy=75.374144 loss=0.982982 lr=0.001788 Epoch[181] Batch [3699]/[3760] Speed: 65.519639 samples/sec accuracy=75.380912 loss=0.982796 lr=0.001784 Epoch[181] Batch [3749]/[3760] Speed: 67.066722 samples/sec accuracy=75.376667 loss=0.982944 lr=0.001781 Batch [0049]/[0303]: acc-top1=64.968750 acc-top5=85.562500 Batch [0099]/[0303]: acc-top1=65.718750 acc-top5=85.640625 Batch [0149]/[0303]: acc-top1=65.875000 acc-top5=85.708333 Batch [0199]/[0303]: acc-top1=65.890625 acc-top5=85.640625 Batch [0249]/[0303]: acc-top1=66.068750 acc-top5=85.768750 Batch [0299]/[0303]: acc-top1=66.244792 acc-top5=85.848958 [Epoch 181] training: accuracy=75.369432 loss=0.983293 [Epoch 181] speed: 64 samples/sec time cost: 3988.866743 [Epoch 181] validation: acc-top1=66.254125 acc-top5=85.834365 loss=1.607893 Epoch[182] Batch [0049]/[3760] Speed: 44.100929 samples/sec accuracy=76.375000 loss=0.952846 lr=0.001777 Epoch[182] Batch [0099]/[3760] Speed: 63.942571 samples/sec accuracy=75.968750 loss=0.974203 lr=0.001774 Epoch[182] Batch [0149]/[3760] Speed: 64.586826 samples/sec accuracy=76.343750 loss=0.951768 lr=0.001770 Epoch[182] Batch [0199]/[3760] Speed: 64.539433 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lr=0.001674 Epoch[182] Batch [1649]/[3760] Speed: 65.162017 samples/sec accuracy=76.033144 loss=0.951344 lr=0.001671 Epoch[182] Batch [1699]/[3760] Speed: 64.677710 samples/sec accuracy=76.014706 loss=0.952772 lr=0.001667 Epoch[182] Batch [1749]/[3760] Speed: 65.622777 samples/sec accuracy=75.992857 loss=0.953381 lr=0.001664 Epoch[182] Batch [1799]/[3760] Speed: 65.306055 samples/sec accuracy=75.992188 loss=0.954002 lr=0.001661 Epoch[182] Batch [1849]/[3760] Speed: 65.151657 samples/sec accuracy=75.996622 loss=0.954024 lr=0.001658 Epoch[182] Batch [1899]/[3760] Speed: 65.370913 samples/sec accuracy=76.003289 loss=0.954312 lr=0.001654 Epoch[182] Batch [1949]/[3760] Speed: 64.667436 samples/sec accuracy=76.028045 loss=0.954076 lr=0.001651 Epoch[182] Batch [1999]/[3760] Speed: 64.035786 samples/sec accuracy=76.041406 loss=0.953336 lr=0.001648 Epoch[182] Batch [2049]/[3760] Speed: 64.876462 samples/sec accuracy=76.026677 loss=0.954591 lr=0.001645 Epoch[182] Batch [2099]/[3760] Speed: 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lr=0.001612 Epoch[182] Batch [2599]/[3760] Speed: 65.903667 samples/sec accuracy=76.076923 loss=0.954385 lr=0.001609 Epoch[182] Batch [2649]/[3760] Speed: 65.377395 samples/sec accuracy=76.073703 loss=0.955582 lr=0.001606 Epoch[182] Batch [2699]/[3760] Speed: 64.726235 samples/sec accuracy=76.075810 loss=0.955425 lr=0.001603 Epoch[182] Batch [2749]/[3760] Speed: 65.580999 samples/sec accuracy=76.081818 loss=0.955685 lr=0.001600 Epoch[182] Batch [2799]/[3760] Speed: 64.953905 samples/sec accuracy=76.105469 loss=0.955288 lr=0.001596 Epoch[182] Batch [2849]/[3760] Speed: 64.227246 samples/sec accuracy=76.094846 loss=0.956222 lr=0.001593 Epoch[182] Batch [2899]/[3760] Speed: 65.083150 samples/sec accuracy=76.094289 loss=0.955959 lr=0.001590 Epoch[182] Batch [2949]/[3760] Speed: 65.891916 samples/sec accuracy=76.080508 loss=0.956681 lr=0.001587 Epoch[182] Batch [2999]/[3760] Speed: 65.325446 samples/sec accuracy=76.077604 loss=0.956730 lr=0.001584 Epoch[182] Batch [3049]/[3760] Speed: 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lr=0.001552 Epoch[182] Batch [3549]/[3760] Speed: 64.836524 samples/sec accuracy=75.998680 loss=0.958941 lr=0.001549 Epoch[182] Batch [3599]/[3760] Speed: 65.896366 samples/sec accuracy=75.994358 loss=0.959188 lr=0.001546 Epoch[182] Batch [3649]/[3760] Speed: 65.474013 samples/sec accuracy=75.994863 loss=0.959403 lr=0.001543 Epoch[182] Batch [3699]/[3760] Speed: 64.218721 samples/sec accuracy=75.998733 loss=0.959353 lr=0.001539 Epoch[182] Batch [3749]/[3760] Speed: 69.158523 samples/sec accuracy=76.006250 loss=0.959054 lr=0.001536 Batch [0049]/[0303]: acc-top1=64.656250 acc-top5=85.562500 Batch [0099]/[0303]: acc-top1=65.781250 acc-top5=85.968750 Batch [0149]/[0303]: acc-top1=65.791667 acc-top5=85.989583 Batch [0199]/[0303]: acc-top1=65.671875 acc-top5=85.734375 Batch [0249]/[0303]: acc-top1=66.006250 acc-top5=85.862500 Batch [0299]/[0303]: acc-top1=66.119792 acc-top5=85.947917 [Epoch 182] training: accuracy=76.010638 loss=0.958941 [Epoch 182] speed: 64 samples/sec time cost: 3994.398497 [Epoch 182] validation: acc-top1=66.120050 acc-top5=85.932343 loss=1.604253 Epoch[183] Batch [0049]/[3759] Speed: 43.612151 samples/sec accuracy=75.500000 loss=0.988128 lr=0.001532 Epoch[183] Batch [0099]/[3759] Speed: 63.360135 samples/sec accuracy=76.078125 loss=0.955188 lr=0.001529 Epoch[183] Batch [0149]/[3759] Speed: 63.949990 samples/sec accuracy=76.197917 loss=0.939081 lr=0.001526 Epoch[183] Batch [0199]/[3759] Speed: 63.351590 samples/sec accuracy=76.117188 loss=0.939974 lr=0.001523 Epoch[183] Batch [0249]/[3759] Speed: 64.350528 samples/sec accuracy=76.287500 loss=0.938422 lr=0.001520 Epoch[183] Batch [0299]/[3759] Speed: 63.845590 samples/sec accuracy=76.328125 loss=0.941245 lr=0.001517 Epoch[183] Batch [0349]/[3759] Speed: 64.773710 samples/sec accuracy=76.397321 loss=0.941541 lr=0.001514 Epoch[183] Batch [0399]/[3759] Speed: 63.661098 samples/sec accuracy=76.453125 loss=0.940263 lr=0.001511 Epoch[183] Batch [0449]/[3759] Speed: 65.457590 samples/sec accuracy=76.576389 loss=0.938687 lr=0.001508 Epoch[183] Batch [0499]/[3759] Speed: 64.203426 samples/sec accuracy=76.428125 loss=0.941673 lr=0.001504 Epoch[183] Batch [0549]/[3759] Speed: 64.669453 samples/sec accuracy=76.511364 loss=0.940100 lr=0.001501 Epoch[183] Batch [0599]/[3759] Speed: 64.821760 samples/sec accuracy=76.653646 loss=0.935283 lr=0.001498 Epoch[183] Batch [0649]/[3759] Speed: 65.184613 samples/sec accuracy=76.689904 loss=0.935678 lr=0.001495 Epoch[183] Batch [0699]/[3759] Speed: 64.752541 samples/sec accuracy=76.580357 loss=0.938277 lr=0.001492 Epoch[183] Batch [0749]/[3759] Speed: 65.253759 samples/sec accuracy=76.543750 loss=0.938400 lr=0.001489 Epoch[183] Batch [0799]/[3759] Speed: 63.098575 samples/sec accuracy=76.486328 loss=0.939070 lr=0.001486 Epoch[183] Batch [0849]/[3759] Speed: 65.262908 samples/sec accuracy=76.569853 loss=0.937173 lr=0.001483 Epoch[183] Batch [0899]/[3759] Speed: 65.081345 samples/sec accuracy=76.600694 loss=0.935856 lr=0.001480 Epoch[183] 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accuracy=76.588170 loss=0.936164 lr=0.001449 Epoch[183] Batch [1449]/[3759] Speed: 64.474827 samples/sec accuracy=76.613147 loss=0.935462 lr=0.001446 Epoch[183] Batch [1499]/[3759] Speed: 65.437693 samples/sec accuracy=76.616667 loss=0.935399 lr=0.001443 Epoch[183] Batch [1549]/[3759] Speed: 64.122695 samples/sec accuracy=76.619960 loss=0.934963 lr=0.001440 Epoch[183] Batch [1599]/[3759] Speed: 65.500112 samples/sec accuracy=76.610352 loss=0.935043 lr=0.001437 Epoch[183] Batch [1649]/[3759] Speed: 64.328797 samples/sec accuracy=76.625947 loss=0.934538 lr=0.001434 Epoch[183] Batch [1699]/[3759] Speed: 64.501293 samples/sec accuracy=76.617647 loss=0.933947 lr=0.001431 Epoch[183] Batch [1749]/[3759] Speed: 64.984296 samples/sec accuracy=76.596429 loss=0.934596 lr=0.001428 Epoch[183] Batch [1799]/[3759] Speed: 65.424259 samples/sec accuracy=76.570312 loss=0.935470 lr=0.001425 Epoch[183] Batch [1849]/[3759] Speed: 64.770373 samples/sec accuracy=76.592061 loss=0.934261 lr=0.001422 Epoch[183] Batch [1899]/[3759] Speed: 64.705235 samples/sec accuracy=76.601151 loss=0.934019 lr=0.001419 Epoch[183] Batch [1949]/[3759] Speed: 63.930854 samples/sec accuracy=76.590545 loss=0.933619 lr=0.001416 Epoch[183] Batch [1999]/[3759] Speed: 65.549707 samples/sec accuracy=76.575000 loss=0.934223 lr=0.001413 Epoch[183] Batch [2049]/[3759] Speed: 65.315310 samples/sec accuracy=76.562500 loss=0.934925 lr=0.001410 Epoch[183] Batch [2099]/[3759] Speed: 64.768271 samples/sec accuracy=76.602679 loss=0.933766 lr=0.001407 Epoch[183] Batch [2149]/[3759] Speed: 65.282635 samples/sec accuracy=76.621366 loss=0.932913 lr=0.001404 Epoch[183] Batch [2199]/[3759] Speed: 64.685517 samples/sec accuracy=76.623580 loss=0.932678 lr=0.001401 Epoch[183] Batch [2249]/[3759] Speed: 64.122704 samples/sec accuracy=76.607639 loss=0.933189 lr=0.001398 Epoch[183] Batch [2299]/[3759] Speed: 64.975774 samples/sec accuracy=76.600543 loss=0.933604 lr=0.001395 Epoch[183] Batch [2349]/[3759] Speed: 65.316557 samples/sec accuracy=76.619681 loss=0.933050 lr=0.001392 Epoch[183] Batch [2399]/[3759] Speed: 64.819646 samples/sec accuracy=76.625000 loss=0.933113 lr=0.001389 Epoch[183] Batch [2449]/[3759] Speed: 65.414697 samples/sec accuracy=76.649235 loss=0.932395 lr=0.001386 Epoch[183] Batch [2499]/[3759] Speed: 64.776060 samples/sec accuracy=76.650625 loss=0.932237 lr=0.001383 Epoch[183] Batch [2549]/[3759] Speed: 64.590950 samples/sec accuracy=76.642770 loss=0.932735 lr=0.001380 Epoch[183] Batch [2599]/[3759] Speed: 65.055024 samples/sec accuracy=76.634615 loss=0.932949 lr=0.001377 Epoch[183] Batch [2649]/[3759] Speed: 65.630120 samples/sec accuracy=76.641509 loss=0.933320 lr=0.001374 Epoch[183] Batch [2699]/[3759] Speed: 64.890530 samples/sec accuracy=76.635995 loss=0.933380 lr=0.001371 Epoch[183] Batch [2749]/[3759] Speed: 65.227064 samples/sec accuracy=76.625000 loss=0.932998 lr=0.001368 Epoch[183] Batch [2799]/[3759] Speed: 65.435940 samples/sec accuracy=76.614955 loss=0.933215 lr=0.001365 Epoch[183] Batch [2849]/[3759] Speed: 64.556000 samples/sec accuracy=76.607456 loss=0.933902 lr=0.001362 Epoch[183] Batch [2899]/[3759] Speed: 65.119358 samples/sec accuracy=76.609914 loss=0.934165 lr=0.001359 Epoch[183] Batch [2949]/[3759] Speed: 65.454466 samples/sec accuracy=76.617055 loss=0.934329 lr=0.001356 Epoch[183] Batch [2999]/[3759] Speed: 65.598581 samples/sec accuracy=76.615625 loss=0.934030 lr=0.001353 Epoch[183] Batch [3049]/[3759] Speed: 65.585444 samples/sec accuracy=76.612705 loss=0.934168 lr=0.001350 Epoch[183] Batch [3099]/[3759] Speed: 64.321258 samples/sec accuracy=76.626512 loss=0.933492 lr=0.001347 Epoch[183] Batch [3149]/[3759] Speed: 66.087518 samples/sec accuracy=76.622520 loss=0.933707 lr=0.001344 Epoch[183] Batch [3199]/[3759] Speed: 65.477579 samples/sec accuracy=76.634766 loss=0.932975 lr=0.001341 Epoch[183] Batch [3249]/[3759] Speed: 65.652459 samples/sec accuracy=76.641827 loss=0.933003 lr=0.001338 Epoch[183] Batch [3299]/[3759] Speed: 65.691172 samples/sec accuracy=76.642519 loss=0.932800 lr=0.001336 Epoch[183] Batch [3349]/[3759] Speed: 65.378106 samples/sec accuracy=76.641325 loss=0.933216 lr=0.001333 Epoch[183] Batch [3399]/[3759] Speed: 64.739296 samples/sec accuracy=76.634651 loss=0.933770 lr=0.001330 Epoch[183] Batch [3449]/[3759] Speed: 65.070061 samples/sec accuracy=76.610507 loss=0.934426 lr=0.001327 Epoch[183] Batch [3499]/[3759] Speed: 65.601553 samples/sec accuracy=76.620982 loss=0.934575 lr=0.001324 Epoch[183] Batch [3549]/[3759] Speed: 65.341173 samples/sec accuracy=76.610475 loss=0.935067 lr=0.001321 Epoch[183] Batch [3599]/[3759] Speed: 65.564979 samples/sec accuracy=76.582899 loss=0.936062 lr=0.001318 Epoch[183] Batch [3649]/[3759] Speed: 65.313744 samples/sec accuracy=76.578767 loss=0.935817 lr=0.001315 Epoch[183] Batch [3699]/[3759] Speed: 64.702006 samples/sec accuracy=76.581503 loss=0.936173 lr=0.001312 Epoch[183] Batch [3749]/[3759] Speed: 68.460795 samples/sec accuracy=76.581667 loss=0.936048 lr=0.001309 Batch [0049]/[0303]: acc-top1=65.218750 acc-top5=85.812500 Batch [0099]/[0303]: acc-top1=65.640625 acc-top5=85.734375 Batch [0149]/[0303]: acc-top1=65.968750 acc-top5=85.968750 Batch [0199]/[0303]: acc-top1=65.820312 acc-top5=85.796875 Batch [0249]/[0303]: acc-top1=66.125000 acc-top5=85.906250 Batch [0299]/[0303]: acc-top1=66.052083 acc-top5=85.984375 [Epoch 183] training: accuracy=76.582452 loss=0.936138 [Epoch 183] speed: 64 samples/sec time cost: 4004.302833 [Epoch 183] validation: acc-top1=66.053012 acc-top5=85.978754 loss=1.601970 Epoch[184] Batch [0049]/[3760] Speed: 43.512999 samples/sec accuracy=77.531250 loss=0.926801 lr=0.001306 Epoch[184] Batch [0099]/[3760] Speed: 63.145039 samples/sec accuracy=77.546875 loss=0.905580 lr=0.001303 Epoch[184] Batch [0149]/[3760] Speed: 63.855665 samples/sec accuracy=77.593750 loss=0.903580 lr=0.001300 Epoch[184] Batch [0199]/[3760] Speed: 61.650555 samples/sec accuracy=77.562500 loss=0.896404 lr=0.001297 Epoch[184] Batch [0249]/[3760] Speed: 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lr=0.001111 Epoch[184] Batch [3599]/[3760] Speed: 64.893025 samples/sec accuracy=77.096354 loss=0.912018 lr=0.001108 Epoch[184] Batch [3649]/[3760] Speed: 64.953414 samples/sec accuracy=77.114298 loss=0.911516 lr=0.001106 Epoch[184] Batch [3699]/[3760] Speed: 64.784747 samples/sec accuracy=77.114865 loss=0.911439 lr=0.001103 Epoch[184] Batch [3749]/[3760] Speed: 67.968006 samples/sec accuracy=77.101250 loss=0.912218 lr=0.001100 Batch [0049]/[0303]: acc-top1=65.093750 acc-top5=86.156250 Batch [0099]/[0303]: acc-top1=65.906250 acc-top5=86.156250 Batch [0149]/[0303]: acc-top1=65.958333 acc-top5=86.270833 Batch [0199]/[0303]: acc-top1=65.976562 acc-top5=86.039062 Batch [0249]/[0303]: acc-top1=66.268750 acc-top5=86.025000 Batch [0299]/[0303]: acc-top1=66.395833 acc-top5=86.114583 [Epoch 184] training: accuracy=77.102726 loss=0.912053 [Epoch 184] speed: 64 samples/sec time cost: 4001.095633 [Epoch 184] validation: acc-top1=66.367574 acc-top5=86.123144 loss=1.590543 Epoch[185] Batch 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accuracy=78.090625 loss=0.879194 lr=0.001073 Epoch[185] Batch [0549]/[3760] Speed: 64.301663 samples/sec accuracy=77.963068 loss=0.882383 lr=0.001071 Epoch[185] Batch [0599]/[3760] Speed: 64.122260 samples/sec accuracy=77.898438 loss=0.882320 lr=0.001068 Epoch[185] Batch [0649]/[3760] Speed: 65.316360 samples/sec accuracy=77.846154 loss=0.883007 lr=0.001066 Epoch[185] Batch [0699]/[3760] Speed: 64.491003 samples/sec accuracy=77.944196 loss=0.880872 lr=0.001063 Epoch[185] Batch [0749]/[3760] Speed: 65.597432 samples/sec accuracy=77.837500 loss=0.883020 lr=0.001060 Epoch[185] Batch [0799]/[3760] Speed: 64.865550 samples/sec accuracy=77.851562 loss=0.882985 lr=0.001058 Epoch[185] Batch [0849]/[3760] Speed: 63.907517 samples/sec accuracy=77.825368 loss=0.882283 lr=0.001055 Epoch[185] Batch [0899]/[3760] Speed: 64.560024 samples/sec accuracy=77.828125 loss=0.882185 lr=0.001053 Epoch[185] Batch [0949]/[3760] Speed: 65.107874 samples/sec accuracy=77.828947 loss=0.882501 lr=0.001050 Epoch[185] 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accuracy=77.769397 loss=0.883697 lr=0.001024 Epoch[185] Batch [1499]/[3760] Speed: 65.161802 samples/sec accuracy=77.745833 loss=0.885587 lr=0.001022 Epoch[185] Batch [1549]/[3760] Speed: 64.738496 samples/sec accuracy=77.709677 loss=0.886661 lr=0.001019 Epoch[185] Batch [1599]/[3760] Speed: 65.556381 samples/sec accuracy=77.716797 loss=0.887268 lr=0.001016 Epoch[185] Batch [1649]/[3760] Speed: 64.424253 samples/sec accuracy=77.704545 loss=0.887846 lr=0.001014 Epoch[185] Batch [1699]/[3760] Speed: 65.115519 samples/sec accuracy=77.693015 loss=0.887282 lr=0.001011 Epoch[185] Batch [1749]/[3760] Speed: 63.963596 samples/sec accuracy=77.719643 loss=0.886301 lr=0.001009 Epoch[185] Batch [1799]/[3760] Speed: 65.604565 samples/sec accuracy=77.717014 loss=0.886263 lr=0.001006 Epoch[185] Batch [1849]/[3760] Speed: 65.341934 samples/sec accuracy=77.710304 loss=0.886128 lr=0.001004 Epoch[185] Batch [1899]/[3760] Speed: 65.527332 samples/sec accuracy=77.699013 loss=0.886550 lr=0.001001 Epoch[185] 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accuracy=77.603516 loss=0.889442 lr=0.000976 Epoch[185] Batch [2449]/[3760] Speed: 65.425551 samples/sec accuracy=77.617347 loss=0.888844 lr=0.000973 Epoch[185] Batch [2499]/[3760] Speed: 65.322667 samples/sec accuracy=77.594375 loss=0.889718 lr=0.000971 Epoch[185] Batch [2549]/[3760] Speed: 65.305449 samples/sec accuracy=77.590686 loss=0.889954 lr=0.000968 Epoch[185] Batch [2599]/[3760] Speed: 65.511117 samples/sec accuracy=77.569712 loss=0.891334 lr=0.000966 Epoch[185] Batch [2649]/[3760] Speed: 64.534466 samples/sec accuracy=77.587854 loss=0.890936 lr=0.000963 Epoch[185] Batch [2699]/[3760] Speed: 65.307044 samples/sec accuracy=77.591435 loss=0.891005 lr=0.000961 Epoch[185] Batch [2749]/[3760] Speed: 65.880405 samples/sec accuracy=77.584091 loss=0.891233 lr=0.000958 Epoch[185] Batch [2799]/[3760] Speed: 65.552571 samples/sec accuracy=77.589286 loss=0.890732 lr=0.000956 Epoch[185] Batch [2849]/[3760] Speed: 65.640525 samples/sec accuracy=77.594846 loss=0.890594 lr=0.000953 Epoch[185] Batch [2899]/[3760] Speed: 65.413647 samples/sec accuracy=77.609375 loss=0.890352 lr=0.000951 Epoch[185] Batch [2949]/[3760] Speed: 64.233170 samples/sec accuracy=77.617055 loss=0.890454 lr=0.000949 Epoch[185] Batch [2999]/[3760] Speed: 66.248852 samples/sec accuracy=77.616667 loss=0.890594 lr=0.000946 Epoch[185] Batch [3049]/[3760] Speed: 65.201869 samples/sec accuracy=77.614754 loss=0.890634 lr=0.000944 Epoch[185] Batch [3099]/[3760] Speed: 65.601480 samples/sec accuracy=77.596774 loss=0.891293 lr=0.000941 Epoch[185] Batch [3149]/[3760] Speed: 65.475480 samples/sec accuracy=77.601687 loss=0.890774 lr=0.000939 Epoch[185] Batch [3199]/[3760] Speed: 65.528189 samples/sec accuracy=77.607910 loss=0.890496 lr=0.000936 Epoch[185] Batch [3249]/[3760] Speed: 63.913190 samples/sec accuracy=77.607692 loss=0.890931 lr=0.000934 Epoch[185] Batch [3299]/[3760] Speed: 66.754457 samples/sec accuracy=77.607008 loss=0.891426 lr=0.000931 Epoch[185] Batch [3349]/[3760] Speed: 65.645316 samples/sec accuracy=77.623601 loss=0.890779 lr=0.000929 Epoch[185] Batch [3399]/[3760] Speed: 65.730928 samples/sec accuracy=77.642923 loss=0.889802 lr=0.000926 Epoch[185] Batch [3449]/[3760] Speed: 65.599501 samples/sec accuracy=77.651721 loss=0.889310 lr=0.000924 Epoch[185] Batch [3499]/[3760] Speed: 65.941782 samples/sec accuracy=77.651339 loss=0.889708 lr=0.000922 Epoch[185] Batch [3549]/[3760] Speed: 65.702932 samples/sec accuracy=77.664173 loss=0.889144 lr=0.000919 Epoch[185] Batch [3599]/[3760] Speed: 64.384245 samples/sec accuracy=77.653212 loss=0.889347 lr=0.000917 Epoch[185] Batch [3649]/[3760] Speed: 66.072323 samples/sec accuracy=77.645548 loss=0.889320 lr=0.000914 Epoch[185] Batch [3699]/[3760] Speed: 65.958854 samples/sec accuracy=77.650760 loss=0.888991 lr=0.000912 Epoch[185] Batch [3749]/[3760] Speed: 68.745903 samples/sec accuracy=77.647500 loss=0.888901 lr=0.000909 Batch [0049]/[0303]: acc-top1=65.406250 acc-top5=86.437500 Batch [0099]/[0303]: acc-top1=65.562500 acc-top5=86.156250 Batch [0149]/[0303]: acc-top1=65.822917 acc-top5=86.156250 Batch [0199]/[0303]: acc-top1=65.867188 acc-top5=85.984375 Batch [0249]/[0303]: acc-top1=66.337500 acc-top5=86.056250 Batch [0299]/[0303]: acc-top1=66.473958 acc-top5=86.145833 [Epoch 185] training: accuracy=77.645445 loss=0.889129 [Epoch 185] speed: 64 samples/sec time cost: 3992.026479 [Epoch 185] validation: acc-top1=66.465553 acc-top5=86.148927 loss=1.610600 Epoch[186] Batch [0049]/[3759] Speed: 43.553904 samples/sec accuracy=78.562500 loss=0.848479 lr=0.000907 Epoch[186] Batch [0099]/[3759] Speed: 62.737946 samples/sec accuracy=77.875000 loss=0.871686 lr=0.000904 Epoch[186] Batch [0149]/[3759] Speed: 64.721477 samples/sec accuracy=78.625000 loss=0.847569 lr=0.000902 Epoch[186] Batch [0199]/[3759] Speed: 64.077848 samples/sec accuracy=78.679688 loss=0.845964 lr=0.000899 Epoch[186] Batch [0249]/[3759] Speed: 65.233013 samples/sec accuracy=78.656250 loss=0.850772 lr=0.000897 Epoch[186] Batch [0299]/[3759] 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accuracy=78.131944 loss=0.872474 lr=0.000743 Epoch[186] Batch [3649]/[3759] Speed: 66.190963 samples/sec accuracy=78.126284 loss=0.872622 lr=0.000741 Epoch[186] Batch [3699]/[3759] Speed: 65.855631 samples/sec accuracy=78.138091 loss=0.872045 lr=0.000739 Epoch[186] Batch [3749]/[3759] Speed: 69.139146 samples/sec accuracy=78.134583 loss=0.871897 lr=0.000736 Batch [0049]/[0303]: acc-top1=65.156250 acc-top5=86.281250 Batch [0099]/[0303]: acc-top1=65.921875 acc-top5=86.359375 Batch [0149]/[0303]: acc-top1=66.364583 acc-top5=86.500000 Batch [0199]/[0303]: acc-top1=66.226562 acc-top5=86.195312 Batch [0249]/[0303]: acc-top1=66.493750 acc-top5=86.243750 Batch [0299]/[0303]: acc-top1=66.671875 acc-top5=86.359375 [Epoch 186] training: accuracy=78.137886 loss=0.871689 [Epoch 186] speed: 64 samples/sec time cost: 3991.364658 [Epoch 186] validation: acc-top1=66.671823 acc-top5=86.344884 loss=1.595627 Epoch[187] Batch [0049]/[3760] Speed: 43.566279 samples/sec accuracy=79.187500 loss=0.836951 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lr=0.000615 Epoch[187] Batch [2949]/[3760] Speed: 65.840462 samples/sec accuracy=78.747352 loss=0.844477 lr=0.000613 Epoch[187] Batch [2999]/[3760] Speed: 65.626522 samples/sec accuracy=78.731771 loss=0.844595 lr=0.000611 Epoch[187] Batch [3049]/[3760] Speed: 65.898745 samples/sec accuracy=78.721311 loss=0.845279 lr=0.000609 Epoch[187] Batch [3099]/[3760] Speed: 65.065816 samples/sec accuracy=78.735383 loss=0.845104 lr=0.000607 Epoch[187] Batch [3149]/[3760] Speed: 65.472008 samples/sec accuracy=78.716766 loss=0.845676 lr=0.000605 Epoch[187] Batch [3199]/[3760] Speed: 65.295707 samples/sec accuracy=78.713379 loss=0.845830 lr=0.000603 Epoch[187] Batch [3249]/[3760] Speed: 65.513526 samples/sec accuracy=78.712019 loss=0.845582 lr=0.000601 Epoch[187] Batch [3299]/[3760] Speed: 66.217566 samples/sec accuracy=78.707386 loss=0.846074 lr=0.000599 Epoch[187] Batch [3349]/[3760] Speed: 65.426206 samples/sec accuracy=78.721549 loss=0.845590 lr=0.000597 Epoch[187] Batch [3399]/[3760] Speed: 65.102442 samples/sec accuracy=78.712316 loss=0.845597 lr=0.000595 Epoch[187] Batch [3449]/[3760] Speed: 65.823868 samples/sec accuracy=78.715580 loss=0.845569 lr=0.000593 Epoch[187] Batch [3499]/[3760] Speed: 65.479020 samples/sec accuracy=78.718750 loss=0.845664 lr=0.000591 Epoch[187] Batch [3549]/[3760] Speed: 65.792338 samples/sec accuracy=78.712148 loss=0.845697 lr=0.000589 Epoch[187] Batch [3599]/[3760] Speed: 66.076807 samples/sec accuracy=78.720052 loss=0.845122 lr=0.000588 Epoch[187] Batch [3649]/[3760] Speed: 65.353724 samples/sec accuracy=78.712757 loss=0.845658 lr=0.000586 Epoch[187] Batch [3699]/[3760] Speed: 65.608270 samples/sec accuracy=78.714949 loss=0.845418 lr=0.000584 Epoch[187] Batch [3749]/[3760] Speed: 68.731615 samples/sec accuracy=78.720417 loss=0.845603 lr=0.000582 Batch [0049]/[0303]: acc-top1=65.468750 acc-top5=86.031250 Batch [0099]/[0303]: acc-top1=66.218750 acc-top5=86.171875 Batch [0149]/[0303]: acc-top1=66.333333 acc-top5=86.375000 Batch [0199]/[0303]: acc-top1=66.125000 acc-top5=86.140625 Batch [0249]/[0303]: acc-top1=66.475000 acc-top5=86.268750 Batch [0299]/[0303]: acc-top1=66.661458 acc-top5=86.437500 [Epoch 187] training: accuracy=78.720911 loss=0.845565 [Epoch 187] speed: 64 samples/sec time cost: 3982.609503 [Epoch 187] validation: acc-top1=66.671823 acc-top5=86.432550 loss=1.599982 Epoch[188] Batch [0049]/[3760] Speed: 44.272429 samples/sec accuracy=78.656250 loss=0.835899 lr=0.000579 Epoch[188] Batch [0099]/[3760] Speed: 63.586541 samples/sec accuracy=78.468750 loss=0.844080 lr=0.000577 Epoch[188] Batch [0149]/[3760] Speed: 64.382890 samples/sec accuracy=78.604167 loss=0.846112 lr=0.000576 Epoch[188] Batch [0199]/[3760] Speed: 62.784718 samples/sec accuracy=78.859375 loss=0.842515 lr=0.000574 Epoch[188] Batch [0249]/[3760] Speed: 65.468434 samples/sec accuracy=79.150000 loss=0.831973 lr=0.000572 Epoch[188] Batch [0299]/[3760] Speed: 63.657072 samples/sec accuracy=79.026042 loss=0.835322 lr=0.000570 Epoch[188] Batch 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accuracy=79.089844 loss=0.833133 lr=0.000551 Epoch[188] Batch [0849]/[3760] Speed: 65.931521 samples/sec accuracy=79.139706 loss=0.833231 lr=0.000549 Epoch[188] Batch [0899]/[3760] Speed: 64.697296 samples/sec accuracy=79.135417 loss=0.833397 lr=0.000547 Epoch[188] Batch [0949]/[3760] Speed: 65.358267 samples/sec accuracy=79.075658 loss=0.835784 lr=0.000545 Epoch[188] Batch [0999]/[3760] Speed: 65.022346 samples/sec accuracy=79.100000 loss=0.834619 lr=0.000543 Epoch[188] Batch [1049]/[3760] Speed: 64.969094 samples/sec accuracy=79.203869 loss=0.831434 lr=0.000541 Epoch[188] Batch [1099]/[3760] Speed: 64.661554 samples/sec accuracy=79.210227 loss=0.830868 lr=0.000539 Epoch[188] Batch [1149]/[3760] Speed: 65.652014 samples/sec accuracy=79.217391 loss=0.830191 lr=0.000538 Epoch[188] Batch [1199]/[3760] Speed: 65.504658 samples/sec accuracy=79.225260 loss=0.829405 lr=0.000536 Epoch[188] Batch [1249]/[3760] Speed: 65.490514 samples/sec accuracy=79.205000 loss=0.830431 lr=0.000534 Epoch[188] 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accuracy=79.276786 loss=0.829672 lr=0.000515 Epoch[188] Batch [1799]/[3760] Speed: 65.354580 samples/sec accuracy=79.270833 loss=0.830213 lr=0.000514 Epoch[188] Batch [1849]/[3760] Speed: 65.355751 samples/sec accuracy=79.278716 loss=0.830325 lr=0.000512 Epoch[188] Batch [1899]/[3760] Speed: 65.019588 samples/sec accuracy=79.267270 loss=0.830589 lr=0.000510 Epoch[188] Batch [1949]/[3760] Speed: 65.686397 samples/sec accuracy=79.278045 loss=0.829356 lr=0.000508 Epoch[188] Batch [1999]/[3760] Speed: 63.833691 samples/sec accuracy=79.257031 loss=0.829924 lr=0.000506 Epoch[188] Batch [2049]/[3760] Speed: 65.080071 samples/sec accuracy=79.244665 loss=0.830167 lr=0.000505 Epoch[188] Batch [2099]/[3760] Speed: 64.685075 samples/sec accuracy=79.242560 loss=0.830335 lr=0.000503 Epoch[188] Batch [2149]/[3760] Speed: 65.622158 samples/sec accuracy=79.228198 loss=0.830122 lr=0.000501 Epoch[188] Batch [2199]/[3760] Speed: 65.218037 samples/sec accuracy=79.213068 loss=0.829969 lr=0.000499 Epoch[188] 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accuracy=79.206019 loss=0.830947 lr=0.000481 Epoch[188] Batch [2749]/[3760] Speed: 65.803437 samples/sec accuracy=79.187500 loss=0.831740 lr=0.000480 Epoch[188] Batch [2799]/[3760] Speed: 65.547477 samples/sec accuracy=79.190290 loss=0.831459 lr=0.000478 Epoch[188] Batch [2849]/[3760] Speed: 63.976139 samples/sec accuracy=79.164474 loss=0.831854 lr=0.000476 Epoch[188] Batch [2899]/[3760] Speed: 66.734312 samples/sec accuracy=79.157328 loss=0.831759 lr=0.000474 Epoch[188] Batch [2949]/[3760] Speed: 65.397971 samples/sec accuracy=79.142479 loss=0.832116 lr=0.000473 Epoch[188] Batch [2999]/[3760] Speed: 66.042046 samples/sec accuracy=79.148958 loss=0.832057 lr=0.000471 Epoch[188] Batch [3049]/[3760] Speed: 65.483043 samples/sec accuracy=79.156762 loss=0.832096 lr=0.000469 Epoch[188] Batch [3099]/[3760] Speed: 65.955753 samples/sec accuracy=79.157258 loss=0.831711 lr=0.000467 Epoch[188] Batch [3149]/[3760] Speed: 64.219843 samples/sec accuracy=79.126984 loss=0.832245 lr=0.000466 Epoch[188] 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accuracy=79.127140 loss=0.831896 lr=0.000448 Epoch[188] Batch [3699]/[3760] Speed: 65.506905 samples/sec accuracy=79.115709 loss=0.832345 lr=0.000447 Epoch[188] Batch [3749]/[3760] Speed: 67.250495 samples/sec accuracy=79.108750 loss=0.832517 lr=0.000445 Batch [0049]/[0303]: acc-top1=65.437500 acc-top5=85.937500 Batch [0099]/[0303]: acc-top1=66.218750 acc-top5=86.140625 Batch [0149]/[0303]: acc-top1=66.500000 acc-top5=86.260417 Batch [0199]/[0303]: acc-top1=66.406250 acc-top5=86.132812 Batch [0249]/[0303]: acc-top1=66.768750 acc-top5=86.206250 Batch [0299]/[0303]: acc-top1=66.927083 acc-top5=86.302083 [Epoch 188] training: accuracy=79.107796 loss=0.832457 [Epoch 188] speed: 64 samples/sec time cost: 3980.493979 [Epoch 188] validation: acc-top1=66.934818 acc-top5=86.293317 loss=1.588439 Epoch[189] Batch [0049]/[3759] Speed: 44.144605 samples/sec accuracy=78.656250 loss=0.836955 lr=0.000443 Epoch[189] Batch [0099]/[3759] Speed: 63.286920 samples/sec accuracy=79.109375 loss=0.812131 lr=0.000441 Epoch[189] Batch [0149]/[3759] Speed: 65.043222 samples/sec accuracy=79.052083 loss=0.819242 lr=0.000440 Epoch[189] Batch [0199]/[3759] Speed: 64.320918 samples/sec accuracy=79.382812 loss=0.811321 lr=0.000438 Epoch[189] Batch [0249]/[3759] Speed: 64.987331 samples/sec accuracy=79.275000 loss=0.819509 lr=0.000436 Epoch[189] Batch [0299]/[3759] Speed: 63.133740 samples/sec accuracy=79.312500 loss=0.814117 lr=0.000435 Epoch[189] Batch [0349]/[3759] Speed: 65.174466 samples/sec accuracy=79.321429 loss=0.819666 lr=0.000433 Epoch[189] Batch [0399]/[3759] Speed: 64.613801 samples/sec accuracy=79.273438 loss=0.826000 lr=0.000431 Epoch[189] Batch [0449]/[3759] Speed: 65.689766 samples/sec accuracy=79.315972 loss=0.823341 lr=0.000430 Epoch[189] Batch [0499]/[3759] Speed: 63.951837 samples/sec accuracy=79.271875 loss=0.824575 lr=0.000428 Epoch[189] Batch [0549]/[3759] Speed: 66.118173 samples/sec accuracy=79.303977 loss=0.825859 lr=0.000426 Epoch[189] Batch [0599]/[3759] Speed: 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lr=0.000410 Epoch[189] Batch [1099]/[3759] Speed: 65.121902 samples/sec accuracy=79.427557 loss=0.822537 lr=0.000408 Epoch[189] Batch [1149]/[3759] Speed: 65.640159 samples/sec accuracy=79.426630 loss=0.822529 lr=0.000407 Epoch[189] Batch [1199]/[3759] Speed: 63.422524 samples/sec accuracy=79.454427 loss=0.822056 lr=0.000405 Epoch[189] Batch [1249]/[3759] Speed: 65.280361 samples/sec accuracy=79.473750 loss=0.820614 lr=0.000403 Epoch[189] Batch [1299]/[3759] Speed: 65.257177 samples/sec accuracy=79.419471 loss=0.822818 lr=0.000402 Epoch[189] Batch [1349]/[3759] Speed: 64.997928 samples/sec accuracy=79.472222 loss=0.821276 lr=0.000400 Epoch[189] Batch [1399]/[3759] Speed: 65.654088 samples/sec accuracy=79.510045 loss=0.819926 lr=0.000398 Epoch[189] Batch [1449]/[3759] Speed: 63.469107 samples/sec accuracy=79.526940 loss=0.819195 lr=0.000397 Epoch[189] Batch [1499]/[3759] Speed: 66.260959 samples/sec accuracy=79.503125 loss=0.819375 lr=0.000395 Epoch[189] Batch [1549]/[3759] Speed: 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lr=0.000379 Epoch[189] Batch [2049]/[3759] Speed: 64.103760 samples/sec accuracy=79.509909 loss=0.818728 lr=0.000378 Epoch[189] Batch [2099]/[3759] Speed: 66.496414 samples/sec accuracy=79.488095 loss=0.819979 lr=0.000376 Epoch[189] Batch [2149]/[3759] Speed: 65.668705 samples/sec accuracy=79.484012 loss=0.819748 lr=0.000375 Epoch[189] Batch [2199]/[3759] Speed: 65.610189 samples/sec accuracy=79.454545 loss=0.819934 lr=0.000373 Epoch[189] Batch [2249]/[3759] Speed: 65.643298 samples/sec accuracy=79.454167 loss=0.819798 lr=0.000372 Epoch[189] Batch [2299]/[3759] Speed: 66.314942 samples/sec accuracy=79.440217 loss=0.819999 lr=0.000370 Epoch[189] Batch [2349]/[3759] Speed: 64.031953 samples/sec accuracy=79.438830 loss=0.820282 lr=0.000369 Epoch[189] Batch [2399]/[3759] Speed: 66.502758 samples/sec accuracy=79.452474 loss=0.819463 lr=0.000367 Epoch[189] Batch [2449]/[3759] Speed: 65.457848 samples/sec accuracy=79.464923 loss=0.818979 lr=0.000365 Epoch[189] Batch [2499]/[3759] Speed: 65.739209 samples/sec accuracy=79.496875 loss=0.818128 lr=0.000364 Epoch[189] Batch [2549]/[3759] Speed: 65.541666 samples/sec accuracy=79.476716 loss=0.818079 lr=0.000362 Epoch[189] Batch [2599]/[3759] Speed: 65.587737 samples/sec accuracy=79.435697 loss=0.819911 lr=0.000361 Epoch[189] Batch [2649]/[3759] Speed: 63.772092 samples/sec accuracy=79.429835 loss=0.820030 lr=0.000359 Epoch[189] Batch [2699]/[3759] Speed: 66.297655 samples/sec accuracy=79.413773 loss=0.820684 lr=0.000358 Epoch[189] Batch [2749]/[3759] Speed: 65.369019 samples/sec accuracy=79.413636 loss=0.820689 lr=0.000356 Epoch[189] Batch [2799]/[3759] Speed: 65.176969 samples/sec accuracy=79.412946 loss=0.820467 lr=0.000355 Epoch[189] Batch [2849]/[3759] Speed: 65.521184 samples/sec accuracy=79.395285 loss=0.820546 lr=0.000353 Epoch[189] Batch [2899]/[3759] Speed: 65.126927 samples/sec accuracy=79.400862 loss=0.820624 lr=0.000352 Epoch[189] Batch [2949]/[3759] Speed: 63.911815 samples/sec accuracy=79.396716 loss=0.820397 lr=0.000350 Epoch[189] Batch [2999]/[3759] Speed: 65.174608 samples/sec accuracy=79.404167 loss=0.820102 lr=0.000349 Epoch[189] Batch [3049]/[3759] Speed: 66.119115 samples/sec accuracy=79.417008 loss=0.819569 lr=0.000347 Epoch[189] Batch [3099]/[3759] Speed: 65.334369 samples/sec accuracy=79.432964 loss=0.818501 lr=0.000346 Epoch[189] Batch [3149]/[3759] Speed: 65.079078 samples/sec accuracy=79.433036 loss=0.818665 lr=0.000344 Epoch[189] Batch [3199]/[3759] Speed: 64.853483 samples/sec accuracy=79.423340 loss=0.819074 lr=0.000343 Epoch[189] Batch [3249]/[3759] Speed: 64.724457 samples/sec accuracy=79.427885 loss=0.818762 lr=0.000341 Epoch[189] Batch [3299]/[3759] Speed: 65.081503 samples/sec accuracy=79.433712 loss=0.818765 lr=0.000340 Epoch[189] Batch [3349]/[3759] Speed: 65.755093 samples/sec accuracy=79.424440 loss=0.818927 lr=0.000338 Epoch[189] Batch [3399]/[3759] Speed: 64.187743 samples/sec accuracy=79.432904 loss=0.818712 lr=0.000337 Epoch[189] Batch [3449]/[3759] Speed: 65.403638 samples/sec accuracy=79.429801 loss=0.819222 lr=0.000335 Epoch[189] Batch [3499]/[3759] Speed: 64.146375 samples/sec accuracy=79.420536 loss=0.819362 lr=0.000334 Epoch[189] Batch [3549]/[3759] Speed: 64.618612 samples/sec accuracy=79.413732 loss=0.819985 lr=0.000332 Epoch[189] Batch [3599]/[3759] Speed: 64.747428 samples/sec accuracy=79.409722 loss=0.819951 lr=0.000331 Epoch[189] Batch [3649]/[3759] Speed: 65.352473 samples/sec accuracy=79.419949 loss=0.819637 lr=0.000329 Epoch[189] Batch [3699]/[3759] Speed: 64.898823 samples/sec accuracy=79.413429 loss=0.819998 lr=0.000328 Epoch[189] Batch [3749]/[3759] Speed: 68.230129 samples/sec accuracy=79.410417 loss=0.820113 lr=0.000327 Batch [0049]/[0303]: acc-top1=66.000000 acc-top5=86.437500 Batch [0099]/[0303]: acc-top1=66.562500 acc-top5=86.468750 Batch [0149]/[0303]: acc-top1=66.854167 acc-top5=86.500000 Batch [0199]/[0303]: acc-top1=66.726562 acc-top5=86.234375 Batch [0249]/[0303]: acc-top1=67.081250 acc-top5=86.400000 Batch [0299]/[0303]: acc-top1=67.197917 acc-top5=86.473958 [Epoch 189] training: accuracy=79.418146 loss=0.820038 [Epoch 189] speed: 64 samples/sec time cost: 3990.411683 [Epoch 189] validation: acc-top1=67.197814 acc-top5=86.468647 loss=1.581126 Epoch[190] Batch [0049]/[3760] Speed: 43.542136 samples/sec accuracy=79.125000 loss=0.831523 lr=0.000325 Epoch[190] Batch [0099]/[3760] Speed: 62.629549 samples/sec accuracy=79.187500 loss=0.834349 lr=0.000323 Epoch[190] Batch [0149]/[3760] Speed: 64.438834 samples/sec accuracy=79.322917 loss=0.834126 lr=0.000322 Epoch[190] Batch [0199]/[3760] Speed: 63.982809 samples/sec accuracy=79.523438 loss=0.818964 lr=0.000321 Epoch[190] Batch [0249]/[3760] Speed: 64.899500 samples/sec accuracy=79.437500 loss=0.821264 lr=0.000319 Epoch[190] Batch [0299]/[3760] Speed: 63.931810 samples/sec accuracy=79.572917 loss=0.813431 lr=0.000318 Epoch[190] Batch [0349]/[3760] Speed: 65.937443 samples/sec accuracy=79.473214 loss=0.817522 lr=0.000316 Epoch[190] Batch 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accuracy=79.630515 loss=0.810738 lr=0.000302 Epoch[190] Batch [0899]/[3760] Speed: 65.691108 samples/sec accuracy=79.651042 loss=0.809881 lr=0.000301 Epoch[190] Batch [0949]/[3760] Speed: 65.700634 samples/sec accuracy=79.675987 loss=0.809070 lr=0.000299 Epoch[190] Batch [0999]/[3760] Speed: 64.600644 samples/sec accuracy=79.725000 loss=0.807745 lr=0.000298 Epoch[190] Batch [1049]/[3760] Speed: 65.814559 samples/sec accuracy=79.747024 loss=0.806930 lr=0.000296 Epoch[190] Batch [1099]/[3760] Speed: 65.403629 samples/sec accuracy=79.775568 loss=0.805327 lr=0.000295 Epoch[190] Batch [1149]/[3760] Speed: 65.794051 samples/sec accuracy=79.790761 loss=0.803622 lr=0.000294 Epoch[190] Batch [1199]/[3760] Speed: 65.755286 samples/sec accuracy=79.876302 loss=0.800514 lr=0.000292 Epoch[190] Batch [1249]/[3760] Speed: 65.629385 samples/sec accuracy=79.877500 loss=0.800904 lr=0.000291 Epoch[190] Batch [1299]/[3760] Speed: 64.453857 samples/sec accuracy=79.841346 loss=0.800906 lr=0.000290 Epoch[190] 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accuracy=79.845486 loss=0.799579 lr=0.000276 Epoch[190] Batch [1849]/[3760] Speed: 65.421618 samples/sec accuracy=79.839527 loss=0.800211 lr=0.000275 Epoch[190] Batch [1899]/[3760] Speed: 64.422446 samples/sec accuracy=79.843750 loss=0.799594 lr=0.000273 Epoch[190] Batch [1949]/[3760] Speed: 65.357476 samples/sec accuracy=79.831731 loss=0.799489 lr=0.000272 Epoch[190] Batch [1999]/[3760] Speed: 65.309671 samples/sec accuracy=79.824219 loss=0.799843 lr=0.000271 Epoch[190] Batch [2049]/[3760] Speed: 65.266721 samples/sec accuracy=79.809451 loss=0.800222 lr=0.000269 Epoch[190] Batch [2099]/[3760] Speed: 65.431041 samples/sec accuracy=79.811012 loss=0.800518 lr=0.000268 Epoch[190] Batch [2149]/[3760] Speed: 64.830429 samples/sec accuracy=79.816860 loss=0.800850 lr=0.000267 Epoch[190] Batch [2199]/[3760] Speed: 65.120637 samples/sec accuracy=79.806108 loss=0.801107 lr=0.000265 Epoch[190] Batch [2249]/[3760] Speed: 65.364836 samples/sec accuracy=79.808333 loss=0.801480 lr=0.000264 Epoch[190] 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accuracy=79.788068 loss=0.804027 lr=0.000251 Epoch[190] Batch [2799]/[3760] Speed: 66.800299 samples/sec accuracy=79.782924 loss=0.804292 lr=0.000250 Epoch[190] Batch [2849]/[3760] Speed: 65.110518 samples/sec accuracy=79.764803 loss=0.805026 lr=0.000249 Epoch[190] Batch [2899]/[3760] Speed: 65.608204 samples/sec accuracy=79.733836 loss=0.806479 lr=0.000247 Epoch[190] Batch [2949]/[3760] Speed: 65.560491 samples/sec accuracy=79.721398 loss=0.807083 lr=0.000246 Epoch[190] Batch [2999]/[3760] Speed: 65.850754 samples/sec accuracy=79.740104 loss=0.806518 lr=0.000245 Epoch[190] Batch [3049]/[3760] Speed: 63.992503 samples/sec accuracy=79.725410 loss=0.806811 lr=0.000244 Epoch[190] Batch [3099]/[3760] Speed: 66.548791 samples/sec accuracy=79.731351 loss=0.806518 lr=0.000242 Epoch[190] Batch [3149]/[3760] Speed: 65.623027 samples/sec accuracy=79.749504 loss=0.805951 lr=0.000241 Epoch[190] Batch [3199]/[3760] Speed: 66.151981 samples/sec accuracy=79.742676 loss=0.806366 lr=0.000240 Epoch[190] Batch [3249]/[3760] Speed: 65.511491 samples/sec accuracy=79.744712 loss=0.805852 lr=0.000239 Epoch[190] Batch [3299]/[3760] Speed: 66.113316 samples/sec accuracy=79.734848 loss=0.805890 lr=0.000237 Epoch[190] Batch [3349]/[3760] Speed: 63.818118 samples/sec accuracy=79.730410 loss=0.806434 lr=0.000236 Epoch[190] Batch [3399]/[3760] Speed: 66.613467 samples/sec accuracy=79.703125 loss=0.807593 lr=0.000235 Epoch[190] Batch [3449]/[3760] Speed: 65.256052 samples/sec accuracy=79.702446 loss=0.807498 lr=0.000234 Epoch[190] Batch [3499]/[3760] Speed: 65.981681 samples/sec accuracy=79.705804 loss=0.807391 lr=0.000232 Epoch[190] Batch [3549]/[3760] Speed: 65.280829 samples/sec accuracy=79.702465 loss=0.807391 lr=0.000231 Epoch[190] Batch [3599]/[3760] Speed: 65.940098 samples/sec accuracy=79.708333 loss=0.807032 lr=0.000230 Epoch[190] Batch [3649]/[3760] Speed: 63.784362 samples/sec accuracy=79.699486 loss=0.807459 lr=0.000229 Epoch[190] Batch [3699]/[3760] Speed: 66.815747 samples/sec accuracy=79.705236 loss=0.807549 lr=0.000228 Epoch[190] Batch [3749]/[3760] Speed: 68.719813 samples/sec accuracy=79.710000 loss=0.807165 lr=0.000226 Batch [0049]/[0303]: acc-top1=65.625000 acc-top5=86.156250 Batch [0099]/[0303]: acc-top1=66.234375 acc-top5=86.156250 Batch [0149]/[0303]: acc-top1=66.437500 acc-top5=86.302083 Batch [0199]/[0303]: acc-top1=66.359375 acc-top5=86.093750 Batch [0249]/[0303]: acc-top1=66.762500 acc-top5=86.206250 Batch [0299]/[0303]: acc-top1=66.942708 acc-top5=86.354167 [Epoch 190] training: accuracy=79.711602 loss=0.807225 [Epoch 190] speed: 64 samples/sec time cost: 3978.556454 [Epoch 190] validation: acc-top1=66.955446 acc-top5=86.344884 loss=1.585046 Epoch[191] Batch [0049]/[3760] Speed: 43.306258 samples/sec accuracy=79.500000 loss=0.828117 lr=0.000225 Epoch[191] Batch [0099]/[3760] Speed: 63.979735 samples/sec accuracy=79.921875 loss=0.809290 lr=0.000224 Epoch[191] Batch [0149]/[3760] Speed: 64.672387 samples/sec accuracy=79.843750 loss=0.805964 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lr=0.000200 Epoch[191] Batch [1149]/[3760] Speed: 64.577610 samples/sec accuracy=79.728261 loss=0.804200 lr=0.000199 Epoch[191] Batch [1199]/[3760] Speed: 65.250203 samples/sec accuracy=79.747396 loss=0.804071 lr=0.000198 Epoch[191] Batch [1249]/[3760] Speed: 64.728570 samples/sec accuracy=79.763750 loss=0.803435 lr=0.000197 Epoch[191] Batch [1299]/[3760] Speed: 64.840491 samples/sec accuracy=79.753606 loss=0.803099 lr=0.000196 Epoch[191] Batch [1349]/[3760] Speed: 64.661104 samples/sec accuracy=79.750000 loss=0.803113 lr=0.000195 Epoch[191] Batch [1399]/[3760] Speed: 64.470540 samples/sec accuracy=79.787946 loss=0.801918 lr=0.000194 Epoch[191] Batch [1449]/[3760] Speed: 65.393483 samples/sec accuracy=79.793103 loss=0.801735 lr=0.000192 Epoch[191] Batch [1499]/[3760] Speed: 65.070019 samples/sec accuracy=79.808333 loss=0.801134 lr=0.000191 Epoch[191] Batch [1549]/[3760] Speed: 65.566741 samples/sec accuracy=79.817540 loss=0.800449 lr=0.000190 Epoch[191] Batch [1599]/[3760] Speed: 64.697058 samples/sec accuracy=79.804688 loss=0.801340 lr=0.000189 Epoch[191] Batch [1649]/[3760] Speed: 65.417059 samples/sec accuracy=79.775568 loss=0.801581 lr=0.000188 Epoch[191] Batch [1699]/[3760] Speed: 63.844147 samples/sec accuracy=79.785846 loss=0.801650 lr=0.000187 Epoch[191] Batch [1749]/[3760] Speed: 65.704703 samples/sec accuracy=79.791964 loss=0.801433 lr=0.000186 Epoch[191] Batch [1799]/[3760] Speed: 65.702597 samples/sec accuracy=79.795139 loss=0.801589 lr=0.000185 Epoch[191] Batch [1849]/[3760] Speed: 65.888577 samples/sec accuracy=79.777872 loss=0.802341 lr=0.000184 Epoch[191] Batch [1899]/[3760] Speed: 65.677309 samples/sec accuracy=79.790296 loss=0.802107 lr=0.000182 Epoch[191] Batch [1949]/[3760] Speed: 65.138127 samples/sec accuracy=79.814904 loss=0.801412 lr=0.000181 Epoch[191] Batch [1999]/[3760] Speed: 64.583500 samples/sec accuracy=79.850000 loss=0.799962 lr=0.000180 Epoch[191] Batch [2049]/[3760] Speed: 65.576264 samples/sec accuracy=79.868902 loss=0.799750 lr=0.000179 Epoch[191] Batch [2099]/[3760] Speed: 65.104476 samples/sec accuracy=79.872024 loss=0.799242 lr=0.000178 Epoch[191] Batch [2149]/[3760] Speed: 65.326273 samples/sec accuracy=79.875000 loss=0.799747 lr=0.000177 Epoch[191] Batch [2199]/[3760] Speed: 65.421363 samples/sec accuracy=79.863636 loss=0.800580 lr=0.000176 Epoch[191] Batch [2249]/[3760] Speed: 65.482503 samples/sec accuracy=79.855556 loss=0.800406 lr=0.000175 Epoch[191] Batch [2299]/[3760] Speed: 64.179684 samples/sec accuracy=79.865489 loss=0.799896 lr=0.000174 Epoch[191] Batch [2349]/[3760] Speed: 65.387598 samples/sec accuracy=79.898271 loss=0.799285 lr=0.000173 Epoch[191] Batch [2399]/[3760] Speed: 65.281559 samples/sec accuracy=79.860677 loss=0.800351 lr=0.000172 Epoch[191] Batch [2449]/[3760] Speed: 65.475970 samples/sec accuracy=79.874362 loss=0.800091 lr=0.000171 Epoch[191] Batch [2499]/[3760] Speed: 65.737704 samples/sec accuracy=79.853750 loss=0.800544 lr=0.000170 Epoch[191] Batch [2549]/[3760] Speed: 64.893603 samples/sec accuracy=79.833946 loss=0.801209 lr=0.000169 Epoch[191] Batch [2599]/[3760] Speed: 64.826771 samples/sec accuracy=79.825120 loss=0.802037 lr=0.000168 Epoch[191] Batch [2649]/[3760] Speed: 64.986771 samples/sec accuracy=79.836675 loss=0.801497 lr=0.000167 Epoch[191] Batch [2699]/[3760] Speed: 65.476977 samples/sec accuracy=79.847222 loss=0.801229 lr=0.000165 Epoch[191] Batch [2749]/[3760] Speed: 65.373453 samples/sec accuracy=79.863068 loss=0.800815 lr=0.000164 Epoch[191] Batch [2799]/[3760] Speed: 65.569421 samples/sec accuracy=79.875000 loss=0.800688 lr=0.000163 Epoch[191] Batch [2849]/[3760] Speed: 65.496406 samples/sec accuracy=79.861294 loss=0.800809 lr=0.000162 Epoch[191] Batch [2899]/[3760] Speed: 64.529217 samples/sec accuracy=79.847522 loss=0.801680 lr=0.000161 Epoch[191] Batch [2949]/[3760] Speed: 65.743421 samples/sec accuracy=79.868114 loss=0.800463 lr=0.000160 Epoch[191] Batch [2999]/[3760] Speed: 66.184560 samples/sec accuracy=79.867708 loss=0.800265 lr=0.000159 Epoch[191] Batch [3049]/[3760] Speed: 65.706381 samples/sec accuracy=79.882684 loss=0.799739 lr=0.000158 Epoch[191] Batch [3099]/[3760] Speed: 65.891290 samples/sec accuracy=79.894657 loss=0.799403 lr=0.000157 Epoch[191] Batch [3149]/[3760] Speed: 66.116225 samples/sec accuracy=79.893849 loss=0.799380 lr=0.000156 Epoch[191] Batch [3199]/[3760] Speed: 64.793440 samples/sec accuracy=79.897461 loss=0.799398 lr=0.000155 Epoch[191] Batch [3249]/[3760] Speed: 66.181274 samples/sec accuracy=79.902404 loss=0.799648 lr=0.000154 Epoch[191] Batch [3299]/[3760] Speed: 65.604287 samples/sec accuracy=79.888731 loss=0.800052 lr=0.000153 Epoch[191] Batch [3349]/[3760] Speed: 66.216148 samples/sec accuracy=79.880597 loss=0.800228 lr=0.000152 Epoch[191] Batch [3399]/[3760] Speed: 65.574623 samples/sec accuracy=79.882353 loss=0.800100 lr=0.000151 Epoch[191] Batch [3449]/[3760] Speed: 65.588685 samples/sec accuracy=79.882246 loss=0.799927 lr=0.000150 Epoch[191] Batch [3499]/[3760] Speed: 64.883921 samples/sec accuracy=79.893750 loss=0.799697 lr=0.000149 Epoch[191] Batch [3549]/[3760] Speed: 65.842250 samples/sec accuracy=79.898768 loss=0.799536 lr=0.000148 Epoch[191] Batch [3599]/[3760] Speed: 65.936101 samples/sec accuracy=79.891493 loss=0.799842 lr=0.000147 Epoch[191] Batch [3649]/[3760] Speed: 65.720919 samples/sec accuracy=79.885702 loss=0.800371 lr=0.000146 Epoch[191] Batch [3699]/[3760] Speed: 65.640919 samples/sec accuracy=79.880490 loss=0.800867 lr=0.000145 Epoch[191] Batch [3749]/[3760] Speed: 68.573101 samples/sec accuracy=79.879167 loss=0.800875 lr=0.000144 Batch [0049]/[0303]: acc-top1=65.843750 acc-top5=86.656250 Batch [0099]/[0303]: acc-top1=66.453125 acc-top5=86.531250 Batch [0149]/[0303]: acc-top1=66.687500 acc-top5=86.447917 Batch [0199]/[0303]: acc-top1=66.617188 acc-top5=86.203125 Batch [0249]/[0303]: acc-top1=66.900000 acc-top5=86.300000 Batch [0299]/[0303]: acc-top1=67.031250 acc-top5=86.473958 [Epoch 191] training: accuracy=79.884059 loss=0.800803 [Epoch 191] speed: 64 samples/sec time cost: 3980.197587 [Epoch 191] validation: acc-top1=67.053424 acc-top5=86.468647 loss=1.576447 Epoch[192] Batch [0049]/[3759] Speed: 42.985525 samples/sec accuracy=79.812500 loss=0.797260 lr=0.000143 Epoch[192] Batch [0099]/[3759] Speed: 64.499259 samples/sec accuracy=80.062500 loss=0.803520 lr=0.000142 Epoch[192] Batch [0149]/[3759] Speed: 64.779123 samples/sec accuracy=79.895833 loss=0.802679 lr=0.000141 Epoch[192] Batch [0199]/[3759] Speed: 64.493543 samples/sec accuracy=80.078125 loss=0.800593 lr=0.000140 Epoch[192] Batch [0249]/[3759] Speed: 65.526882 samples/sec accuracy=80.262500 loss=0.796468 lr=0.000139 Epoch[192] Batch [0299]/[3759] Speed: 64.610921 samples/sec accuracy=80.276042 loss=0.793605 lr=0.000139 Epoch[192] Batch [0349]/[3759] Speed: 64.083179 samples/sec accuracy=80.200893 loss=0.794871 lr=0.000138 Epoch[192] Batch [0399]/[3759] Speed: 64.516536 samples/sec accuracy=80.226562 loss=0.794491 lr=0.000137 Epoch[192] Batch 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accuracy=80.164931 loss=0.793875 lr=0.000127 Epoch[192] Batch [0949]/[3759] Speed: 65.071748 samples/sec accuracy=80.144737 loss=0.794354 lr=0.000126 Epoch[192] Batch [0999]/[3759] Speed: 65.011272 samples/sec accuracy=80.184375 loss=0.793652 lr=0.000126 Epoch[192] Batch [1049]/[3759] Speed: 66.019374 samples/sec accuracy=80.163690 loss=0.793581 lr=0.000125 Epoch[192] Batch [1099]/[3759] Speed: 65.230186 samples/sec accuracy=80.143466 loss=0.795243 lr=0.000124 Epoch[192] Batch [1149]/[3759] Speed: 65.967265 samples/sec accuracy=80.131793 loss=0.795309 lr=0.000123 Epoch[192] Batch [1199]/[3759] Speed: 65.572233 samples/sec accuracy=80.122396 loss=0.794892 lr=0.000122 Epoch[192] Batch [1249]/[3759] Speed: 64.442500 samples/sec accuracy=80.117500 loss=0.794186 lr=0.000121 Epoch[192] Batch [1299]/[3759] Speed: 65.605015 samples/sec accuracy=80.152644 loss=0.792605 lr=0.000120 Epoch[192] Batch [1349]/[3759] Speed: 65.801669 samples/sec accuracy=80.174769 loss=0.791964 lr=0.000119 Epoch[192] 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accuracy=80.145270 loss=0.792601 lr=0.000111 Epoch[192] Batch [1899]/[3759] Speed: 65.518480 samples/sec accuracy=80.127467 loss=0.792180 lr=0.000110 Epoch[192] Batch [1949]/[3759] Speed: 63.957825 samples/sec accuracy=80.141026 loss=0.791975 lr=0.000109 Epoch[192] Batch [1999]/[3759] Speed: 65.151264 samples/sec accuracy=80.117969 loss=0.792627 lr=0.000108 Epoch[192] Batch [2049]/[3759] Speed: 64.447960 samples/sec accuracy=80.141768 loss=0.791419 lr=0.000107 Epoch[192] Batch [2099]/[3759] Speed: 65.791288 samples/sec accuracy=80.130208 loss=0.792433 lr=0.000106 Epoch[192] Batch [2149]/[3759] Speed: 63.899506 samples/sec accuracy=80.119913 loss=0.792715 lr=0.000106 Epoch[192] Batch [2199]/[3759] Speed: 66.024563 samples/sec accuracy=80.095170 loss=0.793349 lr=0.000105 Epoch[192] Batch [2249]/[3759] Speed: 65.140018 samples/sec accuracy=80.116667 loss=0.792515 lr=0.000104 Epoch[192] Batch [2299]/[3759] Speed: 66.060790 samples/sec accuracy=80.104620 loss=0.792940 lr=0.000103 Epoch[192] 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accuracy=80.112165 loss=0.794006 lr=0.000095 Epoch[192] Batch [2849]/[3759] Speed: 65.687334 samples/sec accuracy=80.119518 loss=0.793791 lr=0.000094 Epoch[192] Batch [2899]/[3759] Speed: 64.906763 samples/sec accuracy=80.136853 loss=0.793365 lr=0.000094 Epoch[192] Batch [2949]/[3759] Speed: 65.961352 samples/sec accuracy=80.137712 loss=0.793476 lr=0.000093 Epoch[192] Batch [2999]/[3759] Speed: 64.814730 samples/sec accuracy=80.127604 loss=0.793309 lr=0.000092 Epoch[192] Batch [3049]/[3759] Speed: 65.145120 samples/sec accuracy=80.115266 loss=0.793872 lr=0.000091 Epoch[192] Batch [3099]/[3759] Speed: 65.496609 samples/sec accuracy=80.119456 loss=0.793628 lr=0.000091 Epoch[192] Batch [3149]/[3759] Speed: 65.549033 samples/sec accuracy=80.123512 loss=0.793332 lr=0.000090 Epoch[192] Batch [3199]/[3759] Speed: 65.453407 samples/sec accuracy=80.124023 loss=0.793073 lr=0.000089 Epoch[192] Batch [3249]/[3759] Speed: 65.646580 samples/sec accuracy=80.106731 loss=0.793496 lr=0.000088 Epoch[192] 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accuracy=80.072917 loss=0.794535 lr=0.000081 Batch [0049]/[0303]: acc-top1=65.375000 acc-top5=86.156250 Batch [0099]/[0303]: acc-top1=66.390625 acc-top5=86.265625 Batch [0149]/[0303]: acc-top1=66.625000 acc-top5=86.312500 Batch [0199]/[0303]: acc-top1=66.539062 acc-top5=86.054688 Batch [0249]/[0303]: acc-top1=66.825000 acc-top5=86.212500 Batch [0299]/[0303]: acc-top1=67.010417 acc-top5=86.411458 [Epoch 192] training: accuracy=80.075319 loss=0.794545 [Epoch 192] speed: 64 samples/sec time cost: 3981.278050 [Epoch 192] validation: acc-top1=67.012170 acc-top5=86.406766 loss=1.580158 Epoch[193] Batch [0049]/[3760] Speed: 43.363882 samples/sec accuracy=81.187500 loss=0.761235 lr=0.000080 Epoch[193] Batch [0099]/[3760] Speed: 63.884832 samples/sec accuracy=81.078125 loss=0.762769 lr=0.000079 Epoch[193] Batch [0149]/[3760] Speed: 63.760028 samples/sec accuracy=80.958333 loss=0.771235 lr=0.000079 Epoch[193] Batch [0199]/[3760] Speed: 63.221594 samples/sec accuracy=80.656250 loss=0.772153 lr=0.000078 Epoch[193] Batch [0249]/[3760] Speed: 65.141318 samples/sec accuracy=80.368750 loss=0.780464 lr=0.000077 Epoch[193] Batch [0299]/[3760] Speed: 63.943152 samples/sec accuracy=80.223958 loss=0.783493 lr=0.000076 Epoch[193] Batch [0349]/[3760] Speed: 65.520700 samples/sec accuracy=80.187500 loss=0.785620 lr=0.000076 Epoch[193] Batch [0399]/[3760] Speed: 64.421636 samples/sec accuracy=80.238281 loss=0.781300 lr=0.000075 Epoch[193] Batch [0449]/[3760] Speed: 65.543528 samples/sec accuracy=80.260417 loss=0.783134 lr=0.000074 Epoch[193] Batch [0499]/[3760] Speed: 63.872202 samples/sec accuracy=80.187500 loss=0.788072 lr=0.000074 Epoch[193] Batch [0549]/[3760] Speed: 65.677602 samples/sec accuracy=80.031250 loss=0.793821 lr=0.000073 Epoch[193] Batch [0599]/[3760] Speed: 64.998689 samples/sec accuracy=80.083333 loss=0.792185 lr=0.000072 Epoch[193] Batch [0649]/[3760] Speed: 65.882033 samples/sec accuracy=80.112981 loss=0.790652 lr=0.000072 Epoch[193] Batch [0699]/[3760] Speed: 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lr=0.000065 Epoch[193] Batch [1199]/[3760] Speed: 65.147898 samples/sec accuracy=80.226562 loss=0.786185 lr=0.000064 Epoch[193] Batch [1249]/[3760] Speed: 66.206367 samples/sec accuracy=80.238750 loss=0.786014 lr=0.000064 Epoch[193] Batch [1299]/[3760] Speed: 65.274934 samples/sec accuracy=80.219952 loss=0.786972 lr=0.000063 Epoch[193] Batch [1349]/[3760] Speed: 65.793401 samples/sec accuracy=80.232639 loss=0.786385 lr=0.000062 Epoch[193] Batch [1399]/[3760] Speed: 64.406421 samples/sec accuracy=80.184152 loss=0.788037 lr=0.000062 Epoch[193] Batch [1449]/[3760] Speed: 65.750377 samples/sec accuracy=80.199353 loss=0.787156 lr=0.000061 Epoch[193] Batch [1499]/[3760] Speed: 66.091307 samples/sec accuracy=80.215625 loss=0.786442 lr=0.000060 Epoch[193] Batch [1549]/[3760] Speed: 65.596658 samples/sec accuracy=80.202621 loss=0.787813 lr=0.000060 Epoch[193] Batch [1599]/[3760] Speed: 65.747809 samples/sec accuracy=80.208008 loss=0.787678 lr=0.000059 Epoch[193] Batch [1649]/[3760] Speed: 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lr=0.000053 Epoch[193] Batch [2149]/[3760] Speed: 64.831625 samples/sec accuracy=80.227471 loss=0.788121 lr=0.000053 Epoch[193] Batch [2199]/[3760] Speed: 65.625032 samples/sec accuracy=80.212358 loss=0.789269 lr=0.000052 Epoch[193] Batch [2249]/[3760] Speed: 65.062644 samples/sec accuracy=80.220139 loss=0.788662 lr=0.000051 Epoch[193] Batch [2299]/[3760] Speed: 63.865821 samples/sec accuracy=80.227582 loss=0.788869 lr=0.000051 Epoch[193] Batch [2349]/[3760] Speed: 65.992142 samples/sec accuracy=80.223404 loss=0.789166 lr=0.000050 Epoch[193] Batch [2399]/[3760] Speed: 65.246032 samples/sec accuracy=80.235677 loss=0.789111 lr=0.000050 Epoch[193] Batch [2449]/[3760] Speed: 65.142707 samples/sec accuracy=80.244898 loss=0.788890 lr=0.000049 Epoch[193] Batch [2499]/[3760] Speed: 65.041689 samples/sec accuracy=80.270000 loss=0.788576 lr=0.000049 Epoch[193] Batch [2549]/[3760] Speed: 65.453291 samples/sec accuracy=80.253676 loss=0.788654 lr=0.000048 Epoch[193] Batch [2599]/[3760] Speed: 63.523502 samples/sec accuracy=80.263822 loss=0.788148 lr=0.000047 Epoch[193] Batch [2649]/[3760] Speed: 66.911211 samples/sec accuracy=80.229953 loss=0.789338 lr=0.000047 Epoch[193] Batch [2699]/[3760] Speed: 64.508214 samples/sec accuracy=80.226852 loss=0.789637 lr=0.000046 Epoch[193] Batch [2749]/[3760] Speed: 65.969620 samples/sec accuracy=80.231818 loss=0.789772 lr=0.000046 Epoch[193] Batch [2799]/[3760] Speed: 64.690096 samples/sec accuracy=80.224888 loss=0.789448 lr=0.000045 Epoch[193] Batch [2849]/[3760] Speed: 66.258852 samples/sec accuracy=80.225329 loss=0.789847 lr=0.000045 Epoch[193] Batch [2899]/[3760] Speed: 63.309658 samples/sec accuracy=80.202047 loss=0.790872 lr=0.000044 Epoch[193] Batch [2949]/[3760] Speed: 66.407842 samples/sec accuracy=80.193326 loss=0.791378 lr=0.000044 Epoch[193] Batch [2999]/[3760] Speed: 64.781691 samples/sec accuracy=80.189583 loss=0.791762 lr=0.000043 Epoch[193] Batch [3049]/[3760] Speed: 65.651661 samples/sec accuracy=80.193135 loss=0.791515 lr=0.000043 Epoch[193] Batch [3099]/[3760] Speed: 65.058335 samples/sec accuracy=80.186492 loss=0.791425 lr=0.000042 Epoch[193] Batch [3149]/[3760] Speed: 65.654466 samples/sec accuracy=80.193452 loss=0.791238 lr=0.000042 Epoch[193] Batch [3199]/[3760] Speed: 65.606724 samples/sec accuracy=80.206055 loss=0.791284 lr=0.000041 Epoch[193] Batch [3249]/[3760] Speed: 64.346173 samples/sec accuracy=80.188942 loss=0.791604 lr=0.000041 Epoch[193] Batch [3299]/[3760] Speed: 65.629200 samples/sec accuracy=80.198390 loss=0.791282 lr=0.000040 Epoch[193] Batch [3349]/[3760] Speed: 65.288840 samples/sec accuracy=80.194963 loss=0.791056 lr=0.000039 Epoch[193] Batch [3399]/[3760] Speed: 65.792283 samples/sec accuracy=80.190257 loss=0.791645 lr=0.000039 Epoch[193] Batch [3449]/[3760] Speed: 64.270648 samples/sec accuracy=80.185688 loss=0.792071 lr=0.000038 Epoch[193] Batch [3499]/[3760] Speed: 64.897354 samples/sec accuracy=80.175000 loss=0.792413 lr=0.000038 Epoch[193] Batch [3549]/[3760] Speed: 62.382615 samples/sec accuracy=80.170775 loss=0.792160 lr=0.000037 Epoch[193] Batch [3599]/[3760] Speed: 66.030824 samples/sec accuracy=80.155382 loss=0.792493 lr=0.000037 Epoch[193] Batch [3649]/[3760] Speed: 64.305387 samples/sec accuracy=80.159247 loss=0.792186 lr=0.000037 Epoch[193] Batch [3699]/[3760] Speed: 65.162448 samples/sec accuracy=80.172720 loss=0.791674 lr=0.000036 Epoch[193] Batch [3749]/[3760] Speed: 67.877832 samples/sec accuracy=80.188333 loss=0.791161 lr=0.000036 Batch [0049]/[0303]: acc-top1=65.968750 acc-top5=86.062500 Batch [0099]/[0303]: acc-top1=66.671875 acc-top5=86.171875 Batch [0149]/[0303]: acc-top1=66.802083 acc-top5=86.291667 Batch [0199]/[0303]: acc-top1=66.750000 acc-top5=86.093750 Batch [0249]/[0303]: acc-top1=67.050000 acc-top5=86.200000 Batch [0299]/[0303]: acc-top1=67.218750 acc-top5=86.364583 [Epoch 193] training: accuracy=80.185755 loss=0.791174 [Epoch 193] speed: 64 samples/sec time cost: 3987.382376 [Epoch 193] validation: acc-top1=67.228754 acc-top5=86.360355 loss=1.583508 Epoch[194] Batch [0049]/[3759] Speed: 42.785801 samples/sec accuracy=80.218750 loss=0.810551 lr=0.000035 Epoch[194] Batch [0099]/[3759] Speed: 64.122661 samples/sec accuracy=79.875000 loss=0.823185 lr=0.000035 Epoch[194] Batch [0149]/[3759] Speed: 64.442812 samples/sec accuracy=80.114583 loss=0.808564 lr=0.000034 Epoch[194] Batch [0199]/[3759] Speed: 64.116621 samples/sec accuracy=80.023438 loss=0.807300 lr=0.000034 Epoch[194] Batch [0249]/[3759] Speed: 65.002779 samples/sec accuracy=80.125000 loss=0.797368 lr=0.000033 Epoch[194] Batch [0299]/[3759] Speed: 64.330669 samples/sec accuracy=80.203125 loss=0.789583 lr=0.000033 Epoch[194] Batch [0349]/[3759] Speed: 63.941140 samples/sec accuracy=80.263393 loss=0.786566 lr=0.000032 Epoch[194] Batch [0399]/[3759] Speed: 64.881699 samples/sec accuracy=80.265625 loss=0.788645 lr=0.000032 Epoch[194] Batch [0449]/[3759] Speed: 65.700434 samples/sec accuracy=80.190972 loss=0.794114 lr=0.000031 Epoch[194] Batch 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accuracy=80.192434 loss=0.790584 lr=0.000027 Epoch[194] Batch [0999]/[3759] Speed: 64.234277 samples/sec accuracy=80.137500 loss=0.791290 lr=0.000027 Epoch[194] Batch [1049]/[3759] Speed: 65.606628 samples/sec accuracy=80.168155 loss=0.789139 lr=0.000026 Epoch[194] Batch [1099]/[3759] Speed: 65.063964 samples/sec accuracy=80.188920 loss=0.787740 lr=0.000026 Epoch[194] Batch [1149]/[3759] Speed: 66.140702 samples/sec accuracy=80.210598 loss=0.787049 lr=0.000025 Epoch[194] Batch [1199]/[3759] Speed: 64.489578 samples/sec accuracy=80.167969 loss=0.789510 lr=0.000025 Epoch[194] Batch [1249]/[3759] Speed: 66.259319 samples/sec accuracy=80.183750 loss=0.788713 lr=0.000024 Epoch[194] Batch [1299]/[3759] Speed: 63.308509 samples/sec accuracy=80.155048 loss=0.789667 lr=0.000024 Epoch[194] Batch [1349]/[3759] Speed: 65.721299 samples/sec accuracy=80.165509 loss=0.789672 lr=0.000024 Epoch[194] Batch [1399]/[3759] Speed: 64.454889 samples/sec accuracy=80.160714 loss=0.789613 lr=0.000023 Epoch[194] 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accuracy=80.265625 loss=0.784040 lr=0.000020 Epoch[194] Batch [1949]/[3759] Speed: 66.473964 samples/sec accuracy=80.246795 loss=0.784678 lr=0.000019 Epoch[194] Batch [1999]/[3759] Speed: 65.759797 samples/sec accuracy=80.259375 loss=0.783885 lr=0.000019 Epoch[194] Batch [2049]/[3759] Speed: 65.634412 samples/sec accuracy=80.240091 loss=0.785373 lr=0.000019 Epoch[194] Batch [2099]/[3759] Speed: 66.033667 samples/sec accuracy=80.267113 loss=0.784382 lr=0.000018 Epoch[194] Batch [2149]/[3759] Speed: 65.902731 samples/sec accuracy=80.266715 loss=0.784506 lr=0.000018 Epoch[194] Batch [2199]/[3759] Speed: 64.877432 samples/sec accuracy=80.263494 loss=0.784678 lr=0.000017 Epoch[194] Batch [2249]/[3759] Speed: 65.965256 samples/sec accuracy=80.270139 loss=0.785073 lr=0.000017 Epoch[194] Batch [2299]/[3759] Speed: 65.679532 samples/sec accuracy=80.264266 loss=0.785657 lr=0.000017 Epoch[194] Batch [2349]/[3759] Speed: 65.524325 samples/sec accuracy=80.242686 loss=0.786515 lr=0.000016 Epoch[194] 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accuracy=80.296601 loss=0.784899 lr=0.000013 Epoch[194] Batch [2899]/[3759] Speed: 64.188199 samples/sec accuracy=80.302263 loss=0.784369 lr=0.000013 Epoch[194] Batch [2949]/[3759] Speed: 65.396922 samples/sec accuracy=80.280191 loss=0.785592 lr=0.000013 Epoch[194] Batch [2999]/[3759] Speed: 63.696162 samples/sec accuracy=80.272917 loss=0.785548 lr=0.000013 Epoch[194] Batch [3049]/[3759] Speed: 65.733983 samples/sec accuracy=80.287398 loss=0.785029 lr=0.000012 Epoch[194] Batch [3099]/[3759] Speed: 62.674846 samples/sec accuracy=80.312500 loss=0.784379 lr=0.000012 Epoch[194] Batch [3149]/[3759] Speed: 65.798924 samples/sec accuracy=80.310516 loss=0.784486 lr=0.000012 Epoch[194] Batch [3199]/[3759] Speed: 65.310935 samples/sec accuracy=80.318359 loss=0.784405 lr=0.000011 Epoch[194] Batch [3249]/[3759] Speed: 65.408580 samples/sec accuracy=80.308654 loss=0.784391 lr=0.000011 Epoch[194] Batch [3299]/[3759] Speed: 65.303665 samples/sec accuracy=80.301610 loss=0.784460 lr=0.000011 Epoch[194] Batch [3349]/[3759] Speed: 65.425480 samples/sec accuracy=80.292910 loss=0.784574 lr=0.000011 Epoch[194] Batch [3399]/[3759] Speed: 64.108208 samples/sec accuracy=80.296875 loss=0.784601 lr=0.000010 Epoch[194] Batch [3449]/[3759] Speed: 66.037637 samples/sec accuracy=80.296649 loss=0.784728 lr=0.000010 Epoch[194] Batch [3499]/[3759] Speed: 65.594434 samples/sec accuracy=80.301786 loss=0.784489 lr=0.000010 Epoch[194] Batch [3549]/[3759] Speed: 65.994205 samples/sec accuracy=80.307658 loss=0.783939 lr=0.000010 Epoch[194] Batch [3599]/[3759] Speed: 66.021306 samples/sec accuracy=80.300781 loss=0.783686 lr=0.000009 Epoch[194] Batch [3649]/[3759] Speed: 65.209171 samples/sec accuracy=80.292808 loss=0.783740 lr=0.000009 Epoch[194] Batch [3699]/[3759] Speed: 64.407645 samples/sec accuracy=80.307432 loss=0.783210 lr=0.000009 Epoch[194] Batch [3749]/[3759] Speed: 69.686827 samples/sec accuracy=80.312500 loss=0.782952 lr=0.000009 Batch [0049]/[0303]: acc-top1=65.656250 acc-top5=86.218750 Batch [0099]/[0303]: acc-top1=66.406250 acc-top5=86.218750 Batch [0149]/[0303]: acc-top1=66.677083 acc-top5=86.427083 Batch [0199]/[0303]: acc-top1=66.609375 acc-top5=86.164062 Batch [0249]/[0303]: acc-top1=66.893750 acc-top5=86.306250 Batch [0299]/[0303]: acc-top1=67.072917 acc-top5=86.437500 [Epoch 194] training: accuracy=80.307263 loss=0.782999 [Epoch 194] speed: 64 samples/sec time cost: 3983.733104 [Epoch 194] validation: acc-top1=67.079208 acc-top5=86.427393 loss=1.575412 Epoch[195] Batch [0049]/[3760] Speed: 43.410722 samples/sec accuracy=78.906250 loss=0.839775 lr=0.000008 Epoch[195] Batch [0099]/[3760] Speed: 63.877909 samples/sec accuracy=80.093750 loss=0.790562 lr=0.000008 Epoch[195] Batch [0149]/[3760] Speed: 64.702310 samples/sec accuracy=80.250000 loss=0.786391 lr=0.000008 Epoch[195] Batch [0199]/[3760] Speed: 64.544296 samples/sec accuracy=80.226562 loss=0.787319 lr=0.000008 Epoch[195] Batch [0249]/[3760] Speed: 64.683419 samples/sec accuracy=80.475000 loss=0.781371 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lr=0.000004 Epoch[195] Batch [1249]/[3760] Speed: 65.811439 samples/sec accuracy=80.321250 loss=0.786192 lr=0.000004 Epoch[195] Batch [1299]/[3760] Speed: 65.172316 samples/sec accuracy=80.322115 loss=0.785952 lr=0.000004 Epoch[195] Batch [1349]/[3760] Speed: 65.996287 samples/sec accuracy=80.366898 loss=0.784641 lr=0.000003 Epoch[195] Batch [1399]/[3760] Speed: 65.556069 samples/sec accuracy=80.371652 loss=0.782949 lr=0.000003 Epoch[195] Batch [1449]/[3760] Speed: 65.261757 samples/sec accuracy=80.377155 loss=0.782699 lr=0.000003 Epoch[195] Batch [1499]/[3760] Speed: 64.289613 samples/sec accuracy=80.366667 loss=0.782839 lr=0.000003 Epoch[195] Batch [1549]/[3760] Speed: 65.422245 samples/sec accuracy=80.378024 loss=0.783259 lr=0.000003 Epoch[195] Batch [1599]/[3760] Speed: 65.430438 samples/sec accuracy=80.372070 loss=0.783292 lr=0.000003 Epoch[195] Batch [1649]/[3760] Speed: 64.784916 samples/sec accuracy=80.344697 loss=0.784502 lr=0.000003 Epoch[195] Batch [1699]/[3760] Speed: 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lr=0.000001 Epoch[195] Batch [2199]/[3760] Speed: 64.875886 samples/sec accuracy=80.377841 loss=0.781246 lr=0.000001 Epoch[195] Batch [2249]/[3760] Speed: 65.314651 samples/sec accuracy=80.375694 loss=0.781480 lr=0.000001 Epoch[195] Batch [2299]/[3760] Speed: 64.696828 samples/sec accuracy=80.397418 loss=0.781215 lr=0.000001 Epoch[195] Batch [2349]/[3760] Speed: 65.040552 samples/sec accuracy=80.400931 loss=0.781113 lr=0.000001 Epoch[195] Batch [2399]/[3760] Speed: 63.985622 samples/sec accuracy=80.395833 loss=0.780778 lr=0.000001 Epoch[195] Batch [2449]/[3760] Speed: 65.799494 samples/sec accuracy=80.394770 loss=0.780289 lr=0.000001 Epoch[195] Batch [2499]/[3760] Speed: 65.239579 samples/sec accuracy=80.401875 loss=0.780391 lr=0.000001 Epoch[195] Batch [2549]/[3760] Speed: 65.668273 samples/sec accuracy=80.399510 loss=0.780378 lr=0.000001 Epoch[195] Batch [2599]/[3760] Speed: 65.434922 samples/sec accuracy=80.395433 loss=0.780476 lr=0.000001 Epoch[195] Batch [2649]/[3760] Speed: 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lr=0.000000 Epoch[195] Batch [3149]/[3760] Speed: 65.719354 samples/sec accuracy=80.410714 loss=0.780810 lr=0.000000 Epoch[195] Batch [3199]/[3760] Speed: 64.280405 samples/sec accuracy=80.403809 loss=0.781145 lr=0.000000 Epoch[195] Batch [3249]/[3760] Speed: 65.688378 samples/sec accuracy=80.394231 loss=0.781354 lr=0.000000 Epoch[195] Batch [3299]/[3760] Speed: 63.239645 samples/sec accuracy=80.400568 loss=0.781085 lr=0.000000 Epoch[195] Batch [3349]/[3760] Speed: 66.416454 samples/sec accuracy=80.408582 loss=0.780680 lr=0.000000 Epoch[195] Batch [3399]/[3760] Speed: 65.944139 samples/sec accuracy=80.392004 loss=0.781191 lr=0.000000 Epoch[195] Batch [3449]/[3760] Speed: 65.325628 samples/sec accuracy=80.391304 loss=0.781240 lr=0.000000 Epoch[195] Batch [3499]/[3760] Speed: 65.087703 samples/sec accuracy=80.379911 loss=0.781723 lr=0.000000 Epoch[195] Batch [3549]/[3760] Speed: 65.219518 samples/sec accuracy=80.359155 loss=0.782569 lr=0.000000 Epoch[195] Batch [3599]/[3760] Speed: 63.831283 samples/sec accuracy=80.364583 loss=0.782444 lr=0.000000 Epoch[195] Batch [3649]/[3760] Speed: 66.633690 samples/sec accuracy=80.363442 loss=0.782458 lr=0.000000 Epoch[195] Batch [3699]/[3760] Speed: 65.498684 samples/sec accuracy=80.361064 loss=0.782403 lr=0.000000 Epoch[195] Batch [3749]/[3760] Speed: 68.730368 samples/sec accuracy=80.366250 loss=0.782408 lr=0.000000 Batch [0049]/[0303]: acc-top1=66.125000 acc-top5=86.281250 Batch [0099]/[0303]: acc-top1=66.609375 acc-top5=86.421875 Batch [0149]/[0303]: acc-top1=66.864583 acc-top5=86.572917 Batch [0199]/[0303]: acc-top1=66.781250 acc-top5=86.312500 Batch [0249]/[0303]: acc-top1=67.037500 acc-top5=86.412500 Batch [0299]/[0303]: acc-top1=67.145833 acc-top5=86.541667 [Epoch 195] training: accuracy=80.371094 loss=0.782351 [Epoch 195] speed: 64 samples/sec time cost: 3990.011132 [Epoch 195] validation: acc-top1=67.161716 acc-top5=86.535685 loss=1.571731